Title: Converged communication method of multi-source data about underground equipment based on internet of things

Authors: Shunli Wu; Haoping An; Yan Gao; Jianye Wang; Zhan Su

Addresses: Henan Automation Engineering and Technology Research Centre, Zhengzhou 450008, China ' Henan Automation Engineering and Technology Research Centre, Zhengzhou 450008, China ' Henan Automation Engineering and Technology Research Centre, Zhengzhou 450008, China ' Institute of Applied Physics, Henan Academy of Sciences, Zhengzhou 450008, China ' Henan Automation Engineering and Technology Research Centre, Zhengzhou 450008, China

Abstract: The difference and incompatibility of multi-source data in complex environment lead to high bit error rate and low efficiency in communication of downhole equipment. Therefore, a multi-source data fusion communication method for underground equipment based on internet of things is proposed. Using multi-dimensional information acquisition system, the feature recognition model of multi-source data of underground equipment is established. According to the distribution of boundary mesh objects among clusters, the boundary object set of data distribution is obtained, and the data features are extracted. The balance degree of multi-source data is calculated, and the data is represented in grid form to realise fusion. The communication process is optimised according to the convergence result. Experimental results show that the proposed method has high efficiency (the highest efficiency is 97%) and low bit error rate (the lowest bit error rate is 0), which improves the efficiency of multi-source data fusion of downhole equipment.

Keywords: internet of things; underground equipment; multi-source data; convergence; channel configuration.

DOI: 10.1504/IJICT.2023.128737

International Journal of Information and Communication Technology, 2023 Vol.22 No.2, pp.199 - 211

Received: 30 Dec 2020
Accepted: 05 Feb 2021
Published online: 02 Feb 2023 *

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