Carbon emission management system and method for reducing life cycle of public building

Abstract

The invention discloses a carbon emission management system and method for reducing the life cycle of a public building, and relates to the technical field of carbon emission management. The carbon emission management system for reducing the life cycle of the public building comprises a material performance evaluation module, a printing performance evaluation module and an operation performance evaluation module. The material performance evaluation value is obtained through the obtained material performance data, whether material optimization is carried out or not is judged based on the material performance evaluation value, then the printing performance evaluation value is obtained according to the obtained printing performance data, and whether printing process optimization is carried out or not is judged based on the printing performance evaluation value. And finally, obtaining an operation performance evaluation value according to the obtained operation performance data, and judging whether to optimize the operation process or not based on the operation performance evaluation value, thereby improving the accuracy of carbon emission management of the public building in combination with the 3D printing technology. The problem that in the prior art, the relevance between 3D printing public building performance and carbon emission management is low is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon emission management, and in particular to a management system and method for reducing carbon emission during the life cycle of public buildings. Background Art

[0002] The public building materials to be tested as public building materials, especially in the application of 3D printing technology, represent a new development trend. By recycling and processing waste plastics into 3D printing materials, not only can the environmental burden of plastic waste be reduced, but also the carbon emissions of the production of public building materials can be significantly reduced. Due to the precise printing method, the need for templates and support materials can be reduced, and the public building materials to be tested can be used as public building materials, further reducing the carbon footprint in public buildings. 3D printed public buildings can print or produce components on site and assemble them at the construction site, reducing long-distance transportation and thus reducing carbon emissions during transportation.

[0003] In the prior art, carbon emissions are reduced by calculating the carbon emissions during the production, transportation, use and final recycling stages of the public building materials to be tested and combining them with optimization strategies.

[0004] For example, an intelligent carbon emission management system and method is announced in a patent application with announcement number: CN113592187B, including: a carbon emission prediction module, used to predict carbon emission data according to a preset production plan; an emission reduction prediction module, used to predict emission reduction data according to a preset energy-saving and emission reduction plan; an indicator judgment module, used to generate predicted carbon emissions based on carbon emission data and emission reduction data, and compare the predicted carbon emissions with the carbon emission indicators to generate a judgment result, the judgment result includes a procurement indicator and a sales indicator; an emission reduction optimization module, used to generate a purchase indicator signal when the judgment result is a procurement indicator, and generate a sales indicator signal when the judgment result is a sales indicator.

[0005] For example, the carbon emission data management system announced in the invention patent with announcement number: CN118411181B includes: information management module, regional division module, enterprise carbon emission recording module, enterprise carbon credit acquisition module, enterprise abnormal data monitoring module, enterprise carbon quota calculation module, order sharing and carbon quota trading module, information management module, which is used to register and manage enterprise information, set enterprise level and authority, and upload relevant information to the information management module and order sharing and carbon quota trading module.

[0006] However, in the process of implementing the technical solution of the invention in the embodiment of the present application, it is found that the above technology has at least the following technical problems:

[0007] In the existing technology, traditional building materials will generate a lot of carbon emissions during production, transportation and use, and if the building structure is not stable enough, it may be frequently damaged or deformed, requiring repair and reinforcement. These repair activities not only consume a lot of materials and energy, but also generate additional carbon emissions, and there is a problem of low correlation between the performance of 3D printed public buildings and carbon emission management. Summary of the invention

[0008] The embodiments of the present application solve the problem of low correlation between the performance of 3D printed public buildings and carbon emission management in the prior art by providing a carbon emission management system and method for reducing the life cycle of public buildings, and achieve improved accuracy in carbon emission management of public buildings in combination with 3D printing technology.

[0009] The embodiment of the present application provides a carbon emission management system and method for reducing the life cycle of public buildings, including: a material performance evaluation module, a printing performance evaluation module and an operation performance evaluation module; wherein the material performance evaluation module is used to evaluate according to the acquired material performance data to obtain a material performance evaluation value, and judge whether to perform material optimization based on the acquired material performance evaluation value, and the material performance evaluation value is used to quantitatively evaluate the overall performance of the public building materials to be tested; the printing performance evaluation module is used to evaluate according to the acquired printing performance data to obtain a printing performance evaluation value if material optimization is performed, and judge whether to perform printing process optimization based on the acquired printing performance evaluation value, and the printing performance evaluation value is used to quantitatively evaluate the quality of 3D printed public buildings; the operation performance evaluation module is used to evaluate according to the acquired carbon emission data to obtain a total carbon emission amount if printing process optimization is performed, and judge whether to perform carbon emission optimization based on the total carbon emission amount; if carbon emission optimization is performed, the operation performance evaluation value is evaluated according to the optimized total carbon emission amount and the acquired operation performance data to obtain an operation performance evaluation value, and judge whether to perform operation process optimization based on the acquired operation performance evaluation value, and the operation performance evaluation value is used to quantitatively evaluate the overall performance of 3D printed public buildings.

[0010] Furthermore, the material performance data include tensile strength, flexural strength, UV resistance index and total carbon emissions of the material; the printing performance data include layer thickness deviation, printing error, melting index, printing temperature fluctuation coefficient, printing rate and printing energy consumption; the operating performance data include conduction heat, heat transfer area, heat transfer temperature difference on both sides of the public building materials to be tested, heat transfer time and energy consumption; the carbon emission data include the consumption of public building materials to be tested and the corresponding carbon emission factor, the transportation distance of the public building materials to be tested and the corresponding carbon emission factor of the unit weight transportation distance, the number of construction machinery shifts and the corresponding carbon emission factor, the annual energy consumption, the corresponding energy provided by the renewable energy system and the corresponding carbon emission factor.

[0011] Furthermore, the specific method for evaluating and obtaining a material performance evaluation value based on the acquired material performance data is as follows: obtaining a tensile strength deviation based on a relative relationship between the tensile strength and a preset tensile strength in a database; obtaining a bending strength deviation based on a relative relationship between the bending strength and a preset bending strength in a database; obtaining an anti-UV index deviation based on a relative relationship between the anti-UV index and a preset anti-UV index in a database; obtaining a total material carbon emission deviation based on a relative relationship between the total material carbon emission and a preset total material carbon emission in a database; and processing the tensile strength deviation, the bending strength deviation, the anti-UV index deviation, and the total material carbon emission deviation to obtain a material performance evaluation value.

[0012] Furthermore, the specific process of judging whether to perform material optimization based on the obtained material performance evaluation value is as follows: judging whether the material performance evaluation value is less than a preset material performance threshold in the database: if the material performance evaluation value is less than the preset material performance threshold in the database, material optimization is performed; if the material performance evaluation value is not less than the preset material performance threshold in the database, material optimization is not performed; the material optimization is achieved by prompting preset personnel to classify, clean, pretreat and add fillers to the public building materials to be tested.

[0013] Furthermore, the specific method for evaluating and obtaining a printing performance evaluation value based on the acquired printing performance data is as follows: obtaining a layer thickness deviation coefficient based on the relative relationship between the layer thickness deviation and the preset layer thickness deviation in the database; obtaining a printing error coefficient based on the relative relationship between the printing error and the preset printing error in the database, and obtaining an error coefficient by processing the obtained layer thickness deviation coefficient and the printing error coefficient; if the melting index is not within the preset melting index range in the database, obtaining a melting index deviation based on the relative relationship between the melting index and the preset melting index range in the database, otherwise the melting index deviation is recorded as 0; obtaining a printing temperature fluctuation coefficient deviation based on the relative relationship between the printing temperature fluctuation coefficient and the preset printing temperature fluctuation coefficient in the database; obtaining a temperature influence coefficient by processing the obtained melting index deviation and the printing temperature fluctuation coefficient deviation; obtaining a printing energy consumption deviation based on the relative relationship between the printing energy consumption and the preset printing energy consumption in the database; if the printing rate is not within the preset printing rate range, obtaining a printing rate deviation based on the relative relationship between the printing rate and the preset printing rate range in the database, otherwise the printing rate deviation is recorded as 0; combining the obtained error coefficient, temperature influence coefficient with the printing rate deviation and the printing energy consumption deviation to obtain a printing performance evaluation value.

[0014] Furthermore, the specific process of judging whether to optimize the printing process based on the obtained printing performance evaluation value is as follows: judging whether the printing performance evaluation value is less than the preset printing temperature threshold in the database: if the printing performance evaluation value is less than the preset printing temperature threshold in the database, the printing process is optimized; if the printing performance evaluation value is not less than the preset printing temperature threshold in the database, the printing process is not optimized; the printing process optimization includes adjusting the printing parameter settings, optimizing the printing path, optimizing the support structure, adjusting the printing temperature, optimizing the hot bed design and adjusting the printing speed; the printing parameters include layer height, shell thickness, filling density, bottom thickness and top thickness.

[0015] Furthermore, the specific method for evaluating the acquired operating performance data to obtain an operating performance evaluation value is as follows: the heat transfer coefficient is obtained according to the relative relationship between the conducted heat, the heat transfer area, the heat transfer temperature difference on both sides of the public building material to be tested, and the heat transfer time, and the heat transfer coefficient and the preset heat transfer coefficient in the database are processed to obtain the heat transfer coefficient deviation; the total carbon emission deviation is obtained according to the relative relationship between the total carbon emissions and the preset total carbon emissions in the database; the energy consumption deviation is obtained according to the relative relationship between the energy consumption and the preset energy consumption in the database; if the thermal expansion coefficient is not within the preset thermal expansion coefficient range in the database, the thermal expansion coefficient stability index is recorded as 0, otherwise the thermal expansion coefficient stability index is recorded as 1; the heat transfer coefficient deviation, the total carbon emission deviation, the energy consumption deviation and the thermal expansion coefficient stability index are processed to obtain the operating performance evaluation value.

[0016] Furthermore, the specific method for obtaining the operating performance evaluation value is: ; In the formula, represents the running performance evaluation value, represents the optimized printing performance evaluation value, CR represents the heat transfer coefficient, represents the preset heat transfer coefficient, QTA represents the total carbon emissions of the building to be tested, represents the preset total carbon emissions, b represents the number of the energy type, , B represents the total number of energy types, h represents the number of building system types, H represents the total number of building system types, represents the consumption of the b-type energy of the h-type building system, Indicates preset energy consumption.

[0017] Furthermore, the specific process of judging whether to perform operation process optimization based on the obtained operation performance evaluation value is as follows: if the operation performance evaluation value is less than the preset building performance threshold in the database, the operation process optimization is performed; if the operation performance evaluation value is not less than the preset building performance threshold in the database, the operation process optimization is not performed; the operation process optimization includes material optimization, construction optimization and operation energy optimization.

[0018] The embodiment of the present application provides a carbon emission management method for reducing the life cycle of public buildings, characterized in that it includes the following steps: S1, evaluating according to the acquired material performance data to obtain a material performance evaluation value, judging whether to perform material optimization based on the acquired material performance evaluation value, and the material performance evaluation value is used to quantitatively evaluate the overall performance of the public building materials to be tested; S2, if material optimization is performed, evaluating according to the acquired printing performance data to obtain a printing performance evaluation value, judging whether to perform printing process optimization based on the acquired printing performance evaluation value, and the printing performance evaluation value is used to quantitatively evaluate the quality of 3D printed public buildings; S3, if printing process optimization is performed, evaluating according to the acquired carbon emission data to obtain a total carbon emission amount, judging whether to perform carbon emission optimization based on the total carbon emission amount, and if carbon emission optimization is performed, evaluating according to the optimized total carbon emission amount and the acquired operating performance data to obtain an operating performance evaluation value, judging whether to perform operating process optimization based on the acquired operating performance evaluation value, and the operating performance evaluation value is used to quantitatively evaluate the overall performance of 3D printed public buildings.

[0019] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. The material performance evaluation value obtained through the material performance data is used to determine whether to perform material optimization, and then the printing performance evaluation value obtained based on the printing performance data is used to determine whether to perform printing process optimization. Finally, the operation performance evaluation value obtained based on the operation performance data is used to determine whether to perform operation process optimization, thereby reducing the carbon emissions of public buildings during their life cycle, thereby achieving an improvement in the accuracy of carbon emission management for public buildings combined with 3D printing technology, and effectively solving the problem of low correlation between the performance of 3D printed public buildings and carbon emission management in the existing technology.

[0020] 2. The tensile strength deviation is obtained through the tensile strength and the preset tensile strength, and then the bending strength deviation is obtained according to the bending strength and the preset bending strength. Then the anti-UV index deviation is obtained according to the anti-UV index and the preset anti-UV index. Then the total material carbon emission deviation is obtained according to the total material carbon emission and the preset total material carbon emission. Finally, the tensile strength deviation, bending strength deviation, anti-UV index deviation and total material carbon emission deviation are processed to obtain the material performance evaluation value, thereby quantitatively evaluating the overall performance of public building materials and achieving the improvement of the quality of public building materials.

[0021] 3. The heat transfer coefficient deviation is obtained by processing the obtained heat transfer coefficient and the preset heat transfer coefficient, and then the total carbon emission deviation is obtained according to the total carbon emission and the preset total carbon emission. Then, the energy consumption deviation is obtained according to the energy consumption and the preset energy consumption. Finally, the heat transfer coefficient deviation, the total carbon emission deviation, the energy consumption deviation and the thermal expansion coefficient stability index are processed to obtain the operation performance evaluation value, thereby quantitatively evaluating the overall performance of 3D printed public buildings, thereby achieving the improvement of the overall performance of public buildings and the reduction of carbon emissions. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 A schematic diagram of a design of a carbon emission management system for reducing the life cycle of a public building provided in an embodiment of the present application;

[0023] Figure 2 A bar chart of the carbon emissions of the full life cycle of the WORKX NOW outdoor version and indoor version provided in the embodiment of the present application;

[0024] Figure 3 A schematic diagram showing the change of material performance evaluation values ​​with changes in tensile strength provided in the embodiments of the present application;

[0025] Figure 4 A schematic diagram showing the change of the material performance evaluation value with the change of the bending strength provided in the embodiment of the present application;

[0026] Figure 5 A schematic diagram showing the change of the material performance evaluation value provided in the embodiment of the present application with the change of the anti-ultraviolet index;

[0027] Figure 6 A schematic diagram showing the change of the material performance evaluation value provided in the embodiment of the present application with the change of the total carbon emission of the material;

[0028] Figure 7 A flow chart of a method for managing carbon emissions during the life cycle of a public building provided in an embodiment of the present application. DETAILED DESCRIPTION

[0029] The embodiments of the present application solve the problem of low correlation between the performance of 3D printed public buildings and carbon emission management in the prior art by providing a carbon emission management system and method for reducing the life cycle of public buildings. A material performance evaluation value is obtained by acquiring material performance data, and whether to perform material optimization is determined based on the material performance evaluation value. Then, a printing performance evaluation value is obtained based on the acquired printing performance data, and whether to perform printing process optimization is determined based on the printing performance evaluation value. Finally, an operation performance evaluation value is obtained based on the acquired operation performance data, and whether to perform operation process optimization is determined based on the operation performance evaluation value, thereby improving the accuracy of carbon emission management of public buildings combined with 3D printing technology.

[0030] The technical solution in the embodiment of the present application is to solve the problem of low correlation between the performance of 3D printed public buildings and carbon emission management. The overall idea is as follows:

[0031] The material performance evaluation value obtained is used to determine whether to perform material optimization, and then the printing process optimization is determined based on the printing performance evaluation value obtained. Finally, the operation process optimization is determined based on the operation performance evaluation value obtained. This achieves the effect of improving the accuracy of carbon emission management of public buildings combined with 3D printing technology.

[0032] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0033] like Figure 1 As shown, it is a design schematic diagram of a carbon emission management system for reducing the life cycle of public buildings provided by an embodiment of the present application. The carbon emission management system for reducing the life cycle of public buildings provided by an embodiment of the present application includes: a material performance evaluation module, a printing performance evaluation module and an operation performance evaluation module; wherein the material performance evaluation module is used to evaluate according to the acquired material performance data to obtain a material performance evaluation value, and judge whether to perform material optimization based on the acquired material performance evaluation value, and the material performance evaluation value is used to quantitatively evaluate the overall performance of the public building materials to be tested; the printing performance evaluation module is used to evaluate according to the acquired printing performance data to obtain a printing performance evaluation value if material optimization is performed, and judge whether to perform printing process optimization based on the acquired printing performance evaluation value, and the printing performance evaluation value is used to quantitatively evaluate the quality of 3D printed public buildings; the operation performance evaluation module is used to evaluate according to the acquired carbon emission data to obtain the total carbon emission if printing process optimization is performed, and judge whether to perform carbon emission optimization based on the total carbon emission; if carbon emission optimization is performed, the operation performance evaluation value is evaluated according to the optimized total carbon emission and the acquired operation performance data, and judge whether to perform operation process optimization based on the acquired operation performance evaluation value, and the operation performance evaluation value is used to quantitatively evaluate the overall performance of 3D printed public buildings.

[0034] It should be supplemented that the material performance data include tensile strength, flexural strength, UV resistance index and total carbon emissions of the material; the printing performance data include layer thickness deviation, printing error, melting index, printing temperature fluctuation coefficient, printing rate and printing energy consumption; the operating performance data include conduction heat, heat transfer area, heat transfer temperature difference on both sides of the public building materials to be tested, heat transfer time and energy consumption; the carbon emission data include the consumption of public building materials to be tested and the corresponding carbon emission factor, the transportation distance of the public building materials to be tested and the corresponding carbon emission factor of the unit weight transportation distance, the number of construction machinery shifts and the corresponding carbon emission factor, the annual energy consumption, the corresponding energy provided by the renewable energy system and the corresponding carbon emission factor.

[0035] In this embodiment, the tensile strength is obtained by performing a tensile test on the public building material to be tested using a tensile testing machine, recording the maximum tensile force before the public building material to be tested breaks, and performing a ratio calculation between the maximum tensile force and the initial cross-sectional area of ​​the public building material to be tested.

[0036] The bending strength is obtained by performing a bending test on the public building materials to be tested using a three-point bending test machine, recording the maximum bending force before the public building materials to be tested break, and performing a ratio calculation on the relative relationship between the maximum bending force, the distance between the two supporting points of the three-point bending test machine, the initial thickness of the public building materials to be tested, and the initial width of the public building materials to be tested.

[0037] The anti-ultraviolet index is obtained by averaging the inverse of the color difference, the change rate of tensile properties and the change rate of bending strength of the public building materials to be tested. The color difference is obtained by irradiating the public building materials to be tested with ultraviolet light within a preset time period using an ultraviolet light aging tester and then measuring it using a colorimeter; the change rate of tensile properties is obtained by measuring the tensile strength of the public building materials to be tested after ultraviolet irradiation with a tensile testing machine and calculating the ratio of the tensile strength before ultraviolet irradiation; the change rate of bending strength is obtained by measuring the bending strength of the public building materials to be tested after ultraviolet irradiation with a three-point bending testing machine and calculating the ratio of the bending strength before ultraviolet irradiation.

[0038] The total carbon emission of materials is obtained by multiplying the consumption of the public building materials to be tested and the carbon emission factor. The calculation formula for the total carbon emission of materials is: ,in, represents the total carbon emission of the i-th public building material to be tested, represents the consumption of the i-th public building material to be tested, Represents the carbon emission factor of the i-th public building material to be tested.

[0039] The layer thickness deviation is obtained by performing a difference calculation between the actual layer thickness of the public building to be inspected measured by a laser measuring instrument and the layer thickness of the design model.

[0040] The printing error is obtained by performing Euclidean distance calculation on the three-dimensional coordinates of the public building to be inspected obtained by the laser tracker and the three-dimensional coordinates of the public building in the design drawing.

[0041] The melt index is obtained by calculating the ratio of the mass of the public building material to be tested flowing out through the standard nozzle orifice and the test time, which is tested by a melt flow rate tester. The diameter of the standard nozzle orifice is set to 2.095 mm according to international standards (such as ASTM D1238).

[0042] The printing temperature fluctuation coefficient is obtained by real-time monitoring of the temperature changes in the printing process through temperature sensors and thermocouples to obtain the temperature fluctuation range, which is obtained by ratio calculation between the temperature fluctuation range and the preset printing temperature. The preset printing temperature is set according to the 3D printing material. For example, for acrylonitrile butadiene styrene plastic (ABS plastic), the preset temperature is set to 220°C. The temperature fluctuation range represents the absolute value of the difference between the minimum and maximum temperatures during the printing process.

[0043] The printing rate is obtained through the 3D printer control software.

[0044] Printing energy consumption is obtained through a power meter.

[0045] Conduction heat means placing the public building material to be tested in a heat flow meter and recording the amount of heat transferred through the public building material to be tested.

[0046] The heat transfer area is expressed by measuring the area of ​​the common building material to be tested.

[0047] The heat transfer temperature difference on both sides of the public building material to be detected is expressed by performing a difference operation on the readings of the temperature sensors on both sides of the public building material to be detected.

[0048] Heat transfer time refers to the time from the beginning to the end of heat transfer.

[0049] The calculation formula for the total carbon emissions over the entire life cycle is: , where i represents the number of the type of public building material to be tested, , N represents the total number of types of public building materials to be tested, C represents the total carbon emissions over the entire life cycle, represents the total carbon emission of the i-th public building material to be tested, represents the total amount of carbon emissions from transportation of the i-th public building material to be tested, represents the total carbon emissions from construction, represents the total amount of carbon emissions from demolition, Indicates the total carbon emissions from operation.

[0050] The calculation formula for total transportation carbon emissions is: ,in, represents the consumption of the i-th public building material to be tested, represents the transportation distance of the i-th public building material to be tested, It represents the carbon emission factor of the unit weight transportation distance of the i-th public building material to be tested; the energy consumption of construction machinery shifts is shown in Table 1: Table 1 Energy consumption of construction machinery per shift

[0051] The calculation formula for total construction carbon emissions is: , where a represents the number of the type of construction machinery, , A represents the total number of construction machinery types, It represents the number of shifts of type a construction machinery in the construction phase, Represents the carbon emission factor of the ath type of construction machinery during the construction phase.

[0052] The calculation formula for the total amount of carbon emissions from demolition is: ,in, represents the number of shifts of type a construction machinery in the demolition phase, represents the carbon emission factor of the a-th type of construction machinery in the demolition phase, represents the consumption of the i-th public building material to be tested during the demolition phase, represents the transportation distance of the i-th public building material to be inspected during the demolition phase, represents the carbon emission factor of the i-th public building material to be tested during the demolition phase, It represents the carbon emission factor per unit weight of the transportation distance of the i-th public building material to be inspected during the demolition stage.

[0053] The calculation formula for total operating carbon emissions is: , , where b represents the number of the energy type, , B represents the total number of energy types, h represents the number of building system types, , H represents the total number of building system types, Indicates the annual consumption of Class B energy in buildings, represents the carbon emission factor of the building's b-type energy, represents the consumption of the b-type energy of the h-type building system, It represents the amount of b-type energy consumed by h-type building systems provided by renewable energy systems, and y represents the design life of the building; the types of building systems include HVAC systems, domestic hot water systems, lighting and elevator systems, renewable energy systems and building carbon sink systems.

[0054] Determine whether the total carbon emissions are less than the preset total carbon emissions. If the total carbon emissions are less than the preset total carbon emissions, carbon emissions optimization will not be performed. Otherwise, carbon emissions optimization will be performed. The total carbon emissions represent the carbon emissions for the entire life cycle, including the total carbon emissions for materials, the total carbon emissions for transportation, the total carbon emissions for construction, the total carbon emissions for demolition and the total carbon emissions for operation. Because the carbon emissions in the material production stage and the operation stage are the highest in the carbon emissions for the entire life cycle, this application considers the total carbon emissions for materials, the total carbon emissions for printing and the total carbon emissions for operation.

[0055] like Figure 2 As shown, it is a bar chart of the full life cycle carbon emissions of the WORKX NOW outdoor and indoor versions provided in the embodiments of the present application. In addition to the material production stage, the carbon emissions of the public building to be tested are the largest in the operation stage. Therefore, carbon emission optimization is achieved by adding a rooftop photovoltaic system to the public building. When installing the rooftop photovoltaic system, ensure that the solar radiation received by the rooftop photovoltaic system is not blocked.

[0056] Through the comprehensive material performance evaluation module, printing performance evaluation module and operation performance evaluation module, the overall optimization of 3D printing public building performance and carbon emission management is achieved.

[0057] Carbon emissions are reduced by optimizing the carbon emissions of materials and buildings throughout their life cycle; the stability and durability of public buildings are improved by optimizing the printing process and structural design, thereby achieving effective management of carbon emissions during the life cycle of public buildings, and further improving the accuracy of carbon emission management of public buildings in combination with 3D printing technology.

[0058] Further, the specific method for evaluating the material performance evaluation value according to the obtained material performance data is as follows: the tensile strength deviation (i.e. ); The bending strength deviation is obtained according to the relative relationship between the bending strength and the preset bending strength in the database (i.e. ); According to the relative relationship between the anti-ultraviolet index and the preset anti-ultraviolet index in the database, the anti-ultraviolet index deviation is obtained (i.e. ); According to the relative relationship between the total carbon emission of materials and the preset total carbon emission of materials in the database, the total carbon emission deviation of materials is obtained (i.e. ); The tensile strength deviation, bending strength deviation, UV resistance index deviation and total carbon emission deviation of the material are processed to obtain the material performance evaluation value.

[0059] Among them, the specific method for obtaining the material performance evaluation value is:

[0060] In the formula, i represents the number of the type of public building materials to be tested, , N represents the total number of types of public building materials to be tested, represents the material performance evaluation value of the i-th public building material to be tested, represents the tensile strength of the i-th public building material to be tested, represents the bending strength of the i-th public building material to be tested, represents the UV resistance index of the i-th public building material to be tested, represents the total carbon emission of the i-th public building material to be tested, Indicates the preset tensile strength, Indicates the preset bending strength, Indicates the preset UV resistance index. Indicates the total carbon emissions of the preset materials.

[0061] In this embodiment, the preset tensile strength is set according to the type of public building material to be detected. For example, for acrylonitrile butadiene styrene plastic (ABS plastic), the preset tensile strength can be set to 55 MPa; the preset bending strength is set according to the type of public building material to be detected. For example, for ABS plastic, the preset bending strength can be set to 90 MPa; the preset anti-ultraviolet index is set according to the type of public building material to be detected. For example, for ABS plastic, the preset anti-ultraviolet index can be set to 8; the preset total carbon emission of the material is set according to the type of public building material to be detected. For example, for ABS plastic, the preset total carbon emission of the material can be set to 2.5 kg.

[0062] The material performance evaluation value in this algorithm involves processing multiple independent variables (tensile strength, flexural strength, UV resistance index, total carbon emissions of materials), and there is a mutual influence relationship between these independent variables; tensile strength and flexural strength are usually positively correlated, and the higher the tensile strength of the public building material to be tested, the higher the flexural strength; ultraviolet radiation will accelerate the aging of the material, causing molecular chain breakage, and thus reducing the tensile strength and flexural strength. Therefore, the higher the UV resistance index of the public building material to be tested, the higher the tensile strength and flexural strength; high-performance materials (public building materials to be tested with higher tensile strength and flexural strength) require more energy and raw materials in the production process, which may result in higher carbon emissions; some UV resistance additives themselves may be high-energy chemicals, and the production process may result in higher carbon emissions. For example, some UV resistance coatings may require additional chemical treatment and higher temperature processing, which may lead to an increase in the total carbon emissions of the material; in summary, the material performance evaluation value is positively correlated with tensile strength, flexural strength, and UV resistance index, and the material performance evaluation value is negatively correlated with the total carbon emissions of the material.

[0063] For example, the preset tensile strength is 10MPa, the preset bending strength is 10MPa, the preset UV resistance index is 10, and the preset total carbon emission of the material is 10kg. Figure 3 As shown, it is a schematic diagram of the change of the material performance evaluation value provided in the embodiment of the present application with the change of tensile strength. When the bending strength is 10MPa, the UV resistance index is 10 and the total carbon emission of the material is 10kg, the material performance evaluation value increases with the increase of tensile strength.

[0064] like Figure 4 As shown, it is a schematic diagram of the change of the material performance evaluation value provided in the embodiment of the present application with the change of bending strength. When the tensile strength is 10MPa, the UV resistance index is 10 and the total carbon emission of the material is 10kg, the material performance evaluation value increases with the increase of bending strength.

[0065] like Figure 5 As shown, it is a schematic diagram of the change of the material performance evaluation value provided in the embodiment of the present application with the change of the anti-ultraviolet index. When the tensile strength is 10MPa, the bending strength is 10MPa and the total carbon emission of the material is 10kg, the material performance evaluation value increases with the increase of the anti-ultraviolet index.

[0066] like Figure 6 As shown, it is a schematic diagram of the change of the material performance evaluation value provided in the embodiment of the present application with the change of the total carbon emission of the material. When the tensile strength is 10MPa, the bending strength is 10MPa and the UV resistance index is 10, the material performance evaluation value decreases with the increase of the total carbon emission of the material.

[0067] Through the above steps, the overall performance of the public building materials to be tested is quantitatively evaluated, thereby ensuring the improvement of the quality of the 3D printed public building materials to be tested.

[0068] Furthermore, the specific process of judging whether to perform material optimization based on the obtained material performance evaluation value is as follows: judging whether the material performance evaluation value is less than the preset material performance threshold in the database: if the material performance evaluation value is less than the preset material performance threshold in the database, material optimization is performed; if the material performance evaluation value is not less than the preset material performance threshold in the database, material optimization is not performed; material optimization is achieved by prompting preset personnel to classify, clean, pretreat and add fillers to the public building materials to be tested.

[0069] It should be added that the specific steps of material optimization are: A1, prompting the preset personnel to classify the public building materials to be tested according to the types of public building materials to be tested; A2, prompting the preset personnel to clean the public building materials to be tested; A3, pre-processing the public building materials to be tested, and the pre-processing includes cutting, crushing, compacting and drying; A4, adding fillers.

[0070] In this embodiment, the preset material performance threshold is represented by the maximum value of the material performance evaluation value corresponding to the public building material to be tested within the historical time period; the cleaning of the public building material to be tested is used to remove impurities, oil stains, dust and other pollutants on the surface of the public building material to be tested; the cleaning method includes mechanical cleaning (such as brushing, sandblasting), chemical cleaning (such as acid and alkali treatment), physical cleaning (such as ultrasonic cleaning), etc., and the specific selection depends on the nature of the material and the type of pollutant.

[0071] The specific steps of pretreatment are: cutting the public building materials to be tested (for example, ABS plastic) into the required size and shape; breaking the blocks into smaller particles or fragments for subsequent processing; increasing the density and strength of the materials by mechanical methods; and removing moisture or other volatile substances from the materials.

[0072] Select fillers according to specific application scenarios and needs. For example, glass fiber provides excellent strength and stiffness enhancement effects and is often used to manufacture structural parts and load-bearing components. Talc provides lubrication and helps improve the processing performance and surface gloss of plastics.

[0073] Through the above steps, the quality of 3D printed public building materials to be tested is improved, thereby achieving the overall performance of 3D printed public buildings.

[0074] Further, the specific method for evaluating the obtained printing performance data to obtain the printing performance evaluation value is as follows: the layer thickness deviation coefficient (i.e. ); According to the relative relationship between the printing error and the preset printing error in the database, the printing error coefficient (i.e. The error coefficient (i.e., WC) is obtained by processing the obtained layer thickness deviation coefficient and the printing error coefficient; if the melt index is not within the preset melt index range in the database, the melt index deviation (i.e., ), otherwise the melt index deviation is recorded as 0; the print temperature fluctuation coefficient deviation (i.e. ); The temperature influence coefficient (i.e. WD) is obtained by processing the obtained melt index deviation and the printing temperature fluctuation coefficient deviation; the printing energy consumption deviation (i.e. If the printing speed is not within the preset printing speed range, the printing speed deviation (i.e. ), otherwise the printing rate deviation is recorded as 0; the obtained error coefficient, temperature influence coefficient, printing rate deviation and printing energy consumption deviation are combined to obtain the printing performance evaluation value.

[0075] The specific method for obtaining the printing performance evaluation value is as follows: ; ; ; ; ;

[0076] In the formula, i represents the number of the type of public building materials to be tested, N represents the total number of types of public building materials to be tested, DY represents the printing performance evaluation value, represents the optimized material performance evaluation value of the i-th public building material to be tested, Indicates the first printing coefficient, represents the second printing coefficient, WC represents the error coefficient, WD represents the temperature influence coefficient, NHA represents the printing energy consumption of the printing device, SLV represents the printing speed of the printing device, Indicates the preset printing energy consumption. Indicates the preset minimum printing rate. Indicates the preset maximum printing rate, CHD indicates the layer thickness deviation, DAY indicates the printing error, Indicates the preset layer thickness deviation, Indicates the preset printing error, RRO indicates the melt index, WKJ indicates the printing temperature fluctuation coefficient, Indicates the preset minimum melt index, Indicates the preset maximum melt index. Indicates the preset printing temperature fluctuation coefficient.

[0077] In this embodiment, the preset printing energy consumption is set according to the printing time. For example, the average energy consumption per hour in the historical time period is 1Wh / h, and the current printing time required for 3D printing of public buildings is 3 hours, then the preset printing energy consumption is 3Wh (the product of the average energy consumption per hour in the historical time period and the printing time); the preset printing rate range is set according to the performance of the 3D printing device, for example, the printing rate of an ordinary 3D printer can be set to 200mm / s; the preset layer thickness deviation is represented by the average value of the layer thickness deviation in the historical time period; the preset printing error is represented by the average value of the printing deviation in the historical time period; the preset melt index range is set according to the 3D printing material, for example, for ABS material, the preset melt index range is set to 20-30g / min, then the preset minimum melt index is 20g / min, and the preset maximum melt index is 30g / min; the preset printing temperature fluctuation coefficient is represented by the average value of the printing temperature fluctuation coefficient in the historical time period.

[0078] The printing performance evaluation value in this algorithm involves processing multiple independent variables (layer thickness deviation, printing error, melt index, printing temperature fluctuation coefficient, printing rate, and printing energy consumption), and there is a mutual influence relationship between these independent variables; the smaller the layer thickness deviation, the better it is in reducing printing errors and improving the accuracy of printed parts; the larger the printing temperature fluctuation coefficient, the more likely it is that the nozzle of the printing device will overheat or cool unevenly, which may lead to a decrease in the melt index; the higher the printing rate, the higher the printing energy consumption, because faster printing speeds usually require higher heating power and faster movement speeds.

[0079] In this algorithm, the printing performance evaluation value is negatively correlated with the layer thickness deviation, printing error, printing temperature fluctuation coefficient, and printing energy consumption. If the melt index is not within the preset melt index range, the printing performance evaluation value is positively correlated with the melt index. If the printing rate is not within the preset printing rate range, the closer the printing rate is to the preset printing rate range, the greater the printing performance evaluation value.

[0080] Through the above steps, the stability of 3D printing is improved, energy consumption and errors are reduced, and the printing quality and production efficiency of 3D printed public buildings are improved.

[0081] Furthermore, the specific process of judging whether to optimize the printing process based on the obtained printing performance evaluation value is as follows: judging whether the printing performance evaluation value is less than the preset printing temperature threshold in the database: if the printing performance evaluation value is less than the preset printing temperature threshold in the database, the printing process is optimized; if the printing performance evaluation value is not less than the preset printing temperature threshold in the database, the printing process is not optimized; the printing process optimization includes adjusting the printing parameter settings, optimizing the printing path, optimizing the support structure, adjusting the printing temperature, optimizing the hot bed design and adjusting the printing speed; the printing parameters include layer height, shell thickness, filling density, bottom thickness and top thickness.

[0082] In this embodiment, the preset printing temperature threshold is represented by the maximum value of the printing performance evaluation value within the historical time period; if the printing rate needs to be accelerated, the layer height is increased; if the printing quality needs to be enhanced, the layer height is reduced; if the required strength of the public building is higher, the shell thickness and filling density are increased; increasing the bottom thickness can improve the stability of the public building.

[0083] Optimize printing path: select the printing path according to the shape of the public building to be printed, printing speed and quality requirements; the printing path includes serpentine path, straight path, spiral path and double-line path; for example, the spiral path is suitable for cylindrical or similar shaped objects, which can effectively reduce the empty stroke of the print head and improve printing efficiency.

[0084] Optimize support structure: minimize the use of support structure by using bridging technology, adjusting angles, etc.; use water-soluble support; water-soluble support structure is easy to remove by soaking after printing, etc., and is suitable for objects that require fine details or complex structures, such as figure sculptures, mechanical parts, etc.

[0085] Adjust the printing temperature: adjust the nozzle temperature and hot bed temperature according to the melt index of the material; for example, for ABS material, the nozzle temperature is usually between 230℃ and 245℃, and the hot bed temperature needs to be above 85℃.

[0086] Optimize the hot bed design: replace the hot bed and heating elements to ensure uniform temperature distribution on the hot bed surface; use heat dissipation devices such as heat sinks, fans, etc. to improve the heat dissipation efficiency of the hot bed.

[0087] Adjust the printing speed: Through the dynamic speed adjustment function of modern 3D printing slicing software (such as Cura, PrusaSlicer, etc.), different printing speeds can be set according to different areas of the model. For example, for the fine parts of public buildings, a lower printing speed can be set to ensure accuracy and details; while for simple parts of public buildings or large-area filling areas, a higher printing speed can be set to improve efficiency.

[0088] Through the above steps, the quality and efficiency of 3D printing public buildings have been improved.

[0089] Furthermore, the specific method for evaluating the operating performance evaluation value based on the optimized total carbon emissions and the obtained operating performance data is as follows: the heat transfer coefficient (CR) is obtained based on the relative relationship between the heat transfer heat, the heat transfer area, the heat transfer temperature difference on both sides of the public building material to be tested, and the heat transfer time, and the heat transfer coefficient and the preset heat transfer coefficient in the database are processed to obtain the heat transfer coefficient deviation (CR). );According to the relative relationship between the optimized total carbon emissions and the preset total carbon emissions in the database, the total carbon emissions deviation (i.e. ), the total emission deviation is obtained by calculating the ratio of the total carbon emission to the preset total carbon emission in the database; the energy consumption deviation is obtained according to the relative relationship between the energy consumption and the preset energy consumption in the database; the heat transfer coefficient deviation, the total carbon emission deviation, the energy consumption deviation and the thermal expansion coefficient stability index are processed to obtain the operation performance evaluation value.

[0090] The specific method for obtaining the running performance evaluation value is as follows: ; ;

[0091] In the formula, JZ represents the running performance evaluation value, represents the optimized printing performance evaluation value, CR represents the heat transfer coefficient, represents the preset heat transfer coefficient, QTA represents the total carbon emissions of the building to be tested, represents the preset total carbon emissions, b represents the number of the energy type, , B represents the total number of energy types, h represents the number of building system types, , H represents the total number of building system types, represents the consumption of the b-type energy of the h-type building system, It represents the preset energy consumption, RL represents the conducted heat, MJ represents the heat transfer area, WDC represents the heat transfer temperature difference on both sides of the public building material to be tested, and CSJ represents the heat transfer time.

[0092] In this embodiment, the preset total carbon emission is set according to the material consumption. For example, the carbon emission of 1 ton of waste plastic from production to final combustion is 6.8×10 8 kg, if the material consumption is 1 ton, the preset total carbon emissions is 6.8×10 8kg; the preset energy consumption is represented by the average consumption of the corresponding energy type in the historical time period; the preset heat transfer coefficient is set according to the building standard. For example, for low-rise buildings, the average heat transfer coefficient of the exterior wall needs to be reduced to no more than 0.8W / (m·K).

[0093] The optimized printing performance evaluation value is 3.387, the preset heat transfer coefficient is 1W / (m·K), and the preset total carbon emissions over the entire life cycle is 6.8×10 8 kg, the total number of energy types is 1, the total number of building system types is 1, the preset energy consumption is 1000kWh, and the thermal expansion coefficient is within the preset thermal expansion coefficient range. The statistical table of changes in the operating performance evaluation value is shown in Table 2: Table 2 Statistics of changes in operating performance evaluation values

[0094] It can be seen from the first and second groups of data in the table that the operating performance evaluation value decreases as the heat transfer coefficient increases; it can be seen from the second and third groups of data that the operating performance evaluation value decreases as the total carbon emissions increase; it can be seen from the third and fourth groups of data that the operating performance evaluation value decreases as the energy consumption increases.

[0095] The operating performance evaluation value in this algorithm involves processing multiple independent variables (printing performance evaluation value, heat transfer coefficient, total carbon emissions, and energy consumption), and there is a mutual influence relationship between these independent variables; the larger the printing performance evaluation value, the less maintenance work can be done, which in turn leads to a reduction in total carbon emissions; if the heat transfer coefficient of the building's exterior walls, roofs and other parts is lower, it means that these parts have better thermal insulation performance, which can reduce heat loss or absorption, thereby reducing the energy consumption of 3D printed public buildings; the greater the energy consumption of a building, it means that more energy is needed to meet its usage needs during the operation phase of the building, and energy consumption will produce corresponding carbon emissions, which will lead to an increase in total carbon emissions.

[0096] Through the above steps, the overall performance of 3D printed public buildings was quantitatively evaluated, thereby achieving the improvement of the overall performance of public buildings and the reduction of carbon emissions.

[0097] Furthermore, the specific process of judging whether to perform operation process optimization based on the obtained operation performance evaluation value is as follows: judging whether the operation performance evaluation value is less than the preset building performance threshold in the database: if the operation performance evaluation value is less than the preset building performance threshold in the database, the operation process optimization is performed; if the operation performance evaluation value is not less than the preset building performance threshold in the database, the operation process optimization is not performed; the operation process optimization includes material optimization, construction optimization and operation energy optimization; material optimization is optimized according to the application scenario of public buildings; construction optimization includes setting expansion joints and flexible connections.

[0098] In this embodiment, the preset building performance threshold is represented by the maximum value of the operating performance evaluation value within the historical time period; if the public building is placed outdoors, the material is optimized to meet the structural strength requirements and thermal insulation performance. For example, for the outdoor version of WORKX NOW, high-strength and durable materials are selected, such as specially treated steel or concrete composite materials, to ensure the structural stability and safety of the product, and high-quality thermal insulation materials, such as rock wool boards, extruded polystyrene foam boards, etc., are used to improve the thermal insulation performance of the product and reduce energy consumption.

[0099] Specifically, if the public building is placed indoors, the materials will be optimized to lightweight structures and recycled materials. For example, for the indoor version of WORKX NOW, lightweight and high-strength materials such as aluminum alloy and carbon fiber are selected to reduce the product's own weight and installation cost. Recyclable and reusable materials are preferred, such as waste plastics (pre-treated) and waste wood.

[0100] Construction optimization mainly uses 3D printing methods. In the past, construction mainly adopted cast-in-place methods or prefabricated components through formwork, both of which required additional formwork. The formwork materials would produce a large amount of carbon emissions. 3D printing saves formwork materials and reduces carbon emissions. Expansion joints are usually set at locations where the building structure changes greatly, the force is complex, or temperature stress is easily generated, such as building corners, height changes, structural type changes, etc. The width of the expansion joint should be greater than or equal to the maximum deformation caused by the thermal expansion coefficient.

[0101] Flexible connections are used at the nodes of building structures, such as using elastic elements such as rubber pads and springs to connect components; commonly used flexible connection materials include rubber, plastic, composite materials, etc.

[0102] Operational energy optimization also includes: dynamically adjusting the air-conditioning temperature according to indoor and outdoor temperatures, for example, in summer, setting the air-conditioning temperature at around 26°C; optimizing according to the time period of air-conditioning use, for example, turning off the air-conditioning at night when no one is using it; optimizing according to passive methods, for example, setting vents, and using natural ventilation to adjust the indoor temperature when the outdoor temperature of public buildings is comfortable.

[0103] Through the above steps, the environmental performance of 3D printed public buildings was improved, thereby achieving an improvement in the overall long-term stability of 3D printed public buildings.

[0104] like Figure 7 As shown, it is a schematic flow chart of a carbon emission management system for reducing the life cycle of public buildings provided by an embodiment of the present application. The carbon emission management method for reducing the life cycle of public buildings provided by an embodiment of the present application is characterized in that it includes the following steps: S1, material performance evaluation: evaluating according to the acquired material performance data to obtain a material performance evaluation value, judging whether to perform material optimization based on the acquired material performance evaluation value, and the material performance evaluation value is used to quantitatively evaluate the overall performance of the public building materials to be tested; S2, printing performance evaluation: if material optimization is performed, evaluating according to the acquired printing performance data to obtain a printing performance evaluation value, judging whether to perform printing process optimization based on the acquired printing performance evaluation value, and the printing performance evaluation value is used to quantitatively evaluate the quality of 3D printed public buildings; S3, operation performance evaluation: if printing process optimization is performed, evaluating according to the acquired carbon emission data to obtain a total carbon emission amount, judging whether to perform carbon emission optimization based on the total carbon emission amount, if carbon emission optimization is performed, evaluating according to the optimized total carbon emission amount and the acquired operation performance data to obtain an operation performance evaluation value, judging whether to perform operation process optimization based on the acquired operation performance evaluation value, and the operation performance evaluation value is used to quantitatively evaluate the overall performance of 3D printed public buildings.

[0105] In this embodiment, the overall optimization of 3D printed public building design includes material optimization, printing process optimization and operation process optimization; by evaluating material properties, the material quality is improved, while the environmental load and the carbon emissions of materials are reduced; the optimization of the 3D printing process helps to ensure that the printed public buildings have sufficient accuracy and strength, avoiding material waste and structural problems caused by errors; through operational performance evaluation, the safety and durability of public buildings during their life cycle are ensured, while reducing carbon emissions caused by maintenance and repair; thereby achieving an improvement in the accuracy of carbon emission management of public buildings combined with 3D printing technology.

[0106] To summarize, the embodiment of the present application determines whether to perform material optimization based on the material performance evaluation value obtained through the material performance data, and then determines whether to perform printing process optimization based on the printing performance evaluation value obtained based on the printing performance data. Finally, it determines whether to perform operation process optimization based on the operation performance evaluation value obtained based on the operation performance data, thereby reducing the carbon emissions of public buildings during their life cycle, and further achieving improved accuracy in carbon emission management of public buildings in combination with 3D printing technology, effectively solving the problem of low correlation between 3D printed public building performance and carbon emission management in the prior art.

[0107] It should be understood by those skilled in the art that the embodiments of the present invention may be provided as methods, systems or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0108] The present invention is described with reference to flowcharts and / or block diagrams of systems, devices (systems) and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the process in the flowchart. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0109] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0110] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0111] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0112] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A carbon emission management system for reducing the life cycle of public buildings, characterized in that: include: Material performance evaluation module, printing performance evaluation module and operation performance evaluation module; The material performance evaluation module is used to evaluate the acquired material performance data to obtain a material performance evaluation value, and determine whether to perform material optimization based on the acquired material performance evaluation value. The material performance evaluation value is used to quantitatively evaluate the overall performance of the public building materials to be tested; The printing performance evaluation module is used to evaluate the obtained printing performance data to obtain a printing performance evaluation value if material optimization is performed, and to determine whether to perform printing process optimization based on the obtained printing performance evaluation value, wherein the printing performance evaluation value is used to quantitatively evaluate the quality of 3D printed public buildings; The operation performance evaluation module is used to evaluate the total carbon emissions according to the obtained carbon emission data if the printing process is optimized, and determine whether to perform carbon emission optimization based on the total carbon emissions; if carbon emission optimization is performed, the operation performance evaluation value is obtained according to the optimized total carbon emissions and the obtained operation performance data, and determine whether to perform operation process optimization based on the obtained operation performance evaluation value, and the operation performance evaluation value is used to quantitatively evaluate the overall performance of 3D printed public buildings.

2. The carbon emission management system for reducing the life cycle of public buildings as claimed in claim 1, characterized in that: The material performance data include tensile strength, flexural strength, UV resistance index and total carbon emissions of the material; The printing performance data includes layer thickness deviation, printing error, melt index, printing temperature fluctuation coefficient, printing rate and printing energy consumption; The operating performance data include the heat transfer, the heat transfer area, the heat transfer temperature difference between the two sides of the public building material to be tested, the heat transfer time and the energy consumption; The carbon emission data includes the consumption of public building materials to be tested and the corresponding carbon emission factors, the transportation distance of the public building materials to be tested and the corresponding carbon emission factors of the unit weight transportation distance, the number of construction machinery shifts and the corresponding carbon emission factors, the annual energy consumption, the corresponding energy provided by the renewable energy system and the corresponding carbon emission factors.

3. The carbon emission management system for reducing the life cycle of public buildings as claimed in claim 2, characterized in that: The specific method for evaluating the material performance evaluation value according to the acquired material performance data is as follows: The tensile strength deviation is obtained according to the relative relationship between the tensile strength and the preset tensile strength in the database; Obtaining a bending strength deviation according to a relative relationship between the bending strength and a preset bending strength in a database; Obtaining an anti-ultraviolet index deviation according to a relative relationship between the anti-ultraviolet index and a preset anti-ultraviolet index in a database; The total material carbon emission deviation is obtained according to the relative relationship between the total material carbon emission and the preset total material carbon emission in the database; The tensile strength deviation, bending strength deviation, UV resistance index deviation and total carbon emission deviation of the material are processed to obtain the material performance evaluation value.

4. The carbon emission management system for reducing the life cycle of public buildings as claimed in claim 1, characterized in that: The specific process of determining whether to perform material optimization based on the obtained material performance evaluation value is as follows; Determine whether the material performance evaluation value is less than the preset material performance threshold in the database: If the material performance evaluation value is less than the preset material performance threshold in the database, material optimization is performed; If the material performance evaluation value is not less than the preset material performance threshold in the database, no material optimization is performed; The material optimization is achieved by prompting preset personnel to classify, clean, pre-treat and add fillers to the public building materials to be inspected.

5. The carbon emission management system for reducing the life cycle of public buildings as claimed in claim 2, characterized in that: The specific method of evaluating the obtained printing performance data to obtain the printing performance evaluation value is as follows: Obtaining a layer thickness deviation coefficient according to a relative relationship between the layer thickness deviation and a preset layer thickness deviation in a database; A printing error coefficient is obtained according to a relative relationship between the printing error and a preset printing error in a database, and an error coefficient is obtained by processing the obtained layer thickness deviation coefficient and the printing error coefficient; If the melt index is not within the preset melt index range in the database, the melt index deviation is obtained according to the relative relationship between the melt index and the preset melt index range in the database, otherwise the melt index deviation is recorded as 0; Obtaining a printing temperature fluctuation coefficient deviation according to a relative relationship between the printing temperature fluctuation coefficient and a preset printing temperature fluctuation coefficient in a database; The temperature influence coefficient is obtained by processing the obtained melt index deviation and the printing temperature fluctuation coefficient deviation; Obtaining a printing energy consumption deviation according to a relative relationship between the printing energy consumption and a preset printing energy consumption in a database; If the printing speed is not within the preset printing speed range, the printing speed deviation is obtained according to the relative relationship between the printing speed and the preset printing speed range in the database, otherwise the printing speed deviation is recorded as 0; The obtained error coefficient, temperature influence coefficient, printing rate deviation and printing energy consumption deviation are combined to obtain a printing performance evaluation value.

6. The carbon emission management system for reducing the life cycle of public buildings as claimed in claim 1, characterized in that: The specific process of determining whether to optimize the printing process based on the obtained printing performance evaluation value is as follows: Determine whether the printing performance evaluation value is less than the preset printing temperature threshold in the database: If the printing performance evaluation value is less than the preset printing temperature threshold in the database, the printing process is optimized; If the printing performance evaluation value is not less than the preset printing temperature threshold in the database, the printing process optimization is not performed; The printing process optimization includes adjusting printing parameter settings, optimizing printing paths, optimizing support structures, adjusting printing temperatures, optimizing hot bed designs, and adjusting printing speeds; The printing parameters include layer height, shell thickness, filling density, bottom thickness and top thickness.

7. The carbon emission management system for reducing the life cycle of public buildings as claimed in claim 2, characterized in that: The specific method for evaluating the operating performance evaluation value based on the optimized total carbon emissions and the obtained operating performance data is as follows: The heat transfer coefficient is obtained according to the relative relationship between the heat conduction, the heat transfer area, the heat transfer temperature difference on both sides of the public building material to be tested, and the heat transfer time, and the heat transfer coefficient and the preset heat transfer coefficient in the database are processed to obtain the heat transfer coefficient deviation; The total carbon emission deviation is obtained according to the relative relationship between the optimized total carbon emission and the preset total carbon emission in the database; Obtaining an energy consumption deviation according to a relative relationship between the energy consumption and a preset energy consumption in a database; The heat transfer coefficient deviation, total carbon emission deviation, energy consumption deviation and thermal expansion coefficient stability index are processed to obtain the operating performance evaluation value.

8. The carbon emission management system for reducing the life cycle of public buildings as claimed in claim 7, characterized in that: The specific method for obtaining the operating performance evaluation value is: ； In the formula, represents the running performance evaluation value, represents the optimized printing performance evaluation value, CR represents the heat transfer coefficient, represents the preset heat transfer coefficient, QTA represents the total carbon emissions of the building to be tested, represents the preset total carbon emissions, b represents the number of the energy type, , B represents the total number of energy types, h represents the number of building system types, H represents the total number of building system types, represents the consumption of the b-type energy of the h-type building system, Indicates preset energy consumption.

9. The carbon emission management system for reducing the life cycle of public buildings as claimed in claim 1, characterized in that: The specific process of determining whether to optimize the operation process based on the obtained operation performance evaluation value is as follows: If the operational performance evaluation value is less than the preset building performance threshold in the database, the operational process is optimized; If the operational performance evaluation value is not less than the preset building performance threshold in the database, the operational process optimization is not performed; The operation process optimization includes material optimization, construction optimization and operation energy optimization.

10. A method for reducing carbon emissions during the life cycle of a public building, characterized in that: The following steps are involved: S1, evaluating the acquired material performance data to obtain a material performance evaluation value, and judging whether to perform material optimization based on the acquired material performance evaluation value, wherein the material performance evaluation value is used to quantitatively evaluate the overall performance of the public building material to be tested; S2, if material optimization is performed, evaluating the obtained printing performance data to obtain a printing performance evaluation value, and judging whether to perform printing process optimization based on the obtained printing performance evaluation value, wherein the printing performance evaluation value is used to quantitatively evaluate the quality of 3D printed public buildings; S3, if the printing process is optimized, the total carbon emissions are evaluated based on the obtained carbon emission data, and whether to perform carbon emission optimization is determined based on the total carbon emissions. If carbon emission optimization is performed, the optimized total carbon emissions and the obtained operating performance data are evaluated to obtain an operating performance evaluation value, and whether to perform operating process optimization is determined based on the obtained operating performance evaluation value. The operating performance evaluation value is used to quantitatively evaluate the overall performance of 3D printed public buildings.

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