风电场监控系统异步协同数据迁移方法

Asynchronous Collaborative Data Migration Method for Wind Farm Monitoring System

本文介绍了一种创新的风电场监控系统异步协同数据迁移方法及其配套装置,旨在解决传统数据迁移过程中效率低下和系统稳定性差的问题。这一方法涵盖从源主机到目标主机的预处理、基于迁移策略的多任务并行数据迁移,以及迁移后目标主机数据库的完整性验证。特别地,它包含了环境检测、数据抽取与转换、数据转换结果的验证、数据库的备份和清表等关键步骤。通过高效的任务编排和调度,本方法显著降低了操作人员的工作量,同时确保了旧监控系统与新智慧系统的无缝对接和平稳运行。本研究对风电场监控系统在智慧化升级过程中的数据迁移提供了一种高效、可靠的解决方案,具有重要的实际应用价值和创新意义。

This thesis presents an innovative asynchronous collaborative data migration method for wind farm monitoring system and its supporting device,which aims to solve the problems of inefficiency and poor system stability in the traditional data migration process.This method covers preprocessing from the source host to the target host,multi-task parallel data migration based on migration policies,and integrity verification of the target host database after migration.In particular,it contains key steps such as environment detection,data extraction and conversion,validation of data conversion results,database backup and table clearing.Through efficient task orchestration and scheduling,this method significantly reduces the workload of the operators,while ensuring the seamless connection and smooth operation of the old monitoring system and the new intelligent system.This study provides an efficient and reliable solution for data migration of wind farm monitoring system in the process of intelligent upgrade,which has important practical application value and innovative significance.