|本期目录/Table of Contents|

[1]张莹,郭红梅,尹文刚,等.考虑属性和空间逻辑的地震灾情数据清洗器设计与实现*[J].地震研究,2021,44(01):78-86.
 ZHANG Ying,GUO Hongmei,YIN Wengang,et al.Design and Implementation of Seismic Disaster Data Cleaner Considering Attributes and Spatial Logic[J].Journal of Seismological Research,2021,44(01):78-86.
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考虑属性和空间逻辑的地震灾情数据清洗器设计与实现*(PDF/HTML)

《地震研究》[ISSN:1000-0666/CN:53-1062/P]

卷:
44
期数:
2021年01期
页码:
78-86
栏目:
出版日期:
2021-01-15

文章信息/Info

Title:
Design and Implementation of Seismic Disaster Data Cleaner Considering Attributes and Spatial Logic
作者:
张莹1郭红梅1尹文刚2赵真1胡斌1
(1.四川省地震局,四川 成都 610041; 2.武警警官学院,四川 成都 610213)
Author(s):
ZHANG Ying1GUO Hongmei1YIN Wengang2ZHAO Zhen1HU Bin1
(1.Sichuan Earthquake Agency,Chengdu 610041,Sichuan,China)(2.College of Armed Police Officer,Chengdu 610213,Sichuan,China)
关键词:
地震灾情 数据清洗 属性和空间逻辑 规则引擎 空间聚类
Keywords:
earthquake disaster data cleaning attributes and spatial logic rule engine spatial clustering
分类号:
P315.94
DOI:
-
摘要:
针对目前地震灾情信息普遍存在的质量问题,根据灾情数据的属性逻辑,采用逻辑分离的清洗框架中基于规则引擎的数据清洗方法进行初步清洗; 再从灾情数据的空间逻辑关系出发,通过聚类分析进一步修正数据中存在的错误,弥补基于逻辑分离的清洗框架在孤立点异常检测方面的不足。基于上述规则引擎与空间聚类相结合的清洗技术,设计并实现了一种考虑属性和空间逻辑的地震灾情数据清洗器,并应用于2017年“8·8”九寨沟7.0级地震,分析四川省地震灾情快速上报接收处理系统接收到的客观震感灾情信息。结果表明:地震灾情数据清洗器可快速检测并修正异常的灾情信息,有效提高接收到的灾情数据质量。
Abstract:
Aiming at the general quality problems of the current earthquake disaster information,we use the rules engine-based data cleaning method in the logically separated cleaning framework to perform preliminary cleaning of the disaster data according to the attribute logic of disaster data.Then starting from the spatial logical relationship of disaster data,we further correct the errors by cluster analysis,which can make up for the shortcomings of outlier detection based on logical separation cleaning framework.By the cleaning technology combining the above rule engine and spatial clustering,we designed and implemented an earthquake disaster data cleaner that considers attributes and spatial logic,and applied it to the 2017 “Agu.8” Jiuzhaigou M7.0 strong earthquake to analyze the objective seismic sensation disaster information received by the Sichuan earthquake rapid report receiving and processing system.The results show that the earthquake disaster data cleaner can quickly detect and correct abnormal disaster information,and effectively improve the quality of the received disaster data.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2020-04-02
基金项目:“十三五”国家重点研发计划项目课题(2017YFC1500905)、中国地震局地震工程与工程振动重点实验室重点专项(2019EEEVL0102)和四川地震科技创新团队专项(201901)联合资助.
更新日期/Last Update: 2021-01-15