Carbon emission management system based on big data processing

Abstract

The invention relates to the technical field of carbon emission management, in particular to a carbon emission management system based on big data processing, which comprises a data acquisition module for periodically acquiring the gas concentration of a park, an environment monitoring module for acquiring environment information and a data processing module for data processing, the data transmission module is used for sorting and transmitting the data, the data analysis module is used for judging whether the carbon emission of the park meets the standard or not and judging the reason that the carbon emission does not meet the standard based on the gas concentration, and the instruction generation module is used for generating a corresponding processing instruction based on the reason that the carbon emission does not meet the standard. And the instruction control module is used for re-determining a preset concentration area value based on the processing instruction, or re-determining a gas concentration average value, or re-determining a gas concentration screening standard, or sending a corresponding notice. According to the invention, real-time adjustment on the system based on real-time monitoring data is effectively realized, the judgment precision of the system is effectively ensured, and the monitoring efficiency of the system on carbon emission is effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon emission management, and in particular to a carbon emission management system based on big data processing. Background Art

[0002] Carbon emissions refer to the process of human activities emitting carbon dioxide and other greenhouse gases into the atmosphere. A park is a concentrated area planned and constructed to achieve specific goals, with clear boundaries and functional positioning. It aims to improve efficiency and promote regional development through resource integration. Park carbon emissions refer to the amount of carbon dioxide emitted by all activities within the park. Park carbon emissions are a core indicator for measuring a park's green development level. Their sources cover the entire chain of activities within the park, including production, life, and transportation, and include both direct and indirect emissions. Direct emissions include carbon emissions from energy combustion, industrial process carbon emissions, and leakage. Indirect emissions include indirect energy emissions, emissions from raw material production, emissions from the transport and disposal of waste from the park, and carbon emissions from transportation. Park carbon emissions monitoring is a core link in achieving low-carbon management. It is of great significance in determining the emission base, clarifying emission reduction directions, supporting carbon management decision-making and compliance, reducing operating costs and risks, enhancing green competitiveness and brand value, and promoting technological innovation and industrial upgrading.

[0003] Chinese patent publication number CN109190915B discloses a carbon emission management system based on urban planning. The system comprises a monitoring unit and multiple detection units, which communicate wirelessly with the monitoring unit via a wireless communication module. The monitoring unit includes a display terminal, a data processing terminal, and a database. The data processing terminal is equipped with a data receiving module, a data analysis module, a report generation module, and a carbon emission control module. The detection unit also includes a carbon emission collection module, a data transmission module, and an early warning module. The carbon emission collection module collects carbon emission data, urban road information data, urban meteorological data, and urban vehicle input data in real time. The monitoring unit analyzes this data in real time and generates reports, providing early warnings for excessive emissions. This system enables rational planning for future carbon emissions, contributes to environmental protection, and improves urban management.

[0004] As can be seen, the above solution monitors carbon emissions from urban transportation through a carbon emissions management system. However, it cannot achieve real-time adjustments to the system based on real-time monitoring data, cannot guarantee the system's accuracy, and cannot guarantee the system's efficiency in monitoring carbon emissions. Summary of the Invention

[0005] To this end, the present invention provides a carbon emission management system based on big data processing to overcome the problem in the prior art that it is impossible to achieve real-time adjustment of the system based on real-time monitoring data and ensure the system's judgment accuracy, resulting in low efficiency in the system's monitoring of carbon emissions.

[0006] To achieve the above objectives, the present invention provides a carbon emission management system based on big data processing, comprising:

[0007] The data acquisition module includes several monitoring sensors to periodically collect gas concentrations in corresponding areas around the park;

[0008] An environmental monitoring module, connected to the data acquisition module, for collecting environmental information around the park, including wind speed and rainfall;

[0009] a data processing module connected to the environmental monitoring module, configured to clean, reduce noise, and screen the data corresponding to the gas concentration, wind speed, and rainfall to remove abnormal data;

[0010] A data transmission module, connected to the data processing module, for collating and transmitting the processed data;

[0011] a data analysis module connected to the data transmission module, configured to determine whether the carbon emissions of the park meet the standards based on the gas concentration, and to determine the reasons why the carbon emissions of the park do not meet the standards based on the gas concentration;

[0012] an instruction generation module connected to the data analysis module, for generating corresponding processing instructions based on the reasons for not meeting the standards;

[0013] An instruction control module is respectively connected to the data processing module, the data analysis module and the instruction generation module, and is used to redetermine the preset concentration area value, or redetermine the gas concentration average value, or redetermine the gas concentration screening standard, or issue a corresponding notification based on the received processing instructions.

[0014] Furthermore, the data analysis module is used to determine whether the carbon emissions of the park meet the standards based on the concentration-area value, and, when it is determined that the carbon emissions of the park do not meet the standards, to determine whether the carbon emissions of the park meet the standards based on the variance of the slope at each node in the distance-gas concentration average value curve, or to determine the reason why the carbon emissions of the park do not meet the standards based on the concentration-area value; wherein the concentration-area value is the area value of the distance-gas concentration average value curve within the period, and the gas concentration average value is the average value of each of the gas concentrations in each collection area.

[0015] Furthermore, the data analysis module is also used to determine whether the carbon emissions of the park meet the standards based on the node slope variance, and the instruction generation module determines to correct the preset concentration area value based on the node slope variance, or the data analysis module determines the reason why the carbon emissions of the park do not meet the standards based on the concentration area value; wherein the node slope variance is the variance of the absolute value of the slope connecting two adjacent nodes in the distance-gas concentration average curve.

[0016] Furthermore, the instruction control module is used to increase the preset concentration area value based on the node slope variance difference, and the increase in the preset concentration area value is proportional to the node slope variance difference; wherein the node slope variance difference is the difference between the node slope variance and the preset node slope variance.

[0017] Furthermore, the instruction control module is configured to reduce the preset concentration area value based on the rainfall after the preset concentration area value increases, and the reduction range of the preset concentration area value is proportional to the rainfall.

[0018] Furthermore, the data analysis module is also used to determine the reason why the carbon emissions of the park do not meet the standards based on the concentration-area value difference, and to generate corresponding processing instructions based on the determined reasons, including: the data analysis module determines the reason why the carbon emissions of the park do not meet the standards based on the historical concentration-area values, the data analysis module determines the reason why the carbon emissions of the park do not meet the standards based on the wind speed, or the instruction generation module determines the gas concentration screening standard based on the concentration-area value difference to correct the gas concentration data; wherein the concentration-area value difference is the difference between the concentration-area value and the second preset concentration-area value.

[0019] Furthermore, the data analysis module is also used to determine the reason why the park's carbon emissions do not meet the standards based on the upstream concentration area value, and the instruction generation module determines to issue a notification of excessive carbon emissions from the park, or the data analysis module determines the reason why the park's carbon emissions do not meet the standards based on the wind speed; wherein the upstream concentration area value is the concentration area value of the historical concentration area value in the previous cycle of the current cycle.

[0020] Furthermore, the data analysis module is also used to determine the reason why the park's carbon emissions do not meet the standards based on the wind speed, and the instruction generation module determines to issue a notification of excessive carbon emissions from the park, or the instruction generation module determines to correct the average gas concentration based on the wind speed.

[0021] Furthermore, the command control module is further configured to increase the average gas concentration based on the wind speed, and the increase in the average gas concentration is proportional to the wind speed.

[0022] Furthermore, the instruction control module is also used to reduce the gas concentration screening standard of the gas concentration data based on the concentration-area value difference ratio, and the reduction amplitude of the gas concentration screening standard is inversely proportional to the concentration-area value difference ratio; wherein, the concentration-area value difference ratio is the ratio of the second preset concentration-area value difference to the concentration-area value difference.

[0023] Compared with the prior art, the beneficial effect of the present invention lies in that the present invention sets a data analysis module, an instruction generation module and an instruction control module. The data analysis module determines whether the carbon emissions of the park meet the standards based on the gas concentration, and can timely and accurately complete the determination of whether the carbon emissions of the park meet the standards, effectively realizing real-time monitoring of the carbon emission data of the park. The data analysis module determines the reason why the carbon emissions of the park do not meet the standards based on the gas concentration. The instruction generation module generates corresponding processing instructions based on the reason for not meeting the standards. The instruction control module is used to redetermine the preset concentration area value based on the received processing instructions, or redetermine the gas concentration average value, or redetermine the gas concentration screening standard, or issue corresponding notifications, effectively realizing real-time adjustment of the system based on real-time monitoring data, while effectively ensuring the determination accuracy of the system, and effectively improving the system's monitoring efficiency for carbon emissions.

[0024] Furthermore, the data analysis module provided in the present invention is used to determine whether the carbon emissions of the park meet the standards based on the concentration area value, and to perform overall monitoring of the gas concentrations in different collection areas to accurately determine whether the carbon emissions of the park meet the standards. While further ensuring the determination accuracy of the system, it further improves the system's monitoring efficiency for carbon emissions.

[0025] Furthermore, the data analysis module provided in the present invention is also used to determine whether the carbon emissions of the park meet the standards based on the node slope variance, effectively avoiding the misjudgment between whether the carbon emissions of the park meet the standards or not, while further ensuring the judgment accuracy of the system, and further improving the system's monitoring efficiency for carbon emissions.

[0026] Furthermore, the instruction control module provided in the present invention is used to increase the preset concentration area value based on the node slope variance difference when the instruction generation module determines to correct the preset concentration area value based on the node slope variance, further realizing real-time adjustment of the system based on real-time monitoring data, avoiding the occurrence of misjudgment caused by the preset concentration area value not meeting the standard, while further ensuring the judgment accuracy of the system, and further improving the system's monitoring efficiency for carbon emissions.

[0027] Furthermore, the instruction control module provided in the present invention is used to reduce the preset concentration area value based on the rainfall after the preset concentration area value increases, further realizing real-time adjustment of the system based on real-time monitoring data, and further correcting the preset concentration area value according to environmental information, while further ensuring the judgment accuracy of the system, further improving the system's monitoring efficiency for carbon emissions.

[0028] Furthermore, the data analysis module provided in the present invention is also used to determine the reason why the carbon emissions of the park do not meet the standards based on the difference in concentration area values. It can timely and accurately determine the reason why the carbon emissions of the park do not meet the standards, while further ensuring the judgment accuracy of the system, and further improving the system's monitoring efficiency for carbon emissions.

[0029] Furthermore, the data analysis module provided in the present invention is also used to determine the reason why the carbon emissions of the park do not meet the standards based on the upstream concentration area value, and quickly determine whether the carbon emissions of the park need to issue a carbon emission excess notification. While further ensuring the judgment accuracy of the system, it further improves the system's monitoring efficiency for carbon emissions.

[0030] Furthermore, the data analysis module provided in the present invention is also used to determine the reason why the carbon emissions of the park do not meet the standards based on the wind speed, to determine whether the carbon emissions of the park exceed the standards based on environmental information, and to determine whether the average gas concentration needs to be corrected, thereby further realizing real-time adjustment of the system based on real-time monitoring data, while further ensuring the determination accuracy of the system, and further improving the system's monitoring efficiency for carbon emissions.

[0031] Furthermore, the command control module provided in the present invention is also used to increase the average gas concentration based on the wind speed, effectively avoiding the situation where the average gas concentration caused by the wind speed is lower than the actual gas concentration average, while further ensuring the judgment accuracy of the system, and further improving the system's monitoring efficiency for carbon emissions.

[0032] Furthermore, the instruction control module provided in the present invention is also used to reduce the gas concentration screening standard of the gas concentration data based on the concentration area value difference ratio, further realizing real-time adjustment of the system based on real-time monitoring data, ensuring the accuracy of the screening of the gas concentration data, and further improving the system's monitoring efficiency for carbon emissions while further ensuring the system's judgment accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 This is a structural block diagram of a carbon emission management system based on big data processing according to an embodiment of the present invention;

[0034] Figure 2This is a workflow diagram of a carbon emission management system based on big data processing according to an embodiment of the present invention;

[0035] Figure 3 This is a flow chart of an embodiment of the present invention for determining whether a park's carbon emissions meet standards;

[0036] Figure 4 This is a flowchart of an embodiment of the present invention for determining why a park's carbon emissions do not meet standards. DETAILED DESCRIPTION

[0037] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0038] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0039] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0040] See also Figure 1 As shown in FIG, it is a structural block diagram of a carbon emission management system based on big data processing according to an embodiment of the present invention. The system according to the embodiment of the present invention includes a data acquisition module, an environmental monitoring module, a data processing module, a data transmission module, a data analysis module, an instruction generation module, and an instruction control module; wherein:

[0041] The data acquisition module includes several monitoring sensors for periodically collecting gas concentrations in corresponding areas around the park;

[0042] The environmental monitoring module is connected to the data acquisition module to collect environmental information around the park, including wind speed and rainfall;

[0043] The data processing module is connected to the environmental monitoring module and is used to clean, reduce noise and screen the data corresponding to the gas concentration, the wind speed and the rainfall to remove abnormal data;

[0044] The data transmission module is connected to the data processing module to organize and transmit the processed data;

[0045] The data analysis module is connected to the data transmission module and is used to determine whether the carbon emissions of the park meet the standards based on the gas concentration, and to determine the reason why the carbon emissions of the park do not meet the standards based on the gas concentration;

[0046] The instruction generation module is connected to the data analysis module and is used to generate corresponding processing instructions based on the reasons for not meeting the standards;

[0047] The instruction control module is connected to the data processing module, the data analysis module and the instruction generation module respectively, and is used to redetermine the preset concentration area value, or redetermine the gas concentration average value, or redetermine the gas concentration screening standard based on the received processing instruction, or issue a corresponding notification;

[0048] Specifically, the data acquisition module includes several monitoring sensors divided into a first acquisition group, a second acquisition group and a third acquisition group, which respectively collect gas concentrations in the first acquisition area, the second acquisition area and the third acquisition area corresponding to the periphery of the park;

[0049] The first collection area is a circle with the park as the center and the first distance A as the radius. The second collection area is a ring with the park as the center and the second distance B as the radius, excluding the first collection area. The third collection area is a ring with the park as the center and the third distance F as the radius, excluding the second collection area. The first distance A = 0.3 km, the second distance B = 0.6 km, and the third distance F = 1 km.

[0050] The collection period is 24 hours, the first collection group includes 8 monitoring sensors, the second collection group includes 12 monitoring sensors, and the third collection group includes 16 monitoring sensors. The collection frequency is once per hour.

[0051] At the same time, the environmental monitoring module is arranged in the second collection area to monitor the environmental information;

[0052] The data corresponding to the gas concentration, the wind speed and the rainfall are cleaned, denoised and screened to remove abnormal data. The data are cleaned to remove missing values, duplicate values ​​and logical error values. The cleaned data are denoised to remove noise data. After the data cleaning is completed, screening is performed to remove the gas concentration data outside the range of the gas concentration screening standard U, remove the wind speed data outside the range of the wind speed screening standard X, and remove the rainfall data outside the range of the rainfall screening standard Z, where the gas concentration screening standard U∈[0,600ppm], the wind speed screening standard X∈[0,20.1m / s], and the rainfall screening standard Z∈[0,51.2mm].

[0053] See also Figure 2 As shown, it is a workflow diagram of a carbon emission management system based on big data processing according to an embodiment of the present invention. When the carbon emission management system based on big data processing according to the embodiment of the present invention is in operation, the data acquisition module periodically collects gas concentrations in corresponding areas around the park, the environmental monitoring module collects environmental information around the park, and the environmental information includes wind speed and rainfall. The data processing module cleans, reduces noise, and screens the data corresponding to the gas concentration, wind speed, and rainfall to remove abnormal data. The data transmission module organizes and transmits the processed data. The data analysis module determines whether the carbon emissions of the park meet the standards based on the gas concentration, and determines the reasons why the carbon emissions of the park do not meet the standards based on the gas concentration. The instruction generation module generates corresponding processing instructions based on the reasons for not meeting the standards. The instruction control module redetermines the preset concentration area value, or redetermines the gas concentration average value, or redetermines the gas concentration screening standard, or issues a corresponding notification based on the received processing instructions.

[0054] See also Figure 3 As shown in FIG, it is a flow chart of determining whether the carbon emissions of a park meet the standards according to an embodiment of the present invention. The data analysis module of the embodiment of the present invention is used to determine whether the carbon emissions of the park meet the standards based on the concentration area value, wherein the concentration area value is the area value of the distance-gas concentration average value curve within the period, and the gas concentration average value is the average value of the gas concentrations in each collection area:

[0055] If the concentration-area value is less than the first preset concentration-area value S1 set in the data analysis module, the data analysis module determines that the carbon emissions of the park meet the standards, completes the periodic determination of the carbon emissions of the park, and determines whether the carbon emissions of the park meet the standards in the next period. In this embodiment, the first preset concentration-area value S1=1287;

[0056] If the concentration area value is greater than or equal to the first preset concentration area value S1 and less than the second preset concentration area value S2 set in the data analysis module, the data analysis module determines that the carbon emissions of the park do not meet the standard, and determines whether the carbon emissions of the park meet the standard based on the variance of the slope at each node in the distance-gas concentration average value curve. In this embodiment, the second preset concentration area value S2=1440;

[0057] If the concentration area value is greater than or equal to the second preset concentration area value S2, the data analysis module determines that the carbon emissions of the park do not meet the standards, and determines the reason why the carbon emissions of the park do not meet the standards based on the concentration area value.

[0058] Please continue reading Figure 3 As shown, the data analysis module of the embodiment of the present invention is further used to determine whether the carbon emissions of the park meet the standards based on the node slope variance, wherein the node slope variance is the variance of the absolute value of the slope connecting two adjacent nodes in the distance-gas concentration average curve:

[0059] If the node slope variance is greater than the preset node slope variance C set in the data analysis module, the data analysis module determines that the carbon emissions of the park meet the standards, and the instruction generation module determines to correct the preset concentration area value based on the node slope variance, wherein the preset node slope variance C in this embodiment is 6.25;

[0060] If the node slope variance is less than or equal to the preset node slope variance C, the data analysis module determines that the gas dissipation does not meet the standard and the carbon emissions of the park do not meet the standard, and determines the reason why the carbon emissions of the park do not meet the standard based on the concentration area value.

[0061] Please continue reading Figure 3 As shown, the instruction control module of the embodiment of the present invention is used to increase the preset concentration area value based on the node slope variance difference, wherein the node slope variance difference is the difference between the node slope variance and the preset node slope variance:

[0062] If the node slope variance difference is greater than the second preset node slope variance difference ΔD2 set in the data analysis module, the instruction control module increases the preset concentration area value to 1.26 times the initial preset concentration area value, wherein the second preset node slope variance difference ΔD2 in this embodiment is 13.2;

[0063] If the node slope variance difference is less than or equal to the second preset node slope variance difference ΔD2 and greater than the first preset node slope variance difference ΔD1 set in the data analysis module, the instruction control module increases the preset concentration area value to 1.19 times the initial preset concentration area value, wherein the first preset node slope variance difference ΔD1 in this embodiment is 5.7;

[0064] If the node slope variance difference is less than or equal to the first preset node slope variance difference ΔD1, the instructing control module to increase the preset concentration area value to 1.07 times the initial preset concentration area value.

[0065] Please continue reading Figure 3 As shown, the instruction control module of the embodiment of the present invention is used to reduce the preset concentration area value based on the rainfall after the preset concentration area value increases:

[0066] If the rainfall is greater than the second preset rainfall amount Q2 set in the data analysis module, the instruction control module reduces the preset concentration area value to 0.955 times the increased preset concentration area value, wherein the second preset rainfall amount Q2 in this embodiment is 10.6 mm;

[0067] If the rainfall is less than or equal to the second preset rainfall amount Q2 and greater than the first preset rainfall amount Q1 set in the data analysis module, the instruction control module reduces the preset concentration area value to 0.973 times the increased preset concentration area value, wherein the first preset rainfall amount Q1 in this embodiment is 6.7 mm;

[0068] If the rainfall is less than or equal to the first preset rainfall Q1 and greater than zero, the instruction control module reduces the preset concentration area value to 0.989 times the increased preset concentration area value.

[0069] See also Figure 4 As shown, it is a flow chart of determining the reason why the carbon emissions of a park do not meet the standards according to an embodiment of the present invention. The data analysis module of the embodiment of the present invention is also used to determine the reason why the carbon emissions of the park do not meet the standards based on the concentration-area value difference, wherein the concentration-area value difference is the difference between the concentration-area value and the second preset concentration-area value:

[0070] If the concentration-area value difference is less than or equal to a first preset concentration-area value difference ΔN1 set in the data analysis module, the data analysis module determines the reason why the carbon emissions of the park do not meet the standards based on the historical concentration-area values, wherein the first preset concentration-area value difference ΔN1 in this embodiment is 118;

[0071] If the concentration-area value difference is greater than the first preset concentration-area value difference ΔN1 and less than or equal to the second preset concentration-area value difference ΔN2 set in the data analysis module, the data analysis module determines the reason why the carbon emissions of the park do not meet the standard based on the wind speed, wherein the second preset concentration-area value difference ΔN2 in this embodiment is 962;

[0072] If the concentration-area value difference is greater than the second preset concentration-area value difference △N2, the data analysis module determines that the reason why the park's carbon emissions do not meet the standards is that the data processing does not meet the standards, and the instruction generation module determines the gas concentration screening standard based on the concentration-area value difference to correct the gas concentration data.

[0073] Please continue reading Figure 4 As shown, the data analysis module of the embodiment of the present invention is further used to determine the reason why the carbon emissions of the park do not meet the standards based on the upstream concentration area value, wherein the upstream concentration area value is the concentration area value of the previous cycle of the current cycle among the historical concentration area values:

[0074] If the upstream concentration area value is less than or equal to the concentration area value, the data analysis module determines that the gas concentration of the carbon emissions of the park does not meet the standard, and the instruction generation module determines to issue a notification of excessive carbon emissions in the park;

[0075] If the upstream concentration area value is greater than the concentration area value, the data analysis module determines the reason why the carbon emissions of the park do not meet the standards based on the wind speed.

[0076] Please continue reading Figure 4 As shown, the data analysis module in this embodiment of the present invention is further used to determine the reason why the carbon emissions of the park do not meet the standards based on the wind speed:

[0077] If the wind speed is less than or equal to the preset wind speed V set in the data analysis module, the data analysis module determines that the gas concentration of the carbon emissions of the park does not meet the standard, and the instruction generation module determines that it issues a notification of excessive carbon emissions from the park. In this embodiment, the preset wind speed V=5.6 m / s;

[0078] If the wind speed is greater than the preset wind speed V, the data analysis module determines that the average gas concentration does not meet the standard, and the instruction generation module determines to correct the average gas concentration based on the wind speed.

[0079] Please continue reading Figure 4 As shown, the command control module in the embodiment of the present invention is further configured to increase the average gas concentration based on the wind speed:

[0080] If the wind speed is less than or equal to the first preset wind speed B1 set in the data analysis module, the command control module increases the average gas concentration to 1.038 times the initial gas concentration average, wherein the first preset wind speed B1 in this embodiment is 7.1 m / s;

[0081] If the wind speed is greater than the first preset wind speed B1 and less than or equal to the second preset wind speed B2 set in the data analysis module, the command control module increases the average gas concentration to 1.065 times the initial gas concentration average, where the second preset wind speed B2 in this embodiment is 10.9 m / s;

[0082] If the wind speed is greater than the second preset wind speed B2, the instructing control module to increase the average gas concentration to 1.099 times the initial average gas concentration.

[0083] Please continue reading Figure 4 As shown, the instruction control module of the embodiment of the present invention is further used to reduce the gas concentration screening standard of the gas concentration data based on the concentration-area value difference ratio, wherein the concentration-area value difference ratio is the ratio of the second preset concentration-area value difference to the concentration-area value difference:

[0084] If the concentration-area value difference ratio is greater than the second preset concentration-area value difference ratio R2 set in the data analysis module, the instruction control module reduces the gas concentration screening standard to 0.96 times the initial gas concentration screening standard, wherein the second preset concentration-area value difference ratio R2 in this embodiment is 69.8%;

[0085] If the concentration-area value difference ratio is less than or equal to the second preset concentration-area value difference ratio R2 and greater than the first preset concentration-area value difference ratio R1 set in the data analysis module, the instruction control module reduces the gas concentration screening standard to 0.93 times the initial gas concentration screening standard, wherein the first preset concentration-area value difference ratio R1 in this embodiment is 36.4%;

[0086] If the concentration-area value difference ratio is less than or equal to the first preset concentration-area value difference ratio R1, the instructing control module to reduce the gas concentration screening standard to 0.89 times the initial gas concentration screening standard.

[0087] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0088] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that the present invention is susceptible to various modifications and variations. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. A carbon emission management system based on big data processing, characterized in that: include: The data acquisition module includes several monitoring sensors to periodically collect gas concentrations in corresponding areas around the park; An environmental monitoring module, connected to the data acquisition module, for collecting environmental information around the park, including wind speed and rainfall; a data processing module connected to the environmental monitoring module, configured to clean, reduce noise, and screen the data corresponding to the gas concentration, wind speed, and rainfall to remove abnormal data; A data transmission module, connected to the data processing module, for collating and transmitting the processed data; a data analysis module connected to the data transmission module, configured to determine whether the carbon emissions of the park meet the standards based on the gas concentration, and to determine the reasons why the carbon emissions of the park do not meet the standards based on the gas concentration; an instruction generation module connected to the data analysis module, for generating corresponding processing instructions based on the reasons for not meeting the standards; An instruction control module is respectively connected to the data processing module, the data analysis module and the instruction generation module, and is used to redetermine the preset concentration area value, or redetermine the gas concentration average value, or redetermine the gas concentration screening standard, or issue a corresponding notification based on the received processing instructions.

2. The carbon emission management system based on big data processing according to claim 1 is characterized in that: The data analysis module is used to determine whether the carbon emissions of the park meet the standards based on the concentration-area value, and, when it is determined that the carbon emissions of the park do not meet the standards, determine whether the carbon emissions of the park meet the standards based on the variance of the slope at each node in the distance-gas concentration average value curve, or determine the reason why the carbon emissions of the park do not meet the standards based on the concentration-area value; wherein the concentration-area value is the area value of the distance-gas concentration average value curve within the period, and the gas concentration average value is the average value of each of the gas concentrations in each collection area.

3. The carbon emission management system based on big data processing according to claim 2 is characterized in that: The data analysis module is also used to determine whether the carbon emissions of the park meet the standards based on the node slope variance, and the instruction generation module determines to correct the preset concentration area value based on the node slope variance, or the data analysis module determines the reason why the carbon emissions of the park do not meet the standards based on the concentration area value; wherein the node slope variance is the variance of the absolute value of the slope connecting two adjacent nodes in the distance-gas concentration average value curve.

4. The carbon emission management system based on big data processing according to claim 3 is characterized in that: The instruction control module is used to increase the preset concentration area value based on the node slope variance difference, and the increase in the preset concentration area value is proportional to the node slope variance difference; wherein the node slope variance difference is the difference between the node slope variance and the preset node slope variance.

5. The carbon emission management system based on big data processing according to claim 4 is characterized in that: The command control module is configured to reduce the preset concentration area value based on the rainfall after the preset concentration area value increases, and the reduction range of the preset concentration area value is proportional to the rainfall.

6. The carbon emission management system based on big data processing according to claim 3 is characterized in that: The data analysis module is also used to determine the reason why the park's carbon emissions do not meet the standards based on the concentration-area value difference, and to generate corresponding processing instructions based on the determined reasons, including: the data analysis module determines the reason why the park's carbon emissions do not meet the standards based on the historical concentration-area values, the data analysis module determines the reason why the park's carbon emissions do not meet the standards based on the wind speed, or the instruction generation module determines the gas concentration screening standard based on the concentration-area value difference to correct the gas concentration data; wherein the concentration-area value difference is the difference between the concentration-area value and the second preset concentration-area value.

7. The carbon emission management system based on big data processing according to claim 6 is characterized in that: The data analysis module is also used to determine the reason why the park's carbon emissions do not meet the standards based on the upstream concentration area value, and the instruction generation module determines to issue a notification that the park's carbon emissions exceed the standard, or the data analysis module determines the reason why the park's carbon emissions do not meet the standards based on the wind speed; wherein the upstream concentration area value is the concentration area value of the historical concentration area value in the previous cycle of the current cycle.

8. The carbon emission management system based on big data processing according to claim 7 is characterized in that: The data analysis module is also used to determine the reason why the park's carbon emissions do not meet the standards based on the wind speed, and the instruction generation module determines to issue a notice of excessive carbon emissions from the park, or the instruction generation module determines to correct the average gas concentration based on the wind speed.

9. The carbon emission management system based on big data processing according to claim 8 is characterized in that: The command control module is further configured to increase the average gas concentration based on the wind speed, and the increase in the average gas concentration is proportional to the wind speed.

10. The carbon emission management system based on big data processing according to claim 6 is characterized in that: The instruction control module is also used to reduce the gas concentration screening standard of the gas concentration data based on the concentration-area value difference ratio, and the reduction amplitude of the gas concentration screening standard is inversely proportional to the concentration-area value difference ratio; wherein the concentration-area value difference ratio is the ratio of a second preset concentration-area value difference to the concentration-area value difference.

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