工业化学形态层析成像的高性价比准并行传感装置
Cost-Effective Quasi-Parallel Sensing Instrumentation for Industrial Chemical Species Tomography
摘要：
化学物种层析成像技术（CST）已广泛应用于工业过程中关键气相参数的成像。为了获得高保真图像，CST通常通过来自多个激光束的视线波长调制光谱（WMS）测量来实现。每个激光束上的调制传输信号需要a）由高速模数转换器（ADC）数字化; b）由数字锁定（DLI）模块解调;以及c）传送到高级处理器以进行图像重建。尽管完全并行的数据采集（DAQ）和信号处理系统可以实现具有最大化的时间响应的这些功能，但是其导致高度复杂、昂贵且功耗大的仪器系统，该仪器系统由于单独的电子器件而具有采样光束之间的不一致的高可能性。此外，并行采样的大量光谱数据显著加重了工业应用中的通信过程，其中原位信号数字化远离高级数据处理。为了解决这些问题，为工业CST开发了准并行感测技术和电子电路，其中多光束传输信号的数字化和解调在波长扫描内的高频调制上被复用。我们的发展不仅保持了时间响应的完全并行的传感方案，但也有利于具有成本效益的实施工业CST非常低的复杂性和减少数据传输的负载。所提出的技术是分析证明，噪声污染的CST模拟数值研究，并使用实验室规模的CST系统与32激光束的实验验证。
英文摘要：
Chemical Species Tomography (CST) has been widely applied for imaging of critical gas-phase parameters in industrial processes. To acquire high-fidelity images, CST is typically implemented by line-of-sight Wavelength Modulation Spectroscopy (WMS) measurements from multiple laser beams. The modulated transmission signal on each laser beam needs to be a) digitised by a high-speed analogue-to-digital converter (ADC); b) demodulated by a digital lock-in (DLI) module; and c) transferred to high-level processor for image reconstruction. Although a fully parallel data acquisition (DAQ) and signal processing system can achieve these functionalities with maximised temporal response, it leads to a highly complex, expensive and power-consuming instrumentation system with high potential for inconsistency between the sampled beams due to the electronics alone. In addition, the huge amount of spectral data sampled in parallel significantly burdens the communication process in industrial applications where in situ signal digitisation is distanced from the high-level data processing. To address these issues, a quasi-parallel sensing technique and electronic circuits were developed for industrial CST, in which the digitisation and demodulation of the multi-beam transmission signals are multiplexed over the high-frequency modulation within a wavelength scan. Our development not only maintains the temporal response of the fully parallel sensing scheme, but also facilitates the cost-effective implementation of industrial CST with very low complexity and reduced load on data transfer. The proposed technique is analytically proven, numerically examined by noise-contaminated CST simulations, and experimentally validated using a lab-scale CST system with 32 laser beams.
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