Industrial Internet Deeply Empowers Manufacturing Transformation
2023-09-07
Digital robots interact with workshop production equipment through visual tracking and other technologies to automatically control equipment operation; Digital twins, artificial intelligence, and the Internet of Things work together to achieve hierarchical visualization of factory scenes, helping enterprises reduce costs and increase efficiency... At the 25th China International Software Expo, Tianjin Zhuolang Information Technology Co., Ltd. (hereinafter referred to as "Zhuolang Technology") meticulously arranged the booth, and the intelligent manufacturing sector was brilliant and eye-catching. We have brought many 'heavyweight products' this time, showcasing the research and innovation of enterprises in fields such as intelligent manufacturing, smart cities, and digital transformation of enterprises. "Yu Lianlin, Deputy General Manager of the Tiangong Business Unit of the company, said that using technologies such as IoT and artificial intelligence, enterprises can now help traditional factories build data collection platforms, data centers, and digital twin platforms, restoring production scenarios Realize perceptual interconnection between industrial equipment and intelligent control systems. In recent years, many enterprises engaged in industrial software development and information technology services have rapidly developed in Jincheng. While serving industrial production and enhancing their "technological heritage," they have also witnessed the transformation and changes brought about by the deep integration of digital technology into China's manufacturing industry. Entering the Tianjin Haier washing machine interconnection factory, we see an intelligent and automated scene. The components are orderly transported to the required process along the fully automated logistics transportation system above the head; With advanced equipment and manual collaboration, a washing machine can be taken offline in just a few seconds. With the empowerment of artificial intelligence, the production efficiency of washing machines has doubled, "said Hao Xingjun, General Manager of Tianjin Haier Washing Appliances Co., Ltd. Currently, the factory is achieving comprehensive digital transformation through continuous upgrading of digital applications. In the center of the workshop, the intelligent "cloud map" updated in real-time on the screen closely connects various production processes. The offline quantity, product quality, and other data indicators are clear at a glance, which not only assists employees in making technical decisions, but also helps upstream and downstream scientific production arrangements. Under the empowerment of the industrial internet, many steel enterprise factories have taken on a new look. On the large screen of Rongcheng Group's smart center big data platform, the production trend, technical indicators, carbon emissions, and other information are clear at a glance. The 'smart brain' can monitor in real-time based on raw material composition and environmental changes, and optimize and adjust the feeding situation at any time. Through refined management and digital control, the company's per ton steel cost has significantly decreased, truly achieving benefits from intelligent manufacturing, "said Chai Shuman, Party Secretary of Tianjin Rongcheng United Steel Group Co., Ltd. Zhang Kunyu, General Manager of Tianjin Zhuolang Information Technology Co., Ltd., said that with the acceleration of industrial digitization process and the increasing degree of enterprise digitization and industrial chain digitization, the efficiency of manufacturing and industrial chain collaboration will be greatly improved, thereby bringing more competitive advantages to enterprises. In the past few years, Zhuolang Technology has helped over 400 mechanical manufacturing enterprises establish data acquisition platforms, AI platforms, and digital twin platforms, helping them improve efficiency by 15% to 30%; By utilizing technologies such as artificial intelligence and big data, we have helped more than 230 casting enterprises automatically calculate ingredient additions, reduce alloy consumption, and reduce enterprise costs by 7% to 22%... Together, the three regions of Beijing, Tianjin, and Hebei are building the Beijing Tianjin Hebei industry
Edit：Hu Sen Ming Responsible editor：Li Xi
Source：XinhuaNet
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