Carbon emission factor data determination method and device, equipment, storage medium and product

Abstract

The invention belongs to the technical field of carbon management, and discloses a carbon emission factor data determination method and device, equipment, a storage medium and a product. The method comprises the following steps: performing word segmentation processing on a to-be-queried carbon row text to obtain a carbon row text after word segmentation, then matching the carbon row text after word segmentation with a preset index structure database to obtain a plurality of matched carbon row texts, and then determining a target score corresponding to each matched carbon row text, and determining carbon emission factor data according to the target score and a preset index structure database. According to the method, the carbon emission text after word segmentation is matched with the preset index structure database, the matched carbon emission text matched with the carbon emission text after word segmentation can be searched from the preset index structure database, and then the carbon emission factor data is determined according to the target score corresponding to each matched carbon emission text and the preset index structure database; compared with an existing method of manually determining the carbon emission factor data, the method can automatically determine the carbon emission factor data, and reduces the manpower and time cost.

Description

Technical Field

[0001] The present application relates to the field of carbon management technology, and in particular to a method, device, equipment, storage medium and product for determining carbon emission factor data. Background Art

[0002] There are two most important basic functions in the carbon management system, namely carbon inventory and carbon footprint calculation. The calculation of these two functions requires the selection of carbon emission factor data according to the emission source or material. When the process is complex or there are too many emission sources, thousands of carbon emission factor data need to be manually selected, which is extremely labor-intensive and time-consuming. Therefore, how to automatically determine the carbon emission factor data and reduce the manpower and time costs has become an urgent problem to be solved. Summary of the invention

[0003] The main purpose of this application is to provide a method, device, equipment, storage medium and product for determining carbon emission factor data, aiming to solve the technical problem of how to automatically determine carbon emission factor data and reduce manpower and time costs.

[0004] To achieve the above purpose, the present application provides a method for determining carbon emission factor data, and the method for determining carbon emission factor data comprises the following steps:

[0005] Perform word segmentation on the carbon emission text to be queried to obtain the carbon emission text after word segmentation;

[0006] Matching the segmented carbon emission text with a preset index structure database to obtain a plurality of matching carbon emission texts;

[0007] Determine the target score corresponding to each matching carbon emission text, and determine the carbon emission factor data according to the target score and the preset index structure database.

[0008] Optionally, before the step of matching the segmented carbon emission text with a preset index structure database to obtain a plurality of matching carbon emission texts, the step further includes:

[0009] Building a name index structure based on the initial name information;

[0010] A regional index structure is constructed based on the regional information, and a process index structure is constructed based on the process information;

[0011] A preset index structure database is formed based on the name index structure, the region index structure and the process index structure.

[0012] Optionally, the step of constructing a name index structure based on the initial name information specifically includes:

[0013] Perform word segmentation on the initial name information to obtain the name information after word segmentation;

[0014] Determine the initials of the name corresponding to the segmented name information, and determine a data identifier list corresponding to the segmented name information;

[0015] A name index structure is constructed based on the initial letters of the name, the name information after word segmentation, and the data identification list.

[0016] Optionally, the step of determining a data identifier list corresponding to the segmented name information specifically includes:

[0017] Determining an initial data identifier carried by the initial name information;

[0018] Searching the target name information corresponding to the segmented name information from the initial name information;

[0019] The target data identifier corresponding to the target name information is determined according to the initial data identifier, and a data identifier list is constructed based on the target data identifier.

[0020] Optionally, the step of matching the segmented carbon emission text with a preset index structure database to obtain a plurality of matching carbon emission texts specifically includes:

[0021] Determine the first letter of the text corresponding to the carbon emission text after the segmentation;

[0022] Determine a name index structure, a region index structure, and a process index structure in a preset index structure database;

[0023] Match the first letter of the text with the first letter of the name in the name index structure, the first letter of the region in the region index structure, and the first letter of the process in the process index structure, respectively, to obtain the first letter of the name that has been matched, the first letter of the region that has been matched, and the first letter of the process that has been matched;

[0024] A plurality of matching carbon emission texts are determined based on the segmented carbon emission text, the first letter of the name that has been matched, the first letter of the region that has been matched, and the first letter of the process that has been matched.

[0025] Optionally, the step of determining a plurality of matching carbon emission texts based on the segmented carbon emission text, the first letter of the name that has been matched, the first letter of the region that has been matched, and the first letter of the process that has been matched specifically includes:

[0026] Determine the name text corresponding to the first letter of the name that passes the match, the region text corresponding to the first letter of the region that passes the match, and the process text corresponding to the first letter of the process that passes the match;

[0027] Calculate the name text distance between the segmented carbon text and the name text, the regional text distance between the segmented carbon text and the regional text, and the process text distance between the segmented carbon text and the process text;

[0028] A plurality of matching carbon texts are determined according to the name text distance, the region text distance and the process text distance.

[0029] Optionally, the step of determining a target score corresponding to each matching carbon emission text, and determining carbon emission factor data according to the target score and the preset index structure database specifically includes:

[0030] Determine the target score corresponding to each matching carbon emission text;

[0031] Sorting the target scores, and selecting a target carbon emission text from the matching carbon emission texts according to the sorting result;

[0032] A target data identification list corresponding to the target carbon emission text is determined based on the preset index structure database, and carbon emission factor data is determined according to the target data identification list.

[0033] Optionally, the step of determining the target score corresponding to each matching carbon emission text specifically includes:

[0034] Determine the first score corresponding to each matching carbon row text according to the preset part-of-speech rule;

[0035] Determine the second score corresponding to each matching carbon emission text according to the preset business rules, and determine the third score corresponding to each matching carbon emission text according to the preset industry rules;

[0036] A target score corresponding to each matching carbon emission text is determined according to the first score, the second score, and the third score.

[0037] In addition, to achieve the above-mentioned purpose, the present application also provides a device for determining carbon emission factor data, and the device for determining carbon emission factor data includes:

[0038] The text segmentation module is used to perform segmentation on the carbon emission text to be queried and obtain the segmented carbon emission text;

[0039] A data matching module, used to match the segmented carbon emission text with a preset index structure database to obtain a plurality of matching carbon emission texts;

[0040] The data determination module is used to determine the target score corresponding to each matching carbon emission text, and determine the carbon emission factor data according to the target score and the preset index structure database.

[0041] In addition, to achieve the above-mentioned purpose, the present application also proposes a device for determining carbon emission factor data, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program is configured to implement the steps of the method for determining carbon emission factor data as described above.

[0042] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the method for determining the carbon emission factor data as described above are implemented.

[0043] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the steps of the method for determining carbon emission factor data as described above.

[0044] This application performs word segmentation on the carbon emission text to be queried to obtain the segmented carbon emission text, then matches the segmented carbon emission text with a preset index structure database to obtain multiple matching carbon emission texts, and then determines the target score corresponding to each matching carbon emission text, and determines the carbon emission factor data according to the target score and the preset index structure database. This application first performs word segmentation on the carbon emission text to be queried, and then matches the segmented carbon emission text with a preset index structure database, and can search for matching carbon emission texts that match the segmented carbon emission text from the preset index structure database, and then determine the carbon emission factor data according to the target score corresponding to each matching carbon emission text and the preset index structure database. Compared with the existing method of manually determining carbon emission factor data, the above method of this application can automatically determine the carbon emission factor data, reducing manpower and time costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0046] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0047] Figure 1 This is a flow chart of the first embodiment of the method for determining carbon emission factor data of the present application;

[0048] Figure 2This is a flow chart of the second embodiment of the method for determining carbon emission factor data of the present application;

[0049] Figure 3 This is a flow chart of a third embodiment of the method for determining carbon emission factor data of the present application;

[0050] Figure 4 This is a schematic diagram of the overall process of an embodiment of a method for determining carbon emission factor data of the present application;

[0051] Figure 5 This is a structural block diagram of the first embodiment of the device for determining carbon emission factor data of the present application;

[0052] Figure 6 It is a structural diagram of a device for determining carbon emission factor data of a hardware operating environment involved in an embodiment of the present application.

[0053] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0054] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0055] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0056] It should be noted that the execution subject of this application may be a computing service device with data processing, network communication and program running functions, such as a computer, a mobile phone, or an electronic device capable of realizing the above functions, a device for determining carbon emission factor data, etc. The following takes the device for determining carbon emission factor data as an example to illustrate this embodiment and the following embodiments.

[0057] Based on this, the present application embodiment provides a method for determining carbon emission factor data, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the method for determining carbon emission factor data of the present application.

[0058] In this embodiment, the method for determining the carbon emission factor data includes the following steps:

[0059] Step S10: Perform word segmentation processing on the carbon emission text to be queried to obtain the carbon emission text after word segmentation.

[0060] It can be understood that the carbon emission text to be queried refers to text related to carbon emissions, which can be thousands of materials or emission sources required for the process of a product, such as batteries, tires, etc. After the user enters the carbon emission text to be queried, the carbon emission factor data related to the text can be output, such as battery consumption, tire loss, etc.

[0061] It should be understood that the carbon emission text to be queried can be segmented by natural language technology to obtain the segmented carbon emission text. For example, if the carbon emission text to be queried is Market soil, the segmented carbon emission text is MARKET and SOIL.

[0062] Step S20: matching the segmented carbon emission text with a preset index structure database to obtain a plurality of matching carbon emission texts.

[0063] It can be understood that the preset index structure database refers to a pre-set index structure database, which may include a name index structure database, a regional index structure database, a process index structure database, a unit index structure database, etc., and can match the carbon emission text after word segmentation with the preset index structure database. Specifically, the carbon emission text after word segmentation can be matched with each index structure in the preset index structure database, and the matched text can be used as the matching carbon emission text, and the text in the preset index structure database that is consistent with the carbon emission text after word segmentation can be used as the matching carbon emission text.

[0064] Furthermore, in order to effectively construct a preset index structure database, in this embodiment, before step S20, it also includes: constructing a name index structure based on the initial name information; constructing a regional index structure based on the regional information, and constructing a process index structure based on the process information; and constructing a preset index structure database based on the name index structure, the regional index structure and the process index structure.

[0065] It should be understood that the preset index structure database in this embodiment may include a name index structure, a region index structure, and a process index structure. Specifically, the name index structure may be constructed based on the initial name information, the region index structure may be constructed based on the region information, and the process index structure may be constructed based on the process information.

[0066] Furthermore, in order to accurately construct a name index structure, in this embodiment, the step of constructing a name index structure based on the initial name information specifically includes: segmenting the initial name information to obtain the name information after segmentation; determining the first letters of the name corresponding to the name information after segmentation, and determining a data identification list corresponding to the name information after segmentation; and constructing a name index structure based on the first letters of the name, the name information after segmentation, and the data identification list.

[0067] It is understandable that for the construction of the name index structure, the initial name information can be segmented first. The initial name information can be a single name information, or it can be the information after the name information and synonyms are spliced ​​together. For example, lead-acid battery, nickel-hydrogen battery, sodium-sulfur battery, and battery can be used as synonyms to obtain the name information after segmentation, and then determine the name initials and data identification list corresponding to the name information after segmentation. Finally, the name index structure is constructed based on the name initials, the name information after segmentation, and the data identification list. For example, the initial name information includes Market for soil, contaminated, the name information after segmentation includes MARKET, FOR, SOIL, contaminated, the name initials include M, F, S, C, the data identification list includes 1,2,3,4, 1,3,5,6, 2,5,7, 1,4,6,8, and the name index structure is shown in Table 1.

[0068] Table 1:

[0069] Initials Name information after word segmentation Data Identifier List M MARKET 1,2,3,4 F FOR 1,3,5,6 S SOIL 2,5,7 C contaminated 1,4,6,8

[0070] It should be understood that the construction of the regional structure index can also refer to the above method. Specifically, the initial regional information can be segmented and the first letters can be extracted, and a regional structure index can be constructed between the regional first letters, the segmented regional information, and the data identification list.

[0071] In a specific implementation, the construction of the process index structure can also be constructed in accordance with the above method. Specifically, the initial process information can be segmented first. The initial process information can be a single process information or a process description and information concatenated from the process description. The segmented process information is obtained, and then the process initials and data identifier list corresponding to the segmented process information are determined. Finally, the process index structure is constructed based on the process initials, the segmented process information and the data identifier list.

[0072] Furthermore, in order to accurately find the data identifier list corresponding to the name information after word segmentation, in this embodiment, the step of determining the data identifier list corresponding to the name information after word segmentation specifically includes: determining the initial data identifier carried by the initial name information; searching for the target name information corresponding to the name information after word segmentation from the initial name information; determining the target data identifier corresponding to the target name information according to the initial data identifier, and constructing a data identifier list based on the target data identifier.

[0073] It can be understood that in this embodiment, each initial name information may carry an initial data identifier, such as 1, 2, 3, 4, etc., and the target name information corresponding to the name information after word segmentation is searched from the initial name information. The target name information may include the name information after word segmentation. For example, if the name information after word segmentation is FOR, the target name information may be FOR A, FOR B, FOR C, FOR D, etc., and then the target data identifier corresponding to the target name information is determined according to the initial data identifier. The target data identifier may be the data identifier carried by the target name information. For example, if the target name information is FOR A, the target data identifier includes the data identifier carried by FOR and the data identifier carried by A. All the obtained target data identifiers are then used as a data identifier list. The data identifier list may be the data identifiers 1, 3, 5, 6 carried by FOR and the data identifiers 2, 3 carried by A.

[0074] Step S30: determining a target score corresponding to each matching carbon emission text, and determining carbon emission factor data according to the target score and the preset index structure database.

[0075] It should be understood that the target score corresponding to each matching carbon emission text can be determined according to the preset scoring rules. The preset scoring rules may include part of speech, business, and industry scoring rules, and the carbon emission factor data can be determined based on the target score and the preset index structure database. Specifically, a data identification list can be selected from the preset index structure database according to the target score to obtain the carbon emission factor data corresponding to the data identification list.

[0076] This embodiment performs word segmentation processing on the carbon emission text to be queried to obtain the carbon emission text after word segmentation, and then matches the carbon emission text after word segmentation with a preset index structure database to obtain multiple matching carbon emission texts, and then determines the target score corresponding to each matching carbon emission text, and determines the carbon emission factor data according to the target score and the preset index structure database. This embodiment first performs word segmentation processing on the carbon emission text to be queried, and then matches the carbon emission text after word segmentation with a preset index structure database, and can search for matching carbon emission texts that match the carbon emission text after word segmentation from the preset index structure database, and then determine the carbon emission factor data according to the target score corresponding to each matching carbon emission text and the preset index structure database. Compared with the existing method of manually determining the carbon emission factor data, the above method of this application can automatically determine the carbon emission factor data, reducing manpower and time costs.

[0077] refer to Figure 2 , Figure 2 This is a flow chart of the second embodiment of the method for determining carbon emission factor data of the present application.

[0078] Based on the above first embodiment, in this embodiment, step S20 includes:

[0079] Step S201: determining the first letter of the text corresponding to the segmented carbon emission text.

[0080] It is understandable that the first letters of the text corresponding to each segmented carbon emission text can be determined. For example, if the segmented carbon emission text is MARKET and SOIL, the first letters of the text are M and S.

[0081] Step S202: Determine the name index structure, the region index structure, and the process index structure in the preset index structure database.

[0082] It should be understood that the name index structure, the region index structure and the process index structure in the preset index structure database may be extracted.

[0083] Step S203: Match the first letter of the text with the first letter of the name in the name index structure, the first letter of the region in the region index structure, and the first letter of the process in the process index structure, respectively, to obtain the first letter of the name that has been matched, the first letter of the region that has been matched, and the first letter of the process that has been matched.

[0084] It is understandable that the first letter of the text can be matched with the first letter of the name in the name index structure to obtain the first letter of the name that matches, that is, the first letter of the name that is consistent with the first letter of the text. Similarly, the first letter of the text can be matched with the first letter of the region in the region index structure to obtain the first letter of the region that matches, and the first letter of the text can be matched with the first letter of the process in the process index structure to obtain the first letter of the process that matches.

[0085] Step S204: Determine a plurality of matching carbon emission texts based on the segmented carbon emission texts, the first letters of the names that have been matched, the first letters of the regions that have been matched, and the first letters of the processes that have been matched.

[0086] Furthermore, in order to automatically and accurately obtain multiple matching carbon emission texts, in this embodiment, the step S204 includes: determining the name text corresponding to the first letter of the name that passes the match, the regional text corresponding to the first letter of the region that passes the match, and the process text corresponding to the first letter of the process that passes the match; calculating the name text distance between the segmented carbon emission text and the name text, the regional text distance between the segmented carbon emission text and the regional text, and the process text distance between the segmented carbon emission text and the process text; determining multiple matching carbon emission texts according to the name text distance, the regional text distance, and the process text distance.

[0087] It should be understood that since the name index structure may contain the correspondence between the first letter of the name, the name information after word segmentation, and the data identification list, the name text corresponding to the first letter of the name that has been matched can be determined based on the name index structure. A first letter of the name that has been matched can correspond to multiple name texts. Similarly, the regional text corresponding to the first letter of the region that has been matched can be determined, and the process text corresponding to the first letter of the process that has been matched can be determined.

[0088] It is understandable that the name text distance between the carbon emission text after word segmentation and the name text can be calculated, and the name text distance can be the Levenstein distance between the carbon emission text after word segmentation and the name text, which can be used to measure the difference between the carbon emission text after word segmentation and the name text. Similarly, the regional text distance between the carbon emission text after word segmentation and the regional text can be calculated, and the regional text distance can be the Levenstein distance between the carbon emission text after word segmentation and the regional text, and the process text distance between the carbon emission text after word segmentation and the process text can be calculated, and the process file distance can be the Levenstein distance between the carbon emission text after word segmentation and the process text.

[0089] In a specific implementation, for the segmented carbon emission text with less than 3 characters, the Levenshtein distance is not calculated; for the segmented carbon emission text with more than or equal to 3 characters, the number of characters that can be misspelled in the segmented carbon emission text can be obtained according to the name text distance. When the proportion of the number of characters in the total number of characters in the segmented carbon emission text is less than the preset threshold, the match is considered to be passed. For example, the segmented carbon emission text is nnme, the name text is name, and the number of characters that differ between nnme and name is 1, that is, the number of misspelled characters is 1, so the name text distance is 1. Assuming the preset threshold is 30%, the proportion of the number of misspelled characters to the total number of characters is 1 / 4=25%<30%, and the name text name can be used as the matching carbon emission text. Similarly, the matching carbon emission text can also be determined according to the regional text distance, and the matching carbon emission text can be determined according to the process text distance. The matching carbon emission text can be the name text in the name index structure and / or the regional text in the regional index structure and / or the process text in the process index structure.

[0090] This embodiment determines the first letter of the text corresponding to the segmented carbon emission text, and then determines the name index structure, regional index structure and process index structure in the preset index structure database, and then matches the first letter of the text with the first letter of the name in the name index structure, the first letter of the region in the regional index structure and the first letter of the process in the process index structure, respectively, to obtain the first letter of the name that matches, the first letter of the region that matches and the first letter of the process that matches, and then determines multiple matching carbon emission texts based on the segmented carbon emission text, the first letter of the name that matches, the first letter of the region that matches and the first letter of the process that matches.

[0091] refer to Figure 3 , Figure 3 This is a flow chart of a third embodiment of the method for determining carbon emission factor data of the present application.

[0092] Based on the above embodiments, in this embodiment, step S30 includes:

[0093] Step S301: Determine the target score corresponding to each matching carbon emission text.

[0094] It can be understood that this embodiment can determine the target score corresponding to each matching carbon emission text according to the preset scoring rules. The preset scoring rules may include preset part-of-speech rules, preset business rules and preset industry rules. The preset part-of-speech rules refer to pre-set rules related to the part of speech of each matching carbon emission text, such as the importance of the index structure, the number of hits of the matching carbon emission text in the index structure, etc. The preset business rules refer to pre-set rules related to the data collection business, such as region, publication year, etc. The preset industry rules refer to pre-set rules related to the carbon emission factor industry, such as industry scoring weights, etc.

[0095] Furthermore, in order to accurately calculate the target score corresponding to each matching carbon emission text, in this embodiment, the step S301 includes: determining the first score corresponding to each matching carbon emission text according to the preset part-of-speech rule; determining the second score corresponding to each matching carbon emission text according to the preset business rules, and determining the third score corresponding to each matching carbon emission text according to the preset industry rules; determining the target score corresponding to each matching carbon emission text according to the first score, the second score and the third score.

[0096] It should be understood that the preset part-of-speech rules can be set as: (1) setting weights according to the importance of the index structure, such as 50 points for the name index structure, 30 points for the regional index structure, and 10 points for the process index structure, that is, from which index structure each matching carbon emission text is matched. If the matching carbon emission text is in the name index structure, 50 points can be obtained. If the matching carbon emission text is also in the regional index structure, the score is 50+30=80 points; (2) A matching carbon emission text is accumulated by 1 point when it hits multiple times in the same index structure. For example, if the matching carbon emission text hits once in the name index structure, it gets 50 points, and if it hits twice, it gets 1 point, and gets 51 points, and so on; (3) For the same index structure, according to the maximum number of erroneous words in the matching carbon emission text Multiply the number of matches minus the number of actual errors, and accumulate the resulting values. For example, the length of the matching carbon emission text is 10, the maximum number of erroneous words is 3, the number of matches in the name index structure is 2, the actual number of errors in the matching carbon emission text is 1, and the score is 3*2-1=5, and all the scores of this item in the name index structure are accumulated; (4) Exact match, hit points, that is, if the matching carbon emission text is completely consistent with the carbon emission text after word segmentation, points can be added; (5) Ranking according to the number of data identification lists of matching carbon emission texts, and the proportion of points for a smaller number is higher than that for a larger number; (6) According to the subject +4, predicate +3, object +2, adjective +1 of the part of speech of the matching carbon emission text, the weight is set and scored from high to low. The first score corresponding to each matching carbon emission text can be obtained through the above-mentioned preset part of speech rules. The above preset part of speech rules are only for example, and other part of speech rules can also be set. This embodiment does not impose specific restrictions on this.

[0097] It is understandable that the preset business rules can be set as follows: (1) Region: measured data of the product > national data of the country > Asian data (Asia) > ROW (region outside Europe) > international data (GLO); (2) Release year: the principle of proximity, no more than 10 years; (3) Release department: give priority to data released by international or national authoritative departments, such as the United Nations IPCC and government departments in charge of emissions business in various countries; (4) Accounting scope: the selected data life cycle boundary should be as complete as possible, full life cycle (agg) > half life cycle (p-agg) > production process only (u-so). The second score corresponding to each matching carbon emission text can be obtained through the above preset business rules. The above preset business rules are only for illustration, and other business rules can also be set. This embodiment does not impose specific restrictions on this.

[0098] In a specific implementation, the preset industry rules may be: first, the system will set the industry scoring weight rule map, and then match industry keywords from the product name, product description, and process description. For example, the new energy industry includes solar energy, wind energy, geothermal energy, bioenergy, hydropower, and new energy vehicles. If the hit is similar to the customer's industry, extra points will be given. The third score corresponding to each matching carbon emission text can be obtained through the above preset industry rules. The above preset industry rules are only for illustration, and other industry rules can also be set. This embodiment does not impose specific restrictions on this. The first score, second score, and third score corresponding to each matching carbon emission text are added together to obtain the target score.

[0099] Step S302: sorting the target scores, and selecting a target carbon emission text from the matching carbon emission texts according to the sorting result.

[0100] It is understandable that the target scores corresponding to the matching carbon emission texts may be sorted, and the text with the highest target score may be selected as the target carbon emission text.

[0101] Step S303: determining a target data identification list corresponding to the target carbon emission text based on the preset index structure database, and determining carbon emission factor data according to the target data identification list.

[0102] It should be understood that the preset index structure database may include a mapping relationship between text and data identification list. Therefore, the target data identification list corresponding to the target carbon emission text can be determined based on the preset index structure data. For example, if the target carbon emission text is SOIL, the target data identification list is 2, 5, 7, and the data corresponding to all data identifications in the target data identification list are used as carbon emission factor data.

[0103] In the specific implementation, refer to Figure 4 , Figure 4 This is a schematic diagram of the overall process of an embodiment of a method for determining carbon emission factor data of this application. Figure 4As shown, the index can be constructed first. The name index structure can be constructed after the name and synonyms are segmented. The process index structure can be constructed after the process description and product description are segmented. The regional index structure can be constructed after the regional information is segmented. The preset index structure database is constructed according to the name index structure, the process index structure, and the regional index structure. The preset index structure database can be initialized when the mobile phone starts. When querying the carbon emission text to be queried, the query text can be segmented, and the first letter of the text corresponding to the segmented carbon emission text can be determined, and the text can be matched with the preset index structure database based on the first letter of the text. Specifically, the matching data can be dynamically planned. According to the length of the segmented words, 30% single-letter spelling errors are supported, and precise searches can be performed. Finally, each matching carbon emission text is scored, and the index weight can be set to 50% for the name index weight, 30% for the regional index weight, and 10% for the process index weight. Figure 4 The scoring rules shown are preset part-of-speech rules. Business and industry rules are also required. The preset part-of-speech rules may include: Rule 1: add points to the hit index name; Rule 2: add 1 point if a segmented word hits multiple times in the same index; Rule 3: for the same index, add the value obtained by multiplying the maximum number of wrong words by the number of matches minus the actual number of errors; Rule 4: for exact matches, add points to the hit index name; Rule 5: rank according to the number of documents matched by the word, and the score ratio for documents with fewer words is higher than that for documents with more words. After sorting according to the above, a target data identifier list can be obtained.

[0104] This embodiment determines the target score corresponding to each matching carbon emission text, then sorts the target score, selects the target carbon emission text from each matching carbon emission text according to the sorting result, and then determines the target data identification list corresponding to the target carbon emission text based on the preset index structure database, and determines the carbon emission factor data according to the target data identification list. This embodiment selects the target carbon emission text from each matching carbon emission text according to the sorting result of the target score, and can automatically and effectively determine the target carbon emission text, and then automatically determine the carbon emission factor data according to the target carbon emission text, reducing manpower and time costs.

[0105] Reference Figure 5 , Figure 5 This is a structural block diagram of the first embodiment of the device for determining carbon emission factor data of the present application.

[0106] like Figure 5 As shown, the device for determining carbon emission factor data proposed in the embodiment of the present application includes:

[0107] The text segmentation module 10 is used to perform segmentation processing on the carbon emission text to be queried to obtain the segmented carbon emission text;

[0108] A data matching module 20 is used to match the segmented carbon emission text with a preset index structure database to obtain a plurality of matching carbon emission texts;

[0109] The data determination module 30 is used to determine the target score corresponding to each matching carbon emission text, and determine the carbon emission factor data according to the target score and the preset index structure database.

[0110] This embodiment performs word segmentation processing on the carbon emission text to be queried to obtain the carbon emission text after word segmentation, and then matches the carbon emission text after word segmentation with a preset index structure database to obtain multiple matching carbon emission texts, and then determines the target score corresponding to each matching carbon emission text, and determines the carbon emission factor data according to the target score and the preset index structure database. This embodiment first performs word segmentation processing on the carbon emission text to be queried, and then matches the carbon emission text after word segmentation with a preset index structure database, and can search for matching carbon emission texts that match the carbon emission text after word segmentation from the preset index structure database, and then determine the carbon emission factor data according to the target score corresponding to each matching carbon emission text and the preset index structure database. Compared with the existing method of manually determining the carbon emission factor data, the above method of this application can automatically determine the carbon emission factor data, reducing manpower and time costs.

[0111] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of the present application. In practical applications, technicians in this field can select part or all of them according to actual needs to achieve the purpose of the present embodiment, and no limitation is made here.

[0112] In addition, for technical details not fully described in this embodiment, please refer to the method for determining carbon emission factor data provided in any embodiment of the present application, which will not be repeated here.

[0113] Based on the first embodiment of the device for determining carbon emission factor data of the present application, a second embodiment of the device for determining carbon emission factor data of the present application is proposed.

[0114] In this embodiment, the data matching module 20 is also used to construct a name index structure based on the initial name information; construct a regional index structure based on the regional information, and construct a process index structure based on the process information; and construct a preset index structure database based on the name index structure, the regional index structure and the process index structure.

[0115] Furthermore, the data matching module 20 is also used to segment the initial name information to obtain the name information after segmentation; determine the first letter of the name corresponding to the name information after segmentation, and determine the data identification list corresponding to the name information after segmentation; and construct a name index structure based on the first letter of the name, the name information after segmentation and the data identification list.

[0116] Furthermore, the data matching module 20 is also used to determine the initial data identifier carried by the initial name information; search for target name information corresponding to the name information after word segmentation from the initial name information; determine the target data identifier corresponding to the target name information based on the initial data identifier, and construct a data identifier list based on the target data identifier.

[0117] Furthermore, the data matching module 20 is also used to determine the first letter of the text corresponding to the segmented carbon emission text; determine the name index structure, regional index structure and process index structure in the preset index structure database; match the first letter of the text with the first letter of the name in the name index structure, the first letter of the region in the regional index structure and the first letter of the process in the process index structure, respectively, to obtain the first letter of the name that matches, the first letter of the region that matches and the first letter of the process that matches; determine multiple matching carbon emission texts based on the segmented carbon emission text, the first letter of the name that matches, the first letter of the region that matches and the first letter of the process that matches.

[0118] Furthermore, the data matching module 20 is also used to determine the name text corresponding to the first letter of the name that has been matched, the regional text corresponding to the first letter of the region that has been matched, and the process text corresponding to the first letter of the process that has been matched; calculate the name text distance between the segmented carbon emission text and the name text, the regional text distance between the segmented carbon emission text and the regional text, and the process text distance between the segmented carbon emission text and the process text; determine multiple matching carbon emission texts based on the name text distance, the regional text distance, and the process text distance.

[0119] Furthermore, the data determination module 30 is also used to determine the target score corresponding to each matching carbon emission text; sort the target scores, and select the target carbon emission text from the matching carbon emission texts according to the sorting results; determine the target data identification list corresponding to the target carbon emission text based on the preset index structure database, and determine the carbon emission factor data according to the target data identification list.

[0120] Furthermore, the data determination module 30 is also used to determine a first score corresponding to each matching carbon emission text according to a preset part-of-speech rule; determine a second score corresponding to each matching carbon emission text according to a preset business rule, and determine a third score corresponding to each matching carbon emission text according to a preset industry rule; determine a target score corresponding to each matching carbon emission text according to the first score, the second score and the third score.

[0121] Other embodiments or specific implementations of the device for determining carbon emission factor data of the present application can refer to the above-mentioned method embodiments and will not be described in detail here.

[0122] The present application provides a device for determining carbon emission factor data, and the device for determining carbon emission factor data includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method for determining the carbon emission factor data in the above-mentioned embodiment one.

[0123] Reference below Figure 6 , which shows a schematic diagram of the structure of a device for determining carbon emission factor data suitable for implementing the embodiment of the present application. The device for determining carbon emission factor data in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 6 The device for determining the carbon emission factor data shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0124] like Figure 6As shown, the device for determining carbon emission factor data may include a processing device 1001 (e.g., a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the device for determining carbon emission factor data are also stored. The processing device 1001, ROM1002, and RAM1004 are connected to each other via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the device for determining carbon emission factor data to communicate wirelessly or wired with other devices to exchange data. Although the figure shows a device for determining carbon emission factor data with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have alternatively.

[0125] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0126] The device for determining carbon emission factor data provided by the present application adopts the method for determining carbon emission factor data in the above embodiment, which can solve the technical problem of how to automatically determine carbon emission factor data and reduce manpower and time costs. Compared with the prior art, the beneficial effects of the device for determining carbon emission factor data provided by the present application are the same as the beneficial effects of the method for determining carbon emission factor data provided by the above embodiment, and the other technical features in the device for determining carbon emission factor data are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0127] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0128] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0129] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the method for determining carbon emission factor data in the above-mentioned embodiment.

[0130] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0131] The computer-readable storage medium may be included in the device for determining carbon emission factor data; or may exist independently without being assembled into the device for determining carbon emission factor data.

[0132] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the device for determining the carbon emission factor data, the device for determining the carbon emission factor data enables: to perform word segmentation on the carbon emission text to be queried to obtain the segmented carbon emission text; to match the segmented carbon emission text with a preset index structure database to obtain multiple matching carbon emission texts; to determine the target score corresponding to each matching carbon emission text, and to determine the carbon emission factor data based on the target score and the preset index structure database.

[0133] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0134] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0135] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0136] The readable storage medium provided in this application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned method for determining carbon emission factor data, and can solve the technical problem of how to automatically determine carbon emission factor data and reduce manpower and time costs. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as the beneficial effects of the method for determining carbon emission factor data provided in the above-mentioned embodiment, and will not be repeated here.

[0137] The present application also provides a computer program product, including a computer program, which implements the steps of the method for determining carbon emission factor data as described above when executed by a processor.

[0138] The computer program product provided by this application can solve the technical problem of how to automatically determine carbon emission factor data and reduce manpower and time costs. Compared with the prior art, the beneficial effects of the computer program product provided by this application are the same as the beneficial effects of the method for determining carbon emission factor data provided in the above embodiment, and will not be repeated here.

[0139] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A method for determining carbon emission factor data, characterized in that: The method for determining the carbon emission factor data comprises the following steps: Perform word segmentation on the carbon emission text to be queried to obtain the carbon emission text after word segmentation; Matching the segmented carbon emission text with a preset index structure database to obtain a plurality of matching carbon emission texts; Determine the target score corresponding to each matching carbon emission text, and determine the carbon emission factor data according to the target score and the preset index structure database.

2. The method for determining carbon emission factor data according to claim 1, characterized in that: Before the step of matching the segmented carbon emission text with a preset index structure database to obtain a plurality of matching carbon emission texts, the step further includes: Building a name index structure based on the initial name information; A regional index structure is constructed based on the regional information, and a process index structure is constructed based on the process information; A preset index structure database is formed based on the name index structure, the region index structure and the process index structure.

3. The method for determining carbon emission factor data according to claim 2, characterized in that: The step of constructing a name index structure based on the initial name information specifically includes: Perform word segmentation on the initial name information to obtain the name information after word segmentation; Determine the initials of the name corresponding to the segmented name information, and determine a data identifier list corresponding to the segmented name information; A name index structure is constructed based on the initial letters of the name, the name information after word segmentation, and the data identification list.

4. The method for determining carbon emission factor data according to claim 3, characterized in that: The step of determining a data identifier list corresponding to the segmented name information specifically includes: Determining an initial data identifier carried by the initial name information; Searching the target name information corresponding to the segmented name information from the initial name information; The target data identifier corresponding to the target name information is determined according to the initial data identifier, and a data identifier list is constructed based on the target data identifier.

5. The method for determining carbon emission factor data according to claim 3, characterized in that: The step of matching the segmented carbon emission text with a preset index structure database to obtain a plurality of matching carbon emission texts specifically includes: Determine the first letter of the text corresponding to the carbon emission text after the segmentation; Determine a name index structure, a region index structure, and a process index structure in a preset index structure database; Match the first letter of the text with the first letter of the name in the name index structure, the first letter of the region in the region index structure, and the first letter of the process in the process index structure, respectively, to obtain the first letter of the name that has been matched, the first letter of the region that has been matched, and the first letter of the process that has been matched; A plurality of matching carbon emission texts are determined based on the segmented carbon emission text, the first letter of the name that has been matched, the first letter of the region that has been matched, and the first letter of the process that has been matched.

6. The method for determining carbon emission factor data according to claim 5, characterized in that: The step of determining a plurality of matching carbon emission texts based on the segmented carbon emission text, the first letter of the name that has been matched, the first letter of the region that has been matched, and the first letter of the process that has been matched specifically includes: Determine the name text corresponding to the first letter of the name that passes the match, the region text corresponding to the first letter of the region that passes the match, and the process text corresponding to the first letter of the process that passes the match; Calculate the name text distance between the segmented carbon text and the name text, the region text distance between the segmented carbon text and the region text, and the process text distance between the segmented carbon text and the process text; A plurality of matching carbon row texts are determined according to the name text distance, the region text distance and the process text distance.

7. The method for determining carbon emission factor data according to any one of claims 1 to 6, characterized in that: The step of determining the target score corresponding to each matching carbon emission text, and determining the carbon emission factor data according to the target score and the preset index structure database specifically includes: Determine the target score corresponding to each matching carbon emission text; Sorting the target scores, and selecting a target carbon emission text from the matching carbon emission texts according to the sorting result; A target data identification list corresponding to the target carbon emission text is determined based on the preset index structure database, and carbon emission factor data is determined according to the target data identification list.

8. The method for determining carbon emission factor data according to claim 7, characterized in that: The step of determining the target score corresponding to each matching carbon emission text specifically includes: Determine the first score corresponding to each matching carbon row text according to the preset part-of-speech rule; Determine the second score corresponding to each matching carbon emission text according to the preset business rules, and determine the third score corresponding to each matching carbon emission text according to the preset industry rules; A target score corresponding to each matching carbon emission text is determined according to the first score, the second score, and the third score.

9. A device for determining carbon emission factor data, characterized in that: The device for determining carbon emission factor data comprises: The text segmentation module is used to perform segmentation on the carbon emission text to be queried and obtain the segmented carbon emission text; A data matching module, used to match the segmented carbon emission text with a preset index structure database to obtain a plurality of matching carbon emission texts; The data determination module is used to determine the target score corresponding to each matching carbon emission text, and determine the carbon emission factor data according to the target score and the preset index structure database.

10. A device for determining carbon emission factor data, characterized in that: The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the method for determining carbon emission factor data according to any one of claims 1 to 8.

11. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the method for determining carbon emission factor data according to any one of claims 1 to 8 are implemented.

12. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the method for determining carbon emission factor data according to any one of claims 1 to 8 are implemented.

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