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基于大数据技术精细化社会治理系统研究

2021-08-09赵志海

粘接 2021年6期

赵志海

摘 要:为解决常用系统管理大数据时存储器容量较小,不能满足大数据存储需求,导致系统运行的并发性和可扩展性较差的问题,设计了基于大数据技术的精细化社会治理系统。硬件设计方面,采取分块模式设计系统总体结构,通过接口板和存储板组成大数据存储器,选取Virtex-4 FPGA芯片作为存储板内部芯片,优化存储板PCB布局,扩增存储器容量,满足大数据大容量存储需求;软件设计方面,通过网络爬虫采集社会治理相关大数据,预处理大数据并对其进行分类,得到精细化数据项,为社会治理工作提供数据支持。设置对比实验,结果表明,设计系统执行大数据写入/读取操作时,提高了并行加速度,扩展比更接近1,并发性和可扩展性优于常用系统。

关键词:社会治理;模块结构;存储板;大数据预处理;精细化数据项

中图分类号:TP311.13              文献标识码:A                     文章编号:1001-5922(2021)06-0072-05

Abstract:In order to solve the problem that the memory capacity of common systems managing big data is small and can not meet the storage requirements of big data, resulting in poor concurrency and scalability of system operation, a refined social governance system based on big data technology is designed. In terms of hardware design, the overall structure of the system is designed in block mode. The big data memory is composed of interface board and memory board. Virtex-4 FPGA chip is selected as the internal chip of the memory board to optimize the PCB layout of the memory board and expand the memory capacity to meet the demand of big data storage; in terms of software design, through the web crawler to collect social governance related big data, preprocess big data and classify it, get fine data items, provide data support for social governance work. A comparative experiment was set up, and the results showed that when the design system performs big data write/read operations, the parallel acceleration is improved, the expansion ratio is closer to 1, and the concurrency and scalability are better than common systems.

Key words:system design; Module structure; memory board; Big data preprocessing; refined data items

0 引言

社會治理是国家体系的组成部分,完善社会治理体系,必须推进社会治理体系信息化。因此,研究基于大数据技术精细化社会治理系统,将大数据资源运用到生活各个领域,参与到社会治理模式中,使参与社会治理的主体,在工作中做到细致精确,为民众提供优化服务,具有重要意义。

文献[1]采用物联网和云计算等技术,构建城市发展框架,从空间分布角度出发,将城市划分为政府、人群、产业、社区4个子系统,推动城市治理,但该方法构建的系统框架元器件集中,导致系统运行时间较长,并发性较差。……

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