Thermal power production data management method and system based on data center

Abstract

The invention discloses a thermal power production data management method and system based on a data medium station, and the method comprises the steps: obtaining the information of thermal power plant unit equipment and a business system in the data medium station, and the historical and real-time production data of the unit equipment and the business system; constructing a thermal power plant data governance directory system, and standardizing historical and real-time production data; establishing a thermal power plant data quality management model; establishing a production data standard and a management specification by combining governance scenes and historical production data of unit equipment and a business system of a thermal power plant, and screening problem data in real-time production data; performing problem tracing on the problem data according to the thermal power plant data quality management model, and performing decision making on related unit equipment and a service system. The consistency and efficiency of production data management can be improved, the data problem is monitored in time and solved fundamentally in time, and unit equipment and a service system execution mechanism are promoted to run continuously and effectively.

Description

technical field [0001] The invention belongs to the technical field of thermal power data management, and relates to a thermal power production data management method and system based on a data center. Background technique [0002] At present, thermal power plants are gradually moving towards digital power plants. Various digital instruments and equipment are replacing the original mechanical instruments and meters. A large amount of data generated by various sensor equipment, mobile terminals, data acquisition equipment, etc. are stored and analyzed. It is used to guide the production and operation of thermal power plants. [0003] However, most of the monitoring data and operating data collected in the field of electric power production in the prior art are normal data, and the relatively large value is a very small amount of abnormal data. Due to the low value density of data, the detection of abnormal data Not sensitive enough to warrant a timely repair. In addition, t...

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Problems solved by technology

[0003] However, most of the monitoring data and operating data collected in the field of electric power production in the prior art are normal data, and the relatively large value is a very small amount of abnormal data. Due to the low value density of data, the detection of abnormal data Not sensitive enough to ensure timely repairs

In addition, thermal power production data needs to be detected or monitored. There are many types of structured, semi-structured and unstructured data, which will inevitably lead to data quality problems, which will affect the analysis of auxiliary decision-making based on data-related applications. accuracy, and bring problems such as increased work costs

[0004] There is no unified management method in the existing technology, which leads to the unsmooth monitoring process, greatly affects the analysis and processing speed, and reduces work efficiency

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