APPLYING INTERNET OF THINGS (IOT) IN ANALYZING FRONT –END PERCEPTION TO BUILD AN AIR AUTOMATIC OBSERVANT FORECASTING SYSTEM INLINE WITH NEURAL NETWORK TECHNOLOGY AND TARGETED EMERGENCY DISPOSAL MEASURES FOR CONTROLLING AIR POLLUTION
Vol. 4, Jan-Dec 2018 | Page: 1-6
Abstract
Using discovered study, typical air automatic observant system has high preciseness, however giant bulk, high cost, and single information category build it not possible for large-scale installation supported introducing internet of Things(IOT) into the sector of environmental protection, this paper puts forward a sort of time period pollution watching and foretelling system. By mistreatment IOT, this method will cut back the hardware price into 1/10 as before. The system is ordered go in an oversized range in watching space to create watching device network. Besides the functions of typical air automatic watching system, it additionally exhibits the operate of foretelling development trend of pollution among a precise time vary by analyzing the information obtained by front-end perception system in line with neural network technology. Targeted emergency disposal measures are taken to attenuate losses in utilization
Jaskaran Singh Kohli
Bachelor’s in Technology , CSE ( SRM Institute of Science and Technology ,Kattankulathur, Tamil Nadu ,India)
Received: 15-11-2017, Accepted: 24-12-2017, Published Online: 04-01-2018