CN117494284B - Environment design method and system based on green ecology - Google Patents
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Abstract
The invention discloses an environment design method and system based on green ecology, wherein the method comprises the following steps: environmental assessment, natural resource protection, automatic layout of environmental design, environmental design interactions, and community participation. The invention belongs to the technical field of environmental engineering, in particular to an environment design method and system based on green ecology, which adopts environment design to automatically layout, formulates an optimal layout strategy, reduces the time and labor cost of manual design, updates the weight and bias parameters of a neural network by using an environment feedback model, and adjusts and optimizes according to real-time environment changes; by adopting environment design modeling, dynamic visual analysis, sight analysis and cost analysis are carried out, virtual reality interaction experience is carried out by using a progressive mode, the interactivity of environment experience is enhanced, the design cost is reduced, the user participation is improved, and more visual and immersive experience is obtained.
Description
Technical Field
The invention belongs to the technical field of environmental engineering, and particularly relates to an environment design method and system based on green ecology.
Background
The environment design is a design method for optimizing and improving the living and working environment of human beings by utilizing building, landscape and city planning means, and aims to create a living, human-friendly and sustainable environment by integrating elements of natural and artificial environments so as to provide a space suitable for living and development of human beings. However, the existing environment design method has the technical problems that the manual model adjustment process is complex and challenging during environment design modeling, a great deal of labor and time are required, and the layout algorithms of some existing tree diagrams and flowcharts cannot meet the layout requirements of model diagrams; there is traditional environment design often static, lacks with user's interaction and experience, and the design cost is higher, leads to there to be certain disjoint between design and the in-service use demand, influences the technical problem of user's perception and experience to the environment.
Disclosure of Invention
Aiming at the technical problems that the manual model adjustment process is complex and challenging when environment design modeling exists, a great deal of labor force and time cost are required, the layout algorithms of some existing tree diagrams and flow charts cannot meet the layout requirements of the model diagrams, the environment design is adopted for automatic layout, the optimal layout strategy is formulated, the manual design time and labor cost are reduced, and the environment feedback model is utilized for adjustment and optimization according to real-time environment change; aiming at the technical problems that the traditional environment design is always static, interaction and experience with users are lacked, design cost is high, a certain disjoint exists between the design and actual use demands, and perception and experience of the users to the environment are affected, environment design modeling is adopted, interactivity of environment experience is enhanced, design cost is reduced, user participation is improved, and more visual and immersed experience is obtained.
The technical scheme adopted by the invention is as follows: the invention provides an environment design method based on green ecology, which comprises the following steps:
step S1: evaluating the environment;
Step S2: natural resource protection;
step S3: the method comprises the steps of automatically laying out environmental design, collecting information to determine a layout standard, analyzing environmental characteristics and designating a layout strategy, updating the weight and bias parameters of a neural network by using the automatic layout as an environmental feedback model of a current action function, obtaining an automatic layout scheme and evaluating the automatic layout scheme;
Step S4: the environment design interaction, the environment design modeling, the dynamic visual analysis, the sight analysis and the cost analysis are carried out, and the virtual reality interaction experience is carried out by adopting a progressive mode;
step S5: community participation.
Further, in step S1, the environmental assessment includes the steps of:
step S11: task determination, namely defining the target, range, requirement and limiting condition of environment evaluation;
step S12: the method comprises the steps of surveying an environmental baseline, and collecting relevant environmental data of an area where an environmental design project is located;
Step S13: and (3) predicting environmental impact, namely predicting the impact of environmental design projects on land utilization, ecosystems, resource utilization and environmental quality through impact path analysis, ecological risk assessment, hydrologic model and meteorological model.
Further, in step S2, the natural resource protection, specifically, the protection of natural resources to the maximum in the environment design process, includes the use of renewable energy, the selection of environmental protection materials, and green land protection.
Further, in step S3, the automatic layout of the environmental design includes the following steps:
Step S31: collecting basic information of the environment design, including the size, shape and functional requirements of the environment design;
step S32: determining an environmental design layout standard, and determining the environmental design layout standard by referring to public place design specifications, building safety specifications and people stream management standards and combining the environmental design basic information;
step S33: analyzing environmental characteristics, deeply understanding and evaluating the environment, and analyzing the existing facilities, structural characteristics, decoration styles and environmental atmosphere;
step S34: an automatic layout scheme is formulated, which comprises the following steps:
Step S341: the automatic layout function is calculated using the following formula:
;
Where s is the environmental state, pi () is the automatic layout function, θ is the weight and bias parameters of the neural network, a is the action function, P t is the probability of the output action, and t is the trajectory sequence in the Markov decision chain process;
Step S342: and updating the weight and bias parameters of the neural network by using the automatic layout as an environment feedback model of the current action function, wherein the formula is as follows:
;
Wherein T 0 is the initialized output of the environment feedback model, T is the output of the environment feedback model, delta is the learning rate, and theta' is the weight and bias parameters of the updated neural network;
step S343: an automatic layout function is formulated for each environmental design element, each environmental design element is sequentially arranged, the action with the highest estimated value is selected according to a greedy strategy, the position coordinates, the rotation angles and the proportion of each environmental design element are output, the optimal layout is completed, and an automatic layout scheme is obtained;
step S35: an automatic layout evaluation comprising the steps of:
step S351: evaluating the time-consuming situation, the time spent by automatic layout is an important criterion for measuring the level of automation;
Step S352: evaluating circulation conditions, wherein practical automatic layout is required to meet the circulation of the whole environment design and the accessibility of all schemes, in particular, a backtracking method is used for finding a path from an environment inlet to each environment design;
Step S353: and evaluating the function realization condition, wherein each environment design is provided with a core design according to the function attribute, and the effectiveness of automatic layout is measured according to the core design.
Further, in step S4, the environment design interaction includes the steps of:
step S41: performing environmental design modeling;
step S42: dynamic visual analysis, determining the height and display position of an environmental design, planning and laying out to build a comfortable urban living environment, comprising the following steps:
Step S421: a plane view, wherein the mobility and the activity of people in different areas are obtained through dynamic visual analysis, so that the height and the position of the environment design are determined;
Step S422: a longitudinal view, analyzing the influence of the facade design and layout of the environment on the visual perception of people through dynamic visual analysis;
Step S423: the concave visual field is used for analyzing the effect of arranging concave structures at different positions through dynamic visual analysis, so that the proper position and shape of environmental design are determined;
Step S43: line of sight analysis, namely simulating the visual field of human eyes, performing line of sight analysis, and determining the view range and the visibility of view elements when the environment is observed at a specific position;
step S44: cost analysis, which is a basic method for cost distance calculation, integrates each factor into a unified evaluation system after normalization, performs superposition evaluation, and has more cost hierarchical structures and more paths to be selected, and is favorable for avoiding ecologically sensitive areas, optimizing paths and avoiding areas with large inclination angles and dense contour lines by adjusting environment design route selection through cost management, so that optimal environment design interaction experience is achieved, and the method comprises the following steps:
step S441: the cost distance is calculated using the following formula:
;
in the formula, xi is the cost distance, b is the actual value of the interactive experience of the environment design, c is the optimal value of the interactive experience of the environment design, and d is the worst value of the interactive experience of the environment design;
Step S442: normalization, mapping the cost distance of each cost factor to between 0 and 1, using the following formula:
;
Where ε is a normalized value of the cost distance, ζ max is a maximum value of the cost distance, and ζ min is a minimum value of the cost distance;
step S443: and performing superposition evaluation, namely performing superposition evaluation on all the normalized values of the cost factors, performing weight distribution according to specific requirements to obtain comprehensive achievements, and performing environment design interaction according to the comprehensive achievements, wherein the following formula is adopted:
E=w1×ε1+w2×ε2+……+wn×εn;
Wherein E is the comprehensive result obtained by carrying out superposition evaluation on the cost factors, n is the total number of the cost factors, w n represents the weight of the nth cost factor, and epsilon n represents the normalized value of the nth cost factor;
Step S45: virtual reality interaction experience is carried out by using a progressive mode, the progressive mode is combined with an embedded mode and an expansion mode, the embedded mode is used for applying high-tech interaction equipment to environment design, a digital holographic image and a sensor are embedded into an environment morphological structure, the real space characteristics of the environment are reserved, the whole morphological attribute of the environment is not changed, the presentation form of environment modeling is enriched, the expansion mode improves the linearity and space constraint of a traditional environment, and the traditional environment style is strongly supplemented and improved.
Further, in step S5, the community participates, including the steps of:
Step S51: community investigation and demand analysis, namely, understanding population, economy, culture and environment of communities, collecting demands and opinions of residents on the environment, and determining places needing improvement;
Step S52: community propaganda, which is to convey significance and importance of participation to community residents, and manners and opportunities of participation in environmental design, propaganda is carried out by utilizing community broadcasting, propaganda columns and social media, and participation of residents is encouraged and feedback is provided;
step S53: planning and designing, namely, according to opinion and feedback of community residents, setting and adjusting an environment design scheme in consideration of actual conditions, resource limitation and feasibility of communities;
step S54: and (3) implementing and monitoring, namely organizing implementation work and monitoring the progress and effect of projects according to a final environment design scheme, and periodically communicating and exchanging with community residents to solve problems and improve measures in time.
The invention provides an environment design system based on green ecology, which comprises an environment assessment module, a natural resource protection module, an environment design automatic layout module, an environment design interaction module and a community participation module;
The environment evaluation module is used for performing system evaluation on the environment influence of the environment design project, and comprises analyzing land utilization, an ecological system, resource utilization and environment quality of the region where the project is located;
the natural resource protection module considers the maximum protection of natural resources in the environment design process, and comprises the steps of using renewable energy sources, selecting environment-friendly materials and protecting greenbelts;
The environment design automatic layout module specifically comprises a collected information determining layout standard, an environment characteristic analyzing and layout strategy specifying, and an automatic layout scheme is obtained and evaluated by updating the weight and bias parameters of the neural network by using the automatic layout as an environment feedback model of a current action function;
The environment design interaction module is used for carrying out environment design modeling, dynamic visual analysis, sight analysis and cost analysis, and carrying out virtual reality interaction experience by adopting a progressive mode;
The community participation module is used for carrying out community investigation and demand analysis, carrying out green ecological environment design propaganda in communities, encouraging residents to provide feedback, and planning.
The beneficial results obtained by adopting the scheme of the invention are as follows:
(1) Aiming at the technical problems that the manual model adjustment process is complex and challenging when the environment design modeling exists, a great amount of labor force and time cost are required, and the layout requirements of the model diagrams cannot be met by some existing tree diagrams and flow diagram layout algorithms, the environment design is adopted for automatic layout, the optimal layout strategy is formulated, the manual design time and labor cost are reduced, and the environment feedback model is utilized for adjustment and optimization according to real-time environment changes;
(2) Aiming at the technical problems that the traditional environment design is always static, interaction and experience with users are lacked, design cost is high, a certain disjoint exists between the design and actual use demands, and perception and experience of the users to the environment are affected, environment design modeling is adopted, interactivity of environment experience is enhanced, design cost is reduced, user participation is improved, and more visual and immersed experience is obtained.
Drawings
FIG. 1 is a schematic flow chart of an environment design method based on green ecology;
FIG. 2 is a schematic diagram of an environmental design system based on green ecology provided by the invention;
FIG. 3 is a flow chart of step S3;
Fig. 4 is a flow chart of step S4.
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention; all other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be understood that the terms "upper," "lower," "front," "rear," "left," "right," "top," "bottom," "inner," "outer," and the like indicate orientation or positional relationships based on those shown in the drawings, merely to facilitate description of the invention and simplify the description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be construed as limiting the invention.
Referring to fig. 1, the invention provides an environment design method based on green ecology, which comprises the following steps:
step S1: evaluating the environment;
Step S2: natural resource protection;
step S3: the method comprises the steps of automatically laying out environmental design, collecting information to determine a layout standard, analyzing environmental characteristics and designating a layout strategy, updating the weight and bias parameters of a neural network by using the automatic layout as an environmental feedback model of a current action function, obtaining an automatic layout scheme and evaluating the automatic layout scheme;
Step S4: the environment design interaction, the environment design modeling, the dynamic visual analysis, the sight analysis and the cost analysis are carried out, and the virtual reality interaction experience is carried out by adopting a progressive mode;
step S5: community participation.
In a second embodiment, referring to fig. 1, the environment evaluation in step S1, which is based on the above embodiment, includes the following steps:
step S11: task determination, namely defining the target, range, requirement and limiting condition of environment evaluation;
step S12: the method comprises the steps of environmental baseline investigation, collecting relevant environmental data of an area where an environmental design project is located, including land utilization status, ecological system characteristics, resource utilization conditions and environmental quality;
Step S13: environmental impact prediction, predicting the impact of an item on land utilization, ecosystem, resource utilization and environmental quality by impact path analysis, ecological risk assessment, hydrologic model and meteorological model.
Embodiment three, referring to fig. 1, the embodiment is based on the above embodiment, and in step S2, the natural resource protection, specifically, the protection of the natural resource to the maximum in the environment design process, includes using renewable energy, selecting environment-friendly materials and protecting greenfield.
Fourth embodiment, referring to fig. 1 and 3, the embodiment is based on the above embodiment, and in step S3, the automatic layout of the environmental design includes the following steps:
Step S31: collecting basic information of the environment design, including the size, shape and functional requirements of the environment design;
step S32: determining an environmental design layout standard, and determining the environmental design layout standard by referring to public place design specifications, building safety specifications and people stream management standards and combining the environmental design basic information;
step S33: analyzing environmental characteristics, deeply understanding and evaluating the environment, and analyzing the existing facilities, structural characteristics, decoration styles and environmental atmosphere;
step S34: an automatic layout scheme is formulated, which comprises the following steps:
Step S341: the automatic layout function is calculated using the following formula:
;
Where s is the environmental state, pi () is the automatic layout function, θ is the weight and bias parameters of the neural network, a is the action function, P t is the probability of the output action, and t is the trajectory sequence in the Markov decision chain process;
Step S342: and updating the weight and bias parameters of the neural network by using the automatic layout as an environment feedback model of the current action function, wherein the formula is as follows:
;
Wherein T 0 is the initialized output of the environment feedback model, T is the output of the environment feedback model, delta is the learning rate, and theta' is the weight and bias parameters of the updated neural network;
step S343: an automatic layout function is formulated for each environmental design element, each environmental design element is sequentially arranged, the action with the highest estimated value is selected according to a greedy strategy, the position coordinates, the rotation angles and the proportion of each environmental design element are output, the optimal layout is completed, and an automatic layout scheme is obtained;
step S35: an automatic layout evaluation comprising the steps of:
step S351: evaluating the time-consuming situation, the time spent by automatic layout is an important criterion for measuring the level of automation;
Step S352: evaluating circulation conditions, wherein practical automatic layout is required to meet the circulation of the whole environment design and the accessibility of all schemes, in particular, a backtracking method is used for finding a path from an environment inlet to each environment design;
Step S353: and evaluating the function realization condition, wherein each environment design is provided with a core design according to the function attribute, and the effectiveness of automatic layout is measured according to the core design.
By executing the above operations, the automatic layout of the environmental design is adopted, the optimal layout strategy is formulated, the manual design time and labor cost are reduced, the environmental feedback model is utilized to adjust and optimize according to the real-time environmental change, the technical problems that the manual model adjustment process is complex and challenging during the modeling of the environmental design, a large amount of labor force and time cost are required, and the layout algorithm of some existing tree diagrams and flowcharts cannot meet the layout requirements of the model diagrams are solved.
Fifth embodiment referring to fig. 1 and 4, the environment design interaction in step S4 includes the following steps:
step S41: performing environmental design modeling;
step S42: dynamic visual analysis, determining the height and display position of an environmental design, planning and laying out to build a comfortable urban living environment, comprising the following steps:
Step S421: the mobility and activity of people in different areas are obtained through dynamic visual analysis in a plan view, so that the height and position of an environment design are determined, for example, in urban living environment, the layout of a high-rise building is considered to avoid blocking the irradiation of sunlight, and ventilation and lighting of a space are ensured;
Step S422: in a longitudinal view, the influence of the elevation design and layout of the environment on the visual perception of people is analyzed through dynamic visual analysis, for example, in urban living environment, buildings with staggered heights are reasonably arranged, and the layering sense and aesthetic feeling of space are increased;
Step S423: the concave view is used for analyzing the effect of arranging concave structures at different positions through dynamic visual analysis, so that the proper position and shape of environment design are determined, for example, the concave structures are arranged in parks or squares in urban living environments, and a wider view and view appreciation opportunity are provided;
Step S43: line of sight analysis, namely simulating the visual field of human eyes, performing line of sight analysis, and determining the view range and the visibility of view elements when the environment is observed at a specific position;
step S44: cost analysis, which is a basic method for cost distance calculation, integrates each factor into a unified evaluation system after normalization, performs superposition evaluation, and has more cost hierarchical structures and more paths to be selected, and is favorable for avoiding ecologically sensitive areas, optimizing paths and avoiding areas with large inclination angles and dense contour lines by adjusting environment design route selection through cost management, so that optimal environment design interaction experience is achieved, and the method comprises the following steps:
step S441: the cost distance is calculated using the following formula:
;
in the formula, xi is the cost distance, b is the actual value of the interactive experience of the environment design, c is the optimal value of the interactive experience of the environment design, and d is the worst value of the interactive experience of the environment design;
Step S442: normalization, mapping the cost distance of each cost factor to between 0 and 1, using the following formula:
;
Where ε is a normalized value of the cost distance, ζ max is a maximum value of the cost distance, and ζ min is a minimum value of the cost distance;
step S443: and performing superposition evaluation, namely performing superposition evaluation on all the normalized values of the cost factors, performing weight distribution according to specific requirements to obtain comprehensive achievements, and performing environment design interaction according to the comprehensive achievements, wherein the following formula is adopted:
E=w1×ε1+w2×ε2+……+wn×εn;
Wherein E is the comprehensive result obtained by carrying out superposition evaluation on the cost factors, n is the total number of the cost factors, w n represents the weight of the nth cost factor, and epsilon n represents the normalized value of the nth cost factor;
Step S45: virtual reality interaction experience is carried out by using a progressive mode, the progressive mode is combined with an embedded mode and an expansion mode, the embedded mode is used for applying high-tech interaction equipment to environment design, a digital holographic image and a sensor are embedded into an environment morphological structure, the real space characteristics of the environment are reserved, the whole morphological attribute of the environment is not changed, the presentation form of environment modeling is enriched, the expansion mode improves the linearity and space constraint of a traditional environment, and the traditional environment style is strongly supplemented and improved.
Through carrying out above-mentioned operation, adopt environmental design modeling, the interactivity of reinforcing environmental experience reduces the design cost, improves user engagement, obtains more directly perceived, immersed experience, has solved traditional environmental design often static, lacks with user's interaction and experience, and the design cost is higher, leads to there to certain disjoint between design and the in-service use demand, influences the technical problem of user's perception and experience to the environment.
Embodiment six, referring to fig. 1, the embodiment is based on the above embodiment, and in step S5, the community participation includes the following steps:
Step S51: community investigation and demand analysis, namely, understanding population, economy, culture and environment of communities, collecting demands and opinions of residents on the environment, and determining places needing improvement;
Step S52: community propaganda, which is to convey significance and importance of participation to community residents, and manners and opportunities of participation in environmental design, propaganda is carried out by utilizing community broadcasting, propaganda columns and social media, and participation of residents is encouraged and feedback is provided;
step S53: planning and designing, namely, according to opinion and feedback of community residents, setting and adjusting an environment design scheme in consideration of actual conditions, resource limitation and feasibility of communities;
step S54: and (3) implementing and monitoring, namely organizing implementation work and monitoring the progress and effect of projects according to a final environment design scheme, and periodically communicating and exchanging with community residents to solve problems and improve measures in time.
An embodiment seven, referring to fig. 2, based on the above embodiment, the environment design system based on green ecology provided by the invention includes an environment assessment module, a natural resource protection module, an environment design automatic layout module, an environment design interaction module and a community participation module;
The environment evaluation module is used for performing system evaluation on the environment influence of the environment design project, and comprises analyzing land utilization, an ecological system, resource utilization and environment quality of the region where the project is located;
the natural resource protection module considers the maximum protection of natural resources in the environment design process, and comprises the steps of using renewable energy sources, selecting environment-friendly materials and protecting greenbelts;
The environment design automatic layout module specifically comprises a collected information determining layout standard, an environment characteristic analyzing and layout strategy specifying, and an automatic layout scheme is obtained and evaluated by updating the weight and bias parameters of the neural network by using the automatic layout as an environment feedback model of a current action function;
The environment design interaction module is used for carrying out environment design modeling, dynamic visual analysis, sight analysis and cost analysis, and carrying out virtual reality interaction experience by adopting a progressive mode;
The community participation module is used for carrying out community investigation and demand analysis, carrying out green ecological environment design propaganda in communities, encouraging residents to provide feedback, and planning.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
The invention and its embodiments have been described above with no limitation, and the actual construction is not limited to the embodiments of the invention as shown in the drawings. In summary, if one of ordinary skill in the art is informed by this disclosure, a structural manner and an embodiment similar to the technical solution should not be creatively devised without departing from the gist of the present invention.
Claims (6)
1. The environment design method based on green ecology is characterized in that: the method comprises the following steps:
step S1: evaluating the environment;
Step S2: natural resource protection;
step S3: the method comprises the steps of automatically laying out environmental design, collecting information to determine a layout standard, analyzing environmental characteristics and designating a layout strategy, updating the weight and bias parameters of a neural network by using the automatic layout as an environmental feedback model of a current action function, obtaining an automatic layout scheme and evaluating the automatic layout scheme;
Step S4: the environment design interaction, the environment design modeling, the dynamic visual analysis, the sight analysis and the cost analysis are carried out, and the virtual reality interaction experience is carried out by adopting a progressive mode;
Step S5: community participation;
in step S3, the automatic layout of the environmental design includes the following steps:
Step S31: collecting basic information of the environment design, including the size, shape and functional requirements of the environment design;
step S32: determining an environmental design layout standard, and determining the environmental design layout standard by referring to public place design specifications, building safety specifications and people stream management standards and combining the environmental design basic information;
step S33: analyzing environmental characteristics, deeply understanding and evaluating the environment, and analyzing the existing facilities, structural characteristics, decoration styles and environmental atmosphere;
step S34: an automatic layout scheme is formulated, which comprises the following steps:
Step S341: the automatic layout function is calculated using the following formula:
Where s is the environmental state, pi (as- θ) is the automatic layout function, θ is the weight and bias parameters of the neural network, a is the action function, P t is the probability of the output action, and t is the trajectory sequence in the Markov decision chain process;
Step S342: and updating the weight and bias parameters of the neural network by using the automatic layout as an environment feedback model of the current action function, wherein the formula is as follows:
Wherein T 0 is the initialized output of the environment feedback model, T is the output of the environment feedback model, delta is the learning rate, and theta' is the weight and bias parameters of the updated neural network;
step S343: an automatic layout function is formulated for each environmental design element, each environmental design element is sequentially arranged, the action with the highest estimated value is selected according to a greedy strategy, the position coordinates, the rotation angles and the proportion of each environmental design element are output, the optimal layout is completed, and an automatic layout scheme is obtained;
step S35: an automatic layout evaluation comprising the steps of:
step S351: evaluating the time-consuming situation, the time spent by automatic layout is an important criterion for measuring the level of automation;
Step S352: evaluating circulation conditions, and finding a path from an environment inlet to each environment design by using a backtracking method;
Step S353: evaluating the function realization condition, wherein each environment design has a core design according to the function attribute, and the effectiveness of automatic layout is measured according to the core design;
in step S4, the environment design interaction includes the steps of:
step S41: performing environmental design modeling;
step S42: dynamic visual analysis, comprising the steps of:
Step S421: a plane view, wherein the mobility and the activity of people in different areas are obtained through dynamic visual analysis, so that the height and the position of the environment design are determined;
Step S422: a longitudinal view, analyzing the influence of the facade design and layout of the environment on the visual perception of people through dynamic visual analysis;
Step S423: the concave visual field is used for analyzing the effect of arranging concave structures at different positions through dynamic visual analysis, so that the proper position and shape of environmental design are determined;
Step S43: line of sight analysis, namely simulating the visual field of human eyes, performing line of sight analysis, and determining the view range and the visibility of view elements when the environment is observed at a specific position;
step S44: cost analysis, calculating a cost distance, integrating each cost factor into a unified evaluation system after normalizing, performing superposition evaluation, and adjusting environment design route selection through cost management to achieve optimal environment design interaction experience, wherein the method comprises the following steps of:
step S441: the cost distance is calculated using the following formula:
in the formula, xi is the cost distance, b is the actual value of the interactive experience of the environment design, c is the optimal value of the interactive experience of the environment design, and d is the worst value of the interactive experience of the environment design;
Step S442: normalization, mapping the cost distance of each cost factor to between 0 and 1, using the following formula:
Where ε is a normalized value of the cost distance, ζ max is a maximum value of the cost distance, and ζ min is a minimum value of the cost distance;
step S443: and performing superposition evaluation, namely performing superposition evaluation on all the normalized values of the cost factors, performing weight distribution according to specific requirements to obtain comprehensive achievements, and performing environment design interaction according to the comprehensive achievements, wherein the following formula is adopted:
E=w1×ε1+w2×ε2+……+wn×εn;
Wherein E is the comprehensive result obtained by carrying out superposition evaluation on the cost factors, n is the total number of the cost factors, w n represents the weight of the nth cost factor, and epsilon n represents the normalized value of the nth cost factor;
Step S45: virtual reality interaction experience is performed by using a progressive mode, and the progressive mode is combined with an embedded mode and an expansion mode.
2. The green ecological based environmental design method of claim 1, wherein: in step S1, the environmental assessment includes the steps of:
step S11: task determination, namely defining the target, range, requirement and limiting condition of environment evaluation;
step S12: the method comprises the steps of surveying an environmental baseline, and collecting relevant environmental data of an area where an environmental design project is located;
Step S13: and (3) predicting environmental impact, namely predicting the impact of environmental design projects on land utilization, ecosystems, resource utilization and environmental quality through impact path analysis, ecological risk assessment, hydrologic model and meteorological model.
3. The green ecological based environmental design method of claim 1, wherein: in step S2, the natural resource protection, specifically, the protection of natural resources to the maximum extent in the environmental design process, includes using renewable energy, selecting environment-friendly materials and protecting greenfield.
4. The green ecological based environmental design method of claim 1, wherein: in step S5, the community participation includes the steps of:
Step S51: community investigation and demand analysis, namely, understanding population, economy, culture and environment of communities, collecting demands and opinions of residents on the environment, and determining places needing improvement;
Step S52: community propaganda, which is to convey significance and importance of participation to community residents, and manners and opportunities of participation in environmental design, propaganda is carried out by utilizing community broadcasting, propaganda columns and social media, and participation of residents is encouraged and feedback is provided;
step S53: planning and designing, namely, according to opinion and feedback of community residents, setting and adjusting an environment design scheme in consideration of actual conditions, resource limitation and feasibility of communities;
step S54: and (3) implementing and monitoring, namely organizing implementation work and monitoring the progress and effect of projects according to a final environment design scheme, and periodically communicating and exchanging with community residents to solve problems and improve measures in time.
5. A green ecology-based environmental design system for implementing a green ecology-based environmental design method as recited in any one of claims 1-4, wherein: the system comprises an environment assessment module, a natural resource protection module, an environment design automatic layout module, an environment design interaction module and a community participation module.
6. The green ecological based environmental design system of claim 5, wherein: the environment evaluation module is used for performing system evaluation on the environment influence of the environment design project, and comprises analyzing land utilization, an ecological system, resource utilization and environment quality of the region where the project is located;
the natural resource protection module considers the maximum protection of natural resources in the environment design process, and comprises the steps of using renewable energy sources, selecting environment-friendly materials and protecting greenbelts;
The environment design automatic layout module specifically comprises a collected information determining layout standard, an environment characteristic analyzing and layout strategy specifying, and an automatic layout scheme is obtained and evaluated by updating the weight and bias parameters of the neural network by using the automatic layout as an environment feedback model of a current action function;
The environment design interaction module is used for carrying out environment design modeling, dynamic visual analysis, sight analysis and cost analysis, and carrying out virtual reality interaction experience by adopting a progressive mode;
The community participation module is used for carrying out community investigation and demand analysis, carrying out green ecological environment design propaganda in communities, encouraging residents to provide feedback, and planning.
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Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111090899A (en) * | 2019-11-07 | 2020-05-01 | 郑州大学 | Spatial layout design method for urban building |
CN112099627A (en) * | 2020-09-04 | 2020-12-18 | 东南大学 | City design virtual reality instant interaction platform based on artificial intelligence |
CN112733246A (en) * | 2021-01-22 | 2021-04-30 | 上海建工四建集团有限公司 | Automatic building design method, device, terminal, storage medium and processor |
CN114357563A (en) * | 2021-12-02 | 2022-04-15 | 华南理工大学 | Layout generation method and application of south-of-the-river private garden landscape |
CN115795638A (en) * | 2023-02-13 | 2023-03-14 | 北京建筑大学 | Residential area layout optimization design method, system and storage medium |
CN116385701A (en) * | 2023-03-22 | 2023-07-04 | 苏州苏大万维规划设计有限公司 | Virtual living environment building platform based on intelligent interaction |
CN116401736A (en) * | 2023-03-02 | 2023-07-07 | 东南大学 | Urban green space automatic layout method based on artificial intelligence |
CN116823578A (en) * | 2023-07-17 | 2023-09-29 | 鲁友燕 | Intelligent city planning system and method based on big data analysis |
CN116992546A (en) * | 2023-09-14 | 2023-11-03 | 唐童 | Building design scheme optimizing system based on artificial intelligence |
CN117034404A (en) * | 2023-07-10 | 2023-11-10 | 杭州市电力设计院有限公司 | Three-dimensional transformer substation design method and system based on interactive autonomous intelligence |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050075921A1 (en) * | 2003-10-03 | 2005-04-07 | Frederick Hayes-Roth | Open community model for exchanging information in dynamic environments |
US20220108043A1 (en) * | 2021-10-14 | 2022-04-07 | Shenzhen Xkool Technology Co., Ltd. | Method and device for automatically generating residential building plan |
-
2023
- 2023-11-28 CN CN202311598448.3A patent/CN117494284B/en active Active
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111090899A (en) * | 2019-11-07 | 2020-05-01 | 郑州大学 | Spatial layout design method for urban building |
CN112099627A (en) * | 2020-09-04 | 2020-12-18 | 东南大学 | City design virtual reality instant interaction platform based on artificial intelligence |
CN112733246A (en) * | 2021-01-22 | 2021-04-30 | 上海建工四建集团有限公司 | Automatic building design method, device, terminal, storage medium and processor |
CN114357563A (en) * | 2021-12-02 | 2022-04-15 | 华南理工大学 | Layout generation method and application of south-of-the-river private garden landscape |
CN115795638A (en) * | 2023-02-13 | 2023-03-14 | 北京建筑大学 | Residential area layout optimization design method, system and storage medium |
CN116401736A (en) * | 2023-03-02 | 2023-07-07 | 东南大学 | Urban green space automatic layout method based on artificial intelligence |
CN116385701A (en) * | 2023-03-22 | 2023-07-04 | 苏州苏大万维规划设计有限公司 | Virtual living environment building platform based on intelligent interaction |
CN117034404A (en) * | 2023-07-10 | 2023-11-10 | 杭州市电力设计院有限公司 | Three-dimensional transformer substation design method and system based on interactive autonomous intelligence |
CN116823578A (en) * | 2023-07-17 | 2023-09-29 | 鲁友燕 | Intelligent city planning system and method based on big data analysis |
CN116992546A (en) * | 2023-09-14 | 2023-11-03 | 唐童 | Building design scheme optimizing system based on artificial intelligence |
Non-Patent Citations (2)
Title |
---|
一种三维建筑单管路自动布局方法设计;王长涛;王哲;高治军;孙亮亮;朱毅;;沈阳建筑大学学报(自然科学版);20180115(01);121-127 * |
住区布局多目标自动寻优的模拟方法;袁磊;李冰瑶;;深圳大学学报(理工版);20180125(01);82-88 * |
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