Urban low-carbon coordinated control method and system based on multi-source data

Abstract

The present invention discloses a method and system for urban low-carbon coordinated regulation based on multi-source data, which relates to the technical field of low-carbon coordinated regulation. The main scheme is as follows: judging whether the comprehensive carbon emissions of an urban area meet the standards based on the comprehensive carbon emissions, and executing the regulation strategy in the energy field if it does not meet the standards; judging whether the annual runoff control rate of an urban area meets the standards based on the annual runoff control rate, and executing the regulation strategy in the building field if it does not meet the standards; calculating the full life cycle carbon emissions of different types of LID facilities based on the carbon emissions data of the LID facilities; and judging whether the LID facilities in the urban area meet the standards based on the full life cycle carbon emissions, and executing the LID full cycle regulation strategy if it does not meet the standards; after selecting the corresponding regulation strategy, regularly evaluating the effectiveness of the regulation strategy to judge the execution effect of the regulation strategy. This solves the problem of the traditional method with a single data dimension.

Description

Technical Field

[0001] The present invention relates to the technical field of low-carbon coordinated regulation and control, and specifically to a method and system for urban low-carbon coordinated regulation and control based on multi-source data. Background Art

[0002] With the intensification of global climate change and the advancement of the "dual carbon" goals, cities, as the core carriers of carbon emissions, have become a strategic focus of smart city development in terms of low-carbon coordinated regulation technologies. Existing urban low-carbon coordinated regulation methods show promising applications in areas such as energy structure optimization, green building promotion, and ecological infrastructure construction. For example, they can reduce industrial energy consumption through smart grids and optimize building energy efficiency using BIM technology.

[0003] However, urban carbon emissions are strongly coupled in energy consumption, building drainage, and ecological facility operation and maintenance, and emission reduction in a single area is difficult to achieve system optimization.

[0004] Therefore, there is an urgent need to build a cross-domain coordinated control system driven by multi-source data to solve the governance dilemma of "reducing and increasing" carbon emissions. Summary of the Invention

[0005] (1) Technical problems solved

[0006] In response to the shortcomings of the existing technology, the present invention provides an urban low-carbon coordinated regulation method based on multi-source data, which at least solves the problem in the existing technology of single evaluation method, lack of comprehensive evaluation, and poor regulation ability.

[0007] (2) Technical solution

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: a method for urban low-carbon coordinated regulation based on multi-source data, comprising:

[0009] Step 1: Obtain energy consumption data, analyze the energy consumption data to obtain the comprehensive carbon emissions in the urban area, and determine whether the comprehensive carbon emissions in the urban area meet the standards based on the comprehensive carbon emissions. If it does not meet the standards, implement energy regulation strategies;

[0010] Step 2: Obtain meteorological data and calculate the annual runoff control rate based on the meteorological data. Then, determine whether the annual runoff control rate of the urban area meets the standard based on the annual runoff control rate. If it does not meet the standard, implement the control strategy in the building area.

[0011] Step 3: Obtain carbon emission data for LID facilities and calculate the lifecycle carbon emissions of different types of LID facilities based on the carbon emission data. Determine whether the LID facilities in the urban area meet the standards based on the lifecycle carbon emissions. If they do not meet the standards, implement the LID full-cycle control strategy.

[0012] Step 4: After selecting the corresponding control strategy based on the judgment results of steps 1 to 3, regularly evaluate the effectiveness of the control strategy to determine the implementation effect of the control strategy.

[0013] In the preferred embodiment of the urban low-carbon coordinated control method based on multi-source data, the comprehensive carbon emissions within the urban area are calculated based on energy consumption data according to the following formula:

[0014]

[0015] Where: ZH represents comprehensive carbon emissions; E i represents the total consumption of the i-th energy; EF i represents the carbon emission factor of the i-th energy source; V j represents the energy consumption of the jth type of vehicle; EC j represents the carbon emission factor of the energy consumed by the jth type of transportation; EQ k，i represents the consumption of energy type i by the K-th enterprise; i represents the sequence number of energy type; n is the total number of energy types; EC j represents the carbon emission factor of the type of energy consumed by the jth category of transportation; α1 represents the weight coefficient of the total energy consumption; j represents the serial number of the transportation power category, and m represents the total number of transportation power categories; α2 represents the weight coefficient of the energy consumption of the transportation tool; and α3 represents the weight coefficient of the energy consumption of the enterprise.

[0016] In the preferred embodiment of the urban low-carbon coordinated regulation method based on multi-source data, the method for judging whether the comprehensive carbon emissions of an urban area meet the standards based on the comprehensive carbon emissions is as follows: setting a comprehensive carbon emissions standard threshold, comparing the comprehensive carbon emissions with the comprehensive carbon emissions standard threshold; when the comprehensive carbon emissions are ≥ the comprehensive carbon emissions standard threshold, it is judged that the comprehensive carbon emissions of the urban area do not meet the standards; when the comprehensive carbon emissions are < the comprehensive carbon emissions standard threshold, it is judged that the comprehensive carbon emissions of the urban area meet the standards;

[0017] When the comprehensive carbon emissions do not meet the standards, the energy sector regulatory strategy will be implemented; specifically:

[0018] Adjust the proportion of different energy structures, increase the proportion of renewable energy and reduce the proportion of non-renewable energy;

[0019] Calculate the carbon emissions of different enterprises and compile a ranking of their carbon emissions. Select enterprises that are at the top of the carbon emissions ranking, implement real-time monitoring of their energy consumption, achieve dynamic supervision of carbon emissions, and identify equipment in enterprises that do not meet emission standards.

[0020] In the preferred embodiment of the urban low-carbon coordinated regulation method based on multi-source data, the annual runoff control rate is calculated based on meteorological data according to the following formula:

[0021]

[0022] Among them, KZ represents the annual runoff control rate; VRa y VRn represents the rainfall in the yth return period; y represents the runoff volume in the yth return period; P y represents the time period of the yth return period; y represents the sequence number of the return period, L represents the number of return periods; S represents the total area of ​​the urban area; h y represents the rainfall intensity in the yth return period.

[0023] In the preferred embodiment of the urban low-carbon coordinated regulation method based on multi-source data, the method for judging whether the annual runoff control rate of an urban area meets the standard is as follows: setting a standard threshold for the runoff control rate, comparing the annual runoff control rate with the standard threshold for the runoff control rate; when the annual runoff control rate is less than the standard threshold for the runoff control rate, it is judged that the runoff control rate of the urban area does not meet the standard; when the annual runoff control rate is greater than or equal to the standard threshold for the runoff control rate, it is judged that the runoff control rate of the urban area meets the standard;

[0024] When the runoff control rate does not meet the standard, the building area regulation strategy is implemented; specifically:

[0025] The urban area is divided into several sub-areas using a grid division method. The installation ratio of LID facilities is counted and a LID ratio threshold is set. The installation ratio of LID facilities in each area is compared with the LID ratio threshold. If the LID ratio is lower than the LID ratio threshold, the corresponding LID facilities are added in this area.

[0026] The greening rate of each sub-area is counted, and a greening rate threshold is set. The greening rate and proportion of each area are compared with the greening rate threshold. If it is lower than the greening rate threshold, the green area in the area is increased.

[0027] In the preferred embodiment of the urban low-carbon coordinated regulation method based on multi-source data, the life cycle carbon emissions are calculated based on the carbon emissions data of LID facilities, and the formula is as follows:

[0028]

[0029] Among them, ZQP represents the carbon emissions of the LID facility throughout its life cycle; cs g represents the emissions of the g-type LID facility during the construction phase; grepresents the emissions of the g-type LID facility during the operation and maintenance phase; ds g represents the emission of the g-type LID facility during the disassembly phase; g represents the category number of the LID facility, and A represents the total number of LID facility categories; ef g represents the total carbon emissions of the zth type of pollutant after treatment by the gth type of LID facility; em z represents the carbon emission factor of the zth type of pollutant; z represents the serial number of the pollutant category, and B represents the total number of pollutant categories.

[0030] In the preferred embodiment of the urban low-carbon coordinated regulation method based on multi-source data, the method for judging whether the LID facilities in the urban area meet the standards based on the carbon emissions over the entire life cycle is as follows:

[0031] Set a full life cycle carbon emission threshold and compare the full life cycle carbon emissions with the full life cycle carbon emission threshold. When the full life cycle carbon emissions ≥ the full life cycle carbon emission threshold, it is determined that the comprehensive carbon emissions of the LID facilities in the urban area do not meet the standards. When the full life cycle carbon emissions are less than the full life cycle carbon emission threshold, it is determined that the carbon emissions of the LID facilities in the urban area meet the standards.

[0032] When the full life cycle carbon emissions do not meet the standards, the LID full-cycle control strategy needs to be implemented, specifically:

[0033] During the construction phase, recycled aggregate was used instead of traditional concrete, and prefabricated modular bioretention facilities were employed;

[0034] During the operation and maintenance phase, IoT sensors are installed to monitor the operating status of facilities in real time, reducing the number of maintenance operations. LID facilities are equipped with renewable energy power supply devices.

[0035] During the demolition phase: LID facilities in the demolition phase are recycled and reused.

[0036] In the preferred embodiment of the multi-source data-based urban low-carbon coordinated regulation method, after the energy sector regulation strategy is implemented, the renewable energy consumption ratio, new energy vehicle ownership ratio, and transportation carbon emissions before and after the policy implementation are regularly obtained to calculate the comprehensive change rate of all parameters. The formula is as follows:

[0037]

[0038] Among them, BHL represents the comprehensive change rate before and after the energy regulation strategy; NYQ represents the proportion of renewable energy before the regulation strategy; NYH represents the proportion of renewable energy after the regulation strategy; BYQ represents the proportion of new energy vehicles before the regulation strategy; BYH represents the proportion of new energy vehicles after the regulation strategy; JTQ represents the carbon emissions from transportation before the regulation strategy; JTH represents the carbon emissions from transportation after the regulation strategy;

[0039] After implementing the control strategy in the building sector, regularly obtain the LID facility coverage rate, pipe section overload rate, and green coverage rate before and after the policy implementation, and calculate the comprehensive change rate of all parameters. The formula is as follows:

[0040]

[0041] Among them, BHR represents the comprehensive change rate before and after the regulation strategy in the building sector; DFQ represents the LID facility coverage rate before the regulation strategy; DFH represents the LID facility coverage rate after the regulation strategy; GDQ represents the pipeline overload rate before the regulation strategy; GDH represents the pipeline overload rate after the regulation strategy; LHQ represents the green coverage rate before the regulation strategy; LHH represents the green coverage rate after the regulation strategy;

[0042] After the LID full-cycle control strategy is implemented, the recycled material substitution rate, renewable energy self-sufficiency rate, and waste recycling rate before and after the policy implementation are regularly obtained to calculate the comprehensive change rate of all parameters. The formula is as follows:

[0043]

[0044] Among them, BHR represents the comprehensive change rate before and after the LID full-cycle regulation strategy; TDQ represents the recycled material substitution rate before the regulation strategy; TDH represents the recycled material substitution rate after the regulation strategy; ZJQ represents the renewable energy self-sufficiency rate before the regulation strategy, ZJH represents the renewable energy self-sufficiency rate after the regulation strategy; HSQ represents the waste recycling rate before the regulation strategy, and HSH represents the waste recycling rate after the regulation strategy.

[0045] In the preferred embodiment of the urban low-carbon coordinated control method based on multi-source data, the method for judging the execution effect of the control strategy is:

[0046] Set execution evaluation threshold interval 1, execution evaluation threshold interval 2, and execution evaluation threshold interval 3; compare comprehensive change rate 1, comprehensive change rate 2, and comprehensive change rate 3 with evaluation threshold interval 1, execution evaluation threshold interval 2, and execution evaluation threshold interval 3, respectively, to determine the execution effects of different adjustment strategies; specifically:

[0047] When the comprehensive change rate 1 is consistent with the value range of the evaluation threshold interval 1, it indicates that the regulation strategy in the energy field is effective. When the comprehensive change rate 1 is lower than the lowest value of the value range of the evaluation threshold interval 1, it indicates that the regulation strategy in the energy field is effective. When the comprehensive change rate 1 exceeds the highest value of the value range of the evaluation threshold interval 1, it indicates that the regulation strategy in the energy field is effective.

[0048] When the comprehensive change rate 2 is consistent with the value range of the evaluation threshold interval 2, it indicates that the regulation and control strategy in the construction field is effective. When the comprehensive change rate 2 is lower than the lowest value of the value range of the evaluation threshold interval 2, it indicates that the regulation and control strategy in the construction field is poor. When the comprehensive change rate 2 exceeds the highest value of the value range of the evaluation threshold interval 2, it indicates that the regulation and control strategy in the construction field is excellent.

[0049] When the comprehensive change rate three is consistent with the value range of the evaluation threshold interval three, it indicates that the LID full-cycle control strategy is effective. When the comprehensive change rate three is lower than the lowest value of the value range of the evaluation threshold interval three, it indicates that the LID full-cycle control strategy is effective. When the comprehensive change rate three exceeds the highest value of the value range of the evaluation threshold interval three, it indicates that the LID full-cycle control strategy is effective.

[0050] (3) Beneficial effects

[0051] The present invention provides a method for coordinated urban low-carbon regulation based on multi-source data, which has the following beneficial effects:

[0052] (1) By integrating multi-source heterogeneous data such as energy consumption data (industry, transportation, construction, etc.), meteorological data, and LID facility life cycle data, a three-dimensional monitoring network for urban carbon emissions in the energy-building-ecological facility field was constructed. This technical point solves the problem of the single data dimension of traditional methods, allowing carbon emission assessment to cover direct emissions (energy consumption) and indirect emissions (facility construction and maintenance), significantly improving the granularity and comprehensiveness of urban carbon emission monitoring.

[0053] (2) By setting three judgment criteria: comprehensive carbon emissions, runoff control rate, and life cycle carbon emissions, a multi-threshold-triggered collaborative control mechanism was established. This technology breaks through the limitations of traditional single-domain control and achieves dynamic coordination among energy optimization, building drainage system renovation, and LID facility upgrades.

[0054] (3) By constructing a carbon emission model for LID facilities covering the material production, construction, operation and maintenance, and demolition stages, the net carbon benefits of facilities such as permeable pavement and bioretention ponds were quantified; for the first time, life cycle assessment was combined with low-carbon city regulation, solving the problem of the difficulty in tracing the hidden carbon emissions of facilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 Schematic diagram of the steps of the urban low-carbon coordinated control method based on multi-source data of the present invention. DETAILED DESCRIPTION

[0056] The following will provide a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0057] Example 1

[0058] See also Figure 1 The present invention provides a method for urban low-carbon coordinated regulation based on multi-source data, comprising:

[0059] Step 1: Obtain energy consumption data, analyze the energy consumption data to obtain the comprehensive carbon emissions in the urban area, and determine whether the comprehensive carbon emissions in the urban area meet the standards based on the comprehensive carbon emissions. If it does not meet the standards, implement the energy field regulation strategy.

[0060] Step 101: Obtain the total amount of different energy consumption during the assessment period through the energy supply department, energy supplier and enterprise energy management system. The different energy types include at least natural gas, coal, oil and renewable energy (such as solar energy, wind energy, etc.).

[0061] Step 102: Obtain energy consumption data for different types of transportation vehicles through transportation management departments, industry associations and research institutions, energy supply companies, and transportation operation-related companies. Different types of transportation vehicles include at least private cars using different fuel types, taxis, buses, freight trucks, subways, trains, etc.

[0062] Step 103: Obtain the energy consumption of different enterprises through the enterprise energy management system; wherein, the energy consumption of different enterprises needs to calculate all types of energy consumed by the enterprises, for example, coal, natural gas, electricity, etc. consumed by the enterprises.

[0063] It should be noted that the above data needs to be normalized and preprocessed to eliminate the dimension before the subsequent calculation steps.

[0064] In steps 101-103, a multi-source data collection network covering the energy supply department, transportation management department and enterprise energy management system is constructed to achieve full dimensional coverage of energy consumption data. Normalization pre-processing (such as converting different energy units into standard coal equivalent or carbon emission equivalent) is used to eliminate dimensional differences and ensure the scientific nature and comparability of subsequent calculations. This can solve the problem that the unified carbon emission assessment method relies on a single data source (such as only counting industrial energy consumption), resulting in data dimension fragmentation and inconsistent dimensions. For example, gasoline consumption in the transportation sector (unit: liter) and electricity consumption of enterprises (unit: kilowatt-hour) cannot be directly superimposed, resulting in deviations in the calculation of total carbon emissions. In addition, data is scattered across energy supply departments, transportation management departments and internal enterprise systems, making it difficult to achieve cross-departmental data integration, resulting in one-sided assessment results.

[0065] Step 104: Calculate the comprehensive carbon emissions within the urban area based on the consumption of different energy sources, the energy consumption of different types of transportation, and the energy consumption of different enterprises. The formula is as follows:

[0066]

[0067] Where: ZH represents comprehensive carbon emissions; E i represents the total consumption of the i-th energy; EF i represents the carbon emission factor of the i-th energy source; V j represents the energy consumption of the jth type of vehicle; EC j represents the carbon emission factor of the energy consumed by the jth type of transportation; EQ k，i represents the consumption of energy type i by the i-th energy consumption of the K-th enterprise; i represents the serial number of the energy type; n is the total number of energy types, which is a positive integer; EC j It represents the carbon emission factor of the type of energy consumed by the jth type of transportation vehicle; j represents the serial number of the transportation power category, m represents the total number of transportation power categories, and the value is a positive integer; α1 represents the weight coefficient of the total energy consumption; α2 represents the weight coefficient of the energy consumption of the transportation vehicle; α3 represents the weight coefficient of the energy consumption of the enterprise.

[0068] In this step, a weighted calculation model based on weight coefficients is designed to dynamically adjust the contribution ratios of total energy consumption, vehicle emissions, and corporate emissions. Weight coefficients can be differentiated based on the city's development stage (e.g., industry-dominated or service-dominated). This addresses the problem that existing carbon emission calculation models often use a simple addition method (e.g., total carbon emissions = industrial emissions + transportation emissions), which ignores the differences in carbon emission contributions from different sectors.

[0069] It should be noted that EF i and EC jIt can be obtained based on the carbon emission factor standards issued by the national or local governments.

[0070] Step 105: Set a comprehensive carbon emissions standard threshold, compare the comprehensive carbon emissions with the comprehensive carbon emissions standard threshold, and when the comprehensive carbon emissions ≥ the comprehensive carbon emissions standard threshold, it is determined that the comprehensive carbon emissions of the urban area do not meet the standards; when the comprehensive carbon emissions < the comprehensive carbon emissions standard threshold, it is determined that the comprehensive carbon emissions of the urban area meet the standards.

[0071] It should be noted that the comprehensive carbon emission standard threshold can be adjusted in real time according to the specific regulations of relevant urban departments, such as the corresponding standards for comprehensive carbon emissions in different historical time periods.

[0072] Step 106: When the comprehensive carbon emissions do not meet the standards, the energy sector regulation strategy is implemented; specifically:

[0073] Adjust the proportion of different energy structures, increase the proportion of renewable energy and reduce the proportion of non-renewable energy;

[0074] Calculate the carbon emissions of different enterprises and compile a ranking of their carbon emissions. Select enterprises at the top of the carbon emissions ranking, such as the TOP10% high-emission enterprises. Implement real-time monitoring of their energy consumption, achieve dynamic supervision of carbon emissions, and identify equipment in enterprises that do not meet emission standards.

[0075] Count the proportion of cars using different fuel types, promote new energy vehicles, and increase the proportion of new energy vehicles in use.

[0076] In this step, the baseline emissions can be directly reduced by increasing the proportion of renewable energy (such as increasing the proportion of solar power generation from 10% to 25%); based on the carbon emission ranking table, real-time monitoring of the TOP10% high-emission enterprises can be implemented (such as installing smart meters and online carbon emission monitoring equipment), and inefficient equipment can be identified (such as eliminating coal-fired boilers and replacing them with waste heat recovery systems) to achieve "one enterprise, one policy" emission reduction; by counting the proportion of fuel vehicles and formulating new energy vehicle subsidy policies (such as increasing the coverage rate of charging piles to 90%), the electrification rate of private cars can be promoted; this can solve the problem of extensive traditional energy regulation strategies.

[0077] This solution systematically solves problems such as data fragmentation, one-sided evaluation, and lagging regulation in traditional methods through multi-source data integration, dynamic weight models, elastic threshold judgment, and precise strategy execution.

[0078] Step 2: Obtain meteorological data, calculate the annual runoff control rate based on the meteorological data, and judge whether the annual runoff control rate of the urban area meets the standard based on the annual runoff control rate. If it does not meet the standard, implement the regulation strategy in the building field.

[0079] Step 201: Obtain meteorological data from the meteorological department or urban planning department, including at least the on-site rainfall at different rainfall return periods, the runoff generated by the installation of LID facilities at different rainfall return periods, the rainfall intensity at different rainfall return periods, and the urban area.

[0080] It should be noted that the above data needs to be normalized and preprocessed to eliminate the dimension before the subsequent calculation steps.

[0081] Step 202: Calculate the annual runoff control rate using meteorological data. The calculation formula is as follows:

[0082]

[0083] Among them, KZ represents the annual runoff control rate; VRa y VRn represents the rainfall in the yth return period; y represents the runoff volume in the yth return period; P y represents the time period of the yth return period; y represents the sequence number of the return period, L represents the number of return periods, and is a positive integer. Here, it can also be 3, corresponding to a return period of 1 year, a return period of 3 years, and a return period of 5 years; S represents the total area of ​​the urban area; h y represents the rainfall intensity in the yth return period.

[0084] By comprehensively analyzing meteorological data and calculating the annual runoff control rate, the effectiveness of runoff control in urban areas can be more accurately assessed. This method considers not only rainfall and runoff volume, but also factors such as rainfall intensity and urban area. This makes the assessment results more consistent with actual precipitation conditions, improving the scientific nature and accuracy of the assessment. It also addresses the problem that existing assessment methods may fail to fully utilize meteorological data, resulting in inaccurate calculations of the annual runoff control rate and difficulty in accurately reflecting the effectiveness of runoff control in urban areas.

[0085] Step 203: Set a standard threshold for the runoff control rate, and compare the annual runoff control rate with the standard threshold for the runoff control rate. When the annual runoff control rate is less than the standard threshold for the runoff control rate, it is determined that the runoff control rate of the urban area does not meet the standard. When the annual runoff control rate is greater than or equal to the standard threshold for the runoff control rate, it is determined that the runoff control rate of the urban area meets the standard.

[0086] It should be noted that the annual runoff control rate can be adjusted in real time according to the specific regulations of relevant urban departments, such as the corresponding standards for the annual runoff control rate in different historical time periods.

[0087] Step 204: When the runoff control rate does not meet the standard, the building field control strategy is executed; specifically:

[0088] The urban area is divided into several sub-areas using a grid division method. The installation ratio of LID facilities is counted and a LID ratio threshold is set. The installation ratio of LID facilities in each area is compared with the LID ratio threshold. If the ratio is lower than the LID ratio threshold, corresponding LID facilities are added to this area to improve the infiltration and retention capacity of rainwater and reduce surface runoff. For example, permeable paving materials are used on urban roads and sidewalks to increase the infiltration capacity of rainwater; green roofs and rain gardens are promoted in new residential and commercial areas to retain and purify rainwater.

[0089] The greening rate of each sub-area is calculated, and a greening rate threshold is set. The greening rate and proportion of each area are compared with the greening rate threshold. If it is lower than the greening rate threshold, the green space area in the area, such as parks and green belts, is increased. These green spaces can absorb and retain rainwater and reduce runoff.

[0090] Rainwater collection systems can also be implemented to collect rainwater for non-drinking purposes such as irrigation and flushing toilets. Education and publicity activities can be used to raise residents' awareness of water conservation and reduce water waste. Relevant policies and regulations can be formulated to encourage and regulate the construction and maintenance of LID facilities.

[0091] By implementing regulatory strategies in the building sector, such as increasing LID facilities, increasing greenery, and implementing rainwater harvesting systems, we can improve the infiltration and retention of rainwater and reduce surface runoff. For example, permeable paving materials can be used on urban roads and sidewalks to increase rainwater infiltration; and green roofs and rain gardens can be promoted in new residential and commercial areas to retain and purify rainwater. These measures can help improve runoff control in urban areas, reduce the risk of flooding, and address the problem that existing regulatory strategies may lack specificity and systematicness, making them ineffective in improving infiltration and retention and reducing surface runoff.

[0092] Step 3: Obtain the carbon emission data of LID facilities, and calculate the full life cycle carbon emissions of different types of LID facilities based on the carbon emission data of LID facilities; and determine whether the LID facilities in the urban area meet the standards based on the full life cycle carbon emissions. If they do not meet the standards, implement the LID full cycle control strategy.

[0093] Step 301: Obtain carbon emission data of different types of LID facilities through the environmental monitoring department, including at least: carbon emissions of different LID facilities during the construction phase, carbon emissions during the operation and maintenance phase, carbon emissions during the facility disassembly phase, carbon emissions of different pollutants after treatment by the LID facilities, and carbon emission factors of different pollutants.

[0094] It should be noted that the above data needs to be normalized and preprocessed to eliminate the dimension before the subsequent calculation steps.

[0095] Step 302: Calculate the life cycle carbon emissions using the carbon emissions data of the LID facility, using the following formula:

[0096]

[0097] Among them, ZQP represents the carbon emissions of the LID facility throughout its life cycle; cs g represents the emissions of the g-type LID facility during the construction phase; g represents the emissions of the g-type LID facility during the operation and maintenance phase; ds g Indicates the emission of the g-th type LID facility during the disassembly phase; g represents the category number of the LID facility, A represents the total number of LID facility categories, and can be a positive integer; ef g represents the total carbon emissions of the zth type of pollutant after treatment by the gth type of LID facility; em z It represents the carbon emission factor of the zth type of pollutant; z represents the serial number of the pollutant category, B represents the total number of pollutant categories, and the value is a positive integer.

[0098] It should be noted that the pollutant categories include common pollutants in water, such as total suspended solids, total nitrogen, total phosphorus and heavy metals.

[0099] By comprehensively calculating the carbon emissions of LID facilities throughout their lifecycle, we can more accurately assess their environmental benefits, providing a scientific basis for urban planning and environmental management. This approach helps identify facilities and phases with high carbon emissions, thereby providing targeted improvement measures to reduce carbon emissions. This addresses the problem that existing assessment methods may fail to fully consider the carbon emissions of LID facilities at different lifecycle stages, resulting in inaccurate assessments of their environmental benefits.

[0100] Step 303: Set a full life cycle carbon emission threshold, compare the full life cycle carbon emissions with the full life cycle carbon emission threshold, when the full life cycle carbon emissions ≥ the full life cycle carbon emission threshold, it is determined that the comprehensive carbon emissions of the LID facilities in the urban area do not meet the standards; when the full life cycle carbon emissions < the full life cycle carbon emission threshold, it is determined that the carbon emissions of the LID facilities in the urban area meet the standards.

[0101] By setting a lifecycle carbon emissions threshold, we can provide clear standards for carbon emission control in urban areas and promote the transformation of cities towards low-carbon development. This will help urban planning and management departments pay more attention to carbon emissions and promote the implementation of low-carbon technologies and policies.

[0102] Step 304: When the full life cycle carbon emissions do not meet the standards, the LID full-cycle control strategy needs to be implemented, specifically:

[0103] During the construction phase, the use of recycled aggregates instead of traditional concrete can reduce carbon emissions from permeable pavement; the use of prefabricated modular bioretention facilities can reduce the energy consumption of on-site construction machinery.

[0104] During the operation and maintenance phase, IoT sensors are installed to monitor the operating status of facilities in real time, reducing the proportion of unnecessary maintenance. LID facilities are equipped with renewable energy power supply devices, such as solar street lights or micro photovoltaic systems, to reduce the dependence of LID facilities on the power grid.

[0105] During the dismantling stage: Recycle and reuse LID facilities during the dismantling stage to reduce carbon emissions during waste disposal.

[0106] It should be noted that prefabricated modular bioretention facilities refer to functional components of bioretention facilities (such as plant planting layers, filter media layers, water storage layers, etc.) that are pre-manufactured in the factory to form standardized modules, which are then transported to the site for rapid assembly.

[0107] This step, by implementing a full-cycle LID control strategy, can significantly reduce the carbon emissions of LID facilities and improve their environmental benefits. For example, using recycled aggregates and prefabricated modular facilities can reduce carbon emissions during the construction phase; installing IoT sensors and supporting renewable energy power supply devices can reduce energy consumption and carbon emissions during the operation and maintenance phase; and recycling and reusing facilities during the disassembly phase can reduce carbon emissions during waste disposal. This addresses the problem that existing control strategies may lack specificity and systematicness, making it difficult to effectively reduce carbon emissions from LID facilities.

[0108] Step 4: After selecting the corresponding control strategy based on the judgment results of steps 1 to 3, regularly evaluate the effectiveness of the control strategy to determine the implementation effect of the control strategy.

[0109] Step 401: After implementing the energy regulation strategy, regularly obtain the renewable energy consumption ratio, new energy vehicle ownership ratio, and transportation carbon emissions before and after the policy implementation, and calculate the comprehensive change rate of all parameters. The formula is as follows:

[0110]

[0111] Among them, BHL represents the comprehensive change rate before and after the energy regulation strategy; NYQ represents the proportion of renewable energy before the regulation strategy; NYH represents the proportion of renewable energy after the regulation strategy; BYQ represents the proportion of new energy vehicles before the regulation strategy, BYH represents the proportion of new energy vehicles after the regulation strategy, JTQ represents transportation carbon emissions before the regulation strategy, and JTH represents transportation carbon emissions after the regulation strategy.

[0112] It should be noted that the calculation method for the proportion of renewable energy is: renewable energy consumption ratio = (renewable energy consumption / total energy consumption) × 100%. The consumption data of renewable energy (such as solar energy, wind energy, hydropower, etc.) and total energy consumption can be obtained from the energy statistics department; the calculation method for the proportion of new energy vehicle ownership is: new energy vehicle ownership ratio = (number of new energy vehicles / total number of vehicles) × 100%, which can be obtained through the annual statistical report released by the transportation management department; the calculation method for transportation carbon emissions is: transportation carbon emissions = Σ(fuel consumption of different types of vehicles × corresponding carbon emission factor), which can be obtained by integrating the energy consumption statistics of the transportation department, the operation data of logistics companies, or through data acquisition methods such as on-board OBD equipment.

[0113] Integrate the proportion of renewable energy, the number of new energy vehicles and transportation carbon emissions to quantify the synergistic effect of energy structure optimization and transportation emission reduction.

[0114] It should be noted that after obtaining the above data, the data are first normalized and preprocessed to eliminate the dimensions of different parameters before formula calculations are performed.

[0115] Step 402: After implementing the control strategy for the building sector, regularly obtain the LID facility coverage rate, pipe section overload rate, and green coverage rate before and after the policy implementation, and calculate the comprehensive change rate of all parameters. The formula is as follows:

[0116]

[0117] Among them, BHR represents the comprehensive change rate before and after the regulation strategy in the building field; DFQ represents the LID facility coverage rate before the regulation strategy; DFH represents the LID facility coverage rate after the regulation strategy; GDQ represents the pipeline overload rate before the regulation strategy, GDH represents the pipeline overload rate after the regulation strategy, LHQ represents the green coverage rate before the regulation strategy, and LHH represents the green coverage rate after the regulation strategy.

[0118] It should be noted that the calculation method of LID facility coverage rate is: LID facility coverage rate = (LID facility area / total area of ​​urban area) × 100%. The corresponding data can be obtained by obtaining LID facility planning maps and distribution maps from the urban planning department; the calculation method of pipeline overload rate is: pipeline overload rate = (actual flow - design flow) / design flow, calculate the overload rate of all pipelines and take the average as the actual pipeline overload rate. The corresponding data can be obtained through monitoring or model simulation during heavy rain to obtain the instantaneous flow of pipelines, and the design flow can be obtained through drainage network design specifications; the calculation method of green coverage rate is: green coverage rate = (vertical projection area of ​​vegetation / total area of ​​the region) × 100%. The corresponding data can be obtained by combining the green space census data of the urban gardening department.

[0119] The LID facility coverage rate, pipe network overload rate and green coverage rate were correlated to reveal the causal relationship between facility construction and drainage performance.

[0120] It should be noted that after obtaining the above data, the data are first normalized and preprocessed to eliminate the dimensions of different parameters before formula calculations are performed.

[0121] Step 403: After the LID full-cycle control strategy is implemented, the renewable material substitution rate, renewable energy self-sufficiency rate, and waste recycling rate before and after the policy implementation are regularly obtained, and the comprehensive change rate of all parameters is calculated. The formula is as follows:

[0122]

[0123] Among them, BHR represents the comprehensive change rate before and after the LID full-cycle regulation strategy; TDQ represents the recycled material substitution rate before the regulation strategy; TDH represents the recycled material substitution rate after the regulation strategy; ZJQ represents the renewable energy self-sufficiency rate before the regulation strategy, ZJH represents the renewable energy self-sufficiency rate after the regulation strategy; HSQ represents the waste recycling rate before the regulation strategy, and HSH represents the waste recycling rate after the regulation strategy.

[0124] It should be noted that the calculation method of the recycled material substitution rate is: Recycled material substitution rate = (recycled material usage / total usage of similar materials) × 100%; it can be obtained by obtaining recycled material (such as recycled aggregates, recycled plastics) procurement data from construction and manufacturing companies, and performing statistical calculations; the calculation method of the renewable energy self-sufficiency rate is: Renewable energy self-sufficiency rate = (number of self-sufficient LID facilities / total number of LID facilities) × 100%; the corresponding data can be obtained through LID facility planning maps and statistics on the energy consumption of LID facilities.

[0125] By setting a lifecycle carbon emission threshold, a clear standard can be provided for carbon emission control in urban areas, promoting the transformation of cities towards low-carbon development. This will help urban planning and management departments pay more attention to carbon emissions and promote the implementation of low-carbon technologies and policies. Introducing recycled material substitution rate, renewable energy self-sufficiency rate, and waste recycling rate, covering the entire chain of "material production-facility operation-dismantling and recycling", and implementing a full-cycle LID control strategy, the carbon emissions of LID facilities can be significantly reduced and their environmental benefits improved. For example, the use of recycled aggregates and prefabricated modular facilities can reduce carbon emissions during the construction phase; the installation of IoT sensors and supporting renewable energy power supply devices can reduce energy consumption and carbon emissions during the operation and maintenance phase; and the recycling and reuse of facilities during the dismantling phase can reduce carbon emissions during the waste treatment process.

[0126] It should be noted that after obtaining the above data, the data are first normalized and preprocessed to eliminate the dimensions of different parameters before formula calculations are performed.

[0127] Step 404: Set execution evaluation threshold interval 1, execution evaluation threshold interval 2, and execution evaluation threshold interval 3; compare comprehensive change rate 1, comprehensive change rate 2, and comprehensive change rate 3 with evaluation threshold interval 1, execution evaluation threshold interval 2, and execution evaluation threshold interval 3, respectively, to determine the execution effects of different adjustment strategies; specifically:

[0128] When the comprehensive change rate 1 is consistent with the value range of the evaluation threshold interval 1, it indicates that the regulation strategy in the energy field is effective. When the comprehensive change rate 1 is lower than the lowest value of the value range of the evaluation threshold interval 1, it indicates that the regulation strategy in the energy field is effective. When the comprehensive change rate 1 exceeds the highest value of the value range of the evaluation threshold interval 1, it indicates that the regulation strategy in the energy field is effective.

[0129] When the comprehensive change rate 2 is consistent with the value range of the evaluation threshold interval 2, it indicates that the regulation and control strategy in the construction field is effective. When the comprehensive change rate 2 is lower than the lowest value of the value range of the evaluation threshold interval 2, it indicates that the regulation and control strategy in the construction field is poor. When the comprehensive change rate 2 exceeds the highest value of the value range of the evaluation threshold interval 2, it indicates that the regulation and control strategy in the construction field is excellent.

[0130] When the comprehensive change rate three is consistent with the value range of the evaluation threshold interval three, it indicates that the LID full-cycle control strategy is effective. When the comprehensive change rate three is lower than the lowest value of the value range of the evaluation threshold interval three, it indicates that the LID full-cycle control strategy is effective. When the comprehensive change rate three exceeds the highest value of the value range of the evaluation threshold interval three, it indicates that the LID full-cycle control strategy is effective.

[0131] It should be noted that the value ranges of the execution assessment threshold interval one, the execution assessment threshold interval two, and the execution assessment threshold interval three can be adjusted according to actual conditions. For example, after calculating through historical data, the natural growth rate of each indicator and the passive growth rate after the implementation of relevant policies in previous years are calculated. Then, when setting the threshold interval, the lowest value must be higher than the natural growth rate, and the specific value can refer to the passive growth rate. For example, if the natural growth rate is 1% and the passive growth rate is 3%, the lowest value of the threshold interval must be greater than 1%, and the highest value is selected to be close to the passive growth rate, such as 2%-4%. Here, the execution assessment threshold interval one is set to 5%-15%; the execution assessment threshold interval two is set to 3%-10%; and the execution assessment threshold interval three is set to 8%-20%.

[0132] Regularly evaluating the effectiveness of regulatory strategies allows for timely understanding of their implementation and assessment of whether they are achieving their intended goals. This helps identify and adjust issues promptly, ensuring the effectiveness of regulatory strategies and enhancing the overall effectiveness of coordinated low-carbon urban regulation. Furthermore, this evaluation mechanism can provide data support and empirical insights for future policy formulation and adjustments.

[0133] By integrating multi-dimensional assessments, flexible threshold mechanisms, and a closed-loop feedback system, the solution systematically addresses the pain points of traditional approaches, such as incomplete indicators, rigid assessments, and low data credibility. In practical applications, this approach significantly reduces the chances of misjudging policy effectiveness and enhances the efficiency of cross-sector collaborative emission reduction efforts, providing a comprehensive, closed-loop technology process for urban low-carbon governance, from "policy execution" to "result iteration."

[0134] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. Those skilled in the art will appreciate that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0135] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0136] The above is only a specific implementation method of the present application, but the scope of protection of the present application is not limited thereto. Any technician familiar with this technical field can easily think of changes or replacements within the technical scope disclosed in this application, which should be covered by the scope of protection of the present application.

Claims

1. A method for coordinated urban low-carbon regulation based on multi-source data, characterized in that: include: Step 1: Obtain energy consumption data, analyze the energy consumption data to obtain the comprehensive carbon emissions in the urban area, and determine whether the comprehensive carbon emissions in the urban area meet the standards based on the comprehensive carbon emissions. If it does not meet the standards, implement energy regulation strategies; Step 2: Obtain meteorological data and calculate the annual runoff control rate based on the meteorological data. Then, determine whether the annual runoff control rate of the urban area meets the standard based on the annual runoff control rate. If it does not meet the standard, implement the control strategy in the building area. Step 3: Obtain carbon emission data for LID facilities and calculate the lifecycle carbon emissions of different types of LID facilities based on the carbon emission data. Determine whether the LID facilities in the urban area meet the standards based on the lifecycle carbon emissions. If they do not meet the standards, implement the LID full-cycle control strategy. Step 4: After selecting the corresponding control strategy based on the judgment results of steps 1 to 3, regularly evaluate the effectiveness of the control strategy to determine the implementation effect of the control strategy; The life cycle carbon emissions are calculated based on the carbon emissions data of LID facilities according to the following formula: ； Among them, ZQP represents the carbon emissions of the LID facility throughout its life cycle; cs g represents the emissions of the g-type LID facility during the construction phase; g represents the emissions of the g-type LID facility during the operation and maintenance phase; ds g represents the emission of the g-type LID facility during the disassembly phase; g represents the category number of the LID facility, and A represents the total number of LID facility categories; ef g represents the total carbon emissions of the zth type of pollutant after treatment by the gth type of LID facility; em z represents the carbon emission factor of the zth type of pollutant; z represents the serial number of the pollutant category, and B represents the total number of pollutant categories; The method for judging whether LID facilities in urban areas meet the standards based on their life cycle carbon emissions is as follows: Set a full life cycle carbon emission threshold and compare the full life cycle carbon emissions with the full life cycle carbon emission threshold. When the full life cycle carbon emissions ≥ the full life cycle carbon emission threshold, it is determined that the comprehensive carbon emissions of the LID facilities in the urban area do not meet the standards. When the full life cycle carbon emissions are less than the full life cycle carbon emission threshold, it is determined that the carbon emissions of the LID facilities in the urban area meet the standards. When the full life cycle carbon emissions do not meet the standards, the LID full-cycle control strategy needs to be implemented, specifically: During the construction phase, recycled aggregate was used instead of traditional concrete, and prefabricated modular bioretention facilities were employed; During the operation and maintenance phase, IoT sensors are installed to monitor the operating status of facilities in real time, reducing the number of maintenance operations. LID facilities are equipped with renewable energy power supply devices. During the demolition phase: LID facilities in the demolition phase are recycled and reused.

2. The urban low-carbon coordinated control method based on multi-source data according to claim 1 is characterized in that: The comprehensive carbon emissions within the urban area are calculated based on energy consumption data according to the following formula: ； Where: ZH represents comprehensive carbon emissions; E i represents the total consumption of the i-th energy; EF i represents the carbon emission factor of the i-th energy source; V j represents the energy consumption of the jth type of vehicle; EC j represents the carbon emission factor of the energy consumed by the jth type of transportation; EQ k，i represents the consumption of energy type i by the K-th enterprise; i represents the sequence number of energy type; n is the total number of energy types; EC j represents the carbon emission factor of the type of energy consumed by the jth category of transportation; α1 represents the weight coefficient of the total energy consumption; j represents the serial number of the transportation power category, and m represents the total number of transportation power categories; α2 represents the weight coefficient of the energy consumption of the transportation tool; and α3 represents the weight coefficient of the energy consumption of the enterprise.

3. The urban low-carbon coordinated control method based on multi-source data according to claim 2 is characterized in that: The method for judging whether the comprehensive carbon emissions of an urban area meet the standards based on the comprehensive carbon emissions is as follows: setting a comprehensive carbon emissions standard threshold, comparing the comprehensive carbon emissions with the comprehensive carbon emissions standard threshold, and when the comprehensive carbon emissions ≥ the comprehensive carbon emissions standard threshold, it is determined that the comprehensive carbon emissions of the urban area do not meet the standards; when the comprehensive carbon emissions < the comprehensive carbon emissions standard threshold, it is determined that the comprehensive carbon emissions of the urban area meet the standards; When the comprehensive carbon emissions do not meet the standards, the energy sector regulatory strategy will be implemented; specifically: Adjust the proportion of different energy structures, increase the proportion of renewable energy and reduce the proportion of non-renewable energy; Calculate the carbon emissions of different enterprises and compile a ranking of their carbon emissions. Select enterprises that are at the top of the carbon emissions ranking, implement real-time monitoring of their energy consumption, achieve dynamic supervision of carbon emissions, and identify equipment in enterprises that do not meet emission standards.

4. The urban low-carbon coordinated control method based on multi-source data according to claim 3 is characterized in that: The annual runoff control rate is calculated based on meteorological data according to the following formula: ； Among them, KZ represents the annual runoff control rate; VRa y VRn represents the rainfall in the yth return period; y represents the runoff volume in the yth return period; P y represents the time period of the yth return period; y represents the sequence number of the return period, L represents the number of return periods; S represents the total area of ​​the urban area; h y represents the rainfall intensity in the yth return period.

5. The urban low-carbon coordinated control method based on multi-source data according to claim 4 is characterized in that: The method for judging whether the annual runoff control rate of an urban area meets the standard based on the annual runoff control rate is as follows: setting a standard threshold for the runoff control rate, comparing the annual runoff control rate with the standard threshold for the runoff control rate; if the annual runoff control rate is less than the standard threshold for the runoff control rate, it is judged that the runoff control rate of the urban area does not meet the standard; if the annual runoff control rate is greater than or equal to the standard threshold for the runoff control rate, it is judged that the runoff control rate of the urban area meets the standard; When the runoff control rate does not meet the standard, the building area regulation strategy is implemented; specifically: The urban area is divided into several sub-areas using a grid division method. The installation ratio of LID facilities is counted and a LID ratio threshold is set. The installation ratio of LID facilities in each area is compared with the LID ratio threshold. If the LID ratio is lower than the LID ratio threshold, the corresponding LID facilities are added in this area. The greening rate of each sub-area is counted, and a greening rate threshold is set. The greening rate and proportion of each area are compared with the greening rate threshold. If it is lower than the greening rate threshold, the green area in the area is increased.

6. The urban low-carbon coordinated control method based on multi-source data according to claim 5 is characterized in that: After implementing the energy regulation strategy, the renewable energy consumption ratio, new energy vehicle ownership ratio, and transportation carbon emissions before and after the policy implementation are regularly obtained to calculate the comprehensive change rate of all parameters. The formula is as follows: ； Among them, BHL represents the comprehensive change rate before and after the energy regulation strategy; NYQ represents the proportion of renewable energy before the regulation strategy; NYH represents the proportion of renewable energy after the regulation strategy; BYQ represents the proportion of new energy vehicles before the regulation strategy; BYH represents the proportion of new energy vehicles after the regulation strategy; JTQ represents the carbon emissions from transportation before the regulation strategy; JTH represents the carbon emissions from transportation after the regulation strategy; After implementing the control strategy in the building sector, regularly obtain the LID facility coverage rate, pipe section overload rate, and green coverage rate before and after the policy implementation, and calculate the comprehensive change rate of all parameters. The formula is as follows: ； Among them, BHR represents the comprehensive change rate before and after the regulation strategy in the building sector; DFQ represents the LID facility coverage rate before the regulation strategy; DFH represents the LID facility coverage rate after the regulation strategy; GDQ represents the pipeline overload rate before the regulation strategy; GDH represents the pipeline overload rate after the regulation strategy; LHQ represents the green coverage rate before the regulation strategy; LHH represents the green coverage rate after the regulation strategy; After the LID full-cycle control strategy is implemented, the recycled material substitution rate, renewable energy self-sufficiency rate, and waste recycling rate before and after the policy implementation are regularly obtained to calculate the comprehensive change rate of all parameters. The formula is as follows: ； Among them, BHR represents the comprehensive change rate before and after the LID full-cycle regulation strategy; TDQ represents the recycled material substitution rate before the regulation strategy; TDH represents the recycled material substitution rate after the regulation strategy; ZJQ represents the renewable energy self-sufficiency rate before the regulation strategy, ZJH represents the renewable energy self-sufficiency rate after the regulation strategy; HSQ represents the waste recycling rate before the regulation strategy, and HSH represents the waste recycling rate after the regulation strategy.

7. The urban low-carbon coordinated control method based on multi-source data according to claim 6 is characterized in that: The method for judging the implementation effect of the control strategy is: Set execution evaluation threshold interval 1, execution evaluation threshold interval 2, and execution evaluation threshold interval 3; compare comprehensive change rate 1, comprehensive change rate 2, and comprehensive change rate 3 with evaluation threshold interval 1, execution evaluation threshold interval 2, and execution evaluation threshold interval 3, respectively, to determine the execution effects of different adjustment strategies; specifically: When the comprehensive change rate 1 is in line with the value range of the evaluation threshold interval 1, it indicates that the regulation and control strategy in the energy field is effective; when the comprehensive change rate 1 is lower than the lowest value of the value range of the evaluation threshold interval 1, it indicates that the regulation and control strategy in the energy field is effective; when the comprehensive change rate 1 exceeds the highest value of the value range of the evaluation threshold interval 1, it indicates that the regulation and control strategy in the energy field is effective; When the comprehensive change rate 2 is in line with the value range of the evaluation threshold interval 2, it indicates that the control strategy in the construction field is effective. When the comprehensive change rate 2 is lower than the lowest value of the value range of the evaluation threshold interval 2, it indicates that the control strategy in the construction field is effective. When the comprehensive change rate 2 exceeds the highest value of the value range of the evaluation threshold interval 2, it indicates that the control strategy in the construction field is effective. When the comprehensive change rate three is consistent with the value range of the evaluation threshold interval three, it indicates that the LID full-cycle control strategy is effective. When the comprehensive change rate three is lower than the lowest value of the value range of the evaluation threshold interval three, it indicates that the LID full-cycle control strategy is effective. When the comprehensive change rate three exceeds the highest value of the value range of the evaluation threshold interval three, it indicates that the LID full-cycle control strategy is effective.

8. The urban low-carbon coordinated control system based on multi-source data is characterized by: A method for implementing urban low-carbon coordinated regulation based on multi-source data according to any one of claims 1 to 7 above.

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