Design and research of wireless optical power meter based on IoT big data and physical quantity

Abstract

In response to the problems of low accuracy, high radiation, and high power consumption in industrial UV power detection, the author proposes a design scheme based on a low-power microcontroller MSP430 as the core controller, two UV photoelectric sensors as detectors, and wireless LoRa as the data transmission method. This scheme adopts dual sensors and achieves photoelectric conversion and ambient light filtering through a subtractive amplification circuit. It also uses high-precision programmable AD acquisition chips to achieve controllable amplification of the signal and convert analog signals into digital quantities for transmission to the main controller MSP430. The improved sliding average filtering method is used to perform digital filtering on the collected data and calculate the corresponding power value, data is transmitted to the upper computer for real-time display through wireless Lora. Research and experiments have shown that the dual sensors have a good agreement with the standard values. The difference between the measured values after digital filtering and the standard values is small, and the linearity of digital filtering is good. It can be seen from the two figures that the higher the power value, the higher the lighting temperature. It has been proven that the entire system operates stably, with high accuracy, low power consumption, and can remotely and real-time detect changes in ultraviolet light power. It can be widely used in the field of industrial ultraviolet light detection.