智能工作面液压支架运行姿态光纤光栅感知基础研究

获取液压支架运行姿态是实现智能化开采的必需性基础信息，但液压支架姿态监测参数不全面及测量精度低，阻碍了智能化开采的发展。项目采用光纤光栅传感、多传感器信息融合方法对液压支架运行姿态精准感知进行深入研究。通过建立液压支架运行姿态光纤光栅多参量感知模型及指标体系，研究光纤光栅应变传递感知信号时变重构方法，揭示液压支架运行姿态信息光纤光栅高精度传感机理；探讨液压支架运行姿态光纤光栅感知误差效应，明确影响感知精度的主要控制因素，提出液压支架感知误差源下光纤光栅传感元件的误差补偿模型；建立液压支架运行姿态光纤光栅感知数据知识库，确立液压支架运行姿态多传感器信息融合模型，研究液压支架运行姿态信息融合的解算策略。从光纤光栅传感元件、多参量传感系统两个层面提高液压支架运行姿态感知精度，形成液压支架运行姿态光纤光栅精准感知理论。研究成果为工作面液压支架智能决策控制、顶板运动状态反演提供研究基础与理论参考。

Acquiring the running posture of hydraulic support is the necessary and basic information for intelligent mining. However, the incomplete perception parameters and low measurement accuracy of hydraulic support posture hinders the development of intelligent mining. In this project, fiber Bragg grating (FBG) sensing and multi-sensor information fusion method will be adopted to study the precision perception of hydraulic support running posture. The FBG multi-parameter sensing model and index system of the hydraulic support running poeture is established, the time-varying reconstruction method of FBG strain transfer sensing signal is studied, and the high-precision sensing mechanism of FBG for hydraulic support running posture is revealed. The sensing error effect of FBG for hydraulic support running posture is studied, the main control factors of sensing accuracy is determined, and the error compensation model of FBG sensor under certain error source of the hydraulic support is proposed. The FBG sensing data base and multi-sensor information fusion model of hydraulic support running posture are established, to study the solution strategy of hydraulic support running posture information fusion. The sensing accuracy is improved at the two levels of FBG sensing element and multi-parameter sensing system, so as to form the FBG precision perception theory of hydraulic support running posture. The research results will provide research basis and theoretical reference for intelligent decision-making control of hydraulic support and roof movement state inversion in working face.