Intelligent monitoring system for circuit breaker characteristics based on opening and closing identification

Abstract

This invention relates to the technical field of circuit breaker analysis, specifically to an intelligent monitoring system for circuit breaker characteristics based on opening and closing identification. The system includes: a current analysis module for analyzing changes in current data of the circuit breaker at various monitoring times to obtain multiple opening and closing current characteristic indices; a temperature analysis module for analyzing changes in contact temperature data of the circuit breaker at various monitoring times to obtain multiple opening and closing temperature characteristic indices; an identification module for identifying at least one first index and at least one second index; a consistency analysis module for analyzing the consistency between the data sequences corresponding to the first index and the data sequences corresponding to the second index to obtain multiple time-related indices; and an opening / closing determination module for determining the monitoring time indicated by the current data corresponding to the largest time-related index as the opening / closing time of the circuit breaker. This invention enables accurate acquisition of the opening and closing time of the circuit breaker.

Description

Technical Field

[0001] This invention relates to the technical field of circuit breaker analysis, and more specifically to an intelligent monitoring system for circuit breaker characteristics based on opening and closing identification. Background Technology

[0002] Circuit breakers are core devices in power systems responsible for interrupting fault currents and controlling circuit connections; their opening and closing characteristics directly determine their operational reliability. Accidents caused by circuit breakers account for over 60% of all incidents, both in terms of frequency and duration.

[0003] If a circuit breaker experiences excessively long opening / closing times or slower-than-expected opening / closing speeds, fault currents may not be interrupted in a timely manner, potentially leading to the burnout of equipment such as transformers. This severely impacts the safe operation of the power system. Therefore, accurate monitoring of the circuit breaker's opening / closing time is necessary to accurately assess its operational reliability and ensure the normal operation of the power system.

[0004] Under load conditions, it is difficult for relevant technologies to accurately obtain the opening and closing time of circuit breakers. The judgment of circuit breaker faults is mostly based on the waveform changes of electrical quantity data before and after the circuit breaker is opened and closed. However, the waveform changes of electrical quantity data will only be reflected after the circuit breaker is opened and closed, which makes the opening and closing time obtained from this analysis have a certain lag.

[0005] In other words, the opening and closing times of circuit breakers collected using existing technology are inaccurate. Summary of the Invention

[0006] The purpose of this invention is to provide an intelligent monitoring system for circuit breaker characteristics based on opening and closing identification, which solves the technical problem of inaccurate circuit breaker opening and closing times collected by existing technologies.

[0007] In a first aspect, one embodiment of the present invention provides an intelligent monitoring system for circuit breaker characteristics based on opening and closing identification, the system comprising:

[0008] The current analysis module is used to analyze the changes in current data of the circuit breaker at various monitoring times and obtain multiple start-stop current characteristic indices, which correspond one-to-one with multiple monitoring times.

[0009] The temperature analysis module is used to analyze the changes in contact temperature data of the circuit breaker at various monitoring times to obtain multiple opening and closing temperature characteristic indices, which correspond one-to-one with the multiple monitoring times.

[0010] The identification module is used to identify at least one first index corresponding to a sudden current change among the plurality of on / off current characteristic indices, and to identify at least one second index corresponding to a sudden temperature change among the plurality of on / off temperature characteristic indices.

[0011] The consistency analysis module is used to perform consistency analysis on the data sequence of current data at any monitoring time corresponding to any first index and the data sequence of contact temperature data at any monitoring time corresponding to any second index, among at least one first index and at least one second index, to obtain multiple time-related indices;

[0012] The start / stop determination module is used to determine the monitoring time indicated by the current data corresponding to the largest time-related index among the multiple time-related indices as the start / stop time of the circuit breaker.

[0013] In some embodiments, the step of analyzing the changes in current data of the circuit breaker at various monitoring times to obtain multiple switching current characteristic indices includes:

[0014] The target current sign value is obtained by analyzing the change sequence of the current data of the circuit breaker at the target monitoring time, wherein the target monitoring time is any one of the plurality of monitoring times;

[0015] The change sequence of current data of the circuit breaker at historical monitoring times is analyzed to obtain the reference current symbol value. The historical monitoring times are the historical times corresponding to the circuit breaker in a continuously closed state or a continuously open state.

[0016] By analyzing the difference between the target current symbol value and the reference current symbol value, the start-up and shut-down current characteristic index corresponding to the target monitoring time is obtained.

[0017] In some embodiments, the analysis of the current data change sequence of the circuit breaker at the target monitoring time to obtain the target current sign value includes:

[0018] Analyze the difference between the first current change value and the second current change value to determine the current change fluctuation intensity value. The first current change value is the change value of the current data of the circuit breaker at the target monitoring time, and the second current change value is the change value of the current data of the circuit breaker at the monitoring time before the target monitoring time.

[0019] Analyze the degree of difference between the current data change sequence and the opening and closing current change sequence of the circuit breaker during the target monitoring period to determine the abnormal value of current change fluctuation. The midpoint of the target monitoring period is the target monitoring time.

[0020] The target current sign value is determined based on the current change fluctuation intensity value and the current change fluctuation anomaly value.

[0021] In some embodiments, the current fluctuation intensity value is positively correlated with the target current sign value, and the current fluctuation anomaly value is negatively correlated with the target current sign value.

[0022] In some embodiments, the reference current sign value is the standard deviation of the change sequence of the current data of the circuit breaker during the historical monitoring period, and the midpoint of the historical monitoring period is the historical monitoring time.

[0023] In some embodiments, analyzing the difference between the target current symbol value and the reference current symbol value to obtain the on / off current characteristic index corresponding to the target monitoring time includes:

[0024] Calculate the ratio of the target current symbol value to the reference current symbol value to obtain the current symbol ratio, wherein the current symbol ratio is greater than 1;

[0025] The start-up and shut-down current characteristic index corresponding to the target monitoring time is determined based on the current symbol ratio, and the start-up and shut-down current characteristic index is positively correlated with the current symbol ratio.

[0026] In some embodiments, the step of obtaining the time-related index includes:

[0027] The similarity index is obtained by analyzing the data sequence of current data at the monitoring time indicated by the first index and the data sequence of contact temperature data at the monitoring time indicated by the second index.

[0028] The time difference index is obtained by analyzing the time difference between the monitoring time indicated by the first index and the monitoring time indicated by the second index.

[0029] Based on the sequence similarity index and the time difference index, the corresponding time correlation index is determined.

[0030] In some embodiments, the step of analyzing the similarity between the data sequence of current data at the monitoring time indicated by the first index and the data sequence of contact temperature data at the monitoring time indicated by the second index, and obtaining the sequence similarity index, includes:

[0031] The dynamic time warping distance between the data sequence of current data at the monitoring time indicated by the first index and the data sequence of contact temperature data at the monitoring time indicated by the second index is determined as the sequence difference index.

[0032] The sequence difference index is normalized to obtain a difference normalization index, which is greater than 0 and less than 1.

[0033] The sequence similarity index is determined based on the difference normalization index, and the sum of the difference normalization index and the sequence similarity index is 1.

[0034] In some embodiments, the sequence similarity index is positively correlated with the corresponding time-related index, and the time difference index is negatively correlated with the corresponding time-related index.

[0035] In some embodiments, the step of determining the corresponding time-related index based on the sequence similarity index and the time difference index includes:

[0036] The time difference index is normalized to obtain the time normalized index;

[0037] The ratio of the sequence similarity index to the time normalization index is determined as the corresponding time-related index.

[0038] Secondly, another embodiment of the present invention provides a method for intelligent monitoring of circuit breaker characteristics based on opening and closing identification, the method comprising:

[0039] The changes in current data of the circuit breaker at various monitoring times are analyzed to obtain multiple start-stop current characteristic indices, which correspond one-to-one with multiple monitoring times.

[0040] The changes in contact temperature data of the circuit breaker at various monitoring times are analyzed to obtain multiple opening and closing temperature characteristic indices, which correspond one-to-one with the multiple monitoring times.

[0041] Identify at least one first index corresponding to a sudden current change among the plurality of on / off current characteristic indices, and identify at least one second index corresponding to a sudden temperature change among the plurality of on / off temperature characteristic indices.

[0042] Among at least one first index and at least one second index, a consistency analysis is performed on the data sequence of current data at the monitoring time corresponding to any first index and the data sequence of contact temperature data at the monitoring time corresponding to any second index to obtain multiple time-related indices.

[0043] Among the multiple time-related indices, the monitoring time indicated by the current data corresponding to the largest time-related index is determined as the opening and closing time of the circuit breaker.

[0044] Thirdly, in another embodiment of the present invention, an electronic device is provided, including a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the method described in the second aspect above.

[0045] Fourthly, in another embodiment of the present invention, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, implements the steps of the method described in the second aspect above.

[0046] The present invention has the following beneficial effects:

[0047] By analyzing the current and contact temperature changes of the circuit breaker at various monitoring moments, the indices of the circuit breaker's opening and closing current and temperature are determined at each monitoring moment. Since instantaneous current and temperature changes are highly correlated with the instantaneous opening and closing operation of the circuit breaker, they can be used to accurately reflect the instantaneous opening and closing status of the circuit breaker, avoiding the lag problem caused by waveform analysis in related technologies. Based on this, the indices of the opening and closing current and temperature corresponding to sudden changes are identified. This allows for the identification of monitoring moments suspected to correspond to the instantaneous opening and closing state of the circuit breaker from multiple monitoring moments. Consistency checks are performed on the monitoring moments identified by current and temperature to determine the time correlation index, i.e., to determine the consistency between the sudden current change moment and the sudden temperature change moment. Finally, the current change moment indicated by the highest time correlation index is determined as the opening and closing moment of the circuit breaker. This effectively avoids the influence of external interference, achieves accurate acquisition of the circuit breaker's opening and closing time, and thus ensures accurate subsequent judgment of the circuit breaker's opening and closing performance. Attached Figure Description

[0048] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0049] Figure 1 This is a schematic diagram of the structure of an intelligent monitoring system for circuit breaker characteristics based on opening and closing identification provided in an embodiment of the present invention;

[0050] Figure 2 This is a flowchart illustrating an intelligent monitoring method for circuit breaker characteristics based on opening and closing identification provided in an embodiment of the present invention.

[0051] Figure 3 This is a schematic diagram of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0052] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of the intelligent monitoring system for circuit breaker characteristics based on opening and closing identification proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0053] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0054] The specific solution of the intelligent monitoring system for circuit breaker characteristics based on opening and closing identification provided by the present invention will be described in detail below with reference to the accompanying drawings.

[0055] This invention proposes an intelligent monitoring system for circuit breaker characteristics based on opening and closing identification. Please refer to [link / reference]. Figure 1 The diagram illustrates a schematic of a circuit breaker characteristic intelligent monitoring system 100 based on opening and closing identification according to an embodiment of the present invention. The system 100 includes:

[0056] The current analysis module 101 is used to analyze the changes in current data of the circuit breaker at various monitoring times to obtain multiple start-stop current characteristic indices, which correspond one-to-one with multiple monitoring times.

[0057] The temperature analysis module 102 is used to analyze the changes in contact temperature data of the circuit breaker at various monitoring times to obtain multiple opening and closing temperature characteristic indices, which correspond one-to-one with the multiple monitoring times.

[0058] The identification module 103 is used to identify at least one first index corresponding to a sudden current change in the plurality of on / off current characteristic indices, and to identify at least one second index corresponding to a sudden temperature change in the plurality of on / off temperature characteristic indices.

[0059] The consistency analysis module 104 is used to perform consistency analysis on the data sequence of current data at any monitoring time corresponding to any first index and the data sequence of contact temperature data at any monitoring time corresponding to any second index, among at least one first index and at least one second index, to obtain multiple time-related indices.

[0060] The start / stop determination module 105 is used to determine the monitoring time indicated by the current data corresponding to the largest time-related index among the plurality of time-related indices as the start / stop time of the circuit breaker.

[0061] In this invention, the current and contact temperature of the circuit breaker can be monitored in real time. In this case, the above-mentioned multiple monitoring times can be understood as: multiple times to be analyzed during the above-mentioned real-time monitoring process (the time interval between adjacent times can be set to 50 microseconds or 100 microseconds based on experience).

[0062] In applications, real-time monitoring can be performed only during the circuit breaker's opening and closing time period to reduce energy consumption from data acquisition and analysis. The circuit breaker's opening and closing time period is defined as the time from when the circuit breaker receives the opening and closing command or triggers the opening and closing condition until the circuit breaker completes the corresponding opening and closing action (e.g., determining whether the circuit breaker has completed an opening and closing action through image recognition).

[0063] In this invention, the contacts of the circuit breaker are specifically conductive contact components inside the circuit breaker used for connecting, carrying, and breaking current.

[0064] In this invention, real-time monitoring of current is accomplished using a current sensor, and real-time monitoring of contact temperature is accomplished using a passive wireless temperature sensor.

[0065] The aforementioned start-stop current characteristic index is used to indicate the degree to which the current change at a corresponding moment matches the current change of the circuit breaker at the instant of opening or closing. The larger the start-stop current characteristic index, the greater the probability that the corresponding moment is the start-stop moment of the circuit breaker.

[0066] The aforementioned opening and closing temperature characteristic index is used to indicate the degree to which the contact temperature change at a corresponding moment matches the contact temperature change of the circuit breaker at the instant of opening or closing. The larger the opening and closing temperature characteristic index, the greater the probability that the corresponding moment is the opening or closing moment of the circuit breaker.

[0067] For example, the plurality of on / off current characteristic indices and the plurality of on / off temperature characteristic indices can be processed by abrupt change point detection to identify at least one first index and at least one second index (i.e., abrupt change point).

[0068] Alternatively, the first index (greater than the current characteristic index threshold) and the second index (greater than the temperature characteristic index threshold) can be identified using pre-configured current characteristic index thresholds and temperature characteristic index thresholds, respectively. The current characteristic index threshold can be obtained by first acquiring the opening and closing current characteristic indices of the circuit breaker at several moments in the open or closed state, calculating the average value of these indices, and then multiplying this average value by a preset amplification factor to determine the current characteristic index threshold. The amplification factor is greater than 1, and based on experience, it can be set to 2 or 3. The method for obtaining the temperature characteristic index threshold is similar to that for the current characteristic index threshold, and will not be described further to avoid repetition.

[0069] In this invention, if the number of at least one first index is set to m and the number of at least one second index is set to n, then the number of related indices at multiple times is m×n.

[0070] It should be noted that, in addition to the sudden opening and closing of the circuit breaker causing a sudden change in current, other factors (such as circuit breaker malfunction or external noise interference) may also cause a sudden change in current. That is, relying solely on the change in current to identify the instant of circuit breaker opening or closing is unreliable. At the instant of circuit breaker opening or closing, the contacts begin to separate or close, and the moving resistance of the opening core changes suddenly, causing the contact area of ​​the contacts to change suddenly. The contact resistance will also change suddenly, which will cause the temperature of the contacts to change abruptly. The change in contact temperature is usually mainly caused by the opening and closing operation of the circuit breaker and is less affected by external interference. Therefore, by introducing the analysis of contact temperature change, the analysis results of current change can be combined to output a more reliable judgment result of the instant of circuit breaker opening or closing.

[0071] It should be noted that because the sensors for collecting current data and those for collecting contact temperature data are different, there will be a discrepancy between the sudden current change time obtained from current analysis (i.e., the monitoring time indicated by the first index) and the sudden temperature change time obtained from temperature analysis (i.e., the monitoring time indicated by the second index). However, for actual opening and closing operations, both the current and temperature of the circuit breaker will experience short-term and drastic changes during the opening and closing process. Based on this, the present invention performs consistency analysis on the sudden current change time and the sudden temperature change time to minimize external noise interference. By utilizing the degree of consistency between different sudden current change times and sudden temperature change times, the monitoring time corresponding to the actual opening and closing operation can be identified as accurately as possible, ensuring the accuracy of the finally identified opening and closing time.

[0072] Since the change in current is more sensitive to changes in temperature than changes in the opening and closing of a circuit breaker, this invention determines a set of sudden current change times and sudden temperature change times through the aforementioned consistency analysis, and then selects the sudden current change times in that set as the opening and closing times to further improve the accuracy of the determined opening and closing times.

[0073] In summary, this invention analyzes the current and contact temperature changes of a circuit breaker at various monitoring moments to determine the circuit breaker's opening and closing current characteristic index and opening and closing temperature characteristic index at each monitoring moment. Since instantaneous current and temperature changes are highly correlated with the instantaneous opening and closing operation of the circuit breaker, they can be used to accurately reflect the instantaneous opening and closing status of the circuit breaker, avoiding the lag problem caused by waveform analysis in related technologies. Based on this, the opening and closing current characteristic index and opening and closing temperature characteristic index corresponding to sudden changes are identified. This allows for the identification of monitoring moments suspected to correspond to the instantaneous opening and closing state of the circuit breaker from multiple monitoring moments. Consistency detection is performed between monitoring moments identified by current and monitoring moments identified by temperature to determine the time correlation index, i.e., to determine the consistency between the current sudden change moment and the temperature sudden change moment. Finally, the current sudden change moment indicated by the highest time correlation index is determined as the circuit breaker's opening and closing moment. This effectively avoids the influence of external interference, achieves accurate acquisition of the circuit breaker's opening and closing time, and thus ensures accurate subsequent judgment of the circuit breaker's opening and closing performance.

[0074] In applications, after determining the opening and closing time of the circuit breaker, the time difference between the opening and closing time of the circuit breaker and the triggering or receiving time of the corresponding opening and closing command can be calculated. Based on the time difference, the response time of the circuit breaker to the opening and closing command can be determined, and then the operational reliability of the circuit breaker can be evaluated based on the response time.

[0075] For example, a time threshold can be preset (e.g., based on experience, the time threshold can be set to 0.05 seconds or 0.1 seconds), and the actual response time of the circuit breaker can be compared with the time threshold. If the actual response time of the circuit breaker is greater than the time threshold, a risk warning message for the circuit breaker can be output to promptly remind relevant maintenance personnel to inspect and maintain the circuit breaker (if the actual response time of the circuit breaker is less than or equal to the time threshold, no action is taken).

[0076] In some embodiments, the step of analyzing the changes in current data of the circuit breaker at various monitoring times to obtain multiple switching current characteristic indices includes:

[0077] The target current sign value is obtained by analyzing the change sequence of the current data of the circuit breaker at the target monitoring time, wherein the target monitoring time is any one of the plurality of monitoring times;

[0078] The change sequence of current data of the circuit breaker at historical monitoring times is analyzed to obtain the reference current symbol value. The historical monitoring times are the historical times corresponding to the circuit breaker in a continuously closed state or a continuously open state.

[0079] By analyzing the difference between the target current symbol value and the reference current symbol value, the start-up and shut-down current characteristic index corresponding to the target monitoring time is obtained.

[0080] In this embodiment, by analyzing the change sequence of current data at the target monitoring time and the change sequence of current data at historical monitoring times, and using the change sequence of current data of the circuit breaker in a continuously closed or continuously open state as a data benchmark, the opening and closing current characteristic index at the corresponding time is determined. This can adapt to the actual current change of the circuit breaker, avoid the error introduced by manually setting thresholds, and make the determined opening and closing current characteristic index more accurate and reliable.

[0081] It should be noted that when the opening and closing time of the circuit breaker is specifically the closing time of the circuit breaker, the historical monitoring time is the historical time corresponding to the circuit breaker in the continuously open state; while when the opening and closing time of the circuit breaker is specifically the opening time of the circuit breaker, the historical monitoring time is the historical time corresponding to the circuit breaker in the continuously closed state.

[0082] Specifically, the analysis of the current data change sequence of the circuit breaker at the target monitoring time to obtain the target current sign value includes:

[0083] Analyze the difference between the first current change value and the second current change value to determine the current change fluctuation intensity value. The first current change value is the change value of the current data of the circuit breaker at the target monitoring time, and the second current change value is the change value of the current data of the circuit breaker at the monitoring time before the target monitoring time.

[0084] Analyze the degree of difference between the current data change sequence and the opening and closing current change sequence of the circuit breaker during the target monitoring period to determine the abnormal value of current change fluctuation. The midpoint of the target monitoring period is the target monitoring time.

[0085] The target current sign value is determined based on the current change fluctuation intensity value and the current change fluctuation anomaly value.

[0086] The current fluctuation intensity value is positively correlated with the target current sign value, and the current fluctuation anomaly value is negatively correlated with the target current sign value.

[0087] Based on the above settings, the intensity of the current surge at each monitoring moment is assessed by analyzing the difference in current change values ​​between each monitoring moment and the previous monitoring moment. Then, the similarity between the current change sequence of the circuit breaker during the target monitoring period and the opening and closing current change sequence is analyzed to assess the data authenticity of the current surge at each monitoring moment. This suppresses the situation where monitoring moments with corresponding noise interference are included in the current surge moment. Combining both methods can make the determined target current sign value more accurate and reliable.

[0088] In this invention, the change in current data is specifically defined as the ratio of the current difference of the circuit breaker at the corresponding monitoring time to the standard current value of the circuit breaker. The current difference at each monitoring time is the absolute difference between the current value at the corresponding monitoring time and the current value at the previous monitoring time. The standard current value is the average of multiple current values ​​collected by the circuit breaker in a continuously closed state.

[0089] The current data change sequence is specifically formed by arranging multiple current values ​​of the circuit breaker in the corresponding monitoring period from early to late according to the acquisition time.

[0090] The sequence of changes in the opening and closing current is specifically formed by arranging multiple current values ​​of the circuit breaker during the opening and closing period in ascending order of acquisition time. The opening and closing period and the monitoring period are of the same length, with the opening and closing period indicating either the closing process or the opening process of the circuit breaker.

[0091] In practice, based on experience, the duration of the above monitoring period can be set to 500 microseconds.

[0092] In one example, a laser transceiver component can be set up, and the laser emission path of the laser transceiver component can be set to be perpendicular to the opening and closing movement stroke of the circuit breaker. When the circuit breaker performs the opening and closing operation, the moment when the laser transceiver component first detects the obstruction of laser transmission is determined as the reference moment, and the aforementioned opening and closing period is constructed with the reference moment as the midpoint of time.

[0093] Anomalies in current fluctuations can be defined as the dynamic time warping (DTW) distance between the current data change sequence of the circuit breaker during the target monitoring period and the opening and closing current change sequence.

[0094] For example, the target current symbol value It can be represented as:

[0095]

[0096] in, This represents a normalization function (such as maximum normalization, maximum-minimum normalization, etc.). This represents the intensity of the current fluctuation at the moment the target is monitored. This indicates abnormal values ​​in the current fluctuation at the target monitoring time.

[0097] It should be noted that the normalized values ​​in this invention are all in the range of 0-1.

[0098] Specifically, the reference current symbol value is the standard deviation of the current data change sequence of the circuit breaker during the historical monitoring period, and the midpoint of the historical monitoring period is the historical monitoring time.

[0099] Further, the step of analyzing the difference between the target current symbol value and the reference current symbol value to obtain the on / off current characteristic index corresponding to the target monitoring time includes:

[0100] Calculate the ratio of the target current symbol value to the reference current symbol value to obtain the current symbol ratio, wherein the current symbol ratio is greater than 1;

[0101] The start-up and shut-down current characteristic index corresponding to the target monitoring time is determined based on the current symbol ratio, and the start-up and shut-down current characteristic index is positively correlated with the current symbol ratio.

[0102] In the above setup, by calculating the ratio of the target current symbol value to the reference current symbol value, the degree of deviation of the current change at the corresponding monitoring time from the current change of the circuit breaker in a continuously closed or continuously open state is evaluated. Combined with the reliability of the current change at the corresponding monitoring time, the probability of the circuit breaker performing opening and closing operations based on the current change is accurately quantified.

[0103] For example, the on / off current characteristic index corresponding to the target monitoring time It can be represented as:

[0104]

[0105] in, This indicates the symbolic value of the aforementioned reference current.

[0106] In some embodiments, the step of analyzing the changes in contact temperature data of the circuit breaker at various monitoring times to obtain multiple opening and closing temperature characteristic indices includes:

[0107] Analyze the change sequence of contact temperature data of the circuit breaker at the target monitoring time to obtain the target temperature symbol value, wherein the target monitoring time is any one of the plurality of monitoring times;

[0108] Analyze the change sequence of contact temperature data of the circuit breaker at historical monitoring times to obtain reference temperature symbol values. The historical monitoring times are the historical times corresponding to the circuit breaker in a continuously closed or continuously open state.

[0109] By analyzing the difference between the target temperature symbol value and the reference temperature symbol value, the opening and closing temperature characteristic index corresponding to the target monitoring time is obtained.

[0110] Further, the step of analyzing the change sequence of contact temperature data of the circuit breaker at the target monitoring time to obtain the target temperature symbol value includes:

[0111] Analyze the difference between the first temperature change value and the second temperature change value to determine the intensity of temperature change fluctuation. The first temperature change value is the change value of the contact temperature data of the circuit breaker at the target monitoring time, and the second temperature change value is the change value of the contact temperature data of the circuit breaker at the monitoring time before the target monitoring time.

[0112] Analyze the degree of difference between the change sequence of contact temperature data of the circuit breaker and the change sequence of opening and closing temperature during the target monitoring period, and determine the abnormal value of temperature change fluctuation. The midpoint of the target monitoring period is the target monitoring time.

[0113] The target temperature symbol value is determined based on the intensity value of the temperature change fluctuation and the abnormal value of the temperature change fluctuation.

[0114] The temperature change fluctuation intensity value is positively correlated with the target temperature symbol value, and the abnormal temperature change fluctuation value is negatively correlated with the target temperature symbol value.

[0115] Furthermore, the reference temperature symbol value is the standard deviation of the change sequence of the contact temperature data of the circuit breaker during the historical monitoring period, and the midpoint of the historical monitoring period is the historical monitoring time.

[0116] Furthermore, the step of analyzing the difference between the target temperature symbol value and the reference temperature symbol value to obtain the opening / closing temperature characteristic index corresponding to the target monitoring time includes:

[0117] Calculate the ratio of the target temperature symbol value to the reference temperature symbol value to obtain the temperature symbol ratio, wherein the temperature symbol ratio is greater than 1;

[0118] The opening and closing temperature characteristic index corresponding to the target monitoring time is determined based on the temperature symbol ratio, and the opening and closing temperature characteristic index is positively correlated with the temperature symbol ratio.

[0119] The calculation process for the above-mentioned on / off temperature characteristic index is similar to that for the calculation process for the on / off current characteristic index, and will not be repeated here to avoid repetition.

[0120] For example, the target temperature symbol value It can be represented as:

[0121]

[0122] in, This represents the intensity of temperature fluctuation at the time the target is being monitored. This indicates abnormal values ​​in temperature fluctuations at the time the target is being monitored.

[0123] Correspondingly, the opening and closing temperature characteristic index at the target monitoring time It can be represented as:

[0124]

[0125] in, This indicates the aforementioned reference temperature symbol value.

[0126] In some embodiments, the step of obtaining the time-related index includes:

[0127] The similarity index is obtained by analyzing the data sequence of current data at the monitoring time indicated by the first index and the data sequence of contact temperature data at the monitoring time indicated by the second index.

[0128] The time difference index is obtained by analyzing the time difference between the monitoring time indicated by the first index and the monitoring time indicated by the second index.

[0129] Based on the sequence similarity index and the time difference index, the corresponding time correlation index is determined.

[0130] The data sequence of current data at the monitoring time indicated by the first index can be understood as a data sequence consisting of multiple current data within the monitoring period indicated by the first index, wherein the monitoring time indicated by the first index (the time length can be set to 1000 microseconds based on experience) takes the corresponding monitoring time indicated by the first index as the midpoint of time.

[0131] The data sequence of contact temperature data at the monitoring time indicated by the second index can be understood as: a data sequence consisting of multiple contact temperature data within the monitoring period indicated by the second index, wherein the monitoring time indicated by the second index takes the corresponding monitoring time indicated by the second index as the midpoint of time, and the time length of the monitoring time indicated by the first index is consistent with the time length of the monitoring time indicated by the second index.

[0132] In the above settings, the analysis is performed on two aspects: the similarity between different data sequences corresponding to the sudden change in current and the sudden change in temperature, and the time difference between the two. This reduces the impact of noise interference and accurately assesses the consistency between the first moment obtained based on the current change analysis and the second moment obtained based on the temperature change analysis, thereby ensuring the accuracy of the calculated time correlation index.

[0133] Further, the step of analyzing the similarity between the data sequence of current data at the monitoring time indicated by the first index and the data sequence of contact temperature data at the monitoring time indicated by the second index, to obtain the sequence similarity index, includes:

[0134] The dynamic time warping distance between the data sequence of current data at the monitoring time indicated by the first index and the data sequence of contact temperature data at the monitoring time indicated by the second index is determined as the sequence difference index.

[0135] The sequence difference index is normalized to obtain a difference normalization index, which is greater than 0 and less than 1.

[0136] The sequence similarity index is determined based on the difference normalization index, and the sum of the difference normalization index and the sequence similarity index is 1.

[0137] It should be noted that before calculating the dynamic time-normalized distance between the data sequence of current data at the monitoring time indicated by the first index and the data sequence of contact temperature data at the monitoring time indicated by the second index, it is necessary to normalize the data sequence of current data at the monitoring time indicated by the first index and the data sequence of contact temperature data at the monitoring time indicated by the second index to eliminate the difference in their dimensions, thereby ensuring the accuracy of the calculated sequence difference index.

[0138] For example, sequence similarity index It can be represented as:

[0139]

[0140] in, This represents the dynamic time warping distance between the data sequence of current data at the monitoring time indicated by the first index and the data sequence of contact temperature data at the monitoring time indicated by the second index. This represents the data sequence of current data at the monitoring time indicated by the corresponding first index. This represents the data sequence of contact temperature data corresponding to the monitoring time indicated by the second index. This represents the corresponding difference normalization index.

[0141] Furthermore, the sequence similarity index is positively correlated with the corresponding time-related index, and the time difference index is negatively correlated with the corresponding time-related index.

[0142] The step of determining the corresponding time correlation index based on the sequence similarity index and the time difference index includes:

[0143] The time difference index is normalized to obtain the time normalized index;

[0144] The ratio of the sequence similarity index to the time normalization index is determined as the corresponding time-related index.

[0145] In the above settings, normalization is used to eliminate the dimensional differences between the time dimension and the sequence difference dimension, ensuring the accuracy of the calculated time-related index.

[0146] For example, time-related index It can be represented as:

[0147]

[0148] in, This represents the corresponding time difference index. This represents the corresponding time normalization index. This represents an exponential function with the natural constant e as its base.

[0149] It should be noted that the system provided in the above embodiments is only an example of the division of the above functional modules. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the computer device can be divided into different functional modules to complete all or part of the functions described above.

[0150] This invention also proposes an intelligent monitoring method for circuit breaker characteristics based on opening and closing identification. Please refer to [link to relevant documentation]. Figure 2 The diagram illustrates a flowchart of an intelligent monitoring method for circuit breaker characteristics based on opening and closing identification, according to an embodiment of the present invention. The method includes:

[0151] Step S1: Analyze the changes in current data of the circuit breaker at various monitoring times to obtain multiple opening and closing current characteristic indices.

[0152] The multiple start-stop current characteristic indices correspond one-to-one with multiple monitoring times.

[0153] Step S2: Analyze the changes in contact temperature data of the circuit breaker at various monitoring times to obtain multiple opening and closing temperature characteristic indices.

[0154] The multiple opening and closing temperature characteristic indices correspond one-to-one with the multiple monitoring times.

[0155] Step S3: Identify at least one first index corresponding to a sudden current change in the plurality of on / off current characteristic indices, and identify at least one second index corresponding to a sudden temperature change in the plurality of on / off temperature characteristic indices.

[0156] Step S4: Among at least one first index and at least one second index, perform consistency analysis on the data sequence of current data at the monitoring time corresponding to any first index and the data sequence of contact temperature data at the monitoring time corresponding to any second index to obtain multiple time-related indices.

[0157] Step S5: Among the multiple time-related indices, the monitoring time indicated by the current data corresponding to the largest time-related index is determined as the opening and closing time of the circuit breaker.

[0158] The above embodiments of the intelligent monitoring method for circuit breaker characteristics based on opening and closing identification and the intelligent monitoring system for circuit breaker characteristics based on opening and closing identification belong to the same concept. The specific implementation process is detailed in the system embodiment and will not be repeated here.

[0159] This invention also provides an electronic device. Please refer to [link to relevant documentation]. Figure 3 The electronic device may include a processor 301, a memory 302, and a program 3021 stored in the memory 302 and capable of running on the processor 301.

[0160] When program 3021 is executed by processor 301, it can achieve the following: Figure 1 Any steps in the corresponding method embodiments and the achievement of the same beneficial effects will not be repeated here.

[0161] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by hardware related to program instructions, and the program can be stored in a readable medium.

[0162] This invention also provides a readable storage medium storing a computer program, which, when executed by a processor, can perform the above-described functions. Figure 1 Any step in the corresponding method embodiment can achieve the same technical effect, and will not be repeated here to avoid repetition.

[0163] The computer-readable storage medium of this invention can be any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. For example, a computer-readable storage medium can be an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0164] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, capable of sending, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.

[0165] The program code contained on the storage medium can be transmitted using any suitable medium, including but not limited to wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0166] Computer program code for performing the operations of this invention can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as "C" or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or terminal. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0167] This invention also provides a computer program product that, when run on a computer, causes the computer to perform the aforementioned steps to realize the circuit breaker characteristic intelligent monitoring system based on opening and closing identification provided in the above embodiments.

[0168] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0169] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A circuit breaker characteristic intelligent monitoring system based on opening and closing identification, characterized in that, The system includes: The current analysis module is used to analyze the changes in current data of the circuit breaker at various monitoring times and obtain multiple start-stop current characteristic indices, which correspond one-to-one with multiple monitoring times. The temperature analysis module is used to analyze the changes in contact temperature data of the circuit breaker at various monitoring times to obtain multiple opening and closing temperature characteristic indices, which correspond one-to-one with the multiple monitoring times. The identification module is used to identify at least one first index corresponding to a sudden current change among the plurality of on / off current characteristic indices, and to identify at least one second index corresponding to a sudden temperature change among the plurality of on / off temperature characteristic indices. The consistency analysis module is used to perform consistency analysis on the data sequence of current data at any monitoring time corresponding to any first index and the data sequence of contact temperature data at any monitoring time corresponding to any second index, among at least one first index and at least one second index, to obtain multiple time-related indices; The start / stop determination module is used to determine the monitoring time indicated by the current data corresponding to the largest time-related index among the multiple time-related indices as the start / stop time of the circuit breaker.

2. The intelligent monitoring system for circuit breaker characteristics based on opening and closing identification according to claim 1, characterized in that, The step of analyzing the changes in current data of the circuit breaker at various monitoring times to obtain multiple switching current characteristic indices includes: The target current sign value is obtained by analyzing the change sequence of the current data of the circuit breaker at the target monitoring time, wherein the target monitoring time is any one of the plurality of monitoring times; The change sequence of current data of the circuit breaker at historical monitoring times is analyzed to obtain the reference current symbol value. The historical monitoring times are the historical times corresponding to the circuit breaker in a continuously closed state or a continuously open state. By analyzing the difference between the target current symbol value and the reference current symbol value, the start-up and shut-down current characteristic index corresponding to the target monitoring time is obtained.

3. The intelligent monitoring system for circuit breaker characteristics based on opening and closing identification according to claim 2, characterized in that, The analysis of the circuit breaker's current data change sequence at the target monitoring time yields the target current sign value, including: Analyze the difference between the first current change value and the second current change value to determine the current change fluctuation intensity value. The first current change value is the change value of the current data of the circuit breaker at the target monitoring time, and the second current change value is the change value of the current data of the circuit breaker at the monitoring time before the target monitoring time. Analyze the degree of difference between the current data change sequence and the opening and closing current change sequence of the circuit breaker during the target monitoring period to determine the abnormal value of current change fluctuation. The midpoint of the target monitoring period is the target monitoring time. The target current sign value is determined based on the current change fluctuation intensity value and the current change fluctuation anomaly value.

4. The intelligent monitoring system for circuit breaker characteristics based on opening and closing identification according to claim 3, characterized in that, The intensity of the current fluctuation is positively correlated with the target current sign value, while the abnormal current fluctuation value is negatively correlated with the target current sign value.

5. The intelligent monitoring system for circuit breaker characteristics based on opening and closing identification according to claim 2, characterized in that, The reference current symbol value is the standard deviation of the current data change sequence of the circuit breaker during the historical monitoring period, and the midpoint of the historical monitoring period is the historical monitoring time.

6. The intelligent monitoring system for circuit breaker characteristics based on opening and closing identification according to claim 2, characterized in that, The analysis of the difference between the target current symbol value and the reference current symbol value yields the on / off current characteristic index corresponding to the target monitoring time, including: Calculate the ratio of the target current symbol value to the reference current symbol value to obtain the current symbol ratio, wherein the current symbol ratio is greater than 1; The start-up and shut-down current characteristic index corresponding to the target monitoring time is determined based on the current symbol ratio, and the start-up and shut-down current characteristic index is positively correlated with the current symbol ratio.

7. The intelligent monitoring system for circuit breaker characteristics based on opening and closing identification according to claim 1, characterized in that, The steps for obtaining the time-related index include: The similarity index is obtained by analyzing the data sequence of current data at the monitoring time indicated by the first index and the data sequence of contact temperature data at the monitoring time indicated by the second index. The time difference index is obtained by analyzing the time difference between the monitoring time indicated by the first index and the monitoring time indicated by the second index. Based on the sequence similarity index and the time difference index, the corresponding time correlation index is determined.

8. The intelligent monitoring system for circuit breaker characteristics based on opening and closing identification according to claim 7, characterized in that, The step of analyzing the similarity between the data sequence of current data at the monitoring time indicated by the first index and the data sequence of contact temperature data at the monitoring time indicated by the second index, and obtaining the sequence similarity index, includes: The dynamic time warping distance between the data sequence of current data at the monitoring time indicated by the first index and the data sequence of contact temperature data at the monitoring time indicated by the second index is determined as the sequence difference index. The sequence difference index is normalized to obtain a difference normalization index, which is greater than 0 and less than 1. The sequence similarity index is determined based on the difference normalization index, and the sum of the difference normalization index and the sequence similarity index is 1.

9. The intelligent monitoring system for circuit breaker characteristics based on opening and closing identification according to claim 7, characterized in that, The sequence similarity index is positively correlated with the corresponding time-related index, and the time difference index is negatively correlated with the corresponding time-related index.

10. The intelligent monitoring system for circuit breaker characteristics based on opening and closing identification according to claim 9, characterized in that, The step of determining the corresponding time correlation index based on the sequence similarity index and the time difference index includes: The time difference index is normalized to obtain the time normalized index; The ratio of the sequence similarity index to the time normalization index is determined as the corresponding time-related index.

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