The article describes digital and analogue methods for linearising the conversion function of thermoresistive transducers, with a detailed analysis of analogue methods. Analogue methods for linearising bridge circuits and measurement circuits based on passing a reference current through a resistance temperature detector (RTD) are considered. Linearisation of bridge circuits is based on the formation of the compensatingsupply voltage of the bridge circuit, which depends on the change in the measured temperature. When using the measurement method based on passing a reference current through an RTD, nonlinearity compensation is achieved by changing the conversion coefficient of the measuring signal or passing an additional current through the RTD, which linearly depends on the value of the RTD’s voltage change (measured temperature value). When passing an additional compensation current through the RTD, the nonlinearity error is not grater than0.1°C in the range of 0...800°C, and the schematic diagram of the measuring transducer contains a minimum number of elements, which allows to increase its reliability. In general, the choice of a linearisation method depends on the requirements for accuracy, operation rateand resource limitations of the measuring system.

This publication investigates the influence of external factors on the readings of heat flow sensors located at different distances from the heat source. ARIMA models with Gaussian distributions and t-distribution were used for the analysis, as well as Quantile-Quantile plots to assess the appropriateness of the distribution of model residuals. It was found that the influence of external factors varies significantly depending on the distance of the sensor to the heat source, which is confirmed by the results of the analysis. Sensors located closer to the heat source showed greater sensitivity to environmental changes, while sensors at a greater distance showed more stable readings. The obtained results emphasize the importance of taking into account external factors during the placement and operation of heat flow sensors to ensure maximum measurement accuracy.

This paper presents the results of a study on modified transimpedance amplifier circuits aimed at expanding their functionality. Using SPICE simulations, the impact of varying reference voltages on the output signal of the amplifiers was analyzed, allowing for the isolation and quantitative evaluation of the contributions of the photodiode and photo resistive conversion mechanisms. The results demonstrate that the proposed modifications enable the acquisition of informative signals carrying information about the photodiode and photoresistive components of the photocurrent. Additionally, it was found that the modifications affect the stability of transient processes and the impedance characteristics of the amplifiers. Based on the conducted research, a method for in-situ diagnostics of organic structures with the selection of the photodiode and photoresistive components of organic photostructures has been developed.

The article presents a method of implementing a functionally integrated device for temperature measurement, which allows for controlled heating of the primary temperature transducer, measurement of the heating temperature as well as the temperature and differential temperature of the investigated and reference samples. The heating speed is regulated by the selection of the frequency and duration of the control impulses. To measure the temperature and temperature difference, it is proposed to use measuring currents of different polarity, which make it possible to simplify the device design. The methods of linearisation of the conversion function of primary temperature transducer based on the formation of compensating currents in given measurement ranges have been investigated. The conducted studies showed that the temperature measurement error does not exceed 0.11°C and 0.005°C in the control heating mode and in the temperature measurement mode, respectively. The temperature measurement error of the investigated and reference samples and the differential temperature measurement error does not exceed ±0.003°C and 0.001°C, respectively.

Abstract. An important requirement for up-to-day sensor devices is minimization their power consumption. An effective method of reducing power consumption is cyclic switching of signal chains of sensor devices between active mode and sleep mode. There are two main algorithms for automatic Wake-up transition between these modes – based on the duration of the measurement process and based on the signal level. This study
demonstrates the possibility of optimizing pulse power supply modes in energy-efficient sensor devices using the Wake-up transition algorithm with a software-controlled duration of the measurement process. The implementation of signal circuits of such energy-efficient sensor devices is based on the Programmable System on a Chip (PSoC). Criteria for selecting the optimal duration of power pulses are presented. The optimization
methodology is based on parametric analysis of the dependence of dynamic characteristics of signal circuits on the amplitude of power pulses. In the process of such parametric analysis, the results from both experimental and model studies are used.