AR测量扫描仪移动应用程序

Abdulrahman Althobaiti, Fadl Abdellatif, A. Alrasheed, H. Trigui, A. Alsaadi, Sahejad Patel
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引用次数: 0

摘要

本文展示了一个由增强现实(AR)和人工智能(AI)等工业4.0技术驱动的创新移动应用程序。该应用程序的目的是实现模拟仪表的数字化转换,数字化测量,自动化历史数据存储,可视化趋势,并为操作人员提供有关仪表的有用信息。利用此应用程序将取代目前手工记录读数的做法,以减少人为错误并提高操作效率。有了这个应用程序,操作员只需将移动设备的摄像头指向量规,图像就会通过计算机视觉算法转换为数字测量。数字化的读数被发送到远程数据库进行记录保存和数据分析。为了识别正在扫描的量规,这对于正确的记录保存是必要的,应用程序检测附加在量规上的唯一qr码标签。此外,该应用程序利用AR技术叠加仪表特定信息(如仪表类型、安全操作范围、流体类型等)以及数字化读数。历史读数的可视化是该应用程序的另一个功能,它可以帮助操作人员进行趋势监测和决策。在实验室环境中对原型应用程序进行了初步测试,以演示该应用程序的工作原理。虽然这项技术还处于发展的早期阶段,但它在计算机视觉算法检测和数字化模拟仪表的准确性和速度方面显示出了很好的结果。应用程序记录的历史数据也可以通过控制室使用web界面访问,其中可以检索和可视化来自各种仪表的信息,以进行分析和监控。总体而言,该应用程序集成了计算机视觉和增强现实,为数字化模拟仪表提供了有效的解决方案,同时促进了行业内的数字化转型工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AR Gauge Scanner Mobile Application
This paper showcases an innovative mobile application powered by IR4.0 technologies including augmented reality (AR) and artificial intelligence (AI). The purpose of this application is to enable digital transformation of analog gauges, digitize their measurements, automate historical data storage, visualize trends, and provide useful information about the gauge to the operator. Utilizing this application will replace the current practice of manual recording of readings in order to reduce human errors as well as promote operational efficiency. With this application, the operator simply points the mobile device's camera towards the gauge and the image is converted to a digital measurement using computer vision algorithms. The digitized readings are sent to a remote database for recordkeeping and data analytics. In order to identify which gauge is being scanned, which is necessary for proper recordkeeping, the application detects a unique QR-code tag attached to the gauge. Additionally, the application utilizes AR technology to overlay gauge specific information (such as gauge type, safe operating range, fluid type, etc.) along with the digitized reading. Visualization of historical readings is another feature in the application that assists the operator in trend monitoring and decision making. Preliminary tests for the prototype application were carried out in a laboratory environment to demonstrate the working principle of this application. Although the technology is in its early stages of development, it shows promising results in terms of accuracy and speed of the computer vision algorithms to detect and digitize the analog gauges. The historical data recorded by the application can also be accessed via the control room using a web interface, where information from various gauges can be retrieved and visualized for analysis and monitoring. Overall, the presented application integrates computer vision and augmented reality to provide an effective solution for digitizing analog gauges while promoting digital transformation efforts within the industry.
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