提高低耦合EMT传感器的信噪比和灵敏度

Zili Zhang;Ziqi Chen;Jianxin Xu;Wuliang Yin
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摘要

电磁层析成像(EMT),也称为磁感应层析成像(MIT),是一种广泛应用于过程工业和生物医学应用的层析成像模式。特别是,这项技术在金属物体成像中发挥着重要作用,因为它可以在感兴趣的区域产生电导率和磁导率分布。EMT系统由线圈阵列、数据采集系统和成像重建计算机组成。线圈用于产生与被调查物体相互作用的电磁场,并测量感应电压。传统上,使用具有足够电感耦合(相当数量的匝数或尺寸)的线圈来实现高灵敏度和良好的SNR性能。然而,这对一些应用造成了限制,例如高温应用和小规模设施。在高温应用中,如在钢或铜生产过程中,由于匝间绝缘材料的击穿,大量匝的线圈更有可能损坏,从而导致测量误差。此外,EMT应用于小规模设施需要尺寸较小的传感器,这导致弱磁耦合和较低的信噪比。为了解决这些问题,本文提出了一种通过设计升压变压器来变换阻抗从而提高传感器信号电平的方法。仿真和实验结果表明,这提高了系统的信噪比和图像稳定性。
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Improving SNR and Sensitivity for Low-Coupling EMT Sensors
Electromagnetic tomography (EMT), also known as magnetic inductance tomography (MIT) is a tomographic modality widely employed in process industry and biomedical applications. In particular, this technique plays an important role in imaging metallic objects since it can produce conductivity and permeability distributions in the region of interest. An EMT system consists of a coil array, a data acquisition system, and an imaging reconstruction computer. Coils are used to generate electromagnetic field which interacts with the objects under investigation and measure the induced voltages. Conventionally, coils with sufficient inductance coupling (considerable number of turns or dimensions) are used to achieve high sensitivity and good SNR performance. However, this poses limitations for some applications, such as high-temperature applications and small-scale facilities. In high-temperature applications such as in steel or copper production processes, coils of the large number of turns are more likely to be damaged due to the breakdown of insulating materials between the turns, resulting in measuring errors. Besides, EMT applied in small-scale facility requires sensors with reduced dimensions, which results in weak magnetic coupling and lower SNR. In order to address these issues, this article proposes a method to transform the impedance and hence increase the sensor signal level through designing boosting transformers. Simulation and experimental results suggest that this increases the system SNR and image stability.
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