Carbon footprint accounting system and method based on carbon footprint measurement test digital equipment

Abstract

The invention discloses a carbon footprint accounting system and method based on carbon footprint measurement test digital equipment, and the system comprises a material recognition module which is used for recognizing the material information of green energy equipment to obtain material information recognition data; the code scanning module is used for performing data scanning identification on the KKS code and the material code carried by the green energy equipment to obtain code scanning identification data; the carbon footprint accounting module is used for performing data matching on the material information identification data and an element database of the green energy equipment so as to calculate first carbon emission data of the green energy equipment according to a matching result of carbon emission factors and obtain second carbon emission data based on the code scanning identification data; and the information interaction module is used for visualizing the material information identification data and the code scanning identification data, and displaying a carbon footprint accounting result corresponding to the first carbon emission data and the second carbon emission data on a page. According to the method, the carbon emission generated in the production process can be effectively and rapidly calculated.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon footprint measurement equipment, and in particular to a carbon footprint calculation system and method based on carbon footprint measurement and testing digital equipment. Background Art

[0002] With the introduction of the "dual carbon" goal, strict requirements have been put forward for carbon emissions in the energy sector. Low-carbon, zero-carbon and even negative carbon emissions are goals that need to be gradually achieved in the new energy field. In the process of energy development, it is necessary to monitor and manage the carbon emissions of energy equipment in real time. The carbon emissions of energy equipment involve carbon dioxide consumption in various links of the industrial chain such as material preparation, production and manufacturing, transportation, construction, service and use, and decommissioning and disposal. Therefore, the carbon emissions of energy equipment throughout its life cycle must be considered.

[0003] At present, most of the research on carbon emissions of green energy equipment at home and abroad is concentrated on the carbon dioxide consumption in a certain link of the whole life cycle. At the same time, for the carbon emission data in different links, many manufacturers have not formed complete, comprehensive and traceable carbon emission measurement methods and related carbon emission data, resulting in the carbon emission data values ​​in different links of the industrial chain are different from the actual values. Therefore, it is necessary to develop on-site monitoring and collection technologies and systems for carbon emissions of equipment in the production, transportation, use and disposal stages, and form a set of key measurement and testing digital equipment. More accurate carbon emission data can be obtained through on-site collection, data transmission and precise calculation, so as to provide certain support for the goal of achieving low-carbon, zero-carbon and even negative carbon emissions in the energy field. Summary of the invention

[0004] The present invention aims to solve one of the technical problems in the related art at least to a certain extent.

[0005] To this end, the present invention proposes a carbon footprint accounting system based on carbon footprint measurement and testing digital equipment, which can flexibly cut into the entire life cycle of green energy equipment such as wind power, photovoltaics, and hydropower or any node, and collect and calculate the primary and secondary energy emissions related to its carbon emissions in real time during its carbon footprint process.

[0006] Another object of the present invention is to provide a carbon footprint calculation method based on carbon footprint measurement and testing digital equipment.

[0007] To achieve the above-mentioned purpose, the present invention proposes, on one hand, a carbon footprint calculation system based on carbon footprint measurement and testing digital equipment, comprising:

[0008] A material identification module is used to identify the material information of green energy equipment to obtain material information identification data;

[0009] The coding scanning module is used to scan and identify the KKS code and material code carried by the green energy equipment to obtain coding scanning identification data;

[0010] A carbon footprint calculation module, used for performing data matching between the material information identification data and the element database of green energy equipment, so as to calculate the first carbon emission data of the green energy equipment according to the matching result of the carbon emission factor, and to obtain the second carbon emission data based on the coded scanning identification data;

[0011] An information interaction module is used to visualize the material information identification data and the code scanning identification data, and to display the carbon footprint calculation results corresponding to the first carbon emission data and the second carbon emission data on a page.

[0012] The carbon footprint calculation system based on the carbon footprint measurement and testing digital equipment of the embodiment of the present invention may also have the following additional technical features:

[0013] In one embodiment of the present invention, after the carbon footprint calculation module, a measured data calculation module is also included, which is used to:

[0014] Calculate the first carbon emission data of the first type of green energy equipment to obtain the measured carbon emission data, and calculate the measured average carbon emission data of the green energy equipment:

[0015] E1n=∑ i Q i *C is

[0016] E1a=(E1+E2+…En) / N

[0017] Among them, E1n is the nth measured carbon emission data of the first green energy equipment, Q i is the mass data of the measured equipment components, C is is the standard carbon emission factor of the equipment components, N is the number of material analyses, and E1a is the measured average carbon emission data of the first type of green energy equipment.

[0018] In one embodiment of the present invention, the measured data calculation module is further used to:

[0019] The second carbon emission data obtained based on scanning and identification is standard carbon emission data of green energy equipment;

[0020] Calculating an actual carbon emission data correction coefficient based on the standard carbon emission data and the measured average carbon emission data;

[0021] The carbon emission data of the system including various green energy equipment is calculated according to the carbon emission data correction coefficient.

[0022] In one embodiment of the present invention, the carbon emission data correction coefficient and the system carbon emission data are calculated by the following formulas:

[0023] K1=E1a / E1s

[0024] E=∑ i E ia =∑ i E is *K i

[0025] Among them, K1 is the carbon emission data correction coefficient of the first type of green energy equipment, E1s is the standard carbon emission data of green energy equipment, E is the overall carbon emission data of the system, Eia is the measured average carbon emission data of the i-th green energy equipment, Eis is the standard carbon emission data of the i-th green energy equipment, and Ki is the carbon emission data correction coefficient of the i-th green energy equipment.

[0026] In one embodiment of the present invention, the material identification module includes at least an excitation source, a detector and a camera; the material identification module is also used to use LIBs technology to identify the material information identification data of green energy equipment; wherein the material information identification data includes at least the equipment element composition, content and equipment attribute information.

[0027] In one embodiment of the present invention, the material identification module is further used to:

[0028] The high-energy laser is irradiated on the sample of the green energy equipment through the excitation source, and a laser spot is formed on the surface of the sample to excite the sample to emit light;

[0029] The sample excitation luminescence is analyzed by the spectral system and monitoring system to obtain the elemental composition and content of the sample.

[0030] In one embodiment of the present invention, the coding scanning module includes a barcode scanning configuration definition unit, a handheld barcode collection application unit and a collection log query unit; based on the coding rules corresponding to the KKS coding and the material coding, the corresponding decoding method is configured; the barcode scanning configuration definition unit is used to perform barcode scanning configuration for two business scenarios of KKS coding and material coding, including: setting configuration type, order generation target type, source order type, handheld application name, handheld function name, scanning and parsing order, actions after scanning and parsing, scanning interface display information and business type mapping.

[0031] In one embodiment of the present invention, the handheld terminal barcode collection application unit is used to:

[0032] Scan the code through the scanning port. If the code self-parses successfully, the system will automatically match the source document type and the target type. If the barcode self-parses fails, the preset target type and source document type are used to parse and generate the target document and the reference relationship information of the document. When a code parsing request is received, the code composition is parsed through the code parsing service, and the code parsing result is obtained in combination with the data in the code file, and returned to the caller to complete the code parsing operation.

[0033] In one embodiment of the present invention, the carbon footprint calculation module is further used to:

[0034] Obtaining code scanning identification data through the ERP system, wherein the code scanning identification data includes material information related to the material coding;

[0035] Calculate the target raw material list and its corresponding quality based on the coded scan identification data and the preset equipment attribute information;

[0036] The second carbon emission data of the green energy equipment is calculated based on the raw material list of the target and the matching results of its corresponding quality and emission factor database.

[0037] To achieve the above-mentioned purpose, the present invention further proposes a carbon footprint calculation method based on carbon footprint measurement and testing digital equipment, comprising:

[0038] Identify the material information of green energy equipment to obtain material information identification data;

[0039] Scan and identify the KKS code and material code carried by the green energy equipment to obtain code scanning and identification data;

[0040] Performing data matching on the material information identification data and the element database of the green energy equipment, so as to calculate and obtain first carbon emission data of the green energy equipment according to the matching result of the carbon emission factor, and to obtain second carbon emission data based on the coded scanning identification data;

[0041] The carbon footprint calculation results corresponding to the first carbon emission data and the second carbon emission data are obtained according to the visualization results of the material information identification data and the coded scanning identification data.

[0042] The carbon footprint accounting system and method based on carbon footprint measurement and testing digital equipment in the embodiment of the present invention can detect the raw material materials of green energy equipment and calculate the carbon emissions generated in its production process through the system's calculation model. While determining the carbon emission boundary of green energy equipment, it can quickly and dynamically accurately target the carbon dioxide emissions of various industries and enterprises in the entire life cycle of carbon footprint activities, and perform data collection, tracking calculation and management.

[0043] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0045] Figure 1 is a structural diagram of a carbon footprint calculation system based on carbon footprint measurement and testing digital equipment according to an embodiment of the present invention;

[0046] Figure 2 is a flow chart of a code recognition process according to an embodiment of the present invention;

[0047] Figure 3 is a material identification flow chart according to an embodiment of the present invention;

[0048] Figure 4 is a flowchart of a material recognition scenario according to an embodiment of the present invention;

[0049] Figure 5 is a coding scanning flow chart according to an embodiment of the present invention;

[0050] Figure 6 is another encoding scanning flow chart according to an embodiment of the present invention;

[0051] Figure 7 is a flowchart of a coding recognition scenario according to an embodiment of the present invention;

[0052] Figure 8 is a diagram of a device screen interface according to an embodiment of the present invention;

[0053] Fig. 9 is a result display interface diagram according to an embodiment of the present invention;

[0054] Fig.10 It is a flow chart of a carbon footprint calculation method based on carbon footprint measurement and testing digital equipment according to an embodiment of the present invention. DETAILED DESCRIPTION

[0055] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0056] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0057] The following describes a carbon footprint calculation system and method based on carbon footprint measurement and testing of digital equipment according to an embodiment of the present invention with reference to the accompanying drawings.

[0058] Figure 1 It is a structural diagram of a carbon footprint accounting system based on carbon footprint measurement and testing digital equipment according to an embodiment of the present invention.

[0059] like Figure 1 As shown, the system includes a material identification module 100 , a code scanning module 200 , a carbon footprint calculation module 300 and an information interaction module 400 .

[0060] The material identification module 100 is used to identify the material information of the green energy equipment to obtain material information identification data;

[0061] The code scanning module 200 is used to scan and identify the KKS code and material code carried by the green energy equipment to obtain code scanning identification data;

[0062] The carbon footprint calculation module 300 is used to perform data matching between the material information identification data and the element database of the green energy equipment, so as to calculate the first carbon emission data of the green energy equipment according to the matching result of the carbon emission factor, and to obtain the second carbon emission data based on the code scanning identification data;

[0063] The information interaction module 400 is used to visualize the material information identification data and the code scanning identification data, and to display the carbon footprint calculation results corresponding to the first carbon emission data and the second carbon emission data on the page.

[0064] In one embodiment of the present invention, the material identification module 100 is a core component of the carbon footprint measurement and testing digital equipment, which is used for material analysis and carbon emission accounting based on LIBS technology. The material identification module 100 includes an excitation source, a detector, a camera, and the like.

[0065] In one embodiment of the present invention, after the carbon footprint calculation module, a measured data calculation module is also included, which is used to: calculate the first carbon emission data of the first green energy equipment to obtain the measured carbon emission data, and calculate the measured average carbon emission data of the green energy equipment:

[0066] E1n=Σi Q i *C is

[0067] E1a = (E1 + E2 + … En) / N

[0068] Wherein, E1n is the nth measured carbon emission data of the first type of green energy equipment, Q i is the measured mass data of the equipment component elements, C is is the standard carbon emission factor of the equipment component elements, N is the number of material analysis times, and E1a is the measured average carbon emission data of the first type of green energy equipment.

[0069] In an embodiment of the present invention, the measured data calculation module is further configured to: based on the second carbon emission data obtained by scanning and identifying, obtain the standard carbon emission data of the green energy equipment; calculate the actual carbon emission data correction coefficient according to the standard carbon emission data and the measured average carbon emission data; calculate the system carbon emission data including multiple types of green energy equipment according to the carbon emission data correction coefficient.

[0070] In an embodiment of the present invention, the carbon emission data correction coefficient and the system carbon emission data are respectively calculated by the following formulas:

[0071] K1 = E1a / E1s

[0072] E = ∑ i E ia = ∑ i E iS *K i

[0073] Wherein, K1 is the carbon emission data correction coefficient of the first type of green energy equipment. If K1 = 1, it is considered that the carbon emission data of the equipment is correct. If 0 < K1 < 1, it can be preliminarily determined that there is a deviation in the standard carbon emission data corresponding to the equipment, and it is recommended to take the measured average carbon emission data of the device as the standard. If K1 > 1, the measured average carbon emission data is verified. E1s is the standard carbon emission data of the green energy equipment, E is the overall system carbon emission data, E ia is the measured average carbon emission data of the ith type of green energy equipment, E is is the standard carbon emission data of the ith type of green energy equipment, K i is the carbon emission data correction coefficient of the ith type of green energy equipment.

[0074] Through the above steps, the confirmation and revision of the true carbon emission data and the change coefficient of the equipment are completed, and the carbon emission data can be calculated more efficiently and accurately, reducing resource waste and improving social productivity.

[0075] It is understandable that the material identification function is mainly used to collect data on the material components of an object.

[0076] Specifically, the carbon footprint measurement and testing digital equipment uses LIBS technology to identify, classify, qualitatively and quantitatively analyze the materials of objects composed of alloys / carbon steel and other materials. It is suitable for the detection of light elements such as C, Li and Si. The system applies high-energy laser to the sample, forming a laser spot (plasma) on the surface of the sample to excite the sample to emit light. The light is then analyzed by the spectral system and the monitoring system to obtain the elemental composition and content of the sample.

[0077] In one embodiment of the present invention, the code recognition function of the code scanning module 200 is mainly to realize data collection and recognition of the KKS code and material code of the green energy equipment and link other related information management systems. It mainly includes barcode scanning configuration definition and handheld terminal barcode collection application, collection log query and other functional services. The system administrator defines and allocates barcode scanning configuration in the system, and the system business post user scans the collection barcode on the handheld terminal and handles daily business, and can also query the collection log.

[0078] like Figure 2 As shown, KKS coding and material coding have corresponding coding rules, and the corresponding decoding methods need to be configured in advance. The barcode scanning configuration definition function mainly configures the two business scenarios of barcode scanning KKS coding and material coding, including setting configuration type, target type of order generation, source order type, handheld terminal application name, handheld terminal function name, scanning and parsing order, scanning and parsing post-action, scanning interface display information, business type mapping and other information, so as to complete the configuration of specific barcode scanning scenarios.

[0079] The hydropower plant identification system (KKS) is divided into five levels to identify the equipment installation location. The first level is the plant code level; the second level is the unit / workshop / area level, the third level is the system level, the fourth level is the equipment level, and the fifth level is the component level. It is composed of 21 fixed-length numbers or letters, including: plant code (4 digits), unit (2 digits), power generation system (5 digits), equipment (5 digits), and components (5 digits).

[0080] The wind farm identification system (KKS) is divided into four levels to identify wind farm equipment and structures. The first level is the site code level; the second level is the plant code level; the third level is the system code level; and the fourth level is the equipment code level.

[0081] The photovoltaic power station identification system (KKS) is divided into 4 levels to identify the equipment installation location, with a total of 19 digits, including site code, plant code, system level code, and equipment level code.

[0082] In one embodiment of the present invention, the barcode collection function is operated by a business operator holding a carbon footprint measurement test digital device. The user scans the code through the scanning port. If the code can be self-parsed, the system automatically matches the source document type and the target type. If the barcode self-parse fails, the user manually specifies the target type and the source document type. Then the system parses and generates the target document and the reference relationship information of the document according to the user settings, and automatically records the scan log. The code parsing service provides the code collection management module with a parsing service for the code data. When receiving a code parsing request, the code parsing service first parses the code structure, and then combines the data in the code file to obtain the code parsing result, and returns it to the caller to complete the code parsing operation.

[0083] The carbon footprint accounting module 300 in the embodiment of the present invention has a carbon footprint accounting function that mainly realizes the calculation of the product carbon footprint of the target item. The calculation of the product carbon footprint is to sum the activity level data involving materials, energy and waste for all activities in the entire product life cycle multiplied by their emission factors within the system boundary. The product life cycle is decomposed, the carbon emission sources of each segment are analyzed, and the same sources in different stages are merged to obtain a quantitative model of the product carbon footprint. Since there are two ways to collect data and the collected data sources are different, the present invention defines this function separately in the two scenarios of material analysis and code scanning.

[0084] In one embodiment of the present invention, based on material recognition, the composition data of the object can be obtained based on the material recognition function. Since the data source is relatively single, the carbon footprint calculated in this scenario only considers the carbon emissions contained in the production and manufacturing stage of the target object, and does not consider its transportation, energy consumption and waste.

[0085] like Figure 3 As shown, the calculation of carbon footprint needs to be clear about the raw materials. The chemical elements and their contents contained in the target object can be obtained by using LIBs technology. In order to confirm the raw materials, the carbon footprint measurement and testing digital equipment will embed a database containing the raw materials and element ratios contained in common green energy equipment, and map them with the main elements of the collected items. However, due to the errors in the results of material analysis in the data source, the manually entered attribute values ​​may be derived from estimates, and there are also large errors in the raw material list and corresponding content matched by elements, which makes it difficult to guarantee the accuracy of the carbon footprint results calculated by this method.

[0086] Specifically, Figure 4As shown, the main material is identified to calculate the carbon footprint, and the carbon footprint of any object is calculated, which is applicable to all inorganic objects. Identify the main material of the object, and calculate the carbon footprint of the object in combination with the manually added relevant parameters. In this scenario, the workflow of the device is to collect the material composition and content data of the object through the material detection transmitter, manually enter the weight and volume parameters of the object, obtain the carbon emission factor of the corresponding material in the carbon emission factor database in the background, and calculate its carbon footprint, which is displayed in the UI interface.

[0087] In one embodiment of the present invention, Figure 5 As shown, based on the code scanning, the green energy equipment in the electric field will have a unique identification symbolizing its identity: KKS code, material code. In the green energy equipment carbon footprint assessment system, each piece of carbon emission data also has its corresponding code ID. By mapping the KKS code and material code with the carbon footprint ID, the carbon footprint information of the green energy equipment in the green energy equipment carbon footprint assessment system can be obtained by scanning the KKS code and material code index.

[0088] It is understandable that, considering that the implementation of the green energy equipment carbon footprint assessment system will have incomplete coverage within a certain period, there will be equipment in the power field that has not been calculated by the green energy equipment carbon footprint assessment system. However, based on the material coding, linked to the ERP system, relevant material information can be obtained, such as Figure 6 As shown. Combined with the manually supplemented attribute values, the raw material list of the accounting target and its corresponding mass can be obtained. Then match the embedded emission factor database, and the carbon footprint of the green energy equipment can be obtained through the accounting model. Similar to the material analysis scenario, the carbon footprint calculated in this scenario only considers the carbon emissions contained in the production and manufacturing stage of the target object, without considering its transportation, energy consumption and waste. The accuracy of the carbon footprint obtained by the sequential method depends on the completeness and accuracy of the BOM table in the ERP system.

[0089] Specifically, the carbon footprint calculation by identification code is to calculate the carbon footprint of green energy equipment through identification code and index, which is applicable to green energy equipment with KKS code or material code. Figure 7 shown.

[0090] Among them, for equipment that has been calculated by the green energy equipment carbon footprint assessment system, scan the KKS code or material code configured on the green energy equipment, link the green energy equipment carbon footprint assessment system, obtain and display its carbon footprint information on the UI interface. The workflow is to scan the code through the image recognition port, obtain carbon emission data in the background, and display it on the UI interface.

[0091] Among them, for equipment that has not been calculated by the green energy equipment carbon footprint assessment system, the activity level data in the associated information management system (such as the ERP system) is obtained through the KKS code or material code, combined with the manually entered supplementary parameters, matching the relevant carbon emission factors, calculating its carbon footprint, and displaying it on the UI interface. The workflow is to scan the code through the image recognition port, obtain the relevant data in other systems in the background, display it on the UI interface, manually supplement the missing data, obtain the carbon emission factor of the corresponding material in the carbon emission factor database in the background, calculate its carbon footprint, and display it on the UI interface.

[0092] It is understandable that the coding rules are in 1999. The Massachusetts Institute of Technology established the Auto-ID Center to conduct RFID technology research and development. By creating RFID standards and using network technology, the EPC system was formed. EPC unified the coding method for global items until it was coded to a single item. The EPC system is based on the computer Internet (Internet) and uses RFID, EPC coding, data communication and other technologies to construct a physical Internet covering everything in the world, also known as the Internet of Things.

[0093] It is understandable that, based on RFID and the Internet, the physical Internet can establish information connections for a larger number of objects, providing advanced information management concepts and means for industries and users such as commerce, logistics, warehousing, production, and households. The transponder is loaded with an EPC code, which should be attached to the object, also known as a tag (hereinafter referred to as an EPC tag or in this invention). The reader is used to read or write EPC tags and can be connected to the local network. Savant is software that connects the reader and the application, also known as middleware. It is the core technology in the Internet of Things and can be considered as the nervous system of the network, so it is called Savant. The function of the Object Name Resolution Service (ONS) is similar to the Domain Name Resolution Service (DNS) in the Internet. It indicates to Savant the server (EPCIS) that stores product-related information. The EPC information description in the system adopts the Entity Markup Language (PML).

[0094] It is understandable that currently, EPC codes are available in 64-bit, 96-bit and 256-bit. EPC codes consist of four fields: version number, domain name management, object classification and serial number. The version number field identifies the EPC version number, which gives the length of the EPC code; the domain name management field identifies the relevant manufacturer information; the object classification field encodes the precise type of the item; and the serial number is used to encode a unique item. Therefore, EPC codes are unique, simple, scalable and secure. As shown in Table 1:

[0095] Table 1

[0096]

[0097] The only information stored in an EPC tag is the EPC code. Tags are usually passive tags, and their air interface uses the EPC air interface or ISO / IEC 18000 standard, which has 5 functional levels: Class 0, Class 1, Class 2, Class 3, and Class 4. Class describes the basic functions of the tag, such as the memory inside it or the presence or absence of a battery. Gen refers to the major version number of the tag specification. What is commonly referred to as the second generation of EPC is actually the second generation of EPC Class 1, which indicates that it is the second major version of the specification for tags with write-once memory. The purpose of EPC Class is to provide a modular structure that covers a wide range of possible types of tag functions. EPC Gen 2 is an open, multi-protocol, developing standard.

[0098] Furthermore, after the carbon footprint measurement and testing digital equipment is turned on, the information interaction module 400 will display two function entrances: material identification and code scanning. Figure 8 shown.

[0099] Furthermore, after completing the material identification, the interface will display the analysis results, such as Fig. 9 shown.

[0100] Furthermore, after scanning the material code, the interface displays the BOM information.

[0101] Further, confirm the result information, click to jump to the carbon footprint calculation, and the interface will display the calculation results. As shown in Table 2:

[0102] Table 2

[0103]

[0104] In the workflow of the carbon footprint measurement and testing digital equipment of the embodiment of the present invention, the main information input is the supplementary entry of the data source required for carbon footprint calculation. It is mainly reflected in the material analysis scenario. After completing the material identification, the operator needs to manually enter the name, weight, and volume of the target object. Therefore, the carbon footprint measurement and testing digital equipment can meet the character input of numbers, English, Chinese, and common symbols.

[0105] In summary, the present invention can flexibly cut in from any node in the whole life cycle, detect the material of green equipment from the source, and calculate the carbon emissions generated by its component raw materials according to the standards and calculation methods. And it can link the green energy equipment carbon footprint evaluation system by identifying the KKS code or material code, accurately target the carbon dioxide emissions in the fixed assets of various green energy industries and enterprises throughout the life cycle, and quickly and dynamically monitor and calculate their carbon emissions throughout the life cycle in real time. .

[0106] The carbon footprint measurement and testing digital equipment of the present invention is used to conduct qualitative and quantitative analysis of the material composition elements of green energy equipment, and combined with the embedded key raw material database, the carbon emissions contained in the raw material production and manufacturing process of its components are obtained. It breaks through the limitations of space and network environment and realizes real-time carbon footprint measurement outdoors or even out of the network environment. In addition, the collected information and calculation results can be compared with the carbon footprint of the production and manufacturing stage in the green energy equipment carbon footprint evaluation system, providing supplementary data basis for the evaluation system.

[0107] KKS coding and material coding serve as the information foundation of the green energy industry. Using test digital equipment as a medium, linking existing coding with carbon footprint ID, it is possible to monitor the carbon footprint of green equipment at any time on site throughout its life cycle. And the device only needs to identify the existing coding to obtain data information in the carbon footprint evaluation system of green energy equipment, eliminating the huge workload of additional coding.

[0108] The carbon footprint accounting system based on the carbon footprint measurement and testing digital equipment of the embodiment of the present invention can detect the raw materials of green equipment to identify key information such as material component content, model, weight, etc., and based on the built-in carbon emission factor and other related data, it can simultaneously realize the calculation of carbon emission data, and can transmit the data results to the cloud edge platform for dynamic display. The measurement and testing digital equipment supports the manual addition of new green energy equipment models and parameters, and has a programmable interface to access relevant on-site data, and can quickly transmit the models and parameters of relevant new green energy equipment to the carbon footprint cloud edge platform. On the basis of determining the scope and boundaries of carbon emissions, the collection, dynamic transmission, and data display required for carbon footprint calculation are realized.

[0109] In order to implement the above embodiment, Fig.10 As shown, this embodiment also provides a carbon footprint calculation method based on carbon footprint measurement and testing digital equipment, the method comprising:

[0110] S1, identifying the material information of green energy equipment to obtain material information identification data;

[0111] S2, scanning and identifying the KKS code and material code carried by the green energy equipment to obtain code scanning and identification data;

[0112] S3, performing data matching on the material information identification data and the element database of the green energy equipment, so as to calculate the first carbon emission data of the green energy equipment according to the matching result of the carbon emission factor, and to obtain the second carbon emission data based on the coded scanning identification data;

[0113] S4, obtaining carbon footprint calculation results corresponding to the first carbon emission data and the second carbon emission data according to the visualization results of the material information identification data and the code scanning identification data.

[0114] The embodiment of the present invention discloses a carbon footprint accounting method based on carbon footprint measurement and testing digital equipment, which can detect the raw materials of green equipment to identify key information such as material component content, model, weight, etc., and based on the built-in carbon emission factor and other related data, it can simultaneously realize the calculation of carbon emission data, and can transmit the data results to the cloud edge platform for dynamic display. The measurement and testing digital equipment supports the manual addition of new green energy equipment models and parameters, and has a programmable interface to access relevant on-site data, and can quickly transmit the models and parameters of relevant new green energy equipment to the carbon footprint cloud edge platform. On the basis of determining the scope and boundaries of carbon emissions, the collection, dynamic transmission, and data display required for carbon footprint calculation are realized.

[0115] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0116] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

Claims

1. A carbon footprint calculation system based on carbon footprint measurement and testing digital equipment, characterized in that: include: A material identification module is used to identify the material information of green energy equipment to obtain material information identification data; The coding scanning module is used to scan and identify the KKS code and material code carried by the green energy equipment to obtain coding scanning identification data; A carbon footprint calculation module, used for performing data matching between the material information identification data and the element database of green energy equipment, so as to calculate the first carbon emission data of the green energy equipment according to the matching result of the carbon emission factor, and to obtain the second carbon emission data based on the coded scanning identification data; An information interaction module is used to visualize the material information identification data and the code scanning identification data, and to display the carbon footprint calculation results corresponding to the first carbon emission data and the second carbon emission data on a page.

2. The system according to claim 1, characterized in that After the carbon footprint calculation module, there is also a measured data calculation module for: Calculate the first carbon emission data of the first type of green energy equipment to obtain the measured carbon emission data, and calculate the measured average carbon emission data of the green energy equipment: E1n=∑ i Q i *C is E1a=(E1+E2+…En) / N Among them, E1n is the nth measured carbon emission data of the first green energy equipment, Q i is the mass data of the measured equipment components, C is is the standard carbon emission factor of the equipment components, N is the number of material analyses, and E1a is the measured average carbon emission data of the first type of green energy equipment.

3. The system according to claim 2, characterized in that The measured data calculation module is also used for: The second carbon emission data obtained based on scanning and identification is standard carbon emission data of green energy equipment; Calculating an actual carbon emission data correction coefficient based on the standard carbon emission data and the measured average carbon emission data; The carbon emission data of the system including various green energy equipment is calculated according to the carbon emission data correction coefficient.

4. The system according to claim 3, characterized in that The carbon emission data correction coefficient and the system carbon emission data are calculated by the following formulas: K1=E1a / E1s And=∑ i AND ia =∑ i AND is *K i Among them, K1 is the carbon emission data correction coefficient of the first type of green energy equipment, E1s is the standard carbon emission data of green energy equipment, E is the overall carbon emission data of the system, and E ia is the measured average carbon emission data of the i-th green energy equipment, E is is the standard carbon emission data of the i-th green energy equipment, K i is the carbon emission data correction coefficient of the i-th green energy equipment.

5. The system according to claim 1, characterized in that The material identification module includes at least an excitation source, a detector and a camera; the material identification module is also used to use LIBs technology to identify the material information identification data of green energy equipment; wherein the material information identification data includes at least the equipment element composition, content and equipment attribute information.

6. The system according to claim 5, characterized in that The material identification module is also used for: The high-energy laser is irradiated on the sample of the green energy equipment through the excitation source, and a laser spot is formed on the surface of the sample to excite the sample to emit light; The sample excitation luminescence is analyzed by the spectral system and monitoring system to obtain the elemental composition and content of the sample.

7. The system according to claim 6, characterized in that The coding scanning module includes a barcode scanning configuration definition unit, a handheld terminal barcode collection application unit and a collection log query unit; based on the coding rules corresponding to the KKS code and the material code, a corresponding decoding method is configured; The barcode scanning configuration definition unit is used to perform barcode scanning configuration for two business scenarios: KKS coding and material coding, including: setting configuration type, order generation target type, source order type, handheld terminal application name, handheld terminal function name, scanning and parsing order, scan and parsing post-action, scanning interface display information and business type mapping.

8. The system according to claim 7, characterized in that The handheld terminal barcode collection application unit is used to: Scan the code through the scanning port. If the code self-parses successfully, the system will automatically match the source document type and the target type. If the barcode self-parses fails, the preset target type and source document type are used to parse and generate the target document and the reference relationship information of the document. When a code parsing request is received, the code composition is parsed through the code parsing service, and the code parsing result is obtained in combination with the data in the code file, and returned to the caller to complete the code parsing operation.

9. The system according to claim 8, characterized in that The carbon footprint calculation module is also used to: Obtaining code scanning identification data through the ERP system, wherein the code scanning identification data includes material information related to the material coding; Calculate the target raw material list and its corresponding quality based on the coded scan identification data and the preset equipment attribute information; The second carbon emission data of the green energy equipment is calculated based on the raw material list of the target and the matching results of its corresponding quality and emission factor database.

10. A carbon footprint calculation method based on carbon footprint measurement and testing digital equipment, characterized in that: The method comprises the following steps: Identify the material information of green energy equipment to obtain material information identification data; Scan and identify the KKS code and material code carried by the green energy equipment to obtain code scanning and identification data; Performing data matching on the material information identification data and the element database of the green energy equipment, so as to calculate and obtain first carbon emission data of the green energy equipment according to the matching result of the carbon emission factor, and to obtain second carbon emission data based on the coded scanning identification data; The carbon footprint calculation results corresponding to the first carbon emission data and the second carbon emission data are obtained according to the visualization results of the material information identification data and the coded scanning identification data.

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