围绕智能制造场景梳理人工智能技术应用 苏州单位参编全国首部“指南”

Core Insights - The "Artificial Intelligence Technology Application Reference Guide for the Manufacturing Sector in Jiangsu Province (2025 Edition)" has been released, marking the first national guideline focused on AI applications in intelligent manufacturing scenarios [1] - The guide is developed by the East China Branch of the China Electronic Technology Standardization Institute, leveraging its expertise in standard formulation and evaluation for intelligent manufacturing [1] - The guide outlines a systematic approach to AI applications in manufacturing, categorized into four implementation stages: "Entry Level," "Basic Level," "Advanced Level," and "Forward-looking Level," covering the entire lifecycle of manufacturing from single-point applications to system-wide optimization [1][2] Implementation Framework - The "Entry Level" section focuses on initial AI applications, proposing 9 typical scenarios that utilize perception and recognition technologies to assist human operations in areas such as warehouse management and quality inspection, thereby strengthening the digital foundation of enterprises [2] - The "Basic Level" targets enterprises with some automation capabilities, presenting 20 scenarios aimed at enhancing cross-link efficiency in factory planning and supply chain collaboration through technologies like digital twins and knowledge graphs [2] - The "Advanced Level" is designed for leading enterprises, offering 31 scenarios that promote intelligent collaboration and autonomous decision-making across all processes, aiming for self-evolving and self-optimizing production systems [2] - The "Forward-looking Level" introduces the concept of "Industrial Intelligence," exploring future manufacturing systems with autonomous perception, analysis, decision-making, and execution capabilities, facilitating the transition from "intelligent" to "autonomous" manufacturing [2] Future Directions - The East China Branch of the China Electronic Technology Standardization Institute plans to accelerate the research and construction of an "AI Factory" evaluation system, aiming to establish scalable technical pathways and standards to support the intelligent transformation of manufacturing across the province and the nation [2]