CN117350523B - Steel structure carbon emission determining method and device, electronic equipment and storage medium - Google Patents
Steel structure carbon emission determining method and device, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN117350523B CN117350523B CN202311650036.XA CN202311650036A CN117350523B CN 117350523 B CN117350523 B CN 117350523B CN 202311650036 A CN202311650036 A CN 202311650036A CN 117350523 B CN117350523 B CN 117350523B
- Authority
- CN
- China
- Prior art keywords
- carbon emission
- steel structure
- prefabrication
- determining
- functional unit
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 244
- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 244
- 238000000034 method Methods 0.000 title claims abstract description 215
- 229910000831 Steel Inorganic materials 0.000 title claims abstract description 177
- 239000010959 steel Substances 0.000 title claims abstract description 177
- 238000003860 storage Methods 0.000 title claims abstract description 29
- 238000009417 prefabrication Methods 0.000 claims abstract description 142
- 230000008569 process Effects 0.000 claims abstract description 106
- 238000004519 manufacturing process Methods 0.000 claims abstract description 49
- 230000006870 function Effects 0.000 claims description 44
- 238000010586 diagram Methods 0.000 claims description 39
- 238000010422 painting Methods 0.000 claims description 20
- 238000003466 welding Methods 0.000 claims description 18
- 238000005520 cutting process Methods 0.000 claims description 16
- 238000005553 drilling Methods 0.000 claims description 15
- 238000005422 blasting Methods 0.000 claims description 14
- 238000004590 computer program Methods 0.000 claims description 13
- 238000012937 correction Methods 0.000 claims description 10
- 239000000463 material Substances 0.000 claims description 10
- 239000002994 raw material Substances 0.000 abstract description 14
- 238000012544 monitoring process Methods 0.000 abstract description 2
- 238000012545 processing Methods 0.000 description 21
- 238000004891 communication Methods 0.000 description 10
- 238000004364 calculation method Methods 0.000 description 6
- 238000010276 construction Methods 0.000 description 5
- 238000013461 design Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 5
- 230000003287 optical effect Effects 0.000 description 5
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 4
- 230000005611 electricity Effects 0.000 description 4
- 230000005236 sound signal Effects 0.000 description 4
- 238000003491 array Methods 0.000 description 3
- 239000004566 building material Substances 0.000 description 3
- 239000002131 composite material Substances 0.000 description 3
- 230000001133 acceleration Effects 0.000 description 2
- 229910002092 carbon dioxide Inorganic materials 0.000 description 2
- 239000001569 carbon dioxide Substances 0.000 description 2
- 239000004568 cement Substances 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 239000000835 fiber Substances 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 230000001902 propagating effect Effects 0.000 description 2
- 239000004576 sand Substances 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 239000004575 stone Substances 0.000 description 2
- 241000254032 Acrididae Species 0.000 description 1
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 238000005266 casting Methods 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000002485 combustion reaction Methods 0.000 description 1
- 239000004567 concrete Substances 0.000 description 1
- 239000010949 copper Substances 0.000 description 1
- 229910052802 copper Inorganic materials 0.000 description 1
- 230000004907 flux Effects 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000003973 paint Substances 0.000 description 1
- 238000007591 painting process Methods 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 238000011002 quantification Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000005507 spraying Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06316—Sequencing of tasks or work
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Development Economics (AREA)
- Geometry (AREA)
- Educational Administration (AREA)
- Computer Hardware Design (AREA)
- Primary Health Care (AREA)
- Architecture (AREA)
- Civil Engineering (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Structural Engineering (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present disclosure relates to the field of carbon emission monitoring, and in particular, to a method and apparatus for determining carbon emission of a steel structure, an electronic device, and a storage medium, for determining at least one prefabrication process in a prefabrication process of the steel structure, and a functional unit for calculating a unit of carbon emission corresponding to the prefabrication process. Generating a functional unit list comprising the number of functional units corresponding to each prefabrication procedure according to the target steel structure, determining prefabrication carbon emission generated in the prefabrication process of the steel structure according to the functional unit list, the functional units corresponding to each prefabrication procedure and a carbon emission factor library, storing carbon emission factors used for representing carbon emission generated by each corresponding functional unit in the carbon emission factor library, and determining target carbon emission for producing the target steel structure according to the prefabrication carbon emission and the production carbon emission of the target steel structure. The method and the device have the advantages that carbon emission generated in the steel structure production process is predicted, carbon emission in the raw material production process and carbon emission in the steel structure prefabrication process are considered, and the precision of the prediction result is improved.
Description
Technical Field
The disclosure relates to the field of carbon emission monitoring, and in particular relates to a method and a device for determining carbon emission of a steel structure, electronic equipment and a storage medium.
Background
The building industry is an important component of carbon emission in China, and the processes of exploitation of building materials, production of building materials products, transportation and construction caused by the building industry account for more than 20% of the total carbon emission in the whole society from a macroscopic level. The steel structure is an important component of the novel building industrialization and assembly type building in China, is used as a large amount of industrial raw materials, the carbon emission of steel production is paid more attention to at home and abroad, and a carbon emission calculation method for the steel industry and steel materials is developed based on the carbon emission calculation principle of the general industry or products. However, the existing carbon emission calculation method for the steel structure stays in macroscopic industries, organizations and enterprises, the calculated carbon emission result is not accurate enough, and the deviation from the actual carbon emission is larger.
Disclosure of Invention
In view of this, the present disclosure proposes a method, an apparatus, an electronic device, and a storage medium for determining carbon emissions of a steel structure, which aim to improve the accuracy of carbon emission result prediction of the steel structure.
According to a first aspect of the present disclosure, there is provided a steel structure carbon emission determination method, the method comprising:
Determining at least one prefabrication procedure in the prefabrication process of the steel structure, and a functional unit corresponding to each prefabrication procedure, wherein the functional unit is a unit for calculating carbon emission of the corresponding prefabrication procedure;
generating a function unit list comprising the number of function units corresponding to each prefabrication procedure according to the target steel structure;
determining prefabricated carbon emission generated in the steel structure prefabrication process according to the function unit list, the function units corresponding to each prefabrication process and a carbon emission factor library, wherein the carbon emission factor library stores carbon emission factors corresponding to each function unit and is used for representing carbon emission generated by each corresponding function unit;
and determining the target carbon emission for producing the target steel structure according to the production carbon emission corresponding to the target steel structure.
In one possible implementation, the prefabrication process includes master blanking, master assembling, accessory blanking, accessory drilling, accessory assembling, component correction, component blasting, and component painting.
In one possible implementation manner, the functional unit corresponding to the main part blanking is a cutting surface area of a steel raw material, the functional unit corresponding to the main part assembling is an assembling length, the functional unit corresponding to the main part assembling is a welding wire consumption amount, the functional unit corresponding to the accessory blanking is a cutting surface area of the steel raw material, the functional unit corresponding to the accessory assembling is a drilling volume, the functional unit corresponding to the accessory assembling is a welding wire consumption amount, the functional unit corresponding to the combined component correcting is a correcting length, the functional unit corresponding to the combined component blasting is a component surface area, and the functional unit corresponding to the combined component painting is a painting weight.
In one possible implementation manner, the generating, according to the target steel structure, a function unit list including the number of function units corresponding to each prefabrication procedure includes:
generating a target steel structure based on the building model generation application;
determining a detailed structural diagram of a main part, a fitting part and a combined component included in the target steel structure based on steel structure detailed diagram design software, and a related report, wherein the related report comprises a number and a prefabrication procedure corresponding to each main part, fitting part and combined component;
and extracting the numbers corresponding to the main part, the accessory and the combined component and the engineering quantity corresponding to the prefabrication procedure according to the detailed structure diagram and the related report, and obtaining a functional unit list comprising the number of functional units corresponding to each prefabrication procedure.
In one possible implementation manner, the determining, according to the function unit list, the function unit corresponding to each prefabrication procedure, and a carbon emission factor library, the prefabricated carbon emission generated in the prefabrication process of the steel structure includes:
determining the carbon emission factor of each functional unit corresponding to the prefabrication procedure in the carbon emission factor library;
determining the number of the functional units corresponding to each prefabricated procedure according to the functional unit list;
Calculating the product of the number of the functional units corresponding to each prefabrication process and the carbon emission factor to obtain carbon emission corresponding to the prefabrication process;
and determining the prefabricated carbon emission generated in the prefabrication process of the steel structure according to the sum of the corresponding carbon emissions of each prefabrication process.
In one possible implementation, the method further includes:
determining the weight of the target steel structure;
and calculating according to the weight of the target steel structure and a preset production carbon emission factor to obtain the production carbon emission corresponding to the target steel structure.
In one possible implementation, the carbon emission factor includes at least one of a direct factor, an indirect factor, and an implicit factor.
According to a second aspect of the present disclosure, there is provided a steel structure carbon emission determination device, the device comprising:
the working procedure determining module is used for determining at least one prefabricating working procedure in the prefabricating process of the steel structure and a functional unit corresponding to each prefabricating working procedure, wherein the functional unit is a unit for calculating carbon emission of the corresponding prefabricating working procedure;
the list determining module is used for generating a functional unit list comprising the number of functional units corresponding to each prefabricated procedure according to the target steel structure;
The prefabricated carbon emission determining module is used for determining prefabricated carbon emission generated in the steel structure prefabrication process according to the function unit list, the function units corresponding to each prefabrication procedure and a carbon emission factor library, wherein the carbon emission factor library stores carbon emission factors corresponding to each function unit, and the carbon emission factors are used for representing carbon emission generated by each corresponding function unit;
and the target carbon emission determining module is used for determining target carbon emission for producing the target steel structure according to the prefabricated carbon emission and the production carbon emission corresponding to the target steel structure.
In one possible implementation, the prefabrication process includes master blanking, master assembling, accessory blanking, accessory drilling, accessory assembling, component correction, component blasting, and component painting.
In one possible implementation manner, the functional unit corresponding to the main part blanking is a cutting surface area of a steel raw material, the functional unit corresponding to the main part assembling is an assembling length, the functional unit corresponding to the main part assembling is a welding wire consumption amount, the functional unit corresponding to the accessory blanking is a cutting surface area of the steel raw material, the functional unit corresponding to the accessory assembling is a drilling volume, the functional unit corresponding to the accessory assembling is a welding wire consumption amount, the functional unit corresponding to the combined component correcting is a correcting length, the functional unit corresponding to the combined component blasting is a component surface area, and the functional unit corresponding to the combined component painting is a painting weight.
In one possible implementation, the manifest determining module is further configured to:
generating a target steel structure based on the building model generation application;
determining a detailed structural diagram of a main part, a fitting part and a combined component included in the target steel structure based on steel structure detailed diagram design software, and a related report, wherein the related report comprises a number and a prefabrication procedure corresponding to each main part, fitting part and combined component;
and extracting the numbers corresponding to the main part, the accessory and the combined component and the engineering quantity corresponding to the prefabrication procedure according to the detailed structure diagram and the related report, and obtaining a functional unit list comprising the number of functional units corresponding to each prefabrication procedure.
In one possible implementation, the prefabricated carbon emission determination module is further configured to:
determining the carbon emission factor of each functional unit corresponding to the prefabrication procedure in the carbon emission factor library;
determining the number of the functional units corresponding to each prefabricated procedure according to the functional unit list;
calculating the product of the number of the functional units corresponding to each prefabrication process and the carbon emission factor to obtain carbon emission corresponding to the prefabrication process;
and determining the prefabricated carbon emission generated in the prefabrication process of the steel structure according to the sum of the corresponding carbon emissions of each prefabrication process.
In one possible implementation, the apparatus further includes:
a weight determination module for determining a weight of the target steel structure;
and the production carbon emission determining module is used for calculating according to the weight of the target steel structure and a preset production carbon emission factor to obtain the production carbon emission corresponding to the target steel structure.
In one possible implementation, the carbon emission factor includes at least one of a direct factor, an indirect factor, and an implicit factor.
According to a third aspect of the present disclosure, there is provided an electronic device comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to implement the above-described method when executing the instructions stored by the memory.
According to a fourth aspect of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon computer program instructions, wherein the computer program instructions, when executed by a processor, implement the above-described method.
According to a fifth aspect of the present disclosure, there is provided a computer program product comprising computer readable code, or a non-transitory computer readable storage medium carrying computer readable code, which when run in a processor of an electronic device, performs the above method.
In an embodiment of the present disclosure, at least one prefabrication process in a prefabrication process of a steel structure and a functional unit for calculating a unit of carbon emission corresponding to the prefabrication process are determined. Generating a functional unit list comprising the number of functional units corresponding to each prefabrication procedure according to the target steel structure, determining prefabrication carbon emission generated in the prefabrication process of the steel structure according to the functional unit list, the functional units corresponding to each prefabrication procedure and a carbon emission factor library, storing carbon emission factors used for representing carbon emission generated by each corresponding functional unit in the carbon emission factor library, and determining target carbon emission for producing the target steel structure according to the carbon emission produced by the prefabrication and the carbon emission produced by the target steel structure. The method and the device have the advantages that carbon emission generated in the steel structure production process is predicted, carbon emission in the raw material production process and carbon emission in the steel structure prefabrication process are considered, and the precision of the prediction result is improved.
Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features and aspects of the present disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 shows a flowchart of a steel structure carbon emission determination method according to an embodiment of the present disclosure.
Fig. 2 shows a schematic diagram of a building life-whole process according to an embodiment of the present disclosure.
Fig. 3 shows a schematic diagram of a steel structure carbon emission determination process according to an embodiment of the present disclosure.
Fig. 4 shows a schematic view of a steel structure carbon emission determination device according to an embodiment of the present disclosure.
Fig. 5 shows a schematic diagram of an electronic device according to an embodiment of the disclosure.
Fig. 6 shows a schematic diagram of another electronic device according to an embodiment of the disclosure.
Detailed Description
Various exemplary embodiments, features and aspects of the disclosure will be described in detail below with reference to the drawings. In the drawings, like reference numbers indicate identical or functionally similar elements. Although various aspects of the embodiments are illustrated in the accompanying drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
In addition, numerous specific details are set forth in the following detailed description in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements, and circuits well known to those skilled in the art have not been described in detail in order not to obscure the present disclosure.
The steel structure carbon emission determination method of the embodiment of the present disclosure may be performed by an electronic device such as a terminal device or a server. The terminal device may be any fixed or mobile terminal such as a User Equipment (UE), a mobile device, a User terminal, a cellular phone, a cordless phone, a personal digital assistant (Personal Digital Assistant, PDA), a handheld device, a computing device, a vehicle mounted device, a wearable device, etc. The server may be a single server or a server cluster composed of a plurality of servers. Any electronic device may implement the method of determining the carbon emissions of the steel structure of the embodiments of the present disclosure by way of a processor invoking computer readable instructions stored in a memory.
Fig. 1 shows a flowchart of a steel structure carbon emission determination method according to an embodiment of the present disclosure. As shown in fig. 1, the steel structure carbon emission determination method of the embodiment of the present disclosure may include the following steps S10 to S40.
And step S10, determining at least one prefabrication procedure in the prefabrication process of the steel structure and a functional unit corresponding to each prefabrication procedure.
In one possible implementation, the assembly process of the steel structure building comprises four processes of raw material production, component prefabrication, component transportation and construction of the steel structure building. The steel member is used for assembling a steel structure building and can comprise a main part and a fitting which are directly processed and a combined member which is further processed based on the main part and the fitting. Depending on the different steel component types that are processed by the component prefabrication process, the component prefabrication process may include at least one prefabrication step, such as, for example, master blanking, master assembling, accessory blanking, accessory drilling, accessory assembling, component correction, component blasting, and component painting. Further, each prefabrication process is used for producing different steel members or performing other treatment on different steel members, corresponding carbon emission can be generated in the execution process of each prefabrication process, the electronic equipment can determine corresponding functional units based on specific content of each prefabrication process, and the functional units can be unit units for calculating the carbon emission of the corresponding prefabrication process.
Alternatively, each prefabrication step in the prefabrication process of the component may be performed using the same or different machines, for example, the prefabrication steps of blanking the main part, assembling the main part and assembling the main part are performed using a plasma cutter, an assembler and a submerged arc welding machine, respectively. The prefabricated working procedures of fitting blanking, fitting drilling and fitting assembling respectively adopt a plasma cutting machine, a plane drilling machine and CO 2 The gas shielded welding machine is executed. The working procedures of correcting the combined component, blasting the combined component and painting the combined component are respectively carried out by adopting a correcting machine, a shot blasting machine and manual spraying.
Further, the electronic device may determine the functional units corresponding to the different prefabrication processes in advance based on the specific contents of the different prefabrication processes. The main part blanking corresponding functional unit may be a cutting surface area of the steel material, the main part assembling corresponding functional unit may be an assembling length, the main part assembling corresponding functional unit may be a welding wire amount, the accessory blanking corresponding functional unit may be a cutting surface area of the steel material, the accessory assembling corresponding functional unit may be a drilling volume, the accessory assembling corresponding functional unit may be a welding wire amount, the assembling component correcting corresponding functional unit may be a correcting length, the assembling component blasting corresponding functional unit may be a component surface area, and the assembling component painting corresponding functional unit may be a painting weight. The units corresponding to the different functional units can be preset, for example, the unit of the cutting surface area and the surface area of the component can be square meters, the unit of the assembly length and the correction length can be m, the unit of the drilling volume can be m, and the unit of the welding wire consumption and the painting weight can be kg. Taking the cutting surface area of the steel raw material as an example, the functional unit corresponding to the main part blanking can be 1 square meter cutting surface area, that is, the carbon emission of the main part blanking process is measured by taking the carbon emission generated per square meter cutting surface area of the steel raw material as a measuring unit.
And step S20, generating a functional unit list comprising the number of the functional units corresponding to each prefabrication procedure according to the target steel structure.
In one possible implementation, the electronic device may determine each steel member included therein according to the target steel structure to be assembled, and further determine the number of functional units of each prefabricated process during processing of the steel member based on the steel member included therein, to obtain the functional unit list. The target steel structure can be determined in a mode of generating application modeling through a preset building model, and steel components in the target steel structure can be determined through preset steel structure detailed diagram design software. The electronic equipment can firstly generate the target steel structure based on the building model generation application, and then determine the detailed structure diagrams of the main parts, the accessories and the combined components included in the target steel structure and related reports, wherein the related reports comprise the numbers and the prefabrication procedures corresponding to each main part, each accessory and each combined component based on the detailed steel structure diagram design software. And extracting the numbers corresponding to the main part, the fittings and the combined components and the engineering quantity corresponding to the prefabrication procedures according to the detailed structure diagram and the related report forms to obtain a functional unit list comprising the number of the functional units corresponding to each prefabrication procedure.
Alternatively, the building model generation application may comprise at least one software tool, for example an Archicad platform comprising at least one of Grasshopper, rhino, 3d3s YJK and Tekla integrated software tools, building models for steel structural engineering building designs, structural designs and component production designs are built. The electronic device may generate an application modeling based on the building model to obtain a target steel structure. The steel structure detail design software can be Tekla software, at least one software tool is included, and the electronic equipment can generate structural detail diagrams of main parts, accessories and combined components in the target steel structure according to the Xsteel tool, and the structural detail diagrams comprise the number of each component and a related report corresponding to the prefabrication procedure. The information included in the related report forms can be preset, and the detailed structure diagram can include attribute information such as the size of the corresponding steel member, the size of the region to be processed in the corresponding prefabrication procedure, and the like.
Further, after determining the structural detail diagram corresponding to each steel member and the related report, the electronic device may count the engineering quantity of the corresponding prefabrication process based on the size of the steel member in the structural detail diagram and the size of the region to be processed and the prefabrication process in the related report, so as to obtain the number of functional units corresponding to the steel member. For example, in the case that the area of the cutting surface to be cut is 20 square meters and the assembly length of the main component assembly is 5m according to the detailed construction drawing of the main component 1, the number of functional units for blanking the main component is determined to be 20 and the number of functional units for assembling the main component is determined to be 5. Optionally, the number of functional units corresponding to the three prefabrication steps of main part assembly, accessory assembly and painting of the combined member can be indirectly determined according to the size of the steel member, for example, the surface area and the like of the steel member to be welded or painted in the prefabrication step are determined first, and then the number of functional units is determined based on the preset corresponding relation between the surface area and the like and the weight of the welding material and the painting material. Further, the electronic device may calculate a sum of the number of functional units of the plurality of steel members corresponding to each prefabrication process, and obtain the number of functional units corresponding to the prefabrication process to determine the functional unit list.
And step S30, determining prefabricated carbon emission generated in the prefabrication process of the steel structure according to the function unit list, the function units corresponding to each prefabrication process and a carbon emission factor library.
In one possible implementation, the electronic device predetermines a carbon emission factor library storing a plurality of carbon emission factors, wherein each carbon emission factor is used to characterize carbon emissions generated by a corresponding functional unit, e.g., if the functional unit is a cut surface area per square meter of steel feedstock, the corresponding carbon emission factor is a value of carbon emissions generated per square meter of cut surface area of steel feedstock. Based on different prefabrication processes, each carbon emission factor may include at least one of a direct factor, an indirect factor and an implicit factor, wherein the direct factor is carbon emission directly generated by fossil energy combustion or chemical reaction used for performing the prefabrication process in a prefabrication factory, the indirect factor is carbon emission corresponding to outsourced electricity, heat or cold used for performing the prefabrication process, and the implicit factor is carbon emission generated by other consumables used for performing the prefabrication process during manufacturing.
Optionally, the main part is fed with electricity, the main part is assembled with electricity, the welding wire, the carbon dioxide shielding gas, the main part is assembled with electricity, the welding wire and the welding flux. The fitting blanking process consumes power, the fitting drilling process consumes power, and the fitting assembly process consumes welding wire and carbon dioxide shielding gas. The composite member correction process consumes power, the composite member blasting process consumes power, and the composite member painting process consumes paint. Based on the consumption situation, the electronic device may determine that the carbon emission factor corresponding to the main part blanking may include an indirect factor, the carbon emission factor corresponding to the main part assembling may include a direct factor, an indirect factor and an implicit factor, and the carbon emission factor corresponding to the main part assembling may include a direct factor and an implicit factor. The carbon emission factors corresponding to the fitting blanking comprise indirect factors, the carbon emission factors corresponding to the fitting drilling comprise indirect factors, and the carbon emission factors corresponding to the fitting assembling comprise direct factors, indirect factors and implicit factors. The carbon emission factors corresponding to the correction of the combined component comprise indirect factors, the carbon emission factors corresponding to the shot blasting of the combined component comprise indirect factors, and the carbon emission factors corresponding to the painting of the combined component comprise implicit factors.
Further, after determining the function unit list, the function units corresponding to each prefabricated procedure and the carbon emission factor library, the electronic device may pass through the carbon emission factor corresponding to each prefabricated procedureAnd calculating the number of the functional units to obtain prefabricated carbon emission generated in the steel structure prefabrication process. Specifically, the electronic device may determine the carbon emission factor of each functional unit corresponding to each prefabricated process in the carbon emission factor library, and then determine the number of functional units corresponding to each prefabricated process according to the functional unit list. And then calculating the product of the number of the functional units corresponding to each prefabrication procedure and the carbon emission factor to obtain carbon emission corresponding to the prefabrication procedure, and finally determining the prefabrication carbon emission generated in the prefabrication process of the steel structure according to the sum of the carbon emission corresponding to each prefabrication procedure. I.e. the electronic device can pass the formulaCalculating to obtain prefabricated carbon emissionWherein n is the serial number of the prefabrication process,for the number of functional units of the i-th prefabrication procedure,and (3) the carbon emission factor corresponding to the functional unit of the ith prefabrication procedure. Here, theThere may be a superposition of various carbon emission factors corresponding to the functional units, such as a sum of direct and implicit factors.
And S40, determining target carbon emission for producing the target steel structure according to the prefabricated carbon emission and the production carbon emission corresponding to the target steel structure.
In one possible implementation manner, after determining the prefabricated carbon emission generated in the prefabrication process of the steel structure, the electronic device determines the target carbon emission corresponding to the target steel structure according to the prefabricated carbon emission and the production carbon emission generated when producing the raw material of the target steel structure, where the target carbon emission is the carbon emission generated in the whole process of producing the steel member for building the target steel structure. The generated carbon emission can be calculated according to the weight of the target steel structure and a preset production carbon emission factor, namely, the weight of the target steel structure can be determined, and then the corresponding production carbon emission of the target steel structure can be obtained according to the weight of the target steel structure and the preset production carbon emission factor.
Alternatively, the weight of the target steel structure may be calculated from the volume of the modeled target steel structure, or may be predetermined. The electronic device may obtain the production carbon emission by calculating the product of the weight of the target steel structure and the production carbon emission factor, or may also obtain the production carbon emission by calculating the product of the weight of the target steel structure, the preset loss coefficient, and the production carbon emission factor. After the production carbon emissions are calculated, the sum of the production carbon emissions and the prefabricated carbon emissions may be calculated to obtain the target carbon emissions.
Further, after the target carbon emissions are obtained, the electronic device may feed back the target carbon emissions. For calculating other related quantification results based on the target carbon emission, or feeding back information such as carbon emission values, important sources of carbon emission and the like of steel component production corresponding to different building designs of a design institute or a steel component production department, or optimizing the carbon emission before component production.
Fig. 2 shows a schematic diagram of a building life-whole process according to an embodiment of the present disclosure. As shown in fig. 2, for cast-in-place building systems such as cast-in-place concrete buildings, materials such as cement, sand, stone and the like are delivered to a building site for casting after leaving factories, and in this case, carbon emission factors of the materials such as cement, sand, stone and the like can be used for calculating carbon emission in building material production of the building. However, for steel construction, a prefabrication stage of steel members is added between the production of steel materials and the construction of the building. Therefore, it is necessary to consider the carbon emissions generated in the prefabrication stage in the process of calculating the carbon emissions to improve the accuracy of the calculation of the carbon emission results.
Fig. 3 shows a schematic diagram of a steel structure carbon emission determination process according to an embodiment of the present disclosure. As shown in fig. 3, the electronic device may generate the target steel structure based on the building model generating application, determine the structural details of the main part, the accessory and the combined member included in the target steel structure and the related report based on the steel structure detail design software, and extract the numbers corresponding to the main part, the accessory and the combined member and the engineering quantity corresponding to the prefabrication process according to the structural details and the related report, so as to obtain the functional unit list including the number of functional units corresponding to each prefabrication process. And simultaneously, acquiring the carbon emission factors of the functional units corresponding to each prefabrication procedure from a preset carbon emission factor library so as to calculate and obtain the prefabricated carbon emission generated in the prefabrication process of the steel structure based on the carbon emission factors and the number of the functional units corresponding to each prefabrication procedure. Further, the electronic equipment calculates the production carbon emission corresponding to the target steel structure according to the weight of the target steel structure and a preset production carbon emission factor, and determines the target carbon emission according to the production carbon emission and the prefabricated carbon emission.
Based on the technical characteristics, the carbon emission in the raw material production process and the steel structure prefabrication process is considered simultaneously when the carbon emission generated in the steel structure production process is predicted, and the accuracy of the prediction result is improved. Meanwhile, when the carbon emission of the steel structure prefabrication process is calculated, the carbon emission is calculated for each prefabrication process, the calculation process of the carbon emission can be further refined, and the calculation result is more accurate.
Fig. 4 shows a schematic view of a steel structure carbon emission determination device according to an embodiment of the present disclosure. As shown in fig. 4, the steel structure carbon emission determining device of the embodiment of the present disclosure may include:
a process determining module 40, configured to determine at least one prefabrication process in the prefabrication process of the steel structure, and a functional unit corresponding to each prefabrication process, where the functional unit is a unit for calculating carbon emission corresponding to the prefabrication process;
a list determining module 41, configured to generate a function unit list including the number of function units corresponding to each prefabricated procedure according to the target steel structure;
a prefabricated carbon emission determining module 42, configured to determine, according to the function unit list, the function units corresponding to each of the prefabricated processes, and a carbon emission factor library, prefabricated carbon emissions generated during the prefabrication process of the steel structure, where the carbon emission factor library stores carbon emission factors corresponding to each of the function units, and the carbon emission factors are used to characterize carbon emissions generated by each of the corresponding function units;
A target carbon emission determination module 43 for determining a target carbon emission for producing the target steel structure based on the produced carbon emission corresponding to the target steel structure.
In one possible implementation, the prefabrication process includes master blanking, master assembling, accessory blanking, accessory drilling, accessory assembling, component correction, component blasting, and component painting.
In one possible implementation manner, the functional unit corresponding to the main part blanking is a cutting surface area of a steel raw material, the functional unit corresponding to the main part assembling is an assembling length, the functional unit corresponding to the main part assembling is a welding wire consumption amount, the functional unit corresponding to the accessory blanking is a cutting surface area of the steel raw material, the functional unit corresponding to the accessory assembling is a drilling volume, the functional unit corresponding to the accessory assembling is a welding wire consumption amount, the functional unit corresponding to the combined component correcting is a correcting length, the functional unit corresponding to the combined component blasting is a component surface area, and the functional unit corresponding to the combined component painting is a painting weight.
In a possible implementation, the manifest determining module 41 is further configured to:
Generating a target steel structure based on the building model generation application;
determining a detailed structural diagram of a main part, a fitting part and a combined component included in the target steel structure based on steel structure detailed diagram design software, and a related report, wherein the related report comprises a number and a prefabrication procedure corresponding to each main part, fitting part and combined component;
and extracting the numbers corresponding to the main part, the accessory and the combined component and the engineering quantity corresponding to the prefabrication procedure according to the detailed structure diagram and the related report, and obtaining a functional unit list comprising the number of functional units corresponding to each prefabrication procedure.
In one possible implementation, the prefabricated carbon emission determination module 42 is further configured to:
determining the carbon emission factor of each functional unit corresponding to the prefabrication procedure in the carbon emission factor library;
determining the number of the functional units corresponding to each prefabricated procedure according to the functional unit list;
calculating the product of the number of the functional units corresponding to each prefabrication process and the carbon emission factor to obtain carbon emission corresponding to the prefabrication process;
and determining the prefabricated carbon emission generated in the prefabrication process of the steel structure according to the sum of the corresponding carbon emissions of each prefabrication process.
In one possible implementation, the apparatus further includes:
a weight determination module for determining a weight of the target steel structure;
and the production carbon emission determining module is used for calculating according to the weight of the target steel structure and a preset production carbon emission factor to obtain the production carbon emission corresponding to the target steel structure.
In one possible implementation, the carbon emission factor includes at least one of a direct factor, an indirect factor, and an implicit factor.
In some embodiments, functions or modules included in an apparatus provided by the embodiments of the present disclosure may be used to perform a method described in the foregoing method embodiments, and specific implementations thereof may refer to descriptions of the foregoing method embodiments, which are not repeated herein for brevity.
The disclosed embodiments also provide a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the above-described method. The computer readable storage medium may be a volatile or nonvolatile computer readable storage medium.
The embodiment of the disclosure also provides an electronic device, which comprises: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to implement the above-described method when executing the instructions stored by the memory.
Embodiments of the present disclosure also provide a computer program product comprising computer readable code, or a non-transitory computer readable storage medium carrying computer readable code, which when run in a processor of an electronic device, performs the above method.
Fig. 5 shows a schematic diagram of an electronic device 800 according to an embodiment of the disclosure. For example, electronic device 800 may be a mobile phone, computer, digital broadcast terminal, messaging device, game console, tablet device, medical device, exercise device, personal digital assistant, or the like.
Referring to fig. 5, an electronic device 800 may include one or more of the following components: a processing component 802, a memory 804, a power component 806, a multimedia component 808, an audio component 810, an input/output interface 812 (I/O interface), a sensor component 814, and a communication component 816.
The processing component 802 generally controls overall operation of the electronic device 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 802 may include one or more processors 820 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 802 can include one or more modules that facilitate interactions between the processing component 802 and other components. For example, the processing component 802 can include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.
The memory 804 is configured to store various types of data to support operations at the electronic device 800. Examples of such data include instructions for any application or method operating on the electronic device 800, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 804 may be implemented by any type or combination of volatile or nonvolatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.
The power supply component 806 provides power to the various components of the electronic device 800. The power components 806 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the electronic device 800.
The multimedia component 808 includes a screen between the electronic device 800 and the user that provides an output interface. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or slide action, but also the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front camera and/or a rear camera. When the electronic device 800 is in an operational mode, such as a shooting mode or a video mode, the front camera and/or the rear camera may receive external multimedia data. Each front camera and rear camera may be a fixed optical lens system or have focal length and optical zoom capabilities.
The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a Microphone (MIC) configured to receive external audio signals when the electronic device 800 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may be further stored in the memory 804 or transmitted via the communication component 816. In some embodiments, audio component 810 further includes a speaker for outputting audio signals.
Input/output interface 812 provides an interface between processing component 802 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: homepage button, volume button, start button, and lock button.
The sensor assembly 814 includes one or more sensors for providing status assessment of various aspects of the electronic device 800. For example, the sensor assembly 814 may detect an on/off state of the electronic device 800, a relative positioning of the components, such as a display and keypad of the electronic device 800, the sensor assembly 814 may also detect a change in position of the electronic device 800 or a component of the electronic device 800, the presence or absence of a user's contact with the electronic device 800, an orientation or acceleration/deceleration of the electronic device 800, and a change in temperature of the electronic device 800. The sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscopic sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 816 is configured to facilitate communication between the electronic device 800 and other devices, either wired or wireless. The electronic device 800 may access a wireless network based on a communication standard, such as WiFi,2G, or 3G, or a combination thereof. In one exemplary embodiment, the communication component 816 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, the communication component 816 further includes a Near Field Communication (NFC) module to facilitate short range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the electronic device 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic elements for executing the methods described above.
In an exemplary embodiment, a non-transitory computer readable storage medium is also provided, such as memory 804 including computer program instructions executable by processor 820 of electronic device 800 to perform the above-described methods.
Fig. 6 shows a schematic diagram of another electronic device 1900 according to an embodiment of the disclosure. For example, electronic device 1900 may be provided as a server or terminal device. Referring to FIG. 6, electronic device 1900 includes a processing component 1922 that further includes one or more processors and memory resources represented by memory 1932 for storing instructions, such as application programs, that can be executed by processing component 1922. The application programs stored in memory 1932 may include one or more modules each corresponding to a set of instructions. Further, processing component 1922 is configured to execute instructions to perform the methods described above.
The electronic device 1900 may also include a power component 1926 configured to perform power management of the electronic device 1900, a wired or wireless network interface 1950 configured to connect the electronic device 1900 to a network, and an input/output interface 1958 (I/O interface). The electronic device 1900 may operate an operating system based on a memory 1932, such as Windows Server TM ，Mac OS X TM ，Unix TM , Linux TM ，FreeBSD TM Or the like.
In an exemplary embodiment, a non-transitory computer readable storage medium is also provided, such as memory 1932, including computer program instructions executable by processing component 1922 of electronic device 1900 to perform the methods described above.
The present disclosure may be a system, method, and/or computer program product. The computer program product may include a computer readable storage medium having computer readable program instructions embodied thereon for causing a processor to implement aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: portable computer disks, hard disks, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static Random Access Memory (SRAM), portable compact disk read-only memory (CD-ROM), digital Versatile Disks (DVD), memory sticks, floppy disks, mechanical coding devices, punch cards or in-groove structures such as punch cards or grooves having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media, as used herein, are not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., optical pulses through fiber optic cables), or electrical signals transmitted through wires.
The computer readable program instructions described herein may be downloaded from a computer readable storage medium to a respective computing/processing device or to an external computer or external storage device over a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmissions, wireless transmissions, routers, firewalls, switches, gateway computers and/or edge servers. The network interface card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium in the respective computing/processing device.
Computer program instructions for performing the operations of the present disclosure can be assembly instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, c++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions may be executed entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present disclosure are implemented by personalizing electronic circuitry, such as programmable logic circuitry, field Programmable Gate Arrays (FPGAs), or Programmable Logic Arrays (PLAs), with state information of computer readable program instructions, which can execute the computer readable program instructions.
Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable medium having the instructions stored therein includes an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The foregoing description of the embodiments of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the technical improvements in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (8)
1. A method for determining carbon emissions of a steel structure, the method comprising:
determining at least one prefabrication procedure in the prefabrication process of the steel structure, and a functional unit corresponding to each prefabrication procedure, wherein the functional unit is a unit for calculating carbon emission of the corresponding prefabrication procedure;
generating a function unit list comprising the number of function units corresponding to each prefabrication procedure according to the target steel structure;
determining prefabricated carbon emission generated in the steel structure prefabrication process according to the function unit list, the function units corresponding to each prefabrication process and a carbon emission factor library, wherein the carbon emission factor library stores carbon emission factors corresponding to each function unit and is used for representing carbon emission generated by each corresponding function unit;
Determining the weight of the target steel structure;
calculating according to the weight of the target steel structure and a preset production carbon emission factor to obtain production carbon emission corresponding to the target steel structure;
determining target carbon emissions for producing the target steel structure according to the prefabricated carbon emissions and the production carbon emissions corresponding to the target steel structure;
determining the prefabricated carbon emission generated in the prefabrication process of the steel structure according to the function unit list, the function units corresponding to each prefabrication process and a carbon emission factor library, wherein the prefabricated carbon emission comprises the following components:
determining the carbon emission factor of each functional unit corresponding to the prefabrication procedure in the carbon emission factor library;
determining the number of the functional units corresponding to each prefabricated procedure according to the functional unit list;
calculating the product of the number of the functional units corresponding to each prefabrication process and the carbon emission factor to obtain carbon emission corresponding to the prefabrication process;
and determining the prefabricated carbon emission generated in the prefabrication process of the steel structure according to the sum of the corresponding carbon emissions of each prefabrication process.
2. The method of claim 1, wherein the prefabrication process comprises master blanking, master assembling, fitting blanking, fitting drilling, fitting assembling, component correction, component blasting, and component painting.
3. The method of claim 2, wherein the functional unit corresponding to the blanking of the main part is a cutting surface area of a steel material, the functional unit corresponding to the assembling of the main part is an assembling length, the functional unit corresponding to the assembling of the main part is a welding wire amount, the functional unit corresponding to the blanking of the accessory is a cutting surface area of the steel material, the functional unit corresponding to the assembling of the accessory is a drilling volume, the functional unit corresponding to the assembling of the accessory is a welding wire amount, the functional unit corresponding to the correction of the assembling member is a correction length, the functional unit corresponding to the shot blasting of the assembling member is a member surface area, and the functional unit corresponding to the painting of the assembling member is a painting weight.
4. The method of claim 1, wherein generating a list of functional units including a number of functional units corresponding to each prefabricated process from the target steel structure comprises:
generating a target steel structure based on the building model generation application;
determining a detailed structural diagram of a main part, a fitting part and a combined component included in the target steel structure based on steel structure detailed diagram design software, and a related report, wherein the related report comprises a number and a prefabrication procedure corresponding to each main part, fitting part and combined component;
And extracting the numbers corresponding to the main part, the accessory and the combined component and the engineering quantity corresponding to the prefabrication procedure according to the detailed structure diagram and the related report, and obtaining a functional unit list comprising the number of functional units corresponding to each prefabrication procedure.
5. The method of claim 1, wherein the carbon emission factor comprises at least one of a direct factor, an indirect factor, and an implicit factor.
6. A steel structure carbon emission determination device, characterized in that the device comprises:
the working procedure determining module is used for determining at least one prefabricating working procedure in the prefabricating process of the steel structure and a functional unit corresponding to each prefabricating working procedure, wherein the functional unit is a unit for calculating carbon emission of the corresponding prefabricating working procedure;
the list determining module is used for generating a functional unit list comprising the number of functional units corresponding to each prefabricated procedure according to the target steel structure;
the prefabricated carbon emission determining module is used for determining prefabricated carbon emission generated in the steel structure prefabrication process according to the function unit list, the function units corresponding to each prefabrication procedure and a carbon emission factor library, wherein the carbon emission factor library stores carbon emission factors corresponding to each function unit, and the carbon emission factors are used for representing carbon emission generated by each corresponding function unit;
A weight determination module for determining a weight of the target steel structure;
the production carbon emission determining module is used for calculating according to the weight of the target steel structure and a preset production carbon emission factor to obtain production carbon emission corresponding to the target steel structure;
a target carbon emission determining module for determining a target carbon emission for producing the target steel structure according to the prefabricated carbon emission and a production carbon emission corresponding to the target steel structure;
the prefabricated carbon emission determination module is further configured to:
determining the carbon emission factor of each functional unit corresponding to the prefabrication procedure in the carbon emission factor library;
determining the number of the functional units corresponding to each prefabricated procedure according to the functional unit list;
calculating the product of the number of the functional units corresponding to each prefabrication process and the carbon emission factor to obtain carbon emission corresponding to the prefabrication process;
and determining the prefabricated carbon emission generated in the prefabrication process of the steel structure according to the sum of the corresponding carbon emissions of each prefabrication process.
7. An electronic device, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement the method of any one of claims 1 to 5 when executing the instructions stored by the memory.
8. A non-transitory computer readable storage medium having stored thereon computer program instructions, which when executed by a processor, implement the method of any of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311650036.XA CN117350523B (en) | 2023-12-05 | 2023-12-05 | Steel structure carbon emission determining method and device, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311650036.XA CN117350523B (en) | 2023-12-05 | 2023-12-05 | Steel structure carbon emission determining method and device, electronic equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117350523A CN117350523A (en) | 2024-01-05 |
| CN117350523B true CN117350523B (en) | 2024-03-01 |
Family
ID=89367076
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311650036.XA Active CN117350523B (en) | 2023-12-05 | 2023-12-05 | Steel structure carbon emission determining method and device, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117350523B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114493961A (en) * | 2022-01-26 | 2022-05-13 | 国网江苏省电力有限公司经济技术研究院 | Comprehensive energy station carbon emission calculation method based on full life cycle evaluation |
| CN114511128A (en) * | 2021-11-29 | 2022-05-17 | 国网北京市电力公司 | Carbon emission data processing method and device, storage medium and processor |
| CN115660899A (en) * | 2022-12-12 | 2023-01-31 | 北京绿建软件股份有限公司 | Method and apparatus for estimating carbon emissions during construction of a building |
| CN116050934A (en) * | 2023-02-14 | 2023-05-02 | 中国特种设备检测研究院 | Product carbon footprint accounting method of industrial boiler |
| CN116720994A (en) * | 2023-04-28 | 2023-09-08 | 中国第一汽车股份有限公司 | Method and medium for accounting technical carbon emission in automobile industry |
| CN116776595A (en) * | 2023-06-19 | 2023-09-19 | 浙江吉利控股集团有限公司 | Carbon emission process flow construction method, device, equipment and storage medium |
| CN219753466U (en) * | 2023-04-13 | 2023-09-26 | 中建科工集团有限公司 | Low-carbon assembled steel structure assembly and building frame |
| EP4280149A1 (en) * | 2022-05-16 | 2023-11-22 | Hitachi, Ltd. | Investment determination assistance system, and investment determination assistance method |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130179207A1 (en) * | 2012-01-06 | 2013-07-11 | Skidmore Owings & Merrill Llp | Method and Apparatus for High Performance Design of a Project |
| US20230289911A1 (en) * | 2022-03-14 | 2023-09-14 | The Boston Consulting Group, Inc. | Ecosystem management engine in a carbon emissions management system |
-
2023
- 2023-12-05 CN CN202311650036.XA patent/CN117350523B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114511128A (en) * | 2021-11-29 | 2022-05-17 | 国网北京市电力公司 | Carbon emission data processing method and device, storage medium and processor |
| CN114493961A (en) * | 2022-01-26 | 2022-05-13 | 国网江苏省电力有限公司经济技术研究院 | Comprehensive energy station carbon emission calculation method based on full life cycle evaluation |
| EP4280149A1 (en) * | 2022-05-16 | 2023-11-22 | Hitachi, Ltd. | Investment determination assistance system, and investment determination assistance method |
| CN115660899A (en) * | 2022-12-12 | 2023-01-31 | 北京绿建软件股份有限公司 | Method and apparatus for estimating carbon emissions during construction of a building |
| CN116050934A (en) * | 2023-02-14 | 2023-05-02 | 中国特种设备检测研究院 | Product carbon footprint accounting method of industrial boiler |
| CN219753466U (en) * | 2023-04-13 | 2023-09-26 | 中建科工集团有限公司 | Low-carbon assembled steel structure assembly and building frame |
| CN116720994A (en) * | 2023-04-28 | 2023-09-08 | 中国第一汽车股份有限公司 | Method and medium for accounting technical carbon emission in automobile industry |
| CN116776595A (en) * | 2023-06-19 | 2023-09-19 | 浙江吉利控股集团有限公司 | Carbon emission process flow construction method, device, equipment and storage medium |
Non-Patent Citations (3)
| Title |
|---|
| Carbon emissions of prefabricated steel structure components: A case study in China;Zujian Huang;《Journal of Cleaner Production》;全文 * |
| 装配式钢结构建筑隐含碳排放计算与分析;张相勇;《建筑节能( 中英文)》;第51卷(第391期);第129-138页 * |
| 钢结构建筑装配式产品制作阶段碳排放研究;陈华周;《2022年工业建筑学术交流会论文集（下册）》;第215-222页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117350523A (en) | 2024-01-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113538517B (en) | Target tracking method and device, electronic equipment and storage medium | |
| CN107705069B (en) | Progress display method and device | |
| EP3176999B1 (en) | Method and device for processing information | |
| CA3074760A1 (en) | Method and apparatus for planning navigation region of unmanned aerial vehicle, and remote control | |
| CN107622367B (en) | Progress display method and device | |
| CN115660899A (en) | Method and apparatus for estimating carbon emissions during construction of a building | |
| CN117350523B (en) | Steel structure carbon emission determining method and device, electronic equipment and storage medium | |
| CN113762623B (en) | Landslide direction and trend identification and prediction method and device and electronic equipment | |
| CN108228929B (en) | Method and device for predicting accumulation form of insoluble substances in cavity building process of salt cavern gas storage | |
| CN108803891A (en) | A kind of information displaying method, device, electronic equipment and storage medium | |
| CN115908744B (en) | Method and device for sharing linkage of single body and total graph model data | |
| CN111885558A (en) | Electronic equipment positioning method and device | |
| CN117634970A (en) | Assembly carbon emission determining method, device, electronic equipment and storage medium | |
| EP3176740A1 (en) | Information processing method and apparatus, computer program and recording medium | |
| CN112211624A (en) | Reservoir fracture pressure determination method and device, electronic device and storage medium | |
| CN111949924B (en) | Determination method and apparatus for permeability, electronic device and storage medium | |
| CN110457084A (en) | A kind of loading method and device | |
| CN111914983B (en) | Interaction method and device, sound box, electronic equipment and storage medium | |
| CN117346287B (en) | Method and device for controlling fresh air quantity of building air conditioner, electronic equipment and storage medium | |
| CN116244866A (en) | Electrical equipment layout drawing method and device, electronic equipment and storage medium | |
| CN115935492A (en) | Method and device for processing shear wall edge member and electronic equipment | |
| CN115544700A (en) | Mining power supply system diagram drawing method and device, electronic equipment and storage medium | |
| CN107784224B (en) | Permission adaptation method and device and electronic equipment | |
| CN116307017A (en) | Nuclear power maintenance duration estimation method and device | |
| CN115130212A (en) | Method and device for determining vehicle section performance parameters and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |