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Automatic furniture layout method and device based on house type matching

An automatic layout and furniture technology, applied in constraint-based CAD, other database retrieval, geometric CAD, etc., can solve problems such as cloud server stuck user experience, error solutions, etc., to solve more errors and reduce errors The effect of solving the situation and reducing the calculation load

Pending Publication Date: 2022-04-01
GUANGDONG SANWEIJIA INFORMATION TECH CO LTD
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Problems solved by technology

[0004] The purpose of the embodiments of this application is to provide a method and device for automatic furniture layout based on apartment type matching. By obtaining furniture layout data of similar apartment types, clustering and fine-tuning are performed, the calculation load is greatly reduced, and user experience is improved. Misinterpretation situation, thus solving the problem that the existing method is easy to cause the cloud server to be stuck and the user experience is poor and there are many misinterpretations

Method used

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  • Automatic furniture layout method and device based on house type matching
  • Automatic furniture layout method and device based on house type matching
  • Automatic furniture layout method and device based on house type matching

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Embodiment Construction

[0074] The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.

[0075] It should be noted that like numerals and letters denote similar items in the following figures, therefore, once an item is defined in one figure, it does not require further definition and explanation in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second" and the like are only used to distinguish descriptions, and cannot be understood as indicating or implying relative importance.

[0076] Please see figure 1 , figure 1 It is a flow chart of an automatic furniture layout method based on house type matching provided in the embodiment of this application. For a given empty apartment type, first search for similar apartment types from the database. Each apartment type in the database is generally bound to at least one set of designer user-...

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Abstract

The embodiment of the invention provides an automatic furniture layout method and device based on house type matching, and relates to the technical field of home design. The method comprises the following steps: receiving house type data of a single-room house type; based on the house type data, obtaining furniture layout data of similar house types from a house type scheme database; applying the furniture layout data to the single-room type; performing clustering combination on furniture models in the furniture layout data to determine the priority of each group of furniture; according to the priorities, the position of each set of furniture is finely adjusted through a greedy optimization method, similar house types are searched, clustering and fine adjustment are carried out, the calculation load is greatly reduced, the user experience is improved, the wrong solution situation is reduced through fine adjustment, and the user experience is improved. Therefore, the problems that according to an existing method, the cloud server is prone to being stuck, the user experience is poor, and the number of wrong solutions is large are solved.

Description

technical field [0001] The present application relates to the technical field of home design, in particular, to a method and device for automatic furniture layout based on apartment type matching. Background technique [0002] The current automatic layout or layout method is basically an automatic solution method based on "deep learning" as the core. The feature of this method is to directly read the picture, and then estimate the position of various furniture. Theoretically speaking, as the training set increases, the accuracy of automatic layout will be higher. [0003] However, deep learning is not suitable for deployment on computing terminals, and is generally deployed on cloud servers; at the same time, if deep learning uses CPU for reasoning and solving, the efficiency is low; if using GPU for reasoning and solving, the efficiency is high, but the calculation cost is also high. Higher, especially when the function has high concurrent requests, it usually needs to be ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F30/13G06F16/903G06F16/906G06F111/04
Inventor 邱辉平王士玮
Owner GUANGDONG SANWEIJIA INFORMATION TECH CO LTD
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