Carbon emission data analysis system based on artificial intelligence

Abstract

The invention relates to the technical field of artificial intelligence, in particular to a carbon emission data analysis system based on artificial intelligence. The carbon emission data analysis system based on artificial intelligence comprises a data acquisition unit, an artificial intelligence platform, an emission management unit and an enterprise terminal unit. According to the invention, through preprocessing the carbon emission data, the data of each sensor can be reasonably weighed, the carbon emission calculation deviation caused by large error of individual sensors is avoided, the accuracy of subsequent carbon emission analysis and management is greatly improved, and by integrating manual and economic benefits into carbon emission benefit calculation and optimizing resource allocation, the carbon emission analysis and management efficiency is improved. The method has the advantages that the carbon emission request is allocated based on the carbon emission benefit and the releasable amount, and the carbon emission resource is enabled to flow to enterprises with higher benefits by matching with a fine step-by-step approval and pause mechanism, so that the emission order can be ensured, and the carbon emission request is allocated based on the carbon emission benefit and the releasable amount.

Description

Technical Field

[0001] The present invention relates to the technical field of artificial intelligence, and particularly to a carbon emission data analysis system based on artificial intelligence. Background Art

[0002] At present, the status quo of artificial intelligence shows a booming trend and demonstrates great potential and application prospects in multiple fields. For example, in intelligent manufacturing, the production process is optimized through artificial intelligence technology to improve manufacturing efficiency, reduce costs, and achieve automation and intelligence; in intelligent transportation, intelligent driving, traffic flow prediction, intelligent scheduling, etc. are realized through artificial intelligence technology to improve traffic safety and efficiency.

[0003] With the increasing global attention to climate change issues, the analysis and management of carbon emission data have become crucial. Carbon emission is a general term or abbreviation for greenhouse gas emissions, and carbon dioxide is the main component of greenhouse gases. The increase in carbon emissions will cause sea level rise, glacier retreat, and climate anomalies, affecting the natural ecological environment. In view of this situation, the carbon emission data analysis system becomes even more important.

[0004] In the patent document with the application number "CN202410658145.4", a carbon emission data analysis system based on artificial intelligence is disclosed. It is characterized in that the collected carbon emission data is divided into regions by the carbon emission data collection module, and the data is transmitted to the carbon emission data analysis module. The carbon emission data analysis module analyzes the collected carbon emission data and transmits it to the carbon emission anomaly index calculation module. The carbon emission anomaly index calculation module calculates the carbon emission anomaly index and transmits the detected carbon emission anomaly result to the carbon emission anomaly location module. The carbon emission anomaly location module determines the carbon emission anomaly region and marks and records it, and transmits the location information of the located carbon emission anomaly to the carbon emission anomaly feedback module. The carbon emission anomaly feedback module generates an anomaly data report and sends it together with the received carbon emission anomaly region location information to the nearest monitoring personnel terminal, improving the accuracy of carbon emission data analysis and data collection efficiency.

[0005] Although the carbon emission data analysis system provided by the above patent document has advantages such as recording carbon emission anomaly data, it lacks the optimal allocation of carbon emission resources. Based on this, the present invention provides a carbon emission data analysis system based on artificial intelligence to solve the above-mentioned technical problems. Summary of the Invention

[0006] The object of the present invention is to provide an artificial intelligence-based carbon emission data analysis system. Through the preprocessing of carbon emission data, it can reasonably weigh the data of each sensor, avoid the deviation of carbon emission calculation caused by the large error of individual sensors, greatly improve the accuracy of subsequent carbon emission analysis and management, and by integrating labor and economic benefits into the calculation of carbon emission benefits, optimize resource allocation, and cooperate with a fine step-by-step approval and suspension mechanism to ensure orderly emissions. At the same time, based on carbon emission benefits and releaseable amounts, carbon emission requests are allocated, enabling carbon emission resources to flow to enterprises with higher benefits.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] The present invention provides an artificial intelligence-based carbon emission data analysis system, including a data acquisition unit, an artificial intelligence platform, an emission management unit, and an enterprise terminal unit, wherein:

[0009] The data acquisition unit is used to collect the carbon emission data of each carbon emission enterprise in the detection area and preprocess the collected carbon emission data;

[0010] The artificial intelligence platform makes a first intelligent determination of each carbon emission enterprise according to the received carbon emission data of each carbon emission enterprise, makes a second intelligent determination of the excess requests of each carbon emission enterprise based on the excess request information, the first carbon emission result, and the carbon emission benefits of the enterprise, and performs artificial intelligence sorting and release instruction feedback on the carbon emission requests. The artificial intelligence platform is connected to the data acquisition unit, the emission management unit, and the enterprise terminal unit;

[0011] The emission management unit issues corresponding warning information according to the received warning information and release instruction information, uploads preset threshold information and updates the carbon emission setting information of each carbon emission enterprise, and at the same time, displays the received information. The emission management unit is connected to the data acquisition unit, the artificial intelligence platform, and the enterprise terminal unit;

[0012] The enterprise terminal unit is used to provide the business information of the carbon emission enterprise, upload the excess emission request information, and receive the corresponding excess emission request feedback information. The enterprise terminal unit is connected to the artificial intelligence platform and the emission management unit.

[0013] The present invention is further arranged as follows: The data acquisition unit includes a data collection module, a data preprocessing module, and a first communication module, wherein:

[0014] The data collection module is used to collect the carbon emission data of each carbon emission enterprise in the detection area;

[0015] The data preprocessing module is used to preprocess the carbon emission data of each carbon emission enterprise collected. The data preprocessing module is connected to the data collection module. Among them, the preprocessing process is as follows:

[0016] Calculate the relative accuracy values of the sensors used at different collection points for the same carbon emission enterprise h at the same moment t In the formula, e i is the error range of the i-th sensor;

[0017] Normalize the relative accuracy of each sensor to obtain the corresponding accuracy weight In the formula, n is the number of sensors, is the sum of the relative accuracies of all sensors;

[0018] Calculate the carbon emission of carbon emission enterprise h at moment t In the formula, x i is the carbon emission collected by the i-th sensor at moment t;

[0019] The first communication module is used to realize the information interaction between the data acquisition unit and the artificial intelligence platform. The first communication module is connected to the data preprocessing module.

[0020] The present invention is further configured as: The artificial intelligence platform includes a second communication module, an intelligent evaluation module, and a database module, where:

[0021] The second communication module is used to realize the information interaction between the artificial intelligence platform and the data acquisition unit, the emission management unit, and the enterprise terminal unit;

[0022] The intelligent evaluation module makes a first intelligent determination of each carbon emission enterprise according to the received carbon emission data of each carbon emission enterprise, and makes a second intelligent determination of the over-limit requests of each carbon emission enterprise based on the over-limit request information, the first carbon emission result, and the carbon emission benefit of the enterprise. The intelligent evaluation module is connected to the second communication module;

[0023] The database module is used to store the preset threshold information, the retrieved information of each carbon emission enterprise, and the collected carbon emission data. The database module is connected to both the second communication module and the intelligent evaluation module.

[0024] The present invention is further configured as: The process of the first intelligent determination is as follows:

[0025] Compare the carbon emission X h of each carbon emission enterprise h with the carbon emission index amount D h of the corresponding enterprise;

[0026] If the carbon emission X h≤Carbon emission index quantity D h , it is determined that the carbon emission enterprise h does not exceed the emission limit;

[0027] Otherwise, it is determined that the carbon emission enterprise exceeds the emission limit, and a warning message is fed back to the emission management unit.

[0028] The further setting of the present invention is as follows: The process of the second intelligent determination is as follows:

[0029] When all the carbon emission enterprises h do not exceed the emission limit in the result of the first intelligent determination, calculate the total carbon emission index of each carbon emission enterprise h

[0030] Then calculate the available release amount D of carbon emissions 释放 = D 阈值 - D 总 , where D 阈值 is the limit threshold of carbon emissions;

[0031] According to the excessive emission request information of the carbon emission enterprise h, calculate the carbon emission benefit E of the corresponding carbon emission enterprise h h = βZ 1h + γZ 2h , where ω ih is the artificial benefit weight, I ih is the artificial benefit index, ω jh is the economic benefit weight, I jh is the economic benefit index, β and γ are both weight coefficients, and β + γ = 1;

[0032] According to the magnitudes of the carbon emission benefits of each carbon emission enterprise h and the requested emission amounts of the corresponding carbon emission enterprises h, approve the carbon emission requests of the corresponding carbon emission enterprises h in sequence. When the newly increased carbon emissions of the first carbon emission enterprise to the jth carbon emission enterprise approved for emission ≤ the available release amount D 释放 , and the newly increased carbon emissions of the first carbon emission enterprise to the (j + 1)th carbon emission enterprise > the available release amount D 释放 , suspend the carbon emission requests of the (j + 1)th carbon emission enterprise and subsequent carbon emission enterprises;

[0033] When all the carbon emission enterprises h exceed the emission limit in the result of the first intelligent determination, it is determined that the carbon emission requests of all carbon emission enterprises h are not approved;

[0034] When some of the carbon emission enterprises h exceed the emission limit in the result of the first intelligent determination, screen out the carbon emission enterprises that do not exceed the emission limit, and make a determination in the same way as when all the carbon emission enterprises h do not exceed the emission limit in the result of the first intelligent determination.

[0035] A further setting of the present invention is that: the artificial intelligence platform further includes an intelligent sorting module and a release feedback module, where:

[0036] The intelligent sorting module, based on the result of the second intelligent determination, performs artificial intelligence sorting on the carbon emission requests according to the magnitude of the carbon emission benefits of the approved carbon emission enterprises h, and the intelligent sorting module is connected to the intelligent evaluation module;

[0037] The release feedback module, according to the received sorting information, releases instruction information and feeds it back to the emission management unit, and the release feedback module is connected to the second communication module, the database module and the intelligent sorting module.

[0038] A further setting of the present invention is that: the emission management unit includes a third communication module and an information display module, where:

[0039] The third communication module is used to realize information interaction between the emission management unit, the data acquisition unit, the artificial intelligence platform and the enterprise terminal unit;

[0040] The information display module is used to display the received information, and the information display module is connected to the third communication module.

[0041] A further setting of the present invention is that: the emission management unit further includes an information release module and a warning reminder module, where:

[0042] The information release module is used to upload preset threshold information and update the carbon emission setting information of each carbon emission enterprise, and the information release module is connected to both the third communication module and the information display module;

[0043] The warning reminder module, according to the received warning information and release instruction information, issues corresponding warning information, and the warning reminder module is connected to both the third communication module and the information display module.

[0044] Compared with the prior art, the beneficial effects of the present invention are:

[0045] Through the preprocessing of carbon emission data, that is, by calculating the relative accuracy value and accuracy weight of sensors and comprehensively considering the measurement errors of different sensors, the present invention significantly improves the accuracy of the final carbon emission calculation, can reasonably weigh the data of each sensor, avoid the carbon emission calculation deviation caused by the large error of individual sensors, and greatly improves the accuracy of subsequent carbon emission analysis and management. At the same time, by integrating the artificial benefit and economic benefit into the calculation of carbon emission benefit, the integration of multiple factors is realized, which more accurately reflects the actual impact and value of the enterprise's carbon emissions. In this way, enterprises can be guided to pay attention to improving the artificial benefit while pursuing economic benefits, realizing the organic combination of enterprise development and carbon emission management, and allocating carbon emission requests based on carbon emission benefit and releaseable amount, so that carbon emission resources flow to enterprises with higher benefits, thereby promoting the improvement of the resource utilization efficiency of the entire industry. In addition, approving carbon emission requests step by step according to the enterprise's carbon emission benefit and requested emission amount ensures the smooth and orderly carbon emission management. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 FIG. is a system diagram of a carbon emission data analysis system based on artificial intelligence according to the present invention.

[0047] Figure 2 FIG. is a system diagram of a data acquisition unit in a carbon emission data analysis system based on artificial intelligence according to the present invention.

[0048] Figure 3 FIG. is a system diagram of an artificial intelligence platform in a carbon emission data analysis system based on artificial intelligence according to the present invention.

[0049] Figure 4 FIG. is a system diagram of an emission management unit in a carbon emission data analysis system based on artificial intelligence according to the present invention.

[0050] DESCRIPTION OF THE REFERENCE NUMERALS IN THE DRAWINGS:

[0051] 100, data acquisition unit; 110, data collection module; 120, data preprocessing module; 130, first communication module; 200, artificial intelligence platform; 210, second communication module; 220, intelligent evaluation module; 230, database module; 240, intelligent sorting module; 250, release feedback module; 300, emission management unit; 310, third communication module; 320, information display module; 330, information publishing module; 340, early warning reminder module; 400, enterprise terminal unit. DETAILED DESCRIPTION OF THE INVENTION

[0052] Next, in combination with the embodiments of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0053] Embodiment:

[0054] As Figures 1 - 4 shown, this embodiment provides an artificial intelligence-based carbon emission data analysis system, including a data acquisition unit 100, an artificial intelligence platform 200, an emission management unit 300, and an enterprise terminal unit 400, wherein: the data acquisition unit 100 is used to collect the carbon emission data of each carbon emission enterprise in the detection area and preprocess the collected carbon emission data; the artificial intelligence platform 200 makes a first intelligent determination of each carbon emission enterprise according to the received carbon emission data of each carbon emission enterprise, and makes a second intelligent determination of the over-limit requests of each carbon emission enterprise based on the over-limit request information, the first carbon emission result, and the carbon emission benefit of the enterprise, and performs artificial intelligence sorting and release instruction feedback on the carbon emission requests. The artificial intelligence platform 200 is connected to the data acquisition unit 100, the emission management unit 300, and the enterprise terminal unit 400; the emission management unit 300 issues corresponding warning information according to the received warning information and release instruction information, uploads the preset threshold information and updates the carbon emission setting information of each carbon emission enterprise, and at the same time, displays the received information. The emission management unit 300 is connected to the data acquisition unit 100, the artificial intelligence platform 200, and the enterprise terminal unit 400; the enterprise terminal unit 400 is used to provide the operation information of the carbon emission enterprise, upload the over-limit emission request information, and receive the corresponding over-limit emission request feedback information. The enterprise terminal unit 400 is connected to the artificial intelligence platform 200 and the emission management unit 300.

[0055] In this embodiment, it should be noted that the data acquisition unit 100 collects the carbon emissions of each carbon emission enterprise through sensors at different detection points, preprocesses the collected carbon emission data, and uploads the preprocessed carbon emission data to the artificial intelligence platform 200. The artificial intelligence platform 200 first compares the obtained carbon emission data with the corresponding carbon emission index amount of the enterprise. If it exceeds the carbon emission index amount, it indicates that the enterprise has illegal emissions, and the information is fed back to the emission management unit 300. Managers can view the information through the emission management unit 300, and can, including but not limited to, notify the illegal carbon emission enterprise to stop illegal and excessive emissions. The artificial intelligence platform 200 will also perform a second intelligent determination on the overage requests of each carbon emission enterprise based on the overage request information, the first carbon emission result, and the carbon emission benefit of the enterprise, and then sort the carbon emission requests according to the size of the carbon emission benefit of the approved carbon emission enterprises, and feed back the release instruction information to the emission management unit 300. Managers can set the carbon emission index amount of each carbon emission enterprise according to the release instruction and update the stored carbon emission index amount of each carbon emission enterprise. The set enterprise terminal unit 400 can send a request for excessive emissions to the manager. After approval, it can carry out carbon emissions according to the given carbon emission index amount.

[0056] In the present invention, the data acquisition unit 100 includes a data collection module 110, a data preprocessing module 120, and a first communication module 130, where: the data collection module 110 is used to collect the carbon emission data of each carbon emission enterprise in the detection area; the data preprocessing module 120 is used to preprocess the collected carbon emission data of each carbon emission enterprise. The data preprocessing module 120 is connected to the data collection module 110. Among them, the preprocessing process is as follows:

[0057] Calculate the relative accuracy values of the sensors used by the same carbon emission enterprise h at different collection points at the same moment t In the formula, e i is the error range of the i-th sensor.

[0058] Normalize the relative accuracy of each sensor to obtain the corresponding accuracy weight In the formula, n is the number of sensors, is the sum of the relative accuracies of all sensors.

[0059] Calculate the carbon emissions of the carbon emission enterprise h at the moment t In the formula, x i is the carbon emissions collected by the i-th sensor at the moment t.

[0060] In addition, the first communication module 130 is used to implement information interaction between the data acquisition unit 100 and the artificial intelligence platform 200, and the first communication module 130 is connected to the data preprocessing module 120.

[0061] In this embodiment, it should be noted that this embodiment uses an artificial intelligence model for preprocessing carbon emission data. The artificial intelligence model usually has high generality and generalization ability and can be applied to fields such as natural language processing, image recognition, speech recognition, and data correction. It is widely used and will not be elaborated here. Through the provided data acquisition module 110 in this embodiment, all-round data collection of each carbon emission enterprise in the detection area can be performed, providing a data basis for subsequent analysis. The collected data is uploaded to the data preprocessing module 120. The data preprocessing module 120 calculates the relative accuracy value and accuracy weight of the sensors, comprehensively considers the measurement errors of different sensors, significantly improves the accuracy of the final carbon emission calculation, can reasonably weigh the data of each sensor, and avoid carbon emission calculation deviation caused by large errors of individual sensors. The preprocessed carbon emission data is uploaded to the artificial intelligence platform 200 through the first communication module 130 for management personnel to view.

[0062] As an example of preprocessing, assume that at time t, the carbon emission enterprise h has sensors at 2 different collection points, and the error ranges of sensors 1 and 2 are e 1 =1, e 2 =1. Then the relative accuracies of sensors 1 and 2 are 1 and 1 respectively, and the corresponding accuracy weights are 0.5 and 0.5 respectively. Assume that the carbon emissions collected by sensors 1 and 2 at time t are 100 and 120 respectively. Then the carbon emissions of the carbon emission enterprise h at time t are 110.

[0063] The preprocessing method provided in this embodiment calculates carbon emissions by considering the relative accuracy of sensors at different collection points and assigning corresponding weights, avoiding the excessive influence of possible errors or biases of a single sensor on the results. At the same time, this method does not rely on a single calculation mode, but calculates the relative accuracy and weight according to the actually measured error range, so as to better adapt to various complex monitoring scenarios.

[0064] In the present invention, the artificial intelligence platform 200 includes a second communication module 210, an intelligent evaluation module 220, and a database module 230, where: the second communication module 210 is used to implement information interaction between the artificial intelligence platform 200, the data acquisition unit 100, the emission management unit 300, and the enterprise terminal unit 400; the intelligent evaluation module 220 makes a first intelligent determination on each carbon emission enterprise according to the carbon emission data of each received carbon emission enterprise, and makes a second intelligent determination on the over-limit requests of each carbon emission enterprise based on the over-limit request information, the first carbon emission result, and the carbon emission benefit of the enterprise. The intelligent evaluation module 220 is connected to the second communication module 210; the database module 230 is used to store the preset threshold information, the retrieved information of each carbon emission enterprise, and the collected carbon emission data. The database module 230 is connected to both the second communication module 210 and the intelligent evaluation module 220.

[0065] In this embodiment, it should be noted that the preprocessed carbon emission data is received through the second communication module 210 and uploaded to the intelligent evaluation module 220, and the first intelligent determination and the second intelligent determination are performed by the intelligent evaluation module 220.

[0066] Among them, the process of the first intelligent determination is as follows:

[0067] Compare the carbon emissions X of each carbon emission enterprise h h with the carbon emission index amount D of the corresponding enterprise h for comparison.

[0068] If the carbon emissions X h ≤ the carbon emission index amount D h , it is determined that the carbon emission enterprise h does not emit in excess.

[0069] Otherwise, it is determined that the carbon emission enterprise emits in excess, and a warning message is fed back to the emission management unit 300.

[0070] In addition, the process of the second intelligent determination is as follows:

[0071] When all the carbon emission enterprises h in the result of the first intelligent determination do not emit in excess, calculate the total carbon emission index of each carbon emission enterprise h

[0072] Then calculate the available emission amount D of carbon emissions 释放 = D 阈值 - D 总 , where D 阈值 is the limit threshold of carbon emissions.

[0073] According to the over-limit emission request information of the carbon emission enterprise h, calculate the carbon emission benefit E of the corresponding carbon emission enterprise h h = βZ1h +γZ 2h , where ω ih is the artificial benefit weight, and I ih is the artificial benefit index, ω jh is the economic benefit weight, and I jh is the economic benefit index. Both β and γ are weight coefficients, and β + γ = 1.

[0074] According to the magnitudes of the carbon emission benefits of each carbon emission enterprise h and the corresponding requested carbon emission amounts of the carbon emission enterprise h, the carbon emission requests of the corresponding carbon emission enterprise h are approved in sequence. When the newly increased carbon emission amounts from the 1st to the jth carbon emission enterprises whose emissions are approved ≤ the release amount D 释放 , and the newly increased carbon emission amounts from the 1st to the (j + 1)th carbon emission enterprises > the release amount D 释放 , the carbon emission requests of the (j + 1)th carbon emission enterprise and subsequent carbon emission enterprises are suspended.

[0075] When all carbon emission enterprises h exceed the emission limit in the result of the first intelligent determination, it is determined that the carbon emission requests of all carbon emission enterprises h are not approved.

[0076] When some carbon emission enterprises h exceed the emission limit in the result of the first intelligent determination, the carbon emission enterprises that do not exceed the emission limit are screened out, and the determination is made in the same way as when all carbon emission enterprises h do not exceed the emission limit in the result of the first intelligent determination.

[0077] As an example, assume that there are 3 carbon emission enterprises, namely enterprise A, enterprise B, and enterprise C. The carbon emission index amounts and emission data of each enterprise are shown in Table 1.

[0078] Table 1: Carbon emission index amounts and emission data table of each enterprise

[0079] Enterprise Carbon emission quota (tons) Emission (tons) Enterprise A 100 80 Enterprise B 120 130 Enterprise C 90 70

[0080] The first intelligent determination is as follows:

[0081] Enterprise A: The carbon emission amount of 80 tons is less than the carbon emission index amount of 100 tons, and it is determined that enterprise A does not exceed the emission limit.

[0082] Enterprise B: The carbon emission amount of 130 tons is greater than the carbon emission index amount of 120 tons, and it is determined that enterprise B exceeds the emission limit, and a warning message is fed back to the emission management unit 300.

[0083] Enterprise C: The carbon emission amount of 70 tons is less than the carbon emission index amount of 90 tons, and it is determined that enterprise C does not exceed the emission limit.

[0084] The second intelligent determination is as follows:

[0085] Suppose the defined threshold for carbon emissions is 500 tons.

[0086] Calculate the total amount of carbon emission indicators: the indicator amount of Enterprise A is 100 tons + the indicator amount of Enterprise B is 120 tons + the indicator amount of Enterprise C is 90 tons = 310 tons.

[0087] Calculate the releasable amount of carbon emissions: 500 - 310 = 190 tons.

[0088] Suppose Enterprise A, Enterprise B and the enterprise respectively put forward requests for carbon emissions. Since Enterprise B exceeds the standard in emissions, its carbon emission request is not approved. Given that the labor efficiency indicator of Enterprise A is 80, the labor efficiency weight is 0.4; the economic efficiency indicator is 90, and the economic efficiency weight is 0.6; the labor efficiency indicator of Enterprise B is 75, the labor efficiency weight is 0.4; the economic efficiency indicator is 85, and the economic efficiency weight is 0.6; calculating the carbon emission benefits shows that the carbon emission benefit of Enterprise A is 86 and that of Enterprise B is 81. Suppose Enterprise A requests an excessive carbon emission of 20 tons and Enterprise C requests an excessive carbon emission of 30 tons. Sorting according to the carbon emission benefits from large to small, first approve the request of Enterprise A. At this time, the newly increased carbon emissions are 20 tons, and 20 tons is less than 190 tons; then approve the request of Enterprise C, and the newly increased carbon emissions become 50 tons, and 50 tons is less than 190 tons.

[0089] In addition, it should be noted that the setting methods of the labor efficiency indicator and the economic efficiency indicator include but are not limited to being determined by methods such as expert scoring.

[0090] In the present invention, the artificial intelligence platform 200 further includes an intelligent sorting module 240 and a release feedback module 250, wherein: the intelligent sorting module 240 performs artificial intelligence sorting on carbon emission requests based on the results of the second intelligent determination according to the magnitudes of the carbon emission benefits of the approved carbon emission enterprises h, and the intelligent sorting module 240 is connected to the intelligent evaluation module 220; the release feedback module 250 feeds back the release instruction information to the emission management unit 300 according to the received sorting information, and the release feedback module 250 is connected to the second communication module 210, the database module 230 and the intelligent sorting module 240.

[0091] In this embodiment, it should be noted that the intelligent sorting module 240 receives the information of the intelligent evaluation module 220, sorts the carbon emission requests, and uploads the sorting information to the release feedback module 250. The release feedback module 250 feeds back the release instruction information to the emission management unit 300 through the second communication module 210.

[0092] In the present invention, the emission management unit 300 includes a third communication module 310 and an information display module 320, where: the third communication module 310 is used to implement information interaction between the emission management unit 300, the data acquisition unit 100, the artificial intelligence platform 200, and the enterprise terminal unit 400; the information display module 320 is used to implement the received information, and the information display module 320 is connected to the third communication module 310.

[0093] In addition, the emission management unit 300 further includes an information publishing module 330 and a warning reminder module 340, where: the information publishing module 330 is used to upload preset threshold information and update the carbon emission setting information of each carbon emission enterprise, and the information publishing module 330 is connected to both the third communication module 310 and the information display module 320; the warning reminder module 340 issues corresponding warning information according to the received warning information and release instruction information, and the warning reminder module 340 is connected to both the third communication module 310 and the information display module 320.

[0094] In this embodiment, it should be noted that the release instruction information of the artificial intelligence platform 200 is received through the third communication module 310 and uploaded to the information display module 320, and the release instruction information is displayed by the information display module 320 for the management personnel to view. After the management personnel confirm it, it is fed back to the enterprise terminal unit 400 through the third communication module 310. At the same time, the preset carbon emission index of the carbon emission enterprise is updated through the information publishing module 330, that is, the carbon emission setting information of each carbon emission enterprise is updated. In addition, when the warning reminder module 340 receives the warning information and the release instruction information, it will issue corresponding information to provide to the management personnel.

[0095] In the description of this specification, the description with reference to terms such as "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0096] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific embodiments described. Obviously, many modifications and variations can be made according to the content of this specification. These embodiments are selected and specifically described in this specification to better explain the principles and practical applications of the present invention, so that those skilled in the relevant art can understand and utilize the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A carbon emission data analysis system based on artificial intelligence, characterized in that: The system comprises a data acquisition unit (100), an artificial intelligence platform (200), an emission management unit (300) and an enterprise terminal unit (400), wherein: The data acquisition unit (100) is used to collect carbon emission data of each carbon emission enterprise in the detection area, and pre-process the collected carbon emission data; The artificial intelligence platform (200) performs a first intelligent determination on each carbon emission enterprise based on the received carbon emission data of each carbon emission enterprise, and performs a second intelligent determination on the excess request of each carbon emission enterprise based on the excess request information of each carbon emission enterprise, the first carbon emission result and the carbon emission benefit of the enterprise, and performs artificial intelligence sorting and release instruction feedback on the carbon emission requests, wherein the artificial intelligence platform (200) is connected to the data acquisition unit (100), the emission management unit (300) and the enterprise terminal unit (400); The emission management unit (300) issues corresponding warning information according to the received warning information and release instruction information, uploads preset threshold information and updates carbon emission setting information of each carbon emission enterprise, and displays the received information at the same time. The emission management unit (300) is connected to the data acquisition unit (100), the artificial intelligence platform (200) and the enterprise terminal unit (400); The enterprise terminal unit (400) is used to provide operating information of the carbon emission enterprise, upload excess emission request information, and receive corresponding excess emission request feedback information. The enterprise terminal unit (400) is connected to both the artificial intelligence platform (200) and the emission management unit (300).

2. According to claim 1, a carbon emission data analysis system based on artificial intelligence is characterized in that: The data acquisition unit (100) comprises a data acquisition module (110), a data preprocessing module (120) and a first communication module (130), wherein: The data collection module (110) is used to collect carbon emission data of each carbon emission enterprise in the detection area; The data preprocessing module (120) is used to preprocess the collected carbon emission data of each carbon emission enterprise. The data preprocessing module (120) is connected to the data collection module (110), wherein the preprocessing process is as follows: Calculate the relative accuracy of sensors used by the same carbon emission enterprise h at different collection points at the same time t In the formula, e i is the error range of the i-th sensor; Normalize the relative accuracy of each sensor to obtain the corresponding accuracy weight Where n is the number of sensors, is the sum of the relative accuracy of all sensors; Calculate the carbon emissions of carbon emitting enterprise h at time t In the formula, x i is the carbon emissions collected by the i-th sensor at time t; The first communication module (130) is used to realize information interaction between the data acquisition unit (100) and the artificial intelligence platform (200), and the first communication module (130) is connected to the data preprocessing module (120).

3. The carbon emission data analysis system based on artificial intelligence according to claim 1 is characterized in that: The artificial intelligence platform (200) comprises a second communication module (210), an intelligent evaluation module (220) and a database module (230), wherein: The second communication module (210) is used to realize information interaction between the artificial intelligence platform (200) and the data acquisition unit (100), the emission management unit (300) and the enterprise terminal unit (400); The intelligent evaluation module (220) performs a first intelligent determination on each carbon emission enterprise based on the received carbon emission data of each carbon emission enterprise, and performs a second intelligent determination on the excess request of each carbon emission enterprise based on the excess request information of each carbon emission enterprise, the first carbon emission result and the carbon emission benefits of the enterprise, and the intelligent evaluation module (220) is connected to the second communication module (210); The database module (230) is used to store preset threshold information, retrieved information of each carbon emission enterprise and collected carbon emission data, and the database module (230) is connected to both the second communication module (210) and the intelligent evaluation module (220).

4. The carbon emission data analysis system based on artificial intelligence according to claim 3 is characterized in that: The process of the first intelligent determination is as follows: The carbon emissions of each carbon emitting enterprise h are X h and the corresponding enterprise’s carbon emission index D h Make a comparison; If the carbon emission is X h ≤Carbon emission index D h , then it is determined that the carbon emission enterprise h has not exceeded the emission limit; Otherwise, it is determined that the carbon emission enterprise has exceeded the emission limit, and a warning message is fed back to the emission management unit (300).

5. The carbon emission data analysis system based on artificial intelligence according to claim 3 is characterized in that: The process of the second intelligent determination is as follows: When all carbon emission enterprises h do not exceed the emission limit in the first intelligent judgment, the total carbon emission index of each carbon emission enterprise h is calculated. Then calculate the amount of carbon emissions that can be released D 释放 =D 阈值 -D 总 , where D 阈值 is the defined threshold for carbon emissions; According to the excess emission request information of carbon emission enterprise h, calculate the carbon emission benefit E of the corresponding carbon emission enterprise h h =βZ 1h +γZ 2h , where ω ih is the labor efficiency weight, I ih is the labor efficiency index, ω jh is the economic benefit weight, I jh is the economic benefit index, β and γ are weight coefficients, and β+γ=1; According to the size of the carbon emission benefits of each carbon emission enterprise h and the carbon emission request emission of the corresponding carbon emission enterprise h, the carbon emission request of the corresponding carbon emission enterprise h is approved in turn. When the newly added carbon emissions of the first carbon emission enterprise to the jth carbon emission enterprise approved for emission are ≤ the releasable amount D 释放 , and the newly added carbon emissions from the 1st carbon emission enterprise to the j+1th carbon emission enterprise> the releasable amount D 释放 When , the carbon emission requests of the j+1th carbon emission enterprise and subsequent carbon emission enterprises are suspended; When all carbon emission enterprises h have exceeded their emission quotas in the first intelligent judgment, it is determined that the carbon emission requests of all carbon emission enterprises h are not approved; When some carbon emission enterprises h exceed the emission limit in the result of the first intelligent judgment, the carbon emission enterprises that do not exceed the emission limit are screened out, and the judgment is made in the same manner as when all carbon emission enterprises h do not exceed the emission limit in the result of the first intelligent judgment.

6. The carbon emission data analysis system based on artificial intelligence according to claim 5 is characterized in that: The artificial intelligence platform (200) further includes an intelligent sorting module (240) and a release feedback module (250), wherein: The intelligent sorting module (240) performs artificial intelligence sorting of carbon emission requests according to the carbon emission benefits of the approved carbon emission enterprise h based on the result of the second intelligent judgment, and the intelligent sorting module (240) is connected to the intelligent evaluation module (220); The release feedback module (250) feeds back the release instruction information to the emission management unit (300) based on the received sorting information, and the release feedback module (250) is connected to the second communication module (210), the database module (230) and the intelligent sorting module (240).

7. The carbon emission data analysis system based on artificial intelligence according to claim 1 is characterized in that: The emission management unit (300) comprises a third communication module (310) and an information display module (320), wherein: The third communication module (310) is used to realize information interaction between the emission management unit (300) and the data acquisition unit (100), the artificial intelligence platform (200) and the enterprise terminal unit (400); The information display module (320) is used to implement the received information, and the information display module (320) is connected to the third communication module (310).

8. The carbon emission data analysis system based on artificial intelligence according to claim 7 is characterized in that: The emission management unit (300) further includes an information release module (330) and an early warning module (340), wherein: The information publishing module (330) is used to upload preset threshold information and update carbon emission setting information of each carbon emission enterprise, and the information publishing module (330) is connected to both the third communication module (310) and the information display module (320); The early warning reminder module (340) issues corresponding early warning information according to the received early warning information and release instruction information. The early warning reminder module (340) is connected to both the third communication module (310) and the information display module (320).

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