Mobile simulation circuit breaker device and method

Abstract

The invention relates to the technical field of relay protection field debugging and verification loop transmission, provides a mobile simulation circuit breaker device and method, and aims at solving the problems that in a traditional transmission test, a special switch is complex in operation and time-consuming, and the efficiency is affected. The device comprises a 9V battery, a 48V indicating lamp and a control device, is powered by the series battery and simulates the state of the circuit breaker. The control device is internally provided with a data acquisition module, a data processing module, a control signal processing module, a simulation action execution module and a data analysis module, utilizes a neural network model to predict breaker behaviors, receives maintenance tasks, simulates jump actions, and compares feedback results with expected data to evaluate errors. According to the method, the operation process is simplified, the overhaul efficiency is improved, the cost is reduced, the system stability is enhanced, and an efficient and convenient solution is provided for maintenance and overhaul of a power system.

Description

Technical Field

[0001] The invention relates to the technical field of relay protection on-site debugging and verification circuit transmission, and in particular to a mobile simulated circuit breaker device and method. Background Art

[0002] During the maintenance and overhaul of the power system, the transmission test of the generator-transformer group protection is a link to ensure the safe and reliable operation of the equipment. However, the traditional transmission test method has many challenges and shortcomings, especially when the circuit breaker is frequently tripped and closed, which not only causes significant mechanical and electrical wear to the circuit breaker, shortening its service life, but also increases maintenance costs and failure risks. In addition, for special switches, such as trip bus switches and start failure protection switches, since special switches cannot be directly operated in actual transmission, they need to be verified by removing the wires and using a multimeter to measure the outlet. This process is not only cumbersome and complicated, requiring multiple staff members to work together, but also time-consuming, which seriously affects the overhaul efficiency and the stable operation of the power system.

[0003] Although analog circuit breaker products are available on the market, their high prices often make many power companies and maintenance teams reluctant to buy them. Especially when large-scale deployment is required, the economic cost becomes a constraint that cannot be ignored. Therefore, it is particularly important to find an economical and efficient analog circuit breaker solution. Summary of the invention

[0004] In view of the above technical problems, the present invention provides a mobile simulated circuit breaker device and method, which are used to solve the problem that special switches cannot be directly operated in actual transmission and need to be verified by removing wires and using a multimeter to measure the outlet. This process is not only cumbersome and complicated, requiring the collaboration of multiple staff members, but also time-consuming, which seriously affects the maintenance efficiency and the stable operation of the power system.

[0005] In a first aspect, the present invention provides a mobile simulated circuit breaker device and method, including: a 9V battery, a 48V indicator light, and a control device, the control device is electrically connected to the 9V battery and the 48V indicator light respectively, and multiple 9V batteries are connected in series. The control device detects the working voltage. When the working voltage reaches 48V, the control device starts the 48V indicator light to light up. The control device includes:

[0006] A data acquisition module is used to acquire historical data of the circuit breaker device, the historical data of the circuit breaker device includes control signal historical data, simulation action historical data, state feedback historical data, test parameter historical data, fault historical data and environmental historical data;

[0007] A data processing module is used to train a neural network model using historical data of the circuit breaker device to obtain a simulation model of the mobile simulated circuit breaker device, receive a maintenance task, substitute the maintenance task into the simulation model of the mobile simulated circuit breaker device, and obtain expected data of the mobile simulated circuit breaker device;

[0008] A control signal processing module is used to receive the control signal of the generator-transformer group protection system, the control signal of the generator-transformer group protection system includes a closing command and a tripping command, decode the control signal of the generator-transformer group protection system, obtain control signal parameter data, and transmit the control signal parameter data to the simulation action execution module;

[0009] The simulation action execution module is used to transmit the control signal parameter data to the internal electronic components of the simulated circuit breaker device. After the generator-transformer group protection device receives the control signal parameter data, it simulates the tripping and closing action of the circuit breaker;

[0010] The data analysis module is used to receive feedback data from the generator-transformer group protection device after simulating the circuit breaker tripping action, compare the feedback data from the generator-transformer group protection device with the expected data of the mobile simulated circuit breaker device, obtain the test results, which include the operation error data of the simulated circuit breaker device, transmit the test results to the display device, the display device is used to display the test results, and receive the test parameters set by the operator, and transmit the test parameters set by the operator to the data processing module.

[0011] Furthermore, in the mobile simulated circuit breaker device described in the present invention, the data processing module is also used for:

[0012] Preprocessing the historical data of the circuit breaker device, and dividing the preprocessed historical data of the circuit breaker device into a training set and a validation set;

[0013] The neural network model is iteratively trained using the training set data, and the weights and biases are adjusted through the back propagation algorithm to minimize the prediction error. During the training process, the model is regularly verified using the validation set data. When the performance of the model on the validation set reaches a preset qualified value, the training is stopped to obtain a simulation model of a mobile simulated circuit breaker device.

[0014] Receive maintenance tasks, including maintenance type, circuit breaker model and working environment;

[0015] The maintenance task information is substituted into the trained neural network model, and forward propagation calculation is performed to obtain the expected data of the mobile simulated circuit breaker device. The expected data of the mobile simulated circuit breaker device includes the expected tripping action time and state feedback.

[0016] Furthermore, in the mobile simulated circuit breaker device of the present invention, the simulated action execution module is also used for:

[0017] receiving decoded control signal parameter data from the control signal processing module, wherein the decoded control signal parameter data includes parameters of a closing command or a tripping command issued by the generator-transformer group protection system;

[0018] Parse the received control signal parameter data to confirm the instruction type, action time parameters and delay parameters. The instruction type includes closing or tripping.

[0019] According to the analysis result, the control signal parameter data is converted into an instruction format executable by the simulation action execution module, and the corresponding simulation action is prepared according to the instruction type. The corresponding simulation action includes preparing an action of simulating circuit breaker closing for the closing instruction and preparing an action of simulating circuit breaker tripping for the tripping instruction;

[0020] Check the status of the simulated circuit breaker device, and control the mechanical or electronic components inside the simulated circuit breaker device according to the prepared simulated action to simulate the actual tripping and closing action of the circuit breaker;

[0021] During the simulation action execution process, control the on and off of the indicator light to simulate the state change of the circuit breaker, confirm that the simulation action has been completed according to the instruction requirements, and check whether the state of the simulated circuit breaker device is consistent with the state required by the instruction;

[0022] Generate a feedback signal after the simulation action is completed. The feedback signal after the simulation action is completed includes the execution result and status information of the simulation action. The feedback signal is transmitted to the data analysis module. After the simulation action is completed, the simulation action execution module enters a waiting state, receives the next control signal parameter data and executes the corresponding simulation action.

[0023] Furthermore, in the mobile simulated circuit breaker device of the present invention, the data analysis module is also used for:

[0024] Receiving actual feedback data after the simulated circuit breaker tripping and closing action, the actual feedback data after the simulated circuit breaker tripping and closing action includes the actual state of the circuit breaker, the action time, and the current and voltage changes;

[0025] Obtaining expected data of the mobile simulated circuit breaker device predicted based on the neural network model from the data processing module, comparing the actual feedback data with the expected data item by item, and calculating the error index for quantifying the operation error of the simulated circuit breaker device;

[0026] Based on data comparison and error indicators, a test result report is generated and transmitted to a display device.

[0027] In a second aspect, the present invention provides a mobile simulated circuit breaker method, which is applied to the mobile simulated circuit breaker device, comprising:

[0028] Step S101, obtaining historical data of a circuit breaker device, the historical data of the circuit breaker device including control signal historical data, simulation action historical data, state feedback historical data, test parameter historical data, fault historical data and environment historical data;

[0029] Step S102, using the historical data of the circuit breaker device to train the neural network model, obtain a simulation model of the mobile simulated circuit breaker device, receive the maintenance task, substitute the maintenance task into the simulation model of the mobile simulated circuit breaker device, and obtain the expected data of the mobile simulated circuit breaker device;

[0030] Step S103, receiving a control signal of the generator-transformer group protection system, the control signal of the generator-transformer group protection system including a closing command and a tripping command, decoding the control signal of the generator-transformer group protection system to obtain control signal parameter data, and transmitting the control signal parameter data to step S104;

[0031] Step S104, transmitting the control signal parameter data to the electronic components inside the simulated circuit breaker device, and after the generator-transformer group protection device receives the control signal parameter data, simulating the tripping and closing action of the circuit breaker;

[0032] Step S105, after the simulated circuit breaker tripping action, feedback data from the generator-transformer group protection device is received, the feedback data from the generator-transformer group protection device is compared with the expected data of the mobile simulated circuit breaker device to obtain a test result, the test result includes the operation error data of the simulated circuit breaker device, the test result is transmitted to a display device, the display device is used to display the test result, and the test parameters set by the operator are received, and the test parameters set by the operator are transmitted to step S102.

[0033] Furthermore, in the mobile simulated circuit breaker method described in the present invention, step S102 includes:

[0034] Preprocessing the historical data of the circuit breaker device, and dividing the preprocessed historical data of the circuit breaker device into a training set and a validation set;

[0035] The neural network model is iteratively trained using the training set data, and the weights and biases are adjusted through the back propagation algorithm to minimize the prediction error. During the training process, the model is regularly verified using the validation set data. When the performance of the model on the validation set reaches a preset qualified value, the training is stopped to obtain a simulation model of a mobile simulated circuit breaker device.

[0036] Receive maintenance tasks, including maintenance type, circuit breaker model and working environment;

[0037] The maintenance task information is substituted into the trained neural network model, and forward propagation calculation is performed to obtain the expected data of the mobile simulated circuit breaker device. The expected data of the mobile simulated circuit breaker device includes the expected tripping action time and state feedback.

[0038] Furthermore, in the mobile simulated circuit breaker method described in the present invention, step S104 includes:

[0039] Receiving the decoded control signal parameter data from step S103, the decoded control signal parameter data including the parameters of the closing command or the tripping command issued by the generator-transformer group protection system;

[0040] Parse the received control signal parameter data to confirm the instruction type, action time parameters and delay parameters. The instruction type includes closing or tripping.

[0041] According to the analysis result, the control signal parameter data is converted into an executable instruction format in step S104, and a corresponding simulation action is prepared according to the instruction type. The corresponding simulation action includes preparing an action of simulating circuit breaker closing for a closing instruction and preparing an action of simulating circuit breaker tripping for a tripping instruction;

[0042] Check the status of the simulated circuit breaker device, and control the mechanical or electronic components inside the simulated circuit breaker device according to the prepared simulated action to simulate the actual tripping and closing action of the circuit breaker;

[0043] During the simulation action execution process, control the on and off of the indicator light to simulate the state change of the circuit breaker, confirm that the simulation action has been completed according to the instruction requirements, and check whether the state of the simulated circuit breaker device is consistent with the state required by the instruction;

[0044] Generate a feedback signal after the simulation action is completed. The feedback signal after the simulation action is completed includes the execution result and status information of the simulation action. The feedback signal is transmitted to step S105. After the simulation action is completed, step S104 enters a waiting state, receives the next control signal parameter data and executes the corresponding simulation action.

[0045] Furthermore, in the mobile simulated circuit breaker method described in the present invention, step S105 includes:

[0046] Receiving actual feedback data after the simulated circuit breaker tripping and closing action, the actual feedback data after the simulated circuit breaker tripping and closing action includes the actual state of the circuit breaker, the action time, and the current and voltage changes;

[0047] Obtaining expected data of the mobile simulated circuit breaker device predicted based on the neural network model from step S102, comparing the actual feedback data with the expected data item by item, and calculating an error index for quantifying the operation error of the simulated circuit breaker device;

[0048] Based on data comparison and error indicators, a test result report is generated and transmitted to a display device.

[0049] The mobile simulated circuit breaker device and method described in the present invention have beneficial effects mainly in the following aspects:

[0050] The present invention aims at the pain points in the above-mentioned background technology and proposes a mobile simulated circuit breaker device and method. The present invention utilizes a combination of a 9V battery and a 48V indicator light, and can realize the function of a simulated circuit breaker through a simple circuit connection. Specifically, it is only necessary to connect multiple 9V batteries in series to provide sufficient voltage to light up the 48V indicator light and simulate the state of the circuit breaker being closed or tripped. The design of the present invention not only reduces the equipment cost, but also has the advantages of small size, easy to carry, and simple to operate.

[0051] More importantly, the simulated circuit breaker box of the present invention can completely simulate the operation process of a real circuit breaker, including tripping and closing actions, signal feedback, etc., so as to meet the requirements of the transmission test of the generator-transformer group protection. During the test, there is no need to frequently operate the actual circuit breaker, effectively avoiding damage to it. At the same time, for switches that cannot be directly driven, such as tripping busbars and starting failures, simulated tests can also be performed through the simulated circuit breaker box without removing the wires for measurement, thereby improving the efficiency and accuracy of the test.

[0052] In summary, the simulated circuit breaker box of the present invention provides a practical solution to the problems existing in the traditional generator-transformer group protection transmission test with its low cost, high performance and convenient operation, and has broad application prospects and promotion value. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the technical solution of the present invention, the following is a brief introduction to the drawings required for use in the embodiments. Obviously, for ordinary technicians in this field, other drawings can be obtained based on the drawings without paying any creative labor.

[0054] Figure 1 A schematic diagram of a mobile simulated circuit breaker device and method provided by the present invention. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described in conjunction with the specific embodiments of the present invention and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. The technical solutions provided by the embodiments of the present invention are described in detail below in conjunction with the drawings.

[0056] In order to better understand the purpose of the present invention, the present invention is described in further detail below.

[0057] In a first aspect, the present invention provides a mobile simulated circuit breaker device and method, including: a 9V battery, a 48V indicator light, and a control device, the control device is electrically connected to the 9V battery and the 48V indicator light respectively, and multiple 9V batteries are connected in series. The control device detects the working voltage. When the working voltage reaches 48V, the control device starts the 48V indicator light to light up. The control device includes:

[0058] The mobile simulated circuit breaker device and method provided by the present invention solves the problem of complex, time-consuming and inefficient operation of special switches in traditional transmission tests through innovative design. The following is an explanation of how the present invention achieves this goal through specific technical solutions:

[0059] Core components of the technical solution;

[0060] 9V battery: As a power component, it provides basic power.

[0061] 48V indicator light: used to visually display the status of the simulated circuit breaker. When the device is working, the indicator light lights up to simulate the closing or tripping status of the circuit breaker.

[0062] Control device: core component, responsible for data processing, signal control, motion simulation and result analysis.

[0063] Working principle and solution;

[0064] Power management: Multiple 9V batteries are connected in series to achieve a 48V operating voltage. This design not only reduces costs (compared to using 48V batteries directly), but also ensures sufficient voltage to drive the 48V indicator light.

[0065] The control device detects the working voltage, ensures that the voltage is stable and meets the working requirements, and then starts the 48V indicator light to simulate the initial state of the circuit breaker.

[0066] The data acquisition module in the control device collects historical data of the circuit breaker device, including control signals, simulated actions, status feedback, test parameters, fault records and environmental data.

[0067] The data processing module uses historical data to train the neural network model to obtain a simulation model that can predict the behavior of the circuit breaker. When a maintenance task is received, the model can calculate the expected data based on the task parameters (such as maintenance type, circuit breaker model, working environment, etc.).

[0068] The control signal processing module receives the control signal (closing command or tripping command) from the generator-transformer protection system, decodes it, and extracts the control parameters. The decoded control parameters are transmitted to the simulation action execution module. The module prepares the corresponding simulation action (closing or tripping) according to the control parameters, and controls the mechanical or electronic components inside the simulated circuit breaker device to perform these actions. During the simulation action execution process, the on and off state of the 48V indicator light is used to simulate the actual state change of the circuit breaker.

[0069] After the simulation action is executed, the data analysis module receives feedback data from the generator-transformer group protection device, including the actual status of the circuit breaker, action time, current and voltage changes, etc. The actual feedback data is compared with the expected data, and the error index is calculated to quantify the operation error of the simulated circuit breaker device. Based on the data comparison and error index, a test result report is generated and displayed to the operator through the display device. The operator can adjust the test parameters or make further maintenance decisions based on the test results.

[0070] By simulating the circuit breaker device, there is no need to frequently operate the actual circuit breaker, especially for special switches (such as tripping busbar switches and start failure protection switches), avoiding the tedious process of disconnecting and measuring. The simulated circuit breaker can quickly respond to control signals and simulate actual actions, shortening the time of transmission testing.

[0071] Using multiple 9V batteries in series instead of expensive 48V batteries reduces equipment costs; at the same time, it reduces the number of operations on the actual circuit breaker, extends its service life, and reduces maintenance costs. The performance of special switches is verified through simulation tests, reducing the risk of system failures caused by improper actual operations and improving the overall stability of the power system.

[0072] In summary, the mobile simulated circuit breaker device and method provided by the present invention effectively solves the problems of complex, time-consuming and inefficient operation of special switches in traditional transmission tests through innovative design and technical means, bringing significant convenience and benefits to the maintenance and inspection of power systems.

[0073] A data acquisition module is used to acquire historical data of the circuit breaker device, the historical data of the circuit breaker device includes control signal historical data, simulation action historical data, state feedback historical data, test parameter historical data, fault historical data and environmental historical data;

[0074] The data acquisition module is a component of the mobile simulated circuit breaker device in the present invention, and its main function is to collect historical data of the circuit breaker device.

[0075] The control signal history data includes all the control signals received by the circuit breaker in the past, such as closing commands and tripping commands. The control signal is the direct trigger for the circuit breaker action. Understanding the historical control signals helps the model understand which signal will lead to which action.

[0076] Simulation action history data: records the past simulated closing and tripping actions of the circuit breaker and their execution status, which helps the model learn the relationship between simulated actions and actual actions, thereby improving the accuracy of the simulation.

[0077] The status feedback historical data reflects the status of the circuit breaker after executing the action, such as the closing status, tripping status, etc.

[0078] State feedback is an important basis for verifying whether an action is successfully executed, and is crucial for the accuracy of model evaluation simulation results.

[0079] The test parameter history data includes various parameter settings when the circuit breaker was tested in the past, such as test voltage, current, time, etc. Parameters have a direct impact on the circuit breaker operation and performance, and understanding them helps the model more accurately predict the behavior of the circuit breaker under different conditions.

[0080] Fault history data records all the faults that have occurred in the past and their related information. Fault data is important for identifying potential problems, improving model prediction capabilities, and improving the reliability and stability of circuit breakers.

[0081] Environmental history data includes the environmental conditions in which the circuit breaker operates, such as temperature, humidity, pressure, etc. Environmental factors have an important impact on the performance and life of the circuit breaker. Considering these factors can make the model closer to the actual situation and improve the accuracy of the prediction.

[0082] The data acquisition module provides rich materials for the training of the neural network model by comprehensively collecting historical data of the circuit breaker device. This data not only helps the model learn the normal behavior patterns of the circuit breaker, but also helps the model identify abnormal situations and potential problems. Through continuous learning and optimization, the model can more accurately predict the behavior of the circuit breaker, thereby improving the performance and reliability of the simulated circuit breaker device.

[0083] In addition, the data acquisition module can also provide strong support for subsequent maintenance tasks. By comparing historical data and real-time data, abnormal conditions or potential faults of circuit breakers can be quickly identified, providing a basis for timely maintenance measures.

[0084] A data processing module is used to train a neural network model using historical data of the circuit breaker device to obtain a simulation model of the mobile simulated circuit breaker device, receive a maintenance task, substitute the maintenance task into the simulation model of the mobile simulated circuit breaker device, and obtain expected data of the mobile simulated circuit breaker device;

[0085] The data processing module is one of the core components of the mobile simulated circuit breaker device in the present invention. Its main function is to train the neural network model using the historical data of the circuit breaker device to generate a model that can simulate the behavior of the circuit breaker. In addition, the data processing module can also receive maintenance tasks and substitute these tasks into the trained simulation model to predict and generate the expected data of the mobile simulated circuit breaker device under specific maintenance tasks. The following is a detailed explanation of the specific work of the data processing module:

[0086] The data processing module preprocesses the collected historical data of the circuit breaker device, including data cleaning (removing noise and outliers), data transformation (such as normalization or standardization), and data partitioning (dividing the data set into a training set, a validation set, and a test set).

[0087] The neural network model is iteratively trained using the preprocessed training set data. The weights and biases of the model are adjusted through the back propagation algorithm to minimize the prediction error. During the training process, the model is regularly verified using the validation set data to ensure that the model is not overfitted, and the training is stopped when the performance on the validation set reaches the preset qualified value.

[0088] By continuously adjusting the model structure, hyperparameters, and training strategies, the performance of the neural network model is optimized so that it can more accurately simulate the behavior of the circuit breaker.

[0089] When a maintenance task is received, the data processing module extracts key information from the task, such as maintenance type, circuit breaker model, and working environment.

[0090] The extracted task information is substituted into the trained neural network model, and the expected data of the mobile simulated circuit breaker device under a specific maintenance task is obtained through forward propagation calculation. These expected data include expected tripping action time, state feedback, etc., which provide a basis for subsequent simulation action execution and result analysis.

[0091] The data processing module in the mobile simulated circuit breaker device can learn the complex laws of circuit breaker behavior and generate a high-precision simulation model through in-depth analysis of historical data and training of neural network models. This enables the device to accurately simulate its tripping and closing actions and status feedback without directly operating the real circuit breaker, thereby improving maintenance efficiency and the stability of the power system.

[0092] In addition, the data processing module can also quickly generate expected data according to different maintenance tasks, providing powerful decision support for operators. By comparing actual feedback data with expected data, operators can promptly identify potential problems and take corresponding measures to ensure the safe and reliable operation of the power system.

[0093] A control signal processing module is used to receive the control signal of the generator-transformer group protection system, the control signal of the generator-transformer group protection system includes a closing command and a tripping command, decode the control signal of the generator-transformer group protection system, obtain control signal parameter data, and transmit the control signal parameter data to the simulation action execution module;

[0094] The control signal processing module is responsible for receiving and processing the control signal from the generator-transformer group protection system in the mobile analog circuit breaker device.

[0095] The control signal processing module first receives the control signals from the generator-transformer protection system. These signals are direct instructions for the circuit breaker to perform tripping and closing actions, which are crucial to the stable operation of the power system.

[0096] After receiving the control signal, the module decodes it to extract useful parameter data. The control signal of the generator-transformer protection system usually includes closing instructions and tripping instructions, each of which contains specific parameters, such as action time, delay time, etc. The decoding process converts the control signal from the original format to a format that can be recognized by the module for subsequent processing.

[0097] During the decoding process, the control signal processing module extracts the key parameter data of the control signal. These parameter data include instruction type (closing or tripping), action time parameters, delay parameters, etc. Parameter data is the basis for the execution of simulation actions and is crucial to ensure that the simulated circuit breaker can accurately execute the instructions of the generator-transformer group protection system.

[0098] After extracting the control signal parameter data, the control signal processing module transmits it to the simulation action execution module. The simulation action execution module simulates the tripping and closing action of the circuit breaker based on these parameter data. In this way, the control signal processing module accurately transmits the control intention of the generator-transformer group protection system to the simulation action execution module, realizing the accurate simulation of the circuit breaker action.

[0099] The control signal processing module plays a connecting role in the mobile simulated circuit breaker device. It is not only the interface for receiving the control signal of the generator-transformer protection system, but also the key link for transmitting the control intention to the simulated action execution module. By accurately receiving, decoding and transmitting the control signal parameter data, the control signal processing module ensures that the simulated circuit breaker can perform the tripping action according to the requirements of the generator-transformer protection system, thereby improving the stability of the power system.

[0100] In addition, the control signal processing module can also process different types of control signals and parameter data and has strong adaptability.

[0101] The simulation action execution module is used to transmit the control signal parameter data to the internal electronic components of the simulated circuit breaker device. After the generator-transformer group protection device receives the control signal parameter data, it simulates the tripping and closing action of the circuit breaker;

[0102] The simulation action execution module is responsible for converting the control signal parameter data into actual simulation actions in the mobile simulation circuit breaker device to simulate the tripping and closing behavior of the circuit breaker. The parameter data is used to control the mechanical or electronic components inside the simulation circuit breaker device to simulate the tripping and closing action of the circuit breaker.

[0103] The simulation action execution module receives the decoded control signal parameter data from the control signal processing module. The decoded control signal parameter data includes the instruction type (closing or tripping), action time parameters, etc.

[0104] According to the received control signal parameter data, the simulation action execution module will prepare the corresponding simulation action, which may involve adjusting the mechanical structure inside the simulated circuit breaker device, triggering the electronic switch, etc.

[0105] After the simulated action is prepared, the simulated action execution module controls the simulated circuit breaker device to perform the tripping action. This is usually achieved by driving the mechanical or electronic components inside the device to simulate the action process of the real circuit breaker.

[0106] After executing the simulation action, the simulation action execution module may generate some feedback signals, such as simulation action completion signals, status feedback signals, etc. These signals can be used by other modules (such as data processing modules) for further analysis or processing.

[0107] The simulation action execution module is the part of the mobile simulation circuit breaker device that realizes the simulation function. By accurately controlling the action of the simulation circuit breaker device, it can simulate the behavior of the real circuit breaker in the power system and provide strong support for the testing, maintenance and training of the power system. In addition, the performance and accuracy of the simulation action execution module directly affect the reliability and effectiveness of the simulation results. Therefore, when designing and implementing this module, it is necessary to fully consider the accuracy, stability and reliability of its mechanical and electronic components.

[0108] The data analysis module is used to receive feedback data from the generator-transformer group protection device after simulating the circuit breaker tripping action, compare the feedback data from the generator-transformer group protection device with the expected data of the mobile simulated circuit breaker device, obtain the test results, which include the operation error data of the simulated circuit breaker device, transmit the test results to the display device, the display device is used to display the test results, and receive the test parameters set by the operator, and transmit the test parameters set by the operator to the data processing module.

[0109] The data analysis module is responsible for conducting in-depth analysis of the feedback data received from the generator-transformer group protection device after the simulated circuit breaker completes the tripping and closing action, and making a detailed comparison with the expected data in order to obtain accurate test results.

[0110] The primary task of the data analysis module is to receive feedback data from the generator-transformer group protection device. This data is generated by the generator-transformer group protection device based on the actual response after the simulated circuit breaker performs a tripping action, and is crucial for evaluating the simulation effect.

[0111] The module then carefully compares the received feedback data with the expected data previously generated by the data processing module. This step is intended to reveal the difference between the actual performance of the simulated circuit breaker device and the expected performance. Through comparative analysis, the module is able to calculate the operating error data of the simulated circuit breaker device, which is crucial for evaluating the accuracy and reliability of the device.

[0112] After completing the data comparison and analysis, the data analysis module will sort out the complete test results, including key information such as the operating error data of the simulated circuit breaker device. Then, the module will transmit these test results to the display device so that the operator can view and analyze them intuitively.

[0113] The data analysis module not only interacts with the display device, but also has the task of transmitting the test parameters set by the operator through the display device to the data processing module. The operator can adjust the test parameters on the display device according to actual needs, such as the simulated circuit breaker type, action time, etc. These parameters will then be captured by the data analysis module and passed to the data processing module to generate new expected data, thereby guiding subsequent simulation tests.

[0114] The data analysis module plays a vital role in the mobile simulated circuit breaker device. It is not only responsible for evaluating the accuracy and effectiveness of the simulation test, but also provides valuable test data for operators to help them gain a deeper understanding of the performance characteristics of the simulated circuit breaker device.

[0115] Through precise data comparison and analysis, the data analysis module can reveal potential problems in the actual application of the device, providing strong support for the optimization and improvement of the device. At the same time, the close interaction with the display device and the data processing module enables the operator to flexibly adjust the test parameters to meet different test requirements, thereby further improving the practicality of the mobile simulation circuit breaker device.

[0116] Specifically, in the mobile simulated circuit breaker device described in the present invention, the data processing module is further used for:

[0117] Preprocessing the historical data of the circuit breaker device, and dividing the preprocessed historical data of the circuit breaker device into a training set and a validation set;

[0118] The neural network model is iteratively trained using the training set data, and the weights and biases are adjusted through the back propagation algorithm to minimize the prediction error. During the training process, the model is regularly verified using the validation set data. When the performance of the model on the validation set reaches a preset qualified value, the training is stopped to obtain a simulation model of a mobile simulated circuit breaker device.

[0119] Receive maintenance tasks, including maintenance type, circuit breaker model and working environment;

[0120] The maintenance task information is substituted into the trained neural network model, and forward propagation calculation is performed to obtain the expected data of the mobile simulated circuit breaker device. The expected data of the mobile simulated circuit breaker device includes the expected tripping action time and state feedback.

[0121] The data processing module will pre-process the collected historical data of circuit breaker devices. This includes data cleaning, that is, removing noise and outliers in the data to ensure data accuracy; data transformation, such as normalization or standardization, to make the data easier for model processing; and data feature extraction, refining feature information that is useful for model training.

[0122] After preprocessing, the data is divided into a training set and a validation set. The training set is used to train the neural network model, while the validation set is used to regularly verify the performance of the model during the training process to prevent the model from overfitting.

[0123] The neural network model is iteratively trained using the training set data. The weights and biases of the model are adjusted according to the prediction error through the back-propagation algorithm to continuously optimize the model performance.

[0124] During the training process, the validation set data is used regularly to validate the model and evaluate the performance of the model on unknown data. When the performance of the model on the validation set reaches the preset qualified value, the model is considered to be accurate enough and training can be stopped. At this point, we have obtained a mobile simulated circuit breaker device simulation model that can simulate the behavior of the circuit breaker.

[0125] The data processing module can receive maintenance task information from the outside, which includes maintenance type (such as regular maintenance, troubleshooting, etc.), circuit breaker model and working environment (such as temperature, humidity, etc.).

[0126] Substitute the received maintenance task information into the trained neural network model. Through the forward propagation calculation of the model, the expected data of the mobile simulated circuit breaker device under a specific maintenance task is obtained. These data include the expected tripping and closing action time, that is, the time required for the circuit breaker to perform the tripping and closing action; and state feedback, that is, the state of the circuit breaker after the action is performed (such as closing, tripping, etc.).

[0127] The data processing module plays a vital role in the mobile simulation circuit breaker device. Through precise data preprocessing and model training, it can generate a highly accurate simulation model, providing strong support for subsequent simulation tests and maintenance tasks. At the same time, by receiving maintenance tasks and generating expected data, the data processing module enables the device to perform flexible simulation operations according to actual needs, thereby improving maintenance efficiency and the stability of the power system.

[0128] In summary, the data processing module is not only the core component of the mobile simulation circuit breaker device, but also the key to achieve high-precision simulation and efficient maintenance.

[0129] Specifically, in the mobile simulated circuit breaker device described in the present invention, the simulated action execution module is further used for:

[0130] receiving decoded control signal parameter data from the control signal processing module, wherein the decoded control signal parameter data includes parameters of a closing command or a tripping command issued by the generator-transformer group protection system;

[0131] Parse the received control signal parameter data to confirm the instruction type, action time parameters and delay parameters. The instruction type includes closing or tripping.

[0132] According to the analysis result, the control signal parameter data is converted into an instruction format executable by the simulation action execution module, and the corresponding simulation action is prepared according to the instruction type. The corresponding simulation action includes preparing an action of simulating circuit breaker closing for the closing instruction and preparing an action of simulating circuit breaker tripping for the tripping instruction;

[0133] Check the status of the simulated circuit breaker device, and control the mechanical or electronic components inside the simulated circuit breaker device according to the prepared simulated action to simulate the actual tripping and closing action of the circuit breaker;

[0134] During the simulation action execution process, control the on and off of the indicator light to simulate the state change of the circuit breaker, confirm that the simulation action has been completed according to the instruction requirements, and check whether the state of the simulated circuit breaker device is consistent with the state required by the instruction;

[0135] Generate a feedback signal after the simulation action is completed. The feedback signal after the simulation action is completed includes the execution result and status information of the simulation action. The feedback signal is transmitted to the data analysis module. After the simulation action is completed, the simulation action execution module enters a waiting state, receives the next control signal parameter data and executes the corresponding simulation action.

[0136] The simulation action execution module first receives the decoded control signal parameter data from the control signal processing module. These data contain specific command information issued by the generator-transformer protection system, such as closing or tripping commands, as well as related action time parameters and delay parameters.

[0137] After receiving the data, the module will analyze the parameter data in detail to confirm the specific type of instruction (closing or tripping) and the required action time and delay time. This is a key step to ensure the accurate execution of the simulation action.

[0138] After the analysis is completed, the module will convert the control signal parameter data into its own executable instruction format. According to the instruction type, the module will prepare the corresponding simulation action, such as for the closing instruction, it will simulate the action of closing the circuit breaker; for the tripping instruction, it will simulate the action of tripping the circuit breaker.

[0139] After the preparation phase is completed, the module checks the current state of the simulated circuit breaker device and controls the mechanical or electronic components inside the device according to the prepared simulated action to simulate the actual tripping and closing action of the circuit breaker. During this process, the module ensures that the simulated action is as consistent as possible with the action process of the real circuit breaker.

[0140] During the simulation, the module will control the indicator light to simulate the state change of the circuit breaker, such as the indicator light will light up when closing and the indicator light will go out when tripping. At the same time, the module will continuously check the state of the simulated circuit breaker device to ensure that the simulation has been accurately executed according to the instruction requirements and the device state is completely consistent with the state required by the instruction.

[0141] After the simulation action is completed, the module will generate a feedback signal containing the simulation action execution result and status information. This signal will then be transmitted to the data analysis module for subsequent data processing and analysis. After completing the simulation action and transmitting the feedback signal, the simulation action execution module will enter the waiting state, ready to receive the next control signal parameter data, and execute the corresponding simulation action according to the new instruction.

[0142] The simulation action execution module is a key component for realizing simulation functions in the mobile simulation circuit breaker device. It can not only accurately convert control signals into simulation actions, but also provide operators with intuitive simulation effect display through status feedback and indicator light control. At the same time, by generating and transmitting feedback signals, the module can also effectively interact with other modules (such as data analysis modules), thereby ensuring that the entire device can work together to achieve high-precision simulation and test functions.

[0143] Specifically, in the mobile simulated circuit breaker device of the present invention, the data analysis module is further used for:

[0144] Receiving actual feedback data after the simulated circuit breaker tripping and closing action, the actual feedback data after the simulated circuit breaker tripping and closing action includes the actual state of the circuit breaker, the action time, and the current and voltage changes;

[0145] Obtaining expected data of the mobile simulated circuit breaker device predicted based on the neural network model from the data processing module, comparing the actual feedback data with the expected data item by item, and calculating the error index for quantifying the operation error of the simulated circuit breaker device;

[0146] Based on data comparison and error indicators, a test result report is generated and transmitted to a display device.

[0147] The data analysis module is capable of receiving actual feedback data generated by the simulated circuit breaker after performing a tripping and closing action. These data are critical because they directly reflect the performance of the simulated circuit breaker device in actual operation. The actual feedback data includes but is not limited to the actual state of the circuit breaker (such as closing, tripping or fault state), the action time (i.e., the time required for the circuit breaker to complete the action from receiving the instruction) and the current and voltage changes (the real-time changes of current and voltage during the action process).

[0148] The data analysis module obtains the expected data of the mobile simulated circuit breaker device based on the prediction of the neural network model from the data processing module. These expected data are calculated by the neural network model based on the maintenance task, circuit breaker model, working environment and other information.

[0149] The data analysis module compares the actual feedback data with the expected data item by item. This step is critical to evaluating the performance of the simulated circuit breaker device because it can reveal the difference between the actual performance and the expected one.

[0150] During the comparison process, the data analysis module calculates a series of error indicators to quantify the operating errors of the simulated circuit breaker device. These error indicators may include time error (the difference between the actual operation time and the expected time), state error (the difference between the actual state and the expected state), and current and voltage errors (the difference between the actual current and voltage changes and the expected changes).

[0151] Based on the data comparison and error index calculation results, the data analysis module generates a detailed test result report. This report not only contains the comparison of all key data, but also provides a comprehensive evaluation of the performance of the simulated circuit breaker device.

[0152] Finally, the data analysis module transmits the test result report to the display device, so that the operator can intuitively view the test results through the display device, understand the performance of the simulated circuit breaker device, and make corresponding adjustments or optimizations as needed.

[0153] The data analysis module plays a vital role in the mobile simulated circuit breaker device. It is not only responsible for receiving and processing actual feedback data, but also works closely with the data processing module to obtain expected data and compare them. By calculating error indicators and generating test result reports, the data analysis module provides operators with a comprehensive and accurate evaluation basis, helping maintenance personnel to better understand the performance of the simulated circuit breaker device and make necessary adjustments and optimizations accordingly. This is of great significance to improving the stability and safety of the power system.

[0154] In a second aspect, the present invention provides a mobile simulated circuit breaker method, which is applied to the mobile simulated circuit breaker device, comprising:

[0155] Step S101, obtaining historical data of a circuit breaker device, the historical data of the circuit breaker device including control signal historical data, simulation action historical data, state feedback historical data, test parameter historical data, fault historical data and environment historical data;

[0156] Step S102, using the historical data of the circuit breaker device to train the neural network model, obtain a simulation model of the mobile simulated circuit breaker device, receive the maintenance task, substitute the maintenance task into the simulation model of the mobile simulated circuit breaker device, and obtain the expected data of the mobile simulated circuit breaker device;

[0157] Step S103, receiving a control signal of the generator-transformer group protection system, the control signal of the generator-transformer group protection system including a closing command and a tripping command, decoding the control signal of the generator-transformer group protection system to obtain control signal parameter data, and transmitting the control signal parameter data to step S104;

[0158] Step S104, transmitting the control signal parameter data to the electronic components inside the simulated circuit breaker device, and after the generator-transformer group protection device receives the control signal parameter data, simulating the tripping and closing action of the circuit breaker;

[0159] Step S105, after the simulated circuit breaker tripping action, receiving feedback data from the generator-transformer group protection device, comparing the feedback data from the generator-transformer group protection device with the expected data of the mobile simulated circuit breaker device, obtaining a test result, the test result including the simulated circuit breaker device operation error data, transmitting the test result to a display device, the display device is used to display the test result, and receiving the test parameters set by the operator, transmitting the test parameters set by the operator to step S102. Specifically, the mobile simulated circuit breaker method described in the present invention, step S102, includes:

[0160] Preprocessing the historical data of the circuit breaker device, and dividing the preprocessed historical data of the circuit breaker device into a training set and a validation set;

[0161] The neural network model is iteratively trained using the training set data, and the weights and biases are adjusted through the back propagation algorithm to minimize the prediction error. During the training process, the model is regularly verified using the validation set data. When the performance of the model on the validation set reaches a preset qualified value, the training is stopped to obtain a simulation model of a mobile simulated circuit breaker device.

[0162] Receive maintenance tasks, including maintenance type, circuit breaker model and working environment;

[0163] The maintenance task information is substituted into the trained neural network model, and forward propagation calculation is performed to obtain the expected data of the mobile simulated circuit breaker device. The expected data of the mobile simulated circuit breaker device includes the expected tripping action time and state feedback.

[0164] Specifically, in the mobile simulated circuit breaker method of the present invention, step S104 includes:

[0165] Receiving the decoded control signal parameter data from step S103, the decoded control signal parameter data including the parameters of the closing command or the tripping command issued by the generator-transformer group protection system;

[0166] Parse the received control signal parameter data to confirm the instruction type, action time parameters and delay parameters. The instruction type includes closing or tripping.

[0167] According to the analysis result, the control signal parameter data is converted into an executable instruction format in step S104, and a corresponding simulation action is prepared according to the instruction type. The corresponding simulation action includes preparing an action of simulating circuit breaker closing for a closing instruction and preparing an action of simulating circuit breaker tripping for a tripping instruction;

[0168] Check the status of the simulated circuit breaker device, and control the mechanical or electronic components inside the simulated circuit breaker device according to the prepared simulated action to simulate the actual tripping and closing action of the circuit breaker;

[0169] During the simulation action execution process, control the on and off of the indicator light to simulate the state change of the circuit breaker, confirm that the simulation action has been completed according to the instruction requirements, and check whether the state of the simulated circuit breaker device is consistent with the state required by the instruction;

[0170] Generate a feedback signal after the simulation action is completed. The feedback signal after the simulation action is completed includes the execution result and status information of the simulation action. The feedback signal is transmitted to step S105. After the simulation action is completed, step S104 enters a waiting state, receives the next control signal parameter data and executes the corresponding simulation action.

[0171] Specifically, in the mobile simulated circuit breaker method of the present invention, step S105 includes:

[0172] Receiving actual feedback data after the simulated circuit breaker tripping and closing action, the actual feedback data after the simulated circuit breaker tripping and closing action includes the actual state of the circuit breaker, the action time, and the current and voltage changes;

[0173] Obtaining expected data of the mobile simulated circuit breaker device predicted based on the neural network model from step S102, comparing the actual feedback data with the expected data item by item, and calculating an error index for quantifying the operation error of the simulated circuit breaker device;

[0174] Based on data comparison and error indicators, a test result report is generated and transmitted to a display device.

[0175] The present invention provides a mobile simulated circuit breaker device and method, which solves the problem that special switches cannot be directly operated in actual transmission and need to be cumbersome, complicated and time-consuming to remove wires and use a multimeter for measurement and verification through the following technical solutions:

[0176] The present invention relates to a mobile simulated circuit breaker device and method, comprising a 9V battery, a 48V indicator light and a control device. The control device is electrically connected to the battery and the indicator light, and the indicator light is started after a plurality of 9V batteries are connected in series to reach the working voltage, so as to simulate the state of the circuit breaker. The control device contains a plurality of modules, which are respectively responsible for functions such as data acquisition, processing, control signal decoding, simulation action execution and data analysis.

[0177] Obtain historical data of the circuit breaker device, including control signals, simulated actions, state feedback, test parameters, fault records, and environmental data. Use these historical data to train the neural network model to obtain a simulation model that can predict the behavior of the circuit breaker. After receiving the maintenance task, substitute the model to calculate the expected data. Receive the control signal (closing command, tripping command) of the generator-transformer protection system, decode it to obtain the control parameters, and transmit them to the simulation action execution module.

[0178] According to the received control parameters, the tripping and closing action of the circuit breaker is simulated. In this process, there is no need to operate the actual circuit breaker, which avoids mechanical and electrical wear. After the simulation action is executed, the feedback data of the generator-transformer protection device is received and compared with the expected data to evaluate the operation error of the simulated circuit breaker device. The feedback data includes the actual state of the circuit breaker, the action time, the current and voltage changes, etc. By comparing these data with the expected values, the performance of the simulated circuit breaker device can be quantified.

[0179] The present invention does not need to remove the wires and use a multimeter to measure the outlet, which simplifies the verification process of special switches. The simulated circuit breaker device can quickly respond to the control signal, simulate the actual action, and reduce the maintenance time. It avoids the mechanical and electrical wear caused by frequent operation of the actual circuit breaker and prolongs the service life of the equipment. Through accurate simulation and feedback mechanism, the stable operation level of the power system is improved.

[0180] In summary, the present invention effectively solves the problem that special switches cannot be directly operated in actual transmission by simulating circuit breaker devices and methods, thereby improving maintenance efficiency and stability of the power system.

Claims

1. A mobile simulated circuit breaker device, characterized in that: include: 9V battery, 48V indicator light and control device. The control device is electrically connected to the 9V battery and the 48V indicator light respectively. Multiple 9V batteries are connected in series. The control device detects the working voltage. When the working voltage reaches 48V, the control device starts the 48V indicator light to light up. The control device includes: A data acquisition module is used to acquire historical data of the circuit breaker device, the historical data of the circuit breaker device includes control signal historical data, simulation action historical data, state feedback historical data, test parameter historical data, fault historical data and environmental historical data; A data processing module is used to train a neural network model using historical data of the circuit breaker device to obtain a simulation model of the mobile simulated circuit breaker device, receive a maintenance task, substitute the maintenance task into the simulation model of the mobile simulated circuit breaker device, and obtain expected data of the mobile simulated circuit breaker device; A control signal processing module is used to receive the control signal of the generator-transformer group protection system, the control signal of the generator-transformer group protection system includes a closing command and a tripping command, decode the control signal of the generator-transformer group protection system, obtain control signal parameter data, and transmit the control signal parameter data to the simulation action execution module; The simulation action execution module is used to transmit the control signal parameter data to the internal electronic components of the simulated circuit breaker device. After the generator-transformer group protection device receives the control signal parameter data, it simulates the tripping and closing action of the circuit breaker; The data analysis module is used to receive feedback data from the generator-transformer group protection device after simulating the circuit breaker tripping action, compare the feedback data from the generator-transformer group protection device with the expected data of the mobile simulated circuit breaker device, obtain the test results, which include the operation error data of the simulated circuit breaker device, transmit the test results to the display device, the display device is used to display the test results, and receive the test parameters set by the operator, and transmit the test parameters set by the operator to the data processing module.

2. A mobile simulated circuit breaker device as claimed in claim 1, characterized in that: The data processing module is also used for: Preprocessing the historical data of the circuit breaker device, and dividing the preprocessed historical data of the circuit breaker device into a training set and a validation set; The neural network model is iteratively trained using the training set data, and the weights and biases are adjusted through the back propagation algorithm to minimize the prediction error. During the training process, the model is regularly verified using the validation set data. When the performance of the model on the validation set reaches a preset qualified value, the training is stopped to obtain a simulation model of a mobile simulated circuit breaker device. Receive maintenance tasks, including maintenance type, circuit breaker model and working environment; The maintenance task information is substituted into the trained neural network model, and forward propagation calculation is performed to obtain the expected data of the mobile simulated circuit breaker device. The expected data of the mobile simulated circuit breaker device includes the expected tripping action time and state feedback.

3. A mobile simulated circuit breaker device as claimed in claim 1, characterized in that: The simulation action execution module is also used for: receiving decoded control signal parameter data from the control signal processing module, wherein the decoded control signal parameter data includes parameters of a closing command or a tripping command issued by the generator-transformer group protection system; Parse the received control signal parameter data to confirm the instruction type, action time parameters and delay parameters. The instruction type includes closing or tripping. According to the analysis result, the control signal parameter data is converted into an instruction format executable by the simulation action execution module, and the corresponding simulation action is prepared according to the instruction type. The corresponding simulation action includes preparing an action of simulating circuit breaker closing for the closing instruction and preparing an action of simulating circuit breaker tripping for the tripping instruction; Check the status of the simulated circuit breaker device, and control the mechanical or electronic components inside the simulated circuit breaker device according to the prepared simulated action to simulate the actual tripping and closing action of the circuit breaker; During the simulation action execution process, control the on and off of the indicator light to simulate the state change of the circuit breaker, confirm that the simulation action has been completed according to the instruction requirements, and check whether the state of the simulated circuit breaker device is consistent with the state required by the instruction; Generate a feedback signal after the simulation action is completed. The feedback signal after the simulation action is completed includes the execution result and status information of the simulation action. The feedback signal is transmitted to the data analysis module. After the simulation action is completed, the simulation action execution module enters a waiting state, receives the next control signal parameter data and executes the corresponding simulation action.

4. A mobile simulated circuit breaker device as claimed in claim 1, characterized in that: The data analysis module is also used for: Receiving actual feedback data after the simulated circuit breaker tripping and closing action, the actual feedback data after the simulated circuit breaker tripping and closing action includes the actual state of the circuit breaker, the action time, and the current and voltage changes; Obtaining expected data of the mobile simulated circuit breaker device predicted based on the neural network model from the data processing module, comparing the actual feedback data with the expected data item by item, and calculating the error index for quantifying the operation error of the simulated circuit breaker device; Based on data comparison and error indicators, a test result report is generated and transmitted to a display device.

5. A mobile simulated circuit breaker method, applied to the mobile simulated circuit breaker device according to any one of claims 1 to 4, characterized in that: include: Step S101, obtaining historical data of a circuit breaker device, the historical data of the circuit breaker device including control signal historical data, simulation action historical data, state feedback historical data, test parameter historical data, fault historical data and environment historical data; Step S102, using the historical data of the circuit breaker device to train the neural network model, obtain a simulation model of the mobile simulated circuit breaker device, receive the maintenance task, substitute the maintenance task into the simulation model of the mobile simulated circuit breaker device, and obtain the expected data of the mobile simulated circuit breaker device; Step S103, receiving a control signal of the generator-transformer group protection system, the control signal of the generator-transformer group protection system including a closing command and a tripping command, decoding the control signal of the generator-transformer group protection system to obtain control signal parameter data, and transmitting the control signal parameter data to step S104; Step S104, transmitting the control signal parameter data to the electronic components inside the simulated circuit breaker device, and after the generator-transformer group protection device receives the control signal parameter data, simulating the tripping and closing action of the circuit breaker; Step S105, after the simulated circuit breaker tripping action, feedback data from the generator-transformer group protection device is received, the feedback data from the generator-transformer group protection device is compared with the expected data of the mobile simulated circuit breaker device to obtain a test result, the test result includes the operation error data of the simulated circuit breaker device, the test result is transmitted to a display device, the display device is used to display the test result, and the test parameters set by the operator are received, and the test parameters set by the operator are transmitted to step S102.

6. A mobile circuit breaker simulation method as claimed in claim 5, characterized in that: The step S102 includes: Preprocessing the historical data of the circuit breaker device, and dividing the preprocessed historical data of the circuit breaker device into a training set and a validation set; The neural network model is iteratively trained using the training set data, and the weights and biases are adjusted through the back propagation algorithm to minimize the prediction error. During the training process, the model is regularly verified using the validation set data. When the performance of the model on the validation set reaches a preset qualified value, the training is stopped to obtain a simulation model of a mobile simulated circuit breaker device. Receive maintenance tasks, including maintenance type, circuit breaker model and working environment; The maintenance task information is substituted into the trained neural network model, and forward propagation calculation is performed to obtain the expected data of the mobile simulated circuit breaker device. The expected data of the mobile simulated circuit breaker device includes the expected tripping action time and state feedback.

7. A mobile simulated circuit breaker method as claimed in claim 5, characterized in that: The step S104 includes: Receiving the decoded control signal parameter data from step S103, the decoded control signal parameter data including the parameters of the closing command or the tripping command issued by the generator-transformer group protection system; Parse the received control signal parameter data to confirm the instruction type, action time parameters and delay parameters. The instruction type includes closing or tripping. According to the analysis result, the control signal parameter data is converted into an executable instruction format in step S104, and a corresponding simulation action is prepared according to the instruction type. The corresponding simulation action includes preparing an action of simulating circuit breaker closing for a closing instruction and preparing an action of simulating circuit breaker tripping for a tripping instruction; Check the status of the simulated circuit breaker device, and control the mechanical or electronic components inside the simulated circuit breaker device according to the prepared simulated action to simulate the actual tripping and closing action of the circuit breaker; During the execution of the simulation action, the indicator light is controlled to turn on and off to simulate the state change of the circuit breaker, confirm that the simulation action has been completed according to the instruction requirements, and check whether the state of the simulated circuit breaker device is consistent with the state required by the instruction; generate a feedback signal after the simulation action is completed, and the feedback signal after the simulation action is completed includes the execution result and state information of the simulation action, and transmit the feedback signal to step S105. After the simulation action is completed, step S104 enters a waiting state, receives the next control signal parameter data and executes the corresponding simulation action.

8. A mobile circuit breaker simulation method as claimed in claim 5, characterized in that: The step S105 includes: Receiving actual feedback data after the simulated circuit breaker tripping and closing action, the actual feedback data after the simulated circuit breaker tripping and closing action includes the actual state of the circuit breaker, the action time, and the current and voltage changes; Obtaining expected data of the mobile simulated circuit breaker device predicted based on the neural network model from step S102, comparing the actual feedback data with the expected data item by item, and calculating an error index for quantifying the operation error of the simulated circuit breaker device; Based on data comparison and error indicators, a test result report is generated and transmitted to a display device.

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