Regional electric power carbon emission monitoring system

Abstract

The invention discloses a regional electric power carbon emission monitoring system, relates to the technical field of carbon emission monitoring, and solves the technical problem that in the prior art, when electric power control is performed on different regions, reasonable electric power configuration is not performed according to the electric power demand conditions of the regions, so that the resource cost is relatively high. According to the method, carbon emission data, power data and time data of different regions in a city are collected, carbon emission use states and carbon emission transmission states of the regions are obtained based on the carbon emission data in the regions, the carbon emission states are obtained through integration, and the power data and the time data are matched to obtain power demand data of the regions; the method comprises the following steps: acquiring a carbon emission state, acquiring a carbon emission monitoring state in combination with the carbon emission state, performing power distribution for urban areas according to the carbon emission monitoring state in the areas, sequencing the areas needing power supplementation to acquire urgent supplementation data and slow supplementation data, and integrating area power configuration data.

Description

Technical Field

[0001] The present invention belongs to the field of carbon emission monitoring, and specifically relates to a regional power carbon emission monitoring system. Background Art

[0002] In the process of urban power generation and power supply, the generation of carbon dioxide is inevitable. Whether it is traditional coal-fired, oil-fired power generation, or modern natural gas power generation, and even new energy such as wind power and photovoltaics in the process of power production and transmission (such as through indirect links such as power grid regulation and energy storage device charging and discharging), certain carbon emissions will be generated due to fuel combustion, equipment operation, etc.; and reducing carbon emissions can promote the optimization and transformation of the energy structure and promote green and low-carbon development.

[0003] The invention patent with the application number CN2024109170158 discloses a carbon emission power monitoring system and control method. The invention further divides the area into power control communities, divides the carbon control cycle, monitors the periodic carbon emission data based on the carbon control cycle, performs edge processing on the periodic carbon emission data to obtain the carbon emission status of the power control community and generates a carbon emission warning signal, and performs power control on the power in the current cycle according to the carbon emission warning signal; when the invention obtains the periodic carbon emission data, it obtains the carbon emission warning signal according to the periodic carbon emission data and performs power control according to the warning signal. However, different regions have different power demands. When power control needs to be performed on different regions, reasonable power allocation cannot be carried out according to the actual demand situation within the region, resulting in a problem of relatively high resource consumption costs.

[0004] The present invention provides a regional power carbon emission monitoring system to solve the above technical problems. Summary of the Invention

[0005] The present invention aims to solve at least one of the technical problems existing in the prior art; for this purpose, the present invention proposes a regional power carbon emission monitoring system to solve the technical problem that reasonable power allocation is not carried out according to the power demand situation of the region when performing power control on different regions in the prior art, resulting in relatively high resource costs.

[0006] To achieve the above object, the first aspect of the present invention provides a regional power carbon emission monitoring system, including: a data collection module, a carbon emission monitoring module, and a regional configuration module;

[0007] The data collection module: is used to collect carbon emission data, power data, and time data in different regions of the city;

[0008] Carbon emission monitoring module: used to obtain the carbon emission status of a region based on the analysis of carbon emission data within the region; match the electricity data and time data within the region to obtain the electricity demand data of the region; combine the electricity demand data and the carbon emission status to monitor the carbon emissions within the region and obtain the carbon emission monitoring status;

[0009] Regional configuration module: used to allocate electricity for the region based on the carbon emission monitoring status within the region to obtain the regional electricity configuration data.

[0010] Preferably, the obtaining of the carbon emission status of the region based on the analysis of carbon emission data within the region includes:

[0011] Extract the carbon emission data within the city; among them, the carbon emission data includes direct carbon emission data and indirect carbon emission data; among them, the direct carbon emission data includes direct carbon emissions, fuel types used, and fuel consumption; the indirect carbon emission data includes indirect carbon emissions and indirect pathways;

[0012] Obtain the carbon emission usage status within the region based on the direct carbon emission data, obtain the carbon emission transportation status within the region based on the indirect carbon emission data, and combine the carbon emission usage status and the carbon emission transportation status to obtain the carbon emission status within the region.

[0013] Preferably, the obtaining of the carbon emission usage status within the region based on the direct carbon emission data includes:

[0014] Extract the direct carbon emission data;

[0015] Extract the carbon emission coefficients corresponding to different fuel types used from the carbon emission database, multiply the fuel consumption by the carbon emission coefficient to obtain the carbon emissions, and mark the ratio of the direct carbon emissions to the carbon emissions as the actual carbon emission ratio;

[0016] Set a carbon emission ratio threshold; determine whether the actual carbon emission ratio is greater than the carbon emission ratio threshold; if so, mark the carbon emission usage status as meeting the usage status; if not, mark the carbon emission usage status as insufficient usage status; among them, the carbon emission ratio threshold is set according to the historical direct carbon emission data.

[0017] Preferably, the setting of the carbon emission ratio threshold according to the historical direct carbon emission data includes:

[0018] Extract the historical direct carbon emission data within the region from the carbon emission database; among them, the historical direct carbon emission data includes historical direct carbon emissions and the corresponding historical fuel consumption;

[0019] Multiply the historical fuel usage by the corresponding carbon emission coefficient to obtain the historical carbon emissions; mark the proportion of the fuel usage type in all fuel usages as the type proportion, and calculate the ratio of the sum of the products of the type proportions of all fuel usage types and the corresponding historical carbon emissions to the sum of the historical direct carbon emissions to obtain the carbon emission ratio threshold.

[0020] Preferably, obtaining the carbon emission transportation status within the region based on the indirect carbon emission data includes:

[0021] Extract the indirect carbon emission data; among them, the indirect paths include the transmission path and the transmission distance;

[0022] Divide the indirect carbon emissions by the transmission distance to obtain the indirect average transmission volume, and integrate the transmission path and the indirect average transmission volume to obtain the carbon emission transportation status.

[0023] Preferably, obtaining the power demand data of the region by matching the power data and the time data within the region includes:

[0024] Extract the power data and the time data within the region; among them, the power data includes the power consumption of different regions and the corresponding power consumption time; the time data includes the power storage volume and the power storage time;

[0025] Judge whether the power consumption time is the same as the power storage time; if so, mark the corresponding power consumption time as the pre-stored time; if not, mark the corresponding power consumption time as the cache time;

[0026] Subtract the power storage volume from the power consumption volume to obtain the power remaining volume, mark the power remaining volume corresponding to the pre-stored time as the pre-stored remaining volume, and mark the power remaining volume corresponding to the cache time as the cache remaining volume; integrate the power remaining volume and the corresponding power consumption time to obtain the power demand data.

[0027] Preferably, monitoring the carbon emissions within the region by combining the power demand data and the carbon emission status to obtain the carbon emission monitoring status includes:

[0028] A1: Extract the power demand data of different regions and the corresponding carbon emission status;

[0029] A2: Detect the power remaining volume in the power demand data within the same region, and judge whether the power remaining volume is the pre-stored remaining volume; if so, jump to A3; if not, jump to A4;

[0030] A3: Judge whether the pre-stored remaining volume is greater than 0; if so, mark the carbon emission monitoring status corresponding to the region as the pre-stored remaining status; if not, mark the carbon emission monitoring status corresponding to the region as the pre-stored replenishment required status;

[0031] A4: Determine whether the remaining cache is greater than 0; if yes, mark the carbon emission monitoring status corresponding to the area as the cache remaining status; if not, mark the carbon emission monitoring status corresponding to the area as the cache replenishment required status.

[0032] Preferably, the power distribution for the area based on the carbon emission monitoring status within the area to obtain the area power configuration data includes:

[0033] Detect the areas in the urban area where the carbon emission monitoring status is the pre-stored replenishment required status or the cache replenishment required status and mark them as areas to be replenished;

[0034] Determine whether the carbon emission monitoring status of the area to be replenished is the pre-stored replenishment required status; if yes, mark the corresponding area to be replenished as an urgent replenishment area; if not, mark the corresponding area to be replenished as a slow replenishment area;

[0035] Sort the urgent replenishment areas based on the remaining power of the urgent replenishment areas to obtain urgent replenishment data; sort the slow replenishment areas based on the remaining power of the slow replenishment areas to obtain slow replenishment data;

[0036] Integrate the urgent replenishment data and the slow replenishment data to obtain the area power configuration data.

[0037] Preferably, the sorting of the urgent replenishment areas based on the remaining power of the urgent replenishment areas to obtain the urgent replenishment data:

[0038] Extract the remaining power of the urgent replenishment areas and the corresponding carbon emission transmission status;

[0039] Set power coefficients, transmission coefficients, and distance coefficients for the remaining power, indirect average transmission volume, and the distance of the transmission route respectively;

[0040] Through the formula JBS = α1 -DLY -lnCSL×α2 + CSJ -α3 Calculate the urgent replenishment coefficient JBS, where DLY represents the remaining power, CSL represents the indirect average transmission volume, CSJ represents the distance of the transmission route, α1 represents the power coefficient, 3 > α1 > 1, α2 represents the transmission coefficient, 5 > α2 > 0, α3 represents the distance coefficient, 1 > α3 > 0; α1, α2, and α3 are set based on the influence degree of the remaining power, indirect average transmission volume, and the distance of the transmission route on the selection of the urgent replenishment area;

[0041] Sort the urgent replenishment areas according to the size of the urgent replenishment coefficient JBS to obtain the urgent replenishment serial number, and integrate the urgent replenishment serial number with the corresponding remaining power into the urgent replenishment data.

[0042] Preferably, the sorting of the slow replenishment areas based on the remaining power of the slow replenishment areas to obtain the slow replenishment data includes:

[0043] Extract the electricity surplus in the slow-supplement area and the corresponding carbon emission transportation status;

[0044] Sort and number in descending order according to the magnitude of the electricity surplus to obtain the slow-supplement serial numbers, and select the transmission routes in ascending order of the slow-supplement serial numbers;

[0045] Sort the transmission routes in ascending order of the serial numbers, and select the transmission route with the smallest serial number as the slow-supplement route;

[0046] Integrate the slow-supplement serial numbers in the slow-supplement area with the corresponding slow-supplement routes to obtain slow-supplement data.

[0047] Compared with the prior art, the beneficial effects of the present invention are:

[0048] 1. By collecting carbon emission data, electricity data and time data in different areas of the city, the present invention respectively obtains the carbon emission usage status and carbon emission transportation status of the area based on the carbon emission data in the area, and integrates them to obtain the carbon emission status, which can more comprehensively reflect the true carbon footprint of an area, including not only the emissions from local production, but also the impact brought by external power supply; match the electricity data with the time data to obtain the electricity demand data of the area, and combine the electricity demand data with the carbon emission status to monitor the carbon emissions of the area, and obtain the carbon emission monitoring status according to the electricity surplus and the corresponding electricity consumption time, which can more effectively arrange the power generation plan and grid dispatching, reduce unnecessary energy waste, and improve energy utilization efficiency; allocate electricity for urban areas according to the carbon emission monitoring status in the area, sort the areas in need of electricity supplementation to obtain urgent-supplement data and slow-supplement data, integrate the regional power allocation data, and apply the regional power allocation data to each area of the city to achieve power allocation, improve energy utilization efficiency, and implement specific emission reduction strategies while taking emergency power supplementation.

[0049] 2. By comparing the electricity consumption time with the electricity storage time, the present invention divides the electricity consumption time into pre-storage time and buffer time, and combines the electricity surplus in the corresponding area to obtain the corresponding carbon emission monitoring status. According to the carbon emission monitoring status, the area is divided into urgent-supplement areas and slow-supplement areas. Combining the electricity surplus in the urgent-supplement area with the corresponding carbon emission transportation status, calculate and obtain the urgent-supplement data. According to the electricity surplus in the slow-supplement area and the indirect average transmission volume of the transmission route, select the slow-supplement route, integrate to obtain the slow-supplement data, and integrate the urgent-supplement data and the slow-supplement data to obtain the regional power allocation data, which can achieve accurate tracking of the carbon emission status of each area and help formulate more targeted emission reduction strategies. Brief Description of the Drawings

[0050] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required for the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can also be obtained based on these drawings.

[0051] Figure 1 It is a flowchart of the working process of an embodiment of the present invention.

[0052] Figure 2 It is a system composition diagram of an embodiment of the present invention.

[0053] Figure 3 It is a complete flowchart for obtaining the carbon emission monitoring status in an embodiment of the present invention. Specific embodiments

[0054] The following will clearly and completely describe the technical solutions of the present invention in combination with the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0055] Please refer to Figures 1 - 3 , an embodiment of the first aspect of the present invention provides a regional power carbon emission monitoring system, including: a data collection module, a carbon emission monitoring module, and a regional configuration module;

[0056] The data collection module: is used to collect carbon emission data, power data, and time data in different regions of the city.

[0057] Exemplarily, collect carbon emission data during power generation in different regions of City A, power data of users in the region, and time data of corresponding records from the city carbon emission database.

[0058] The carbon emission monitoring module: is used to analyze the carbon emission data in the region to obtain the carbon emission status of the region; match the power data and time data in the region to obtain the power demand data of the region; combine the power demand data and the carbon emission status to monitor the carbon emissions in the region to obtain the carbon emission monitoring status.

[0059] Exemplarily, the carbon emission coefficients corresponding to different fuel usage types are extracted from the urban carbon emission database of City A. The carbon emission coefficient is the amount of carbon dioxide produced when a unit mass of fuel is used for power generation. In this embodiment, City A is divided into three regions, namely Region 1, Region 2, and Region 3. The carbon emission data includes direct carbon emission data and indirect carbon emission data. The direct emission data is the carbon emission generated when fuel is directly used for power generation within the region. The indirect carbon emission data is the carbon emission generated when it is transmitted from other regions to the current region within the region.

[0060] In this embodiment, for Region 1 of City A, the direct carbon emission data shows that the fuel usage type is Type B, the fuel usage amount is 20 tons, and the carbon emission coefficient of Type B fuel is 2.8 kilograms of carbon dioxide per kilogram. Multiplying the fuel usage amount by the carbon emission coefficient gives a carbon emission amount of 56 tons of carbon dioxide for Region 1. In this embodiment, the direct carbon emission amount of Region 1 is 52 tons, so the calculated actual carbon emission ratio is 93%.

[0061] It should be noted that during the power generation process, the actual carbon emission amount may not reach the expected level due to reasons such as fuel quality problems or aging of power generation equipment.

[0062] In some other preferred embodiments, if there is more than one type of fuel used in the region, the direct carbon emission amounts of all fuel usage types are calculated separately and then added together to obtain the total direct carbon emission amount of the region. The actual carbon emission ratio of the region is calculated by comparing the direct carbon emission amount with the total direct carbon emission amount of the region.

[0063] The historical direct carbon emission data is extracted from the carbon emission database of Region 1, and the historical carbon emission amount is obtained by multiplying the historical fuel usage amount in the historical direct carbon emission data by the carbon emission coefficient corresponding to the fuel usage type. In this embodiment, Region 1 only uses one type of fuel, Type B, so the type proportion is 1. The carbon emission ratio threshold is calculated by comparing the historical carbon emission amount with the historical direct carbon emission amount.

[0064] In some other preferred embodiments, when there is more than one type of fuel used, the proportion of the fuel usage amount of a fuel usage type in all fuel usage amounts is the type proportion. The historical type carbon emission amounts are calculated by multiplying the type proportion by the corresponding historical carbon emission amounts and then adding them together. The carbon emission ratio threshold is calculated by comparing the historical type carbon emission amount with the sum of the corresponding historical direct carbon emission amounts.

[0065] Compare the actual carbon emission ratio of Region 1 with the corresponding carbon emission ratio threshold to determine whether the actual carbon emission ratio is greater than the carbon emission ratio threshold. In this embodiment, since the actual carbon emission ratio is greater than the carbon emission ratio threshold, mark the carbon emission usage status of Region 1 as meeting the usage status; in this embodiment, the indirect carbon emissions generated by Region 1 through power transmission is 20 tons, which is transmitted from Region 3 to Region 1, and the transmission distance is 200 kilometers. Calculate the indirect average transmission volume as 100 kilograms per kilometer. Integrate the indirect average transmission volume with the transmission route from Region 3 to Region 1 to obtain the carbon emission delivery status, and integrate the carbon emission usage status with the carbon emission delivery status to obtain the carbon emission status within the region.

[0066] It should be noted that the indirect carbon emission data in Region 1 may not be limited to the transmission line from Region 3 to Region 1. If Region 1 can also receive power transmitted from Region 2 and Region 4, the indirect carbon emission data of Region 1 should include three indirect paths. Then, calculate and obtain the path carbon emission delivery status for different indirect paths respectively, and integrate the path carbon emission delivery statuses to obtain the carbon emission delivery status.

[0067] Extract the power data of Region 1 and determine whether the power consumption time is the same as the power storage time. In this embodiment, since the power consumption time extracted from Region 1 is the same as the power storage time, mark the corresponding power consumption time as the pre-storage time; subtract the power storage volume from the power consumption volume of Region 1 to obtain the power remaining volume, mark the power remaining volume corresponding to the pre-storage time as the pre-storage remaining volume, and mark the power remaining volume corresponding to the buffer time as the buffer remaining volume; integrate the power remaining volume and the corresponding power consumption time to obtain the power demand data.

[0068] It should be noted that the power storage volume and the power storage time are only limited to the power data already stored in the power station within Region 1; when matching the power consumption time and the power storage time, an error threshold can be set. If the difference between the power consumption time and the power storage time is less than the error threshold, the corresponding power consumption time is also marked as the pre-storage time; a maximum error threshold is also set for the difference between the power storage time and the power consumption time. If the difference between the power storage time and the power consumption time is greater than or equal to the maximum error threshold, it exceeds the comparison range and no comparison is made; when the power consumption time and the power storage time are different, it means that the current power consumption can be slowly replenished.

[0069] Check whether the remaining power in Detection Area 1 is the pre-stored remaining power. In this embodiment, the remaining power in Area 1 is the pre-stored remaining power. Then continue to determine whether the pre-stored remaining power is greater than 0. If the pre-stored remaining power is greater than 0, it indicates that the stored power of the current power station can support the current usage, and mark the carbon emission monitoring status corresponding to the area as the pre-stored remaining status; if the pre-stored remaining power is less than 0, it means that the stored power of the current power station cannot support the current usage, and emergency power replenishment is required, and mark the carbon emission monitoring status corresponding to the area as the pre-stored replenishment required status.

[0070] In some other preferred embodiments, if the remaining power is the cached remaining power, then continue to determine whether the cached remaining power is greater than 0. If the cached remaining power is greater than 0, it indicates that the current power consumption does not exceed the stored power and no replenishment is required, and mark the carbon emission monitoring status corresponding to the area as the cached remaining status; if the cached remaining power is less than 0, it means that the current power consumption exceeds the pre-stored or subsequent stored power of the power station and replenishment is required, and mark the carbon emission monitoring status corresponding to the area as the cached replenishment required status.

[0071] In this embodiment, if the carbon emission monitoring status of Area 1 is the pre-stored replenishment required status, then mark Area 1 as an emergency replenishment area; in this embodiment, the power coefficient is set to 2, the transmission coefficient is set to 3, and the distance coefficient is set to 0.5; through the formula JBS = α1 -DLY -lnCSL×α2 + CSJ -α3 Calculate the emergency replenishment coefficient JBS of Area 1, sort all the emergency replenishment areas in City A according to the size of the emergency replenishment coefficient JBS to obtain the emergency replenishment serial number, integrate the emergency replenishment serial number with the corresponding remaining power to form emergency replenishment data, and allocate power supply to each area according to the emergency replenishment serial number.

[0072] Some of the data in the above formula are calculated by taking their numerical values after removing the dimension. The formula is obtained by software simulation of a large amount of collected data to get a formula closest to the real situation; the preset parameters and preset thresholds in the formula are set by those skilled in the art according to the actual situation or obtained through simulation of a large amount of data.

[0073] The working principle of the present invention:

[0074] The present invention collects carbon emission data, power data and time data in different regions within a city, respectively obtains the carbon emission usage status and carbon emission transportation status of a region based on the carbon emission data within the region, integrates them to obtain the carbon emission status, matches the power data with the time data to obtain the power demand data of the region, monitors the carbon emissions of the region in combination with the power demand data and the carbon emission status, obtains the carbon emission monitoring status according to the remaining power and the corresponding power consumption time, distributes power for urban regions according to the carbon emission monitoring status within the region, sorts the regions that need to replenish power to obtain urgent replenishment data and slow replenishment data, and integrates the regional power configuration data.

[0075] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A regional power carbon emission monitoring system, characterized in that, Including: A data collection module, a carbon emission monitoring module, and a regional configuration module; The data collection module: used to collect carbon emission data, power data, and time data in different regions of the city; The carbon emission monitoring module: used to analyze the carbon emission data in the region to obtain the carbon emission status of the region; match the power data and time data in the region to obtain the power demand data of the region; Combine the power demand data and the carbon emission status to monitor the carbon emissions in the region to obtain the carbon emission monitoring status; The regional configuration module: used to perform power distribution for the region based on the carbon emission monitoring status in the region to obtain the regional power configuration data.

2. The regional power carbon emission monitoring system according to claim 1, characterized in that, The obtaining the carbon emission status of the region based on the carbon emission data analysis in the region includes: Extracting the carbon emission data in the city; among them, the carbon emission data includes direct carbon emission data and indirect carbon emission data; among them, the direct carbon emission data includes direct carbon emissions, fuel types used, and fuel consumption; the indirect carbon emission data includes indirect carbon emissions and indirect pathways; Based on the direct carbon emission data, obtain the carbon emission usage status in the region, based on the indirect carbon emission data, obtain the carbon emission transportation status in the region, and combine the carbon emission usage status and the carbon emission transportation status to obtain the carbon emission status in the region.

3. The regional power carbon emission monitoring system according to claim 2, wherein, The obtaining the carbon emission usage status in the region based on the direct carbon emission data includes: Extracting the direct carbon emission data; Extract the carbon emission coefficients corresponding to different fuel types used from the carbon emission database, multiply the fuel consumption by the carbon emission coefficient to obtain the carbon emissions, and mark the ratio of the direct carbon emissions to the carbon emissions as the actual carbon emission ratio; Set the carbon emission ratio threshold; determine whether the actual carbon emission ratio is greater than the carbon emission ratio threshold; if so, mark the carbon emission usage status as meeting the usage status; if not, mark the carbon emission usage status as insufficient usage status; among them, the carbon emission ratio threshold is set according to the historical direct carbon emission data.

4. The regional power carbon emission monitoring system according to claim 3, characterized in that, The setting the carbon emission ratio threshold according to the historical direct carbon emission data includes: Extract the historical direct carbon emission data in the region from the carbon emission database; among them, the historical direct carbon emission data includes historical direct carbon emissions and the corresponding historical fuel consumption; Multiply the historical fuel consumption by the corresponding carbon emission coefficient to obtain the historical carbon emissions; mark the proportion of the fuel type in all fuel consumption as the type proportion, and calculate the ratio of the sum of the products of the type proportions of all fuel types and the corresponding historical carbon emissions to the sum of the historical direct carbon emissions to obtain the carbon emission ratio threshold.

5. The regional power carbon emission monitoring system according to claim 2, characterized in that, The obtaining the carbon emission transportation status in the region based on the indirect carbon emission data includes: Extract the indirect carbon emission data; among them, the indirect pathway includes the transmission pathway and the transmission distance; Divide the indirect carbon emissions by the transmission distance to obtain the indirect average transmission volume, and integrate the transmission pathway and the indirect average transmission volume to obtain the carbon emission transportation status.

6. The regional power carbon emission monitoring system according to claim 1, characterized in that, The obtaining the power demand data of the region by matching the power data and time data in the region includes: Extract the power data and time data in the region; among them, the power data includes the power consumption in different regions and the corresponding power consumption time; the time data includes the power storage volume and the power storage time; Determine whether the power consumption time is the same as the power storage time; if so, mark the corresponding power consumption time as the pre-stored time; if not, mark the corresponding power consumption time as the cached time; Subtract the power storage amount from the power consumption amount to obtain the remaining power amount. Mark the remaining power amount corresponding to the pre-stored time as the pre-stored remaining amount, and mark the remaining power amount corresponding to the cached time as the cached remaining amount. Integrate the remaining power amount and the corresponding power consumption time to obtain the power demand data.

7. The regional power carbon emission monitoring system according to claim 1, characterized in that, Monitoring the carbon emissions in the region by combining the power demand data with the carbon emission status, including: A1: Extract the power demand data of different regions and the corresponding carbon emission status; A2: Detect the remaining power amount in the power demand data within the same region, and determine whether the remaining power amount is the pre-stored remaining amount; if so, jump to A3; if not, jump to A4; A3: Determine whether the pre-stored remaining amount is greater than 0; if so, mark the carbon emission monitoring status of the region as the pre-stored remaining status; if not, mark the carbon emission monitoring status of the region as the pre-stored replenishment required status; A4: Determine whether the cached remaining amount is greater than 0; if so, mark the carbon emission monitoring status of the region as the cached remaining status; if not, mark the carbon emission monitoring status of the region as the cached replenishment required status.

8. The regional power carbon emission monitoring system according to claim 1, characterized in that, Performing power distribution for the region based on the carbon emission monitoring status in the region to obtain the regional power configuration data, including: Detect the regions in the urban area where the carbon emission monitoring status is the pre-stored replenishment required status or the cached replenishment required status, and mark them as the regions requiring replenishment; Determine whether the carbon emission monitoring status of the region requiring replenishment is the pre-stored replenishment required status; if so, mark the corresponding region requiring replenishment as the urgent replenishment region; if not, mark the corresponding region requiring replenishment as the slow replenishment region; Sort the urgent replenishment regions based on the remaining power amount of the urgent replenishment regions to obtain the urgent replenishment data; sort the slow replenishment regions based on the remaining power amount of the slow replenishment regions to obtain the slow replenishment data; Integrate the urgent replenishment data and the slow replenishment data to obtain the regional power configuration data.

9. The regional power carbon emission monitoring system according to claim 8, wherein Sorting the urgent replenishment regions based on the remaining power amount of the urgent replenishment regions to obtain the urgent replenishment data: Extract the remaining power amount of the urgent replenishment regions and the corresponding carbon emission transmission status; Set the power coefficient, transmission coefficient, and distance coefficient for the remaining power amount, indirect average transmission amount, and the distance of the transmission route respectively; The emergency replenishment coefficient JBS is calculated through the formula JBS = α1 -DLY -lnCSL × α2 + CSJ -α3 where DLY represents the power surplus, CSL represents the indirect average transmission volume, CSJ represents the distance of the transmission route, α1 represents the power coefficient, 3 > α1 > 1, α2 represents the transmission coefficient, 5 > α2 > 0, α3 represents the distance coefficient, 1 > α3 > 0; α1, α2, and α3 are set based on the influence degrees of the power surplus, the indirect average transmission volume, and the distance of the transmission route on the selection of the emergency replenishment area; Sort the urgent replenishment regions according to the size of the urgent replenishment coefficient JBS to obtain the urgent replenishment serial number, and integrate the urgent replenishment serial number and the corresponding remaining power amount into the urgent replenishment data.

10. A regional power carbon emission monitoring system according to claim 8, characterized in that, Sorting the slow replenishment regions based on the remaining power amount of the slow replenishment regions to obtain the slow replenishment data, including: Extract the remaining power amount of the slow replenishment regions and the corresponding carbon emission transmission status; Sort and number in descending order according to the size of the remaining power amount to obtain the slow replenishment serial number, and select the transmission route in ascending order of the slow replenishment serial number; Sort the transmission routes in ascending order of the serial number, and select the transmission route with the smallest serial number as the slow replenishment route; Integrate the slow replenishment serial number of the slow replenishment region and the corresponding slow replenishment route to obtain the slow replenishment data.

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