Monitoring method and device for high-voltage circuit breaker

Abstract

The invention provides a monitoring method and device for a high-voltage circuit breaker. The method comprises the following steps: acquiring working state data of the high-voltage circuit breaker; performing noise reduction processing on the working state data to obtain noise reduction data; obtaining a digital twinborn model of the high-voltage circuit breaker according to the noise reduction data; performing real-time monitoring on the high-voltage circuit breaker according to the digital twinborn model of the high-voltage circuit breaker to obtain real-time monitoring data; performing life prediction according to the real-time monitoring data to obtain life prediction data; and obtaining a monitoring result according to the real-time monitoring data and the life prediction data. The monitoring accuracy of the high-voltage circuit breaker is improved, and the labor cost is reduced.

Description

Technical Field

[0001] This invention relates to the field of high-voltage circuit breaker monitoring technology, and also to a monitoring method and device for high-voltage circuit breakers. Background Technology

[0002] High-voltage circuit breakers, as crucial equipment in power systems, control the connection or disconnection of designated lines and electrical equipment according to operational requirements. When a system fault occurs, they promptly disconnect the faulty section, protecting the unaffected sections and ensuring their normal operation, thus fulfilling a dual role of control and protection. Monitoring and diagnosing high-voltage circuit breakers to assess their operational status allows for the timely detection of potential operational hazards, enabling the prevention and elimination of faults and improving their reliability, safety, and effectiveness. However, current high-voltage circuit breaker monitoring methods rely on parameter comparisons and simple trend analysis, which are insufficient for assessing complex operational states. Accurate judgment often requires human intervention, resulting in low accuracy and high labor costs. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a monitoring method and device for high-voltage circuit breakers, so as to improve monitoring accuracy and reduce labor costs.

[0004] To solve the above-mentioned technical problems, the technical solution of the present invention is as follows: A first aspect of the present invention provides a method for monitoring a high-voltage circuit breaker, comprising: Obtain the operating status data of the high-voltage circuit breaker; The working status data is subjected to noise reduction processing to obtain noise-reduced data; Based on the noise reduction data, a digital twin model of the high-voltage circuit breaker is obtained; The high-voltage circuit breaker is monitored in real time based on the digital twin model of the high-voltage circuit breaker to obtain real-time monitoring data; Lifetime prediction is performed based on the real-time monitoring data to obtain lifetime prediction data. The monitoring results are obtained based on the real-time monitoring data and the lifespan prediction data.

[0005] Optionally, obtain the operating status data of the high-voltage circuit breaker, including: Acquire preset data acquisition methods; the preset data acquisition methods include electrical quantity data acquisition methods, mechanical quantity data acquisition methods, environmental quantity data acquisition methods, and status quantity data acquisition methods; The operating status data of the high-voltage circuit breaker is obtained according to the preset data acquisition method.

[0006] Optionally, the working status data is subjected to noise reduction processing to obtain noise-reduced data, including: The vibration signal data in the working status data is filtered to obtain filtered data; The sensor data in the working status data is subjected to dimensionality reduction processing to obtain dimensionality-reduced data; Based on the filtered data and the dimensionality reduction data, noise reduction data is obtained.

[0007] Optionally, based on the noise reduction data, a digital twin model of the high-voltage circuit breaker is obtained, including: Obtain the preset geometric model of the high-voltage circuit breaker; Based on the preset geometric model and the noise reduction data, a first digital twin model is obtained; The first digital twin model is calibrated to obtain the second digital twin model; The second digital twin model was verified to obtain the digital twin model of the high-voltage circuit breaker.

[0008] Optionally, the high-voltage circuit breaker is monitored in real time based on the digital twin model of the high-voltage circuit breaker to obtain real-time monitoring data, including: Simulation data is obtained based on the noise reduction data and the digital twin model of the high-voltage circuit breaker; The high-voltage circuit breaker is monitored in real time based on the simulation data to obtain real-time monitoring data.

[0009] Optionally, lifetime prediction is performed based on the real-time monitoring data to obtain lifetime prediction data, including: Based on the real-time monitoring data, loss data is obtained; Based on the loss data, lifetime prediction is performed to obtain lifetime prediction data.

[0010] Optionally, based on the real-time monitoring data and the lifespan prediction data, the monitoring results are obtained, including: Risk assessment data is obtained by performing a risk assessment based on the real-time monitoring data and the lifespan prediction data. The monitoring results are obtained based on the real-time monitoring data, the lifespan prediction data, and the risk assessment data.

[0011] A second aspect of the present invention provides a monitoring device for a high-voltage circuit breaker, comprising: The acquisition module is used to acquire the operating status data of the high-voltage circuit breaker; The processing module is used to perform noise reduction processing on the working status data to obtain noise-reduced data; obtain a digital twin model of the high-voltage circuit breaker based on the noise-reduced data; perform real-time monitoring of the high-voltage circuit breaker based on the digital twin model of the high-voltage circuit breaker to obtain real-time monitoring data; perform life prediction based on the real-time monitoring data to obtain life prediction data; and obtain monitoring results based on the real-time monitoring data and the life prediction data.

[0012] A third aspect of the present invention provides a computing device, comprising: a processor and a memory storing a computer program, wherein the computer program, when executed by the processor, performs the method described in the first aspect.

[0013] A fourth aspect of the present invention provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the method as described in the first aspect.

[0014] The above-described solution of the present invention has at least the following beneficial effects: The above-mentioned solution of the present invention acquires the operating status data of the high-voltage circuit breaker, performs noise reduction processing on the operating status data to obtain noise-reduced data, then obtains a digital twin model of the high-voltage circuit breaker based on the noise-reduced data, then performs real-time monitoring of the high-voltage circuit breaker based on the digital twin model of the high-voltage circuit breaker to obtain real-time monitoring data, performs life prediction based on the real-time monitoring data to obtain life prediction data, and finally obtains the monitoring result based on the real-time monitoring data and the life prediction data. This method can improve the monitoring accuracy of the high-voltage circuit breaker and reduce labor costs. Attached Figure Description

[0015] Figure 1 This is a flowchart illustrating the monitoring method for high-voltage circuit breakers in an embodiment of the present invention; Figure 2 This is a schematic diagram of the monitoring device for a high-voltage circuit breaker in an embodiment of the present invention. Detailed Implementation

[0016] Exemplary embodiments of the invention will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this invention will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

[0017] like Figure 1 As shown, an embodiment of the present invention proposes a monitoring method for a high-voltage circuit breaker, comprising the following steps: Step 101: Obtain the operating status data of the high-voltage circuit breaker; Step 102: Perform noise reduction processing on the working status data to obtain noise-reduced data; Step 103: Based on the noise reduction data, obtain the digital twin model of the high-voltage circuit breaker; Step 104: Real-time monitoring of the high-voltage circuit breaker is performed based on the digital twin model of the high-voltage circuit breaker to obtain real-time monitoring data; Step 105: Perform lifetime prediction based on the real-time monitoring data to obtain lifetime prediction data; Step 106: Obtain the monitoring results based on the real-time monitoring data and the lifespan prediction data.

[0018] The high-voltage circuit breaker monitoring method of this invention acquires the operating status data of the high-voltage circuit breaker, performs noise reduction processing on the operating status data to obtain noise-reduced data, then obtains a digital twin model of the high-voltage circuit breaker based on the noise-reduced data, performs real-time monitoring of the high-voltage circuit breaker based on the digital twin model to obtain real-time monitoring data, performs life prediction based on the real-time monitoring data to obtain life prediction data, and finally obtains the monitoring result based on the real-time monitoring data and the life prediction data. This method can improve the monitoring accuracy of high-voltage circuit breakers and reduce labor costs.

[0019] In an optional embodiment of the present invention, step 101, obtaining the operating status data of the high-voltage circuit breaker, may include: Step 1011: Obtain a preset data acquisition method; the preset data acquisition method includes electrical quantity data acquisition method, mechanical quantity data acquisition method, environmental quantity data acquisition method, and status quantity data acquisition method; Specifically, electrical quantities directly reflect the electrical operating status of high-voltage circuit breakers, mechanical quantities reflect the mechanical operating performance of high-voltage circuit breakers, environmental quantities affect the operational stability of high-voltage circuit breakers, and status quantities reflect the health status of the core components of circuit breakers. Therefore, it is necessary to collect electrical quantity data, mechanical quantity data, environmental quantity data, and status quantity data of high-voltage circuit breakers. Different methods are used to collect various types of data. Therefore, the preset data collection methods include electrical quantity data collection method, mechanical quantity data collection method, environmental quantity data collection method, and status quantity data collection method. Here, the methods for acquiring electrical quantity data include: using a series miniature shunt to acquire the current of the opening and closing coils; using a voltage divider and application delivery controller to acquire the operating voltage; and using a high-voltage probe to acquire the arc pressure / arc current in the arc-extinguishing chamber. The methods for acquiring mechanical quantity data include: using a linear displacement sensor to acquire the opening and closing time / contact stroke / velocity; using a displacement sensor to acquire the number of bounces; and using a piezoelectric accelerometer to acquire the vibration signal of the operating mechanism. The methods for acquiring environmental quantity data include: using a temperature and humidity sensor to acquire the ambient temperature or humidity; and using an equivalent salt density sensor to acquire the contamination level. The methods for acquiring state quantity data include: using a pressure sensor (such as a piezoelectric pressure sensor) to acquire the sulfur hexafluoride gas pressure; using a purity sensor to acquire the sulfur hexafluoride purity; using a float-type or capacitive level sensor to acquire the oil level height; and using an ultrasonic sensor to acquire contact thickness data to obtain contact electrical wear. The above are just examples; other acquisition methods can be selected according to the actual situation.

[0020] Step 1012: Obtain the operating status data of the high-voltage circuit breaker according to the preset data acquisition method.

[0021] Specifically, the operating status data of the high-voltage circuit breaker can be obtained according to the preset data acquisition method. The operating status data of the high-voltage circuit breaker includes electrical quantity data, mechanical quantity data, environmental quantity data and status quantity data of the high-voltage circuit breaker.

[0022] In an optional embodiment of the present invention, step 102, which involves denoising the working status data to obtain denoised data, may include: Step 1021: Filter the vibration signal data in the working status data to obtain filtered data; Specifically, low-dimensional time-domain signals (such as single-channel vibration / current) in the working status data are filtered using median filtering or wavelet packet denoising to obtain filtered data.

[0023] Step 1022: Perform dimensionality reduction processing on the sensor data in the working status data to obtain dimensionality-reduced data; Specifically, high-dimensional multi-parameter data (such as sensor data for temperature, pressure, displacement, etc.) in the working status data are reduced in dimensionality using principal component analysis to obtain dimensionality-reduced data.

[0024] Step 1023: Obtain noise-reduced data based on the filtered data and the dimensionality-reduced data.

[0025] Specifically, the noise reduction data includes filtered data and dimensionality reduction data.

[0026] In an optional embodiment of the present invention, step 103, obtaining a digital twin model of the high-voltage circuit breaker based on the noise reduction data, may include: Step 1031: Obtain the preset geometric model of the high-voltage circuit breaker; Specifically, three-dimensional computer-aided design software (such as SolidWorks and UG) can be used to obtain a preset geometric model of the three-dimensional structure of components such as circuit breaker contacts, operating mechanisms, and arc-extinguishing chambers.

[0027] Step 1032: Obtain the first digital twin model based on the preset geometric model and the noise reduction data; Specifically, based on multibody dynamics theory, a mechanical dynamics model is established using mechanical quantity data (such as contact stroke-time curves and opening / closing speeds) from the noise reduction data, and motion simulation software (such as ADAMS and ANSYS Motion). Based on the principle of electromagnetic induction, an electromagnetic model is established using coil current and operating voltage data from the noise reduction data, and electromagnetic analysis simulation tools (such as Maxwell) are used to simulate the electromagnetic force characteristics of the opening / closing coil. A thermodynamic model is established by calculating contact resistance, temperature rise distribution, and thermal stress through finite element analysis. Finally, the mechanical dynamics model, electromagnetic model, thermodynamic model, and preset geometric model are coupled to obtain the first digital twin model.

[0028] Step 1033: The first digital twin model is calibrated to obtain the second digital twin model; Specifically, based on the denoised data, key parameters (such as friction coefficient and neural network weights) in the first digital twin model are calibrated to obtain the second digital twin model.

[0029] Step 1034: Verify the second digital twin model to obtain the digital twin model of the high-voltage circuit breaker.

[0030] Specifically, the second digital twin model is connected to the controller of the high-voltage circuit breaker to verify the effectiveness of the control strategy in the second digital twin model. If the verification result meets the preset verification conditions, the second digital twin model is used as the digital twin model of the high-voltage circuit breaker.

[0031] In an optional embodiment of the present invention, step 104, which involves real-time monitoring of the high-voltage circuit breaker based on the digital twin model of the high-voltage circuit breaker to obtain real-time monitoring data, may include: Step 1041: Based on the noise reduction data and the digital twin model of the high-voltage circuit breaker, obtain simulation data; Specifically, the noise reduction data is input into the digital twin model of the high-voltage circuit breaker for simulation testing, and all data generated during the simulation testing process is used as simulation data.

[0032] Step 1042: Perform real-time monitoring on the high-voltage circuit breaker based on the simulation data to obtain real-time monitoring data.

[0033] Specifically, indicator data is extracted from simulation data based on preset key indicators. These preset key indicators include the deviation of opening and closing time (difference from the rated value), contact speed deviation, coil current peak deviation, abnormal vibration signal spectrum, and sulfur hexafluoride pressure leakage. After the indicator data is extracted, it is compared with preset indicator thresholds to obtain the comparison results. Real-time monitoring data includes simulation data, preset key indicators, and comparison results.

[0034] In an optional embodiment of the present invention, step 105, performing lifetime prediction based on the real-time monitoring data to obtain lifetime prediction data, may include: Step 1051: Obtain loss data based on the real-time monitoring data; Specifically, according to The contact wear loss was calculated. according to The fatigue loss of the spring was calculated. according to The bearing wear loss was calculated. according to The insulation loss of the arc-extinguishing chamber was calculated. The loss data are obtained based on the contact electrical wear loss, spring fatigue loss, bearing wear loss, and arc-extinguishing chamber insulation loss; in, denoted as contact wear loss, and k is the material evaporation coefficient (related to the contact material). For electric arc energy, For arc voltage, Where D is the arc flow and D is the spring fatigue loss. Let i be the number of cycles under the i-th stress level. Let be the fatigue life under stress level i, m be the total number of stress levels, V be the bearing wear loss, F be the normal load, s be the sliding distance, H be the material hardness, and p be the wear coefficient. For the insulation loss of the arc-extinguishing chamber, q represents the initial insulation performance, c represents the concentration of decomposition products (such as sulfur dioxide), and q represents the aging coefficient.

[0035] The loss data includes contact electrical wear loss, spring fatigue loss, bearing wear loss, and arc-extinguishing chamber insulation loss.

[0036] Step 1052: Perform lifetime prediction based on the loss data to obtain lifetime prediction data.

[0037] Specifically, according to The cumulative loss is calculated; according to The remaining lifespan of the high-voltage circuit breaker was calculated. Where L represents the remaining lifespan of the high-voltage circuit breaker. The rated life of the component (available from manufacturer data). This is the cumulative loss amount. This represents the average annual loss. D represents contact electrical wear loss, D represents spring fatigue loss, and V represents bearing wear loss. This refers to the insulation loss of the arc-extinguishing chamber.

[0038] Lifespan prediction data includes remaining lifespan.

[0039] In an optional embodiment of the present invention, step 106, obtaining the monitoring result based on the real-time monitoring data and the lifespan prediction data, may include: Step 1061: Perform a risk assessment based on the real-time monitoring data and the lifespan prediction data to obtain risk assessment data; Specifically, the risk matrix method is used, with "remaining lifespan level" (short / medium / long) and "severity of failure consequences" (high / medium / low) as dimensions to divide the initial risk level (extremely high / high / medium / low). The initial risk level is then adjusted based on the comparison results in real-time monitoring data. For example, if the comparison results in real-time monitoring data do not meet the preset indicator threshold, the initial risk level is increased to obtain the target risk level. Based on the target risk level, the corresponding optimized maintenance strategy is found from the preset maintenance strategy. The risk assessment data includes lifespan prediction data, risk level, and optimized maintenance strategy.

[0040] Step 1062: Obtain the monitoring results based on the real-time monitoring data, the lifespan prediction data, and the risk assessment data.

[0041] Specifically, the monitoring results include real-time monitoring data, lifespan prediction data, and risk assessment data.

[0042] A specific embodiment of the monitoring method for high-voltage circuit breakers according to the present invention includes: Step 111: Obtain the operating status data of the high-voltage circuit breaker; The operating status data of the high-voltage circuit breaker is acquired according to the preset data acquisition method. The operating status data of the high-voltage circuit breaker includes electrical quantity data, mechanical quantity data, environmental quantity data and status quantity data of the high-voltage circuit breaker.

[0043] Step 112: Perform noise reduction processing on the working status data to obtain noise-reduced data; Different noise reduction methods are used to denoise the working status data according to different data types in order to improve data quality.

[0044] Step 113: Based on the noise reduction data, obtain the digital twin model of the high-voltage circuit breaker; First, a preset geometric model consistent with the actual size and structure of the high-voltage circuit breaker is obtained using 3D drawing software. Then, mechanical dynamics model, electromagnetic model, and thermodynamic model are obtained based on noise reduction data. Multiple models are coupled, calibrated, and verified to obtain a digital twin model of the high-voltage circuit breaker.

[0045] Step 114: Real-time monitoring of the high-voltage circuit breaker is performed based on the digital twin model of the high-voltage circuit breaker to obtain real-time monitoring data; The high-voltage circuit breaker was simulated and tested using a digital twin model to obtain simulation data. Based on preset key indicators, the indicator data was extracted from the simulation data and compared with preset indicator thresholds to obtain real-time monitoring data.

[0046] Step 115: Perform lifetime prediction based on the real-time monitoring data to obtain lifetime prediction data; The remaining lifespan of a high-voltage circuit breaker can be calculated using relevant formulas.

[0047] Step 116: Obtain the monitoring results based on the real-time monitoring data and the lifespan prediction data.

[0048] Risk assessment can determine the risk level of high-voltage circuit breakers and thus determine optimized maintenance strategies. Real-time monitoring data, life prediction data, and risk assessment data are output as monitoring results for staff to manage and maintain high-voltage circuit breakers.

[0049] The monitoring method for high-voltage circuit breakers in this invention can automatically monitor high-voltage circuit breakers based on the collected data, identify potential risks and remaining lifespan of high-voltage circuit breakers, and help reduce labor costs and improve monitoring accuracy.

[0050] like Figure 2 As shown, an embodiment of the present invention provides a monitoring device 200 for a high-voltage circuit breaker, comprising: Module 201 is used to acquire the operating status data of the high-voltage circuit breaker; The processing module 202 is used to perform noise reduction processing on the working status data to obtain noise-reduced data; obtain a digital twin model of the high-voltage circuit breaker based on the noise-reduced data; perform real-time monitoring of the high-voltage circuit breaker based on the digital twin model of the high-voltage circuit breaker to obtain real-time monitoring data; perform life prediction based on the real-time monitoring data to obtain life prediction data; and obtain monitoring results based on the real-time monitoring data and the life prediction data.

[0051] Optionally, obtain the operating status data of the high-voltage circuit breaker, including: Acquire preset data acquisition methods; the preset data acquisition methods include electrical quantity data acquisition methods, mechanical quantity data acquisition methods, environmental quantity data acquisition methods, and status quantity data acquisition methods; The operating status data of the high-voltage circuit breaker is obtained according to the preset data acquisition method.

[0052] Optionally, the working status data is subjected to noise reduction processing to obtain noise-reduced data, including: The vibration signal data in the working status data is filtered to obtain filtered data; The sensor data in the working status data is subjected to dimensionality reduction processing to obtain dimensionality-reduced data; Based on the filtered data and the dimensionality reduction data, noise reduction data is obtained.

[0053] Optionally, based on the noise reduction data, a digital twin model of the high-voltage circuit breaker is obtained, including: Obtain the preset geometric model of the high-voltage circuit breaker; Based on the preset geometric model and the noise reduction data, a first digital twin model is obtained; The first digital twin model is calibrated to obtain the second digital twin model; The second digital twin model was verified to obtain the digital twin model of the high-voltage circuit breaker.

[0054] Optionally, the high-voltage circuit breaker is monitored in real time based on the digital twin model of the high-voltage circuit breaker to obtain real-time monitoring data, including: Simulation data is obtained based on the noise reduction data and the digital twin model of the high-voltage circuit breaker; The high-voltage circuit breaker is monitored in real time based on the simulation data to obtain real-time monitoring data.

[0055] Optionally, lifetime prediction is performed based on the real-time monitoring data to obtain lifetime prediction data, including: Based on the real-time monitoring data, loss data is obtained; Based on the loss data, lifetime prediction is performed to obtain lifetime prediction data.

[0056] Optionally, based on the real-time monitoring data and the lifespan prediction data, the monitoring results are obtained, including: Risk assessment data is obtained by performing a risk assessment based on the real-time monitoring data and the lifespan prediction data. The monitoring results are obtained based on the real-time monitoring data, the lifespan prediction data, and the risk assessment data.

[0057] The monitoring device for high-voltage circuit breakers in this invention acquires the operating status data of the high-voltage circuit breaker, performs noise reduction processing on the operating status data to obtain noise-reduced data, then obtains a digital twin model of the high-voltage circuit breaker based on the noise-reduced data, performs real-time monitoring of the high-voltage circuit breaker based on the digital twin model to obtain real-time monitoring data, performs lifespan prediction based on the real-time monitoring data to obtain lifespan prediction data, and finally obtains the monitoring result based on the real-time monitoring data and the lifespan prediction data. This improves the monitoring accuracy of high-voltage circuit breakers and reduces labor costs.

[0058] It should be noted that this device corresponds to the method described above, and all implementations in the method embodiments described above are applicable to the embodiments of this device and can achieve the same technical effect. Further details are omitted in this embodiment.

[0059] This invention also provides a computing device, including: a processor and a memory storing a computer program, wherein the computer program, when executed by the processor, performs the method as described in any of the above embodiments. All implementations in the above method embodiments are applicable to the embodiments of this device and can achieve the same technical effects. Further details are omitted in this embodiment.

[0060] This invention also provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the method as described in any of the above embodiments. All implementations in the above method embodiments are applicable to the embodiments of this device and can achieve the same technical effects. Further details are omitted in this embodiment.

[0061] It should be noted that in the apparatus and method of the present invention, the components or steps can obviously be decomposed and / or recombined. These decompositions and / or recombinations should be considered equivalent solutions of the present invention. Furthermore, the steps for performing the above series of processes can naturally be performed in the order described and in chronological order, but are not necessarily required to be performed in chronological order. Some steps can be performed in parallel, overlapping, or independently of each other.

[0062] It should be noted that in the above embodiments, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments described above is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0063] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A monitoring method for a high-voltage circuit breaker, characterized in that, include: Obtain the operating status data of the high-voltage circuit breaker; The working status data is subjected to noise reduction processing to obtain noise-reduced data; Based on the noise reduction data, a digital twin model of the high-voltage circuit breaker is obtained; The high-voltage circuit breaker is monitored in real time based on the digital twin model of the high-voltage circuit breaker to obtain real-time monitoring data; Lifetime prediction is performed based on the real-time monitoring data to obtain lifetime prediction data. The monitoring results are obtained based on the real-time monitoring data and the lifespan prediction data.

2. The monitoring method for high-voltage circuit breakers according to claim 1, characterized in that, Obtain the operating status data of the high-voltage circuit breaker, including: Acquire preset data acquisition methods; the preset data acquisition methods include electrical quantity data acquisition methods, mechanical quantity data acquisition methods, environmental quantity data acquisition methods, and status quantity data acquisition methods; The operating status data of the high-voltage circuit breaker is obtained according to the preset data acquisition method.

3. The monitoring method for high-voltage circuit breakers according to claim 1, characterized in that, The working status data is subjected to noise reduction processing to obtain noise-reduced data, including: The vibration signal data in the working status data is filtered to obtain filtered data; The sensor data in the working status data is subjected to dimensionality reduction processing to obtain dimensionality-reduced data; Based on the filtered data and the dimensionality reduction data, noise reduction data is obtained.

4. The monitoring method for high-voltage circuit breakers according to claim 1, characterized in that, Based on the noise reduction data, a digital twin model of the high-voltage circuit breaker is obtained, including: Obtain the preset geometric model of the high-voltage circuit breaker; Based on the preset geometric model and the noise reduction data, a first digital twin model is obtained; The first digital twin model is calibrated to obtain the second digital twin model; The second digital twin model was verified to obtain the digital twin model of the high-voltage circuit breaker.

5. The monitoring method for high-voltage circuit breakers according to claim 1, characterized in that, The high-voltage circuit breaker is monitored in real time based on its digital twin model to obtain real-time monitoring data, including: Simulation data is obtained based on the noise reduction data and the digital twin model of the high-voltage circuit breaker; The high-voltage circuit breaker is monitored in real time based on the simulation data to obtain real-time monitoring data.

6. The monitoring method for high-voltage circuit breakers according to claim 1, characterized in that, Based on the real-time monitoring data, lifetime prediction is performed to obtain lifetime prediction data, including: Based on the real-time monitoring data, loss data is obtained; Based on the loss data, lifetime prediction is performed to obtain lifetime prediction data.

7. The monitoring method for high-voltage circuit breakers according to claim 1, characterized in that, Based on the real-time monitoring data and the lifespan prediction data, the monitoring results are obtained, including: Risk assessment data is obtained by performing a risk assessment based on the real-time monitoring data and the lifespan prediction data. The monitoring results are obtained based on the real-time monitoring data, the lifespan prediction data, and the risk assessment data.

8. A monitoring device for a high-voltage circuit breaker, characterized in that, include: The acquisition module is used to acquire the operating status data of the high-voltage circuit breaker; The processing module is used to perform noise reduction processing on the working status data to obtain noise-reduced data; Based on the noise reduction data, a digital twin model of the high-voltage circuit breaker is obtained; the high-voltage circuit breaker is monitored in real time based on the digital twin model to obtain real-time monitoring data; the lifespan is predicted based on the real-time monitoring data to obtain lifespan prediction data; and the monitoring results are obtained based on the real-time monitoring data and the lifespan prediction data.

9. A computing device, characterized in that, include: A processor, a memory storing a computer program, wherein the computer program, when executed by the processor, performs the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The system stores instructions that, when executed on a computer, cause the computer to perform the method as described in any one of claims 1 to 7.

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