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基于光纤光栅的刮板机直线度感知关键技术研究

Research on key technique of straightness perception of scraper conveyor based on fiber grating

  • 摘要: 为了解决煤炭智能化开采进程中刮板输送机直线度感知手段缺失的关键技术问题,在研究光纤光栅曲率传感原理的基础上,设计并研发了光纤光栅三维曲率传感器。然后基于光纤光栅三维曲率传感器传感获得的正交方向上的离散点曲率信息,采用拟合递推的方法进行了三维算法推导,实现了刮板输送机三维弯曲形态拟合感知与重建。并通过搭建刮板输送机三维弯曲测试试验平台,分别对刮板输送机三维直线状态及三维弯曲状态下感知形态与实际形态的测量效果进行了验证。试验结果表明:在刮板输送机三维弯曲形态布置情况下,实测曲线与感知曲线基本一致,各坐标轴方向误差不大于±15 mm,能够满足智能工作面对直线度的检测精度要求。

     

    Abstract: In order to solve the key technical problems of straightness perception of scraper conveyor in coal intelligent mining process, based on the research of curvature sensing principle of fiber grating, a three-dimensional curvature sensor of fiber grating is designed and developed. Then, based on the discrete point curvature information obtained by the three-dimensional curvature sensor of fiber grating, the 3D algorithm is derived by using the method of fitting recursion, and the 3D bending shape fitting perception and reconstruction of the scraper conveyor are realized. By setting up a test platform for three-dimensional bending of the scraper conveyor, the measuring effect of perceived and actual shape in the three-dimensional straight state and three-dimensional bending state of the scraper conveyor is verified. The test results show that the measured curve is basically the same as the perceptual curve in the three-dimensional bending configuration of the scraper conveyor, and the error of the direction of each coordinate axis is not more than ±15 mm, which can meet the requirements of the accuracy of detecting the straightness of the intelligent work.

     

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