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Biological hazard monitoring, predicting and optimal controlling system for emergency

A technology for optimizing control and monitoring systems, applied in prediction, data processing applications, instruments, etc., can solve problems such as high detection limit, poor adaptability, difficult real-time monitoring, etc., and achieve the effect of solving technical problems, improving sensitivity, and breaking through technical bottlenecks

Inactive Publication Date: 2013-04-24
中国人民解放军防化指挥工程学院
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AI Technical Summary

Problems solved by technology

2. Due to poor environmental adaptability, high detection limit and strong specificity of conventional biosensors, real-time monitoring is difficult. The development of real-time high-sensitivity biosensors is also a technical problem in the field of biohazard emergency response

Method used

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  • Biological hazard monitoring, predicting and optimal controlling system for emergency
  • Biological hazard monitoring, predicting and optimal controlling system for emergency

Examples

Experimental program
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Embodiment Construction

[0020] The present invention is described below in conjunction with embodiment and accompanying drawing.

[0021] Taking infectious diseases as an example, BEMS and BPOSE conduct information coupling and association through the Internet of Things system,

[0022] The Biohazard Emergency Monitoring System (BEMS) provides basic data for hazard prediction and control; specifically:

[0023] 1. Using biosensors: use cellular immunology methods to screen monoclonal antibodies, and obtain specific molecular probes after separation and purification, as biosensors, to detect basic data of places where biohazards occur; using this biosensor to detect media, The conventional colony count (CFU)10 4 ~10 5 / mL increased to 10 2 ~10 3 per mL, effectively improving the detection limit and sensitivity.

[0024] 2. Manual acquisition through biohazard investigation: comprehensively studied the two methods of passive monitoring and active monitoring, based on the national CDC and the whole...

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Abstract

The invention, which belongs to the biological hazard prevention and control field, relates to a biological hazard monitoring, predicting and optimal controlling system for emergency (BMPOSE). The system is the Internet of things and connects two subsystems which comprise: a biohazard emergency monitoring system (BEMS) and a biological hazard predicting and optimal controlling system for emergency (BPOSE). The BEMS and the BPOSE carry out coupling and relevance of information through the Internet of things and complete the control of the biological hazard through data processing in the Internet of things. The system combines information acquisition, transmission, analysis, prediction and issuing. By using the system, technical difficulties of seamless coupling, such as emergency monitoring, predicting, decision support and the like, can be solved.

Description

technical field [0001] The invention relates to a biohazard emergency monitoring prediction and control system, which belongs to the field of biohazard prevention and control. Background technique [0002] Biological hazards directly threaten human life and health. In today's rapidly globalized world, biological hazards, mainly infectious diseases, are spreading at an alarming rate. The outbreak of infectious diseases in any corner of the world may trigger global vigilance. At present, biological hazards are still an important cause of human death worldwide, and human beings are facing new situations in the fight against biological hazards: the emergence of new infectious diseases, the resurgence of old infectious diseases, and pathogens resistant to antibiotics The increase of sex has constituted a huge threat to human health. At the same time, with the development of international politics and economy, major public health events have had a certain impact on human life. I...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/26
Inventor 黄顺祥徐莉刘峰王新明关彩虹周学志符天保孙诗德
Owner 中国人民解放军防化指挥工程学院
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