A control system and method for a circuit breaker intelligent controller

Abstract

The application relates to the technical field of circuit breaker control, in particular to a control system and method of an intelligent circuit breaker controller, which comprises a data acquisition module, an abnormality judgment module, an abnormality determination module, a type determination module, an adjustment module and an execution module. Through real-time acquisition of current, contact displacement and contact temperature, multi-dimensional perception of the running state of the circuit breaker is realized; in the implicit abnormality judgment, abnormality candidate generation and type identification process, the synchronous change trend of displacement and temperature is compared with historical abnormality characteristics, and the trigger amplitude threshold and the delay tripping window are adjusted based on the abnormality type and the confidence; further, the peak amplitude threshold is adjusted or the tripping action is executed through time distribution adjustment of the implicit abnormality judgment result within a preset correction duration, effectively solving the problem of insufficient early warning capability caused by the lack of a refined state recognition and prediction mechanism.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of circuit breaker control, in particular to a control system and method of a circuit breaker intelligent controller. BACKGROUND

[0002] With the development of power distribution systems towards high density and intelligence, low-voltage circuit breakers are no longer just responsible for basic overload and short-circuit protection functions, but also need to identify potential risks in the early stages of operation and achieve preventive protection. However, most existing general-purpose intelligent controllers are limited to electrical quantity measurement and over-limit alarm, lacking the ability to identify and determine trends of complex abnormal patterns, resulting in insufficient potential early warning and difficulty in providing reliable basis for subsequent safety disposal in time, which is a challenge that needs to be solved in the intelligent application of circuit breakers.

[0003] Chinese patent application publication No. CN118783375A discloses an intelligent controller suitable for general low-voltage circuit breakers and a working method thereof. The controller includes a signal acquisition module, a power module, a metering module, a main control module, and a display / key module. The signal acquisition module is connected to the low-voltage circuit breaker, the power module, the main control module, and the metering module. The power module is also connected to the metering module, the main control module, and the display / key module. The metering module and the display / key module are connected to the main control module.

[0004] Therefore, the intelligent controller suitable for general low-voltage circuit breakers has the following problems: the controller is mainly used for electrical parameter measurement and alarm, lacks the ability to subdivide and classify abnormal patterns, and cannot achieve more detailed state recognition and early warning; the controller structure is biased towards general function implementation, and lacks adaptation ability for complex operation scenarios, with a single protection strategy. SUMMARY

[0005] To this end, the present application provides a control system and method of a circuit breaker intelligent controller to overcome the problem of insufficient early warning capability due to the lack of detailed state recognition and prediction mechanism in the prior art through abnormal feature modeling and trend analysis.

[0006] To achieve the above-mentioned purpose, in one aspect, the present application provides a control system of a circuit breaker intelligent controller, comprising:

[0007] a data acquisition module for real-time acquisition of current, contact displacement, and contact temperature during operation of the circuit breaker with a preset trigger amplitude threshold and a preset delay tripping window;

[0008] an abnormality determination module connected to the acquisition module for determining whether an implicit abnormality occurs according to the current and a preset spike amplitude threshold to obtain an implicit abnormality determination result;

[0009] an abnormality determination module, connected with the collecting module and the determining module respectively, configured to determine an abnormality candidate list and a plurality of confidence scores according to the synchronous change trend of the contact displacement and the contact temperature and a preset historical abnormality characteristic template based on the implicit abnormality determination result;

[0010] a type determination module, connected with the abnormality determination module, configured to determine a total confidence and a comparative confidence according to the abnormality candidate list and the confidence scores, and determine an abnormality type according to the total confidence, the comparative confidence and the preset historical abnormality characteristic template;

[0011] an adjustment module, connected with the abnormality determination module and the type determination module respectively, configured to adjust the preset trigger amplitude threshold or the preset delay trip window according to the abnormality candidate list, the confidence scores, the abnormality type and the total confidence;

[0012] an execution module, connected with the type determination module and the abnormality determination module respectively, configured to adjust the preset peak amplitude threshold or execute trip according to the abnormality type re-determined after the preset trigger amplitude threshold or the preset delay trip window is adjusted and the time distribution characteristic of the implicit abnormality determination result within a preset correction time length.

[0013] Further, the abnormality determination module comprises:

[0014] a current curve drawing unit, configured to draw a current curve according to the current within a preset determination time length;

[0015] a feature extraction unit, connected with the current curve drawing unit, configured to extract a peak amplitude from the current curve;

[0016] an abnormality determination unit, connected with the feature extraction unit, configured to determine that the implicit abnormality occurs when the cumulative number of times that the peak amplitude is greater than the preset peak amplitude threshold within the preset determination time length is greater than a preset cumulative threshold, to obtain the implicit abnormality determination result.

[0017] Further, the abnormality determination module comprises:

[0018] a trigger unit, configured to determine a plurality of characteristic parameters according to the contact displacement and the contact temperature within a preset abnormality determination time length and generate a list trigger signal when the implicit abnormality determination result is obtained;

[0019] a candidate generation unit, connected with the trigger unit, configured to generate the abnormality candidate list and the confidence scores according to the characteristic parameters when the list trigger signal is generated.

[0020] Further, the trigger unit comprises:

[0021] A synchronous trigger subunit is configured to, when the implicit abnormality determination result is obtained, acquire the contact displacement and the contact temperature within the preset abnormality determination duration, obtain a displacement sequence and a temperature sequence, calculate a Pearson correlation coefficient of the normalized displacement sequence and the normalized temperature sequence, obtain a synchronous change index, and generate a synchronous trigger signal when the synchronous change index is greater than a preset synchronous threshold value;

[0022] An amplitude trigger subunit, connected with the synchronous trigger subunit, is configured to, when the synchronous trigger signal is generated, calculate a change amplitude of the displacement sequence and a change amplitude of the temperature sequence, and generate an amplitude trigger signal when the change amplitude of the displacement sequence is greater than or equal to a preset displacement change threshold value and the change amplitude of the temperature sequence is greater than or equal to a preset temperature change threshold value;

[0023] A rate trigger subunit, connected with the amplitude trigger subunit, is configured to, when the amplitude trigger signal is generated, count a duration of the synchronous trigger signal, and determine that the abnormality candidate list needs to be generated when the duration is greater than a preset duration threshold value, to generate the list trigger signal.

[0024] Further, the candidate generation unit comprises:

[0025] An index extraction subunit is configured to, when the list trigger signal is generated, extract an average value of the change amplitude of the displacement sequence to obtain a displacement average amplitude, extract an average value of the change amplitude of the temperature sequence to obtain a temperature average amplitude, and extract the synchronous change index.

[0026] A matching subunit, connected with the index extraction subunit, is configured to perform matching according to the displacement average amplitude, the temperature average amplitude, the synchronous change index, and a preset historical abnormality feature template to obtain a feature matching result.

[0027] A candidate generation subunit, connected with the matching subunit, is configured to determine a plurality of abnormality candidates according to the feature matching result and aggregate the abnormality candidates into the abnormality candidate list, and determine the confidence score according to the feature parameter corresponding to each abnormality candidate.

[0028] Further, the type determination module comprises:

[0029] A candidate screening unit is configured to screen the abnormality candidate with the confidence score greater than a preset score threshold value from the abnormality candidate list to obtain a screened candidate.

[0030] a total confidence calculation unit connected with the candidate screening unit, configured to perform a weighted summation calculation on the confidence scores of the screening candidates to obtain a total confidence;

[0031] a contrast confidence calculation unit configured to perform a weighted summation calculation on the confidence scores of all the abnormal candidates to obtain a contrast confidence;

[0032] a type determination unit connected with the total confidence calculation unit and the contrast confidence calculation unit respectively, configured to determine the abnormal type according to the total confidence, the contrast confidence, and the preset historical abnormal feature template.

[0033] Further, the type determination unit comprises:

[0034] a bias calculation sub-unit configured to calculate a relative bias of the total confidence and the contrast confidence to obtain a confidence bias;

[0035] a type determination sub-unit connected with the bias calculation sub-unit, configured to determine the abnormal type as a contact jam type when the confidence bias and a matching degree of a first type in the preset historical abnormal feature template are the highest, and determine the abnormal type as an overload pulse type when the confidence bias and a matching degree of a second type in the preset historical abnormal feature template are the highest, and determine the abnormal type as a transient abnormal type when the confidence bias and a matching degree of a third type in the preset historical abnormal feature template are the highest.

[0036] Further, the adjustment module comprises:

[0037] a threshold adjustment unit configured to increase the preset trigger amplitude threshold according to the total confidence and a minimum value of the preset total confidence range when the abnormal type is the contact jam type and the total confidence is less than the minimum value of the preset total confidence range;

[0038] a delay adjustment unit configured to increase the preset delay trip window according to the total confidence and a minimum value of the preset total confidence range when the abnormal type is the transient abnormal type and the total confidence is within the preset total confidence range;

[0039] a tolerance convergence unit configured to decrease the preset delay trip window according to a difference between the total confidence and a maximum value of the preset total confidence range and a preset standard difference value when the abnormal type is the overload pulse type, the total confidence is greater than the maximum value of the preset total confidence range, and the difference is less than the preset standard difference value.

[0040] Further, the execution module comprises:

[0041] a distribution duration calculation unit configured to calculate a difference between a time stamp of the implicit abnormality determination result and an initial time within the preset correction duration to obtain a plurality of distribution durations;

[0042] a distribution fluctuation calculation unit connected with the distribution duration calculation unit and configured to calculate a standard deviation of all the distribution durations to obtain a distribution fluctuation degree;

[0043] a tripping execution unit connected with the distribution fluctuation calculation unit and configured to determine that a persistent abnormality occurs and execute the tripping action when the distribution fluctuation degree is greater than a maximum value of a preset fluctuation range;

[0044] a peak adjustment unit connected with the distribution fluctuation calculation unit and configured to determine that a transient aggregation type abnormality occurs and adjust the preset peak amplitude threshold value according to the distribution fluctuation degree and a minimum value of the preset fluctuation range when the distribution fluctuation degree is less than the minimum value of the preset fluctuation range.

[0045] In another aspect, the present application also provides a control method of an intelligent controller of a circuit breaker, comprising:

[0046] real-time acquisition of current, contact displacement and contact temperature in a process in which the circuit breaker runs with a preset trigger amplitude threshold value and a preset delay tripping window;

[0047] determination of whether an implicit abnormality occurs according to the current and a preset peak amplitude threshold value to obtain an implicit abnormality determination result;

[0048] determination of an abnormality candidate list and a plurality of confidence scores according to a synchronous change trend of the contact displacement and the contact temperature and a preset historical abnormality characteristic template based on the implicit abnormality determination result;

[0049] determination of a total confidence and a comparative confidence according to the abnormality candidate list and the confidence scores, and determination of an abnormality type according to the total confidence, the comparative confidence and the preset historical abnormality characteristic template;

[0050] adjustment of the preset trigger amplitude threshold value or the preset delay tripping window according to the abnormality candidate list, the confidence scores, the abnormality type and the total confidence;

[0051] adjustment of the preset peak amplitude threshold value or execution of tripping according to the abnormality type re-determined after the preset trigger amplitude threshold value or the preset delay tripping window is adjusted and a time distribution characteristic of the implicit abnormality determination result within a preset correction duration.

[0052] Compared with the prior art, the application has the beneficial effects that, through real-time collection of the current, contact displacement and contact temperature, multi-dimensional perception of the operating state of the circuit breaker is realized; in the implicit abnormality determination, abnormality candidate generation and type identification process, the synchronous change trend of the displacement and the temperature is compared with the historical abnormality characteristics, so that the confidence of the abnormality is quantified and the abnormality type is judged; based on the abnormality type and the confidence, the trigger amplitude threshold and the delay tripping window can be intelligently adjusted, and the circuit breaker response mechanism is optimized; further, through analysis of the time distribution of the implicit abnormality determination result within the preset correction time, the peak amplitude threshold can be adjusted or the tripping action can be performed, so that the persistent abnormality is timely processed. Overall, the parameters are mutually mapped and constrained, so that the abnormality determination, threshold adjustment and tripping execution form a closed-loop control, which not only improves the sensitivity of the circuit breaker to sudden and implicit abnormalities, but also takes into account the operating safety and reliability, ensures that the circuit breaker can realize accurate and efficient protection action under different loads and fault states, and effectively solves the problem of insufficient early warning capability due to the lack of detailed state recognition and prediction mechanism.

[0053] Further, by real-time drawing of the current curve of the circuit breaker within the preset determination time and extracting the peak amplitude from the curve, the frequency and amplitude of the peak can be quantified. When the cumulative number of times that the peak amplitude exceeds the preset threshold exceeds the set standard, the system automatically determines the occurrence of the implicit abnormality, so that early identification of the small abnormality of the circuit breaker is realized, the current fluctuation characteristics are combined with the abnormality determination threshold, the abnormality recognition considers both the amplitude change and the occurrence frequency, the dynamic change of the internal electrical and mechanical state of the circuit breaker can be accurately reflected, and the timeliness and reliability of the implicit abnormality detection are improved.

[0054] Further, through the cooperative work of the trigger unit and the candidate generation unit, multi-dimensional perception and determination of the state of the circuit breaker are realized. In the trigger unit, the system analyzes the change characteristics of the contact displacement and the contact temperature within the preset abnormality determination time, extracts the displacement amplitude, the temperature amplitude and the synchronous change index of the two, and forms quantifiable characteristic parameters. These characteristic parameters not only reflect the dynamic relationship between the contact mechanical movement and the temperature rise, but also reveal the development trend of the potential abnormality; the candidate generation unit generates an abnormality candidate list and calculates a confidence score by matching with the historical abnormality characteristic template, so that the possibility of different abnormality types can be distinguished, the abnormality event can be identified and accurately classified in advance, and reliable basis is provided for subsequent threshold adjustment and protection action.

[0055] Further, through the three-level decision mechanism of synchronous trigger, amplitude trigger and rate trigger, comprehensive monitoring of contact displacement and temperature change is realized. The synchronous trigger subunit can identify the coordinated change trend of displacement and temperature by calculating the correlation coefficient of displacement sequence and temperature sequence, thereby capturing the initial signal of potential abnormality; the amplitude trigger subunit can filter out obvious abnormal fluctuations by threshold determination on the change amplitude of displacement and temperature, thereby avoiding false positives caused by small fluctuations; the rate trigger subunit can determine the duration of continuous abnormality by statistics of synchronous change, thereby ensuring the reliability of the generated abnormal candidate list. This mechanism forms a hierarchical linkage between contact displacement, temperature and their change amplitude and duration, which can timely and accurately identify potential abnormalities of circuit breakers and improve the determination accuracy and control reliability.

[0056] Further, the candidate generation unit comprehensively analyzes the displacement sequence, temperature sequence and their synchronous change index, the index extraction subunit calculates the average change amplitude and synchronous change index, and the matching subunit compares these features with historical abnormal templates, thereby generating the abnormal candidate list and corresponding confidence score of the candidate generation subunit. This design enables the quantitative features of contact displacement, temperature change and their synchronous relationship to be effectively integrated, and through matching historical abnormal patterns, the system can accurately filter and sort candidate events under different abnormal conditions, thereby improving the accuracy and reliability of abnormal identification, and providing a scientific basis for subsequent type determination and threshold adjustment, realizing fast and robust response to potential faults of circuit breakers.

[0057] Further, the type determination module filters and weightedly sums the confidence scores in the abnormal candidate list, which not only enables centralized evaluation of high-confidence candidates and calculation of total confidence, but also obtains comparative confidence by comparing the weighted confidence of all candidates, thereby realizing accurate determination of abnormal types. The matching degree between each parameter and historical abnormal templates forms an internal correlation, so that the total confidence and comparative confidence can reflect the probability of abnormal occurrence and feature consistency, thereby ensuring that the determination of different abnormal types is both sensitive and robust, and providing a reliable basis for subsequent threshold adjustment and delay control, thereby improving the response accuracy and safety of the intelligent control system of circuit breakers to implicit abnormalities.

[0058] Further, by calculating the deviation between the total confidence and the contrast confidence, the overall characteristics of the abnormal candidate are matched with the historical abnormal characteristic templates, realizing the accurate differentiation of the contact sticking type, overload pulse type and transient abnormal type. The total confidence reflects the concentration degree of high-confidence candidates, and the contrast confidence reflects the overall candidate distribution. The deviation of the two can reveal the bias of the abnormal signal in different characteristic dimensions. By matching the historical templates to determine the abnormal type, the abnormality determination considers not only the single parameter amplitude, but also the multi-dimensional information of displacement, temperature and synchronous change index, thereby improving the determination accuracy and the response reliability of the control system.

[0059] Further, by adjusting the preset trigger amplitude threshold and the delay trip window for different abnormal types, adaptive optimization of the circuit breaker action characteristics is realized: when the contact sticking type abnormality and the total confidence are lower than the threshold, increasing the trigger threshold can prevent misoperation and ensure the closing stability; when the transient abnormal type and the total confidence are within a reasonable range, extending the trip window can avoid unnecessary disconnection caused by short-time peaks; when the overload pulse type and the total confidence deviation is small and lower than the standard deviation threshold, the convergence delay trip window can improve the accuracy of the action response under the premise of ensuring safety. The parameters are dynamically associated through the abnormal type, confidence and preset range, forming a closed-loop control, realizing intelligent protection and reliable operation of the circuit breaker.

[0060] Further, the time distribution of the implicit abnormality determination result within the preset correction duration is analyzed by the execution module, and the distribution fluctuation degree is calculated using the standard deviation of the distribution duration, which can effectively reflect the persistence and aggregation of abnormal events. When the distribution fluctuation degree exceeds the maximum value of the preset fluctuation range, the persistent abnormality can be accurately determined and the trip action can be executed in time to prevent the circuit breaker from being damaged due to long-term abnormality; when the distribution fluctuation degree is lower than the minimum value of the preset fluctuation range, it can be determined as a transient aggregation type abnormality, and the peak amplitude threshold is adjusted accordingly to make the determination more sensitive and avoid misjudgment. This method establishes a dynamic association between parameters through the time distribution characteristics of current, contact displacement and temperature data, realizing intelligent and fine control of circuit breaker abnormality determination and protection action.

[0061] Further, by collecting current, contact displacement and contact temperature in real time during the operation of the circuit breaker, and combining preset triggering amplitude threshold, delay tripping window, peak amplitude threshold and correction duration and other multi-dimensional parameters for hierarchical determination and dynamic adjustment, the current peak characteristics and the contact thermal-mechanical response can form a corresponding relationship, and then through the historical abnormal characteristic template to build a candidate list and calculate the confidence, the difference analysis of the total confidence and the comparative confidence is realized, so as to accurately distinguish the contact jamming type, overload pulse type and transient abnormal type and other different working conditions. On this basis, the system adjusts the threshold and the tripping window according to the confidence deviation, which can not only avoid the misoperation caused by slight disturbance, but also quickly trigger the tripping in the case of persistent abnormality, forming a dynamic coupling closed-loop control mechanism of the electric-thermal-mechanical three parameters, and significantly improving the accuracy, sensitivity and stability of the circuit breaker action. BRIEF DESCRIPTION OF DRAWINGS

[0062] Figure 1 Fig. 1 is a schematic diagram of the control system of the circuit breaker intelligent controller of the present embodiment;

[0063] Figure 2 Fig. 2 is a determination logic diagram for the abnormality determination unit of the present embodiment to determine the occurrence of implicit abnormality;

[0064] Figure 3 Fig. 3 is a determination logic diagram for the candidate screening unit of the present embodiment to determine the screening candidates;

[0065] Figure 4 Fig. 4 is a flow chart of the control method of the circuit breaker intelligent controller of the present embodiment. DETAILED DESCRIPTION

[0066] In order to make the objects and advantages of the present application clearer, the present application will be further described below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, and do not limit the present application.

[0067] The preferred embodiments of the present application will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present application, and are not intended to limit the protection scope of the present application.

[0068] Please refer to Figure 1 Fig. 1 is a schematic diagram of the control system of the circuit breaker intelligent controller of the present embodiment, on the one hand, the present embodiment provides a control system of a circuit breaker intelligent controller, which comprises:

[0069] The data acquisition module is used to collect the current, contact displacement and contact temperature in the process of the circuit breaker running with the preset triggering amplitude threshold and the preset delay tripping window in real time;

[0070] an abnormality determination module connected with the acquisition module to determine whether an implicit abnormality occurs according to the current and a preset peak amplitude threshold value, to obtain an implicit abnormality determination result;

[0071] an abnormality determination module connected with the acquisition module to determine whether an implicit abnormality occurs according to the current and a preset peak amplitude threshold value, to obtain an implicit abnormality determination result;

[0072] a type determination module connected with the abnormality determination module to determine a total confidence and a comparative confidence according to the abnormality candidate list and the confidence score, and determine an abnormality type according to the total confidence, the comparative confidence and the preset historical abnormality characteristic template;

[0073] an adjustment module connected with the abnormality determination module and the type determination module to adjust the preset trigger amplitude threshold value or the preset delay trip window according to the abnormality candidate list, the confidence score, the abnormality type and the total confidence;

[0074] an execution module connected with the type determination module and the abnormality determination module to adjust the preset peak amplitude threshold value according to the abnormality type re-determined after the preset trigger amplitude threshold value or the preset delay trip window is adjusted and the time distribution characteristics of the implicit abnormality determination result within a preset correction time length, or to perform trip.

[0075] In the embodiment, the data acquisition module acquires the current amplitude in the operation process of the circuit breaker in real time through a high-precision current transformer, to reflect the load change and possible abnormal peak; acquires the contact displacement change through a micro-displacement sensor or an optical encoder, to monitor the small mechanical action and synchronous trend of the contact; acquires the contact temperature through a temperature sensor, to reflect the heating state and contact condition of the contact. The module continuously records the current, displacement and temperature data when the circuit breaker operates at a preset trigger amplitude threshold value and a preset delay trip window, to ensure that each parameter can be synchronously and real-timely acquired, to provide an accurate and reliable data basis for subsequent abnormality determination and type analysis.

[0076] In the embodiment, the preset historical abnormality characteristic template refers to a standardized abnormality mode library established based on a large amount of circuit breaker operation history data and experimental verification results, which records the numerical range, change amplitude and synchronization index of the parameter distribution law of the contact displacement, contact temperature and their synchronous change characteristics under various typical abnormal conditions. The template is used to compare and match with the real-time acquired characteristic parameters, to generate the confidence score by quantifying the similarity of each abnormality candidate and the template, to accurately determine the abnormality type, to provide a reference basis for the intelligent monitoring and early warning of the circuit breaker.

[0077] The preset trigger amplitude threshold is a threshold for determining current abnormal triggering, depends on the circuit breaker rated current and load characteristics, is usually set between 5% to 20% of the rated current, and is set to 10% of the rated current in the embodiment, so that potential implicit abnormalities can be identified in time under load fluctuations; the preset delay tripping window is a time window for controlling the delay tripping action, depends on the circuit breaker contact response speed and overload duration, is usually set between 50 milliseconds to 200 milliseconds, and is set to 100 milliseconds in the embodiment, so that false tripping caused by transient pulses can be avoided; the preset peak amplitude threshold is an amplitude for determining current peak abnormality, depends on the circuit breaker transient overload characteristics and system noise level, is usually set between 15% to 40% of the rated current, and is set to 25% of the rated current in the embodiment, so that burst peak signals can be accurately identified; and the preset correction duration is an observation duration for analyzing time distribution of implicit abnormality determination results, depends on the abnormal event frequency and circuit breaker action period, is usually set between 0.5 seconds to 3 seconds, and is set to 1 second in the embodiment, so that distribution characteristics of short-time abnormalities can be effectively captured.

[0078] Through real-time collection of the current, contact displacement and contact temperature, multi-dimensional perception of the circuit breaker operating state is realized; in the implicit abnormality determination, abnormality candidate generation and type identification process, the synchronous change trend of displacement and temperature is compared with historical abnormal characteristics, so that the confidence of the abnormality is quantified and the abnormality type is judged; based on the abnormality type and the confidence, the trigger amplitude threshold and the delay tripping window can be intelligently adjusted, and the circuit breaker response mechanism is optimized; further, through analysis of the time distribution of the implicit abnormality determination results within the preset correction duration, the peak amplitude threshold can be adjusted or the tripping action can be performed, so that persistent abnormalities can be timely processed. Overall, the parameters are mutually mapped and constrained, so that the abnormality determination, threshold adjustment and tripping execution form a closed-loop control, which not only improves the sensitivity of the circuit breaker to burst and implicit abnormalities, but also takes into account the operating safety and reliability, ensures that the circuit breaker can realize accurate and efficient protection action under different loads and fault states, and effectively solves the problem of insufficient early warning capability due to lack of detailed state recognition and prediction mechanism.

[0079] Specifically, the abnormality determination module comprises:

[0080] a current curve drawing unit, configured to draw a current curve according to the current within a preset determination duration;

[0081] a feature extraction unit, connected with the current curve drawing unit, configured to extract a peak amplitude from the current curve;

[0082] an abnormality determination unit connected with the feature extraction unit, configured to determine occurrence of the implicit abnormality when a cumulative number of times that the peak amplitude is greater than the preset peak amplitude threshold in the preset determination duration is greater than a preset cumulative threshold, to obtain an implicit abnormality determination result.

[0083] The preset trigger amplitude threshold is used to determine the current amplitude of the circuit breaker trigger action, and is determined by the rated current and the action sensitivity of the circuit breaker, and is usually set between 5% and 10% of the rated current, and in the embodiment, is set to 10% of the rated current, which can accurately trigger the circuit breaker action and avoid misoperation; the preset delay tripping window is used to control the time range of the delay tripping of the circuit breaker, and is determined by the thermal mechanical characteristics and load characteristics of the circuit breaker, and is usually set between 50 milliseconds and 500 milliseconds, and in the embodiment, is set to 200 milliseconds, which can balance the transient fluctuation and the actual overload protection demand; the preset peak amplitude threshold is used to determine the amplitude of the current abnormal peak, and is determined by the load fluctuation amplitude and the response characteristics of the circuit breaker, and is usually set between 15% and 40% of the average current, and in the embodiment, is set to 25% of the average current, which can effectively identify the implicit abnormal peak; and the preset correction duration is used to calculate the statistical interval of the time distribution of the implicit abnormality, and is determined by the action response period of the circuit breaker and the abnormal occurrence frequency, and is usually set between 1 second and 10 seconds, and in the embodiment, is set to 5 seconds, which can sufficiently capture the time distribution characteristics of the abnormal event.

[0084] By real-time drawing the current curve of the circuit breaker in the preset determination duration, and extracting the peak amplitude from the curve, the frequency and amplitude of the peak can be quantified. When the cumulative number of times that the peak amplitude exceeds the preset threshold exceeds the set standard, the system automatically determines the occurrence of the implicit abnormality, thereby realizing early identification of the micro abnormality of the circuit breaker, combining the current fluctuation characteristics with the abnormality determination threshold, considering both the amplitude change and the occurrence frequency, accurately reflecting the dynamic change of the internal electrical and mechanical state of the circuit breaker, and improving the timeliness and reliability of the implicit abnormality detection.

[0085] Specifically, the abnormality determination module comprises:

[0086] a trigger unit configured to determine a plurality of feature parameters according to the contact displacement and the contact temperature in a preset abnormality determination duration and generate a list trigger signal when the implicit abnormality determination result is obtained;

[0087] a candidate generation unit connected with the trigger unit, configured to generate the abnormality candidate list and the confidence score according to the feature parameters when the list trigger signal is generated.

[0088] The preset abnormality determination duration is a time window for monitoring the displacement of the circuit breaker contact and the change of the temperature, is usually set between 100 milliseconds and 300 milliseconds, and is set to 200 milliseconds in the embodiment, so as to filter out short-time random fluctuations while ensuring the timely capture of abnormal signals, thereby improving the accuracy and reliability of the abnormality determination.

[0089] Through the cooperative work of the triggering unit and the candidate generation unit, multi-dimensional perception and determination of the circuit breaker state are realized. In the triggering unit, the system analyzes the change characteristics of the contact displacement and the contact temperature within the preset abnormality determination duration in real time, extracts the displacement amplitude, the temperature amplitude and the synchronous change index of the two, and forms quantifiable feature parameters. These feature parameters not only reflect the dynamic relationship between the contact mechanical movement and the temperature rise, but also reveal the development trend of the potential abnormality; the candidate generation unit generates an abnormality candidate list and calculates a confidence score through matching with a historical abnormality feature template, so as to distinguish the possibility of different abnormality types, realize the early identification and accurate classification of abnormal events, and provide a reliable basis for subsequent threshold adjustment and protection actions.

[0090] Please refer to Figure 3 The triggering unit includes:

[0091] The synchronous triggering subunit is configured to, when the implicit abnormality determination result is obtained, obtain the contact displacement and the contact temperature within the preset abnormality determination duration, obtain a displacement sequence and a temperature sequence, calculate a Pearson correlation coefficient of the normalized displacement sequence and the normalized temperature sequence to obtain a synchronous change index, and generate a synchronous triggering signal when the synchronous change index is greater than a preset synchronous threshold.

[0092] The amplitude triggering subunit is connected with the synchronous triggering subunit and is configured to, when the synchronous triggering signal is generated, calculate a change amplitude of the displacement sequence and a change amplitude of the temperature sequence, and generate an amplitude triggering signal when the change amplitude of the displacement sequence is greater than or equal to a preset displacement change threshold and the change amplitude of the temperature sequence is greater than or equal to a preset temperature change threshold.

[0093] The rate triggering subunit is connected with the amplitude triggering subunit and is configured to, when the amplitude triggering signal is generated, count the duration of the synchronous triggering signal, and determine that the abnormality candidate list needs to be generated when the duration is greater than a preset duration threshold, so as to generate the list triggering signal.

[0094] In this embodiment, the displacement sequence and the temperature sequence are normalized by the standardization Z-score, that is, each data point is subtracted from the sequence mean and then divided by the sequence standard deviation, thereby obtaining the normalized displacement sequence and the temperature sequence; the normalized sequence is used to calculate the Pearson correlation coefficient to obtain the synchronous change index, reflecting the degree of synchronous change of the contact displacement and the temperature over time. When the synchronous change index is greater than a preset synchronization threshold, a synchronous trigger signal is generated; subsequently, the amplitude trigger subunit calculates the change amplitude of the displacement and the temperature sequence, and generates an amplitude trigger signal when the amplitude is greater than or equal to a preset displacement change threshold and a preset temperature change threshold, respectively; the rate trigger subunit counts the duration of the synchronous trigger signal, and determines that an abnormal candidate list needs to be generated when the duration is greater than a preset duration threshold, thereby generating a list trigger signal to start subsequent abnormal analysis and type determination.

[0095] The preset synchronization threshold is a threshold for judging the degree of synchronous change of the displacement sequence and the temperature sequence, and depends on the normal coordination of the circuit breaker contact displacement and the temperature, and is usually set to be between 0.6 and 0.9, and is set to 0.8 in this embodiment, which can accurately screen out abnormal events with significant synchronous change; the preset displacement change threshold is a threshold for judging whether the change amplitude of the contact displacement is abnormal, and depends on the mechanical action amplitude and the allowable deviation of the contact, and is usually set to be between 0.05 mm and 0.2 mm, and is set to 0.1 mm in this embodiment, which can effectively identify potential faults caused by displacement abnormalities; the preset temperature change threshold is a threshold for judging whether the change amplitude of the contact temperature is abnormal, and depends on the thermal characteristics of the contact material and the temperature fluctuation of the operating environment, and is usually set to be between 0.5°C and 2°C, and is set to 1°C in this embodiment, which can timely discover faults that may be caused by abnormal temperature rise; the preset duration threshold is a threshold for judging the duration of the synchronous trigger signal, and depends on the duration characteristics of the contact abnormal action, and is usually set to be between 10 ms and 100 ms, and is set to 50 ms in this embodiment, which can distinguish between transient disturbances and sustained abnormal events.

[0096] Through the three-level judgment mechanism of synchronous triggering, amplitude triggering and rate triggering, comprehensive monitoring of the contact displacement and the temperature change is realized. The synchronous trigger subunit can identify the coordinated change trend of the displacement and the temperature by calculating the correlation coefficient of the displacement sequence and the temperature sequence, thereby capturing the initial signal of potential abnormalities; the amplitude trigger subunit can filter out obvious abnormal fluctuations by threshold judgment on the change amplitudes of the displacement and the temperature, thereby avoiding false positives caused by small fluctuations; the rate trigger subunit can determine the sustained abnormal signal by counting the duration of the synchronous change, thereby ensuring that the generated abnormal candidate list is real and reliable. This mechanism forms a hierarchical linkage between the contact displacement, the temperature, and the change amplitudes and durations of the parameters, which can timely and accurately identify potential abnormalities of the circuit breaker, and improve the determination accuracy and control reliability.

[0097] Specifically, the candidate generation unit includes:

[0098] The index extraction subunit is used to extract the average value of the change amplitude of the displacement sequence to obtain the average displacement amplitude when the list trigger signal is generated, and to extract the average value of the change amplitude of the temperature sequence to obtain the average temperature amplitude, and to extract the synchronization change index.

[0099] A matching subunit, which is connected to the index extraction subunit, is used to perform matching based on the average displacement amplitude, the average temperature amplitude, the synchronous change index, and the preset historical anomaly feature template to obtain feature matching results;

[0100] A candidate generation subunit, connected to the matching subunit, is used to determine several anomalous candidates based on the feature matching results and aggregate them into the anomalous candidate list, and to determine the confidence score based on the feature parameters corresponding to each anomalous candidate, wherein...

[0101] Ci represents the confidence score of the anomalous candidate; f ij denoted as , where is the j-th feature parameter of anomaly candidate i; wj is the weight of the j-th feature in the confidence score calculation, representing the importance of each feature to the anomaly determination. It depends on the significance of the feature's ability to distinguish circuit breaker anomaly types and is usually set between 0.1 and 1. In this embodiment, it is set to 0.5 to balance the contribution of different features to the confidence score and avoid excessive influence of a single feature on the determination result; Δj is the tolerance range, used to quantify the allowable deviation between the feature parameter and the historical anomaly template. It depends on the volatility of the feature itself and the measurement accuracy and is usually set between 5% and 20% of the feature's average value. In this embodiment, it is set to 10% to accurately reflect the degree of anomaly while considering measurement noise and equipment fluctuations.

[0102] The candidate generation unit comprehensively analyzes displacement sequences, temperature sequences, and their synchronous change indices. The index extraction subunit calculates the average change amplitude and synchronous change index. The matching subunit compares these features with historical anomaly templates to generate an anomaly candidate list and corresponding confidence scores for the candidate generation subunit. This design effectively integrates the quantitative characteristics of contact displacement, temperature changes, and their synchronous relationship. By matching historical anomaly patterns, the system can accurately filter and sort candidate events under different anomaly conditions, thereby improving the accuracy and reliability of anomaly identification. It also provides a scientific basis for subsequent type determination and threshold adjustment, enabling a rapid and robust response to potential circuit breaker faults.

[0103] Please see Figure 3As shown, it is the determination logic diagram for determining and screening the screening candidates by the candidate screening unit in the embodiment, and the type determining module includes:

[0104] The candidate screening unit is configured to screen the abnormal candidates with the confidence score greater than the preset score threshold from the abnormal candidate list to obtain the screening candidates.

[0105] The total confidence calculation unit is connected with the candidate screening unit and configured to perform weighted summation calculation on the confidence scores of the screening candidates to obtain the total confidence.

[0106] The comparative confidence calculation unit is configured to perform weighted summation calculation on the confidence scores of all the abnormal candidates to obtain the comparative confidence.

[0107] The type determining unit is connected with the total confidence calculation unit and the comparative confidence calculation unit respectively and configured to determine the abnormal type according to the total confidence, the comparative confidence and the preset historical abnormal feature template.

[0108] The preset score threshold is used to screen the abnormal candidates and to determine which candidates with low confidence do not participate in the subsequent type determination. The threshold depends on the tolerance of the system to misjudgment and omission, and is usually set between 0.5 and 0.9. In the embodiment, the threshold is set to 0.7, which can effectively eliminate the candidates with low confidence and ensure the accuracy of the abnormal type determination.

[0109] The weight for performing the weighted summation calculation on the confidence scores of the screening candidates is used to calculate the total confidence. The feature parameters of each abnormal candidate are given specific weights according to their importance. The weight depends on the influence degree of the feature on the abnormal type judgment, and is usually set between 0 and 1 and normalized. In the embodiment, the weight is set according to the historical data and feature analysis, so that the total confidence can truly reflect the contribution of the screening candidates to the abnormal determination. In the embodiment, the feature parameters of the screening candidates include three parameters: average displacement amplitude, average temperature amplitude and synchronous change index, and the corresponding weights are 0.4, 0.3 and 0.3, respectively. The total confidence calculated by the weights can fully reflect the contribution proportion of each feature parameter to the abnormal determination.

[0110] The weight for performing the weighted summation calculation on the confidence scores of all the abnormal candidates is used to calculate the comparative confidence. The feature parameters of all the candidates are given weights to reflect their importance in the overall abnormal pattern. The weight depends on the matching degree of the candidate in the historical abnormal feature template, and is usually set between 0 and 1 and normalized. In the embodiment, the weights of the candidates are balanced, so that the comparative confidence can comprehensively reflect the abnormal feature distribution and provide a reference basis for the type determination.

[0111] The confidence scores in the abnormal candidate list are filtered and weighted summed by the type determination module, which can not only concentrate on the evaluation of high confidence candidates to calculate the total confidence, but also obtain the comparison confidence by comparing the weighted confidence of all candidates, so as to realize the accurate determination of the abnormal type. The parameters are internally related through the matching degree of the feature parameters of the candidate and the historical abnormal template, so that the total confidence and the comparison confidence can reflect the probability of abnormal occurrence and the consistency of the characteristics, thereby ensuring that the determination of different abnormal types is sensitive and robust, and providing a reliable basis for subsequent threshold adjustment and delay control, and improving the response accuracy and safety of the intelligent control system of the circuit breaker to the implicit abnormality.

[0112] Specifically, the type determination unit comprises:

[0113] a deviation calculation sub-unit configured to calculate the relative deviation of the total confidence and the comparison confidence to obtain a confidence deviation;

[0114] a type determination sub-unit connected with the deviation calculation sub-unit, configured to determine that the abnormal type is the contact sticking type when the confidence deviation and the matching degree of the first type in the preset historical abnormal feature template are the highest, determine that the abnormal type is the overload pulse type when the confidence deviation and the matching degree of the second type in the preset historical abnormal feature template are the highest, and determine that the abnormal type is the transient abnormal type when the confidence deviation and the matching degree of the third type in the preset historical abnormal feature template are the highest.

[0115] In the embodiment, the matching of the confidence deviation and the preset historical abnormal feature template is completed by calculating the similarity of the confidence deviation and each type of historical abnormal feature template. Specifically, the historical abnormal feature template of each abnormal type is represented as a multi-dimensional feature vector (including displacement average amplitude, temperature average amplitude, synchronization change index and other normalized features), and then the cosine similarity of the confidence deviation calculated at present and each template vector is calculated to obtain the matching degree. The abnormal type corresponding to the historical abnormal feature template with the highest matching degree is determined as the current abnormal type, so that the real-time collected abnormal signal is accurately matched with the historical known abnormal mode, and the automation and reliability of type determination are realized.

[0116] In the embodiment, the contact jamming type anomaly refers to slow switch action or incomplete closing of the circuit breaker contact due to mechanical jamming or abnormal resistance, which is manifested as slow and continuous abnormal change in contact displacement; the overload pulse type anomaly refers to short-time pulse overload of the circuit breaker when the current exceeds the rated value, with short-term fluctuation but not persistence in contact displacement and temperature; the transient anomaly type anomaly refers to transient change in contact displacement and temperature due to transient interference or short-time current peak of the circuit breaker, but the normality is restored in a very short time, which correspond to different mechanical or electrical anomaly characteristics, and can be distinguished by the amplitude, rate of change and duration of displacement, temperature and current signals.

[0117] By calculating the deviation between the total confidence and the contrast confidence, the overall characteristics of the abnormal candidate are matched with the historical anomaly characteristic template, and accurate distinction of the contact jamming type, the overload pulse type and the transient anomaly type is realized. The total confidence reflects the concentration degree of high-confidence candidates, and the contrast confidence reflects the overall candidate distribution. The deviation of the two can reveal the bias of the abnormal signal in different characteristic dimensions, and the type of the abnormality is determined by matching the historical template, so that the abnormality determination not only considers the amplitude of a single parameter, but also comprehensively considers the multi-dimensional information of displacement, temperature and synchronous change index, thereby improving the determination accuracy and the response reliability of the control system.

[0118] Specifically, the adjustment module comprises a threshold adjustment unit configured to increase the preset trigger amplitude threshold according to the total confidence and the minimum value of the preset total confidence range when the abnormal type is the contact jamming type and the total confidence is less than the minimum value of the preset total confidence range, wherein,

[0119] Y' is the increased preset trigger amplitude threshold, Y is the preset trigger amplitude threshold before being increased, k1 is a preset threshold adjustment coefficient, Zmin is the minimum value of the preset total confidence range, and Z is the total confidence;

[0120] The delay adjustment unit is configured to increase the preset delay trip window according to the total confidence and the minimum value of the preset total confidence range when the abnormal type is the transient anomaly type and the total confidence is within the preset total confidence range,

[0121] wherein, Q' is the increased preset delay trip window, Q is the preset delay trip window before being increased, and k2 is a preset window adjustment coefficient;

[0122] a tolerance convergence unit configured to, when the abnormal type is the overload pulse type, the total confidence is greater than the maximum value of the preset total confidence range, and a difference between the total confidence and the maximum value of the preset total confidence range is less than a preset standard difference value, decrease the preset delay trip window according to the difference between the total confidence and the maximum value of the preset total confidence range and the preset standard difference value, wherein

[0123] W is the difference between the total confidence and the maximum value of the preset total confidence range, and W' is the preset standard difference value.

[0124] The preset total confidence range is a numerical interval for judging reliability of an abnormal candidate group, and is determined according to historical abnormal data and a requirement of a system on reliability of circuit breaker action, is usually set to be between [0.5, 0.9], and is set to be [0.7, 0.85] in the embodiment, can effectively distinguish high confidence and low confidence events when screening abnormal candidates, and thus can guide reasonable adjustment of a threshold or a delay trip window; the preset standard difference value is a reference quantity for measuring fluctuation sensitivity of a difference between the total confidence and the maximum value of the preset total confidence range, is determined according to stability of historical confidence distribution of the circuit breaker under different load conditions, is usually set to be between 0.05 and 0.2, and is set to be 0.1 in the embodiment, can realize rapid convergence and accurate adjustment of the delay trip window when the overload pulse type abnormality occurs; the preset threshold adjustment coefficient is used for controlling a dynamic increase ratio of the preset trigger amplitude threshold when the contact sticking type abnormality occurs, is determined according to sensitivity of contact displacement change to current impact, is usually set to be between 0.1 and 0.5, and is set to be 0.2 in the embodiment, can avoid misjudgment caused by slight fluctuation and improve system robustness; and the preset window adjustment coefficient is used for controlling a dynamic adjustment range of the preset delay trip window when the transient abnormality type or the overload pulse type abnormality occurs, is determined according to concentration of current peak duration distribution, is usually set to be between 0.05 and 0.3, and is set to be 0.1 in the embodiment, can guarantee action reliability while taking into account tolerance to transient disturbance.

[0125] By respectively adjusting the preset trigger amplitude threshold and the delay trip window for different abnormal types, adaptive optimization of the circuit breaker action characteristics is realized: when the contact sticking type abnormality and the total confidence are lower than the threshold, increasing the trigger threshold can prevent misoperation and ensure closing stability; when the transient abnormality type and the total confidence are within a reasonable range, prolonging the trip window can avoid unnecessary disconnection caused by short-time peaks; and when the overload pulse type and the total confidence deviation are small and lower than the standard difference threshold, converging the delay trip window can improve accuracy of action response on the premise of ensuring safety. The parameters are dynamically associated through the abnormal type, the confidence and the preset range, a closed-loop regulation is formed, and intelligent protection and reliable operation of the circuit breaker are realized.

[0126] Specifically, the execution module comprises:

[0127] a distribution duration calculation unit configured to calculate a difference between a time stamp of the implicit abnormality determination result within the preset correction duration and an initial time to obtain a plurality of distribution durations;

[0128] a distribution fluctuation calculation unit connected with the distribution duration calculation unit and configured to calculate a standard deviation of all the distribution durations to obtain a distribution fluctuation degree;

[0129] a tripping execution unit connected with the distribution fluctuation calculation unit and configured to determine that a persistent abnormality occurs and execute the tripping action when the distribution fluctuation degree is greater than a maximum value of a preset fluctuation range;

[0130] a peak adjustment unit connected with the distribution fluctuation calculation unit and configured to determine that a transient aggregation type abnormality occurs and adjust the preset peak amplitude threshold according to the distribution fluctuation degree and a minimum value of the preset fluctuation range when the distribution fluctuation degree is less than the minimum value of the preset fluctuation range.

[0131] The preset fluctuation range is generally determined according to the circuit breaker contact action characteristics and the current fluctuation condition, and the specific value is determined by the standard deviation statistical result of the implicit abnormality distribution duration in the normal operation state. It is usually set between [5 ms, 20 ms], and in the embodiment, it is specifically set to [6 ms, 19 ms], which can effectively distinguish the transient aggregation type abnormality from the persistent abnormality, thereby accurately adjusting the tripping or peak amplitude threshold.

[0132] By executing the module to analyze the time distribution of the implicit abnormality determination result within the preset correction duration, the distribution fluctuation degree is calculated by using the standard deviation of the distribution duration, which can effectively reflect the persistence and aggregation of the abnormal event. When the distribution fluctuation degree exceeds the maximum value of the preset fluctuation range, the persistent abnormality can be accurately determined and the tripping action can be executed in time to prevent the circuit breaker from being damaged due to long-time abnormality. When the distribution fluctuation degree is lower than the minimum value of the preset fluctuation range, it can be determined as a transient aggregation type abnormality, and the peak amplitude threshold is adjusted accordingly, so that the determination is more sensitive and false positives are avoided. The method dynamically correlates the parameters by the time distribution characteristics of the current, contact displacement and temperature data, and realizes the intelligent and fine control of the circuit breaker abnormality determination and protection action.

[0133] Please refer to Figure 4 The control method of the circuit breaker intelligent controller provided in the embodiment is shown in the flowchart, and on the other hand, the embodiment also provides a control method of a circuit breaker intelligent controller, which comprises:

[0134] real-time acquisition of the current, contact displacement and contact temperature in the process of running of the circuit breaker with the preset trigger amplitude threshold and the preset delay tripping window;

[0135] determine whether an implicit abnormality occurs according to the current and a preset peak amplitude threshold value, to obtain an implicit abnormality determination result;

[0136] based on the implicit abnormality determination result, determine an abnormality candidate list and a plurality of confidence scores according to synchronous change trends of the contact displacement and the contact temperature and a preset historical abnormality feature template;

[0137] determine a total confidence and a comparative confidence according to the abnormality candidate list and the confidence scores, and determine an abnormality type according to the total confidence, the comparative confidence and the preset historical abnormality feature template;

[0138] adjust the preset trigger amplitude threshold value or the preset delay trip window according to the abnormality candidate list, the confidence scores, the abnormality type and the total confidence;

[0139] adjust the preset peak amplitude threshold value according to the abnormality type re-determined after the preset trigger amplitude threshold value or the preset delay trip window is adjusted and a time distribution feature of the implicit abnormality determination result within a preset correction duration, or perform tripping.

[0140] By collecting the current, the contact displacement and the contact temperature in real time during the operation of the circuit breaker, and combining the preset trigger amplitude threshold value, the delay trip window, the peak amplitude threshold value and the correction duration and other multi-dimensional parameters for hierarchical determination and dynamic adjustment, the current peak feature and the contact thermal-mechanical response can form a corresponding relationship, and then a candidate list is constructed and a confidence is calculated through a historical abnormality feature template, differential analysis of the total confidence and the comparative confidence is realized, so that different working conditions such as the contact jamming type, the overload pulse type and the transient abnormality type can be accurately distinguished. On this basis, the system adjusts the threshold value and the trip window according to the confidence deviation, which can not only avoid misoperation caused by slight disturbance, but also quickly trigger tripping in persistent abnormality, forming a dynamic coupling closed-loop control mechanism of the electric-thermal-mechanical three parameters, and significantly improving the accuracy, sensitivity and stability of the circuit breaker action.

[0141] The above only describes preferred embodiments of the present application and is not used to limit the present application; for those skilled in the art, the present application can have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A control system for a circuit breaker intelligent controller, the control system comprising: The circuit breaker includes: a data acquisition module configured to acquire, in real time, current, contact displacement, and contact temperature during operation of the circuit breaker at a preset triggering amplitude threshold and a preset delay tripping window; an abnormality determination module connected to the data acquisition module and configured to determine whether an implicit abnormality occurs according to the current and a preset peak amplitude threshold to obtain an implicit abnormality determination result; an abnormality determination module connected to the data acquisition module and the abnormality determination module and configured to determine an abnormality candidate list and a plurality of confidence scores based on the implicit abnormality determination result, the synchronous change trend of the contact displacement and the contact temperature, and a preset historical abnormality feature template; a type determination module connected to the abnormality determination module and configured to determine a total confidence and a comparative confidence based on the abnormality candidate list and the confidence scores, and determine an abnormality type based on the total confidence, the comparative confidence, and the preset historical abnormality feature template; an adjustment module connected to the abnormality determination module and the type determination module and configured to adjust the preset triggering amplitude threshold or the preset delay tripping window based on the abnormality candidate list, the confidence scores, the abnormality type, and the total confidence; an execution module connected to the type determination module and the abnormality determination module and configured to adjust the preset peak amplitude threshold based on the abnormality type re-determined after the preset triggering amplitude threshold or the preset delay tripping window is adjusted, and the time distribution characteristics of the implicit abnormality determination result within a preset correction time length, or perform tripping.

2. The control system of the intelligent controller of a circuit breaker according to claim 1, characterized in that, The abnormality determination module includes: a current curve drawing unit configured to draw a current curve based on the current within a preset determination time length; a feature extraction unit connected to the current curve drawing unit and configured to extract a peak amplitude from the current curve; an abnormality determination unit connected to the feature extraction unit and configured to determine that the implicit abnormality occurs when the cumulative number of times that the peak amplitude is greater than the preset peak amplitude threshold within the preset determination time length is greater than a preset cumulative threshold, to obtain the implicit abnormality determination result.

3. The control system of an intelligent controller of a circuit breaker according to claim 2, characterized in that, The abnormality determination module includes: a triggering unit configured to determine a plurality of feature parameters based on the contact displacement and the contact temperature within a preset abnormality determination time length when the implicit abnormality determination result is obtained, and generate a list triggering signal; 4. The control system of claim 3, wherein, a candidate generation unit connected to the triggering unit and configured to generate the abnormality candidate list and the confidence scores based on the feature parameters when the list triggering signal is generated. The triggering unit includes: a synchronous triggering subunit configured to, when the implicit abnormality determination result is obtained, acquire the contact displacement and the contact temperature within the preset abnormality determination time length, obtain a displacement sequence and a temperature sequence, calculate a Pearson correlation coefficient of a normalized displacement sequence and a normalized temperature sequence to obtain a synchronous change index, and generate a synchronous triggering signal when the synchronous change index is greater than a preset synchronization threshold. an amplitude trigger subunit, connected with the synchronization trigger subunit, configured to calculate a variation amplitude of the displacement sequence and a variation amplitude of the temperature sequence when the synchronization trigger signal is generated, and generate an amplitude trigger signal when the variation amplitude of the displacement sequence is greater than or equal to a preset displacement variation threshold and the variation amplitude of the temperature sequence is greater than or equal to a preset temperature variation threshold; a rate trigger subunit, connected with the amplitude trigger subunit, configured to count a duration of the synchronization trigger signal when the amplitude trigger signal is generated, and determine that the list trigger signal needs to be generated when the duration is greater than a preset duration threshold.

5. The control system of the intelligent controller of a circuit breaker according to claim 4, wherein, The candidate generating unit comprises: an index extracting subunit, configured to extract an average value of the variation amplitude of the displacement sequence to obtain a displacement average amplitude, extract an average value of the variation amplitude of the temperature sequence to obtain a temperature average amplitude, and extract the synchronization variation index when the list trigger signal is generated; a matching subunit, connected with the index extracting subunit, configured to perform matching according to the displacement average amplitude, the temperature average amplitude, the synchronization variation index and the preset historical abnormal feature template to obtain a feature matching result; a candidate generating subunit, connected with the matching subunit, configured to determine a plurality of abnormal candidates according to the feature matching result and aggregate the abnormal candidates into the abnormal candidate list, and determine the confidence score according to the feature parameter corresponding to each abnormal candidate. The type determining module comprises: a candidate screening unit, configured to screen the abnormal candidates with the confidence score greater than a preset score threshold from the abnormal candidate list to obtain screened candidates; a total confidence calculating unit, connected with the candidate screening unit, configured to perform weighted summation calculation on the confidence scores of the screened candidates to obtain a total confidence; 6. The control system of the intelligent controller of a circuit breaker according to claim 5, wherein, a comparative confidence calculating unit, configured to perform weighted summation calculation on the confidence scores of all the abnormal candidates to obtain a comparative confidence; a type determining unit, connected with the total confidence calculating unit and the comparative confidence calculating unit respectively, configured to determine the abnormal type according to the total confidence, the comparative confidence and the preset historical abnormal feature template. The type determining unit comprises: a deviation calculating subunit, configured to calculate a relative deviation of the total confidence and the comparative confidence to obtain a confidence deviation; a type determining subunit, connected with the deviation calculating subunit, configured to determine that the abnormal type is a contact sticking type when the confidence deviation and a matching degree of a first type in the preset historical abnormal feature template are the highest, determine that the abnormal type is an overload pulse type when the confidence deviation and a matching degree of a second type in the preset historical abnormal feature template are the highest, and determine that the abnormal type is a transient abnormal type when the confidence deviation and a matching degree of a third type in the preset historical abnormal feature template are the highest.

7. The control system of the intelligent controller of a circuit breaker according to claim 6, wherein, ​ ​ 8. The control system of the intelligent controller of a circuit breaker according to claim 7, characterized by, The adjustment module comprises: a threshold adjustment unit configured to increase the preset trigger amplitude threshold according to the total confidence and the minimum value of the preset total confidence range when the abnormal type is the contact sticking type and the total confidence is less than the minimum value of the preset total confidence range; a delay adjustment unit configured to increase the preset delay trip window according to the total confidence and the minimum value of the preset total confidence range when the abnormal type is the transient abnormal type and the total confidence is within the preset total confidence range; a tolerance convergence unit configured to decrease the preset delay trip window according to the difference between the total confidence and the maximum value of the preset total confidence range and the preset standard difference value when the abnormal type is the overload pulse type, the total confidence is greater than the maximum value of the preset total confidence range, and the difference between the total confidence and the maximum value of the preset total confidence range is less than the preset standard difference value.

9. The control system of the intelligent controller of a circuit breaker according to claim 8, wherein, The execution module comprises: a distribution duration calculation unit configured to calculate the difference between the time stamp of the implicit abnormality determination result within the preset correction duration and the initial time to obtain a plurality of distribution durations; a distribution fluctuation calculation unit connected with the distribution duration calculation unit and configured to calculate the standard deviation of all the distribution durations to obtain a distribution fluctuation degree; a trip execution unit connected with the distribution fluctuation calculation unit and configured to determine that a persistent abnormality occurs and execute the trip action when the distribution fluctuation degree is greater than the maximum value of the preset fluctuation range; a peak adjustment unit connected with the distribution fluctuation calculation unit and configured to determine that a transient aggregation type abnormality occurs and adjust the preset peak amplitude threshold according to the distribution fluctuation degree and the minimum value of the preset fluctuation range when the distribution fluctuation degree is less than the minimum value of the preset fluctuation range.

10. A control method of a circuit breaker intelligent controller, applied to the control system of the circuit breaker intelligent controller according to any one of claims 1-9, characterized in that, The method comprises: collecting, in real time, the current, contact displacement, and contact temperature of a circuit breaker during operation of the circuit breaker at a preset trigger amplitude threshold and a preset delay trip window; determining whether an implicit abnormality occurs according to the current and a preset peak amplitude threshold to obtain an implicit abnormality determination result; based on the implicit abnormality determination result, determining an abnormal candidate list and a plurality of confidence scores according to the synchronous change trend of the contact displacement and the contact temperature and a preset historical abnormality feature template; determining a total confidence and a comparative confidence according to the abnormal candidate list and the confidence scores, and determining an abnormal type according to the total confidence, the comparative confidence, and the preset historical abnormality feature template; adjusting the preset trigger amplitude threshold or the preset delay trip window according to the abnormal candidate list, the confidence scores, the abnormal type, and the total confidence; adjusting the preset peak amplitude threshold according to the time distribution characteristics of the implicit abnormality determination result within a preset correction duration after the abnormal type is determined again after the preset trigger amplitude threshold or the preset delay trip window is adjusted, or executing a trip.

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