中圖分類(lèi)號(hào): G203 文獻(xiàn)標(biāo)識(shí)碼: A DOI: 10.19358/j.issn.2097-1788.2022.04.005 引用格式: 田學(xué)成,,韓寧. 公安工作疫情流調(diào)大數(shù)據(jù)建模和安全分析[J].網(wǎng)絡(luò)安全與數(shù)據(jù)治理,,2022,41(4):31-36.
Big data modeling and security analysis of epidemic situation investigation in public security work
Tian Xuecheng1,,Han Ning2
(1.Guodian Nanjing Automation Co.,,Ltd.,Nanjing 211100,,China,; 2.Liangzhou Branch of Wuwei Public Security Bureau,Wuwei 733000,,China)
Abstract: In this paper, the original data model is established according to the epidemic flow survey data to quantify the specific needs of epidemic prevention. Based on the MySQL database, multi-condition data filtering,,grouping and data cleaning methods are used, and Pandas, a third-party Python library, is used to filter the epidemiological data. The purpose is to quickly screen the data required for epidemic prevention. Finally, the model data is visually processed to intuitively reflect the epidemiological data. And the security analysis of the transmission of the flow modulation data is made.The data processing method in this paper can be used by grass-roots police to improve the efficiency of big data processing, and is of great significance to epidemic prevention and epidemic control.
Key words : epidemiological data;MySQL,;Pandas,;data filtering;visualization