Automatic Monitoring and Controlling of Weather Condition using Big Data Analytics

Abstract: Objective: To monitor and control the weather condition of the state, by scrutinizing each home's weather condition. Analysis: Data which is collected from the sensor is send to the spark analytical streaming for processing, home which is not under the control of normal temperature is update in graph, which is shown by using Thing span, control abnormal temperature by using HVAC system. Findings: In existing system weather condition is only monitored automatically and controlled manually, more energy consumption, whereas In proposed system ,sensor receives data and stream data process using spark a, historical data process using Apache hadoop. Improvement: Advance big data analytics tool is used for processing data and automatically controls the weather condition by using HVAC system.

Keywords: Apache spark, Apache hadoop, HVAC, Thing Span, Sensor.