A relay state diagnosis method

Abstract

The application discloses a relay state diagnosis method, and relates to the technical field of data analysis, and comprises the following steps: setting test parameters, testing the relay, obtaining test results, obtaining the contact aging degree and the electrical aging degree through first analysis, obtaining the comprehensive aging degree of the relay through fusion, and dividing the relay state grade. The application simultaneously considers the contact aging and the electrical aging, comprehensively reflects the actual state of the relay, accurately evaluates the comprehensive aging degree of the relay, formulates a more accurate maintenance strategy, and avoids resource waste caused by excessive maintenance or delayed maintenance. Precise diagnosis ensures that maintenance work is carried out when necessary, prolongs the service life of the relay, reduces equipment replacement cost, fully utilizes different types of data information by fusing the contact aging and electrical aging data, improves the anti-interference ability of the diagnosis result, and enhances the reliability of the diagnosis result.

Description

Technical Field

[0001] This invention relates to the technical field of data analysis, and in particular to a method for diagnosing the state of a relay. Background Technology

[0002] In recent years, an increasing number of enterprises have adopted automated testing technology. Automated testing systems can quickly and accurately complete various performance tests on relays, greatly improving testing efficiency and reducing human error. With the help of intelligent devices such as sensors and actuators, real-time monitoring and data acquisition of relay status are achieved. Through big data analytics and artificial intelligence technologies, the collected data is deeply mined and analyzed, enabling the timely detection of potential faults and improving the accuracy and efficiency of fault diagnosis. Based on machine learning and deep learning technologies, intelligent diagnostic algorithms mine and analyze relay fault data, automatically identifying and classifying fault types, and providing corresponding maintenance suggestions.

[0003] Currently, Chinese invention patent CN109031111A discloses a relay status diagnosis circuit and power supply. This method uses a voltage acquisition module to collect voltages received at the first, second, and third input terminals, a power supply voltage detection module, a positive relay detection module, a negative relay detection module, and a back-end voltage detection module. It can quickly and accurately diagnose the relay status. However, the related technology does not combine the data based on the mechanical and electrical states of the contacts to determine the relay status, which is not conducive to the comprehensiveness of the relay status judgment. It also does not judge the relay status based on the time series of the detection data, which is not conducive to the dynamic responsiveness of the relay status judgment, and has certain limitations. Summary of the Invention

[0004] The technical problem solved by this invention is that related technologies do not combine data based on the mechanical and electrical states of the contacts to determine the relay state, which is not conducive to the comprehensiveness of the relay state determination. They also do not determine the relay state based on the time series of the detection data, which is not conducive to the dynamic responsiveness of the relay state determination and has certain limitations.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a relay status diagnosis method, comprising the following steps:

[0006] Step S100: Set test parameters, test the relay according to the test parameters, and obtain the test results;

[0007] Step S200: Perform a first analysis on the test results, and obtain the contact aging degree and electrical aging degree based on the first analysis results;

[0008] Step S300: Combine the contact aging degree and electrical aging degree to obtain the overall aging degree of the relay, and obtain the relay status level based on the overall aging degree of the relay.

[0009] As a preferred embodiment of the relay status diagnosis method of the present invention, the test parameters include test duration, pull-in cycle, disconnection cycle and test input power;

[0010] The test duration is the total test duration for the relay, the engagement cycle is the interval during which the relay engages, and the disengagement cycle is the interval during which the relay disengages.

[0011] Starting from the initial pull-in cycle and the initial disconnect cycle, adjacent pull-in cycles and disconnect cycles constitute one relay opening and closing process;

[0012] The test results include pull-in time, release time, contact resistance, and contact voltage;

[0013] The engagement time is the duration required for the relay to engage once, and the release time is the duration required for the relay to disengage once.

[0014] In a preferred embodiment of the relay status diagnosis method of the present invention, the first power is set as the test input power, and the first duration and the second duration are set as the pull-in cycle and the disconnection cycle, and the relay is tested.

[0015] Set the first duration as the first trigger condition, receive the first trigger condition, respond to the first trigger condition, and open the contact;

[0016] Set the second duration as the second trigger condition, receive the second trigger condition, respond to the second trigger condition, and disconnect the contact.

[0017] As a preferred embodiment of the relay state diagnosis method of the present invention, the following is included: acquiring the pull-in time, release time, contact resistance and contact voltage within the test duration;

[0018] The first analysis results include reset sensitivity, bounce sensitivity, and voltage fluctuation rate;

[0019] The contact bounce sensitivity is determined by the engagement and release time, and the reset sensitivity is determined by the contact resistance.

[0020] The degree of contact aging is determined based on the degree of reset sensitivity and mechanical sensitivity;

[0021] The degree of electrical aging is obtained based on the voltage fluctuation rate, and the calculation method for the degree of electrical aging includes:

[0022] Calculate the voltage difference between adjacent contacts, calculate the ratio of the voltage difference to the voltage of the previous contact, iterate through each ratio of the voltage difference to the voltage of the previous contact, calculate the average value of the ratio of the voltage difference to the voltage of the previous contact, and set the average value of the ratio of the voltage difference to the voltage of the previous contact as the degree of electrical aging.

[0023] As a preferred embodiment of the relay state diagnosis method of the present invention, the following is included: acquiring the pull-in time, release time, contact resistance and contact voltage within the test duration;

[0024] The first analysis results include reset sensitivity, bounce sensitivity, and voltage fluctuation rate;

[0025] The contact bounce sensitivity is determined by the engagement and release time, and the reset sensitivity is determined by the contact resistance.

[0026] The degree of contact aging is determined based on the degree of reset sensitivity and mechanical sensitivity;

[0027] The degree of electrical aging is obtained based on the voltage fluctuation rate, and the calculation method for the degree of electrical aging includes:

[0028] Calculate the voltage difference between adjacent contacts, calculate the ratio of the voltage difference to the voltage of the previous contact, iterate through each ratio of the voltage difference to the voltage of the previous contact, calculate the average value of the ratio of the voltage difference to the voltage of the previous contact, and set the average value of the ratio of the voltage difference to the voltage of the previous contact as the degree of electrical aging.

[0029] In a preferred embodiment of the relay status diagnosis method of the present invention, the method for calculating the reset sensitivity includes:

[0030] Obtain the time series of contact resistance after each set of engagement and disengagement operations, set the first value and the second value as the contact resistance threshold, compare the contact resistance with the release resistance threshold, mark the first contact resistance that is distributed between the first value and the second value, obtain the first time point corresponding to the first mark, count the change duration between the first time point and the initial time point, calculate the second ratio of the change duration to the test duration, and set the second ratio as the reset sensitivity.

[0031] As a preferred embodiment of the relay condition diagnosis method described in this invention, the method for determining the contact aging degree based on reset sensitivity and mechanical sensitivity includes:

[0032] The weights of positional sensitivity and mechanical sensitivity are respectively set as the first weight and the second weight, the sum of the first weight and the second weight is 1, and the optimal position of the first weight and the second weight is optimized according to the particle swarm optimization algorithm.

[0033] Calculate the first product of the first ratio and the first weight, and calculate the second product of the second ratio and the second weight. Calculate the average of the first product and the second product, and set it as the degree of contact aging.

[0034] As a preferred embodiment of the relay state diagnosis method of the present invention, the method for finding and matching the optimal positions of the first weight and the second weight according to the particle swarm optimization algorithm includes:

[0035] Set the initial number of particles in the population, the number of iterations, the inertia weight, and the acceleration coefficient. Randomly initialize the position and velocity of each particle and use the position and velocity of the particles as input to the weight optimization model.

[0036] Run the weight optimization model to obtain the fitness evaluation value of the particles, traverse the fitness evaluation values ​​of the particles, select the fitness evaluation value of the particle with the largest value, obtain the particle position corresponding to the fitness evaluation value of the particle with the largest value, and set the particle position as the optimal position.

[0037] The coefficients of the fuzzy rules are updated based on the optimal position. The calculation ends when the fitness evaluation value of the particle with the largest value reaches the first fitness threshold or the number of iterations is reached.

[0038] Replace the original first and second weights with the current first and second weights.

[0039] As a preferred embodiment of the relay status diagnosis method of the present invention, the relay status levels include a first level, a second level, and a third level;

[0040] The first, second, and third levels indicate increasingly severe relay malfunctions.

[0041] In a preferred embodiment of the relay condition diagnosis method of the present invention, the degree of contact aging and the degree of electrical aging are combined to obtain the overall aging degree of the relay. The method for combining the overall aging degree of the relay includes:

[0042] The weights of contact aging and electrical aging are set to 0.5 and 0.5 respectively. The third product of the weight of contact aging and the third product of electrical aging are calculated, and the fourth product of the weight of electrical aging and the fourth product of electrical aging are calculated. The average of the third product and the fourth product is set as the overall aging degree of the relay.

[0043] The methods for classifying relay status levels include:

[0044] Set the third and fourth values ​​as aging thresholds, compare the overall aging degree of the relay with the aging thresholds, and set the relay status level to the first level when the overall aging degree of the relay is less than or equal to the third value, set the relay status level to the second level when the overall aging degree of the relay is greater than the third value and less than or equal to the fourth value, and set the relay status level to the third level when the overall aging degree of the relay is greater than the fourth value.

[0045] The beneficial effects of this invention are as follows: It simultaneously considers two important aspects: contact aging and electrical aging. Contact aging mainly affects the mechanical and electrical contact performance of the relay, while electrical aging affects insulation performance. Considering both comprehensively reflects the actual condition of the relay. By accurately assessing the overall aging degree of the relay, more precise maintenance strategies can be formulated. For example, for lightly aged relays, preventative maintenance measures can be taken to slow down the aging process; for heavily aged relays, timely replacement can prevent malfunctions and avoid resource waste caused by over-maintenance or delayed maintenance. Accurate diagnosis ensures that maintenance is performed when necessary, extending the relay's service life and reducing equipment replacement costs. By integrating contact aging and electrical aging data, and fully utilizing different types of data information, the anti-interference capability of diagnostic results is improved, enhancing the reliability of diagnostic results. Attached Figure Description

[0046] Figure 1 This is a basic flowchart illustrating a relay status diagnosis method according to an embodiment of the present invention. Detailed Implementation

[0047] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0048] Example, refer to Figure 1 As an embodiment of the present invention, a relay status diagnosis method is provided, comprising the following steps:

[0049] Step S100: Set test parameters, test the relay according to the test parameters, and obtain the test results;

[0050] Step S200: Perform a first analysis on the test results, and obtain the contact aging degree and electrical aging degree based on the first analysis results;

[0051] Step S300: Combine the contact aging degree and electrical aging degree to obtain the overall aging degree of the relay, and obtain the relay status level based on the overall aging degree of the relay.

[0052] This invention considers both contact aging and electrical aging, two important aspects. Contact aging primarily affects the mechanical and electrical contact performance of the relay, while electrical aging affects insulation performance. By comprehensively considering both, it provides a more complete picture of the relay's actual condition. Accurate assessment of the relay's overall aging level allows for the development of more precise maintenance strategies. For example, for lightly aged relays, preventative maintenance measures can be implemented to slow down the aging process; for heavily aged relays, timely replacement is crucial to prevent malfunctions and avoid resource waste caused by over- or delayed maintenance. Precise diagnosis ensures that maintenance is performed when necessary, extending the relay's lifespan and reducing equipment replacement costs. By integrating contact aging and electrical aging data, and fully utilizing different types of data, the invention improves the diagnostic results' resistance to interference and enhances their reliability.

[0053] Test parameters include test duration, pull-in cycle, disconnection cycle, and test input power;

[0054] Test duration is the total time for testing the relay; pull-in cycle is the interval during which the relay pulls in; and disconnect cycle is the interval during which the relay disconnects.

[0055] Starting from the initial pull-in cycle and the initial disconnect cycle, adjacent pull-in cycles and disconnect cycles constitute one relay opening and closing process;

[0056] Test results include pull-in time, release time, contact resistance, and contact voltage;

[0057] The pull-in time is the duration required for the relay to pull in once, and the release time is the duration required for the relay to disconnect once.

[0058] In practice, by setting parameters such as test duration, pull-in cycle, disconnection cycle, and test input power, various operating conditions of the relay in actual operation can be simulated. The combination of these parameters comprehensively covers the dynamic and static characteristics of the relay, ensuring that the test results accurately reflect the actual performance of the relay. Test results include key indicators such as pull-in duration, release duration, contact resistance, and contact voltage. These indicators reflect the electrical and mechanical performance of the relay from different perspectives. For example, pull-in and release durations reflect the relay's operating speed and response capability; contact resistance reflects the degree of aging of the contact points; and contact voltage reflects the electrical performance of the contacts. By dynamically monitoring changes in parameters such as pull-in and release duration during the test, subtle changes in relay performance can be detected promptly. For example, a gradual increase in pull-in duration may indicate a potential fault in the relay's electromagnetic system. Analysis of the test results can provide early warnings of possible relay failures. For instance, an increase in contact resistance may indicate contact aging, and abnormal changes in contact voltage may indicate contact damage. Early warning systems allow for timely intervention and prevention of malfunctions. Accurate relay status assessments enable early detection and maintenance of potential problems, reducing unexpected downtime caused by relay failures. This is particularly important for critical equipment and systems such as power systems and industrial automation systems, significantly improving system reliability and availability.

[0059] Set the first power as the test input power, and set the first duration and the second duration as the pull-in cycle and the disconnect cycle, and test the relay.

[0060] Set the first duration as the first trigger condition, receive the first trigger condition, respond to the first trigger condition, and open the contact;

[0061] Set the second duration as the second trigger condition, receive the second trigger condition, respond to the second trigger condition, and disconnect the contact.

[0062] In practical implementation, by setting the first power as the test input power, the relay can be tested under specified power conditions, simulating the input conditions in actual working scenarios. This precise power control avoids test errors caused by unstable input power. Setting the first and second durations as the pull-in and open-out cycles, respectively, allows for precise control of the relay's pull-in and open-out processes. This precise time control ensures the repeatability and consistency of the test process, providing a reliable data foundation for subsequent analysis. By setting the first and second durations as trigger conditions, the opening and closing of the contacts are controlled respectively. This time-based triggering mechanism enables automated testing, reduces manual intervention, and improves testing efficiency and accuracy. The setting and response mechanism of the trigger conditions ensures that the relay's action response is timely and accurate during the test process. This helps capture the relay's performance changes during dynamic processes, providing richer information for condition assessment. By controlling the pull-in and open-out cycles, the dynamic process of the relay in actual operation can be simulated, and the relay's performance under frequent operation conditions can be evaluated. This is particularly important for evaluating the mechanical durability and electrical stability of the relay.

[0063] During the test duration, obtain the pull-in duration, release duration, contact resistance, and contact voltage;

[0064] The first analysis results include reset sensitivity, bounce sensitivity, and voltage fluctuation rate;

[0065] The contact bounce sensitivity is determined by the engagement and release time, and the reset sensitivity is determined by the contact resistance.

[0066] The degree of contact aging is determined based on the degree of reset sensitivity and mechanical sensitivity;

[0067] The degree of electrical aging is determined based on voltage fluctuation rate. Methods for calculating the degree of electrical aging include:

[0068] Calculate the voltage difference between adjacent contacts, calculate the ratio of the voltage difference to the voltage of the previous contact, iterate through each ratio of the voltage difference to the voltage of the previous contact, calculate the average value of the ratio of the voltage difference to the voltage of the previous contact, and set the average value of the ratio of the voltage difference to the voltage of the previous contact as the degree of electrical aging.

[0069] In practice, the degree of contact aging and electrical aging of the relay is comprehensively evaluated by analyzing indicators such as reset sensitivity, bounce sensitivity, and voltage fluctuation rate. This comprehensive evaluation method avoids misjudgments caused by a single indicator, improves the accuracy of the evaluation, and is applicable to various types of relays, including electromagnetic relays and solid-state relays. By adjusting test parameters and analysis methods, it adapts to different types of relays and application scenarios. Detailed recording and analysis of test results provide data support for maintenance decisions. For example, by analyzing the changing trends of engagement and release times, it can be determined whether the relay's operating performance has deteriorated.

[0070] The methods for calculating jumping agility include:

[0071] Obtain the time series of the pull-in duration and the time series of the release duration, calculate the first difference between adjacent pull-in durations, and calculate the second difference between adjacent release durations. Adjacent means adjacent in time order. Iterate through each group of first and second differences.

[0072] Using the first duration as the independent variable and each first difference as the dependent variable, the first coefficient is obtained by the least squares method. Using the second duration as the independent variable and each second difference as the dependent variable, the second coefficient is obtained by the least squares method. The first and second coefficients are constants.

[0073] Calculate the first average of the first and second coefficients;

[0074] Retrieve the contact parameter database, obtain the contact model, input the contact model into the contact parameter database, and match the standard engagement time and standard release time corresponding to the contact model. The standard engagement time and standard release time are represented as the engagement time and release time of unused contacts.

[0075] Calculate the second average of the standard hold-up duration and the standard release duration;

[0076] Calculate the first ratio of the first average and the second average, and set the first ratio as the bounce sensitivity. The larger the first ratio, the smaller the bounce sensitivity.

[0077] The methods for calculating reset sensitivity include:

[0078] Obtain the time series of contact resistance after each set of engagement and disengagement operations, set the first value and the second value as the contact resistance threshold, compare the contact resistance with the release resistance threshold, mark the contact resistance that is first distributed between the first value and the second value, obtain the first time point corresponding to the first mark, count the change duration between the first time point and the initial time point, calculate the second ratio of the change duration to the test duration, and set the second ratio as the reset sensitivity.

[0079] In practice, by analyzing the time series of the pull-in and release durations, minute changes in the relay contacts during continuous operation are captured. This time series analysis method more comprehensively reflects the dynamic performance of the contacts, calculating the difference between adjacent pull-in and release durations to quantify the stability of the contacts during continuous operation. The smaller the difference, the more stable the contact operation and the smaller the bounce. Using the first and second durations as independent variables and the first and second differences as dependent variables, a linear fit is performed using the least squares method to obtain a linear relationship describing the stability of the contact operation. This linear fit method more accurately reflects the regularity of the contact operation. By comparing with the average of standard pull-in and release durations, the bounce sensitivity is obtained. This comparison method more intuitively reflects the dynamic performance of the contacts. By analyzing the bounce sensitivity, potential relay faults can be predicted in advance. For example, a sudden increase in bounce sensitivity may indicate contact damage. Early warning allows for timely measures to be taken to prevent faults from occurring.

[0080] Methods for determining the degree of contact aging based on reset sensitivity and mechanical sensitivity include:

[0081] The weights of positional sensitivity and mechanical sensitivity are set as the first weight and the second weight, respectively. The sum of the first weight and the second weight is 1. The optimal position of the first weight and the second weight is searched and matched according to the particle swarm optimization algorithm.

[0082] Calculate the first product of the first ratio and the first weight, and calculate the second product of the second ratio and the second weight. Calculate the average of the first product and the second product, and set it as the degree of contact aging.

[0083] The methods for finding the optimal positions of the first and second weights based on the particle swarm optimization algorithm include:

[0084] Set the initial number of particles in the population, the number of iterations, the inertia weight, and the acceleration coefficient. Randomly initialize the position and velocity of each particle and use the position and velocity of the particles as input to the weight optimization model.

[0085] Run the weight optimization model to obtain the fitness evaluation value of the particles. Iterate through the fitness evaluation values ​​of the particles, select the fitness evaluation value of the particle with the largest value, obtain the particle position corresponding to the fitness evaluation value of the particle with the largest value, and set the particle position as the optimal position.

[0086] The coefficients of the fuzzy rules are updated based on the optimal position. The calculation ends when the fitness evaluation value of the particle with the largest value reaches the first fitness threshold or the number of iterations is reached.

[0087] Replace the original first and second weights with the current first and second weights.

[0088] In practice, the particle swarm optimization algorithm is used to optimize and match the first and second weights to find the weights that best reflect the impact of reset sensitivity and mechanical sensitivity on contact aging. This optimization method improves the accuracy of the assessment. As new algorithms and computational methods emerge, the particle swarm optimization algorithm is optimized and upgraded to improve the accuracy and efficiency of the assessment.

[0089] Relay status levels include Level 1, Level 2, and Level 3;

[0090] The first, second, and third levels indicate an increasing degree of relay failure.

[0091] The overall aging degree of the relay is obtained by combining the contact aging degree and the electrical aging degree. The methods for combining the overall aging degree of the relay include:

[0092] The weights of contact aging and electrical aging are set to 0.5 and 0.5 respectively. The third product of the weight of contact aging and the third product of electrical aging are calculated. The fourth product of the weight of electrical aging and the fourth product is calculated. The average of the third product and the fourth product is set as the overall aging degree of the relay.

[0093] The methods for classifying relay status levels include:

[0094] Set the third and fourth values ​​as aging thresholds, compare the overall aging degree of the relay with the aging thresholds, and set the relay status level to the first level when the overall aging degree of the relay is less than or equal to the third value, set the relay status level to the second level when the overall aging degree of the relay is greater than the third value and less than or equal to the fourth value, and set the relay status level to the third level when the overall aging degree of the relay is greater than the fourth value.

[0095] In practice, the weights of both contact aging and electrical aging are set to 0.5, thus considering the impact of these two factors on the overall aging degree of the relay with equal weight. This integrated evaluation method avoids misjudgment caused by a single factor and improves the comprehensiveness of the evaluation. By setting a third and fourth value as aging thresholds, the overall aging degree of the relay is compared with these thresholds, thereby accurately classifying the relay's condition level.

[0096] This invention considers both contact aging and electrical aging, two important aspects. Contact aging primarily affects the mechanical and electrical contact performance of the relay, while electrical aging affects insulation performance. By comprehensively considering both, it provides a more complete picture of the relay's actual condition. Accurate assessment of the relay's overall aging level allows for the development of more precise maintenance strategies. For example, for lightly aged relays, preventative maintenance measures can be implemented to slow down the aging process; for heavily aged relays, timely replacement is crucial to prevent malfunctions and avoid resource waste caused by over- or delayed maintenance. Precise diagnosis ensures that maintenance is performed when necessary, extending the relay's lifespan and reducing equipment replacement costs. By integrating contact aging and electrical aging data, and fully utilizing different types of data, the invention improves the diagnostic results' resistance to interference and enhances their reliability.

[0097] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program code. The storage medium is implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable Red-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0098] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention should all be covered within the scope of the claims of the present invention.

Claims

1. A relay state diagnosis method characterized by comprising: The method comprises the following steps: Step S100, setting test parameters, testing the relay according to the test parameters, and obtaining test results; Step S200, performing first analysis on the test results, and obtaining contact aging degree and electrical aging degree according to the first analysis results; Step S300, fusing the contact aging degree and the electrical aging degree to obtain a comprehensive aging degree of the relay, and obtaining a state grade of the relay according to the comprehensive aging degree of the relay; The attraction time length, the release time length, the contact resistance and the contact voltage are obtained within the test time length; The first analysis results include reset sensitivity, bounce sensitivity and voltage fluctuation rate; The bounce sensitivity of the contact is judged according to the attraction time length and the release time length, and the reset sensitivity of the contact is judged according to the contact resistance; The contact aging degree is obtained according to the reset sensitivity and the mechanical sensitivity; The electrical aging degree is obtained according to the voltage fluctuation rate, and the calculation method of the electrical aging degree comprises: calculating the difference value of adjacent contact voltages, calculating the ratio of the difference value to the previous contact voltage, traversing each ratio of the difference value to the previous contact voltage, calculating the average value of the ratio of the difference value to the previous contact voltage, and setting the average value of the ratio of the difference value to the previous contact voltage as the electrical aging degree; The calculation method of the bounce sensitivity comprises: obtaining a time sequence of the attraction time length and a time sequence of the release time length, calculating a first difference value of adjacent attraction time lengths, and calculating a second difference value of adjacent release time lengths, wherein the adjacent represents the adjacent in time sequence, and traversing each group of first difference values and second difference values; taking the first time length as the independent variable, taking each first difference value as the dependent variable, obtaining a first coefficient according to the least square method, taking the second time length as the independent variable, taking each second difference value as the dependent variable, obtaining a second coefficient according to the least square method, and the first coefficient and the second coefficient are constants; calculating a first average value of the first coefficient and the second coefficient; calling a contact parameter database, obtaining a contact type, inputting the contact type into the contact parameter database, matching a standard attraction time length and a standard release time length corresponding to the contact type, and the standard attraction time length and the standard release time length represent the attraction time length and the release time length of the contact which has not been used; calculating a second average value of the standard attraction time length and the standard release time length; calculating a first ratio of the first average value and the second average value, and setting the first ratio as the bounce sensitivity, wherein the greater the first ratio is, the smaller the bounce sensitivity is; The calculation method of the reset sensitivity comprises: obtaining a time sequence of the contact resistance after each group of attraction and disconnection operations, setting a first value and a second value as contact resistance thresholds, comparing the contact resistance with the contact resistance threshold, first marking the contact resistance which is distributed between the first value and the second value for the first time, obtaining a first time point corresponding to the first marking, counting the abnormal time length between the first time point and the initial time point, calculating a second ratio of the abnormal time length and the test time length, and setting the second ratio as the reset sensitivity; The method for obtaining the contact aging degree according to the reset sensitivity and the mechanical sensitivity comprises: The weight of the bit sensitivity degree and the mechanical sensitivity degree is respectively set as a first weight and a second weight, a sum of the first weight and the second weight is 1, and an optimal position of the first weight and the second weight is optimized and matched according to a particle swarm optimization algorithm; A first product of the first ratio and the first weight is calculated, a second product of the second ratio and the second weight is calculated, and an average of the first product and the second product is set as the contact aging degree.

2. A method of diagnosing the state of a relay according to claim 1, characterized by: The test parameters include a test duration, an attraction period, a release period and a test input power; The test duration represents a total duration for testing the relay, the attraction period represents an interval duration for attraction of the relay, and the release period represents an interval duration for release of the relay; From an initial attraction period and an initial release period, adjacent constituent attraction periods and release periods constitute a breaking process of the relay; The test results include an attraction duration, a release duration, a contact resistance and a contact voltage; The attraction duration represents a duration required for single attraction of the relay, and the release duration represents a duration required for single release of the relay.

3. A method of diagnosing the state of a relay according to claim 2, characterized by: The first power is set as the test input power, the first duration and the second duration are set as the attraction period and the release period, and the relay is tested; The first duration is set as a first trigger condition, the first trigger condition is received, the contact is opened in response to the first trigger condition; The second duration is set as a second trigger condition, the second trigger condition is received, and the contact is released in response to the second trigger condition.

4. The method of claim 1, wherein: The method for optimizing and matching the optimal position of the first weight and the second weight according to the particle swarm algorithm includes: An initial population particle number, an iteration number, an inertia weight and an acceleration coefficient are set, positions and speeds of the particles are randomly initialized, and the positions and speeds of the particles are taken as inputs of a weight optimization model; The weight optimization model is run to obtain fitness evaluation values of the particles, the fitness evaluation values of the particles are traversed, a fitness evaluation value of a particle with the largest value is selected, a particle position corresponding to the fitness evaluation value of the particle with the largest value is obtained, and the particle position is set as the optimal position; Coefficients of a fuzzy rule are updated according to the optimal position, and the calculation is ended when the fitness evaluation value of the particle with the largest value reaches a first fitness threshold or reaches the iteration number; The first weight and the second weight at this time replace the original first weight and the original second weight.

5. The relay status diagnosis method as described in claim 1, characterized in that: The relay state levels include a first level, a second level and a third level; The first level, the second level and the third level represent increasingly greater failure degrees of the relay.

6. A method of diagnosing the state of a relay according to claim 5, characterized by: The contact aging degree and the electrical aging degree are fused to obtain a relay comprehensive aging degree, and a fusion method of the relay comprehensive aging degree includes: Weights of the contact aging degree and the electrical aging degree are respectively set as 0.5 and 0.5, a third product of the weight of the contact aging degree and the contact aging degree is calculated, a fourth product of the weight of the electrical aging degree and the electrical aging degree is calculated, and an average of the third product and the fourth product is set as the relay comprehensive aging degree. The relay state grade division method comprises: The third value and the fourth value are set as aging thresholds, the relay comprehensive aging degree is compared with the aging thresholds, when the relay comprehensive aging degree is less than or equal to the third value, the relay state grade is set as a first grade, when the relay comprehensive aging degree is greater than the third value and less than or equal to the fourth value, the relay state grade is set as a second grade, and when the relay comprehensive aging degree is greater than the fourth value, the relay state grade is set as a third grade.

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