City public health emergency rescue auxiliary decision system based on artificial intelligence technology

Abstract

The invention provides a city public health emergency rescue auxiliary decision system based on artificial intelligence technology. An unmanned aerial vehicle comprises a positioning module, a camera and a face identification module. The positioning module acquires geographical position information of a current position. The camera photographs a field real-time picture. A background commanding center comprises the components of a receiving module which receives the geographical position information of the current position and a corresponding field real-time picture; a disaster determining module which performs identification on the field real-time picture image for determining a specific field disaster type; a rescue requirement module which analyzes a rescue requirement, a medicament requirement and an equipment requirement according to injury condition characteristics; a wounded person positioning module which controls the unmanned aerial vehicle according to the field real-time picture for searching in a disaster area that cannot be approached through ground traffic; a face identification module which searches the trapped wounded person and determines the geographical position information of the current position when the wounded person exists; a receiving module which receives the transmitted image and the geographical position information of the trapped wounded person; and a medical record calling module which queries the previous medical record of the trapped wounded person according to the image of the trapped wounded person and transmits to field rescue personnel.

Description

technical field [0001] The present invention relates to the technical field of emergency rescue assistance, in particular to a city public health emergency rescue assistant decision-making system based on artificial intelligence technology. Background technique [0002] At present, based on the urgent needs of reality, the research results of emergency rescue systems, training systems, and simulation exercise systems are mostly different. Wang Yang et al. used technologies such as real earthquake simulation and rapid terrain rendering to truly represent earthquakes and scenes, and developed an earthquake drill simulation system that combined computer simulation technology with professional earthquake rescue drills; Zhang Qingsong et al. developed an airport emergency rescue GIS spatial database , completed the digital management of the emergency resource database, and established an emergency resource allocation model to determine the best plan; Xu Hui et al. discussed the a...

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Problems solved by technology

Wang Yang et al. used technologies such as real earthquake simulation and rapid terrain rendering to truly represent earthquakes and scenes, and developed an earthquake drill simulation system that combined computer simulation technology with professional earthquake rescue drills; Zhang Qingsong et al. developed an airport emergency rescue GIS spatial database , completed the digital management of the emergency resource database, and established an emergency resource allocation model to determine the best plan; Xu Hui et al. discussed the architecture, design principles and functional modules of the emergency rescue command system based on the characteristics and requirements of the emergency rescue work of the enterprise and analysis, and realized the automatic monitoring and management of emergency materials, emergency basic information, emergency communications and emergency decision-making assistance, but there are shortcomings in single function, three-dimensional coordination and actual combat effectiveness

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