Mohammed Faeik Ruzaij AI-Okby, S. Neubert, T. Roddelkopf, K. Thurow
{"title":"Integration and Testing of Novel MOX Gas Sensors for IoT-based Indoor Air Quality Monitoring","authors":"Mohammed Faeik Ruzaij AI-Okby, S. Neubert, T. Roddelkopf, K. Thurow","doi":"10.1109/CINTI53070.2021.9668462","DOIUrl":null,"url":null,"abstract":"The occurrence of hazardous gases and toxic or harmful vapors in laboratories, factories, and chemical warehouses requires a fast detection of leakage accidents to avoid health impairments. In this paper, the integration and validation of two novel metal oxide gas sensors (MOX) for the application in an IoT-based air quality monitoring and the alarming system is proposed. The sensors are combined with WeMos D1 Mini IoT-based microcontroller for data processing and transmitting via Wi-Fi communication protocol. The system design takes into consideration the low-cost, light-weight, small-size, and low power consumption concepts to enable a portable compact system that can be operated stand-alone or easily be adapted to any stationary or mobile robotic platform. The system was tested with several volatile organic materials (VOCs). The acquired air quality data are transferred to an IoT cloud, where the data are stored in a database for further analysis and research. Further, the data can be directly monitored on a PC, tablet, and smartphone. The system testing results confirm that the system can be used efficiently in laboratory environments.","PeriodicalId":340545,"journal":{"name":"2021 IEEE 21st International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 21st International Symposium on Computational Intelligence and Informatics (CINTI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CINTI53070.2021.9668462","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
The occurrence of hazardous gases and toxic or harmful vapors in laboratories, factories, and chemical warehouses requires a fast detection of leakage accidents to avoid health impairments. In this paper, the integration and validation of two novel metal oxide gas sensors (MOX) for the application in an IoT-based air quality monitoring and the alarming system is proposed. The sensors are combined with WeMos D1 Mini IoT-based microcontroller for data processing and transmitting via Wi-Fi communication protocol. The system design takes into consideration the low-cost, light-weight, small-size, and low power consumption concepts to enable a portable compact system that can be operated stand-alone or easily be adapted to any stationary or mobile robotic platform. The system was tested with several volatile organic materials (VOCs). The acquired air quality data are transferred to an IoT cloud, where the data are stored in a database for further analysis and research. Further, the data can be directly monitored on a PC, tablet, and smartphone. The system testing results confirm that the system can be used efficiently in laboratory environments.
在实验室、工厂和化学品仓库中发生危险气体和有毒或有害蒸气,需要快速检测泄漏事故,以避免对健康造成损害。本文提出了两种新型金属氧化物气体传感器(MOX)的集成和验证,用于基于物联网的空气质量监测和报警系统。传感器与WeMos D1 Mini iot微控制器相结合,通过Wi-Fi通信协议进行数据处理和传输。该系统设计考虑了低成本、轻重量、小尺寸和低功耗的概念,使便携式紧凑系统可以独立操作,也可以轻松适应任何固定或移动机器人平台。对该系统进行了几种挥发性有机物质(VOCs)的测试。获取的空气质量数据被传输到物联网云,数据存储在数据库中,供进一步分析和研究。此外,数据可以直接在PC、平板电脑和智能手机上进行监控。系统测试结果表明,该系统可以在实验室环境中高效使用。