Primary and secondary fusion complete column-mounted circuit breaker detection system

Abstract

The invention relates to the field of power equipment, aims to solve the problems of untimely detection, low efficiency and low precision caused by the fact that an existing circuit breaker detection means depends on manpower and is single in means, and particularly relates to a primary and secondary fusion complete column-mounted circuit breaker detection system. Comprising an information acquisition module, a multi-dimensional situation awareness module, a diagnosis prediction module, an equipment comprehensive evaluation module and a maintenance optimization module. Through multiple autonomous detection mechanisms of data acquisition, feature extraction, state evaluation, fault diagnosis and decision output, the intelligent operation of the whole process from data acquisition processing, quantitative evaluation analysis and fault early warning output is ensured, the defect of low detection efficiency caused by manual monitoring is avoided, the detection efficiency is improved, and in addition, the detection accuracy is improved. When the circuit breaker is detected, multi-source data acquisition is carried out under each dimension through two dimensions of mechanical characteristics and electrical characteristics, so that the data comprehensiveness is ensured, and the detection coverage is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of power equipment, in particular to a primary and secondary integrated complete set of pole-mounted circuit breaker detection system. BACKGROUND

[0002] The pole-mounted circuit breaker refers to the circuit breaker installed and operated on the electric pole, and the primary and secondary integrated complete set of pole-mounted circuit breaker is specifically a smart power equipment integrating primary equipment and secondary equipment, such as high-voltage switch equipment (primary) and control and protection equipment (secondary), which has the characteristics of high reliability, integration level and intelligence level, can meet the automatic control and fault handling of distribution network, and has been widely used in power systems.

[0003] In the related art, the primary and secondary integrated complete set of pole-mounted circuit breaker includes a circuit breaker shell, a solid-sealed pole, a feeder terminal, a current transformer, a voltage transformer, a control unit, a spring operating mechanism and the like, wherein the solid-sealed pole internally encapsulates a vacuum arc-extinguishing chamber and a conductive terminal. In the prior art, with the development of intelligent technology, the primary and secondary integrated complete set of pole-mounted circuit breaker has remote control, remote measurement and remote signaling functions, and supports centralized and on-site functions of feeder automation systems, but in the prior art, it still relies too much on manual inspection, resulting in delayed detection and inability to monitor the equipment state in real time, and the detection means is single, which makes it difficult to comprehensively evaluate the equipment health status, thereby resulting in delayed detection, low efficiency and low precision of the existing primary and secondary integrated complete set of pole-mounted circuit breaker. In view of the above technical problems, the present application provides a solution. SUMMARY

[0004] The present application realizes the automatic monitoring by the multiple autonomous detection mechanisms of data acquisition, feature extraction, state evaluation, fault diagnosis and decision output, ensures the intelligent and automatic operation of the whole process of data acquisition processing, quantitative evaluation analysis and fault warning output, avoids the low detection efficiency caused by manual monitoring, improves the detection efficiency, and in addition, when detecting the circuit breaker, the mechanical characteristics and electrical characteristics are used as two dimensions, and multi-source data acquisition is performed for each dimension, so as to ensure the comprehensiveness of the data, improve the detection coverage, solve the problem of relying on manual detection and single detection means of the existing circuit breaker detection means, and realize the primary and secondary integrated complete set of pole-mounted circuit breaker detection system.

[0005] The object of the present application can be achieved by the following technical solutions: The application discloses a detection system for primary and secondary integrated complete set of circuit breakers on poles, which comprises an information acquisition module, a multi-dimensional situation awareness module, a diagnosis and prediction module, a device comprehensive evaluation module and a maintenance optimization module. After the multi-dimensional situation awareness module obtains the operation parameters, key features are extracted from the original data of the operation parameters, and the extracted key features are sent to the diagnosis and prediction module. After the diagnosis and prediction module obtains the key features, a model is constructed through the key features, and the key features are quantitatively judged according to the model construction result by using a machine learning algorithm to obtain the operation effect of the key nodes of the device. The device comprehensive evaluation module identifies the operation effect of the key nodes of the device, performs weighted evaluation according to the identification result, obtains the abnormal score of the device, and obtains the current state evaluation result of the device according to the abnormal score of the device. The maintenance optimization module generates an optimization strategy according to the current state evaluation result of the device, wherein the optimization strategy comprises an emergency maintenance strategy, a high monitoring strategy and a routine monitoring strategy.

[0006] As a preferred embodiment of the application, the operation parameters of the circuit breaker acquired by the information acquisition module comprise mechanical characteristic parameters and electrical characteristic parameters, wherein the mechanical characteristic parameters comprise opening and closing time, opening and closing speed, contact wear amount and energy storage capacity, and the electrical characteristic parameters comprise breaking current waveform, fault current parameter and routine electrical parameter. The fault current parameter comprises fault current value and duration. When the information acquisition module acquires the operation parameters of the circuit breaker, a time module is built in the sensor of each parameter, and the parameter acquisition time of different sensors is synchronized through multi-source data time through algorithm, the obtained operation parameters are kept synchronism, and the operation parameters at the same time are recorded as a group of data and sent to the multi-dimensional situation awareness module.

[0007] As a preferred embodiment of the application, the step of extracting key features from the operation parameters in the same group of data by the multi-dimensional situation awareness module comprises: S1: The multi-dimensional situation awareness module respectively calculates the ratio of the opening and closing time and the opening and closing speed in the mechanical characteristic parameters to the set ideal time and ideal speed, and performs weight distribution on the ratio calculation result to obtain the opening and closing score. S2: The multi-dimensional situation awareness module compares the contact wear amount with the wear warning value, and if the contact wear amount exceeds the wear warning value, the difference between the contact wear amount and the wear warning value is extracted as the wear evaluation. S3: The multi-dimensional situation awareness module compares the energy storage capacity with the set capacity lower limit, and if the energy storage capacity is less than the set capacity lower limit, the part of the energy storage capacity less than the capacity lower limit is extracted as the energy storage evaluation; S4: The multi-dimensional situation awareness module compares the breaking current waveform in the electrical characteristic parameter with the set waveform to obtain the period information and peak value information in the breaking current waveform; S5: The multi-dimensional situation awareness module integrates the fault current value and duration in the fault current parameter, and takes the integration result as the fault current feature; S6: The multi-dimensional situation awareness module compares the voltage and current in the conventional electrical parameter with the set operating voltage range and operating current range, extracts the conventional electrical parameter exceeding the operating voltage range and operating current range, and obtains the electrical deviation.

[0008] As a preferred embodiment of the present application, the device key node operation effect obtained by the diagnostic prediction module includes structural operation effect and electrical operation effect; The diagnostic prediction module normalizes the closing and opening score, wear evaluation and energy storage evaluation in the key features, and performs weighted average on the normalized processing results to obtain the structural operation effect; The diagnostic prediction module normalizes the period information, peak value information, fault current feature and electrical deviation, and performs weighted average on the normalized data to obtain the electrical operation effect.

[0009] As a preferred embodiment of the present application, the device comprehensive evaluation module obtains the device key node operation effect, and gives different weight values to the structural operation effect and electrical operation effect, and then performs weighted average on the structural operation effect and electrical operation effect to obtain the device abnormal score; The device comprehensive evaluation module compares the device abnormal score with the set gear threshold value, and generates the device current state evaluation result according to the comparison result, wherein the set gear threshold value includes optimal gear R1, medium gear R2 and emergency gear R3.

[0010] As a preferred embodiment of the present application, when the device comprehensive evaluation module compares the device abnormal score with the set gear threshold value, if the device abnormal score is greater than the set emergency gear R3, a device abnormal signal is generated, and if the device abnormal score is less than the set optimal gear R1, a device normal signal is generated; If the device abnormal score is between the emergency gear R3 and the medium gear R2, a device high-risk signal is generated; If the device abnormal score is between the medium gear R2 and the optimal gear R1, a device low-risk signal is generated.

[0011] As a preferred embodiment of the present application, the maintenance optimization module generates a set of maintenance strategies after obtaining the equipment abnormal signal, obtains the structural operation effect and the electrical operation effect through the diagnostic prediction module, compares the structural operation effect and the electrical operation effect with the equipment abnormal score, records the items greater than the equipment abnormal score in the structural operation effect or the electrical operation effect as abnormal items, and sends them through the network.

[0012] As a preferred embodiment of the present application, the maintenance optimization module runs a high-level monitoring strategy when obtaining the equipment high-risk signal and the equipment low-risk signal, and updates the collection frequency of the operating parameters for the circuit breaker, wherein the collection frequency of the high-level monitoring strategy corresponding to the equipment high-risk signal is greater than the collection frequency of the high-level monitoring strategy corresponding to the equipment low-risk signal. The maintenance optimization module runs a routine monitoring strategy when obtaining the equipment normal signal.

[0013] Compared with the prior art, the present application has the following advantages: In the present application, when detecting the primary and secondary integrated complete set of column circuit breakers, automatic monitoring is realized through the sensor matrix and the wireless data transmission system, avoiding the low detection efficiency caused by manual monitoring. At the same time, through the multiple autonomous detection mechanisms of data acquisition, feature extraction, state evaluation, fault diagnosis and decision output, the whole-process intelligentization and automation of data acquisition processing, quantitative evaluation analysis and fault warning output are ensured, the detection efficiency is improved, and in addition, when detecting the circuit breaker, through the two dimensions of mechanical properties and electrical properties, and multi-source data acquisition under each dimension, the comprehensiveness of the data is ensured, and the detection coverage is improved. BRIEF DESCRIPTION OF DRAWINGS

[0014] In order to facilitate the understanding of those skilled in the art, the present application will be further described below in conjunction with the drawings.

[0015] Fig. 1 The system block diagram of the present application is shown in the figure. Fig. 2 The system flowchart of the present application is shown in the figure. DETAILED DESCRIPTION

[0016] The technical solutions of the present application will be described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0017] Embodiment one: Please refer to Figs. 1-2As shown, a primary and secondary integrated on-column circuit breaker detection system includes an information acquisition module, a multi-dimensional situation awareness module, a diagnosis and prediction module, a device comprehensive evaluation module, and a maintenance optimization module. The information acquisition module is used to collect the operating parameters of the circuit breaker in real time and send the operating parameters to the multi-dimensional situation awareness module. The operating parameters collected by the information acquisition module include mechanical characteristic parameters and electrical characteristic parameters. The mechanical characteristic parameters include opening and closing time, opening and closing speed, contact wear amount collected by laser ranging, and energy storage capacity collected by a torque sensor, wherein the energy storage capacity represents the on-pole torque when the circuit breaker is opened. The electrical characteristic parameters include breaking current waveform, fault current parameters, and conventional electrical parameters collected by an integrated current-voltage sensor, wherein the sampling frequency of the breaking current waveform is greater than 100 kHz, and the fault current parameters include fault current value and duration. When the information acquisition module collects the operating parameters of the circuit breaker, the sensor of each parameter is internally provided with a time module, and the parameter collection time of different sensors is synchronized through the synchronization sampling technology based on FPGA. The obtained operating parameters are kept contemporaneous, and the operating parameters at the same time are recorded as a group of data and sent to the multi-dimensional situation awareness module. After the multi-dimensional situation awareness module obtains the operating parameters, key feature extraction is performed on the original data of the operating parameters, and the extracted key features are sent to the diagnosis and prediction module. The step of the multi-dimensional situation awareness module extracting key features from the operating parameters in the same group of data includes: S1: The multi-dimensional situation awareness module respectively calculates the ratio of the opening and closing time and the opening and closing speed in the mechanical characteristic parameters to the set ideal time and ideal speed, wherein Q is the ratio calculation result, V is the opening and closing time or the opening and closing speed in the mechanical characteristic parameters, T is the set opening and closing ideal time or ideal speed, and the ratio calculation result is subjected to weight distribution to obtain the opening and closing score; S2: The multi-dimensional situation awareness module compares the contact wear amount with the wear warning value. If the contact wear amount exceeds the wear warning value, the difference between the contact wear amount and the wear warning value is extracted as the wear evaluation; S3: The multi-dimensional situation awareness module compares the energy storage capacity with the set capacity lower limit. If the energy storage capacity is less than the set capacity lower limit, the part of the energy storage capacity that is less than the capacity lower limit is extracted as the energy storage evaluation; S4: The multi-dimensional situation awareness module compares the breaking current waveform in the electrical characteristic parameters with the set waveform to obtain the cycle information and peak value information in the breaking current waveform; S5: The multi-dimensional situation awareness module integrates the fault current value and duration in the fault current parameters, and the integration result is taken as the fault current feature. S6: The multi-dimensional situation awareness module compares the voltage and current in the conventional electrical parameters with the set operating voltage range and operating current range, extracts the conventional electrical parameters that exceed the operating voltage range and operating current range, and obtains the electrical deviation.

[0018] After obtaining the key features, the diagnostic prediction module constructs a model using the key features, quantitatively evaluates the key features based on the model construction result using a machine learning algorithm, and obtains the equipment key node operation effect. The equipment key node operation effect obtained by the diagnostic prediction module includes structural operation effect and electrical operation effect. The diagnostic prediction module normalizes the closing and opening scores, wear assessment, and energy storage assessment in the key features, and performs weighted averaging on the normalized results to obtain the structural operation effect. The diagnostic prediction module normalizes the cycle information, peak value information, fault current characteristics, and electrical deviation, and performs weighted averaging on the normalized data to obtain the electrical operation effect.

[0019] The equipment comprehensive evaluation module identifies the equipment key node operation effect, assigns different weight values to the structural operation effect and electrical operation effect, and performs weighted averaging on the structural operation effect and electrical operation effect to obtain the equipment abnormal score. The equipment current state evaluation result is obtained based on the equipment abnormal score. The equipment comprehensive evaluation module compares the equipment abnormal score with the set gear threshold, and generates the equipment current state evaluation result based on the comparison result. The set gear threshold includes the optimal gear R1, the medium gear R2, and the emergency gear R3. When the equipment comprehensive evaluation module compares the equipment abnormal score with the set gear threshold, if the equipment abnormal score is greater than the set emergency gear R3, an equipment abnormal signal is generated. If the equipment abnormal score is less than the set optimal gear R1, a normal equipment signal is generated. If the equipment abnormal score is between the emergency gear R3 and the medium gear R2, a high-risk equipment signal is generated. If the equipment abnormal score is between the medium gear R2 and the optimal gear R1, a low-risk equipment signal is generated.

[0020] The maintenance optimization module generates an optimization strategy based on the equipment current state evaluation result. The optimization strategy includes emergency maintenance strategy, high monitoring strategy, and regular monitoring strategy. Specifically: After the maintenance optimization module acquires the equipment abnormal signal, a set of maintenance strategies is generated, and the structural operation effect and the electrical operation effect are acquired through the diagnosis prediction module, the structural operation effect and the electrical operation effect are compared with the equipment abnormal score, the item greater than the equipment abnormal score in the structural operation effect or the electrical operation effect is recorded as an abnormal item, and is sent through the network.

[0021] When the maintenance optimization module acquires the equipment high-risk signal and the equipment low-risk signal, a high degree monitoring strategy is run, and the collection frequency of the operating parameters of the circuit breaker is updated, wherein the collection frequency of the high degree monitoring strategy corresponding to the equipment high-risk signal is greater than the collection frequency of the high degree monitoring strategy corresponding to the equipment low-risk signal. When the maintenance optimization module acquires the equipment normal signal, a routine monitoring strategy is run.

[0022] The preferred embodiments disclosed above are only used to help explain the present application. The preferred embodiments do not describe all the details, nor limit the present application to the specific embodiments. Obviously, many modifications and variations can be made according to the content of the present application. The present application is selected and described in detail, in order to better explain the principles and practical applications of the present application, so that those skilled in the art can well understand and utilize the present application. The present application is limited by the claims and their full scope and equivalents.

Claims

1. A primary and secondary integrated pole-mounted circuit breaker detection system, characterized in that, The circuit breaker includes an information acquisition module, a multi-dimensional situation awareness module, a diagnosis and prediction module, a device comprehensive evaluation module, and a maintenance optimization module. The multi-dimensional situation awareness module extracts key features from the raw data of the operating parameters and sends the extracted key features to the diagnosis and prediction module. The diagnosis and prediction module constructs a model based on the key features, quantitatively evaluates the key features based on the model construction result, and obtains the operating effect of the key nodes of the device. The device comprehensive evaluation module identifies the operating effect of the key nodes of the device, performs weighted evaluation based on the identification result, obtains the abnormal score of the device, and obtains the current state evaluation result of the device based on the abnormal score of the device. The maintenance optimization module generates an optimization strategy based on the current state evaluation result of the device, wherein the optimization strategy includes an emergency maintenance strategy, a high monitoring strategy, and a regular monitoring strategy.

2. The detection system for one and two-phase fused switch disconnector according to claim 1, characterized in that, The operating parameters of the circuit breaker collected by the information acquisition module include mechanical characteristic parameters and electrical characteristic parameters. The fault current parameter includes the fault current value and the duration. The information acquisition module synchronizes the parameter collection time of different sensors through an algorithm based on the multi-source data time, maintains the simultaneity of the obtained operating parameters, and records the operating parameters at the same time as a data group and sends it to the multi-dimensional situation awareness module.

3. The detection system for a one and two family combined circuit breaker according to claim 1, wherein, The multi-dimensional situation awareness module extracts key features from the operating parameters in the same data group, including: S1: The multi-dimensional situation awareness module calculates the ratio of the opening and closing time and the opening and closing speed in the mechanical characteristic parameters to the set ideal time and ideal speed, respectively, and performs weight distribution on the ratio calculation result to obtain the opening and closing score. S2: The multi-dimensional situation awareness module compares the contact wear amount with the wear warning value, and if the contact wear amount exceeds the wear warning value, the difference between the contact wear amount and the wear warning value is extracted as the wear evaluation. S3: The multi-dimensional situation awareness module compares the energy storage capacity with the set lower limit of the capacity, and if the energy storage capacity is less than the set lower limit of the capacity, the part of the energy storage capacity that is less than the lower limit of the capacity is extracted as the energy storage evaluation. S4: The multi-dimensional situation awareness module compares the breaking current waveform in the electrical characteristic parameters with the set waveform to obtain the cycle information and peak value information in the breaking current waveform. S5: The multi-dimensional situation awareness module integrates the fault current value and the duration in the fault current parameter, and takes the integration result as the fault current feature. S6: The multi-dimensional situation awareness module compares the voltage and current in the conventional electrical parameters with the set operating voltage range and operating current range, extracts the conventional electrical parameters that exceed the operating voltage range and operating current range, and obtains the electrical deviation.

4. The detection system for a one and two family combined circuit breaker according to claim 1, wherein, The device key node operation effect obtained by the diagnosis prediction module includes structural operation effect and electrical operation effect; The diagnosis prediction module normalizes the closing and opening scores, wear assessment, and energy storage assessment in the key features, and obtains the structural operation effect by weighted average of the normalized results; The diagnosis prediction module normalizes the cycle information, peak value information, fault current characteristics, and electrical deviation, and obtains the electrical operation effect by weighted average of the normalized data.

5. The detection system for a one and two family combined circuit breaker according to claim 1, wherein, The device comprehensive evaluation module obtains the device key node operation effect, assigns different weight values to the structural operation effect and the electrical operation effect, and obtains the device abnormal score by weighted average of the structural operation effect and the electrical operation effect. The device comprehensive evaluation module compares the device abnormal score with the set gear threshold, and generates the device current state evaluation result according to the comparison result, wherein the set gear threshold includes the optimal gear R1, the medium gear R2, and the emergency gear R3.

6. The detection system for a one and two family combined circuit breaker according to claim 1, wherein, When the device comprehensive evaluation module compares the device abnormal score with the set gear threshold, if the device abnormal score is greater than the set emergency gear R3, a device abnormal signal is generated, and if the device abnormal score is less than the set optimal gear R1, a device normal signal is generated. If the device abnormal score is between the emergency gear R3 and the medium gear R2, a device high-risk signal is generated. If the device abnormal score is between the medium gear R2 and the optimal gear R1, a device low-risk signal is generated.

7. The detection system of primary and secondary fused switch disconnector according to claim 1, characterized in that, The maintenance optimization module generates a set maintenance strategy after obtaining the device abnormal signal, obtains the structural operation effect and the electrical operation effect through the diagnosis prediction module, compares the structural operation effect and the electrical operation effect with the device abnormal score, records the items greater than the device abnormal score in the structural operation effect or the electrical operation effect as abnormal items, and sends them through the network.

8. The detection system for a one and two family combined circuit breaker according to claim 1, wherein, The maintenance optimization module runs a high-level monitoring strategy when obtaining the device high-risk signal and the device low-risk signal, and updates the collection frequency of the operating parameters for the circuit breaker, wherein the collection frequency of the high-level monitoring strategy corresponding to the device high-risk signal is greater than the collection frequency of the high-level monitoring strategy corresponding to the device low-risk signal. The maintenance optimization module runs a regular monitoring strategy when obtaining the device normal signal.

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