Sensing data intelligent recommendation system

Abstract

The invention discloses an intelligent recommendation system for perception data. The system comprises a positioning module, an import module, an input module, a design module and a display module, the positioning module is used for sensing the position of a user through the positioning module and acquiring climate data of the location of the user according to the position of the user, so that different decoration materials are selected during design; the import module is used for importing the house type image of the house through the import module, and also can be used for importing the orientation of the house through the import module; when the system is implemented, the house can be designed according to the position of the user, the local climate and the orientation of the house, and meanwhile, the user can carry out personalized change according to the budget of the user and the requirement for the house, so that the designed house effect picture better meets the requirements of the user.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a perception data intelligent recommendation system. Background Art

[0002] When people are renovating their houses, because it involves different aspects, the owners do not have enough time and energy to participate in the decoration throughout the whole process, and they do not have enough professional knowledge reserves to cope with the decoration. And it is precisely because of the above reasons that the decoration effect is not good and people are deceived in the decoration.

[0003] Based on the above reasons, this application proposes a perception data intelligent recommendation system. Summary of the invention

[0004] To this end, the present application provides a perception data intelligent recommendation system to solve the problems of unsatisfactory decoration effects and decoration fraud that may occur due to lack of relevant knowledge during the decoration process in the prior art.

[0005] In order to achieve the above objectives, this application provides the following technical solutions:

[0006] A perception data intelligent recommendation system, comprising a positioning module, an import module, an input module, a design module and a display module;

[0007] The positioning module, through which the system senses the user's location, and acquires the climate data of the user's location according to the user's location, so as to select different decoration materials during design;

[0008] The import module is used to import the floor plan of the house, and the orientation of the house can also be imported through the import module;

[0009] The input module is used by the user to input into the system according to his / her budget, specific requirements for house design and other parameters;

[0010] The design module, when the floor plan of the house is imported, can design the house and select the materials for house decoration according to the parameters input by the input module, and after the design is completed, the design module can output the house rendering;

[0011] The display module displays the house rendering output by the design module.

[0012] Preferably, the input module is preset with the following guiding steps:

[0013] Step 1: split the rooms of the house according to the imported house floor plan, so that each room becomes a separate decoration unit;

[0014] Step 2: Enter the renovation budget. In this step, multiple price guide ranges are generated according to the size of the house. The user can select a price range or enter the renovation budget or choose to skip this step.

[0015] Step 3: Enter the hard decoration requirements for the decoration unit, including specific requirements for the kitchen, bathroom, living room and bedroom, or choose to skip this step;

[0016] Step 4. Enter the specific requirements for soft furnishings, including furniture requirements, electrical requirements and other requirements for the decoration unit, or choose to skip this step.

[0017] Preferably, the step 2 includes an ordinary decoration price range, a medium decoration price range, a high-end decoration price range and a luxury decoration price range.

[0018] Preferably, the design module is provided with the following steps:

[0019] In the first step, the design module designs the house according to the user's decoration budget, the area of ​​the decoration unit, and other requirements of the decoration unit;

[0020] The second step is to select the hard decoration specifications and soft decoration specifications for house decoration, and design the house according to the selection results. The hard decoration specifications include construction steps, construction materials, construction period, and construction budget, and the soft decoration specifications include the brand, price, and model of home appliances and furniture;

[0021] The third step is to synchronously output the hard decoration specifications, soft decoration specifications and house renderings to the display module.

[0022] Preferably, the perception data intelligent recommendation system also includes an editing module, and the construction steps and construction period of house decoration can be edited through the editing module and saved in the system. When designing a house, the design module can select the construction steps and construction period according to different construction materials and the size of the house area.

[0023] Preferably, the perception data intelligent recommendation system also includes a connection module, which is connected to the Internet. After obtaining the construction budget and soft decoration budget, the connection module can select construction materials and soft decoration household appliances and furniture according to the corresponding price range, and mark the actual prices of the selected construction materials and household appliances and furniture.

[0024] Preferably, when the display module displays the decoration effect, the display module has two modes:

[0025] First, the display mode, the display module displays the design of the house. When you click and drag the rendering of the house, the view in the house can be moved to display different decoration units;

[0026] Secondly, in detail mode, when the display module displays a decoration unit, when the user clicks on the wall or soft furnishing details of the decoration unit, the construction steps, construction materials, construction period, construction budget or the brand, price and model of home appliances and furniture can be displayed at the clicked position.

[0027] Preferably, the perception data intelligent recommendation system also includes an output module. After the user determines the decoration design, the output module can output soft decoration specifications, hard decoration specifications, and house renderings for the user to use for decoration.

[0028] Compared with the prior art, this application has at least the following beneficial effects:

[0029] 1. When this system is implemented, the house can be designed according to the user's location, local climate and the orientation of the house. At the same time, the user can also make personalized changes based on his or her own budget and room requirements, so that the designed house renderings can better meet the needs of the user.

[0030] 2. When this system is implemented, it can also design the house according to the customer's budget, avoiding excessive expenses or being cheated due to insufficient time and knowledge reserves of the user. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more intuitively illustrate the prior art and the present application, exemplary drawings are given below. It should be understood that the specific shapes and structures shown in the drawings should not generally be regarded as limiting conditions for implementing the present application; for example, those skilled in the art are capable of easily making conventional adjustments or further optimizations to the addition / reduction / attribution division, specific shapes, positional relationships, connection methods, dimensional ratios, etc. of certain units (components) based on the technical concepts and exemplary drawings disclosed in the present application.

[0032] Figure 1 A module diagram of a perception data intelligent recommendation system provided in Example 1 of the present application. DETAILED DESCRIPTION

[0033] The present application is further described below in detail through specific embodiments in conjunction with the accompanying drawings.

[0034] A perception data intelligent recommendation system, comprising a positioning module, an import module, an input module, a design module and a display module;

[0035] The positioning module, through which the system senses the user's location, and according to the user's location, obtains the climate data of the user's location, so as to select different decoration materials during design (for example, the materials used for decoration in the south and the north will be different). The positioning module can locate the user's location, and according to the positioning information, recommend the products and decoration styles and designs needed by the user for decoration, so as to enhance the user's experience;

[0036] The import module can import the house plan through the import module, and can also import the house orientation through the import module. At the same time, the positioning module can also locate and obtain the community and building information of the user's location. In this way, when the user cannot import the house plan, the house plan can be captured online according to the positioning information and the community and building information;

[0037] The input module allows users to input their own budget, specific requirements for house design and other parameters into the system through the input module. Through the use of the input module, users can input their own design requirements and budget requirements so that the system can design the user's house more accurately;

[0038] The design module, when the floor plan of the house is imported, can design the house and select the materials for house decoration according to the parameters input by the input module, and after the design is completed, the design module can output the house rendering;

[0039] The display module displays the house rendering output by the design module.

[0040] When this system is implemented, the house can be designed according to the user's location, local climate and the orientation of the house. At the same time, the user can also make personalized changes based on his or her own budget and room requirements, so that the designed house renderings can better meet the user's needs.

[0041] At the same time, when this system is implemented, it can also design the house according to the customer's budget, avoiding excessive expenses or being cheated due to insufficient time and knowledge reserves of the user.

[0042] The input module has the following pre-set guidance steps:

[0043] Step 1: split the rooms of the house according to the imported house floor plan, so that each room becomes a separate decoration unit, so that users can design different rooms in a personalized way and design the kitchen, bathroom, bedroom and living room separately;

[0044] Step 2: Enter the renovation budget. In this step, multiple price guide ranges are generated according to the size of the house. The user can select the price range or enter the renovation budget or choose to skip this step. When the user does not have a specific budget and wants to see renderings of different price ranges, different guide ranges can help the user view different renderings.

[0045] Step 3: Enter the hard decoration requirements for the decoration unit, including specific requirements for the kitchen, bathroom, living room and bedroom, or choose to skip this step;

[0046] Step 4. Enter the specific requirements for soft furnishings, including furniture requirements, electrical requirements and other requirements for the decoration unit, or choose to skip this step.

[0047] The step 2 includes ordinary decoration price range, medium decoration price range, high-end decoration price range and luxury decoration price range. For example, the ordinary decoration price range is 600-900 / square meter, the medium decoration price range is 900-1500 / square meter, the high-end decoration price range is 1500-2500 / square meter, and the luxury decoration price range is above 2500 / square meter.

[0048] The design module is provided with the following steps:

[0049] In the first step, the design module designs the house according to the user's decoration budget, the area of ​​the decoration unit, and other requirements of the decoration unit;

[0050] The second step is to select the hard decoration specifications and soft decoration specifications for house decoration, and design the house according to the selection results. The hard decoration specifications include construction steps, construction materials, construction period, and construction budget, and the soft decoration specifications include the brand, price, and model of home appliances and furniture;

[0051] The third step is to synchronously output the hard decoration specifications, soft decoration specifications and house renderings to the display module.

[0052] The perception data intelligent recommendation system also includes an editing module. The construction steps and construction period of house decoration can be edited through the editing module and saved in the system. When designing a house, the design module can select the construction steps and construction period according to the different construction materials and the size of the house.

[0053] As for the construction steps, it is a relatively deterministic step. The staff in the background of the system can standardize the construction steps of the decoration according to different decoration styles, and then import and save the standardized construction steps in the system. After confirming the user's decoration style, the corresponding decoration steps will be matched. Regardless of whether the user chooses to do the decoration by himself or asks an engineering team to do the decoration, the standardized construction operations can better meet the user's decoration needs.

[0054] The perception data intelligent recommendation system also includes a connection module, which is connected to the Internet. After obtaining the construction budget and soft decoration budget, the connection module can select construction materials and soft decoration appliances and furniture according to the corresponding price range, and mark the actual prices of the selected construction materials and appliances and furniture.

[0055] The connection module can be connected to various e-commerce platforms. By comparing prices and making choices, the materials needed to purchase each hard and soft furnishing can be determined. This can not only meet the user's budget needs, but also help customers find more cost-effective products.

[0056] When the display module displays the decoration effect, the display module has two modes:

[0057] First, the display mode, the display module displays the design of the house. When clicking and dragging the rendering of the house, the viewing angle inside the house can be moved to display different decoration units, so that users can view the decoration effect;

[0058] Secondly, in detail mode, when the display module displays a decoration unit, when the user clicks on the wall or soft furnishing details of the decoration unit, the construction steps, construction materials, construction period and construction budget or the brand, price and model of home appliances and furniture can be displayed at the clicked position, so that the user can understand the construction steps and prices at different locations to meet the different needs of users.

[0059] The perception data intelligent recommendation system also includes an output module. After the user determines the decoration design, the output module can output soft decoration specifications, hard decoration specifications, and house renderings for the user to use for decoration. Of course, the output module can also be connected to a printer to print the renderings and construction steps, which is convenient for users to view.

[0060] The technical features of the above embodiments may be arbitrarily combined (as long as there is no contradiction in the combination of these technical features). To make the description concise, not all possible combinations of the technical features in the above embodiments are described; these embodiments that are not explicitly written should also be considered to be within the scope of this specification.

Claims

1. A perception data intelligent recommendation system, characterized in that: It includes positioning module, import module, input module, design module and display module; The positioning module, through which the system senses the user's location, and acquires the climate data of the user's location according to the user's location, so as to select different decoration materials during design; The import module is used to import the floor plan of the house, and the orientation of the house can also be imported through the import module; The input module is used by the user to input into the system according to his / her budget, specific requirements for house design and other parameters; The design module, when the floor plan of the house is imported, can design the house and select the materials for house decoration according to the parameters input by the input module, and after the design is completed, the design module can output the house rendering; The display module displays the house rendering output by the design module.

2. The perception data intelligent recommendation system according to claim 1, characterized in that: The input module has the following pre-set guidance steps: Step 1: split the rooms of the house according to the imported house floor plan, so that each room becomes a separate decoration unit; Step 2: Enter the renovation budget. In this step, multiple price guide ranges are generated according to the size of the house. The user can select a price range or enter the renovation budget or choose to skip this step. Step 3: Enter the hard decoration requirements for the decoration unit, including specific requirements for the kitchen, bathroom, living room and bedroom, or choose to skip this step; Step 4. Enter the specific requirements for soft furnishings, including furniture requirements, electrical requirements and other requirements for the decoration unit, or choose to skip this step.

3. The perception data intelligent recommendation system according to claim 2, characterized in that: The step 2 includes ordinary decoration price range, medium decoration price range, high-end decoration price range and luxury decoration price range.

4. The perception data intelligent recommendation system according to claim 2, characterized in that: The design module is provided with the following steps: In the first step, the design module designs the house according to the user's decoration budget, the area of ​​the decoration unit, and other requirements of the decoration unit; The second step is to select the hard decoration specifications and soft decoration specifications for house decoration, and design the house according to the selection results. The hard decoration specifications include construction steps, construction materials, construction period, and construction budget, and the soft decoration specifications include the brand, price, and model of home appliances and furniture; The third step is to synchronously output the hard decoration specifications, soft decoration specifications and house renderings to the display module.

5. The perception data intelligent recommendation system according to claim 4, characterized in that: The perception data intelligent recommendation system also includes an editing module. The construction steps and construction period of house decoration can be edited through the editing module and saved in the system. When designing a house, the design module can select the construction steps and construction period according to different construction materials and the size of the house area.

6. The perception data intelligent recommendation system according to claim 5, characterized in that: The perception data intelligent recommendation system also includes a connection module, which is connected to the Internet. After obtaining the construction budget and soft decoration budget, the connection module can select construction materials and soft decoration household appliances and furniture according to the corresponding price range, and mark the actual prices of the selected construction materials and household appliances and furniture.

7. The perception data intelligent recommendation system according to claim 6, characterized in that: When the display module displays the decoration effect, the display module has two modes: First, the display mode, the display module displays the design of the house. When you click and drag the rendering of the house, the view in the house can be moved to display different decoration units; Secondly, in detail mode, when the display module displays a decoration unit, when the user clicks on the wall or soft furnishing details of the decoration unit, the construction steps, construction materials, construction period, construction budget or the brand, price and model of home appliances and furniture can be displayed at the clicked position.

8. The perception data intelligent recommendation system according to claim 6, characterized in that: The perception data intelligent recommendation system also includes an output module. After the user determines the decoration design, the output module can output soft decoration specifications, hard decoration specifications, and house renderings for the user to use for decoration.

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