随着高校学生网购比例的急剧增长,校园快递“最后一公里”问题日益突出。文章以上海工程技术大学松江校区为例,深入研究了校园内无人车配送快递系统的创新应用,旨在解决现有校园快递配送中存在的取件不便、配送效率低下等问题。通过采用...随着高校学生网购比例的急剧增长,校园快递“最后一公里”问题日益突出。文章以上海工程技术大学松江校区为例,深入研究了校园内无人车配送快递系统的创新应用,旨在解决现有校园快递配送中存在的取件不便、配送效率低下等问题。通过采用Odoo开源系统,设计了一套包括上门取送件、配送过程跟踪、费用结算等功能模块的校园无人车快递服务运营支撑系统。该系统利用聚类算法进行订单分类计算,并结合调度算法对无人配送小车进行路径规划,以提高配送效率和用户体验。同时,探讨了后台管理子系统的功能设计,包括车辆数据管理、实时跟踪定位、权限管理等。文章的研究为校园快递配送提供了一种新的解决方案,相较于传统校园配送系统,文章创新性地将Odoo平台的模块化特性与无人车技术结合,实现了更灵活的定制化服务。With the sharp increase in the proportion of online shopping among college students, the “last mile” problem of campus express delivery has become increasingly prominent. Taking the Songjiang Campus of Shanghai University of Engineering Science as an example, this paper conducts an in-depth study on the innovative application of the unmanned vehicle delivery system in the campus, aiming to solve the existing problems in campus express delivery such as inconvenient collection and low delivery efficiency. By adopting the Odoo open-source system, a campus unmanned vehicle express delivery service operation support system with functions such as door-to-door collection and delivery, delivery process tracking, and fee settlement has been designed. The system uses clustering algorithms for order classification and combines scheduling algorithms for path planning of unmanned delivery vehicles to improve delivery efficiency and user experience. Meanwhile, the functional design of the back-end management subsystem, including vehicle data management, real-time tracking and positioning, and permission management, is also discussed. The research in this paper provides a new solution for campus express delivery. Compared with traditional campus delivery systems, this paper innovatively combines the modular characteristics of the Odoo platform with unmanned vehicle technology to achieve more flexible customized services.展开更多
文摘随着高校学生网购比例的急剧增长,校园快递“最后一公里”问题日益突出。文章以上海工程技术大学松江校区为例,深入研究了校园内无人车配送快递系统的创新应用,旨在解决现有校园快递配送中存在的取件不便、配送效率低下等问题。通过采用Odoo开源系统,设计了一套包括上门取送件、配送过程跟踪、费用结算等功能模块的校园无人车快递服务运营支撑系统。该系统利用聚类算法进行订单分类计算,并结合调度算法对无人配送小车进行路径规划,以提高配送效率和用户体验。同时,探讨了后台管理子系统的功能设计,包括车辆数据管理、实时跟踪定位、权限管理等。文章的研究为校园快递配送提供了一种新的解决方案,相较于传统校园配送系统,文章创新性地将Odoo平台的模块化特性与无人车技术结合,实现了更灵活的定制化服务。With the sharp increase in the proportion of online shopping among college students, the “last mile” problem of campus express delivery has become increasingly prominent. Taking the Songjiang Campus of Shanghai University of Engineering Science as an example, this paper conducts an in-depth study on the innovative application of the unmanned vehicle delivery system in the campus, aiming to solve the existing problems in campus express delivery such as inconvenient collection and low delivery efficiency. By adopting the Odoo open-source system, a campus unmanned vehicle express delivery service operation support system with functions such as door-to-door collection and delivery, delivery process tracking, and fee settlement has been designed. The system uses clustering algorithms for order classification and combines scheduling algorithms for path planning of unmanned delivery vehicles to improve delivery efficiency and user experience. Meanwhile, the functional design of the back-end management subsystem, including vehicle data management, real-time tracking and positioning, and permission management, is also discussed. The research in this paper provides a new solution for campus express delivery. Compared with traditional campus delivery systems, this paper innovatively combines the modular characteristics of the Odoo platform with unmanned vehicle technology to achieve more flexible customized services.
