基于数据缓冲池技术的二次设备状态评价数据处理方法

Data processing scheme based on data buffer pool technology for secondary device

提出了一种在主站端针对大量二次设备状态监测数据进行分析、处理、评价的解决方案。通过监测数据解析任务读取监测信息,并从数据库中找到需要进行状态评价的数据对象,将其填入数据缓冲池中,状态评价任务循环访问数据缓冲池,对缓冲池中的数据对象进行处理、评价,完成后将缓冲池中的数据对象和评价结果在数据库中进行更新入库保存,实现了多任务并行处理。通过标记状态评价对象在缓冲池中的任务状态,避免了重复评价相同的数据对象,提高了系统使用效率。

In this paper,a solution is proposed for the analysis,processing and evaluation of a large number of monitoring data of secondary device. By monitoring data analysis task,the monitoring information is read,and the data objects which need to be evaluated is found out,then they are stored into the data buffer pool. After making condition evaluation to each data object in the data buffer pool,condition evaluation task gets the evaluation results of these objects and updates the results in database. Above two tasks are parallel-processing jobs. The task state of the object in the buffer pool is evaluated by using the labeled status,which avoids the same data objects,and improves the efficiency of the system.