Method and apparatus for calculating carbon emissions from equipment, and computer device

Abstract

Disclosed in the present application are a method and apparatus for calculating carbon emissions from equipment, and a computer device and a storage medium. The method comprises: providing a utility and auxiliary facility model, an equipment model and a connection line model; by means of the connection line model, connecting the utility and auxiliary facility model and the equipment model; adding operating parameters to the models, and associating the models with a carbon emission database; and on the basis of the carbon emission database, calculating carbon emissions from equipment. In this way, a connection line model and an equipment model can be flexibly established, the connection line model is decoupled from the equipment model, and carbon emissions from an equipment group are rapidly calculated; moreover, the method enables adaptive adjustments for different scenarios, and has a wide range of application.

Description

Method, device, and computer equipment for calculating carbon emissions of equipment Technical Field

[0001] The present application relates to the field of energy, and in particular, to a method, apparatus, computer equipment, and storage medium for measuring carbon emissions of equipment. Background Art

[0002] Currently, the rapid and accurate simulation and calculation of carbon emissions during production processes is crucial for the following reasons: Accurately calculating carbon emissions during product production helps businesses and organizations understand the environmental impact of their production activities. Through simulation, key sources of carbon emissions can be identified and appropriate reduction strategies developed, thereby achieving carbon emissions management and control. In short, rapid and accurate simulation methods for calculating carbon emissions during production processes are crucial for environmental management, corporate sustainability, and sustainable finance. They can help businesses quantify carbon emissions, identify improvement opportunities, and promote low-carbon and sustainable production practices.

[0003] Summary of the Invention

[0004] This summary is provided to introduce some selected concepts in a simplified form, which will be further described in the detailed description below. This summary is not intended to identify any key features or essential features of the claimed subject matter, nor is it intended to be used to help determine the scope of the claimed subject matter.

[0005] Based on this, the present application discloses a method for calculating the carbon emissions of equipment, which includes: providing a public utility model, an equipment model and a connecting line model; connecting the public utility model and the equipment model through the connecting line model; adding operating parameters to the model and associating it with a carbon emissions database; and calculating the carbon emissions of the equipment based on the carbon emissions database.

[0006] Through the above method, the public utility model, connection line model and equipment model can be flexibly established, the public utility model, connection line model and equipment model can be decoupled, and the carbon emissions of the equipment group can be quickly calculated. The method can be adaptively adjusted for different scenarios and has a wide range of applications.

[0007] Furthermore, the operating parameters include inherent parameters and process parameters. Adding operating parameters to the model specifically includes:

[0008] Adding utility metering values ​​to the utility model;

[0009] Intrinsic parameters and process parameters are added to the equipment model.

[0010] Through this approach, different parameter settings can be made for public utilities and equipment to match their actual energy consumption. Adding inherent and process parameters to the equipment model further aligns with the equipment's actual production conditions, allowing for more flexible adjustment of equipment energy consumption and, consequently, more accurate calculation of subsequent carbon emissions.

[0011] Furthermore, providing a public utility model, an equipment model, and a connection line model includes:

[0012] Import existing public auxiliary facilities models, existing equipment models, and existing connection line models through JSON or XML format; or

[0013] Add or modify modules in existing public auxiliary facilities models, existing equipment models and existing connection line models to establish public auxiliary facilities models, equipment models and connection line models; or

[0014] By importing simplified general parameters, public utility model, equipment model and connection line model are established.

[0015] Through the above methods, the corresponding models can be flexibly established. These three methods are designed to improve modeling efficiency and flexibility to meet the needs of different users.

[0016] Furthermore, adding operating parameters to the model further includes: adding connecting line parameters to the connecting line model.

[0017] In this way, the loss of the connecting line can also be taken into account, which can more accurately calculate the carbon emissions and improve the accuracy of the simulation.

[0018] Furthermore, the carbon emissions of the equipment are calculated based on the carbon emissions database, including calculating the carbon emissions of the equipment based on the product of the carbon emission factor in the carbon emissions database and the energy consumption obtained by the operating parameters of the model.

[0019] Through the above method, the carbon emissions of different equipment can be accurately calculated.

[0020] In addition, one embodiment of the present application discloses an optimization system for equipment carbon emissions, which includes: a model providing module for providing a public utility model, an equipment model and a connecting line model; a model connection module for connecting the public utility model and the equipment model through a connecting line model; a parameter adding module for adding operating parameters to the model and associating it with a carbon emission database; and a calculation module for calculating the carbon emissions of the equipment based on the carbon emission database.

[0021] Furthermore, an embodiment of the present application discloses a system for optimizing carbon emissions of equipment, which includes a model providing module, a model connection module, a parameter adding module and a calculation module, wherein the carbon emission database adopts a distributed layout and is remotely communicated with the optimization system.

[0022] The present application also provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and wherein the processor implements the above method when executing the computer program.

[0023] The present application also provides a computer-readable storage medium having a computer program stored thereon, and the computer program implements the above method when executed by a processor.

[0024] The present application also provides a computer program product, which is tangibly stored on a computer-readable medium and includes computer-executable instructions. When the computer-executable instructions are executed, the computer-executable instructions cause at least one processor to perform the method described above. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Implementations of the present disclosure are illustrated by way of example and not limitation in the figures of the accompanying drawings in which like references indicate the same or similar parts.

[0026] FIG1 is a schematic diagram of a public utility model, an equipment model, and a connection line model according to an embodiment of the present application.

[0027] FIG2 is a schematic diagram of a process of a method for calculating carbon emissions of equipment according to an embodiment of the present application.

[0028] FIG3 is a schematic diagram of a system for optimizing equipment carbon emissions according to an embodiment of the present application.

[0029] FIG4 is a schematic diagram of a computer device for calculating carbon emissions of the device according to an embodiment of the present application.

[0030] FIG5 is a schematic diagram of a distributed deployment of a device carbon emission optimization system and a carbon emission database according to an embodiment of the present application.

[0031] The reference numerals are as follows: 101: Public utility model 102: Equipment model 103: Connection line model S201-S204 Step 300: Apparatus 301: Module 302: Module 303: Module 304: Module 400: Computer device 402: Processor 404: Memory 505: Carbon emission database DETAILED DESCRIPTION

[0032] In the following description, for the purpose of explanation, a large number of specific details are set forth. However, it is understood that the present invention can be implemented without these specific details. In other examples, well-known circuits, structures, and technologies are not shown in detail so as not to affect the understanding of the description.

[0033] References throughout this specification to "an implementation," "an implementation," "an exemplary implementation," "some implementations," "various implementations," etc., indicate that the implementations of the invention being described may include particular features, structures, or characteristics. However, it does not imply that every implementation must include those particular features, structures, or characteristics. Furthermore, some implementations may have some, all, or none of the features described for other implementations.

[0034] Figure 1 exemplarily shows a factory scene according to the present invention. As shown in Figure 1 , 101 represents public utilities, 102 represents equipment, and 103 represents connection lines.

[0035] First, public utilities refer to essential infrastructure and infrastructure, such as electrical systems, power grids, transformers, air conditioning compressors, chillers, and water lines, used to build factories, plants, and equipment rooms. These infrastructure consumes a certain amount of resources and generates a fixed amount of energy.

[0036] Secondly, the connecting line refers to the line connecting the public auxiliary facilities and equipment, which can be understood as the actual passage used to connect the equipment as well as the cable line, water line, air conditioning pipe line, etc.

[0037] In some embodiments, the utilities and the connecting lines may be collectively referred to as supply lines, and accordingly, the utilities model and the connecting line model may be collectively referred to as supply line models. In other words, the supply line includes utilities and the connecting lines, and the supply line model includes the utilities model and the connecting line model.

[0038] In some embodiments, the construction of the supply line model includes creating a supply object to capture the consumption of all energy or materials by the equipment, such as gas, water, electricity, heat, compressed air, etc. The supply line can be a virtual abstract line without parameters, for example, a simple connecting line; the supply line can also be a system composed of various components such as compressors, pumps, valves, etc., that is, it includes two parts: public utilities and connecting lines. The purpose of establishing a supply line model is to unify the management and modeling of energy and material consumption, and to promote the calculation and optimization of carbon emissions. The supply line model composed of a public utilities model and a connecting line model needs to accommodate both general and special equipment to ensure that it is suitable for different types of production environments. The supply of supply lines facilitates the centralized management of equipment consumption, and carbon consumption can be quickly calculated through the configured emission factors. The calculation results are clear and easy to analyze and compare.

[0039] In some embodiments, the supply line may include basic electrical lines such as busbars, and may also include other lines such as sub-lines. Specifically, common default supply line types include the following: cooling system bus, power supply system bus, electric supply system bus, gas supply system bus, dust removal system bus, fresh air system bus, heating system bus, air conditioning and refrigeration system bus, air conditioning heating system bus, cutting fluid supply system bus, and lighting system bus. Each supply line may include several public utilities and several connecting lines.

[0040] Then, equipment refers to the facilities and equipment in the production process, used for production and manufacturing, such as lathes, cache machines, track changers, placement machines and other equipment, which need to consume corresponding energy to work and further produce carbon emissions.

[0041] Furthermore, operating parameters refer to parameters required for equipment operation, including inherent parameters and process parameters.

[0042] Furthermore, for the equipment model, not only the inherent parameters of the basic operation of the equipment are added or input, but also the process parameters of the equipment operation need to be input.

[0043] Intrinsic parameters are usually obtained from nameplate parameters and remain fixed. Process parameters reflect the relevant parameters required for the equipment to complete production under the production task at a specific moment. The process parameters are dynamic and determined according to production needs or production arrangements. When the production task is large, the process parameters may be the maximum process parameters, and when the production task is small, the process parameters may be the minimum process parameters. The process parameters may include different gears, which are set for different needs. These process parameters are used to simulate carbon consumption in the product manufacturing process. This way of distinguishing between inherent parameters and process parameters can take into account both the characteristics of the equipment itself and the impact of different processes on carbon emissions.

[0044] One implementation scenario of this application involves modeling equipment, utilities, and connecting lines. The equipment model and the utilities model are then connected using the connecting line model according to actual connections. Corresponding parameters or measurement values ​​are then written into the corresponding models, and the overall carbon emissions are calculated based on these parameters or measurement values ​​using a carbon emissions database. This method is flexible and can be reused or adjusted to suit actual conditions, thereby providing decision-making and support for factory production arrangements.

[0045] Based on this, as shown in FIG2 , one embodiment of the present application discloses a method for calculating carbon emissions of equipment, which includes:

[0046] S201: Provide a public utility model, an equipment model, and a connection line model. The public utility model, the equipment model, and the connection line model can be established or provided by a preset existing model.

[0047] To calculate carbon emissions, a model of utility facilities is first required. Because utility facilities support equipment operation and consume energy and generate carbon emissions, in some embodiments, a model of these facilities is required. In subsequent carbon emissions calculations, these facilities' carbon emissions must be included in the overall carbon emissions.

[0048] Secondly, it provides equipment modeling. The equipment model is a model that abstracts and extracts the energy consumption parameters of the equipment, which is used to add the operating parameters of the corresponding equipment later and apply them to the carbon emission calculation.

[0049] Furthermore, the lines themselves also have certain energy losses, and the actual line connection process also requires setting connection parameters. Therefore, a connection line model can be provided. This way, during the carbon emission process, the energy losses caused by these connection parameters can also be calculated in the overall carbon emission calculation.

[0050] Furthermore, providing a public utility model, an equipment model, and a connection line model includes:

[0051] Import existing public auxiliary facilities models, existing equipment models, and existing connection line models through JSON or XML format; or

[0052] Add or modify modules in existing public auxiliary facilities models, existing equipment models and existing connection line models to establish public auxiliary facilities models, equipment models and connection line models; or

[0053] By importing simplified general parameters, public utility model, equipment model and connection line model are established.

[0054] Specifically, the first method imports a mechanism model in JSON or XML format and quickly builds a model according to a predefined format. This method is suitable for situations where a mechanism model already exists and a quick system setup is required. The second method adds a model using an existing template, reducing modeling time and effort. The third method allows for the import of simplified common parameters for devices and power buses, streamlining the modeling process.

[0055] Through the above methods, the corresponding models can be flexibly established. These three methods are designed to improve modeling efficiency and flexibility to meet the needs of different users.

[0056] S202: Connect the public auxiliary facility model and the equipment model through a connecting line model.

[0057] Furthermore, according to the actual connection situation in reality, the public utility model and the equipment model are connected through the connecting line model. Specifically, the interfaces between the public utility model and the equipment model can be unified and connected and debugged according to the actual connection situation. Not only the connection between the public utility model and the connecting line model is established, but also the connection between the equipment model and the connecting line model is established, so as to simulate or replicate the actual connection situation between real equipment, form the entire simulation system, and form a path between the equipment and public utility.

[0058] Through the above methods, various production situations can be simulated completely and flexibly, thereby building an accurate model for subsequent carbon emissions calculations.

[0059] S203: adding operating parameters to the model and associating it with a carbon emission database.

[0060] Specifically, for the utility model, actual measurement values ​​can be input. These measurement values ​​are the basic values ​​required to ensure the operation of the utility. These values ​​also represent the basic conditions of the utility's normal operation and have a one-to-one correspondence with the utility's normal carbon emissions.

[0061] Secondly, the operating parameters are input into the equipment model, including inherent parameters and process parameters, so as to restore the actual operating conditions of the equipment during the production process.

[0062] After adding the above parameters or measurement values, the utility model, equipment model and connection line model are associated with the carbon emission database to prepare for the database to obtain the carbon emission factor of the corresponding model.

[0063] Specifically, the association means that since the carbon emission database contains different and corresponding carbon emission factors for different types of public utilities, equipment, and connecting lines, the equipment carbon emission optimization system matches and searches for different public utilities models, equipment models, and connecting line models in the carbon emission database, thereby obtaining the carbon emission factors of the corresponding public utilities, equipment, and connecting lines in the carbon emission database; the carbon emission factors will be used in subsequent carbon emission calculations.

[0064] Through this approach, different parameter settings can be made for public utilities and equipment to match their actual energy consumption. Adding inherent and process parameters to the equipment model further aligns with the equipment's actual production conditions, allowing for more flexible adjustment of equipment energy consumption and, consequently, more accurate calculation of subsequent carbon emissions.

[0065] In some embodiments, further, adding operating parameters to the model further includes: adding connecting line parameters to the connecting line model.

[0066] Through the above implementation, the loss of the connecting line can also be taken into account, so that the carbon emissions can be calculated more accurately in the future, thereby improving the accuracy of the simulation.

[0067] S204: Calculate the carbon emissions of the device based on the carbon emissions database.

[0068] Specifically, the equipment carbon emissions optimization system can calculate the corresponding carbon emissions based on the carbon emissions database, the utility model, the equipment model, and the connection line model established above. As mentioned above, the interconnection between the equipment model, the utility model, and the connection line model constitutes a comprehensive simulation of the production process.

[0069] In some embodiments, the carbon emission database stores carbon emission factors for different equipment or energy types. Calculating the carbon emissions of the equipment involves converting the parameters of the utility facilities, equipment models, and connection line models into corresponding energy consumption, and then multiplying the energy consumption by the carbon emission factors for the different energy consumptions from the carbon emission database. For example, taking power-consuming facilities such as substations and machine tools as an example, the equipment carbon emission optimization system can calculate the hourly power consumption of the substation and machine tools in kilowatt-hours (kWh) using the metered values ​​of the substation, the fixed parameters of the machine tools, and the process parameters. The equipment carbon emission optimization system then searches the carbon emission factors for the corresponding substations and machine tools in the carbon emission database, or uses the unified carbon emission factors for power consumption, and multiplies these carbon emission factors by the hourly power consumption to obtain the carbon emissions of power-consuming facilities such as substations and machine tools. In some embodiments, the units of the carbon emission factors for power consumption can be kilograms of carbon dioxide equivalent per kilowatt-hour (kg CO2-eq / kWh). The final calculated carbon emissions are in kilograms of carbon dioxide equivalent (kg CO2-eq).

[0070] Similarly, for public utilities or equipment such as natural gas energy consumption, the optimization system for equipment carbon emissions can also calculate the natural gas energy consumption of the public utilities and equipment per unit time through the measurement values ​​of the public utilities model and the fixed parameters and process parameters of the equipment model, in Nm 3 Then, according to the corresponding public utility type or equipment type, the equipment carbon emission optimization system finds the carbon emission factor of the corresponding public utility type and equipment type in the carbon emission database, or finds the unified carbon emission factor of natural gas energy consumption, and multiplies the carbon emission factor by the natural gas energy consumption per unit time to calculate the carbon emissions. In some embodiments, the unit of the carbon emission factor of natural gas energy consumption can be kilograms of carbon dioxide equivalent per cubic meter (kg CO2-eq / Nm 3 ). The unit of the carbon emissions finally calculated is also kilograms of carbon dioxide equivalent (kg CO2-eq). The implementing entities of the above processes are all equipment carbon emissions optimization systems. In summary, through the measurement values ​​of the public auxiliary facilities model in the above-established public auxiliary facilities model, equipment model and connecting line model, the fixed parameters and process parameters of the equipment model, and the connection parameters of the connecting line model, the equipment carbon emissions optimization system calculates the carbon emissions of the entire system based on the corresponding carbon emission factors in the carbon emission database. Thus, the equipment carbon emissions optimization system simulates the carbon emissions under different production conditions and provides data support for production tasks and production management.

[0071] In some embodiments, in order to achieve the calculation and optimization of carbon emissions, a carbon emissions database can be established in advance. The carbon emissions database can also be called an emission factor database. The emission factor database collects and organizes emission factor data corresponding to the energy and material consumption related to the supply line. These data are used to provide coefficient factors between various types of energy consumption and carbon dioxide emissions. By importing these data into the emission factor database in batches, the equipment carbon emissions optimization system can calculate the carbon emissions of the corresponding facilities or energy consumption based on the energy consumption of the equipment and supply lines. In some embodiments, the establishment and importing of the emission factor database is intended to improve the accuracy and automation of the equipment carbon emissions optimization system in carbon emissions calculation. The use of this modeling method and the carbon emissions database provides automatic calculation capabilities for the equipment carbon emissions optimization system.

[0072] In general, the equipment carbon emissions optimization system can model the public utility model, the connection line model and the equipment model separately, and set different parameters or measurement values ​​for different models, so that the calculated carbon emissions are more precise and accurate. In the later stage, the parameters of different models can be adjusted separately, and different scenarios can be adaptively simulated, which has a wide range of applications.

[0073] As described above, the method for calculating equipment carbon emissions disclosed in this application can quickly and accurately calculate carbon emissions during product production, allowing factories without metering equipment to self-monitor their carbon emissions. This method for calculating equipment carbon emissions is highly flexible and scalable, as the analysis can be performed on equipment, products, or workshops. The scope of a supply line is unrestricted: a series of equipment can constitute a production line, multiple production lines can constitute a workshop, and multiple workshops can constitute an entire factory.

[0074] These innovative approaches enable the establishment of a model-based carbon emissions optimization system that accurately calculates carbon emissions during product production and enables self-monitoring of carbon emissions within the factory. The interconnectedness between equipment and supply line models provides a comprehensive simulation of the production process. The modeling approach and emission factor database provide modeling flexibility and the system's automated calculation capabilities. This system will help factories effectively manage and reduce carbon emissions, contributing to environmental protection and sustainable development.

[0075] Furthermore, the following lists the inherent parameters and process parameters of a lathe equipment as an example, as well as the list of supply lines required for the lathe; and the inherent parameter table and process parameter table of general common equipment.

[0076] Table 1. Fixed parameters of lathe equipment

[0077] Table 2. Process parameter table of lathe equipment

[0078] Table 3. List of supply lines involved in lathe equipment

[0079] Table 4. Fixed parameters of common equipment

[0080] Table 5. Process parameters of common equipment

[0081] It should be understood that, although the various steps in the flowchart of FIG2 are shown in sequence as indicated by the arrows, these steps are not necessarily performed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be performed in other orders. Moreover, at least a portion of the steps in FIG2 may include multiple steps or multiple stages, and these steps or stages are not necessarily performed at the same time, but can be performed at different times. The execution order of these steps or stages is not necessarily to be performed in sequence, but can be performed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0082] As shown in FIG3 , one embodiment of the present application discloses a system 300 for optimizing equipment carbon emissions. The system 300 includes:

[0083] The model providing module 301 is used to establish a public utility model, an equipment model and a connection line model;

[0084] A model connection module 302 is used to connect the public auxiliary facility model and the equipment model through a connection line model;

[0085] A parameter adding module 303 is used to add operating parameters to the model and associate it with the carbon emission database;

[0086] The calculation module 304 is configured to calculate the carbon emissions of the device using the carbon emissions database.

[0087] The optimization system can be a stand-alone device, such as a complete machine, connected to the internet. The optimization system can be deployed in a factory and connected to the factory's network. The optimization system can run as a software system on the stand-alone machine. Furthermore, the model provision module, model linking module, parameter addition module, and calculation module are all visual software operation modules. The operator first uses the model provision module to establish the utility model, equipment model, and connection line model. Then, the operator selects the model connection model and connects the utility model to the associated equipment model via the connection line model. The operator then selects the parameter addition module to add operating parameters to the model and associates it with a carbon emissions database. Finally, the operator selects the calculation module and has it calculate the carbon emissions of the equipment using the carbon emission factors provided by the carbon emissions database. The carbon emissions database can be integrated into the stand-alone device and periodically updated via the internet, or the carbon emissions database can be a cloud-based database, with the optimization system communicating and exchanging data with the carbon emissions database via the network.

[0088] Furthermore, the parameter adding module 303 is further configured to: add utility metering values ​​to the utility model; and add inherent parameters and process parameters to the equipment model.

[0089] Furthermore, the model providing module 301 is also used to: introduce existing public utility model, existing equipment model and existing connection line model through Json or XML format; add or modify modules in existing public utility model, existing equipment model and existing connection line model to establish public utility model, equipment model and connection line model; establish public utility model, equipment model and connection line model by importing simplified general parameters.

[0090] Furthermore, the parameter adding module 303 is further configured to add connection line parameters to the connection line model.

[0091] Furthermore, as shown in FIG5 , an embodiment of the present application discloses a system 300 for optimizing carbon emissions of equipment, which includes a model providing module 301, a model connection module 302, a parameter adding module 303, and a calculation module 304, wherein the carbon emission database 505 and the optimization system are arranged in a distributed manner, or the carbon emission database 505 and the optimization system are remotely communicated with each other.

[0092] In some embodiments, the carbon emissions database is embedded in the equipment carbon emissions optimization system. Specifically, the carbon emissions optimization system located in a factory includes the carbon emissions database, meaning that the carbon emissions calculation can be performed locally. In some other embodiments, the carbon emissions database can be independent of the equipment carbon emissions optimization system and deployed separately in the cloud or in a distributed manner, thereby enabling remote communication between the optimization system and the carbon emissions database.

[0093] It should be noted that the apparatus may include more or fewer modules to implement the described functionality. For example, at least one module in FIG. 2 may be further divided into a plurality of different submodules, each of which is configured to perform at least a portion of the operations described herein in conjunction with the corresponding module. Furthermore, in some examples, apparatus 200 may further include additional modules for performing other operations already described in the specification. Furthermore, those skilled in the art will appreciate that exemplary apparatus 300 may be implemented using software, hardware, firmware, or any combination thereof.

[0094] As shown in Figure 4, an embodiment of the present application provides a computer device, wherein the computer device 400 may include a processor 402, which executes a computer program stored in a memory 404. When the computer program is executed by the processor, the above method is implemented.

[0095] In some embodiments, the method, apparatus, and computer device also have a positive impact on the following aspects.

[0096] Environmental Assessment and Improvement: Modeling and accurately calculating carbon emissions during product production allows for a comprehensive assessment of environmental impact. Companies can use this data to evaluate the environmental performance of their products and identify potential improvement opportunities. By reducing carbon emissions, companies can mitigate their impact on climate change, improve resource efficiency, and minimize adverse environmental impacts.

[0097] Sustainability Guide: Accurately modeling and calculating carbon emissions can provide guidance for businesses and organizations to achieve their sustainability goals. By understanding the carbon emissions from product production, companies can optimize their supply chains, production processes, and energy use, thereby reducing their environmental footprint and promoting environmental and sustainable development practices.

[0098] Carbon emissions disclosure and certification: An increasing number of companies and organizations are incorporating carbon emissions into their sustainability reporting and disclosure mechanisms. By modeling and accurately calculating carbon emissions from product production, companies can provide precise data to demonstrate their environmental responsibility and sustainability efforts to stakeholders. Furthermore, some certification standards and programs require companies to provide carbon emissions data to assess their sustainability performance.

[0099] Those skilled in the art will understand that the structure shown in Figure 3 is merely a block diagram of a portion of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0100] Those skilled in the art will appreciate that all or part of the processes in the methods for implementing the above-mentioned embodiments can be accomplished by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include processes for the implementation of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the various embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0101] An embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon, and the computer program implements the above steps when executed by a processor.

[0102] An embodiment of the present application further provides a computer program product, which is tangibly stored on a computer-readable medium and includes computer-executable instructions. When the computer-executable instructions are executed, at least one processor is enabled to perform the above method.

[0103] Furthermore, the computer program can be stored and run in the cloud to perform the method. Furthermore, the components of the program can be deployed on multiple devices and the cloud. For example, the corresponding steps can be deployed and run on a local or local computer, or run on different cloud devices, and transmit signals through a communication connection, or can also be deployed and run on a local or local computer. This application does not limit the manner or method, and the corresponding technology can be flexibly deployed to make full use of equipment and technologies such as the cloud, big data, and supercomputing capabilities to execute and complete the method.

[0104] Some implementations of the present disclosure may include articles of manufacture. Articles of manufacture may include storage media for storing logic. Examples of storage media may include one or more types of computer-readable storage media capable of storing electronic data, including volatile or non-volatile memory, removable or non-removable memory, erasable or non-erasable memory, writable or rewritable memory, and the like. Examples of logic may include various software units, such as software components, programs, applications, computer programs, application programs, system programs, machine programs, operating system software, middleware, firmware, software modules, routines, subroutines, functions, methods, processes, software interfaces, application program interfaces (APIs), instruction sets, computing codes, computer codes, code segments, computer code segments, words, values, symbols, or any combination thereof. In some implementations, for example, articles of manufacture may store executable computer program instructions that, when executed by a processor, cause the processor to perform the methods and / or operations described herein. Executable computer program instructions may include any suitable type of code, such as source code, compiled code, interpreted code, executable code, static code, dynamic code, and the like. Executable computer program instructions can be implemented according to a predefined computer language, method or syntax for commanding a computer to perform a specific function. The instructions can be implemented using any appropriate high-level, low-level, object-oriented, visual, compiled and / or interpreted programming language.

[0105] What has been described above includes examples of the disclosed architecture. It is, of course, not possible to describe every conceivable combination of components and / or methodologies, but those skilled in the art will appreciate that many other combinations and permutations are possible. Therefore, the novel architecture is intended to embrace all such alternatives, modifications, and variations that fall within the spirit and scope of the appended claims.

Claims

1. A method for calculating carbon emissions of equipment, wherein: include: Provide public utility facility models, equipment models and connection line models; Connecting the public auxiliary facility model and the equipment model through a connecting line model; Adding operating parameters to the model and associating it with a carbon emissions database; The carbon emissions of the equipment are calculated based on the carbon emissions database.

2. The method according to claim 1, wherein the operating parameters include inherent parameters and process parameters, wherein: Adding operating parameters to the model includes: Adding utility metering values ​​to the utility model; Intrinsic parameters and process parameters are added to the equipment model.

3. The method according to claim 1 or 2, wherein: Provides public utility facility models, equipment models, and connection line models, including: Import existing public auxiliary facilities models, existing equipment models, and existing connection line models through JSON or XML format; or Add or modify modules in existing public auxiliary facilities models, existing equipment models and existing connection line models to establish public auxiliary facilities models, equipment models and connection line models; or By importing simplified general parameters, public utility model, equipment model and connection line model are established.

4. The method according to any one of claims 1 to 3, wherein: Adding operating parameters to the model also includes: Adding connection line parameters to the connection line model.

5. The method according to any one of claims 1 to 4, wherein: Calculating the carbon emissions of the equipment based on the carbon emissions database, include, The carbon emissions of the equipment are calculated based on the product of the carbon emission factor in the carbon emission database and the energy consumption obtained by the operating parameters of the model.

6. A system (300) for optimizing carbon emissions of equipment, wherein: include: A model providing module (301) is used to provide a public auxiliary facility model, an equipment model and a connection line model; A model connection module (302) is used to connect the public auxiliary facility model and the equipment model through a connection line model; A parameter adding module (303) is used to add operating parameters to the model and associate it with the carbon emission database; A calculation module (304) is used to calculate the carbon emissions of the equipment based on the carbon emissions database.

7. A system (300) for optimizing carbon emissions of equipment, wherein: It comprises a model providing module (301), a model connection module (302), a parameter adding module (303) and a calculation module (304) as described in claim 6, wherein the carbon emission database (505) adopts a distributed deployment and is remotely communicated with the optimization system (300).

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 5 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, wherein: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

10. A computer program product tangibly stored on a computer-readable medium and comprising computer-executable instructions which, when executed, cause at least one processor to perform the method according to any one of claims 1 to 5.

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