Intelligent monitoring system for operation and maintenance state of power equipment

Abstract

The invention provides a power equipment operation and maintenance state intelligent monitoring system, and relates to the technical field of power equipment operation and maintenance. According to the system, fault prediction and remote control are realized by monitoring the operation state of the power equipment in real time. The system comprises a data acquisition module, a data processing module, a fault prediction module and a remote control module. The data acquisition module is responsible for acquiring operation data of equipment, and the data processing module processes and analyzes the acquired data and extracts characteristic parameters related to the state of the equipment. And the fault prediction module performs fault prediction by using a machine learning algorithm based on the characteristic parameters, and provides early warning information for operation and maintenance personnel. And the remote control module allows operation and maintenance personnel to remotely monitor and control the equipment through a network, so that quick response and processing are realized. According to the system, through the functions of real-time monitoring, intelligent operation and maintenance, personalized configuration and the like, the operation and maintenance efficiency is effectively improved, the equipment failure rate is reduced, and remarkable improvement and promotion are brought to operation and maintenance management of power equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of power equipment operation and maintenance, and in particular to an intelligent monitoring system for the operation and maintenance status of power equipment. Background Art

[0002] With the rapid development of the power industry, the operation and maintenance of power equipment has become increasingly important. The traditional operation and maintenance of power equipment mainly relies on manual inspections and regular maintenance, which is not only inefficient but also difficult to detect and handle equipment failures in real time. Therefore, the development of an intelligent monitoring system that can monitor, predict and remotely control the operation and maintenance status of power equipment in real time has important practical significance and application value. Summary of the invention

[0003] The purpose of the present invention is to provide an intelligent monitoring system for the operation and maintenance status of power equipment, which can monitor the operating status of power equipment in real time, predict equipment failures, and perform remote control and management.

[0004] The embodiment of the present invention is achieved as follows: In a first aspect, the present invention provides an intelligent monitoring system for the operation and maintenance status of electric power equipment, the intelligent monitoring system for the operation and maintenance status of electric power equipment comprising a data acquisition module, a data processing module, a fault prediction module and a remote control module, capable of real-time monitoring of the operation status of electric power equipment, predicting equipment faults, and performing remote control and management; The data acquisition module includes a plurality of sensor interfaces, each of which is adapted to different types of sensors and can collect a variety of operating parameters of the power equipment, including voltage, current, temperature, humidity, vibration and insulation resistance; the data acquisition module also has a data preprocessing function, which is used to filter, denoise and normalize the collected raw data to improve the quality and reliability of the data; The data processing module is used to process and analyze data, including data cleaning, data mining, and feature extraction; the data processing module is used to receive the pre-processed data sent by the data acquisition module, perform in-depth analysis and processing through a preset algorithm, and extract characteristic parameters and indicators closely related to the operating status of the equipment; The fault prediction module uses machine learning or deep learning algorithms, combined with characteristic parameters and historical operation data extracted by the data processing module, to build a fault prediction model; the fault prediction model is used to predict the probability of equipment failure and possible fault types in real time, and provide timely fault warning and fault location information for operation and maintenance personnel; The remote control module realizes two-way communication and control with the power equipment through a network connection; the remote control module automatically or manually sends control instructions according to the prediction results of the fault prediction module to remotely start, stop, and adjust parameters of the power equipment; the remote control module also supports remote monitoring of the real-time operating status of the equipment to ensure the safe and stable operation of the equipment.

[0005] In an optional implementation, the data acquisition module further includes a data cache unit for temporarily storing the collected data during data transmission to ensure the integrity and reliability of the data.

[0006] In an optional embodiment, the data processing module further includes a data classification unit for classifying and identifying the collected data according to the type and source of the data to facilitate subsequent data analysis and processing.

[0007] In an optional implementation, the fault prediction module further includes a model updating unit for regularly updating and optimizing the existing fault prediction model according to newly collected data to improve the prediction accuracy and adaptability of the model.

[0008] In an optional embodiment, the remote control module supports multiple remote control protocols, including Modbus and OPC UA, to meet the control requirements of different power equipment.

[0009] In an optional implementation, the power equipment operation and maintenance status intelligent monitoring system further includes a user management module for managing user rights and access control to ensure system security and data confidentiality.

[0010] In an optional embodiment, the intelligent monitoring system for the operation and maintenance status of power equipment is scalable and can adapt to the operation and maintenance needs of power equipment of different sizes and types by adding or replacing modules.

[0011] In an optional implementation, the intelligent monitoring system for the operation and maintenance status of power equipment supports a multi-language interface and customized configuration to meet the personalized needs of different regions and users.

[0012] In an optional embodiment, the intelligent monitoring system for the operation and maintenance status of power equipment includes a multilingual management unit, a parameter setting unit, an interface editing unit and a module management unit. The multilingual management unit is used to store and manage interface texts and prompt information in different languages, and supports users to select or switch languages ​​when logging into the system; the parameter setting unit, the interface editing unit and the module management unit are used in combination to allow users to adjust system parameters, interface layout and functional modules according to actual needs to meet the personalized needs of different application scenarios.

[0013] In an optional implementation, the intelligent monitoring system for the operation and maintenance status of power equipment also has data backup and recovery functions to prevent data loss and system failures and ensure the stability and reliability of the system.

[0014] The beneficial effects of the embodiments of the present invention are: The intelligent monitoring system for the operation and maintenance status of power equipment has achieved multiple beneficial effects such as improving operation and maintenance efficiency, optimizing resource allocation, enhancing equipment safety, improving user experience, and promoting the development of informatization and intelligence through functions such as real-time monitoring, intelligent operation and maintenance, multi-language support, and customized configuration. It has brought significant improvements and enhancements to the operation and maintenance management of power equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0016] Figure 1 The present invention is a flowchart of the design of an intelligent monitoring system for the operation and maintenance status of power equipment according to an embodiment of the present invention.

[0017] icon: 100-data acquisition module; 200-data processing module; 300-fault prediction module; 400-remote control module. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0019] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. 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.

[0020] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0021] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inside", "outside", etc. indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, or the positions or positional relationships in which the product of the invention is usually placed when in use. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific position, be constructed and operated in a specific position, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", "third", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

[0022] In addition, the terms "horizontal", "vertical" and the like do not mean that the components are required to be absolutely horizontal or suspended, but can be slightly tilted. For example, "horizontal" only means that its direction is more horizontal than "vertical", and does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0023] In the description of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", and "connect" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0024] Please combine Figure 1 This embodiment provides an intelligent monitoring system for the operation and maintenance status of electric power equipment. The intelligent monitoring system for the operation and maintenance status of electric power equipment includes a data acquisition module 100, a data processing module 200, a fault prediction module 300 and a remote control module 400, which can monitor the operation status of electric power equipment in real time, predict equipment faults, and perform remote control and management; The data acquisition module 100 includes a plurality of sensor interfaces, each of which is adapted to different types of sensors and can collect various operating parameters of the power equipment, including voltage, current, temperature, humidity, vibration and insulation resistance; the data acquisition module 100 also has a data preprocessing function, which is used to filter, denoise and normalize the collected raw data to improve the quality and reliability of the data; The data processing module 200 is used to process and analyze data, including data cleaning, data mining, and feature extraction; the data processing module 200 is used to receive the pre-processed data sent by the data acquisition module 100, perform in-depth analysis and processing through a preset algorithm, and extract characteristic parameters and indicators closely related to the operating status of the equipment; The fault prediction module 300 uses machine learning or deep learning algorithms, combined with the characteristic parameters and historical operation data extracted by the data processing module 200, to build a fault prediction model; the fault prediction model is used to predict the probability of equipment failure and the possible types of failures in real time, and provide timely fault warning and fault location information for operation and maintenance personnel; The remote control module 400 realizes two-way communication and control with the power equipment through a network connection; the remote control module 400 automatically or manually sends control instructions according to the prediction results of the fault prediction module 300 to remotely start, stop, and adjust parameters of the power equipment; the remote control module 400 also supports remote monitoring of the real-time operating status of the equipment to ensure the safe and stable operation of the equipment.

[0025] In this embodiment, optionally, the data acquisition module 100 further includes a data cache unit for temporarily storing the collected data during the data transmission process to ensure the integrity and reliability of the data.

[0026] It should be understood that by introducing a data cache unit, the collected data can be temporarily stored during the data transmission process to ensure the integrity and reliability of the data. In particular, when the network is unstable or the data transmission volume is large, the cache unit can effectively avoid data loss or transmission errors and improve the stability of the system and data quality.

[0027] In this embodiment, optionally, the data processing module 200 further includes a data classification unit for classifying and identifying the collected data according to the type and source of the data to facilitate subsequent data analysis and processing.

[0028] With this design, the data classification unit can classify and identify the collected data according to the type and source of the data, making the data more orderly and easier to manage. This helps with subsequent data analysis and processing, improves data processing efficiency and accuracy, and also makes it easier for users to filter and query data.

[0029] In this embodiment, optionally, the fault prediction module 300 further includes a model updating unit, which is used to regularly update and optimize the existing fault prediction model according to the newly collected data to improve the prediction accuracy and adaptability of the model.

[0030] It should be noted that the model update unit can regularly update and optimize the existing fault prediction model based on the newly collected data to ensure that the model is always consistent with the actual operating conditions of the equipment. This can improve the prediction accuracy and adaptability of the model, enable it to better respond to equipment failures and abnormal conditions, and provide more accurate and timely fault warnings for operation and maintenance personnel.

[0031] In this embodiment, the remote control module 400 optionally supports multiple remote control protocols, including Modbus and OPC UA, to meet the control requirements of different power equipment. Supporting multiple remote control protocols can enable the system to adapt to the control requirements of different power equipment and increase the flexibility and versatility of the system. Regardless of which control protocol the device uses, the system can perform remote control and communication, making it convenient for operation and maintenance personnel to uniformly manage and operate different devices.

[0032] In this embodiment, the power equipment operation and maintenance status intelligent monitoring system optionally further includes a user management module for managing user rights and access control to ensure the security of the system and the confidentiality of data. The user management module can manage user rights and access control to ensure the security of the system and the confidentiality of data. Through permission setting and identity authentication, unauthorized users can be prevented from accessing the system or sensitive data, thereby protecting the stable operation of the system and data security.

[0033] In this embodiment, the power equipment operation and maintenance status intelligent monitoring system is optionally scalable and can adapt to the operation and maintenance needs of power equipment of different sizes and types by adding or replacing modules. The scalability of the system enables it to add or replace modules according to actual needs to adapt to the operation and maintenance needs of power equipment of different sizes and types. This design makes the system more flexible and customizable, can meet the specific needs of different users, and improve the applicability and value of the system.

[0034] In this embodiment, the intelligent monitoring system for the operation and maintenance status of power equipment optionally supports a multi-language interface and customized configuration to meet the personalized needs of different regions and users. The multi-language interface and customized configuration can meet the personalized needs of different regions and users, and improve the availability and user satisfaction of the system. The multi-language interface enables the system to adapt to users in different language environments, and the customized configuration allows users to adjust system parameters and functions according to actual needs to achieve personalized operation and maintenance management. This design makes the system closer to user needs and improves user experience and operation and maintenance efficiency.

[0035] In this embodiment, optionally, the intelligent monitoring system for the operation and maintenance status of power equipment includes a multi-language management unit, a parameter setting unit, an interface editing unit and a module management unit. The multi-language management unit is used to store and manage interface texts and prompt information in different languages, and supports users to select or switch languages ​​when logging into the system; the parameter setting unit, the interface editing unit and the module management unit are used in combination to allow users to adjust system parameters, interface layout and functional modules according to actual needs to meet the personalized needs of different application scenarios.

[0036] With this design, by supporting multi-language interfaces, the system can adapt to the language habits of different regions and users, eliminate language barriers, and enable users to understand and use the system more conveniently. This greatly improves the user experience, enhances user satisfaction with the system, and can enhance the user experience. The customized configuration function allows users to flexibly adjust system parameters, interface layout, and functional modules according to their actual needs. This meets the personalized needs in different application scenarios, allowing the system to better adapt to various complex operation and maintenance environments. The combination of multi-language interfaces and customized configurations gives the system higher flexibility. Whether facing users in different language environments or facing scenarios with different operation and maintenance requirements, the system can adapt through simple configuration adjustments, greatly reducing the difficulty of system deployment and maintenance. Multi-language support enables the system to enter the international market more easily and expands the application scope of the system. At the same time, customized configuration also improves the market competitiveness of the system, allowing the system to stand out among many similar products. By providing multi-language interfaces and customized configurations, the system not only meets the basic needs of users, but also provides additional value. This design makes the system more in line with user expectations and enhances the overall value of the system.

[0037] In this embodiment, optionally, the intelligent monitoring system for the operation and maintenance status of power equipment also has data backup and recovery functions to prevent data loss and system failures and ensure the stability and reliability of the system.

[0038] The design of the intelligent monitoring system for the operation and maintenance status of power equipment provided in this embodiment has at least the following advantages, for example: 1. Real-time monitoring and early warning capability: The system can collect the operating data of power equipment in real time and issue fault early warnings through the fault prediction module 300. This real-time monitoring and early warning mechanism enables operation and maintenance personnel to promptly learn about the operating status of the equipment, prevent the occurrence of potential faults, and improve the timeliness and effectiveness of operation and maintenance.

[0039] 2. Intelligence and automation: Through the intelligent algorithm of the data processing and fault prediction module 300, the system can automatically analyze data and predict faults, greatly reducing the workload of manual analysis. At the same time, the remote control module 400 realizes the automated management of equipment and improves the operation and maintenance efficiency.

[0040] 3. Scalability and flexibility: The system supports modular design and can add or replace modules according to actual needs, thus adapting to the operation and maintenance needs of power equipment of different scales and types. In addition, the customized configuration function allows users to adjust system parameters and functional modules according to personalized needs, enhancing the flexibility and applicability of the system.

[0041] 4. Multi-language support: The system supports multi-language interface, allowing users in different regions to choose the language they are familiar with for operation, improving the user experience and the internationalization level of the system.

[0042] 5. Data security and reliability: The system ensures data security and confidentiality through the user management module to prevent unauthorized access and tampering. At the same time, the data backup and recovery function ensures data reliability and prevents data loss due to system failure or unexpected circumstances.

[0043] 6. Easy integration and collaborative work: The system can be integrated with other information systems to achieve data sharing and collaborative work, improving the overall efficiency and level of operation and maintenance management. This integration enables the system to be better integrated into the enterprise's information system and promote the modernization and intelligence of operation and maintenance management.

[0044] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent monitoring system for the operation and maintenance status of power equipment, characterized in that: The power equipment operation and maintenance status intelligent monitoring system comprises a data acquisition module (100), a data processing module (200), a fault prediction module (300) and a remote control module (400), and is capable of monitoring the operation status of the power equipment in real time, predicting equipment faults, and performing remote control and management; The data acquisition module (100) comprises a plurality of sensor interfaces, each of which is adapted to be compatible with different types of sensors and is capable of acquiring a variety of operating parameters of the power equipment, including voltage, current, temperature, humidity, vibration and insulation resistance; the data acquisition module (100) also has a data preprocessing function, and is used to perform filtering, denoising and normalization processing on the acquired raw data, so as to improve the quality and reliability of the data; The data processing module (200) is used to process and analyze data, including data cleaning, data mining, and feature extraction; the data processing module (200) is used to receive the pre-processed data sent by the data acquisition module (100), perform in-depth analysis and processing through a preset algorithm, and extract characteristic parameters and indicators closely related to the operating status of the equipment; The fault prediction module (300) uses a machine learning or deep learning algorithm, combined with the characteristic parameters extracted by the data processing module (200) and the historical operation data, to construct a fault prediction model; the fault prediction model is used to predict the probability of equipment failure and the type of possible failure in real time, and provide timely fault warning and fault location information for operation and maintenance personnel; The remote control module (400) is connected to a network to achieve two-way communication and control with the power equipment; the remote control module (400) automatically or manually sends control instructions based on the prediction results of the fault prediction module (300) to remotely start, stop, and adjust parameters of the power equipment; the remote control module (400) also supports remote monitoring of the real-time operating status of the equipment to ensure safe and stable operation of the equipment.

2. The intelligent monitoring system for operation and maintenance status of power equipment according to claim 1 is characterized in that: The data acquisition module (100) also includes a data cache unit, which is used to temporarily store the collected data during the data transmission process to ensure the integrity and reliability of the data.

3. The intelligent monitoring system for operation and maintenance status of power equipment according to claim 1 is characterized in that: The data processing module (200) comprises a data classification unit, which is used to classify and identify the collected data according to the type and source of the data, so as to facilitate subsequent data analysis and processing.

4. The intelligent monitoring system for operation and maintenance status of power equipment according to claim 1 is characterized in that: The fault prediction module (300) also includes a model updating unit, which is used to regularly update and optimize the existing fault prediction model according to newly collected data, so as to improve the prediction accuracy and adaptability of the model.

5. The intelligent monitoring system for operation and maintenance status of power equipment according to claim 1 is characterized in that: The remote control module (400) supports multiple remote control protocols, including Modbus and OPC UA, to meet the control requirements of different power equipment.

6. The intelligent monitoring system for operation and maintenance status of power equipment according to claim 1 is characterized in that: The intelligent monitoring system for the operation and maintenance status of power equipment also includes a user management module for managing user rights and access control to ensure the security of the system and the confidentiality of data.

7. The intelligent monitoring system for operation and maintenance status of power equipment according to claim 1 is characterized in that: The intelligent monitoring system for the operation and maintenance status of electric power equipment is scalable and can adapt to the operation and maintenance needs of electric power equipment of different sizes and types by adding or replacing modules.

8. The intelligent monitoring system for operation and maintenance status of power equipment according to claim 1 is characterized in that: The intelligent monitoring system for the operation and maintenance status of power equipment supports multi-language interface and customized configuration to meet the personalized needs of different regions and users.

9. The intelligent monitoring system for operation and maintenance status of power equipment according to claim 8 is characterized in that: The intelligent monitoring system for the operation and maintenance status of power equipment includes a multilingual management unit, a parameter setting unit, an interface editing unit and a module management unit. The multilingual management unit is used to store and manage interface texts and prompt information in different languages, and supports users to select or switch languages ​​when logging into the system; the parameter setting unit, the interface editing unit and the module management unit are used in combination to allow users to adjust system parameters, interface layout and functional modules according to actual needs to meet the personalized needs of different application scenarios.

10. The intelligent monitoring system for operation and maintenance status of electric power equipment according to claim 1, characterized in that: The intelligent monitoring system for the operation and maintenance status of power equipment also has data backup and recovery functions to prevent data loss and system failures and ensure the stability and reliability of the system.

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