论文标题
具有成本效益的工业化学物种层析成像的准级平行传感仪器
Cost-Effective Quasi-Parallel Sensing Instrumentation for Industrial Chemical Species Tomography
论文作者
论文摘要
化学物种断层扫描(CST)已被广泛应用于工业过程中关键气相参数的成像。为了获取高保真图像,CST通常通过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必须为a)由高速模数转换器(ADC)数字化; b)由数字锁定(DLI)模块解码; c)转移到高级处理器进行图像重建。尽管完全平行的数据采集(DAQ)和信号处理系统可以通过最大化的时间响应来实现这些功能,但它导致高度复杂,昂贵且功率消耗的仪器系统,仅由于电子设备而引起的采样光束之间的不一致可能性。此外,在与高级数据处理相距遥远的工业应用中,并行的大量光谱数据显着承受着工业应用中的通信过程。为了解决这些问题,为工业CST开发了准平行的传感技术和电子电路,其中多光束传输信号的数字化和解调在波长扫描中的高频调制上多路复用。我们的发展不仅保持了完全平行的感应方案的时间响应,而且还促进了具有非常低的复杂性和数据传输负载减少的工业CST的成本效益实施。该提出的技术经过分析证明,通过污染污染的CST模拟进行数值检查,并使用具有32个激光束的实验室尺度CST系统进行了实验验证。
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.