Design and Application of Cyber Physical System – A Case Study of Road Cycling Race

• Main Authors: LIN, YAN-ZHU, 林彥竹
• Other Authors: JENG, YAO-CHANG
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/ck888a

碩士 === 國立虎尾科技大學 === 自動化工程系碩士班 === 106 === In recent years, people pay more attention to leisure sports. Cycling is a very popular sport. The road cycling team time trial(TTT) is one of the events in international sports competitions. Road cycling performance is dependent on race tactics and pacing strategy. To minimize the overall time that a team of cyclists needs to complete a race is an interesting real-world problem. With the progress of technology, mobile computing has far-reaching impacts the object in which they are embedded and provide it with information processing and communication capabilities. It promises to monitor the fatigue of the cyclist and to improve power efficiency. In this research, a road cycling race suggestion system is presented. The proposed hierarchical framework is designed based on the Cyber Physical System, which includes physical level and virtual level. In the physical level, heart rate sensors and electromyogram(EMG) sensors are deployed in an embedded system, which transforms sensor data into fatigue index. In the virtual level, the main computer is employed to monitor the status of the physical layer and generates an optimal pacing strategy. Using an agent-based approach, each rider is represented as an agent and communicates with the system on the agent platform. An optimization race tactics is generated based on rider’s real time physiological status, then cyclists have to change their position within the team during the race in order to minimize the overall time. The purpose of this study is to explore how to construct and plan the whole system of road cycling race based on the Cyber Physical System. The feasibility of the designed system is presented by the simulation analysis. The experimental results show that the optimal heuristics lead to better strategies than state-of-art strategies that are currently used by teams of cyclists.