A system and method for automatic storage of holographic digital power grid data based on metadata

Abstract

The invention provides a metadata-based holographic digital power grid data automatic storage system. The system includes: acquiring the professional remote sensing data of power transmission, transformation and distribution to be stored, determining the metadata corresponding to the remote sensing data, and The data acquisition module of the original complete tag value of the metadata is used to judge the format of the remote sensing data and calculate the data initial check module to determine the integrity of the metadata. After uploading the metadata of the remote sensing data, and according to the metadata information, the remote sensing data and metadata are automatically stored in the data analysis and imported into the module. The above system can realize the intelligent automatic storage of remote sensing data and corresponding metadata of power transmission, substation and distribution, overcome the shortcomings of time-consuming, laborious, high error rate and poor confidentiality in the existing storage technology, and at the same time greatly The accuracy of data transmission and storage results is improved, and the rational utilization of database storage space is facilitated.

Description

technical field [0001] The invention relates to the technical field of remote sensing data processing, in particular to a metadata-based holographic digital power grid data automatic storage system and method. Background technique [0002] The rapid development of the power industry has led to an increase in monitoring needs. In order to meet the monitoring needs of the power industry and ensure the safe operation of the power system, it is one of the efficient and reasonable solutions to introduce intelligent equipment for automatic shooting and monitoring. The human-machine can automatically photograph and monitor the power lines and equipment in real time. It can be seen that in the current monitoring process of the power industry, there will be a large amount of remote sensing data that needs to be processed and transmitted. [0003] In the prior art, generally, the local remote sensing data is copied or transmitted to a database server through a mobile storage medium o...

AI Technical Summary

Problems solved by technology

[0003] In the existing technology, the local remote sensing data is generally copied or transmitted to the database server through a mobile storage medium or network, and then the data is manually imported into the database on the data server, and metadata is added one by one, and finally the validity of the data is checked manually. However, in the process of data transmission and storage, various tasks need to be manually operated, and images need to be sorted and classified manually. The degree of automation and intelligence is low, the workload is huge, time-consuming and labor-intensive, and due to the massive characteristics of remote sensing data obtained by monitoring , resulting in a high error rate. At the same time, due to the complexity of the personnel involved, the confidentiality and security of the data cannot be well guaranteed; and due to the unique diversity of formats and large data capacity per unit of remote sensing data, especially the laser point Cloud data, high sampling density, dense point cloud distribution, unclassified and unorganized point cloud data is not conducive to the three-dimensional application of point cloud data, the traditional data storage method must use manual processing to realize data review and data classification operations in advance, and consumes Time-consuming and labor-intensive, and the problem of data omission is prone to occur during the data storage process, and it is impossible to achieve efficient and reliable automatic storage operations for remote sensing data

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