An online monitoring method and system for unorganized carbon emissions in a cement industrial plant area

Abstract

The present invention discloses a method and system for online monitoring of unorganized carbon emissions in a cement industrial plant area, which includes a meteorological information collection module, a carbon gas concentration acquisition module, a three-dimensional finite element fluid simulation module, an information interaction module, and an operation control module. Continuously track the carbon gas and meteorological information in the cement industrial plant area, train a low-frequency trajectory data matching algorithm based on historical wind force-wind direction-carbon emission status information, establish a monitoring model for unorganized carbon emissions in the cement industrial plant area, perform model training by integrating the finite element flow field calculation results, and use the upwind carbon gas concentration acquisition module to calculate the background concentration of environmental carbon emission gases, automatically compensating for and eliminating the influence of environmental carbon content on the monitoring results.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon emission monitoring, and particularly relates to an online monitoring method and system for unorganized carbon emissions in a cement industrial plant area. Background Art

[0002] Carbon monitoring refers to the process of obtaining information on the status and changing trends of carbon sources and sinks, such as greenhouse gas emission intensity, concentration in the environment, ecosystem carbon sinks, and impacts on ecosystems, through means such as comprehensive observation, numerical simulation, and statistical analysis, in order to serve the research and management of climate change.

[0003] As an industry with high carbon emissions, the cement industry is an important application industry for carbon emission monitoring. Carbon emissions in the cement industry are usually carried out between individual equipment or individual enterprises, and then carbon emission data for a plant area is obtained through data statistics. This is a large amount of work, and the data acquisition cycle is long, making it difficult to obtain real-time and reliable carbon emission data for the plant area. Summary of the Invention

[0004] To solve the deficiencies in the prior art, the present invention provides an online monitoring method and system for unorganized carbon emissions in a cement industrial plant area, and its advantage is that it can accurately, effectively, and continuously calculate the carbon emissions within the scope of the cement industrial plant area.

[0005] The technical solution of the present invention is as follows:

[0006] An online monitoring system for unorganized carbon emissions in a cement industrial plant area, characterized in that;

[0007] It includes a meteorological information collection module, a carbon gas concentration acquisition module, a three-dimensional finite element fluid simulation module, an information interaction module, and an operation control module;

[0008] The meteorological information collection module is used to obtain the wind direction and wind force level of the monitored cement industrial plant area;

[0009] The carbon gas concentration acquisition module is used to collect the concentrations of carbon dioxide, nitrous oxide, sulfur hexafluoride, and perfluorocarbon emitted from the cement industrial plant area. The carbon gas concentration acquisition module is arranged around the monitored cement industrial plant area, with the number not less than 6 and arranged in an isosceles polygon;

[0010] The three-dimensional finite element fluid simulation module uses general fluid simulation software to calculate the average concentration of carbon gas in the three-dimensional space of the cement industrial plant area under different wind directions and wind force levels;

[0011] The information interaction module is used for information transmission between the carbon gas concentration acquisition module and the three-dimensional finite element fluid simulation module and the operation control module;

[0012] The operation control module conducts training and calculation of the carbon gas emission model for the cement industrial plant area.

[0013] An online monitoring method for unorganized carbon emissions in a cement industrial plant area, characterized by including the following steps:

[0014] Step 1: Establish a three-dimensional finite element fluid simulation model of the monitored cement industrial plant area using general fluid simulation software;

[0015] Step 2: Obtain the wind direction and wind force level of the monitored cement industrial plant area;

[0016] Step 3: Obtain the carbon gas emission positions and emission amounts in the monitored cement industrial plant area, where the carbon gas emission amount includes the total emission amount and the organized emission amount, then the unorganized emission amount = total emission amount - organized emission amount;

[0017] Step 4: Arrange at least 6 carbon gas concentration acquisition modules around the monitored cement industrial plant area. The carbon gas concentration acquisition modules are arranged in an isosceles polygon, where at least 3 carbon gas concentration acquisition modules are arranged in the upwind position and at least 3 are arranged in the downwind position;

[0018] Step 5: According to Steps 1-3, use the three-dimensional finite element fluid simulation model to calculate the average concentration of carbon gas in the three-dimensional space of the cement industrial plant area under different wind directions and wind force levels;

[0019] Step 6: According to the positions of the carbon gas concentration acquisition modules in Step 4, set the corresponding number of carbon gas concentration acquisition points at the corresponding positions in the three-dimensional finite element fluid simulation model, and obtain the data set of the average carbon gas concentration A1 of the carbon gas concentration acquisition module in the downwind position and the total emission amount M;

[0020] Step 7: Train the low-frequency trajectory data matching algorithm according to the data set obtained in Step 6, and construct an online monitoring model for unorganized carbon emissions in the cement industrial plant area;

[0021] Step 8: Calculate the average carbon gas concentration A2 of the carbon gas concentration acquisition module in the upwind position. This calculated value is the environmental carbon gas content value, and use this calculated value to correct the average carbon gas concentration of the carbon gas concentration acquisition module in the downwind position. The corrected average carbon gas concentration of the carbon gas concentration acquisition module in the downwind position is A3, where A3 = A1 - A2;

[0022] Step 9: According to the corrected average carbon gas concentration A3 of the carbon gas concentration acquisition module in the downwind position, use the online monitoring model for unorganized carbon emissions in the cement industrial plant area constructed in Step 7 to calculate the average carbon gas emission amount of the monitored cement industrial plant area with time t as the standard time period.

[0023] Further, the wind direction of the monitored cement industrial plant area in step 2 refers to the direction from which the wind comes, and is calculated according to eight directions, namely north, northeast, east, southeast, south, southwest, west, and northwest; the wind force level of the monitored cement industrial plant area is 1-12 levels.

[0024] Further, the data set obtained in step 6 should include data of any combination of eight wind directions and 12 wind force levels to ensure the model training effect.

[0025] Further, the standard duration t in step 9 is set to one hour, one day or one month.

[0026] In summary, the beneficial effects of the present invention are as follows: training a low-frequency trajectory data matching algorithm based on historical wind force-wind direction-carbon emission status information, fusing the calculation results of finite element flow fields for model training, and using the upwind carbon gas concentration acquisition module to calculate the background concentration of environmental carbon emission gases, automatically compensating for and eliminating the influence of environmental carbon content on the monitoring results, and being able to accurately, effectively and continuously calculate carbon emissions. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 is a schematic diagram of an on-line monitoring system for unorganized carbon emissions in a cement industrial plant area of the present invention;

[0028] Figure 2 is a flow chart of on-line monitoring of unorganized carbon emissions in a cement industrial plant area of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0029] The following will describe in detail the specific implementation manners of the present invention with reference to the accompanying drawings.

[0030] Example: Refer to Figure 1 , an on-line monitoring system for unorganized carbon emissions in a cement industrial plant area, which includes a meteorological information collection module, a carbon gas concentration collection module, a three-dimensional finite element fluid simulation module, an information interaction module, and an operation control module.

[0031] The meteorological information collection module obtains the wind direction and wind force level of the monitored cement industrial plant area;

[0032] The carbon gas concentration collection module is used to collect the concentrations of carbon dioxide, nitrous oxide, sulfur hexafluoride, and perfluorocarbon emitted from the cement industrial plant area. The carbon gas concentration collection module is arranged around the monitored cement industrial plant area, and the number is not less than 6 and is arranged in an isosceles polygon;

[0033] The three-dimensional finite element fluid simulation module uses general fluid simulation software to calculate the average concentration of carbon gas in the three-dimensional space of the cement industrial plant area under different wind directions and wind force levels; the general fluid simulation software is ANSYS Fluent software;

[0034] Information transfer between the carbon gas concentration acquisition module and the 3D finite element fluid simulation module and the operation control module;

[0035] The operation control module trains and calculates the carbon gas emission model of the cement industrial plant area.

[0036] As Figure 2 shown, an online monitoring method for fugitive carbon emissions in a cement industrial plant area,

[0037] Step 1: Use the 3D finite element fluid simulation module to establish an ANSYS Fluent 3D finite element fluid simulation model of the monitored cement industrial plant area;

[0038] Step 2: Use the meteorological information collection module to obtain the wind direction and wind force level of the monitored cement industrial plant area;

[0039] Step 3: Obtain the carbon gas emission location and emission amount of the monitored cement industrial plant area, where the carbon gas emission amount includes the total emission amount and the organized emission amount, then the fugitive emission amount = total emission amount - organized emission amount;

[0040] Step 4: Arrange 6 carbon gas concentration acquisition modules around the monitored cement industrial plant area. The 6 carbon gas concentration acquisition modules are in an isosceles hexagon shape, with 3 arranged in the upwind position and 3 arranged in the downwind position; (In some other embodiments, the number of carbon gas concentration acquisition modules can be more and arranged in an isosceles polygon shape)

[0041] Step 5: According to Steps 1 - 3, use the ANSYS Fluent 3D finite element fluid simulation model to calculate the average concentration of carbon gas in the 3D space of the cement industrial plant area under different wind directions and wind force levels;

[0042] Step 6: According to the measuring point positions in Step 4, set 6 carbon gas concentration acquisition points at the corresponding positions in the ANSYS Fluent finite element fluid simulation model, and obtain the data set of the average carbon gas concentration A1 of the 3 carbon gas concentration acquisition modules in the downwind position and the total emission amount M;

[0043] Step 7: Train the low - frequency trajectory data matching algorithm according to the data set obtained in Step 6, and construct a monitoring model for fugitive carbon emissions in the cement industrial plant area;

[0044] Step 8: In actual application, calculate the average carbon gas concentration A2 of the 3 carbon gas concentration acquisition modules in the upwind position. This calculated value is the environmental carbon gas content value, then the corrected average carbon gas concentration of the 3 carbon gas concentration acquisition modules in the downwind position is A3, where A3 = A1 - A2;

[0045] Step 9: Based on the average carbon gas concentration A3 of the three downwind carbon gas concentration acquisition modules after correction, use the unorganized carbon emission monitoring model of the cement industrial plant area constructed in Step 7 to calculate the average carbon gas emission of the monitored cement industrial plant area with time t as the standard duration.

[0046] The wind direction of the monitored cement industrial plant area described in Step 2 refers to the direction from which the wind comes, and is calculated according to eight directions, namely north, northeast, east, southeast, south, southwest, west, and northwest; the wind force level of the monitored cement industrial plant area is from level 1 to level 12.

[0047] The data set obtained in Step 6 should include data of any combination of eight wind directions and 12 wind force levels to ensure the model training effect.

[0048] The standard duration t described in Step 9 can be set to one hour, one day, or one month.

[0049] The above are only the preferred embodiments of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the creative concept of the present invention, several modifications and improvements can still be made, and these all belong to the protection scope of the present invention.

Claims

1. An online monitoring method for unorganized carbon emissions in a cement industrial plant area, characterized in that, it includes the following steps: Step 1: Use general fluid simulation software to establish a three-dimensional finite element fluid simulation model of the monitored cement industrial plant area; Step 2: Obtain the wind direction and wind force level of the monitored cement industrial plant area; Step 3: Obtain the carbon gas emission positions and emission amounts in the monitored cement industrial plant area, where the carbon gas emission amount includes the total emission amount and the organized emission amount, then the unorganized emission amount = total emission amount - organized emission amount; Step 4: Arrange at least 6 carbon gas concentration collection modules around the monitored cement industrial plant area. The carbon gas concentration collection modules are arranged in an isosceles polygon, where at least 3 carbon gas concentration collection modules are arranged in the upwind position and at least 3 are arranged in the downwind position; Step 5: According to Steps 1-3, use the three-dimensional finite element fluid simulation model to calculate the average concentration of carbon gas in the three-dimensional space of the cement industrial plant area under different wind directions and wind force levels; Step 6: According to the positions of the carbon gas concentration collection modules in Step 4, set the corresponding number of carbon gas concentration collection points at the corresponding positions in the three-dimensional finite element fluid simulation model, and obtain the data set of the average carbon gas concentration A1 of the carbon gas concentration collection module in the downwind position and the total emission amount M; Step 7: Train the low-frequency trajectory data matching algorithm according to the data set obtained in Step 6, and construct an online monitoring model for unorganized carbon emissions in the cement industrial plant area; Step 8: Calculate the average carbon gas concentration A2 of the carbon gas concentration collection module in the upwind position. This calculated value is the environmental carbon gas content value, and use this calculated value to correct the average carbon gas concentration of the carbon gas concentration collection module in the downwind position. The corrected average carbon gas concentration of the carbon gas concentration collection module in the downwind position is A3, where A3 = A1 - A2; Step 9: According to the corrected average carbon gas concentration A3 of the carbon gas concentration collection module in the downwind position, use the online monitoring model for unorganized carbon emissions in the cement industrial plant area constructed in Step 7 to calculate the average carbon gas emission amount of the monitored cement industrial plant area with time t as the standard time period.

2. The online monitoring method for unorganized carbon emissions in a cement industrial plant area according to claim 1, characterized in that, the wind direction of the monitored cement industrial plant area in Step 2 refers to the direction from which the wind comes, and is calculated according to eight directions, namely north, northeast, east, southeast, south, southwest, west, and northwest; the wind force level of the monitored cement industrial plant area is 1-12 levels.

3. The online monitoring method for unorganized carbon emissions in a cement industrial plant area according to claim 2, characterized in that, the data set obtained in Step 6 should include data of any combination of eight wind directions and 12 wind force levels to ensure the model training effect.

4. The online monitoring method for unorganized carbon emissions in a cement industrial plant area according to claim 1, characterized in that, the standard time period t in Step 9 is set to one hour, one day or one month.

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