Method and device for building wet climate zoning considering the effect of wind-driven rain on the building envelope

Abstract

The present application discloses a method and device for zoning wet climate of buildings that considers the effect of wind-driven rain on the enclosure structure. The method includes: obtaining key meteorological parameters of the target area; determining the outdoor comprehensive temperature of the exterior walls of the buildings in the target city, and determining the dryness index of the drying potential of the exterior walls of the buildings in the target city based on the outdoor comprehensive temperature and combined with the air humidity; determining the wind-driven rain exposure value and the wind pressure coefficient from the key meteorological parameters; determining the comprehensive value of the environmental climate conditions of the target city based on the dryness index, the wind-driven rain exposure value and the wind pressure coefficient; determining the building wet climate zoning information based on the comprehensive value of the environmental climate conditions. In the method disclosed in the present application, the effect of the wind-driven rain index, the wind pressure index and the dryness index on the building wet climate zoning is fully considered, which helps to more accurately and comprehensively define the building wind and rain boundary conditions, thereby improving the accuracy of the building wet climate zoning, thereby guiding the formulation of policies such as building rain protection.

Description

Technical Field

[0001] The present application relates to the technical field of climate analysis, and in particular to a method and device for zoning building wet climates in consideration of the effects of wind-driven rain on enclosure structures. Background Art

[0002] The existing climate zoning methods in China include "Wet and Dry Climate Grades" GB / T 34307-2017, "Civil Building Thermal Design Code" GB50176-2016 and "Building Climate Zoning Standard" GB / 50178-93. Among them, "Wet and Dry Climate Grades" mainly focuses on the calculation of factors such as land surface evaporation and crop evaporation, involving disciplines such as climatology, geography, ecology and agronomy, and cannot guide the evaporation calculation of the building envelope structure; "Civil Building Thermal Design Code" mainly focuses on the adaptability of thermal design to the local climate, with the aim of making the energy-saving design of civil buildings more accurate, reasonable and efficient; "Building Climate Zoning Standard" mainly focuses on whether the building design can reasonably utilize climate resources, reduce energy consumption and provide suitable indoor thermal environment conditions.

[0003] In related technologies, the accuracy of dry and wet climate zoning methods needs to be further improved. Summary of the invention

[0004] In view of this, the present application provides a method and device for zoning wet climate in a building, which takes into account the effect of wind-driven rain on the enclosing structure, and can accurately and conveniently achieve wet climate zoning in a building.

[0005] In a first aspect, the present application provides a building wet climate zoning method that takes into account the effect of wind-driven rain on the enclosure structure, comprising:

[0006] Obtain key meteorological parameters of the target area;

[0007] Determine the outdoor comprehensive temperature of the exterior walls of the buildings in the target city, and determine the drying index of the drying potential of the exterior walls of the buildings in the target city based on the outdoor comprehensive temperature and combined with the air humidity;

[0008] Determine the wind-driven rain exposure value faced by the exterior walls of buildings in the target city and the wind pressure coefficient faced by the exterior walls of buildings in the target city based on the key meteorological parameters;

[0009] Determine the comprehensive value of the environmental climate conditions of the target city based on the dryness index, wind-driven rain exposure value and wind pressure coefficient;

[0010] Based on the comprehensive value of the environmental climate conditions, the wet climate zoning information of the building is determined.

[0011] Optionally, the key meteorological parameters are dry-bulb temperature, air humidity, precipitation, ground wind speed, wind direction and surface horizontal radiation.

[0012] Optionally, the outdoor comprehensive temperature of the exterior walls of buildings in the target city is determined based on the temperature, surface horizontal radiation, longitude and latitude, declination angle, solar hour angle, atmospheric transparency coefficient, and air quality of the target city.

[0013] Optionally, the outdoor comprehensive temperature is determined by the following formula:

[0014] ;

[0015] ;

[0016] ;

[0017] ;

[0018] ;

[0019] And sin α Satisfied when greater than 1 or the absolute value is less than the predetermined value ;

[0020] ;

[0021] ;

[0022] ;

[0023] In the formula, t sa is the outdoor drying temperature, t e is the outdoor dry bulb temperature, I is the total solar radiation I all Or the horizontal radiation value of the surface, r s is the solar radiation absorption coefficient of the outer surface of the enclosure structure, α e is the external surface heat transfer coefficient; I DV is the direct solar radiation intensity on the vertical surface, I dV for the sky’s diffuse radiation; I 0 is the solar constant, h is the solar altitude angle, p is the atmospheric transparency, m is the atmospheric mass value, e is the solar azimuth of the wall; α is the solar azimuth, c is the wall azimuth; f is the local latitude, dis the declination angle, oh is the solar hour angle; t is the local time sequence; n is the date sequence of the calculation day in the year.

[0024] Optionally, the dryness index DI , determined by the following formula,

[0025] ;

[0026] In the formula, T is the outdoor comprehensive temperature, RH is the air humidity, p sat ( T ) is the saturated pressure of steam at a given temperature, p out ( T ) is the partial vapor pressure of outdoor air, p atm is the total atmospheric pressure, w out is the humidity ratio of the outside air, w sat ( T ) is the humidity ratio when the steam is saturated, and m is the total number of hours in the usage data.

[0027] And / or, the wind driven rain exposure value I AS , determined by the following formula,

[0028] ;

[0029] In the formula, h i For the i The average precipitation per time unit, u i For the i The average wind speed in time counting units, i is a natural number, D is the angle between the wind direction and due north, i is the angle between the wall normal and due north, N is the number of years of data used;

[0030] And / or, the wind pressure coefficient DRWP , determined by the following formula,

[0031] ;

[0032] In the formula, C p is the pressure coefficient, ρ air is the air density, U represents the wind speed when there is precipitation, and D represents the wind direction when there is precipitation. iis the angle between the wall normal and the true north direction, m is the number of all records that occurred simultaneously with precipitation during the studied period.

[0033] Optionally, the comprehensive value of the environmental climate conditions of the target city is determined based on the dryness index, the wind-driven rain exposure value and the wind pressure coefficient, according to the critic weighting method.

[0034] Optionally, determining the building wet climate zoning information based on the comprehensive value of the environmental climate condition includes:

[0035] The inverse distance weighted method in arcGIS was used to interpolate the comprehensive values ​​of environmental climate conditions of all cities;

[0036] According to the comprehensive value of environmental climate conditions after difference, the natural breakpoint method is used to determine the building wet climate zoning information of the target city.

[0037] In a second aspect, the present application provides a building wet climate zoning device that takes into account the effect of wind-driven rain on the enclosure structure, comprising:

[0038] Acquisition module, used to obtain key meteorological parameters of the target area;

[0039] The first determination module is used to determine the outdoor comprehensive temperature of the exterior walls of the buildings in the target city, and determine the drying index of the drying potential of the exterior walls of the buildings in the target city according to the outdoor comprehensive temperature and combined with the air humidity;

[0040] A second determination module is used to determine the wind-driven rain exposure value faced by the exterior walls of the buildings in the target city and the wind pressure coefficient faced by the exterior walls of the buildings in the target city based on the key meteorological parameters;

[0041] A third determination module determines a comprehensive value of the environmental climate conditions of the target city based on the dryness index, the wind-driven rain exposure value and the wind pressure coefficient;

[0042] The fourth determination module is used to determine the building wet climate zoning information based on the comprehensive value of the environmental climate conditions.

[0043] In a third aspect, the present application provides a computer-readable storage medium, comprising a program, which, when executed on a computer, enables the computer to execute the method as described above.

[0044] In a fourth aspect, the present application provides an execution device, comprising a processor and a memory, wherein the processor is coupled to the memory;

[0045] The memory is used to store programs;

[0046] The processor is used to execute the program in the memory, so that the execution device executes the above method.

[0047] In the method disclosed in the present application, the effects of wind-driven rain index, wind pressure index and dryness index on the wet climate zoning of the building are fully considered, and the reasons are as follows: first, solar radiation accelerates the evaporation process of rainwater. When the sun shines on the wet wall surface, solar energy provides heat, making the water evaporate faster. This may cause water loss on part of the wall surface, thereby reducing the degree of erosion of the wall by rainwater. Secondly, wind pressure will also affect the erosion of the wall by rainwater. Strong winds will increase the impact and friction of rainwater on the wall, thereby aggravating the erosion process. Especially under severe weather conditions such as storms, wind pressure may make it easier for rainwater to penetrate into the wall and cause more serious erosion problems, thereby improving the accuracy of the wet climate zoning of the building.

[0048] The technical solution and other beneficial effects of the present application will be made apparent by describing in detail the specific implementation methods of the present application in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 An operational flow chart of an exemplary provided building wet climate zoning method is shown.

[0050] Figure 2 A block diagram of an exemplary wet climate zoning device for a building is shown;

[0051] Figure 3 A block diagram of an exemplary execution device is shown. DETAILED DESCRIPTION

[0052] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present application. However, the present application can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the present application, so the present application is not limited by the specific embodiments disclosed below.

[0053] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described here can be implemented in an order other than that illustrated or described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or modules is not necessarily limited to those steps or modules clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products or devices. The naming or numbering of steps in this application does not mean that the steps in the method flow must be executed in the time / logical sequence indicated by the naming or numbering. The process steps that have been named or numbered can change the execution order according to the technical purpose to be achieved, as long as the same or similar technical effects can be achieved. The division of units in this application is a logical division. There may be other division methods in actual application. For example, multiple units may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the coupling or direct coupling or communication connection between each other shown or discussed may be through some interfaces, and the indirect coupling or communication connection between units may be electrical or other similar forms, which are not limited in this application. Moreover, the units or sub-units described as separate components may or may not be physically separated, may or may not be physical units, or may be distributed in multiple circuit units, and some or all of the units may be selected according to actual needs to achieve the purpose of the present application.

[0054] Please refer to Figure 1 , Figure 1 A flowchart of a building wet climate zoning method considering the effect of wind-driven rain on the building envelope provided by an exemplary embodiment is shown. The method is implemented through steps 102-110.

[0055] In step 102, key meteorological parameters of the target area are obtained.

[0056] As an example, the key meteorological parameters here are dry bulb temperature (℃), air humidity (%), precipitation (mm / h), ground wind speed (m / s), wind direction (°), and surface horizontal radiation (W / ㎡). These types of key meteorological parameters can be collected and monitored by meteorological stations.

[0057] It is worth adding that the key meteorological parameter data has a time accuracy of: hourly data is greater than daily data, daily data is greater than monthly data, and monthly data is greater than annual data;

[0058] Wind direction data is usually difficult to obtain. Without wind direction data, we can get a macroscopic zoning situation, while with wind direction data, we can obtain an assessment of the specific direction.

[0059] In step 104, the outdoor comprehensive temperature of the exterior walls of the buildings in the target city is determined, and the drying index of the drying potential of the exterior walls of the buildings in the target city is determined based on the outdoor comprehensive temperature and the air humidity.

[0060] As an example, the outdoor comprehensive temperature of the exterior walls of buildings in the target city is determined based on the temperature (℃), surface horizontal radiation (W / ㎡), longitude and latitude (°), declination angle (°), solar hour angle (°), atmospheric transparency coefficient, and air quality of the target city.

[0061] The outdoor comprehensive temperature is determined by the following formula:

[0062] ;

[0063] ;

[0064] ;

[0065] ;

[0066] ;

[0067] And sin α Satisfied when greater than 1 or the absolute value is less than the predetermined value ;

[0068] ;

[0069] ;

[0070] ;

[0071] In the formula, t sa is the outdoor drying temperature, t e is the outdoor dry bulb temperature, I is the total solar radiation I all Or the horizontal radiation value of the surface, r s is the solar radiation absorption coefficient of the outer surface of the enclosure structure, α e is the heat transfer coefficient of the external surface; I DV is the direct solar radiation intensity on the vertical surface, IdV for the sky’s diffuse radiation; I 0 is the solar constant, h is the solar altitude angle, p is the atmospheric transparency, m is the atmospheric mass value, e is the solar azimuth of the wall; α is the solar azimuth, c is the wall azimuth; f is the local latitude, d is the declination angle, oh is the solar hour angle; t is the local time sequence; n is the date sequence of the calculation day in the year.

[0072] As an example, the dryness index DI , determined by the following formula,

[0073] ;

[0074] In the formula, T is the outdoor comprehensive temperature, RH is the air humidity, p sat ( T ) is the saturated pressure of steam at a given temperature, p out ( T ) is the partial vapor pressure of outdoor air, p atm is the total atmospheric pressure, w out is the humidity ratio of the outside air, w sat ( T ) is the humidity ratio when the steam is saturated, and m is the total number of hours in the usage data.

[0075] In step 106, the wind-driven rain exposure value faced by the exterior walls of the buildings in the target city and the wind pressure coefficient faced by the exterior walls of the buildings in the target city are determined based on the key meteorological parameters.

[0076] As an example, the wind-driven rain exposure value can be calculated from the precipitation (mm / h), the ground wind speed (m / s), and the wind direction (°). More specifically, the wind-driven rain exposure value I AS , determined by the following formula,

[0077] ;

[0078] In the formula, h i For the i The average precipitation per time unit, ui For the i The average wind speed in time counting units, i is a natural number, D is the angle between the wind direction and due north, i is the angle between the wall normal and true north, N is the number of years of data used.

[0079] As an example, the wind pressure coefficient DRWP , determined by the following formula,

[0080] ;

[0081] In the formula, C p is the pressure coefficient, ρ air is the air density, U represents the wind speed when there is precipitation, and D represents the wind direction when there is precipitation. i is the angle between the wall normal and the true north direction, m is the number of all records that occurred simultaneously with precipitation during the studied period.

[0082] In step 108, based on the dryness index, the wind-driven rain exposure value and the wind pressure coefficient, a comprehensive value of the environmental climate conditions of the target city is determined.

[0083] As an example, the three indicators of the dryness index, wind-driven rain exposure value and wind pressure coefficient for determining the comprehensive value of the environmental climate conditions can be weighted, and specifically, the critic weighting method can be used. Since the specific operation of the critic weighting method has been mastered by technicians in the relevant field, it will not be repeated here.

[0084] The comprehensive value of environmental and climate conditions can be expressed in the form of scores or points.

[0085] In step 110, building wet climate zone information is determined based on the comprehensive value of the environmental climate condition.

[0086] As an example, determining the building wet climate zone information based on the comprehensive value of the environmental climate condition includes:

[0087] The inverse distance weighted method in arcGIS was used to interpolate the comprehensive values ​​of environmental climate conditions of all cities;

[0088] According to the comprehensive value of environmental climate conditions after difference, the natural breakpoint method is used to determine the building wet climate zoning information of the target city.

[0089] Here, when using the natural breakpoint method for classification, the number of categories refers to the number of zones in the national building thermal design zoning map in the "Civil Building Thermal Design Code", and the building wet climate zones are divided into five categories.

[0090] The following is a common application scenario to illustrate the operation of building wet climate zoning. The method includes the following steps:

[0091] S1. This time, six meteorological parameters are used, including temperature (℃), air humidity (%), precipitation (mm / h), ground wind speed (m / s), wind direction (°), and surface horizontal radiation (W / ㎡) at a total of 354 meteorological stations in Beijing, Tianjin, Shanghai, etc. in China. The data is the meteorological data of 366 days in 2020, and it is assumed that there is a square building built due south and due north at each station;

[0092] S2. Calculate the outdoor comprehensive temperature (°C) of the exterior walls of buildings in the target city based on the basic meteorological parameters of temperature (°C) and surface horizontal radiation (W / ㎡) in S1 and longitude (°), latitude (°), declination angle (°), solar hour angle (°), atmospheric transparency coefficient, and air quality.

[0093] Specific calculation steps:

[0094] ① Calculate the daily declination angle of each station d (°)

[0095] ;

[0096] Where n is the date sequence of the calculation day in a year.

[0097] ②Calculate the solar hour angle at each station at each moment oh (°)

[0098] ;

[0099] Where t is the local time sequence, and the solar time angle at 12 noon is 0.

[0100] ③Calculate the solar altitude angle at each station h (°)

[0101] ;

[0102] In the formula f is the local latitude, d is the declination angle, oh is the solar hour angle.

[0103] ④Calculate the solar azimuth at each station α (°), negative values ​​are taken when the sun is eastward, and positive values ​​are taken when it is westward;

[0104] ;

[0105] When the calculated sin α When greater than 1, or sinα When the absolute value of is small, the following formula should be used instead

[0106] ;

[0107] In the formula f is the local latitude, d is the declination angle, oh is the solar hour angle, h is the solar altitude angle.

[0108] ⑤ Calculate the solar azimuth of the wall of the simulated building in the four directions of southeast, northwest and northeast at each site

[0109] ;

[0110] In the formula, α is the solar azimuth, c is the wall azimuth, with 0° to the south, 90° to the west, -90° to the east, and 180° (or -180°) to the north.

[0111] ⑥ Calculate the direct solar radiation intensity of the vertical surface of the simulated building in the four directions of southeast, northwest and northeast at each site I DV (W / ㎡)

[0112] ;

[0113] In the formula I DN is the normal solar radiation intensity, h is the solar altitude angle, e is the solar azimuth of the wall.

[0114] ⑦ Calculate the sky diffuse radiation received by the buildings at each site I dv

[0115] ;

[0116] In the formula I 0 is the solar constant, which is 1353 (W / ㎡), h is the solar altitude angle, p is the atmospheric transparency. The atmospheric transparency of a certain area at a certain time can only be obtained through statistical processing of measured data. In this calculation, all stations take 0.8. m The value of air quality can be taken as sin h The reciprocal of .

[0117] ⑧ Calculate the total solar radiation intensity of the simulated building in the four directions of southeast, northwest and northeast at each site I all

[0118] ;

[0119] In the formula, I DV is the direct solar radiation intensity on the vertical surface, I dV Diffuse radiation for the sky.

[0120] ⑨Calculate the outdoor comprehensive temperature t sa

[0121] ;

[0122] In the formula t e is the outdoor dry bulb temperature (°C), I For the solar radiation illuminance (W / ㎡), the macro group uses the surface horizontal radiation value, and the calculation results of step ⑧ are used for calculation of each orientation. r s is the solar radiation absorption coefficient of the outer surface of the enclosure structure, which is taken as 0.56. α e is the outer surface heat transfer coefficient, take 19.0W / (㎡·K)

[0123] S3. Calculate the wind-driven rainfall index of the entire city and the wind-driven rainfall index faced by the four-directional exterior walls of the building based on precipitation (mm / h), ground wind speed (m / s), and wind direction (°); calculate the wind pressure index of the entire city and the wind pressure index faced by the four-directional exterior walls of the building based on ground wind speed (m / s) and wind direction (°); calculate and evaluate the dryness index of the entire city and the dryness potential of the four-directional exterior walls of the building based on the outdoor comprehensive temperature (℃) and air humidity (%);

[0124] Specific calculation steps:

[0125] ① Calculation of wind-driven rainfall exposure value: the wind direction index can be introduced to calculate the wind-driven rainfall in each direction. Without the wind direction index, the calculation is the macro exposure value of wind-driven rainfall.

[0126] ;

[0127] In the formula, h i For the i The average precipitation per counting unit, u i For the i Average wind speed per counting unit ( i =1, 2, 3…), D is the angle between the wind direction and due north, iis the angle between the wall normal and true north, and N is the number of years of data used.

[0128] ② Calculate wind pressure coefficient DRWP ,Introducing the wind direction index can calculate the wind pressure in each direction without introducing the wind;

[0129] ③The index calculated is the macro wind pressure.

[0130] ;

[0131] in, C p is the pressure coefficient, generally taken as 1, r air is the air density, which is 1.2kg / m³. U represents the wind speed when there is precipitation (m / s), D represents the wind direction when there is precipitation (°), i is the angle between the wall normal and the true north direction, m are all the rainfall events that occurred simultaneously with the m records.

[0132] ④Calculate the drying index DI

[0133] ;

[0134] In the formula, T is the outdoor comprehensive temperature (℃), RH is the air humidity, which is calculated in decimal form. p sat ( T ) is the steam saturation pressure at a given temperature (Pa), p out ( T ) is the partial vapor pressure of outdoor air (Pa), p atm is the total atmospheric pressure, which is 101325 (Pa). w out is the humidity ratio of the outside air (kg water / kg air), w sat ( T ) is the humidity ratio when the steam is saturated (kg water / kg air), m The total number of hours in the usage data.

[0135] At this point, five sets of data from 354 meteorological stations are available.

[0136] Macro group: macro wind-driven rain exposure value, macro wind pressure value, macro dryness index value;

[0137] Eastward group: eastward wind-driven rainfall value, eastward wind pressure value, eastward dryness index value;

[0138] Westward group: westward wind driven rainfall value, westward wind pressure value, westward dryness index value;

[0139] Southward group: southward wind-driven rainfall value, southward wind pressure value, southward dryness index value;

[0140] Northward group: northward wind-driven rainfall value, northward wind pressure value, and northward dryness index value.

[0141] 4) The critic weight method is used to assign different weights to the three basic indicators of dryness index, wind-driven rain index and wind pressure index of the five sets of data to calculate the final score and obtain the scores of all cities.

[0142] Specific calculation steps

[0143] ①Indicator positive and standardized, there are 354 objects to be evaluated and 3 evaluation indicators, which can form a data matrix , let the elements in the data matrix, after the forward processing, be x´ ij .

[0144] Dryness index is a negative indicator (the smaller the better)

[0145] ;

[0146] Wind-driven rainfall and wind pressure indicators are positive indicators (the larger the better)

[0147] ;

[0148] ② Calculate the information carrying capacity of each indicator C j

[0149] First calculate the contrast and use the standard deviation to represent the contrast of the jth indicator

[0150] ;

[0151] Then calculate the contradiction, and set the contradiction between index j and the other indexes to be f j

[0152] ;

[0153] In the formula r ij Represents the correlation coefficient between indicators, and the Pearson correlation coefficient is used here.

[0154] ③Information carrying capacityC j

[0155] ;

[0156] ④Calculate weight w j and rating s i

[0157] ;

[0158] ;

[0159] The final weight ratio is:

[0160] Macro group weight ratio: macro wind-driven rain extreme exposure value: macro wind pressure value: macro dryness index value = 0.29: 0.273: 0.437;

[0161] The weight ratio of the eastward group: eastward wind driven rainfall value: eastward wind pressure value: eastward dryness index value = 0.269: 0.224: 0.507;

[0162] The weight ratio of the westward group: westward wind driven rainfall value: westward wind pressure value: westward dryness index value = 0.287: 0.370: 0.343;

[0163] The weight ratio of the southward group: southward wind driven rainfall value: southward wind pressure value: southward dryness index value = 0.286: 0.301: 0.413;

[0164] Northward group weight ratio: Northward wind driven rainfall value: Northward wind pressure value: Northward dryness index value = 0.318: 0.200: 0.482

[0165] The scores are shown in Table 1. The higher the score, the more humid the climate environment of the building envelope is.

[0166] Table 1 Wind-driven rain risk level scores

[0167]

[0168]

[0169]

[0170]

[0171]

[0172]

[0173]

[0174]

[0175] 5) Import the obtained scores into ArcGIS, use the inverse distance weighted method in ArcGIS to interpolate the final scores, and then use the natural breakpoint method to divide them into 5 categories to obtain the respective building wet climate zoning maps.

[0176] In addition, a control group was set up, and the wind-driven rain exposure diagram calculated according to ISO 15927-3:2009 standard was used as the control group for the wet climate zone of the building.

[0177] S1. The control group used three meteorological parameters: precipitation (mm / h), ground wind speed (m / s), and wind direction (°) from a total of 354 meteorological stations in Beijing, Tianjin, Shanghai, etc. in China. The data was the meteorological data of 366 days in 2020, and it was assumed that there was a square building built due south and due north at each station;

[0178] S2. Calculate the wind-driven rainfall index of the entire city and the wind-driven rainfall index faced by the exterior walls of the four directions of the building based on precipitation (mm / h), ground wind speed (m / s) and wind direction (°);

[0179] Specific calculation steps:

[0180] ① Calculation of wind-driven rainfall exposure value: the wind direction index can be introduced to calculate the wind-driven rainfall in each direction. Without the wind direction index, the calculation is the macro exposure value of wind-driven rainfall.

[0181] ;

[0182] In the formula h i For the i The average precipitation per counting unit, u i For the i Average wind speed per counting unit ( i =1, 2, 3…), D is the angle between the wind direction and due north, i is the angle between the wall normal and true north, N is the number of years of data used.

[0183] ② Calculation of wind-driven rain exposure score

[0184] ;

[0185] In the formula is the wind-driven rain exposure value of each station, is the maximum value in each group of data. For score.

[0186] At this point, five sets of data from 354 meteorological stations can be obtained.

[0187] Macro group: macro wind-driven rain exposure value;

[0188] Eastward group: eastward wind-driven rainfall values;

[0189] Westward group: westward wind-driven rainfall values;

[0190] Southward group: south wind driven rainfall values;

[0191] Northward group: northerly wind-driven rainfall values;

[0192] S3. Import the obtained scores into ArcGIS, use the inverse distance weighted method in ArcGIS to interpolate the final scores, and then use the natural breakpoint method to divide them into 6 categories to obtain the respective wind-driven rain exposure maps.

[0193] Please refer to Figure 2 , which shows a block diagram of a submarine cable stiffness prediction device provided by the present application. The device 200 includes:

[0194] An acquisition module 202 is used to acquire key meteorological parameters of a target area;

[0195] The first determination module 204 is used to determine the outdoor comprehensive temperature of the exterior walls of the buildings in the target city, and determine the drying index of the drying potential of the exterior walls of the buildings in the target city according to the outdoor comprehensive temperature and the air humidity;

[0196] A second determination module 206 is used to determine the wind-driven rain exposure value faced by the exterior wall of the building in the target city and the wind pressure coefficient faced by the exterior wall of the building in the target city based on the key meteorological parameters;

[0197] A third determination module 208 determines a comprehensive value of the environmental climate conditions of the target city based on the dryness index, the wind-driven rain exposure value and the wind pressure coefficient;

[0198] The fourth determination module 210 is used to determine the building wet climate zoning information based on the comprehensive value of the environmental climate condition.

[0199] Since the above methods have been discussed in detail, the specific implementation of the above modules will not be repeated here.

[0200] Next, an execution device provided by an embodiment of the present application is introduced. Figure 3 , Figure 3This is a schematic diagram of a structure of an execution device provided in an embodiment of the present application. The execution device 300 can be specifically manifested as an autonomous driving vehicle, a mobile phone, a tablet, a laptop computer, a desktop computer, a monitoring data processing device, etc., which is not limited here. Figure 1 The functions of the execution device in the corresponding embodiment. Specifically, the execution device 300 includes: a receiver 301, a transmitter 302, a processor 303 and a memory 304 (wherein the number of the processor 303 in the execution device 300 can be one or more, Figure 3 In the example of FIG. 3 , the processor 303 may include an application processor 3031 and a communication processor 3032. In some embodiments of the present application, the receiver 301, the transmitter 302, the processor 303 and the memory 304 may be connected via a bus or other means.

[0201] The memory 304 may include a read-only memory and a random access memory, and provides instructions and data to the processor 303. A portion of the memory 304 may also include a non-volatile random access memory (NVRAM). The memory 304 stores processor and operation instructions, executable modules or data structures, or subsets thereof, or extended sets thereof, wherein the operation instructions may include various operation instructions for implementing various operations.

[0202] The processor 303 controls the operation of the execution device. In a specific application, the various components of the execution device are coupled together through a bus system, wherein the bus system includes not only a data bus but also a power bus, a control bus, and a status signal bus, etc. However, for the sake of clarity, various buses are referred to as bus systems in the figure.

[0203] The method disclosed in the above embodiment of the present application can be applied to the processor 303, or implemented by the processor 303. The processor 303 can 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 or software instructions in the processor 303. The above processor 303 can be a general-purpose processor, a digital signal processor (digital signal processing, DSP), a microprocessor or a microcontroller, and can further include an application specific integrated circuit (application specific integrated circuit, ASIC), a field programmable gate array (field-programmable gate array, FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The processor 303 can implement or execute the various methods, steps and logic block diagrams disclosed in the embodiments of the present application. The general processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiment of the present application can be directly embodied as a hardware decoding processor to execute, or a combination of hardware and software modules in the decoding processor to execute. The software module may be located in a storage medium mature in the art, 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 304, and the processor 303 reads the information in the memory 304 and completes the steps of the above method in combination with its hardware.

[0204] The receiver 301 can be used to receive inputted digital or symbol information, and generate signal input related to the relevant settings and function control of the execution device. The transmitter 302 can be used to output the digital or symbol information through the first interface; the transmitter 302 can also be used to send instructions to the disk group through the first interface to modify the data in the disk group; the transmitter 302 can also include a display device such as a display screen.

[0205] In the embodiment of the present application, the processor 303 is used to execute Figure 1 The specific manner in which the application processor 3031 in the processor 303 performs the above steps is the same as that in the present application. Figure 1 The corresponding method embodiments are based on the same concept, and the technical effects they bring are the same as those in this application. Figure 1 The corresponding method embodiments are the same. For specific contents, please refer to the description in the method embodiments shown above in this application, which will not be repeated here.

[0206] The above is only a preferred specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by any technician familiar with the technical field within the technical scope disclosed in the present application should be covered within the protection scope of the present application.

Claims

1. A building wet climate zoning method considering the effect of wind-driven rain on the enclosure structure, characterized in that: include: Obtain key meteorological parameters of the target area; Determine the outdoor comprehensive temperature of the exterior walls of the buildings in the target city, and determine the drying index of the drying potential of the exterior walls of the buildings in the target city based on the outdoor comprehensive temperature and combined with the air humidity; Determine the comprehensive value of the environmental climate conditions of the target city based on the dryness index, wind-driven rain exposure value and wind pressure coefficient; Determining building wet climate zoning information based on the comprehensive value of the environmental climate conditions; The outdoor comprehensive temperature is determined by the following formula, I all =I DV +I dV ; ε=α-γ; And when sinα is greater than 1 or its absolute value is less than a predetermined value, ω=15*(t-12); Where, t sa is the outdoor drying temperature, t e is the outdoor dry bulb temperature, I is the total solar radiation illuminance I all Or the horizontal radiation value of the surface, ρ s is the solar radiation absorption coefficient of the outer surface of the enclosure structure, α e is the external surface heat transfer coefficient; I DV is the direct solar radiation intensity on the vertical surface, I dV is the sky scattered radiation; I0 is the solar constant, h is the solar altitude angle, p is the atmospheric transparency, m is the atmospheric mass value, and ε is the wall solar azimuth; where α is the solar azimuth, and γ is the wall azimuth; is the local latitude, δ is the declination angle, ω is the solar hour angle; t is the local time sequence; n is the date sequence of the calculation day in a year; The dryness index DI is determined by the following formula, Δw(T)=w sat (T)-w out (T) p out (T)=RH*p sat (T) In the formula, T is the outdoor comprehensive temperature, RH is the air humidity, psa t (T) is the saturated pressure of steam at a given temperature, p out (T) is the partial vapor pressure of outdoor air, p atm is the total atmospheric pressure, w out is the humidity ratio of the outside air, w sat (T) is the humidity ratio when the steam is saturated, and m is the total number of hours in the usage data; And / or, the wind driven rain exposure value IAS is determined by the following formula, In the formula, h i is the average precipitation in the i-th time counting unit, u i is the average wind speed of the i-th time counting unit and i is a natural number, D is the angle between the wind direction and due north, θ is the angle between the wall normal and due north, and N is the number of years of data used; And / or, the wind pressure coefficient DRWP is determined by the following formula, In the formula, C p is the pressure coefficient, ρ air is the air density, U represents the wind speed when there is precipitation, and m is the number of all records occurring simultaneously with precipitation during the studied time period; the wind-driven rain exposure value faced by the exterior walls of the buildings in the target city and the wind pressure coefficient faced by the exterior walls of the buildings in the target city are determined by the key meteorological parameters.

2. The method according to claim 1, characterized in that The comprehensive value of the environmental climate conditions of the target city is determined based on the dryness index, wind-driven rain exposure value and wind pressure coefficient according to the critic weighting method.

3. The method according to claim 1, characterized in that: Determining building wet climate zoning information based on the comprehensive value of the environmental climate condition includes: The inverse distance weighted method in arcGIS was used to interpolate the comprehensive values ​​of environmental climate conditions of all cities; According to the interpolated comprehensive value of environmental climate conditions, the natural breakpoint method is used to determine the building wet climate zoning information of the target city.

4. A building wet climate zoning device taking into account the effect of wind-driven rain on the enclosure structure, characterized in that: include: Acquisition module, used to obtain key meteorological parameters of the target area; The first determination module is used to determine the outdoor comprehensive temperature of the exterior walls of the buildings in the target city, and determine the drying index of the drying potential of the exterior walls of the buildings in the target city according to the outdoor comprehensive temperature and combined with the air humidity; A second determination module is used to determine the wind-driven rain exposure value faced by the exterior walls of the buildings in the target city and the wind pressure coefficient faced by the exterior walls of the buildings in the target city based on the key meteorological parameters; A third determination module determines a comprehensive value of the environmental climate conditions of the target city based on the dryness index, the wind-driven rain exposure value and the wind pressure coefficient; A fourth determination module is used to determine the building wet climate zoning information based on the comprehensive value of the environmental climate condition; The building wet climate zoning device taking into account the effect of wind-driven rain on the enclosure structure is used to execute the steps in any one of the methods of claims 1-3.

5. A computer-readable storage medium, characterized in that: The invention comprises a program, which, when being executed on a computer, causes the computer to execute the method according to any one of claims 1 to 3.

6. An execution device, characterized in that: comprising a processor and a memory, wherein the processor is coupled to the memory; The memory is used to store programs; The processor is configured to execute the program in the memory so that the execution device executes the method according to any one of claims 1 to 3.

Images