Smart Logistics and Distribution System Based on Laser and Vision Fused SLAM Algorithm
Journal: Modern Economics & Management Forum DOI: 10.32629/memf.v2i6.539
Abstract
In the context of rapid increase of the intelligence and information level in the field of industrial economy, China’s logistics industry has ushered in a stage of rapid development. Logistics and distribution services, a key sector in commodity circulation, play a significant role in the manufacturing industry and the national economy. However, there are still some problems in logistics and distribution services, as the traditional manual logistics mode still prevails, with the efficiency and information security compromised. In response to existing problems, this program aims to create an environmental protecting unmanned intelligent logistics distribution system. This system applies AGV trolley, the core product of this program, to intelligent navigation and transportation logistics. Based on the shared storage distribution path optimization model of the two-way service of supply and demand, the unmanned distribution trolley and distribution path are reasonably arranged as required by the user to deliver a great variety of raw materials and goods in information-based packaging boxes and unit cabinets to the destination on time. On the one hand, accurate logistics information becomes available as a result, which is beneficial for optimization and scheduling, so that the problem of parcel loss in logistics can be solved in general. On the other hand, users can trace the detailed logistics process in a precise manner. Furthermore, this design unit supports a highly efficient automated logistics approach, as goods of different sizes can be matched with design units with corresponding sizes, so that storage utilization is maximized, and the logistics loading and unloading process is simplified. In addition to its role in packaging, this design unit is also subject to recycling, as it protects the environment by reducing disposable packaging while protecting user privacy and optimizing user experience.
Keywords
natural navigation, intelligent logistics, unmanned distribution
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[2] Comparison of several SLAM algorithms commonly used in ROS [EB/OL]. https://www.cnblogs.com/li-yao7758258/p/8213578.html, 2018-01-06.
[3] Dong Xiujuan, Feng Bin, Wang Baokun. Design of autonomous trolley based on lidar and SLAM[J]. Electronic Testing. 2020(01).
[4] Guan Jinsheng. Unmanned and emergency logistics support in the context of intelligent logistics[J]. China Storage & Transport. 2021(05):137-138.
[5] Xu Kexiang. Research on Intelligent logistics distribution decision-making and system design [D]. Xidian University, 2020.
[6] Liao Ziwei, Li Rongbing, Lei Tingwan, Hang Yijun. Indoor scan matching SLAM method based on geometric feature association[J]. Navigation and Control. 2016(03).
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