Research on Integrated Management of Logistics Economy Based on Internet of Things

Abstract

In order to study the management and control ability of the government affairs 4.0 system on the logistics economic park and improve the data prediction and data early warning sensitivity of the economic management information system in the logistics economic park, this study recombs the basic model of the logistics economic park and puts forward the development model of the inward logistics economic park. Based on this model, a logistics economic big data system is built, and a data early warning model based on machine learning is designed. In the simulation verification, it is found that the original data demand of machine learning data early warning mode is smaller, the data sensitivity early warning cycle is longer, and the data early warning sensitivity is higher under the same conditions. Finally, it is considered that the machine learning linear programming algorithm model has high applicability in the government economic management process of inward logistics economic park.