Intelligent management method for electroscope

Abstract

The invention discloses an intelligent management method for an electroscope, and belongs to the field of intelligent management, and the management method comprises the steps: constructing an electroscope performance database and an environment database, and creating a digital twinborn body; when a user selects a use scene, order information is generated according to selection, and the digital twin model calls current specific environment information from the environment database according to the order information and writes the current specific environment information into the electronic tag on the electroscope; an RFID reading module configured on a work site reads an electronic tag configured on an electroscope, and a terminal module updates the use state and position of equipment in real time; coupling variables which can influence each other in the operation process of the electroscope are analyzed, a multivariable coupling problem needing to be solved in the use process is determined, and a non-decoupling control strategy is generated; and the use state of the electroscope is remotely updated according to the decoupling control strategy, and a user is reminded. According to the invention, intelligent management of the electroscope is realized in a mode of combining a plurality of coupling parameters.

Description

Technical Field

[0001] The present invention relates to the field of intelligent management, and in particular to an intelligent management method for an electroscope. Background Art

[0002] The tester is a tool used to detect whether electrical equipment is energized. It is widely used in the power industry and electrical maintenance work. The tester can help workers determine whether electrical equipment or lines are energized to ensure the safety of operation. Common testers include low-voltage testers and high-voltage testers.

[0003] Since the electroscope is an important tool for confirming whether the equipment or line is energized, it is directly related to the life safety of the staff. If the electroscope fails or the reading is inaccurate, it may lead to misoperation and increase the risk of electric shock. Therefore, strict management and maintenance of the electroscope is essential. The electroscope needs to be calibrated and tested regularly to ensure the accuracy of its measurement. In addition, a large number of electroscopes may be used at the power operation site, so they need to be registered and managed to prevent the loss of equipment or delays in maintenance due to insufficient equipment. The traditional electroscope management method is simple and crude, and it is impossible to achieve accurate management of the electroscope. Although there are some tool intelligent management methods now, these management methods mainly adopt control strategies based on single variable or simple multivariable threshold judgment. These management methods fail to deal with the interrelationships and coupling between variables, and there is no intelligent improvement in the management of the electroscope. Moreover, these management systems usually control the working state of the electroscope by setting predefined rules or logic (such as "if the voltage is too high and the temperature is too high, then alarm"). Although multivariable considerations are added, complex coupling problems are not solved, and it is difficult to cope with nonlinear multivariable environments. Therefore, there is an urgent need for an intelligent management system that can be used for electroscopes to help manage the storage and use status of electroscopes. Summary of the invention

[0004] One of the purposes of the present invention is to provide an intelligent management method for an electroscope and to solve the shortcoming of the prior art that there is a lack of effective management of the electroscope.

[0005] The present invention is implemented by the following technical scheme. A method for intelligent management of electroscopes includes the following steps: S100, constructing an electroscope performance database, and using high-precision 3D scanning technology to create a digital twin model for each electroscope, and mapping the information in the electroscope performance database with its digital model, so that the digital twin model can simulate the use status of the device in real time in a virtual environment, and constructing an environmental database for characterizing the use scenario of the target electroscope. The digital twin model, the electroscope performance database and the environmental database together form a background computing terminal for collecting and processing data; S200, the user selects a use scenario on the smart terminal, generates order information according to the selected use scenario, and sends it to the background computing terminal through the smart terminal. The background computing terminal receives the order information sent by the smart terminal, selects different electroscopes according to the order information, and sends it to the smart terminal. The user selects the model and number of electroscopes to be used on the smart terminal, and sends the result of the user's selection to the background computing terminal through the smart terminal. When the background computing terminal receives the electroscope selection request triggered by the smart terminal according to the user, it determines the model and number of the selected electroscopes, and records the use information. At the same time, the background computing terminal retrieves the current electroscope from the environmental database according to the order information. The specific environment information of the use is read and written into the electronic tag on the electroscope; S300, when arriving at the work site, the electronic tag configured on the electroscope is read by the RFID reading module configured at the work site. When the electroscope is scanned, the status, location information, usage record and detailed data of the coupling variables of the electroscope are automatically uploaded to the terminal module through the reader / writer. The terminal module updates the usage status and location of the equipment in real time and sends it to the background computing terminal; S400, the background computing terminal analyzes the mutual influences during the operation of the electroscope according to the information sent by the terminal module and the data in the environmental database written into the electronic tag on the electroscope. The affected coupling variables are identified and the multivariable coupling problems that need to be solved during this use are clarified to generate a non-decoupling control strategy; S500, the background computing terminal remotely updates the use status of the electrometer according to the decoupling control strategy, and reminds the user according to the calculation results of the decoupling control strategy. After use, the user clicks to return the item on the smart terminal. When the background computing terminal receives the item return request sent by the smart terminal, it updates the status of the electrometer to the returned status, and at the same time summarizes and organizes the data of the electrometer, and judges the use of the equipment according to the summarized results to dynamically adjust the maintenance plan of the electrometer, and remind the management personnel to maintain the electrometer.

[0006] Furthermore, the electroscope performance database includes information on the physical characteristics, internal structure, service life, operating specifications, and coupling variables of the electroscope.

[0007] Furthermore, the environment database includes working environment data of the electrician, electrician testing demand data, environmental variables and management objectives.

[0008] Furthermore, the coupling variables of the electroscope are collected based on sensors arranged on the electroscope, and the sensors include voltage sensors, current sensors, humidity sensors and temperature sensors. The coupling variables of the electroscope include input voltage, ambient temperature, humidity, electric field strength, detection sensitivity, power consumption, insulation status, signal interference, and load conditions.

[0009] Furthermore, after receiving the data collected by the electroscope sensor, the terminal module will first clean the collected data to remove noise and outliers, and then send the cleaned data to the digital twin model.

[0010] Furthermore, the data is cleaned using Z-score standardization. Z-score standardization includes: Among them, Z is the output data after standardization, q is the data of the electroscope sensor collected in the terminal module buffer area, μ is the mean of the data in all terminal module buffer areas, σ is the standard deviation of the data, M is the total number of samples of the electroscope sensor data set collected in the terminal module buffer area, q i It is the data value of the i-th sample of the electroscope sensor collected in the buffer area of ​​the terminal module.

[0011] Furthermore, the non-decoupling control strategy includes first using a state equation to describe the dynamic behavior of the electroscope system: the non-decoupling control strategy is disassembled into multiple subsystems, the control of each subsystem depends not only on its local state, but also on information from other subsystems, and a multi-dimensional state vector is used to represent the state of the electroscope. The state equation of the subsystem is: ,in, is the rate of change of the state of the ith subsystem, x i (t) is the state of the subsystem, u i (t) is the control input of the subsystem, z i (t) is the status information transmitted from other subsystems, f i (x i (t), u i (t), z i(t)) is the state equation, which describes the dynamic behavior of subsystem i; the environmental database and real-time data are analyzed through the state equation to quickly identify the coupling relationship between variables. After the coupling relationship between variables is identified, the non-decoupling control strategy is concretized into a collaborative control strategy, so that the actions of each subsystem can affect each other. The collaborative control is achieved by exchanging information, and the control amount is adjusted by information exchange, which is expressed by the collaborative control formula: , where u i (t) is the control input of subsystem i, x i (t) is the state of subsystem i, and is the impact transmitted from subsystem j to subsystem i; is the local control law of subsystem i, which depends on the state of subsystem i. The control input of each subsystem can be given through the collaborative control formula. Then, the cost function of all subsystems is minimized by combining the optimized controller parameters to achieve the global optimum and optimize the overall performance of the entire non-decoupling control strategy. This is achieved by solving the following formula: , ,in, is the cost function of the i-th subsystem, which represents the effect or performance of subsystem i at a certain moment.

[0012] On the other hand, the present invention provides an electroscope intelligent management system, which includes an electroscope module, a database construction module, an intelligent terminal module, an on-site reading module and a background operation module.

[0013] Among them, the database construction module is used to construct the electroscope performance database and the environmental database. The electroscope performance database includes the physical characteristics, internal structure, service life, operating specifications and coupling variable information of a single electroscope. At the same time, high-precision 3D scanning technology is used to create a digital twin model for each electroscope, and the information in the electroscope performance database is mapped with its digital model, so that the digital twin model can simulate the use status of the equipment in real time in a virtual environment. The environmental database includes the working environment data of the electroscope, the electroscope demand data, environmental variables and management goals, which are used to characterize the use scenario of the target electroscope; the intelligent terminal module is configured for users to use the intelligent terminal The user selects the usage scenario on the terminal, generates order information based on the selected usage scenario, and sends it to the background operation module through the smart terminal. The background operation module receives the order information sent by the smart terminal, selects different testers based on the order information, and sends it to the smart terminal. The user selects the model and number of testers to be used on the smart terminal, and sends the result of the user's selection to the background operation module through the smart terminal. When the background operation module receives the tester selection request triggered by the user from the smart terminal, it determines the model and number of the selected testers and records the usage information. At the same time, the background operation module retrieves the specific environment information currently in use from the environment database based on the order information. And write it into the electronic tag on the electroscope; the on-site reading module is configured to read the electronic tag configured on the electroscope through the RFID reading module. After the electroscope is scanned, the specific environmental information in the electronic tag of the electroscope is first verified to see if it matches the on-site situation. When it matches, the status, location information, usage record of the electroscope and the detailed data of the coupling variables of the electroscope are automatically uploaded to the terminal module through the reader / writer. The terminal module updates the usage status and location of the equipment in real time and reflects it in the background operation module. If it does not match, the on-site reading module sends an error message to the background operation module and prompts that the on-site information is wrong; the background operation module is configured to, according to the terminal module The information sent and the data in the environmental database written into the electronic tag on the electroscope are analyzed, the coupling variables that will affect each other during the operation of the electroscope are analyzed, and the multivariable coupling problems that need to be solved during this use are clarified, a non-decoupling control strategy is generated, and the user is reminded according to the calculation results of the decoupling control strategy. After use, the user clicks to return on the smart terminal. When the background operation module receives the item return request sent by the smart terminal, the status of the electroscope is updated to the returned status, and the data of the electroscope is summarized and sorted at the same time. The use of the equipment is judged according to the summarized and sorted results, so as to dynamically adjust the maintenance plan of the electroscope and remind the management personnel to maintain the electroscope.

[0014] Furthermore, the field reading module also includes cleaning the collected data after receiving the data collected by the electroscope sensor, removing noise and outliers, and then sending the cleaned data to the background operation module. The data cleaning uses Z-score standardization to clean the data. Z-score standardization includes: Among them, Z is the output data after standardization, q is the data of the electroscope sensor collected in the terminal module buffer area, μ is the mean of the data in all terminal module buffer areas, σ is the standard deviation of the data, M is the total number of samples of the electroscope sensor data set collected in the terminal module buffer area, q i It is the data value of the i-th sample of the electroscope sensor collected in the buffer area of ​​the terminal module.

[0015] Furthermore, the non-decoupling control strategy in the background operation module includes disassembling the non-decoupling control strategy into multiple subsystems, the control of each subsystem depends not only on its local state, but also on information from other subsystems, and a multi-dimensional state vector is used to represent the state of the electroscope. The state equation of the subsystem is: ,in, is the rate of change of the state of the ith subsystem, x i (t) is the state of the subsystem, u i (t) is the control input of the subsystem, z i (t) is the status information transmitted from other subsystems, f i (x i (t), u i (t),z i (t)) is the state equation, which describes the dynamic behavior of subsystem i; the environmental database and real-time data are analyzed through the state equation to quickly identify the coupling relationship between variables. After the coupling relationship between variables is identified, the non-decoupling control strategy is concretized into a collaborative control strategy, so that the actions of each subsystem can affect each other. The collaborative control is achieved by exchanging information, and the control amount is adjusted by information exchange, which is expressed by the collaborative control formula: , where u i (t) is the control input of subsystem i, x i (t) is the state of subsystem i, and is the impact transmitted from subsystem j to subsystem i; is the local control law of subsystem i, which depends on the state of subsystem i. The control input of each subsystem can be given through the collaborative control formula. Then, the cost function of all subsystems is minimized by combining the optimized controller parameters to achieve the global optimum and optimize the overall performance of the entire non-decoupling control strategy. This is achieved by solving the following formula: , ,in, is the cost function of the i-th subsystem, which represents the effect or performance of subsystem i at a certain moment.

[0016] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0017] 1. The present invention optimizes the coupling variables of multiple electroscopes as a whole through a non-decoupling control algorithm to achieve dynamic coordination and stable control of the system, so that it can handle variable coupling problems in complex environments without the need to manually decompose the variables into independent parts. It also achieves real-time monitoring, adaptive adjustment, and self-learning optimization through sensors arranged on the electroscopes to maintain the optimal performance of the system. This enables the entire intelligent management method to provide better adaptability and stability in the face of complex usage environments, effectively reduce false alarms and malfunctions, and significantly improve the operating efficiency and service life of the equipment.

[0018] 2. The present invention realizes intelligent management of the electroscope by combining RFID tags, site terminals, sensor monitoring and mobile applications. This intelligent management method can monitor the status of the electroscope in an all-round and real-time manner to ensure the safety and reliability of the equipment. At the same time, the automatic uploading and analysis of data can also help managers improve the management efficiency of the equipment and reduce the risk of manual operation errors and equipment damage.

[0019] 3. The present invention uses a non-decoupling control algorithm to handle the complex coupling relationship between multiple variables, which is a problem that is difficult to solve with traditional management methods. In the management of electroscopes, factors such as voltage, temperature, humidity, and vibration often affect each other, and it is difficult to achieve precise regulation effects by controlling a single variable. The introduction of a non-decoupling control algorithm can better coordinate the interactions between the variables, thereby achieving intelligent comprehensive management. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0021] Figure 1 This is a flow chart of the method provided in Example 1 of the present invention. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0023] Embodiment 1: In this embodiment, a method for intelligent management of an electroscope is provided, and the method comprises the following steps:

[0024] Step 1: Collect detailed information on the electroscope's physical characteristics, internal structure, service life, operating specifications, and coupling variables, and build an electroscope performance database. Use high-precision 3D scanning technology to create a digital twin model for each electroscope, and map the information in the electroscope performance database to its digital model, so that the digital twin model can simulate the device's usage status in real time in a virtual environment.

[0025] Specifically, the coupling variables of the electroscope are collected by sensors arranged on the electroscope, such as voltage sensors, current sensors, humidity sensors, and temperature sensors. The coupling variables of the electroscope may include input voltage, ambient temperature, humidity, electric field strength, detection sensitivity, power consumption, insulation state, signal interference, and load conditions. Among them, the input voltage (V in ) directly affects the detection sensitivity and judgment accuracy of the electroscope. Input voltage fluctuations will cause changes in the detection ability of the equipment, especially under low voltage or high voltage conditions, which may affect the accuracy of the detection.

[0026] Ambient temperature is an important factor affecting the performance of the electroscope. Higher temperatures may cause the internal components of the device to overheat, affecting the sensitivity or accuracy of the electronic components; while lower temperatures may cause the device response time to be slower or inaccurate, especially in outdoor working environments where the temperature changes significantly.

[0027] The effect of humidity on electroscopes is reflected in the insulation and electrical performance of the equipment. When the ambient humidity increases, the electrical insulation of the equipment may decrease, resulting in false operation or inaccurate test results. Humidity may also affect the circuit components inside the equipment, increasing the risk of failure.

[0028] Electric field strength. Since electroscopes are usually used to detect the presence of electric fields or voltage, if the electric field strength around the device is high or low, it may interfere with its normal operation. Changes in the electric field will not only affect the detection accuracy of the device, but also cause false alarms or inaccurate sensing.

[0029] Detection sensitivity: The detection sensitivity of the electroscope directly affects its ability to perceive voltage or electric field changes. The detection sensitivity needs to be dynamically adjusted according to different environmental conditions (such as voltage range, temperature, humidity, etc.) to maintain the best detection effect. If it is too sensitive or too slow, the device will have false alarms or missed alarms.

[0030] Power consumption, the power consumption of the electroscope changes with the input voltage and working environment. In low power mode, the response speed and detection accuracy of the device may be affected; while in high power mode, the components of the device may be subjected to excessive heat, affecting life and stability. Therefore, there is a coupling relationship between power consumption and input voltage, temperature and detection sensitivity.

[0031] Insulation state, the insulation performance of the electroscope is crucial to its normal operation. The insulation performance will change with changes in environmental factors such as humidity and temperature. When the humidity rises or the temperature changes too much, the insulation state of the equipment may deteriorate, resulting in malfunction or detection failure.

[0032] Signal interference: In the working environment of the electroscope, the surrounding electromagnetic interference or signals from other devices may affect the normal operation of the electroscope. These interference signals are coupled with the electrical signals detected by the device, which may cause false alarms, reduce detection accuracy, or cause the device to be unable to correctly identify the electric field strength.

[0033] Load conditions. The performance of the tester may be affected by load conditions, such as the operating status of the electrical equipment being tested or changes in load current. High loads may make the equipment more difficult to detect and cause voltage fluctuations, which in turn may affect the tester's judgment.

[0034] In this embodiment, the important coupling variables of these electroscopes are screened and processed. The coupling variables of these electroscopes do not exist independently, but affect each other to form a complex dynamic relationship. For example, the ambient temperature and humidity affect the detection sensitivity and insulation state, while the input voltage is coupled with power consumption, electric field strength, etc. Therefore, in the actual management of the electroscope, in order to achieve accurate management of the electroscope, it is necessary to adopt a non-decoupling control strategy. The non-decoupling control strategy can better cope with the dynamic changes in a complex environment when facing these multi-variable couplings, and ensure the stable and efficient operation of the equipment.

[0035] Step 2: Build an environment database to characterize the current usage scenario of the target electroscope.

[0036] Specifically, building an environmental database may include application scenario data. The application scenario data may include environmental variables that need to be monitored (such as voltage, temperature, humidity, etc.) according to the working environment of the electrical tester (such as power system, factory or smart city) and specific electrical testing needs, as well as management goals (such as improving detection accuracy, reducing energy consumption, remote management, etc.).

[0037] Step 3: The user selects the usage scenario in the environment database on the smart terminal according to the actual usage, generates order information according to the selected usage scenario, and sends it to the background computing system through the smart terminal for calculation. The background computing system receives the order information sent by the smart terminal, selects different electrometers according to the order information, and sends it to the smart terminal for the user to choose. The user selects the electrometer model and number to be used on the smart terminal, and sends the user's selection result to the background computing system through the smart terminal. When the digital twin model receives the electrometer selection request triggered by the user from the smart terminal, it determines the model and number of the selected electrometer and records the usage information. At the same time, the digital twin model retrieves the specific environment information currently in use from the environment database according to the order information and writes it into the electronic tag on the electrometer.

[0038] Step 4: When the electroscope is brought from the warehouse to the work site, the electronic tag configured on the electroscope is read by the RFID reading module of the terminal module configured at the work site. Whenever the electroscope is scanned, the terminal module will first verify whether the environmental information written in the electroscope electronic tag matches the on-site situation. At this time, there will be two results, matching and mismatching. When matching, the verification is passed. At the same time, the status, location information, usage records of the electroscope and the detailed data of the coupling variables of the electroscope will be automatically uploaded to the terminal module through the reader. The terminal module updates the usage status and location of the equipment in real time and reflects it to the background computing system. If it does not match, the on-site reading module sends an error message to the background computing system and prompts that the on-site information is wrong. The background computing system sends the error message to the smart terminal. After receiving the error message, the user can check through the smart terminal whether the electroscope meets the requirements for this work. This prevents safety accidents caused by the incorrect use of electroscopes of different specifications.

[0039] After verification, the terminal module configured at the work site will automatically upload the status, location information, usage records and detailed information of the coupling variables of the electroscope to the terminal module through the reader. The terminal module updates the usage status and location of the equipment in real time and reflects it to the background computing system. When in use, the sensors configured on the electroscope will collect corresponding data and send the collected information to the background computing system in real time through the terminal module. Specifically, the sensors can include voltage sensors, current sensors, humidity sensors and temperature sensors.

[0040] Specifically, after receiving the data collected by the electroscope sensor, the terminal module will first clean the collected data to remove noise and outliers. Then the cleaned data will be sent to the digital twin model for subsequent analysis and query.

[0041] In this embodiment, Z-score standardization is used to standardize the data in the buffer area. Z-score standardization includes:

[0042]

[0043]

[0044]

[0045] Among them, Z is the output data after standardization, q is the data of the electroscope sensor collected in the terminal module buffer area, μ is the mean of the data in all terminal module buffer areas, σ is the standard deviation of the data, M is the total number of samples of the electroscope sensor data set collected in the terminal module buffer area, q i It is the data value of the i-th sample of the electroscope sensor collected in the buffer area of ​​the terminal module.

[0046] Specifically, in this implementation, for a certain data set collected (such as voltage, temperature, and vibration data), its mean μ and standard deviation σ are first calculated. Then, for each data point x in the data set, its Z-score is calculated using the formula described above, and then outliers are identified. Usually, data points with an absolute value of Z-score exceeding 3 are considered outliers (i.e., the part that is more than 3 standard deviations away from the mean in a normal distribution). At this time, a threshold can be set. For example, when |z|>3, the data point is considered to be an outlier. The threshold can also be adjusted according to actual conditions. For example, set |z|>2.5 or |z|>4 to mark outliers.

[0047] For example, applying Z-score normalization to a voltage dataset of an electroscope may include the following: 1 ,x 2 ,…,x n , first calculate the mean value μ of the voltage data voltage and standard deviation σ voltage Then for each voltage value x i calculate When |zi|>3, the voltage value is considered an outlier. For the identified outliers, you can choose to remove them or replace them with reasonable values ​​such as the mean or median to reduce the impact of data fluctuations on the analysis results.

[0048] It should be noted that Z-score standardization can automatically identify abnormal values ​​compared with other data points, which is very suitable for cleaning large-scale data such as sensor data. And the data after Z-score standardization removes unit differences, which is convenient for comparison with other variables. It has a great beneficial effect on the subsequent calculation of non-decoupling control strategies. For example, in non-decoupling control algorithms, there is a coupling relationship between multiple variables (such as voltage, temperature, vibration, etc.), and Z-score standardization can convert these variables to the same scale and distribution, thereby reducing the inconsistency they bring in the control process. After standardization, the control algorithm does not have to be disturbed by the dimensional differences of different variables, so that the appropriate feedback gain matrix K can be calculated more accurately, thereby improving the control accuracy. Since the non-decoupling control strategy needs to jointly optimize multiple variables when designing the feedback gain matrix K. Before the data is standardized, the different dimensions and ranges of each variable may make it difficult to coordinate the control of the system. After Z-score standardization, the mean of all variables is 0 and the standard deviation is 1, which not only makes the variables have a consistent scale, but also allows each variable to contribute similar weights in the feedback matrix design, which is convenient for optimizing the overall configuration of the gain matrix.

[0049] Step 5:

[0050] Based on the information sent by the terminal module and the data in the environmental database written into the electronic tag on the electroscope, the background computing system analyzes the coupled variables that affect each other during the operation of the electroscope (such as ambient temperature and humidity, voltage fluctuations and detection sensitivity), clarifies the multivariable coupling problems that need to be solved during this use, and generates a non-decoupling control strategy.

[0051] Specifically, non-decoupling control strategies include:

[0052] First, the operating state of the electroscope must be modeled, especially the coupling variables that may exist in the system. These coupling variables can come from multiple sources, such as: environmental data (temperature, humidity, etc.); the electroscope's own electrical variables such as current, voltage, frequency, etc.; the interaction between the electroscope and other systems (such as communication delays, resource sharing).

[0053] In the non-decoupled control strategy, the entire control strategy needs to be decomposed into multiple subsystems. The control of each subsystem depends not only on its local state, but also on the information from other subsystems.

[0054] Assume that the state of the electroscope can be represented by a multidimensional state vector, which is denoted by X i (t), where i is the subsystem index and t is time. The state equation of each subsystem can be written as:

[0055] ,

[0056] in, is the rate of change of the state of the ith subsystem, that is, the derivative of the state variable with respect to time; x i (t) is the state of the subsystem, u i (t) is the control input of the subsystem, z i (t) is the status information transmitted from other subsystems, f i (x i (t), u i (t), z i (t)) is the state equation, which describes the dynamic behavior of subsystem i.

[0057] It should be noted that the specific form of the state equation can be fitted and estimated through a machine learning model (e.g., a neural network), and the specific state equation can be obtained by training and fitting historical data through the neural network.

[0058] By describing the dynamic behavior of the system through the state equations of the subsystems, we can analyze how each subsystem changes over time, and by observing the states of multiple subsystems, we can infer which variables have coupling relationships.

[0059] For example, if subsystem i is affected by other subsystem j, then z i (t) is the state of other subsystems (such as x j (t)). If there is a strong coupling relationship between the subsystems, then the state changes of the two are no longer completely independent. In this case, x i (t) and x j The mutual dependence between (t) indicates the coupling between them. By identifying the parts of the state equations of multiple subsystems that affect each other, the coupling variables can be obtained. For example, if the current change of subsystem i is affected by the voltage of subsystem j, then the current and voltage are coupling variables.

[0060] Through the analysis of the environmental database and real-time data using the above state equation, it is possible to quickly identify which variables have coupling relationships.

[0061] After identifying the coupled variables in the system, the non-decoupling control strategy can be concretized into a collaborative control strategy so that the actions of each subsystem can influence each other, thereby solving the coupling problem.

[0062] Cooperative control can be achieved by exchanging information, and the control quantity can be adjusted through information exchange. This coupling can be expressed by a system of simultaneous equations as shown below:

[0063] ,

[0064] Among them, u i (t) is the control input of subsystem i, x i (t) is the state of subsystem i, is the impact transmitted from subsystem j to subsystem i, is the local control law of subsystem i, which only depends on the state of subsystem i. That is, it is a local control input without considering the influence of other subsystems.

[0065] When the collaborative control formula gives the control input of each subsystem, the overall performance of the system can be optimized by combining the optimized controller parameters. Specifically, the overall performance of the system can be optimized by adjusting the parameters of the local controller according to the coupling relationship of the system. This process can be achieved by solving the following optimization problem:

[0066] ,

[0067] ,

[0068] in, is the performance index (or cost function) of the ith subsystem, which indicates the control effect or performance of subsystem i at a certain moment. The cost functions of all subsystems are minimized through the above formula to achieve the global optimum.

[0069] Through the above steps, after analyzing the coupling relationship, coordinated control is achieved through information exchange; finally, the control strategy is adjusted through optimization and real-time feedback to ensure that the system can effectively cope with multivariable coupling problems during operation.

[0070] Under the non-decoupling control strategy of this embodiment, when the tester is abnormal, the cause of the fault can be quickly diagnosed. For example, when the voltage fluctuates greatly and the temperature is too high, the system will take cooling measures first instead of adjusting the voltage alone, thereby reducing the impact of the fault.

[0071] For example, suppose a key component of the electroscope, the current sensor, fails. This current sensor transmits the measured current information to multiple subsystems in the control system. If the sensor fails, it may cause abnormal current measurements, which may cause response deviations in multiple subsystems. When the current sensor fails and causes abnormal measurements, the state equation Anomalies will occur because the actual current does not match the current reported by the sensor. This deviation will be monitored and trigger a fault alarm. Through the information exchange in collaborative control, the control inputs of each subsystem will be adjusted according to the abnormal changes in the current. For example, other subsystems may adjust their outputs according to the abnormal current value, resulting in changes in the voltage, temperature and other states. By analyzing these changes, the root cause of the current anomaly can be quickly identified and the faulty component can be determined to be the current sensor. Finally, through the solution of the optimization problem, the system will find abnormal control inputs during the optimization process. For example, the optimized control input should be stable, but due to the failure of the current sensor, the optimized control input has changed significantly. This deviation can be reversed to deduce that the fault may occur in the current sensor. In other words, through the monitoring of the states of each subsystem, the analysis of the coupling relationship, the information exchange and the reverse deduction of the optimal control by the non-decoupling control strategy, the anomaly can be quickly detected, the location of the fault can be located, and the collaborative control mechanism can be quickly adjusted to achieve fault diagnosis.

[0072] It should be noted that in the control strategy of the electroscope, the non-decoupling algorithm can also comprehensively consider the linkage of multiple variables. For example: the voltage data detected by the sensor can be used to adjust the voltage, and the accuracy of the electroscope detection can be ensured by controlling the voltage. By real-time monitoring of the temperature data of the temperature sensor of the electroscope, the temperature can be managed to avoid errors or damage caused by overheating. The vibration condition can also be judged by the sensor data, and the steady-state performance of the electroscope can be adjusted according to the stability condition to improve its working stability.

[0073] Therefore, through the non-decoupling control algorithm, the electroscope can achieve precise control under complex coupling relationships, ensuring its stability and safety under different working conditions. The advantage of this method is that it comprehensively controls the coupling relationship of multiple variables such as voltage, temperature, and vibration to ensure efficient and stable operation of the electroscope.

[0074] Step 6:

[0075] The background computing system remotely updates the usage status of the electroscope according to the decoupling control strategy, and reminds the user according to the calculation results of the decoupling control strategy. After use, the user clicks to return the item on the smart terminal. When the background computing system receives the item return request sent by the smart terminal, it updates the status of the electroscope to the returned status and summarizes the data of the electroscope at the same time. And according to the summarized results, the usage of the equipment is judged to dynamically adjust the maintenance plan of the electroscope, and remind the management personnel to maintain the electroscope.

[0076] Embodiment 2: In this embodiment, an intelligent management system for an electroscope is provided, the system comprising:

[0077] Electrometer module, database construction module, intelligent terminal module, on-site reading module and background calculation module.

[0078] The electroscope module includes an electroscope body and sensors and RFID tags installed on the electroscope body. The sensors include a voltage sensor, a current sensor, a humidity sensor and a temperature sensor.

[0079] The database construction module is connected to the background operation module and is used to construct the electroscope performance database and the environmental database. The electroscope performance database includes the physical properties, internal structure, service life, operating specifications and coupling variables of a single electroscope. At the same time, high-precision 3D scanning technology is used to create a digital twin for each electroscope, and the information in the electroscope performance database is mapped with its digital model, so that the digital twin model can simulate the usage status of the equipment in real time in a virtual environment.

[0080] The environment database includes working environment data of the tester, test demand data, environmental variables and management goals, and is used to characterize the use scenario of the target tester.

[0081] The smart terminal module is connected to the background operation module, and is configured so that the user selects a usage scenario on the smart terminal, generates order information according to the selected usage scenario, and sends it to the background operation module through the smart terminal. The background operation module receives the order information sent by the smart terminal, selects different electrometers according to the order information, and sends them to the smart terminal. The user selects the electrometer model and number to be used on the smart terminal, and the result of the user's selection is sent to the background operation module through the smart terminal. When the background operation module receives the electrometer selection request triggered by the user from the smart terminal, it determines the model and number of the selected electrometer, and records the usage information. At the same time, the background operation module retrieves the specific environment information currently in use from the environment database according to the order information, and writes it into the electronic tag on the electrometer.

[0082] The on-site reading module is connected to the background operation module and is configured to read the electronic tag configured on the electrometer through the RFID reading module. After the electrometer is scanned, the specific environmental information in the electronic tag of the electrometer is first verified to see if it matches the on-site situation. If it matches, the status, location information, usage records and detailed data of the coupling variables of the electrometer will be automatically uploaded to the terminal module through the reader / writer. The terminal module updates the usage status and location of the equipment in real time and reflects it in the digital twin model. If it does not match, the on-site reading module will send an error message to the background operation module, indicating that the on-site information is wrong.

[0083] Specifically, the on-site reading module also includes cleaning the collected data after receiving it from the electroscope sensor, removing noise and outliers, and then sending the cleaned data to the background operation module.

[0084] The data is cleaned by using Z-score standardization to clean the data. Z-score standardization includes:

[0085] ,

[0086] ,

[0087] ;

[0088] Among them, Z is the output data after standardization, q is the data of the electroscope sensor collected in the terminal module buffer area, μ is the mean of the data in all terminal module buffer areas, σ is the standard deviation of the data, M is the total number of samples of the electroscope sensor data set collected in the terminal module buffer area, q i It is the data value of the i-th sample of the electroscope sensor collected in the buffer area of ​​the terminal module.

[0089] The background operation module is configured to analyze the coupling variables that will affect each other during the operation of the electroscope according to the information sent by the terminal module and the data in the environmental database written in the electronic tag on the electroscope, clarify the multivariable coupling problems that need to be solved during this use, generate a non-decoupling control strategy, and remind the user according to the calculation results of the decoupling control strategy.

[0090] Specifically, the non-decoupling control strategies in the background operation module include:

[0091] The non-decoupling control strategy is decomposed into multiple subsystems. The control of each subsystem depends not only on its local state but also on the information from other subsystems. The state of the electroscope is represented by a multidimensional state vector. The state equation of the subsystem is:

[0092] ,

[0093] in, is the rate of change of the state of the ith subsystem, that is, the derivative of the state variable with respect to time, x i (t) is the state of the subsystem, u i (t) is the control input of the subsystem, z i (t) is the status information transmitted from other subsystems, f i (x i (t), u i (t), z i(t)) is the state equation, which describes the dynamic behavior of subsystem i;

[0094] The state equation is used to analyze the environmental database and real-time data, and the coupling relationship between variables is quickly identified. After the coupling relationship between variables is identified, the non-decoupling control strategy is concretized into a collaborative control strategy, so that the actions of each subsystem can affect each other.

[0095] Collaborative control is achieved by exchanging information, and the control amount is adjusted through information exchange, which is expressed by the collaborative control formula:

[0096] ,

[0097] Among them, u i (t) is the control input of subsystem i, x i (t) is the state of subsystem i, and is the impact transmitted from subsystem j to subsystem i. is the local control law of subsystem i, which depends on the state of subsystem i,

[0098] The control input of each subsystem can be given by the collaborative control formula, and then combined with

[0099] Optimize the controller parameters and minimize the cost functions of all subsystems to achieve global optimality and optimize the overall performance of the entire non-decoupling control strategy. This is achieved by solving the following formula:

[0100] ,

[0101] ,

[0102] in, is the cost function of the i-th subsystem, which represents the effect or performance of subsystem i at a certain moment.

[0103] Under the non-decoupling control strategy, when the tester has an abnormality, the cause of the fault can be quickly diagnosed and sent to the smart terminal to remind the user.

[0104] After use, the user clicks return on the smart terminal. When the digital twin model receives the item return request sent by the smart terminal, it updates the status of the electrometer to the returned status, and at the same time summarizes and organizes the data of the electrometer. The usage of the equipment is judged based on the summarized results, and the maintenance plan of the electrometer is dynamically adjusted to remind managers to maintain the electrometer.

[0105] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for intelligent management of an electroscope, characterized in that: The intelligent management method comprises: S100, constructing an electroscope performance database, and using high-precision 3D scanning technology to create a digital twin model for each electroscope, and mapping the information in the electroscope performance database with its digital model, so that the digital twin model can simulate the use status of the device in real time in a virtual environment, and construct an environmental database for characterizing the use scenario of the target electroscope, and the digital twin model, the electroscope performance database and the environmental database together form a backend computing terminal for collecting and processing data; S200, the user selects a usage scenario on the smart terminal, generates order information according to the selected usage scenario, and sends it to the background computing terminal through the smart terminal. The background computing terminal receives the order information sent by the smart terminal, selects different electrometers according to the order information, and sends them to the smart terminal. The user selects the electrometer model and number to be used on the smart terminal, and sends the result of the user's selection to the background computing terminal through the smart terminal. When the background computing terminal receives the electrometer selection request triggered by the user from the smart terminal, it determines the model and number of the selected electrometer, and records the usage information. At the same time, the background computing terminal retrieves the specific environment information currently in use from the environment database according to the order information, and writes it into the electronic tag on the electrometer. S300, when arriving at the work site, the electronic tag configured on the electroscope is read by the RFID reading module of the terminal module configured at the work site. After the electroscope is scanned, the status, location information, usage record and detailed data of the coupling variables of the electroscope are automatically uploaded to the terminal module through the reader / writer. The terminal module updates the usage status and location of the equipment in real time and sends them to the background computing terminal; S400, the background computing terminal analyzes the coupling variables that affect each other during the operation of the electroscope according to the information sent by the terminal module and the data in the environment database written in the electronic tag on the electroscope, clarifies the multivariable coupling problem that needs to be solved during this use, and generates a non-decoupling control strategy; S500. The background computing terminal remotely updates the usage status of the electric tester according to the decoupling control strategy, and reminds the user according to the calculation result of the decoupling control strategy. After use, the user clicks to return the item on the smart terminal. When the background computing terminal receives the item return request sent by the smart terminal, it updates the status of the electric tester to the returned status, and summarizes and organizes the data of the electric tester at the same time. It judges the usage of the equipment according to the summarized and organized results, thereby dynamically adjusting the maintenance plan of the electric tester and reminding the management personnel to maintain the electric tester.

2. The electroscope intelligent management method according to claim 1, characterized in that: The electroscope performance database includes information on the physical characteristics, internal structure, service life, operating specifications and coupling variables of the electroscope; The environmental database includes working environment data of the electrician, electrician testing demand data, environmental variables and management objectives.

3. The intelligent management method of electroscope according to claim 2, characterized in that: The coupling variables of the electroscope are collected based on sensors arranged on the electroscope, and the sensors include: voltage sensor, current sensor, humidity sensor and temperature sensor. The coupling variables of the electroscope include: input voltage, ambient temperature, humidity, electric field strength, detection sensitivity, power consumption, insulation state, signal interference and load conditions.

4. The electroscope intelligent management method according to claim 1, characterized in that: After receiving the data collected by the electroscope sensor, the terminal module will first clean the collected data to remove noise and abnormal values, and then send the cleaned data to the background calculation terminal.

5. The electroscope intelligent management method according to claim 4, characterized in that: The data is cleaned by using Z-score standardization to clean the data. Z-score standardization includes: ， ， ， Among them, Z is the output data after standardization, q is the data of the electroscope sensor collected in the terminal module buffer area, μ is the mean of the data in all terminal module buffer areas, σ is the standard deviation of the data, M is the total number of samples of the electroscope sensor data set collected in the terminal module buffer area, q i It is the data value of the i-th sample of the electroscope sensor collected in the buffer area of ​​the terminal module.

6. The electroscope intelligent management method according to claim 1, characterized in that: The non-decoupling control strategy includes: The non-decoupling control strategy is decomposed into multiple subsystems. The control of each subsystem depends not only on its local state but also on the information from other subsystems. The state of the electroscope is represented by a multidimensional state vector. The state equation of the subsystem is: ， in, is the rate of change of the state of the ith subsystem, x i (t) is the state of the subsystem, u i (t) is the control input of the subsystem, z i (t) is the status information transmitted from other subsystems, f i (x i (t), u i (t), z i (t)) is the state equation, which describes the dynamic behavior of subsystem i; The state equation is used to analyze the environmental database and real-time data, and the coupling relationship between variables is quickly identified. After the coupling relationship between variables is identified, the non-decoupling control strategy is concretized into a collaborative control strategy, so that the actions of each subsystem can affect each other. Collaborative control is achieved by exchanging information, and the control amount is adjusted through information exchange, which is expressed by the collaborative control formula: ， Among them, u i (t) is the control input of subsystem i, x i (t) is the state of subsystem i, and is the impact transmitted from subsystem j to subsystem i; is the local control law of subsystem i, which depends on the state of subsystem i, The collaborative control formula can be used to give the control input of each subsystem, and then combined with the optimized controller parameters to minimize the cost function of all subsystems, thereby achieving global optimality and optimizing the overall performance of the entire non-decoupling control strategy. This is achieved by solving the following formula: ， ， in, is the cost function of the i-th subsystem, which represents the effect or performance of subsystem i at a certain moment.

7. An intelligent management system for electroscopes, characterized in that: The intelligent management system comprises: Electrometer module, database construction module, intelligent terminal module, on-site reading module and background operation module, among which, The electroscope module consists of an electroscope body, a sensor installed on the electroscope body, and an RFID tag. The database construction module is used to build the electroscope performance database and the environmental database. The electroscope performance database includes the physical characteristics, internal structure, service life, operating specifications and coupling variables of a single electroscope. At the same time, high-precision 3D scanning technology is used to create a digital twin model for each electroscope, and the information in the electroscope performance database is mapped with its digital model, so that the digital twin model can simulate the use status of the equipment in real time in a virtual environment. The environmental database includes working environment data of the electrometer, electrometer demand data, environmental variables, and management goals, which are used to characterize the usage scenarios of the target electrometer; The smart terminal module is configured so that the user selects a usage scenario on the smart terminal, generates order information according to the selected usage scenario, and sends it to the background operation module through the smart terminal. The background operation module receives the order information sent by the smart terminal, selects different electrometers according to the order information, and sends them to the smart terminal. The user selects the electrometer model and number to be used on the smart terminal, and sends the result of the user's selection to the background operation module through the smart terminal. When the background operation module receives the electrometer selection request triggered by the user from the smart terminal, it determines the model and number of the selected electrometer and records the usage information. At the same time, the background operation module retrieves the specific environment information currently in use from the environment database according to the order information, and writes it into the electronic tag on the electrometer. The on-site reading module is configured to read the electronic tag configured on the electroscope through the RFID reading module. After the electroscope is scanned, the specific environmental information in the electronic tag of the electroscope is first verified to see whether it matches the on-site situation. If it matches, the status, location information, usage record and detailed data of the coupling variables of the electroscope are automatically uploaded to the terminal module through the reader / writer. The terminal module updates the usage status and location of the device in real time and reflects it in the background operation module. If it does not match, the on-site reading module sends an error message to the background operation module and prompts that the on-site information is wrong. The background operation module is configured to analyze the coupling variables that will affect each other during the operation of the electrometer and clarify the multivariable coupling problems that need to be solved during this use, generate a non-decoupling control strategy, and remind the user according to the calculation results of the decoupling control strategy. After use, the user clicks to return the item on the smart terminal. When the background operation module receives the item return request sent by the smart terminal, it updates the status of the electrometer to the returned status, summarizes and organizes the data of the electrometer at the same time, and judges the usage of the equipment according to the summarized results to dynamically adjust the maintenance plan of the electrometer, and remind the management personnel to maintain the electrometer.

8. The intelligent management system for electroscopes according to claim 7, characterized in that: The on-site reading module also includes cleaning the collected data after receiving the data collected by the electroscope sensor, removing noise and abnormal values, and then sending the cleaned data to the background operation module. The data is cleaned by using Z-score standardization to clean the data. Z-score standardization includes: ， ， ， Among them, Z is the output data after standardization, q is the data of the electroscope sensor collected in the terminal module buffer area, μ is the mean of the data in all terminal module buffer areas, σ is the standard deviation of the data, M is the total number of samples of the electroscope sensor data set collected in the terminal module buffer area, q i It is the data value of the i-th sample of the electroscope sensor collected in the buffer area of ​​the terminal module.

9. The intelligent management system for electroscopes according to claim 7, characterized in that: The non-decoupling control strategy in the background operation module includes: The non-decoupling control strategy is decomposed into multiple subsystems. The control of each subsystem depends not only on its local state but also on the information from other subsystems. The state of the electroscope is represented by a multidimensional state vector. The state equation of the subsystem is: ， in, is the rate of change of the state of the ith subsystem, x i (t) is the state of the subsystem, u i (t) is the control input of the subsystem, z i (t) is the status information transmitted from other subsystems, f i (x i (t), u i (t), z i (t)) is the state equation, which describes the dynamic behavior of subsystem i; The state equation is used to analyze the environmental database and real-time data, and the coupling relationship between variables is quickly identified. After the coupling relationship between variables is identified, the non-decoupling control strategy is concretized into a collaborative control strategy, so that the actions of each subsystem can affect each other. Collaborative control is achieved by exchanging information, and the control amount is adjusted through information exchange, which is expressed by the collaborative control formula: ， Among them, u i (t) is the control input of subsystem i, x i (t) is the state of subsystem i, and is the impact transmitted from subsystem j to subsystem i; is the local control law of subsystem i, which depends on the state of subsystem i, The collaborative control formula can be used to give the control input of each subsystem, and then combined with the optimized controller parameters to minimize the cost function of all subsystems, thereby achieving global optimality and optimizing the overall performance of the entire non-decoupling control strategy. This is achieved by solving the following formula: ， ， in, is the cost function of the i-th subsystem, which represents the effect or performance of subsystem i at a certain moment.

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