Power network detection system and method based on sensor network

Abstract

The invention provides a power network detection method based on a sensor network. The power network detection method based on the sensor network includes the steps of abnormity detecting, node reporting, cluster reporting, cluster set resetting, cluster set dynamic updating and cluster set combining. The invention further provides a power network detection system implementing the method. When a relatively important abnormity state is detected by nodes of the sensor network, abnormity data can be uploaded in real time, and transmission time delay is shortened. In addition, as the nodes of the same abnormity area can be integrated into one cluster set, the abnormity data can be transmitted, managed and applied in a gathered mode, and influence on other nodes except for the abnormity area is reduced.

Description

technical field [0001] The present application relates to power grid technology, and more specifically, to a sensor network-based power grid detection system and method. Background technique [0002] The power grid undertakes the key function of transporting production and domestic electricity. Once the power grid fails, especially once there is a partial interruption or even a large-scale interruption, it will seriously affect the operation of various sectors of society and cause major losses. There are many factors that may lead to power grid failure and interruption, including internal factors of the power grid itself, such as short circuits and overloads due to aging and damage of components, which cause accidents, and external environmental factors, such as ice and snow, strong wind, severe cold, Abnormal phenomena such as fire and humidity will cause damage to the power grid. Therefore, an important aspect of avoiding power grid failures and interruptions is to detec...

AI Technical Summary

Problems solved by technology

However, the price paid is that the delay of data transmission is increased, and the cluster to which the node belongs is in an uncertain state

[0010] First of all, the above-mentioned mechanism of clustering and dynamic routing is repeatedly executed, and each time requires multiple rounds of negotiation between nodes. During the negotiation period, the payload of the payload cannot be transmitted. Therefore, in the above mode, the cluster will be in the negotiation state and the payload of the payload will be transmitted. Switching between states increases the delay of effective data load transmission; if the power grid is in a normal working state, it is acceptable for the state data collected by the sensor to be transmitted to the gateway node after a long delay, but if the data collected by the sensor reflects If there is a major abnormal state, such as a fire detected by a smoke sensor, it is hoped that the transmission of this data to the monitoring center will not experience any unnecessary delay

[0011] On the other hand, the abnormal state encountered by the power grid generally presents the characteristics of regional distribution, for example, figure 1 As shown in the dotted line box in , the detection points where the end nodes 101C and 101F are located are relatively close to each other, and both detect an abnormal change in the external environment at the same time; however, because the two end nodes are in different clusters, The abnormal data will be reported to the monitoring center with different transmission paths respectively, which shields the correlation of the abnormal data detected by the two, and brings difficulties for the monitoring center to analyze the detection data; it can be seen that the cluster in the prior art The topology mode cannot integrate multiple nodes in the same abnormal area in the power network into the same cluster, so as to perform unified management and application of the above nodes and their detection data

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