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Construction steel bar intelligent recognition metering method and system

A technology for building steel bars and intelligent recognition, applied in neural learning methods, character and pattern recognition, computing, etc., can solve the problems of high cost, high work intensity, low work efficiency, etc., and achieve the effect of accurate recognition and improved measurement efficiency.

Pending Publication Date: 2020-02-11
深圳中物智建科技有限公司
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  • Summary
  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

[0003] Steel has been widely used in many aspects of real life and is closely related to people's lives; steel bars are widely used in many industries, especially in the construction industry. In practical applications, it is often not the total weight of steel bars that needs to be mastered, but the number of steel bars At present, the manual counting method is generally used in construction sites. This method is simple, but the work intensity is high, and at the same time the work efficiency is low and the cost is high. Improve efficiency, improve counting accuracy, and greatly reduce enterprise costs

Method used

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  • Construction steel bar intelligent recognition metering method and system

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Embodiment 1

[0022] An embodiment of the present invention provides a method for intelligent identification and measurement of building steel bars, comprising the following steps:

[0023] Collecting pictures of the end faces of building steel bars, and forming an original picture data set, performing at least one process of rotation, translation, and grayscale transformation on each picture in the original picture data set, and adding the processed pictures to the original picture data set, The final image data set is formed;

[0024] Obtain a training sample data set according to the final picture data set, set up a convolutional neural network model, use the training sample data set to train the convolutional neural network model, and obtain a trained convolutional neural network model;

[0025] The picture to be recognized is identified by using the trained convolutional neural network model, and the number of building steel bars in the picture to be identified is obtained.

[0026] D...

Embodiment 2

[0034] An embodiment of the present invention provides an intelligent identification and measurement system for building steel bars, including a picture data set forming module, a convolutional neural model building module, and a building steel bar quantity identification module;

[0035] The picture data set forming module is used to collect pictures of the end faces of building steel bars, and form an original picture data set, and perform at least one of rotation, translation, and grayscale transformation on each picture in the original picture data set, and process The final picture is added to the original picture data set to form the final picture data set;

[0036] The convolutional neural model building module is used to obtain a training sample data set according to the final picture data set, establish a convolutional neural network model, use the training sample data set to train the convolutional neural network model, and obtain The trained convolutional neural netwo...

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Abstract

The invention discloses an intelligent recognition and metering method and system for construction steel bars, belongs to the technical field of construction steel bar metering, and solves the problems of relatively low construction steel bar metering accuracy and relatively low efficiency. An intelligent recognition and metering method for construction steel bars comprises the following steps that end face pictures of the construction steel bars are collected, an original picture data set is formed, at least one of rotation, translation and gray scale transformation is carried out on all thepictures in the original picture data set, and a final picture data set is formed; obtaining a training sample data set according to the final picture data set, establishing a convolutional neural network model, and training the convolutional neural network model by using the training sample data set to obtain a trained convolutional neural network model; and identifying a to-be-identified pictureby using the trained convolutional neural network model to obtain the number of the construction steel bars in the to-be-identified picture. Accurate recognition quantity of the construction steel bars is achieved, and metering efficiency of the construction steel bars is improved.

Description

technical field [0001] The invention relates to the technical field of measurement of building steel bars, in particular to a method and system for intelligent identification and measurement of building steel bars. Background technique [0002] In actual production, irregular round objects are ubiquitous, such as tubular workpieces, steel bars, bars, etc. An important content to deal with, the bar counting problem in steel production is one of the important application examples; [0003] Steel has been widely used in many aspects of real life and is closely related to people's lives; steel bars are widely used in many industries, especially in the construction industry. In practical applications, it is often not the total weight of steel bars that needs to be mastered, but the number of steel bars At present, the manual counting method is generally used in construction sites. This method is simple, but the work intensity is high, and at the same time the work efficiency is ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V20/20G06N3/045
Inventor 石波张柏松周豪刘闵华
Owner 深圳中物智建科技有限公司
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