Python多进程编程技术在第三次全国国土调查县级数据库质检中的应用  

Application of Python Multi-process Programming Technology in County-Level Database Quality Inspection of the Third Nationwide Land Survey

作　　者：黄彦锋 陈秀萍 HUANG Yanfeng;CHEN Xiuping(Yunnan Provincial Quality Inspection Station of Surveying and Mapping Products,Kunming 650034,China)

机构地区：[1]云南省测绘产品检测站,云南昆明650034

出　　处：《昆明冶金高等专科学校学报》2021年第1期45-49,63,共6页Journal of Kunming Metallurgy College

摘　　要：数据库质检是第三次全国国土调查成果质量检查的关键环节。由于第三次全国国土调查工作工期极短,调查作业单位和各级质检单位工作压力巨大,除了国家统一提供的数据库质检软件外,利用成熟的专业质检软件来高效快速地对县级数据库进行质量检查成为迫切需要解决的问题。县级数据库中的地理信息空间数据分析计算密集度较高,单进程或单线程质检软件难以满足实际需要。使用Python的多进程编程技术,可充分利用本机计算资源,发挥多核CPU或多路CPU的计算能力,大幅度提高自动检验的效率,实现地理信息数据库的快速质检。Database quality inspection is a key to ensure the quality of the third nationwide land survey.Due to the tight schedule of the third nationwide land survey,both the survey units and the quality inspection units at all levels are faced up with tremendous pressure.In addition to the database quality inspection software provided by the state,there is no mature professional quality inspection software.An urgent problem to be solved is how to improve testing efficiency and speed of the county-level database.The analysis and calculation of geographic information spatial data in county-level database is highly intensive,and the single process or single thread quality inspection software is difficult to meet the actual needs.Using Python s multi-process programming technology can make full use of the local computing resources,give full play to the computing power of multi-core CPU or multi-channel CPU,greatly improve the efficiency of automatic inspection,and realize the rapid quality inspection of geographic information database.

关 键 词：PYTHON 多进程 数据库 质检软件 多核 多CPU 

分 类 号：TP312[自动化与计算机技术—计算机软件与理论] P208[自动化与计算机技术—计算机科学与技术]