Gas harmless treatment device for automobile sealing strip production

Abstract

The invention provides a gas harmless treatment device for automobile sealing strip production, and relates to the field of industrial waste gas treatment. The gas harmless treatment device for automobile sealing strip production comprises a spraying tower, a gas inlet assembly is installed at the top of the spraying tower, a spraying tower control part is installed at the front end of the left side of the spraying tower, and a display panel is arranged on the left side of the spraying tower control part and installed on the outer wall of the left side of the spraying tower. By arranging an intelligent control system in which a data acquisition module, a primary processing module, a decision judgment module, a prediction analysis module and an optimization output module cooperatively work, the VOCs concentration of inlet gas and outlet gas, the pH value of spraying liquid and the temperature of each unit can be monitored in real time, the instantaneous processing efficiency is dynamically calculated, and the running state of the system is judged; the whole-course closed-loop monitoring and intelligent adjustment of the waste gas treatment process are realized, the stability and adaptability of the treatment efficiency are remarkably improved, and the instantaneous excessive emission caused by the fluctuation of the components or the concentration of the waste gas is effectively avoided.

Description

Technical Field

[0001] This invention relates to the field of industrial waste gas treatment technology, specifically to a harmless gas treatment device for automobile sealing strip production. Background Technology

[0002] With the rapid development of my country's automotive industry and increasingly stringent environmental regulations, the issue of exhaust emissions during the production of automotive parts has received significant attention. During the production of automotive sealing strips, especially in processes such as rubber or plastic mixing, extrusion, vulcanization, and surface treatment, a certain amount of volatile organic compounds (VOCs) and other harmful gases are generated. If these are directly emitted without effective treatment, they will pose a threat to the health of workers in the workshop and may pollute the surrounding atmospheric environment. Therefore, developing efficient, reliable, and economical waste gas treatment devices has become an urgent need for automotive sealing strip manufacturers to achieve green production and meet environmental compliance requirements.

[0003] Currently, common technologies for treating industrial organic waste gas include physical adsorption (such as activated carbon adsorption), chemical absorption, thermal combustion, catalytic oxidation, and biological treatment. In the automotive sealing strip industry, spray towers combined with chemical absorption or oxidation reactions are used to some extent due to their relatively low investment and operating costs and mature technology. Traditional devices typically consist of a spray unit, a reaction unit, and a terminal purification unit connected in series. They degrade some pollutants through the absorption of the spray liquid or chemical reaction, followed by demisting and adsorption before discharge. While such systems can purify waste gas to a certain extent, their operation and control largely rely on manual experience or simple fixed-point parameter adjustments.

[0004] However, existing treatment devices still face several prominent problems in actual operation: First, the composition and concentration of exhaust gas often fluctuate with changes in production batches and raw materials, making it difficult to dynamically adapt to fixed-parameter operating modes, which can easily lead to unstable treatment efficiency and even instantaneous emissions exceeding standards; Second, the system lacks the ability to continuously and comprehensively monitor and intelligently analyze key operating parameters (such as treatment efficiency, pH value, temperature, etc.), making it impossible to predict performance degradation trends, and maintenance often lags behind actual needs, affecting the long-term stable operation of the system; Third, the control between different units (spraying, reaction, adsorption) is relatively independent and lacks coordination, making it difficult to optimize overall energy efficiency and reagent dosage, resulting in high operating costs. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a harmless gas treatment device for automotive sealing strip production. It solves the problems of waste gas treatment systems operating with fixed parameters, which struggle to dynamically adapt to fluctuations in waste gas composition and concentration, leading to unstable treatment efficiency and instantaneous emissions exceeding standards. Furthermore, the lack of continuous comprehensive monitoring and intelligent analysis of key operating parameters prevents the system from predicting performance degradation trends, resulting in delayed maintenance and impacting long-term stable operation. Additionally, the isolated control and insufficient coordination between treatment units hinder the optimization of overall energy efficiency and reagent dosage, resulting in high operating costs.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a gas harmless treatment device for automotive sealing strip production, comprising a spray tower, an air inlet assembly installed at the top of the spray tower, a spray tower control component installed at the front left side of the spray tower, a display panel installed on the left side of the spray tower control component, the display panel being mounted on the outer left side wall of the spray tower, a pipe installed inside the left side of the spray tower, a reaction tank connected to the right side of the spray tower, an outlet tower installed on the right side of the reaction tank, and a control component installed at the front right side of the spray tower. The spray tower control component and the control component together constitute an intelligent control system for achieving closed-loop monitoring and intelligent adjustment of waste gas treatment.

[0007] Preferably, the intelligent control system includes a data acquisition module, a primary processing module, a decision-making module, a predictive analysis module, and an optimization output module; the data acquisition module is used to collect inlet air concentration, outlet air concentration, pH value, and temperature data of each unit in real time; the primary processing module is used to calculate instantaneous processing efficiency and determine the system operating status; the decision-making module is used to activate or suspend the predictive analysis module according to the status; the predictive analysis module is used to analyze the system health trend based on historical data; and the optimization output module is used to generate control commands according to the status and trend.

[0008] Preferably, the primary processing module has a preset first-level efficiency threshold and a second-level efficiency threshold. Based on the comparison result between the instantaneous processing efficiency and the threshold, the system status is marked as "high-efficiency and stable state", "state requiring attention" or "alarm state".

[0009] Preferably, the predictive analysis module calculates the system's comprehensive health index based on historical processing efficiency, pH value, and temperature data, and predicts future health trends through linear fitting, outputting trend conclusions.

[0010] Preferably, in the calculation of the health index, adjustable weighting coefficients are assigned to processing efficiency, pH stability and temperature stability, respectively, and the weighting coefficients are obtained through system calibration.

[0011] Preferably, the optimization output module generates control commands based on the real-time system status and prediction conclusions, according to a preset strategy matrix, to adjust at least one parameter among the spray tower circulating pump frequency and the reaction tank dosing rate.

[0012] Preferably, when the system is in a "state requiring attention" and the predicted trend is decay, the optimized output module executes an enhancement strategy, simultaneously increasing the frequency of the spray tower circulating pump and the dosing rate of the reaction tank.

[0013] Preferably, the reaction vessel is a closed pressure vessel with multiple layers of catalytic packing and a stirrer inside, and is covered with an insulation layer on the outside.

[0014] Preferably, the exhaust tower is equipped with a demister and an activated carbon adsorption layer, and a standardized exhaust port is provided at the top.

[0015] Preferably, the spray tower is provided with an atomizing spray layer, a packing layer and a circulating liquid tank from top to bottom, and the packing layer is filled with multifaceted hollow spheres or Pall rings.

[0016] This invention provides a gas harmless treatment device for automotive sealing strip production. It has the following beneficial effects:

[0017] 1. This invention establishes an intelligent control system that integrates a data acquisition module, a primary processing module, a decision-making module, a predictive analysis module, and an optimization output module. This system can monitor the VOCs concentration in the inlet and outlet air, the pH value of the spray liquid, and the temperature of each unit in real time. It can dynamically calculate the instantaneous treatment efficiency and determine the system's operating status, thereby achieving closed-loop monitoring and intelligent adjustment of the entire waste gas treatment process. This significantly improves the stability and adaptability of the treatment efficiency and effectively avoids instantaneous emissions exceeding standards due to fluctuations in waste gas composition or concentration.

[0018] 2. By introducing a comprehensive health index HI(t) calculation and linear fitting prediction mechanism based on historical data, this invention can automatically start performance trend analysis when the system enters a "state requiring attention", predict future health changes, thereby identifying the system performance degradation trend in advance, realizing predictive maintenance, reducing unplanned downtime, and ensuring the long-term stable and reliable operation of the device.

[0019] 3. This invention optimizes the output module to automatically generate and issue control commands according to the real-time status and prediction conclusions and a preset strategy matrix. It coordinates and adjusts key parameters such as the frequency of the spray tower circulating pump and the dosing rate of the reaction tank, realizing intelligent linkage and overall energy efficiency optimization among multiple units of spraying, reaction and adsorption. While ensuring the treatment effect, it reduces the consumption of reagents and energy, and saves operating costs. Attached Figure Description

[0020] Figure 1 This is a schematic diagram of the overall structure of the present invention;

[0021] Figure 2 This is a schematic diagram of the structure of the control component of the present invention;

[0022] Figure 3 This is a schematic diagram of the structure of the gas outlet tower of the present invention;

[0023] Figure 4 This is a structural diagram of the intelligent control system of the present invention.

[0024] The components include: 1. Spray tower; 2. Spray tower control components; 3. Air inlet assembly; 4. Pipeline; 5. Display panel; 6. Control components; 7. Air outlet tower; and 8. Reaction tank. Detailed Implementation

[0025] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0026] like Figure 1-3 As shown, this embodiment of the invention provides a gas harmless treatment device for automotive sealing strip production, including a spray tower 1. An air inlet assembly 3 is installed on the top of the spray tower 1. A spray tower control component 2 is installed on the front left side of the spray tower 1, and a display panel 5 is located on the left side of the control component 2. The display panel 5 is installed on the outer left wall of the spray tower 1. A pipe 4 is installed inside the left side of the spray tower 1. A reaction tank 8 is connected to the right side of the spray tower 1. An outlet tower 7 is installed on the right side of the reaction tank 8. A control component 6 is installed on the front right side of the spray tower 1.

[0027] The spray tower 1 is a vertical cylindrical structure made of corrosion-resistant polypropylene or fiberglass. An air inlet assembly 3 is installed at the top, including an inlet pipe, gas distributor, and regulating valves, used to evenly introduce the waste gas collected from the production line into the tower. The tower has three treatment units from top to bottom: the uppermost layer is an atomizing spray layer with multiple spiral nozzles connected to pipe 4; the middle layer is a packing layer filled with multi-faceted hollow spheres or Pall rings to increase the gas-liquid contact area; and the lower layer is a circulating liquid tank for collecting spray liquid and continuously supplying it to the spray layer via a circulating pump. The spray tower control unit 2 is installed on the left front end of the spray tower 1, with a built-in PLC controller for adjusting spray pressure, circulation flow rate, and monitoring pH value. A display panel 5 is fixed to the left outer wall of the spray tower 1, displaying real-time gas flow rate, tower temperature, liquid level, and alarm information, and supporting parameter settings and mode selection. Pipe 4 runs through the left interior of the spray tower. The system includes a spray liquid delivery pipe, a water supply pipe, and a waste discharge pipe, all made of UPVC material, which has good chemical corrosion resistance. The right side of the spray tower 1 is connected to the reaction tank 8 via a flange. The reaction tank 8 is a closed pressure vessel with an internal agitator and a multi-layer catalytic packing layer. The upper part of the tank has a dosing port for adding oxidants or special catalysts to further degrade insoluble organic matter in the gas. The tank is covered with an insulation layer to maintain a suitable reaction temperature. The right side of the reaction tank 8 is connected to the gas outlet tower 7. The gas outlet tower 7 has a built-in high-efficiency demister and an activated carbon adsorption layer to remove trace water droplets and residual odor substances carried in the gas. The top of the tower has a standardized exhaust port that can be directly connected to the plant's main exhaust pipe. The control unit 6 is installed at the front right side of the spray tower 1 and integrates a gas sensor and an electric actuator to regulate the fan frequency, dosing amount, and exhaust valve opening of the entire system, achieving fully automatic closed-loop control.

[0028] like Figure 4 As shown, the intelligent control system of this embodiment has a hardware architecture composed of the spray tower control component 2 and the control component 6, which interact and coordinate commands through an industrial communication bus (such as PROFIBUS-DP or Ethernet). The system's software logic is implemented by the following five collaborative modules, which are distributed across the two control components:

[0029] The data acquisition module is deployed on control unit 6, which integrates the data acquisition unit and is electrically connected to multiple sensors. These sensors include: a VOCs concentration sensor installed at the inlet of the spray tower 1, a VOCs concentration sensor installed at the exhaust outlet of the outlet tower 7, a pH meter installed in the circulating liquid tank of the spray tower 1, and temperature sensors respectively installed inside the spray tower 1, the reaction tank 8, and the outlet tower 7. The data acquisition module operates at a fixed sampling frequency, synchronously reading the real-time measurement values ​​of each sensor through the data acquisition unit to obtain, including, the original inlet air concentration C at the i-th sampling time.原 (i) Final gas concentration C 终 (i) pH value of the spray liquid (pH(i)), internal temperature of the spray tower (T1(i)), internal temperature of the reaction tank (T2(i)), and internal temperature of the gas outlet tower (T3(i)). Subsequently, the data acquisition module performs analog-to-digital conversion and filtering preprocessing on the read raw data, and uploads the processed data to the spray tower control unit 2 in real time via the industrial communication bus.

[0030] The primary processing module is responsible for calculating the instantaneous processing efficiency η. 即时 It compares the current system state (STABLE, ATTENTION, or ALARM) with a preset threshold and sets a status flag (Flag).

[0031] The primary processing module is deployed in the spray tower control unit 2. The core of the spray tower control unit 2 is a high-performance PLC or industrial computer, which receives real-time data streams from the control unit 6 and processes the latest set of sampled data (i=n). First, the instantaneous processing efficiency η is calculated according to the formula:

[0032] η 即时 =[1-(C 终 (n) / C 原 (n)]×100%,

[0033] Then, the calculated η 即时 Compare with two preset efficiency thresholds:

[0034] If η 即时 ≥η th1 If the system is in a "highly efficient and stable state", then the status flag Flag = "STABLE" is set.

[0035] If η th2 ≤η 即时 <η th1 If the system is in a "needs attention" state, then the status flag Flag="ATTENTION" is set.

[0036] If η 即时 <η th2 If the system is in an "alarm state", the status flag Flag = "ALARM" will be set.

[0037] Wherein, the first-order efficiency threshold η th1 Typical value is 95%, second-order efficiency threshold η th2 The typical value is 85%. These two thresholds are set based on the safety margin of emission standards and the optimal operating range of the equipment, and are stored in the PLC's non-volatile memory. The operator can select the threshold within a specified range (e.g., η) via the display panel 5.th1 Between 92% and 98%, η th2 Adjustments will be made between 80% and 90%.

[0038] The decision-making module is responsible for monitoring the Flag value and managing the startup, operation, and hibernation of the predictive analysis module based on its changes;

[0039] The decision-making module is deployed in the spray tower control unit 2 and continuously monitors the value of the global status flag, Flag. The moment the Flag value changes from "STABLE" or "ALARM" to "ATTENTION," it immediately sends a start command to the predictive analysis module. As long as Flag remains at "ATTENTION," the predictive analysis module operates according to its own cycle. Once Flag changes to "STABLE," the decision-making module instructs the predictive analysis module to go into hibernation. If Flag directly changes to "ALARM," the decision-making module immediately interrupts the predictive analysis module's calculations and prioritizes the execution of emergency strategies.

[0040] Once activated, the predictive analysis module calculates the system's comprehensive health index HI(t) based on retrieved historical data, predicts future health trends through linear fitting, and outputs a conclusion.

[0041] The predictive analysis module is deployed in the spray tower control unit 2. Upon receiving instructions from the decision-making module, the predictive analysis module initiates an independent, low-priority background computation task. The predictive analysis module retrieves all η values ​​from the local historical database of the spray tower control unit 2, tracing back M consecutive hours (e.g., M=24) from the moment the Flag changed to "ATTENTION". 即时 pH and T data sequences.

[0042] First, for the original η 即时 The sequence is smoothed using a filtering method, such as a moving average with a window width of 5, to obtain the smoothed efficiency sequence η. smooth (t). Then, calculate the comprehensive health index HI(t) for each historical time point t according to the formula:

[0043] HI(t) = α*(η) smooth (t) / 100)+β*(1-|pH(t)-pH set | / ΔpH max )+γ*(1-min(T variance (t), T var，max ) / T var，max ),

[0044] Where, η smooth(t) / 100 is the component that normalizes the smoothing efficiency to the [0, 1] interval;

[0045] 1-|pH(t)-pH set | / ΔpH max It is a pH stability component, pH set The optimal setting is 7.0, with a typical value of 7.0, ΔpH max The maximum allowable deviation is typically 2.0, and this component also normalizes the results to [0, 1].

[0046] 1-min(T) variance (t), T var，max ) / T var，max It is the temperature stability component, T variance (t) represents the temperature variance within a certain window (e.g., 1 hour) centered at time point t. var，max The maximum allowable variance (typically 10.0℃) 2 The min() function and the normalization operation of the denominator ensure that the component falls within the interval [0, 1].

[0047] α, β, and γ are weighting coefficients that characterize the contribution weights of treatment efficiency, pH stability, and temperature stability to the overall health of the system, respectively, and satisfy α+β+γ=1.

[0048] The weighting coefficients α, β, and γ are obtained through a pre-defined objective calibration process to ensure the repeatability and consistency of the weight allocation. The calibration process is executed automatically according to the following steps:

[0049] During the system commissioning phase, the control device was operated for at least 24 hours under three preset typical operating conditions, and the η was recorded synchronously throughout the entire period. 即时 The data sequences for pH(t) and T(t) are as follows: The three operating conditions are:

[0050] Operating Condition A (High Efficiency and Stability): Using standard VOCs test gas, maintain the intake concentration within 80%~100% of the design value;

[0051] Operating Condition B (Load Fluctuation): Alternate between high and low intake air concentrations (e.g., 120% and 60% of the design value) at fixed intervals (e.g., 10 minutes).

[0052] Operating Condition C (Simulated Attenuation): In standard test gas, the frequency of the spray tower circulating pump or the dosing rate of the reaction tank are gradually reduced to 70% of the normal value to simulate performance degradation.

[0053] For each recorded time point t, HI is automatically calculated without relying on human experience, using a pre-defined, universally accepted reference value function that reflects system performance. ref (t). The function is defined as:

[0054] HI ref (t) = (η) smooth (t) / 100)*0.7+S_ pH (t) * 0.2 + S_ T (t) * 0.1,

[0055] Among them, S pH (t) = 1 - min(|pH(t) - pH) set |,2.0) / 2.0,S T (t) = 1 - min(T) variance (t), 10.0) / 10.0, this function is pre-assigned with a higher weight for efficiency (0.7) and a lower weight for pH and temperature stability (0.2, 0.1) to establish a uniform calibration benchmark.

[0056] All data points {η} collected under the three operating conditions smooth (t), pH(t), T(t) and their corresponding HI ref Substitute the (t) value into the health index model HI(t) = α * (η) smooth (t) / 100)+β*S pH (t) + γ*S T (t)

[0057] Using the least squares multiple linear regression algorithm, we solve for the model's calculated value HI(t) and the reference value HI. ref The coefficients α, β, γ that minimize the mean square error between (t) are automatically normalized to satisfy α + β + γ = 1.

[0058] The solved α, β, γ coefficient sets are stored in the non-volatile memory of the spray tower control component (2) as weights for evaluating the health of the system operation.

[0059] Through the above process, the determination of the weighting coefficients is entirely based on preset objective operating conditions and mathematical calculations, eliminating the subjective influence of human experience and ensuring that any similar device can obtain consistent and repeatable weighting coefficients under the same calibration process. In a calibration example following this process, typical values ​​obtained were α=0.65, β=0.22, and γ=0.13.

[0060] Health threshold HI th The determination method includes: after the device is installed, debugged, and enters a state of high-efficiency and stable operation, continuously recording the value of its health index HI(t); taking the lower quartile (or 10th percentile) of all HI(t) values ​​during this period as the threshold HI. th The baseline value. Based on this method, a typical HI...th The value is 0.72, which is also stored in the spray tower control unit 2 and can be finely adjusted within a reasonable range via the display panel 5.

[0061] After calculating the historical HI(t) sequence, the predictive analysis module uses time t (in hours) as the independent variable and HI(t) as the dependent variable, and performs linear fitting using the least squares method to minimize the sum of the squares of the vertical distances (residuals) from all data points to the line. The fitted linear equation is expressed as:

[0062] HI fit (t) = k*t + b,

[0063] Where k is the slope, representing the rate of change of the health index HI(t) over time, in units of h. -1 The specific value of k is automatically calculated using the least squares method based on the selected historical HI(t) sequence. The calculation formula is as follows:

[0064] k=[n* - * ] / [n* - ],

[0065] Where n is the number of data points involved in the fitting, t i and HI i , k and k are the time and health value of the i-th data point, respectively. A negative k value indicates that the health value is declining. The absolute value of k directly reflects the rate of degradation of system performance.

[0066] b is the intercept, representing the health estimate of the fitted straight line at the zero point of the time axis (i.e., the start time of the fitted time window). It is a dimensionless number, and the value of b is also automatically calculated by the least squares method. The calculation formula is:

[0067] b = ( -k* ) / n,

[0068] b and k together determine the position of the fitted line, and their values ​​represent the baseline level of system health at the start of the fitting process.

[0069] Furthermore, the future time point t future =t current +N, where t current Let N be the current time, and N be the preset forecast look-ahead time, typically N = 8 hours. Substituting these values ​​into the fitting equation, we obtain the future time t. future Health prediction value at any given time:

[0070] HI pred =k*t future+b,

[0071] Finally, the predicted value HI pred Compared with the preset health threshold HI th Comparison, threshold HI th It is usually determined by the lower quantile (lower quartile or 10th percentile) of the historical HI(t) values ​​of the statistical system under "efficient and stable conditions," with a typical value of 0.72. The comparison rule is as follows:

[0072] If HI pred ≥HI th If the output is Conclusion="STABLE_TREND", it indicates that the trend is stable.

[0073] If HI pred <HI th If the output is Conclusion="DECAY_TREND", it indicates that the health level is declining.

[0074] The optimization output module generates control commands based on the received real-time status Flag and prediction conclusion according to the preset strategy matrix, and sends them to the actuator in the control unit 6 through the industrial communication bus.

[0075] The optimized output module is deployed in the spray tower control unit 2. It receives the real-time Flag from the primary processing module and the predicted Conclusion from the predictive analysis module. Based on the preset strategy matrix, it generates and issues precise control commands. An example of the strategy matrix is ​​as follows:

[0076] When Flag="STABLE", basic strategy A is executed, the optimization output module does not issue adjustment instructions, and all actuators maintain their current set parameters, including circulation pump frequency, dosing pump rate, etc.

[0077] When Flag = “ATTENTION” and Conclusion = “STABLE_TREND”, optimization strategy B is executed, and the optimization output module generates the first control instruction. The content of the instruction is: to adjust the operating frequency of the circulating pump of the spray tower (1) based on its current instantaneous frequency value F. 当前 Upgraded to F 当前 ×(1+δ1), where δ1 is the first adjustment coefficient, with a value range of 5%~10%.

[0078] When Flag = "ATTENTION" and Conclusion = "DECAY_TREND", the reinforcement strategy C is executed, optimizing the output module to generate a second control instruction, which includes two parallel operations:

[0079] Parallel operation 1: Increase the operating frequency of the circulating pump of the spray tower 1 to F. 当前 ×(1+δ2), where δ2 is the second adjustment coefficient, with a value range of 15%~20%, and δ2>δ1;

[0080] Parallel operation two: The oxidant dosing pump rate of the reaction vessel 8 is adjusted from its preset rated dosing acceleration rate R. 额定 Upgraded to R 额定 ×λ, where λ is the drug enhancement coefficient, with a value of 1.5.

[0081] At the same time, an interface prompt command is generated to switch the current operating condition view of the display panel 5 to an enhanced monitoring view with preset warning signs.

[0082] When Flag = "ALARM", emergency strategy D is executed immediately, the optimized output module generates the highest priority third control command, and sets the oxidant dosing pump rate to the maximum safe rate R allowed by the equipment. 最大 At the same time, the built-in audible and visual alarm device of the control component 6 is triggered.

[0083] Among them, the adjustment coefficients δ1, δ2 and the dosing enhancement coefficient λ in the strategy matrix are determined based on the system calibration experiment: during the commissioning phase, different exhaust gas loads and concentration fluctuations are simulated, and the response relationship between the frequency of the spray tower circulating pump, the dosing rate of the reaction tank and the treatment efficiency is recorded. The optimal coefficient combination is obtained through fitting analysis to ensure that the adjustment process is both responsive and does not over-adjust.

[0084] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A gas harmless treatment device for automobile sealing strip production, comprising a spray tower (1), characterized in that: An air intake assembly (3) is installed on the top of the spray tower (1). A spray tower control component (2) is installed on the front left side of the spray tower (1). A display panel (5) is provided on the left side of the spray tower control component (2), and the display panel (5) is installed on the outer left side of the spray tower (1). A pipe (4) is installed inside the left side of the spray tower (1). A reaction tank (8) is connected to the right side of the spray tower (1). An exhaust tower (7) is installed on the right side of the reaction tank (8). A control component (6) is installed on the front right side of the spray tower (1). The spray tower control component (2) and the control component (6) together constitute an intelligent control system for realizing closed-loop monitoring and intelligent adjustment of waste gas treatment.

2. The gas harmless treatment device for automobile sealing strip production according to claim 1, characterized in that: The intelligent control system includes a data acquisition module, a primary processing module, a decision-making module, a predictive analysis module, and an optimization output module. The data acquisition module is used to collect in-situ air concentration, outlet air concentration, pH value, and temperature data of each unit in real time. The primary processing module is used to calculate instantaneous processing efficiency and determine the system operating status. The decision-making module is used to activate or shut down the predictive analysis module based on the status. The predictive analysis module is used to analyze the system health trend based on historical data. The optimization output module is used to generate control commands based on the status and trend.

3. The gas harmless treatment device for automobile sealing strip production according to claim 2, characterized in that: The primary processing module is preset with a first-level efficiency threshold and a second-level efficiency threshold. Based on the comparison result between the instantaneous processing efficiency and the threshold, the system status is marked as "high-efficiency and stable state", "state requiring attention" or "alarm state".

4. The gas harmless treatment device for automobile sealing strip production according to claim 2, characterized in that: The predictive analysis module calculates the system's comprehensive health index based on historical processing efficiency, pH value, and temperature data, and predicts future health trends through linear fitting, outputting trend conclusions.

5. A gas harmless treatment device for automobile sealing strip production according to claim 2, characterized in that: In the calculation of the health index, adjustable weighting coefficients are assigned to processing efficiency, pH stability and temperature stability, respectively, and these weighting coefficients are obtained through system calibration.

6. The gas harmless treatment device for automobile sealing strip production according to claim 2, characterized in that: The optimization output module generates control commands based on the system's real-time status and prediction conclusions, according to a preset strategy matrix, to adjust at least one parameter among the spray tower circulating pump frequency and the reaction tank dosing rate.

7. The gas harmless treatment device for automobile sealing strip production according to claim 2, characterized in that: When the system is in a "state of concern" and the predicted trend is decay, the optimization output module executes an enhancement strategy, which simultaneously increases the frequency of the spray tower circulating pump and the dosing rate of the reaction tank.

8. The gas harmless treatment device for automobile sealing strip production according to claim 1, characterized in that: The reaction vessel (8) is a closed pressure vessel with multiple layers of catalytic packing and a stirrer inside, and is covered with a heat insulation layer on the outside.

9. A gas harmless treatment device for automobile sealing strip production according to claim 1, characterized in that: The exhaust tower (7) is equipped with a demister and an activated carbon adsorption layer, and has a standardized exhaust port at the top.

10. A gas harmless treatment device for automobile sealing strip production according to claim 1, characterized in that: The spray tower (1) is provided with an atomizing spray layer, a packing layer and a circulating liquid tank from top to bottom. The packing layer is filled with multi-faceted hollow spheres or Pall rings.

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