Alarm method for underground coal mine coal working face flood based on images

Abstract

The invention discloses an alarm method for an underground coal mine coal working face flood based on images. The alarm method includes the steps that a camera is installed in a coal working face region, video image data and the collected working state of a coal cutter are monitored in real time, and when it is monitored that abnormal water flow appears in a set region in video images of the camera, while the coal cutter does not start spray function newly, the situation is judged to be data exception; when it is monitored that the duration time of the water flow exceeds a set time threshold value or water flow increasing speed exceeds a set threshold value, a flood alarm signal is sent out. The alarm method fully considers the characteristic of the coal mine coal working face flood and is easy to implement, corresponding measures are taken automatically in time, an alarm can be given for water inrush of the mine coal working face accurately at first time, and valuable rescue and escape time is bought for underground staff, not at the flood site, in other regions.

Description

technical field [0001] The invention relates to an image-based flood alarm method for a coal mining face in a coal mine, and the method relates to the fields of image pattern recognition, communication and the like. Background technique [0002] Coal is the main energy in my country, accounting for about 70% of the primary energy. The coal industry is a high-risk industry, and accidents such as gas, flood, fire, roof, and coal dust have plagued coal mine safety production. Among the major accidents in coal mines in my country, mine floods are the most harmful natural disasters to mines. Calculated by the number of deaths in coal mine accidents, water accidents accounted for 15.72%, second only to gas and roof accidents, ranking third. After a flood accident, the hazards include: [0003] 1. Wash away the roadway, bury, submerge and block people. [0004] 2. Accompanied by water inrush, there will be a large amount of coal slime and rock silting up the roadway, which will c...

AI Technical Summary

Problems solved by technology

[0003] 1. Washing away the roadway, burying, submerging and blocking personnel

[0004] 2. Accompanied by water inrush, there will be a large amount of coal slime and rock silting up the roadway, which will cause difficulties for personnel to escape

[0005] 3. Damaged equipment

[0006] 4. A large amount of poisonous and harmful gas gushes out, which worsens the living conditions and environment of those who have not escaped in time

At present, flood early warning is mainly based on hydrological detection and prevention, underground water detection, and aura phenomenon observation and monitoring. Hydrological detection and underground water detection can prevent underground flood accidents. Hydrological detection and underground water exploration cannot completely prevent the occurrence of water inrush, let alone give an alarm for sudden underground water inrush; the observation of aura phenomena is mainly based on human experience and judgment, and there are relatively large subjective factors

At present, on-site water inrush accidents mainly rely on the manual alarm of the on-site personnel. However, when the water inrush occurs in an unattended time or area, or the on-site personnel flee in a hurry and fail to call the police actively, the dispatching room cannot obtain timely information about the occurrence of the emergency. If the water information cannot be notified to the relevant underground staff in time, so that emergency measures cannot be taken in time for the water inrush accident, which will easily cause water damage out of control and casualties

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