A standardized classification detection device for exploration holes and a method thereof
By designing a standardized classification and detection device for exploration boreholes and an artificial neural network model, the problem of sand and gravel obstruction during the lowering of the exploration borehole imager was solved, achieving high-precision imaging and data standardization of the inner wall of the exploration borehole, and supporting the accuracy of three-dimensional geological modeling.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ZHEJIANG ENG SURVEY & DESIGN INST GRP CO LTD
- Filing Date
- 2026-06-03
- Publication Date
- 2026-07-17
AI Technical Summary
In existing borehole detection, the lowering of borehole imaging instruments can easily cause loose soil to fall off the borehole wall, and sand and dust can obstruct the lens's field of view, affecting the accuracy of imaging and recognition. Furthermore, the lack of standardization in borehole data leads to chaotic stratigraphic division.
A standardized classification and detection device for boreholes was designed, comprising a support, a detector, a fisheye lens, a limiting mechanism, an auxiliary mechanism, and a reset mechanism. By setting a blocking plate and a rotating component, fine sand and gravel are prevented from obstructing the lens, and an artificial neural network model is used to standardize and classify borehole data.
It effectively reduces the impact of fine sand and gravel on the fisheye lens, improves the imaging accuracy of the borehole inner wall and the efficiency of data standardization processing, ensures the smooth lowering of the borehole imaging instrument, and supports the accuracy of 3D geological modeling.
Smart Images

Figure CN122407162A_ABST