A real-time monitoring system for carbon emissions of urban buildings

Abstract

The application discloses a kind of city building carbon emission real-time monitoring system, belong to city environmental protection field, for solving the problem that city building carbon emission monitoring does not consider human factor and environmental factor comprehensively, does not set corresponding regulatory alarm grade according to the carbon emission of city building, including alarm grading module, artificial monitoring module, regulatory grading module and environmental monitoring module, the artificial monitoring module is used to monitor the human factor of city building carbon emission, the environmental monitoring module is used to monitor the environmental factor of city building carbon emission, the regulatory grading module is used to regulate the grading of city building carbon emission, the alarm grading module is used to alarm grading of city building carbon emission, the present application considers human factor and environmental factor of city building comprehensively when city building carbon emission real-time monitoring, and sets corresponding regulatory grade and alarm grade according to the carbon emission of city building.

Description

Technical Field

[0001] This invention relates to the field of urban environmental protection technology, to emission monitoring technology, and in particular to a real-time monitoring system for carbon emissions from urban buildings. Background Technology

[0002] Carbon emissions generally refer to greenhouse gas emissions, causing the greenhouse effect and leading to a rise in global temperatures. While absorbing solar radiation, the Earth also radiates heat into outer space, primarily in the form of long-wave infrared radiation (3–30 μm). When this long-wave radiation enters the atmosphere, it is easily absorbed by certain gas molecules with larger molecular weights and stronger polarity. Because infrared radiation has low energy, it is insufficient to break molecular bonds. Therefore, no chemical reaction occurs after gas molecules absorb infrared radiation; instead, it merely blocks heat from escaping from the Earth, acting as an insulating layer between the Earth and outer space—the "greenhouse" effect. The absorption of long-wave radiation by certain trace components in the atmosphere, which retains heat near the ground and thus leads to a rise in global temperatures, is known as the greenhouse effect.

[0003] In existing technologies, real-time monitoring of carbon emissions from urban buildings does not comprehensively consider human and environmental factors, resulting in inaccurate real-time monitoring and significant deviations. Furthermore, the lack of corresponding regulatory and alarm levels for carbon emissions from different urban buildings leads to a waste of regulatory and alarm resources, as well as a significant waste of human and material resources. Summary of the Invention

[0004] To address the above problems, this invention provides a real-time monitoring system for carbon emissions from urban buildings.

[0005] The technical problem to be solved by this invention is:

[0006] (1) How to comprehensively consider human and environmental factors when monitoring carbon emissions from urban buildings in real time;

[0007] (2) How to set corresponding regulatory and alarm levels based on the carbon emissions of urban buildings.

[0008] To achieve the above objectives, the present invention provides a real-time monitoring system for carbon emissions from urban buildings, comprising: a user terminal, an alarm classification module, a data acquisition module, a human monitoring module, a regulatory classification module, an environmental monitoring module, and a server;

[0009] The user terminal is used by staff to register and log in to the system after entering personal information and then sending the personal information to the server for storage.

[0010] The data acquisition module is used to collect carbon emission data of urban buildings and send the carbon emission data of urban buildings to the server;

[0011] The server sends the human information in the carbon emission data to the human monitoring module, and sends the environmental information in the carbon emission data to the environmental monitoring module;

[0012] After receiving the human information, the human monitoring module monitors the human factors in urban building carbon emissions. The monitoring process specifically includes:

[0013] Step 1: Label the city buildings as u, u = 1, 2, ..., z, where z is a positive integer;

[0014] Step 2: Obtain the real-time population of city buildings and mark the real-time population as RKu; obtain the real-time vehicle count of city buildings and mark the real-time vehicle count as CLu;

[0015] Step 3: Obtain the height value GDu and the area percentage MJu of the city buildings, and calculate the volume value TJu of the city buildings using the formula TJu=GDu×MJu;

[0016] Step 4: Calculate the anthropogenic impact value RYu of urban building carbon emissions using the formula:

[0017] In the formula, a1, a2 and a3 are all fixed proportionality coefficients, and the values ​​of a1, a2 and a3 are all greater than zero;

[0018] Step 5: Compare the anthropogenic impact value RYu of urban building carbon emissions to the anthropogenic impact threshold YRYu;

[0019] If RYu < YRYu, then the carbon emissions from urban buildings are at the first level of anthropogenic impact, and the corresponding impact coefficient α is obtained.

[0020] If RYu≥YRYu, then the carbon emissions from urban buildings are in the second level of anthropogenic impact, and the corresponding impact coefficient α is obtained;

[0021] The human monitoring module sends the human impact value and impact coefficient of urban building carbon emissions to the server and the regulatory classification module.

[0022] After receiving the environmental information, the environmental monitoring module monitors the environmental factors of urban building carbon emissions and obtains the environmental optimization value YHu and environmental optimization coefficient β of carbon emissions within the urban building environmental monitoring area.

[0023] The environmental monitoring module sends the environmental optimization value and the optimization coefficient to the server and the regulatory rating module;

[0024] After receiving the human impact value and the environmental optimization value, the regulatory rating module performs regulatory rating on the carbon emissions of urban buildings to obtain the regulatory level of urban buildings as the first regulatory level, the second regulatory level, or the third regulatory level.

[0025] The regulatory classification module sends the regulatory level of urban buildings to the server, and the server sends the regulatory level of urban buildings to the alarm classification module;

[0026] After receiving the regulatory level of urban buildings sent by the server, the alarm classification module classifies the carbon emissions of urban buildings into alarm levels. The alarm classification results in a level 3 alarm command, a level 2 alarm command, or a level 1 alarm command. The alarm classification module then sends the level 3 alarm command, level 2 alarm command, or level 1 alarm command to the user terminal.

[0027] The user terminal receives a Level 3 alarm command, a Level 2 alarm command, or a Level 1 alarm command sent by the alarm classification module.

[0028] Furthermore, the personal information includes the staff member's name, mobile phone number, and the monitoring area they are responsible for;

[0029] The carbon emission data includes the name, area, height, building materials, human information, and environmental information of urban buildings. The human information includes the population, number of vehicles, and number of monitoring devices. The environmental information includes the area of ​​green vegetation, water sources, and number of trees around urban buildings.

[0030] Furthermore, the influence coefficient α of the second level of human influence is greater than the influence coefficient α of the first level of human influence, and the optimization coefficient β of the second level of environmental optimization is greater than the optimization coefficient β of the first level of environmental optimization.

[0031] Furthermore, the working process of the environmental monitoring module specifically includes:

[0032] Step S1: Using urban buildings as the center and setting the monitoring radius for environmental monitoring, obtain the environmental monitoring area for urban buildings;

[0033] Step S2: Obtain the green area within the urban building environment monitoring area and mark the green area as LZu; obtain the water source within the urban building environment monitoring area and mark the water source as SYu;

[0034] Step S3: Obtain the total number of trees within the urban building environment monitoring area and mark the total number of trees as SMu;

[0035] Step S4: Using the formula YHu=LZu×b1+SYu×b2+SMu×b3, calculate the environmental optimization value YHu of carbon emissions within the urban building environment monitoring area; where b1, b2 and b3 are fixed proportionality coefficients, and the values ​​of b1, b2 and b3 are all greater than zero.

[0036] Step S5: Compare the environmental optimization value YHu of carbon emissions within the urban building environment monitoring area with the environmental optimization threshold YYHu;

[0037] If YHu < YYHu, then the carbon emissions within the urban building environment monitoring area are at the first level of environmental optimization, and the corresponding optimization coefficient β is obtained.

[0038] If YHu≥YYHu, then the carbon emissions within the urban building environment monitoring area are at the second level of environmental optimization, and the corresponding optimization coefficient β is obtained.

[0039] Furthermore, the regulatory rating module specifically includes the following:

[0040] Step SS1: Obtain the anthropogenic impact value RYu, impact coefficient α, environmental optimization value YHu, and optimization coefficient β of urban buildings calculated above;

[0041] Step SS2: Calculate the regulatory value JGu of urban buildings using the formula JGu=RYu×α+YHu×β;

[0042] Step SS3: If JGu < X1, then the supervision level of the city building is the first supervision level;

[0043] If X1≤JGu<X2, then the regulatory level of urban buildings is the second regulatory level;

[0044] If X2≤JGu, then the regulatory level of urban buildings is the third regulatory level;

[0045] Where X1 and X2 are both regulatory thresholds, and X1 < X2.

[0046] Furthermore, the alarm classification steps of the alarm classification module specifically include:

[0047] Step P1: If the supervision level of the city building is the first supervision level, then generate a first-level alarm command and send the first-level alarm command to the user terminal;

[0048] If the urban building's monitoring level is Level 2, a Level 2 alarm command is generated and sent to the user terminal.

[0049] If the urban building's regulatory level is Level 3, a Level 3 alarm command is generated and sent to the user terminal.

[0050] Step P2: When the user terminal receives a Level 1 alarm command, it displays the words "Level 1 Alarm Command" in standard font and sets the background color to yellow;

[0051] Step P3: When the user terminal receives the Level 2 alarm command, it displays the words "Level 2 Alarm Command" in bold font and sets the background color to orange;

[0052] Step P4: When the user terminal receives the Level 3 alarm command, it displays the words "Level 3 Alarm Command" in bold and italic font, and sets the background color to red.

[0053] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0054] 1. This invention monitors the human factors affecting carbon emissions from urban buildings through a human monitoring module. Based on real-time population, vehicle, and volume values ​​of urban buildings, it obtains the human impact value of carbon emissions. Comparing this human impact value with a human impact threshold yields the human impact level and corresponding impact coefficient for carbon emissions from urban buildings. Simultaneously, an environmental monitoring module monitors the environmental factors affecting carbon emissions from urban buildings. Based on the green area, water sources, and total number of trees within the urban building environmental monitoring area, it calculates the environmental optimization value of carbon emissions within that area. Comparing this environmental optimization value with an environmental optimization threshold yields the environmental optimization level and corresponding optimization coefficient for carbon emissions within the urban building environmental monitoring area. This invention comprehensively considers both human and environmental factors in real-time monitoring of urban building carbon emissions, making the real-time monitoring more accurate and effectively avoiding errors in real-time monitoring of urban building carbon emissions.

[0055] 2. This invention uses a regulatory grading module to regulate and grade the carbon emissions of urban buildings. Based on the anthropogenic impact value, impact coefficient, environmental optimization value, and optimization coefficient of the urban building, a regulatory value is obtained. The regulatory value is then compared with a threshold to determine the regulatory level of the urban building, which is then sent to an alarm grading module. This module classifies the carbon emissions of urban buildings into alarm levels. Based on the carbon emissions of urban buildings, this invention sets corresponding regulatory and alarm levels. Different regulatory levels correspond to different levels of regulatory measures, and different alarm levels correspond to different alarm measures. This makes urban building energy monitoring more scientific and rational, avoiding resource waste. Attached Figure Description

[0056] Figure 1 This is an overall system block diagram of a real-time monitoring system for carbon emissions from urban buildings, as disclosed in one embodiment of the present invention.

[0057] In the diagram, the correspondence between the components and the reference numerals is as follows:

[0058] 1. User terminal, 2. Alarm classification module, 3. Data acquisition module, 4. Human monitoring module, 5. Regulatory classification module, 6. Environmental monitoring module, 7. Server. Detailed Implementation

[0059] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0060] The present invention will now be described in further detail with reference to the accompanying drawings:

[0061] like Figure 1 As shown, a real-time monitoring system for carbon emissions from urban buildings according to the present invention includes: a user terminal 1, an alarm classification module 2, a data acquisition module 3, a human monitoring module 4, a regulatory classification module 5, an environmental monitoring module 6, and a server 7.

[0062] User terminal 1 is used by staff to register and log in to the system after entering personal information and then sending the personal information to server 7 for storage.

[0063] The personal information includes the staff member's name, mobile phone number, and the monitoring area they are responsible for;

[0064] The data acquisition module 3 is used to collect carbon emission data of urban buildings and send the carbon emission data of urban buildings to the server 7;

[0065] The carbon emission data includes the name, area, height, building materials, human information, and environmental information of urban buildings. Human information includes the number of people, vehicles, and monitoring equipment, while environmental information includes the area of ​​green plants, water sources, and trees around urban buildings.

[0066] Server 7 sends the human information in the carbon emission data to the human monitoring module 4, and sends the environmental information in the carbon emission data to the environmental monitoring module 6;

[0067] After receiving human information, the human monitoring module 4 monitors the human factors in urban building carbon emissions. The monitoring process specifically includes:

[0068] Step 1: Label the city buildings as u, u = 1, 2, ..., z, where z is a positive integer;

[0069] Step 2: Obtain the real-time population of city buildings and mark the real-time population as RKu; obtain the real-time vehicle count of city buildings and mark the real-time vehicle count as CLu;

[0070] Step 3: Obtain the height value GDu and the area percentage MJu of the city buildings, and calculate the volume value TJu of the city buildings using the formula TJu=GDu×MJu;

[0071] Step 4: Calculate the anthropogenic impact value RYu of urban building carbon emissions using the formula:

[0072] In the formula, a1, a2 and a3 are all fixed proportionality coefficients, and the values ​​of a1, a2 and a3 are all greater than zero;

[0073] Step 5: Compare the anthropogenic impact value RYu of urban building carbon emissions to the anthropogenic impact threshold YRYu;

[0074] If RYu < YRYu, then the carbon emissions from urban buildings are at the first level of anthropogenic impact, and the corresponding impact coefficient α is obtained.

[0075] If RYu≥YRYu, then the carbon emissions from urban buildings are in the second level of anthropogenic impact, and the corresponding impact coefficient α is obtained;

[0076] It should be specifically noted that the influence coefficient α of the second level of human influence is greater than the influence coefficient α of the first level of human influence.

[0077] The human monitoring module 4 sends the human impact value and impact coefficient of urban building carbon emissions to the server 7 and the regulatory rating module 5;

[0078] After receiving the environmental information from the carbon emission data sent by the server 7, the environmental monitoring module 6 monitors the environmental factors of urban building carbon emissions. The working process of the environmental monitoring module 6 specifically includes:

[0079] Step S1: Using urban buildings as the center and setting the monitoring radius for environmental monitoring, obtain the environmental monitoring area for urban buildings;

[0080] Step S2: Obtain the green area within the urban building environment monitoring area and mark the green area as LZu; obtain the water source within the urban building environment monitoring area and mark the water source as SYu;

[0081] Step S3: Obtain the total number of trees within the urban building environment monitoring area and mark the total number of trees as SMu;

[0082] Step S4: Using the formula YHu=LZu×b1+SYu×b2+SMu×b3, calculate the environmental optimization value YHu of carbon emissions within the urban building environment monitoring area; where b1, b2 and b3 are fixed proportionality coefficients, and the values ​​of b1, b2 and b3 are all greater than zero.

[0083] Step S5: Compare the environmental optimization value YHu of carbon emissions within the urban building environment monitoring area with the environmental optimization threshold YYHu;

[0084] If YHu < YYHu, then the carbon emissions within the urban building environment monitoring area are at the first level of environmental optimization, and the corresponding optimization coefficient β is obtained.

[0085] If YHu≥YYHu, then the carbon emissions within the urban building environment monitoring area are at the second level of environmental optimization, and the corresponding optimization coefficient β is obtained.

[0086] It should be noted that the optimization coefficient for the second level of environmental optimization is greater than that for the first level of environmental optimization.

[0087] Environmental monitoring module 6 sends the environmental optimization value and optimization coefficient to server 7 and regulatory rating module 5;

[0088] After receiving the anthropogenic impact value and environmental optimization value, the regulatory rating module 5 performs regulatory rating on the carbon emissions of urban buildings. The regulatory rating process specifically includes:

[0089] Step SS1: Obtain the anthropogenic impact value RYu, impact coefficient α, environmental optimization value YHu, and optimization coefficient β of urban buildings calculated above;

[0090] Step SS2: Calculate the regulatory value JGu of urban buildings using the formula JGu=RYu×α+YHu×β;

[0091] Step SS3: If JGu < X1, then the supervision level of the city building is the first supervision level;

[0092] If X1≤JGu<X2, then the regulatory level of urban buildings is the second regulatory level;

[0093] If X2≤JGu, then the regulatory level of urban buildings is the third regulatory level;

[0094] Where X1 and X2 are both regulatory thresholds, and X1 < X2.

[0095] The regulatory classification module 5 sends the regulatory level of urban buildings to the server 7, and the server 7 sends the regulatory level of urban buildings to the alarm classification module 2;

[0096] After receiving the regulatory level of urban buildings sent by server 7, alarm classification module 2 classifies the carbon emissions of urban buildings into alarm levels. The alarm classification steps specifically include:

[0097] Step P1: If the supervision level of the city building is the first supervision level, then generate a first-level alarm command and send the first-level alarm command to user terminal 1;

[0098] If the urban building's regulatory level is Level 2, a Level 2 alarm command will be generated and sent to user terminal 1.

[0099] If the urban building's regulatory level is Level 3, a Level 3 alarm command will be generated and sent to user terminal 1.

[0100] Step P2: When user terminal 1 receives the Level 1 alarm command, it displays the words "Level 1 Alarm Command" in standard font and sets the background color to yellow;

[0101] Step P3: When user terminal 1 receives the Level 2 alarm command, it displays the words "Level 2 Alarm Command" in bold font and sets the background color to orange;

[0102] Step P4: When user terminal 1 receives the Level 3 alarm command, it displays the words "Level 3 Alarm Command" in bold and italic font, and sets the background color to red;

[0103] User terminal 1 receives alarm commands of level 3, level 2 or level 1 sent by alarm classification module 2.

[0104] A real-time carbon emission monitoring system for urban buildings, during operation, collects carbon emission data from urban buildings through a data acquisition module 3 and sends the data to a server 7. The server 7 then sends anthropogenic information from the carbon emission data to an anthropogenic monitoring module 4 and an environmental monitoring module 6. Upon receiving the anthropogenic information from the carbon emission data sent by the server 7, the anthropogenic monitoring module 4 monitors the anthropogenic factors affecting urban building carbon emissions, obtaining real-time population (RKu), real-time vehicle (CLu), and volume (TJu) values ​​for urban buildings, and using formulas... The anthropogenic impact value RYu of urban building carbon emissions is calculated. The anthropogenic impact value RYu of urban building carbon emissions is compared with the anthropogenic impact threshold YRYu. If RYu < YRYu, then the urban building carbon emissions are in the first level of anthropogenic impact, and the corresponding impact coefficient α is obtained. If RYu ≥ YRYu, then the urban building carbon emissions are in the second level of anthropogenic impact, and the corresponding impact coefficient α is obtained. The anthropogenic monitoring module 4 sends the anthropogenic impact value and impact coefficient of urban building carbon emissions to the server 7 and the regulatory classification module 5.

[0105] After receiving the carbon emission data sent by the server 7, the environmental monitoring module 6 monitors the environmental factors of carbon emissions from urban buildings. Taking the urban buildings as the center and setting the monitoring radius, the environmental monitoring area of ​​the urban buildings is obtained. The green area LZu, water source SYu, and total number of trees SMu within the environmental monitoring area of ​​the urban buildings are obtained. The environmental optimization value YHu of carbon emissions within the environmental monitoring area of ​​the urban buildings is calculated using the formula YHu=LZu×b1+SYu×b2+SMu×b3. The environmental optimization value YHu of carbon emissions within the environmental monitoring area of ​​the urban buildings is compared with the environmental optimization threshold YYHu. If YHu<YYHu, the carbon emissions within the environmental monitoring area of ​​the urban buildings are at the first level of environmental optimization, and the corresponding optimization coefficient β is obtained. If YHu≥YYHu, the carbon emissions within the environmental monitoring area of ​​the urban buildings are at the second level of environmental optimization, and the corresponding optimization coefficient β is obtained. The environmental monitoring module 6 sends the environmental optimization value and optimization coefficient of carbon emissions within the environmental monitoring area of ​​the urban buildings to the server 7 and the regulatory classification module 5.

[0106] After receiving the human impact value and environmental optimization value, the regulatory grading module 5 performs regulatory grading on the carbon emissions of urban buildings, and obtains the human impact value RYu, impact coefficient α, environmental optimization value YHu, and optimization coefficient β of the urban buildings calculated above. The regulatory value JGu of the urban buildings is calculated by the formula JGu=RYu×α+YHu×β. If JGu<X1, the regulatory level of the urban buildings is the first regulatory level. If X1≤JGu<X2, the regulatory level of the urban buildings is the second regulatory level. If X2≤JGu, the regulatory level of the urban buildings is the third regulatory level. The regulatory grading module 5 sends the regulatory level of the urban buildings to the server 7, and the server 7 sends the regulatory level of the urban buildings to the alarm grading module 2.

[0107] After receiving the regulatory level of urban buildings sent by server 7, alarm classification module 2 classifies the carbon emissions of urban buildings into alarm levels. If the regulatory level of urban buildings is Level 1, a Level 1 alarm command is generated and sent to user terminal 1. If the regulatory level of urban buildings is Level 2, a Level 2 alarm command is generated and sent to user terminal 1. If the regulatory level of urban buildings is Level 3, a Level 3 alarm command is generated and sent to user terminal 1. When user terminal 1 receives a Level 1 alarm command, it displays the words "Level 1 Alarm Command" in standard font with a yellow background. When user terminal 1 receives a Level 2 alarm command, it displays the words "Level 2 Alarm Command" in bold font with an orange background. When user terminal 1 receives a Level 3 alarm command, it displays the words "Level 3 Alarm Command" in bold and italic font with a red background.

[0108] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0109] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A real-time monitoring system for carbon emissions from urban buildings, characterized in that, include: User terminal, alarm classification module, data acquisition module, human monitoring module, regulatory classification module, environmental monitoring module, and server; The user terminal is used by staff to register and log in to the system after entering personal information and then sending the personal information to the server for storage. The data acquisition module is used to collect carbon emission data of urban buildings and send the carbon emission data of urban buildings to the server; The server sends the human information in the carbon emission data to the human monitoring module, and sends the environmental information in the carbon emission data to the environmental monitoring module; After receiving the human information, the human monitoring module monitors the human factors in urban building carbon emissions. The monitoring process specifically includes: Step 1: Label the city buildings as u, u = 1, 2, ..., z, where z is a positive integer; Step 2: Obtain the real-time population of city buildings and mark the real-time population as RKu; obtain the real-time vehicle count of city buildings and mark the real-time vehicle count as CLu; Step 3: Obtain the height value GDu and the area percentage MJu of the city buildings, and calculate the volume value TJu of the city buildings using the formula TJu=GDu×MJu; Step 4: Calculate the anthropogenic impact value RYu of urban building carbon emissions using the formula: In the formula, a1, a2 and a3 are all fixed proportionality coefficients, and the values ​​of a1, a2 and a3 are all greater than zero; Step 5: Compare the anthropogenic impact value RYu of urban building carbon emissions to the anthropogenic impact threshold YRYu; If RYu < YRYu, then the carbon emissions from urban buildings are at the first level of anthropogenic impact, and the corresponding impact coefficient α is obtained. If RYu≥YRYu, then the carbon emissions from urban buildings are in the second level of anthropogenic impact, and the corresponding impact coefficient α is obtained; The human monitoring module sends the human impact value and impact coefficient of urban building carbon emissions to the server and the regulatory classification module. After receiving the environmental information, the environmental monitoring module monitors the environmental factors of urban building carbon emissions and obtains the environmental optimization value YHu and environmental optimization coefficient β of carbon emissions within the urban building environmental monitoring area. The environmental monitoring module sends the environmental optimization value and the optimization coefficient to the server and the regulatory rating module; After receiving the human impact value and the environmental optimization value, the regulatory rating module performs regulatory rating on the carbon emissions of urban buildings to obtain the regulatory level of urban buildings as the first regulatory level, the second regulatory level, or the third regulatory level. The regulatory classification module sends the regulatory level of urban buildings to the server, and the server sends the regulatory level of urban buildings to the alarm classification module; After receiving the regulatory level of urban buildings sent by the server, the alarm classification module classifies the carbon emissions of urban buildings into alarm levels. The alarm classification results in a level 3 alarm command, a level 2 alarm command, or a level 1 alarm command. The alarm classification module then sends the level 3 alarm command, level 2 alarm command, or level 1 alarm command to the user terminal. The user terminal receives a Level 3 alarm command, a Level 2 alarm command, or a Level 1 alarm command sent by the alarm classification module.

2. The real-time monitoring system for urban building carbon emissions according to claim 1, characterized in that, The personal information includes the staff member's name, mobile phone number, and the monitoring area they are responsible for; The carbon emission data includes the name, area, height, building materials, human information, and environmental information of urban buildings. The human information includes the population, number of vehicles, and number of monitoring devices. The environmental information includes the area of ​​green vegetation, water sources, and number of trees around urban buildings.

3. The real-time monitoring system for urban building carbon emissions according to claim 1, characterized in that, The influence coefficient α of the second level of human impact is greater than the influence coefficient α of the first level of human impact, and the optimization coefficient β of the second level of environmental optimization is greater than the optimization coefficient β of the first level of environmental optimization.

4. The real-time monitoring system for urban building carbon emissions according to claim 1, characterized in that, The working process of the environmental monitoring module specifically includes: Step S1: Using urban buildings as the center and setting the monitoring radius for environmental monitoring, obtain the environmental monitoring area for urban buildings; Step S2: Obtain the green area within the urban building environment monitoring area and mark the green area as LZu; obtain the water source within the urban building environment monitoring area and mark the water source as SYu; Step S3: Obtain the total number of trees within the urban building environment monitoring area and mark the total number of trees as SMu; Step S4: Using the formula YHu=LZu×b1+SYu×b2+SMu×b3, calculate the environmental optimization value YHu of carbon emissions within the urban building environment monitoring area; where b1, b2 and b3 are fixed proportionality coefficients, and the values ​​of b1, b2 and b3 are all greater than zero. Step S5: Compare the environmental optimization value YHu of carbon emissions within the urban building environment monitoring area with the environmental optimization threshold YYHu; If YHu < YYHu, then the carbon emissions within the urban building environment monitoring area are at the first level of environmental optimization, and the corresponding optimization coefficient β is obtained. If YHu≥YYHu, then the carbon emissions within the urban building environment monitoring area are at the second level of environmental optimization, and the corresponding optimization coefficient β is obtained.

5. The real-time monitoring system for urban building carbon emissions according to claim 1, characterized in that, The regulatory rating module specifically includes: Step SS1: Obtain the anthropogenic impact value RYu, impact coefficient α, environmental optimization value YHu, and optimization coefficient β of urban buildings calculated above; Step SS2: Calculate the regulatory value JGu of urban buildings using the formula JGu=RYu×α+YHu×β; Step SS3: If JGu < X1, then the supervision level of the city building is the first supervision level; If X1≤JGu<X2, then the regulatory level of urban buildings is the second regulatory level; If X2≤JGu, then the regulatory level of urban buildings is the third regulatory level; Where X1 and X2 are both regulatory thresholds, and X1 < X2.

6. The real-time monitoring system for urban building carbon emissions according to claim 1, characterized in that, The alarm classification steps of the alarm classification module specifically include: Step P1: If the supervision level of the city building is the first supervision level, then generate a first-level alarm command and send the first-level alarm command to the user terminal; If the urban building's monitoring level is Level 2, a Level 2 alarm command is generated and sent to the user terminal. If the urban building's regulatory level is Level 3, a Level 3 alarm command is generated and sent to the user terminal. Step P2: When the user terminal receives a Level 1 alarm command, it displays the words "Level 1 Alarm Command" in standard font and sets the background color to yellow; Step P3: When the user terminal receives the Level 2 alarm command, it displays the words "Level 2 Alarm Command" in bold font and sets the background color to orange; Step P4: When the user terminal receives the Level 3 alarm command, it displays the words "Level 3 Alarm Command" in bold and italic font, and sets the background color to red.

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