Self-adaptive microbial evolution system based on PLC
By integrating cultivation, monitoring, stress application, and automatic operation modules, the PLC-based adaptive microbial evolution system solves the problems of time-consuming, labor-intensive, and poor reproducibility of traditional microbial enrichment and screening methods, and realizes efficient automated microbial domestication and screening, which is suitable for environmental remediation and industrial manufacturing.
Patent Information
- Application Number
- CN202511567011.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-30
- Publication Date
- 2026-02-06
AI Technical Summary
Traditional methods for microbial enrichment, domestication, and screening rely on manual operation, which is time-consuming and labor-intensive. The experimental results have poor reproducibility and stability, and there is a lack of integrated solutions for the entire process of domestication and screening, especially in terms of long-term adaptive domestication and high-throughput screening.
An adaptive microbial evolution system based on PLC is adopted, which integrates a culture module, an online monitoring module, a pressure application module, an automatic operation module, and an intelligent control unit to realize continuous culture, real-time monitoring, automatic decision-making, and closed-loop control of microorganisms. Automated domestication and high-throughput screening are carried out through microreactor arrays and multi-parameter monitoring systems.
An automated platform for microbial enrichment, targeted domestication, and high-throughput screening has been developed, improving the reproducibility and stability of experiments. It is applicable to environmental bioremediation, industrial biomanufacturing, and agricultural microbial preparation development, enabling the acquisition of high-performance microbial strains.
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Figure CN121472009A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of microbial cultivation, and in particular to a self-adaptive microbial evolution system based on PLC. BACKGROUND
[0002] Microbial automated enrichment, directional domestication and efficient screening technology have key significance in the fields of environmental remediation, industrial biological manufacturing and agricultural microbial preparation development. Through enrichment and domestication, functional strains adapted to specific environments or with enhanced functions can be obtained, and efficient screening is a necessary means to identify high-quality strains from complex microbial communities.
[0003] Currently, the field mainly relies on manual operation of domestication and screening processes. Traditional domestication methods require researchers to manually perform serial subculture, gradually increasing environmental stress; the screening process relies on manual picking of single colonies and manual performance testing. These methods are not only time-consuming and labor-intensive, but also due to human operation differences, the repeatability and stability of experimental results are difficult to guarantee.
[0004] Although the application of automation technology in microbial research has made some progress, existing equipment mainly focuses on single function implementation, lacking a whole-process solution integrating domestication and screening. Especially in long-term adaptive domestication, the construction of a special system capable of realizing closed-loop control, real-time monitoring and automatic decision-making is slow; in high-throughput screening, existing platforms often lack organic connection with the domestication process, making it difficult to realize continuous and efficient development from microbial community to single strain.
[0005] Therefore, a new solution is needed to solve the above problems, and therefore we propose a self-adaptive microbial evolution system based on PLC. SUMMARY
[0006] The purpose of the present application is to provide a self-adaptive microbial evolution system based on PLC to solve the problems raised in the background art.
[0007] In order to solve the above technical problems, the present application adopts the following technical solutions:
[0008] A self-adaptive microbial evolution system based on PLC, comprising at least one culture module, one pressure application module, one online monitoring module, one automatic operation module and one intelligent control unit;
[0009] The culture module comprises at least one bioreactor equipped with 1 standard Ingold interface, a dedicated optical sensor interface and an exhaust duct interface for continuous cultivation of microorganisms;
[0010] The online monitoring module includes pH sensor, dissolved oxygen sensor and optical density sensor installed in the bioreactor through the interface, temperature sensor integrated in the reactor wall, and gas flow sensor and gas composition analyzer arranged on the exhaust pipeline;
[0011] The pressure applying module includes precision injection pump and stress factor storage tank connected with the bioreactor through sterile silicone pipeline, and gas environment regulating unit connected with the bioreactor aeration system through mass flow controller;
[0012] The automatic operation module includes electromagnetic valve group and liquid transmission pump connected with the bioreactor through PTFE pipeline;
[0013] The intelligent control unit includes programmable logic controller connected with each sensor through shielded cable and connected with each actuator through control cable, and upper computer communicating with the PLC through industrial Ethernet.
[0014] Preferably, the culture module includes microreactor array composed of multiple bioreactors, each of which is independently equipped with mechanical stirring system, jacket temperature control system with control accuracy of ±0.5℃, microporous aeration system with aeration amount adjustment range of 0.1-2.0vvm, Ingold sensor interface and special optical sensor interface;
[0015] The PLC controls the start and stop of the stirring motor through its digital output module, and controls the regulating valve of the temperature control system through its analog output module, so as to realize accurate and continuous adjustment of the culture temperature.
[0016] Preferably, each type of sensor of the online monitoring module adopts 4-20mA analog signal output, and is connected to the analog input module of the PLC through shielded cable;
[0017] The pH sensor has a measurement range of 2-14 and an accuracy of ±0.1; the dissolved oxygen sensor has a measurement range of 0-100% and an accuracy of ±1%, both of which are directly immersed in the culture solution through Ingold interface; the optical density sensor is directly immersed in the culture solution through the special optical interface at the top of the bioreactor, has a measurement range of 0-100OD and an accuracy of ±2%; the temperature sensor adopts Pt100 platinum resistance, has a measurement range of 0-150℃ and an accuracy of ±0.1℃; the gas flow sensor and the gas composition analyzer are installed on the exhaust pipeline through the gas path interface, the gas flow sensor has a measurement range of 0-5L / min and an accuracy of ±1.5%FS, and the gas composition analyzer simultaneously monitors O2 and CO2 concentration with an accuracy of ±0.2%.
[0018] Preferably, the pressure application module for liquid phase includes a precision syringe pump which receives a 4-20 mA flow setting signal from the PLC analog output module through its control interface, and is connected by sterile silicone pipelines to a chemical stress factor storage tank for applying selective pressure, an antibiotic, heavy metal or organic solvent; an acid-base adjustment storage tank for precise pH control; and a nutrient feed storage tank for maintaining the nutrients required for microbial growth.
[0019] Preferably, the pressure application module for gas phase includes an MFC connected to the PLC module, with a control accuracy of ±1% FS, which receives a 4-20 mA setting signal from the PLC analog output module through its control interface to accurately control the mixing ratio of air, O2, N2, and CO2; the gas mixing unit is made of 316L stainless steel, and its outlet is connected to the bottom aeration head of the bioreactor through a sterile filter; by adjusting the composition and flow of the mixed gas, the programmed control of the dissolved oxygen sensor concentration is achieved.
[0020] Preferably, the electromagnetic valve group of the automatic operation module receives the on-off signal of the PLC through the digital output module to control the on-off of the liquid circuit.
[0021] The liquid transfer pump receives a 4-20 mA flow setting signal from the PLC analog output module through its control interface to achieve precise and continuous adjustment of the transfer flow; when the optical density sensor detects that the concentration of the bacterial solution reaches the set threshold, the PLC starts the automatic subculture process according to the preset program, completing the complete subculture operation including sampling, quantitative dilution, medium replacement, and re-inoculation.
[0022] Preferably, the PLC has multiple PID control algorithms pre-installed inside, which are used to control the culture temperature by adjusting the jacket temperature control valve, maintain the pH set value by controlling the acid-base addition pump, and keep the dissolved oxygen concentration by regulating the MFC; the parameters of each control loop are set by the upper computer and automatically adjusted according to the stage of the microorganism.
[0023] Preferably, the upper computer and the PLC cooperate to form an intelligent control closed loop: the upper computer runs a learning algorithm, adjusts the control strategy of the system in real time by recording and analyzing the metabolic change rules in the past domestication data, and sends control instructions to the PLC through industrial Ethernet; the PLC is responsible for executing specific control actions, including signal acquisition, logical judgment, and driving device operation, while real-time data is transmitted back to the upper computer.
[0024] Preferably, the microreactor array is designed in a modular manner to expand its scale by adding control modules and reaction units.
[0025] Each of the reaction units is equipped with an independent safety monitoring circuit; the experiment database built by the upper computer adopts a time-sequential storage mode, and completely saves sensor original data, actuator operation records and algorithm decision parameters.
[0026] It can be seen without doubt that the technical problems to be solved by the present application can be solved by the above technical solutions.
[0027] Meanwhile, by the above technical solutions, the present application has at least the following beneficial effects:
[0028] The present application builds a closed-loop automation platform integrating microbial enrichment, directional domestication and high-throughput screening by integrating a micro-reactor array, an online multi-parameter monitoring system and a PLC, aiming to effectively solve the problems of large manual operation ratio, insufficient environmental control precision and poor experimental repeatability in traditional microbial enrichment, domestication and screening methods, and the present application can be applied to the fields of environmental biological remediation, industrial biological manufacturing and agricultural microbial preparation development, etc. BRIEF DESCRIPTION OF DRAWINGS
[0029] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced as follows. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.
[0030] Figure 1 It is a PLC control schematic diagram of the present application.
[0031] In the drawings, the component list represented by each number is as follows:
[0032] In the drawings, 1 is fresh culture medium; 2 is an acid liquid tank; 3 is an alkali liquid tank; 4 is a chemical stress factor storage tank; 5 is a nutrient feed tank; 6, 7, 8, 9, 10, 35 and 38 are peristaltic pumps; 11, 12, 13, 14, 15, 22, 36 and 39 are check valves; 16 and 17 are gas cylinders; 16a, 17a and 34 are electromagnetic valves; 18 is a mass flow controller 1; 19 is a mass flow controller 2; 20 is a mixed gas tank; 21 is a gas pump; 23 is an aeration head; 24 is stirring control; 25 is a DO Ingold interface; 26 is a temperature probe; 27 is a pH Ingold interface; 28 is a physical sensor integration (stirrer, DO, temperature, pH); 29 is a special optical sensor interface; 30 is an immersion OD sensor; 31 is a gas path interface; 32 is a gas flow sensor; 33 is a gas component analyzer; and 37 is a waste liquid tank. DETAILED DESCRIPTION
[0033] In order to make the purpose, technical solutions and advantages of the present application more clear, the present application is further described in detail below in combination with the drawings and examples. It should be understood that the specific examples described herein are only used to explain the present application and do not limit the present application.
[0034] Embodiment
[0035] Reference Figure 1 A PLC-based adaptive microbial evolution system includes at least one culture module, one pressure application module, one online monitoring module, one automatic operation module, and one intelligent control unit.
[0036] The culture module is the main place for enrichment, domestication and screening reaction of microorganisms, including at least one bioreactor equipped with a standard Ingold interface, a special optical sensor interface, and an exhaust pipeline interface for continuous culture of microorganisms; the online monitoring module includes pH sensors, DO sensors and OD sensors installed in the bioreactor through the interface, temperature sensors integrated in the reactor wall, and gas flow sensors and gas component analyzers arranged on the exhaust pipeline; the pressure application module includes a precision syringe pump and a stress factor storage tank connected to the bioreactor through a sterile silicone tube, and a gas environment regulation unit connected to the bioreactor aeration system through an MFC; the automatic operation module includes a solenoid valve group and a liquid transfer pump connected to the bioreactor through a PTFE tube; the intelligent control unit includes a PLC connected to each sensor through a shielded cable, and an upper computer communicating with the PLC through an industrial Ethernet. The PLC is configured to collect 4-20 mA sensor signals in real time, execute control instructions or preset algorithms, and drive each actuator to realize a continuous running "monitoring-decision-execution-learning" automated domestication closed loop.
[0037] The culture module includes a microreactor array composed of multiple bioreactors, each of which is independently equipped with a mechanical stirring system; a jacket temperature control system with a control accuracy of ±0.5℃; a microporous aeration system with a ventilation adjustment range of 0.1-2.0vvm; a standardized Ingold sensor interface and a special optical sensor interface. The PLC controls the start and stop of the stirring motor through its digital output module; at the same time, it controls the regulating valve of the temperature control system through its analog output module to realize accurate and continuous adjustment of the culture temperature.
[0038] The various sensors included in the online monitoring module all output 4-20 mA analog signals, which are connected to the analog input module of the PLC through shielded cables; the pH sensor has a measurement range of 2-14 and an accuracy of ±0.1; the DO sensor has a measurement range of 0-100% and an accuracy of ±1%, both of which are directly immersed in the culture solution through an Ingold interface; the OD sensor is directly immersed in the culture solution through a special optical interface at the top of the bioreactor, has a measurement range of 0-100 OD, and an accuracy of ±2%; the temperature sensor is a Pt100 platinum resistor, has a measurement range of 0-150°C, and an accuracy of ±0.1°C; the gas flow sensor and the gas composition analyzer are installed in the exhaust pipeline through a gas interface, the former has a measurement range of 0-5 L / min and an accuracy of ±1.5% FS, and the latter simultaneously monitors the concentrations of O2 and CO2 with an accuracy of ±0.2%. All sensor signals are subjected to unified digital filtering, engineering value conversion, and data verification in the PLC.
[0039] The pressure application module for the liquid phase includes a precision syringe pump with a resolution of not less than 0.5% FS, which receives a 4-20 mA flow setting signal from the analog output module of the PLC through its control interface, and is connected by sterile silicone pipelines to chemical stress factor storage tanks for storing antibiotics, heavy metals, or organic solvents for applying selective pressure; acid-base adjustment storage tanks for precise pH control; and nutrient feed storage tanks for maintaining the nutrients required for microbial growth.
[0040] The pressure application module for the gas phase is connected to the PLC module, has a control accuracy of ±1% FS, and receives a 4-20 mA setting signal from the analog output module of the PLC through its control interface to accurately control the mixing ratio of air, O2, N2, and CO2; the gas mixing unit is made of 316L stainless steel; its outlet is connected to the bottom aeration head of the bioreactor through a sterile filter; by adjusting the composition and flow of the mixed gas, the DO concentration is programmed.
[0041] The solenoid valve group of the automatic operation module receives the on-off signals of the PLC through the digital output module to control the on-off of the liquid circuit; the liquid transfer pump receives a 4-20 mA flow setting signal from the analog output module of the PLC through its control interface to achieve precise and continuous adjustment of the transfer flow; when the OD sensor detects that the concentration of the bacterial solution reaches the set threshold, the PLC starts the automatic subculture process according to the pre-set program, completing the complete subculture operation including sampling, quantitative dilution, medium replacement, and re-inoculation.
[0042] The PLC has multiple PID control algorithms pre-installed inside, which are used to control the culture temperature by adjusting the jacket temperature control valve, maintain the pH set value by controlling the acid-base addition pump, and keep the dissolved oxygen concentration by regulating the MFC; the parameters of each control loop are set by the upper computer and can be automatically adjusted according to the stage of the microorganism.
[0043] The host computer and the PLC cooperate with each other to form an intelligent regulation and control closed loop: the host computer runs a learning algorithm, adjusts the regulation strategy of the system in real time through recording and analyzing the metabolic change law in the past domestication data, and sends control instructions to the PLC through an industrial Ethernet; the PLC is responsible for executing specific control actions, such as collecting signals, making logical judgments and driving equipment to run, and simultaneously returns running data to the host computer in real time, thereby forming an automatic'monitoring-decision-execution-learning' domestication cycle that can adjust itself and continuously optimize.
[0044] The micro-reactor array of the system adopts a modular design, which facilitates the expansion of its scale by adding control modules and reaction units. Each reaction unit is equipped with an independent safety monitoring circuit, and if the culture parameters such as temperature, pressure, pH and OD value of a certain unit are abnormal, the PLC will immediately isolate it to ensure the normal operation of other units. A perfect three-level alarm mechanism is provided in the system control program, which can start pre-warning, production-limiting protection or emergency shutdown measures according to the degree of parameter abnormality. The experimental database built by the host computer adopts a time-sequential storage method, which can completely save sensor raw data, actuator operation records and algorithm decision parameters to form a set of digital experimental archives that can be traced throughout the process.
[0045] From the above, it can be seen that:
[0046] The present application aims at the technical problem: the traditional domestication method requires researchers to manually perform sequential subculture, gradually increasing the environmental pressure; the screening process mainly relies on manual picking of single colonies and manual performance testing. These methods not only consume time and effort, but also due to human operation differences, the repeatability and stability of experimental results are difficult to guarantee. Although the application of automation technology in microbial research has made certain progress, existing equipment mainly focuses on single function implementation, and lacks a whole-process solution integrating domestication and screening. Especially in long-term adaptive domestication, the construction of a special system capable of realizing closed-loop control, real-time monitoring and automatic decision-making is slow; and in high-throughput screening, existing platforms often lack organic connection with the domestication process, making it difficult to realize continuous and efficient development from microbial flora to single strain. The technical solutions of the above embodiments are adopted. At the same time, the implementation process of the above technical solutions is:
[0047] After the device is started, fresh culture medium is first injected into the bioreactor and the strain is inoculated. The online monitoring module then starts to work: the pH and DO sensors immersed in the liquid phase continuously collect the environmental pH and oxygen content, reflecting the microbial metabolic activity and respiratory intensity, the gas flow sensor at the exhaust end measures the total flow of the exhaust gas, and the gas composition analyzer analyzes O2 and CO2 in the exhaust gas to calculate OUR and CER, which are used as a "window" to observe the metabolic state of the microorganism, and the OD sensor monitors the concentration of the bacteria in real time. When the OD value reaches the preset threshold, the intelligent control unit immediately performs automatic operation module to accurately execute quantitative subculture (equal volume replacement, if 10 ml of target bacterial solution is taken out from the bioreactor, 10 ml of fresh culture medium is added), and the target bacterial solution taken out is transferred to the next bioreactor for directional acclimation (single enrichment operation is completed). The intelligent control unit receives the directional acclimation target, dynamically adjusts the stress factor concentration and environmental parameters (inlet gas composition and flow, pH value, temperature, etc.) according to the real-time metabolic activity (OD value, pH value, DO, oxygen consumption rate OUR, carbon dioxide release rate CER, respiratory quotient RQ), and realizes the programmed increase of the selection pressure through the pressure application module. This process is sequentially run in the array reactor, and the target object tolerance is gradually improved from low to high through n generations of subculture (acclimation operation is completed). Samples are taken from the acclimated bacterial population, n single colonies are obtained through the automatic plate isolation device (the automatic plate isolation device is a known device), and then they are inoculated into the microreactor array for parallel culture under the same pressure conditions (pH, OD, etc. are kept consistent). The online monitoring module automatically outputs the growth curve (OD value, OUR, etc.) to reflect the target degradation effect, and finally the optimal strain is selected. In the complete process, the OD value and the OUR / CER value are low, at which time the growth state of the microorganism is abnormal; the pH and temperature are severely out of balance or the DO tends to 0, at which time the culture environment is out of control; and the stirring stops, the pressure is abnormal, and other hardware failures will trigger the bioreactor to empty the current reactants into the waste tank for subsequent treatment.
[0048] Through the above settings, the technical problems can be solved, and the following technical effects can be achieved:
[0049] The present application integrates a microreactor array, an online multi-parameter monitoring system and a PLC to build a closed-loop automated platform integrating microbial enrichment, directional acclimation and high-throughput screening functions, which effectively solves the problems of large manual operation ratio, insufficient environmental control precision and poor experimental repeatability in traditional microbial enrichment, acclimation and screening methods. The present application can be applied to the fields of environmental biological remediation, industrial biological manufacturing and agricultural microbial preparation development, which require efficient acquisition of high-performance microbial strains.
[0050] In this application, unless otherwise clearly indicated and limited, the terms "mounting", "connection", "connecting", "fixed", and the like should be understood broadly, for example, can be fixed connection, can also be detachable connection, or integral; can be mechanical connection, can also be electrical connection or communication with each other; can be directly connected, can also be indirectly connected through an intermediate medium, can be the internal communication of two elements or the interaction relationship between two elements, unless otherwise clearly limited. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.
[0051] Obviously, the above-described embodiments are only a part of the embodiments of the present application, and are not all the embodiments. The preferred embodiments of the present application are shown in the drawings, but do not limit the patent scope of the present application. The present application can be realized in many different forms, and conversely, the purpose of providing these embodiments is to make the disclosure of the present application more thorough and comprehensive. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions recorded in the foregoing specific embodiments, or make equivalent substitutions for part of the technical features. Any equivalent structure made by using the content of the present application specification and drawings, directly or indirectly applied to other related technical fields, is also within the patent protection scope of the present application.
Claims
1. A PLC-based adaptive microorganism evolution system, characterized by, The system comprises at least one culture module, one pressure exerting module, one online monitoring module, one automatic operation module and one intelligent control unit. The culture module comprises a bioreactor equipped with at least one standard Ingold interface, a special optical sensor interface and an exhaust pipeline interface for continuous culture of microorganisms. The online monitoring module comprises pH sensors, dissolved oxygen sensors and optical density sensors installed in the bioreactor through the interface, temperature sensors integrated in the reactor wall, and gas flow sensors and gas composition analyzers arranged on the exhaust pipeline. The pressure exerting module comprises a precision syringe pump and a stress factor storage tank connected to the bioreactor through a sterile silicone pipeline, and a gas environment regulating unit connected to the bioreactor aeration system through a mass flow controller. The automatic operation module comprises a solenoid valve group and a liquid transfer pump connected to the bioreactor through a PTFE pipeline. The intelligent control unit comprises a programmable logic controller connected to each sensor through a shielded cable and to each actuator through a control cable, and an upper computer communicating with the PLC through an industrial Ethernet.
2. The PLC-based adaptive microorganism evolution system according to claim 1, wherein, The culture module comprises a microreactor array composed of multiple bioreactors, each independently equipped with a mechanical stirring system, a jacket temperature control system with a control accuracy of ±0.5℃, a microporous aeration system with a ventilation adjustment range of 0.1-2.0vvm, an Ingold sensor interface and a special optical sensor interface. The PLC controls the start and stop of the stirring motor through its digital output module, and controls the regulating valve of the temperature control system through its analog output module to realize precise and continuous adjustment of the culture temperature.
3. The PLC-based adaptive microorganism evolution system of claim 1, wherein, The sensors of the online monitoring module output 4-20mA analog signals, which are input into the analog input module of the PLC through shielded cables. The pH sensor has a measurement range of 2-14 and an accuracy of ±0.1, the dissolved oxygen sensor has a measurement range of 0-100% and an accuracy of ±1%, both of which are directly immersed in the culture solution through the Ingold interface; the optical density sensor is directly immersed in the culture solution through the special optical interface at the top of the bioreactor, with a measurement range of 0-100 OD and an accuracy of ±2%; the temperature sensor uses a Pt100 platinum resistor, with a measurement range of 0-150℃ and an accuracy of ±0.1℃; the gas flow sensor and the gas composition analyzer are installed on the exhaust pipeline through the gas pipeline interface, the gas flow sensor has a measurement range of 0-5L / min and an accuracy of ±1.5%FS, and the gas composition analyzer simultaneously monitors the concentrations of O2 and CO2 with an accuracy of ±0.2%.
4. The PLC-based adaptive microorganism evolution system of claim 1, wherein, The pressure exerting module for liquid phase comprises a precision syringe pump receiving a 4-20mA flow setting signal from the analog output module of the PLC through its control interface, and sterile silicone pipelines connecting the following: a chemical stress factor storage tank storing antibiotics, heavy metals or organic solvents for exerting selective pressure; an acid-base adjusting storage tank for precise pH control; a nutrient supplement storage tank for maintaining the nutrients required for microbial growth.
5. The PLC-based adaptive microorganism evolution system of claim 4, wherein, The pressure applying module is connected with the PLC module for the gas phase, and the control precision is ±1%FS. The 4-20 mA setting signal from the PLC analog output module is received through the control interface to accurately control the mixing ratio of air, O2, N2 and CO2. The gas mixing unit is made of 316L stainless steel, and the outlet is connected with the bottom aeration head of the bioreactor through a sterile filter. By adjusting the components and flow of the mixed gas, the programmed control of the dissolved oxygen sensor concentration is realized.
6. The PLC-based adaptive microorganism evolution system of claim 2, wherein, The electromagnetic valve group of the automatic operation module receives the switching signal of the PLC through the digital output module to control the on-off of the liquid circuit. The liquid transmission pump receives the 4-20 mA flow setting signal from the PLC analog output module through the control interface to realize the accurate continuous adjustment of the transmission flow. When the optical density sensor detects that the concentration of the bacterial liquid reaches the set threshold, the PLC starts the automatic subculture process according to the preset program to complete the complete subculture operation including sampling, quantitative dilution, medium replacement and re-inoculation.
7. The PLC-based adaptive microorganism evolution system of claim 6, wherein, The PLC internally presets a multi-channel PID control algorithm, which is respectively used to control the culture temperature by adjusting the jacket temperature control valve, maintain the pH set value by controlling the acid-base addition pump, and keep the dissolved oxygen concentration by adjusting the MFC. The parameters of each control loop are set by the upper computer and automatically adjusted according to the stage of the microorganism.
8. The PLC-based adaptive microorganism evolution system of claim 7, wherein, The upper computer and the PLC cooperate with each other to form an intelligent control closed loop. The upper computer runs the learning algorithm, adjusts the control strategy of the system in real time by recording and analyzing the metabolic change law in the past domestication data, and sends the control command to the PLC through the industrial Ethernet. The PLC is responsible for executing specific control actions, including signal acquisition, logical judgment and driving device operation, while real-time data is returned to the upper computer.
9. The PLC-based adaptive microorganism evolution system of claim 8, wherein, The microreactor array adopts a modular design to expand its scale by adding control modules and reaction units. Each reaction unit is equipped with an independent safety monitoring circuit. The experimental database built by the upper computer uses a time-sequential storage method to completely save the sensor raw data, actuator operation records and algorithm decision parameters.