Calculation method and device for carbon emission result in surface treatment operation and medium

Abstract

The invention discloses a method, a device and equipment for calculating a carbon emission result in surface treatment operation and a medium. The method comprises the steps that target processing data matched with target processing operation are obtained, and the target processing operation is composed of at least one processing procedure; calculating the target processing data through a preset carbon emission accounting model to obtain whole process chain processing carbon emission matched with the target processing operation, a total carbon emission amount, process value-added carbon emission matched with each processing process and process total carbon emission matched with each processing process; and according to the target processing data, the total carbon emission, the value-added carbon emission of each process, the whole-process-chain processing carbon emission and the total carbon emission of each process, a carbon emission result matched with the target processing operation is obtained through calculation based on a preset formula. By means of the technical scheme, calculation of the carbon emission result in the surface treatment operation process can be achieved, and the accuracy and precision of the carbon emission result are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of carbon emission accounting, and particularly relates to a method and device for calculating carbon emission results in surface treatment operation, equipment and medium. BACKGROUND

[0002] As a typical representative of high-end equipment manufacturing industry, aviation manufacturing has the characteristics of high system integration and strong industrial driving, and is a concentrated embodiment of national manufacturing technology strength.

[0003] Commercial aircraft have complex and harsh service environments, and have very high requirements for the performance of aircraft structural parts. The surface treatment processes such as anodizing and chemical oxidation can meet the performance requirements of parts in terms of corrosion resistance, fatigue resistance, wear resistance and the like. However, the current surface treatment processes generally have the characteristics of high energy consumption and high pollution. Especially in the production mode of multi-variety and small batch, the production continuity is strong, the process is very complex, there are many factors affecting carbon emission, and the value, energy consumption and carbon emission in the production process present a complex dynamic coupling relationship, resulting in unclear carbon emission characteristics of the whole process. Especially for multi-variety and small batch of aviation parts, the current carbon emission accounting and prediction still stays in the traditional static accounting and statistical analysis stage. So far, there is no effective method to accurately account and characterize the carbon emission of the whole process of surface treatment process.

[0004] In summary, the existing method for calculating carbon emission results in surface treatment operation has the problems of low result accuracy and low calculation accuracy. SUMMARY

[0005] The present application provides a method, device, equipment and medium for calculating carbon emission results in surface treatment operation, which can solve the problem of low result accuracy and low calculation accuracy of the existing method for calculating carbon emission results in surface treatment operation.

[0006] In a first aspect, the present application provides a method for calculating carbon emission results in surface treatment operation, which comprises:

[0007] obtaining target processing data matched with a target processing operation, wherein the target processing operation is composed of at least one processing procedure;

[0008] calculating the target processing data through a preset carbon emission accounting model to obtain whole-process-chain processing carbon emission, total carbon emission, processing value-added carbon emission matched with each processing procedure, and processing total carbon emission matched with each processing procedure, which are matched with the target processing operation;

[0009] According to the target processing data, the total carbon emission, the value-added carbon emission of each process, the whole process chain processing carbon emission, and the total carbon emission of each process, a carbon emission result matched with the target processing operation is calculated based on a preset formula.

[0010] In a second aspect, an embodiment of the present application provides a device for calculating carbon emission result in surface treatment operation, which comprises:

[0011] a data acquisition module configured to acquire target processing data matched with a target processing operation, wherein the target processing operation is composed of at least one processing process;

[0012] a model calculation module configured to calculate the target processing data by using a preset carbon emission accounting model to obtain whole process chain processing carbon emission, total carbon emission, value-added carbon emission of each processing process, and total carbon emission of each processing process matched with the target processing operation;

[0013] a result generation module configured to calculate a carbon emission result matched with the target processing operation based on a preset formula according to the target processing data, the total carbon emission, the value-added carbon emission of each process, the whole process chain processing carbon emission, and the total carbon emission of each process.

[0014] In a third aspect, an embodiment of the present application provides an electronic device, which comprises:

[0015] at least one processor; and

[0016] a memory in communication connection with the at least one processor; wherein

[0017] the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute a method for calculating carbon emission result in surface treatment operation according to any one of the embodiments of the present application.

[0018] In a fourth aspect, an embodiment of the present application provides a computer readable storage medium, which stores computer instructions for enabling a processor to execute a method for calculating carbon emission result in surface treatment operation according to any one of the embodiments of the present application.

[0019] The technical scheme of the embodiment of the present application obtains target processing data matched with a target processing operation, then calculates the target processing data through a preset carbon emission accounting model to obtain full-process chain processing carbon emission, total carbon emission, process value-added carbon emission matched with each processing procedure, and process total carbon emission matched with each processing procedure, and finally calculates the carbon emission result matched with the target processing operation based on a preset formula according to the target processing data, the total carbon emission, each process value-added carbon emission, full-process chain processing carbon emission, and each process total carbon emission, so as to solve the problem that the result accuracy and calculation accuracy of the existing carbon emission result calculation method in the surface treatment operation are poor, and realize the calculation of the carbon emission result in the surface treatment operation process, and improve the accuracy and precision of the carbon emission result.

[0020] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present application, nor is it used to limit the scope of the present application. Other features of the present application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0022] Figure 1 is a flow chart of a surface treatment operation carbon emission result calculation method according to the first embodiment of the present application;

[0023] Figure 2 is a flow chart of a surface treatment operation carbon emission result calculation method according to the second embodiment of the present application;

[0024] Figure 3 is a structural schematic diagram of a surface treatment operation carbon emission result calculation device according to the third embodiment of the present application;

[0025] Figure 4 is a structural schematic diagram of an electronic device for implementing a surface treatment operation carbon emission result calculation method according to the present application. DETAILED DESCRIPTION

[0026] In the following, the technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all the other embodiments obtained by a person of ordinary skill in the art without creative effort should fall within the protection scope of the present application.

[0027] It should be noted that the terms "first", "second" and the like in the description and claims of the present application and the above drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units need not be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0028] Embodiment one

[0029] Figure 1 A flowchart of a method for calculating carbon emission results in a surface treatment operation is provided for the first embodiment of the present application. The present embodiment can be applied to the case of calculating carbon emission results of carbon emission generated by surface treatment operation of parts. The method can be executed by a carbon emission result calculation device in a surface treatment operation, which can be realized in the form of hardware and / or software. The carbon emission result calculation device in a surface treatment operation can be configured in a terminal or server with the function of calculating carbon emission results in a surface treatment operation.

[0030] As shown in Figure 1 , the method comprises:

[0031] S110, obtaining target processing data matched with a target processing operation.

[0032] The target processing operation is composed of at least one processing procedure.

[0033] Specifically, the target processing operation refers to a complete surface treatment process for aluminum alloy parts (such as aluminum structural parts such as fuselage frames and wing rib plates), for example, the anodizing treatment process of a certain type of aircraft skin, which is composed of at least one continuous processing procedure such as degreasing and cleaning, alkaline etching and polishing, anodic oxidation, and sealing treatment. Each procedure corresponds to a specific process purpose.

[0034] Further, the target processing data includes: process number corresponding to each processing procedure, standby time and processing time, process transfer energy consumption between each adjacent processing procedure, at least one process processing consumption matched with each processing procedure, at least one process standby consumption, at least one process processing source factor and at least one process standby source factor, electric energy carbon emission factor matched with the target processing operation, crane transfer energy consumption and part area; wherein the number of process processing consumption in a processing procedure is consistent with the number of process processing source factors, and the number of process standby consumption is consistent with the number of process standby source factors.

[0035] Specifically, the target processing data covers multi-dimensional information: each processing procedure corresponds to a unique process number (such as a degreasing process number T-001, an anodic oxidation process number O-012, etc.), and standby time and processing time reflecting process time characteristics; wherein the standby time refers to the idle time after the equipment is started to wait for the loading of the part, and the processing time refers to the actual processing time of the part in the process; further, there is process transfer energy consumption between adjacent processing procedures, for example, when the part is lifted from the degreasing tank to the caustic etching tank by the workshop crane, the electric energy consumed by the operation of the crane motor, which is directly related to the transfer distance, the weight of the part and the energy efficiency of the equipment, needs to be noted that the operation of calculating the process transfer energy consumption through the attributes of the vehicle and the process transfer distance is a mature prior art, and the calculation process thereof will not be described herein; further, the parameters matched with each processing procedure include process processing consumption, process standby consumption and their corresponding source factors, the process processing consumption refers to the resources consumed in the process processing stage, such as the consumption of sulfuric acid electrolyte, cooling circulating water and direct current power in the anodic oxidation process, the process processing source factor is a quantitative parameter of carbon emission corresponding to each consumption, and the number of consumption items is one-to-one corresponding to the number of source factors; the process standby consumption refers to the resource consumption during the standby period of the equipment, such as the steam consumption during the heat preservation of the caustic etching tank and the electric energy consumption of the circulating pump idling, and the process standby source factor is the carbon emission conversion coefficient in the standby state.

[0036] Further, the target processing data further includes global parameters matched with the overall operation: the electric energy carbon emission factor is the emission coefficient of the power grid electric energy involved in the entire processing operation, which is used to uniformly quantify the carbon emission generated by electric energy consumption and can be directly obtained from public data; the crane transfer energy consumption refers to the total energy consumption of all crane transfer operations in the target processing operation. By collecting the above data, a basic database covering the whole process of the processing operation can be constructed, which provides accurate input parameters for the establishment of the subsequent carbon emission accounting model and solves the accounting problem of complex dynamic coupling relationship in the multi-variety and small-batch production mode.

[0037] S120, calculating the target processing data through a preset carbon emission accounting model to obtain full-process-chain processing carbon emission, total carbon emission, process value-added carbon emission respectively matched with each processing procedure, and process total carbon emission respectively matched with each processing procedure.

[0038] Specifically, the target processing data is calculated through a preset carbon emission accounting model to obtain full-process-chain processing carbon emission and total carbon emission matched with the target processing operation, including: according to the processing time corresponding to each processing procedure in the target processing data and the process consumption and process source factor respectively matched with each processing procedure, calculating the full-process-chain processing carbon emission CE p matched with the target processing operation; according to the standby time corresponding to each processing procedure in the target processing data and the standby consumption and standby source factor respectively matched with each processing procedure, calculating the full-process-chain standby carbon emission CE s matched with the target processing operation; according to the truck transfer energy consumption and the electric energy carbon emission factor in the target processing data, calculating the full-process-chain truck carbon emission CE T matched with the target processing operation; according to the formula CE total = CE p + CE s + CE T， , calculating the total carbon emission CE total matched with the target processing operation.

[0039] According to the processing time corresponding to each processing procedure in the target processing data and the process consumption and process source factor respectively matched with each processing procedure, calculating the full-process-chain processing carbon emission CE p matched with the target processing operation, including: obtaining the processing time t k respectively matched with each processing procedure, the process consumption U i and the process source factor CEF i in the target processing data, wherein k is the procedure number of the processing procedure, and i is a non-zero natural number; then calculating the process consumption matrix V based on the formula V = [U1... U n ], calculating the process carbon emission element model matrix CEP based on the formula CEP = [CEP1,..., CEP n ], wherein n is the total number of process consumption in the processing procedure; then calculating the process carbon emission element matrix CEP k based on the formula CEP T = V × CEF k matched with each processing procedure; finally calculating the processing carbon emission CEP = CEP × [t1,..., tN] N ] T The total process chain processing carbon emission CE p is calculated, where N is the total number of processing times.

[0040] The total process chain standby carbon emission CE s is calculated according to the standby time corresponding to each processing procedure in the target processing data and the process standby consumption and process standby source factor matched with each processing procedure, comprising: obtaining the standby time t' corresponding to each processing procedure in the target processing data; k the process processing consumption U' i and the process consumption source factor CES i , where k is the process number of the processing procedure, and i is a non-zero natural number; then calculating the process consumption matrix V' matched with each processing procedure based on the formula V' = [U'1,..., U'N]; n calculating the processing carbon emission element model matrix CES based on the formula CES = [CES1,..., CESN]; n , where n is the total number of process standby consumptions in the processing procedure; then calculating the processing carbon emission element matrix CES matched with each processing procedure based on the formula CES k = V' × CES T ; finally calculating the total process chain processing carbon emission CE k matched with the target processing operation based on the formula CE s = CRS × [t'1,..., t'N] N , where N is the total number of processing times. T s

[0041] The total process chain crane carbon emission CE T is calculated according to the crane transfer energy consumption and the electric energy carbon emission factor in the target processing data, comprising: obtaining the crane transfer energy consumption AD e and the electric energy carbon emission factor CEF e in the target data; then calculating the total process chain crane carbon emission CET matched with the target processing operation based on the formula CE T = AD e × CEF e .

[0042] ​​Furthermore, the target processing data is calculated by a preset carbon emission accounting model to obtain the value-added carbon emissions of each process matching the target processing operation, including: the processing consumption U corresponding to each processing process in the target processing data i , based on the formula V=[U1...U n ] Calculate and obtain the process consumption matrix V that matches each processing step, where n is the total number of process consumption in the processing step, and i is a non-zero natural number; according to the process processing source factor CEF corresponding to each processing step in the target processing data i and process number, based on the formula CEF=[CEF1,...,CEF n ] Calculate the carbon emission factor matrix CEF that matches each processing step, where n is the total amount of processing consumption in the processing step, and i is a non-zero natural number; according to the formula CEP k =V×CEF T Calculate and obtain the processing carbon emission element matrix that matches each processing step, where k is the process number of the current processing step; obtain the processing time t that matches the processing step in the target processing data. k , based on the formula CE va，k =CEP k ×t k Calculate the process value-added carbon emissions CE that matches the processing process va，k , where k is the process number of the current processing process.

[0043] On the basis of the above steps, the target processing data is calculated by a preset carbon emission accounting model to obtain the total carbon emissions of each process that matches each processing step, including: calculating the standby carbon emission element matrix CES that matches each processing step according to the standby consumption of each process and the standby source factor of each process corresponding to each processing step in the target processing data k ; Obtain the standby time, process transfer energy consumption and electric energy emission source factor matching the target processing operation in the target processing data; Based on the process value-added carbon emission CE matching the processing process va，k , Standby Carbon Emission Matrix CES k , standby time, process transfer energy consumption and the electric energy emission source factor, and calculate the total carbon emissions of the process that matches the processing process.

[0044] Specifically, the standby carbon emission matrix CES that matches each processing step is calculated based on the standby consumption of each processing step and the standby source factor of each processing step in the target processing data. k, including: obtaining the processing consumption U' of each process that matches each processing process in the target processing data i and each process consumption source factor CES i ; Then based on the formula V′=[U′1...U′ n ] Calculate the process consumption matrix V' that matches each processing process, based on the formula CES=[CES1,...,CES n ] Calculate the processing carbon emission metamodel matrix CES, where n is the total number of process standby consumption in the processing process; then based on the formula CES k =V'×CES T Calculate the processing carbon emission matrix CES that matches each processing step k .

[0045] Furthermore, based on the process value-added carbon emissions CE that matches the processing process va，k , Standby Carbon Emission Matrix CES k , standby time, process transfer energy consumption and the electric energy emission source factor, calculate the total carbon emissions of the process matching the processing process, including: obtaining the process value-added carbon emissions CE matching the processing process va，k , Standby Carbon Emission Matrix CES k , standby time t' k , process transfer energy consumption AD e,k And the electricity emission source factor CEF e , where k is the process number of the processing process; based on the formula CE total，k =CE va，k +CES k ×t′ k +AD e，i ×CEF e Calculate the total carbon emissions CE of the process matching the treatment process total，k .

[0046] S130. According to the target processing data, the total carbon emissions, the value-added carbon emissions of each process, the carbon emissions of the entire process chain, and the total carbon emissions of each process, a carbon emission result matching the target processing operation is calculated based on a preset formula.

[0047] Optionally, after obtaining the total process chain processing carbon emission, the total carbon emission, the process value-added carbon emission matched with each processing procedure and the process total carbon emission matched with each processing procedure matched with the target processing operation, the method further comprises: generating and displaying a value flow diagram matched with the target processing operation based on the target processing data, the total carbon emission matched with the target processing operation, the process value-added carbon emission, the total process chain processing carbon emission and the process total carbon emission matched with each processing procedure.

[0048] The value flow diagram is a four-dimensional data model including time flow, material flow, energy consumption flow and carbon emission flow through standardized graphics, and a multi-flow coupled analysis framework is established with carbon emission flow as the integration main line. Taking the anodization process of aircraft parts as an example, when drawing the value flow diagram, the time flow reflects the processing time of each procedure and the time of the parts in the transfer process; the material flow shows the material used in each procedure, such as the flow path of the alkaline cleaning solution, sulfuric acid and other chemicals; the energy consumption flow reflects the energy consumption of each procedure, such as the power consumption of each procedure; and the carbon emission flow directly presents the carbon emission of each procedure, including value-added carbon emission and total carbon emission. Through such a value flow diagram, the carbon emission of each link in the entire anodization process and their relationship with time, material and energy consumption can be clearly seen. After generating the value flow diagram, it will be displayed. The display mode can be various, and the common one is to display it on an electronic display screen in a graphical interface, so that the operator and the manager can directly see the overall carbon emission of the entire processing process. This visual display helps to find the hot procedures of carbon emission, i.e. the procedures with large carbon emission, and also identifies the resource waste at the macro operation level. For example, if it is found that the processing time of a procedure is too long, resulting in increased energy consumption and carbon emission, the process of this procedure can be optimized to improve production efficiency and reduce carbon emission. At the same time, the value flow diagram can also compare the carbon emission differences in the processing of different batches of parts, providing strong data support for formulating more effective emission reduction strategies.

[0049] The technical scheme of the embodiment of the present application obtains target processing data matched with a target processing operation, then calculates the target processing data through a preset carbon emission calculation model, obtains total process chain processing carbon emission, total carbon emission, process value-added carbon emission matched with each processing procedure and process total carbon emission matched with each processing procedure matched with the target processing operation, and finally calculates the carbon emission result matched with the target processing operation based on a preset formula according to the target processing data, the total carbon emission, the process value-added carbon emission, the total process chain processing carbon emission and the process total carbon emission, so as to realize the calculation of the carbon emission result in the surface treatment operation process and improve the accuracy and precision of the carbon emission result.

[0050] Embodiment Two

[0051] Figure 2 A flowchart of a calculation method of a surface treatment operation carbon emission result provided by Embodiment Two of the present application, which is refined based on the above-mentioned embodiment. In this embodiment, the method of calculating the carbon emission result matched with the target treatment operation based on the preset formula according to the target treatment data, the total carbon emission, the process value-added carbon emission of each process, the whole-process-chain processing carbon emission, and the total carbon emission of each process is refined.

[0052] As shown in Figure 2 , the method comprises:

[0053] S210, obtaining target treatment data matched with a target treatment operation.

[0054] The target treatment operation is composed of at least one treatment process.

[0055] S220, calculating the target treatment data through a preset carbon emission accounting model to obtain the whole-process-chain processing carbon emission matched with the target treatment operation, the total carbon emission, the process value-added carbon emission matched with each treatment process respectively, and the total carbon emission of each treatment process respectively.

[0056] S230, obtaining the total carbon emission CE total and the part area S total in the target treatment data, and calculating the surface treatment carbon emission intensity CI i matched with the target treatment operation according to the formula .

[0057] S240, obtaining the process value-added carbon emission CE va，k and the total carbon emission CE total，k of each treatment process respectively, and calculating the process carbon benefit η i matched with each treatment process respectively according to the formula .

[0058] S250, obtaining the whole-process-chain processing carbon emission CE p and the total carbon emission CE total matched with the target treatment operation, and calculating the value-added carbon efficiency η matched with the target treatment operation according to the formula .

[0059] S260, generating the carbon emission result matched with the target treatment operation according to the surface treatment carbon emission intensity CI i , the process carbon benefit η i , and the value-added carbon efficiency η.

[0060] In one specific embodiment of the present embodiment, the surface treatment carbon emission intensity CI i is a key indicator for measuring the carbon emission caused by unit input and output from the perspective of production capacity, which is defined as the ratio of total carbon emission generated in the whole process of surface treatment process to the total surface area of the batch of parts, with the unit of kgCO2e / cm 2 . For example, the total surface area of a batch of aircraft aluminum alloy parts is 8000 cm 2 , and the total carbon emission after surface treatment is 64 kgCO2e, then the surface treatment carbon emission intensity CI i = 64 kgCO2e ÷ 8000 cm 2 = 0.008 kgCO2e / cm 2 . The larger the value, the more carbon emission per unit surface area of the part produced, and the greater the impact on the environment; otherwise, the smaller. Further, the carbon benefit of each process reflects the comprehensive performance of each individual process in carbon emission. For example, the alkali cleaning process in the anodizing process, if the process consumes a certain amount of energy to clean the surface of the part and generate carbon emission, at the same time, the cleaning process effectively provides good surface conditions for the subsequent anodizing process, improving product quality, the relationship between the value-added carbon emission and the total carbon emission in this process reflects the carbon benefit of the alkali cleaning process. If the alkali cleaning process can efficiently complete the surface cleaning task under the condition of consuming less energy and materials, provide high-quality basis for the subsequent process, and the proportion of value-added carbon emission in total carbon emission is higher, the carbon benefit of the process is better; otherwise, if a large amount of resources are consumed but the product value is not effectively improved, the proportion of value-added carbon emission is low, and the carbon benefit is poor. Further, the value-added carbon efficiency η is divided into process value-added carbon efficiency and process whole flow value-added carbon efficiency. The process value-added carbon efficiency η i is the ratio of process value-added carbon emission to process total carbon emission, which is used to represent the proportion of effective carbon emission for producing parts in each process. For example, in the anodizing 1 process, if the total carbon emission of the process is 10 kgCO2e, and the value-added carbon emission is 3 kgCO2e, then the process value-added carbon efficiency η i = 3 kgCO2e ÷ 10 kgCO2e = 0.3. The process whole flow value-added carbon efficiency η is the ratio of all process value-added carbon emission to total carbon emission, which is used to evaluate the value-added carbon emission of a batch of parts treated by the surface treatment intelligent oxidation line. Assuming that a surface treatment process includes 5 processes, the value-added carbon emission of each process is 2 kgCO2e, 3 kgCO2e, 1 kgCO2e, 4 kgCO2e, and 2 kgCO2e, and the total carbon emission is 30 kgCO2e, then the process whole flow value-added carbon efficiency η = (2 + 3 + 1 + 4 + 2) kgCO2e ÷ 30 kgCO2e = 0.4.

[0061] On the basis of the above steps, by integrating these information, the generated carbon emission results can be presented in various forms, and the embodiment does not limit the specific presentation method. Exemplarily, a common way is to make detailed data report, in which the values of surface treatment carbon emission intensity CI i , the specific data of carbon benefit of each process (such as the value-added carbon emission of each process, the total carbon emission and the carbon benefit ratio), the values of process value-added carbon efficiency and process whole-flow value-added carbon efficiency are clearly listed, and accompanied by text description and analysis, pointing out the carbon emission advantages and problems in the process. Another way is to compare the carbon benefit and value-added carbon efficiency of each process through visual charts such as bar chart, and line chart to show the trend of surface treatment carbon emission intensity in different batches of parts processing, so that the carbon emission results are more intuitive and easy to understand, which is convenient for technical personnel, management personnel and decision makers to clearly understand the carbon emission status of the target processing operation, so as to formulate targeted energy-saving and emission-reducing measures, optimize the surface treatment process, reduce carbon emission and realize sustainable development.

[0062] The technical scheme of the embodiment of the present application, by obtaining target processing data matched with the target processing operation, then calculating the target processing data through the preset carbon emission accounting model, obtaining the whole process chain processing carbon emission matched with the target processing operation, the total carbon emission, the process value-added carbon emission matched with each processing process respectively and the process total carbon emission matched with each processing process respectively, then obtaining the total carbon emission and the part area in the target processing data, calculating the surface treatment carbon emission intensity matched with the target processing operation according to the preset formula, then obtaining the process value-added carbon emission matched with each processing process respectively and the process total carbon emission, calculating the process carbon benefit matched with each processing process respectively according to the preset formula, then obtaining the whole process chain processing carbon emission matched with the target processing operation and the total carbon emission, calculating the value-added carbon efficiency matched with the target processing operation according to the formula, and finally generating the carbon emission result matched with the target processing operation according to the surface treatment carbon emission intensity, the process carbon benefit and the value-added carbon efficiency, realizing the calculation of the carbon emission result in the surface treatment operation process, and improving the accuracy and precision of the carbon emission result.

[0063] Embodiment three

[0064] Figure 3 A structure schematic diagram of a surface treatment operation carbon emission result calculation device provided by the third embodiment of the present application is shown in FIG. 3. Figure 3 As shown in the figure, the device comprises:

[0065] A data acquisition module 310 is configured to acquire target processing data matched with a target processing operation, wherein the target processing operation is composed of at least one processing process.

[0066] A model calculation module 320 is configured to calculate the target processing data using a preset carbon emission accounting model to obtain the full process chain processing carbon emissions, total carbon emissions, process value-added carbon emissions corresponding to each processing step, and total process carbon emissions corresponding to each processing step.

[0067] The result generation module 330 is used to calculate the carbon emission results matching the target processing operation based on a preset formula according to the target processing data, the total carbon emissions, the value-added carbon emissions of each process, the carbon emissions of the entire process chain and the total carbon emissions of each process.

[0068] The technical solution of the embodiment of the present invention obtains target processing data that matches the target processing operation, and then calculates the target processing data through a preset carbon emission accounting model to obtain the full process chain processing carbon emissions, total carbon emissions, process value-added carbon emissions that match each processing step, and total process carbon emissions that match each processing step. Finally, according to the target processing data, the total carbon emissions, the value-added carbon emissions of each step, the full process chain processing carbon emissions, and the total carbon emissions of each step, the carbon emission results that match the target processing operation are calculated based on a preset formula, thereby realizing the calculation of carbon emission results during the surface treatment operation and improving the accuracy and precision of the carbon emission results.

[0069] Based on the above embodiment, the model calculation module 320 includes:

[0070] The full process chain processing carbon emission calculation unit is used to calculate the full process chain processing carbon emission CE matching the target processing operation based on the processing time corresponding to each processing step in the target processing data and the processing consumption of each processing step and the processing source factor of each processing step. p ;

[0071] The whole process chain standby carbon emission calculation unit is used to calculate the whole process chain standby carbon emission CE matching the target processing operation based on the standby time corresponding to each processing step in the target processing data and the standby consumption of each process matched to each processing step and the standby source factor of each process. s ;

[0072] The full process chain driving carbon emission calculation unit is used to calculate the full process chain driving carbon emission CE matching the target processing operation based on the driving and transportation energy consumption and electric energy carbon emission factor in the target processing data. T ;

[0073] Total carbon emissions calculation unit, used to calculate the total carbon emissions according to the formula CE total=CE p +CE s +CE T， Calculate the total carbon emissions CE that matches the target processing operation total .

[0074] Based on the above embodiment, the model calculation module 320 further includes:

[0075] The process consumption matrix calculation unit is used to calculate the processing consumption U of each process corresponding to each processing process in the target processing data. i , based on the formula V=[U1...U n ] Calculate and obtain the process consumption matrix V that matches each processing step, where n is the total number of process consumptions in the processing step, and i is a non-zero natural number;

[0076] The carbon emission factor matrix calculation unit is used to calculate the processing source factor CEF of each process corresponding to each processing process in the target processing data. i and process number, based on the formula CEF=[CEF1,...,CEF n ] Calculate and obtain the carbon emission factor matrix CEF that matches each processing step, where n is the total amount of processing consumption in the processing step, and i is a non-zero natural number;

[0077] Processing carbon emission matrix calculation unit for CEP k =V×CEF T The processing carbon emission element matrix matching each processing step is calculated, where k is the process number of the current processing step;

[0078] The process value-added carbon emission calculation unit is used to obtain the processing time t that matches the processing process in the target processing data. k , based on the formula CE va，k =CEP k ×t k Calculate the process value-added carbon emissions CE that matches the processing process va，k , where k is the process number of the current processing process.

[0079] Based on the above embodiment, the model calculation module 320 further includes:

[0080] The standby carbon emission matrix calculation unit is used to calculate the standby carbon emission matrix CES that matches each processing step according to the standby consumption of each processing step and the standby source factor of each processing step in the target processing data. k ;

[0081] a data acquisition unit configured to acquire standby time, process transfer energy consumption matched with the process procedure, and electric energy emission source factor matched with the target processing operation from the target processing data;

[0082] a process total carbon emission calculation unit configured to calculate process total carbon emission matched with the process procedure based on process added value carbon emission CE va，k , standby carbon emission element matrix CES k , standby time, process transfer energy consumption, and the electric energy emission source factor.

[0083] On the basis of the above-mentioned embodiments, the result generation module 330 comprises:

[0084] a surface treatment carbon emission intensity calculation unit configured to acquire carbon emission total amount CE total and part area S total in the target processing data, and calculate surface treatment carbon emission intensity CI i matched with the target processing operation according to formula ;

[0085] a process carbon benefit calculation unit configured to acquire process added value carbon emission CE va,k and process total carbon emission CE total，k matched with each process procedure respectively, and calculate process carbon benefit η i matched with each process procedure respectively according to formula ;

[0086] an added value carbon efficiency calculation unit configured to acquire total process chain processing carbon emission CE p and carbon emission total amount CE total , and calculate added value carbon efficiency η matched with the target processing operation according to formula ;

[0087] a carbon emission result generation unit configured to generate carbon emission result matched with the target processing operation according to surface treatment carbon emission intensity CI i , each process carbon benefit η i , and added value carbon efficiency η.

[0088] On the basis of the above-mentioned embodiments, the model calculation module 320 is further configured to: calculate the target processing data by using a preset carbon emission accounting model, to obtain full-process-chain processing carbon emission, total carbon emission, process value-added carbon emission respectively matched with each processing procedure, and process total carbon emission respectively matched with each processing procedure; and generate and display a value stream diagram matched with the target processing operation based on the target processing data, the total carbon emission matched with the target processing operation, the process value-added carbon emission, the full-process-chain processing carbon emission, and the process total carbon emission respectively matched with each processing procedure.

[0089] The device for calculating carbon emission results in surface treatment operations provided in the embodiments of the present application can execute the method for calculating carbon emission results in surface treatment operations provided in any of the embodiments of the present application, and has the function modules and beneficial effects corresponding to the execution method.

[0090] Embodiment Four

[0091] Figure 4 A structural schematic diagram of an electronic device 10 that can be used to implement embodiments of the present application is shown. The electronic device is intended to represent various forms of digital computers, such as laptops, desktops, tablets, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular telephones, smart phones, wearable devices (e.g., headsets, glasses, watches, etc.), and other similar computing devices. The components shown here, their connections and relationships, and their functions, are meant to be examples only, and are not intended to limit the implementations of the present application described and / or claimed in this document.

[0092] As shown in Figure 4 The electronic device 10 includes at least one processor 11, and a memory, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., which are in communication with the at least one processor 11, wherein the memory stores a computer program that can be executed by the at least one processor. The processor 11 can execute various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or loaded from the storage unit 18 into the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0093] A plurality of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, and the like; an output unit 17, such as various types of displays, speakers, and the like; a storage unit 18, such as a magnetic disk, an optical disk, and the like; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, and the like. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network, such as the Internet, and / or various telecommunication networks.

[0094] The processor 11 can be various general and / or special-purpose processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, and the like. The processor 11 performs various methods and processes described above, such as a method of calculating carbon emission results in a surface treatment operation.

[0095] Correspondingly, the method includes:

[0096] obtaining target processing data matched with a target processing operation, wherein the target processing operation is composed of at least one processing procedure;

[0097] calculating, by a preset carbon emission accounting model, the target processing data to obtain full-process-chain processing carbon emission, total carbon emission, procedure value-added carbon emission matched with each processing procedure, and procedure total carbon emission matched with each processing procedure, which are matched with the target processing operation;

[0098] calculating, according to the target processing data, the total carbon emission, each procedure value-added carbon emission, full-process-chain processing carbon emission, and each procedure total carbon emission, a carbon emission result matched with the target processing operation based on a preset formula.

[0099] In some embodiments, a method of calculating carbon emission results in a surface treatment operation can be implemented as a computer program tangibly embodied in a computer readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded onto the RAM 13 and executed by the processor 11, one or more steps of the method of calculating carbon emission results in a surface treatment operation described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to perform the method of calculating carbon emission results in a surface treatment operation by any other appropriate means, such as by means of firmware.

[0100] The various embodiments of the systems and techniques described above can be implemented in digital electronic circuitry, integrated circuitry, a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a system on a chip (SOC), a load programmable logic device (CPLD), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

[0101] Computer programs used to implement the processes of the application can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer program

[0102] In the context of the present application, a computer-readable storage medium can be a tangible medium that can contain or store computer programs for use by or in connection with an instruction execution system, apparatus, or device. Computer-readable storage media can include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium will include one or more lines of electrical connections, portable computer disks, hard disk drives, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or Flash memory), optical fibers, portable compact disc read-only memories (CD-ROMs), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0103] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0104] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0105] A computing system may include clients and servers. The clients and servers are typically remote from each other and typically interact via a communication network. This client-server relationship arises through computer programs running on the respective computers, creating a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host. This server is a hosting product within a cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosting and VPS services.

[0106] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in the present invention can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved. This is not limited herein.

Claims

1. A method for calculating carbon emissions in surface treatment operations, characterized in that: include: Acquire target processing data matching a target processing operation, wherein the target processing operation consists of at least one processing step; The target processing data is calculated using a preset carbon emission accounting model to obtain the full process chain processing carbon emissions, total carbon emissions, process value-added carbon emissions that match each processing step, and total process carbon emissions that match each processing step; According to the target processing data, the total carbon emissions, the value-added carbon emissions of each process, the carbon emissions of the entire process chain and the total carbon emissions of each process, the carbon emission results matching the target processing operation are calculated based on a preset formula.

2. The method according to claim 1, characterized in that The target processing data includes: the process number, standby time and processing time corresponding to each processing process, the process transfer energy consumption between adjacent processing processes, at least one process processing consumption matched with each processing process, at least one process standby consumption, at least one process processing source factor and at least one process standby source factor, the electric energy carbon emission factor matched with the target processing operation, the driving transfer energy consumption and the part area; wherein, in a processing process, the number of process processing consumption is consistent with the number of process processing source factors, and the number of process standby consumption is consistent with the number of process standby source factors.

3. The method according to any one of claims 1-2, characterized in that The target processing data is calculated using a preset carbon emission accounting model to obtain the full process chain processing carbon emissions and total carbon emissions that match the target processing operation, including: According to the processing time corresponding to each processing step in the target processing data, the processing consumption of each processing step and the processing source factor of each processing step, the carbon emission CE of the whole process chain matching the target processing operation is calculated. p ; According to the standby time corresponding to each processing step in the target processing data, the standby consumption of each processing step matched to each processing step, and the standby source factor of each process, the standby carbon emission CE of the whole process chain matching the target processing operation is calculated. s ; Based on the driving and transporting energy consumption and electric energy carbon emission factor in the target processing data, the driving carbon emission CE of the entire process chain matching the target processing operation is calculated. T ; According to the formula CE total =CE p +CE s +CE T， Calculate the total carbon emissions CE that matches the target processing operation total .

4. The method according to any one of claims 1 to 2, characterized in that The target processing data is calculated using a preset carbon emission accounting model to obtain the value-added carbon emissions of each process that matches the target processing operation, including: According to the processing consumption U of each process corresponding to each processing process in the target processing data i , based on the formula V=[U1...U n ] Calculate and obtain the process consumption matrix V that matches each processing step, where n is the total number of process consumptions in the processing step, and i is a non-zero natural number; According to the processing source factors CEF of each process corresponding to each processing process in the target processing data i and process number, based on the formula CEF=[CEF1,...,CEF n ] Calculate and obtain the carbon emission factor matrix CEF that matches each processing step, where n is the total amount of processing consumption in the processing step, and i is a non-zero natural number; According to the formula CEP k =V×CEF T The processing carbon emission element matrix matching each processing step is calculated, where k is the process number of the current processing step; Obtain the processing time tk that matches the processing step in the target processing data, based on the formula CE va，k =CEP k ×t k Calculate the process value-added carbon emissions CE that matches the processing process va，k , where k is the process number of the current processing process.

5. The method according to any one of claims 1 to 4, characterized in that The target processing data is calculated using a preset carbon emission accounting model to obtain the total carbon emissions of each processing step, including: The standby carbon emission element matrix CES matching each processing step is calculated based on the standby consumption of each processing step and the standby source factor of each processing step in the target processing data. k ; Obtaining, from the target processing data, a standby time matching the processing process, a process transfer energy consumption, and an electric energy emission source factor matching the target processing operation; Based on the process value-added carbon emissions CE that matches the processing process va，k , Standby Carbon Emission Matrix CES k , standby time, process transfer energy consumption and the electric energy emission source factor, and calculate the total carbon emissions of the process that matches the processing process.

6. The method according to claim 1, characterized in that Based on the target processing data, the total carbon emissions, the value-added carbon emissions of each process, the carbon emissions of the entire process chain, and the total carbon emissions of each process, a carbon emission result matching the target processing operation is calculated based on a preset formula, including: Get the total carbon emissions CEtotal and the part area S in the target processing data total , according to the formula Calculate the carbon emission intensity CI of the surface treatment that matches the target treatment operation i ; Obtain the process value-added carbon emissions CE that matches each processing step va，k And the total carbon emissions CE of the process total，k , according to the formula Calculate the process carbon benefit η that matches each treatment process i ; Obtain the carbon emissions CEp and total carbon emissions CE of the entire process chain that matches the target processing operation total , according to the formula Calculating the value-added carbon efficiency η that matches the target processing operation; Carbon emission intensity CI according to the surface treatment i 、Carbon benefit η of each process i And the value-added carbon efficiency η generates a carbon emission result that matches the target processing operation.

7. The method according to claim 1, characterized in that The target processing data is calculated using a preset carbon emission accounting model to obtain the full process chain processing carbon emissions, total carbon emissions, process value-added carbon emissions that match each processing step, and process total carbon emissions that match each processing step, and further include: Based on the target processing data, the total carbon emissions matching the target processing operation, the value-added carbon emissions of each process, the processing carbon emissions of the entire process chain, and the total carbon emissions of the processes matching each processing process, a value stream map matching the target processing operation is generated and displayed.

8. A device for calculating carbon emission results in surface treatment operations, characterized in that: include: a data acquisition module, configured to acquire target processing data matching a target processing operation, wherein the target processing operation is composed of at least one processing step; a model calculation module, configured to calculate the target processing data using a preset carbon emission accounting model to obtain the full process chain processing carbon emissions, total carbon emissions, process value-added carbon emissions corresponding to each processing step, and process total carbon emissions corresponding to each processing step; A result generation module is used to calculate the carbon emission results that match the target processing operation based on a preset formula according to the target processing data, the total carbon emissions, the value-added carbon emissions of each process, the carbon emissions of the entire process chain, and the total carbon emissions of each process.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so as to enable the at least one processor to execute a method for calculating carbon emission results in a surface treatment operation according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement a method for calculating carbon emission results in a surface treatment operation according to any one of claims 1 to 7 when executed.

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