物联网光谱分析技术的兴起，推动近红外光谱传感器向着微型化、数字化和智能化方向发展。针对InGaAs焦平面数字化、智能化的发展需求，研究InGaAs光谱组件输出数字化方案。设计一种集成自研ADC的数字化光谱传感电路，并研制了新型微型近红外光谱节点。该节点内部集成202个有效光谱通道，波长范围为900~1 700 nm，光谱分辨率优于16 nm，波长准确性小于1 nm，波长重复性优于0.3 nm，节点系统信噪比约为500:1，帧扫描时间约3 ms。研究结果表明：该微型物联网光谱节点满足近红外光谱分析实际应用需求，为传感器片上数字化输出发展和近红外光谱分析物联网应用提供技术支持。

The rise of the Internet of Things (IOT) spectral analysis technology has driven the development of near infrared spectroscopy sensors toward miniaturization, digitization and intelligence. A specific digitization research on InGaAs spectral sensor was reported to meet the digital and intelligent development of InGaAs focal plane Arrays (FPA). A new compact near infrared spectral node was developed integratedly with digital output spectral sensor circuit using self-developed analog to digital convertor (ADC) chip. The proposed node integrated 202 effective spectral channels with a wavelength range of 900 nm to 1 700 nm and a spectral resolution better than 16 nm. The wavelength accuracy and repeatability was less than 1 nm and 0.3 nm, respectively. The signal to noise ratio (SNR) of node system was about 500:1, and the frame scanning time was about 3 ms. The research results show that the compact IOT spectral node meets the practical application requirements of near infrared spectral analysis, and provides technical supports for the sensor on-chip digitization and IOT near infrared spectral analysis applications.