Big Data Mining Technology from the Perspective of Parallel Computing and Its Application in Boiler Performance Upgrading
1.Department of Computer Science, Xi’an International University , Institute of Technology, Xi’an 710077,
China;2.Department of Computer Public Education,Xi’an International University , Institute of Technology, Xi’
an 710077,China
以600MW燃煤发电机组的大数据挖掘为研究主体,运用符合大数据要求的新计算方法来挖掘负荷工况下会使锅炉效率受到影
响的相关数据,寻找使可调控机组运作的最佳设定值。根据研究结论可知,符合大数据要求的新计算方式能够寻找到锅炉大量数据
运行的优化目标值,可较好的节约能源减少排放,挖掘出的优化目标值是当前最优的。