Unexpected biological event field hazard evaluation simulation system

Abstract

The invention relates to an unexpected biological event field hazard evaluation simulation system, which comprises an information receiving module, a hazard preliminary evaluation module, a GPS module, an information storage module, a hazard calculation module, and a hazard display module. The information receiving module is used for receiving biological hazard data of a hazard field; the hazard preliminary evaluation module is used for calculating the maximum hazard depth, hazard width and hazard area of pathogenic microorganisms; the GPS module is used for positioning a geographical pathogenic microorganism-polluted area on a national administrative map; the information storage module is used for storing the national grid population data; the hazard calculation module is used for transferring the grid population data inside the geographical pathogenic microorganism-polluted area from the information storage module and calculating the number of infected people and ill and dead people after infection; and the hazard display module displays the geographical pathogenic microorganism-polluted positioned by the GPS module and the number of infected people and ill and dead people after infection calculated by the hazard calculation module on the national administrative map. The unexpected biological event field hazard evaluation simulation system can be widely applied to emergency treatment of a biological hazard attack event.

Description

Technical field

[0001] The invention relates to an assessment simulation system, in particular to an on-site hazard assessment simulation system for a biological emergency. Background technique

[0002] Since the anthrax email terrorist incident after September 11, terrorist attacks have gradually become well-known, and the United States has also stepped up the development and development of early biosafety judgment and emergency response systems. At present, there are at least five biosafety systems in the United States under government funding for research, one is the Lightweight Epidemiology Advanced Detection and Emergency Response System (LEADERS). The other is the Real Time Population Health Detector (RPHD) developed with artificial intelligence technology. This system can integrate the relevant data of different patients in a certain period of time. When abnormal changes occur, it will be related to the general population. Health standards are compared and analyzed, so as...

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