近红外分析网络共享平台中复杂工作流实现算法

Implementation algorithm of complex workflow in network sharing platform of near-infrared analysis

近红外分析共享平台中的采集工作流是一个以数据为中心的工作流。对系统中复杂采集工作流的跳转执行过程进行了详细分析,针对自由工作流跳转造成的数据和状态不一致性的问题,提出了一个任务执行优先关系算法,计算采集工作流中各个活动任务执行次序关系值,并构造一个执行次序关系树,记录各任务活动的状态信息;在流程回退、撤销、跳转时保证了数据和状态的一致性,较好地实现了跨任务活动的跳转。应用结果表明,此算法能够正确高效地实现复杂流程的跳转。

The collection process of the the network sharing platform of near-infrared analysis could be considered as a data-centric workflow, this paper analyzed and discussed the execution of the process transmission in detail; In accordance with the inconsistencies of data and states that caused by jump of free workflow, this paper presented an algorithm of task execution priority to ascertain the priority of the task execution in the collection workflow, and constructed a task execution priority tree to store the state information of each task. It guaranteed the consistencies of data and states when the process was needed to rollback, cancel or jump, and achieved the jump of complex process between the task activities correctly and high efficienctly. This paper applied the method to the network sharing platform of near-infrared analysis. The results show that the presented algorithm is better than other methods.