In view of the problems of inconsistent data semantics,inconsistent data formats,and difficult data quality assurance between the railway engineering design phase and the construction and operation phase,as well as th...In view of the problems of inconsistent data semantics,inconsistent data formats,and difficult data quality assurance between the railway engineering design phase and the construction and operation phase,as well as the difficulty in fully realizing the value of design results,this paper proposes a design and implementation scheme for a railway engineering collaborative design platform.The railway engineering collaborative design platform mainly includes functional modules such as metadata management,design collaboration,design delivery management,model component library,model rendering services,and Building Information Modeling(BIM)application services.Based on this,research is conducted on multi-disciplinary parameterized collaborative design technology for railway engineering,infrastructure data management and delivery technology,and design multi-source data fusion and application technology.The railway engineering collaborative design platform is compared with other railway design software to further validate its advantages and advanced features.The platform has been widely applied in multiple railway construction projects,greatly improving the design and project management efficiency.展开更多
多方物流企业依托信息平台实施协同配送模式能够显著降本增效,但随着合作规模扩大,顾客预期时间愈发难以满足。有研究采取了时间窗分配策略,但大多策略从成本角度出发,忽视了顾客满意度的重要性。提出了一个多目标时间窗分配策略下多方...多方物流企业依托信息平台实施协同配送模式能够显著降本增效,但随着合作规模扩大,顾客预期时间愈发难以满足。有研究采取了时间窗分配策略,但大多策略从成本角度出发,忽视了顾客满意度的重要性。提出了一个多目标时间窗分配策略下多方协同车辆路径问题(multi-owner collaborative vehicle routing problem with time window assignment,MOCVRPTWA),可以优化成本且保障顾客满意度。由于MOCVRPTWA模型属于NP-hard问题,为降低计算复杂度保证求解质量,设计了一种由K-means聚类算法与改进的NSGA-II算法组成的混合启发式算法来优化MOCVRPTWA模型。提出了一种改进Shapley值法来寻找稳定协同配送联盟的最优利润分配方案和最优联盟序列。实验结果表明,提出的算法在数据验证上表现出了较高的准确率和鲁棒性,MOCVRPTWA模型同时优化了配送成本和顾客满意度,表明协同配送机制和时间窗分配策略可以提高资源利用率和配送效率,有助于城市物流网络的高效运行和可持续发展。展开更多
近年来,智能物联网(Artificial Internet of Things,AIoT)不断推动物流行业的智慧化发展。为了提高物流配送效率,降低物流配送成本,文章提出了一种面向云计算技术的云边协同无人配送路径规划技术,通过云服务器、边缘服务器和终端设备的...近年来,智能物联网(Artificial Internet of Things,AIoT)不断推动物流行业的智慧化发展。为了提高物流配送效率,降低物流配送成本,文章提出了一种面向云计算技术的云边协同无人配送路径规划技术,通过云服务器、边缘服务器和终端设备的有效协调,实现无人配送过程中的用户交互、功能应用、资源管理等功能,为推动智慧物流的发展提供有效参考。利用无人机作为无人配送装置,搭建相应的软硬件架构,在某小区内进行实验,发现无人机能按照最优路径将相关装置有效配送至收货人处,证明该研究具有良好的应用价值。展开更多
基金supported by the National Key Research and Development Program of China(2021YFB2600405).
文摘In view of the problems of inconsistent data semantics,inconsistent data formats,and difficult data quality assurance between the railway engineering design phase and the construction and operation phase,as well as the difficulty in fully realizing the value of design results,this paper proposes a design and implementation scheme for a railway engineering collaborative design platform.The railway engineering collaborative design platform mainly includes functional modules such as metadata management,design collaboration,design delivery management,model component library,model rendering services,and Building Information Modeling(BIM)application services.Based on this,research is conducted on multi-disciplinary parameterized collaborative design technology for railway engineering,infrastructure data management and delivery technology,and design multi-source data fusion and application technology.The railway engineering collaborative design platform is compared with other railway design software to further validate its advantages and advanced features.The platform has been widely applied in multiple railway construction projects,greatly improving the design and project management efficiency.
文摘多方物流企业依托信息平台实施协同配送模式能够显著降本增效,但随着合作规模扩大,顾客预期时间愈发难以满足。有研究采取了时间窗分配策略,但大多策略从成本角度出发,忽视了顾客满意度的重要性。提出了一个多目标时间窗分配策略下多方协同车辆路径问题(multi-owner collaborative vehicle routing problem with time window assignment,MOCVRPTWA),可以优化成本且保障顾客满意度。由于MOCVRPTWA模型属于NP-hard问题,为降低计算复杂度保证求解质量,设计了一种由K-means聚类算法与改进的NSGA-II算法组成的混合启发式算法来优化MOCVRPTWA模型。提出了一种改进Shapley值法来寻找稳定协同配送联盟的最优利润分配方案和最优联盟序列。实验结果表明,提出的算法在数据验证上表现出了较高的准确率和鲁棒性,MOCVRPTWA模型同时优化了配送成本和顾客满意度,表明协同配送机制和时间窗分配策略可以提高资源利用率和配送效率,有助于城市物流网络的高效运行和可持续发展。
文摘近年来,智能物联网(Artificial Internet of Things,AIoT)不断推动物流行业的智慧化发展。为了提高物流配送效率,降低物流配送成本,文章提出了一种面向云计算技术的云边协同无人配送路径规划技术,通过云服务器、边缘服务器和终端设备的有效协调,实现无人配送过程中的用户交互、功能应用、资源管理等功能,为推动智慧物流的发展提供有效参考。利用无人机作为无人配送装置,搭建相应的软硬件架构,在某小区内进行实验,发现无人机能按照最优路径将相关装置有效配送至收货人处,证明该研究具有良好的应用价值。
