School of Mechanical and Electrical Engineering, China University of Mining and Technology
School of Mechanical and Electrical Engineering, China University of Mining and Technology-Beijing
CCTEG Taiyuan Research Institute
Shanxi Zhongyang Huarun Liansheng Nanshan Coal Ming Co., Ltd.

基于传感器的煤流特征研究受传感器监测范围有限的影响，无法对刮板输送机整机煤流特征进行研究；基于模型仿真的煤流特征研究缺乏对开采工艺的考虑，不能预测刮板输送机整机的煤流时空分布。针对综采工作面刮板输送机整机运载煤流特征难以监测的问题，结合综采工作面开采工艺，通过分析采煤机截割装载和刮板输送机运载煤流过程，建立了各工艺段下不同装载方式的刮板输送机瞬时装载体积、截面积的数学模型；将刮板输送机运载煤流过程划分为煤流平移和装载煤流叠加，基于有限元方法构建了综采工作面刮板输送机煤流时空分布预测模型。利用该模型仿真分析了开采工艺周期内刮板输送机的煤流时空分布特征：相比于中部正常截割阶段，端头截割阶段的煤流时空分布较为复杂；中部槽装载煤流的最大截面积出现在调换滚筒位置阶段；刮板输送机运载煤流体积在采煤机上行和下行过程中变化趋势相反，变化趋势由采煤机牵引方向决定。利用某矿工作面采煤机和刮板输送机实际运行数据作为模型的输入参数，根据预测的煤流时空分布计算过煤量，结果表明：过煤量预测结果与现场实测的变化趋势一致，累计过煤量预测误差为9.24%，在采煤机进刀过程和上行阶段的固定时间段内过煤量预测误差分别为13.19%和13.78%，证明了煤流时空分布预测模型的正确性。

Research on coal flow characteristics based on sensors is limited by the restricted monitoring range of sensors, making it impossible to study the coal flow characteristics of the entire scraper conveyor. Additionally, research on coal flow characteristics based on model simulations often lacks consideration of mining processes, preventing the prediction of the spatiotemporal distribution of coal flow across the entire scraper conveyor. To address the issue of difficulty in monitoring the coal flow characteristics of the entire scraper conveyor in a fully mechanized mining face, this study integrated the mining process of the fully mechanized face. By analyzing the processes of coal cutting and loading by the shearer and the coal transportation by the scraper conveyor, a mathematical model for the instantaneous loading volume and cross-sectional area of the scraper conveyor under different loading methods in various process segments was established. The coal flow transportation process of the scraper conveyor was divided into coal flow translation and loaded coal flow superposition, and a spatiotemporal distribution prediction model for coal flow on the fully mechanized face scraper conveyor was developed based on the finite element method. Using this model, the spatiotemporal distribution characteristics of coal flow on the scraper conveyor during the mining process cycle were analyzed through simulation. Compared to the normal cutting stage in the middle, the spatiotemporal distribution of coal flow was more complex during the cutting stage at the ends. The maximum cross-sectional area of the loaded coal flow in the middle trough occurred during the stage of drum swapping. The volume of coal flow transported by the scraper conveyor changed in opposite trends during the upward and downward movements of the shearer, with the trend determined by the shearer's traction direction. Actual operating data from a shearer and scraper conveyor in a mine were used as input parameters for the model, and the coal volume was calculated based on the predicted spatiotemporal distribution. The results showed that the predicted trend of coal volume was consistent with on-site measurements, with a cumulative coal volume prediction error of 9.24%. The coal volume prediction errors during the fixed time periods of the shearer's cutting process and upward movement stage were 13.19% and 13.78%, respectively, demonstrating the accuracy of the spatiotemporal distribution prediction model for coal flow.

国家自然科学基金面上项目（51874279）；工信部产业基础再造和制造业高质量发展专项项目（TC220A04W-1/167）。

陈书航，王世博，葛世荣，等. 综采工作面刮板输送机煤流时空分布研究[J]. 工矿自动化，2024，50（9）：98-107.

CHEN Shuhang, WANG Shibo, GE Shirong, et al. Study on the spatiotemporal distribution of coal flow in the scraper conveyor of fully mechanized mining face[J]. Journal of Mine Automation，2024，50（9）：98-107.