Automatic regulation and control method and system for waste gas deodorization of sewage treatment plant

Abstract

The invention provides an automatic regulation and control method and system for waste gas deodorization of a sewage treatment plant, and relates to the technical field of waste gas deodorization. Extracting an in-kettle temperature sequence from the preprocessed in-kettle data, determining a deodorization temperature turbulence factor and a deodorization temperature trend consistency degree in the waste gas deodorization process according to the in-kettle temperature sequence, and performing prediction according to the deodorization temperature turbulence factor and the deodorization temperature trend consistency degree to obtain a waste gas deodorization prediction temperature; determining a pressure fluctuation feature vector in the catalytic cracking reaction kettle according to the pressure data in the kettle, and determining a waste gas regulation amount in the catalytic cracking reaction kettle based on the pressure fluctuation feature vector and a preset deodorization pressure interval; the waste gas deodorization process in the catalytic cracking reaction kettle is regulated and controlled according to the waste gas deodorization predicted temperature and the waste gas regulation and control amount, so that it is ensured that the reaction conditions in the reaction kettle are within the ideal range, and therefore the high efficiency and safety of the waste gas treatment process are achieved.

Description

Technical Field

[0001] This application relates to the technical field of waste gas deodorization, and more specifically, to an automatic regulation method and system for waste gas deodorization in a sewage treatment plant. Background Art

[0002] The automatic regulation of waste gas deodorization in a sewage treatment plant is a key link to cope with the emission of harmful gases in the waste gas and achieve efficient purification. The regulation system is based on advanced sensors, control algorithms, and data analysis technologies. By real-time monitoring important parameters such as waste gas composition, temperature, pressure, and flow rate, the deodorization process is dynamically adjusted.

[0003] During the process of waste gas deodorization, temperature and pressure regulation are crucial factors. Temperature is a key variable that directly affects the reaction rate and efficiency in the catalytic reaction and biodegradation processes. Generally speaking, the waste gas treatment process needs to be controlled within a certain temperature range to ensure the catalytic efficiency of the catalyst and the completeness of the reaction. Too high temperature may cause the inactivation of the catalyst, while too low temperature may lead to too slow reaction rate, affecting the waste gas purification effect. In addition, the temperature fluctuation may also affect the viscosity, flow rate of the waste gas, and the operation stability of the equipment. Therefore, it is particularly important to precisely regulate the temperature. During the catalytic cracking, adsorption, or biodegradation process, the pressure change of the waste gas will directly affect the flow velocity of the waste gas and the working efficiency of the reaction equipment. If the waste gas pressure is too high, it may cause the equipment to operate overloaded and even leak, while too low pressure may lead to incomplete reaction and unable to achieve the expected deodorization effect. Therefore, how to accurately regulate the pressure and temperature in real time during the waste gas deodorization process to ensure that the reaction conditions in the reaction kettle are within the ideal range, so as to achieve the high efficiency and safety of the waste gas treatment process is a difficult problem faced by the industry. Summary of the Invention

[0004] This application provides an automatic regulation method and system for waste gas deodorization in a sewage treatment plant, which can accurately regulate the pressure and temperature in real time during the waste gas deodorization process to ensure that the reaction conditions in the reaction kettle are within the ideal range, so as to achieve the high efficiency and safety of the waste gas treatment process.

[0005] In the first aspect, this application provides an automatic regulation method for waste gas deodorization in a sewage treatment plant. The regulation method includes the following steps:

[0006] Real-time monitor and collect the waste gas deodorization process in the catalytic cracking reaction kettle of the sewage treatment plant, and then preprocess the data collected in the kettle through monitoring.

[0007] Extract the in-kettle temperature sequence from the preprocessed in-kettle data, determine the deodorization temperature turbulence factor during the waste gas deodorization process according to the in-kettle temperature sequence, determine the deodorization temperature trend consistency during the waste gas deodorization process according to the in-kettle temperature sequence, and predict the waste gas deodorization temperature in the catalytic cracking reactor based on the deodorization temperature turbulence factor and the deodorization temperature trend consistency to obtain the predicted waste gas deodorization temperature;

[0008] Determine the pressure fluctuation eigenvector in the catalytic cracking reactor through the in-kettle pressure data in the preprocessed in-kettle data, and determine the waste gas regulation amount in the catalytic cracking reactor based on the pressure fluctuation eigenvector and the preset deodorization pressure range;

[0009] Regulate the waste gas deodorization process in the catalytic cracking reactor respectively according to the predicted waste gas deodorization temperature and the waste gas regulation amount.

[0010] In this embodiment, the waste gas deodorization process in the catalytic cracking reactor in the sewage treatment plant is monitored and collected in real time through the intelligent sensor array deployed inside the catalytic cracking reactor.

[0011] In this embodiment, the preprocessing of the in-kettle data collected by monitoring is to filter the noise and process the missing values of the in-kettle data collected by monitoring.

[0012] In this embodiment, determining the deodorization temperature turbulence factor during the waste gas deodorization process according to the in-kettle temperature sequence specifically includes:

[0013] Determine the energy distribution of each in-kettle temperature point in the in-kettle temperature sequence;

[0014] Determine the deodorization temperature turbulence factor during the waste gas deodorization process through the energy distribution of all in-kettle temperature points.

[0015] In this embodiment, determining the deodorization temperature trend consistency during the waste gas deodorization process according to the in-kettle temperature sequence specifically includes:

[0016] Segment the in-kettle temperature sequence to obtain the first in-kettle temperature sequence and the second in-kettle temperature sequence;

[0017] Determine the first in-kettle temperature typical feature of the first in-kettle temperature sequence and the second in-kettle temperature typical feature of the second in-kettle temperature sequence respectively;

[0018] Determine the deodorization temperature trend consistency during the waste gas deodorization process through the first in-kettle temperature typical feature and the second in-kettle temperature typical feature.

[0019] In this embodiment, predicting the waste gas deodorization temperature in the catalytic cracking reactor based on the deodorization temperature turbulence factor and the deodorization temperature trend consistency means inputting the deodorization temperature turbulence factor and the deodorization temperature trend consistency into a temperature prediction model based on deep learning to predict the waste gas deodorization temperature in the catalytic cracking reactor.

[0020] In this embodiment, determining the pressure fluctuation characteristic vector in the catalytic cracking reactor through the in-reactor pressure data in the preprocessed in-reactor data specifically includes:

[0021] Determining the in-reactor pressure dispersion according to the in-reactor pressure data in the preprocessed in-reactor data;

[0022] Performing feature extraction on the in-reactor pressure data to obtain in-reactor pressure features;

[0023] Determining the in-reactor pressure fluctuation characteristics based on the in-reactor pressure dispersion and the in-reactor pressure features;

[0024] Determining the pressure fluctuation characteristic vector in the catalytic cracking reactor based on the in-reactor pressure fluctuation characteristics and the in-reactor pressure features.

[0025] In this embodiment, determining the waste gas regulation amount for the catalytic cracking reactor based on the pressure fluctuation characteristic vector and a preset deodorization pressure range specifically includes:

[0026] Judging whether the in-reactor pressure feature in the pressure fluctuation characteristic vector is within the preset deodorization pressure range;

[0027] When the in-reactor pressure feature is within the deodorization pressure range, setting the waste gas regulation amount for the catalytic cracking reactor to zero;

[0028] When the in-reactor pressure feature is not within the deodorization pressure range, determining the pressure difference amount according to the in-reactor pressure feature and the deodorization pressure range;

[0029] Determining the waste gas regulation amount for the catalytic cracking reactor through the pressure difference amount and the in-reactor pressure fluctuation characteristic in the pressure fluctuation characteristic vector.

[0030] In this embodiment, regulating the waste gas deodorization process in the catalytic cracking reactor respectively based on the predicted waste gas deodorization temperature and the waste gas regulation amount specifically includes:

[0031] Regulating the valve opening of the gas control valve of the catalytic cracking reactor according to the waste gas regulation amount;

[0032] Regulating the waste gas deodorization temperature in the catalytic cracking reactor through the predicted waste gas deodorization temperature and a given reaction temperature range.

[0033] In a second aspect, the present application provides an automatic regulation system for deodorizing exhaust gas in a sewage treatment plant, which is used to execute an automatic regulation method for deodorizing exhaust gas in a sewage treatment plant. The regulation system includes:

[0034] A data monitoring and acquisition module, which is used to monitor and acquire the exhaust gas deodorization process in the catalytic cracking reactor in the sewage treatment plant in real time, and then preprocess the data in the reactor collected by the monitoring.

[0035] A temperature prediction module, which is used to extract the in-reactor temperature sequence from the preprocessed in-reactor data, determine the deodorization temperature turbulence factor in the exhaust gas deodorization process according to the in-reactor temperature sequence, determine the deodorization temperature trend consistency in the exhaust gas deodorization process according to the in-reactor temperature sequence, and predict the exhaust gas deodorization temperature in the catalytic cracking reactor based on the deodorization temperature turbulence factor and the deodorization temperature trend consistency to obtain the predicted exhaust gas deodorization temperature.

[0036] A regulation quantity determination module, which is used to determine the pressure fluctuation characteristic vector in the catalytic cracking reactor through the in-reactor pressure data in the preprocessed in-reactor data, and determine the exhaust gas regulation quantity in the catalytic cracking reactor based on the pressure fluctuation characteristic vector and a preset deodorization pressure range.

[0037] A deodorization regulation module, which is used to regulate the exhaust gas deodorization process in the catalytic cracking reactor respectively according to the predicted exhaust gas deodorization temperature and the exhaust gas regulation quantity.

[0038] The technical solution provided by the embodiments disclosed in the present application has the following beneficial effects:

[0039] By monitoring and acquiring the exhaust gas deodorization process in the catalytic cracking reactor in the sewage treatment plant in real time, and then preprocessing the data in the reactor collected by the monitoring; extracting the in-reactor temperature sequence from the preprocessed in-reactor data, determining the deodorization temperature turbulence factor in the exhaust gas deodorization process according to the in-reactor temperature sequence, determining the deodorization temperature trend consistency in the exhaust gas deodorization process according to the in-reactor temperature sequence, predicting the exhaust gas deodorization temperature in the catalytic cracking reactor based on the deodorization temperature turbulence factor and the deodorization temperature trend consistency to obtain the predicted exhaust gas deodorization temperature; determining the pressure fluctuation characteristic vector in the catalytic cracking reactor through the in-reactor pressure data in the preprocessed in-reactor data, and determining the exhaust gas regulation quantity in the catalytic cracking reactor based on the pressure fluctuation characteristic vector and a preset deodorization pressure range; regulating the exhaust gas deodorization process in the catalytic cracking reactor respectively according to the predicted exhaust gas deodorization temperature and the exhaust gas regulation quantity.

[0040] It can be seen that in this application, firstly, by extracting the temperature sequence in the kettle and calculating the deodorization temperature turbulence factor and the deodorization temperature trend consistency, the dynamic characteristics of temperature can be more comprehensively characterized. Combining the turbulence factor and the trend consistency, the catalytic cracking reaction conditions can be dynamically adjusted. Then, through the real-time monitoring of pressure data and the analysis of fluctuation characteristics, the dynamic changes of the pressure in the reaction kettle can be accurately captured. Based on the pressure fluctuation characteristic vector and the preset pressure range for regulation, the reaction conditions can be adjusted in real time to ensure that the pressure in the reaction kettle is maintained within the ideal range most suitable for waste gas deodorization. Finally, through the comprehensive adjustment of the predicted temperature for waste gas deodorization and the waste gas regulation amount, the temperature and pressure in the catalytic cracking reaction kettle can be precisely controlled to ensure the stability and high efficiency of the waste gas treatment process.

[0041] In summary, the technical solution adopted in this application can perform real-time and precise regulation of pressure and temperature during the waste gas deodorization process to ensure that the reaction conditions in the reaction kettle are within the ideal range, thereby achieving the high efficiency and safety of the waste gas treatment process. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only the embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0043] Figure 1 is a flowchart of an automatic regulation method for waste gas deodorization in a sewage treatment plant provided by the present application;

[0044] Figure 2 is a schematic flowchart for determining the deodorization temperature trend consistency in the waste gas deodorization process provided by the present application;

[0045] Figure 3 is a schematic flowchart for determining the pressure fluctuation characteristic vector in the catalytic cracking reaction kettle provided by the present application;

[0046] Figure 4 is a module structure diagram of an automatic regulation system for waste gas deodorization in a sewage treatment plant provided by the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0047] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0048] The embodiment of the present application provides an automatic regulation method and system for waste gas deodorization in a sewage treatment plant. The core is to monitor and collect the waste gas deodorization process in the catalytic cracking reactor in the sewage treatment plant in real time, and then preprocess the in-reactor data collected by the monitoring. Extract the in-reactor temperature sequence from the preprocessed in-reactor data, determine the deodorization temperature turbulence factor in the waste gas deodorization process according to the in-reactor temperature sequence, determine the deodorization temperature trend consistency in the waste gas deodorization process according to the in-reactor temperature sequence, and predict the waste gas deodorization temperature in the catalytic cracking reactor based on the deodorization temperature turbulence factor and the deodorization temperature trend consistency to obtain the predicted waste gas deodorization temperature; determine the pressure fluctuation eigenvector in the catalytic cracking reactor through the in-reactor pressure data in the preprocessed in-reactor data, and determine the waste gas regulation amount in the catalytic cracking reactor based on the pressure fluctuation eigenvector and the preset deodorization pressure range; regulate the waste gas deodorization process in the catalytic cracking reactor respectively according to the predicted waste gas deodorization temperature and the waste gas regulation amount. Adopting the above scheme can accurately regulate the pressure and temperature in real time during the waste gas deodorization process to ensure that the reaction conditions in the reactor are within the ideal range, thereby realizing the efficiency and safety of the waste gas treatment process.

[0049] Embodiment 1. To better understand the above technical solution, the following will combine the specification drawings and specific implementation manners to explain the above technical solution in detail. Refer to Figure 1 As shown in the figure, which is an exemplary flowchart of an automatic regulation method for waste gas deodorization in a sewage treatment plant according to this embodiment of the present application. The regulation method includes the following steps:

[0050] In step S1, monitor and collect the waste gas deodorization process in the catalytic cracking reactor in the sewage treatment plant in real time, and then preprocess the in-reactor data collected by the monitoring.

[0051] Specifically, the waste gas deodorization process in the catalytic cracking reactor in the sewage treatment plant is monitored and collected in real time through the intelligent sensor array deployed inside the catalytic cracking reactor; it should be noted that in this application, the temperature and pressure in the waste gas deodorization process in the catalytic cracking reactor are mainly monitored and collected in real time, that is, the in-reactor data in this application mainly includes the in-reactor temperature and the in-reactor pressure. In actual implementation, an intelligent sensor array, that is, a temperature sensor and a pressure sensor, can be deployed inside the catalytic cracking reactor.

[0052] In this embodiment, preprocessing the in-kettle data collected by monitoring means performing noise filtering and missing value processing on the in-kettle data collected by monitoring; it should be noted that since the data collected by the sensor may be affected by environmental interference, equipment errors or signal fluctuations, data preprocessing is required; specifically, first, noise filtering can be performed on the in-kettle data collected by monitoring, that is, the Kalman filter is used to optimize and estimate the current data in combination with historical data to improve the accuracy of the real-time in-kettle data; then, the missing value processing of the in-kettle data collected by monitoring can be performed by using linear interpolation. For the data missing for a short time, it is estimated by linear interpolation to maintain data continuity.

[0053] In step S2, an in-kettle temperature sequence is extracted from the preprocessed in-kettle data. The deodorization temperature turbulence factor during the waste gas deodorization process is determined according to the in-kettle temperature sequence, and the deodorization temperature trend consistency during the waste gas deodorization process is determined according to the in-kettle temperature sequence. Based on the deodorization temperature turbulence factor and the deodorization temperature trend consistency, the waste gas deodorization temperature in the catalytic cracking reactor is predicted to obtain the waste gas deodorization predicted temperature.

[0054] Specifically, an in-kettle temperature sequence can be extracted from the preprocessed in-kettle data by traversing, where the in-kettle temperature sequence is a time sequence containing multiple in-kettle temperature points.

[0055] In this embodiment, the following method can be specifically adopted to determine the deodorization temperature turbulence factor during the waste gas deodorization process according to the in-kettle temperature sequence, that is:

[0056] Determine the energy distribution of each in-kettle temperature point in the in-kettle temperature sequence;

[0057] Determine the deodorization temperature turbulence factor during the waste gas deodorization process through the energy distribution of all in-kettle temperature points.

[0058] Specifically, first, the energy distribution of each in-kettle temperature point in the in-kettle temperature sequence can be determined. Among them, the energy distribution represents the proportion of the energy of the in-kettle temperature point in the overall energy. The ratio of the value of the in-kettle temperature point to the sum of the values of all in-kettle temperature points can be used as the energy distribution of the in-kettle temperature point. Through the above method, the energy distribution of each in-kettle temperature point in the in-kettle temperature sequence can be obtained; then, the deodorization temperature turbulence factor during the waste gas deodorization process can be determined through the energy distribution of all in-kettle temperature points. Among them, the deodorization temperature turbulence factor is an index representing the intensity of the in-kettle temperature turbulence fluctuation during the waste gas deodorization process. In actual implementation, the deodorization temperature turbulence factor can be determined according to the following formula:

[0059]

[0060] Among them, η represents the deodorization temperature turbulence factor, N represents the total number of in-kettle temperature points in the in-kettle temperature sequence, and p i represents the energy distribution of the i-th in-kettle temperature point in the in-kettle temperature sequence.

[0061] Preferably, in this embodiment, the deodorization temperature trend consistency during the waste gas deodorization process is determined according to the in-kettle temperature sequence. Refer to Figure 2 As shown, this figure is a schematic flowchart of determining the deodorization temperature trend consistency during the waste gas deodorization process in some embodiments of the present application. The deodorization temperature trend consistency during the waste gas deodorization process in this embodiment can be achieved by the following steps:

[0062] First, in step S21, the in-kettle temperature sequence is segmented to obtain a first in-kettle temperature sequence and a second in-kettle temperature sequence;

[0063] Then, in step S22, the first in-kettle temperature typical feature of the first in-kettle temperature sequence and the second in-kettle temperature typical feature of the second in-kettle temperature sequence are respectively determined;

[0064] Finally, in step S23, the deodorization temperature trend consistency during the waste gas deodorization process is determined through the first in-kettle temperature typical feature and the second in-kettle temperature typical feature.

[0065] Specifically, when implemented, first, the in-kettle temperature sequence can be segmented, that is, the in-kettle temperature sequence is segmented from the time midpoint, so that two time sequences with the same length can be obtained. The time sequence before the time midpoint is used as the first in-kettle temperature sequence, and the time sequence after the time midpoint is used as the second in-kettle temperature sequence; then, the first in-kettle temperature typical feature of the first in-kettle temperature sequence and the second in-kettle temperature typical feature of the second in-kettle temperature sequence are respectively determined. Among them, the first in-kettle temperature typical feature represents the representative in-kettle temperature feature in the first in-kettle temperature sequence, and the second in-kettle temperature typical feature represents the representative in-kettle temperature feature in the second in-kettle temperature sequence. The mean value of all in-kettle temperature points in the first in-kettle temperature sequence can be used as the first in-kettle temperature typical feature, and the mean value of all in-kettle temperature points in the second in-kettle temperature sequence can be used as the second in-kettle temperature typical feature; finally, the deodorization temperature trend consistency during the waste gas deodorization process can be determined through the first in-kettle temperature typical feature and the second in-kettle temperature typical feature. Among them, this deodorization temperature trend consistency is an index to measure the stability of the change trend of the in-kettle temperature of the catalytic cracking reactor over time. A high trend consistency means that the temperature control is relatively stable, while a low trend consistency may indicate large temperature fluctuations or interference from external factors. When actually implemented, this deodorization temperature trend consistency can be determined according to the following formula:

[0066]

[0067] Among them, χ represents the consistency degree of the deodorization temperature trend, n and m respectively represent the total number of in-kettle temperature points in the temperature sequence in the first kettle and the temperature sequence in the second kettle, x i represents the i-th in-kettle temperature point in the temperature sequence in the first kettle, and y j represents the j-th in-kettle temperature point in the temperature sequence in the second kettle, λ(x) represents the typical temperature feature in the first kettle, and λ(y) represents the typical temperature feature in the second kettle.

[0068] In this embodiment, predicting the waste gas deodorization temperature in the catalytic cracking reaction kettle based on the deodorization temperature turbulence factor and the deodorization temperature trend consistency is to input the deodorization temperature turbulence factor and the deodorization temperature trend consistency into a temperature prediction model based on deep learning to predict the waste gas deodorization temperature in the catalytic cracking reaction kettle, and then obtain the predicted waste gas deodorization temperature.

[0069] It should be noted that, in order to accurately predict the waste gas deodorization temperature in the catalytic cracking reaction kettle, a temperature prediction model based on deep learning can be constructed. The temperature prediction model based on deep learning used in this application is a long short-term memory network (LSTM) model. This model is suitable for time series data, can capture long-term temperature change patterns, and uses the deodorization temperature turbulence factor and the deodorization temperature trend consistency as key input features to improve the accuracy and robustness of the prediction.

[0070] In addition, it should be noted that during the waste gas deodorization process, it is difficult to comprehensively grasp the dynamic temperature changes in the reaction kettle only relying on single-point temperature measurement. By extracting the in-kettle temperature sequence and calculating the deodorization temperature turbulence factor and the deodorization temperature trend consistency, the dynamic characteristics of the temperature can be more comprehensively characterized. Combining the turbulence factor and the trend consistency, the catalytic cracking reaction conditions can be dynamically adjusted, enabling the system to adapt to waste gases with different compositions and flow rates, and improving the adaptability and efficiency.

[0071] In step S3, the pressure fluctuation feature vector in the catalytic cracking reaction kettle is determined through the in-kettle pressure data in the preprocessed in-kettle data, and the regulation amount of the waste gas in the catalytic cracking reaction kettle is determined based on the pressure fluctuation feature vector and a preset deodorization pressure range.

[0072] Preferably, in this embodiment, the pressure fluctuation feature vector in the catalytic cracking reaction kettle is determined through the in-kettle pressure data in the preprocessed in-kettle data, with reference to Figure 3 As shown, this figure is a schematic flow chart for determining the pressure fluctuation feature vector in the catalytic cracking reaction kettle in some embodiments of this application. The steps for determining the pressure fluctuation feature vector in the catalytic cracking reaction kettle in this embodiment can be implemented as follows:

[0073] First, in step S31, determine the in-reactor pressure dispersion based on the in-reactor pressure data in the preprocessed in-reactor data;

[0074] Then, in step S32, extract features from the in-reactor pressure data, and then obtain the in-reactor pressure features;

[0075] Secondly, in step S33, determine the in-reactor pressure fluctuation features based on the in-reactor pressure dispersion and the in-reactor pressure features;

[0076] Finally, in step S34, determine the pressure fluctuation feature vector in the catalytic cracking reactor based on the in-reactor pressure fluctuation features and the in-reactor pressure features.

[0077] When specifically implemented, first, the in-reactor pressure dispersion can be determined according to the in-reactor pressure data in the preprocessed in-reactor data. Among them, the in-reactor pressure dispersion represents the dispersion degree of the in-reactor pressure data in the catalytic cracking reactor. For the in-reactor pressure data in the preprocessed in-reactor data, the standard deviation of all in-reactor pressure points in the in-reactor pressure data can be used as the in-reactor pressure dispersion; then, features can be extracted from the in-reactor pressure data, that is, calculate the mean value of all in-reactor pressure points in the in-reactor pressure data by statistical means, so that the calculation result can be used as the in-reactor pressure feature; furthermore, the in-reactor pressure fluctuation features can be determined based on the in-reactor pressure dispersion and the in-reactor pressure features. Among them, the in-reactor pressure fluctuation feature is a feature representing the fluctuation degree of the in-reactor pressure data in the catalytic cracking reactor, and the ratio of the in-reactor pressure dispersion to the in-reactor pressure feature can be used as the in-reactor pressure fluctuation feature; finally, the feature vector composed of the in-reactor pressure fluctuation feature and the in-reactor pressure feature can be used as the pressure fluctuation feature vector in the catalytic cracking reactor.

[0078] In this embodiment, to determine the waste gas regulation amount in the catalytic cracking reactor based on the pressure fluctuation feature vector and the preset deodorization pressure range, the following method can be specifically adopted, that is:

[0079] Judge whether the in-reactor pressure feature in the pressure fluctuation feature vector is within the preset deodorization pressure range;

[0080] When the in-reactor pressure feature is within the deodorization pressure range, set the waste gas regulation amount in the catalytic cracking reactor to zero;

[0081] When the in-reactor pressure feature is not within the deodorization pressure range, determine the pressure difference amount according to the in-reactor pressure feature and the deodorization pressure range;

[0082] Determine the waste gas regulation amount in the catalytic cracking reactor through the pressure difference amount and the in-reactor pressure fluctuation feature in the pressure fluctuation feature vector.

[0083] In specific implementation, firstly, a deodorization pressure range can be set according to historical experience and data analysis, and this deodorization pressure range is the optimal working range for the catalytic cracking of waste gas; then, it can be determined whether the in-kettle pressure feature in the pressure fluctuation feature vector is within the preset deodorization pressure range, and regulation is carried out according to the judgment result.

[0084] In addition, in specific implementation, when the in-kettle pressure feature is within the deodorization pressure range, it indicates that the system pressure is stable and no regulation is required. The regulation amount of the waste gas in the catalytic cracking reactor is set to zero, and the current operation state is maintained to avoid energy consumption waste caused by unnecessary regulation; when the in-kettle pressure feature is not within the deodorization pressure range, regulation is required. The difference between the in-kettle pressure feature and the deodorization pressure range can be calculated, and this difference is used as the pressure difference amount, which represents the deviation degree of the current pressure from the ideal working range. Thus, the regulation amount of the waste gas in the catalytic cracking reactor can be determined through the pressure difference amount and the in-kettle pressure fluctuation feature in the pressure fluctuation feature vector. Among them, this waste gas regulation amount represents the amount of waste gas that needs to be regulated, and the product of the pressure difference amount and the in-kettle pressure fluctuation feature in the pressure fluctuation feature vector can be used as the regulation amount of the waste gas in the catalytic cracking reactor.

[0085] It should be noted that through the real-time monitoring of pressure data and the analysis of fluctuation features, the dynamic changes of the pressure in the reactor can be accurately captured. Based on the pressure fluctuation feature vector and the preset pressure range for regulation, the reaction conditions can be adjusted in real time to ensure that the pressure in the reactor is maintained within the ideal range most suitable for waste gas deodorization.

[0086] In step S4, the waste gas deodorization process in the catalytic cracking reactor is regulated respectively according to the predicted waste gas deodorization temperature and the waste gas regulation amount.

[0087] In this embodiment, regulating the waste gas deodorization process in the catalytic cracking reactor respectively according to the predicted waste gas deodorization temperature and the waste gas regulation amount can be specifically implemented in the following way, that is:

[0088] Regulate the valve opening of the gas control valve of the catalytic cracking reactor according to the waste gas regulation amount;

[0089] Regulate the waste gas deodorization temperature in the catalytic cracking reactor through the predicted waste gas deodorization temperature and the given reaction temperature range.

[0090] In specific implementation, the valve opening of the gas control valve of the catalytic cracking reactor can be adjusted according to the waste gas regulation amount, that is, the gas control valve will adjust its opening according to the calculated waste gas regulation amount to reduce or increase the waste gas flow. For example, if the waste gas regulation amount is negative, the opening of the gas control valve will increase to release the excess gas; on the contrary, if the waste gas regulation amount is positive, the gas control valve will close some to increase the gas inflow and help restore the ideal pressure level. This adjustment process is real-time and dynamically adjusted according to different stages of waste gas treatment and the current reaction state to ensure that the waste gas emission and reaction conditions are always at the best balance point.

[0091] In addition, in specific implementation, the deodorization temperature of the waste gas in the catalytic cracking reactor can be adjusted by the predicted deodorization temperature of the waste gas and the given reaction temperature range. During the waste gas deodorization process, it is necessary to ensure that the temperature in the reactor remains within a specific reaction temperature range, which is usually set according to the characteristics of the catalyst and the required reaction rate to ensure the effective removal of harmful substances in the waste gas and avoid catalyst failure caused by too high temperature or incomplete reaction caused by too low temperature. According to the predicted deodorization temperature of the waste gas, the temperature in the reactor is monitored and adjusted in real time. For example, if the predicted deodorization temperature of the waste gas exceeds the reaction temperature range, measures may need to be taken to lower the temperature, such as increasing the workload of the cooling system or adjusting the gas flow in the reactor; if the predicted deodorization temperature of the waste gas is lower than the reaction temperature range, the heating equipment may need to intervene to raise the reaction temperature to maintain the effectiveness of the reaction; if the predicted deodorization temperature of the waste gas is within the reaction temperature range, no operation is performed. According to the changes in the predicted temperature and the characteristic quantity of pressure fluctuation, the system can adjust the temperature and pressure simultaneously to ensure that the waste gas deodorization process in the reactor is always carried out under ideal conditions. Through such coordinated control, both the catalyst damage caused by too high temperature and the low reaction efficiency caused by too low temperature can be avoided, and finally high-efficiency and stable waste gas deodorization can be achieved.

[0092] It should be noted that temperature and pressure are interrelated, and both jointly affect the reaction efficiency. Through the comprehensive adjustment of the predicted deodorization temperature of the waste gas and the waste gas regulation amount, the temperature and pressure in the catalytic cracking reactor can be accurately controlled to ensure the stability and high efficiency of the waste gas treatment process.

[0093] It can be seen that in this application, first, by extracting the temperature sequence in the kettle and calculating the deodorization temperature turbulence factor and the deodorization temperature trend consistency, the dynamic characteristics of the temperature can be more comprehensively characterized. Combining the turbulence factor and the trend consistency, the catalytic cracking reaction conditions can be dynamically adjusted. Then, through the real-time monitoring and fluctuation characteristic analysis of the pressure data, the dynamic changes of the pressure in the reaction kettle can be accurately captured. Based on the pressure fluctuation characteristic vector and the preset pressure interval for regulation, the reaction conditions can be adjusted in real time to ensure that the pressure in the reaction kettle is maintained within the ideal range most suitable for waste gas deodorization. Finally, through the comprehensive regulation of the predicted temperature of waste gas deodorization and the regulation amount of waste gas, the temperature and pressure in the catalytic cracking reaction kettle can be accurately controlled to ensure the stability and high efficiency of the waste gas treatment process.

[0094] In summary, the technical solution adopted in this application can perform real-time and accurate regulation of pressure and temperature during the waste gas deodorization process to ensure that the reaction conditions in the reaction kettle are within the ideal range, thereby realizing the high efficiency and safety of the waste gas treatment process.

[0095] Embodiment 2. This application provides an automatic regulation system for waste gas deodorization in a sewage treatment plant, referring to Figure 4 As shown, this figure is a schematic diagram of the automatic regulation system for waste gas deodorization in a sewage treatment plant according to this embodiment of this application. The regulation system includes:

[0096] A data monitoring and acquisition module 100, which is used to perform real-time monitoring and acquisition on the waste gas deodorization process in the catalytic cracking reaction kettle in the sewage treatment plant, and then preprocess the data in the kettle collected by the monitoring.

[0097] A temperature prediction module 200, which is used to extract the temperature sequence in the kettle from the preprocessed data in the kettle, determine the deodorization temperature turbulence factor during the waste gas deodorization process according to the temperature sequence in the kettle, determine the deodorization temperature trend consistency during the waste gas deodorization process according to the temperature sequence in the kettle, and predict the deodorization temperature of the waste gas in the catalytic cracking reaction kettle based on the deodorization temperature turbulence factor and the deodorization temperature trend consistency to obtain the predicted temperature of waste gas deodorization.

[0098] A regulation amount determination module 300, which is used to determine the pressure fluctuation characteristic vector in the catalytic cracking reaction kettle through the pressure data in the preprocessed data in the kettle, and determine the regulation amount of the waste gas in the catalytic cracking reaction kettle based on the pressure fluctuation characteristic vector and the preset deodorization pressure interval.

[0099] A deodorization regulation module 400, which is used to regulate the waste gas deodorization process in the catalytic cracking reaction kettle respectively according to the predicted temperature of waste gas deodorization and the regulation amount of waste gas.

[0100] This application is described with reference to the flowcharts and / or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram can be implemented by computer program instructions, and the combination of flows and / or blocks in the flowchart and / or block diagram can also be implemented. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate means for implementing the functions specified in one flow Figure 1 one flow or multiple flows and / or blocks Figure 1 or means for implementing the functions specified in multiple blocks.

[0101] Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing relevant hardware through a program, and this program can be stored in a computer-readable storage medium. The storage medium includes read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc memories, magnetic disc memories, tape memories, or any other medium that can be used to carry or store data and is computer-readable.

[0102] It should also be noted that the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, commodity or device comprising a series of elements not only includes those elements, but also includes other elements not explicitly listed, or further includes elements inherent in such process, method, commodity or device. Without further limitations, an element defined by the statement "comprising one..." does not exclude the existence of another identical element in the process, method, commodity or device comprising the element.

Claims

1. An automatic regulation method for deodorizing the exhaust gas of a sewage treatment plant, characterized in that The regulation method includes the following steps: Real-time monitoring and acquisition of the waste gas deodorization process in the catalytic cracking reactor of the sewage treatment plant, and then preprocessing the data collected from the reactor; Extract the temperature sequence in the reactor from the preprocessed data in the reactor. Determine the deodorization temperature turbulence factor during the waste gas deodorization process according to the temperature sequence in the reactor, determine the consistency of the deodorization temperature trend during the waste gas deodorization process according to the temperature sequence in the reactor, and predict the waste gas deodorization temperature in the catalytic cracking reactor based on the deodorization temperature turbulence factor and the consistency of the deodorization temperature trend to obtain the predicted waste gas deodorization temperature; Determine the pressure fluctuation characteristic vector in the catalytic cracking reactor through the pressure data in the reactor in the preprocessed data, and determine the waste gas regulation amount in the catalytic cracking reactor based on the pressure fluctuation characteristic vector and the preset deodorization pressure range; Regulate the waste gas deodorization process in the catalytic cracking reactor respectively according to the predicted waste gas deodorization temperature and the waste gas regulation amount.

2. The automatic regulation method for waste gas deodorization in a sewage treatment plant according to claim 1, wherein Real-time monitoring and acquisition of the waste gas deodorization process in the catalytic cracking reactor of the sewage treatment plant through the intelligent sensor array deployed inside the catalytic cracking reactor.

3. The automatic regulation method for deodorizing the waste gas of a sewage treatment plant according to claim 1, wherein, Preprocessing the data collected from the reactor is to filter the noise and process the missing values of the data collected from the reactor.

4. The automatic regulation method for waste gas deodorization in a sewage treatment plant according to claim 1, characterized in that, Determining the deodorization temperature turbulence factor during the waste gas deodorization process according to the temperature sequence in the reactor specifically includes: Determine the energy distribution of each temperature point in the reactor in the temperature sequence in the reactor; Determine the deodorization temperature turbulence factor during the waste gas deodorization process through the energy distribution of all temperature points in the reactor.

5. The automatic regulation method for deodorizing the waste gas of a sewage treatment plant according to claim 1, characterized in that, Determining the consistency of the deodorization temperature trend during the waste gas deodorization process according to the temperature sequence in the reactor specifically includes: Segment the temperature sequence in the reactor to obtain the first temperature sequence in the reactor and the second temperature sequence in the reactor; Determine the first typical temperature characteristic of the first temperature sequence in the reactor and the second typical temperature characteristic of the second temperature sequence in the reactor respectively; Determine the consistency of the deodorization temperature trend during the waste gas deodorization process through the first typical temperature characteristic of the first temperature sequence in the reactor and the second typical temperature characteristic of the second temperature sequence in the reactor.

6. The automatic regulation method for waste gas deodorization in a sewage treatment plant according to claim 1, characterized in that, Predicting the waste gas deodorization temperature in the catalytic cracking reactor based on the deodorization temperature turbulence factor and the consistency of the deodorization temperature trend is to input the deodorization temperature turbulence factor and the consistency of the deodorization temperature trend into the temperature prediction model based on deep learning to predict the waste gas deodorization temperature in the catalytic cracking reactor.

7. The automatic regulation method for odor removal of waste gas in a sewage treatment plant according to claim 1, characterized in that, Determining the pressure fluctuation characteristic vector in the catalytic cracking reactor through the pressure data in the reactor in the preprocessed data specifically includes: Determine the pressure dispersion in the reactor according to the pressure data in the reactor in the preprocessed data; Extract the characteristics of the pressure data in the reactor to obtain the pressure characteristics in the reactor; Determine the pressure fluctuation characteristics in the reactor based on the pressure dispersion in the reactor and the pressure characteristics in the reactor; Determine the pressure fluctuation characteristic vector in the catalytic cracking reactor based on the pressure fluctuation characteristics in the reactor and the pressure characteristics in the reactor.

8. An automatic regulation method for odor removal of waste gas in a sewage treatment plant according to claim 1, characterized in that, Determining the waste gas regulation amount in the catalytic cracking reactor based on the pressure fluctuation characteristic vector and the preset deodorization pressure range specifically includes: Determine whether the in-kettle pressure feature in the pressure fluctuation eigenvector is within a preset deodorization pressure range; When the in-kettle pressure feature is within the deodorization pressure range, set the waste gas regulation amount in the catalytic cracking reactor to zero; When the in-kettle pressure feature is not within the deodorization pressure range, determine the pressure difference amount according to the in-kettle pressure feature and the deodorization pressure range; Determine the waste gas regulation amount in the catalytic cracking reactor through the pressure difference amount and the in-kettle pressure fluctuation feature in the pressure fluctuation eigenvector.

9. The automatic regulation method for deodorizing waste gas in a sewage treatment plant according to claim 1, characterized in that, Respectively regulating the waste gas deodorization process in the catalytic cracking reactor according to the waste gas deodorization predicted temperature and the waste gas regulation amount specifically includes: Regulate the valve opening of the gas control valve of the catalytic cracking reactor according to the waste gas regulation amount; Regulate the waste gas deodorization temperature in the catalytic cracking reactor through the waste gas deodorization predicted temperature and a given reaction temperature range.

10. An automatic regulation system for deodorizing the waste gas of a sewage treatment plant, which is used to execute an automatic regulation method for deodorizing the waste gas of a sewage treatment plant according to any one of claims 1 to 9, characterized in that, The regulation system includes: A data monitoring and acquisition module, which is used to monitor and acquire the waste gas deodorization process in the catalytic cracking reactor in the sewage treatment plant in real time, and then preprocess the in-kettle data collected by the monitoring; A temperature prediction module, which is used to extract the in-kettle temperature sequence from the preprocessed in-kettle data, determine the deodorization temperature turbulence factor in the waste gas deodorization process according to the in-kettle temperature sequence, determine the deodorization temperature trend consistency in the waste gas deodorization process according to the in-kettle temperature sequence, and predict the waste gas deodorization temperature in the catalytic cracking reactor based on the deodorization temperature turbulence factor and the deodorization temperature trend consistency to obtain the waste gas deodorization predicted temperature; A regulation amount determination module, which is used to determine the pressure fluctuation eigenvector in the catalytic cracking reactor through the in-kettle pressure data in the preprocessed in-kettle data, and determine the waste gas regulation amount in the catalytic cracking reactor based on the pressure fluctuation eigenvector and a preset deodorization pressure range; A deodorization regulation module, which is used to regulate the waste gas deodorization process in the catalytic cracking reactor respectively according to the waste gas deodorization predicted temperature and the waste gas regulation amount.

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