基于物联网技术的停车场车辆智能导航系统

发布时间：2018-02-26 09:29

本文关键词： 车辆导航物联网技术超声波检测最佳路径算法　出处：《长春理工大学》2014年硕士论文　论文类型：学位论文

【摘要】：本文分析了现今智能停车场系统面临的主要问题,对现有的智能停车场系统进行了大量的对比研究,本文提出了一种基于物联网ZigBee技术的、先进的停车场车辆智能导航系统方案,解决了用户在停车场内快速寻找到停车位的问题。本文选择了高性能的ZigBee通信芯片CC2530与超声波传感器相连接,构造出车位检测节点,各个车位检测节点可以通过自组网的方式构造覆盖整个停车场的ZigBee数据传输网络。停车位检测节点设计了采用高精度超声波车位检测的方案,可以对停车位的占用情况进行监测。为了提高在停车场复杂环境下车辆导航的效率,本文对车辆路径规划的最佳路径算法进行了研究,对已经存在的路径规划算法进行的比较和分析,综合考虑之后提出了一个新颖的最佳路径搜索算法改进方案。通过实验仿真,对比算法速度可以得出,此算法在算法效率和实时性上有着巨大的优势。
[Abstract]:This paper analyzes the main problems faced by the intelligent parking system, makes a lot of comparative research on the existing intelligent parking system, and puts forward a new kind of intelligent parking system based on the Internet of things (ZigBee) technology. The advanced intelligent navigation system for parking vehicles solves the problem that users can quickly find parking space in the parking lot. In this paper, the high performance ZigBee communication chip CC2530 is selected to connect with the ultrasonic sensor, and the parking spot detection node is constructed. Each parking spot detection node can construct the ZigBee data transmission network covering the whole parking lot by means of ad hoc network. The occupation of parking spaces can be monitored. In order to improve the efficiency of vehicle navigation in complex parking environment, this paper studies the optimal path algorithm of vehicle path planning, and compares and analyzes the existing path planning algorithm. After a comprehensive consideration, a novel improved algorithm of optimal path search is proposed. Through experimental simulation, comparing the speed of the algorithm, it can be concluded that this algorithm has great advantages in efficiency and real-time performance.
【学位授予单位】：长春理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U491.71;U495

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