Ordering Problem of Vascular Robot Based on Time Series Prediction
DOI: 10.23977/jaip.2022.050402 | Downloads: 12 | Views: 534
Yuting Zhang 1, Xingxiang Liu 1, Ying Dong 1
1 Yan'an University, Yan'an, 716000, China
Corresponding AuthorYuting Zhang
The vascular robot is used to treat diseases related to blood vessels. The vascular robot can carry drugs into blood vessels to treat diseases related to blood vessels. At the same time, the operator needs a week of maintenance before he can continue to work. If the robot is not scheduled to work, it also needs maintenance, which will incur corresponding costs. This paper studies how to determine the number of vessels and manipulators to be purchased in vascular robots under different constraints. Firstly, this paper establishes a multi-step decision-making model and analyzes the best time to purchase the container boat and the operator. Then using the least squares curve fitting to analyze the data, through multivariate linear programming, multi-step decision, integer programming and other methods to solve, finally determine the optimal number of ordering vascular robots.
KEYWORDSFitting curve, Integer programming, Multi-step programming, Time series forecasting model
CITE THIS PAPER
Yuting Zhang, Xingxiang Liu, Ying Dong, Ordering Problem of Vascular Robot Based on Time Series Prediction. Journal of Artificial Intelligence Practice (2022) Vol. 5: 8-14. DOI: http://dx.doi.org/10.23977/jaip.2022.050402.
 Si Shoukui, Sun Zhaoliang, Mathematical Modeling Algorithms and Applications, National Defense Industry Press, 2017.
 Jiang Qiyuan, Xie Jinxing, Ye Jun, Mathematical Model (Fifth Edition), Beijing: Higher Education Press, 2018.
 Chen Wenxue. Research on coupling modeling and deviation correction control method of spiral vascular robot [D]. Jilin University, 2021.
 Jiang Bo, Cai Xiaolong. Data fitting of moving least squares based on MATLAB. Digital Technology and Application, 2015 (10): 110-111.
 Zhang Tao. Application of computer programming software MATLAB in data processing [J]. Electronic Technology and Software Engineering, 2022 (09): 45-48.
 Liu Yue. Research on modeling and control of spiral vascular robot [D]. Jilin University, 2018.
 Hu Zhenzhen, yuan Weilin, Luo Junren, Zou Mingwo, Chen Jing. A decision solving algorithm for combinatorial optimization problems with multiple optimal solutions. Journal of National University of Defense Technology, 2022, 44 (03): 31-40.
 Jiang Fan, Huang Chunyan, Wang Yijun, Hu Yidan. Influence of vascular structure on the external flow field of vascular robot. Science, Technology and Engineering, 2014, 14 (02): 8-13.