A Risk-Based Sensor Placement Methodology

Lee, Ronald W. ; Kulesz, James J.

Oak Ridge National Laboratory

关键词: Sensor Detector Placement Risk Detection Consequence Assessment Effects Population Exposure Chemical Biological Radiological Dispersion Meteorology Dynamic Programming;    Biological Warfare Agents;    Radioactive Materials;    Environmental Transport Sensor Detector Placement Risk Detection Consequence Assessment Effects Population Exposure Chemical Biological Radiological Dispersion Meteorology Dynamic Programming;    Positioning;   

DOI  :  10.2172/932604
RP-ID  :  ORNL/TM-2006/506
RP-ID  :  DE-AC05-00OR22725
RP-ID  :  932604

美国|英语

来源: UNT Digital Library

【 摘 要 】

A sensor placement methodology is proposed to solve the problem of optimal location of sensors or detectors to protect population against the exposure to and effects of known and/or postulated chemical, biological, and/or radiological threats. Historical meteorological data are used to characterize weather conditions as wind speed and direction pairs with the percentage of occurrence of the pairs over the historical period. The meteorological data drive atmospheric transport and dispersion modeling of the threats, the results of which are used to calculate population at risk against standard exposure levels. Sensor locations are determined via a dynamic programming algorithm where threats captured or detected by sensors placed in prior stages are removed from consideration in subsequent stages. Moreover, the proposed methodology provides a quantification of the marginal utility of each additional sensor or detector. Thus, the criterion for halting the iterative process can be the number of detectors available, a threshold marginal utility value, or the cumulative detection of a minimum factor of the total risk value represented by all threats.