PHP+MySQL基于WIFI的行人流量检测平台的实施
本系统参考了信息管理系统的开发模式，运行，概念以及体系结构，分析了传统的信息管理系统所存在的缺陷，优选了适合本系统的web技术和数据库。系统的前台开发技术使用了Bootstrap框架，后台为PHP+MySQL，采用ThinkPHP框架。
本系统主要是对于一栋七层楼中假设的一套WiFi设备所进行开发，该套设备能侦测到楼内的所有WiFi设备并进行定位，我们这套系统的目的是要从该套设备的控制器中使用ZMQ的方式读取所有数据，将取得的数据记录下来存入数据库并且可以经过系统处理生成各类图(如热力图，轨迹图等)，同时提供组合查询输出记录的功能并计算区域密度和热度。其中，对于从控制器中取得的原始数据需要进行一定的解析。
毕业论文关键词： 互联网+；WiFi设备；人流密度；定位
Implementation of Flowing Detecting Platform Based on WiFi
Abstract: With the vigorous rise of the Internet +, the computer and Internet technology gradually into the public life, for people's daily work life provides a great convenience. In daily life, smart phones have been very popular, but because traffic costs remain high, it is generally preferred WiFi to connect to the Internet, based on this background, in the crowded places and attractions to establish estimation of crowd density information system has a very important practical significance.
The system reference to the information management system of the development mode, operation, concepts and the structure of the system, analyzes the defects existing in the traditional management information system, optimized for web technology and database of the system. The development technology of the system uses the Bootstrap frame, the background is PHP+MySQL, and the ThinkPHP frame is adopted..
This system is mainly developed for a WiFi device in a building with seven layers, the sets of equipment to detect all WiFi equipment which is in this building and the location of, we set the system is to from the set of equipment controller using ZMQ way to read all the data, record stored in the database and after the system to generate all kinds of maps (such as thermal map, trajectory, etc.), providing a combined query function of the recording output and calculating regional density and heat. Among them, the original data obtained from the controller need to be resolved.
Keywords: Internet+; WiFi Equipment; Crowd Destiny; Location
目录
摘要 i
Abstract i
目录 iii
1 绪论 1
1.1 研究背景 1
1.2 研究目标 1
1.3 论文结构 1
2 技术背景 2
2.1 PHP 2
2.2 MYSQL数据库 3
2.3 ZEROMQ 3
2.4 ALE信号 3
3 系统需求分析 5
3.1 需求分析概要 5
3.2 可行性分析 5
3.3 用例图分析 6
3.4用例描述 6
4 系统总体设计 8
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