Motor starting frequency statistical system and method for GIS circuit breaker

Abstract

The invention provides a motor starting frequency statistical system and method for a GIS (Gas Insulated Switchgear) circuit breaker, relates to the technical field of automatic control of a power system, and solves the limitation problem that the existing statistical mode is low in precision, efficiency and intelligent level. The method comprises the following steps: firstly, collecting a motor starting current signal and an opening and closing position signal, and carrying out digital preprocessing; based on the change time sequence of the motor starting current signal and the opening and closing position signal, a motor starting event is identified, and the starting time point and the duration time are recorded; after the starting information data corresponding to the motor starting event is stored in the database, a starting frequency report is analyzed and generated according to the motor starting historical record data, the incidence relation between the motor starting frequency and the health state of the GIS circuit breaker equipment is analyzed through the data mining technology, and maintainability suggestions are output. Accurate statistics of the starting times of the circuit breaker motor can be smoothly realized, and a reliable basis is provided for operation and maintenance of equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of power system automation control, and in particular to a motor start-time statistics system and method for a GIS circuit breaker. Background Art

[0002] As power systems continue to expand, gas-insulated metal-enclosed switchgear (GIS) circuit breakers have gained widespread adoption in ultra-high voltage (EHV) and ultra-high voltage (UHV) power systems due to their significant advantages, including a small footprint, superior insulation performance, and high operational reliability. As critical protection equipment in power systems, the accuracy and reliability of circuit breaker operation are directly linked to the safe and stable operation of the power grid. A motor is typically used as the core drive component in the circuit breaker's operating mechanism. Reliably interrupting the enormous fault or load currents at EHV and UHV levels requires powerful mechanical force to drive the contacts for rapid opening and closing. DC or AC motors are the key actuators that provide this required power. They drive the complex transmission mechanism, overcoming the immense pressure and friction between the contacts, as well as the reaction force of the arc extinguishing chamber, ensuring that the circuit breaker can accurately and effectively complete the designated opening or closing operations in a very short time.

[0003] The number of starts of a circuit breaker motor is a core indicator of the operating status and overall health of its operating mechanism. Every successful opening or closing operation corresponds to a start and operation of the motor. Counting and analyzing these starts directly tracks the frequency of circuit breaker operation and assesses the wear of its mechanical components, providing a crucial quantitative basis for scientifically predicting the remaining life of the equipment and accurately formulating preventive maintenance and overhaul plans. Therefore, accurate and efficient counting and analysis of the number of circuit breaker motor starts is a fundamental requirement for improving the intelligent operation and maintenance of power equipment and ensuring grid reliability.

[0004] However, most current statistical methods for counting the number of GIS circuit breaker motor starts in the industry still rely on manual on-site recording or the use of independent counting devices with simple structures and functions. These traditional methods have obvious limitations. In terms of statistical accuracy, manual recording cannot capture every motor start event in real time and without omission, especially when unattended or frequently operated, and omissions or misrecording are very likely to occur. Simple counting devices can usually only accumulate the total number of times and cannot record related information such as the specific time of each start, the type of opening / closing operation, etc., and their own reliability is easily affected by the environment. In terms of data processing efficiency, manually recorded data requires a lot of time to organize, enter and verify, and the process is cumbersome and time-sensitive. Data extraction from simple counting devices also often requires manual on-site operation. This inefficient data processing mode cannot meet the urgent needs of modern large-scale power systems for rapid perception of equipment status and efficient operation and maintenance. In addition, existing methods generally lack intelligent analysis capabilities. They only stay at the basic counting level and are unable to combine equipment operating parameters, historical data and environmental factors to conduct in-depth mining of the accumulated number of startups. It is difficult to identify abnormal patterns and evaluate wear trends, and they are unable to proactively provide early warning information about the health status of the equipment or targeted maintenance recommendations.

[0005] Therefore, the current statistical methods for counting motor starts of GIS circuit breakers are insufficient in terms of accuracy, efficiency, and intelligence, which restricts the accurate assessment of equipment status and the optimization of operation and maintenance decisions. There is an urgent need to develop an intelligent, high-precision statistical method for counting motor starts of circuit breaker devices with in-depth analysis capabilities to significantly improve the operation and maintenance efficiency and reliability of key power system equipment. Summary of the Invention

[0006] This invention aims to address the limitations of existing statistical methods in terms of accuracy, efficiency, and intelligence. Therefore, a system and method for counting motor starts in GIS circuit breakers is proposed. Through intelligent data collection, processing, and analysis, this method accurately counts the number of motor starts in circuit breakers, providing a reliable basis for equipment operation and maintenance.

[0007] The present invention adopts the following technical solutions to achieve the purpose: A motor start-up times statistics system for GIS circuit breakers includes a data acquisition module, a data processing module, a data storage module and a statistical analysis module, wherein: The data acquisition module is used to collect the motor starting current signal in real time in the motor starting circuit of the GIS circuit breaker, and collect the opening and closing position signals on the circuit breaker body of the GIS circuit breaker; The data processing module is used to digitally pre-process the collected motor starting current signal and opening and closing position signal, identify the motor starting event through a preset algorithm, and record the starting information data corresponding to the motor starting event; The data storage module is used to store the processed and recorded startup information data into a database to form motor startup history data including time series and event types; The statistical analysis module is used to perform statistical analysis on the motor start history record data, generate a start count report, and use data mining technology to analyze the correlation between the number of motor starts in the start count report and the health status of the GIS circuit breaker equipment, and output maintenance recommendations.

[0008] Preferably, the data acquisition module includes a current sensor installed in the motor starting circuit, a position sensor installed on the circuit breaker body, and a data acquisition card for receiving sensor signals from the current sensor and the position sensor; the data processing module and the data storage module are both deployed in a computer system, and the computer system obtains the sensor signals from the data acquisition module through the data acquisition card.

[0009] Preferably, the data processing module is used to use a low-pass filter to eliminate high-frequency noise interference of the motor starting current signal and the opening and closing position signal during digital preprocessing, and to increase the amplitude of these two types of signals to within a preset processing range through an operational amplifier; The preset algorithm includes: comparing the amplitude of the motor starting current signal with a preset starting threshold value, and determining it as a valid motor starting event when the amplitude of the motor starting current signal continuously exceeds the preset starting threshold value and at the same time the opening and closing position signals are detected, the opening position signal changes to the closing position signal, or the closing position signal changes to the opening position signal.

[0010] Specifically, the database uses a time series data structure to store startup information data, and each stored startup information data includes an event type field, a timestamp field, a startup duration field and a current peak field; the data storage module is also configured with an index optimization module, which is used to implement index query of startup information data through keyword retrieval or preset field sorting.

[0011] Preferably, the statistical analysis module is used to establish a correlation model between the motor starting frequency and the degree of wear of the GIS circuit breaker operating mechanism when performing data mining; when the average duration of each motor start-up in a preset number of consecutive starts exceeds a preset percentage of the historical benchmark value, a maintenance recommendation instruction is generated.

[0012] The present invention also provides a method for counting the number of motor starts of a GIS circuit breaker. The hardware basis of the method is the aforementioned motor start count counting system. The method comprises the following steps: S1. Collect the motor starting current signal in the motor starting circuit through the current sensor, and collect the opening and closing position signal of the circuit breaker body through the position sensor; S2. Digitally preprocess the motor starting current signal and the opening and closing position signal, increase the amplitude of these two types of signals to within a preset processing range, and convert them into digital signals; S3. Based on the changing time sequence of the motor starting current signal and the opening and closing position signal, identify the motor starting event and record the starting time point and duration; S4. Storing the startup information data corresponding to the motor startup event in a database to form motor startup history data with a timestamp; S5. Analyze and generate a start count report based on the motor start history data. Use data mining technology to analyze the correlation between the motor start count in the start count report and the health status of the GIS circuit breaker equipment, and output maintenance recommendations.

[0013] Preferably, in step S2, a second-order Butterworth low-pass filter with a preset cutoff frequency is used to filter the motor starting current signal and the opening and closing position signal to eliminate noise interference; the signal amplitude is enhanced by using a programmable gain amplifier, and its amplification factor is adjusted according to the current range corresponding to the preset processing range, so that the amplitude of the two types of signals is enhanced.

[0014] Furthermore, in step S3, the identification of the motor start event is specifically as follows: when the motor start current signal exceeds a preset percentage of the motor rated current within a preset duration, the event monitoring window is triggered; when the opening and closing position signals are detected within the event monitoring window, when the opening position signal is converted into the closing position signal, or the closing position signal is converted into the opening position signal, it is determined to be a valid motor start event.

[0015] Specifically, in step S5, the generated start-up count report includes a periodic report and an abnormal event report; the periodic report counts the total number of motor starts and the average duration according to the preset time dimension; the abnormal event report records the details of the start-up events whose start-up duration exceeds the preset multiple standard deviation of the historical average value.

[0016] Preferably, the output maintenance recommendations are specifically as follows: calculating the average current rising slope corresponding to the motor starting current signal in the preset number of recent starts; when the average current rising slope decreases by a preset percentage point year-on-year, outputting a motor carbon brush wear warning recommendation; when the starting process is performed continuously for a preset number of times, if the motor starting interval is less than a preset cooling cycle, outputting a motor overheating risk prompt.

[0017] In summary, due to the adoption of this technical solution, the beneficial effects of the present invention are as follows: First, the present invention significantly improves statistical accuracy. By employing current and position sensors placed in the motor starting circuit and on the circuit breaker itself, it achieves high-precision, real-time acquisition of motor starting current signals and circuit breaker position status signals. Combined with a data processing algorithm, this method accurately extracts the signal signatures that characterize motor starting events. Subsequently, based on a pre-set intelligent recognition algorithm, it accurately identifies motor starting events and simultaneously records key parameters such as the start time and duration, fundamentally avoiding the omissions and misrecording issues common with manual or simpler devices.

[0018] This invention also achieves a high degree of automation in the data processing process. From real-time signal acquisition, preprocessing, and feature extraction to intelligent identification and recording of startup events, the entire process requires no human intervention, reducing the human resources and data collation time required by traditional methods. This data processing capability can rapidly respond to and meet the urgent needs of modern large-scale power systems for real-time acquisition of equipment status information and efficient operation and maintenance management.

[0019] Based on precise statistics and efficient data collection, this invention can deeply mine and statistically analyze long-term accumulated historical data on motor starts, revealing the inherent correlations between motor start frequency and operating mode, the degree of mechanical wear, and overall health of the equipment. Based on this analysis, the system can proactively assess the operating status of the equipment, predict potential risks, and provide operators with targeted equipment health warnings and scientific preventive maintenance recommendations, assisting in developing optimal maintenance plans and achieving predictable management of equipment status.

[0020] This invention has broad applicability, particularly for ultra-high voltage and UHV applications. Its technical solution can be effectively applied to GIS circuit breakers operating at voltage levels of 500kV and above. It is particularly well-suited for large-scale hub substations and power plants, which experience frequent operations and demand extremely high reliability, providing strong technical support for the safe and stable operation of these critical power facilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The present invention further illustrates its implementation and technical solutions in detail through the following drawings, which specifically include two drawings as follows: Figure 1 The overall structure and brief functional diagram of the system of the present invention; Figure 2 The figure is a schematic diagram briefly describing the overall process of the method of the present invention. DETAILED DESCRIPTION

[0022] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings herein can be arranged and designed in various different configurations.

[0023] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention as claimed, but rather merely represents selected embodiments of the present invention. All other embodiments derived by persons of ordinary skill in the art based on the embodiments of the present invention without creative effort are intended to fall within the scope of protection of the present invention.

[0024] Example 1 like Figure 1 As shown, a motor start-up number statistics system for GIS circuit breakers includes a data acquisition module, a data processing module, a data storage module and a statistical analysis module, wherein: The data acquisition module is used to collect the motor starting current signal in real time in the motor starting circuit of the GIS circuit breaker, and collect the opening and closing position signals on the circuit breaker body of the GIS circuit breaker; The data processing module is used to digitally pre-process the collected motor starting current signal and opening and closing position signal, identify the motor starting event through a preset algorithm, and record the starting information data corresponding to the motor starting event; The data storage module is used to store the processed and recorded startup information data into a database to form motor startup history data including time series and event types; The statistical analysis module is used to perform statistical analysis on the motor start history record data, generate a start count report, and use data mining technology to analyze the correlation between the number of motor starts in the start count report and the health status of the GIS circuit breaker equipment, and output maintenance recommendations.

[0025] In this embodiment, the data acquisition module includes a current sensor installed in the motor starting circuit, a position sensor installed on the circuit breaker body, and a data acquisition card for receiving sensor signals from the current sensor and the position sensor; the data processing module and the data storage module are both deployed in a computer system, and the computer system obtains the sensor signals from the data acquisition module through the data acquisition card.

[0026] The current sensor preferably uses a non-invasive Hall effect sensor whose measurement range covers the typical transient current range during motor startup, such as 0-50A. This embodiment recommends that its sampling accuracy be no less than ±1% to ensure accurate capture of the rising edge characteristics of the motor startup current signal.

[0027] The position sensor is preferably a mechanical limit micro switch or a magnetic induction proximity switch, whose response time is preferably shorter than 10ms. It is installed in direct contact with the linkage components of the circuit breaker operating mechanism to provide real-time feedback on the physical opening and closing status of the contacts.

[0028] The data acquisition card features multi-channel synchronous data acquisition capabilities, a sampling frequency of no less than 2kHz, and communicates with the computer system via an industry-standard interface such as RS485 or Ethernet. The computer system can use commercially available data acquisition and processing software for data processing, which will not be detailed here. The software is only required to perform digital filtering and time-domain analysis on the raw signal. Digital filtering can utilize a second-order Butterworth low-pass filter to eliminate high-frequency interference.

[0029] This embodiment uses a preset current threshold determination algorithm combined with the change in the position signal state to collaboratively determine the motor start event and store relevant data. Before executing the preset algorithm, the data processing module not only uses a low-pass filter to eliminate the high-frequency noise interference of the motor starting current signal and the opening and closing position signal, but also uses an operational amplifier to increase the amplitude of these two types of signals to within a preset processing range. Subsequently, the preset algorithm of this embodiment includes: comparing the amplitude of the motor starting current signal with the preset starting threshold value. When the amplitude of the motor starting current signal continues to exceed the preset starting threshold value and at the same time, the opening position signal is detected in the opening and closing position signal, and the opening position signal is converted to the closing position signal, or the closing position signal is converted to the opening position signal, it is determined to be a valid motor start event.

[0030] In this embodiment, the operational amplifier uses an adjustable gain design to boost the signal amplitude, with a typical gain factor of 2 to 10 times. This ensures that the signal amplitude remains stable within 30%-70% of the data acquisition card's range, a range typically associated with the optimal linear range for commercially available data acquisition cards. The preset startup threshold is dynamically adjusted based on the motor's rated current, typically ranging from 20%-30% of the rated current. For example, when the motor's rated current is 15A, the threshold is set between 3A and 4.5A. The preset startup threshold must be higher than the steady-state operating current and lower than the minimum startup current.

[0031] In the pre-set algorithm's judgment logic, the "continuously exceeding" duration condition is implemented using the number of sampling cycles. Specifically, the current signal amplitude must continuously cross the threshold for at least three sampling cycles to suppress false triggering caused by transient interference. This embodiment also recommends configuring the current sensor's threshold sampling process to 1.5ms at a 2kHz sampling rate. That is, at a 2kHz sampling rate, the total duration of the three sampling cycles is 1.5ms. Position signal transition detection relies on a level state that remains stable for 5ms as a valid criterion, ensuring that transient jitter caused by mechanical vibration is eliminated. When the current condition and the position transition condition occur simultaneously within a 20ms time window, the system records it as a valid start event and associates and stores the rising edge of the current signal as the event start timestamp and the position signal's stable transition time as the action completion timestamp. The time difference between the two is recorded as the actual start duration. This coordinated judgment mechanism mitigates the risk of single signal failure. For example, if a motor stall causes current anomalies but no position change, the system automatically excludes this invalid event.

[0032] In this embodiment, the database uses a time series data structure to store startup information data, and each stored startup information data includes an event type field, a timestamp field, a startup duration field, and a current peak field; the data storage module is also configured with an index optimization module, which is used to implement index query of startup information data through keyword retrieval or preset field sorting.

[0033] As a preference of this embodiment, the event type field in the timing data structure uses classification coding to identify the opening start event and the closing start event. For example, the code 0x01 can be used to represent the opening operation and 0x02 can be used to represent the closing operation; the timestamp field is used to record the absolute time with an accuracy of milliseconds, and can use the ISO 8601 standard format, such as "2025-05-15T14:23:05.768Z"; the start duration field stores the time difference from the rising edge of the current to the steady-state switching of the position signal, in milliseconds; the current peak field stores the maximum sampling value of the current signal during the startup process, in A.

[0034] As a preferred embodiment of this embodiment, the index optimization module constructs a B+ tree primary index based on the timestamp field to achieve fast range query of historical data by time dimension, for example, all events in Q2 of 2024 can be retrieved. At the same time, a hash auxiliary index is established for the event type field, and statistics are classified by operation type, so that the opening / closing operation records can be extracted separately. For high-frequency query scenarios, this embodiment pre-configures a materialized view sorted in descending order by current peak value. When the current peak exceeds 80% of the rated value, the relevant mark is automatically triggered, and the mark field is also synchronously added to the index to speed up the tracing of specific situations. The index update adopts an asynchronous batch processing mechanism to reorganize the index structure during non-peak hours to ensure that the data write throughput is not less than 2000 records per second.

[0035] Finally, when performing data mining, the statistical analysis module in the system establishes a correlation model between the motor starting frequency and the degree of wear of the GIS circuit breaker operating mechanism; when the average duration of each motor start exceeds 20% of the historical baseline value during the preset number of consecutive starts, a maintenance recommendation instruction is generated.

[0036] In this embodiment, the physical correlation between the motor starting frequency and the degree of wear of the GIS circuit breaker operating mechanism can be established as a mathematical mapping relationship. The degree of wear of the operating mechanism is indirectly quantified by the increment of the starting duration. The theoretical basis for this is that when transmission mechanism components such as gears and bearings wear, mechanical friction resistance increases, causing the motor to take longer to overcome resistance and complete the opening and closing actions, which is manifested as a year-on-year increase in the starting duration. The correlation model uses historical benchmark starting duration as a reference point for health status. For example, the average starting duration of a new device in the first month of operation is only 200ms. The degree of wear is assessed by monitoring the average rate of change of the starting duration within a preset period of 50 consecutive operations. When this rate of change exceeds a threshold of 20%, that is, the average duration is greater than 240ms, the model determines that the mechanism wear has reached a level requiring intervention and triggers a maintenance recommendation. The correlation model can be verified by training historical fault data using a machine learning algorithm, preferably using a random forest regression algorithm. Its input features include starting frequency, duration deviation, ambient temperature and humidity, and the output is a wear index. After training, it can be put into use when its prediction accuracy meets the requirements of engineering applications.

[0037] Example 2 Based on Example 1, this embodiment provides a method for counting the number of motor starts of a GIS circuit breaker. The hardware basis of this method is the aforementioned motor start count system. Figure 2 The method comprises the following steps: S1. Collect the motor starting current signal in the motor starting circuit through the current sensor, and collect the opening and closing position signal of the circuit breaker body through the position sensor; S2. Digitally preprocess the motor starting current signal and the opening and closing position signal, increase the amplitude of these two types of signals to within a preset processing range, and convert them into digital signals; S3. Based on the changing time sequence of the motor starting current signal and the opening and closing position signal, identify the motor starting event and record the starting time point and duration; S4. Storing the startup information data corresponding to the motor startup event in a database to form motor startup history data with a timestamp; S5. Analyze and generate a start count report based on the motor start history data. Use data mining technology to analyze the correlation between the motor start count in the start count report and the health status of the GIS circuit breaker equipment, and output maintenance recommendations.

[0038] In step S2 of this embodiment, a second-order Butterworth low-pass filter with a cutoff frequency lower than 700 Hz is used to filter the motor starting current signal and the opening and closing position signal to eliminate noise interference; a programmable gain amplifier is used to increase the signal amplitude, and its amplification factor is adjusted according to the current range corresponding to the preset processing range, so that the amplitude of the two types of signals is increased.

[0039] In step S3 of this embodiment, the motor start event is identified as follows: when the motor start current signal exceeds a preset percentage of the motor rated current within a preset duration, the event monitoring window is triggered; when the opening and closing position signals are detected within the event monitoring window, when the opening position signal is converted into the closing position signal, or the closing position signal is converted into the opening position signal, it is determined to be a valid motor start event.

[0040] In step S5 of this embodiment, the generated start-up count report includes a periodic report and an abnormal event report; the periodic report counts the total number of motor starts and the average duration according to preset time dimensions, such as day / month / year, etc.; the abnormal event report records the details of the start-up events whose start-up duration exceeds the preset multiple standard deviation of the historical average value.

[0041] As a preferred embodiment of this invention, the maintenance recommendations are specifically output as follows: calculating the average current rising slope corresponding to the motor starting current signal in the preset number of recent starts; when the average current rising slope decreases by a preset percentage point year-on-year, outputting a motor carbon brush wear warning recommendation; when the starting process is performed continuously for a preset number of times, if the motor starting interval is less than the preset cooling cycle, outputting a motor overheating risk warning.

[0042] In this embodiment, the average current rising slope is calculated based on the rising edge characteristics of the current signal within a preset time window, such as the characteristics during the most recent 100 startups. Specifically, a linear regression algorithm is used to fit the slope of the current waveform from 10% to 90% of the peak value, expressed in A / ms. The arithmetic mean is then taken as the judgment basis. When this mean decreases by 15 percentage points year-on-year, for example, from a historical baseline of 25 A / ms to below 21.25 A / ms, it can be determined that the motor's carbon brushes are worn, resulting in increased contact resistance. This triggers a carbon brush wear warning, which can include instructions to check the remaining thickness of the carbon brushes and the spring pressure.

[0043] In this embodiment, for continuous starting conditions, the time intervals between adjacent starting events can be monitored in real time. When the number of consecutive starts reaches 5 times and the interval time is less than the cooling cycle specified in the equipment technical manual, such as the typical value of 180 seconds, the theoretical temperature rise value is calculated based on the standard motor winding temperature rise model in this field, such as the model constructed by the IEC 60034-6 thermodynamic equation. If the safety limit of the insulation material is exceeded, a motor overheating risk prompt is generated. According to the actual situation, the next motor start-up can be forcibly locked and a heat dissipation maintenance plan can be prompted.

Claims

1. A motor start-up times statistics system for GIS circuit breakers, characterized in that: It includes data acquisition module, data processing module, data storage module and statistical analysis module, among which: The data acquisition module is used to collect the motor starting current signal in real time in the motor starting circuit of the GIS circuit breaker, and collect the opening and closing position signals on the circuit breaker body of the GIS circuit breaker; The data processing module is used to digitally pre-process the collected motor starting current signal and opening and closing position signal, identify the motor starting event through a preset algorithm, and record the starting information data corresponding to the motor starting event; The data storage module is used to store the processed and recorded startup information data into a database to form motor startup history data including time series and event types; The statistical analysis module is used to perform statistical analysis on the motor start history record data, generate a start count report, and use data mining technology to analyze the correlation between the number of motor starts in the start count report and the health status of the GIS circuit breaker equipment, and output maintenance recommendations.

2. The motor start times counting system according to claim 1, characterized in that: The data acquisition module includes a current sensor installed in the motor starting circuit, a position sensor installed on the circuit breaker body, and a data acquisition card for receiving sensor signals from the current sensor and the position sensor; the data processing module and the data storage module are both deployed in a computer system, and the computer system obtains the sensor signals from the data acquisition module through the data acquisition card.

3. The motor start times counting system according to claim 2, characterized in that: The data processing module is used to use a low-pass filter to eliminate high-frequency noise interference from the motor starting current signal and the opening and closing position signal during digital preprocessing, and to increase the amplitude of these two types of signals to within a preset processing range through an operational amplifier; The preset algorithm includes: comparing the amplitude of the motor starting current signal with a preset starting threshold value, and determining it as a valid motor starting event when the amplitude of the motor starting current signal continuously exceeds the preset starting threshold value and at the same time the opening and closing position signals are detected, the opening position signal changes to the closing position signal, or the closing position signal changes to the opening position signal.

4. The motor start-up times counting system according to claim 1, characterized in that: The database uses a time series data structure to store startup information data, and each stored startup information data includes an event type field, a timestamp field, a startup duration field, and a current peak field; the data storage module is also configured with an index optimization module, which is used to implement index query of startup information data through keyword retrieval or preset field sorting.

5. The motor start-up times counting system according to claim 1, characterized in that: The statistical analysis module is used to establish a correlation model between the motor starting frequency and the degree of wear of the GIS circuit breaker operating mechanism when performing data mining; when the average duration of each motor start-up in a preset number of consecutive starts exceeds a preset percentage of the historical benchmark value, a maintenance recommendation instruction is generated.

6. A method for counting the number of motor starts of a GIS circuit breaker, characterized in that: The hardware basis of the method is the motor start-time statistics system according to any one of claims 1 to 5; the method comprises the following steps: S1. Collect the motor starting current signal in the motor starting circuit through the current sensor, and collect the opening and closing position signal of the circuit breaker body through the position sensor; S2. Digitally preprocess the motor starting current signal and the opening and closing position signal, increase the amplitude of these two types of signals to within a preset processing range, and convert them into digital signals; S3. Based on the changing time sequence of the motor starting current signal and the opening and closing position signal, identify the motor starting event and record the starting time point and duration; S4. Storing the startup information data corresponding to the motor startup event in a database to form motor startup history data with a timestamp; S5. Analyze and generate a start count report based on the motor start history data. Use data mining technology to analyze the correlation between the motor start count in the start count report and the health status of the GIS circuit breaker equipment, and output maintenance recommendations.

7. The motor start-up times counting system according to claim 6, characterized in that: In step S2, a second-order Butterworth low-pass filter with a preset cutoff frequency is used to filter the motor starting current signal and the opening and closing position signal to eliminate noise interference; a programmable gain amplifier is used to increase the signal amplitude, and its amplification factor is adjusted according to the current range corresponding to the preset processing range, so that the amplitude of the two types of signals is increased.

8. The motor start times counting system according to claim 6, characterized in that: In step S3, the motor start event is identified as follows: when the motor start current signal exceeds a preset percentage of the motor rated current within a preset duration, an event monitoring window is triggered; when the opening and closing position signals are detected within the event monitoring window, when the opening position signal is converted into the closing position signal, or the closing position signal is converted into the opening position signal, it is determined to be a valid motor start event.

9. The motor start-up times counting system according to claim 6, characterized in that: In step S5, the generated start-up count report includes a periodic report and an abnormal event report; the periodic report counts the total number of motor starts and the average duration according to the preset time latitude; the abnormal event report records the details of the start-up events whose start-up duration exceeds the preset multiple standard deviation of the historical average value.

10. The motor start times counting system according to claim 9, characterized in that: The output of the maintenance suggestion is specifically: calculating the average current rising slope corresponding to the motor starting current signal in a preset number of recent starts; when the average current rising slope decreases by a preset percentage point year-on-year, outputting a motor carbon brush wear warning suggestion; When the preset number of startup processes are performed continuously, if the motor startup interval is less than the preset cooling period, a motor overheating risk warning is output.

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