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Research on Intelligent Firefighting Robot in Transformer Substation Based on Water Mist Technology

Yan Jiang, Xuze Zhang, Yue Wang

Year
2020
Citations
2

Abstract

As a key component of power system, the operation state of transformer substation is related to the safety and stability of the whole power grid. However, due to its own characteristics, the relevant equipment of the transformer substation is oil-filled equipment, and the transformer substation is located far away from the urban area, which are mostly unattended transformer substations. In case of fire, it is difficult for firefighters and related facilities to reach the site at the first time, so it has serious potential safety hazards. The plan proposed in this paper combines water mist fire suppression technology with the latest robot system, and uses advanced transmission system and power core system to realize preventive cooling and automatic fire suppression in key areas. The self-supply water tank adopts the self-supply water supply mode, which is not limited by hose. It is flexible and has a large range of activities. It combines various autonomous navigation technologies such as LIDAR navigation, visual navigation, UWB localization navigation and the like to realize autonomous intelligent navigation of the robot. At the same time, it can be interconnected with the intelligent firefighting system, and quickly deal with the fire in the embryonic stage, which can comprehensively improve the fire safety level of the transformer substation.

Keywords

FirefightingTransformerMistFire protectionRobotEngineeringComputer scienceReal-time computingAutomotive engineeringElectrical engineering

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