Magnetic field circuit breaker contact action time sequence state monitoring and analyzing system

Abstract

The invention provides a magnetic field circuit breaker contact action time sequence state monitoring and analyzing system, and the system comprises a data collection module which is used for collecting the current, voltage and action time data of a magnetic field circuit breaker contact in real time, forming an original data set, and transmitting the original data set to a data processing module; the data processing module is used for processing the original data set by using a bidirectional generative network adversarial algorithm to obtain a first data set; the data processing module is also used for processing the first data set by using a single-class learning algorithm to obtain distribution characteristics of the first data set; and the fault diagnosis module is used for judging the fault type of the contact of the magnetic field circuit breaker according to the distribution characteristics. According to the technical scheme, real-time monitoring of the operation state of the magnetic field circuit breaker is achieved, potential problems are found in time, and a powerful guarantee is provided for stable operation of a power system.

Description

Technical Field

[0001] The present application relates to the technical field of power equipment monitoring and analysis, and in particular to a magnetic field circuit breaker contact action timing state monitoring and analysis system. Background Art

[0002] Traditional field circuit breaker monitoring methods have problems such as incomplete monitoring, poor real-time performance, and inaccurate data analysis, which cannot meet the needs of modern power systems for high-precision, real-time monitoring of the operating status of field circuit breakers. Therefore, it is particularly important to develop a system that can comprehensively, real-timely and accurately monitor the timing status and energy consumption of field circuit breaker contacts. Summary of the invention

[0003] The present application provides a magnetic field circuit breaker contact action timing state monitoring and analysis system to at least solve the technical problems of incomplete circuit breaker monitoring, poor real-time performance, and inaccurate data analysis.

[0004] The first embodiment of the present application provides a magnetic field circuit breaker contact action timing state monitoring and analysis system, the system comprising: a data acquisition module, a data processing module and a fault diagnosis module;

[0005] The data acquisition module is used to collect the current, voltage and action time data of the magnetic field circuit breaker contacts in real time to form an original data set, and send the original data set to the data processing module;

[0006] The data processing module is used to process the original data set using a bidirectional generative network adversarial algorithm to obtain a first data set;

[0007] The data processing module is further used to process the first data set using a single-class learning algorithm to obtain distribution characteristics of the first data set;

[0008] The fault diagnosis module is used to determine the fault type of the magnetic field circuit breaker contact according to the distribution characteristics.

[0009] Preferably, the data acquisition module includes: a main contact real-time current monitoring unit, an arc contact real-time current monitoring unit, an auxiliary contact real-time current monitoring unit, a voltage monitoring unit and an action time monitoring unit;

[0010] The main contact real-time current monitoring unit is used to collect the main contact current in real time;

[0011] The arc contact real-time current monitoring unit is used to collect the current of the arc contact in real time during the arc generation period;

[0012] The auxiliary contact real-time current monitoring unit is used to collect the auxiliary contact current in real time;

[0013] The voltage monitoring unit is used to collect the voltages of the main contacts, arc contacts and auxiliary contacts in real time;

[0014] The action time monitoring unit is used to collect the action time of the main contact, arc contact and auxiliary contact in real time.

[0015] Furthermore, the data acquisition module further comprises: an arc contact energy consumption time monitoring unit and an action timing comparison unit;

[0016] The arc contact energy consumption time monitoring unit is used to record the arc contact energy consumption time;

[0017] The action timing comparison unit is used to compare the action timings of the contacts and determine whether the actions of the contacts are consistent.

[0018] Furthermore, the data processing module includes:

[0019] A conversion unit, used for converting analog data in the original data set into digital signals;

[0020] A first processing unit, configured to process the digital signal and the energy consumption time using a bidirectional generative network adversarial algorithm to obtain a first data set;

[0021] a second processing unit, configured to process the first data set using a single-class learning algorithm to obtain distribution characteristics of the first data set, wherein the distribution characteristics include: central tendency, dispersion degree, frequency distribution, and distribution form;

[0022] A communication unit, used to send the distribution characteristics to a fault diagnosis module using wired or wireless communication technology;

[0023] A power supply unit for providing electrical energy;

[0024] Wherein, the data processing module is arranged in the board housing.

[0025] Furthermore, the fault diagnosis module is also used for:

[0026] When the distribution characteristic is a central tendency, if the difference between the mean of the current data of the contact and a preset first mean threshold is greater than a first deviation threshold, it is determined that the magnetic field circuit breaker contact has an overload or short circuit fault;

[0027] When the distribution characteristic is the degree of discreteness, if the standard deviation increase value of the current data of the contact is greater than the first standard deviation increase threshold, it is determined that the magnetic field circuit breaker contact is worn, and / or has poor contact, and / or has an unstable power supply fault;

[0028] When the distribution characteristic is a frequency distribution, if the current increase value of the i-th frequency band is greater than the first current increase threshold, or the decrease value is greater than the first current decrease threshold, it is determined that the magnetic field circuit breaker contact has an abnormal behavior fault;

[0029] When the distribution feature is a distribution morphology, if the skewness value of the current data of the contact is greater than a preset first skewness threshold, or the kurtosis value of the current data of the contact is less than a preset first kurtosis threshold, it is determined that a circuit parameter change fault occurs in the magnetic field circuit breaker contact.

[0030] Furthermore, the analysis system further comprises: an energy consumption diagnosis module;

[0031] The energy consumption diagnosis module is used to determine the total energy consumption value of the field circuit breaker under different working conditions based on the current, voltage and action time data of the field circuit breaker contacts collected in real time;

[0032] The energy consumption diagnosis module is also used to determine that the magnetic field circuit breaker has a poor contact or increased resistance fault when the total energy consumption value is greater than the energy consumption threshold under its corresponding working condition.

[0033] Furthermore, the analysis system further comprises: an alarm module;

[0034] The alarm module is also used to give an alarm when the actions of the contacts are inconsistent.

[0035] Furthermore, the alarm module is also used to issue an alarm when the total energy consumption value is greater than an energy consumption threshold under its corresponding working condition.

[0036] Furthermore, the analysis system further comprises: a communication module;

[0037] The communication module is used to send the original data set, distribution characteristics, fault type, and diagnosis results of the energy consumption diagnosis module to the server.

[0038] Furthermore, the communication module is also used to send the alarm information issued by the alarm module to the server.

[0039] The technical solution provided by the embodiments of the present application brings at least the following beneficial effects:

[0040] The present application proposes a magnetic field circuit breaker contact action timing state monitoring and analysis system, the system includes: a data acquisition module, a data processing module and a fault diagnosis module; the data acquisition module is used to collect the current, voltage and action time data of the magnetic field circuit breaker contacts in real time to form an original data set, and send the original data set to the data processing module; the data processing module is used to process the original data set using a bidirectional generative network adversarial algorithm to obtain a first data set; the data processing module is also used to process the first data set using a single-class learning algorithm to obtain the distribution characteristics of the first data set; the fault diagnosis module is used to determine the fault type of the magnetic field circuit breaker contact according to the distribution characteristics. The technical solution proposed in the present application realizes real-time monitoring of the operating status of the magnetic field circuit breaker and timely discovers potential problems, providing a strong guarantee for the stable operation of the power system.

[0041] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0043] Figure 1 A first structural diagram of a magnetic field circuit breaker contact action timing state monitoring and analysis system provided according to an embodiment of the present application;

[0044] Figure 2 A structural diagram of a data acquisition module provided according to an embodiment of the present application;

[0045] Figure 3 A structural diagram of a data processing module provided according to an embodiment of the present application;

[0046] Figure 4 A second structural diagram of a magnetic field circuit breaker contact action timing state monitoring and analysis system provided according to an embodiment of the present application;

[0047] Reference numerals

[0048] Data acquisition module 1, data processing module 2, fault diagnosis module 3, main contact real-time current monitoring unit 1-1, arc contact real-time current monitoring unit 1-2, auxiliary contact real-time current monitoring unit 1-3, voltage monitoring unit 1-4, action time monitoring unit 1-4, arc contact energy consumption time monitoring unit 1-5, action timing comparison unit 1-6, conversion unit 2-1, first processing unit 2-2, second processing unit 2-3, communication unit 2-4, power supply unit 2-5, energy consumption diagnosis module 4, alarm module 5, communication module 6, DETAILED DESCRIPTION

[0049] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0050] The present application proposes a magnetic field circuit breaker contact action timing state monitoring and analysis system, the system includes: a data acquisition module, a data processing module and a fault diagnosis module; the data acquisition module is used to collect the current, voltage and action time data of the magnetic field circuit breaker contacts in real time to form an original data set, and send the original data set to the data processing module; the data processing module is used to process the original data set using a bidirectional generative network adversarial algorithm to obtain a first data set; the data processing module is also used to process the first data set using a single-class learning algorithm to obtain the distribution characteristics of the first data set; the fault diagnosis module is used to determine the fault type of the magnetic field circuit breaker contact according to the distribution characteristics. The technical solution proposed in the present application realizes real-time monitoring of the operating status of the magnetic field circuit breaker and timely discovers potential problems, providing a strong guarantee for the stable operation of the power system.

[0051] A magnetic field circuit breaker contact action timing state monitoring and analysis system according to an embodiment of the present application is described below with reference to the accompanying drawings.

[0052] Embodiment 1

[0053] Figure 1 FIG. 1 is a structural diagram of a magnetic field circuit breaker contact action timing state monitoring and analysis system provided according to an embodiment of the present application, such as Figure 1 As shown, the analysis system includes: a data acquisition module 1, a data processing module 2 and a fault diagnosis module 3;

[0054] The data acquisition module 1 is used to collect the current, voltage and action time data of the magnetic field circuit breaker contacts in real time to form an original data set, and send the original data set to the data processing module;

[0055] The data processing module 2 is used to process the original data set using a bidirectional generative network adversarial algorithm to obtain a first data set;

[0056] The data processing module 2 is further used to process the first data set using a single-class learning algorithm to obtain distribution characteristics of the first data set;

[0057] The fault diagnosis module 3 is used to determine the fault type of the field circuit breaker contact according to the distribution characteristics.

[0058] It should be noted that Figure 1 This is only an illustration of the structure of a magnetic field circuit breaker contact action timing state monitoring and analysis system in this embodiment, and does not limit the structure of the analysis system of the present application.

[0059] In the embodiments of the present disclosure, Figure 2 As shown, the data acquisition module 1 includes: a main contact real-time current monitoring unit 1-1, an arc contact real-time current monitoring unit 1-2, an auxiliary contact real-time current monitoring unit 1-3, a voltage monitoring unit 1-4 and an action time monitoring unit 1-4;

[0060] The main contact real-time current monitoring unit 1-1 is used to collect the main contact current in real time;

[0061] It should be noted that the main contact real-time current monitoring unit 1 - 1 adopts a high-precision current sensor to monitor the main contact current change in real time.

[0062] The arc contact real-time current monitoring unit 1-2 is used to collect the current of the arc contact in real time during the arc generation period;

[0063] It should be noted that the arc contact real-time current monitoring unit 1-2 adopts a current sensor that is resistant to high temperatures and electromagnetic interference, and monitors the current changes of the arc contact during the arc generation period in real time.

[0064] The auxiliary contact real-time current monitoring unit 1-3 is used to collect the auxiliary contact current in real time;

[0065] It should be noted that the auxiliary contact real-time current monitoring unit 1-3 monitors the auxiliary contact current change and evaluates the impact of its state on the circuit breaker performance.

[0066] The voltage monitoring units 1-4 are used to collect the voltages of the main contacts, arc contacts and auxiliary contacts in real time;

[0067] The action time monitoring units 1-4 are used to collect the action time of the main contacts, arc contacts and auxiliary contacts in real time.

[0068] Further, such as Figure 2 As shown, the data acquisition module 1 also includes: an arc contact energy consumption time monitoring unit 1-5 and an action timing comparison unit 1-6;

[0069] The arc contact energy consumption time monitoring unit 1-5 is used to record the arc contact energy consumption time;

[0070] It should be noted that the arc contact energy consumption time monitoring unit 1-5 records the arc contact energy consumption time (for energy consumption diagnosis) in combination with current and voltage data, and evaluates contact wear and remaining life.

[0071] The action timing comparison unit 1-6 is used to compare the action timings of the contacts and determine whether the actions of the contacts are consistent.

[0072] It should be noted that the action timing comparison unit 1-6 compares the action timing of each contact through time marking technology to ensure coordination and consistency.

[0073] In the embodiments of the present disclosure, Figure 3 As shown, the data processing module 2 includes:

[0074] A conversion unit 2-1, used to convert analog data in the original data set into digital signals;

[0075] It should be noted that the conversion unit 2 - 1 uses a high-precision analog-to-digital converter to convert analog signals into digital signals to ensure the accuracy and real-time performance of data conversion.

[0076] A first processing unit 2-2 is used to process the digital signal and the energy consumption time using a bidirectional generative network confrontation algorithm to obtain a first data set;

[0077] The second processing unit 2-3 is used to process the first data set using a single-class learning algorithm to obtain distribution characteristics of the first data set, wherein the distribution characteristics include: central tendency, dispersion degree, frequency distribution, and distribution form;

[0078] A communication unit 2-4, used to send the distribution characteristics to a fault diagnosis module using wired or wireless communication technology;

[0079] A power supply unit 2-5, for providing electrical energy;

[0080] It should be noted that the power supply unit 2-5 provides stable working power for each unit in the data processing module 2 to ensure normal operation in a complex electromagnetic environment.

[0081] The data processing module 1 is disposed in a board housing, and the board housing provides physical protection for the data processor and has good heat dissipation, anti-electromagnetic interference and mechanical strength.

[0082] In the embodiment of the present disclosure, the fault diagnosis module 3 is further used to:

[0083] When the distribution characteristic is a central tendency, if the difference between the mean of the current data of the contact and a preset first mean threshold is greater than a first deviation threshold, it is determined that the magnetic field circuit breaker contact has an overload or short circuit fault;

[0084] It should be noted that if the current data of a certain contact shows an abnormal concentration trend (such as the mean value significantly deviates from the normal range), it may indicate that the contact has a fault such as overload or short circuit.

[0085] When the distribution characteristic is the degree of discreteness, if the standard deviation increase value of the current data of the contact is greater than the first standard deviation increase threshold, it is determined that the magnetic field circuit breaker contact is worn, and / or has poor contact, and / or has an unstable power supply fault;

[0086] It should be noted that if the degree of dispersion (such as standard deviation) increases significantly, it may indicate that there is a large fluctuation in the current data, which may be related to factors such as contact wear, poor contact or unstable power supply.

[0087] When the distribution characteristic is a frequency distribution, if the current increase value of the i-th frequency band is greater than the first current increase threshold, or the decrease value is greater than the first current decrease threshold, it is determined that the magnetic field circuit breaker contact has an abnormal behavior fault;

[0088] It should be noted that changes in frequency distribution (such as significant increases or decreases in current values ​​in certain frequency bands) may indicate the presence of specific failure modes or abnormal behavior in the circuit.

[0089] When the distribution feature is a distribution morphology, if the skewness value of the current data of the contact is greater than a preset first skewness threshold, or the kurtosis value of the current data of the contact is less than a preset first kurtosis threshold, it is determined that a circuit parameter change fault occurs in the magnetic field circuit breaker contact.

[0090] It should be noted that changes in the distribution shape (such as increased skewness or decreased kurtosis) may indicate that the data distribution has changed significantly, which may be related to changes in circuit parameters or the occurrence of faults.

[0091] In the embodiments of the present disclosure, Figure 4 As shown, the analysis system further includes: an energy consumption diagnosis module 4;

[0092] The energy consumption diagnosis module 4 is used to determine the total energy consumption value of the field circuit breaker under different working conditions according to the current, voltage and action time data of the field circuit breaker contacts collected in real time;

[0093] The energy consumption diagnosis module 4 is further used to determine that the magnetic field circuit breaker has a poor contact or increased resistance fault when the total energy consumption value is greater than the energy consumption threshold value under the corresponding working condition.

[0094] In the embodiments of the present disclosure, Figure 4 As shown, the analysis system further includes: an alarm module 5;

[0095] The alarm module 5 is used to generate an alarm when the actions of the contacts are inconsistent.

[0096] Furthermore, the alarm module 5 is also used to issue an alarm when the total energy consumption value is greater than an energy consumption threshold under the corresponding working condition.

[0097] In the embodiments of the present disclosure, Figure 4 As shown, the analysis system further includes: a communication module 6;

[0098] The communication module 6 is used to send the original data set, distribution characteristics, fault type, and diagnosis results of the energy consumption diagnosis module to the server.

[0099] Furthermore, the communication module 6 is also used to send the alarm information issued by the alarm module to the server.

[0100] It should be noted that after identifying a potential fault or abnormal state, the system will send an alarm message to a remote server through the communication module 6 so that the power plant duty personnel can respond quickly and take necessary emergency measures, providing strong support for preventive maintenance.

[0101] Among them, potential fault mode: when the system detects that the current data of the main contact, arc contact or auxiliary contact has continuous abnormal fluctuations (such as the current value exceeds the normal range, the fluctuation frequency increases, etc.), and this fluctuation is inconsistent with the normal operation mode of the circuit breaker, the system will identify it as a potential fault. When the energy consumption time of the arc contact increases significantly and exceeds the preset threshold, it also indicates that the contact may have potential faults such as wear or aging.

[0102] Identification of abnormal state: When the action sequence of each contact is not coordinated or consistent (such as the action time difference between the main contact and the arc contact exceeds the allowable range), the system will identify it as an abnormal state. When the system detects a sudden change or interruption in the current data (such as the current value drops to zero or increases sharply), and this change cannot be explained by normal operation, it also indicates that the circuit breaker may be in an abnormal state.

[0103] The magnetic field circuit breaker contact action timing state monitoring and analysis system proposed in this embodiment has the following advantages:

[0104] 1. Reduce the workload of power plant professionals and improve monitoring efficiency.

[0105] 2. Realize real-time monitoring of the operating status of the magnetic field circuit breaker to promptly detect and handle potential problems.

[0106] 3. Improve the operational health level of field circuit breakers to ensure the stability and safety of the power system.

[0107] 4. Provide strong support for preventive maintenance, extend the service life of circuit breakers and reduce failure rate.

[0108] In summary, the present embodiment provides a field circuit breaker contact action timing state monitoring and analysis system, which realizes real-time monitoring of the field circuit breaker operation state and timely discovers potential problems, thus providing a strong guarantee for the stable operation of the power system.

[0109] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0110] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0111] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in the field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A magnetic field circuit breaker contact action timing state monitoring and analysis system, characterized in that: The system comprises: a data acquisition module, a data processing module and a fault diagnosis module; The data acquisition module is used to collect the current, voltage and action time data of the magnetic field circuit breaker contacts in real time to form an original data set, and send the original data set to the data processing module; The data processing module is used to process the original data set using a bidirectional generative network adversarial algorithm to obtain a first data set; The data processing module is further used to process the first data set using a single-class learning algorithm to obtain distribution characteristics of the first data set; The fault diagnosis module is used to determine the fault type of the magnetic field circuit breaker contact according to the distribution characteristics.

2. The analysis system according to claim 1, characterized in that The data acquisition module includes: a main contact real-time current monitoring unit, an arc contact real-time current monitoring unit, an auxiliary contact real-time current monitoring unit, a voltage monitoring unit and an action time monitoring unit; The main contact real-time current monitoring unit is used to collect the main contact current in real time; The arc contact real-time current monitoring unit is used to collect the current of the arc contact in real time during the arc generation period; The auxiliary contact real-time current monitoring unit is used to collect the auxiliary contact current in real time; The voltage monitoring unit is used to collect the voltages of the main contacts, arc contacts and auxiliary contacts in real time; The action time monitoring unit is used to collect the action time of the main contact, arc contact and auxiliary contact in real time.

3. The analysis system according to claim 2, characterized in that The data acquisition module also includes: an arc contact energy consumption time monitoring unit and an action timing comparison unit; The arc contact energy consumption time monitoring unit is used to record the arc contact energy consumption time; The action timing comparison unit is used to compare the action timings of the contacts and determine whether the actions of the contacts are consistent.

4. The analysis system according to claim 3, characterized in that The data processing module comprises: A conversion unit, used for converting analog data in the original data set into digital signals; A first processing unit, configured to process the digital signal and the energy consumption time using a bidirectional generative network adversarial algorithm to obtain a first data set; a second processing unit, configured to process the first data set using a single-class learning algorithm to obtain distribution characteristics of the first data set, wherein the distribution characteristics include: central tendency, dispersion degree, frequency distribution, and distribution form; A communication unit, used to send the distribution characteristics to a fault diagnosis module using wired or wireless communication technology; A power supply unit for providing electrical energy; Wherein, the data processing module is arranged in the board housing.

5. The analysis system according to claim 4, characterized in that: The fault diagnosis module is also used for: When the distribution characteristic is a central tendency, if the difference between the mean of the current data of the contact and a preset first mean threshold is greater than a first deviation threshold, it is determined that the magnetic field circuit breaker contact has an overload or short circuit fault; When the distribution characteristic is the degree of discreteness, if the standard deviation increase value of the current data of the contact is greater than the first standard deviation increase threshold, it is determined that the magnetic field circuit breaker contact is worn, and / or has poor contact, and / or has an unstable power supply fault; When the distribution characteristic is a frequency distribution, if the current increase value of the i-th frequency band is greater than the first current increase threshold, or the decrease value is greater than the first current decrease threshold, it is determined that the magnetic field circuit breaker contact has an abnormal behavior fault; When the distribution feature is a distribution morphology, if the skewness value of the current data of the contact is greater than a preset first skewness threshold, or the kurtosis value of the current data of the contact is less than a preset first kurtosis threshold, it is determined that a circuit parameter change fault occurs in the magnetic field circuit breaker contact.

6. The analysis system according to claim 5, characterized in that The analysis system further comprises: an energy consumption diagnosis module; The energy consumption diagnosis module is used to determine the total energy consumption value of the field circuit breaker under different working conditions based on the current, voltage and action time data of the field circuit breaker contacts collected in real time; The energy consumption diagnosis module is also used to determine that the magnetic field circuit breaker has a poor contact or increased resistance fault when the total energy consumption value is greater than the energy consumption threshold under its corresponding working condition.

7. The analysis system according to claim 6, characterized in that The analysis system further comprises: an alarm module; The alarm module is used to give an alarm when the actions of the contacts are inconsistent.

8. The analysis system according to claim 7, characterized in that The alarm module is also used to issue an alarm when the total energy consumption value is greater than the energy consumption threshold under its corresponding working condition.

9. The analysis system according to claim 8, characterized in that The analysis system further comprises: a communication module; The communication module is used to send the original data set, distribution characteristics, fault type, and diagnosis results of the energy consumption diagnosis module to the server.

10. The analysis system according to claim 9, characterized in that The communication module is also used to send the alarm information sent by the alarm module to the server.

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