Carbon emission monitoring method and device, storage medium and processor

Abstract

The application discloses a carbon emission monitoring method and device, a storage medium and a processor. The method comprises the following steps: monitoring a plurality of power consumption data of a target object in a preset period; accumulating the plurality of power consumption data to determine the power consumption of the target object; obtaining a target electric-carbon conduction coefficient of the target object, wherein the target electric-carbon conduction coefficient represents the correlation between the power consumption and the carbon emission of the target object; and monitoring the industrial carbon emission of the target object in the preset period based on the power consumption and the target electric-carbon conduction coefficient. The application solves the technical problem that carbon emission cannot be accurately monitored.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of monitoring, in particular to a carbon emission monitoring method and device, a storage medium and a processor. BACKGROUND

[0002] At present, environmental pollution is increasingly serious, which seriously endangers human health. Common environmental problems include flue gas pollution, haze pollution, etc. Although carbon dioxide cannot directly endanger human health, it is the most common greenhouse gas in the air. Since the industrial revolution, the amount of carbon dioxide and other strong heat-absorbing greenhouse gases discharged into the atmosphere by humans has increased year by year, and the greenhouse effect of the atmosphere has also been enhanced. A series of problems caused thereby have attracted the attention of the world.

[0003] There are mainly two kinds of widely used greenhouse gas emission quantification methods, namely, a calculation-based method and a continuous monitoring-based method. The calculation-based method refers to quantifying the amount of greenhouse gas emissions by multiplying activity data by emission factors or by calculating the carbon mass balance in the production process. The continuous monitoring-based method calculates the amount of greenhouse gas emissions by directly measuring the flow rate of flue gas and the concentration of CO2 in the flue gas, which is mainly realized through a continuous emission monitoring system (CEMS).

[0004] The continuous emission monitoring system (CEMS) mainly includes a gas sampling and condition control system, a gas monitoring and analysis system, a data acquisition and control system, etc. Since the continuous monitoring method can monitor the amount of greenhouse gas emissions from fixed emission sources in real time and automatically, without the need to distinguish and separately calculate the amount of emissions from various types of fuel, it has the characteristics of more intuitive data display and simple operation. The disadvantage of this method is that it is only suitable for centralized flue ducts and is not suitable for dispersed emission sources. At the same time, replacing or optimizing the existing measurement system will result in a higher monitoring cost and an increase in regulatory costs. Finally, this method will result in a higher risk of production system errors, such as improper installation and calibration of measurement equipment or incorrect computer parameter settings.

[0005] In view of the above problem that carbon emission monitoring cannot be accurately performed, no effective solution has been proposed so far. SUMMARY

[0006] The embodiments of the present application provide a carbon emission monitoring method, device, storage medium and processor to at least solve the technical problem that carbon emission monitoring cannot be accurately performed.

[0007] According to an aspect of the embodiments of the present application, a carbon emission monitoring method is provided, comprising: monitoring a plurality of power consumption data of a target object in a preset time period; accumulating the plurality of power consumption data to determine a power consumption of the target object; obtaining a target electric-carbon conductance coefficient of the target object, wherein the target electric-carbon conductance coefficient represents a correlation between the power consumption and a carbon emission of the target object; and monitoring an industry carbon emission of the target object in the preset time period based on the power consumption and the target electric-carbon conductance coefficient.

[0008] Optionally, the power consumption data at least includes voltage, current, and power collected at a preset time interval, and the accumulating the plurality of power consumption data to determine the power consumption of the target object comprises: accumulating a plurality of currents and voltages of the target object in the preset time period to determine the power consumption of the target object; or accumulating a plurality of powers of the target object in the preset time period to determine the power consumption of the target object.

[0009] Optionally, the obtaining the target electric-carbon conductance coefficient of the target object comprises: identifying a target industry in which the target object is located; and obtaining a target electric-carbon conductance coefficient of the target industry based on a preset industry database, wherein the preset industry database comprises a plurality of preset industries and a target electric-carbon conductance coefficient corresponding to each of the preset industries, the preset industries include the target industry, and the target electric-carbon conductance coefficient includes the target electric-carbon conductance coefficient.

[0010] Optionally, the obtaining the target electric-carbon conductance coefficient of the target object comprises: identifying a target region in which the target object is located; and obtaining a target electric-carbon conductance coefficient of the target region based on a preset region database, wherein the preset region database comprises a plurality of preset regions and a target electric-carbon conductance coefficient corresponding to each of the preset regions, the preset regions include the target region, and the target electric-carbon conductance coefficient includes the target electric-carbon conductance coefficient.

[0011] Optionally, the obtaining the target electric-carbon conductance coefficient of the target object comprises: identifying an industry type of the target object, wherein the industry type includes a target industry, and the carbon emission of the target industry is entirely from power consumption; in a case that the target object belongs to the target industry, obtaining a regional power consumption and a regional carbon emission of a target region in which the target object is located; and determining the target electric-carbon conductance coefficient according to the regional power consumption and the regional carbon emission.

[0012] Optionally, the acquiring the regional electricity consumption and the regional carbon emission of the target region where the target object is located comprises: acquiring an electricity consumption structure of the target region, wherein the electricity consumption structure is used to indicate that the electricity consumption of the target region comprises local electricity consumption and input electricity consumption; identifying at least one power supply region providing the input electricity consumption and a power supply amount of each of the power supply regions; acquiring a power generation carbon emission coefficient of each of predetermined regions, wherein the predetermined regions at least comprise the target region and the power supply regions; determining a local carbon emission amount based on the power generation carbon emission coefficient of the target region and the local electricity consumption; determining an input carbon emission amount based on the power generation carbon emission coefficient of at least one of the power supply regions and the power supply amount of each of the power supply regions; and determining the regional carbon emission amount according to the local carbon emission amount and the input carbon emission amount.

[0013] According to another aspect of the embodiments of the present application, a carbon emission monitoring device is further provided, comprising: a first monitoring unit configured to monitor a plurality of electricity consumption data of a target object in a preset time period; an accumulation unit configured to accumulate the plurality of electricity consumption data to determine an electricity consumption of the target object; an acquisition unit configured to acquire a target electricity-carbon transmission coefficient of the target object, wherein the target electricity-carbon transmission coefficient indicates a correlation between the electricity consumption and a carbon emission of the target object; and a second monitoring unit configured to monitor an industry carbon emission of the target object in the preset time period based on the electricity consumption and the target electricity-carbon transmission coefficient.

[0014] Optionally, the electricity consumption data at least comprises voltage, current and power collected in a preset time interval, and the accumulation unit comprises: a first accumulation module configured to accumulate a plurality of currents and voltages of the target object in the preset time period to determine the electricity consumption of the target object; or a second accumulation module configured to accumulate a plurality of powers of the target object in the preset time period to determine the electricity consumption of the target object.

[0015] According to another aspect of the embodiments of the present application, a computer readable storage medium is further provided, comprising a stored program, wherein the program controls a device where the computer readable storage medium is located to execute the carbon emission monitoring method when the program is running.

[0016] According to another aspect of the embodiments of the present application, a processor is further provided, wherein the processor is configured to run a program, and the program is configured to execute the carbon emission monitoring method when the program is running.

[0017] In the embodiment of the present application, the multiple power consumption data of the target object in a preset period are monitored; the power consumption of the target object is determined by accumulating the multiple power consumption data; the target electric-carbon conduction coefficient of the target object is obtained, wherein the target electric-carbon conduction coefficient represents the correlation between the power consumption and the carbon emission of the target object; the industrial carbon emission of the target object in the preset period is monitored based on the power consumption and the target electric-carbon conduction coefficient; thus, the correlation between the power consumption and the carbon emission of the target object can be reflected according to the target electric-carbon conduction coefficient, and the industrial carbon emission of the target object can be monitored by monitoring the multiple power consumption data of the target object in the preset period, so as to achieve the purpose of monitoring the industrial carbon emission according to the power consumption data, realize the technical effect of accurately monitoring the carbon emission, and solve the technical problem that the carbon emission cannot be accurately monitored. BRIEF DESCRIPTION OF DRAWINGS

[0018] The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and serve to explain the principles of the application, and do not limit the application. In the drawings:

[0019] Figure 1 is a flow chart of a carbon emission monitoring method according to an embodiment of the present application;

[0020] Figure 2 is a flow chart of an enterprise carbon emission accounting method based on the comprehensive responsibility principle according to an embodiment of the present application;

[0021] Figure 3 is a schematic diagram of a carbon emission monitoring device according to an embodiment of the present application;

[0022] Figure 4 is a structural block diagram of a computer terminal according to an embodiment of the present application. DETAILED DESCRIPTION

[0023] In order to enable persons skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the accompanying drawings of the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by persons skilled in the art without creative labor should fall within the protection scope of the present application.

[0024] It should be noted that the terms "first", "second", and the like in the description and in the claims of the present application and in the above-described drawings are intended to distinguish similar objects and not necessarily describe a particular chronological or sequential order. It should be understood that the data thus used can be interchanged, where appropriate, so that the embodiments of the application described herein can be practiced in other than the illustrated or described order. Furthermore, the terms "comprise" and "have" and any variations thereof are intended to cover a non-exclusive inclusion, for example, a process, method, system, product, or apparatus that comprises a list of steps or units is not necessarily limited to those steps or units that are clearly listed, but can include other steps or units that are not clearly listed or inherent to such processes, methods, products, or apparatuses.

[0025] According to an embodiment of the present application, a carbon emission monitoring method embodiment is provided. It should be noted that the steps shown in the flowchart of the drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described herein can be executed in an order different from that shown herein.

[0026] Figure 1 is a flowchart of a carbon emission monitoring method according to an embodiment of the present application, as shown in Figure 1 The method comprises the following steps:

[0027] Step S102, monitoring a plurality of power consumption data of the target object in a predetermined period;

[0028] Step S104, accumulating a plurality of power consumption data to determine the power consumption of the target object;

[0029] Step S106, obtaining a target electric carbon conductance coefficient of the target object, wherein the target electric carbon conductance coefficient represents the correlation between the power consumption and the carbon emission of the target object;

[0030] Step S108, based on the power consumption and the target electric carbon conductance coefficient, monitoring the industry carbon emission of the target object in the predetermined period.

[0031] By the above steps, the multiple power consumption data of the target object in the preset time period are monitored, the power consumption of the target object is determined by accumulating the multiple power consumption data, the target electric-carbon conduction coefficient of the target object is obtained, the target electric-carbon conduction coefficient represents the correlation between the power consumption and the carbon emission of the target object, the industrial carbon emission of the target object in the preset time period is monitored based on the power consumption and the target electric-carbon conduction coefficient, and thus the correlation between the power consumption and the carbon emission of the target object can be reflected according to the target electric-carbon conduction coefficient, the industrial carbon emission of the target object can be monitored by monitoring the multiple power consumption data of the target object in the preset time period, the purpose of monitoring the industrial carbon emission according to the power consumption is achieved, the technical effect of accurately monitoring the carbon emission is achieved, and the technical problem that the carbon emission cannot be accurately monitored is solved.

[0032] Optionally, the preset time period can be determined according to the monitoring period of the target object, for example, the carbon emission data of the target object within 24 hours can be reflected by monitoring the power consumption data of the target object within 24 hours.

[0033] As an optional embodiment, the power consumption data at least includes voltage, current, and power collected according to a preset time interval, and the power consumption of the target object is determined by accumulating the multiple current and voltage of the target object in the preset time period, or the power consumption of the target object is determined by accumulating the multiple power of the target object in the preset time period.

[0034] Optionally, the preset time interval can be 1 hour.

[0035] Optionally, the calculation formula of the power consumption includes power consumption = voltage * current * time, and the power consumption of the target object in the preset time period can be obtained by accumulating the multiple current and voltage data of the target object collected according to the preset time interval in the preset time period.

[0036] Optionally, the calculation formula of the power consumption includes power consumption = power * time, and the power consumption of the target object in the preset time period can be obtained by accumulating the multiple power of the target object collected according to the preset time interval in the preset time period.

[0037] In the above step S108, monitoring the industrial carbon emission of the target object in the preset time period based on the power consumption and the target electric-carbon conduction coefficient includes: the preset time period can be divided into multiple monitoring time periods according to the preset time interval, wherein two adjacent preset time intervals can determine a monitoring time period; the monitoring power consumption of the monitoring time period can be determined according to the power consumption data of each monitoring time period; the monitoring carbon emission of each monitoring time period can be obtained according to the monitoring power consumption and the target electric-carbon conduction coefficient; and the industrial carbon emission of the target object in the preset time period can be obtained by accumulating the monitoring carbon emission of the multiple monitoring time periods.

[0038] As an optional embodiment, the target electricity-carbon conduction coefficient of the target object is obtained by: identifying a target industry in which the target object is located; and obtaining the target electricity-carbon conduction coefficient of the target industry based on a preset industry database, wherein the preset industry database comprises a plurality of preset industries and a target electricity-carbon conduction coefficient corresponding to each preset industry, the preset industries comprise the target industry, and the target electricity-carbon conduction coefficient comprises the target electricity-carbon conduction coefficient.

[0039] The above embodiments of the present application can determine the target electricity-carbon conduction coefficients of a plurality of preset industries, establish a preset industry database according to the preset industries and the corresponding target electricity-carbon conduction coefficients, and then determine the target industry in which the target object is located, and query the target electricity-carbon conduction coefficient of the target industry from the preset industry database, so as to obtain the target electricity-carbon conduction coefficient of the target object.

[0040] Optionally, the target electricity-carbon conduction coefficient of the preset industry is determined by extracting a plurality of sample objects from each preset industry, determining the carbon emission and the electricity consumption of each sample object, and determining the target electricity-carbon conduction coefficient of each preset industry according to the carbon emission and the electricity consumption of the sample objects in the same preset industry.

[0041] For example, five sample objects are extracted from the preset industry, which are object A, object B, object C, object D and object E, wherein the electricity consumption of object A is electricity consumption A, and the carbon emission of object A is carbon emission A; the electricity consumption of object B is electricity consumption B, and the carbon emission of object B is carbon emission B; the electricity consumption of object C is electricity consumption C, and the carbon emission of object C is carbon emission C; the electricity consumption of object D is electricity consumption D, and the carbon emission of object D is carbon emission D; the electricity consumption of object E is electricity consumption E, and the carbon emission of object E is carbon emission E; and the target electricity-carbon conduction coefficient of the preset industry can be (carbon emission A+carbon emission B+carbon emission C+carbon emission D+carbon emission E) / (electricity consumption A+electricity consumption B+electricity consumption C+electricity consumption D+electricity consumption E); or (carbon emission A / electricity consumption A+carbon emission B / electricity consumption B+carbon emission C / electricity consumption C+carbon emission D / electricity consumption D+carbon emission E / electricity consumption E) / 5.

[0042] As an optional embodiment, the target electricity-carbon conduction coefficient of the target object is obtained by: identifying a target region in which the target object is located; and obtaining the target electricity-carbon conduction coefficient of the target region based on a preset region database, wherein the preset region database comprises a plurality of preset regions and a target electricity-carbon conduction coefficient corresponding to each preset region, the preset regions comprise the target region, and the target electricity-carbon conduction coefficient comprises the target electricity-carbon conduction coefficient.

[0043] The above embodiment of the present application can determine the target electric carbon conductance coefficients of a plurality of preset regions in advance, and establish a preset region database according to the preset regions and the corresponding target electric carbon conductance coefficients. In the process of obtaining the target electric carbon conductance coefficient of the target object, the target region where the target object is located can be determined first, and then the target electric carbon conductance coefficient of the target region can be queried from the preset region database, so that the target electric carbon conductance coefficient of the target object is obtained.

[0044] It should be noted that the carbon emission consumption generated by power generation using different resources also differs according to the power supply region of the power grid. For example, the carbon emission amount generated by thermal power generation based on fossil resources such as coal and oil and gas will be much larger than the carbon emission amount generated by power generation based on solar energy, water energy and wind energy. Furthermore, due to the differences in geographical location and natural resources of each preset region, the power generation structure thereof also differs. For example, the power generation structure of a region rich in fossil resources such as coal and oil and gas may be mainly thermal power generation; the power generation structure of a region with sufficient light may be mainly solar power generation; the power generation structure of a region rich in water energy resources may be mainly water power generation; and the power generation structure of a region rich in wind energy resources may be mainly wind power generation. Therefore, the carbon emission amount generated by different preset regions for producing a unit of electricity also differs, and thus the target electric carbon conductance coefficients of different preset regions do not differ.

[0045] As an optional embodiment, obtaining the target electric carbon conductance coefficient of the target object includes: identifying an industry type of the target object, wherein the industry type includes a target industry, and the carbon emission amount of the target industry is all from power consumption; in a case where the target object belongs to the target industry, obtaining a regional power consumption and a regional carbon emission amount of a target region where the target object is located; and determining the target electric carbon conductance coefficient according to the regional power consumption and the regional carbon emission amount.

[0046] In the above embodiment of the present application, the carbon emission amount of the target industry is all from power consumption, and in a case where the target object belongs to the target industry, the carbon emission amount of the target object is all from power consumption. Therefore, in the process of determining the carbon emission amount of the target object, the target electric carbon conductance coefficient can be determined according to the regional power consumption and the regional carbon emission amount of the target region where the target object is located.

[0047] It should be noted that the regional carbon emission amount of the target region can be the carbon emission amount generated by power generation for the target region. Since the carbon emission amount of the target object is all from power consumption, the industry carbon emission amount of the target object is also all from the carbon emission amount generated by power generation for the target object. Therefore, the target electric carbon conductance coefficient can be determined according to the regional carbon emission amount and the regional power consumption of the target region where the target object is located.

[0048] Optionally, the industry type further comprises: a specific industry with carbon emissions including power consumption and resource consumption, a specific industry power-based power carbon emission can be determined based on power consumption (i.e. power consumption) of the specific industry, and a specific industry production carbon emission can be determined based on resource consumption of the specific industry, wherein the power-based power carbon emission of the specific industry can be determined according to the regional power carbon transmission coefficient and the power consumption of the specific industry, the regional power carbon transmission coefficient can be determined according to the regional carbon emission and the regional power consumption of the target region where the target object is located, and the production carbon emission can be directly determined according to the resource consumption of the specific industry; the industry carbon emission of the specific industry can be determined based on the power-based power carbon emission and the production carbon emission of the specific industry, and the specific power carbon transmission coefficient of the specific industry can be determined based on the industry carbon emission and the power consumption of the specific industry.

[0049] Optionally, obtaining the regional power consumption and the regional carbon emission of the target region where the target object is located comprises: obtaining the regional power consumption and the regional carbon emission of the target region in a specified period.

[0050] Optionally, obtaining the regional power consumption and the regional carbon emission of the target region where the target object is located comprises: obtaining the regional power consumption and the regional carbon emission of the target region in a specified period.

[0051] Optionally, the specified period can be a quarter or a month.

[0052] It should be noted that the change of renewable energy power generation structure in different quarters includes the change of wet and dry water period and the change of wind power generation, etc., so that the regional power consumption and the regional carbon emission of the target region can be determined based on a quarter or a month, and the relationship between the regional power consumption and the regional carbon emission of the target region in different quarters can be reflected.

[0053] As an optional embodiment, obtaining the regional power consumption and the regional carbon emission of the target region where the target object is located comprises: obtaining a power consumption structure of the target region, wherein the power consumption structure is used to represent that the power consumption of the target region includes local power and input power; identifying at least one power supply region providing the input power and the power supply amount of each power supply region; obtaining a power generation carbon emission coefficient of each predetermined region, wherein the predetermined region at least includes: the target region and the power supply region; determining a local carbon emission amount based on the power generation carbon emission coefficient of the target region and the local power; determining an input carbon emission amount based on the power generation carbon emission coefficient of at least one power supply region and the power supply amount of each power supply region; and determining the regional carbon emission according to the local carbon emission amount and the input carbon emission amount.

[0054] The power generated in each predetermined area can be consumed locally or transmitted to other areas for consumption, but the transfer of carbon emissions exists between each predetermined area, and therefore, when determining the regional carbon emissions of the target area, it is necessary to determine the power consumption structure of the target area, to determine which of the power consumption of the target area is from the local power generated by the local power generation of the target area, and which is from the input power generated by other predetermined areas, and then calculate the local carbon emissions corresponding to the local power and the input carbon emissions corresponding to the input power, and determine the regional carbon emissions based on the local carbon emissions and the input carbon emissions, thereby realizing the technical effect of accurately determining the regional carbon emissions of the target area.

[0055] Optionally, the power generation carbon emission coefficient of each predetermined area is determined according to the power generation amount and the power generation carbon emission amount of power generation of each predetermined area.

[0056] The application also provides a preferred embodiment, which provides an education industry carbon emission monitoring method based on electric carbon transmission coefficient.

[0057] The purpose of the application is to formulate a target area education industry carbon emission monitoring scheme based on electric power big data based on electric carbon transmission coefficient, and form a carbon emission total amount monitoring and accounting system of different enterprises. After forming the accounting system, the correlation mechanism between the industry or enterprise and the carbon emission is established by using the electric power consumption big data of the target area education industry enterprise, and the environmental pressure of different enterprises is monitored based on the electric power big data.

[0058] Figure 2 It is a flow chart of an enterprise carbon emission accounting method based on the comprehensive responsibility principle according to an embodiment of the application, as shown in Figure 2 , including the following steps:

[0059] S1, determining inter-regional power high-order transmission;

[0060] S2, determining the total inflow and power consumption of inter-regional power;

[0061] S3, based on S1 and S2, determining a power consumption structure matrix (i.e., a power consumption structure) by using a network analysis method, wherein the power consumption structure matrix is used to connect the power generation and power consumption of each region, and represents the proportion of each degree of power generated by each predetermined area.

[0062] S4, obtaining inter-regional power high-order transmission, wherein it includes power produced based on 18 kinds of energy inputs such as raw coal, other washed coal, coal gangue, coke oven gas, and natural gas.

[0063] S5, determining the inter-regional power implicit carbon flow based on steps S3 and S4;

[0064] S6, determining the regional electric carbon conductance coefficient of the region;

[0065] S7, obtaining the direct carbon emissions of the industry in the region (i.e., determining the production carbon emissions), such as based on coal, coke, gasoline, kerosene, diesel, fuel oil, liquefied petroleum gas, and natural gas;

[0066] S8, determining the electric carbon emissions of the industry in the region based on S6;

[0067] S9, determining the regional carbon emissions based on S7 and S8;

[0068] S10, obtaining the electricity consumption of the industry;

[0069] S11, determining the target electric carbon conductance coefficient based on S9 and S10;

[0070] S12, determining the carbon emissions of the industry.

[0071] Optionally, an education industry carbon emission monitoring method based on electric carbon conductance coefficient includes the following steps:

[0072] A, first, through carbon verification, the carbon emissions and related information reported by the key enterprises of the target regional education industry are comprehensively verified and investigated. And the direct carbon emission factor of the target regional power production is obtained by using the department accounting method;

[0073] B, using network analysis method, the indirect carbon emissions caused by the target regional power import is accounted, the indirect carbon emission factor is calculated, and the annual factor is further refined into quarterly factor;

[0074] C, finally, based on the foregoing steps, the carbon emission factor based on electricity consumption of the target region is obtained, and the carbon emission situation of different enterprises of the target regional education industry at different time scales is further measured combined with the education industry power consumption big data.

[0075] Optionally, for the above step A, first, through carbon verification, the carbon emissions and related information reported by the key enterprises of the target regional education industry are comprehensively verified and investigated. And the direct carbon emission coefficient of the target regional power production is obtained by using the department accounting method, the direct carbon emissions of the power of different fossil fuels in the target region are calculated, and the carbon emissions are obtained by multiplying the power consumption of the emission source by the carbon emission factor of the emission source.

[0076] Optionally, the above step A specifically includes the following steps:

[0077] A1, carbon emission data and power consumption data verification: calculate and count the historical data of carbon emissions of key enterprises in the target regional education industry and the historical data of power consumption in the target region. Determine the energy consumption of power production in the target region, mainly including coal consumption, oil consumption and natural gas consumption. Secondly, determine the carbon emission factor, which is the coefficient of CO2 emission of a certain energy consumption process. For example, the amount of CO2 involved in the energy consumption of generating one kilowatt-hour of electricity is the CO2 emission coefficient of the power generation process. Collect energy consumption data and carbon emission factor data of power production.

[0078] Optionally, according to the target regional education industry carbon emission accounting method and related technical specifications, the carbon emissions and related information reported by key enterprises are comprehensively verified and investigated, and the target regional carbon emission data and power consumption data are collected.

[0079] Optionally, the value of the power consumption activity data of the enterprise is verified, including the verification content, which should include the monitoring method, monitoring frequency, recording frequency, data missing treatment and the like of the power consumption activity data. For the data sample supporting method, verification should be carried out by considering the sampling method, sampling quantity and sample representativeness. Secondly, the verification of direct energy consumption of power departments in different provinces, including the verification of the calculation results of the amount and emission amount of different energy varieties, whether the emission calculation formula is correct, whether the emission accumulation is correct, whether the emission calculation is reproducible and the like are confirmed. By comparing the emission report of the previous year, by analyzing the change and fluctuation of production data and emission data, it is confirmed whether the emission is reasonable or not. Finally, the verification of the power flow between regions is carried out. The amount and direction of power flow between each power grid and province change every year, because it involves the calculation of carbon emission coefficient of external power, so the energy consumption and carbon emission need to be verified. By comparing the power flow data of the previous year, by analyzing the change and fluctuation of the data, it is confirmed whether the flow amount data is reasonable or not.

[0080] A2, direct carbon emission calculation of power consumption in target regional education industry: collect real-time data of power consumption of key enterprises in target regional education industry through enterprise electric meter, and multiply the power consumption of key enterprises in target regional education industry by the carbon emission factor of the emission source to obtain the direct carbon emission.

[0081] Optionally, the direct carbon emission calculation of power production includes: using the department accounting method to calculate the direct carbon emission of power in the target region and between regions, and the direct carbon emission result of power in other regions is the data basis for calculating the indirect carbon emission caused by consuming different regional inflow power in the region. The total CO2 emission generated by the power industry in the target region using m different types of fossil fuels is:

[0082]

[0083] where e G represents the total CO2 emissions of the target region, fc k represents the input amount of the kth fossil fuel used for power generation in the target region, ef k represents the CO2 emission factor of the kth fossil fuel.

[0084] Alternatively, for the above step B, due to the spatial mismatch between power supply and demand, there is large-scale direct power flow among regions in China through the power transmission network, and the carbon emissions hidden in the power supply also flow through the power transmission network. The accounting of carbon emissions caused by electricity consumption in different regions is often not accurate enough. The network analysis method assumes that the electricity purchased by a region is first mixed with the locally produced electricity, and then used for local consumption or sold out. Using the network analysis method, the carbon emissions hidden in the purchased electricity can be calculated, and then the indirect carbon emission factor is obtained.

[0085] Alternatively, the above step B specifically includes the following steps:

[0086] B1, network analysis method accounts for indirect carbon emissions: assuming that the electricity purchased by a region is first mixed with the locally produced electricity, and then used for local consumption or sold out. The sum of the inflow electricity and the produced electricity of a region is equal to the sum of the outflow electricity and the consumed electricity of the region. When accounting for the indirect carbon emissions of power consumption in the target region, each power grid can be regarded as a node in the network, and the power flow among different power grids in the power transmission network can be regarded as the edge in the network. In this patent, each province can be regarded as a power grid, and the total inflow and total outflow of each node in the power transmission network can be determined according to the power flow data among different provinces. The sum of the inflow electricity and the produced electricity of a region is equal to the sum of the outflow electricity and the consumed electricity of the region. It can be expressed by the formula as follows:

[0087]

[0088] where x i represents the total power flow of region i, p i and c i represent the local power generation and local power consumption of region i, respectively, and T ij represents the amount of electricity transmitted from region i to region j.

[0089] Alternatively, given the power flow among n regions, an n x n power flow matrix T can be obtained:

[0090]

[0091] Optionally, according to the total amount of power outflow (or inflow) of each region, a power direct outflow matrix B (i.e. inter-regional power high-order transmission) can be defined as follows:

[0092]

[0093] B2, calculate the power consumption structure matrix: define the production-consumption matrix based on the target region power inflow matrix, i.e. the power consumption structure matrix, as follows: wherein, is a diagonal matrix composed of power consumption of each region, represents the total power flow, and G represents the direct and indirect power flow between regions. The matrix H links the power production and power consumption of different regions, and the element H ij = g ij · c j / x j in the matrix represents the total amount of power consumed by region j per unit of power generated by region i.

[0094] Optionally, the (i, j) element in the matrix B represents the proportion of the total power of region i flowing to region j, which is represented by the formula: x = p + xB; derivation can obtain: x = p(I-B) -1 = pG, wherein I is a unit matrix, and G = (I-B) -1 = I + B + B 2 + B 3 + L represents the direct and indirect power flow between regions, wherein the element g ij represents the total amount of power flowing into region j per unit of power generated by region i, including the total amount of power flowing through transit regions and not through transit regions. The unit matrix I represents the power flow within the region, B 2 represents the power flow through one transit region, B 3 represents the power flow through two transit regions, and so on.

[0095] Define the production-consumption matrix, i.e. the power consumption structure, as follows: wherein, is a diagonal matrix composed of power consumption of each region, for the purpose of maintaining consistency of different chapters and data in the project, the power consumption of each region in the project is equal to the power generation of the region plus the inflow minus the outflow. The matrix H links the power production and power consumption of different regions, and the element H ij = g ij · c j / x j in the matrix represents the total amount of power consumed by region j per unit of power generated by region i.

[0096] Carbon emissions generated by electricity generation in various regions Composition vector E G After diagonalizing it, the production-consumption matrix can be linked to electricity consumption:

[0097]

[0098] E in the formula C The (i,j)th element This indicates the carbon emissions implied in the electricity consumed by region j from region i.

[0099] B3. Further calculations yield the carbon emissions implied in electricity consumption for each region. Based on the above results, the carbon emissions implied in electricity consumption for each region, and the corresponding indirect carbon emission factor, can be calculated: e C =[1,L,1]E C , Among them, e C Let ef be an n-dimensional row vector representing the carbon emissions implied in electricity consumption in each region. C Let be an n-dimensional row vector, where the elements are... This represents the CO2 emission coefficient of the electricity used in region j.

[0100] Furthermore, the quarterly carbon emission factor for electricity consumption in the target region is calculated using network analysis. Building upon the annual unit, the calculation is reduced to a quarterly level by considering the power generation structure across regions at different times. This reveals changes in the renewable energy power generation structure across different quarters, including variations during wet and dry seasons and wind power generation. Assuming that carbon emissions from thermal power generation are proportional to the amount of thermal power generated each quarter, the carbon emission factor for electricity consumption in the corresponding quarter is calculated using thermal power generation data for different quarters in each region.

[0101] Optionally, for step C above, based on the direct and indirect carbon emission factors of each industry in the target area based on electricity consumption obtained from the aforementioned steps, the carbon transmission coefficient of the target area is calculated, and the carbon emission situation of the education industry in the target area is further calculated by combining the big data of electricity consumption in the target area.

[0102] Optionally, step C above specifically includes the following steps:

[0103] C1. After calculating the indirect carbon emissions caused by electricity imports to the target area using the aforementioned method, the direct carbon emissions calculated in step A are superimposed to obtain the total carbon emissions of the target area. The total carbon emissions of the target area are then divided by the electricity consumption of the target area in the corresponding year to obtain the carbon transmission coefficient.

[0104] C2. Real-time monitoring of electricity consumption data of key enterprises in the education sector in the target area is conducted using electricity meters, and the practical electricity data is transmitted to the model computing terminal.

[0105] C3. By multiplying the carbon conduction coefficient obtained in the preceding steps with the real-time high-frequency electricity consumption data of education sector enterprises in the target area, the carbon emissions of different enterprises in the education sector and the overall electricity consumption of the education sector in the target area can be monitored in real time. This can be expressed by the formula: C it =E it ×coefe, where C it E represents the carbon emissions of education sector company i in the target region at time t. it Let represent the electricity consumption of the corresponding enterprise at the same time, and let coefe represent the overall carbon emission factor of the industry. Integrating the above formula over time t yields the carbon emissions of the corresponding enterprise at different time spans, expressed by the formula:

[0106] Optionally, by scientifically monitoring the electricity consumption of different educational enterprises, processing and analyzing the data collected by smart meters, a 24-hour uninterrupted intelligent monitoring system can be formed, thereby enabling reasonable monitoring of the carbon emissions of enterprises, achieving monitoring of carbon emissions in enterprise production, filling the regulatory gap between environmental protection departments and enterprises, and improving the effect of carbon emission reduction.

[0107] The technical solution provided by this invention constructs an hourly carbon emission monitoring system for education sector enterprises in a target region based on electricity big data. This system enables continuous and dynamic monitoring of enterprise carbon emissions with high accuracy and wide coverage. Moreover, the monitoring method is based on existing electricity big data, requiring no additional equipment or device investment, making it highly economical compared to other methods. Currently, existing carbon emission monitoring is based on annual statistics of fossil fuel consumption, with large time granularity and long lag periods, making it impossible to effectively and comprehensively monitor carbon emissions. Furthermore, the objectivity and accuracy of energy statistics are easily questioned, raising reliability concerns. To achieve high-precision and low-time-granularity monitoring of enterprises, current monitoring methods employ chemical devices or spectral analysis instruments, requiring significant investment in equipment. Considering the diverse types and entities involved in carbon emission control, and the high cost of precise monitoring and metering equipment, large-scale monitoring and equipment installation present significant challenges. This project takes a different approach, constructing a carbon emission monitoring system for different industry enterprises based on the correlation between electricity consumption and total carbon emissions. This leverages existing electricity big data to achieve effective monitoring of enterprise carbon emissions. Compared to traditional monitoring methods, the carbon emission monitoring system of this project has full coverage of all types of subjects, including both direct and indirect emissions, and strong data objectivity.

[0108] The technical solution provided by this invention features refined data, low temporal and spatial granularity, a complete existing foundation, and fully reflects the characteristics of power grid enterprises in leveraging digital economy and governance capabilities.

[0109] According to an embodiment of the present invention, a carbon emission monitoring device embodiment is also provided. It should be noted that the carbon emission monitoring device can be used to execute the carbon emission monitoring method in the embodiment of the present invention, and the carbon emission monitoring method in the embodiment of the present invention can be executed in the carbon emission monitoring device.

[0110] Figure 3 This is a schematic diagram of a carbon emission monitoring device according to an embodiment of the present invention, such as... Figure 3 As shown, the device may include: a first monitoring unit 32, used to monitor multiple electricity consumption data of the target object during a preset time period; an accumulation unit 34, used to accumulate multiple electricity consumption data to determine the electricity consumption of the target object; an acquisition unit 36, used to acquire the target electrical carbon conduction coefficient of the target object, wherein the target electrical carbon conduction coefficient represents the correlation between the electricity consumption and carbon emissions of the target object; and a second monitoring unit 38, used to monitor the industry carbon emissions of the target object during a preset time period based on the electricity consumption and the target electrical carbon conduction coefficient.

[0111] It should be noted that the first monitoring unit 32 in this embodiment can be used to execute step S102 in this application embodiment, the accumulation unit 34 in this embodiment can be used to execute step S104 in this application embodiment, the acquisition unit 36 ​​in this embodiment can be used to execute step S106 in this application embodiment, and the second monitoring unit 38 in this embodiment can be used to execute step S108 in this application embodiment. The examples and application scenarios implemented by the above modules and corresponding steps are the same, but are not limited to the content disclosed in the above embodiments.

[0112] In this embodiment of the invention, multiple electricity consumption data of a target object are monitored over a preset time period; the electricity consumption of the target object is determined by accumulating the multiple electricity consumption data; a target electrical carbon transmission coefficient of the target object is obtained, wherein the target electrical carbon transmission coefficient represents the correlation between the target object's electricity consumption and carbon emissions; based on the electricity consumption and the target electrical carbon transmission coefficient, the industry carbon emissions of the target object are monitored over the preset time period; thus, the correlation between the target object's electricity consumption and carbon emissions can be reflected by the target electrical carbon transmission coefficient, and the industry carbon emissions of the target object can be monitored by monitoring multiple electricity consumption data of the target object over a preset time period, achieving the purpose of monitoring industry carbon emissions based on electricity consumption data, realizing the technical effect of accurate carbon emission monitoring, and thus solving the technical problem of inaccurate carbon emission monitoring.

[0113] As an optional embodiment, the power consumption data at least includes voltage, current and power collected at a preset time interval, and the accumulation unit includes a first accumulation module configured to accumulate the multiple currents and voltages of the target object in a preset time period to determine the power consumption of the target object, or a second accumulation module configured to accumulate the multiple powers of the target object in a preset time period to determine the power consumption of the target object.

[0114] As an optional embodiment, the acquisition unit includes a first identification module configured to identify a target industry where the target object is located, and a first acquisition module configured to acquire a target electric-carbon conduction coefficient of the target industry based on a preset industry database, wherein the preset industry database includes a plurality of preset industries and a target electric-carbon conduction coefficient corresponding to each preset industry, the preset industries include the target industry, and the target electric-carbon conduction coefficients include the target electric-carbon conduction coefficient.

[0115] As an optional embodiment, the acquisition unit includes a second identification module configured to identify a target region where the target object is located, and a second acquisition module configured to acquire a target electric-carbon conduction coefficient of the target region based on a preset region database, wherein the preset region database includes a plurality of preset regions and a target electric-carbon conduction coefficient corresponding to each preset region, the preset regions include the target region, and the target electric-carbon conduction coefficients include the target electric-carbon conduction coefficient.

[0116] As an optional embodiment, the acquisition unit includes a third identification module configured to identify an industry type of the target object, wherein the industry type includes the target industry, and the carbon emission of the target industry is entirely from power consumption, a fourth acquisition module configured to acquire a regional power consumption and a regional carbon emission of a target region where the target object is located in a case that the target object belongs to the target industry, and a first determination module configured to determine the target electric-carbon conduction coefficient according to the regional power consumption and the regional carbon emission.

[0117] As an optional embodiment, the fourth acquisition module includes a fifth acquisition module configured to acquire a power consumption structure of the target region, wherein the power consumption structure is used to indicate that the power consumption of the target region includes local power consumption and input power consumption, a fourth identification module configured to identify at least one power supply region providing the input power consumption and a power supply amount of each power supply region, a sixth acquisition module configured to acquire a power generation carbon emission coefficient of each predetermined region, wherein the predetermined regions at least include the target region and the power supply region, a second determination module configured to determine a local carbon emission amount based on the power generation carbon emission coefficient of the target region and the local power consumption, a third determination module configured to determine an input carbon emission amount based on the power generation carbon emission coefficient of at least one power supply region and the power supply amount of each power supply region, and the regional carbon emission is determined according to the local carbon emission amount and the input carbon emission amount.

[0118] The embodiment of the present application can provide a computer terminal, which can be any computer terminal device in a computer terminal group. Alternatively, in the embodiment, the computer terminal can be replaced by a mobile terminal or other terminal device.

[0119] Alternatively, in the embodiment, the computer terminal can be located in at least one network device of a plurality of network devices of a computer network.

[0120] In the embodiment, the computer terminal can execute program codes of the following steps in the vulnerability detection method of the application program: monitoring a plurality of power consumption data of a target object in a preset time period; accumulating the plurality of power consumption data to determine a power consumption of the target object; obtaining a target electric-carbon conduction coefficient of the target object, wherein the target electric-carbon conduction coefficient represents a correlation between the power consumption and carbon emission of the target object; and monitoring an industry carbon emission of the target object in the preset time period based on the power consumption and the target electric-carbon conduction coefficient.

[0121] Alternatively, Figure 4 is a structural block diagram of a computer terminal according to an embodiment of the present application. As shown in Figure 4 the computer terminal 40 can include one or more (only one is shown in the figure) processors 42 and memories 44.

[0122] The memory can be used to store software programs and modules, such as program instructions / modules corresponding to the security vulnerability detection method and device in the embodiment of the present application. The processor executes various functions and data processing by running the software programs and modules stored in the memory, i.e. implements the above-mentioned system vulnerability attack detection method. The memory can include a high-speed random access memory, and can also include a non-volatile memory, such as one or more magnetic storage devices, flash memories, or other non-volatile solid-state memories. In some examples, the memory can further include a memory remotely arranged with respect to the processor, which can be connected to the terminal 10 through a network. Examples of the above-mentioned network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0123] Alternatively, the power consumption data at least includes voltage, current, and power collected according to a preset time interval. The processor can further execute program codes of the following steps: accumulating a plurality of currents and voltages of the target object in a preset time period to determine the power consumption of the target object; or accumulating a plurality of powers of the target object in a preset time period to determine the power consumption of the target object.

[0124] Optionally, the processor can further execute program codes of the following steps: identifying a target industry where the target object is located; obtaining a target electric-carbon conduction coefficient of the target industry based on a preset industry database, wherein the preset industry database comprises a plurality of preset industries and a target electric-carbon conduction coefficient corresponding to each preset industry, the preset industries comprise the target industry, and the target electric-carbon conduction coefficients comprise the target electric-carbon conduction coefficient.

[0125] Optionally, the processor can further execute program codes of the following steps: identifying a target region where the target object is located; obtaining a target electric-carbon conduction coefficient of the target region based on a preset region database, wherein the preset region database comprises a plurality of preset regions and a target electric-carbon conduction coefficient corresponding to each preset region, the preset regions comprise the target region, and the target electric-carbon conduction coefficients comprise the target electric-carbon conduction coefficient.

[0126] Optionally, the processor can further execute program codes of the following steps: identifying an industry type of the target object, wherein the industry type comprises the target industry, and the carbon emission of the target industry is entirely from electric power consumption; in a case where the target object belongs to the target industry, obtaining a regional power consumption and a regional carbon emission of a target region where the target object is located; and determining the target electric-carbon conduction coefficient according to the regional power consumption and the regional carbon emission.

[0127] Optionally, the processor can further execute program codes of the following steps: obtaining an electric power consumption structure of the target region, wherein the electric power consumption structure is used to indicate that the power consumption of the target region comprises local power consumption and input power consumption; identifying at least one power supply region providing the input power consumption and a power supply amount of each power supply region; obtaining a power generation carbon emission coefficient of each predetermined region, wherein the predetermined regions at least comprise the target region and the power supply region; determining a local carbon emission amount based on the power generation carbon emission coefficient of the target region and the local power consumption; determining an input carbon emission amount based on the power generation carbon emission coefficient of the at least one power supply region and the power supply amount of each power supply region; and determining the regional carbon emission according to the local carbon emission amount and the input carbon emission amount.

[0128] The embodiment of the present application provides a carbon emission monitoring scheme. A plurality of power consumption data of a target object in a preset period is monitored; the power consumption of the target object is determined by accumulating the plurality of power consumption data; a target electric carbon conduction coefficient of the target object is obtained, wherein the target electric carbon conduction coefficient represents the correlation between the power consumption and the carbon emission of the target object; the industrial carbon emission of the target object in the preset period is monitored based on the power consumption and the target electric carbon conduction coefficient; thereby, the correlation between the power consumption and the carbon emission of the target object can be reflected according to the target electric carbon conduction coefficient, and then the industrial carbon emission of the target object can be monitored by monitoring the plurality of power consumption data of the target object in the preset period, the purpose of monitoring the industrial carbon emission according to the power consumption is achieved, the technical effect of accurately monitoring the carbon emission is achieved, and then the technical problem that the carbon emission cannot be accurately monitored is solved.

[0129] Those skilled in the art can understand that, Figure 4 The structure shown is only schematic, and the computer terminal can also be a smart phone (such as an Android phone, an iOS phone, etc.), a tablet computer, a palm computer, a mobile Internet device (MID), a PAD, or the like. Figure 4 It does not limit the structure of the electronic device. For example, the computer terminal 4 can further include more or fewer components (such as a network interface, a display device, etc.) than those shown in the figure, or have a different configuration from that shown in the figure. Figure 4 Figure 4

[0130] Those skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing the hardware related to the terminal device by a program, and the program can be stored in a computer readable storage medium, and the storage medium can include a flash disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0131] The embodiment of the present application further provides a storage medium. Optionally, in the embodiment, the storage medium can be used to save the program code executed by the carbon emission monitoring method provided by the above embodiment.

[0132] Optionally, in the embodiment, the storage medium can be located in any one of the computer terminals in a computer terminal group in a computer network, or in any one of the mobile terminals in a mobile terminal group.

[0133] ​​Optionally, in the embodiment, the storage medium is configured to store program code for performing the following steps: monitoring a plurality of power consumption data of the target object in a preset time period; accumulating the plurality of power consumption data to determine a power consumption of the target object; obtaining a target electricity-carbon conductive coefficient of the target object, wherein the target electricity-carbon conductive coefficient represents a correlation between the power consumption and a carbon emission of the target object; and monitoring an industry carbon emission of the target object in the preset time period based on the power consumption and the target electricity-carbon conductive coefficient.

[0134] Optionally, in the embodiment, the power consumption data at least includes voltage, current, and power collected at a preset time interval, and the storage medium is configured to store program code for performing the following steps: accumulating a plurality of currents and voltages of the target object in a preset time period to determine the power consumption of the target object; or accumulating a plurality of powers of the target object in a preset time period to determine the power consumption of the target object.

[0135] Optionally, in the embodiment, the storage medium is configured to store program code for performing the following steps: identifying a target industry in which the target object is located; and obtaining a target electricity-carbon conductive coefficient of the target industry based on a preset industry database, wherein the preset industry database includes a plurality of preset industries and a target electricity-carbon conductive coefficient corresponding to each preset industry, the preset industries include the target industry, and the target electricity-carbon conductive coefficients include the target electricity-carbon conductive coefficient.

[0136] Optionally, in the embodiment, the storage medium is configured to store program code for performing the following steps: identifying a target region in which the target object is located; and obtaining a target electricity-carbon conductive coefficient of the target region based on a preset region database, wherein the preset region database includes a plurality of preset regions and a target electricity-carbon conductive coefficient corresponding to each preset region, the preset regions include the target region, and the target electricity-carbon conductive coefficients include the target electricity-carbon conductive coefficient.

[0137] Optionally, in the embodiment, the storage medium is configured to store program code for performing the following steps: identifying an industry type of the target object, wherein the industry type includes the target industry, and the carbon emission of the target industry is entirely from power consumption; obtaining a regional power consumption and a regional carbon emission of a target region in which the target object is located in a case that the target object belongs to the target industry; and determining the target electricity-carbon conductive coefficient according to the regional power consumption and the regional carbon emission.

[0138] Optionally, in the embodiment, the storage medium is configured to store program code for performing the following steps: obtaining a power consumption structure of the target region, wherein the power consumption structure is used to represent power consumption of the target region, and the power consumption includes local power consumption and input power consumption; identifying at least one power supply region providing the input power consumption and power supply of each power supply region; obtaining a power generation carbon emission coefficient of each predetermined region, wherein the predetermined region at least includes the target region and the power supply region; determining local carbon emission based on the power generation carbon emission coefficient of the target region and the local power consumption; determining input carbon emission based on the power generation carbon emission coefficient of the at least one power supply region and the power supply of each power supply region; and determining regional carbon emission according to the local carbon emission and the input carbon emission.

[0139] The above-mentioned serial numbers of the embodiments of the application are only for description, and do not represent the advantages or disadvantages of the embodiments.

[0140] In the above-mentioned embodiments of the application, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the relevant description of other embodiments.

[0141] In several embodiments provided in the present application, it should be understood that the disclosed technical contents can be implemented by other ways. Among them, the above-mentioned device embodiments are only schematic, for example, the division of the units can be a logical function division, and actual implementation can have another division way, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units or modules shown or discussed can be indirect coupling or communication connection through some interfaces, units or modules, which can be electrical or other forms.

[0142] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place, or they can be distributed to multiple units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0143] In addition, each functional unit in each embodiment of the application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The above integrated unit can be realized in the form of hardware or in the form of software functional unit.

[0144] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application, essentially or in other words, the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a number of instructions to make a computer device (which can be a personal computer, a server or a network device, etc.) execute all or part of the steps of the methods described in various embodiments of the present application. The aforementioned storage medium includes: a U disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a mobile hard disk, a magnetic disk or an optical disk, and various media that can store program codes.

[0145] The above is only the preferred embodiment of the present application, it should be pointed out that, for those skilled in the art, without departing from the principles of the present application, can make a number of improvements and refinements, these improvements and refinements should also be considered as the protection scope of the present application.

Claims

1. A method of carbon emission monitoring, characterized by, The method comprises: monitoring a plurality of power consumption data of a target object in a preset time period; accumulating the plurality of power consumption data to determine the power consumption of the target object; obtaining a target electric-carbon conductive coefficient of the target object, wherein the target electric-carbon conductive coefficient represents the correlation between the power consumption and the carbon emission of the target object; monitoring the industry carbon emission of the target object in the preset time period based on the power consumption and the target electric-carbon conductive coefficient; wherein obtaining the target electric-carbon conductive coefficient of the target object comprises: identifying a target industry in which the target object is located; obtaining a target electric-carbon conductive coefficient of the target industry based on a preset industry database, wherein the preset industry database comprises a plurality of preset industries and a preset electric-carbon conductive coefficient corresponding to each of the preset industries, the preset industries include the target industry, and the preset electric-carbon conductive coefficient includes the target electric-carbon conductive coefficient; wherein obtaining the target electric-carbon conductive coefficient of the target object comprises: identifying an industry type of the target object, wherein the industry type includes a target industry, and the carbon emission of the target industry is entirely from power consumption; in a case where the target object belongs to the target industry, obtaining a regional power consumption and a regional carbon emission of a target region in which the target object is located; determining the target electric-carbon conductive coefficient according to the regional power consumption and the regional carbon emission; wherein obtaining the regional power consumption and the regional carbon emission of the target region in which the target object is located comprises: obtaining a regional power consumption and a regional carbon emission of the target region in a same specified time period in history; wherein the industry type further includes a specific industry whose carbon emission is from power consumption and resource consumption, an electric power carbon emission of the specific industry is determined based on the power consumption, a production carbon emission of the specific industry is determined based on the resource consumption, the electric power carbon emission is determined according to a regional electric-carbon conductive coefficient and a power consumption of the specific industry, the regional electric-carbon conductive coefficient is determined according to a regional carbon emission and a regional power consumption of a target region in which a target object is located, the production carbon emission is directly determined according to the resource consumption of the specific industry, the industry carbon emission of the specific industry is determined based on the electric power carbon emission and the production carbon emission, and a specific electric-carbon conductive coefficient of the specific industry is determined based on the industry carbon emission and the power consumption of the specific industry.

2. The method of claim 1, wherein, The power consumption data at least includes voltage, current, and power collected according to a preset time interval, and accumulating the plurality of power consumption data to determine the power consumption of the target object comprises: accumulating a plurality of currents and voltages of the target object in the preset time period to determine the power consumption of the target object; or accumulating a plurality of powers of the target object in the preset time period to determine the power consumption of the target object.

3. The method of claim 1, wherein, Obtaining the regional power consumption and the regional carbon emission of the target region in which the target object is located comprises: obtaining a power consumption structure of the target region, wherein the power consumption structure is used to represent that the power consumption of the target region includes local power and input power; identifying at least one power supply area providing the input power and a power supply amount of each of the power supply areas; obtaining a power generation carbon emission coefficient of each of the predetermined areas, wherein the predetermined areas at least include the target area and the power supply areas; determining a local carbon emission amount based on the power generation carbon emission coefficient of the target area and the local power amount; determining an input carbon emission amount based on the power generation carbon emission coefficient of at least one of the power supply areas and the power supply amount of each of the power supply areas; determining the area carbon emission amount according to the local carbon emission amount and the input carbon emission amount.

4. A carbon emission monitoring device, characterized by, comprise: a first monitoring unit configured to monitor a plurality of power consumption data of a target object in a preset time period; an accumulation unit configured to accumulate the plurality of power consumption data to determine a power consumption amount of the target object; an obtaining unit configured to obtain a target electric-carbon transmission coefficient of the target object, wherein the target electric-carbon transmission coefficient represents a correlation between the power consumption amount and a carbon emission amount of the target object; a second monitoring unit configured to monitor an industry carbon emission amount of the target object in the preset time period based on the power consumption amount and the target electric-carbon transmission coefficient; wherein the obtaining unit comprises: a first identification module configured to identify a target industry in which the target object is located; a first obtaining module configured to obtain a target electric-carbon transmission coefficient of the target industry based on a preset industry database, wherein the preset industry database comprises a plurality of preset industries and a preset electric-carbon transmission coefficient corresponding to each of the preset industries, the preset industries include the target industry, and the preset electric-carbon transmission coefficient includes the target electric-carbon transmission coefficient; wherein the obtaining unit comprises: a third identification module configured to identify an industry type of the target object, wherein the industry type includes a target industry, and the carbon emission amount of the target industry is entirely from power consumption; a fourth obtaining module configured to obtain a regional power consumption amount and a regional carbon emission amount of a target area in which the target object is located, in a case that the target object belongs to the target industry; a first determination module configured to determine the target electric-carbon transmission coefficient according to the regional power consumption amount and the regional carbon emission amount; wherein the obtaining of the regional power consumption amount and the regional carbon emission amount of the target area comprises: obtaining a regional power consumption amount and a regional carbon emission amount of the target area in a same specified time period in history; The industry type further includes: a specific industry whose carbon emission is from power consumption and resource consumption, the specific industry's power-based power carbon emission is determined based on the power consumption, and the specific industry's production carbon emission is determined based on the resource consumption, wherein the power carbon emission is determined according to a regional electric carbon transmission coefficient and the specific industry's power consumption, the regional electric carbon transmission coefficient is determined according to a regional carbon emission and a regional power consumption of a target region where the target object is located, and the production carbon emission is directly determined according to the resource consumption of the specific industry; the specific industry's industry carbon emission is determined based on the specific industry's power carbon emission and the production carbon emission, and a specific electric carbon transmission coefficient of the specific industry is determined based on the specific industry's industry carbon emission and the power consumption.

5. The apparatus of claim 4, wherein, The power consumption data at least includes: voltage, current and power collected according to a preset time interval, and the accumulation unit includes: a first accumulation module configured to accumulate a plurality of currents and voltages of the target object in the preset time period to determine the power consumption of the target object; or a second accumulation module configured to accumulate a plurality of powers of the target object in the preset time period to determine the power consumption of the target object.

6. A computer-readable storage medium, characterized in that, The computer readable storage medium includes a stored program, wherein the program controls a device where the computer readable storage medium is located to perform the carbon emission monitoring method in any one of claims 1 to 3 when the program is running.

7. A processor, comprising: The processor is configured to run a program, wherein the program performs the carbon emission monitoring method in any one of claims 1 to 3 when the program is running.

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