| Abstract [eng] |
To increase the efficiency of the container handling process, one of the most promising solutions is to develop efficient data synchronization methodologies using real-time data of the quay crane and container trucks, using the support of various ICT tools/technologies. Existing planning systems do not evaluate real-time data synchronization received from all sensory units scattered across the container terminal, which leads to downtimes, increases the duration of the total handling process and increases the energy costs required to transport the cargo across the terminal to the stack. A new process data synchronization method is proposed in this work, which include a new method of wireless data collection and transmission based on LoRaWAN technology. The proposed solution includes physical prototypes of the network equipment and a developed two-layer security mechanism in LoRaWAN protocol. A new algorithm of container lowering time estimation according to a trajectory template and a new mathematical model and algorithm evaluating fuel consumption of a container truck from real movement data was developed and implemented in the proposed method. A field experiment performed in Klaipeda port shows that a one LoRaWAN station covers a medium-sized container terminal and provides reliable transmission of handling process contextual data. Computational results suggest that it is possible to diminish the AGV waiting times and thus minimize the total container handling process duration, resulting an improvement over the current method. |
