Temperature sensor research as a part of a microprocessor system by statistical analysis methods

The paper considers the solution of the scientific and practical problem of assessing the accuracy and stability of the sensors working as part of the microprocessor control system for the parameters of the microclimate of an artificial ecosystem by using statistical methods for analyzing measurement results using the example of a temperature sensor. The importance of this task lies in the fact that the organization of accurate control of the parameters of the microclimate will ensure optimal climatic conditions for the development of plants and fish, and create an environment as similar as possible to the natural one by timely control of parameters and a quick reaction to the output of parameters at critical values. For the analysis, three series of measurement results of the control indicator (water temperature) were used. The analysis confirmed the hypothesis that there are no violations of the stability of the temperature sensor, which makes it possible to recognize the metrological sensor as reliable. It is proved that the problems of increasing the likelihood of controlling objects with stochastic parameters, and controlling their metrological reliability are relevant and are important for the development of the theory and practice of non-dismantling control.