Indoor design method and system based on image processing technology

Abstract

The invention provides an interior design method and system based on an image processing technology, and relates to the technical field of interior design. According to the invention, a highly customized design scheme is realized by deeply fusing personalized demands and body conditions of the elderly, and by deeply analyzing the body conditions and behavioral habits of the elderly and combining historical monitoring data, not only is the safety of indoor space significantly improved, but also the service life of the elderly is prolonged. According to the invention, potential safety hazards caused by household appliances and the environment are effectively prevented and reduced, a secure living environment is created for the elderly, meanwhile, based on double attention of safety and comfort, the furniture layout of each area of the indoor space is optimized, and a higher-quality, safer and more comfortable living environment is provided for the elderly.

Description

Technical Field

[0001] The present invention relates to the technical field of interior design, and in particular to an interior design method and system based on image processing technology. Background Art

[0002] As the aging process of society accelerates, the living environment problems of the elderly group are becoming increasingly prominent. Traditional interior design methods often ignore the special needs and physical conditions of the elderly, causing many elderly people to face many inconveniences and safety hazards at home. Specifically, in daily life, the elderly may find it difficult to adapt to conventional furniture layouts and home environments due to physical conditions such as decreased vision, mobility difficulties, and hearing loss. At the same time, with the popularization and complexity of home appliances, the elderly also face problems such as inconvenient operation and increased safety hazards during use.

[0003] First, the routes and ranges of activities of the elderly at home are unique, and traditional designs often fail to fully consider their daily behavior habits, resulting in unreasonable furniture layouts and increasing the risk of accidents such as falls and collisions. For example, design defects such as narrow passages between furniture and no handrails at corners may become obstacles to the elderly's movements.

[0004] Secondly, when using home appliances, the elderly often make mistakes or forget to turn off the power due to poor eyesight and memory loss, which not only affects the service life of the home appliances, but also may cause safety hazards such as fire and electric shock. In addition, the unreasonable layout of some home appliances, such as sockets that are too high or too low, switches that are not easy to operate, etc., also bring many inconveniences to the elderly.

[0005] Therefore, it is necessary to provide an interior design method and system based on image processing technology to solve the above technical problems. Summary of the invention

[0006] In order to solve the above technical problems, the present invention provides an interior design method and system based on image processing technology for solving the problems of unreasonable furniture layout and safety hazards in home spaces.

[0007] The present invention provides an interior design method and system based on image processing technology, wherein the design method comprises the following steps:

[0008] Collecting layout images and three-dimensional space data of the indoor space, and preprocessing the layout images to obtain preprocessed layout images;

[0009] Identify the activity routes and ranges of the elderly based on monitoring data and divide them into multiple activity areas, and identify the specific equipment and environment in the activity areas;

[0010] Identify the safety hazards of household appliances and environment in each activity area, and assign comprehensive hazard weights to each activity area;

[0011] Dynamically adjust the weight of furniture layout based on the physical conditions and behavioral habits of the elderly;

[0012] The hidden danger weights and furniture layout weights of each activity area are combined to generate corresponding layout suggestions;

[0013] Taking the layout proposal as input, a 3D model of the interior space is generated through 3D modeling technology.

[0014] Preferably, the specific steps of collecting the layout image and three-dimensional space data of the indoor space and preprocessing the layout image to obtain the preprocessed layout image are:

[0015] The indoor space is photographed from all angles by using a camera device to acquire layout images, and the indoor space is scanned by a scanning device to acquire three-dimensional point cloud data;

[0016] Preprocessing the collected layout images, including denoising, contrast enhancement and color correction;

[0017] The preprocessed layout images are size-standardized and stored.

[0018] Preferably, the specific steps of identifying the activity routes and ranges of the elderly according to the monitoring data, dividing into multiple activity areas, and identifying the specific equipment and environment in the activity areas are:

[0019] Collect daily activity data of the elderly, and use data analysis tools to collect statistics on the collected activity data to obtain statistical results, where the daily activity data specifically includes walking tracks and stay time;

[0020] According to the statistical results, the indoor space is divided into different activity areas;

[0021] In each activity area, specific equipment and environmental information is identified, including furniture layout data, safety facility data, lighting data, and ground data.

[0022] Preferably, the specific steps of identifying the potential safety hazards of household appliances and the environment in each activity area and assigning a comprehensive potential safety hazard weight to each activity area are:

[0023] Collect specific equipment and environmental information identified in each activity area, and judge the safety hazard level of each activity area through the preset safety parameter threshold section, specifically including judging the equipment safety hazard level and environmental information of each activity area respectively;

[0024] Based on the results of the judgment on the safety hazard level of each activity area, a comprehensive hazard weight is calculated for each activity area in a multiplication manner.

[0025] Preferably, the specific steps of dynamically adjusting the furniture layout weight based on the physical condition and behavioral habits of the elderly are:

[0026] Obtaining the physical condition data and behavioral habit data of the elderly, wherein the physical condition data specifically includes mobility and vision status, and the behavioral habit data specifically includes waking time and dining habits;

[0027] Based on the physical condition and behavioral habit data of the elderly, the weights of furniture layout in different scenes of each activity area are set;

[0028] Monitor and identify changes in the physical conditions and behavioral habits of the elderly, and regularly evaluate and adjust the weight of furniture layout.

[0029] Preferably, the specific steps of synthesizing the hidden danger weights and furniture layout weights of each activity area to generate a corresponding layout suggestion plan are:

[0030] The hidden danger weights and furniture layout weights of each activity area are standardized to obtain integrated weight data;

[0031] The integrated weight data is input into a preset genetic algorithm to output multiple candidate layout solutions;

[0032] Evaluation criteria are set to evaluate and screen multiple candidate layout solutions to obtain screened layout recommendation solutions.

[0033] Preferably, the specific steps of generating a three-dimensional model of the indoor space by three-dimensional modeling technology using the layout suggestion scheme as input are:

[0034] Taking the layout proposal as input, a 3D model of the interior space is constructed using 3D modeling software;

[0035] Preview the effect of the 3D model and verify the 3D model to obtain the final 3D model after verification.

[0036] An interior design system based on image processing technology, the design system comprising:

[0037] The acquisition and processing module is used to acquire the layout image and three-dimensional space data of the indoor space, and pre-process the layout image to obtain the pre-processed layout image;

[0038] An identification module is used to identify the activity routes and ranges of the elderly according to the monitoring data, divide them into multiple activity areas, and identify the specific equipment and environment in the activity areas;

[0039] A weight allocation module is used to identify the safety hazards of household appliances and the environment in each activity area, and assign a comprehensive hazard weight to each activity area;

[0040] Dynamic adjustment module, used to dynamically adjust the furniture layout weight based on the physical conditions and behavioral habits of the elderly;

[0041] The suggestion generation module is used to integrate the hidden danger weights and furniture layout weights of each activity area to generate corresponding layout suggestion plans;

[0042] The 3D modeling module is used to generate a 3D model of the indoor space through 3D modeling technology using the layout suggestion plan as input.

[0043] Compared with the related art, the interior design method and system based on image processing technology provided by the present invention have the following beneficial effects:

[0044] The present invention realizes a highly customized design scheme by deeply integrating the personalized needs and physical conditions of the elderly. By deeply analyzing the physical conditions and behavioral habits of the elderly and combining historical monitoring data, it not only significantly improves the safety of the indoor space, but also effectively prevents and reduces potential safety hazards brought by home appliances and environment, creating a safe living environment for the elderly. At the same time, based on the dual concerns of safety and comfort, it optimizes the furniture layout of various areas of the indoor space, providing the elderly with a better quality, safer and more comfortable living environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 is a flow chart of an interior design method based on image processing technology of the present invention;

[0046] Figure 2 The system block diagram of an interior design system based on image processing technology of the present invention. DETAILED DESCRIPTION

[0047] The present invention will be further described below in conjunction with the accompanying drawings and implementation modes.

[0048] Embodiment 1

[0049] like Figure 1 As shown, an interior design method based on image processing technology includes the following steps:

[0050] S100, collecting a layout image and three-dimensional space data of an indoor space, and preprocessing the layout image to obtain a preprocessed layout image;

[0051] In the specific implementation process, the specific steps of step S100 are:

[0052] S101, shooting the indoor space from multiple angles by a camera device, collecting and acquiring layout images, and scanning and acquiring three-dimensional point cloud data of the indoor space by a scanning device;

[0053] Specifically, the indoor space is photographed with high-definition cameras to cover all corners and key areas, ensuring that complete and detailed indoor layout information can be obtained in subsequent analysis. After collecting the captured layout images, the indoor space is scanned with a 3D laser scanner to obtain the 3D point cloud data of the indoor space.

[0054] S102, preprocessing the collected layout image, specifically including denoising, contrast enhancement and color correction;

[0055] Specifically, Photoshop is used to eliminate noise in the layout image, and the contrast of the layout image is enhanced to improve the visual effect of the image and the accuracy of subsequent analysis, and color correction is used to eliminate these deviations to eliminate the color deviation of the layout image caused by factors such as light and color temperature.

[0056] S103, standardizing the size of the preprocessed layout image and storing it;

[0057] Specifically, the preprocessed layout images are size standardized, including setting parameters such as a uniform resolution, image size or scaling ratio. For example, the resolution of all bedroom layout images is set to 1920x1080 pixels, or the width of all images is uniformly adjusted to 1000 pixels.

[0058] S200, identifying the activity routes and ranges of the elderly according to the monitoring data, dividing into multiple activity areas, and identifying specific equipment and environments in the activity areas;

[0059] In the specific implementation process, the specific steps of step S200 are:

[0060] S201, collecting daily activity data of the elderly, and using data analysis tools to collect statistics on the collected activity data to obtain statistical results, wherein the daily activity data specifically includes walking tracks and stay time;

[0061] Specifically, the daily activity data of the elderly are collected through sensors installed indoors, specifically infrared sensors, pressure sensors, and cameras. The collected activity data are imported into a data analysis tool, specifically Python, for cleaning, sorting, and analysis. Cluster analysis in statistical methods is used to extract key information, such as the areas where the elderly most frequently move around, the average stay time in each area, and the changing trends of activity patterns.

[0062] For example, the key information extracted from the analysis shows that the elderly spend the longest time in the living room, and mainly concentrate on the sofa and TV area; the nighttime activities in the bedroom are mainly concentrated in the bedtime and waking up time.

[0063] S202, dividing the indoor space into different activity areas according to the statistical results;

[0064] Specifically, the indoor space is divided into different activity areas according to the statistical results and the actual situation of the indoor space. The activity areas divided in this embodiment are: a rest area, an entertainment area, a dining area, and a toilet.

[0065] S203, in each activity area, identifying specific equipment and environment information, including furniture layout data, safety facility data, lighting data, and ground data;

[0066] Specifically, in each activity area, the layout and size information of the furniture shall be marked in detail, including the type, location, orientation and distance between the furniture; the safety facilities in each activity area shall be evaluated and marked, including emergency call buttons, handrails and anti-slip floors; the lighting conditions of each activity area shall be checked and recorded, including the type of light source, brightness, color temperature and lighting coverage; the material, flatness, anti-slip performance and cleanliness of the ground shall be marked.

[0067] S300, identifying the safety hazards of household appliances and the environment in each activity area, and assigning a comprehensive hazard weight to each activity area;

[0068] In the specific implementation process, the specific steps of step S300 are:

[0069] S301, collecting specific equipment and environmental information marked in each activity area, and judging the safety hazard level of each activity area through a preset safety parameter threshold section, specifically including judging the equipment safety hazard level and environmental information of each activity area respectively;

[0070] Specifically, the specific equipment information is identified in the corresponding collection step S203, and the preset equipment safety parameter threshold segment is used to evaluate the operating status, maintenance status, etc. of each equipment, determine its safety hazard level, and assign a corresponding weight value according to the safety hazard level; based on the collected environmental information, according to the preset environmental safety parameter threshold segments, specifically the suitable temperature range threshold segment, the humidity threshold segment, and the air quality standard threshold segment, the environmental conditions of each activity area are compared and evaluated, and a weight value corresponding to the evaluation value is assigned.

[0071] S302, based on the result of judging the safety hazard level of each activity area, calculating a comprehensive hazard weight for each activity area in a product manner;

[0072] Specifically, a corresponding weight value is assigned based on the safety hazard level obtained in step S301, and a weight value corresponding to the environmental condition assessment value is assigned, and the two weight values ​​are multiplied to obtain a comprehensive hazard weight.

[0073] S400, dynamically adjust the furniture layout weight based on the physical condition and behavioral habits of the elderly;

[0074] In the specific implementation process, step S400 is specifically as follows:

[0075] S401, obtaining physical condition data and behavioral habit data of the elderly, wherein the physical condition data specifically includes mobility and vision status, and the behavioral habit data specifically includes waking time and dining habits;

[0076] By collecting data from wearable devices and vision tests, we extract data on the physical condition of the elderly; and by collecting recorded data on the elderly’s eating habits and meal times.

[0077] S402, setting furniture layout weights in different scenes of each activity area based on the physical condition data and behavioral habit data of the elderly;

[0078] Specifically, different usage scenarios are set according to the functions of the activity areas and the physical condition data and behavioral habit data of the elderly. In this embodiment, the scenarios are set as rest scenes in the bedroom, entertainment scenes in the living room, and cooking scenes in the kitchen, etc., and weights are set for the furniture layout in each scene. In this embodiment, in the rest scene in the bedroom, if the elderly have poor mobility, the weight of the bed being located close to the door or bathroom is increased, and the weight of the brightness of the night lighting is increased.

[0079] S403. Monitor and identify changes in the physical conditions and behavioral habits of the elderly, and regularly evaluate and adjust the weight of furniture layout;

[0080] Specifically, the physical conditions and behavioral habits of the elderly are monitored regularly to identify any potential changes, and the impact of changes in physical conditions and behavioral habits on furniture layout is analyzed through existing data analysis methods. Based on the evaluation results, the furniture layout weights can be selectively defined manually or automatically to obtain the adjusted furniture layout weights.

[0081] S500, comprehensively analyzing the hidden danger weights and furniture layout weights of each activity area, and generating corresponding layout suggestion plans;

[0082] In the specific implementation process, the specific steps of step S500 are:

[0083] S501. Standardize the hidden danger weights and furniture layout weights of each activity area to obtain integrated weight data;

[0084] Specifically, the Min-Max Scaling or Z-score standardization method is used to convert the hidden danger weights and furniture layout weights of each activity area into dimensionless values, and then integrate them to obtain integrated weight data.

[0085] S502, inputting the integrated weight data into a preset genetic algorithm, and outputting a plurality of candidate layout solutions;

[0086] Specifically, the parameters of the genetic algorithm are set, including population size, crossover rate, mutation rate, number of iterations, etc., and the integrated weight data obtained in step 501 is used as the input of the genetic algorithm. The genetic algorithm generates multiple candidate layout schemes through an iterative process (selection, crossover, mutation), wherein each candidate layout scheme is a specific combination of layout parameters such as furniture position and orientation.

[0087] S503, setting evaluation criteria, evaluating and screening multiple candidate layout solutions, and obtaining a screened layout recommendation solution;

[0088] Specifically, set specific evaluation criteria for traffic convenience, visual accessibility, degree of reduction of safety hazards, and spatial comfort, evaluate each candidate layout plan, calculate its score for meeting the evaluation criteria, screen according to the score, and select the layout plan with the highest score or that meets specific conditions as the final layout recommendation.

[0089] S600, using the layout suggestion as input, generating a three-dimensional model of the indoor space through a three-dimensional modeling technology;

[0090] In the specific implementation process, step S600 is specifically as follows:

[0091] S601, using the layout suggestion as input, and constructing a three-dimensional model of the indoor space using three-dimensional modeling software;

[0092] Specifically, a layout suggestion is taken as input, which specifically includes detailed information such as the position, orientation, and size of furniture, and the collected three-dimensional spatial data is input at the same time, and a three-dimensional model of the interior space is constructed using any three-dimensional modeling software such as SketchUp, AutoCAD, and 3ds Max.

[0093] S602, previewing the effect of the three-dimensional model, and verifying the three-dimensional model, and obtaining the final three-dimensional model after verification;

[0094] Specifically, through the preview function of the 3D modeling software, the 3D model effect of the interior space can be viewed from different angles and perspectives, and the size of the furniture and the space size in the 3D modeling can be checked to see if they are consistent with the size in the layout proposal. Once the size is verified to be correct, the final 3D model can be obtained.

[0095] Embodiment 2

[0096] like Figure 2 As shown, an interior design system based on image processing technology is applied to an interior design method based on image processing technology, wherein the design system includes:

[0097] The acquisition and processing module is used to acquire the layout image and three-dimensional space data of the indoor space, and pre-process the layout image to obtain the pre-processed layout image;

[0098] Specifically, the acquisition and processing module collects layout images of indoor spaces captured by devices such as high-definition cameras or scanners, and three-dimensional spatial data obtained by devices such as lidar or depth cameras; and pre-processes the collected layout images, including image denoising, contrast enhancement, edge detection, etc., to improve image quality.

[0099] An identification module is used to identify the activity routes and ranges of the elderly according to the monitoring data, divide them into multiple activity areas, and identify the specific equipment and environment in the activity areas;

[0100] Specifically, the identification module monitors the activities of the elderly through a sensor network (specifically infrared sensors, pressure sensors, etc.), records their activity routes and residence time, and identifies areas where the elderly frequently move based on the monitoring data, and divides them into multiple activity areas accordingly; in each divided activity area, image recognition technology is used to identify specific equipment and environmental information, specifically furniture location, appliance type, light conditions, etc.

[0101] A weight allocation module is used to identify the safety hazards of household appliances and the environment in each activity area, and assign a comprehensive hazard weight to each activity area;

[0102] Specifically, the weight allocation module uses the preset safety parameter threshold segments to evaluate the safety hazards of household appliances in each activity area, specifically the aging degree of the appliances, the rationality of the layout of the sockets, etc. At the same time, the environmental factors of the activity area are evaluated, such as the slippery degree of the ground, the brightness of the lighting, etc. According to the safety hazard assessment results, a comprehensive hazard weight is assigned to each activity area by multiplication, where the hazard weight reflects the safety risk level of the area.

[0103] Dynamic adjustment module, used to dynamically adjust the furniture layout weight based on the physical conditions and behavioral habits of the elderly;

[0104] Specifically, the physical conditions of the elderly are regularly monitored, such as mobility, vision, etc., and behavioral habits, such as waking time, dining habits, etc. Different usage scenarios are set according to the monitoring results, and the furniture layout weights of each set usage scenario are different. For example, in the rest scene of the bedroom, if the elderly have poor mobility, the weight of the bed's position close to the door or bathroom is increased, and the weight of the brightness of the night lighting is increased.

[0105] The suggestion generation module is used to integrate the hidden danger weights and furniture layout weights of each activity area to generate corresponding layout suggestion plans;

[0106] Specifically, the hidden danger weights and furniture layout weights of each activity area are comprehensively considered, and the optimal layout suggestion is calculated through genetic algorithm.

[0107] The 3D modeling module is used to generate a 3D model of the indoor space through 3D modeling technology using the layout suggestion plan as input.

[0108] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0109] Those skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0110] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

Claims

1. An interior design method based on image processing technology, characterized in that: The design method comprises the following steps: Collecting layout images and three-dimensional space data of the indoor space, and preprocessing the layout images to obtain preprocessed layout images; Identify the activity routes and ranges of the elderly based on monitoring data and divide them into multiple activity areas, and identify the specific equipment and environment within the activity areas; Identify the safety hazards of household appliances and environment in each activity area, and assign comprehensive hazard weights to each activity area; Dynamically adjust the weight of furniture layout based on the physical conditions and behavioral habits of the elderly; The hidden danger weights and furniture layout weights of each activity area are combined to generate corresponding layout suggestions; Taking the layout proposal as input, a 3D model of the interior space is generated through 3D modeling technology.

2. The interior design method based on image processing technology according to claim 1, characterized in that: The specific steps of collecting the layout image and three-dimensional space data of the indoor space and preprocessing the layout image to obtain the preprocessed layout image are: The indoor space is photographed from multiple angles by using a camera device to acquire layout images, and the indoor space is scanned by a scanning device to acquire three-dimensional point cloud data; Preprocessing the collected layout images, including denoising, contrast enhancement and color correction; The preprocessed layout images are size-standardized and stored.

3. The interior design method based on image processing technology according to claim 1, characterized in that: The specific steps of identifying the activity routes and ranges of the elderly according to the monitoring data, dividing into multiple activity areas, and identifying the specific equipment and environment in the activity areas are as follows: Collect daily activity data of the elderly, and use data analysis tools to collect statistics on the collected activity data to obtain statistical results, where the daily activity data specifically includes walking tracks and stay time; According to the statistical results, the indoor space is divided into different activity areas; In each activity area, specific equipment and environmental information is identified, including furniture layout data, safety facility data, lighting data, and ground data.

4. The interior design method based on image processing technology according to claim 1, characterized in that: The specific steps of identifying the potential safety hazards of household appliances and environment in each activity area and assigning a comprehensive potential safety hazard weight to each activity area are as follows: Collect specific equipment and environmental information identified in each activity area, and judge the safety hazard level of each activity area through the preset safety parameter threshold section, specifically including judging the equipment safety hazard level and environmental information of each activity area respectively; Based on the results of the judgment on the safety hazard level of each activity area, a comprehensive hazard weight is calculated for each activity area in a multiplication manner.

5. The interior design method based on image processing technology according to claim 1, characterized in that: The specific steps of dynamically adjusting the furniture layout weight based on the physical condition and behavioral habits of the elderly are as follows: Obtaining the physical condition data and behavioral habit data of the elderly, wherein the physical condition data specifically includes mobility and vision status, and the behavioral habit data specifically includes waking time and dining habits; Based on the physical condition and behavioral habit data of the elderly, the weights of furniture layout in different scenes of each activity area are set; Monitor and identify changes in the physical conditions and behavioral habits of the elderly, and regularly evaluate and adjust the weight of furniture layout.

6. The interior design method and system based on image processing technology according to claim 1, characterized in that: The specific steps of generating the corresponding layout suggestion scheme by combining the hidden danger weights and furniture layout weights of each activity area are as follows: The hidden danger weights and furniture layout weights of each activity area are standardized to obtain integrated weight data; The integrated weight data is input into a preset genetic algorithm to output multiple candidate layout solutions; Evaluation criteria are set to evaluate and screen multiple candidate layout solutions to obtain screened layout recommendation solutions.

7. The interior design method and system based on image processing technology according to claim 1, characterized in that: The specific steps of generating a 3D model of the indoor space by using the 3D modeling technology with the layout suggestion as input are as follows: Taking the layout proposal as input, a 3D model of the interior space is constructed using 3D modeling software; Preview the effect of the 3D model and verify the 3D model to obtain the final 3D model after verification.

8. An interior design system based on image processing technology, applied to an interior design method based on image processing technology according to any one of claims 1 to 7, characterized in that: The design system includes: The acquisition and processing module is used to acquire the layout image and three-dimensional space data of the indoor space, and pre-process the layout image to obtain the pre-processed layout image; An identification module is used to identify the activity routes and ranges of the elderly according to the monitoring data, divide them into multiple activity areas, and identify the specific equipment and environment in the activity areas; A weight allocation module is used to identify the safety hazards of household appliances and the environment in each activity area, and assign a comprehensive hazard weight to each activity area; Dynamic adjustment module, used to dynamically adjust the furniture layout weight based on the physical conditions and behavioral habits of the elderly; The suggestion generation module is used to integrate the hidden danger weights and furniture layout weights of each activity area to generate corresponding layout suggestion plans; The 3D modeling module is used to generate a 3D model of the indoor space through 3D modeling technology using the layout suggestion plan as input.

Images