Data characterization method for emergency repair site in monitoring area

Abstract

The invention belongs to the field of power grid field monitoring, and particularly relates to a data characterization method for an emergency repair site in a monitoring area. Comprising the following steps: monitoring data acquisition; dividing the data into two types, namely structured data represented by attribute data and unstructured data represented by image data; for two different types of monitoring data, representing the data by adopting different data representation strategies, standardizing the represented coarse data, and then carrying out reprocessing, modeling and storage on the data by utilizing an object-oriented meta-model. According to the characterization method, data distortion is effectively avoided, the data processing time consumption is shorter, different data analyses can be conveniently carried out on the stored data by using a cloud-edge collaboration-based big data analysis model, and conclusions such as an early warning result and an emergency repair decision are obtained.

Description

technical field [0001] The invention belongs to the field of on-site monitoring of power grids, and specifically discloses a data representation method for emergency repair sites in a monitoring area. Background technique [0002] Disaster on-site monitoring data based on mobile internet, including power grid and equipment operation data obtained by fixed-point monitoring, individual operation tools, intelligent positioning and other technical means, as an important disaster prediction parameter, is important data for disaster early warning and emergency repair efficiency one of the sources. Correlative analysis and in-depth mining of such data to improve its real-time monitoring capabilities of the power grid is a key supporting technology to ensure the safe and stable operation of the power grid, and is of great significance to improve the overall disaster handling efficiency and management and control capabilities of the power grid. [0003] At present, in the power grid...

AI Technical Summary

Problems solved by technology

[0003] At present, in the power grid monitoring system, there are many monitoring devices distributed in different locations, systems and applications. The sources of monitoring data are different, the formats are diverse, the storage mechanism is not uniform, the correlation method is not clear, and there is no effective sharing mechanism. Low data utilization rate, resulting in the formation of information islands

Traditional on-site monitoring data collection technology requires a lot of manual data sorting, manual extraction of valid data, and integration and aggregation for further utilization and mining analysis. Even intelligent technology has low data representation efficiency and inaccurate feature extraction. , data redundancy and other issues, and did not really realize the unified representation of multi-source data

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