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Geological big data acquisition based on speech recognition

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Abstract

Geo-Spatial Data, or geospatial data, refer to quantitative measurement data, qualitative descriptions, and graphical image data related to spatial location information that express profound geological connotations. Digital and intelligent collection of field geology data is a basic step in the construction of mineral resources exploration data and plays an important role in the actual process of mineral resources exploration. Conventionally, geological data collection in mineral resource exploration adopts the means of using a traditional field book, which is inefficient and also not conducive to the digitization of data. To address this issue, our paper presents a method and system for field geological data collection based on a speech recognition technique. In the system, the mobile device firstly receives the voice and then recognizes the received voice through the voice recognition technology to obtain the corresponding text information. If a control instruction is received, then the corresponding instruction is generated; otherwise, the data acquisition and storage device performs corresponding actions or stores text information according to the control instruction. The system designed in this paper helps users to use voice to accomplish the data collection. It will automatically convert the input voice into text data and store it in the database. The system is simple and convenient to operate and can overcome the problem of inconvenient operation of the data acquisition device in the field, thereby improving the efficiency of geological data collection in the geological exploration.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (No.U1711267). Guizhou science and technology project “Development and application of big data management and intelligent processing system for manganese exploration and development (No. [2017]2951)”. China national uranium Co. Ltd. project “Digital uranium exploration system”. Geological research project of Guizhou Bureau of Geology and mineral resources exploration and development “Application of 3D geological modeling and data mining to the ultra-large type manganese deposits in northeastern Guizhou”, Research and Development of Three-Dimensional Prediction System for Gold Deposits in Southwest Guizhou Based on Large Geological Data(No. [2018]07), Scientific and Technological Innovation Talents Team of Prediction and Evaluation of Manganese Mine Resources in Guizhou Province(No. [2018]5618).

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Authors and Affiliations

  1. School of Computer Science, China University of Geosciences, Wuhan, 430074, China

    Xialin Zhang, Yatao Zhao, Jun Xie, Chen Li & Zhengbin Hu

  2. Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, 430074, China

    Xialin Zhang

  3. Innovation Center of Mineral Resources Exploration Engineering Technology in Bedrock Area, Ministry of Natural Resources of China, Guiyang, 550081, China

    Xialin Zhang

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  1. Xialin Zhang
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  2. Yatao Zhao
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  4. Chen Li
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  5. Zhengbin Hu
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Correspondence to Xialin Zhang.

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Zhang, X., Zhao, Y., Xie, J. et al. Geological big data acquisition based on speech recognition. Multimed Tools Appl 79, 24413–24428 (2020). https://doi.org/10.1007/s11042-020-09064-5

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  • DOI: https://doi.org/10.1007/s11042-020-09064-5

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