Method and system for automatically measuring and controlling parameters of a magnetic control vacuum circuit breaker driver

Abstract

The application relates to the field of power equipment control and discloses a magnetic control vacuum circuit breaker driver parameter automatic measurement and control method and system, which realizes closed loop iterative optimization of driving parameters through a cooperative process of hardware initialization, manual preliminary testing, automatic measurement and control program and result display and storage. Specifically, the method comprises the following steps: verifying the basic function of the magnetic control mechanism and calibrating initial parameters in the manual testing stage; in the automatic measurement and control program, the critical pulse length is calibrated through parameter decrement testing, and the residual magnetism interference is eliminated in combination with residual magnetism dynamic monitoring and reverse demagnetization control; closed loop optimization is carried out, and the optimal parameters meeting the action time stability, residual magnetism controllability and contact contact reliability are output. The application solves the problems of traditional debugging relying on experience, performance degradation caused by residual magnetism accumulation and insufficient adaptability to multiple working conditions, significantly improves the efficiency and precision of the magnetic control mechanism parameter adjustment, and provides a high-reliability driving control scheme for smart grid equipment.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power equipment control, in particular to a magnetic control vacuum circuit breaker driver parameter automatic measurement and control method and system. BACKGROUND

[0002] As a key equipment of smart grid, the accurate adjustment of the driving parameters of the magnetic control vacuum circuit breaker directly affects the reliability and service life of the opening and closing actions. The traditional debugging method mainly relies on manual experience combined with trial and error method, and the pulse parameters are manually adjusted for multiple times and the mechanical action effect is observed, which has problems of long debugging period and poor consistency. Especially in the magnetic control mechanism, the residual magnetism effect of the core material easily leads to action lag or abnormal reset, and the existing technology lacks monitoring and control means for residual magnetism, and often compensates the residual magnetism effect by reserving redundant pulse time, which causes increased energy consumption and aggravated contact wear.

[0003] In addition, due to the complexity of the power grid operating environment, the magnetic control mechanism needs to adapt to different voltage level power supply scenarios, and the traditional parameter fixed mode is difficult to dynamically adapt to voltage fluctuation, which leads to the risk of action failure at low voltage or voltage drop. Although some schemes introduce an automatic test module, the parameter optimization process lacks a systematic closed-loop verification mechanism, and the comprehensive evaluation of multi-dimensional data (such as residual magnetism distribution and contact resistance) is insufficient, making it difficult to balance the contradiction between action speed and stability.

[0004] Therefore, there is an urgent need for a measurement and control method that integrates residual magnetism closed-loop control, parameter dynamic adaptation and multi-working condition compatibility to improve the intelligent debugging level and operation reliability of the magnetic control vacuum circuit breaker. SUMMARY

[0005] In view of the deficiencies of the prior art, the present application provides a magnetic control vacuum circuit breaker driver parameter automatic measurement and control method and system, which solves the technical problems of traditional magnetic control mechanism driving parameter debugging relying on manual experience, residual magnetism effect leading to action reliability decline, and insufficient parameter adaptation capability in multi-voltage scenarios.

[0006] To achieve the above purpose, the present application realizes the following technical scheme: a magnetic control vacuum circuit breaker driver parameter automatic measurement and control method, comprising the following steps:

[0007] Step 1, hardware initialization: connecting power module, control module, driving module and magnetic sensor module, starting power supply and selecting test mode;

[0008] Step 2, manual preliminary test: setting initial driving parameters, performing manual opening / closing operation to verify the basic function of the magnetic control mechanism; Step 3, executing automatic measurement and control program:

[0009] Performing multiple normal opening / closing operations to evaluate stability;

[0010] Step 3: Adjust the opening and closing pulse length step by step until the operation is abnormal, and record the critical parameters;

[0011] Real-time monitoring of the direction and size of residual magnetism, and dynamically adjusting the driving parameters to meet the residual magnetism requirements;

[0012] Optimizing parameters through multiple rounds of closed-loop testing;

[0013] Step 4: Result display and storage: output the optimal driving parameters and store the test data.

[0014] Preferably, the test mode in step 1 includes:

[0015] Simulation switch test mode: simulate real switch working conditions by installing terminal pressure contact spring and opening spring; Real switch test mode: directly connect actual magnetic control vacuum circuit breaker for testing.

[0016] Preferably, the initial driving parameters in step 2 include:

[0017] Initial voltage value;

[0018] Initial closing pulse length and opening pulse length.

[0019] Preferably, the specific operation of step 3 to adjust the opening and closing pulse length step by step includes:

[0020] Decrease the closing pulse length by a preset step size, and perform multiple closing tests until the operation is abnormal;

[0021] Decrease the opening pulse length by a preset step size, and perform multiple opening tests until the operation is abnormal.

[0022] Preferably, the real-time monitoring of the direction and size of residual magnetism in step 3 includes:

[0023] Collect residual magnetism data through a magnetic sensor to determine whether the residual magnetism direction is positive;

[0024] If the residual magnetism direction is not positive or the size exceeds a preset threshold, automatically adjust the driving parameters and retest.

[0025] Preferably, the way to dynamically adjust the driving parameters in step 3 includes at least one of the following:

[0026] Adjust the closing or opening pulse length;

[0027] Switch the output voltage of the power module;

[0028] Modify the iteration rounds of closed-loop testing.

[0029] Preferably, the multiple rounds of closed-loop testing in step 3 include:

[0030] Setting a preset test round;

[0031] Each round of testing fine-tunes the driving parameters based on the results of the previous round of testing.

[0032] Preferably, the optimal driving parameters in step 4 are determined by the following method:

[0033] Based on the critical parameters, residual magnetism range and stability index, data fitting calculation is performed;

[0034] The parameter combination with the best overall performance is selected in combination with the iteration results of multiple closed-loop tests.

[0035] Preferably, it also includes a multi-voltage mode test:

[0036] The power module outputs to different voltage values;

[0037] Steps 2 to 4 of the measurement and control process are independently performed for each voltage value to obtain the corresponding optimal parameters.

[0038] The present application also provides a magnetic vacuum circuit breaker driver parameter automatic measurement and control system, comprising:

[0039] A power module for providing multi-voltage output and supporting dynamic switching;

[0040] A control module for coordinating the test process, issuing control instructions and processing data;

[0041] A driving module for generating adjustable pulse length driving signals according to the instructions of the control module;

[0042] A magnetic sensor module for real-time monitoring of the residual magnetism direction and size of the magnetic control mechanism;

[0043] A display module for visualizing test data and optimal parameters;

[0044] A data storage module for storing test process data and optimization results.

[0045] The present application provides a magnetic vacuum circuit breaker driver parameter automatic measurement and control method and system. It has the following beneficial effects:

[0046] 1. The present application can automatically approach the best driving parameter combination of the magnetic control mechanism through phased parameter decrement testing and multiple closed-loop optimization, significantly reducing the cost of manual trial and error, while ensuring the systematicness and scientificity of the parameter adjustment process and avoiding debugging deviations caused by experience dependence.

[0047] 2. By monitoring the direction and intensity of residual magnetism in real time and combining it with a dynamic demagnetization pulse generation mechanism, this invention can actively eliminate reverse residual magnetism, reduce malfunctions or mechanical wear caused by residual magnetism accumulation, and thus improve the long-term operational stability and lifespan of the magnetically controlled vacuum circuit breaker.

[0048] 3. Through independent measurement and control processes and parameter mapping storage under multiple voltage modes, this invention supports rapid parameter switching of the magnetic control mechanism under different power supply voltages, enabling it to adapt to grid voltage fluctuations or diverse application scenarios, thus broadening the deployment range of the equipment.

[0049] 4. From the classification, storage, and visualization of raw test data to the optimization results, this invention constructs a complete test data management system, which facilitates subsequent fault analysis, parameter backtracking, and performance optimization, providing a reliable data foundation for equipment maintenance and upgrades.

[0050] 5. By providing abnormal prompts during the manual testing phase and utilizing the fault-tolerance mechanism of the automatic testing and control program, this invention enables risk warning and rapid intervention at critical operation nodes, ensuring the safety of the testing process while lowering the technical threshold for operators through the interactive interface. Attached Figure Description

[0051] Figure 1 This is one of the schematic diagrams of the method flow of the present invention;

[0052] Figure 2 This is a second schematic diagram of the method flow of the present invention;

[0053] Figure 3 This is a schematic diagram of the system structure of the present invention. Detailed Implementation

[0054] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0055] Please see the appendix Figure 1 -Appendix Figure 2 This invention provides an automatic measurement and control method for the parameters of a magnetically controlled vacuum circuit breaker actuator. Through hardware and software collaborative control and a closed-loop optimization mechanism, it achieves automated testing and dynamic adaptation of the actuator parameters. The specific implementation steps of this method are as follows:

[0056] S1. Hardware initialization steps;

[0057] S2, Manual preliminary testing steps;

[0058] S3, executing an automatic measurement and control program step;

[0059] S4, a result display and storage step.

[0060] The following is a detailed description of each step in the method of the present application, and the specific implementation principle, technical details and process of each step are fully described.

[0061] For step S1, in the present embodiment, the hardware initialization step is used to build a stable and reliable hardware foundation environment for the subsequent measurement and control process, which is realized by modular connection, test mode selection and power supply dynamic configuration.

[0062] In the module connection process, the output end of the power supply module is electrically connected with the power input interface of the drive module, ensuring that the output voltage range of the power supply module covers the working requirements of the drive module.

[0063] The drive signal output end of the drive module is connected with the control coil of the magnetic control mechanism, and a shielded cable is used to reduce the disturbance of electromagnetic interference on the drive signal.

[0064] The magnetic sensor module is fixedly installed at the key position of the magnetic circuit of the magnetic control mechanism, specifically at the magnetic field sensitive area of the moving iron core motion track, and its detection direction is orthogonal to the magnetic field change direction during the operation of the magnetic control mechanism, so as to ensure the accuracy of the residual magnetic data acquisition.

[0065] The control module is interconnected with the drive module, the magnetic sensor module and the display module through a standard communication interface, and the communication interface includes but is not limited to CAN bus, RS485 or Ethernet protocol, which is used to realize the issuance of control instructions and synchronous transmission of data.

[0066] In the test mode selection, two switchable test scenes are provided: simulated switch test mode and real switch test mode.

[0067] In the simulated switch test mode, the terminal pressure contact spring and the opening spring are installed on the magnetic control mechanism, the terminal pressure contact spring is used to simulate the terminal pressure when the vacuum circuit breaker contact is closed, the opening spring is used to simulate the mechanical resistance during the opening operation, and at the same time, the movement range of the moving iron core is limited by the adjustable stroke clamp to reproduce the actual mechanical working condition of the switch.

[0068] In the real switch test mode, the magnetic control mechanism is mechanically connected with the vacuum arc-extinguishing chamber and the circuit breaker body, the electrical compatibility of the drive module and the circuit breaker control circuit is checked, and the installation position of the magnetic sensor module is calibrated to ensure that its detection direction is consistent with the actual magnetic field direction during the opening and closing process of the circuit breaker.

[0069] In the power supply starting stage, the power supply module is turned on and the initial output voltage is set. Preferably, the initial output voltage is set to DC 380V. The power supply module has a built-in voltage feedback loop, which monitors the output voltage fluctuation in real time and adjusts the duty cycle of the power device to ensure that the output voltage fluctuation range is less than the preset threshold.

[0070] Further, the power supply module supports multi-voltage output mode switching function. Through the voltage switching instruction sent by the control module, the output voltage value can be dynamically adjusted to adapt to the electrical characteristic test requirements of different magnetic control mechanisms.

[0071] Preferably, the magnetic sensor module adopts a non-contact magnetic field detection scheme based on the Hall effect or the magnetic resistance effect principle. Its range covers the maximum residual magnetic intensity of the magnetic control mechanism during operation and has anti-saturation characteristics. During installation, the spatial position and angle of the magnetic sensor module are adjusted through a three-dimensional adjustable support to make the detection surface perpendicular to the magnetic force line distribution direction of the magnetic control mechanism, so as to maximize the signal acquisition sensitivity.

[0072] Preferably, the control module performs a self-checking program in the initialization stage, including: verifying whether the pulse response delay of the drive module is within the allowed range, whether the zero drift of the magnetic sensor module is calibrated, and whether the output impedance of the power supply module matches the load requirements. If the self-checking fails, the display module outputs a fault code and suspends the subsequent process until the exception is excluded by manual intervention.

[0073] Through the above hardware initialization steps, a complete measurement and control hardware system including power supply, signal driving, data acquisition and human-computer interaction is constructed, providing a highly consistent basic environment for subsequent manual testing and automatic measurement and control programs.

[0074] For step S2, in the present embodiment, the manual preliminary test step is used to verify the basic functions of the magnetic control mechanism and the preliminary compatibility of the hardware system, to ensure the reliable execution of the subsequent automatic measurement and control program.

[0075] In the parameter setting stage, the initial drive parameters are set through the human-computer interaction interface of the control module. The initial drive parameters include the initial voltage value, the initial closing pulse duration and the initial opening pulse duration.

[0076] Preferably, the initial voltage value is set to the middle value in the rated working voltage range of the magnetic control mechanism, and the initial closing pulse duration and the initial opening pulse duration are determined based on the theoretically calculated values of the electromagnetic characteristics of the magnetic control mechanism.

[0077] After the parameter setting is completed, the control module sends parameter instructions to the drive module and the power supply module. The drive module generates pulse signals of corresponding duration according to the instructions, and the power supply module outputs a direct current voltage matching the set voltage value.

[0078] During the manual opening / closing operation process, the operator triggers the opening or closing instruction through the man-machine interface, and the drive module generates a drive current signal with a preset pulse width after receiving the instruction. The drive current signal is applied to the control coil of the magnetic control mechanism after power amplification, and the drive moving iron core completes the opening or closing action.

[0079] Preferably, the amplitude of the drive current signal is maintained constant through closed-loop feedback control. Specifically, the current sensor collects the drive loop current value in real time, and performs proportional-integral (PI) adjustment with the set target value, dynamically adjusts the on-duty ratio of the power device, so as to eliminate the current deviation introduced by load change or line impedance fluctuation.

[0080] In the action verification link, the magnetic sensor module monitors the magnetic field change in the moving process of the moving iron core in real time, and combines the signals of the position sensor or mechanical limit switch to judge whether the moving iron core has completed the opening or closing stroke.

[0081] Preferably, if the magnetic sensor is used to indirectly determine the action state, the characteristic time points corresponding to the starting point and the ending point of the moving iron core movement are extracted by analyzing the change curve of the magnetic field strength with time, and the actual action time is calculated and compared with the expected value. If the actual action time exceeds the preset tolerance range, or the moving iron core does not reach the target position, it is determined that the operation is abnormal.

[0082] In the abnormal processing process, if the manual test fails, the control module outputs the abnormal type code and the possible fault source through the display module, such as "insufficient drive current", "abnormal residual magnetism direction" or "mechanical jam". The operator checks the hardware connection reliability, power module output stability or mechanical structure freedom according to the prompt information, and recalibrates the installation position of the magnetic sensor module or adjusts the initial drive parameters if necessary.

[0083] Preferably, the abnormal processing procedure supports parameter quick reset function, which restores the drive parameters to default values through one-key reset instruction, avoiding test interruption caused by misoperation.

[0084] Preferably, the manual test stage includes multiple opening and closing alternating operations to verify the thermal stability of the magnetic control mechanism under continuous action. Specifically, the opening and closing instructions are repeatedly triggered within a set time interval, and the temperature sensor monitors the temperature rise of the control coil. If the temperature rise rate exceeds the safety threshold, the test is automatically paused and an overheat warning is issued.

[0085] Through the above-mentioned manual preliminary test step, the configuration error of the hardware system, the parameter setting error or the mechanical assembly defect can be effectively identified, and a reliable initial environment is provided for the execution of the subsequent automatic test and control program. Meanwhile, through the man-machine cooperative verification mechanism, the controllability and intervention ability of the operator to the test process are ensured, and the damage of the equipment or the data distortion caused by the blind execution of the automatic process is avoided.

[0086] For step S3, in the embodiment, the automatic test and control program step realizes the automatic adaptation and performance verification of the drive parameters of the magnetic control mechanism through the phased parameter adjustment, the residual magnetism dynamic monitoring and the closed-loop iterative optimization, and specifically includes the stability verification, the critical parameter calibration, the residual magnetism control and the multi-round optimization and other core links.

[0087] In the stability test phase, the control module continuously executes the tripping and closing operations multiple times based on the initial drive parameters, and the operation interval is set to be a minimum time window sufficient to avoid the influence of the coil temperature rise. During the operation, the magnetic sensor module collects the magnetic field strength variation curve of the moving iron core in the whole cycle, and combines the current waveform fed back by the drive module to calculate the action time consistency of each operation.

[0088] Preferably, the determination standard of the action time consistency is whether the statistical variance is lower than the preset threshold value, and if the threshold value is exceeded, it is determined that the stability is insufficient, and the initial parameters need to be recalibrated in the manual test phase.

[0089] In the parameter decreasing test phase, a stepwise adjustment strategy is adopted to gradually approach the critical parameters of the magnetic control mechanism action. For the closing pulse length, the preset step is decreased, and multiple closing tests are performed at each adjusted pulse length to monitor the contact state and the moving iron core arrival signal.

[0090] Preferably, the contact state is determined by contact resistance measurement or optical position sensor, and if the contact resistance exceeds the safe range or the moving iron core does not reach the preset position, the current pulse length is determined as the closing critical value and the decreasing is terminated. For the tripping pulse length, a finer step is used to decrease, and through the monitoring of the moving iron core reset time and the feedback signal of the tripping position sensor, the minimum reliable pulse length of the tripping operation is determined.

[0091] In the residual magnetism evaluation and control phase, the magnetic sensor module collects the residual magnetism data after the tripping or closing operation in real time, and the data includes the residual magnetism direction and strength. The control module determines whether the residual magnetism direction is consistent with the preset working magnetic field direction through the polarity analysis algorithm, and if the directions are opposite, a reverse demagnetization pulse sequence is generated to eliminate the reverse residual magnetism.

[0092] Preferably, the amplitude and duration of the reverse demagnetization pulse sequence are dynamically adjusted based on the current residual magnetization strength, specifically determined by table lookup or linear interpolation method. For residual magnetization, if it exceeds the preset safe threshold range, the parameter adjustment mechanism is automatically triggered, including but not limited to increasing pulse duration, switching power supply voltage or inserting demagnetization interval, until the residual magnetization returns to the controllable interval.

[0093] In the closed-loop test optimization phase, the control module builds a parameter optimization model based on the previous test data, and gradually approaches the optimal driving parameter combination through multiple iterations. In each test, the closing and opening pulse duration is fine-tuned based on gradient descent method or genetic algorithm, and the adjustment amplitude is proportional to the deviation of residual magnetization and action time.

[0094] Preferably, the optimization model introduces a weighted scoring mechanism, which integrates the action time, residual magnetization and contact resistance according to the preset weight, and selects the parameter combination with the highest score as the optimal solution for the current round. The termination condition of the closed-loop test is set to the continuous multiple rounds of score improvement amplitude below the set threshold or reaching the maximum iteration rounds, to ensure the optimization efficiency and convergence.

[0095] Preferably, during the parameter adjustment process, if continuous operation abnormalities of the magnetic control mechanism are detected (such as three or more test failures), the redundant voltage mode is automatically switched to. Specifically, the control module increases the output voltage of the power supply module to a higher gear, overcomes the possible mechanical resistance or residual magnetism interference by increasing the driving torque, and re-executes the parameter decrement test and closed-loop optimization process at this voltage.

[0096] Through the above automatic measurement and control program steps, the dynamic adaptation and closed-loop verification of the magnetic control mechanism driving parameters are realized, ensuring its action reliability and residual magnetism controllability under complex working conditions, providing a high-confidence data basis for the final parameter output.

[0097] For step S4, in the present embodiment, the result display and storage step is used to comprehensively process and persistently save the data output by the automatic measurement and control program, ensuring the visualization of the optimal driving parameters and the traceability of the historical data, which is realized through data calculation, visualization interface generation and storage architecture design.

[0098] In the optimal driving parameter calculation phase, the control module builds a comprehensive evaluation model based on the multi-dimensional data collected in the closed-loop test phase. The data includes but is not limited to the critical closing / opening pulse duration, residual magnetization distribution, action time standard deviation and contact resistance value.

[0099] Preferably, the comprehensive evaluation model uses a weighted scoring algorithm to normalize and calculate the comprehensive score of each index according to the preset weight, and the specific formula is:

[0100] Score = w1 · f(T action ) + w2 · g(B remanence ) + w3 · h(R contact )

[0101] where T action is the action time stability index, B remanence is the residual magnetism intensity deviation, R contact is the contact resistance consistency, w1, w2, w3 are weight coefficients, and f, g, h are normalization functions of each index. By traversing the data of all test rounds, the parameter combination with the highest comprehensive score is selected as the final optimal driving parameter.

[0102] In the visualization display stage, the display module generates a multi-dimensional data interaction interface, specifically including:

[0103] Residual magnetism-pulse duration relationship curve: taking pulse duration as the abscissa and residual magnetism intensity as the ordinate, the residual magnetism distribution trend under different parameters is plotted;

[0104] Action time distribution histogram: the frequency distribution of opening / closing action time in each test round is counted, and the action time interval corresponding to the optimal parameters is marked;

[0105] Parameter comparison table: the numerical difference between the optimal parameters and the initial parameters and the performance improvement ratio are displayed in table form.

[0106] Preferably, the interaction interface supports touch operation, allowing users to click on specific data points to view detailed information, such as the original magnetic field waveform or driving current time sequence diagram of a certain test.

[0107] In the data storage stage, a hierarchical storage architecture is adopted to classify and save the test process data and optimization results. The original test data (including driving current waveform, magnetic field intensity time sequence, action time record) is named with a timestamp and stored by test round to ensure the time sequence consistency of data retrieval. The optimization result data (optimal parameter combination, comprehensive evaluation score, key index statistical value) is stored in a structured format (such as JSON or CSV) and attached with a metadata description file, recording the test environment conditions (such as temperature, power voltage) and hardware configuration version.

[0108] Preferably, the storage module supports network transmission protocols, allowing data to be synchronized to remote servers or cloud databases, facilitating subsequent cross-device data comparison and analysis.

[0109] Preferably, the result display and storage steps include a data integrity verification mechanism. During storage, the control module generates a data verification code through a hash algorithm and saves it together with the data content. When historical data is called, the verification code is recalculated and compared with the stored value. If they are inconsistent, data repair or alarm prompts are triggered to ensure the reliability of stored data.

[0110] Through the above results show and storage steps, the full life cycle management of test data from dynamic acquisition to static archiving is realized, which provides standardized data support for parameter deployment, fault backtracking and performance optimization of the magnetic control vacuum circuit breaker. Meanwhile, through the humanized design of the visual interface, the understanding threshold of the user for complex data is reduced, and the operation convenience of the parameter optimization process is improved.

[0111] In a preferred embodiment of the present application, the method further comprises a multi-voltage mode test, specifically:

[0112] The switching power module outputs to different voltage values;

[0113] The measurement and control process of steps 2 to 4 is independently performed for each voltage value, and the corresponding optimal parameters are obtained.

[0114] In the preferred embodiment, the multi-voltage mode test is used to expand the parameter adaptation range of the magnetic control vacuum circuit breaker driver. By independently performing the measurement and control process under different power supply voltages, the optimal driving parameters matching each voltage value are obtained, which is specifically realized by voltage dynamic switching, independent measurement and control process execution, and parameter correlation mapping.

[0115] Voltage switching and test environment initialization:

[0116] The control module sends a voltage switching instruction to the power module to adjust the output voltage to a plurality of preset discrete voltage values (such as DC220V, DC360V, DC380V). Preferably, the power module is designed in combination with a multi-tap transformer and a programmable DC-DC converter, supporting wide range voltage output and millisecond level switching response. After the voltage switching is completed, the control module recalibrates the zero point offset of the magnetic sensor module to eliminate the magnetic field detection reference drift caused by voltage change.

[0117] Independent measurement and control process execution:

[0118] For each voltage value, the full process of manual preliminary test (S2), automatic measurement and control program (S3), and result display and storage (S4) is sequentially executed. Specifically, the optimal driving parameters (such as closing / opening pulse duration) obtained under a certain voltage are only bound to that voltage value, and the measurement and control data and optimization results under different voltages are independently stored. Preferably, the execution order of the measurement and control process supports parallel or serial mode:

[0119] Serial mode: sequentially executed in ascending or descending order of voltage value, suitable for single device test scenario;

[0120] Parallel mode: different voltages and driving signals are output synchronously through multiple power modules and driving modules, suitable for batch testing of multiple magnetic control mechanisms.

[0121] Voltage-parameter adaptation mechanism:

[0122] In the automatic test and control program (S3), the parameter optimization strategy is dynamically adjusted for different voltage values. For example, at a lower voltage (such as DC 220V), due to the decrease in driving torque, the closing pulse duration adjustment step in the closed-loop test phase is correspondingly reduced to avoid action failure caused by insufficient pulse duration; at a higher voltage (such as DC 380V), the decreasing step of the opening pulse duration is increased to speed up the critical value calibration process. Preferably, the adjustment strategy is realized by table lookup method, and the recommended step range and parameter weight coefficient corresponding to different voltages are stored in the table.

[0123] Data storage and correlation analysis:

[0124] The test data and optimal parameters at all voltages are stored in categories according to voltage values, and a voltage-parameter mapping relationship database is established. Each record in the database contains voltage value, optimal pulse duration, residual magnetic control threshold and action time stability index. Preferably, the database supports cross-voltage query function, for example, after inputting the target action time range, the voltage-parameter combination that meets the conditions is automatically selected, providing data support for multi-working condition deployment of the magnetic control mechanism.

[0125] Extended function: voltage adaptive mode

[0126] Preferably, the multi-voltage mode test can be further extended to voltage adaptive control function. In actual application, the magnetic control vacuum circuit breaker automatically calls the optimal driving parameters matched with the voltage in the database according to the real-time voltage fluctuation of the power grid, realizing dynamic parameter adaptation. For example, when detecting that the grid voltage fluctuates from DC 360V to DC 380V, the control module extracts the closing / opening pulse duration corresponding to DC 380V from the database and updates the configuration parameters of the driving module, ensuring that the action reliability is not affected by voltage fluctuation.

[0127] Through the above multi-voltage mode test steps, the invention realizes full-voltage domain coverage of the driving parameters of the magnetic control mechanism, significantly improves the adaptability of the magnetic control vacuum circuit breaker in complex power supply environment, and provides bottom-layer data support for parameter self-correction in voltage fluctuation scenarios.

[0128] In summary, the invention provides a cooperative process of hardware initialization, manual test calibration, parameter decrement optimization and closed-loop iterative verification, combined with dynamic monitoring of residual magnetic direction and intensity and demagnetization pulse control, to realize automatic adaptation of driving parameters; further introducing multi-voltage mode test to generate voltage-parameter mapping table, solving the problems of traditional debugging relying on manual experience, residual magnetic accumulation causing action failure and poor adaptability in multi-scenario voltage fluctuation, significantly improving the action reliability and debugging efficiency of the magnetic control mechanism, and providing a high-robustness driving control solution for smart grid equipment.

[0129] Reference is made to the accompanying drawings Figure 3 The application also provides a magnetic control vacuum circuit breaker driver parameter automatic measurement and control system for executing the above method, characterized in that it comprises:

[0130] a power module for providing multi-voltage output and supporting dynamic switching;

[0131] a control module for coordinating test procedures, issuing control instructions and processing data;

[0132] a driving module for generating a driving signal with adjustable pulse length according to the control module instructions;

[0133] a magnetic sensor module for real-time monitoring of the residual magnetization direction and size of the magnetic control mechanism;

[0134] a display module for visualizing test data and optimal parameters;

[0135] a data storage module for storing test process data and optimization results.

[0136] Although embodiments of the application have been shown and described, it is to be understood that various modifications, substitutions, replacements and changes can be made to these embodiments without departing from the principles and spirit of the application, and the scope of the application is defined by the appended claims and their equivalents.

Claims

1. An automatic measurement and control method for the parameters of a magnetically controlled vacuum circuit breaker actuator, characterized in that, Includes the following steps: Step 1, Hardware Initialization: Connect the power module, control module, drive module and magnetic sensor module, turn on the power and select the test mode; Step 2, Manual Preliminary Test: Set initial drive parameters and perform manual opening and closing operations to verify the basic functions of the magnetic control mechanism; the initial drive parameters include: initial voltage value, initial closing pulse duration, and initial opening pulse duration; Step 3, execute the automatic measurement and control program: Perform multiple normal opening and closing operations to assess stability; Gradually adjust the duration of the opening and closing pulses until an operational abnormality occurs, and record the critical parameters. Real-time monitoring of the direction and magnitude of residual magnetism, and dynamic adjustment of driving parameters to meet residual magnetism requirements; Perform multiple rounds of closed-loop testing to iteratively optimize parameters: each round of testing fine-tunes the driving parameters based on the results of the previous round of testing; Step 4, Result Display and Storage: Based on the critical parameters, remanence range and stability index, data fitting calculation is performed, and the optimal parameter combination with comprehensive performance is determined by combining the iterative results of multiple rounds of closed-loop testing. This optimal driving parameter is then output and the test data is stored.

2. The automatic measurement and control method for the parameters of a magnetically controlled vacuum circuit breaker driver according to claim 1, characterized in that, The test modes in step 1 include: Simulated switch test mode: Simulates real switch operating conditions by installing final pressure contact spring and opening spring; Real switch test mode: Directly connect to an actual magnetically controlled vacuum circuit breaker for testing.

3. The automatic measurement and control method for the parameters of a magnetically controlled vacuum circuit breaker driver according to claim 1, characterized in that, The specific operation of gradually adjusting the duration of the opening and closing pulses in step 3 is as follows: Decrease the closing pulse duration by a preset step size and perform multiple closing tests until an operation abnormality occurs. The tripping pulse duration is decreased by a preset step size, and multiple tripping tests are performed until an operational abnormality occurs.

4. The automatic measurement and control method for the parameters of a magnetically controlled vacuum circuit breaker driver according to claim 1, characterized in that, The real-time monitoring of the direction and magnitude of remanence in step 3 includes: By collecting residual magnetism data using a magnetic sensor, it can be determined whether the direction of residual magnetism is positive. If the direction of residual magnetism is not positive or its magnitude exceeds the preset threshold, the drive parameters will be automatically adjusted and the test will be repeated.

5. The automatic measurement and control method for the parameters of a magnetically controlled vacuum circuit breaker driver according to claim 1, characterized in that, The dynamic adjustment of driving parameters in step 3 includes at least one of the following methods: Adjust the duration of the closing or opening pulse; Switch the output voltage of the power module; Modify the iteration rounds of the closed-loop test.

6. The automatic measurement and control method for the parameters of a magnetically controlled vacuum circuit breaker driver according to claim 1, characterized in that, It also includes multi-voltage mode testing: Switch the power module output to different voltage values; For each voltage value, the measurement and control process from step 2 to step 4 is executed independently to obtain the corresponding optimal parameters.

7. An automatic measurement and control system for the parameters of a magnetically controlled vacuum circuit breaker driver, used to execute the method as described in any one of claims 1-6, characterized in that, include: The power module is used to provide multiple voltage outputs and support dynamic switching; The control module is used to coordinate the test process, issue control commands, and process data. The drive module generates a drive signal with adjustable pulse duration according to the instructions of the control module. The magnetic sensor module monitors the direction and magnitude of the residual magnetism of the magnetic control mechanism in real time. The display module is used to visualize test data and optimal parameters; The data storage module is used to store test process data and optimization results.

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