A design method, device, electronic device and storage medium for a precast composite wall

Abstract

This application relates to the fields of green and low-carbon technologies and structural design technologies. This application discloses a design method, device, electronic device, and storage medium for a precast composite wall. The method includes: obtaining the mechanical data, construction data, and cost data of the precast composite wall; generating the flexural bearing capacity of the precast composite wall according to the mechanical data and a preset mechanical evaluation model; generating the total carbon emissions of the precast composite wall according to the construction data and a preset carbon emissions evaluation model; generating the total cost of the precast composite wall according to the cost data and a preset cost evaluation model; when the flexural bearing capacity of the precast composite wall is greater than the flexural bearing demand value, generating a collaborative efficiency coefficient of the design data of the precast composite wall according to the flexural bearing capacity of the precast composite wall, the total cost of the precast composite wall, the total carbon emissions of the precast composite wall, and a preset collaborative efficiency model. This application can quantify the collaborative effect of the design data of the precast composite wall.

Description

Technical Field

[0001] The present application relates to the technical fields of green and low-carbon technologies and structural design technologies, and particularly relates to a design method, device, electronic device, and storage medium for a precast composite wall. Background Art

[0002] The precast composite wall combines two construction technologies of cast-in-place and precast. It can not only reduce material waste to a certain extent, reduce on-site labor requirements, and improve construction efficiency, but also ensure the integrity of the structure, enhance the waterproof performance and connectivity of the joints. Under the background of promoting high-quality construction and green and low-carbon construction in China, the precast composite wall has been widely demonstrated and applied in recent years.

[0003] The design data of the precast composite wall is simply referred to as: precast composite wall design data. Since the structure of the precast composite wall contains both precast and cast-in-place parts, too much cast-in-place part will reduce construction efficiency and structural load-bearing performance, while too much precast part will affect the operation efficiency of the industrial chain and bring a certain increase in the upfront construction cost. Therefore, the precast composite wall design data needs to coordinate multiple parameters.

[0004] However, it is difficult for the existing technology to determine the coordination efficiency coefficient of the precast composite wall design data, and it is impossible to quantify the coordination effect of the precast composite wall design data, which is not conducive to improving the comprehensive benefits of engineering construction and the operation efficiency of the industrial chain. How to determine the coordination efficiency coefficient of the precast composite wall design data is an urgent problem to be solved. Summary of the Invention

[0005] Embodiments of the present application provide a design method, device, electronic device, and storage medium for a precast composite wall to solve the technical problem of how to determine the coordination efficiency coefficient of the precast composite wall design data.

[0006] In a first aspect, embodiments of the present application provide a design method for a precast composite wall, which is applied to an electronic device. The design method for the precast composite wall includes:

[0007] Obtain the precast composite wall design data, and obtain the mechanical data, construction data, and cost data of the precast composite wall from the precast composite wall design data;

[0008] Generate the flexural bearing capacity of the precast composite wall according to the mechanical data and a preset mechanical evaluation model;

[0009] Generate the total carbon emissions of the precast composite wall according to the construction data and a preset carbon emissions evaluation model;

[0010] Generate the total cost of the precast composite wall according to the cost data and a preset cost evaluation model;

[0011] When the flexural bearing capacity of the precast composite wall is greater than the flexural bearing capacity requirement value, a collaborative efficiency coefficient of the precast composite wall design data is generated according to the flexural bearing capacity of the precast composite wall, the total cost of the precast composite wall, the total carbon emissions of the precast composite wall, and a preset collaborative efficiency model.

[0012] In a possible implementation manner of the first aspect, the obtaining of the precast composite wall design data and obtaining the mechanical data, construction data, and cost data of the precast composite wall from the precast composite wall design data include:

[0013] Access the database and obtain the precast composite wall design data from the database;

[0014] Obtain the mechanical data, construction data, and cost data of the precast composite wall from the precast composite wall design data.

[0015] In a possible implementation manner of the first aspect, the generating of the flexural bearing capacity of the precast composite wall according to the mechanical data and a preset mechanical evaluation model includes:

[0016] In the mechanical data, obtain the width of the precast composite wall, the total thickness of the precast composite wall, the distance from the tensile reinforcement in the tensile zone to the outer edge of the tensile zone, the distance from the compressive reinforcement in the compressive zone to the outer edge of the compressive zone, the relative height of the compressive zone of the section, the average height of the compressive zone, the tensile strength of the reinforcement, the compressive strength of the reinforcement, the tensile area of the reinforcement, the compressive area of the reinforcement, the compressive thickness of the cast-in-place concrete, the compressive thickness of the precast concrete, the compressive thickness of the cast-in-place concrete, the design value of the compressive strength of the cast-in-place concrete, the design value of the compressive strength of the precast concrete, the average design value of the compressive strength of the concrete, the reinforcement ratio, and half of the total thickness of the precast composite wall;

[0017] Generate the flexural bearing capacity of the precast composite wall according to the width of the precast composite wall, the total thickness of the precast composite wall, the distance from the tensile reinforcement in the tensile zone to the outer edge of the tensile zone, the distance from the compressive reinforcement in the compressive zone to the outer edge of the compressive zone, the relative height of the compressive zone of the section, the average height of the compressive zone, the tensile strength of the reinforcement, the compressive strength of the reinforcement, the tensile area of the reinforcement, the compressive area of the reinforcement, the compressive thickness of the cast-in-place concrete, the compressive thickness of the precast concrete, the compressive thickness of the cast-in-place concrete, the design value of the compressive strength of the cast-in-place concrete, the design value of the compressive strength of the precast concrete, the average design value of the compressive strength of the concrete, the reinforcement ratio, half of the total thickness of the precast composite wall, and a preset mechanical evaluation model.

[0018] In a possible implementation manner of the first aspect, the generating of the total carbon emissions of the precast composite wall according to the construction data and a preset carbon emission evaluation model includes:

[0019] In the construction data, obtain the consumption of each material of the precast composite wall in the production stage, the carbon emission coefficient of each material of the precast composite wall in the production stage, the number of recycling times, the transportation distance of each material of the precast composite wall in the transportation stage, the transportation weight of each material of the precast composite wall in the transportation stage, the carbon emission coefficient of each material of the precast composite wall in the transportation stage, the usage duration of each machine of the precast composite wall in the construction stage, the energy consumption of each machine of the precast composite wall in the construction stage, and the carbon emission coefficient corresponding to each machine of the precast composite wall in the construction stage;

[0020] According to the consumption of each material of the precast composite wall in the production stage, the carbon emission coefficient of each material of the precast composite wall in the production stage, the number of recycling times, the transportation distance of each material of the precast composite wall in the transportation stage, the transportation weight of each material of the precast composite wall in the transportation stage, the carbon emission coefficient of each material of the precast composite wall in the transportation stage, the usage duration of each machine of the precast composite wall in the construction stage, the energy consumption of each machine of the precast composite wall in the construction stage, the carbon emission coefficient corresponding to each machine of the precast composite wall in the construction stage, and a preset carbon emission assessment model, generate the total carbon emission of the precast composite wall.

[0021] In a possible implementation manner of the first aspect, the generating the total cost of the precast composite wall according to the cost data and a preset cost assessment model includes:

[0022] In the cost data, obtain the consumption of each material of the precast composite wall in the production stage, the unit price of each material of the precast composite wall in the production stage, the transportation distance of each material of the precast composite wall in the transportation stage, the transportation weight of each material of the precast composite wall in the transportation stage, the transportation unit price of each material of the precast composite wall in the transportation stage, the usage duration of each machine of the precast composite wall in the construction stage, the energy unit price corresponding to each machine of the precast composite wall in the construction stage, the working days of workers of each type of work of the precast composite wall in the construction stage, and the daily wage of workers of each type of work;

[0023] According to the consumption of each material of the precast composite wall in the production stage, the unit price of each material of the precast composite wall in the production stage, the transportation distance of each material of the precast composite wall in the transportation stage, the transportation weight of each material of the precast composite wall in the transportation stage, the transportation unit price of each material of the precast composite wall in the transportation stage, the usage duration of each machine of the precast composite wall in the construction stage, the energy unit price corresponding to each machine of the precast composite wall in the construction stage, the working days of workers of each type of work of the precast composite wall in the construction stage, the daily wage of workers of each type of work, and a preset cost assessment model, generate the total cost of the precast composite wall.

[0024] In a possible implementation of the first aspect, when the flexural bearing capacity of the precast composite wall is greater than the flexural bearing capacity requirement value, after generating the collaborative efficiency coefficient of the precast composite wall design data according to the flexural bearing capacity of the precast composite wall, the total cost of the precast composite wall, the total carbon emissions of the precast composite wall, and a preset collaborative efficiency model, the design method of the precast composite wall includes:

[0025] Obtain the collaborative efficiency coefficients of multiple precast composite wall design data;

[0026] Sort the collaborative efficiency coefficients of multiple precast composite wall design data, and select the precast composite wall design data with the smallest collaborative efficiency coefficient as the optimal precast composite wall design data.

[0027] In a possible implementation of the first aspect, the collaborative efficiency model is:

[0028] ;

[0029] Wherein, is the collaborative efficiency coefficient of the precast composite wall design data, is the flexural bearing capacity of the precast composite wall, is the total carbon emissions of the precast composite wall, is the total cost of the precast composite wall.

[0030] In a second aspect, an embodiment of the present application provides a design device for a precast composite wall, which is applied to an electronic device and includes:

[0031] An acquisition module, configured to acquire precast composite wall design data, and acquire the mechanical data, construction data, and cost data of the precast composite wall from the precast composite wall design data;

[0032] A first generation module, configured to generate the flexural bearing capacity of the precast composite wall according to the mechanical data and a preset mechanical evaluation model;

[0033] A second generation module, configured to generate the total carbon emissions of the precast composite wall according to the construction data and a preset carbon emissions evaluation model;

[0034] A third generation module, configured to generate the total cost of the precast composite wall according to the cost data and a preset cost evaluation model;

[0035] A design module, configured to generate the collaborative efficiency coefficient of the precast composite wall design data according to the flexural bearing capacity of the precast composite wall, the total cost of the precast composite wall, the total carbon emissions of the precast composite wall, and a preset collaborative efficiency model when the flexural bearing capacity of the precast composite wall is greater than the flexural bearing capacity requirement value.

[0036] In a third aspect, an embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the design method of the precast composite wall according to any one of the above first aspects is implemented.

[0037] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the design method of the precast composite wall according to any one of the above first aspects is implemented.

[0038] In a fifth aspect, an embodiment of the present application provides a computer program product, and when the computer program product runs on an electronic device, the electronic device is enabled to execute the design method of the precast composite wall according to any one of the above first aspects.

[0039] The beneficial effects of the embodiments of the present application compared with the prior art are as follows:

[0040] The beneficial effects of the embodiments of the present application lie in two aspects. On the one hand, when the flexural bearing capacity of the precast composite wall is greater than the flexural bearing capacity requirement value, according to the flexural bearing capacity of the precast composite wall, the total cost of the precast composite wall, the total carbon emissions of the precast composite wall, and a preset collaborative efficiency model, a collaborative efficiency coefficient of the design data of the precast composite wall is generated, solving the technical problem of how to determine the collaborative efficiency coefficient of the design data of the precast composite wall. In addition, since no manual intervention is required, the acquisition time of the collaborative efficiency coefficient of the design data of the precast composite wall is reduced, which is beneficial to improving the acquisition efficiency of the collaborative efficiency coefficient of the design data of the precast composite wall. On the other hand, through the collaborative efficiency coefficient of the design data of the precast composite wall, the collaborative effect of the design data of the precast composite wall can be quantified; among them, the smaller the collaborative efficiency coefficient of the design data of the precast composite wall, the less carbon dioxide emissions released by the design data of the precast composite wall under the condition of achieving the same mechanical properties and cost, indicating that the resource waste degree of the design data of the precast composite wall is smaller and the negative impact on the environment is smaller, and the collaborative effect of the design data of the precast composite wall is better; among them, the larger the collaborative efficiency coefficient of the design data of the precast composite wall, the more carbon dioxide emissions released by the design data of the precast composite wall under the condition of achieving the same mechanical properties and cost, indicating that the resource waste degree of the design data of the precast composite wall is larger and the negative impact on the environment is larger, and the collaborative effect of the design data of the precast composite wall is worse. Description of the Drawings

[0041] To more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those skilled in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0042] Figure 1 It is an application scenario diagram of the design method of the precast composite wall provided by the embodiment of the present application;

[0043] Figure 2 It is a schematic flow chart of the design method of the precast composite wall provided by the embodiment of the present application;

[0044] Figure 3 It is a flow chart showing the processing result of the display list provided by the embodiment of the present application;

[0045] Figure 4 It is a schematic block diagram of the design device of the precast composite wall provided by the embodiment of the present application;

[0046] Figure 5 It is a schematic structural diagram of the electronic device provided by the embodiment of the present application;

[0047] Figure 6 It is a sample diagram of the cross-section of the precast composite wall provided by the embodiment of the present application. Detailed implementation manners

[0048] In order to make the purpose, technical solutions and advantages of the present application clearer, the following further details the present application in conjunction with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0049] The design method of the precast composite wall provided by the embodiment of the present application can be applied to electronic devices such as mobile phones, tablet computers, wearable devices, vehicle-mounted devices, notebook computers, personal computers, netbooks, and personal digital assistants (PDAs). The specific types of electronic devices are not limited in the embodiments of the present application.

[0050] Please refer to Figure 1 , Figure 1 It is an application scenario diagram of the design method of the precast composite wall provided by the embodiment of the present application, which is described in detail as follows:

[0051] The electronic device accesses the database and obtains the precast composite wall design data from the database;

[0052] Obtain the mechanical data, construction data, and cost data of the precast composite wall from the precast composite wall design data.

[0053] In the embodiment of the present application, the electronic device can access the database and obtain the precast composite wall design data from the database.

[0054] Please refer to Figure 2 , Figure 2 which is a schematic flowchart of the design method of the precast composite wall provided by the embodiment of the present application. This method can be applied to an electronic device.

[0055] As Figure 2 shown, the design method of the precast composite wall provided by the embodiment of the present application includes the following steps, which are described in detail as follows:

[0056] S201, Obtain the precast composite wall design data, and obtain the mechanical data, construction data, and cost data of the precast composite wall from the precast composite wall design data;

[0057] Among them, the precast composite wall is an industrialized prefabricated building component, which realizes efficient construction and structural optimization through the processes of factory prefabrication and on-site composite casting. The precast composite wall improves the construction efficiency and reduces the amount of construction waste on site.

[0058] Among them, obtaining the precast composite wall design data, the precast composite wall design data clarifies the key parameters of the precast composite wall, which can ensure the building specifications and load requirements of the precast composite wall and avoid potential structural safety hazards caused by design defects.

[0059] S202, Generate the flexural bearing capacity of the precast composite wall according to the mechanical data and a preset mechanical evaluation model;

[0060] Among them, the step of generating the flexural bearing capacity of the precast composite wall according to the mechanical data and a preset mechanical evaluation model includes:

[0061] From the mechanical data, obtain the width of the precast composite wall, the total thickness of the precast composite wall, the distance from the tensile steel bar to the outer edge of the tensile zone, the distance from the compressive steel bar to the outer edge of the compressive zone, the relative compressive zone height of the section, the average compressive zone height, the tensile strength of the steel bar, the compressive strength of the steel bar, the tensile area of the steel bar, the compressive area of the steel bar, the compressive thickness of the cast-in-place concrete, the compressive thickness of the precast concrete, the compressive thickness of the cast-in-place concrete, the design value of the compressive strength of the cast-in-place concrete, the design value of the compressive strength of the precast concrete, the average design value of the compressive strength of the concrete, the reinforcement ratio, and half of the total thickness of the precast composite wall;

[0062] Generate the flexural bearing capacity of the precast composite wall according to the width of the precast composite wall, the total thickness of the precast composite wall, the distance from the tensile reinforcement in the tension zone to the outer edge of the tension zone, the distance from the compressive reinforcement in the compression zone to the outer edge of the compression zone, the relative height of the compression zone of the section, the average height of the compression zone, the tensile strength of the reinforcement, the compressive strength of the reinforcement, the tensile area of the reinforcement, the compressive area of the reinforcement, the compressive thickness of the cast-in-place concrete, the compressive thickness of the precast concrete, the compressive thickness of the cast-in-place concrete, the design value of the compressive strength of the cast-in-place concrete, the design value of the compressive strength of the precast concrete, the average design value of the compressive strength of the concrete, the reinforcement ratio, half of the total thickness of the precast composite wall, and a preset mechanical evaluation model.

[0063] Exemplarily, the mechanical evaluation model is:

[0064] ;

[0065] ;

[0066] ;

[0067] ;

[0068] ;

[0069] ;

[0070] Wherein, is the flexural bearing capacity of the precast composite wall, with the unit of kilonewton-meter.

[0071] is the width of the precast composite wall, with the unit of meter; is the total thickness of the precast composite wall, with the unit of meter;

[0072] refers to the distance from the tensile reinforcement in the tension zone to the outer edge of the tension zone, with the unit of meter; is the distance from the compressive reinforcement in the compression zone to the outer edge of the compression zone, with the unit of meter;

[0073] is the relative height of the compression zone of the section, with the unit of meter;

[0074] is the average height of the compression zone, with the unit of meter;

[0075] is the tensile strength of the reinforcement, with the unit of megapascal; is the compressive strength of the reinforcement, with the unit of megapascal;

[0076] is the tensile area of the reinforcement, with the unit of square, is the compression area of the steel bars, with the unit of square;

[0077] is the compression thickness of the cast-in-place concrete, with the unit of meter; is the compression thickness of the precast concrete, with the unit of meter;

[0078] is the design value of the compressive strength of the cast-in-place concrete, with the unit of megapascal; is the design value of the compressive strength of the precast concrete, with the unit of megapascal.

[0079] is the average design value of the compressive strength of the concrete;

[0080] is the reinforcement ratio; is one half of the total thickness of the precast composite wall. The mechanical evaluation model is the generation model of the flexural bearing capacity of the precast composite wall.

[0081] Among them, please refer to Figure 6 , Figure 6 which is the sample diagram of the cross-section of the precast composite wall provided by the embodiment of this application.

[0082] Figure 6 including , , , , ;

[0083] is the total thickness of the precast composite wall;

[0084] is the compression thickness of the cast-in-place concrete, with the unit of meter; is the compression thickness of the precast concrete, with the unit of meter;

[0085] is one half of the total thickness of the precast composite wall, that is one half of

[0086] refers to the distance from the steel bars in the tension zone to the outer edge of the tension zone, with the unit of meter; is the distance from the steel bars in the compression zone to the outer edge of the compression zone, with the unit of meter;

[0087] The cross-section of the precast composite wall consists of a compression zone and a tension zone. The black dots in the tension zone represent the cross-sections of the steel bars in the tension zone, and the black dots in the compression zone represent the cross-sections of the steel bars in the compression zone.

[0088] The shaded part of the cross section of the precast composite wall is cast-in-place concrete, and the blank area of the cross section of the precast composite wall is precast concrete.

[0089] Among them, the bending bearing capacity of the prefabricated composite wall refers to the maximum ability of the prefabricated composite wall to resist bending damage without failure when subjected to bending.

[0090] Among them, the flexural bearing capacity of prefabricated composite walls determines the ability of prefabricated composite walls to resist lateral loads. Through the flexural bearing capacity of prefabricated composite walls, it is possible to verify whether the design data meets the requirements of the specifications, thereby avoiding rework or reinforcement costs caused by insufficient flexural bearing capacity.

[0091] S203, generating the total carbon emission of the prefabricated composite wall according to the construction data and a preset carbon emission assessment model;

[0092] The total carbon emissions of the prefabricated composite wall are generated according to the construction data and the preset carbon emission assessment model, including:

[0093] From the construction data, obtain the consumption of each material of the prefabricated composite wall in the production stage, the carbon emission coefficient of each material of the prefabricated composite wall in the production stage, the number of recycling times, the transportation distance of each material of the prefabricated composite wall in the transportation stage, the transportation weight of each material of the prefabricated composite wall in the transportation stage, the carbon emission coefficient of each material of the prefabricated composite wall in the transportation stage, the use time of each machine of the prefabricated composite wall in the construction stage, the energy consumption of each machine of the prefabricated composite wall in the construction stage, and the carbon emission coefficient corresponding to each machine of the prefabricated composite wall in the construction stage;

[0094] The total carbon emissions of prefabricated composite walls are generated based on the consumption of each material in the production stage of prefabricated composite walls, the carbon emission coefficient of each material in the production stage of prefabricated composite walls, the number of recycling times, the transportation distance of each material in the transportation stage of prefabricated composite walls, the transportation weight of each material in the transportation stage of prefabricated composite walls, the carbon emission coefficient of each material in the transportation stage of prefabricated composite walls, the usage time of each machine in the construction stage of prefabricated composite walls, the energy consumption of each machine in the construction stage of prefabricated composite walls, the carbon emission coefficient corresponding to each machine in the construction stage of prefabricated composite walls and the preset carbon emission assessment model.

[0095] Exemplarily, the carbon emission assessment model is:

[0096] ;

[0097] in, is the total carbon emissions of prefabricated composite walls;

[0098] Is the serial number of the material, is the total quantity of materials;

[0099] is the consumption of the i-th material in the precast composite wall during the production stage;

[0100] is the carbon emission coefficient of the i-th material in the precast composite wall during the production stage;

[0101] is the number of recycling times;

[0102] is the transportation distance of the i-th material in the precast composite wall during the transportation stage;

[0103] is the transportation weight of the i-th material in the precast composite wall during the transportation stage;

[0104] is the carbon emission coefficient of the i-th material in the precast composite wall during the transportation stage;

[0105] is the usage duration of the j-th machine in the precast composite wall during the construction stage;

[0106] is the energy consumption of the j-th machine in the precast composite wall during the construction stage;

[0107] is the carbon emission coefficient corresponding to the j-th machine in the precast composite wall during the construction stage, where j is the serial number of the machine and K is the total number of machines.

[0108] The carbon emission assessment model is a generation model for the total carbon emissions of the precast composite wall.

[0109] Among them, the total carbon emissions of the precast composite wall refer to the sum of the greenhouse gas emissions directly or indirectly generated during the production stage, transportation stage, and construction stage of the precast composite wall. The total carbon emissions are in as the measurement unit.

[0110] Among them, (Carbon Dioxide Equivalent) is a standardized unit used to uniformly measure the impact of different greenhouse gases on global warming.

[0111] Among them, by continuously tracking the total carbon emissions of the precast composite wall, enterprises can formulate a scientific emission reduction path, and can also avoid in advance the risk of rising carbon costs that may occur in the future, achieving a win-win situation of environmental and economic benefits.

[0112] S204. Generate the total cost of the precast composite wall according to the cost data and the preset cost assessment model;

[0113] Among them, generating the total cost of the precast composite wall according to the cost data and a preset cost evaluation model includes:

[0114] In the cost data, obtain the consumption of each material in the production stage of the precast composite wall, the unit price of each material in the production stage of the precast composite wall, the transportation distance of each material in the transportation stage of the precast composite wall, the transportation weight of each material in the transportation stage of the precast composite wall, the transportation unit price of each material in the transportation stage of the precast composite wall, the usage duration of each machine in the construction stage of the precast composite wall, the energy unit price corresponding to each machine in the construction stage of the precast composite wall, the working days of workers of each type of work in the construction stage of the precast composite wall, and the daily wage of workers of each type of work;

[0115] Generate the total cost of the precast composite wall according to the consumption of each material in the production stage of the precast composite wall, the unit price of each material in the production stage of the precast composite wall, the transportation distance of each material in the transportation stage of the precast composite wall, the transportation weight of each material in the transportation stage of the precast composite wall, the transportation unit price of each material in the transportation stage of the precast composite wall, the usage duration of each machine in the construction stage of the precast composite wall, the energy unit price corresponding to each machine in the construction stage of the precast composite wall, the working days of workers of each type of work in the construction stage of the precast composite wall, and the daily wage of workers of each type of work, as well as a preset cost evaluation model.

[0116] Exemplarily, the cost evaluation model is:

[0117] ;

[0118] Among them, is the total cost of the precast composite wall;

[0119] is the serial number of the material, is the total quantity of the material;

[0120] is the consumption of the i-th material in the production stage of the precast composite wall;

[0121] is the unit price of the i-th material in the production stage of producing the precast composite wall;

[0122] is the number of recycling times;

[0123] is the transportation distance of the i-th material in the transportation stage of the precast composite wall;

[0124] is the transportation weight of the i-th material in the precast composite wall during the transportation stage;

[0125] is the transportation unit price of the i-th material in the precast composite wall during the transportation stage;

[0126] is the serial number of the machine, is the total number of machines;

[0127] is the usage duration of the j-th machine in the precast composite wall during the construction stage;

[0128] is the energy consumption of the j-th machine in the precast composite wall during the construction stage;

[0129] is the energy unit price corresponding to the j-th machine in the precast composite wall during the construction stage;

[0130] is the serial number of the worker, is the total number of workers;

[0131] is the working days of the workers of the w-th type of work in the precast composite wall during the production stage;

[0132] is the daily wage of the workers of the w-th type of work.

[0133] The cost assessment model is the generation model of the total cost of the precast composite wall.

[0134] In the construction industry, different types of work are responsible for different work contents.

[0135] Among them, the types of work include but are not limited to bricklayers, steel workers, electricians, and carpenters.

[0136] Among them, the total cost of the precast composite wall refers to the sum of the direct or indirect costs generated during the production stage, transportation stage, and construction stage of the precast composite wall.

[0137] Among them, through the total cost of the precast composite wall, the enterprise can identify the links with excessive costs, and implement process improvement, supply chain negotiation, or automation upgrade targeted to achieve cost reduction and efficiency improvement.

[0138] S205, when the flexural bearing capacity of the precast composite wall is greater than the flexural bearing capacity demand value, according to the flexural bearing capacity of the precast composite wall, the total cost of the precast composite wall, the total carbon emissions of the precast composite wall, and the preset collaborative efficiency model, generate the collaborative efficiency coefficient of the precast composite wall design data.

[0139] Among them, the flexural bearing capacity requirement value is the threshold for a structure or component to resist bending failure under the expected service conditions, and it is the core parameter to ensure the safety and reliability of engineering structures.

[0140] Among them, the collaborative efficiency model is:

[0141] ;

[0142] Among them, is the collaborative efficiency coefficient of the design data of the precast composite wall, is the flexural bearing capacity of the precast composite wall, is the total carbon emissions of the precast composite wall, is the total cost of the precast composite wall.

[0143] The collaborative efficiency model is the generation model of the collaborative efficiency coefficient of the design data of the precast composite wall.

[0144] Among them, the collaborative efficiency coefficient is the coefficient to measure the collaborative effect.

[0145] Through the collaborative efficiency coefficient of the design data of the precast composite wall, the collaborative effect of the design data of the precast composite wall can be quantified;

[0146] Among them, the smaller the collaborative efficiency coefficient of the design data of the precast composite wall, the less carbon dioxide emissions released by the design data of the precast composite wall under the condition of achieving the same mechanical properties and cost, which means the less resource waste degree of the design data of the precast composite wall and the less negative impact on the environment, and the better the collaborative effect of the design data of the precast composite wall;

[0147] Under the concept of sustainable development, reducing the negative impact on the environment is crucial. This is conducive to protecting the ecological environment, maintaining the ecological balance, reducing the health risks and ecological restoration costs brought by the negative impact of the environment, and achieving the positive interaction between economic development and environmental protection.

[0148] Among them, the larger the collaborative efficiency coefficient of the design data of the precast composite wall, the more carbon dioxide emissions released by the design data of the precast composite wall under the condition of achieving the same mechanical properties and cost, which means the greater resource waste degree of the design data of the precast composite wall and the greater negative impact on the environment, and the worse the collaborative effect of the design data of the precast composite wall.

[0149] The beneficial effects of the embodiments of the present application are in two aspects. On the one hand, when the flexural bearing capacity of the precast composite wall is greater than the flexural bearing capacity requirement value, according to the flexural bearing capacity of the precast composite wall, the total cost of the precast composite wall, the total carbon emissions of the precast composite wall, and a preset collaborative efficiency model, a collaborative efficiency coefficient of the design data of the precast composite wall is generated, solving the technical problem of how to determine the collaborative efficiency coefficient of the design data of the precast composite wall. In addition, since no manual intervention is required, the acquisition time of the collaborative efficiency coefficient of the design data of the precast composite wall is reduced, which is beneficial to improving the acquisition efficiency of the collaborative efficiency coefficient of the design data of the precast composite wall. On the other hand, through the collaborative efficiency coefficient of the design data of the precast composite wall, the collaborative effect of the design data of the precast composite wall can be quantified. Among them, the smaller the collaborative efficiency coefficient of the design data of the precast composite wall, the less carbon dioxide emissions are released by the design data of the precast composite wall under the condition of achieving the same mechanical properties and cost, indicating that the degree of resource waste of the design data of the precast composite wall is smaller, the negative impact on the environment is smaller, and the collaborative effect of the design data of the precast composite wall is better. Among them, the larger the collaborative efficiency coefficient of the design data of the precast composite wall, the more carbon dioxide emissions are released by the design data of the precast composite wall under the condition of achieving the same mechanical properties and cost, indicating that the degree of resource waste of the design data of the precast composite wall is larger, the negative impact on the environment is larger, and the collaborative effect of the design data of the precast composite wall is worse.

[0150] Please refer to Figure 3 , Figure 3 which is a flowchart showing the processing results of the display list provided by the embodiments of the present application, and is described in detail as follows:

[0151] S301, obtain the collaborative efficiency coefficients of multiple pieces of design data of precast composite walls;

[0152] S302, sort the collaborative efficiency coefficients of multiple pieces of design data of precast composite walls, and select the design data of the precast composite wall with the smallest collaborative efficiency coefficient as the optimal design data of the precast composite wall. Among them, multiple pieces of design data of precast composite walls are composed of different design data of precast composite walls.

[0153] Among them, the optimal design data of the precast composite wall is the optimal design data of the precast composite wall.

[0154] For the convenience of explanation, the following is an example:

[0155] For example, there are multiple precast composite walls, namely precast composite wall 1, precast composite wall 2, precast composite wall 3, precast composite wall 4, and precast composite wall 5;

[0156] The design data of precast composite wall 1 is precast composite wall design data 1;

[0157] The design data of precast composite wall 2 is precast composite wall design data 2;

[0158] The design data of the precast composite wall 3 is the precast composite wall design data 3;

[0159] The design data of the precast composite wall 4 is the precast composite wall design data 4;

[0160] The design data of the precast composite wall 5 is the precast composite wall design data 5;

[0161] The flexural bearing capacity of the precast composite wall 1, the precast composite wall 3, and the precast composite wall 5 is greater than the flexural bearing demand value, and multiple precast composite wall design data are composed of the precast composite wall design data 1, the precast composite wall design data 3, and the precast composite wall design data 5;

[0162] Sort the synergy efficiency coefficients of the precast composite wall design data 1, the precast composite wall design data 3, and the precast composite wall design data 5;

[0163] When the synergy efficiency coefficient of the precast composite wall design data 1 is the smallest, select the precast composite wall design data 1 as the optimal precast composite wall design data.

[0164] When the synergy efficiency coefficient of the precast composite wall design data 3 is the smallest, select the precast composite wall design data 3 as the optimal precast composite wall design data.

[0165] When the synergy efficiency coefficient of the precast composite wall design data 5 is the smallest, select the precast composite wall design data 5 as the optimal precast composite wall design data.

[0166] In the embodiment of the present application, selecting the precast composite wall design data with the smallest synergy efficiency coefficient as the optimal precast composite wall design data means that under the condition of achieving the same mechanical properties and cost, the carbon dioxide emissions released by the precast composite wall design data are the least, indicating that the resource waste degree of the optimal precast composite wall design data is the smallest, the negative impact on the environment is the smallest, the synergy effect of the optimal precast composite wall design data is the best, and writing the optimal precast composite wall design data into the design scheme can ensure the technical rationality and reliability of the design scheme and reduce the risk of later rework. Corresponding to the design method of the precast composite wall described in the above embodiment, please refer to Figure 4 , Figure 4 is a schematic block diagram of the design device of the precast composite wall provided by the embodiment of the present application, Figure 4 The shown design device 400 of the precast composite wall can be applied to an electronic device in the application scenario diagram shown in Figure 1 shown below. Taking the electronic device as an example, for Figure 4The design device 400 of the precast composite wall shown will be elaborated in detail. The design device 400 of the precast composite wall may include an acquisition module 401, a first generation module 402, a second generation module 403, a third generation module 404, and a design module 405.

[0167] The acquisition module 401 is configured to acquire precast composite wall design data, and obtain the mechanical data, construction data, and cost data of the precast composite wall from the precast composite wall design data;

[0168] The first generation module 402 is configured to generate the flexural bearing capacity of the precast composite wall according to the mechanical data and a preset mechanical evaluation model;

[0169] The second generation module 403 is configured to generate the total carbon emissions of the precast composite wall according to the construction data and a preset carbon emission evaluation model;

[0170] The third generation module 404 is configured to generate the total cost of the precast composite wall according to the cost data and a preset cost evaluation model;

[0171] The design module 405 is configured to, when the flexural bearing capacity of the precast composite wall is greater than the flexural bearing demand value, generate a collaborative efficiency coefficient of the precast composite wall design data according to the flexural bearing capacity of the precast composite wall, the total cost of the precast composite wall, the total carbon emissions of the precast composite wall, and a preset collaborative efficiency model.

[0172] It should be noted that the various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. The same or similar parts among the various embodiments can be referred to each other.

[0173] The beneficial effects of the embodiments of this application are in two aspects. On the one hand, when the flexural bearing capacity of the precast composite wall is greater than the flexural bearing capacity requirement value, according to the flexural bearing capacity of the precast composite wall, the total cost of the precast composite wall, the total carbon emissions of the precast composite wall, and a preset collaborative efficiency model, a collaborative efficiency coefficient of the design data of the precast composite wall is generated, solving the technical problem of how to determine the collaborative efficiency coefficient of the design data of the precast composite wall. In addition, since no manual intervention is required, the acquisition time of the collaborative efficiency coefficient of the design data of the precast composite wall is reduced, which is beneficial to improving the acquisition efficiency of the collaborative efficiency coefficient of the design data of the precast composite wall. On the other hand, through the collaborative efficiency coefficient of the design data of the precast composite wall, the collaborative effect of the design data of the precast composite wall can be quantified. Among them, the smaller the collaborative efficiency coefficient of the design data of the precast composite wall, the less carbon dioxide emissions released by the design data of the precast composite wall under the condition of achieving the same mechanical properties and cost, indicating that the degree of resource waste of the design data of the precast composite wall is smaller and the negative impact on the environment is smaller, and the collaborative effect of the design data of the precast composite wall is better. Among them, the larger the collaborative efficiency coefficient of the design data of the precast composite wall, the more carbon dioxide emissions released by the design data of the precast composite wall under the condition of achieving the same mechanical properties and cost, indicating that the degree of resource waste of the design data of the precast composite wall is larger and the negative impact on the environment is larger, and the collaborative effect of the design data of the precast composite wall is worse.

[0174] Please refer to Figure 5 , Figure 5 which is a schematic structural diagram of the electronic device provided by the embodiments of this application.

[0175] As Figure 5 shown, Figure 5 the electronic device 2 includes: at least one processor 20, a memory 21, and a computer program 22 stored in the memory 21 and executable on the at least one processor 20. When the processor 20 executes the computer program 22, the steps in any of the above method embodiments are implemented.

[0176] The electronic device 2 may include, but is not limited to, the processor 20 and the memory 21. Those skilled in the art can understand that Figure 5 this is only an example of the electronic device 2 and does not constitute a limitation on the electronic device 2. It may include more or fewer components than shown in the figure, or combine some components, or different components. For example, it may also include input / output devices, network access devices, etc.

[0177] Among them, the processor 20 is used to run the computer program 22 stored in the memory 21 and implement the following steps when executing the computer program 22:

[0178] Obtain the design data of the precast composite wall, and obtain the mechanical data, construction data, and cost data of the precast composite wall from the design data of the precast composite wall;

[0179] Generate the flexural bearing capacity of the precast composite wall according to the mechanical data and the preset mechanical evaluation model;

[0180] Generate the total carbon emissions of the precast composite wall according to the construction data and the preset carbon emission evaluation model;

[0181] Generate the total cost of the precast composite wall according to the cost data and the preset cost evaluation model;

[0182] When the flexural bearing capacity of the precast composite wall is greater than the flexural bearing demand value, generate the synergy efficiency coefficient of the precast composite wall design data according to the flexural bearing capacity of the precast composite wall, the total cost of the precast composite wall, the total carbon emissions of the precast composite wall, and the preset synergy efficiency model.

[0183] In some embodiments, the processor 20 is used to implement:

[0184] Access the database and obtain the design data of the precast composite wall from the database;

[0185] Obtain the mechanical data, construction data, and cost data of the precast composite wall from the design data of the precast composite wall.

[0186] In some embodiments, the processor 20 is used to implement:

[0187] In the mechanical data, obtain the width of the precast composite wall, the total thickness of the precast composite wall, the distance from the tensile reinforcement to the outer edge of the tensile zone, the distance from the compressive reinforcement to the outer edge of the compressive zone, the relative height of the cross-section compressive zone, the average height of the compressive zone, the tensile strength of the reinforcement, the compressive strength of the reinforcement, the tensile area of the reinforcement, the compressive area of the reinforcement, the compressive thickness of the cast-in-place concrete, the compressive thickness of the precast concrete, the compressive thickness of the cast-in-place concrete, the design value of the compressive strength of the cast-in-place concrete, the design value of the compressive strength of the precast concrete, the average design value of the compressive strength of the concrete, the reinforcement ratio, and half of the total thickness of the precast composite wall;

[0188] Generate the flexural bearing capacity of the precast composite wall according to the width of the precast composite wall, the total thickness of the precast composite wall, the distance from the steel bars in the tension zone to the outer edge of the tension zone, the distance from the steel bars in the compression zone to the outer edge of the compression zone, the relative height of the compression zone of the section, the average height of the compression zone, the tensile strength of the steel bars, the compressive strength of the steel bars, the tensile area of the steel bars, the compressive area of the steel bars, the compressive thickness of the cast-in-place concrete, the compressive thickness of the precast concrete, the compressive thickness of the cast-in-place concrete, the design value of the compressive strength of the cast-in-place concrete, the design value of the compressive strength of the precast concrete, the average design value of the compressive strength of the concrete, the reinforcement ratio, half of the total thickness of the precast composite wall, and a preset mechanical evaluation model.

[0189] In some embodiments, the processor 20 is used to implement:

[0190] In the construction data, obtain the consumption of each material of the precast composite wall in the production stage, the carbon emission coefficient of each material of the precast composite wall in the production stage, the number of recycling times, the transportation distance of each material of the precast composite wall in the transportation stage, the transportation weight of each material of the precast composite wall in the transportation stage, the carbon emission coefficient of each material of the precast composite wall in the transportation stage, the usage duration of each machine of the precast composite wall in the construction stage, the energy consumption of each machine of the precast composite wall in the construction stage, and the carbon emission coefficient corresponding to each machine of the precast composite wall in the construction stage;

[0191] Generate the total carbon emissions of the precast composite wall according to the consumption of each material of the precast composite wall in the production stage, the carbon emission coefficient of each material of the precast composite wall in the production stage, the number of recycling times, the transportation distance of each material of the precast composite wall in the transportation stage, the transportation weight of each material of the precast composite wall in the transportation stage, the carbon emission coefficient of each material of the precast composite wall in the transportation stage, the usage duration of each machine of the precast composite wall in the construction stage, the energy consumption of each machine of the precast composite wall in the construction stage, the carbon emission coefficient corresponding to each machine of the precast composite wall in the construction stage, and a preset carbon emission evaluation model.

[0192] In some embodiments, the processor 20 is used to implement:

[0193] In the cost data, obtain the consumption of each material of the precast composite wall in the production stage, the unit price of each material of the precast composite wall in the production stage, the transportation distance of each material of the precast composite wall in the transportation stage, the transportation weight of each material of the precast composite wall in the transportation stage, the transportation unit price of each material of the precast composite wall in the transportation stage, the usage duration of each machine of the precast composite wall in the construction stage, the energy unit price corresponding to each machine of the precast composite wall in the construction stage, the working days of the workers of each type of work of the precast composite wall in the construction stage, and the daily wage of the workers of each type of work;

[0194] Generate the total cost of the precast composite wall according to the consumption of each material in the production stage of the precast composite wall, the unit price of each material in the production stage of the precast composite wall, the transportation distance of each material in the transportation stage of the precast composite wall, the transportation weight of each material in the transportation stage of the precast composite wall, the transportation unit price of each material in the transportation stage of the precast composite wall, the usage duration of each machine in the construction stage of the precast composite wall, the energy unit price corresponding to each machine in the construction stage of the precast composite wall, the working days of the workers of each type of work in the construction stage of the precast composite wall, the daily wage of the workers of each type of work, and a preset cost evaluation model.

[0195] In some embodiments, the processor 20 is configured to implement:

[0196] Obtain the collaborative efficiency coefficients of multiple precast composite wall design data;

[0197] Sort the collaborative efficiency coefficients of the multiple precast composite wall design data, and select the precast composite wall design data with the smallest collaborative efficiency coefficient as the optimal precast composite wall design data.

[0198] The so-called processor 20 may be a central processing unit (CPU), and this processor 20 may also be other general-purpose processors, digital signal processors, application-specific integrated circuits, off-the-shelf programmable gate arrays (Field Programmable Gate Array, FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or this processor may also be any conventional processor, etc.

[0199] In some embodiments, the memory 21 may be an internal storage unit of the electronic device 2, such as the hard disk or memory of the electronic device 2. In some other embodiments, the memory 21 may also be an external storage device of the electronic device 2, such as a plug-in hard disk equipped on the electronic device 2, a smart media card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. Further, the memory 21 may also include both the internal storage unit of the electronic device 2 and the external storage device. The memory 21 is used to store an operating system, application programs, a boot loader, data, and other programs, such as the program code of the computer program, etc. The memory 21 may also be used to temporarily store data that has been output or will be output.

[0200] It should be noted that, regarding the information interaction, execution process, etc. between the above-mentioned devices / units, since they are based on the same concept as the method embodiments of the present application, for their specific functions and the technical effects brought about, reference can be specifically made to the method embodiment section, and details will not be elaborated here.

[0201] An embodiment of the present application provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the steps in the above-mentioned various method embodiments can be implemented.

[0202] Program code is stored in the computer-readable storage medium, and the program code can be called by the processor to execute the design method of the precast composite wall described in the above method embodiment.

[0203] The computer-readable storage medium has a storage space for program code.

[0204] The program code includes the code of any step in the design method of the precast composite wall described in the above method embodiment.

[0205] Since the computer program stored in this computer-readable storage medium can execute any design method of the precast composite wall provided by the embodiments of the present application, this computer-readable storage medium can achieve the beneficial effects that any design method of the precast composite wall provided by the embodiments of the present application can achieve. For details, refer to the previous embodiments and will not be elaborated here.

[0206] An embodiment of the present application provides a computer program product. When the computer program product runs on an electronic device, it causes the electronic device to execute the above-mentioned design method of the precast composite wall.

[0207] In the above embodiments, the descriptions of each embodiment have their own focuses. For the parts not elaborated or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0208] The above are only the preferred embodiments of the present application, and do not limit the patent scope of the present application accordingly. Any equivalent structural or equivalent process transformation made by using the content of the specification and drawings of the present application, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present application.

Claims

1. A design method for a precast composite wall, characterized in that, Applied to an electronic device, the design method of the precast composite wall includes: Obtain the design data of the precast composite wall, and obtain the mechanical data, construction data, and cost data of the precast composite wall from the design data of the precast composite wall; Generate the flexural bearing capacity of the precast composite wall according to the mechanical data and a preset mechanical evaluation model; Generate the total carbon emissions of the precast composite wall according to the construction data and a preset carbon emission evaluation model; Generate the total cost of the precast composite wall according to the cost data and a preset cost evaluation model; When the flexural bearing capacity of the precast composite wall is greater than the flexural bearing demand value, generate the synergy efficiency coefficient of the design data of the precast composite wall according to the flexural bearing capacity of the precast composite wall, the total cost of the precast composite wall, the total carbon emissions of the precast composite wall, and a preset synergy efficiency model; Among them, the mechanical evaluation model is: Among them, M is the flexural bearing capacity of the precast composite wall, and the unit is kilonewton-meter; B1 is the width of the precast composite wall, and the unit is meter; L is the total thickness of the precast composite wall, and the unit is meter; a is the distance from the tensile reinforcement in the tensile zone to the outer edge of the tensile zone, and the unit is meter; a' is the distance from the compressive reinforcement in the compressive zone to the outer edge of the compressive zone, and the unit is meter; x is the relative depth of the compression zone of the section, and the unit is meter; is the average depth of the compression zone, with the unit of meter; f sd is the tensile strength of steel bars, with the unit of megapascal; f' sd is the compressive strength of steel bars, with the unit of megapascal; A s is the tensile area of the steel bar, with the unit of square, A' s is the compressive area of the steel bar, with the unit of square; L1 is the compressive thickness of the cast-in-place concrete, and the unit is meter; L2 is the compressive thickness of the precast concrete, and the unit is meter; f cd1 is the design value of the compressive strength of cast-in-situ concrete, with the unit of megapascal; f cd2 is the design value of the compressive strength of precast concrete, with the unit of megapascal; is the design value of the average compressive strength of concrete; R is the reinforcement ratio; N is half of the total thickness of the precast composite wall; The carbon emission evaluation model is: Among them, G all is the total carbon emissions of the precast composite wall; i is the serial number of the material, and n is the total number of materials; Mater i is the consumption of the i-th material in the production stage of the precast composite wall; f mater,i is the carbon emission coefficient of the i-th material in the precast composite wall during the production stage; T is the number of recycling times; Tran i is the transportation distance of the i-th material of the precast composite wall during the transportation stage; G i is the transportation weight of the i-th material in the precast composite wall during the transportation stage; f tran,i is the carbon emission coefficient of the i-th material in the precast composite wall during the transportation stage; Mach j is the usage duration of the j-th type of machinery during the construction stage of the precast composite wall; E j is the energy consumption of the j-th kind of machinery during the construction stage of the precast composite wall; f E,j is the carbon emission coefficient corresponding to the j-th machine during the construction stage of the precast composite wall, where j is the serial number of the machine and k is the total number of machines; The synergy efficiency model is: Among them, CMS is the collaborative efficiency coefficient of the design data of precast composite walls, M is the flexural bearing capacity of precast composite walls, G all is the total carbon emissions of precast composite walls, S all is the total cost of precast composite walls.

2. The design method of the precast composite wall according to claim 1, characterized in that, The obtaining of the design data of the precast composite wall and obtaining the mechanical data, construction data, and cost data of the precast composite wall from the design data of the precast composite wall includes: Access the database and obtain the design data of the precast composite wall from the database; Obtain the mechanical data, construction data, and cost data of the precast composite wall from the design data of the precast composite wall.

3. The design method of the precast composite wall according to claim 1, characterized in that The generating of the total cost of the precast composite wall according to the cost data and a preset cost evaluation model includes: In the cost data, obtain the consumption of each material in the production stage of the precast composite wall, the unit price of each material in the production stage of the precast composite wall, the transportation distance of each material in the transportation stage of the precast composite wall, the transportation weight of each material in the transportation stage of the precast composite wall, the transportation unit price of each material in the transportation stage of the precast composite wall, the usage duration of each machine in the construction stage of the precast composite wall, the energy unit price corresponding to each machine in the construction stage of the precast composite wall, the working days of the workers of each type of work in the construction stage of the precast composite wall, and the daily wage of the workers of each type of work; Generate the total cost of the precast composite wall according to the consumption of each material in the production stage of the precast composite wall, the unit price of each material in the production stage of the precast composite wall, the transportation distance of each material in the transportation stage of the precast composite wall, the transportation weight of each material in the transportation stage of the precast composite wall, the transportation unit price of each material in the transportation stage of the precast composite wall, the usage duration of each machine in the construction stage of the precast composite wall, the energy unit price corresponding to each machine in the construction stage of the precast composite wall, the working days of workers of each type of work in the construction stage of the precast composite wall, the daily wage of workers of each type of work, and a preset cost evaluation model.

4. The design method of the precast composite wall according to any one of claims 1 to 3, characterized in that When the flexural bearing capacity of the precast composite wall is greater than the flexural bearing demand value, after generating the synergy efficiency coefficient of the precast composite wall design data according to the flexural bearing capacity of the precast composite wall, the total cost of the precast composite wall, the total carbon emission of the precast composite wall, and a preset synergy efficiency model, the design method of the precast composite wall includes: Obtain the synergy efficiency coefficients of multiple precast composite wall design data; Sort the synergy efficiency coefficients of multiple precast composite wall design data, and select the precast composite wall design data with the smallest synergy efficiency coefficient as the optimal precast composite wall design data.

5. A design device for a precast composite wall based on the design method of the precast composite wall according to any one of claims 1 to 4, characterized in that, Applied to an electronic device, including: An acquisition module, configured to acquire precast composite wall design data, and obtain the mechanical data, construction data, and cost data of the precast composite wall from the precast composite wall design data; A first generation module, configured to generate the flexural bearing capacity of the precast composite wall according to the mechanical data and a preset mechanical evaluation model; A second generation module, configured to generate the total carbon emission of the precast composite wall according to the construction data and a preset carbon emission evaluation model; A third generation module, configured to generate the total cost of the precast composite wall according to the cost data and a preset cost evaluation model; A design module, configured to generate the synergy efficiency coefficient of the precast composite wall design data according to the flexural bearing capacity of the precast composite wall, the total cost of the precast composite wall, the total carbon emission of the precast composite wall, and a preset synergy efficiency model when the flexural bearing capacity of the precast composite wall is greater than the flexural bearing demand value.

6. An electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the design method of the precast composite wall according to any one of claims 1 to 4.

7. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the design method of the precast composite wall according to any one of claims 1 to 4.

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