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一种基于Petri网的无人机物流配送建模方法 被引量:6

A Petri net-based modeling method for UAV logistics distribution
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摘要 针对传统物流配送操作流程繁琐、易受人为因素影响的问题,提出了将无人机引入物流进行配送的方法。首先,利用随机Petri网理论分别对传统物流配送系统以及无人机物流配送系统进行Petri网建模;其次,基于随机Petri网构建马尔科夫链,利用马尔科夫链对模型进行性能分析;再利用随机Petri网的化简规则对两个模型进行等效变换,计算一次配送业务流程的平均作业时间;最后,再对分析结果进行对比研究。研究对比结果表明,相比传统物流配送,利用无人机进行物流线路的再规划,在满足全线路由合理化的同时,时效履约提高了25.6%,由此可知,利用无人机进行物流配送可以明显缩短配送时间,有效提高配送效率,对实际物流问题具有一定理论借鉴意义。 In response to the problem that the traditional logistics distribution operation process is cumbersome and vulnerable to human factors, the method of introducing drones into logistics for distribution is proposed. Firstly, the Petri net theory is used to model the traditional logistics and distribution system and the UAV logistics and distribution system respectively. Second, a Markov chain is constructed based on stochastic Petri nets, and the performance of the model is analyzed using the Markov chain;then the reduction rules of stochastic Petri nets are used to equivalently transform the two models and calculate the average operating time of one distribution business process. Finally, a comparative study is carried out on the analysis results. The research and comparison results show that, compared with traditional logistics distribution, the use of drones to re-plan logistics routes, while satisfying the rationalization of the entire route, improves the time-limited performance by 25.6%. It can be seen that the use of drones for logistics distribution can be significantly shortening the delivery time and effectively improving the delivery efficiency has certain theoretical reference significance for actual logistics problems.
作者 冉宁 寇梦娇 郝真鸣 郝晋渊 Ran Ning;Kou Mengjao;Hao Zhenming;Hao Jinyuan(College of Electronic Informational Engineering,Hebei University,Baoding 071002,China;Laboratory of Energy-Saving Technology,Hebei University,Baoding 071002,China;Laboratory of loT Technology,Hebei University,Baoding 071002,China;HBU-UCLAN School of Media,Communication and Creative Industries,Hebei University,Baoding 071002,China)
出处 《电子测量技术》 北大核心 2022年第15期90-99,共10页 Electronic Measurement Technology
基金 国家自然科学基金(61903119) 河北省高等学校科学技术研究项目(BJ2021008) 河北省引进留学人员资助项目(C20190319) 河北省高等学校人文社会科学研究项目(SY202106) 河北省人力资源社会保障课题(JRS-2020-3025) 河北省社会科学发展研究课题(20210301141) 保定市文化艺术科学规划项目(BWGY044) 2021年度河北大学高校思想政治理论课研究专项资助。
关键词 PETRI网 无人机 配送 物流 Petri net UAV distribution logistics
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