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用于高危工作场所安全增强的分布式物联网空气质量测量系统。

A Distributed IoT Air Quality Measurement System for High-Risk Workplace Safety Enhancement.

机构信息

Department of Information Engineering and Mathematics, University of Siena, 53100 Siena, Italy.

出版信息

Sensors (Basel). 2023 May 25;23(11):5060. doi: 10.3390/s23115060.

Abstract

The safety of an operator working in a hazardous environment is a recurring topic in the technical literature of recent years, especially for high-risk environments such as oil and gas plants, refineries, gas depots, or chemical industries. One of the highest risk factors is constituted by the presence of gaseous substances such as toxic compounds such as carbon monoxide and nitric oxides, particulate matter or indoors, in closed spaces, low oxygen concentration atmospheres, and high concentrations of CO that can represent a risk for human health. In this context, there exist many monitoring systems for lots of specific applications where gas detection is required. In this paper, the authors present a distributed sensing system based on commercial sensors aimed at monitoring the presence of toxic compounds generated by a melting furnace with the aim of reliably detecting the insurgence of dangerous conditions for workers. The system is composed of two different sensor nodes and a gas analyzer, and it exploits commercial low-cost commercially available sensors.

摘要

操作人员在危险环境中工作的安全性是近年来技术文献中反复出现的主题,特别是对于石油和天然气厂、炼油厂、气库或化工等高危环境而言。最高风险因素之一是存在气体物质,例如一氧化碳和氮氧化物等有毒化合物、颗粒物或室内、封闭空间、低氧浓度大气以及高浓度 CO,这些都可能对人类健康构成威胁。在这种情况下,存在许多用于许多特定应用的监测系统,这些系统需要进行气体检测。在本文中,作者提出了一种基于商业传感器的分布式传感系统,旨在监测熔炉产生的有毒化合物的存在,目的是可靠地检测工人所处危险环境的出现。该系统由两个不同的传感器节点和一个气体分析仪组成,它利用商业上可获得的低成本传感器。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cbf/10255443/5eab789c9aaa/sensors-23-05060-g001.jpg

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