创新势能足 产业焕新机
Ren Min Ri Bao Hai Wai Ban·2025-11-04 01:21

Core Insights - The article highlights the rapid advancement of automation and intelligent manufacturing across various industries in China, showcasing the integration of AI and digital technologies into traditional production processes [13]. Group 1: Automation in Manufacturing - Jiangxi Province's Weimei Ceramics Co., Ltd. has achieved fully digital and intelligent production on its automated ceramic production line [1]. - In Anhui Province, CRRC Puzhen Alstom Transportation Systems Co., Ltd. is manufacturing unmanned rail trains, indicating a shift towards autonomous transportation solutions [3]. - A toy manufacturing company in Yongzhou, Hunan Province, is utilizing automated production lines, reflecting the trend of automation in consumer goods manufacturing [11]. Group 2: Intelligent Mining and Resource Management - In Hainan Province, an unmanned mining truck is operating at a granite mining project, which is recognized as the most intelligent "AI + green smart mine" in the region [2]. - Shandong Province's Rongcheng City is accelerating the development of a new energy system that integrates nuclear, wind, and solar resources, indicating a strategic approach to resource management and industrial cultivation [5]. Group 3: Smart Factories and AI Integration - In Fujian Province, Shuangchi Technology's smart factory uses AI to match consumers' foot data with suitable shoe designs, demonstrating the application of AI in personalized manufacturing [7]. - In Heilongjiang Province, AI is employed for quality inspection in the manufacturing process at Harbin Boiler Factory, showcasing the role of AI in enhancing product quality [9]. - The "island-style" lean manufacturing factory by SAIC-GM-Wuling in Liuzhou, Guangxi, represents a breakthrough in traditional assembly line models, emphasizing innovative production methods [9]. Group 4: Industry Transformation and Policy Support - The 20th Central Committee of the Communist Party of China has outlined strategies to optimize traditional industries and foster emerging sectors, aligning with the ongoing trend of intelligent and green industrial transformation [13].