Method for obtaining position of mine underground equipment based on character image intelligent identification

A character image and intelligent recognition technology, which is applied in the field of obtaining the location of mine underground equipment and obtaining the location of mine underground equipment based on the intelligent recognition of character images, can solve the problems of affecting the surface characteristics of characters, affecting the imaging effect, and the inability to use character recognition algorithms, etc., to achieve The effect of improving the recognition rate and saving investment

CN111401139APending Publication Date: 2020-07-10YUNNAN KUNGANG ELECTRONICS INFORMATION TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2020-07-10

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Abstract

The invention provides a method for obtaining the position of mine underground equipment based on character image intelligent identification, and the method comprises the steps: installing a pluralityof character boards beside an underground rail at intervals, marking a plurality of characters on each character board, and recording the rail position corresponding to each character number in a database of a production scheduling center; installing image acquisition equipment on the unmanned aerial vehicle under the mine, and acquiring all character images marked on the corresponding characterboards during driving; sending the acquired image to a U-Net network for detection; detecting an image with eight characters in the image; segmenting the image into eight non-overlapping sub-images, wherein each sub-image contains one character; after convolution operation and down-sampling operation, performing classification and identification to obtain corresponding character values and credible values, and transmitting the character value corresponding to the position with the maximum credible value to a production scheduling center in real time through a wireless network, so that the unmanned aerial vehicle can be accurately positioned underground, and industrial and automatic mining and transportation production requirements are met.
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Description

technical field

[0001] The invention relates to a method for obtaining the location of mine underground equipment, in particular to a method for obtaining the location of mine underground equipment based on character image intelligent recognition, and belongs to the technical field of character image recognition. Background technique

[0002] The mining industry is the upstream industry of the metallurgical industry, which provides the main raw materials for metallurgy. The mining industry is also a capital-intensive, resource-intensive, and technology-intensive industry, and it is also a high-energy-consuming industry. With the continuous expansion of the production scale of the enterprise, the production safety in the operation process has been paid more and more attention, and various measures are actively taken to innovate the safety management mode and method of the enterprise, and continuously improve the safety management level of the enterprise. Unmanned underground ...

Examples

Embodiment

[0034] The image acquisition device of this embodiment uses Nvidia TX2 artificial intelligence edge computing device, which has a size of 50 mm x 87 mm, a small size, and a power consumption of only 7.5 watts. The electricity is low, and those not specified in the method are all conventional techniques.

[0035] Specific steps are as follows:

[0036] 1) Install a character plate every 20 meters next to the railroad track in the mine. The size of the character plate is similar to the size of a car license plate. Each license plate is printed with 8 characters, and a character plate must be installed at each fork. And record the position of each numbered rail in the database system, which is installed in the production dispatching center;

[0037] 2) Install the image acquisition equipment on the UAV vehicle under the mine for image acquisition. A total of 6,000 underground character images were collected, of which 5,000 were used to train the network model and 1,000 were used t...