Intelligent control system and method for circuit breaker for circuit safety regulation

Abstract

The present invention discloses an intelligent control system and method for circuit breakers for circuit safety regulation, which relates to the field of circuit breaker control technology, and specifically includes the following steps: within a critical impact time window, real-time acquisition of circuit breaker instantaneous impact response information, evaluation of whether the impact current borne by the circuit breaker at the moment of power grid power recovery is within a normal acceptable range, and generation of normal signals and abnormal signals according to the evaluation results; in the case of generating an abnormal signal, acquisition of impact information of the impact current borne by the circuit breaker at the moment of power grid power recovery on the circuit breaker, evaluation of the impact degree of the impact current on the circuit breaker, and classification into three categories of slight impact, medium impact and severe impact. The present invention solves the problem that the circuit breaker cannot accurately evaluate the impact current at the moment of abnormal power grid recovery, realizes intelligent dynamic adjustment, and improves power supply stability and circuit breaker protection accuracy.

Description

Technical Field

[0001] The present invention relates to the technical field of circuit breaker control and management, and in particular to an intelligent circuit breaker control and management system and method for circuit safety regulation. Background Art

[0002] A circuit breaker is an automatic switching device used for fault protection such as circuit overload and short circuit. It can quickly disconnect the power supply under abnormal conditions to prevent equipment damage and fire risks. Circuit breakers for circuit safety regulation not only have basic protection functions, but can also dynamically adjust according to parameters such as current and voltage to improve power distribution efficiency and reduce false triggering. However, with the increasing complexity of the power grid, traditional control methods are difficult to meet the needs of refined management, so intelligent management and control are needed. Remote monitoring and control can be achieved through the Internet of Things technology. Combined with artificial intelligence and big data analysis, faults can be predicted, protection strategies can be optimized, system stability can be improved, human intervention can be reduced, and power grid safety and energy efficiency can be improved.

[0003] The existing intelligent control technology for circuit breakers used for circuit safety regulation mainly monitors, analyzes and adjusts circuit breakers in real time through sensors, control algorithms and communication networks. First, the current, voltage and temperature sensors integrated in the circuit breaker continuously collect data from the power system and transmit it to the microprocessor or embedded control unit for analysis. When the system detects abnormal current, overload or short circuit, the intelligent control system can quickly determine the type of fault and accurately trigger the circuit breaker to disconnect the circuit through the actuator to avoid equipment damage. At the same time, this technology is usually equipped with artificial intelligence (AI) algorithms and big data analysis capabilities, which can predict potential faults such as load imbalance, voltage fluctuations, line aging, etc. based on historical operating data, and adjust the protection parameters of the circuit breaker in advance to optimize the response speed. In addition, relying on the Internet of Things (IoT) and cloud computing, circuit breakers can be remotely managed, and operation and maintenance personnel can monitor the power status in real time through mobile terminals or cloud platforms, remotely adjust the circuit breaker action parameters or perform self-test functions to reduce the cost and time of manual inspections. Some advanced systems also use wireless communication technologies (such as 5G, NB-IoT, LoRa) to ensure stable and low-latency information transmission between devices and improve the efficiency of intelligent control. In summary, the existing intelligent management and control technology not only improves the precise protection capability of circuit breakers, but also enhances the intelligence level of power grid management, making circuit safety regulation more efficient and reliable.

[0004] The prior art has the following deficiencies:

[0005] In industrial power supply, when a transient grid fluctuation (such as voltage drop or short-term power outage) occurs, power is usually restored in a short time. At this time, a large number of inductive loads (such as motors and transformers) will be reconnected to the grid at the same time, causing the current to rise sharply instantly, forming a short-term high current shock. Since these inductive loads will generate a higher inrush current when starting, the current may far exceed the normal operating state in a short time, but this does not mean that the circuit has a real short circuit or overload fault. However, the existing intelligent control technology for circuit breakers used for circuit safety regulation cannot accurately evaluate whether the impact current that the circuit breaker bears at the moment of abnormal grid recovery is within the normal acceptable range, nor can it dynamically adjust the protection threshold of the circuit breaker based on the evaluation result to adapt to different degrees of current shock, making it impossible for the circuit breaker to distinguish between the normal recovery process and the real electrical fault when facing a short-term high current shock. Therefore, intelligent control may misjudge the inrush current shock as a short circuit or overload, causing the circuit breaker to trip incorrectly, thereby affecting the power supply recovery, causing industrial production interruptions, and increasing unplanned downtime and economic losses. On the other hand, if the protection strategy is set too high, the current may not be cut off in time in the event of a real overload or short circuit, causing equipment damage, line overheating, or even electrical fires. Therefore, optimizing the intelligent management and control strategy so that the circuit breaker can accurately assess the short-term current impact after the power grid is restored is one of the key issues in circuit safety regulation.

[0006] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not constitute the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0007] The purpose of the present invention is to provide a circuit breaker intelligent management and control system and method for circuit safety regulation to solve the problems in the above-mentioned background technology.

[0008] In order to achieve the above object, the present invention provides the following technical solution: a method for intelligent control of circuit breakers for circuit safety regulation, which specifically includes the following steps:

[0009] In industrial power supply, real-time monitoring and acquisition of grid transient stability information can be used to analyze whether the grid has experienced transient fluctuations;

[0010] When the power grid experiences instantaneous fluctuations, identify and determine the time period during which the circuit breaker is subjected to current surges at the moment when the power grid is restored, and mark it as the critical surge time window;

[0011] Acquire the instantaneous impulse response information of the circuit breaker in real time within the critical impulse time window, analyze it after acquisition, evaluate whether the impulse current borne by the circuit breaker at the moment of power restoration of the power grid is within the normal acceptable range, and generate normal signals and abnormal signals respectively according to the evaluation results;

[0012] In the case of generating an abnormal signal, the impact information of the impact current on the circuit breaker at the moment of power grid power restoration is obtained, and after acquisition, the impact degree of the impact current on the circuit breaker is evaluated, and it is divided into three categories: slight impact, medium impact and severe impact;

[0013] According to the evaluation results, corresponding safety adjustment measures are taken for circuit breakers under different impact levels;

[0014] After executing safety adjustment measures, the intelligent management and control strategy of the circuit breaker is optimized based on historical data, the false tripping records and short-term impulse response data are analyzed, and the protection threshold of the circuit breaker is dynamically adjusted according to the power grid recovery situation.

[0015] Preferably, in the critical impact time window, the instantaneous impact response information of the circuit breaker is obtained in real time, and analyzed after acquisition to evaluate whether the impact current borne by the circuit breaker at the moment of power grid power restoration is within a normal acceptable range, and a normal signal and an abnormal signal are generated respectively according to the evaluation results, which specifically includes the following steps:

[0016] Acquire the circuit breaker instantaneous impact response information in real time within the critical impact time window and perform preprocessing after acquisition;

[0017] Extracting instantaneous impulse current characteristic information and contact dynamic response characteristic information from the preprocessed instantaneous impulse response information of the circuit breaker, and analyzing them after extraction to generate an impulse current transient deviation index and a circuit breaker contact dynamic response coefficient respectively;

[0018] A circuit breaker impact withstand assessment model is constructed based on the generated impact current transient deviation index and circuit breaker contact dynamic response coefficient. The withstand assessment coefficient is generated by weighted summation. After generation, it is analyzed to assess whether the impact current that the circuit breaker is subjected to at the moment of grid power restoration is within a normal and acceptable range. Normal signals and abnormal signals are generated according to the assessment results.

[0019] Preferably, the acquisition logic of the impulse current transient deviation index and the circuit breaker contact dynamic response coefficient is as follows:

[0020] The transient impulse current characteristic information is extracted from the preprocessed transient impulse response information of the circuit breaker, including the current value borne by the circuit breaker at different times in the critical impulse time window when the power grid is restored, the current change rate, and the reference current value of the circuit breaker under normal operation, and calibrated as , and , Indicates the critical impact time window when the circuit breaker is subjected to current impact at the moment of power restoration in the power grid The current value at any moment, Indicates the critical impact time window when the circuit breaker is subjected to current impact at the moment of power restoration in the power grid The rate of change of the current at any moment, Indicates the reference current value of the circuit breaker under normal operation. , is a positive integer;

[0021] The rate of change of the current borne by the circuit breaker at different moments in the critical impact time window when the power grid is restored is constructed into a set, and the maximum value in the set is calibrated as ;

[0022] Calculate the transient deviation index of the impulse current. The specific calculation formula is as follows: In the formula, is the transient deviation index of the impulse current;

[0023] The dynamic response characteristic information of the contacts in the preprocessed transient impulse response information of the circuit breaker is extracted, including the movement speed of the contacts and the current value of the electromagnetic coil at different times in the critical impulse time window when the circuit breaker is subjected to the current impulse at the moment of power grid recovery, and calibrated as and , Indicates the critical impact time window when the circuit breaker is subjected to current impact at the moment of power restoration in the power grid The movement speed of the contact at any moment, Indicates the critical impact time window when the circuit breaker is subjected to current impact at the moment of power restoration in the power grid Current value of electromagnetic coil at the moment;

[0024] The movement speed of the contacts at different moments in the critical impact time window when the circuit breaker is subjected to the current impact at the moment of power grid recovery is constructed into a set, and the maximum and minimum values ​​in the set are marked as and ;

[0025] The current values ​​of the electromagnetic coil at different times in the critical impact time window when the circuit breaker is subjected to the current impact at the moment of power grid recovery are constructed into a set, and the maximum value in the set is calibrated as ;

[0026] Calculate the dynamic response coefficient of the circuit breaker contacts. The specific calculation formula is as follows: In the formula, is the dynamic response coefficient of the circuit breaker contacts.

[0027] Preferably, the transient deviation index of the generated impulse current and circuit breaker contact dynamic response coefficient Construct a circuit breaker impact withstand assessment model and generate the withstand assessment coefficient through weighted summation , the specific calculation formula is: ,in and They are respectively the impulse current transient deviation index and circuit breaker contact dynamic response coefficient The non-zero weight coefficient of ;

[0028] Determine the pre-set threshold value of the withstand assessment factor , and after determination, the generated withstand assessment coefficient A comparison is performed to evaluate whether the impact current that the circuit breaker bears at the moment of power grid power restoration is within the normal acceptable range based on the comparison results, and normal signals and abnormal signals are generated respectively based on the evaluation results. The specific comparison and analysis are as follows:

[0029] like , the impact current that the circuit breaker bears at the moment of grid power restoration is within the normal acceptable range, generating a normal signal;

[0030] like ,The inrush current that the circuit breaker bears at the moment of grid power restoration ,is not within the normal acceptable range, ,generating an abnormal signal.

[0031] Preferably, in the case of generating an abnormal signal, the impact information of the impact current on the circuit breaker borne by the circuit breaker at the moment of power grid power restoration is obtained, and after acquisition, the impact degree of the impact current on the circuit breaker is evaluated, and it is divided into three categories of slight impact, medium impact and severe impact, which specifically includes the following steps:

[0032] In the case of generating an abnormal signal, obtaining the impact information of the impact current on the circuit breaker when the power of the power grid is restored, and performing preprocessing after obtaining;

[0033] Extracting the impulse current fluctuation characteristic information and the contact force distribution characteristic information from the pre-processed impulse information, and analyzing them after extraction to generate the impulse current fluctuation intensity coefficient and the impulse load distribution index respectively;

[0034] An impact degree analysis model is constructed for the generated impact current fluctuation intensity coefficient and impact load distribution index. The impact assessment coefficient is generated by weighted summation. After generation, it is analyzed to evaluate the impact degree of the impact current on the circuit breaker and divide it into three categories: slight impact, medium impact and severe impact.

[0035] Preferably, the acquisition logic of the impulse current fluctuation intensity coefficient and the impulse load distribution index is as follows:

[0036] The impulse current fluctuation characteristic information is extracted from the preprocessed impulse information, including the impulse current offset, impulse current peak deviation rate and impulse current standard deviation within the critical impulse time window, and calibrated as , and ,in: is the impact current offset, which represents the mean deviation between the impact current values ​​at all times within the critical impact time window and the average impact current value within the window; is the impulse current peak deviation rate, which means the ratio of the maximum impulse current value of the impulse current at all times within the critical impulse time window to the root mean square current value within the window; is the standard deviation of the impulse current, which represents the standard deviation of the current values ​​of the impulse current at all times within the critical impulse time window;

[0037] Calculate the impulse current fluctuation intensity coefficient. The specific calculation formula is as follows: In the formula, is the impulse current fluctuation intensity coefficient;

[0038] The contact force distribution characteristic information in the preprocessed impact information is extracted, specifically including the maximum force value and the minimum force value of the circuit breaker contact under the impact of the impact current within the critical impact time window and the root mean square value of the force value of the circuit breaker contact under the impact of the impact current at all times within the window, and calibrated as , and , It indicates the maximum force value of the circuit breaker contacts under the impact of the impact current within the critical impact time window. It indicates the minimum force value of the circuit breaker contacts under the impact of the impact current within the critical impact time window. It represents the RMS value of the force value of the circuit breaker contacts at all times under the impact of the impact current within the critical impact time window;

[0039] Calculate the impact load distribution index. The specific calculation formula is as follows: In the formula, is the impact load distribution index.

[0040] Preferably, the generated impulse current fluctuation intensity coefficient and impact load distribution index Construct an impact degree analysis model and generate an impact assessment coefficient through weighted summation , the specific calculation formula is: ,in and They are respectively the impulse current fluctuation intensity coefficient and impact load distribution index The non-zero weight coefficient of ;

[0041] Determine the pre-set impact assessment coefficient threshold range , and after determination, the impact assessment coefficient generated Compare and evaluate the impact degree of the impact current on the circuit breaker according to the comparison results, and divide it into three categories: slight impact, medium impact and severe impact. The specific comparison analysis is as follows:

[0042] like , the impact degree of the impact current on the circuit breaker is a slight impact;

[0043] like , the impact degree of the impact current on the circuit breaker is medium impact;

[0044] like The impact of the impact current on the circuit breaker is a severe impact.

[0045] Preferably, according to the evaluation results, corresponding safety adjustment measures are taken for circuit breakers under different impact levels, specifically:

[0046] For situations where the assessment result is severe impact, the specific safety adjustment measures taken are: immediately triggering the high-priority circuit breaker protection mechanism, adjusting the overcurrent protection parameters of the circuit breaker, increasing the short-time current tolerance upper limit, and synchronously starting the emergency reset procedure; shortening the action time under short-circuit and overload conditions; sending high-priority alarm information to the power management system, and storing the impact event data;

[0047] For situations where the assessment result is a medium impact, the specific safety adjustment measures taken are: triggering the medium priority circuit breaker adjustment mechanism to dynamically adjust the short-time current tolerance threshold; optimizing the circuit breaker breaking time setting to maintain normal protection capabilities under non-extreme conditions; sending medium priority warning information to the operation and maintenance management system and recording the impact data;

[0048] For situations where the assessment result is a minor impact, the specific safety adjustment measures taken are: keep the existing protection parameters of the circuit breaker unchanged; continuously monitor the operating status of the circuit breaker and store the impact data; and periodically adjust the protection strategy based on changes in historical impact data.

[0049] Preferably, the circuit breaker intelligent management and control system for circuit safety regulation includes a power grid transient stability monitoring module, a key impact window identification module, an impact response evaluation module, an impact degree classification module, an intelligent safety regulation module, and an intelligent adaptive optimization module;

[0050] The grid transient stability monitoring module monitors and obtains grid transient stability information in real time in industrial power supply, and analyzes whether the grid has transient fluctuations;

[0051] The critical impact window identification module identifies and determines the time period when the circuit breaker is subjected to current impact at the moment of power restoration when the power grid experiences instantaneous fluctuations, and marks it as the critical impact time window;

[0052] The impulse response evaluation module obtains the instantaneous impulse response information of the circuit breaker in real time within the critical impulse time window, and analyzes it after acquisition to evaluate whether the impulse current borne by the circuit breaker at the moment of power restoration of the power grid is within the normal acceptable range, and generates normal signals and abnormal signals respectively according to the evaluation results;

[0053] The impact degree classification module, when generating an abnormal signal, obtains the impact information of the impact current on the circuit breaker at the moment of power restoration of the power grid, analyzes it after obtaining it, evaluates the impact degree of the impact current on the circuit breaker, and divides it into three categories: slight impact, medium impact and severe impact;

[0054] Intelligent safety adjustment module, based on the evaluation results, takes corresponding safety adjustment measures for circuit breakers under different impact levels;

[0055] The intelligent adaptive optimization module optimizes the intelligent management and control strategy of the circuit breaker based on historical data after executing safety adjustment measures, analyzes the false tripping records and short-term impulse response data, and dynamically adjusts the protection threshold of the circuit breaker according to the power grid recovery situation.

[0056] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0057] 1. The present invention monitors the transient stability information of the power grid in real time, accurately identifies the current impact characteristics of the power grid at the moment of abnormal recovery, and then constructs a key impact time window, effectively avoiding the problem of circuit breaker false tripping or protection failure caused by short-term high current impact at the moment of power grid recovery in the prior art. By extracting the transient impact response information and constructing a mathematical model based on the impact current fluctuation intensity and the dynamic response characteristics of the contact, it is possible to quantitatively analyze the impact of the impact current, and judge whether the impact current is within a normal acceptable range based on the dynamically calculated evaluation coefficient. Compared with the traditional fixed threshold circuit breaker protection strategy, the present invention can adapt to different load environments and power grid recovery modes, so that the circuit breaker can more accurately identify real short-circuit faults and normal impact current fluctuations, avoid misjudgment caused by fixed parameters, and improve the current bearing capacity of the circuit breaker and the stability of power grid operation.

[0058] 2. When generating an abnormal signal, the present invention further obtains information on the impact of the impact current on the circuit breaker, and through the impact degree classification model, combined with the impact current fluctuation characteristic information and the contact force distribution characteristic information, accurately evaluates the impact of the impact on the circuit breaker, and divides it into three situations: slight impact, moderate impact and severe impact. Through intelligent adjustment strategies, the protection parameters of the circuit breaker are adaptively adjusted under different impact levels, such as increasing the short-time withstand current, adjusting the disconnection time, triggering the protection mechanism, etc., so as to ensure that a reasonable circuit breaker action strategy can be maintained under different impact conditions. Compared with traditional static protection methods, this dynamic adjustment strategy based on impact assessment can effectively reduce the incidence of false tripping and improve power supply stability. At the same time, it ensures that the circuit breaker can still respond quickly in real overload or short circuit conditions to avoid equipment damage or expansion of power grid failures.

[0059] 3. The present invention optimizes the intelligent management and control strategy of the circuit breaker based on historical data, and dynamically adjusts the protection threshold of the circuit breaker through long-term analysis of false tripping records, short-term impulse response data, and power grid recovery mode, so that it can maintain the optimal safety adjustment strategy under different environments. Compared with the existing technology that relies on static protection parameters, the present invention adopts an adaptive optimization method, which can continuously optimize the intelligent management and control level of the circuit breaker by combining historical data trend analysis, pattern recognition, machine learning and other algorithms to ensure that the circuit breaker has stronger adaptability and stability during long-term operation. By continuously optimizing the protection strategy, the circuit breaker can maintain optimal performance under different power grid operating environments, reduce false operations caused by environmental changes, improve the reliability of the industrial power supply system, and at the same time reduce economic losses caused by false tripping or protection failure. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0061] Figure 1 The figure is a flow chart of the intelligent control system and method of circuit breaker for circuit safety regulation of the present invention.

[0062] Figure 2 It is a module schematic diagram of the intelligent control system and method of circuit breaker for circuit safety regulation of the present invention. DETAILED DESCRIPTION

[0063] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these example embodiments are provided so that the description of the present disclosure will be more comprehensive and complete, and the concept of the example embodiments will be fully conveyed to those skilled in the art.

[0064] The present invention provides Figure 1 The circuit breaker intelligent control method for circuit safety regulation shown in the figure specifically includes the following steps:

[0065] In industrial power supply, real-time monitoring and acquisition of grid transient stability information can be used to analyze whether the grid has experienced transient fluctuations;

[0066] In order to monitor and obtain the transient stability information of the power grid in real time in industrial power supply, this method can be implemented by software technologies such as intelligent data acquisition, time series data analysis, and abnormal fluctuation identification. First, key data such as voltage, current, frequency, and power factor are collected through intelligent sensors and power monitoring systems, and the data is uploaded to the intelligent management and control platform. Secondly, based on the short-time Fourier transform (STFT), the voltage fluctuation is analyzed in time series, the short-time oscillation characteristics of the power grid are extracted, and the parameters such as the voltage fluctuation amplitude, the current impact degree, and the instantaneous load change rate are calculated to evaluate the transient stability of the power grid. Then, through the threshold adaptive adjustment algorithm, the historical data of the power grid fluctuation is learned, and the dynamic threshold is set to ensure that the system can adapt to different power supply environments. Finally, using the anomaly detection algorithm, when the power grid voltage drops or the power is cut off for a short time in a very short time, it is immediately judged whether it is a transient fluctuation, and the subsequent analysis process is triggered to ensure that the circuit breaker can correctly respond to abnormal power grid fluctuations.

[0067] The main purpose of adopting this method is to ensure that the intelligent management and control system of the circuit breaker can accurately identify whether the power grid has instantaneous fluctuations, thereby providing reliable data support for subsequent impact current analysis and protection strategies. The traditional fixed threshold monitoring method cannot adapt to the characteristics of the power grid in different industrial environments, which can easily lead to misjudgment or missed judgment, affecting the protection strategy of the circuit breaker. Through intelligent data acquisition and real-time timing analysis, short-term abnormal fluctuations in the power grid can be captured more accurately, thereby effectively distinguishing between instantaneous fluctuations and continuous power supply anomalies. In addition, combined with the dynamic threshold optimized by machine learning, the system can adapt to different working conditions, improve monitoring accuracy, and reduce the misjudgment rate, ultimately ensuring that the circuit breaker can make accurate and safe adjustment decisions when the power grid changes transiently, thereby improving the stability and safety of industrial power supply.

[0068] When the power grid experiences instantaneous fluctuations, identify and determine the time period during which the circuit breaker is subjected to current surges at the moment when the power grid is restored, and mark it as the critical surge time window;

[0069] In order to identify and determine the critical impact time window of the circuit breaker to withstand the current impact at the moment of power restoration in the power grid, it can be achieved through software methods such as instantaneous power grid recovery detection, short-time current mutation analysis, and dynamic time window optimization. First, after the instantaneous fluctuation of the power grid, the system calculates the recovery state of the power grid through the voltage recovery rate and the current recovery change rate, and uses fast Fourier transform and wavelet transform to analyze the mutation signal of the current during the recovery process, and preliminarily screens the possible impact time period. Then, the adaptive time window algorithm is used to dynamically adjust the length of the time window according to the continuity characteristics of the impact current to ensure that the selection of the critical impact time window can accurately cover the entire current impact process. Finally, combined with the abnormal mutation point detection, the inflection point, peak change and attenuation characteristics of the impact current are analyzed, and finally the time interval that best represents the occurrence of the current impact is locked and calibrated as the "critical impact time window".

[0070] The main purpose of this method is to accurately identify the time range in which the circuit breaker is subjected to the impact current at the moment of grid power restoration, so as to ensure that the subsequent data analysis is evaluated based on the correct time window. If intelligent analysis is not used, but judgment is made based on a fixed time period (such as a fixed time after the grid is restored), the following problems may occur: On the one hand, if the time window is set too short, some impact current characteristics may be missed, resulting in misjudgment or underestimation of the impact intensity; on the other hand, if the time window is set too long, irrelevant current data may be introduced, affecting the accuracy of subsequent evaluations. By combining the adaptive time window algorithm with the mutation detection method, it can be ensured that the critical impact time window strictly corresponds to the actual occurrence interval of the current impact, improve the accuracy of the analysis, and avoid false tripping or protection failure, making the intelligent management and control of circuit breakers more accurate and reliable.

[0071] Acquire the instantaneous impulse response information of the circuit breaker in real time within the critical impulse time window, analyze it after acquisition, evaluate whether the impulse current borne by the circuit breaker at the moment of power restoration of the power grid is within the normal acceptable range, and generate normal signals and abnormal signals respectively according to the evaluation results;

[0072] In this embodiment, in the critical impact time window, the instantaneous impact response information of the circuit breaker is obtained in real time, and analyzed after acquisition to evaluate whether the impact current borne by the circuit breaker at the moment of power grid power restoration is within a normal acceptable range, and a normal signal and an abnormal signal are generated respectively according to the evaluation results, which specifically includes the following steps:

[0073] Acquire the circuit breaker instantaneous impact response information in real time within the critical impact time window and perform preprocessing after acquisition;

[0074] Real-time acquisition of circuit breaker instantaneous impact response information within the critical impact time window can be achieved through software methods such as high-frequency data acquisition, timing synchronization and streaming processing. First, after the critical impact time window is locked, the system collects instantaneous current, contact displacement and electromagnetic trigger current data at a high sampling rate through devices such as the circuit breaker's current sensor, displacement sensor and electromagnetic coil current sensor, and inputs these data into the processing unit as a time series stream. Secondly, a time synchronization algorithm is used to ensure that multi-channel data (current, displacement, trigger current) are synchronized under the same time reference to ensure data matching accuracy. Then, the streaming data processing architecture is used to achieve real-time data caching, dynamic sampling rate adjustment and rapid warehousing, ensuring that the data stream is continuously input into the analysis system to avoid affecting the accuracy of subsequent evaluation due to signal loss or storage delay.

[0075] After data acquisition, preprocessing must be performed to remove signal noise, align different data channels, and normalize the numerical range to ensure the stability and accuracy of subsequent calculations. First, an adaptive Kalman filter or low-pass filter is used to remove high-frequency noise and electromagnetic interference in the collected data to improve the stability of the signal. Secondly, a dynamic time warping algorithm is used to time align the current, displacement, and trigger signals to eliminate the timing deviation during data acquisition. Then, the minimum-maximum normalization is used to adjust the values ​​of different signals to a unified range so that data of different physical quantities can be calculated uniformly. Finally, an outlier detection based on statistical analysis (such as the triple standard deviation method) or an outlier detection based on machine learning (such as Isolation Forest) is used to eliminate mutation abnormal data and prevent abnormal sampling points from misleading the evaluation results. Through these preprocessing steps, the data quality of the circuit breaker transient impact response information can be ensured, misjudgment can be reduced, and the accuracy and reliability of intelligent management and control of circuit breakers can be improved.

[0076] Extracting instantaneous impulse current characteristic information and contact dynamic response characteristic information from the preprocessed instantaneous impulse response information of the circuit breaker, and analyzing them after extraction to generate an impulse current transient deviation index and a circuit breaker contact dynamic response coefficient respectively;

[0077] In order to extract the instantaneous impulse current characteristic information and contact dynamic response characteristic information from the preprocessed circuit breaker instantaneous impulse response information, software methods such as signal feature decomposition, time series feature extraction and multi-dimensional feature analysis can be used. First, the preprocessed time series data is subjected to wavelet transform to decompose different frequency components and extract key features in the instantaneous impulse current signal, such as impulse peak value, impulse duration, impulse current change rate, etc., so as to construct the instantaneous impulse current characteristic information. At the same time, the displacement velocity signal of the circuit breaker contact is subjected to empirical mode decomposition to analyze its motion mode, extract the maximum velocity, acceleration change rate, response lag time and other data of the contact, and construct the contact dynamic response characteristic information. Then, principal component analysis is used to reduce the dimensionality of the signal data in multiple dimensions, remove redundant information, and screen out the core characteristic parameters that can most effectively characterize the impulse behavior. Finally, the characteristic vector clustering algorithm is used to classify and organize the extracted characteristic information to ensure that the instantaneous impulse current characteristic information and the contact dynamic response characteristic information are accurately extracted and stored separately for subsequent evaluation and calculation. Through this method, key features can be extracted from complex circuit breaker transient impulse response data to improve the accuracy of impulse current analysis and contact dynamic response evaluation.

[0078] A circuit breaker impact withstand assessment model is constructed based on the generated impact current transient deviation index and circuit breaker contact dynamic response coefficient. The withstand assessment coefficient is generated by weighted summation. After generation, it is analyzed to assess whether the impact current that the circuit breaker is subjected to at the moment of grid power restoration is within a normal and acceptable range. Normal signals and abnormal signals are generated according to the assessment results.

[0079] In this embodiment, the logic for obtaining the impulse current transient deviation index and the circuit breaker contact dynamic response coefficient is as follows:

[0080] The transient impulse current characteristic information is extracted from the preprocessed transient impulse response information of the circuit breaker, including the current value borne by the circuit breaker at different times in the critical impulse time window when the power grid is restored, the current change rate, and the reference current value of the circuit breaker under normal operation, and calibrated as , and , Indicates the critical impact time window when the circuit breaker is subjected to current impact at the moment of power restoration in the power grid The current value at any moment, Indicates the critical impact time window when the circuit breaker is subjected to current impact at the moment of power restoration in the power grid The rate of change of the current at any moment, Indicates the reference current value of the circuit breaker under normal operation. , is a positive integer;

[0081] In order to obtain the current value, current change rate and reference current value at different moments in the critical impact time window when the circuit breaker is subjected to current impact at the moment of power restoration of the power grid, it can be achieved through software methods such as high-frequency data acquisition, timing synchronization processing and data flow analysis. First, the current of the circuit breaker is sampled at high frequency by using a current sensor (such as a Hall current sensor or an electromagnetic mutual inductor), and the instantaneous current value of the circuit breaker is obtained in real time at a sampling rate of milliseconds or higher by combining with a high-precision ADC (analog-to-digital converter), and stored as time series data, so as to obtain the current value at different moments in the critical impact time window. Secondly, the current change rate at adjacent moments, that is, the current change rate, is calculated by using the numerical differentiation method or the sliding window difference method to reflect the dynamic change characteristics of the current impact. In order to ensure the time consistency of the data, the time synchronization algorithm is used to time align multiple signal channels (such as current channel and displacement channel) to ensure that different types of data can be analyzed under the same time reference. In addition, in order to obtain the reference current value of the circuit breaker under normal operation, the system can calculate the reference current based on the current data of the circuit breaker during long-term stable operation through historical operation data analysis and moving average filtering, thereby eliminating the interference of short-term fluctuations on the reference value. Finally, all data is transmitted to the streaming data processing framework in real time, and the data quality is optimized through pre-processing methods such as denoising and anomaly detection to ensure the accuracy of the impact current analysis.

[0082] The rate of change of the current borne by the circuit breaker at different moments in the critical impact time window when the power grid is restored is constructed into a set, and the maximum value in the set is calibrated as ;

[0083] Calculate the transient deviation index of the impulse current. The specific calculation formula is as follows: In the formula, is the transient deviation index of the impulse current;

[0084] The purpose of this calculation formula is to comprehensively measure the instantaneous deviation of the impact current that the circuit breaker is subjected to at the moment of power restoration relative to the normal operating current, and to ensure that the calculation result can accurately reflect the abnormal degree of the impact current. The calculation term is used to characterize the extreme case of the impact current change rate. Since the current mutation is usually nonlinear and the mutation rate has a great impact on circuit safety, the exponential function can amplify the impact of the impact current change rate, so that when the change rate is small, the impact on the overall deviation index is small, and when the change rate is large, its impact increases exponentially, thereby enhancing the sensitivity of the formula to mutation shocks. The absolute value of the instantaneous current deviation The reason for logarithmic transformation is that directly calculating the relative deviation of the current may cause the influence of extreme values ​​to be too large, while taking the logarithm can compress the influence of extreme values, making the calculation results more stable and ensuring that the values ​​are non-negative. This method ensures that whether the impact current is rising or falling, the calculated deviation index can correctly reflect the abnormality of the current, avoiding the defects of small values ​​not being obvious and large values ​​being overly prominent that may be caused by simple linear normalization. In addition, the method of summing and taking the average value is adopted to ensure that the data at all times in the entire critical impact window are considered, rather than relying only on the value at a certain moment, to prevent the calculation results from being too dependent on a single abnormal point, and to improve the robustness of the calculation. This method can capture the impact pattern within the entire time window, rather than just focusing on the maximum or minimum value, making the evaluation more accurate. In summary, the calculation formula amplifies the impact of mutations through exponential operations, smoothes the impact of deviations through logarithmic operations, and ensures overall representativeness through mean calculation. Finally, it can accurately evaluate the impact current fluctuation of the circuit breaker at the moment of power grid recovery, and provide a stable and accurate deviation index for further analysis and control.

[0085] Inrush current transient deviation index The size of directly reflects the deviation of the impact current that the circuit breaker bears at the moment of grid power recovery relative to the normal operating current, and determines whether the impact current is within the normal acceptable range. When the value is small, it means that within the critical impact window, the current fluctuation of the circuit breaker is small, the current change rate is low, and the overall current level is close to the normal operating current, which indicates that the current impact is within the normal acceptable range and will not have a significant impact on the stability and safety of the circuit breaker. When the value is large, it means that the circuit breaker has experienced a large current mutation, especially when the impact current change rate is high, the exponential operation will make Rapidly increasing, thus significantly amplifying the impact of mutations on the assessment, at this point, the current deviation has exceeded the normal tolerance range of the circuit breaker, which may affect its safe operation, leading to false tripping or protection failure. As a core evaluation parameter, the higher its value, the more serious the deviation of the impact current borne by the circuit breaker from the normal range and the greater the circuit safety risk, thereby triggering the intelligent management and control system to take corresponding adjustment measures to ensure the stable operation of the circuit breaker and the power grid system.

[0086] The dynamic response characteristic information of the contacts in the preprocessed transient impulse response information of the circuit breaker is extracted, including the movement speed of the contacts and the current value of the electromagnetic coil at different times in the critical impulse time window when the circuit breaker is subjected to the current impulse at the moment of power grid recovery, and calibrated as and , Indicates the critical impact time window when the circuit breaker is subjected to current impact at the moment of power restoration in the power grid The movement speed of the contact at any moment, Indicates the critical impact time window when the circuit breaker is subjected to current impact at the moment of power restoration in the power grid Current value of electromagnetic coil at the moment;

[0087] In order to obtain the movement speed of the contacts and the current value of the electromagnetic coil at different times in the critical impact time window when the circuit breaker is subjected to the current impact at the moment of power grid restoration, it can be achieved through high-precision sensor acquisition, synchronous data processing and streaming data analysis. First, the position change of the circuit breaker contacts is collected in real time using a position sensor (such as a linear displacement sensor or a photoelectric sensor) to calculate the movement speed of the contacts. The displacement change rate of adjacent time points, that is, the instantaneous movement speed of the contacts, is calculated by the differential method. The current signal monitors the current value of the electromagnetic coil in real time through a Hall effect sensor or a current transformer to obtain the current change data of the electromagnetic triggering of the circuit breaker and calibrate it as the current value of the electromagnetic coil. The data acquisition system adopts high-frequency sampling technology to ensure that both the small displacement change of the contacts and the instantaneous fluctuation of the current can be accurately captured during the high-frequency impact process at the moment of power grid restoration. At the same time, in order to ensure the consistency of various types of data in time sequence, the multi-channel signals are synchronously processed using clock synchronization technology to ensure that the movement speed of the contacts and the current value of the electromagnetic coil can be analyzed under the same time reference. Ultimately, these data are analyzed through a real-time streaming processing platform and quickly imported into subsequent evaluation models to provide dynamic response characteristics of the circuit breaker.

[0088] The movement speed of the contacts at different moments in the critical impact time window when the circuit breaker is subjected to the current impact at the moment of power grid recovery is constructed into a set, and the maximum and minimum values ​​in the set are marked as and ;

[0089] The current values ​​of the electromagnetic coil at different times in the critical impact time window when the circuit breaker is subjected to the current impact at the moment of power grid recovery are constructed into a set, and the maximum value in the set is calibrated as ;

[0090] Calculate the dynamic response coefficient of the circuit breaker contacts. The specific calculation formula is as follows: In the formula, is the dynamic response coefficient of the circuit breaker contacts.

[0091] Circuit breaker contact dynamic response coefficient The calculation formula of is intended to quantify the response stability of the circuit breaker contacts when they are subjected to current surges at the moment of grid restoration. First, The term is used to measure the ratio of the contact movement speed to the electromagnetic coil current, which reflects the response strength of the contact under the impact of the current. Because the electromagnetic coil current directly affects the magnitude of the electromagnetic force, and the movement speed of the contact determines the speed of the circuit breaker response, the square of this ratio can reflect the nonlinear characteristics of the response process, that is, the impact of sudden current changes on the contact response. Secondly, the logarithmic term The calculation is used to measure the ratio of the fluctuation range of the contact movement speed to the change of the electromagnetic coil current, where and Respectively represent the maximum and minimum values ​​of the contact movement speed, is the maximum value of the electromagnetic coil current. By performing logarithmic operations on these values, the influence of extreme values ​​can be compressed, making the evaluation of contact response more stable and more sensitive to abnormal fluctuations. This calculation method combines the weighted square and logarithmic processing of nonlinear changes to ensure that the response of the circuit breaker contacts to the inrush current is accurately quantified at the moment of power grid recovery, thereby providing a reliable basis for subsequent safety assessments.

[0092] Circuit breaker contact dynamic response coefficient The size of directly reflects the impact of the impact current on the contact response of the circuit breaker at the moment of power grid recovery. When the value is small, it means that the movement of the contacts is relatively stable when the power grid is restored, the current change of the electromagnetic coil has little effect on the contacts, and the response of the contacts is relatively stable. At this time, the current impact is within the normal acceptable range and will not cause serious impact on the stability and safety of the circuit breaker. The system will generate normal signals. However, when When the value is large, it means that the contact responds violently, the current change rate is high, or the contact movement speed fluctuates widely, which indicates that the current impact exceeds the normal tolerance range of the circuit breaker, which may cause the contact to react lagging or malfunction, and may even cause safety accidents such as circuit breaker failure or electrical fire. At this time, the system will generate an abnormal signal. Therefore, The value can effectively evaluate whether the current impact exceeds the safe tolerance range of the circuit breaker, thereby providing a basis for subsequent protection measures.

[0093] In this embodiment, the transient deviation index of the generated impulse current and circuit breaker contact dynamic response coefficient Construct a circuit breaker impact withstand assessment model and generate the withstand assessment coefficient through weighted summation , the specific calculation formula is: ,in and They are respectively the impulse current transient deviation index and circuit breaker contact dynamic response coefficient The non-zero weight coefficient of ;

[0094] In order to achieve the transient deviation index based on the impulse current and circuit breaker contact dynamic response coefficient Construct a circuit breaker impact withstand assessment model and calculate the withstand assessment coefficient , which can be achieved through software methods such as multi-feature fusion analysis, weighted calculation model and historical data training. First, at the moment of impact after the circuit breaker is restored, the system obtains and calculates the and , and then use the linear weighted sum model to calculate , that is, according to the formula: ;in, and They are and The weight coefficient of The weight coefficient can be adjusted through optimization training based on historical data, using optimization algorithms in machine learning (such as gradient descent, Bayesian optimization, etc.) to analyze the impact of different historical events. and The impact on the safety of the circuit breaker can be determined to determine the optimal weight distribution. If a certain type of circuit breaker is more sensitive to abnormal fluctuations in impulse current, then Higher values ​​make exist The weight in the calculation is greater; if the abnormal response of the mechanical contact of the circuit breaker is the main cause of the false tripping, then Higher values ​​make exist The system eventually The value is compared with the preset threshold to determine whether the impact current is within the normal acceptable range, and a normal signal or an abnormal signal is generated accordingly to achieve intelligent management and optimization of the circuit breaker.

[0095] Determine the pre-set threshold value of the withstand assessment factor , and after determination, the generated withstand assessment coefficient A comparison is performed to evaluate whether the impact current that the circuit breaker bears at the moment of power grid power restoration is within the normal acceptable range based on the comparison results, and normal signals and abnormal signals are generated respectively based on the evaluation results. The specific comparison and analysis are as follows:

[0096] like , the impact current that the circuit breaker bears at the moment of grid power restoration is within the normal acceptable range, generating a normal signal;

[0097] This means that the impact current that the circuit breaker is subjected to at the moment of grid power restoration is within an acceptable range, that is, the current fluctuation and the dynamic response of the contacts do not exceed the safety tolerance of the circuit breaker. In this case, the transient deviation index of the impact current and the dynamic response coefficient of the circuit breaker contacts are both at normal levels, indicating that the current impact intensity is low or the response stability of the circuit breaker is good, and will not cause false tripping or contact abnormalities. The impact is: the circuit breaker can maintain power supply normally, and the protection action will not be falsely triggered due to current impact. The grid recovery process is smooth and does not affect the continuous operation of industrial production or electrical equipment.

[0098] like ,The inrush current that the circuit breaker bears at the moment of grid power restoration ,is not within the normal acceptable range, ,generating an abnormal signal.

[0099] This situation means that the impact current that the circuit breaker has to bear at the moment of grid recovery has exceeded the normal acceptable range, which may be due to the current instantaneous change being too fast or the contact response being abnormally violent. This situation indicates that the circuit breaker may be subjected to excessive impact, resulting in false tripping, or there is a lag or abnormal jitter in the dynamic response of the contact, which may affect the normal operation of the circuit breaker. The impact is: if false tripping occurs, it may cause power outages, affect the continuity of industrial production, increase unplanned downtime and economic losses; if the circuit breaker fails to operate correctly, it may cause equipment damage or electrical safety hazards due to the continued existence of overcurrent. Therefore, the system needs to take corresponding safety adjustment measures based on abnormal signals to prevent the stability of the grid from being affected.

[0100] In order to determine the pre-set threshold value of the withstand assessment factor , which can be calculated and set through software methods such as historical data analysis, statistical modeling, and intelligent optimization algorithms. First, collect a large amount of data on historical power grid recovery events, including the transient deviation index of impact current and the dynamic response coefficient of circuit breaker contacts, and annotate them in combination with the actual consequences of each impact event (such as whether the circuit breaker tripped incorrectly, whether an overload or short circuit occurred, etc.). Then, use clustering analysis (Clustering Analysis), such as K-means clustering or Gaussian mixture model (GMM), to classify historical data, divide the EEC values ​​corresponding to different impact intensities and contact response conditions into three areas: normal operation, critical state, and abnormal state, and calculate the EEC values ​​of each area. The values ​​are divided into three areas: normal operation, critical state and abnormal state, and the Then, the percentile statistics method is used to select the 95% confidence interval (or other appropriate quantile) in the historical data as the threshold to ensure that the threshold can accurately distinguish between normal and abnormal situations. In addition, adaptive optimization methods such as Bayesian optimization or genetic algorithms can be used to dynamically adjust the threshold according to actual operating data to adapt to changes in different power grid operating environments. Finally, the system calculates The preset threshold is stored and compared with the real-time calculated threshold after each power grid recovery. The value can be compared to accurately evaluate whether the inrush current borne by the circuit breaker is within the normal acceptable range.

[0101] In the case of generating an abnormal signal, the impact information of the impact current on the circuit breaker at the moment of power grid power restoration is obtained, and after acquisition, the impact degree of the impact current on the circuit breaker is evaluated, and it is divided into three categories: slight impact, medium impact and severe impact;

[0102] In this embodiment, when an abnormal signal is generated, the impact information of the impact current on the circuit breaker that the circuit breaker is subjected to at the moment of power grid power restoration is obtained, and after the acquisition, the impact degree of the impact current on the circuit breaker is evaluated, and it is divided into three categories of slight impact, medium impact and severe impact, which specifically includes the following steps:

[0103] In the case of generating an abnormal signal, obtaining the impact information of the impact current on the circuit breaker when the power of the power grid is restored, and performing preprocessing after obtaining;

[0104] In order to obtain the impact information of the impact current on the circuit breaker when the power of the power grid is restored when the abnormal signal is generated, it can be realized through software methods such as multi-channel data acquisition, time series synchronization fusion and streaming data analysis. First, a high-precision current sensor (such as a Hall current sensor or a current transformer) is used to monitor the instantaneous change of the circuit breaker current in real time to obtain the impact current data stream. At the same time, a mechanical sensor (such as a strain gauge sensor or an acceleration sensor) is used to monitor the force of the circuit breaker contacts under the impact of the impact current, and the physical signal is converted into a digital signal through an analog-to-digital converter (ADC) and input into the data processing system. In order to ensure the time synchronization of multiple data channels, a high-precision time synchronization algorithm (such as dynamic time warping DTW) is used to align the current signal and the force signal to ensure that the impact of the impact on the circuit breaker is analyzed under the same time reference. After the data stream is collected, the system caches the data to a streaming data processing framework (such as Apache Flink or Kafka Streams) to achieve efficient real-time analysis and prepare to enter the next preprocessing stage.

[0105] Extracting the impulse current fluctuation characteristic information and the contact force distribution characteristic information from the pre-processed impulse information, and analyzing them after extraction to generate the impulse current fluctuation intensity coefficient and the impulse load distribution index respectively;

[0106] In order to extract the impact current fluctuation characteristic information and contact force distribution characteristic information from the preprocessed impact information, software methods such as signal feature decomposition, time series feature extraction and multi-dimensional feature fusion can be used. First, the preprocessed impact current data and contact force data are analyzed in time series, and the impact signal is decomposed into different frequency components using wavelet transform to extract the local mutation characteristics of the impact current and the nonlinear change characteristics of the contact force. Secondly, the principal component analysis is used to reduce the dimension of the impact current fluctuation information and the contact force data to screen the most representative characteristic parameters, remove redundant information, and improve the calculation efficiency. In terms of impact current, the impact current offset, impact current peak deviation rate and impact current standard deviation are calculated, and the impact current fluctuation characteristic information is constructed; in terms of contact force, the maximum contact force value, the minimum contact force value and the root mean square value of the contact force are extracted to construct the contact force distribution characteristic information. Finally, the feature vector clustering algorithm is used to classify and organize the extracted feature information and store it in the feature data pool for subsequent calculation of the impact current fluctuation intensity coefficient and the impact load distribution index. This method ensures that the dynamic characteristics of impact current and contact force can be accurately extracted, thereby providing high-quality feature data support for subsequent impact assessment.

[0107] An impact degree analysis model is constructed for the generated impact current fluctuation intensity coefficient and impact load distribution index. The impact assessment coefficient is generated by weighted summation. After generation, it is analyzed to evaluate the impact degree of the impact current on the circuit breaker and divide it into three categories: slight impact, medium impact and severe impact.

[0108] In this embodiment, the acquisition logic of the impulse current fluctuation intensity coefficient and the impulse load distribution index is as follows:

[0109] The impulse current fluctuation characteristic information is extracted from the preprocessed impulse information, including the impulse current offset, impulse current peak deviation rate and impulse current standard deviation within the critical impulse time window, and calibrated as , and ,in: is the impact current offset, which represents the mean deviation between the impact current values ​​at all times within the critical impact time window and the average impact current value within the window; is the impulse current peak deviation rate, which means the ratio of the maximum impulse current value of the impulse current at all times within the critical impulse time window to the root mean square current value within the window; is the standard deviation of the impulse current, which represents the standard deviation of the current values ​​of the impulse current at all times within the critical impulse time window;

[0110] In order to obtain the current value of the impact current at all times within the critical impact time window, and calculate the mean deviation relative to the average impact current value, the ratio of the maximum impact current value to the root mean square current value, and the standard deviation of the impact current, it can be achieved through software methods such as high-frequency data acquisition, streaming computing, and statistical feature extraction. First, a high-precision current sensor (such as a Hall current sensor or a current transformer) is used in combination with a high-speed analog-to-digital converter (ADC) to sample the impact current of the circuit breaker in real time at a millisecond level or higher to form continuous time series current data. Then, the sliding window method is used to dynamically select data points within the critical impact time window, and the impact current values ​​at each moment are extracted in real time through a streaming computing framework (such as Apache Flink or Spark Streaming). Subsequently, the average impact current value within the time window is calculated using numerical integration and mean calculation methods, and the deviation mean of the impact current values ​​at all times relative to the mean (i.e., the impact current offset) is further calculated. At the same time, the signal peak detection algorithm is used to screen out the maximum impact current value in the window, and the root mean square current value of the window is calculated in combination with the root mean square to obtain the ratio of the maximum impact current value to the root mean square current value (i.e., the impact current peak deviation rate). Finally, the standard deviation calculation formula is used to perform a volatility analysis on the impact current values ​​at all times in the window, and its standard deviation is calculated to evaluate the instability of the impact current. Through these data collection and calculation methods, it is ensured that the dynamic characteristics of the impact current can be accurately extracted, and high-quality data support is provided for subsequent impact evaluation.

[0111] Inrush current offset It reflects the overall deviation of the impulse current in the critical impulse time window relative to the average impulse current value in the window. It is used to measure whether the impulse current deviates from the normal working range for a long time and avoid misjudgment due to drastic fluctuations in a short period of time. If the offset is small, it means that the impulse current mainly changes around the mean value and the impact of the impact is relatively light; if the offset is large, it means that the impulse current has obvious overall drift in the window, which may lead to misjudgment of the circuit breaker protection strategy. Inrush current peak deviation rate It is the ratio of the maximum impact current value to the root mean square current value. It reflects the extreme deviation of the impact current. If the value is large, it means that there is a significant peak impact in the impact current, which may cause the circuit breaker to trip incorrectly or damage the contacts. Finally, the impact current standard deviation It reflects the volatility of the impact current. The larger the standard deviation, the more violent the impact current fluctuations in the window, and the circuit breaker may have difficulty adapting to this rapidly changing current environment. In summary, the combination of these data indicators can fully describe the characteristics of the impact current, including its long-term deviation trend, short-term extreme peak value, and overall fluctuation degree, thus providing a more accurate basis for evaluating the impact of the impact current.

[0112] Calculate the impulse current fluctuation intensity coefficient. The specific calculation formula is as follows: In the formula, is the impulse current fluctuation intensity coefficient;

[0113] Inrush current fluctuation intensity coefficient The calculation formula measures the overall fluctuation characteristics of the impulse current through the normalized ratio, and combines the logarithmic operation to highlight the influence of extreme values, so as to ensure that the evaluation results can accurately reflect the abnormal degree of the impulse current and avoid excessive sensitivity of the calculated values. (Shock current deviation mean) is used to measure the overall deviation of the shock current at all times within the critical shock time window relative to the mean. The larger the value, the greater the fluctuation amplitude of the shock current. (Standard deviation of impulse current + 1) is used for normalization calculation to ensure that the calculation result will not become unstable due to too small standard deviation, and to balance the influence of offset to make the calculation more stable; (Logarithmic transformation of the impulse current peak deviation rate) is used to amplify the impact of extreme impulse currents, ensuring that smaller fluctuations do not excessively affect the calculation results, while larger impulse current deviations can significantly increase the evaluation coefficient, thereby accurately reflecting the severity of impulse current fluctuations. Therefore, this calculation method can provide stable evaluation results in different scales of impulse current environments, accurately measure the intensity of impulse currents, and effectively distinguish between minor and severe impulses.

[0114] Inrush current fluctuation intensity coefficient The size of directly determines the impact degree of the inrush current on the circuit breaker and is used to evaluate whether the inrush current will affect the stability and safety of the circuit breaker. When the value is small, it means that the overall fluctuation of the impact current is relatively stable, the degree of deviation from the mean is small, and the peak impact is relatively mild, which indicates that the impact current borne by the circuit breaker when the power grid is restored is low and will not have a significant impact on its mechanical structure or electrical characteristics. Therefore, it can be evaluated as a slight impact. When the value is large, it indicates that the impact current fluctuates violently, deviates seriously from the mean, and the peak impact is far beyond the normal range. Such impact may cause malfunction of the circuit breaker, damage to the contacts, or failure of the electrical protection mechanism, affecting circuit safety. Such situations should be evaluated as severe impacts and emergency safety adjustment measures need to be taken. Therefore, The larger the value, the more severe the fluctuation intensity and extreme deviation of the impact current are, the higher the impact degree of the circuit breaker is, and more stringent protection strategies must be adopted to ensure the normal operation of the circuit breaker and the stability of the power grid.

[0115] The contact force distribution characteristic information in the preprocessed impact information is extracted, specifically including the maximum force value and the minimum force value of the circuit breaker contact under the impact of the impact current within the critical impact time window and the root mean square value of the force value of the circuit breaker contact under the impact of the impact current at all times within the window, and calibrated as , and , It indicates the maximum force value of the circuit breaker contacts under the impact of the impact current within the critical impact time window. It indicates the minimum force value of the circuit breaker contacts under the impact of the impact current within the critical impact time window. It represents the RMS value of the force value of the circuit breaker contacts at all times under the impact of the impact current within the critical impact time window;

[0116] In order to obtain the maximum force value, minimum force value and root mean square value of the force value at all times of the circuit breaker contact under the impact current in the critical impact time window, it can be achieved through software methods such as high-precision sensor acquisition, data stream processing and feature extraction algorithm. First, strain gauge sensors or piezoelectric sensors are deployed on the contact structure of the circuit breaker. These sensors can sense the force of the contact under the impact current in real time and convert the mechanical signal into an analog electrical signal. Subsequently, the signal is collected by a high-speed analog-to-digital converter, and the data is stored and analyzed in real time through a streaming data processing framework (such as Apache Flink or Spark Streaming). To ensure data accuracy, a timing synchronization algorithm is used to synchronize multi-channel signals to ensure that the impact current signal and the force signal are calculated under the same time reference. After data acquisition, the peak detection algorithm is first used to identify the maximum and minimum force values ​​in the time window and calculate the extreme range of force; then, the root mean square calculation formula (Root Mean Square, RMS) is used to calculate the root mean square of the force value at all times in the window to measure the overall change level of contact force during the impact process. These data can be further input into the calculation model of the impact load distribution index to accurately evaluate the impact of the impact current on the circuit breaker contacts.

[0117] Maximum force value It represents the strongest instantaneous impact force that the contact bears during the impact process. The higher the value, the greater the impact intensity, which may cause deformation of the contact or structural damage; the minimum force value It reflects the minimum stress state that the contact bears during the impact process. If the value is close to zero or even negative, it means that the contact may have a short-term poor contact or reverse stress during the impact process; RMS stress value It is used to measure the average level of contact force within the entire impact window, ensuring that the overall strength of the impact can be comprehensively evaluated even in the presence of a short-term peak impact. Through a comprehensive analysis of the maximum force, minimum force, and root mean square force, the force characteristics of the contacts under the impact current can be more comprehensively characterized, and then accurately assess whether the impact will cause potential damage to the mechanical structure of the circuit breaker.

[0118] Calculate the impact load distribution index. The specific calculation formula is as follows: In the formula, is the impact load distribution index.

[0119] Shock load distribution index The calculation formula is designed to quantify the non-uniformity and extreme stress characteristics of the circuit breaker contact force under the impact current, ensuring that the impact of the impact on the contact structure can be accurately evaluated. The normalized ratio of the fluctuation range of the contact force is calculated. The larger the value, the more drastic the change in the contact force under the impact and the more uneven the force distribution. The maximum force value and the minimum force value jointly determine the peak range of the contact force, while the root mean square value is used to measure the average level of the overall force to ensure that the calculation results can be applied to impact events of different scales. is used to amplify the effects of extreme forces, where Calculate the ratio of the maximum force to the root mean square force. If the value is large, it means that the impact load is highly concentrated at certain moments, which may cause contact damage or structural fatigue. The exponential operation ensures that this extreme situation The calculation results have a more significant impact. Overall, the formula normalizes the force fluctuation, highlights the influence of extreme force, and combines exponential operations to ensure that the calculated value has sufficient sensitivity to abnormal impact, thereby accurately evaluating the safety and stability of the contact under impact.

[0120] Shock load distribution index The size of directly reflects the non-uniformity and extreme stress of the circuit breaker contacts under the impact of the impulse current, and is therefore used to assess the impact of the impulse current on the circuit breaker. When the value is small, it means that the contact force is evenly distributed under the impact, the difference between the maximum force and the minimum force is small, and the extreme force is not obvious, indicating that the impact has little effect on the mechanical structure of the circuit breaker, which is a slight impact, and the circuit breaker can operate normally without additional adjustment. When the value is large, it means that the fluctuation range of contact force is extremely large, the extreme force is significant, and the maximum force is far beyond the normal level, which may cause contact structure deformation, poor contact or even failure. Such situations are evaluated as severe impacts and safety adjustment measures need to be taken immediately to prevent the circuit breaker from being damaged or protection failure due to excessive impact. Therefore, The larger it is, the greater the volatility and extreme force on the contacts, the more serious the impact on the circuit breaker, and more stringent protection strategies need to be adopted to ensure the safe and stable operation of the circuit breaker.

[0121] In this embodiment, the generated impulse current fluctuation intensity coefficient and impact load distribution index Construct an impact degree analysis model and generate an impact assessment coefficient through weighted summation , the specific calculation formula is: ,in and They are respectively the impulse current fluctuation intensity coefficient and impact load distribution index The non-zero weight coefficient of ;

[0122] To calculate the impact assessment factor To evaluate the impact of the impulse current on the circuit breaker, we first need to obtain the impulse current fluctuation intensity coefficient and impact load distribution index , and then use the weighted summation method to calculate. The specific implementation method is as follows: when the circuit breaker experiences grid power recovery, the system will calculate the (a measure of the amplitude of surge current fluctuations) and (measures the unevenness of the contact force), and these two parameters are input into the impact degree analysis model. Subsequently, the impact assessment coefficient is calculated using a linear weighted summation , that is, according to the formula: ;in, and It is used for balance and A non-zero coefficient that affects the weight and satisfies , ensuring the normalization of the calculation. The weight coefficient is set based on the optimization adjustment of historical shock event data, and can be analyzed under different shock conditions through machine learning algorithms (such as gradient descent optimization or Bayesian optimization). and If a certain type of circuit breaker is more susceptible to current fluctuations, then The weight of exist If the contact force change is the main factor in circuit breaker damage, then Set higher to make The impact is even greater in calculations.

[0123] Determine the pre-set impact assessment coefficient threshold range , and after determination, the impact assessment coefficient generated The impact of the impact current on the circuit breaker is evaluated based on the comparison results, and divided into three categories: slight impact, medium impact and severe impact. The specific comparison analysis is as follows:

[0124] like , the impact degree of the impact current on the circuit breaker is a slight impact;

[0125] This situation means that the impact of the impact current on the circuit breaker is small, and the fluctuation amplitude of the impact current and the contact force distribution are both within an acceptable range. At this time, the short-term fluctuation of the impact current will not cause violent vibration or abnormal deformation of the contacts, and the mechanical structure and electrical performance of the circuit breaker are not significantly affected, and the system can maintain stable operation. The impact is: the circuit breaker can remain connected normally after the power grid is restored, and there will be no false tripping or abnormal disconnection. At the same time, there will be no additional electrical loss or mechanical fatigue caused by the impact, which helps to improve the service life of the circuit breaker and the stability of the power supply system.

[0126] like , the impact degree of the impact current on the circuit breaker is medium impact;

[0127] This situation means that the impact of the impact current on the circuit breaker has reached a certain level, and the impact current fluctuation or contact force change begins to approach the safety critical value of the circuit breaker, but is still within the controllable range. At this time, the impact may cause slight jitter or short-term instability of the contacts, increase mechanical wear and electrical stress, and if it occurs frequently, it may accelerate the aging of the circuit breaker. The impact is: although the circuit breaker does not immediately trip or be damaged, long-term operation at this impact level may reduce its stability and increase maintenance requirements. The system needs to take appropriate adjustment measures, such as optimizing the contact buffer mechanism or adjusting the circuit breaker's trigger protection parameters to reduce the long-term hidden dangers caused by the impact.

[0128] like The impact of the impact current on the circuit breaker is a severe impact.

[0129] This situation means that the impact of the impact current on the circuit breaker has exceeded the acceptable range, the impact current fluctuation is too violent or the contact force distribution is seriously uneven, which may cause deformation of the mechanical structure, contact welding or degradation of electrical insulation performance. At this time, the circuit breaker may trip due to abnormal vibration of the contacts, or even fail to open or close normally in extreme cases, affecting the safety of the power supply system. The impact is: if a false trip occurs, it may cause sudden shutdown of industrial equipment, affect production continuity, and even cause equipment damage or data loss; if the impact overload causes the circuit breaker to operate slowly or fail, it may expose the power grid to more serious short circuit or overcurrent risks, increasing the possibility of fire or equipment burning. Therefore, in this case, the system must immediately take safety adjustment measures, such as adjusting the protection threshold, optimizing the circuit breaker contact structure, or adopting a buffering strategy to prevent the circuit breaker from being irreversibly damaged.

[0130] In order to determine the preset threshold interval of the impact assessment coefficient, historical data statistical analysis, clustering grouping and adaptive optimization algorithm can be used to achieve this. First, the system collects a large amount of actual operation data of the circuit breaker during the power grid restoration process, including the impact assessment coefficient calculated under each impact event and the corresponding operating status (normal, critical, abnormal) mark; then, a clustering algorithm (such as K-means or Gaussian mixture model) is used to classify these The data is grouped and the distribution intervals corresponding to normal, critical and abnormal states are automatically identified; then, the upper and lower bounds of each group of data are determined by percentile statistical methods (such as 95% confidence intervals), and the thresholds are further adjusted using adaptive optimization algorithms (such as Bayesian optimization) to adapt them to the actual conditions of different power supply environments and circuit breaker models; finally, the determined interval is used as the preset impact assessment coefficient threshold interval, and is compared with the calculated The impact of the inrush current on the circuit breaker can be accurately assessed by comparing the values. This process can be achieved through software, and the threshold can be dynamically updated based on historical data to ensure the accuracy and reliability of the assessment results.

[0131] According to the evaluation results, corresponding safety adjustment measures are taken for circuit breakers under different impact levels;

[0132] In this embodiment, according to the evaluation results, corresponding safety adjustment measures are taken for circuit breakers under different impact levels, specifically:

[0133] For situations where the assessment result is severe impact, the specific safety adjustment measures taken are: immediately triggering the high-priority circuit breaker protection mechanism, adjusting the overcurrent protection parameters of the circuit breaker, increasing the short-time current tolerance upper limit, and simultaneously starting the emergency reset procedure; shortening the action time under short-circuit and overload conditions to ensure that abnormal current can be quickly cut off after extreme impact; sending high-priority alarm information to the power management system and storing the impact event data to optimize subsequent intelligent management and control strategies;

[0134] For situations where the evaluation result is a severe impact, this can be achieved through software methods such as adaptive adjustment of intelligent protection parameters, real-time protection triggering mechanism, and event storage and analysis. First, the system uses real-time monitoring data to detect that the impact assessment coefficient of the circuit breaker exceeds the threshold, and automatically adjusts the short-term overcurrent protection parameters to enable the circuit breaker to withstand short-term high current impacts, while ensuring that it can quickly cut off the current in the case of a real short circuit or overload to avoid protection failure. Then, through the protection logic based on threshold triggering, the disconnection time is automatically shortened and the contact action speed is increased in extreme impact situations to reduce the risk of false tripping or equipment damage caused by excessive current impact. In addition, the system automatically sends high-priority alarm information to the power management platform to ensure that maintenance personnel can respond in time, and stores the impact data, and optimizes subsequent intelligent protection strategies through historical data retrospective analysis. This method can ensure that the circuit breaker responds quickly in extreme impact situations, improve safety, and provide data support for subsequent optimization.

[0135] For situations where the assessment result is a medium impact, the specific safety adjustment measures taken are: triggering the medium priority circuit breaker adjustment mechanism, dynamically adjusting the short-time current tolerance threshold to adapt to the impact current fluctuation; optimizing the circuit breaker breaking time setting to maintain normal protection capabilities under non-extreme conditions; sending medium priority warning information to the operation and maintenance management system, and recording the impact data for subsequent intelligent management and control strategy optimization;

[0136] For situations where the evaluation result is a medium impact, this can be achieved through software methods such as dynamically adjusting the current tolerance threshold, optimizing the protection response strategy, and adaptively adjusting the disconnection time. When it is detected that the IEC is in the medium impact range, the system calculates the current fluctuation characteristic information and the contact force distribution characteristic information in real time, and adaptively adjusts the short-time current tolerance threshold according to the current impact characteristics, so that the circuit breaker can minimize the false tripping caused by short-time impact while ensuring safety. In addition, the system will analyze whether the current impact situation is close to the severe impact threshold. If there is a trend of approaching, the protection strategy of the circuit breaker will be adjusted to adapt to the fluctuation in subsequent impacts, avoiding premature aging or malfunction of the equipment due to the gradually accumulated impact effect. At the same time, the system sends medium priority warning information to the operation and maintenance management system, and stores relevant data to provide reference for subsequent optimization of intelligent management and control strategies. This method can reduce false tripping caused by impact current fluctuations, improve the stability of the circuit breaker, and optimize its adaptability in different impact environments.

[0137] For situations where the assessment result is a minor impact, the specific safety adjustment measures taken are as follows: keep the existing protection parameters of the circuit breaker unchanged to ensure power supply continuity; continuously monitor the operating status of the circuit breaker and store the impact data for subsequent trend analysis; and periodically adjust the protection strategy based on changes in historical impact data to improve the circuit breaker's ability to adapt to different impact environments.

[0138] For situations where the assessment result is a slight impact, this can be achieved through software methods such as monitoring status retention, historical data storage and trend analysis, and periodic parameter optimization. When the IEC is in the slight impact range, the system will not adjust the protection parameters of the circuit breaker, but will maintain the current settings to maintain power supply stability. At the same time, the system continuously monitors the operating status of the circuit breaker to ensure that the trend of changes in the impact assessment coefficient will not continue to rise, so as to avoid more serious impacts in the future due to the cumulative effect of the impact. In addition, the system will store the data of the impact event and conduct trend analysis in combination with historical impact data. If it is found that the long-term impact pattern has changed, the protection strategy of the circuit breaker will be automatically adjusted in the subsequent maintenance cycle to optimize its adaptability. This method can ensure that the circuit breaker has the ability to adapt to different impact environments in the long term while operating stably, and continuously optimize its protection strategy through data analysis to reduce the risk of more serious impacts in the future.

[0139] After executing safety adjustment measures, the intelligent management and control strategy of the circuit breaker is optimized based on historical data, the false tripping records and short-term impulse response data are analyzed, and the protection threshold of the circuit breaker is dynamically adjusted according to the power grid recovery situation to improve the circuit breaker's adaptability to different power environments and the level of intelligent adjustment.

[0140] In order to optimize the intelligent management and control strategy of the circuit breaker, the present invention realizes the intelligent adaptation of the circuit breaker to different power grid environments through software methods such as historical data storage, false tripping analysis, short-term impact feature mining and dynamic protection threshold adjustment. The system stores false tripping records, short-term impact response data and power grid recovery characteristics, and uses pattern recognition algorithms (such as K-means clustering, HMM) to analyze the causes of false tripping, and combines signal feature extraction (wavelet transform, Fourier transform) to deeply analyze the impact current fluctuation characteristics and contact force mode, and construct an impact impact model. Based on statistical learning and adaptive optimization algorithms (such as Bayesian optimization and reinforcement learning) of historical data, the short-term overcurrent tolerance threshold and tripping judgment logic of the circuit breaker are dynamically adjusted to improve its adaptability to different impact environments, ensure power supply stability, reduce false tripping, and improve system safety and reliability.

[0141] like Figure 2 The circuit breaker intelligent management and control system for circuit safety regulation shown includes a power grid transient stability monitoring module, a key impact window identification module, an impact response evaluation module, an impact degree classification module, an intelligent safety regulation module, and an intelligent adaptive optimization module;

[0142] The grid transient stability monitoring module monitors and obtains grid transient stability information in real time in industrial power supply, and analyzes whether the grid has transient fluctuations;

[0143] The critical impact window identification module identifies and determines the time period when the circuit breaker is subjected to current impact at the moment of power restoration when the power grid experiences instantaneous fluctuations, and marks it as the critical impact time window;

[0144] The impulse response evaluation module obtains the instantaneous impulse response information of the circuit breaker in real time within the critical impulse time window, and analyzes it after acquisition to evaluate whether the impulse current borne by the circuit breaker at the moment of power restoration of the power grid is within the normal acceptable range, and generates normal signals and abnormal signals respectively according to the evaluation results;

[0145] The impact degree classification module, when generating an abnormal signal, obtains the impact information of the impact current on the circuit breaker at the moment of power restoration of the power grid, analyzes it after obtaining it, evaluates the impact degree of the impact current on the circuit breaker, and divides it into three categories: slight impact, medium impact and severe impact;

[0146] Intelligent safety adjustment module, based on the evaluation results, takes corresponding safety adjustment measures for circuit breakers under different impact levels;

[0147] The intelligent adaptive optimization module optimizes the intelligent management and control strategy of the circuit breaker based on historical data after executing safety adjustment measures, analyzes the false tripping records and short-term impulse response data, and dynamically adjusts the protection threshold of the circuit breaker according to the power grid recovery situation.

[0148] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0149] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired or wireless (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0150] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0151] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0152] In the several embodiments provided in the present application, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0153] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0154] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0155] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An intelligent control method for circuit breakers for circuit safety regulation, characterized in that: The specific steps include: In industrial power supply, real-time monitoring and acquisition of grid transient stability information can be used to analyze whether the grid has experienced transient fluctuations; When the power grid experiences instantaneous fluctuations, identify and determine the time period during which the circuit breaker is subjected to current surges at the moment when the power grid is restored, and mark it as the critical surge time window; Acquire the instantaneous impulse response information of the circuit breaker in real time within the critical impulse time window, analyze it after acquisition, evaluate whether the impulse current borne by the circuit breaker at the moment of power restoration of the power grid is within the normal acceptable range, and generate normal signals and abnormal signals respectively according to the evaluation results; The specific steps include: Acquire the circuit breaker instantaneous impact response information in real time within the critical impact time window and perform preprocessing after acquisition; Extracting instantaneous impulse current characteristic information and contact dynamic response characteristic information from the preprocessed instantaneous impulse response information of the circuit breaker, and analyzing them after extraction to generate an impulse current transient deviation index and a circuit breaker contact dynamic response coefficient respectively; The circuit breaker impact withstand assessment model is constructed based on the generated impact current transient deviation index and circuit breaker contact dynamic response coefficient. The withstand assessment coefficient is generated by weighted summation, and analyzed after generation to assess whether the impact current that the circuit breaker withstands at the moment of power grid power restoration is within a normal acceptable range, and normal signals and abnormal signals are generated respectively according to the assessment results; In the case of generating an abnormal signal, the impact information of the impact current on the circuit breaker at the moment of power grid power restoration is obtained, and after acquisition, the impact degree of the impact current on the circuit breaker is evaluated, and it is divided into three categories: slight impact, medium impact and severe impact; According to the evaluation results, corresponding safety adjustment measures are taken for circuit breakers under different impact levels; After executing safety adjustment measures, the intelligent management and control strategy of the circuit breaker is optimized based on historical data, the false tripping records and short-term impulse response data are analyzed, and the protection threshold of the circuit breaker is dynamically adjusted according to the power grid recovery situation.

2. The intelligent control method for circuit breaker for circuit safety regulation according to claim 1, characterized in that: The acquisition logic of the impulse current transient deviation index and the circuit breaker contact dynamic response coefficient is as follows: The transient impulse current characteristic information is extracted from the preprocessed transient impulse response information of the circuit breaker, including the current value borne by the circuit breaker at different times in the critical impulse time window when the power grid is restored, the current change rate, and the reference current value of the circuit breaker under normal operation, and calibrated as , and , Indicates the critical impact time window when the circuit breaker is subjected to current impact at the moment of power restoration in the power grid The current value at any moment, Indicates the critical impact time window when the circuit breaker is subjected to current impact at the moment of power restoration in the power grid The rate of change of the current at any moment, Indicates the reference current value of the circuit breaker under normal operation. , is a positive integer; The rate of change of the current borne by the circuit breaker at different moments in the critical impact time window when the power grid is restored is constructed into a set, and the maximum value in the set is calibrated as ; Calculate the transient deviation index of the impulse current. The specific calculation formula is as follows: In the formula, is the transient deviation index of the impulse current; The dynamic response characteristic information of the contacts in the preprocessed transient impulse response information of the circuit breaker is extracted, including the movement speed of the contacts and the current value of the electromagnetic coil at different times in the critical impulse time window when the circuit breaker is subjected to the current impulse at the moment of power grid recovery, and calibrated as and , Indicates the critical impact time window when the circuit breaker is subjected to current impact at the moment of power restoration in the power grid The movement speed of the contact at any moment, Indicates the critical impact time window when the circuit breaker is subjected to current impact at the moment of power restoration in the power grid Current value of electromagnetic coil at the moment; The movement speed of the contacts at different moments in the critical impact time window when the circuit breaker is subjected to the current impact at the moment of power grid recovery is constructed into a set, and the maximum and minimum values ​​in the set are marked as and ; The current values ​​of the electromagnetic coil at different times in the critical impact time window when the circuit breaker is subjected to the current impact at the moment of power grid recovery are constructed into a set, and the maximum value in the set is calibrated as ; Calculate the dynamic response coefficient of the circuit breaker contacts. The specific calculation formula is as follows: In the formula, is the dynamic response coefficient of the circuit breaker contacts.

3. The intelligent control method for circuit breaker for circuit safety regulation according to claim 2, characterized in that: The transient deviation index of the generated impulse current and circuit breaker contact dynamic response coefficient Construct a circuit breaker impact withstand assessment model and generate the withstand assessment coefficient through weighted summation , the specific calculation formula is: ,in and They are respectively the impulse current transient deviation index and circuit breaker contact dynamic response coefficient The non-zero weight coefficient of ; Determine the pre-set threshold value of the withstand assessment factor , and after determination, the generated withstand assessment coefficient A comparison is performed to evaluate whether the impact current that the circuit breaker bears at the moment of power grid power restoration is within the normal acceptable range based on the comparison results, and normal signals and abnormal signals are generated respectively based on the evaluation results. The specific comparison and analysis are as follows: like , the impact current that the circuit breaker bears at the moment of grid power restoration is within the normal acceptable range, generating a normal signal; like ,The inrush current that the circuit breaker bears at the moment of grid power restoration ,is not within the normal acceptable range, ,generating an abnormal signal.

4. The intelligent control method for circuit breaker for circuit safety regulation according to claim 3, characterized in that: In the case of generating an abnormal signal, the impact information of the impact current on the circuit breaker that the circuit breaker is subjected to at the moment of power grid power restoration is obtained, and after obtaining, the impact degree of the impact current on the circuit breaker is evaluated, and it is divided into three categories: slight impact, medium impact and severe impact, which specifically includes the following steps: In the case of generating an abnormal signal, obtaining the impact information of the impact current on the circuit breaker when the power of the power grid is restored, and performing preprocessing after obtaining; Extracting the impulse current fluctuation characteristic information and the contact force distribution characteristic information from the pre-processed impulse information, and analyzing them after extraction to generate the impulse current fluctuation intensity coefficient and the impulse load distribution index respectively; An impact degree analysis model is constructed for the generated impact current fluctuation intensity coefficient and impact load distribution index. The impact assessment coefficient is generated by weighted summation. After generation, it is analyzed to evaluate the impact degree of the impact current on the circuit breaker and divide it into three categories: slight impact, medium impact and severe impact.

5. The intelligent control method for circuit breaker for circuit safety regulation according to claim 4, characterized in that: The acquisition logic of the impulse current fluctuation intensity coefficient and the impulse load distribution index is as follows: The impulse current fluctuation characteristic information is extracted from the preprocessed impulse information, including the impulse current offset, impulse current peak deviation rate and impulse current standard deviation within the critical impulse time window, and calibrated as , and ,in: is the impact current offset, which represents the mean deviation between the impact current values ​​at all times within the critical impact time window and the average impact current value within the window; is the impulse current peak deviation rate, which means the ratio of the maximum impulse current value of the impulse current at all times within the critical impulse time window to the root mean square current value within the window; is the standard deviation of the impulse current, which represents the standard deviation of the current values ​​of the impulse current at all times within the critical impulse time window; Calculate the impulse current fluctuation intensity coefficient. The specific calculation formula is as follows: In the formula, is the impulse current fluctuation intensity coefficient; The contact force distribution characteristic information in the preprocessed impact information is extracted, specifically including the maximum force value and the minimum force value of the circuit breaker contact under the impact of the impact current within the critical impact time window and the root mean square value of the force value of the circuit breaker contact under the impact of the impact current at all times within the window, and calibrated as , and , It indicates the maximum force value of the circuit breaker contacts under the impact of the impact current within the critical impact time window. It indicates the minimum force value of the circuit breaker contacts under the impact of the impact current within the critical impact time window. It represents the RMS value of the force value of the circuit breaker contacts at all times under the impact of the impact current within the critical impact time window; Calculate the impact load distribution index. The specific calculation formula is as follows: In the formula, is the impact load distribution index.

6. The intelligent control method for circuit breaker for circuit safety regulation according to claim 5, characterized in that: The intensity factor of the generated impulse current fluctuation and impact load distribution index Construct an impact degree analysis model and generate an impact assessment coefficient through weighted summation , the specific calculation formula is: ,in and They are respectively the impulse current fluctuation intensity coefficient and impact load distribution index The non-zero weight coefficient of ; Determine the pre-set impact assessment coefficient threshold range , and after determination, the impact assessment coefficient generated Compare and evaluate the impact degree of the impact current on the circuit breaker according to the comparison results, and divide it into three categories: slight impact, medium impact and severe impact. The specific comparison analysis is as follows: like , the impact degree of the impact current on the circuit breaker is a slight impact; like , the impact degree of the impact current on the circuit breaker is medium impact; like The impact of the impact current on the circuit breaker is a severe impact.

7. The intelligent control method for circuit breaker for circuit safety regulation according to claim 6, characterized in that: According to the evaluation results, corresponding safety adjustment measures are taken for circuit breakers under different impact levels, specifically: For situations where the assessment result is severe impact, the specific safety adjustment measures taken are: immediately triggering the high-priority circuit breaker protection mechanism, adjusting the overcurrent protection parameters of the circuit breaker, increasing the short-time current tolerance upper limit, and synchronously starting the emergency reset procedure; shortening the action time under short-circuit and overload conditions; sending high-priority alarm information to the power management system, and storing the impact event data; For situations where the assessment result is a medium impact, the specific safety adjustment measures taken are: triggering the medium priority circuit breaker adjustment mechanism to dynamically adjust the short-time current tolerance threshold; optimizing the circuit breaker breaking time setting to maintain normal protection capabilities under non-extreme conditions; sending medium priority warning information to the operation and maintenance management system and recording the impact data; For situations where the assessment result is a minor impact, the specific safety adjustment measures taken are: keep the existing protection parameters of the circuit breaker unchanged; continuously monitor the operating status of the circuit breaker and store the impact data; and periodically adjust the protection strategy based on changes in historical impact data.

8. An intelligent management and control system for circuit breaker for circuit safety regulation, used to implement the intelligent management and control method for circuit breaker for circuit safety regulation as described in any one of claims 1 to 7, characterized in that: It includes a power grid transient stability monitoring module, a key impact window identification module, an impact response evaluation module, an impact degree classification module, an intelligent safety regulation module, and an intelligent adaptive optimization module; The grid transient stability monitoring module monitors and obtains grid transient stability information in real time in industrial power supply, and analyzes whether the grid has transient fluctuations; The critical impact window identification module identifies and determines the time period when the circuit breaker is subjected to current impact at the moment of power restoration when the power grid experiences instantaneous fluctuations, and marks it as the critical impact time window; The impulse response evaluation module obtains the instantaneous impulse response information of the circuit breaker in real time within the critical impulse time window, and analyzes it after acquisition to evaluate whether the impulse current borne by the circuit breaker at the moment of power restoration of the power grid is within the normal acceptable range, and generates normal signals and abnormal signals respectively according to the evaluation results; The impact degree classification module, when generating an abnormal signal, obtains the impact information of the impact current on the circuit breaker at the moment of power restoration of the power grid, analyzes it after obtaining it, evaluates the impact degree of the impact current on the circuit breaker, and divides it into three categories: slight impact, medium impact and severe impact; Intelligent safety adjustment module, based on the evaluation results, takes corresponding safety adjustment measures for circuit breakers under different impact levels; The intelligent adaptive optimization module optimizes the intelligent management and control strategy of the circuit breaker based on historical data after executing safety adjustment measures, analyzes the false tripping records and short-term impulse response data, and dynamically adjusts the protection threshold of the circuit breaker according to the power grid recovery situation.

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