高速公路鲜活农产品运输车辆快速检测方法

为提高鲜活农产品运输车辆的通行效率，减少收费站稽查人员劳动量，提出了一种基于激光测距系统的货运车辆快速检测方法；分析了鲜活农产品承运车型的特点，通过车辆流向归纳，确定了常见的鲜活农产品承运车型；引入车辆外廓尺寸激光测距系统，建立了货物密度数据库作为判定基础；通过分析免征通行费的合理装载要求，结合货物密度的概率分布，以8×4载货车为分析对象，分析了货物密度上限与下限阈值的取值范围，提出了违规装载的货物密度判定模型；根据货车轴组间距的规律，运用力矩平衡原理确定靠近货厢最前端轴组的理论质量，提出了轴组判定模型；利用收费站实测数据，验证了货物密度判定模型和轴组判定模型的可行性，分析了计算误差，并对比了该检测方法的稽查优势。研究结果表明：鲜活农产品的主要承运货车车型有5种；货物密度判定模型测算的体积偏差率、密度偏差率分别为±3.75%、±4.94%，明显小于判定逻辑中合理区间、警告区间公差的50%；轴组判定模型对激光测距系统的依赖性较大；依托2种模型构建的快速检测方法是人工稽查效率的5.97倍，能够有效提高车道通行效率；被调查车道内的开厢查验率为16.62%，能够减少货车开厢查验频次，节省稽查人员劳动量和岗位配置；虽然增加的选择和输入参数过程平均耗时0.41 min，但仅为人工稽查耗时的15.70%。

Rapid check method for truck loaded with fresh agricultural products on expressway

To improve the traffic efficiency of trucks loaded with fresh agricultural products (FAPs) and reduce the workload of inspectors at toll stations, a rapid check model for trucks loaded with FAPs based on a laser ranging system was proposed. The characteristics of main types of trucks loaded with FAPs was analysed, and common types of trucks loaded with FAPs were determined by traveling route induction. The laser ranging system of carriage outline was introduced and the cargo density database was established as the basis of judgment. According to the required loading limits of tolling for free, and considering the probability distribution of cargo densities, the upper and lower thresholds of the cargo density were determined, and a cargo density judging model for unreasonable loading was developed for the case of an 8×4 truck. Based on the features of space between truck axles, the moment balance principal (MBP) was used to deduce the theoretical weight of the assembled axles, which were close to the front of the carriage. The assembled axles judging model was then developed based on the MBP. The feasibilities of the cargo density judging model and assembled-axles judging model were verified by the measuring data of toll stations, the computational errors of the two models were analyzed, and the advantages of the rapid check model were compared with those of the manual model. Analysis results show that there are five main types of trucks in FAP transport, The deviation rates of volume and density measured by the cargo density judging model are ±3.75% and ±4.94%, respectively, which is considerably less than 50% of the tolerance of a reasonable range or warning range in the judging logic. The dependence of the cargo density judging model based on the laser ranging system is less than that of the assembled axles judging model. The efficiency of the rapid check model based on the two models is 5.97 times higher than that of the manual inspection, which can effectively improve the efficiency of the lane. The inspection rate of all the investigated trucks is 16.62%, which can reduce the inspection frequency and economize labor and employment. Although the average time of the added selection and input parameter process is 0.41 min, it is only 15.70% of the time of the manual inspection. 4 tabs, 3 figs, 30 refs.