Novel electric power statute clustering analysis method of fuzzy pattern recognition

Abstract

The invention discloses a novel electric power statute clustering analysis method of fuzzy pattern recognition. Statutes are classified through the clustering analysis method and are finally output through conduction of communication and analysis different in mode according to the difference of condition code. According to the novel electric power statute clustering analysis method of the fuzzy pattern recognition, after transmitted statutes enter equipment, corresponding communication channels can be chosen according to different types, the statutes enter an analysis main center, in the main center, corresponding statute analysis is conducted on corresponding condition codes, and then different output is further conducted.

Description

technical field [0001] The invention relates to the field of household intelligent power consumption and the technical field of electric power information management device structure. Background technique [0002] With the rapid development of smart grid and the wide application of Internet of Things technology, various intelligent automatic devices have emerged on the market. These devices have been widely used in the field of large power grid control, and even Opportunities are becoming more and more numerous. These "opportunities" continue to increase, which puts forward higher and higher requirements for the daily maintenance and operation management of the power automation system of the large power grid, which is mainly reflected in the following aspects: [0003] (1) The communication protocol is complex and various, and there are various problems in the communication connection between devices. It is difficult for power automation maintenance personnel to solve these...

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Problems solved by technology

[0003] (1) The communication protocol is complex and various, and there are various problems in the communication connection between devices. It is difficult for power automation maintenance personnel to solve these problems effectively by manual methods alone. There is an urgent need for an intelligent and efficient tool to assist in this work.

[0004] (2) The messages of the communication protocol are all data displayed in hexadecimal (or binary). Reading these data messages is very troublesome and time-consuming, which seriously affects the fault analysis and positioning. It is necessary to have a device that can translate communication data messages during work. A regulated electronic dictionary into Chinese characters, which is convenient for maintenance personnel to analyze communication data in depth

[0005] (3) In any link of the large power grid, data collection and interaction processes involving multiple manufacturers and protocols are generally involved: typically, in the same substation, the manufacturers of substation equipment are different, and the understanding of the same protocol It is also inevitable that there will be differences. These differences often bring a lot of inconvenience to the acceptance of substations. It is necessary to be compatible with the differences in various regulations and provide more fast and convenient acceptance tools during the acceptance process.

[0006] (4) In the daily maintenance work of the power automation system, some irregular faults often appear. For these faults, it is difficult to find them only by analyzing the data obtained through the main station system at present, and it is relatively difficult to find them. Difficult, so there is an urgent need for a tool that can monitor channel data online for a long time, quickly capture and find events, and analyze and explain the monitoring data in detail, effectively assisting rapid troubleshooting

[0007] (5) In the current power automation system, there is generally a lack of data sharing and conversion links. The key is the lack of a tool with data routing and protocol conversion functions. Often a small intelligent change requires the replacement of the main operating equipment

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