【劳模工匠助企行·工匠“云师傅”】大国工匠跨省联手“制造攻坚”

Core Viewpoint - The collaboration between the labor model innovation studios of Lei Yutian and Jin Guoping aims to develop a visual intelligent identification system for electric furnaces, marking a significant step towards addressing common industry challenges and promoting high-quality development in enterprises [1][2]. Group 1: Project Overview - The project focuses on the development of a "visual intelligent identification system" for electric furnaces, which has completed preliminary verification and detailed design, now entering the equipment manufacturing phase [1][5]. - This initiative is part of the national trade union's "Labor Model Craftsman Assist Enterprises" campaign, highlighting cross-regional collaboration between skilled workers from Shanghai and Suzhou [1][2]. Group 2: Industry Context - Electric furnace steelmaking is recognized as a crucial pathway for low-carbon steel production, gaining momentum under the national "dual carbon" strategy [2]. - The electric furnace process has historically faced challenges due to its "black box" nature, with extreme conditions making it difficult for operators to monitor and control effectively [2]. Group 3: Technical Challenges - The project team must overcome three major technical challenges: the extreme environment of high temperatures and dust, the difficulty in accurately defining observation ranges, and stringent installation conditions that must not disrupt normal production [3]. Group 4: Innovative Solutions - The project has introduced a "flexible design" concept, allowing the new observational equipment to adjust its range and angle, akin to the flexibility of human vision [4]. - This shift in design philosophy represents a significant breakthrough, moving from "adapting equipment to the environment" to "adapting equipment to changes" [5]. Group 5: Expected Impact - The system is expected to provide six core functions, including real-time monitoring, intelligent flame recognition, online tracking of molten steel levels, and evaluation of refractory material status, thus supporting the full-process intelligence of electric furnace steelmaking [6]. - Successful implementation of this technology could lead to substantial energy cost savings, estimated in the hundreds of thousands of yuan annually per electric furnace, and contribute to the green and intelligent transformation of the steel industry [6].