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Bridge Monitoring Data Analysis Based on Apriori Algorithm
With the rapid development of transportation, more and more bridges have been built, the problem of bridge health monitoring has became one of the most important thing in civil engineering field of current research. Many bridges installed monitoring sensors, a large amount of data collected during the operation, how to use the monitoring date of bridges effectively, for providing scientific data support to the operation and maintenance of the bridges, this thesis has established an Apriori model to search the rules potential, at first, thought dealing with the database in the early period, then, establishment of a given bridge state Apriori evaluation model, Digging out association rules between each attribute potential, we can effectively diagnosis bridge condition and realize the structure change of the bridge in time by using the rules potentially, then we can provide more data supporting evidence and the early warning before the hazardous happen to bridge maintenance personnel has a certain practical value.
Bridge Monitoring Data Analysis Based on Apriori Algorithm
With the rapid development of transportation, more and more bridges have been built, the problem of bridge health monitoring has became one of the most important thing in civil engineering field of current research. Many bridges installed monitoring sensors, a large amount of data collected during the operation, how to use the monitoring date of bridges effectively, for providing scientific data support to the operation and maintenance of the bridges, this thesis has established an Apriori model to search the rules potential, at first, thought dealing with the database in the early period, then, establishment of a given bridge state Apriori evaluation model, Digging out association rules between each attribute potential, we can effectively diagnosis bridge condition and realize the structure change of the bridge in time by using the rules potentially, then we can provide more data supporting evidence and the early warning before the hazardous happen to bridge maintenance personnel has a certain practical value.
Bridge Monitoring Data Analysis Based on Apriori Algorithm
Ye, Qing (Autor:in) / Zhan, Qiang (Autor:in) / Liu, Feng (Autor:in) / Song, Zan (Autor:in)
2013
5 Seiten
Aufsatz (Konferenz)
Englisch
Bridge Monitoring Data Analysis Based on Apriori Algorithm
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