Instrument reading method and device of underground inspection robot and electronic equipment
A technology for patrolling robots and instruments, applied to neural learning methods, instruments, computer components, etc., can solve problems such as failure to detect safety hazards in time, poor lighting, and excessive labor intensity
Pending Publication Date: 2021-09-07
CCTEG CHINA COAL RES INST
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Problems solved by technology
In related technologies, manual inspection is generally used for underground safety monitoring. Due to the harsh working environment and poor lighting, manual inspection may not be able to detect potential safety hazards in time due to excessive labor intensity.
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[0032] The embodiments of the present application are described in detail below, and examples of the embodiments are illustrated in the drawings, wherein the same or similar reference numerals are indicated by the same or similar elements or elements having the same or similar functions. The following is exemplary, and is intended to be used to explain the present application without understanding the limitation of the present application.
[0033] The method described meter reading downhole inspection robot according to the present embodiment of the application apparatus and an electronic apparatus in conjunction with the accompanying drawings below.
[0034] For ease of understanding, first introduced in the inspection robot of the present application.
[0035] figure 1 This application is a downhole inspection robot according to an embodiment of the structure of FIG., Such as figure 1 Shown, the downhole inspection robot 10 comprising: a man-machine interface 11, a processor 1...
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The invention provides an instrument reading method and device of an underground inspection robot and electronic equipment. The method comprises the following steps: performing routing inspection to a target routing inspection position based on a routing inspection instruction, collecting an original underground image, and performing image enhancement to generate a to-be-processed underground image; extracting a contour image and contour points of the to-be-processed underground image, and further obtaining key features of the to-be-processed underground image; on the basis of key feature recognition, comparing feature with an instrument feature database, and if the to-be-processed underground image is an instrument image, recognizing the type of the instrument image; and calling an instrument reading strategy matching the type of the instrument image based on the type of the instrument image, and performing data reading on the instrument image based on the instrument reading strategy to obtain instrument data in the instrument image. When the inspection robot executes the underground inspection task, various instrument images can be recognized, instrument data reading can be completed, the method has universality and high robustness, reading is more accurate, and the inspection efficiency is improved.
Description
Technical field [0001] The present application relates to artificial intelligence and robotics, and particularly relates to a downhole inspection robot meter reading method, apparatus, and an electronic device. Background technique [0002] Coal mine development environment higher risk, in order to protect the safety of personnel and work underground, underground monitoring is particularly important. Related technologies, for monitoring mine safety inspection generally use artificial methods, due to the harsh underground work environment, poor lighting, manual inspection may not be able to detect potential safety problems due to the labor intensity is too large. Inventive content [0003] The present application is intended to solve one of the technical problems in the relevant technologies at least to some extent. To this end, an object of the present application is to provide a downhole inspection robot meter reading method. [0004] A second object of the present application ...
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Login to View More IPC IPC(8): G06K9/46G06K9/34G06K9/62G06N3/08
CPCG06N3/08G06F18/214
Inventor 苗可彬刘梅华张德胜黄增波李泽芳魏峰朱文硕丰颖许伟健张立群彭然马建史慧文
Owner CCTEG CHINA COAL RES INST