Geological big data acquisition based on speech recognition

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.