Disclosure of Invention
In order to solve the problems, the application provides a control method and a control system of an ultrasonic cleaning device, which realize the effect of automatic cleaning.
In order to achieve the above purpose, the present application adopts the following technical scheme:
in a first aspect, the present application provides a control method of an ultrasonic cleaning apparatus, the control method comprising the steps of:
s1, constructing a cleaning mode taking the weight of a cleaning material as a parameter according to historical test data of an ultrasonic cleaning device, and setting each threshold index in the cleaning mode;
s2, integrating and applying the set cleaning mode and threshold index with a controller of the ultrasonic cleaning device;
s3, placing the articles into the cleaning device, and executing corresponding cleaning modes according to the judging conditions of the controller;
and S4, monitoring the cleaning mode and the threshold index in real time according to actual conditions, and optimizing and adjusting the cleaning mode and the threshold index.
As an alternative embodiment, the constructing a cleaning mode using the cleaning material weight as a parameter according to the historical test data of the ultrasonic cleaning device, and setting each threshold indicator in the cleaning mode includes the following steps:
s11, an actuator collects historical data of the ultrasonic cleaning device during testing through a sensor;
s12, screening a data synthesis sample related to the weight of the cleaning article, the ultrasonic frequency and the cleaning time from the historical data through an actuator;
s13, an executor establishes a cleaning mode prediction model according to the collected sample data;
s14, inputting sample data into a cleaning mode prediction model, and formulating three cleaning modes according to a prediction result output by the model;
s15, setting each threshold index in the cleaning mode, and establishing a perfect working mode.
Alternatively, the actuator establishes a cleaning pattern prediction model based on the collected sample data, comprising the steps of:
s131, the executor preliminarily performs data analysis on the collected sample data through a statistical index method, selects a data set taking the weight of the cleaning object as a dynamic index, and decomposes the data set into an operation set and a test set;
s132, analyzing the deviation distribution characteristics of the weight of the cleaning object during cleaning based on the operation set;
s133, constructing a cleaning mode prediction model by adopting a square root conversion normal function method, and verifying and analyzing the model prediction precision through a test set.
As an alternative implementation manner, the method for constructing the cleaning mode prediction model by adopting the square root conversion normal function method and verifying and analyzing the model prediction precision through the test set comprises the following steps:
s1331, performing square root conversion on the article weight data, and converting the article weight data into a normal distribution form;
s1332, establishing a prediction model of the cleaning mode by adopting a linear regression mode based on the article weight data after square root conversion;
s1333, training a prediction model through the operation set, and estimating and optimizing model parameters according to errors of the training set;
s1334, inputting the test set into the prediction model after training, and comparing the test set with the actual cleaning effect in the test set;
s1335, analyzing the prediction result, and checking the prediction accuracy of the model on different samples and different features.
As an alternative embodiment, the inputting the sample data into the cleaning mode prediction model and formulating three cleaning modes according to the prediction results output by the model includes the following steps:
s141, collecting all results output by the cleaning prediction model, and taking the minimum value of the cleaning weight as a target;
s142, decomposing the original result into a plurality of components, and selecting the components with smaller envelope entropy for result reconstruction;
s143, carrying out envelope demodulation operation on the reconstruction component, and extracting cleaning characteristics from an envelope spectrum of the reconstruction component;
s144, optimizing an optimal combination of the cleaning weight of the variable-frequency modal decomposition parameter and the ultrasonic frequency by utilizing an algorithm searching parameter;
and S145, formulating three groups of cleaning modes based on the optimal combination of the cleaning weight and the ultrasonic frequency.
As an alternative embodiment, the integrating and applying the set cleaning mode and threshold index with the controller of the ultrasonic cleaning device includes the steps of:
s21, collecting and integrating data in the cleaning mode and the threshold index by utilizing a virtual database technology, and converting heterogeneous data into homogeneous data;
s22, integrating control signals by collecting homogeneous data, and converting the control signals into control data based on a controller;
s23, establishing an ultrasonic cleaning device control protocol based on the control data, calculating integrated control frequency, inputting intelligent integrated control quantity, and completing automatic control of the ultrasonic cleaning device.
As an alternative embodiment, the step of integrating the control signal by collecting the homogenous data and converting the control signal into the control data based on the autonomous system includes the following steps:
s221, collecting integrated automatic control signals in advance, transmitting the signals to a controller through a communication network, analyzing and reporting the signals by the controller, and determining integrated control frequency and an integrated control section;
s222, minimizing the integrated control frequency, and removing impurities and reducing noise;
s223, synchronously converting the control signal and the homogeneous data, and connecting the control signal to the controller from the data server;
s224, converting the automatic control signals into integrated control data according to the data classification and storage mode based on the controller.
As an alternative implementation manner, the calculation formula for minimizing the integrated control frequency in the process of removing impurities and reducing noise is as follows:；
in the method, in the process of the application,Trepresenting the minimum value of the integrated control frequency,Dj represent the firstjThe control frequency of the individual control points is,mwhich is indicative of the control signal(s),jthe number of control points is indicated,Drepresenting the control frequency.
As an alternative embodiment, the establishing the control protocol of the ultrasonic cleaning device based on the control data, calculating the integrated control frequency, inputting the intelligent integrated control quantity, and completing the automatic control of the ultrasonic cleaning device includes the following steps:
s231, the communication network is applied after the control data are integrated, and the control times of the ultrasonic cleaning device are limited according to the protocol content in the action of synchronous automatic control;
s232, establishing an integrated control protocol as a control data transmission channel, giving a group of values of the control protocol, and automatically giving an original constant value of integrated control by using the values to calculate an integrated control frequency;
s233, inputting intelligent control quantity according to the calculated control frequency to obtain a transfer function of control data;
s234, after intelligent control quantity is input, intelligent control is integrated by utilizing an interface, and control data on each control point position is mapped;
s235, mapping control data by using variable data, and converting the control data into parameter control;
s236, inputting a specified control limit into the controller, automatically detecting the change of the control parameter through the system, and storing control data and control information by using the port state;
s237, inputting the control data and the control information into the corresponding mapping areas, and obtaining a correct control result through corresponding control semantic analysis in the area mapping, thereby completing the automatic control of the ultrasonic cleaning device.
In a second aspect, the present application provides a control system of an ultrasonic cleaning apparatus, comprising: the system comprises a construction module, an application module, an execution module and a monitoring module;
the construction module is used for constructing a cleaning mode taking the weight of the cleaning material as a parameter according to historical test data of the ultrasonic cleaning device, and setting each threshold index in the cleaning mode;
the application module is used for integrating and applying the set cleaning mode and threshold index with a controller of the ultrasonic cleaning device;
the execution module is used for placing the articles into the cleaning device and executing and selecting corresponding cleaning modes according to the judging conditions of the controller;
and the monitoring module is used for monitoring the cleaning mode and the threshold index in real time according to the actual situation and carrying out optimization adjustment on the cleaning mode and the threshold index.
One or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
1. according to the control method of the ultrasonic cleaning device, firstly, historical test data are collected, cleaning modes taking the weight of a cleaning object as parameters are formulated based on the weight, the cleaning time and the ultrasonic frequency data of the cleaning object in the historical data, and various indexes in the cleaning modes are set, so that the corresponding cleaning modes can be selected according to the actual weight of the ultrasonic cleaning device when the ultrasonic cleaning device is used, the intelligence of the ultrasonic cleaning device is improved, meanwhile, the cleaning modes and the cleaning device are integrated and fused, automatic control in the later period of specific application is conveniently realized, and the cleaning efficiency and the purpose are improved.
2. According to the application, a cleaning mode prediction model is obtained through historical data training, the relation between the material weight and the cleaning parameters is analyzed based on the model, the optimal cleaning parameter setting is found, the cleaning mode taking the cleaning material weight as a parameter is constructed through establishing the model, and all threshold indexes in the cleaning mode are set, so that the optimization of the optimal cleaning parameter setting, the automatic adjustment capability and the resource utilization can be realized.
3. After the cleaning mode, the threshold index and the controller of the cleaning device are integrated, the controller of the ultrasonic cleaning device can accurately control the cleaning parameters, automatic operation is achieved, the cleaning parameters can be timely adjusted through real-time monitoring, and the stability and consistency of the cleaning process are maintained.
Detailed Description
The application is further described below with reference to the drawings and examples.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular forms also are intended to include the plural forms, and furthermore, it is to be understood that the terms "comprises" and "comprising" and any variations thereof are intended to cover non-exclusive inclusions, such as, for example, processes, methods, systems, products or devices that comprise a series of steps or units, are not necessarily limited to those steps or units that are expressly listed, but may include other steps or units that are not expressly listed or inherent to such processes, methods, products or devices.
Embodiments of the application and features of the embodiments may be combined with each other without conflict.
Referring to fig. 1, the present application provides a control method of an ultrasonic cleaning device, the control method comprising the following steps:
s1, constructing a cleaning mode taking the weight of a cleaning material as a parameter according to historical test data of the ultrasonic cleaning device, and setting each threshold index in the cleaning mode.
In this embodiment, the step of constructing a cleaning mode using the weight of the cleaning material as a parameter according to the historical test data of the ultrasonic cleaning device, and setting each threshold indicator in the cleaning mode includes the following steps:
s11, the executor collects historical data of the ultrasonic cleaning device during testing through a sensor.
Specifically, the executor collects, through the sensor, historical data of the ultrasonic cleaning device during the test, and the specific historical data may include:
the working state of the cleaning device: including start time, stop time, run time, etc.
Operating parameters of the cleaning device: such as cleaning time, cleaning temperature, ultrasonic frequency, etc.
Cleaning effect evaluation: the cleaning effect of the cleaning device on the cleaned object, such as the surface cleanliness after cleaning, the amount of residual pollutants and the like, is evaluated through the measurement of the sensor.
By collecting and recording these historical data, data analysis and monitoring can be performed for optimizing the performance of the cleaning apparatus, predicting equipment failure, improving the cleaning process, quality control, fault diagnosis, and the like.
S12, screening data synthesis samples related to the weight of the cleaning object, ultrasonic frequency and cleaning time from the historical data through an actuator.
Specifically, the data related to the weight of the cleaning article, the ultrasonic frequency and the cleaning time can be screened out from the historical data through the executor and synthesized into a sample, and the method can be realized through the following steps:
data records relating to the weight of the items being cleaned, the ultrasonic frequency and the cleaning time are selected from the historical data.
The selected data records are combined into samples, each of which should include the cleaning article weight, ultrasonic frequency and cleaning time as input characteristics, as well as other relevant observations or indicators as output targets.
Labels or classifications are added to each sample as needed for use in supervising learning or other analysis tasks.
The synthesized samples are subjected to the necessary data processing and preprocessing steps, such as data normalization, feature selection, or other data conversion operations, to ensure the accuracy and applicability of the data.
S13, the executor establishes a cleaning mode prediction model according to the collected sample data.
Specifically, the actuator establishes a cleaning mode prediction model according to the collected sample data, and the method comprises the following steps:
s131, the executor preliminarily performs data analysis on the collected sample data through a statistical index method, selects a data set taking the weight of the cleaning object as a dynamic index, and decomposes the data set into an operation set and a test set;
s132, analyzing the deviation distribution characteristics of the weight of the cleaning object during cleaning based on the operation set;
s133, constructing a cleaning mode prediction model by adopting a square root conversion normal function method, and verifying and analyzing the model prediction precision through a test set.
The method for constructing the cleaning mode prediction model by adopting the square root conversion normal function method, and verifying and analyzing the model prediction precision by a test set comprises the following steps of:
s1331, performing square root conversion on the article weight data, and converting the article weight data into a normal distribution form;
s1332, establishing a prediction model of the cleaning mode by adopting a linear regression mode based on the article weight data after square root conversion;
s1333, training a prediction model through the operation set, and estimating and optimizing model parameters according to errors of the training set;
s1334, inputting the test set into the prediction model after training, and comparing the test set with the actual cleaning effect in the test set;
s1335, analyzing the prediction result, and checking the prediction accuracy of the model on different samples and different features.
S14, inputting the sample data into a cleaning mode prediction model, and formulating three cleaning modes according to a prediction result output by the model.
Specifically, the step of inputting the sample data into the cleaning mode prediction model and formulating three cleaning modes according to the prediction results output by the model comprises the following steps:
s141, collecting all results output by the cleaning prediction model, and taking the minimum value of the cleaning weight as a target;
s142, decomposing the original result into a plurality of components, and selecting the components with smaller envelope entropy for result reconstruction;
s143, carrying out envelope demodulation operation on the reconstruction component, and extracting cleaning characteristics from an envelope spectrum of the reconstruction component;
s144, optimizing an optimal combination of the cleaning weight of the variable-frequency modal decomposition parameter and the ultrasonic frequency by utilizing an algorithm searching parameter;
and S145, formulating three groups of cleaning modes based on the optimal combination of the cleaning weight and the ultrasonic frequency.
Wherein, three kinds of cleaning modes include:
if the weight of the cleaning articles isn<5kgA light cleaning mode is selected;
if the weight of the cleaning articles isn>10kgSelecting an intensity cleaning mode;
if the weight of the cleaning article is 5kg>n>10kgA standard cleaning mode is selected.
S15, setting each threshold index in the cleaning mode, and establishing a perfect working mode.
Specifically, establishing a complete cleaning mode requires setting for each threshold indicator in the cleaning mode, and may include the following steps:
the key indexes in the cleaning process are determined, wherein the indexes may comprise the weight of the cleaned objects, ultrasonic frequency, cleaning time, cleaning liquid concentration, cleaning temperature and the like, and the indexes closely related to the cleaning effect and performance are selected according to the requirements of specific applications.
For each key index, a corresponding threshold range is set according to actual requirements and experience. These thresholds may be minimum, maximum or range values.
Judging and comparing actual test data according to the set threshold range, and if the test value is within the set threshold range, continuing to execute corresponding cleaning action; if the test value is outside the threshold range, corresponding measures, such as adjusting the ultrasonic frequency, increasing the cleaning time, etc., may be required.
S2, integrating and applying the set cleaning mode and threshold index with a controller of the ultrasonic cleaning device.
In this embodiment, the integrating and applying the set cleaning mode and threshold index with the controller of the ultrasonic cleaning apparatus includes the steps of:
s21, collecting and integrating the data in the cleaning mode and the threshold index by utilizing a virtual database technology, and converting heterogeneous data into homogeneous data.
S22, integrating control signals by collecting homogeneous data, and converting the control signals into control data based on the controller.
Specifically, the step of integrating the control signal by collecting the homogeneous data and converting the control signal into the control data based on the automatic control system comprises the following steps:
s221, collecting integrated automatic control signals in advance, transmitting the signals to a controller through a communication network, analyzing and reporting the signals by the controller, and determining integrated control frequency and an integrated control section;
s222, minimizing the integrated control frequency, and removing impurities and reducing noise.
Specifically, the calculation formula for minimizing the integrated control frequency in the process of removing impurities and reducing noise is as follows:；
in the method, in the process of the application,Trepresenting the minimum value of the integrated control frequency,Dj represent the firstjThe control frequency of the individual control points is,mwhich is indicative of the control signal(s),jthe number of control points is indicated,Drepresenting the control frequency.
S223, synchronously converting the control signal and the homogeneous data, and connecting the control signal to the controller from the data server;
s224, converting the automatic control signals into integrated control data according to the data classification and storage mode based on the controller.
S23, establishing an ultrasonic cleaning device control protocol based on the control data, calculating integrated control frequency, inputting intelligent integrated control quantity, and completing automatic control of the ultrasonic cleaning device.
Specifically, the method for establishing the control protocol of the ultrasonic cleaning device based on the control data, calculating the integrated control frequency, inputting the intelligent integrated control quantity, and completing the automatic control of the ultrasonic cleaning device comprises the following steps:
s231, the communication network is applied after the control data are integrated, and the control times of the ultrasonic cleaning device are limited according to the protocol content in the action of synchronous automatic control;
s232, establishing an integrated control protocol as a control data transmission channel, giving a group of values of the control protocol, and automatically giving an original constant value of integrated control by using the values to calculate an integrated control frequency;
s233, inputting intelligent control quantity according to the calculated control frequency to obtain a transfer function of control data;
s234, after intelligent control quantity is input, intelligent control is integrated by utilizing an interface, and control data on each control point position is mapped;
s235, mapping control data by using variable data, and converting the control data into parameter control;
s236, inputting a specified control limit into the controller, automatically detecting the change of the control parameter through the system, and storing control data and control information by using the port state;
s237, inputting the control data and the control information into the corresponding mapping areas, and obtaining a correct control result through corresponding control semantic analysis in the area mapping, thereby completing the automatic control of the ultrasonic cleaning device.
S3, placing the articles into the cleaning device, and executing and selecting corresponding cleaning modes according to the judging conditions of the controller.
Specifically, placing the article into the cleaning device and selecting the corresponding cleaning mode according to the judgment condition of the controller may include the following implementation steps:
the use of sensors within the ultrasonic cleaning device to detect the presence of an article may include a photoelectric sensor, a weight sensor, or other suitable sensor to confirm whether the article has been placed within the cleaning device, the sensor outputting a weight data signal of the article for subsequent judgment.
And judging which type of cleaning mode the weight of the article specifically accords with according to the set cleaning mode and the threshold index. For example, if the controller detects that the weight of the item exceeds a preset range, a cleaning mode may be triggered; another cleaning mode may be triggered if an attribute of the item meets a certain condition.
According to the judging conditions of the controller, a corresponding cleaning mode is selected, which is realized through logic of the controller, and according to preset conditions and the set cleaning mode, proper cleaning parameters and operation steps are selected.
The controller sends corresponding instructions to the actuator and associated equipment to perform a particular cleaning mode, with the appropriate cleaning mode being selected based on the weight of the article. The executor can control the ultrasonic generator, the temperature controller and other parts to perform the cleaning operation according to the set parameters and steps.
By comparing the attributes of the articles with preset conditions and selecting a proper cleaning mode according to the judgment of the controller, the automatic control and optimization of the cleaning process can be realized. Therefore, the cleaning efficiency and consistency can be improved, and the most suitable cleaning mode can be selected according to the requirements of different articles.
And S4, monitoring the cleaning mode and the threshold index in real time according to actual conditions, and optimizing and adjusting the cleaning mode and the threshold index.
Specifically, the method for monitoring the cleaning mode and the threshold index in real time according to the actual situation and performing optimization adjustment on the cleaning mode and the threshold index can comprise the following steps:
key indicators in the cleaning process, such as cleaning time, ultrasonic frequency, etc., are monitored in real time by sensors, monitoring devices, or other suitable means, and these data are collected and recorded for subsequent analysis and adjustment.
The collected real-time data is analyzed using data analysis tools or algorithms to compare differences from a set threshold range to identify any trends or anomalies that deviate from the set range.
Parameters, threshold ranges, or other relevant settings of the cleaning mode are adjusted based on the results of the data analysis. For example, according to the temperature data analysis result, the setting of the cleaning temperature controller can be adjusted to improve the cleaning effect; or adjusting the frequency setting of the ultrasonic generator according to the ultrasonic frequency data analysis result.
After the optimization adjustment, the real-time monitoring and the data analysis are continuously carried out, and the setting of the cleaning mode and the threshold index is gradually optimized through the continuous iterative feedback process so as to achieve better cleaning effect and working efficiency.
Through real-time monitoring and optimization adjustment, the cleaning mode and the threshold index can be dynamically adjusted according to actual conditions, so that the stability and the optimization of the cleaning process are ensured. Therefore, the cleaning efficiency can be improved, the resource waste can be reduced, and the cleaning requirements of different articles can be met.
Referring to fig. 2, the present application further provides a control system of an ultrasonic cleaning device, the control system of the ultrasonic cleaning device includes: the system comprises a construction module 1, an application module 2, an execution module 3 and a monitoring module 4;
the construction module 1 is used for constructing a cleaning mode taking the weight of a cleaning material as a parameter according to historical test data of the ultrasonic cleaning device, and setting each threshold index in the cleaning mode;
the application module 2 is used for integrating and applying the set cleaning mode and threshold index with a controller of the ultrasonic cleaning device;
the execution module 3 is used for placing the articles into the cleaning device and executing and selecting corresponding cleaning modes according to the judging conditions of the controller;
and the monitoring module 4 is used for monitoring the cleaning mode and the threshold index in real time according to the actual situation and carrying out optimization adjustment on the cleaning mode and the threshold index.
In summary, by means of the above technical solution, the control method of an ultrasonic cleaning device according to the present application collects historical test data, formulates a cleaning mode using the weight of the cleaning object as a parameter based on the weight, the cleaning time and the ultrasonic frequency data of the cleaning object in the historical data, and sets various indexes in the cleaning mode, so that the ultrasonic cleaning device can select a corresponding cleaning mode according to the actual weight of the ultrasonic cleaning device when in use, thereby improving the intelligence of the ultrasonic cleaning device, and simultaneously integrating the cleaning mode and the cleaning device, so as to facilitate automatic control in the later stage when in specific application, and improve the cleaning efficiency and the purpose. According to the application, a cleaning mode prediction model is obtained through historical data training, the relation between the material weight and the cleaning parameters is analyzed based on the model, the optimal cleaning parameter setting is found, the cleaning mode taking the cleaning material weight as a parameter is constructed through establishing the model, and all threshold indexes in the cleaning mode are set, so that the optimization of the optimal cleaning parameter setting, the automatic adjustment capability and the resource utilization can be realized. After the cleaning mode, the threshold index and the controller of the cleaning device are integrated, the controller of the ultrasonic cleaning device can accurately control the cleaning parameters, automatic operation is achieved, the cleaning parameters can be timely adjusted through real-time monitoring, and the stability and consistency of the cleaning process are maintained.
Those of ordinary skill in the art will appreciate that the elements of the various examples described in connection with the present embodiments, i.e., the algorithm steps, can be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
While the foregoing description of the embodiments of the present application has been presented in conjunction with the drawings, it should be understood that it is not intended to limit the scope of the application, but rather, it is intended to cover all modifications or variations within the scope of the application as defined by the claims of the present application.