Construction of Logistics Management System of Internet of Things Based on Genetic Algorithm Driven by Big Data

At present, the logistics industry is still in the development stage, and there are some problems such as low transportation efficiency and serious loss, which have a certain impact on the growth of the logistics industry. Supply chain includes supply, manufacturing and distribution. It is a network system of enterprise entities involved in logistics, capital flow and information flow. All resources within the supply chain can be shared under certain conditions. Under the background of the continuous growth of information technology, the logistics industry is constantly optimizing and developing, which reduces the occurrence of information data loss. The logistics industry applying big data can effectively improve the stability and security of the whole physical information in practice, and can effectively avoid the loss of all kinds of information data. Traditional logistics refers to the whole process of delivering goods from the place of supply to different customers in time and safely, relying on manual experience. In this paper, the optimization model of logistics management based on genetic algorithm (GA) is constructed, which provides support for the construction of logistics management system of Internet of Things (IoT) driven by big data, and puts forward the construction strategy of intelligent logistics development mode of IoT and big data.