Design of a Wireless Cyber–Physical System for Gas Leak Detection With LoRa

IF 8.9 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Chad W. O'Brien;Hassan Salamy;Cheol-Hong Min
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Abstract

Gas detection and environmental monitoring have become essential tasks to ensure the safety of people in many industries, such as mining, wastewater treatment plants, semiconductor manufacturing, and chemical manufacturers. To limit risk and keep people safe, it is necessary to monitor the environment where these gases could possibly be present and signal an alarm when a toxic or explosive condition may occur. This article describes the implementation of a low power wide area network (LPWAN) and the use of LoRa technology to design a cloud-based environmental and gas detection system. In the article, ESP32 microcontroller with integrated LoRa modules connected via SPI communication are used to wirelessly send various sensor readings back to the main controller, where dangerous situations will be announced. The various sensor readings include gas value, temperature, humidity, and some important diagnostic information from the end device to signal improper working conditions. Some of the sensors used in this project include electrochemical (gas) and capacitive (temperature and humidity) sensing elements. Since safety is the most important factor in these situations, if an unsafe condition is found, the device will set off an alarm immediately to communicate a problem for a safe evacuation protocol. Using LoRa technology, the data can be sent over large distances of over 1 kilometer to cover entire buildings with only one gateway/main controller, and low power consumption will require minimal maintenance and updates. The novel solution presented also offers real-time monitoring and predictive capabilities through cloud-enabled features and machine learning for a wider impact. Extensive testing and analysis of latency, power consumption, communication range, and reliability are presented along with practical guidelines.
基于LoRa的无线网络物理气体泄漏检测系统设计
气体检测和环境监测已经成为许多行业中确保人员安全的重要任务,例如采矿,废水处理厂,半导体制造和化学制造。为了限制风险和保证人们的安全,有必要监测这些气体可能存在的环境,并在可能发生有毒或爆炸情况时发出警报。本文介绍了低功耗广域网(LPWAN)的实现以及使用LoRa技术设计基于云的环境和气体检测系统。在本文中,采用集成LoRa模块的ESP32微控制器,通过SPI通信连接,将各种传感器读数无线发送回主控制器,主控制器将宣布危险情况。各种传感器读数包括气体值、温度、湿度和一些来自终端设备的重要诊断信息,以表明不适当的工作条件。在这个项目中使用的一些传感器包括电化学(气体)和电容(温度和湿度)传感元件。由于在这些情况下,安全是最重要的因素,如果发现不安全的情况,设备将立即发出警报,以传达安全疏散协议的问题。使用LoRa技术,只需一个网关/主控制器,数据就可以发送超过1公里的长距离,覆盖整个建筑物,并且低功耗将需要最少的维护和更新。该新型解决方案还通过云功能和机器学习提供实时监控和预测功能,从而产生更广泛的影响。广泛的测试和分析延迟、功耗、通信范围和可靠性以及实用指南。
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来源期刊
IEEE Internet of Things Journal
IEEE Internet of Things Journal Computer Science-Information Systems
CiteScore
17.60
自引率
13.20%
发文量
1982
期刊介绍: The EEE Internet of Things (IoT) Journal publishes articles and review articles covering various aspects of IoT, including IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Topics encompass IoT's impacts on sensor technologies, big data management, and future internet design for applications like smart cities and smart homes. Fields of interest include IoT architecture such as things-centric, data-centric, service-oriented IoT architecture; IoT enabling technologies and systematic integration such as sensor technologies, big sensor data management, and future Internet design for IoT; IoT services, applications, and test-beds such as IoT service middleware, IoT application programming interface (API), IoT application design, and IoT trials/experiments; IoT standardization activities and technology development in different standard development organizations (SDO) such as IEEE, IETF, ITU, 3GPP, ETSI, etc.
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