In order to test whether the intelligent logistics system based on the Internet of things is an important guarantee for an enterprise to have supply chain competitiveness and save a lot of costs in production and sales, this paper puts forward the innovative architecture and application of the new technology of intelligent logistics system based on the Internet of things, constructs the PLS path model and coordination degree measurement model, and measures and analyzes the coordinated development level of the “logistics regional economy” composite system and the coordinated development level of each subsystem, the coordination degree of the “logistics regional economy” composite system, and the coordination degree of each subsystem. It has effectively solved the problems of low operation efficiency and high labor cost in the procurement and inventory link; moreover, the direct effects of the development of logistics industry on the rationalization and upgrading of industrial economic structure are −0.2269 and 0.0289 respectively, which are significant at the level of 1%. The overall cointegration test shows that China’s logistics industry and economic growth maintain a long-term and stable equilibrium relationship.

This paper is based on the alumina ceramic manufacturing process and its quality to build a quality information management system to study alumina ceramics and its quality factors such as physical properties, chemical properties, and other pieces of related information to find a kind of alumina ceramics. The management of quality management brings efficiency and guarantee to the management system. Obviously, this research is based on the two parts of alumina ceramic tube and quality management information system for data acquisition and analysis. One part is based on the production and performance analysis of alumina ceramic tube and summarizes the quality problems that occurred in this process. This paper constructs an information management system to count these issues and conducts research on information dominance and management; among them, exponential smoothing calculation methods, linear trends, convolutional neural algorithms, and so on are applied for methodological analysis. The experimental results show that the lack of corners and uneven corners in alumina production has been greatly reduced, and the maximum probability of uneven corners has been reduced from 9.27 to 5.27. The scrap rate of ceramic tube quality decreased from the highest value of 5.82 to 3.17, and the maximum value of unqualified quality was changed from 5.76 to 3.03.