Cyber-Air Quality Monitoring System Architecture: A Review
Dr.Lokesh M R, Sharath S, Shreyas Raj N , Subramanya H L, Supreeth K S
Air Quality Index(AQI), Cyber Physical System, Sensors, Fire Detection, Machine Learning Algorithms.
There is always a significant amount of challenges associated with waste and its disposal, which can be essentially mitigated by the use of technology. As the urban population increases, the amount of waste disposal is also increasing at an unprecedented rate. The inappropriate disposal of this waste will lead to many hazards including the risk of fires in the dump yards that leverages poisonous smoke in the atmosphere by adversely affecting the safety of nearby residential areas. Monitoring the occurrence of fire in huge dumping grounds manually is a tough task and thus developing an automatic fire extinguishing system is highly required. The advanced technologies can be leveraged to ensure the protection and safety of people by eliminating such hazardous risks. The air quality index (AQI) is an indicator of daily air quality report that shows how air quality affects a person’s life in a very short time. AQI plays a key role in ensuring the safety of residential areas. The proposed system aims to aid the possible hazardous risks associated with the dump yard and waste management.
Dealing with air pollution is one of the major environmental challenges in a smart city environment. Real-time monitoring of pollution data enables the metropolitans to analyze the current traffic situation of the city and take their decisions accordingly. Deployment of the Cyber Phisical System based sensors has considerably changed the dynamics of predicting air quality.