A Hierarchical Algorithm Model for the Scheduling Problem of Cold Chain Logistics Distribution Vehicles Based on Machine Vision

Abstract With the continuous development of the market economy, the professional degree of the logistics industry is constantly improving, while the logistics distribution industry is also developing rapidly. The logistics distribution of the cold chain supply chain involves multiple distribution points, and the distance and time relationship between the distribution points are often not fully considered in the route planning, resulting in low distribution efficiency. The hierarchical algorithm model based on machine vision can solve the above problems to a certain extent. This paper takes two cold chain supply chain enterprises as the main research body, analyzes how to choose two kinds of COD and CCD sensors using machine vision, and the number of distribution vehicle scheduling. The simulation experiment was performed and at the end of the article it is summarized and discussed. According to the data sample, the two enterprises have the largest number of people satisfied with the supply chain logistics and distribution vehicle scheduling, but the number of people dissatisfied with enterprise A is 6 and 12% of the total. The number of people dissatisfied with enterprise B is 16 and 32% of the total number, It can be seen that although the number of people satisfied with the two enterprises is large, the number of people dissatisfied with enterprise B far exceeds that of enterprise A. At the same time, with the continuous research of supply chain logistics distribution vehicle scheduling, the research on machine vision is also facing new opportunities and challenges.