Using artificial intelligence, digital twinning, GIS, unmanned aerial vehicle and remote sensor to assist in the inspection of signal tower

I&T Solution Using artificial intelligence, digital twinning, GIS, unmanned aerial vehicle and remote sensor to assist in the inspection of signal tower
(REF: S-1151)
Trial Project
Solution Feature
  • Through convolution neural network algorithm and single dynamic identification technology, UAV can calculate the captured image at pixel level at a speed of 35 km/h.
  • Realize the whole life cycle management of signal tower through Internet of Things technology and cruise technology.
  • Modeling by digital twinning technology shows the location of corrosion point.
  • By predicting the state of the tower, the efficiency of cruise inspection can be improved by 45% after a large amount of data is accumulated.
  • Drone hovering function, using ultrasonic or eddy current technology, fine detection of corrosion degree, the accuracy of detection depth can be controlled in 0.1-0.25mm.
Trial Application and Expected Outcome
  • Using unmanned aerial vehicle and remote monitoring system, instead of human hands, climb the signal tower to check the overall condition of each tower.
  • This technology is expected to effectively reduce manpower, strengthen traceability, improve inspection coverage and help arrange maintenance work.
  • Automatic signal tower business inspection, transmission, analysis and alarm task scheduling are managed in one-stop by visual management platform.
  • Optimize the self-learning algorithm of convolutional neural network, and its operation efficiency is to complete recognition once every three frames.
  • Develop an intelligent inspection drone with AI algorithm camera and intelligent sensing equipment.
Additional Solution Information 讯号塔检查-创科方案2.pdf
Info on I&T Solution Provider
Solution Provider:Hong Kong Zi Wai Technology Limited
Address:Room 702, 7/F, Fu Fai Commercial Centre, 27 Hillier Street, Sheung Wan, Hong Kong
Contact Person:ZHANG,YONGQIANG
Position:General manager
Tel:35212970
Email: hkziwai@gmail.com
Webpage: www.hkziwai.com

For details of the above I&T solution, please contact the I&T solution provider.