An Intelligent Recognition Method of Power Emergency Response Safety Pre-control Based on Grid GIS

Abstract

The invention provides a power grid GIS-based intelligent identification method for safety pre-control of electric power emergency disposal, and relates to the field of electric power emergency disposal. The invention locates the accident scene and the positions of the emergency personnel on the grid GIS. According to the latitude and longitude coordinates of the accident site, locate on the power grid GIS; according to the high-precision multi-positioning module of the emergency response personnel wearing an accompanying terminal, display the real-time position on the power grid GIS, and divide and construct the early warning identification area through the environmental monitoring and early warning of the emergency response site, based on the early warning identification After the electronic fence for field operations is automatically generated in the district, a small-scale model of the spread of wildfires and hazardous chemicals is established based on meteorological data, topographical data, and landform data to dynamically predict the development trend and form a dynamically quantified spread direction, range, speed, etc. Calculate the results, analyze and judge the impact on power grid facilities, and provide a basis for scientific and rapid emergency response to accident sites. The invention reduces the working pressure of the central platform, improves the division accuracy of disaster affected areas, and can save the data collected when the disaster occurs.

Description

technical field [0001] The invention relates to the field of monitoring using power grid GIS, in particular to a power grid GIS-based power emergency response safety pre-control intelligent identification technology and method. Background technique [0002] With the increasing threat and impact on the safe and reliable operation of the power grid caused by wildfires, hazardous chemicals and other accidents, and the lack of timely judgment of the accident site environment and information acquisition by emergency responders, the personal safety of emergency responders cannot be obtained. Therefore, it is urgent to strengthen the safety pre-control and environmental intelligent identification and monitoring and early warning capabilities at the emergency disposal site, and the solutions adopted in the existing technology to solve the above problems are usually through the central control platform to process and predict on-site data information. Afterwards, designate a rendezvou...

AI Technical Summary

Problems solved by technology

[0002] As wildfires, hazardous chemicals and other accidents pose more and more threats and impacts on the safe and reliable operation of the power grid, and the emergency response personnel's judgment on the accident site environment and information acquisition is not timely enough, the personal safety of emergency response personnel cannot be obtained. Therefore, there is an urgent need to strengthen the safety pre-control and environmental intelligent identification and monitoring and early warning capabilities of the emergency response site. However, the solutions adopted in the prior art to solve the above problems are usually to process and predict the data information on the site through the central control platform. Afterwards, designate an assembly point for disaster relief personnel to assemble

This type of processing method puts a lot of pressure on the central control platform. When a disaster occurs, the central control platform needs to process a large amount of data, and it cannot effectively distinguish the specific severity of the disaster at the disaster site; at the same time, historical data and Current data, a single direct prediction, usually with a large error

Although in order to avoid the problem of a large amount of data processed by the central control platform, mobile edge computing nodes, fog computing, etc. can be used to sink the data processing process, but there are still a series of problems. And the sinking method of the storage process, the edge nodes on the site may be damaged due to the disaster, and the valuable data related to the disaster cannot be recovered or stored

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