A Geospatial Information Grid Framework for Geological Survey.

Area of Science:

• Geoinformatics
• Cloud Computing
• Geological Data Management

Background:

• Digital information is crucial in geology, but integrating diverse, distributed geological data remains a challenge.
• Traditional geographic information systems (GIS) struggle with real-time sharing of complex, cross-domain geological spatial data.
• The need for an open, elastic platform for geological information integration and sharing is evident.

Purpose of the Study:

• To develop a geological cloud-computing platform for integrating and sharing geological information.
• To address the limitations of existing systems in handling distributed, heterogeneous geological data.
• To facilitate real-time data and service sharing in geological surveys.

Main Methods:

• Designed a cloud architecture for geological information integration.
• Defined geological ontology semantics and a standard information framework.
• Developed a peer-to-peer node management mechanism for resource discovery and integration.
• Implemented distributed spatial meta, catalog, multi-mode data, and interoperation services.

Main Results:

• Successfully implemented a geological survey information cloud-computing platform.
• Developed various geological data and processing services on the platform.
• Demonstrated the platform's utility with an iron mine resource forecast and evaluation service.

Conclusions:

• The developed geological cloud-computing platform effectively integrates and shares distributed geological information.
• The platform enhances geological survey capabilities through real-time data access and advanced services.
• This approach provides a scalable and flexible solution for modern geological data management.