A Simulation Tool for Examining the Effect of Communications on Disaster Response in the Oil and Gas Industry
该文提出一个仿真框架，通过封闭式统计通信网络模型和人类交互元层，分析通信可用性、质量和用户参与对灾难响应延迟的影响，并在油气行业案例中测试。
Reliable communication networks are essential for robust and effective disaster responses. They facilitate information sharing that is required for efficient coordination of critical infrastructures. Poor quality or nonexistent communications can have crippling effects on disaster response, adding unwanted delays to response time and in the worst case totally isolating vulnerable individuals from critical care. User engagement with communication infrastructure can also have considerable effects on delay times in responses. This paper presents a framework for examining the way in which communication system availability, quality, and user engagement affect delays in disaster response. Closed-form statistical communication network models are derived and nested within a procedural metalayer which incorporates human interaction to determine communication delays in a response. The simulation tool was developed in MATLAB/Simulink and tested on a hypothetical case involving an oil and gas industry. The tool can be used in analyzing existing procedures governing the use of communication technologies during an emergency. It can also be used in evaluating the benefits of implementing new systems and redundancies.