Underground flood alarming method based on image and flood monitoring

Abstract

The invention discloses an underground flood alarming method based on image and flood monitoring. The method comprises: placing cameras on driving working faces, coal faces, or other working faces of an underground coal mine to which water inrush accidents may occur, and installing water sensors on walls of roadways the cameras monitor; when the sensors monitor that a set region of a camera video image has abnormal water flow, and water flow duration exceeds set time threshold or flow increasing speed exceeds a set threshold, and a detector of the water sensor is immersed, giving out a flood alarming signal. The alarming method gives full consideration on characteristics of floods in an underground coal mine, and the method is simple to apply. Corresponding measures are automatically taken in time, and the method accurately gives out an alarm on mine water inrush in first time, and buys valuable disaster relief and escape time for underground personnel who are not on the site of the water inrush and in other regions.

Description

technical field [0001] The invention relates to an underground flood alarm method based on image and water inflow monitoring, and the method relates to the fields of image pattern recognition, sensor, 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,...

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

[0008] 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 actively call the police, 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, it is easy to cause water damage out of control and casualties

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