面向校园消费数据的可视化分析平台研究

为了提高校园消费数据可视化分析能力和实现校园消费的数据分析和统计,通过接入数据源进行参数初始化设置,提出面向校园消费数据的可视化分析平台。首先设计平台的总体构架,通过C/S模块化设计技术,建立校园消费数据可视化分析平台的服务端和客户端,以此预测评估校园消费数据。对校园消费数据融合调度,计算出校园消费数据的窗口最大容纳量,根据计算结果实现就餐行为和拥挤度预测分析,实现校园消费数据可视化分析平台的开发设计。实验结果表明,所设计的校园消费数据可视化分析平台系统稳定性高,校园消费数据的统计分析结果准确可靠,有效提高了校园消费数据的可视化分析能力。

Research on Visual Analysis System for Campus Consumption Data

In order to improve the visual analysis ability of campus consumption data and realize data analysis and statistics of campus consumption, a visual analysis system based on campus consumption data is proposed by accessing the data source to initialize the parameters. First, the general framework of the system is designed, and the service and the client side of the campus consumption data visualization and analysis system are established through the C/S modular design technology, so as to predict the campus consumption data. For campus consumption data fusion scheduling, the maximum window capacity of campus consumption data is calculated, the dining behavior and congestion degree are predicted and analyzed according to the calculation results, and the development and design of data visual analysis system for campus consumption are realized. The experimental results show that the designed campus consumption data visualization analysis system system has high stability, and the statistical analysis results of campus consumption data are accurate and reliable, which effectively improves the visual analysis ability of campus consumption data.