Operation inspection main network equipment data management platform

Abstract

The invention relates to the technical field of electric power operation inspection, in particular to an operation inspection main network equipment data management platform, which comprises a data acquisition module used for acquiring various parameter data of main network equipment in real time through an internet of things technology, including but not limited to electrical parameters, environmental parameters and mechanical state parameters; and the data preprocessing module is used for cleaning, denoising and normalizing the collected data so as to improve the data quality and the accuracy of subsequent analysis. According to the platform, six core modules of data acquisition and preprocessing, real-time monitoring and visual display, intelligent analysis and prediction, early warning and emergency response, equipment asset management and mobile operation and maintenance application are integrated, and omnibearing, deep and efficient management of main network equipment data is realized. Through the platform, the operation and maintenance personnel can grasp the equipment state in real time, timely discover and process the equipment abnormity, improve the operation and maintenance efficiency, reduce the operation and maintenance cost, and guarantee the safe and stable operation of the power grid.

Description

Technical Field

[0001] The present application relates to the technical field of electric power operation and inspection technology, and in particular to a data management platform for operation and inspection main network equipment. Background Art

[0002] With the expansion of the scale of power grids and the improvement of the level of intelligence, the number of main grid equipment has increased dramatically, which has put forward higher requirements for real-time monitoring, analysis and management of equipment data. Traditional manual inspection and manual recording methods can no longer meet the needs of modern power grid operation and maintenance, and there are problems such as untimely data collection, low processing efficiency, and insufficient decision support. Therefore, it is particularly important to develop an efficient and intelligent main grid equipment data management platform for operation and maintenance. Summary of the invention

[0003] In view of the shortcomings of the existing technology, this application provides a data management platform for the main network equipment of the operation and inspection.

[0004] The above application objectives of this application are achieved through the following technical solutions:

[0005] A data management platform for main network equipment for operation and inspection, including a data acquisition module, for collecting various parameter data of main network equipment in real time through Internet of Things technology, including but not limited to electrical parameters, environmental parameters and mechanical state parameters;

[0006] Data preprocessing module, used to clean, denoise and normalize the collected data to improve data quality and the accuracy of subsequent analysis;

[0007] Real-time monitoring and visualization module, used to build a real-time data stream processing platform, realize rapid data aggregation and real-time analysis, and display device data through a visual interface;

[0008] The intelligent analysis and prediction module uses artificial intelligence technologies such as machine learning and deep learning to conduct in-depth mining of historical data, build equipment failure prediction models, performance degradation models, etc., to achieve accurate assessment of equipment status and fault warning;

[0009] The early warning alarm and emergency response module automatically triggers the early warning or alarm mechanism according to abnormal changes in equipment data, and integrates the emergency response plan library to provide corresponding emergency response plans;

[0010] Equipment asset management module is used to establish an equipment information database, record the basic information, technical parameters, manufacturer and other key information of the equipment, and realize the information management of the entire life cycle of the equipment;

[0011] The mobile operation and maintenance module provides cross-platform mobile applications, supports remote monitoring, data query, task assignment and other functions, and improves operation and maintenance efficiency.

[0012] Optionally, the data acquisition module further includes a sensor network for sensing the device status in real time and transmitting data to a data processing center.

[0013] Optionally, the intelligent analysis and prediction module also includes a model training and optimization unit, which is used to continuously learn and iteratively optimize the prediction model based on newly collected data.

[0014] Optionally, the early warning alarm and emergency response module also includes a multi-level alarm mechanism, which automatically selects an appropriate alarm mode according to the type and severity of the fault.

[0015] Optionally, the equipment asset management module also includes equipment maintenance plan and repair record management functions, which are used to formulate and implement equipment maintenance plans and record equipment maintenance history.

[0016] Optionally, the mobile operation and maintenance module also includes mobile application update and upgrade functions to ensure that the mobile application is always synchronized with the platform and provides the latest functions and services.

[0017] Optionally, the platform also includes a data security and privacy protection module, which uses data encryption technology and user authority management mechanism to protect the security and privacy of device data.

[0018] Optionally, the platform adopts a modular design, allowing users to expand and customize functions as needed, and provides an open API interface to support the integration of third-party applications and services.

[0019] Optionally, the platform also includes a data analysis report generation module, which is used to automatically generate a detailed equipment data analysis report based on the analysis results for reference and decision-making by operation and maintenance personnel.

[0020] Optionally, the platform also includes a remote collaboration and communication module to support remote collaboration and real-time communication between operation and maintenance personnel, thereby improving team collaboration efficiency.

[0021] Optionally, the platform also includes an equipment health index assessment module, which is used to comprehensively assess the health status of the equipment and provide corresponding maintenance recommendations.

[0022] Optionally, the platform also includes an intelligent scheduling and optimization module, which automatically adjusts equipment operation strategies according to equipment status and operating requirements to improve the stability and efficiency of power grid operation.

[0023] A data management platform system for main network equipment for operation and inspection, the system comprising:

[0024] one or more memories for storing instructions; and

[0025] One or more processors, configured to call and execute the instructions from the memory to perform the method according to any one of claims 1 to 8.

[0026] A computer-readable storage medium, the computer-readable storage medium comprising:

[0027] The program, when the program is executed by a processor, the method according to any one of claims 1 to 8 is executed.

[0028] In summary, the present application has the following beneficial technical effects: The present invention aims to provide a data management platform for the main network equipment, which integrates six core modules: data collection and preprocessing, real-time monitoring and visual display, intelligent analysis and prediction, early warning alarm and emergency response, equipment asset management and mobile operation and maintenance applications, and realizes the all-round, in-depth and efficient management of the main network equipment data. Through this platform, the operation and maintenance personnel can grasp the equipment status in real time, discover and handle equipment abnormalities in time, improve the operation and maintenance efficiency, reduce the operation and maintenance cost, and ensure the safe and stable operation of the power grid.

[0029] Improve operation and maintenance efficiency: Through real-time monitoring and intelligent early warning, operation and maintenance personnel can promptly discover and handle equipment abnormalities, reduce the frequency of manual inspections and troubleshooting time, and improve operation and maintenance efficiency.

[0030] Reduce operation and maintenance costs: Through intelligent analysis and prediction, operation and maintenance personnel can accurately assess the status of equipment, take maintenance measures in advance, avoid the expansion of faults and power outages, and reduce operation and maintenance costs.

[0031] Improve grid stability: By comprehensively monitoring equipment status, timely discover and handle equipment anomalies, ensure safe and stable operation of the grid, and improve the reliability and stability of grid power supply.

[0032] Optimize resource allocation: Through data analysis, operation and maintenance personnel can understand the operating rules and maintenance requirements of equipment, rationally allocate operation and maintenance resources, and improve resource utilization efficiency.

[0033] Enhance decision-making support capabilities: Provide scientific basis for operation and maintenance decision-making through intelligent analysis and prediction, and promote the intelligent and refined development of operation and maintenance management BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a schematic diagram of an implementation method of the present application. DETAILED DESCRIPTION

[0035] The present application is further described in detail below in conjunction with the accompanying drawings.

[0036] Data acquisition and preprocessing module

[0037] The data collection and preprocessing module is the cornerstone of the platform. It is responsible for real-time collection of operating data of the main network equipment and preprocessing to provide a reliable foundation for subsequent analysis.

[0038] Data collection: Through the Internet of Things technology, smart sensors, remote terminal units (RTUs) and other equipment are deployed at key nodes of the power grid to collect real-time electrical parameters (such as current, voltage, power factor), environmental parameters (such as temperature, humidity, wind speed) and mechanical state parameters (such as vibration, displacement) of the main network equipment. The data collection equipment adopts a low-power design and supports remote configuration and upgrade to ensure the real-time, accuracy and reliability of data collection.

[0039] Data preprocessing: Clean, denoise, normalize and other preprocessing operations are performed on the collected raw data to eliminate outliers, noise and redundant information in the data and improve data quality. At the same time, the data format is converted and compressed to reduce the cost of data transmission and storage.

[0040] Real-time monitoring and visualization module

[0041] The real-time monitoring and visualization module is responsible for displaying device data to operation and maintenance personnel in real time, so that they can quickly understand the status of the equipment and make accurate judgments.

[0042] Real-time monitoring: Based on cloud computing and big data technology, a real-time data stream processing platform is built to achieve rapid aggregation and real-time analysis of equipment data. Through real-time calculation and statistics, key information such as equipment operation status, abnormal alarms, performance trends, etc. is generated.

[0043] Visual display: Using 2D / 3D visualization technology, the equipment data is intuitively displayed in various forms such as charts, curves, and maps. Through dynamic refresh, color coding, interactive operation and other means, the intuitiveness and readability of data display are improved. At the same time, it supports the generation of custom reports and reports, which is convenient for operation and maintenance personnel to analyze and summarize data.

[0044] Intelligent analysis and prediction module

[0045] The intelligent analysis and prediction module is the core of the platform. It is responsible for using artificial intelligence technology to conduct in-depth mining and analysis of equipment data to achieve accurate assessment of equipment status and fault warning.

[0046] Intelligent analysis: Use machine learning, deep learning and other artificial intelligence technologies to conduct in-depth mining of historical data, build equipment failure prediction models, performance degradation models and energy consumption optimization models, etc. Through continuous learning and iterative optimization, improve the accuracy and generalization ability of the model.

[0047] Fault warning: Based on the intelligent analysis model, the equipment data is monitored and analyzed in real time to promptly detect equipment anomalies and potential faults. By setting the warning threshold and alarm rules, the warning mechanism is automatically triggered to notify the operation and maintenance personnel in advance to take measures to avoid the expansion of faults and power outages.

[0048] Early warning alarm and emergency response module

[0049] The early warning alarm and emergency response module is responsible for issuing early warning and alarm information in a timely manner when equipment fails or abnormalities occur, and guiding operation and maintenance personnel to respond and handle quickly.

[0050] Early warning and alarm: Automatically trigger early warning or alarm mechanisms based on abnormal changes in device data. Notify maintenance personnel instantly through SMS, email, APP push, etc. At the same time, provide detailed information and handling suggestions for early warning and alarm information to help maintenance personnel quickly locate problems.

[0051] Emergency response: The integrated emergency response plan library automatically recommends corresponding emergency response plans based on the type and severity of equipment failures. By guiding operation and maintenance personnel to handle failures according to the plan, the fault handling time is shortened and the impact of failures is reduced.

[0052] Equipment asset management module

[0053] The equipment asset management module is responsible for realizing the information management of the entire life cycle of the equipment, including the management of the entire life cycle data such as basic equipment information, procurement records, installation and commissioning, operation and maintenance logs, and scrapping disposal.

[0054] Equipment information management: Establish an equipment information database to record key information such as basic equipment information, technical parameters, manufacturer, installation location, etc. Support rapid query, modification and update of equipment information to ensure the accuracy and completeness of equipment information.

[0055] Procurement and installation and commissioning management: record the equipment procurement records, installation and commissioning process, acceptance results and other information. Through digital management, the whole process of equipment procurement, installation and commissioning can be tracked and monitored to ensure that the equipment quality meets the standards.

[0056] Operation and maintenance log management: record the daily operation and maintenance records, fault handling records, maintenance records, etc. Through data analysis, the equipment operation rules and maintenance requirements are discovered, providing a scientific basis for preventive maintenance.

[0057] Scrap management: record the scrapping reasons, scrapping time, disposal methods and other information of the equipment. Through digital management, the whole process of equipment scrapping can be tracked and monitored to ensure that the equipment scrapping complies with relevant laws and regulations and standards.

[0058] Mobile operation and maintenance application module

[0059] The mobile operation and maintenance application module is responsible for developing cross-platform mobile applications, supporting mainstream operating systems such as iOS and Android, realizing functions such as remote monitoring, data query, task assignment, work report submission, etc., to improve the work efficiency and response speed of operation and maintenance personnel.

[0060] Remote monitoring: Through mobile applications, operation and maintenance personnel can view information such as equipment status, abnormal alarms, and performance trends anytime and anywhere. It supports real-time refresh and interactive operations to improve the real-time and readability of data display.

[0061] Data query: Provides query function for equipment data, supports filtering and sorting by time range, equipment type, abnormality type, etc. Through data query, operation and maintenance personnel can quickly obtain the required information to provide support for decision-making.

[0062] Task assignment: Supports the assignment and tracking of operation and maintenance tasks. Through the mobile application, operation and maintenance managers can assign tasks to designated operation and maintenance personnel and track the progress and completion of tasks in real time. At the same time, it provides task reminders and urging functions to ensure that tasks are completed on time.

[0063] Work report submission: Support operation and maintenance personnel to submit work reports and operation and maintenance records through mobile applications. Through digital management, the whole process of work reports can be tracked and monitored, and the accuracy and timeliness of work reports can be improved.

[0064] System Architecture

[0065] The intelligent operation and inspection main network equipment data management platform of the present invention adopts a distributed architecture, including a data acquisition layer, a data processing layer, a data analysis layer, an application service layer and a user interface layer. Each layer communicates and exchanges data through a standard interface to achieve flexible expansion and efficient operation of the system.

[0066] Data acquisition layer: responsible for real-time collection of operating data of main network equipment, including electrical parameters, environmental parameters, and mechanical state parameters, etc. The data acquisition equipment communicates with the data acquisition layer through the Internet of Things technology and transmits the collected data to the data processing layer.

[0067] Data processing layer: responsible for receiving data transmitted by the data collection layer, and performing preprocessing and cleaning. Through operations such as data compression and format conversion, the overhead of data transmission and storage is reduced. At the same time, the processed data is transmitted to the data analysis layer for further analysis.

[0068] Data analysis layer: Responsible for using artificial intelligence technology to conduct in-depth mining and analysis of equipment data. By building an intelligent analysis model, accurate evaluation of equipment status and fault warning can be achieved. At the same time, the analysis results are transmitted to the application service layer to provide decision support for operation and maintenance personnel.

[0069] Application service layer: responsible for realizing various functions of the platform, including real-time monitoring, visual display, early warning alarm, emergency response, equipment asset management and mobile operation and maintenance applications, etc. It meets the diverse needs of operation and maintenance personnel by providing a variety of application interfaces and tools.

[0070] User interface layer: responsible for providing users with a friendly interactive interface and operation experience. Through the graphical interface and interactive operations, users can easily view equipment status, receive early warning alarm information, submit work reports, etc.

[0071] Data collection and preprocessing

[0072] The data acquisition equipment adopts a low-power design and supports remote configuration and upgrade. It communicates with the data acquisition layer through the Internet of Things technology and transmits the collected data to the data processing layer. The data processing layer preprocesses and cleans the received data, including data denoising, normalization, format conversion and compression. Through preprocessing operations, the data quality is improved, providing a reliable basis for subsequent analysis.

[0073] Real-time monitoring and visual display

[0074] The real-time monitoring module builds a real-time data stream processing platform based on cloud computing and big data technology. Through real-time calculation and statistics, it generates key information such as equipment operation status, abnormal alarms, performance trends, etc.

[0075] In one example, the unit in any of the above devices can be one or more integrated circuits configured to implement the above methods, such as: one or more application specific integrated circuits (ASICs), or, one or more digital signal processors (DSPs), or, one or more field programmable gate arrays (FPGAs), or a combination of at least two of these integrated circuit forms.

[0076] For another example, when the units in the device can be implemented in the form of a processing element scheduling program, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call a program. For another example, these units can be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0077] Various objects such as various messages / information / equipment / network elements / systems / devices / actions / operations / processes / concepts that may appear in this application are named. It can be understood that these specific names do not constitute a limitation on the relevant objects. The names assigned may change with factors such as scenarios, contexts or usage habits. The understanding of the technical meaning of the technical terms in this application should be mainly determined from the functions and technical effects embodied / executed in the technical scheme.

[0078] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0079] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0080] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0081] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0082] It should also be understood that in various embodiments of the present application, the first, second, etc. are only used to indicate that multiple objects are different. For example, the first time window and the second time window are only used to indicate different time windows. They should not have any impact on the time window itself, and the first, second, etc. mentioned above should not impose any limitations on the embodiments of the present application.

[0083] It should also be understood that in the various embodiments of the present application, unless otherwise specified or there is a logical conflict, the terms and / or descriptions between different embodiments are consistent and can be referenced to each other, and the technical features in different embodiments can be combined to form new embodiments according to their internal logical relationships.

[0084] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a computer-readable storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned computer-readable storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0085] An embodiment of the present application also provides a computer program product, which includes instructions. When the instructions are executed, the terminal device and the network device perform operations of the terminal device and the network device corresponding to the above method.

[0086] The present application also provides a data management platform system for a main network equipment of an operation and inspection system, the system comprising:

[0087] one or more memories for storing instructions; and

[0088] One or more processors are used to call and run the instructions from the memory to execute the method described above.

[0089] An embodiment of the present application also provides a chip system, which includes a processor for implementing the functions involved in the above content, such as generating, receiving, sending, or processing the data and / or information involved in the above method.

[0090] The chip system may be composed of chips, or may include chips and other discrete devices.

[0091] The processor mentioned in any of the above places can be a CPU, a microprocessor, an ASIC, or one or more integrated circuits for executing programs for controlling the above-mentioned feedback information transmission method.

[0092] In a possible design, the chip system also includes a memory, which is used to store necessary program instructions and data. The processor and the memory can be decoupled and respectively set on different devices, connected by wire or wireless means to support the chip system to implement various functions in the above embodiments. Alternatively, the processor and the memory can also be coupled on the same device.

[0093] Optionally, the computer instructions are stored in a memory.

[0094] Optionally, the memory is a storage unit within the chip, such as a register, a cache, etc. The memory can also be a storage unit within the terminal located outside the chip, such as a ROM or other types of static storage devices that can store static information and instructions, RAM, etc.

[0095] It can be understood that the memory in the embodiments of the present application may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories.

[0096] The non-volatile memory may be a ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), or a flash memory.

[0097] The volatile memory may be a RAM, which is used as an external cache. There are many different types of RAM, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM) and direct memory bus random access memory.

[0098] The embodiments of this specific implementation method are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Therefore, all equivalent changes made based on the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A data management platform for main network equipment, characterized in that: It includes a data acquisition module, which is used to collect various parameter data of the main network equipment in real time through the Internet of Things technology, including but not limited to electrical parameters, environmental parameters and mechanical state parameters; Data preprocessing module, used to clean, denoise and normalize the collected data to improve data quality and the accuracy of subsequent analysis; Real-time monitoring and visualization module, used to build a real-time data stream processing platform, realize rapid data aggregation and real-time analysis, and display device data through a visual interface; The intelligent analysis and prediction module uses artificial intelligence technologies such as machine learning and deep learning to conduct in-depth mining of historical data, build equipment failure prediction models, performance degradation models, etc., to achieve accurate assessment of equipment status and fault warning; The early warning alarm and emergency response module automatically triggers the early warning or alarm mechanism according to abnormal changes in equipment data, and integrates the emergency response plan library to provide corresponding emergency response plans; Equipment asset management module is used to establish an equipment information database, record the basic information, technical parameters, manufacturer and other key information of the equipment, and realize the information management of the entire life cycle of the equipment; The mobile operation and maintenance module provides cross-platform mobile applications, supports remote monitoring, data query, task assignment and other functions, and improves operation and maintenance efficiency.

2. The data management platform for the main operation and inspection network equipment according to claim 1 is characterized in that: The data acquisition module further includes a sensor network for sensing the device status in real time and transmitting data to a data processing center.

3. The data management platform for the main operation and inspection network equipment according to claim 2 is characterized in that: The intelligent analysis and prediction module also includes a model training and optimization unit for continuously learning and iteratively optimizing the prediction model based on newly collected data.

4. The data management platform for the main operation and inspection network equipment according to claim 3 is characterized in that: The early warning alarm and emergency response module also includes a multi-level alarm mechanism, which automatically selects an appropriate alarm mode according to the type and severity of the fault.

5. The data management platform for the main operation and inspection network equipment according to claim 4 is characterized in that: The equipment asset management module also includes equipment maintenance plan and repair record management functions, which are used to formulate and implement equipment maintenance plans and record equipment repair history.

6. The data management platform for the main operation and inspection network equipment according to claim 5 is characterized in that: The mobile operation and maintenance module also includes mobile application update and upgrade functions to ensure that the mobile application always keeps in sync with the platform and provides the latest functions and services.

7. The data management platform for the main operation and inspection network equipment according to claim 1 is characterized in that: The platform also includes a data security and privacy protection module, which uses data encryption technology and user rights management mechanism to protect the security and privacy of device data; The platform adopts a modular design, allowing users to expand and customize functions as needed, and provides an open API interface to support the integration of third-party applications and services; The platform also includes a data analysis report generation module, which is used to automatically generate detailed equipment data analysis reports based on the analysis results for reference and decision-making by operation and maintenance personnel.

8. The data management platform for the main operation and inspection network equipment according to claim 7 is characterized in that: The platform also includes a remote collaboration and communication module, which supports remote collaboration and real-time communication between operation and maintenance personnel, improving team collaboration efficiency; The platform also includes an equipment health index assessment module, which is used to comprehensively assess the health status of equipment and provide corresponding maintenance recommendations; The platform also includes an intelligent scheduling and optimization module that automatically adjusts equipment operation strategies according to equipment status and operating requirements to improve the stability and efficiency of power grid operation.

9. A data management platform system for main network equipment of operation and inspection, characterized in that: The system comprises: one or more memories for storing instructions; and One or more processors, configured to call and execute the instructions from the memory to perform the method according to any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that: The computer readable storage medium comprises: The program, when the program is executed by a processor, the method according to any one of claims 1 to 8 is executed.

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