Yankuang Energy Group Company Limited
Research Center of lntelligent Mining, China University of Mining and Technology

煤矿综采工作面智能化建设过程中存在刮板输送机直线度感知难、测量精度低的问题,为解决此类问题,文章以光纤光栅传感理论为基础,设计一种基于非扭曲均匀多点双芯曲率传感器。建立刮板输送机弯曲工况位姿简化模型,采用了角度递推算法建立了刮板输送机各个中部槽之间的关系。其次,对非扭曲多点双芯曲率传感器进行了标定实验并推导出了光纤光栅波长漂移与角度变化之间的数学方程。最后,基于刮板输送机实际工作状态进行了直线度感知试验研究。试验结果表明,该传感器拟合数据与实测数据具有较大的一致性,其最大误差不超过3mm,可实现综采工作面刮板输送机弯曲度智能感知,为刮板输送机直线度监测提供了新的解决思路。

In the process of intelligent construction of coal mine fully mechanized mining face, there are problems for straightness perception and low measurement accuracy of scraper conveyor. To solve these problems, we designed a non twisted uniform multi-point dual core curvature sensor based on fiber optic grating sensing theory. Built a simplified model for the bending condition pose of a scraper conveyor, and established the relationship between the various middle grooves of the scraper conveyor using angle recursive algorithm. Secondly, conducted calibration experiments on the non twisted multi-point dual core curvature sensor, and derived the mathematical equation between the wavelength drift and angle change of the fiber optic grating. Finally, carried out a straightness perception experiment based on the actual working state of the scraper conveyor. The experimental results show that the fitted data of the sensor is highly consistent with the measured data, with a maximum error within 3mm. It can achieve intelligent perception of the curvature of the scraper conveyor in the fully mechanized mining face, providing a new solution for monitoring the straightness of the scraper conveyor.

国家自然科学基金项目(52104167);中央高校建设世界一流大学(学科)和特色发展引导专项资金项目(2022ZZCX01K3);中央高校基本科研业务费专项资金项目(2020ZDPY0209)

亓玉浩,吴刚,郑粲,等.刮板输送机非扭曲多点双芯曲率传感器设计研究[J].煤炭工程,2025,57(1):144-151.