Capacitor outgoing line state monitoring system based on optical fiber sensing

Abstract

The invention discloses a capacitor outgoing line state monitoring system based on optical fiber sensing, and relates to the technical field of capacitor monitoring, and the system comprises a strong influence environment index determination module which is used for analyzing and determining a strong influence environment index and matching the type of an optical fiber sensor; the optical fiber sensing module acquisition module is used for sequentially arranging optical fiber sensing equipment; the outgoing line state monitoring module is used for monitoring the real-time state of the outgoing line of the target capacitor; the working environment monitoring module is used for acquiring real-time working environment data; and the leading-out wire state early warning module is used for carrying out state trend prediction and leading-out wire state early warning. The technical problems in the prior art that the capacitor leading-out wire is not monitored in real time, the influence of a complex working environment cannot be effectively handled, and the fault early warning capability and the safety of the capacitor are poor are solved, real-time and high-precision capacitor leading-out wire state monitoring is realized, and the fault early warning capability and the safety of the capacitor are improved. The technical effect of improving the fault early warning capability and the operation safety of the capacitor is achieved.

Description

Technical Field

[0001] The present application relates to the technical field related to capacitor monitoring, and in particular to a capacitor lead wire status monitoring system based on optical fiber sensing. Background Art

[0002] As a key electrical component of high-voltage power systems, capacitors are usually used for filtering, power factor correction, reactive power compensation, etc. They are usually connected to other electrical equipment through lead wires. The capacitor lead wires transmit the electrical signals or electrical energy of the capacitor to other parts. The capacitor lead wires are usually subject to various stress factors such as current, temperature, and vibration. Their status is crucial to the safe operation of the equipment. However, traditional methods mostly rely on electrical testing, which cannot be monitored in real time and have slow response speeds. They cannot meet the needs of modern and intelligent equipment for real-time monitoring of capacitor status. In addition, for underground power facilities, such as underground substations or underground power tunnels, there are problems such as poor ventilation and high humidity. The contact and transmission signal of the sensor may be affected, which in turn affects the accurate and real-time monitoring of the capacitor lead wire status, making it impossible to accurately predict equipment failures.

[0003] Therefore, in the current relevant technologies, there are technical problems such as the capacitor lead wire monitoring is not real-time and cannot effectively cope with the influence of complex working environment, resulting in poor capacitor fault warning capability and safety. Summary of the invention

[0004] The present application provides a capacitor lead wire status monitoring system based on optical fiber sensing, thereby solving the technical problems in the prior art that the capacitor lead wire monitoring is not real-time and cannot effectively cope with the influence of complex working environment, resulting in poor capacitor fault warning capability and safety. The application realizes real-time and high-precision capacitor lead wire status monitoring, achieving the technical effect of improving the capacitor fault warning capability and operation safety.

[0005] The present application provides a capacitor lead wire state monitoring system based on optical fiber sensing, the system comprising: a strong impact environmental index determination module, used for analyzing and determining the strong impact environmental index based on the basic environmental attributes of the workplace of the target capacitor, and matching the optical fiber sensor type with high adaptability according to the strong impact environmental index; an optical fiber sensing module acquisition module, used for extracting key monitoring points of the target capacitor lead wire, and sequentially arranging the optical fiber sensing equipment according to the optical fiber sensor type to obtain the optical fiber sensing module, and at the same time, arranging the environmental monitoring module according to the spatial structure layout of the workplace of the target capacitor; a lead wire state monitoring module, used for using the optical fiber sensing module to perform real-time state monitoring of the target capacitor lead wire and obtain the real-time state data of the lead wire; a working environment monitoring module, used for using the environmental monitoring module to perform real-time working environment monitoring and obtain real-time working environment data; a lead wire state warning module, used for performing real-time state evaluation according to the real-time state data of the lead wire, and extracting the strong impact environmental index value in combination with the real-time working environment data to predict the state trend, and performing lead wire state warning according to the prediction result.

[0006] In a possible implementation, the fiber optic sensing-based capacitor lead wire status monitoring system further performs the following processing: obtaining basic environmental attributes of the workplace of the target capacitor, the basic environmental attributes including at least temperature, humidity, pH, electromagnetic interference and vibration interference; based on the basic environmental attributes, performing monitoring interference analysis and lead wire performance impact analysis respectively, and performing fusion analysis and sorting to generate an environmental impact indicator sequence; based on the environmental impact indicator sequence, extracting strong impact environmental indicators, and matching highly adaptable optical fiber sensor types according to the strong impact environmental indicator types.

[0007] In a possible implementation, the fiber optic sensing-based capacitor lead wire status monitoring system further performs the following processing: centralized analysis is performed based on the fault record data of the target capacitor lead wire, and key monitoring points of the target capacitor lead wire are extracted in combination with the conventional weak point locations; the environmental change interval of the target location is obtained; based on the environmental change interval, daily operation equipment and emergency activation equipment are configured for each fiber optic sensor type, and are deployed at corresponding key monitoring nodes to obtain the fiber optic sensing module.

[0008] In a possible implementation, the capacitor lead wire status monitoring system based on optical fiber sensing also performs the following processing: the tracking and monitoring data includes: receiving the real-time status data of the lead wire, extracting multiple lead wire status indicators to perform single indicator status evaluation and comprehensive indicator status evaluation respectively, and generating real-time status evaluation results; performing abnormality judgment based on the real-time status evaluation results, if it is judged to be abnormal, directly performing a status warning, if it is judged to be normal, combining the real-time working environment data, extracting the values ​​of strong influencing environmental indicators to predict the status trend.

[0009] In a possible implementation, the capacitor lead wire status monitoring system based on optical fiber sensing also performs the following processing: based on the real-time working environment data, extracting the strong impact environment indicator value, the strong impact environment indicator value includes multiple strong impact environment indicator sequences, including temperature change sequence, humidity change sequence, pH change sequence, electromagnetic interference change sequence and vibration interference change sequence; according to the multiple strong impact environment indicator sequences, combined with the lead wire real-time status data, perform lead wire status trend prediction and risk assessment, and generate a lead wire risk assessment result.

[0010] In a possible implementation, the capacitor lead wire state monitoring system based on optical fiber sensing also performs the following processing: using the multiple strong-influence environmental indicator sequences to respectively predict environmental trend changes, and generating multiple environmental impact factors according to the predicted direction of changes, wherein the environmental impact factors include positive impact factors and negative impact factors; extracting multiple lead wire state indicator values ​​based on the lead wire real-time state data, constructing a basic decision matrix after normalization, and calibrating the basic decision matrix through the multiple environmental impact factors to generate a risk decision matrix; defining ideal solutions and negative ideal solutions for the multiple key monitoring nodes respectively; based on the risk decision matrix, combining the ideal solution and the negative ideal solution, performing lead wire state risk assessment to generate a lead wire risk assessment result.

[0011] In a possible implementation, the fiber optic sensing-based capacitor lead wire state monitoring system further performs the following processing: for each key monitoring point, extracting multiple sample lead wire state index values ​​based on the risk decision matrix; based on the multiple sample lead wire state index values, respectively calculating their relative distances to the ideal solution and the negative ideal solution, and calculating the relative proximity of each key monitoring point based on the relative distances; combining the relative proximity of each key monitoring point, comprehensively evaluating the overall risk of the lead wire, and generating a lead wire risk assessment result.

[0012] In a possible implementation, the capacitor lead wire status monitoring system based on optical fiber sensing further performs the following processing: constructing a basic decision matrix, which is expressed as: ; Among them, m is the number of key monitoring points, n is the number of monitoring indicators, Indicates the value of the mth monitoring point on the nth indicator.

[0013] The capacitor lead wire status monitoring system based on optical fiber sensing proposed in this application includes a strong impact environment index determination module, which is used to analyze and determine strong impact environment indicators and match the optical fiber sensor type; an optical fiber sensing module acquisition module, which is used to sequentially deploy optical fiber sensing equipment; a lead wire status monitoring module, which is used to perform real-time status monitoring of the target capacitor lead wire; a working environment monitoring module, which is used to obtain real-time working environment data; and a lead wire status warning module, which is used to predict status trends and provide lead wire status warnings. This solves the technical problems in the prior art that the capacitor lead wire monitoring is not real-time and cannot effectively cope with the influence of complex working environments, resulting in poor capacitor fault warning capabilities and safety, and realizes real-time and high-precision capacitor lead wire status monitoring, achieving the technical effect of improving capacitor fault warning capabilities and operational safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solution of the embodiment of the present disclosure, the accompanying drawings of the embodiment of the present disclosure will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the system according to the embodiment of the present application. It should be understood that the preceding or following operations are not necessarily performed accurately in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0015] Figure 1 A schematic diagram of the structure of a capacitor lead wire status monitoring system based on optical fiber sensing provided in an embodiment of the present application; Figure 2 A schematic diagram of the execution flow of a module for determining a strong-impact environmental indicator in a capacitor lead-out line status monitoring system based on optical fiber sensing provided in an embodiment of the present application.

[0016] Explanation of the reference numerals: strong impact environment index determination module 10, optical fiber sensing module acquisition module 20, lead-out line status monitoring module 30, working environment monitoring module 40, lead-out line status early warning module 50. DETAILED DESCRIPTION

[0017] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0018] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0019] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0020] The present application embodiment provides a capacitor lead wire status monitoring system based on optical fiber sensing, such as Figure 1 As shown, the system comprises: The strong impact environment index determination module 10 is used to analyze and determine the strong impact environment index based on the basic environmental attributes of the workplace of the target capacitor, and match the optical fiber sensor type with high adaptability according to the strong impact environment index.

[0021] Preferably, the working environment of the target capacitor is analyzed to identify the basic environmental parameters that may affect the state of the capacitor lead wires, such as temperature, humidity, electromagnetic interference, vibration, dust concentration, gas composition, etc., and then determine the strong environmental indicators, that is, from the basic environmental parameters, select the indicators that have the greatest impact on the state of the capacitor lead wires and the monitoring accuracy (i.e., strong environmental indicators). For example, in a high-temperature environment, temperature may be the main influencing factor; while in a chemical plant environment, gas corrosion may be an important indicator; finally, according to the determined strong environmental indicators, select the type of optical fiber sensor that can adapt to specific environmental conditions, for example, for a high-temperature environment, select a high-temperature resistant optical fiber sensor, such as a fiber Bragg grating sensor (FBG); for a wide range of temperature and vibration monitoring environments, select a distributed optical fiber sensor (DTS / DAS); for temperature monitoring of an environment that is sensitive to temperature changes, select a Raman scattering optical fiber sensor, etc. Through analysis and matching, the most suitable sensor type is selected in different environments to ensure the accuracy and reliability of monitoring.

[0022] The optical fiber sensing module acquisition module 20 is used to extract the key monitoring points of the lead wires of the target capacitor, and arrange the optical fiber sensing equipment in sequence according to the optical fiber sensor type to obtain the optical fiber sensing module. At the same time, according to the spatial structure layout of the workplace of the target capacitor, an environmental monitoring module is arranged.

[0023] Preferably, the areas on the capacitor lead wires that are most prone to problems or are critical to the operation of the equipment are extracted as key monitoring points, which may include connection parts (the connection between the lead wire and the capacitor body), bending or turning points (stress concentration areas of the lead wire), high temperature areas or areas with strong electromagnetic interference, and terminal connection points (the ends connected to the load are prone to loosening or oxidation due to vibration or temperature changes). Sensors are arranged in the areas that need to be monitored most according to the key monitoring points to ensure that the most representative and critical capacitor lead wire status data can be collected; then the monitoring points are arranged according to the selected fiber optic sensor type (such as FBG or distributed fiber optic sensor), that is, the sensors are applied, wrapped or fixed to the predetermined position according to the physical structure of the lead wire to ensure the sensor Optical fiber can cover all key monitoring points to form an optical fiber sensing module, in which the optical fiber sensing module refers to a monitoring unit composed of deployed optical fiber sensors and their supporting equipment (such as signal demodulators and data acquisition equipment), which can collect capacitor lead wire status data in real time and accurately; at the same time, according to the spatial structure of the target capacitor workplace (such as indoors, outdoors, equipment layout density, etc.), the environmental monitoring equipment (modules that monitor the working environment parameters of the capacitor) is reasonably arranged, such as temperature sensors (such as monitoring corners with poor heat dissipation), humidity sensors, electromagnetic field monitoring equipment (areas near capacitors or lead wires, monitoring electromagnetic interference) and vibration monitoring sensors (installed on the foundation or capacitor body near the equipment to monitor the impact caused by external mechanical vibration). By combining the spatial structure design and layout position, the environmental monitoring module can collect environmental data of the workplace in all directions to ensure the safety and stability of the target capacitor lead wire and its working environment.

[0024] The lead wire status monitoring module 30 is used to use the optical fiber sensing module to perform real-time status monitoring of the lead wires of the target capacitor and obtain real-time status data of the lead wires.

[0025] Preferably, the real-time status monitoring of the lead wire of the target capacitor is performed through the optical fiber sensing module, which may include but is not limited to the temperature status, stress / tension status, vibration status and current overload status, etc. Specifically, the optical fiber sensing module converts physical quantities (such as temperature, stress, vibration) into optical signals through optical fiber sensors, and generates real-time status data of the lead wire after demodulation and processing, specifically including the optical fiber sensor at the key position of the capacitor lead wire, continuously collecting real-time information of temperature, vibration or stress, and transmitting the collected data to the demodulation device through the optical fiber sensor, and completing the signal transmission in a high-speed and low-interference manner. The fiber demodulator converts optical signals into electrical signals, analyzes and organizes them in the data processing unit, and generates clear and usable status data, including temperature status (monitoring the real-time temperature of the lead wire to prevent insulation aging or melting due to excessive temperature rise), stress / tension status (detecting whether the lead wire is subjected to excessive mechanical tension or stress to avoid breakage or connection failure), vibration status (monitoring whether the lead wire is subjected to abnormal vibration during work, and timely detecting external mechanical shock or environmental interference) and current overload status (indirectly reflected through temperature changes, when the lead wire current is overloaded, it will cause overheating, and the optical fiber sensor can detect it in time through temperature measurement). Through real-time status data analysis, not only can abnormal problems of the lead wire be discovered, but potential faults can also be predicted based on data trends, thereby ensuring the safe and stable operation of power equipment.

[0026] The working environment monitoring module 40 is used to use the environment monitoring module to perform real-time working environment monitoring and obtain real-time working environment data.

[0027] Preferably, an environmental monitoring module (including environmental sensors, data acquisition units, communication modules and data analysis modules) is used to perform real-time working environment monitoring, that is, to obtain real-time workplace environmental data of the target capacitor to help evaluate the working status of the capacitor under specific environmental conditions and predict the state changes of its lead wires. The acquired real-time working environment data may include temperature data, humidity data, pH data, electromagnetic interference data, gas composition data, vibration data, air pressure data, etc., which reflects the changes in the environment where the capacitor is located, and is combined with the capacitor's status data to provide support for capacitor status evaluation, fault prediction and risk warning, thereby ensuring the stability and safety of the power system.

[0028] The lead wire status warning module 50 is used to perform real-time status evaluation based on the lead wire real-time status data, and extract the strong impact environment indicator value to predict the status trend in combination with the real-time working environment data, and issue a lead wire status warning based on the prediction result.

[0029] Preferably, a real-time status assessment is performed based on the real-time status data of the lead wire, that is, calculation and assessment are performed through the collected sensor data (such as temperature exceeding the limit, excessive stress, vibration amplitude, etc.) to determine whether the lead wire is in a safe working state. For example, if the temperature exceeds the safety threshold, it means that the lead wire may be at risk of overload or failure; if the stress is too large, it may cause the capacitor lead wire to be damaged or aged; then combined with the real-time working environment data, the values ​​of strong influencing environmental indicators are extracted to predict the status trend. Specifically, the real-time status data of the lead wire (such as temperature and stress) and the environmental monitoring data (such as temperature, humidity, electromagnetic interference, etc.) are combined to analyze how these environmental factors affect the health status of the lead wire, and extract the environmental indicators that have the greatest impact on the status of the lead wire. For example, environmental factors such as high temperature, high humidity, and strong electromagnetic interference may accelerate the aging or corrosion of the capacitor lead wire, thereby increasing the risk of failure. Based on machine learning and data Mining and other methods are used to perform time series analysis on historical data such as temperature, stress, vibration, etc. of the lead wires, identify the correlation between the state and environmental factors, build a prediction model to determine the impact of environmental changes on the lead wires, and predict the future state change trend of the lead wire state based on the real-time state and environmental data. As the prediction result, for example, if the current temperature continues to rise and the humidity gradually increases, it may be predicted that the lead wire will enter an overheating state or the insulation performance will decrease. Finally, the lead wire state warning is issued based on the prediction results. That is, when the prediction results show that the state of the lead wire tends to an unsafe range, for example, parameters such as temperature, stress, vibration, etc. exceed the preset safety threshold, and the environmental conditions (such as high temperature or high humidity) show a significant negative correlation with the health of the lead wire. The trend prediction model shows that the equipment will enter a fault state in a short period of time, which automatically triggers a warning, thereby effectively preventing the failure of the capacitor lead wire and ensuring the stability and safety of the equipment.

[0030] The capacitor lead wire state monitoring system based on optical fiber sensing according to the embodiment of the present invention is used to solve the technical problems existing in the prior art that the capacitor lead wire monitoring is not real-time and cannot effectively cope with the influence of complex working environment, resulting in poor capacitor fault warning ability and safety, and realizes real-time and high-precision capacitor lead wire state monitoring, achieving the technical effect of improving capacitor fault warning ability and operation safety. The capacitor lead wire state monitoring system based on optical fiber sensing includes: a strong impact environmental index determination module 10, an optical fiber sensing module acquisition module 20, a lead wire state monitoring module 30, a working environment monitoring module 40, and a lead wire state warning module 50.

[0031] The specific configuration of the strong impact environment index determination module 10 will be described in detail below. Figure 2As shown, the strong impact environment indicator determination module 10 may further include: obtaining basic environmental attributes of the workplace of the target capacitor, wherein the basic environmental attributes include at least temperature, humidity, pH, electromagnetic interference and vibration interference; based on the basic environmental attributes, performing monitoring interference analysis and lead wire performance impact analysis respectively, and performing fusion analysis and sorting to generate an environmental impact indicator sequence; based on the environmental impact indicator sequence, extracting strong impact environment indicators, and matching highly adaptable optical fiber sensor types according to the strong impact environment indicator types.

[0032] Preferably, the basic environmental properties of the workplace of the target capacitor are obtained, that is, the environmental parameters in the capacitor workplace that affect the performance of the capacitor and its lead wires, mainly including temperature (high temperature accelerates material aging, and low temperature may affect the responsiveness and stability of the equipment), humidity (excessive humidity may cause condensation or corrosion on the lead wires and capacitor surfaces), pH (different pH values ​​may corrode materials, which may accelerate the aging of lead wires and corrosion of capacitors), electromagnetic interference (affecting the stability and accuracy of sensor signals, strong electromagnetic fields may cause optical fiber sensor signals to be affected, affecting monitoring results) and vibration interference (mechanical equipment, earthquakes or external vibrations may have physical effects on capacitors and lead wires, causing material fatigue or mechanical damage).

[0033] Preferably, monitoring interference analysis and lead wire performance impact analysis are performed separately according to basic environmental attributes and fusion analysis and sorting are performed, wherein monitoring interference analysis is to evaluate how various factors in the environment affect the monitoring accuracy and stability of the optical fiber sensor, including electromagnetic interference analysis, evaluating how electromagnetic interference (EMI) in the environment affects the signal transmission and data acquisition accuracy of the optical fiber sensor; vibration interference analysis, evaluating the impact of vibration in the working environment on the optical fiber sensor; lead wire performance impact analysis refers to analyzing how environmental factors affect the performance of the capacitor lead wire, including temperature and humidity analysis, pH analysis, vibration analysis, etc.; then, based on the monitoring interference analysis results and the lead wire performance impact analysis results, a fusion analysis is performed to combine all environmental factors to evaluate their comprehensive impact on the lead wire, and these environmental factors are sorted according to the degree of impact of different environmental factors on the lead wire state and sensor performance, and an environmental impact index sequence is generated; finally, based on the environmental impact index sequence, the environmental factors that have the greatest impact on the lead wire state, that is, the strong impact environmental indicators, are extracted, and based on the extracted strong impact environmental indicators, a highly adaptable optical fiber sensor type is selected for each environmental factor to ensure that the sensor can perform at its best in a specific working environment and provide accurate and reliable monitoring data.

[0034] The specific configuration of the optical fiber sensing module acquisition module 20 will be described in detail below. The optical fiber sensing module acquisition module 20 may further include: performing centralized analysis based on the fault record data of the target capacitor lead wire, and extracting the key monitoring points of the target capacitor lead wire in combination with the conventional weak point location; obtaining the environmental change interval of the target location; based on the environmental change interval, configuring daily operation equipment and emergency activation equipment for each optical fiber sensor type, and deploying them at the corresponding key monitoring nodes to obtain the optical fiber sensing module.

[0035] Preferably, the fault record data of the target capacitor lead wire (fault type, fault time, cause, fault location, etc. that occurred during the operation of the equipment) is obtained from the historical data, and centralized analysis is performed to identify common fault modes of the capacitor lead wire, such as overheating, mechanical damage, aging, poor contact, etc. Based on the fault data analysis and in combination with the common weak point locations of the lead wire, key monitoring points are extracted as the key monitoring points of the target capacitor lead wire, for example, the connection end, corner, vibration-prone area, or temperature-prone area of ​​the capacitor lead wire; based on the environmental data of the workplace where the capacitor lead wire is located (such as temperature, humidity, electromagnetic Interference, vibration, etc.), obtain the change range (interval) of environmental factors within a certain period, that is, the environmental change interval; then, according to the characteristics of the target environment and the adaptability of the sensor, configure the fiber optic sensor equipment for daily operation. Different types of fiber optic sensors are suitable for different environmental change intervals. For situations where extreme environmental conditions or sudden failures may occur, configure emergency fiber optic sensor equipment. Finally, according to the extracted key monitoring points, fiber optic sensors are deployed in the weak parts or key areas of the lead-out wires of the target capacitor. All deployed fiber optic sensor equipment is connected through an appropriate network to form a fiber optic sensing module for real-time monitoring of the status of the lead-out wires.

[0036] The specific configuration of the lead wire status warning module 50 will be described in detail below. The lead wire status warning module 50 may further include: receiving the lead wire real-time status data, extracting multiple lead wire status indicators to perform single indicator status evaluation and comprehensive indicator status evaluation respectively, and generating real-time status evaluation results; performing abnormality determination based on the real-time status evaluation results, and directly performing status warning if abnormality is determined, and extracting strong impact environment indicator values ​​to perform status trend prediction in combination with the real-time working environment data if no abnormality is determined.

[0037] Preferably, the real-time status data of the lead wire is received and multiple lead wire status indicators are extracted, and single indicator status evaluation and comprehensive indicator status evaluation are performed respectively. Specifically, the single indicator status evaluation refers to the evaluation of each status indicator (temperature, stress, vibration, etc.) separately to determine whether it is within the normal range, that is, to compare the real-time data with the preset safety threshold, such as whether the temperature exceeds the specified working range, whether the stress exceeds the elastic limit of the material, and analyze the short-term trend (such as a sudden increase in temperature or increased vibration). If a single indicator exceeds the normal range, it is marked as abnormal; the comprehensive indicator status evaluation refers to the evaluation of the overall health status of the lead wire through comprehensive analysis of multiple indicators, such as assigning weights to different indicators, comprehensively calculating the health index, and then combining the two evaluation results to generate a real-time status evaluation result; then, an abnormality judgment is made based on the real-time status evaluation result. If a single indicator or a comprehensive evaluation result is exceeded, the health index is calculated comprehensively, and the health index is calculated comprehensively. If the evaluation result shows an abnormality, a status warning is directly triggered. If all indicators are within the normal range or the overall health status is good, the real-time working environment data is combined to extract the values ​​of strong environmental indicators for status trend prediction. Specifically, the real-time working environment data (such as temperature, humidity, electromagnetic interference, and vibration) are combined with the lead-out line status data to analyze whether environmental factors may cause status changes. The environmental factors that have the greatest impact on the lead-out line (strong environmental indicators) are extracted from the environmental data, and a time series model is constructed to analyze the data change trend. That is, based on the current status of the lead-out line and the environmental impact indicators, its future health status is predicted. If the trend shows normal, continue monitoring without taking emergency measures. If the trend shows potential abnormalities, an early warning is issued to indicate impending problems, thereby improving the accuracy and foresight of monitoring and improving the safety and reliability of power equipment operation.

[0038] The specific configuration of the lead wire status warning module 50 will be described in detail below. The lead wire status warning module 50 may further include: extracting a strong impact environment index value based on the real-time working environment data, the strong impact environment index value includes a plurality of strong impact environment index sequences, including a temperature change sequence, a humidity change sequence, a pH change sequence, an electromagnetic interference change sequence, and a vibration interference change sequence; according to the plurality of strong impact environment index sequences, combined with the lead wire real-time status data, performing lead wire status trend prediction and risk assessment, and generating a lead wire risk assessment result.

[0039] Preferably, strongly influencing environmental indicator values ​​are extracted from the real-time working environment data, that is, multiple strongly influencing environmental indicator sequences of different types, including temperature change sequence (recording changes in temperature in the working environment), humidity change sequence (changes in environmental humidity, such as the impact of increases and decreases in humidity on equipment insulation, corrosion, etc.), pH change sequence (changes in pH in the environment), electromagnetic interference change sequence (changes in electromagnetic field strength), and vibration interference change sequence (vibration in the environment). The real-time working environment data is combined with the real-time status data of the lead-out line (such as temperature, stress, vibration, strain, etc.) to more comprehensively understand the working status of the lead-out line, and then the lead-out line status trend is predicted, that is, the historical data is modeled using an event sequence analysis model, and the relationship between the lead-out line status and environmental changes is analyzed. By analyzing the historical data of multiple strongly influencing environmental indicator sequences (such as temperature, humidity, vibration, etc.), potential trends are identified, and based on the current real-time data and its change trends (such as continued increase in temperature, increase in humidity, etc.), the possible future status of the lead-out line is predicted, and potential risks are identified in advance.

[0040] Preferably, a risk assessment is performed based on the results of the state trend prediction and the current health status of the lead wires, that is, the risk level in the future period is assessed, including dividing the risk level of the lead wires into different levels according to the prediction results and the assessment model, such as low risk, environmental conditions and lead wire status are within the normal range, and the future trend is stable; medium risk, certain environmental factors may cause the lead wire performance to degrade, and close attention is required; high risk, the lead wire status and environmental factors show signs of impending failure, and measures need to be taken to intervene; and then a risk assessment result of the lead wire is generated, including possible problems that may arise in the lead wire in the future, such as excessive temperature, excessive stress, humidity influence, etc., so that potential failure risks can be identified in advance and timely measures can be taken to ensure the safety and stability of power equipment.

[0041] The specific configuration of the lead wire status warning module 50 will be described in detail below. The lead wire status warning module 50 may further include: using the multiple strong environmental indicator sequences to predict environmental trend changes respectively, and generating multiple environmental impact factors according to the change prediction direction, wherein the environmental impact factors include positive impact factors and negative impact factors; extracting multiple lead wire status indicator values ​​based on the lead wire real-time status data, constructing a basic decision matrix after normalization, and calibrating the basic decision matrix through the multiple environmental impact factors to generate a risk decision matrix; defining ideal solutions and negative ideal solutions for the multiple key monitoring nodes respectively; based on the risk decision matrix, combining the ideal solution and the negative ideal solution, conducting a lead wire status risk assessment to generate a lead wire risk assessment result.

[0042] Preferably, by analyzing multiple sequences of strongly influencing environmental indicators (such as temperature changes, humidity changes, pH changes, electromagnetic interference, vibration interference, etc.), the direction of environmental changes is predicted. For example, the temperature and humidity may continue to rise in the next few hours, the electromagnetic interference may gradually weaken, or the vibration interference may have an increasing trend, thereby generating multiple environmental influencing factors, including positive influencing factors and negative influencing factors, wherein the positive influencing factors are environmental factors that have a favorable effect on the performance of the lead wire, and the negative influencing factors are environmental factors that have an adverse effect on the performance of the lead wire; extracting multiple lead wire state indicator values ​​according to the real-time state data of the lead wire, and performing normalization processing so that different types of state data (temperature, vibration, stress, etc.) have the same dimension, that is, standardizing the values ​​of all indicators to the same range (for example, 0 to 1), and then constructing a basic decision matrix with the normalized lead wire state indicator values, wherein each column represents a state indicator, each row represents a monitoring node or monitoring time, and the value in the matrix represents the specific health state of the lead wire.

[0043] Preferably, the basic decision matrix is ​​modified by introducing environmental influencing factors (positive and negative factors), that is, the original values ​​in the basic decision matrix are adjusted according to the influence of environmental influencing factors on the risk assessment of the lead-out line. The calibrated matrix is ​​called the risk decision matrix, which comprehensively considers the lead-out line status data and environmental influencing factors, and generates a corresponding risk score for each lead-out line status; for each key monitoring node, an ideal solution and a negative ideal solution are defined respectively, where the ideal solution represents the most ideal state of the lead-out line, usually when all the lead-out line status indicator values ​​reach the optimal level (for example, temperature, stress, vibration, etc. are all within the optimal range, and the environmental influencing factors are zero or positive), and the negative ideal solution represents The worst state of the lead wire is usually when all the state index values ​​of the lead wire reach the worst level (for example, the temperature is too high, the stress is too large, the vibration is too strong, and the negative effects of environmental factors are serious); finally, according to the risk decision matrix, combined with the ideal solution and the negative ideal solution, the lead wire state risk assessment is carried out to assess the risk level of the lead wire, including the use of decision models such as multi-attribute decision analysis (MCDM) and TOPSIS method (approximate ideal solution method). According to the distance between each lead wire monitoring point and the ideal solution / negative ideal solution, the risk assessment result of the lead wire is calculated to generate the final lead wire risk assessment result, which reflects the risk state of each monitoring point of the lead wire and is helpful for subsequent preventive maintenance and risk management.

[0044] The specific configuration of the lead wire state warning module 50 will be described in detail below. The lead wire state warning module 50 may further include: for each key monitoring point, extracting multiple sample lead wire state index values ​​based on the risk decision matrix; based on the multiple sample lead wire state index values, respectively calculating the relative distances to the ideal solution and the negative ideal solution, and calculating the relative proximity of each key monitoring point according to the relative distance; combining the relative proximity of each key monitoring point, comprehensively evaluating the overall risk of the lead wire, and generating a lead wire risk evaluation result.

[0045] Preferably, for each key monitoring point (such as the connection point of the capacitor lead wire, the corner point, the vibration high-incidence area, etc.), a plurality of sample data points are extracted from the lead wire state data collected in real time based on the risk decision matrix, and then the relative distances to the ideal solution and the negative ideal solution are calculated respectively according to the extracted plurality of sample lead wire state index values, for example, the relative distance calculation is performed using Euclid; then the relative proximity of each monitoring point is calculated according to the two relative distances, that is, the proximity of the key monitoring point to the ideal solution, ranging from 0 to 1, close to 1 means that the key monitoring point is closer to the ideal solution, and close to 0 means that it is close to the negative ideal solution; then, combined with each The relative proximity of each key monitoring point is used to comprehensively evaluate the overall risk of the lead-out line and generate the risk assessment result of the lead-out line. Specifically, the changing trend of the lead-out line status is judged according to the relative proximity of each key monitoring point. For example, if most of the monitoring points are close to the ideal solution (i.e., close to 1), it means that the lead-out line is in good condition; if most of the monitoring points are close to the negative ideal solution (i.e., close to 0), it means that the lead-out line has a high risk; finally, according to the value of relative proximity, the overall risk of the lead-out line is evaluated. If the relative proximity of some monitoring points is lower than the set threshold, it means that the point has a high risk and needs timely warning.

[0046] The specific configuration of the lead-out line status warning module 50 will be described in detail below. The lead-out line status warning module 50 may further include: constructing a basic decision matrix, which is expressed as: ; Among them, m is the number of key monitoring points, n is the number of monitoring indicators, It shows the value of the mth monitoring point on the nth indicator.

[0047] Preferably, What is stored is the measured value of monitoring point m on indicator n. The state of each monitoring point at different times will be recorded to form the corresponding state data. For example, at monitoring point For example, at the connection point of the capacitor lead wire, there may be multiple monitoring indicators, such as temperature, stress, vibration, etc. The value of each monitoring indicator (such as temperature 45°C, stress 20N) is filled in the corresponding position in the basic decision matrix.

[0048] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, and the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0049] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. A capacitor lead wire status monitoring system based on optical fiber sensing, characterized in that: The system comprises: A strong impact environmental index determination module is used to analyze and determine the strong impact environmental index based on the basic environmental attributes of the workplace of the target capacitor, and match the optical fiber sensor type with high adaptability according to the strong impact environmental index; The optical fiber sensing module acquisition module is used to extract the key monitoring points of the lead wire of the target capacitor, and arrange the optical fiber sensing equipment in sequence according to the optical fiber sensor type to obtain the optical fiber sensing module. At the same time, according to the spatial structure layout of the workplace of the target capacitor, the environmental monitoring module is arranged; A lead wire status monitoring module, used to use the optical fiber sensing module to perform real-time status monitoring of the lead wires of the target capacitor and obtain real-time status data of the lead wires; A working environment monitoring module is used to use the environment monitoring module to perform real-time working environment monitoring and obtain real-time working environment data; The lead wire status warning module is used to perform real-time status evaluation based on the real-time status data of the lead wire, and extract the strong impact environment indicator value to predict the status trend in combination with the real-time working environment data, and issue a lead wire status warning based on the prediction result.

2. The capacitor lead wire status monitoring system based on optical fiber sensing according to claim 1, characterized in that: The strong impact environmental index determination module includes: A basic environmental attribute acquisition unit, which acquires basic environmental attributes of a workplace of a target capacitor, wherein the basic environmental attributes include at least temperature, humidity, pH, electromagnetic interference, and vibration interference; An environmental impact indicator sequence generation unit is used to perform monitoring interference analysis and lead-out line performance impact analysis based on the basic environmental attributes, and to perform fusion analysis and sorting to generate an environmental impact indicator sequence; The strong impact environment indicator extraction unit is used to extract the strong impact environment indicator based on the environmental impact indicator sequence, and match the optical fiber sensor type with high adaptability according to the strong impact environment indicator type.

3. The capacitor lead wire status monitoring system based on optical fiber sensing according to claim 1, characterized in that: The optical fiber sensing module acquisition module comprises: A key monitoring point extraction unit is used to perform centralized analysis based on the fault record data of the target capacitor lead wire and extract the key monitoring points of the target capacitor lead wire in combination with the conventional weak point locations; An environmental change interval acquisition unit, used to acquire the environmental change interval of a target location; The equipment configuration unit is used to configure daily operation equipment and emergency activation equipment for each type of optical fiber sensor based on the environmental change interval, and deploy them at corresponding key monitoring nodes to obtain the optical fiber sensing module.

4. The capacitor lead wire status monitoring system based on optical fiber sensing according to claim 1, characterized in that: The lead-out line status warning module comprises: An indicator status evaluation unit, used for receiving the real-time status data of the lead wire, extracting a plurality of lead wire status indicators, respectively performing single indicator status evaluation and comprehensive indicator status evaluation, and generating a real-time status evaluation result; The abnormality determination unit is used to make abnormality determination based on the real-time status assessment result. If it is determined to be abnormal, a status warning is directly issued. If it is determined to be no abnormality, the real-time working environment data is combined to extract the strong influencing environment indicator value to predict the status trend.

5. The capacitor lead wire status monitoring system based on optical fiber sensing as claimed in claim 4, characterized in that: The lead-out line status warning module comprises: A strong impact environment indicator value extraction unit, used to extract a strong impact environment indicator value based on the real-time working environment data, wherein the strong impact environment indicator value includes a plurality of strong impact environment indicator sequences, including a temperature change sequence, a humidity change sequence, a pH change sequence, an electromagnetic interference change sequence, and a vibration interference change sequence; The lead-out line risk assessment result generating unit is used to perform lead-out line state trend prediction and risk assessment according to the multiple strong impact environment indicator sequences and in combination with the lead-out line real-time state data, and generate a lead-out line risk assessment result.

6. The capacitor lead wire status monitoring system based on optical fiber sensing as claimed in claim 5, characterized in that: The lead-out line status warning module comprises: An environmental impact factor generating unit, used to use the multiple sequences of strong environmental impact indicators to respectively predict environmental trend changes, and generate multiple environmental impact factors according to the change prediction direction, wherein the environmental impact factors include positive impact factors and negative impact factors; A basic decision matrix construction unit is used to extract multiple lead state index values ​​based on the lead real-time state data, construct a basic decision matrix after normalization, and calibrate the basic decision matrix through the multiple environmental influencing factors to generate a risk decision matrix; A solution definition unit, used to define an ideal solution and a negative ideal solution for the plurality of key monitoring nodes respectively; The lead state risk assessment unit is used to perform lead state risk assessment based on the risk decision matrix and in combination with the ideal solution and the negative ideal solution to generate a lead risk assessment result.

7. The capacitor lead wire status monitoring system based on optical fiber sensing according to claim 6, characterized in that: The lead-out line status warning module comprises: A sample lead state index value extraction unit, used for extracting a plurality of sample lead state index values ​​based on the risk decision matrix for each key monitoring point; A relative distance calculation unit, used to calculate the relative distances to the ideal solution and the negative ideal solution based on the plurality of sample lead state index values, and calculate the relative proximity of each key monitoring point according to the relative distances; The comprehensive risk assessment unit is used to comprehensively assess the overall risk of the lead-out line based on the relative proximity of each key monitoring point and generate a risk assessment result for the lead-out line.

8. The capacitor lead wire status monitoring system based on optical fiber sensing according to claim 6, characterized in that: The lead-out line status warning module also includes: The construction of the basic decision matrix is ​​expressed as: ； Among them, m is the number of key monitoring points, n is the number of monitoring indicators, Indicates the value of the mth monitoring point on the nth indicator.

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