Method, device and equipment for calculating carbon removal benefit of part and medium

Abstract

The invention discloses a part carbon removal benefit calculation method and device, equipment and a medium. The method comprises the following steps: acquiring carbon emission data, processing data, production data and material removal data of a target part; the total carbon emission amount C of the target part is obtained through calculation based on the carbon emission data of the target part, the machining benefit B of the target part is obtained through calculation based on the machining data of the target part, and the production cycle T of the target part is obtained through calculation according to the production data, the material removal rate M of the target part is obtained through calculation according to the material removal data; and calculating the carbon removal benefit of the target part according to the total carbon emission amount C, the processing benefit B, the production cycle T and the material removal rate M of the target part. Through the technical scheme of the invention, the calculation of the carbon removal benefit of the part can be realized, and the precision of the calculation of the carbon removal benefit of the part and the accuracy of the calculated carbon removal benefit result are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of benefit accounting, in particular to a part removal carbon benefit calculation method, device, equipment and medium. BACKGROUND

[0002] With the massive emission of greenhouse gases, global climate warming, environmental degradation and other problems are becoming increasingly serious, and carbon emissions have become the focus of international attention.

[0003] In the field of mechanical processing, experts and scholars have researched the energy consumption sources and energy saving problems of the processing process based on processing energy efficiency theory and technology. However, these studies often only focus on low-carbon manufacturing, ignoring factors such as processing efficiency, economic benefit and production time. At the same time, it is difficult to comprehensively represent the economic and environmental properties of the processing technology from the carbon emission dimension. Current carbon efficiency research is mostly focused on the multi-input / multi-output manufacturing characteristics of the processing process, and the calculated carbon emissions and carbon efficiency are relatively general and rough, and are not combined with the actual manufacturing characteristics of the processing technology, making it difficult to accurately reveal the carbon emission hotspots in the manufacturing and processing process.

[0004] In addition, mechanical parts have characteristics such as high precision, high material removal rate, complex structure, long process route, etc., resulting in numerous factors affecting removal carbon benefit, complex carbon emission mechanism and law, and large carbon emissions. In summary, at present, the removal carbon benefit calculation model and method for part manufacturing and processing are not perfect, resulting in low precision of part removal carbon benefit calculation and low accuracy of removal carbon benefit results calculated by the prior art. SUMMARY

[0005] The present application provides a part removal carbon benefit calculation method, device, equipment and medium, which can solve the problem of low precision of part removal carbon benefit calculation and low accuracy of removal carbon benefit results calculated by the prior art.

[0006] In a first aspect, the embodiments of the present application provide a part removal carbon benefit calculation method, which comprises:

[0007] Obtaining carbon emission data, processing data, production data and material removal data of a target part;

[0008] Based on the carbon emission data of the target part, the total carbon emission C of the target part is calculated, based on the processing data of the target part, the processing benefit B of the target part is calculated, based on the production data, the production cycle T of the target part is calculated, and based on the material removal data, the material removal rate M of the target part is calculated;

[0009] The removal carbon benefit of the target part is calculated according to the total carbon emission C, the processing benefit B, the production cycle T and the material removal rate M of the target part.

[0010] In a second aspect, an embodiment of the present application provides a device for calculating removal carbon benefit of a part, which comprises:

[0011] a data acquisition module, configured to acquire carbon emission data, processing data, production data and material removal data of a target part;

[0012] a data calculation module, configured to calculate the total carbon emission C of the target part based on the carbon emission data of the target part, to calculate the processing benefit B of the target part based on the processing data of the target part, to calculate the production cycle T of the target part according to the production data, and to calculate the material removal rate M of the target part according to the material removal data;

[0013] a removal carbon benefit acquisition module, configured to calculate the removal carbon benefit of the target part according to the total carbon emission C, the processing benefit B, the production cycle T and the material removal rate M of the target part.

[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 connected 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 the method for calculating removal carbon benefit of a part 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 the method for calculating removal carbon benefit of a part according to any one of the embodiments of the present application.

[0019] The technical scheme of the embodiment of the present application is characterized in that: first, carbon emission data, machining data, production data and material removal data of a target part are acquired; then, the total carbon emission C of the target part is calculated based on the carbon emission data of the target part, the machining benefit B of the target part is calculated based on the machining data of the target part, the production cycle T of the target part is calculated according to the production data, and the material removal rate M of the target part is calculated according to the material removal data; finally, the removal carbon benefit of the target part is calculated according to the total carbon emission C, the machining benefit B, the production cycle T and the material removal rate M of the target part. The embodiment of the present application solves the problems that the precision of the removal carbon benefit calculation of the prior art and the accuracy of the removal carbon benefit result calculated by the prior art are both low, realizes the calculation of the removal carbon benefit of the part, and improves the precision of the removal carbon benefit calculation of the part and the accuracy of the removal carbon benefit result calculated by the part.

[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 also be obtained by those skilled in the art without creative labor.

[0022] Figure 1 is a flow chart of a removal carbon benefit calculation method of a part according to an embodiment of the present application;

[0023] Figure 2 is a flow chart of a removal carbon benefit calculation method of a part according to an embodiment of the present application;

[0024] Figure 3 is a structural schematic diagram of a removal carbon benefit calculation device of a part according to an embodiment of the present application;

[0025] Figure 4 is a structural schematic diagram of an electronic device for implementing a removal carbon benefit calculation method of a part according to an embodiment of 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 belong to the scope of protection 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 application described herein can be implemented in other than the order illustrated or described herein. In addition, the terms "comprise" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes a list 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 such processes, methods, products or devices.

[0028] Embodiment one

[0029] Figure 1 A flowchart of a part removal carbon benefit calculation method provided by the first embodiment of the present application, the present embodiment can be applicable to the case of calculating the removal carbon benefit of a part, and the method can be executed by a part removal carbon benefit calculation device, which can be realized in the form of hardware and / or software, and can be configured in a terminal or a server having a part removal carbon benefit calculation function.

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

[0031] S110, obtaining carbon emission data, processing data, production data and material removal data of a target part.

[0032] In the present embodiment, the target part can be an aeronautical mechanical part of an aircraft manufacturing industry.

[0033] S120, calculating a total carbon emission C of the target part based on the carbon emission data of the target part, calculating a processing benefit B of the target part based on the processing data of the target part, calculating a production cycle T of the target part according to the production data, and calculating a material removal rate M of the target part according to the material removal data.

[0034] ​The total carbon emission C of the target part is calculated based on the carbon emission data of the target part, including: obtaining the raw material carbon emission factor CEF in the carbon emission data; ce , blank material quality M stock , cutting time T cutting , cutting fluid replacement cycle T0, initial cutting fluid volume V fluid,original , cutting fluid volume V added each time fluid,added , Carbon emission coefficient of cutting fluid production Ce fluid , Tool scrapping time T tool , tool regrinding times n tool , Carbon emission coefficient of tool production Ce tool,product , Tool grinding carbon emission coefficient Ce tool,regrinding And the tool mass m tool , according to the formula Calculate the material carbon emissions CE of the target part G ; Get the processing power function P of the i-th equipment in the carbon emission data i (t), the basic energy consumption power P of the i-th device steady,i , auxiliary equipment power P j , total processing time T all , local power grid carbon emission factor Ce electricity , the total number of processing equipment used in the processing process n, the number of auxiliary equipment used in the processing process m, the initial time t0 of the use of the i-th equipment, the end time t1 of the use of the i-th equipment, and the total time t all,i , according to the formula

[0035] Calculate the energy carbon emission CE of the target part E ; Get the total material removal volume MRV in carbon emission data total , material density ρ material , Carbon emission coefficient of waste chip treatment Ce chip,disposal , waste tool mass m dtool , Carbon emission coefficient of waste tool treatment Ce tool,disposal , cutting fluid recovery rate η, waste cutting fluid treatment carbon emission coefficient Ce dfluid , according to the formula Calculate the process carbon efficiency CE of the target part P ; According to the formula C = CE G +CE R +CE P The total carbon emission C of the target part is calculated.

[0036] Furthermore, the processing benefit B of the target part is calculated based on the processing data of the target part, including: obtaining the hourly rate C of the i-th equipment in the processing data MACHAIN,i And the cutting time T of the i-th equipment MACHAIN,i , according to the formula Calculate the equipment cost B of the target part MACHAIN ; Get the labor hourly rate C in the processing data LABOR and labor use time T LABOR , according to formula B LABOR =C LABOR ×T LABOR Calculate the labor cost B of the target part LABOR ; Get the raw material unit price Y in the processing data STOCK And the weight of raw materials M STOCK , according to formula B STOCK =Y STOCK ×M STOCK Calculate the raw material cost B of the target part STOCK ; Get the hourly rate C of the i-th tool in the processing data TO,i 、The usage time of the i-th tool is T TO,i 、Equivalent annual cost of tooling UAC i , initial purchase cost IC of tooling part i i 、Annual return rate of investment in tooling for part i m i , the total number of tooling n, the useful life of the i-th tooling n i and the annual usage hours t of the i-th tool y,i , according to the formula Calculate the tooling cost B of the target part TO ; Get the cutting time T of the i-th tool in the processing data M,i 、The life of the i-th knife T L,i , the number of times the i-th knife is re-sharpened n tool,i , the total number of tools n, the cost of the i-th tool Y T,i , Tool Changing Equipment Hourly Rate C T,change , Tool changing labor hourly rate C T, labo r and the i-th knife replacement time T C,i , according to the formula Calculate the tool cost B of the target part TOOL ; Get the cutting time T in the processing data cutting , cutting fluid replacement cycle T0, initial cutting fluid volume V fluid,original , cutting fluid volume V added each time fluid,added And the cutting fluid unit price Y FLUID , based on the formula The cutting fluid cost B of the target part is calculated fluid ; according to the formula B o = B MACHAIN + B LABOR + B STOCK + B TO + B TOOL + B FLUID The processing cost B of the target part is calculated O ; the target selling price B of the target part in the processing data is obtained S , according to the formula B = B S - B O The processing benefit B of the target part is calculated.

[0037] Further, the production cycle T of the target part is calculated according to the production data, comprising: obtaining the cutting processing time T MACHAIN , the labor usage time T LABOR and the tool replacement time T C in the production data, according to the formula T = T MACHAIN + T LABOR + T C The production cycle T of the target part is calculated.

[0038] Further, the material removal rate M of the target part is calculated according to the material removal data, comprising: obtaining the material volume change amount ΔV and the unit cutting time Δt in the material removal data, according to the formula The material removal rate M of the target part is calculated.

[0039] S130, the removal carbon benefit of the target part is calculated according to the total carbon emission C, the processing benefit B, the production cycle T and the material removal rate M of the target part.

[0040] Specifically, the removal carbon benefit of the target part is calculated according to the total carbon emission C, the processing benefit B, the production cycle T and the material removal rate M of the target part, comprising: according to the formula The removal carbon benefit C η B of the target part is calculated.

[0041] The carbon removal benefit refers to the benefit brought by reducing or removing the emission of greenhouse gases such as carbon dioxide through certain methods or measures. In different fields and situations, the carbon removal benefit may have different specific meanings and applications. Generally, it can include the following aspects: 1) environmental benefits: the positive effects of reducing greenhouse gas emissions on mitigating climate change, protecting the ecological environment and biodiversity, etc.; 2) economic benefits: cost savings or increased revenue through reducing energy consumption, improving resource utilization efficiency, or obtaining economic returns from the carbon market; 3) social benefits: the positive impact on society such as improving public health, enhancing social image, and strengthening social responsibility.

[0042] The technical solution of the embodiment of the present application first acquires the carbon emission data, processing data, production data and material removal data of the target part, then calculates the total carbon emission C of the target part based on the carbon emission data of the target part, calculates the processing benefit B of the target part based on the processing data of the target part, calculates the production cycle T of the target part according to the production data, and calculates the material removal rate M of the target part according to the material removal data, and finally calculates the carbon removal benefit of the target part based on the total carbon emission C, the processing benefit B, the production cycle T and the material removal rate M of the target part. The calculation of the carbon removal benefit of the part is realized, and the accuracy of the calculation of the carbon removal benefit of the part and the accuracy of the calculated carbon removal benefit result are improved.

[0043] Embodiment two

[0044] Figure 2 A flowchart of a part carbon removal benefit calculation method provided by the second embodiment of the present application is provided. The present embodiment is based on the above-mentioned embodiments and supplements the method after calculating the carbon removal benefit of the target part.

[0045] As Figure 2 shown, the method comprises:

[0046] S210, acquiring the carbon emission data, processing data, production data and material removal data of the target part.

[0047] S220, calculating the total carbon emission C of the target part based on the carbon emission data of the target part, calculating the processing benefit B of the target part based on the processing data of the target part, calculating the production cycle T of the target part according to the production data, and calculating the material removal rate M of the target part according to the material removal data.

[0048] S230, calculate the carbon removal benefit of the target part according to the total carbon emission C, the processing benefit B, the production cycle T and the material removal rate M of the target part.

[0049] S240, obtain the total number of target parts in the target equipment and the carbon removal benefit matched with each target part.

[0050] The target equipment can be related equipment containing target parts in the aircraft manufacturing industry.

[0051] S250, superimpose the carbon removal benefits of each target part to obtain the total carbon removal benefit of the target equipment.

[0052] S260, obtain the carbon removal benefit data of the target equipment, and judge whether the total carbon removal benefit of the target equipment is qualified based on the carbon removal benefit data of the target equipment and the total carbon removal benefit consumption.

[0053] The technical scheme of the embodiment of the application, by first obtaining the carbon emission data, processing data, production data and material removal data of the target part, then calculating the total carbon emission C of the target part based on the carbon emission data of the target part, calculating the processing benefit B of the target part based on the processing data of the target part, calculating the production cycle T of the target part according to the production data, and calculating the material removal rate M of the target part according to the material removal data, then calculating the carbon removal benefit of the target part according to the total carbon emission C, the processing benefit B, the production cycle T and the material removal rate M of the target part, then obtaining the total number of target parts in the target equipment and the carbon removal benefit matched with each target part, and superimposing the carbon removal benefits of each target part to obtain the total carbon removal benefit of the target equipment, finally obtaining the carbon removal benefit data of the target equipment, and judging whether the total carbon removal benefit of the target equipment is qualified based on the carbon removal benefit data of the target equipment and the total carbon removal benefit consumption, realizing the calculation of the carbon removal benefit of the target equipment, improving the accuracy of the calculation of the carbon removal benefit of the part and the accuracy of the carbon removal benefit result obtained by calculation.

[0054] Specific implementation scenario

[0055] In order to more clearly express the technical scheme provided by the embodiment of the application, this embodiment will briefly introduce a specific implementation scenario obtained according to the embodiment.

[0056] Take the target part as an example, the plane tail rib web of the aircraft, as one of the longitudinal skeleton components, mainly with the skin to bear the wing torque, also often as a weak support to increase the stability and lateral stiffness of the web. In a certain type of aircraft tail component, the rib web is shown in the figure, which is mainly composed of several frames, lightening holes and other features. The part is made of 7075 aluminum plate, the blank size is 76.20mmx1100mmx340mm, and the material removal amount of the part is 96.76%,

[0057] 【1】Total carbon emissions C calculation.

[0058] 1) Material carbon emissions CE G ;

[0059] (a) Raw material carbon emissions;

[0060] The density of 7075 aluminum alloy is 2700 kg / m3, and the carbon emission factor of the produced aluminum alloy is 16.13 kgCO2e / kg, so the carbon emissions of raw material consumption are:

[0061] CE stock =M stock ×Ce stock =ρ Al ×V stock ×CEF ce

[0062] =2700x0.0762x1.1x0.34x16.13=1241.15kgCO2e;

[0063] (b) Tool carbon emissions;

[0064] The rib web processing process involves 3 workstations, a total of 13 tools, and the tool material is mainly high-speed steel and hard alloy. Here, take one tool as an example to calculate its carbon emissions, and the carbon emissions of other tools are calculated in the same way. The carbon emission factor of tool production C etool，product Take 29.6 kgCO2e / kg, the carbon emission coefficient of tool grinding C etool，regrinding Take 15.6 kgC02e / kg, and the tool mass mtool is 120g. The tool life depends on the cutting parameter setting in the machining process. The tool life Ttool in the machining process of this part is 180min, and the actual use time of this tool is 45min. According to the actual use, the tool life has not been reached, and the tool grinding has not been carried out. Therefore, the carbon emissions generated by the tool during the machining process are:

[0065]

[0066] (c) Cutting fluid carbon emissions;

[0067] The cutting fluid used in the machining process is a water-soluble liquid cutting fluid, and the carbon emission factor C efluid is 0.978 kgCO2e / L. The replacement period of the cutting fluid is 168 h, and the initial cutting fluid volume V fluid，original is 300 L, and the cutting fluid volume V fluid，added added later is 100 L. Under the given tool cutting parameters, the cutting machining time of the part is 16.85 h, and the total carbon emission of the cutting fluid consumption is:

[0068]

[0069] The total material carbon emission CE G generated in the entire cutting machining process is:

[0070] CE G = CE stock + CE tool + CE fluid

[0071] = 1241.15 + 0.888 + 16.85 = 1258.88 kgCO2e;

[0072] 2) Energy carbon emission CE E ;

[0073] In the process of rib web machining, the energy consumption of machine tool operation and external auxiliary machining equipment is included in the energy carbon, and the electrical energy consumed in the machining process of the part is obtained by separately adding an energy consumption metering device on the machine tool, i.e. the fixed energy consumption of the machine tool, the variable energy consumption of spindle acceleration and deceleration, the cutting energy consumption, and the auxiliary energy consumption of auxiliary machine tool equipment operation such as cooling device driving energy consumption, tool changing device driving energy consumption, and clamping device driving energy consumption, E machine The numerical value is 1196.81 kW·h, the auxiliary equipment energy consumption E other is 65 kW·h, the local power grid carbon emission factor Ce electricity is 0.5703 kgCO2e / (kW·h), and the energy carbon emission CE E is:

[0074] CE E = CE machine + CE public = (E machine + E other ) × Ce electricity

[0075] = (1196.81 + 65) × 0.5703 = 719.61 kgCO2e;

[0076] 3) Process carbon efficiency CEP ;

[0077] In the process carbon, the carbon emissions generated by the treatment of waste cutting, scrap tool, and waste cutting fluid are mainly calculated. In the process of rib web machining, the material removal is 27575.44 cm3. The carbon emission coefficient C echip，disposal of the treatment of waste cutting of aluminum alloy is 0.29064 kgCO2e / kg; the carbon emission coefficient C edfluid of the treatment of waste cutting fluid is 0.2 kgCO2e / L. The cutting fluid circulation rate η is 0.85, so the process carbon emission is:

[0078]

[0079] According to the formula C = CE G + CE R + CE P , the total carbon emission C of the target part is calculated as:

[0080] C = CE G + CE R + CE P

[0081] = 1258.88 + 719.61 + 27.65 = 2006.14 kgCO2e.

[0082] 【2】Production cycle T calculation.

[0083] The cutting processing time T MACHAIN in the process of rib web machining is 16.85 h, the labor clamping and dismounting time, i.e. the labor usage time T LABOR is 1.5 h, and the tool replacement time T C is 0.5 h. Therefore, the processing cycle of the part is:

[0084] T = T MACHAIN + T LABOR + T C

[0085] = 16.85 + 1.5 + 0.5 = 18.85 h.

[0086] 【3】Processing benefit B calculation.

[0087] The calculation method of benefit is income minus cost. The selling price of the part after mechanical machining of the rib web is about 20458.95 yuan. In the cost calculation, the labor cost, raw material cost, tooling cost, tool cost, and cutting fluid cost are included.

[0088] In the calculation process of labor cost, the labor time and equipment time cost are considered. In the process of rib web machining, the labor usage time TLABOR Total 18.35h, labor usage hour rate C LABOR is 80 yuan / h, processing equipment hour rate C MACHAIN is 600 yuan / h. Then equipment cost B MACHAIN is the sum of labor cost B LABOR and equipment cost B Time :

[0089]

[0090] Raw material cost B ST0CK in the process of rib web processing, the unit price Y STOCK of 7075 aluminum alloy is 45 yuan / kg, the raw material blank weight M STOCK is 76.95 kg, then raw material cost B STOCK :

[0091] B STOCK = Y STOCK × M STOCK

[0092] = 45 × 76.95 = 3462.75 (yuan);

[0093] Tooling cost B T0 is calculated by the method of apportioning the equivalent annual use cost of tooling to individual parts. In the process of rib web processing, vacuum adsorption tooling is used for fixing processing, and the equivalent annual use cost of vacuum adsorption tooling is 60000 yuan, tooling investment annual return rate m, tooling service life n and annual use hours, tooling use time T T0 are calculated, the above parameters are 0.2, 5 years, 400h, 10.85h respectively, then tooling use cost B T0 :

[0094]

[0095] Tool cost B TOOL Take the tool use cost as an example, the tool cutting time TM is 45 min, its service life T L is 180 min, and no tool regrinding is performed. The tool procurement cost Y T is 800 yuan, and the tool replacement time is 15 min. Here it is assumed that the tool replacement equipment hour rate and the tool replacement labor hour rate are the same, then the tool replacement cost is:

[0096]

[0097] Cutting fluid cost B fluid In the calculation, the cutting fluid unit price Y FLUIDis 15 yuan / L, and the recycling rate of the cutting fluid is 85%. According to the calculation of the carbon emission of the cutting fluid, the cost of the cutting fluid in the machining process is:

[0098]

[0099] According to the above cost analysis, it can be concluded that the machining benefit B obtained by the rib web part in the machining process is:

[0100] B = B S -B O = 20458.95-3462.75-11578-544-3.96-90.27 = 5323.97 (yuan).

[0101] 【4】Carbon removal benefit calculation.

[0102] In the machining process of the rib web part, the material removal volume is about 27358.848 cm3, the carbon emission is about 2006.14 kgCO2e, and the benefit obtained is about 5327.92 yuan. Therefore, the carbon removal benefit of the material is:

[0103]

[0104] Example Three

[0105] Figure 3 A structure schematic diagram of a carbon removal benefit calculation device for a part provided in Example Three of the present application. As shown in Figure 3 , the device comprises:

[0106] A data acquisition module 310 is configured to acquire carbon emission data, machining data, production data, and material removal data of a target part.

[0107] A data calculation module 320 is configured to calculate a total carbon emission C of the target part based on the carbon emission data of the target part, calculate a machining benefit B of the target part based on the machining data of the target part, calculate a production cycle T of the target part based on the production data, and calculate a material removal rate M of the target part based on the material removal data.

[0108] A carbon removal benefit acquisition module 330 is configured to calculate a carbon removal benefit of the target part based on the total carbon emission C, the machining benefit B, the production cycle T, and the material removal rate M of the target part.

[0109] The technical scheme of the embodiment of the present application first acquires carbon emission data, machining data, production data and material removal data of a target part, then calculates total carbon emission C of the target part based on the carbon emission data, calculates machining benefit B of the target part based on the machining data, calculates production cycle T of the target part according to the production data, and calculates material removal rate M of the target part according to the material removal data, and finally calculates removal carbon benefit of the target part according to the total carbon emission C, the machining benefit B, the production cycle T and the material removal rate M of the target part, so that the calculation of the removal carbon benefit of the part is realized, and the accuracy of the removal carbon benefit calculation of the part and the accuracy of the calculated removal carbon benefit result are improved.

[0110] On the basis of the above embodiment, the data calculation module 320 comprises:

[0111] The first calculation unit is configured to acquire the raw material carbon emission factor CEF in the carbon emission data ce , the blank material mass M stock , the cutting time T cutting , the cutting fluid replacement cycle T0, the initial cutting fluid volume V fluid,original , the cutting fluid volume V supplemented each time fluid,added , the cutting fluid production carbon emission coefficient Ce fluid , the tool discard time T tool , the tool regrinding times n tool , the tool production carbon emission coefficient Ce tool,product , the tool grinding carbon emission coefficient Ce tool,regrinding , and the tool mass m tool , and calculate the material carbon emission CE of the target part according to the formula G ;

[0112] The second calculation unit is configured to acquire the machining power function P i (t) of the i-th device in the carbon emission data, the basic energy consumption power P steady,i of the i-th device, the auxiliary device power P j , the total machining time T all , the local power grid carbon emission factor Ce electricity , the total number n of machining devices used in the machining process, the number m of auxiliary devices used in the machining process, the initial time t0 of use of the i-th device, the end time t1 of use of the i-th device, and the total time t of use of the i-th device all,i , and calculate the material carbon emission CE of the target part according to the formula

[0113] ​The energy carbon emission CE of the target part is calculated E ;

[0114] The third calculation unit is configured to obtain the total material removal volume MRV in the carbon emission data total , the material density p material , the abandoned cutting chip treatment carbon emission coefficient Ce chip,disposal , the abandoned tool mass m dtool , the abandoned tool treatment carbon emission coefficient Ce tool,disposal , the cutting fluid recovery rate η, and the abandoned cutting fluid treatment carbon emission coefficient Ce dfluid According to the formula The process carbon efficiency CE of the target part is calculated P ;

[0115] The carbon emission total amount calculation unit is configured to calculate the total carbon emission C of the target part according to the formula C = CE G + CE R + CE P .

[0116] On the basis of the above embodiment, the data calculation module 320 further comprises:

[0117] The fourth calculation unit is configured to obtain the i-th equipment usage hour rate C MACHAIN,i and the i-th equipment cutting processing time T MACHAIN,i in the processing data, and calculate the equipment cost B MACHAIN of the target part according to the formula ;

[0118] The fifth calculation unit is configured to obtain the labor usage hour rate C LABOR and the labor usage time T LABOR in the processing data, and calculate the labor cost B LABOR of the target part according to the formula B LABOR = C LABOR × T LABOR ;

[0119] The sixth calculation unit is configured to obtain the raw material unit price Y STOCK and the raw material weight M STOCK in the processing data, and calculate the raw material cost B STOCK of the target part according to the formula B STOCK = Y STOCK × M STOCK ;

[0120] The seventh calculation unit is configured to obtain the i-th tooling usage hour rate C TO,i , the i-th tooling usage time TTO,i , the initial procurement cost of the i-th tool IC i i , the annual return rate of the i-th tool investment m i , the total number of tools n, the service life of the i-th tool n i , and the annual use hours of the i-th tool t y,i , the tool cost B of the target part is calculated according to the formula TO ;

[0121] The eighth calculation unit is configured to obtain the i-th tool cutting time T in the machining data M,i , the i-th tool life T L,i , the i-th tool regrinding times n tool,i , the total number of tools n, the i-th tool cost Y T,i , the tool changing equipment hourly rate C T,change , the tool changing labor hourly rate C T,labo r, and the i-th tool replacement time T C,i , the tool cost B of the target part is calculated according to the formula TOOL ;

[0122] The ninth calculation unit is configured to obtain the cutting time T in the machining data cutting , the cutting fluid replacement cycle T0, the initial cutting fluid volume V fluid,original , the cutting fluid volume V replenished each time fluid,added , and the cutting fluid unit price Y FLUID , the cutting fluid cost B of the target part is calculated according to the formula fluid ;

[0123] The machining cost calculation unit is configured to calculate the machining cost B of the target part according to the formula B o = B MACHAIN + B LABOR + B STOCK + B TO + B TOOL + B FLUID ; O ;

[0124] The machining benefit calculation unit is configured to obtain the target selling price B of the target part in the machining data S , the machining benefit B of the target part is calculated according to the formula B = B S - B O .

[0125] ​​​​On the basis of the above-mentioned embodiments, the data calculation module 320 is further configured to acquire the cutting machining time T MACHAIN , the labor force usage time T LABOR , and the tool replacement time T C , and calculate the production cycle T of the target part according to the formula T = T MACHAIN + T LABOR + T C .

[0126] On the basis of the above-mentioned embodiments, the data calculation module 320 is further configured to acquire the material volume change amount AV and the unit cutting time At in the material removal data, and calculate the material removal rate M of the target part according to the formula .

[0127] On the basis of the above-mentioned embodiments, the removal carbon benefit acquisition module 330 is further configured to calculate the removal carbon benefit C B of the target part according to the formula η .

[0128] On the basis of the above-mentioned embodiments, the removal carbon benefit acquisition module 330 is further configured to, after calculating the removal carbon benefit of the target part, acquire the total number of target parts in the target equipment and the removal carbon benefits matched with each target part, superimpose the removal carbon benefits of each target part to obtain the total removal carbon benefit of the target equipment, acquire the removal carbon benefit data of the target equipment, and determine whether the total removal carbon benefit of the target equipment is qualified based on the removal carbon benefit data and the total removal carbon benefit consumption of the target equipment.

[0129] The removal carbon benefit calculation device for a part provided in the embodiments of the present application can execute the removal carbon benefit calculation method for a part provided in any of the embodiments of the present application, and has the function modules and beneficial effects corresponding to the execution method.

[0130] Embodiment Four

[0131] 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.

[0132] 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 is communicatively connected to 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 perform 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.

[0133] Various 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, etc.; an output unit 17, such as various types of displays, a loudspeaker, etc.; a storage unit 18, such as a magnetic disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. 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.

[0134] The processor 11 can be various general-purpose 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, etc. The processor 11 performs various methods and processes described above, such as a carbon removal benefit calculation method for a part.

[0135] Correspondingly, the method includes:

[0136] obtaining carbon emission data, machining data, production data, and material removal data of a target part;

[0137] calculating a total carbon emission C of the target part based on the carbon emission data of the target part, calculating a machining benefit B of the target part based on the machining data of the target part, calculating a production cycle T of the target part according to the production data, and calculating a material removal rate M of the target part according to the material removal data;

[0138] calculating a carbon removal benefit of the target part according to the total carbon emission C, the machining benefit B, the production cycle T, and the material removal rate M of the target part.

[0139] In some embodiments, a part's carbon removal benefit calculation method can be implemented as a computer program tangibly embodied in a computer readable storage medium, e.g., storage unit 18. In some embodiments, parts or all of the computer program can be loaded onto electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded onto RAM 13 and executed by processor 11, one or more steps of a part's carbon removal benefit calculation method described above can be performed. Alternatively, in other embodiments, processor 11 can be configured to perform a part's carbon removal benefit calculation method by any other suitable means, e.g., by way of firmware.

[0140] Various implementations of the systems and techniques described above can be realized 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 programmable logic device (PLD), a computer hardware, firmware, software, and / or combinations thereof. These various implementations 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.

[0141] 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 to produce a machine, such that the computer program, when executed, implements the functions / acts specified in the flowcharts and / or block diagrams. The computer program can be executed entirely on a machine, partially on a machine, partially on a machine as a stand-alone software package, partially on a machine and partially on a remote machine or entirely on a remote machine or server.

[0142] In the context of the present invention, computer-readable storage media can be tangible media that can contain or store a computer program for use with an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. Computer-readable storage media can include but are not limited to electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, computer-readable storage media can be machine-readable signal media. More specific examples of machine-readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0143] 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).

[0144] 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.

[0145] The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system, to solve the defects of large management difficulty and weak business scalability in traditional physical host and VPS service.

[0146] It should be understood that the various forms of flow shown above can be used to reorder, add or delete steps. For example, each step described in the present application can be executed in parallel, sequentially or in a different order, as long as the desired results of the technical solutions of the present application can be achieved, which is not limited herein.

Claims

1. A method for calculating the carbon removal benefit of a part, characterized in that: include: Obtain carbon emission data, processing data, production data, and material removal data of target parts; The total carbon emission C of the target part is calculated based on the carbon emission data of the target part, the processing benefit B of the target part is calculated based on the processing data of the target part, the production cycle T of the target part is calculated based on the production data, and the material removal rate M of the target part is calculated based on the material removal data; The carbon removal benefit of the target part is calculated based on the total carbon emission C, processing benefit B, production cycle T and material removal rate M of the target part.

2. The method according to claim 1, characterized in that The total carbon emission C of the target part is calculated based on the carbon emission data of the target part, including: Obtain the raw material carbon emission factor CEF from carbon emission data ce , blank material quality M stock , cutting time T cutting , cutting fluid replacement cycle T0, initial cutting fluid volume V fluid,original , cutting fluid volume V added each time fluid,added , Carbon emission coefficient of cutting fluid production Ce fluid , Tool scrapping time T tool , tool regrinding times n tool , Carbon emission coefficient of tool production Ce tool,product , Tool grinding carbon emission coefficient Ce tool,regrinding And the tool mass m tool , according to the formula Calculate the material carbon emissions CE of the target part G ; Obtain the processing power function P of the i-th equipment in the carbon emission data i (t), the basic energy consumption power P of the i-th device steady,i , auxiliary equipment power P j , total processing time T all , local power grid carbon emission factor Ce electricity , the total number of processing equipment used in the processing process n, the number of auxiliary equipment used in the processing process m, the initial time t0 of the use of the i-th equipment, the end time t1 of the use of the i-th equipment, and the total time t all,i , according to the formula Calculate the energy carbon emission CE of the target part E ; Obtaining the total material removal volume (MRV) from carbon emission data total , material density ρ material , Carbon emission coefficient of waste chip treatment Ce chip,disposal , waste tool mass m dtool , Carbon emission coefficient of waste tool treatment Ce tool,disposal , cutting fluid recovery rate η, waste cutting fluid treatment carbon emission coefficient Ce dfluid , according to the formula Calculate the process carbon efficiency CE of the target part P ; According to the formula C=CE G +CE R +CE P The total carbon emission C of the target part is calculated.

3. The method according to claim 1, characterized in that The processing benefit B of the target part is calculated based on the processing data of the target part, including: Get the hourly rate C of the i-th equipment in the processing data MACHAIN,i And the cutting time T of the i-th equipment MACHAIN,i , according to the formula Calculate the equipment cost B of the target part MACHAIN ; Get the labor hourly rate C in the processing data LABOR and labor use time T LABOR , according to formula B LABOR =C LABOR ×T LABOR Calculate the labor cost B of the target part LABOR ; Get the raw material unit price Y in the processing data STOCK And the raw material weight M STOCK , according to formula B STOCK =Y STOCK ×M STOCK Calculate the raw material cost B of the target part STOCK ; Get the hourly rate C of the i-th tool in the processing data TO,i 、The usage time of the i-th tool is T TO,i 、Equivalent annual cost of tooling UAC i , initial purchase cost IC of tooling part i i 、Annual return rate of investment in tooling for part i m i , the total number of tooling n, the useful life of the i-th tooling n i and the annual usage hours t of the i-th tool y,i , according to the formula Calculate the tooling cost B of the target part T0 ; Get the cutting time T of the i-th tool in the processing data M，i 、The life of the i-th knife T L，i , the number of times the i-th knife is re-sharpened n tool，i , the total number of tools n, the cost of the i-th tool Y T，i , Tool Changing Equipment Hourly Rate C T，change , Tool changing labor hourly rate C T，labo r and the i-th knife replacement time T C，i , according to the formula Calculate the tool cost B of the target part TOOL ; Get the cutting time T in the processing data cutting , cutting fluid replacement cycle T0, initial cutting fluid volume V iluid，original , cutting fluid volume V added each time fluid，added And the cutting fluid unit price Y FLUID , based on the formula Calculate the cutting fluid cost B of the target part fluid ; According to formula B o =B MACHAIN +B LABO R+B STOCH +B TO +B TOOL +B FLUID Calculate the processing cost B of the target part O ; Get the target selling price B of the target part in the processing data S , according to the formula B=B S -B O The processing benefit B of the target part is calculated.

4. The method according to claim 1, wherein Calculating the production cycle T of the target part according to the production data includes: Get the cutting time T from the production data MACHAIN , Labor force usage time T LABOR And tool change time T C , according to the formula T=T MACHAIN +T LABOR +T C The production cycle T of the target part is calculated.

5. The method according to claim 1, wherein Calculating the material removal rate M of the target part according to the material removal data includes: Obtain the material volume change per unit time ΔV and unit cutting time Δt from the material removal data, and calculate according to the formula Get the material removal rate M of the target part.

6. The method according to claim 1, characterized in that The carbon removal benefit of the target part is calculated based on the total carbon emissions C, processing benefit B, production cycle T, and material removal rate M of the target part, including: According to the formula Calculate the carbon removal benefit C of the target part η B.

7. The method according to claim 1, characterized in that After calculating the carbon removal benefit of the target part, the following steps are also included: Obtaining the total number of target parts in the target equipment and the carbon removal benefits matching each target part; Superimposing the carbon removal benefits of each target part to obtain the total carbon removal benefit of the target equipment; Carbon removal benefit data of a target device is obtained, and whether the total carbon removal benefit of the target device is qualified is determined based on the carbon removal benefit data of the target device and the total carbon removal benefit consumption.

8. A device for calculating the carbon removal benefit of a part, characterized in that: include: A data acquisition module is used to obtain carbon emission data, processing data, production data, and material removal data of target parts; a data calculation module, configured to calculate a total carbon emission C of the target part based on the carbon emission data of the target part, calculate a processing benefit B of the target part based on the processing data of the target part, calculate a production cycle T of the target part based on the production data, and calculate a material removal rate M of the target part based on the material removal data; The carbon removal benefit acquisition module is used to calculate the carbon removal benefit of the target part based on the total carbon emission C, processing benefit B, production cycle T and material removal rate M of the target part.

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. The computer program is executed by the at least one processor to enable the at least one processor to perform the method for calculating carbon removal benefits of a part 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 removal benefits of a part according to any one of claims 1 to 7 when executed.

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