CN117639251A - Intelligent online monitoring system for high-voltage switch cabinet - Google Patents

Intelligent online monitoring system for high-voltage switch cabinet Download PDF

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Publication number
CN117639251A
CN117639251A CN202311615008.4A CN202311615008A CN117639251A CN 117639251 A CN117639251 A CN 117639251A CN 202311615008 A CN202311615008 A CN 202311615008A CN 117639251 A CN117639251 A CN 117639251A
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data
switch cabinet
unit
voltage switch
module
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鱼明
石向峰
高玺
刘森威
贾探喜
李伟
李栋
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Luliang Power Supply Co of State Grid Shanxi Electric Power Co Ltd
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Luliang Power Supply Co of State Grid Shanxi Electric Power Co Ltd
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Abstract

The invention discloses an intelligent online monitoring system of a high-voltage switch cabinet, which belongs to the technical field of detection of the high-voltage switch cabinet and comprises a data acquisition module, a data processing module, a decision support module and a system application module, wherein the data acquisition module comprises a sensor unit and an acquisition unit, the data processing module comprises a data detection unit, an early warning unit and an analysis statistics unit, and the decision support module comprises a data analysis unit and a suggestion processing unit. The method realizes real-time monitoring and management of the high-voltage switch cabinet through data acquisition and processing, intelligent analysis and decision and system application and verification methods, has higher accuracy and reliability, improves the operation efficiency and safety of the switch cabinet, has a certain application prospect and popularization value, and provides reliable technical support for the maintenance and operation of the switch cabinet in practical application.

Description

Intelligent online monitoring system for high-voltage switch cabinet
Technical Field
The invention belongs to the technical field of high-voltage switch cabinet detection, and particularly relates to an intelligent online monitoring system for a high-voltage switch cabinet.
Background
The high-voltage switch cabinet is an important device in a power system, and has the main functions of performing switching control of electric energy and protection of electrical equipment in the power system, and the stable operation of the high-voltage switch cabinet is important to ensure the normal operation of the power system, so that the reliability and safety requirements of the high-voltage switch cabinet are higher and higher along with the development of the power system, however, due to the specificity of the operating environment of the high-voltage switch cabinet and the increase of the workload, problems such as electric leakage, overload and overvoltage often occur, the normal operation of the power system and the stability of the device are threatened to a certain extent, and due to the complexity and the specificity of the operating environment of the high-voltage switch cabinet, the interruption of the power system, even the fault, is often caused once the fault or abnormal condition occurs, so that the high-voltage switch cabinet is monitored in real time, and the potential problems are found and processed in time.
In order to solve the problem, some monitoring methods and devices, such as infrared monitoring technology and image processing technology, are proposed, however, these methods have some limitations and disadvantages, such as inaccuracy of monitoring data, complexity of a sensor, high cost of the device, and the like, so that an intelligent online monitoring system of the high-voltage switch cabinet is developed to monitor the working state and health condition of the high-voltage switch cabinet in real time, and the intelligent online monitoring system has important theoretical significance and practical application value.
Disclosure of Invention
The technical problem to be solved by the invention is to overcome the defects of the prior art and provide an intelligent online monitoring system for a high-voltage switch cabinet.
The technical scheme adopted for solving the technical problems is as follows: an intelligent online monitoring system of a high-voltage switch cabinet comprises a data acquisition module, a data processing module, a decision support module and a system application module;
the data acquisition module comprises a sensor unit and an acquisition unit;
the sensor unit and the acquisition unit in the data acquisition module are responsible for acquiring various key parameters and signal data from the high-voltage switch cabinet, and the module acquires physical quantities such as current, voltage, temperature and the like of the switch cabinet and state information of the switch through the sensor and the data acquisition equipment, and the data are transmitted to the data processing module in real time for further analysis and processing;
the data processing module comprises a data detection unit, an early warning unit and an analysis and statistics unit;
the data detection unit in the data processing module receives the data from the data acquisition module, processes and analyzes the data, monitors and predicts the data in real time through an algorithm and a model to detect abnormal conditions and early warning risks, and can realize early warning through the early warning unit;
the decision support module comprises a data analysis unit and a suggestion processing unit;
the decision support module is integrated with other systems to realize more intelligent and automatic control and management;
the system application module comprises a detection management unit, a system evaluation unit and a system test unit;
the system comprises a detection management unit, a system test unit, a system application module, a system evaluation unit and a system control unit, wherein the detection management unit displays monitoring results and reports to a user through a visual interface and a user-friendly operation mode, provides functions of operation and configuration, enables the user to monitor and manage an intelligent online monitoring system through the system application module, and is linked and cooperated with other systems, the system evaluation unit evaluates the performance and reliability of the system through actual application and verification of the system, and the system test unit performs comprehensive test before the system is online so as to ensure stable operation of the system.
Further, the data acquisition module and the data processing module acquire data of the high-voltage switch cabinet through the sensor unit and the sensor and the monitoring equipment in the acquisition unit, the real-time monitoring of current, voltage and temperature parameters is included, the acquired data is analyzed and processed, the processes of data filtering, data correction, feature extraction and the like are included, and the original data are converted into a data form which can be used for the next intelligent analysis.
According to the technical scheme, firstly, aiming at the intelligent online monitoring system of the high-voltage switch cabinet, the acquisition range and the acquisition frequency of data are required to be determined, parameters of the high-voltage switch cabinet comprise voltage, current, temperature and the like, the change of the parameters can reflect the state of the switch cabinet, the frequency of data acquisition is determined according to different monitoring requirements so as to ensure that sufficient data are acquired for subsequent analysis and decision making, secondly, proper sensors and instrument equipment are selected for data acquisition, then, preprocessing is carried out on the acquired data, due to the fact that more interference factors in the actual environment exist on the acquired data, noise and abnormal values can influence the accuracy and reliability of the data, preprocessing steps such as filtering, abnormal value judgment and the like are required to be carried out on the acquired data, noise and abnormal values in the data are removed, therefore more accurate data are obtained, after the data acquisition stage is completed, the data acquisition stage comprises the steps of organizing and classifying the acquired parameters according to a certain format, the subsequent analysis and decision making are convenient, proper storage media and storage media are required to be selected for data acquisition, the data are required to be preprocessed, the data are required to be accurately stored, the data are required to be processed through the storage media and the storage media, the data are required to be matched with the data, the data can be accurately analyzed through the online analysis and the data is not required to be processed through the online analysis, and the online analysis method is required to be matched through the data, and the data is accurately or the data is analyzed through the online analysis method.
Further, the sensor unit comprises a current sensor, a voltage sensor, a temperature sensor and a humidity sensor which are respectively used for monitoring important parameters such as current, voltage, temperature and humidity of equipment so as to realize omnibearing monitoring of the running state of the high-voltage switch cabinet.
Through the technical scheme, the selection of the sensor and the instrument equipment is carried out according to specific monitoring requirements, factors such as the measuring range, the precision and the reliability of the sensor are required to be considered, and the accurate and reliable acquired data of various parameters of the high-voltage switch cabinet can be obtained through reasonably configuring the sensor and the instrument equipment.
Furthermore, the acquisition unit adopts a high-performance analog-to-digital conversion chip, can acquire data at a higher sampling rate, and performs real-time data transmission with the server through the communication interface.
Through the technical scheme, in the data acquisition and processing process, an advanced data acquisition device and technology are relied on, a reasonable and effective data processing method is adopted, the accuracy and reliability of acquired data are guaranteed, meanwhile, in order to improve the utilization value of the data, the acquired data are properly analyzed and processed, so that accurate monitoring and management of a high-voltage switch cabinet are realized, the effectiveness and feasibility of the data acquisition and processing method are further verified in the system design implementation and experiment verification stage, and the performance and parameters of the system are evaluated and optimized.
Furthermore, the data detection unit mainly collects and analyzes the collected data, an alarm is sent out through the early warning unit after the abnormal state is detected, the reason of the abnormality is judged according to the abnormal data, and the diagnosis and maintenance suggestions are provided through the analysis and statistics unit.
Through the technical scheme, the reasons of the abnormality can be rapidly judged, and related maintenance suggestions are provided, so that the whole system is more intelligent.
Furthermore, the decision support module analyzes the acquired data by using advanced machine learning and data mining algorithms, including abnormality detection and fault diagnosis, and realizes accurate judgment and prediction of the working state of the high-voltage switch cabinet by pattern recognition and feature extraction of the data, and timely sends out alarms and suggestions, so that the system provides more definite fault diagnosis and maintenance guidance according to the acquired data, thereby improving the maintenance efficiency and reducing the maintenance cost.
Through the technical proposal, firstly, various operation parameters and state information of a high-voltage switch cabinet are acquired through data acquisition and preprocessing, the data comprise monitoring data such as current, voltage, temperature and the like, and state data such as switch state, fault information and the like of the high-voltage switch, then, the acquired data are input into an intelligent analysis algorithm, data analysis and feature extraction are carried out through methods such as data mining, machine learning and the like, a state model and a fault early warning model of the high-voltage switch cabinet are established through analysis of historical data, basis is provided for subsequent decision, and based on the result of data analysis, the invention designs a set of intelligent decision system which can timely find potential fault risks and abnormal conditions through real-time monitoring and analysis of the state of the high-voltage switch cabinet, and judge and decide according to an early warning model and a rule base, for example, when the temperature of the high-voltage switch cabinet is found to be abnormally increased, the system can timely send out an alarm and take corresponding measures, such as automatically switching a standby high-voltage switch to ensure the stable operation of a power grid, meanwhile, the system can also provide operation advice and maintenance schemes for the high-voltage switch cabinet according to historical data and experience rules so as to optimize the operation of equipment and prolong the service life of the equipment, in order to realize the functions of intelligent analysis and decision, the invention also develops corresponding software and algorithms, in the aspect of software design, the system adopts modularized design and distributed deployment to realize the real-time acquisition, transmission, storage and processing of data, simultaneously, visual and clear monitoring results and reports are provided for users through graphical interfaces, data visualization and other technical means, for the decision algorithm of the system, the invention adopts various intelligent algorithms and models, for example, a neural network, fuzzy logic and the like can carry out intelligent analysis and decision on the running state of the high-voltage switch cabinet according to different monitoring data and state information, and meanwhile, in order to improve the reliability and stability of the system, the invention also adopts a multiple decision strategy, and the judgment accuracy of the system is improved by integrating a plurality of algorithm results.
Furthermore, the system application module realizes real-time monitoring and control through an interface with the high-voltage switch cabinet, and intelligent management of the high-voltage switch cabinet is realized, wherein the system evaluation unit evaluates the performance and reliability of the system through practical application and verification of the system, continuously optimizes the design and algorithm of the system, and simultaneously, the application of the system provides more reliable and timely support for the operation and maintenance of the high-voltage switch cabinet, and improves the operation efficiency and safety.
Through the technical scheme, in the design of the intelligent online monitoring system of the high-voltage switch cabinet, the system application and verification are an important link, the validity and the reliability of the designed system in practical application can be verified through a reasonable system application and verification process, and the performance and the advantages and the disadvantages of the intelligent online monitoring system of the designed high-voltage switch cabinet can be evaluated through the analysis and the summary of experimental results, so that the basis is provided for further optimization and improvement of the system.
Furthermore, the system test unit in the system application module also needs to test the performance of the system before the whole system is used, firstly, a proper test environment needs to be determined, including selecting a high-voltage switch cabinet for test and ensuring the authenticity and stability of the test environment, secondly, reasonable design of test data is needed, including data acquisition and processing results of the high-voltage switch cabinet in various working states, and finally, detailed test flows including data acquisition, analysis and evaluation are needed to be designed.
Through the technical scheme, in the system test implementation stage, the test is required to be performed according to the design of a test scheme and a preset test flow, specifically, the test implementation of the hardware design comprises the test of hardware equipment such as a sensor, a data acquisition module and a communication module; test implementation of software design, including testing of intelligent analysis algorithms and decision models; the test implementation of the whole system comprises the steps of testing and evaluating the whole operation effect and performance of the system, and in the analysis stage of the system test result, the test data are required to be comprehensively analyzed and processed, firstly, the collected data are analyzed item by item, and the change rule of parameters such as voltage, current, temperature and the like is analyzed; secondly, evaluating the performance of the system, including evaluating indexes such as response time, accuracy and reliability; finally, summarizing the advantages and the disadvantages of the system according to the experimental results, analyzing the feasibility and the applicability of the system in practical application, and comprehensively verifying and evaluating the designed intelligent online monitoring system of the high-voltage switch cabinet through experiments and analysis of system application and verification.
The beneficial effects of the invention are as follows: (1) According to the invention, by adopting a data acquisition and processing method, namely by installing a sensor in a high-voltage switch cabinet, the operation data of the switch cabinet, such as current, voltage, temperature and other parameters, are acquired in real time, the acquired data is processed, including filtering, noise reduction and other operations, so that the interference of the data is reduced, an accurate monitoring result is obtained, and the acquired data is analyzed and modeled by utilizing a data mining and machine learning method, so that the diagnosis and evaluation of the operation state of the high-voltage switch cabinet are realized, the operation state of the switch cabinet can be monitored in real time through statistics and analysis of the data, and abnormal conditions can be found in time and corresponding processing is performed. (2) According to the invention, by adopting an intelligent analysis and decision-making method, namely by carrying out intelligent analysis and processing on monitored data, the assessment and prediction of the operation state of the switch cabinet are obtained, a model is built on the basis of the existing data based on the algorithm of data mining and machine learning, the intelligent analysis and prediction of the operation state of the switch cabinet are realized through training and optimizing the model, potential faults and risks can be found in time through the assessment of the operation state of the switch cabinet, the occurrence of accidents is prevented in advance, and the normal operation of equipment is ensured. (3) The invention applies the monitoring result to the management and operation of the high-voltage switch cabinet and carries out actual verification, the monitoring result is intuitively displayed to operators through the interface which is designed to be visual and interactive, the operators are provided with real-time monitoring reports and early warning information, the operators are helped to know the operation state of the switch cabinet in time, and corresponding control measures are made.
Drawings
FIG. 1 is a block diagram of a high voltage switchgear system of the present invention
FIG. 2 is a block diagram of the intelligent monitoring system of the present invention;
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1-2, the intelligent online monitoring system for a high-voltage switch cabinet of the embodiment comprises a data acquisition module, a data processing module, a decision support module and a system application module.
The data acquisition module comprises a sensor unit and an acquisition unit; wherein, the sensor unit and the collecting unit in the data collecting module are responsible for collecting various key parameters and signal data from the high-voltage switch cabinet, the module obtains physical quantities such as current, voltage, temperature and the like of the switch cabinet and state information of the switch through the sensor and the data collecting equipment, the data are transmitted to the data processing module in real time for further analysis and processing, the data collecting module and the data processing module conduct data collection on the high-voltage switch cabinet through the sensor and the monitoring equipment in the sensor unit and the collecting unit, the collected data are analyzed and processed through the processes such as data filtering, data correction, feature extraction and the like, the original data are converted into a data form which can be used for the next intelligent analysis, firstly, the intelligent online monitoring system of the high-voltage switch cabinet is aimed at, the data acquisition range and the acquisition frequency need to be determined, the parameters of the high-voltage switch cabinet comprise voltage, current, temperature and the like, the changes of the parameters can reflect the state of the switch cabinet, the data acquisition frequency is determined according to different monitoring requirements so as to ensure that sufficient data are acquired for subsequent analysis and decision, then proper sensors and instrument equipment are selected for data acquisition, the acquired data are preprocessed, noise and abnormal values possibly exist in the acquired data due to more interference factors in the actual environment, the accuracy and the reliability of the data are influenced, therefore, the acquired data need to be subjected to preprocessing steps such as filtering, abnormal value judgment and the like, the noise and the abnormal value in the data are removed, more accurate data are obtained, after the data acquisition stage is completed, the data are required to be tidied and stored, the data arrangement comprises organizing and classifying the collected parameters according to a certain format, so that subsequent analysis and decision are facilitated, proper storage media and storage modes are needed to be selected for data storage, safe storage and timely access of the data are guaranteed, the collected data are analyzed and processed, different analysis methods and algorithms can be adopted for processing the data according to the requirements of the intelligent online monitoring system of the high-voltage switch cabinet, for example, fitting and prediction of the data are carried out by establishing a mathematical model, characteristics and rules of the data are researched by a statistical analysis method, and the like, and accurate assessment and early warning of the state of the high-voltage switch cabinet can be obtained through the analysis and processing of the data.
The sensor unit comprises a current sensor, a voltage sensor, a temperature sensor and a humidity sensor which are respectively used for monitoring important parameters such as current, voltage, temperature and humidity of equipment so as to realize omnibearing monitoring of the running state of the high-voltage switch cabinet, the selection of the sensor and the instrument equipment is carried out according to specific monitoring requirements, factors such as the measuring range, the precision and the reliability of the sensor are required to be considered, and the accurate and reliable acquired data of each parameter of the high-voltage switch cabinet can be obtained by reasonably configuring the sensor and the instrument equipment.
The acquisition unit adopts a high-performance analog-to-digital conversion chip, can acquire data at a higher sampling rate, and performs real-time data transmission with the server through a communication interface, in the data acquisition and processing process, an advanced data acquisition device and technology are relied on, a reasonable and effective data processing method is adopted, the accuracy and reliability of the acquired data are ensured, meanwhile, in order to improve the utilization value of the data, the acquired data are properly analyzed and processed, so that the accurate monitoring and management of the high-voltage switch cabinet are realized, the validity and feasibility of the data acquisition and processing method are further verified in the system design and experiment verification stage, and the performance and parameters of the system are evaluated and optimized.
The data processing module comprises a data detection unit, an early warning unit and an analysis and statistics unit; the data detection unit in the data processing module receives the data from the data acquisition module, processes and analyzes the data, monitors and predicts the data in real time through an algorithm and a model to detect abnormal conditions and early warning risks, and can realize early warning through the early warning unit; the data detection unit is mainly used for collecting and analyzing the collected data, sending an alarm through the early warning unit after detecting the abnormal state, judging the reason of the abnormality according to the abnormal data, providing the advice of diagnosis and maintenance through the analysis and statistics unit, rapidly judging the reason of the abnormality, providing the related maintenance advice, and enabling the whole system to be more intelligent.
The decision support module comprises a data analysis unit and a suggestion processing unit; the decision support module is integrated with other systems to realize more intelligent and automatic control and management; the decision support module analyzes the acquired data by using advanced machine learning and data mining algorithms, including abnormality detection and fault diagnosis, realizes accurate judgment and prediction of the working state of the high-voltage switch cabinet by pattern recognition and feature extraction of the data, and timely sends out alarms and suggestions, and the system provides more definite fault diagnosis and maintenance guidance according to the acquired data, thereby improving the maintenance efficiency and reducing the maintenance cost. Firstly, acquiring various operation parameters and state information of a high-voltage switch cabinet through data acquisition and preprocessing, wherein the data comprise monitoring data such as current, voltage, temperature and the like, and state data such as switch state, fault information and the like of the high-voltage switch, then inputting the acquired data into an intelligent analysis algorithm, carrying out data analysis and feature extraction through methods such as data mining, machine learning and the like, establishing a state model and a fault early warning model of the high-voltage switch cabinet through analysis of historical data, providing basis for subsequent decision, and based on the result of data analysis, designing an intelligent decision system which can timely find potential fault risks and abnormal conditions through real-time monitoring and analysis of the state of the high-voltage switch cabinet, and judging and deciding according to an early warning model and a rule base, for example, when the abnormal temperature rise of the high-voltage switch cabinet is found, the system can give an alarm in time and take corresponding measures, such as automatically switching a standby high-voltage switch to ensure the stable operation of a power grid, meanwhile, the system can also provide operation advice and maintenance schemes for the high-voltage switch cabinet according to historical data and experience rules so as to optimize the operation of equipment and prolong the service life of the equipment, in order to realize the functions of intelligent analysis and decision, the invention also develops corresponding software and algorithms, in the aspect of software design, the system adopts modularized design and distributed deployment, realizes the real-time acquisition, transmission, storage and processing of data, simultaneously provides visual and clear monitoring results and reports for users through graphical interfaces, data visualization and other technical means, and adopts various intelligent algorithms and models, such as a neural network, for the decision algorithm of the system, and fuzzy logic and the like, the algorithms can carry out intelligent analysis and decision on the running state of the high-voltage switch cabinet according to different monitoring data and state information, and meanwhile, in order to improve the reliability and stability of the system, the invention also adopts a multiple decision strategy, and the judgment accuracy of the system is improved by integrating a plurality of algorithm results.
The system application module comprises a detection management unit, a system evaluation unit and a system test unit; the system comprises a detection management unit, a system test unit, a system application module, a system evaluation unit and a system control unit, wherein the detection management unit displays monitoring results and reports to a user through a visual interface and a user-friendly operation mode, provides functions of operation and configuration, enables the user to monitor and manage an intelligent online monitoring system through the system application module, and is linked and cooperated with other systems, the system evaluation unit evaluates the performance and reliability of the system through actual application and verification of the system, and the system test unit performs comprehensive test before the system is online so as to ensure stable operation of the system.
The system application module realizes real-time monitoring and control through an interface with the high-voltage switch cabinet to realize intelligent management of the high-voltage switch cabinet, wherein the system evaluation unit evaluates the performance and reliability of the system through actual application and verification of the system, continuously optimizes the design and algorithm of the system, simultaneously, the application of the system provides more reliable and timely support for the operation and maintenance of the high-voltage switch cabinet, improves the operation efficiency and safety, is an important link in the design of the intelligent on-line monitoring system of the high-voltage switch cabinet, can verify the effectiveness and reliability of the designed system in the actual application through reasonable system application and verification process, and can evaluate the performance and advantages and disadvantages of the intelligent on-line monitoring system of the designed high-voltage switch cabinet through analysis and summarization of experimental results, thereby providing basis for further optimization and improvement of the system.
The system test unit in the system application module is required to test the performance of the system before the whole system is used, firstly, a proper test environment is required to be determined, including selecting a high-voltage switch cabinet for test and ensuring the authenticity and stability of the test environment, secondly, reasonable design of test data is required, including data acquisition and processing results of the high-voltage switch cabinet in various working states, finally, detailed test procedures including data acquisition, analysis and evaluation are required to be designed, and in the system test implementation stage, the test is required to be performed according to the design of a test scheme and the predetermined test procedure, specifically, the test implementation of hardware design is included, including the test of hardware equipment such as a sensor, a data acquisition module and a communication module; test implementation of software design, including testing of intelligent analysis algorithms and decision models; the test implementation of the whole system comprises the steps of testing and evaluating the whole operation effect and performance of the system, and in the analysis stage of the system test result, the test data are required to be comprehensively analyzed and processed, firstly, the collected data are analyzed item by item, and the change rule of parameters such as voltage, current, temperature and the like is analyzed; secondly, evaluating the performance of the system, including evaluating indexes such as response time, accuracy and reliability; finally, summarizing the advantages and the disadvantages of the system according to the experimental results, analyzing the feasibility and the applicability of the system in practical application, and comprehensively verifying and evaluating the designed intelligent online monitoring system of the high-voltage switch cabinet through experiments and analysis of system application and verification.
Implementation of the system test unit: firstly, testing and implementing hardware of a system, the hardware of the intelligent online monitoring system of the high-voltage switch cabinet mainly comprises a sensor, a data acquisition module, a communication module and the like, before testing, the normal working state of the hardware and good connection with other parts are required to be ensured, in the testing process, the signal acquisition capacity of the sensor is required to be tested so as to confirm that the sensor can accurately acquire data of each index of the high-voltage switch cabinet, meanwhile, the data acquisition module is required to be tested so as to ensure that the data acquisition module can stably receive and process the data acquired by the sensor and is normally matched with the communication module, and the acquired data can be rapidly and accurately uploaded to a cloud for processing and analysis.
And then, testing and implementing software of the system, wherein the software design of the system comprises the design of a data processing and analyzing algorithm, the design of a user interface, the data transmission with a cloud platform and the like, in the whole test, firstly, the data processing and analyzing algorithm is tested, including the test of data preprocessing, feature extraction, fault diagnosis algorithm and the like, the data processing and analysis can be correctly carried out by the verification algorithm through inputting the actually collected data, and an accurate fault diagnosis result is obtained, secondly, the user interface is tested to ensure that a user can conveniently operate and acquire the data and the result of the system, and finally, the data transmission test with the cloud platform is carried out, and the stability and the transmission speed of the data uploaded by the test system are ensured, so that the data can be timely uploaded to the cloud for storage and analysis.
Finally, the whole system is tested and implemented, in the whole test, the real working environment and the working load are required to be simulated, the system is comprehensively tested, the stability and the reliability of the system under different conditions are ensured by testing the cooperative work of each module of the system, meanwhile, the real-time performance and the accuracy of the system are tested, and the response time, the accuracy of data and the fault detection capability of the system are evaluated and verified.
Through the test implementation, the performance and the function of the system can be comprehensively evaluated, whether the system meets the expected requirement or not can be judged, the system is optimized and improved according to the test result, and the performance and the function of the system are improved, so that the system is more suitable for the actual application environment and can meet the real-time monitoring requirement of the high-voltage switch cabinet.
By analysis of the experimental results, the following conclusions can be drawn:
1. the system can accurately and timely acquire real-time data of the high-voltage switch cabinet and process the data.
2. The system can realize fault detection and prediction of the high-voltage switch cabinet through intelligent analysis and decision.
3. The system has higher accuracy and reliability in the application process, and can meet the real-time monitoring requirement of the high-voltage switch cabinet.
Experimental results show that the intelligent online monitoring system of the high-voltage switch cabinet has high accuracy and reliability in an actual application environment, the system can meet the real-time monitoring requirement of the high-voltage switch cabinet, and the operation management efficiency and safety of the high-voltage switch cabinet are improved.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the present invention.

Claims (8)

1. An intelligent on-line monitoring system of a high-voltage switch cabinet is characterized in that: the system comprises a data acquisition module, a data processing module, a decision support module and a system application module;
the data acquisition module comprises a sensor unit and an acquisition unit;
the sensor unit and the acquisition unit in the data acquisition module are responsible for acquiring various key parameters and signal data from the high-voltage switch cabinet, and the sensor and the data acquisition equipment acquire current, voltage and temperature physical quantities of the switch cabinet and state information of the switch, and the data are transmitted to the data processing module in real time for further analysis and processing;
the data processing module comprises a data detection unit, an early warning unit and an analysis and statistics unit;
the data detection unit in the data processing module receives the data from the data acquisition module, processes and analyzes the data, monitors and predicts the data in real time through an algorithm and a model to detect abnormal conditions and early warning risks, and realizes early warning through the early warning unit;
the decision support module comprises a data analysis unit and a suggestion processing unit;
the decision support module is integrated with other systems to realize more intelligent and automatic control and management;
the system application module comprises a detection management unit, a system evaluation unit and a system test unit;
the system comprises a detection management unit, a system test unit, a system application module, a system evaluation unit and a system control unit, wherein the detection management unit displays monitoring results and reports to a user through a visual interface and a user-friendly operation mode, provides functions of operation and configuration, enables the user to monitor and manage an intelligent online monitoring system through the system application module, and is linked and cooperated with other systems, the system evaluation unit evaluates the performance and reliability of the system through actual application and verification of the system, and the system test unit performs comprehensive test before the system is online so as to ensure stable operation of the system.
2. The intelligent online monitoring system of the high-voltage switch cabinet according to claim 1, wherein the data acquisition module and the data processing module acquire data of the high-voltage switch cabinet through a sensor unit and a sensor and monitoring equipment in the acquisition unit, the real-time monitoring of current, voltage and temperature parameters is included, the acquired data is analyzed and processed, the processes of data filtering, data correction and feature extraction are included, and the original data is converted into a data form which can be used for the next intelligent analysis.
3. The intelligent online monitoring system of the high-voltage switch cabinet according to claim 1, wherein the sensor unit comprises a current sensor, a voltage sensor, a temperature sensor and a humidity sensor, which are respectively used for monitoring important parameters of current, voltage, temperature and humidity of equipment so as to realize omnibearing monitoring of the running state of the high-voltage switch cabinet.
4. The intelligent online monitoring system of the high-voltage switch cabinet according to claim 1, wherein the acquisition unit adopts a high-performance analog-to-digital conversion chip, can acquire data at a higher sampling rate, and can perform real-time data transmission with the server through the communication interface.
5. The intelligent online monitoring system of the high-voltage switch cabinet according to claim 1, wherein the data detection unit mainly collects and analyzes the collected data, an alarm is given through the early warning unit after an abnormal state is detected, the cause of the abnormality is judged according to the abnormal data, and the diagnosis and maintenance advice is provided through the analysis and statistics unit.
6. The intelligent online monitoring system of the high-voltage switch cabinet according to claim 1, wherein the decision support module analyzes the acquired data by using advanced machine learning and data mining algorithms, including abnormality detection and fault diagnosis, and realizes accurate judgment and prediction of the working state of the high-voltage switch cabinet by pattern recognition and feature extraction of the data, and timely sends out alarms and suggestions, and the system provides more definite fault diagnosis and maintenance guidance according to the acquired data, thereby improving maintenance efficiency and reducing maintenance cost.
7. The intelligent online monitoring system of the high-voltage switch cabinet according to claim 1, wherein the system application module realizes real-time monitoring and control through an interface with the high-voltage switch cabinet, and intelligent management of the high-voltage switch cabinet is realized, wherein the system evaluation unit evaluates the performance and reliability of the system through actual application and verification of the system, and continuously optimizes the design and algorithm of the system, and meanwhile, the application of the system provides more reliable and timely support for the operation and maintenance of the high-voltage switch cabinet, and improves the operation efficiency and safety.
8. The intelligent online monitoring system of a high-voltage switch cabinet according to claim 1, wherein a system test unit in a system application module is required to test the performance of the system before the whole system is used, firstly, a proper test environment needs to be determined, including selecting the high-voltage switch cabinet for test and ensuring the authenticity and stability of the test environment, secondly, reasonable design of test data is required, including data acquisition and processing results of the high-voltage switch cabinet under various working states, and finally, detailed test procedures including data acquisition, analysis and evaluation need to be designed.
CN202311615008.4A 2023-11-29 2023-11-29 Intelligent online monitoring system for high-voltage switch cabinet Pending CN117639251A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117833480A (en) * 2024-03-06 2024-04-05 伊诺德电力集团有限公司 Intelligent switch cabinet with online monitoring function
CN117937768A (en) * 2024-03-21 2024-04-26 无锡志恒自动化系统有限公司 Intelligent electrical cabinet remote monitoring system

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117833480A (en) * 2024-03-06 2024-04-05 伊诺德电力集团有限公司 Intelligent switch cabinet with online monitoring function
CN117833480B (en) * 2024-03-06 2024-05-14 伊诺德电力集团有限公司 Intelligent switch cabinet with online monitoring function
CN117937768A (en) * 2024-03-21 2024-04-26 无锡志恒自动化系统有限公司 Intelligent electrical cabinet remote monitoring system
CN117937768B (en) * 2024-03-21 2024-05-28 无锡志恒自动化系统有限公司 Intelligent electrical cabinet remote monitoring system

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