Open AccessDynamic Evaluation Technology of Bridge Based on Multi-source Heterogeneous Data Fusion
Author(s) -
Rong Pang,
Yan Yang,
Peng Zhang,
Yuan Yuan,
Zhibin Yu,
Guangwu Tang,
Caizhi Sun,
Aiguo Huang,
K. Han,
Yongquan Jiang,
Dayang Liu
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/638/1/012064
Subject(s) - bridge (graph theory) , computer science , sensor fusion , data source , data mining , graph , multi source , fusion , distributed computing , artificial intelligence , theoretical computer science , medicine , linguistics , philosophy , statistics , mathematics
Based on the multi-source and heterogeneous characteristics of massive state sensing data of bridges, this paper establishes a multi-source heterogeneous bridge state sensing data feature extraction and analysis method. A dynamic evaluation model of bridge technology based on multi-source heterogeneous data fusion is proposed. For the first time, the relationship between multi-source perceptual data and bridge infrastructure technology is established, the knowledge graph of bridge infrastructure technology is constructed, and the relationship between various state-aware data and bridge technology is explicitly expressed by the map. This collaborative association is used to dynamically evaluate and predict bridge technology.