Optimization Method for Outdoor Public Spaces on University Campuses Based on Multimodal Spatiotemporal Data

Abstract

The present invention discloses an optimization method for the outdoor public space of university campuses based on multi-modal spatio-temporal data, which relates to the field of public space optimization. In the field of school public space design, a morphological and vitality information database for the outdoor public space of university campuses is established through systematic empirical research and quantitative research. Quantitative research and analysis are carried out on the outdoor public space of university campuses according to the respective key index systems of morphology and vitality. Through the actual measurement and analysis of human perception data based on multi-modal spatio-temporal data, a dynamic model between spatial morphology - human perception - spatial vitality is established, and the correlation mechanism between spatial morphology and spatial vitality is studied. Furthermore, an optimization method for the outdoor public space of university campuses is refined and proposed. This method helps to improve the accuracy, scientificity and predictability of the optimization of the outdoor public space of university campuses, and also has positive reference value for the refined design of urban public spaces.

Description

Technical Field

[0001] The present invention relates to the field of public space optimization, specifically a method for optimizing the outdoor public space of a university campus based on multi-modal spatio-temporal data. Background Art

[0002] As a space commonly used by the public, public space provides paths, communication places and social stages for people's daily life. The architectural field has long been concerned about the form and vitality of urban public space. Under the background of the refined development of urban construction, the university campus can become a test field for urban design to effectively explore new ways to improve urban public space.

[0003] In the past planning and design of university campuses, there has often been a problem of emphasizing buildings and neglecting the environment, and the importance of outdoor public space has not been given enough attention. The existing design of university campus outdoor public space often focuses on composition and form, lacking attention to the actual usage mode of the space and the real feelings of users from the human scale, and the evaluation of public space and vitality often lacks sufficient accuracy and scientificity. Therefore, it is very necessary to establish a correlation mechanism between the form and vitality of university outdoor public space through new and more quantitative technical means, and then optimize the outdoor space of the university campus. Summary of the Invention

[0004] To solve the deficiencies mentioned in the above background art, the purpose of the present invention is to provide a method for optimizing the outdoor public space of a university campus based on multi-modal spatio-temporal data. The present invention systematically conducts empirical research to collect multi-modal spatio-temporal data and conducts quantitative research to reveal the key index systems and core influencing factors of form and vitality respectively. Through the actual measurement and analysis of human perception data at the human scale, a dynamic model between space form - human perception - space vitality is established, the correlation mechanism between space form and space vitality is studied, and then a method for optimizing the outdoor public space of the university campus is condensed and formed.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A method for optimizing the outdoor public space of a university campus based on multi-modal spatio-temporal data, comprising the following steps:

[0007] S1. Collect multi-modal spatio-temporal data of form and vitality, and establish a form and vitality information database;

[0008] S2. Through the database, conduct quantitative research and analysis on the outdoor public space of the university campus according to the key index systems and data of form and vitality respectively;

[0009] S3. Conduct actual measurement and analysis of perception data at the human scale in the outdoor public space of the campus;

[0010] S4. Build a dynamic model among the spatial form - human perception - spatial vitality of the outdoor public space on campus, and obtain the correlation mechanism between the spatial form and spatial vitality;

[0011] S5. Optimize the overall outdoor public space system in terms of planning and layout, and add infrastructure to the campus space.

[0012] Further, the specific content of S1 is as follows:

[0013] S1.1. Extract, measure and sort out the basic materials and data of the spatial form of the outdoor public space cases;

[0014] S1.2. Continuously record the data, and draw a vitality map after extracting and processing the recorded data;

[0015] S1.3. Sort out the data and graphical information of the spatial form and vitality of the outdoor space, systematically process and analyze the research and measured data using SPASS software, and construct a database of the spatial form and vitality information of the outdoor public space on campus using GIS.

[0016] Further, the recorded data is the spatial form positioning data obtained by using the spatial annotation method assisted by video positioning technology.

[0017] Further, the actual measurement in S3 includes physical environment data and human perception data, and the analysis is to construct a dynamic model by combining the research results of physical perception, spatial perception and perception influencing factors.

[0018] Further, the specific content of S4 includes:

[0019] S4.1. Use random forest data mining for data matching and XG Boost machine learning algorithm for modeling to reveal the key index systems, core influencing factors and their mutual relationships of the spatial form and vitality respectively, and establish a dynamic model;

[0020] S4.2. Use principal component analysis for dimensionality reduction and FP - Growth algorithm for correlation analysis to obtain the influencing mechanism, use XG Boost machine learning algorithm for modeling and quantitative analysis to obtain the feedback mechanism, and conduct an integrated analysis of the influencing mechanism and feedback mechanism to establish a correlation mechanism.

[0021] Further, the specific content of S5 includes:

[0022] S5.1. Optimize the overall outdoor public space system in terms of planning and layout, optimize and improve the corresponding indicators from the overall layout level and special form level to achieve the optimization of the outdoor space form;

[0023] S5.2. By using ENVI-MET, ECOTECT or CFD numerical simulation software as technical support, quantitatively simulate and analyze the physical environmental parameters of the outdoor space of the optimization plan to achieve dynamic feedback and adjustment and improvement of the optimization plan;

[0024] S5.3. Combine the overall analysis of the campus outdoor space system and add infrastructure to the campus space.

[0025] Advantages of the present invention:

[0026] 1. The outdoor public space targeted by the present invention is an important part of the university campus, with a large number and diverse forms. Its optimization is of great significance for the overall improvement of the university campus environment. At the same time, since the design principles and methods of the outdoor public space in universities have many similarities with those of urban public spaces, the present invention also has a positive reference significance for the optimization design of urban public spaces;

[0027] 2. The present invention pays attention to the actual use situation of the campus outdoor public space and the real feelings of teachers and students in it. Starting from the human scale perception, it uses multi-modal spatio-temporal data technology to provide more detailed spatial representation and more accurate perception records, conducts more precise and in-depth quantitative research, makes the refined design of the university campus easier to implement, and provides a practical and operable entry point for the vitality of the campus space;

[0028] 3. The present invention introduces new technical means such as multi-modal spatio-temporal data at the human scale for research, greatly improving the accuracy and information volume of the data, and enabling research that was difficult to complete in the past due to data acquisition methods. The application of new analysis methods such as the XGBoost machine learning algorithm, principal component analysis method, and FP-Growth algorithm greatly enhances the scientificity and predictability of the optimization plan, ensuring the pertinence and preposition of guiding the optimization plan. For a university campus with high cultural value, this helps to avoid unnecessary harm caused by blind operations. Description of the Drawings

[0029] The present invention will be further described below with reference to the drawings.

[0030] Figure 1 It is the process and data processing technology diagram of the present invention;

[0031] Figure 2 It is the content framework diagram of the multi-modal spatio-temporal data and correlation mechanism of the index system of the outdoor public space form and vitality;

[0032] Figure 3 It is the structural composition diagram of the multi-modal spatio-temporal data at the human scale. Detailed Embodiment

[0033] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0034] An optimization method for the outdoor public space on a university campus based on multi-modal spatio-temporal data, as Figure 1 shown, includes the following steps:

[0035] 1) Conduct a systematic investigation, measurement, and quantitative research on the outdoor public space of the university campus, collect multi-modal spatio-temporal data on form and vitality, and establish a database of form and vitality information.

[0036] 1.1) Select typical cases of outdoor public spaces within universities in the Nanjing area, and conduct a systematic investigation and measurement of the form and vitality of the outdoor public space on the university campus;

[0037] 1.2) Extract, measure, and organize the basic data and information of the spatial form of the selected outdoor public space cases. Use the spatial annotation method assisted by video positioning technology to obtain spatial form positioning data;

[0038] 1.3) Continuously record the data, and then through image recognition technology with video images as the data source, extract and process the obtained image data to draw a vitality map;

[0039] 1.4) Sort out the data and graphical information on the spatial form and vitality of the typical cases of outdoor spaces, conduct systematic processing and analysis of the investigation and measurement data, use SPASS software to conduct systematic processing and analysis of the investigation and measurement data, and use GIS to construct a database of form and vitality information for the outdoor public space on the university campus.

[0040] 2) Conduct quantitative research and analysis on the outdoor public space of the university campus according to the respective key index systems and data of form and vitality.

[0041] 2.1) Conduct quantitative research on the spatial form of the outdoor public space on the university campus according to the key index system of the spatial form of the outdoor public space on the university campus;

[0042] 2.2) Conduct quantitative research on the vitality of the outdoor public space on the university campus according to the key index system of the vitality of the outdoor public space on the university campus.

[0043] 3) Conduct actual measurement and analysis of human perception data at the human scale.

[0044] 3.1) Measurement of human perception data in the outdoor public space of the campus, including physical environment data and human perception data;

[0045] 3.2) Quantitative analysis of human perception data in the outdoor public space of the campus, and construction of a dynamic model by combining physical perception, spatial perception, and research results of perception influencing factors.

[0046] 4) Construct a dynamic model among the spatial form - human perception - spatial vitality of the outdoor public space on campus, and study the correlation mechanism between the spatial form and spatial vitality;

[0047] 4.1) Construction of a dynamic model among spatial form - human perception - spatial vitality. Use random forest data mining for data matching and XG Boost machine learning algorithm for modeling to reveal the key index systems and core influencing factors of spatial form and vitality and their mutual relationships, and establish a dynamic model;

[0048] 4.2) Research on the correlation mechanism between form and vitality. Use principal component analysis for dimensionality reduction and FP - Growth algorithm for correlation analysis to study the influencing mechanism, use XG Boost machine learning algorithm for modeling and quantitative analysis to study the feedback mechanism, and conduct an integrated study on the influencing mechanism and feedback mechanism to establish a correlation mechanism.

[0049] 5) Condense and propose methods for optimizing the outdoor public space on campus.

[0050] 5.1) Optimize the overall outdoor public space system in terms of planning layout, and optimize and improve the corresponding indicators at the overall layout level and special form level to achieve the optimization of the outdoor space form;

[0051] 5.2) With the help of numerical simulation software such as ENVI - MET, ECOTECT, CFD (FLUENT), etc. as technical support, conduct quantitative simulation analysis on the physical environment parameters of the outdoor space of the optimization plan, so as to achieve the dynamic feedback and adjustment and improvement of the optimization plan;

[0052] 5.3) Combine the analysis of the overall outdoor space system on campus, selectively add infrastructure in the campus space, create resilient facilities in the campus space, and enhance the adaptability of the campus space.

[0053] Figures 2 - 3 Implementation case. The following will elaborate on the technical solution of the present invention in detail by combining the investigation, measurement, and attached drawings of the outdoor public space of universities in the Nanjing area:

[0054] Systematic investigation, measurement, and quantitative research on the spatial form and vitality data of the outdoor public space on campus, and establish a database:

[0055] Develop a morphological and vitality information database for the outdoor public spaces on university campuses;

[0056] 1.1) Select a total of 10 university campuses of different ages and types in the Nanjing area. For each campus, select 6 - 9 outdoor public space cases, with a total of 60 - 90 cases, and conduct research and on-site measurements on the spatial forms;

[0057] 1.2) Use the spatial annotation method assisted by video positioning technology to obtain spatio-temporal positioning data of the spatial forms. Extract, measure and organize the basic materials and data of the spatial forms of the selected outdoor public space cases. Organize the basic materials and data of the case spatial forms, including floor plans of building layouts, landscape structures and spatial organizations, functional zoning maps, landscape structure maps, entrance and exit locations, etc., as well as elevation drawings of surrounding buildings of the site, site section drawings, and physical environment information related to vertical interfaces, site subgrade surfaces and physical environments;

[0058] 1.3) Use the map marking method, on-site counting method, interview method, and high-position video recording and photo shooting method. Through the recorders installed in advance at the research and observation points, every hour within the specified observation time of a day for the campus public space cases, conduct 5-minute statistics on the number, characteristics, and activity types of users in the space, and continuously record the data; through image recognition technology with video images as the data source, extract and process the obtained video data and then draw a vitality map;

[0059] 1.5) Use SPASS software to systematically process and analyze the research and measurement data, and use GIS to construct a morphological and vitality information database for the outdoor public spaces on university campuses.

[0060] Conduct quantitative research on the outdoor public spaces on university campuses:

[0061] 2.1) According to the key index system of the outdoor public space forms on university campuses, conduct systematic analysis and quantitative research on the form data in the morphological and vitality information database of the outdoor public spaces on university campuses in the Nanjing area;

[0062] 2.2) According to the key index system of the outdoor public space vitality on university campuses, conduct systematic analysis and quantitative research on the vitality data in the morphological and vitality information database of the outdoor public spaces on university campuses in the Nanjing area;

[0063] On-site measurement and analysis of human perception data at the human scale:

[0064] 3.1) On-site measurement of human perception data in the campus outdoor public space, including physical environment data and human perception data; systematically measure the physiological and psychological perception data parameters of the subjects in the space with the help of an eye tracker, electroencephalograph and galvanic skin response meter;

[0065] 3.2) Quantitatively analyze the measured data of human perception in the outdoor public space of the campus, and combine the subjective research results of the subjects obtained through questionnaires on physical perception, spatial perception, and perception influencing factors to study the relationship between them and spatial form and vitality through a combination of qualitative and quantitative research to reflect the feelings of the subjects after being affected by spatial form elements. Furthermore, deeply analyze the underlying reasons for the spatial form elements that cause such feelings in the subjects, as well as the potential impact of the subjects' usage feelings on spatial vitality;

[0066] Construction of a dynamic model among spatial form - human perception - spatial vitality:

[0067] 4.1) Construction of a dynamic model among spatial form - human perception - spatial vitality. Utilize the database, based on data mining technologies such as random forest, clarify the key influencing parameters, and establish a dynamic model based on the XGBoost machine learning algorithm, thereby deeply studying the internal relationships among the research data and establishing a dynamic model;

[0068] 4.2) Research on the correlation mechanism between form and vitality. Use principal component analysis for dimensionality reduction and FP - Growth algorithm for correlation analysis to study the influencing mechanism among them, use the XG Boost machine learning algorithm for modeling and quantitative analysis to study the feedback mechanism among them, and conduct an integrated study on the influencing mechanism and feedback mechanism to establish a correlation mechanism.

[0069] Based on the correlation mechanism between the outdoor public space form and vitality of the university campus, refine and propose optimization methods for the outdoor public space of the university campus;

[0070] 5.1) Optimize the overall outdoor public space system from the planning layout, form a complete three - level outdoor space system layout of campus / group / building, optimize and improve the corresponding indicators from the overall layout level and special form level, realize the optimization of the outdoor space form, and solve the problem of insufficient spatial vitality.

[0071] 5.2) With the help of numerical simulation software such as ENVI - MET, ECOTECT, CFD (FLUENT) as technical support, quantitatively simulate and analyze the physical environment parameters of the outdoor space of the optimization plan, so as to realize the dynamic feedback and adjustment and improvement of the optimization plan.

[0072] 5.3) Combining the analysis of the overall outdoor space system of the campus, selectively add infrastructure in the campus space, create resilient facilities in the campus space, and enhance the adaptability of the campus space.

[0073] In the description of this specification, the descriptions referring to terms such as "one embodiment", "example", "specific example", etc. mean that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0074] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and what is described in the above embodiments and the specification only illustrates the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed.

Claims

1. An optimization method for the outdoor public space on campus based on multi-modal spatio-temporal data, characterized in that, It includes the following steps: S1. Collect multi-modal spatio-temporal data of form and vitality, and establish a form and vitality information database. Specifically: S1.

1. Extract, measure and sort out the basic materials and data of the spatial form of outdoor public space cases; S1.

2. Continuously record the data, and extract and process the recorded data to draw a vitality map; S1.

3. Sort out the data and graphical information of the spatial form and vitality of outdoor space, systematically process and analyze the research and measured data using SPASS software, and use GIS to construct a database of the spatial form and vitality information of the outdoor public space on campus; S2. Conduct quantitative research and analysis on the outdoor public space on campus through the database according to the respective key index systems and data of form and vitality; S3. Conduct on-site measurement and analysis of the perception data at the human scale in the outdoor public space on campus. The on-site measurement includes physical environment data and human perception data, and the analysis is to construct a dynamic model by combining physical perception, spatial perception and the research results of perception influencing factors; S4. Construct a dynamic model among the spatial form - human perception - spatial vitality of the outdoor public space on campus, and obtain the correlation mechanism between the spatial form and spatial vitality. Specifically: S4.

1. Use random forest data mining for data matching and XG Boost machine learning algorithm for modeling to reveal the respective key index systems, core influencing factors and their mutual relationships of spatial form and vitality, and establish a dynamic model; S4.

2. Use the principal component analysis method for dimensionality reduction and the FP-Growth algorithm for correlation analysis to obtain the influencing mechanism among them, use the XG Boost machine learning algorithm for modeling and quantitative analysis to obtain the feedback mechanism among them, and conduct an integrated analysis of the influencing mechanism and feedback mechanism to establish a correlation mechanism; S5. Optimize the overall outdoor public space system from the planning layout, and add infrastructure in the campus space. Specifically: S5.

1. Optimize the overall outdoor public space system from the planning layout, optimize and improve the corresponding indicators from the overall layout level and special form level to achieve the optimization of the outdoor space form; S5.

2. With the help of ENVI-MET, ECOTECT or CFD numerical simulation software as technical support, conduct quantitative simulation analysis on the physical environment parameters of the outdoor space of the optimization plan to achieve the dynamic feedback and adjustment and improvement of the optimization plan; S5.

3. Combine the analysis of the overall outdoor space system on campus and add infrastructure in the campus space.

2. The optimization method for the outdoor public space on a university campus based on multi-modal spatio-temporal data according to claim 1, characterized in that The recorded data is the spatial form positioning data obtained by using the spatial annotation method assisted by video positioning technology.

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