Carbon Emission Management System and Method for Reducing the Carbon Footprint of Public Buildings over Their Lifecycle

Abstract

The present invention discloses a carbon emission management system and method for reducing the carbon emissions in the life cycle of public buildings, which relates to the technical field of carbon emission management. The carbon emission management system for reducing the carbon emissions in the life cycle of public buildings includes: a material performance evaluation module, a printing performance evaluation module, and an operation performance evaluation module. The present invention obtains a material performance evaluation value from the obtained material performance data, determines whether to optimize the material based on the material performance evaluation value, then obtains a printing performance evaluation value from the obtained printing performance data, determines whether to optimize the printing process based on the printing performance evaluation value, and finally obtains an operation performance evaluation value from the obtained operation performance data, determines whether to optimize the operation process based on the operation performance evaluation value, thereby improving the accuracy of carbon emission management for public buildings in combination with 3D printing technology, and solving the problem of low relevance between the performance of 3D printed public buildings and carbon emission management in the prior art.

Description

Technical Field

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

[0002] The application of public building materials to be detected as public building materials, especially in 3D printing technology, represents 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 in 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 detected 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 in the production, transportation, use, and final recycling stages of public building materials to be detected are calculated, and combined with optimization strategies to achieve carbon emission reduction.

[0004] For example, a smart carbon emission management system and method announced in the patent application with the publication number CN113592187B includes: a carbon emission prediction module for predicting carbon emission data according to a preset production plan; an emission reduction prediction module for predicting emission reduction data according to a preset energy conservation and emission reduction plan; an index judgment module for generating a predicted carbon emission amount based on the carbon emission data and the emission reduction data, comparing the predicted carbon emission amount with the carbon emission index to generate a judgment result, and the judgment result includes a procurement index and a sales index; an emission reduction optimization module for generating a purchase index signal when the judgment result is a procurement index and generating a sale index signal when the judgment result is a sales index.

[0005] For example, a carbon emission data management system announced in the invention patent with the publication number CN118411181B includes: an information management module, a regional division module, an enterprise carbon emission record module, an enterprise carbon credit acquisition module, an enterprise abnormal data monitoring module, an enterprise carbon quota calculation module, an order sharing and carbon quota trading module. The information management module is used to register and manage enterprise information, set enterprise levels and permissions, and upload relevant information to the information management module and the order sharing and carbon quota trading module.

[0006] However, in the process of implementing the technical solutions of the embodiments of the present application, it is found that the above technologies have at least the following technical problems:

[0007] In the prior art, traditional building materials generate a large amount of carbon emissions during production, transportation, and use. Moreover, if the building structure lacks sufficient stability, it may frequently suffer damage or deformation, necessitating repair and reinforcement. These repair activities not only consume a large amount of materials and energy but also generate additional carbon emissions, resulting in a low correlation between the performance of 3D-printed public buildings and carbon emission management. Summary of the Invention

[0008] Embodiments of the present application provide a carbon emission management system and method for reducing carbon emissions in the life cycle of public buildings, solving the problem of low correlation between the performance of 3D-printed public buildings and carbon emission management in the prior art, and achieving an improvement in the accuracy of carbon emission management for public buildings in combination with 3D printing technology.

[0009] Embodiments of the present application provide a carbon emission management system and method for reducing carbon emissions in the life cycle of public buildings, including: a material performance evaluation module, a printing performance evaluation module, and an operating performance evaluation module; wherein, the material performance evaluation module is used to evaluate based on the obtained material performance data to obtain a material performance evaluation value, and determine whether to optimize the material based on the obtained 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, if the material is optimized, evaluate based on the obtained printing performance data to obtain a printing performance evaluation value, and determine whether to optimize the printing process based on the obtained printing performance evaluation value. The printing performance evaluation value is used to quantitatively evaluate the quality of 3D-printed public buildings; the operating performance evaluation module is used to, if the printing process is optimized, evaluate based on the obtained carbon emission data to obtain the total carbon emissions, and determine whether to optimize the carbon emissions based on the total carbon emissions. If the carbon emissions are optimized, evaluate based on the optimized total carbon emissions and the obtained operating performance data to obtain an operating performance evaluation value, and determine whether to optimize the operating process 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.

[0010] Furthermore, the material performance data includes tensile strength, flexural strength, UV resistance index, and total material carbon emissions; 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 includes heat conduction, heat transfer area, temperature difference of heat transfer on both sides of the public building materials to be tested, heat transfer time, and energy consumption; the carbon emission data includes the consumption of the 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 carbon emission factors per unit weight of transportation distance, the working shifts of construction machinery 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.

[0011] Further, the specific method for evaluating the material performance value based on the obtained material performance data is as follows: Obtain the tensile strength deviation according to the relative relationship between the tensile strength and the preset tensile strength in the database; obtain the flexural strength deviation according to the relative relationship between the flexural strength and the preset flexural strength in the database; obtain the anti-ultraviolet index deviation according to the relative relationship between the anti-ultraviolet index and the preset anti-ultraviolet index in the database; obtain the total material carbon emission deviation according to the relative relationship between the total material carbon emission and the preset total material carbon emission in the database; and process the tensile strength deviation, flexural strength deviation, anti-ultraviolet index deviation, and total material carbon emission deviation to obtain the material performance evaluation value.

[0012] Further, the specific process for determining whether to optimize the material 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, then optimize the material; if the material performance evaluation value is not less than the preset material performance threshold in the database, then do not optimize the material; and the material optimization is achieved by prompting the preset personnel to classify, clean, preprocess, and add fillers to the public building materials to be tested.

[0013] Further, the specific method for evaluating the printing performance value based on the obtained printing performance data is as follows: Obtain the layer thickness deviation coefficient according to the relative relationship between the layer thickness deviation and the preset layer thickness deviation in the database; obtain the printing error coefficient according to the relative relationship between the printing error and the preset printing error in the database, and process the obtained layer thickness deviation coefficient and printing error coefficient to obtain the error coefficient; if the melt index is not within the preset melt index range in the database, then obtain the melt index deviation according to the relative relationship between the melt index and the preset melt index range in the database, otherwise record the melt index deviation as 0; obtain the printing temperature fluctuation coefficient deviation according to the relative relationship between the printing temperature fluctuation coefficient and the preset printing temperature fluctuation coefficient in the database; process the obtained melt index deviation and printing temperature fluctuation coefficient deviation to obtain the temperature influence coefficient; obtain the printing energy consumption deviation according to 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, then obtain the printing rate deviation according to the relative relationship between the printing rate and the preset printing rate range in the database, otherwise record the printing rate deviation as 0; and combine the obtained error coefficient, temperature influence coefficient, printing rate deviation, and printing energy consumption deviation to obtain the printing performance evaluation value.

[0014] Further, 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, optimize the printing process. If the printing performance evaluation value is not less than the preset printing temperature threshold in the database, do not optimize the printing process. The printing process optimization includes adjusting 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, fill density, bottom thickness, and top thickness.

[0015] Further, the specific method for evaluating the obtained operation performance data to obtain the operation performance evaluation value is as follows: Obtain the heat transfer coefficient based on the relative relationship between the heat conduction amount, heat transfer area, temperature difference of heat transfer on both sides of the public building material to be detected, and heat transfer time. Process the heat transfer coefficient and the preset heat transfer coefficient in the database to obtain the heat transfer coefficient deviation. Obtain the total carbon emission deviation based on the relative relationship between the total carbon emission amount and the preset total carbon emission amount in the database. Obtain the energy consumption deviation based on the relative relationship between the energy consumption amount and the preset energy consumption amount in the database. If the coefficient of thermal expansion is not within the preset coefficient of thermal expansion range in the database, record the coefficient of thermal expansion stability index as 0, otherwise record the coefficient of thermal expansion stability index as 1. Process the heat transfer coefficient deviation, total carbon emission deviation, energy consumption deviation, and coefficient of thermal expansion stability index to obtain the operation performance evaluation value.

[0016] Further, the specific method for obtaining the operation performance evaluation value is:

[0017] ;

[0018] In the formula, represents the operation 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 emission amount of the building to be detected, represents the preset total carbon emission amount, b represents the number of the energy type, , B represents the total number of energy types, h represents the number of the building system type, H represents the total number of building system types, represents the energy consumption of the b-th type of energy of the h-th building system, represents the preset energy consumption.

[0019] Further, the specific process of determining whether to optimize the operation process 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 is optimized; if the operation performance evaluation value is not less than the preset building performance threshold in the database, the operation process is not optimized; the operation process optimization includes material optimization, construction optimization, and operation energy optimization.

[0020] The embodiment of the present application provides a carbon emission management method for reducing the life cycle of public buildings, which is characterized by including the following steps: S1, evaluating based on the obtained material performance data to obtain a material performance evaluation value, and determining whether to perform material optimization based on the obtained material performance evaluation value, where the material performance evaluation value is used to quantitatively evaluate the overall performance of the public building materials to be detected; S2, if material optimization is performed, evaluating based on the obtained printing performance data to obtain a printing performance evaluation value, and determining whether to perform printing process optimization based on the obtained printing performance evaluation value, where the printing performance evaluation value is used to quantitatively evaluate the quality of the 3D printed public building; S3, if printing process optimization is performed, evaluating based on the obtained carbon emission data to obtain the total carbon emission, determining whether to perform carbon emission optimization based on the total carbon emission, if carbon emission optimization is performed, evaluating based on the optimized total carbon emission and the obtained operation performance data to obtain an operation performance evaluation value, and determining whether to perform operation process optimization based on the obtained operation performance evaluation value, where the operation performance evaluation value is used to quantitatively evaluate the overall performance of the 3D printed public building.

[0021] One or more technical solutions provided in the embodiment of the present application at least have the following technical effects or advantages:

[0022] 1. By determining whether to perform material optimization based on the material performance evaluation value obtained from the material performance data, then determining whether to perform printing process optimization based on the printing performance evaluation value obtained from the printing performance data, and finally determining whether to perform operation process optimization based on the operation performance evaluation value obtained from the operation performance data, the carbon emissions in the life cycle of public buildings are reduced, thereby improving the accuracy of carbon emission management for public buildings combined with 3D printing technology, and effectively solving the problem of low relevance between the performance of 3D printed public buildings and carbon emission management in the prior art.

[0023] 2. Obtain the tensile strength deviation from the tensile strength and the preset tensile strength, then obtain the flexural strength deviation from the flexural strength and the preset flexural strength, then obtain the anti-ultraviolet index deviation from the anti-ultraviolet index and the preset anti-ultraviolet index, then obtain the total material carbon emission deviation from the total material carbon emission and the preset total material carbon emission, and finally process the tensile strength deviation, flexural strength deviation, anti-ultraviolet index deviation and total material carbon emission deviation to obtain the material performance evaluation value, thereby quantitatively evaluating the overall performance of public building materials, and further realizing the improvement of the quality of public building materials.

[0024] 3. Process the obtained heat transfer coefficient and the preset heat transfer coefficient to obtain the heat transfer coefficient deviation, then obtain the total carbon emission deviation from the total carbon emission and the preset total carbon emission, then obtain the energy consumption deviation from the energy consumption and the preset energy consumption, and finally process the heat transfer coefficient deviation, total carbon emission deviation, energy consumption deviation and thermal expansion coefficient stability index to obtain the operation performance evaluation value, thereby quantitatively evaluating the overall performance of 3D printed public buildings, and further realizing the improvement of the overall performance of public buildings and the reduction of carbon emissions. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a schematic design diagram of a carbon emission management system for reducing the life cycle of public buildings provided by an embodiment of the present application;

[0026] Figure 2 It is a bar chart of the total life cycle carbon emissions of the WORKX NOW outdoor version and indoor version provided by an embodiment of the present application;

[0027] Figure 3 It is a schematic diagram of the change of the material performance evaluation value with the tensile strength provided by an embodiment of the present application;

[0028] Figure 4 It is a schematic diagram of the change of the material performance evaluation value with the flexural strength provided by an embodiment of the present application;

[0029] Figure 5 It is a schematic diagram of the change of the material performance evaluation value with the anti-ultraviolet index provided by an embodiment of the present application;

[0030] Figure 6 It is a schematic diagram of the change of the material performance evaluation value with the total material carbon emission provided by an embodiment of the present application;

[0031] Figure 7 It is a flowchart of a carbon emission management method for reducing the life cycle of public buildings provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0032] Embodiments of the present application provide a carbon emission management system and method for reducing the life cycle of public buildings, which solve the problem of low relevance between the performance of 3D-printed public buildings and carbon emission management in the prior art. By obtaining material performance data, a material performance evaluation value is obtained. Based on the material performance evaluation value, it is judged whether to optimize the material. Then, based on the obtained printing performance data, a printing performance evaluation value is obtained. Based on the printing performance evaluation value, it is judged whether to optimize the printing process. Finally, based on the obtained operation performance data, an operation performance evaluation value is obtained. Based on the operation performance evaluation value, it is judged whether to optimize the operation process, achieving an improvement in the accuracy of carbon emission management for public buildings combined with 3D printing technology.

[0033] The technical solution in the embodiments of the present application for solving the problem of low relevance between the performance of 3D-printed public buildings and carbon emission management is generally as follows:

[0034] Based on the obtained material performance evaluation value, it is judged whether to optimize the material. Then, based on the obtained printing performance evaluation value, it is judged whether to optimize the printing process. Finally, based on the obtained operation performance evaluation value, it is judged whether to optimize the operation process, achieving the effect of improving the accuracy of carbon emission management for public buildings combined with 3D printing technology.

[0035] To better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings of the specification and specific embodiments.

[0036] As Figure 1 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 based on the obtained material performance data to obtain a material performance evaluation value, and judge whether to optimize the material based on the obtained material performance evaluation value. The material performance evaluation value is used to quantitatively evaluate the overall performance of the public building materials to be detected; the printing performance evaluation module is used to, if the material is optimized, evaluate based on the obtained printing performance data to obtain a printing performance evaluation value, and judge whether to optimize the printing process based on the obtained printing performance evaluation value. 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, if the printing process is optimized, evaluate based on the obtained carbon emission data to obtain the total carbon emission amount, and judge whether to optimize the carbon emission based on the total carbon emission amount. If the carbon emission is optimized, evaluate based on the optimized total carbon emission amount and the obtained operation performance data to obtain an operation performance evaluation value, and judge whether to optimize the operation process based on the obtained operation performance evaluation value. The operation performance evaluation value is used to quantitatively evaluate the overall performance of 3D-printed public buildings.

[0037] It should be added that the material performance data includes 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 operation performance data includes heat conduction, heat transfer area, temperature difference of heat transfer on both sides of the public building materials to be tested, heat transfer time, and energy consumption; the carbon emission data includes the consumption of the 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 carbon emission factors per unit weight of transportation distance, the shift volume of construction machinery 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.

[0038] In this embodiment, the tensile strength is obtained by performing a tensile test on the public building materials to be tested using a tensile testing machine, recording the maximum tensile force before the public building materials to be tested break, and performing a ratio operation on the maximum tensile force and the initial cross-sectional area of the public building materials to be tested.

[0039] The flexural strength is obtained by performing a flexural test on the public building materials to be tested using a three-point bending testing machine, recording the maximum flexural force before the public building materials to be tested break, and performing a ratio operation on the relative relationship between the maximum flexural force, the distance between the two support points of the three-point bending testing machine, the initial thickness of the public building materials to be tested, and the initial width of the public building materials to be tested.

[0040] The UV resistance index is obtained by performing an average operation on the reciprocal of the color difference of the public building materials to be tested, the change rate of tensile properties, and the change rate of flexural strength. The color difference is measured by a color difference meter after irradiating the public building materials to be tested with ultraviolet light for a preset period of time using an ultraviolet light aging testing machine; the change rate of tensile properties is obtained by performing a ratio operation on the tensile strength of the public building materials to be tested after ultraviolet irradiation and the tensile strength before ultraviolet irradiation measured by a tensile testing machine, and the change rate of flexural strength is obtained by performing a ratio operation on the flexural strength of the public building materials to be tested after ultraviolet irradiation and the flexural strength before ultraviolet irradiation measured by a three-point bending testing machine.

[0041] The total carbon emissions of the material are obtained by performing a product operation on the consumption of the public building materials to be tested and the carbon emission factors. The calculation formula for the total carbon emissions of the material is: , where represents the total carbon emissions of the i-th type of public building materials to be tested, represents the consumption of the i-th type of public building materials to be tested, represents the carbon emission factor of the i-th type of public building materials to be tested.

[0042] The layer thickness deviation is obtained by calculating the difference between the actual layer thickness of the public building to be detected measured by a laser measuring instrument and the layer thickness of the design model.

[0043] The printing error is obtained by performing an operation using the Euclidean distance formula on the three-dimensional coordinates of the public building to be detected obtained by a laser tracker and the three-dimensional coordinates of the public building in the design drawing.

[0044] The melt index is obtained by calculating the ratio of the mass of the public building material to be detected flowing out through a 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).

[0045] The printing temperature fluctuation coefficient is obtained by calculating the ratio of the temperature fluctuation range, which is obtained by real-time monitoring of the temperature change during the printing process using a temperature sensor and a thermocouple, to 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.

[0046] The printing rate is obtained through the 3D printer control software.

[0047] The printing energy consumption is obtained through a power meter.

[0048] The heat conduction represents placing the public building material to be detected in a heat flow meter and recording the heat transferred through the public building material to be detected.

[0049] The heat transfer area is represented by measuring the area of the public building material to be detected.

[0050] The temperature difference of heat transfer on both sides of the public building material to be detected is represented by calculating the difference between the readings of the temperature sensors on both sides of the public building material to be detected.

[0051] The heat transfer time represents the time from the start to the end of heat transfer.

[0052] 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 detected, , N represents the total number of types of public building materials to be detected, C represents the total carbon emissions over the entire life cycle, represents the total carbon emissions of the i-th type of public building material to be detected, represents the total carbon emissions during transportation of the i-th type of public building material to be detected, Indicates the total construction carbon emissions, Indicates the total demolition carbon emissions, Indicates the total operation carbon emissions.

[0053] The calculation formula for the total transportation carbon emissions is: , where, Indicates the consumption of the i-th type of public building material to be tested, Indicates the transportation distance of the i-th type of public building material to be tested, Indicates the carbon emission factor per unit weight transportation distance of the i-th type of public building material to be tested; The energy consumption of construction machinery working shifts is shown in Table 1:

[0054] Table 1 Energy consumption of construction machinery working shifts

[0055]

[0056] The calculation formula for the total construction carbon emissions is: , where a represents the number of the construction machinery type, , A represents the total number of construction machinery types, Indicates the working shift volume of the a-th type of construction machinery in the construction stage, Indicates the carbon emission factor of the a-th type of construction machinery in the construction stage.

[0057] The calculation formula for the total demolition carbon emissions is: , where, Indicates the working shift volume of the a-th type of construction machinery in the demolition stage, Indicates the carbon emission factor of the a-th type of construction machinery in the demolition stage, Indicates the consumption of the i-th type of public building material to be tested in the demolition stage, Indicates the transportation distance of the i-th type of public building material to be tested in the demolition stage, Indicates the carbon emission factor of the i-th type of public building material to be tested in the demolition stage, Indicates the carbon emission factor per unit weight transportation distance of the i-th type of public building material to be tested in the demolition stage.

[0058] The calculation formula for the total operation 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 the building system type, , H represents the total number of building system types, indicates the annual consumption of the b-th type of energy in the building, Indicates the carbon emission factor of the b-th type of energy in the building, Indicates the consumption of the b-th type of energy in the h-th building system, Let \(h\) represent the amount of energy of type \(b\) consumed by the building system of class \(h\), and \(y\) represent the design life of the building. The building system types include heating, ventilation, and air conditioning systems, domestic hot water systems, lighting and elevator systems, renewable energy systems, and building carbon sink systems.

[0059] Judge 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, no carbon emission optimization is performed; otherwise, carbon emission optimization is performed. The total carbon emissions represent the carbon emissions throughout the life cycle, including the total carbon emissions of materials, transportation, construction, demolition, and operation. Since the carbon emissions in the material production stage and the operation stage are the highest in the total life cycle carbon emissions, this application considers the total carbon emissions of materials, printing, and operation.

[0060] As Figure 2 shown, it is a bar chart of the total life cycle carbon emissions of the WORKX NOW outdoor version and indoor version provided by the embodiment of this application. For the public building to be detected, except for the material production stage, the carbon emissions in the operation stage are the largest. Therefore, carbon emission optimization is achieved by adding a rooftop photovoltaic system to the public building, and it is ensured that the solar radiation received by the rooftop photovoltaic system is not blocked during the installation of the rooftop photovoltaic system.

[0061] Through the comprehensive material performance evaluation module, printing performance evaluation module, and operation performance evaluation module, the overall optimization of the performance and carbon emissions management of 3D printed public buildings is achieved.

[0062] Through the optimization of the carbon emissions of materials and the building life cycle, the carbon emissions are reduced; through the optimization of the printing process and structural design, the stability and durability of public buildings are improved, thereby realizing the effective management of carbon emissions in the life cycle of public buildings, and further realizing the improvement of the accuracy of carbon emissions management of public buildings combined with 3D printing technology.

[0063] Furthermore, the specific method for obtaining the material performance evaluation value by evaluating according to the obtained material performance data is as follows: Obtain the tensile strength deviation according to the relative relationship between the tensile strength and the preset tensile strength in the database (i.e., ); Obtain the flexural strength deviation according to the relative relationship between the flexural strength and the preset flexural strength in the database (i.e., ); Obtain the ultraviolet resistance index deviation according to the relative relationship between the ultraviolet resistance index and the preset ultraviolet resistance index in the database (i.e., ); Obtain the total material carbon emission deviation according to the relative relationship between the total material carbon emissions and the preset total material carbon emissions in the database (i.e., ); Process the tensile strength deviation, flexural strength deviation, anti-ultraviolet index deviation, and total material carbon emission deviation to obtain the material performance evaluation value.

[0064] Among them, the specific method for obtaining the material performance evaluation value is as follows:

[0065]

[0066] In the formula, i represents the number of the type of public building material to be detected, , N represents the total number of types of public building materials to be detected, represents the material performance evaluation value of the i-th type of public building material to be detected, represents the tensile strength of the i-th type of public building material to be detected, represents the flexural strength of the i-th type of public building material to be detected, represents the anti-ultraviolet index of the i-th type of public building material to be detected, represents the total material carbon emission of the i-th type of public building material to be detected, represents the preset tensile strength, represents the preset flexural strength, represents the preset anti-ultraviolet index, represents the preset total material carbon emission.

[0067] 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 flexural strength is set according to the type of public building material to be detected. For example, for ABS plastic, the preset flexural 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 material carbon emission is set according to the type of public building material to be detected. For example, for ABS plastic, the preset total material carbon emission can be set to 2.5 kg.

[0068] In this algorithm, the material performance evaluation value is obtained by processing multiple independent variables (tensile strength, flexural strength, UV resistance index, total material carbon emissions). There are mutual influence relationships among these independent variables; tensile strength and flexural strength are usually positively correlated. The higher the tensile strength of the public building materials to be tested, the higher the flexural strength; UV radiation will accelerate the aging of materials, cause molecular chain breakage, and thus reduce the tensile strength and flexural strength. Therefore, the higher the UV resistance index of the public building materials to be tested, the higher the tensile strength and flexural strength; high-performance materials (public building materials with higher tensile strength and flexural strength) require more energy and raw materials during production, which may lead to higher carbon emissions; some UV-resistant additives themselves may be high-energy-consuming chemical substances, and the production process may lead to higher carbon emissions. For example, some UV-resistant coatings may require additional chemical treatment and higher-temperature processing, which may lead to an increase in the total material carbon emissions; in summary, the material performance evaluation value is positively correlated with the tensile strength, flexural strength, and UV resistance index, and the material performance evaluation value is negatively correlated with the total material carbon emissions.

[0069] Taking the preset tensile strength of 10 MPa, the preset flexural strength of 10 MPa, the preset UV resistance index of 10, and the preset total material carbon emissions of 10 kg as an example, as Figure 3 shown, it is a schematic diagram of the change of the material performance evaluation value provided by the embodiment of the present application with the change of the tensile strength. When the flexural strength is 10 MPa, the UV resistance index is 10, and the total material carbon emissions are 10 kg, the material performance evaluation value increases with the increase of the tensile strength.

[0070] As Figure 4 shown, it is a schematic diagram of the change of the material performance evaluation value provided by the embodiment of the present application with the change of the flexural strength. When the tensile strength is 10 MPa, the UV resistance index is 10, and the total material carbon emissions are 10 kg, the material performance evaluation value increases with the increase of the flexural strength.

[0071] As Figure 5 shown, it is a schematic diagram of the change of the material performance evaluation value provided by the embodiment of the present application with the change of the UV resistance index. When the tensile strength is 10 MPa, the flexural strength is 10 MPa, and the total material carbon emissions are 10 kg, the material performance evaluation value increases with the increase of the UV resistance index.

[0072] As Figure 6 shown, it is a schematic diagram of the change of the material performance evaluation value provided by the embodiment of the present application with the change of the total material carbon emissions. When the tensile strength is 10 MPa, the flexural strength is 10 MPa, and the UV resistance index is 10, the material performance evaluation value decreases with the increase of the total material carbon emissions.

[0073] Through the above steps, the overall performance of the public building materials to be detected is quantitatively evaluated, thereby ensuring the improvement of the quality of the 3D printed public building materials to be detected.

[0074] Further, the specific process for judging whether to optimize the material based on the obtained material performance evaluation value is as follows: Judge 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 carried out. If the material performance evaluation value is not less than the preset material performance threshold in the database, material optimization is not carried out. Material optimization is achieved by prompting the preset personnel to classify, clean, preprocess, and add fillers to the public building materials to be detected.

[0075] It should be added that the specific steps of material optimization are as follows: A1, prompt the preset personnel to classify the public building materials to be detected according to the types of the public building materials to be detected; A2, prompt the preset personnel to clean the public building materials to be detected; A3, preprocess the public building materials to be detected, and the preprocessing includes cutting, crushing, compaction, and drying; A4, add fillers.

[0076] In this embodiment, the preset material performance threshold is represented by the maximum value of the material performance evaluation values corresponding to the public building materials to be detected within the historical time period. Cleaning the public building materials to be detected is used to remove pollutants such as impurities, oil stains, and dust on the surface of the public building materials to be detected. The cleaning methods include mechanical cleaning (such as brushing, sandblasting), chemical cleaning (such as acid-base treatment), physical cleaning (such as ultrasonic cleaning), etc., and the specific selection depends on the nature of the material and the type of pollutants.

[0077] The specific steps of the preprocessing are as follows: Cut the public building materials to be detected (for example, ABS plastic) into the required sizes and shapes; Break the blocks into smaller particles or fragments for subsequent processing; Increase the density and strength of the material by mechanical methods; Remove moisture or other volatile substances from the material.

[0078] Select fillers according to specific application scenarios and requirements. For example, glass fiber provides excellent strength and stiffness enhancement effects and is commonly used in manufacturing structural parts and load-bearing components. Talc powder provides a lubricating effect and helps to improve the processing performance and surface gloss of plastics.

[0079] Through the above steps, the improvement of the quality of the 3D printed public building materials to be detected is achieved, and thus the overall performance of the 3D printed public buildings is achieved.

[0080] Further, the specific method for obtaining the printing performance evaluation value by evaluating according to the obtained printing performance data is as follows: Obtain the layer thickness deviation coefficient according to the relative relationship between the layer thickness deviation and the preset layer thickness deviation in the database (that is ); Obtain a printing error coefficient based on the relative relationship between the printing error and the preset printing error in the database (i.e., Process the obtained layer thickness deviation coefficient and printing error coefficient to obtain an error coefficient (i.e., WC); if the melt index is not within the preset melt index range in the database, obtain a melt index deviation based on the relative relationship between the melt index and the preset melt index range in the database (i.e., ), otherwise record the melt index deviation as 0; obtain 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 (i.e., ); Process the obtained melt index deviation and printing temperature fluctuation coefficient deviation to obtain a temperature influence coefficient (i.e., WD); obtain a printing energy consumption deviation based on the relative relationship between the printing energy consumption and the preset printing energy consumption in the database (i.e., If the printing rate is not within the preset printing rate range, obtain a printing rate deviation based on the relative relationship between the printing rate and the preset printing rate range in the database (i.e., ), otherwise record the printing rate deviation as 0; Combine the obtained error coefficient, temperature influence coefficient with the printing rate deviation and printing energy consumption deviation to obtain a printing performance evaluation value.

[0081] Among them, the specific method for obtaining the printing performance evaluation value is:

[0082] ;

[0083] ;

[0084] ;

[0085] ;

[0086] ;

[0087] In the formula, i represents the number of the type of public building material to be detected, N represents the total number of types of public building materials to be detected, DY represents the printing performance evaluation value, represents the optimized material performance evaluation value of the i-th type of public building material to be detected, represents 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 rate of the printing device, represents the preset printing energy consumption, represents the preset minimum printing rate, represents the preset maximum printing rate, CHD represents the layer thickness deviation, DAY represents the printing error, Represents the preset layer thickness deviation, represents the preset printing error, RRO represents the melt index, and WKJ represents the printing temperature fluctuation coefficient, represents the preset minimum melt index, represents the preset maximum melt index, represents the preset printing temperature fluctuation coefficient.

[0088] In this embodiment, the preset printing energy consumption is set according to the printing time. For example, if the average energy consumption per hour in the historical time period is 1 Wh / h and the current printing time required for 3D printing a public building is 3 hours, then the preset printing energy consumption is 3 Wh (the product of the average energy consumption per hour in the historical time period and the printing time); the preset printing speed range is set according to the performance of the 3D printing device. For example, the printing speed of an ordinary 3D printer can be set to 200 mm / 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 - 30 g / min, then the preset minimum melt index is 20 g / min and the preset maximum melt index is 30 g / min; the preset printing temperature fluctuation coefficient is represented by the average value of the printing temperature fluctuation coefficient in the historical time period.

[0089] In this algorithm, the printing performance evaluation value is obtained by processing multiple independent variables (layer thickness deviation, printing error, melt index, printing temperature fluctuation coefficient, printing speed, printing energy consumption), and there is an interaction relationship between these independent variables; the smaller the layer thickness deviation, the more helpful it is to reduce the printing error and improve the accuracy of the printed part; the larger the printing temperature fluctuation coefficient, it may cause the nozzle of the printing device to overheat or the cooling to be uneven, and then may cause the melt index to decrease; the higher the printing speed, it may cause the higher the printing energy consumption, because accelerating the printing speed usually requires higher heating power and faster moving speed.

[0090] 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 speed is not within the preset printing speed range, the closer the printing speed is to the preset printing speed range, the larger the printing performance evaluation value.

[0091] Through the above steps, the stability of 3D printing is improved, the energy consumption and error are reduced, and thus the printing quality and production efficiency of 3D printing public buildings are improved.

[0092] Further, the specific process for 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, then optimize the printing process; If the printing performance evaluation value is not less than the preset printing temperature threshold in the database, then do not optimize the printing process; The printing process optimization includes adjusting printing parameter settings, optimizing the printing path, optimizing the support structure, adjusting the printing temperature, optimizing the heated bed design, and adjusting the printing speed; The printing parameters include layer height, shell thickness, infill density, bottom thickness, and top thickness.

[0093] In this embodiment, the preset printing temperature threshold is represented by the maximum value of the printing performance evaluation values within the historical time period; If it is necessary to increase the printing rate, then increase the layer height; If it is necessary to enhance the printing quality, then decrease the layer height; If the required strength of the public building is higher, then increase the shell thickness and infill density; Increasing the bottom thickness can improve the stability of the public building.

[0094] Optimize the printing path: Select the printing path according to the shape of the printed public building, printing speed, and quality requirements; The printing paths include the serpentine path, straight path, spiral path, and double-line path; For example, the spiral path is suitable for cylindrical or similar-shaped objects and can effectively reduce the idle travel of the print head and improve the printing efficiency.

[0095] Optimize the support structure: Minimize the use of the support structure by using bridging techniques, adjusting angles, etc.; Use water-soluble supports; The water-soluble support structure is easy to remove by soaking or other means after printing and is suitable for objects that require fine details or complex structures, such as human sculptures, mechanical parts, etc.

[0096] Adjust the printing temperature: Adjust the nozzle temperature and the heated bed temperature according to the melt index of the material; For example, for ABS material, the nozzle temperature is usually between 230°C and 245°C, and the required heated bed temperature is above 85°C.

[0097] Optimize the heated bed design: Replace the heated bed and the heating element to ensure uniform temperature distribution on the surface of the heated bed; Adopt heat dissipation devices, such as heat sinks, fans, etc., to improve the heat dissipation efficiency of the heated bed.

[0098] Adjust the printing speed: Through the dynamic speed adjustment function of modern 3D printing slicing software (such as Cura, PrusaSlicer, etc.), set different printing speeds according to different regions of the model. For example, for the fine parts of the public building, a lower printing speed can be set to ensure accuracy and details; For the simple parts or large-area filling regions of the public building, a higher printing speed can be set to improve the efficiency.

[0099] Through the above steps, the quality and efficiency of 3D printing public buildings are improved.

[0100] Further, the specific method for obtaining the operation performance evaluation value by evaluating according to the optimized total carbon emissions and the obtained operation performance data is as follows: Obtain the heat transfer coefficient (i.e., CR) according to the relative relationship of the conducted heat, heat transfer area, temperature difference of heat transfer on both sides of the public building materials to be detected, and heat transfer time, and process the heat transfer coefficient and the preset heat transfer coefficient in the database to obtain the heat transfer coefficient deviation (i.e., ); Obtain the total carbon emissions deviation (i.e., ) according to the relative relationship between the optimized total carbon emissions and the preset total carbon emissions in the database. The total emissions deviation is obtained by performing a ratio operation on the total carbon emissions and the preset total carbon emissions in the database; Obtain the energy consumption deviation according to the relative relationship between the energy consumption and the preset energy consumption in the database; Process the heat transfer coefficient deviation, total carbon emissions deviation, energy consumption deviation and thermal expansion coefficient stability index to obtain the operation performance evaluation value.

[0101] Among them, the specific method for obtaining the operation performance evaluation value is:

[0102] ;

[0103] ;

[0104] In the formula, JZ represents the operation 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 detected, 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 the building system type, , H represents the total number of building system types, represents the consumption of the b-th type of energy of the h-th type of building system, represents the preset energy consumption, RL represents the conducted heat, MJ represents the heat transfer area, WDC represents the temperature difference of heat transfer on both sides of the public building materials to be detected, and CSJ represents the heat transfer time.

[0105] In this embodiment, the preset total carbon emissions are set according to the consumption of materials. For example, the carbon emissions of 1 ton of waste plastic from production to final combustion are 6.8×10 8 kg. If the material consumption is 1 ton, the preset total carbon emissions are 6.8×10 8kg; The preset energy consumption is represented by the average value of the consumption of the corresponding energy type within the historical time period; The preset heat transfer coefficient is set according to building standards. For example, for low-rise buildings, the average heat transfer coefficient of the exterior wall needs to be reduced to no more than 0.8 W / (m·K).

[0106] Taking the optimized printing performance evaluation value of 3.387, the preset heat transfer coefficient of 1 W / (m·K), the preset total carbon emissions over the entire life cycle of 6.8×10 8 kg, the total number of energy types being 1, the total number of building system types being 1, the preset energy consumption of 1000 kWh, and the thermal expansion coefficient within the preset thermal expansion coefficient range as an example, the statistical table of the change in the operation performance evaluation value is shown in Table 2:

[0107] Table 2 Statistical table of the change in the operation performance evaluation value

[0108]

[0109] It can be seen from the first and second groups of data in the table that the operation performance evaluation value decreases as the heat transfer coefficient increases; It can be seen from the second and third groups of data that the operation performance evaluation value decreases as the total carbon emissions increase; It can be seen from the third and fourth groups of data that the operation performance evaluation value decreases as the energy consumption increases.

[0110] In this algorithm, the operation performance evaluation value involves processing multiple independent variables (printing performance evaluation value, heat transfer coefficient, total carbon emissions, energy consumption), and there are mutual influence relationships among these independent variables; The larger the printing performance evaluation value, the less maintenance work can be reduced, which in turn leads to a decrease in the total carbon emissions; If the heat transfer coefficients of parts such as the exterior wall and roof of the building are lower, it means that these parts have better heat insulation performance, which can reduce the heat dissipation or absorption, thereby reducing the energy consumption of the 3D-printed public building; The greater the energy consumption of the building, it means that more energy needs to be consumed during the operation stage of the building to meet its usage requirements, and the consumption of energy will generate corresponding carbon emissions, thereby leading to an increase in the total carbon emissions.

[0111] Through the above steps, the overall performance of the 3D-printed public building is quantitatively evaluated, and thus the improvement of the overall performance of the public building and the reduction of carbon emissions are achieved.

[0112] Further, the specific process of determining whether to optimize the operation process based on the obtained operation performance evaluation value is as follows: Determine 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, then optimize the operation process; If the operation performance evaluation value is not less than the preset building performance threshold in the database, then do not optimize the operation process; The operation process optimization includes material optimization, construction optimization, and operation energy optimization; The material optimization is optimized according to the application scenarios of public buildings; The construction optimization includes setting expansion joints and flexible connections.

[0113] In this embodiment, the preset building performance threshold is represented by the maximum value of the operation performance evaluation value within the historical time period; If the public building is placed outdoors, the materials are optimized to materials that meet the requirements of structural strength and heat insulation performance. For example, for the outdoor version of WORKX NOW products, materials with high strength and good durability are selected, such as specially treated steel or concrete composite materials, to ensure the structural stability and safety of the products, and high-quality thermal insulation materials, such as rock wool boards and extruded polystyrene foam boards, are used to improve the heat insulation performance of the products and reduce energy consumption.

[0114] Specifically, if the public building is placed indoors, the materials are optimized to lightweight structures and recyclable materials. For example, for the indoor version of WORKX NOW products, lightweight and high-strength materials, such as aluminum alloy and carbon fiber, are selected to reduce the self-weight and installation cost of the products, and recyclable and reusable materials, such as waste plastics (after pretreatment) and waste wood, are preferably used.

[0115] The construction optimization mainly uses 3D printing methods. In the past, construction mainly used in-situ methods or precast components through templates, both of which required additional templates, and the template materials would generate a large amount of carbon emissions. 3D printing saves template materials and reduces carbon emissions; Expansion joints are usually set at locations where the building structure changes greatly, is stressed complexly, or is prone to temperature stress, such as building corners, height changes, and structural type changes, etc.; The width of the expansion joint should be greater than or equal to the maximum deformation amount generated by the coefficient of thermal expansion.

[0116] Flexible connections are used at the joints of the building structure, 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.

[0117] The operation energy optimization also includes: Dynamically adjusting the air-conditioning temperature according to the indoor and outdoor temperatures. For example, in summer, the air-conditioning temperature is set at about 26°C; Optimizing according to the air-conditioning usage time period. For example, when there is no one using it at night, the air-conditioning can be turned off; Optimizing according to passive methods. For example, ventilation openings are set, and under the premise that the outdoor temperature of the public building is comfortable, natural ventilation can be used to adjust the indoor temperature.

[0118] Through the above steps, the improvement of the environmental performance of 3D-printed public buildings is achieved, and further, the improvement of the overall long-term stability of 3D-printed public buildings is realized.

[0119] As Figure 7 shown, the figure is a schematic flowchart of a carbon emission management system for reducing the carbon emissions in the life cycle of public buildings provided by an embodiment of the present application. The carbon emission management method for reducing the carbon emissions in the life cycle of public buildings provided by the embodiment of the present application is characterized by including the following steps: S1, material performance evaluation: evaluating according to the obtained material performance data to obtain a material performance evaluation value, and judging whether to optimize the material based on the obtained material performance evaluation value. The material performance evaluation value is used to quantitatively evaluate the overall performance of the public building materials to be detected; S2, printing performance evaluation: if the material is optimized, evaluating according to the obtained printing performance data to obtain a printing performance evaluation value, and judging whether to optimize the printing process based on the obtained printing performance evaluation value. The printing performance evaluation value is used to quantitatively evaluate the quality of 3D-printed public buildings; S3, operation performance evaluation: if the printing process is optimized, evaluating according to the obtained carbon emission data to obtain the total carbon emissions, and judging whether to optimize the carbon emissions based on the total carbon emissions. If the carbon emissions are optimized, evaluating according to the optimized total carbon emissions and the obtained operation performance data to obtain an operation performance evaluation value, and judging whether to optimize the operation process based on the obtained operation performance evaluation value. The operation performance evaluation value is used to quantitatively evaluate the overall performance of 3D-printed public buildings.

[0120] In this embodiment, the overall optimization of the 3D-printed public building design includes material optimization, printing process optimization, and operation process optimization; by evaluating the material performance, the material quality is improved, the environmental load is reduced, and the carbon emissions of the materials are reduced; the optimization of the 3D printing process helps to ensure that the printed public building has sufficient accuracy and strength, avoiding material waste and structural problems caused by errors; the operation performance evaluation ensures the safety and durability of the public building during its life cycle, while reducing the carbon emissions generated by maintenance and repair; thereby, the improvement of the accuracy of carbon emission management for public buildings combined with 3D printing technology is realized.

[0121] In summary, in the embodiment of the present application, it is judged whether to optimize the material based on the material performance evaluation value obtained from the material performance data, then it is judged whether to optimize the printing process based on the printing performance evaluation value obtained from the printing performance data, and finally it is judged whether to optimize the operation process based on the operation performance evaluation value obtained from the operation performance data, thereby reducing the carbon emissions in the life cycle of public buildings, and further realizing the improvement of the accuracy of carbon emission management for public buildings combined with 3D printing technology, effectively solving the problem of low relevance between the performance of 3D-printed public buildings and carbon emission management in the prior art.

[0122] Those skilled in the art will appreciate that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) that contain computer-usable program code.

[0123] The present invention is described with reference to the 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 flow and / or block in the flowchart and / or block diagram, as well as the combination of flows 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 the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in one Figure 1 flow or multiple flows and / or blocks Figure 1 or multiple blocks.

[0124] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing devices to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that implement the functions specified in one Figure 1 flow or multiple flows and / or blocks Figure 1 or multiple blocks.

[0125] These computer program instructions can also be loaded onto a computer or other programmable data processing devices, such that a series of operation steps are executed on the computer or other programmable devices to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable devices provide steps for implementing the functions specified in one Figure 1 flow or multiple flows and / or blocks Figure 1 or multiple blocks.

[0126] Although the preferred embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications once they learn the basic creative concepts. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications falling within the scope of the present invention.

[0127] Obviously, those skilled in the art can make various modifications and variations 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 equivalent technologies, the present invention also intends to include these modifications and variations.

Claims

1. A carbon emission management system for reducing the carbon emissions in the life cycle of public buildings, characterized in that, Including: A material property evaluation module, a printing property evaluation module, and an operating property evaluation module; Among them, the material property evaluation module is used to evaluate based on the obtained material property data to obtain a material property evaluation value, and judge whether to perform material optimization based on the obtained material property evaluation value. The material property evaluation value is used to quantitatively evaluate the overall performance of the public building materials to be detected; The printing property evaluation module is used to, if material optimization is performed, evaluate based on the obtained printing property data to obtain a printing property evaluation value, and judge whether to perform printing process optimization based on the obtained printing property evaluation value. The printing property evaluation value is used to quantitatively evaluate the quality of 3D printed public buildings; The operating property evaluation module is used to, if printing process optimization is performed, evaluate based on the obtained carbon emission data to obtain the total carbon emission, judge whether to perform carbon emission optimization based on the total carbon emission. If carbon emission optimization is performed, evaluate based on the optimized total carbon emission and the obtained operating property data to obtain an operating property evaluation value, and judge whether to perform operating process optimization based on the obtained operating property evaluation value. The operating property evaluation value is used to quantitatively evaluate the overall performance of 3D printed public buildings; The material property data includes tensile strength, flexural strength, UV resistance index, and total material carbon emissions; The printing property data includes layer thickness deviation, printing error, melt index, printing temperature fluctuation coefficient, printing rate, and printing energy consumption; The operating property data includes heat conduction, heat transfer area, temperature difference of heat transfer on both sides of the public building materials to be detected, heat transfer time, and energy consumption; The carbon emission data includes the consumption of the public building materials to be detected and the corresponding carbon emission factor, the transportation distance of the public building materials to be detected and the carbon emission factor per unit weight of transportation distance, the shift volume of construction machinery 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; The specific method for obtaining the material property evaluation value is: Wherein, i represents the number of the types of public building materials to be detected, i = 1, 2,..., N, and N represents the total number of the types of public building materials to be detected, CL i represents the material performance evaluation value of the i-th type of public building materials to be detected, LAS i represents the tensile strength of the i-th type of public building materials to be detected, W AQ i represents the flexural strength of the i-th type of public building materials to be detected, K ZW i represents the ultraviolet resistance index of the i-th type of public building materials to be detected, C TA i represents the total carbon emissions of the i-th type of public building materials to be detected, LAS0 represents the preset tensile strength, W AQ0 represents the preset flexural strength, K ZW0 represents the preset ultraviolet resistance index, and C TA0 represents the preset total carbon emissions of the material; The specific method for obtaining the printing property evaluation value is: Wherein, i represents the number of types of public building materials to be detected, i = 1, 2,..., N, N represents the total number of types of public building materials to be detected, DY represents the printing performance evaluation value, CL i ′ represents the optimized material performance evaluation value of the i-th type of public building materials to be detected, DY1 represents the first printing coefficient, DY2 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, NHA0 represents the preset printing energy consumption, SLV min represents the preset minimum printing speed, SLV max represents the preset maximum printing speed, CHD represents the layer thickness deviation, DAY represents the printing error, CHD0 represents the preset layer thickness deviation, DAY0 represents the preset printing error, RRO represents the melt index, WKJ represents the printing temperature fluctuation coefficient, RRO min represents the preset minimum melt index, RRO max represents the preset maximum melt index, WKJ0 represents the preset printing temperature fluctuation coefficient; The specific method for obtaining the operating property evaluation value is: Wherein, JZ represents the operation performance evaluation value, DY' represents the optimized printing performance evaluation value, CR represents the heat transfer coefficient, CR0 represents the preset heat transfer coefficient, QTA represents the total carbon emissions of the building to be detected, QTA0 represents the preset total carbon emissions, b represents the number of the energy type, b = 1, 2,..., B, B represents the total number of energy types, h represents the number of the building system type, h = 1, 2,..., H, H represents the total number of building system types, E b.h represents the consumption of the b-th type of energy of the h-th type of building system, and E0 represents the preset energy consumption.

2. The carbon emission management system for reducing the carbon emissions during the life cycle of a public building according to claim 1, characterized in that, The specific method for evaluating based on the obtained material property data to obtain the material property evaluation value is as follows: Obtain the tensile strength deviation according to the relative relationship between the tensile strength and the preset tensile strength in the database; Obtain the flexural strength deviation according to the relative relationship between the flexural strength and the preset flexural strength in the database; Obtain the UV resistance index deviation according to the relative relationship between the UV resistance index and the preset UV resistance index in the database; Obtain the total material carbon emission deviation according to the relative relationship between the total material carbon emissions and the preset total material carbon emissions in the database; Process the tensile strength deviation, flexural strength deviation, UV resistance index deviation, and total material carbon emission deviation to obtain the material property evaluation value.

3. The carbon emission management system for reducing the carbon emissions during the life cycle of a public building as claimed in claim 1, wherein, The specific process for judging whether to perform material optimization based on the obtained material property evaluation value is as follows; Judge whether the material property evaluation value is less than the preset material property threshold in the database: If the material property evaluation value is less than the preset material property threshold in the database, perform material optimization; If the evaluated value of the material properties is not less than the preset material property threshold in the database, no material optimization is performed; The material optimization is achieved by prompting the preset personnel to classify, clean, preprocess, and add fillers to the public building materials to be tested.

4. The carbon emission management system for reducing the carbon emissions during the life cycle of a public building as claimed in claim 1, wherein, The specific method for evaluating the printing performance value based on the obtained printing performance data is as follows: Obtain the layer thickness deviation coefficient according to the relative relationship between the layer thickness deviation and the preset layer thickness deviation in the database; Obtain the printing error coefficient according to the relative relationship between the printing error and the preset printing error in the database, and process the obtained layer thickness deviation coefficient and printing error coefficient to obtain the error coefficient; If the melt index is not within the preset melt index range in the database, obtain the melt index deviation according to the relative relationship between the melt index and the preset melt index range in the database, otherwise record the melt index deviation as 0; Obtain the printing temperature fluctuation coefficient deviation according to the relative relationship between the printing temperature fluctuation coefficient and the preset printing temperature fluctuation coefficient in the database; Process the obtained melt index deviation and printing temperature fluctuation coefficient deviation to obtain the temperature influence coefficient; Obtain the printing energy consumption deviation according to the relative relationship between the printing energy consumption and the preset printing energy consumption in the database; If the printing speed is not within the preset printing speed range, obtain the printing speed deviation according to the relative relationship between the printing speed and the preset printing speed range in the database, otherwise record the printing speed deviation as 0; Combine the obtained error coefficient, temperature influence coefficient, printing speed deviation, and printing energy consumption deviation to obtain the printing performance evaluation value.

5. The carbon emission management system for reducing the carbon emissions in the life cycle of a public building according to claim 1, wherein The specific process for determining whether to perform printing process optimization based on the obtained printing performance evaluation value is as follows: Judge 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, perform printing process optimization; If the printing performance evaluation value is not less than the preset printing temperature threshold in the database, no printing process optimization is performed; 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.

6. The carbon emission management system for reducing the carbon emissions in the life cycle of a public building according to claim 1, wherein The specific method for evaluating the operation performance value based on the optimized total carbon emission and the obtained operation performance data is as follows: Obtain the heat transfer coefficient according to the relative relationship between the conductive heat, heat transfer area, heat transfer temperature difference on both sides of the public building materials to be tested, and heat transfer time, and process the heat transfer coefficient and the preset heat transfer coefficient in the database to obtain the heat transfer coefficient deviation; Obtain the total carbon emission deviation according to the relative relationship between the optimized total carbon emission and the preset total carbon emission in the database; Obtain the energy consumption deviation according to the relative relationship between the energy consumption and the preset energy consumption in the database; Process the heat transfer coefficient deviation, total carbon emission deviation, and energy consumption deviation to obtain the operation performance evaluation value.

7. The carbon emission management system for reducing the carbon emissions during the life cycle of a public building according to claim 1, wherein, The specific process for determining whether to perform operation process optimization based on the obtained operation performance evaluation value is as follows: If the running performance evaluation value is less than the preset building performance threshold in the database, the running process is optimized; If the running performance evaluation value is not less than the preset building performance threshold in the database, the running process is not optimized; The running process optimization includes material optimization, construction optimization, and running energy optimization.

8. A method applied to the carbon emission management system for reducing the life cycle of public buildings according to any one of claims 1-7, characterized in that, It includes the following steps: S1. Evaluate based on the obtained material performance data to get a material performance evaluation value, and judge whether to perform material optimization based on the obtained material performance evaluation value. The material performance evaluation value is used to quantitatively evaluate the overall performance of the public building materials to be detected; S2. If material optimization is performed, evaluate based on the obtained printing performance data to get a printing performance evaluation value, and judge whether to perform printing process optimization based on the obtained printing performance evaluation value. The printing performance evaluation value is used to quantitatively evaluate the quality of the 3D printed public building; S3. If printing process optimization is performed, evaluate based on the obtained carbon emission data to get the total carbon emission, judge whether to perform carbon emission optimization based on the total carbon emission. If carbon emission optimization is performed, evaluate based on the optimized total carbon emission and the obtained running performance data to get a running performance evaluation value, and judge whether to perform running process optimization based on the obtained running performance evaluation value. The running performance evaluation value is used to quantitatively evaluate the overall performance of the 3D printed public building; The material performance data includes tensile strength, flexural strength, UV resistance index, and total material carbon emission; The printing performance data includes layer thickness deviation, printing error, melt index, printing temperature fluctuation coefficient, printing rate, and printing energy consumption; The running performance data includes conductive heat, heat transfer area, temperature difference of heat transfer on both sides of the public building materials to be detected, heat transfer time, and energy consumption; The carbon emission data includes the consumption of the public building materials to be detected and the corresponding carbon emission factor, the transportation distance of the public building materials to be detected and the carbon emission factor per unit weight of transportation distance, the shift volume of construction machinery 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.

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