Original scientific paper
https://doi.org/10.1080/00051144.2021.2008620
An automated system for electrical power symbol placement in electrical plan drawing
Bayram Akgul
; Department of Computer Technologies, Bartin University, Bartin, Turkey
Hakan Kutucu
; Department of Computer Engineering, Karabuk University, Karabuk, Turkey
Abstract
An electrical plan drawing–sometimes called a wiring diagram or electrical drawing–consists of lines and symbols. Electrical plan drawings are prepared on 2D architectural floor plans using Computer-Aided Design and/or Drafting (CAD) programs. The placement/drawing of electrical power symbols–such as sockets, lights, and switches–is the first step of an electrical plan drawing. For this purpose, a smart system has been developed in this study to automatically draw/place electrical power symbols in appropriate locations. The system is based on the detection and classification/recognition of furnishing (decorative) symbols in the floor plans. We have created a furnishing symbol dataset drawing on dozens of architectural plan drawings that contain symbols of the most commonly used tools in floor plans, such as furniture, appliances, plumbing, doors, and windows. We used a Deep Convolutional Neural Network (D-CNN) with transfer learning–Inception-v3 model– to classify furnishing symbols. We tested the model on 20 real floor plans and achieved a very satisfactory accuracy of 97.05% in furnishing symbol classification. The symbol drawing step, which is the first step of drawing the electrical plan, was automated using the work developed, thus achieving the aim of saving time and labour. Experimental studies show the effectiveness of the proposed automated system.
Keywords
Computer-aided design; electrical plan drawing; deep learning; transfer learning; automated design
Hrčak ID:
286667
URI
Publication date:
26.12.2021.
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