Multi-sensor multi-parameter information intelligent integration system

Abstract

The invention discloses a multi-sensor multi-parameter information intelligent integration system. The system comprises an information integration portion and a multisource heterogeneous information cooperative decision-making unit, wherein the signal input end of the information integration portion is used for connection with a multisource heterogeneous sensor node model, and the signal output end of the information integration portion is connected with the multisource heterogeneous information cooperative decision-making unit; and the information integration portion comprises a cooperative management unit, a fault diagnosis unit, an information determining unit, an information inference unit, an information integration unit and a perception learning unit. According to the invention, through combination and cooperation of the units of the information integration portion, power equipment operation state monitoring, fault diagnosis analysis and intelligent auxiliary decision-making functions are realized.

Description

Technical field [0001] The invention relates to the technical field of online monitoring of distribution network equipment, in particular to a multi-sensor multi-parameter information intelligent fusion system. Background technique [0002] The Internet of Things technology is currently triggering a new round of industrial revolution on a global scale and has become an important force for promoting economic and social development. A typical IoT system is generally divided into three layers: perception layer, network layer and application layer. Among them, a large number of sensor devices form a perception layer network, which is defined as a wireless self-organizing sensor network. Wireless Sensor Network (WirelessSensorNetwork, WSN) is a wireless network composed of a large number of stationary or moving sensors in a self-organizing and multi-hop manner to cooperatively sense, collect, process and transmit the information of the sensed objects in the geographical area covered ...

AI Technical Summary

Problems solved by technology

[0006] (1) Insufficient online monitoring means for distribution network equipment, lack of equipment operation status information, and distribution network scheduling is in a "blind adjustment" state;

[0007] (2) Insufficient investment in distribution network and weak supporting communication network foundation;

[0008] (3) There are many power distribution equipment, many points and a wide range, and the cost of traditional monitoring and communication methods is huge

[0009] Due to the large number of distribution network equipment and the unbalanced ratio between maintenance personnel and equipment, the maintenance workload is increasing. Excessive maintenance workload has become one of the factors that restrict the growth of power system benefits and work efficiency.

Due to the lack of necessary technical means to support the distribution network condition maintenance work, it is difficult to complete the work in time with limited personnel, which reduces the operation reliability and service level of the distribution network

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