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    (3)在现代制造过程中,信息不仅已成为主宰制造产业的决定性因素,而且还是最活跃的驱动因素。提高制造系统的信息处理能力已成为现代制造科学发展的一个重点。由于制造系统信息组织和结构的多层次性,制造信息的获取、集成与融合呈现出立体性、信息度量的多文性、以及信息组织的多层次性。在制造信息的结构模型、制造信息的一致性约束、传播处理和海量数据的制造知识库管理等方面,都还有待进一步突破。
    (4)各种人工智能工具和计算智能方法在制造中的广泛应用促进了制造智能的发展。一类基于生物进化算法的计算智能工具,在包括调度问题在内的组合优化求解技术领域中,受到越来越普遍的关注,有望在制造中完成组合优化问题时的求解速度和求解精度方面双双突破问题规模的制约。制造智能还表现在:智能调度、智能设计、智能加工、机器人学、智能控制、智能工艺规划、智能诊断等多方面。
        这些问题是当前产品创新的关键理论问题,也是制造由一门技艺上升为一门科学的重要基础性问题。这些问题的重点突破,可以形成产品创新的基础研究体系。
     Abstract : This paper has presented the problems facing today's manufacturing technology, advanced manufacturing discussed in the forefront of science, and a vision for the future development of advanced manufacturing technology.
       Keyword:Advanced manufacturing technologies; Frontier science; Applications prospects
    Modern manufacturing is an important pillar of the national economy and overall national strength and its GDP accounted for a general national GDP 20%~55%. In the composition of a country's business productivity, manufacturing technology around 60% of the general role. Experts believe that the various countries in the world economic competition, mainly manufacturing technology competition. Their competitiveness in the production of the final product market share. With the rapid economic and technological development and customer needs and the changing market environment, this competition is becoming increasingly fierce, and that Governments attach great importance to the advanced manufacturing technology research.   
       1 .Current manufacturing science to solve problems
    Manufacturing science to solve the current problems focused on the following aspects :
    (1) Manufacturing systems is a complex systems, and manufacturing systems to meet both agility, rapid response and rapid reorganization of the capacity to learn from the information science, life science and social science interdisciplinary research, and explore new manufacturing system architecture, manufacturing models and manufacturing systems effective operational mechanism. Manufacturing systems optimized organizational structure and good performance is manufacturing system modelling, simulation and optimization of the main objectives. Manufacturing system architecture not only to create new enterprises both agility and responsiveness to the needs and the ability to reorganize significance, but also for the soft production equipment manufacturing enterprises bottom reorganization and dynamic capacity to set higher demands. Biological manufacturing outlook increasingly being introduced to the system to meet new demands manufacturing systems.   
    (2) The rapid rise in support of manufacturing, geometric knowledge sharing has become a modern manufacturing constraints, product development and manufacturing technologies of the key issues. For example, in computer-aided design and manufacturing (CAD/CAM) integration, coordinates measurements (CMM) and robotics fields, in 3D real space (3-Real Space), there are a lot of geometric algorithm design and analysis, especially the geometric said, geometric calculation and geometric reasoning; In measurement and robot path planning and parts search spaces (such as Localization), the existence of space C- interspace (configuration space Configuration Space) geometric calculation and geometric reasoning; Objects in operation (rescue, paying and assembly, etc.) means paying more description and robot planning, campaign planning and assembly operations planning is needed in the types of space (Screw Space) geometric reasoning. Manufacturing process of physical and geometric mechanics phenomenon of scientific research to create a geometric calculation and geometric reasoning, and other aspects of the research topic, the theory pending further breakthrough, the new one door disciplines -- computer geometric are being increasingly broad and in-depth study.  
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