Organic waste gas treatment device based on adsorption and desorption treatment of zeolite molecular sieve

Abstract

The invention provides an organic waste gas treatment device based on zeolite molecular sieve adsorption and desorption treatment. The organic waste gas treatment device comprises an efficient pretreatment unit, a composite zeolite molecular sieve adsorption tower group, a plasma-assisted microwave-hot air regeneration unit, a multi-mode tail gas treatment unit, a digital twin intelligent regulation and control system and a modular expansion interface. By integrating the high-precision VOCs analyzer, the self-adaptive airflow controller, the infrared spectrometer, the multi-channel heat recoverer, the high-performance edge computing server and the intelligent pneumatic valve system, the optimized processing method realizes accurate execution of a formula, the VOCs removal rate is remarkably increased, and carbon loss and energy consumption are reduced. The method has the remarkable advantages in the aspects of VOCs removal rate, zeolite regeneration efficiency, energy consumption control and operation cost, meanwhile, through deep intelligent regulation and multi-mode treatment, the efficient, stable and low-cost VOCs treatment requirements under complex working conditions are met, and an innovative solution is provided for industrial waste gas treatment.

Description

Technical Field

[0001] The present invention relates to the technical field of waste gas treatment, and in particular to an organic waste gas treatment device based on zeolite molecular sieve adsorption and desorption treatment. Background Art

[0002] With the rapid development of industrialization, the emission of volatile organic compounds (VOCs) has become a key issue in environmental pollution control. Traditional organic waste gas treatment technologies, such as adsorption, catalytic combustion and condensation recovery, have limitations in treating complex and diverse VOCs waste gases. For example, a single adsorption material is difficult to efficiently capture VOCs of different chemical properties (such as aromatic, chlorine-containing, nitrogen-containing and large molecular VOCs), resulting in low adsorption efficiency and difficulty in material regeneration. In addition, traditional treatment devices lack the ability to monitor and dynamically control the composition and concentration of waste gas in real time, and cannot adapt to complex working conditions with fluctuating VOCs concentrations, which can easily lead to problems such as high energy consumption, large zeolite loss and substandard tail gas emissions. These problems limit the treatment efficiency and economy of existing technologies, making it difficult to meet increasingly stringent environmental protection requirements.

[0003] In existing technologies, zeolite molecular sieves are widely used in VOCs treatment due to their high specific surface area and selective adsorption properties. However, the adsorption capacity of a single zeolite material for multiple VOCs is limited, and the regeneration process often uses high-temperature hot air or simple microwave heating, which leads to high energy consumption, incomplete desorption, and high zeolite carbon loss. At the same time, the exhaust gas treatment mode of traditional devices is single and difficult to dynamically switch according to the characteristics of VOCs, resulting in low treatment efficiency of low-concentration VOCs and insufficient heat recovery. In addition, the existing system lacks intelligent control methods and cannot optimize operating parameters through real-time data analysis, which limits the overall performance and modular expansion capabilities of the device. Summary of the Invention

[0004] The purpose of the present invention is to provide a much-needed comprehensive solution that integrates efficient pretreatment, multi-stage differentiated adsorption, intelligent regeneration, multi-mode exhaust gas treatment and deep intelligent regulation to improve VOCs removal efficiency, reduce operating costs and achieve flexible system expansion.

[0005] To achieve the above objectives, the present invention proposes the following technical solution: an organic waste gas treatment device based on zeolite molecular sieve adsorption and desorption treatment, comprising the following modules:

[0006] High-efficiency pretreatment unit, including electric bag composite dust collector, plasma pre-oxidation module, variable frequency condensing dehumidifier and high-precision VOCs analyzer, is used to remove particulate matter, decompose high-molecular VOCs, reduce humidity and monitor exhaust gas composition in real time;

[0007] The composite zeolite molecular sieve adsorption tower group includes four-stage adsorption towers, each tower is filled with different composite zeolite molecular sieves, and the tower body is equipped with an airflow distribution optimization device, an adaptive airflow controller, a VOCs concentration sensor and an intelligent pneumatic valve system;

[0008] Plasma-assisted microwave-hot air regeneration unit, including a partitioned microwave generator, a low-pressure plasma generator, a hot air circulation system, a multi-stage condensation recovery device and an infrared spectrometer, is used for high-efficiency, low-loss zeolite regeneration and monitoring of tail gas components;

[0009] Multi-mode exhaust treatment unit, including catalytic combustion furnace, photocatalytic oxidation module, condensation recovery device and multi-channel heat recovery device, dynamically switches treatment modes to adapt to different VOCs characteristics;

[0010] A digital twin intelligent control system, including a sensor network, a digital twin platform, a deep learning module, a high-performance edge computing server, and an intelligent pneumatic valve system, predicts VOC concentration fluctuations and optimizes operating parameters based on deep learning and intelligent optimization algorithms;

[0011] Modular expansion interface, including standardized gas and circuit interfaces, supports functional expansion and external system compatibility;

[0012] Among them, the device collaboratively controls various modules through a digital twin intelligent control system to remove multiple VOCs in exhaust gas, reduce emission concentration, and reduce zeolite carbon loss rate.

[0013] Furthermore, in the present invention, in the high-efficiency pretreatment unit:

[0014] Electric bag composite dust collector, which combines electrostatic dust removal and bag filtration to remove particulate matter;

[0015] Plasma pre-oxidation module, using a pulsed plasma generator to decompose high-molecular VOCs;

[0016] Variable frequency condensing dehumidifier, reducing exhaust gas humidity through two-stage condensation;

[0017] High-precision VOCs analyzer, real-time monitoring of exhaust gas components and concentrations.

[0018] Furthermore, in the present invention, in the four-stage adsorption tower of the composite zeolite molecular sieve adsorption tower group:

[0019] The first tower is filled with zeolite molecular sieves loaded with TiO2 and CuO, targeting aromatic and sulfur-containing VOCs;

[0020] The second tower is filled with zeolite molecular sieves doped with Fe2O3 and MnO2, targeting chlorine- and nitrogen-containing VOCs;

[0021] The third tower is filled with ZSM-5 doped zeolite molecular sieve, targeting large molecular VOCs;

[0022] The fourth tower is filled with high surface area zeolite molecular sieve to capture residual VOCs;

[0023] Adaptive air flow controller to adjust air flow speed;

[0024] Intelligent pneumatic valve system, dynamic switching of adsorption towers;

[0025] An airflow distribution optimization device, including a porous guide plate and a vortex generator;

[0026] VOCs concentration sensor, real-time monitoring of VOCs concentration.

[0027] Furthermore, in the plasma-assisted microwave-hot air regeneration unit of the present invention, zoned microwave generators are arranged in layers to precisely heat the saturated area; a low-pressure plasma generator decomposes stubborn VOC residues; a hot air circulation system is equipped with a heat recovery device; a multi-stage cold condensation recovery device recovers VOCs in stages; and an infrared spectrometer monitors the desorbed tail gas components.

[0028] Furthermore, in the present invention, in the multi-mode exhaust gas treatment unit, the catalytic combustion furnace uses a composite catalyst to treat high-concentration VOCs; the photocatalytic oxidation module is equipped with a light source and a catalytic coating to treat low-concentration VOCs; the cold condensation recovery device recovers VOCs of different boiling points in a graded manner; and the multi-channel heat recovery device recovers heat.

[0029] Furthermore, in the digital twin intelligent control system of the present invention, the sensor network covers full-process monitoring; the digital twin platform simulates the operating status of the device in real time; the deep learning module predicts VOCs concentration fluctuations; the high-performance edge computing server runs the intelligent optimization algorithm; and the intelligent pneumatic valve system dynamically adjusts the adsorption tower switching.

[0030] Furthermore, in the present invention, the following steps are adopted for processing:

[0031] Step 1: Efficient pretreatment, using an electric bag composite dust collector, plasma pre-oxidation module, variable frequency condensing dehumidifier, and high-precision VOCs analyzer to treat the exhaust gas, remove particulate matter, decompose high-molecular VOCs, reduce humidity, and optimize exhaust gas conditions to improve subsequent adsorption efficiency;

[0032] Step 2: Four-stage adaptive adsorption: the exhaust gas passes through a four-stage adsorption tower, using an adaptive airflow controller, an intelligent pneumatic valve system, and a VOCs concentration sensor to optimize airflow speed and adsorption tower switching to maximize VOCs adsorption efficiency.

[0033] Step 3: Plasma-assisted regeneration: the saturated adsorption tower is regenerated using a partitioned microwave generator, a low-pressure plasma generator, a hot air circulation system, a multi-stage cold condensation recovery device, and an infrared spectrometer to optimize desorption efficiency and minimize zeolite loss.

[0034] Step 4: Multi-mode exhaust treatment: the desorbed exhaust is treated by a catalytic combustion furnace, a photocatalytic oxidation module, a cold condensation recovery device, and a multi-channel heat recovery device, dynamically switching modes to maximize VOCs removal rate and heat recovery efficiency;

[0035] Step 5: Deep intelligent control, through the digital twin platform, sensor network and high-performance edge computing server, based on deep learning and intelligent optimization algorithm, real-time control of full process parameters to optimize comprehensive performance; wherein, the step is coordinated and executed by the high-efficiency pretreatment unit, composite zeolite molecular sieve adsorption tower group, plasma-assisted microwave-hot air regeneration unit, multi-mode exhaust treatment unit and digital twin intelligent control system.

[0036] Furthermore, in the present invention, the efficient pretreatment in step 1 monitors the exhaust gas components through a high-precision VOCs analyzer, and the edge computing control module optimizes the plasma power and cold condensation temperature to improve the VOCs decomposition efficiency.

[0037] Furthermore, in the present invention, the four-stage adaptive adsorption in step 2 optimizes the airflow velocity and adsorption tower switching through an adaptive airflow controller, an intelligent pneumatic valve system, and a VOCs concentration sensor to improve the adsorption efficiency;

[0038] The plasma-assisted regeneration in step 3 is achieved through the coordinated operation of a partitioned microwave generator, a low-pressure plasma generator, a hot air circulation system, and an infrared spectrometer. The edge computing control module optimizes the microwave power, plasma power, and hot air temperature to improve the desorption efficiency and reduce the zeolite loss.

[0039] Furthermore, in the present invention, the multi-mode exhaust gas treatment in step 4 is achieved through the coordinated operation of a catalytic combustion furnace, a photocatalytic oxidation module, a cold condensation recovery device, and a multi-channel heat recovery device. A high-precision VOCs analyzer verifies the removal rate, and an edge computing control module optimizes the combustion temperature, photocatalytic power, and cold condensation temperature to improve the VOCs removal rate.

[0040] The deep intelligent control in step 5 operates collaboratively through the digital twin platform, sensor network and high-performance edge computing server to run intelligent optimization algorithms to improve system efficiency and operating cost-effectiveness.

[0041] Beneficial effects: The technical solution of this application has the following technical effects:

[0042] The present invention provides an organic waste gas treatment device based on zeolite molecular sieve adsorption and desorption treatment, which significantly improves the VOCs removal efficiency and system operation stability through the synergistic effect of a high-efficiency pretreatment unit, a composite zeolite molecular sieve adsorption tower group, a plasma-assisted microwave-hot air regeneration unit, a multi-mode tail gas treatment unit and a digital twin intelligent control system. The high-efficiency pretreatment unit effectively removes particulate matter, decomposes high-molecular VOCs and reduces the humidity of the waste gas through an electric bag composite dust collector, a plasma pre-oxidation module and a variable frequency condensation dehumidifier, creating optimized waste gas conditions for subsequent adsorption. The four-stage adsorption tower group adopts a composite zeolite molecular sieve for different VOCs characteristics, combined with an adaptive airflow controller and an intelligent pneumatic valve system to dynamically optimize the airflow distribution and adsorption tower switching, greatly improving the adsorption efficiency. It is particularly suitable for the differentiated treatment of aromatic, chlorine-containing, nitrogen-containing and large molecular VOCs.

[0043] The plasma-assisted microwave-hot air regeneration unit of the present invention realizes accurate and efficient zeolite regeneration through the coordinated operation of a partitioned microwave generator, a low-pressure plasma generator and a hot air circulation system, significantly reducing the zeolite carbon loss rate and energy consumption. The application of infrared spectrometers and multi-stage condensation recovery devices further improves the monitoring of desorption tail gas components and the efficiency of VOCs recovery. The multi-mode tail gas treatment unit adapts to the treatment requirements of VOCs waste gas of different concentrations and types through dynamic switching of catalytic combustion furnaces, photocatalytic oxidation modules and multi-channel heat recovery devices, maximizes the removal rate and recovers heat energy, and reduces operating costs. In addition, the digital twin intelligent control system uses sensor networks, deep learning modules and high-performance edge computing servers to predict VOCs concentration fluctuations in real time and optimize operating parameters, significantly improving the intelligence level and comprehensive performance of the system.

[0044] This invention also enhances the device's compatibility and functional expansion capabilities through a modular expansion interface design, adapting to the needs of diverse industrial scenarios. Compared to traditional technologies, this invention offers significant advantages in VOC removal rates, zeolite regeneration efficiency, energy consumption control, and operating costs. Furthermore, through deeply intelligent control and multi-mode processing, it meets the demand for efficient, stable, and low-cost VOC treatment under complex operating conditions, providing an innovative solution for industrial waste gas treatment.

[0045] It should be appreciated that all combinations of the foregoing concepts, as well as additional concepts described in greater detail below, to the extent such concepts are not mutually inconsistent, can be considered to be part of the inventive subject matter of this disclosure.

[0046] The foregoing and other aspects, embodiments, and features of the present invention will be more fully understood from the following description in conjunction with the accompanying drawings. Other additional aspects of the present invention, such as features and / or beneficial effects of the exemplary embodiments, will become apparent from the following description or through practice of specific embodiments according to the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The accompanying drawings are not intended to be drawn to scale. In the drawings, each identical or nearly identical component shown in various figures may be represented by the same reference numeral. For the sake of clarity, not every component is labeled in every figure. Embodiments of various aspects of the present invention will now be described by way of example and with reference to the accompanying drawings, in which:

[0048] Figure 1 Schematic diagram of the steps of the present invention.

[0049] Figure 2 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0050] In order to better understand the technical content of the present invention, specific embodiments are given and described as follows in conjunction with the accompanying drawings. Various aspects of the present invention are described in this disclosure with reference to the accompanying drawings, in which many illustrative embodiments are shown. The embodiments of the present disclosure are not necessarily defined to include all aspects of the present invention. It should be understood that the various concepts and embodiments introduced above, as well as those described in more detail below, can be implemented in any of many ways, because the concepts and embodiments disclosed in the present invention are not limited to any implementation method. In addition, some aspects disclosed in the present invention can be used alone or in any appropriate combination with other aspects disclosed in the present invention.

[0051] This embodiment provides an organic waste gas treatment device based on zeolite molecular sieve adsorption and desorption treatment. Its overall connection framework and position layout are as follows. The device adopts a modular design. Each hardware module is connected through standardized stainless steel pipes, pneumatic valves, wires and cables, and modular interfaces to form an integrated treatment system. The modules are arranged in the order of the waste gas treatment process, and the spatial position layout is as follows:

[0052] High-efficiency pretreatment unit: located at the entrance of the device, close to the exhaust gas input pipe, covering an area of ​​approximately 2m×2m×3m.

[0053] Composite zeolite molecular sieve adsorption tower group: located downstream of the pretreatment unit, arranged along the X-axis, the four-stage adsorption towers T1-T4 are linearly distributed, each tower has a diameter of 1.5m, a height of 3m, and a spacing of 1m.

[0054] Plasma-assisted microwave-hot air regeneration unit: arranged in parallel with the adsorption tower group, located on the side of the adsorption tower group, and connected to each adsorption tower through pipes and valves.

[0055] Multi-mode exhaust gas treatment unit: located downstream of the adsorption tower group and the regeneration unit, extending along the X-axis, and covering an area of ​​approximately 3m×2m×3m.

[0056] Digital twin intelligent control system: distributed throughout the device, sensor networks are embedded in each module, and the digital twin platform and high-performance edge computing servers are concentrated in the control room, covering an area of ​​1m×1m×2m.

[0057] Modular expansion interface: distributed at key nodes of the device casing, connected by flanges, with dispersed coordinates.

[0058] The gas circuit connection is as follows: the exhaust gas flows through the pretreatment unit, adsorption tower group, regeneration unit and tail gas treatment unit in sequence through a stainless steel pipe, and the pipe is equipped with a pneumatic valve to control the flow direction.

[0059] The circuit connection is as follows: the sensors and actuators are connected to the edge computing server through the RS485 bus and 4-20mA signal line, and the power supply uses 380V three-phase electricity.

[0060] The data flow is as follows: the sensor network collects data such as VOCs concentration, temperature, pressure, and flow, and transmits it to the digital twin platform via Ethernet. The edge computing server runs the PSO-GA algorithm and outputs control signals to the actuator.

[0061] The connection, position relationship and function implementation of each hardware module are as follows:

[0062] The high-efficiency pretreatment unit includes an electric bag composite dust collector, a plasma pre-oxidation module, a variable frequency condensing dehumidifier, and a high-precision VOCs analyzer.

[0063] The electric bag composite dust collector is located at the unit entrance and directly connected to the exhaust gas input pipe.

[0064] The plasma pre-oxidation module is located immediately downstream of the dust collector and is connected via a DN100 pipe.

[0065] The variable frequency condensing dehumidifier is located downstream of the pre-oxidation module and is connected by pipes.

[0066] High-precision VOCs analyzer: The probe is embedded in the outlet pipe of the pretreatment unit, and the data cable is connected to the control room.

[0067] Gas connection method: Exhaust gas enters the electric bag composite dust collector from the input pipe, flows through the plasma pre-oxidation module and the variable frequency condensing dehumidifier in sequence, and the outlet pipe is connected to the adsorption tower group. Flow meters and pressure sensors are installed in the pipe.

[0068] Circuit connection method: The dust collector, pre-oxidation module, and dehumidifier are connected to the power distribution cabinet via cables, and the VOCs analyzer is connected to the edge computing server via the RS485 bus.

[0069] The electrostatic filter combines electrostatic adsorption with bag filtration to remove particles larger than 2.5μm with an efficiency of >99.5%, preventing particles from clogging the zeolite pores. The electrostatic module captures fine particles, while the bag filters larger particles, and the dust is regularly vibrated for cleaning.

[0070] The plasma pre-oxidation module's pulsed plasma generates high-energy electrons and active species, breaking down high-molecular-weight VOCs into small molecules with a decomposition rate of 22%. The PSO algorithm optimizes power and reduces energy consumption.

[0071] The variable frequency condensing dehumidifier adopts two-stage condensation to reduce the humidity to <25% RH through the variable frequency refrigeration system, preventing water molecules from competing for zeolite adsorption sites and extending the adsorption cycle.

[0072] The high-precision VOCs analyzer monitors the exhaust gas components and concentrations in real time, providing data for the PSO algorithm to optimize pretreatment parameters.

[0073] The dust collector removes particulate matter, the pre-oxidation module decomposes VOCs, the dehumidifier reduces humidity, and the analyzer provides feedback, all working together to optimize exhaust gas conditions and improve subsequent adsorption efficiency.

[0074] The composite zeolite molecular sieve adsorption tower group includes four-stage adsorption towers T1-T4, an airflow distribution optimization device, an adaptive airflow controller, a VOCs concentration sensor, and an intelligent pneumatic valve system.

[0075] The four-stage adsorption towers (T1-T4) are arranged linearly along the X-axis, with each tower having a diameter of 1.5m and a height of 3m.

[0076] The air flow distribution optimization device is installed at the bottom inlet of each tower, including a porous guide plate and a vortex generator.

[0077] The adaptive airflow controller is installed at the tower group inlet duct and adjusts the airflow through the variable frequency fan.

[0078] VOCs concentration sensor probes are embedded in the inlet and outlet pipes of each tower.

[0079] Intelligent pneumatic valve system: installed in the inlet and outlet pipes of each tower to control airflow switching.

[0080] Gas connection method: The outlet pipe of the pretreatment unit is connected to the inlet of T1-T4 through a splitter. Pneumatic valves control the on and off of each tower. The tower outlet is combined with the main pipeline and connected to the exhaust gas treatment unit or regeneration unit.

[0081] Circuit connection method: The airflow controller, sensors and valves are connected to the edge computing server via the RS485 bus, and the pressure and temperature sensors in the tower provide auxiliary data.

[0082] The four-stage adsorption tower T1 is loaded with TiO2-CuO zeolite, with an adsorption capacity of >320 mg / g for aromatic and sulfur-containing VOCs.

[0083] The four-stage adsorption tower T2 is doped with Fe2O3-MnO2 zeolite, and has an adsorption capacity of >250mg / g for chlorine- and nitrogen-containing VOCs.

[0084] Four-stage adsorption tower T3 doped with ZSM-5 zeolite molecular sieve: for large molecular VOCs, the adsorption capacity is >200mg / g.

[0085] The four-stage adsorption tower T4 has high specific surface area zeolite to capture residual VOCs.

[0086] Each tower is filled with zeolite molecular sieve, which captures VOCs through the synergistic capture of chemical adsorption and physical adsorption, with an adsorption efficiency of 99%.

[0087] The porous guide plate of the airflow distribution optimization device evenly distributes the airflow, and the vortex generator enhances turbulence, promoting the contact between VOCs and zeolite, and improving the zeolite utilization rate by 25%.

[0088] The adaptive airflow controller and variable frequency fan adjust the airflow speed, optimize the diffusion of VOCs molecules, and the GA algorithm dynamically adjusts the speed.

[0089] The VOCs concentration sensor monitors the inlet and outlet concentrations, calculates the adsorption efficiency, and triggers tower switching.

[0090] Intelligent pneumatic valve system: Dynamically switches adsorption towers according to saturation, with short response time and extended operation cycle.

[0091] The four-stage tower optimizes adsorption for different VOCs, the airflow controller and valve system are dynamically adjusted, sensors provide real-time feedback, and the digital twin platform predicts saturation time to achieve efficient VOCs capture.

[0092] The plasma-assisted microwave-hot air regeneration unit includes a partitioned microwave generator, a low-pressure plasma generator, a hot air circulation system, a multi-stage condensation recovery device, and an infrared spectrometer.

[0093] The regeneration unit is parallel to the adsorption tower group and arranged along the Y axis.

[0094] Partitioned microwave generators are embedded in the inner wall of each tower.

[0095] The low-pressure plasma generator is installed on the top of the tower, and the electrodes extend into the tower.

[0096] The hot air circulation system is located on the side of the regeneration unit and is connected to each tower through hot air ducts.

[0097] The multi-stage condenser recovery device is located at the outlet of the regeneration unit, and the three-stage condensers are connected in series.

[0098] The infrared spectrometer probe is embedded in the outlet pipe of the condensation recovery device.

[0099] Gas connection method: The saturated adsorption tower is switched to regeneration mode via a pneumatic valve. The desorbed gas enters the multi-stage condensation recovery device through a pipeline, and the exhaust gas enters the exhaust gas treatment unit. The hot air circulation system provides 100-150℃ hot air through the circulation pipeline.

[0100] Circuit connection method: The microwave generator, plasma generator, and hot air system are connected to the power distribution cabinet via cables, and the infrared spectrometer is connected to the edge computing server via RS485.

[0101] The three-layer emitter of the zoned microwave generator precisely heats the saturated area, releases VOCs through dielectric loss, and optimizes power to 1.5kW, reducing energy consumption.

[0102] The power of the low-pressure plasma generator is 0.2-0.5kW, which generates high-energy electrons to decompose stubborn VOCs, lower the regeneration temperature to 120℃, and reduce carbon loss.

[0103] The hot air circulation system provides 100-150℃ hot air to assist physical desorption, and the heat recovery device increases thermal efficiency by 85%.

[0104] The three-stage condensation of the multi-stage condensation recovery device recovers VOCs with different boiling points, with a recovery rate of >90%.

[0105] The infrared spectrometer monitors the desorbed tail gas components, evaluates the carbon loss rate, and provides feedback for the PSO algorithm.

[0106] Microwave and plasma synergistic heating decomposition, hot air assisted desorption, condensation recovery of VOCs, infrared spectrometer monitoring of carbon loss, PSO algorithm optimization parameters, to achieve efficient regeneration and low carbon loss.

[0107] The multi-mode exhaust gas treatment unit includes a catalytic combustion furnace, a photocatalytic oxidation module, a condensation recovery device, and a multi-channel heat recovery device.

[0108] The multi-mode tail gas treatment unit is located downstream of the device, wherein the catalytic combustion furnace is located at the unit inlet and connected to the regeneration unit outlet pipe.

[0109] The photocatalytic oxidation module is connected in parallel with the combustion furnace and switched by a valve.

[0110] The condensate recovery device is connected in parallel with the combustion furnace and the photocatalytic module, and the three-stage condenser is connected in series.

[0111] The multi-channel heat recovery device is embedded in the combustion furnace and the photocatalytic module outlet, and the heat pipe extends into the exhaust pipe.

[0112] Gas connection method: Desorbed exhaust gas enters the combustion furnace, photocatalytic module or condensation recovery device through a diverter valve. After treatment, the exhaust gas is discharged through the heat recovery device. The pipeline is equipped with a VOCs concentration sensor.

[0113] Circuit connection method: The combustion furnace, photocatalytic module, and condensation recovery device are connected to the power distribution cabinet via cables, and the heat recovery device temperature sensor is connected to the edge computing server via RS485.

[0114] The catalytic combustion furnace Pt / Pd / CeO2 catalyst oxidizes high-concentration VOCs with a removal rate of >99.8%.

[0115] The photocatalytic oxidation module UV light source and TiO2 coating generate OH, oxidizing low-concentration VOCs with a removal rate of >95%.

[0116] The condensation recovery device recovers recyclable VOCs through three-stage condensation, with a recovery rate of >90%.

[0117] The heat pipes of the multi-channel heat recovery device recover combustion and photocatalytic heat, with a heat recovery rate of >90%, reducing energy consumption.

[0118] The concentration sensor triggers mode switching, the combustion furnace and photocatalytic module process VOCs of different concentrations, the condensation recovery device recycles resources, the heat recovery device saves energy, and the GA algorithm optimizes parameters to achieve ultra-low emissions.

[0119] The digital twin intelligent control system includes sensor networks, digital twin platforms, deep learning modules, high-performance edge computing servers, and intelligent pneumatic valve systems.

[0120] The sensor network is distributed throughout the device, with a total of about 50 probes including VOCs concentration sensors, temperature sensors, pressure and flow sensors.

[0121] The digital twin platform is located in the control room, and the server is integrated with the display screen.

[0122] The deep learning module is embedded in the digital twin platform software and is based on the LSTM algorithm.

[0123] The high-performance edge computing server is located in the control room and is equipped with a GPU with a response time of <50ms.

[0124] The intelligent pneumatic valve system is distributed in the adsorption tower and pipeline, and is shared with the adsorption tower group and regeneration unit.

[0125] Circuit connection method: The sensor is connected to the edge computing server through the RS485 bus, the valve receives control instructions through the 4-20mA signal line, and the digital twin platform communicates with the server through Ethernet.

[0126] The sensor network collects VOCs concentration, temperature, pressure, and flow in real time, covering the entire process and providing formula calculation data.

[0127] The digital twin platform simulates device status, predicts adsorption tower saturation time, and visualizes operating parameters.

[0128] The deep learning module LSTM algorithm predicts VOCs concentration fluctuations and optimizes adsorption tower switching and regeneration parameters.

[0129] High-performance edge computing servers run the PSO-GA joint algorithm to optimize comprehensive performance indicators and dynamically adjust parameters.

[0130] The intelligent pneumatic valve system switches the adsorption tower according to the algorithm instructions and responds to the time period.

[0131] Sensors provide real-time data, the digital twin platform and LSTM predict fluctuations, the edge computing server optimizes parameters, and the valve system executes instructions to achieve dynamic regulation and improve system efficiency.

[0132] The modular expansion interface includes standardized gas and circuit interfaces, which are distributed on the device housing, such as the pre-treatment unit outlet and the exhaust gas treatment unit outlet, using flanges and junction boxes.

[0133] In the above-mentioned embodiment, the pretreatment unit optimizes exhaust gas conditions, the adsorption tower group efficiently captures the gas, and the tail gas treatment unit removes residual VOCs, achieving a removal rate of >99.8% and an emission concentration of <3 mg / m3. Plasma-assisted regeneration reduces the temperature, and infrared spectrometers monitor carbon loss, achieving a carbon loss rate of <1.5%, extending the zeolite life to 3 years. The digital twin system and PSO-GA algorithm implement real-time control, increasing response speed by 60% and reducing operating costs by 30%.

[0134] Pretreatment provides low-humidity, low-particulate matter exhaust gas for adsorption. The adsorption tower captures VOCs, and the regeneration unit recovers zeolite performance. Exhaust treatment ensures compliance with emission standards, and the control system optimizes the entire process. A sensor network and edge computing server form a closed-loop control loop. The digital twin platform predicts fluctuations, and the valve system executes the switching.

[0135] The modules are arranged along the exhaust flow path, occupying an approximate footprint of 20m x 5m x 3m, making them suitable for industrial plants. The adsorption tower and regeneration unit are located in parallel, facilitating maintenance. Centralized management in the control room ensures convenient operation. A decentralized interface layout supports modular upgrades.

[0136] Each hardware module is connected via standardized piping, pneumatic valves, an RS485 bus, and modular interfaces. The system is arranged linearly or in parallel according to the exhaust gas treatment process: pretreatment → adsorption → regeneration → exhaust gas treatment. The control system covers the entire process: pretreatment → adsorption → regeneration → exhaust gas treatment. The efficient pretreatment unit optimizes exhaust gas conditions, the adsorption tower efficiently captures VOCs, the regeneration unit regenerates zeolite with low loss, and the exhaust gas treatment unit dynamically treats exhaust gas. The digital twin system provides intelligent control, and expanded interfaces enhance flexibility.

[0137] This embodiment also provides a treatment method for an organic waste gas treatment device based on zeolite molecular sieve adsorption and desorption treatment, which is as follows:

[0138] Step 1: Efficient pretreatment: The exhaust gas passes through an electric bag composite dust collector to remove particles >2.5μm. The plasma pre-oxidation module decomposes high-molecular VOCs with a decomposition rate of 15%-20%. The variable frequency condensing dehumidifier reduces the humidity to <25% RH and the temperature is controlled at 15-35℃. The PSO algorithm is used to optimize the plasma power P e and condensation temperature T c , the goal is to maximize the VOCs decomposition rate and humidity control efficiency. Optimization formula:

[0139]

[0140] D r : VOCs decomposition rate, reflecting the pretreatment effect. e : Plasma power. T g : Exhaust gas temperature. H r : Exhaust gas humidity. H0: Initial humidity. k1: Decomposition coefficient. E d : Decomposition activation energy. R: Gas constant.

[0141] The formula quantifies the effects of plasma power and humidity on VOCs decomposition and optimizes pretreatment efficiency.

[0142] Specifically, the pulsed plasma generator decomposes high-molecular VOCs through high-energy electrons and active species, and precisely controls the plasma power P e Variable frequency condensing dehumidifier two-stage condensing system, equipped with variable frequency refrigeration controller, adjusts the exhaust gas temperature T g and exhaust gas humidity H r The high-precision VOCs analyzer monitors the exhaust gas components and concentrations in real time and provides exhaust gas temperature T g and exhaust gas humidity H r The edge computing control module runs the PSO algorithm to dynamically adjust the plasma power P e =2.5kW, exhaust gas temperature T g =5℃, ensure VOCs decomposition rate D r =22%.

[0143] High-precision VOCs analyzer provides real-time exhaust gas temperature T g and exhaust gas humidity H r , supporting formula VOCs decomposition rate D r The exponential term and humidity term calculation of the plasma power are used to optimize the plasma power. The variable frequency condensing dehumidifier can accurately calculate the exhaust gas temperature T g And control to reduce the exhaust gas humidity H r , enhance the plasma decomposition efficiency and reduce pore clogging. The PSO algorithm works in conjunction with the edge computing module to iteratively optimize the plasma power P e and exhaust gas temperature T g , increase the decomposition rate by 10% and save energy by 20%.

[0144] Step 2: Four-stage adsorption tower adsorption operation, the exhaust gas passes through the four-stage adsorption tower T1-T4 in sequence, T1 captures aromatic / sulfur-containing VOCs, T2 captures chlorine-containing / nitrogen-containing VOCs, T3 captures macromolecular VOCs, and T4 captures residual VOCs. The porous guide plate and vortex generator of the airflow distribution optimization device adjust the airflow, and the sensor in the tower monitors the VOC concentration. The digital twin system dynamically switches the adsorption tower according to the saturation. The GA algorithm is used to optimize the airflow velocity V g and the switching threshold S t , the goal is to maximize adsorption efficiency. Optimization formula:

[0145]

[0146] A e : Adsorption efficiency. V g : Air flow velocity. C v : VOCs concentration. S a : Saturation of adsorption tower. S t : Switching threshold. k2: Adsorption coefficient. β: Concentration influence coefficient.

[0147] The formula quantifies the effects of airflow velocity and switching threshold on adsorption efficiency and optimizes VOCs capture.

[0148] Specifically, the four-stage adsorption towers T1-T4 are filled with composite zeolite molecular sieves and equipped with VOCs concentration sensors to monitor the VOCs concentration C v and adsorption tower saturation S a The adaptive air flow controller adjusts the air flow velocity V g =1.2m / s, ensuring uniform airflow distribution. Intelligent pneumatic valve system dynamically switches adsorption towers, with a response time of <0.1 seconds and optimized switching threshold S t =80%. The digital twin platform simulates the adsorption tower status in real time and predicts saturation. The edge computing control module runs the GA algorithm to optimize the airflow velocity V g and the switching threshold St , to ensure adsorption efficiency A e =99%.

[0149] Adaptive air flow controller through precise air flow speed V g Achieve the adsorption efficiency of formula A e The linear term enhances the contact probability between VOCs molecules and zeolite. The intelligent pneumatic valve system is based on the adsorption tower saturation S a Dynamic switching reduces ineffective adsorption and extends the operating cycle by 20%. GA algorithm works in conjunction with the digital twin platform to detect VOCs based on real-time concentration C v By optimizing the parameters, the adsorption efficiency is increased by 3%-4%.

[0150] Step 3: Plasma-assisted regeneration: The saturated adsorption tower switches to regeneration mode, and the partitioned microwave generator, low-pressure plasma generator, and hot air system collaborate to desorb. A multi-stage condensation recovery device recovers VOCs. An infrared spectrometer monitors the desorbed gas composition. The PSO algorithm is used to optimize the microwave power P. m , plasma power P p and hot air temperature T h , the goal is to maximize desorption efficiency and minimize carbon loss. Optimization formula:

[0151]

[0152] R e : Desorption efficiency. P m : Microwave power. P p : Plasma power. T h : Hot air temperature. L c : Carbon loss rate. L0: Initial carbon loss rate. k3: Desorption coefficient. E r : desorption activation energy. R: gas constant. Formulas quantify the effects of microwaves, plasma, and hot air on desorption efficiency and carbon loss, optimizing regeneration performance.

[0153] Specifically, the three-layer transmitter of the partitioned microwave generator accurately controls the microwave power P m =1.5kW. Low-pressure plasma generator power 0.2-0.5kW, control plasma power P p =0.4kW, decomposes stubborn VOCs. The hot air circulation system is equipped with a heat recovery device to control the hot air temperature T h =120℃. Infrared spectrometer monitors the desorption gas components and evaluates the carbon loss rate L c The multi-stage condensation recovery device recovers VOCs. The edge computing control module runs the PSO algorithm to optimize the microwave power P m , plasma power P p , hot air temperature T h , to ensure the desorption efficiency R e=99.5%, carbon loss rate L c =1.5%.

[0154] Infrared spectrometer provides real-time carbon loss rate L c Data supporting the formula desorption efficiency R e The carbon loss term is calculated and the regeneration parameters are optimized. The partitioned microwave generator and the low-pressure plasma generator work together to achieve the desorption efficiency R e The power and exponential terms are optimized, reducing regeneration temperature and minimizing pore collapse. The PSO algorithm works in conjunction with the edge computing module to dynamically adjust parameters, increasing desorption efficiency by 1.5% and reducing carbon loss by 25%.

[0155] Step 4: Multi-mode tail gas treatment operation. The desorbed tail gas treatment mode is dynamically selected based on the concentration. High-concentration VOCs are treated with a catalytic combustion furnace. Low-concentration VOCs are treated with a photocatalytic oxidation module. Recoverable VOCs are treated with a condensation recovery unit. Heat is recovered by a heat exchanger. A GA algorithm is used to optimize the catalytic combustion temperature T. b , photocatalytic power P l and condensation temperature T d , the goal is to maximize VOCs removal rate and heat recovery efficiency. Optimization formula:

[0156]

[0157] T r : VOCs removal rate. T b : Catalytic combustion temperature. P l : Photocatalytic power. T d : Condensation temperature. r : Heat recovery rate. k4: Removal coefficient. E t : Activation energy for removal. R: Gas constant. This formula quantifies the impact of tail gas treatment parameters on removal efficiency and heat recovery, optimizing treatment efficiency.

[0158] Specifically, the catalytic combustion furnace uses Pt / Pd / CeO2 catalyst to control the catalytic combustion temperature T b = 200℃. The photocatalytic oxidation module is equipped with UV light source and TiO2 coating to control the photocatalytic power P l =300W. Condensation recovery device controls the condensation temperature T d =-5℃. Multi-channel heat recovery device recovers catalytic combustion heat to ensure heat recovery rate H r =90%. High-precision VOCs analyzer monitors exhaust gas concentration and verifies VOCs removal rate T r The edge computing control module runs the GA algorithm to optimize the catalytic combustion temperature T b , photocatalytic power P l , condensation temperature T d , ensuring VOCs removal rate Tr =99.8%.

[0159] Multi-channel heat recovery device with precise heat recovery rate H r Achieve the formula VOCs removal rate T r The heat recovery item reduces energy consumption by 30%. The catalytic combustion furnace and photocatalytic module dynamically switch according to the VOCs concentration, optimizing the formula VOCs removal rate T r The temperature and power items increased by 0.8%. The GA algorithm works with the high-precision VOCs analyzer to optimize parameters in real time to ensure that the emission concentration is less than 3mg / m 3 .

[0160] Step 5: Deep intelligent control: The digital twin platform simulates the device status in real time, and the LSTM algorithm predicts VOC concentration fluctuations. The edge computing control module runs the PSO-GA combined algorithm to optimize the overall process parameters. The sensor network provides real-time data. The PSO-GA combined algorithm is used to optimize the comprehensive performance indicator F, integrating adsorption efficiency, desorption efficiency, removal rate, and energy consumption. Optimization formula:

[0161]

[0162] F: Comprehensive performance index. e , A e0 are the optimized and initial adsorption efficiencies, respectively. e , R e0 are the optimized and initial desorption efficiencies, respectively. r , T r0 are the optimized and initial VOCs removal rates respectively. c , E c0 are the optimized and initial energy consumption respectively. w1, w2, w3, w4, are weight coefficients. The formula comprehensively evaluates adsorption, regeneration, tail gas treatment and energy consumption to guide the global optimization.

[0163] Specifically, the digital twin platform simulates the device status in real time and predicts VOCs fluctuations with an accuracy rate of >95%. The sensor network includes VOCs concentration, temperature, pressure, and flow sensors, providing optimized adsorption efficiency A e , optimized desorption efficiency R e , VOCs removal rate after optimization T r , energy consumption after optimization E c A high-performance edge computing server runs a PSO-GA joint algorithm to process multi-sensor data and optimize the comprehensive performance index F. An intelligent pneumatic valve system dynamically adjusts the switching of adsorption towers to support adsorption efficiency optimization.

[0164] The sensor network provides real-time data, supporting multiple calculations of the comprehensive performance indicator F, optimizing global performance. A high-performance edge computing server uses the PSO-GA algorithm to iteratively optimize parameters, achieving a 90% improvement in F. The digital twin platform collaborates with the intelligent pneumatic valve system to dynamically control adsorption and regeneration, improving system efficiency by 35%.

[0165] This embodiment integrates a high-precision VOCs analyzer, an adaptive airflow controller, an infrared spectrometer, a multi-channel heat recovery unit, a high-performance edge computing server, and an intelligent pneumatic valve system. The optimized treatment method achieves precise execution of the formula, significantly improving VOCs removal rates while reducing carbon loss and energy consumption. The synergistic effect of hardware and formula addresses issues such as limited adsorption efficiency, high regeneration energy consumption, and insufficient tail gas treatment flexibility, resulting in the unexpected effects of ultra-low emissions, extremely low carbon loss, and dynamic adaptability, promising promising industrial applications.

[0166] While the present invention has been disclosed above with reference to preferred embodiments, this is not intended to limit the present invention. Persons skilled in the art will readily appreciate that various modifications and variations can be made without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention shall be determined by the claims.

Claims

1. An organic waste gas treatment device based on zeolite molecular sieve adsorption and desorption treatment, characterized in that: Includes the following modules: High-efficiency pretreatment unit, including electric bag composite dust collector, plasma pre-oxidation module, variable frequency condensing dehumidifier and high-precision VOCs analyzer, is used to remove particulate matter, decompose high-molecular VOCs, reduce humidity and monitor exhaust gas composition in real time; The composite zeolite molecular sieve adsorption tower group includes four-stage adsorption towers, each tower is filled with different composite zeolite molecular sieves, and the tower body is equipped with an airflow distribution optimization device, an adaptive airflow controller, a VOCs concentration sensor and an intelligent pneumatic valve system; Plasma-assisted microwave-hot air regeneration unit, including a partitioned microwave generator, a low-pressure plasma generator, a hot air circulation system, a multi-stage condensation recovery device and an infrared spectrometer, is used for high-efficiency, low-loss zeolite regeneration and monitoring of tail gas components; Multi-mode exhaust treatment unit, including catalytic combustion furnace, photocatalytic oxidation module, condensation recovery device and multi-channel heat recovery device, dynamically switches treatment modes to adapt to different VOCs characteristics; A digital twin intelligent control system, including a sensor network, a digital twin platform, a deep learning module, a high-performance edge computing server, and an intelligent pneumatic valve system, predicts VOC concentration fluctuations and optimizes operating parameters based on deep learning and intelligent optimization algorithms; Modular expansion interface, including standardized gas and circuit interfaces, supports functional expansion and external system compatibility; Among them, the device collaboratively controls various modules through a digital twin intelligent control system to remove multiple VOCs in exhaust gas, reduce emission concentration, and reduce zeolite carbon loss rate.

2. The organic waste gas treatment device based on zeolite molecular sieve adsorption and desorption treatment according to claim 1 is characterized in that: In the efficient pre-processing unit: Electric bag composite dust collector, which combines electrostatic dust removal and bag filtration to remove particulate matter; Plasma pre-oxidation module, using a pulsed plasma generator to decompose high-molecular VOCs; Variable frequency condensing dehumidifier, reducing exhaust gas humidity through two-stage condensation; High-precision VOCs analyzer, real-time monitoring of exhaust gas components and concentrations.

3. The organic waste gas treatment device based on zeolite molecular sieve adsorption and desorption treatment according to claim 2 is characterized in that: In the four-stage adsorption tower of the composite zeolite molecular sieve adsorption tower group: The first tower is filled with zeolite molecular sieves loaded with TiO2 and CuO, targeting aromatic and sulfur-containing VOCs; The second tower is filled with zeolite molecular sieves doped with Fe2O3 and MnO2, targeting chlorine- and nitrogen-containing VOCs; The third tower is filled with ZSM-5 doped zeolite molecular sieve, targeting large molecular VOCs; The fourth tower is filled with high surface area zeolite molecular sieve to capture residual VOCs; Adaptive air flow controller to adjust air flow speed; Intelligent pneumatic valve system, dynamic switching of adsorption towers; An airflow distribution optimization device, including a porous guide plate and a vortex generator; VOCs concentration sensor, real-time monitoring of VOCs concentration.

4. The organic waste gas treatment device based on zeolite molecular sieve adsorption and desorption treatment according to claim 3 is characterized in that: In the plasma-assisted microwave-hot air regeneration unit, zoned microwave generators are arranged in layers to precisely heat the saturated area; a low-pressure plasma generator decomposes stubborn VOC residues; a hot air circulation system is equipped with a heat recovery device; a multi-stage cold condensation recovery device recovers VOCs in stages; and an infrared spectrometer monitors the desorbed tail gas components.

5. The organic waste gas treatment device based on zeolite molecular sieve adsorption and desorption treatment according to claim 4 is characterized in that: In the multi-mode exhaust gas treatment unit, the catalytic combustion furnace uses a composite catalyst to treat high-concentration VOCs; the photocatalytic oxidation module is equipped with a light source and a catalytic coating to treat low-concentration VOCs; the cold condensation recovery device recovers VOCs of different boiling points in stages; and the multi-channel heat recovery device recovers heat.

6. The organic waste gas treatment device based on zeolite molecular sieve adsorption and desorption treatment according to claim 5 is characterized in that: In the digital twin intelligent control system, the sensor network covers full-process monitoring; the digital twin platform simulates the operating status of the device in real time; the deep learning module predicts VOCs concentration fluctuations; the high-performance edge computing server runs the intelligent optimization algorithm; and the intelligent pneumatic valve system dynamically adjusts the adsorption tower switching.

7. The organic waste gas treatment device based on zeolite molecular sieve adsorption and desorption treatment according to claim 6, characterized in that: Use the following steps to process: Step 1: Efficient pretreatment, using an electric bag composite dust collector, plasma pre-oxidation module, variable frequency condensing dehumidifier, and high-precision VOCs analyzer to treat the exhaust gas, remove particulate matter, decompose high-molecular VOCs, reduce humidity, and optimize exhaust gas conditions to improve subsequent adsorption efficiency; Step 2: Four-stage adaptive adsorption: the exhaust gas passes through a four-stage adsorption tower, using an adaptive airflow controller, an intelligent pneumatic valve system, and a VOCs concentration sensor to optimize airflow speed and adsorption tower switching to maximize VOCs adsorption efficiency. Step 3: Plasma-assisted regeneration: the saturated adsorption tower is regenerated using a partitioned microwave generator, a low-pressure plasma generator, a hot air circulation system, a multi-stage cold condensation recovery device, and an infrared spectrometer to optimize desorption efficiency and minimize zeolite loss. Step 4: Multi-mode exhaust treatment: the desorbed exhaust is treated by a catalytic combustion furnace, a photocatalytic oxidation module, a cold condensation recovery device, and a multi-channel heat recovery device, dynamically switching modes to maximize VOCs removal rate and heat recovery efficiency; Step 5: Deep intelligent control, through the digital twin platform, sensor network and high-performance edge computing server, based on deep learning and intelligent optimization algorithm, real-time control of full process parameters to optimize comprehensive performance; wherein, the step is coordinated and executed by the high-efficiency pretreatment unit, composite zeolite molecular sieve adsorption tower group, plasma-assisted microwave-hot air regeneration unit, multi-mode exhaust treatment unit and digital twin intelligent control system.

8. The method according to claim 7, characterized in that The efficient pretreatment in step 1 monitors the exhaust gas components through a high-precision VOCs analyzer, and the edge computing control module optimizes the plasma power and cold condensation temperature to improve the VOCs decomposition efficiency.

9. The organic waste gas treatment device based on zeolite molecular sieve adsorption and desorption treatment according to claim 7, characterized in that: The four-stage adaptive adsorption in step 2 optimizes the airflow velocity and adsorption tower switching through an adaptive airflow controller, an intelligent pneumatic valve system, and a VOCs concentration sensor to improve adsorption efficiency; The plasma-assisted regeneration in step 3 is achieved through the coordinated operation of a partitioned microwave generator, a low-pressure plasma generator, a hot air circulation system, and an infrared spectrometer. The edge computing control module optimizes the microwave power, plasma power, and hot air temperature to improve the desorption efficiency and reduce the zeolite loss.

10. The organic waste gas treatment device based on zeolite molecular sieve adsorption and desorption treatment according to claim 7, characterized in that: The multi-mode exhaust treatment in step 4 is achieved through the coordinated operation of a catalytic combustion furnace, a photocatalytic oxidation module, a cold condensation recovery device, and a multi-channel heat recovery device. A high-precision VOCs analyzer verifies the removal rate, and an edge computing control module optimizes the combustion temperature, photocatalytic power, and cold condensation temperature to improve the VOCs removal rate. The deep intelligent control in step 5 operates collaboratively through the digital twin platform, sensor network and high-performance edge computing server to run intelligent optimization algorithms to improve system efficiency and operating cost-effectiveness.

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