Abstract
This paper presents the initial research findings from the Klaipeda port quay crane monitoring activities related to the Blue economy development initiative in the Baltic Sea and demonstrates the effectiveness of the modelling of the spreader movement patterns. The use case study demonstrates the possibility to monitor the cargo handling processes using ICT sensory equipment and to address the problem of information system deployment in harsh industrial environments. Custom made monitoring and data transmission sensory units were developed and placed on the quay crane spreader and AGV to detect the movement speed and the accelerations in 3D space. Theoretical and use-case scenarios are presented and discussed briefly. Initial results suggested that crane operators’ involvement in the control of the cargo movement produced incorrect control patterns (joystick movements) that delayed port operations. Each control movement of the joystick needs to have direct real-time feedback from the spreader (actual movement of the cargo). Feed-back control functionality will allow adjusting the spreader movement ac-cording to the operator and will decrease the cargo transportation time during constant breaks.
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This research has received funding from European Regional Development Fund (project No 01.2.2-LMT-K-718–03-0001) under grant agreement with the Research Council of Lithuania (LMTLT).
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Jakovlev, S., Eglynas, T., Jusis, M., Voznak, M., Partila, P., Tovarek, J. (2021). Container Handling Operation Modeling and Estimation. In: Klein, C., Helfert, M., Berns, K., Gusikhin, O. (eds) Smart Cities, Green Technologies, and Intelligent Transport Systems. SMARTGREENS VEHITS 2020 2020. Communications in Computer and Information Science, vol 1475. Springer, Cham. https://doi.org/10.1007/978-3-030-89170-1_14
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DOI: https://doi.org/10.1007/978-3-030-89170-1_14
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