Research on "Robot+" Campus Intelligent Logistics Simulation Based on PQFactory Platform

Authors

  • Conghao Ruan
  • Wei Su

DOI:

https://doi.org/10.54097/hkst6m46

Keywords:

PQFactory Platform, Robot+, Campus Smart Logistics, Simulation Study

Abstract

With the intelligent transformation of campus logistics, the PQFactory platform, as an integrated and intelligent virtual simulation system, has shown great potential in improving research and development efficiency and product quality. This article is based on the PQFactory platform and conducts simulation research on intelligent delivery of campus express. Firstly, the scene layout and process flow of the campus express station are designed based on the PQFactory platform. Then, according to the workflow of the simulation workstation, process signals and robot variables are configured. At the same time, the robot running program is designed. Finally, the simulation workstation is integrated and debugged with the PLC program. The accuracy and reliability of intelligent campus express delivery have been verified through simulation, providing new exploration and reference for the application of "Robot+" technology in the field of campus smart logistics.

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References

[1] Chen Yan. Research on the design and control of loading and unloading robots for CNC machine tool groups [D]. Jiangsu University, 2013.

[2] Fu Liqin, Hou Jiali. Design of campus smart logistics platform [J]. Internet of Things Technology, 2021, 11 (04): 81-83+88.

[3] Fang Lun, Chen Kunjie, Li Lingxiao, et al. Exploration of college students' innovation and entrepreneurship based on campus express smart logistics [J]. Engineering Technology Research, 2020,5 (16): 224-228.

[4] Huang Hao, Wei Siyang, Han Caixia. Design of campus express intelligent unmanned vehicle delivery system [J]. Microcomputer Application, 2024, 40 (11): 27-31.

[5] Zhang Liguo, Gao Haikuo, Li Jie, et al. Design and implementation of campus express delivery system with visual robot arm [J]. Information Recording Materials, 2024, 25 (02): 168-170.

[6] Lv Liqiang, Yang Shuangxing. Application of robot technology in intelligent logistics material sorting [J]. Logistics Engineering and Management, 2023, 45 (10): 1-3.

[7] Zhao Yantong. Research on the collaborative development of robot industry and smart logistics - review of "smart logistics and smart supply chain" [J]. Business Economics Research, 2022, (07):2.

[8] Yan Xiaoyong. Application of IOT based PQFactory simulation and siemens S7-1200 PLC digital twin integration [J]. Electronic Manufacturing, 2024, 32 (12): 107-109.

[9] Xiao Han, Meng Wen, Mao Yuhua. Simulation study on intelligent manufacturing unit for wheel grinding based on PQFactory platform [J]. Electronic Manufacturing, 2024, 32 (20): 85-88+46.

[10] Jiang Hao, Zhang Yifan, Wei Changzhou. Research on digital twin integration technology of torch shell polishing equipment based on PQFactory platform [J]. Mechanical Management Development, 2023, 38 (9): 237-241.

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Published

24-02-2025

Issue

Section

Articles

How to Cite

Ruan, C., & Su, W. (2025). Research on "Robot+" Campus Intelligent Logistics Simulation Based on PQFactory Platform. Frontiers in Computing and Intelligent Systems, 11(2), 11-15. https://doi.org/10.54097/hkst6m46