A Microstructure-Enhanced Dual-Mode LC Sensor with a PSO-BP Algorithm for Precise Detection of Temperature and Pressure

High-sensitivity flexible wireless passive sensors with multiple parameters sensing capability are highly demanded for industrial production, structural health monitoring, and medical care. In this study, a microstructure-enhanced temperature and pressure dual-mode inductance capacitance (LC) sensor is developed with a particle swarm optimization-back propagation (PSO-BP) algorithm for simultaneous measurement of temperature and pressure. In the device, two interdigital electrodes connected at different parts of an inductor is used to realize dual-mode measurement of pressure and temperature, with reduced volume and cost of the device as well as avoided interaction of the superimposed inductance. The sandpaper-molded polydimethylsiloxane microstructures are employed to enhance the device sensitivity, with six and three times of improvement in temperature and pressure sensitivity, respectively. A PSO-BP neural network suitable for regression analysis of low dimensional small sample data is constructed to achieve the simultaneous measurement of pressure and temperature with an accuracy up to 94%. Furthermore, investigations have proved the promising applications of the dual-mode LC sensor in health monitoring of lithium-ion batteries and detection of plantar pressure for medical care. A microstructure-enhanced dual-mode LC sensor is developed with a particle swarm optimization-back propagation algorithm for precise detection of temperature and pressure. The device demonstrates sensitivities of 386.37 kHz degrees C-1 and -1.10 MHz kPa-1 (0-8 kPa) for temperature and pressure, respectively, showing promising applications in health monitoring of lithium-ion batteries and detection of plantar pressure for medical care. image