1. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China; 2. China Special Equipment Inspection and Research Institute, Beijing, 100029, China
Clc Number:
TP391
Fund Project:
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Abstract:
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.