Mining electric locomotive passerby monitoring method based on image processing and alarm system

Abstract

The invention provides a mining electric locomotive passerby monitoring method based on image processing and an alarm system and belongs to the field of safe transportation of coal mines. The system comprises a video collection module, an image processing module and an acousto-optic alarm module, wherein an infrared video camera for video collection is used for collecting images at the front of an electric locomotive; the image processing module comprises image preprocessing, rail identifying and fitting and passerby identifying; the image preprocessing is based on a genetic algorithm, image self-adapting correction combined with a normalization non-complete Beta function and an image binarization method based on a pulse coupling neural network; the rail identifying and fitting is based on fuzzy edge detection fast algorithm with an improved threshold of a genetic algorithm and a heuristic connection method; the passerby identifying is based on a pulse coupling neural network image binarization method realized by virtue of an FPGA (Field Programmable Gate Array); and the acousto-optic alarm module comprises an acousto-optic alarm and a control circuit. The system can be used for effectively identifying passersby at the neighborhood of a rail, judging and pre-alarming the position of the passersby and eliminating the potential safety hazard of the electric locomotive in a transportation process.

Description

technical field [0001] The invention belongs to the field of coal mine safety transportation, and relates to an image processing-based pedestrian monitoring method and an alarm system for mine electric locomotives. Background technique [0002] Mining electric locomotives are mainly used for long-distance transportation in underground transportation lanes and on the ground to complete the transportation of coal, gangue, materials, equipment and personnel. Due to the complex underground environment of coal mines, electric locomotives run frequently and run for a long distance; the roadway is narrow, which is used as both a pedestrian roadway and a transportation roadway, so pedestrians do not obey the traffic rules or locomotive drivers fatigue, negligence, misjudgment, paralysis and other situations often occur . And locomotive driver is the key of electric locomotive safe driving, therefore often occurs because above-mentioned situation causes personal injury accident. In...

AI Technical Summary

Problems solved by technology

For example, when the ultrasonic monitoring equipment is used in a long-distance roadway, its reflected wave will be too weak, which will reduce the sensitivity and the accuracy is very low. The optimal distance is 4-5 meters. Considering the braking distance of the electric locomotive, it is necessary to accurately identify and alarm pedestrians on the track 30 meters away

If infrared monitoring is used, although the measurement distance is improved compared with ultrasonic waves, its positioning accuracy is poor, and it is impossible to correctly judge whether the pedestrians in front are on the track or walking on the sidewalks on both sides of the track.

The measurement accuracy of laser monitoring equipment is very high, but as a precision instrument, it has high requirements for the use environment, and it is difficult to ensure its normal operation when installed on a high-speed and vibrating car body

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