AI & Automation in OSP Construction Drawings

Abstract

The growing complexity of the telecommunications infrastructure thanks to the introduction of 5G and 6G networks densification has exerted more pressure on the conventional Outside Plant (OSP) design processes, unlike ever before. Traditional manual drafting and field verification processes tend to be very laborious, time wasting, and with a high possibility of human error. The paper is a critical evaluation of the state of AI-driven automation in construction drawings of OSP, whether it is a real technological advancement or a hype in the industry. With the help of a mixed-method research design, the study will carry a systematic literature review and a benchmarking performance analysis of the manual and AI-assisted workflows. The study is about 3 fundamental applications, including automated Traffic Control Plans (TCPs), AI-based utility conflict identification, and auto-generated longitudinal and cross-section profiles. The design cycle time, frequency of errors, and the cost efficiency were considered as key performance indicators (KPIs). It is shown that the use of AI helps to save a lot of time on drafting and improve subsurface utility conflict prediction. In particular, automatically generated TCPs and profile generation generated immediate productivity and regulatory consistency improvements. Nevertheless, there are constraints on the reliability of data and the need to have human validation due to the complex conditions of sites. The paper concludes that, despite huge benefits of AI, human engineering skills cannot be fully replaced by AI. It is suggested that a hybrid human-AI collaboration scheme would be the most effective in providing the greatest design effectiveness, safety, and adherence to changing regulations. These findings offer a sensible roadmap to the industry stakeholders as far as the implementation of intelligent design technologies is concerned.