Disclosure of Invention
The invention provides a quick replacement and positioning method and a quick replacement and positioning system for high-precision mechanical accessories, and mainly aims to improve the assembly efficiency of the mechanical accessories.
In order to achieve the above object, the present invention provides a method for quickly replacing and positioning a high-precision mechanical fitting, comprising:
acquiring an assembly station corresponding to a target mechanical fitting, acquiring a real-time assembly frequency spectrum corresponding to the assembly station, analyzing an assembly deviation curve of the assembly station under different fitting types based on the real-time assembly frequency spectrum, and constructing a space positioning network corresponding to the target mechanical fitting according to the assembly deviation curve;
Analyzing the positioning response characteristic in the spatial positioning network, extracting the precision error parameter and the repeated positioning threshold value in the positioning response characteristic, and calculating the positioning matching degree of the target mechanical fitting during quick replacement based on the precision error parameter and the repeated positioning threshold value;
Simulating a position deviation map of the assembly station under a dynamic impact working condition based on the positioning matching degree, and constructing a self-adaptive positioning rule corresponding to the target mechanical fitting according to the position deviation map;
Integrating the self-adaptive positioning rule and a preset quick locking mechanism, generating a positioning replacement strategy corresponding to the target mechanical fitting, extracting detailed replacement parameters in the positioning replacement strategy, and calculating a replacement efficiency attenuation value corresponding to the target mechanical fitting based on the detailed replacement parameters;
And dynamically adjusting a replacement action flow corresponding to the target mechanical fitting based on the replacement efficiency attenuation value, evaluating a flow processing state corresponding to the target mechanical fitting based on the replacement action flow, analyzing an efficiency processing dimension corresponding to the flow processing state, and formulating a replacement positioning scheme corresponding to the target mechanical fitting based on the efficiency processing dimension.
Optionally, the constructing a spatial positioning network corresponding to the target mechanical fitting according to the assembly deviation curve includes:
Summarizing the assembly deviation parameters of each item in the assembly deviation curve to obtain a deviation parameter summary set;
Setting network construction conditions corresponding to the target mechanical accessories based on the deviation parameter summary set;
analyzing the network construction conditions to obtain network analysis data;
analyzing a space positioning rule corresponding to the network analysis data;
and constructing a spatial positioning network corresponding to the target mechanical fitting based on the spatial positioning rule.
Optionally, the analyzing the positioning response characteristic in the spatial positioning network includes:
collecting network connection nodes corresponding to the space positioning network;
Tracing the node response record corresponding to the network connection node;
Extracting time sequence parameters in the node response record;
carding response changes of the spatial positioning network at different time points according to the time sequence parameters;
based on the response variation, a location response characteristic in the spatial location network is analyzed.
Optionally, the calculating, based on the precision error parameter and the repeated positioning threshold, a positioning matching degree of the target mechanical fitting during quick replacement includes:
calculating the positioning matching degree of the target mechanical fitting during quick replacement by using the following formula:
;
Wherein, theIndicating the degree of matching of the positioning of the target machine component at the time of quick replacement,Representing the number of sampling points for which the precision error parameter corresponds to the relocation threshold,An index indicating the number of sampling points,Represent the firstThe precision error parameters corresponding to the respective sampling points,Represent the firstThe repeated positioning threshold values corresponding to the sampling points,Represent the firstThe weight factors corresponding to the individual sample points,Represent the firstCalibration coefficients corresponding to the sampling points.
Optionally, based on the positioning matching degree, simulating a position deviation map of the assembly station under a dynamic impact working condition includes:
Comparing deviation characteristics between the positioning matching degree and a preset dynamic impact standard;
Dynamically decomposing the deviation characteristic to obtain dynamic decomposition data;
Extracting key dynamic points in the dynamic decomposition data;
Determining the position deviation range of the assembly station under the dynamic impact working condition based on the key dynamic points;
and simulating a position deviation map of the assembly station under a dynamic impact working condition based on the position deviation range.
Optionally, the constructing an adaptive positioning rule corresponding to the target mechanical fitting according to the position deviation map includes:
determining a key deviation area corresponding to the position deviation map;
Analyzing the positioning adjustment requirement corresponding to the target mechanical fitting based on the key deviation area;
Carrying out regularization treatment on the positioning adjustment requirement to obtain regularized adjustment data;
extracting core adjustment parameters in the regularized adjustment data;
And constructing an adaptive positioning rule corresponding to the target mechanical fitting based on the core adjustment parameters.
Optionally, the integrating the adaptive positioning rule with a preset quick locking mechanism, and generating a positioning replacement policy corresponding to the target mechanical accessory includes:
based on the self-adaptive positioning rule, constructing a dynamic positioning frame corresponding to the target mechanical fitting;
collecting running state data of the target mechanical fitting in real time;
Based on the dynamic positioning framework, carrying out matching analysis on the running state data to obtain a dynamic matching result;
determining a locking triggering condition corresponding to the target mechanical fitting according to the dynamic matching result and a preset quick locking mechanism;
constructing a positioning replacement flow corresponding to the target mechanical fitting according to the locking triggering condition;
and generating a positioning replacement strategy corresponding to the target mechanical fitting based on the positioning replacement flow.
Optionally, the calculating, based on the detailed replacement parameter, a replacement efficiency attenuation value corresponding to the target machine fitting includes:
calculating a replacement efficiency attenuation value corresponding to the target machine fitting using the following formula:
;
Wherein, theRepresenting a corresponding replacement efficiency attenuation value for the target machine component,Indicating the total number of said detailed replacement parameters,A number index indicating the correspondence of the detailed replacement parameter,Represent the firstThe weight coefficient corresponding to the detailed replacement parameter,Represent the firstThe load value corresponding to the individual detail replacement parameter,AndRespectively indicates the starting time and the ending time corresponding to the replacement process,Expressed in timeAnd (5) changing the capacity index at the moment.
Optionally, the dynamically adjusting the replacement action flow corresponding to the target mechanical fitting based on the replacement efficiency attenuation value includes:
dividing an efficiency attenuation interval corresponding to the replacement efficiency attenuation value;
Extracting key attenuation factors corresponding to the efficiency attenuation interval;
analyzing the influence degree corresponding to the key attenuation factors;
Determining an adjustment priority corresponding to the target mechanical fitting based on the influence degree;
and dynamically adjusting the replacement action flow corresponding to the target mechanical fitting based on the adjustment priority.
In order to solve the above problems, the present invention also provides a quick replacement and positioning system for high precision mechanical parts, the system comprising:
The network construction module is used for acquiring an assembly station corresponding to a target mechanical fitting, acquiring a real-time assembly frequency spectrum corresponding to the assembly station, analyzing an assembly deviation curve of the assembly station under different fitting types based on the real-time assembly frequency spectrum, and constructing a space positioning network corresponding to the target mechanical fitting according to the assembly deviation curve;
The matching degree calculation module is used for analyzing the positioning response characteristic in the spatial positioning network, extracting the precision error parameter and the repeated positioning threshold value in the positioning response characteristic, and calculating the positioning matching degree of the target mechanical fitting during quick replacement based on the precision error parameter and the repeated positioning threshold value;
The rule construction module is used for simulating a position deviation map of the assembly station under a dynamic impact working condition based on the positioning matching degree, and constructing a self-adaptive positioning rule corresponding to the target mechanical fitting according to the position deviation map;
the attenuation value calculation module is used for integrating the self-adaptive positioning rule and a preset quick locking mechanism, generating a positioning replacement strategy corresponding to the target mechanical fitting, extracting detailed replacement parameters in the positioning replacement strategy, and calculating a replacement efficiency attenuation value corresponding to the target mechanical fitting based on the detailed replacement parameters;
The scheme making module is used for dynamically adjusting the replacement action flow corresponding to the target mechanical fitting based on the replacement efficiency attenuation value, evaluating the flow processing state corresponding to the target mechanical fitting based on the replacement action flow, analyzing the efficiency processing dimension corresponding to the flow processing state, and making a replacement positioning scheme corresponding to the target mechanical fitting based on the efficiency processing dimension.
Compared with the problems in the prior art, the invention can accurately grasp the real-time state of fitting assembly by acquiring the assembly station corresponding to the target mechanical fitting and acquiring the real-time assembly frequency spectrum corresponding to the assembly station, and provide key data support for the subsequent analysis of the assembly deviation curve, thereby greatly improving the accuracy and stability of assembly, effectively identifying potential positioning deviation hidden danger by analyzing the positioning response characteristic in the space positioning network, further improving the assembly quality and reducing the output of inferior products, and simultaneously, can optimize the assembly flow according to the characteristics, the invention further simulates a position deviation map of the assembly station under a dynamic impact working condition based on the positioning matching degree, can intuitively present the position change condition of the station under a complex working condition, can identify potential assembly error risks in advance through the map, timely adjusts the assembly process, ensures the product quality, and further generates a positioning replacement strategy corresponding to the target mechanical accessory by integrating the self-adaptive positioning rule and a preset quick locking mechanism, thereby greatly improving the accessory replacement efficiency. The quick locking mechanism rapidly fixes the accessories, reduces the operation time, and finally, the invention dynamically adjusts the replacement action flow corresponding to the target mechanical accessory based on the replacement efficiency attenuation value, can timely cope with the problem of efficiency sliding, and can specifically identify links affecting the efficiency, thereby specifically optimizing the operation steps, effectively shortening the replacement time and improving the replacement efficiency. Therefore, the quick replacement and positioning method and system for the high-precision mechanical parts can improve the assembly efficiency of the mechanical parts.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The embodiment of the application provides a quick replacement and positioning method for a high-precision mechanical fitting. The main execution body of the quick replacement and positioning method of the high-precision mechanical accessory comprises, but is not limited to, at least one of a server, a terminal and the like which can be configured to execute the electronic equipment of the method provided by the embodiment of the application. In other words, the quick replacement and positioning method of the high-precision mechanical parts may be performed by software or hardware installed in the terminal device or the server device. The server side comprises, but is not limited to, a single server, a server cluster, a cloud server or a cloud server cluster and the like.
Example 1:
Referring to fig. 1, a flow chart of a method for quick replacement and positioning of a high-precision machine fitting according to an embodiment of the invention is shown. In this embodiment, the method for quickly replacing and positioning the high-precision mechanical fitting includes:
s1, acquiring an assembly station corresponding to a target mechanical fitting, acquiring a real-time assembly frequency spectrum corresponding to the assembly station, analyzing an assembly deviation curve of the assembly station under different fitting types based on the real-time assembly frequency spectrum, and constructing a space positioning network corresponding to the target mechanical fitting according to the assembly deviation curve.
According to the invention, the real-time state of fitting assembly can be accurately mastered by acquiring the assembly station corresponding to the target mechanical fitting and acquiring the real-time assembly frequency spectrum corresponding to the assembly station, and key data support is provided for subsequent analysis of the assembly deviation curve, so that the accuracy and stability of assembly are greatly improved.
The method comprises the steps of selecting a specific mechanical part as a specific assembly, replacement or maintenance operation object in the whole mechanical assembly process, wherein a piston, a crankshaft and the like can be a target mechanical part at a certain stage in the automobile engine assembly process, the assembly station refers to a working position for completing a specific assembly task in the mechanical assembly process, taking an electronic product assembly line as an example, a station specially used for welding electronic components, a station for installing a shell and the like, the specific positions are assembly stations, the real-time assembly spectrum refers to spectrum data which is acquired through a specific sensor or monitoring equipment and reflects the change of an assembly state along with time in the assembly process, various dynamic information such as vibration frequency, force change frequency and the like in the assembly process are displayed in a spectrum form, optionally, the assembly station corresponding to the acquisition target mechanical part can be realized through a station identification algorithm, such as real-time scanning, identification and positioning of the assembly station corresponding to the target mechanical part through an image identification algorithm (such as YOLO, faster R-CNN and the like), finally, the assembly is obtained, and the assembly can be realized through a real-time analysis of a real-time spectrum (such as frequency spectrum) by using a frequency spectrum analyzer (such as a frequency spectrum analyzer 39, a frequency spectrum (such as a frequency spectrum analyzer, a frequency spectrum) 9000) and the like) of the final assembly signal.
Furthermore, the method and the device analyze the assembly deviation curves of the assembly stations under different accessory types based on the real-time assembly frequency spectrum, can intuitively display abnormal fluctuation in the assembly process, accurately position links and reasons of assembly deviation, are beneficial to timely adjusting assembly process parameters, effectively reduce the defective rate and improve the overall quality of products.
The assembly deviation curve refers to a graphical representation of deviation degree of actual state and ideal state in the assembly process, time or assembly procedure progress is taken as a horizontal axis, numerical values of key assembly parameters (such as size deviation, position deviation, angle error, force deviation and the like) are taken as a vertical axis, fluctuation energy of the curve clearly shows abnormal fluctuation conditions in the assembly process, if the curve deviates from an ideal datum line, the curve shows that assembly deviation exists, the size and direction of the deviation can accurately position links and reasons generated by the assembly deviation, analysis is assisted to judge which assembly step and which assembly of accessories are problematic, optionally, the assembly deviation curve of the assembly station under different assembly types can be realized through a data analysis algorithm, for example, real-time assembly spectrum data is modeled by utilizing a time sequence analysis algorithm (such as ARIMA, prophet and the like), assembly deviation trends under different assembly types are identified, and finally the assembly deviation curve is obtained.
Furthermore, the invention constructs the space positioning network corresponding to the target mechanical fitting according to the assembly deviation curve, can greatly improve the positioning precision of the fitting during assembly, reduce the assembly error caused by inaccurate positioning, quickly and accurately determine the position of the fitting in the subsequent assembly process, obviously shorten the assembly time and improve the assembly efficiency.
The spatial positioning network is a network structure which is constructed according to a spatial positioning rule and is used for determining the accurate position of a target mechanical fitting in the assembly process, the spatial relationship and positioning information between the fittings are presented in a graphical mode, the spatial positioning network is generally composed of nodes and edges, the nodes represent the mechanical fittings or the assembly positions, and the edges represent the connection relationship, the position constraint and the like between the fittings.
The method comprises the steps of summarizing assembly deviation parameters of all the assembly deviation curves to obtain a deviation parameter summary set, setting network construction conditions corresponding to the target mechanical fittings based on the deviation parameter summary set, analyzing the network construction conditions to obtain network analysis data, analyzing spatial positioning rules corresponding to the network analysis data, and constructing a spatial positioning network corresponding to the target mechanical fittings based on the spatial positioning rules.
The deviation parameter collection is a collection formed by collecting and arranging various assembly deviation parameters in an assembly deviation curve, for example, when automobile parts are assembled, the deviation parameter collection comprises dimension deviation values of length, width and height directions when the parts are assembled, offset values of installation positions and design positions of the parts on plane coordinates and space coordinates and the like, the network construction conditions are a series of constraint conditions and rules which are set on the basis of the deviation parameter collection and used for constructing a space positioning network, various requirements which are required to be met by constructing the space positioning network are defined, the requirements include but are not limited to requirements on positioning accuracy, position relation constraint among different accessories, influence of assembly sequences on space layout and the like, and the network analysis data are data results obtained after analysis processing of the network construction conditions. The network construction conditions are converted into specific data forms which can be used for analyzing and constructing a space positioning network by applying specific algorithms and analysis tools, for example, accurate coordinate values of each assembly point in a three-dimensional space, connection relation between each assembly point, distance constraint values and other data are obtained by analyzing the network construction conditions, wherein the space positioning rule refers to a general rule which is analyzed from network analysis data and is related to the positioning of a target mechanical accessory in space, and the general rule reveals inherent logic and rules of the position determination of the accessory in the assembly process, such as the position change trend of the accessory in different assembly stages, the geometric rule followed by the relative position relation between the accessories and the like.
Further, the summarizing of the assembly deviation parameters of each item in the assembly deviation curve can be achieved through a data aggregation tool, for example, a Pandas library is utilized to count and summarize each item of parameters in the assembly deviation curve to finally obtain a deviation parameter summary set, the setting of the network construction conditions corresponding to the target mechanical accessories can be achieved through a rule engine, for example, a Drools rule engine is utilized to set the network construction conditions according to the deviation parameter summary set to finally obtain the network construction conditions, the analysis processing of the network construction conditions can be achieved through a natural language processing algorithm, for example, a BERT or GPT model is utilized to conduct semantic analysis on the construction conditions to finally obtain network analysis data, the analysis of the spatial positioning rules corresponding to the network analysis data can be achieved through a spatial data analysis algorithm, for example, geopandas or ArcGIS is utilized to conduct spatial analysis on the network analysis data to extract the positioning rules to finally obtain the spatial positioning rules, and the construction of the spatial positioning network corresponding to the target mechanical accessories can be achieved through a network modeling tool, for example, a spatial positioning network is constructed according to the spatial positioning rules by utilizing NetworkX or Gephi, and finally obtaining the spatial positioning network.
S2, analyzing the positioning response characteristic in the spatial positioning network, extracting the precision error parameter and the repeated positioning threshold value in the positioning response characteristic, and calculating the positioning matching degree of the target mechanical fitting during quick replacement based on the precision error parameter and the repeated positioning threshold value.
According to the invention, potential positioning deviation hidden danger can be effectively identified by analyzing the positioning response characteristics in the spatial positioning network, so that the assembly quality is improved, the defective product output is reduced, and meanwhile, the assembly flow can be optimized according to the characteristics, and the equipment operation efficiency is improved.
The positioning response characteristic refers to the inherent characteristic of the spatial positioning network in terms of positioning operation, which is summarized through deep analysis of response change, for example, if the positioning error of the spatial positioning network to the accessory at different time points is always controlled within a very small range, and the response time is stable, the positioning response characteristic of the network with high precision and high stability is shown.
The method comprises the steps of collecting network connection nodes corresponding to the spatial positioning network, tracing node response records corresponding to the network connection nodes, extracting time sequence parameters in the node response records, combing response changes of the spatial positioning network at different time points according to the time sequence parameters, and analyzing the positioning response characteristics in the spatial positioning network based on the response changes.
The network connection node is a basic unit forming the whole network structure in a space positioning network, for example, in the space positioning network of a complex machine assembly workshop, each assembly station, a transfer equipment stop point and even a high-precision machine fitting can be regarded as the network connection node, the node response record refers to a record of a series of response information generated by each network connection node in the assembly process, for example, when the machine fitting reaches a certain assembly station (namely, a corresponding network connection node), information such as signal feedback, operation state change and the like generated by the operation of equipment on the station for detecting, grabbing, installing and the like of the fitting can be recorded as the response record of the node, the time sequence parameter refers to a time-related parameter set extracted from the node response record, the parameters are mainly used for describing characteristics of the node response in a time dimension, such as the response occurrence moment, the response duration and the like, the response change refers to dynamic change condition of the response state of each node in the space positioning network in different time points based on the time sequence parameter, for example, the response of the fitting is gradually shortened in the assembly process, and the response to the fitting is gradually shortened in the process of the same time sequence as the fitting is carried out in the assembly.
Further, the collecting of the network connection nodes corresponding to the spatial positioning network can be achieved through a network topology analysis tool, for example, a NetworkX library is utilized to conduct topology analysis on the spatial positioning network, network connection nodes are extracted, finally, network connection nodes are obtained, the tracing of the node response records corresponding to the network connection nodes can be achieved through a log analysis tool, for example, an ELK Stack (ELASTICSEARCH, LOGSTASH, KIBANA) is utilized to collect and trace the node response records, finally, node response records are obtained, the extracting of time sequence parameters in the node response records can be achieved through a time sequence analysis algorithm, for example, a Prophet or ARIMA model is utilized to conduct time sequence parameter extraction on the node response records, finally, time sequence parameters are obtained, the carding of response changes of the spatial positioning network at different time points can be achieved through a data visualization tool, for example, matplotlib or Tableau are utilized to conduct visual analysis on the time sequence parameters, finally, the carding of response changes can be achieved, the analyzing of the positioning response characteristics in the spatial positioning network can be achieved through a machine learning algorithm, for example, a random forest or a support vector machine is utilized to conduct characteristic analysis on the response changes, and finally, the positioning response characteristics are obtained.
According to the invention, the positioning performance of the spatial positioning network can be accurately quantized by extracting the precision error parameter and the repeated positioning threshold value in the positioning response characteristic, and the actual deviation in the assembly process can be intuitively mastered, so that the assembly process can be timely adjusted, and the assembly precision of the accessory is ensured to reach the standard.
The precision error parameter refers to the degree of deviation between an actual positioning position and a theoretical target position, taking a machining center as an example, when a cutter is positioned to a specified coordinate position for part machining, the precision error parameter comprises the difference value between the actual reaching position of the cutter in the X, Y, Z axial direction and a programmed setting position, and the difference value generally originates from manufacturing precision of equipment, assembly errors, gaps of a transmission system and environmental factors such as temperature change and the like, the repeated positioning threshold refers to the consistency of the positioning position in the process of measuring the equipment in repeated positioning operation, the mechanical arm needs to grasp parts with the same specification for a plurality of times and place the parts to a fixed assembly position on an automatic assembly line, the repeated positioning threshold refers to the maximum allowable value of the fluctuation range in the repeated positioning operation in the specified time, for example, the mechanical arm fluctuates within a range of +/-0.05 mm in the repeated positioning operation, and the +/-0.05 mm is the repeated positioning threshold value of the equipment under the working condition, and optionally, the precision response parameter and the repeated positioning response threshold value in the extracted positioning response characteristic can be obtained through analyzing the precision response error parameter and the repeated positioning response error threshold value by utilizing a Pandas to analyze the precision error parameter and the repeated positioning response error parameter database.
Furthermore, the invention calculates the positioning matching degree of the target mechanical accessory during quick replacement based on the precision error parameter and the repeated positioning threshold value, and can pre-judge the matching degree of accessory positioning in the replacement process in advance, thereby effectively reducing the debugging time of accessory installation and greatly improving the assembly efficiency.
The positioning matching degree is a quantization index and is used for measuring the matching degree of the actual positioning condition and the ideal positioning condition when the target mechanical fitting is quickly replaced, the higher the positioning matching degree is, the more accurate the positioning of the fitting after quick replacement is, the better the assembly or working requirements can be met, otherwise, the larger the positioning deviation is, the adjustment or optimization is needed.
As one embodiment of the present invention, the calculating, based on the accuracy error parameter and the repeated positioning threshold, a positioning matching degree of the target machine fitting at the time of quick replacement includes:
calculating the positioning matching degree of the target mechanical fitting during quick replacement by using the following formula:
;
Wherein, theIndicating the degree of matching of the positioning of the target machine component at the time of quick replacement,Representing the number of sampling points for which the precision error parameter corresponds to the relocation threshold,An index indicating the number of sampling points,Represent the firstThe precision error parameters corresponding to the respective sampling points,Represent the firstThe repeated positioning threshold values corresponding to the sampling points,Represent the firstThe weight factors corresponding to the individual sample points,Represent the firstCalibration coefficients corresponding to the sampling points.
In detail, the sampling points refer to specific positions or time points selected in the process of measuring precision error parameters and repeated positioning thresholds, the precision error parameters and the repeated positioning thresholds are acquired by collecting data on the points, so that the positioning matching degree is calculated, different sampling points can correspond to different mounting positions, movement stages and the like of mechanical accessories, the positioning characteristics of the mechanical accessories can be more comprehensively reflected, the weight factors refer to importance degree occupied by each sampling point when the positioning matching degree is calculated, for example, higher weight can be given to the sampling points corresponding to key assembly positions or links with higher precision requirements, so that the positioning condition of the points has greater influence on the final matching degree, the calibration coefficients refer to correction and calibration of the data of each sampling point, and the calibration coefficients can adjust the deviations, so that the calculation result is more in line with the actual positioning matching condition.
And S3, simulating a position deviation map of the assembly station under a dynamic impact working condition based on the positioning matching degree, and constructing a self-adaptive positioning rule corresponding to the target mechanical fitting according to the position deviation map.
Based on the positioning matching degree, the position deviation map of the assembly station under the dynamic impact working condition is simulated, the position change condition of the station under the complex working condition can be visually presented, potential assembly error risks can be recognized in advance through the map, the assembly process can be adjusted in time, and the product quality is ensured.
The dynamic impact working condition refers to various dynamic and impact external working conditions received by an assembly station, a mechanical fitting and the like in the mechanical assembly process, the effects generally have the characteristics of instantaneity and high strength, such as inertial impact force generated when the mechanical arm rapidly grabs or places the fitting or sudden vibration, collision and the like encountered in the equipment operation process on an automatic production line, the position deviation map refers to the position deviation condition of the assembly station under the dynamic impact working condition displayed in a graphical mode, the time or other relevant factors are generally taken as a transverse axis, the numerical value of the position deviation is taken as a longitudinal axis, and the information such as the position deviation range, the key dynamic point and the like is marked and presented in the figure.
The method comprises the steps of comparing deviation characteristics between the positioning matching degree and a preset dynamic impact standard, dynamically decomposing the deviation characteristics to obtain dynamic decomposition data, extracting key dynamic points in the dynamic decomposition data, determining a position deviation range of the assembly station under the dynamic impact working condition based on the key dynamic points, and simulating the position deviation map of the assembly station under the dynamic impact working condition based on the position deviation range.
The deviation feature is the difference expression between the specified position matching degree and a preset dynamic impact standard, and comprises the aspects of the magnitude, direction, change trend and the like of the deviation, such as the position matching degree is lower than the amplitude of a standard value, or the position matching degree is continuously deviated or intermittently deviated in the dynamic impact process, and the like, the information is helpful for knowing the difference condition between the current assembly station and an ideal state under the dynamic impact working condition, the dynamic decomposition data are data obtained after deep analysis and disassembly of the deviation feature, such as the data of specific deviation values, change rates and the like of each stage are obtained by decomposing the deviation feature according to different stages of the dynamic impact, the key dynamic point is a point or a state point which is extracted from dynamic decomposition data and has important significance, the point is a point where the deviation reaches the maximum value or the minimum value, the deviation change trend is a turning point, or is a special working condition point which has significant influence on the position deviation of an assembly station, the position deviation range is determined based on the dynamic point, the position deviation boundary of the assembly station is easy to appear under the dynamic impact working condition, and the position deviation of the assembly station can be intuitively understood to the maximum position deviation of the assembly station can be the ideal position in the dynamic impact working condition.
Further, the comparison of the deviation features between the positioning matching degree and the preset dynamic impact standard can be achieved through a difference analysis tool, for example, a NumPy library is used for carrying out difference calculation on the positioning matching degree and the dynamic impact standard, deviation features are extracted, and finally deviation features are obtained, the dynamic decomposition of the deviation features can be achieved through a signal processing algorithm, for example, fourier transformation or wavelet transformation is used for carrying out frequency domain decomposition on the deviation features, and finally dynamic decomposition data are obtained, the extraction of key dynamic points in the dynamic decomposition data can be achieved through a peak detection algorithm, for example, a find_ peaks function in a Scipy library is used for extracting key dynamic points, the determination of the position deviation range of the assembly station under the dynamic impact working condition can be achieved through a statistical analysis tool, for example, pandas library is used for carrying out statistical analysis on the key dynamic points, the deviation range is determined, and finally the position deviation range is obtained, and the simulation of the assembly station under the dynamic impact working condition can be achieved through a data visualization tool, for example, the position deviation range is subjected to visual simulation through Matplotlib or Seaborn, and finally the position deviation map is obtained.
According to the position deviation map, the self-adaptive positioning rule corresponding to the target mechanical fitting is constructed, the dynamic impact working condition can be accurately handled, the fitting positioning can be automatically adjusted according to the actual deviation, the assembly precision is improved, and the defective rate is reduced.
The self-adaptive positioning rule is a set of rule system constructed according to the core adjustment parameters, and can enable the target mechanical accessory to automatically perform positioning adjustment under different working conditions, for example, when the position deviation of the mechanical accessory is monitored to fall into a specific key deviation area, the self-adaptive positioning rule can automatically control related equipment to adjust the corresponding direction and amplitude of the accessory according to the core adjustment parameters, so that accurate positioning is realized.
The method comprises the steps of determining a key deviation area corresponding to a position deviation map, analyzing positioning adjustment requirements corresponding to the target mechanical fitting based on the key deviation area, conducting regularization processing on the positioning adjustment requirements to obtain regularized adjustment data, extracting core adjustment parameters in the regularized adjustment data, and constructing the self-adaptive positioning rule corresponding to the target mechanical fitting based on the core adjustment parameters.
The key deviation areas refer to deviation concentration areas with great influence on normal assembly or use performance of the target mechanical accessory in a position deviation map, for example, the map shows that in a certain assembly stage, the position deviation suddenly and rapidly increases, the deviation directly affects the mounting precision of the subsequent accessory, and the area with the suddenly increased deviation is the key deviation area; the positioning adjustment requirement is obtained based on analysis of a key deviation area, for example, if the key deviation area shows that the fitting is excessively far to the right in the horizontal direction, the positioning adjustment requirement is to adjust the fitting to the left by a certain distance, and meanwhile, related angle parameters are required to be finely adjusted to ensure the whole positioning accuracy, the regularized adjustment data is a data form obtained after the positioning adjustment requirement is subjected to system arrangement and normalization, for example, the positioning adjustment requirements corresponding to different key deviation areas are recorded according to a uniform format, including adjustment conditions (such as adjustment when the deviation reaches), adjustment specific operations (such as how much angle a motor rotates to drive the fitting to move) and the like, the core adjustment parameters are extracted from the regularized adjustment data, and are key parameters playing a decisive role in constructing a self-adaptive positioning rule, for example, in the regularized adjustment data, the related fitting moving distance parameters, angle adjustment parameters, adjustment speed parameters and the like, wherein the parameters have the greatest influence on the positioning accuracy and have a dominant role in the adjustment process, is the core tuning parameter.
Further, the determination of the key deviation area corresponding to the position deviation map may be achieved through an image recognition algorithm, for example, a key deviation area is extracted by using an edge detection or area segmentation technology in an OpenCV library, a key deviation area is finally obtained, the analysis of the positioning adjustment requirement corresponding to the target mechanical fitting may be achieved through a requirement analysis tool, for example, the data analysis of the key deviation area is performed by using a Pandas library, the positioning adjustment requirement is determined, the positioning adjustment requirement is finally obtained, the regularization processing of the positioning adjustment requirement may be achieved through a rule engine, for example, the positioning adjustment requirement is converted into regularized adjustment data by using a Drools rule engine, the regularized adjustment data is finally obtained, the extraction of the core adjustment parameter in the regularized adjustment data may be achieved through a parameter extraction algorithm, for example, the core adjustment parameter is finally obtained by using a feature selection method in a Scikit-learn library, the construction of the self-adaptive positioning rule corresponding to the target mechanical fitting may be achieved through a machine learning algorithm, for example, the self-adaptive positioning rule model based on the core adjustment parameter is constructed by using TensorFlow or PyTorch, and the self-adaptive positioning rule is finally obtained.
S4, integrating the self-adaptive positioning rule and a preset quick locking mechanism, generating a positioning replacement strategy corresponding to the target mechanical fitting, extracting detailed replacement parameters in the positioning replacement strategy, and calculating a replacement efficiency attenuation value corresponding to the target mechanical fitting based on the detailed replacement parameters.
According to the invention, the positioning replacement strategy corresponding to the target mechanical accessory is generated by integrating the self-adaptive positioning rule and the preset quick locking mechanism, so that the accessory replacement efficiency can be greatly improved. The self-adaptive positioning rule dynamically adjusts and positions according to the actual working condition to ensure accurate positioning after replacement, and the quick locking mechanism quickly fixes accessories to reduce the operation time.
The preset quick locking mechanism refers to a set of efficient fixing fittings set in advance in a high-precision mechanical fitting replacement scene, the fittings can be quickly and accurately fixed at target positions after reaching an assembly station through specific mechanical structures, magnetic adsorption or hydraulic clamping modes and the like, positioning deviation caused by time consumption or instability of a fixing process is reduced, and guarantee is provided for quick advance of a subsequent assembly process, and the positioning replacement strategy refers to a set of complete scheme formed by integrating dynamic positioning frames, running state data, dynamic matching results, locking triggering conditions and positioning replacement processes, and defines how to realize efficient and accurate replacement of target mechanical fittings through cooperative operation of self-adaptive positioning rules and the quick locking mechanism under different conditions, and comprises decision basis, an operation method, emergency treatment measures and the like in the whole replacement process.
The method comprises the steps of integrating the self-adaptive positioning rule and a preset quick locking mechanism to generate a positioning replacement strategy corresponding to the target mechanical fitting, constructing a dynamic positioning frame corresponding to the target mechanical fitting based on the self-adaptive positioning rule, collecting running state data of the target mechanical fitting in real time, carrying out matching analysis on the running state data based on the dynamic positioning frame to obtain a dynamic matching result, determining a locking triggering condition corresponding to the target mechanical fitting according to the dynamic matching result and the preset quick locking mechanism, constructing a positioning replacement process corresponding to the target mechanical fitting according to the locking triggering condition, and generating the positioning replacement strategy corresponding to the target mechanical fitting based on the positioning replacement process.
The dynamic positioning framework is a logic framework which is built according to self-adaptive positioning rules and is used for guiding a target mechanical accessory to position and adjust under different working conditions, defines how the mechanical accessory is to position and adjust according to deviation information under various dynamic change conditions, and covers key elements such as the principle, the method and the process of adjustment, the operation state data is an information set which is acquired in real time through various sensors and reflects the current working condition of the target mechanical accessory, the data comprises physical parameters such as the position, the speed, the acceleration, the vibration amplitude and the like of the accessory and the operation parameters of related equipment, such as the motor rotating speed, the torque and the like, the dynamic matching result is a result obtained by comparing the operation state data with the dynamic positioning framework, which indicates the fitting degree between the actual operation state of the current mechanical accessory and the ideal state set by the dynamic positioning framework, and can comprise information such as position deviation value, adjustment direction suggestion, required adjustment amplitude and the like, the locking triggering condition is determined based on the dynamic matching result and a preset quick locking mechanism, the condition is a precondition for starting the quick locking operation, when the specific matching range is met, such as the new mechanical accessory is required to be changed, the new mechanical accessory is required to be changed in a certain setting condition, the quick change triggering condition is set up, and the quick change is triggered when the fitting is changed from the new setting condition to a certain setting condition or the new setting condition is reached, the quick change triggering condition is reached, for the fitting is required to be changed in a certain setting, for the quick change condition is required to be changed, for the fitting is required to be changed, for the quick change, for the fitting is required to be changed, for the fitting is in a quick change, the fitting is required to be changed, and is a quick change, and is a quick operation, and is a equipment is required to be a and is to be changed to be, quick locking operation, fine adjustment based on self-adaptive positioning rules and the like.
Further, the construction of the dynamic positioning framework corresponding to the target mechanical fitting can be achieved through a machine learning algorithm, for example, a dynamic positioning model based on historical data is constructed through TensorFlow or PyTorch, the real-time collection of the operation state data of the target mechanical fitting can be achieved through a data collection tool, for example, the real-time collection of sensor data through Kafka or Fluentd, the final acquisition of the operation state data can be achieved through a data analysis algorithm, for example, the operation state data is subjected to a matching analysis through a clustering or classifying algorithm in Scikit-learn, the final acquisition of a dynamic matching result is achieved, the determination of the locking triggering condition corresponding to the target mechanical fitting can be achieved through a rule engine, for example, the locking triggering condition is generated through a drool rule engine according to the dynamic matching result, the construction of the locking triggering condition is achieved through a flow modeling tool, for example, the locking triggering condition is subjected to a design through BPMN or UML, the final acquisition of the positioning replacement is achieved, the generation of the positioning replacement is achieved through a positioning strategy optimization algorithm, for example, the positioning strategy is optimized through a particle replacement strategy optimization algorithm.
According to the invention, the detailed replacement parameters in the positioning replacement strategy are extracted, so that the power-assisted accurate control of the fitting replacement process can be realized, the operation details of the parameters, such as the disassembly and assembly positions and the assembly forces of the fitting, are clear, the assembly errors are reduced, and the assembly quality is improved.
The detailed replacement parameters refer to a series of key data for accurately guiding the replacement operation of the target mechanical accessory in the positioning replacement strategy, and cover the force, angle and sequence of the old accessory when the old accessory is detached, the accurate position coordinates of the new accessory installation, the tightening torque value, the triggering time of quick locking, the locking force, the amplitude, the direction and the like of the self-adaptive positioning fine tuning, optionally, the extraction of the detailed replacement parameters in the positioning replacement strategy can be realized through a parameter extraction algorithm, for example, the key parameters are extracted from the positioning replacement strategy by utilizing a data analysis function in a Pandas library or a feature selection method in a Scikit-learn, and finally the detailed replacement parameters are obtained.
According to the invention, based on the detailed replacement parameters, the replacement efficiency attenuation value corresponding to the target mechanical accessory is calculated, the change condition of the replacement process along with time or times can be visually observed, and links affecting the replacement efficiency can be accurately positioned by means of the values, potential problems are prejudged in advance, and the process is optimized in a targeted manner, so that the efficient replacement is ensured.
The change efficiency attenuation value is used for measuring the degree that the change efficiency of the target mechanical accessory is reduced along with the influence of various factors in the change process, and the higher the value is, the more the change efficiency is reduced compared with an ideal state, which means that some obstruction factors such as complex operation and equipment abrasion exist in the change process, and on the contrary, the lower the value is, the lighter the attenuation condition of the change efficiency is, and the change process is smoother.
As one embodiment of the present invention, the calculating, based on the detailed replacement parameter, a replacement efficiency attenuation value corresponding to the target machine fitting includes:
calculating a replacement efficiency attenuation value corresponding to the target machine fitting using the following formula:
;
Wherein, theRepresenting a corresponding replacement efficiency attenuation value for the target machine component,Indicating the total number of said detailed replacement parameters,A number index indicating the correspondence of the detailed replacement parameter,Represent the firstThe weight coefficient corresponding to the detailed replacement parameter,Represent the firstThe load value corresponding to the individual detail replacement parameter,AndRespectively indicates the starting time and the ending time corresponding to the replacement process,Expressed in timeAnd (5) changing the capacity index at the moment.
In detail, the weight coefficient refers to the importance of each detailed replacement parameter in calculating the replacement efficiency attenuation value, for example, parameters with larger influence on efficiency in the replacement process, such as the accurate position of fitting installation, can be given higher weight, parameters with smaller influence on efficiency are given lower weight, the load value refers to the condition of the load or pressure born by the parameter in the replacement process, such as the load value corresponding to the detailed replacement parameter, such as the tightening torque in the fitting tightening operation, reflects the information of the load, such as the resistance to be overcome by the tightening operation, the larger the load value is, the more negative influence on the replacement efficiency is, and the replacement capacity index refers to the timeThe capacity index is changed at any time, and reflects the capacity of the system or the equipment to complete the replacement operation at different time points in the replacement process, for example, as the replacement time passes, the equipment generates heat, wears out and the like, so that the capacity index is reduced, and the replacement efficiency is further affected.
And S5, dynamically adjusting a replacement action flow corresponding to the target mechanical fitting based on the replacement efficiency attenuation value, evaluating a flow processing state corresponding to the target mechanical fitting based on the replacement action flow, analyzing an efficiency processing dimension corresponding to the flow processing state, and formulating a replacement positioning scheme corresponding to the target mechanical fitting based on the efficiency processing dimension.
According to the invention, based on the replacement efficiency attenuation value, the replacement action flow corresponding to the target mechanical fitting is dynamically adjusted, so that the problem of efficiency sliding can be solved in time, the operation steps are optimized in a targeted manner by accurately identifying links affecting the efficiency, the replacement time can be effectively shortened, and the replacement efficiency can be improved.
The replacement action flow is a series of specific operation steps and sequences from the beginning of preparation work to the disassembly of old accessories, the installation and debugging of new accessories and the like in the process of replacing target mechanical accessories, and the replacement action flow is dynamically adjusted, namely, the original operation steps, sequences and the like are optimized and improved according to the determined adjustment priority, so that the replacement efficiency is improved.
As one embodiment of the invention, the dynamic adjustment of the replacement action flow corresponding to the target mechanical fitting based on the replacement efficiency attenuation value comprises dividing an efficiency attenuation section corresponding to the replacement efficiency attenuation value, extracting key attenuation factors corresponding to the efficiency attenuation section, analyzing the influence degree corresponding to the key attenuation factors, determining the adjustment priority corresponding to the target mechanical fitting based on the influence degree, and dynamically adjusting the replacement action flow corresponding to the target mechanical fitting based on the adjustment priority.
The method comprises the steps of dividing a range of the efficiency attenuation interval into different interval sections according to the magnitude of a replacement efficiency attenuation value, dividing the range of the efficiency attenuation interval into different interval sections, wherein each interval represents the level of the reduction of the replacement efficiency of different degrees, for example, a low attenuation interval represents the reduction of the replacement efficiency, the influence of a certain key attenuation factor on the replacement time is small, or the replacement success rate is reduced by 15%, the data are the influence degree of the factor, the key attenuation factors are factors which play a main role in the reduction of the replacement efficiency in each efficiency attenuation interval, for example, in a certain efficiency attenuation interval, the key attenuation factors are factors which have the influence on the improvement or adjustment of the replacement efficiency, are found out to be inaccurate in positioning during the replacement of accessories, a great amount of time is consumed for adjustment, the abrasion of the equipment parts is the key attenuation factor in the interval, the influence degree is the influence degree of the key attenuation factor of the critical attenuation factor, for example, the influence of the key attenuation factor can be prolonged by 20% on the replacement time, or the replacement success rate is reduced by 15%, the data are the influence degree of the factor, the influence degree is reflected, the key attenuation factors are normally, the influence degree of the factors is improved or adjusted based on the key attenuation factors, the key attenuation factors are improved or adjusted, the priority factors, the priority is high in the priority degree, and the priority is high, and the priority is more than the priority and the priority of the change is more and the priority is more.
Further, the dividing of the efficiency attenuation interval corresponding to the replacement efficiency attenuation value may be achieved through a quantile division method, for example, by calculating the quartile (Q1, Q2, Q3) of the replacement efficiency attenuation value, dividing the efficiency attenuation value into a low attenuation interval (< Q1), a middle attenuation interval (Q1-Q3) and a high attenuation interval (> Q3), so as to obtain the efficiency attenuation interval, extracting the key attenuation factor corresponding to the efficiency attenuation interval may be achieved through a Principal Component Analysis (PCA), for example, by performing a dimensionality reduction analysis on the replacement efficiency attenuation value and related parameters thereof, extracting the principal component with the highest contribution rate as the key attenuation factor, finally obtaining the key attenuation factor, for example, by calculating the weight value of each key attenuation factor, quantifying the influence degree of each key attenuation factor on the replacement efficiency attenuation, finally obtaining the influence degree, the determining the adjustment priority corresponding to the target mechanical fitting may be achieved through a weighted division method, for example, by performing a dynamic adjustment of the replacement efficiency attenuation factor and the corresponding to the target fitting by using a dynamic adjustment algorithm (MDP) according to the influence of the key attenuation factor and the relevant parameters, for example, by constructing a weighted decision-making a decision-making process, by using a dynamic adjustment of the target fitting, and finally obtaining the key attenuation factor by a hierarchical analysis (e.g., by constructing a decision-making process), and finally, obtaining the dynamically adjusted replacement action flow.
Based on the replacement action flow, the invention evaluates the flow processing state corresponding to the target mechanical accessory, analyzes the efficiency processing dimension corresponding to the flow processing state, can clearly grasp the actual condition of the replacement process, can discover the bottleneck and the low-efficiency link in the flow in time, and improves the overall replacement efficiency by targeted optimization.
The process processing state refers to specific conditions of the target mechanical accessory replacement action process in the execution process, including the completion progress of each operation link, whether abnormal conditions (such as equipment faults and misoperation) occur, whether the connection between different steps is smooth, and the like, reflects the current stage and the running condition of the whole replacement process, and can timely find problems in the replacement process through the evaluation of the process processing state so as to take corresponding measures to solve the problems; the efficiency processing dimension refers to the aspect of measuring and analyzing the efficiency of the replacement action flow from multiple aspects, such as a time dimension, focusing on time spent by each operation step and the whole replacement flow, evaluating whether time waste exists or not, a resource dimension, considering the utilization efficiency of resources such as manpower, material resources, financial resources and the like in the replacement process, such as the use frequency of tools, workload of personnel and the like, a quality dimension, analyzing the influence of the replacement flow on the installation quality of the accessories, and further affecting the overall efficiency if the accessory installation precision is not up to standard due to unreasonable flow, wherein the factor to be considered by the efficiency processing dimension is also the factor, optionally, the evaluation of the flow processing state corresponding to the target mechanical accessory can be realized through a flow mining algorithm, such as extracting a flow model from a replacement log of the target mechanical accessory through using an Alpha algorithm or a heuristic mining algorithm, and finally obtaining the flow processing state, and the analysis of the efficiency processing dimension corresponding to the flow processing state can be realized through a multidimensional data analysis tool, such as using Tableau or PowerBI and the like, consuming time, resources and the flow processing state, and performing visual analysis on the dimensionalities such as the error rate and the like, identifying key dimensionalities of efficiency processing, and finally obtaining the efficiency processing dimensionality.
Furthermore, the invention establishes a replacement positioning scheme corresponding to the target mechanical fitting based on the efficiency processing dimension, can accurately match time, resources and quality requirements, can assist in planning of a high-efficiency replacement period, reduces the downtime, ensures reasonable allocation of manpower and material resources by the resource dimension, reduces cost, ensures accurate positioning by the quality dimension, and improves the assembly quality.
The replacement positioning scheme refers to a comprehensive and fine operation plan, is specially designed for a replacement scene of a target mechanical accessory, and comprises the whole process steps from the detachment of an old accessory to the accurate positioning and installation of a new accessory, including accessory detachment sequence, carrying route planning, and the positioning mode of the new accessory at an assembly station, such as a positioning tool, a calibration position according to reference points, and meanwhile, resource allocation of manpower, tools and the like required by each link in the scheme, and an optimization strategy formulated for different efficiency processing dimensions (such as time, resources and quality) so as to ensure that the replacement process is performed efficiently, accurately and stably.
Compared with the problems in the prior art, the invention can accurately grasp the real-time state of fitting assembly by acquiring the assembly station corresponding to the target mechanical fitting and acquiring the real-time assembly frequency spectrum corresponding to the assembly station, and provide key data support for the subsequent analysis of the assembly deviation curve, thereby greatly improving the accuracy and stability of assembly, effectively identifying potential positioning deviation hidden danger by analyzing the positioning response characteristic in the space positioning network, further improving the assembly quality and reducing the output of inferior products, and simultaneously, can optimize the assembly flow according to the characteristics, the invention further simulates a position deviation map of the assembly station under a dynamic impact working condition based on the positioning matching degree, can intuitively present the position change condition of the station under a complex working condition, can identify potential assembly error risks in advance through the map, timely adjusts the assembly process, ensures the product quality, and further generates a positioning replacement strategy corresponding to the target mechanical accessory by integrating the self-adaptive positioning rule and a preset quick locking mechanism, thereby greatly improving the accessory replacement efficiency. The quick locking mechanism rapidly fixes the accessories, reduces the operation time, and finally, the invention dynamically adjusts the replacement action flow corresponding to the target mechanical accessory based on the replacement efficiency attenuation value, can timely cope with the problem of efficiency sliding, and can specifically identify links affecting the efficiency, thereby specifically optimizing the operation steps, effectively shortening the replacement time and improving the replacement efficiency. Therefore, the quick replacement and positioning method and system for the high-precision mechanical parts can improve the assembly efficiency of the mechanical parts.
Example 2:
FIG. 2 is a functional block diagram of a quick change and position system for high precision machine parts according to the present invention.
The quick change and positioning system 200 for high precision mechanical parts of the present invention may be installed in an electronic device. Depending on the functions implemented, the quick change and positioning system for high precision machine parts may include a network construction module 201, a matching degree calculation module 202, a rule construction module 203, an attenuation value calculation module 204, and a plan formulation module 205. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.
In the embodiment of the present invention, the functions of each module/unit are as follows:
The network construction module 201 is configured to obtain an assembly station corresponding to a target mechanical accessory, collect a real-time assembly spectrum corresponding to the assembly station, analyze an assembly deviation curve of the assembly station under different accessory types based on the real-time assembly spectrum, and construct a spatial positioning network corresponding to the target mechanical accessory according to the assembly deviation curve;
The matching degree calculating module 202 is configured to analyze a positioning response characteristic in the spatial positioning network, extract a precision error parameter and a repeated positioning threshold in the positioning response characteristic, and calculate a positioning matching degree of the target mechanical fitting during quick replacement based on the precision error parameter and the repeated positioning threshold;
The rule construction module 203 is configured to simulate a position deviation map of the assembly station under a dynamic impact working condition based on the positioning matching degree, and construct an adaptive positioning rule corresponding to the target mechanical fitting according to the position deviation map;
The attenuation value calculating module 204 is configured to integrate the adaptive positioning rule and a preset quick locking mechanism, generate a positioning replacement policy corresponding to the target mechanical fitting, extract detailed replacement parameters in the positioning replacement policy, and calculate a replacement efficiency attenuation value corresponding to the target mechanical fitting based on the detailed replacement parameters;
The solution formulation module 205 is configured to dynamically adjust a replacement action flow corresponding to the target machine accessory based on the replacement efficiency attenuation value, evaluate a flow processing state corresponding to the target machine accessory based on the replacement action flow, analyze an efficiency processing dimension corresponding to the flow processing state, and formulate a replacement positioning solution corresponding to the target machine accessory based on the efficiency processing dimension.
In detail, the modules in the rapid replacement and positioning system 200 for high-precision mechanical parts in the embodiment of the present invention use the same technical means as the rapid replacement and positioning method for high-precision mechanical parts described in fig. 1, and can produce the same technical effects, which are not described herein.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.