With the continuous development of the level of informatization, the fourth industrial revolution dominated by intelligent manufacturing is setting off a wave of change in all countries, whether it is Germany's Industrial 4.0, the United States' industrial Internet, or the domestic “Made in China 2025â€, a new generation of information. The deep integration of technology and manufacturing is bringing about major changes in production methods, industrial forms, business models, and economic growth points. "Make-up" is changing to "smart manufacturing." Smart Manufacturing: Physical Factory + Virtual Factory Smart Manufacturing integrates next-generation information technologies such as the Internet of Things, big data, and cloud computing with all aspects of manufacturing activities such as design, production, management, and services. It uses intelligent factories as carriers and adopts the form of “physical factories + virtual factoriesâ€. Industrial intelligence upgrades. In the process of innovation, "Internet of Things" and "big data" have become the two protagonists of intelligent manufacturing. Through the application of the Internet of Things and big data, based on end-to-end data flow, and supported by interconnection, a highly flexible personalized and digital smart manufacturing model is constructed to achieve deep self-awareness of information, self-decision of wisdom optimization, and precise control self-execution. Etc. The core of the Internet of Things is the use of a new generation of information and communication technologies to embed smart devices (information systems) such as sensors and sensors in various objects and environments (physical systems) such as power grids, transportation, buildings, factories, and goods, through wireline. Connected to the wireless network to form the Internet of Things, and integrate the Internet of Things and the Internet through the Internet and cloud computing, and connect objects to the information network. Through real-time communication and effective communication between people, production, and products, insights into the physical world can be realized. control. The application of big data analysis is based on the Internet of Things. It integrates the company's internal full-process operational data and external mobile Internet, social media, social networking, and consumer intelligence. "Insight-Response-Elevation" Closed-Loop Lean Management helps companies fully play the auxiliary decision role of big data analysis. Taking a manufacturing factory as an example, the factory has the fundamental goal of improving quality, reducing costs, and improving efficiency. Through the application of the Internet of Things technology, various data sources in the manufacturing process are interconnected, the information flow is automated, and the entire production chain is visualized. Through the analysis of big data, massive amounts of invisible data are converted into dominant data, and information and decision-making suggestions are provided to production line operators, supervisors, and senior management personnel in real time to help companies enhance their manufacturing insights. * Application focus of manufacturing plants Intelligent Decision Making: Building Big Data Analytics Capabilities With the advancement and application of intelligent manufacturing in various fields, the digitization of enterprise production processes and the intelligentization of management processes are gradually being realized. However, in the future, whether or not intelligent decision-making can be achieved will be the key to opening up the business gap. What is decision intelligence refers to the construction of big data analysis capabilities on the basis of automation and equipment intelligence, so that “data†is transformed into “intelligenceâ€, and then actions are generated by insights, not only to enhance the ability of insights and analysis in technology, It is also necessary to increase the synchronization from the perspective of organization, management and control, and ability to truly realize the smooth operation and cyclical improvement of the "perception-intelligence-assessment-response" closed-loop. * Big data analysis capability building In the data management stage, industrial big data focuses on information and data management, establishes data management rules, and guides the identification and processing of massive data. The second stage is the transformation of information into insights, through the construction of appropriate operating mechanisms, data analysis platforms, and data analysis tools, using data analysis to tap root causes and provide support for management decisions, including: support and management system construction, organization, and Talent management, insight management, insight into action management, etc. The third stage consists of insight into the reverse thrust of the business. By introducing analytic insights into business operations, the related workflows for optimal decision making and the establishment of relevant assessment tools, methods, and processes can be used to measure the actual business insight generated by big data analysis. value. With the application of IoT and big data analysis technologies, driving business management through data insights has become an important trend in the industry. Based on this, business goals such as business model innovation, production model innovation, operational model innovation, and scientific decision-making capabilities have been established. It is possible that the Internet of Things and big data are helping companies to achieve a transformation from "manufacturing" to "creation." "Like that the invention of electricity changed all industries, agriculture, manufacturing, railways, communications, etc. 100 years ago, the Internet of Things and big data may also bring about tremendous changes to almost all industries in the future." Shearing Machine,Electric Metal Shear,Metal Shear,Industrial Metal Shear Huade Heavy Industry Technology Co., Ltd , https://www.huadebaler.com