Flue gas treatment system based on environmental monitoring

Abstract

The invention relates to the technical field of intelligent monitoring, in particular to a flue gas treatment system based on environmental monitoring, which comprises a flue gas collector, a circulating condenser, a characteristic analyzer, a desulfurization analyzer and a flue gas processor, according to the method, the prominent characteristic parameters and the defect characteristic parameters can be accurately analyzed by collecting the flue gas image characteristics of the reaction area of the desulfurization tower, and the accuracy of a flue gas treatment system is improved. Whether a heat exchange abnormal risk exists or not and whether an environment illumination abnormal risk exists or not can be effectively judged by distinguishing the abnormal risk tendency labels, the efficiency of the flue gas treatment system is improved, and the situation of the heat exchange abnormal risk can be reduced by determining the operation frequency of the circulating pump; and by determining and adjusting the illumination intensity of the light source assembly, the occurrence of the abnormal risk of environment illumination is reduced, so that the efficiency of the flue gas treatment system is further improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent monitoring technology, and in particular to a flue gas treatment system based on environmental monitoring. Background Art

[0002] Since fossil fuels such as coal occupy an important position in the energy structure, thermal power generation, steel, cement, chemical and other industries will produce a large amount of flue gas during the production process. For example, in thermal power generation, the amount of flue gas generated by coal combustion is large and the pollutant composition is complex; the sintering, ironmaking, steelmaking and other processes in the steel industry will also emit a large amount of dust, sulfur and nitrogen-containing flue gas, which requires effective flue gas treatment technology to reduce pollutant emissions and achieve sustainable development. Therefore, flue gas treatment has become increasingly important. In order to reduce environmental pollution, it has become increasingly urgent to overcome the low accuracy and low efficiency of the flue gas treatment system.

[0003] Chinese patent announcement number: CN 109663428 B, discloses a flue gas treatment system, including a flue gas generating device, an indirect cooling tower, and a desulfurization tower and a chimney arranged in the indirect cooling tower, the bottom of the indirect cooling tower includes an air intake structure and a radiator arranged at the air intake structure to heat the air at the air intake structure to obtain hot air, the flue gas generating device is arranged outside the indirect cooling tower and is connected to the desulfurization tower, so that the flue gas in the flue gas generating device enters the desulfurization tower for purification to obtain clean flue gas, the chimney is connected to the desulfurization tower and extends upward along the center line direction of the indirect cooling tower to at least the throat of the indirect cooling tower, so that the clean flue gas is discharged into the indirect cooling tower through the chimney and discharged under the carry-over of hot air. The flue gas treatment system saves industrial land and promotes safe flue gas discharge by arranging the chimney and the desulfurization tower in the indirect cooling tower.

[0004] However, the prior art still has the following problems:

[0005] The problem that too little desulfurizer in the desulfurization tower causes the dust in the flue gas to not be effectively absorbed, resulting in abnormalities in the flue gas treatment system and thus the risk of environmental pollution was not considered;

[0006] The problem of low flue gas treatment efficiency caused by abnormal heat exchange and abnormal ambient light in the flue gas treatment system is not taken into consideration. Summary of the invention

[0007] In order to solve the above problems, the present invention provides a flue gas treatment system based on environmental monitoring, which overcomes the problem in the prior art that the dust in the flue gas cannot be effectively absorbed due to the lack of desulfurizer in the desulfurization tower, resulting in abnormalities in the flue gas treatment system and thus the risk of environmental pollution; and the problem that the flue gas treatment system has low monitoring accuracy due to abnormal heat exchange and abnormal ambient light, thus resulting in low flue gas treatment efficiency.

[0008] To achieve the above object, the present invention provides a flue gas treatment system based on environmental monitoring, comprising:

[0009] A flue gas collector, comprising an image acquisition unit arranged in the desulfurization tower for collecting image features of flue gas in the reaction area and a light source component for illumination;

[0010] A circulating condenser, which is arranged in the desulfurization tower to absorb the heat of the flue gas and transfer it back to the heat exchange pipeline of the desulfurization tower and a circulating pump to drive the heat exchange medium;

[0011] A feature analyzer connected to the smoke collector for analyzing the characteristics of the smoke image in the reaction area to highlight the characteristic parameters and defect characteristic parameters;

[0012] a desulfurization agent analyzer connected to the feature analyzer and configured to analyze the highlighted image feature representation value based on the highlighted feature parameter;

[0013] A flue gas processor, which is respectively connected to the flue gas collector, the circulating condenser, the feature analyzer and the desulfurizer analyzer, and includes a clustering unit and a control unit, wherein the clustering unit is used to distinguish abnormal risk tendency labels based on the salient feature characterization values ​​corresponding to the time period;

[0014] The control unit monitors the operation status of the flue gas treatment system in response to the division result of the clustering unit, including determining whether there is a risk of abnormal heat exchange based on the change amplitude of the salient characteristic representation value within a time period, so as to determine the operation frequency of the circulation pump;

[0015] Or, to extract a defect characteristic value based on the defect characteristic parameter, to determine whether there is a risk of abnormal ambient lighting based on the variation range of the defect characteristic value within a time period, so as to determine whether to adjust the lighting intensity of the light source assembly;

[0016] Among them, the prominent feature parameters include the smoke movement speed and smoke grayscale of the reaction area smoke image, and the defect feature parameters include the brightness of the desulfurizer feature and the spot area ratio.

[0017] Furthermore, the desulfurizer analyzer is used to analyze the prominent characteristic parameters and defect characteristic parameters including:

[0018] Used to extract smoke contour features from smoke image features in the reaction area;

[0019] Determine the smoke moving speed based on the smoke contour feature, and determine the smoke grayscale based on the image in the smoke contour feature;

[0020] It is used to determine a number of cluster points through clustering, identify the desulfurizer characteristics based on the chromaticity of the cluster points, determine the brightness of each desulfurizer characteristic, identify the light spot based on the brightness, and determine the light spot area ratio.

[0021] Furthermore, the desulfurization agent analyzer is used to analyze the salient image feature characterization value based on the salient feature parameter, including:

[0022] The ratio of the smoke moving speed used to calculate the smoke image of the reaction area to the predetermined smoke moving speed is determined as the first highlight factor;

[0023] The ratio of the smoke grayscale used to calculate the smoke image of the reaction area to the predetermined grayscale is determined as the second highlighting factor;

[0024] The sum of the first salient factor and the second salient factor is calculated to be determined as the salient feature representation value.

[0025] Furthermore, the clustering unit is used to distinguish abnormal risk tendency labels based on the salient feature representation values ​​corresponding to the time period, including:

[0026] If the salient feature characterization value is greater than the preset salient feature characterization value threshold, it is determined to be a first abnormal risk tendency label;

[0027] If the salient feature characterization value is less than or equal to the preset salient feature characterization value threshold, it is determined to be a second abnormal risk tendency label.

[0028] Furthermore, the control unit is used to monitor the operation status of the flue gas treatment system in response to the division result of the clustering unit, including:

[0029] If it is determined to be the first abnormal risk tendency label, then judging whether there is a heat exchange abnormality risk based on the change amplitude of the prominent characteristic representation value within the time period, so as to determine the operating frequency of the circulation pump;

[0030] If it is determined to be a second abnormal risk tendency label, the defect characteristic characterization value is analyzed based on the defect characteristic parameter to determine whether there is an abnormal risk of ambient lighting based on the change of the defect characteristic characterization value within a time period, so as to determine to adjust the lighting intensity of the light source assembly.

[0031] Furthermore, the control unit determines whether there is a risk of abnormal heat exchange based on the change amplitude of the prominent characteristic value within a time period, including:

[0032] To determine the magnitude of change in the salient feature characterization value within a time period;

[0033] If the variation range is greater than or equal to a preset variation range threshold, it is determined that there is a risk of abnormal heat exchange.

[0034] Furthermore, the control unit is used to analyze the defect feature characterization value based on the smoke image feature of the reaction area, including:

[0035] The ratio of the brightness used to calculate the desulfurization agent characteristic to a predetermined brightness threshold is determined as a first influencing factor;

[0036] The ratio of the spot area ratio of the smoke image in the reaction area to a predetermined spot area ratio threshold is used to calculate the second influencing factor;

[0037] The sum of the first influencing factor and the second influencing factor is calculated and determined as the defect characteristic value.

[0038] Furthermore, the control unit is used to determine whether there is a risk of abnormal ambient lighting based on the change amplitude of the defect characteristic value within a time period, including:

[0039] To determine the variation of the defect characteristic value within a time period;

[0040] If the variation amplitude is greater than or equal to a preset defect characteristic characterization value threshold, it is determined that there is a risk of abnormal lighting.

[0041] Furthermore, the control unit is used to determine the operating frequency of the circulation pump, including:

[0042] To calculate the variance of the salient feature characterization value within a time period;

[0043] The method is used to adjust the operating frequency of the circulation pump based on the variance of the salient feature characterization value.

[0044] Furthermore, the control unit is used to determine and adjust the illumination intensity of the light source assembly, including:

[0045] Used to calculate the variance of the defect characteristic value within a time period;

[0046] The method is used to determine the illumination intensity of the illumination component based on the variance of the defect feature representation value.

[0047] Compared with the prior art, the present invention provides a flue gas treatment system based on environmental monitoring, including a flue gas collector, a circulating condenser, a feature analyzer, a desulfurizer analyzer and a flue gas processor. The present invention can accurately analyze the prominent feature parameters and defect feature parameters by collecting the flue gas image features in the reaction area of ​​the desulfurization tower, thereby improving the accuracy of the flue gas treatment system. By distinguishing the abnormal risk tendency labels, it can effectively determine whether there is a risk of abnormal heat exchange and whether there is a risk of abnormal ambient light, thereby improving the efficiency of the flue gas treatment system. By determining the operating frequency of the circulating pump, the occurrence of abnormal heat exchange risk can be reduced. By determining to adjust the light intensity of the light source component, the occurrence of abnormal ambient light risk is reduced, thereby further improving the efficiency of the flue gas treatment system.

[0048] In particular, the present invention can monitor and adjust the use of desulfurizer in real time through the desulfurizer analyzer, optimize the flue gas treatment process, improve desulfurization efficiency and system stability, and reduce operating costs. The prominent image feature parameters can analyze the prominent image feature characterization values, thereby accurately controlling the usage and distribution of the desulfurizer, ensuring that the desulfurizer is in full contact with sulfur dioxide in the flue gas, thereby improving the efficiency of the flue gas treatment system, and overcoming the problem that too little desulfurizer in the desulfurization tower causes the dust in the flue gas to not be effectively absorbed, resulting in abnormalities in the flue gas treatment system, thereby causing the risk of environmental pollution.

[0049] In particular, the present invention effectively reduces the occurrence of system failures caused by abnormal heat exchange by timely discovering and processing the risk of abnormal heat exchange through the control unit, and improves the stability and reliability of the flue gas treatment system. The control unit effectively reduces the occurrence of inaccurate monitoring data caused by abnormal ambient light by timely discovering and processing the risk of abnormal ambient light, and improves the accuracy and efficiency of monitoring of the flue gas treatment system. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 This is a structural block diagram of a flue gas treatment system based on environmental monitoring according to an embodiment of the present invention;

[0051] Figure 2 It is a logic flow chart of analyzing image feature parameters based on the smoke image features of the reaction area according to an embodiment of the present invention;

[0052] Figure 3 A logical decision diagram for distinguishing abnormal risk tendency labels based on salient feature representation values ​​corresponding to time periods according to an embodiment of the present invention;

[0053] Figure 4 This is a logic decision diagram for monitoring the operating status of a flue gas treatment system in response to the division result of the clustering unit according to an embodiment of the present invention. DETAILED DESCRIPTION

[0054] 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 only used to explain the present invention and are not used to limit the present invention.

[0055] 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 protection scope of the present invention.

[0056] It should be noted that in the description of the present invention, unless otherwise clearly specified and limited, "connection" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0057] See also Figure 1 As shown, it is a structural block diagram of a flue gas treatment system based on environmental monitoring according to an embodiment of the present invention. The present invention provides a flue gas treatment system based on environmental monitoring, including:

[0058] A flue gas collector, comprising an image acquisition unit arranged in the desulfurization tower for collecting image features of flue gas in the reaction area and a light source component for illumination;

[0059] A circulating condenser, which is arranged in the desulfurization tower to absorb the heat of the flue gas and transfer it back to the heat exchange pipeline of the desulfurization tower and a circulating pump to drive the heat exchange medium;

[0060] A feature analyzer connected to the smoke collector for analyzing the characteristics of the smoke image in the reaction area to highlight the characteristic parameters and defect characteristic parameters;

[0061] a desulfurization agent analyzer connected to the feature analyzer and configured to analyze the highlighted image feature representation value based on the highlighted feature parameter;

[0062] A flue gas processor, which is respectively connected to the flue gas collector, the circulating condenser, the feature analyzer and the desulfurizer analyzer, and includes a clustering unit and a control unit, wherein the clustering unit is used to distinguish abnormal risk tendency labels based on the salient feature characterization values ​​corresponding to the time period;

[0063] The control unit monitors the operation status of the flue gas treatment system in response to the division result of the clustering unit, including determining whether there is a risk of abnormal heat exchange based on the change amplitude of the salient characteristic representation value within a time period, so as to determine the operation frequency of the circulation pump;

[0064] Or, to extract a defect characteristic value based on the defect characteristic parameter, to determine whether there is a risk of abnormal ambient lighting based on the variation range of the defect characteristic value within a time period, so as to determine whether to adjust the lighting intensity of the light source assembly;

[0065] Among them, the prominent feature parameters include the smoke movement speed and smoke grayscale of the reaction area smoke image, and the defect feature parameters include the brightness of the desulfurizer feature and the spot area ratio.

[0066] It is understandable that there is no limitation on the structure of the desulfurization tower. An existing desulfurization tower is used. Flue gas enters the desulfurization tower from the bottom of the tower and reacts with the desulfurizer slurry during the rising process. The desulfurizer slurry is usually sprayed out to react with the rising flue gas.

[0067] It is understandable that the image acquisition unit, including but not limited to industrial cameras, imagers and other devices capable of acquiring images, can be set on the wall of the desulfurization tower.

[0068] It can be understood that the main components of the circulating condenser are the heat exchange pipeline that stores the heat exchange medium and the circulating pump that drives the heat exchange medium. In actual situations, the heat exchange pipeline can absorb the temperature of the flue gas transmitted to the upper layer of the desulfurization tower, so that the flue gas is cooled, and the heat exchange pipeline is derived to the heating area required by the desulfurization tower, and then the heat is stored in the heat exchange medium and then transferred to the desulfurization tower through the heat exchange medium. Usually, the desulfurization tower requires an external heating device to ensure the reaction temperature, and then heat exchange can be used to assist heating and save energy.

[0069] It can be understood that the spot area ratio of the flue gas image in the reaction area is the area ratio of the spot area in the desulfurizer image. The spot area ratio is one of the important indicators for evaluating the performance of the desulfurizer. By analyzing the changes in the spot area ratio, the surface changes of the desulfurizer in different treatment processes can be monitored, thereby improving the accuracy of the flue gas treatment system.

[0070] Specifically, the desulfurizer analyzer is used to analyze the prominent characteristic parameters and defect characteristic parameters including:

[0071] Used to extract smoke contour features from smoke image features in the reaction area;

[0072] Determine the smoke moving speed based on the smoke contour feature, and determine the smoke grayscale based on the image in the smoke contour feature;

[0073] It is used to determine a number of cluster points through clustering, identify the desulfurizer characteristics based on the chromaticity of the cluster points, determine the brightness of each desulfurizer characteristic, identify the light spot based on the brightness, and determine the light spot area ratio.

[0074] In implementation, several feature points may be marked in the smoke contour feature to determine the average displacement of the feature points in adjacent images, and the smoke moving speed may be determined based on the average displacement and the time difference corresponding to the image frames.

[0075] In practice, there is a certain color difference between the desulfurizer and the flue gas. The desulfurizer characteristics can be determined by determining the range of the cluster point color. The range of the desulfurizer characteristics can be identified by those skilled in the art.

[0076] Similarly, a brightness threshold may be set, and the desulfurization agent feature with a brightness greater than the predetermined brightness threshold may be determined as a light spot.

[0077] See also Figure 2 As shown, it is a logic flow chart of analyzing image feature parameters based on the reaction area flue gas image feature according to an embodiment of the present invention, the desulfurizer analyzer is used to analyze the prominent image feature representation value based on the prominent feature parameter, including:

[0078] The ratio of the smoke moving speed used to calculate the smoke image of the reaction area to the predetermined smoke moving speed is determined as the first highlight factor;

[0079] The ratio of the smoke grayscale used to calculate the smoke image of the reaction area to the predetermined grayscale is determined as the second highlighting factor;

[0080] The sum of the first salient factor and the second salient factor is calculated to be determined as the salient feature representation value.

[0081] It can be understood that the predetermined smoke movement speed is 1.16 times the average value of the smoke movement speed of the reaction area smoke image monitored within the first three months of the historical period of the system; the predetermined grayscale is 1.12 times the average value of the smoke grayscale of the reaction area smoke image monitored within the first three months of the historical period of the system.

[0082] See also Figure 3 As shown, it is a logical decision diagram for distinguishing abnormal risk tendency labels based on the salient feature characterization values ​​corresponding to the time period according to an embodiment of the present invention. The clustering unit is used to distinguish abnormal risk tendency labels based on the salient feature characterization values ​​corresponding to the time period, including:

[0083] If the salient feature characterization value is greater than the preset salient feature characterization value threshold, it is determined to be a first abnormal risk tendency label;

[0084] If the salient feature characterization value is less than or equal to the preset salient feature characterization value threshold, it is determined to be a second abnormal risk tendency label.

[0085] It is understandable that the threshold value of the prominent characteristic characterization value preset in the implementation is 1.2 to 1.5 times the average value of the prominent characteristic characterization value monitored by the system in the first three months of the historical period.

[0086] It is understandable that when the reaction is incomplete or the temperature is abnormal, the movement speed of the smoke changes due to the effect of thermal buoyancy, so that the movement speed of the smoke in the smoke image of the reaction area will also increase accordingly.

[0087] It is understandable that insufficient ambient light during implementation results in unclear limits on the smoke moving speed of smoke image features in the reaction area of ​​image monitoring, leading to misjudgment of a low smoke moving speed.

[0088] See also Figure 4 As shown, it is a logical decision diagram for monitoring the operating state of the flue gas treatment system in response to the division result of the clustering unit according to an embodiment of the present invention. The control unit of the present invention is used to monitor the operating state of the flue gas treatment system in response to the division result of the clustering unit, including:

[0089] If it is determined to be the first abnormal risk tendency label, then judging whether there is a heat exchange abnormality risk based on the change amplitude of the prominent characteristic representation value within the time period, so as to determine the operating frequency of the circulation pump;

[0090] If it is determined to be a second abnormal risk tendency label, the defect characteristic characterization value is analyzed based on the defect characteristic parameter to determine whether there is an abnormal risk of ambient lighting based on the change of the defect characteristic characterization value within a time period, so as to determine to adjust the lighting intensity of the light source assembly.

[0091] Specifically, the control unit determines whether there is a risk of abnormal heat exchange based on the change amplitude of the prominent characteristic value within a time period, including:

[0092] To determine the magnitude of change in the salient feature characterization value within a time period;

[0093] If the variation range is smaller than a preset variation range threshold, it is determined that there is no risk of abnormal heat exchange;

[0094] If the variation range is greater than or equal to a preset variation range threshold, it is determined that there is a risk of abnormal heat exchange.

[0095] The change amplitude threshold is set to 0.3 times the threshold of the prominent feature characterization value.

[0096] Specifically, the control unit is used to analyze the defect feature representation value based on the smoke image feature of the reaction area, including:

[0097] The ratio of the brightness used to calculate the desulfurization agent characteristic to a predetermined brightness threshold is determined as a first influencing factor;

[0098] The ratio of the spot area ratio of the smoke image in the reaction area to a predetermined spot area ratio threshold is used to calculate the second influencing factor;

[0099] The sum of the first influencing factor and the second influencing factor is calculated and determined as the defect characteristic value.

[0100] It can be understood that the present invention can accurately evaluate the performance and state of the desulfurizer by calculating the ratio of brightness and spot area ratio. Brightness can reflect the reflective properties of the desulfurizer surface, while spot area ratio can reflect the pore distribution and roughness of the desulfurizer surface.

[0101] By calculating the defect characteristic characterization value, the present invention can timely discover potential problems of the desulfurizer, including but not limited to surface contamination and pore blockage, so as to take corresponding measures to deal with them and ensure the efficient operation of the desulfurizer.

[0102] By real-time monitoring and analyzing defect characteristic representation values, the control unit of the present invention can dynamically adjust system parameters, including the operating frequency of the circulation pump and the illumination intensity of the light source assembly, optimize the operating state of the system, and improve the stability and reliability of the system.

[0103] It can be understood that the brightness threshold value predetermined in the embodiment is 1.15 times the average value of the brightness of the desulfurizer characteristic monitored within the first three months of the historical period of the system, and the spot area ratio threshold value predetermined in the embodiment is 1.12 times the average value of the spot area ratio of the flue gas image of the reaction area monitored within the first three months of the historical period of the system.

[0104] The defect characteristic value control unit of the present invention can further analyze and judge the state of the desulfurizer through calculation, and take corresponding measures to adjust it. In implementation, if the defect characteristic value exceeds a preset threshold, the control unit can increase the operating frequency of the circulation pump to improve the heat exchange efficiency of the desulfurizer; or adjust the light intensity of the light source component to ensure the accuracy of the monitoring data.

[0105] Specifically, the control unit is used to determine whether there is an abnormal ambient lighting risk based on the change amplitude of the defect characteristic value within a time period, including:

[0106] To determine the variation of the defect characteristic value within a time period;

[0107] If the variation is less than the preset defect characteristic value threshold, it is determined that there is no risk of abnormal illumination;

[0108] If the variation amplitude is greater than or equal to a preset defect characteristic characterization value threshold, it is determined that there is a risk of abnormal lighting.

[0109] It is understandable that the present invention monitors and analyzes the change amplitude of the defect characteristic value in real time, and the control unit can promptly detect abnormal changes in ambient light, so as to take corresponding measures to make adjustments and ensure the stable operation of the system. When it is determined that there is a risk of abnormal lighting, the control unit can automatically adjust the light intensity and angle of the light source assembly to optimize the lighting conditions and improve the quality and reliability of image acquisition. The present invention can dynamically adjust according to real-time monitoring data, improve the adaptability and flexibility of the system, and better cope with different operating conditions.

[0110] It can be understood that the preset defect characteristic characterization value threshold is 1.2 times the average value of the defect characteristic characterization values ​​monitored by the system in the first three months of the historical period.

[0111] Through the above operations, the control unit can effectively monitor and adjust the operating status of the flue gas treatment system, improve the stability and reliability of the system, optimize resource allocation, and reduce operating costs.

[0112] Specifically, the control unit is used to determine the operating frequency of the circulation pump, including:

[0113] To calculate the variance of the salient feature characterization value within a time period;

[0114] The method is used to adjust the operating frequency of the circulation pump based on the variance of the salient feature characterization value.

[0115] It can be understood that, for adjusting the operating frequency of the circulating pump based on the variance, including,

[0116] If the variance is large, it means that the characteristic value fluctuates greatly within the time period, and there may be a risk of abnormal heat exchange. At this time, the control unit will increase the operating frequency of the circulation pump to enhance heat exchange and ensure stable operation of the system.

[0117] If the variance is small, it means that the salient feature characterization value fluctuates little within the time period, and the heat exchange state is relatively stable. At this time, the control unit will maintain or reduce the operating frequency of the circulation pump to save energy and reduce equipment wear. By calculating the variance in real time and adjusting the operating frequency of the circulation pump, the control unit can quickly respond to changes in the system state and improve the response speed of the system. By reasonably adjusting the operating frequency of the circulation pump, the heat exchange efficiency can be optimized and the energy waste caused by insufficient or excessive heat exchange can be reduced. By optimizing the operating frequency of the circulation pump, energy consumption can be reduced, equipment maintenance costs can be reduced, and overall operating costs can be reduced.

[0118] Specifically, the control unit is used to determine and adjust the illumination intensity of the light source assembly, including:

[0119] Used to calculate the variance of the defect characteristic value within a time period;

[0120] The method is used to determine the illumination intensity of the illumination component based on the variance of the defect feature representation value.

[0121] It can be understood that the illumination intensity of the illumination component is determined based on the variance, including:

[0122] If the variance is large, it means that the defect characteristic value fluctuates greatly within the time period, and there is a risk of abnormal ambient light. At this time, the control unit will increase the light intensity of the lighting component to ensure that the light intensity and angle of the light source component can adapt to environmental changes and improve the accuracy of the monitoring data.

[0123] If the variance is small, it means that the defect feature representation value fluctuates little over the time period and the ambient light state is relatively stable. At this time, the control unit will maintain or reduce the light intensity of the lighting component to save energy and reduce equipment wear.

[0124] The present invention can ensure the accuracy and reliability of monitoring data under different ambient lighting conditions by dynamically adjusting the illumination intensity of the illumination component. When the ambient lighting is stable, the illumination intensity of the LED lamp is reduced to save energy and reduce the operating cost of the equipment.

[0125] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A flue gas treatment system based on environmental monitoring, characterized in that: include: A flue gas collector, comprising an image acquisition unit arranged in the desulfurization tower for collecting image features of flue gas in the reaction area and a light source component for illumination; A circulating condenser, which is arranged in the desulfurization tower to absorb the heat of the flue gas and transfer it back to the heat exchange pipeline of the desulfurization tower and a circulating pump to drive the heat exchange medium; A feature analyzer connected to the smoke collector for analyzing the characteristics of the smoke image in the reaction area to highlight the characteristic parameters and defect characteristic parameters; a desulfurization agent analyzer connected to the feature analyzer and configured to analyze the highlighted image feature representation value based on the highlighted feature parameter; A flue gas processor, which is respectively connected to the flue gas collector, the circulating condenser, the feature analyzer and the desulfurizer analyzer, and includes a clustering unit and a control unit, wherein the clustering unit is used to distinguish abnormal risk tendency labels based on the salient feature characterization values ​​corresponding to the time period; The control unit monitors the operation status of the flue gas treatment system in response to the division result of the clustering unit, including determining whether there is a risk of abnormal heat exchange based on the change amplitude of the salient characteristic representation value within a time period, so as to determine the operation frequency of the circulation pump; Or, to extract a defect characteristic value based on the defect characteristic parameter, to determine whether there is a risk of abnormal ambient lighting based on the variation range of the defect characteristic value within a time period, so as to determine whether to adjust the lighting intensity of the light source assembly; Among them, the prominent feature parameters include the smoke movement speed and smoke grayscale of the reaction area smoke image, and the defect feature parameters include the brightness of the desulfurizer feature and the spot area ratio.

2. The flue gas treatment system based on environmental monitoring according to claim 1 is characterized in that: The desulfurization agent analyzer is used to analyze the prominent characteristic parameters and defect characteristic parameters including: Used to extract smoke contour features from smoke image features in the reaction area; Determine the smoke moving speed based on the smoke contour feature, and determine the smoke grayscale based on the image in the smoke contour feature; It is used to determine a number of cluster points through clustering, identify the desulfurizer characteristics based on the chromaticity of the cluster points, determine the brightness of each desulfurizer characteristic, identify the light spot based on the brightness, and determine the light spot area ratio.

3. The flue gas treatment system based on environmental monitoring according to claim 1 is characterized in that: The desulfurization agent analyzer is used to analyze the salient image feature representation value based on the salient feature parameter, including: The ratio of the smoke moving speed used to calculate the smoke image of the reaction area to the predetermined smoke moving speed is determined as the first highlight factor; The ratio of the smoke grayscale used to calculate the smoke image of the reaction area to the predetermined grayscale is determined as the second highlighting factor; The sum of the first salient factor and the second salient factor is calculated to be determined as the salient feature representation value.

4. The flue gas treatment system based on environmental monitoring according to claim 1 is characterized in that: The clustering unit is used to distinguish abnormal risk tendency labels based on the salient feature representation values ​​corresponding to the time period, including: If the salient feature characterization value is greater than the preset salient feature characterization value threshold, it is determined to be a first abnormal risk tendency label; If the salient feature characterization value is less than or equal to the preset salient feature characterization value threshold, it is determined to be a second abnormal risk tendency label.

5. The flue gas treatment system based on environmental monitoring according to claim 1 is characterized in that: The control unit is used to monitor the operation status of the flue gas treatment system in response to the division result of the clustering unit, including: If it is determined to be the first abnormal risk tendency label, then judging whether there is a heat exchange abnormality risk based on the change amplitude of the prominent characteristic representation value within the time period, so as to determine the operating frequency of the circulation pump; If it is determined to be a second abnormal risk tendency label, the defect characteristic characterization value is analyzed based on the defect characteristic parameter to determine whether there is an abnormal risk of ambient lighting based on the change of the defect characteristic characterization value within a time period, so as to determine to adjust the lighting intensity of the light source assembly.

6. The flue gas treatment system based on environmental monitoring according to claim 1 is characterized in that: The control unit determines whether there is a risk of abnormal heat exchange based on the change amplitude of the prominent characteristic value within a time period, include, To determine the magnitude of change in the salient feature characterization value within a time period; If the variation range is greater than or equal to a preset variation range threshold, it is determined that there is a risk of abnormal heat exchange.

7. The flue gas treatment system based on environmental monitoring according to claim 1 is characterized in that: The control unit is used to analyze the defect feature characterization value based on the smoke image feature of the reaction area, including: The ratio of the brightness used to calculate the desulfurization agent characteristic to a predetermined brightness threshold is determined as a first influencing factor; The ratio of the spot area ratio of the smoke image in the reaction area to a predetermined spot area ratio threshold is used to calculate the second influencing factor; The sum of the first influencing factor and the second influencing factor is calculated and determined as the defect characteristic value.

8. The flue gas treatment system based on environmental monitoring according to claim 1 is characterized in that: The control unit is used to determine whether there is a risk of abnormal ambient lighting based on the change amplitude of the defect characteristic value within a time period, include, To determine the variation of the defect characteristic value within a time period; If the variation amplitude is greater than or equal to a preset defect characteristic characterization value threshold, it is determined that there is a risk of abnormal lighting.

9. The flue gas treatment system based on environmental monitoring according to claim 1 is characterized in that: The control unit is used to determine the operating frequency of the circulation pump, including: To calculate the variance of the salient feature characterization value within a time period; The method is used to adjust the operating frequency of the circulation pump based on the variance of the salient feature characterization value.

10. The flue gas treatment system based on environmental monitoring according to claim 1, characterized in that: The control unit is used to determine and adjust the light intensity of the light source assembly. include, Used to calculate the variance of the defect characteristic value within a time period; The method is used to determine the illumination intensity of the illumination component based on the variance of the defect feature representation value.

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