Space-time distribution data visualization-oriented agricultural planting family carbon emission calculation system
By designing a carbon emission calculation system for agricultural households guided by spatiotemporal distribution data visualization, the problem of low calculation accuracy in existing technologies has been solved, enabling accurate calculation of carbon emissions from agricultural households and the detection of abnormal data.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- BUILDING DESIGN RES INST HARBIN INST OF TECH
- Filing Date
- 2026-01-23
- Publication Date
- 2026-05-08
AI Technical Summary
Existing carbon emission calculation methods have low accuracy in agricultural households and cannot effectively reflect differences in time and space distribution.
A spatiotemporally distributed data visualization-oriented carbon emission calculation system for agricultural households was designed. The system calculates carbon emissions in both residential and agricultural sectors through a data acquisition module, a total carbon emission acquisition module for residential sectors, a total carbon emission acquisition module for agricultural sectors, a carbon emission analysis module, and an anomaly reporting module. It also generates analysis charts and identifies abnormal data.
It improves the accuracy of carbon emission calculations, can detect abnormal carbon emission data, takes into account the cyclical nature of agricultural activities, avoids the problem of inaccurate calculations, and enhances the precision of calculations.
Smart Images

Figure CN121998248A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of carbon emission calculation, and in particular to a carbon emission calculation system for agricultural households guided by spatiotemporal distribution data visualization. Background Technology
[0002] Agricultural carbon emissions constitute a major portion of carbon emissions from human agricultural production. Reducing agricultural carbon emissions is an inevitable trend for the green and high-quality development of agriculture and an important part of achieving green and ecological development. With the increasingly severe global climate change problem, greenhouse gas emission reduction has become a focus of widespread international attention. Therefore, the calculation of carbon emissions is a key research area in this field.
[0003] Currently, the basic unit for calculating carbon emissions is mostly cities and neighborhoods, and carbon emissions are calculated on an annual basis. However, the base forms, arable land areas and shapes of agricultural households vary, and the choice of crops and the use of fertilizers will cause different carbon emissions in different rural areas. Moreover, due to the cyclical nature of agricultural activities such as planting and harvesting seasons, the carbon emissions of agricultural households will have uneven temporal distribution. Therefore, the application of current carbon emission calculation methods to agricultural households will lead to low accuracy in carbon emission calculation. Summary of the Invention
[0004] This invention addresses the problem of low accuracy in calculating carbon emissions from agricultural households using existing carbon emission calculation methods, and proposes a spatiotemporally distributed data visualization-oriented carbon emission calculation system for agricultural households.
[0005] A spatiotemporally distributed data visualization-oriented agricultural household carbon emission calculation system includes: a data acquisition module, a total carbon emission acquisition module for the residential sector, a total carbon emission acquisition module for the agricultural sector, a carbon emission analysis module, and an anomaly reporting module;
[0006] The data acquisition module is used to obtain data on homestead locations, farmland locations, household electricity consumption, water consumption, natural gas consumption, domestic waste generation, travel information, and planting process within the study area;
[0007] The planting process data includes: crop type information, planting time, fertilizer application information, agricultural machinery usage information, and straw processing information;
[0008] The module for obtaining total carbon emissions in the residential sector uses household electricity consumption, water consumption, natural gas consumption, household waste generation, and travel information to obtain total carbon emissions in the residential sector.
[0009] The module for obtaining total carbon emissions in the agricultural sector acquires data from agricultural planting households based on planting process data. Total carbon emissions generated on day b of planting crops ;
[0010] The carbon emission analysis module is used to draw carbon emission analysis maps for the residential area and the agricultural area based on the location of homesteads, the location of cultivated land, the total carbon emissions in the residential area, and the total carbon emissions in the agricultural area.
[0011] The anomaly reporting module determines whether there is abnormal carbon emission data based on the carbon emission analysis charts for the residential sector and the agricultural sector. If there is abnormal carbon emission data, it reports it.
[0012] Furthermore, the total carbon emissions acquisition module for the residential sector includes: an electricity carbon emissions acquisition unit, a water carbon emissions acquisition unit, a natural gas carbon emissions acquisition unit, a household waste carbon emissions acquisition unit, a transportation carbon emissions acquisition unit, a renewable energy system carbon emissions reduction acquisition unit, and a total carbon emissions acquisition unit for the residential sector.
[0013] The electricity carbon emission acquisition unit uses household electricity consumption data for agricultural planting households on day b. Carbon emissions from electricity in the household sector Specifically:
[0014]
[0015] in, It is the bth day of agricultural planting family Carbon emissions from electricity in the household sector. It represents the total number of different types of energy sources used in household electricity supply. It is the label for the type of household power supply. It is the carbon emission factor of the i-th type of power supply energy. It is the bth day of agricultural planting family The electricity provided by the i-th type of power source;
[0016] The water and carbon emissions acquisition unit uses water consumption data to obtain data on agricultural planting households on day b. Water and carbon emissions in the household sector;
[0017] The natural gas carbon emission acquisition unit uses natural gas usage data to obtain data on agricultural planting households on day b. Natural gas emissions in residential areas;
[0018] The household waste carbon emission acquisition unit uses the amount of household waste generated to obtain data on the agricultural planting households on day b. Carbon emissions from household waste;
[0019] The transportation carbon emission acquisition unit uses travel information to obtain data on agricultural planting households on day b. Carbon emissions from transportation in the residential sector;
[0020] The carbon emission reduction acquisition unit of the renewable energy system is used to acquire data on agricultural planting households on day b. Carbon emission reductions from renewable energy sources in the residential sector are specifically as follows:
[0021]
[0022] in, It is the bth day of agricultural planting family Carbon reduction in residential sectors due to renewable energy It is a label indicating the type of renewable energy used in household life. It represents the total number of types of renewable energy in household life. It is the first Carbon reduction emission factor of renewable energy sources It is the bth day of agricultural planting family No. Energy generated by renewable energy sources;
[0023] The unit for obtaining total carbon emissions in the residential sector uses carbon emissions from electricity, water, natural gas, household waste, transportation, and carbon emission reduction from renewable energy systems to obtain the total carbon emissions from agricultural planting and household residential sectors.
[0024] Furthermore, the water carbon emission acquisition unit uses water consumption to acquire the water carbon emission of agricultural planting household a household living area on day b, specifically as follows:
[0025]
[0026] in, It is the bth day of agricultural planting family Water and carbon emissions in household life It is a water supply energy type label. It is the total number of types of water supply energy. It is the first Carbon emission factors of water-based energy sources It is the bth day of agricultural planting family No. The amount of water provided by water-related energy sources.
[0027] Furthermore, the natural gas carbon emission acquisition unit uses natural gas consumption data to obtain data on agricultural planting households on day b. Natural gas emissions in the residential sector are as follows:
[0028]
[0029] in, It is the bth day of agricultural planting family Natural gas emissions in residential areas It is the designation for the type of natural gas energy used in homes. This represents the total number of different types of natural gas energy used in households. It is the first Carbon emission factors of natural gas energy It is the bth day of agricultural planting family No. The amount of water supplied by natural gas energy.
[0030] Furthermore, the household waste carbon emission acquisition unit uses the amount of household waste generated to obtain data on the agricultural planting households on day b. Carbon emissions from household waste are as follows:
[0031]
[0032] in, It is the bth day of agricultural planting family Carbon emissions from household waste These are the source categories of household waste. This represents the total number of different sources of household waste. It is the first Carbon emission factors from waste-like sources It is the bth day of agricultural planting family No. The amount of waste generated from different types of waste.
[0033] Furthermore, the transportation carbon emission acquisition unit uses travel information to acquire the transportation carbon emissions of agricultural planting household a in the living area on day b, specifically as follows:
[0034]
[0035] in, It is the bth day of agricultural planting family Carbon emissions from transportation in the residential sector These are the classifications of transportation methods used in family life. It represents the total number of modes of transportation used in family life. It is the first Carbon emission factors of different modes of transportation It is the bth day of agricultural planting family No. The distance traveled by a mode of transportation.
[0036] Furthermore, the total carbon emissions acquisition unit for the residential sector utilizes carbon emissions from electricity, water, natural gas, household waste, transportation, and carbon emission reduction from renewable energy systems to acquire the total carbon emissions from agricultural planting and household residential sectors. Specifically:
[0037]
[0038] in, It is the first Tian Agriculture Planting Family Total carbon emissions in the residential sector.
[0039] Furthermore, the module for obtaining total carbon emissions in the agricultural sector acquires data from agricultural planting households based on planting process data. Total carbon emissions generated on day b of planting crops Specifically:
[0040]
[0041] in, Agricultural planting family The total carbon emissions generated on day b of planting crops. Agricultural planting family Total carbon emissions from crop cultivation. yes The carbon emission cycle of crops from planting to harvest.
[0042] Furthermore, the carbon emission analysis module is used to draw carbon emission analysis maps for the residential sector and the agricultural sector based on the location of homesteads, the location of cultivated land, the total carbon emissions in the residential sector, and the total carbon emissions in the agricultural sector. Specifically:
[0043] A1. Divide the residential land area within the study area grid according to the proportion of each carbon emission value in the residential area to the total carbon emission of the residential area, and fill in different colors to obtain the carbon emission distribution map of the residential area on day b; at the same time, draw a pie chart of carbon emission of the residential area on day b according to the proportion of each carbon emission value in the residential area to the total carbon emission of the residential area.
[0044] A2. Use the daily total carbon emissions in the residential sector to create a line graph of time versus total carbon emissions in the residential sector, and use the daily total carbon emissions in the agricultural sector to create a line graph of time versus total carbon emissions in the agricultural sector.
[0045] A3. Using daily carbon emissions from various sectors of daily life, create line graphs for carbon emissions over time: electricity, water, natural gas, household waste, transportation, and carbon emission reduction from renewable energy systems.
[0046] Furthermore, the anomaly reporting module determines whether there is abnormal carbon emission data based on the carbon emission analysis charts for the residential sector and the agricultural sector, specifically as follows:
[0047] If the daily Category A carbon emissions exceed 10% of the average Category A carbon emissions over a preset historical period, it indicates that the daily Category A carbon emissions are abnormal.
[0048] The beneficial effects of this invention are as follows:
[0049] This invention calculates carbon emissions from both the residential and agricultural sectors of agricultural households. Taking into account various carbon emission data in the residential sector, it calculates the carbon emissions generated by different categories separately, making it easier for users to identify abnormal carbon emission data. Recognizing the cyclical nature of agricultural activities in agricultural households, this invention analyzes carbon emissions over time. By calculating carbon emissions from the residential and agricultural sectors separately, it avoids inaccuracies caused by agricultural activities and improves the accuracy of carbon emission calculations. Attached Figure Description
[0050] Figure 1 This is a flowchart of the present invention. Detailed Implementation
[0051] Specific implementation method one: as follows Figure 1 As shown, this embodiment of an agricultural household carbon emission calculation system guided by spatiotemporal distribution data visualization includes: a data acquisition module, a total carbon emission acquisition module for the residential sector, a total carbon emission acquisition module for the agricultural sector, a carbon emission analysis module, and an anomaly reporting module.
[0052] The data acquisition module is used to draw a grid within the study area and obtain data on the location and shape of homesteads, the location and shape of cultivated land, the number of permanent residents in a household, household electricity consumption, water consumption, natural gas consumption, and the amount of domestic waste generated, as well as travel information (mode of transportation), winter heating methods, and planting process data.
[0053] The planting process data includes: arable land spatial geographic coordinate data, arable land area data, arable land shape data, crop type information, planting time, fertilizer application information (start and end time, type, amount), agricultural machinery usage information (machine type, start and end time), and straw treatment information (treatment method, treatment start and end time).
[0054] The grid size is 1m × 1m;
[0055] The module for obtaining total carbon emissions in the residential sector uses household electricity consumption, water consumption, natural gas consumption, household waste generation, and travel information to obtain total carbon emissions in the residential sector.
[0056] The total carbon emissions acquisition module for the residential sector includes: an electricity carbon emissions acquisition unit, a water carbon emissions acquisition unit, a natural gas carbon emissions acquisition unit, a household waste carbon emissions acquisition unit, a transportation carbon emissions acquisition unit, a renewable energy system carbon emissions reduction acquisition unit, and a total carbon emissions acquisition unit for the residential sector.
[0057] The electricity carbon emission acquisition unit uses household electricity consumption data for agricultural planting households on day b. Carbon emissions from electricity in the household sector Specifically:
[0058]
[0059] in, It is the bth day of agricultural planting family Carbon emissions from electricity in the household sector. It represents the total number of different types of energy sources used in household electricity supply. It is the label for the type of household power supply. It is the carbon emission factor of the i-th type of power supply energy. It is the bth day of agricultural planting family The electricity provided by the i-th type of power source;
[0060] The water carbon emission acquisition unit uses water consumption to acquire the water carbon emission of agricultural planting household a household living area on day b, specifically:
[0061]
[0062] in, It is the bth day of agricultural planting family Water and carbon emissions in household life It is a water supply energy type label. It is the total number of types of water supply energy. It is the first Carbon emission factors of water-based energy sources It is the bth day of agricultural planting family No. The amount of water provided by this type of water supply energy;
[0063] The natural gas carbon emission acquisition unit uses natural gas usage data to obtain data on agricultural planting households on day b. Natural gas emissions in the residential sector are as follows:
[0064]
[0065] in, It is the bth day of agricultural planting family Natural gas emissions in residential areas It is the designation for the type of natural gas energy used in homes. This represents the total number of different types of natural gas energy used in households. It is the first Carbon emission factors of natural gas energy It is the bth day of agricultural planting family No. The amount of water supplied by natural gas energy.
[0066] The household waste carbon emission acquisition unit uses the amount of household waste generated to obtain data on the agricultural planting households on day b. Carbon emissions from household waste are as follows:
[0067]
[0068] in, It is the bth day of agricultural planting family Carbon emissions from household waste These are the source categories of household waste. This represents the total number of different sources of household waste. It is the first Carbon emission factors from waste-like sources It is the bth day of agricultural planting family No. The amount of waste generated from different types of waste.
[0069] The transportation carbon emission acquisition unit uses travel information to acquire the transportation carbon emissions of agricultural planting household a living area on day b, specifically:
[0070]
[0071] in, It is the bth day of agricultural planting family Carbon emissions from transportation in the residential sector These are the classifications of transportation methods used in family life. It represents the total number of modes of transportation used in family life. It is the first Carbon emission factors of different modes of transportation It is the bth day of agricultural planting family No. The distance traveled by this mode of transportation;
[0072] The renewable energy system carbon emission reduction acquisition unit is used to acquire the carbon emission reduction of renewable energy in the agricultural planting household a living sector on day b, specifically:
[0073]
[0074] in, It is the bth day of agricultural planting family Carbon reduction in residential sectors due to renewable energy It is a label indicating the type of renewable energy used in household life. It represents the total number of types of renewable energy in household life. It is the first Carbon reduction emission factor of renewable energy sources It is the bth day of agricultural planting family a Energy generated by renewable energy sources;
[0075] The unit for obtaining total carbon emissions from the residential sector utilizes carbon emissions from electricity, water, natural gas, household waste, transportation, and carbon emission reduction from renewable energy systems to obtain the total carbon emissions from agricultural planting and household residential sectors. Specifically:
[0076]
[0077] in, It is the first Tian Agriculture Planting Family Total carbon emissions in the residential sector.
[0078] The module for obtaining total carbon emissions in the agricultural sector uses planting process data to obtain data on agricultural planting households. The total carbon emissions generated on day b of crop cultivation are as follows:
[0079]
[0080]
[0081]
[0082]
[0083]
[0084]
[0085] in, Agricultural planting family The total carbon emissions generated on day b of planting crops. Agricultural planting family Total carbon emissions from crop cultivation. yes The carbon emission cycle of crops from planting to harvesting. It's harvest time. It is the planting time. It is the carbon emissions generated by chemical fertilizers. It refers to the carbon emissions generated by agricultural machinery. It refers to the carbon emissions generated from straw processing. It's the amount of fertilizer applied. It is the carbon emission coefficient of fertilizer. It refers to the daily usage time of agricultural machinery. It refers to the number of days agricultural machinery has been used. This refers to the carbon emissions per unit time of agricultural machinery. It is the total amount of straw processed. It is the carbon emission coefficient of straw.
[0086] The carbon emission factors in this step are obtained from the "Announcement on the Release of 2022 Electricity Carbon Dioxide Emission Factors" and the National Greenhouse Gas Emission Factor Database. Annual carbon emission reduction from renewable energy systems in the household sector refers to the reduction in carbon dioxide (CO2) and other greenhouse gas emissions by households within a year by replacing traditional fossil fuels (such as coal, oil, and natural gas) with renewable energy systems (such as solar, wind, and geothermal energy).
[0087] The carbon emission analysis module is used to generate carbon emission analysis maps for the residential sector and the agricultural sector based on the location of residential land, the location of cultivated land, the total carbon emissions and various carbon emissions in the residential sector, and the total carbon emissions in the agricultural sector. Specifically:
[0088] A1. Divide the residential land area within the study area grid according to the proportion of each carbon emission value in the residential area to the total carbon emission of the residential area, and fill in different colors to obtain the carbon emission distribution map of the residential area on day b; at the same time, draw a pie chart of carbon emission of the residential area on day b according to the proportion of each carbon emission value in the residential area to the total carbon emission of the residential area.
[0089] A2. Use the daily total carbon emissions in the residential sector to create a line graph of time versus total carbon emissions in the residential sector, and use the daily total carbon emissions in the agricultural sector to create a line graph of time versus total carbon emissions in the agricultural sector.
[0090] A3. Using the daily carbon emissions from various sectors of daily life, create line graphs for carbon emissions from electricity, water, natural gas, household waste, transportation, and carbon emission reduction from renewable energy systems over time.
[0091] The anomaly reporting module determines whether there is abnormal carbon emission data based on the carbon emission analysis charts for the residential sector and the agricultural sector, and then reports it.
[0092] If the daily Category A carbon emissions exceed 10% of the average Category A carbon emissions over the previous 10 days, it indicates that the daily Category A carbon emissions are abnormal and should be reported.
Claims
1. A household carbon emission calculation system for agricultural planting guided by spatiotemporal distributed data visualization, characterized in that... The system includes: a data acquisition module, a total carbon emission acquisition module for the residential sector, a total carbon emission acquisition module for the agricultural sector, a carbon emission analysis module, and an anomaly reporting module; The data acquisition module is used to obtain data on homestead locations, farmland locations, household electricity consumption, water consumption, natural gas consumption, domestic waste generation, travel information, and planting process within the study area; The planting process data includes: crop type information, planting time, fertilizer application information, agricultural machinery usage information, and straw processing information; The module for obtaining total carbon emissions in the residential sector uses household electricity consumption, water consumption, natural gas consumption, household waste generation, and travel information to obtain total carbon emissions in the residential sector. The module for obtaining total carbon emissions in the agricultural sector acquires data from agricultural planting households based on planting process data. Total carbon emissions generated on day b of planting crops ; The carbon emission analysis module is used to draw carbon emission analysis maps for the residential area and the agricultural area based on the location of homesteads, the location of cultivated land, the total carbon emissions in the residential area, and the total carbon emissions in the agricultural area. The anomaly reporting module determines whether there is abnormal carbon emission data based on the carbon emission analysis charts for the residential sector and the agricultural sector. If there is abnormal carbon emission data, it reports it.
2. The agricultural household carbon emission calculation system guided by spatiotemporal distribution data visualization according to claim 1, characterized in that: The total carbon emissions acquisition module for the residential sector includes: an electricity carbon emissions acquisition unit, a water carbon emissions acquisition unit, a natural gas carbon emissions acquisition unit, a municipal solid waste carbon emissions acquisition unit, a transportation carbon emissions acquisition unit, a renewable energy system carbon emissions reduction acquisition unit, and a total carbon emissions acquisition unit for the residential sector. The electricity carbon emission acquisition unit uses household electricity consumption data for agricultural planting households on day b. Carbon emissions from electricity in the household sector Specifically: in, It is the bth day of agricultural planting family Carbon emissions from electricity in the household sector. It represents the total number of different types of energy sources used in household electricity supply. It is the label for the type of household power supply. It is the carbon emission factor of the i-th type of power supply energy. It is the bth day of agricultural planting family The electricity provided by the i-th type of power source; The water and carbon emissions acquisition unit uses water consumption data to obtain data on agricultural planting households on day b. Water and carbon emissions in the household sector; The natural gas carbon emission acquisition unit uses natural gas usage data to obtain data on agricultural planting households on day b. Natural gas emissions in residential areas; The household waste carbon emission acquisition unit uses the amount of household waste generated to obtain data on the agricultural planting households on day b. Carbon emissions from household waste; The transportation carbon emission acquisition unit uses travel information to obtain data on agricultural planting households on day b. Carbon emissions from transportation in the residential sector; The carbon emission reduction acquisition unit of the renewable energy system is used to acquire data on agricultural planting households on day b. Carbon emission reductions from renewable energy sources in the residential sector are specifically as follows: in, It is the bth day of agricultural planting family Carbon reduction in residential sectors due to renewable energy It is a label indicating the type of renewable energy used in household life. It represents the total number of types of renewable energy in household life. It is the first Carbon reduction emission factor of renewable energy sources It is the bth day of agricultural planting family No. Energy generated by renewable energy sources; The unit for obtaining total carbon emissions in the residential sector uses carbon emissions from electricity, water, natural gas, household waste, transportation, and carbon emission reduction from renewable energy systems to obtain the total carbon emissions from agricultural planting and household residential sectors.
3. The agricultural household carbon emission calculation system guided by spatiotemporal distribution data visualization according to claim 2, characterized in that: The water carbon emission acquisition unit uses water consumption to acquire the water carbon emission of agricultural planting household a household living area on day b, specifically: in, It is the bth day of agricultural planting family Water and carbon emissions in household life It is a water supply energy type label. It is the total number of types of water supply energy. It is the first Carbon emission factors of water-based energy sources It is the bth day of agricultural planting family No. The amount of water provided by water-supplying energy sources.
4. The household carbon emission calculation system for agricultural planting guided by spatiotemporal distribution data visualization according to claim 3, characterized in that: The natural gas carbon emission acquisition unit uses natural gas usage data to obtain data on agricultural planting households on day b. Natural gas emissions in the residential sector are as follows: in, It is the bth day of agricultural planting family Natural gas emissions in residential areas It is the designation for the type of natural gas energy used in homes. This represents the total number of different types of natural gas energy used in households. It is the first Carbon emission factors of natural gas energy It is the bth day of agricultural planting family No. The amount of water supplied by natural gas energy.
5. The agricultural household carbon emission calculation system guided by spatiotemporal distribution data visualization according to claim 4, characterized in that: The household waste carbon emission acquisition unit uses the amount of household waste generated to obtain data on the agricultural planting households on day b. Carbon emissions from household waste are as follows: in, It is the bth day of agricultural planting family Carbon emissions from household waste These are the source categories of household waste. This represents the total number of different sources of household waste. It is the first Carbon emission factors from waste-like sources It is the bth day of agricultural planting family No. The amount of waste generated from different types of waste.
6. The agricultural household carbon emission calculation system guided by spatiotemporal distribution data visualization according to claim 5, characterized in that: The transportation carbon emission acquisition unit uses travel information to acquire the transportation carbon emissions of agricultural planting household a living area on day b, specifically: in, It is the bth day of agricultural planting family Carbon emissions from transportation in the residential sector These are the classifications of transportation methods used in family life. It represents the total number of modes of transportation used in family life. It is the first Carbon emission factors of different modes of transportation It is the bth day of agricultural planting family No. The distance traveled by a mode of transportation.
7. The agricultural household carbon emission calculation system guided by spatiotemporal distribution data visualization according to claim 6, characterized in that: The unit for obtaining total carbon emissions from the residential sector utilizes carbon emissions from electricity, water, natural gas, household waste, transportation, and carbon emission reduction from renewable energy systems to obtain the total carbon emissions from agricultural planting and household residential sectors. Specifically: in, It is the first Tian Agriculture Planting Family Total carbon emissions in the residential sector.
8. The agricultural household carbon emission calculation system guided by spatiotemporal distribution data visualization according to claim 7, characterized in that: The module for obtaining total carbon emissions in the agricultural sector acquires data from agricultural planting households based on planting process data. Total carbon emissions generated on day b of planting crops Specifically: in, Agricultural planting family The total carbon emissions generated on day b of planting crops. Agricultural planting family Total carbon emissions from crop cultivation. yes The carbon emission cycle of crops from planting to harvest.
9. The agricultural household carbon emission calculation system guided by spatiotemporal distribution data visualization according to claim 8, characterized in that: The carbon emission analysis module is used to generate carbon emission analysis maps for the residential sector and the agricultural sector based on the location of residential land, the location of cultivated land, the total carbon emissions in the residential sector, and the total carbon emissions in the agricultural sector. Specifically: A1. Divide the residential land area within the study area grid according to the proportion of each carbon emission value in the residential area to the total carbon emission of the residential area, and fill in different colors to obtain the carbon emission distribution map of the residential area on day b; at the same time, draw a pie chart of carbon emission of the residential area on day b according to the proportion of each carbon emission value in the residential area to the total carbon emission of the residential area. A2. Use the daily total carbon emissions in the residential sector to create a line graph of time versus total carbon emissions in the residential sector, and use the daily total carbon emissions in the agricultural sector to create a line graph of time versus total carbon emissions in the agricultural sector. A3. Using daily carbon emissions from various sectors of daily life, create line graphs for carbon emissions over time: electricity, water, natural gas, household waste, transportation, and carbon emission reduction from renewable energy systems.
10. The agricultural household carbon emission calculation system guided by spatiotemporal distribution data visualization according to claim 9, characterized in that: The anomaly reporting module determines whether there is abnormal carbon emission data based on the carbon emission analysis charts for the residential sector and the agricultural sector. Specifically: If the daily Category A carbon emissions exceed 10% of the average Category A carbon emissions over a preset historical period, it indicates that the daily Category A carbon emissions are abnormal.