Temperature adjusting method and system based on thermal comfort of commercial pedestrian street

Abstract

The invention discloses a temperature adjustment method and system based on thermal comfort of a commercial pedestrian street, and the method comprises the steps: carrying out the statistical analysis of the morphological characteristics of the commercial pedestrian street of a target region where a target commercial pedestrian street is located, and obtaining a plurality of commercial pedestrian street typical models of the target region; acquiring block building data, 3D spatial data and meteorological data of the target commercial pedestrian street; performing clustering processing on the block building data, and obtaining an optimal model from a plurality of commercial pedestrian street typical models; simulating thermal environment characteristics of the target commercial pedestrian street according to the 3D spatial data and the meteorological data; and adjusting the geometric shape of the target commercial pedestrian street based on the optimal model, and adjusting cooling equipment of the target commercial pedestrian street according to the thermal environment characteristics. According to the method, the comprehensive influence of the geometrical morphology and thermal environment characteristics of the commercial pedestrian street area on the thermal comfort of the commercial pedestrian street is systematically analyzed, and the thermal comfort of the commercial pedestrian street is effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of urban environmental planning and climate adaptability design, and in particular to a temperature adjustment method, system, terminal and computer-readable storage medium based on thermal comfort of a commercial pedestrian street. Background Art

[0002] Thermal environment optimization in architecture and urban planning usually adopts technical means including thermal environment simulation, meteorological data analysis and the influence of building geometry. These studies often focus on how to improve the thermal comfort of pedestrian streets through greening, sunshade facilities and ventilation design, as well as using reflective materials and installing spray cooling systems to reduce the temperature of pedestrian streets.

[0003] Climate-adaptive design methods are mainly used in architecture and urban planning, focusing on designing buildings and spatial layouts that adapt to specific climate conditions. Common design strategies include using energy-saving materials, optimizing building orientation, and designing effective natural ventilation systems.

[0004] However, climate adaptive design methods are mainly used in architecture and urban planning, with the focus on designing buildings and spatial layouts that adapt to specific climatic conditions. Thermal comfort issues in busy commercial areas are often ignored, and the current thermal environment optimization of commercial pedestrian streets is mostly focused on the impact analysis of a single factor, such as only focusing on the effects of green belts or shading facilities. There is a lack of systematic research that comprehensively considers the geometric form of pedestrian streets, and the geometric form of pedestrian streets has not been systematically optimized, nor has the design been combined with local climate adaptability.

[0005] Therefore, the prior art still needs to be improved and developed. Summary of the invention

[0006] The main purpose of the present invention is to provide a temperature adjustment method, system, terminal and computer-readable storage medium based on the thermal comfort of a commercial pedestrian street, aiming to solve the problem that the prior art lacks a thermal environment optimization solution for commercial pedestrian streets that comprehensively considers the geometric shape and climate adaptability of the pedestrian street, resulting in poor thermal comfort of the pedestrian street.

[0007] To achieve the above object, the present invention provides a temperature adjustment method based on the thermal comfort of a commercial pedestrian street, the temperature adjustment method based on the thermal comfort of a commercial pedestrian street comprising the following steps: Performing statistical analysis on the morphological characteristics of the commercial pedestrian streets in the target area where the target commercial pedestrian street is located, and obtaining multiple typical models of the commercial pedestrian streets in the target area; Collecting block building data, 3D space data and meteorological data of the target commercial pedestrian street; Performing clustering processing on the block building data to obtain the best model from a plurality of typical models of the commercial pedestrian street; Simulating the thermal environment characteristics of the target commercial pedestrian street according to the 3D spatial data and the meteorological data; The geometric shape of the target commercial pedestrian street is adjusted based on the optimal model, and the cooling equipment of the target commercial pedestrian street is adjusted according to the thermal environment characteristics.

[0008] Optionally, in the temperature adjustment method based on thermal comfort of a commercial pedestrian street, the block building data, the 3D space data and the meteorological data are all collected by a sensor network; The block building data includes street width, street length, number of building floors, building span, building depth, courtyard span and courtyard depth; The 3D spatial data includes geometric form, building layout, street orientation and vegetation distribution; The meteorological data include temperature, humidity, wind speed and solar radiation.

[0009] Optionally, the temperature adjustment method based on thermal comfort of a commercial pedestrian street, wherein clustering the block building data to obtain the best model from a plurality of typical models of the commercial pedestrian street, specifically includes: Calculating the mean and standard deviation of each parameter in the block building data respectively, and standardizing each parameter in the block building data according to the mean and the standard deviation to obtain standard block building data; The optimal number of clusters in the K-means clustering algorithm is determined by the elbow rule, and the standard block building data is clustered according to the optimal number of clusters by the K-means clustering algorithm, so as to obtain the best model that meets the target commercial pedestrian street from multiple typical models of the commercial pedestrian streets.

[0010] Optionally, the temperature adjustment method based on thermal comfort of a commercial pedestrian street, wherein the thermal environment characteristics of the target commercial pedestrian street are simulated according to the 3D spatial data and the meteorological data, specifically comprising: Inputting the 3D spatial data and the meteorological data model into ENVI-met for simulation to generate the spatial distribution and temporal distribution of the thermal environment; A thermal environment assessment is performed on the spatial distribution and the temporal distribution to obtain thermal environment characteristics of the target commercial pedestrian street.

[0011] Optionally, in the temperature adjustment method based on thermal comfort of a commercial pedestrian street, the geometric form includes building layout, street orientation and 3D form adjustment; The cooling equipment includes a green plant covering system, a spray cooling system and a sunshade system.

[0012] Optionally, the temperature adjustment method based on thermal comfort of a commercial pedestrian street, wherein the step of adjusting the geometric shape of the target commercial pedestrian street according to the optimal model specifically includes: Obtaining the optimal building layout, optimal street orientation and optimal 3D form of the target commercial pedestrian street according to the optimal model; Adjusting the building arrangement, building density and building height of the target commercial pedestrian street according to the optimal building layout; Adjusting the street orientation of the target commercial pedestrian street according to the optimal street orientation to reduce solar radiation heat accumulation; The building shape coefficient and surface area ratio of the target commercial pedestrian street are adjusted according to the optimal 3D form.

[0013] Optionally, the temperature adjustment method based on thermal comfort of a commercial pedestrian street, wherein the cooling equipment of the target commercial pedestrian street is adjusted according to the thermal environment characteristics, specifically includes: Determine the temperature of each area in the target commercial pedestrian street according to the thermal environment characteristics, and obtain the target area whose temperature exceeds a preset threshold; Increase the green plant coverage rate of the green plant coverage system in the target area, and increase the sunshade facilities of the sunshade system in the target area; A spray cooling system is arranged in the target area to increase the air humidity in the target area by regularly spraying tiny water mist.

[0014] In addition, to achieve the above-mentioned purpose, the present invention also provides a temperature adjustment system based on the thermal comfort of a commercial pedestrian street, wherein the temperature adjustment system based on the thermal comfort of a commercial pedestrian street comprises: A typical model building module is used to perform statistical analysis on the morphological characteristics of the commercial pedestrian streets in the target area where the target commercial pedestrian street is located, and obtain multiple typical models of the commercial pedestrian streets in the target area; A data collection module, for the block building data, 3D space data and meteorological data of the target commercial pedestrian street; The best model acquisition module is used to perform clustering processing on the block building data and obtain the best model from multiple typical models of the commercial pedestrian street; A thermal environment characteristic generation module, used for simulating the thermal environment characteristics of the target commercial pedestrian street according to the 3D spatial data and the meteorological data; The comfort optimization module is used to adjust the geometric shape of the target commercial pedestrian street based on the optimal model, and to adjust the cooling equipment of the target commercial pedestrian street according to the thermal environment characteristics.

[0015] In addition, to achieve the above-mentioned purpose, the present invention also provides a terminal, wherein the terminal includes: a memory, a processor, and a temperature adjustment program based on the thermal comfort of a commercial pedestrian street stored in the memory and executable on the processor, wherein the temperature adjustment program based on the thermal comfort of a commercial pedestrian street, when executed by the processor, implements the steps of the temperature adjustment method based on the thermal comfort of a commercial pedestrian street as described above.

[0016] In addition, to achieve the above-mentioned purpose, the present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a temperature adjustment program based on the thermal comfort of a commercial pedestrian street, and when the temperature adjustment program based on the thermal comfort of a commercial pedestrian street is executed by a processor, the steps of the temperature adjustment method based on the thermal comfort of a commercial pedestrian street as described above are implemented.

[0017] In the present invention, the morphological characteristics of the commercial pedestrian streets in the target area where the target commercial pedestrian street is located are statistically analyzed to obtain multiple typical models of commercial pedestrian streets in the target area; the block building data, 3D spatial data and meteorological data of the target commercial pedestrian street are collected; the block building data are clustered to obtain the best model from the multiple typical models of the commercial pedestrian street; the thermal environment characteristics of the target commercial pedestrian street are simulated according to the 3D spatial data and the meteorological data; the geometric shape of the target commercial pedestrian street is adjusted based on the best model, and the cooling equipment of the target commercial pedestrian street is adjusted according to the thermal environment characteristics. The present invention systematically analyzes the comprehensive impact of the geometric shape and thermal environment characteristics of the commercial pedestrian block on the thermal comfort of the commercial pedestrian street, and effectively improves the thermal comfort of the commercial pedestrian street. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a flow chart of a preferred embodiment of the temperature adjustment method based on thermal comfort of a commercial pedestrian street of the present invention; Figure 2 It is the plan view of 32 typical commercial pedestrian street models in the temperature adjustment method based on thermal comfort of commercial pedestrian streets of the present invention; Figure 3 It is a schematic diagram of the combination of 32 typical models in the temperature adjustment method based on thermal comfort of commercial pedestrian streets of the present invention; Figure 4 It is a comparison diagram of positive and negative spaces between City A and City B in the temperature adjustment method based on thermal comfort of a commercial pedestrian street of the present invention; Figure 5It is a schematic diagram of satellite images of 22 sample points in the temperature adjustment method based on thermal comfort of a commercial pedestrian street of the present invention; Figure 6 It is a schematic diagram of an optimal model of a commercial pedestrian street in the temperature adjustment method based on thermal comfort of a commercial pedestrian street of the present invention; Figure 7 It is a schematic diagram of geometric constraints of a target commercial pedestrian street in the temperature adjustment method based on thermal comfort of a commercial pedestrian street of the present invention; Figure 8 It is a structural diagram of a preferred embodiment of the temperature adjustment system based on thermal comfort of a commercial pedestrian street of the present invention; Fig. 9 Schematic diagram of the operating environment of a preferred embodiment of the terminal of the present invention. DETAILED DESCRIPTION

[0019] The present application provides a temperature adjustment method and related equipment based on thermal comfort of a commercial pedestrian street. In order to make the purpose, technical solution and effect of the present application clearer and more specific, the present application is further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0020] It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as those generally understood by those skilled in the art to which this application belongs. It should also be understood that terms such as those defined in general dictionaries should be understood to have meanings consistent with those in the context of the prior art, and will not be interpreted with idealized or overly formal meanings unless specifically defined as here.

[0021] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present invention, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or suggesting their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0022] The temperature adjustment method based on thermal comfort of a commercial pedestrian street described in a preferred embodiment of the present invention is as follows: Figure 1 and Figure 2 As shown, the temperature adjustment method based on the thermal comfort of the commercial pedestrian street includes the following steps: Step S10: Statistically analyze the morphological characteristics of the commercial pedestrian streets in the target area where the target commercial pedestrian street is located to obtain multiple typical models of the commercial pedestrian streets in the target area.

[0023] In this embodiment, a commercial pedestrian street in a city (the target area) with a warm temperate semi-humid climate in the northwest target area is taken as an example to construct multiple typical models of commercial pedestrian streets in the target area; the typical commercial pedestrian street model refers to a representative model used to analyze and simulate the impact of urban block morphology on local climate (microclimate). These models extract the typical characteristics of urban blocks in terms of spatial layout, building form, street width, height, green coverage, etc. through abstraction and simplification, and analyze or predict the changing characteristics of microclimate through interaction with climate elements.

[0024] Specifically, under the background of the unique chessboard-like urban morphology layout of the target area, three parts of work were done to make the model better reflect the characteristics of urban geometric morphology: investigation of cluster samples, selection of cluster indicators, and application of cluster methods. Figure 2 As shown, based on the statistical analysis of the morphological characteristics of commercial pedestrian streets in the target area and based on the built-up information, this study established 32 typical models that meet the morphological characteristics of commercial pedestrian streets in the target area.

[0025] Building layout refers to the different arrangements and combinations of building units and building groups, which will hinder or promote air flow in the area, and directly affect the solar radiation and ventilation environment received by the plot, thereby affecting the regional thermal environment. According to the common commercial pedestrian street building layout forms in the target area, the present invention designs 4 different building layout forms, namely plate-shaped, strip-shaped, courtyard-shaped, and single-family layouts. In order to verify the climate performance of all urban street canyon categories, the above parameters are combined to cover all possibilities, resulting in 32 canyon types, such as Figure 3 shown.

[0026] The results of K-means cluster analysis of the width, length, building span, building depth, building height, courtyard span, and courtyard depth of the sample streets are shown in Table 1. In the clustering process of building span, depth, and courtyard span depth, two major clusters can be obtained in the two clustering processes, which respectively reflect the horizontal and vertical layout of the building base shape. Therefore, the combination of various elements with typical configuration patterns formed 32 typical commercial pedestrian street scenes ( Figure 3). From the clustering results, it can be seen that the horizontal and vertical layout differences of the base shapes of buildings in large-scale streets are not obvious, and they do not have the characteristics of courtyard layout, so these two forms are not considered in the large-scale clustering results. For comparative analysis, the 32 scenarios are divided into two groups according to the street orientation, and named case A (north-south orientation) and case B (east-west orientation) according to the different street orientations; according to different street length-width ratios, they are divided into group C (5m*262m) and group D (11m-566m); according to different building base shapes, they are divided into group a (12m*17m) (vertical) and group b (15m*10m) (horizontal). For example, CaseA-Ca-1 represents a small-scale strip layout under the north-south orientation, in which the building base shape is a vertical layout.

[0027] Table 1: Variable clustering results Variable Name Clustering results (small scale) Clustering results (large scale) Street length and width 5m*262m 11m*566m Building span, depth, number of floors 12m*17m*3f / 15m*10m*3f 28m*54m*3F Courtyard width and depth 8m*11m / 14m*9m / It is understandable that in the earliest studies, the quantification of urban geometric forms mostly adopted the most direct on-site measurement method. The present invention divides the geometric forms into two parts: 2D indicators and 3D indicators to quantify the forms in the site, so as to effectively extract the real environment with different morphological characteristics and uniformity, and improve the accuracy of subsequent strategy formulation.

[0028] Step S20: Collect the block building data, 3D space data and meteorological data of the target commercial pedestrian street.

[0029] In this embodiment, a north-south commercial pedestrian street in the target area is selected for research. The area of ​​the street is 5,000 square meters, the street width is 10 meters, and the building heights are different. The street building data, the 3D spatial data, and the meteorological data are all collected by the sensor network; the street building data includes street width, street length, number of building floors, building span, building depth, courtyard span, and courtyard depth; the 3D spatial data includes geometric form, building layout, street orientation, and vegetation distribution; the meteorological data includes temperature, humidity, wind speed, and solar radiation.

[0030] Step S30: clustering the block building data to obtain the best model from the multiple typical models of the commercial pedestrian street.

[0031] In this embodiment, the geometric information of multiple commercial pedestrian streets in the target area is investigated, and 32 typical models of commercial pedestrian streets are constructed to represent the target area. Then, thermal environment analysis is performed to determine which model of the 32 typical models of commercial pedestrian streets is most suitable for the target commercial pedestrian street.

[0032] Specifically, the mean and standard deviation of each parameter in the block building data are calculated respectively, and each parameter in the block building data is standardized according to the mean and the standard deviation to obtain standard block building data.

[0033] It is understandable that if Figure 4 As shown in (a1), (a2) and (b1), (b2), (a1) and (a2) are respectively the positive and negative spaces of City A, (b1) and (b2) are respectively the positive and negative spaces of City B. Each city has its own unique macroscopic, mesoscopic and microscopic geometric forms. Eastern-Western cities, historical-contemporary cities, and mountain-plain cities all show large spatial differences due to their morphological backgrounds. From the positive and negative space diagrams of City B and City A, we can directly feel the differences in the composition of buildings and street spaces. The street space ratio of City B tends to be balanced, with a street-to-building ratio of about 4:6. The space is distributed along plots that are long from east to west and short from north to south. It has strong accessibility and small differences in the road grade of the plots. The street space ratio of City A is quite different, with a street-to-building ratio of about 2:8. The buildings are densely packed, and it is difficult to distinguish the relationship between streets and buildings from the black and white reversal diagram. It follows the grid-like layout of ancient streets. At the same time, the axis of the city canyon expresses the extension direction of the space. In the unique chessboard-like urban morphological layout of City A, the main direction is dominant (i.e. NS, EW). In order to make the samples better reflect the geometric features of the city, the present invention adopts clustering statistical techniques to make the samples better reflect the typical form of a city.

[0034] In this embodiment, firstly, 11 spatial morphological parameters of 22 real commercial pedestrian streets in the target area were statistically analyzed (eg Figure 5 As shown in Figure 2, a total of 7 parameters were selected for cluster analysis, namely street width, street length, number of building floors, building span, building depth, courtyard span and courtyard depth. The 22 block samples included 433 building samples and 29 courtyard layout samples. Since the dimensions of 3 of the 7 parameters were inconsistent, in order to ensure the accuracy and scientificity of the cluster analysis, the selected parameters were standardized to eliminate the differences between parameters of different dimensions. Specifically, the standardization was performed based on the mean and standard deviation of each parameter: ; Where X is the standardized variable, x is any one of the 7 parameters, is the mean of the parameter x, is the standard deviation of the variable x.

[0035] After standardization according to the mean and standard deviation of each parameter, the weight of each parameter in the cluster analysis is guaranteed to be balanced. The standardized results are shown in Table 2: Table 2: Standardization of sample variable parameters

[0036] Furthermore, the optimal number of clusters in the K-means clustering algorithm is determined by the elbow rule, and the standard block building data is clustered according to the optimal number of clusters by the K-means clustering algorithm, and the best model that meets the target commercial pedestrian street is obtained from the multiple typical models of the commercial pedestrian street (such as Figure 6 As shown in Figure 2), there are two optimal models, namely, the small-scale optimal model Figure 6 (a) in , and the best large-scale model, i.e. Figure 6 (b) in .

[0037] Specifically, due to the complexity and diversity of the urban built environment, it is necessary to use statistical methods to analyze relevant characteristics. The K-means clustering algorithm is an iterative clustering technique widely used in the field of data analysis. Its basic principle is to iteratively calculate the distance between data points and each cluster center, and assign the data points to the category represented by the nearest cluster center based on these distances. The goal of this algorithm is to minimize the differences within the cluster and maximize the differences between clusters under the condition of a predetermined number of clusters K, so as to ensure that the data points belonging to the same cluster have a high degree of similarity, while the data points between different clusters show obvious differences. When implementing the K-means clustering algorithm, the selection of the initial cluster center will be random, and then the algorithm will continuously adjust the position of the cluster center through an iterative process until the convergence condition is met, that is, the position of the cluster center no longer changes or the degree of change is lower than a preset threshold. In each iteration, the algorithm calculates the distance from each data point to each cluster center, and redistributes the data point to the cluster with the closest distance, and then updates the cluster center to the mean position of all data points in the cluster, and repeats this process until the algorithm stops. The operation steps are as follows: (1) Randomly select k objects from n data as the initial clustering centers; (2) Calculate the Euclidean distance from each remaining data point to the selected initial cluster center and classify them according to the principle of minimum distance; (3) Calculate the average value of the data in each cluster to its corresponding cluster center as the new cluster center; (4) Repeat steps (2) and (3) until the cluster center no longer changes. After multiple iterations (d), the cluster center tends to be stable, which indicates that the cluster reaches a global or local stable state and the clustering process is terminated.

[0038] At the same time, in order to accurately determine the optimal number of clusters K in the K-means clustering algorithm, the "elbow rule" is selected as the decision basis in this embodiment. The elbow rule is based on a key statistical indicator of cluster analysis, namely the sum of squared errors (SSE), which measures the sum of the distances from the sample points in the cluster to the center of the cluster, reflecting the degree of consistency of the members in the cluster. As the K value increases, SSE usually decreases because samples are assigned to more clusters and the samples in each cluster are closer. However, when the K value reaches a certain point, the rate of decrease of SSE becomes slow, which is usually regarded as an indication of the optimal number of clusters. From Figure 7 It can be seen that when the K value is 4, the cluster analysis error sum of squares SSE is significantly reduced and tends to change slowly, indicating that a balance is reached between the compactness of cluster members and the number of clusters. At this time, the K value can not only ensure that the samples in the cluster have a high similarity, but also avoid the loss of information caused by over-segmentation or the excessive complexity of the clustering results. Therefore, in the cluster analysis of street length and width, the K value is set to 4 in order to achieve the best balance between clustering effect and computational efficiency.

[0039] Step S40: simulating the thermal environment characteristics of the target commercial pedestrian street according to the 3D spatial data and the meteorological data.

[0040] Specifically, the 3D spatial data and the meteorological data model are input into ENVI-met for simulation to generate the spatial distribution and temporal distribution of the thermal environment.

[0041] A thermal environment assessment is performed on the spatial distribution and the temporal distribution to obtain thermal environment characteristics of the target commercial pedestrian street.

[0042] It can be understood that the ENVI-met simulation results are obtained by inputting 3D spatial data such as urban geometry, building layout, street orientation, vegetation distribution, and meteorological parameters (such as temperature, humidity, wind speed, solar radiation, etc.). By simulating these input data, the spatial and temporal distribution of the thermal environment is generated, and the impact of different design schemes on the local climate is evaluated.

[0043] In this embodiment, by summarizing and analyzing the computer simulation software in related fields at home and abroad, and combining with its own technical equipment, ENVI-met is finally used as a tool for microclimate simulation. ENVI-met is an advanced tool designed specifically for simulating and analyzing the microclimate conditions of cities and surrounding environments. It can provide detailed and accurate microclimate simulation data; secondly, ENVI-met has powerful functions and can simulate a variety of microclimate environmental indicators, including but not limited to humidity, temperature, solar radiation, wind speed and wind direction. These indicators are key factors in evaluating the thermal environment of urban streets, and can help to fully understand and evaluate microclimate changes under different urban forms. At the same time, ENVI-met provides a set of comprehensive tools and methods to support the comparison and analysis of urban microclimate environments based on urban morphological elements through scientific statistical methods. This means that ENVI-met can not only evaluate the current urban environment, but also predict the impact of future urban planning and architectural design changes on microclimate. This prediction ability is of great value in guiding future climate-adaptive urban design.

[0044] Step S50: adjusting the geometric shape of the target commercial pedestrian street based on the optimal model, and adjusting the cooling equipment of the target commercial pedestrian street according to the thermal environment characteristics.

[0045] Among them, the geometric form of the target commercial pedestrian street includes building layout, street orientation and 3D form adjustment; the cooling equipment of the target commercial pedestrian street includes a green plant covering system, a spray cooling system and a shading system.

[0046] In this embodiment, the optimal building layout, optimal street orientation and optimal 3D form of the target commercial pedestrian street are obtained according to the optimal model.

[0047] Specifically, Figure 8 As shown, the building arrangement, building density and building height of the target commercial pedestrian street are adjusted according to the optimal building layout.

[0048] It is understood that by extracting the geometry of representative blocks, the influence of the arrangement, density and height of buildings on the local thermal environment can be determined. The height and density of buildings will affect the ventilation, shadow area and heat accumulation of the block. When adjusting the layout of buildings, the air circulation channels can be increased and the heat retention can be reduced according to the representative geometry, such as the distance between buildings and the density of interfaces. For example, by reducing the density of buildings or increasing the gaps between buildings, the flow of natural wind can be promoted, thereby reducing the heat island effect.

[0049] The street orientation of the target commercial pedestrian street is adjusted according to the optimal street orientation to reduce the accumulation of solar radiation heat.

[0050] Understandably, street orientation has a significant impact on the thermal environment, especially in high-density urban environments, where street orientation affects the duration of sunlight and wind direction. Depending on the climate conditions of the target area, streets oriented north-south can help reduce solar heat accumulation and improve ventilation. Therefore, in typical geometric adjustments, street orientation can be optimized (such as changing from east-west to north-south) to reduce sunlight and overheating, especially in summer, to reduce overheating problems on pedestrian streets.

[0051] The building shape coefficient and surface area ratio of the target commercial pedestrian street are adjusted according to the optimal 3D form.

[0052] It is understood that 3D morphological features such as building shape factor and surface area ratio significantly affect heat accumulation in a thermal environment. By optimizing the shape of the building (such as reducing the architectural design of complex facades), the surface area exposed to solar radiation is reduced, thereby reducing heat accumulation.

[0053] Furthermore, the temperature of each area in the target commercial pedestrian street is determined based on the thermal environment characteristics, and the target area where the temperature exceeds a preset threshold is obtained, the green plant coverage rate of the green plant coverage system in the target area is increased, and the shading facilities of the shading system in the target area are increased.

[0054] Greening plays a vital role in the urban thermal environment. According to the analysis of thermal environment characteristics, plants can not only reduce the temperature through transpiration, but also provide shade to reduce the heat accumulation of the ground and buildings. By increasing the coverage of green plants in the pedestrian street area, such as setting green plants and planting trees on both sides of the road or between buildings, the temperature can be effectively reduced and the thermal comfort can be increased. In this embodiment, the temperature of each area in the target commercial pedestrian street is determined according to the thermal environment characteristics, and then the temperature of which areas is too high and the air flow is not smooth, and greening can be increased first. For example, tall trees are planted on the side of the south-facing street with strong sunlight, or green belts are set around the square to reduce heat radiation. And adding sunshade facilities, such as awnings, adjustable blinds, etc. can reduce solar radiation entering the block and avoid overheating in local areas. These facilities are flexibly adjusted according to the sun angle and thermal environment characteristics, especially in the afternoon with strong sunlight, to provide pedestrians with space to escape the heat.

[0055] A spray cooling system is arranged in the target area to increase the air humidity in the target area by regularly spraying tiny water mist.

[0056] The spray cooling system is an active cooling method that increases local air humidity and lowers temperature by spraying tiny water mist. Based on the analysis of the thermal environment, the spray system can be installed in areas with severe heat accumulation and poor air flow, such as squares and the middle section of open pedestrian streets. In this embodiment, when setting up the spray system in the pedestrian street area, the research will identify areas with higher temperatures or dense traffic based on thermal environment simulation data, and then reduce the local temperature through regular or intelligent spraying to provide a more comfortable walking experience.

[0057] According to experimental verification, after implementing the above optimization measures, the average temperature in the block dropped by 2.5℃, the relative humidity increased by 5%, the wind speed increased by 10%, and pedestrians' comfort rating of the block increased by 20%.

[0058] Furthermore, in another embodiment of the present invention, another east-west oriented commercial pedestrian street in the target area is selected for research, the street area is 3,000 square meters, the street width is 8 meters, and the building heights are uniform.

[0059] The optimization steps are: Data collection: Collect relevant data using automatic weather stations and building facade sensors; extract 2D and 3D morphological indicators of the block.

[0060] Data Analysis: Spearman correlation analysis was used to evaluate the relationship between 2D and 3D morphological indicators and thermal environmental parameters; key thermal environmental influencing factors such as building shape coefficient and street orientation were identified.

[0061] Optimize design: Modify street layout and increase the spacing between buildings to increase wind speed.

[0062] Equipped with a timed misting system and automatically adjusting awnings to optimize the thermal environment.

[0063] Effect verification: After optimization, the solar radiation intensity in the block was reduced by 15% and the air temperature was reduced by 3°C; the pedestrian comfort level in the block was increased by 25% and the heat island effect was significantly reduced.

[0064] In yet another embodiment of the present invention, a commercial pedestrian street area in the target area is selected for comprehensive optimization research, which has an area of ​​6,000 square meters and has large variations in street width and building height.

[0065] The optimization steps are: Data collection: Collect meteorological data and spatial morphological data, including building height, street width, green coverage rate, etc.

[0066] Data analysis: K-means cluster analysis and Spearman correlation analysis were used to evaluate the thermal environment effects of different models and identify key thermal environment influencing factors such as building layout, street geometry and greening configuration.

[0067] Optimize the design: adjust the street layout and building height, increase green coverage, and install environmental conditioning equipment; use ENVI-met to simulate and evaluate the thermal environment effects of the comprehensive optimization plan.

[0068] Effect verification: After comprehensive optimization, the thermal comfort level in the block increased by 20%, and the high-temperature area decreased by 25%; the overall satisfaction of pedestrians with the pedestrian street increased by 30%, and the thermal environment quality was significantly improved.

[0069] The present invention can bring the following beneficial effects: (1) The present invention can significantly improve thermal comfort. By systematically analyzing and optimizing the geometric morphology and thermal environment data of the commercial pedestrian street in the target area, the present invention effectively improves the thermal comfort in the block. The research results show that the block designed using the model of the present invention can significantly reduce the air temperature and sensible temperature of the local area in the hot season, improve the thermal comfort felt by pedestrians, and reduce the discomfort caused by high temperature.

[0070] (2) By introducing the correlation analysis of 3D morphological indicators and thermal environment parameters, the present invention can more accurately control key factors such as solar radiation, wind speed and relative humidity in the block and optimize the thermal environment distribution. This refined thermal environment regulation helps to reduce the urban heat island effect and improve the ecological environment quality of the block.

[0071] (3) By optimizing the street orientation and building layout, the present invention achieves significant energy-saving effects without increasing the energy consumption of additional equipment. Compared with traditional design methods, the present invention reduces the reliance on cooling equipment such as air conditioners, reduces energy consumption and carbon emissions, and is environmentally friendly.

[0072] (4) The model of the present invention provides optimal solutions for multiple morphological configurations and can be flexibly applied to the design of commercial pedestrian streets in different geographical locations and climatic conditions. Regardless of whether the block is oriented north-south or east-west, the present invention can optimize the thermal environment through reasonable morphological design strategies, making the design more adaptable and flexible.

[0073] (5) The present invention significantly improves the overall spatial quality of the commercial pedestrian street and enhances the walking experience of citizens and tourists through reasonable morphological design and thermal environment optimization measures. The optimized block can effectively reduce the occurrence of high temperature areas, provide a more pleasant outdoor activity space, and promote the utilization rate of urban public space.

[0074] Furthermore, if Figure 6As shown, based on the above-mentioned temperature adjustment method based on the thermal comfort of a commercial pedestrian street, the present invention also provides a temperature adjustment system based on the thermal comfort of a commercial pedestrian street, wherein the temperature adjustment system based on the thermal comfort of a commercial pedestrian street comprises: A typical model building module 61 is used to perform statistical analysis on the morphological characteristics of the commercial pedestrian streets in the target area where the target commercial pedestrian street is located, and obtain multiple typical models of the commercial pedestrian streets in the target area; Data collection module 62, used for block building data, 3D space data and meteorological data of the target commercial pedestrian street; The best model acquisition module 63 is used to perform clustering processing on the block building data and obtain the best model from multiple typical models of the commercial pedestrian street; A thermal environment characteristic generating module 64 is used to simulate the thermal environment characteristics of the target commercial pedestrian street according to the 3D spatial data and the meteorological data; The comfort optimization module 65 is used to adjust the geometric shape of the target commercial pedestrian street based on the optimal model, and to adjust the cooling equipment of the target commercial pedestrian street according to the thermal environment characteristics.

[0075] Furthermore, if Figure 7 As shown, based on the above-mentioned temperature adjustment method and system based on thermal comfort of a commercial pedestrian street, the present invention also provides a terminal accordingly, and the terminal includes a processor 10, a memory 20 and a display 30. Figure 7 Only some components of the terminal are shown, but it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0076] In some embodiments, the memory 20 may be an internal storage unit of the terminal, such as a hard disk or memory of the terminal. In other embodiments, the memory 20 may also be an external storage device of the terminal, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the terminal. Furthermore, the memory 20 may also include both an internal storage unit of the terminal and an external storage device. The memory 20 is used to store application software and various types of data installed on the terminal, such as the program code of the installation terminal. The memory 20 may also be used to temporarily store data that has been output or is to be output. In one embodiment, a temperature adjustment program 40 based on the thermal comfort of a commercial pedestrian street is stored on the memory 20, and the temperature adjustment program 40 based on the thermal comfort of a commercial pedestrian street can be executed by the processor 10, thereby realizing the temperature adjustment method based on the thermal comfort of a commercial pedestrian street in this application.

[0077] In some embodiments, the processor 10 may be a central processing unit (CPU), a microprocessor or other data processing chip, used to run the program code or process data stored in the memory 20, such as executing the temperature adjustment method based on the thermal comfort of the commercial pedestrian street.

[0078] In some embodiments, the display 30 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, etc. The display 30 is used to display information on the terminal and to display a visual user interface. The components 10-30 of the terminal communicate with each other via a system bus.

[0079] In one embodiment, when the processor 10 executes the temperature adjustment program 40 based on the thermal comfort of the commercial pedestrian street in the memory 20, the following steps are implemented: Performing statistical analysis on the morphological characteristics of the commercial pedestrian streets in the target area where the target commercial pedestrian street is located, and obtaining multiple typical models of the commercial pedestrian streets in the target area; Collecting block building data, 3D space data and meteorological data of the target commercial pedestrian street; Performing clustering processing on the block building data to obtain the best model from a plurality of typical models of the commercial pedestrian street; Simulating the thermal environment characteristics of the target commercial pedestrian street according to the 3D spatial data and the meteorological data; The geometric shape of the target commercial pedestrian street is adjusted based on the optimal model, and the cooling equipment of the target commercial pedestrian street is adjusted according to the thermal environment characteristics.

[0080] Wherein, the block building data, the 3D space data and the meteorological data are all collected by a sensor network; The block building data includes street width, street length, number of building floors, building span, building depth, courtyard span and courtyard depth; The 3D spatial data includes geometric form, building layout, street orientation and vegetation distribution; The meteorological data include temperature, humidity, wind speed and solar radiation.

[0081] The clustering process of the block building data to obtain the best model from a plurality of typical models of the commercial pedestrian street specifically includes: Calculating the mean and standard deviation of each parameter in the block building data respectively, and standardizing each parameter in the block building data according to the mean and the standard deviation to obtain standard block building data; The optimal number of clusters in the K-means clustering algorithm is determined by the elbow rule, and the standard block building data is clustered according to the optimal number of clusters by the K-means clustering algorithm, so as to obtain the best model that meets the target commercial pedestrian street from multiple typical models of the commercial pedestrian streets.

[0082] The step of simulating the thermal environment characteristics of the target commercial pedestrian street according to the 3D spatial data and the meteorological data specifically includes: Inputting the 3D spatial data and the meteorological data model into ENVI-met for simulation to generate the spatial distribution and temporal distribution of the thermal environment; A thermal environment assessment is performed on the spatial distribution and the temporal distribution to obtain thermal environment characteristics of the target commercial pedestrian street.

[0083] Wherein, the geometric form includes building layout, street orientation and 3D form adjustment; The cooling equipment includes a green plant covering system, a spray cooling system and a sunshade system.

[0084] The step of adjusting the geometric shape of the target commercial pedestrian street according to the optimal model specifically includes: Obtaining the optimal building layout, optimal street orientation and optimal 3D form of the target commercial pedestrian street according to the optimal model; Adjusting the building arrangement, building density and building height of the target commercial pedestrian street according to the optimal building layout; Adjusting the street orientation of the target commercial pedestrian street according to the optimal street orientation to reduce solar radiation heat accumulation; The building shape coefficient and table of the target commercial pedestrian street are adjusted according to the optimal 3D form, wherein the cooling equipment of the target commercial pedestrian street is adjusted according to the thermal environment characteristics, specifically including: Determine the temperature of each area in the target commercial pedestrian street according to the thermal environment characteristics, and obtain the target area whose temperature exceeds a preset threshold; Increase the green plant coverage rate of the green plant coverage system in the target area, and increase the sunshade facilities of the sunshade system in the target area; A spray cooling system is arranged in the target area to increase the air humidity in the target area by regularly spraying tiny water mist.

[0085] In summary, the present invention provides a temperature adjustment method and system based on the thermal comfort of a commercial pedestrian street, the method comprising: statistically analyzing the morphological characteristics of the commercial pedestrian street in the target area where the target commercial pedestrian street is located, and obtaining multiple typical models of the commercial pedestrian street in the target area; collecting the block building data, 3D spatial data and meteorological data of the target commercial pedestrian street; clustering the block building data, and obtaining the best model from the multiple typical models of the commercial pedestrian street; simulating the thermal environment characteristics of the target commercial pedestrian street according to the 3D spatial data and the meteorological data; adjusting the geometric shape of the target commercial pedestrian street based on the best model, and adjusting the cooling equipment of the target commercial pedestrian street according to the thermal environment characteristics. The present invention dynamically adjusts the spatial layout and environmental parameters of the commercial pedestrian street by combining multi-source environmental data, climate conditions and urban morphological characteristics to improve the thermal comfort and user experience of the pedestrian street. It can also be further applied to urban planning, public space design and the formulation of climate change response strategies, and is suitable for the design and optimization of commercial pedestrian streets, public squares and other urban open spaces in hot seasons and climate-changing areas.

[0086] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or terminal including the element.

[0087] Of course, those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided by the present invention can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0088] It should be understood that the application of the present invention is not limited to the above examples. For ordinary technicians in this field, improvements or changes can be made based on the above description. All these improvements and changes should fall within the scope of protection of the claims attached to the present invention.

Claims

1. A temperature adjustment method based on thermal comfort of a commercial pedestrian street, characterized in that: The temperature adjustment method based on the thermal comfort of the commercial pedestrian street includes: Performing statistical analysis on the morphological characteristics of the commercial pedestrian streets in the target area where the target commercial pedestrian street is located, and obtaining multiple typical models of the commercial pedestrian streets in the target area; Collecting block building data, 3D space data and meteorological data of the target commercial pedestrian street; Performing clustering processing on the block building data to obtain the best model from a plurality of typical models of the commercial pedestrian street; Simulating the thermal environment characteristics of the target commercial pedestrian street according to the 3D spatial data and the meteorological data; The geometric shape of the target commercial pedestrian street is adjusted based on the optimal model, and the cooling equipment of the target commercial pedestrian street is adjusted according to the thermal environment characteristics.

2. The temperature adjustment method based on thermal comfort of a commercial pedestrian street according to claim 1, characterized in that: The block building data, the 3D space data and the meteorological data are all collected by a sensor network; The block building data includes street width, street length, number of building floors, building span, building depth, courtyard span and courtyard depth; The 3D spatial data includes geometric form, building layout, street orientation and vegetation distribution; The meteorological data include temperature, humidity, wind speed and solar radiation.

3. The temperature adjustment method based on thermal comfort of a commercial pedestrian street according to claim 1, characterized in that: The clustering process of the block building data to obtain the best model from a plurality of typical models of the commercial pedestrian street specifically includes: Calculating the mean and standard deviation of each parameter in the block building data respectively, and standardizing each parameter in the block building data according to the mean and the standard deviation to obtain standard block building data; The optimal number of clusters in the K-means clustering algorithm is determined by the elbow rule, and the standard block building data is clustered according to the optimal number of clusters by the K-means clustering algorithm, so as to obtain the best model that meets the target commercial pedestrian street from multiple typical models of the commercial pedestrian streets.

4. The temperature adjustment method based on thermal comfort of a commercial pedestrian street according to claim 1, characterized in that: The simulating the thermal environment characteristics of the target commercial pedestrian street according to the 3D spatial data and the meteorological data specifically includes: Inputting the 3D spatial data and the meteorological data model into ENVI-met for simulation to generate the spatial distribution and temporal distribution of the thermal environment; A thermal environment assessment is performed on the spatial distribution and the temporal distribution to obtain thermal environment characteristics of the target commercial pedestrian street.

5. The temperature adjustment method based on thermal comfort of a commercial pedestrian street according to claim 1, characterized in that: The geometry includes building layout, street orientation and 3D shape adjustments; The cooling equipment includes a green plant covering system, a spray cooling system and a sunshade system.

6. The temperature adjustment method based on thermal comfort of a commercial pedestrian street according to claim 5 is characterized in that: The step of adjusting the geometric shape of the target commercial pedestrian street according to the optimal model specifically includes: Obtaining the optimal building layout, optimal street orientation and optimal 3D form of the target commercial pedestrian street according to the optimal model; Adjusting the building arrangement, building density and building height of the target commercial pedestrian street according to the optimal building layout; Adjusting the street orientation of the target commercial pedestrian street according to the optimal street orientation to reduce solar radiation heat accumulation; The building shape coefficient and surface area ratio of the target commercial pedestrian street are adjusted according to the optimal 3D form.

7. The temperature adjustment method based on thermal comfort of a commercial pedestrian street according to claim 5, characterized in that: The adjusting the cooling equipment of the target commercial pedestrian street according to the thermal environment characteristics specifically includes: Determine the temperature of each area in the target commercial pedestrian street according to the thermal environment characteristics, and obtain the target area whose temperature exceeds a preset threshold; Increase the green plant coverage rate of the green plant coverage system in the target area, and increase the sunshade facilities of the sunshade system in the target area; A spray cooling system is arranged in the target area to increase the air humidity in the target area by regularly spraying tiny water mist.

8. A temperature adjustment system based on thermal comfort of a commercial pedestrian street, characterized in that: The temperature adjustment system based on thermal comfort of the commercial pedestrian street includes: A typical model building module is used to perform statistical analysis on the morphological characteristics of the commercial pedestrian streets in the target area where the target commercial pedestrian street is located, and obtain multiple typical models of the commercial pedestrian streets in the target area; A data collection module, for the block building data, 3D space data and meteorological data of the target commercial pedestrian street; The best model acquisition module is used to perform clustering processing on the block building data and obtain the best model from multiple typical models of the commercial pedestrian street; A thermal environment characteristic generation module, used for simulating the thermal environment characteristics of the target commercial pedestrian street according to the 3D spatial data and the meteorological data; The comfort optimization module is used to adjust the geometric shape of the target commercial pedestrian street based on the optimal model, and to adjust the cooling equipment of the target commercial pedestrian street according to the thermal environment characteristics.

9. A terminal, characterized in that: The terminal includes: a memory, a processor, and a temperature adjustment program based on the thermal comfort of a commercial pedestrian street stored in the memory and executable on the processor. When the temperature adjustment program based on the thermal comfort of a commercial pedestrian street is executed by the processor, the steps of the temperature adjustment method based on the thermal comfort of a commercial pedestrian street are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a temperature adjustment program based on the thermal comfort of a commercial pedestrian street. When the temperature adjustment program based on the thermal comfort of a commercial pedestrian street is executed by a processor, the steps of the temperature adjustment method based on the thermal comfort of a commercial pedestrian street are implemented as described in any one of claims 1-7.

Images