원문정보
초록
영어
To study intelligent auxiliary drive system of port machinery, it needs to identify operational intention of quayside container crane driver. With the background of loading and unloading process of quayside container crane, upon Hidden Markov Model, double HMM model is established. The algorithm of revised Forward-Backward is applied to calculate each likelihood of HMM in operation layer, the model of the largest likelihood is selected to be the identify result of operation behavior. After combining them to constitute the observation sequence bunch, it will be sent to the intention layer of HMM to conduct the identification of operation intention of crane driver. Finally, HMM is realized by Matlab. By means of field statistics, the basic data can be determined and effectiveness is also verified. It turns out that this model can accurately identify the operational intention of quayside container crane driver, which is of great significance for studying intelligent auxiliary drive system of port machinery.
목차
1. Introduction
2. Description of Hidden Markov Model
2.1. Markov Chain
2.2. Hidden Markov Model
2.3. Forward-Backward Algorithm
3. Construction of Double-layer HMM
3.1. Loading and Unloading Operation of Crane Driver
3.2. HMM Operational Layer
3.3. HMM Intention Layer
4. Parameter Determination of Double-layer HMM
4.1. Operational Layer HMM (under layer)
4.2. Intention Layer HMM (upper layer)
5. Case Study
6. Conclusion
Acknowledgements
References