基于Python语言的大数据智能分析系统设计  被引量:3

Design of Big Data Intelligent Analysis System Based on Python Language

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作  者:黎小花[1] LI Xiaohua(Tongren Polytechnic College,Tongren Guizhou 554300,China)

机构地区:[1]铜仁职业技术学院,贵州铜仁554300

出  处:《信息与电脑》2022年第5期169-171,共3页Information & Computer

基  金:基于大数据技术分析用户线下场景消费行为——铜仁土特产销售(项目编号:铜市科研[2020]121号)。

摘  要:科学信息技术进步推动了大数据智能化发展,以往的分析过程主要依赖人力,分析效果较差且容易存在分析误差,在这种情况下智能分析系统应运而生,常规智能分析系统的分析效果较差,不符合大数据需求,因此基于Python语言设计了新的大数据智能分析系统,硬件部分设计了CMOS图像传感器、MEMS探测器和DM8148信号处理芯片,软件部分首先分析了大数据智能分析平台的需求,其次采集了智能分析数据,基于Python语言设计了智能分析架构,最后设计了智能分析功能模块。进行系统测试,结果表明,设计的智能分析系统的分析效果较好,具有一定的应用价值,可以作为后续各个领域智能分析的参考。The advancement of scientific information technology has promoted the intelligent development of big data. In the past, the analysis process mainly relied on manpower. The analysis effect was poor and analysis errors were prone to exist. In this case, the intelligent analysis system came into being. The analysis effect of the conventional intelligent analysis system It is poor and does not meet the needs of big data. Therefore, a new big data intelligent analysis system is designed based on the Python language.The hardware part is designed with CMOS image sensor, MEMS detector and DM8148 signal processing chip. The software part first analyzes the big data intelligent analysis platform. Secondly, we collected intelligent analysis data, designed an intelligent analysis architecture based on the Python language, and finally designed an intelligent analysis function module. The system test results show that the designed intelligent analysis system has a good analysis effect, has certain application value, and can be used as a reference for subsequent intelligent analysis in various fields.

关 键 词:PYTHON语言 大数据 智能分析系统 

分 类 号:TM72[电气工程—电力系统及自动化] TP391.3[自动化与计算机技术—计算机应用技术]

 

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