Research on the Construction Method of Human Body Posture Examples Based on Improved Flower Pollination Algorithm andK-means

doi:10.3969/j.issn.1000-1093.2018.12.020

Abstract

Abstract: For the poor task pertinence of present construction methods of human body posture examples in the simulation verification of equipment maintainability, a construction method of human body posture examples based on improved flower pollination algorithm (IFPA) and K-means is proposed. An IFPA is proposed by introducing the crow search algorithm (CSA) into FPA in order to improve the optimization accuracy of FPA. Test results show that IFPA can achieve wider search space and higher optimization accuracy compared with particle swarm optimization (PSO) and FPA. In order to avoid K-means falling into locally optimal solutions easily, the calculation steps of IFPA are designed by proposing an individual encoding method and defining an individual operation function, and IFPA is combined with K-means to deal with the clustering problem of maintenance postures of maintenance staff. The central data of each cluster is extracted, and it is taken as the input data of part activity of human body posture examples. And the human body posture examples having task pertinence for equipment maintainability simulation verification are constructed. Test results show that the proposed construction method for the human body posture examples based on PSO and K-means has better optimization accuracy and clustering effects compared with the other five construction methods, and it is suitable for the engineering practice of equipment maintainability simulation verification. Key

Key words: humanbodypostureexample, flowerpollinationalgorithm, crowsearchalgorithm, clusteringalgorithm, maintainabilityverification

CLC Number:

XU Da, JIAO Qing-long. Research on the Construction Method of Human Body Posture Examples Based on Improved Flower Pollination Algorithm andK-means[J]. Acta Armamentarii, 2018, 39(12): 2459-2469.

References

［1］ Geng J, Zhou D, LYU C, et al. A modeling approach for maintenance safety evaluation in a virtual maintenance environment［J］. Computer-Aided Design, 2013, 45(5): 937-949.
［2］ Osterlund J, Lawrence B. Virtual reality: avatars in human spaceflight training ［J］. Acta Astronautica, 2012, 71:139-150.
［3］ Giuseppe D G, Rocco M, Andrea T. Form virtual reality to web-based multimedia maintenance manuals［J］, International Journal on Interactive Design and Manufacturing, 2013, 7(3): 183-190.
［4］于海全, 彭高亮, 刘文剑. 基于虚拟环境的维修性信息模型的建立［J］. 兵工学报, 2010, 31(7): 998-1002.
YU Hai-quan, PENG Gao-liang, LIU Wen-jian. Research on the maintainability information model based on VR［J］. Acta Armamentarii, 2010, 31(7): 998-1002. (in Chinese)

［5］陆中. 民用飞机维修性并行设计关键技术研究［D］. 南京: 南京航空航天大学, 2008.
LU Zhong. Research on key technologies of maintainability concurrent design for civil aircraft［D］. Nanjing: Nanjing University of Aeronautics and Astronautics, 2008. (in Chinese)

［6］朱罗锋. 民机虚拟维修训练系统及其关键技术研究［D］. 南京: 南京航空航天大学, 2008.
ZHU Luo-feng. Research on virtual maintenance training system of civil aircraft and its key technologies［D］. Nanjing: Nanjing University of Aeronautics and Astronautics, 2008. (in Chinese)
［7］于文龙. 民航飞机大型结构件维修性研究［D］. 天津: 中国民航大学, 2014.
YU Wen-long. Analysis on maintenance of large civil aircraft structures［D］. Tianjin: Civil Aviation University of China, 2014. (in Chinese)

［8］刘启越, 孙有朝. 基于虚拟仿真的民机驾驶舱人机工效评价技术研究［J］. 中国民航飞行学院学报, 2014, 25(2): 8-11.
LIU Qi-yue, SUN You-chao. Research on ergonomics evaluation techniques of aircraft cockpit based on virtual simulation［J］. Journal of Civil Aviation Flight University of China, 2014, 25(2): 8- 11. (in Chinese)

［9］沈亚斌, 张洋, 李洁民. 基于动态虚拟现实技术的维修性评估验证系统研究［J］. 直升机技术, 2011, 168(3): 36-41.
SHEN Ya-bin, ZHANG Yang, LI Jie-min. Research on the maintainability verification system based on dynamic virtual reality technology［J］. Helicopter Technique, 2011, 168(3): 36-41. (in Chinese)
［10］ Maleeha K, Sing L T, Chee S C, et al. Human posture classification using hybrid particle swarm optimization［C］∥Proceedings of the 10th International Conference on Information Science, Signal Processing and their Applications. Kuala Lumpur, Malaysia: IEEE, 2010: 778-781.
［11］ Moustafa Z, Aboul E H, Amr B, et al. Human activity classification approach on smartphone using monkey search algorithm［C］∥Proceedings of the 7th International Conference on Advanced Communication and Networking. Kota Kinabalu, Malaysia: IEEE, 2015: 84-88.
［12］ Moataz K, Aboul E H, Amr B. Accelerometer-based human activity classification using water wave optimization approach［C］∥Proceedings of the 11th International Computer Engineering Conference. Cario, Egypt: IEEE, 2015: 175-180.
［13］ Yang X S. Flower pollination algorithm for global optimization［J］. Lecture Notes in Computer Science, 2012, 7445(1): 240- 249.
［14］ Yang X S, Karamanoglu M, He X S. Flower pollination algorithm: a novel approach for multiobjective optimization［J］. Engineering Optimization, 2014, 46(9): 1222-1237.
［15］ Saxena P, Kothari A. Linear antenna array optimization using flower pollination algorithm［J］. SpringerPlus, 2016, 5: 306-320.
［16］ Wanthanee R, Supakit N. Comparison solving discrete space on flower pollination algorithm, PSO and GA［C］∥Proceedings of the 8th International Conference on Knowledge and Smart Technology. Chiangmai, Thailand: IEEE, 2016: 18-21.
［17］焦庆龙, 徐达, 李闯. 基于花朵授粉算法的产品拆卸序列规划［J］. 计算机集成制造系统, 2016, 22(12): 2791-2799.
JIAO Qing-long, XU Da, LI Chuang. Product disassembly sequence planning based on flower pollination algorithm［J］. Computer Integrated Manufacturing Systems, 2016, 22(12): 2791-2799. (in Chinese)
［18］ Alireza A. A novel metaheuristic method for solving constrained engineering optimization problems: crow search algorithm［J］. Computers and Structures, 2016, 169(C): 1-12.
［19］ Almoataz Y, Abdelaziz, Ahmed F. A novel approach based on crow search algorithm for optimal selection of conductor size in radial distribution networks［J］. Engineering Science and Techno- logy, 2017, 20(2): 391-402.
［20］ Liu D, Liu C L, Fu Q, et al. ELM evaluation model of regional groundwater quality based on the crow search algorithm［J］. Ecological Indicators, 2017, 81:302-314.
［21］ Eberhart R C, Kennedy J. A new optimizer using particle swarm theory［C］∥Proceedings of the 6th International Symposium on Micro Machine and Human Science. New York, NJ, US: IEEE, 1995: 39-43.
［22］肖辉辉, 万常选, 段艳明, 等. 基于模拟退火的花朵授粉优化算法［J］. 计算机应用, 2015, 35(4): 1062-1066, 1070.
XIAO Hui-hui, WAN Chang-xuan, DUAN Yan-ming, et al. Flower pollination algorithm based on simulated annealing［J］. Journal of Computer Applications, 2015, 35(4): 1062-1066, 1070. (in Chinese)
［23］ MacQueen J B. Some methods for classification and analysis of multivariate observations［C］∥Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability. Los Angeles, CA, US: University of California, 1967: 281-297.
［24］刘靖明, 韩丽川, 侯立文. 基于粒子群的K均值聚类算法［J］. 系统工程理论与实践, 2005, 25(6): 54-58.
LIU Jing-ming, HAN Li-chuan, HOU Li-wen. Cluster analysis based on particle swarm optimization algorithm［J］. Systems Engineering-Theory & Practice, 2005, 25(6): 54-58. (in Chinese)
［25］ Maroua K, Moez T, Nizar A. Disassembly sequence planning based on a genetic algorithm［J］. Natural Computing, 2017, 16(1): 45-59.
［26］ Carlos M, Krishnanand N K, Zhao B X, et al. Toward safe human robot collaboration by using multiple kinects based real-time human tracking［J］. Journal of Computing and Information Science in Engineering, 2014, 14(1): 1-9.
［27］ Yang X S. A new metaheuristic bat-inspired algorithm［J］. Computer Knowledge & Technology, 2010,284: 65-74.

第39卷第12期
2018 年12月兵工学报ACTA
ARMAMENTARIIVol.39No.12Dec.2018

[1]	MA Weining, HU Qiwei, CHEN Jing, JIA Xisheng. Joint Optimization of Selective Maintenance Decision and Mission Assignment for Equipment Groups [J]. Acta Armamentarii, 2024, 45(2): 407-416.
[2]	ZHANG Kun, DU Ruiyi, SHI Haotian, HUA Shuai. Prediction of Aircraft Trajectory Based on Mogrifier-BiGRU [J]. Acta Armamentarii, 2024, 45(2): 373-384.
[3]	XIAO Wangang, ZHOU Yunbo, FU Yaoyu, ZHANG Ming, ZHOU Jun, GE Jitao. Analysis of the Influence of Soil on the Maneuverability of Military Off-road Vehicles [J]. Acta Armamentarii, 2024, 45(1): 288-298.
[4]	LI Xu, LIU Yan, YAN Junbo, SHI Zhenqing, WANG Hongfu, XU Yingliang, HUANG Fenglei. The Meso-scale Modeling Method for Concrete Based on Block Division and Parallel Filling and Its Application in High-speed Penetration [J]. Acta Armamentarii, 2023, 44(12): 3543-3561.
[5]	LI Ye, ZHENG Chun, MA Changsheng, QIU Rongxian. Target Assignment Model for High-Power Microwave Weapon System and Medium and Short-range Air Defense Weapons in Cooperative Combat Based on Maximizing Interception Efficiency [J]. Acta Armamentarii, 2023, 44(11): 3489-3497.
[6]	WEI Jianfeng, ZHANG Faping, LU Jiping, YANG Xiangfei, YANG Pengkai. Fault Diagnosis for Gun’s Anti-recoil Device Based on Gaussian Model and RMSD-DS [J]. Acta Armamentarii, 2023, 44(10): 3101-3114.
[7]	ZHANG An, XU Shuangfei, BI Wenhao, XU Han. Weapon-target Assignment and Guidance Sequence Optimization in Air-to-Ground Multi-target Attack [J]. Acta Armamentarii, 2023, 44(8): 2233-2244.
[8]	LIU Shengyu, QI Xiaogang, LIU Lifang. Multi-objective Joint Optimization of Resource Allocation and Task Scheduling for Accompanying Repair [J]. Acta Armamentarii, 0, (): 0-0.
[9]	WU Weiyi, JIA Yunxian, SHI Xianming, LIU Bin, LIU Jie, YIN Shizhuang, ZHU Xi. Optimization of Two-Echelon Configuration of Maintenance Supply for Synthetic Forces based on Task Evolution Importance [J]. Acta Armamentarii, 2023, 44(2): 591-604.
[10]	YANG Huadong, ZHOU Mo, SUN Haiwen. Integrated Design Method for Warship Platform Maneuver Route and Missile Attack Path [J]. Acta Armamentarii, 2022, 43(S2): 7-12.
[11]	HE Jiawei, ZHAI Junyi, GAO Weipeng, LI Ye. Numerical Simulation of Flow Characteristics of the Underwater Vehicle with a Cylindrical Structure Based onDifferent Turbulence Models [J]. Acta Armamentarii, 2022, 43(S2): 53-63.
[12]	XU Tongle, LIU Fang, XIAO Yujie， WANG Shen, BAI Yihui, LUO Rong. Foreign Unmanned Equipment and Technology Development in Mine Countermeasures [J]. Acta Armamentarii, 2022, 43(S2): 64-70.
[13]	LI Ye, ZHENG Chun, TENG Zhe， GU Xiaodong, LUO Rong, XIN Zeyu. Cooperative Combat Effectiveness Assessment of High-Power Microwave Weapons and Medium- and Short-Range Air DefenseWeapons Based on Fuzzy Wavelet Neural Networks [J]. Acta Armamentarii, 2022, 43(S2): 87-96.
[14]	LEI Liang, ZHOU Danfa, ZHANG Ying, GU Cunfeng, LIU Rui. Life Cycle Cost Analysis and Control Strategy of Missile Weapons [J]. Acta Armamentarii, 2022, 43(S2): 107-114.
[15]	CAO Junhai, ZHANG Chuang, LI Yantong, GUO Yiming, GUO Qingyi. Combinatorial Optimization Methods for Determining the Pre-storage Location and Pre-setting the Distribution of EquipmentMaintenance Materials [J]. Acta Armamentarii, 2022, 43(10): 2668-2678.