Summary
In transmission line construction, sag measurement and compression sleeve inspection are critical for quality and safety. Conventional methods require multiple workers at high altitudes in awkward postures, creating heavy workloads and safety risks. They also depend on skilled workers’ experience, limiting efficiency and standardization. This study proposes a new inspection method using smartphones, commercial fixtures, and Augmented Reality (AR).
Read more Read lessThe AR-based sag measurement overlays a target sag line on the live camera feed from a smartphone on the tower, enabling workers to check and adjust sag for all phases without moving. Screen mirroring allows ground workers to monitor visually real-time images and make adjustments without relying on voice communication, improving efficiency.
For compression inspection, AI-based shape recognition and image processing measure compression dimensions from smartphone images. Future upgrades include automatic recording and report generation during photo capture, automating measurement and documentation . This reduces safety risks and workload in confined high-altitude environments.
Introducing AR improves safety, standardizes inspection quality, and enhances efficiency. The system uses only a smartphone and commercial fixtures, requiring no special equipment or advanced skills. Applying this technology to transmission line work will accelerate digital transformation and establish a new standard for power infrastructure maintenance.
Additional informations
| Publication type | Session Materials |
|---|---|
| Reference | B2_10829_2026 |
| Publication year | |
| Publisher | CIGRE |
| Country | Japan |
| Study committees | |
| File size | 2 MB |
| Price for non member | 30 € |
| Price for member | 30 € |
Authors
KONDO Fumihiko - Chubu Electric Power Grid Co., Inc. Japan; YUZAWA Ryo - Chubu Electric Power Grid Co., Inc. Japan; ISHIDA Shunsuke - Chubu Electric Power Grid Co., Inc. Japan; YAO Kenichiro - Chubu Electric Power Grid Co., Inc. Japan; MASUDA Takaya - SENSYN ROBOTICS, Inc. Japan; OGAWA Masahiro - SENSYN ROBOTICS, Inc. Japan
Keywords
Augmented Reality, Compression Inspection, Sag Measurement, Smartphone
