基于多元回归模型的矿用胶轮车动力性评估

针对防爆轻型胶轮车在煤矿日常维护中动力性检测成本高难以实现，而排放检测比较便捷的现状，提出用排放检测数据评估轻型胶轮车动力性的多元回归方法。首先根据动力性排放关联因素选择了防爆轻型胶轮车排放检测设备，利用SPSS软件中多元回归法得出最理想的拟合方程，建立矿用轻型胶轮车动力性评估的多元回归模型。其次，进行了动力性评估试验，将模型评估结果与底盘测功测得的底盘最大输出功率对比。试验结果表明，排放中烟度、氮氧化合物、排气温度与胶轮车动力性呈负相关，一氧化碳与胶轮车动力性呈正相关，模型可有效评估车辆动力性的最大底盘输出功率，且模型评估误差不超过±5%。该模型可以作为日常车辆动力性检测的评估依据。

Dynamic Evaluation of Mining Rubber Tire Vehicles Based on Multiple Regression Model

Aiming at the high cost of dynamic testing of explosion-proof light-duty rubber tires in the daily maintenance of coal mines, it is difficult to realize the emission detection, and a multi-regression method for evaluating the dynamics of light-duty rubber vehicles with emission detection data is proposed. Firstly, according to the dynamic related emission factors, the explosion-proof light rubber tire emission testing equipment was selected. The multi-regression method in SPSS software was used to obtain the optimal fitting equation, and the multiple regression model of the dynamic evaluation of mining light rubber tire vehicle was established. Secondly, a dynamic evaluation test was conducted to compare the model evaluation results with the measured data of the maximum chassis dynamometer reflecting dynamics. The test results show that the smoke, nitrogen oxides and exhaust temperature are negatively correlated with the dynamics of the rubber tire, and the carbon monoxide is positively correlated with the dynamics of the rubber tire. The model can effectively evaluate the maximum chassis output power of the vehicle. The model evaluation error does not exceed ± 5%. This model can be used as a basis for evaluation of daily vehicle dynamics testing.