Environmental comfort assessment method, device and equipment integrated with wind-solar-thermal simulation technology

Abstract

The invention provides an environmental comfort assessment method, device and equipment integrated with a wind-solar-thermal simulation technology. The method comprises the following steps: acquiring geographic data and meteorological data of a simulation area; determining a wind environment simulation result of the simulation area based on the geographic data and the meteorological data; determining a light environment simulation result of the simulation area based on the sight shielding degree of the simulation area; determining a thermal environment simulation result of the simulation area based on the air temperature, the wind environment simulation result and the light environment simulation result of the simulation area; according to the wind environment simulation result, the thermal environment simulation result and the light environment simulation result, the environment comfort index of the simulation area is determined. According to the embodiment of the invention, comprehensive evaluation can be carried out on the comfort level of the human settlement environment from multiple aspects, and the evaluation accuracy and evaluation efficiency of the comfort level of the human settlement environment are greatly improved.

Description

Technical Field

[0001] The present disclosure relates to the field of data analysis technology, and in particular to an environmental comfort evaluation method, device and equipment integrating wind, solar and thermal simulation technology. Background Art

[0002] The comfort of the living environment is a key consideration in urban planning, architectural design, and public space management. With the acceleration of urbanization, people's requirements for the quality of the living environment are constantly increasing, and the method of determining the comfort of the living environment has become particularly important. Traditional evaluations of the comfort of the living environment mostly rely on questionnaires, field surveys, and other methods. These methods have problems such as low efficiency, strong subjectivity, and difficulty in data collection. In recent years, with the development of information technology, some new environmental comfort evaluation methods that integrate wind, solar, and thermal simulation technologies have emerged. These methods attempt to evaluate the comfort of the living environment in a more objective and efficient way by integrating multiple sensor data, meteorological data, geographic information system (GIS) data, etc.

[0003] However, the above-mentioned environmental comfort evaluation method integrating wind-solar thermal simulation technology has the following technical problems:

[0004] Limitations of data collection: Traditional methods have time and space limitations in data collection, making it difficult to achieve large-scale, continuous data collection.

[0005] Single evaluation indicator: The existing evaluation system often focuses on one aspect, such as temperature and humidity, air quality, etc., and lacks comprehensive consideration.

[0006] Lack of real-time performance: There is a lack of real-time monitoring and rapid response mechanisms, and the impact of environmental changes on comfort cannot be reflected in a timely manner.

[0007] Too subjective: Methods such as questionnaires are greatly affected by individual differences, making it difficult to form a unified comfort evaluation standard.

[0008] Therefore, there is an urgent need for an environmental comfort assessment method that integrates wind, solar and thermal simulation technologies to optimize the above technical problems. Summary of the invention

[0009] In view of this, the present disclosure proposes an environmental comfort assessment method, device and equipment that integrates wind, solar and thermal simulation technology to solve the problems of existing environmental comfort assessment methods, such as data collection limitations, single evaluation indicators, lack of real-time performance and excessive subjectivity.

[0010] The first embodiment of the present disclosure provides an environmental comfort evaluation method integrating wind-solar-thermal simulation technology, the method comprising:

[0011] Obtain geographic and meteorological data for the simulation area;

[0012] Determining a wind environment simulation result of the simulation area based on the geographic data and the meteorological data;

[0013] Determining a light environment simulation result of the simulation area based on the degree of line of sight obstruction of the simulation area;

[0014] Determining a thermal environment simulation result of the simulation area based on the temperature of the simulation area, the wind environment simulation result, and the light environment simulation result;

[0015] The environmental comfort index of the simulation area is determined based on the wind environment simulation result, the thermal environment simulation result and the light environment simulation result.

[0016] The embodiment of the present disclosure determines the environmental comfort index of the simulation area through the wind environment simulation results, the thermal environment simulation results and the light environment simulation results, and can comprehensively evaluate the comfort of the living environment from multiple aspects, greatly improving the evaluation accuracy and efficiency of the comfort of the living environment; and the evaluation method of the embodiment of the present disclosure does not rely on questionnaire surveys and the like when collecting data, which can make the evaluation of the comfort of the living environment objective and no longer overly subjective.

[0017] In an embodiment of the present disclosure, determining a wind environment simulation result of the simulation area based on the geographic data and the meteorological data includes:

[0018] Based on the geographic data and the meteorological data, constructing a three-dimensional model of the simulation area; the geographic data includes terrain data and building feature data; the meteorological data includes at least one of wind speed, wind direction, temperature and humidity;

[0019] Setting boundary conditions for the three-dimensional model, and dividing the three-dimensional model after setting the boundary conditions into a plurality of network units;

[0020] For any one of the plurality of network units, numerical calculation is performed on the network unit based on a numerical simulation algorithm of fluid mechanics to obtain flow information of the network unit;

[0021] Based on multiple flow information corresponding to the multiple network units, a wind environment simulation result of the simulation area is determined; the wind environment simulation result includes the distribution of at least one of the following wind environment parameters; the wind environment parameters include wind speed, wind direction and turbulence intensity.

[0022] In an embodiment of the present disclosure, determining the thermal environment simulation result of the simulation area based on the temperature of the simulation area, the wind environment simulation result, and the light environment simulation result includes:

[0023] Determining the air temperature and the radiation temperature of the simulation area;

[0024] The thermal environment simulation result is determined based on the air temperature, the radiation temperature, the wind environment simulation result, and the light environment simulation result.

[0025] In an embodiment of the present disclosure, determining the thermal environment simulation result based on the air temperature, the radiation temperature, the wind environment simulation result, and the light environment simulation result includes:

[0026] UTCI=T a +ΔT mrt +ΔT wind +ΔT rad

[0027] Among them, UTCI represents the thermal environment simulation result, T a represents the temperature, ΔT mrt represents the radiation temperature, ΔT wind Represents the wind environment simulation result, ΔT rad Represents the light environment simulation result.

[0028] In an embodiment of the present disclosure, determining a light environment simulation result of the simulation area based on the degree of line of sight obstruction of the simulation area includes:

[0029] For any one of the multiple positions in the simulation area, calculating the sky visibility factor of the position in each of the preset multiple simulation time ranges;

[0030] Determining the sunshine duration of each day at the location according to the sky visibility factor of the location in each simulation time range;

[0031] Based on the daily sunshine duration of the multiple locations, a light environment simulation result of the simulation area is generated.

[0032] In the embodiment of the present disclosure, determining the sunshine duration of the location every day according to the sky visibility factor of the location in each simulation time range includes:

[0033] For any one of the multiple simulation time ranges, if the sky visibility factor of the location in the simulation time range is greater than a preset threshold, it is determined that there is effective sunshine duration at the location in the simulation time range;

[0034] If the sky visibility factor of the location in the simulation time range is less than or equal to the preset threshold, determining that there is no effective sunshine duration at the location in the simulation time range;

[0035] The sum of the effective sunshine durations within the multiple simulation time ranges is taken as the sunshine duration of the location every day.

[0036] In the embodiment of the present disclosure, determining the environmental comfort index of the simulation area according to the wind environment simulation result, the thermal environment simulation result, and the light environment simulation result includes:

[0037] Based on the wind environment simulation result, the first weighting coefficient corresponding to the wind environment simulation result, the thermal environment simulation result, the second weighting coefficient corresponding to the thermal environment simulation result, the light environment simulation result, and the third weighting coefficient corresponding to the light environment simulation result, the environmental comfort index of the simulation area is calculated.

[0038] The embodiment of the second aspect of the present disclosure provides an environmental comfort evaluation device integrating wind, solar and thermal simulation technology, including:

[0039] A data acquisition module is used to obtain geographic data and meteorological data of the simulation area;

[0040] A wind environment simulation result determination module, used to determine the wind environment simulation result of the simulation area based on the geographic data and the meteorological data;

[0041] A light environment simulation result determination module, used to determine the light environment simulation result of the simulation area based on the degree of sight line occlusion of the simulation area;

[0042] A thermal environment simulation result determination module, used to determine the thermal environment simulation result of the simulation area based on the temperature of the simulation area, the wind environment simulation result and the light environment simulation result;

[0043] The environmental comfort index determination module is used to determine the environmental comfort index of the simulation area according to the wind environment simulation result, the thermal environment simulation result and the light environment simulation result.

[0044] An embodiment of the third aspect of the present disclosure provides a computer device, which includes a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the environmental comfort assessment method of the integrated wind-solar-thermal simulation technology described in the first aspect by executing the computer instructions.

[0045] An embodiment of the fourth aspect of the present disclosure provides a computer-readable storage medium having computer instructions stored thereon, wherein the computer instructions are used to enable a computer to execute the environmental comfort assessment method of the integrated wind-solar-thermal simulation technology described in the first aspect.

[0046] Additional aspects and advantages of the present disclosure will be given in part in the following description and in part will become apparent from the following description or be learned through practice of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] By reading the detailed description of the preferred embodiment below, various other advantages and benefits will become clear to those of ordinary skill in the art. The accompanying drawings are only used for the purpose of illustrating the preferred embodiment and are not considered to be limitations of the present disclosure. In addition, the same reference symbols are used to represent the same components throughout the accompanying drawings.

[0048] In the attached picture:

[0049] Figure 1 A flow chart of an environmental comfort evaluation method integrating wind, solar and thermal simulation technology provided by an embodiment of the present disclosure is shown;

[0050] Figure 2 A schematic diagram showing a wind environment simulation result provided by an embodiment of the present disclosure is shown;

[0051] Figure 3 A flow chart of another environmental comfort evaluation method integrating wind, solar and thermal simulation technology provided by an embodiment of the present disclosure is shown;

[0052] Figure 4 A flow chart of another environmental comfort evaluation method integrating wind, solar and thermal simulation technology provided by an embodiment of the present disclosure is shown;

[0053] Figure 5 A sunshine duration distribution diagram provided by an embodiment of the present disclosure is shown;

[0054] Figure 6 A flow chart of another environmental comfort evaluation method integrating wind, solar and thermal simulation technology provided by an embodiment of the present disclosure is shown;

[0055] Figure 7 A schematic diagram showing the distribution of a simulated regional environmental comfort index provided by an embodiment of the present disclosure is shown;

[0056] Figure 8 A schematic diagram of a platform data input interface provided by an embodiment of the present disclosure is shown;

[0057] Fig. 9 A schematic diagram of a multi-scheme comparison indicator interface provided by an embodiment of the present disclosure is shown;

[0058] Fig.10 A schematic diagram of the structure of an environmental comfort evaluation device integrating wind, solar and thermal simulation technology provided by an embodiment of the present disclosure is shown;

[0059] Fig.11 A schematic diagram of the structure of a computer device provided by an embodiment of the present disclosure is shown;

[0060] Fig.12 A schematic diagram of a storage medium provided by an embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0061] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0062] It should be noted that, unless otherwise specified, the technical terms or scientific terms used in the present disclosure should have the common meanings understood by those skilled in the art to which the present disclosure belongs.

[0063] According to an embodiment of the present disclosure, an embodiment of an environmental comfort assessment method integrating wind, solar and thermal simulation technologies is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0064] In this embodiment, an environmental comfort evaluation method integrating wind, solar and thermal simulation technology is provided. Figure 1 is a flow chart of an environmental comfort evaluation method of an integrated wind-solar-thermal simulation technology according to an embodiment of the present disclosure, such as Figure 1 As shown, the process includes the following steps:

[0065] Step S101, obtaining geographic data and meteorological data of a simulation area.

[0066] In this step, the simulation area can be specified according to the actual situation, and no specific limitation is made here, such as a certain park. Geographic data may include terrain data and building feature data, wherein the terrain data includes elevation information (such as the altitude of the ground), terrain undulations (such as the concave and convex changes of the terrain, including mountains, valleys, slopes, etc.), water body locations (such as the location and contours of rivers, lakes, oceans, etc.), and natural landforms (such as the characteristics of natural terrains such as forests, grasslands, and wetlands). Building feature data includes building plane data and building height data. More specifically, building feature data includes building height, building layout (such as the plane layout of buildings, including the distance and arrangement between buildings), building shape, building materials and reflectivity, and building direction (such as the orientation of the building, and the relative relationship with the wind direction may affect the wind field). Geographic data may also include land use types, such as: residential areas, commercial areas, industrial areas, agricultural areas, forest areas, water areas, transportation facilities, and public facilities. Meteorological data includes wind speed, wind direction, temperature, and humidity.

[0067] Step S102: determining a wind environment simulation result of the simulation area based on the geographic data and the meteorological data.

[0068] In this step, wind environment simulation technology can help architects and urban planners understand the differences in simulated wind environments caused by different building layouts, thereby optimizing planning and design solutions. A three-dimensional model of the simulation area can be constructed using the geographic data and the meteorological data, so that the wind environment simulation results of the simulation area can be determined based on the constructed three-dimensional model. Among them, the wind environment simulation results may include the distribution of at least one of the following wind environment parameters; the wind environment parameters include wind speed, wind direction, and turbulence intensity. The wind environment simulation results obtained can be used to evaluate the wind pressure distribution of the building, the impact of wind on the structure, and the comfort of the local microclimate, so as to assist in optimizing the planning and design solutions.

[0069] Specifically, Figure 2 Taking the wind environment simulation results of a certain park as an example, it can be seen that the range where the wind speed exceeds the pedestrian wind environment comfort threshold mainly occurs in a small area on the west and east sides of the block. The wind speed in the north-south building street canyons in the building complex is significantly higher than that in the east-west street canyons. The ventilation conditions of some east-west street canyons are poor, which is enough to cause the temperature in the street canyons to rise, the thermal comfort in summer is poor, and the pollutants in the street canyons cannot be dispersed.

[0070] In some specific embodiments, Figure 3 As shown, the above step S102 includes steps S1021 to S1024:

[0071] Step S1021, constructing a three-dimensional model of the simulation area based on the geographic data and the meteorological data.

[0072] Specifically, in the process of constructing a three-dimensional model of the simulation area based on the geographic data and meteorological data of the simulation area, the collected data can be first converted into a format suitable for three-dimensional modeling software (such as DXF, Shapefile or a special format for three-dimensional modeling); then the terrain data is used to generate a digital elevation model (DEM), and the details of the terrain (such as hills and valleys, etc.) are added to the DEM as needed to obtain a three-dimensional model 1; then, based on the location and outline information of the building, the base of the building is drawn on the basis of the three-dimensional model 1, and then the three-dimensional geometric shape of the building (such as details such as roofs, windows and balconies) is constructed to obtain a three-dimensional model 2; finally, according to the land use type of the simulation area, sub-models of various land use types are set on the basis of the three-dimensional model 2 (for example: adding vegetation models such as trees and grass in the corresponding land use areas, modeling water bodies such as rivers and lakes, and adding three-dimensional models of transportation facilities such as roads and railways) to obtain a three-dimensional model 3; the three-dimensional model 3 is used as the three-dimensional model of the simulation area.

[0073] More specifically, after obtaining the three-dimensional model 3, model refinement operations may be performed on the three-dimensional model 3, for example, adding texture maps to buildings and the ground to improve the realism of the model, or setting lighting conditions to simulate shadow effects in different time periods.

[0074] Step S1022: setting boundary conditions for the three-dimensional model, and dividing the three-dimensional model after setting the boundary conditions into a plurality of network units.

[0075] Specifically, the boundary conditions set for the three-dimensional model of the simulation area may include the inlet wind speed and direction (e.g., the wind speed magnitude and direction at the inlet boundary of the simulation area), the ground roughness parameter (affecting the flow characteristics of wind near the surface, which is related to the landform and cover type of the surface), and other meteorological parameters (e.g., temperature, humidity, etc., which also affect the simulation of the wind field). Since the boundary conditions define the external forces and constraints of the wind field simulation, their setting is crucial to the wind environment simulation results.

[0076] More specifically, after the boundary conditions are set, meshing is performed to transform the continuous fluid dynamics problem into a discrete numerical problem. This is because computers can only process discretized data. Boundary conditions provide the necessary physical constraints for the fluid behavior within the grid, while meshing provides the physical space basis for applying these boundary conditions. Meshing refers to dividing the simulation area into multiple, discrete grid cells that cover the entire simulation area, including terrain and buildings. Meshing methods generally include: Structured grid: The grid lines are arranged regularly, and the shape and size of each grid cell are the same or vary in a fixed pattern. Unstructured grid: The grid lines can be arranged arbitrarily, which is suitable for complex geometric shapes and provides greater flexibility.

[0077] Step S1023: For any one of the multiple network units, numerical calculation is performed on the network unit based on a numerical simulation algorithm of fluid mechanics to obtain flow information of the network unit.

[0078] Specifically, in the process of performing numerical calculations on network units to obtain flow information of network units, the lattice Boltamann method-based large-eddy simulation (LBM-LES) algorithm can be mainly used.

[0079] Among them, LBM uses a virtual microscopic distribution function containing a finite number of velocity modes to represent a collection of fluid particles, and simulates fluid motion through the collision and migration of the distribution function. The governing equation of LBM is the lattice Boltzmann equation, in which the key term is the collision operator. BGK (Bhatnager-Gross-Krook) is the most commonly used collision operator, which can obtain simulation results of sufficient accuracy in a simple form. The equation formula is as follows:

[0080]

[0081] f a is the distribution function in direction a; e a is the discrete velocity of fa in the direction a; r and t are f a Location vector and time; f a The equilibrium function of f a relaxation time.

[0082] The lattice Boltzmann equation describes the evolution of the distribution function of fluid particles over time at the microscopic level. Once the distribution function is determined, macroscopic physical quantities such as fluid velocity u, density ρ and pressure can be obtained by the following formula:

[0083]

[0084] Among them, e S is the lattice speed of sound, which in three-dimensional problems is The meanings of other parameters are the same as before.

[0085] In the face of high Reynolds numbers R e When dealing with turbulent flow problems, LBM-LES calculations can be performed based on LBM. According to LES theory, the total viscosity of the fluid is From molecular viscosity v and sub-grid viscosity v sgs At the same time, based on the LBM theory, the total viscosity of the fluid v t0t The relationship with the total relaxation time τtot is as shown in the following formula:

[0086] v tot =e s 2 (τ tot -0.5)

[0087] Based on the above formula, the total relaxation time τtot can be used to replace the relaxation time τ in formula (1) to carry out LBM-LES calculation. It is only necessary to adopt a suitable LES subgrid model to calculate the subgrid viscosity v sgs , you can start LBM-LES calculation.

[0088] Step S1024, based on multiple flow information corresponding to the multiple network units, determine the wind environment simulation result of the simulation area; the wind environment simulation result includes the distribution of at least one of the following wind environment parameters; the wind environment parameters include wind speed, wind direction and turbulence intensity.

[0089] Specifically, in the process of determining the wind environment simulation result of the simulation area based on the multiple flow information corresponding to the multiple network units, the following steps 1 to 8 are mainly included:

[0090] Step 1: Extract the flow information of all grid cells, including velocity, pressure, temperature, etc.

[0091] Step 2: Data preprocessing, which involves time averaging the flow information (for unsteady flows) to obtain average flow characteristics and remove outliers or inaccurate measurements.

[0092] Step 3: Analyze wind speed distribution. Analyze the average wind speed distribution of the entire simulation area and identify areas with higher and lower wind speeds. Determine the wind speed profile and analyze the wind speed changes at different heights or locations.

[0093] Step 4: Analyze wind patterns. Determine the dominant wind direction and analyze how it changes over time and space. Identify the impact of wind direction changes on specific areas (e.g., building surfaces, street intersections).

[0094] Step 5: Evaluate turbulence characteristics. Analyze turbulence intensity and turbulence length scales to assess the impact of turbulence on the wind environment. Identify possible eddy areas, such as the leeward sides of buildings and street corners.

[0095] Step 6: Evaluate wind pressure distribution. Analyze the wind pressure distribution on the building surface and evaluate wind loads. Identify possible negative pressure areas on the building surface and evaluate the impact on building performance.

[0096] Step 7: Assess microclimate comfort. Combine wind speed and temperature to assess pedestrian comfort. Identify areas of possible discomfort, such as areas with excessive wind speed or temperature.

[0097] Step 8: Visualize the results. Visualize the flow information through streamlines, vector fields, heat maps, etc. Generate intuitive graphics and animations to help interpret the simulation results.

[0098] Step S103: determining a light environment simulation result of the simulation area based on the degree of sight line blocking of the simulation area.

[0099] Specifically, light environment analysis can be used to simulate the sunshine duration distribution map of the outdoor environment of a given area through the Sky View Factor (SVF) to display the sunshine conditions at various locations in the area to assist planning and design. Among them, the Sky View Factor (SVF) is an indicator used to evaluate the degree to which the sky at a point is blocked by surrounding buildings or terrain. When simulating the sunshine duration distribution map of the outdoor environment of a building, SVF can be considered as an important parameter.

[0100] In some specific embodiments, Figure 4 As shown, the above step S103 includes steps a1 to a3:

[0101] Step a1: for any one of the multiple positions in the simulation area, calculate the sky visibility factor of the position in each of the preset multiple simulation time ranges.

[0102] Specifically, the location in the simulation area can be the outer surface of each building or a specific location on the street. The simulation time range can be understood as each hour, and each day includes 24 simulation time ranges. For each location, the sky view factor of the location in each hour can be calculated based on an SVF calculation tool (such as ArcGIS's "Sky View Factor" tool or a custom script).

[0103] Step a2, determining the daily sunshine duration of the location according to the sky visibility factor of the location in each simulation time range.

[0104] In the above steps a1 and a2, the sky view factor (SVF) is used to simulate the sunshine duration distribution map of the outdoor environment of the building in a given area to display the sunshine conditions at various locations in the area to assist planning and design. SVF is an indicator used to indicate the degree to which the sky at a given point is blocked by the surrounding environment. It is a dimensionless constant between 0 and 1. When SVF approaches 0, the degree to which the sky is blocked is higher. The calculation formula is as follows:

[0105]

[0106] Where Ω is the sky visual solid angle; y i is the influence of terrain altitude on azimuth i; n is the number of azimuths calculated (for example: n=36).

[0107] In some specific embodiments, the above step a2 includes steps a21 to a23:

[0108] Step a21, for any one of the multiple simulation time ranges, if the sky visibility factor of the location in the simulation time range is greater than a preset threshold, it is determined that there is effective sunshine duration at the location in the simulation time range.

[0109] Step a22: If the sky visibility factor of the location within the simulation time range is less than or equal to the preset threshold, it is determined that there is no effective sunshine duration at the location within the simulation time range.

[0110] Step a23, taking the sum of the effective sunshine durations within the multiple simulation time ranges as the sunshine duration of the location every day.

[0111] In the above steps a21 to a23, the preset threshold can be set according to the actual situation, and is not specifically limited here, for example, 0.2. When the sky visibility factor of a certain location in any simulation time range is greater than the preset threshold, it is considered that the location has effective sunshine duration in this simulation time range. For example: the sky visibility factor of street intersection A between 10 and 11 o'clock is 0.3, which is greater than the preset threshold 0.2, then it is considered that street intersection A has effective sunshine duration between 10 and 11 o'clock. In this way, the total number of effective sunshine durations for each location in 24 hours per day is calculated, and the total number is used as the sunshine duration of the location per day.

[0112] Step a3: generating a light environment simulation result of the simulation area based on the daily sunshine duration of the multiple locations.

[0113] Specifically, the light environment simulation result can be understood as a sunshine duration distribution map of the simulated area. After calculating the sunshine duration of each location in a day, they can be integrated together to obtain a sunshine duration distribution map of the simulated area, such as Figure 5 shown.

[0114] Step S104, determining the thermal environment simulation result of the simulation area based on the temperature of the simulation area, the wind environment simulation result and the light environment simulation result.

[0115] In some specific embodiments, Figure 6 As shown, the above step S104 includes step S1041-step S1042:

[0116] Step S1041, determining the air temperature and radiation temperature of the simulation area.

[0117] Specifically, the temperature of the simulation area can be determined by a weather station or remote sensing satellite. The radiation temperature usually refers to the temperature of the surface of the earth or an object, which can be determined by thermal infrared remote sensing technology.

[0118] Step S1042, determining the thermal environment simulation result based on the air temperature, the radiation temperature, the wind environment simulation result and the light environment simulation result.

[0119] Specifically, the results of thermal environment simulation can be understood as the perceived temperature, which refers to the air temperature felt by the human body, taking into account the impact of various meteorological factors on human perception, such as actual air temperature, relative humidity, wind speed, etc. The perceived temperature may be different from the actual ambient temperature because the way the human body perceives temperature is affected by a variety of environmental factors.

[0120] More specifically, the Universal Thermal Climate Index (UTCI) can be calculated using the following formula:

[0121] UTCI=T a +△T mrt +△T wind +ΔT rad

[0122] In the above formula, Ta represents the temperature (℃), ΔT mrt represents the radiation temperature, ΔTwind represents the wind environment simulation result, and ΔTrad represents the light environment simulation result.

[0123] Step S105 , determining the environmental comfort index of the simulation area according to the wind environment simulation result, the thermal environment simulation result and the light environment simulation result.

[0124] In this step, a corresponding first weighting coefficient may be preset for the wind environment simulation result, a corresponding second weighting coefficient may be preset for the thermal environment simulation result, and a corresponding third weighting coefficient may be preset for the light environment simulation result. The sum of the first weighting coefficient, the second weighting coefficient and the third weighting coefficient is 1.

[0125] In some specific embodiments, the environmental comfort index of the simulation area may be calculated based on the wind environment simulation result, the first weighting coefficient corresponding to the wind environment simulation result, the thermal environment simulation result, the second weighting coefficient corresponding to the thermal environment simulation result, the light environment simulation result, and the third weighting coefficient corresponding to the light environment simulation result. For example, as shown in the following formula:

[0126] a1*A+b1*B+c1*C=D

[0127] Among them, A represents the wind environment simulation result, a1 represents the first weighting coefficient corresponding to the wind environment simulation result, B represents the thermal environment simulation result, b1 represents the second weighting coefficient corresponding to the thermal environment simulation result, C represents the light environment simulation result, c1 represents the third weighting coefficient corresponding to the light environment simulation result, and D represents the environmental comfort index of the simulation area.

[0128] In some specific embodiments, the most livable target simulation area can be screened out from multiple simulation areas of the target city according to the environmental comfort index of each simulation area. For example, the simulation area with the highest environmental comfort index is selected as the target simulation area.

[0129] More specifically, Figure 7 From the distribution map of the environmental comfort index of a certain park, it can be seen that on the winter solstice, the outdoor thermal comfort is low in the shadow areas of buildings and building streets, and the outdoor thermal comfort is high in areas with more open building space combinations.

[0130] In the development of the integrated microenvironment simulation platform, the methods used also include:

[0131] Unified data base

[0132] Using the information on the location, form and attributes of national surface measurement control points, water systems, settlements and facilities, pipelines, administrative boundaries, landforms, vegetation, cadastral maps, place names, and natural and social elements provided by map service providers, a unified national basic geographic information data status base map is formed and input into the platform. The geographic coordinate system used here is EPSG:4326.

[0133] Integrated algorithm model construction

[0134] Due to the differences in storage and expression of 3D models in different formats, each commercial software platform can only support its own model data in a friendly manner. This patent mainly implements the simulation algorithm integration solution for the urban residential wind, solar and thermal microenvironment through three links.

[0135] Unified data input format

[0136] To achieve the same-platform calculation of wind, solar and thermal algorithms, the first key issue to be solved is to unify the input data format. Currently, mainstream software on the market supports many input model formats, such as .dwg, .obj, .shp, .skp, .3dm, etc. This patent unifies the input format of all spatial elements into vector data in .shp format, and stores them according to points, lines, and surfaces (polygons). The data layers that can be input into the platform include urban roads, land, buildings and sites, among which building data is assigned height through the height attribute field, and land data is classified through the land type field.

[0137] Algorithms integrated on the same platform

[0138] Then, based on the previous foundation, multiple algorithm modules were integrated into the platform, including road network density algorithm, land use mix algorithm, rail transit station residential employment coverage ratio algorithm, sky visibility algorithm, building staggered degree algorithm, sunshine duration algorithm, wind environment algorithm, microclimate comfort algorithm, maximum patch area index algorithm, patch density algorithm, habitat index algorithm, microclimate comfort algorithm. Among them, the focus is on the three indicators of wind environment, sunshine duration, and microclimate comfort, which correspond to wind, light, and thermal environment analysis respectively.

[0139] In some specific embodiments, the method further includes the system displaying the analysis results, as follows:

[0140] like Figure 8 As shown: In the platform data input interface, users can customize the scheme name, select the block type and block location, and upload data according to the requirements of the indicators they calculate. Here, only land use data can be used to calculate the land use mixing degree, maximum patch area index, and patch density index. Only building data can be used to calculate sky visibility and wind environment index. Road network and land use data can be used to calculate road network density and chronic road network density index. Station, land, and building data can be used to calculate the residential employment coverage index of rail transit stations. Building and land use data can be used to calculate the building staggered degree and habitat index. Building data and wind environment analysis results can be used to calculate the microclimate comfort index.

[0141] After the user builds an algorithm model in the analysis platform and inputs data in layers for calculation, the platform imports the data into the visualization front end and renders the analysis results. Users can import relevant data for analysis according to their needs. After the calculation is completed, the platform generates a visualization drawing of the system and a scoring table of architectural scheme indicators, and can compare indicator data for multiple different schemes at the same time, and form a systematic overall scheme score, which is convenient for users to compare and select different schemes. Fig. 9 shown.

[0142] Corresponding to the implementation of the above-mentioned environmental comfort evaluation method integrating wind, solar and thermal simulation technology, the present disclosure also provides an environmental comfort evaluation device integrating wind, solar and thermal simulation technology, which is used to implement the above-mentioned Figures 1 to 9 The environmental comfort evaluation method of the integrated wind-solar-thermal simulation technology described in any of the illustrated embodiments. Fig.10 As shown, the environmental comfort evaluation device integrating wind-solar-thermal simulation technology includes:

[0143] A data acquisition module is used to obtain geographic data and meteorological data of the simulation area;

[0144] A wind environment simulation result determination module, used to determine the wind environment simulation result of the simulation area based on the geographic data and the meteorological data;

[0145] A light environment simulation result determination module, used to determine the light environment simulation result of the simulation area based on the degree of sight line occlusion of the simulation area;

[0146] A thermal environment simulation result determination module, used to determine the thermal environment simulation result of the simulation area based on the temperature of the simulation area, the wind environment simulation result and the light environment simulation result;

[0147] The environmental comfort index determination module is used to determine the environmental comfort index of the simulation area according to the wind environment simulation result, the thermal environment simulation result and the light environment simulation result.

[0148] Optionally, the wind environment simulation result determination module is also used to: construct a three-dimensional model of the simulation area based on the geographic data and the meteorological data; the geographic data includes terrain data and building feature data; the meteorological data includes at least one of wind speed, wind direction, temperature and humidity; set boundary conditions for the three-dimensional model, and divide the three-dimensional model after setting the boundary conditions into multiple network units; for any one of the multiple network units, perform numerical calculations on the network unit based on a numerical simulation algorithm of fluid mechanics to obtain flow information of the network unit; based on multiple flow information corresponding to the multiple network units, determine the wind environment simulation result of the simulation area; the wind environment simulation result includes the distribution of at least one of the following wind environment parameters; the wind environment parameters include wind speed, wind direction and turbulence intensity.

[0149] Optionally, the thermal environment simulation result determination module is also used to: determine the air temperature and radiation temperature of the simulation area; and determine the thermal environment simulation result based on the air temperature, the radiation temperature, the wind environment simulation result, and the light environment simulation result.

[0150] Optionally, the light environment simulation result determination module is also used to: calculate, for any one of the multiple positions in the simulation area, the sky visibility factor of the position in each of the preset multiple simulation time ranges; determine the daily sunshine duration of the position based on the sky visibility factor of the position in each simulation time range; and generate the light environment simulation result of the simulation area based on the daily sunshine duration of the multiple positions.

[0151] Optionally, the light environment simulation result determination module is also used to: for any one of the multiple simulation time ranges, if the sky visibility factor of the location in the simulation time range is greater than a preset threshold, determine that the location has effective sunshine duration within the simulation time range; if the sky visibility factor of the location in the simulation time range is less than or equal to the preset threshold, determine that the location does not have effective sunshine duration within the simulation time range; and take the sum of the effective sunshine durations within the multiple simulation time ranges as the sunshine duration of each day at the location.

[0152] Preferably, the environmental comfort index determination module is also used to calculate the environmental comfort index of the simulation area based on the wind environment simulation result, the first weighting coefficient corresponding to the wind environment simulation result, the thermal environment simulation result, the second weighting coefficient corresponding to the thermal environment simulation result, the light environment simulation result, and the third weighting coefficient corresponding to the light environment simulation result.

[0153] The environmental comfort evaluation device of integrated wind, solar and thermal simulation technology provided in the above-mentioned embodiments of the present disclosure and the environmental comfort evaluation method of integrated wind, solar and thermal simulation technology provided in the embodiments of the present disclosure are based on the same inventive concept and have the same beneficial effects as the methods adopted, run or implemented by the applications stored therein.

[0154] The present disclosure also provides a computer device to execute the above-mentioned environmental comfort evaluation method integrating wind, solar and thermal simulation technology. Fig.11 , which shows a schematic diagram of a computer device provided by some embodiments of the present disclosure. Fig.11 As shown, the computer device 11 includes: a processor 1100, a memory 1101, a bus 1102 and a communication interface 1103, wherein the processor 1100, the communication interface 1103 and the memory 1101 are connected via the bus 1102; the memory 1101 stores a computer program that can be run on the processor 1100, and the processor 1100 executes the aforementioned Figures 1 to 9 An environmental comfort assessment method that integrates wind, solar and thermal simulation technology is provided in any of the illustrated embodiments.

[0155] The memory 1101 may include a high-speed random access memory (RAM), and may also include a non-volatile memory (non-volatile memory), such as at least one disk storage. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 1103 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used.

[0156] The bus 1102 may be an ISA bus, a PCI bus, or an EISA bus. The bus may be divided into an address bus, a data bus, a control bus, etc. The memory 1101 is used to store programs. After receiving the execution instruction, the processor 1100 executes the program. Figures 1 to 9 The environmental comfort assessment method of integrating wind, solar and thermal simulation technology disclosed in any of the illustrated embodiments may be applied to the processor 1100 or implemented by the processor 1100 .

[0157] The processor 1100 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit in the processor 1100 or the instruction in the form of software. The above processor 1100 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present disclosure can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor. The steps of the method disclosed in conjunction with the embodiments of the present disclosure can be directly embodied as a hardware decoding processor to be executed, or a combination of hardware and software modules in the decoding processor can be executed. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 1101, and the processor 1100 reads the information in the memory 1101 and completes the steps of the above method in combination with its hardware.

[0158] The computer device provided in the embodiment of the present disclosure and the environmental comfort assessment method of integrated wind, solar and thermal simulation technology provided in the embodiment of the present disclosure are based on the same inventive concept and have the same beneficial effects as the methods adopted, operated or implemented therein.

[0159] The present disclosure also provides a computer-readable storage medium corresponding to the environmental comfort evaluation method of the integrated wind-solar-thermal simulation technology provided in the above embodiment. Fig.12 The computer-readable storage medium shown is a CD 30, on which a computer program (i.e., a program product) is stored. When the computer program is run by the processor, it will execute the environmental comfort assessment method of the integrated wind-solar-thermal simulation technology provided by any of the aforementioned embodiments.

[0160] It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other optical or magnetic storage media, which are not listed here one by one.

[0161] The computer-readable storage medium provided in the above-mentioned embodiments of the present disclosure and the environmental comfort assessment method of integrated wind, solar and thermal simulation technology provided in the embodiments of the present disclosure are based on the same inventive concept and have the same beneficial effects as the methods adopted, run or implemented by the application programs stored therein.

[0162] It should be noted that:

[0163] In the description provided herein, a large number of specific details are described. However, it is understood that the embodiments of the present disclosure can be practiced without these specific details. In some instances, well-known structures and technologies are not shown in detail so as not to obscure the understanding of this description.

[0164] Similarly, it should be understood that in order to streamline the present disclosure and aid in understanding one or more of the various inventive aspects, in the above description of the exemplary embodiments of the present disclosure, the various features of the present disclosure are sometimes grouped together into a single embodiment, figure, or description thereof. However, this disclosed method should not be interpreted as reflecting that the claimed disclosure requires more features than those explicitly recited in each claim. More specifically, as reflected in the claims below, the inventive aspects lie in less than all the features of the individual embodiments disclosed above. Therefore, the claims that follow the specific embodiment are hereby expressly incorporated into the specific embodiment, with each claim itself serving as a separate embodiment of the present disclosure.

[0165] In addition, those skilled in the art will appreciate that, although some embodiments described herein include certain features included in other embodiments but not other features, the combination of features of different embodiments is meant to be within the scope of this disclosure and form different embodiments. For example, in the claims below, any one of the claimed embodiments may be used in any combination.

[0166] The above is only a preferred specific implementation of the present disclosure, but the protection scope of the present disclosure is not limited thereto. Any changes or substitutions that can be easily thought of by any technician familiar with the technical field within the technical scope disclosed in the present disclosure should be included in the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be based on the protection scope of the claims.

Claims

1. An environmental comfort evaluation method integrating wind, solar and thermal simulation technology, characterized in that: The method comprises: Obtain geographic and meteorological data for the simulation area; Determining a wind environment simulation result of the simulation area based on the geographic data and the meteorological data; Determining a light environment simulation result of the simulation area based on the degree of line of sight obstruction of the simulation area; Determining a thermal environment simulation result of the simulation area based on the temperature of the simulation area, the wind environment simulation result, and the light environment simulation result; The environmental comfort index of the simulation area is determined based on the wind environment simulation result, the thermal environment simulation result and the light environment simulation result.

2. The method according to claim 1, characterized in that Determining a wind environment simulation result of the simulation area based on the geographic data and the meteorological data includes: Based on the geographic data and the meteorological data, constructing a three-dimensional model of the simulation area; the geographic data includes terrain data and building feature data; the meteorological data includes at least one of wind speed, wind direction, temperature and humidity; Setting boundary conditions for the three-dimensional model, and dividing the three-dimensional model after setting the boundary conditions into a plurality of network units; For any one of the plurality of network units, numerical calculation is performed on the network unit based on a numerical simulation algorithm of fluid mechanics to obtain flow information of the network unit; Based on multiple flow information corresponding to the multiple network units, a wind environment simulation result of the simulation area is determined; the wind environment simulation result includes the distribution of at least one of the following wind environment parameters; the wind environment parameters include wind speed, wind direction and turbulence intensity.

3. The method according to claim 1 or 2, characterized in that: Determining a thermal environment simulation result of the simulation area based on the temperature of the simulation area, the wind environment simulation result, and the light environment simulation result, includes: Determining the air temperature and the radiation temperature of the simulation area; The thermal environment simulation result is determined based on the air temperature, the radiation temperature, the wind environment simulation result, and the light environment simulation result.

4. The method according to claim 3, characterized in that Determining the thermal environment simulation result based on the air temperature, the radiation temperature, the wind environment simulation result, and the light environment simulation result includes: UTCI=T a +ΔT mrt +ΔT wind +ΔT rad Among them, UTCI represents the thermal environment simulation result, T a represents the temperature, ΔT mrt represents the radiation temperature, ΔT wind Represents the wind environment simulation result, ΔT rad Represents the light environment simulation result.

5. The method according to claim 1 or 2, characterized in that: Determining a light environment simulation result of the simulation area based on the degree of line of sight obstruction of the simulation area includes: For any one of the multiple positions in the simulation area, calculating the sky visibility factor of the position in each of the preset multiple simulation time ranges; Determining the sunshine duration of each day at the location according to the sky visibility factor of the location in each simulation time range; Based on the daily sunshine duration of the multiple locations, a light environment simulation result of the simulation area is generated.

6. The method according to claim 5, characterized in that Determine the sunshine duration of the location every day according to the sky visibility factor of the location in each simulation time range, including: For any one of the multiple simulation time ranges, if the sky visibility factor of the location in the simulation time range is greater than a preset threshold, it is determined that the location has a valid sunshine duration in the simulation time range; If the sky visibility factor of the location in the simulation time range is less than or equal to the preset threshold, determining that there is no effective sunshine duration at the location in the simulation time range; The sum of the effective sunshine durations within the multiple simulation time ranges is taken as the sunshine duration of the location every day.

7. The method according to claim 1 or 2, characterized in that: Determining the environmental comfort index of the simulation area according to the wind environment simulation result, the thermal environment simulation result, and the light environment simulation result, including: Based on the wind environment simulation result, the first weighting coefficient corresponding to the wind environment simulation result, the thermal environment simulation result, the second weighting coefficient corresponding to the thermal environment simulation result, the light environment simulation result, and the third weighting coefficient corresponding to the light environment simulation result, the environmental comfort index of the simulation area is calculated.

8. An environmental comfort evaluation device, characterized in that: The device comprises: A data acquisition module is used to obtain geographic data and meteorological data of the simulation area; A wind environment simulation result determination module, used to determine the wind environment simulation result of the simulation area based on the geographic data and the meteorological data; A light environment simulation result determination module, used to determine the light environment simulation result of the simulation area based on the degree of sight line occlusion of the simulation area; A thermal environment simulation result determination module, used to determine the thermal environment simulation result of the simulation area based on the temperature of the simulation area, the wind environment simulation result and the light environment simulation result; The environmental comfort index determination module is used to determine the environmental comfort index of the simulation area according to the wind environment simulation result, the thermal environment simulation result and the light environment simulation result.

9. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the environmental comfort assessment method of the integrated wind-solar-thermal simulation technology according to any one of claims 1 to 7 by executing the computer instructions.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the environmental comfort assessment method of the integrated wind-solar-thermal simulation technology according to any one of claims 1 to 7.

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