Design and implementation of the real-time GIS data model and Sensor Web service platform for environmental big data management with the Apache Storm

An abstract real-time GIS data model and Sensor Web service platform was proposed to manage real-time environmental data. With the development of sensor technology, more and more sensor networks are deployed to monitor our environment, and then generate environmental big data. How to improve the real-time GIS data model and Sensor Web service platform for real-time environmental big data manage is a problem. In this paper, the Apache Storm is adopted to deal with the question. A design and implementation of the real-time GIS data model and Sensor Web service platform for environmental big data management with Apache Storm is proposed. The main studied contents include integrating the Apache Strom with the Sensor Web service as the Sensor Observation Service, and processing the environmental big data timely. To test the feasibility of the design and implementation, two use cases of real-time air quality monitoring and real-time soil moisture monitoring based on the real-time GIS data model in the Sensor Web service platform are realized and demonstrated. The experimental results show that the implementation of real-time GIS data model and Sensor Web Service Platform with the Apache Storm is an effective way to manage real-time environmental big data.