Treatment method of medicine production waste gas

Abstract

The invention relates to the technical field of waste gas treatment, in particular to a medicine production waste gas treatment method which comprises the following steps: step 1, waste gas pretreatment: 1, particulate matter removal: electrostatic dust collection and ceramic membrane filtration are performed, the pore size of a ceramic membrane is 0.1 mu m, and the PM2.5 retention rate is greater than 99%; 2, temperature and humidity regulation: spraying and cooling to 40 + / -2 DEG C, and controlling the humidity to be 60% RH; step 2, supergravity rotating absorption: adopting a supergravity rotating bed, and when the supergravity factor beta is 200, the rotating speed is 2500rpm, the gas-liquid ratio is 1: 0.3 and the inlet gas concentration is 5000mg / m, the single-stage absorption rate is greater than 95%, and the outlet concentration is less than 250mg / m. A traditional packed tower is replaced with a supergravity rotating bed (a rotating packed bed RPB), and the gas-liquid mass transfer efficiency is improved by 5-8 times; the thickness of a liquid film in a centrifugal force field is reduced to a micron order, a diffusion path is shortened, and the absorption rate constant (KLa) is increased to 10 times that of an atmospheric tower.

Description

Technical Field

[0001] The present invention relates to the technical field of waste gas treatment, and in particular to a method for treating waste gas from pharmaceutical production. Background Art

[0002] During the pharmaceutical production and preparation process, a large amount of VOCs waste gas is generated. This waste gas is toxic and pollutes the atmospheric environment, but it has economic recovery value. Therefore, it is commonly recovered and treated using methods such as activated carbon adsorption and absorbent absorption and desorption. Activated carbon has a short adsorption cycle, frequent adsorption and desorption cycles, a short lifespan of the adsorbent activated carbon, and expired activated carbon is classified as solid hazardous waste. The absorption and desorption method, on the other hand, is a green and efficient VOCs waste gas recovery and treatment technology because the absorbent can be recycled, does not pollute the environment, and has no impact on VOCs. Therefore, the absorption and desorption method has more advantages. However, the atmospheric pressure tail gas absorption and desorption method has a low absorption rate, and the absorbed tail gas cannot meet emission standards. Using activated carbon to treat the residual gas to meet emission standards has these shortcomings. Therefore, process improvements to the absorption and desorption method to improve the recovery efficiency of atmospheric pressure VOCs waste gas with high concentrations and low to medium volumes, ensure that the tail gas meets emission standards, and reduce environmental pollution are urgent issues that VOCs production and use companies in the chemical and pharmaceutical industries need to address. Summary of the Invention

[0003] The purpose of the present invention is to provide a method for treating pharmaceutical production waste gas to solve the problems raised in the above background technology.

[0004] To achieve the above object, the present invention provides the following technical solution: a method for treating pharmaceutical production waste gas, comprising the following steps: Step 1: Exhaust gas pretreatment: 1. Particle removal: electrostatic dust removal and ceramic membrane filtration, where the ceramic membrane has a pore size of 0.1μm and a PM2.5 retention rate of >99%; 2. Temperature and humidity adjustment: spray to cool down to 40℃±2℃, humidity is controlled at 60%RH; Step 2: Super gravity rotation absorption: Using a high-gravity rotating bed, the high-gravity factor β=200, the rotation speed is 2500rpm, the gas-liquid ratio is 1:0.3, when the inlet concentration is 5000mg / m³, the single-stage absorption rate is greater than 95%, and the outlet concentration is less than 250mg / m³; Step 3: desorption and VOCs recovery; Negative pressure flash desorption: The desorption tower temperature is 80°C, the pressure is -10kPa, and the VOCs recovery rate is >98%; The condensing system uses two-stage -15℃ ethanol refrigerant and liquefaction recovery; Regeneration of deep eutectic solvent: activated carbon fiber filter element, pore size 1nm, intercepts degradation products, and the annual replenishment of deep eutectic solvent is less than 5%; Step 4: Catalytic oxidation of tail gas: The catalytic bed uses a honeycomb ceramic carrier with a specific surface area of ​​300m² / g, a space velocity of 20,000h⁻¹, and a reaction temperature of 180-220°C. Total non-methane hydrocarbons <10mg / m³, benzene series <1mg / m³; Step 5: Intelligent control system.

[0005] Preferably, the deep eutectic solvent has a viscosity of 25 cP and a pH of 6.5 when the temperature is 25° C. and is non-volatile.

[0006] Preferably, the high-gravity rotating bed uses a titanium alloy rotor with a power of 7.5kW, a gas-liquid contact time of less than 0.1s, and a volume reduction of 80%.

[0007] Preferably, the catalytic bed uses Mn-Ce and ZSM-5 catalysts in a ratio of 3:1, and the specific surface area is 450m² / g.

[0008] Preferably, the intelligent control system includes a multi-source data acquisition module, an edge preprocessing module, a core control module, and an optimization decision module.

[0009] Preferably, the multi-source data acquisition module comprises a plurality of sub-unit sensors, which are installed on the equipment, wherein the sub-unit sensors include: VOCs concentration sensor: laser spectrometer, used to monitor the concentration of inlet and outlet air; Equipment status sensors: vibration, temperature, and pressure sensors; Environmental sensors: temperature, humidity, and PM2.5 monitoring.

[0010] Preferably, the edge preprocessing module completes data cleaning, preliminary analysis and abnormal warning on the device side, adopts wavelet transform denoising algorithm to eliminate signal fluctuations caused by electromagnetic interference; LSTM time series prediction: predicts sensor data trends, and warns of abnormalities with deviations greater than 15% 10 minutes in advance.

[0011] Preferably, the optimization decision module optimizes system energy efficiency and processing effect through machine learning and operations research; Bayesian optimization was used to optimize the combined parameters of rotating bed speed and absorbent flow rate. Reinforcement learning: training catalyst replacement strategies, extending lifespan by 15%; Digital twin simulation: ANSYS Twin Builder simulates equipment extreme operating conditions.

[0012] Compared with the prior art, the present invention has the following beneficial effects: The high gravity rotating bed (rotating packed bed RPB) is used to replace the traditional packed tower, and the gas-liquid mass transfer efficiency is increased by 5-8 times. Under the centrifugal field, the liquid film thickness is reduced to the micron level, the diffusion path is shortened, and the absorption rate constant (KLa) is increased to 10 times that of the atmospheric pressure tower.

[0013] Absorbent selection: Deep eutectic solvent (DES): Choline chloride / urea (molar ratio 1:2), with a Henry's constant for toluene and acetone as low as 0.05 kPa·m³ / mol (200 times lower than water); Adding 2% nano-SiO2 enhances surface turbulence and has an absorption capacity of 1.2kgVOCs / kgDES; Desorption-catalytic oxidation coupling (CO) Desorption process optimization: The desorption temperature is reduced to 80℃ (traditional steam desorption requires 120℃), and the DES loss rate is less than 0.1% / cycle Negative pressure desorption (-10kPa) makes VOCs desorption rate>95%, recovery purity>98% Exhaust gas deep treatment: The desorbed tail gas enters the catalytic oxidation bed (non-precious metal Mn-Ce / ZSM-5 catalyst), where the residual VOCs (<500 mg / m³) are decomposed into CO2+H2O at 200°C, with a removal rate of >99.5%. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0015] Figure 1 This is a flow chart of the method for treating pharmaceutical production waste gas according to the present invention; Figure 2 This is a comparison chart of the data of the present invention. DETAILED DESCRIPTION

[0016] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0017] See also Figures 1 to 2 , the present invention provides a technical solution: A method for treating pharmaceutical production waste gas comprises the following steps: Step 1: Exhaust gas pretreatment: 1. Particle removal: electrostatic dust removal and ceramic membrane filtration, where the ceramic membrane has a pore size of 0.1μm and a PM2.5 retention rate of >99%; 2. Temperature and humidity adjustment: spray to cool down to 40℃±2℃, humidity is controlled at 60%RH; Step 2: Super gravity rotation absorption: Using a high-gravity rotating bed, the high-gravity factor β=200, the rotation speed is 2500rpm, the gas-liquid ratio is 1:0.3, when the inlet concentration is 5000mg / m³, the single-stage absorption rate is greater than 95%, and the outlet concentration is less than 250mg / m³; Step 3: desorption and VOCs recovery; Negative pressure flash desorption: The desorption tower temperature is 80°C, the pressure is -10kPa, and the VOCs recovery rate is >98%; The condensing system uses two-stage -15℃ ethanol refrigerant and liquefaction recovery; Regeneration of deep eutectic solvent: activated carbon fiber filter element, pore size 1nm, intercepts degradation products, and the annual replenishment of deep eutectic solvent is less than 5%; Step 4: Catalytic oxidation of tail gas: The catalytic bed uses a honeycomb ceramic carrier with a specific surface area of ​​300m² / g, a space velocity of 20,000h⁻¹, and a reaction temperature of 180-220°C. Total non-methane hydrocarbons <10mg / m³, benzene series <1mg / m³; Step 5: Intelligent control system.

[0018] Specifically, the low eutectic solvent has a temperature of 25° C., a viscosity of 25 cP, a pH value of 6.5, and is non-volatile.

[0019] Specifically, the high-gravity rotating bed uses a titanium alloy rotor with a power of 7.5kW, a gas-liquid contact time of less than 0.1s, and a volume reduction of 80%.

[0020] Specifically, the catalytic bed uses Mn-Ce and ZSM-5 catalysts in a ratio of 3:1 and a specific surface area of ​​450 m² / g.

[0021] Specifically, the intelligent control system includes a multi-source data acquisition module, an edge preprocessing module, a core control module, and an optimization decision module.

[0022] Specifically, the multi-source data acquisition module includes a plurality of sub-unit sensors, which are installed on the device, wherein the sub-unit sensors include: VOCs concentration sensor: laser spectrometer, used to monitor the concentration of inlet and outlet air; Equipment status sensors: vibration, temperature, and pressure sensors; Environmental sensors: temperature, humidity, and PM2.5 monitoring.

[0023] Specifically, the edge preprocessing module completes data cleaning, preliminary analysis and abnormal warning on the device side, using a wavelet transform denoising algorithm to eliminate signal fluctuations caused by electromagnetic interference; LSTM time series prediction: predicts sensor data trends and warns of abnormalities with deviations greater than 15% 10 minutes in advance.

[0024] Specifically, the optimization decision module optimizes system energy efficiency and processing effects through machine learning and operations research; Bayesian optimization was used to optimize the combined parameters of rotating bed speed and absorbent flow rate. Reinforcement learning: training catalyst replacement strategies, extending lifespan by 15%; Digital twin simulation: ANSYS Twin Builder simulates equipment extreme operating conditions.

[0025] Compared with the prior art, the present invention has the following beneficial effects: The high gravity rotating bed (rotating packed bed RPB) is used to replace the traditional packed tower, and the gas-liquid mass transfer efficiency is increased by 5-8 times. Under the centrifugal field, the liquid film thickness is reduced to the micron level, the diffusion path is shortened, and the absorption rate constant (KLa) is increased to 10 times that of the atmospheric pressure tower.

[0026] Absorbent selection: Deep eutectic solvent (DES): Choline chloride / urea (molar ratio 1:2), with a Henry's constant for toluene and acetone as low as 0.05 kPa·m³ / mol (200 times lower than water); Adding 2% nano-SiO2 enhances surface turbulence and has an absorption capacity of 1.2kgVOCs / kgDES; Desorption-catalytic oxidation coupling (CO) Desorption process optimization: The desorption temperature is reduced to 80℃ (traditional steam desorption requires 120℃), and the DES loss rate is less than 0.1% / cycle Negative pressure desorption (-10kPa) makes VOCs desorption rate>95%, recovery purity>98% Exhaust gas deep treatment: The desorbed tail gas enters the catalytic oxidation bed (non-precious metal Mn-Ce / ZSM-5 catalyst), where the residual VOCs (<500 mg / m³) are decomposed into CO2+H2O at 200°C, with a removal rate of >99.5%.

[0027] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for treating pharmaceutical production waste gas, characterized by: The steps include: Step 1: Exhaust gas pretreatment:

1. Particle removal: electrostatic dust removal and ceramic membrane filtration, where the ceramic membrane has a pore size of 0.1μm and a PM2.5 retention rate of >99%; 2. Temperature and humidity adjustment: spray cooling to 40℃±2℃, humidity control 60%RH; Step 2: Super gravity rotation absorption: Using a high-gravity rotating bed, the high-gravity factor β=200, the rotation speed is 2500rpm, the gas-liquid ratio is 1:0.3, when the inlet concentration is 5000mg / m³, the single-stage absorption rate is greater than 95%, and the outlet concentration is less than 250mg / m³; Step 3: desorption and VOCs recovery; Negative pressure flash desorption: The desorption tower temperature is 80°C, the pressure is -10kPa, and the VOCs recovery rate is >98%; The condensing system uses two-stage -15℃ ethanol refrigerant and liquefaction recovery; Regeneration of deep eutectic solvent: activated carbon fiber filter element, pore size 1nm, intercepts degradation products, and the annual replenishment of deep eutectic solvent is less than 5%; Step 4: Catalytic oxidation of tail gas: The catalytic bed uses a honeycomb ceramic carrier with a specific surface area of ​​300m² / g, a space velocity of 20,000h⁻¹, and a reaction temperature of 180-220°C. Total non-methane hydrocarbons <10mg / m³, benzene series <1mg / m³; Step 5: Intelligent control system.

2. The method for treating pharmaceutical production waste gas according to claim 1, characterized in that: The deep eutectic solvent has a viscosity of 25 cP and a pH of 6.5 when the temperature is 25° C. and is non-volatile.

3. The method for treating pharmaceutical production waste gas according to claim 1, characterized in that: The high-gravity rotating bed uses a titanium alloy rotor with a power of 7.5kW, a gas-liquid contact time of less than 0.1s, and a volume reduction of 80%.

4. The method for treating pharmaceutical production waste gas according to claim 1, characterized in that: The catalytic bed uses Mn-Ce and ZSM-5 catalysts in a ratio of 3:1, and has a specific surface area of ​​450m² / g.

5. The method for treating pharmaceutical production waste gas according to claim 1, characterized in that: The intelligent control system includes a multi-source data acquisition module, an edge preprocessing module, a core control module, and an optimization decision module.

6. The method for treating pharmaceutical production waste gas according to claim 5, characterized in that: The multi-source data acquisition module includes a plurality of sub-unit sensors, which are installed on the equipment, wherein the sub-unit sensors include: VOCs concentration sensor: laser spectrometer, used to monitor the concentration of inlet and outlet air; Equipment status sensors: vibration, temperature, and pressure sensors; Environmental sensors: temperature, humidity, and PM2.5 monitoring.

7. The method for treating pharmaceutical production waste gas according to claim 5, characterized in that: The edge preprocessing module completes data cleaning, preliminary analysis, and anomaly warning on the device side. It uses a wavelet transform denoising algorithm to eliminate signal fluctuations caused by electromagnetic interference; and an LSTM time series prediction algorithm to predict sensor data trends and warn of anomalies with deviations greater than 15% 10 minutes in advance.

8. The method for treating pharmaceutical production waste gas according to claim 5, characterized in that: The optimization decision module optimizes system energy efficiency and processing effects through machine learning and operations research; Bayesian optimization was used to optimize the combined parameters of rotating bed speed and absorbent flow rate. Reinforcement learning: training catalyst replacement strategies, extending lifespan by 15%; Digital twin simulation: ANSYS Twin Builder simulates equipment extreme operating conditions.

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