Online shearer-onboard personnel detection method for the intelligent fully mechanized mining face

Abstract

As unmanned coal mining technology gradually replaces the traditional mechanized coal mining technology, shearer operation mode is changed from local control to remote control in intelligent fully mechanized mining face. In remote control mode, it is difficult to protect the personnel who straying into the shearer operator space without observation and reminder from the shearer operator. Hence, it is necessary to establish an intelligent personnel detection method to protect the safety of coal miners in intelligent unmanned mining face. The environment of low and non-uniform illumination in fully mechanized coal mining face has seriously restricted the application of personnel detection technology based on visible light imaging. Therefore, a personnel detection method based on infrared thermal imaging is proposed in this paper to solve the disadvantages of using visible light imaging in downhole applications. On this basis, a spatiotemporal guided filter is proposed to harmonize the relationship between edge-preserving and noise-removing. Then, an improved Lucas-Kanade method based on the adaptive-size window is utilized to achieve a more robust personnel detection. Moreover, the personnel detection in the shearer operating space is realized based on epipolar geometry and morphology processing. Finally, the laboratory experiment and industrial test are carried out to evaluate the proposed method, and the results indicate the feasibility and superiority of the proposed methods which show considerable application prospects.

A novel recognition method of shearer cutting status based on SDP image and MCK-DCNN

“…(1) Find out each local extreme of the original signal X(t), and calculate the average value m i of the two adjacent extreme n i and n i + 1 from equation (1). Connect all averages values and obtain the local mean function through the moving average method:…”

“…Over the years, the intelligent technology of fully mechanized mining face has developed rapidly. 1 And lots of scholars begin to research the automatic control technology of shearer. The main factor that affects the automatic control of shearer is the accuracy of shearer cutting status recognition.…”

Design and Application of Automatic Control System for Fully Mechanized Mining Face in Coal Mine

“…'e intelligent shearer will memorize the key point, and the automatic control of the intelligent shearer will be based on the conventional memory point. 'e method combined with key memory points improves the accuracy of its control [12].…”