CN-121990686-A - Efficient strain real-time production process

Abstract

The invention particularly relates to a high-efficiency strain real-time production process, and belongs to the field of application of water treatment technology. The online intelligent adding system used by the process comprises a high-efficiency strain real-time production module, a multi-source sensing module and a decision control module, wherein high-activity strains are produced in situ and in real time by utilizing raw water or sludge of a main biochemical system, and the adding demands of the strains are intelligently calculated by using a dynamic demand index model integrating load impact factors, performance attenuation factors and environmental stress factors based on multi-source sensing data such as water quality, microbial activity and water temperature, so that intelligent grading accurate adding is realized. The system has the characteristics of modularization, self-adaption and closed-loop regulation and control, can effectively solve the industrial problems of low temperature, toxicity, load impact and the like, and remarkably improves the stability and the impact resistance of the main biochemical system.

Inventors

• LI HAISONG
• YAN DENGKE
• HU PEIJI
• FAN YANYAN
• CAO WANG
• GU MANFEI
• LI TONG

Assignees

• 知和环保科技有限公司

Dates

Publication Date

20260508

Application Date

20260325

Claims (6)

1. 1. The production process is characterized by comprising a high-efficiency strain real-time production module (1), a multi-source perception module (2) and a decision control module (3), wherein the high-efficiency strain real-time production module (1) utilizes raw water (5) and/or sludge from a main biochemical treatment system (4) to produce the high-efficiency strain (8) in situ in real time, so as to ensure that the high-efficiency strain (8) is provided at any time according to the requirements of the sewage main biochemical treatment system (4), the multi-source perception module (2) is used for acquiring microbial activity data of the high-efficiency strain (8) of the high-efficiency strain real-time production module (1), water quantity, water quality and microbial activity data of the main biochemical treatment system (4) and real-time water temperature data in real time, and the decision control module (3) calculates the data acquired by the multi-source perception module (2), dynamically calculates the adding requirements of the high-efficiency strain (8) through a dynamic demand index model, and generates corresponding control instructions for a strain delivery pump (6), and adds the high-efficiency strain (8) to the preset impact factor of the main biochemical treatment system (4), and the dynamic demand factor is fused with the dynamic impact factor; The online intelligent adding system is configured to respond to the state change of the main biochemical treatment system (4) and carry out closed-loop intelligent regulation and control on the production and adding of the high-efficiency strains (8), and the specific intelligent regulation and control process is that the multi-source sensing module (2) transmits acquired data to the decision control module (3), the decision control module (3) calculates the adding requirement index of the main biochemical treatment system (4) on the high-efficiency strains (8) in real time according to a dynamic requirement index model, sorts the requirement indexes, and then sends a control instruction to the strain conveying pump (6) to inject the high-efficiency strains (8) in the high-efficiency strain real-time production module (1) into the preset adding position in the main biochemical treatment system (4) according to the requirement.
2. 2. The process for producing the efficient strain in real time according to claim 1, wherein the adding demand index of the efficient strain (8) is calculated by the following dynamic demand index model: I t =(F t ×K F )+(P t ×K P )+(E t ×K E )+ C The representative meaning of the relevant parameters is: And I t , adding a demand index to the efficient strain (8) at the time t by the main biochemical treatment system (4). The higher the I t value is, the more urgent the main biochemical treatment system (4) needs the high-efficiency strain (8), and the larger the required adding amount is; And F t , load impact factor. This factor is used to quantify the instantaneous pressure of the raw water (5) on the main biochemical treatment system (4). Accounting is carried out according to the data obtained by the multi-source sensing module (2), wherein the Q t instantaneous raw water (5) inflow rate, the C t instantaneous raw water (5) inflow pollutant concentration, the Q design design flow rate and the C design pollutant design concentration are carried out; P t an activity decay factor. The factor is used to quantify the health status of the functional flora in the main biochemical treatment system (4). Comparing and accounting according to the data obtained by the multi-source perception module (2) and historical data, wherein the data is P t =A/A t , the real-time microbial activity of A t and the average value of the microbial activity of A0.5-1.0 month; E t environmental stress factor. This factor accounts for potential pressures caused by changes in the external water temperature environment. Accounting is carried out by predicting future temperature change through integrated weather forecast, wherein T t predicts water temperature; And C, compensating constant. The method is used for correcting model deviation and ensuring that basic addition amount still exists under extreme conditions; K F ,K P ,K E is the weight coefficient of the load impact factor, the activity attenuation factor and the environment stress factor respectively. The coefficients need to be determined according to specific water quality and process parameters of different industries in the debugging stage of the main biochemical treatment system (4), K F +K P +K E =1, and can be optimally adjusted through long-term data collection; The demand index grading method and the corresponding control instruction thereof are as follows: I t is less than or equal to 1.0, the main biochemical treatment system (4) works well, and the minimum adding amount or zero adding amount of the high-efficiency strain (8) is maintained; 1.0< I t < 1.5 > the main biochemical treatment system (4) early warning state, and starting a reference dosing mode. The adding amount of the high-efficiency strain (8) in the high-efficiency strain real-time production module (1) is calculated according to the reaction performance supplementing amount required by the main biochemical treatment system (4); I t is more than 1.5, and the main biochemical treatment system (4) is in an alarm state, and a reinforced adding mode is started. The high-efficiency strain (8) in the high-efficiency strain real-time production module (1) is added according to the maximum flow.
3. 3. The efficient strain real-time production process according to claim 1, wherein the efficient strain real-time production module (1) has an aspect ratio of 4-10, an ascending flow rate of 10-20 m/h, a volume of 1/20-1/10 of the volume of the main biochemical treatment system (4), the concentration of the efficient strain (8) produced in the efficient strain real-time production module (1) is 7000-12000 mg/L, and the activity of the produced efficient strain (8) is 10-20 times that of the main biochemical treatment system (4).
4. 4. The process for producing the high-efficiency strain in real time according to claim 1, wherein the multi-source sensing module (2) comprises three or more sensing units of a microbial intracellular ATP (cATP) on-line detector, a microbial electrochemical activity detector, a microbial specific oxygen consumption rate on-line detector, an ammonia nitrogen on-line detector, a nitrate on-line detector, a nitrite on-line detection sensor, a water temperature on-line detection sensor, a DO on-line detector and a liquid flowmeter.
5. 5. The process for producing high-efficiency strains in real time according to claim 1, wherein the predetermined adding position in the main biochemical treatment system (4) is an anaerobic tank, an anoxic tank or an aerobic tank.
6. 6. The efficient strain real-time production process as claimed in claim 1, wherein an aeration device (7) is arranged in the efficient strain real-time production module (1), and the decision control module (3) controls the opening or closing of the aeration device (7).

Description

Efficient strain real-time production process Technical Field The invention belongs to the field of application of water treatment technology, and in particular relates to a high-efficiency strain real-time production process for improving the treatment effect of a sewage main biochemical system. Background The biological treatment process using the activated sludge process as a core occupies a key position in the sewage treatment process, and the operation efficiency of the biological treatment process is essentially dependent on the structural characteristics, metabolic activity and stability of microbial communities. However, the actual running sewage biological treatment system often suffers multiple external disturbances, so that the microbial ecological system is easily damaged, and unstable treatment performance and even failure are caused. The sewage treatment system has the characteristics of water quality and water quantity fluctuation, is influenced by industrial wastewater collection or heavy rainfall and the like, and the water inflow speed, organic load and nitrogen and phosphorus concentration can be changed drastically in a short time, and exceed the capability range of rapid adaptation of a microbial community, so that the water quality of the water is not up to standard. The stress effect of unfavorable environmental conditions, such as low temperature stress caused by water temperature reduction in winter, toxic substances such as cyanide, sulfide, organic phosphorus, heterocyclic substances and the like which are present in industrial wastewater sporadically cause toxic substance impact, and salt impact caused by seawater backflow can obviously weaken the metabolic activity of key functional microorganisms such as nitrifying bacteria, denitrifying bacteria and the like, obviously reduce the pollutant removal efficiency, even cause microorganism death and induce the loss of functions of a biochemical system. In order to alleviate the above problems, conventional means are to add commercial bacterial agents exogenously or to conduct bacterial agent amplification culture under off-line conditions. However, there are significant limitations to both of these approaches. The application cost of the commercial microbial inoculum is high, the environmental adaptability and the physiological activity of the added strain are difficult to predict, the addition mode is mostly empirically constant addition, a dynamic regulation mechanism is lacked, and the quick response to the rapid change of the system state is difficult to respond in time. The offline amplification culture operation is complex, the occupied area is large, the period is long, the labor intensity is high, and the activity peak period of the amplified culture flora is often misplaced with the actual demand period of the sewage treatment system for biological enhancement, so that the synergy efficiency is low and the response is lagged. In view of this, there is a need to develop a new "embedded" bio-enhancement technology capable of achieving in-situ and dynamic regulation, so as to break through the limitation of the conventional method and improve the stability and impact resistance of the bio-processing system under complex working conditions. The invention provides a highly modularized and intelligent high-efficiency strain real-time production process, which can actively and predictively adjust the microbial biomass and microbial activity of a main sewage biochemical treatment system so as to resist internal and external interference and realize the stable and efficient operation of the traditional main sewage biochemical treatment system. Disclosure of Invention The primary aim of the invention is to provide a high-efficiency real-time strain production process, which aims at solving the core pain points of high strain cost, poor adaptability, untimely addition and inaccurate addition amount in the prior art and realizing the accurate, automatic and optimal strain addition. In order to achieve the above purpose, the technical scheme provided by the invention is as follows: The production process uses an online intelligent adding system, and the online intelligent adding system comprises a high-efficiency strain real-time production module, a multi-source sensing module and a decision control module. (1) The module utilizes raw water and/or sludge from the main biochemical treatment system to produce the high-efficiency strain in situ and in real time, thereby ensuring that the high-efficiency strain is provided at any time according to the requirements of the sewage main biochemical treatment system. (2) The multi-source perception module is used for acquiring microbial activity data of the high-efficiency strain real-time production module in real time, and water quantity, water quality and microbial activity data and real-time water temperature data of the main biochemical treatment system. (3) The decision control module is