Logistics vehicle intelligent scheduling algorithm based on Internet of Things technology

Abstract

The invention discloses a logistics vehicle intelligent scheduling algorithm based on the Internet of Things technology. The method relates to the field of Internet of Things technology and intelligent operation, and adopts an intelligent algorithm design based on multi-objective optimization. Different from the situation that only a vehicle cargo assembly scheme or a vehicle transportation route scheme is planned in a traditional scheduling algorithm, the logistics vehicle cargo assembly and logistics vehicle transportation route planning scheme is considered as a whole. Mathematical modeling is carried out on a logistics scheduling scheme according to the actual investigation and survey condition of the logistics market, common elements in logistics scheduling are abstracted into a data set, and referring to the actual logistics transportation process, logistics vehicle transportation consumption, average loading and unloading cost, logistics warehouse storage required cost, storage balance degree, and delivery remaining time of loaded goods are taken as optimization objectives of an intelligent scheduling algorithm. Logistics vehicles, logistics warehouses and cargo information are obtained by using the Internet of Things technology, a logistics vehicle intelligent scheduling algorithm based on a genetic algorithm is designed, and algorithm iteration optimization is performed on a scheduling scheme through a flow of crossing, variation and preferential selection according to a target on an initial population, so that a scheduling scheme most suitable for a current logistics transportation condition is obtained. Through instance testing and analysis of the algorithm, the logistics transportation cost can be effectively reduced, and the logistics transportation efficiency can be improved.

Description

technical field [0001] The invention relates to the field of Internet of Things technology and intelligent computing, in particular to an intelligent scheduling algorithm for logistics vehicles based on Internet of Things technology. Background technique [0002] In recent years, with the rapid development of my country's economy, the domestic logistics industry is facing challenges as well as pressure. The ever-expanding user demand prompts the logistics and transportation industry to actively seek technological innovation. Smart logistics requires individual logistics vehicles as the basic information unit, expand information interaction forms, improve road traffic conditions, increase the utilization rate of public transportation resources, further realize more efficient management of logistics vehicles by logistics companies, and effectively apply Internet of Things technology into the logistics industry. At the same time, as the Internet of Vehicles technology continue...

AI Technical Summary

Problems solved by technology

However, due to the lack of complete system data to support the previous scheduling algorithms, most of them are designed with the idea of ​​logistics vehicle assembly and logistics vehicle driving route separately, and the given scheduling scheme often lacks overall consideration.

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