Data model for geological spatiotemporal big data expression and storage management

Liu Gang; Wu Chonglong; He Zhenwen; Weng Zhengping; Que Xiang; Tian Shanjun; Li Yang

doi:10.19509/j.cnki.dzkq.2020.0118

Volume 39 Issue 1

Jan. 2020

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Article Navigation > Bulletin of Geological Science and Technology > 2020 > 39(1): 164-174

Liu Gang, Wu Chonglong, He Zhenwen, Weng Zhengping, Que Xiang, Tian Shanjun, Li Yang. Data model for geological spatiotemporal big data expression and storage management[J]. Bulletin of Geological Science and Technology, 2020, 39(1): 164-174. doi: 10.19509/j.cnki.dzkq.2020.0118

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Liu Gang, Wu Chonglong, He Zhenwen, Weng Zhengping, Que Xiang, Tian Shanjun, Li Yang. Data model for geological spatiotemporal big data expression and storage management[J]. Bulletin of Geological Science and Technology, 2020, 39(1): 164-174. doi: 10.19509/j.cnki.dzkq.2020.0118

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Data model for geological spatiotemporal big data expression and storage management

doi: 10.19509/j.cnki.dzkq.2020.0118

Liu Gang^{1a, 1b
,},
Wu Chonglong^{1a, 1b},
He Zhenwen^{1a, 1b},
Weng Zhengping^{1a, 1b},
Que Xiang²,
Tian Shanjun³,
Li Yang^{1a, 1b}

Received Date: 14 Nov 2019

Abstract

Abstract

Geological big data is a typical spatiotemporal big data.Most of present geological information systems only support the storage and expression of the static status of geological exploration or production in a specific period.However, with the development and application of multiple sensors, real-time monitoring and other high-tech in the geological exploration, which results in more and more dynamic and multi-source heterogeneous geological data being produced.In practical application, it is in urgent need to deal with the real-time increasing big data in the geological exploration and production, which can strongly support the analysis and judgement of the geological process.In this paper, we study the traditional data model for geological spatiotemporal expression and storage management with the target of a new hybrid model, which can not only deal with the multi-sources and multi-dimensional data, but also support the time associated and time granularity.According to the characteristics of geological big data and the combinations of static and dynamic geological process data, we took both the object-oriented and event based method and put forward a geological event multi-factors driven model.We also designed the corresponding geological data logic model for distributed storage.Based on the geological data logical model and NoSQL database technology, we designed a non-relational distributed database schema.With the use of 3D geological modeling technology, real-time dynamic monitoring information visualization technology, we build a necessary virtual simulation environment for the hybrid model.By binding the observation data source, which is operation as an events emitter based on the OPC interface, the dynamic mining process is simulating as the geological objects responding to their corresponding events.Under the support of geological modeling data and reports and other data in the first mining area of Wang Jialing coal mine, we tried to implement the model application with multi geological spatiotemporal events.The results show that the data model is feasible, applicable for the expression and data management of mine dynamic mining process.
- data model,
- expression of geological spatiotemporal data,
- storage management of geological big data,
- NoSQL

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References(36)

References

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Data model for geological spatiotemporal big data expression and storage management

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