Intelligent logistics scheduling model and algorithm based on Internet of Things technology

With the continuous development of science and technology, the information age has arrived, and people have fully entered the information age. In this new era, Internet technology has achieved unprecedented development, and many innovative technologies have also been proposed. The competition in the logistics industry is becoming more and more fierce. Someone proposed the concept of intelligent logistics. This concept has been continuously expanded and the requirements have become higher and higher. Finally, an intelligent logistics management supported by the Internet of Things technology has emerged. technology. In our school's research, we mainly proposed an intelligent distribution model based on the Internet of Things. This model not only optimizes the distribution process, but also proposes an efficient distribution strategy when faced with a large amount of data. This technology mainly uses the information interaction technology in the Internet of Things, which can ensure that the average delivery speed is the fastest, the average transportation distance is the shortest, and the time consumed in the logistics transmission process is the shortest. In the decision-making process of this intelligent distribution model, we must first establish some intelligent distribution models controlled by multiple indicators. During the experiment, we built a logistics perception system and used heuristic algorithms to solve the packing problem. Answered. The mainstream solution algorithm we use genetic algorithm, a large number of experiments and data show that this algorithm is scientifically based, and it has also exerted its due effect in application. This article mainly analyzes the impact of the intelligent logistics system provided by the Internet of Things technology, and then looks forward to the future development trend of the system. We hope that through the analysis of the status quo, we can promote the further development of my country's Internet of Things technology, and also promote the further development and optimization of my country's intelligent logistics system technology.