Title: Research on the cross-platform information transmission method of industrial internet of things based on XML technology

Authors: Changhong Zhu; Tianci Pan

Addresses: School of Computer Science and Engineering, Guilin University of Aerospace Technology, No. 2 Jinji Road, Guilin, Guangxi, 541004, China ' Department of Information Engineering, Bowen College of Management, Guilin University of Technology, No. 317, Yanshan Street, Guilin, Guangxi, 541006, China

Abstract: Aiming at problems of large error in data feature extraction and high congestion in the traditional information transmission methods, this paper proposes a cross-platform information transmission method of industrial internet of things based on XML technology. Based on the networked information features of extract, SUM function was used to complete the feature fusion. Then, the XML technology is used to obtain the optimal segmentation of tree, and the fitting training of tree data is carried out to realise the safe storage of information. Then, the information distribution probability is obtained according to the nature of XML file, so as to realise the cross-platform transmission of information. According to the simulation results, it can be seen that the data feature extraction error of this method is at least 2.1%, the sample data transmission time is always lower than 6 s, and the transmission process congestion is low, which fully proves its effectiveness.

Keywords: XML technology; industrial internet; SUM function; cross-platform transmission; distribution probability.

DOI: 10.1504/IJISE.2023.129137

International Journal of Industrial and Systems Engineering, 2023 Vol.43 No.3, pp.317 - 330

Received: 15 Dec 2020
Accepted: 17 Mar 2021
Published online: 22 Feb 2023 *

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