Data analysis method, device and equipment based on campus zero-carbonization transformation and medium

By conducting comprehensive energy consumption and carbon emission analysis on campus data, the problem of incomplete data analysis in zero-carbonization transformation on campus is solved, accurate data support is provided, and strong guarantees are provided for the formulation of reasonable transformation plans.

CN119761853AActive Publication Date: 2025-04-04CHINA YANGTZE POWER +1
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Patent Information

Application Number
CN202411832329.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-12
Publication Date
2025-04-04
Estimated Expiration
2044-12-12

AI Technical Summary

Technical Problem

During the zero-carbonization transformation of campuses, the existing technology has the problem of incomplete data analysis and cannot provide accurate and strong support for zero-carbonization transformation of campuses.

Method used

Provide a data analysis method based on campus zero-carbonization transformation. By obtaining campus data, including basic information, energy information, renewable energy information and carbon emission data, comprehensive analysis is carried out to obtain energy consumption analysis results and carbon emission analysis results.

Benefits of technology

It improves the richness of campus data and the adequacy of data analysis, provides accurate and strong support for the formulation of a campus zero-carbonization transformation plan, and improves the rationality of the plan.

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Abstract

The invention relates to a data analysis method, device and equipment based on campus zero-carbonization transformation and a medium. The data analysis method based on campus zero-carbonization transformation comprises the following steps: acquiring campus data; based on the campus data, analyzing energy use conditions corresponding to the campus and each single building in a preset period; analyzing the resource utilization condition of each renewable energy source based on the campus renewable energy source information; according to the method, the energy consumption analysis result and the carbon emission analysis result of the single building are analyzed, the campus carbon emission accounting and the carbon emission analysis are carried out at the same time, and the zero-carbonization transformation scheme of the campus is determined according to the energy consumption analysis result corresponding to the campus and the single building and the carbon emission analysis result of the campus, so that the zero-carbonization transformation object can be determined by fully combining the energy consumption analysis result and the carbon emission analysis result; the data richness and the data analysis sufficiency in the zero carbonization transformation process are improved, accurate and powerful support is further provided for formulating a zero carbonization transformation scheme, and then the reasonability of the zero carbonization transformation scheme is improved.
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Description

Technical Field

[0001] The present disclosure relates to the technical field of zero-carbon transformation, and in particular to a data analysis method, device, equipment and medium based on zero-carbon transformation of campus. Background Art

[0002] Given the large number of campuses in my country, the large number of teachers and students, the high per capita density, concentrated energy use, and diverse building types, campuses play a key role in the zero-carbon transition.

[0003] In the process of zero-carbon transformation of campus, the collection, integration, analysis and management of campus data is an important prerequisite and strong guarantee for achieving the goal of zero-carbon transformation of campus. However, in the process of zero-carbon transformation of campus, the common method is to analyze carbon emission data and then guide the zero-carbon transformation of campus based on the results of carbon emission analysis. There is a problem of incomplete data analysis, which cannot provide accurate and strong support for the zero-carbon transformation of campus. Summary of the invention

[0004] In order to solve the above technical problems, the present disclosure provides a data analysis method, device, equipment and medium based on campus zero-carbon transformation.

[0005] A first aspect of an embodiment of the present disclosure provides a data analysis method based on campus zero-carbon transformation, including:

[0006] Obtain campus data, including basic campus information, campus landscape and ecological information, basic campus building information, campus energy information, campus renewable energy information, and campus target carbon emission data;

[0007] Based on the campus data, the energy usage of the campus and each single building in a preset period is analyzed to obtain a first energy consumption analysis result corresponding to the campus and a second energy consumption analysis result corresponding to each single building;

[0008] Analyze the resource utilization of each renewable energy source based on campus renewable energy information to obtain a third energy consumption analysis result corresponding to each renewable energy source;

[0009] Determine at least one type of carbon emission source corresponding to the campus data, calculate the carbon emissions corresponding to each type of carbon emission source in the campus, and calculate the carbon offset corresponding to the campus based on the campus data;

[0010] Determine the actual carbon emissions corresponding to the campus based on carbon emissions and carbon offsets;

[0011] Analyze the campus' carbon emissions based on carbon emissions, carbon offsets, and actual carbon emissions to obtain carbon emissions analysis results;

[0012] The first energy consumption analysis result, the second energy consumption analysis result, the third energy consumption analysis result and the carbon emission analysis result are determined as the data analysis results of the zero-carbon transformation of the campus.

[0013] A second aspect of the disclosed embodiment provides a data analysis device based on campus zero-carbon transformation, including:

[0014] The information acquisition module is used to obtain campus data, including basic campus information, campus landscape ecological information, basic campus building information, campus energy information, campus renewable energy information, and campus target carbon emission data;

[0015] The first energy consumption analysis module is used to analyze the energy usage of the campus and each single building within a preset period based on the campus data, and obtain a first energy consumption analysis result corresponding to the campus and a second energy consumption analysis result corresponding to each single building;

[0016] The second energy consumption analysis module is used to analyze the resource utilization of each renewable energy source based on the campus renewable energy information to obtain a third energy consumption analysis result corresponding to each renewable energy source;

[0017] A carbon emission calculation module, used to determine at least one type of carbon emission source corresponding to the campus data, calculate the carbon emission corresponding to each type of carbon emission source in the campus, and calculate the carbon offset corresponding to the campus based on the campus data;

[0018] The actual carbon emission calculation module is used to determine the actual carbon emission corresponding to the campus based on the carbon emission and carbon offset;

[0019] The carbon emission analysis module is used to analyze the carbon emissions of the campus based on carbon emissions, carbon offsets and actual carbon emissions, and obtain carbon emission analysis results;

[0020] The analysis result determination module is used to determine the first energy consumption analysis result, the second energy consumption analysis result, the third energy consumption analysis result and the carbon emission analysis result as the data analysis results of the campus zero-carbon transformation.

[0021] A third aspect of the embodiments of the present disclosure provides an electronic device, including:

[0022] processor;

[0023] A memory for storing executable instructions;

[0024] Among them, the processor is used to read executable instructions from the memory and execute the executable instructions to implement the data analysis method based on campus zero-carbon transformation provided by the first aspect above.

[0025] The fourth aspect of an embodiment of the present disclosure provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the processor implements the data analysis method based on campus zero-carbon transformation provided by the first aspect above.

[0026] Compared with the prior art, the technical solution provided by the embodiments of the present disclosure has the following advantages:

[0027] The data analysis method, device, equipment and medium based on campus zero-carbon transformation provided by the embodiments of the present disclosure can obtain campus data, and the campus data includes basic campus information, campus landscape ecological information, basic campus building information, campus energy information, campus renewable energy information, and campus target carbon emission data; based on the campus data, the energy usage of the campus and each single building within a preset period is analyzed to obtain a first energy consumption analysis result corresponding to the campus and a second energy consumption analysis result corresponding to each single building; based on the campus renewable energy information, the resource utilization of each renewable energy is analyzed to obtain a third energy consumption analysis result corresponding to each renewable energy; at least one type of carbon emission source corresponding to the campus data is determined, and the carbon emission source of each type in the campus is calculated. The carbon emissions of the campus are calculated, and the corresponding carbon offset of the campus is calculated based on the campus data; the actual carbon emissions corresponding to the campus are determined based on the carbon emissions and the carbon offset; the carbon emissions of the campus are analyzed based on the carbon emissions, the carbon offset and the actual carbon emissions to obtain the carbon emission analysis results; the first energy consumption analysis result, the second energy consumption analysis result, the third energy consumption analysis result and the carbon emission analysis result are determined as the data analysis results of the zero-carbon transformation of the campus. Therefore, the energy consumption analysis results and the carbon emission analysis results can be fully combined to determine the object, goal and effect of the zero-carbon transformation, that is, the richness of data and the adequacy of data analysis in the process of zero-carbon transformation of the campus are improved, and further accurate and powerful support is provided for the formulation of the campus zero-carbon transformation plan, thereby improving the rationality of the campus zero-carbon transformation plan. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0029] In order to more clearly illustrate the embodiments of the present invention 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.

[0030] Figure 1 is a flow chart of a data analysis method based on campus zero-carbon transformation provided by an embodiment of the present disclosure;

[0031] Figure 2 is a flow chart of a resource utilization analysis method provided by an embodiment of the present disclosure;

[0032] Figure 3 is a flow chart of a renewable energy utilization analysis method provided by an embodiment of the present disclosure;

[0033] Figure 4 is a flow chart of a carbon emission accounting method provided by an embodiment of the present disclosure;

[0034] Figure 5 is a flow chart of a carbon emission analysis method provided by an embodiment of the present disclosure;

[0035] Figure 6 It is a structural schematic diagram of a data analysis device based on campus zero-carbon transformation provided by an embodiment of the present disclosure;

[0036] Figure 7 It is a structural schematic diagram of an electronic device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0037] In order to more clearly understand the above-mentioned objectives, features and advantages of the present disclosure, the scheme of the present disclosure will be further described below. It should be noted that the embodiments of the present disclosure and the features in the embodiments can be combined with each other without conflict.

[0038] In the following description, many specific details are set forth to facilitate a full understanding of the present disclosure, but the present disclosure may also be implemented in other ways different from those described herein; it is obvious that the embodiments in the specification are only part of the embodiments of the present disclosure, rather than all of the embodiments.

[0039] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this respect.

[0040] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0041] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0042] Generally speaking, in the process of zero-carbon transformation of campuses, a common method is to analyze carbon emission data and then guide the zero-carbon transformation of campuses based on the results of carbon emission analysis. However, there is a problem of incomplete data analysis, which makes it impossible to provide accurate and strong support for the zero-carbon transformation of campuses. In view of this problem, the embodiments of the present disclosure provide a data analysis method based on the zero-carbon transformation of campuses, which is introduced below in conjunction with specific embodiments.

[0043] Figure 1 It is a flow chart of a data analysis method based on campus zero-carbon transformation provided by an embodiment of the present disclosure. The method is applicable to the application scenario of campus zero-carbon transformation. The method can be executed by a data analysis device based on campus zero-carbon transformation. The data analysis device based on campus zero-carbon transformation can be implemented in software and / or hardware. The data analysis device based on campus zero-carbon transformation can be configured in an electronic device, such as a server or a terminal, wherein the terminal specifically includes a mobile phone, a computer or a tablet computer, etc.

[0044] like Figure 1 As shown, the data analysis method based on campus zero-carbon transformation provided in this embodiment includes the following steps.

[0045] S110. Obtain campus data, which includes basic campus information, campus landscape ecological information, basic campus building information, campus energy information, campus renewable energy information, and campus target carbon emission data.

[0046] In the disclosed embodiment, the campus data may be data obtained in advance through visits, surveys combined with map information, and data obtained from channels such as the official website of the campus and relevant departments of the campus.

[0047] The basic campus information may include the total number of campus students, the total campus area, the campus scale, the classification information of campus buildings, etc. Among them, the campus scale may include the total campus area, the total number of campus buildings, the heating area, the campus building density, the campus volume ratio, etc.

[0048] Campus landscape ecological information may include the vegetation types planted on campus, the planting area corresponding to each vegetation type, the proportion of each vegetation type, the campus greening rate, the campus greening rate, etc.

[0049] The basic information of campus buildings may include the architectural design information and building thermal information of each individual building, wherein the architectural design information may include the building name, building type, construction age, building area, number of floors, floor height and number of energy users of each individual building; the building thermal information may include the size coefficient, window-to-wall ratio, greening area, orientation, materials used in the external envelope structure of different parts, and structure of each individual building.

[0050] Campus energy information may include the first consumption of various first energy sources corresponding to the campus and the second consumption of various second energy sources corresponding to each single building, wherein each single building can be understood as an independent building, such as an independent building. Specifically, the usage of various first energy sources corresponding to the campus may include the information such as the purchased electricity (i.e. electricity consumption), purchased heat (including municipal heating), gas consumption, water consumption, gasoline consumption, diesel consumption, coal consumption, and the costs generated by the consumption of various energy resources corresponding to the campus within a preset period; the second consumption of various second energy sources corresponding to each single building may include the information such as the purchased electricity (electricity consumption), purchased heat, i.e. heat consumption, gas consumption, etc. corresponding to each single building within a preset period. Among them, the preset period can be monthly, quarterly, annual, etc., and can be set according to the specific situation, without limitation here.

[0051] Campus renewable energy information may include basic information of the campus renewable energy system and the capacity of the campus renewable energy system within a preset period, where the campus renewable energy system includes photovoltaic power generation system, solar thermal system and heat pump system, and the capacity includes photovoltaic power generation of photovoltaic power generation system, first heating capacity of solar thermal system and second heating capacity of heat pump system within a preset period. Basic information of campus renewable energy system may include equipment and installation information of each renewable energy system, etc.

[0052] Campus target carbon emission data may include purchased green electricity, carbon trading volume and amount, waste treatment data, off-campus research and travel carbon emission data, etc. Among them, waste treatment data include wet garbage volume, dry garbage volume, research waste volume, domestic waste water volume, etc. within the preset period; off-campus research and travel carbon emission data may include off-campus research base electricity consumption, faculty and staff travel (air) mileage, faculty and staff travel (high-speed rail) mileage, faculty and staff travel (self-driving) mileage, etc.

[0053] Specifically, in response to executing data analysis based on campus zero-carbon transformation, the electronic device can determine data identification information corresponding to the execution of zero-carbon transformation, and obtain campus data from a preset database based on the data identification information.

[0054] S120. Analyze the energy usage of the campus and each single building within a preset period based on the campus data to obtain a first energy consumption analysis result corresponding to the campus and a second energy consumption analysis result corresponding to each single building.

[0055] Specifically, after acquiring the campus data, the electronic device analyzes the energy usage of the campus and each individual building from the perspective of the campus and each individual building respectively according to the basic information of the campus, the basic information of the campus buildings and the campus energy information, and analyzes the energy usage of the campus and the individual buildings from the aspects of total energy consumption, energy usage level, energy usage change, energy usage structure, etc., and then obtains the first energy consumption analysis result corresponding to the campus and the second energy consumption analysis result corresponding to each individual building.

[0056] S130. Analyze the resource utilization of each renewable energy source based on the campus renewable energy information to obtain a third energy consumption analysis result corresponding to each renewable energy source.

[0057] Specifically, after acquiring the campus data, the electronic device analyzes the resource utilization of campus renewable energy based on the campus renewable energy information from the aspects of component parameter performance, energy production change trend, contribution rate to the campus, etc. of each campus renewable system corresponding to the campus renewable resources, and obtains the third energy consumption analysis result corresponding to each renewable energy.

[0058] S140. Determine at least one type of carbon emission source corresponding to the campus data, calculate the carbon emissions corresponding to each type of carbon emission source in the campus, and calculate the carbon offset corresponding to the campus based on the campus data.

[0059] In the embodiment of the present disclosure, the carbon offset amount can be understood as the emission reduction amount generated by emission reduction activities on campus to offset the emissions of other emission sources.

[0060] Specifically, after obtaining the campus data, the electronic device can determine the energy and consumption corresponding to each type of carbon emission source based on the different carbon emission sources in the campus data, and then calculate the carbon emissions of each carbon emission source. It can also calculate the campus's carbon offset based on the sources of carbon offset on campus, such as vegetation planting conditions, renewable energy systems, carbon trading volume, purchased green electricity, etc., to obtain the campus's carbon emissions and carbon offsets.

[0061] S150. Determine the actual carbon emissions corresponding to the campus based on the carbon emissions and the carbon offsets.

[0062] Specifically, after obtaining the carbon emissions corresponding to each type of carbon emission source on campus, the electronic device determines the sum of the carbon emissions corresponding to each type of carbon emission source on campus as the total carbon emissions corresponding to the campus, and deducts the carbon offset amount from the total carbon emissions corresponding to the campus to determine the actual carbon emissions corresponding to the campus.

[0063] S160. Analyze the carbon emissions of the campus based on the carbon emissions, carbon offsets and actual carbon emissions to obtain carbon emissions analysis results.

[0064] Specifically, after obtaining the carbon emissions, carbon offsets and actual carbon emissions corresponding to each type of carbon emission source on campus, the electronic equipment analyzes the changing trend of the campus's carbon emissions, unit area indicators, per capita carbon emissions indicators, carbon emission structure, and carbon emission reduction conditions, and then obtains the carbon emission analysis results.

[0065] S170. Determine the first energy consumption analysis result, the second energy consumption analysis result, the third energy consumption analysis result and the carbon emission analysis result as the data analysis results of the zero-carbon transformation of the campus.

[0066] Specifically, after the electronic equipment conducts energy consumption analysis and carbon emission analysis of the campus and each individual building based on the campus data, it determines the energy consumption analysis results and the carbon emission analysis results, namely the first energy consumption analysis result, the second energy consumption analysis result, the third energy consumption analysis result and the carbon emission analysis result, as the data analysis results of the campus zero-carbon transformation, and uses them in the process of formulating the campus zero-carbon transformation plan, providing strong data support for the formulation of the campus zero-carbon transformation plan.

[0067] It should be noted that there is no limitation on the execution order of step S120 , step S130 , and steps S140 - S160 , and step S120 , step S130 , and steps S140 - S160 may be executed simultaneously or in other orders.

[0068] In the disclosed embodiment, campus data can be obtained, and the campus data includes basic campus information, campus landscape ecological information, basic campus building information, campus energy information, campus renewable energy information, and campus target carbon emission data; based on the campus data, the energy usage of the campus and each single building within a preset period is analyzed to obtain a first energy consumption analysis result corresponding to the campus and a second energy consumption analysis result corresponding to each single building; based on the campus renewable energy information, the resource utilization of each renewable energy is analyzed to obtain a third energy consumption analysis result corresponding to each renewable energy; at least one type of carbon emission source corresponding to the campus data is determined, the carbon emissions corresponding to each type of carbon emission source in the campus are calculated, and based on the campus data Calculate the carbon offset amount corresponding to the campus; determine the actual carbon emissions corresponding to the campus based on the carbon emissions and the carbon offset amount; analyze the carbon emissions of the campus based on the carbon emissions, carbon offset amount and actual carbon emissions to obtain the carbon emission analysis results; determine the first energy consumption analysis result, the second energy consumption analysis result, the third energy consumption analysis result and the carbon emission analysis result as the data analysis results of the campus zero-carbon transformation, thereby fully combining the energy consumption analysis results and the carbon emission analysis results to determine the object, goal and effect of the zero-carbon transformation, that is, improve the richness of data and the adequacy of data analysis in the process of campus zero-carbon transformation, further provide accurate and powerful support for the formulation of the campus zero-carbon transformation plan, thereby improving the rationality of the campus zero-carbon transformation plan.

[0069] Figure 2 is a flow chart of a resource utilization analysis method provided by an embodiment of the present disclosure, such as Figure 2 As shown, the resource utilization of the campus can be analyzed from the perspectives of the campus and the individual buildings. For the campus perspective, steps S210-S270 are performed; for the individual building perspective, steps S280-S2050 are performed. The specific steps are as follows:

[0070] S210. For the campus, obtain first standard coal discount coefficients corresponding to various first energy sources corresponding to the campus.

[0071] In the embodiment of the present disclosure, the standard coal conversion coefficient refers to the proportional coefficient of converting various energy sources into standard coal according to their calorific value.

[0072] The usage of the first energy source may include the corresponding externally purchased electricity (i.e. electricity consumption), externally purchased heat (including municipal heating), gas consumption, gasoline consumption, diesel consumption, and coal consumption of the campus.

[0073] Specifically, after acquiring the campus data, the electronic device determines and calculates various first energy sources corresponding to the total energy consumption of the campus, and obtains the first standard coal discount coefficient corresponding to the first energy from a preset database according to the identification information of each first energy source.

[0074] S220. Calculate the total campus energy consumption corresponding to the campus within a preset period based on the first standard coal discount coefficient and the first consumption.

[0075] Specifically, after obtaining the first standard coal discount coefficient corresponding to the first energy, the electronic device determines the energy consumption of each first energy by multiplying the first standard coal discount coefficient corresponding to each first energy and the first consumption, and adds the energy consumption of multiple first energies to obtain the total energy consumption of the campus.

[0076] S230. Calculate a first per capita index and a first unit building area index corresponding to the campus based on the first consumption, the total area of ​​the campus, and the total number of people on campus.

[0077] Among them, the first per capita indicator and the first unit building area indicator are used to evaluate the energy consumption level of the campus.

[0078] Specifically, after obtaining the first consumption, the electronic device determines the ratio of the first consumption to the total area of ​​the campus as the first unit building area indicator for each first energy, and determines the ratio of the first consumption to the total number of people on campus as the first per capita indicator for each first energy.

[0079] S240, analyzing the changing trends of the total campus energy consumption, the first consumption, the first per capita index, and the first unit building area index to obtain a first trend analysis result.

[0080] Specifically, after obtaining the total campus energy consumption, the first consumption, the first per capita index and the first unit building area index within a preset period, the electronic device analyzes the change trend of the total campus energy consumption based on the historical campus total consumption, analyzes the change trend of the first consumption based on the historical consumption of various first energy sources, and respectively calculates the year-on-year, month-on-month and month-on-year changes of the total campus energy consumption, the first consumption, the first per capita index and the first unit building area index, so as to quantitatively analyze the change trend of the total campus energy consumption, the first consumption, the first per capita index and the first unit building area index, and then obtain the first trend analysis result. Therefore, the energy consumption law of the campus is determined according to the first trend analysis result, and it is judged whether the energy consumption is reasonable.

[0081] S250. Calculate first proportions of various first energy sources based on the first consumption and the total energy consumption of the campus, and obtain a first energy consumption structure corresponding to the campus based on the first proportions.

[0082] Specifically, after determining the total energy consumption of the campus and the first consumption corresponding to the first energy, the electronic equipment converts the first consumption of each first energy into standard coal amount, and determines the ratio of it to the total energy consumption of the campus as the first proportion of each first energy, and then determines the energy consumption structure of the campus to obtain the first energy consumption structure.

[0083] Furthermore, after obtaining the first energy usage structure, the electronic device may display the first energy usage structure in the form of a chart.

[0084] S260. Calculate the first per capita total energy consumption, the first unit area total energy consumption and the per capita water consumption corresponding to the campus based on the total energy consumption of the campus, and compare the first per capita total energy consumption, the first unit area total energy consumption and the per capita water consumption with their corresponding first reference values, to obtain a first comparison result.

[0085] Specifically, after obtaining the total energy consumption of the campus, the electronic equipment determines the ratio of the total energy consumption of the campus to the total number of people on campus as the first per capita total energy consumption, determines the ratio of the total energy consumption of the campus to the total area of ​​the campus as the first total energy consumption per unit area, and determines the ratio of the corresponding water consumption of the campus to the total number of people on campus as the per capita water consumption. At the same time, a reference value for evaluating campus resource indicators is obtained from a preset database, and the first per capita total energy consumption, the first unit area total energy consumption and the per capita water consumption are compared with their corresponding first reference values ​​respectively to obtain a first comparison result, so as to determine whether the energy consumption level of the campus exceeds the reference value through the first comparison result. When it exceeds the first reference value, the transformation object and direction are determined based on the proportion exceeding the first reference value.

[0086] S270. Determine the total campus energy consumption, the first per capita index, the first unit building area index, the first trend analysis result, the first energy consumption structure and the first comparison result as the first energy consumption analysis result.

[0087] S280. For each single building, obtain the second standard coal discount coefficients corresponding to various second energy sources corresponding to the single building.

[0088] In the disclosed embodiment, the usage of the second energy source may include the purchased electricity (i.e., electricity consumption) corresponding to the single building, the purchased heat (which may include municipal heating), and the gas usage.

[0089] Specifically, after acquiring the campus data, the electronic device determines and calculates various second energy sources corresponding to the total energy consumption of each single building, and obtains the first standard coal discount coefficient corresponding to the first energy from a preset database according to the identification information of each second energy source.

[0090] S290. Calculate the total energy consumption of each single building corresponding to each single building within a preset period based on the second standard coal discount coefficient and the second consumption.

[0091] Specifically, after obtaining the second standard coal equivalent coefficient corresponding to the second energy, the electronic device determines the energy consumption of each second energy by multiplying the second standard coal equivalent coefficient corresponding to each second energy by the second consumption, and adds up the energy consumption of multiple second energy sources to obtain the total energy consumption of each single building.

[0092] The specific formula for calculating total energy consumption (including total campus energy consumption and total energy consumption of individual buildings) is as follows:

[0093]

[0094] Where, E is the total energy consumption; E i is the consumption of the i-th energy; K i is the standard coal conversion coefficient of the i-th energy source.

[0095] S2010. Calculate the second per capita index and the second unit building area index corresponding to the single building based on the second consumption, the building area of ​​the single building and the number of energy users, and calculate the second per capita total energy consumption and the second unit area total energy consumption corresponding to the single building based on the total energy consumption of the single building.

[0096] Among them, the second per capita indicator and the second unit building area indicator are used to evaluate the energy consumption level of individual buildings.

[0097] Specifically, after obtaining the second consumption, the electronic device determines the ratio of the second consumption to the building area of ​​the single building as the second unit building area indicator for each second energy, and determines the ratio of the second consumption to the number of energy users in the single building as the second per capita indicator for each second energy. At the same time, the ratio of the total energy consumption of the single building to the building area of ​​the single building is determined as the second total energy consumption per unit area corresponding to the single building, and the ratio of the total energy consumption of the single building to the number of energy users in the single building is determined as the second total energy consumption per capita corresponding to the single building.

[0098] The specific formulas for calculating the per capita index (including the first per capita index and the second per capita index) and the unit building area index (including the first unit building area index and the second unit building area index) are as follows:

[0099]

[0100] Among them, E A is a per capita indicator; E P E is the unit building area indicator; i is the consumption of the i-th energy; A n is the number of energy users (i.e. the total number of campus users or the number of energy users in a single building as mentioned above); P n It is the building area (i.e. the total campus area or the building area of ​​a single building mentioned above).

[0101] S2020. Analyze the changing trends of the total energy consumption of individual buildings, the second consumption, the second per capita index, and the second unit building area index to obtain a second trend analysis result.

[0102] Specifically, after obtaining the total energy consumption of each building, the second consumption, the second per capita index and the second unit building area index of each building within a preset period, the electronic device analyzes the change trend of the total energy consumption of each building based on the historical total energy consumption of each building, analyzes the change trend of the second consumption based on the historical consumption of various second energy sources, and calculates the year-on-year, month-on-month and month-on-month changes of the total energy consumption, the second consumption, the second per capita index and the second unit building area index of the building respectively, and can also analyze the change trend of the second per capita total energy consumption and the second unit area total energy consumption, so as to quantitatively analyze the change trend of the total energy consumption, the second consumption, the second per capita index and the second unit building area index of the building, and then obtain the second trend analysis result. Therefore, the energy consumption law of each building is determined according to the second trend analysis result, and it is judged whether the energy consumption is reasonable.

[0103] S2030. Calculate second proportions of various second energy sources based on the second consumption and the total energy consumption of the single building, and obtain a second energy consumption structure corresponding to each single building based on the second proportions.

[0104] Specifically, after determining the total energy consumption of a single building and the second consumption corresponding to the second energy, the electronic equipment converts the second consumption of each second energy into standard coal amount, and determines the ratio of the second consumption to the total energy consumption of the single building as the second proportion of each second energy, and then determines the energy consumption structure of the single building to obtain the second energy consumption structure.

[0105] Furthermore, after obtaining the second energy usage structure, the electronic device may display the second energy usage structure in the form of a chart.

[0106] S2040, determining the electricity consumption per unit area and the heating energy consumption per unit area corresponding to the single building, and comparing the electricity consumption per unit area and the heating energy consumption per unit area with their corresponding second reference values, respectively, to obtain a second comparison result.

[0107] Specifically, the electronic device determines the electricity consumption per unit area and the heating energy consumption per unit area corresponding to the single building, and obtains second reference values ​​corresponding to the electricity consumption per unit area and the heating energy consumption per unit area from a preset database, compares the electricity consumption per unit area and the heating energy consumption per unit area with their corresponding second reference values, and obtains a second comparison result, so as to determine whether the energy consumption level of the single building exceeds the reference value through the second comparison result, and when it exceeds the second reference value, determines the transformation object and direction based on the proportion exceeding the second reference value.

[0108] S2050. Determine the total energy consumption of the single building, the second per capita index, the second unit building area index, the second trend analysis result, the second energy consumption structure and the second comparison result as the second energy consumption analysis result.

[0109] In the disclosed embodiment, the total energy consumption of the campus and individual buildings, unit area indicators, per capita indicators, changing trends of energy consumption, and comparison results with reference values ​​can be analyzed to obtain energy consumption analysis results of the campus and individual buildings, further improving the comprehensiveness, rationality and accuracy of the energy consumption analysis.

[0110] In the disclosed embodiment, the energy consumption analysis result corresponding to the renewable energy can be obtained by analyzing the utilization of the renewable energy. Figure 3 is a flow chart of a renewable energy utilization analysis method provided by an embodiment of the present disclosure, such as Figure 3 As shown, the resource utilization of each renewable energy source is analyzed based on the campus renewable energy information to obtain a third energy consumption analysis result corresponding to each renewable energy source, which may specifically include the following steps:

[0111] S310. Analyze the component parameter performance of the campus renewable energy system based on the basic information of the campus renewable energy system to obtain a system performance analysis result.

[0112] Specifically, the electronic device can obtain basic information about the campus renewable energy system from the campus renewable energy information in the campus data, and analyze the component parameter performance of each renewable energy system based on the layout scale, type and combination method of each renewable energy system to determine the performance level of each renewable energy system, that is, determine whether the performance of each renewable energy system meets the requirements, and then confirm whether to upgrade and optimize the system based on whether the performance of each renewable energy system meets the requirements, such as expanding the installation area, updating the equipment, etc.

[0113] S320, analyzing the changing trends of the photovoltaic power generation, the first heating amount, and the second heating amount respectively to obtain a third trend analysis result.

[0114] Specifically, the electronic device determines the production capacity trend and periodic law of each renewable energy system according to the photovoltaic power generation of the photovoltaic power generation system, the first heating capacity of the solar thermal system and the second heating capacity of the heat pump system within a preset period, and determines whether there is an unreasonable production capacity, and calculates the year-on-year, month-on-month and month-on-year corresponding to the photovoltaic power generation, the first heating capacity and the second heating capacity, respectively, and obtains the analysis results by performing quantitative analysis on the year-on-year, month-on-month and month-on-year corresponding to the photovoltaic power generation, the first heating capacity and the second heating capacity, and then determines the third trend analysis result.

[0115] S330. Calculate the total contribution rate of the campus renewable energy system based on the photovoltaic power generation, the first heating capacity and the second heating capacity, as well as the system contribution rates of the photovoltaic power generation system, the solar thermal system and the heat pump system respectively.

[0116] In the disclosed embodiment, the total contribution rate of the campus renewable energy system may be understood as the contribution rate of all campus renewable energy systems to campus energy consumption.

[0117] Specifically, the specific formula for calculating the total contribution rate of the campus renewable energy system is as follows:

[0118]

[0119] Among them, C R is the total contribution rate; E PV 、E PT 、E HP They are photovoltaic power generation, first heating capacity and second heating capacity respectively; E 校园 is the total energy consumption of the campus.

[0120] The specific formulas for calculating the system contribution rates of photovoltaic power generation system, solar thermal system and heat pump system are as follows:

[0121]

[0122] Among them, C PV , C PT , C HP are the system contribution rates of photovoltaic power generation system, solar thermal system and heat pump system respectively; E PV 、E PT 、E HP They are photovoltaic power generation, first heating capacity and second heating capacity respectively; E 校园 is the total energy consumption of the campus.

[0123] S340, calculating a first standard coal saving amount corresponding to the photovoltaic power generation system and a second standard coal saving amount corresponding to the solar thermal system based on the photovoltaic power generation amount and the first heating amount.

[0124] Specifically, the specific formula for calculating the first standard coal saving amount and the second standard coal saving amount is as follows:

[0125] C 标准煤量 =E 光伏 ×0.3

[0126]

[0127] Among them, C 标准煤量 The first is to save the amount of standard coal (i.e. the amount of standard coal saved by the photovoltaic power generation system); E 光伏 The photovoltaic power generation for campus use; Q tr The second standard coal saving (i.e. the standard coal saving of the solar thermal system); Q njis the annual heat gain of the solar thermal system (GJ). In this formula, 9.09×10 -3 That is, through the standard coal calorific value q and the operating efficiency η when using traditional energy as the heat source t The value of q is 29.307×10 -3 GJ / kgce, η t The value of is 0.31.

[0128] S350. Determine the system performance analysis result, the total contribution rate, the system contribution rate, the first standard coal saving amount and the second standard coal saving amount as the third energy consumption analysis result.

[0129] In the disclosed embodiment, the utilization of renewable energy on campus can be analyzed to determine the application level of the renewable energy system on campus. If the application level is low, the use area of ​​the renewable energy system can be expanded to provide a basis for the zero-carbon transformation plan.

[0130] In the disclosed embodiment, the carbon emissions of the campus are calculated based on the campus data, and the carbon emissions of the campus are further analyzed based on the calculation results.

[0131] Figure 4 is a flow chart of a carbon emission accounting method provided by an embodiment of the present disclosure, such as Figure 4 As shown, determining at least one type of carbon emission source corresponding to the campus data and calculating the carbon emissions corresponding to each type of carbon emission source in the campus may specifically include the following steps:

[0132] S410. Determine at least one type of carbon emission source corresponding to the campus data, calculate the carbon emissions corresponding to each type of carbon emission source in the campus, and determine the sum of the carbon emissions corresponding to each type of carbon emission source as the total carbon emissions corresponding to the campus.

[0133] Specifically, the electronic device will determine at least one type of carbon emission source based on campus data, and calculate the carbon emissions corresponding to each type of carbon emission source based on the energy consumption and carbon emission factor corresponding to each type of carbon emission source.

[0134] Among them, when the source of carbon emissions is direct carbon emissions, the third consumption corresponding to at least one third energy source and the first carbon emission factor corresponding to each third energy source are determined; the first carbon emissions are calculated based on the third consumption and the first carbon emission factor.

[0135] When the source of carbon emissions is direct carbon emissions, the third consumption corresponding to the third energy mainly includes the consumption of gas, diesel, coal, fuel oil and other fuels.

[0136] The first carbon emission factor may be pre-acquired and stored in a preset database.

[0137] In the embodiment of the present disclosure, the carbon emission factor calculation formula of fossil fuels, namely gas, diesel, coal, and fuel oil, is as follows:

[0138]

[0139] Among them, EF m is the carbon emission factor of fossil fuel m; NCV m is the average lower heating value of fossil fuel m; CC m is the carbon content per unit calorific value of fossil fuel m; OF m is the carbon oxidation rate of fossil fuel m.

[0140] Specifically, when the source of carbon emissions of the electronic device is direct carbon emissions, the third consumption of the third energy corresponding to the direct carbon emissions and the first carbon emission factor corresponding to the third energy are obtained, and the sum of the products of the third consumption of various third energy and the corresponding first carbon emission factors is determined as the first carbon emissions.

[0141] When the carbon emission source is indirect carbon emission and is of the first emission type, determine the fourth consumption corresponding to at least one fourth energy source and the second carbon emission factor corresponding to each fourth energy source; calculate the second carbon emission based on the fourth consumption and the second carbon emission factor.

[0142] When the source of carbon emissions is indirect carbon emissions and is the first emission type, the fourth consumption corresponding to the fourth energy source mainly includes the campus's purchased electricity, purchased heat, water consumption and waste treatment volume. Among them, the waste treatment volume can include wet garbage volume, dry garbage volume, scientific research waste volume and domestic waste water volume, etc.

[0143] Specifically, when the carbon emission source of the electronic device is indirect carbon emissions and is of the first emission type, the fourth consumption corresponding to the fourth energy corresponding to the carbon emission source and the second carbon emission factor corresponding to each fourth energy are obtained, and the sum of the products of the fourth consumption of various fourth energy and the corresponding second carbon emission factors is determined as the second carbon emissions.

[0144] When the source of carbon emissions is indirect carbon emissions and is the second emission type, determine the fifth consumption corresponding to at least one fifth energy source and the third carbon emission factor corresponding to each fifth energy source; calculate the third carbon emissions based on the fifth consumption and the third carbon emission factor.

[0145] When the source of carbon emissions is indirect carbon emissions and is the second emission type, the fifth consumption corresponding to the fifth energy mainly includes electricity consumption of off-campus scientific research bases and travel mileage of faculty and staff.

[0146] Specifically, when the carbon emission source of the electronic device is indirect carbon emissions and is of the second emission type, the electronic device obtains the fifth consumption corresponding to the fifth energy corresponding to the carbon emission source and the third carbon emission factor corresponding to each fifth energy, and determines the sum of the products of the fifth consumption of various fifth energy and the corresponding third carbon emission factors as the third carbon emissions.

[0147] Furthermore, the sum of the first carbon emissions, the second carbon emissions and the third carbon emissions is determined as the total carbon emissions corresponding to the campus.

[0148] S420. Obtain the carbon sequestration factor corresponding to each vegetation type; for each vegetation type, calculate the first product of the planting area and the carbon sequestration factor, and determine the first product as the target carbon offset corresponding to the vegetation type; determine the sum of the target carbon offset corresponding to each vegetation type as the first carbon offset corresponding to the campus.

[0149] S430. Obtain the carbon trading volume, purchased green electricity, and the fourth carbon emission factor corresponding to the purchased green electricity contained in the campus data; calculate the second product of the purchased green electricity and the fourth carbon emission factor, and determine the second product and the carbon trading volume as the second carbon offset amount corresponding to the campus.

[0150] S440. Determine the third carbon offset amount corresponding to the campus based on the photovoltaic power generation of the photovoltaic power generation system included in the campus data.

[0151] Specifically, the electronic device obtains the carbon emission factor corresponding to the photovoltaic power generation, and determines the product of the photovoltaic power generation and the carbon emission factor corresponding to the photovoltaic power generation as the third carbon offset amount.

[0152] S450. Determine the sum of the first carbon offset amount, the second carbon offset amount, and the third carbon offset amount as the carbon offset amount corresponding to the campus.

[0153] S460. Determine the difference between the total carbon emissions and the carbon offset as the actual carbon emissions corresponding to the campus.

[0154] In the embodiments of the present disclosure, when performing carbon emission accounting, different types of carbon emission sources on campus can be taken into account, and the carbon emissions of each type of carbon emission source can be calculated. In addition, the carbon offset amount of the campus can be determined based on the vegetation conditions of the campus, the power generation of the photovoltaic power generation system, the carbon trading volume, and the amount of purchased green electricity, so as to determine the actual carbon emissions of the campus, thereby improving the accuracy of carbon emission accounting.

[0155] After calculating the carbon emissions, further analysis is performed on the carbon emissions to determine the carbon emissions analysis results.

[0156] Figure 5is a flow chart of a carbon emission analysis method provided by an embodiment of the present disclosure, such as Figure 5 As shown, the carbon emissions of the campus are analyzed based on the carbon emissions, carbon offsets and actual carbon emissions to obtain the carbon emissions analysis results, which may specifically include the following steps:

[0157] S510. Calculate the carbon emissions per unit area of ​​the campus based on the total campus area and actual carbon emissions in the campus data.

[0158] Specifically, after obtaining the actual carbon emissions, the electronic device determines the ratio of the actual carbon emissions to the total area of ​​the campus as the carbon emissions per unit area of ​​the campus.

[0159] The specific calculation formula is as follows:

[0160]

[0161] Among them, C M is the carbon emission of campus area; C 校园 is the actual carbon emissions of the campus; P1 is the total area of ​​the campus.

[0162] S520. Calculate the campus per capita carbon emissions based on the total number of campus students and actual carbon emissions in the campus data.

[0163] Specifically, after obtaining the actual carbon emissions, the electronic device determines the ratio of the actual carbon emissions to the total number of people on campus as the per capita carbon emissions on campus.

[0164] The specific calculation formula is as follows:

[0165]

[0166] Among them, C P is the campus’s per capita carbon emissions; C 校园 is the actual carbon emissions of the campus; A1 is the total number of students on campus.

[0167] S530, calculate the campus carbon reduction rate and the target carbon emissions corresponding to various energy sources on campus, and based on the carbon emissions and the target carbon emissions, calculate the carbon emission proportions corresponding to various energy sources.

[0168] Specifically, the electronic device calculates the campus carbon reduction rate based on the actual carbon emissions of the campus within the preset period of the design year (i.e. the year in which the carbon emissions analysis is conducted) and the actual carbon emissions within the preset period of the base year. And the target carbon emissions corresponding to each energy source are calculated based on the consumption of each energy source and the corresponding carbon emission factor, and the total carbon emissions are determined based on the carbon emissions corresponding to each carbon emission source. After calculating the target carbon emissions, the ratio of the target carbon emissions to the total carbon emissions of the campus is determined as the carbon emissions proportion corresponding to various energy sources.

[0169] The calculation formula for campus carbon reduction rate is as follows:

[0170]

[0171] Among them, R CC Reduce the carbon rate of the campus; C rd The actual carbon emissions during the preset period of the base year; C dd It is the actual carbon emissions of the campus within the preset period of the design year.

[0172] S540. Analyze the changing trends of carbon emissions, carbon emissions per unit area of ​​campus, and carbon emissions per capita of campus to obtain a fourth trend analysis result.

[0173] Specifically, after obtaining the carbon emissions per unit area of ​​the campus and the carbon emissions per capita on campus, the electronic equipment calculates the year-on-year, month-on-month and month-on-year corresponding carbon emissions, total carbon emissions, carbon emissions per unit area of ​​the campus and carbon emissions per capita on campus, respectively, and conducts trend analysis on carbon emissions and evaluation indicators based on the year-on-year, month-on-month and month-on-year results to obtain the fourth trend analysis results, and then judges the campus carbon emission level based on the fourth trend analysis results, so as to guide the formulation of the campus zero-carbon transformation plan.

[0174] S550. Determine the carbon emission structure of the campus based on the first carbon emission, the second carbon emission, the third carbon emission and the total carbon emission.

[0175] Specifically, the electronic equipment calculates the ratios of the first carbon emissions, the second carbon emissions, the third carbon emissions to the total carbon emissions, respectively, and determines the ratios as the proportions of the first carbon emissions, the second carbon emissions, and the third carbon emissions in the total carbon emissions, thereby determining the carbon emission structure of the campus.

[0176] The calculation formula is as follows:

[0177]

[0178] Among them, R scope1 , R scope2 , R scope3 are the proportions of the first carbon emissions, the second carbon emissions, and the third carbon emissions (i.e. the proportions of different types of carbon emissions sources in the total carbon emissions); C scope1 , C scope2 , C scope3 They are the first carbon emissions, the second carbon emissions, and the third carbon emissions respectively.

[0179] S560. Calculate the ecological carbon sink contribution rate of each vegetation type based on the carbon sink factor and planting area corresponding to each vegetation type in the campus data.

[0180] Specifically, the specific formula for calculating the ecological carbon sink contribution rate corresponding to each type of vegetation is as follows:

[0181]

[0182] Among them, C 碳汇 represents the ecological carbon sink contribution rate of the sth type of vegetation; A s is the planting area of ​​the sth type of vegetation; EF s is the carbon sink factor of the sth type of vegetation.

[0183] S570. Calculate the carbon emission reduction contribution rate based on the carbon emissions, the second carbon offset amount, and the third carbon offset amount.

[0184] Specifically, the electronic device calculates the total carbon emissions based on the carbon emissions, and determines the carbon emission reduction contribution rate based on the carbon offset corresponding to the purchased green electricity in the second carbon offset and the carbon offset corresponding to the renewable energy system, that is, the third carbon offset corresponding to the photovoltaic power generation system.

[0185] The calculation formula for carbon emission reduction contribution rate is as follows:

[0186]

[0187] Among them, C REC is the contribution rate to carbon emission reduction; C1 is the carbon offset corresponding to purchased green electricity in the second carbon offset; C2 is the carbon offset corresponding to the renewable energy system, that is, the third carbon offset corresponding to the photovoltaic power generation system.

[0188] S580. The carbon emissions per unit area of ​​campus, the per capita carbon emissions on campus, the proportion of carbon emissions, the fourth trend analysis results, the carbon emission structure, the ecological carbon sink contribution rate and the carbon emission reduction contribution rate are determined as the carbon emission analysis results.

[0189] In the disclosed embodiments, carbon emissions analysis can be performed from multiple aspects such as carbon emissions per unit area of ​​campus, per capita carbon emissions on campus, carbon reduction rate of campus, proportion of carbon emissions corresponding to various energy sources, carbon emission changing trends, carbon emission structure, ecological carbon sink contribution rate, carbon emission reduction contribution rate, etc., thereby improving the comprehensiveness and rationality of carbon emissions analysis.

[0190] In the disclosed embodiment, the campus data includes the target province where the campus is located and the electricity transfer between the target province and other provinces. The data analysis method based on the zero-carbon transformation of the campus may also include: when there is electricity transfer between the target province and other provinces, adjusting the carbon emission factor corresponding to the campus's electricity consumption to obtain an adjusted carbon emission factor.

[0191] The adjustment formula for the carbon emission factor corresponding to electricity consumption is as follows:

[0192]

[0193] Among them, EF grid,i is the adjusted carbon emission factor corresponding to electricity consumption; C grid,i is the carbon emissions from thermal power generation in province or city i; E grid,i is the thermal power generation capacity at the provincial and municipal level; E imp,j,i E is the net electricity transferred from province j to province i; grid,rec is the renewable energy power generation at the provincial and municipal level; EF grid,j is the average carbon emission factor of electricity at the provincial and municipal level in j.

[0194] Furthermore, calculating the target carbon emissions corresponding to various energy sources on campus may include: calculating the target carbon emissions corresponding to the campus' electricity consumption based on the adjusted carbon emission factor.

[0195] In the embodiment of the present disclosure, the accuracy of the calculated target carbon emissions is improved by adjusting the carbon emission factor of electricity consumption according to actual conditions.

[0196] In the disclosed embodiments, based on the energy resource analysis results, taking into account the changing trends, evaluation indicators, energy consumption structure and comparison results of total energy consumption and various types of energy resources, it is analyzed whether the campus energy consumption structure is reasonable, whether the campus energy consumption level is normal, and whether the campus has energy-saving potential; based on the carbon emission accounting and analysis results, taking into account the changing trends, carbon emission structure and evaluation indicators of carbon emissions, it is analyzed whether the campus carbon emission structure is reasonable, whether there are abnormal and excessive carbon emissions, the emission reduction potential is analyzed, emission reduction targets are found, and emission reduction plans are formulated; the campus renewable energy system and the output of the renewable energy system are analyzed, and it is analyzed whether the system can be updated and expanded; the collected basic information of the campus and buildings is analyzed to determine the optimization and upgrading potential of the building maintenance structure and equipment system, and to determine the campus renewable energy carbon reduction and ecological carbon reduction potential; based on the above analysis and the specific conditions of the campus, a reasonable and targeted campus zero-carbon transformation plan is formulated.

[0197] Figure 6 It is a structural schematic diagram of a data analysis device based on campus zero-carbon transformation provided by an embodiment of the present disclosure.

[0198] In the disclosed embodiment, the data analysis device based on campus zero-carbon transformation can be set in an electronic device, which is understood as a part of the functional modules in the above electronic device. Specifically, the electronic device can be a server or a terminal, wherein the terminal specifically includes a mobile phone, a computer or a tablet computer, etc., which is not limited here.

[0199] like Figure 6As shown, the data analysis device 600 based on campus zero-carbon transformation may include an information acquisition module 610, a first energy consumption analysis module 620, a second energy consumption analysis module 630, a carbon emission calculation module 640, an actual carbon emission calculation module 650, a carbon emission analysis module 660 and an analysis result determination module 670.

[0200] The information acquisition module 610 can be used to acquire campus data, which includes basic campus information, campus landscape ecological information, basic campus building information, campus energy information, campus renewable energy information, and campus target carbon emission data.

[0201] The first energy consumption analysis module 620 can be used to analyze the energy usage of the campus and each single building within a preset period based on campus data, and obtain a first energy consumption analysis result corresponding to the campus and a second energy consumption analysis result corresponding to each single building.

[0202] The second energy consumption analysis module 630 can be used to analyze the resource utilization of each renewable energy source based on the campus renewable energy information to obtain a third energy consumption analysis result corresponding to each renewable energy source.

[0203] The carbon emission calculation module 640 can be used to determine at least one type of carbon emission source corresponding to the campus data, calculate the carbon emissions corresponding to each type of carbon emission source in the campus, and calculate the carbon offset corresponding to the campus based on the campus data.

[0204] The actual carbon emission calculation module 650 may be used to determine the actual carbon emission corresponding to the campus based on the carbon emission and the carbon offset.

[0205] The carbon emission analysis module 660 can be used to analyze the carbon emission situation of the campus based on the carbon emission, carbon offset and actual carbon emission to obtain the carbon emission analysis results.

[0206] The analysis result determination module 670 can be used to determine the first energy consumption analysis result, the second energy consumption analysis result, the third energy consumption analysis result and the carbon emission analysis result as the data analysis results of the campus zero-carbon transformation.

[0207] In the disclosed embodiment, campus data can be obtained, and the campus data includes basic campus information, campus landscape ecological information, basic campus building information, campus energy information, campus renewable energy information, and campus target carbon emission data; based on the campus data, the energy usage of the campus and each single building within a preset period is analyzed to obtain a first energy consumption analysis result corresponding to the campus and a second energy consumption analysis result corresponding to each single building; based on the campus renewable energy information, the resource utilization of each renewable energy is analyzed to obtain a third energy consumption analysis result corresponding to each renewable energy; at least one type of carbon emission source corresponding to the campus data is determined, the carbon emissions corresponding to each type of carbon emission source in the campus are calculated, and based on the campus data Calculate the carbon offset amount corresponding to the campus; determine the actual carbon emissions corresponding to the campus based on the carbon emissions and the carbon offset amount; analyze the carbon emissions of the campus based on the carbon emissions, carbon offset amount and actual carbon emissions to obtain the carbon emission analysis results; determine the first energy consumption analysis result, the second energy consumption analysis result, the third energy consumption analysis result and the carbon emission analysis result as the data analysis results of the campus zero-carbon transformation, thereby fully combining the energy consumption analysis results and the carbon emission analysis results to determine the object, goal and effect of the zero-carbon transformation, that is, improve the richness of data and the adequacy of data analysis in the process of campus zero-carbon transformation, further provide accurate and powerful support for the formulation of the campus zero-carbon transformation plan, thereby improving the rationality of the campus zero-carbon transformation plan.

[0208] In some embodiments of the present disclosure, the basic information of the campus includes the total number of students on campus and the total area of ​​the campus, the basic information of the campus buildings includes the building area of ​​each individual building and the number of energy users, and the campus energy information includes the first consumption of various first energy sources corresponding to the campus and the second consumption of various second energy sources corresponding to each individual building.

[0209] In some embodiments of the present disclosure, the first energy consumption analysis module 620 may be specifically used to obtain first standard coal discount coefficients corresponding to various first energy sources respectively;

[0210] Calculate the total campus energy consumption corresponding to the campus within a preset period based on the first standard coal discount coefficient and the first consumption;

[0211] Calculate the first per capita index and the first unit building area index corresponding to the campus based on the first consumption, the total campus area and the total number of campus people;

[0212] Analyze the changing trends of the campus total energy consumption, the first consumption, the first per capita index and the first unit building area index to obtain the first trend analysis results;

[0213] Calculate first proportions of various first energy sources based on the first consumption and the total energy consumption of the campus, and obtain a first energy consumption structure corresponding to the campus based on the first proportions;

[0214] Calculate the first per capita total energy consumption, the first unit area total energy consumption and the per capita water consumption corresponding to the campus based on the total energy consumption of the campus, and compare the first per capita total energy consumption, the first unit area total energy consumption and the per capita water consumption with their corresponding first reference values, respectively, to obtain a first comparison result;

[0215] The total campus energy consumption, the first per capita indicator, the first unit building area indicator, the first trend analysis result, the first energy consumption structure and the first comparison result are determined as the first energy consumption analysis result.

[0216] In some embodiments of the present disclosure, the first energy consumption analysis module 620 may also be specifically used to obtain the second standard coal discount coefficients corresponding to various second energy sources;

[0217] Calculate the total energy consumption of each single building corresponding to each single building within a preset period based on the second standard coal discount coefficient and the second consumption;

[0218] Calculate the second per capita index and the second unit building area index corresponding to the single building based on the second consumption, the building area and the number of energy users of the single building, and calculate the second per capita total energy consumption and the second unit area total energy consumption corresponding to the single building based on the total energy consumption of the single building;

[0219] Analyze the change trends of the total energy consumption, the second consumption, the second per capita index and the second unit building area index of the single building to obtain the second trend analysis results;

[0220] Calculate the second proportion of various second energy sources based on the second consumption and the total energy consumption of the single building, and obtain the second energy consumption structure corresponding to each single building based on the second proportion;

[0221] Determine the power consumption per unit area and the heating energy consumption per unit area corresponding to the single building, and compare the power consumption per unit area and the heating energy consumption per unit area with their corresponding second reference values, respectively, to obtain a second comparison result;

[0222] The total energy consumption of the single building, the second per capita index, the second unit building area index, the second trend analysis result, the second energy consumption structure and the second comparison result are determined as the second energy consumption analysis result.

[0223] In some embodiments of the present disclosure, campus renewable energy information includes basic information of the campus renewable energy system and the production capacity of the campus renewable energy system within the preset period, wherein the campus renewable energy system includes a photovoltaic power generation system, a solar thermal system and a heat pump system, and the production capacity includes the photovoltaic power generation of the photovoltaic power generation system, the first heating capacity of the solar thermal system and the second heating capacity of the heat pump system within the preset period.

[0224] The second energy consumption analysis module 630 may be specifically used to analyze the component parameter performance of the campus renewable energy system based on the basic information of the campus renewable energy system to obtain the system performance analysis result;

[0225] Analyze the change trends of photovoltaic power generation, the first heating capacity, and the second heating capacity respectively, and obtain the third trend analysis result;

[0226] Calculate the total contribution rate of the campus renewable energy system based on photovoltaic power generation, primary heating capacity and secondary heating capacity, as well as the system contribution rates of the photovoltaic power generation system, solar thermal system and heat pump system respectively;

[0227] Calculate a first standard coal saving amount corresponding to the photovoltaic power generation system and a second standard coal saving amount corresponding to the solar thermal system based on the photovoltaic power generation amount and the first heating amount;

[0228] The system performance analysis result, the total contribution rate, the system contribution rate, the first standard coal saving amount and the second standard coal saving amount are determined as the third energy consumption analysis result.

[0229] In some embodiments of the present disclosure, the carbon emission calculation module 640 may be specifically used to determine, when the carbon emission source is direct carbon emission, a third consumption amount corresponding to at least one third energy source corresponding thereto and a first carbon emission factor corresponding to each third energy source;

[0230] calculating a first carbon emission amount based on a third consumption amount and a first carbon emission factor;

[0231] When the carbon emission source is indirect carbon emission and is of the first emission type, determining a fourth consumption amount corresponding to at least one fourth energy source and a second carbon emission factor corresponding to each fourth energy source;

[0232] calculating a second carbon emission amount based on the fourth consumption amount and the second carbon emission factor;

[0233] When the carbon emission source is indirect carbon emission and is of the second emission type, determining the fifth consumption corresponding to at least one fifth energy source and the third carbon emission factor corresponding to each fifth energy source;

[0234] Calculate the third carbon emission based on the fifth consumption and the third carbon emission factor;

[0235] The sum of the first carbon emissions, the second carbon emissions, and the third carbon emissions is determined as the total carbon emissions corresponding to the campus.

[0236] In some embodiments of the present disclosure, campus landscape ecological information includes the types of vegetation planted on campus and the planting area corresponding to each vegetation type.

[0237] The carbon emission calculation module 640 can also be used to obtain the carbon fixation factor corresponding to each vegetation type;

[0238] For each vegetation type, calculate the first product of the planting area and the carbon sequestration factor, and determine the first product as the target carbon offset amount corresponding to the vegetation type;

[0239] The sum of the target carbon offset amounts corresponding to each vegetation type is determined as the first carbon offset amount corresponding to the campus;

[0240] Obtain the carbon trading volume, purchased green electricity volume and the fourth carbon emission factor corresponding to the purchased green electricity volume contained in the campus data;

[0241] Calculate the second product of the purchased green electricity and the fourth carbon emission factor, and determine the second product and the carbon trading volume as the second carbon offset amount corresponding to the campus;

[0242] Determine the third carbon offset amount corresponding to the campus based on the photovoltaic power generation of the photovoltaic power generation system included in the campus data;

[0243] The sum of the first carbon offset amount, the second carbon offset amount and the third carbon offset amount is determined as the carbon offset amount corresponding to the campus.

[0244] In some embodiments of the present disclosure, the carbon emission analysis module 660 may be specifically used to calculate the carbon emission per unit area of ​​the campus based on the total campus area and the actual carbon emission in the campus data;

[0245] Calculate campus per capita carbon emissions based on the total number of campus people and actual carbon emissions in campus data;

[0246] Calculate the campus carbon reduction rate and the target carbon emissions corresponding to various energy sources on campus. Based on the carbon emissions and target carbon emissions, calculate the carbon emissions proportion corresponding to various energy sources respectively.

[0247] The changing trends of carbon emissions, carbon emissions per unit area of ​​campus, and carbon emissions per capita of campus are analyzed to obtain the fourth trend analysis results;

[0248] Determine the campus' carbon emission structure based on the first carbon emission, the second carbon emission, the third carbon emission and the total carbon emission;

[0249] Calculate the ecological carbon sink contribution rate of each vegetation type based on the carbon sink factor and planting area of ​​each vegetation type in campus data;

[0250] Calculate the carbon reduction contribution rate based on carbon emissions, second carbon offsets and third carbon offsets;

[0251] The carbon emissions per unit area of ​​campus, per capita carbon emissions on campus, carbon emissions share, the fourth trend analysis results, carbon emission structure, ecological carbon sink contribution rate and carbon emission reduction contribution rate are determined as the carbon emission analysis results.

[0252] In some embodiments of the present disclosure, the campus data includes the target province where the campus is located and the power transfer situation between the target province and other provinces.

[0253] The data analysis device 600 based on campus zero-carbon transformation may also include a carbon emission factor adjustment module.

[0254] The carbon emission factor adjustment module can be used to adjust the carbon emission factor corresponding to the campus electricity consumption when there is electricity transfer between the target province and other provinces to obtain the adjusted carbon emission factor.

[0255] The carbon emission analysis module 660 can also be specifically used to calculate the target carbon emission corresponding to the campus electricity consumption based on the adjusted carbon emission factor.

[0256] It should be noted that Figure 6 The data analysis device 600 based on campus zero-carbon transformation shown can execute each step in the above method embodiment and realize each process and effect in the above method embodiment, which will not be elaborated here.

[0257] Figure 7 It is a structural schematic diagram of an electronic device provided by an embodiment of the present disclosure.

[0258] In the disclosed embodiment, Figure 7 The electronic device shown may be a server or a terminal, wherein the terminal specifically includes a mobile phone, a computer or a tablet computer, etc., which is not limited here.

[0259] like Figure 7 As shown, the electronic device may include a processor 710 and a memory 720 storing computer program instructions.

[0260] Specifically, the processor 710 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present disclosure.

[0261] The memory 720 may include a large capacity memory for information or instructions. By way of example and not limitation, the memory 720 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a tape, or a universal serial bus (USB) drive or a combination of two or more of these. Where appropriate, the memory 720 may include a removable or non-removable (or fixed) medium. Where appropriate, the memory 720 may be inside or outside the integrated gateway device. In a particular embodiment, the memory 720 is a non-volatile solid-state memory. In a particular embodiment, the memory 720 includes a read-only memory (ROM). Where appropriate, the ROM may be a mask-programmed ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (Electrically Erasable Programmable ROM, EEPROM), an electrically rewritable ROM (EAROM) or a flash memory, or a combination of two or more of these.

[0262] The processor 710 reads and executes the computer program instructions stored in the memory 720 to perform the steps of the data analysis method based on campus zero-carbon transformation provided by the embodiment of the present disclosure.

[0263] In one example, the electronic device may further include a transceiver 730 and a bus 740. Figure 7 As shown, the processor 710, the memory 720 and the transceiver 730 are connected via a bus 740 and communicate with each other.

[0264] The bus 740 includes hardware, software, or both. For example, but not limitation, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industrial Standard Architecture (ISA) bus, an InfiniBand interconnect, a Low Pin Count (LPC) bus, a Memory bus, a MicroChannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local Bus (VLB) bus, or other suitable buses or a combination of two or more of these. Where appropriate, the bus 740 may include one or more buses.

[0265] The embodiments of the present disclosure also provide a computer-readable storage medium, which may store a computer program. When the computer program is executed by a processor, the processor implements the data analysis method based on campus zero-carbon transformation provided by the embodiments of the present disclosure.

[0266] The above-mentioned storage medium may, for example, include a memory 720 of computer program instructions, and the above-mentioned instructions may be executed by the processor 710 of the electronic device to complete the data analysis method based on campus zero-carbon transformation provided by the embodiment of the present disclosure. Optionally, the storage medium may be a non-temporary computer-readable storage medium, for example, the non-temporary computer-readable storage medium may be a ROM, a random access memory (Random Access Memory, RAM), a compact disc read-only memory (Compact Disc ROM, CD-ROM), a magnetic tape, a floppy disk, and an optical data storage device, etc.

[0267] The above description is only a specific embodiment of the present disclosure, so that those skilled in the art can understand or implement the present disclosure. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure will not be limited to the embodiments described herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A data analysis method based on campus zero-carbon transformation, characterized in that: include: Acquire campus data, wherein the campus data includes basic campus information, campus landscape ecological information, basic campus building information, campus energy information, campus renewable energy information, and campus target carbon emission data; Analyze the energy usage of the campus and each single building within a preset period based on the campus data to obtain a first energy consumption analysis result corresponding to the campus and a second energy consumption analysis result corresponding to each single building; Analyze the resource utilization of each renewable energy source based on the campus renewable energy information to obtain a third energy consumption analysis result corresponding to each renewable energy source; Determine at least one type of carbon emission source corresponding to the campus data, calculate the carbon emissions corresponding to each type of carbon emission source in the campus, and calculate the carbon offset amount corresponding to the campus based on the campus data; Determine the actual carbon emissions corresponding to the campus based on the carbon emissions and the carbon offset amount; Analyzing the carbon emissions of the campus based on the carbon emissions, the carbon offsets and the actual carbon emissions to obtain a carbon emissions analysis result; The first energy consumption analysis result, the second energy consumption analysis result, the third energy consumption analysis result and the carbon emission analysis result are determined as the data analysis results of the zero-carbon transformation of the campus.

2. The method according to claim 1, characterized in that The campus basic information includes the total number of students on campus and the total area of ​​the campus; the campus building basic information includes the building area of ​​each single building and the number of energy users; the campus energy information includes the first consumption of various first energy sources corresponding to the campus and the second consumption of various second energy sources corresponding to each single building; Analyzing the energy usage of the campus within a preset period based on the campus data to obtain a first energy consumption analysis result corresponding to the campus includes: Obtain the first standard coal discount coefficients corresponding to various first energy sources; Calculate the total campus energy consumption corresponding to the campus within the preset period based on the first standard coal conversion coefficient and the first consumption; Calculate a first per capita index and a first unit building area index corresponding to the campus based on the first consumption, the total area of ​​the campus, and the total number of people on campus; Analyze the change trends of the total campus energy consumption, the first consumption, the first per capita index, and the first unit building area index to obtain a first trend analysis result; Calculate first proportions of various first energy sources based on the first consumption and the total energy consumption of the campus, and obtain a first energy consumption structure corresponding to the campus based on the first proportions; Calculate the first per capita total energy consumption, the first unit area total energy consumption and the per capita water consumption corresponding to the campus based on the total energy consumption of the campus, and compare the first per capita total energy consumption, the first unit area total energy consumption and the per capita water consumption with their corresponding first reference values, respectively, to obtain a first comparison result; Determine the total campus energy consumption, the first per capita index, the first unit building area index, the first trend analysis result, the first energy consumption structure and the first comparison result as the first energy consumption analysis result; Based on the campus data, the energy usage of each single building in a preset period is analyzed to obtain a second energy consumption analysis result corresponding to each single building, including: Obtain the second standard coal discount coefficients corresponding to various second energy sources; Calculate the total energy consumption of each single building corresponding to each single building within the preset period based on the second standard coal reduction coefficient and the second consumption; Calculate the second per capita index and the second unit building area index corresponding to the single building based on the second consumption, the building area of ​​the single building and the number of energy users, and calculate the second per capita total energy consumption and the second unit area total energy consumption corresponding to the single building based on the total energy consumption of the single building; Analyze the change trends of the total energy consumption of the single building, the second consumption, the second per capita index, and the second unit building area index to obtain a second trend analysis result; Calculate the second proportion of various second energy sources based on the second consumption and the total energy consumption of the single building, and obtain the second energy consumption structure corresponding to each single building based on the second proportion; Determine the power consumption per unit area and the heating energy consumption per unit area corresponding to the single building, and compare the power consumption per unit area and the heating energy consumption per unit area with their corresponding second reference values, respectively, to obtain a second comparison result; The total energy consumption of the single building, the second per capita index, the second unit building area index, the second trend analysis result, the second energy consumption structure and the second comparison result are determined as the second energy consumption analysis result.

3. The method according to claim 1, characterized in that The campus renewable energy information includes basic information of the campus renewable energy system and the capacity of the campus renewable energy system within the preset period, wherein the campus renewable energy system includes a photovoltaic power generation system, a solar thermal system and a heat pump system, and the capacity includes the photovoltaic power generation of the photovoltaic power generation system, the first heating capacity of the solar thermal system and the second heating capacity of the heat pump system within the preset period; The resource utilization of each renewable energy source is analyzed based on the campus renewable energy information to obtain a third energy consumption analysis result corresponding to each renewable energy source, including: Analyze the component parameter performance of the campus renewable energy system based on the basic information of the campus renewable energy system to obtain a system performance analysis result; Analyze the change trends of the photovoltaic power generation, the first heating amount, and the second heating amount respectively to obtain a third trend analysis result; Calculate the total contribution rate of the campus renewable energy system, and the system contribution rates of the photovoltaic power generation system, the solar thermal system, and the heat pump system respectively based on the photovoltaic power generation, the first heating amount, and the second heating amount; Calculate a first standard coal saving amount corresponding to the photovoltaic power generation system and a second standard coal saving amount corresponding to the solar thermal system based on the photovoltaic power generation amount and the first heating amount; The system performance analysis result, the total contribution rate, the system contribution rate, the first standard coal saving amount and the second standard coal saving amount are determined as the third energy consumption analysis result.

4. The method according to claim 1, characterized in that: The determining of at least one type of carbon emission source corresponding to the campus data and calculating the carbon emissions corresponding to each type of carbon emission source in the campus include: When the carbon emission source is direct carbon emission, determining the third consumption corresponding to at least one third energy source and the first carbon emission factor corresponding to each third energy source; Calculating a first carbon emission amount based on the third consumption amount and the first carbon emission factor; When the carbon emission source is indirect carbon emission and is of the first emission type, determining a fourth consumption amount corresponding to at least one fourth energy source corresponding thereto and a second carbon emission factor corresponding to each fourth energy source; calculating a second carbon emission amount based on the fourth consumption amount and the second carbon emission factor; When the carbon emission source is indirect carbon emission and is of the second emission type, determining a fifth consumption amount corresponding to at least one fifth energy source corresponding thereto and a third carbon emission factor corresponding to each fifth energy source; Calculating a third carbon emission amount based on the fifth consumption amount and the third carbon emission factor; The sum of the first carbon emissions, the second carbon emissions and the third carbon emissions is determined as the total carbon emissions corresponding to the campus.

5. The method according to claim 4, characterized in that The campus landscape ecological information includes the types of vegetation planted on campus and the planting area corresponding to each vegetation type; The calculating the carbon offset amount corresponding to the campus based on the campus data includes: Obtain the carbon sequestration factor corresponding to each vegetation type; For each vegetation type, calculating a first product of the planting area and the carbon sequestration factor, and determining the first product as the target carbon offset amount corresponding to the vegetation type; Determine the sum of the target carbon offset amounts corresponding to each vegetation type as the first carbon offset amount corresponding to the campus; Obtain the carbon trading volume, the amount of green electricity purchased, and the fourth carbon emission factor corresponding to the amount of green electricity purchased contained in the campus data; Calculate the second product of the purchased green electricity and the fourth carbon emission factor, and determine the second product and the carbon trading amount as the second carbon offset amount corresponding to the campus; Determine a third carbon offset amount corresponding to the campus based on the photovoltaic power generation amount of the photovoltaic power generation system included in the campus data; The sum of the first carbon offset amount, the second carbon offset amount and the third carbon offset amount is determined as the carbon offset amount corresponding to the campus.

6. The method according to claim 5, characterized in that The carbon emission situation of the campus is analyzed based on the carbon emission amount, the carbon offset amount and the actual carbon emission amount to obtain a carbon emission analysis result, including: Calculate the carbon emissions per unit area of ​​the campus based on the total campus area in the campus data and the actual carbon emissions; Calculate the campus per capita carbon emissions based on the total number of campus people in the campus data and the actual carbon emissions; Calculating the carbon reduction rate of the campus and the target carbon emissions corresponding to various energy sources in the campus, and calculating the carbon emission proportions corresponding to various energy sources based on the carbon emissions and the target carbon emissions; Analyze the change trends of the carbon emissions, the carbon emissions per unit area of ​​the campus, and the carbon emissions per capita of the campus to obtain a fourth trend analysis result; Determine the carbon emission structure of the campus based on the first carbon emission, the second carbon emission, the third carbon emission and the total carbon emission; Calculate the ecological carbon sink contribution rate of each vegetation type based on the carbon sink factor and planting area corresponding to each vegetation type in the campus data; Calculate the carbon emission reduction contribution rate based on the carbon emissions, the second carbon offset amount and the third carbon offset amount; The campus carbon emissions per unit area, the campus per capita carbon emissions, the carbon emissions proportion, the fourth trend analysis result, the carbon emission structure, the ecological carbon sink contribution rate and the carbon reduction contribution rate are determined as the carbon emission analysis results.

7. The method according to claim 6, characterized in that The campus data includes the target province where the campus is located and the power transfer situation between the target province and other provinces. The method further includes: When there is electricity transfer between the target province and the other provinces, the carbon emission factor corresponding to the electricity consumption of the campus is adjusted to obtain an adjusted carbon emission factor; The calculation of the target carbon emissions corresponding to various energy sources on the campus includes: The target carbon emission amount corresponding to the electricity consumption of the campus is calculated based on the adjusted carbon emission factor.

8. A data analysis device based on campus zero-carbon transformation, characterized in that: include: An information acquisition module is used to acquire campus data, wherein the campus data includes basic campus information, campus landscape ecological information, basic campus building information, campus energy information, campus renewable energy information, and campus target carbon emission data; A first energy consumption analysis module is used to analyze the energy usage of the campus and each single building within a preset period based on the campus data, and obtain a first energy consumption analysis result corresponding to the campus and a second energy consumption analysis result corresponding to each single building; A second energy consumption analysis module is used to analyze the resource utilization of each renewable energy source based on the campus renewable energy information to obtain a third energy consumption analysis result corresponding to each renewable energy source; A carbon emission calculation module, used to determine at least one type of carbon emission source corresponding to the campus data, calculate the carbon emissions corresponding to each type of carbon emission source in the campus, and calculate the carbon offset corresponding to the campus based on the campus data; An actual carbon emission calculation module, used to determine the actual carbon emission corresponding to the campus based on the carbon emission and the carbon offset; A carbon emission analysis module, used to analyze the carbon emission situation of the campus based on the carbon emission amount, the carbon offset amount and the actual carbon emission amount to obtain a carbon emission analysis result; An analysis result determination module is used to determine the first energy consumption analysis result, the second energy consumption analysis result, the third energy consumption analysis result and the carbon emission analysis result as the data analysis results of the campus zero-carbon transformation.

9. An electronic device, characterized in that: include: processor; A memory for storing executable instructions; The processor is used to read the executable instructions from the memory and execute the executable instructions to implement the data analysis method based on campus zero-carbon transformation as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The storage medium stores a computer program. When the computer program is executed by the processor, the processor implements the data analysis method based on campus zero-carbon transformation as described in any one of claims 1 to 7.

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