中国工程科学2024，Vol.26Issue(1)：225-238,14.DOI:10.15302/J-SSCAE-2024.01.019
智能制造人机协同技术哲学知识论研究
Philosophical Epistemological Study of Human-Machine Collaborative Technology in Intelligent Manufacturing
摘要
Abstract
Intelligent manufacturing is a systematic engineering and technological innovation that propels the transformation and upgrading of China's manufacturing industry,enhancing industrial competitiveness.It is a pivotal element in strengthening the manufacturing sector of China.The comprehensive and profound advancement of intelligent manufacturing necessitates adherence to ideological innovation,requiring the formulation of a scientifically grounded development strategy from its philosophical roots.This paper,based on the phenomenological reductionism and ontological perspective method,starts from the perspective of the philosophy of technology,integrates systemic dialectical logical reasoning,investigates and identifies the"hard problems"of human-machine collaborative technology in intelligent manufacturing,and insightfully explores its philosophical essence from the standpoint of the philosophy of scientific epistemology.The research findings indicate that explicit knowledge and tacit knowledge are commonly present in manufacturing technology activities.However,the long-standing technological development has overlooked the significance of tacit knowledge and has made an unreasonable assumption about the existence of"rational people"in human subjects,neglecting their crucial role in manufacturing systems.Therefore,this paper,through ontological reflection,proposes a Cartesian intelligent manufacturing technology development path based on the Internet of Things,Internet of Contents&Knowledge,and Internet of Bodies.Building upon this foundation,it establishes a Heideggerian intelligent manufacturing system architecture grounded in behavior-oriented,deictic representations,and embodied embedding.Through this traceable causal analysis,it constructs a three-stage progressive development knowledge paradigm for resolving the"hard problems"of human-machine collaborative technology.This paradigm is characterized by data-driven,functional representation,and embodied integration.To efficiently promote the development of the new-generation intelligent manufacturing,a knowledge engineering classification assessment system can be established.The application of theoretical cognitive models can drive the resolution of technological challenges and the formulation of industry support policies.Establishing a multi-faceted application-oriented intelligent manufacturing public service platform strengthens knowledge circulation and integrated application.关键词
智能制造/人机协同技术/技术哲学/知识论/知识范式Key words
intelligent manufacturing/human-machine collaborative technology/philosophy of technology/epistemology/knowledge paradigm分类
社会科学引用本文复制引用
瞿浩翔,徐江,孙守迁..智能制造人机协同技术哲学知识论研究[J].中国工程科学,2024,26(1):225-238,14.基金项目
国家重点研发计划项目(2022YFB3303300) （2022YFB3303300）
中国工程院咨询项目"新兴产业发展战略研究(2035)"(2018-ZD-12),"数智时代江西加快创新设计产业发展策略研究"(2022-03JXZT-05) National Key R&D Program of China(2022YFB3303 300) （2035）
Chinese Academy of Engineering project"Research on the Development Strategy of Emerging Industries(2035)"(2018-ZD-12),"Research on the Development Strategy of Jiangxi's Innovative Design Industry in the Age of Digital Intelligence"(2022-03JXZT-05) （2035）
