Intelligent Real-Time Monitoring System of Tower Crane Load Moment

Sangiorgio

et al. 2023

Purpose Most of the 3D printing machines do not comply with the requirements of on-site, large-scale multi-story building construction. This paper aims to propose the conceptualization of a tower crane (TC)-based 3D printing controlled by artificial intelligence (AI) as the first step towards a large 3D printing development for multi-story buildings. It also aims to overcome the most important limitation of additive manufacturing in the construction industry (the build volume) by exploiting the most important machine used in the field: TCs. It assesses the technology feasibility by investigating the accuracy reached in the printing process. Design/methodology/approach The research is composed of three main steps: firstly, the TC-based 3D printing concept is defined by proposing an aero-pendulum extruder stabilized by propellers to control the trajectory during the extrusion process; secondly, an AI-based system is defined to control both the crane and the extruder toolpath by exploiting deep reinforcement learning (DRL) control approach; thirdly the proposed framework is validated by simulating the dynamical system and analysing its performance. Findings The TC-based 3D printer can be effectively used for additive manufacturing in the construction industry. Both the TC and its extruder can be properly controlled by an AI-based control system. The paper shows the effectiveness of the aero-pendulum extruder controlled by AI demonstrated by simulations and validation. The AI-based control system allows for reaching an acceptable tolerance with respect to the ideal trajectory compared with the system tolerance without stabilization. Originality/value In related literature, scientific investigations concerning the use of crane systems for 3D printing and AI-based systems for control are completely missing. To the best of the authors’ knowledge, the proposed research demonstrates for the first time the effectiveness of this technology conceptualized and controlled with an intelligent DRL agent. Practical implications The results provide the first step towards the development of a new additive manufacturing system for multi-storey constructions exploiting the TC-based 3D printing. The demonstration of the conceptualization feasibility and the control system opens up new possibilities to activate experimental research for companies and research centres.

Section: Literature Review 21 Large 3d Construction Printingmentioning

confidence: 99%

A new concept for large additive manufacturing in construction: tower crane-based 3D printing controlled by deep reinforcement learning

Sangiorgio

et al. 2023

“…Appleton, B (2002) introduced Special purpose simulation (SPS) computer modeling techniques to tower cranes and built a simulation modeling [5]; since then, some crane safety evaluation related work had done to guarantee the safety of tower cranes. Zhang yang (2011) researched on static structural finite-element analysis of tower cranes based on FEM [6]; while some other researches studied in dynamic properties analysis of tower cranes [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

A Modal Analysis of Giant Shipbuilding Tower Crane

Huang

He²,

Wang

2012

AMM

Old giant cranes in corrosive environment are in serious hidden danger of structural instability and failure, the modal analysis is an important part of dynamics analysis in the Crane Safety Evaluation to guarantee the safety of cranes. A Modal Analysis of a 28-year old 100t giant shipbuilding tower crane was done using ANSYS. Comparing with the vibration frequencies and modal shapes, Modal analysis shows that the Natural Frequency of the crane reduces from 1.0024Hz to 1.0003Hz, beside all the Modal vibration frequencies (first 10 Order) of the crane are lower than the designed value, means the strength of the tower crane has decreased; the Modal Vibration Frequencies (first 10 Order) of the tower crane are between 1 Hz and 2 Hz. The Mmodal analysis provided theoretical basis for safe use, design and transformation of this crane.

“…Advances in Mechatronics and Control Engineering Development of application program. According to the functional requirements of torque safety monitoring system, the design of the whole application software can be divided into system self-check module, parameter setting module, system control module, data recording module, etc [10]. System self-check module is responsible for self-check function after the start-up of applications, including detection of system working status and communication interface status.…”

mentioning

confidence: 99%

Design of Crane Torque Monitoring System Based on ARM

Liao

Huang

2013

AMM

In view of the drawback of current crane torque monitoring system in real-time performance and anti-jamming performance, a new crane intelligent monitoring device based on ARM and Windows CE operating system is proposed, including its working theory, hardware circuit and software design. Taking the versatility and anti-jamming performance of the system into account, the design and implementation of input signal conditioning modules and output execution modules are elaborated in detail. The application shows that this system is stable and reliable, and can effectively guarantee safe operation of crane, its easy-operation and versatility make it a good application prospect.