Overview of Innovative Trends for Industrial Internet of Things Adoption for Achieving High-Quality Deployment

Journal of Electronics,Computer Networking and Applied Mathematics Pub Date : 2022-08-17 DOI:10.55529/jecnam.25.1.24

Aminu Adamu Ahmed, Jibril Hussein Kawure, Ibrahim Maimunatu Ya’u, B. Adamu, Zakiya Yahaya Shehu

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Abstract

Purpose – The aim of this study is to bring about a comprehensive overview of innovative tends (technologies) employ for IIoTs adoptions for achieving high-quality deployment. Methodology/Approach – This study initially identified 702 different articles from reputable research databases namely Science Direct, Emerald Insight, Wiley Online Library, Google Scholar, IEEE Access and Z Online Library from the years 2018 to June, 2022. A total of 32 articles were selected after undergoing a screening of its titles, keywords, abstracts and contents inclusion and exclusion for rigorous analysis. The data extracted were analysed and presented in form of descriptive statistics (tables, frequency, figures and charts) using Microsoft Excel software. Findings –The results carefully analyse how these trends influence the adoption of IIoTs in the industries. Novelty/value – Being the most growing innovation for industrial internet of things using industry 4.0 technologies have gradually changed the way traditional industries operate.

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采用工业物联网实现高质量部署的创新趋势概述

目的-本研究的目的是全面概述用于工业物联网采用的创新趋势(技术)，以实现高质量的部署。方法/方法-本研究最初从2018年至2022年6月的著名研究数据库(Science Direct, Emerald Insight, Wiley Online Library，谷歌Scholar, IEEE Access和Z Online Library)中确定了702篇不同的文章。经过题目、关键词、摘要、内容的收录与排除等筛选，最终评选出32篇文章。采用Microsoft Excel软件对提取的数据进行分析，并以描述性统计(表格、频次、图形和图表)的形式呈现。调查结果-结果仔细分析了这些趋势如何影响工业物联网在行业中的采用。新颖性/价值——作为工业物联网最具成长性的创新，工业4.0技术逐渐改变了传统工业的运作方式。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Journal of Electronics,Computer Networking and Applied Mathematics

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