Power grid equipment operation and maintenance method and system based on Internet of Things

Abstract

The invention discloses a power grid equipment operation and maintenance method and system based on the Internet of Things. The method specifically comprises the following steps: S1, data acquisition: acquiring operation data of power grid equipment in real time through an Internet of Things sensor; s2, data transmission: transmitting the acquired operation data to a data processing center through a wireless communication network; the invention relates to the technical field of power grid operation and maintenance. According to the power grid equipment operation and maintenance method and system based on the Internet of Things, the operation data of the power grid equipment are collected in real time through the Internet of Things sensor and transmitted to the data processing center for analysis, the abnormal state and potential faults of the equipment can be found in time, and therefore operation and maintenance decision suggestions are rapidly generated and corresponding operation and maintenance operation is executed. Compared with traditional manual inspection and troubleshooting, the method has the advantages that the operation and maintenance efficiency and quality are greatly improved, and power failure and safety accidents caused by equipment faults are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid operation and maintenance, and in particular to a power grid equipment operation and maintenance method and system based on the Internet of Things. Background Art

[0002] With the development of the power industry, the scale of the power grid continues to expand, and the number of power grid equipment has also increased. The operation and maintenance of power grid equipment is an important part of ensuring the safe and stable operation of the power grid. Traditional manual inspections and manual recording methods can no longer meet the needs of modern power grid operation and maintenance.

[0003] The rapid development of Internet of Things technology has provided a new solution for the operation and maintenance of power grid equipment. Through sensors, wireless communications and other technical means, Internet of Things technology collects the operating status of power grid equipment in real time and transmits it to the background management system, realizing remote monitoring and intelligent management of power grid equipment. However, the existing power grid equipment operation and maintenance methods based on the Internet of Things still have some problems, such as inaccurate data collection, unstable data transmission, and unintelligent data analysis, which leads to low operation and maintenance efficiency and cannot meet the needs of modern power grid operation and maintenance.

[0004] Therefore, there is a need for an IoT-based power grid equipment operation and maintenance method and system that can achieve comprehensive, accurate, and real-time monitoring and management of power grid equipment, improve operation and maintenance efficiency, and ensure the safe and stable operation of the power grid. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a power grid equipment operation and maintenance method and system based on the Internet of Things, which solves the problems raised in the background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a power grid equipment operation and maintenance method based on the Internet of Things, specifically comprising the following steps:

[0007] S1. Data collection: collect the operation data of power grid equipment in real time through IoT sensors;

[0008] S2. Data transmission: The collected operation data is transmitted to the data processing center via the wireless communication network;

[0009] S3, data processing: process and analyze the received operation data, extract the operation status characteristics of the power grid equipment, determine whether there is a fault, and generate fault information;

[0010] S4, Operation and maintenance decision: Generate operation and maintenance decision suggestions based on the operating status and fault information of power grid equipment and combined with preset operation and maintenance knowledge and experience;

[0011] S5, Operation and maintenance execution: Execute corresponding operation and maintenance operations according to the operation and maintenance decision suggestions, and provide feedback on the results of the operation and maintenance task execution;

[0012] S6. Operation and maintenance effect evaluation: Evaluate the results of operation and maintenance execution to obtain the operation and maintenance effect evaluation results;

[0013] S7. Operation and maintenance optimization: Optimize and improve the operation and maintenance methods and systems based on the operation and maintenance effect evaluation results.

[0014] Preferably, in the data acquisition step S1, the IoT sensors include but are not limited to temperature sensors, current sensors, voltage sensors, and vibration sensors, and the data processing step S3 also includes data cleaning, data fusion, and feature extraction sub-steps.

[0015] Preferably, in the operation and maintenance decision step S4, the operation and maintenance decision suggestions include but are not limited to fault handling solutions, equipment maintenance plans, and preventive maintenance measures; in the operation and maintenance execution step S5, the operation and maintenance operations include but are not limited to equipment inspection, troubleshooting, and preventive maintenance.

[0016] The present invention also discloses an Internet of Things-based power grid equipment operation and maintenance system, including a data acquisition module, a data transmission module, a data processing module, an operation and maintenance decision module, and an operation and maintenance execution module. The output end of the data acquisition module is electrically connected to the input end of the data transmission module, the output end of the data transmission module is electrically connected to the input end of the data processing module, the output end of the data processing module is electrically connected to the input end of the operation and maintenance decision module, and the output end of the operation and maintenance decision module is electrically connected to the input end of the operation and maintenance execution module.

[0017] Preferably, the data acquisition module is used to collect the operating data of the power grid equipment in real time through the Internet of Things sensor, the data transmission module is used to transmit the collected operating data to the data processing center through the wireless communication network, and the data processing module is used to process and analyze the received operating data, extract the operating status characteristics of the power grid equipment, and determine whether there is a fault, and generate fault information.

[0018] Preferably, the operation and maintenance decision module is used to generate operation and maintenance decision suggestions based on the operating status and fault information of the power grid equipment, combined with preset operation and maintenance knowledge and experience; the operation and maintenance execution module is used to perform corresponding operation and maintenance operations according to the operation and maintenance decision suggestions, and provide feedback on the results of the operation and maintenance task execution.

[0019] Preferably, the data acquisition module includes a sensor unit and a data preprocessing unit, the sensor unit is used to collect various operating parameters of the power grid equipment in real time, the data preprocessing unit is used to perform preliminary processing on the collected data, the data transmission module includes a communication protocol conversion unit and a data encryption unit, the communication protocol conversion unit is used to convert the collected operating data into a communication protocol suitable for a wireless communication network, and the data encryption unit is used to encrypt the converted operating data to ensure the security of data transmission.

[0020] Preferably, the data processing module includes a data storage unit, a data analysis unit and a fault diagnosis unit, the data storage unit is used to store the received operating data, the data analysis unit is used to process and analyze the stored data to extract the operating status characteristics of the power grid equipment, and the fault diagnosis unit is used to determine whether there is a fault in the power grid equipment based on the operating status characteristics and generate fault information.

[0021] Preferably, the operation and maintenance decision module includes a knowledge base unit and a decision algorithm unit. The knowledge base unit stores the operation and maintenance knowledge and experience of power grid equipment. The decision algorithm unit is used to generate operation and maintenance decision suggestions based on the operating status and fault information of the power grid equipment and the operation and maintenance knowledge and experience in the knowledge base.

[0022] Preferably, the operation and maintenance execution module includes a task allocation unit and an execution feedback unit. The task allocation unit is used to decompose the operation and maintenance decision suggestions into specific operation and maintenance tasks and assign them to corresponding operation and maintenance personnel or equipment for execution. The execution feedback unit is used to receive the results of the operation and maintenance task execution and feed them back to the data processing module for further analysis and optimization.

[0023] Beneficial Effects

[0024] The present invention provides a power grid equipment operation and maintenance method and system based on the Internet of Things. Compared with the prior art, it has the following beneficial effects:

[0025] (1) IoT sensors collect the operating data of power grid equipment in real time and transmit it to the data processing center for analysis, which can promptly detect abnormal status and potential failures of equipment, thereby quickly generating operation and maintenance decision suggestions and executing corresponding operation and maintenance operations. Compared with traditional manual inspections and troubleshooting, this method greatly improves the efficiency and quality of operation and maintenance, and reduces power outages and safety accidents caused by equipment failures.

[0026] (2) Through intelligent operation and maintenance decision-making and execution, unnecessary equipment maintenance and replacement are avoided, reducing operation and maintenance costs. At the same time, through operation and maintenance effect evaluation and operation and maintenance optimization modules, operation and maintenance methods and systems can be continuously optimized to further improve operation and maintenance efficiency and reduce costs.

[0027] (3) By real-time monitoring and analysis of the operating status of power grid equipment, the patent can promptly detect and handle equipment failures and anomalies, thereby enhancing the reliability and stability of power grid equipment. This helps to ensure the safe and stable operation of the power grid, improve the quality and reliability of power supply, and meet society's demand for electricity. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 is a flow chart of the method of the present invention;

[0029] Figure 2 is a system block diagram of the present invention;

[0030] Figure 3 It is a schematic diagram of a data acquisition module of the present invention;

[0031] Figure 4 It is a schematic diagram of a data transmission module of the present invention;

[0032] Figure 5 It is a schematic diagram of a data processing module of the present invention;

[0033] Figure 6 This is a schematic diagram of the operation and maintenance decision module of the present invention;

[0034] Figure 7 It is a schematic diagram of the operation and maintenance execution module of the present invention.

[0035] In the figure: 01, data acquisition module; 02, data transmission module; 03, data processing module; 04, operation and maintenance decision module; 05, operation and maintenance execution module; 011, sensor unit; 012, data preprocessing unit; 021, communication protocol conversion unit; 022, data encryption unit; 031, data storage unit; 032, data analysis unit; 033, fault diagnosis unit; 041, knowledge base unit; 042, decision algorithm unit; 051, task allocation unit; 052, execution feedback unit. DETAILED DESCRIPTION

[0036] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] The present invention provides three technical solutions, including the following embodiments:

[0038] Example 1

[0039] See also Figure 1, the power grid equipment operation and maintenance method based on the Internet of Things specifically includes the following steps:

[0040] S1. Data collection: The operation data of power grid equipment is collected in real time through IoT sensors. The IoT sensor network is deployed, including but not limited to temperature sensors, current sensors, voltage sensors, vibration sensors, etc., to ensure that the key monitoring points of power grid equipment are covered. The sensors collect the operation data of power grid equipment in real time according to the preset sampling frequency, including but not limited to parameters such as temperature, current, voltage, vibration frequency, etc. The collected raw data is pre-processed, including denoising, filtering, outlier detection, etc., to improve the accuracy and reliability of the data;

[0041] S2. Data transmission: The collected operation data is transmitted to the data processing center through the wireless communication network. The pre-processed operation data is transmitted to the central data processing center using wireless communication technology (such as LoRa, NB-IoT, 4G / 5G, etc.). Data encryption and integrity verification are implemented during the data transmission process to ensure the security and integrity of the data. A redundant mechanism for data transmission is established to prevent loss or delay during the data transmission process.

[0042] S3, data processing: process and analyze the received operation data, extract the operation status characteristics of the power grid equipment, determine whether there is a fault, generate fault information, receive and store the transmitted operation data in the data processing center, perform data cleaning, remove duplicate, invalid or abnormal data records, use data analysis algorithms (such as machine learning, deep learning, etc.) to deeply mine the cleaned data, extract the operation status characteristics of the power grid equipment, and based on the extracted characteristics, apply the fault diagnosis model to determine whether the equipment has a fault, and generate detailed fault information, including fault type, location, severity, etc.;

[0043] S4, Operation and maintenance decision: Generate operation and maintenance decision suggestions based on the operation status and fault information of power grid equipment, combined with preset operation and maintenance knowledge and experience, establish an operation and maintenance knowledge base, store the operation and maintenance rules, historical fault cases, maintenance experience, etc. of power grid equipment, and generate operation and maintenance decision suggestions based on the operation status and fault information of power grid equipment, combined with the operation and maintenance knowledge base, using decision algorithms (such as rule reasoning, case matching, etc.), and prioritize the generated operation and maintenance decision suggestions to ensure that urgent and important operation and maintenance tasks are given priority;

[0044] S5. Operation and maintenance execution: According to the operation and maintenance decision suggestions, corresponding operation and maintenance operations are performed, and feedback is provided on the results of the operation and maintenance task execution. The operation and maintenance decision suggestions are converted into specific operation and maintenance tasks, and assigned to the corresponding operation and maintenance teams or personnel. The operation and maintenance teams or personnel perform corresponding operation and maintenance operations according to the task requirements, such as equipment maintenance, troubleshooting, preventive maintenance, etc., collect feedback on the results of the operation and maintenance operations, including maintenance records, replacement parts information, operation time, etc., and upload them to the data processing center for subsequent analysis;

[0045] S6. Operation and maintenance effect evaluation: Evaluate the results of operation and maintenance execution to obtain the operation and maintenance effect evaluation results;

[0046] S7. Operation and maintenance optimization: Optimize and improve the operation and maintenance methods and systems based on the operation and maintenance effect evaluation results.

[0047] In the data collection step S1, the IoT sensors include but are not limited to temperature sensors, current sensors, voltage sensors, and vibration sensors. The data processing step S3 also includes data cleaning, data fusion, and feature extraction sub-steps.

[0048] In the operation and maintenance decision step S4, the operation and maintenance decision suggestions include but are not limited to fault handling solutions, equipment maintenance plans, and preventive maintenance measures. In the operation and maintenance execution step S5, the operation and maintenance operations include but are not limited to equipment maintenance, troubleshooting, and preventive maintenance.

[0049] Example 2

[0050] Based on Example 1, see Figure 2 As shown, the present invention also discloses a power grid equipment operation and maintenance system based on the Internet of Things, including a data acquisition module 01, a data transmission module 02, a data processing module 03, an operation and maintenance decision module 04, and an operation and maintenance execution module 05. The output end of the data acquisition module 01 is electrically connected to the input end of the data transmission module 02, the output end of the data transmission module 02 is electrically connected to the input end of the data processing module 03, the output end of the data processing module 03 is electrically connected to the input end of the operation and maintenance decision module 04, and the output end of the operation and maintenance decision module 04 is electrically connected to the input end of the operation and maintenance execution module 05.

[0051] The data acquisition module 01 is used to collect the operating data of the power grid equipment in real time through the Internet of Things sensors. The data transmission module 02 is used to transmit the collected operating data to the data processing center through the wireless communication network. The data processing module 03 is used to process and analyze the received operating data, extract the operating status characteristics of the power grid equipment, and determine whether there is a fault, and generate fault information.

[0052] The operation and maintenance decision module 04 is used to generate operation and maintenance decision suggestions based on the operating status and fault information of the power grid equipment, combined with preset operation and maintenance knowledge and experience. The operation and maintenance execution module 05 is used to perform corresponding operation and maintenance operations according to the operation and maintenance decision suggestions, and provide feedback on the results of the operation and maintenance task execution.

[0053] Example 3

[0054] Based on Example 2, see Figure 3-Figure 7 As shown, the data acquisition module 01 includes a sensor unit 011 and a data preprocessing unit 012. The sensor unit 011 is used to collect various operating parameters of the power grid equipment in real time. The data preprocessing unit 012 is used to perform preliminary processing on the collected data. The sensor unit 011 may include various sensors for collecting power grid equipment operating data, such as temperature sensors, humidity sensors, current sensors, voltage sensors, etc. These sensors can collect various operating parameters of the power grid equipment in real time, such as temperature, humidity, current, voltage, etc. The data preprocessing unit 012 is used to perform preliminary processing on the collected operating data, including data cleaning, data deduplication and data formatting. Data cleaning can remove noise and outliers in the data and improve the accuracy of the data; data deduplication can avoid the storage and processing of duplicate data and improve the data processing efficiency; data formatting can convert the data into a unified format to facilitate subsequent processing and analysis. The data transmission module 02 includes a communication protocol conversion unit 021 and a data encryption unit 022. The communication protocol conversion unit 021 is used to convert the collected operating data into a communication protocol suitable for the wireless communication network. The data encryption unit 022 is used to encrypt the converted operating data to ensure the security of data transmission. The communication protocol conversion unit 021 is used to convert the collected operating data into a communication protocol suitable for the wireless communication network, such as MQTT, CoAP, etc. These communication protocols have the characteristics of low power consumption, high efficiency, and easy expansion, and are suitable for communication of Internet of Things devices. The data encryption unit 022 is used to encrypt the converted operating data to ensure the security of data transmission. The encryption process can prevent the data from being stolen or tampered with during the transmission process, and ensure the integrity and authenticity of the data.

[0055] The data processing module 03 includes a data storage unit 031, a data analysis unit 032 and a fault diagnosis unit 033. The data storage unit 031 is used to store the received operation data. The data analysis unit 032 is used to process and analyze the stored data to extract the operation status characteristics of the power grid equipment. The data analysis unit 032 can process and analyze the stored operation data, and extract the operation status characteristics of the power grid equipment, such as the operating temperature of the equipment, current and voltage fluctuations, etc., through technical means such as data mining and machine learning. These characteristics can reflect whether the operation status of the power grid equipment is normal and whether there is a potential fault. The fault diagnosis unit determines whether the power grid equipment has a fault according to the operation status characteristics, combined with the preset fault diagnosis model and algorithm, and generates fault information. The fault information may include the fault type, fault location, fault degree, etc., to provide a basis for subsequent operation and maintenance decisions. The fault diagnosis unit 033 is used to determine whether the power grid equipment has a fault according to the operation status characteristics, and generate fault information.

[0056] The operation and maintenance decision module 04 includes a knowledge base unit 041 and a decision algorithm unit 042. The knowledge base unit 041 stores the operation and maintenance knowledge and experience of power grid equipment. The decision algorithm unit 042 is used to generate operation and maintenance decision suggestions based on the operation status and fault information of the power grid equipment and the operation and maintenance knowledge and experience in the knowledge base. The knowledge base unit 041 stores a large amount of power grid equipment operation and maintenance knowledge and experience, including the operation rules of the equipment, common faults and their processing methods, etc. The decision algorithm unit 042 generates operation and maintenance decision suggestions based on the operation status and fault information of the power grid equipment and the operation and maintenance knowledge and experience in the knowledge base through logical reasoning, fuzzy matching and other technical means. The operation and maintenance decision suggestions can include fault handling solutions, equipment maintenance plans, preventive maintenance measures, etc., to provide scientific decision-making basis for operation and maintenance personnel.

[0057] The operation and maintenance execution module 05 includes a task allocation unit 051 and an execution feedback unit 052. The task allocation unit 051 is used to decompose the operation and maintenance decision suggestions into specific operation and maintenance tasks and assign them to the corresponding operation and maintenance personnel or equipment for execution. The execution feedback unit is used to receive the results of the operation and maintenance task execution and feedback to the data processing module for further analysis and optimization. The task allocation unit 051 decomposes the operation and maintenance decision suggestions into specific operation and maintenance tasks and assigns them to the corresponding operation and maintenance personnel or equipment for execution. These operation and maintenance tasks may include equipment maintenance, troubleshooting, preventive maintenance, etc. The execution feedback unit 052 is used to receive the results of the operation and maintenance tasks executed by the operation and maintenance personnel or equipment, and feedback to the data processing module for further analysis and optimization. Through execution feedback, the execution status of the operation and maintenance tasks can be timely understood, the operation and maintenance effects can be evaluated, and a basis can be provided for subsequent optimization and improvement.

[0058] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0059] The above embodiments of the invention are described in detail, but the contents are only preferred embodiments of the invention and cannot be considered to limit the scope of the invention. All equivalent changes and improvements made within the scope of the invention should still fall within the scope of the invention.

Claims

1. A power grid equipment operation and maintenance method based on the Internet of Things, characterized in that: The specific steps include: S1. Data collection: collect the operation data of power grid equipment in real time through IoT sensors; S2, data transmission: the collected operation data is transmitted to the data processing center via the wireless communication network; S3, data processing: process and analyze the received operation data, extract the operation status characteristics of the power grid equipment, determine whether there is a fault, and generate fault information; S4, Operation and maintenance decision: Generate operation and maintenance decision suggestions based on the operating status and fault information of power grid equipment and combined with preset operation and maintenance knowledge and experience; S5, Operation and maintenance execution: Execute corresponding operation and maintenance operations according to the operation and maintenance decision suggestions, and provide feedback on the results of the operation and maintenance task execution; S6. Operation and maintenance effect evaluation: Evaluate the results of operation and maintenance execution to obtain the operation and maintenance effect evaluation results; S7. Operation and maintenance optimization: Optimize and improve the operation and maintenance methods and systems based on the operation and maintenance effect evaluation results.

2. The method for operating and maintaining power grid equipment based on the Internet of Things according to claim 1, characterized in that: In the data collection step S1, the IoT sensors include but are not limited to temperature sensors, current sensors, voltage sensors, and vibration sensors. The data processing step S3 also includes data cleaning, data fusion, and feature extraction sub-steps.

3. The power grid equipment operation and maintenance method based on the Internet of Things according to claim 1 is characterized in that: In the operation and maintenance decision step S4, the operation and maintenance decision suggestions include but are not limited to fault handling solutions, equipment maintenance plans, and preventive maintenance measures. In the operation and maintenance execution step S5, the operation and maintenance operations include but are not limited to equipment maintenance, troubleshooting, and preventive maintenance.

4. The power grid equipment operation and maintenance system based on the Internet of Things is characterized by: The system comprises a data acquisition module (01), a data transmission module (02), a data processing module (03), an operation and maintenance decision module (04), and an operation and maintenance execution module (05), wherein the output end of the data acquisition module (01) is electrically connected to the input end of the data transmission module (02), the output end of the data transmission module (02) is electrically connected to the input end of the data processing module (03), the output end of the data processing module (03) is electrically connected to the input end of the operation and maintenance decision module (04), and the output end of the operation and maintenance decision module (04) is electrically connected to the input end of the operation and maintenance execution module (05).

5. The power grid equipment operation and maintenance system based on the Internet of Things according to claim 4 is characterized in that: The data acquisition module (01) is used to collect the operation data of the power grid equipment in real time through the Internet of Things sensor, the data transmission module (02) is used to transmit the collected operation data to the data processing center through the wireless communication network, and the data processing module (03) is used to process and analyze the received operation data, extract the operation status characteristics of the power grid equipment, and determine whether there is a fault, and generate fault information.

6. The power grid equipment operation and maintenance system based on the Internet of Things according to claim 4 is characterized in that: The operation and maintenance decision module (04) is used to generate an operation and maintenance decision suggestion based on the operation status and fault information of the power grid equipment in combination with preset operation and maintenance knowledge and experience. The operation and maintenance execution module (05) is used to execute corresponding operation and maintenance operations according to the operation and maintenance decision suggestion, and to provide feedback on the results of the operation and maintenance task execution.

7. The power grid equipment operation and maintenance system based on the Internet of Things according to claim 4 is characterized in that: The data acquisition module (01) comprises a sensor unit (011) and a data preprocessing unit (012); the sensor unit (011) is used to acquire various operating parameters of power grid equipment in real time; the data preprocessing unit (012) is used to perform preliminary processing on the acquired data; the data transmission module (02) comprises a communication protocol conversion unit (021) and a data encryption unit (022); the communication protocol conversion unit (021) is used to convert the acquired operating data into a communication protocol suitable for a wireless communication network; the data encryption unit (022) is used to encrypt the converted operating data to ensure the security of data transmission.

8. The power grid equipment operation and maintenance system based on the Internet of Things according to claim 4 is characterized in that: The data processing module (03) comprises a data storage unit (031), a data analysis unit (032) and a fault diagnosis unit (033); the data storage unit (031) is used to store received operation data; the data analysis unit (032) is used to process and analyze the stored data to extract operation status characteristics of the power grid equipment; the fault diagnosis unit (033) is used to determine whether the power grid equipment has a fault based on the operation status characteristics and generate fault information.

9. The power grid equipment operation and maintenance system based on the Internet of Things according to claim 4, characterized in that: The operation and maintenance decision module (04) comprises a knowledge base unit (041) and a decision algorithm unit (042), wherein the knowledge base unit (041) stores the operation and maintenance knowledge and experience of power grid equipment, and the decision algorithm unit (042) is used to generate an operation and maintenance decision suggestion based on the operating status and fault information of the power grid equipment and the operation and maintenance knowledge and experience in the knowledge base.

10. The power grid equipment operation and maintenance system based on the Internet of Things according to claim 4, characterized in that: The operation and maintenance execution module (05) includes a task allocation unit (051) and an execution feedback unit (052). The task allocation unit (051) is used to decompose the operation and maintenance decision suggestions into specific operation and maintenance tasks and allocate them to corresponding operation and maintenance personnel or equipment for execution. The execution feedback unit is used to receive the results of the operation and maintenance task execution and feed them back to the data processing module for further analysis and optimization.

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