Use of dispersion analysis in building a model of factor influence on the result of remote thermal control of biological objects
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Abstract
The solution to the scientific and practical problem of using dispersion analysis to build a model of factor influence on the result of remote thermal control of biological objects is considered. A model of the effect on the result of measuring the temperature of a biological object of four factors that negatively affect the accuracy of temperature measurement is presented, namely: air temperature, air dustiness, global radiation brightness, air humidity. The scheme of action of the specified factors is considered. In practice, it is not always possible to measure the temperature of a person or an animal by means of non-contact control by choosing a place in advance in which the influence of factors that negatively affect the accuracy of temperature measurement is not manifested during the measurement process. Therefore, it is necessary to develop a factor influence model that will take into account the most important factors that negatively affect the measurement result. This can be done using variance analysis. It was concluded that the obtained results enable further improvement of the methods of processing the results of non-contact temperature measurement of biological objects. Prospects for further research of the developed model are presented, namely, that it is possible to obtain an equation for evaluating the reliability of statistical conclusions about the informational significance of temperature control indicators; obtaining analytical ratios that will make it possible to estimate the amount of information for each of the temperature control indicators under the factorial influence on the transformation function of these indicators in order to rank the temperature control indicators according to the decrease in their sensitivity to changes in the temperature control parameter levels.
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