Urban carbon emission intelligent management system and method based on AI

Abstract

The invention relates to the technical field of urban carbon emission intelligent management, and discloses an AI-based urban carbon emission intelligent management system and method. Comprising an urban industrial carbon emission data processing module, an urban traffic carbon emission data processing module, a resident energy use carbon emission data processing module, an urban carbon sink data processing module, a carbon emission gathering module and a carbon emission processing demand module. According to the method, the total amount of carbon emission of an industrial area of a current city and a corresponding industrial area in a collection period, the number of traveling vehicles and the total traveling kilometers in the collection period are combined with the total amount of fuel gas and coal used by residents in the current city in the collection period and the total greening area of the city; and meanwhile, early warning and management are carried out according to the urban carbon emission indexes and the urban carbon emission total amount, so that the actual condition of the carbon emission is measured in time, and early warning is carried out according to the actual condition.

Description

Technical Field

[0001] The present invention relates to the technical field of urban carbon emission intelligent management, and in particular to an AI-based urban carbon emission intelligent management system and method. Background Art

[0002] Carbon emissions are greenhouse gas emissions, which cause the greenhouse effect and raise global temperatures. While absorbing solar radiation, the earth also radiates heat to outer space. Its thermal radiation is mainly long-wave infrared rays of 3 to 30 μm. When such long-wave radiation enters the atmosphere, it is easily absorbed by some gas molecules with larger molecular weight and stronger polarity. Since the energy of infrared rays is low, it is not enough to cause the breakage of molecular bonds. Therefore, no chemical reaction occurs after gas molecules absorb infrared radiation, but only blocks heat from escaping from the earth, which is equivalent to an insulating layer between the earth and outer space, that is, the role of a "greenhouse". The absorption of long-wave radiation by certain trace components in the atmosphere keeps the heat near the ground, thus causing the phenomenon of global temperature rise, which is called the greenhouse effect. The common carbon emission smart city management cloud platforms on the market generally do not have remote monitoring and alarm functions, resulting in the inability to effectively monitor emission values ​​and safety during carbon emissions, and there are certain safety hazards. Summary of the invention

[0003] In view of the shortcomings of the existing technology, the present invention provides an AI-based urban carbon emissions intelligent management system and method, which has the advantages of timely measuring the actual situation of carbon emissions and issuing early warnings based on the actual situation, thereby solving the above-mentioned technical problems.

[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an AI-based urban carbon emission intelligent management system, comprising an urban industrial carbon emission data processing module, an urban transportation carbon emission data processing module, a resident energy use carbon emission data processing module, an urban carbon sink data processing module, a carbon emission summary module and a carbon emission processing demand module;

[0005] The urban industrial carbon emission data processing module includes an industrial carbon emission data collection unit and an industrial carbon emission data calculation unit. The industrial carbon emission data collection unit is used to collect the total carbon emissions of all industrial areas in the current city and the corresponding industrial areas within the collection period, and transmit the total carbon emissions of the industrial areas within the set time interval to the industrial carbon emission data calculation unit for calculation to obtain the total industrial carbon emissions. ;

[0006] The urban traffic carbon emission data processing module includes an urban traffic vehicle travel quantity collection unit, an urban traffic vehicle carbon emission analysis unit and an urban traffic carbon emission calculation unit. The urban traffic vehicle travel quantity collection unit is used to collect the number of travel vehicles and the total travel kilometers in the current collection period. The urban traffic vehicle carbon emission analysis unit is used to analyze and calculate the number of travel vehicles and the total travel kilometers to obtain the total traffic carbon emission. ;

[0007] The residential energy use carbon emission data processing module includes a residential energy use amount collection unit and a residential carbon emission calculation unit. The residential energy use amount collection unit is used to collect the total amount of gas and coal used by residents during the collection period, and the residential carbon emission calculation unit is used to calculate the total amount of residential carbon emissions. ;

[0008] The urban carbon sink data processing module includes an urban greening area collection unit and an urban carbon sink data calculation unit. The urban greening area collection unit is used to collect the total greening area of ​​the city, and the urban carbon sink data calculation unit is used to calculate the urban carbon sink to obtain the total urban carbon sink. ;

[0009] The carbon emission summary module obtains the total carbon emissions of the city based on the total industrial carbon emissions, the total traffic carbon emissions, the total residential carbon emissions and the total urban carbon sink. and send the total amount of urban carbon emissions to the carbon emission processing demand module;

[0010] The carbon emission processing demand module is based on the stored urban carbon emission indicators and the total urban carbon emission To provide early warning.

[0011] As a preferred technical solution of the present invention, the urban industrial carbon emission data processing module calculates the total industrial carbon emission amount using the following expression: ; ; in, Respectively represent the first industrial area in the city, , No. Industrial areas, , No. industrial areas, They represent the total carbon emissions of the first industrial area in the city during the collection period, , No. The total carbon emissions of each industrial area during the collection period, , No. The total carbon emissions of an industrial area during the collection period, represents the total industrial carbon emissions, Express The total carbon emissions of each industrial area during the collection period are summed up.

[0012] As a preferred technical solution of the present invention, the specific operation steps of the urban traffic carbon emission data processing module are as follows:

[0013] Step A1: Divide the acquisition cycle into part;

[0014] Step A2: for the segmented The urban traffic vehicle travel quantity collection unit collects the The number of vehicles in the segment is calculated, and different vehicles are grouped according to the carbon emissions per kilometer and the total travel kilometers, and the fuzzy carbon emissions are calculated. The traffic carbon emissions of each segment are calculated based on the fuzzy carbon emissions;

[0015] Step A3: Calculate the total traffic carbon emissions based on the traffic carbon emissions of each section calculated in step A2.

[0016] As a preferred technical solution of the present invention, the specific expression for calculating the fuzzy carbon emissions in step A2 is as follows: ; in, After segmentation, The fuzzy carbon emissions of the segment, After segmentation, The median carbon emissions per kilometer in each segment, After segmentation, Total travel kilometres per segment, After segmentation, Maximum kilometres per segment, After segmentation, Minimum kilometres for each segment.

[0017] As a preferred technical solution of the present invention, the specific expression for calculating the total amount of traffic carbon emissions in step A3 is as follows: ; in, represents the total carbon emissions from transportation, After segmentation, The fuzzy carbon emissions of the segment.

[0018] As a preferred technical solution of the present invention, the residential energy use carbon emission data processing module calculates the total amount of residential carbon emissions The specific expression is as follows: ; in, represents the total carbon emissions of residents, represents coal consumption, Indicates gas consumption. represents the carbon emissions per unit of coal consumption, Indicates the carbon emissions per unit of gas consumption.

[0019] As a preferred technical solution of the present invention, the urban carbon sink data processing module obtains the total amount of urban carbon sinks The specific expression is as follows: ; in, represents the total urban carbon sink, represents the initial carbon sink of the city, represents the total green area of ​​the city, Represents the total initial green area of ​​the city.

[0020] As a preferred technical solution of the present invention, the carbon emission summary module obtains the total carbon emissions of the city The specific expression is as follows: ; in, represents the total carbon emissions of the city, represents the total carbon emissions from transportation, represents the total industrial carbon emissions, Represents the total carbon emissions of residents.

[0021] As a preferred technical solution of the present invention, the carbon emission processing demand module uses an early warning function to perform early warning. The specific expression of the early warning function is as follows: ; in, represents the warning function, represents the total carbon emissions of the city, Represents the city's carbon emission index, when the warning function When different values ​​are output, different degrees of warning are given.

[0022] The present invention also provides an AI-based urban carbon emission intelligent management method, based on the above-mentioned AI-based urban carbon emission intelligent management system, comprising the following steps:

[0023] Step 1: Collect the total carbon emissions of all industrial areas in the current city and the corresponding industrial areas during the collection period, collect the number of vehicles traveling and the total travel kilometers during the current collection period, collect the total amount of gas and coal used by residents during the collection period, and collect the total green area of ​​the city;

[0024] Step 2: Calculate the total industrial carbon emissions , Total carbon emissions from transportation , Total carbon emissions from residents and urban carbon sink ;

[0025] Step 3: Based on total industrial carbon emissions , Total carbon emissions from transportation , Total carbon emissions from residents and urban carbon sink Calculate the total carbon emissions of the city ;

[0026] Step 4: Based on the city’s carbon emission indicators and total urban carbon emissions To provide early warning.

[0027] Compared with the prior art, the present invention provides an AI-based urban carbon emission intelligent management system and method, which has the following beneficial effects:

[0028] The present invention calculates the total carbon emissions of the city by combining the total amount of carbon emissions from the industrial areas of the current city and the corresponding industrial areas during the collection period, the number of vehicles traveling and the total travel kilometres during the collection period, and the total amount of gas and coal used by the residents of the current city during the collection period and the total green area of ​​the city. At the same time, early warning and management are carried out based on the city's carbon emission indicators and the total amount of carbon emissions of the city, so as to timely measure the actual situation of carbon emissions and issue early warnings based on the actual situation. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a schematic diagram of the system framework of the present invention;

[0030] Figure 2 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] See also Figure 1-2 , an AI-based urban carbon emission intelligent management system, including urban industrial carbon emission data processing module, urban transportation carbon emission data processing module, residential energy use carbon emission data processing module, urban carbon sink data processing module, carbon emission summary module and carbon emission processing demand module;

[0033] The urban industrial carbon emission data processing module includes an industrial carbon emission data collection unit and an industrial carbon emission data calculation unit. The industrial carbon emission data collection unit is used to collect the total carbon emissions of all industrial areas in the current city and the corresponding industrial areas within the collection period, and transmit the total carbon emissions of the industrial areas within the set time interval to the industrial carbon emission data calculation unit for calculation to obtain the total industrial carbon emissions. , the urban industrial carbon emission data processing module calculates the total industrial carbon emission expression as follows: ; ; in, Respectively represent the first industrial area in the city, , No. Industrial areas, , No. industrial areas, They represent the total carbon emissions of the first industrial area in the city during the collection period, , No. The total carbon emissions of each industrial area during the collection period, , No. The total carbon emissions of an industrial area during the collection period, represents the total industrial carbon emissions, represents the industrial emissions dataset, Express The total carbon emissions of each industrial area during the collection period are summed up.

[0034] The urban traffic carbon emission data processing module includes an urban traffic vehicle travel quantity collection unit, an urban traffic vehicle carbon emission analysis unit and an urban traffic carbon emission calculation unit. The urban traffic vehicle travel quantity collection unit is used to collect the number of travel vehicles and the total travel kilometers in the current collection period. The urban traffic vehicle carbon emission analysis unit is used to analyze and calculate the number of travel vehicles and the total travel kilometers to obtain the total traffic carbon emission. ,The specific operation steps of the urban traffic carbon emission data processing module are as follows:

[0035] Step A1: Divide the acquisition cycle into part;

[0036] Step A2: for the segmented The urban traffic vehicle travel quantity collection unit collects the The number of vehicles in the segment is calculated, and different vehicles are grouped according to the carbon emissions per kilometer and the total travel kilometers, and the fuzzy carbon emissions are calculated. The traffic carbon emissions of each segment are calculated based on the fuzzy carbon emissions. The specific expression for calculating the fuzzy carbon emissions in step A2 is as follows: ; in, After segmentation, The fuzzy carbon emissions of the segment, After segmentation, The median carbon emissions per kilometer in each segment, After segmentation, Total travel kilometres per segment, After segmentation, Maximum kilometres per segment, After segmentation, Minimum kilometres per segment;

[0037] Step A3: Calculate the total traffic carbon emissions based on the traffic carbon emissions of each section calculated in step A2. The specific expression for the total traffic carbon emissions calculated in step A3 is as follows: ; in, represents the total carbon emissions from transportation, After segmentation, The fuzzy carbon emissions of the segment;

[0038] The residential energy use carbon emission data processing module includes a residential energy use collection unit and a residential carbon emission calculation unit. The residential energy use collection unit is used to collect the total amount of gas and coal used by residents during the collection period, and the residential carbon emission calculation unit is used to calculate the total amount of residential carbon emissions. , the residential energy use carbon emission data processing module calculates the total residential carbon emission The specific expression is as follows: ; in, represents the total carbon emissions of residents, represents coal consumption, Indicates gas consumption. represents the carbon emissions per unit of coal consumption, Indicates the carbon emissions per unit of gas consumption;

[0039] The urban carbon sink data processing module includes an urban greening area collection unit and an urban carbon sink data calculation unit. The urban greening area collection unit is used to collect the total greening area of ​​the city, and the urban carbon sink data calculation unit is used to calculate the urban carbon sink and obtain the total amount of urban carbon sink. , the urban carbon sink data processing module obtains the total amount of urban carbon sink The specific expression is as follows: ; in, represents the total urban carbon sink, represents the initial carbon sink of the city, represents the total green area of ​​the city, represents the total initial green area of ​​the city;

[0040] The carbon emission summary module obtains the total carbon emissions of the city based on the total industrial carbon emissions, total transportation carbon emissions, total residential carbon emissions and total urban carbon sinks. The total carbon emissions of the city are sent to the carbon emission processing demand module, and the carbon emission summary module obtains the total carbon emissions of the city The specific expression is as follows: ; in, represents the total carbon emissions of the city, represents the total carbon emissions from transportation, represents the total industrial carbon emissions, represents the total carbon emissions of residents;

[0041] The carbon emission processing demand module is based on the stored urban carbon emission indicators and the total urban carbon emissions. To carry out early warning, the carbon emission treatment demand module uses the early warning function to carry out early warning. The specific expression of the early warning function is as follows: ; in, represents the warning function, represents the total carbon emissions of the city, Represents the city's carbon emission index, when the warning function When different values ​​are output, different degrees of warning are given.

[0042] The present invention also includes a data visualization module. During the collection process of the industrial carbon emission data collection unit in the urban industrial carbon emission data processing module, enterprises and factories are marked on the map, and the carbon emission data of each enterprise or factory is stored. When the early warning function issues a primary warning, that is, When viewing the situation of each factory through the labeled map layer stored in the data visualization module, you can directly see whether there are any factories with excessive emissions. For factories with excessive emissions, reasonable scheduling can be carried out, and so on.

[0043] Embodiment 1:

[0044] This example uses an administrative district in a city as the experimental object. The total industrial carbon emissions expression of the area and the total industrial carbon emissions , , Total carbon emissions from transportation , in, , , , , Total carbon emissions for residents , For urban carbon sinks , Total urban carbon emissions , At this time, it is brought into the early warning function for judgment. , Indicates a medium-level warning, requiring control;

[0045] Embodiment 2:

[0046] This example uses an administrative district in a city as the experimental object. The total industrial carbon emissions expression of the area and the total industrial carbon emissions , , Total carbon emissions from transportation , Total carbon emissions for residents , For urban carbon sinks , Total urban carbon emissions , At this time, it is brought into the early warning function for judgment. , Indicates a low-level warning that requires control.

[0047] The present invention also provides an AI-based urban carbon emission intelligent management method, based on the above-mentioned AI-based urban carbon emission intelligent management system, comprising the following steps:

[0048] Step 1: Collect the total carbon emissions of all industrial areas in the current city and the corresponding industrial areas during the collection period, collect the number of vehicles traveling and the total travel kilometers during the current collection period, collect the total amount of gas and coal used by residents during the collection period, and collect the total green area of ​​the city;

[0049] Step 2: Calculate the total industrial carbon emissions , Total carbon emissions from transportation , Total carbon emissions from residents and urban carbon sink ;

[0050] Step 3: Based on total industrial carbon emissions , Total carbon emissions from transportation , Total carbon emissions from residents and urban carbon sink Calculate the total carbon emissions of the city ;

[0051] Step 4: Based on the city’s carbon emission indicators and total urban carbon emissions To provide early warning.

[0052] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. AI-based urban carbon emission intelligent management system, characterized by: It includes urban industrial carbon emission data processing module, urban transportation carbon emission data processing module, residential energy use carbon emission data processing module, urban carbon sink data processing module, carbon emission summary module and carbon emission processing demand module; The urban industrial carbon emission data processing module includes an industrial carbon emission data collection unit and an industrial carbon emission data calculation unit. The industrial carbon emission data collection unit is used to collect the total carbon emissions of all industrial areas in the current city and the corresponding industrial areas within the collection period, and transmit the total carbon emissions of the industrial areas within the set time interval to the industrial carbon emission data calculation unit for calculation to obtain the total industrial carbon emissions. ; The urban traffic carbon emission data processing module includes an urban traffic vehicle travel quantity collection unit, an urban traffic vehicle carbon emission analysis unit and an urban traffic carbon emission calculation unit. The urban traffic vehicle travel quantity collection unit is used to collect the number of travel vehicles and the total travel kilometers in the current collection period. The urban traffic vehicle carbon emission analysis unit is used to analyze and calculate the number of travel vehicles and the total travel kilometers to obtain the total traffic carbon emission. ; The residential energy use carbon emission data processing module includes a residential energy use amount collection unit and a residential carbon emission calculation unit. The residential energy use amount collection unit is used to collect the total amount of gas and coal used by residents during the collection period, and the residential carbon emission calculation unit is used to calculate the total amount of residential carbon emissions. ; The urban carbon sink data processing module includes an urban greening area collection unit and an urban carbon sink data calculation unit. The urban greening area collection unit is used to collect the total greening area of ​​the city, and the urban carbon sink data calculation unit is used to calculate the urban carbon sink to obtain the total urban carbon sink. ; The carbon emission summary module obtains the total carbon emissions of the city based on the total industrial carbon emissions, the total traffic carbon emissions, the total residential carbon emissions and the total urban carbon sink. and send the total amount of urban carbon emissions to the carbon emission processing demand module; The carbon emission processing demand module is based on the stored urban carbon emission indicators and the total urban carbon emission To provide early warning.

2. The AI-based urban carbon emission intelligent management system according to claim 1 is characterized by: The urban industrial carbon emission data processing module calculates the total industrial carbon emission amount using the following expression: ； ； in, Respectively represent the first industrial area in the city, , No. Industrial areas, , No. industrial areas, They represent the total carbon emissions of the first industrial area in the city during the collection period, , No. The total carbon emissions of each industrial area during the collection period, , No. The total carbon emissions of an industrial area during the collection period, represents the total industrial carbon emissions, Express The total carbon emissions of each industrial area during the collection period are summed up.

3. The AI-based urban carbon emission intelligent management system according to claim 1 is characterized by: The specific operation steps of the urban traffic carbon emission data processing module are as follows: Step A1: Divide the acquisition cycle into part; Step A2: for the segmented The urban traffic vehicle travel quantity collection unit collects the The number of vehicles in the segment is calculated, and different vehicles are grouped according to the carbon emissions per kilometer and the total travel kilometers, and the fuzzy carbon emissions are calculated. The traffic carbon emissions of each segment are calculated based on the fuzzy carbon emissions; Step A3: Calculate the total traffic carbon emissions based on the traffic carbon emissions of each section calculated in step A2.

4. The AI-based urban carbon emission intelligent management system according to claim 3 is characterized by: The specific expression for calculating the fuzzy carbon emissions in step A2 is as follows: ； in, After segmentation, The fuzzy carbon emissions of the segment, After segmentation, The median carbon emissions per kilometer in each segment, After segmentation, Total travel kilometres per segment, After segmentation, Maximum kilometres per segment, After segmentation, Minimum kilometres per section.

5. The AI-based urban carbon emission intelligent management system according to claim 4 is characterized by: The specific expression for calculating the total amount of traffic carbon emissions in step A3 is as follows: ； in, represents the total carbon emissions from transportation, After segmentation, The fuzzy carbon emissions of the segment.

6. The AI-based urban carbon emission intelligent management system according to claim 1 is characterized by: The resident energy use carbon emission data processing module calculates the total carbon emission of the residents The specific expression is as follows: ； in, represents the total carbon emissions of residents, represents coal consumption, Indicates gas consumption. represents the carbon emissions per unit of coal consumption, Indicates the carbon emissions per unit of gas consumption.

7. The AI-based urban carbon emission intelligent management system according to claim 1 is characterized by: The urban carbon sink data processing module obtains the total amount of urban carbon sink The specific expression is as follows: ； in, represents the total urban carbon sink, represents the initial carbon sink of the city, represents the total green area of ​​the city, Represents the total initial green area of ​​the city.

8. The AI-based urban carbon emission intelligent management system according to claim 1 is characterized by: The carbon emission summary module obtains the total carbon emissions of the city The specific expression is as follows: ； in, represents the total carbon emissions of the city, represents the total carbon emissions from transportation, represents the total industrial carbon emissions, Represents the total carbon emissions of residents.

9. The AI-based urban carbon emission intelligent management system according to claim 8 is characterized by: The carbon emission processing demand module uses an early warning function to provide early warning. The specific expression of the early warning function is as follows: ； in, represents the warning function, represents the total carbon emissions of the city, Represents the city's carbon emission index, when the warning function When different values ​​are output, different degrees of warning are given.

10. An AI-based urban carbon emission intelligent management method, based on the AI-based urban carbon emission intelligent management system according to any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: Collect the total carbon emissions of all industrial areas in the current city and the corresponding industrial areas during the collection period, collect the number of vehicles traveling and the total travel kilometers during the current collection period, collect the total amount of gas and coal used by residents during the collection period, and collect the total green area of ​​the city; Step 2: Calculate the total industrial carbon emissions , Total carbon emissions from transportation , Total carbon emissions from residents and urban carbon sink ; Step 3: Based on total industrial carbon emissions , Total carbon emissions from transportation , Total carbon emissions from residents and urban carbon sink Calculate the total carbon emissions of the city ; Step 4: Based on the city’s carbon emission indicators and total urban carbon emissions To provide early warning.

Images