Carbon emission intelligent supervision system based on data analysis

Abstract

The invention relates to the technical field of carbon emission supervision, in particular to an intelligent carbon emission supervision system based on data analysis, which comprises a carbon emission management platform, a database, a measurement interference analysis unit, a regional emission supervision unit, a regional trend division unit, a regional optimization evaluation unit and a carbon emission display unit. The environmental interference information of the target monitoring area is preliminarily analyzed so as to eliminate the influence of environmental factors on carbon emission supervision, regional carbon emission safety supervision analysis is performed on the carbon emission information in an information feedback manner, each region block is divided according to the carbon emission information, and the carbon emission safety supervision analysis is performed on the carbon emission information. In this way, the carbon emission condition of each area block is reasonably managed, the carbon emission condition of each sub-area block is visually and accurately known, and at the same time, whether the carbon emission management scheme of the target monitoring area needs to be adjusted is analyzed from the angle of area change, so that the carbon emission of the target monitoring area is reduced. And thus, the environment quality of the target monitoring area can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon emission supervision, and in particular to an intelligent carbon emission supervision system based on data analysis. Background Art

[0002] At present, automatic monitoring of carbon emissions is the primary and most important link in the carbon emission optimization system. In the carbon emission optimization system, timely and accurate measurement of carbon emission data can optimize carbon emissions in a targeted manner. Automatic monitoring of carbon emissions can be carried out using remote sensing satellites or ground monitoring stations. However, in the prior art, the lack of influence on the ambient airflow during the carbon emission supervision process in the target monitoring area leads to a large deviation in the carbon emission supervision analysis results in the target monitoring area, which is not conducive to the reasonable and targeted management of each area. At the same time, it is impossible to optimize the reasonable management plan for the carbon emission changes in the sub-area, which leads to an increase in the environmental quality risk of the target monitoring area. In view of the above technical defects, a solution is now proposed. Summary of the invention

[0003] The purpose of the present invention is to provide an intelligent carbon emission supervision system based on data analysis to solve the technical defects mentioned above. The present invention preliminarily analyzes the environmental interference information of the target monitoring area to determine whether the environment of the area interferes with carbon emission supervision, so as to eliminate the influence of environmental factors on carbon emission supervision. The carbon emission information is analyzed for regional carbon emission safety supervision through information feedback, and each regional block is divided according to the carbon emission information, so as to rationally manage and feedback the carbon emission situation of each regional block, and further dynamically analyze the carbon emissions of the regional blocks that have not exceeded the standard, so as to intuitively and accurately understand the carbon emission situation of each sub-regional block. At the same time, from the perspective of regional changes, whether the carbon emission management plan of the target monitoring area needs to be adjusted is analyzed, so that rational adjustments can be made according to the information feedback to reduce the carbon emissions in the target monitoring area, thereby helping to improve the environmental quality of the target monitoring area.

[0004] The object of the present invention can be achieved by the following technical solutions: a carbon emission intelligent supervision system based on data analysis, comprising a carbon emission management platform, a database, a determination interference analysis unit, a regional emission supervision unit, a regional trend division unit, a regional optimization evaluation unit and a carbon emission display unit; The carbon emission management platform is used to retrieve environmental interference information of the target monitoring area from the database and send the environmental interference information to the interference analysis unit; After receiving the environmental interference information, the measurement interference analysis unit immediately performs regional carbon emission supervision interference assessment analysis on the environmental interference information, performs discrimination processing on the obtained collection interference duration, and obtains a measurement signal or an interference signal; The regional emission supervision unit responds to the measurement signal and collects carbon emission information of each sub-area in the target monitoring area, and immediately performs regional carbon emission safety supervision analysis on the carbon emission information to obtain an over-standard area block and a non-over-standard area block; The regional trend division unit is used to collect the carbon emissions of the time period of the regional blocks that have not exceeded the standard, and perform a regional time period dynamic division operation on the carbon emissions of the time period to obtain the regional blocks that are about to exceed the standard and the low emission regional blocks; The regional optimization and evaluation unit is used to perform regional carbon emission management and control analysis on the areas that exceed the standard and the areas that are about to exceed the standard, and to perform comparative discrimination processing on the year-on-year floating index to obtain a control signal.

[0005] Preferably, the regional carbon emission regulatory interference assessment analysis process of the interference analysis unit is as follows: Set a monitoring period and set it as a time threshold to obtain environmental interference information of the target monitoring area within the time threshold, the environmental interference information including the actual wind force level and the actual carbon gas moving speed; A comparison and analysis is performed on the actual wind force level and the actual carbon gas movement speed. If the actual wind force level is greater than or equal to the preset actual wind force level threshold, or the actual carbon gas movement speed is greater than or equal to the preset actual carbon gas movement speed threshold, the total time corresponding to the actual wind force level being greater than or equal to the preset actual wind force level threshold, or the actual carbon gas movement speed being greater than or equal to the preset actual carbon gas movement speed threshold is obtained, and it is set as the collection interference time, and the collection interference time is judged and processed to generate a measurement signal or an interference signal.

[0006] Preferably, the regional carbon emission safety supervision analysis process of the regional emission supervision unit is as follows: The target monitoring area is divided into i sub-region blocks, where i is a natural number greater than zero, and the carbon emission information of each sub-region block within the time threshold is obtained. The carbon emission information includes the carbon emission amount and the duration of carbon emission exceeding the standard; A comparative analysis is performed on the carbon emissions and the duration of carbon emissions exceeding the standard. If the carbon emissions are greater than or equal to the preset carbon emissions threshold, or the duration of carbon emissions exceeding the standard is greater than or equal to the preset carbon emissions exceeding standard duration threshold, the corresponding sub-regional block is determined to be an exceeding standard region block; if the carbon emissions are less than the preset carbon emissions threshold, and the duration of carbon emissions exceeding the standard is less than the preset carbon emissions exceeding standard duration threshold, the corresponding sub-regional block is determined to be a non-exceeding region block.

[0007] Preferably, the regional time period dynamic division operation process of the regional trend division unit is as follows: The time threshold is divided into g sub-time periods, where g is a natural number greater than zero. The carbon emissions of the non-exceeding area blocks in each sub-time period are obtained. A rectangular coordinate system is established with the number of sub-time periods as the X-axis and the carbon emissions of the time period as the Y-axis. The carbon emissions curve of the time period is drawn by plotting points. A carbon emission curve for a preset period is drawn in the coordinate system, and the area of ​​a region enclosed by a line segment of the carbon emission curve for the period located above the carbon emission curve for the preset period and the carbon emission curve for the preset period is obtained, and the area is set as a regional evaluation index.

[0008] Preferably, the regional evaluation index is subjected to a discriminant process: If the regional assessment index is greater than or equal to the preset regional assessment index threshold, the corresponding non-exceeding regional block is determined as the exceeding regional block; If the regional assessment index is less than the preset regional assessment index threshold, the corresponding non-exceeding regional block is determined to be a low-emission regional block.

[0009] Preferably, the regional carbon emission management regulation and analysis process of the regional optimization assessment unit is as follows: The total number of area blocks that exceed the standard and the area blocks that are about to exceed is obtained, and the number of low-emission area blocks is obtained. At the same time, the year-on-year growth rate of the total number of area blocks that exceed the standard and the area blocks that are about to exceed relative to the total number of area blocks that exceed the standard and the area blocks that are about to exceed within a historical time threshold is obtained, and the year-on-year growth rate of the total number of area blocks that exceed the standard and the area blocks that are about to exceed relative to the total number of area blocks that exceed the standard and the area blocks that are about to exceed within a historical time threshold is set as the year-on-year floating index.

[0010] Preferably, the year-on-year floating index is subjected to a discriminant process: If the YoY floating index is less than the preset YoY floating index threshold, no signal is generated; If the year-on-year floating index is greater than or equal to the preset year-on-year floating index threshold, a control signal is generated.

[0011] The beneficial effects of the present invention are as follows: The present invention preliminarily analyzes the environmental interference information of the target monitoring area to determine whether the regional environment interferes with carbon emission supervision, so as to eliminate the influence of environmental factors on carbon emission supervision, and conducts regional carbon emission safety supervision analysis on carbon emission information by means of information feedback, and divides each regional block according to the carbon emission information, so as to carry out rational management and feedback on the carbon emission situation of each regional block; The present invention further conducts a dynamic analysis of the carbon emissions of the regional blocks that have not exceeded the standard, so as to intuitively and accurately understand the carbon emissions of each sub-regional block, and at the same time analyzes whether the carbon emission management plan of the target monitoring area needs to be adjusted from the perspective of regional changes, so as to make reasonable adjustments based on the information feedback to reduce the carbon emissions in the target monitoring area, thereby helping to improve the environmental quality of the target monitoring area. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] The present invention will be further described below in conjunction with the accompanying drawings; Figure 1 It is a flowchart of the system of the present invention; Figure 2 It is a local analysis reference diagram of the present invention. DETAILED DESCRIPTION

[0013] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0014] Embodiment 1 See also Figure 1 to Figure 2 As shown, the present invention is a carbon emission intelligent supervision system based on data analysis, including a carbon emission management platform, a database, a measurement interference analysis unit, a regional emission supervision unit, a regional trend division unit, a regional optimization evaluation unit and a carbon emission display unit, the database is connected to the carbon emission management platform in a one-way communication, the carbon emission management platform is connected to the measurement interference analysis unit in a one-way communication, the measurement interference analysis unit is connected to the regional emission supervision unit and the carbon emission display unit in a one-way communication, the regional emission supervision unit is connected to the regional trend division unit in a one-way communication, the regional trend division unit is connected to the regional optimization evaluation unit and the carbon emission display unit in a one-way communication, and the regional optimization evaluation unit is connected to the carbon emission display unit in a one-way communication; The carbon emission management platform is used to retrieve the environmental interference information of the target monitoring area from the database and send the environmental interference information to the interference measurement analysis unit. After receiving the environmental interference information, the interference measurement analysis unit immediately conducts regional carbon emission regulation interference assessment analysis on the environmental interference information to determine whether the environment of each sub-region block interferes with carbon emission regulation, so as to eliminate the impact of environmental factors on carbon emission regulation. The specific regional carbon emission regulation interference assessment analysis process is as follows: Set a monitoring period and set it as a time threshold to obtain environmental interference information of the target monitoring area within the time threshold, the environmental interference information including the actual wind force level and the actual carbon gas moving speed; The actual wind force level and the actual carbon gas moving speed are compared and analyzed. If the actual wind force level is greater than or equal to the preset actual wind force level threshold, or the actual carbon gas moving speed is greater than or equal to the preset actual carbon gas moving speed threshold, the total time corresponding to the actual wind force level being greater than or equal to the preset actual wind force level threshold, or the actual carbon gas moving speed being greater than or equal to the preset actual carbon gas moving speed threshold is obtained, and it is set as the collection interference time, and the collection interference time is judged and processed: If the acquisition interference duration is less than a preset acquisition interference duration threshold, a measurement signal is generated; If the collection interference duration is greater than or equal to the preset collection interference duration threshold, an interference signal is generated and sent to the carbon emission display unit. After receiving the interference signal, the carbon emission display unit immediately displays the preset warning text corresponding to the interference signal to understand whether the current carbon emission regulation period is affected by wind power, so as to eliminate the impact of environmental factors on carbon emission regulation, which is helpful to reasonably match the supervision plan and the interference impact weight; When the measurement signal is generated, the regional emission supervision unit responds to the measurement signal and collects the carbon emission information of each sub-region in the target monitoring area, immediately performs regional carbon emission safety supervision analysis on the carbon emission information, and divides each sub-region block according to the carbon emission information, so as to rationally manage and feedback the carbon emission situation of each sub-region block. The specific regional carbon emission safety supervision analysis process is as follows: The target monitoring area is divided into i sub-region blocks, where i is a natural number greater than zero, and the carbon emission information of each sub-region block within the time threshold is obtained. The carbon emission information includes the carbon emission amount and the duration of carbon emission exceeding the standard; In the embodiment of the present invention, the carbon emission exceeding standard duration refers to the duration corresponding to the carbon emission exceeding the preset carbon emission threshold. It should be noted that the analysis is performed from the perspective of carbon emission to understand the risk situation of carbon emission in the current region; A comparative analysis is performed on the carbon emissions and the duration of carbon emissions exceeding the standard. If the carbon emissions are greater than or equal to the preset carbon emissions threshold, or the duration of carbon emissions exceeding the standard is greater than or equal to the preset carbon emissions exceeding standard duration threshold, the corresponding sub-regional block is determined to be an exceeding standard region block; if the carbon emissions are less than the preset carbon emissions threshold, and the duration of carbon emissions exceeding the standard is less than the preset carbon emissions exceeding standard duration threshold, the corresponding sub-regional block is determined to be a non-exceeding region block.

[0015] Embodiment 2 The regional trend division unit is used to collect the carbon emissions of the regional blocks that have not exceeded the standard, and to dynamically divide the carbon emissions of the regional blocks into regional time periods, and further analyze the dynamic analysis of carbon emissions of the regional blocks that have not exceeded the standard, so as to provide data support for subsequent management and improve the carbon emission management efficiency of each sub-regional block. The specific regional time period dynamic division operation process is as follows: The time threshold is divided into g sub-time periods, where g is a natural number greater than zero. The carbon emissions of the non-exceeding area blocks in each sub-time period are obtained. A rectangular coordinate system is established with the number of sub-time periods as the X-axis and the carbon emissions of the time period as the Y-axis. The carbon emissions curve of the time period is drawn by plotting points. Draw the carbon emission curve for the preset period in the coordinate system, obtain the area of ​​the region enclosed by the line segment of the carbon emission curve for the period located above the carbon emission curve for the preset period and the carbon emission curve for the preset period, set it as the regional evaluation index, and perform discrimination processing on the regional evaluation index: If the regional assessment index is greater than or equal to the preset regional assessment index threshold, the corresponding non-exceeding regional block is determined as the exceeding regional block; If the regional assessment index is less than the preset regional assessment index threshold, the corresponding non-exceeding regional block is determined to be a low-emission regional block, and the exceeding regional block, the exceeding regional block and the low-emission regional block are sent to the carbon emission display unit. After receiving the exceeding regional block, the exceeding regional block and the low-emission regional block, the carbon emission display unit immediately displays the preset warning texts of the exceeding regional block, the exceeding regional block and the low-emission regional block on the corresponding sub-regional block, so as to intuitively understand the carbon emission situation of each sub-regional block, so as to manage it reasonably; In the embodiment of the present invention, the carbon emission amount in a time period represents the total carbon emission amount of the area block that does not exceed the standard in the sub-time period; The regional optimization assessment unit is used to conduct regional carbon emission management and regulation analysis on the over-standard area blocks and the area blocks that are about to exceed the standard, so as to analyze whether the carbon emission management plan of the target monitoring area needs to be adjusted from the perspective of regional changes, so as to make reasonable adjustments based on the information feedback to reduce the carbon emissions in the target monitoring area, thereby helping to improve the environmental quality of the target monitoring area. The specific regional carbon emission management and regulation analysis process is as follows: The total number of area blocks that exceed the standard and the area blocks that are to be exceeded is obtained, and the number of low-emission area blocks is obtained. At the same time, the year-on-year growth rate of the total number of area blocks that exceed the standard and the area blocks that are to be exceeded relative to the total number of area blocks that exceed the standard and the area blocks that are to be exceeded within a historical time threshold is obtained, and the year-on-year growth rate of the total number of area blocks that exceed the standard and the area blocks that are to be exceeded relative to the total number of area blocks that exceed the standard and the area blocks that are to be exceeded within a historical time threshold is set as the year-on-year floating index, and the year-on-year floating index is discriminated: If the YoY floating index is less than the preset YoY floating index threshold, no signal is generated; If the year-on-year floating index is greater than or equal to the preset year-on-year floating index threshold, a control signal is generated and sent to the carbon emission display unit. After receiving the control signal, the carbon emission display unit immediately displays the preset warning text of the control signal, so as to adjust the carbon emission management plan of the current target monitoring area according to the information feedback, so as to reduce the carbon emissions of the target monitoring area, thereby helping to improve the environmental quality of the target monitoring area; In the embodiment of the present invention, the year-on-year growth rate represents the value obtained by subtracting the total number of regional blocks that exceed the standard and the regional blocks that are to be exceeded from the total number of regional blocks that exceed the standard and the regional blocks that are to be exceeded within a historical time threshold, and then dividing it by the total number of regional blocks that exceed the standard and the regional blocks that are to be exceeded within a historical time threshold. To summarize, the present invention preliminarily analyzes the environmental interference information of the target monitoring area to determine whether the environment of the area interferes with carbon emission regulation, so as to eliminate the impact of environmental factors on carbon emission regulation, and conducts regional carbon emission safety supervision analysis on carbon emission information through information feedback, and divides each regional block according to the carbon emission information, so as to rationally manage and feedback the carbon emissions of each regional block, and further dynamically analyzes the carbon emissions of the regional blocks that have not exceeded the standard, so as to intuitively and accurately understand the carbon emissions of each sub-regional block, and at the same time, analyzes whether the carbon emission management plan of the target monitoring area needs to be adjusted from the perspective of regional changes, so as to make rational adjustments according to the information feedback to reduce the carbon emissions in the target monitoring area, thereby helping to improve the environmental quality of the target monitoring area.

[0016] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0017] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An intelligent carbon emission monitoring system based on data analysis, characterized in that: It includes a carbon emission management platform, a database, a measurement interference analysis unit, a regional emission supervision unit, a regional trend division unit, a regional optimization assessment unit, and a carbon emission display unit; The carbon emission management platform is used to retrieve environmental interference information of the target monitoring area from the database and send the environmental interference information to the interference analysis unit; After receiving the environmental interference information, the measurement interference analysis unit immediately performs regional carbon emission supervision interference assessment analysis on the environmental interference information, performs discrimination processing on the obtained collection interference duration, and obtains a measurement signal or an interference signal; The regional emission supervision unit responds to the measurement signal and collects carbon emission information of each sub-area in the target monitoring area, and immediately performs regional carbon emission safety supervision analysis on the carbon emission information to obtain an over-standard area block and a non-over-standard area block; The regional trend division unit is used to collect the carbon emissions of the time period of the regional blocks that have not exceeded the standard, and perform a regional time period dynamic division operation on the carbon emissions of the time period to obtain the regional blocks that are about to exceed the standard and the low emission regional blocks; The regional optimization and evaluation unit is used to perform regional carbon emission management and control analysis on the areas that exceed the standard and the areas that are about to exceed the standard, and to perform comparative discrimination processing on the year-on-year floating index to obtain a control signal.

2. According to claim 1, a carbon emission intelligent monitoring system based on data analysis is characterized in that: The regional carbon emission regulatory interference assessment analysis process of the interference analysis unit is as follows: Set a monitoring period and set it as a time threshold to obtain environmental interference information of the target monitoring area within the time threshold, the environmental interference information including the actual wind force level and the actual carbon gas moving speed; A comparison and analysis is performed on the actual wind force level and the actual carbon gas movement speed. If the actual wind force level is greater than or equal to the preset actual wind force level threshold, or the actual carbon gas movement speed is greater than or equal to the preset actual carbon gas movement speed threshold, the total time corresponding to the actual wind force level being greater than or equal to the preset actual wind force level threshold, or the actual carbon gas movement speed being greater than or equal to the preset actual carbon gas movement speed threshold is obtained, and it is set as the collection interference time, and the collection interference time is judged and processed to generate a measurement signal or an interference signal.

3. According to claim 1, a carbon emission intelligent monitoring system based on data analysis is characterized in that: The regional carbon emission safety supervision analysis process of the regional emission supervision unit is as follows: The target monitoring area is divided into i sub-region blocks, where i is a natural number greater than zero, and the carbon emission information of each sub-region block within the time threshold is obtained. The carbon emission information includes the carbon emission amount and the duration of carbon emission exceeding the standard; A comparative analysis is performed on the carbon emissions and the duration of carbon emissions exceeding the standard. If the carbon emissions are greater than or equal to the preset carbon emissions threshold, or the duration of carbon emissions exceeding the standard is greater than or equal to the preset carbon emissions exceeding standard duration threshold, the corresponding sub-regional block is determined to be an exceeding standard region block; if the carbon emissions are less than the preset carbon emissions threshold, and the duration of carbon emissions exceeding the standard is less than the preset carbon emissions exceeding standard duration threshold, the corresponding sub-regional block is determined to be a non-exceeding region block.

4. According to claim 3, a carbon emission intelligent monitoring system based on data analysis is characterized in that: The regional time period dynamic division operation process of the regional trend division unit is as follows: The time threshold is divided into g sub-time periods, where g is a natural number greater than zero. The carbon emissions of the non-exceeding area blocks in each sub-time period are obtained. A rectangular coordinate system is established with the number of sub-time periods as the X-axis and the carbon emissions of the time period as the Y-axis. The carbon emissions curve of the time period is drawn by plotting points. A carbon emission curve for a preset period is drawn in the coordinate system, and the area of ​​a region enclosed by a line segment of the carbon emission curve for the period located above the carbon emission curve for the preset period and the carbon emission curve for the preset period is obtained, and the area is set as a regional evaluation index.

5. The intelligent carbon emission monitoring system based on data analysis according to claim 4 is characterized in that: The regional evaluation index is subjected to discriminant processing: If the regional assessment index is greater than or equal to the preset regional assessment index threshold, the corresponding non-exceeding regional block is determined as the exceeding regional block; If the regional assessment index is less than the preset regional assessment index threshold, the corresponding non-exceeding regional block is determined to be a low-emission regional block.

6. The intelligent carbon emission monitoring system based on data analysis according to claim 1 is characterized in that: The regional carbon emission management and regulation analysis process of the regional optimization assessment unit is as follows: The total number of area blocks that exceed the standard and the area blocks that are about to exceed is obtained, and the number of low-emission area blocks is obtained. At the same time, the year-on-year growth rate of the total number of area blocks that exceed the standard and the area blocks that are about to exceed relative to the total number of area blocks that exceed the standard and the area blocks that are about to exceed within a historical time threshold is obtained, and the year-on-year growth rate of the total number of area blocks that exceed the standard and the area blocks that are about to exceed relative to the total number of area blocks that exceed the standard and the area blocks that are about to exceed within a historical time threshold is set as the year-on-year floating index.

7. The intelligent carbon emission monitoring system based on data analysis according to claim 6 is characterized in that: The year-on-year floating index is discriminated: If the YoY floating index is less than the preset YoY floating index threshold, no signal is generated; If the year-on-year floating index is greater than or equal to the preset year-on-year floating index threshold, a control signal is generated.

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