| 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)
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| Trial Project |
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| 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.
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| 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.
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| Additional Solution Information |
讯号塔检查-创科方案2.pdf
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| 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 |
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Position | : | General manager
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Tel | : |
35212970
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Email | : |
hkziwai@gmail.com
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Webpage | : |
www.hkziwai.com
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