Wu Liang, Xue Lei, Li Chaoling, Lv Xia, Chen Zhanlong, Guo Mingqiang, Xie Zhong
School of Information Engineering, China University of Geosciences, Wuhan, China.
National Engineering Research Center for GIS, Wuhan, China.
PLoS One. 2015 Dec 28;10(12):e0145312. doi: 10.1371/journal.pone.0145312. eCollection 2015.
The use of digital information in geological fields is becoming very important. Thus, informatization in geological surveys should not stagnate as a result of the level of data accumulation. The integration and sharing of distributed, multi-source, heterogeneous geological information is an open problem in geological domains. Applications and services use geological spatial data with many features, including being cross-region and cross-domain and requiring real-time updating. As a result of these features, desktop and web-based geographic information systems (GISs) experience difficulties in meeting the demand for geological spatial information. To facilitate the real-time sharing of data and services in distributed environments, a GIS platform that is open, integrative, reconfigurable, reusable and elastic would represent an indispensable tool. The purpose of this paper is to develop a geological cloud-computing platform for integrating and sharing geological information based on a cloud architecture. Thus, the geological cloud-computing platform defines geological ontology semantics; designs a standard geological information framework and a standard resource integration model; builds a peer-to-peer node management mechanism; achieves the description, organization, discovery, computing and integration of the distributed resources; and provides the distributed spatial meta service, the spatial information catalog service, the multi-mode geological data service and the spatial data interoperation service. The geological survey information cloud-computing platform has been implemented, and based on the platform, some geological data services and geological processing services were developed. Furthermore, an iron mine resource forecast and an evaluation service is introduced in this paper.
数字信息在地质领域的应用正变得非常重要。因此，地质调查中的信息化不应因数据积累水平而停滞不前。分布式、多源、异构地质信息的集成与共享是地质领域的一个开放性问题。应用程序和服务使用具有多种特征的地质空间数据，包括跨区域、跨领域以及需要实时更新。由于这些特征，基于桌面和网络的地理信息系统（GIS）在满足地质空间信息需求方面面临困难。为了促进分布式环境中数据和服务的实时共享，一个开放、集成、可重新配置、可重用且具有弹性的GIS平台将是不可或缺的工具。本文的目的是基于云架构开发一个用于集成和共享地质信息的地质云计算平台。因此，地质云计算平台定义地质本体语义；设计标准地质信息框架和标准资源集成模型；构建对等节点管理机制；实现分布式资源的描述、组织、发现、计算和集成；并提供分布式空间元服务、空间信息目录服务、多模式地质数据服务和空间数据互操作服务。地质调查信息云计算平台已实现，并基于该平台开发了一些地质数据服务和地质处理服务。此外，本文还介绍了一个铁矿资源预测与评估服务。
