Title: Research on multi-channel data acquisition system of production index information based on genetic algorithm

Authors: Yilun Zhang

Addresses: School of Civil and Environmental Engineering, Harbin Institute of Technology, Shenzhen Campus, 518055, China

Abstract: The multi-channel data acquisition system is the key link of the industrial computer tomography (ICT) in image processing. How to realise the real-time data acquisition and storage of these huge data content has become an urgent problem for ICT. Based on this, a multi-channel data acquisition system of production index information based on genetic algorithm is proposed. This paper introduces the design of the basic structure of the multi-channel data acquisition system of production index information, expounds the hardware design and software design of the multi-channel data acquisition system, and gives the design and implementation scheme of the system. It is confirmed by experiments that the multi-channel data acquisition system based on genetic algorithm designed in this paper has high acquisition accuracy. It is particularly excellent, especially in the same sampling rate, compared with the traditional multi-channel data acquisition system of production index information. Through further analysis, it is found that the trigger mode of the multi-channel data acquisition system based on genetic algorithm can significantly reduce the loss rate of hardware resources compared with the traditional multi-channel data acquisition system.

Keywords: genetic algorithm; production index information; multi-channel; data acquisition.

DOI: 10.1504/IJICT.2022.121778

International Journal of Information and Communication Technology, 2022 Vol.20 No.3, pp.245 - 257

Received: 22 Jul 2020
Accepted: 15 Aug 2020

Published online: 07 Apr 2022 *

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