使用人工智能的工程数据管理

Kalicharan Mahasivabhattu, Deepti Bandi, S. Singh, Pankaj Kumar
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引用次数: 1

摘要

工程领域的许多数据以纸质图纸和文档的形式存在。从技术上讲,这些被认为是“非结构化数据[1]”,因为与存储在数据库中的数据相比,使用传统程序很难从图纸中提取内容。这些图纸经常用于绿地和棕地项目的设计和维护活动。如今,数字化是油气行业提高劳动力效率的关键因素。因此,越来越多的人需要将这些哑巴图纸数字化。然而,将这些图纸转换为数字格式的唯一方法是手动重新绘制它们。随着计算机视觉、光学字符识别(OCR)和自然语言处理(NLP)等技术的出现,我们不再需要依靠人类的认知能力来处理绘图中的信息。人工智能(AI)系统可以训练来识别图纸中的视觉内容并提供简化的上下文。基于人工智能的算法可以读取扫描的过程和仪表图(P&ID),以识别绘图的图形内容,如仪器,标签,管道,文本等。人工智能从哑图中提取的信息稍后可以传递给自动化脚本,以创建新的数字版本。本文重点介绍了利用人工智能对扫描图进行处理,并在数字平台上自动重绘。采用这种方法可以在追求数字化的过程中带来相当大的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Engineering Data Management Using Artificial Intelligence
A lot of data in the engineering world exists in the form of paper drawings and documents. Technically, these are considered as "unstructured data [1]"as it is difficult to extract content from the drawings using traditional programs as compared to data stored in databases. These drawings are often used for design and maintenance activities in both greenfield and brownfield projects. Today, digital is a key enabler in oil and gas to increase workforce efficiency. Hence there is a growing need to get the dumb drawings digitized. However, the only means of converting these drawings into digital format is to manually re-draw them. With the emergence of technologies like Computer Vision, Optical Character Recognition(OCR) and Natural Language Processing(NLP), we no longer need to depend on human cognitive capabilities to process information from a drawing. Artificial Intelligence(AI) systems can be trained to recognize the visual content in drawings and provide a simplified context. AI based algorithms can read a scanned Process and Instrumentation Diagram (P&ID) to recognize the graphical content of the drawing like instruments, tags, pipelines, text etc. The information extract that AI generates from a dumb drawing can later be passed to an automation script to create a new digital version. This paper emphasizes the use of Artificial Intelligence in processing a scanned drawing and automatically redraw it on a digital platform. Adapting this approach can bring considerable advantage in the pursuit of going digital.
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