Device and system for evaluating and scoring child friendliness in public space of residential area

Abstract

The invention relates to the technical field of urban planning evaluation, and discloses a residential area public space child friendliness evaluation scoring device and system.The residential area public space child friendliness evaluation scoring device comprises an evaluation device body, and the front side of the evaluation device body is fixedly connected with an image display screen; a comprehensive score display module is fixedly connected to the front side of the evaluation device body and located at the bottom of the image display screen, and a control selection button is fixedly connected to the front side of the evaluation device body and located at the bottom of the comprehensive score display module. The front side of the evaluation device body is fixedly connected with a public opinion collection module on the right side of the image display screen, and the front side of the evaluation device body is fixedly connected with a satisfaction module below the public opinion collection module. Through unmanned aerial vehicle aerial photography and infrared imaging technologies, residential area image data are comprehensively collected, intelligent extraction and analysis are performed through a convolutional neural network, objective and accurate evaluation results can be efficiently obtained, and support is provided for urban planning decision making.

Description

Technical Field

[0001] The present invention relates to the technical field of urban planning evaluation, and specifically to an evaluation and scoring device and system for the child-friendliness of public spaces in residential areas. Background Technique

[0002] The social status of children and their living and developing conditions are important indicators to measure the degree of social civilization. Currently, the world advocates the construction of child-friendly cities. Coupled with the fact that residential areas, as the basic units of urban governance under the urban renewal strategy, tend to improve the quality of public activity spaces. Therefore, building child-friendly public activity spaces in residential areas has become a key focus direction in the current urban renewal strategy.

[0003] Currently, in the implementation of the special planning for urban residential area renewal, there is a lack of refined child-friendly orientation in the renewal of public activity spaces in residential areas, the interests of multiple parties are not balanced, and accurate evaluation results cannot be provided, which cannot support urban planning decisions. Summary of the Invention

[0004] Aiming at the deficiencies of the prior art, the present invention provides an evaluation and scoring device and system for the child-friendliness of public spaces in residential areas, which solves the problems of being unable to provide accurate evaluation results and support urban planning decisions in the implementation of the special planning for urban residential area renewal.

[0005] To achieve the above object, the present invention is realized through the following technical solutions: An evaluation and scoring device for the child-friendliness of public spaces in residential areas, including a main body of the evaluation device. A video display screen is fixedly connected to the front side of the main body of the evaluation device. A comprehensive score display module is fixedly connected to the bottom of the video display screen on the front side of the main body of the evaluation device. A control and selection button is fixedly connected to the bottom of the comprehensive score display module on the front side of the main body of the evaluation device. A public opinion collection module is fixedly connected to the right side of the video display screen on the front side of the main body of the evaluation device. A satisfaction module is fixedly connected to the lower part of the public opinion collection module on the front side of the main body of the evaluation device. A sub-element scoring and display module is arranged on the right side of the main body of the evaluation device. A weight distribution data module is arranged on the left side of the main body of the evaluation device. A control switch is fixedly connected to the upper left side of the main body of the evaluation device. A wire receiver is fixedly connected to the upper right side of the main body of the evaluation device.

[0006] Preferably, the public opinion collection module includes an opinion display and an opinion input module, and the opinion display is arranged on the top of the opinion input module.

[0007] Preferably, the sub-element scoring and display module includes a green space scoring module, a traffic space module, and an activity space module, and the green space scoring module, the traffic space module, and the activity space module are fixedly connected to the right side of the main body of the evaluation device from top to bottom respectively.

[0008] Preferably, the weight distribution data module includes a children's opinion weight module, a parent opinion weight module, and an expert opinion weight module. The children's opinion weight module, the parent opinion weight module, and the expert opinion weight module are fixedly connected to the left side of the main body of the evaluation device from top to bottom. Moving sliders are provided inside the children's opinion weight module, the parent opinion weight module, and the expert opinion weight module.

[0009] A system for an evaluation and scoring device of the children's friendliness of a residential community public space includes a drone information collection module, an intelligent extraction system module based on a convolutional neural network, and an analysis result display module. The drone information collection module is connected to the intelligent extraction system module based on the convolutional neural network, and the intelligent extraction system module based on the convolutional neural network is connected to the analysis result display module.

[0010] Preferably, the drone information collection module includes unmanned facilities and a first wireless transmission unit. The aerial photography module of the unmanned facilities is respectively connected to an image collection unit and an infrared imaging unit.

[0011] Preferably, the intelligent extraction system module based on the convolutional neural network includes a second wireless transmission unit, convolutional neural network technology, a convolutional layer, a downsampling layer, a fully connected layer, a visualization analysis module, and an image data information output unit. The convolutional layer, the downsampling layer, and the fully connected layer are all connected to the convolutional neural network technology. The convolutional layer, the downsampling layer, and the fully connected layer are interconnected. The second wireless transmission unit is connected to the first wireless transmission unit.

[0012] Preferably, the intelligent extraction system module based on the convolutional neural network includes a public opinion input unit. The public opinion input unit is connected to a Focus Group public opinion weight ratio unit. The Focus Group public opinion weight ratio unit is connected to a TopSIS method data processing unit. The TopSIS method data processing unit is connected to an information processing output unit. The public opinion input unit is connected to the image data information output unit.

[0013] The present invention provides an evaluation and scoring device and system for the children's friendliness of a residential community public space. It has the following beneficial effects:

[0014] 1. Through UAV aerial photography and infrared imaging technology, the present invention comprehensively collects residential area image data, and through convolutional neural network for intelligent extraction and analysis, it can accurately quantify sub-indicators of the child-friendliness of public spaces, such as green view rate, activity level, etc. At the same time, combined with the opinions of multiple parties and the TopSIS method for comprehensive weight determination, an objective and accurate evaluation result can be efficiently obtained, providing support for urban planning decisions.

[0015] 2. The inventor of the present invention has a clear division of the front view panel through humanization, and the image display, comprehensive score, opinion feedback and satisfaction modules are all clearly visible. The right side can be pulled out to view the scores of each classification element, and the left side can flexibly adjust the weights of public opinions. This multi-information display method is convenient for users to intuitively understand the evaluation situation and promotes public participation in the construction of child-friendly urban residential areas. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is the front view of the present invention;

[0017] Figure 2 is the system framework diagram of the present invention.

[0018] Among them, 1. Main body of the evaluation device; 2. Image display screen; 3. Comprehensive score display module; 4. Control selection button; 5. Opinion display; 6. Opinion input module; 7. Satisfaction module; 8. Sub-element score display module; 9. Weight distribution data module; 10. Control switch; 11. Line receiver; 12. Green space score module; 13. Traffic space module; 14. Activity space module; 15. Child opinion weight module; 16. Parent opinion weight module; 17. Expert opinion weight module; 18. Moving slider; 19. UAV information acquisition module; 20. Intelligent extraction system module based on convolutional neural network; 21. Analysis result display module. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0020] Please refer to the appendix Figure 1, an embodiment of the present invention provides a device for evaluating and scoring the child-friendliness of a residential community public space, including the main body 1 of the evaluation device. A video display screen 2 is fixedly connected to the front side of the main body 1 of the evaluation device. The main body 1 of the evaluation device serves as the core carrier, integrating each component to realize the overall operation of evaluating and scoring the child-friendliness of the residential community public space, coordinating a series of processes such as data collection, processing, analysis, and result display. The video display screen 2 displays the residential community images collected by the drone information collection module 19 and processed by the intelligent extraction system module 20 based on a convolutional neural network, providing an intuitive visual basis for subsequent analysis. A comprehensive score display module 3 is fixedly connected to the front side of the main body 1 of the evaluation device at the bottom of the video display screen 2. A control selection button 4 is fixedly connected to the front side of the main body 1 of the evaluation device at the bottom of the comprehensive score display module 3. The control selection button 4 is used to control the relevant operation selection of the main body 1 of the evaluation device, facilitating the user to switch and adjust the device functions. A public opinion collection module is fixedly connected to the front side of the main body 1 of the evaluation device on the right side of the video display screen 2. A satisfaction module 7 is fixedly connected to the front side of the main body 1 of the evaluation device below the public opinion collection module 7. The satisfaction module 7 outputs the current scoring result of the child-friendliness of the residential community public space obtained through comprehensive analysis, intuitively reflecting the overall level. A sub-element scoring display module 8 is arranged on the right side of the main body 1 of the evaluation device. The sub-element scoring display module 8 can be selectively pulled out and viewed to display the distribution scores of each element of the public activity space, namely the green space, traffic space, and activity space, calculated by using visual recognition and visualization analysis technology, facilitating an in-depth understanding of the evaluation of each space. A weight distribution data module 9 is arranged on the left side of the main body 1 of the evaluation device. A control switch 10 is fixedly connected to the top left side of the main body 1 of the evaluation device. A wire receiver 11 is fixedly connected to the top right side of the main body 1 of the evaluation device. The wire receiver 11 receives the image and infrared data transmitted by the drone information collection module 19, realizing the transmission of data from the drone to the main body 1 of the evaluation device.

[0021] The public opinion collection module includes an opinion display 5 and an opinion input module 6. The opinion display 5 is arranged on top of the opinion input module 6. The opinion display 5 and the opinion input module 6 together form the public opinion collection module. The opinion display 5 is used to display the content of the decision-making opinions input by the public. The sub-element scoring display module 8 includes a green space scoring module 12, a traffic space module 13, and an activity space module 14. The green space scoring module 12, the traffic space module 13, and the activity space module 14 are respectively fixedly connected to the right side of the evaluation device main body 1 from top to bottom. The green space scoring module 12, as part of the sub-element scoring display module 8, specifically displays the score of the green space in the evaluation of child-friendliness. The traffic space module 13, as part of the sub-element scoring display module 8, shows the score of the traffic space in the evaluation of child-friendliness, reflecting the degree of child-friendliness of the traffic space. The activity space module 14, as part of the sub-element scoring display module 8, presents the score of the activity space in the evaluation of child-friendliness, reflecting the level of child-friendliness of the activity space. The weight assignment data module 9 includes a children's opinion weight module 15, a parent opinion weight module 16, and an expert opinion weight module 17. The children's opinion weight module 15, the parent opinion weight module 16, and the expert opinion weight module 17 are respectively fixedly connected to the left side of the evaluation device main body 1 from top to bottom. Inside the children's opinion weight module 15, the parent opinion weight module 16, and the expert opinion weight module 17, there are movable sliders 18. In the weight assignment data module 9, the children's opinion weight module 15 determines the weight ratio of children's opinions in the evaluation of child-friendliness of the residential public space. The parent opinion weight module 16 clarifies the weight of parent opinions in the evaluation, comprehensively considering the influence of the parent perspective on the evaluation. The expert opinion weight module 17 sets the weight of expert opinions in the evaluation, introducing the role of the professional perspective in the evaluation. The movable slider 18 is used to adjust the weight ratio of the children's, parents', and experts' opinion weight modules 17 by moving, realizing the comprehensive quantification of multi-agent opinions. The weight assignment data module 9 quantifies and determines the weight ratio of the children's opinion weight module 15, the parent opinion weight module 16, and the expert opinion weight module 17 through the movable slider 18, integrating multi-agent opinions to make the evaluation result more comprehensive and objective.

[0022] Please refer to the appendix Figure 2, a system for evaluating and scoring the child-friendliness of a residential community's public space, including a drone information collection module 19, an intelligent extraction system module 20 based on a convolutional neural network, and an analysis result display module 21. The drone information collection module 19 is connected to the intelligent extraction system module 20 based on a convolutional neural network, and the intelligent extraction system module 20 based on a convolutional neural network is connected to the analysis result display module 21. The drone information collection module 19 includes unmanned facilities and a first wireless transmission unit. The aerial photography module of the unmanned facilities is respectively connected to an image collection unit and an infrared imaging unit. The drone information collection module 19 is equipped with an image collection module and an intelligent infrared imaging module, which conduct all-round aerial photography of the urban residential area, collect visible light images, infrared data, and position information, and transmit the data to the evaluation device main body 1 through wireless transmission technology. The intelligent extraction system module 20 based on a convolutional neural network includes a second wireless transmission unit, convolutional neural network technology, convolutional layers, downsampling layers, fully connected layers, a visualization analysis module, and an image data information output unit. The convolutional layers, downsampling layers, and fully connected layers are all connected to the convolutional neural network technology, and the convolutional layers, downsampling layers, and fully connected layers are interconnected. The second wireless transmission unit is connected to the first wireless transmission unit. The intelligent extraction system module 20 based on a convolutional neural network includes a public opinion input unit. The public opinion input unit is connected to a Focus Group public opinion weight ratio unit. The Focus Group public opinion weight ratio unit is connected to, the Focus Group public opinion weight ratio unit is connected to a TopSIS method data processing unit. The comprehensive score display module 3 can present the comprehensive score of the child-friendliness of the residential community's public space obtained through visual recognition, visualization analysis, combined with public opinion, and using the TopSIS method for comprehensive weight determination and data processing. The TopSIS method data processing unit is connected to an information processing output unit. The public opinion input unit is connected to the image data information output unit. The intelligent extraction system module 20 based on a convolutional neural network deeply processes the image data transmitted by the drone information collection module 19, and realizes image recognition, feature extraction, and topological processing through convolutional layers, downsampling layers, and fully connected layers, laying a foundation for subsequent quantitative evaluation. The analysis result display module 21 includes an image display screen 2, a comprehensive score display module 3, an opinion feedback module, a satisfaction module 7, a sub-element scoring display module 8, a weight distribution data module 9, etc., and centrally displays the various result data of the evaluation of the child-friendliness of the residential community's public space. Among them, the opinion feedback module is composed of an opinion display 5 and an opinion input module 6.

[0023] Working principle: First, with the help of the drone device 19 equipped with an image acquisition module and an intelligent infrared imaging module, an all-round aerial photography operation is carried out on urban residential areas. During this process, the image acquisition unit focuses on capturing the visible light images of the residential areas, and details the actual layout of the public spaces in the residential areas, the condition of facilities and other intuitive information; the intelligent infrared imaging module, through infrared imaging technology, keenly detects the temperature differences in different areas of the public spaces in the residential areas, and then identifies potential functional areas or hot spots of human flow activities. At the same time, the GPS receiving and transmitting unit accurately records the position information of the drone in real time, and through wireless transmission technology, efficiently transmits the collected images and infrared data to the evaluation and scoring device 1 on the ground.

[0024] Subsequently, the intelligent extraction system module 20 based on the convolutional neural network starts to deeply process the transmitted image data. In the convolutional layer, the input image is convolved with filters. The filters slide orderly on the image, extracting detailed features of local areas of the image. Through different filters, various features such as the building outlines of the residential areas, the boundaries of greenery, and the directions of roads can be extracted, transforming the original image into a series of feature maps. In order to reduce the data volume, reduce the computational complexity and retain important features, the feature maps then enter the downsampling layer. Through common downsampling methods such as max pooling or average pooling, the feature maps are downsampled, compressing their sizes, highlighting the main features, and effectively reducing noise and redundant information. The feature maps after convolutional and downsampling processing are further connected to the fully connected layer. The fully connected layer integrates all the features, and through a series of weight parameters, accurately maps the features to different categories or attributes, successfully realizing the image recognition function, such as accurately identifying different functional areas such as the activity space 14, the traffic space 13, and the greening space 12 in the residential areas, and performing topological processing on them for subsequent in-depth analysis and display.

[0025] The image data processed by the convolutional neural network is quantitatively evaluated using visual recognition and visualization analysis techniques. Through pre-set algorithms and models, all elements of the public spaces in the residential areas are comprehensively quantified. For example, key indicators such as the area of the activity space 14, the smoothness of the traffic space 13, and the greening rate of the greening space 12 are accurately calculated, and combined with the corresponding scoring criteria, the comprehensive score of the child-friendliness of the community public activity space is accurately calculated. At the same time, the distribution scores of all elements of the public activity space are calculated intelligently, such as the score of the activity space 14, the score of the traffic space 13, and the score of the greening space 12.

[0026] The public opinion collection module is responsible for collecting opinions from multiple subjects such as children, parents, and experts. The public inputs their decision-making opinions into device 1 through the opinion input module 6. Immediately, the weight distribution data module 9 in the left drawer module of device 1 comes into play. By moving the slider 18, the weight ratios of the children's opinion weight module 15, the parents' opinion weight module 16, and the experts' opinion weight module 17 can be quantitatively determined. Since different subjects have different focuses and evaluation criteria for the child-friendliness of the residential public space, this method can fully consider the opinions of multiple subjects comprehensively, making the evaluation results more comprehensive and objective.

[0027] Finally, the TopSIS method is used to conduct comprehensive weighted data processing on the above-mentioned result data. The TopSIS method, namely the Technique for Order Preference by Similarity to an Ideal Solution, determines the relative superiority and inferiority of each object scientifically by calculating the distances between each evaluation object and the positive ideal solution and the negative ideal solution. In this device 1, the objective data obtained from visual recognition and visual analysis and the subjective data obtained from public opinion collection are organically combined, and in-depth comprehensive analysis is carried out using the TopSIS method to obtain the final effective research results on the child-friendliness of the residential public space. The evaluation results are intuitively displayed through device main body 1. The image display section on the front view panel of device main body 1, namely the image display screen 2, displays the images of the residential area collected and processed by the drone; the comprehensive score module 3 displays the comprehensive score of the child-friendliness of the residential public space; the opinion feedback module consists of the opinion display 5 and the opinion input module 6 to display the opinion content input by the public; the satisfaction module 7 outputs the final current situation scoring result, intuitively reflecting the overall level of the child-friendliness of the residential public space. On the right side of device main body 1, a small block that can be pulled out to display the scores of each classification element can be pulled out, that is, the sub-element scoring display module 8, which respectively displays the specific scores of the activity space 14, the traffic space 13, and the greening space 12, facilitating users to selectively view the evaluation results of each element; on the left side of device main body 1, the weight distribution data of public opinion collection is displayed, that is, the weight distribution data module 9 presents the weight ratios of the opinions of each subject. The analysis result display module 21 includes the image display screen 2, the comprehensive score module 3, the opinion feedback module consisting of the opinion display 5 and the opinion input module 6, the satisfaction module 7, the sub-element scoring display module 8, the weight distribution data module 9, etc. The control selection button 4 and the control switch 10 can operate and control device main body 1, and the wireless receiver 11 is used to receive the images output by the drone.

[0028] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A device for evaluating and scoring the child-friendliness of a residential community's public space, comprising a main body (1) of the evaluation device, characterized in that, On the front side of the main body (1) of the evaluation device, an image display screen (2) is fixedly connected. At the bottom of the image display screen (2) on the front side of the main body (1) of the evaluation device, a comprehensive score display module (3) is fixedly connected. At the bottom of the comprehensive score display module (3) on the front side of the main body (1) of the evaluation device, a control selection button (4) is fixedly connected. On the right side of the image display screen (2) on the front side of the main body (1) of the evaluation device, a public opinion collection module is fixedly connected. At the bottom of the public opinion collection module on the front side of the main body (1) of the evaluation device, a satisfaction module (7) is fixedly connected. On the right side of the main body (1) of the evaluation device, a sub-factor scoring display module (8) is provided. On the left side of the main body (1) of the evaluation device, a weight distribution data module (9) is provided. On the left side of the top of the main body (1) of the evaluation device, a control switch (10) is fixedly connected. On the right side of the top of the main body (1) of the evaluation device, a wire receiver (11) is fixedly connected.

2. The children-friendly degree evaluation and scoring device for the public space of a residential area according to claim 1, characterized in that The public opinion collection module includes an opinion display (5) and an opinion input module (6), and the opinion display (5) is arranged on the top of the opinion input module (6).

3. The child-friendly evaluation and scoring device for the public space of a residential area according to claim 1, wherein The sub-factor scoring display module (8) includes a green space scoring module (12), a traffic space module (13), and an activity space module (14). The green space scoring module (12), the traffic space module (13), and the activity space module (14) are fixedly connected to the right side of the main body (1) of the evaluation device from top to bottom respectively.

4. A children-friendly degree evaluation and scoring device for the public space of a residential area according to claim 1, characterized in that, The weight distribution data module (9) includes a children's opinion weight module (15), a parent's opinion weight module (16), and an expert's opinion weight module (17). The children's opinion weight module (15), the parent's opinion weight module (16), and the expert's opinion weight module (17) are fixedly connected to the left side of the main body (1) of the evaluation device from top to bottom respectively. Inside the children's opinion weight module (15), the parent's opinion weight module (16), and the expert's opinion weight module (17), a moving slider (18) is provided.

5. A system for an evaluation and scoring device of the child - friendliness of a residential community public space, based on the evaluation and scoring device of the child - friendliness of a residential community public space according to any one of claims 1 - 4, characterized in that, It includes a drone information collection module (19), an intelligent extraction system module (20) based on a convolutional neural network, and an analysis result display module (21). The drone information collection module (19) is connected to the intelligent extraction system module (20) based on a convolutional neural network, and the intelligent extraction system module (20) based on a convolutional neural network is connected to the analysis result display module (21).

6. The child-friendly evaluation and scoring device and system for the public space of a residential area according to claim 1, characterized in that The drone information collection module (19) includes unmanned facilities and a first wireless transmission unit. The unmanned facility aerial photography module is respectively connected to an image acquisition unit and an infrared imaging unit.

7. The child - friendliness evaluation and scoring device and system for the public space of a residential area according to claim 1, wherein The intelligent extraction system module (20) based on convolutional neural network includes a second transmission wireless unit, convolutional neural network technology, convolutional layer, downsampling layer, fully connected layer, visual analysis module, and image data information output unit. The convolutional layer, downsampling layer, and fully connected layer are all connected to the convolutional neural network technology. The convolutional layer, downsampling layer, and fully connected layer are interconnected. The second transmission wireless unit is connected to the first wireless transmission unit.

8. The children-friendly evaluation and scoring device and system for the public space of a residential area according to claim 1, characterized in that The intelligent extraction system module (20) based on convolutional neural network includes a public opinion input unit. The public opinion input unit is connected to a Focus Group public opinion weight ratio unit. The Focus Group public opinion weight ratio unit is connected to a TopSIS method data processing unit. The TopSIS method data processing unit is connected to an information processing output unit. The public opinion input unit is connected to the image data information output unit.

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