Intelligent control system of port turning line based on WITNESS software

• Published in: Applied mathematics and nonlinear sciences 2024-01, Vol.9 (1)
• Main Author: Li, Hongjun
• Format: Article
• Language: English
• Subjects: 42A38; ARTG control switch; Genetic algorithm; Intelligent control system; Kalman filtering algorithm; WITNESS model
• ISSN: 2444-8656; 2444-8656
• DOI: 10.2478/amns.2023.1.00374

In order to improve the efficiency of the intelligent control system of the port tipping line, this paper builds a port tipping line simulation intelligent control system based on WITHNESS software. Firstly, through ARTG (Konecranes Automation System) control switch, the simulation model of single-vessel loading and unloading transportation of the road network from the port front to the yard is established. Secondly, the Kalman filter algorithm and genetic algorithm are used to informally manage the port loading and unloading truck entry and exit data, and the assembly balance in the genetic algorithm is used to improve the data mining efficiency, and finally, the simulation system is tested for data. The results show that: the simulation system WITHNESS model constructed in this paper has an average time of 20.34 min for external collector trucks in the port dwell time, among which the number of vehicles with dwell time in [17/22] and [22/30] minutes is the majority accounting for a total of 60.7% of the total. Furthermore, the comparison of yard area reduction shows that the dwell time is 72.6%, 70.9%, and 87.5%, respectively, for yard area at different times. It can be seen that the simulation system WITHNESS model constructed in this paper helps to promote the development of port loading and unloading and can improve the effectiveness of loading and unloading work.