TY - GEN
T1 - Construction operation assessment and correction using laser scanning and projection feedback
AU - Pevzner, A.
AU - Hasan, S.
AU - Sacks, R.
AU - Degani, A.
N1 - Publisher Copyright: © 2020 Proceedings of the 37th International Symposium on Automation and Robotics in Construction, ISARC 2020: From Demonstration to Practical Use - To New Stage of Construction Robot. All rights reserved.
PY - 2020
Y1 - 2020
N2 - Lean construction (LC) and Building Information Modeling (BIM) support an integrated vision for short cycle plan-do-check-act cycles of planning and control in construction. However, operations control tasks, such as delivery of design information to the field, monitoring, progress evaluation and error detection are still largely manual and thus timeconsuming, costly and error-prone. Innovations in construction technologies can be applied to reduce cycle time, waste, construction errors and the rework that necessarily follows. In this context, we propose application of a projection and scanning technology to provide workers with real-time information and feedback regarding the quality and accuracy of their handiwork. The goal is to achieve proper quality in the first iteration, with fully automated inspection, and no rework. As a proof-of-concept, we demonstrate the system using an example of wall plastering. The result of plaster application is difficult to measure in conventional means, and errors are difficult to detect. Our system monitors the progress of the procedure (Field-to-BIM), evaluates the surface flatness and projects corrections onto the surface itself, after optimizing with respect to industry standards and tolerances (BIM-to-Field). We demonstrate the concept in an experimental setup using a Trimble™ TX8 laser scanner and an angled adjustable projector. The results show high precision detection of wall flatness deviations, of up to 2 mm accuracy.
AB - Lean construction (LC) and Building Information Modeling (BIM) support an integrated vision for short cycle plan-do-check-act cycles of planning and control in construction. However, operations control tasks, such as delivery of design information to the field, monitoring, progress evaluation and error detection are still largely manual and thus timeconsuming, costly and error-prone. Innovations in construction technologies can be applied to reduce cycle time, waste, construction errors and the rework that necessarily follows. In this context, we propose application of a projection and scanning technology to provide workers with real-time information and feedback regarding the quality and accuracy of their handiwork. The goal is to achieve proper quality in the first iteration, with fully automated inspection, and no rework. As a proof-of-concept, we demonstrate the system using an example of wall plastering. The result of plaster application is difficult to measure in conventional means, and errors are difficult to detect. Our system monitors the progress of the procedure (Field-to-BIM), evaluates the surface flatness and projects corrections onto the surface itself, after optimizing with respect to industry standards and tolerances (BIM-to-Field). We demonstrate the concept in an experimental setup using a Trimble™ TX8 laser scanner and an angled adjustable projector. The results show high precision detection of wall flatness deviations, of up to 2 mm accuracy.
KW - Building information modeling
KW - Construction
KW - Data acquisition
KW - Human machine interaction
KW - Sensing/recognition
KW - Technologies
UR - http://www.scopus.com/inward/record.url?scp=85109373269&partnerID=8YFLogxK
M3 - منشور من مؤتمر
T3 - Proceedings of the 37th International Symposium on Automation and Robotics in Construction, ISARC 2020: From Demonstration to Practical Use - To New Stage of Construction Robot
SP - 1247
EP - 1254
BT - Proceedings of the 37th International Symposium on Automation and Robotics in Construction, ISARC 2020
PB - International Association for Automation and Robotics in Construction (IAARC)
T2 - 37th International Symposium on Automation and Robotics in Construction: From Demonstration to Practical Use - To New Stage of Construction Robot, ISARC 2020
Y2 - 27 October 2020 through 28 October 2020
ER -