Design Of Mine Water Inrush Monitoring System Based On Embedded Vision

Coal is dominant in China’s energy consumption,but at the same time China is also deeply affected by coal mine water hazards.At this stage,accidents due to flooding due to faults in water flushing or artificial misuse have occurred from time to time.The commonly used underground hydrological monitoring system cannot simultaneously obtain accurate underground water level information and water level images,which greatly threatens the safety of the miners.With the increase of awareness of safety production,designing a set of visual hydrological monitoring system that can both real-timely observe the water level image and accurately obtain the amount of water inflow appears to be of utmost importance.In view of the existing problems in China’s mine hydrology monitoring,the system is based on machine vision technology,embedded processor platforms,and OpenCV.this paper designs and implements a mine inrush monitoring system based on embedded vision.The system collects the water level image through the image acquisition module,converts the collected water level image into the water level value after processing on the embedded visual image processing platform,and sends the water quantity under the mine after sending it to the upper computer via Ethernet communication.In order to better realize the scheduling management of resources,the Linux system needs to be transplanted into ARM.Based on this,the OpenCV library is used to process the water level image.This paper first analyzes the existing mine water inflow monitoring program,proposes a scheme based on embedded vision monitoring based on the existing drawbacks of the inflow monitoring program,and designs the overall structure of the monitoring system at the same time.Then the hardware circuit and software part of the monitoring system are introduced.Finally,testing and analysis of the completed monitoring system verify the feasibility of the design.