Ren Min Wang·2025-09-26 04:26Core Insights - The article highlights the advancements in intelligent manufacturing at CIMC's Qingdao Cold Chain Manufacturing Company, focusing on the integration of IoT and machine learning to enhance production efficiency and quality control [1][2][4] Group 1: Manufacturing Process Improvements - The production time for a refrigerated container has been reduced to 220 seconds due to the implementation of advanced foaming technology and real-time data monitoring [1][2] - The use of sensors and IoT devices allows for the collection of critical parameters during the foaming process, leading to improved accuracy and efficiency [1][2] - The amount of foaming liquid used has decreased from 126 kg to 116 kg per top plate, resulting in an 8% reduction in material costs [2] Group 2: Efficiency Gains - The pressure holding time has been reduced from 35 minutes to 28 minutes, achieving a cumulative efficiency improvement of 20% [2] - Labor efficiency has improved significantly, with the manpower required per unit dropping from 9 man-days to 4.5 man-days [2] - Production capacity has increased from 240 units to 300 units per day, demonstrating a substantial enhancement in operational output [2] Group 3: Digital Transformation and Smart Manufacturing - CIMC is actively pursuing digital transformation and smart manufacturing as part of its "14th Five-Year Plan," focusing on integrating new technologies into its manufacturing processes [2][4] - The establishment of a digital twin platform in the painting workshop allows for real-time monitoring and optimization of production processes [2][3] - CIMC has developed 25 provincial-level and 3 national-level smart manufacturing factories, showcasing its leadership in the industrial internet and smart manufacturing sectors [4]