Obayashi Corporation has developed a system that checks whether concrete piles have reached the bearing class when they are cast in place. Based on excavated measurement data and proprietary metrics, the AI software has learned different ground conditions to estimate the soil quality and foundation stiffness of the bearing layer. By allowing depth and arrival status checks with high accuracy in real time without depending on the experience of engineers, it will lead to consistent quality and labor savings in construction management.
Example screen of pile support layer validation system (from press release document)
The new system "PiRuler-GEO" uses measurement data such as rotational torque, thrust and excavation depth obtained from excavators and unique indicators such as design soil quality, elapsed time and built-in torque to estimate arrival state. . Using AI software that helps the machine learn more than 850 data that can correspond to different soil conditions, soil quality and soil hardness are estimated every 15 seconds. Accuracy of 90% or more for soil quality and soil hardness has a high error (RMSE) of 10 or less from the estimated value. It is said to be especially effective in places where the support layer is tilted.
The condition of reaching the bearing grade is generally assessed by an experienced engineer by visual and tactile inspection of the soil quality of the sample taken during excavation. Complex site conditions require a lot of labor to confirm. By adopting the new system, it is hoped that rebuilding will be limited and delays in construction will be prevented.
Obayashi Corporation is building a quality control system for cast-in-place concrete piles using AI and IT, and Pile Radio is one of the configuration technologies. To promote the introduction of equipment other than the company itself, the company is also planning to lend it outside through Daiyu (Neyagawa City, Osaka Prefecture, President Koji Iida), a company specializing in leasing construction equipment. build.
