A system for monitoring and treating exhaust gas produced in the production of an anti-ash-clogging honeycomb denitration catalyst

Abstract

The application relates to the technical field of data processing, in particular to a waste gas monitoring and processing system for anti-ash-blocking honeycomb denitration catalyst production; a suspected abnormality degree is obtained according to the fluctuation characteristics of concentration time sequence and the difference characteristics of concentration and predicted concentration; a humidity influence degree is obtained according to the distribution characteristics of the suspected abnormality degree corresponding to humidity; corrected waste gas is obtained according to the humidity influence degree, the suspected abnormality degree and humidity characteristics; a concentration ratio is obtained according to the concentration of the corrected waste gas and other waste gas; a ratio weight is obtained according to the humidity characteristics of a historical moment and the concentration ratio of all kinds at different historical moments; a proportion characteristic value is obtained according to the concentration ratio and the ratio weight of all historical moments. The corrected concentration of the corrected waste gas at the current moment is obtained according to the proportion characteristic value and the concentration of other waste gas, and the accuracy of waste gas concentration monitoring is improved.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, specifically to a waste gas monitoring and treatment system for the production of anti-clogging honeycomb denitrification catalysts. Background Technology

[0002] SO2 and NO are generated during the production of anti-clogging ash honeycomb denitrification catalyst. x NH3, VOC s Various gases, including NH3 and VOCs. s Flammable and explosive; high concentrations may pose a risk of combustion and explosion; SO2, NO x These gases are highly corrosive and toxic; excessively high concentrations can corrode equipment and harm the health of personnel. Therefore, it is necessary to monitor the concentration of exhaust gases during production and take timely measures based on changes in concentration to reduce production risks.

[0003] High humidity is a common phenomenon in the production process of denitrification catalysts. For example, water is generated during the reaction, water-containing raw materials release moisture when heated, and water vapor condenses into water droplets due to rapid cooling of the condensation system. High humidity environment will cause some water-soluble gases such as SO2 and NH3 to be absorbed by water, which will make the concentration monitoring data of such waste gases less accurate and difficult to reflect the true concentration of waste gases, thus affecting the accuracy of subsequent waste gas concentration warning. Summary of the Invention

[0004] To address the technical problem mentioned above, where the inaccuracy of waste gas concentration monitoring data is low due to the dissolution of some waste gas in water, thus affecting the accuracy of concentration early warning, the present invention aims to provide a waste gas monitoring and treatment system for the production of anti-clogging honeycomb denitrification catalysts. The specific technical solution adopted is as follows:

[0005] The data acquisition module is used to acquire the concentration time series of different exhaust gases and the humidity time series of the same period;

[0006] The anomaly analysis module is used to obtain the suspected anomaly degree based on the fluctuation characteristics of the concentration of the exhaust gas over time and the difference characteristics between the concentration at the same time and the predicted concentration; to obtain the humidity characterization value, anomaly characterization value and discrete characterization value based on the distribution characteristics of the suspected anomaly degree corresponding to different humidity levels in the humidity time series; and to obtain the degree of humidity influence of the exhaust gas based on the correlation characteristics of the changes in the anomaly characterization value and the humidity characterization value and the discrete characterization value.

[0007] The data processing module is used to obtain the anomaly index of the exhaust gas based on the degree of humidity influence, the suspected anomaly level at the current moment, and humidity characteristics; obtain the corrected exhaust gas based on the anomaly index; obtain the concentration ratio based on the concentration characteristics of the corrected exhaust gas at the same moment and other exhaust gases; obtain the ratio weight of the historical moment based on the humidity characteristics at historical moments and the difference characteristics of the concentration ratios of all types at historical moments and other historical moments; and obtain the proportion feature value based on the concentration ratios and ratio weights of all historical moments.

[0008] The concentration correction module is used to obtain the corrected concentration of the corrected waste gas at the current moment based on the ratio characteristic value of the corrected waste gas to all other waste gases and the concentration of all other waste gases.

[0009] Furthermore, the step of obtaining the suspected anomaly level based on the temporal fluctuation characteristics of the exhaust gas concentration and the difference characteristics between the concentration at the same time and the predicted concentration includes:

[0010] Calculate the reciprocal of the standard deviation of the concentration over a preset time period before any time in the concentration time series to obtain a stable characteristic value over the preset time period; fit the concentration over the preset time period before any time using the least squares method to obtain a fitted straight line; use the value of the fitted straight line at any time as the predicted concentration; calculate the absolute value of the difference between the concentration of the exhaust gas at any time and the predicted concentration to obtain a concentration difference value; calculate the product of the concentration difference value and the stable characteristic value and normalize it to obtain the suspected anomaly degree of the exhaust gas at any time.

[0011] Further, the step of obtaining humidity characterization values, anomaly characterization values, and discrete characterization values ​​based on the distribution characteristics of suspected anomalies corresponding to different humidity levels in the humidity time series includes:

[0012] Construct a Cartesian coordinate system relating humidity and the suspected anomaly degree, with humidity on the horizontal axis and the suspected anomaly degree of the exhaust gas at each humidity level at any given time. Divide the humidity into a preset number of humidity ranges. Calculate the average Euclidean distance between any data point within each humidity range and all other data points in the Cartesian coordinate system to obtain the dispersion of any data point. Use the humidity corresponding to the data point with the smallest dispersion as the humidity characterization value, the corresponding suspected anomaly degree as the anomaly characterization value, and the minimum dispersion value as the discrete characterization value.

[0013] Furthermore, the step of obtaining the degree of humidity influence of the exhaust gas based on the correlation characteristics of changes in abnormal characterization values ​​and humidity characterization values, and discrete characterization values, includes:

[0014] Calculate the difference between the humidity characterization value corresponding to any humidity range and the previous humidity range to obtain the humidity change value; calculate the difference between the abnormal characterization value corresponding to any humidity range and the previous humidity range to obtain the anomaly degree change value; calculate the reciprocal of the sum of the discrete characterization values ​​corresponding to any humidity range and the previous humidity range to obtain the influence weight; calculate the ratio of the abnormal change value to the humidity change value corresponding to the same humidity range to obtain the change correlation degree; calculate the product of the change correlation degree and the influence weight to obtain the weighted change correlation degree; calculate the sum of the weighted change correlation degrees corresponding to all humidity ranges and normalize it to obtain the degree of humidity influence of the exhaust gas.

[0015] Furthermore, the step of obtaining the abnormality index of the exhaust gas based on the degree of humidity influence, the suspected abnormality at the current moment, and the humidity characteristics includes:

[0016] Calculate the difference between the current humidity and the preset standard humidity to obtain the humidity difference value; calculate the product of the humidity difference value, the degree of humidity influence, and the suspected anomaly degree at the current moment, and normalize it to obtain the anomaly index of the exhaust gas at the current moment.

[0017] Furthermore, the step of obtaining the corrected exhaust gas based on the anomaly index includes:

[0018] When the abnormality index exceeds the preset abnormality threshold, the exhaust gas is used as corrective exhaust gas.

[0019] Furthermore, the step of obtaining the concentration ratio based on the concentration characteristics of the corrected exhaust gas and other exhaust gases at the same time includes:

[0020] The concentration ratio is obtained by calculating the ratio of the concentration of the corrected exhaust gas to that of other exhaust gases at the same time.

[0021] Furthermore, the step of obtaining the ratio weight of the historical time based on the humidity characteristics of the historical time and the difference characteristics of the concentration ratios of all types of the historical time with other historical times includes:

[0022] Calculate the reciprocal of the humidity at the historical moment and normalize it to obtain the environmental weight; for the concentration ratio of the corrected exhaust gas to any other exhaust gas, calculate the absolute value of the difference between the concentration ratios at the historical moment and any other historical moment to obtain the ratio difference; calculate the reciprocal of the sum of the ratio differences between the corrected exhaust gas and all other exhaust gases at the same moment to obtain the ratio similarity between the historical moment and any other historical moment; calculate the average ratio similarity between the historical moment and all other historical moments to obtain the average ratio similarity of the historical moment; calculate the product of the average ratio similarity and the environmental weight to obtain the ratio weight of the historical moment.

[0023] Furthermore, the step of obtaining the proportional characteristic value based on the concentration ratios and ratio weights at all historical moments includes:

[0024] Calculate the product of the concentration ratio at the historical time point and the weight of the ratio to obtain the weighted concentration ratio of the corrected exhaust gas and other exhaust gases; calculate the average of the weighted concentration ratios at all historical time points to obtain the proportional characteristic value of the corrected exhaust gas and other exhaust gases.

[0025] Further, the step of obtaining the corrected concentration of the corrected exhaust gas at the current moment based on the ratio characteristic value of the corrected exhaust gas to all other exhaust gases and the concentrations of all other exhaust gases includes:

[0026] Calculate the product of the ratio characteristic value of the corrected exhaust gas and other exhaust gases and the concentration of the other exhaust gases at the current time to obtain the initial correction value corresponding to the corrected exhaust gas and the other exhaust gases; calculate the average value of the initial correction values ​​corresponding to the corrected exhaust gas and all other exhaust gases to obtain the corrected concentration of the corrected exhaust gas at the current time.

[0027] The present invention has the following beneficial effects:

[0028] In this invention, obtaining the suspected anomaly level can determine whether there is a concentration anomaly based on the characteristics of concentration change trends; obtaining humidity characterization values ​​and anomaly characterization values ​​can be used to analyze whether humidity can affect the concentration change of exhaust gas, and discrete characterization values ​​can reflect the reliability of calculating the degree of humidity influence based on anomaly characterization values; obtaining the degree of humidity influence of exhaust gas can reflect the degree to which the concentration change of exhaust gas is affected by humidity, thereby improving the accuracy of determining the corrected exhaust gas. Obtaining the anomaly index can characterize whether the concentration monitoring data of exhaust gas deviates from the true concentration due to humidity factors at the current moment; determining the corrected exhaust gas can initially improve the accuracy of exhaust gas concentration monitoring. Since the concentration ratio between various exhaust gases in the denitrification catalyst production process is relatively fixed, obtaining the concentration ratio can be used to correct the concentration of the corrected exhaust gas; obtaining the ratio weight can determine the reliability of the concentration ratio of the corrected exhaust gas and other exhaust gases at different historical moments, thereby improving the accuracy of correction. Obtaining the proportional characteristic value can characterize the magnitude of the ratio of the corrected exhaust gas and other exhaust gases close to the true concentration ratio; finally, obtaining the corrected concentration can characterize the true concentration of the corrected exhaust gas at the current moment, improving the accuracy of exhaust gas concentration monitoring. Attached Figure Description

[0029] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0030] Figure 1 This is a block diagram of a waste gas monitoring and treatment system for the production of anti-clogging honeycomb denitrification catalysts, provided in one embodiment of the present invention. Detailed Implementation

[0031] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of a waste gas monitoring and treatment system for anti-clogging honeycomb denitrification catalyst production according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0032] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0033] The following description, in conjunction with the accompanying drawings, details the specific scheme of the waste gas monitoring and treatment system for the production of anti-clogging honeycomb denitrification catalysts provided by this invention.

[0034] Please see Figure 1 The diagram illustrates a block diagram of a waste gas monitoring and treatment system for the production of anti-clogging honeycomb denitrification catalysts according to an embodiment of the present invention. The system includes the following modules:

[0035] The data acquisition module S1 is used to acquire the concentration time series of different exhaust gases and the humidity time series of the same period.

[0036] In this embodiment of the invention, the implementation scenario is to monitor the concentration of exhaust gas produced by the anti-clogging honeycomb denitrification catalyst to improve the accuracy of concentration monitoring. First, the concentration time series of different exhaust gases and the humidity time series of the same period are obtained. In order to monitor the total exhaust gas emissions of the entire production line, an optical window and a DOAS differential absorption spectroscopy monitoring system are installed at the chimney outlet to monitor SO2 and NO. x Concentrations of waste gases such as NH3; because the DOAS monitoring system can only monitor some types of VOCs. s Therefore, an FTIR (Fourier Transform Infrared) spectroscopy monitoring system is also needed to monitor VOC concentration. s Concentration; simultaneously, a humidity sensor is installed at the concentration monitoring equipment. Monitoring begins at the start of production, collecting various data once per second. As the current moment updates, the concentration and humidity time series are updated synchronously; implementers can determine the collection method and frequency according to the implementation scenario.

[0037] The anomaly analysis module S2 is used to obtain the suspected anomaly degree based on the fluctuation characteristics of the concentration of exhaust gas over time and the difference characteristics between the concentration at the same time and the predicted concentration; to obtain the humidity characterization value, anomaly characterization value and discrete characterization value based on the distribution characteristics of the suspected anomaly degree corresponding to different humidity levels in the humidity time series; and to obtain the degree of humidity influence of exhaust gas based on the correlation characteristics of the changes in the anomaly characterization value and the humidity characterization value and the discrete characterization value.

[0038] Because some gases produced during the denitrification catalyst production process are easily soluble in water, and the denitrification catalyst production process often results in excessively high humidity in the environment, some exhaust gas monitoring data become unstable, affecting the accuracy of exhaust gas concentration monitoring and early warning. Therefore, it is necessary to correct some concentration data that are inaccurate due to humidity. Since exhaust gas concentration is related to the production process, raw material ratio, and dosage, the exhaust gas concentration data usually changes relatively smoothly. When the exhaust gas concentration data deviates significantly from the original trend, it may be due to humidity-induced anomalies in the exhaust gas monitoring data. Furthermore, the degree of suspected anomaly can be obtained based on the temporal fluctuation characteristics of the exhaust gas concentration and the difference between the concentration at the same time and the predicted concentration.

[0039] Preferably, in this embodiment of the invention, the step of obtaining the suspected anomaly degree includes: calculating the reciprocal of the standard deviation of the concentration within a preset time period before any time in the concentration time series to obtain a stable characteristic value within the preset time period; under normal circumstances, the trend of waste gas concentration change will not change significantly in a short period of time. In this embodiment of the invention, the preset time period is half a minute. The smaller the standard deviation of the concentration data within this half minute, the larger the stable characteristic value, and the more stable the concentration data of the waste gas. The concentration within the preset time period before any time is fitted using the least squares method to obtain a fitted straight line; the value of the fitted straight line at any time is used as the predicted concentration; the predicted concentration is obtained by fitting the trend of concentration change within the preset time period, which conforms to the trend of concentration change under normal circumstances. The absolute value of the difference between the concentration of the waste gas at any time and the predicted concentration is calculated to obtain the concentration difference value; the larger the concentration difference value, the more the concentration at any time deviates from the normal concentration change trend, and the more likely the monitoring data is to be abnormal due to humidity. The product of the concentration difference value and the stable characteristic value is calculated and normalized to obtain the suspected anomaly level of the exhaust gas at any given time. Since production conditions do not change frequently in a short period during normal production, if the concentration fluctuates significantly in the preceding period, it may be due to instability caused by other factors. In such cases, a large concentration difference value may be normal; therefore, the stable characteristic value is used as a reference factor for anomaly analysis. The larger both the concentration difference value and the stable characteristic value, the greater the suspected anomaly level, and the more likely the concentration monitoring data of the exhaust gas at any given time is to be abnormal.

[0040] Furthermore, changes in production process parameters can also cause concentration data to deviate from the original trend, resulting in a higher suspected anomaly at any given time. However, this reflects actual fluctuations in exhaust gas concentration, not humidity. Therefore, to improve the accuracy of concentration monitoring data, it is necessary to analyze whether the anomalies are caused by humidity. Different exhaust gases are affected by humidity to varying degrees. Exhaust gases that are easily soluble in water are more prone to anomalies in high humidity environments; while exhaust gases that are not easily soluble in water still show concentration data close to the true concentration under high humidity conditions. Therefore, humidity characterization values, anomaly characterization values, and discrete characterization values ​​can be obtained based on the distribution characteristics of suspected anomalies corresponding to different humidity levels in the humidity time series.

[0041] Preferably, in this embodiment of the invention, the steps of obtaining humidity characterization values, anomaly characterization values, and discrete characterization values ​​include: constructing a rectangular coordinate system relating humidity and suspected anomaly degree, with the horizontal axis representing humidity and the vertical axis representing the suspected anomaly degree of the exhaust gas at each humidity level; different times may correspond to a single humidity value, therefore, in the rectangular coordinate system, one value on the horizontal axis may correspond to multiple values ​​on the vertical axis. The humidity is divided into a preset number of humidity ranges; in this embodiment of the invention, the preset number is 20, and each humidity range can be considered to be at the same humidity level; when the exhaust gas is significantly affected by humidity, the suspected anomaly degree will increase with the increase of humidity. In a Cartesian coordinate system, the average Euclidean distance between any data point and all other data points within the humidity range is calculated to obtain the dispersion of that data point. A smaller average Euclidean distance indicates a higher density and smaller dispersion near the data point, meaning more similarity in the suspected anomaly levels under similar humidity conditions. This reduces the likelihood of being influenced by other production factors, and thus, the suspected anomaly level corresponding to that data point better characterizes the abnormal characteristics of the exhaust gas under that humidity condition. Conversely, a larger dispersion indicates greater differences in the suspected anomaly levels under similar humidity conditions, suggesting a greater likelihood of being influenced by multiple factors. Therefore, the humidity corresponding to the data point with the smallest dispersion is used as the humidity characterization value, the corresponding suspected anomaly level is used as the anomaly characterization value, and the minimum dispersion value is used as the discrete characterization value. The discrete characterization value represents the reliability of the suspected anomaly level in representing the influence of humidity on the exhaust gas. A smaller discrete characterization value means that the magnitude of the suspected anomaly level is more likely to be influenced by humidity factors.

[0042] If the abnormal characterization value increases with the increase of the humidity characterization value, it means that the concentration of the exhaust gas is significantly affected by humidity. Therefore, the degree of humidity influence on the exhaust gas can be obtained based on the correlation characteristics between the abnormal characterization value and the humidity characterization value, and the discrete characterization value. Preferably, in this embodiment of the invention, the step of obtaining the degree of humidity influence on the exhaust gas includes: calculating the difference between the humidity characterization value corresponding to any humidity range and the previous humidity range to obtain the humidity change value; calculating the difference between the abnormal characterization value corresponding to any humidity range and the previous humidity range to obtain the anomaly change value; calculating the reciprocal of the sum of the discrete characterization values ​​corresponding to any humidity range and the previous humidity range to obtain the influence weight; if the density between data points within a certain humidity range is small and the discrete characterization value is large, it means that the abnormal characterization value may be affected by multiple factors in production, and its influence weight is small in the calculation of the degree of humidity influence; calculating the ratio of the abnormal change value to the humidity change value corresponding to the same humidity range to obtain the change correlation degree; the larger the change correlation degree, the greater the difference in suspected anomaly degree with the increase of humidity, and the more easily the concentration of the exhaust gas is affected by humidity. Calculate the product of the change correlation degree and the influence weight to obtain the weighted change correlation degree; calculate the sum of the weighted change correlation degrees corresponding to all humidity ranges and normalize it to obtain the degree of humidity influence of the exhaust gas; the greater the degree of humidity influence, the more easily the concentration of the exhaust gas is affected by humidity. The formula for obtaining the degree of humidity influence includes:

[0043]

[0044] In the formula, H represents the degree of influence of humidity on any exhaust gas, norm() represents the normalization function, I represents the number of humidity ranges, and P i P represents the abnormal characterization value of the i-th humidity range. i -P i-1 W represents the anomaly change value between the i-th and (i-1)-th humidity ranges. i W represents the humidity characterization value for the i-th humidity range. i -W i-1 This represents the humidity change value between the i-th and (i-1)-th humidity ranges. D represents the degree of correlation of change. i This represents the discrete characterization value for the i-th humidity range. This represents the influence weight of the i-th and (i-1)-th humidity ranges. represents the weighted change correlation degree; 'a' represents a preset minimum positive number, which is 0.01 in this embodiment of the invention. It participates in the calculation when the denominator is 0.

[0045] The data processing module S3 is used to obtain the abnormality index of the exhaust gas based on the degree of humidity influence, the suspected abnormality at the current moment, and the humidity characteristics; obtain the corrected exhaust gas based on the abnormality index; obtain the concentration ratio based on the concentration characteristics of the corrected exhaust gas at the same moment and other exhaust gases; obtain the ratio weight of the historical moment based on the humidity characteristics at historical moments and the difference characteristics of the concentration ratios of all types at historical moments and other historical moments; and obtain the proportional characteristic value based on the concentration ratios and ratio weights of all historical moments.

[0046] If the humidity of the exhaust gas has a significant impact, and the suspected anomaly level and humidity are high at the current moment, it is more likely that the concentration monitoring data at the current moment deviates from the true concentration data. Therefore, the anomaly index of the exhaust gas can be obtained based on the degree of humidity influence, the suspected anomaly level at the current moment, and humidity characteristics. Preferably, in this embodiment of the invention, the step of obtaining the anomaly index includes: calculating the difference between the current humidity and the preset standard humidity to obtain the humidity difference value; the implementer can determine the preset standard humidity according to the implementation scenario; the larger the humidity difference value, the higher the humidity at the current moment. If the humidity influence of the exhaust gas is greater, the concentration at the current moment is more likely to be affected by high humidity. Calculate the product of the humidity difference value, the degree of humidity influence, and the suspected anomaly level at the current moment and normalize it to obtain the anomaly index of the exhaust gas at the current moment; when the humidity difference value, the degree of humidity influence, and the suspected anomaly level are all greater, the anomaly index is larger, which means that the concentration monitoring data of the exhaust gas at the current moment deviates more from the true concentration data in the production process, and more correction is needed.

[0047] Furthermore, after obtaining the anomaly index of all exhaust gases at the current moment, corrected exhaust gases can be obtained based on the anomaly index. Preferably, in this embodiment of the invention, the step of obtaining corrected exhaust gases includes: when the anomaly index exceeds a preset anomaly threshold, the exhaust gas is taken as corrected exhaust gas. In this embodiment of the invention, the preset anomaly threshold is 0.5, which can be determined by the implementer according to the implementation scenario. Corrected exhaust gas means that the concentration of the exhaust gas at the current moment deviates from the actual concentration due to the influence of humidity, and the concentration of the corrected exhaust gas at the current moment needs to be corrected to improve the accuracy of concentration monitoring; non-corrected exhaust gas means that the concentration monitoring data at the current moment is relatively normal.

[0048] Because exhaust gases are easily affected by humidity, concentration monitoring data becomes unstable in high-humidity environments, making it difficult to correct the current concentration based on the concentration characteristics of adjacent time points. During the production of denitrification catalysts, the proportional relationship between the concentrations of different exhaust gases is closely related to the proportion of raw materials and the production process. Since the proportion of raw materials and the process of denitrification catalyst production are not easily changed, the concentrations of different production exhaust gases have a relatively fixed correlation. Therefore, the concentration of the corrected exhaust gas can be corrected based on the proportional relationship between the concentrations of different gases. Ideally, the concentrations of different exhaust gases generated during the production process have a fixed proportion. First, the concentration ratio is obtained based on the concentration characteristics of the corrected exhaust gas and other exhaust gases at the same time. Specifically, this includes calculating the ratio of the concentration of the corrected exhaust gas to the concentration of other exhaust gases at the same time. It should be noted that the other exhaust gases are uncorrected exhaust gases. At each historical time point, there is a concentration ratio between the corrected exhaust gas and other uncorrected exhaust gases. Due to the influence of humidity or other production factors, the concentration ratio varies at each historical time point, and the selection of the concentration ratio affects the accuracy of the concentration correction. If the concentration ratios of any historical moment are close to those of multiple other historical moments, and the humidity of that historical moment is low, then the concentration ratio of that historical moment is closer to the ideal concentration ratio. Therefore, the ratio weight of a historical moment is obtained based on the humidity characteristics of the historical moment and the differences in the concentration ratios of all types of historical moments with other historical moments.

[0049] Preferably, in this embodiment of the invention, the step of obtaining the ratio weight includes: calculating the reciprocal of the humidity at a historical moment and normalizing it to obtain an environmental weight; the larger the environmental weight, the weaker the influence of humidity at that historical moment, and the closer the concentration monitoring data of the corrected exhaust gas at that historical moment is to the true value, and the more the concentration ratio of the corrected exhaust gas at that historical moment conforms to the actual concentration ratio. For the concentration ratio of the corrected exhaust gas to any other exhaust gas, calculate the absolute value of the difference between the concentration ratio at that historical moment and any other historical moment to obtain the ratio difference; the smaller the ratio difference, the closer the concentration ratios at the two historical moments are. Calculate the reciprocal of the sum of the ratio differences between the corrected exhaust gas and all other exhaust gases at the same moment to obtain the ratio similarity between the historical moment and any other historical moment; the smaller all ratio differences at the two historical moments, the larger the ratio similarity, meaning that the concentration ratios of the corrected exhaust gas and all other exhaust gases at the two historical moments are closer. Calculate the average similarity of the ratios between this historical moment and all other historical moments to obtain the average similarity of the ratios. A higher average similarity means that the concentration ratios of this historical moment are more similar to those of other historical moments, indicating that the concentration ratio of the exhaust gases at this historical moment is closer to the ideal concentration ratio. Calculate the product of the average similarity and the environmental weight to obtain the ratio weight of this historical moment. A higher average similarity and environmental weight result in a higher ratio weight for this historical moment, meaning that the concentration ratio at this historical moment is more reliable and closer to the actual exhaust gas concentration ratio during production. The formulas for obtaining the ratio weight include:

[0050]

[0051] In the formula, R m T represents the ratio weight at the m-th historical moment, norm() represents the normalization function, and T m This represents the humidity at the m-th historical moment. Let B represent the environmental weight, B represent the number of historical moments other than the m-th historical moment, F represent the number of other exhaust gases that are not corrected exhaust gases, and K represent the environmental weight. f,m K represents the concentration ratio of the f-th other waste gas at time m. f,b |K represents the concentration ratio of the f-th other waste gas at time b. f,m -K f,b | indicates the difference in the ratio of the f-th other exhaust gas at time m to time b. The ratio represents the similarity, where 'a' represents a preset minimum positive number, which is 0.01 in this embodiment of the invention. The ratio is used in the calculation when the denominator is 0. This represents the average similarity of the ratios at the m-th historical moment.

[0052] Furthermore, the proportional characteristic value can be obtained based on the concentration ratios and ratio weights at all historical moments. Preferably, in this embodiment of the invention, the step of obtaining the proportional characteristic value includes: calculating the product of the concentration ratio at each historical moment and the ratio weight to obtain the weighted concentration ratio of the corrected waste gas with other waste gases; the larger the ratio weight, the closer the concentration ratio at that historical moment is to the actual waste gas concentration ratio during the production process. The average of the weighted concentration ratios at all historical moments is calculated to obtain the proportional characteristic value of the corrected waste gas with other waste gases. The proportional characteristic value characterizes the concentration ratio feature of the corrected waste gas and the other waste gases that approximates the actual concentration ratio.

[0053] The concentration correction module S4 is used to obtain the corrected concentration of the corrected waste gas at the current moment based on the ratio characteristic value of the corrected waste gas to all other waste gases and the concentration of all other waste gases.

[0054] After obtaining the proportional characteristic value of the corrected waste gas compared to all other waste gases, the corrected concentration of the corrected waste gas at the current moment can be obtained based on the proportional characteristic value of the corrected waste gas compared to all other waste gases and the concentration of all other waste gases. Preferably, in this embodiment of the invention, the step of obtaining the corrected concentration includes: calculating the product of the proportional characteristic value of the corrected waste gas and the other waste gases and the concentration of the other waste gases at the current moment to obtain the initial correction value corresponding to the corrected waste gas and the other waste gases; the initial correction value represents the concentration value of the corrected waste gas obtained based on the concentration characteristics of the other waste gases. The average value of the initial correction values ​​corresponding to the corrected waste gas and all other waste gases is calculated to obtain the corrected concentration of the corrected waste gas at the current moment. This corrected concentration is obtained based on the proportional characteristic value and concentration of the other waste gases, thereby avoiding the situation where the concentration monitoring is inaccurate due to humidity factors at the current moment, and improving the accuracy of waste gas concentration monitoring in the denitrification catalyst. The formula for obtaining the corrected concentration includes:

[0055]

[0056] In the formula, J represents the correction concentration of the corrected exhaust gas, F represents the quantity of other exhaust gases that are not corrected, and L represents the concentration of the corrected exhaust gas. f Z represents the characteristic value of the ratio of the corrected exhaust gas to the f-th other exhaust gas. f L represents the concentration of the f-th other waste gas at the current moment. f *Z f This represents the initial correction value. After obtaining the corrected concentration of all corrected exhaust gases at the current moment, concentration monitoring and early warning can be performed based on the corrected concentration.

[0057] In summary, this invention provides a waste gas monitoring and treatment system for the production of anti-clogging honeycomb denitrification catalysts. It obtains suspected anomalies based on the fluctuation characteristics of concentration over time and the difference between the current concentration and the predicted concentration; it obtains the degree of humidity influence based on the distribution characteristics of the suspected anomalies corresponding to humidity; it obtains corrected waste gas based on the degree of humidity influence, suspected anomalies, and humidity characteristics; it obtains the concentration ratio based on the concentration of the corrected waste gas and other waste gases; it obtains the ratio weight based on the humidity characteristics at historical times and the concentration ratios of all types at different historical times; and it obtains a proportional characteristic value based on the concentration ratios and ratio weights at all historical times. This invention improves the accuracy of waste gas concentration monitoring by obtaining the corrected concentration of the corrected waste gas at the current time based on the proportional characteristic value and the concentrations of other waste gases.

[0058] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0059] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A waste gas monitoring and treatment system for the production of anti-clogging honeycomb denitrification catalysts, characterized in that, The system includes the following modules: The data acquisition module is used to acquire the concentration time series of different exhaust gases and the humidity time series of the same period; The anomaly analysis module is used to obtain the suspected anomaly degree based on the fluctuation characteristics of the concentration of the exhaust gas over time and the difference characteristics between the concentration at the same time and the predicted concentration; to obtain the humidity characterization value, anomaly characterization value and discrete characterization value based on the distribution characteristics of the suspected anomaly degree corresponding to different humidity levels in the humidity time series; and to obtain the degree of humidity influence of the exhaust gas based on the correlation characteristics of the changes in the anomaly characterization value and the humidity characterization value and the discrete characterization value. The data processing module is used to obtain the anomaly index of the exhaust gas based on the degree of humidity influence, the suspected anomaly level at the current moment, and the humidity characteristics; obtain the corrected exhaust gas based on the anomaly index; obtain the concentration ratio based on the concentration characteristics of the corrected exhaust gas at the same moment and other exhaust gases; obtain the ratio weight of the historical moment based on the humidity characteristics at historical moments and the difference characteristics of the concentration ratios of all types at the historical moment and other historical moments; and obtain the proportion feature value based on the concentration ratios and ratio weights of all historical moments. The concentration correction module is used to obtain the corrected concentration of the corrected waste gas at the current moment based on the ratio characteristic value of the corrected waste gas to all other waste gases and the concentration of all other waste gases. The step of obtaining the suspected anomaly level based on the temporal fluctuation characteristics of the exhaust gas concentration and the difference between the concentration at the same time and the predicted concentration includes: Calculate the reciprocal of the standard deviation of the concentration over a preset time period before any time in the concentration time series to obtain a stable characteristic value over the preset time period; fit the concentration over the preset time period before any time using the least squares method to obtain a fitted straight line; use the value of the fitted straight line at any time as the predicted concentration; calculate the absolute value of the difference between the concentration of the exhaust gas at any time and the predicted concentration to obtain a concentration difference value; calculate the product of the concentration difference value and the stable characteristic value and normalize it to obtain the suspected anomaly degree of the exhaust gas at any time; The step of obtaining humidity characterization values, anomaly characterization values, and discrete characterization values ​​based on the distribution characteristics of suspected anomalies corresponding to different humidity levels in the humidity time series includes: Construct a Cartesian coordinate system relating humidity and the suspected anomaly level, with humidity on the horizontal axis and the suspected anomaly level of the exhaust gas at each humidity level at any given time. Divide the humidity into a preset number of humidity ranges. Calculate the average Euclidean distance between any data point within each humidity range and all other data points in the Cartesian coordinate system to obtain the dispersion of any data point. Use the humidity corresponding to the data point with the smallest dispersion as the humidity characterization value, the corresponding suspected anomaly level as the anomaly characterization value, and the minimum dispersion value as the discrete characterization value. The step of obtaining the degree of humidity influence of the exhaust gas based on the correlation characteristics of changes in abnormal characterization values ​​and humidity characterization values, and discrete characterization values, includes: Calculate the difference between the humidity characterization value corresponding to any humidity range and the previous humidity range to obtain the humidity change value; calculate the difference between the abnormal characterization value corresponding to any humidity range and the previous humidity range to obtain the abnormality change value; calculate the reciprocal of the sum of the discrete characterization values ​​corresponding to any humidity range and the previous humidity range to obtain the influence weight; calculate the ratio of the abnormality change value to the humidity change value corresponding to the same humidity range to obtain the change correlation degree; calculate the product of the change correlation degree and the influence weight to obtain the weighted change correlation degree; calculate the sum of the weighted change correlation degrees corresponding to all humidity ranges and normalize it to obtain the degree of humidity influence of the exhaust gas. The step of obtaining the abnormality index of the exhaust gas based on the degree of humidity influence, the suspected abnormality at the current moment, and the humidity characteristics includes: Calculate the difference between the current humidity and the preset standard humidity to obtain the humidity difference value; calculate the product of the humidity difference value, the degree of humidity influence, and the suspected anomaly degree at the current moment, and normalize it to obtain the anomaly index of the exhaust gas at the current moment.

2. The waste gas monitoring and treatment system for the production of anti-clogging honeycomb denitrification catalyst according to claim 1, characterized in that, The step of obtaining corrected exhaust gas based on the anomaly index includes: When the abnormality index exceeds the preset abnormality threshold, the exhaust gas is used as corrective exhaust gas.

3. The waste gas monitoring and treatment system for the production of anti-clogging honeycomb denitrification catalyst according to claim 1, characterized in that, The step of obtaining the concentration ratio based on the concentration characteristics of the corrected exhaust gas and other exhaust gases at the same time includes: The concentration ratio is obtained by calculating the ratio of the concentration of the corrected exhaust gas to that of other exhaust gases at the same time.

4. The waste gas monitoring and treatment system for the production of anti-clogging honeycomb denitrification catalyst according to claim 1, characterized in that, The step of obtaining the ratio weight of the historical time based on the humidity characteristics of the historical time and the difference characteristics of the concentration ratios of all types of the historical time with other historical times includes: Calculate the reciprocal of the humidity at the historical moment and normalize it to obtain the environmental weight; for the concentration ratio of the corrected exhaust gas to any other exhaust gas, calculate the absolute value of the difference between the concentration ratios at the historical moment and any other historical moment to obtain the ratio difference; calculate the reciprocal of the sum of the ratio differences between the corrected exhaust gas and all other exhaust gases at the same moment to obtain the ratio similarity between the historical moment and any other historical moment; calculate the average ratio similarity between the historical moment and all other historical moments to obtain the average ratio similarity of the historical moment; calculate the product of the average ratio similarity and the environmental weight to obtain the ratio weight of the historical moment.

5. The waste gas monitoring and treatment system for the production of anti-clogging honeycomb denitrification catalyst according to claim 1, characterized in that, The step of obtaining the proportional characteristic value based on the concentration ratios and ratio weights at all historical moments includes: Calculate the product of the concentration ratio at the historical time point and the weight of the ratio to obtain the weighted concentration ratio of the corrected exhaust gas and other exhaust gases; calculate the average of the weighted concentration ratios at all historical time points to obtain the proportional characteristic value of the corrected exhaust gas and other exhaust gases.

6. The waste gas monitoring and treatment system for the production of anti-clogging honeycomb denitrification catalyst according to claim 1, characterized in that, The step of obtaining the corrected concentration of the corrected exhaust gas at the current moment based on the ratio characteristic value of the corrected exhaust gas to all other exhaust gases and the concentrations of all other exhaust gases includes: Calculate the product of the ratio characteristic value of the corrected exhaust gas and other exhaust gases and the concentration of the other exhaust gases at the current time to obtain the initial correction value corresponding to the corrected exhaust gas and the other exhaust gases; calculate the average value of the initial correction values ​​corresponding to the corrected exhaust gas and all other exhaust gases to obtain the corrected concentration of the corrected exhaust gas at the current time.

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