Simultaneous Time Sampling for Heterogenous Multichannel Data Acquisition | ||
| International Journal of Advanced Scientific Research and Innovation | ||
| Volume 4, Issue 2, December 2021, Pages 39-52 PDF (655.75 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/ijasri.2021.246043 | ||
| Author | ||
| Omer Alkelany | ||
| Ph.D. Horus University- Egypt | ||
| Abstract | ||
| Data Acquisition devices play a vital role in our ubiquitous industrial control systems. This is due to the increasing need to gathered data to aid in automatic decision-making process. Heterogenous analog data require various configurations to be able to reconstruct input data properly. Often, a single analog to digital conversion is used per acquisition channel, but most frequently a multi-channel data acquisition device is used with a constant sampling period for all channels. It is obvious that the dedicated analog to digital converter per channel is expensive choice, especially if the converter device is of high speed. Alternatively, a single analog to digital converter is shared by multiple channels. However, sharing such analog to digital conversion device requires the use of a real-time scheduling algorithm. In this paper, we firstly present a survey of current real-time multichannel data acquisition sampling techniques. Then, we utilize synthetic signals with different frequencies to study the Simultaneous Time Sampling problem in multi-channel heterogenous data acquisition systems. This problem causes failure of the schedule, thus lead to data loss, or data corruption. Our aim is to compare the effectiveness of such scheduling techniques in addressing such problem. Then, we conclude with a recommendation for a possible solution that can reduce the failure rate of multi-channel scheduling systems that are used for a single analog to digital conversion device. | ||
| Keywords | ||
| Industrial Control Systems; Analog to Digital conversion; multi-channel heterogenous inputs; Real-time Scheduling algorithm analysis | ||
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