AI feedback system for monitoring opening and closing time of switch in real time

Abstract

The invention discloses an AI feedback system for monitoring opening and closing time of a switch in real time, which relates to the technical field of electrical variable measurement, and comprises a data acquisition module for acquiring three types of data in real time, pre-processing the data, marking the closing time by a central calculation processing module, comprehensively processing the data to obtain a copper scale interference model, and judging whether the copper scale interference model is interfered or not according to the copper scale interference model; the opening speed is adjusted, the opening moment is marked, the opening and closing time is calculated, and the early warning feedback module is called for early warning and AI feedback in case of abnormality. According to the method, multi-dimensional data are collected in real time to construct a copper scale interference model, when interference is detected, capacitor voltage is automatically increased to accelerate opening, compensation opening time is prolonged, equipment short circuit is avoided, the method is more real-time and self-adaptive compared with a traditional scheme, arc light and frequency parameters are comprehensively calculated, historical and real-time data are analyzed in combination with AI, early warning is carried out in the case of abnormity, and an adjustment strategy is optimized. Decision support is provided through a visual chart, whole-process intelligent management is achieved, and the safety and reliability of equipment are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electrical variable measurement, and in particular to an AI feedback system for real-time monitoring of switch opening and closing times. Background Art

[0002] The opening and closing of switches are the core operations for controlling the on and off of circuits in power systems: when closing, the switch contacts close, connecting the circuit and allowing current to flow, ensuring power transmission or equipment operation; when opening, the contacts separate and cut off the circuit, which is used to quickly remove loads in the event of a fault, isolate power during maintenance, or adjust the system operation mode. The two work together to achieve start and stop control, fault protection, and operating status switching of the power system, and are key links in ensuring the safe and reliable operation of the power grid.

[0003] For example, Chinese patent publication number: CN116338447A provides a method for monitoring the opening and closing status of an isolating switch, which selects several monitoring points on the rotating part of the isolating switch; obtains the standard motion trajectory of each monitoring point during the opening and closing process of the isolating switch, and sets a trajectory acquisition module according to the standard motion trajectory of each monitoring point to obtain the actual motion data of the monitoring point during the opening and closing process; in response to the opening and closing instructions of the isolating switch, obtains the actual motion data of multiple monitoring points one by one through multiple trajectory acquisition modules; several designated positions include a start position and an end position; based on the actual motion data of multiple monitoring points on the rotating part of the same phase, obtains several opening and closing parameters of the rotating part during the opening and closing process; based on several opening and closing parameters of the rotating parts of all phases, judges whether the isolating switch is open or closed. The present invention solves the technical problem of inconvenient monitoring of the opening and closing status and synchronization of three-phase isolating switches in the prior art.

[0004] However, the above solution does not take into account that the high temperature of the arc generated by the separation of contacts during opening causes the copper alloy surface material on the contacts to melt or peel off, generating copper chips. The copper chips accumulate on the operating mechanism, increasing friction resistance and hindering separation. The arc ionization prolongs the arc extinguishing time, causing the opening time to be significantly extended, resulting in the circuit breaker being unable to cut off the fault current in time, causing the equipment to short circuit. Summary of the Invention

[0005] Technical problems solved In response to the shortcomings of the existing technology, the present invention provides an AI feedback system for real-time monitoring of the opening and closing time of switches. It solves the problem that mechanical friction of contacts and high temperature of arc during opening cause copper alloy to produce copper chips, which accumulate and prolong the opening time, and ultimately cause the circuit breaker to be unable to cut off the fault current in time, resulting in equipment short circuit.

[0006] Technical Solution To achieve the above objectives, the present invention is implemented through the following technical solutions: an AI feedback system for real-time monitoring of the opening and closing time of a switch, comprising the following specific modules: a data acquisition module: starting to collect arc state data, copper chip characteristic data and opening and closing motion data in real time; a data preprocessing module: preprocessing the arc state data, copper chip characteristic data and opening and closing motion data; a central calculation and processing module: first marking the preprocessed opening and closing motion data to obtain the closing moment, and then comprehensively processing the preprocessed arc state data and copper chip characteristic data, combining the mutual influence of the arc light and copper chips at the time of opening and the influence of the existence of copper chips themselves on the opening and closing of the switch to obtain a copper chip interference model, and then analyzing the copper chip interference model for the switch. Analyze whether the opening and closing of the switch is interfered by copper chips. If the analysis shows that the opening and closing of the switch is interfered by copper chips, increase the capacitor voltage of the circuit breaker to speed up the opening speed of the switch, and mark the pre-processed opening and closing movement data again to obtain the opening time. If the analysis shows that the opening and closing of the switch is not interfered by copper chips, directly mark the pre-processed opening and closing movement data again to obtain the opening time. Perform a comprehensive calculation based on the closing time and the opening time to obtain the opening and closing time. According to the opening and closing time, analyze the slowdown of the opening and closing time of the switch. If the analysis shows that the opening and closing time of the switch is normal, return to the data acquisition module to continue monitoring. If the analysis shows that the opening and closing time of the switch is slow, call the early warning feedback module; Early warning feedback module: issues an early warning and provides feedback through AI.

[0007] Furthermore, the copper chip interference model is specifically obtained as follows: arc state data and copper chip characteristic data are normalized, the arc state data including arc intensity values at different times, and the copper chip characteristic data including resonant frequency values at different times, and comprehensive calculation is performed to obtain arc abnormality parameters and frequency distortion parameters; arc abnormality parameters and frequency distortion parameters are normalized and comprehensively calculated to obtain the copper chip interference model; ;in, represents the copper chip interference model, Indicates the arc abnormality parameters, represents the frequency distortion parameter, and Both represent positive real numbers.

[0008] Furthermore, the specific method for obtaining the arc abnormality parameters is as follows: set the normal arc existence time, record the moment when the arc intensity value appears as the arc initial moment, record the moment when the arc intensity value disappears as the arc disappearance moment, perform difference calculation between the arc initial moment and the arc disappearance moment to obtain the actual arc existence time, and perform difference calculation based on the actual arc existence time and the normal arc existence time to obtain the arc deviation time value; set the normal arc disappearance speed trend value, perform comprehensive calculation of the arc intensity values at different moments according to the time series, and obtain the actual arc disappearance speed trend value, and perform difference calculation based on the normal arc disappearance speed trend value and the actual arc disappearance speed trend value to obtain the arc disappearance speed trend deviation value; perform comprehensive calculation based on the arc deviation time value and the arc disappearance speed trend deviation value to obtain the arc abnormality parameters.

[0009] Furthermore, the specific method of the arc deviation time value is: ;in, Indicates the arc deviation time value, Indicates the actual arc existence time, Indicates the normal arc existence time.

[0010] Furthermore, the specific method for obtaining the arc disappearance speed trend deviation value is: ;in, Indicates the deviation value of the arc disappearance speed trend. Indicates the trend value of normal arc disappearance speed, Indicates the actual arc disappearance speed trend value.

[0011] Furthermore, the specific method for obtaining the actual arc disappearance speed trend value is as follows: according to the time series and the arc intensity values at different times, a time and arc intensity coordinate is established, the horizontal axis of this coordinate is the time series, and the vertical axis is the corresponding arc intensity value, and the arc intensity coordinate is obtained. According to the arc intensity coordinate, the slope of the arc intensity value at the next moment and the arc intensity value at the previous moment is calculated to obtain the arc weakening change value, and the arc weakening change value is summed to obtain the actual arc disappearance speed trend value.

[0012] Furthermore, the specific method of obtaining the arc light weakening change value is as follows: ;in, Indicates the arc light weakening change value, and it is a negative number. The ordinate represents the arc intensity coordinate at the next moment, The ordinate represents the arc intensity coordinate at the previous moment, Indicates the next moment, Indicates the previous moment.

[0013] Furthermore, the frequency distortion parameter is specifically obtained as follows: a normal frequency threshold is set, the resonant frequency value is compared with the normal frequency threshold, and a resonant frequency abnormal value is set; if the resonant frequency value is greater than the normal frequency threshold, the resonant frequency abnormal value is assigned a value of one; if the resonant frequency value is less than or equal to the normal frequency threshold, the resonant frequency abnormal value is assigned a value of zero; the resonant frequency values at different times are calculated by a variance method to obtain a frequency fluctuation value, and a frequency distortion parameter is obtained by performing a comprehensive calculation based on the resonant frequency abnormal value and the frequency fluctuation value; ;in, represents the frequency distortion parameter, Indicates abnormal value of resonant frequency, Indicates the frequency fluctuation value.

[0014] Furthermore, the specific method of obtaining the frequency fluctuation value is as follows: The resonant frequency values at different moments are summed up and calculated according to the time series to obtain the total resonant frequency values. The total resonant frequency values are averaged to obtain the mean resonant frequency value. The resonant frequency values at different moments are subtracted from the mean resonant frequency values to obtain the degree of deviation between the resonant frequency values at different moments and the mean resonant frequency values. The degree of deviation between the resonant frequency values at different moments and the mean resonant frequency values is squared and calculated. The squares of the degree of deviation between the resonant frequency values at different moments and the mean resonant frequency values are summed up and recorded as the total deviation. The frequency fluctuation value is obtained by taking the average of the total deviation.

[0015] Furthermore, the specific method of analyzing whether the opening and closing of the switch is affected by copper chips according to the copper chip interference model is as follows: a copper chip interference threshold is set through experiments, and the copper chip interference model is compared with the copper chip interference threshold. If the copper chip interference model is greater than the copper chip interference threshold, it indicates that the opening and closing of the switch is affected by copper chips; if the copper chip interference model is less than or equal to the copper chip interference threshold, it indicates that the opening and closing of the switch is not affected by copper chips.

[0016] Beneficial effects Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: 1. The data acquisition module acquires arc status, copper chip characteristics, and opening and closing movement data in real time. The central computing and processing module constructs a copper chip interference model, which can accurately analyze the impact of copper chips on opening and closing times. When copper chip interference is detected, the circuit breaker capacitor voltage is automatically increased to speed up the opening speed, dynamically compensating for the extended opening time caused by copper chip accumulation, effectively avoiding the risk of equipment short circuits caused by prolonged arc extinguishing time. Compared with traditional solutions, it is more real-time and adaptive.

[0017] 2. By comprehensively calculating arc anomaly parameters and frequency distortion parameters, combined with AI algorithms for in-depth analysis of historical and real-time monitoring data, the system not only triggers warnings when opening and closing times are abnormal, but also optimizes capacitor voltage regulation strategies through machine learning, providing decision support to operations and maintenance personnel through visual charts. This multi-dimensional data-integrated warning and feedback mechanism enables intelligent management of the entire process, from fault detection to maintenance recommendations, significantly improving the safety and reliability of power system switchgear operations.

[0018] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This invention: a flow chart of an AI feedback method for real-time monitoring of switch opening and closing time.

[0020] Figure 2 This is the structural diagram of the present invention: an AI feedback system for real-time monitoring of switch opening and closing time. DETAILED DESCRIPTION

[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0022] It should be noted that, in this document, relational terms such as first and second are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "include," "comprise," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0023] Example 1: like Figure 1-Figure 2 As shown, an embodiment of the present invention provides an AI feedback system for real-time monitoring of switch opening and closing time, including the following specific modules: Data acquisition module: When the switch opens and closes mechanically, the circuit breaker's moving contact and the circuit breaker's static contact come into contact, indicating closing. When the circuit breaker's moving contact and the circuit breaker's static contact do not come into contact, indicating opening. Real-time acquisition of opening and closing movement data begins through electromagnetic sensors. The electromagnetic sensors are placed near the circuit breaker's moving contact and sense the movement of the moving contact in real time. The opening and closing movement data includes both opening and closing movements. Since the electromagnetic sensors sense the movement of the circuit breaker's moving contact, they convert the closing movement into a closing electrical signal, and the opening movement into an opening electrical signal. Since copper alloy is provided on the moving contact and the static contact of the circuit breaker, its surface usually has an oxide layer and a dense structure. During normal opening and closing, an arc is generated between the moving contact and the static contact of the circuit breaker. However, during closing, the arc is only generated instantly before the moving contact and the static contact of the circuit breaker are closed and is quickly extinguished after the moving contact and the static contact of the circuit breaker collide with each other. During opening, the arc is continuously separated from the static contact of the circuit breaker, and the current breaking process is maintained for a long time, resulting in the arc intensity during closing being less than the arc intensity during opening, and thus the influence of the arc intensity during closing on the copper alloy is less than the influence of the arc intensity during opening on the copper alloy. Therefore, the analysis focuses on the influence of the arc intensity during opening on the copper alloy. The impact of the arc on the copper alloy contacts during closing has been controlled through alloy ratio and surface treatment design. Over time, due to the high arc intensity during opening, the copper alloy contacts of the circuit breaker's moving contact and the circuit breaker's static contact are easily melted into small copper chips by the high temperature of the arc during opening. The copper chips are easily ionized by the arc into conductive ions, and then copper ions are obtained. The copper ions react to the arc, increasing the conductivity of the arc plasma, making it easier for the arc to maintain a conductive state and prolonging the arc existence time during opening. Therefore, arc status data is obtained through an arc sensor. The arc sensor is arranged next to the gap between the circuit breaker's moving contact and the circuit breaker's static contact to directly capture the arc intensity changes during opening. The arc status data includes the arc intensity values at different times; The copper chip characteristic data is obtained by the eddy current sensor. The eddy current sensor is arranged near the circuit breaker moving contact and the circuit breaker static contact. The eddy current sensor detection is not affected by AC or DC power, which improves the detection applicability. The resonant circuit generates a high-frequency alternating magnetic field. According to Faraday's law of electromagnetic induction, when the high-frequency alternating magnetic field of the eddy current sensor acts on copper chips, the change in the magnetic flux in the copper chips will generate an induced electromotive force, driving the directional movement of free electrons to form a closed eddy current. According to Lenz's law, the direction of the magnetic field generated by the eddy current must be opposite to the original high-frequency alternating magnetic field to hinder the change of magnetic flux. This reverse magnetic field will be superimposed on the original high-frequency alternating magnetic field, weakening the magnetic flux passing through the eddy current sensor coil, resulting in a decrease in the equivalent inductance of the coil, thereby causing The natural frequency of the resonant circuit shifts, causing The natural frequency of the resonant circuit increases, that is, ;in express The natural frequency of the resonant circuit, represents the constant term of sinusoidal periodic oscillation, represents the equivalent inductance of the coil, Represents the capacitance in the eddy current sensor. When copper chips approach, the equivalent inductance of the coil decreases, resulting in The natural frequency of the resonant circuit increases, so the copper chip characteristic data includes the resonant frequency values at different times.

[0024] Data preprocessing module: performs data cleaning on arc status data, copper chip characteristic data, and opening and closing movement data, removes redundant values in the arc status data, copper chip characteristic data, and opening and closing movement data, and improves the data quality of the arc status data, copper chip characteristic data, and opening and closing movement data.

[0025] Central computing and processing module: First, the moment of obtaining the closing signal is recorded to obtain the closing moment, and then the arc state data and copper chip characteristic data after data cleaning are comprehensively processed. The mutual influence of the arc light and copper chips during opening and the influence of the existence of copper chips on the opening and closing of the switch are combined and analyzed to obtain the copper chip interference model. According to the copper chip interference model, whether the opening and closing of the switch is affected by copper chips is analyzed. If the analysis shows that the opening and closing of the switch is affected by copper chips, the circuit breaker capacitor voltage is increased, and the driving force of the circuit breaker moving contact when opening is increased. Speed up the opening and closing speed of the switch, and record the moment of obtaining the opening electrical signal to obtain the opening moment. If it is analyzed that the opening and closing of the switch is not interfered by copper chips, directly record the moment of obtaining the opening electrical signal to obtain the opening moment. Perform a comprehensive calculation based on the closing moment and the opening moment to obtain the opening and closing time. Analyze the slowdown of the opening and closing time of the switch based on the opening and closing time. If it is analyzed that the opening and closing time of the switch is normal, return to the data acquisition module to continue monitoring. If it is analyzed that the opening and closing time of the switch is slow, call the early warning feedback module.

[0026] The specific method of analyzing whether the switch opening and closing is affected by copper chips interference based on the copper chips interference model is as follows: The copper chip interference threshold is set through experiments as a criterion for judging whether the opening and closing of the switch is affected by copper chip interference. The copper chip interference model is compared with the copper chip interference threshold. If the copper chip interference model is greater than the copper chip interference threshold, it means that the opening and closing of the switch is affected by copper chip interference. If the copper chip interference model is less than or equal to the copper chip interference threshold, it means that the opening and closing of the switch is not affected by copper chip interference.

[0027] The specific method of obtaining the copper chip interference model is as follows: Standardization processing is performed on the arc state data and the copper chip characteristic data to help eliminate the dimensional difference between the arc state data and the copper chip characteristic data, and converts values of different orders of magnitude into a unified numerical range, and performs comprehensive calculations to obtain arc abnormality parameters and frequency distortion parameters. Normalization processing is performed on the arc abnormality parameters and the frequency distortion parameters to further eliminate the dimensional difference between the arc abnormality parameters and the frequency distortion parameters, and converts values of different orders of magnitude into a unified numerical range, and performs comprehensive calculations to obtain a copper chip interference model. ; in, It represents the copper chip interference model, reflecting the interference of copper chips on the opening and closing of the switch. Indicates arc abnormality parameters, indirectly reflects the situation of copper chips through arc light, and increases the accuracy of copper chip detection. Indicates the frequency distortion parameter, which indirectly reflects the situation of copper chips through the resonant frequency, thereby increasing the accuracy of copper chip detection. and represent positive real numbers, so and Greater than zero.

[0028] The specific method of obtaining arc abnormality parameters is as follows: Set the normal arc existence time, which indicates the arc existence time between the moving contact and the static contact of the circuit breaker when the circuit breaker is tripped without copper chips. The moment when the arc intensity value appears is recorded as the arc initial time, and the moment when the arc intensity value disappears is recorded as the arc extinction time. The difference between the arc initial time and the arc extinction time is calculated to obtain the actual arc existence time. The difference between the actual arc existence time and the normal arc existence time is calculated to obtain the arc deviation time value. Set the normal arc disappearance speed trend value, which indicates the speed trend of the arc disappearance between the moving contact and the static contact of the circuit breaker when the circuit breaker is tripped without copper chips. Perform a comprehensive calculation of the arc intensity values at different times based on the time series to obtain the actual arc disappearance speed trend value. Perform a difference calculation based on the normal arc disappearance speed trend value and the actual arc disappearance speed trend value to obtain the arc disappearance speed trend deviation value. The arc abnormality parameters are obtained by comprehensive calculation based on the arc deviation time value and the arc disappearance speed trend deviation value; ; in, Indicates the arc abnormality parameters, Indicates the arc deviation time value. The larger the arc deviation time value, the more abnormal the arc is, and the more serious the interference of copper chips is. It indicates the deviation value of the arc disappearance speed trend. The smaller the deviation of the arc disappearance speed trend, the more abnormal the arc is, and the more serious the interference of copper chips is.

[0029] The specific method of arc deviation time value is: ; in, Indicates the arc deviation time value, reflecting the extension of the arc between the moving contact and the static contact of the circuit breaker. Indicates the actual arc existence time, Indicates the normal arc existence time. When copper chips appear, copper ions increase the conductivity of the arc, which prolongs the arc existence time between the moving contact and the static contact of the circuit breaker during opening. Therefore, the larger the arc deviation time value, the more copper chips accumulate and the stronger the interference of copper chips.

[0030] The specific method for obtaining the arc disappearance speed trend deviation value is as follows: ; in, It indicates the deviation value of the arc disappearance speed trend, and it is a negative number. It avoids the small deviation between the actual arc existence time and the normal arc existence time, which cannot accurately reflect the interference of copper chips on the tripping. Therefore, the arc disappearance speed trend deviation is combined to reflect the interference of copper chips on the tripping. Indicates the trend value of normal arc disappearance speed, It indicates the trend value of the actual arc extinction speed. Regardless of whether there is copper chip interference or not, the arc intensity between the moving contact and the static contact of the circuit breaker decreases until it disappears. However, the copper chip interference can continuously provide conductive particles, thereby slowing down the decreasing trend of the arc intensity. As a result, the decreasing trend of the arc intensity with copper chip interference is smaller than the decreasing trend of the arc intensity without copper chip interference. Therefore, the smaller the deviation of the arc extinction speed trend, the more copper chips accumulate and the stronger the interference of copper chips.

[0031] The specific method of obtaining the actual arc disappearance speed trend value is as follows: A time and arc intensity coordinate is established based on the time series and the arc intensity values at different moments. The horizontal axis of this coordinate is the time series, and the vertical axis is the corresponding arc intensity value. The arc intensity coordinate is obtained. Since the arc intensity between the moving contact and the static contact of the circuit breaker decreases from strong to weak and then disappears when the circuit breaker is opened, the slope of the arc intensity value at the next moment and the arc intensity value at the previous moment are calculated based on the arc intensity coordinate to obtain the arc weakening change value. The arc weakening change values are summed and calculated to obtain the actual arc disappearance speed trend value. ; in, Indicates the trend value of the actual arc disappearance speed, and is a negative number, reflecting the changing trend of the actual arc disappearance speed. represents the number of moments in the time series, Indicates the number of intervals at a moment, that is, the number of changes in the arc light's weakening value. Indicates the arc weakening change value.

[0032] The specific method of obtaining the arc weakening change value is as follows: ; in, Indicates the arc light weakening change value, and it is a negative number. The ordinate represents the arc intensity coordinate at the next moment, The ordinate represents the arc intensity coordinate at the previous moment, Indicates the next moment, Indicates the previous moment.

[0033] Early warning feedback module: Issues a fault warning when increasing the circuit breaker capacitor voltage is ineffective, and uses AI algorithms to perform machine learning analysis on historical opening and closing data, copper chip interference models, and current real-time monitoring data. This module not only improves the degree of increase in the circuit breaker capacitor voltage, but also presents it to operation and maintenance personnel in the form of visual charts, providing them with intuitive and effective decision-making support, thereby realizing intelligent management of the entire process from early warning to feedback.

[0034] Example 2 differs from Example 1 in that: The specific method of obtaining the frequency distortion parameters is as follows: Since the resonant frequency value gradually increases when copper chips approach, a normal frequency threshold is set. This frequency threshold is the normal resonant frequency when there are no copper chips. The resonant frequency value is compared with the normal frequency threshold, and a resonant frequency abnormal value is set. If the resonant frequency value is greater than the normal frequency threshold, the resonant frequency abnormal value is assigned a value of one. If the resonant frequency value is less than or equal to the normal frequency threshold, the resonant frequency abnormal value is assigned a value of zero. The resonant frequency values at different times are calculated by the variance method to obtain the frequency fluctuation value, and the frequency distortion parameter is obtained by comprehensive calculation based on the resonant frequency abnormal value and the frequency fluctuation value; ; in, represents the frequency distortion parameter, Indicates the abnormal value of the resonant frequency. If the abnormal value of the resonant frequency is one, it means that the frequency distortion parameter exists. If the abnormal value of the resonant frequency is zero, it means that the frequency distortion parameter does not exist. Indicates the frequency fluctuation value. Since the copper chips move irregularly during the accumulation process, the fluctuation of the resonant frequency changes. The more copper chips accumulate in a certain period of time, the greater the fluctuation of the resonant frequency.

[0035] The specific method of obtaining the frequency fluctuation value is as follows: The resonant frequency values at different moments are summed up according to the time series to obtain the total resonant frequency values. The average of the total resonant frequency values is calculated to obtain the mean resonant frequency value, which is used as the standard for the resonant frequency value to fluctuate around the mean resonant frequency value. Therefore, the resonant frequency values at different moments are subtracted from the mean resonant frequency value to obtain the degree of deviation between the resonant frequency values at different moments and the mean resonant frequency value. The square of the degree of deviation between the resonant frequency values at different moments and the mean resonant frequency value is calculated to ignore the positive and negative differences and simplify the calculation without affecting the calculation accuracy. The square of the degree of deviation between the resonant frequency values at different moments and the mean resonant frequency value is summed up and recorded as the total deviation. The average of the total deviation is taken to obtain the frequency fluctuation value. ; in, Indicates the frequency fluctuation value, represents the number of moments in the time series, Indicates different resonant frequency values, Indicates the total amount of resonant frequency values, Represents the mean value of the resonant frequency, Indicates the degree of deviation between the resonant frequency value at different times and the mean resonant frequency value, Indicates the total amount of deviation.

[0036] The specific steps for analyzing the slowdown of switch opening and closing time according to the opening and closing time are as follows: The difference between the opening and closing moments is calculated to obtain the opening and closing time, and the opening and closing time threshold is set. That is, the opening and closing time is averaged through the historical normal opening and closing times, and the opening and closing time is compared with the opening and closing time threshold. If the opening and closing time is greater than the opening and closing time threshold, it means that the opening and closing time of the switch has slowed down. If the opening and closing time is less than or equal to the opening and closing time threshold, it means that the opening and closing time of the switch is normal.

[0037] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to the specific embodiments described. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An AI feedback system for real-time monitoring of switch opening and closing times, characterized by: Includes the following specific modules: Data acquisition module: starts to collect arc status data, copper chip characteristic data and opening and closing movement data in real time; Data preprocessing module: preprocesses arc status data, copper chip feature data, and opening and closing movement data; Central calculation and processing module: First, mark the pre-processed opening and closing movement data to obtain the closing time, and then comprehensively process the pre-processed arc state data and copper chip characteristic data. By combining the mutual influence of the arc light and copper chips during opening and the influence of the existence of copper chips on the opening and closing of the switch, a copper chip interference model is obtained. According to the copper chip interference model, whether the opening and closing of the switch is interfered by copper chips is analyzed. If it is analyzed that the opening and closing of the switch is interfered by copper chips, the circuit breaker capacitor voltage is increased to speed up the opening speed of the switch, and the pre-processed opening and closing movement data is marked again to obtain the opening time. If it is analyzed that the opening and closing of the switch is not interfered by copper chips, the pre-processed opening and closing movement data is directly marked again to obtain the opening time. According to the closing time and the opening time, a comprehensive calculation is performed to obtain the opening and closing time. According to the opening and closing time, the slowing down of the opening and closing time of the switch is analyzed. If it is analyzed that the opening and closing time of the switch is normal, it returns to the data acquisition module to continue monitoring. If it is analyzed that the opening and closing time of the switch is slow, the early warning feedback module is called; Early warning feedback module: issues early warnings and provides feedback through AI.

2. The AI feedback system for real-time monitoring of switch opening and closing time according to claim 1 is characterized in that: The specific method of obtaining the copper chip interference model is as follows: Standardization is performed on the arc state data and copper chip characteristic data. The arc state data includes arc intensity values at different times, and the copper chip characteristic data includes resonant frequency values at different times. A comprehensive calculation is performed to obtain arc abnormality parameters and frequency distortion parameters. Normalization is performed on the arc abnormality parameters and frequency distortion parameters, and a comprehensive calculation is performed to obtain a copper chip interference model. ； in, represents the copper chip interference model, Indicates the arc abnormality parameters, represents the frequency distortion parameter, and Both represent positive real numbers.

3. The AI feedback system for real-time monitoring of switch opening and closing time according to claim 2 is characterized in that: The specific method of obtaining the arc abnormality parameters is as follows: Set the normal arc existence time, record the moment when the arc intensity value appears as the arc initial time, and the moment when the arc intensity value disappears as the arc extinction time. Calculate the difference between the arc initial time and the arc extinction time to get the actual arc existence time, and calculate the difference between the actual arc existence time and the normal arc existence time to get the arc deviation time value; Set the normal arc disappearance speed trend value, perform comprehensive calculation on the arc intensity values at different times according to the time series, and obtain the actual arc disappearance speed trend value. Perform difference calculation on the normal arc disappearance speed trend value and the actual arc disappearance speed trend value to obtain the arc disappearance speed trend deviation value. The arc abnormality parameters are obtained by comprehensive calculation based on the arc deviation time value and the arc disappearance speed trend deviation value.

4. The AI feedback system for real-time monitoring of switch opening and closing time according to claim 3 is characterized in that: The specific method of the arc deviation time value is: ； in, Indicates the arc deviation time value, Indicates the actual arc existence time, Indicates the normal arc existence time.

5. The AI feedback system for real-time monitoring of switch opening and closing time according to claim 3 is characterized in that: The specific method for obtaining the arc disappearance speed trend deviation value is: ； in, Indicates the deviation value of the arc disappearance speed trend. Indicates the trend value of normal arc disappearance speed, Indicates the actual arc disappearance speed trend value.

6. The AI feedback system for real-time monitoring of switch opening and closing time according to claim 3 is characterized in that: The specific method for obtaining the actual arc disappearance speed trend value is as follows: According to the time series and the arc intensity values at different moments, a time and arc intensity coordinate is established. The horizontal axis of the coordinate is the time series, and the vertical axis is the corresponding arc intensity value. The arc intensity coordinate is obtained. According to the arc intensity coordinate, the slope of the arc intensity value at the next moment and the arc intensity value at the previous moment is calculated to obtain the arc weakening change value. The arc weakening change values are summed and calculated to obtain the actual arc disappearance speed trend value.

7. The AI feedback system for real-time monitoring of switch opening and closing time according to claim 6, characterized in that: The specific method for obtaining the arc light weakening change value is as follows: ； in, Indicates the arc light weakening change value, and it is a negative number. The ordinate represents the arc intensity coordinate at the next moment, The ordinate represents the arc intensity coordinate at the previous moment, Indicates the next moment, Indicates the previous moment.

8. The AI feedback system for real-time monitoring of switch opening and closing time according to claim 2, characterized in that: The specific method of obtaining the frequency distortion parameter is as follows: A normal frequency threshold is set, and the resonant frequency value is compared with the normal frequency threshold, and a resonant frequency abnormal value is set. If the resonant frequency value is greater than the normal frequency threshold, the resonant frequency abnormal value is assigned a value of one; if the resonant frequency value is less than or equal to the normal frequency threshold, the resonant frequency abnormal value is assigned a value of zero; the resonant frequency values at different times are calculated using the variance method to obtain the frequency fluctuation value, and the frequency distortion parameter is obtained by performing a comprehensive calculation based on the resonant frequency abnormal value and the frequency fluctuation value; ； in, represents the frequency distortion parameter, Indicates abnormal value of resonant frequency, Indicates the frequency fluctuation value.

9. The AI feedback system for real-time monitoring of switch opening and closing time according to claim 8, characterized in that: The specific method of obtaining the frequency fluctuation value is as follows: The resonant frequency values at different moments are summed up and calculated according to the time series to obtain the total resonant frequency values. The total resonant frequency values are averaged to obtain the mean resonant frequency value. The resonant frequency values at different moments are subtracted from the mean resonant frequency values to obtain the degree of deviation between the resonant frequency values at different moments and the mean resonant frequency values. The degree of deviation between the resonant frequency values at different moments and the mean resonant frequency values is squared and calculated. The squares of the degree of deviation between the resonant frequency values at different moments and the mean resonant frequency values are summed up and recorded as the total deviation. The frequency fluctuation value is obtained by taking the average of the total deviation.

10. The AI feedback system for real-time monitoring of switch opening and closing time according to claim 1, characterized in that: The specific method of analyzing whether the switch opening and closing is affected by copper chips interference based on the copper chips interference model is as follows: The copper chip interference threshold is set through experiments, and the copper chip interference model is compared with the copper chip interference threshold. If the copper chip interference model is greater than the copper chip interference threshold, it means that the switch opening and closing is interfered by copper chips. If the copper chip interference model is less than or equal to the copper chip interference threshold, it means that the switch opening and closing is not interfered by copper chips.

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