Primary wiring diagram primitive recognition method based on convolutional neural network

Abstract

The invention provides a primary wiring diagram primitive recognition method based on a convolutional neural network, and the method comprises the following steps: (1) intercepting a primitive diagramfile from a primary wiring diagram training set picture, and constructing a primitive training set after processing; (2) training the primitive training set through a convolutional neural network togenerate a primitive recognition model; and (3) performing primitive identification on the input primary wiring diagram through the primitive identification model. The neural network technology and the image recognition technology are applied to the distribution network and the plant station primary wiring diagram, the primary wiring diagram primitive recognition method based on the convolutionalneural network is provided, automatic learning and recognition of the plant station wiring diagram are achieved, the system construction efficiency is improved, manual work is reduced, and a basis isprovided for follow-up intelligent processing of a topological model and ensuring the consistency of information interaction.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a convolutional neural network-based recognition method for primitives of a wiring diagram. Background technique [0002] With the development of the power system, the topology of the distribution network becomes more and more complex, and the frequency of changes and updates becomes faster and faster. In the past, the primary wiring diagrams of distribution networks and plants and stations were mostly drawn manually, and the drawing personnel drew the wiring diagrams with the aid of tools such as AUTOCAD and SCADA graphic editing systems based on the basic file data and topology. With the development of the power grid, the update frequency of power system software and equipment is getting faster and faster. Simply relying on maintenance personnel to draw and maintain the system will not be able to keep up with the rhythm of system updates. Contents of the invention ...

AI Technical Summary

Problems solved by technology

With the development of the power grid, the update frequency of power system software and equipment is getting faster and faster. Simply relying on maintenance personnel to maintain the system will not keep up with the rhythm of system updates.

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