具有不变干涉特性的光电信息测量系统

Y. Gatchin, V. Artemyev, V. V. Sukhostat
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引用次数: 0

摘要

构造高精度测量装置的最常用方法之一是基于不变性原理的方法。该原理的本质是利用多个通道(多通道)接收和转换信号,通过对信号求和来实现干扰补偿。在这种情况下,信号的信息特征不受变化的影响。对信号接收路径中产生的随机噪声的不变性原理在具有此类干扰特性的系统中得以实现,对于此类系统而言,仅关于信号和噪声特性的最小信息就足够了。在某些情况下,根本不需要这些信息。这种构造信号接收和信号转换路径的方法称为自适应不变性原理。实现不变性原理的一个例子是具有用于提取信息的光路的信息测量仪器,称为自动工业折射仪。这些装置的工作原理,基于全内反射效应[6]。这些信息测量复合物用于食品化工企业、交通基础设施企业和其他行业的二元混合物溶液浓度测量。本文旨在研究利用现代数据挖掘方法构建具有光路的信息测量系统的可能性,用于信息的提取和转换
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Electrooptical Information-Measuring Systems with Invariant Interference Characteristics
One of the most common methods for constructing high-precision measuring devices are methods based on the use of the invariance principle. The essence of the principle is that the use of several channels (multichannel) of receiving and converting signals by summing them leads to interference compensation. In this case, the signal’s informational features are not subject to change. The principle of invariance to random noise arising in the signal receiving path is implemented in the class of systems with such interference characteristics, for which only minimal information about the signal and noise characteristics is sufficient. In some cases, such information is not needed at all. Such an approach to constructing a signal reception and signal conversion path can be called the principle of adaptive invariance. An example of the implementation of the invariance principle is the class of information measuring instruments with an optical path for extracting information called automatic industrial refractometers. The principle of operation of these devices, based on the effect of total internal reflection [6]. These information measuring complexes are used to measure the concentration of solutions of binary mixtures at food and chemical enterprises, transport infrastructure enterprises and other industries. The article aims to research the possibilities of building information-measuring systems with an optical path for the extraction and transformation of information through the use of modern methods of data mining
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