The Real Time Environmental Time Series Data Analysis Using Influx DB

Abstract

Today monitoring environmental parameters have gained more importance due to the increasing security and regulatory compliance needs. So the measurement and such parameters become critically important. The main aim of this paper is to monitoring the environmental temperature and humidity. There will be some fluctuations in the environment, the analysis and visualization of such changes is difficult. The proposed system is designed using Internet of Things based embedded system(Arduino) and time series database InfluxDB. We are using DHT11 sensor to collect the data from the environment and then stores the collected data in Influxdb. For any mischievous or any anomalous situation, alert is send to the concern people. Dynamic alert is generated with use of kapacitor and also grafana is used for visualizing the results. The collected data is also exported for smart data analysis using deep neural network technique to avoid the manual operations. The experimental results shows that this system can be used effectively in smart city different applications like Smart Street light management and smart electric grids.