Waste gas monitoring and processing system for production of anti-ash-clogging honeycomb type denitration catalyst

Abstract

The invention relates to the technical field of data processing, in particular to a waste gas monitoring and processing system for production of an anti-ash-clogging honeycomb type denitration catalyst. Obtaining suspected anomalies according to the fluctuation characteristics of the concentration time sequence and the difference characteristics of the concentration and the predicted concentration; obtaining the humidity influence degree according to the distribution characteristics of the suspected anomaly degree corresponding to the humidity; obtaining corrected waste gas according to the humidity influence degree, the suspected anomaly degree and the humidity characteristics; obtaining a concentration ratio according to the concentrations of the corrected waste gas and other waste gas; obtaining a ratio weight according to the humidity characteristics at the historical moments and the concentration ratios of all types at different historical moments; and obtaining a proportion characteristic value according to the concentration ratio and the ratio weight at 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] The present invention relates to the technical field of data processing, and in particular to an exhaust gas monitoring and processing system for the production of an anti-ash-clogging honeycomb denitrification catalyst. Background Art

[0002] The production process of anti-clogging honeycomb denitrification catalyst will produce SO2 and NO x , NH3, VOC s And other gases, including NH3, VOC s Flammable and explosive, too high a concentration will cause the risk of combustion and explosion; SO2, NO x Gases such as these are highly corrosive and toxic. Excessive concentrations can corrode equipment and harm the health of personnel involved. Therefore, it is necessary to monitor exhaust gas concentrations during production and take timely action based on changes in exhaust gas concentrations to reduce production risks.

[0003] During the production of denitrification catalysts, excessive humidity is a common phenomenon. For example, the generation of water during the reaction, the release of water when water-containing raw materials are heated, and the condensation system cools down too quickly, causing water vapor to condense into water droplets. These situations will all lead to high ambient humidity. A high humidity environment will cause some water-soluble gases such as SO2 and NH3 to be absorbed by water, making the concentration monitoring data of such waste gas less accurate, making it difficult to reflect the actual concentration of the waste gas, and affecting the accuracy of subsequent waste gas concentration warnings. Summary of the Invention

[0004] In order to solve the above-mentioned technical problem that the accuracy of exhaust gas concentration monitoring data is low due to the dissolution of part of the exhaust gas in water, which affects the accuracy of concentration warning, the purpose of the present invention is to provide an exhaust gas monitoring and treatment system for the production of anti-ash plugging honeycomb denitrification catalysts. The technical solutions adopted are as follows:

[0005] Data acquisition module, used to obtain the concentration time series of different exhaust gases and the humidity time series of the same period;

[0006] An anomaly analysis module is used to obtain a suspected anomaly degree based on the fluctuation characteristics of the exhaust gas concentration time series and the difference characteristics between the concentration at the same time and the predicted concentration; obtain a humidity characterization value, an anomaly characterization value, and a discrete characterization value based on the distribution characteristics of the suspected anomaly degrees corresponding to different humidity levels in the humidity time series; and obtain the humidity impact degree of the exhaust gas based on the change correlation characteristics of the anomaly characterization value and the humidity characterization value and the discrete characterization value;

[0007] a data processing module configured to obtain an anomaly index of the exhaust gas based on the humidity impact degree, the suspected anomaly degree at the current moment, and the humidity characteristics; obtain a corrected exhaust gas based on the anomaly index; obtain a concentration ratio based on the concentration characteristics of the corrected exhaust gas and other exhaust gases at the same moment; obtain a ratio weight at the historical moment based on the humidity characteristics at the historical moment and the difference characteristics of all types of concentration ratios between the historical moment and other historical moments; and obtain a proportional characteristic value based on the concentration ratios and ratio weights at all historical moments;

[0008] The concentration correction module is used to obtain a corrected concentration of the corrected exhaust gas at a current moment according to a characteristic value of a ratio of the corrected exhaust gas to all other exhaust gases and the concentrations of all other exhaust gases.

[0009] Furthermore, the step of obtaining the suspected abnormality degree according to the fluctuation characteristics of the exhaust gas concentration time series and the difference characteristics between the concentration at the same time and the predicted concentration includes:

[0010] Calculate the inverse of the standard deviation of the concentration within a preset time period before any moment in the concentration time series to obtain a stable characteristic value within the preset time period; fit the concentration within the preset time period before any moment by the least squares method to obtain a fitting straight line; use the value of the fitting straight line at any moment as the predicted concentration; calculate the absolute value of the difference between the concentration of the exhaust gas at any moment 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 them to obtain the suspected abnormality of the exhaust gas at any moment.

[0011] Furthermore, the step of obtaining a humidity characterization value, an abnormality characterization value, and a discrete characterization value according to the distribution characteristics of the suspected abnormality degrees corresponding to different humidity levels in the humidity time series includes:

[0012] Construct a rectangular coordinate system for humidity and the suspected abnormality, with the horizontal axis being humidity and the vertical axis being the suspected abnormality of the exhaust gas at each humidity corresponding moment; divide the humidity into a preset number of humidity ranges on average; calculate the average Euclidean distance between any data point and all other data points in the humidity range in the rectangular coordinate system to obtain the discreteness of the arbitrary data point; take the humidity corresponding to the data point with the smallest discreteness as the humidity characterization value, the corresponding suspected abnormality as the abnormality characterization value, and take the minimum discreteness value as the discrete characterization value.

[0013] Furthermore, the step of obtaining the humidity influence degree of the exhaust gas according to the change correlation characteristics and discrete characterization values ​​of the abnormal characterization value and the humidity characterization value 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 abnormality change value; calculate the inverse 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; calculate the product of the change correlation and the influence weight to obtain the weighted change correlation; calculate the sum of the weighted change correlations corresponding to all humidity ranges and normalize them to obtain the humidity influence degree of the exhaust gas.

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

[0016] The difference between the humidity at the current moment and the preset standard humidity is calculated to obtain a humidity difference value; the product of the humidity difference value, the humidity influence degree, and the suspected abnormality degree at the current moment is calculated and normalized to obtain an abnormality index of the exhaust gas at the current moment.

[0017] Furthermore, the step of obtaining the corrected exhaust gas according to the abnormality index includes:

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

[0019] Furthermore, the step of obtaining a 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 of the corrected exhaust gas and other exhaust gases at the same time is calculated to obtain the concentration ratio.

[0021] Furthermore, the step of obtaining the ratio weight of the historical moment according to the humidity characteristics of the historical moment and the difference characteristics of all types of concentration ratios between the historical moment and other historical moments includes:

[0022] Calculate the inverse 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 inverse of the sum of the ratio differences corresponding to 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 value of the ratio similarities between the historical moment and all other historical moments to obtain the average ratio similarity at the historical moment; calculate the product of the average ratio similarity and the environmental weight to obtain the ratio weight at the historical moment.

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

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

[0025] Furthermore, the step of obtaining a corrected concentration of the corrected exhaust gas at a current moment based on a characteristic value of a ratio 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 proportional characteristic value of the corrected exhaust gas and other exhaust gases and the concentration of the other exhaust gases at the current moment to obtain the initial correction values ​​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 moment.

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

[0028] In the present invention, obtaining a suspected abnormality degree can determine whether a concentration abnormality exists based on concentration trend characteristics. Obtaining a humidity characteristic value and an abnormality characteristic value can be used to analyze whether humidity affects exhaust gas concentration changes. The discrete characteristic value can reflect the reliability of the humidity influence calculated based on the abnormality characteristic value. Obtaining the humidity influence degree of the exhaust gas can reflect the degree to which the exhaust gas concentration change is affected by humidity, thereby improving the accuracy of determining the corrected exhaust gas. Obtaining an abnormality index can indicate whether the exhaust gas concentration monitoring data 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 ratios between the various exhaust gases in the denitrification catalyst production process are relatively fixed, obtaining a concentration ratio can be used to correct the concentration of the corrected exhaust gas. Obtaining a ratio weight can determine the reliability of the concentration ratios between the corrected exhaust gas and other exhaust gases at different historical moments, thereby improving the accuracy of the correction. Obtaining a ratio characteristic value can indicate the size of the ratio of the corrected exhaust gas to the other exhaust gas close to the true concentration ratio. Finally, obtaining the corrected concentration can indicate the true concentration of the corrected exhaust gas at the current moment, improving the accuracy of exhaust gas concentration monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0030] Figure 1 A block diagram of an exhaust gas monitoring and processing system for producing an anti-ash-clogging honeycomb denitrification catalyst provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0031] To further illustrate the technical means and effectiveness of 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 effectiveness of an exhaust gas monitoring and treatment system for producing a ash-blocking-resistant honeycomb denitrification catalyst according to the present invention. In the following description, references to different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0032] Unless defined otherwise, 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 belongs.

[0033] The following describes in detail a specific scheme of an exhaust gas monitoring and treatment system for producing an anti-ash-clogging honeycomb denitrification catalyst provided by the present invention in conjunction with the accompanying drawings.

[0034] See also Figure 1 , which shows a block diagram of an exhaust gas monitoring and processing system for producing an anti-clogging honeycomb denitrification catalyst provided by one embodiment of the present invention. The system includes the following modules:

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

[0036] In the embodiment of the present invention, the implementation scenario is to monitor the exhaust gas concentration of the anti-clogging honeycomb denitrification catalyst production 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, NO x , NH3 and other exhaust gas concentrations; because the DOAS monitoring system can only monitor some types of VOC s concentration, so it is also necessary to set up an FTIR Fourier transform infrared spectroscopy monitoring system to monitor VOC s Concentration; Humidity sensors are also installed at the concentration monitoring equipment. Monitoring begins at the start of production, collecting data once per second. As the current time is updated, the concentration and humidity time series are synchronized. Implementers can determine the collection method and frequency based on the implementation scenario.

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

[0038] Because some gases in the denitrification catalyst production process are easily soluble in water, and the denitrification catalyst production process usually causes excessive humidity in the environment, making some exhaust gas monitoring data unstable, affecting the accuracy of exhaust gas concentration monitoring and concentration warning; therefore, it is necessary to correct some concentration data that is affected by humidity and causes inaccurate monitoring. Since exhaust gas concentration is related to the production process, raw material ratio and dosage, under normal circumstances, the exhaust gas concentration data changes relatively smoothly; when the exhaust gas concentration data deviates significantly from the original change trend, it may be that the exhaust gas monitoring data is abnormal due to humidity. Then, the suspected abnormality degree can be obtained based on the fluctuation characteristics of the exhaust gas concentration time series and the difference characteristics between the concentration at the same time and the predicted concentration.

[0039] Preferably, in an embodiment of the present invention, the step of obtaining the suspected abnormality includes: calculating the inverse of the standard deviation of the concentration within a preset time length before any moment in the concentration time series, and obtaining a stable characteristic value within the preset time length; under normal circumstances, the trend of exhaust gas concentration change will not change significantly in a short period of time. In an embodiment of the present invention, the preset time length is half a minute. When the standard deviation of the concentration data within the half minute is smaller, the stable characteristic value is larger, and the concentration data of the exhaust gas is more stable. The concentration within the preset time length before any moment is fitted by the least squares method to obtain a fitting straight line; the value of the fitting straight line at any moment is used as the predicted concentration; the predicted concentration is obtained by fitting the concentration change trend within the preset time length, which is consistent with the concentration change trend under normal circumstances. Calculate the absolute value of the difference between the concentration of the exhaust gas at any moment and the predicted concentration to obtain a concentration difference value; when the concentration difference value is larger, it means that the concentration at any moment deviates more from the normal concentration change trend, and the monitoring data is more likely to be abnormal due to humidity. The product of the concentration difference value and the stable eigenvalue is calculated and normalized to obtain the suspected abnormality degree of the exhaust gas at any given moment. Since production conditions do not change frequently in a short period of time during normal production, if the concentration fluctuates significantly in the period before the given moment, the concentration may be unstable due to interference from other factors. In this case, a large concentration difference value may also be normal. Therefore, the stable eigenvalue is used as a reference factor for abnormality analysis. The larger the concentration difference value and the stable eigenvalue, the greater the suspected abnormality degree, and the more likely the exhaust gas concentration monitoring data at that moment is abnormal.

[0040] Further, when the production process parameters change, etc., it can also cause the concentration data to deviate from the original change trend, resulting in a larger suspected abnormality at this moment, but at this time it is the real exhaust gas concentration fluctuation, not affected by humidity factors; therefore, in order to improve the accuracy of the concentration monitoring data, it is necessary to analyze whether the concentration monitoring data anomaly is caused by humidity. Because different exhaust gases are affected by humidity to different degrees, the exhaust gas that is easily soluble in water is more likely to have monitoring data anomalies in a high humidity environment; and the exhaust gas that is not easily soluble in water still has concentration monitoring data close to the real concentration data in a high humidity environment. Therefore, the humidity characterization value, the abnormal characterization value and the dispersion characterization value can be obtained according to the distribution characteristics of the suspected abnormality corresponding to different humidity in the humidity time sequence.

[0041] Preferably, in the embodiments of the present application, the step of obtaining the humidity characterization value, the abnormal characterization value and the dispersion characterization value includes: constructing a rectangular coordinate system about humidity and suspected abnormality, the horizontal axis is humidity, and the vertical axis is the suspected abnormality of the exhaust gas at the corresponding time of each humidity; different time points may correspond to a humidity value, so in the rectangular coordinate system, the value of one horizontal coordinate may correspond to multiple values of the vertical coordinate. The humidity is evenly divided into a preset number of humidity ranges, in the embodiments of the present application, the preset number is 20, and each humidity range can be considered as the same humidity level; when the exhaust gas is greatly affected by humidity, as the humidity increases, the suspected abnormality will increase accordingly. In the rectangular coordinate system, the average Euclidean distance between any data point in the humidity range and all other data points is calculated to obtain the dispersion of the data point; when the average Euclidean distance is smaller, it means that the density near the data point is larger, and the dispersion is smaller, that is, the suspected abnormality under similar humidity conditions is more similar, at this time the possibility of being affected by other production factors is smaller, and then the suspected abnormality corresponding to the data point can better represent the abnormal characteristics of the exhaust gas under the humidity condition; on the contrary, the larger the dispersion is, the greater the difference between the suspected abnormality under similar humidity conditions is, and the more likely it is to be affected by multiple factors. Therefore, the humidity corresponding to the data point with the smallest dispersion is taken as the humidity characterization value, the corresponding suspected abnormality is taken as the abnormal characterization value, and the minimum dispersion is taken as the dispersion characterization value; the dispersion characterization value represents the credibility of the suspected abnormality representing the exhaust gas affected by humidity, and the smaller the dispersion characterization value is, the more likely the size of the suspected abnormality is affected by humidity factors.

[0042] If the abnormality characterization value increases with the humidity characterization value, it means that the exhaust gas concentration is significantly affected by humidity. The degree of humidity influence on the exhaust gas can then be determined based on the correlation characteristics of the abnormality characterization value and the humidity characterization value, as well as the discrete characterization value. Preferably, in an embodiment of the present invention, the step of determining 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 a humidity change value; calculating the difference between the abnormality characterization value corresponding to any humidity range and the previous humidity range to obtain an abnormality change value; calculating the inverse of the sum of the discrete characterization values ​​corresponding to any humidity range and the previous humidity range to obtain an influence weight; if the density of data points within a humidity range is low and the discrete characterization value is large, this indicates that the abnormality characterization value may be affected by multiple factors in production and therefore has a low influence weight in calculating the degree of humidity influence. The ratio of the abnormality change value to the humidity change value corresponding to the same humidity range is calculated to obtain a change correlation; a higher change correlation indicates that the difference in suspected abnormality increases with increasing humidity, and the exhaust gas concentration is more susceptible to humidity influence. Calculate the product of the change correlation and the influence weight to obtain the weighted change correlation; calculate the sum of the weighted change correlation corresponding to all humidity ranges and normalize it to obtain the humidity influence degree of the exhaust gas; the greater the humidity influence degree, the more susceptible the exhaust gas concentration is to humidity. The formula for obtaining the humidity influence degree includes:

[0043]

[0044] Where H represents the degree of humidity influence of any exhaust gas, norm( ) represents the normalization function, I represents the number of humidity ranges, and P i represents the abnormal characterization value of the i-th humidity range, P i -P i-1 represents the abnormality change value between the i-th and i-1-th humidity ranges, W i Represents the humidity characterization value of the i-th humidity range, W i -W i-1 Represents the humidity change value between the i-th and i-1-th humidity ranges, Indicates the change correlation, D i represents the discrete representation value of the i-th humidity range, represents the influence weight of the i-th and i-1-th humidity ranges, represents the weighted change correlation; a represents a preset minimum positive number, which is 0.01 in the embodiment of the present invention, and is included 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 degree and humidity characteristics at the current moment; obtain the corrected exhaust gas based on the abnormality index; obtain the concentration ratio based on the concentration characteristics of the corrected exhaust gas and other exhaust gases at the same moment; obtain the ratio weight of the historical moment based on the humidity characteristics of the historical moment and the difference characteristics of all types of concentration ratios between the historical moment and other historical moments; obtain the proportional characteristic value based on the concentration ratios and ratio weights of all historical moments.

[0046] If the humidity influence of the waste gas is large, and the suspected abnormality and humidity at the current moment are large, it is more likely that the concentration monitoring data at the current moment deviates from the real concentration data. Therefore, the abnormality index of the waste gas can be obtained according to the humidity influence, the suspected abnormality at the current moment and the humidity characteristics; preferably, in an embodiment of the present invention, the step of obtaining the abnormality index includes: calculating the difference between the humidity at the current moment and the preset standard humidity to obtain the humidity difference value; the implementer can determine the preset standard humidity according to the implementation scenario; when the humidity difference value is larger, it means that the humidity at the current moment is higher. If the humidity influence of the waste gas is larger, the concentration at the current moment is more likely to be affected by high humidity. Calculate the product of the humidity difference value, the humidity influence degree, and the suspected abnormality at the current moment and normalize them to obtain the abnormality index of the waste gas at the current moment; when the humidity difference value, the humidity influence degree and the suspected abnormality are all larger, the larger the abnormality index is, which means that the waste concentration monitoring data at the current moment deviates more from the real concentration data in the production process and needs to be corrected more.

[0047] Furthermore, after obtaining the abnormality index of all exhaust gases at the current moment, corrected exhaust gases can be obtained based on the abnormality index. Preferably, in an embodiment of the present invention, the step of obtaining the corrected exhaust gases includes: when the abnormality index exceeds a preset abnormality threshold, the exhaust gases are used as corrected exhaust gases. In this embodiment of the present invention, the preset abnormality threshold is 0.5, which can be determined by the implementer based on the implementation scenario. Corrected exhaust gases mean that the concentration of the exhaust gases at the current moment deviates from the concentration monitoring data due to humidity, and the concentration of the corrected exhaust gases at the current moment needs to be corrected to improve the accuracy of concentration monitoring. Uncorrected exhaust gases mean that the concentration monitoring data at the current moment is relatively normal.

[0048] The concentration monitoring data of exhaust gas susceptible to humidity is unstable in a high humidity environment, and it is difficult to correct the concentration of the current time according to the concentration characteristics of adjacent time. In the production process of denitration catalyst, the proportional relationship between the concentrations of different exhaust gases is closely related to the proportion of raw materials and the production process, and the proportion of raw materials in the production process of denitration catalyst will not be easily changed, so the concentrations of different production exhaust gases have a relatively fixed correlation, and then the concentration of the corrected exhaust gas can be corrected according to the proportional relationship between the concentrations of different gases. In the ideal state, the concentrations of different exhaust gases generated in the production process have a fixed proportion; first, the concentration ratio is obtained according to the concentration characteristics of the corrected exhaust gas and other exhaust gases at the same time; specifically including: calculating the concentration ratio of the corrected exhaust gas and other exhaust gases at the same time, and obtaining the concentration ratio; it should be noted that the other exhaust gas is a non-corrected exhaust gas. There is a concentration ratio between the corrected exhaust gas and other non-corrected exhaust gas at each historical time, due to the influence of humidity or other production factors, the concentration ratio at each historical time is different, and the selection of the concentration ratio affects the accuracy of the concentration correction. If the concentration ratio of an arbitrary historical time and a plurality of other historical times is relatively close, and the humidity of the arbitrary historical time is low, then the concentration ratio of the arbitrary historical time is closer to the concentration ratio in the ideal state; therefore, the ratio weight of the historical time is obtained according to the humidity characteristics of the historical time, the difference characteristics of all kinds of concentration ratios between the historical time and other historical times.

[0049] Preferably, in the embodiments of the present application, the step of obtaining the ratio weight comprises: calculating the reciprocal of the humidity at the historical time and normalizing to obtain the environment weight; the greater the environment weight, the weaker the influence of the humidity at the historical time, the closer the concentration monitoring data of the modified exhaust gas at the historical time to the true value, and the closer the concentration ratio of the modified exhaust gas to other exhaust gases at the historical time to the actual concentration ratio. For the concentration ratio of the modified exhaust gas to any other exhaust gas, calculate the absolute value of the difference between the concentration ratio at the historical time and at any other historical time to obtain the ratio difference; the smaller the ratio difference, the closer the concentration ratio at the two historical times. Calculate the reciprocal of the sum of the ratio differences corresponding to the modified exhaust gas and all other exhaust gases at the same time to obtain the ratio similarity between the historical time and any other historical time; the smaller all the ratio differences between the two historical times, the greater the ratio similarity, which means that the concentration ratios of the modified exhaust gas and all other exhaust gases at the two historical times are closer. Calculate the average value of the ratio similarity between the historical time and all other historical times to obtain the average ratio similarity at the historical time; the greater the average ratio similarity, the more similar the concentration ratios at the historical time and other historical times, which means that the concentration proportional relationship between the exhaust gases at the historical time is closer to the concentration proportional relationship in the ideal state. Calculate the product of the average ratio similarity and the environment weight to obtain the ratio weight at the historical time; the greater the average ratio similarity and the environment weight, the greater the ratio weight at the historical time, which means that the reliability of the concentration ratio at the historical time is greater and closer to the actual exhaust gas concentration proportional relationship in the production process. The formula for obtaining the ratio weight comprises:

[0050]

[0051] wherein, R m represents the ratio weight at the mth historical time, norm( ) represents the normalization function, T m represents the humidity at the mth historical time, represents the environment weight, B represents the number of other historical times except the mth historical time, F represents the number of other exhaust gases other than the modified exhaust gas, K f,m represents the concentration ratio of the fth other exhaust gas at the mth time, K f,b represents the concentration ratio of the fth other exhaust gas at the bth time, |K f,m -K f,b |represents the ratio difference of the fth other exhaust gas at the mth time and the bth time, represents the ratio similarity, wherein a represents a preset minimum positive number, which is 0.01 in the embodiments of the present application, and when the denominator is 0, it is involved in the calculation, represents the average ratio similarity at the mth historical time.

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

[0053] The concentration correction module S4 is configured to obtain a corrected concentration of the corrected exhaust gas at a current moment according to a characteristic value of a ratio of the corrected exhaust gas to all other exhaust gases and the concentrations of all other exhaust gases.

[0054] After obtaining the proportional characteristic value of the corrected exhaust gas and all other exhaust gases, the corrected concentration of the corrected exhaust gas at the current moment can be obtained based on the proportional characteristic value of the corrected exhaust gas and all other exhaust gases and the concentration of all other exhaust gases; preferably, in an embodiment of the present invention, the step of obtaining the corrected concentration includes: calculating the product of the proportional characteristic value of the corrected exhaust gas and the concentration of other exhaust gases at the current moment, and obtaining the initial correction value corresponding to the corrected exhaust gas and the other exhaust gas; the initial correction value characterizes the concentration value of the corrected exhaust gas obtained based on the concentration characteristics of the other exhaust gas. Calculate the average value of the initial correction value corresponding to the corrected exhaust gas and all other exhaust gases to obtain the corrected concentration of the corrected exhaust gas at the current moment. The corrected concentration is obtained based on the proportional characteristic value and concentration of other exhaust gases, thereby avoiding the situation where the concentration monitoring is inaccurate due to humidity factors at the current moment, and improving the accuracy of exhaust gas concentration monitoring in the denitration catalyst. The formula for obtaining the corrected concentration includes:

[0055]

[0056] Where J represents the corrected concentration of the corrected exhaust gas, F represents the amount of other exhaust gases other than the corrected exhaust gas, and L f It represents the ratio characteristic value of the corrected exhaust gas to the fth other exhaust gas, Z f Indicates the concentration of the fth other exhaust gas at the current moment, L f *Z f Indicates 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, the embodiment of the present invention provides an exhaust gas monitoring and processing system for the production of anti-clogging honeycomb denitrification catalysts; obtains a suspected abnormality based on the fluctuation characteristics of the concentration time series and the difference characteristics between the concentration and the predicted concentration; obtains the humidity influence degree based on the distribution characteristics of the suspected abnormality corresponding to the humidity; obtains the corrected exhaust gas based on the humidity influence degree, the suspected abnormality and the humidity characteristics; obtains a concentration ratio based on the concentration of the corrected exhaust gas and other exhaust gases; obtains a ratio weight based on the humidity characteristics at a historical moment and the concentration ratios of all types at different historical moments; obtains a proportional characteristic value based on the concentration ratios and ratio weights at all historical moments. The present invention obtains the corrected concentration of the corrected exhaust gas at the current moment based on the proportional characteristic value and the concentration of other exhaust gases, thereby improving the accuracy of exhaust gas concentration monitoring.

[0058] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain 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, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. An exhaust gas monitoring and processing system for the production of anti-clogging honeycomb denitrification catalysts, characterized in that: The system includes the following modules: Data acquisition module, used to obtain the concentration time series of different exhaust gases and the humidity time series of the same period; An anomaly analysis module is used to obtain a suspected anomaly degree based on the fluctuation characteristics of the exhaust gas concentration time series and the difference characteristics between the concentration at the same time and the predicted concentration; obtain a humidity characterization value, an anomaly characterization value, and a discrete characterization value based on the distribution characteristics of the suspected anomaly degrees corresponding to different humidity levels in the humidity time series; and obtain the humidity impact degree of the exhaust gas based on the change correlation characteristics of the anomaly characterization value and the humidity characterization value and the discrete characterization value; a data processing module configured to obtain an anomaly index of the exhaust gas based on the humidity impact degree, the suspected anomaly degree at the current moment, and the humidity characteristics; obtain a corrected exhaust gas based on the anomaly index; obtain a concentration ratio based on the concentration characteristics of the corrected exhaust gas and other exhaust gases at the same moment; obtain a ratio weight at the historical moment based on the humidity characteristics at the historical moment and the difference characteristics of all types of concentration ratios between the historical moment and other historical moments; and obtain a proportional characteristic value based on the concentration ratios and ratio weights at all historical moments; The concentration correction module is used to obtain a corrected concentration of the corrected exhaust gas at a current moment according to a characteristic value of a ratio of the corrected exhaust gas to all other exhaust gases and the concentrations of all other exhaust gases.

2. The exhaust gas monitoring and processing system for the production of anti-ash blocking honeycomb denitrification catalyst according to claim 1 is characterized in that: The step of obtaining the suspected abnormality degree according to the fluctuation characteristics of the exhaust gas concentration time series and the difference characteristics between the concentration at the same time and the predicted concentration includes: Calculate the inverse of the standard deviation of the concentration within a preset time period before any moment in the concentration time series to obtain a stable characteristic value within the preset time period; fit the concentration within the preset time period before any moment by the least squares method to obtain a fitting straight line; use the value of the fitting straight line at any moment as the predicted concentration; calculate the absolute value of the difference between the concentration of the exhaust gas at any moment 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 them to obtain the suspected abnormality of the exhaust gas at any moment.

3. The exhaust gas monitoring and processing system for the production of anti-ash blocking honeycomb denitrification catalyst according to claim 1 is characterized in that: The step of obtaining a humidity characterization value, an abnormality characterization value, and a discrete characterization value according to the distribution characteristics of suspected abnormality degrees corresponding to different humidity levels in the humidity time series includes: Construct a rectangular coordinate system for humidity and the suspected abnormality, with the horizontal axis being humidity and the vertical axis being the suspected abnormality of the exhaust gas at each humidity corresponding moment; divide the humidity into a preset number of humidity ranges on average; calculate the average Euclidean distance between any data point and all other data points in the humidity range in the rectangular coordinate system to obtain the discreteness of the arbitrary data point; take the humidity corresponding to the data point with the smallest discreteness as the humidity characterization value, the corresponding suspected abnormality as the abnormality characterization value, and take the minimum discreteness value as the discrete characterization value.

4. The exhaust gas monitoring and processing system for the production of anti-ash-clogging honeycomb denitrification catalyst according to claim 3 is characterized in that: The step of obtaining the humidity influence degree of the exhaust gas according to the change correlation characteristics of the abnormality characterization value and the humidity characterization value and the discrete characterization value 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 inverse 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; calculate the product of the change correlation and the influence weight to obtain the weighted change correlation; calculate the sum of the weighted change correlations corresponding to all humidity ranges and normalize them to obtain the humidity influence degree of the exhaust gas.

5. The exhaust gas monitoring and processing system for the production of anti-ash-clogging honeycomb denitrification catalyst according to claim 1 is characterized in that: The step of obtaining the abnormality index of the exhaust gas according to the humidity influence degree, the suspected abnormality degree at the current moment, and the humidity characteristics includes: The difference between the humidity at the current moment and the preset standard humidity is calculated to obtain a humidity difference value; the product of the humidity difference value, the humidity influence degree, and the suspected abnormality degree at the current moment is calculated and normalized to obtain an abnormality index of the exhaust gas at the current moment.

6. The exhaust gas monitoring and processing system for the production of anti-ash blocking honeycomb denitrification catalyst according to claim 1 is characterized in that: The step of obtaining the corrected exhaust gas according to the abnormality index comprises: When the abnormality index exceeds a preset abnormality threshold, the exhaust gas is used as the corrected exhaust gas.

7. The exhaust gas monitoring and processing system for the production of anti-clogging honeycomb denitrification catalyst according to claim 1 is characterized in that: The step of obtaining a concentration ratio based on the concentration characteristics of the corrected exhaust gas and other exhaust gases at the same time includes: The concentration ratio of the corrected exhaust gas and other exhaust gases at the same time is calculated to obtain the concentration ratio.

8. The exhaust gas monitoring and processing system for the production of anti-clogging honeycomb denitrification catalyst according to claim 1 is characterized in that: The step of obtaining the ratio weight of the historical moment according to the humidity characteristics of the historical moment and the difference characteristics of the concentration ratios of all types between the historical moment and other historical moments includes: Calculate the inverse 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 inverse of the sum of the ratio differences corresponding to 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 value of the ratio similarities between the historical moment and all other historical moments to obtain the average ratio similarity at the historical moment; calculate the product of the average ratio similarity and the environmental weight to obtain the ratio weight at the historical moment.

9. The exhaust gas monitoring and processing system for producing anti-clogging honeycomb denitrification catalyst according to claim 1 is characterized in that: The step of obtaining a proportional characteristic value according to the concentration ratios and ratio weights at all historical moments comprises: Calculate the product of the concentration ratio at the historical moment and the ratio weight to obtain the weighted concentration ratio of the corrected exhaust gas and other exhaust gases; calculate the average value of the weighted concentration ratios at all historical moments to obtain the proportional characteristic value of the corrected exhaust gas and other exhaust gases.

10. The exhaust gas monitoring and processing system for producing anti-clogging honeycomb denitrification catalyst according to claim 1 is characterized in that: The step of obtaining the corrected concentration of the corrected exhaust gas at the current moment according to the characteristic value of the ratio of the corrected exhaust gas to all other exhaust gases and the concentrations of all other exhaust gases includes: Calculate the product of the proportional characteristic value of the corrected exhaust gas and other exhaust gases and the concentration of the other exhaust gases at the current moment to obtain the initial correction values ​​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 moment.

Images