Substation equipment maintenance management system of intelligent substation

Abstract

The invention relates to the field of substation management, in particular to a substation equipment maintenance management system of an intelligent substation. Comprising an operation data set acquisition module which is used for carrying out real-time data acquisition through a plurality of data sources and acquiring a multi-source real-time operation data set of a plurality of transformer substation devices in a target area; the system comprises a scheduling and scheduling module, a personnel management module, an equipment management module, a data analysis and decision support module, an early warning and emergency response module, an intelligent scheduling adjustment module, a system notification and communication module, a man-machine interaction and interface module, a historical record and report module and a system security and authority management module. The scheduling and scheduling module is responsible for personnel scheduling and scheduling of work tasks; the technical effects that dynamic feedback optimization is carried out through multi-source real-time data acquisition and digital twin modeling, the operation state of the substation equipment is accurately evaluated, and the equipment management efficiency is remarkably improved are achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of substation management, and particularly relates to a substation maintenance management system of an intelligent substation. BACKGROUND

[0002] In the power system, the substation as a key hub connecting power generation and power consumption, the stable operation of its equipment is crucial. However, the current substation equipment management faces many challenges. On the one hand, the traditional data acquisition method is relatively single, and relies on limited sensors to obtain a few key parameters, such as only focusing on voltage, current and other electrical quantities, which is difficult to fully capture the equipment operation state. This one-sided data acquisition makes the understanding of the equipment operation condition not deep enough, and many potential fault hidden dangers cannot be detected in time. On the other hand, in the aspect of operation characteristic analysis, the existing technology lacks efficient data fusion and deep analysis ability. For multi-source data from different types of sensors, it is difficult to effectively integrate and mine, resulting in only simple statistical analysis can be carried out, and the key characteristics of equipment operation cannot be accurately refined. This makes the early warning of equipment failure not timely and accurate enough, increasing the risk of sudden equipment failure. In addition, the operation and maintenance work mainly relies on manual experience to formulate operation and maintenance strategies. This way not only consumes time and effort, but also is prone to decision-making errors due to individual experience differences. In the face of complex and variable equipment operation conditions, manual troubleshooting and handling of faults are inefficient, and the equipment downtime is long, which seriously affects the stability and reliability of power supply. SUMMARY

[0003] The purpose of the present application is to provide a substation maintenance management system of an intelligent substation which eliminates the above-mentioned defects.

[0004] The application is implemented as follows: a power transformation maintenance management system of an intelligent power transformation station, which comprises a running data set acquisition module for acquiring a multi-source real-time running data set of a plurality of power transformation station devices in a target area through real-time data collection of a plurality of data sources; a scheduling and dispatching module, a personnel management module, a device management module, a data analysis and decision support module, a warning and emergency response module, an intelligent scheduling adjustment module, a system notification and communication module, a man-machine interaction and interface module, a historical record and report module, and a system security and permission management module; the scheduling and dispatching module is responsible for personnel scheduling and work task scheduling; the personnel management module is responsible for managing the basic information, skill qualifications, and working hours of all personnel in the power transformation station; the device management module is responsible for managing all devices in the power transformation station; the data analysis and decision support module provides scheduling optimization and decision support by collecting and analyzing the running data of the power transformation station; the warning and emergency response module is responsible for monitoring abnormal conditions of the power transformation station and automatically triggering emergency response measures when a sudden event occurs; the intelligent scheduling adjustment module automatically adjusts the scheduling scheme according to real-time data, external environmental changes, and personnel status; the system notification and communication module provides notification and communication functions of the system to ensure that information is timely delivered to all relevant personnel; the man-machine interaction and interface module provides a user-friendly interface to support the use needs of different roles such as managers, dispatchers, and employees; the historical record and report module is used to record historical operation data of the power transformation station, generate regular reports, and perform historical data query and analysis; and the system security and permission management module is responsible for protecting the security, permission control, and user identity management of the system to ensure the stability and information security of the system.

[0005] Further, it further comprises a running timestamp determination unit for performing running time sequence analysis on a plurality of power transformation station devices according to the plurality of data sources to determine a running timestamp; a running time sequence data column generation unit for aligning the multi-source real-time running data set according to the running timestamp to generate a running time sequence data column; a self-encoder construction unit for reconstructing the multi-source real-time running data set by traversing the running time sequence data column to construct a self-encoder; and an encoding fusion unit for encoding and fusing the multi-source real-time running data set through the self-encoder to generate the fusion data set.

[0006] Further, it further comprises a multi-dimensional data matrix acquisition unit for loading the fusion data set for multi-dimensional data integration to obtain a multi-dimensional data matrix; and a multi-domain feature signal acquisition unit for traversing the multi-dimensional data matrix to mine features according to the running time sequence data column to obtain multi-domain feature signals, wherein the multi-domain features include running frequency domain feature signals and running time domain feature signals.

[0007] Further, it further comprises a frequency domain component information determination unit, configured to decompose the operation time domain characteristic signal according to the operation frequency domain characteristic signal, to determine a plurality of frequency domain component information; a correlation analysis unit, configured to traverse the plurality of frequency domain component information and a plurality of transformer equipment to perform correlation analysis, to obtain a plurality of equipment operation cycle characteristics; and an equipment operation cycle characteristic adding unit, configured to add the plurality of equipment operation cycle characteristics to the plurality of operation characteristics.

[0008] By implementing the above technical solutions, the application obtains a plurality of real-time operation data sets through a plurality of data sources by using a running data set acquisition module for real-time data collection; determines a plurality of operation characteristics by fusing the plurality of real-time operation data sets to generate a fused data set and performing feature analysis by using a running feature determination module; constructs a plurality of transformer equipment three-dimensional models to construct a plurality of transformer equipment three-dimensional digital twin models by using a twin model construction module; obtains equipment operation state information by performing operation evaluation on the plurality of transformer equipment by using a running state information acquisition module; performs operation and maintenance analysis on the plurality of transformer equipment by traversing the equipment operation state information combined with the plurality of operation characteristics by using an operation and maintenance analysis module, to formulate equipment management suggestions; performs simulation operation and maintenance based on the equipment management suggestions to generate simulation operation and maintenance results, to perform dynamic feedback optimization according to the simulation operation and maintenance results, to generate an equipment management scheme, and to perform intelligent management control by using a management control module. The technical effects of real-time multi-source data collection, digital twin modeling, dynamic feedback optimization, accurate assessment of transformer equipment operation state, and significantly improved equipment management efficiency are achieved. DETAILED DESCRIPTION

[0009] The application is not limited by the following examples, and the specific implementation can be determined according to the technical solutions of the application and the actual situation.

[0010] The power substation maintenance management system of the embodiment includes an operation data set acquisition module for collecting real-time data through multiple data sources to obtain a multi-source real-time operation data set of multiple power substation devices in a target area; a scheduling and dispatching module, a personnel management module, a device management module, a data analysis and decision support module, a warning and emergency response module, an intelligent scheduling adjustment module, a system notification and communication module, a human-computer interaction and interface module, a historical record and report module, and a system security and permission management module; the scheduling and dispatching module is responsible for personnel scheduling and work task scheduling; the personnel management module is responsible for managing the basic information, skill qualifications, and working hours of all personnel in the power substation; the device management module is responsible for managing all devices in the power substation; the data analysis and decision support module provides scheduling optimization and decision support by collecting and analyzing the operation data of the power substation; the warning and emergency response module is responsible for monitoring abnormal conditions of the power substation and automatically triggering emergency response measures when a sudden event occurs; the intelligent scheduling adjustment module automatically adjusts the scheduling scheme according to real-time data, external environmental changes, and personnel status; the system notification and communication module provides notification and communication functions of the system to ensure that information is timely delivered to all relevant personnel; the human-computer interaction and interface module provides a user-friendly interface to support the use needs of different roles such as managers, dispatchers, and employees; the historical record and report module is used to record historical operation data of the power substation, generate regular reports, and perform historical data query and analysis; and the system security and permission management module is responsible for protecting the security, permission control, and user identity management of the system to ensure the stability and information security of the system.

[0011] Further comprising a running timestamp determination unit for performing running time sequence analysis on the multiple power substation devices according to the multiple data sources to determine a running timestamp; a running time sequence data column generation unit for aligning the multi-source real-time operation data set according to the running timestamp to generate a running time sequence data column; a self-encoder construction unit for reconstructing the multi-source real-time operation data set by traversing the running time sequence data column to construct a self-encoder; and an encoding fusion unit for encoding and fusing the multi-source real-time operation data set through the self-encoder to generate the fusion data set.

[0012] Further comprising a multi-dimensional data matrix acquisition unit for loading the fusion data set for multi-dimensional data integration to obtain a multi-dimensional data matrix; and a multi-domain feature signal acquisition unit for traversing the multi-dimensional data matrix to mine features according to the running time sequence data column to obtain multi-domain feature signals, wherein the multi-domain features include running frequency domain feature signals and running time domain feature signals.

[0013] The method also comprises a frequency domain component information determining unit configured to decompose the operation time domain characteristic signal according to the operation frequency domain characteristic signal to determine a plurality of frequency domain component information; a correlation analysis unit configured to perform correlation analysis on the plurality of frequency domain component information and a plurality of transformer equipment to obtain a plurality of equipment operation cycle characteristics; and an equipment operation cycle characteristic adding unit configured to add the plurality of equipment operation cycle characteristics to the plurality of operation characteristics.

[0014] The application provides a transformer equipment management platform combined with multi-source data fusion modeling, which comprises an operation data set acquisition module 10 configured to acquire a multi-source real-time operation data set of a plurality of transformer equipment in a target area through a plurality of data sources. Specifically, the operation data set acquisition module 10 acquires the multi-source real-time operation data set of the plurality of transformer equipment in the target area. At the hardware level, a high-performance data acquisition card and a multi-port network adapter are equipped to ensure that a plurality of data sources can be connected simultaneously. For the sensor data source, an industrial-grade wired or wireless sensor network technology such as ZigBee, LoRa, etc. is adopted to establish a reliable communication link with various sensors to acquire analog and switching data such as temperature, pressure, vibration, etc. and an A / D conversion module is used to convert the analog signals into digital signals. At the software level, a special data acquisition program is developed to support a plurality of communication protocols such as Modbus, OPC UA, etc. for data interaction with the automation monitoring system and other intelligent equipment. According to the characteristics of different data sources, corresponding data analysis rules and cache mechanisms are set. For the data source with high real-time requirements such as online monitoring sensors, real-time data pushing technology is adopted to ensure that the data can be quickly transmitted to the module; and for the relatively static data source such as historical maintenance records, data pulling and updating operations are performed regularly to ensure the timeliness of the data. At the same time, in order to ensure the accuracy and integrity of the data, data checking and error correction functions are integrated, and the cyclic redundancy check (CRC) algorithm is used to verify the collected data. Once the error data is found, it is immediately processed through data retransmission or error correction algorithm, so that a high-quality multi-source real-time operation data set is successfully acquired.

[0015] In this document, "up", "down", "front", "back", "left", "right" and the like are only used to indicate relative positional relationship between the relevant parts, and not to limit the absolute position of the relevant parts.

[0016] The above technical features constitute the best embodiment of the application, which has strong adaptability and best implementation effect. Non-essential technical features can be added or subtracted according to actual needs to meet the needs of different situations.

Claims

1. A smart substation power substation maintenance management system, characterized by: It includes an operating data set acquisition module, which is used to collect real-time data from multiple data sources and obtain multi-source real-time operating data sets of multiple substation equipment in the target area; a scheduling and dispatching module, a personnel management module, an equipment management module, a data analysis and decision support module, an early warning and emergency response module, an intelligent scheduling adjustment module, a system notification and communication module, a human-computer interaction and interface module, a history record and reporting module, and a system security and authority management module; The scheduling and dispatching module is responsible for scheduling personnel and dispatching work tasks; the personnel management module is responsible for managing the basic information, skills and qualifications, and working hours of all substation staff; the equipment management module is responsible for managing all equipment in the substation; the data analysis and decision support module provides scheduling optimization and decision support by collecting and analyzing substation operating data; the early warning and emergency response module is responsible for monitoring abnormal conditions in the substation and automatically triggering emergency response measures when emergencies occur; the intelligent scheduling adjustment module automatically adjusts the scheduling plan based on real-time data, external environmental changes, and personnel status; the system notification and communication module provides system notification and communication functions to ensure that information is delivered to all relevant personnel in a timely manner; the human-computer interaction and interface module provides a user-friendly interface to support the usage needs of different roles such as managers, dispatchers, and employees; the history recording and reporting module is used to record the historical operation data of the substation, generate regular reports, and perform historical data query and analysis; the system security and authority management module is responsible for protecting the system security, authority control, and user identity management to ensure system stability and information security.

2. The intelligent substation maintenance and management system according to claim 1, characterized in that: The system further includes an operation timestamp determination unit for performing operation time series analysis on multiple substation devices according to the multiple data sources to determine an operation timestamp; an operation time series data sequence generation unit for aligning the multiple source real-time operation data sets according to the operation timestamps to generate an operation time series data sequence; An autoencoder construction unit is configured to traverse the runtime series data columns to reconstruct the multi-source real-time runtime data set and construct an autoencoder; The encoding fusion unit is used to encode and fuse the multi-source real-time running data sets through the autoencoder to generate the fused data set.

3. The intelligent substation maintenance management system according to claim 1 or 2, characterized in that: It also includes a multidimensional data matrix acquisition unit, which is used to load the fusion data set to perform multidimensional data integration and obtain a multidimensional data matrix; a multi-domain feature signal acquisition unit, which is used to traverse the multidimensional data matrix and perform feature mining according to the runtime sequence data column to obtain multi-domain feature signals, wherein the multi-domain features include runtime frequency domain feature signals and runtime domain feature signals.

4. The intelligent substation maintenance and management system according to claim 3, characterized in that: It also includes a frequency domain component information determination unit, which is used to decompose the operation frequency domain characteristic signal according to the operation frequency domain characteristic signal to determine a plurality of frequency domain component information; a correlation analysis unit, which is used to traverse the plurality of frequency domain component information and perform correlation analysis with a plurality of substation equipment to obtain a plurality of equipment operation cycle characteristics; and an equipment operation cycle characteristic adding unit, which is used to add the plurality of equipment operation cycle characteristics to the plurality of operation characteristics.