Method and device for determining carbon emission reduction rate based on modified building, electronic equipment and storage medium

Abstract

The application discloses a carbon emission reduction rate determination method and device based on building reconstruction, electronic equipment and a storage medium. The method comprises the following steps: determining a first energy consumption change amount according to first data and second data; determining a second energy consumption change amount according to third data and fourth data; and determining a carbon emission reduction rate according to the first energy consumption change amount and the second energy consumption change amount. The method can obtain the change of carbon emissions after the target area is reconstructed by determining the first energy consumption change amount and the second energy consumption change amount. The real change of carbon emissions can be obtained by determining the carbon emission reduction rate according to the first energy consumption change amount and the second energy consumption change amount, so that the problem that the failure of reconstruction is wrongly blamed for the increase of carbon emissions caused by the change of building industry is avoided.

Description

Technical Field

[0001] This invention relates to the field of building energy-saving renovation effect evaluation technology, and in particular to a method, device, electronic device and storage medium for determining the carbon emission reduction rate of renovated buildings. Background Technology

[0002] Currently, the "comparison of total carbon emissions before and after renovation" method is commonly used to evaluate the effectiveness of building energy-saving renovations. This method has a serious flaw: when the business structure of a commercial building changes significantly during the renovation period (e.g., supermarket area shrinks, restaurant area expands), the increase or decrease in total carbon emissions may be entirely due to the change in business structure, rather than the renovation technology itself. The traditional simple comparison method cannot distinguish between the two coupling factors of "business structure adjustment" and "technical renovation effect," leading to a misjudgment of the renovation's true emission reduction contribution, and may even incorrectly attribute the increase in emissions caused by the shift of business structures towards higher carbon emissions to renovation failure. Summary of the Invention

[0003] This invention provides a method, apparatus, electronic device, and storage medium for determining carbon emission reduction rates based on building renovation, in order to solve the problem of erroneously attributing increased emissions caused by business adjustments toward higher carbon directions to failed renovations.

[0004] According to one aspect of the present invention, a method for determining the carbon emission reduction rate based on building renovation is provided, comprising: The first energy consumption change is determined based on the first data and the second data; the first data is the carbon emissions of the building in the first period; the second data is the carbon emissions of the building in the second period; the first energy consumption change is used to characterize the change in carbon emissions caused by the renovation; the first period is the operating period of the building in the target area before the renovation; the second period is the operating period of the building in the target area after the renovation. The second energy consumption change is determined based on the third and fourth data; the third data is the carbon emission intensity of the building in the first period; the fourth data is used to characterize the changes in the business structure of buildings within the target area. The carbon emission reduction rate is determined based on the first change in energy consumption and the second change in energy consumption.

[0005] According to another aspect of the present invention, an apparatus for determining carbon emission reduction rate based on building renovation is provided, comprising: The first energy consumption change determination module is used to determine the first energy consumption change based on the first data and the second data; the first data is the carbon emissions of the building in the first period; the second data is the carbon emissions of the building in the second period; the first energy consumption change is used to characterize the change in carbon emissions caused by the renovation; the first period is the operating period of the building in the target area before the renovation; the second period is the operating period of the building in the target area after the renovation. The second energy consumption change determination module is used to determine the second energy consumption change based on the third data and the fourth data; the third data is the carbon emission intensity of the building in the first period; the fourth data is used to characterize the business structure change data of the building in the target area. The carbon emission reduction rate determination module is used to determine the carbon emission reduction rate based on the first energy consumption change and the second energy consumption change.

[0006] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the carbon emission reduction rate determination method based on building retrofitting as described in any embodiment of the present invention.

[0007] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the carbon emission reduction rate determination method based on modified buildings as described in any embodiment of the present invention.

[0008] The technical solution of this invention involves determining a first energy consumption change based on first and second data; determining a second energy consumption change based on third and fourth data; and determining a carbon reduction rate based on the first and second energy consumption changes. This method, by determining the first and second energy consumption changes, can obtain information characterizing the change in carbon emissions after the target area is modified. Determining the carbon reduction rate based on the first and second energy consumption changes allows for obtaining accurate information about the actual change in carbon emissions, thereby avoiding the misattribution of increased carbon emissions due to changes in building types to failed modifications.

[0009] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0010] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0011] Figure 1 A flowchart illustrating a method for determining the carbon emission reduction rate based on building renovation, provided as an embodiment of the present invention; Figure 2 A schematic diagram of a device for determining carbon emission reduction rate based on building renovation, provided in an embodiment of the present invention; Figure 3 A schematic diagram of the structure of an electronic device for implementing the carbon emission reduction rate determination method based on building renovation in this embodiment of the invention. Detailed Implementation

[0012] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0013] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0014] In one embodiment, Figure 1 This is a flowchart illustrating a method for determining carbon emission reduction rates based on building renovation, provided by an embodiment of the present invention. This embodiment is applicable to determining changes in carbon emissions caused by renovations. The method can be executed by a device for determining carbon emission reduction rates based on building renovations. This device can be implemented in hardware and / or software and can be configured in any electronic device with network communication capabilities. Figure 1 As shown, the method includes: S110. Determine the first energy consumption change based on the first data and the second data; the first data is the carbon emissions of the building in the first period; the second data is the carbon emissions of the building in the second period; the first energy consumption change is used to characterize the change in carbon emissions caused by the renovation; the first period is the operating period of the building in the target area before renovation; the second period is the operating period of the building in the target area after renovation.

[0015] The first energy consumption change measure is used to characterize the total change in carbon emissions caused by building renovation, and consists of the second energy consumption change measure and the third energy consumption change measure.

[0016] The second change in energy consumption is the change in carbon emissions contributed by changes in business operations.

[0017] The third change in energy consumption is the change in carbon emissions caused by building technology upgrades.

[0018] Specifically, the difference between the second data and the first data is used to obtain the first change in energy consumption.

[0019] Furthermore, the first change in energy consumption can be expressed as: .

[0020] in, This is the second data; This is the first data point.

[0021] Furthermore, the first data acquisition step is as follows: obtain the carbon emissions of buildings in the target area during the first period from the building energy management system, as the first data.

[0022] Furthermore, the steps for obtaining the second data are as follows: based on the business area of ​​different buildings in the target area in the first period and the carbon emissions of the business in the second period, the obtained product values ​​are weighted to obtain the second data.

[0023] S120. Determine the second energy consumption change based on the third and fourth data; the third data is the carbon emission intensity of the building in the first period; the fourth data is used to characterize the business structure change data of buildings in the target area.

[0024] The fourth data includes: first structural data and second structural data. The first structural data is the business structure data corresponding to the business of buildings within the target area in the first period; the second structural data is the business structure data corresponding to the business of buildings within the target area in the second period. The data type of the fourth data includes at least one of the following: operating area of ​​each business type, number of tenants, and operating hours coefficient.

[0025] The second energy consumption change measure is used to characterize the change in carbon emissions contributed by changes in business operations.

[0026] Specifically, the fourth data is split into first structure data and second structure data based on the timestamp; the difference between the first structure data and the second structure data is calculated according to the business correspondence, the difference is summed, and then multiplied with the third data to obtain the second energy consumption change.

[0027] The second change in energy consumption can be expressed as: ; in, This is the second structure data; This is the first structured data; This is the third data point.

[0028] Furthermore, the second change in energy consumption can also be expressed as: ; in, This is the second data; These are preset variables.

[0029] Among them, the preset variables are used to characterize the theoretical carbon emissions caused by building technology renovation.

[0030] S130. Determine the carbon emission reduction rate based on the first energy consumption change and the second energy consumption change.

[0031] Specifically, the difference between the first and second energy consumption changes is calculated based on the first relationship to obtain the third energy consumption change. The third energy consumption change is then negatively divided and subtracted from the first data. This difference is then multiplied by the percentage to obtain the carbon emission reduction rate.

[0032] The carbon emission reduction rate can be expressed as:

[0033] The above steps, the method for determining the carbon emission reduction rate, can still calculate the true marginal contribution of technological transformation even when the contribution of business model changes is negative (i.e., the business model becomes more low-carbon), which helps to make more refined decisions.

[0034] Furthermore, the traditional calculation method is as follows:

[0035] Furthermore, the relationship between the calculation method of this application and the traditional calculation method is as follows: Among them, when changes in business models lead to an increase in carbon emissions ( )hour, When changes in business models lead to a reduction in carbon emissions ( )hour, .

[0036] Furthermore, after obtaining the carbon emission reduction rate, it also includes: generating a three-column report of actual emission reduction from technological upgrades, virtual emission reduction from changes in business models, and final declarable emission reduction.

[0037] The above steps provide auditable and traceable carbon emission reduction certificates for the transformation project, supporting scenarios such as green finance, carbon trading, and green certification.

[0038] For example, suppose the target area is a shopping mall in region A, containing the following data: Total building area A: 110,366.5 m² 2 (Unchanged before and after modification); First data 19,129,215 kg CO2 / a; Second data 10,609,578 kgCO2 / a, then the carbon emission intensity per unit area before the renovation = Carbon emission intensity per unit area after renovation = First change in energy consumption Traditional OPCRR: The second energy consumption change was calculated, as shown in Table 1. The result was rounded down. A negative value indicates that the adjustment of the business structure itself has led to carbon emission reduction, that is, the area has moved towards a low-carbon emission direction. Inputting the first and second changes in energy consumption into the first relation yields the third change in energy consumption. The changes in the third energy consumption were interpreted, and the results are shown in Table 2. The carbon emission reduction rate was determined based on the changes in the third energy consumption. = =28.4155%. This shows that the traditional OPCRR... > 28.4155%, the comparison results are shown in Table 3.

[0039] Furthermore, the contribution of carbon emissions from different business operations is shown in Table 1.

[0040] Table 1. Contribution of carbon emissions from different business operations Interpretation of Results in Table 2 Table 3 Comparison of Carbon Emission Reduction Rate Types Therefore, on the surface, the 44.54% reduction in emission intensity after the upgrade seems to demonstrate significant technological effectiveness. However, in reality, of this 44.54% reduction, 36.2% comes from changes in business structure (significant reduction in supermarket and retail space, and increase in catering, leisure and entertainment, service facilities, and children's play areas), while 63.8% comes from genuine technological upgrades (electromechanical upgrades, intelligent operation and maintenance, etc.). The direction of business structure changes is beneficial for emission reduction. This means that the area adjustment itself has already brought about a certain carbon emission reduction. If this effect is not taken into account, although the contribution of technology still dominates in this case, it is impossible to accurately quantify the true effectiveness of the technical measures, especially when the direction of business changes is opposite, which will seriously mislead the assessment conclusion.

[0041] Optionally, the process for determining the second data includes steps A1-A3: Step A1: Determine at least one preset condition; the preset condition is the business structure of the building in the target area in the first period; the business structure is the production structure of the complete production needs of the equipment configured in the building.

[0042] The business scope can include: supermarkets, retail, catering, leisure and entertainment, supporting services, and children's play and recreation.

[0043] Specifically, at least one preset condition is determined based on the business structure of different buildings in the target area during the first period.

[0044] Furthermore, the preset condition can be denoted as T0.

[0045] Step A2: Determine at least one first area based on at least one preset condition; the first area is used to characterize the area of ​​the building in the target area corresponding to the business in the first period under the preset condition; the first period is the operating period before the building renovation.

[0046] Specifically, the corresponding building is matched according to preset conditions, the building's floor area is obtained, and the first area is obtained.

[0047] Step A3: Determine the second data based on at least one first area and a first matrix; the second data represents the carbon emission intensity of the service in the second period; the second period is the operating period after building renovation; the first matrix is ​​used to characterize the change in carbon emission intensity per unit area caused by technological renovation.

[0048] Specifically, the first area is multiplied by the corresponding carbon emission intensity in the first matrix, and then summed to obtain the second data.

[0049] Furthermore, the second data can be represented as: ; in, for Period The area of ​​this type of business, i.e., the first area; for Period Carbon emission intensity of various business models.

[0050] Optionally, the method for determining the first matrix includes steps B1-B3: Step B1: Determine the fifth data; the fifth data is used to determine the consumption of carbon emission-related resources by buildings in the target area at historical times; determine the first label; the first label is the label of the business carried by the buildings in the target area.

[0051] Specifically, historical energy consumption data is extracted from the building energy management system. , as the fifth data.

[0052] Among them, the dimension of the fifth data Y is ,in This represents the number of tenants.

[0053] Step B2: Generate the first equation based on the fifth data and the first label.

[0054] The first label is the tenant's business type label. Dimension , is OneHot encoded.

[0055] Specifically, we define a first matrix C, take the difference between the product of the fifth data and the first matrix and the first label, calculate the square of the F norm, take the minimum value, and take the difference between the product of the square of the F norm of the first matrix and the regularization parameter to obtain the first equation.

[0056] The first equation can be expressed as: .in, This is the regularization parameter.

[0057] Step B3: Solve the first equation to obtain the first matrix.

[0058] Specifically, the first equation is solved to obtain the first matrix.

[0059] Furthermore, the first matrix can be represented as: C Among them, its elements Indicates the first The first type of business Carbon emission intensity per unit area over a given period; For the number of business types, For the number of time periods (e.g., by hour).

[0060] Optionally, the second energy consumption change is determined based on the third and fourth data, including steps C1-C3: Step C1: Based on the fourth data, split it to obtain the first structural data and the second structural data; the first structural data is the business structural data corresponding to the business of the building in the target area in the first period; the second structural data is the business structural data corresponding to the business of the building in the target area in the second period.

[0061] Specifically, the fourth data is split based on the timestamp, into first structure data and second structure data.

[0062] The timestamps are the time intervals corresponding to the first period and the second period.

[0063] Step C2: Subtract the first structure data and the second structure data to obtain at least one difference value.

[0064] Specifically, the first structure data and the second structure data are subtracted according to the business correspondence to obtain at least one difference value.

[0065] Step C3: Determine the second energy consumption change based on at least one difference data and the third data.

[0066] Specifically, at least one difference data point is weighted and multiplied with the third data point to obtain the second energy consumption change.

[0067] The second change in energy consumption can be expressed as: ; Optionally, the data type of the fourth data shall include at least one of the following: operating area of ​​each business type, number of tenants, and operating hours coefficient.

[0068] Optionally, the carbon emission reduction rate is determined based on the first change in energy consumption and the second change in energy consumption, including steps D1-D2: Step D1: Based on the first relationship, determine the third energy consumption change based on the first energy consumption change and the second energy consumption change.

[0069] Specifically, the third energy consumption change is obtained by subtracting the first energy consumption change from the second energy consumption change based on the first relationship.

[0070] Specifically, the change in the third energy consumption can be expressed as:

[0071] Step D2: Negate the third energy consumption change and divide it by the first data to obtain the carbon emission reduction rate.

[0072] Specifically, the third change in energy consumption is negative, and the difference is taken with the first data. The product of this difference and the percentage is then used to obtain the carbon emission reduction rate.

[0073] The carbon emission reduction rate can be expressed as:

[0074] Optional, the process for determining the first relation includes steps E1-E4: Step E1: Subtract the preset variables from the first historical data to obtain the second equation; the preset variables are used to characterize the theoretical carbon emissions caused by building technology renovation.

[0075] The first historical data is recorded as follows: .

[0076] The preset variables are denoted as: .

[0077] Specifically, a preset variable is set, and the difference between the preset variable and the historical first data is calculated to obtain the second equation.

[0078] The second equation can be expressed as: .

[0079] Step E2: Subtract the historical second data from the preset variable to obtain the third process.

[0080] The second historical data is recorded as follows: .

[0081] Specifically, the difference between the historical second data and the preset variable is calculated to obtain the third process.

[0082] The third-party process can be represented as: .

[0083] Step E3: Summing the second equation and the third equation yields the first reference relation.

[0084] Specifically, the first equation and the third equation are summed, and like terms are combined to obtain the first reference relation.

[0085] The first reference relation is: .

[0086] Step E4: Determine the first relation based on the reference first relation and the preset first relation.

[0087] Specifically, the specific values ​​of the first historical dataset and the second historical dataset are respectively substituted into the reference first relation and the preset first relation for calculation. The difference between the calculated values ​​is calculated. If the difference satisfies the preset error term, then the reference first relation is approximately equal to the preset first relation, and thus the first relation can be obtained.

[0088] The first relation can be represented as: .

[0089] The presupposed first relation can be represented as: .in, This is the random error term.

[0090] The above decomposition method can accurately isolate the impact of changes in business structure, objectively evaluate the real carbon emission reduction contribution of technological transformation, and provide a scientific basis for evaluating the effectiveness of building energy-saving renovation.

[0091] The technical solution of this embodiment determines a first energy consumption change based on first and second data; determines a second energy consumption change based on third and fourth data; and determines a carbon emission reduction rate based on the first and second energy consumption changes. This method, by determining the first and second energy consumption changes, can obtain information characterizing the change in carbon emissions after the target area is modified. Determining the carbon emission reduction rate based on the first and second energy consumption changes allows for obtaining accurate information about the actual change in carbon emissions, thereby avoiding the misattribution of increased carbon emissions due to changes in building industry patterns to failed modifications.

[0092] Figure 2 This is a schematic diagram of a device for determining carbon emission reduction rates based on building renovation, provided in an embodiment of the present invention. This embodiment is applicable to situations where changes in carbon emissions caused by renovations need to be determined. This device for determining carbon emission reduction rates based on building renovations can be implemented in hardware and / or software, and can be configured in any electronic device with network communication capabilities. Figure 2 As shown, the device includes: a first energy consumption change determination module 210, a second energy consumption change determination module 220, and a carbon emission reduction rate determination module 230, wherein: First energy consumption change determination module 210: used to determine the first energy consumption change based on first data and second data; the first data is the carbon emissions of the building in the first period; the second data is the carbon emissions of the building in the second period; the first energy consumption change is used to characterize the change in carbon emissions caused by the renovation; the first period is the operating period of the building in the target area before the renovation; the second period is the operating period of the building in the target area after the renovation. Second Energy Consumption Change Determination Module 220: Used to determine the second energy consumption change based on the third and fourth data; the third data is the carbon emission intensity of the building in the first period; the fourth data is used to characterize the business structure change data of the building in the target area; Carbon emission reduction rate determination module 230: used to determine the carbon emission reduction rate based on the first energy consumption change and the second energy consumption change.

[0093] Optionally, the first energy consumption change determination module 210 includes: Preset condition determination unit: used to determine at least one preset condition; the preset condition is the business structure of the building in the target area in the first period; the business structure is the production structure of the complete production requirements of the equipment configured in the building. First area determination unit: used to determine at least one first area based on at least one preset condition; the first area is used to characterize the area of ​​the building in the target area corresponding to the business in the first period under the preset condition; the first period is the operating period before the building renovation. Second data determination unit: used to determine second data based on at least one first area and a first matrix; the second data is the carbon emission intensity of the service in the second period; the second period is the operating period after building renovation; the first matrix is ​​used to characterize the change in carbon emission intensity per unit area caused by technological renovation.

[0094] Optionally, the second data determining unit includes: Fifth Data Determination Subunit: Used to determine the fifth data; the fifth data is used to determine the consumption of carbon emission-related resources by buildings in the target area at historical times; determine the first label; the first label is the label of the business carried by the buildings in the target area; The first equation determines the sub-unit: used to generate the first equation based on the fifth data and the first label; The first matrix determines the sub-units: used to solve the first equation to obtain the first matrix.

[0095] Optionally, the second energy consumption change determination module 220 includes: Structural data determination unit: used to split according to the fourth data to obtain first structural data and second structural data; the first structural data is the business structure data corresponding to the business of buildings in the target area in the first period; the second structural data is the business structure data corresponding to the business of buildings in the target area in the second period. Difference data determination unit: used to subtract the first structure data and the second structure data to obtain at least one difference data; Second energy consumption change determination unit: used to determine the second energy consumption change based on at least one difference data and a third data.

[0096] Optionally, the data type of the fourth data shall include at least one of the following: operating area of ​​each business type, number of tenants, and operating hours coefficient.

[0097] Optionally, the carbon emission reduction rate determination module 230 includes: The third energy consumption change determination unit is used to determine the third energy consumption change based on the first relationship, the first energy consumption change, and the second energy consumption change. Carbon emission reduction rate determination unit: used to negative the third energy consumption change and divide it by the first data to obtain the carbon emission reduction rate.

[0098] Optionally, the third energy consumption change determination unit includes: The second equation determines the sub-unit: it is used to subtract the preset variables from the historical first data to obtain the second equation; the preset variables are used to characterize the theoretical carbon emissions caused by building technology renovation. The third equation determines the sub-unit: it is used to subtract the historical second data from the preset variable to obtain the third equation; The reference first relation is used to determine the sub-unit: it is used to sum the second equation and the third equation to obtain the reference first relation; First relation determination subunit: used to determine the first relation based on the reference first relation and the preset first relation.

[0099] The carbon emission reduction rate determination device based on modified buildings provided in this embodiment of the invention can execute the carbon emission reduction rate determination method based on modified buildings provided in any of the above embodiments of the invention. It has the corresponding functions and beneficial effects of executing the carbon emission reduction rate determination method based on modified buildings. For details, please refer to the relevant operations of the carbon emission reduction rate determination method based on modified buildings in the foregoing embodiments.

[0100] In one embodiment, Figure 3 This is a structural block diagram of an electronic device provided in an embodiment of the present invention, such as... Figure 3 The diagram illustrates a schematic representation of an electronic device 10 that can be used to implement embodiments of the present invention. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0101] like Figure 3 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., which is communicatively connected to the at least one processor 11. The memory stores a computer program that can be executed by the at least one processor 11, and the computer program is executed by the at least one processor 11 to enable the at least one processor 11 to perform the method provided by the present invention.

[0102] The processor 11 can perform various appropriate actions and processes based on a computer program stored in the read-only memory (ROM) 12 or a computer program loaded from the storage unit 18 into the random access memory (RAM) 13. The RAM 13 can also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0103] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0104] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the methods provided in this invention.

[0105] In some embodiments, the methods provided herein may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the methods described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to execute the methods by any other suitable means (e.g., by means of firmware).

[0106] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard parts (ASSPs), systems-on-chip (SoCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0107] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0108] In the context of this invention, a computer-readable storage medium stores computer instructions that are used to cause a processor to execute and implement the method provided by this invention.

[0109] The present invention also provides a computer program product comprising a computer program that, when executed by a processor, implements the method provided according to embodiments of the present invention. A computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. The computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, the computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0110] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0111] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0112] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0113] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0114] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for determining the carbon emission reduction rate based on building renovation, characterized in that, include: The first energy consumption change is determined based on the first data and the second data. The first data represents the carbon emissions of the building in the first period; The second data represents the carbon emissions of the building in the second period; The first change in energy consumption is used to characterize the change in carbon emissions caused by the renovation; The first period is the operational period before the renovation of buildings within the target area; The second period is the operational period during which the buildings within the target area are renovated; The second energy consumption change is determined based on the third and fourth data. The third data is the carbon emission intensity of the building in the first period; the fourth data is used to characterize the changes in the business structure of buildings within the target area. The carbon emission reduction rate is determined based on the first change in energy consumption and the second change in energy consumption.

2. The method according to claim 1, characterized in that, The process of determining the second data includes: Determine at least one preset condition; the preset condition is the business structure of buildings within the target area in the first period; the business structure is the production structure that meets the complete production needs of the equipment configured within the building. At least one first area is determined based on at least one preset condition; the first area is used to characterize the area of ​​the building within the target area corresponding to the business in a first period under the preset condition; the first period is the operating period before the building renovation. The second data is determined based on the at least one first area and the first matrix; the second data represents the carbon emission intensity of the service in the second period; the second period is the operating period after building renovation; the first matrix is ​​used to characterize the change in carbon emission intensity per unit area caused by technological renovation.

3. The method according to claim 2, characterized in that, The methods for determining the first matrix include: Determine the fifth data; the fifth data is used to determine the consumption of carbon emission-related resources by buildings in the target area at a historical time; determine the first tag; the first tag is the tag of the business carried by the buildings in the target area; A first equation is generated based on the fifth data and the first label; Solving the first equation yields the first matrix.

4. The method according to claim 1, characterized in that, The determination of the second energy consumption change based on the third and fourth data includes: Based on the fourth data, we can split it to obtain first structural data and second structural data; the first structural data is the business structure data corresponding to the business of buildings in the target area in the first period; the second structural data is the business structure data corresponding to the business of buildings in the target area in the second period. Subtract the first structural data and the second structural data to obtain at least one difference value; The second energy consumption change is determined based on the at least one difference data and the third data.

5. The method according to claim 1, characterized in that, The data types of the fourth type should include at least one of the following: operating area of ​​each business type, number of tenants, and operating hours coefficient.

6. The method according to claim 1, characterized in that, The step of determining the carbon emission reduction rate based on the first energy consumption change and the second energy consumption change includes: Based on the first relationship, the third energy consumption change is determined according to the first energy consumption change and the second energy consumption change; The carbon emission reduction rate is obtained by negativening the third energy consumption change and dividing it by the first data.

7. The method according to claim 6, characterized in that, The process of determining the first relationship includes: The second equation is obtained by subtracting the preset variables from the historical first data; the preset variables are used to characterize the theoretical carbon emissions caused by building technology renovation. The difference between the second historical data and the preset variable is used to obtain the third-party process; Summing the second equation with the third equation yields the first reference relation; The first relation is determined based on the reference first relation and the preset first relation.

8. A device for determining carbon emission reduction rate based on building renovation, characterized in that, include: The first energy consumption change determination module is used to determine the first energy consumption change based on the first data and the second data. The first data represents the carbon emissions of the building in the first period; the second data represents the carbon emissions of the building in the second period; the first energy consumption change is used to characterize the change in carbon emissions caused by the renovation. The first period is the operational period before the renovation of buildings within the target area; The second period is the operational period during which the buildings within the target area are renovated; The second energy consumption change determination module is used to determine the second energy consumption change based on the third and fourth data. The third data is the carbon emission intensity of the building in the first period; the fourth data is used to characterize the changes in the business structure of buildings within the target area. The carbon emission reduction rate determination module is used to determine the carbon emission reduction rate based on the first energy consumption change and the second energy consumption change.

9. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor to enable the at least one processor to perform the carbon emission reduction rate determination method based on any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute the method for determining the carbon emission reduction rate based on any one of claims 1-7.

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