1. 毕业设计（论文）的内容和要求

针对无人智能车气味源搜寻定位在各种工业场景中得到越来越广泛的应用，提出一种基于浓度变化的自适应学习的算法，要求在时变的流场中，设计实验进行验证，进行比对分析，证明算法的性能相对于标准算法具有较大提升。

2. 参考文献

[1] Tixier J, Dusserre G, Salvi O, et al. Review of 62 risk analysis methodologies of industrial plants [J]. Journal of Loss Prevention in the Process Industries, 2002, 15(4):291-303. [2] Yang J C, Chang P E, Chie W C, et al. Largescale Search Method for Locating and Identifying Fugitive Emission Sources in Petrochemical Processing Areas[J]. Process Safety Environmental Protection, 2016, 104:382-394. [3] Gong D W, Qi C L, Zhang Y, et al. Modified particle swarm optimization for odor source localization of multi-robot[C]// Evolutionary Computation. IEEE, 2011:130-136. [4] Ma D, Tan W, Wang Q, et al. Location of contaminant emission source in atmosphere based on optimal correlated matching of concentration distribution [J]. Process Safety Environmental Protection, 2018. [5] Lilienthal A, Duckett T. Building gas concentration gridmaps with a mobile robot [J]. Robotics Autonomous Systems, 2004, 48(1):3-16. [6] Yuan J, Oswald D, Li W. Autonomous tracking of chemical plumes developed in both diffusive and turbulent airflow environments using Petri nets[J]. Expert Systems with Applications, 2015, 42(1):527-538. [7] Cui G, Zhang X, Liu Y, et al. Research on the mobile robot's odor source localization by biomimetics[C]// IEEE International Conference on Robotics and Biomimetics. IEEE, 2011:1160-1164. [8] Marques L, Nunes U, Almeida A T D. Olfaction-based mobile robot navigation [J]. Thin Solid Films, 2002, 418(1):51-58. [9] Russell R A, Thiel D, Deveza R, et al. A robotic system to locate hazardous chemical leaks[C]// IEEE International Conference on Robotics and Automation, 1995. Proceedings. IEEE, 1995:556-561 vol.1. [10] Kowadlo G, Russell R A. Robot Odor Localization: A Taxonomy and Survey [J]. Int.j.robotics Research, 2008, 27(8):869-894. [11] Ishida H, Suetsugu K, Nakamoto T, et al. Study of autonomous mobile sensing system for localization of odor source using gas sensors and anemometric sensors[J]. Sensors Actuators A Physical, 1994, 45(2):153-157. [12] Meng, Qing Hao, Li, Fei, Zhang, Ming Lu, 等 . Study on Realization Method of Multirobot Active Olfaction in Turbulent Plume Environments[J]. Acta Automatica Sinica, 2008, 34(10):1281-1290. [13] Zhang X J, Zhang M L, Meng Q H, et al. A gas/odor source localization strategy for mobile robot based on animal predatory behavior[J]. Robot, 2008, 30(3):268-272. [14] Norouzzadeh M S, Ahmadzadeh M R, Palhang M. Notice of Retraction Plowing PSO: A novel approach to effectively initializing particle swarm optimization[C]// IEEE International Conference on Computer Science and Information Technology. IEEE, 2010:705-709. [15] Marques L, Nunes U, Almeida A T. Particle swarm-based olfactory guided search[J]. Autonomous Robots, 2006, 20(3):277-287. [16] Chen Y, Cai H, Chen Z, et al. Using multirobot active olfaction method to locate timevarying contaminant source in indoor environment[J]. Building Environment, 2017, 118:101-112. [17] E. Ozcan, and C. K. Mohan, ”Analysis of a simple particle swarm optimization system,” Intelligent Engineering Systems through Artificial Neural Networks, 1998, pp. 253-258. [18] Apeldoon, Methods for the calculation of physical effects of the escape of dangerous materials [M], 1979

3. 毕业设计（论文）进程安排

2019.1.01-2019.2.20 查阅资料，了解关于无人智能车气味源搜寻定位算法的相关知识； 2019.2.21-2019.3.10 撰写开题报告，完成英文文献翻译任务； 2019.3.11-2019.4.25 掌握关于定位算法理论知识及分析； 2019.4.26-2019.5.15 建立模拟用的时变流场，进行验证； 2019.5.16-2019.6.10 完成毕业论文撰写任务