A curtain wall design automation software

Through the curtain wall design automation software, the use of sensors to obtain parameters and automatically draw and analyze, the problems of insufficient efficiency and intelligence of the existing curtain wall design software are solved, and efficient and accurate design processes and optimization suggestions are achieved.

CN118690472BActive Publication Date: 2024-12-13SHANGCHUAN ENG CONSULTING NANJING CO LTD
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Patent Information

Application Number
CN202411156743.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-08-22
Publication Date
2024-12-13
Estimated Expiration
2044-08-22

AI Technical Summary

Technical Problem

The existing curtain wall design software is insufficient in efficiency and accuracy, lacks intelligence, and cannot automatically detect design errors and unreasonable aspects, resulting in inefficient design.

Method used

Develop a curtain wall design automation software, including parameter acquisition module, automatic drawing module, analysis module and judgment module, obtain environmental and geometric parameters through sensors, automatically draw curtain wall components, and conduct mechanical, thermal and optical analysis to judge the design in real time. Qualification, automatic optimization of design plans.

Benefits of technology

Improves design efficiency and accuracy, reduces user operation difficulty, realizes automated design processes, can adapt to different types of building and curtain wall designs, and provide real-time feedback and optimization suggestions.

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Abstract

The present invention discloses a curtain wall design automation software, which obtains environmental parameters of curtain wall design and geometric dimensions of buildings through configured sensors, and simultaneously manually inputs material properties of the curtain wall to complete storage; automatically draws components of the curtain wall, performs mechanical analysis, thermal analysis and optical analysis on them, builds a curtain wall performance analysis module, outputs curtain wall performance reference values, builds an impact judgment formula, makes a qualified judgment on the curtain wall of the current design, and redraws it when it is judged to be unqualified until it is judged to be qualified. The present invention has a high degree of automation and can automatically complete the entire process of curtain wall design, including parameter input, drawing, analysis and optimization, without manual participation of users, greatly improving design efficiency. The software can automatically draw and analyze curtain wall components according to the parameters input by users, reducing the difficulty of user operation. The software can adapt to various types of buildings and curtain wall designs and has good versatility.
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Description

Technical Field

[0001] The present invention relates to the technical field of computer-aided design software, and in particular to curtain wall design automation software. Background Art

[0002] At present, most curtain wall design software still relies on manual operations by users, including inputting design parameters, drawing geometric figures, defining material properties, setting analysis parameters, etc. This design method is not only time-consuming but also prone to errors, because designers need to deal with a large number of details and have rich professional knowledge and experience. In addition, the manual design process lacks intelligence and cannot automatically detect potential design errors and unreasonableness, resulting in low design efficiency.

[0003] In order to improve the efficiency and accuracy of curtain wall design, it is crucial to develop an automated curtain wall design software. Such software should be able to automatically handle most of the tasks in the design process, reduce the burden on designers, and improve the quality of the design. For example, the software can automatically calculate the geometric dimensions of curtain wall components, automatically select appropriate materials according to design specifications, perform structural analysis and thermal analysis, and generate optimized design solutions. In this way, designers can focus more on creativity and decision-making rather than tedious calculations and drawing work.

[0004] In addition, automated design software can also provide real-time feedback and suggestions to help designers make better decisions during the design process. For example, the software can calculate the lighting effects, energy consumption and structural stress of the curtain wall in real time, and provide optimization suggestions based on this information. In this way, designers can iterate the design more quickly and find the best design solution.

[0005] In short, the development of an automated curtain wall design software is of great significance to improving design efficiency, accuracy and quality. This software can reduce the burden on designers, improve the innovation ability of design, and ultimately bring greater value to the construction industry. Summary of the invention

[0006] The purpose of this section is to summarize some aspects of the present invention. Some simplifications or omissions may be made in this section and the abstract of the specification and the title of the invention to avoid blurring the purpose of this section, the abstract of the specification and the title of the invention, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0007] In view of the above problems existing in the existing curtain wall design software, the present invention is proposed.

[0008] Therefore, the technical problem solved by the present invention is to solve the problem that the existing curtain wall design software is not efficient and accurate enough on the one hand, and not intelligent enough on the other hand, and cannot automatically detect potential design errors and unreasonable places.

[0009] In order to solve the above technical problems, the present invention provides the following technical solutions: a curtain wall design automation software, comprising the following modules: a parameter acquisition module, which acquires the environmental parameters of the curtain wall design and the geometric dimensions of the building through sensors configured around the building; a parameter storage module, which is wirelessly connected to the parameter acquisition module, acquires the environmental parameters of the curtain wall design and the geometric dimensions of the building, and synchronously manually inputs the material properties of the curtain wall to complete the storage; an automatic drawing module, which is wirelessly connected to the parameter storage module, automatically draws the components of the curtain wall after acquiring the geometric dimensions of the building; an analysis module, which is data-connected to the automatic drawing module, acquires the automatically drawn curtain wall components and the pre-matched curtain wall material properties, and then performs mechanical analysis, thermal analysis and optical analysis on them, acquires the mechanical bearing capacity α, thermal analysis value β and optical analysis value λ, constructs a curtain wall performance analysis module, and outputs a curtain wall performance reference value η ; A judgment module is connected with the parameter storage module and the analysis module to obtain the environmental impact factor δ and the curtain wall performance reference value η, construct an impact judgment formula, and make a qualified judgment on the curtain wall of the current design. When it is judged to be unqualified, the automatic drawing module will redraw it until it is judged to be qualified; wherein the parameters obtained by the parameter acquisition module specifically include: temperature parameters obtained by temperature sensors configured around the building, humidity parameters obtained by humidity sensors, wind speed parameters obtained by wind speed detectors, noise sound pressure parameters obtained by noise detectors, and illumination parameters obtained by illumination sensors; the geometric dimensions of the building are obtained by image sensors configured around the building; wherein the parameter storage module also includes a parameter state acquisition unit, which constructs an environmental impact model after obtaining the environmental parameters of the curtain wall design, and outputs the environmental impact factor after inputting each environmental parameter;

[0010] The environmental impact model constructed is specifically:

[0011]

[0012] Among them, δ is the environmental impact factor; A is the annual average temperature of the current area, and its unit is ℃; A max is the current annual extreme high temperature in the region, in °C; A min is the current annual extreme low temperature in the region, in °C; a is the number of days with extreme high and low temperatures, in days; B is the current annual average humidity in the region, in %; B max It is the current annual extreme high humidity in the area, and its unit is %; B min is the current area's annual extreme low humidity, in units of %; b is the number of days with extreme high humidity and extreme low humidity, in units of days; C is the current area's annual average wind speed, in units of m / s; C maxis the annual extreme wind speed in the current area, in m / s; c is the number of days with extreme wind speed, in days; D is the annual average noise pressure in the current area, in db; D max is the annual extreme noise sound pressure in the current area, in db; d is the number of days when the extreme noise sound pressure occurs, in days; E is the number of sunshine days in the current area, in days; 1.02, 1.645, 1.11, 1.22, 1.098, 1.005, 1.26, 1.39 and 2.63 are all adjustment constants; dx is an integral operation; wherein the curtain wall performance analysis module constructed is specifically as follows:

[0013]

[0014] Among them, η is the reference value of curtain wall performance; α is the mechanical bearing capacity; β is the thermal analysis value; λ is the optical analysis value; S is the area of ​​the curtain wall geometric dimensions, its unit is m 2 ; 2.44, 1.059 and 1.67 are adjustment constants; wherein the impact judgment formula is specifically:

[0015]

[0016] Among them, δ is the environmental impact factor; η is the reference value of curtain wall performance; 1.08 is the adjustment constant; and 5.77 is the reference coefficient under the current model.

[0017] As a preferred solution of the curtain wall design automation software described in the present invention, when the impact judgment formula is met, the currently designed curtain wall is qualified.

[0018] The present invention provides a curtain wall design automation software, which has the following beneficial effects:

[0019] 1. High degree of automation: This software can automatically complete the entire process of curtain wall design, including parameter input, drawing, analysis and optimization, without the need for manual user participation, greatly improving design efficiency.

[0020] 2. Intelligence: This software can automatically draw and analyze curtain wall components according to the parameters input by the user, reducing the difficulty of user operation.

[0021] 3. Flexibility: This software can adapt to various types of building and curtain wall designs and has good versatility. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0023] Figure 1 This is an overall system module diagram of the curtain wall design automation software provided by the present invention. DETAILED DESCRIPTION

[0024] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings. All other solutions obtained by ordinary personnel in this field without creative work should fall within the scope of protection of the present invention.

[0025] Currently, most curtain wall design software is not only time-consuming but also error-prone. In addition, the manual design process lacks intelligence and cannot automatically detect potential design errors and unreasonable aspects, resulting in low design efficiency.

[0026] In order to improve the efficiency and accuracy of curtain wall design, it is crucial to develop an automated curtain wall design software. Such software should be able to automatically handle most of the tasks in the design process, reduce the burden on designers, and improve the quality of the design. For example, the software can automatically calculate the geometric dimensions of curtain wall components, automatically select appropriate materials according to design specifications, perform structural analysis and thermal analysis, and generate optimized design solutions. In this way, designers can focus more on creativity and decision-making rather than tedious calculations and drawing work.

[0027] In addition, automated design software can also provide real-time feedback and suggestions to help designers make better decisions during the design process. For example, the software can calculate the lighting effects, energy consumption and structural stress of the curtain wall in real time, and provide optimization suggestions based on this information. In this way, designers can iterate the design more quickly and find the best design solution.

[0028] For details, please refer to Figure 1 The present invention provides a curtain wall design automation software, comprising the following modules:

[0029] The parameter acquisition module 100 acquires the environmental parameters of the curtain wall design and the geometric dimensions of the building through sensors arranged around the building;

[0030] The parameter storage module 200 is wirelessly connected to the parameter acquisition module 100 to obtain the environmental parameters of the curtain wall design and the geometric dimensions of the building, and simultaneously manually input the material properties of the curtain wall to complete the storage;

[0031] The automatic drawing module 300 is wirelessly connected to the parameter storage module 200, and automatically draws the components of the curtain wall after obtaining the geometric dimensions of the building;

[0032] The analysis module 400 is connected with the automatic drawing module 300, obtains the automatically drawn curtain wall components and the pre-matched curtain wall material properties, performs mechanical analysis, thermal analysis and optical analysis on them, obtains the mechanical bearing capacity α, thermal analysis value β and optical analysis value λ, constructs a curtain wall performance analysis module, and outputs a curtain wall performance reference value η;

[0033] The judgment module 500 is connected with the parameter storage module 200 and the analysis module 400 to obtain the environmental impact factor δ and the curtain wall performance reference value η, construct an impact judgment formula, and make a qualified judgment on the curtain wall of the current design. If it is judged to be unqualified, the automatic drawing module 300 will redraw it until it is judged to be qualified.

[0034] Specifically, the parameters acquired by the parameter acquisition module 100 specifically include:

[0035] Temperature parameters obtained by temperature sensors configured around the building, humidity parameters obtained by humidity sensors, wind speed parameters obtained by wind speed detectors, noise sound pressure parameters obtained by noise detectors, and light parameters obtained by light sensors;

[0036] The geometric dimensions of the building are obtained through image sensors configured around the building.

[0037] The temperature sensor, humidity sensor, wind speed detector, noise detector, light sensor and image sensor used in the present invention are all existing conventional sensor devices, and no unnecessary details are given here.

[0038] The additional additions are:

[0039] 1. Temperature detection method:

[0040] Configure temperature sensors, such as thermocouples or thermistors (such as NTC or PTC), and install them in appropriate locations in the building, such as outdoor blinds, roofs or walls.

[0041] The data from the temperature sensor is transmitted to the data acquisition system or monitoring center in real time through wired or wireless communication technology.

[0042] The temperature sensor should have high accuracy and stability, and be able to adapt to outdoor environmental conditions, such as dustproof, waterproof, and weather-resistant.

[0043] 2. Humidity detection method:

[0044] Configure humidity sensors, such as capacitive or resistive humidity sensors, and install them at appropriate locations in the building.

[0045] Similarly, the data of the humidity sensor is transmitted to the data acquisition system or monitoring center in real time through wired or wireless communication technology.

[0046] Humidity sensors should have good stability and accuracy and be able to adapt to outdoor environmental conditions.

[0047] 3. Wind speed detection method:

[0048] Configure a wind speed detector, such as a cup anemometer or ultrasonic anemometer, and install it at an appropriate location on the building.

[0049] The wind speed detector should be able to accurately measure wind speed and direction and convert them into electrical signals.

[0050] The data of the wind speed detector is transmitted to the data acquisition system or monitoring center in real time through wired or wireless communication technology.

[0051] 4. Noise detection method:

[0052] Configure noise detectors, such as sound level meters, to be installed at appropriate locations in buildings, such as near roads or airports.

[0053] Noise detectors should be able to accurately measure sound pressure levels and be calibrated according to international standards.

[0054] The data of the noise detector is transmitted to the data acquisition system or monitoring center in real time through wired or wireless communication technology.

[0055] 5. Light detection method:

[0056] Configure light sensors, such as light intensity sensors or light flux sensors, and install them at appropriate locations on the building, such as the facade or roof facing the sun.

[0057] Light sensors should be able to accurately measure incident light intensity or luminous flux and convert it into electrical signals.

[0058] The data from the light sensor is transmitted to the data acquisition system or monitoring center in real time through wired or wireless communication technology.

[0059] 6. In order to obtain the geometric dimensions of the building, the image of the building can be captured by a high-resolution image sensor configured around the building. The specific steps are as follows:

[0060] Sensor Selection and Installation:

[0061] Choose an image sensor, such as a camera or laser scanner, with a high resolution (e.g., at least 4K or higher).

[0062] Install sensors around the perimeter of the building, ensuring that all sides of the building are covered from multiple angles.

[0063] The sensor should be mounted on a stable bracket and calibrated to ensure it is accurately aimed at the building.

[0064] Data collection:

[0065] Use image sensors to capture images of buildings from all directions, including front, side, back, and top views.

[0066] If a laser scanner is used, a full-scale scan should be performed to obtain three-dimensional data of the building.

[0067] Image processing and 3D reconstruction:

[0068] Use computer vision or 3D reconstruction software to process the acquired images and extract building feature points and lines.

[0069] The 3D model of the building is reconstructed from images from multiple viewpoints using stereo vision algorithms or structure from motion (SfM) techniques.

[0070] Dimensional measurement and verification:

[0071] On the reconstructed 3D model, use specialized measurement tools to accurately measure the building's dimensions, such as height, width, length, and angles.

[0072] Compare measurements to actual engineering drawings or known building dimensions to verify measurement accuracy.

[0073] Data output and application:

[0074] Output the measurement results as digital files, such as CAD drawings or 3D models, to facilitate further design and analysis by architects and engineers.

[0075] The data can be used for building maintenance management, historical records, future planning or disaster response, etc.

[0076] Additionally, the material properties of the curtain wall can be selected from conventional curtain wall materials currently available on the market without the need for additional research and development. The present invention aims to select curtain wall materials that meet the requirements.

[0077] Furthermore, the parameter storage module 200 also includes a parameter state acquisition unit, which acquires the environmental parameters of the curtain wall design and then constructs an environmental impact model, and outputs environmental impact factors after inputting various environmental parameters;

[0078] The environmental impact model constructed is as follows:

[0079]

[0080] Among them, δ is the environmental impact factor; A is the annual average temperature of the current area, and its unit is ℃; A max is the current annual extreme high temperature in the region, in °C; A min is the current annual extreme low temperature in the region, in °C; a is the number of days with extreme high and low temperatures, in days; B is the current annual average humidity in the region, in %; B max It is the current annual extreme high humidity in the area, and its unit is %; B min is the current area's annual extreme low humidity, in units of %; b is the number of days with extreme high humidity and extreme low humidity, in units of days; C is the current area's annual average wind speed, in units of m / s; C max is the annual extreme wind speed in the current area, in m / s; c is the number of days with extreme wind speed, in days; D is the annual average noise pressure in the current area, in db; D max is the annual extreme noise sound pressure in the current area, in db; d is the number of days when extreme noise sound pressure occurs, in day; E is the annual sunshine days in the current area, in day; 1.02, 1.645, 1.11, 1.22, 1.098, 1.005, 1.26, 1.39 and 2.63 are all adjustment constants; dx is an integral operation.

[0081] It should be noted that the automatic drawing module 300 automatically draws the components of the curtain wall after obtaining the geometric dimensions of the building, which is an application of the existing conventional design CAD software and needs no further elaboration. The present invention aims to perform a qualified inspection on the designed curtain wall.

[0082] Specifically, the following technical descriptions are included:

[0083] Data input and preprocessing:

[0084] Enter the building's geometric dimensions, including building height, width, wall thickness, window and door dimensions, etc.

[0085] Perform pre-processing on input data, such as unit conversion, data validation, and error checking, to ensure data accuracy and completeness.

[0086] Geometry model establishment:

[0087] According to the geometric dimension data of the building, computer-aided design (CAD) software is used to establish a three-dimensional geometric model of the building.

[0088] The model should include the main structure of the building, windows, doors, roof and all other relevant components.

[0089] Automatic drawing of curtain wall components:

[0090] Based on the three-dimensional geometric model, the automatic drawing module 300 will automatically draw the components of the curtain wall according to the design specifications and standards of the curtain wall.

[0091] Components include curtain wall frames, supporting structures, connectors, glass panels, etc. All components should be accurately generated based on the input data.

[0092] Size and position verification:

[0093] Verify the size and position of automatically drawn curtain wall components to ensure that they meet the design requirements and the actual building geometry.

[0094] Use the CAD software’s built-in tools or third-party verification software to check size and position.

[0095] Detail adjustments and optimizations:

[0096] According to the verification results, the automatically drawn curtain wall components are adjusted and optimized in detail, such as adjusting the angle of the glass panel, adding connectors, etc.

[0097] The adjusted components should meet the structural, optical, thermal and other design requirements.

[0098] Result output:

[0099] Output the verified and optimized curtain wall component drawing results as CAD drawings or other visualization formats, such as PDF, SVG, etc.

[0100] The output can be reviewed, modified and exported by designers for use in subsequent design and construction phases.

[0101] The analysis module 400 is connected with the automatic drawing module 300, obtains the automatically drawn curtain wall components and the pre-matched curtain wall material properties, performs mechanical analysis, thermal analysis and optical analysis on them, obtains the mechanical bearing capacity α, thermal analysis value β and optical analysis value λ, constructs a curtain wall performance analysis module, and outputs a curtain wall performance reference value η;

[0102] It should be noted that the analysis and optimization module is a core module in the curtain wall design automation software. It is responsible for detailed mechanical, thermal and optical analysis of curtain wall components to ensure the structural safety, energy saving and visual effect of the curtain wall. The following are the specific steps and calculation formulas for obtaining the mechanical bearing capacity α, thermal analysis value β and optical analysis value λ (the use of conventional formulas, no need to elaborate):

[0103] a: Mechanical analysis (obtaining the mechanical bearing capacity α)

[0104] Mechanical analysis mainly includes structural static analysis and dynamic analysis, the purpose of which is to evaluate the mechanical properties of curtain wall components under various loads and ensure their safety under design loads and extreme loads.

[0105] step:

[0106] Input load data: including self-weight, wind load, snow load, earthquake action, temperature change, etc.

[0107] Geometric model establishment: Establish a finite element model based on the size and component layout of the curtain wall.

[0108] Material property definition: Define material properties for components in the model, such as elastic modulus, Poisson's ratio, yield strength, etc.

[0109] Boundary conditions and load application: Apply appropriate constraints and loads to simulate actual working conditions.

[0110] Solve: Run the solver for linear or nonlinear static or dynamic solutions.

[0111] Result evaluation: Analyze stress, displacement, yield and other results to evaluate the mechanical properties of the component.

[0112] Calculation formula:

[0113] The mechanical bearing capacity α is usually expressed by the following formula:

[0114] α = σ / S

[0115] Where σ is the maximum stress in the component and S is the stress cross-sectional area of ​​the component.

[0116] b: Thermal analysis (obtain thermal analysis value β)

[0117] The purpose of thermal analysis is to evaluate the thermal performance of curtain wall components, including heat conduction, convection, radiation and thermal resistance, so as to determine the energy saving effect and thermal comfort of the curtain wall.

[0118] step:

[0119] Input environmental parameters: including outdoor temperature, indoor temperature, solar radiation intensity, etc.

[0120] Geometric model establishment: Establish the thermal conduction model of curtain wall components, including the thermal conductivity and specific heat capacity of the material.

[0121] Boundary condition setting: Set boundary conditions, such as indoor and outdoor surface temperature, convection heat transfer coefficient, etc.

[0122] Solve: Run the thermal analysis solver to calculate the temperature distribution and heat flow within the component.

[0123] Result evaluation: Analyze thermal resistance, heat flux, heat loss and other results to evaluate the thermal performance of components.

[0124] Calculation formula:

[0125] The thermal analysis value β can be expressed by the following formula:

[0126] β = Q / (A * ΔT)

[0127] Where Q is the heat loss per unit area, A is the area of ​​the component, and ΔT is the temperature difference between indoor and outdoor.

[0128] c: Optical analysis (obtaining the optical analysis value λ)

[0129] The purpose of optical analysis is to evaluate the impact of curtain wall components on light, including transmittance, reflectivity, perspective effect, etc., in order to determine the optical performance and visual effects of the curtain wall.

[0130] step:

[0131] Input light parameters: including direct light, scattered light, indoor illumination requirements, etc.

[0132] Geometric model establishment: Establish the optical model of curtain wall components, including glass, metal panels, shading systems, etc.

[0133] Ray simulation: Use ray tracing technology to simulate the propagation path of light in the component.

[0134] Solution: Calculate the transmission, reflection, refraction and other effects of light.

[0135] Result evaluation: Analyze light distribution, visual comfort, energy-saving effects and other results, and evaluate the optical performance of components.

[0136] Calculation formula:

[0137] The optical analysis value λ can be expressed by the following formula:

[0138] λ = (Iout / Iin) * 100%

[0139] Among them, Iout is the intensity of the outgoing light after passing through the component, and Iin is the intensity of the light incident on the component.

[0140] Furthermore, the curtain wall performance analysis module is constructed as follows:

[0141]

[0142] Among them, η is the reference value of curtain wall performance; α is the mechanical bearing capacity; β is the thermal analysis value; λ is the optical analysis value; S is the area of ​​the curtain wall geometric dimensions, its unit is m 2; 2.44, 1.059 and 1.67 are adjustment constants.

[0143] Furthermore, the influence judgment formula is as follows:

[0144]

[0145] Among them, δ is the environmental impact factor; η is the reference value of curtain wall performance; 1.08 is the adjustment constant; and 5.77 is the reference coefficient under the current model.

[0146] Specifically, when the impact judgment formula is met, the currently designed curtain wall is qualified.

[0147] In order to verify the beneficial effects of the present invention, the following verification test is performed:

[0148] Test 1: Automation verification test

[0149] Purpose of the test: To verify the degree of automation of the software in the entire process of parameter input, drawing, analysis and optimization.

[0150] Test method:

[0151] Prepare different types of building and curtain wall design cases.

[0152] The software of the present invention is used for designing, and the time and operation steps of the whole design process are recorded.

[0153] Compare the time and operation steps of manual design and software design of the present invention.

[0154] Test data table:

[0155] Table 1

[0156]

[0157] Test 2: Intelligent verification test

[0158] Purpose of the test: To verify the software's ability to automatically draw and analyze curtain wall components based on user input parameters.

[0159] Test method:

[0160] Prepare curtain wall design cases with different parameters.

[0161] The software of the present invention is used to design, record and automatically draw and analyze curtain wall components.

[0162] Compare the results of manual design and software design of the present invention.

[0163] Test data table:

[0164] Table 2

[0165]

[0166] The present invention provides a curtain wall design automation software, which has the following beneficial effects:

[0167] 1. High degree of automation: This software can automatically complete the entire process of curtain wall design, including parameter input, drawing, analysis and optimization, without the need for manual user participation, greatly improving design efficiency.

[0168] 2. Intelligence: This software can automatically draw and analyze curtain wall components according to the parameters input by the user, reducing the difficulty of user operation.

[0169] 3. Flexibility: This software can adapt to various types of building and curtain wall designs and has good versatility.

[0170] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A curtain wall design automation software, characterized in that: Includes the following modules: A parameter acquisition module (100) acquires environmental parameters of curtain wall design and geometric dimensions of the building through sensors arranged around the building; The parameter storage module (200) is wirelessly connected to the parameter acquisition module (100) to acquire environmental parameters of the curtain wall design and geometric dimensions of the building, and simultaneously manually input material properties of the curtain wall to complete storage; An automatic drawing module (300) is wirelessly connected to the parameter storage module (200) to automatically draw components of the curtain wall after acquiring geometric dimensions of the building; The analysis module (400) is connected to the data of the automatic drawing module (300), obtains the automatically drawn curtain wall components and the pre-matched curtain wall material properties, performs mechanical analysis, thermal analysis and optical analysis on them, obtains the mechanical bearing capacity α, thermal analysis value β and optical analysis value λ, constructs a curtain wall performance analysis module, and outputs a curtain wall performance reference value η; The judgment module (500) is connected to the parameter storage module (200) and the analysis module (400) to obtain the environmental impact factor δ and the curtain wall performance reference value η, construct an impact judgment formula, and make a qualified judgment on the curtain wall currently designed. If it is judged to be unqualified, the automatic drawing module (300) will redraw it until it is judged to be qualified; The parameters acquired by the parameter acquisition module (100) specifically include: Temperature parameters obtained by temperature sensors configured around the building, humidity parameters obtained by humidity sensors, wind speed parameters obtained by wind speed detectors, noise sound pressure parameters obtained by noise detectors, and light parameters obtained by light sensors; The geometric dimensions of the building are obtained through image sensors arranged around the building; The parameter storage module (200) further includes a parameter state acquisition unit, which acquires environmental parameters of the curtain wall design and then constructs an environmental impact model, and outputs environmental impact factors after inputting various environmental parameters; The environmental impact model constructed is specifically: ; Among them, δ is the environmental impact factor; A is the annual average temperature of the current area, in °C; A max is the current annual extreme high temperature in the region, in °C; A min is the current area's annual extreme low temperature, in °C; a is the number of days with extreme high and low temperatures, in days; B is the current area's annual average humidity, in %; B max The current annual extreme high humidity in the area, unit: %B min is the current area's annual extreme low humidity, in units of %; b is the number of days with extreme high humidity and extreme low humidity, in units of days; C is the current area's annual average wind speed, in units of m / s; C max is the annual extreme wind speed in the current area, in m / s; c is the number of days with extreme wind speed, in days; D is the annual average noise sound pressure in the current area, in db; D max is the annual extreme noise sound pressure in the current area, in db; d is the number of days when extreme noise sound pressure occurs, in day; E is the number of sunshine days in the current area, in day; 1.02, 1.645, 1.11, 1.22, 1.098, 1.005, 1.26, 1.39 and 2.63 are all adjustment constants; dx is the integral operation; The curtain wall performance analysis module constructed is specifically: ; Among them, η is the reference value of curtain wall performance; α is the mechanical bearing capacity; β is the thermal analysis value; λ is the optical analysis value; S is the area of ​​the curtain wall geometric dimensions, unit is m 2 ; 2.44, 1.059 and 1.67 are adjustment constants; Among them, the mechanical bearing capacity α is expressed by the following formula: ; Where, σ is the maximum stress in the component; S is the stress cross-sectional area of ​​the component; Among them, the thermal analysis value β is expressed by the following formula: ; Where Q is the heat loss per unit area; A is the area of ​​the component; ΔT is the temperature difference between indoor and outdoor; The optical analysis value λ is expressed by the following formula: ; Where Iout is the intensity of the light emitted after passing through the component; Iin is the intensity of the light incident on the component; The impact judgment formula is specifically: ; Among them, δ is the environmental impact factor; η is the reference value of curtain wall performance; 1.08 is the adjustment constant; and 5.77 is the reference coefficient under the current model.

2. The curtain wall design automation software according to claim 1, characterized in that: When the impact judgment formula is met, the currently designed curtain wall is qualified.