智能设备系统对机械值测量结果的处理(不确定度条件)

V. Kvasnikov, A. Perederko, L. Kuzmich, V. Kotetunov
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摘要

这篇文章专门讨论力学量的测量。所提出的方法是针对系统的智能设备的机械值(在不确定的条件下)。在智能系统发展的现阶段,创造快速处理所获得结果的方法,实时确定其测量的准确性,特别是在解决管理问题和在不确定情况下做出决策的问题仍然是一个问题。机械量的测量结果,特别是智能仪器系统(IPS)的热能成本,是完整的,只要它伴随着对其精度的估计。测量结果的处理精度取决于测量的类型、实验数据的数量、测量的精度要求等。只有在直接的一次性测量中,研究的结果才可能是测量的结果(前提是测量的系统误差没有得到纠正)。在其他测量中,处理可以使用标准化技术(例如统计方法),或者需要创建特殊算法。一般来说,处理包括以下步骤[2,3,4]:对观测结果(初步测量)进行初步分析,对明显错误的结果进行系统化排除;系统效应影响的修正(测量条件的研究、计算和修正);分析随机效应的影响,检验关于其分布的假设,选择所需值的最佳估计;评价一种数值算法的精度特点,其稳定性;按照所选算法执行计算;结果分析;以适当形式提交测量结果及其精度特征。每一种类型的测量都有自己的特点,因此这些操作的具体内容对特定类型的测量结果的处理有一定的差异。通过智能仪器系统处理机械量测量结果的方法,特别是在不确定度下测量精度的估计,得到了证实。
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Processing of Measurement Results for Mechanical Values by Intellectual Equipment Systems (Uncertainty Conditions)
This article is devoted to the measurement of mechanical quantities. The proposed methods are directed to the mechanical values of the intellectual devices of the system (in conditions of uncertainty). At the present stage of the development of intellectual systems, the issue of creating methods for rapid processing of the obtained results, determining the accuracy of their measurement in real time, in particular in solving management problems and making decisions under uncertainty, remains an issue. The result of the measurement of mechanical quantities, in particular the cost of thermal energy by intelligent instrumentation systems (IPS), is complete, provided that it is accompanied by an estimate of its accuracy [1]. The processing accuracy of the measurement results depends on the type of measurement, the number of experimental data, the accuracy requirements of the measurement, and so on. Only during direct one-time measurements the result of the study may be the result of the measurement (provided that the systematic errors of measurement are not corrected). In other measurements, processing can be done using standardized techniques (eg statistical methods), or require the creation of special algorithms. In general, the processing involves the following steps [2, 3, 4]: preliminary analysis of the results of observations (primary measurements), their systematization of the rejection of obviously false results; Correction of the influence of systematic effects (study of mea­surement conditions, calculation and amendment); analysis of the effects of random effects, testing hypotheses about their distribution, selection of the best estimates of the required values; evaluation of the accuracy characteristics of a numerical algorithm, its stability; execution of calculations in accordance with the chosen algorithm; analysis of the results; submission of measurement results and characteristics of their accuracy in the appropriate form. Each type of measurement has its own characteristics and therefore the specific content of these operations of processing the results of a particular type of measurement has certain differences. The approaches to processing the results of measurement of mechanical quantities by intelligent instrumental systems, in particular estimating the accuracy of measurements under uncertainty, are substantiated.
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