Electric power engineering drawing data automatic management method based on big data

Abstract

The invention provides an electric power engineering drawing data automatic management method based on big data. The method comprises the steps of 1, data entry; step 2, automatic classification; step 3, associating the two-dimensional codes; step 4, borrowing management; and 5, advanced retrieval support. According to the invention, a traditional electric power engineering drawing data management mode is changed, automatic management is realized, the investment of manpower and material resources is reduced, and the working efficiency is greatly improved.

Description

technical field [0001] This application relates to the technical field of power grid communication, in particular to an automatic management method for electric power engineering drawing data based on big data. Background technique [0002] The statements in this section merely provide background technical information relevant to this application and do not necessarily constitute prior art. [0003] In 2021, the power grid construction work will enter a new stage of development. The scale of the power grid is increasing year by year. The number of power grid infrastructure projects continues to increase. The power engineering drawings show explosive growth. Traditional power engineering drawings are made manually, and most of the content involved is displayed in On paper, there are many volumes, a large amount of data, and complicated classification, so the standardized management of electric engineering drawings is particularly important. [0004] At present, the existing ...

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Problems solved by technology

[0006] 1. The current management technology saves paper volume drawings, and there are a large number of drawings. It is necessary to manually search for the location according to alphabetical order for storage, delivery, and borrowing. The technology is relatively backward, and automatic retrieval cannot be realized, which is time-consuming and labor-intensive.

[0007] 2. The number of electric engineering drawings is limited. Generally, multiple departments or specialties share a reference room. When you need to consult drawings and materials, you need to borrow and register, but the borrowing process is simple registration. Tracking the trajectory of drawings in real time may easily cause the loss of drawings, and the number of drawings is limited, and it is impossible to make up for them after they are lost

[0008] 3. Due to the large size of electric engineering drawings, ordinary scanners cannot scan them. Currently, the paper drawings are still preserved, and there is a lack of electronic archives. After the paper drawings are lost, they cannot be supplemented, but the electronic drawings can be easily saved and circulated. It can make up for the shortcomings of paper drawings that are easy to lose

[0009] 4. The cost of manual management is high, and it is necessary to set up special personnel for management. With the continuous expansion of the grid scale, the number of power engineering drawings continues to increase, the management workload continues to increase, and the efficiency is low. The current management mode and management technology cannot meet the rapidly growing grid scale and power. Number of engineering drawings

[0010] 5. Lack of an automatic management system dedicated to the management of electric engineering drawings, which is not fully conducive to big data management technology to automate and intelligently manage drawings and materials

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