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在面临着急剧的能源和原材料消耗的现状,同时还得满足越来越高的客户质量和产品的技术期望,制造业面临着全球的竞争挑战。今后10年,提升国际接受力和竞争力的策略将会推动技术的进步。现代的质量管理方法巧妙的融合了环境管理和能源管理,同时在高等计量通过实现复杂生产系统中高精度的测量任务和基本测量技术推动工业技术发展的制造业组织机构中,这种质量管理方法成为逐渐被开发和完善的主要策略。本文提出了一种在制造业中可应用的先进计量和智能质量管理的战略方法,首先是通过对在两个相距较远的研究实验室里通过接入、协作和运行的校际网络进行建模、生成和实验,这两个实验室分别是位于澳大利亚的Au M-Tu Wien纳米技术实验室和位于阿根廷的UTN-FRBA控制实验室。并定义和探讨了在已满足先进计量和智能质量管理系统战略的应用模型中完成主要目标的关键因素。
Faced with the current situation of drastic energy and raw material consumption, while meeting the increasingly high customer quality and product technical expectations, the manufacturing industry is faced with global competition challenges. In the next 10 years, strategies to enhance international acceptability and competitiveness will promote technological progress. Modern methods of quality management are a clever combination of environmental management and energy management, and in the higher organization of manufacturing organizations that promote the development of industrial technology through the implementation of high-precision measurement tasks and basic measurement techniques in complex production systems, this method of quality management becomes Gradually be developed and improved the main strategy. This paper presents a strategic approach to advanced metering and intelligent quality management that is applicable in manufacturing, starting with intercollegiate networks that are accessed, collaborate, and run in two remote research labs Modeling, Generation and Experimentation. The two laboratories are Au M-Tu Wien Nanotechnology Laboratory in Australia and UTN-FRBA Control Laboratory in Argentina. And defines and explores the key elements of achieving the key objectives in an application model that has met the needs of advanced metering and intelligent quality management system strategies.