物联网
危险废物
排水
环境科学
计算机科学
石油工程
地质学
废物管理
工程类
计算机安全
生态学
生物
作者
P Saraswathi,M Prabha,Vijay Ananth K S,Manikandan Ezhumalai,R Akchaykumar
标识
DOI:10.1109/ic-etite58242.2024.10493301
摘要
On the entire surface of the planet,gas is a rich resource. Because some of the fumes are so hazardous, human life may be at stake. Although it cannot be totally halted, it may be managed and monitored to protect the security of the workers who perform physical labor in the drainage area. Among the most dangerous gases in the environment are hydrogen sulfide and ammonia. Methane, carbon dioxide, sulfur dioxide, and nitrous oxides are also included in sewer gas. The amount of gases is also significantly influenced by temperature and humidity. The main micro-controller, the IoT-based Espressif ESP32 DevKit V1 Board, is connected to several of the sensors that can detect these gases. Data is transmitted to the cloud using the integrated WiFi module. The sensor data quality is crucial for Internet of Things (IoT) applications since low sensor data quality renders them unusable. The IoT-based harmful gas monitoring, control, and prediction system is enhanced by the detection of flaws in sensor data. Any time the threshold level increases, a prompt alert message is sent to the relevant system or department. Water is sprayed in the drainage area, neutralizing the hazardous gases, even if it takes some time to manage the increasing gas, and the drainage valve is closed when an alert message is received. Live data from sensors or datasets should be thoroughly analyzed using the appropriate approaches in order to detect growing gases utilizing statistics and data comparisons analyzed by defining the threshold value.
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