Online monitoring method for mechanical life of circuit breaker

Through multi-sensor online monitoring of the mechanical characteristics of the circuit breaker, combined with data model and long-term storage, the problem of low data utilization in the existing technology is solved, high-precision life prediction and fault warning are achieved, and the operation stability of the equipment is improved.

CN120352128APending Publication Date: 2025-07-22JIANGXI MINGZHENG INTELLIGENT ELECTRIC CO LTD
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Patent Information

Application Number
CN202510801134.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-16
Publication Date
2025-07-22

AI Technical Summary

Technical Problem

In the existing online monitoring methods for mechanical characteristics of circuit breakers, the data utilization rate is low, and the accuracy and effectiveness of long-term equipment monitoring and analysis are insufficient, resulting in errors in predictive analysis.

Method used

Multi-sensor fusion technology is adopted to collect the mechanical characteristic data of the circuit breaker in real time, generate original data curves through displacement, speed measurement, and vibration sensors, and compare them with the preset model. Combined with Hall sensors to analyze current waveforms, visual online monitoring and life prediction are achieved, and data storage supports long-term retention.

Benefits of technology

It improves the accuracy of circuit breaker life prediction and early warning capabilities of abnormal states, enhances data utilization, reduces failure rate, and improves the stability of equipment operation.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an online monitoring method for the mechanical life of a circuit breaker, and the method comprises the steps: S1, collecting the mechanical characteristic data of an opening and closing device when the opening and closing device leaves a factory through a displacement sensor, generating original data, and generating original opening and closing single action time and three-phase synchronism data; s2, the maximum speed and the average speed of the contact in the opening and closing process are collected through a speed measurement sensor, and a factory original data curve is generated to serve as comparison calibration. According to the method, data changes of the circuit breaker are collected in multiple directions through multi-sensor fusion and compared with original reference data in real time, real-time state data of the circuit breaker are generated, visualized online monitoring is achieved, the remaining service life of the equipment is calculated and predicted based on a preset model, and the service life of the equipment is predicted. Original data and analysis results of all opening and closing operations are stored and are preserved for a long period, real-time and online data are compared and analyzed, and as the data are continuously enriched, the service life of the circuit breaker is predicted and corrected in real time, and the prediction precision is improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of circuit breaker monitoring, and more specifically, to an online monitoring method for the mechanical life of a circuit breaker. Background Art

[0002] Circuit breakers play an important role in the power system and are of great significance for the stable and safe operation of the power system. Among the mechanical parameters of a circuit breaker, the contact overtravel is an important performance parameter. Too small overtravel indicates serious contact wear, which will lead to poor contact of the circuit breaker contacts and serious contact heating. Too large overtravel will damage the mechanical structure of the contacts.

[0003] In the prior art, the detection of the mechanical characteristics of existing circuit breakers is basically limited to offline detection due to the limitation of the judgment technology of the instant of opening and closing. Offline detection is achieved by adding a small voltage signal to the circuit breaker loop. At the instant of opening and closing, the current in the circuit breaker loop will mutate. According to the current mutation point and combined with a displacement sensor, parameters such as the total stroke, opening distance, and overtravel of the circuit breaker can be detected.

[0004] With the development of technology, there are currently applications of online monitoring devices based on multiple sensors. For example, the online monitoring method and device for the mechanical characteristics of a circuit breaker based on multiple sensors with the application number 201910923536.3.03.05 includes: S1: Measuring the total stroke and operation time of the circuit breaker through a displacement sensor; S2: Collecting the opening and closing acceleration vibration signals of the circuit breaker and obtaining the instant of opening and closing of the circuit breaker to achieve the online monitoring of the total stroke, opening distance, overtravel, average opening speed, and average closing speed of the circuit breaker, and realizing the online automatic identification of the overtravel state of the circuit breaker contacts; S3: Obtaining the instant of opening and closing of the circuit breaker through a pressure sensor to achieve the online monitoring of the total stroke, opening distance, overtravel, average opening speed, and average closing speed of the circuit breaker; and realizing the online automatic identification of the overtravel state of the circuit breaker contacts; S4: According to the online automatic identification results of the overtravel state of the circuit breaker contacts in steps S2 and S3, obtaining the final judgment result of the overtravel state of the circuit breaker contacts. The ultimate goal of the present invention is to achieve the online monitoring of the mechanical characteristics of the circuit breaker.

[0005] However, the current online monitoring method has a low subsequent utilization rate for the collected data. For long-term equipment monitoring and analysis, data collection needs to be carried out separately, resulting in low data utilization rate, and there are still errors in the efficiency and accuracy of predicting and analyzing the working state and service life of the circuit breaker. Summary of the Invention

[0006] Aiming at the problems existing in the prior art, the purpose of the present invention is to provide an online monitoring method for the mechanical life of a circuit breaker.

[0007] To solve the above problems, the present invention adopts the following technical solutions.

[0008] Online monitoring method for mechanical life of circuit breaker, including: S1: Through a displacement sensor, collect the mechanical characteristic data at the time of factory acceptance of opening and closing, generate original data, generate the single-action time of original opening and closing, and three-phase synchronization data; S2: Through a speed sensor, collect the maximum speed and average speed of the contact during opening and closing, and generate an original data curve at the time of factory acceptance as a comparison calibration; S3: Through a vibration sensor, collect abnormal vibration frequency data during opening and closing, and generate an original data curve at the time of factory acceptance as a comparison calibration; S4: Transmit data to the local server platform through optical fiber communication, analyze the collected data using a pre-set cloud data model, compare with the calibrated original factory data to obtain an abnormal difference, and compare with the difference range of the pre-set model; S5: Independently synchronize multiple data with the original calibrated data respectively. When the opening time exceeds 10% of the preset value and the synchronization error > 3ms, an alarm message is sent. At the same time, calculate the remaining life of the circuit breaker according to the data of the number of operations and the degree of parameter deterioration, and send a prediction data report to the control end; As a further description of the above technical solution: the method for calculating closing synchronization; Δopening = max(TopenA, TopenB, TopenC) − min(TopenA, TopenB, TopenC); ΔTopening = max(TopenA, TopenB, TopenC) − min(TopenA, TopenB, TopenC); The closing synchronization; ΔTclosing = max(TcloseA, TcloseB, TcloseC) − min(TcloseA, TcloseB, TcloseC); ΔTclosing = max(TcloseA, TcloseB, TcloseC) − min(TcloseA, TcloseB, TcloseC); Wherein, TopenA, TopenB, TopenC are the three-phase opening times respectively; TcloseA, TcloseB, TcloseC are the closing times; Judgment standard: The threshold value of the opening synchronization error of the high-voltage circuit breaker is ≤2ms, and the threshold value of the closing synchronization error is ≤3ms; As a further description of the above technical solution: further including: S6: Through a Hall sensor cooperating with a control current transformer, perform Fourier transform on the current waveform, identify harmonic components, calculate the speed and acceleration of the displacement signal, obtain the transportation data curve of the circuit breaker opening and closing, and compare with the original factory data to obtain an attenuation curve, which is used to assist in predicting the state and remaining life of the circuit breaker.

[0009] As a further description of the above technical solution: It further includes: S7: Store the original data and analysis results of all opening and closing operations through the local server platform, with a retention period ≥ 5 years, and support data comparison before and after faults to assist in analyzing the cause of accidents.

[0010] Compared with the prior art, the advantages of the present invention are: (1) This solution collects data changes of the circuit breaker from multiple aspects through multi-sensor fusion, and compares them with the original reference data in real time to generate real-time status data of the circuit breaker, realizing visual online monitoring, and calculating and predicting the remaining service life data of the device based on a preset model.

[0011] (2) This solution stores the original data and analysis results of all opening and closing operations, retains them for a long period, and compares and analyzes them with online data in real time. As the data continues to be enriched, it realizes real-time correction of the circuit breaker life prediction and improves the prediction accuracy. Description of the Drawings

[0012] Figure 1 It is a schematic diagram of the step principle of the present invention. Specific Embodiments

[0013] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention; Please refer to Figure 1 , in the present invention, an online monitoring method for the mechanical life of a circuit breaker includes: S1: Collect the mechanical characteristic data at the time of factory for opening and closing through a displacement sensor and generate original data, generate the original single-action time for opening and closing, and three-phase synchronization data; S2: Collect the maximum speed and average speed of the contact during opening and closing through a speed sensor, and generate an original data curve at the time of factory as a comparison calibration; S3: Collect abnormal vibration frequency data during opening and closing through a vibration sensor, and generate an original data curve at the time of factory as a comparison calibration; S4: Transmit the data to the local server platform through optical fiber communication, analyze the collected data using a pre-set cloud data model, compare it with the calibrated original factory data to obtain an abnormal difference, and compare it with the difference range of the preset model; S5: Independently synchronize multiple data with the original calibration data for comparison. When the opening time exceeds 10% of the preset value and the synchronization error > 3ms, an alarm message is sent. At the same time, calculate the remaining life of the circuit breaker based on the data of the number of operations and the degree of parameter deterioration, and send a prediction data report to the control end.

[0014] In the present invention: By using displacement sensors and speed measurement sensor devices, parameters such as the displacement, speed, and vibration amplitude of the moving contact during the opening and closing processes are monitored in real time. The degree of mechanical wear is judged by combining with a preset life attenuation curve model. At the same time, various data during the operation of the circuit breaker are collected by using multi-source data fusion technology and compared with the original calibrated healthy data to accurately and efficiently identify and warn of abnormal states on one side. The local server is used for data collection, and the multi-source data is analyzed in cooperation with a preset model. The historical abnormal data and analysis results are stored for a long time to enrich the database for comparing subsequent monitoring data to achieve more accurate prediction. This not only makes the predicted life more accurate but also improves the effective prediction of possible faults, thus realizing the advantages that the device has improved the utilization rate of historical data, and improved the life prediction accuracy and early warning of abnormal problems. It solves the problems in the prior art that the subsequent utilization rate of data collected by the online monitoring method is relatively low, and separate data collection is still required for long-term equipment monitoring and analysis, resulting in low data utilization rate, and there are still errors in the efficiency and accuracy of predicting and analyzing the working state and service life of the circuit breaker.

[0015] Please refer to Figure 1 , wherein: the closing synchronism calculation method; Δ opening = max(T opening A, T opening B, T opening C) - min(T opening A, T opening B, T opening C); ΔT opening = max(T opening A, T opening B, T opening C) - min(T opening A, T opening B, T opening C); The closing synchronism; ΔT closing = max(T closing A, T closing B, T closing C) - min(T closing A, T closing B, T closing C); ΔT closing = max(T closing A, T closing B, T closing C) - min(T closing A, T closing B, T closing C); Wherein, T opening A, T opening B, and T opening C are the opening times of the three phases respectively; T closing A, T closing B, and T closing C are the closing times; Judgment criterion: The error threshold of the opening synchronism of the high-voltage circuit breaker is ≤2 ms, and the error threshold of the closing synchronism is ≤3 ms.

[0016] In the present invention: The range method directly reflects the degree of dispersion of the three-phase operation time, without complex calculations, facilitating the rapid judgment of the mechanical performance state by the real-time monitoring system. A unified threshold is used as the judgment benchmark, which has strong compatibility with the industry specifications of high-voltage circuit breakers, ensuring the comparability of evaluation results. At the same time, the formula is applicable to single-break and double-break circuit breakers. Through single-phase measurement and comprehensive comparison, the problem of long inter-phase distance and difficult synchronous testing for high-voltage grade circuit breakers is solved.

[0017] Please refer to Figure 1, where: S6: The Hall sensor is used in cooperation with the control current transformer to perform Fourier transform on the current waveform, identify harmonic components, calculate the speed and acceleration of the displacement signal, obtain the transportation data curve of the circuit breaker opening and closing, and compare it with the original factory data to obtain the attenuation curve, which is used to assist in predicting the state and remaining life of the circuit breaker.

[0018] In the present invention: The working current change of the motor is detected by the Hall sensor to evaluate the mechanical efficiency of the spring energy storage system, predict the fatigue life of the spring and mechanical connectors, which helps to give early warning of possible faults of the equipment, and is accurate to the main structure of the equipment, improving the equipment monitoring efficiency and prediction accuracy.

[0019] Please refer to Figure 1 , where: SS7: The original data and analysis results of all opening and closing operations are stored through the local server platform, and the retention period is ≥5 years, and it supports the comparison of data before and after faults to assist in analyzing the cause of accidents.

[0020] In the present invention: The original data and analysis results of all opening and closing operations are stored for subsequent comparison of data before and after faults, improving the accuracy of the life prediction of the circuit breaker. At the same time, based on historical data and the change trend of real-time monitoring data combined with analysis, early warning of possible faults is given, early detection and early maintenance are carried out, the failure rate of the circuit breaker is reduced, and the operation stability of the equipment is improved.

[0021] The above is only the preferred specific embodiment of the present invention; however, the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution of the present invention and its improved concept, makes equivalent substitution or change, and should be covered by the protection scope of the present invention.

Claims

1. An on-line monitoring method for the mechanical life of a circuit breaker, characterized in that, Including: S1: Collect the mechanical characteristic data of closing and opening at the time of factory through a displacement sensor, generate the original data, generate the single-action time of the original closing and opening, and the three-phase synchronization data; S2: Collect the maximum speed and average speed of the contact during closing and opening through a speed sensor, and generate the original data curve at the factory as a comparison calibration; S3: Collect the abnormal vibration frequency data of closing and opening through a vibration sensor, and generate the original data curve at the factory as a comparison calibration; S4: Transmit the data to the local server platform through optical communication, analyze the collected data by using a pre-set cloud data model, compare with the calibrated original factory data to obtain the abnormal difference, and compare with the difference range of the pre-set model; S5: Independently synchronize multiple data with the original calibrated data respectively. When the opening time exceeds 10% of the pre-set value and the synchronization error > 3 ms, an alarm message is sent. At the same time, calculate the remaining life of the circuit breaker according to the data of the number of operations and the degree of parameter deterioration, and send a prediction data report to the control end.

2. The online monitoring method for the mechanical life of a circuit breaker according to claim 1, characterized in that: The closing synchronization calculation method; ΔOpening = max(TopenA, TopenB, TopenC) - min(TopenA, TopenB, TopenC); ΔTOpening = max(TopenA, TopenB, TopenC) - min(TopenA, TopenB, TopenC); The closing synchronization; ΔTClosing = max(TcloseA, TcloseB, TcloseC) - min(TcloseA, TcloseB, TcloseC); ΔTClosing = max(TcloseA, TcloseB, TcloseC) - min(TcloseA, TcloseB, TcloseC); Wherein, TopenA, TopenB, and TopenC are the three-phase opening times respectively; TcloseA, TcloseB, and TcloseC are the closing times; Judgment criterion: The threshold value of the opening synchronization error of the high-voltage circuit breaker is ≤ 2 ms, and the threshold value of the closing synchronization error is ≤ 3 ms.

3. The online monitoring method for the mechanical life of a circuit breaker according to claim 1, characterized in that: Also including: S6: Perform Fourier transform on the current waveform through a Hall sensor cooperating with a control current transformer, identify the harmonic components, calculate the speed and acceleration of the displacement signal, obtain the transportation data curve of the circuit breaker closing and opening, and compare with the original factory data to obtain the attenuation curve, which is used to assist in predicting the state and remaining life of the circuit breaker.

4. The on-line monitoring method for the mechanical life of a circuit breaker according to claim 1, characterized in that: Also including: S7: Store the original data and analysis results of all closing and opening operations through the local server platform, with a retention period ≥ 5 years, and support the comparison of data before and after the fault to assist in analyzing the cause of the accident.

Citation Information

Patent Citations

  • Method and device for online monitoring of mechanical characteristics of circuit breaker based on multiple sensors

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