摘要
Abstract
During the 15th Five-Year Plan Period,the empowerment of digital-intelligent technology for the transformation and upgrading of the manufacturing industry undertakes the important mission of breaking the bottlenecks of traditional manufacturing and adapting to the development requirements of new quality productive forces.Three paths provide underlying technical support,model innovation direction and ecological guarantee for manufacturing transformation.First,data-driven all production factors realize the precision of operation management and adaptive iteration;secondly,technology integration empowers manufacturing systems and promotes the intelligent and flexible evolution of production models;thirdly,ecological collaboration reconstructs industrial networks and builds an open and win-win digital value chain ecosystem.The empowerment of digital-intelligent technology for manufacturing transformation not only demonstrates the practical value of solving pain points such as low efficiency of traditional production and weak collaboration capability,but also faces practical obstacles at the basic support layer,technology application layer and organizational ecology layer,which restrict the release of transformation effectiveness.Based on the new development position of the 15th Five-Year Plan,the breakthrough paths include building integrated infrastructure and trusted data spaces to consolidate the foundation of digital transformation,deepening scenario innovation and improving independent and controllable capabilities to focus on the core of value creation,reshaping the talent training model and reforming the organizational management system to stimulate the vitality of endogenous transformation.In this way,the technical advantages of digital-intelligent technology can be better transformed into the practical momentum of high-end,intelligent and green upgrading of the manufacturing industry.关键词
数智技术/制造业/"十五五"时期/新质生产力Key words
digital-intelligent technology/manufacturing industry/the 15th Five-Year Plan Period/new quality productive forces分类
信息技术与安全科学
