A coal shearer automatic cutting system and method based on infrared thermal imaging

Abstract

The invention relates to an infrared thermal imaging-based coal cutter automatic cutting system and a method thereof. A flame-proof infrared camera device (3) processes an acquired infrared radiation signal in coal cutter cutting condition environment to form an infrared temperature field signal when a coal cutter (4) automatically cuts, the infrared temperature field signal is sent to a coal cutter borne controller (2), the working state of the coal cutter is determined according to a temperature range, and bases are provided for traction speed adjustment and roller height adjustment when the coal cutter automatically cuts; the method can be used in practical production; and an infrared thermogram is sent to a road monitoring host (8), and a personnel in the road monitoring host can obtain the visual temperature information of the coal cutter cutting condition infrared thermogram, and regulates the coal cutter when the coal cutter is in an emergency. The efficient automatic working of the coal cutter is realized, and the real cutting state of the coal cutter can be effectively identified in dust and water mist initiated in the cutting process of the coal cutter, and other bad environment, thereby the automatic working of the coal cutter is facilitated.

Description

technical field [0001] The invention relates to an automatic shearer cutting system and method, in particular to an automatic shearer cutting system and method based on infrared thermal imaging, which belongs to the technical field of shearer cutting control and is suitable for cutting with memory Functional shearer. Background technique [0002] The coal-rock interface recognition of the shearer is the key to the automatic control of the shearer. Since it is quite difficult to directly identify the coal-rock interface, it cannot meet the requirements of the coal mining work site. At this stage, indirect methods are often used to identify the coal-rock interface. At present, the indirect methods for identifying the coal-rock interface mainly include memory cutting There are two types of cutting signal analysis methods. [0003] The memory cutting method is suitable for coal seam working faces with relatively gentle roof and floor. The principle of this technology is that t...

AI Technical Summary

Problems solved by technology

However, due to the uncertainty and complexity of the coal seam occurrence conditions, the intelligent algorithm sometimes cannot accurately identify the cutting state of the shearer, which will cause misjudgment of the cutting state identification results; and some measurement cutting signal The sensor is also susceptible to interference from external factors, resulting in inaccurate measurement of the cutting signal, so it is impossible to accurately identify the cutting state of the shearer

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