Physical environment rapid simulation, regulation and control method and system based on urban green plants

Abstract

The invention discloses a physical environment rapid simulation, regulation and control method and system based on urban green plants, and the method comprises the steps: constructing an urban geometrical morphology database through the geometrical morphology characteristics of infrastructures of a target city, and extracting the functional characteristics of green plants from the urban geometrical morphology database to construct an urban green plant functional characteristic database; setting multiple sets of urban green plant optimization design schemes according to the urban green plant function characteristic database; constructing an urban physical boundary model based on the urban geometric morphology database, and generating a basic calculation grid through grid division; compiling a momentum source and an energy source of the green plant, and implanting the momentum source and the energy source into the computational grid to complete rapid simulation; and calculating the multi-dimensional energy efficiency of each simulation result to obtain a multi-dimensional energy efficiency calculation result under various green plant functional characteristics, carrying out green plant comprehensive efficiency evaluation, and taking the design scheme corresponding to the maximum value of the green plant comprehensive efficiency as an optimal scheme. According to the method, the urban physical environment calculation cost and time are greatly reduced, and the green plant optimization design and physical environment regulation and control efficiency is remarkably improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of physical environment simulation and regulation, and in particular relates to a method and system for rapid simulation and regulation of a physical environment based on urban green plants. Background Art

[0002] In the context of accelerated urbanization, the scale and density of buildings are gradually increasing, which has also brought about a series of physical environmental problems (such as heat island effect and air pollution), which not only pose a huge threat to people's lives and health, but also cause a rapid increase in energy resource consumption and carbon emissions. Therefore, it is urgent to take effective mitigation measures to deal with the current urban physical environment problems.

[0003] As a natural element to alleviate physical environmental problems, urban green plants can reduce the surrounding air temperature through transpiration and shading. They also have the ability to absorb pollutants and release oxygen, providing great potential for improving environmental quality, saving energy and reducing carbon emissions. However, the rapid development of urbanization has made land resources increasingly scarce, and the growth of urban green plant coverage has been restricted. Therefore, it is urgent to optimize the design of urban green plants within limited land resources to maximize the control of the urban physical environment.

[0004] In the existing green plant optimization design and physical environment regulation, most technical personnel in this field focus on the aesthetic design of green plants, or only consider their local regulatory effects on the thermal environment / air pollution, and often ignore the comprehensive regulatory effectiveness of urban green plants on the overall physical environment, which can easily lead to an unfavorable situation of "losing one thing while focusing on another".

[0005] In addition, technicians in this field usually use methods such as computational fluid dynamics to simulate the physical environment around green plants under various design schemes (including geometric modeling, meshing and numerical simulation), and determine the optimal design scheme by comparing the physical environment results, so as to improve the environmental control effect. However, during the simulation process, it is necessary to repeatedly model and mesh the geometric models of green plants under different design schemes, which significantly increases the calculation time and cost, is not conducive to the rapid implementation of the green plant optimization design scheme, and increases the difficulty of overall physical environment control.

[0006] Therefore, it is urgent to propose a rapid simulation method of the physical environment based on urban green plants to determine the optimal design scheme of green plants with the minimum computational cost, and then build a comprehensive physical environment control system to give full play to the potential of urban green plant control and effectively improve the urban physical environment. Summary of the invention

[0007] The purpose of the present invention is to provide a method and system for rapid simulation and control of the physical environment based on urban green plants, so as to solve the problems of low comprehensive efficiency, high calculation cost and great control difficulty in the process of urban green plant optimization design and environmental control.

[0008] In order to solve the above technical problems, the present invention is implemented through the following technical solutions: A method for rapid simulation and control of a physical environment based on urban green plants, comprising: S100, obtaining geometric morphological characteristics of infrastructure of a target city, and constructing a city geometric morphological database based on the characteristics; then extracting functional characteristics of green plants from the city geometric morphological database, and constructing a city green plant functional characteristics database based on the characteristics; S200, by parsing the urban green plant functional characteristics database, presetting the green plant functional characteristics of the target city, and setting multiple sets of urban green plant optimization design schemes for the target city based on the functional characteristics of the urban green plants; S300, based on the urban geometry database, construct an urban physical boundary model, and identify heat sources and pollution sources inside the urban physical boundary; then perform unstructured grid division on the urban physical boundary model, and adaptively generate a basic computing grid (only the basic grid needs to be constructed, and there is no need to divide the grid for each design solution, thereby achieving the purpose of reducing computing and storage costs); S400, based on the basic computing grid, setting the boundary conditions of the city's physical boundary and internal heat sources and pollution sources, compiling the momentum source term and energy source term of the green plants; then implanting the momentum source term and energy source term of the green plants into the computing grid, completing the rapid simulation of the urban physical environment under multiple schemes, and obtaining the simulation results of each design scheme; S500, perform multi-dimensional energy efficiency calculation on each of the simulation results to obtain multi-dimensional energy efficiency calculation results under various green plant functional characteristics; then use the green plant comprehensive efficiency evaluation algorithm to perform green plant comprehensive efficiency evaluation on each of the multi-dimensional efficiency calculation results to determine the maximum value of the green plant comprehensive efficiency, and use the corresponding urban green plant optimization design plan as the optimal design plan.

[0009] Furthermore, the geometric characteristics of the infrastructure are collected by satellite remote sensing technology, including but not limited to the building density, building height, building layout, road length, road width, road location, traffic volume, traffic vehicle types and green plants of the target city.

[0010] Furthermore, the functional characteristics of the green plants include but are not limited to the green plant locations, green plant types, green plant areas, and green plant layouts stored in the urban geometry database.

[0011] Furthermore, the momentum source term and energy source term of the green plant include an inertial loss term, a turbulent kinetic energy additional term, a turbulent dissipation additional term and a cooling volume rate.

[0012] Furthermore, the multi-dimensional performance includes but is not limited to thermal environment, air pollution, building energy consumption, building carbon emissions, carbon sequestration, and economic costs.

[0013] Furthermore, a Pareto optimization algorithm may be used to implement a comprehensive green plant performance evaluation on each of the multi-dimensional performance calculation results.

[0014] Furthermore, after determining the best urban green plant optimization design scheme, the rapid simulation results of the target city's physical environment before and after the urban green plant optimization design and its corresponding comprehensive green plant performance are compared and displayed in a visual way for users to view and refer to.

[0015] A system using the above-mentioned physical environment rapid simulation and control method based on urban green plants at least includes an urban feature extraction module, a physical environment rapid simulation module, a green plant comprehensive efficiency evaluation module and a simulation result and comprehensive efficiency display module; wherein, The working content of the city feature extraction module includes: Responsible for obtaining the infrastructure geometric characteristics of the target city, including building density, building height, building layout, road length, road width, road location, traffic volume, traffic vehicle type and green plants, and constructing an urban geometric database based on this; Responsible for extracting the functional characteristics of green plants including the location, type, area and layout of green plants from the constructed urban geometric morphology database, and constructing a database of the functional characteristics of urban green plants based on this; The work contents of the physical environment rapid simulation module include: Responsible for constructing the city physical boundary model based on the constructed urban geometric database using the model construction method, identifying the heat sources and pollution sources inside the urban physical boundary, and using the grid division algorithm to perform unstructured grid division on the constructed urban physical boundary model to adaptively generate the basic computational grid; Responsible for analyzing the constructed urban green plant functional characteristics database, and setting multiple sets of urban green plant optimization design plans for target cities by presetting the functional characteristics of green plants in target cities; Responsible for setting the boundary conditions of the city's physical boundaries and internal heat sources and pollution sources based on the basic computing grid, using the green plant momentum source term and energy source term compilation algorithm, and compiling the green plant momentum source term and energy source term including inertial loss term, turbulent kinetic energy additional term, turbulent dissipation additional term and cooling volume rate; Responsible for embedding the compiled momentum source term and energy source term of green plants into the generated computational grid, realizing rapid simulation of the urban physical environment under multiple schemes, and obtaining the simulation results of each design scheme; The work content of the green plant comprehensive performance evaluation module includes: Responsible for performing multi-dimensional energy efficiency calculations on each simulation result, including thermal environment, air pollution, building energy consumption, building carbon emissions, carbon sequestration, and economic costs, and obtaining multi-dimensional energy efficiency calculation results under various green plant functional characteristics; Responsible for using the Pareto optimization algorithm to evaluate the comprehensive performance of green plants for each multi-dimensional performance calculation result, so as to determine the maximum comprehensive performance of green plants and use the corresponding urban green plant optimization design plan as the optimal design plan; The working contents of the simulation results and comprehensive performance display module include: Responsible for comparing and displaying the rapid simulation results of the target city's physical environment and its corresponding comprehensive performance of green plants before and after the optimization design of urban green plants in a visual way for users to view and refer to.

[0016] A computer device includes: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus, and the memory is used to store at least one executable instruction, wherein the executable instruction enables the processor to execute operations corresponding to the above-mentioned method for rapid simulation and control of a physical environment based on urban green plants.

[0017] A computer-readable storage medium stores at least one executable instruction, wherein the executable instruction enables a processor to execute operations corresponding to the above-mentioned method for rapid simulation and control of a physical environment based on urban green plants.

[0018] The beneficial effects of the present invention are: 1. Compared with traditional environmental simulation methods, the physical environment rapid simulation method proposed in the present invention eliminates the two steps of model construction and grid division of the real geometric shape of green plants, greatly reduces the cost and time of urban physical environment calculation, and significantly improves the efficiency of green plant optimization design and physical environment regulation.

[0019] 2. The physical environment comprehensive control system proposed in the present invention not only takes into account the complex morphological characteristics of urban infrastructure (buildings, roads, and transportation), but also conducts a comprehensive assessment of the multi-dimensional performance of thermal environment, air pollution, building energy consumption, building carbon emissions, carbon fixation, and economy. It can provide the optimal design plan for green plants adapted to local conditions based on the differentiated morphological characteristics of any urban area, give full play to the comprehensive performance of urban green plants in regulating the physical environment, has universal significance, and can be widely used in the optimization design of urban green plants and the improvement of the urban physical environment.

[0020] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the invention and implement it according to the contents of the specification, the following is a detailed description of the preferred embodiments of the present invention in conjunction with the accompanying drawings. The specific implementation of the present invention is given in detail by the following embodiments and their accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings: Figure 1 It is a logic diagram of the physical environment rapid simulation and control method based on urban green plants of the present invention.

[0022] Figure 2 It is a schematic diagram of the method for rapid simulation and regulation of the physical environment of urban green plants according to the present invention.

[0023] Figure 3 This is a system block diagram of the physical environment rapid simulation and control system based on urban green plants of the present invention.

[0024] Figure 4 It is a schematic diagram of the geometric model and grid division of a certain urban community in an embodiment of the present invention.

[0025] Figure 5 This is a diagram showing the rapid simulation results of an environment of a certain urban community in an embodiment of the present invention.

[0026] Figure 6 It is a community green plant efficiency evaluation curve diagram of the rapid environmental simulation result of a certain urban community in an embodiment of the present invention. DETAILED DESCRIPTION

[0027] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings so that the purpose, features and advantages of the invention can be more clearly understood. It should be understood that the embodiments shown in the accompanying drawings are not intended to limit the scope of the present invention, but are only intended to illustrate the essential spirit of the technical solution of the present invention.

[0028] In the following description, certain specific details are set forth for the purpose of illustrating various disclosed embodiments to provide a thorough understanding of the various disclosed embodiments. However, those skilled in the relevant art will recognize that the embodiments may be practiced without one or more of these specific details. In other cases, well-known devices, structures, and techniques associated with the present application may not be shown or described in detail to avoid unnecessarily obscuring the description of the embodiments.

[0029] Unless the context requires otherwise, throughout the specification and claims, the word "comprise" and variations such as "include" and "have" should be construed in an open, inclusive sense, ie, should be interpreted as "including, but not limited to."

[0030] References throughout the specification to "one embodiment" or "an embodiment" indicate that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. Thus, the appearances of "in one embodiment" or "in an embodiment" in various places throughout the specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any manner in one or more embodiments.

[0031] As used in this specification and the appended claims, the singular forms "a," "an," and "the" include plural referents unless the context clearly dictates otherwise. It should be noted that the term "or" is generally employed in its sense including "and / or" unless the context clearly dictates otherwise.

[0032] In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0033] See also Figure 1-2 As shown, a method for rapid simulation and control of the physical environment based on urban green plants specifically includes the following steps: Step 1: Obtain the geometric features of the infrastructure of the target city and use them to build a city geometric database. The geometric characteristics of the infrastructure are collected through satellite remote sensing technology, and include the building density, building height, building layout, road length, road width, road location, traffic volume, traffic vehicle types and green plants of the target city.

[0034] Step 2: extracting green plant functional characteristics from the urban geometric database and constructing an urban green plant functional characteristics database based on the extracted green plant functional characteristics. The green plant functional characteristics include green plant locations, green plant types, green plant areas, green plant layouts, etc. stored in the urban geometry database.

[0035] Step 3: By analyzing the urban green plant functional characteristics database, preset the green plant functional characteristics of the target city, and use this to set multiple sets of urban green plant optimization design plans for the target city. The green plant functional characteristics include green plant locations, green plant types, green plant areas, green plant layouts, etc. stored in the urban geometry database.

[0036] For example, X sets of urban green plant optimization design plans can be generated, X=I×J×M×N (I types of green plant locations, J types of green plant types, M types of green plant areas, N types of green plant layouts).

[0037] Step 4: Based on the urban geometry database, a model building method is used to build an urban physical boundary model to identify heat sources and pollution sources within the urban physical boundary.

[0038] Step 5: Use a grid division algorithm to perform unstructured grid division on the urban physical boundary model, and adaptively generate a basic computing grid (only the basic grid needs to be constructed, and there is no need to divide the grid for each design solution, thereby achieving the purpose of reducing computing and storage costs).

[0039] Step 6: Based on the basic computational grid, set the boundary conditions of the city's physical boundaries and internal heat sources and pollution sources, and use the green plant momentum source term and energy source term compilation algorithm to compile the green plant momentum source term and energy source term, instead of directly building the urban green plant geometric model and dividing the grid. The momentum source term and energy source term of the green plant include an inertial loss term, a turbulent kinetic energy additional term, a turbulent dissipation additional term and a cooling volume rate.

[0040] The compilation formula of the inertia loss term is as follows: (1); In formula (1), S mi represents the inertia loss term in the i direction; C d represents the blade drag coefficient; LAD stands for leaf area density; U i represents the speed in the i direction; Indicates the speed.

[0041] The compilation formula of the inertia loss term is as follows: (2); In formula (2), S k represents the additional term of turbulent kinetic energy; ρ represents the air density; C d represents the blade drag coefficient; LAD stands for leaf area density; β p represents the average airflow kinetic energy loss coefficient; β d It represents the short-circuit coefficient of the blade vortex; Indicates the speed; k represents the turbulent kinetic energy; The compilation formula of the turbulent kinetic energy addition term is as follows: (3); In formula (3), S ε represents the additional term of turbulence dissipation; C drepresents the blade drag coefficient; LAD stands for leaf area density; ε represents the turbulent dissipation rate; is the Van Karman constant; β p represents the average airflow kinetic energy loss coefficient; β d It represents the short-circuit coefficient of the blade vortex; Indicates the speed; C1 represents the empirical coefficient 1; C2 represents the empirical coefficient 2; k represents the turbulent kinetic energy;

[0042] The compilation formula of the cooling volume rate is as follows: (4); In formula (4), P c Indicates cooling volume rate (W / m 3 ); V tree Represents the crown volume of a single tree (m 3 ); N trees Indicates the number of trees in a part of the area; S grass Indicates the area of ​​a part of the area (m 2 ); H tree represents the height of the tree crown (m); P tree represents the volumetric cooling rate of a single tree (W / m 3 ).

[0043] Step 7: implant the momentum source term and energy source term of the green plants into the computational grid, complete the rapid simulation of the urban physical environment under multiple schemes, and obtain the simulation results corresponding to each design scheme.

[0044] Step 8: Perform multi-dimensional energy efficiency calculation on each simulation result to obtain multi-dimensional energy efficiency calculation results under various green plant functional characteristics. The multi-dimensional performance includes thermal environment, air pollution, building energy consumption, building carbon emissions, carbon sequestration, economic costs, etc.

[0045] Step 9: Use the Pareto optimization algorithm to evaluate the comprehensive performance of green plants for each of the multi-dimensional performance calculation results, determine the maximum comprehensive performance of green plants, and use the corresponding urban green plant optimization design plan as the optimal design plan.

[0046] The comprehensive performance evaluation calculation formula is as follows: (5); Sample matrix calculation: (6); Dimensionless treatment: (7); Conflicting indicators: (8); Indicator information volume: (9); Indicator weight: (10); In formula (5) to formula (10), B ec It represents the comprehensive benefit evaluation index; W q represents the weight of the qth indicator; B' q represents the dimensionless value of the qth index; x' pq represents the p-th value of the q-th indicator, p = 1, 2 … m, q = 1, 2 … n; x minq Represents the minimum value of the qth column of the X matrix; x maxq Represents the maximum value of the qth column of the X matrix; R q Indicates the conflict between the qth indicator and other indicators; r qi represents the correlation coefficient; C q represents the amount of information of the qth indicator; S q Represents the standard deviation of the qth indicator.

[0047] Step 10: By means of visualization, the rapid simulation results of the physical environment of the target city before and after the optimization design of urban green plants and the corresponding comprehensive performance of green plants are compared and displayed for users to view and refer to, providing a scientific basis for the optimization design of urban green plants and the improvement of the physical environment.

[0048] See also Figure 3 As shown, the present invention also provides a system that adopts the above-mentioned physical environment rapid simulation and control method based on urban green plants, and the system at least includes an urban feature extraction module, a physical environment rapid simulation module, a green plant comprehensive efficiency evaluation module and a simulation result and comprehensive efficiency display module.

[0049] The working content of the city feature extraction module includes: Responsible for obtaining the infrastructure geometric characteristics of the target city, including building density, building height, building layout, road length, road width, road location, traffic volume, traffic vehicle type and green plants, and constructing an urban geometric database based on this; Responsible for extracting the functional characteristics of green plants including green plant location, green plant type, green plant area, and green plant layout from the constructed urban geometric morphology database, and using this to construct an urban green plant functional characteristics database.

[0050] The work contents of the physical environment rapid simulation module include: Responsible for constructing the city physical boundary model based on the constructed urban geometric database using the model construction method, identifying the heat sources and pollution sources inside the urban physical boundary, and using the grid division algorithm to perform unstructured grid division on the constructed urban physical boundary model to adaptively generate the basic computational grid; Responsible for analyzing the constructed urban green plant functional characteristics database (green plant location, green plant type, green plant area, green plant layout), and setting multiple sets of urban green plant optimization design plans for target cities by presetting the green plant functional characteristics of the target cities; Responsible for setting the boundary conditions of the city's physical boundaries and internal heat sources and pollution sources based on the basic computing grid, compiling algorithms using the green plant momentum source term and energy source term, and compiling the green plant momentum source term and energy source term; Responsible for embedding the compiled momentum source terms and energy source terms of green plants into the generated computational grid, realizing rapid simulation of the urban physical environment under multiple schemes, and obtaining simulation results for each design scheme.

[0051] The work content of the green plant comprehensive performance evaluation module includes: Responsible for performing multi-dimensional energy efficiency calculations on each simulation result, including thermal environment, air pollution, building energy consumption, building carbon emissions, carbon sequestration, and economic costs, and obtaining multi-dimensional energy efficiency calculation results under various green plant functional characteristics; Responsible for using the Pareto optimization algorithm to evaluate the comprehensive performance of green plants for each multi-dimensional performance calculation result, so as to determine the maximum comprehensive performance of green plants and take the corresponding urban green plant optimization design plan as the optimal design plan.

[0052] The working contents of the simulation results and comprehensive performance display module include: Responsible for comparing and displaying the rapid simulation results of the target city's physical environment and its corresponding comprehensive performance of green plants before and after the optimization design of urban green plants in a visual way, for users to view and refer to, and to provide a scientific basis for the optimization design of urban green plants and the improvement of the physical environment.

[0053] The simulation and control system of the present invention is based on a boundary input system in terms of architecture. After the initial calculation conditions of the physical environment of the target city are determined, the boundary input system is integrated with the physical boundary model and the calculation grid, and a boundary input system suitable for urban physical environment control is constructed through coding conversion.

[0054] Then, after setting a variety of green plant optimization design schemes, the green plant momentum source term, energy source term compilation algorithm and green plant comprehensive efficiency evaluation algorithm (Pareto optimization algorithm) are implanted on the basis of the constructed boundary input system, and the urban physical environment rapid simulation and green plant comprehensive efficiency evaluation under a variety of optimization design schemes are realized in turn, and the optimal design scheme of green plants is determined. Finally, a physical environment rapid simulation and control system based on urban green plants as described in the present invention is constructed.

[0055] Taking a certain urban community as an example, the following further describes how to optimize the green plant design scheme of the urban community using the method of the present invention. The specific implementation steps are as follows: 1) Use satellite remote sensing technology to obtain the geometric features of the community, such as the community's buildings, roads, and traffic, and then use these geometric features to build an urban geometric database for the community. Since the community has high and low buildings, it is a residential area with no green facilities inside and is far from the road, so the impact of its surroundings on the community is ignored during feature extraction.

[0056] 2) See Figure 4 As shown, based on the constructed urban geometric morphology database, the model building method is used to construct the urban physical boundary model for the community, and then the grid division algorithm is used to perform unstructured grid division on the urban physical boundary model, so as to adaptively generate a computational grid.

[0057] 3) Extract the functional characteristics of green plants from the constructed urban geometric morphology database, such as green plant location, green plant type, green plant area, green plant layout, etc., and then use these extracted green plant functional characteristics to build an urban green plant functional characteristics database for the community.

[0058] 4) By analyzing the constructed urban green plant functional characteristics database, the green plant functional characteristics of the community (green plant location, green plant type, green plant area, green plant layout) are set. For example, the green plant types in the community are preset as: roof greening, street trees and shelterbelts, and the green plant area is: 0-90% coverage area, and multiple sets of urban green plant optimization design plans for the community are set based on this.

[0059] 5) Based on the constructed urban green plant functional characteristics database, the momentum source term and energy source term compilation algorithm of green plants are used to compile the momentum source term and energy source term of green plants (including inertial loss term, turbulent kinetic energy additional term, turbulent dissipation additional term and cooling volume rate), instead of directly constructing the urban green plant geometric model and dividing the grid.

[0060] 6) See Figure 5 As shown, the compiled momentum source terms and energy source terms of green plants are implanted into the divided computational grid to achieve rapid simulation of the urban physical environment under multiple schemes, and obtain the simulation results corresponding to each design scheme.

[0061] 7) For each simulation result, multi-dimensional energy efficiency calculations including thermal environment, air pollution, building energy consumption, carbon emissions, carbon fixation, economy, etc. are performed to obtain multi-dimensional energy efficiency calculation results under various green plant functional characteristics.

[0062] 8) See Figure 6 As shown, the Pareto optimization algorithm is used to evaluate the comprehensive efficiency of green plants for each multi-dimensional efficiency calculation result, and the maximum comprehensive efficiency of green plants is determined. The corresponding urban green plant optimization design plan is used as the optimal design plan. For example, the optimal urban green plant optimization design plan for this community is "street trees + protective forests" + "coverage area of ​​90%."

[0063] 9) The simulation results and comprehensive performance of green plants before optimization, as well as the simulation results and comprehensive performance of green plants of various schemes, are compared and displayed on the display in a visual way for users to view and refer to, providing a scientific basis for the community’s urban green plant optimization design and physical environment improvement.

[0064] The present invention also provides a computer device, comprising: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other through the communication bus, and the memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform operations corresponding to the method for rapid simulation and control of the physical environment based on urban green plants as described in any one of claims 1-6.

[0065] The present invention also provides a computer-readable storage medium, characterized in that at least one executable instruction is stored in the computer storage medium, and the executable instruction enables the processor to perform operations corresponding to the method for rapid simulation and control of the physical environment based on urban green plants as described in any one of claims 1-6.

[0066] Determine the initial calculation conditions of the physical environment of the target city, integrate them with the physical boundary model of the city and the calculation grid, and then construct a boundary input system suitable for urban physical environment regulation through coding conversion; the green plant momentum source term and energy source term compilation algorithms are respectively implanted in the boundary input system; The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for rapid simulation and control of the physical environment based on urban green plants, characterized in that: include: S100, obtaining geometric features of infrastructure in the target city, and constructing a city geometric database based on the features; Then, extracting green plant functional characteristics from the urban geometric database, and constructing an urban green plant functional characteristics database based on the extracted green plant functional characteristics; S200, by parsing the urban green plant functional characteristics database, presetting the green plant functional characteristics of the target city, and setting multiple sets of urban green plant optimization design schemes for the target city based on the functional characteristics of the urban green plants; S300, constructing a city physical boundary model based on the city geometry database, and identifying heat sources and pollution sources inside the city physical boundary; then performing unstructured grid division on the city physical boundary model, and adaptively generating a basic computational grid; S400, based on the basic computing grid, setting the boundary conditions of the city's physical boundary and internal heat sources and pollution sources, and compiling the momentum source term and energy source term of the green plants; Then, the momentum source term and energy source term of the green plants are implanted into the computational grid to complete the rapid simulation of the urban physical environment under multiple schemes, and obtain the simulation results of each design scheme; S500, perform multi-dimensional energy efficiency calculation on each of the simulation results to obtain multi-dimensional energy efficiency calculation results under various green plant functional characteristics; then perform green plant comprehensive efficiency evaluation on each of the multi-dimensional efficiency calculation results to determine the maximum comprehensive efficiency of the green plants, and use the corresponding urban green plant optimization design plan as the optimal design plan.

2. The method for rapid simulation and control of the physical environment based on urban green plants according to claim 1 is characterized in that: The geometric characteristics of the infrastructure are collected by satellite remote sensing technology, including but not limited to the building density, building height, building layout, road length, road width, road location, traffic volume, traffic vehicle types and green plants of the target city.

3. The method for rapid simulation and control of the physical environment based on urban green plants according to claim 1 is characterized in that: The green plant functional characteristics include, but are not limited to, green plant locations, green plant types, green plant areas, and green plant layouts stored in the urban geometry database.

4. The method for rapid simulation and control of the physical environment based on urban green plants according to claim 1 is characterized in that: The momentum source term and energy source term of the green plant include an inertial loss term, a turbulent kinetic energy additional term, a turbulent dissipation additional term and a cooling volume rate.

5. The method for rapid simulation and control of the physical environment based on urban green plants according to claim 1 is characterized in that: The multi-dimensional performance includes but is not limited to thermal environment, air pollution, building energy consumption, building carbon emissions, carbon sequestration, and economic costs.

6. The method for rapid simulation and control of the physical environment based on urban green plants according to claim 1 is characterized in that: The Pareto optimization algorithm is used to implement the comprehensive performance evaluation of the green plants for each of the multi-dimensional performance calculation results.

7. The method for rapid simulation and control of the physical environment based on urban green plants according to claim 1 is characterized in that: After determining the best urban green plant optimization design plan, the rapid simulation results of the target city's physical environment before and after the urban green plant optimization design and its corresponding comprehensive green plant performance are compared and displayed in a visual way for users to view and refer to.

8. A system using the method for rapid simulation and control of the physical environment based on urban green plants as described in any one of claims 1 to 7, characterized in that: It at least includes an urban feature extraction module, a physical environment rapid simulation module, a green plant comprehensive performance evaluation module, and a simulation result and comprehensive performance display module; among which, The working content of the city feature extraction module includes: Responsible for obtaining the infrastructure geometric characteristics of the target city, including building density, building height, building layout, road length, road width, road location, traffic volume, traffic vehicle type and green plants, and constructing an urban geometric database based on this; Responsible for extracting the functional characteristics of green plants including the location, type, area and layout of green plants from the constructed urban geometric morphology database, and constructing a database of the functional characteristics of urban green plants based on this; The work contents of the physical environment rapid simulation module include: Responsible for constructing the city physical boundary model based on the constructed urban geometric database using the model construction method, identifying the heat sources and pollution sources inside the urban physical boundary, and using the grid division algorithm to perform unstructured grid division on the constructed urban physical boundary model to adaptively generate the basic computational grid; Responsible for analyzing the constructed urban green plant functional characteristics database, and setting multiple sets of urban green plant optimization design plans for target cities by presetting the functional characteristics of green plants in target cities; Responsible for setting the boundary conditions of the city's physical boundaries and internal heat sources and pollution sources based on the basic computing grid, using the green plant momentum source term and energy source term compilation algorithm, and compiling the green plant momentum source term and energy source term including inertial loss term, turbulent kinetic energy additional term, turbulent dissipation additional term and cooling volume rate; Responsible for embedding the compiled momentum source term and energy source term of green plants into the generated computational grid, realizing rapid simulation of the urban physical environment under multiple schemes, and obtaining the simulation results of each design scheme; The work content of the green plant comprehensive performance evaluation module includes: Responsible for performing multi-dimensional energy efficiency calculations on each simulation result, including thermal environment, air pollution, building energy consumption, building carbon emissions, carbon sequestration, and economic costs, and obtaining multi-dimensional energy efficiency calculation results under various green plant functional characteristics; Responsible for using the Pareto optimization algorithm to evaluate the comprehensive performance of green plants for each multi-dimensional performance calculation result, so as to determine the maximum comprehensive performance of green plants and use the corresponding urban green plant optimization design plan as the optimal design plan; The working contents of the simulation results and comprehensive performance display module include: Responsible for comparing and displaying the rapid simulation results of the target city's physical environment and its corresponding comprehensive performance of green plants before and after the optimization design of urban green plants in a visual way for users to view and refer to.

9. A computer device, characterized in that: include: A processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus, and the memory is used to store at least one executable instruction, wherein the executable instruction enables the processor to perform operations corresponding to the method for rapid simulation and control of the physical environment based on urban green plants as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer storage medium stores at least one executable instruction, and the executable instruction enables the processor to perform operations corresponding to the method for rapid simulation and control of the physical environment based on urban green plants as described in any one of claims 1 to 7.

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