Abstract
The use of a personal computer together with a Data Acquisition System (DAQ) as the processing tool in optical tomography systems has been the norm ever since the beginning of process tomography. However, advancements in silicon fabrication technology allow nowadays the fabrication of powerful Digital Signal Processors (DSP) at a reasonable cost. This allows this technology to be used in an optical tomography system since data acquisition and processing can be performed within the DSP. Thus, the dependency on a personal computer and a DAQ to sample and process the external signals can be reduced or even eliminated. The DSP system was customized to control the data acquisition process of 16x16 optical sensor array, arranged in parallel beam projection. The data collected was used to reconstruct the cross sectional image of the pipeline conveyor. For image display purposes, the reconstructed image was sent to a personal computer via serial communication. This allows the use of a laptop to display the tomogram image besides performing any other offline analysis.
Highlights
Optical tomography involves the use of non-invasive optical sensors to obtain vital information in order to produce images of the dynamic internal characteristics of process system [4]
A typical optical tomography system usually uses a Data Acquisition System (DAQ) to perform data acquisition tasks and a host computer to carry out image reconstruction
This paper discusses the implementation of Digital Signal Processors (DSP) as the core processor in a parallel beam projection optical tomography system
Summary
Optical tomography involves the use of non-invasive optical sensors to obtain vital information in order to produce images of the dynamic internal characteristics of process system [4]. Chan [2] followed up and investigated mass flow rate measurement using optical tomography by relating the flow's concentration profile measurement with its mass flow rate This method first performs calibration by recording the flow's concentration percentage plotted against mass flow rate measured using weight scale and stop watch. Based on their findings, the two variables had linear relation in light flow condition. In 2003, Pang [7] implemented real time system for solid-gas flow concentration, flow velocity and mass flow rate measurement using optical tomography and data distribution system. The obtained data from masking layer were used for comparison to predetermined threshold values Using this method, valuable time was utilized for analogue to digital conversions.
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