Abstract Sensors made of various new materials exhibit high sensitivity and accuracy in detecting volatile organic compounds (VOCs). However, they also demand higher working temperatures to unleash their outstanding performance within a certain temperature range. Furthermore, the fluctuation of ambient temperature throughout the year significantly impacts the heating temperature of the sensors. Conventional commercial sensor modules utilizing constant voltage heating are no longer able to meet the precise temperature control requirements. Therefore, our research team conducted a heat transfer analysis to establish the mathematical relationship between heating temperature and voltage. This was subsequently validated through finite element analysis, leading to the development of a multivariate linear regression model for predicting voltage based on the desired target temperature and ambient temperature. To address this, we proposed an approach to automatically adjust the heating temperature by controlling the heating voltage duty cycle using a microcontroller based on the ambient temperature. As a result, a novel adaptive temperature-controlled sensor module was developed. Experimental tests demonstrated that within the heating temperature range of 263-464°C, the substrate temperature could be controlled with an average error of 4.36%, meeting the precision requirements for sensor heating temperature control. In comparison with the commercial module, the temperature-controlled module exhibited a notable improvement in sensitivity when responding to different ambient temperatures. At 0°C, the average sensitivity enhancement for the MQ3 and MQ7 sensors compared to the commercial module was 12.77% and 31.5%, respectively, and at 40°C, the average enhancements were 5.94% and 19.8%. This sensor module and temperature control method provide theoretical and technical references for the accurate measurement of VOC parameters.
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