TY - GEN
T1 - Concept of a Highly Automated Tower Crane
AU - Schock-Schmidtke, Alexander
AU - Bernhard, Tim
AU - Fottner, Johannes
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Low productivity and efficiency, as well as a high proportion of manual activities, necessitate automating the construction industry. While some individual functions of construction machinery - especially earthmoving equipment - are already automated, there is a lack of a holistic concept for a highly automated tower crane. In a highly automated tower crane, humans serve only as a fallback in case of emergency. The machine executes individual load movements autonomously, with environmental perception used for monitoring and ensuring safety across the crane's workspace. This paper presents a three-layer framework for developing a highly automated tower crane consisting of the crane itself, a central control unit, and the user interface. This concept ensures a more efficient and safer coordination of lifting operations with cranes. Moreover, the required construction site personnel can be deployed more efficiently for planned tasks.
AB - Low productivity and efficiency, as well as a high proportion of manual activities, necessitate automating the construction industry. While some individual functions of construction machinery - especially earthmoving equipment - are already automated, there is a lack of a holistic concept for a highly automated tower crane. In a highly automated tower crane, humans serve only as a fallback in case of emergency. The machine executes individual load movements autonomously, with environmental perception used for monitoring and ensuring safety across the crane's workspace. This paper presents a three-layer framework for developing a highly automated tower crane consisting of the crane itself, a central control unit, and the user interface. This concept ensures a more efficient and safer coordination of lifting operations with cranes. Moreover, the required construction site personnel can be deployed more efficiently for planned tasks.
UR - http://www.scopus.com/inward/record.url?scp=85208267775&partnerID=8YFLogxK
U2 - 10.1109/CASE59546.2024.10711731
DO - 10.1109/CASE59546.2024.10711731
M3 - Conference contribution
AN - SCOPUS:85208267775
T3 - IEEE International Conference on Automation Science and Engineering
SP - 4062
EP - 4067
BT - 2024 IEEE 20th International Conference on Automation Science and Engineering, CASE 2024
PB - IEEE Computer Society
T2 - 20th IEEE International Conference on Automation Science and Engineering, CASE 2024
Y2 - 28 August 2024 through 1 September 2024
ER -