Fault diagnosis method for electric actuator

Abstract

The invention discloses an electric actuator fault diagnosis method, and relates to the technical field of electric actuator fault diagnosis, and the method comprises actuator testing, diagnosis personnel screening, diagnosis personnel operation monitoring, diagnosis result verification and early warning prompting. The method comprises the following steps: firstly, screening out each maintainer of each abnormal electric actuator, secondly, analyzing to obtain a maintenance mode of each maintainer corresponding to each abnormal electric actuator, and finally, carrying out in-depth manual professional monitoring on each abnormal electric actuator. And the accuracy of the diagnosis result of each abnormal electric actuator corresponding to each maintainer is verified, so that comprehensive electric actuator fault monitoring is executed on the corresponding conveyor belt in the factory, the corresponding normal operation of the conveyor belt is ensured, and the conveying risk caused by sudden faults of the electric actuator is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of electric actuator fault diagnosis, and in particular to a fault diagnosis method for an electric actuator. Background Art

[0002] With the continuous expansion of the industrial industry, the application of electric actuators has become more and more extensive, and it is necessary to perform corresponding monitoring on the electric actuators corresponding to industrial equipment, so as to achieve accurate diagnosis of the status of the electric actuators and timely and effectively prevent the failure of the electric actuators corresponding to the conveyor belt. Through preliminary testing of the conveyor belt, the status of the electric actuator corresponding to the current conveyor belt can be quickly understood, and then in-depth professional manual monitoring can be performed to ensure the safe operation of the electric actuator and improve the transportation efficiency of the conveyor belt.

[0003] Prior art, such as the invention patent application with announcement number CN114154254A, discloses a method for fault diagnosis of an electric actuator of a gas turbine, including step 1: standardizing and preprocessing the collected flow signal samples; step 2: identifying the working conditions and preliminarily clustering the data set in step 1, and then training the function model of the Gaussian probability density; step 3: constructing a self-learning network model, training the self-learning network model, extracting the data features of the flow signal samples and saving the network weights of the self-learning network model; step 4: constructing a state classification and identification network model of the electric actuator, and loading the network weight parameters; step 5: fine-tuning the network weights of the GMM-1DCNN of the electric actuator. The present invention has strong advantages in diagnostic accuracy and diagnostic efficiency, and avoids the drawbacks of large data processing workload and difficulty in extracting effective features caused by direct data processing.

[0004] In response to the above scheme, the applicant of the present invention found that the above technical problems have at least the following technical problems: the above invention mainly avoids the disadvantages brought by direct data processing, does not perform preliminary tests on the conveyor belt, cannot quickly understand the status of the electric actuator corresponding to the current conveyor belt, and reduces the fault monitoring efficiency. At the same time, it also does not perform in-depth manual professional inspections on each abnormal electric actuator, and cannot screen out the maintenance personnel corresponding to the inspection of each abnormal electric actuator, and cannot implement corresponding monitoring when each maintenance personnel performs inspections on each abnormal electric actuator, and cannot obtain the diagnostic result coefficient of each maintenance personnel corresponding to the inspection of each abnormal electric actuator, and cannot verify the accuracy of the diagnostic results of each maintenance personnel corresponding to each abnormal electric actuator, which reduces the efficiency of electric actuator fault diagnosis, cannot achieve timely and efficient electric actuator failure risk prevention, and reduces the stability and safety of conveyor belt transportation. Summary of the invention

[0005] In view of the above-mentioned technical deficiencies, an object of the present invention is to provide a fault diagnosis method for an electric actuator.

[0006] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides a fault diagnosis method for an electric actuator, comprising: Step 1, actuator test: By setting various speed test groups, and then performing a conveyor belt speed transmission test in the factory, the transmission information corresponding to each speed test group in the factory is collected, and the electric actuator status of the conveyor belt corresponding to each speed test group is determined.

[0007] Step 2: Screening of diagnostic personnel: When the electric actuator of a conveyor belt corresponding to a speed test group is in an abnormal state, perform in-depth manual professional inspection on each abnormal electric actuator to screen out the maintenance personnel corresponding to each abnormal electric actuator.

[0008] Step 3: Diagnostic personnel operation monitoring: obtain the operation information and diagnostic data of each maintenance personnel corresponding to the detection of each abnormal electric actuator, and then analyze to obtain the diagnostic result coefficient of each maintenance personnel corresponding to the detection of each abnormal electric actuator, and analyze to obtain the maintenance method of each maintenance personnel corresponding to each abnormal electric actuator.

[0009] Step 4: Verify the diagnostic results: Based on the maintenance methods of each maintenance personnel corresponding to each abnormal electric actuator, verify the accuracy of the diagnostic results of each maintenance personnel corresponding to each abnormal electric actuator.

[0010] Step 5: Early warning: When the electric actuator of a conveyor belt corresponding to a speed test group is in an abnormal state or the diagnosis result of a maintenance personnel corresponding to an abnormal electric actuator is inaccurate, an early warning is issued.

[0011] Preferably, the transmission information corresponding to each speed test group in the factory is collected, and the specific collection process is as follows: R1. The historical transmission speed positioning interval corresponding to the conveyor belt stored in the database is used as the reference value of the conveyor belt speed transmission position, and each speed test group is set according to the preset speed difference, and each monitoring time period is set during the conveyor belt speed transmission test, and then each speed transmission test corresponding to the test conveyor belt is started.

[0012] R2. Increase the speed in sequence according to the preset speed difference, and install a camera above the test conveyor belt corresponding to each speed test group, and at the same time install a sensor on the conveyor belt corresponding to the test of each speed test group, monitor the conveyor belt image of each speed test group in each monitoring time period, and obtain the conveyor belt transmission information corresponding to each speed test group from the conveyor belt image and the sensor, wherein the transmission information includes the cargo stop position distance, the electric actuator motor temperature and the chain clamping distance. When the test conveyor belt corresponding to each speed test group deviates from the cargo delivery position or automatically stops, record the test speed value corresponding to the test conveyor belt of each speed test group in the current monitoring time period, and stop the conveyor belt speed test.

[0013] Preferably, the judgment obtains the state of the electric actuator of the conveyor belt corresponding to each speed test group, and the specific judgment process is as follows: according to the conveyor belt transmission information collected corresponding to each speed test group, wherein the transmission information includes the distance of the cargo stop position, the temperature of the electric actuator motor and the chain clamping distance, and then selects the corresponding machine learning model, and inputs the conveyor belt transmission information collected corresponding to each speed test group into the machine learning model, and analyzes to obtain the transportation evaluation coefficient of the conveyor belt corresponding to each speed test group. When the output result of the transportation evaluation coefficient of the conveyor belt corresponding to a certain speed test group is 0, it is determined that the state of the electric actuator of the conveyor belt corresponding to the speed test group is abnormal, and the electric actuator is recorded as an abnormal electric actuator, and each abnormal electric actuator is obtained, and in-depth manual inspection is performed. When the output result of the transportation evaluation coefficient of the conveyor belt corresponding to a certain speed test group is 1, it is determined that the state of the electric actuator of the conveyor belt corresponding to the speed test group is normal, and the state of the electric actuator of the conveyor belt corresponding to each speed test group is obtained by judgment.

[0014] Preferably, the analysis obtains the diagnostic result coefficient of each maintenance personnel corresponding to each abnormal electric actuator detected, and the specific analysis process is as follows: by calculating the formula: , the analysis yields the Each maintenance personnel is responsible for testing The diagnostic result coefficient of abnormal electric actuator , is the number of each maintenance personnel, , is any integer greater than 2, is the number of each abnormal electric actuator, , is any integer greater than 2, is the reference fault type set, is the set reference fault level, For the Each maintenance personnel is responsible for testing Abnormal electric actuator fault type, For the Each maintenance personnel is responsible for testing The fault level of an abnormal electric actuator, For the Each maintenance personnel is responsible for testing The diagnostic influencing factors of abnormal electric actuators are: , are the weight factors of the set fault type and fault level, respectively. , .

[0015] Preferably, the accuracy of the diagnosis results of each abnormal electric actuator corresponding to each maintenance personnel is specifically verified by the following process: comparing the maintenance method of each maintenance personnel corresponding to each abnormal electric actuator with the historical maintenance method set corresponding to each conveyor belt electric actuator fault type stored in the database; if the maintenance method of a certain maintenance personnel corresponding to a certain abnormal electric actuator is not in the historical maintenance method set corresponding to a certain conveyor belt electric actuator fault type stored in the database, then it is determined that the fault diagnosis result of the abnormal electric actuator by the maintenance personnel is inaccurate, and re-testing is performed; if the maintenance method of a certain maintenance personnel corresponding to a certain abnormal electric actuator is in the historical maintenance method set corresponding to a certain conveyor belt electric actuator fault type stored in the database, then it is determined that the fault diagnosis result of the abnormal electric actuator by the maintenance personnel is accurate, thereby verifying the accuracy of the diagnosis results of each maintenance personnel corresponding to each abnormal electric actuator.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention provides a fault diagnosis method for an electric actuator, which performs a preliminary transportation test on the conveyor belt in the factory, and then understands the status of the electric actuator corresponding to the conveyor belt, so as to perform in-depth manual professional monitoring on each abnormal electric actuator, firstly screens out each maintenance personnel of each abnormal electric actuator, and then analyzes and obtains the maintenance method corresponding to each abnormal electric actuator by each maintenance personnel, and verifies the accuracy of the diagnosis result of each maintenance personnel corresponding to each abnormal electric actuator, so as to realize comprehensive electric actuator fault monitoring of the corresponding conveyor belt in the factory, ensure the normal operation of the corresponding conveyor belt, and realize in-depth and accurate detection of the electric actuator fault corresponding to the conveyor belt, solve the shortcomings existing in the current technology, timely discover and repair potential conveyor belt electric actuator fault problems, thereby improving the efficient transportation of the conveyor belt and the service life of the electric actuator, reducing the maintenance cost caused by the sudden failure of the electric actuator, avoiding the production loss caused by the downtime caused by the failure of the conveyor belt electric actuator, and improving the corresponding transportation efficiency of the factory. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 The present invention is a schematic flow chart of the steps for implementing the method. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] See also Figure 1 As shown, a fault diagnosis method for an electric actuator includes: step one, actuator test: by setting various speed test groups, and then performing conveyor belt speed transmission test in the factory, thereby collecting transmission information corresponding to each speed test group in the factory, and determining the electric actuator status of the conveyor belt corresponding to each speed test group.

[0021] It should be noted that a camera is installed above the test conveyor belt corresponding to each speed test group to collect the conveyor belt image of the test conveyor belt corresponding to each speed test group, and the cargo stop position distance and chain clamping distance of the test conveyor belt corresponding to each speed test group are extracted from the conveyor belt image, and the temperature sensor is used to obtain the electric actuator motor temperature of the test conveyor belt corresponding to each speed test group.

[0022] As an optional implementation, the transmission information corresponding to each speed test group in the factory is collected, and the specific collection process is as follows: R1, the historical transmission speed positioning interval corresponding to the conveyor belt stored in the database is used as the reference value of the conveyor belt speed transmission position, and each speed test group is set according to the preset speed difference, and each monitoring time period is set during the conveyor belt speed transmission test, and then each speed transmission test corresponding to the test conveyor belt is started; R2. Increase the speed in sequence according to the preset speed difference, and install a camera above the test conveyor belt corresponding to each speed test group, and at the same time install a sensor on the conveyor belt corresponding to the test of each speed test group, monitor the conveyor belt image of each speed test group in each monitoring time period, and obtain the conveyor belt transmission information corresponding to each speed test group from the conveyor belt image and the sensor, wherein the transmission information includes the cargo stop position distance, the electric actuator motor temperature and the chain clamping distance. When the test conveyor belt corresponding to each speed test group deviates from the cargo delivery position or automatically stops, record the test speed value corresponding to the test conveyor belt of each speed test group in the current monitoring time period, and stop the conveyor belt speed test.

[0023] As an optional implementation, the judgment obtains the state of the electric actuator of the conveyor belt corresponding to each speed test group, and the specific judgment process is as follows: according to the conveyor belt transmission information collected corresponding to each speed test group, wherein the transmission information includes the distance of the cargo stop position, the temperature of the electric actuator motor and the chain clamping distance, and then selects the corresponding machine learning model, and inputs the conveyor belt transmission information collected corresponding to each speed test group into the machine learning model, and analyzes to obtain the transportation evaluation coefficient of the conveyor belt corresponding to each speed test group. When the output result of the conveyor belt transportation evaluation coefficient corresponding to a certain speed test group is 0, it is determined that the state of the electric actuator of the conveyor belt corresponding to the speed test group is abnormal, and the electric actuator is recorded as an abnormal electric actuator, and each abnormal electric actuator is obtained, and in-depth manual inspection is performed. When the output result of the conveyor belt transportation evaluation coefficient corresponding to a certain speed test group is 1, it is determined that the state of the electric actuator of the conveyor belt corresponding to the speed test group is normal, and the state of the electric actuator of the conveyor belt corresponding to each speed test group is obtained by judgment.

[0024] As an optional implementation, the analysis obtains the transport evaluation coefficient of the conveyor belt corresponding to each speed test group. The specific analysis process is as follows: by calculating the formula: , the analysis yields the The transport evaluation coefficient of the conveyor belt corresponding to the speed test group , is the number of each speed test group, , is any integer greater than 2, For the The speed test group corresponds to the distance between the goods on the conveyor belt and the stop position. For the The temperature of the electric actuator motor of the conveyor belt corresponding to each speed test group, For the first The chain spacing distance of the conveyor belt corresponding to each speed test group, , and They are the weight factors of the set cargo docking position distance, the weight factors of the electric actuator motor temperature and the weight factors of the chain clamping distance. is the preset reference transport coefficient, , , .

[0025] It should be noted that the stop distances of each historical conveyor belt corresponding to the transported goods are obtained from the database, and the average cargo stop position distance of each historical conveyor belt corresponding to the transported goods is obtained through the average value formula method, and the average cargo stop position distance is used as the set reference cargo stop position distance, the motor temperature of each section of the electric actuator corresponding to each historical operation of the conveyor belt is obtained from the database, and the average motor temperature of the electric actuator corresponding to the conveyor belt during each historical operation is obtained according to the average value formula method, and the average motor temperature is used as the set reference electric actuator motor temperature, the chain positioning distances of each corresponding operation of the conveyor belt are obtained from the database, and the average chain positioning distance of the conveyor belt corresponding to each historical operation is obtained based on the average value formula method, and the average chain positioning distance is used as the set reference chain positioning distance.

[0026] It should also be noted that the weight factors of the cargo docking location distance, the electric actuator motor temperature and the chain clamping distance are calculated using the CRITIC weight method, and the comparison intensity is multiplied by the conflict index and normalized to obtain the final weight.

[0027] It should be noted again that the CRITIC weighting method is an objective weighting method. It determines the objective weight of indicators based on two basic concepts. The comparative intensity is the difference between the values ​​of various evaluation schemes for the same indicator, which is expressed by the standard deviation, and the conflict is expressed by the correlation coefficient.

[0028] Step 2: Screening of diagnostic personnel: When the electric actuator of a conveyor belt corresponding to a speed test group is in an abnormal state, perform in-depth manual professional inspection on each abnormal electric actuator to screen out the maintenance personnel corresponding to each abnormal electric actuator.

[0029] As an optional implementation manner, the maintenance personnel corresponding to each abnormal electric actuator are screened out, and the specific screening process is as follows: the transport assessment coefficient of the conveyor belt corresponding to each speed test group is compared with the historical transport assessment coefficient thresholds corresponding to the abnormal transport conditions of each maintenance personnel stored in the database; if the transport assessment coefficient of the conveyor belt corresponding to a speed test group is the same as a historical transport assessment coefficient threshold corresponding to the abnormal transport condition of a maintenance personnel stored in the database, then the maintenance personnel will be used as the maintenance personnel of the abnormal electric actuator, so as to screen out the maintenance personnel corresponding to the abnormal electric actuator.

[0030] Step 3: Diagnostic personnel operation monitoring: obtain the operation information and diagnostic data of each maintenance personnel corresponding to the detection of each abnormal electric actuator, and then analyze to obtain the diagnostic result coefficient of each maintenance personnel corresponding to the detection of each abnormal electric actuator, and analyze to obtain the maintenance method of each maintenance personnel corresponding to each abnormal electric actuator.

[0031] It should be noted that the diagnostic data of each maintenance personnel corresponding to the detection of each abnormal electric actuator is obtained from the database. When each maintenance personnel completes the detection of each abnormal electric actuator, each maintenance personnel can reflect the phenomenon of each abnormal electric actuator when performing the operation detection. For example, the phenomenon is reflected as unstable current and voltage, which is an electrical fault type. If the phenomenon is reflected as a chain break, it is a mechanical fault type. If the phenomenon is reflected as position offset, it is a control fault type, and then the fault type of each abnormal electric actuator is obtained. The fault level is benchmarked according to the level standards stored in the database. Through the manifestation of the fault type, such as current and voltage values, the current and voltage values ​​corresponding to the current abnormal electric actuators are compared with the current and voltage values ​​corresponding to each fault level in the database. If the values ​​are the same, the fault level corresponding to each abnormal electric actuator is obtained, so as to obtain the diagnostic data of each maintenance personnel corresponding to the detection of each abnormal electric actuator.

[0032] As an optional implementation, the operation information of each maintenance personnel corresponding to each abnormal electric actuator detection is obtained. The specific monitoring process is as follows: the operation image of each maintenance personnel corresponding to each abnormal electric actuator detection is monitored by a camera, and the operation information of each maintenance personnel corresponding to each abnormal electric actuator detection is extracted from the operation image, wherein the operation information includes the operation behavior of the maintenance personnel and the operation process of the maintenance personnel. First, the operation body movement angle and operation speed of each maintenance personnel when detecting each abnormal electric actuator are observed. Secondly, the operation pause duration and the number of repetitions of the operation steps of each maintenance personnel when detecting each abnormal electric actuator are obtained, and the operation information of each maintenance personnel corresponding to the execution of each abnormal electric actuator is obtained. Since the operation information affects the diagnosis result of the detection personnel's corresponding judgment of each abnormal electric actuator, the operation information of each maintenance personnel corresponding to the execution of each abnormal electric actuator detection is used as the diagnostic influencing factor of the detection diagnosis result, and is recorded as .

[0033] As an optional implementation, the diagnostic data includes a fault type and a fault level.

[0034] As an optional implementation, the analysis obtains the diagnostic result coefficient of each maintenance personnel corresponding to each abnormal electric actuator detected. The specific analysis process is as follows: By calculating the formula: , the analysis results are Each maintenance personnel is responsible for testing The diagnostic result coefficient of abnormal electric actuator , is the number of each maintenance personnel, , is any integer greater than 2, is the number of each abnormal electric actuator, , is any integer greater than 2, is the reference fault type set, is the set reference fault level, For the Each maintenance personnel is responsible for testing Abnormal electric actuator fault type, For the Each maintenance personnel is responsible for testing The fault level of an abnormal electric actuator, For the Each maintenance personnel is responsible for testing The diagnostic influencing factors of abnormal electric actuators are: , are the weight factors of the set fault type and fault level, respectively. , .

[0035] It should also be noted that, based on the abnormal performance parameters of each abnormal electric actuator detected by each inspector, such as the frequency of current and voltage fluctuations, they are compared with the fault types corresponding to the electric actuators stored in the database to obtain the standard fault type corresponding to the same abnormal performance parameters, and the standard fault type is set as the reference fault type. The current and voltage values ​​of each abnormal electric actuator detected by each inspector are compared with the standard values ​​of fault levels stored in the database to obtain the standard fault level, and the standard fault level is used as the set reference fault level.

[0036] It should be noted again that the weight factor of the fault type and the weight factor of the fault level are calculated using the CRITIC weight method, and the contrast intensity is multiplied by the conflict index and normalized to obtain the final weight.

[0037] As an optional implementation, the analysis obtains the maintenance method of each maintenance personnel corresponding to each abnormal electric actuator. The specific analysis process is as follows: the diagnostic result coefficient of each maintenance personnel corresponding to the detection of each abnormal electric actuator is compared with the diagnostic result coefficient threshold range corresponding to each maintenance method stored in the database. If the diagnostic result coefficient of a maintenance personnel corresponding to the detection of a certain abnormal electric actuator is within the diagnostic result coefficient threshold range corresponding to a certain maintenance method stored in the database, then the maintenance method is used as the maintenance method of the maintenance personnel corresponding to the abnormal electric actuator. The maintenance method of each maintenance personnel corresponding to each abnormal electric actuator is obtained through this analysis.

[0038] Step 4: Verify the diagnostic results: Based on the maintenance methods of each maintenance personnel corresponding to each abnormal electric actuator, verify the accuracy of the diagnostic results of each maintenance personnel corresponding to each abnormal electric actuator.

[0039] As an optional implementation, the accuracy of the diagnosis results of each abnormal electric actuator corresponding to each maintenance personnel is specifically verified through the following process: the maintenance method of each maintenance personnel corresponding to each abnormal electric actuator is compared with the historical maintenance method set corresponding to each conveyor belt electric actuator fault type stored in the database. If the maintenance method of a certain maintenance personnel corresponding to a certain abnormal electric actuator is not in the historical maintenance method set corresponding to a certain conveyor belt electric actuator fault type stored in the database, then it is determined that the fault diagnosis result of the abnormal electric actuator by the maintenance personnel is inaccurate, and re-testing is performed. If the maintenance method of a certain maintenance personnel corresponding to a certain abnormal electric actuator is in the historical maintenance method set corresponding to a certain conveyor belt electric actuator fault type stored in the database, then it is determined that the fault diagnosis result of the abnormal electric actuator by the maintenance personnel is accurate, thereby verifying the accuracy of the diagnosis results of each maintenance personnel corresponding to each abnormal electric actuator.

[0040] Step 5: Early warning: When the electric actuator of a conveyor belt corresponding to a speed test group is in an abnormal state or the diagnosis result of a maintenance personnel corresponding to an abnormal electric actuator is inaccurate, an early warning is issued.

[0041] According to the embodiment of the present invention, a preliminary transport test is performed on the conveyor belt in the factory, so as to understand the status of the electric actuator corresponding to the conveyor belt, and perform in-depth manual professional monitoring on each abnormal electric actuator. First, the maintenance personnel of each abnormal electric actuator are screened out, and then the maintenance method of each maintenance personnel corresponding to each abnormal electric actuator is obtained by analysis, and the accuracy of the diagnosis result of each maintenance personnel corresponding to each abnormal electric actuator is verified, so as to realize comprehensive electric actuator fault monitoring of the corresponding conveyor belt in the factory, ensure the normal operation of the corresponding conveyor belt, and realize in-depth and accurate detection of the electric actuator fault corresponding to the conveyor belt, solve the deficiencies in the current technology, timely discover and repair potential conveyor belt electric actuator fault problems, thereby improving the efficient transportation of the conveyor belt and the service life of the electric actuator, reducing the maintenance cost caused by the sudden failure of the electric actuator, avoiding the production loss caused by the downtime caused by the failure of the conveyor belt electric actuator, and improving the corresponding transportation efficiency of the factory.

[0042] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they shall all fall within the protection scope of the present invention.

Claims

1. A fault diagnosis method for an electric actuator, characterized in that: include: Step 1: Actuator test: By setting up various speed test groups, a conveyor belt speed transmission test is performed in the factory, thereby collecting transmission information corresponding to each speed test group in the factory, and determining the electric actuator status of the conveyor belt corresponding to each speed test group; Step 2: Screening of diagnostic personnel: When the electric actuator of the conveyor belt corresponding to a speed test group is in abnormal state, perform in-depth manual professional inspection on each abnormal electric actuator to screen out the maintenance personnel corresponding to each abnormal electric actuator; Step 3: Diagnostic personnel operation monitoring: obtain the operation information and diagnostic data of each maintenance personnel corresponding to the detection of each abnormal electric actuator, and then analyze and obtain the diagnostic result coefficient of each maintenance personnel corresponding to the detection of each abnormal electric actuator, and analyze and obtain the maintenance method of each maintenance personnel corresponding to each abnormal electric actuator; Step 4: Verification of diagnostic results: Based on the maintenance methods of each maintenance personnel corresponding to each abnormal electric actuator, the accuracy of the diagnostic results of each maintenance personnel corresponding to each abnormal electric actuator is verified; Step 5: Early warning: When the electric actuator of a conveyor belt corresponding to a speed test group is in an abnormal state or the diagnosis result of a maintenance personnel corresponding to an abnormal electric actuator is inaccurate, an early warning is issued.

2. A fault diagnosis method for an electric actuator as claimed in claim 1, characterized in that: The transmission information corresponding to each speed test group in the factory is collected, and the specific collection process is as follows: R1. Use the historical conveying speed positioning interval corresponding to the conveyor belt stored in the database as the conveyor belt speed transmission position reference value, and set each speed test group according to the preset speed difference, and set each monitoring time period during the conveyor belt speed transmission test, and then start each speed transmission test corresponding to the test conveyor belt; R2. Increase the speed in sequence according to the preset speed difference, and install a camera above the test conveyor belt corresponding to each speed test group, and at the same time install a sensor on the conveyor belt corresponding to the test of each speed test group, monitor the conveyor belt image of each speed test group in each monitoring time period, and obtain the conveyor belt transmission information corresponding to each speed test group from the conveyor belt image and the sensor, wherein the transmission information includes the cargo stop position distance, the electric actuator motor temperature and the chain clamping distance. When the test conveyor belt corresponding to each speed test group deviates from the cargo delivery position or automatically stops, record the test speed value corresponding to the test conveyor belt of each speed test group in the current monitoring time period, and stop the conveyor belt speed test.

3. A fault diagnosis method for an electric actuator as claimed in claim 1, characterized in that: The determination is to obtain the electric actuator state of the conveyor belt corresponding to each speed test group, and the specific determination process is as follows: According to the conveyor belt transmission information collected corresponding to each speed test group, wherein the transmission information includes the distance of the cargo stop position, the temperature of the electric actuator motor and the chain clamping distance, the corresponding machine learning model is selected, and the conveyor belt transmission information collected corresponding to each speed test group is input into the machine learning model, and the transportation evaluation coefficient of the conveyor belt corresponding to each speed test group is obtained by analysis. When the output result of the conveyor belt transportation evaluation coefficient corresponding to a speed test group is 0, it is determined that the state of the electric actuator of the conveyor belt corresponding to the speed test group is abnormal, and the electric actuator is recorded as an abnormal electric actuator, and each abnormal electric actuator is obtained, and in-depth manual inspection is performed. When the output result of the conveyor belt transportation evaluation coefficient corresponding to a speed test group is 1, it is determined that the state of the electric actuator of the conveyor belt corresponding to the speed test group is normal, thereby determining the state of the electric actuator of the conveyor belt corresponding to each speed test group.

4. A fault diagnosis method for an electric actuator as claimed in claim 1, characterized in that: The analysis obtains the transport evaluation coefficient of the conveyor belt corresponding to each speed test group. The specific analysis process is as follows: By calculation formula: , the analysis results are The transport evaluation coefficient of the conveyor belt corresponding to the speed test group , is the number of each speed test group, , is any integer greater than 2, For the The speed test group corresponds to the distance between the goods on the conveyor belt and the stop position. For the The temperature of the electric actuator motor of the conveyor belt corresponding to each speed test group, For the first The chain spacing distance of the conveyor belt corresponding to each speed test group, , and They are the weight factors of the set cargo docking position distance, the weight factors of the electric actuator motor temperature and the weight factors of the chain clamping distance. is the preset reference transport coefficient, , , .

5. A fault diagnosis method for an electric actuator as claimed in claim 1, characterized in that: The specific screening process of screening out the maintenance personnel corresponding to each abnormal electric actuator is as follows: The transport assessment coefficient of the conveyor belt corresponding to each speed test group is compared with the historical transport assessment coefficient thresholds of each maintenance personnel corresponding to the abnormal transport conditions stored in the database. If the transport assessment coefficient of the conveyor belt corresponding to a speed test group is the same as a historical transport assessment coefficient threshold of a maintenance personnel corresponding to the abnormal transport conditions stored in the database, the maintenance personnel will be used as the maintenance personnel of the abnormal electric actuator, so as to screen out the maintenance personnel corresponding to the abnormal electric actuators.

6. A fault diagnosis method for an electric actuator as claimed in claim 1, characterized in that: The operation information of each maintenance personnel corresponding to each abnormal electric actuator detection is obtained, and the specific monitoring process is as follows: The operation images of each maintenance personnel corresponding to the detection of each abnormal electric actuator are monitored by a camera, and the operation information of each maintenance personnel corresponding to the detection of each abnormal electric actuator is extracted from the operation images, wherein the operation information includes the operation behavior and operation process of the maintenance personnel. First, the operation body movement angle and operation speed of each maintenance personnel corresponding to the detection of each abnormal electric actuator are observed. Secondly, the operation pause duration and the number of repetitions of the operation steps of each maintenance personnel corresponding to the detection of each abnormal electric actuator are obtained, and the operation information of each maintenance personnel corresponding to the execution of each abnormal electric actuator is obtained. Since the operation information has an impact on the diagnostic results of the detection personnel's corresponding judgment of each abnormal electric actuator, the operation information of each maintenance personnel corresponding to the detection of each abnormal electric actuator is used as the diagnostic influencing factor of the detection diagnosis result, and is recorded as .

7. A fault diagnosis method for an electric actuator as claimed in claim 1, characterized in that: The diagnostic data includes a fault type and a fault level.

8. A fault diagnosis method for an electric actuator as claimed in claim 1, characterized in that: The analysis obtains the diagnostic result coefficient of each maintenance personnel corresponding to each abnormal electric actuator. The specific analysis process is as follows: By calculation formula: , the analysis results are Each maintenance personnel is responsible for testing The diagnostic result coefficient of abnormal electric actuator , is the number of each maintenance personnel, , is any integer greater than 2, is the number of each abnormal electric actuator, , is any integer greater than 2, is the reference fault type set, is the set reference fault level, For the Each maintenance personnel is responsible for testing Abnormal electric actuator fault type, For the Each maintenance personnel is responsible for testing The fault level of an abnormal electric actuator, For the Each maintenance personnel is responsible for testing The diagnostic influencing factors of abnormal electric actuators are: , are the weight factors of the set fault type and fault level, respectively. , .

9. A fault diagnosis method for an electric actuator as claimed in claim 1, characterized in that: The analysis obtains the maintenance method of each maintenance personnel corresponding to each abnormal electric actuator. The specific analysis process is as follows: The diagnostic result coefficient of each maintenance personnel's detection of each abnormal electric actuator is compared with the diagnostic result coefficient threshold range corresponding to each maintenance method stored in the database. If the diagnostic result coefficient of a maintenance personnel's detection of a certain abnormal electric actuator is within the diagnostic result coefficient threshold range corresponding to a maintenance method stored in the database, then the maintenance method will be used as the maintenance method of the maintenance personnel corresponding to the abnormal electric actuator. The maintenance method of each maintenance personnel corresponding to each abnormal electric actuator is obtained through analysis.

10. A fault diagnosis method for an electric actuator as claimed in claim 1, characterized in that: The accuracy of the diagnostic results of each abnormal electric actuator by each maintenance personnel is verified as follows: The maintenance method of each maintenance personnel corresponding to each abnormal electric actuator is compared with the historical maintenance method set corresponding to each conveyor belt electric actuator fault type stored in the database. If the maintenance method of a maintenance personnel corresponding to a certain abnormal electric actuator is not in the historical maintenance method set corresponding to a certain conveyor belt electric actuator fault type stored in the database, it is determined that the fault diagnosis result of the maintenance personnel for the abnormal electric actuator is inaccurate, and re-testing is performed. If the maintenance method of a maintenance personnel corresponding to a certain abnormal electric actuator is in the historical maintenance method set corresponding to a certain conveyor belt electric actuator fault type stored in the database, it is determined that the fault diagnosis result of the maintenance personnel for the abnormal electric actuator is accurate, thereby verifying the accuracy of the diagnosis results of each maintenance personnel corresponding to each abnormal electric actuator.

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