Intelligent recognition system and method of geological information based on image recognition technology

Abstract

The invention provides a geological information intelligent acquisition system and method based on image recognition technology, which includes collecting environmental panoramic images through an image acquisition module; extracting and identifying coordinates and contour information in the panoramic image through a feature point positioning module, and transforming markers The module links the two-dimensional code and the database information, and the texture recognition module recognizes the geological information in the panoramic image. After the information obtained through the above modules is integrated and compared in the database, the construction engineering data is extracted to monitor the use of construction materials. The present invention has the advantages of: obtaining geological data, monitoring engineering construction quality, and evaluating risk levels through the big data of geology and construction conditions extracted from the environment, greatly saving enterprise personnel expenses, and ensuring the authenticity and objectivity of collected data.

Description

technical field [0001] The invention relates to intelligent collection, in particular to an image-based intelligent collection system and method for geological information. Background technique [0002] At present, underground information collection is obtained through technicians going deep into the site. This data collection method is time-consuming and labor-intensive. Sometimes it is difficult to complete data collection under limited conditions, and the collected data may vary from person to person. There is a problem with the accuracy; under the same observation standard, the identification method and system that can objectively extract the massive real data of the target body is the goal pursued by digital geology. [0003] At this stage, the application of face recognition technology has greatly promoted the development of image recognition technology; the promotion and application of image recognition technology to the geological field has laid the foundation for th...

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Problems solved by technology

[0002] At present, underground information collection is obtained through technicians going deep into the site. This data collection method is time-consuming and labor-intensive. Sometimes it is difficult to complete data collection under limited conditions, and the collected data may vary from person to person. There is a problem with the accuracy; the identification method and system that can objectively extract massive real data of the target under the same observation standard is the goal pursued by digital geology

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