With the gradual increase of production equipment, the increasingly complex production process, the rapid increase in labor costs and the higher and higher requirements for system management, smart factories have become an inevitable trend in the development of the current manufacturing industry. At the same time, policy dividends and technical reserves also make the transformation of enterprise smart factories in the best era. However, in this favorable environment, the company’s own decision-making is crucial, and mistakes in the decision-making of the transformation path may miss the opportunity and become the worst era for the company.
In the face of intelligent transformation, one of the most typical phenomena is that enterprises are in different development stages. Some enterprises have a high level of intelligence, while a large number of small and medium-sized enterprises have a low level of informatization. Faced with this situation, traditional manufacturing companies must implement targeted improvements in order to implement intelligent manufacturing in order to bring tangible benefits to the company.
In order to better help customers cope with the wave of intelligence, Hengju’s whole plant automation intelligent central conveying system focuses on the central feeding system, and tailors it for customers from the aspects of new plant planning, old plant upgrading and transformation, and factory technical consultant guidance. Customized one-stop solution for Iot smart factory system.
This solution has the following 3 major advantages:
Digital production increases efficiency by 60%. In the traditional and manufacturing environment, because there is no means to achieve intelligence and interconnection, data is more likely to fall asleep or even lose value quickly. Realize digital production, open up the functions of production raw material data, formula data, error prevention and foolproof, data traceability, etc., and can restore and trace production information throughout the process. Secondly, real-time feedback of information during the production process can effectively reduce communication management costs. Furthermore, accurate data analysis can help customers optimize production processes and improve efficiency. In addition, it also adds a two-dimensional code scanning process, which can effectively reduce the phenomenon of wrong material input during the production process of workers tired. In short, digital production not only realizes the close cooperation and efficiency improvement of various production links, but also makes the quality of the produced products more stable and reliable.
Lean production realizes product customization. The central feeding system adopts centralized automatic control of microcomputer, which can realize data-based centralized feeding and control according to the distribution of on-site machines and the situation of on-site raw materials, combined with auxiliary equipment. In addition, the system solution of unmanned uninterrupted production in the whole plant, combined with the special functions of each machine in the system, can fully realize the special requirements of raw materials such as dehumidification, drying, transportation, metering, mixing, and proportioning. In this way, through the fine distribution of different operation processes, while greatly reducing the loss of raw materials, the original assembly line and standardized production can be transformed into highly personalized customized production, thereby enhancing the market competitiveness of the enterprise.
The curtain of Industry 4.0 has been opened, and the transformation of manufacturing enterprises to smart factories is an inevitable trend. Through the network interconnection, data intercommunication and system interoperability of industrial resources, the intelligent central feeding system can not only realize the flexible configuration of manufacturing raw materials, the on-demand execution of the manufacturing process, the reasonable optimization of the manufacturing process and the rapid adaptation of the manufacturing environment, to achieve The efficient use of resources can also establish an intelligent operation system, avoid subjective decision-making errors, and reduce communication costs in all links.
