Bin Gao, Professor, UESTC

Electromagnetic Multiphysics Sensing | Physics-Informed AI | Intelligent NDT | Challenging & Unpiggable Pipeline Inspection

Unpiggable  ILI PIGPROX｜ 86+ Inspection Systems ｜ 420+ Pipelines ｜ 5,500+ km ｜ 1.2M+ Defects Detected｜ Φ108–Φ711 mm | CNPC & Sinopec | Blind Validation

Prof. Bin Gao leads research on electromagnetic multiphysics sensing, physics-informed artificial intelligence, intelligent nondestructive testing, and robotic in-line inspection (ILI). His team develops high-resolution electromagnetic and multiphysics inspection technologies for challenging and unpiggable pipelines.

In collaboration with industrial partners, the team has developed commercial electromagnetic pipeline inspection robots covering Φ108–Φ711 mm, with 86 inspection systems deployed, more than 5,500 km of field operation, and over 1.2 million pipeline defects detected in oil and gas pipelines. The product web: https://www.pigprox.com/index.html

 Industrial Collaboration:

Sichuan Deyuan Pipeline Technology Co., Ltd.

Joint development:

• Electromagnetic ILI robot

• Intelligent tracking system

• Defect localization software

• Industrial deployment

Field applications:

• Oil & gas pipelines

• Small diameter pipelines

• Challenging pipelines

Research field

1. Electromagnetic Unpiggable Pipeline ILI

• Unpiggable Pipeline In-Line Inspection
  

• Intelligent NDT robot

2. Eddy Current Sensor Array

• differential coil

• multi-array sensing

• crack detection

3. Magnetic-Electric Multiphysics Detection

• MEM sensing

• full circumferential inspection

• EMAT

• ACFM
  

4. AI Defect Quantification

• physics-informed AI

• defect characterization

• Embodied AI & Physical AI