Petrochemical accidents, e.g., toxic gas leaking and explosion, result in serious damage, so the detection and visualization of the dangerous area of leaking toxic gases is an important research issue for large-scale petrochemical plants. There have been many efforts made to address this issue by using a large number of special monitoring devices. These special devices provide the gas concentration reports within their individual ranges. However, because of the continuity of gas diffusion and the invisibility of toxic gases, it is difficult to detect and visualize the continuous dangerous area of gas diffusion by only using the scattered concentration reports. This paper proposes a scheme to detect and visualize the dangerous area using Wireless Sensor Networks (WSNs). In this proposed scheme, a planarization algorithm is used to planarize a WSN, and based on the planarized network, the boundary area of gas diffusion is calculated to delimitate the dangerous area. This study also verifies the robustness of the proposed scheme in regards to the node failure. The node failure has a special kind of influence on the accuracy of dangerous area detection. This paper also analyzes the impact of 5 planarization algorithms on the accuracy of dangerous area detection.

中文翻译：

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使用无线传感器网络检测有毒气体的危险区域

石化事故，如有毒气体泄漏、爆炸等，会造成严重的破坏，因此对有毒气体泄漏危险区域的检测和可视化是大型石油化工厂的一个重要研究课题。通过使用大量的特殊监控设备，已经做出了许多努力来解决这个问题。这些特殊设备提供各自范围内的气体浓度报告。但是，由于气体扩散的连续性和有毒气体的不可见性，仅利用分散的浓度报告难以对气体扩散的连续危险区域进行检测和可视化。本文提出了一种使用无线传感器网络 (WSN) 检测和可视化危险区域的方案。在这个提议的方案中，平面化算法用于平面化 WSN，并基于平面化网络，计算气体扩散的边界面积，划定危险区域。本研究还验证了所提出方案在节点故障方面的稳健性。节点故障对危险区域检测的准确性有一种特殊的影响。本文还分析了5种平面化算法对危险区域检测精度的影响。