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兴发集团李国璋:加快AI技术赋能将成为化工企业提升核心竞争力的关键
Xin Lang Cai Jing·2025-09-28 06:42

Core Insights - The conference titled "Releasing AI Efficiency, Co-creating Growth Paradigms - 2025 Industrial Embodied Intelligence TPT+UCS Application Results Exhibition Conference" was held in Yichang, showcasing the application results of the TPT and UCS systems developed by Zhongkong Technology [2] - Zhongkong Technology is a leading enterprise in China's industrial automation and intelligent manufacturing sector, focusing on innovation and technology to drive the intelligent transformation of process industries and promote green transformation [3] - The collaboration between Xingfa Group and Zhongkong Technology began in 2022, leading to significant advancements in digital transformation and the establishment of model factories in the chemical industry [3][4] Company Developments - Xingfa Group has successfully implemented Zhongkong Technology's advanced intelligent control systems, achieving "unmanned inspection, unmanned operation, and unmanned recording," and was recognized as a "National Intelligent Manufacturing Demonstration Factory" [3] - The 400,000 tons/year organic silicon new materials project in Yichang, utilizing Zhongkong Technology's control systems, has become the first fully integrated intelligent factory for organic silicon in China, significantly enhancing production efficiency [3] - The partnership aims to deepen collaboration in areas such as smart mining, intelligent factory construction, safety and environmental management, and smart supply chain coordination, exploring innovative applications of industrial AI in chemical production [4] Industry Trends - AI is profoundly changing industrial forms, and the integration of AI technology is becoming crucial for chemical companies to enhance their core competitiveness [4] - The conference served as a high-level platform for thought exchange, technical communication, and collaborative opportunities among upstream and downstream enterprises in the industry, aiming to accelerate the deep integration of AI technology with industrial scenarios [4]