平行测量:复杂测量系统的一个新型理论框架及案例研究

分析了复杂测量系统的溯源研究现状，指出现有的研究已不能满足复杂测量系统的动态化溯源需求，提出了建立人工测量系统的必要性.基于ACP（Artificial societies，computational experiments，and parallel execution）方法建立了平行测量系统的理论框架，通过构建与物理测量系统行为和特性等价的人工测量系统，借助人工测量系统的计算实验，确定测量优化控制策略，引导物理测量系统的运行，并进行评估，实现物理测量系统和人工测量系统的平行执行和平行控制，将物理测量系统溯源至人工测量系统的理论模型上，解决复杂测量系统的溯源问题.并以齿轮在位测量系统为例，对平行齿轮测量系统进行了设计和平行控制研究.

Parallel Measurements: A New Theory and Framework for Complex Measurement System and A Case Study

The necessity of artificial measuring system is presented by analyzing the state of the art on the traceability for complex measuring systems and pointing out the fact that the current studies cannot meet the requirement of dynamic traceability of a complex measurement system. A theoretical framework of parallel measuring system is proposed based on the ACP (Artificial societies, computational experiments, and parallel execution) method. By constructing an artificial measuring system equivalent to physical measuring system in behaviors and characteristics, computational experiments of artificial measuring system are utilized to determine the optimal control strategy and to guide and evaluate the implementation of the physical measuring system, leading to final realization of the parallel execution and parallel control between the physical and the artificial measuring systems. The physical measurement system can be traced back to the theoretical model of manual measurement system to solve the problem of traceability of complex measuring system. Taking an in-site gear measuring system as an example, a parallel gear measuring system is designed and its parallel control is studied.