A method and system for intelligent assessment of carbon emissions

Abstract

The present application provides a method and system for intelligent assessment of carbon emissions, which relates to the field of artificial intelligence technology. The method includes: determining a carbon emission monitoring area, obtaining multiple monitoring areas, then extracting historical monitoring data, then setting emission constraints, and then obtaining an assessment system, establishing regional labels and assessment systems to construct emission monitoring terminals, partitioning according to real-time data, activating the assessment system for assessment, obtaining assessment levels, and then visualizing the geographical location of the region. The present application mainly solves the problems of untimely data updates, lack of real-time and dynamics, inability to timely reflect the changing trend of carbon emissions, low data processing efficiency, and large errors. The real-time carbon emission monitoring data is partitioned according to multiple carbon emission monitoring areas, and multiple regional assessment systems are activated and applied to evaluate the partitioned monitoring data to obtain multiple regional carbon emission assessment levels. The intelligent assessment of carbon emissions is realized, making the assessment more accurate and efficient.

Description

Technical Field

[0001] The present application relates to the field of artificial intelligence technology, and specifically to an intelligent carbon emissions assessment method and system. Background Art

[0002] Global climate change is one of the biggest challenges facing the world today. Climate change is mainly caused by greenhouse gas emissions generated by human activities, of which carbon emissions are the main source. Therefore, accurate and efficient assessment of carbon emissions is the key to addressing climate change. As global attention to climate change continues to increase, countries are actively promoting the development of a low-carbon economy. A low-carbon economy refers to an economic development model that achieves sustainable economic development by reducing greenhouse gas emissions, improving energy efficiency, and developing renewable energy. The application of intelligent assessment methods in the field of carbon emissions can provide decision-making support for the development of a low-carbon economy. With the continuous development of big data and artificial intelligence technologies, these technologies have been widely used in various fields. In the field of carbon emissions, intelligent assessment of carbon emissions can be achieved by collecting and analyzing various data related to carbon emissions and using machine learning algorithms to process and analyze the data.

[0003] However, in the process of implementing the technical solution of the invention in the embodiment of the present application, it is found that the above technology has at least the following technical problems:

[0004] The data is not updated in a timely manner, lacks real-time and dynamic characteristics, and cannot reflect the changing trends of carbon emissions in a timely manner. The data processing efficiency is low and the errors are large. Summary of the invention

[0005] This application mainly solves the problems of untimely data updates, lack of real-time and dynamics, inability to timely reflect the changing trends of carbon emissions, low data processing efficiency and large errors.

[0006] In view of the above problems, the present application provides a method and system for intelligent assessment of carbon emissions. In the first aspect, the present application provides a method for intelligent assessment of carbon emissions, the method comprising: determining a carbon emission monitoring area, dividing the carbon emission monitoring area based on carbon emission sources, and obtaining multiple carbon emission monitoring areas; extracting historical carbon emission monitoring data of the carbon emission monitoring area, and setting carbon emission constraints for multiple carbon emission monitoring areas based on the historical carbon emission monitoring data to obtain multiple regional carbon emission constraints; taking the constraint center of the regional carbon emission constraint as zero value, taking the regional carbon emission constraint as the constraint range, setting an assessment level for the carbon emission monitoring area, and obtaining multiple regional assessment systems; establishing regional labels for the multiple carbon emission monitoring areas, and establishing mapping relationships with multiple regional assessment systems to construct a carbon emission monitoring terminal; collecting real-time carbon emission monitoring data of the carbon emission monitoring area, and transmitting the real-time carbon emission monitoring data to the carbon emission monitoring terminal; partitioning the real-time carbon emission monitoring data according to multiple carbon emission monitoring areas, activating and applying multiple regional assessment systems to evaluate the partitioned carbon emission monitoring data, and obtaining multiple regional carbon emission assessment levels; visually displaying the multiple regional carbon emission assessment levels according to the geographical locations of the carbon emission monitoring areas.

[0007] In the second aspect, the present application provides an intelligent carbon emission assessment method system, the system comprising: a monitoring area acquisition module, the monitoring area acquisition module is used to determine the carbon emission monitoring area, divide the carbon emission monitoring area based on the carbon emission source, and obtain multiple carbon emission monitoring areas; an emission constraint acquisition module, the emission constraint acquisition module is used to extract historical carbon emission monitoring data of the carbon emission monitoring area, and set carbon emission constraints for multiple carbon emission monitoring areas based on the historical carbon emission monitoring data to obtain multiple regional carbon emission constraints; an evaluation system acquisition module, the evaluation system acquisition module is used to set an evaluation level for the carbon emission monitoring area with the constraint center of the regional carbon emission constraint as the zero value and the regional carbon emission constraint as the constraint range to obtain multiple regional evaluation systems; a monitoring terminal construction module The monitoring terminal construction module is used to establish regional labels for the multiple carbon emission monitoring areas, and establish mapping relationships with multiple regional evaluation systems to construct a carbon emission monitoring terminal; a real-time data acquisition module, the real-time data acquisition module is used to collect real-time carbon emission monitoring data of the carbon emission monitoring area, and transmit the real-time carbon emission monitoring data to the carbon emission monitoring terminal; an evaluation level acquisition module, the evaluation level acquisition module is used to partition the real-time carbon emission monitoring data according to multiple carbon emission monitoring areas, activate and apply multiple regional evaluation systems to evaluate the partitioned carbon emission monitoring data, and obtain multiple regional carbon emission evaluation levels; a visualization display module, the visualization display module is used to visualize the multiple regional carbon emission evaluation levels according to the geographical location of the carbon emission monitoring area.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0009] The present application provides an intelligent carbon emission assessment method and system, which relates to the field of artificial intelligence technology. The method includes: determining a carbon emission monitoring area, obtaining multiple monitoring areas, then extracting historical monitoring data, then setting emission constraints, and then obtaining an assessment system, establishing regional labels and an assessment system to construct an emission monitoring terminal, partitioning according to real-time data, activating the assessment system for assessment, obtaining an assessment level, and then visually displaying the area according to its geographical location.

[0010] This application mainly solves the problems of untimely data updates, lack of real-time and dynamics, inability to timely reflect the changing trend of carbon emissions, low data processing efficiency and large errors. The real-time carbon emission monitoring data is partitioned according to multiple carbon emission monitoring areas, and multiple regional assessment systems are activated and applied to evaluate the partitioned monitoring data to obtain multiple regional carbon emission assessment levels. Intelligent assessment of carbon emissions is realized, making the assessment more accurate and efficient.

[0011] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0013] Figure 1 A schematic diagram of a process flow of an intelligent carbon emission assessment method is provided for an embodiment of the present application;

[0014] Figure 2 A schematic flow chart of a method for obtaining multiple carbon emission monitoring areas in an intelligent carbon emission assessment method is provided for an embodiment of the present application;

[0015] Figure 3 A schematic diagram of a method flow for adding a first regional carbon emission constraint to multiple regional carbon emission constraints in an intelligent carbon emission assessment method is provided for an embodiment of the present application;

[0016] Figure 4A structural schematic diagram of an intelligent carbon emissions assessment system is provided for an embodiment of the present application.

[0017] Explanation of the reference numerals: monitoring area acquisition module 10 , emission constraint acquisition module 20 , evaluation system acquisition module 30 , monitoring terminal construction module 40 , real-time data collection module 50 , evaluation level acquisition module 60 , visualization display module 70 . DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0019] This application mainly solves the problems of untimely data updates, lack of real-time and dynamics, inability to timely reflect the changing trend of carbon emissions, low data processing efficiency and large errors. The real-time carbon emission monitoring data is partitioned according to multiple carbon emission monitoring areas, and multiple regional assessment systems are activated and applied to evaluate the partitioned monitoring data to obtain multiple regional carbon emission assessment levels. Intelligent assessment of carbon emissions is realized, making the assessment more accurate and efficient.

[0020] In order to better understand the above technical solution, the above solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods of the specification:

[0021] Embodiment 1

[0022] like Figure 1 A method for intelligently assessing carbon emissions is provided, the method comprising:

[0023] Determine a carbon emission monitoring area, divide the carbon emission monitoring area based on carbon emission sources, and obtain multiple carbon emission monitoring areas;

[0024] Specifically, determine the carbon emission monitoring area and divide the carbon emission monitoring area based on the carbon emission source to clarify which areas are the main carbon emission sources. This may include various fields such as industrial production, energy consumption, and transportation. Collect data related to carbon emissions, including energy consumption, industrial production, and transportation volume in each region. These data can be obtained through government statistical data, corporate reports, research institution data, etc. Based on the collected data, divide the areas with similar or similar carbon emission sources into the same carbon emission monitoring area. For example, if industrial production in a certain area is the main source of carbon emissions, then the area can be used as a carbon emission monitoring area. In each carbon emission monitoring area, select some representative locations as monitoring points. These monitoring points can be key areas such as industrial parks, transportation hubs, and energy centers. Install carbon emission monitoring equipment such as gas analyzers, infrared gas sensors, etc. at the selected monitoring points for real-time monitoring of carbon emissions. Through the above steps, multiple carbon emission monitoring areas can be determined, and corresponding monitoring points can be set for each area. These monitoring points can monitor the carbon emissions of each area in real time, provide decision support for policy makers, and promote the development of a low-carbon economy.

[0025] Extracting historical carbon emission monitoring data of a carbon emission monitoring area, and setting carbon emission constraints for multiple carbon emission monitoring areas based on the historical carbon emission monitoring data to obtain multiple regional carbon emission constraints;

[0026] Specifically, the historical carbon emission monitoring data of the carbon emission monitoring area is extracted, and carbon emission constraints are set for multiple carbon emission monitoring areas based on the historical carbon emission monitoring data to obtain multiple regional carbon emission constraints. The historical carbon emission monitoring data is extracted: the monitoring data related to carbon emissions is extracted from the historical data, including the carbon emissions, emission sources, emission time, etc. of each region. These data can be obtained through database query, data mining, etc. Set carbon emission constraint targets: According to the historical carbon emission data and policy objectives, set corresponding carbon emission constraint targets for each carbon emission monitoring area. These objectives can be to reduce carbon emissions, reduce emission intensity, etc. Formulate carbon emission constraint measures: formulate corresponding constraint measures for the carbon emission constraint targets of each region. These measures may include limiting energy consumption, improving energy utilization efficiency, promoting clean energy, etc. Through the above steps, multiple regional carbon emission constraints can be obtained. These constraints can provide decision support for policy makers and promote the development of a low-carbon economy.

[0027] Taking the constraint center of the regional carbon emission constraint as a zero value and the regional carbon emission constraint as a constraint range, setting an assessment level for the carbon emission monitoring area to obtain multiple regional assessment systems;

[0028] Specifically, the constraint center of the regional carbon emission constraint is taken as the zero value, the regional carbon emission constraint is taken as the constraint range, and the assessment level is set for the carbon emission monitoring area to obtain multiple regional assessment systems, and the carbon emission constraint center of each region is set to zero. If the carbon emissions of a region are within the constraint range, the assessment level of the region is zero. According to the carbon emission constraint target of each region, the corresponding constraint range is set. For example, if the carbon emission constraint target of a region is to reduce carbon emissions by 10%, the constraint range of the region can be set to -10% to +10%. Calculate the assessment level: For the carbon emissions of each region, the corresponding assessment level is calculated according to the degree of deviation from the constraint center. If the carbon emissions are within the constraint range, the assessment level is zero. If the deviation from the constraint range is upward or downward, the assessment level can be adjusted according to the degree of deviation. Set the assessment level standard: According to the policy objectives and actual conditions, set the standard for each assessment level. For example, the assessment level can be divided into several levels such as excellent, good, medium, and poor. Establish an assessment system: Associate the carbon emissions of each region with its corresponding assessment level, and establish an assessment system for multiple regions. This assessment system can be used to evaluate the carbon emission management effectiveness in various regions and provide a basis for decision-making for policy makers.

[0029] Establishing regional labels for the multiple carbon emission monitoring regions, establishing mapping relationships with multiple regional assessment systems, and constructing a carbon emission monitoring terminal;

[0030] Specifically, regional labels are established for the multiple carbon emission monitoring areas, and mapping relationships are established with multiple regional assessment systems, a carbon emission monitoring terminal is constructed, and a unique regional label is assigned to each carbon emission monitoring area. This label can be a number, a letter, or a combination, which is used to identify and distinguish different monitoring areas. Establish a mapping relationship: map the carbon emissions of each area with its corresponding assessment level. For example, if the carbon emissions of a region are within the constraint range and its assessment level is zero, then the mapping relationship between the carbon emissions of the region and its assessment level is 1:0. If the carbon emissions of a region exceed the constraint range and its assessment level is not zero, then the mapping relationship between the carbon emissions of the region and its assessment level can be adjusted according to the actual situation. Construct a carbon emission monitoring terminal: Use computer technology, network technology and other means to construct a carbon emission monitoring terminal. This terminal can receive and store carbon emission data of each region in real time, and calculate the corresponding assessment level according to the mapping relationship. At the same time, the terminal can also provide a visual interface to display the carbon emissions and assessment levels of each region, which is convenient for users to manage and analyze.

[0031] Collecting real-time carbon emission monitoring data in the carbon emission monitoring area, and transmitting the real-time carbon emission monitoring data to the carbon emission monitoring terminal;

[0032] Specifically, real-time carbon emission monitoring data of the carbon emission monitoring area is collected, and the real-time carbon emission monitoring data is transmitted to the carbon emission monitoring terminal. In each carbon emission monitoring area, corresponding carbon emission monitoring equipment, such as gas analyzers, infrared gas sensors, etc., are installed. These devices can monitor the carbon emissions of each area in real time and transmit the data to the carbon emission monitoring terminal. Using the Internet, the Internet of Things and other technologies, a data transmission network is established to connect the carbon emission monitoring equipment in each area with the carbon emission monitoring terminal. This network can ensure the transmission and reception of real-time data. Through the data transmission network, the carbon emission monitoring data of each area is collected in real time. These data include carbon emissions, emission sources, emission time, etc. The collected real-time carbon emission monitoring data is transmitted to the carbon emission monitoring terminal. This terminal can receive and process these data, and store and analyze them as needed.

[0033] Partitioning the real-time carbon emission monitoring data according to multiple carbon emission monitoring areas, activating and applying multiple regional assessment systems to assess the partitioned carbon emission monitoring data, and obtaining multiple regional carbon emission assessment levels;

[0034] Specifically, the real-time carbon emission monitoring data is partitioned according to multiple carbon emission monitoring areas, multiple regional assessment systems are activated and applied to evaluate the partitioned carbon emission monitoring data, and multiple regional carbon emission assessment levels are obtained. The real-time carbon emission monitoring data is partitioned according to multiple carbon emission monitoring areas according to factors such as geographical location and emission source type. This can make the data more localized and targeted so as to better reflect the carbon emissions in each region. Activate regional assessment systems: For each partition, activate the corresponding regional assessment system. These assessment systems are constraint targets and assessment levels set for each region based on historical carbon emission data and policy targets. Evaluate partitioned carbon emission data: Evaluate the carbon emission monitoring data of each partition according to the activated regional assessment system. This can include comparing the difference between real-time data and constraint targets, calculating assessment levels, etc. Obtain assessment results: According to the assessment results, the carbon emission assessment level of each region is obtained. These levels can reflect the effectiveness of carbon emission management in each region and provide decision-making basis for policy makers and enterprises.

[0035] The multiple regional carbon emission assessment levels are visualized according to the geographical locations of the carbon emission monitoring areas.

[0036] Specifically, the multiple regional carbon emission assessment levels are visualized according to the geographical locations of the carbon emission monitoring areas, and appropriate visualization tools, such as maps, charts, etc., are selected to display the regional carbon emission assessment levels. These tools can intuitively display the carbon emissions and assessment levels of each region. Mapping geographical locations: Map the geographical location of each carbon emission monitoring area with the corresponding regional carbon emission assessment level. This can be achieved through technologies such as coordinate systems and geographic information systems, so that an association is established between the geographical location and the assessment level. Visual display: Use visualization tools to visualize the mapped geographical location and the regional carbon emission assessment level. This can include marking areas on the map, using visual elements such as color or size to indicate the assessment level, etc.

[0037] Furthermore, if Figure 2 As shown, the method of the present application divides the carbon emission monitoring area based on the carbon emission source to obtain multiple carbon emission monitoring areas, including:

[0038] Identifying a plurality of carbon emission sources in the carbon emission monitoring area, and setting carbon emission attenuation thresholds for the plurality of carbon emission sources respectively;

[0039] Diffusion is performed with the multiple carbon emission sources as regional centers, and when the diffusion reaches the carbon emission attenuation threshold, the diffusion is stopped to obtain multiple preliminary monitoring areas;

[0040] With the goal of covering the carbon emission monitoring area, the multiple preliminary monitoring areas are adjusted to obtain multiple carbon emission monitoring areas.

[0041] Specifically, multiple carbon emission sources are identified in the carbon emission monitoring area, and carbon emission attenuation thresholds are set for the multiple carbon emission sources respectively; diffusion is performed with the multiple carbon emission sources as the regional center, and when the diffusion reaches the carbon emission attenuation threshold, the diffusion is stopped to obtain multiple preliminary monitoring areas; with the goal of covering the carbon emission monitoring area, the multiple preliminary monitoring areas are adjusted to obtain multiple carbon emission monitoring areas, and multiple carbon emission sources are identified: in the carbon emission monitoring area, the main carbon emission sources are identified, such as industrial production, energy consumption, transportation, etc. These carbon emission sources may come from different fields or regions, so they need to be accurately identified and classified. Setting carbon emission attenuation thresholds: for each carbon emission source, a corresponding carbon emission attenuation threshold is set according to its emission amount and potential impact. These thresholds can be used as a basis for judging whether the carbon emission source needs to be monitored and managed. Diffusion is performed with multiple carbon emission sources as the regional center: with the identified multiple carbon emission sources as the regional center, diffusion operations are performed according to their geographical location and emission conditions. The purpose of diffusion is to determine which areas are affected by these carbon emission sources and to preliminarily determine the boundaries of the monitoring area. Stop diffusion and obtain preliminary monitoring areas: When diffusion reaches the set carbon emission attenuation threshold, stop the diffusion operation. At this point, multiple preliminary monitoring areas can be obtained, which represent areas affected by specific carbon emission sources. Adjust the preliminary monitoring area: With the goal of covering the entire carbon emission monitoring area, adjust the preliminary monitoring area. This may involve operations such as merging, splitting or boundary adjustment of regions to ensure the coverage and accuracy of the monitoring area. Obtain multiple carbon emission monitoring areas: After adjustment, multiple final carbon emission monitoring areas are obtained. These areas represent the carbon emission sources and their impact range that need to be focused on and managed.

[0042] Furthermore, the method of the present application sets carbon emission constraints for multiple carbon emission monitoring areas based on the historical carbon emission monitoring data to obtain multiple regional carbon emission constraints, including:

[0043] Dividing the historical carbon emission monitoring data according to a plurality of carbon emission monitoring regions to obtain a plurality of regional historical monitoring data;

[0044] Storing the plurality of regional historical monitoring data in correspondence with the plurality of carbon emission monitoring regions;

[0045] Based on the historical monitoring data of the multiple regions, carbon emission constraints are respectively set for the multiple carbon emission monitoring regions to obtain multiple regional carbon emission constraints.

[0046] Specifically, the historical carbon emission monitoring data is divided according to multiple carbon emission monitoring areas to obtain multiple regional historical monitoring data; the multiple regional historical monitoring data are stored correspondingly to the multiple carbon emission monitoring areas; based on the multiple regional historical monitoring data, carbon emission constraints are set for multiple carbon emission monitoring areas respectively to obtain multiple regional carbon emission constraints, and the historical carbon emission monitoring data is divided: the historical carbon emission monitoring data is divided according to multiple carbon emission monitoring areas according to factors such as geographical location and emission source type. This can make the data more localized and targeted so as to better reflect the carbon emissions of each region. Storing regional historical monitoring data: the divided multiple regional historical monitoring data are stored correspondingly to the corresponding multiple carbon emission monitoring areas. This can ensure the traceability and accuracy of the data and provide basic data for the subsequent carbon emission constraint setting. Setting carbon emission constraints: based on the multiple regional historical monitoring data, corresponding carbon emission constraints are set for each carbon emission monitoring area respectively. These constraints can be set based on factors such as the trend of historical data and emission intensity to ensure that carbon emissions in each region are effectively controlled and managed. Obtaining multiple regional carbon emission constraints: carbon emission constraints for multiple regions can be obtained. These constraints can serve as a basis for policymakers and businesses to make decisions and promote the development of a low-carbon economy.

[0047] Furthermore, if Figure 3 As shown, the method of the present application sets carbon emission constraints for multiple carbon emission monitoring areas based on the historical monitoring data of the multiple areas, and obtains multiple regional carbon emission constraints, including:

[0048] Locking a first carbon emission monitoring area among the multiple carbon emission monitoring areas, and extracting first area historical monitoring data corresponding to the first carbon emission monitoring area;

[0049] Based on the first area historical monitoring data, construct a first area monitoring box plot, wherein the first area monitoring box plot has a first area monitoring box;

[0050] Extracting a first upper box line and a first lower box line of the first regional monitoring box, and establishing a first regional carbon emission constraint of the first carbon emission monitoring region with the first upper box line and the first lower box line;

[0051] The first regional carbon emission constraint is added to the multiple regional carbon emission constraints.

[0052] Specifically, a specific area is locked in multiple carbon emission monitoring areas, and the historical monitoring data corresponding to the area is extracted. A monitoring box plot of the area is constructed based on the historical monitoring data. The upper box line and the lower box line of the box plot are extracted, and the carbon emission constraints of the area are established based on this. Finally, the carbon emission constraints of the area are added to the overall carbon emission constraints of multiple areas. Locking the first carbon emission monitoring area: Select a specific area as the first carbon emission monitoring area from multiple carbon emission monitoring areas. This area can be a specific area locked as needed or a representative area selected according to certain standards. Extracting the historical monitoring data corresponding to the first carbon emission monitoring area: Extracting the historical monitoring data corresponding to the first carbon emission monitoring area from the stored historical monitoring data of multiple areas. These data should be able to reflect the carbon emissions of the area in the past period of time. Constructing the first area monitoring box plot: Based on the historical monitoring data of the first area, the first area monitoring box plot is constructed using appropriate statistical methods and techniques. The box plot is an effective visualization tool that can display statistical indicators such as the distribution, median, and quartiles of data. Extract the upper box line and the lower box line of the first regional monitoring box: extract the upper box line and the lower box line from the first regional monitoring box line diagram. Establish the carbon emission constraint of the first carbon emission monitoring area: establish the carbon emission constraint of the first carbon emission monitoring area based on the extracted first upper box line and the first lower box line. This constraint can be a range, indicating that the carbon emissions within the range are considered appropriate or acceptable. Add the first regional carbon emission constraint to multiple regional carbon emission constraints: add the established first regional carbon emission constraint to the existing multiple regional carbon emission constraints. This can form a more comprehensive and integrated carbon emission constraint system, covering the carbon emissions of multiple different regions.

[0053] Furthermore, the method of the present application takes the constraint center of the regional carbon emission constraint as zero value, takes the regional carbon emission constraint as constraint range, sets an assessment level for the carbon emission monitoring area, and obtains multiple regional assessment systems, the method comprising:

[0054] Extract the median of the monitoring box in the first area as the first constraint center of the carbon emission constraint in the first area;

[0055] Setting a first assessment level difference for a first carbon emission monitoring area;

[0056] Taking the first constraint center as the first zero value and the first evaluation level difference as the step length, respectively approximating the first upper box line and the first lower box line in sequence to obtain a first regional evaluation system;

[0057] The first regional assessment system is added to a plurality of regional assessment systems.

[0058] Specifically, after extracting the median of the first regional monitoring box as the first constraint center of the first regional carbon emission constraint, the assessment grade difference of the first carbon emission monitoring area can be further set, and the first regional assessment system can be constructed. Extract the median of the first regional monitoring box: extract the median from the first regional monitoring box plot as the first constraint center of the first regional carbon emission constraint. The median can represent the central position of the data and provide a reference for the carbon emission constraint. Set the assessment grade difference of the first carbon emission monitoring area: set the assessment grade difference of the first carbon emission monitoring area as needed. This grade difference can be a value or a ratio, which is used to determine the difference and boundary between the assessment grades. Construct the first regional assessment system: take the first constraint center as the benchmark, take the first assessment grade difference as the step length, and respectively approximate the first upper box line and the first lower box line in turn to obtain the first regional assessment system. This assessment system can evaluate and classify regions according to different levels of carbon emissions. Add the first regional assessment system to multiple regional assessment systems: add the constructed first regional assessment system to the existing multiple regional assessment systems. This can form a more comprehensive and integrated assessment system covering the carbon emissions of multiple different regions.

[0059] Furthermore, the method of the present application establishes regional labels for the multiple carbon emission monitoring regions, establishes mapping relationships with multiple regional assessment systems, and constructs a carbon emission monitoring terminal, including:

[0060] Constructing a monitoring area map of the carbon emission monitoring area, marking multiple carbon emission monitoring areas on the monitoring area map, and labeling the multiple carbon emission monitoring areas;

[0061] Map and connect the labeling results with multiple regional assessment systems in sequence, and set assessment grade colors for multiple carbon emission monitoring areas on the monitoring area map according to the labeling results and the multiple regional assessment systems;

[0062] Based on the mapping connection results and the assessment grade color setting results, the carbon emission monitoring terminal is obtained.

[0063] Specifically, a monitoring area map of the carbon emission monitoring area is constructed, and multiple carbon emission monitoring areas are marked and numbered on the map, and then mapped and connected with multiple regional assessment systems according to the numbering results, and the assessment level color is set for the monitoring area. Finally, the carbon emission monitoring terminal is obtained based on these results. Constructing a monitoring area map: Using appropriate mapping tools and techniques, a monitoring area map of the carbon emission monitoring area is constructed. The map should be able to accurately display information such as the geographical location, shape and size of the area. Marking multiple carbon emission monitoring areas: On the monitoring area map, multiple carbon emission monitoring areas are marked. The marking may include information such as the name, location, and range of the area to facilitate subsequent identification and assessment. Numbering multiple carbon emission monitoring areas: Each carbon emission monitoring area is uniquely numbered for easy distinction and management. The number can be a number, a letter, or a combination, which can be selected according to specific needs. Mapping and connecting the numbering results with multiple regional assessment systems: The number of each carbon emission monitoring area is mapped and connected with the corresponding regional assessment system. This can be achieved by establishing a database, a table, or an association relationship to ensure that each area corresponds to its corresponding assessment system. Set assessment grade color: According to the marking results and multiple regional assessment systems, set the corresponding assessment grade color for each carbon emission monitoring area on the monitoring area map. Different levels of color can represent different carbon emission conditions and assessment results, so as to intuitively display the carbon emission status of the region. Get carbon emission monitoring terminal: Based on the mapping connection results and assessment grade color setting results, get the corresponding carbon emission monitoring terminal. These terminals can include sensors, data collectors, analysis equipment, etc., which are used to monitor and collect carbon emission data in real time.

[0064] Furthermore, the present application method also includes:

[0065] Set up an update cycle for the evaluation system;

[0066] When the update cycle of the assessment system is triggered, the most recent historical carbon emission monitoring data of the carbon emission monitoring area is re-extracted;

[0067] The multiple regional assessment systems are updated and optimized based on the recent historical carbon emission monitoring data.

[0068] Specifically, set the update cycle of the assessment system, and re-extract the recent historical carbon emission monitoring data when the update cycle is triggered, and update and optimize multiple regional assessment systems based on these data. Set the update cycle of the assessment system: Set the update cycle of the assessment system according to the development dynamics, policy adjustments and other factors of the carbon emission monitoring area. This cycle can be a fixed time period, such as annually, quarterly or monthly, or a dynamic update cycle triggered by specific events or conditions. Trigger the update cycle of the assessment system: When the set update cycle of the assessment system is triggered, it means that the assessment system needs to be updated and optimized. This may involve the re-extraction, calculation and analysis of data, as well as the adjustment and improvement of the assessment system. Re-extract the recent historical carbon emission monitoring data: When the update cycle of the assessment system is triggered, the recent historical carbon emission monitoring data needs to be re-extracted. These data should be able to reflect the latest situation of the current carbon emission monitoring area, including the carbon emissions and emission trends of each region. Update and optimize the regional assessment system based on the recent historical carbon emission monitoring data: Update and optimize multiple regional assessment systems based on the re-extracted recent historical carbon emission monitoring data. This may include adjusting assessment indicators, updating grade boundaries, improving assessment algorithms, etc. to ensure that the assessment system matches the actual situation in the current carbon emissions monitoring area.

[0069] Embodiment 2

[0070] Based on the same inventive concept as the intelligent carbon emission assessment method in the aforementioned embodiment, Figure 4 As shown, the present application provides an intelligent carbon emission assessment system, the system comprising:

[0071] A monitoring area acquisition module 10, the monitoring area acquisition module 10 is used to determine a carbon emission monitoring area, divide the carbon emission monitoring area based on the carbon emission source, and acquire multiple carbon emission monitoring areas;

[0072] An emission constraint acquisition module 20, wherein the emission constraint acquisition module 20 is used to extract historical carbon emission monitoring data of a carbon emission monitoring area, and set carbon emission constraints for multiple carbon emission monitoring areas based on the historical carbon emission monitoring data to obtain multiple regional carbon emission constraints;

[0073] An evaluation system acquisition module 30, wherein the evaluation system acquisition module 30 is used to set an evaluation level for the carbon emission monitoring area with the constraint center of the regional carbon emission constraint as a zero value and the regional carbon emission constraint as a constraint range, so as to obtain multiple regional evaluation systems;

[0074] A monitoring terminal construction module 40, wherein the monitoring terminal construction module 40 is used to establish regional labels for the multiple carbon emission monitoring regions, establish mapping relationships with multiple regional assessment systems, and construct a carbon emission monitoring terminal;

[0075] A real-time data acquisition module 50, wherein the real-time data acquisition module 50 is used to collect real-time carbon emission monitoring data of the carbon emission monitoring area and transmit the real-time carbon emission monitoring data to the carbon emission monitoring terminal;

[0076] An assessment grade acquisition module 60, the assessment grade acquisition module 60 is used to partition the real-time carbon emission monitoring data according to multiple carbon emission monitoring areas, activate and apply multiple regional assessment systems to evaluate the partitioned carbon emission monitoring data, and obtain multiple regional carbon emission assessment grades;

[0077] The visualization display module 70 is used to visualize the carbon emission assessment levels of the multiple regions according to the geographical locations of the carbon emission monitoring areas.

[0078] Furthermore, the system also includes:

[0079] A monitoring area acquisition module is used to identify multiple carbon emission sources in the carbon emission monitoring area and set carbon emission attenuation thresholds for the multiple carbon emission sources respectively; diffuse with the multiple carbon emission sources as the regional center, and stop diffusing when the expansion reaches the carbon emission attenuation threshold to obtain multiple preliminary monitoring areas; with the goal of covering the carbon emission monitoring area, the multiple preliminary monitoring areas are adjusted to obtain multiple carbon emission monitoring areas.

[0080] Furthermore, the system also includes:

[0081] The emission constraint acquisition module is used to divide the historical carbon emission monitoring data according to multiple carbon emission monitoring areas to obtain multiple regional historical monitoring data; store the multiple regional historical monitoring data in correspondence with the multiple carbon emission monitoring areas; and set carbon emission constraints for multiple carbon emission monitoring areas based on the multiple regional historical monitoring data to obtain multiple regional carbon emission constraints.

[0082] Furthermore, the system also includes:

[0083] A first box line extraction module is used to lock a first carbon emission monitoring area among the multiple carbon emission monitoring areas, and extract the first area historical monitoring data corresponding to the first carbon emission monitoring area; based on the first area historical monitoring data, construct a first area monitoring box plot, wherein the first area monitoring box plot has a first area monitoring box; extract the first upper box line and the first lower box line of the first area monitoring box, and establish the first area carbon emission constraint of the first carbon emission monitoring area with the first upper box line and the first lower box line; and add the first area carbon emission constraint to multiple area carbon emission constraints.

[0084] Furthermore, the system also includes:

[0085] The first regional assessment system acquisition module is used to extract the median of the first regional monitoring box as the first constraint center of the first regional carbon emission constraint; set the first assessment level difference of the first carbon emission monitoring area; take the first constraint center as the first zero value, and take the first assessment level difference as the step size, and respectively approximate the first upper box line and the first lower box line in turn to obtain the first regional assessment system; add the first regional assessment system to multiple regional assessment systems.

[0086] Furthermore, the system also includes:

[0087] A carbon emission monitoring terminal acquisition module is used to construct a monitoring area map of the carbon emission monitoring area, mark multiple carbon emission monitoring areas on the monitoring area map, and label multiple carbon emission monitoring areas; = map and connect the labeling results with multiple regional assessment systems in sequence, and set assessment level color settings for multiple carbon emission monitoring areas on the monitoring area map according to the marking results and multiple regional assessment systems; = obtain a carbon emission monitoring terminal based on the mapping connection results and the assessment level color setting results.

[0088] Furthermore, the system also includes:

[0089] The update optimization module is used to set the update cycle of the evaluation system; when the update cycle of the evaluation system is triggered, the recent historical carbon emission monitoring data of the carbon emission monitoring area is re-extracted; based on the recent historical carbon emission monitoring data, the multiple regional evaluation systems are updated and optimized.

[0090] Through the detailed description of the aforementioned intelligent assessment method for carbon emissions, those skilled in the art can clearly understand an intelligent assessment system for carbon emissions in this embodiment. For the system disclosed in the embodiment, since it corresponds to the device disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0091] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An intelligent carbon emission assessment method, characterized in that: The method comprises: Determine a carbon emission monitoring area, divide the carbon emission monitoring area based on carbon emission sources, and obtain multiple carbon emission monitoring areas; Extracting historical carbon emission monitoring data of a carbon emission monitoring area, and setting carbon emission constraints for multiple carbon emission monitoring areas based on the historical carbon emission monitoring data to obtain multiple regional carbon emission constraints; Taking the constraint center of the regional carbon emission constraint as a zero value and the regional carbon emission constraint as a constraint range, setting an assessment level for the carbon emission monitoring area to obtain multiple regional assessment systems; Establishing regional labels for the multiple carbon emission monitoring regions, establishing mapping relationships with multiple regional assessment systems, and constructing a carbon emission monitoring terminal; Collecting real-time carbon emission monitoring data in the carbon emission monitoring area, and transmitting the real-time carbon emission monitoring data to the carbon emission monitoring terminal; Partitioning the real-time carbon emission monitoring data according to multiple carbon emission monitoring areas, activating and applying multiple regional assessment systems to assess the partitioned carbon emission monitoring data, and obtaining multiple regional carbon emission assessment levels; Visually displaying the carbon emission assessment levels of the multiple regions according to the geographical locations of the carbon emission monitoring areas; The carbon emission monitoring area is divided based on the carbon emission source to obtain multiple carbon emission monitoring areas, including: Identifying a plurality of carbon emission sources in the carbon emission monitoring area, and setting carbon emission attenuation thresholds for the plurality of carbon emission sources respectively; Diffusion is performed with the multiple carbon emission sources as regional centers, and when the diffusion reaches the carbon emission attenuation threshold, the diffusion is stopped to obtain multiple preliminary monitoring areas; With the goal of covering the carbon emission monitoring area, the multiple preliminary monitoring areas are adjusted to obtain multiple carbon emission monitoring areas; Carbon emission constraints are set for multiple carbon emission monitoring areas based on the historical carbon emission monitoring data to obtain multiple regional carbon emission constraints, including: Dividing the historical carbon emission monitoring data according to a plurality of carbon emission monitoring regions to obtain a plurality of regional historical monitoring data; Storing the plurality of regional historical monitoring data in correspondence with the plurality of carbon emission monitoring regions; Based on the historical monitoring data of the multiple regions, carbon emission constraints are respectively set for the multiple carbon emission monitoring regions to obtain multiple regional carbon emission constraints.

2. The method according to claim 1, characterized in that Based on the historical monitoring data of the multiple regions, carbon emission constraints are set for the multiple carbon emission monitoring regions respectively, to obtain multiple regional carbon emission constraints, including: Locking a first carbon emission monitoring area among the multiple carbon emission monitoring areas, and extracting first area historical monitoring data corresponding to the first carbon emission monitoring area; Based on the first area historical monitoring data, construct a first area monitoring box plot, wherein the first area monitoring box plot has a first area monitoring box; Extracting a first upper box line and a first lower box line of the first regional monitoring box, and establishing a first regional carbon emission constraint of the first carbon emission monitoring region with the first upper box line and the first lower box line; The first regional carbon emission constraint is added to the multiple regional carbon emission constraints.

3. The method according to claim 2, characterized in that Taking the constraint center of the regional carbon emission constraint as a zero value, taking the regional carbon emission constraint as a constraint range, setting an assessment level for the carbon emission monitoring area, and obtaining multiple regional assessment systems, the method includes: Extract the median of the monitoring box in the first area as the first constraint center of the carbon emission constraint in the first area; Setting a first assessment level difference for a first carbon emission monitoring area; Taking the first constraint center as the first zero value and the first evaluation level difference as the step length, respectively approximating the first upper box line and the first lower box line in sequence to obtain a first regional evaluation system; The first regional assessment system is added to a plurality of regional assessment systems.

4. The method according to claim 1, characterized in that: Establish regional labels for the multiple carbon emission monitoring regions, establish mapping relationships with multiple regional assessment systems, and construct a carbon emission monitoring terminal, including: Constructing a monitoring area map of the carbon emission monitoring area, marking multiple carbon emission monitoring areas on the monitoring area map, and labeling the multiple carbon emission monitoring areas; Map and connect the labeling results with multiple regional assessment systems in sequence, and set assessment grade colors for multiple carbon emission monitoring areas on the monitoring area map according to the labeling results and the multiple regional assessment systems; Based on the mapping connection results and the assessment grade color setting results, the carbon emission monitoring terminal is obtained.

5. The method according to claim 1, characterized in that The method further comprises: Set up an update cycle for the evaluation system; When the update cycle of the assessment system is triggered, the most recent historical carbon emission monitoring data of the carbon emission monitoring area is re-extracted; The multiple regional assessment systems are updated and optimized based on the recent historical carbon emission monitoring data.

6. An intelligent carbon emission assessment system, characterized in that: The system is used to execute the method according to any one of claims 1 to 5, and the system comprises: A monitoring area acquisition module, the monitoring area acquisition module is used to determine a carbon emission monitoring area, divide the carbon emission monitoring area based on the carbon emission source, and acquire multiple carbon emission monitoring areas; An emission constraint acquisition module, the emission constraint acquisition module is used to extract historical carbon emission monitoring data of a carbon emission monitoring area, set carbon emission constraints for multiple carbon emission monitoring areas based on the historical carbon emission monitoring data, and obtain multiple regional carbon emission constraints; An evaluation system acquisition module, wherein the evaluation system acquisition module is used to set an evaluation level for the carbon emission monitoring area with the constraint center of the regional carbon emission constraint as a zero value and the regional carbon emission constraint as a constraint range, so as to obtain multiple regional evaluation systems; A monitoring terminal construction module, wherein the monitoring terminal construction module is used to establish regional labels for the multiple carbon emission monitoring regions, establish mapping relationships with multiple regional assessment systems, and construct a carbon emission monitoring terminal; A real-time data acquisition module, wherein the real-time data acquisition module is used to collect real-time carbon emission monitoring data of the carbon emission monitoring area and transmit the real-time carbon emission monitoring data to the carbon emission monitoring terminal; An assessment grade acquisition module, the assessment grade acquisition module is used to partition the real-time carbon emission monitoring data according to multiple carbon emission monitoring areas, activate and apply multiple regional assessment systems to evaluate the partitioned carbon emission monitoring data, and obtain multiple regional carbon emission assessment grades; A visualization display module is used to visualize the carbon emission assessment levels of the multiple regions according to the geographical locations of the carbon emission monitoring areas.

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