Cabinet intelligent design method and device based on representation learning, equipment and medium

Abstract

The invention discloses a cabinet intelligent design method and device based on representation learning, equipment and a medium. The method comprises the steps: acquiring cabinet body information and cabinet body space environment information in historical data; constructing a feature project according to the cabinet body information and the cabinet body space environment information; constructing a coding learning model according to discrete features in the feature project; training the code learning model to obtain a spatial code of a historical cabinet object and a code prediction model; and inputting to-be-arranged space information and standard household plate information into the code prediction model to obtain a target design space code, solving similarity between the code and the spatial code of the historical cabinet object, and determining the cabinet object with the highest similarity as the cabinet object. According to the method, a rapid and reasonable cabinet design scheme meeting diversity is provided for the classification customization design process, the cabinet design efficiency is improved, and the method can be widely applied to the technical field of smart home.

Description

technical field [0001] The invention relates to the technical field of smart home, in particular to a cabinet intelligent design method, device, equipment and medium based on representation learning. Background technique [0002] With the continuous development of economy and society, furniture customization has become a major trend. Fast and intelligent home design mode is an important factor for home design software to adapt to the trend of personalized customization. In the whole home customization, cabinet design is undoubtedly the most complex and most important link with customization attributes. The main demand scenarios for cabinet customization are: in a home scene provided by the user, the designer needs to design a suitable cabinet for the user in a specific area. However, this purely manual design mode takes a long time, and it needs to rely on the designer's professional knowledge and familiarity with the existing cabinet product library. In addition, the spac...

AI Technical Summary

Problems solved by technology

However, this purely manual design mode takes a long time, and it needs to rely on the designer's professional knowledge and familiarity with the existing cabinet product library. In addition, the space environment (surroundings) and furniture placement in this specific area will also affect the design of the cabinet. The entire custom cabinet design has an impact, so the whole process has the characteristics of long design cycle and high design cost

[0003] Most of the existing cabinet intelligent design methods are still difficult to apply intelligent technology to a complete cabinet custom design process

First of all, these technologies lack the concept of cabinet categories (such as wardrobes, TV cabinets, sideboards, bookcases, etc.), some of the technologies treat all cabinets as a unified cabinet, and other intelligent methods only target specific cabinets (such as Wardrobe is a category); In addition, these technologies are mainly for the intelligent auxiliary design of design rules, production rules and other rules and restrictions in intelligent design.

[0004] Under the existing technology, the cabinet design work reduces some design errors and provides some help in the rationality of the design, but the whole process still requires designers to participate in the design of each space of the cabinet, and This happens to be the most time- and energy-consuming step of the whole job

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