A control system for treating tar-containing tail gas

Abstract

The present invention discloses a control system for the treatment of tar-containing tail gas, which relates to the technical field of tail gas treatment. It comprises: a data acquisition module, which is used to collect tail gas data, equipment operation data and raw material data in real time and store them in a database, and timestamp the collected tail gas data and equipment operation data to obtain tail gas time series set and equipment time series set; a tail gas prediction module, which is used to call the tail gas time series set and equipment time series set in the database, and analyze the tail gas time series set, equipment time series set and raw material data, and obtain pollution prediction results in combination with the current production stage. By obtaining the concentration prediction value, the present invention can comprehensively analyze the superposition characteristics of pollution production, ventilation, and temperature fluctuations, thereby realizing the full-factor correction of concentration warning. The size of the concentration prediction value represents the pollution risk level after the superposition of multiple factors, which helps to distinguish between false high risks and real super-concentrated crises, and can output differentiated warning decisions in real time.

Description

Technical Field

[0001] The present invention relates to the technical field of tail gas treatment, in particular to a control system for treating tar-containing tail gas. Background Art

[0002] During the production of rubber additives, the granulation stage generates a large amount of complex exhaust gas, including product dust, organic pollutants such as hydrogen sulfide, carbon disulfide, benzene series, phenols, aldehydes, and amines. Some processes also produce foul odors. Discharging these exhaust gases directly or after simple treatment not only seriously pollutes the atmosphere and harms human health, but also wastes resources. With rising environmental awareness and increasingly stringent laws and regulations, such as the "Emission Standard for Pollutants from the Rubber Products Industry" (GB 27632-2011), which clearly limits the concentration and amount of pollutants in rubber industry waste gas, companies face stringent environmental pressures and must implement effective control measures to ensure compliance with emission standards.

[0003] With the continuous development of the rubber industry, the output and variety of rubber additives are increasing, and the emission and complexity of granulation tail gas are also increasing. In order to achieve the sustainable development of rubber additive production, a control system and method for treating tar-containing tail gas are proposed to solve such problems. Summary of the Invention

[0004] Technical problems solved

[0005] In view of the deficiencies of the prior art, the present invention provides a control system and method for treating tar-containing tail gas, which solves the problems raised in the above-mentioned background technology.

[0006] Technical Solution

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: A control system for treating tar-containing tail gas, comprising:

[0008] The data acquisition module is used to collect exhaust gas data, equipment operation data, and raw material data in real time and store them in the database. The collected exhaust gas data and equipment operation data are time-stamped to obtain exhaust gas time series sets and equipment time series sets;

[0009] The exhaust gas prediction module is used to call the exhaust gas time series set and equipment time series set in the database, analyze the exhaust gas time series set, equipment time series set and raw material data, and obtain pollution prediction results based on the current production stage. The linkage control strategy is generated based on the pollution prediction results;

[0010] The safety warning module is used to compare the pollution prediction results with the safety threshold in real time, obtain the safety status based on the comparison results, and generate a warning signal based on the safety status;

[0011] The linkage execution module is used to receive the linkage control strategy, drive the actuator to work according to the linkage control strategy, and dynamically adjust the operating parameters of the processing unit.

[0012] Preferably, the exhaust gas data includes: exhaust gas concentration value, exhaust gas temperature, exhaust gas pressure and exhaust gas flow rate;

[0013] Equipment operating data includes: raw material input, reaction temperature, fan frequency, adsorbent saturation and catalytic oxidation temperature;

[0014] Raw material data includes: raw material coefficient.

[0015] Preferably, the specific steps of obtaining the pollution prediction result are as follows:

[0016] Extract the raw material input amount and reaction temperature from the database, call the raw material coefficient, obtain the current production stage, and obtain the production coefficient based on the current production stage;

[0017] Comprehensively analyze the reaction temperature to obtain the temperature fluctuation value;

[0018] Conduct a comprehensive analysis of raw material input, reaction temperature, raw material coefficient, and production coefficient to obtain a risk assessment value;

[0019] The fan frequency is extracted and the fan frequency, raw material input and reaction temperature are comprehensively analyzed to obtain the ventilation evaluation value;

[0020] The risk assessment value, temperature fluctuation value and ventilation assessment value are comprehensively analyzed to obtain the concentration prediction value.

[0021] Preferably, the specific steps of obtaining the production coefficient according to the current production stage are as follows:

[0022] Identify the opening status of the feed valve and the discharge valve, determine the production stage based on the opening status of the feed valve and the discharge valve, and obtain the production coefficient based on the production stage.

[0023] Preferably, the specific steps of obtaining the temperature fluctuation value are as follows:

[0024] The current reaction temperature and the historical reaction temperature are extracted from the database, and the interval duration is obtained according to the timestamp. The current reaction temperature, the historical reaction temperature and the interval duration are comprehensively calculated to obtain the temperature fluctuation value.

[0025] Preferably, the specific steps of comparing the pollution prediction results with the safety threshold in real time are as follows:

[0026] Set a temperature fluctuation threshold and compare the temperature fluctuation value with the temperature fluctuation threshold in real time. If the temperature fluctuation value is greater than or equal to the temperature fluctuation threshold, it is determined that the temperature fluctuation is abnormal and a temperature adjustment strategy is generated;

[0027] Set a ventilation threshold and compare the ventilation assessment value with the ventilation threshold in real time. If the ventilation assessment value is greater than or equal to the ventilation threshold, the ventilation is determined to be abnormal and a ventilation adjustment strategy is generated;

[0028] Set a concentration threshold and compare the predicted concentration value with the concentration threshold in real time. If the predicted concentration value is greater than or equal to the concentration threshold, the concentration is judged to be abnormal and an early warning is issued.

[0029] Preferably, the specific steps of generating the temperature adjustment strategy are as follows:

[0030] A comprehensive analysis is performed on the concentration prediction value to confirm the target catalytic temperature, and the target catalytic temperature and the current catalytic temperature are comprehensively calculated to obtain a temperature adjustment value, and the temperature is adjusted according to the temperature adjustment value.

[0031] Preferably, when storing the database, the data acquisition module classifies and archives the exhaust gas time series set, the equipment time series set and the raw material data according to the raw material batch and the production stage to form a traceable working condition data set.

[0032] Beneficial effects

[0033] The present invention has the following beneficial effects:

[0034] (1) This control system for the treatment of tar-containing tail gas can comprehensively analyze the superimposed characteristics of pollution production, ventilation, and temperature fluctuations by obtaining concentration prediction values, thereby realizing full-factor correction of concentration warnings. The size of the concentration prediction value represents the pollution risk level after the superposition of multiple factors, which helps to distinguish between false high risks and real ultra-concentrated crises, and can output differentiated warning decisions in real time.

[0035] (2) This control system for the treatment of tar-containing tail gas makes risk assessment more accurate by distinguishing the pollution potential of different stages, avoiding the lag of early warning in the feeding stage due to averaging calculation, reflecting the stage differences, and avoiding the fluctuation of the control strategy due to excessive coefficient jumps.

[0036] (3) This control system for the treatment of tar-containing exhaust gas can quantify the temperature change rate and give early warning of the risk of sudden emission of VOCs, thereby providing a time-series warning basis for the risk of sudden emission of VOCs, effectively improving the response accuracy of temperature anomalies, and helping the system to avoid the hidden risk of sudden temperature rise leading to a sudden increase in exhaust gas concentration in advance.

[0037] (4) This control system for the treatment of tar-containing exhaust gas can adapt to the volatilization characteristics of VOCs with temperature changes through risk assessment values, thereby providing a thermodynamic correction basis for risk assessment. When the reaction temperature is close to 25°C, it means that the temperature has a weak promoting effect on volatilization, the correction term approaches 1, and the risk assessment focuses more on the raw materials themselves; when the reaction temperature is much higher than 25°C, it means that the temperature significantly accelerates the volatilization of VOCs, forcing the risk assessment value to be amplified, driving the upgrade of the control strategy, effectively balancing the temperature sensitivity of risk assessment and the rationality of calculation, and helping the system to operate stably within a wide temperature range.

[0038] (5) This control system for the treatment of tar-containing tail gas can comprehensively analyze the degree characteristics of ventilation gaps by setting a three-level ventilation adjustment strategy, thereby achieving a step-by-step response of fan control. The size of the ventilation adjustment amount indicates the strength of the ventilation gap compensation, reflecting the balance between emergency needs and equipment life, helping to reduce the loss of fans caused by frequent full-load operation, and can adapt to the ventilation enhancement needs of different gaps in real time.

[0039] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is a structural diagram of a control system for treating tar-containing tail gas according to the present invention;

[0041] Figure 2 Schematic diagram of the broken line showing the temperature fluctuation values ​​of different groups in an embodiment of the present invention. DETAILED DESCRIPTION

[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0043] The embodiment of the present invention provides a technical solution: a control system for treating tar-containing tail gas, comprising:

[0044] The data acquisition module is used to collect exhaust gas data, equipment operation data, and raw material data in real time and store them in the database. The collected exhaust gas data and equipment operation data are time-stamped to obtain exhaust gas time series sets and equipment time series sets. When storing the data in the database, the data acquisition module classifies and archives the exhaust gas time series sets, equipment time series sets, and raw material data by raw material batch and production stage to form a traceable working condition data set;

[0045] The data acquisition module can be linked to the condensation recovery unit. When the proportion of high-boiling-point organic matter in the predicted concentration value exceeds 40%, the linkage execution module starts multi-stage condensation to recover the solvent and reuse it in production. The wastewater from the water scrubber is recycled after reverse osmosis treatment, reducing fresh water consumption and lowering production and processing costs.

[0046] The exhaust gas prediction module is used to call the exhaust gas time series set and equipment time series set in the database, analyze the exhaust gas time series set, equipment time series set and raw material data, and obtain pollution prediction results based on the current production stage. The linkage control strategy is generated based on the pollution prediction results;

[0047] The safety warning module is used to compare the pollution prediction results with the safety threshold in real time, obtain the safety status based on the comparison results, and generate a warning signal based on the safety status;

[0048] The linkage execution module is used to receive the linkage control strategy, drive the actuator to work according to the linkage control strategy, and dynamically adjust the operating parameters of the processing unit;

[0049] Specifically, the exhaust gas data includes: exhaust gas concentration value, exhaust gas temperature, exhaust gas pressure and exhaust gas flow;

[0050] Exhaust gas data also includes exhaust gas humidity. When the data acquisition module detects that the exhaust gas temperature is greater than 100°C or the humidity is greater than 80%, the linkage execution module starts the spray cooling and freeze drying unit to reduce the temperature to below 40°C and the humidity to below 40% to avoid equipment corrosion and ice blockage.

[0051] Equipment operating data includes: raw material input, reaction temperature, fan frequency, adsorbent saturation and catalytic oxidation temperature;

[0052] Raw material data includes: raw material coefficient, which is specifically the raw material VOCs coefficient.

[0053] Specifically, the specific steps of obtaining the pollution prediction result are as follows:

[0054] Extract the raw material input amount and reaction temperature from the database; call the raw material coefficient from the raw material data, obtain the current production stage, and obtain the production coefficient based on the current production stage; the specific steps for obtaining the production coefficient are as follows:

[0055] Identify the openings of the feed valve and the discharge valve. If the feed valve opening is greater than 80% and the discharge valve opening is less than 20%, it is determined to be the feeding stage; if the feed valve opening is less than 20% and the discharge valve opening is less than 20%, it is determined to be the reaction stage; if the discharge valve opening is greater than 80%, it is determined to be the discharge stage, and define coefficients for each stage, where the production coefficient of the feeding stage is 2, the production coefficient of the reaction stage is 1.5, and the production coefficient of the discharge stage is 1;

[0056] It is worth noting that by distinguishing the pollution potential at different stages, risk assessment can be made more accurate, avoiding the lag in early warning at the feeding stage due to averaging calculations, reflecting the differences between stages, and avoiding fluctuations in control strategies due to excessive jumps in coefficients.

[0057] Perform a comprehensive analysis of the reaction temperature to obtain the temperature fluctuation value. The specific steps for obtaining the temperature fluctuation value are as follows:

[0058] Extract the current reaction temperature and the historical reaction temperature from the database, obtain the interval length according to the timestamp, and perform a comprehensive calculation on the current reaction temperature, the historical reaction temperature and the interval length to obtain the temperature fluctuation value;

[0059] The temperature fluctuation value is obtained as follows:

[0060] ;

[0061] Where, Indicates the temperature fluctuation value, specifically the rate of change of reaction temperature under a single working condition, Indicates the current reaction temperature, represents the historical reaction temperature, Indicates the interval duration.

[0062] In this embodiment, as shown in the following table, the temperature fluctuation value of each group reflects the dynamic change characteristics of the reaction temperature:

[0063] Table 1 Temperature fluctuation values

[0064] Group Current reaction temperature Historical reaction temperature Interval duration Temperature fluctuation value 1 200 198 5 0.4 2 210 200 5 2.0 3 190 200 5 -2.0

[0065] In the groups in the above table, the temperature fluctuation value of Group 1 is 0.4, indicating that the reaction temperature changes slowly, the VOCs volatilization is in a stable state, and it is suitable for conventional control strategies; the temperature fluctuation value of Group 2 is 2.0, indicating that the temperature rise rate is close to the fluctuation threshold and an early warning preparatory action needs to be triggered; the temperature fluctuation value of Group 3 is -2.0, indicating an abnormal temperature drop, which may be due to a cooling system failure that leads to a decrease in catalytic efficiency. It is necessary to start equipment troubleshooting first. By comparing the temperature fluctuation values ​​of different groups, operators can intuitively understand the severity of temperature changes and further optimize the temperature stabilization strategy.

[0066] It is worth noting that by quantifying the temperature change rate, early warning of sudden emission risks can be given, thereby providing a time-series early warning basis for sudden VOCs emission risks, effectively improving the response accuracy of temperature anomalies, and helping the system avoid the hidden risks of sudden temperature increases leading to sudden excess exhaust concentrations in advance.

[0067] Conduct a comprehensive analysis of raw material input, reaction temperature, raw material coefficient, and production coefficient to obtain a risk assessment value;

[0068] The specific method for obtaining the risk assessment value is as follows:

[0069]

[0070] Where, Represents the risk assessment value, which is used to quantify the pollution potential of the raw material coefficient under the current working conditions. Indicates the raw material coefficient, specifically the VOCs volatility coefficient of a single raw material, which is pre-calibrated by gas chromatography analysis of the raw material components. Indicates the amount of raw material input, specifically the real-time input mass of raw materials for a single working condition, which is collected by the flow meter or weighing module of the feeding system. Indicates the reaction temperature, specifically the real-time temperature of the reactor under a single working condition, which is collected by the built-in thermocouple sensor in the reactor. represents the production stage coefficient;

[0071] In this embodiment, the risk assessment value can be used to match the volatilization characteristics of VOCs with temperature, thereby providing a thermodynamic correction basis for risk assessment. When the reaction temperature is close to 25°C, it means that the temperature has a weak promoting effect on volatilization, the correction term approaches 1, and the risk assessment focuses more on the raw materials themselves. When the reaction temperature is much higher than 25°C, it means that the temperature significantly accelerates the volatilization of VOCs, forcing the risk assessment value to be amplified, driving the upgrade of the control strategy, effectively balancing the temperature sensitivity of the risk assessment and the rationality of the calculation, and helping the system to operate stably within a wide temperature range.

[0072] The fan frequency is extracted and the fan frequency, raw material input and reaction temperature are comprehensively analyzed to obtain the ventilation evaluation value;

[0073] The ventilation assessment value is obtained as follows:

[0074]

[0075] Where, It indicates the ventilation assessment value, which is used to quantify the matching degree between ventilation volume and VOCs pollution production. The larger the value, the more sufficient the ventilation and the stronger the dilution capacity. Indicates the fan frequency, specifically the real-time operating frequency of the fan under a single working condition, which is collected through the communication interface of the fan frequency converter controller. Indicates the amount of raw material input, specifically the real-time input mass of raw materials for a single working condition, which is collected by the flow meter or weighing module of the feeding system. Indicates the reaction temperature, specifically the real-time temperature of the reactor in a single working condition, which is collected by the reactor's built-in thermocouple sensor.

[0076] In this embodiment, the matching characteristics of the pollution production scale and ventilation demand can be comprehensively analyzed, thereby realizing dynamic on-demand adaptation of the ventilation strategy. The size of the ventilation assessment value indicates the balance between ventilation and pollution production, and reflects the adequacy of the dilution capacity, which helps to avoid insufficient ventilation caused by misjudgment of a single parameter and can drive the optimization of ventilation strategies from energy saving to pollution control in real time.

[0077] Comprehensively analyze the risk assessment value, temperature fluctuation value and ventilation assessment value to obtain the concentration prediction value;

[0078] The concentration prediction value is obtained as follows:

[0079]

[0080] Where, represents the predicted concentration value, Represents the risk assessment value, which is used to quantify the pollution potential of the raw material coefficient under the current working conditions. Represents the ventilation assessment value, which is used to quantify the matching degree between ventilation volume and VOCs pollution production. It is the reciprocal of the ventilation assessment value, which is used to reflect the dilution effect of ventilation on VOCs. Indicates the temperature fluctuation value, specifically the rate of change of reaction temperature under a single operating condition.

[0081] In this embodiment, the concentration prediction value is obtained through comprehensive calculation, and the superimposed characteristics of pollution production, ventilation, and temperature fluctuations can be comprehensively analyzed, thereby realizing full-factor correction of concentration warning. The size of the concentration prediction value represents the pollution risk level after the superposition of multiple factors, which helps to distinguish between false high risks and real ultra-concentrated crises, and can output differentiated warning decisions in real time.

[0082] Specifically, the specific steps of comparing the pollution prediction results with the safety threshold in real time are as follows:

[0083] Set a temperature fluctuation threshold and compare the temperature fluctuation value with the temperature fluctuation threshold in real time. If the temperature fluctuation value is greater than or equal to the temperature fluctuation threshold, it means that the temperature fluctuation is severe and the VOCs volatilization is unstable. The temperature fluctuation is determined to be abnormal and a temperature adjustment strategy is generated. The concentration prediction value is comprehensively analyzed to confirm the target catalytic temperature. The target catalytic temperature is then comprehensively calculated with the current catalytic temperature to obtain the temperature adjustment value, and the temperature is adjusted according to the temperature adjustment value.

[0084] Set the ventilation threshold and compare the ventilation assessment value with the ventilation threshold in real time. If the ventilation assessment value is greater than or equal to the ventilation threshold, it means that the ventilation volume cannot match the pollution production volume, and the VOCs concentration is likely to increase. The concentration is judged to be abnormal, and an early warning is issued. The ventilation is determined to be abnormal and a ventilation adjustment strategy is generated. The ventilation adjustment strategy is specifically as follows: subtract the ventilation assessment value from the ventilation threshold to obtain the deviation amount, set three-level adjustment amounts, and compare the deviation amount with the three-level adjustment amount respectively. If it is greater than or equal to the first adjustment amount and less than the second adjustment amount, it is judged to be slightly insufficient and the ventilation capacity is slightly increased; if it is greater than or equal to the second adjustment amount and less than the third adjustment amount, it is judged to be moderately insufficient and the ventilation capacity is increased moderately; if it is greater than or equal to the third adjustment amount, it is judged to be severely insufficient and the ventilation capacity is increased to the rated value. The rated value is set according to the critical value that the equipment can improve in the short term, thereby improving the ventilation capacity;

[0085] In this embodiment, by setting a three-level ventilation adjustment strategy, the degree characteristics of the ventilation gap can be comprehensively analyzed, thereby achieving a step-by-step response of fan control. The size of the ventilation adjustment amount indicates the strength of compensating the ventilation gap, reflecting the balance between emergency needs and equipment life, which helps to reduce the loss of frequent full-load operation of the fan and can adapt to the ventilation enhancement needs of different gaps in real time.

[0086] Set a concentration threshold and compare the predicted concentration value with the concentration threshold in real time. If the predicted concentration value is greater than or equal to the concentration threshold, the concentration threshold has three levels. The first level is close to the emission standard. At this time, an audible and visual warning will be triggered to remind staff to pay attention; the second level is exceeding the emission standard but not reaching the equipment safety criticality. At this time, it will be judged that there is a compliance risk, triggering the equipment lock warning, and driving the backup fan to enhance ventilation; the third level is reaching the equipment safety criticality. It will be judged that there is an explosion risk. At this time, an emergency shutdown warning will be triggered, and the raw material feed will be cut off immediately, and nitrogen purge will be started to prevent explosion.

[0087] In this embodiment, by dividing the concentration threshold into three levels, the dual-dimensional characteristics of environmental compliance and equipment safety can be comprehensively analyzed, thereby realizing hierarchical decision-making of early warning response. The level of the concentration threshold represents the level of risk, which helps to avoid production losses caused by shutdowns without exceeding the standard, and can trigger differentiated treatments from sound and light prompts to shutdown and purging in real time.

[0088] The overall workflow of this system is:

[0089] The tail gas from rubber additive granulation is first received and subjected to a cyclone dust removal to remove large dust particles. The large dust particles are then collected by a bag dust collector and then used again for raw rubber production. Alkaline solution spraying is then used to initially remove acidic gases and some sticky substances to reduce the risk of subsequent equipment blockage. The tail gas temperature is also tested. If the tail gas temperature is greater than 100°C or the humidity is greater than 80%, the spray cooling and freeze drying unit are activated to reduce the temperature to below 40°C and the humidity to below 40% to prevent equipment corrosion and ice blockage.

[0090] The pretreated exhaust gas first enters a biotrickling filter, which is filled with a polyurethane carrier and inoculated with a Thiobacillus bacterial colony to improve the degradation efficiency of hydrogen sulfide. A catalyst unit is added after the biotrickling filter to deeply remove organic sulfur that is difficult to degrade biologically. The catalyst unit is linked to a laser gas analyzer. When the outlet hydrogen sulfide concentration is greater than 10ppm, the catalyst regeneration process is automatically triggered, specifically using hot air purge, to ensure long-term treatment efficiency.

[0091] The high-concentration exhaust gas desorbed by the VOCs adsorption unit is introduced into the catalytic oxidation unit for oxidation to produce high-temperature exhaust gas. A three-stage waste heat recovery system is set up, and the high-temperature exhaust gas passes through the three-stage waste heat recovery system in sequence: the waste heat furnace converts the heat energy into saturated steam; the preheater then heats the exhaust gas to be treated, and the heat exchanger heats the workshop heating water, thereby reducing energy consumption and effectively utilizing waste heat;

[0092] VOCs concentration, tail gas temperature, pressure, and flow rate are monitored using an FTIR spectrometer, thermocouple, and pressure sensor. Raw material input, reaction temperature, fan frequency, adsorbent saturation, and catalytic oxidation temperature are collected using an electronic scale, in-reactor thermocouple, inverter, bed resistance sensor, and catalytic unit thermometer. Gas chromatography is used to calibrate the raw material coefficient, and the collected data is time-stamped and archived by raw material batch and production stage.

[0093] The saturation of the adsorbent is continuously monitored. When the data acquisition module detects that the saturation of the adsorbent reaches 80%, the linkage execution module immediately starts the automatic regeneration process of the adsorbent: first, the adsorption tower is isolated by switching the valve to prevent the regeneration process from affecting the operation of the main process; then nitrogen is introduced for displacement to reduce the oxygen concentration in the tower to below 2%; then the temperature in the tower is raised to 140°C through the heating system and kept constant for 30 minutes to allow the adsorbed pollutants to fully volatilize and be carried out of the tower by nitrogen; the high-concentration exhaust gas generated by desorption will be introduced into the catalytic oxidation unit for complete decomposition to avoid secondary pollution; finally, it is naturally cooled to below 60°C, and after confirming that the adsorption efficiency has recovered to more than 95% through sampling and testing, it is reconnected to the main system. Through this process, the service life of the adsorbent is improved and maintenance costs are reduced. The system monitors the VOCs concentration at the outlet of the catalytic unit in real time through a laser gas analyzer. When the efficiency is detected to be lower than 90%, the linkage execution module automatically switches to the backup catalyst unit and issues an audible and visual warning to prompt the operator to replace the deactivated catalyst;

[0094] In addition, in the data analysis module, the exhaust gas data also includes hydrogen sulfide concentration. The potential release of hydrogen sulfide is calculated by combining the current raw material input, temperature fluctuation value and raw material sulfur coefficient. The raw material sulfur coefficient is obtained through experiments. Specifically, it is the theoretical maximum amount of hydrogen sulfide released per kilogram of raw material under standard operating conditions through high-temperature melting, chemical reaction and other processes, and the change in hydrogen sulfide concentration is predicted. When the predicted value shows that it will rise to above 50ppm, the exhaust gas prediction module will incorporate this result into the pollution prediction result, driving the linkage execution module to start the sulfur bacteria activity enhancement program of the biotrickling filter in advance, forming a targeted control closed loop.

[0095] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0096] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to the specific embodiments described. Obviously, many modifications and variations are possible based on the content of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An intelligent control system for treating tar-containing tail gas, characterized in that: include: The data acquisition module is used to collect exhaust gas data, equipment operation data, and raw material data in real time and store them in the database. The raw material data includes the raw material coefficient, specifically the raw material VOCs coefficient. The collected exhaust gas data and equipment operation data are time-stamped to obtain the exhaust gas time series set and the equipment time series set; The exhaust gas prediction module is used to call the exhaust gas time series set and equipment time series set in the database, analyze the exhaust gas time series set, equipment time series set and raw material data, and obtain pollution prediction results based on the current production stage. The linkage control strategy is generated based on the pollution prediction results; The specific steps of obtaining the pollution prediction result are as follows: Extract the raw material input amount and reaction temperature from the database, call the raw material coefficient, obtain the current production stage, and obtain the production coefficient based on the current production stage. The production coefficient is obtained as follows: identify the opening of the feed valve and the discharge valve. If the opening of the feed valve is greater than 80% and the opening of the discharge valve is less than 20%, it is judged to be the feeding stage; if the opening of the feed valve is less than 20% and the opening of the discharge valve is less than 20%, it is judged to be the reaction stage; if the opening of the discharge valve is greater than 80%, it is judged to be the discharging stage, and a coefficient is defined for each stage, where the production coefficient of the feeding stage is 2, the production coefficient of the reaction stage is 1.5, and the production coefficient of the discharging stage is 1; Comprehensively analyze the reaction temperature to obtain the temperature fluctuation value; Conduct a comprehensive analysis of raw material input, reaction temperature, raw material coefficient, and production coefficient to obtain a risk assessment value; The fan frequency is extracted and the fan frequency, raw material input and reaction temperature are comprehensively analyzed to obtain the ventilation evaluation value; Comprehensively analyze the risk assessment value, temperature fluctuation value and ventilation assessment value to obtain the concentration prediction value; The safety warning module is used to compare the pollution prediction results with the safety threshold in real time, obtain the safety status based on the comparison results, and generate a warning signal based on the safety status; The linkage execution module is used to receive the linkage control strategy, drive the actuator to work according to the linkage control strategy, and dynamically adjust the operating parameters of the processing unit.

2. A control system for treating tar-containing tail gas according to claim 1, characterized in that: The exhaust gas data includes: exhaust gas concentration value, exhaust gas temperature, exhaust gas pressure and exhaust gas flow rate; Equipment operation data include: raw material input, reaction temperature, fan frequency, adsorbent saturation and catalytic oxidation temperature.

3. The control system for treating tar-containing tail gas according to claim 1, characterized in that: The specific steps of obtaining the temperature fluctuation value are as follows: The current reaction temperature and the historical reaction temperature are extracted from the database, and the interval duration is obtained according to the timestamp. The current reaction temperature, the historical reaction temperature and the interval duration are comprehensively calculated to obtain the temperature fluctuation value.

4. The control system for treating tar-containing tail gas according to claim 1, characterized in that: The specific steps of comparing the pollution prediction results with the safety threshold in real time are as follows: Set a temperature fluctuation threshold and compare the temperature fluctuation value with the temperature fluctuation threshold in real time. If the temperature fluctuation value is greater than or equal to the temperature fluctuation threshold, it is determined that the temperature fluctuation is abnormal and a temperature adjustment strategy is generated; Set a ventilation threshold and compare the ventilation assessment value with the ventilation threshold in real time. If the ventilation assessment value is greater than or equal to the ventilation threshold, the ventilation is determined to be abnormal and a ventilation adjustment strategy is generated; Set a concentration threshold and compare the predicted concentration value with the concentration threshold in real time. If the predicted concentration value is greater than or equal to the concentration threshold, the concentration is judged to be abnormal and an early warning is issued.

5. The control system for treating tar-containing tail gas according to claim 4, characterized in that: The specific steps of generating the temperature adjustment strategy are as follows: A comprehensive analysis is performed on the concentration prediction value to confirm the target catalytic temperature, and the target catalytic temperature and the current catalytic temperature are comprehensively calculated to obtain a temperature adjustment value, and the temperature is adjusted according to the temperature adjustment value.

6. The control system for treating tar-containing tail gas according to claim 1, characterized in that: When storing the database, the data acquisition module classifies and archives the exhaust gas time series set, the equipment time series set, and the raw material data according to the raw material batch and the production stage to form a traceable working condition data set.

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