Green data center facade facing material aided design system and method

Abstract

The invention relates to a green data center facade facing material aided design system and method. The system is developed based on a Visual Basic programming language, adopts a Windows application program architecture, and comprises a material data management module used for collecting and sorting basic data of exterior facing materials and providing dynamic classification and keyword retrieval functions of the materials; the material combination and cost calculation module is used for obtaining comprehensive cost information by combining material market price information according to the material combination configured by the user, the proportion of each material and the selection condition of the thermal insulation material; the visual display module is used for configuring a high-definition picture and detailed attribute description for each material so that a user can click the picture to check detailed attribute information of the material, and providing three-dimensional effect display of the material; and the design auxiliary module is used for providing a rapid comparison function of design schemes, and comparing the cost and effect of different schemes based on the real-time adjustment of material combination and proportion or thermal insulation material selection of a user.

Description

Technical Field

[0001] This disclosure relates to the fields of green building and building information technology, as well as deep learning in artificial intelligence, and in particular to an auxiliary design system and method for green data center facade cladding materials. Background Technology

[0002] With the advancement of the "dual-carbon" strategy, the demand for green data center construction is growing rapidly. Data center facade design not only needs to meet functional requirements but also needs to consider aesthetics and cost-effectiveness. In traditional design processes, designers need to manually collect and analyze a large amount of information on the performance and cost of exterior materials, relying on traditional manual calculations and material research, resulting in long design cycles, low efficiency, and a high risk of errors. Therefore, there is an urgent need for an intelligent and visual auxiliary tool to solve these problems. Summary of the Invention

[0003] This disclosure provides a green data center facade cladding material auxiliary design system and method, which can solve the problems of long design cycle, low efficiency and easy error caused by relying on traditional manual calculation and material research in the traditional design process.

[0004] In a first aspect, embodiments of this disclosure provide an auxiliary design system for green data center facade finishing materials. The system is developed based on the Visual Basic programming language and adopts a Windows application architecture. The system includes: The material data management module is used to collect and organize basic data of exterior surface materials, store the basic data of the materials in the database, and provide dynamic classification and keyword retrieval functions for the materials to support keyword search and category browsing. The basic data includes material characteristic information, advantages and disadvantages information, and application scenario information. The material combination and cost calculation module provides a material combination and calculation interface. The material combination and calculation interface includes optional configuration items for exterior finishing materials and optional configuration items for thermal insulation materials. The optional configuration items for material combinations include at least material type configuration parameters, material name configuration parameters, and usage ratio configuration parameters. The optional configuration items for thermal insulation materials include at least thermal insulation material type configuration parameters and material thickness configuration parameters. The material combination and cost calculation module is also used to obtain comprehensive cost information for the corresponding design scheme based on the material combination configured by the user, the proportion of each material, the selection of insulation materials, and material market price information. The visualization module is used to configure high-definition images and detailed property descriptions for each material, allowing users to click on the images to view detailed material property information and providing a 3D effect display of the material. The design assistance module has built-in multiple design specifications and cost calculation rules to provide a quick comparison function for design schemes. Based on the user's real-time adjustments to material combinations, proportions, or insulation material selection, it compares the cost and effects of different schemes.

[0005] In a second aspect, embodiments of this disclosure provide an auxiliary design method for green data center facade finishing materials. The method is implemented based on the system described in the first aspect above, and includes: A material combination and material calculation interface is provided. The material combination and material calculation interface includes optional configuration items for exterior cladding materials and optional configuration items for thermal insulation materials. The optional configuration items for material combination include at least material type configuration parameters, material name configuration parameters, and usage ratio configuration parameters. The optional configuration items for thermal insulation materials include at least thermal insulation material type configuration parameters and material thickness configuration parameters. Based on the material combination configured by the user through the material combination and material calculation interface, the proportion of each material, and the selection of insulation materials, combined with material market price information, the comprehensive cost information of the corresponding design scheme is obtained; Each material is provided with a high-resolution image and detailed property description, allowing users to click on the image to view detailed material property information, and also providing a 3D effect display of the material; Based on the various design specifications and cost calculation rules built into the design assistance module, it provides a quick comparison function for design schemes, and compares the cost and effect of different schemes based on the user's real-time adjustment of material combinations, proportions or insulation material selection.

[0006] Thirdly, embodiments of this disclosure provide an electronic device, including: One or more processors; The processor is used to invoke instructions to cause the electronic device to perform the method described in the first aspect above.

[0007] Fourthly, embodiments of this disclosure provide a storage medium storing instructions that, when executed on an electronic device, cause the electronic device to perform the method described in the first aspect above.

[0008] Fifthly, embodiments of this disclosure provide a program product including at least one of a program and instructions, wherein when the program and instructions are executed by an electronic device, they implement the steps of the method described in the first aspect.

[0009] According to the technical solution disclosed herein, a comprehensive material database is constructed by organizing and analyzing basic data on various materials suitable for green data center facades in the market through a material data management module. This data includes material properties, advantages and disadvantages, and application scenarios. Using the Visual Basic programming language and a visual programming interface, an easy-to-operate, efficient, and stable Windows application was developed, ensuring ease of operation and system stability. It provides a user-friendly interface and a stable operating environment, reducing user learning costs and improving system reliability. The application automatically calculates the cost of multiple material combinations through programming, supporting material ratio adjustments and the selection of different insulation materials, thus improving design flexibility and accuracy. Material attribute information and 3D effect displays can be dynamically loaded, allowing users to quickly obtain the necessary information through interactive operations, enhancing the user experience. This solution addresses the problems of long design cycles, low efficiency, and susceptibility to errors caused by reliance on traditional manual calculations and material research in traditional design processes. It supports rapid comparison of various design schemes and allows for real-time adjustment of material combinations, proportions, or insulation material selection. The system will immediately update the cost and effect display of different schemes, enabling users to quickly compare the advantages and disadvantages of different schemes, thereby assisting them in making the best decision, effectively controlling the total cost and effect of the facade, shortening the design cycle, and improving efficiency.

[0010] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0011] The accompanying drawings, which are incorporated in and form a part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure.

[0012] Figure 1 This is a block diagram illustrating a green data center facade cladding material auxiliary design system according to an exemplary embodiment.

[0013] Figure 2 This is an example diagram illustrating a material combination and material calculation interface according to an exemplary embodiment.

[0014] Figure 3 This is an example diagram illustrating a detailed display interface of material properties according to an exemplary embodiment.

[0015] Figure 4 This is a block diagram illustrating a green data center facade cladding material auxiliary design system according to an exemplary embodiment.

[0016] Figure 5 This is a block diagram illustrating a green data center facade cladding material auxiliary design system according to an exemplary embodiment.

[0017] Figure 6 This is a flowchart illustrating an exemplary design method for green data center facade cladding materials.

[0018] Figure 7 This is a block diagram of an electronic device according to an embodiment of the present disclosure. Detailed Implementation

[0019] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this disclosure as detailed in the appended claims.

[0020] This disclosure is not exhaustive, but merely illustrative of some embodiments, and is not intended to limit the scope of protection of this disclosure. Unless otherwise specified, each step in a particular embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a particular embodiment can also be implemented as an independent embodiment, and the order of the steps in a particular embodiment can be arbitrarily interchanged. Furthermore, the optional implementation methods in a particular embodiment can be arbitrarily combined; moreover, the embodiments can be arbitrarily combined, for example, some or all steps of different embodiments can be arbitrarily combined, and a particular embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0021] In each of the disclosed embodiments, unless otherwise specified or in case of logical conflict, the terminology and / or descriptions of the embodiments are consistent and can be referenced by each other. Technical features in different embodiments can be combined to form new embodiments based on their inherent logical relationships.

[0022] It should be noted that the acquisition, transmission, storage, use, and processing of data in this disclosed technical solution comply with the relevant provisions of national laws and regulations and do not violate public order and good morals.

[0023] It should be noted that the information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data used for analysis, data stored, data displayed, etc.) and signals involved in this disclosure are all authorized by the user or fully authorized by all parties, and the collection, use and processing of related data must comply with the relevant laws, regulations and standards of the relevant countries and regions.

[0024] It is worth noting that in the embodiments disclosed herein, certain software, components, models, and other existing solutions in the industry may be mentioned. These should be considered as exemplary, and their purpose is only to illustrate the feasibility of implementing the technical solutions disclosed herein. However, this does not mean that the applicant has used or necessarily used such solutions.

[0025] With the advancement of the "dual-carbon" strategy, the demand for green data center construction is increasing daily. Data center facade design not only needs to meet functional requirements but also needs to consider aesthetics and cost-effectiveness. In traditional design processes, designers need to manually collect and analyze a large amount of information on the performance and cost of exterior finishing materials, resulting in long design cycles, low efficiency, and difficulty in quickly comparing multiple options. Especially under tight project schedules, designers need a tool that can quickly calculate the cost of multiple material combinations and provide material property comparisons to improve design efficiency and ensure the feasibility of design solutions.

[0026] Currently, the market lacks specialized tools for material selection, cost estimation, and calculation specifically for green data center facade design. Designers still rely on traditional manual calculations and material research, which is inefficient and prone to errors. Therefore, there is an urgent need for an intelligent and visual auxiliary tool to solve these problems.

[0027] To support the accelerated development of the "dual-carbon" strategy, the demand for and construction of ultra-large-scale data centers and new industrialized data centers are constantly increasing. Construction companies are also placing increasingly higher demands on the quality of data center facades, requiring not only high-performance electromechanical systems but also the creation of "the most beautiful data centers" that meet international standards. Furthermore, the design and cost of the building facade must be closely linked, requiring real-time monitoring of costs using one or more methods. Under tight project schedules, project teams often need to conduct multiple rounds of comparisons across various options, posing considerable challenges and workload for both architectural and economic professionals. Against this backdrop, this publication researches various exterior finishing materials currently available on the market, along with compliant and compatible insulation materials. By selecting one or more materials, relevant basic data can be retrieved, and after free combination, the comprehensive unit price can be calculated, effectively controlling the total cost and aesthetic effect of the facade.

[0028] It should be noted that the green data center facade cladding material auxiliary design system and method provided in this disclosure aims to provide green data center facade design with free material selection and construction, visualized performance parameters, advantages and disadvantages and applicable scenarios, etc., intelligent cost calculation and scheme optimization auxiliary design system and method, based on design principles. It can also expand the auxiliary design module according to the continuous updates of new materials and technologies, and can be developed into a Windows application using the Visual Basic programming language.

[0029] The following description, with reference to the accompanying drawings, illustrates an embodiment of a green data center facade cladding material auxiliary design system and method.

[0030] Figure 1 This is a block diagram illustrating a green data center facade cladding material auxiliary design system according to an exemplary embodiment. It should be noted that the green data center facade cladding material auxiliary design system disclosed in this embodiment is developed based on the Visual Basic programming language and adopts a Windows application architecture. Figure 1 As shown, the green data center facade material auxiliary design system may include, but is not limited to: material data management module 101, material combination and cost calculation module 102, visualization display module 103 and design assistance module 104.

[0031] The material data management module 101 is used to collect and organize basic data on exterior finishing materials, store the basic data of the materials in a database, and provide dynamic classification and keyword search functions to support keyword search and category browsing. This basic data may include, but is not limited to, material characteristic information, advantages and disadvantages information, and application scenario information.

[0032] For example, the material data management module 101 can store basic data on various exterior finishing materials (such as paint, facing bricks, flexible materials, integrated insulation and decoration panels, curtain walls, etc.), which may include information such as material characteristics, advantages and disadvantages, and application scenarios. The material data management module 101 also supports dynamic material classification and retrieval functions, allowing users to quickly find the materials they need through keywords, such as keyword search and category browsing.

[0033] Optionally, in some embodiments, the material data management module can also be used to: collect design scheme data from different sources; extract information from unstructured data using Natural Language Processing (NLP) technology to obtain structured data; and dynamically update material information in the database based on the structured data. In other words, it can support dynamic updates to the material database, expanding and optimizing it as new materials emerge. For example, after the system is released, a new type of "self-cleaning nano-coating" with excellent stain resistance and durability appears on the market. The dynamic update function can be used to input information such as the characteristics, advantages, disadvantages, application scenarios, and costs of this new material into the material database. In subsequent designs, this new coating can be found and selected in the system and included in the scheme comparison, thereby designing a more advanced data center facade that better meets market demands.

[0034] The material combination and cost calculation module 102 provides a material combination and calculation interface, which may include, but is not limited to, optional configuration items for exterior finishing materials and optional configuration items for insulation materials. For example, such as Figure 2 As shown, the material combination and material calculation interface may include optional configuration items 201 for exterior finish materials and 202 for thermal insulation materials. Figure 2 As shown, the optional configuration item 201 of the material combination may include, but is not limited to, material type configuration parameters, material name configuration parameters, and usage ratio configuration parameters, and the optional configuration item 202 of the insulation material may include, but is not limited to, insulation material type configuration parameters and material thickness configuration parameters.

[0035] It should be noted that in some embodiments, the quantity of materials in the optional configuration item of the material combination in the material combination and material calculation interface is determined by the quantity of materials provided by the user. For example, such as Figure 2 The quantities of materials 1, 2, and 3 shown are based on the user-provided quantity of 3 materials. Therefore, the material data in the optional configuration items for this material combination in the material combination and calculation interface can be 3, such as "Material 1", "Material 2", and "Material 3". If the user provides 4 materials, the material data in the optional configuration items for this material combination will be 4, such as "Material 1", "Material 2", "Material 3", and "Material 4". Each material in this optional configuration item includes material type configuration parameters, material name configuration parameters, and usage ratio configuration parameters.

[0036] like Figure 2 As shown, the material combination and material calculation interface may also include an optional configuration item 202 for thermal insulation materials, which can support whether to use thermal insulation materials and support the selection of different types of thermal insulation materials and machine thicknesses to ensure the energy-saving requirements of the design scheme.

[0037] In the embodiments of this disclosure, the material combination and cost calculation module 102 can also be used to obtain the comprehensive cost information of the corresponding design scheme based on the material combination configured by the user, the proportion of each material, and the selection of insulation materials, combined with material market price information. For example, the user can configure the material combination, usage ratio, and selection of insulation materials on the material combination and cost calculation interface. The material combination and cost calculation module 102 can calculate the comprehensive cost of the corresponding design scheme based on the material combination configured by the user, the proportion of each material, and the selection of insulation materials, combined with material market price information.

[0038] Optionally, in some embodiments, the material combination and cost calculation module 102 can also calculate the corresponding combined investment unit price based on the material combination configured by the user, the proportion of each material, and the selection of insulation materials, combined with material market price information. Optionally, the combined investment unit price can be displayed on the material combination and material calculation interface, so that users can intuitively understand the investment unit price of the current material combination design scheme and effectively control the total cost and effect of the facade.

[0039] The visualization module 103 is used to configure high-resolution images and detailed attribute descriptions for each material, allowing users to click on the images to view detailed material attribute information and providing a 3D effect display of the material. For example, the visualization module 103 can be configured with high-resolution images and detailed attribute descriptions for each material. Users can click on the material image to view detailed attribute information such as material characteristics, construction conditions, and applicable scenarios. In other words, the visualization module 103 can display the properties and effects of materials through a combination of text and images. For example, when a user clicks on a material image... Figure 2 The image shown illustrates the decorative effect of "Material 3," the product name "Dry-hanging Stone Curtain Wall," as shown below. Figure 3 As shown, the interface provides users with a detailed display of material properties, including information such as structural layers, total thickness, construction period, durability, construction conditions, applicability (also known as applicable scenarios), and advantages of the "dry-hanging stone curtain wall." Optionally, the visualization module 103 can also support 3D effect display of the material to help users more intuitively evaluate its decorative effect.

[0040] The design assistance module 104 incorporates various design specifications and cost calculation rules to provide a quick comparison function for design schemes. Based on the user's real-time adjustments to material combinations, proportions, or insulation material selection, it compares the cost and effects of different schemes.

[0041] For example, the design assistance module 104 incorporates multiple design specifications and cost calculation rules to ensure the standardization and accuracy of cost calculations. The design assistance module 104 provides a rapid comparison function for design schemes, allowing users to adjust material combinations in real time, compare the costs and effects of different schemes, and assist in decision-making. For example, for each design scheme to be compared, based on a preset evaluation system and key indicators across multiple dimensions, feature information can be extracted from the design scheme to be compared. The score value for each dimension is determined based on this feature information, and the comprehensive score of the design scheme to be compared is calculated based on the score values ​​for each dimension. For example, the score values ​​for each dimension can be summed or weighted to obtain the comprehensive score. These multiple dimensions may include economic efficiency (such as key indicators including initial cost), technical performance (such as key indicators including structural strength, thermal insulation performance, fire resistance rating, and implicit carbon content), construction (such as key indicators including construction period and on-site wet work), and design (such as key indicators including degree of freedom in form).

[0042] It is worth noting that the core function of the design assistance module is key to solving the problem of insufficient linkage between cost and effect. The design assistance module provides a rapid comparison function for design schemes, and based on the user's real-time adjustments to material combinations, proportions, or insulation material selection, it compares the cost and effect of different schemes. This technology significantly improves the efficiency of design scheme optimization and the quality of decision-making. Users can adjust parameters such as material type, proportion, or insulation material in real time, and the system will immediately update and display the comprehensive cost and visual effect of different schemes. This instant feedback and comparison capability allows users to quickly evaluate the advantages and disadvantages of multiple schemes, find the optimal balance between aesthetics, energy saving, and economy, effectively control the total cost and effect of the facade, and significantly shorten the design cycle.

[0043] In the above embodiments, a comprehensive material database is constructed by organizing and analyzing basic data on various materials suitable for green data center facades on the market through a material data management module. This data includes material properties, advantages and disadvantages, and application scenarios. Using the Visual Basic programming language and a visual programming interface, an easy-to-use, efficient, and stable Windows application was developed, ensuring ease of operation and system stability. It provides a user-friendly interface and a stable operating environment, reducing user learning costs and improving system reliability. The application enables automatic cost calculation for multiple material combinations, supports material ratio adjustments and the selection of different insulation materials, improving design flexibility and accuracy. Material attribute information and 3D effect displays can be dynamically loaded, allowing users to quickly obtain the necessary information through interactive operations, enhancing the user experience. This approach solves the problems of long design cycles, low efficiency, and susceptibility to errors caused by reliance on traditional manual calculations and material research in traditional design processes. It supports rapid comparison of various design schemes and allows for real-time adjustment of material combinations, proportions, or insulation material selection. The system will immediately update the cost and effect display of different schemes, enabling users to quickly compare the advantages and disadvantages of different schemes, thereby assisting them in making the best decision, effectively controlling the total cost and effect of the facade, shortening the design cycle, and improving efficiency.

[0044] Optionally, in some embodiments, based on the above embodiments, such as Figure 4 As shown, the green data center facade cladding material auxiliary design system may also include: a climate environment database module 405 and a material durability prediction model module 406. Among them, Figure 4 401-404 and Figure 1 101-104 in the series have the same function and structure.

[0045] The climate environment database module 405 is used to collect and store detailed climate data for multiple climate zones, and based on the location of the data center project selected by the user, it retrieves and loads the climate characteristic data of the data center project location from the climate environment database as input parameters for material durability prediction.

[0046] For example, the climate and environment database module 405 can collect and store detailed climate data for major global climate zones (such as high-altitude, high-humidity, strong wind and sandstorm, high ultraviolet radiation, etc.), which may include annual average temperature, extreme temperatures, humidity, rainfall, wind speed, ultraviolet radiation intensity, and sandstorm frequency. Data sources may include publicly available meteorological data, satellite remote sensing data, and historical climate model data. When the user selects the location of the data center project, the system will automatically retrieve and load the climate characteristic data of that region from the climate and environment database as input parameters for subsequent material durability prediction.

[0047] The material durability prediction model module 406 is used to calculate the decay curve of key performance indicators of the selected material under specific climatic conditions over time by running corresponding durability prediction algorithms, based on material property data from the material data management module and climate characteristic data from the climate environment database module, and to predict the expected life of the selected material when it reaches the maintenance threshold. The material durability prediction model has a series of material durability prediction algorithms based on physical models and empirical data to model the performance decay mechanism of different types of exterior finishing materials under specific climatic conditions.

[0048] For example, the material durability prediction model module 406 can incorporate a series of material durability prediction algorithms based on physical models and empirical data. These algorithms will model the performance degradation mechanisms of different types of exterior finishing materials (such as paints, facing bricks, curtain walls, etc.) under specific climatic environments, including aging, corrosion, cracking, and fading. For example, for paints, models can be established to assess the impact of ultraviolet radiation and temperature and humidity cycles on coating life; for curtain walls, models can be established to assess the impact of wind pressure and sand and dust abrasion on sealant and panel surfaces.

[0049] For example, the material durability prediction model module 406 can receive material property data from the material data management module and climate environment data from the climate environment database module. By running the corresponding durability prediction algorithm, it calculates the decay curve of the key performance indicators (such as color retention rate, surface integrity, adhesion, etc.) of the selected material over time under specific climatic conditions, and predicts its expected lifespan when it reaches the maintenance threshold (such as the need for renovation or replacement). Thus, it can predict the long-term performance degradation and expected lifespan of facade materials under different climatic conditions, further assisting users in decision-making.

[0050] Optionally, in some embodiments, based on the above embodiments, such as Figure 5 As shown, the green data center facade cladding material auxiliary design system may also include: a long-term maintenance cost estimation module 507. Among them, Figure 5 501-506 and Figure 4 401-406 in the series have the same function and structure.

[0051] Among them, the long-term maintenance cost estimation module 507 is used to store the unit cost data of maintenance activities for various exterior surface materials, and combine the expected life and decay curve of materials output by the material durability prediction model module, as well as the preset maintenance strategy information, to estimate the total maintenance cost of different material combinations during the project life cycle, and incorporate the total maintenance cost into the evaluation of comprehensive cost information.

[0052] For example, the long-term maintenance cost estimation module 507 stores unit cost data for maintenance activities such as repair, replacement, and cleaning of various exterior finish materials, and estimates the total maintenance cost over the entire life cycle by combining the expected lifespan and degradation curve of the materials. Based on the expected lifespan and degradation of materials output by the material durability prediction model module, and preset maintenance strategies (such as surface cleaning every 5 years, partial repairs every 10 years, and complete replacement after the lifespan is reached), the long-term maintenance cost estimation module 507 will automatically calculate the total maintenance cost of different material combinations over the project life cycle and incorporate it into the total cost assessment.

[0053] Optionally, in some embodiments, the design assistance module can also be used to: based on the material combination selected by the user in the material combination and cost calculation module, call the data and results of the climate environment database module, the material durability prediction model module and the long-term maintenance cost estimation module, and intuitively display the expected material life, performance degradation trend and full life cycle maintenance cost of each scheme under the extreme climate conditions of the data center project location in the scheme comparison interface.

[0054] For example, when a user selects a material combination in the material combination and cost calculation module, the system not only displays the initial cost and short-term effects, but also calls upon data and results from the climate environment database module, material durability prediction model module, and long-term maintenance cost estimation module. The system then visually displays the expected lifespan of materials, performance degradation trend graphs, and total life-cycle maintenance costs for each solution under extreme climatic conditions at the project location in the scheme comparison interface. Users can clearly see the performance and economic differences of different material combinations in long-term use, enabling them to make a more comprehensive trade-off and optimal decision between initial investment, aesthetic effects, energy-saving performance, and long-term maintenance costs. Therefore, by deeply optimizing the material data management module and design support module, and introducing climate environment simulation and material durability prediction functions, the specific technical problem of "inaccurate prediction of long-term performance degradation and maintenance costs of facade materials under extreme climates" in green data center facade design can be solved.

[0055] Figure 6 This is a flowchart illustrating a method for assisting in the design of green data center facade cladding materials according to an exemplary embodiment. It should be noted that this method can be implemented based on the green data center facade cladding material assisting design system in any of the foregoing system embodiments. The function and structure of this green data center facade cladding material assisting design system can be referred to the above. Figures 1 to 5 The description of the illustrated embodiment will not be repeated here.

[0056] like Figure 6As shown, the auxiliary design method for the exterior facade cladding material of this green data center may include, but is not limited to, the following steps.

[0057] In step 601, a material combination and material calculation interface is provided. The material combination and material calculation interface includes optional configuration items for the material combination of the exterior finish and optional configuration items for the insulation material. The optional configuration items for the material combination include at least material type configuration parameters, material name configuration parameters, and usage ratio configuration parameters. The optional configuration items for the insulation material include at least insulation material type configuration parameters and material thickness configuration parameters.

[0058] In step 602, based on the material combination configured by the user through the material combination and material calculation interface, the proportion of each material, and the selection of insulation materials, combined with material market price information, the comprehensive cost information of the corresponding design scheme is obtained.

[0059] In step 603, high-resolution images and detailed property descriptions are provided for each material so that users can click on the images to view detailed material property information and a 3D effect display of the material is provided.

[0060] In step 604, based on the various design specifications and cost calculation rules built into the design assistance module, a quick comparison function for design schemes is provided, and the cost and effect of different schemes are compared based on the user's real-time adjustment of material combination, proportion or insulation material selection.

[0061] Optionally, in some embodiments, based on the location of the data center project selected by the user, climate characteristic data of the data center project location is retrieved from the climate environment database and loaded as input parameters for material durability prediction; based on the material property data from the material data management module and the climate characteristic data from the climate environment database module, the decay curve of the key performance indicators of the selected material under specific climatic conditions over time is calculated by running the corresponding durability prediction algorithm, and the expected life of the selected material when it reaches the maintenance threshold is predicted; wherein, the material durability prediction model has built-in a series of material durability prediction algorithms based on physical models and empirical data to model the performance decay mechanism of different types of exterior finishing materials under specific climatic environments.

[0062] Optionally, in some embodiments, based on the unit cost data of maintenance activities for various exterior finishing materials stored in the long-term maintenance cost estimation module, combined with the expected lifespan and decay curves of materials output by the material durability prediction model module, and preset maintenance strategy information, the total maintenance cost of different material combinations during the project lifecycle is estimated, and the total maintenance cost is incorporated into the evaluation of comprehensive cost information.

[0063] Optionally, in some embodiments, an auxiliary module is designed to call the data and results from the climate environment database module, the material durability prediction model module, and the long-term maintenance cost estimation module based on the material combination selected by the user in the material combination and cost calculation module. The interface then displays the expected material life, performance degradation trend, and full life cycle maintenance cost of each solution under the extreme climate conditions at the location of the data center project in a visually intuitive way.

[0064] Regarding the methods in the above embodiments, the specific manner in which each step is performed has been described in detail in the embodiments of the system, and will not be elaborated here.

[0065] According to embodiments of this disclosure, this disclosure also provides an electronic device and a readable storage medium.

[0066] like Figure 7 The diagram shown is a block diagram of an electronic device according to an embodiment of the present disclosure. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices; for example, the electronic device may be an AR device, etc. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0067] like Figure 7 As shown, the electronic device includes one or more processors 701, a memory 702, and interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The components are interconnected via different buses and can be mounted on a common motherboard or otherwise as required. The processors can process instructions executed within the electronic device, including instructions stored in or on memory to display graphical information of a GUI on an external input / output device (such as a display device coupled to the interface). In other embodiments, multiple processors and / or multiple buses can be used with multiple memories and multiple memory modules, if desired. Similarly, multiple electronic devices can be connected, each providing some of the necessary operations (e.g., as a server array, a group of blade servers, or a multiprocessor system). Figure 7 Take the 701 processor as an example.

[0068] The memory 702 is the non-transitory computer-readable storage medium provided in this disclosure. The memory stores instructions executable by at least one processor to cause the at least one processor to perform the green data center facade cladding material auxiliary design method provided in this disclosure. The non-transitory computer-readable storage medium of this disclosure stores computer instructions for causing a computer to perform the green data center facade cladding material auxiliary design method provided in this disclosure.

[0069] Memory 702, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as the program instructions / modules corresponding to the green data center facade finishing material auxiliary design method in this disclosure embodiment (e.g., attached...). Figure 1 The material data management module 101, material combination and cost calculation module 102, visualization module 103, and design assistance module 104 shown are included, but are not limited to. The processor 701 executes various server functions and data processing by running non-transient software programs, instructions, and modules stored in the memory 702, thereby realizing the green data center facade cladding material auxiliary design method in the above method embodiment.

[0070] The memory 702 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the electronic device. Furthermore, the memory 702 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory 702 may optionally include memory remotely located relative to the processor 701, and these remote memories can be connected to the electronic device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0071] The electronic device may also include an input device 703 and an output device 704. The processor 701, memory 702, input device 703, and output device 704 can be connected via a bus or other means. Figure 7 Taking the example of a connection between China and Israel via a bus.

[0072] Input device 703 can receive input numerical or character information, and generate key signal inputs related to user settings and function control of the electronic device, such as touch screens, keypads, mice, trackpads, touchpads, joysticks, one or more mouse buttons, trackballs, joysticks, etc. Output device 704 may include display devices, auxiliary lighting devices (e.g., LEDs), and haptic feedback devices (e.g., vibration motors). The display device may include, but is not limited to, liquid crystal displays (LCDs), light-emitting diode (LED) displays, and plasma displays. In some embodiments, the display device may be a touch screen.

[0073] Various implementations of the systems and techniques described herein can be implemented in digital electronic circuit systems, integrated circuit systems, application-specific integrated circuits (ASICs), computer hardware, firmware, software, and / or combinations thereof. These various implementations may include: implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0074] These computational programs (also referred to as programs, software, software applications, or code) include machine instructions for a programmable processor and can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. As used herein, the terms “machine-readable medium” and “computer-readable medium” refer to any computer program product, device, and / or apparatus (e.g., disk, optical disk, memory, programmable logic device (PLD)) used to provide machine instructions and / or data to a programmable processor, including machine-readable media that receive machine instructions as machine-readable signals. The term “machine-readable signal” refers to any signal used to provide machine instructions and / or data to a programmable processor.

[0075] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0076] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), the Internet, and blockchain networks.

[0077] Computer systems can include clients and servers. Clients and servers are generally geographically separated and typically interact via communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. A server can be a cloud server, also known as a cloud computing server or cloud host, a hosting product within the cloud computing service system that addresses the shortcomings of traditional physical hosts and VPS (Virtual Private Server) services, such as high management difficulty and weak business scalability. Servers can also be servers for distributed systems or servers incorporating blockchain technology.

[0078] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the following claims.

[0079] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

Claims

1. A green data center facade cladding material auxiliary design system, characterized in that, The system is developed based on the Visual Basic programming language and adopts a Windows application architecture. The system includes: The material data management module is used to collect and organize basic data of exterior surface materials, store the basic data of the materials in the database, and provide dynamic classification and keyword retrieval functions for the materials to support keyword search and category browsing. The basic data includes material characteristic information, advantages and disadvantages information, and application scenario information. The material combination and cost calculation module provides a material combination and calculation interface. The material combination and calculation interface includes optional configuration items for exterior finishing materials and optional configuration items for thermal insulation materials. The optional configuration items for material combinations include at least material type configuration parameters, material name configuration parameters, and usage ratio configuration parameters. The optional configuration items for thermal insulation materials include at least thermal insulation material type configuration parameters and material thickness configuration parameters. The material combination and cost calculation module is also used to obtain comprehensive cost information for the corresponding design scheme based on the material combination configured by the user, the proportion of each material, the selection of insulation materials, and material market price information. The visualization module is used to configure high-definition images and detailed property descriptions for each material, allowing users to click on the images to view detailed material property information and providing a 3D effect display of the material. The design assistance module has built-in multiple design specifications and cost calculation rules to provide a quick comparison function for design schemes. Based on the user's real-time adjustments to material combinations, proportions, or insulation material selection, it compares the cost and effects of different schemes.

2. The system according to claim 1, characterized in that, The material data management module is also used for: Design scheme data from different sources are collected. For unstructured data, information is extracted using natural language processing (NLP) technology to obtain structured data. The material information in the database is then dynamically updated based on the structured data.

3. The system according to claim 1 or 2, characterized in that, The system also includes: The climate environment database module is used to collect and store detailed climate data from multiple climate zones, and based on the location of the data center project selected by the user, it retrieves and loads the climate characteristic data of the data center project location from the climate environment database as input parameters for material durability prediction. The material durability prediction model module is used to calculate the decay curve of key performance indicators of the selected material under specific climatic conditions over time by running corresponding durability prediction algorithms, based on material property data from the material data management module and climate characteristic data from the climate environment database module, and to predict the expected lifespan of the selected material when it reaches the maintenance threshold. The material durability prediction model incorporates a series of material durability prediction algorithms based on physical models and empirical data to model the performance decay mechanism of different types of exterior finishing materials under specific climatic conditions.

4. The system according to claim 3, characterized in that, The system also includes; The long-term maintenance cost estimation module is used to store the unit cost data of maintenance activities for various exterior finishing materials, and combine the expected life and decay curves of materials output by the material durability prediction model module, as well as the preset maintenance strategy information, to estimate the total maintenance cost of different material combinations during the project life cycle, and incorporate the total maintenance cost into the evaluation of the comprehensive cost information.

5. The system according to claim 4, characterized in that, The design assistance module is also used for: Based on the material combination selected by the user in the material combination and cost calculation module, the data and results from the climate environment database module, the material durability prediction model module, and the long-term maintenance cost estimation module are called. The solution comparison interface intuitively displays the expected material life, performance degradation trend, and full life cycle maintenance cost of each solution under the extreme climate conditions of the data center project location.

6. A method for auxiliary design of green data center facade cladding materials, characterized in that, The method is implemented based on the system as described in any one of claims 1-5, and the method includes: A material combination and material calculation interface is provided. The material combination and material calculation interface includes optional configuration items for exterior cladding materials and optional configuration items for thermal insulation materials. The optional configuration items for material combination include at least material type configuration parameters, material name configuration parameters, and usage ratio configuration parameters. The optional configuration items for thermal insulation materials include at least thermal insulation material type configuration parameters and material thickness configuration parameters. Based on the material combination configured by the user through the material combination and material calculation interface, the proportion of each material, and the selection of insulation materials, combined with material market price information, the comprehensive cost information of the corresponding design scheme is obtained; Each material is provided with a high-resolution image and detailed property description, allowing users to click on the image to view detailed material property information, and also providing a 3D effect display of the material; Based on the various design specifications and cost calculation rules built into the design assistance module, it provides a quick comparison function for design schemes, and compares the cost and effect of different schemes based on the user's real-time adjustment of material combinations, proportions or insulation material selection.

7. The method according to claim 6, characterized in that, The method further includes: Based on the location of the data center project selected by the user, climate characteristic data of the location of the data center project will be retrieved from the climate environment database and loaded as input parameters for material durability prediction. Based on the material property data from the material data management module and the climate characteristic data from the climate environment database module, the degradation curve of the key performance indicators of the selected material under specific climatic conditions over time is calculated by running the corresponding durability prediction algorithm, and the expected life of the selected material when it reaches the maintenance threshold is predicted. The material durability prediction model incorporates a series of material durability prediction algorithms based on physical models and empirical data to model the performance degradation mechanism of different types of exterior finishing materials under specific climatic conditions.

8. An electronic device, characterized in that, include: One or more processors; The processor is used to invoke instructions to cause the electronic device to perform the method of claim 6 or 7.

9. A storage medium storing instructions, characterized in that, When the instructions are executed on an electronic device, the electronic device causes the electronic device to perform the method of claim 6 or 7.

10. A program product comprising at least one of a program and instructions, characterized in that, When at least one of the programs or instructions is executed by an electronic device, it implements the steps of the method of claim 6 or 7.

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