A circuit breaker anomaly early warning method, system and related device

Abstract

This application provides a circuit breaker anomaly early warning method, comprising: acquiring real-time characteristic parameter data containing the circuit breaker's operating status; processing the real-time characteristic parameter data to obtain a corresponding time series; constructing a time series to obtain a time point sequence; performing mutation analysis on the characteristic parameter data in the time point sequence to obtain mutation analysis results; and determining the current operating status of the circuit breaker based on the mutation analysis results. This application can detect potential mutation points that may lead to faults before the circuit breaker experiences anomalies. Through a mutation anomaly early warning analysis model, it can accurately identify abnormal mutation characteristics in the early stages of circuit breaker faults, thereby effectively reducing the circuit breaker's failure rate and ensuring its safe operation. This application also provides a circuit breaker anomaly early warning system, a computer-readable storage medium, and an electronic device, which have the aforementioned beneficial effects.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of electronic devices, in particular to a circuit breaker abnormality early warning method, system and related device. BACKGROUND

[0002] The circuit breaker is an electrical component that plays an important role in power distribution and circuit protection in a substation. It can close, carry and open the current under normal circuit conditions and can close, carry and open the current under abnormal circuit conditions within a specified time. It plays an extremely important role in the safe and stable operation of the power grid. Once the circuit breaker fails, it will have serious consequences. Collecting, analyzing and judging the characteristic parameters reflecting the operating state of the circuit breaker can effectively prevent the occurrence of circuit breaker failure.

[0003] The current main early warning method is threshold alarm method. After receiving the input of state characteristic parameter data, the threshold alarm method first compares it with the alarm threshold specified in the regulation. If the state quantity data exceeds the threshold in the regulation, it means that the circuit breaker has defects and is in the process of deterioration, and needs to be repaired. If the received state quantity data does not exceed the threshold in the regulation, it means that the circuit breaker is in a normal operating state.

[0004] However, the deterioration of the circuit breaker and other distribution equipment is a long-term and slow process. If an alarm is only issued when it is close to failure or failure, it will still not be able to avoid the consequences of equipment safety, economic loss and social impact. How to accurately grasp the mutation point of the deterioration trend of the circuit breaker at the early stage of deterioration and prevent it from happening is a technical problem that needs to be solved by those skilled in the art. SUMMARY

[0005] The purpose of the present application is to provide a circuit breaker abnormality early warning method, a circuit breaker abnormality early warning system, a computer readable storage medium and an electronic device, which can analyze the mutation point based on the operating state of the circuit breaker and discover the defects and failures of the circuit breaker as soon as possible.

[0006] To solve the above technical problems, the present application provides a circuit breaker abnormality early warning method, and the specific technical solutions are as follows:

[0007] Obtain real-time characteristic parameter data containing the operating state of the circuit breaker;

[0008] Perform data processing on the real-time characteristic parameter data to obtain a corresponding time series;

[0009] Construct the time series to obtain a time point rank sequence;

[0010] Perform mutation analysis on the characteristic parameter data in the time point rank sequence to obtain a mutation analysis result;

[0011] determine the current operating state of the circuit breaker according to the mutation analysis result.

[0012] Optionally, the real-time characteristic parameter data includes an SF6 gas pressure state quantity and an SF6 gas moisture state quantity in the circuit breaker.

[0013] Optionally, the mutation analysis on the characteristic parameter data in the rank sequence to obtain the mutation analysis result includes:

[0014] The mutation analysis on the characteristic parameter data in the rank sequence to obtain the mutation analysis result is performed by using a Mann-Kendall mutation test method.

[0015] Optionally, the mutation analysis on the characteristic parameter data in the rank sequence to obtain the mutation analysis result by using a Mann-Kendall mutation test method includes:

[0016] read a characteristic parameter database to obtain data obtained at each time point;

[0017] fuse a Pettitt mutation analysis formula and a Mann-Kendall mutation test formula to obtain a fusion formula;

[0018] The fusion formula is used to test a statistical variable of the characteristic parameter data, and a standard normal statistical variable is calculated according to the statistical variable; if the standard normal statistical variable is a positive value, the rank sequence gradually increases over time; if the standard normal statistical variable is a negative value, the rank sequence gradually decreases; and if the standard normal statistical variable has an abnormal change, it indicates that an alternation point of the rank sequence has a mutation.

[0019] Optionally, obtaining the real-time characteristic parameter data including the operating state of the circuit breaker includes:

[0020] The real-time characteristic parameter data including the operating state of the circuit breaker is obtained by a sensor arranged in the circuit breaker.

[0021] Optionally, if the current operating state of the circuit breaker is determined to be an abnormal state according to the mutation analysis result, the method further includes:

[0022] generating maintenance information including the abnormal state, and alarming based on the maintenance information.

[0023] The application also provides a circuit breaker abnormality early warning system, including:

[0024] a data acquisition module configured to acquire real-time characteristic parameter data including an operating state of the circuit breaker;

[0025] a data preprocessing module, configured to perform data processing on the real-time characteristic parameter data to obtain a corresponding time sequence;

[0026] a time sequence construction module, configured to construct the time sequence to obtain a time point rank sequence;

[0027] a mutation analysis module, configured to perform mutation analysis on the characteristic parameter data in the time point rank sequence to obtain a mutation analysis result;

[0028] a state judgment module, configured to determine a current operation state of the circuit breaker according to the mutation analysis result.

[0029] Optionally, the mutation analysis module is a module configured to perform mutation analysis on the characteristic parameter data in the rank sequence by using a Mann-Kendall mutation test method to obtain a mutation analysis result.

[0030] The application further provides a computer readable storage medium having a computer program stored thereon, the computer program being executed by a processor to implement the steps of the method.

[0031] The application further provides an electronic device comprising a memory and a processor, the memory having a computer program stored therein, the processor being configured to call the computer program in the memory to implement the steps of the method.

[0032] The application provides a circuit breaker abnormality early warning method, comprising: acquiring real-time characteristic parameter data containing an operation state of the circuit breaker; performing data processing on the real-time characteristic parameter data to obtain a corresponding time sequence; constructing the time sequence to obtain a time point rank sequence; performing mutation analysis on the characteristic parameter data in the time point rank sequence to obtain a mutation analysis result; and determining a current operation state of the circuit breaker according to the mutation analysis result.

[0033] The application can discover the mutation point that may cause a fault of the circuit breaker in advance before the circuit breaker appears abnormal, can accurately identify the abnormal mutation characteristic information of the circuit breaker in the initial stage of the fault of the circuit breaker by using a mutation abnormality early warning analysis model, and can notify the on-site staff to perform maintenance, thereby effectively reducing the failure rate of the circuit breaker and ensuring the safe operation of the circuit breaker.

[0034] The application further provides a circuit breaker abnormality early warning system, a computer readable storage medium and an electronic device, which have the above beneficial effects, and details are not repeated here. BRIEF DESCRIPTION OF DRAWINGS

[0035] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings described below only are a part of the embodiments of the present application, and for those skilled in the art, other drawings can be obtained based on the provided drawings without creative labor.

[0036] Figure 1 A flow chart of a circuit breaker abnormality early warning method provided by an embodiment of the present application;

[0037] Figure 2 A structure schematic diagram of a circuit breaker abnormality early warning system provided by an embodiment of the present application. DETAILED DESCRIPTION

[0038] In order to make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the following will combine the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the protection scope of the present application.

[0039] Reference is made to Figure 1 , Figure 1 A flow chart of a circuit breaker abnormality early warning method provided by an embodiment of the present application, the method comprising:

[0040] S101: acquiring real-time characteristic parameter data containing the running state of the circuit breaker;

[0041] This step aims to acquire real-time characteristic parameter data, and the specific content of the real-time characteristic parameter data is not limited herein, which can contain data reflecting the characteristic parameters of the running state of the circuit breaker, such as SF6 gas pressure state quantity and SF6 gas moisture state quantity in the circuit breaker, etc. Generally, the gas pressure of SF6 in the high-voltage circuit breaker is 0 if the gas pressure is 7MPa or above. If the gas filling pressure is 20℃ 0 75mpa (equivalent to the working pressure commonly used in the circuit breaker), the corresponding liquefaction temperature is about 25℃, and if the gas filling pressure is 20℃ 0 45MPa, the corresponding liquefaction temperature is -40℃. Therefore, the running state of the current circuit breaker can be judged by acquiring the SF6 gas pressure state quantity.

[0042] The way of acquiring the real-time characteristic parameter data is not limited herein, taking SF6 gas as an example, which can be directly measured by the gas testing instrument connected with the circuit breaker, or the value of the measuring instrument of the SF6 gas in the circuit breaker can be directly obtained by using the third-party electronic equipment.

[0043] It is to be noted that the data acquisition process performed in this step can include multiple executions, i.e., this step can be executed multiple times to acquire real-time characteristic parameter data in the past period of time to the present time, or the change state of the characteristic parameter data in the next period of time can be acquired from the execution of this step.

[0044] S102: performing data processing on the real-time characteristic parameter data to obtain a corresponding time sequence;

[0045] This step needs to perform data processing on the real-time characteristic parameter data acquired in the previous step, thereby obtaining a time sequence. The time sequence is used to feedback the change relationship between the real-time characteristic parameter data and time.

[0046] S103: constructing the time sequence to obtain a time point rank sequence;

[0047] This step needs to construct the time sequence, i.e., perform serialization processing, thereby obtaining a time point rank sequence. In this regard, how to construct is not limited, and a time sequence model such as an ARMA (Autoregressive moving average model) model can be used for processing, and the time point rank sequence is obtained based on the time sequence model.

[0048] S104: performing mutation analysis on the characteristic parameter data in the time point rank sequence to obtain a mutation analysis result;

[0049] This step needs to perform mutation analysis on the characteristic parameter data in the time point rank sequence. In this regard, how to use mutation analysis is not limited.

[0050] In a feasible manner, the mutation analysis on the characteristic parameter data in the rank sequence can be performed based on a Mann-Kendall mutation test method, thereby obtaining a mutation analysis result.

[0051] In the Mann-Kendall mutation test method, the original hypothesis H0 is a time sequence data (x1, x2, x3,...x n ), which is a sample of n independent random variable distributions; for all k, j k and x j are different, and the test statistic is S.

[0052] The test formula corresponding to the Mann-Kendall mutation test method is as follows:

[0053]

[0054] Wherein, S is the test statistics; n is the number of data; k and j are intermediate quantities in the calculation process;

[0055]

[0056] It needs to calculate the rank sequence of the sequential time series and the rank sequence of the inverse time series in turn. The rank sequence Sk of the sequential time series is calculated, and UFk is calculated according to the equation, then the rank sequence sk of the inverse time series is calculated, and UBk is calculated according to the equation. The two statistical quantity sequences UFk and UBk are plotted on a graph. Given the significance level, the critical value can be determined according to the significance level. Thus two sequence curves are obtained. The UFk and UBk curve graph is analyzed thereafter. If the value of UFk or UBk is greater than 0, it indicates that the sequence shows an upward trend, and if it is less than 0, it indicates that it shows a downward trend.

[0057] And in another possible way of the present step, the Pettitt mutation analysis method can also be fused with the Mann-Kendall method to obtain a new calculation method, and the specific process can be as follows:

[0058] First step, reading the characteristic parameter database to obtain the data obtained at each time point;

[0059] Second step, fusing the Pettitt mutation analysis formula with the Mann-Kendall mutation check formula to obtain a fusion formula;

[0060] Third step, using the fusion formula to test the statistical variables of the characteristic parameter data, and calculating the standard normal statistical variables according to the statistical variables; wherein, if the standard normal statistical variables are positive, the rank sequence gradually increases with time; if the standard normal statistical variables are negative, the rank sequence gradually decreases with time; if the standard normal statistical variables have abnormal changes, it indicates that the alternating point of the rank sequence has a mutation.

[0061] The test formula obtained by fusion is:

[0062]

[0063] Wherein, S is the test statistics; n is the number of data; i and j are intermediate quantities in the calculation process; τ is any integer in the interval [2, n].

[0064] Then according to the value of the test statistical variable S obtained, the standard normal statistical variable Z MK :

[0065]

[0066] Wherein, Z MKis a normal statistical variable; S is a test statistic; and Var(S) is the variance of S.

[0067] S105: determining the current operating state of the circuit breaker according to the mutation analysis result.

[0068] A positive (negative) representation of a standard normal statistical variable indicates that the data has a trend of increasing (decreasing) over time. If the positive or negative value of the trend changes abnormally, it indicates that the alternating point has a mutation, which can include continuous growth, continuous reduction, data transition, and other abnormal characteristics. At this time, maintenance information containing the abnormal state can be generated, and an alarm can be given based on the maintenance information to timely notify the staff to repair. In other cases, it is determined that the device is affected by noise and other external factors, resulting in temporary deviation of the detection data.

[0069] The present application performs abnormal analysis and early warning on the state anomaly of the circuit breaker, solves the characteristics of single, extensive, and unsuitable for different places of the threshold analysis alarm discrimination method, and can accurately identify the abnormal mutation characteristic information of the circuit breaker at the initial stage of failure through the mutation abnormal early warning analysis model, and notify the on-site staff to repair and maintain, thereby effectively reducing the failure rate of the circuit breaker. Meanwhile, the present application accurately captures these data abnormal characteristics and realizes timely early warning, thereby ensuring the safe operation of the circuit breaker.

[0070] Based on the present application, if the Pettitt mutation analysis method and the Mann-Kendall method are fused in the test mode, the sample does not need to comply with a certain distribution, and whether the time series has a mutation can be quickly judged. Compared with the characteristic that the "Mann-Kendall mutation test" can only detect a single mutation point, the fusion mode with the "Pettitt mutation test algorithm" can detect multiple mutation points.

[0071] It can be seen that the circuit breaker abnormal early warning method provided in the embodiment has simple structure and good performance, can still maintain high operation speed and fast response capability under low calculation power, that is, the goal of low cost and high return can be achieved.

[0072] Next, a circuit breaker abnormal early warning system provided by an embodiment of the present application is introduced. The circuit breaker abnormal early warning system described below can be correspondingly referred to the circuit breaker abnormal early warning method described above.

[0073] The present application also provides a circuit breaker abnormal early warning system, comprising:

[0074] A data acquisition module is configured to acquire real-time characteristic parameter data containing the operating state of the circuit breaker.

[0075] A data preprocessing module is configured to perform data processing on the real-time characteristic parameter data to obtain a corresponding time series.

[0076] a time series construction module configured to construct the time series to obtain a time point rank sequence;

[0077] a mutation analysis module configured to perform mutation analysis on the feature parameter data in the time point rank sequence to obtain a mutation analysis result;

[0078] a state judgment module configured to determine a current operating state of the circuit breaker according to the mutation analysis result.

[0079] Based on the above embodiment, as a preferred embodiment, the mutation analysis module is a module configured to perform mutation analysis on the feature parameter data in the rank sequence by using a Mann-Kendall mutation test method to obtain a mutation analysis result.

[0080] Based on the above embodiment, as a preferred embodiment, the mutation analysis module comprises:

[0081] a data reading unit configured to read a feature parameter database to obtain data obtained at each time point;

[0082] a formula fusion unit configured to fuse a Pettitt mutation analysis formula and a Mann-Kendall mutation test formula to obtain a fusion formula;

[0083] a test unit configured to test a statistical variable of the feature parameter data by using the fusion formula and calculate a standard normal statistical variable according to the statistical variable; wherein, if the standard normal statistical variable is a positive value, the rank sequence gradually increases over time; if the standard normal statistical variable is a negative value, the rank sequence gradually decreases over time; and if the standard normal statistical variable has an abnormal change, it indicates that an alternating point of the rank sequence has a mutation.

[0084] Based on the above embodiment, as a preferred embodiment, the data acquisition module is a module configured to acquire real-time feature parameter data containing the operating state of the circuit breaker by using a sensor arranged in the circuit breaker.

[0085] Based on the above embodiment, as a preferred embodiment, the method further comprises:

[0086] an alarm module configured to generate maintenance information containing the abnormal state and perform an alarm based on the maintenance information.

[0087] The application further provides a computer readable storage medium, which has a computer program stored thereon, and the computer program can implement the steps provided by the above embodiments when executed. The storage medium can include a U disk, a mobile hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and various media that can store program codes.

[0088] The application further provides an electronic device, which can include a memory and a processor, the memory has a computer program stored therein, and the processor can implement the steps provided by the above embodiments when invoking the computer program in the memory. Of course, the electronic device can further include various network interfaces, power supplies and other components.

[0089] The embodiments in the specification are described in a progressive manner, and each embodiment focuses on the difference from other embodiments. The same or similar parts of each embodiment can be referred to each other. For the system provided by the embodiments, since it corresponds to the method provided by the embodiments, the description is relatively simple, and the related parts can be referred to the method part.

[0090] The principles and implementation manners of the application are described by using specific examples in the present disclosure, and the above embodiment descriptions are only used to help understand the method and core idea of the application. It should be noted that, for those skilled in the art, without departing from the principles of the application, some improvements and modifications can be made to the application, and these improvements and modifications also fall within the protection scope of the claims of the application.

[0091] It should be further noted that, in the present specification, the relationship terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between the entities or operations. Moreover, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device. Without more limitations, the element defined by the statement "including a" does not exclude the presence of another identical element in the process, method, article or device including the element.

Claims

1. A circuit breaker abnormality early warning method characterized by comprising: The method comprises the following steps: obtaining real-time characteristic parameter data containing the operating state of the circuit breaker; performing data processing on the real-time characteristic parameter data to obtain a corresponding time sequence; constructing the time sequence to obtain a time point rank sequence; performing mutation analysis on the characteristic parameter data in the time point rank sequence to obtain a mutation analysis result; determining the current operating state of the circuit breaker according to the mutation analysis result; wherein the mutation analysis on the characteristic parameter data in the rank sequence to obtain the mutation analysis result comprises: performing mutation analysis on the characteristic parameter data in the rank sequence by using a Mann-Kendall mutation test method to obtain a mutation analysis result; wherein the mutation analysis on the characteristic parameter data in the rank sequence by using the Mann-Kendall mutation test method to obtain the mutation analysis result comprises: reading a characteristic parameter database to obtain data obtained at each time point; fusing a Pettitt mutation analysis formula and a Mann-Kendall mutation test formula to obtain a fusion formula; testing a statistical variable of the characteristic parameter data by using the fusion formula, and calculating a standard normal statistical variable according to the statistical variable; wherein if the standard normal statistical variable is positive, the rank sequence gradually increases over time; if the standard normal statistical variable is negative, the rank sequence gradually decreases over time; and if the standard normal statistical variable has an abnormal change, it indicates that the alternating point of the rank sequence has a mutation.

2. The circuit breaker abnormality early warning method according to claim 1, characterized by, The real-time characteristic parameter data includes a gas pressure state quantity and a gas moisture state quantity.

3. The circuit breaker abnormality early warning method according to claim 1, characterized by, The obtaining of the real-time characteristic parameter data containing the operating state of the circuit breaker comprises: obtaining the real-time characteristic parameter data containing the operating state of the circuit breaker by using a sensor arranged in the circuit breaker.

4. The circuit breaker abnormality early warning method according to claim 1, characterized by, If it is determined according to the mutation analysis result that the current operating state of the circuit breaker is an abnormal state, the method further comprises: generating maintenance information containing the abnormal state, and performing an alarm based on the maintenance information.

5. A circuit breaker anomaly early warning system characterized by, The method comprises the following steps: a data acquisition module for obtaining real-time characteristic parameter data containing the operating state of the circuit breaker; a data preprocessing module for performing data processing on the real-time characteristic parameter data to obtain a corresponding time sequence; a time sequence construction module for constructing the time sequence to obtain a time point rank sequence; a mutation analysis module for performing mutation analysis on the characteristic parameter data in the time point rank sequence to obtain a mutation analysis result; a state judgment module for determining the current operating state of the circuit breaker according to the mutation analysis result; wherein the mutation analysis module is a module for performing the following steps: reading a characteristic parameter database to obtain data obtained at each time point; fusing a Pettitt mutation analysis formula and a Mann-Kendall mutation test formula to obtain a fusion formula; The statistical variable of the characteristic parameter data is tested by using the fusion formula, and a standard normal statistical variable is calculated according to the statistical variable; wherein, if the standard normal statistical variable is a positive value, the rank sequence gradually increases with time; if the standard normal statistical variable is a negative value, the rank sequence gradually decreases with time; if the standard normal statistical variable has an abnormal change, it indicates that the alternating point of the rank sequence has a mutation.

6. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by a processor to implement the steps of the circuit breaker abnormality early warning method according to any one of claims 1-4.

7. An electronic device, comprising: A computer program is stored in a memory and executed by a processor to implement the steps of the circuit breaker abnormality early warning method according to any one of claims 1-4.

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