Efficient strain real-time production process

Abstract

The invention particularly relates to an efficient real-time strain production process, and belongs to the field of water treatment technology application. An on-line intelligent feeding system used in the process comprises an efficient strain real-time production module, a multi-source sensing module and a decision control module, high-activity strains are produced in situ in real time by using raw water or sludge of a main biochemical system, and the high-activity strains are fed into the main biochemical system on the basis of multi-source sensing data such as water quality, microbial activity and water temperature. A dynamic demand index model fusing a load impact factor, a performance attenuation factor and an environmental stress factor is used for intelligently calculating the strain adding demand, and intelligent graded accurate adding is achieved. The system has the characteristics of modularization, self-adaption and closed-loop regulation and control, can effectively deal with the industrial problems of low temperature, toxicity, load impact and the like, and remarkably improves the stability and impact resistance of a main biochemical system.

Description

Technical Field

[0001] This invention belongs to the field of water treatment technology application, specifically relating to a real-time production process of highly efficient bacterial strains for improving the treatment effect of the main biological treatment system of sewage. Background Technology

[0002] Biological treatment processes, with activated sludge as their core, play a crucial role in wastewater treatment. Their operational efficiency essentially depends on the structural characteristics, metabolic activity, and stability of the microbial community. However, actual wastewater biological treatment systems often encounter multiple external disturbances, making the microbial ecosystem vulnerable to damage and leading to instability or even failure in treatment performance. Wastewater treatment systems are characterized by fluctuations in influent water quality and quantity. Affected by industrial wastewater inflows or heavy rainfall, influent flow rate, organic load, and nitrogen and phosphorus concentrations can change drastically in a short period, exceeding the microbial community's ability to adapt quickly, resulting in substandard effluent quality. The stress effects of adverse environmental conditions, such as low-temperature stress due to winter water temperature drops, toxic shocks from occasional cyanide, sulfides, organophosphates, and heterocyclic substances in industrial wastewater, and salinity shocks from seawater intrusion, can significantly weaken the metabolic activity of key functional microorganisms such as nitrifying and denitrifying bacteria, significantly reducing pollutant removal efficiency, and even causing microbial death, inducing the loss of biochemical system function.

[0003] To alleviate the aforementioned problems, conventional methods include the exogenous addition of commercial microbial agents or offline amplification culture of these agents. However, both methods have significant limitations. Using commercial microbial agents is costly, and the environmental adaptability and physiological activity of the added strains are difficult to predict; the addition methods are mostly empirical and based on constant amounts, lacking dynamic control mechanisms and making it difficult to respond promptly to rapid changes in system conditions. Offline amplification culture is complex, requires a large area, has a long cycle, and is labor-intensive; furthermore, the peak activity period of the amplified microbial community often misaligns with the actual demand for bioaugmentation in the wastewater treatment system, resulting in low synergistic efficiency and delayed response. Therefore, there is an urgent need to develop a novel "embedded" bioaugmentation technology that enables in-situ, dynamic control to overcome the limitations of traditional methods and improve the stability and resilience of biological treatment systems under complex operating conditions.

[0004] This invention provides a highly modular, intelligent, and efficient real-time microbial production process that can proactively and predictively adjust the microbial biomass and activity of the main wastewater biological treatment system to counteract internal and external interference and achieve stable and efficient operation of the existing main wastewater biological treatment system. Summary of the Invention

[0005] The primary objective of this invention is to provide a highly efficient real-time microbial strain production process, aiming to address the core pain points of existing technologies, such as high strain costs, poor adaptability, untimely addition, and inaccurate addition amounts, thereby achieving precise, automated, and optimized strain addition.

[0006] To achieve the above objectives, the technical solution provided by the present invention is as follows: A high-efficiency real-time production process for microbial strains, wherein the production process uses an online intelligent dosing system, the online intelligent dosing system comprising: a high-efficiency real-time production module for microbial strains, a multi-source sensing module, and a decision control module.

[0007] (1) High-efficiency bacterial strain real-time production module: This module uses raw water and / or sludge from the main biological treatment system to produce high-efficiency bacterial strains in situ in real time, ensuring that high-efficiency bacterial strains are available at any time according to the needs of the main biological treatment system for sewage.

[0008] (2) Multi-source sensing module: used to acquire in real time the microbial activity data of the high-efficiency strain in the real-time production module, the water quantity, water quality and microbial activity data of the main biochemical treatment system, and the real-time water temperature data.

[0009] (3) Decision control module: Calculates the data obtained by the multi-source sensing module, dynamically calculates the addition demand of high-efficiency bacteria through the dynamic demand index model, and generates corresponding control commands for the bacteria delivery pump to add the high-efficiency bacteria to the predetermined addition position in the main processing system; the dynamic demand index model integrates load impact factor, performance degradation factor and environmental stress factor; The online intelligent dosing system is configured to respond to changes in the state of the main biochemical treatment system and perform closed-loop intelligent control of the production and dosing of high-efficiency microbial strains. Specifically, the intelligent control process is as follows: based on data from the multi-source sensing module, the decision control module calculates the dosing demand index of the main biochemical treatment system for high-efficiency microbial strains in real time according to a dynamic demand index model, classifies the demand index, and then sends control commands to inject the high-efficiency microbial strains from the real-time production module into predetermined locations as needed.

[0010] The demand index for the addition of the highly efficient bacterial strain is calculated using the following dynamic demand index model: I t =(F t ×K F )+(P t ×K P )+(E t ×K E )+C The meanings of the relevant parameters are as follows: I t The demand index for highly efficient bacterial strains in the main biochemical treatment system at time t. tThe higher the value, the more urgent the main biochemical treatment system's need for highly efficient bacterial strains, and the greater the required dosage. F t : Load impact factor. This factor is used to quantify the instantaneous pressure exerted by raw water on the main biological treatment system. It is calculated based on data obtained from the multi-source sensing module, F t =[Q t ⋅C t ] / [Q design ⋅C design ], where Q t Instantaneous raw water inflow rate; C t Instantaneous raw water influent pollutant concentration; Q design Design flow; C design Design concentration of pollutants; P t : Activity attenuation factor. This factor is used to quantify the health status of functional microbial communities within the main biochemical treatment system. It is calculated by comparing data obtained from the multi-source sensing module with historical data. t =A / A t A t Real-time microbial activity, A: mean microbial activity over 0.5-1.0 months; E t Environmental stress factor. This factor considers the potential stress caused by changes in the external water temperature environment. It is calculated by predicting future temperature changes through integrated weather forecasts. t =|T t -25| / 5, where T t Predict water temperature; C: Compensation constant. Used to correct model bias and ensure a baseline dosage is maintained even in extreme cases; K F K P K E These are the weighting coefficients for the load impact factor, activity decay factor, and environmental stress factor, respectively. These coefficients need to be determined during the commissioning phase of the main biological treatment system based on the specific water quality and process parameters of different industries. K F +K P +K E =1, and can be optimized and adjusted through long-term data collection; The demand index grading method and its corresponding control instructions are as follows: I t ≤1.0: The main biochemical treatment system is operating well, maintaining the minimum dosage of highly effective bacteria or zero dosage; 1.0 t ​≤1.5: The main biochemical treatment system is in an early warning state, and the baseline dosing mode is activated. The dosage of high-efficiency microorganisms in the real-time production module is calculated based on the required replenishment amount for the reaction performance of the main biochemical treatment system. I t >1.5: The main biochemical treatment system is in alarm status, and the enhanced dosing mode is activated. High-efficiency microbial strains in the real-time production module are added at maximum flow rate.

[0011] Furthermore, the volume of the high-efficiency real-time bacterial strain production module is 1 / 20 to 1 / 10 of the volume of the main biochemical treatment system; the height-to-diameter ratio of the high-efficiency real-time bacterial strain production module is 4-10, the upward flow velocity provided by the influent is 10-20 m / h, the concentration of bacterial strains produced in the module is 7000-12000 mg / L, and the activity of the produced bacterial strains is 10-20 times that of the main biochemical treatment system.

[0012] Furthermore, the high-efficiency strain real-time production module is equipped with an aeration device. When producing aerobic strains, the decision control module controls the aeration device to turn on, and when producing anoxic or anaerobic strains, the decision control module controls the aeration device to turn off.

[0013] Furthermore, the multi-source sensing module includes three or more of the following sensing units: microbial intracellular ATP (cATP) online detector, microbial electrochemical activity detector, microbial specific oxygen consumption rate online detector, ammonia nitrogen online detector, nitrate online detector, nitrite online detection sensor, water temperature online detection sensor, DO online detector, and liquid flow meter.

[0014] Furthermore, the predetermined dosing location in the main biological treatment system is determined according to actual needs, and can be an anaerobic tank, an anoxic tank, or an aerobic tank in the main biological treatment system.

[0015] The beneficial effects of this invention include: It possesses broad applicability and flexibility; by adjusting the operating parameters of the high-efficiency microbial strain real-time production module, the same hardware platform can specifically address different needs such as denitrification, carbon removal, and degradation of recalcitrant substances, making it suitable for various wastewater types, including municipal, food, chemical, and pharmaceutical wastewater. The system supports both emergency dosing after shock events and preventative dosing based on predictive models, greatly enhancing the stability and shock resistance of the main biological treatment system. This invention achieves autonomous production and on-site application of high-efficiency microbial strains through an in-situ real-time production mode, using raw water as the culture medium, with operating costs primarily consisting of electricity consumption, far lower than purchased microbial agents. The high-efficiency microbial strains produced in this invention require no environmental acclimatization process, exhibit excellent activity maintenance performance, and can quickly alleviate the efficiency decline of the main biological treatment system caused by shocks. The dynamic demand index model in this invention integrates multi-source real-time data and possesses the ability to self-optimize through machine learning, driving precise iteration of the dosing strategy and achieving closed-loop control throughout the entire process. This invention effectively solves industry challenges such as sludge aging, low-temperature shocks, salinity shocks, and toxicity shock recovery, effectively supporting the upgrading, energy conservation, and stable operation of wastewater treatment plants. Attached Figure Description

[0016] Figure 1 A schematic diagram of an online intelligent dosing system used in a high-efficiency real-time production process of microbial strains. Figure 2 The operating results of the municipal wastewater main biological treatment system of the present invention were set under low temperature conditions. Figure 3 To determine the operational results of the main biochemical treatment system for coal chemical wastewater of this invention. Figure 4 Results of the operation of the municipal wastewater main biological treatment system under low temperature conditions Figure 5 The operating results of the main biological treatment system for coal chemical wastewater Figure Labels

[0017] 1- Real-time production module for high-efficiency microbial strains; 2- Multi-source sensing module; 3- Decision control module; 4- Main biochemical treatment system; 5- Raw water; 6- Microbial strain delivery pump; 7- Aeration device; 8- High-efficiency microbial strains. Detailed Implementation

[0018] The invention will be further described below with reference to the accompanying drawings and examples: Figure 1 A schematic diagram of an online intelligent dosing system used in the real-time production process of high-efficiency microbial strains.

[0019] The specific process of real-time production and online intelligent addition of high-efficiency bacterial strains is as follows: the real-time production module 1 of high-efficiency bacterial strains is set according to the design parameters, and then a multi-source sensing module 2 is established. The multi-source sensing module 2 transmits the acquired data to the decision control module 3. The decision control module 3 calculates the addition demand index of the main biochemical treatment system 4 for high-efficiency bacterial strains 8 in real time according to the dynamic demand index model, and classifies the demand index. Then, it sends a control command to the bacterial strain delivery pump 6 to inject the high-efficiency bacterial strains 8 in the real-time production module 1 into the predetermined position as needed. Example 1

[0020] When the water temperature is below 15℃ in winter, the nitrification performance of the aerobic tank in the main biological treatment system of municipal wastewater treatment plants decreases significantly, easily leading to the risk of excessive ammonia nitrogen in the effluent. This invention utilizes the high-efficiency microbial real-time production process to enhance the aerobic tank of the main biological treatment system in municipal wastewater treatment plants. A high-efficiency microbial real-time production module with a height-to-diameter ratio of 8 and a volume 1 / 18 of the main biological treatment system volume is constructed according to the technical solution. The influent flow velocity provided by this module is 12 m / h, the concentration of microorganisms produced within the module is 8000 mg / L, and the activity of the produced microorganisms is 20 times that of the main biological treatment system. The decision control module controls the aeration device to start. A multi-source sensing module is constructed using an online water temperature sensor, a microbial electrochemical activity detector, an online ammonia nitrogen detector, and a liquid flow meter, with a load impact factor K set. F , Activity decay factor weight K P and environmental stress factor weight K E The values ​​were 0.2, 0.4, and 0.4, respectively. As the water temperature decreased from 20-25℃ to 10-15℃, the data acquired by the multi-source sensing module from the microbial electrochemical activity detector gradually decreased to 80% of the original data, and the decision control module calculated a functional microbial inoculum addition demand index of 1.0. t ≤1.5, the main biological treatment system is in an early warning state, and the baseline dosing mode is activated. The decision control module controls the high-efficiency bacteria dosing pump to add the required amount of high-load bacteria to the aerobic tank of the main biological treatment system to supplement nitrification performance. After the bacteria are added, the main biological treatment system achieves stable nitrification, and the effluent ammonia nitrogen concentration is below 0.5 mg / L. See details for specific data. Figure 2 . Example 2

[0021] ​Coal chemical wastewater contains recalcitrant organic matter such as phenols and pyridine heterocyclic compounds, as well as toxic substances like cyanides, which can affect the denitrification performance of the main biological treatment system, causing total nitrogen levels in the effluent to exceed standards. This invention utilizes a high-efficiency real-time microbial production process to enhance the anoxic tank of the main biological treatment system for coal chemical wastewater. A high-efficiency microbial real-time production module with a height-to-diameter ratio of 10 and a volume 1 / 15 that of the main biological treatment system was constructed according to the technical plan. The influent flow velocity provided to this module was 18 m / h, and the concentration of microorganisms produced within the module was 10000 mg / L. The activity of the produced microorganisms was 18 times that of the main biological treatment system. A decision control module controlled the aeration device to shut down. A multi-source sensing module was constructed using an online microbial intracellular ATP (cATP) monitor, an online nitrate detector, and a liquid flow meter, with a load impact factor K set. F , Activity decay factor weight K P and environmental stress factor weight K E The values ​​were 0.2, 0.7, and 0.1, respectively. When microorganisms were subjected to water shock, the multi-source sensing module detected a decrease of more than 42% in the intracellular ATP (cATP) concentration of the microorganisms, and the decision control module calculated the functional strain addition demand index I. t >1.5, the main biochemical treatment system is in alarm status, initiating the enhanced dosing mode. The decision control module controls the high-efficiency bacteria dosing pump to add the maximum flow rate of high-efficiency bacteria to the anoxic tank of the main biochemical system; the multi-source sensing module detects that the intracellular ATP (cATP) concentration of microorganisms has decreased by less than 42%, and the decision control module calculates the functional bacteria dosing demand index to be 1.0. t ≤1.5, the main biological treatment system is in an early warning state, and the baseline dosing mode is activated. The decision control module controls the high-efficiency bacteria dosing pump to add the required amount of high-load bacteria to the anoxic tank of the main biological treatment system to supplement denitrification performance. After the bacteria are added, the main biological treatment system achieves stable denitrification, and the effluent nitrate concentration is below 15 mg / L. See details for specific data. Figure 3 . Comparative Example 1

[0022] The nitrification performance of the aerobic tank in the main biological treatment system of a municipal wastewater treatment plant was monitored under different temperature conditions. Comparative Example 1 did not install the online intelligent dosing system used in this invention in the main biological treatment system of the municipal wastewater treatment plant. When the water temperature decreased from 20-25℃ to 10-15℃, the treatment effect of the main biological treatment system was as follows: Figure 4 As shown. Comparative Example 2

[0023] The long-term operation of the main biological treatment system for coal chemical wastewater was monitored. Comparative Example 2 did not include the online intelligent dosing system used in this invention in its main biological treatment system for coal chemical wastewater. Under impact, the treatment effect of the main biological treatment system was as follows: Figure 5 As shown. ​

[0024] Comparative Examples 1 and 2 show that without the implementation of a high-efficiency real-time microbial strain production process, the main biological treatment system exhibits significantly reduced treatment efficiency and excessive effluent levels when subjected to low temperatures and toxicity shocks. However, when the online intelligent dosing system provided in this invention was implemented in the aerobic tank of the main biological treatment system and the anoxic tank of the main biological treatment system for toxic coal chemical wastewater in a municipal wastewater treatment plant in a cold region during winter, the results showed that after the water temperature dropped from 20-25℃ to 10-15℃, the ammonia nitrogen concentration in the effluent of the municipal wastewater treatment plant's main biological treatment system remained consistently below 0.5 mg / L; the nitrate concentration in the effluent of the toxic coal chemical wastewater's main biological treatment system was below 15 mg / L before and after the toxicity shock. The system ensured effluent compliance under both low temperature and toxicity shocks, and the performance of the main biological treatment system remained stable after the shock subsided and dosing was stopped, demonstrating strong resistance to shocks. This verifies the significant enhancement effect of this invention on maintaining the stable performance of the main biological treatment system. The high-efficiency real-time production process of microbial strains provided by this invention can effectively enhance the reaction performance of the main biochemical treatment system, solve the problems of delayed addition, poor compatibility, and high cost of traditional microbial agents, and realize on-demand quantitative and preventive intelligent supply, which can support the steady-state maintenance and rapid recovery of the system, and has extremely high engineering application value.

Claims

1. A high-efficiency real-time production process for microbial strains, wherein the production process uses an online intelligent dosing system, characterized in that: The online intelligent dosing system includes: a high-efficiency microbial real-time production module (1), a multi-source sensing module (2), and a decision control module (3); the high-efficiency microbial real-time production module (1) uses raw water (5) and / or sludge from the main biochemical treatment system (4) to produce high-efficiency microbial strains (8) in situ in real time, ensuring that high-efficiency microbial strains (8) are provided at any time according to the needs of the main biochemical treatment system (4); the multi-source sensing module (2) is used to acquire in real time the microbial activity data of the high-efficiency microbial strains (8) of the high-efficiency microbial strains (8), the water quantity, water quality and microbial activity data of the main biochemical treatment system (4), and real-time water temperature data of the high-efficiency microbial strains (8) of the high-efficiency microbial real-time production module (1); the decision control module (3) calculates the data acquired by the multi-source sensing module (2), dynamically calculates the dosing demand of high-efficiency microbial strains (8) through a dynamic demand index model, and generates corresponding control commands for the microbial transport pump (6) to add high-efficiency microbial strains (8) to the predetermined dosing position in the main treatment system (4); the dynamic demand index model integrates load impact factor, performance decay factor and environmental stress factor; The online intelligent dosing system is configured to respond to the state changes of the main biochemical treatment system (4) and perform closed-loop intelligent control of the production and dosing of high-efficiency strains (8). The specific intelligent control process is as follows: the multi-source sensing module (2) transmits the acquired data to the decision control module (3). The decision control module (3) calculates the dosing demand index of the main biochemical treatment system (4) for high-efficiency strains (8) in real time according to the dynamic demand index model, and classifies the demand index. Then, it sends a control command to the strain delivery pump (6) to inject the high-efficiency strains (8) in the high-efficiency strain real-time production module (1) into the predetermined dosing position in the main biochemical treatment system (4) as needed.

2. The high-efficiency real-time production process of microbial strains as described in claim 1, characterized in that: The addition requirement index of the highly efficient bacterial strain (8) was calculated using the following dynamic demand index model: I t =(F t ×K F )+(P t ×K P )+(E t ×K E )+ C The meanings of the relevant parameters are as follows: I t The demand index of the main biochemical treatment system (4) for the addition of highly efficient bacterial strain (8) at time t. t The higher the value, the more urgent the main biochemical treatment system (4) needs the high-efficiency strain (8), and the greater the amount required to add; F t : Load impact factor. This factor is used to quantify the instantaneous pressure exerted by the raw water (5) on the main biological treatment system (4). The calculation is performed based on the data obtained by the multi-source sensing module (2), F t =[Q t ⋅C t ] / [Q design ⋅C design ], where Q t Instantaneous raw water (5) influent flow rate; C t Instantaneous raw water (5) influent pollutant concentration; Q design Design flow; C design Design concentration of pollutants; P t : Activity decay factor. This factor is used to quantify the health status of the functional microbial community within the main biochemical treatment system (4). Based on the comparison and calculation of the data obtained by the multi-source sensing module (2) with historical data, P t =A / A t A t Real-time microbial activity, A: mean microbial activity over 0.5-1.0 months; E t Environmental stress factor. This factor considers the potential stress caused by changes in the external water temperature environment. It is calculated by predicting future temperature changes through integrated weather forecasts. t =|T t -25| / 5, where T t Predict water temperature; C: Compensation constant. Used to correct model bias and ensure a baseline dosage is maintained even in extreme cases; K F K P K E These are the weighting coefficients for the load impact factor, activity decay factor, and environmental stress factor, respectively. These coefficients need to be determined during the commissioning phase of the main biological treatment system (4) based on the specific water quality and process parameters of different industries. F +K P +K E =1, and can be optimized and adjusted through long-term data collection; The demand index grading method and its corresponding control instructions are as follows: I t ≤1.0: The main biochemical treatment system (4) is operating well, maintaining the minimum dosage or zero dosage of the highly efficient strain (8); 1.0 t ≤1.5: The main biochemical treatment system (4) is in an early warning state, and the baseline dosing mode is activated. The dosage of high-efficiency bacteria (8) in the high-efficiency bacteria real-time production module (1) is calculated according to the required reaction performance replenishment amount of the main biochemical treatment system (4);​ I t >1.5: When the main biochemical treatment system (4) is in alarm status, the enhanced dosing mode is activated. The high-efficiency bacterial strain (8) in the high-efficiency bacterial strain real-time production module (1) is added at the maximum flow rate.

3. The high-efficiency real-time production process of microbial strains as described in claim 1, characterized in that: The height-to-diameter ratio of the high-efficiency real-time bacterial strain production module (1) is 4-10, and the upward flow velocity is 10-20 m / h. Its volume is 1 / 20-1 / 10 of the volume of the main biochemical treatment system (4); the concentration of the high-efficiency strain (8) produced in the high-efficiency strain real-time production module (1) is 7000-12000 mg / L, and the activity of the high-efficiency strain (8) produced is 10-20 times that of the main biochemical treatment system (4).

4. The high-efficiency real-time production process of microbial strains as described in claim 1, characterized in that: The multi-source sensing module (2) includes three or more of the following sensing units: microbial intracellular ATP (cATP) online detector, microbial electrochemical activity detector, microbial specific oxygen consumption rate online detector, ammonia nitrogen online detector, nitrate online detector, nitrite online detection sensor, water temperature online detection sensor, DO online detector, and liquid flow meter.

5. The high-efficiency real-time production process of microbial strains as described in claim 1, characterized in that: The predetermined dosing locations in the main biochemical treatment system (4) are the anaerobic tank, anoxic tank, or aerobic tank.

6. The high-efficiency real-time production process of microbial strains as described in claim 1, characterized in that: An aeration device (7) is installed in the high-efficiency strain real-time production module (1), and the aeration device (7) is turned on or off by the decision control module (3).

Images