Method and system for evaluating service life of circuit breaker for switching AC filter of extra-high voltage converter station

Abstract

The invention relates to the technical field of life evaluation, in particular to a circuit breaker life evaluation method and system for switching an alternating current filter in an extra-high voltage converter station, and the method comprises the steps: collecting multi-dimensional operation data in the operation process of a circuit breaker in real time; extracting a high-frequency-band energy ratio as a contact system abrasion loss characteristic parameter; establishing an arcing energy accumulation model according to the arc light intensity time sequence signal, and calculating an effective arcing energy value of a single operation; constructing a life weight distribution model, inputting the wear loss characteristic parameters, the arcing energy accumulation value and the environment temperature and humidity data into the model, and outputting a mechanical wear index, an electric corrosion index and an environment degradation index; establishing a three-axis linkage correction function; generating a comprehensive life evaluation index based on the corrected mechanical wear index, electric corrosion index and environmental degradation index, and triggering an early warning signal when the index exceeds a preset threshold value; according to the invention, by establishing the life evaluation model based on multi-dimensional data fusion, the precision and reliability of life prediction of the circuit breaker of the extra-high voltage converter station are significantly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of life assessment, and in particular to a method and system for assessing the life of a circuit breaker used for switching an AC filter in an ultra-high voltage converter station. Background Art

[0002] The AC filter group of the ultra-high voltage converter station requires frequent switching operations. As a key equipment, the circuit breaker's contact system is subjected to multiple degradation effects such as electrical wear, mechanical impact, and environmental corrosion. The existing technology has the following major defects: First, the traditional method only calculates the electrical life by accumulating the breaking current, and does not consider the nonlinear effect of the accumulated deformation of the mechanical operating mechanism on the contact resistance. In addition, the lack of correlation modeling between vibration impact and contact bounce leads to low accuracy in mechanical wear assessment. Existing methods usually estimate mechanical life only by the number of operations, and do not consider the impact of vibration spectrum characteristics on wear.

[0003] Existing assessment methods usually analyze mechanical, electrical and environmental factors in isolation, without establishing a coupling relationship between the three, resulting in large errors in life prediction. Traditional early warning methods are usually based on fixed thresholds and cannot be dynamically adjusted to adapt to the performance degradation law of equipment, resulting in delayed warning signals or false alarms. To address the above problems, there is an urgent need to develop a multi-parameter fusion life assessment method that comprehensively considers the coupling effects of mechanical wear, electrical corrosion degradation and environmental impacts to achieve accurate prediction and intelligent early warning of the life of UHV converter station circuit breakers. Summary of the Invention

[0004] Based on the above objectives, the present invention provides a life assessment method for a circuit breaker used for switching AC filters in a UHV converter station.

[0005] A method for evaluating the life of a circuit breaker used for switching AC filters in a UHV converter station includes the following steps: S1: Real-time collection of multi-dimensional operating data during circuit breaker operation, including opening and closing coil current waveforms, vibration acceleration spectrum, arc intensity timing signals, and ambient temperature and humidity data; S2: Perform wavelet packet decomposition on the vibration acceleration spectrum and extract the energy proportion of the 3-5kHz high frequency band as the characteristic parameter of the contact system wear; S3: Establish an arc energy accumulation model based on the arc intensity timing signal, and calculate the effective arc energy value of a single operation through the light intensity-current mapping relationship; S4: Construct a life weight distribution model based on fuzzy comprehensive evaluation, input the wear characteristic parameters, arc energy accumulation value and environmental temperature and humidity data into the model, and output the mechanical wear index, electrical corrosion index and environmental degradation index; S5: Establish a three-axis linkage correction function to perform airtightness compensation correction on the mechanical wear index according to the ambient temperature and humidity, and perform gas density correction on the electrical corrosion index; S6: Generate a comprehensive life evaluation index based on the corrected mechanical wear index, electrical corrosion index and environmental degradation index, and trigger a warning signal when the index exceeds the preset threshold.

[0006] Furthermore, the S1 includes: S11, using the Hall current sensor to collect the current waveform of the opening and closing coils, and after the current signal is processed by low-pass filtering, the current rising edge time and peak current are extracted; S12, using a three-axis MEMS accelerometer to collect vibration acceleration signals, performing fast Fourier transform on the vibration signals, and obtaining a vibration spectrum; S13, collecting arc light intensity timing signals through ultraviolet photoelectric sensors, normalizing the light intensity signals, and obtaining relative light intensity values; S14, collecting ambient temperature and relative humidity through a temperature and humidity sensor, performing sliding average filtering on the temperature and humidity data to obtain a stable value; S15, aligning the collected current waveform, vibration spectrum, light intensity timing signal, and temperature and humidity data through a time synchronization module.

[0007] Furthermore, the S2 includes: S21, perform 5-layer wavelet packet decomposition on the vibration acceleration signal, using the db4 wavelet basis function, and obtain the 3 frequency band nodes of the 5th layer after decomposition; S22, extract the frequency band signal of the 7th and 8th nodes of the 5th layer and , and their corresponding frequency bands are and ; S23, calculating the frequency band energy of the 7th node and the 8th node; S24, calculation Total energy in high frequency band; S25, calculating the total energy of the vibration signal based on the obtained vibration signal; S26, calculation The proportion of high-frequency energy.

[0008] Furthermore, the S3 includes: S31, dynamic light intensity-current proportional model construction: During the circuit breaker type test phase, the instantaneous value of the arcing current and the arc light intensity signal are synchronously collected to construct a dynamic proportional coefficient model; S32, equivalent current inversion calculation: perform sliding difference processing on the real-time collected light intensity signal to invert the equivalent arcing current; S33, single arcing energy calculation: calculate the effective arcing energy of a single operation based on the equivalent current; S34, establishing an energy accumulation model: establishing an arcing energy accumulation model according to the arc intensity timing signal; S35, model adaptive update.

[0009] Furthermore, the S4 includes: S41, fuzzy processing of input parameters: normalizing the wear characteristic parameters, arcing energy accumulation value, ambient temperature and humidity data, and ambient relative humidity after sliding average; S42, membership function definition: Construct membership functions for mechanical wear, electrical corrosion, and environmental degradation; S43, dynamic weight allocation: based on the cumulative number of operations Assign weight coefficient; S44, fuzzy comprehensive evaluation calculation: based on the obtained membership functions of mechanical wear, electrical corrosion, and environmental degradation and the dynamically assigned weights, calculate each evaluation index; S45, index normalization output: normalize the evaluation results; S46, weight adaptive update: triggers immediate adjustment when the index difference is too large.

[0010] Furthermore, the S5 includes: S51, Environmental Parameters-Gas Density Mapping: Perform airtightness compensation correction on the mechanical wear index according to the ambient temperature and humidity, and establish a relationship model between the ambient temperature and humidity and the SF6 gas density correction coefficient; S52, Gas density correction for galvanic corrosion index: Gas density compensation for galvanic corrosion index based on the sliding mean ambient temperature; S53, calculation of airtightness degradation degree: evaluating the degree of airtightness degradation based on humidity data; S54, mechanical wear index airtightness compensation: based on the obtained airtightness cracking degree, correct the mechanical wear index; S55, cross correction of environmental degradation index: establishment of three-axis coupling correction term; S56, normalization of correction results: performing normalization processing on the three-axis index.

[0011] Furthermore, the S6 includes: S61, Comprehensive Health Assessment and Dynamic Threshold Adjustment: Construct a nonlinear weighted comprehensive health model based on the modified mechanical wear index, electrical corrosion index, and environmental degradation index; S62, multi-level warning triggering and signal generation: establish a three-level warning mechanism and output the probability distribution synchronously when the warning is triggered.

[0012] Furthermore, the S61 includes: S611, Comprehensive health calculation: Constructing a nonlinear weighted comprehensive evaluation model; S612, dynamic threshold setting: setting the reference threshold according to the circuit breaker model and dynamically adjusting it; S613, Trend Degradation Rate Analysis: Calculate the health change rate within the sliding window.

[0013] Furthermore, the S62 includes: S621, Multi-level warning trigger: Establish a three-level warning mechanism; S622, early warning signal generation: when the early warning is triggered, the fault probability distribution is output synchronously.

[0014] The life assessment system for circuit breakers used for switching AC filters in ultra-high voltage converter stations is used to implement the above-mentioned life assessment method for circuit breakers used for switching AC filters in ultra-high voltage converter stations, and includes the following modules: Multi-dimensional operation data acquisition module: real-time acquisition of the opening and closing coil current waveform, vibration acceleration spectrum, arc intensity timing signal, and ambient temperature and humidity data during circuit breaker operation; Vibration feature extraction module: performs wavelet packet decomposition on the vibration acceleration spectrum and extracts the energy proportion of the 3-5kHz high-frequency band as the characteristic parameter of the contact system wear; Arcing energy accumulation model module: establishes an arcing energy accumulation model based on the arc intensity timing signal, and calculates the effective arcing energy value of a single operation through the intensity-current mapping relationship; Life weight allocation model module: Constructs a life weight allocation model based on fuzzy comprehensive evaluation, inputs wear characteristic parameters, arcing energy accumulation value and environmental temperature and humidity data into the model, and outputs mechanical wear index, electrical corrosion index and environmental degradation index; Three-axis linkage correction module: performs airtightness compensation correction on the mechanical wear index according to the ambient temperature and humidity, and performs gas density correction on the electrical corrosion index; Comprehensive life assessment module: Generates comprehensive life assessment indicators based on the corrected mechanical wear index, electrical corrosion index and environmental degradation index, and triggers an early warning signal when the indicator exceeds the preset threshold.

[0015] Beneficial effects of the present invention: The present invention significantly improves the accuracy and reliability of life prediction for UHV converter station circuit breakers by establishing a life assessment model that integrates multi-dimensional data. First, the mechanical wear amount is extracted based on the vibration spectrum characteristics, and the arcing energy is inverted by combining the arc light intensity signal, breaking through the limitation of traditional methods that rely solely on electrical life parameters and reducing life assessment errors. Second, by constructing a dynamic weight distribution model, the coupling effects of mechanical wear, electrical corrosion degradation and environmental influences are comprehensively considered to achieve a comprehensive assessment of the health status of the circuit breaker. In addition, the introduction of an environmental temperature and humidity compensation mechanism solves the assessment problems under special working conditions such as high altitude and strong electromagnetic interference, significantly improving the applicability and robustness of the method.

[0016] The present invention also provides an intelligent early warning mechanism, which realizes early warning of circuit breaker performance degradation through dynamic threshold setting and trend degradation rate analysis. The multi-level early warning trigger mechanism can automatically adjust the warning level according to the changing trend of health indicators and generate an evaluation report including remaining life prediction, fault component location and maintenance strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only for the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 is a flow chart of a method according to an embodiment of the present invention; Figure 2 Schematic diagram of system modules according to an embodiment of the present invention. DETAILED DESCRIPTION

[0019] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to specific embodiments.

[0020] It should be noted that, unless otherwise defined, the technical or scientific terms used in the present invention should have the usual meanings understood by people with ordinary skills in the field to which the present invention belongs. The "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the object being described changes, the relative positional relationship may also change accordingly.

[0021] like Figure 1 As shown in FIG, a method for evaluating the life of a circuit breaker used for switching AC filters in a UHV converter station includes the following steps: S1: Real-time collection of multi-dimensional operating data during circuit breaker operation, including opening and closing coil current waveforms, vibration acceleration spectrum, arc intensity timing signals, and ambient temperature and humidity data; S2: Perform wavelet packet decomposition on the vibration acceleration spectrum and extract the energy proportion of the 3-5kHz high frequency band as the characteristic parameter of the contact system wear; S3: Establish an arc energy accumulation model based on the arc intensity timing signal, and calculate the effective arc energy value of a single operation through the light intensity-current mapping relationship; S4: Construct a life weight distribution model based on fuzzy comprehensive evaluation, input the wear characteristic parameters, arc energy accumulation value and environmental temperature and humidity data into the model, and output the mechanical wear index, electrical corrosion index and environmental degradation index; S5: Establish a three-axis linkage correction function to perform airtightness compensation correction on the mechanical wear index according to the ambient temperature and humidity, and perform gas density correction on the electrical corrosion index; S6: Generate a comprehensive life evaluation index based on the corrected mechanical wear index, electrical corrosion index and environmental degradation index, and trigger a warning signal when the index exceeds the preset threshold.

[0022] S1 includes: S11, the current waveform of the opening and closing coil is collected through the Hall current sensor. After the current signal is processed by low-pass filtering, the current rising edge time and peak current are extracted, which are expressed as: ; in, for The current value at the moment, is the peak current, Indicates that the current reaches The sampling frequency is , is the current rising edge time; S12, using a three-axis MEMS accelerometer to collect vibration acceleration signals, and performing fast Fourier transform (FFT) on the vibration signals to obtain the vibration spectrum , expressed as: ; in, for The vibration acceleration value at the moment, the sampling frequency is , is the sampling time window, is the frequency; S13, collect arc light intensity timing signal through ultraviolet photoelectric sensor, normalize the light intensity signal, and obtain relative light intensity value , expressed as: ; in, and are the minimum and maximum values ​​of the light intensity signal respectively, and the sampling frequency is , is the light intensity signal; S14, collect the ambient temperature and relative humidity through the temperature and humidity sensor, perform sliding average filtering on the temperature and humidity data to obtain a stable value, which is expressed as: ; ; in, is the ambient temperature after sliding average, is the ambient relative humidity after sliding average, is the number of sampling points in the sliding window, and Respectively The sampling frequency is the temperature and humidity value of ; S15, align the collected current waveform, vibration spectrum, light intensity timing signal and temperature and humidity data through the time synchronization module to ensure that the timestamps of each data are consistent and the time synchronization error does not exceed 1ms.

[0023] S2 includes: S21, the vibration acceleration signal is decomposed into 5 layers of wavelet packets using the db4 wavelet basis function. After decomposition, 3 frequency band nodes of the 5th layer are obtained. The frequency band range corresponding to each node is expressed as: ; in, is the number of decomposition layers, is the node number, is the sampling frequency of the vibration signal, Table: The frequency band range corresponding to the nth node in the mth layer; S22, extract the frequency band signal of the 7th and 8th nodes of the 5th layer and , and their corresponding frequency bands are and ; S23, calculate the frequency band energy of the 7th and 8th nodes, expressed as: ; in, and The 7th and 8th node frequency band signals are sampling points, N is the number of sampling points, and are the band energies of the 7th and 8th nodes, respectively; S24, calculation The total energy in the high frequency band is expressed as: ; S25, based on the obtained vibration signal, calculate the total energy of the vibration signal, which is expressed as: ; in, is the vibration acceleration signal sampling points; S26, calculation The proportion of high-frequency energy is expressed as: .

[0024] S3 includes: S31, dynamic light intensity-current proportional model construction: During the circuit breaker type test phase, the instantaneous value of the arcing current and the arc light intensity signal are synchronously collected to construct a dynamic proportional coefficient model, which is expressed as: ; in, is the time-varying proportional coefficient, which characterizes the arc ionization state. In order to calibrate the reference value, the least squares method is used to optimize and determine the circuit breaker type test stage. is the instantaneous value of the arc current, It is the arc light intensity signal; S32, equivalent current inversion calculation: Perform sliding difference processing on the real-time collected light intensity signal to invert the equivalent arcing current, which is expressed as: ; ; ; in, is the instantaneous value of the equivalent arc current obtained by inverting the light intensity signal, is the data sampling time interval, is the light intensity difference function, used for the Runge-Kutta method iterative calculation, is the intermediate variable of the Runge-Kutta method; S33, single arcing energy calculation: Calculate the effective arcing energy of a single operation based on the equivalent current, expressed as: ; ; in, The light intensity signal exceeds the threshold The start and end times, is the arc equivalent resistance after temperature compensation; The integral is discretized using the Simpson method and expressed as: ; S34, establishing an energy accumulation model: establishing an arcing energy accumulation model according to the arc intensity timing signal, which is expressed as: ; in, is the forgetting factor, which makes the model focus on the data of nearly 100 operations. For the Single arc energy per operation, is an exponential decay weight, ensuring When the old data weight decays to the following; S35, model adaptive update, when it is detected Parameter update is triggered when , which is expressed as: ; in, It is the smoothing coefficient of parameter update to avoid model mutation.

[0025] S4 includes: S41, fuzzy processing of input parameters: normalize the wear characteristic parameters, arcing energy accumulation value, ambient temperature and humidity data, and ambient relative humidity after sliding average, and express it as: ; in, is the calibration range of the wear characteristic parameter, is the rated cumulative arcing energy of the circuit breaker, , is the temperature measurement range, is the normalized input parameter (dimensionless); S42, membership function definition: Construct membership functions for mechanical wear, electrical corrosion, and environmental degradation, specifically including: (1) Mechanical wear membership (trigonometric function), expressed as: = ; (2) Electrocorrosion membership (Sigmoid function): ;in, is the shape parameter of the Sigmoid function ( Control the slope, Control center point); (3) Membership degree of environmental degradation (trapezoidal function): ; in, ; ;in, are the membership degrees of mechanical wear, electrical corrosion, and environmental degradation ( ), is the temperature membership function, is the humidity membership function; S43, dynamic weight allocation: based on the cumulative number of operations Assign weight coefficient, expressed as: ; in, is the dynamic weight coefficient , is a symbolic function, input Output 1 when yes, otherwise -1; S44, fuzzy comprehensive evaluation calculation: Based on the obtained membership functions of mechanical wear, electrical corrosion, and environmental degradation and the dynamically assigned weights, calculate each evaluation index, which can be expressed as: ; S45, index normalization output: normalize the evaluation results and express them as: ; S46, weight adaptive update: trigger immediate adjustment when the index difference is too large, that is, when The weight adjustment is triggered when , which is expressed as: .

[0026] S5 includes: S51, Environmental Parameters-Gas Density Mapping: Perform airtightness compensation correction on the mechanical wear index according to the ambient temperature and humidity, and establish a relationship model between the ambient temperature and humidity and the SF6 gas density correction coefficient, expressed as: ; ; in, is the standard gas density, , is the temperature expansion coefficient of SF6 gas, is the sliding mean ambient temperature , is the sliding mean relative humidity (\%); S52, Gas density correction for galvanic corrosion index: Based on the sliding average ambient temperature, the gas density compensation for the galvanic corrosion index is performed, expressed as: ; in, is the original electrolytic corrosion index, is the sliding mean ambient temperature, and the exponent 1.8 reflects the nonlinear relationship between arc energy and gas density; S53, calculation of airtightness degradation degree: Evaluate the degree of airtightness degradation based on humidity data, expressed as: ; Among them, when When the sealing material absorbs moisture and expands, the contact pressure decreases; S54, Mechanical wear index airtightness compensation: Based on the obtained airtightness cracking degree, the mechanical wear index is corrected, expressed as: ; in, is the original mechanical wear index, and the sine term reflects the seal fatigue effect caused by temperature cycling; S55, cross correction of environmental degradation index: establish a three-axis coupling correction term, expressed as: ; in, ; S56, normalization of correction results: normalize the three-axis index, expressed as: .

[0027] S6 includes: S61, Comprehensive Health Assessment and Dynamic Threshold Adjustment: Construct a nonlinear weighted comprehensive health model based on the modified mechanical wear index, electrical corrosion index, and environmental degradation index; S62, multi-level warning triggering and signal generation: establish a three-level warning mechanism and output the probability distribution synchronously when the warning is triggered.

[0028] The S61 includes: S611, comprehensive health calculation: Construct a nonlinear weighted comprehensive evaluation model, expressed as: ; ; in, The modified triaxial index , is the environmental acceleration factor, which quantifies the nonlinear effect of extreme temperature on aging; S612, dynamic threshold setting: Set the baseline threshold according to the circuit breaker model and adjust it dynamically, expressed as: ; = ; in, is the current operation number, is the number of rated mechanical lifespans; S613, Trend Degradation Rate Analysis: Calculate the health change rate within the sliding window, expressed as: ; ; when Activate the sensitivity enhancement mode when Reduce by 5 .

[0029] S62 includes: S621, multi-level warning trigger: establish a three-level warning mechanism, expressed as: Warning Level = ; S622, early warning signal generation: When the early warning is triggered, the fault probability distribution is output synchronously, expressed as: ; Among them, when When the maintenance work order is generated, it is automatically generated and pushed to the production management system.

[0030] like Figure 2 As shown, the life assessment system for circuit breakers used for switching AC filters in ultra-high voltage converter stations is used to implement the above-mentioned life assessment method for circuit breakers used for switching AC filters in ultra-high voltage converter stations, and includes the following modules: Multi-dimensional operation data acquisition module: real-time acquisition of the opening and closing coil current waveform, vibration acceleration spectrum, arc intensity timing signal, and ambient temperature and humidity data during circuit breaker operation; Vibration feature extraction module: performs wavelet packet decomposition on the vibration acceleration spectrum and extracts the energy proportion of the 3-5kHz high-frequency band as the characteristic parameter of the contact system wear; Arcing energy accumulation model module: establishes an arcing energy accumulation model based on the arc intensity timing signal, and calculates the effective arcing energy value of a single operation through the intensity-current mapping relationship; Life weight allocation model module: Constructs a life weight allocation model based on fuzzy comprehensive evaluation, inputs wear characteristic parameters, arcing energy accumulation value and environmental temperature and humidity data into the model, and outputs mechanical wear index, electrical corrosion index and environmental degradation index; Three-axis linkage correction module: performs airtightness compensation correction on the mechanical wear index according to the ambient temperature and humidity, and performs gas density correction on the electrical corrosion index; Comprehensive life assessment module: Generates comprehensive life assessment indicators based on the corrected mechanical wear index, electrical corrosion index and environmental degradation index, and triggers an early warning signal when the indicator exceeds the preset threshold.

[0031] Those skilled in the art should understand that the discussion of any of the above embodiments is merely illustrative and is not intended to imply that the scope of the present invention is limited to these examples. Within the scope of the present invention, the technical features in the above embodiments or different embodiments may be combined, the steps may be implemented in any order, and there are many other variations of the different aspects of the present invention as described above, which are not provided in detail for the sake of simplicity.

Claims

1. A method for evaluating the life of a circuit breaker used for switching AC filters in a UHV converter station, characterized in that: The following steps are involved: S1: Real-time collection of multi-dimensional operating data during circuit breaker operation, including opening and closing coil current waveforms, vibration acceleration spectrum, arc intensity timing signals, and ambient temperature and humidity data; S2: Perform wavelet packet decomposition on the vibration acceleration spectrum and extract the energy proportion of the 3-5kHz high frequency band as the characteristic parameter of the contact system wear; S3: Establish an arc energy accumulation model based on the arc intensity timing signal, and calculate the effective arc energy value of a single operation through the light intensity-current mapping relationship; S4: Construct a life weight distribution model based on fuzzy comprehensive evaluation, input the wear characteristic parameters, arc energy accumulation value and environmental temperature and humidity data into the model, and output the mechanical wear index, electrical corrosion index and environmental degradation index; S5: Establish a three-axis linkage correction function to perform airtightness compensation correction on the mechanical wear index according to the ambient temperature and humidity, and perform gas density correction on the electrical corrosion index; S6: Generate a comprehensive life evaluation index based on the corrected mechanical wear index, electrical corrosion index and environmental degradation index, and trigger a warning signal when the index exceeds the preset threshold.

2. The life assessment method for a circuit breaker used for switching AC filters in a UHV converter station according to claim 1, characterized in that: Said S1 comprises: S11, using the Hall current sensor to collect the current waveform of the opening and closing coils, and after the current signal is processed by low-pass filtering, the current rising edge time and peak current are extracted; S12, using a three-axis MEMS accelerometer to collect vibration acceleration signals, performing fast Fourier transform on the vibration signals, and obtaining a vibration spectrum; S13, collecting arc light intensity timing signals through ultraviolet photoelectric sensors, normalizing the light intensity signals, and obtaining relative light intensity values; S14, collecting ambient temperature and relative humidity through a temperature and humidity sensor, performing sliding average filtering on the temperature and humidity data to obtain a stable value; S15, aligning the collected current waveform, vibration spectrum, light intensity timing signal, and temperature and humidity data through a time synchronization module.

3. The life assessment method for a circuit breaker used for switching AC filters in a UHV converter station according to claim 2, characterized in that: The S2 includes: S21, perform 5-layer wavelet packet decomposition on the vibration acceleration signal, using the db4 wavelet basis function, and obtain the 3 frequency band nodes of the 5th layer after decomposition; S22, extract the frequency band signal of the 7th and 8th nodes of the 5th layer and , and their corresponding frequency bands are and ; S23, calculating the frequency band energy of the 7th node and the 8th node; S24, calculation Total energy in high frequency band; S25, calculating the total energy of the vibration signal based on the obtained vibration signal; S26, calculation The proportion of high-frequency energy.

4. The method for evaluating the life of a circuit breaker for switching an AC filter in a UHV converter station according to claim 3, characterized in that: The S3 includes: S31, dynamic light intensity-current proportional model construction: During the circuit breaker type test phase, the instantaneous value of the arcing current and the arc light intensity signal are synchronously collected to construct a dynamic proportional coefficient model; S32, equivalent current inversion calculation: perform sliding difference processing on the real-time collected light intensity signal to invert the equivalent arcing current; S33, single arcing energy calculation: calculate the effective arcing energy of a single operation based on the equivalent current; S34, establishing an energy accumulation model: establishing an arcing energy accumulation model according to the arc intensity timing signal; S35, model adaptive update.

5. The life assessment method for a circuit breaker used for switching AC filters in a UHV converter station according to claim 4, characterized in that: The S4 includes: S41, fuzzy processing of input parameters: normalizing the wear characteristic parameters, arcing energy accumulation value, ambient temperature and humidity data, and ambient relative humidity after sliding average; S42, membership function definition: Construct membership functions for mechanical wear, electrical corrosion, and environmental degradation; S43, dynamic weight allocation: based on the cumulative number of operations Assign weight coefficient; S44, fuzzy comprehensive evaluation calculation: based on the obtained membership functions of mechanical wear, electrical corrosion, and environmental degradation and the dynamically assigned weights, calculate each evaluation index; S45, index normalization output: normalize the evaluation results; S46, weight adaptive update: triggers immediate adjustment when the index difference is too large.

6. The method for evaluating the life of a circuit breaker for switching AC filters in a UHV converter station according to claim 5, characterized in that: The S5 includes: S51, Environmental Parameters-Gas Density Mapping: Perform airtightness compensation correction on the mechanical wear index according to the ambient temperature and humidity, and establish a relationship model between the ambient temperature and humidity and the SF6 gas density correction coefficient; S52, Gas density correction for galvanic corrosion index: Gas density compensation for galvanic corrosion index based on the sliding mean ambient temperature; S53, calculation of airtightness degradation degree: evaluating the degree of airtightness degradation based on humidity data; S54, mechanical wear index airtightness compensation: based on the obtained airtightness cracking degree, correct the mechanical wear index; S55, cross correction of environmental degradation index: establishment of three-axis coupling correction term; S56, normalization of correction results: performing normalization processing on the three-axis index.

7. The method for evaluating the life of a circuit breaker for switching AC filters in a UHV converter station according to claim 6, characterized in that: The S6 includes: S61, Comprehensive Health Assessment and Dynamic Threshold Adjustment: Construct a nonlinear weighted comprehensive health model based on the modified mechanical wear index, electrical corrosion index, and environmental degradation index; S62, multi-level warning triggering and signal generation: establish a three-level warning mechanism and output the probability distribution synchronously when the warning is triggered.

8. The method for evaluating the life of a circuit breaker for switching AC filters in a UHV converter station according to claim 7, characterized in that: The S61 includes: S611, Comprehensive health calculation: Constructing a nonlinear weighted comprehensive evaluation model; S612, dynamic threshold setting: setting the reference threshold according to the circuit breaker model and dynamically adjusting it; S613, Trend Degradation Rate Analysis: Calculate the health change rate within the sliding window.

9. The method for evaluating the life of a circuit breaker for switching AC filters in a UHV converter station according to claim 8, characterized in that: The S62 includes: S621, Multi-level warning trigger: Establish a three-level warning mechanism; S622, early warning signal generation: when the early warning is triggered, the fault probability distribution is output synchronously.

10. A life assessment system for a circuit breaker used for switching an AC filter in a UHV converter station, configured to implement a life assessment method for a circuit breaker used for switching an AC filter in a UHV converter station according to any one of claims 1 to 9, characterized in that: Includes the following modules: Multi-dimensional operation data acquisition module: real-time acquisition of the opening and closing coil current waveform, vibration acceleration spectrum, arc intensity timing signal, and ambient temperature and humidity data during circuit breaker operation; Vibration feature extraction module: performs wavelet packet decomposition on the vibration acceleration spectrum and extracts the energy proportion of the 3-5kHz high-frequency band as the characteristic parameter of the contact system wear; Arcing energy accumulation model module: establishes an arcing energy accumulation model based on the arc intensity timing signal, and calculates the effective arcing energy value of a single operation through the intensity-current mapping relationship; Life weight allocation model module: Constructs a life weight allocation model based on fuzzy comprehensive evaluation, inputs wear characteristic parameters, arcing energy accumulation value and environmental temperature and humidity data into the model, and outputs mechanical wear index, electrical corrosion index and environmental degradation index; Three-axis linkage correction module: performs airtightness compensation correction on the mechanical wear index according to the ambient temperature and humidity, and performs gas density correction on the electrical corrosion index; Comprehensive life assessment module: Generates comprehensive life assessment indicators based on the corrected mechanical wear index, electrical corrosion index and environmental degradation index, and triggers an early warning signal when the indicator exceeds the preset threshold.

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