宁波卓越级智能工厂：5G+AI成就家电行业智能化转型新标杆

Core Viewpoint - The collaboration between Zhejiang Mobile and Bull Group has led to the establishment of a smart factory that exemplifies the transformation of the home appliance industry through advanced technologies such as 5G and AI, achieving significant efficiency and productivity improvements. Group 1: Smart Factory Features - The smart factory covers over 300,000 square meters and utilizes an "industrial neural network" for automated production processes, achieving a unit production per hour (UPPH) that is seven times the industry average [1][8] - The factory has implemented a fully automated production line that produces one electrical connection product every two seconds, significantly enhancing production efficiency [8] - The integration of AI technology allows for real-time monitoring and identification of safety hazards, reducing safety incidents by 80% and improving hazard elimination rates by over 90% [9] Group 2: Technological Infrastructure - The factory operates on a 5G private network with a stability rate of 99.99%, ensuring seamless data transmission and operational continuity [4][6] - The deployment of over 1,100 terminals and edge computing nodes supports cross-regional production coordination, enhancing the overall manufacturing process [4][6] - The use of passive IoT technology allows for real-time tracking and management of tools, reducing management costs by over 2 million yuan annually [6] Group 3: Industry Impact and Recognition - Bull Group's smart factory has been recognized as a benchmark for intelligent transformation in the home appliance sector, being selected for the Ministry of Industry and Information Technology's list of exemplary smart factory projects for 2025 [1][10] - The collaboration has resulted in a replicable model for the discrete manufacturing industry, focusing on technology reuse, quantifiable benefits, and scalable transformation solutions [10][11] - The initiative has attracted interest from nearly 100 manufacturing enterprises, showcasing the potential for widespread adoption of smart manufacturing practices [10]