2, NO2, CO in Air and temperature, transparency and pH in water around industrial area and send alert message about atmospheric condition to the respective authority in real time. This remote monitoring system is developed using Arduino ATMega328P, NodeMCU and sensors to monitor the environment of industries. The methodology used finds more efficient when compared to the existing technologies. The remote monitoring system uses BLYNK App and GSM module to monitor the environmental conditions without human intervention. The system was successfully able to monitor the some compound elements of Air and Water Quality indoor and outdoor environments of industries. The system finds to be accurate and efficient compared to existing monitoring system without human intervention and also gives an idea to implement the system in other scenario.
">To keep the authoritative officials aware about issue of pollution and pollutant in industrial area system is developed to keep track of these pollutant information which are harmful to living species. The system uses sensors to detect the pollutants which are input to the system using IoT platform when these pollutant in air and water crosses the limit. The change in pollutant level can be remotely monitored by officials to take necessary actions. This paper presents the design of a system that can efficiently measure the level of SO2, NO2, CO in Air and temperature, transparency and pH in water around industrial area and send alert message about atmospheric condition to the respective authority in real time. This remote monitoring system is developed using Arduino ATMega328P, NodeMCU and sensors to monitor the environment of industries. The methodology used finds more efficient when compared to the existing technologies. The remote monitoring system uses BLYNK App and GSM module to monitor the environmental conditions without human intervention. The system was successfully able to monitor the some compound elements of Air and Water Quality indoor and outdoor environments of industries. The system finds to be accurate and efficient compared to existing monitoring system without human intervention and also gives an idea to implement the system in other scenario.