Annual White Papers
聚焦行业前沿议题，提供深度分析与趋势研判Focusing on frontier issues in the field and providing in-depth analysis and trend assessment
White Paper Overview
自2022年起，AIET每年发布一份《智能工程与科技行业发展白皮书》，聚焦智能工程与科技领域的年度核心议题，汇集协会学术委员会、特聘专家及评审团的研究成果与行业洞察。白皮书经协会独立评审专家团审核，确保内容的学术严谨性与前瞻性，已成为业界重要的参考文献。Since 2022, AIET has published one White Paper on the Development of the Intelligent Engineering and Technology Industry each year, focusing on the annual core issues in intelligent engineering and technology and bringing together research outcomes and industry insights from the Association's Academic Committee, appointees, and review panel. Each white paper is reviewed by the Association's independent review expert panel to ensure academic rigor and foresight, and has become an important reference for the field.
每份白皮书涵盖行业趋势分析、技术发展路径、政策环境解读及未来展望等核心板块，为从业者、研究者及决策者提供有价值的参考依据。Each white paper covers core sections such as industry trend analysis, technology development pathways, policy environment interpretation, and future outlook, providing valuable reference for practitioners, researchers, and decision-makers.
本年度白皮书以「通用人工智能时代的工业工程变革」为主题，深入探讨大模型与通用AI技术对传统工业工程体系的重塑效应，分析智能工程从自动化迈向自主化的技术路径与产业转型趋势。This year's white paper is themed "Industrial Engineering Transformation in the Era of General Artificial Intelligence." It deeply examines how large models and general AI technologies are reshaping traditional industrial engineering systems, and analyzes the technological pathways and industrial transformation trends by which intelligent engineering is moving from automation toward autonomy.
分析大语言模型及多模态模型在工业生产调度、供应链优化及工程设计辅助中的应用前景与实际落地案例。Analyzing the application prospects and practical implementation cases of large language models and multimodal models in industrial production scheduling, supply chain optimization, and engineering design assistance.
探讨AI智能体在工业巡检、设备运维及复杂流程管控中的技术架构与部署策略。Exploring the technical architecture and deployment strategies of AI agents in industrial inspection, equipment operation and maintenance, and complex process control.
研究工业数据资产化趋势下的数据治理框架，分析AI系统在关键基础设施中的安全保障机制。Studying data governance frameworks under the trend of industrial data assetization and analyzing security assurance mechanisms for AI systems in critical infrastructure.
追踪主要经济体在AI工业化方面的政策动向与产业投入，评估亚太地区的竞争优势与发展机遇。Tracking policy trends and industrial investment by major economies in AI industrialization, and assessing competitive advantages and development opportunities in the Asia-Pacific region.
本年度白皮书以「智能工程的融合创新与可持续发展」为主题，重点关注人工智能与工业系统的深度融合趋势，探讨智能制造在绿色转型背景下的技术路径与产业实践。This year's white paper is themed "Integrated Innovation and Sustainable Development of Intelligent Engineering." It focuses on the deep integration trend between artificial intelligence and industrial systems, and explores the technological pathways and industrial practices of intelligent manufacturing in the context of green transformation.
分析大模型技术在工业场景中的应用现状与落地挑战，梳理从实验室到产线的关键技术路径。Analyzing the current application status and implementation challenges of large-model technologies in industrial scenarios, and outlining key technological pathways from the laboratory to the production line.
探讨碳中和目标下智能制造的可持续发展模式，评估能效优化技术的产业化进展。Exploring sustainable development models for intelligent manufacturing under carbon neutrality goals and evaluating industrialization progress in energy efficiency optimization technologies.
研究数字孪生技术在复杂工程系统中的应用前景，分析多系统协同的技术标准与实现方案。Studying the application prospects of digital twin technology in complex engineering systems and analyzing technical standards and implementation solutions for multi-system collaboration.
聚焦亚太地区智能工程产业发展态势，对比分析主要经济体的技术投入与政策方向。Focusing on intelligent engineering industry development trends in the Asia-Pacific region and comparing the technology investment and policy directions of major economies.
本年度白皮书以「工业物联网的规模化部署与安全挑战」为主题，系统梳理了工业物联网在制造业、能源及基础设施领域的大规模部署经验，重点分析了数据安全、系统互操作性及边缘计算等关键议题。This year's white paper is themed "Large-Scale Deployment and Security Challenges of Industrial IoT." It systematically reviews large-scale deployment experience of industrial IoT in manufacturing, energy, and infrastructure, and focuses on key issues such as data security, system interoperability, and edge computing.
本年度白皮书以「智能系统工程的跨学科融合」为主题，探讨了人工智能、机器人学、控制工程及数据科学在复杂系统工程中的交叉应用。报告特别关注了跨学科人才培养模式及产学研协同创新机制。This year's white paper is themed "Interdisciplinary Integration of Intelligent Systems Engineering." It explores cross-applications of artificial intelligence, robotics, control engineering, and data science in complex systems engineering. The report pays particular attention to interdisciplinary talent development models and collaborative innovation mechanisms among industry, academia, and research.
协会首份年度白皮书以「智能制造与工业物联网」为双核心议题，系统梳理了智能制造领域的技术发展脉络与工业物联网的产业应用现状。作为协会学术成果产出的开篇之作，本报告奠定了后续年度白皮书的体例框架与学术标准。The Association's first annual white paper used "Intelligent Manufacturing and Industrial IoT" as dual core topics. It systematically reviewed the technological development trajectory of intelligent manufacturing and the current state of industrial IoT applications. As the opening work of the Association's academic output, this report established the structural framework and academic standards for subsequent annual white papers.
Editorial Framework
每年度白皮书由协会学术委员会统筹规划选题方向，邀请相关领域特聘专家参与撰写，确保内容的专业深度与行业代表性。Each annual white paper is planned by the Association's Academic Committee, which coordinates topic direction and invites appointees in relevant fields to participate in writing, ensuring professional depth and industry representativeness.
白皮书初稿完成后，经独立评审专家团进行学术质量审核，确保数据引用的准确性、分析逻辑的严谨性及结论的客观性。After the draft white paper is completed, it undergoes academic quality review by an independent review expert panel to ensure the accuracy of data citation, rigor of analytical logic, and objectivity of conclusions.
通过协会官方渠道向公众发布并永久存档，业界机构及研究者可通过协会申请获取完整版本。The white papers are released to the public through official Association channels and permanently archived. Industry institutions and researchers may apply to the Association for the full version.
查看协会认定的优秀课题研究成果View outstanding research outcomes recognized by the Association