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RFID的盲人导航系统路径搜索设计+物联网路径规划算法

更新时间:2011-10-25:  来源:毕业论文

Route Planning in Handheld Blind Navigation System Based on RFID ABSTRACT
With the increasing of the number of urban population, he blind of this special group has the focus of society. Blind travel has been a major problem to the blind especially to some place far distance slightly, usually feel inadequate.
A route planning algorithm for blind navigation system with internet of things technolog is proposed.Shortest-path algorithm using as a basis for the traveling of the blind providing the most reasonable path. The research significance lies in: on the one hand, determine the weights on road network through multi-factor fuzzy algorithm, the road ways to human factors level set. On the other hand, according to the spatial distribution characteristics of road network, reasonable utilization of rectangular limited search algorithm to limit the search area which can reduce computing workload.algorithm,relational database as the storage mode can reduce the storage space database, combining with its practical applications in blind navigation system.An actual example is given.
Generally speaking,the best way for reasonable path set method is to try to reduce search range which is with reasonable database are quick search and obtains reasonable path sets. Finally, using the simulation experiment and example analysis verify the correctness of the algorithm.
Key word: The Internet of things Shortest-path algorithm Relational database Multi-factor fuzzy algorithm Restricted searching area原文请+QQ32491,14六,维~论^文"网
目  录
摘  要 I
ABSTRACT II
1  绪论 1
1.1 盲人出行问题的提出 1
1.2 国内外发展现状 1
1.2.1 国外发展现状 1
1.2.2 国内发展现状 2
1.3 本人主要研究工作 2
2  系统方案 3
2.1 主要功能 3
3  数据库实现原理 5
3.1 sqlite数据库介绍 5
3.2 sqlite数据库的移植 5
3.3 数据库实现原理 6
3.4 数据库的实际应用 8
4  算法设计 10
4.1 Dijkstra算法设计 10
4.1.1 Dijkstra算法介绍 10
4.1.2 Dijkstra算法描述 10
4.1.3 Dijkstra算法在盲人导航中的实际应用 11
4.2 多因素模糊算法 16毕业论文http://www.lwfree.cn/
4.2.1 多因素模糊算法的提出 16
4.2.2 多因素模糊算法的数学模型 16
4.2.3 多因素模糊算法的实际应用 17
4.3 限制搜索区域的Dijkstra算法 18
4.3.1 限制搜索区域 18
4.3.2 椭圆算法的利用 18
4.3.3 矩形算法的利用 19
5  仿真及实验结果分析 23
6  总结 25
参考文献 26
附  录 27
谢  辞 36,2113

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