并列式管道在智能保洁车上的应用研究

Research on the Application of Parallel Pipelines in Intelligent Cleaning Vehicles

为了有效提升智能保洁车的工作效率,这里设计了一种基于并列式管道吸口的智能保洁车模型,其利用图像识别对路面垃圾分区,控制10个子吸口的有序开闭,实现定点吸取,基于道路右侧垃圾量多的调查结果设计了并列式管道结构。该模型气路系统工作所需风量为1741m^(3)/h,利用Fluent仿真证实了单口吸取的优先性大于双口吸取。搭建试验台测试结构表明,在18m/s的风速下管道吸取率超过90%,管道滞留率低于5%且能够完成全工况下的工程需要,试验仿真的平均相对误差为7.79%。研究为智能保洁车的设计提供了理论依据。

In order to effectively improve the efficiency of the intelligent cleaning vehicle,this paper designs a model of intelligent cleaning vehicle based on parallel pipeline suction port,which uses image recognition to partition road pavement,control the orderly opening and closing of 10 sub suction ports,and realize fixed-point suction,based on The investigation result of the large amount of garbage on the right side of the road has designed a parallel pipeline structure.The air volume required for the operation of the model gas path system is 1741m^(3)/h,and the fluent simulation has confirmed that the priority of single-port suction is greater than that of double-port suction.The test structure of the test rig has shown that at 18m/s wind speed,the pipe suction rate exceeds90%,the pipe retention rate is less than 5%and can meet the needs of the project under full working conditions.The average relative error of the test simulation is 7.79%.The research provides a theoretical basis for the design of intelligent cleaning vehicles.