Biological desulfurization system regulation and control method based on intelligent agent

Abstract

The invention belongs to the technical field of biological desulfurization, and particularly relates to a dynamic regulation and control and operation and maintenance optimization method for the front-end gas inflow of a desulfurization system based on an agent, which is suitable for biological treatment scenes of sulfur-containing gases (such as H2S), and is particularly suitable for complex working conditions of biogas, industrial waste gas and the like. According to the method, precise regulation and control, efficient operation and maintenance and resource cooperation are achieved through an intelligent agent algorithm, comprehensive breakthrough is formed in desulfurization efficiency, economical efficiency, safety and environmental protection, and an innovative solution is provided for high-sulfur industrial waste gas treatment.

Description

Technical Field

[0001] The present invention belongs to the technical field of biological desulfurization, and particularly relates to a method for dynamically regulating the intake air volume and optimizing operation and maintenance at the front end of a desulfurization system based on an agent, which is applicable to biological treatment scenarios of sulfur-containing gases (such as H2S), especially complex working conditions such as biogas and industrial waste gas. Background Art

[0002] Biological Desulfurization (BDS) is an environmental protection technology that uses microorganisms or enzymes to catalyze the metabolic process of sulfur-containing compounds (such as hydrogen sulfide, organic sulfur, etc.) to convert sulfur elements into elemental sulfur or sulfates. Its core principle is that through the oxidation or reduction of microorganisms, sulfides are dissolved in the liquid phase and adsorbed onto the biofilm, and finally decomposed into harmless products under the catalysis of enzymes. This technology is widely used in biogas treatment, oil refining, coal chemical industry, landfill gas purification and other fields. For example, it can efficiently remove H2S in biogas power generation or recover sulfur resources in industrial waste gas. Compared with traditional chemical desulfurization, biological desulfurization has the advantages of low energy consumption, no secondary pollution, and low operating cost, but it has high requirements for the microbial growth environment (such as temperature, pH, oxygen concentration), and problems such as by-product treatment and strain stability need to be solved. At present, this technology is developing towards more efficient industrial applications through optimizing strain screening and process control.

[0003] However, the current control and operation and maintenance of existing biological desulfurization systems have the following technical defects: adopting a fixed intake air volume adjustment strategy, unable to dynamically adjust according to the real-time H2S concentration and bacterial community activity, resulting in large fluctuations in desulfurization efficiency; relying on manual experience to formulate operation and maintenance plans, without integrating equipment health monitoring data, resulting in a high frequency of unplanned shutdowns; using a single strain and lacking a real-time activity detection module, the response is lagged after the bacterial community is inactivated, resulting in a decrease in desulfurization efficiency. Summary of the Invention

[0004] To solve the technical problems existing in the prior art, the present application provides a method for regulating a biological desulfurization system based on an agent, including the following steps:

[0005] Step S1: Real-time collect the H2S concentration, gas flow rate, temperature, humidity in the reactor and the activity data of the bacterial community in the tower in the intake pipeline through an electrochemical H2S sensor, an infrared temperature and humidity sensor, and a bacterial community ATP fluorescence detector, and the sampling frequency is once every 5 minutes;

[0006] Step S2: Input the collected data into an agent based on the Deep Deterministic Policy Gradient (DDPG) algorithm, and the agent outputs an intake valve opening adjustment instruction, the amount of bacterial community supplementation, and the equipment maintenance priority;

[0007] Step S3: Adjust the intake air volume through an electric control valve. The valve opening adjustment range is 0 - 100%, and the response time ≤ 1 second;

[0008] Step S4: Generate an operation and maintenance report based on the decline rate of the microbial community activity ΔA / Δt and the equipment wear rate W = k·t·v 2 , (where v is the valve action frequency), and push it to the user terminal.

[0009] Optionally, it is characterized in that the reward function of the DDPG algorithm is:

[0010]

[0011] Among them, the desulfurization efficiency calculation method is:

[0012]

[0013] Optionally, the excitation wavelength of the microbial community ATP fluorescence detector is 340 nm, the detection limit is 0.1 nmol / L, and the activity threshold is set as:

[0014] Additional trigger threshold: ATP content < 60% of the initial value;

[0015] Emergency shutdown threshold: ATP content < 30% of the initial value.

[0016] Optionally, the equipment wear rate monitoring includes:

[0017] Valve wear detection: Measure the current fluctuation of the valve motor through a Hall sensor, calculate the wear coefficient W, and generate a lubrication instruction when W > 0.8;

[0018] Pump vibration detection: Use an acceleration sensor (range 0 - 10 g), and trigger a maintenance warning when the vibration amplitude > 5 g.

[0019] Optionally, the microbial community addition strategy includes:

[0020] When the ATP content is between 60% - 70%, the addition amount is 50% of the reference amount;

[0021] When the ATP content is between 50% - 60%, the addition amount is 100% of the reference amount;

[0022] The added microbial agent is a composite microbial agent of Thioalkalivibrio and Thiomicrospira, and the mass ratio is 3:1.

[0023] Optionally, the abnormal state handling includes:

[0024] H2S concentration exceeds the limit: When the inlet H2S concentration > 500 ppm and lasts for 10 seconds, close the intake valve and start the caustic liquor spray;

[0025] Rapid decline in microbial activity: When the ATP content < 30% and the desulfurization efficiency < 70%, trigger system shutdown and alarm.

[0026] Optionally, the visualization interface of the user terminal includes:

[0027] Real-time curve: H2S concentration, valve opening, microbial activity (update frequency: once per minute);

[0028] Operation and maintenance dashboard: Equipment health score (0 - 100 points), maintenance work order list, historical trend of sulfur purity.

[0029] Optionally, the method is applicable to the following scenarios:

[0030] Biogas desulfurization: H2S concentration range 500 - 5000 ppm, gas flow rate 1000 - 10000 m 3 / h;

[0031] Refinery gas treatment: Concentration of organic sulfur (mercaptan, thioether) ≤ 200 ppm, temperature 40 - 60 °C.

[0032] Advantages of the present invention:

[0033] The present invention realizes precise regulation, efficient operation and maintenance, and resource coordination through the agent algorithm, achieving comprehensive breakthroughs in desulfurization efficiency, economy, safety and environmental protection, and providing an innovative solution for the treatment of high-sulfur industrial waste gas. Description of the Drawings

[0034] Figure 1 It is a screenshot of the desulfurization control system interface of the embodiment of the present invention. Detailed Embodiments

[0035] Next, in combination with the embodiments of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0036] As Figure 1 shown, the embodiment of the present application discloses 1. A method for regulating a biological desulfurization system based on an agent, including the following steps:

[0037] Step S1: The H2S concentration, gas flow rate, temperature, humidity and microbial activity data in the intake pipeline are collected in real time through an electrochemical H2S sensor, an infrared temperature and humidity sensor, and a microbial ATP fluorescence detector, with a sampling frequency of once every 5 minutes;

[0038] Step S2: The collected data is input into an agent based on the Deep Deterministic Policy Gradient (DDPG) algorithm, and the agent outputs an intake valve opening adjustment instruction, the amount of microbial supplement, and the equipment maintenance priority;

[0039] Step S3: The intake air volume is regulated by an electric control valve, and the valve opening adjustment range is 0-100%, with a response time ≤ 1 second;

[0040] Step S4: According to the decline rate of microbial activity ΔA / Δt and the equipment wear rate W = k·t·v 2 , (where v is the valve action frequency), an operation and maintenance report is generated and pushed to the user terminal.

[0041] Further, it is characterized in that the reward function of the DDPG algorithm is:

[0042]

[0043] Among them, the desulfurization efficiency calculation method is:

[0044]

[0045] Further, the excitation wavelength of the microbial ATP fluorescence detector is 340 nm, the detection limit is 0.1 nmol / L, and the activity threshold is set as:

[0046] Supplementary addition trigger threshold: ATP content < 60% of the initial value;

[0047] Emergency shutdown threshold: ATP content < 30% of the initial value.

[0048] Further, the equipment wear rate monitoring includes:

[0049] Valve wear detection: The current fluctuation of the valve motor is measured by a Hall sensor, and the wear coefficient W is calculated. When W > 0.8, a lubrication instruction is generated;

[0050] Pump vibration detection: An acceleration sensor (range 0-10 g) is used, and when the vibration amplitude > 5 g, a maintenance warning is triggered.

[0051] Further, the microbial supplementary addition strategy includes:

[0052] When the ATP content is between 60% and 70%, the supplementary addition amount is 50% of the reference amount;

[0053] When the ATP content is between 50% and 60%, the additional amount is 100% of the reference amount;

[0054] The additional inoculant is a composite inoculant of Thioalkalivibrio and Thiomicrospira, with a mass ratio of 3:1.

[0055] Further, the abnormal state handling includes:

[0056] Exceeding the H2S concentration limit: When the inlet H2S concentration > 500 ppm and lasts for 10 seconds, close the intake valve and start the lye spray;

[0057] Sudden drop in the activity of the microbial community: When the ATP content < 30% and the desulfurization efficiency < 70%, trigger the system to shut down and alarm.

[0058] Further, the visualization interface of the user terminal includes:

[0059] Real-time curve: H2S concentration, valve opening, microbial community activity (update frequency: once per minute);

[0060] Operation and maintenance dashboard: Equipment health score (0 - 100 points), maintenance work order list, historical trend of sulfur purity.

[0061] Further, the method is applicable to the following scenarios:

[0062] Biogas desulfurization: H2S concentration range 500 - 5000 ppm, gas flow rate 1000 - 10000 m 3 / h;

[0063] Refinery gas treatment: Concentration of organic sulfur (mercaptan, thioether) ≤ 200 ppm, temperature 40 - 60 °C.

[0064] Example 1: Biogas desulfurization in a landfill

[0065] 1. System configuration

[0066] Reactor: 50 m 3 Bioreactor, temperature 35 ± 2 °C, pH 7.5 - 8.0, the microbial community is a composite inoculant of Thioalkalivibrio versutus and Thiomicrospira crunogena (mass ratio 3:1, inoculation amount 10% v / v).

[0067] Sensors: H2S sensor (model H2S - B4, range 0 - 5000 ppm, accuracy ±1%), sampling frequency 5 minutes / time. ATP fluorescence detector (excitation wavelength 340 nm, detection limit 0.1 nmol / L).

[0068] Actuator: Electric control valve (model VLV-2000, response time ≤ 1 second, opening degree 0-100%).

[0069] 2. Agent Training

[0070] Algorithm parameters:

[0071] Algorithm parameters: DDPG algorithm, Actor network (3 layers × 256 nodes), Critic network (3 layers × 512 nodes), learning rate 0.001, discount factor 0.99.

[0072] Training data: Historical data set (100,000 groups, including H2S concentration, valve opening degree, and microbial activity).

[0073] Reward function:

[0074]

[0075] 3. Regulation effect

[0076] Index Traditional method The present invention Desulfurization efficiency 85% ± 15% (large fluctuation) 93% ± 3% (stable) Sulfur purity 80％ 92％

[0077] 4. Dynamic response test

[0078] Sudden increase in H2S concentration: The inlet concentration suddenly increases from 2000 ppm to 5000 ppm. The agent closes the valve (opening degree 100% → 0%) within 2 seconds, activates the 5% NaOH emergency spray, and the outlet concentration drops to 50 ppm within 10 seconds.

[0079] Recovery of microbial activity: When the ATP content drops from 80% to 60%, add a 3:1 composite bacterial agent (addition amount 5 kg), and the activity recovers to 75% within 24 hours.

[0080] Example 2: Refinery gas treatment (containing organic sulfur)

[0081] 1. Operating parameters

[0082] Gas composition: H2S 3000 ppm, methanethiol (CH3SH) 200 ppm, temperature 50 ± 5 °C.

[0083] Microbial type: Sulfate-reducing bacteria + Desulfomicrobium composite bacterial agent (mass ratio 2:1).

[0084] 2. Regulation effect

[0085] Index Traditional wet process The present invention Desulfurization efficiency 75％ 95％ Sulfur recovery rate 50% (sulfate) 90% (elemental sulfur) Removal rate of organic sulfur 60％ 85％

[0086] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereby. Therefore, all equivalent changes made according to the structure, shape, and principle of the present application shall be covered within the protection scope of the present application.

[0087] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principle and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A biological desulfurization system control method based on an intelligent agent, characterized in that: The following steps are involved: Step S1: The H2S concentration in the air intake pipe, gas flow rate, temperature and humidity in the reactor, and bacterial activity data in the tower are collected in real time through an electrochemical H2S sensor, an infrared temperature and humidity sensor, and a bacterial ATP fluorescence detector. The sampling frequency is once every 5 minutes. Step S2: inputting the collected data into an intelligent agent based on a deep deterministic policy gradient (DDPG) algorithm, wherein the output of the intelligent agent includes an intake valve opening adjustment instruction, a bacterial flora supplement amount, and an equipment maintenance priority; Step S3: performing air intake control through the electric control valve, the valve opening adjustment range is 0-100%, and the response time is ≤1 second; Step S4: According to the bacterial colony activity decline rate ΔA / Δt and the equipment wear rate W=k·t·v 2 , (where v is the valve action frequency), generates an operation and maintenance report and pushes it to the user terminal.

2. The method for controlling a biological desulfurization system based on an intelligent agent according to claim 1, characterized in that: The reward function of the DDPG algorithm is: Among them, the desulfurization efficiency is calculated as follows:

3. The method for controlling a biological desulfurization system based on an intelligent agent according to claim 1, characterized in that: The excitation wavelength of the bacterial ATP fluorescence detector is 340 nm, the detection limit is 0.1 nmol / L, and the activity threshold is set as: Supplementation trigger threshold: ATP content < 60% of the initial value; Emergency shutdown threshold: ATP content <30% of initial value.

4. The method for controlling a biological desulfurization system based on an intelligent agent according to claim 1, characterized in that: The equipment wear rate monitoring includes: Valve wear detection: The valve motor current fluctuation is measured by the Hall sensor, and the wear coefficient W is calculated. When W>0.8, a lubrication instruction is generated; Pump vibration detection: Using an acceleration sensor (range 0-10g), a maintenance warning is triggered when the vibration amplitude is greater than 5g.

5. The method for controlling a biological desulfurization system based on an intelligent agent according to claim 1, characterized in that: The bacterial flora supplementation strategy includes: When the ATP content is between 60% and 70%, the supplement amount is 50% of the baseline amount; When the ATP content is between 50% and 60%, the supplement amount is 100% of the base amount; The supplementary bacterial agent is a composite bacterial agent of Thioalkalivibrio and Thiomicrospira, with a mass ratio of 3:

1.

6. The method for controlling a biological desulfurization system based on an intelligent agent according to claim 1, characterized in that: The abnormal state processing includes: H2S concentration exceeds the limit: when the inlet H2S concentration is greater than 500ppm and lasts for 10 seconds, close the air inlet valve and start alkali solution spraying; Sudden drop in bacterial activity: When the ATP content is less than 30% and the desulfurization efficiency is less than 70%, the system will shut down and alarm.

7. The agent-based biodesulfurization system control method according to claim 1, characterized in that: The visual interface of the user terminal includes: Real-time curve: H2S concentration, valve opening, bacterial activity (update frequency 1 time / minute); Operation and maintenance dashboard: equipment health score (0-100 points), maintenance work order list, sulfur purity historical trend.

8. The agent-based biodesulfurization system control method according to claim 1, characterized in that: The method is applicable to the following scenarios: Biogas desulfurization: H2S concentration range 500-5000ppm, gas flow rate 1000-10000m 3 / h; Refinery gas treatment: organic sulfur (mercaptan, sulfide) concentration ≤ 200ppm, temperature 40-60℃.

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