基于B/S的信息调查反馈系统的设计与实现
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摘要
在对统计信息的调查反馈中受到信息随机性的干扰,导致反馈的准确性不好,提出一种基于大数据融合和B/S构架的信息调查反馈系统设计方案,在嵌入式Linux内核和B/S构架下进行信息调查反馈系统的软件开发设计,系统的设计分为信息大数据处理算法设计和软件设计两大部分.采用大数据挖掘和模糊聚类分析方法进行信息调查反馈的算法设计.软件设计包括AD模块、底层信息交互模块、数据库模块、人机交互模块和集成信息处理模块等组成,在B/S结构体系下进行信息调查反馈系统的底层数据库构造,采用交叉编译方法进行程序加载和自动编译设计,在总线控制和嵌入式环境下实现软件系统的软件开发.测试结果表明,采用该方法进行信息调查反馈的信息集成处理能力较强,数据融合和挖掘性能较好,反馈结果稳定可靠.
The random interference of information in the investigation feedback of statistical information leads to poor accuracy of feedback. A design scheme of information survey feedback system based on big data fusion and B/S framework is proposed. Based on the embedded Linux kernel and the B/S architecture,the software design of the information investigation and feedback system is carried out. The design of the system is divided into two parts:the algorithm design of information big data processing and the software design. Big data mining and fuzzy clustering analysis are used to design the algorithm of information investigation and feedback. The software design includes AD module,bottom information interaction module,database module,man-machine interaction module and integrated information processing module. The cross compiling method is used for program loading and automatic compiling design in the B/S structure system for information survey feedback system of the underlying database construction.The software development of the software system is realized under the bus control and embedded environment.The test results show that the information integration and processing ability of this method is strong,the performance of data fusion and mining is better,and the feedback results are stable and reliable.
The random interference of information in the investigation feedback of statistical information leads to poor accuracy of feedback. A design scheme of information survey feedback system based on big data fusion and B/S framework is proposed. Based on the embedded Linux kernel and the B/S architecture,the software design of the information investigation and feedback system is carried out. The design of the system is divided into two parts:the algorithm design of information big data processing and the software design. Big data mining and fuzzy clustering analysis are used to design the algorithm of information investigation and feedback. The software design includes AD module,bottom information interaction module,database module,man-machine interaction module and integrated information processing module. The cross compiling method is used for program loading and automatic compiling design in the B/S structure system for information survey feedback system of the underlying database construction.The software development of the software system is realized under the bus control and embedded environment.The test results show that the information integration and processing ability of this method is strong,the performance of data fusion and mining is better,and the feedback results are stable and reliable.
引文
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[3]郑鑫,徐慧娟. VANET中基于分布式的分簇的路由机制[J].现代电子技术,2016,39(4):16-20.
[4]骆方舟.基于.net技术的高校智慧教室管理系统设计与实现[J].长春大学学报,2018,28(8):15-20+24.
[5]TEJANI G G,SAVSANI V J,PATEL V K.Adaptive Symbiotic Organisms Search(SOS)algorithm for structural design optimization[J]. Journal of Computational Design and Engineering,2016,3(3):226-249.
[6]郑春.基于网络行为分析的网络管理系统设计与研究[J].长春大学学报,2018,28(12):48-53.