基于多域并发的时间窗数据采集方法与应用

针对工业数据采集中所涉参数繁多、数据结构复杂、采集频率高但数据质量难以保证等问题，提出了一种基于多域并发的时间窗数据采集方法，该方法基于滑动时间窗口的划分构建数据域模型，以多线程数据域并发的方法实时采集多源异构数据，针对高维度的多源异构数据进行扁平化处理，采用字节数据连接的方式对多源异构数据进行集成存储，实现了工业多源异构数据的采集与集成。通过仿真实验验证了该方法对于实时数据采集与集成存储的有效性，并在冶金起重机多维健康监测系统中应用该方法进行多源异构数据采集，实际运行结果显示，该方法能够提高冶金起重机多维健康数据的采集实时性，保证采集数据的质量，增加多维健康数据的集成度，是一种有效的实时数据采集集成方法。

Time window data acquisition method based on multi-domain concurrency and its application

Aiming at the problems of many parameters, complex data structure, high frequency of acquisition but difficult to guarantee data quality in industrial data acquisition. A time window data acquisition method based on multi-domain concurrency is proposed. This method build a data domain model based on the division of sliding time windows. The multi-source heterogeneous data is acquired by the method of multi-threaded data domain concurrency and processed by flattening and connecting the byte data. Finally, the acquisition and integration of multi-source heterogeneous data is accomplished. The effectiveness of this method for real-time data acquisition and integrated storage is verified by simulation experiments. The method is applied in the multi-dimensional health monitoring system of metallurgical cranes for data acquisition. The actual operation results show that the method can improve the real-time performance of multi-dimensional health data acquisition of metallurgical cranes, ensure the quality of the acquired data and increase the increase integration of multi-dimensional health data. This method is an effective method of real-time data acquisition and integration.