Coal mine main shaft vertical shaft hoisting bucket safety start monitoring device and monitoring method

Abstract

The invention discloses a coal mine main shaft vertical shaft hoisting bucket safety start monitoring device and a monitoring method. The coal mine main shaft vertical shaft hoisting bucket safety start monitoring device mainly comprises an infrared camera group I, an infrared camera group II, a signal processor and an audible and visual alarm; the infrared camera group I is used for shootinga shaft bottom image of the bottom of a bucket; the infrared camera group II is used for shooting images of loading equipment and the top of the bucket; the signal processor is in communication connection with the infrared camera group I, the infrared camera group II and the audible and visual alarm; and the signal processor acquires the images of the shaft bottom, the loading equipment and the bucket through the infrared camera group I and the infrared camera group II respectively, and processes the images by adopting an edge detection algorithm, distinguishes a hoisting mechanism and people according to regular and irregular profiles presented in edge images, and controls the starting and stopping of the audible and visual alarm. The coal mine main shaft vertical shaft hoisting bucket safety start monitoring device is ingenious in principle, reliable in performance, simple in structure, safe in operation and low in cost, can effectively monitor the personnel situations around the bucket when the bucket is started, and improves the hoisting safety of a main shaft.

Description

technical field [0001] The invention relates to a monitoring device and a monitoring method suitable for safe start-up of hoisting skips in main shafts of coal mines. Background technique [0002] Coal plays an important role in my country's economic development, and shaft hoisting is the dominant form of coal production. The main shaft is a key channel for coal mines to lift coal, and its safety performance is directly related to the safe production of coal mines. Due to the heavy production tasks of the main well, and the continuous accumulation of coal slime and cinders on the loading equipment and skips during the work process, the working efficiency of the loading equipment and skips is reduced, and the skips and loading equipment are prone to failure. Maintenance workers are required to frequently clean and overhaul the loading equipment and skips. On the other hand, in the process of lifting and loading coal in the vertical shaft, coal lumps and coal slime will inev...

AI Technical Summary

Problems solved by technology

[0004] There are mainly the following problems in the monitoring of the safety start-up of the hoisting skip in the shaft of the main shaft of the coal mine: First, in mines with very limited lighting conditions, narrow shafts, many components, and complex structures, it is difficult for signal workers to judge the skip by visual inspection or conventional cameras. Whether there are maintenance workers around, and the work efficiency is low; second, when using image deep learning and classifiers for infrared recognition, the data set for personnel images in the narrow and complex space of the wellbore is too small, the recognition efficiency and reliability are low, and it is easy to appear. Misjudgment; Third, personnel positioning monitoring through the tag sensor network requires the installation of network transmission devices and tags on skips and miners, which brings large installation costs and operational burdens, and is not practical

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