针对因井下车辆移动速度过快、车辆外壳屏蔽等原因造成乘车人员漏识别，车辆乘人超载无法有效管控，存在安全隐患，难以满足《智能化示范煤矿验收管理办法（试行版）》中辅运系统相关要求等问题，设计了一种基于精确定位技术的无轨胶轮车超员报警检测方法。首先，将基站输出的测距数据转换为三维坐标，生成连续性轨迹；其次，利用相邻时刻位置数据确定行进方向向量，进而对轨迹数据预处理；再次，采用动态时间规整（DTW）算法对车辆与乘车人员轨迹对齐，求解最佳路径，获得度量值；最后，以司机轨迹度量值为样本，衡量人员轨迹与样本的相似程度，进而得出人员是否为乘车人员以及车辆是否超员的判定。试验结果表明：各项功能运行正常，正确率约为95.12%，逻辑相应时间约为30 ms，现场应用状况良好。

Aiming at the problems of missing identification of passengers caused by excessive moving speed of underground vehicles and shielding of vehicle casings, the inability to effectively control the overload of vehicles, the existence of potential safety hazards, and the difficulty in meeting the relevant requirements of the auxiliary transportation system in(), a trackless rubber-tyred vehicle overcrowding alarm detection method based on precise positioning technology is designed. Firstly, the ranging data output by the base station is converted into three-dimensional coordinates to generate a continuous trajectory. Secondly, the moving direction vector is determined by using the position data of adjacent moments, and then the trajectory data is filtered. Thirdly, the dynamic time warping (DTW) algorithm is used to align the trajectory of the vehicle and the passenger, solve the optimal path, and obtain the measurement value. Finally, the driver’s trajectory measurement value is taken as a sample to measure the similarity between the personnel trajectory and the sample, and then the judgment of whether the personnel is the passenger and whether the vehicle is overcrowded is obtained. The experimental results show that the functions are running normally, the correct rate is about 95.12%, the corresponding logic time is about 30 ms, and the field application is in good condition.