新质引擎丨看智能制造如何“挑大梁”

Core Viewpoint - The construction of major transportation infrastructure projects in China is progressing smoothly during the 14th Five-Year Plan period, with a particular emphasis on bridge construction, where intelligent technology is significantly enhancing manufacturing efficiency and quality [1]. Group 1: Intelligent Manufacturing in Bridge Construction - The Ma City beam factory in Hubei Province utilizes an AI intelligent management system to achieve comprehensive intelligent control over production, personnel, quality, safety, technology, equipment, processes, and materials [2]. - The intelligent management system improves temperature monitoring during concrete pouring, allowing for real-time data collection and analysis, which helps maintain quality standards [3]. - The factory has achieved a 90% connectivity rate for key equipment, reducing the time to produce a box beam by 42 hours and the number of workers required from 120 to 77 [3]. Group 2: Advanced Equipment Utilization - The introduction of intelligent equipment, such as robotic arms and smart CNC bending machines, has improved production efficiency by over 30% while ensuring precision in steel reinforcement processing [4]. - The use of integrated robotic systems for concrete surface treatment has streamlined operations, significantly enhancing efficiency compared to traditional methods [5]. - The Ma City beam factory has over 40 sets of intelligent equipment, with more than 80% of construction equipment being automated and intelligent [5]. Group 3: Green and Low-Carbon Transformation - The factory employs intelligent temperature and humidity control systems to optimize concrete curing, reducing water usage by 16 cubic meters per single beam compared to traditional methods [6][7]. - Wastewater generated during production is recycled and treated for reuse, achieving zero wastewater discharge [7]. - Overall, the implementation of advanced intelligent equipment and systems has led to a 30% increase in production efficiency, a 25% improvement in product quality, and a 10% reduction in overall energy consumption [7].