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Real-time GIS data model and sensor web service platform for environmental data management.

Jianya Gong, Jing Geng, Zeqiang Chen1

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This study introduces an effective method for real-time environmental data management using a Geographic Information System (GIS) data model and Sensor Web services within a Geospatial Service Web framework. This approach enhances data retrieval and interoperability for improved environmental monitoring and human health insights.

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Area of Science:

  • Environmental Science
  • Geospatial Information Science
  • Data Management

Background:

  • Effective environmental data management is crucial for human health.
  • Traditional systems lack real-time data retrieval and interoperability.
  • Geospatial Service Web offers a modern solution for environmental data management.

Purpose of the Study:

  • To determine a method for realizing environmental data management under the Geospatial Service Web framework.
  • To integrate real-time data capabilities into environmental data management systems.

Main Methods:

  • Proposed a real-time Geographic Information System (GIS) data model.
  • Developed a Sensor Web service platform to support the GIS data model.
  • Utilized Sensor Web technologies for real-time data management.

Main Results:

  • Implemented a Sensor Web service platform managing diverse real-time environmental data (meteorological, air quality, soil, landslide).
  • Demonstrated use cases for real-time air quality and soil moisture monitoring.
  • Achieved efficient experimental runtimes of 3.7s and 9.2s.

Conclusions:

  • The integration of a real-time GIS data model and Sensor Web Service Platform is an effective approach.
  • This method successfully manages environmental data within the Geospatial Service Web framework.
  • The proposed system enhances real-time environmental monitoring capabilities.