An organic waste gas treatment device based on zeolite molecular sieve adsorption and desorption treatment

Abstract

The application provides an organic waste gas treatment device based on zeolite molecular sieve adsorption and desorption treatment, which 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. Through integration of a high-precision VOCs analyzer, a self-adaptive airflow controller, an infrared spectrometer, a multi-channel heat recovery device, a high-performance edge computing server and an intelligent pneumatic valve system, the optimized treatment method realizes accurate execution of the formula, significantly improves the VOCs removal rate, reduces carbon loss and energy consumption. The application has significant advantages in VOCs removal rate, zeolite regeneration efficiency, energy consumption control and operating cost, and through deep intelligent regulation and control and multi-mode treatment, meets the requirements of efficient, stable and low-cost VOCs treatment under complex working conditions, and provides an innovative solution for industrial waste gas treatment.

Description

Technical Field

[0001] This invention relates to the field of waste gas treatment technology, specifically to an organic waste gas treatment device based on zeolite molecular sieve adsorption-desorption treatment. Background Technology

[0002] With rapid industrialization, volatile organic compound (VOC) emissions have 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. For example, single adsorption materials are insufficient for efficiently capturing VOCs with different chemical properties (such as aromatic, chlorine-containing, nitrogen-containing, and large molecular weight VOCs), resulting in low adsorption efficiency and difficulties in material regeneration. Furthermore, traditional treatment devices lack real-time monitoring and dynamic control capabilities for waste gas components and concentrations, making them unable to adapt to complex operating conditions with fluctuating VOC concentrations. This easily leads to high energy consumption, significant zeolite loss, and non-compliance with exhaust emission standards. These problems limit the treatment efficiency and economic viability of existing technologies, making it difficult to meet increasingly stringent environmental protection requirements.

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

[0004] The purpose of this invention is to provide a comprehensive solution that integrates efficient pretreatment, multi-stage differentiated adsorption, intelligent regeneration, multi-mode exhaust gas treatment, and deep intelligent regulation, in order to improve VOCs removal efficiency, reduce operating costs, and enable 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-desorption treatment, comprising the following modules:

[0006] The high-efficiency pretreatment unit includes an electrostatic precipitator / bag filter, a plasma pre-oxidation module, a variable frequency condenser / dehumidifier, and a high-precision VOCs analyzer, which are used to remove particulate matter, decompose high molecular weight VOCs, reduce humidity, and monitor the composition of exhaust gas in real time.

[0007] The composite zeolite molecular sieve adsorption tower group includes four adsorption towers, each filled with different composite zeolite molecular sieves. 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] The plasma-assisted microwave-hot air regeneration unit includes a zoned microwave generator, a low-pressure plasma generator, a hot air circulation system, a multi-stage condenser and a infrared spectrometer, which are used for efficient, low-loss zeolite regeneration and monitoring of exhaust gas components.

[0009] The multi-mode exhaust gas treatment unit includes a catalytic combustion furnace, a photocatalytic oxidation module, a condenser and a multi-channel heat recovery unit, which dynamically switches treatment modes to adapt to different VOCs characteristics.

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

[0011] Modular expansion interfaces, including standardized pneumatic and electrical interfaces, support functional expansion and compatibility with external systems;

[0012] The device uses a digital twin intelligent control system to coordinate the control of various modules, thereby removing multiple VOCs from the exhaust gas, reducing emission concentration, and reducing zeolite carbon loss rate.

[0013] Furthermore, in this invention, the efficient preprocessing unit includes:

[0014] The electrostatic precipitator-bag filter combines electrostatic dust removal and bag filtration to remove particulate matter.

[0015] The plasma pre-oxidation module uses a pulsed plasma generator to decompose high molecular VOCs;

[0016] Variable frequency condensing dehumidifier reduces the humidity of exhaust gas through two-stage condensation;

[0017] A high-precision VOCs analyzer monitors the composition and concentration of exhaust gas in real time.

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

[0019] The first column 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 sieves, which are designed for large molecular VOCs.

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

[0023] Adaptive airflow controller to adjust airflow speed;

[0024] Intelligent pneumatic valve system for dynamic switching of adsorption tower;

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

[0026] VOCs concentration sensor to monitor VOCs concentration in real time.

[0027] Furthermore, in this invention, the plasma-assisted microwave-hot air regeneration unit comprises: a zoned microwave generator arranged in layers to precisely heat the saturated region; a low-pressure plasma generator to decompose stubborn VOC residues; a hot air circulation system equipped with a heat recovery device; a multi-stage cold condensation recovery unit to recover VOCs in stages; and an infrared spectrometer to monitor the components of the desorbed exhaust gas.

[0028] Furthermore, in this invention, the multi-mode exhaust gas treatment unit employs a composite catalyst in the catalytic combustion furnace 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 unit staged the recovery of VOCs with different boiling points; and the multi-channel heat recovery unit recovers heat.

[0029] Furthermore, in the present invention, the digital twin intelligent control system includes a sensor network covering the entire process monitoring; a digital twin platform simulating the device's operating status in real time; a deep learning module predicting VOCs concentration fluctuations; a high-performance edge computing server running intelligent optimization algorithms; and an intelligent pneumatic valve system dynamically adjusting the switching of the adsorption tower.

[0030] Furthermore, in this invention, the following steps are employed for processing:

[0031] Step 1: High-efficiency pretreatment. The exhaust gas is treated by an electrostatic precipitator-bag filter, a plasma pre-oxidation module, a variable frequency condenser dehumidifier, and a high-precision VOCs analyzer to remove particulate matter, decompose high molecular weight 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. An adaptive airflow controller, an intelligent pneumatic valve system, and a VOCs concentration sensor are used to optimize the airflow speed and adsorption tower switching to maximize VOCs adsorption efficiency.

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

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

[0035] Step 5: Deep intelligent control. Through a digital twin platform, sensor network, and high-performance edge computing server, the parameters of the entire process are controlled in real time based on deep learning and intelligent optimization algorithms to optimize the overall performance. This step is executed collaboratively by a high-efficiency pretreatment unit, a composite zeolite molecular sieve adsorption tower group, a plasma-assisted microwave-hot air regeneration unit, a multi-mode exhaust gas treatment unit, and a digital twin intelligent control system.

[0036] Furthermore, in this invention, the efficient pretreatment in step 1 involves monitoring the waste gas components using a high-precision VOCs analyzer, and optimizing the plasma power and cold condensation temperature using an edge computing control module to improve VOCs decomposition efficiency.

[0037] Furthermore, in this invention, the four-stage adaptive adsorption in step 2 optimizes the airflow speed and adsorption tower switching through an adaptive airflow controller, an intelligent pneumatic valve system, and a VOCs concentration sensor, thereby improving adsorption efficiency.

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

[0039] Furthermore, in this invention, the multi-mode exhaust gas treatment in step 4 involves the coordinated operation of a catalytic combustion furnace, a photocatalytic oxidation module, a cold condensation recovery unit, and a multi-channel heat recovery unit. 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 regulation in step 5 involves the collaborative operation of a digital twin platform, sensor network, and high-performance edge computing server to run intelligent optimization algorithms, thereby improving system efficiency and operating cost-effectiveness.

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

[0042] This invention provides an organic waste gas treatment device based on zeolite molecular sieve adsorption-desorption. 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 device significantly improves VOCs removal efficiency and system operational stability. The high-efficiency pretreatment unit effectively removes particulate matter, decomposes high-molecular-weight VOCs, and reduces waste gas humidity through an electrostatic precipitator / bag filter, a plasma pre-oxidation module, and a variable-frequency condenser / dehumidifier, creating optimized waste gas conditions for subsequent adsorption. The four-stage adsorption tower group uses composite zeolite molecular sieves tailored to different VOCs characteristics, combined with an adaptive airflow controller and an intelligent pneumatic valve system, dynamically optimizing airflow distribution and adsorption tower switching, significantly improving adsorption efficiency. It is particularly suitable for the differentiated treatment of aromatic, chlorine-containing, nitrogen-containing, and large-molecular-weight VOCs.

[0043] The plasma-assisted microwave-hot air regeneration unit of this invention achieves precise and efficient zeolite regeneration through the coordinated operation of a zoned microwave generator, a low-pressure plasma generator, and a hot air circulation system, significantly reducing zeolite carbon loss and energy consumption. The application of an infrared spectrometer and a multi-stage condenser further improves the efficiency of desorption tail gas component monitoring and VOCs recovery. The multi-mode tail gas treatment unit adapts to the treatment needs of different concentrations and types of VOCs waste gas through dynamic switching of a catalytic combustion furnace, a photocatalytic oxidation module, and a multi-channel heat recovery unit, maximizing removal rates and recovering heat energy while reducing operating costs. Furthermore, the digital twin intelligent control system, through a sensor network, a deep learning module, and a high-performance edge computing server, predicts VOCs concentration fluctuations in real time and optimizes operating parameters, significantly improving the system's intelligence level and overall performance.

[0044] This invention also enhances the compatibility and functional expansion capabilities of the device through a modular expansion interface design, adapting to the needs of different industrial scenarios. Compared with traditional technologies, this invention has significant advantages in VOCs removal rate, zeolite regeneration efficiency, energy consumption control, and operating costs. Furthermore, through deep intelligent regulation and multi-mode treatment, it meets the requirements for efficient, stable, and low-cost VOCs treatment under complex operating conditions, providing an innovative solution for industrial waste gas treatment.

[0045] It should be understood that all combinations of the foregoing concepts and the additional concepts described in more detail below can be considered part of the inventive subject matter of this disclosure, provided that such concepts do not contradict each other.

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

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

[0048] Figure 1 This is a schematic diagram of the steps of the present invention.

[0049] Figure 2 This is a schematic diagram of the process of the present invention. Detailed Implementation

[0050] To better understand the technical content of this invention, specific embodiments are described below in conjunction with the accompanying drawings. Various aspects of the invention are described in this disclosure with reference to the accompanying drawings, which illustrate numerous illustrative embodiments. The embodiments of this disclosure are not necessarily defined to include all aspects of the invention. It should be understood that the various concepts and embodiments described 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 this invention are not limited to any particular implementation. Furthermore, some aspects of this invention can be used alone or in any suitable combination with other aspects of this invention.

[0051] This embodiment provides an organic waste gas treatment device based on zeolite molecular sieve adsorption-desorption. Its overall connection frame and spatial layout are as follows: The device adopts a modular design, with each hardware module connected via standardized stainless steel pipes, pneumatic valves, electrical cables, and modular interfaces to form an integrated treatment system. The modules are arranged according to the waste gas treatment process sequence, and their spatial layout is as follows:

[0052] High-efficiency pretreatment unit: located at the inlet of the device, adjacent to the exhaust gas input pipe, occupying 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 adsorption towers T1-T4 are linearly distributed, each tower is 1.5m in diameter, 3m high, and 1m apart.

[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 regeneration unit, extending along the X-axis, occupying an area of ​​approximately 3m×2m×3m.

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

[0057] Modular expansion interfaces: distributed at key nodes on the device casing, using flange connections, with coordinates dispersed.

[0058] The gas path is connected as follows: the exhaust gas flows through the pretreatment unit, adsorption tower group, regeneration unit and tail gas treatment unit in sequence through stainless steel pipelines. The pipelines are equipped with pneumatic valves to control the flow direction.

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

[0060] The data flow is as follows: the sensor network collects data such as VOCs concentration, temperature, pressure, and flow rate, 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 connections, positions, and functions of each hardware module are as follows:

[0062] The high-efficiency pretreatment unit includes an electrostatic precipitator / bag filter, a plasma pre-oxidation module, a variable frequency condenser dehumidifier, and a high-precision VOCs analyzer.

[0063] The electrostatic precipitator / bag filter is located at the unit inlet and is directly connected to the exhaust gas input pipe.

[0064] The plasma pre-oxidation module is located 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 path connection: Exhaust gas enters the electrostatic precipitator / bag filter hybrid dust collector through the input pipe, flows sequentially through the plasma pre-oxidation module and the variable frequency condenser / dehumidifier, and the outlet pipe connects to the adsorption tower assembly. Flow meters and pressure sensors are installed inside the pipes.

[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 RS485 bus.

[0069] The electrostatic precipitator-bag filter hybrid dust collector combines electrostatic adsorption and 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 out larger particles, and periodic vibration cleaning removes dust.

[0070] The pulsed plasma generation in the plasma pre-oxidation module produces high-energy electrons and active species, decomposing high-molecular VOCs into smaller molecules with a decomposition rate of 22%. The PSO algorithm optimizes power and reduces energy consumption.

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

[0072] A high-precision VOCs analyzer monitors the composition and concentration of exhaust gas in real time, providing data for the PSO algorithm and optimizing 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 adsorption towers (T1-T4) are arranged linearly along the X-axis, each tower having a diameter of 1.5m and a height of 3m.

[0076] An airflow distribution optimization device is installed at the bottom inlet of each tower and includes a perforated guide plate and a vortex generator.

[0077] The adaptive airflow controller is installed at the inlet pipe of the tower group and adjusts the airflow through a 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 on the inlet and outlet pipes of each tower to control airflow switching.

[0080] Gas connection method: The outlet pipeline of the pretreatment unit is connected to the inlet of T1-T4 through a distributor, and the on / off state of each tower is controlled by a pneumatic valve. The tower outlets are merged into 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 RS485 bus, and the pressure and temperature sensors inside the tower provide auxiliary data.

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

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

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

[0085] The four-stage adsorption tower T4 has zeolite with high specific surface area, which captures residual VOCs.

[0086] Each tower is filled with zeolite molecular sieves, which capture VOCs through synergistic chemical and physical adsorption, achieving 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, promotes the contact between VOCs and zeolite, and increases the utilization rate of zeolite by 25%.

[0088] The adaptive airflow controller uses a variable frequency fan to adjust the airflow speed, optimizes VOCs molecule diffusion, and dynamically adjusts the speed using a GA algorithm.

[0089] VOCs concentration sensors monitor inlet and outlet concentrations, calculate adsorption efficiency, and trigger tower switching.

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

[0091] The four-stage tower optimizes adsorption for different VOCs, dynamically adjusts the airflow controller and valve system, provides real-time feedback from sensors, and predicts saturation time using a digital twin platform, achieving efficient VOCs capture.

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

[0093] The regeneration unit is arranged in parallel with the adsorption tower group, along the Y-axis.

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

[0095] The low-pressure plasma generator is installed at the top of the tower, with electrodes extending into the tower.

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

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

[0098] An infrared spectrometer probe is embedded in the outlet pipe of the condenser recovery unit.

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

[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 transmitter of the zoned microwave generator precisely heats the saturated region, releases VOCs through dielectric loss, optimizes power to 1.5kW, and reduces energy consumption.

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

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

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

[0105] Infrared spectroscopy is used to monitor the components of desorbed exhaust gas, assess carbon loss rate, and provide feedback for the PSO algorithm.

[0106] Microwave and plasma synergistic heating decomposition, hot air-assisted desorption, condensation recovery of VOCs, infrared spectroscopy monitoring of carbon loss, and PSO algorithm optimization of parameters 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 condenser, and a multi-channel heat recovery unit.

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

[0109] The photocatalytic oxidation module is connected in parallel to the combustion furnace and is switched via valves.

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

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

[0112] Gas connection method: Desorption exhaust gas enters the combustion furnace, photocatalytic module, or condenser recovery unit through a diversion valve, and the treated exhaust gas is discharged through a heat recovery unit. The pipeline is equipped with a VOCs concentration sensor.

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

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

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

[0116] The three-stage condensation recovery unit can recover VOCs with a recovery rate of >90%.

[0117] The multi-channel heat recovery unit recovers heat from combustion and photocatalysis through its heat pipes, achieving a heat recovery rate of >90% and reducing energy consumption.

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

[0119] The digital twin intelligent control system includes a sensor network, a digital twin platform, a deep learning module, a high-performance edge computing server, and an intelligent pneumatic valve system.

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

[0121] The digital twin platform is located in the control room, with servers and displays integrated.

[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, equipped with a GPU, and has a response time of <50ms.

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

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

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

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

[0128] The deep learning module uses the LSTM algorithm to predict VOCs concentration fluctuations and optimize adsorption tower switching and regeneration parameters.

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

[0130] The intelligent pneumatic valve system switches the adsorption tower according to algorithm instructions, with a response time of [time period].

[0131] Sensors provide real-time data, digital twin platforms and LSTM predict fluctuations, edge computing servers optimize parameters, and valve systems execute commands to achieve dynamic control and improve system efficiency.

[0132] Modular expansion interfaces include standardized gas and electrical interfaces, distributed on the device housing, such as the pretreatment unit outlet and the exhaust gas treatment unit outlet, using flanges and junction boxes.

[0133] In the above embodiments, the pretreatment unit optimizes waste gas conditions, the adsorption tower group efficiently captures VOCs, and the tail gas treatment unit removes residual VOCs, achieving a removal rate of >99.8% and an emission concentration of <3mg / m³. Plasma-assisted regeneration reduces temperature, infrared spectroscopy monitors carbon loss, with a carbon loss rate of <1.5%, extending zeolite lifespan to 3 years. Real-time control via a digital twin system and the PSO-GA algorithm improves response speed by 60% and reduces operating costs by 30%.

[0134] Pretreatment provides low-humidity, low-particulate-content waste gas for adsorption; adsorption towers capture VOCs; regeneration units recover zeolite properties; tail gas treatment ensures emissions meet standards; and a control system optimizes the entire process. A sensor network and edge computing servers form a closed-loop control system, a digital twin platform predicts fluctuations, and a valve system executes switching.

[0135] The modules are arranged along the direction of wastewater flow, occupying an area of ​​approximately 20m × 5m × 3m, suitable for industrial plants. The adsorption tower and regeneration unit run in parallel for easy maintenance; centralized management from the control room ensures convenient operation. The interfaces are distributed throughout the layout, supporting modular upgrades.

[0136] Each hardware module is connected via standardized pipes, pneumatic valves, RS485 bus, and modular interfaces, and is laid out linearly or in parallel according to the waste gas treatment process: pretreatment → adsorption → regeneration → tail gas treatment. The control system covers the entire process. The high-efficiency pretreatment unit optimizes waste gas conditions, the adsorption tower group efficiently captures VOCs, the regeneration unit regenerates zeolite with low loss, the tail gas treatment unit dynamically treats tail gas, the digital twin system provides intelligent control, and the expansion interface enhances flexibility.

[0137] This embodiment also provides a treatment method for organic waste gas treatment devices based on zeolite molecular sieve adsorption-desorption, as detailed below:

[0138] Step 1: High-efficiency pretreatment. The exhaust gas passes through an electrostatic precipitator / bag filter to remove particles >2.5μm. A plasma pre-oxidation module decomposes high-molecular-weight VOCs, achieving a decomposition rate of 15%-20%. A variable frequency condenser dehumidifier reduces humidity to <25% RH and controls the temperature between 15-35℃. The plasma power P is optimized using the PSO algorithm. e and condensation temperature T c The goal is to maximize VOCs decomposition rate and humidity control efficiency. Optimization formula:

[0139]

[0140] D r VOCs decomposition rate reflects the effectiveness of pretreatment. 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] Formulas quantify the effects of plasma power and humidity on VOCs decomposition, and optimize 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 The variable frequency condensing dehumidifier features a two-stage condensing system, equipped with a variable frequency refrigeration controller to regulate the exhaust gas temperature (T). g and exhaust gas humidity H r A high-precision VOCs analyzer monitors the components and concentrations of exhaust gas in real time and provides exhaust gas temperature T. g and exhaust gas humidity H r Data. 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℃, ensuring VOCs decomposition rate D r =22%.

[0143] The high-precision VOCs analyzer provides real-time exhaust gas temperature T. g and exhaust gas humidity H r Supports the formula for VOCs decomposition rate D r The plasma power is optimized by calculating the exponential and humidity terms. The variable frequency condensing dehumidifier precisely measures the exhaust gas temperature T. g And control to reduce exhaust gas humidity H r This enhances plasma decomposition efficiency and reduces pore blockage. 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 It increases the decomposition rate by 10% and saves 20% of energy.

[0144] Step 2: Four-stage adsorption tower operation. The waste gas sequentially passes through four adsorption towers T1-T4. T1 captures aromatic / sulfur-containing VOCs, T2 captures chlorine / nitrogen-containing VOCs, T3 captures large-molecule VOCs, and T4 captures residual VOCs. A porous guide plate and vortex generator in the airflow distribution optimization device adjust the airflow, and sensors inside the towers monitor the VOC concentration. The digital twin system dynamically switches adsorption towers based on saturation. The GA algorithm is used to optimize the airflow velocity V. g and switching threshold S t The goal is to maximize adsorption efficiency. Optimization formula:

[0145]

[0146] A e Adsorption efficiency. V g Airflow velocity. C v VOCs concentration. S a : Adsorption tower saturation. S t : Switching threshold. k2: Adsorption coefficient. β: Concentration influence coefficient.

[0147] The formula quantifies the impact of airflow velocity and switching threshold on adsorption efficiency, thus optimizing 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 VOCs concentration C. v and adsorption tower saturation S a The adaptive airflow controller adjusts the airflow velocity V. g =1.2m / s, ensuring uniform airflow distribution. The intelligent pneumatic valve system dynamically switches the adsorption tower, with a response time of <0.1 seconds, and optimizes the switching threshold S. t =80%. The digital twin platform simulates the adsorption tower's state in real time and predicts saturation. The edge computing control module runs the GA algorithm to optimize the airflow velocity V. g and switching threshold St To ensure adsorption efficiency A e =99%.

[0149] The adaptive airflow controller uses precise airflow velocity V g Achieving the formula adsorption efficiency A e The linear term enhances the contact probability between VOC 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%. The GA algorithm works in conjunction with the digital twin platform, based on real-time VOCs concentration C. v Optimizing parameters improves adsorption efficiency by 3%-4%.

[0150] Step 3: Plasma-assisted regeneration. The saturated adsorption tower is switched to regeneration mode, and the zoned microwave generator, low-pressure plasma generator, and hot air system work together for desorption. A multi-stage condenser recovers VOCs. An infrared spectrometer monitors the components of the desorbed gas. The microwave power P is optimized using the PSO algorithm. 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. The formula quantifies the effects of microwave, plasma, and hot air on desorption efficiency and carbon loss, optimizing regeneration performance.

[0153] Specifically, the three-layer transmitter of the partitioned microwave generator precisely controls the microwave power P. m =1.5kW. Low-pressure plasma generator power 0.2-0.5kW, controlling 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 spectroscopy is used to monitor the composition of the desorbed gas and assess the carbon loss rate L. c A multi-stage condenser recovers VOCs. The edge computing control module runs the PSO algorithm to optimize microwave power P. m Plasma power P p Hot air temperature T h To ensure 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 supports the formula for desorption efficiency R. e Carbon loss terms were calculated, and regeneration parameters were optimized. A zoned microwave generator and a low-pressure plasma generator worked together to achieve the formula-based desorption efficiency R. e The power and exponential terms are reduced, lowering the regeneration temperature and minimizing pore collapse. The PSO algorithm, in collaboration with the edge computing module, dynamically adjusts parameters, improving desorption efficiency by 1.5% and reducing carbon loss by 25%.

[0155] Step 4: Multi-mode exhaust gas treatment operation. The treatment mode for desorbed exhaust gas is dynamically selected based on its concentration. High-concentration VOCs are treated using a catalytic combustion furnace. Low-concentration VOCs are treated using a photocatalytic oxidation module. Recoverable VOCs are treated using a condenser. Heat is recovered using a heat exchanger. The catalytic combustion temperature T is optimized using the GA algorithm. 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. H r : Heat recovery rate. k4: Removal coefficient. E t : Activation energy for removal. R: Gas constant. The formula quantifies the impact of tail gas treatment parameters on removal rate and heat recovery, optimizing treatment efficiency.

[0158] Specifically, the catalytic combustion furnace uses a Pt / Pd / CeO2 catalyst and controls the catalytic combustion temperature T. b =200℃. The photocatalytic oxidation module is equipped with a UV light source and a TiO2 coating to control the photocatalytic power P. l =300W. The condenser controls the condensation temperature T. d = -5℃. A multi-channel heat recovery unit recovers heat from catalytic combustion, ensuring a heat recovery rate H. r =90%. A high-precision VOCs analyzer monitors the exhaust gas concentration and verifies the 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 To ensure VOCs removal rate Tr =99.8%.

[0159] Multi-channel heat recovery unit achieves precise heat recovery rate H r Achieve VOCs removal rate T using the formula r The heat recovery item reduces energy consumption by 30%. The catalytic combustion furnace and photocatalytic module dynamically switch according to VOCs concentration, optimizing the VOCs removal rate T formula. r Temperature and power parameters were optimized, resulting in a 0.8% improvement in removal rate. The GA algorithm, in conjunction with a high-precision VOCs analyzer, optimizes parameters in real time to ensure emission concentrations <3 mg / m³. 3 .

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

[0161]

[0162] F: Overall performance indicators. A e A e0 R represents the optimized and initial adsorption efficiencies, respectively. e R e0 These represent the optimized and initial desorption efficiencies, respectively. T r T r0 The figures represent the optimized and initial VOCs removal rates, respectively. c E c0 These represent the optimized and initial energy consumption, respectively. w1, w2, w3, w4: weighting coefficients, used in the formula to comprehensively evaluate adsorption, regeneration, exhaust gas treatment, and energy consumption, guiding global optimization.

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

[0164] Sensor networks provide real-time data, supporting multiple calculations of the comprehensive performance index F and optimizing global performance. High-performance edge computing servers iteratively optimize parameters using the PSO-GA algorithm, achieving a 90% improvement in F. A digital twin platform collaborates with an 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 rate and reducing carbon loss and energy consumption. The synergistic effect of hardware and formula solves the problems of limited adsorption efficiency, high regeneration energy consumption, and insufficient flexibility in exhaust gas treatment, bringing unexpected results of ultra-low emissions, extremely low carbon loss, and dynamic adaptability, demonstrating excellent industrial application potential.

[0166] While the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the invention. Those skilled in the art can make various modifications and refinements without departing from the spirit and scope of the 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-desorption, characterized in that, Includes the following modules: The high-efficiency pretreatment unit includes an electrostatic precipitator and a bag filter, a plasma pre-oxidation module, a variable frequency condenser and dehumidifier, and a high-precision VOCs analyzer. It is used to remove particulate matter, decompose high molecular VOCs, reduce humidity, and monitor the composition of exhaust gas in real time. The exhaust gas enters the electrostatic precipitator and bag filter from the input pipe, flows through the plasma pre-oxidation module and the variable frequency condenser and dehumidifier in sequence, and the outlet pipe is connected to the adsorption tower group. The composite zeolite molecular sieve adsorption tower group includes four adsorption towers, each filled with a different composite zeolite molecular sieve. 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. In the four adsorption towers of the composite zeolite molecular sieve adsorption tower group: The first column 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 sieves, which are designed for large molecular VOCs. The fourth tower is filled with high specific surface area zeolite molecular sieve to capture residual VOCs, and the waste gas passes through the four-stage adsorption tower in sequence. Adaptive airflow controller to adjust airflow speed; Intelligent pneumatic valve system for dynamic switching of adsorption tower; An airflow distribution optimization device, comprising a porous guide vane and a vortex generator; VOCs concentration sensor to monitor VOCs concentration in real time; The plasma-assisted microwave-hot air regeneration unit includes a zoned microwave generator, a low-pressure plasma generator, a hot air circulation system, a multi-stage condenser, and an infrared spectrometer. It is used for efficient, low-loss zeolite regeneration and monitoring of exhaust gas components. The zoned microwave generator is embedded in the inner wall of each tower, the low-pressure plasma generator is installed at the top of the tower with electrodes extending into the tower, the hot air circulation system is located on the side of the regeneration unit and connected to each tower through hot air pipes, the multi-stage condenser is located at the outlet of the regeneration unit, the saturated adsorption tower is switched to regeneration mode by a pneumatic valve, the desorbed gas enters the multi-stage condenser through pipes, and the exhaust gas enters the exhaust gas treatment unit. The multi-mode exhaust gas treatment unit includes a catalytic combustion furnace, a photocatalytic oxidation module, a condenser and a multi-channel heat recovery unit, which dynamically switches treatment modes to adapt to different VOCs characteristics. The digital twin intelligent control system includes a sensor network, a digital twin platform, a deep learning module, a high-performance edge computing server, and an intelligent pneumatic valve system. It predicts VOCs concentration fluctuations and optimizes operating parameters based on deep learning and intelligent optimization algorithms. Modular expansion interfaces, including standardized pneumatic and electrical interfaces, support functional expansion and compatibility with external systems; The device uses a digital twin intelligent control system to coordinate the control of various modules, thereby removing multiple VOCs from the exhaust gas, reducing emission concentration, and reducing zeolite carbon loss rate.

2. The organic waste gas treatment device based on zeolite molecular sieve adsorption-desorption treatment according to claim 1, characterized in that, In the high-efficiency preprocessing unit: The electrostatic precipitator-bag filter combines electrostatic dust removal and bag filtration to remove particulate matter. The plasma pre-oxidation module uses a pulsed plasma generator to decompose high molecular VOCs; Variable frequency condensing dehumidifier reduces the humidity of exhaust gas through two-stage condensation; A high-precision VOCs analyzer monitors the composition and concentration of exhaust gas in real time.

3. The organic waste gas treatment device based on zeolite molecular sieve adsorption-desorption treatment according to claim 2, characterized in that, In the plasma-assisted microwave-hot air regeneration unit, the zoned microwave generators are arranged in layers to precisely heat the saturated area; the low-pressure plasma generator decomposes stubborn VOCs residues; the hot air circulation system is equipped with a heat recovery device; the multi-stage condenser recovers VOCs in stages; and the infrared spectrometer monitors the components of the desorbed exhaust gas.

4. The organic waste gas treatment device based on zeolite molecular sieve adsorption-desorption treatment according to claim 3, 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 condenser recovers VOCs with different boiling points in stages; and the multi-channel heat recovery unit recovers heat.

5. The organic waste gas treatment device based on zeolite molecular sieve adsorption-desorption treatment according to claim 4, characterized in that, In the digital twin intelligent control system, a sensor network covers the entire process for monitoring; the digital twin platform simulates the device's operating status in real time; a deep learning module predicts VOCs concentration fluctuations; a high-performance edge computing server runs intelligent optimization algorithms; and an intelligent pneumatic valve system dynamically adjusts the switching of the adsorption tower.

6. The organic waste gas treatment device based on zeolite molecular sieve adsorption-desorption treatment according to claim 5, characterized in that, The following steps are used for processing: Step 1: High-efficiency pretreatment. The exhaust gas is treated by an electrostatic precipitator-bag filter, a plasma pre-oxidation module, a variable frequency condenser dehumidifier, and a high-precision VOCs analyzer to remove particulate matter, decompose high molecular weight 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. An adaptive airflow controller, an intelligent pneumatic valve system, and a VOCs concentration sensor are used to optimize the airflow speed and adsorption tower switching to maximize VOCs adsorption efficiency. Step 3: Plasma-assisted regeneration. The saturated adsorption tower is regenerated through a zoned microwave generator, a low-pressure plasma generator, a hot air circulation system, a multi-stage condenser and recovery unit, and an infrared spectrometer to optimize desorption efficiency and minimize zeolite loss. Step 4: Multi-mode exhaust gas treatment. The desorbed exhaust gas is treated by a catalytic combustion furnace, a photocatalytic oxidation module, a condenser and a multi-channel heat recovery unit. The mode is dynamically switched to maximize VOCs removal rate and heat recovery efficiency. Step 5: Deep intelligent control. Through a digital twin platform, sensor network, and high-performance edge computing server, the parameters of the entire process are controlled in real time based on deep learning and intelligent optimization algorithms to optimize the overall performance. This step is executed collaboratively by a high-efficiency pretreatment unit, a composite zeolite molecular sieve adsorption tower group, a plasma-assisted microwave-hot air regeneration unit, a multi-mode exhaust gas treatment unit, and a digital twin intelligent control system.

7. The organic waste gas treatment device based on zeolite molecular sieve adsorption-desorption treatment according to claim 6, characterized in that, The efficient pretreatment in step 1 involves monitoring the components of the exhaust gas with a high-precision VOCs analyzer and optimizing the plasma power and condensation temperature with an edge computing control module to improve the VOCs decomposition efficiency.

8. The organic waste gas treatment device based on zeolite molecular sieve adsorption-desorption treatment according to claim 6, characterized in that, The four-stage adaptive adsorption in step 2 optimizes the airflow speed and adsorption tower switching through an adaptive airflow controller, intelligent pneumatic valve system and VOCs concentration sensor, thereby improving adsorption efficiency. In step 3, plasma-assisted regeneration is achieved through the coordinated operation of a zoned microwave generator, a low-pressure plasma generator, a hot air circulation system, and an infrared spectrometer. The edge computing control module optimizes microwave power, plasma power, and hot air temperature to improve desorption efficiency and reduce zeolite loss.

9. The organic waste gas treatment device based on zeolite molecular sieve adsorption-desorption treatment according to claim 6, characterized in that, The multi-mode exhaust gas treatment in step 4 involves the coordinated operation of a catalytic combustion furnace, a photocatalytic oxidation module, a condenser, and a multi-channel heat recovery unit. A high-precision VOCs analyzer verifies the removal rate, and an edge computing control module optimizes the combustion temperature, photocatalytic power, and condensation temperature to improve the VOCs removal rate. The deep intelligent regulation in step 5 involves the collaborative operation of a digital twin platform, sensor network, and high-performance edge computing server to run intelligent optimization algorithms, thereby improving system efficiency and operating cost-effectiveness.

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