Movable circuit breaker operating mechanism monitoring device based on digitization

Abstract

The invention relates to the technical field of circuit breaker state monitoring, in particular to a digitization-based movable circuit breaker operating mechanism monitoring device, which comprises a multi-node signal acquisition monitoring force, speed, displacement, vibration and environmental data, classification and integration to generate multi-source signals, analysis of impact starting, action and recovery stage identification key areas, and analysis of the impact starting, action and recovery stage identification key areas. Combining the environment signal correction force and vibration characteristics, extracting correction characteristics, identifying and adjusting abnormal deviation, and evaluating action coordination and stability to generate a state report. According to the invention, signals of displacement, force, speed, vibration and the like during operation of the circuit breaker are acquired in real time through multiple sensors, and the equipment state is analyzed comprehensively and accurately. Vibration and force signals are analyzed in stages, the impact process is divided into three stages of starting, acting and recovering, and an influence area is accurately positioned. Interference of temperature and humidity on signals is corrected, and data accuracy is ensured. The equipment is adjusted to a standard range according to the deviation, thereby reducing abnormal and fault risks, and improving the stability and reliability of the equipment.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of circuit breaker state monitoring, and in particular to a digital-based movable circuit breaker operating mechanism monitoring device. BACKGROUND

[0002] The technical field of circuit breaker state monitoring includes research on data collection and analysis of the operating mechanism, mechanical performance, and action characteristics of circuit breakers during operation in power systems. The core content is to perceive and record multi-dimensional parameters such as displacement, speed, time, and electrical signals of circuit breakers during action, to achieve comprehensive identification and tracking of the state of circuit breaker operating mechanisms. The overall technical system usually covers off-line testing methods and online monitoring methods. Off-line testing has strict requirements for time and personnel allocation, especially in some sites where it can only be completed during nighttime or short power-off conditions, making it difficult for maintenance personnel to efficiently implement maintenance and testing. Online monitoring methods usually require installation of devices in a power-off state and require separate configuration for each circuit breaker, resulting in increased cost investment. At present, they are mainly used in new sites or key substations, and it is still difficult to achieve effective state perception and life assessment for old switches and large numbers of distribution network switches.

[0003] Among them, the digital-based movable circuit breaker operating mechanism monitoring device refers to a device that can be placed in the station DC screen cabinet before the power switch equipment is powered off, used to collect and record the state information of the circuit breaker operating mechanism in the jurisdiction area. The device covers displacement detection, action time measurement, contact signal collection, and digital recording of related data for all circuit breaker operating mechanisms controlled by the DC screen cabinet. Its specific methods include quantitative measurement of operating mechanism travel and action parameters through sensors, synchronous collection of circuit breaker contact opening and closing states through electrical signal interfaces, and centralized monitoring of multiple circuit breakers by one device through the connection of the movable structure and the DC screen cabinet.

[0004] The existing technology relies on off-line testing or separate configuration of online monitoring devices. Off-line testing requires a large amount of time and personnel, has poor timeliness, and can only be performed during specific periods, resulting in low efficiency of maintenance and testing. Online monitoring requires installation under power-off conditions, and each circuit breaker is configured with a separate device, increasing costs and not suitable for old equipment or distribution network switches. Detailed monitoring during device operation cannot be completed in real time, potential faults or deviations cannot be discovered in a timely manner, and the stability and safety of the system are affected. SUMMARY

[0005] The purpose of the present application is to solve the shortcomings in the prior art and to provide a digital-based movable circuit breaker operating mechanism monitoring device.

[0006] In order to achieve the above object, the present application adopts the following technical scheme: a movable circuit breaker operating mechanism monitoring device based on digitization, the system comprises, A multi-node signal acquisition module acquires force, speed, displacement, vibration, temperature and humidity, and frequency signals through measurement devices on key components of the circuit breaker, and classifies and integrates the data to generate multi-source signal data of the circuit breaker operation.

[0007] An impact force characteristic analysis module divides the impact process into three stages of initiation, action and recovery, extracts vibration characteristics of each stage, determines the impact area and its influence degree, and generates impact action area identification results.

[0008] An environmental influence correction module corrects vibration and force characteristics based on the impact action area identification results, eliminates high-frequency interference, adjusts vibration amplitude and propagation path, and generates impact area environmental correction signal characteristics.

[0009] An operation deviation adjustment module extracts vibration, force and speed signals according to the impact area environmental correction signal characteristics, combines the normal operation reference of the circuit breaker, corrects abnormal signals to meet the operation standard, and generates impact area operation state adjustment results.

[0010] An operation state evaluation module compares the corrected signals with the standard operation state of the circuit breaker according to the impact area operation state adjustment results, evaluates the coordination and stability of the action, and generates a circuit breaker operating mechanism state evaluation report.

[0011] As a further scheme of the present application, The multi-source signal data of the circuit breaker operation includes force signal distribution, speed change characteristics, displacement offset, vibration response characteristics, and environmental parameter records. The impact action area identification results include impact starting point positioning, vibration peak area, impact path range, and recovery end point marking. The impact area environmental correction signal characteristics include high-frequency interference elimination value, vibration amplitude correction amount, and propagation path correction curve. The impact area operation state adjustment results include abnormal area identification mark, signal adjustment reference value, and operation state recovery index. The circuit breaker operating mechanism state evaluation report includes action coordination score, operation stability level, action consistency evaluation, and standard state comparison result.

[0012] As a further scheme of the present application, the multi-node signal acquisition module comprises: The displacement detection sub-module is arranged at a key position of the circuit breaker operating mechanism, obtains speed data recorded by the speed monitoring device, displacement output by the displacement device and force captured by the force monitoring device, constructs a corresponding time path according to the speed and the displacement, identifies a displacement peak value section and a corresponding force change section, extracts a corresponding relationship of the two on a time axis, calculates a joint change amplitude of the displacement and the force, and generates a structure dynamic response coefficient; The environmental parameter acquisition sub-module obtains temperature, humidity and vibration frequency recorded by an environmental monitoring device according to the structure dynamic response coefficient, compares a coefficient change rate and an interval change of temperature and humidity fluctuation in the same period, selects a time interval with consistent fluctuation rhythm and response, calculates a frequency change value and an amplitude difference value in the interval, and generates an environmental interference coupling amount. The signal integration sub-module obtains original force, speed, displacement and vibration data recorded by various monitoring devices in combination with the environmental interference coupling amount, compares the interference coupling amount and original signals in amplitude and frequency according to a period, eliminates data sections with differences exceeding a threshold value, retains the signals according to types, calculates corresponding stable intervals and response change rates, and generates circuit breaker operation multi-source signal data.

[0013] As a further scheme of the present application, the impact force characteristic analysis module comprises: The stage identification sub-module obtains vibration signals in the circuit breaker operation multi-source signal data, combines amplitude sequences and frequency sequences in consecutive time periods, locates a position where the amplitude starts to fluctuate and a frequency continuous rising point, calculates an amplitude change rate and a frequency jump value at the time according to a cross point of the two on a time axis, and generates an impact starting time value. The peak extraction sub-module obtains amplitude sequences of the vibration signals in adjacent time periods according to the impact starting time value, filters continuous data sections exceeding a vibration intensity threshold value, finds a time point corresponding to a maximum frequency, combines a frequency increment and a duration of the section, calculates a corresponding intensity ratio and vibration density, and generates a peak intensity ratio. The region marking sub-module obtains frequency and amplitude sequences in subsequent time periods according to the peak intensity ratio, screens a position where a frequency descending speed exceeds a frequency convergence threshold value, marks an impact ending position in combination with a vibration density descending speed and an amplitude mutation point, calculates a time span and a frequency fluctuation interval of the section, and generates an impact action region identification result.

[0014] As a further scheme of the present application, the environmental influence correction module comprises: The interference elimination sub-module extracts vibration signal and environmental signal data of the corresponding region according to the impact area identification result, calculates energy values of each frequency band in the vibration signal, finds out a frequency band with an energy difference from the environmental noise energy exceeding a high-frequency interference threshold, and eliminates the frequency band from the original signal, and calculates a frequency band energy concentration degree and a frequency stability degree of the remaining signal, and generates an interference purification ratio; The amplitude correction sub-module obtains vibration amplitude data and temperature and humidity values in the same period based on the interference purification ratio, compares a deviation degree of a vibration amplitude change rate and a temperature and humidity fluctuation rate, calculates an amplitude deviation, and compares the amplitude deviation with an amplitude correction reference, adjusts the amplitude of a deviation paragraph to a reference range, records a correction amplitude of each paragraph, and generates a correction amplitude coefficient; The path adjustment sub-module obtains path coordinates and corresponding propagation times of the vibration signal based on the correction amplitude coefficient, calculates a propagation delay between adjacent coordinates and a change ratio of the corrected amplitude, finds out a node with a propagation delay greater than a path delay threshold, adjusts the order of the path coordinates in the section and calculates a propagation time difference before and after the adjustment, and generates an impact area environmental correction signal feature.

[0015] As a further scheme of the present application, the operation deviation adjustment module comprises: The signal extraction sub-module extracts continuous time period data of vibration, speed and force signals in the region based on the impact area environmental correction signal feature, calculates a change amplitude of each signal in the same time period, and calculates a consistency proportion of the amplitude change direction and the time sequence response, and generates a multi-source signal synchronization coefficient; The abnormality identification sub-module obtains amplitude ranges and synchronization reference values of various signals in the circuit breaker operation standard based on the multi-source signal synchronization coefficient, compares a difference between the synchronization coefficient and the reference value, identifies a signal segment deviating from the range and records an occurrence time, calculates a maximum deviation amplitude and a duration of the abnormal segment, and generates an operation deviation intensity value; The state adjustment sub-module obtains vibration, speed and force signals of the abnormal segment based on the operation deviation intensity value, judges a current amplitude change direction of the signals, calculates an amplitude difference between the signals and a standard interval, performs segmented correction on the signals and rearranges a time sequence of the corrected paragraphs, and generates an impact area operation state adjustment result.

[0016] As a further scheme of the present application, the operation state evaluation module comprises: The feature extraction sub-module extracts vibration, speed and force signals in a corresponding period of opening and closing based on the impact area operation state adjustment result, calculates amplitude change values and durations of the signals, compares fluctuation times and amplitude proximity degrees of the three types of signals in the same period, and generates an operation process signal coordination coefficient; The action matching submodule obtains the reference interval and signal coordination value in the standard action based on the signal coordination coefficient of the operation process, judges the difference between the current coefficient and the reference value, identifies the deviation segment and calculates the overlap ratio between the signal deviation trend and the standard trajectory, and generates the action process matching degree. The status assessment submodule divides inconsistent signal segments according to the matching degree of the action process, counts the number of occurrences and the offset amplitude, calculates the proportion of the signal in the stable range and the fluctuation amplitude range, and calculates the status score by combining the matching situation of each segment to generate the status assessment result of the circuit breaker operating mechanism.

[0017] Compared with the prior art, the advantages and positive effects of the present invention are as follows: This invention utilizes multiple sensors to collect displacement, force, velocity, and vibration signals during circuit breaker operation in real time, enabling comprehensive and accurate analysis of the equipment's status. Phased analysis of vibration and force signals divides the impact process into three stages: initiation, action, and recovery, precisely locating the impact-affected area. Environmental data correction effectively eliminates interference from temperature and humidity changes on vibration signals, adjusting signal characteristics and ensuring accuracy. Furthermore, based on signal deviations, the equipment's operating status is adjusted to return to the standard range, thereby reducing abnormal areas and fault risks. Through real-time monitoring and signal correction, the circuit breaker's operating status can be accurately assessed, improving equipment stability and reliability and reducing the occurrence of faults. Attached Figure Description

[0018] Figure 1 This is a flowchart of the method of the present invention; Figure 2 This is a flowchart illustrating the acquisition process of the multi-node signal acquisition module of the present invention. Figure 3 This is a flowchart illustrating the acquisition process of the impact force characteristic analysis module of the present invention. Figure 4 This is a flowchart illustrating the acquisition process of the environmental impact correction module of the present invention. Figure 5 This is a flowchart illustrating the acquisition process of the operational deviation adjustment module of the present invention. Figure 6 This is a flowchart of the operation status evaluation module of the present invention. Detailed Implementation

[0019] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0020] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0021] In order to make the technical problems, technical solutions and advantages to be solved by the present application clearer, specific embodiments will be described in detail below with reference to the drawings.

[0022] Please refer to Figure 1 The present application provides a technical solution: a digital-based movable circuit breaker operating mechanism monitoring device, the system includes: The multi-node signal acquisition module arranges measurement devices on key components of the circuit breaker operating mechanism, records force changes through the force monitoring device, captures movement speed through the speed monitoring device, obtains offset conditions through the displacement device, tracks vibration amplitude and path through the vibration monitoring device, and collects data such as temperature, humidity, and vibration frequency through the environmental monitoring equipment. The collected results are classified and integrated according to mechanical signals and environmental signals to generate circuit breaker operation multi-source signal data;

[0023] The impact force characteristic analysis module divides the impact process into three stages of initiation, action, and recovery based on the vibration signals in the circuit breaker operation multi-source signal data. The starting point of the impact is located by extracting the signal characteristics of the initiation stage, the vibration peak value and the action area are identified by extracting the signal of the action stage, and the vibration endpoint path is marked by extracting the signal of the recovery stage. By combining the signal characteristics of the stages, the impact influence is analyzed and the key areas are marked to generate impact action area identification results;

[0024] The environmental influence correction module corrects the force signals of the key areas based on the impact action area identification results and the environmental signals. The high-frequency interference in the vibration data is removed, the vibration amplitude and propagation characteristics are adjusted to reduce the error caused by temperature and humidity changes, the vibration amplitude and path signal characteristics are reprocessed, and the impact area environmental correction signal characteristics are generated;

[0025] The running deviation adjustment module extracts the vibration, force, and speed signals in the area based on the impact area environmental correction signal characteristics, identifies the abnormal areas that deviate from the normal operation range of the circuit breaker. The deviation area is adjusted by combining the correction signals to restore the signals to the operation standard range, and the impact area operation state adjustment result is generated;

[0026] The operation state evaluation module extracts the adjusted signal characteristics based on the impact area operation state adjustment result, compares the signal characteristics with the standard opening and closing action state of the circuit breaker, analyzes the coordination and stability of the signal in the action process. The operation state of the circuit breaker is comprehensively evaluated to determine whether it meets the design requirements, and a circuit breaker operating mechanism state evaluation report is generated.

[0027] The circuit breaker operation multi-source signal data includes force signal distribution, speed change characteristics, displacement offset, vibration response characteristics, and environmental parameter records. The impact action area identification results include impact starting point positioning, vibration peak area, impact path range, and recovery end point marking. The impact area environment correction signal characteristics include high-frequency interference elimination values, vibration amplitude correction values, and propagation path correction curves. The impact area operation state adjustment results include abnormal area identification marks, signal adjustment reference values, and operation state recovery indicators. The circuit breaker operating mechanism state evaluation report includes action coordination evaluation, operation stability level, action consistency evaluation, and standard state comparison results.

[0028] Please refer to Figure 2 The multi-node signal acquisition module includes: A displacement detection sub-module: measurement devices are arranged at key positions of the circuit breaker operating mechanism to obtain speed data recorded by a speed monitoring device, offset values output by a displacement device, and force values captured by a force monitoring device. According to the speed and displacement, a corresponding time path is constructed, the offset peak section and the corresponding force change section are identified, the corresponding relationship of the two on the time axis is extracted, the joint change amplitude of the offset and the force is calculated, and a structure dynamic response coefficient is generated. Measurement devices are arranged at key positions of the circuit breaker operating mechanism to obtain speed data recorded by a speed monitoring device, offset values output by a displacement device, and force values captured by a force monitoring device. In a specific implementation, the synchronous data collected by the laser displacement sensor, the rotary encoder type speed sensor, and the piezoelectric force sensor disposed on the operating mechanism main drive shaft during a complete closing operation (0-100 milliseconds) is retrieved, for example, at 60 milliseconds, the maximum offset is 55 mm, and the corresponding force is 1250 N. At 70 milliseconds, the offset is 52 mm, and the force is 1450 N. According to the time and speed data, a speed-time path is constructed. According to the time and displacement data, a displacement-time path is constructed. By traversing the data of the displacement-time path, it is identified that the maximum offset of 55 mm occurs at 60 milliseconds, and the section of 49.5 mm to 55 mm, which is 90% of the offset equal to or greater than 55 mm, is defined as the offset peak section. The time interval of this section is 52 milliseconds to 68 milliseconds. Then, the force values captured by the force monitoring device in this time interval are retrieved and locked, which linearly increases from 950 N to 1430 N. This range is the corresponding force change section. On this basis, the precise correspondence of the offset peak section and the force change section on the common time axis of 52 milliseconds to 68 milliseconds is extracted, and the joint change amplitude of the offset and the force is calculated. The calculation process is as follows: the maximum offset The change rate of the force is calculated again is multiplied by , that is , to generate a structure dynamic response coefficient.​

[0029] The environmental parameter acquisition submodule: according to the structural dynamic response coefficient, the temperature, humidity and vibration frequency recorded by the environmental monitoring equipment are obtained, the interval change of the coefficient change rate and the temperature and humidity fluctuation in the same period is compared, the time interval with consistent fluctuation rhythm and response is screened out, the frequency change value and the amplitude difference value in the interval are calculated, and the environmental interference coupling quantity is generated; According to the structural dynamic response coefficient 1650, the temperature, humidity and external vibration frequency recorded by the environmental monitoring equipment in the same operation period are obtained, specifically, the data collected by the temperature and humidity sensor in the mechanism box and the acceleration sensor on the box shell are called, for example, in the next five operation periods, the coefficient and the environmental parameters are: period 1 (coefficient 1650, temperature 22℃, humidity 60%RH, frequency 4.2Hz), period 2 (coefficient 1685, temperature 25℃, humidity 65%RH, frequency 4.5Hz), period 3 (coefficient 1710, temperature 28℃, humidity 68%RH, frequency 6.0Hz) and so on, in order to screen out the time interval with consistent fluctuation rhythm and response, a correlation determination threshold is set, the threshold refers to the average value 0.12 and the standard deviation 0.08 of the Pearson correlation coefficient of the coefficient change rate and the comprehensive fluctuation rate of temperature and humidity (temperature weight 0.6, humidity weight 0.4) of 300 times of standard environmental operation data in history, the threshold is set to , the coefficient change rate and the interval change rate of temperature and humidity of each period are calculated one by one, and the Pearson correlation coefficient between them is calculated, for example, comparing period 2 and period 3, the calculated correlation coefficient is 0.85, which is greater than the threshold value 0.36, therefore, the time interval from period 2 to period 3 is screened out, on the contrary, the correlation coefficient from period 1 to period 2 is 0.21, which is less than 0.36, this interval is discarded, in the screened time interval, the external vibration frequency change value is extracted, that is, from 4.5 Hz to 6.0 Hz, the change value is 1.5 Hz, at the same time, the vibration amplitude value is extracted, which increases from 0.25 mm to 0.31 mm, the amplitude difference value is 0.06 mm, the frequency change value and the amplitude difference value are weighted and coupled, the weight is determined according to the special experiment, and is set to frequency weight , amplitude weight , the calculated value is , and the environmental interference coupling quantity is generated.

[0030] The signal integration submodule: combined with the environmental interference coupling quantity, the original force, speed, displacement and vibration data recorded by various monitoring devices are obtained, the amplitude and frequency of the interference coupling quantity and the original signal are compared according to the period, the data section with difference exceeding the threshold value is eliminated, the remaining signal is collected according to the type, the corresponding stable interval and response change rate are calculated, and the circuit breaker operation multi-source signal data is generated.

[0031] The original force, speed, displacement and vibration data recorded by various monitoring devices are obtained in combination with the environmental interference coupling amount 0.852. In the specific implementation, a data section difference threshold is set, the threshold is referenced to the average value 0.15 and the standard deviation 0.04 of the absolute difference between the environmental interference coupling amount and the original signal fluctuation amount (the normalized and weighted comprehensive index of amplitude and frequency) in 100 groups of operation data without significant environmental changes, and the difference threshold is set to Then, the environmental interference coupling amount 0.852 is compared with the amplitude and frequency of the original signal in a period of 10 milliseconds. For example, in the 30-40 millisecond period, the original vibration main frequency is 5.8 Hz, the average amplitude is 0.30 mm, and the force change rate is 28000 N / s. The original signal comprehensive fluctuation amount of the section is calculated by preset weight (vibration frequency weight 0.1, vibration amplitude weight 1.5, and force change rate weight 0.00002) as The difference between the value and the environmental interference coupling amount 0.852 is which is greater than the threshold 0.23, so it is determined that the section has abnormal interference and is rejected. In the 40-50 millisecond period, the original signal comprehensive fluctuation amount calculated is 0.98, and the difference between it and 0.852 is 0.128, which is less than the threshold 0.23, so the section data is retained. After the original data of all periods are rejected, the retained signals are collected according to types, and the stable interval and response change rate of each type of signal are calculated. Taking the force signal as an example, the standard deviation in the sliding window (5 data points) is calculated to identify the longest continuous section whose standard deviation is less than 5% of the average value of all data, which is defined as the stable interval [15 milliseconds, 25 milliseconds]. The linear fitting slope of the signal in the main action stage (for example, [30 milliseconds, 60 milliseconds]) is calculated to obtain the response change rate of 29500 N / s. All types of signals and their corresponding stable intervals and response change rates are integrated to generate the circuit breaker operation multi-source signal data.

[0032] Please refer to Figure 3 The impact force characteristic analysis module includes: The phase identification submodule obtains the vibration signal in the circuit breaker operation multi-source signal data, combines the amplitude sequence and the frequency sequence in the continuous period, locates the position where the amplitude starts to fluctuate and the point where the frequency continues to rise, calculates the amplitude change rate and the frequency jump amount at the intersection point on the time axis, and generates the impact starting point time value. The vibration signal from the multi-source signal data of the circuit breaker operation includes amplitude and frequency sequences over a continuous time period. In specific implementation, the average amplitude of the vibration baseline is set to 0.01 mm and the average frequency to 2.5 Hz. Simultaneously, an amplitude fluctuation initiation threshold of 0.001 mm (10% of the baseline average amplitude) and a frequency rise initiation threshold of 0.125 Hz (5% of the baseline average frequency) are set. The amplitude sequence is scanned point-by-point from the start of the vibration signal (e.g., 0 ms). When the amplitude of five consecutive data points remains above 0.011 mm, the first time the condition is met (e.g., 15 ms) is marked as the start of amplitude fluctuation. Next, the frequency sequence is scanned point by point. When the frequency rises continuously by more than 0.125 Hz / point for five consecutive data points, the first time that meets the condition (e.g., 18 milliseconds) is marked as the point of continuous frequency rise. Then, based on the intersection of the amplitude fluctuation point at 15 milliseconds and the continuous frequency rise point at 18 milliseconds on the time axis (taking the later 18 milliseconds), the amplitude change rate and frequency jump variable at that moment are calculated. The amplitude change rate is calculated as follows: the difference between the average amplitude of 0.0105 mm in the 10 milliseconds before 18 milliseconds and the average amplitude of 0.0325 mm in the 10 milliseconds after 18 milliseconds, divided by the time span of 20 milliseconds, is obtained. The frequency jump variable is calculated as follows: the difference between the average frequency of 2.65 Hz in the first 5 milliseconds of the 18 milliseconds and the average frequency of 3.15 Hz in the last 5 milliseconds of the 18 milliseconds, i.e. The time value for generating the impact start point is 18 milliseconds.

[0033] Peak Extraction Submodule: Based on the impact start time value, obtain the amplitude sequence of vibration signals in adjacent time periods, filter continuous data segments that exceed the vibration intensity threshold, find the time point corresponding to the maximum frequency, and calculate the corresponding intensity ratio and vibration density by combining the frequency increment and the duration of the segment, and generate the peak intensity ratio. Based on the impact starting point time value 18 milliseconds, the amplitude sequence of the vibration signal in the adjacent period is obtained. In specific implementation, the vibration amplitude data is read with a 5-millisecond window sliding from 18 milliseconds. Then, the continuous data segment exceeding the vibration intensity threshold is screened. The vibration intensity threshold is set to be 2 times of the upper limit of the vibration amplitude of the normal (non-impact) circuit breaker operation (for example, the upper limit of the 99% confidence interval is 0.02 millimeters through statistics of 100 normal operation data), that is, 0.04 millimeters. The data points in the amplitude sequence are checked one by one, and all continuous data segments with an amplitude greater than 0.04 millimeters are screened out, for example, the segment from 20 milliseconds to 60 milliseconds. The time point corresponding to the maximum frequency is found in the continuous data segment, for example, the time point corresponding to the maximum frequency 9.1 hertz is 58 milliseconds. The strength ratio and the vibration density degree are calculated in combination with the frequency increment and the duration of the segment. The strength ratio is calculated as the ratio of the maximum frequency to the starting frequency , and the vibration density degree is calculated as the frequency increment divided by the duration , and the peak strength ratio 2.22 is generated.

[0034] The region marking sub-module: according to the peak strength ratio, the frequency and amplitude sequence in the subsequent time period are obtained, the position where the frequency drop speed exceeds the frequency convergence threshold is screened, the impact end position is marked in combination with the vibration density drop speed and the amplitude mutation point, the time span and the frequency fluctuation interval of the segment are calculated, and the impact action region identification result is generated.

[0035] According to the peak strength ratio 2.22, the frequency and amplitude sequence in the subsequent time period are obtained. In specific implementation, data is read with a 10-millisecond period from the time point (for example, 58 milliseconds) corresponding to the peak strength ratio. The position where the frequency drop speed exceeds the frequency convergence threshold is screened. The frequency convergence threshold is set to be 180 hertz / second (through analysis of the vibration signal after 100 typical impacts, 1.2 times of the average value 150 hertz / second of the frequency drop rate). The frequency drop speed is calculated point by point from 58 milliseconds, for example, from 70 milliseconds to 80 milliseconds, the frequency drops from 8.0 hertz to 6.0 hertz, and the drop speed is , the value exceeds the threshold of 180 Hz / s, so 70 ms is marked as the position where the frequency drop speed exceeds the threshold, combined with the vibration density drop speed and the amplitude mutation point, the vibration density drop speed is calculated by the drop of the number of vibration events per unit time during 70 ms to 80 ms, for example, from an average of 0.5 events per millisecond to 0.2 events, the drop speed is 30 events / s, and the amplitude mutation point is determined by the fact that the amplitude change rate of the three consecutive data points exceeds 3 times the amplitude change rate of the previous three data points, for example, the amplitude at 75 ms suddenly drops from 0.2 mm to 0.05 mm, the change rate reaches 25000 mm / s, combining these information, the impact end position is marked as 78 ms, the time span and the frequency fluctuation interval are calculated, the time span is from the impact start point 18 ms to the impact end point 78 ms, i.e. , the frequency fluctuation interval is the minimum value 2.5 Hz to the maximum value 9.1 Hz of the frequency in this period, and the impact action area recognition result is generated.

[0036] Please refer to Figure 4 , the environmental influence correction module includes: The interference elimination submodule extracts the vibration signal and the environmental signal data corresponding to the region according to the impact action area recognition result, calculates the energy value of each frequency band in the vibration signal, finds out the frequency band whose energy difference with the environmental noise energy exceeds the high-frequency interference threshold, and eliminates it from the original signal, and calculates the frequency stability degree and the frequency band energy concentration degree of the remaining signal, and generates the interference purification rate. According to the impact area identification result, the vibration signal and environmental signal data of the corresponding area are extracted. In specific implementation, according to the time span from the impact starting point 18 milliseconds to the ending point 78 milliseconds and the frequency fluctuation interval of 2.5 Hz to 9.1 Hz, the vibration signal and environmental noise signal within 60 milliseconds are synchronously acquired from the original sensor data. The acquired vibration signal data is decomposed into multiple frequency bands through short-time Fourier transform, and the energy values of each frequency band are calculated. For example, the vibration signal data is divided into four frequency bands of 0-20 Hz, 20-50 Hz, 50-100 Hz, and 100-200 Hz. Within a time window of 20-30 milliseconds, the vibration energy of the 0-20 Hz frequency band is 0.005 joules, the 20-50 Hz frequency band is 0.015 joules, the 50-100 Hz frequency band is 0.030 joules, and the 100-200 Hz frequency band is 0.008 joules. At the same time, the same frequency band energy calculation is performed on the synchronously acquired environmental noise signal. Within the same time window, the 0-20 Hz frequency band environmental noise energy is 0.004 joules, the 20-50 Hz frequency band is 0.006 joules, the 50-100 Hz frequency band is 0.002 joules, and the 100-200 Hz frequency band is 0.007 joules. Then, the frequency band with an energy difference exceeding the high-frequency interference threshold from the environmental noise energy is found. The high-frequency interference threshold is set according to the historical vibration data analysis results of 1000 circuit breakers under different environmental noise conditions. The threshold is set to be the average difference of the environmental noise and the actual vibration signal energy in each frequency band plus three times the standard deviation. For example, in the 100-200 Hz frequency band, the average energy difference is 0.001 joules, the standard deviation is 0.0005 joules, and the high-frequency interference threshold is set to joules. The difference between the vibration signal energy and the environmental noise energy in each frequency band is compared one by one. For example, in the 100-200 Hz frequency band, the vibration energy is 0.008 joules, the environmental noise energy is 0.007 joules, and the difference is joules, which is less than the threshold of 0.0025 joules, indicating that the difference in this frequency band is within the normal range, so this frequency band is not excluded. If a frequency band energy difference exceeding 0.0025 joules is found in other time windows, for example, the energy difference of a certain 50-100 Hz frequency band reaches 0.047 joules, then this frequency band is marked as a high-frequency interference frequency band, and its energy component is excluded from the original vibration signal. The frequency band energy concentration and frequency stability of the remaining signal are calculated. The frequency band energy concentration is calculated as the sum of the energy of the top three frequency bands in the remaining signal accounting for the total energy of all remaining frequency bands. For example, if the total energy of the remaining signal is 0.025 joules and the sum of the energy of the top three frequency bands is 0.02 joules, then the concentration is , the frequency stability degree is calculated as the standard deviation of the center frequencies of the three main energy bands, for example, if the center frequencies of the three bands are 35 Hz, 65 Hz and 85 Hz, the standard deviation is Hz, and the interference purification ratio is generated.

[0037] The amplitude correction sub-module: based on the interference purification ratio, the vibration amplitude data and the temperature and humidity values in the same period are obtained, the deviation degree of the vibration amplitude change rate and the temperature and humidity fluctuation rate is compared, the amplitude offset is calculated and compared with the amplitude correction reference, the amplitude of the deviation section is adjusted to the reference range, the correction amplitude of each section is recorded, and the correction amplitude coefficient is generated; Based on the interference purification ratio, the vibration amplitude data and the temperature and humidity values in the same period are obtained. In specific implementation, from the period (for example, 20 milliseconds to 70 milliseconds) after the interference is removed from the vibration signal, the vibration amplitude data sequence in the period and the temperature and humidity sensor data recorded by the environmental monitoring equipment are synchronously extracted, for example, at 20 milliseconds, the vibration amplitude is 0.045 millimeters, the temperature is 25.1℃, and the humidity is 62.3%RH; at 30 milliseconds, the vibration amplitude is 0.058 millimeters, the temperature is 25.2℃, and the humidity is 62.5%RH; at 40 milliseconds, the vibration amplitude is 0.072 millimeters, the temperature is 25.4℃, and the humidity is 62.8%RH; at 50 milliseconds, the vibration amplitude is 0.085 millimeters, the temperature is 25.5℃, and the humidity is 63.0%RH; at 60 milliseconds, the vibration amplitude is 0.090 millimeters, the temperature is 25.7℃, and the humidity is 63.2%RH; at 70 milliseconds, the vibration amplitude is 0.078 millimeters, the temperature is 25.8℃, and the humidity is 63.3%RH, the deviation degree of the vibration amplitude change rate and the temperature and humidity fluctuation rate is compared, the vibration amplitude change rate is calculated as the amplitude difference between two consecutive data points divided by the time interval, for example, between 30 milliseconds and 40 milliseconds, the vibration amplitude change rate is , the temperature and humidity fluctuation rate is obtained by weighted average of the temperature fluctuation rate and the humidity fluctuation rate, the weight is determined by historical experiment, and is set to temperature weight 0.6 and humidity weight 0.4, for example, between 30 milliseconds and 40 milliseconds, the temperature fluctuation rate is , the humidity fluctuation rate is , and the temperature and humidity fluctuation rate is , the deviation degree is measured by calculating the absolute difference between the ratio of the vibration amplitude change rate and the temperature and humidity fluctuation rate and the preset normal ratio (e.g. 0.2), if the absolute difference exceeds the deviation threshold (e.g. 0.05), it is determined as a deviation paragraph, the amplitude offset is calculated and compared with the amplitude correction reference, the amplitude correction reference is calculated by analyzing the vibration amplitude data of the circuit breaker under 100 standard operating conditions (temperature 20±2℃, humidity 60±5%RH), the average amplitude at each time point is taken as the reference amplitude sequence, for example, at 30 milliseconds, the reference amplitude is 0.056 millimeters, the amplitude offset is calculated as the difference between the current vibration amplitude and the amplitude correction reference at the corresponding time point, for example, at 30 milliseconds, the vibration amplitude is 0.058 millimeters, the amplitude offset is , if the amplitude offset of a paragraph causes its deviation degree to exceed the threshold, the vibration amplitude of that paragraph is adjusted to the amplitude correction reference value, the correction amplitude of each paragraph is recorded, and the correction amplitude coefficient is generated.

[0038] Path adjustment submodule: according to the correction amplitude coefficient, the path coordinates and corresponding propagation time of the vibration signal are obtained, the propagation delay between adjacent coordinates and the change ratio of the corrected amplitude are calculated, the nodes with propagation delay greater than the path delay threshold are found out, the path coordinate sequence of the section is adjusted and the propagation time difference before and after adjustment is calculated, and the impact area environment correction signal feature is generated.

[0039] According to the correction amplitude coefficient, the path coordinates and corresponding propagation time of the vibration signal are obtained, in specific implementation, the position coordinates (e.g. P1, P2, P3, P4) of each sensor on the propagation path of the circuit breaker structure and the corresponding propagation time of the vibration signal to these coordinate points are extracted from the corrected vibration signal, for example, P1(0,0,0) detects the signal at 0 milliseconds, P2(100,0,0) detects the signal at 1.2 milliseconds, P3(100,50,0) detects the signal at 1.8 milliseconds, and P4(0,50,0) detects the signal at 2.5 milliseconds, the propagation delay between adjacent coordinates and the change ratio of the corrected amplitude are calculated, the propagation delay is calculated as the propagation time difference between two adjacent coordinate points, for example, the propagation delay from P1 to P2 is , the propagation delay from P2 to P3 is , the change ratio of the corrected amplitude is calculated as the ratio of the corrected amplitude at the next coordinate point to the corrected amplitude at the previous coordinate point, for example, the corrected amplitude at P1 is 0.5 millimeters, the corrected amplitude at P2 is 0.4 millimeters, and the change ratio from P1 to P2 is , then, the nodes with propagation delay greater than the path delay threshold are found out, the path delay threshold is set with reference to the statistical results of the vibration signal propagation delay on the structure during 200 normal operations of the circuit breaker, the threshold is set to 1.5 times the average propagation delay, for example, the average propagation delay is 0.8 milliseconds, and the path delay threshold is set to , compare the propagation delay between each adjacent coordinate with the threshold value of 1.2 milliseconds one by one, for example, the propagation delay from P1 to P2 is 1.2 milliseconds, which is not greater than the threshold value, but if P4 (0, 50, 0) detects a signal at 2.5 milliseconds and P5 (0, 50, 100) detects a signal at 4.0 milliseconds, then the propagation delay from P4 to P5 is , which is greater than the path delay threshold value of 1.2 milliseconds, so P4 is marked as a node with a propagation delay greater than the threshold value, the order of the path coordinates in this section is adjusted and the propagation time difference before and after the adjustment is calculated, for example, if the propagation delay from P4 to P5 is too large, it is determined that the more reasonable propagation path should be P4 directly to P6 (0, 50, 50) and then to P5, the coordinate order is adjusted to P1-P2-P3-P4-P6-P5, and the propagation time difference after adjustment is calculated, for example, the original path P4-P5 time difference is 1.5 milliseconds, after adjustment to P4-P6 (0.5 milliseconds) and P6-P5 (0.7 milliseconds), the total time difference is , the propagation time difference before and after adjustment is , and the impact area environment correction signal feature is generated.

[0040] Please refer to Figure 5 , the running deviation adjustment module comprises: A signal extraction submodule: based on the impact area environment correction signal feature, extract the continuous time period data of vibration, speed and force signals in the region, calculate the change amplitude of each signal in the same time period, and calculate the consistency proportion of the amplitude change direction and time sequence response, and generate a multi-source signal synchronization coefficient; According to the impact area environment correction signal feature, the continuous time period data of vibration, speed and force signals in the region is extracted, and in the specific operation, according to the corrected impact area environment correction signal feature, the time range is determined as 18 milliseconds to 78 milliseconds, and the vibration, speed and force signal data collected by the sensor in this 60 milliseconds time range and after environment correction processing are synchronously acquired, for example, at 20 milliseconds, the corrected vibration amplitude is 0.05 millimeters, the speed value is 0.8 meters per second, and the force value is 15 newtons; at 21 milliseconds, the vibration amplitude is 0.052 millimeters, the speed value is 0.82 meters per second, and the force value is 15.5 newtons; at 22 milliseconds, the vibration amplitude is 0.055 millimeters, the speed value is 0.85 meters per second, and the force value is 16 newtons, the change amplitude of each signal in the preset 1 millisecond time period is calculated, which is the absolute value of the difference between the signal values in the period, for example, in the 20 milliseconds to 21 milliseconds period, the vibration signal change amplitude is , the speed signal change amplitude is , and the force signal change amplitude is ; in the 21 milliseconds to 22 milliseconds period, the vibration signal change amplitude is , the speed signal change amplitude is , the amplitude of force signal change Then, the consistency proportion of the amplitude change direction and the time sequence response is calculated. The determination rule of the amplitude change direction is that the signal value at the next moment is marked as positive (+1) if it is greater than the signal value at the previous moment, marked as negative (-1) if it is less than the signal value at the previous moment, and marked as zero (0) if it is equal to the signal value at the previous moment. The calculation method of the consistency proportion is that the number of periods in which all signal change directions are the same in the continuous period is counted, and the percentage of the number of periods in which all signal change directions are the same in the total number of periods is calculated. For example, in the 5 one-millisecond time periods from 20 milliseconds to 25 milliseconds, if the signal change directions of 3 periods (such as 20-21 milliseconds, 22-23 milliseconds, and 23-24 milliseconds) are the same, the consistency proportion is Thus, the multi-source signal synchronization coefficient is 0.6.

[0041] The abnormality identification submodule: according to the multi-source signal synchronization coefficient, the amplitude range and the synchronization reference value of each type of signal in the circuit breaker operation standard are obtained, the difference between the synchronization coefficient and the reference value is compared, the signal segment deviating from the range is identified and the occurrence time is recorded, the maximum deviation amplitude and the continuous period of the abnormal segment are calculated, and the operation deviation intensity value is generated. According to the multi-source signal synchronization coefficient, the amplitude range and the synchronization reference value of each type of signal in the circuit breaker operation standard are obtained. In the specific operation, the normal amplitude range of the vibration signal is obtained by referring to the circuit breaker manufacturer's specification and IEC62271-100 standard file, which is 0.01 millimeter to 0.1 millimeter, the speed signal is 0.5 meters per second to 1.5 meters per second, and the force signal is 10 newtons to 30 newtons. At the same time, through statistical analysis of 1000 times of fault-free circuit breaker operation historical data, the synchronization reference value of each type of signal is obtained, for example, the synchronization reference value between the vibration and the speed signal is 0.85, the synchronization reference value between the vibration and the force signal is 0.80, and the synchronization reference value between the speed and the force signal is 0.90. The comprehensive synchronization reference value of the circuit breaker is 0.82. The difference between the current synchronization coefficient and the reference value is obtained by calculating the absolute value of the difference between the current multi-source signal synchronization coefficient and the corresponding comprehensive synchronization reference value. For example, the synchronization coefficient calculated in the foregoing is 0.6, the comprehensive synchronization reference value is 0.82, and the difference is , then the signal segment deviating from the range is identified and the occurrence time is recorded, the deviation range is determined by the difference between the synchronization coefficient and the reference value exceeding the synchronization deviation threshold, the synchronization deviation threshold is set according to the analysis result of 5000 historical operation data, and the synchronization deviation threshold is set as 0.15, for example, the current difference is 0.22, which is greater than the synchronization deviation threshold 0.15, so it is identified as a deviation range, and the time period of its occurrence is recorded as 20-25 milliseconds, the maximum deviation amplitude and the duration of the abnormal segment are calculated, the maximum deviation amplitude is the maximum difference between the actual amplitude of the signal in the deviation segment and the boundary of the standard amplitude range, for example, if the actual vibration amplitude is 0.12 mm at 23 ms, and the upper limit of the standard amplitude is 0.1 mm, then the maximum deviation amplitude is , the duration is the total length from the start to the end of the deviation segment, for example, if the deviation segment falls from 20 ms to 25 ms, then the duration is , and the running deviation intensity value is 0.02 mm / 5 ms.

[0042] State adjustment submodule: according to the running deviation intensity value, the vibration, speed and force signals of the abnormal segment are obtained, the current amplitude change direction is judged, the amplitude difference between the standard interval is calculated, the signals are segmented and corrected, and the time sequence of the corrected segment is rearranged to generate the impact area running state adjustment result.

[0043] According to the running deviation intensity value, the vibration, speed and force signals of the abnormal segment are obtained, and in specific operation, the running deviation intensity value (for example, 0.02 mm / 5 ms) is used to determine the abnormal time period as 20-25 ms, and the vibration, speed and force signal data in this time period are accurately extracted from the original sensor data, for example, in the abnormal segment 20-25 ms, the extracted vibration amplitude sequence is [0.05, 0.052, 0.055, 0.08, 0.12] mm, the speed sequence is [0.8, 0.82, 0.85, 1.0, 1.1] m / s, and the force sequence is [15, 15.5, 16, 18, 20] Newton, the current amplitude change direction is judged, and the judgment method is to compare the signal values of two consecutive points, if the latter time value is greater than the former time value, it is marked as positive, if it is less than the former time value, it is marked as negative, and if it is equal, it is marked as zero, for example, the vibration signal is positive in the direction of 20-21 ms ( ), and also positive in the direction of 21-22 ms ( ), then the amplitude difference between the actual signal instantaneous amplitude and the upper and lower limits of the standard amplitude interval is calculated, and the standard amplitude interval is obtained by statistical analysis of 500 normal operating state circuit breaker signal data, and the 99.7% confidence interval is calculated, for example, at 23 milliseconds, the standard interval of the vibration signal is 0.06mm to 0.08mm, and the actual vibration amplitude is 0.08mm, so the amplitude difference is If the actual vibration amplitude is 0.12mm, the difference from the upper limit of the standard interval is The time sequence of the modified paragraphs is rearranged, and the segmented correction operation is as follows: if the signal amplitude exceeds the standard interval, it is adjusted to the nearest standard interval boundary value, for example, if the vibration amplitude 0.12mm exceeds the standard interval of 0.06mm to 0.08mm, it is corrected to 0.08mm. After correction, the time sequence of the modified paragraphs is rearranged according to the time sequence relationship of each signal to ensure that the corrected signal maintains a reasonable physical causal relationship, thereby generating the impact area operating state adjustment result.

[0044] Please refer to Figure 6 The operating state evaluation module includes: The feature extraction submodule extracts the vibration, speed and force signals in the closing and opening period based on the impact area operating state adjustment result, calculates the amplitude change value and duration of each signal, compares the fluctuation time and amplitude proximity of the three types of signals in the same period, and generates the operation process signal coordination coefficient; According to the adjustment result of the impact area operating state, the vibration, speed and force signals sampled at a frequency of 10kHz are extracted within the determined closing and opening period (such as closing: 50 to 150 milliseconds). Then the amplitude change value and duration of each signal are calculated, for example, if the vibration signal changes from 0.08mm to a peak value of 0.093mm in 6 milliseconds at the closing time, the amplitude change value is 0.013mm and the duration is 6 milliseconds. To quantify the synchronization of the three types of signals, the fluctuation time and the normalized amplitude proximity need to be further compared, and the operation process signal coordination coefficient is obtained by calculating the inverse of the average amplitude difference of the normalized signal in a 10ms window. The operation process signal coordination coefficient is 50.

[0045] The action matching submodule obtains the reference interval and signal coordination value in the standard action according to the operation process signal coordination coefficient, judges the difference between the current coefficient and the reference value, identifies the deviation section, calculates the coincidence ratio of the signal deviation trend and the standard trajectory, and generates the action process matching degree. The operation process signal coordination coefficient 50 is called, and the reference benchmark is retrieved from the circuit breaker standard database, including the standard signal coordination value 45 and the signal reference interval (such as vibration: 0.01 to 0.1mm). The difference value 5 (i.e. ), which does not exceed the deviation threshold 6.75 set according to historical data, indicating that the signal coordination of this section is normal. If the difference value calculated in other periods exceeds the threshold, the corresponding period is identified as a deviation section. On this basis, by calculating the percentage of the overlapping area of the actual signal curve in the deviation section and the total area of the standard curve, the action process matching degree of this operation is obtained as 80%.

[0046] The state evaluation submodule: according to the action process matching degree, the inconsistent signal section is divided, the number of occurrences and the offset amplitude are counted, the proportion of the signal in the stable interval and the fluctuation amplitude range are calculated, the state score is calculated combined with the matching situation of each section, and the circuit breaker operating mechanism state evaluation result is generated.

[0047] Based on the action process matching degree of 80%, the state is evaluated. Since the value is lower than the 90% matching degree threshold set according to historical fault data, the corresponding deviation section is divided into an inconsistent signal section. The system will count the number of occurrences of this section (1 time), the maximum offset amplitude (0.04 millimeters), and calculate the signal stable duration ratio after operation (30%) and the fluctuation range (0.004 millimeters). These parameters, including the inconsistent section ratio 0.1, the total offset amplitude 0.04, etc., are substituted into the state score formula: The calculated score is 0.8076, which is lower than the health benchmark value 0.85, and the circuit breaker operating mechanism state evaluation result is generated accordingly.

[0048] The above is only a specific embodiment of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical scope disclosed by the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A digitized movable circuit breaker operating mechanism monitoring device, characterized by, The system comprises: A multi-node signal acquisition module acquires force, speed, displacement, vibration, temperature and humidity, and frequency signals through measuring devices on the key components of the circuit breaker, and classifies and integrates the data to generate circuit breaker operation multi-source signal data; An impact force characteristic analysis module calls the circuit breaker operation multi-source signal data, divides the impact process into three stages of initiation, action and recovery, extracts the vibration characteristics of each stage, determines the impact area and its influence degree, and generates an impact action area identification result; An environmental influence correction module corrects the vibration and force characteristics based on the impact action area identification result, eliminates high-frequency interference, adjusts the vibration amplitude and propagation path, and generates impact area environmental correction signal characteristics; An operation deviation adjustment module extracts vibration, force and speed signals according to the impact area environmental correction signal characteristics, corrects abnormal signals in combination with the normal operation reference of the circuit breaker to make them meet the operation standard, and generates an impact area operation state adjustment result; An operating state evaluation module compares the corrected signals with the standard operation state of the circuit breaker according to the impact area operation state adjustment result, evaluates the coordination and stability of the action, and generates a circuit breaker operating mechanism state evaluation report.

2. The digital-based movable circuit breaker operating mechanism monitoring device according to claim 1, characterized in that: The circuit breaker operation multi-source signal data includes force signal distribution, speed change characteristics, displacement offset, vibration response characteristics, and environmental parameter records; The impact action area identification result includes impact starting point positioning, vibration peak area, impact path range, and recovery end point marking; The impact area environmental correction signal characteristics include high-frequency interference elimination value, vibration amplitude correction amount, and propagation path correction curve; The impact area operation state adjustment result includes abnormal area identification mark, signal adjustment reference value, and operation state recovery index; The circuit breaker operating mechanism state evaluation report includes action coordination score, operation stability level, action consistency evaluation, and standard state comparison result.

3. The digitization-based movable circuit breaker operating mechanism monitoring device of claim 1, wherein, The multi-node signal acquisition module comprises: A displacement detection sub-module, which is arranged at the key parts of the circuit breaker operating mechanism, obtains speed data recorded by the speed monitoring device, offset output by the displacement device, and force value captured by the force monitoring device, constructs a corresponding time path according to the speed and displacement, identifies the offset peak value section and the corresponding force change section, extracts the corresponding relationship of the two on the time axis, calculates the joint change amplitude of the offset and the force, and generates a structure dynamic response coefficient; An environmental parameter acquisition sub-module, which obtains temperature, humidity and vibration frequency recorded by the environmental monitoring equipment according to the structure dynamic response coefficient, compares the coefficient change rate and the interval change of temperature and humidity fluctuation in the same period, selects the time interval with consistent fluctuation rhythm and response, calculates the frequency change value and amplitude difference value in the interval, and generates an environmental interference coupling amount. The signal integration submodule combines the environmental interference coupling amount, obtains original force, speed, displacement and vibration data recorded by various monitoring devices, compares the interference coupling amount with the amplitude and frequency of the original signal according to the period, removes the data section with a difference exceeding a threshold, collects the remaining signals according to the type, calculates the corresponding stable interval and response change rate, and generates the circuit breaker operation multi-source signal data.

4. The digitization-based movable circuit breaker operating mechanism monitoring device of claim 1, wherein, The impact force characteristic analysis module comprises: The stage identification submodule obtains the vibration signal in the circuit breaker operation multi-source signal data, combines the amplitude sequence and the frequency sequence in the continuous time period, locates the position where the amplitude starts to fluctuate and the point where the frequency continuously rises, calculates the amplitude change rate and the frequency jump value at the intersection point on the time axis, and generates the impact starting point time value; The peak extraction submodule obtains the amplitude sequence of the vibration signal in the adjacent time period according to the impact starting point time value, filters the continuous data section exceeding the vibration intensity threshold, finds the time point corresponding to the maximum frequency, calculates the corresponding intensity ratio and vibration density according to the frequency increment and the duration of the section, and generates the peak intensity ratio; The region marking submodule obtains the frequency and amplitude sequence in the subsequent time period according to the peak intensity ratio, screens the position where the frequency drop speed exceeds the frequency convergence threshold, marks the impact end position according to the vibration density drop speed and the amplitude mutation point, calculates the time span and the frequency fluctuation interval of the section, and generates the impact action region identification result.

5. The digitization-based movable circuit breaker operating mechanism monitoring device of claim 1, wherein, The environmental influence correction module comprises: The interference removal submodule extracts the vibration signal and environmental signal data in the corresponding region according to the impact action region identification result, calculates the energy value of each frequency band in the vibration signal, finds the frequency band with an energy difference exceeding the high-frequency interference threshold from the original signal, and calculates the energy concentration degree and the frequency stability degree of the remaining signal, and generates the interference purification ratio; The amplitude correction submodule obtains the vibration amplitude data and the temperature and humidity value in the same time period based on the interference purification ratio, compares the deviation degree of the vibration amplitude change rate and the temperature and humidity fluctuation rate, calculates the amplitude offset, compares it with the amplitude correction reference, adjusts the amplitude of the deviation section to the reference range, records the correction amplitude of each section, and generates the correction amplitude coefficient; The path adjustment submodule obtains the path coordinates and the corresponding propagation time of the vibration signal according to the correction amplitude coefficient, calculates the propagation delay between adjacent coordinates and the change ratio of the corrected amplitude, finds the node with a propagation delay greater than the path delay threshold, adjusts the path coordinate sequence of the section and calculates the propagation time difference before and after the adjustment, and generates the impact region environmental correction signal feature.

6. The digitization-based movable circuit breaker operating mechanism monitoring device of claim 1, wherein, The operation deviation adjustment module comprises: The signal extraction submodule extracts the continuous time period data of the vibration, speed and force signals in the region based on the impact region environmental correction signal feature, calculates the change amplitude of each signal in the same time period, and calculates the consistency proportion of the amplitude change direction and the time sequence response, and generates the multi-source signal synchronization coefficient. An abnormality identification submodule obtains the amplitude range and the synchronous reference value of each type of signal in the circuit breaker operation standard according to the multi-source signal synchronous coefficients, compares the difference between the synchronous coefficients and the reference values, identifies the signal segments deviating from the range and records the occurrence time, calculates the maximum deviation amplitude and the duration of the abnormal segments, and generates an operation deviation intensity value; A state adjustment submodule obtains the vibration, speed, and force signals of the abnormal segments according to the operation deviation intensity value, judges the current amplitude change direction, calculates the amplitude difference between the signals and the standard interval, performs segmented correction on each signal and rearranges the time sequence of the corrected segments, and generates an impact area operation state adjustment result.

7. The digitization-based movable circuit breaker operating mechanism monitoring device of claim 1, wherein, The operation state evaluation module includes: A feature extraction submodule extracts the vibration, speed, and force signals in the opening and closing corresponding period based on the impact area operation state adjustment result, calculates the amplitude change value and the duration of each signal, compares the fluctuation time and the amplitude closeness of the three types of signals in the same period, and generates an operation process signal coordination coefficient; An action matching submodule obtains the reference interval and the signal coordination value in the standard action according to the operation process signal coordination coefficient, judges the difference between the current coefficient and the reference value, identifies the deviating segments, calculates the coincidence ratio of the signal deviation trend and the standard trajectory, and generates an action process matching degree; A state evaluation submodule divides the inconsistent signal segments according to the action process matching degree, counts the occurrence number and the deviation amplitude, calculates the proportion of the signals in the stable interval and the fluctuation amplitude range, comprehensively calculates the state score in combination with the matching situation of each segment, and generates a circuit breaker operating mechanism state evaluation result.

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