Rapid Inspection of Large Concrete Floor Flatness Using Wheeled Robot with Aided-INS

Author(s)

Zhipeng Chen , Qingquan Li , , Weixin Xue, Dejin Zhang, Siting Xiong , Yu Yin and Shiwang Lv

Abstract

Flatness is an important parameter for the quality assessment of concrete floors. Traditional flatness inspection methods have problems with sparse sampling and low efficiency for large concrete floors.

In this paper, a rapid flatness inspection method for large concrete floors based on a wheeled robot with an aided inertial navigation system (INS) is proposed. The robot realizes high precision relative to the three-dimensional profile measurement of concrete floors through fusion of INS, odometers and total station. The overall measurement of concrete floor flatness is realized through a certain density of profiles.

The measurement performance of the proposed method has been tested in laboratory, and the effectivity is tested in the flatness inspection of the concrete base of an ice floor in the National Speed Skating Oval of 2022 Beijing Winter Olympic Games.

The results demonstrate that the floor flatness inspection accuracy can meet the requirement of ±0.5 mm over 5 m and the efficiency is several times that of the traditional method. This technology is promising for high precision and rapid flatness inspection of large floors.

Keywords

floor flatness inspection; inertial measurement; multiple sensors fusion; wheeled robot
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