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    基于InGaAs线阵探测器的近红外光谱仪研究

    Research on near infrared spectrometer based on InGaAs linear array detector

    • 摘要: 在近红外光谱波段,反射光谱可用于识别水体、植被和不同的蚀变矿物。利用近红外光谱仪器进行矿物填图是目前地质工作中广泛应用的一项高新技术,对强化科技创新和提升绿色勘察技术装备具有重要意义。为满足野外现场在线分析的需要,文章基于InGaAs线阵探测器,开展了光谱范围950~1650 nm光谱仪的研究,并分析了InGaAs线阵探测器的暗电流组成和温度影响。光谱仪的光学系统采用了凹面光栅分光摄谱方式,省去了聚焦透镜,精简了光路;电子学系统采用CY7C68013A单片机作为核心,采用USB 2.0通讯。光谱分辨率优于6 nm,反射率偏差<0.4%,线性优于0.02,测量速度为20次/s,仪器重量(含电池)为3.5 kg。在太阳光照下对绿叶和土壤样品进行光谱测试,并将测试结果与第三方测试数据对比,光谱仪信号获取良好,仪器具有探测率高、检测速度快和小型化等特点。

       

      Abstract: Near-infrared reflectance spectroscopy enables the identification of water bodies, vegetation, and various altered minerals within the near-infrared spectral region. The utilization of near-infrared spectroscopic instruments for mineral mapping represents an advanced technology widely-adopted in contemporary geological work, demonstrating substantial significance for technological innovation and enhancement of green exploration equipment. This article presents research on a spectrometer operating in the 950–1650 nm spectral range utilizing an InGaAs detector developed to address the requirements for field-based online analysis. The study examines the dark current composition in InGaAs detectors and its temperature dependence. The spectrometer’s optical system implements a concave grating spectrometry method, eliminating the need for focusing lens and simplifying the optical path; The electronic system incorporates a CY7C68013A single-chip computer core with USB 2.0 communication. The instrument achieves a spectral resolution better than 6nm, a reflectivity deviation less than 0.4%, linearity better than 0.02, and measurement speed of 20 measurements per second, while maintaining a weight of 3.5 kg (including battery). Spectral tests conducted on green leaves and soil samples under direct sunlight, compared with third-party test data, demonstrate effective spectral signal acquisition. The instrument exhibits superior characteristics in detection rate, measurement speed and miniaturization.

       

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