Enterprise intelligent comprehensive carbon emission reduction method and system

Abstract

The application provides an enterprise intelligent comprehensive carbon emission reduction method and system, a server collects energy consumption data corresponding to a target enterprise in a last period, calculates total carbon emission data of the target enterprise in the last period according to the energy consumption data, decomposes and processes total energy consumption sites of the target enterprise according to use properties, obtains sub-sites corresponding to different departments in an organizational structure, obtains energy consumption equipment corresponding to the sub-sites to perform carbon emission calculation, and obtains sub-carbon emission data of the corresponding departments, the server receives a carbon priority label configured by an enterprise terminal for each sub-site, generates a carbon priority sequence of all sub-sites based on the carbon priority label, receives a carbon quota corresponding to a next period, analyzes the carbon quota, the sub-carbon emission data and the carbon priority sequence, and generates departments needing carbon emission reduction and carbon emission reduction strategies.

Description

TECHNICAL FIELD

[0001] The present application relates to data processing technology, and in particular to an intelligent enterprise comprehensive carbon emission reduction method and system. BACKGROUND

[0002] Currently, enterprise carbon emission management is increasingly becoming a global focus, especially how to effectively monitor and reduce carbon emissions at the enterprise level has become a major challenge, and enterprises urgently need more refined management methods to achieve accurate calculation and effective control of carbon emissions.

[0003] The prior art mainly monitors enterprise energy consumption through traditional energy management systems to indirectly estimate carbon emissions. These methods often rely on overall energy consumption data and lack analysis of specific carbon emission data for each department or sub-site of the enterprise, resulting in the inability to implement targeted carbon emission reduction measures.

[0004] Therefore, how to achieve fine monitoring of the specific energy consumption and carbon emissions of each department or sub-site of an enterprise, while integrating various energy data to improve the accuracy and practicality of carbon emission data, thereby supporting the development of more effective carbon emission reduction strategies, has become a problem that needs to be solved. SUMMARY

[0005] The present application provides an intelligent enterprise comprehensive carbon emission reduction method and system, which can achieve fine monitoring of the specific energy consumption and carbon emissions of each department or sub-site of an enterprise, while integrating various energy data to improve the accuracy and practicality of carbon emission data, thereby supporting the development of more effective carbon emission reduction strategies.

[0006] In a first aspect, the present application provides an intelligent enterprise comprehensive carbon emission reduction method, comprising:

[0007] S1, a server collects energy consumption data of a target enterprise corresponding to a previous period, and calculates total carbon emission data of the target enterprise in the previous period based on the energy consumption data;

[0008] S2, the server decomposes and processes total energy consumption sites of the target enterprise according to use properties to obtain sub-sites corresponding to different departments in the organizational structure, obtains energy consumption equipment corresponding to the sub-sites for carbon emission calculation, and obtains sub-carbon emission data of the corresponding departments;

[0009] S3, the server receives a carbon priority label configured by an enterprise end for each sub-site, and generates a carbon priority sequence of all sub-sites based on the carbon priority label;

[0010] S4, the server receives a carbon quota corresponding to a next period, analyzes the carbon quota, the sub-carbon emission data, and the carbon priority sequence, and generates departments that need to perform carbon emission reduction and carbon emission reduction strategies.

[0011] Optionally, the S1 comprises:

[0012] The energy consumption data comprises at least one of electricity consumption information, water consumption information and gas consumption information.

[0013] S11, the server calculates total electricity carbon emission information according to electricity consumption information of the target enterprise in the last period and electricity carbon coefficient;

[0014] S12, the server calculates total water carbon emission information according to water consumption information of the target enterprise in the last period and water carbon coefficient;

[0015] S13, the server calculates total gas carbon emission information according to gas consumption information of the target enterprise in the last period and gas carbon coefficient;

[0016] S14, total carbon emission data of the target enterprise in the last period is obtained based on the total electricity carbon emission information, the total water carbon emission information and the total gas carbon emission information.

[0017] Optionally, the S2 comprises:

[0018] S21, the server receives a configuration end configuring a site twin model for the target enterprise, wherein the site twin model comprises all energy-using equipment and a department label corresponding to each energy-using equipment;

[0019] S22, the server obtains departments existing in an organizational structure, and classifies energy-using equipment in the site twin model with the same department label to obtain a corresponding department equipment set;

[0020] S23, the site twin model is divided and processed based on the department equipment set to obtain sub-sites corresponding to different departments in the organizational structure;

[0021] S24, a department carbon emission calculation model obtains energy-using equipment and corresponding metering equipment corresponding to the sub-site, and calculates sub-carbon emission data of the corresponding department according to the metering equipment.

[0022] Optionally, the S22 comprises:

[0023] The number of department labels corresponding to each energy-using equipment is obtained;

[0024] If it is judged that the number is equal to 0, the corresponding energy-using equipment is classified into a completely shared equipment set;

[0025] If it is judged that the number is equal to 1, an independent use label is added to the corresponding energy-using equipment;

[0026] If it is judged that the number is greater than 1, a partial shared label is added to the corresponding energy-using equipment;

[0027] The energy-using equipment including the same department label in the site twin model is classified to obtain a corresponding department equipment set.

[0028] Optionally, the S23 comprises:

[0029] The positions of the energy-using equipment in the complete public equipment set in the site twin model are obtained, and the site twin model is divided based on the positions to obtain corresponding sub-sites.

[0030] The positions of the energy-using equipment in the department equipment set in the site twin model are obtained, and the site twin model is divided based on the positions to obtain corresponding sub-sites, and a corresponding preset mark is added in the twin model image according to the independent use label or the partial common label of each energy-using equipment.

[0031] Optionally, the S24 comprises:

[0032] The department carbon emission calculation model obtains the energy-using equipment and the corresponding metering equipment corresponding to the sub-sites of the complete public equipment set to obtain public sub-emission data.

[0033] The department carbon emission calculation model obtains the energy-using equipment and the corresponding metering equipment corresponding to the sub-sites of the department equipment set, classifies and calculates the energy-using equipment and the corresponding metering equipment according to the independent use label and the partial common label to obtain initial sub-carbon emission data of the corresponding department.

[0034] The department carbon emission calculation model decomposes the public sub-emission data based on the initial sub-carbon emission data of the department to obtain the public sub-emission data allocated to each department, and obtains final sub-carbon emission data according to the initial sub-carbon emission data and the allocated public sub-emission data.

[0035] Optionally, the department carbon emission calculation model obtains the energy-using equipment and the corresponding metering equipment corresponding to the sub-sites of the department equipment set, classifies and calculates the energy-using equipment and the corresponding metering equipment according to the independent use label and the partial common label to obtain initial sub-carbon emission data of the corresponding department, which comprises:

[0036] The department carbon emission calculation model obtains the first energy-using equipment and the corresponding first metering equipment in the department equipment set with the independent use label, and calculates first sub-carbon emission information according to first metering information of the first metering equipment.

[0037] The department carbon emission calculation model obtains the second energy-using equipment and the corresponding second metering equipment in the department equipment set with the partial common label, and calculates second sub-carbon emission information according to second metering information of the second metering equipment.

[0038] The department carbon emission calculation model obtains a set of other department devices in which the second use-energy device with the shared label is located, and calculates the second sub-carbon emission information according to a third use-energy device with an independent use label and a corresponding third metering device in the set of other department devices, to obtain third sub-carbon emission information;

[0039] The corresponding department initial sub-carbon emission data is obtained based on the first sub-carbon emission information and the third sub-carbon emission information.

[0040] Optionally, the calculation of the second sub-carbon emission information according to the third use-energy device with the independent use label and the corresponding third metering device in the set of other department devices includes:

[0041] The third use-energy device with the independent use label and the corresponding third metering device in the set of other department devices are obtained to calculate corresponding fourth sub-carbon emission information;

[0042] The corresponding carbon emission estimation proportion is calculated based on the first sub-carbon emission information and the fourth sub-carbon emission information, and the third sub-carbon emission information is calculated based on the carbon emission estimation proportion and the second sub-carbon emission information;

[0043] The first sub-carbon emission information, the second sub-carbon emission information, the third sub-carbon emission information, and the fourth sub-carbon emission information are calculated by the following formula,

[0044]

[0045] Wherein, p1 is the first sub-carbon emission information, p2 is the second sub-carbon emission information, p3 is the third sub-carbon emission information, and p4 is the fourth sub-carbon emission information, is the first metering information of the first use-energy device with the independent use label in the lth department device set, and r is the carbon conversion coefficient of the rth type, and n is the upper limit value of the first use-energy device with the independent use label, is the second metering information of the second use-energy device with the partial shared label in the lth department device set, and m is the upper limit value of the second use-energy device with the partial shared label, is the third metering information of the third use-energy device with the independent use label in the ath other department device set, b is the upper limit value of the first use-energy device with the independent use label in the ath other department device set, and p q is the third sub-carbon emission information of the qth other department device set, h is the upper limit value of the number of department device sets corresponding to the partial shared label, and β is the calculation weight value of the lth department device set.

[0046] Optionally, S4 includes:

[0047] S41, the carbon emission reduction analysis model obtains the relative carbon emission proportion of all departments according to the sub-carbon emission data, and obtains the carbon emission sub-quota of each department in each time period based on the carbon quota, the carbon emission proportion, and the calculation of the time of the next cycle;

[0048] S42, if it is judged that the actual carbon emission of the corresponding department in any time period is less than or equal to the carbon emission sub-quota, no processing is needed;

[0049] S43, if it is judged that the actual carbon emission of the corresponding department in any time period is greater than the carbon emission sub-quota, the department needing carbon emission reduction and the carbon emission reduction strategy are generated based on the analysis of the carbon use priority sequence.

[0050] Optionally, the S43 comprises:

[0051] The department whose actual carbon emission in any time period is greater than the carbon emission sub-quota is taken as a first to-be-optimized department, and the department whose actual carbon emission in any time period is less than the carbon emission sub-quota is taken as a second to-be-optimized department;

[0052] The first to-be-optimized sequence is obtained by sorting all the first to-be-optimized departments based on the carbon use priority sequence, and sequence carbon emission gap information in the first to-be-optimized sequence is calculated;

[0053] The carbon emission quota remaining information of all the second to-be-optimized departments is calculated, and if the carbon emission gap information is less than or equal to the sum of the carbon emission quota remaining information, a first form of carbon transfer footprint view is generated;

[0054] If the sum of the carbon emission gap information is greater than the sum of the carbon emission quota remaining information, a second form of carbon transfer footprint view is generated according to the department carbon emission gap information of each department in the first to-be-optimized sequence.

[0055] Optionally, if the sum of the carbon emission gap information is greater than the sum of the carbon emission quota remaining information, a second form of carbon transfer footprint view is generated according to the department carbon emission gap information of each department in the first to-be-optimized sequence, comprising:

[0056] A carbon emission initial image corresponding to each department in the first to-be-optimized sequence is established, and a first carbon emission value corresponding to a unit pixel point is obtained by calculation based on the carbon emission initial image and the carbon emission sub-quota;

[0057] A first pixel point value of the carbon emission gap is obtained by calculation based on the department carbon emission gap information and the first carbon emission value, a gap image is obtained by adding corresponding pixel points to the four sides of the carbon emission initial image based on the number of the first pixel point values, and the outline of the carbon emission initial image is displayed in a first preset form;

[0058] establishing a carbon emission initial image corresponding to a second to-be-optimized department, calculating based on the carbon emission initial image and the carbon emission sub-quota to obtain a second carbon emission value corresponding to a unit pixel point;

[0059] calculating a second pixel point value of the carbon emission quota residual based on the carbon emission quota residual information and the second carbon emission value, reducing the corresponding pixel points around the carbon emission initial image based on the number of the second pixel point value to obtain a quota image, and displaying the outline of the carbon emission initial image in a second preset form.

[0060] Optionally, if the sum of the carbon emission gap information is greater than the sum of the carbon emission quota residual information, a second form of carbon transfer footprint view is generated according to the carbon emission gap information of each department in the first to-be-optimized sequence, including:

[0061] The gap image and the quota image are arranged in the gap area and the quota area of the carbon transfer footprint view, respectively;

[0062] According to the carbon emission gap information of each department in the first to-be-optimized sequence as a calculation target, the carbon emission quota residual information of other departments is sequentially selected and added until the calculation target is greater than or equal to the calculation target;

[0063] The selected quota image of other departments is connected with the gap image to obtain a corresponding carbon transfer footprint view.

[0064] Optionally, it further includes:

[0065] The carbon transfer footprint view generated in each time period is obtained, and the carbon transfer value of each department is obtained, the carbon transfer value corresponding to the carbon emission gap information is a positive value, and the carbon transfer value corresponding to the carbon emission quota residual information is a negative value; the department carbon emission calculation model is trained based on the carbon transfer value to obtain the calculation weight value ω of the trained department device set, and the calculation weight value ω of each department device set after training is calculated by the following formula,

[0066]

[0067] wherein ω is the adjusted calculation weight value, z x is the carbon transfer value in the carbon transfer footprint view of the xth time period, y is the upper limit value of the carbon transfer footprint view, Y is the number value of the carbon transfer footprint view, and θ is the normalized conversion value.

[0068] In a second aspect of the embodiment of the application, an intelligent comprehensive carbon emission reduction system for an enterprise is provided, comprising:

[0069] The collection module is used for the server to collect energy consumption data of the target enterprise in a previous period, and to calculate total carbon emission data of the target enterprise in the previous period according to the energy consumption data;

[0070] The acquisition module is used for the server to decompose and process total energy consumption sites of the target enterprise according to use properties, to obtain sub-sites corresponding to different departments in an organizational structure, to acquire energy consumption equipment corresponding to the sub-sites for carbon emission calculation, and to obtain sub-carbon emission data of corresponding departments;

[0071] The generation module is used for the server to receive a carbon-first label configured by the enterprise side for each sub-site, and to generate a carbon-first sequence of all sub-sites based on the carbon-first label.

[0072] The analysis module is used for the server to receive a carbon quota corresponding to a next period, to analyze the carbon quota, the sub-carbon emission data and the carbon-first sequence, and to generate a department needing carbon emission reduction and a carbon emission reduction strategy.

[0073] Beneficial effects:

[0074] The scheme can accurately monitor and integrate data. By implementing the enterprise intelligent comprehensive carbon emission reduction method proposed in the scheme, accurate monitoring of energy consumption and carbon emission of each sub-site and department of an enterprise can be realized. The technology adopts a site twin model and department equipment set classification, so that carbon emission data is not limited to overall estimation, but can be detailed to each specific department and use equipment, significantly improving data transparency and management effectiveness.

[0075] The scheme can dynamically generate a carbon emission reduction strategy based on real-time carbon emission data and a preset carbon quota. By analyzing the sub-carbon emission data of each department and the carbon-first sequence through the server, the department needing optimization can be accurately positioned, and specific emission reduction measures can be proposed. This dynamic adjustment mechanism can flexibly respond to actual operation conditions, ensuring that the enterprise meets policy requirements while optimizing energy use efficiency.

[0076] The scheme helps the enterprise to accurately manage carbon emission, and more detailed carbon emission monitoring and optimization strategies help to reduce the overall carbon footprint, bringing potential economic benefits to the enterprise, and can reduce energy consumption and thus reduce costs. BRIEF DESCRIPTION OF DRAWINGS

[0077] Figure 1 A flowchart of an enterprise intelligent comprehensive carbon emission reduction method provided by the present application;

[0078] Figure 2 A schematic diagram of a carbon transfer footprint view provided by the present application;

[0079] Figure 3Another schematic view of the carbon transfer footprint view provided by the present application. DETAILED DESCRIPTION

[0080] The technical solutions of the present application will be described in detail below with specific examples. The following specific examples can be combined with each other, and the same or similar concepts or processes may not be described in detail in some examples.

[0081] As Figure 1 shown is a flowchart of an intelligent comprehensive carbon emission reduction method for an enterprise provided by the present application. The method comprises the following steps.

[0082] S1, the server collects energy consumption data of the target enterprise corresponding to the last cycle, and calculates total carbon emission data of the target enterprise in the last cycle according to the energy consumption data.

[0083] In order to calculate data, the present solution needs to obtain historical data of the enterprise, and process the historical data to obtain calculation data suitable for the target enterprise.

[0084] In some embodiments, step S1 (the server collects energy consumption data of the target enterprise corresponding to the last cycle, and calculates total carbon emission data of the target enterprise in the last cycle according to the energy consumption data) comprises that the energy consumption data comprises at least one of electric consumption information, water consumption information, and gas consumption information.

[0085] S11, the server calculates total electric carbon emission information according to electric consumption information and an electric carbon coefficient of the target enterprise in the last cycle.

[0086] The server needs to collect energy consumption data of the target enterprise in the last cycle. These data may include the consumption of electric energy, water, and natural gas, etc. These indicators are usually collected and recorded by internal sensors, metering devices, or energy management systems of the enterprise.

[0087] The electric carbon coefficient can be pre-set, which can convert carbon data from the electric consumption information to obtain carbon data of the enterprise in the electricity dimension.

[0088] S12, the server calculates total water carbon emission information according to water consumption information and a water carbon coefficient of the target enterprise in the last cycle.

[0089] The water carbon coefficient can be pre-set, which can convert carbon data from the water consumption information to obtain carbon data of the enterprise in the water dimension.

[0090] S13, the server calculates total gas carbon emission information according to gas consumption information and a gas carbon coefficient of the target enterprise in the last cycle.

[0091] The gas-carbon coefficient can be pre-set, which can convert the carbon data of the gas consumption information to obtain the carbon data of the enterprise in the gas dimension.

[0092] S14, based on the total electric carbon emission information, the total water carbon emission information, and the total gas carbon emission information, obtaining the total carbon emission data of the target enterprise in the last period.

[0093] Finally, the server aggregates the total electric carbon emission information, the total water carbon emission information, and the total gas carbon emission information to obtain the total carbon emission data of the target enterprise in the last period. This total carbon emission is a key indicator for measuring the environmental impact of the enterprise, and can also be used for developing emission reduction strategies or environmental reporting.

[0094] S2, the server decomposes the total energy consumption site of the target enterprise according to the use nature to obtain the sub-sites corresponding to different departments in the organizational structure, obtains the energy consumption equipment corresponding to the sub-sites for carbon emission calculation, and obtains the sub-carbon emission data of the corresponding departments.

[0095] In order to assist enterprises in carbon emission reduction, the energy consumption and carbon emission data of the target enterprise are subdivided into different departments. This method helps enterprises to more finely manage the energy consumption and carbon emission of each department, and to develop specific energy-saving and emission-reduction measures for each department.

[0096] In some embodiments, step S2 (the server decomposes the total energy consumption site of the target enterprise according to the use nature to obtain the sub-sites corresponding to different departments in the organizational structure, obtains the energy consumption equipment corresponding to the sub-sites for carbon emission calculation, and obtains the sub-carbon emission data of the corresponding departments) comprises:

[0097] S21, the server receives the configuration end configuring the site twin model for the target enterprise, and the site twin model includes all energy consumption equipment and the department label corresponding to each energy consumption equipment.

[0098] The twin model is a digital simulation model corresponding to the actual site, which contains detailed information of all energy consumption equipment in the enterprise and the department label corresponding to each equipment. The department label helps the server to identify which department in the enterprise organizational structure each equipment belongs to. The role of the site twin model is to provide a digital platform so that energy consumption and carbon emission monitoring, analysis and optimization can be carried out in a simulated environment rather than directly in the physical environment. This can avoid interference with actual operations and provide a flexible environment for various simulations and predictions.

[0099] S22, the server obtains the departments existing in the organizational structure, and classifies the energy consumption equipment including the same department label in the site twin model to obtain the corresponding department equipment set.

[0100] The server obtains the existing department information according to the organizational structure, and classifies the energy-using equipment according to the department labels in the site twin model. In this way, the server can obtain the equipment set corresponding to each department, which is the basis for calculating the energy consumption and carbon emissions of each department. Through the department labels in the site twin model, the server can identify and calculate the sub-carbon emission data of each department. These data can help enterprise management understand the energy use efficiency and carbon footprint of each department, and optimize energy use strategies accordingly to reduce the environmental impact of the entire enterprise. In addition, sub-carbon emission data is also a key indicator for evaluating the effectiveness of department energy-saving and emission-reducing measures, and helps to promote the sustainable development goals of the enterprise.

[0101] In some embodiments, step S22 (the server obtains the existing departments in the organizational structure, and classifies the energy-using equipment in the site twin model that includes the same department label to obtain the corresponding department equipment set) includes:

[0102] S221, obtain the number of department labels corresponding to each energy-using equipment. The server needs to determine the number of department labels corresponding to each energy-using equipment. This number indicates whether a device is dedicated to a department or shared by multiple departments. For example, device A may be used by both the experimental department and the production department, while device B is only used by the experimental department.

[0103] S222, if the number is equal to 0, the corresponding energy-using equipment is classified into the completely shared equipment set. If the number of department labels of a device is equal to 0, it means that it does not belong to any department, but is a device shared by the entire enterprise. Such devices will be classified into the completely shared equipment set.

[0104] S223, if the number is equal to 1, add an independent use label to the corresponding energy-using equipment. If the number of department labels of a device is equal to 1, it means that this device is used independently by a particular department. For such devices, the server will add an independent use label to facilitate identification and statistics.

[0105] S224, if the number is greater than 1, add a partial shared label to the corresponding energy-using equipment. If a device has more than one department label, i.e. the number of department labels is greater than 1, it means that this device is used by multiple departments. For these devices, the server will add a partial shared label.

[0106] S225, categorize the energy-using equipment in the site twin model that includes the same department label to get the corresponding department equipment set. After completing the above label judgment and addition, the server categorizes the energy-using equipment according to the department label in the site twin model to get the equipment set corresponding to each department, which will be the basis for calculating the carbon emissions of each department. Through this refined categorization, enterprises can more accurately monitor and analyze the energy consumption and carbon emissions of different departments. For example, the energy consumption and carbon emissions of independently used equipment can be directly attributed to a specific department, while the energy consumption of shared equipment needs to be allocated to each department in a fair manner. This helps enterprises consider the nature of equipment use and sharing when evaluating and developing energy-saving and emission-reducing strategies, making more reasonable decisions and promoting the sustainable development goals of the enterprise.

[0107] S23, based on the department equipment set, the site twin model is divided and processed to obtain the sub-sites corresponding to different departments in the organizational structure.

[0108] In some embodiments, step S23 (the site twin model is divided and processed based on the department equipment set to obtain the sub-sites corresponding to different departments in the organizational structure) includes:

[0109] S231, obtain the positions of energy-using equipment in the completely shared equipment set in the site twin model, and based on the positions, the site twin model is divided and processed to obtain the corresponding sub-sites.

[0110] First, the positions of each device in the completely shared equipment set in the site twin model need to be determined. Once these positions are determined, the model can be divided based on these positions to obtain the sub-sites corresponding to these shared equipment. These sub-sites may be areas accessible to the entire enterprise, such as conference rooms, rest areas, etc.

[0111] S232, obtain the positions of energy-using equipment in the department equipment set in the site twin model, and based on the positions, the site twin model is divided and processed to obtain the corresponding sub-sites, and according to the independent use label or partial shared label of each energy-using equipment, the corresponding preset identification is added in the twin model image.

[0112] Next, for the devices in the department device set, their positions in the site twin model also need to be determined. Then, the site twin model is divided according to these positions to obtain a sub-site corresponding to each department. For each device, a preset identifier is also added in the twin model image according to its independent use label or partial shared label. These preset identifiers help to indicate the use range and sharing situation of the device, for example, a certain text identifier can represent that the device is used independently, and another text identifier represents that the device is shared by multiple departments. Through such division and identification, the enterprise can clearly see the physical boundaries of different departments and the devices they use on the site twin model. This enables managers and decision-makers to more intuitively understand the spatial distribution of enterprise operations, and thus optimize resource allocation and energy consumption management.

[0113] In step S24, the department carbon emission calculation model obtains the energy-using devices corresponding to the sub-site of the department device set and the corresponding metering devices, and calculates the sub-carbon emission data of the corresponding department according to the metering devices.

[0114] In some embodiments, step S24 (the department carbon emission calculation model obtains the energy-using devices corresponding to the sub-site of the department device set and the corresponding metering devices, and calculates the sub-carbon emission data of the corresponding department according to the metering devices) comprises:

[0115] S241, the department carbon emission calculation model obtains the energy-using devices corresponding to the sub-site of the department device set and the corresponding metering devices, and obtains the public sub-emission data.

[0116] The department carbon emission calculation model first obtains the energy-using devices corresponding to the sub-site of the department device set and the corresponding metering devices, and calculates the carbon emission data of the public devices. These data represent the carbon emissions generated by the space and devices used by all departments.

[0117] S242, the department carbon emission calculation model obtains the energy-using devices corresponding to the sub-site of the department device set and the corresponding metering devices, and classifies and calculates the energy-using devices and the corresponding metering devices according to the independent use label and the partial shared label to obtain the initial sub-carbon emission data of the corresponding department.

[0118] Then, the model classifies the devices and their metering devices according to their use (independent use or partial sharing), and calculates the sub-carbon emission data of each department. This scheme can track the carbon emission of different departments and devices in detail, so as to develop more effective carbon emission reduction measures and optimize device use and energy management strategies.

[0119] In some embodiments, S242 (the department carbon emission calculation model obtains the energy-using equipment corresponding to the sub-site of the department equipment set and the corresponding metering equipment, classifies and calculates the energy-using equipment and the corresponding metering equipment according to the independent use label and the partial common label, and obtains the corresponding department initial sub-carbon emission data) includes:

[0120] S2421, the department carbon emission calculation model obtains the first energy-using equipment with an independent use label and the corresponding first metering equipment in the department equipment set, and calculates the first sub-carbon emission information according to the first metering information of the first metering equipment.

[0121] The department carbon emission calculation model calculates the carbon emission data of these equipment, i.e., the first sub-carbon emission information, according to the metering information provided by the first metering equipment. It can be understood that the first sub-carbon emission information represents the carbon emission data of the independent dimension.

[0122] S2422, the department carbon emission calculation model obtains the second energy-using equipment with a partial common label and the corresponding second metering equipment in the department equipment set, and calculates the second sub-carbon emission information according to the second metering information of the second metering equipment.

[0123] For the second energy-using equipment with a partial common label and the second metering equipment thereof, the model also calculates the carbon emission data based on the metering information of the second metering equipment to obtain the second sub-carbon emission information. It can be understood that the first sub-carbon emission information represents the carbon emission data of the multiple department comprehensive dimension.

[0124] S2423, the department carbon emission calculation model obtains the other department equipment set where the second energy-using equipment with a partial common label is located, and decomposes and calculates the second sub-carbon emission information according to the third energy-using equipment with an independent use label and the corresponding third metering equipment of the other department equipment set to obtain the third sub-carbon emission information.

[0125] It can be understood that since the energy consumption data of the department equipment used independently can represent the energy consumption of the department to a certain extent, the scheme will combine the energy consumption data of the department equipment used independently to decompose and calculate the second sub-carbon emission information to obtain the split third sub-carbon emission information, thereby realizing the decomposition of the second sub-carbon emission information.

[0126] In some embodiments, S2423 (the decomposition and calculation of the second sub-carbon emission information according to the third energy-using equipment with an independent use label and the corresponding third metering equipment of the other department equipment set to obtain the third sub-carbon emission information) includes: S24231, obtaining the third energy-using equipment with an independent use label and the corresponding third metering equipment of the other department equipment set for calculation to obtain the corresponding fourth sub-carbon emission information.

[0127] The fourth sub-carbon emission information is a fourth sub-carbon emission information representing an independent dimension of a plurality of departments.

[0128] S24232, based on the first sub-carbon emission information, the fourth sub-carbon emission information, a corresponding carbon emission estimation proportion is calculated, and the third sub-carbon emission information is calculated based on the carbon emission estimation proportion and the second sub-carbon emission information.

[0129] It is worth mentioning that the carbon emission estimation proportion refers to the proportion of the carbon emission information of a department in the independent dimension to the carbon emission information of a plurality of departments in the independent dimension. The larger the first sub-carbon emission information is, the larger the corresponding carbon emission estimation proportion is, and the more the third sub-carbon emission information is decomposed.

[0130] S24233, the first sub-carbon emission information, the second sub-carbon emission information, the third sub-carbon emission information and the fourth sub-carbon emission information are calculated by the following formula,

[0131]

[0132] Wherein, p1 is the first sub-carbon emission information, p2 is the second sub-carbon emission information, p3 is the third sub-carbon emission information, p4 is the fourth sub-carbon emission information, is the first metering information of the first energy-using equipment with independent use label in the lth department equipment set, and a r is the carbon conversion coefficient of the rth type, n is the upper limit value of the first energy-using equipment with independent use label, is the second metering information of the second energy-using equipment with partial common label in the lth department equipment set, and m is the upper limit value of the second energy-using equipment with partial common label, is the third metering information of the third energy-using equipment with independent use label in the a th department equipment set, v is the upper limit value of the first energy-using equipment with independent use label in the a th department equipment set, and p q is the third sub-carbon emission information of the q th department equipment set, h is the upper limit value of the department equipment set corresponding to the partial common label, and β is the calculation weight value of the l th department equipment set.

[0133] In the above formula, The larger the first sub-carbon emission information is, the larger the corresponding first sub-carbon emission information is; The larger the second sub-carbon emission information is, the larger the corresponding second sub-carbon emission information is; wherein, represents the carbon emission estimation proportion, the larger the first sub-carbon emission information is, the larger the corresponding carbon emission estimation proportion is, and the more the third sub-carbon emission information is decomposed. β can be set by the staff in advance.

[0134] S2424, obtaining initial sub-carbon emission data of the corresponding department based on the first sub-carbon emission information and the third sub-carbon emission information.

[0135] S243, the department carbon emission calculation model decomposes the public sub-emission data based on the initial sub-carbon emission data of the department, to obtain the public sub-emission data allocated to each department, and obtains the final sub-carbon emission data according to the initial sub-carbon emission data and the allocated public sub-emission data.

[0136] S3, the server receives the carbon use priority labels configured by the enterprise side for each sub-site, and generates a carbon use priority sequence for all sub-sites based on the carbon use priority labels. The enterprise side can submit the carbon use priority labels for each sub-site to the server through a user interface (UI), an application programming interface (API), or other data input methods. These labels may contain information about carbon emission priorities in the operation of the site. The server processes the received label data and sorts each sub-site according to its carbon use priority labels to generate a carbon use priority sequence. This sequence reflects the priority of each sub-site in the carbon emission management strategy. The entire process is automated, ensuring that the enterprise's carbon management strategy is adjusted according to the specific site conditions and priorities, helping to improve the effectiveness and accuracy of carbon reduction measures. In this way, enterprises can more effectively optimize their energy consumption and reduce their carbon footprint, in line with sustainable development and environmental protection requirements.

[0137] S4, the server receives the carbon quota corresponding to the next period, analyzes the carbon quota, sub-carbon emission data, and carbon use priority sequence, and generates departments that need to implement carbon reduction and carbon reduction strategies.

[0138] This step describes the process of using the server to process data to determine future carbon reduction strategies. This process involves receiving the carbon quota for the next period, analyzing the sub-carbon emission data and carbon use priority sequence, and generating information about which departments need to implement carbon reduction and how to implement these reduction strategies. Among them, the carbon quota can be a limit on carbon use within a certain range issued by the government to the enterprise.

[0139] In some embodiments, step S4 (the server receives the carbon quota corresponding to the next period, analyzes the carbon quota, sub-carbon emission data, and carbon use priority sequence, and generates departments that need to implement carbon reduction and carbon reduction strategies) includes:

[0140] S41, the carbon reduction analysis model obtains the relative carbon emission proportion of all departments based on the sub-carbon emission data, and calculates the carbon emission sub-quota of each department for each time period based on the carbon quota, carbon emission proportion, and time of the next period.

[0141] The server first analyzes the sub-carbon emission data from different departments, which represents the relative carbon emission proportion of each department. Based on the overall carbon quota allocated to the company, combined with the carbon emission proportion of each department and the time parameter of the next cycle, the server calculates the carbon emission sub-quota that each department should comply with in each time period. It can be understood that the larger the relative carbon emission proportion of the corresponding department, the more carbon emission sub-quota it will get.

[0142] S42, if it is judged that the actual carbon emission of the corresponding department in any time period is less than or equal to the carbon emission sub-quota, no processing is needed.

[0143] The server compares the actual carbon emission data with the carbon emission sub-quota of the corresponding department. If the actual carbon emission of any department in any time period does not exceed its carbon emission sub-quota, the department is considered to meet the requirements and no further emission reduction measures need to be taken.

[0144] S43, if it is judged that the actual carbon emission of the corresponding department in any time period is greater than the carbon emission sub-quota, based on the carbon use priority sequence, the department that needs to be carbon emission reduction and the carbon emission reduction strategy are generated.

[0145] If the actual carbon emission of some departments exceeds their carbon emission sub-quota, the server identifies these departments as departments that need to be reduced. The server will analyze these departments according to the carbon use priority sequence, which may consider factors such as the importance of the department, the potential for emission reduction, cost-effectiveness, etc. The server develops carbon emission reduction strategies based on the analysis results, which aim to help the excess departments reduce their carbon emissions to the specified sub-quota.

[0146] In some embodiments, the S43 comprises:

[0147] S431, the department whose actual carbon emission in any time period is greater than the carbon emission sub-quota is taken as the first to-be-optimized department, and the department whose actual carbon emission in any time period is less than the carbon emission sub-quota is taken as the second to-be-optimized department.

[0148] The first to-be-optimized department is the department whose actual carbon emission exceeds the carbon emission sub-quota, which is identified as needing to be carbon supplemented. The actual carbon emission of the second to-be-optimized department is less than its respective carbon emission sub-quota, which can provide carbon emission quota surplus when necessary to help other departments.

[0149] S432, sort all first to-be-optimized departments based on the carbon use priority sequence to obtain a first to-be-optimized sequence, and calculate sequence carbon emission gap information in the first to-be-optimized sequence.

[0150] The server sorts all the first to-be-optimized departments using the carbon priority sequence, generates an optimization sequence, and makes the more prioritized sequence earlier. The specific amount of each department in the first to-be-optimized sequence exceeding the carbon emission sub-quota, i.e., the carbon emission gap, is calculated.

[0151] S433, the carbon emission quota remaining information of all the second to-be-optimized departments is calculated, and if the carbon emission gap information is less than or equal to the sum of the carbon emission quota remaining information, a carbon transfer footprint view in a first form is generated.

[0152] The carbon emission quota not used by the second to-be-optimized department is calculated. If the sum of the carbon emission gaps of the first to-be-optimized departments is less than or equal to the sum of the carbon emission quotas remaining of the second to-be-optimized departments, it means that carbon replenishment can be achieved between departments under coordination. At this time, the present scheme generates a view to show how the second to-be-optimized department helps the first to-be-optimized department to meet their carbon emission reduction requirements through carbon quota transfer.

[0153] S434, if the sum of the carbon emission gap information is greater than the sum of the carbon emission quota remaining information, a carbon transfer footprint view in a second form is generated according to the department carbon emission gap information of each department in the first to-be-optimized sequence.

[0154] If the sum of the carbon emission gaps is greater than the sum of the carbon emission quotas remaining, it means that the remaining carbon quota of the second to-be-optimized department is not enough to compensate for the excessive emissions of the first to-be-optimized department. In this case, another view will be generated, which may show the specific measures that each first to-be-optimized department needs to take to reduce carbon emissions in order to reduce its carbon emission gap.

[0155] In some embodiments, step S434 (if the sum of the carbon emission gap information is greater than the sum of the carbon emission quota remaining information, a carbon transfer footprint view in a second form is generated according to the department carbon emission gap information of each department in the first to-be-optimized sequence) includes:

[0156] A1, a carbon emission initial image corresponding to each department in the first to-be-optimized sequence is established, and based on the carbon emission initial image and the carbon emission sub-quota, a first carbon emission value corresponding to a unit pixel point is obtained.

[0157] The present scheme further details how to display the carbon emission gap and the remaining quota between the first to-be-optimized department and the second to-be-optimized department in a visual manner, and how to generate a carbon transfer footprint view through these information. See Figure 2An initial image representing the carbon emission of the first to-be-optimized department is created. Each initial image of each department is represented by a circle with a preset radius, and then the first carbon emission value represented by each pixel point can be calculated in combination with the carbon emission initial image and the carbon emission sub-quota. It can be understood that the greater the carbon emission sub-quota, the greater the first carbon emission value represented by the corresponding pixel point. The first carbon emission values represented by the pixel points of different departments are different.

[0158] A2, based on the department carbon emission gap information and the first carbon emission value, a first pixel point value of the carbon emission gap is calculated, the corresponding pixel points are added to the periphery of the carbon emission initial image based on the number of the first pixel point value to obtain a gap image, and the outline of the carbon emission initial image is displayed in a first preset form.

[0159] The first pixel point value of the carbon emission gap is the number of pixel points that need to be added according to the carbon emission gap information and the first carbon emission value of the department. The gap image is to add a corresponding number of pixel points to the periphery of the carbon emission initial image to form a gap image representing the carbon emission gap, and the outline is displayed in a first preset form. The first preset form can be a red form, and the display outline can be Figure 2 a ring.

[0160] A3, an initial image of carbon emission corresponding to the second to-be-optimized department is established, and a second carbon emission value corresponding to each unit pixel point is calculated based on the carbon emission initial image and the carbon emission sub-quota.

[0161] Each carbon emission initial image of each second to-be-optimized department is represented by a circle with a preset radius, and then the second carbon emission value corresponding to each unit pixel point can be calculated in combination with the carbon emission initial image and the carbon emission sub-quota. It can be understood that the greater the carbon emission sub-quota, the greater the second carbon emission value represented by the corresponding pixel point. The second carbon emission values represented by the pixel points of different departments are different.

[0162] A4, based on the department carbon emission quota remaining information and the second carbon emission value, a second pixel point value of the carbon emission quota remaining is calculated, the corresponding pixel points are reduced from the periphery of the carbon emission initial image based on the number of the second pixel point value to obtain a quota image, and the outline of the carbon emission initial image is displayed in a second preset form.

[0163] The second pixel point value of the carbon emission quota surplus is calculated according to the carbon emission quota surplus information of the department and the second carbon emission value. The quota image is obtained by reducing a corresponding number of pixel points around the initial carbon emission image, forming a quota image representing the carbon emission surplus, and displaying the outline in a second preset form. The second preset form can be a green form, and the display outline can be Figure 2 an annular shape.

[0164] In some embodiments, in step S434 (if the sum of the carbon emission gap information is greater than the sum of the carbon emission quota surplus information, a second form of carbon transfer footprint view is generated according to the department carbon emission gap information of each department in the first to-be-optimized sequence), the step includes:

[0165] B1, the gap image and the quota image are respectively arranged in the gap area and the quota area of the carbon transfer footprint view.

[0166] Referring to Figure 2 , the carbon transfer footprint view of the present scheme includes a gap area and a quota area. The gap image is arranged in the gap area, and the quota image is arranged in the quota area.

[0167] B2, according to the carbon emission gap information of each department in the first to-be-optimized sequence as a calculation target, the carbon emission quota surplus information of other departments is selected in sequence and added until the calculation target is met or exceeded.

[0168] It can be understood that in order to fill the carbon emission gap of the first to-be-optimized department, the carbon emission quota surplus information of the second to-be-optimized department is selected and added until the gap calculation target is met or exceeded.

[0169] B3, connecting the selected quota images of other departments with the gap image to obtain a corresponding carbon transfer footprint view.

[0170] Connecting the selected quota images with the corresponding gap images shows the path of carbon quota transfer and forms a complete carbon transfer footprint view. Through these steps, the server can convert abstract carbon emission data into intuitive visual information, helping decision makers to more clearly understand the distribution of carbon emission gap and quota surplus, and possible carbon emission transfer strategies. This visualization method helps to simplify complex data analysis, making carbon emission management more efficient and easy to understand.

[0171] In the above embodiment, the second form of carbon transfer footprint view is illustrated. It can be understood that some gap images cannot be supplemented and connected in the generation of the second form of carbon transfer footprint view. The difference between the first form of carbon transfer footprint view and the second form of carbon transfer footprint view is that all gap images in the first form of carbon transfer footprint view can be supplemented. For specific forms, see Figure 3 Schematically.

[0172] In some embodiments, further comprising:

[0173] C1, obtaining the carbon transfer footprint view generated in each time period, and obtaining the carbon transfer value of each department, the carbon transfer value corresponding to the carbon emission gap information is a positive value, and the carbon transfer value corresponding to the carbon emission quota remaining information is a negative value.

[0174] In different time periods, the carbon transfer footprint view of each department is generated and collected. The carbon transfer value of each department is obtained based on their performance in the footprint view, wherein the carbon transfer value corresponding to the carbon emission gap information is a positive value, and the carbon transfer value corresponding to the carbon emission quota remaining information is a negative value.

[0175] C2, training the department carbon emission calculation model based on the carbon transfer value, and obtaining the calculation weight value ω of the trained department device set.

[0176] The carbon transfer value is used to train the department carbon emission calculation model, so as to obtain the calculation weight value ω of each department device set.

[0177] The calculation weight value ω of each department device set after training is calculated by the following formula,

[0178]

[0179] Wherein, ω is the adjusted calculation weight value, z x is the carbon transfer value in the carbon transfer footprint view of the xth time period, y is the upper limit value of the carbon transfer footprint view, Y is the quantity value of the carbon transfer footprint view, and θ is the normalized conversion value.

[0180] In the above formula, represents the sum of carbon transfer values, and the larger it is, the larger the corresponding adjusted calculation weight value is, so that the value of the third sub-carbon emission information in the above embodiment is also larger. The normalized conversion value can be set by the staff in advance.

[0181] In this way, the server can extract useful information from the data obtained from the carbon transfer footprint view and use this information to train and optimize the calculation model. This can improve the accuracy and utility of the model, making carbon emission management and optimization more precise and effective. By dynamically adjusting the weight value ω, the model can be continuously adapted to reflect changes in the actual carbon emissions of the enterprise over time.

[0182] The enterprise intelligent comprehensive carbon emission reduction system provided by the embodiment of the present application comprises:

[0183] The acquisition module is configured to acquire, by the server, energy consumption data of the target enterprise in a previous period, and calculate total carbon emission data of the target enterprise in the previous period based on the energy consumption data.

[0184] The acquisition module is configured to acquire, by the server, energy consumption data of the target enterprise in a previous period, and calculate total carbon emission data of the target enterprise in the previous period based on the energy consumption data.

[0185] The generation module is configured to receive, by the server, a carbon-first label configured by the enterprise for each sub-site, and generate a carbon-first sequence of all sub-sites based on the carbon-first label.

[0186] The analysis module is configured to receive, by the server, a carbon quota corresponding to a next period, and analyze the carbon quota, the sub-carbon emission data, and the carbon-first sequence to generate a department that needs to reduce carbon emissions and a carbon emission reduction strategy.

[0187] The present application also provides a storage medium, wherein the storage medium stores a computer program, and the computer program is executed by a processor to implement the method provided by the various embodiments described above.

[0188] The storage medium can be a computer storage medium or a communication medium. The communication medium includes any medium that facilitates transfer of a computer program from one place to another. The computer storage medium can be any available medium that can be accessed by a general purpose or special purpose computer. For example, the storage medium is coupled to the processor such that the processor can read information from, and write information to, the storage medium. Of course, the storage medium can be a component of the processor. Accordingly, the processor and the storage medium can reside in an application-specific integrated circuit (ASIC) or a field-programmable gate array (FPGA). Alternatively, the processor and the storage medium can be located in a user device. The processor and the storage medium can also be located in a remote terminal and communicate with each other. The storage medium can be a read-only memory (ROM), a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, or the like.

[0189] The present application also provides a program product including execution instructions stored in a storage medium. At least one processor of a device can read the execution instructions from the storage medium, and the at least one processor executes the execution instructions to enable the device to implement the method provided by the various embodiments described above.

[0190] In the above-described embodiments of the terminal or the server, it should be understood that the processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), or the like. The general-purpose processor can be a microprocessor or any conventional processor, or the like. The steps of the method disclosed in the present application can be directly embodied as a hardware processor for execution, or a combination of hardware and software modules in the processor for execution.

[0191] Finally, it should be noted that the above-described embodiments are merely used to illustrate the technical solutions of the present application, rather than limiting the present application; even though the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that the technical solutions recorded in the foregoing embodiments can be modified, or some or all of the technical features thereof can be substituted with equivalent technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A comprehensive carbon emission reduction method for enterprise intelligence, characterized in that, Comprise: S1, the server collects the energy consumption data of the target enterprise in the last period, and calculates the total carbon emission data of the target enterprise in the last period according to the energy consumption data; S2, the server decomposes the total energy consumption site of the target enterprise according to the use nature, obtains the sub-site corresponding to different departments in the organizational structure, obtains the energy consumption equipment corresponding to the sub-site, and calculates the carbon emission to obtain the sub-carbon emission data of the corresponding department; S3, the server receives the carbon priority label configured by the enterprise side for each sub-site, and generates the carbon priority sequence of all sub-sites based on the carbon priority label; S4, the server receives the carbon quota corresponding to the next period, analyzes the carbon quota, the sub-carbon emission data and the carbon priority sequence, and generates the department which needs to carry out carbon emission reduction and the carbon emission reduction strategy; S2 comprises: S21, the server receives the site twin model configured by the configuration end for the target enterprise, and the site twin model comprises all energy consumption equipment and the department label corresponding to each energy consumption equipment; S22, the server obtains the departments existing in the organizational structure, classifies the energy consumption equipment with the same department label in the site twin model to obtain the corresponding department equipment set; S23, the site twin model is divided based on the department equipment set to obtain the sub-site corresponding to different departments in the organizational structure; S24, the department carbon emission calculation model obtains the energy consumption equipment and the corresponding metering equipment corresponding to the sub-site, and calculates the sub-carbon emission data of the corresponding department according to the metering equipment; S4 comprises: S41, the carbon emission reduction analysis model obtains the relative carbon emission proportion of all departments according to the sub-carbon emission data, calculates the carbon emission sub-quota of each department in each time period based on the carbon quota, the carbon emission proportion and the time of the next period; S42, if it is judged that the actual carbon emission of the corresponding department in any time period is less than or equal to the carbon emission sub-quota, no processing is needed; S43, if it is judged that the actual carbon emission of the corresponding department in any time period is greater than the carbon emission sub-quota, the department which needs to carry out carbon emission reduction and the carbon emission reduction strategy are generated based on the carbon priority sequence.

2. The intelligent comprehensive carbon emission reduction method for enterprise according to claim 1, wherein S1 comprises: The energy consumption data comprises at least one of electric consumption information, water consumption information and gas consumption information; S11, the server calculates the total electric carbon emission information according to the electric consumption information of the target enterprise in the last period and the electric carbon coefficient; S12, the server calculates the total water carbon emission information according to the water consumption information of the target enterprise in the last period and the water carbon coefficient; S13, the server calculates the total gas carbon emission information according to the gas consumption information of the target enterprise in the last period and the gas carbon coefficient; S14, the total carbon emission data of the target enterprise in the last period is obtained based on the total electric carbon emission information, the total water carbon emission information and the total gas carbon emission information.

3. The intelligent comprehensive carbon emission reduction method for enterprise according to claim 1, wherein S22 comprises: Obtaining the number of department tags corresponding to each energy-using device; If it is judged that the number is equal to 0, the corresponding energy-using device is classified into a completely public device set; If it is judged that the number is equal to 1, an independent use tag is added to the corresponding energy-using device; If it is judged that the number is greater than 1, a partial common tag is added to the corresponding energy-using device; Classifying the energy-using devices with the same department tag in the site twin model to obtain the corresponding department device set.

4. The enterprise intelligent comprehensive carbon emission reduction method according to claim 3, wherein the S23 comprises: Obtaining the positions of the energy-using devices in the completely public device set in the site twin model, and dividing the site twin model based on the positions to obtain corresponding sub-sites; Obtaining the positions of the energy-using devices in the department device set in the site twin model, and dividing the site twin model based on the positions to obtain corresponding sub-sites, and adding a corresponding preset mark in the twin model image according to the independent use tag or the partial common tag of each energy-using device.

5. The enterprise intelligent comprehensive carbon emission reduction method according to claim 4, wherein the S24 comprises: The department carbon emission calculation model obtains the energy-using devices and corresponding metering devices of the sub-sites of the completely public device set to obtain public sub-emission data; The department carbon emission calculation model obtains the energy-using devices and corresponding metering devices of the sub-sites of the department device set, classifies and calculates the energy-using devices and corresponding metering devices according to the independent use tag and the partial common tag to obtain initial sub-carbon emission data of the corresponding department; The department carbon emission calculation model decomposes the public sub-emission data based on the initial sub-carbon emission data to obtain the public sub-emission data allocated to each department, and obtains the final sub-carbon emission data according to the initial sub-carbon emission data and the allocated public sub-emission data.

6. The enterprise intelligent comprehensive carbon emission reduction method according to claim 5, wherein the department carbon emission calculation model obtains the energy-using devices and corresponding metering devices of the sub-sites of the department device set, classifies and calculates the energy-using devices and corresponding metering devices according to the independent use tag and the partial common tag to obtain initial sub-carbon emission data of the corresponding department, comprising: The department carbon emission calculation model obtains the first energy-using device with the independent use tag and the corresponding first metering device in the department device set, and calculates the first sub-carbon emission information according to the first metering information of the first metering device; The department carbon emission calculation model obtains the second energy-using device with the partial common tag and the corresponding second metering device in the department device set, and calculates the second sub-carbon emission information according to the second metering information of the second metering device; The department carbon emission calculation model obtains other department device sets where the second energy-using device with the partial common tag is located, and decomposes and calculates the second sub-carbon emission information according to the third energy-using device with the independent use tag and the corresponding third metering device in the other department device sets to obtain the third sub-carbon emission information; ​ ​ ​ Obtain the initial sub-carbon emission data of the corresponding department based on the first sub-carbon emission information and the third sub-carbon emission information. 7.The enterprise intelligent comprehensive carbon emission reduction method according to claim 6, characterized in that, The third sub-carbon emission information is obtained by decomposing and calculating the second sub-carbon emission information according to the third energy-using equipment with independent use label and the corresponding third metering equipment of the other department equipment set. The fourth sub-carbon emission information corresponding to the third energy-using equipment with independent use label and the corresponding third metering equipment of the other department equipment set is obtained by calculation. The corresponding carbon emission estimation proportion is obtained by calculation based on the first sub-carbon emission information and the fourth sub-carbon emission information, and the third sub-carbon emission information is obtained by decomposing and calculating the second sub-carbon emission information based on the carbon emission estimation proportion. The first sub-carbon emission information, the second sub-carbon emission information, the third sub-carbon emission information and the fourth sub-carbon emission information are calculated by the following formula, in, For the first carbon emission information, This is the second sub-item of carbon emission information. For the third sub-carbon emission information, For the fourth sub-carbon emission information, For the first The first metering information of the first energy-consuming equipment with an independent usage tag within the equipment set of each department. For the first Types of carbon conversion coefficients, The upper limit for the first energy-consuming device that uses the tag independently. For the first Second metering information for second energy-consuming equipment with partially shared tags within a department's equipment set. This refers to the upper limit value for secondary energy-consuming devices that share a common tag. For other The third metering information of third-generation energy-consuming equipment that uses tags independently in each department's equipment collection. For other The upper limit value of the first energy-consuming device in each department's equipment set that independently uses the tag. For other The third sub-carbon emission information of the equipment collection of each department, This represents the upper limit of the number of departmental equipment sets corresponding to a partially shared label. For the first The calculated weight value of each department's equipment set. 8.The enterprise intelligent comprehensive carbon emission reduction method according to claim 1, characterized in that, The S43 comprises: The department with actual carbon emission greater than the carbon emission sub-quota in any time period is taken as the first to-be-optimized department, and the department with actual carbon emission less than the carbon emission sub-quota in any time period is taken as the second to-be-optimized department. The first to-be-optimized sequence is obtained by sorting all the first to-be-optimized departments based on the carbon-using priority sequence, and the sequence carbon emission gap information in the first to-be-optimized sequence is calculated. The carbon emission quota remaining information of all the second to-be-optimized departments is calculated, and if the sum of the carbon emission gap information is less than or equal to the sum of the carbon emission quota remaining information, the carbon transfer footprint view in the first form is generated. If the sum of the carbon emission gap information is greater than the sum of the carbon emission quota remaining information, the carbon transfer footprint view in the second form is generated according to the department carbon emission gap information of each department in the first to-be-optimized sequence. 9.The enterprise intelligent comprehensive carbon emission reduction method according to claim 8, characterized in that, If the sum of the carbon emission gap information is greater than the sum of the carbon emission quota remaining information, the carbon transfer footprint view in the second form is generated according to the department carbon emission gap information of each department in the first to-be-optimized sequence, which comprises: The carbon emission initial image corresponding to each department in the first to-be-optimized sequence is established, and the first carbon emission value corresponding to each unit pixel point is calculated based on the carbon emission initial image and the carbon emission sub-quota. The first pixel point value of the carbon emission gap is calculated based on the department carbon emission gap information and the first carbon emission value, the corresponding pixel points are added to the periphery of the carbon emission initial image based on the number of the first pixel point value to obtain the gap image, and the outline of the carbon emission initial image is displayed in the first preset form. The carbon emission initial image corresponding to the second to-be-optimized department is established, and the second carbon emission value corresponding to each unit pixel point is calculated based on the carbon emission initial image and the carbon emission sub-quota. The second pixel point value of the carbon emission quota residual is calculated based on the department-based carbon emission quota residual information and the second carbon emission value, the corresponding pixel points of the carbon emission initial image are reduced based on the number of the second pixel point value, and the quota image is obtained, and the outline of the carbon emission initial image is displayed in the second preset form.

10. The enterprise intelligent comprehensive carbon emission reduction method of claim 9, wherein, if the sum of the carbon emission gap information is greater than the sum of the carbon emission quota residual information, a second form of carbon transfer footprint view is generated according to the department carbon emission gap information of each department in the first to-be-optimized sequence, including: the gap image and the quota image are arranged in the gap area and the quota area of the carbon transfer footprint view, respectively; the carbon emission quota residual information of other departments is added in sequence and the calculation is stopped when the sum is greater than or equal to the calculation target according to the carbon emission gap information of each department in the first to-be-optimized sequence; the selected quota images of other departments are connected with the gap image to obtain the corresponding carbon transfer footprint view.

11. The enterprise intelligent integrated carbon emission reduction method according to claim 10, characterized in that, Further comprising: obtaining the carbon transfer footprint view generated in each time period and obtaining the carbon transfer value of each department, the carbon transfer value corresponding to the carbon emission gap information is positive, and the carbon transfer value corresponding to the carbon emission quota residual information is negative; training the department carbon emission calculation model based on the carbon transfer value, to obtain a calculation weight value of the trained department device set , The calculated weight value of each department equipment set after training is calculated by the following formula , wherein, is the adjusted calculated weight value, is the carbon transfer value in the carbon transfer footprint view for the is the carbon transfer value in the carbon transfer footprint view for the is the upper limit value for the carbon transfer footprint view, is the quantity value for the carbon transfer footprint view, is the normalized conversion value.

12. An enterprise intelligent integrated carbon emission reduction system according to any one of the methods of claims 1-11, characterized in that, including: a collection module configured to collect, by a server, energy consumption data of a target enterprise in a previous period, and calculate total carbon emission data of the target enterprise in the previous period based on the energy consumption data; an acquisition module configured to decompose, by the server, a total energy consumption site of the target enterprise according to use properties, to obtain sub-sites corresponding to different departments in an organizational structure, and to obtain energy consumption equipment corresponding to the sub-sites to calculate carbon emissions, thereby obtaining sub-carbon emission data of the corresponding departments; a generation module configured to receive, by the server, a carbon-first label configured by an enterprise side for each sub-site, and to generate a carbon-first sequence of all sub-sites based on the carbon-first label; an analysis module configured to receive, by the server, a carbon quota corresponding to a next period, and to analyze the carbon quota, the sub-carbon emission data, and the carbon-first sequence to generate departments that need to reduce carbon emissions and carbon emission reduction strategies.

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