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计算机技术的进步是推动仪器仪表工程发展的主要动力;目前,以人工智能为基础的软件方法为测量系统的设计人员提供了良好的机遇。本文着重探讨智能仪器的新功能及其设计、操作过程中的一般技术问题;由被测量对象的定性、定量模型和仪器本身构成的‘知识级’已经被证明是智能测量系统的最重要特征;同时还分析了知识级的一般结构及其实现方法。
Advances in computer technology are major drivers of instrumentation project development; at present, artificial intelligence-based software methods provide good opportunities for designers of measurement systems. This paper focuses on the new functions of intelligent instruments and the general technical problems in their design and operation. The “knowledge level” formed by the qualitative and quantitative models of the measured objects and the instruments themselves has been proved to be the most important feature of intelligent measurement systems. At the same time, it also analyzes the general structure of knowledge level and its implementation method.