Abstract
Starting from the current problems facing Industry 4.0, this article analyzes the changes in the macro and industrial environment that Industry 4.0 faces and explains the problems, opportunities, and strategies for the manufacturing industry in the external environment. First, the reference system of the intelligent manufacturing system, the current status, and the existing problems of industrial production management are analyzed through the investigation of the status quo of industrial production and management. This puts forward the detailed requirements of the industrial intelligent manufacturing system in the data acquisition layer, data storage layer, and analysis and decision support layer and then designs the hierarchical structure of the industrial intelligent manufacturing system. Subsequently, it adopts design methods and lists product manufacturing costs, pointing out that Industry 4.0 requires industrial transformation, and finally proposes the strategic direction of smart manufacturing in combination with the Industry 4.0 network strategy. At the same time, in view of the problems of long parameter measurement time and untimely system feedback in the existing koji-making process, an online parameter measurement method based on network optimization is proposed. On the basis of the neural network, an industrial neural network with double hidden layers and self-feedback of the output layer is proposed. Through algorithm comparison experiments, the proposed parameter prediction model based on industrial neural network has better prediction results and higher accuracy. Finally, a comparison of cost, quality, delivery time, etc., before and after the implementation of Industry 4.0 intelligent manufacturing is carried out. An intelligent solution is proposed, the implementation goal is formulated, and the implementation is gradually implemented in stages, and finally an intelligent upgrade and transformation are realized. It is shown in many aspects that intelligent manufacturing provides a powerful means for enterprises to achieve agility, virtualization, lean, integration, and collaboration, and it can bring efficiency, reliability, and safety to the manufacturing process of enterprises.
Highlights
With the gradual rise of customized manufacturing, intelligent manufacturing systems have been widely used, and the resulting intelligent scheduling problems have become a hot research topic [1]
Industry 4.0 focuses on intelligent manufacturing and strives to ensure that the manufacturing industry can continue to develop at a high speed with green, environmental protection, intelligence, and efficiency. e three parts of smart factory, smart production, and smart logistics form the core of Industry 4.0 [2]
The introduction of Industry 4.0 makes intelligent scheduling play the role of the core brain in both smart factories and smart logistics in smart manufacturing, which is the basis of smart manufacturing [4]
Summary
With the gradual rise of customized manufacturing, intelligent manufacturing systems have been widely used, and the resulting intelligent scheduling problems have become a hot research topic [1]. Research on the application of Internet of ings technology, industrial robot technology, cloud computing and big data technology in solid wood customization enterprises integrates ERP system, SCM system, CRM system, PLC system, MES system; realizes the interconnection of data and information; and cooperates with each other, promoting each other to form a complete intelligent manufacturing system. Intelligent manufacturing is the integration of manufacturing technology with intelligent technology, digital technology, and network technology in the entire life cycle of product design, manufacturing, operation management and after-sales service, intelligent reasoning, and intelligent decision-making and control to achieve timely response to consumer needs. It is the general term for product design, manufacturing, and supply chain logistics.
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