Building quality prediction method and device based on deep learning, and storage medium

A deep learning and quality prediction technology, applied in the field of construction quality, can solve problems such as unqualified and inability to quantify project quality, and achieve the effect of strong applicability

Active Publication Date: 2021-11-02
南京中建八局智慧科技有限公司
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the existing inspection process, most of the output is an absolute value of qualified and unqualified, which will cause many developers and builders to construct according to the minimum standard
It is impossible for the developer and the purchaser to have a quantitative concept of the quality of the qualified building project

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Building quality prediction method and device based on deep learning, and storage medium
  • Building quality prediction method and device based on deep learning, and storage medium
  • Building quality prediction method and device based on deep learning, and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is only some embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0058] The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the present invention and the above drawings are used to distinguish similar objects and not necessarily Describe a specific order or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a building quality prediction method and device based on deep learning and a storage medium, and the method comprises the steps: obtaining the quality data of multiple dimensions, wherein the quality data of each dimension comprise a corresponding quality evaluation score, dimension information and building type information; determining dimension weight values of different dimension information based on the building type information, wherein the quality data of multiple dimensions of the same building have the same building type information; screening variable values in the first deep learning model according to the information of the multiple dimensions to obtain a second deep learning model, wherein variables in the second deep learning model correspond to the quality data of the multiple dimensions; adjusting variable weights of variable values in the second deep learning model based on the quality data of the multiple dimensions to obtain a third deep learning model; and inputting the plurality of quality evaluation scores and the dimension weight values into a third deep learning model to obtain a building quality prediction result, an accuracy prediction result and a comprehensive result.

Description

technical field [0001] The present invention relates to the technical field of building quality, in particular to a deep learning-based building quality prediction method, device and storage medium. Background technique [0002] Construction project quality inspection refers to the activities of testing the materials, components, equipment, and project entity quality and use functions of construction projects to determine their quality characteristics in accordance with relevant national laws, regulations, mandatory standards for project construction and design documents. . [0003] In the process of building quality inspection, inspections of various dimensions and levels are included. For example, foundation engineering inspection, main structure engineering on-site inspection and building curtain wall engineering inspection, etc. Among them, foundation engineering testing includes foundation and composite foundation bearing capacity static load testing, pile bearing cap...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/08G06Q10/06G06Q50/08
CPCG06N3/08G06Q10/06393G06Q50/08
Inventor 梅江涛徐旭全有维蒋鹏沈兴东严宝峰叶嵩李林刘阳
Owner 南京中建八局智慧科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products