Detailed Description
The embodiment of the application solves the technical problems of poor distance monitoring accuracy, lower result precision and easiness in environmental influence existing in the existing distance monitoring technology by providing the distance monitoring method and system based on the light sensor.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present application based on the embodiments herein.
It should be noted that the terms "comprises" and "comprising," along with any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus, but may include other steps or modules not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
As shown in fig. 1, an embodiment of the present application provides a method for optical sensor-based distance monitoring, wherein the method includes:
the method comprises the steps of interactively monitoring a scene, acquiring characteristics of the monitored scene, and selecting and arranging sensors;
in the embodiment of the application, the monitoring scene is obtained through interaction, and the sensor is selected and arranged based on the monitoring scene characteristics, wherein the obtaining of the monitoring scene characteristics generally refers to the interaction in one monitoring scene through the environment, and the monitoring of each characteristic in a specific area and the environment by using the sensor equipment comprises the steps of determining the size, shape, motion state of a target object, wind speed, humidity, illumination intensity and the like of the environment; the selection of the sensor is based on a scene analysis result, for example, an infrared sensor can be selected for a scene with sufficient illumination, an ultrasonic sensor can be selected for an indoor scene with less influence of environmental factors, the cost is lower, the efficiency is higher, and the laser sensor is more suitable for scenes with more severe outdoor environment; the arrangement of the sensors means that the selected sensor equipment is arranged at a proper position so as to ensure that the sensor equipment effectively monitors a target object and acquires required information, and the optimal sensor equipment can be adjusted according to the monitoring requirements.
Further, as shown in fig. 2, the method further includes the steps of interactively monitoring the scene, acquiring characteristics of the monitored scene, and selecting and arranging the sensors:
the method comprises the steps of interactively monitoring a scene, and acquiring the characteristics of the monitored scene through scene characteristic analysis, wherein the characteristics of the monitored scene comprise scene size, monitored objects, environmental conditions and monitoring requirements;
based on the monitoring scene characteristics, acquiring sensor type selection information and sensor layout information, and constructing a sensor configuration scheme;
according to the sensor configuration scheme, the sensor is installed and arranged to form a sensor module;
and establishing connection with the sensor module, calibrating the sensor, and finishing sensor layout.
Preferably, the method comprises the steps of interactively monitoring a scene, and obtaining the characteristics of the monitored scene through scene characteristic analysis, wherein the characteristics of the monitored scene comprise the size of the scene, monitored objects, environmental conditions, monitoring requirements, and the like, then based on the characteristics of the monitored scene, obtaining the type selection information of a sensor and the layout information of the sensor, constructing a sensor configuration scheme, then carrying out installation setting of the sensor according to the sensor configuration scheme to form a sensor module, finally establishing connection with the sensor module, carrying out sensor calibration, and finally completing layout of the sensor, wherein the monitored objects in the characteristics of the monitored scene are target objects to be monitored, such as personnel, animals, vehicles, production equipment and the like, and the monitoring requirements are the monitoring requirements for specific targets, possibly related to environmental factors and the like, and comprise real-time monitoring of timely obtaining latest data while generating data, and timely adjusting the time interval of traffic signal lamps while actually collecting traffic flow data; triggering monitoring of monitoring is carried out when preset specific conditions are met, for example, a fire alarm system monitors a flame triggering alarm device through a detector to sound an alarm; the application program of the system is monitored regularly, so that periodic monitoring of stable performance of the system is ensured; threshold monitoring to trigger an alarm when a certain indicator exceeds or falls below a set threshold, etc.
Preferably, the step of obtaining the type selection information of the sensor refers to selecting a distance sensor with proper resolution, ranging accuracy, ranging distance, anti-interference property and protection level (including dust and water resistance) according to the size of an application scene, monitoring requirements and the like, and the distance sensor comprises an infrared sensor, an ultrasonic sensor, a laser sensor or a ToF (time of flight) sensor and the like, which respectively have different ranging accuracy and working range, for example, the measuring distance of the infrared sensor is shorter, generally within 50 meters, and is greatly interfered by the environment and lower in accuracy; the laser sensor has higher measurement precision, can reach the level of submillimeter or even submicron, is suitable for long-distance range, and can generally cover hundreds of meters to thousands of meters; the detection range of the ultrasonic sensor depends on the wavelength and the frequency used by the ultrasonic sensor, the longer the wavelength is, the smaller the frequency is, the larger the detection distance is, and the ultrasonic sensor is suitable for a scene with limited indoor space; toF sensors measure distance using the time that light or emitted sound "flies" onto an object and reflects, so typically the measurement distance and range are small and subject to environmental influences.
Preferably, the obtained sensor layout information generally refers to information about the positions, the number, the direction angles and the deployment modes of the sensors, for example, the specific positions including the heights, the directions and the angles where the laser sensors are placed, so as to ensure that the distance measurement of the target object is effectively performed, and when a plurality of sensors are matched for use, the laser sensors should be reasonably and uniformly distributed so as to ensure the effectiveness of the coverage area. The construction of the sensor configuration scheme refers to selecting a proper sensor combination according to an actual application scene, and the sensor configuration scheme mainly comprises the following aspects in consideration of actual requirements and targets: knowing the application scene and the requirement, for example, an environment monitoring system needs to measure parameters such as temperature, air pressure and the like, an intelligent traffic system needs to measure vehicle speed, road conditions and the like, and a distance monitoring system needs to estimate the distance, the size and the like of a target object; according to application requirements or targets, selecting proper sensors with different precision, for example, selecting an infrared sensor for scenes with shorter distance and less high precision requirement, and selecting a laser sensor for scenes with longer distance and certain precision requirement; according to scene layout information of the sensors, the sensors are reasonably arranged, for example, when a plurality of sensors work cooperatively, the mutual influence among the sensors is considered, and shielding or interference and the like are avoided. Based on the above requirements and targets, the sensor is installed, a sensor module is formed, connection with the sensor module is established, sensor calibration is performed, and finally sensor arrangement is completed, wherein the sensor module refers to a modularized component integrated with a sensor element, the sensor module integrates the sensor element with other processing units, the sensor module can be conveniently applied to distance monitoring equipment and systems, intelligent selection of configuration sensors and schemes according to scene requirements is realized, and further the technical effects of improving distance monitoring accuracy and result precision and enabling environmental influence to be smaller are achieved.
Further, a connection with the sensor module is established to perform sensor calibration, and the method comprises the following steps:
selecting a connection port, a connection interface and a connection protocol based on the type selection information of the sensor module, and generating a data connection path;
generating a power supply connection scheme based on the monitoring scene features and the sensor configuration scheme;
and establishing connection of the sensor module according to the data connection path and the power supply connection scheme.
Preferably, firstly, based on the model selection information of the sensor module, a connection port, a connection interface and a connection protocol are selected to generate a data connection path, then, based on the monitoring scene characteristics and the sensor configuration scheme, a power supply connection scheme is generated, wherein the data connection path refers to a path channel for effective data information communication which is established by selecting and configuring a proper connection port, connection interface and connection protocol in the data information transmission process, so as to ensure reliable transmission of measured data information between different devices, the connection port is an access port for data information transmission and the connection interface is an interface for data transmission communication between different devices, the connection protocol specifies a mode and a specification for data information transmission, and the power supply connection scheme refers to a scheme for power supply required by a sensor which is designed and planned according to the monitoring scene characteristics and the sensor configuration scheme, and comprises determining the source of a power supply of a sensor system, such as a power supply grid, a solar battery or a battery pack, and the like; the arrangement of electrical wires, such as the wiring between the sensor devices or with the power supply, including length, gauge, water and fire resistance, etc.; management measures, such as ensuring high power utilization, prolonging battery life, reducing energy consumption, setting up standby power supply, etc. of the sensor system, and finally establishing connection of the sensor module according to the data connection path and the power supply connection scheme.
Further, a connection with the sensor module is established to perform sensor calibration, and the method further comprises:
initializing a correction scene and acquiring characteristics of the correction scene;
activating the sensor module to perform distance measurement based on the correction scene to obtain primary sensing data, wherein the primary sensing data comprises primary distance data and primary direction angle data;
extracting set distance data and set direction angle data in the corrected scene characteristics, and performing deviation calculation of the original sensing data;
and adjusting the internal parameters of the sensor module to calibrate based on the deviation calculation result.
Preferably, the calibration scene is initialized, the calibration scene features are obtained, then based on the calibration scene, the sensor module is activated to perform distance measurement, and the primary sensing data are obtained, wherein the primary sensing data comprise primary distance data and primary direction data, the initialization calibration scene is used for obtaining the calibration scene features, namely selecting a calibration site, installing a sensor, monitoring a required target and setting measured distance range and direction angle data, the primary sensing data is used for obtaining information data by using the sensor module to perform distance measurement based on the calibration scene, the information data comprises a distance tree from the sensor module to a target object and a direction angle of the target object relative to the sensor module, and the direction angle data are usually represented by direction angle values, for example, and finally, adjusting internal parameters of the sensor module based on a deviation calculation result, wherein the internal parameters of the sensor module are adjusted to calibrate each parameter according to the description provided by a sensor manufacturer, such as distance measurement precision, detection angle, working frequency, resolution and the like of a sensor.
Setting sensor acquisition parameters based on the monitoring scene characteristics;
acquiring optical signal data between the sensor and a target object according to the acquisition parameters of the sensor, and generating an optical signal data set;
preprocessing the optical signal data set to obtain a recovery signal data set;
preferably, the sensor acquisition parameters are set firstly based on the monitoring scene characteristics, then the optical signal data between the sensor acquisition parameters and the target object are acquired according to the sensor acquisition parameters to generate an optical signal data set, finally the optical signal data set is preprocessed to obtain a recovery signal data set, wherein the sensor acquisition parameters refer to the monitoring acquisition parameters based on the monitoring scene characteristics, the set sensor-related distance monitoring acquisition parameters may include, for example, scene humidity, illumination intensity, current magnitude, resolution, ranging accuracy, direction angle and the like of the sensor, the optical signal data refer to various optical signal information, such as spectrum data or reflectivity and the like, between the acquired sensor and the target object are acquired according to the sensor acquisition parameters, the optical signal data set is generated, the preprocessing of the optical signal data set refers to further analysis and extraction of data information, for example, the preprocessing step may include denoising processing, filtering to remove high-frequency or low-frequency, normalization, frequency or phase and other characteristics, and the recovery signal data set refers to new signal acquired after preprocessing of the optical signal data.
And analyzing the recovery signal data set, and performing distance calculation to obtain a distance monitoring result.
Preferably, the distance calculation is performed by analyzing the recovered signal data set, and finally a distance monitoring result is obtained, where a distance measurement principle of the laser sensor for performing distance calculation may include laser triangulation ranging, laser phase ranging or laser pulse ranging, and the following description is given of the distance calculation obtaining monitoring result by using laser triangulation ranging as an example, where the internal structure of the whole sensor module includes a convex lens, an optical filter, a sensor element, a laser emitter, a power supply, and the like, and laser emitted by the laser emitter is focused on the surface of the sensor element after being diffusely reflected by a target object, after passing through the convex lens and the optical filter, according to a transverse photoelectric effect, it is known that:
wherein I isA And IB The current across the sensor element A, B, respectively; l is half of the length of the photosensitive surface of the sensor element; x is the distance from the center of the light spot to the center of the photosensitive surface, and is obtained according to a similar triangle:
wherein f is the focal length of the convex lens; h is the distance from the convex lens to the laser emitter; and D is the distance between the target object and the sensor, so that the distance between the target object and the sensor can be calculated, and the distance monitoring result is obtained.
Further, the method further comprises:
based on a visual technical principle, performing visual conversion on the distance monitoring result to acquire a visual data set;
connecting the user main body interaction terminal to carry out encryption transmission of the visual data set;
and carrying out data verification on the received visual data set, decoding the visual data set if the data verification result passes, and visually presenting the visual data set.
Preferably, the visual conversion is performed on the distance monitoring result based on the visual technology principle, a visual data set is obtained, then a user main body interaction terminal is connected to perform encryption transmission of the visual data set, wherein the visual technology principle refers to the principle that information data is presented in a visual mode, and mainly comprises data representation and mapping, the data representation is that data signals are converted into visual elements, such as graphs, charts and the like, the data mapping is that data attributes are mapped onto the visual elements, such as mapping the value size of the data on the height of a histogram, so that data can be understood and analyzed more intuitively, the visual data set is the result set after the visual conversion of the distance monitoring result, the user main body interaction terminal refers to an interface terminal interacted by a user and a computer system, and comprises various devices and platforms, such as a user interface of a computer, an application program interface comprising a mobile phone, a flat plate and the like, the encryption transmission of the visual data set refers to the data set is that the data transmission is encrypted in the data transmission process, such as taking a special-purpose of a private key, the data is encrypted transmission, such as taking a private key between the data is encrypted data, the data is encrypted by a security protection method, and a communication method is not established between the two ends through a communication network, and a communication network is ensured by means, and a communication network is capable of establishing a security-based on a certain encryption and a security-based on a communication protocol, and a communication protocol is used between the encryption data and a communication between the two ends and an encryption node and a data is encrypted.
Preferably, the received visual data set is subjected to data verification, if the data verification result passes, the data verification refers to verification of the transmitted encrypted visual data set, so as to ensure that the received data accords with the expected decoding, for example, the data verification may include verification of whether the format of the data is correct, whether the range of the distance monitoring result is reasonable, the integrity of the data set, and the like, and if the data verification result does not have a problem, the encrypted visual data set is decoded, and finally the visual presentation is performed.
Further, as shown in fig. 3, the method further includes:
acquiring a distance monitoring feedback mechanism based on the monitoring scene characteristics;
analyzing the monitoring feedback mechanism and constructing a judgment matrix;
according to the judgment matrix, carrying out abnormal recognition on the distance monitoring result, and generating a warning instruction when the monitored distance exceeds a preset range or is abnormal;
and the warning instruction triggers a warning scheme to perform abnormal feedback.
Preferably, firstly, a distance monitoring feedback mechanism is obtained based on the characteristics of the monitoring scene, then the monitoring feedback mechanism is analyzed, a judging matrix is constructed, then, according to the judging matrix, abnormal recognition of the distance monitoring result is carried out, when the monitored distance exceeds a preset range or an abnormality occurs, a warning instruction is generated, finally, the warning instruction triggers a warning scheme, and finally, abnormal feedback is carried out, wherein the distance monitoring feedback mechanism refers to a mode of feeding back or controlling the distance monitoring result when the sensor device is used for measuring the distance between a target object and the sensor device, for example, in a certain monitoring scene, the reasonable range of the distance monitoring result is 5-10 meters, but the actually obtained distance monitoring result is 50 meters, at the moment, feedback is needed to be carried out instead of continuous analysis or application of the abnormal result, the construction judging matrix is the main idea of a hierarchical analysis method, the distance monitoring result is compared with each other by adopting a relative scale, namely, whether the distance monitoring result is still in the reasonable range or not is compared for a plurality of times, if the distance monitoring result is found to be in the reasonable range, after the judging matrix is constructed, for carrying out recognition on the distance monitoring result, if the abnormal monitoring result is found, the abnormal range is corresponding to the distance monitoring result is generated, and the warning result is further, if the abnormal command is generated, and the abnormal result is triggered.
Further, the method also comprises the following steps:
storing the distance monitoring result and constructing a monitoring result database;
acquiring a right management rule and constructing an access control mechanism;
and according to the access control mechanism, privacy protection of the monitoring result database is realized.
Preferably, a monitoring result database is constructed by storing the distance monitoring result, and then a permission management rule is obtained, so as to construct a corresponding access control mechanism, wherein the monitoring result database is a structured data set for storing the distance monitoring result, and can also manage, search and the like, and possibly contain various monitoring results, such as data acquired by a sensor, abnormal occurrence, scene characteristics and other information, the permission management rule refers to management rules of different permissions required when accessing different data information, for example, a mechanism for verifying user identity and authorization is set, a common user can only access and view data, and a manager can access and operate the data, different access time limits are set for different data information, so that the user can only access within a specified time limit, and the preset permission management rules form the access control mechanism, finally, the privacy protection of the distance monitoring result database is realized according to the access control mechanism, and the security of the monitoring result data is further ensured.
In summary, the embodiments of the present application have at least the following technical effects:
according to the method, the monitoring scene is interactively monitored, the characteristics of the monitoring scene are obtained, and the sensor is selected and laid; setting sensor acquisition parameters based on the monitoring scene characteristics; collecting optical signal data between the optical sensor and a target object according to the acquisition parameters of the optical sensor, and generating an optical signal data set; preprocessing the optical signal data set to obtain a recovery signal data set; and analyzing the recovery signal data set, and performing distance calculation to obtain a distance monitoring result. The invention solves the technical problems of poor distance monitoring accuracy, lower result accuracy and environmental influence in the existing distance monitoring technology, and further achieves the technical effects of higher distance monitoring accuracy, improved result accuracy and less environmental influence.
Example two
Based on the same inventive concept as the optical sensor-based distance monitoring method in the foregoing embodiments, as shown in fig. 4, the present application provides an optical sensor-based distance monitoring system, and the system and method embodiments in the embodiments of the present application are based on the same inventive concept. Wherein the system comprises:
the sensor selection and layout module 100, wherein the sensor selection and layout module 100 is used for interactively monitoring a scene, acquiring the characteristics of the monitored scene and selecting and layout the sensor;
the sensor acquisition parameter setting module 200 is used for setting the sensor acquisition parameters based on the characteristics of the monitored scene by the sensor acquisition parameter setting module 200;
the optical signal data set obtaining module 300 is configured to collect optical signal data between the optical signal data obtaining module 300 and the target object according to the sensor collection parameter, and generate an optical signal data set;
the recovery signal data set obtaining module 400 is configured to perform preprocessing on the optical signal data set to obtain a recovery signal data set by the recovery signal data set obtaining module 400;
the distance monitoring result obtaining module 500 is configured to analyze the recovery signal data set, perform distance calculation, and obtain a distance monitoring result.
Further, the sensor selection and arrangement module 100 is further configured to perform the following method:
the method comprises the steps of interactively monitoring a scene, and acquiring the characteristics of the monitored scene through scene characteristic analysis, wherein the characteristics of the monitored scene comprise scene size, monitored objects, environmental conditions and monitoring requirements;
based on the monitoring scene characteristics, acquiring sensor type selection information and sensor layout information, and constructing a sensor configuration scheme;
according to the sensor configuration scheme, the sensor is installed and arranged to form a sensor module;
and establishing connection with the sensor module, calibrating the sensor, and finishing sensor layout.
Further, the sensor selection and arrangement module 100 is further configured to perform the following method:
selecting a connection port, a connection interface and a connection protocol based on the type selection information of the sensor module, and generating a data connection path;
generating a power supply connection scheme based on the monitoring scene features and the sensor configuration scheme;
and establishing connection of the sensor module according to the data connection path and the power supply connection scheme.
Further, the sensor selection and arrangement module 100 is further configured to perform the following method:
initializing a correction scene and acquiring characteristics of the correction scene;
activating the sensor module to perform distance measurement in the correction scene to obtain primary sensing data, wherein the primary sensing data comprises primary distance data and primary direction angle data;
extracting set distance data and set direction angle data in the corrected scene characteristics, and performing deviation calculation of the original sensing data;
and adjusting the internal parameters of the sensor module to calibrate based on the deviation calculation result.
Further, the sensor acquisition parameter setting module 200 is configured to perform the following method:
setting sensor acquisition parameters based on the monitoring scene characteristics;
further, the optical signal data set obtaining module 300 is further configured to perform the following method:
based on a visual technical principle, performing visual conversion on the distance monitoring result to acquire a visual data set;
connecting the user main body interaction terminal to carry out encryption transmission of the visual data set;
and carrying out data verification on the received visual data set, decoding the visual data set if the data verification result passes, and visually presenting the visual data set.
Further, the recovery signal data set obtaining module 400 is further configured to perform the following method:
based on a visual technical principle, performing visual conversion on the distance monitoring result to acquire a visual data set;
connecting the user main body interaction terminal to carry out encryption transmission of the visual data set;
and carrying out data verification on the received visual data set, decoding the visual data set if the data verification result passes, and visually presenting the visual data set.
Further, the distance monitoring result obtaining module 500 is further configured to perform the following method:
acquiring a distance monitoring feedback mechanism based on the monitoring scene characteristics;
analyzing the monitoring feedback mechanism and constructing a judgment matrix;
according to the judgment matrix, carrying out abnormal recognition on the distance monitoring result, and generating a warning instruction when the monitored distance exceeds a preset range or is abnormal;
and the warning instruction triggers a warning scheme to perform abnormal feedback.
Further, the distance monitoring result obtaining module 500 is further configured to perform the following method:
storing the distance monitoring result and constructing a monitoring result database;
acquiring a right management rule and constructing an access control mechanism;
and according to the access control mechanism, privacy protection of the monitoring result database is realized.
The modules included in the embodiment are divided according to the functional logic, but are not limited to the above-mentioned division, so long as the corresponding functions can be realized; in addition, the specific names of the functional modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present invention.
Example III
Fig. 5 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention, and shows a block diagram of an exemplary electronic device suitable for implementing an embodiment of the present invention. The electronic device shown in fig. 5 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention. As shown in fig. 5, the electronic device comprises an input means 11, a memory 12, a processor 13, and an output means 14; the number of input devices in the electronic device may be one or more, in this embodiment, one light sensor is used alone or several light sensors are used in combination, and in fig. 5, a central processing unit 13 is taken as an example, and the input device 11, the memory 12, the processor 13 and the output device 14 in the electronic device may be connected by a bus or other manners.
The memory 12 is used as a computer readable storage medium for storing data, computer executable programs and modules, such as acquisition data of the sensor and result data of distance monitoring in the embodiment of the present invention, including selection and layout information of the sensor, feature data of a monitored scene, monitoring result data, and the like. The processor 13 executes the computer program stored in the memory 12 to perform functions of the computer device and data processing, for example, the monitor data in the embodiment of the present invention is visualized, and then the visualized data set is encrypted and decrypted to obtain a distance monitoring result, so as to implement the distance monitoring based on the optical sensor.
It should be noted that the sequence of the embodiments of the present application is merely for description, and does not represent the advantages and disadvantages of the embodiments. And the foregoing description has been directed to specific embodiments of this specification. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The foregoing description of the preferred embodiments of the present application is not intended to limit the invention to the particular embodiments of the present application, but to limit the scope of the invention to the particular embodiments of the present application.
The specification and drawings are merely exemplary of the application and are to be regarded as covering any and all modifications, variations, combinations, or equivalents that are within the scope of the application. It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and the equivalents thereof, the present application is intended to cover such modifications and variations.