Technologies, levels and directions of crane-lift automation in construction

Zhu, Aimin; Zhang, Zhiqian; Pan, Wei

doi:10.1016/j.autcon.2023.104960

Cited by 10 publications

(3 citation statements)

References 101 publications

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Section: Introductionmentioning

confidence: 99%

“…The rapid expansion of industries such as manufacturing, energy, and transportation necessitates continuous advancements in automated control techniques [4], [5]. With the emergence of technologies in the Industri 4.0 Era such as the Internet of Things (IoT), industrial processes are increasingly interconnected and heavily reliant on automated systems [3], [5]. Therefore, it is of utmost importance for IEE students to acquire comprehensive ACSs that align with industrial requirements, particularly in the realm of electrical machine control.…”

Section: Introductionmentioning

confidence: 99%

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Human Machine Interface-Based Control Training Kit as Innovative Learning Media to Enhance Students’ Automation Control Skills in the Industry 4.0 Era

Aswardi,

Putra Yanto,

Dewi

et al. 2023

TEM Journal

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This research investigates the effectiveness of the Human-Machine Interface-based control (HMI-BC) training kit as an innovative learning media in enhancing the Automation Control Skills (ACSs) of Industrial Electrical Engineering (IEE) students in the Industry 4.0 Era. The study focuses on evaluating the students' ACSs in the Electrical Machine Control Course (EMCC) after using the HMI-BC training kit as a practical learning media. The research adopts a quasi-experimental design with a One-Group Pre-test and Post-test design. The student’s ACSs data is collected using a performance assessment instrument. The impact of the HMI-BC training kit in enhancing ACSs was evaluated based on the differential analysis of pre-test and post-test scores using the paired-sample t-test. Furthermore, the effect size of the HMI-BC training kit on the learning process was determined using Cohen's d effect size analysis. The results reveal a significant improvement in the students' ACSs as evaluated through the assessment of the performance indicators. Based on the evaluation, the findings demonstrate a notable enhancement in students' ACSs. The HMI-BC Training Kit, developed to align with the characteristics of the learning material and industrial advancements, proves to be effective in enhancing students' ACSs, aligning with the evolving needs of the industry. These findings highlight the importance of incorporating the HMI-BC Training Kit in the learning process of motor control to equip students with relevant automation control competencies, ultimately preparing them for the industrial demands of the future.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Human Machine Interface-Based Control Training Kit as Innovative Learning Media to Enhance Students’ Automation Control Skills in the Industry 4.0 Era

Aswardi,

Putra Yanto,

Dewi

et al. 2023

TEM Journal

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“…Abnormal noise may mean that a component is malfunctioning or worn out, requiring further inspection; Safety device detection: check the crane's safety devices, such as limiters, heavy load protection devices, etc., to ensure that they are working properly and that the crane operates within a safe range, etc. Although these traditional monitoring methods can monitor the operating status of the crane and possible problems to a certain extent, they usually require offline inspection or regular manual operation, and cannot achieve real-time, automated monitoring [15]. The introduction of digital twins into industrial equipment inspection can be an effective solution to the above problems.…”

Section: Introductionmentioning

confidence: 99%

Establishment of Web-Based Digital Twin System for Truss Gantry Crane

Li,

Wang,

Fan

et al. 2023

IEEE Access

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The concept of digital twin intends to establish a real-time mapping between physical and virtual spaces, which individuals can use for real-time monitoring and remote control of product operation. This paper presents a web-based truss gantry crane digital twin system. It elucidates the gradual design process of a web-based digital twin system for analyzing the structural performance of heavy equipment. The construction of a six-layer architectural framework for the digital twin system involves an analysis of its components and motion relationships. Sensors perform data collection to provide data support for real-time mapping of digital space to physical space. The setup of an Express server and the integration of routing files accomplish the data collection, transmission, and processing of the communication system, thereby avoiding a decrease in operational efficiency due to data read and write operations and making full use of the server's capabilities. Use Chrome V8 engine to build 3D visualization space based on HTML and Three.js. Users only need to install a browser to log in to the system at any time and any place to carry out the corresponding operations. Upgrade and maintenance of the system is realized through the operation of the corresponding server, which greatly reduces the maintenance cost.

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