• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

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.

DOI:10.3390/s23115060
PMID:37299787
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10255443/
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/10255443/1b2464399023/sensors-23-05060-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cbf/10255443/5eab789c9aaa/sensors-23-05060-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cbf/10255443/27db16513f16/sensors-23-05060-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cbf/10255443/f06737c8c957/sensors-23-05060-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cbf/10255443/dc187132ce0c/sensors-23-05060-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cbf/10255443/4887b9fac1cd/sensors-23-05060-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cbf/10255443/ff72d59ba9ff/sensors-23-05060-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cbf/10255443/38e72754521f/sensors-23-05060-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cbf/10255443/c5c278f22ecf/sensors-23-05060-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cbf/10255443/a810eb4bfa45/sensors-23-05060-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cbf/10255443/1b2464399023/sensors-23-05060-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cbf/10255443/5eab789c9aaa/sensors-23-05060-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cbf/10255443/27db16513f16/sensors-23-05060-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cbf/10255443/f06737c8c957/sensors-23-05060-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cbf/10255443/dc187132ce0c/sensors-23-05060-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cbf/10255443/4887b9fac1cd/sensors-23-05060-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cbf/10255443/ff72d59ba9ff/sensors-23-05060-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cbf/10255443/38e72754521f/sensors-23-05060-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cbf/10255443/c5c278f22ecf/sensors-23-05060-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cbf/10255443/a810eb4bfa45/sensors-23-05060-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cbf/10255443/1b2464399023/sensors-23-05060-g010.jpg

相似文献

1
A Distributed IoT Air Quality Measurement System for High-Risk Workplace Safety Enhancement.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。
Sensors (Basel). 2023 May 25;23(11):5060. doi: 10.3390/s23115060.
2
Estimation of particulate matter and gaseous concentrations using low-cost sensors from broiler houses.利用来自肉鸡舍的低成本传感器估算颗粒物和气态物浓度。
Environ Monit Assess. 2019 Jun 27;191(7):470. doi: 10.1007/s10661-019-7582-1.
3
Low-Cost, Distributed Environmental Monitors for Factory Worker Health.低成本、分布式的工厂工人健康环境监测器。
Sensors (Basel). 2018 May 3;18(5):1411. doi: 10.3390/s18051411.
4
Microscale air quality impacts of distributed power generation facilities.分布式发电设施对微观空气质量的影响。
J Air Waste Manag Assoc. 2016 Aug;66(8):795-806. doi: 10.1080/10962247.2016.1184194.
5
Annual and diurnal variations of gaseous and particulate pollutants in 31 provincial capital cities based on in situ air quality monitoring data from China National Environmental Monitoring Center.基于中国国家环境监测中心的现场空气质量监测数据,对 31 个省会城市的气态和颗粒物污染物的年际和日变化进行研究。
Environ Int. 2016 Jan;86:92-106. doi: 10.1016/j.envint.2015.11.003. Epub 2015 Nov 9.
6
The impact of the congestion charging scheme on air quality in London. Part 1. Emissions modeling and analysis of air pollution measurements.拥堵收费计划对伦敦空气质量的影响。第1部分。排放建模与空气污染测量分析。
Res Rep Health Eff Inst. 2011 Apr(155):5-71.
7
Embedded systems and the Internet of Things: Can low-cost gas sensors be used in risk assessment of occupational exposure?嵌入式系统与物联网:低成本气体传感器能否用于职业暴露风险评估?
J Occup Environ Hyg. 2020 Oct;17(10):495-503. doi: 10.1080/15459624.2020.1798453. Epub 2020 Aug 10.
8
Development of Air Quality Boxes Based on Low-Cost Sensor Technology for Ambient Air Quality Monitoring.基于低成本传感器技术的空气质量盒的开发用于环境空气质量监测。
Sensors (Basel). 2022 May 18;22(10):3830. doi: 10.3390/s22103830.
9
Evaluating of IAQ-Index and TVOC Parameter-Based Sensors for Hazardous Gases Detection and Alarming Systems.基于 IAQ-Index 和 TVOC 参数的传感器对有害气体检测和报警系统的评估。
Sensors (Basel). 2022 Feb 14;22(4):1473. doi: 10.3390/s22041473.
10
High Performance Colorimetric Carbon Monoxide Sensor for Continuous Personal Exposure Monitoring.高性能比色一氧化碳传感器,用于连续个人暴露监测。
ACS Sens. 2018 Feb 23;3(2):327-333. doi: 10.1021/acssensors.7b00722. Epub 2018 Jan 17.

本文引用的文献

1
Autonomous IoT Monitoring Matching Spectral Artificial Light Manipulation for Horticulture.自主物联网监测匹配光谱人工光操纵园艺。
Sensors (Basel). 2022 May 26;22(11):4046. doi: 10.3390/s22114046.
2
LoRa Sensor Network Development for Air Quality Monitoring or Detecting Gas Leakage Events.用于空气质量监测或检测气体泄漏事件的 LoRa 传感器网络开发。
Sensors (Basel). 2020 Oct 31;20(21):6225. doi: 10.3390/s20216225.
3
Indoor Air Quality Monitoring Systems Based on Internet of Things: A Systematic Review.基于物联网的室内空气质量监测系统:系统评价。
Int J Environ Res Public Health. 2020 Jul 9;17(14):4942. doi: 10.3390/ijerph17144942.
4
Evaluation and environmental correction of ambient CO measurements from a low-cost NDIR sensor.基于低成本非分光红外传感器的环境一氧化碳测量评估与环境校正
Atmos Meas Tech. 2017;10. doi: 10.5194/amt-10-2383-2017.
5
Wireless Sensor Network Combined with Cloud Computing for Air Quality Monitoring.无线传感器网络与云计算相结合的空气质量监测。
Sensors (Basel). 2019 Feb 8;19(3):691. doi: 10.3390/s19030691.
6
Comparison of the characteristics of small commercial NDIR CO2 sensor models and development of a portable CO2 measurement device.比较小型商业 NDIR CO2 传感器型号的特点和开发便携式 CO2 测量设备。
Sensors (Basel). 2012;12(3):3641-55. doi: 10.3390/s120303641. Epub 2012 Mar 16.
7
Wireless sensor networks and chemo-/biosensing.无线传感器网络与化学/生物传感
Chem Rev. 2008 Feb;108(2):652-79. doi: 10.1021/cr0681187. Epub 2008 Jan 24.