[1]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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Design and Implementation of Seismic Disaster Data Cleaner Considering Attributes and Spatial Logic
Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume:
44
Number of periods:
2021 01
Page number:
78-86
Column:
Public date:
2021-01-15
- Title:
- Design and Implementation of Seismic Disaster Data Cleaner Considering Attributes and Spatial Logic
- Keywords:
- earthquake disaster; data cleaning; attributes and spatial logic; rule engine; spatial clustering
- CLC:
- P315.94
- DOI:
- -
- 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.
- References:
- -
- Similar References:
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Last Update:
2021-01-15