Identification of flange specification in real industrial settings with human reasoning assisted by augmented reality

IF 8 1区工程技术 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Advanced Engineering Informatics Pub Date : 2024-10-01 DOI:10.1016/j.aei.2024.102882

Chih-Hsing Chu, Yen-Ru Chen, Shau-Min Chen

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Abstract

Flange is an important component that connects pressure pipes in livelihood and industrial facilities. The specification information for a flange installed a long time ago is often unavailable or was never recorded. Precision measurement for determining the specification requires detaching the flange from connecting pipes, thus interrupting the facility’s operation. Computer vision techniques cannot guarantee reliable results for mounted flanges that are partially occluded or damaged in real environments. This study develops a new solution, augmented reality (AR)-based recognizer of flange specification (ARFS), to overcome these difficulties. This solution combines human spatial reasoning and computational intelligence in AR to distinguish multiple flanges of similar sizes in complex and uncertain on-site situations. We conducted evaluation experiments to design user interfaces for measuring key flange dimensions in AR. A usability test compares the measuring time and accuracy of the solution implemented on a handheld versus a head-mounted display device. Real-world testing confirms that deploying ARFS as a smartphone app provides an economic yet effective tool for smart asset management in the construction and infrastructure industries.

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利用增强现实技术辅助人类推理，识别实际工业环境中的法兰规格

法兰是连接生活和工业设施中压力管道的重要部件。很久以前安装的法兰的规格信息往往无法获得或从未记录。为确定规格而进行的精确测量需要将法兰从连接管道上拆下，从而中断设施的运行。计算机视觉技术无法保证在实际环境中对部分遮挡或损坏的已安装法兰得出可靠的结果。本研究开发了一种新的解决方案，即基于增强现实（AR）的法兰规格识别器（ARFS），以克服这些困难。该解决方案结合了 AR 中的人类空间推理和计算智能，可在复杂和不确定的现场环境中分辨出多个尺寸相似的法兰。我们进行了评估实验，以设计在 AR 中测量关键法兰尺寸的用户界面。可用性测试比较了在手持设备和头戴显示设备上实施的解决方案的测量时间和准确性。实际测试证实，将 ARFS 作为智能手机应用程序部署，可为建筑和基础设施行业的智能资产管理提供经济而有效的工具。

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来源期刊

Advanced Engineering Informatics 工程技术-工程：综合

CiteScore

12.40

自引率

18.20%

发文量

292

审稿时长

45 days

期刊介绍： Advanced Engineering Informatics is an international Journal that solicits research papers with an emphasis on 'knowledge' and 'engineering applications'. The Journal seeks original papers that report progress in applying methods of engineering informatics. These papers should have engineering relevance and help provide a scientific base for more reliable, spontaneous, and creative engineering decision-making. Additionally, papers should demonstrate the science of supporting knowledge-intensive engineering tasks and validate the generality, power, and scalability of new methods through rigorous evaluation, preferably both qualitatively and quantitatively. Abstracting and indexing for Advanced Engineering Informatics include Science Citation Index Expanded, Scopus and INSPEC.