Intelligent Integration Method for Multi-Source Data in the Operation of Water Conservancy Hubs Based on Cloud Computing
Due to the heterogeneous nature of multi-source data in the operation of water conservancy hubs,the integration process often faces the problem of information loss.To address this,an intelligent integration method for multi-source data in the operation of water conservancy hubs based on cloud computing is proposed.Using the AWS Lambda serverless cloud computing platform,the multi-source data from the water conservancy hub operation is standardized into CSV format and converted into table form within the AWS Lambda cloud storage system database.By granting function execution permissions to IAM roles,the data in the S3 storage buckets is integrated using the weight information of the data.Test results show that when using the designed integration method,there is no significant fluctuation in the packet loss rate of various data types,and the overall packet loss rate remains consistently at a low level of below1.5%.
cloud computingwater conservancy huboperation of multi-source dataintelligent integrationAWS Lambda serverless cloud computing platformdata formatIAM role
万方数据
维普
