Intelligent Evaluation Mechanism for Cloud-Edge-End based Next Generation Ship Simulator towards Maritime Pilot Training
- Resource Type
- Conference
- Authors
- Feng, Linan; Lin, Bin; Jing, Xiaogang; Zhao, Qiuyu; Liu, Lin; Shao, Shuai
- Source
- 2021 International Conference on Security, Pattern Analysis, and Cybernetics(SPAC) Security, Pattern Analysis, and Cybernetics(SPAC), 2021 International Conference on. :585-589 Jun, 2021
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
Training
Simulation
Neural networks
Systems architecture
Security
Object recognition
Marine vehicles
Edge calculation
intelligent evaluation
maritime pilot
simulation training
- Language
We design intelligent evaluation mechanism for cloud-edge-end based next generation ship simulator towards maritime pilot training in this paper. Firstly, we introduce the concept of “cloud-edge-end” and design the next generation ship simulator system architecture. In the proposed architecture, the edge node can perform artificial intelligence to achieve the distributed evaluation for maritime pilot training. The instructor station is set at the cloud nodes. Then, an intelligent evaluation scheme with Back Propagation (BP) neural networks is designed to decrease artificial evaluation error and improve the objectivity of evaluation according to Automatic Identification System (AIS) data. The experiment results show that the evaluation accuracy of the proposed scheme is higher than the traditional artificial evaluations.