Metadata-based holographic digital power grid data automatic storage system and method

Abstract

The invention provides a metadata-based holographic digital power grid data automatic storage system. The system includes: a data acquisition module is used for acquiring to-be-warehoused professionalremote sensing data of power transmission, power transformation and power distribution, and determining metadata corresponding to the remote sensing data and an original complete mark value of the metadata; a data initial inspection module which is used for judging the format of the remote sensing data and calculating and determining the integrity of the metadata; a data uploading module which isused for encrypting and uploading the data meeting requirements; and a data analyzing and importing module which is used for analyzing the metadata of the uploaded remote sensing data and automatically storing the remote sensing data and the metadata into a database according to metadata information. By the adoption of the system, intelligent automatic storage of remote sensing data and corresponding metadata of power transmission, power transformation and power distribution professions can be achieved, the defects that in the prior art, time and labor are wasted, the error rate is high and confidentiality is poor are overcome, meanwhile, the accuracy of data transmission and storage results is greatly improved, and reasonable utilization of the storage space of a database is facilitated.

Description

technical field [0001] The invention relates to the technical field of remote sensing data processing, in particular to a system and method for automatically storing holographic digital grid data based on metadata. Background technique [0002] The rapid development of the power industry has led to an increase in monitoring demand. 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 to automatically shoot and monitor. The man-machine automatically takes pictures and monitors the power lines and equipment in real time. It can be seen that in the current monitoring process of the power industry, a large amount of remote sensing data will be generated to be processed and transmitted. [0003] In the existing technology, the local remote sensing data is generally copied or transmitted to the database server through a mobile storage me...

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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