Microbial protein co-production system based on water electrolysis for hydrogen production and industrial tail gas carbon capture

CN122563707APending Publication Date: 2026-08-14CHINA HUADIAN ENG CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-30
Publication Date
2026-08-14

AI Technical Summary

Technical Problem

[0002]背景技术在基于微生物发酵制备蛋白的现有技术中,工业尾气碳捕集环节常存在杂质脱除不彻底、二氧化碳提纯效率低的问题,导致进入发酵环境的碳源纯度不足;同时,氢气与二氧化碳的导入流量比例调节多为固定模式,未结合发酵环境平衡态偏差与微生物生长状态指标变化进行联动调整,易造成碳氢比例失衡,进而抑制微生物代谢活力,降低蛋白合成效率

Benefits of technology

1.本发明通过多模块联动构建适配微生物生长的稳定环境,气体供给与状态监测分析模块实时把控发酵环境参数,结合气体比例联动调节模块对氢碳流量的动态适配,再配合氧气通量耦合控制的精准供给,能持续匹配目标微生物不同生长阶段的代谢需求,有效促进微生物生长活力提升,加快生物量浓度达标速度,为微生物蛋白的高效生成提供充足生物基础。

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Abstract

This invention relates to the field of biomanufacturing technology, specifically a microbial protein co-production system based on water electrolysis for hydrogen production and industrial waste gas carbon capture. The system includes a water electrolysis hydrogen production module, an industrial waste gas carbon capture module, a gas supply and status monitoring and analysis module, a gas ratio linkage regulation module, an oxygen flux coupling control module, a multi-flow coordination and stable environment construction module, and a microbial protein separation and recovery module. The system obtains hydrogen and oxygen through water electrolysis; removes impurities from industrial waste gas and obtains high-concentration carbon dioxide gas through pressure swing adsorption; analyzes the equilibrium deviation of the fermentation environment; jointly regulates the input flow rate ratio; performs flux coupling for oxygen to obtain the real-time supply flow rate; coordinates the hydrogen, high-concentration carbon dioxide gas, and oxygen through multi-flow processes to construct a stable environment; and separates microbial proteins. This invention can improve the efficiency of microbial protein co-production based on water electrolysis for hydrogen production and industrial waste gas carbon capture.
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Description

Technical Field

[0001] This invention relates to the field of biomanufacturing technology, and in particular to a microbial protein co-production system based on hydrogen production by water electrolysis and carbon capture from industrial waste gas. Background Technology

[0002] Background Technology: In existing technologies for protein preparation based on microbial fermentation, the industrial exhaust gas carbon capture process often suffers from incomplete impurity removal and low carbon dioxide purification efficiency, resulting in insufficient purity of the carbon source entering the fermentation environment. At the same time, the ratio of hydrogen to carbon dioxide inlet flow is mostly adjusted in a fixed mode, without taking into account the deviation of the fermentation environment equilibrium state and changes in microbial growth status indicators. This can easily lead to an imbalance in the carbon-hydrogen ratio, thereby inhibiting microbial metabolic activity and reducing protein synthesis efficiency.

[0003] Existing technologies also have shortcomings in the control of the microbial fermentation environment and protein separation and recovery. Oxygen flux supply is largely independent of the hydrogen and carbon dioxide ratio, failing to be coupled and adjusted according to the real-time metabolic oxygen demand of the microorganisms. This results in large fluctuations in dissolved oxygen concentration in the fermentation environment, making it difficult to maintain the stable conditions required for microbial growth. Furthermore, during microbial protein separation, the concentration effect of solid-liquid separation is poor, and subsequent purification steps lack specificity, easily leading to protein loss or substandard purity, affecting the quality of the final product. Therefore, how to achieve precise coupled control of oxygen flux to construct a stable fermentation environment and improve the efficiency and purity of microbial protein separation and recovery has become an urgent problem to be solved. Summary of the Invention

[0004] To achieve the above objectives, the present invention provides a microbial protein co-production system based on water electrolysis for hydrogen production and industrial tail gas carbon capture, characterized in that the system comprises a water electrolysis for hydrogen production module, an industrial tail gas carbon capture module, a gas supply and status monitoring and analysis module, a gas ratio linkage regulation module, an oxygen flux coupling control module, a multi-flow coordination and stable environment construction module, and a microbial protein separation and recovery module, wherein: The water electrolysis hydrogen production module is used to obtain hydrogen and oxygen required for the fermentation environment by electrolyzing water. The industrial exhaust gas carbon capture module is used to remove impurities from the industrial exhaust gas and obtain high-concentration carbon dioxide gas from the industrial exhaust gas through pressure swing adsorption. The gas supply and state monitoring and analysis module is used to supply the high-concentration carbon dioxide gas, hydrogen and oxygen to the fermentation environment, and to monitor the dissolved oxygen concentration, residual hydrogen concentration and residual carbon dioxide concentration of the fermentation environment in real time, so as to analyze the equilibrium deviation of the fermentation environment. The gas ratio linkage adjustment module is used to adjust the ratio of the introduced flow rate of hydrogen to that of high-concentration carbon dioxide gas based on the equilibrium deviation and the changes in the growth status indicators of the target microorganism. The oxygen flux coupling control module is used to perform flux coupling on the oxygen based on the import flow ratio to obtain the real-time supply flow of the oxygen. The multi-flow coordination and stable environment construction module is used to coordinate the hydrogen, the high-concentration carbon dioxide gas and the oxygen according to the real-time supply flow rate and the import flow rate ratio, so as to construct a stable environment for the target microorganism. The microbial protein separation and recovery module is used to separate microbial proteins from the fermentation environment when the biomass concentration of the target microorganism reaches a preset biomass standard under the stable environment.

[0005] In a preferred embodiment, the system includes a water electrolysis hydrogen production module, an industrial tail gas carbon capture module, a gas supply and status monitoring and analysis module, a gas ratio linkage regulation module, an oxygen flux coupling control module, a multi-flow coordination and stable environment construction module, and a microbial protein separation and recovery module, wherein: The water electrolysis hydrogen production module is used to obtain hydrogen and oxygen required for the fermentation environment by electrolyzing water. The industrial exhaust gas carbon capture module is used to remove impurities from the industrial exhaust gas and obtain high-concentration carbon dioxide gas from the industrial exhaust gas through pressure swing adsorption. The gas supply and state monitoring and analysis module is used to supply the high-concentration carbon dioxide gas, hydrogen and oxygen to the fermentation environment, and to monitor the dissolved oxygen concentration, residual hydrogen concentration and residual carbon dioxide concentration of the fermentation environment in real time, so as to analyze the equilibrium deviation of the fermentation environment. The gas ratio linkage adjustment module is used to adjust the ratio of the introduced flow rate of hydrogen to that of high-concentration carbon dioxide gas based on the equilibrium deviation and the changes in the growth status indicators of the target microorganism. The oxygen flux coupling control module is used to perform flux coupling on the oxygen based on the import flow ratio to obtain the real-time supply flow of the oxygen. The multi-flow coordination and stable environment construction module is used to coordinate the hydrogen, the high-concentration carbon dioxide gas and the oxygen according to the real-time supply flow rate and the import flow rate ratio, so as to construct a stable environment for the target microorganism. The microbial protein separation and recovery module is used to separate microbial proteins from the fermentation environment when the biomass concentration of the target microorganism reaches a preset biomass standard under the stable environment.

[0006] In a preferred embodiment, the industrial exhaust gas carbon capture module, when removing impurities from the industrial exhaust gas and obtaining high-concentration carbon dioxide gas from the industrial exhaust gas through pressure swing adsorption, is specifically used for: Remove solid particulate matter and related harmful substances from industrial exhaust gas; The residual concentrations of the solid particulate matter and the related hazardous substances are assessed to obtain the residual deviation of the solid particulate matter and the related hazardous substances; Based on the residual deviation, the industrial exhaust gas is subjected to flow pattern optimization and purification to obtain purified exhaust gas that meets the standards. The purified exhaust gas was subjected to pressurized selective adsorption to obtain a carbon dioxide-enriched adsorption phase of the purified exhaust gas. The carbon dioxide enriched adsorption phase is subjected to depressurization desorption to obtain crude carbon dioxide gas from the industrial tail gas. The crude carbon dioxide gas is purged and purified to obtain high-concentration carbon dioxide gas from the industrial tail gas.

[0007] In a preferred embodiment, when the gas supply and state monitoring analysis module supplies the high-concentration carbon dioxide gas, hydrogen gas, and oxygen gas to the fermentation environment, and monitors the dissolved oxygen concentration, residual hydrogen concentration, and residual carbon dioxide concentration of the fermentation environment in real time to analyze the equilibrium deviation of the fermentation environment, it is specifically used for: The high-concentration carbon dioxide gas, hydrogen gas, and oxygen gas are introduced into the fermentation environment; Simultaneously acquire the dissolved oxygen concentration, residual hydrogen concentration, and residual carbon dioxide concentration of the fermentation environment; Difference analysis was performed on the dissolved oxygen concentration, the residual hydrogen concentration, and the residual carbon dioxide concentration to obtain the real-time concentration deviation value and deviation direction of the fermentation environment; Based on the real-time concentration deviation value and the deviation direction, the fermentation environment is dynamically analyzed to obtain the dominant deviation type and comprehensive deviation degree of the fermentation environment. The duration of the deviation in the fermentation environment is obtained by tracking the dominant deviation type over time. By integrating the dominant deviation type, the comprehensive deviation degree, and the deviation duration, the equilibrium deviation of the fermentation environment is obtained.

[0008] In a preferred embodiment, when the gas supply and state monitoring and analysis module performs difference analysis on the dissolved oxygen concentration, the residual hydrogen concentration, and the residual carbon dioxide concentration to obtain the real-time concentration deviation value and direction of the fermentation environment, it is specifically used for: The dissolved oxygen concentration, the residual hydrogen concentration, and the residual carbon dioxide concentration are quantified by reference to obtain the real-time concentration deviation of the fermentation environment; The real-time concentration deviation is labeled with positive and negative attributes to obtain the deviation direction of the real-time concentration deviation.

[0009] In a preferred embodiment, the gas ratio linkage adjustment, when performing linkage adjustment of the introduction flow ratio of hydrogen and high-concentration carbon dioxide gas based on the equilibrium deviation and changes in the growth status indicators of the target microorganism, is specifically used for: Growth kinetics were analyzed to determine the growth period markers and metabolic activity gradients of the target microorganism by analyzing the changes in its growth status indicators. By performing multi-dimensional correlation coupling between the equilibrium deviation, the growth period determination indicator, and the metabolic activity change gradient, the gas ratio regulation parameters of the fermentation environment are obtained. The gas ratio adjustment parameter is mapped to the ratio of the introduced flow rate of hydrogen to that of the high-concentration carbon dioxide gas.

[0010] In a preferred embodiment, the gas ratio linkage regulation, when performing growth kinetic analysis on changes in the growth status indicators of the target microorganism to obtain the growth stage determination markers and metabolic activity change gradients of the target microorganism, is specifically used for: By arranging the biomass concentration data, key physicochemical parameter data, and specific metabolite generation rate data of the target microorganism, a multidimensional growth association sequence of the target microorganism is obtained. Dynamic feature analysis was performed on the multidimensional growth association sequences, and the biomass growth inflection point, plateau initiation point, and metabolic rate mutation point of the multidimensional growth association sequences were identified. Based on the biomass growth inflection point, the plateau phase initiation point, and the metabolic rate mutation point, the growth period determination markers of the target microorganism are analyzed. The multidimensional growth association sequence is subjected to feature sequence separation to obtain the specific growth rate sequence and the specific product formation rate sequence of the multidimensional growth association sequence; The metabolic activity gradient of the target microorganism is calculated based on the specific growth rate sequence and the specific product formation rate sequence.

[0011] In a preferred embodiment, the formula for calculating the metabolic activity change gradient is as follows: ; In the formula, This represents the gradient of changes in metabolic activity. This indicates that the specific growth rate sequence is at time point The instantaneous value of the specific growth rate at that time. This indicates that the product formation rate sequence is at the specified time point. The instantaneous value of the product formation rate at that time. This indicates that the preset length is The moving average of the relative growth rate sequence within the time window, This represents the moving average of the product formation rate sequence within the time window. This represents the standard value of the specific growth rate sequence within the stated time window. This represents the standard value of the product formation rate sequence within the stated time window. This represents the preset growth rate threshold. This represents the preset synthesis rate threshold. This represents the preset gain coefficient. This represents the preset base weight coefficient. This represents the preset base weight coefficient. Indicated by An exponential function with base 0.

[0012] In a preferred embodiment, when the oxygen flux coupling control module performs flux coupling on the oxygen based on the imported flow rate ratio to obtain the real-time oxygen supply flow rate, it is specifically used for: Based on the imported flow rate ratio, a mapping relationship is established between the imported flow rate ratio and the metabolic oxygen demand flux of the target microorganism; Based on the mapping relationship, flux correlation mapping is performed on the target microorganism to obtain the oxygen demand flux of the target microorganism; The oxygen demand flux is subjected to feedback self-correction to obtain the corrected flux of the oxygen demand flux. The corrected flux is used as the real-time supply flow rate of the oxygen.

[0013] In a preferred embodiment, when the multi-flow coordination and stable environment construction module performs multi-flow coordination of hydrogen, high-concentration carbon dioxide gas, and oxygen according to the real-time supply flow rate and the import flow rate ratio to construct a stable environment for the target microorganism, it is specifically used for: The ratio of the real-time supply flow rate to the import flow rate is encoded as an adjustment instruction for the fermentation environment; The hydrogen, the high-concentration carbon dioxide gas, and the oxygen are introduced into the fermentation environment using the aforementioned adjustment command; Based on the environmental status feedback of the fermentation environment, the flow parameters in the adjustment command are adjusted to construct a stable environment for the target microorganism.

[0014] In a preferred embodiment, when the microbial protein separation and recovery module separates the microbial protein from the fermentation environment after the biomass concentration of the target microorganism reaches a preset biomass standard under the stable environment, it is specifically used for: Under the stable environment, when the biomass concentration of the target microorganism reaches the preset biomass standard, solid-liquid separation is performed on the fermentation environment to obtain the biomass concentrate of the target microorganism. The biomass concentrate was subjected to cell wall disruption treatment to obtain a crude protein extract of the biomass concentrate. The crude protein extract was purified by multi-step chromatography to obtain the microbial protein in the fermentation environment.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. This invention constructs a stable environment adapted to microbial growth through multi-module linkage. The gas supply and status monitoring and analysis module controls fermentation environment parameters in real time. Combined with the gas ratio linkage adjustment module for dynamic adaptation of hydrogen and carbon flow, and the precise supply of oxygen flux coupling control, it can continuously match the metabolic needs of target microorganisms at different growth stages, effectively promote the improvement of microbial growth vitality, accelerate the rate at which biomass concentration reaches the target, and provide a sufficient biological basis for the efficient generation of microbial proteins.

[0016] 2. This invention converts industrial waste gas into a carbon source required for microbial fermentation, achieving efficient recycling of resources and reducing waste. The entire process from raw material preparation to environmental control and product recovery is highly efficient and coordinated, eliminating the need for redundant operations and significantly reducing internal consumption. This not only significantly improves the overall efficiency of microbial protein co-production but also ensures the stability of protein production, further enhancing the practical value and economic benefits of the system in real-world applications. Attached Figure Description

[0017] Figure 1 A system architecture diagram of a microbial protein co-production system based on water electrolysis for hydrogen production and industrial tail gas carbon capture, provided in an embodiment of the present invention. The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments belong to some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] The terminology used in the embodiments of this invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. The singular forms “said” and “the” as used in the embodiments of this invention and the appended claims are also intended to include the plural forms, and “multiple” generally includes at least two unless the context clearly indicates otherwise.

[0020] Depending on the context, the word "if" or "if" as used here can be interpreted as "when," "when," "in response to determination," or "in response to detection." Similarly, depending on the context, the phrase "if determination" or "if detection (of the stated condition or event)" can be interpreted as "when determination," "in response to determination," "when detection (of the stated condition or event)," or "in response to detection (of the stated condition or event)."

[0021] Furthermore, the timing of the steps in the following method embodiments is merely an example and not a strict limitation.

[0022] In practice, the server-side equipment deployed in the microbial protein co-production system based on water electrolysis for hydrogen production and industrial tail gas carbon capture may consist of one or more devices. This system can be implemented as a business instance, a virtual machine, or hardware equipment. For example, it can be implemented as a business instance deployed on one or more devices in a cloud node. Simply put, it can be understood as software deployed on a cloud node to provide the system to various users. Alternatively, it can also be implemented as a virtual machine deployed on one or more devices in a cloud node, with application software installed to manage each user. Alternatively, the microbial protein co-production system based on water electrolysis for hydrogen production and industrial tail gas carbon capture can also be implemented as a server consisting of numerous identical or different types of hardware devices, with one or more hardware devices set up to provide each user with the microbial protein co-production system based on water electrolysis for hydrogen production and industrial tail gas carbon capture.

[0023] In terms of implementation, the microbial protein co-production system based on water electrolysis for hydrogen production and industrial tail gas carbon capture is mutually adaptable to the user end. Specifically, if the system is implemented as an application installed on a cloud service platform, the user end acts as a client establishing a communication connection with that application; or if the system is implemented as a website, the user end acts as a webpage; or if the system is implemented as a cloud service platform, the user end acts as a mini-program within an instant messaging application.

[0024] like Figure 1 The figure shown is a system architecture diagram of a microbial protein co-production system based on water electrolysis for hydrogen production and industrial tail gas carbon capture, provided in an embodiment of the present invention.

[0025] The microbial protein co-production system 100 based on water electrolysis for hydrogen production and industrial tail gas carbon capture described in this invention can be installed on a cloud server. In terms of implementation, it can be used as one or more service devices, or as an application installed on the cloud (e.g., a mobile service operator's server, server cluster, etc.), or it can be developed into a website. Depending on the functions implemented, the microbial protein co-production system 100 may include an water electrolysis hydrogen production module 101, an industrial tail gas carbon capture module 102, a gas supply and status monitoring and analysis module 103, a gas ratio linkage regulation module 104, an oxygen flux coupling control module 105, a multi-flow coordination and stable environment construction module 106, and a microbial protein separation and recovery module 107. The module described in this invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can perform a fixed function, stored in the memory of the electronic device.

[0026] In this embodiment of the invention, in the microbial protein co-production system based on water electrolysis for hydrogen production and industrial tail gas carbon capture, each of the above modules can be implemented independently and can be called upon with other modules. This "calling" can be understood as one module connecting to multiple modules of another type and providing corresponding services to those connected modules. In the microbial protein co-production system based on water electrolysis for hydrogen production and industrial tail gas carbon capture provided by this embodiment of the invention, the applicability of the system architecture can be adjusted by adding modules and directly calling them without modifying the program code, achieving cluster-based horizontal expansion. This allows for quick and flexible expansion of the microbial protein co-production system based on water electrolysis for hydrogen production and industrial tail gas carbon capture. In practical applications, the above modules can be set in the same device or different devices, or in virtual devices, such as service instances in a cloud server.

[0027] The following describes, with reference to specific embodiments, each component and specific workflow of the microbial protein co-production system based on water electrolysis for hydrogen production and industrial tail gas carbon capture: In this embodiment of the invention, the water electrolysis hydrogen production module 101 is used to obtain hydrogen and oxygen required for the fermentation environment by electrolyzing water. Raw water that meets industrial electrolysis standards is selected and poured into a pretreatment device. First, it is filtered through a quartz sand filter to remove solid particles. Then, it is passed through a cation exchange resin column to remove cations such as calcium and magnesium ions. Next, it is passed through an anion exchange resin column to remove anions such as chloride and sulfate ions. Finally, it is filtered through a precision filter to remove resin debris and other minute impurities, resulting in electrolytic water with the required purity. This process can effectively prevent impurities from entering subsequent electrolysis stages and affecting electrolysis efficiency and product purity.

[0028] Pretreated electrolytic water is fed into an electrolytic cell containing isolated cathode and anode chambers separated by an ion exchange membrane. An appropriate amount of sodium hydroxide is added to the electrolytic cell as an electrolyte to improve the water's conductivity. The cathode and anode of the electrolytic cell are then connected to the negative and positive terminals of a DC power supply, respectively. After the power is turned on, water molecules in the cathode chamber gain electrons on the cathode surface and undergo a reduction reaction to generate hydrogen and hydroxide ions. Water molecules in the anode chamber lose electrons on the anode surface and undergo an oxidation reaction to generate oxygen and hydrogen ions.

[0029] A hydrogen outlet pipe is installed at the top of the cathode chamber of the electrolytic cell and connected to a hydrogen collection device. As the electrolysis reaction proceeds, the hydrogen generated in the cathode chamber enters the hydrogen collection device through the hydrogen outlet pipe. An oxygen outlet pipe is installed at the top of the anode chamber of the electrolytic cell and connected to an oxygen collection device. The oxygen generated in the anode chamber enters the oxygen collection device through the oxygen outlet pipe. During this process, the sealing performance of the electrolytic cell is controlled to prevent hydrogen and oxygen from mixing and to ensure that the two gases are collected separately.

[0030] The collected hydrogen gas is passed into a drying tower filled with anhydrous calcium chloride. Inside the drying tower, the hydrogen gas comes into full contact with the anhydrous calcium chloride, which adsorbs the water vapor contained in the hydrogen gas, thus drying the hydrogen. The collected oxygen gas is passed into another drying tower filled with anhydrous calcium chloride in the same way to dry the oxygen. After drying, the purity of hydrogen and oxygen is tested using a gas purity detector. Once the tests confirm that the purity of hydrogen and oxygen meets the standards required for the fermentation environment, hydrogen and oxygen are stored in dedicated gas storage tanks for supply to the fermentation environment at any time.

[0031] The beneficial effects of this water electrolysis hydrogen production module are that it thoroughly removes impurities from the water through multi-step refined pretreatment of the raw water, avoiding interference from impurities in the electrolysis process and ensuring stable and efficient electrolysis reaction. Through reasonable design of the electrolytic cell structure and addition of electrolytes, it ensures that water molecules can react smoothly on the electrode surface to accurately generate the hydrogen and oxygen required for the fermentation environment. After drying, water vapor in the gas is removed, and the gas quality is controlled by purity testing. Ultimately, it can continuously provide qualified hydrogen and oxygen for the fermentation environment, laying a reliable gaseous raw material foundation for the smooth development of subsequent microbial growth, metabolism, and microbial protein co-production.

[0032] The industrial exhaust gas carbon capture module 102 is used to remove impurities from the industrial exhaust gas and obtain high-concentration carbon dioxide gas from the industrial exhaust gas through pressure swing adsorption. In this embodiment of the invention, the industrial exhaust gas carbon capture module, when removing impurities from the industrial exhaust gas and obtaining high-concentration carbon dioxide gas from the industrial exhaust gas through pressure swing adsorption, is specifically used for: Remove solid particulate matter and related harmful substances from industrial exhaust gas; The residual concentrations of the solid particulate matter and the related hazardous substances are assessed to obtain the residual deviation of the solid particulate matter and the related hazardous substances; Based on the residual deviation, the industrial exhaust gas is subjected to flow pattern optimization and purification to obtain purified exhaust gas that meets the standards. The purified exhaust gas was subjected to pressurized selective adsorption to obtain a carbon dioxide-enriched adsorption phase of the purified exhaust gas. The carbon dioxide enriched adsorption phase is subjected to depressurization desorption to obtain crude carbon dioxide gas from the industrial tail gas. The crude carbon dioxide gas is purged and purified to obtain high-concentration carbon dioxide gas from the industrial tail gas.

[0033] Industrial exhaust gas is introduced into a bag filter. The filter bags inside the bag filter are made of high-strength fiber material. As the exhaust gas flows slowly inside the dust collector, the filter bags trap solid particles in the exhaust gas. The trapped particles are periodically removed from the surface of the filter bags and collected through pulse jet cleaning. Subsequently, the dust-treated exhaust gas is passed into an activated carbon adsorption tower. The activated carbon adsorption tower is filled with granular activated carbon. The porous structure on the surface of the activated carbon can adsorb sulfides, nitrogen oxides and other related harmful substances in the exhaust gas. By controlling the residence time of the exhaust gas in the adsorption tower, it is ensured that solid particles and related harmful substances are effectively removed, resulting in pre-purified industrial exhaust gas.

[0034] The concentration of solid particulate matter in the exhaust gas after preliminary impurity removal was detected using a laser particle size analyzer, while the concentration of related harmful substances in the exhaust gas was detected using a gas chromatograph. The actual concentrations of solid particulate matter and related harmful substances were compared with the preset standard concentrations of solid particulate matter and related harmful substances, respectively. The difference between the actual concentration and the standard concentration was calculated, and then the difference was divided by the standard concentration to obtain the residual deviation of solid particulate matter and related harmful substances. Finally, the deviation data of the two types of substances were integrated to determine the overall residual deviation.

[0035] The treatment parameters for industrial exhaust gas are adjusted based on the obtained residual deviation. If the residual deviation exceeds the preset range, the industrial exhaust gas after preliminary impurity removal is introduced into a packed tower. Ceramic packing is filled into the packed tower to increase the contact area between the exhaust gas and the treatment agent. An appropriate amount of alkaline absorbent is introduced into the packed tower, and the flow rate of the exhaust gas in the packed tower is controlled to ensure that the exhaust gas and alkaline absorbent are in full contact, further adsorbing residual solid particles and related harmful substances. The residual concentration of impurities in the exhaust gas is continuously monitored until the residual deviation drops to the preset range, and purified exhaust gas that meets the standards is obtained.

[0036] The purified exhaust gas is fed into a pressure swing adsorption (PSA) tower, which is filled with a special carbon dioxide adsorbent. The pressure inside the adsorption tower is increased by a pressurizing device. Under high pressure, the adsorbent's adsorption capacity for carbon dioxide is significantly enhanced. Carbon dioxide in the purified exhaust gas is selectively adsorbed by the adsorbent, while other gases such as nitrogen and oxygen in the exhaust gas are not adsorbed and are discharged from the other end of the adsorption tower as desorption gases. Once the adsorbent reaches saturation, the exhaust gas is stopped. At this point, what remains in the adsorption tower is the carbon dioxide-enriched adsorption phase.

[0037] Close the inlet valve and the outlet valve of the pressure swing adsorption tower, open the pressure reducing valve of the adsorption tower, and slowly reduce the pressure inside the adsorption tower. As the pressure decreases, the adsorbent's ability to adsorb carbon dioxide gradually weakens. The carbon dioxide molecules that were originally adsorbed on the surface of the adsorbent will detach from the surface of the adsorbent and be released into the adsorption tower. The released carbon dioxide gas is introduced into a special collection container through the gas collection valve at the bottom of the adsorption tower to obtain crude carbon dioxide gas.

[0038] The crude carbon dioxide gas is introduced into a purging tower, and then a dry inert gas is introduced into the purging tower. The inert gas flows in the purging tower at a certain flow rate and mixes thoroughly with the crude carbon dioxide gas. During the process, the inert gas carries away light component impurities such as nitrogen and oxygen remaining in the crude carbon dioxide gas and is discharged from the top of the purging tower. After purging for a period of time, the concentration of carbon dioxide gas after purging is detected using a gas purity detector until the detection result shows that the carbon dioxide concentration reaches the preset high concentration standard, thus obtaining high-concentration carbon dioxide gas in industrial exhaust gas.

[0039] The beneficial effects are that this industrial exhaust gas carbon capture module, through multi-step collaborative operation, first thoroughly removes solid particulate matter and related harmful substances from industrial exhaust gas, then uses residual concentration assessment to ensure the removal effect of impurities, and subsequently uses flow pattern optimization purification to further ensure the quality of exhaust gas purification. Finally, it uses a combination of pressure swing adsorption, depressurization desorption and purging purification processes to efficiently separate and purify carbon dioxide, ultimately obtaining a stable high concentration of carbon dioxide gas, providing qualified carbon source raw materials for microbial fermentation, while realizing the resource utilization of industrial exhaust gas and reducing pollutant emissions.

[0040] The gas supply and state monitoring and analysis module 103 is used to supply the high-concentration carbon dioxide gas, the hydrogen gas and the oxygen gas to the fermentation environment, and to monitor the dissolved oxygen concentration, residual hydrogen concentration and residual carbon dioxide concentration of the fermentation environment in real time, so as to analyze the equilibrium deviation of the fermentation environment. In this embodiment of the invention, when the gas supply and state monitoring analysis module supplies the high-concentration carbon dioxide gas, the hydrogen gas, and the oxygen gas to the fermentation environment, and monitors the dissolved oxygen concentration, residual hydrogen concentration, and residual carbon dioxide concentration of the fermentation environment in real time to analyze the equilibrium deviation of the fermentation environment, it is specifically used for: The high-concentration carbon dioxide gas, hydrogen gas, and oxygen gas are introduced into the fermentation environment; Simultaneously acquire the dissolved oxygen concentration, residual hydrogen concentration, and residual carbon dioxide concentration of the fermentation environment; Difference analysis was performed on the dissolved oxygen concentration, the residual hydrogen concentration, and the residual carbon dioxide concentration to obtain the real-time concentration deviation value and deviation direction of the fermentation environment; Based on the real-time concentration deviation value and the deviation direction, the fermentation environment is dynamically analyzed to obtain the dominant deviation type and comprehensive deviation degree of the fermentation environment. The duration of the deviation in the fermentation environment is obtained by tracking the dominant deviation type over time. By integrating the dominant deviation type, the comprehensive deviation degree, and the deviation duration, the equilibrium deviation of the fermentation environment is obtained.

[0041] When the gas supply and state monitoring and analysis module performs difference analysis on the dissolved oxygen concentration, the residual hydrogen concentration, and the residual carbon dioxide concentration to obtain the real-time concentration deviation value and direction of the fermentation environment, it is specifically used for: The dissolved oxygen concentration, the residual hydrogen concentration, and the residual carbon dioxide concentration are quantified by reference to obtain the real-time concentration deviation of the fermentation environment; The real-time concentration deviation is labeled with positive and negative attributes to obtain the deviation direction of the real-time concentration deviation.

[0042] Dedicated gas delivery pipelines connect high-concentration carbon dioxide gas storage tanks, hydrogen gas storage tanks, oxygen gas storage tanks, and fermentation tanks. Each gas delivery pipeline is equipped with a gas flow meter and an electrically controlled valve. The initial delivery flow rate of each gas is set according to the initial gas requirements for the growth of the target microorganisms. The outlet valve of the gas storage tank and the electrically controlled valve on the pipeline are opened, and the delivery rate of each gas is monitored in real time by the flow meter to ensure that high-concentration carbon dioxide, hydrogen, and oxygen are continuously and stably input into the fermentation environment to meet the initial metabolic needs of the microorganisms for gaseous raw materials.

[0043] Dissolved oxygen analyzers, hydrogen concentration sensors, and carbon dioxide concentration sensors are installed at different heights and radial positions inside the fermenter. The signal output terminals of the three detection devices are connected to the same data acquisition terminal via data cables. The synchronous acquisition interval of the data acquisition terminal is set. When high concentrations of carbon dioxide, hydrogen, and oxygen are introduced into the fermentation environment, the synchronous acquisition function of the data acquisition terminal is activated. The three detection devices simultaneously monitor the dissolved oxygen concentration, residual hydrogen concentration, and residual carbon dioxide concentration in the fermentation environment in real time. Each time the concentration data is collected, it is immediately transmitted to the storage unit of the data acquisition terminal for storage, realizing the synchronous acquisition of the concentrations of the three gases.

[0044] The latest real-time values ​​of dissolved oxygen, residual hydrogen, and residual carbon dioxide concentrations, acquired synchronously, are retrieved from the storage unit of the data acquisition terminal. Simultaneously, the pre-set standard concentration values ​​suitable for the growth of each gas in the fermentation environment are retrieved. The difference between the real-time measured value and the corresponding standard concentration value for each gas is calculated: real-time dissolved oxygen concentration deviation = real-time dissolved oxygen measured value - standard dissolved oxygen concentration value; real-time hydrogen concentration deviation = real-time hydrogen measured value - standard hydrogen concentration value; real-time carbon dioxide concentration deviation = real-time carbon dioxide measured value - standard carbon dioxide concentration value. This calculation process completes the reference quantification of the three gas concentrations, yielding the real-time concentration deviation of the fermentation environment.

[0045] For the real-time concentration deviations of dissolved oxygen, hydrogen, and carbon dioxide obtained by reference quantification, their positive or negative attributes are determined. If the real-time concentration deviation of a gas is positive, the deviation direction of the gas concentration is marked as "higher than the preset standard concentration"; if the real-time concentration deviation of a gas is negative, the deviation direction of the gas concentration is marked as "lower than the preset standard concentration". By classifying the positive and negative attributes of the three gas concentration deviations one by one, the deviation direction of each gas concentration is clarified, and thus the real-time concentration deviation direction of the fermentation environment is obtained.

[0046] The absolute values ​​of the real-time deviations of dissolved oxygen, hydrogen, and carbon dioxide concentrations are compared. The gas with the largest absolute value is identified as the dominant deviation type in the fermentation environment. For example, if the absolute value of the carbon dioxide real-time concentration deviation is greater than that of dissolved oxygen and hydrogen, then the dominant deviation type is "carbon dioxide concentration deviation". At the same time, the overall deviation degree is classified according to the sum of the absolute values ​​of the three gas concentration deviations. If the sum is within the preset mild deviation range, it is judged as a mild deviation; if it is within the moderate range, it is judged as a moderate deviation; and if it is within the severe range, it is judged as a severe deviation. Thus, the dominant deviation type and overall deviation degree of the fermentation environment are obtained.

[0047] After determining the dominant deviation type of the fermentation environment, the timing module built into the data acquisition terminal is activated. The timing module starts timing from the moment the dominant deviation type is first identified, and continuously compares the absolute values ​​of the three gas concentration deviations of each newly acquired gas. If the absolute value of the same type of gas concentration deviation is always the largest, the timing module continues timing. If the absolute value of the deviation of other types of gas concentration exceeds the current dominant deviation type, the current timing stops, and the time length from the start to the stop of timing is recorded. This time length is the deviation duration of the current dominant deviation type of the fermentation environment.

[0048] The three pieces of information obtained—dominant deviation type, comprehensive deviation degree, and deviation duration—are integrated to form a complete analysis result according to the structure of "dominant deviation type + comprehensive deviation degree + deviation duration." For example, "the current equilibrium deviation of the fermentation environment is: the dominant deviation type is hydrogen concentration deviation, the comprehensive deviation degree is moderate, and the deviation duration is 10 minutes." Through this integration process, the equilibrium deviation of the fermentation environment is finally obtained.

[0049] The beneficial effects are that the gas supply and status monitoring and analysis module can stably deliver high concentrations of carbon dioxide, hydrogen and oxygen to the fermentation environment, ensuring the supply of gas raw materials for microbial growth. At the same time, it can accurately obtain and analyze the equilibrium deviation of the fermentation environment through multi-device synchronous monitoring and multi-step analysis, providing a comprehensive and accurate basis for subsequent gas ratio adjustment and stable environment construction. This effectively avoids abnormal microbial growth caused by untimely monitoring of environmental parameters or incomplete deviation analysis, and helps to improve the efficiency of microbial protein co-production.

[0050] The gas ratio linkage adjustment module 104 is used to adjust the ratio of the introduced flow rate of hydrogen to that of high-concentration carbon dioxide gas based on the equilibrium deviation and the changes in the growth status indicators of the target microorganism. In this embodiment of the invention, when the gas ratio linkage adjustment is performed based on the equilibrium deviation and the change in the growth status index of the target microorganism, and the ratio of the introduced flow rate of hydrogen to that of high-concentration carbon dioxide gas is adjusted in linkage, it is specifically used for: Growth kinetics were analyzed to determine the growth period markers and metabolic activity gradients of the target microorganism by analyzing the changes in its growth status indicators. By performing multi-dimensional correlation coupling between the equilibrium deviation, the growth period determination indicator, and the metabolic activity change gradient, the gas ratio regulation parameters of the fermentation environment are obtained. The gas ratio adjustment parameter is mapped to the ratio of the introduced flow rate of hydrogen to that of the high-concentration carbon dioxide gas.

[0051] The gas ratio linkage regulation, when performing growth kinetic analysis on changes in the growth status indicators of the target microorganism to obtain the growth stage determination markers and metabolic activity change gradients of the target microorganism, is specifically used for: By arranging the biomass concentration data, key physicochemical parameter data, and specific metabolite generation rate data of the target microorganism, a multidimensional growth association sequence of the target microorganism is obtained. Dynamic feature analysis was performed on the multidimensional growth association sequences, and the biomass growth inflection point, plateau initiation point, and metabolic rate mutation point of the multidimensional growth association sequences were identified. Based on the biomass growth inflection point, the plateau phase initiation point, and the metabolic rate mutation point, the growth period determination markers of the target microorganism are analyzed. The multidimensional growth association sequence is subjected to feature sequence separation to obtain the specific growth rate sequence and the specific product formation rate sequence of the multidimensional growth association sequence; The metabolic activity gradient of the target microorganism is calculated based on the specific growth rate sequence and the specific product formation rate sequence.

[0052] The formula for calculating the gradient of metabolic activity change is as follows: ; In the formula, This represents the gradient of changes in metabolic activity. This indicates that the specific growth rate sequence is at time point The instantaneous value of the specific growth rate at that time. This indicates that the product formation rate sequence is at the specified time point. The instantaneous value of the product formation rate at that time. This indicates that the preset length is The moving average of the relative growth rate sequence within the time window, This represents the moving average of the product formation rate sequence within the time window. This represents the standard value of the specific growth rate sequence within the stated time window. This represents the standard value of the product formation rate sequence within the stated time window. This represents the preset growth rate threshold. This represents the preset synthesis rate threshold. This represents the preset gain coefficient. This represents the preset base weight coefficient. This represents the preset base weight coefficient. Indicated by An exponential function with base 0.

[0053] Data on biomass concentration, key physicochemical parameters, and specific metabolite production rates of the target microorganism during fermentation were collected. Key physicochemical parameters included the pH and temperature of the fermentation broth, while the specific metabolite production rate data represented the amount of specific metabolites synthesized by the target microorganism per unit time. The biomass concentration, key physicochemical parameters, and specific metabolite production rate data for each time point were arranged in chronological order to form a multidimensional growth correlation sequence of the target microorganism containing multiple types of data and ordered chronologically.

[0054] By plotting change curves of various data in the multidimensional growth association sequence along the time axis, the inflection point in the biomass concentration data curve where the slope changes from a small change to a large change and then back to a small change is identified as the biomass growth inflection point. The starting point in the biomass concentration data curve where the slope is close to zero and remains stable is identified as the plateau phase inflection point. The point in the specific metabolite production rate data curve where the value changes from a stable change to a sudden increase or decrease is identified as the metabolic rate mutation point. Through this dynamic characteristic analysis, the biomass growth inflection point, plateau phase inflection point, and metabolic rate mutation point of the multidimensional growth association sequence can be identified.

[0055] Based on the identified biomass growth inflection point, plateau initiation point, and metabolic rate mutation point, the growth phase determination markers of the target microorganism are analyzed. The stage before the biomass growth inflection point is determined as the lag phase, characterized by slow biomass concentration growth and weak metabolic activity; the stage between the biomass growth inflection point and the plateau initiation point is determined as the logarithmic growth phase, characterized by rapid biomass concentration growth and vigorous metabolic activity; the stage after the plateau initiation point is determined as the stationary phase, characterized by relatively stable biomass concentration and relatively slow metabolic activity; the occurrence of the metabolic rate mutation point is determined as a growth phase transition marker, indicating that the microorganism is about to transition from the current growth phase to another growth phase. Thus, the growth phase determination markers of the target microorganism are obtained.

[0056] Feature extraction was performed on the biomass concentration data and specific metabolite formation rate data in the multidimensional growth association sequence. When calculating the specific growth rate, the biomass concentration data at each time point was subtracted from the biomass concentration data at the previous adjacent time point to obtain the change in biomass concentration. This change was then divided by the biomass concentration data at the previous adjacent time point to obtain the specific growth rate at that time point. The specific growth rate at each time point was calculated continuously in chronological order to form the specific growth rate sequence of the target microorganism. When calculating the specific product formation rate, the specific metabolite formation rate data at each time point was subtracted from the specific metabolite formation rate data at the previous adjacent time point to obtain the change in the specific metabolite formation rate. This change was then divided by the specific metabolite formation rate data at the previous adjacent time point to obtain the specific product formation rate at that time point. The specific product formation rate at each time point was calculated continuously in chronological order to form the specific product formation rate sequence of the target microorganism. Through this feature sequence separation, the specific growth rate sequence and the specific product formation rate sequence of the multidimensional growth association sequence were obtained.

[0057] A time window of preset length is determined. Within this time window, all data from the specific growth rate sequence are selected. These data are summed and divided by the number of data points to obtain the moving average of the specific growth rate sequence within the time window. To calculate the standard value of the specific growth rate sequence, the moving average is subtracted from each specific growth rate data point within the time window to obtain the deviation value for each data point. The squares of each deviation value are then summed to obtain the sum of squared deviations. This sum of squared deviations is then divided by the number of data points to obtain the variance. Finally, the square root of the variance is taken to obtain the standard value of the specific growth rate sequence. The moving average and standard value of the specific product formation rate sequence are calculated using the same method. Preset growth rate thresholds, synthesis rate thresholds, gain coefficients, and two preset basic weighting coefficients are obtained. The specific growth rate at a certain time point in the specific growth rate sequence is taken as the specific growth rate. The instantaneous value of the growth rate is subtracted from the growth rate threshold to obtain the first difference. The first difference is multiplied by a negative gain coefficient to obtain the exponential parameter. The exponential value of the exponential parameter is calculated with base e to obtain the exponential result. The exponential result is added to 1 to obtain the denominator. The first weighting coefficient is then divided by the denominator to obtain the first weighting term. The instantaneous value of the specific growth rate is subtracted from the moving average of the specific growth rate to obtain the second difference. The second difference is divided by the standard value of the specific growth rate to obtain the first normalized result. The first weighting term is multiplied by the first normalized result to obtain the specific growth rate related calculation part. The instantaneous value of the specific product formation rate of the specific product formation rate sequence is processed using the same method to obtain the specific product formation rate related calculation part. The specific growth rate related calculation part is added to the specific product formation rate related calculation part to obtain the gradient of the metabolic activity change of the target microorganism.

[0058] The equilibrium deviation of the fermentation environment is obtained from the gas supply and state monitoring analysis module. This equilibrium deviation includes the dominant deviation type, the comprehensive deviation degree, and the deviation duration. Multi-dimensional correlation analysis is performed using the obtained growth phase indicators and metabolic activity gradient of the target microorganism. If the dominant deviation type is a carbon dioxide residual concentration below the standard value, the comprehensive deviation degree is moderate, the deviation duration is 8 minutes, the growth phase indicator is logarithmic growth phase, and the metabolic activity gradient is high, then it is determined that the carbon dioxide inlet flow rate needs to be increased to meet the vigorous metabolic demands of the logarithmic growth phase microorganisms. Based on the correlation analysis results, the adjustment direction is determined to be increasing the carbon dioxide flow rate by 15% of the current carbon dioxide flow rate, forming a gas ratio regulation parameter for the fermentation environment that includes both the adjustment direction and the adjustment magnitude.

[0059] A correspondence is established between the gas proportioning adjustment parameter and the ratio of hydrogen and high-concentration carbon dioxide gas introduction flow rates. If the current hydrogen to high-concentration carbon dioxide gas introduction flow rate ratio is 1:2, and the gas proportioning adjustment parameter is to increase the carbon dioxide flow rate by 15%, then the calculated adjusted carbon dioxide flow rate is 1.15 times the original flow rate, while keeping the hydrogen flow rate unchanged, the new introduction flow rate ratio is 1:2.3. Through this mapping process, the gas proportioning adjustment parameter is converted into a specific hydrogen to high-concentration carbon dioxide gas introduction flow rate ratio, and this ratio is sent to the gas delivery control equipment to execute flow regulation.

[0060] The beneficial effects are that this gas ratio linkage regulation module obtains a multidimensional growth correlation sequence by arranging multiple types of growth data in chronological order, and then accurately identifies key nodes in microbial growth through dynamic feature analysis, thereby analyzing the growth stage determination markers. At the same time, it obtains an accurate gradient of metabolic activity changes through feature sequence separation and step-by-step calculation. Subsequently, it combines the equilibrium deviation of the fermentation environment for multidimensional correlation coupling, which can accurately determine the direction and magnitude of gas ratio regulation, and finally map it to a specific hydrogen-carbon introduction flow rate ratio. The whole process comprehensively considers the microbial growth state and environmental deviations, ensuring that the regulated flow rate ratio is fully adapted to the metabolic needs of the target microorganisms at different growth stages, effectively avoiding abnormal microbial growth or decreased metabolic efficiency caused by hydrogen-carbon ratio imbalance, and providing precise gas ratio support for building a stable fermentation environment and improving the efficiency of microbial protein co-production.

[0061] The oxygen flux coupling control module 105 is used to perform flux coupling on the oxygen based on the import flow ratio to obtain the real-time supply flow of the oxygen. In this embodiment of the invention, when the oxygen flux coupling control module performs flux coupling on the oxygen based on the imported flow rate ratio to obtain the real-time oxygen supply flow rate, it is specifically used for: Based on the imported flow rate ratio, a mapping relationship is established between the imported flow rate ratio and the metabolic oxygen demand flux of the target microorganism; Based on the mapping relationship, flux correlation mapping is performed on the target microorganism to obtain the oxygen demand flux of the target microorganism; The oxygen demand flux is subjected to feedback self-correction to obtain the corrected flux of the oxygen demand flux. The corrected flux is used as the real-time supply flow rate of the oxygen.

[0062] Experiments were conducted to obtain metabolic oxygen demand (BOD) data of the target microorganism at different growth stages under different ratios of hydrogen and high-concentration carbon dioxide introduction flow rates. Each set of introduction flow rate ratio data was mapped one-to-one with the corresponding BOD data to form a basic data reference table. Based on this reference table, a mapping model between the introduction flow rate ratio and BOD was constructed using a linear fitting method to ensure that any introduction flow rate ratio value in the model corresponds to a unique BOD value, thus establishing the mapping relationship between the introduction flow rate ratio and the BOD of the target microorganism.

[0063] The current real-time ratio of hydrogen to high-concentration carbon dioxide inlet flow rate is obtained from the gas ratio linkage adjustment module. This inlet flow rate ratio value is input into the established mapping relationship model. The model automatically retrieves the corresponding data stored internally based on the input ratio value, finds the metabolic oxygen demand flux data that is exactly matched or closest to the inlet flow rate ratio, and uses the retrieved metabolic oxygen demand flux data as the oxygen demand flux of the current target microorganism, thus completing the flux association mapping of the target microorganism.

[0064] The gas supply and status monitoring analysis module obtains the real-time dissolved oxygen concentration of the fermentation environment. This value is compared with a preset standard dissolved oxygen concentration suitable for the growth of the target microorganisms, and the difference is calculated. If the detected value is lower than the standard concentration, it indicates that the current oxygen demand flux may not meet the needs of the microorganisms. Adjustments are made according to the difference using a preset adjustment coefficient, such as increasing the oxygen demand flux by 5% for every 0.1 mg / L below the standard concentration. If the detected value is higher than the standard concentration, it indicates that the current oxygen demand flux may exceed the needs of the microorganisms. Adjustments are made according to the difference using a preset adjustment coefficient, such as decreasing the oxygen demand flux by 5% for every 0.1 mg / L above the standard concentration. If the detected value matches the standard concentration, the oxygen demand flux remains unchanged. This dynamic adjustment process yields a corrected flux for the oxygen demand flux.

[0065] The obtained oxygen demand correction flux is converted into a flow control signal for the oxygen delivery pipeline. This signal contains a specific oxygen flow rate value. The control signal is sent to the electric control valve on the oxygen delivery pipeline via a data line. After receiving the signal, the electric control valve adjusts its valve core opening according to the flow rate value in the signal, so that the flow rate of oxygen delivered to the fermentation environment through the pipeline is completely consistent with the correction flux. At this time, the oxygen delivery flow rate is the real-time oxygen supply flow rate.

[0066] The beneficial effect is that the oxygen flux coupling control module establishes a precise mapping relationship between the input flow rate ratio and the oxygen demand flux of microbial metabolism, which ensures that the oxygen supply always matches the oxygen demand of microorganisms caused by changes in the hydrogen-carbon ratio. Combined with the dissolved oxygen concentration in the fermentation environment for feedback self-correction, the oxygen demand flux deviation is further eliminated. The resulting real-time oxygen supply flow rate can continuously match the metabolic state of the target microorganisms, avoiding insufficient oxygen supply that inhibits microbial growth or excessive supply that wastes resources. This provides reliable oxygen support for building a stable fermentation environment and ensuring efficient production of microbial proteins.

[0067] The multi-flow coordination and stable environment construction module 106 is used to coordinate the hydrogen, the high-concentration carbon dioxide gas and the oxygen according to the ratio of the real-time supply flow and the import flow, so as to construct a stable environment for the target microorganism. In this embodiment of the invention, when the multi-flow coordination and stable environment construction module performs multi-flow coordination of hydrogen, high-concentration carbon dioxide gas, and oxygen according to the real-time supply flow rate and the import flow rate ratio to construct a stable environment for the target microorganism, it is specifically used for: The ratio of the real-time supply flow rate to the import flow rate is encoded as an adjustment instruction for the fermentation environment; The hydrogen, the high-concentration carbon dioxide gas, and the oxygen are introduced into the fermentation environment using the aforementioned adjustment command; Based on the environmental status feedback of the fermentation environment, the flow parameters in the adjustment command are adjusted to construct a stable environment for the target microorganism.

[0068] First, the real-time oxygen supply flow rate is obtained from the oxygen flux coupling control module, and the ratio of hydrogen to high-concentration carbon dioxide gas inlet flow rate is obtained from the gas ratio linkage adjustment module. According to the preset instruction coding rules, the real-time supply flow rate is converted into specific oxygen flow control parameters, and the inlet flow rate ratio is decomposed into corresponding hydrogen flow control parameters and high-concentration carbon dioxide gas flow control parameters. Then, the flow control parameters of these three gases are integrated into a standardized digital adjustment instruction containing flow rate value and execution time, thus completing the coding of the fermentation environment adjustment instruction.

[0069] The coded adjustment command is sent via data transmission line to the electrically controlled valves on the corresponding delivery pipelines for hydrogen, high-concentration carbon dioxide gas, and oxygen. After receiving the command, each electrically controlled valve precisely adjusts the opening degree of its valve core according to the corresponding gas flow parameters in the command, so that hydrogen, high-concentration carbon dioxide gas, and oxygen are synchronously delivered to the fermentation environment according to the hydrogen flow parameters, high-concentration carbon dioxide gas, and oxygen flow parameters in the command, thus realizing the input of the three gases according to the adjustment command.

[0070] The gas supply and status monitoring and analysis module acquires real-time environmental status data such as dissolved oxygen concentration, residual hydrogen concentration, and residual carbon dioxide concentration in the fermentation environment. These real-time data are compared one by one with preset environmental standard data suitable for the growth of the target microorganism. If one or more real-time data deviate from the standard data, the cause of the deviation is analyzed and the corresponding gas flow parameters in the adjustment command are adjusted. For example, if the dissolved oxygen concentration is lower than the standard, the oxygen flow parameter in the command is increased; if the residual hydrogen concentration is higher than the standard, the hydrogen flow parameter in the command is decreased. After adjustment, the new adjustment command is sent to the electric control valve for execution. This process is repeated until the real-time status data of the fermentation environment continuously meets the standard data, thus constructing a stable environment for the target microorganism.

[0071] The beneficial effect is that this multi-flow coordination and stable environment construction module encodes the real-time supply flow and import flow ratio into standardized adjustment commands, ensuring that hydrogen, high-concentration carbon dioxide gas, and oxygen are synchronously input into the fermentation environment according to precise parameters. Combined with the dynamic adjustment of flow parameters in the commands based on environmental status feedback, it can effectively avoid the interference of single gas flow fluctuations on environmental stability, continuously maintain the matching degree between fermentation environment parameters and the growth requirements of target microorganisms, successfully construct a stable growth environment, provide strong support for the efficient metabolism and rapid accumulation of biomass of target microorganisms, and thus promote the improvement of microbial protein co-production efficiency.

[0072] The microbial protein separation and recovery module 107 is used to separate microbial proteins in the fermentation environment when the biomass concentration of the target microorganism reaches a preset biomass standard under the stable environment.

[0073] In this embodiment of the invention, when the microbial protein separation and recovery module separates the microbial protein in the fermentation environment after the biomass concentration of the target microorganism reaches a preset biomass standard under the stable environment, it is specifically used for: Under the stable environment, when the biomass concentration of the target microorganism reaches the preset biomass standard, solid-liquid separation is performed on the fermentation environment to obtain the biomass concentrate of the target microorganism. The biomass concentrate was subjected to cell wall disruption treatment to obtain a crude protein extract of the biomass concentrate. The crude protein extract was purified by multi-step chromatography to obtain the microbial protein in the fermentation environment.

[0074] Under stable conditions, once the biomass concentration of the target microorganism is continuously monitored and confirmed to have reached the preset biomass standard by a biomass concentration monitor, the fermentation broth in the fermentation environment is poured into the feed channel of a disc centrifuge at a uniform speed. The centrifuge is started and its stable operating speed is maintained, so that the fermentation broth is subjected to centrifugal force in the centrifuge drum. The target microorganism cells settle and aggregate towards the inner wall of the drum, while the fermentation supernatant is discharged along the overflow channel of the inner wall of the drum. After the centrifugation operation is completed, the centrifuge is stopped and the slag discharge port of the drum is opened to collect the settled and aggregated solid components, thus obtaining the biomass concentrate of the target microorganism.

[0075] The obtained biomass concentrate was mixed and diluted with a preset concentration of Tris-HCl buffer at a certain ratio to make the cell concentration of the concentrate suitable for the subsequent cell disruption process. Then, the diluted biomass concentrate was continuously fed into the material chamber of a high-pressure homogenizer through a feed pump. The high-pressure homogenizer was started and a fixed working pressure was set. The concentrate was pushed by the high pressure and passed through the narrow homogenization valve gap in the homogenizer at high speed. Under the instantaneous pressure drop, high-speed shearing and particle impact, the cell walls of the target microorganisms ruptured, and the proteins in the cells were released into the buffer solution. The homogenized mixture was collected into a sterile container to obtain the crude protein extract of the biomass concentrate.

[0076] First, the crude protein extract is slowly injected into a chromatography column packed with strong cation exchange resin using a constant flow pump. The residence time of the liquid in the column is controlled so that impurity proteins in the crude extract are adsorbed by binding with cations on the resin due to their negative charge. The target protein, due to its charge characteristics, is not adsorbed and flows out from the bottom of the chromatography column with the elution buffer. The eluent is collected in a collection bottle. The collected eluent is then pumped to a gel filtration chromatography column packed with dextran gel using a constant flow pump. Taking advantage of the difference in migration speed between gel particles of different molecular weight proteins, small molecule impurity proteins can enter the gel particles and migrate more slowly, so they elute from the chromatography column first. The target protein, due to its large molecular weight, cannot enter the gel particles and migrates more quickly, so it elutes from the chromatography column later. The eluent is monitored with a UV detector, and the elution peak component corresponding to the target protein is collected to obtain the microbial protein in the fermentation environment.

[0077] The beneficial effects are that the microbial protein separation and recovery module efficiently obtains biomass concentrates of target microorganisms through targeted solid-liquid separation steps, fully releases intracellular proteins through high-pressure homogenization and cell disruption, and then precisely removes impurities through multi-step chromatography, which can effectively ensure the recovery rate and purity of microbial proteins, ensuring that the final microbial protein product meets the requirements, providing reliable support for the product recovery of the entire microbial protein co-production system, and further improving the co-production efficiency and practical value of the system.

[0078] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0079] This application embodiment can acquire and process relevant data based on artificial intelligence technology. Artificial intelligence is the theory, method, technology, and application system that uses digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to obtain optimal results.

[0080] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A microbial protein co-production system based on water electrolysis for hydrogen production and industrial tail gas carbon capture, characterized in that, The system includes a water electrolysis hydrogen production module, an industrial exhaust gas carbon capture module, a gas supply and status monitoring and analysis module, a gas ratio linkage regulation module, an oxygen flux coupling control module, a multi-flow coordination and stable environment construction module, and a microbial protein separation and recovery module, wherein: The water electrolysis hydrogen production module is used to obtain hydrogen and oxygen required for the fermentation environment by electrolyzing water. The industrial exhaust gas carbon capture module is used to remove impurities from the industrial exhaust gas and obtain high-concentration carbon dioxide gas from the industrial exhaust gas through pressure swing adsorption. The gas supply and state monitoring and analysis module is used to supply the high-concentration carbon dioxide gas, hydrogen and oxygen to the fermentation environment, and to monitor the dissolved oxygen concentration, residual hydrogen concentration and residual carbon dioxide concentration of the fermentation environment in real time, so as to analyze the equilibrium deviation of the fermentation environment. The gas ratio linkage adjustment module is used to adjust the ratio of the introduced flow rate of hydrogen to that of high-concentration carbon dioxide gas based on the equilibrium deviation and the changes in the growth status indicators of the target microorganism. The oxygen flux coupling control module is used to perform flux coupling on the oxygen based on the import flow ratio to obtain the real-time supply flow of the oxygen. The multi-flow coordination and stable environment construction module is used to coordinate the hydrogen, the high-concentration carbon dioxide gas and the oxygen according to the real-time supply flow rate and the import flow rate ratio, so as to construct a stable environment for the target microorganism. The microbial protein separation and recovery module is used to separate microbial proteins from the fermentation environment when the biomass concentration of the target microorganism reaches a preset biomass standard under the stable environment.

2. The microbial protein co-production system based on water electrolysis for hydrogen production and industrial tail gas carbon capture as described in claim 1, characterized in that, The industrial exhaust gas carbon capture module, when removing impurities from the industrial exhaust gas and obtaining high-concentration carbon dioxide gas through pressure swing adsorption, is specifically used for: Remove solid particulate matter and related harmful substances from industrial exhaust gas; The residual concentrations of the solid particulate matter and the related hazardous substances are assessed to obtain the residual deviation of the solid particulate matter and the related hazardous substances; Based on the residual deviation, the industrial exhaust gas is subjected to flow pattern optimization and purification to obtain purified exhaust gas that meets the standards. The purified exhaust gas was subjected to pressurized selective adsorption to obtain a carbon dioxide-enriched adsorption phase of the purified exhaust gas. The carbon dioxide enriched adsorption phase is subjected to depressurization desorption to obtain crude carbon dioxide gas from the industrial tail gas. The crude carbon dioxide gas is purged and purified to obtain high-concentration carbon dioxide gas from the industrial tail gas.

3. The microbial protein co-production system based on water electrolysis for hydrogen production and industrial tail gas carbon capture as described in claim 1, characterized in that, The gas supply and state monitoring analysis module, when supplying the fermentation environment with the high-concentration carbon dioxide gas, the hydrogen gas, and the oxygen gas, and monitoring the dissolved oxygen concentration, residual hydrogen concentration, and residual carbon dioxide concentration in the fermentation environment in real time to analyze the equilibrium deviation of the fermentation environment, is specifically used for: The high-concentration carbon dioxide gas, hydrogen gas, and oxygen gas are introduced into the fermentation environment; Simultaneously acquire the dissolved oxygen concentration, residual hydrogen concentration, and residual carbon dioxide concentration of the fermentation environment; Difference analysis was performed on the dissolved oxygen concentration, the residual hydrogen concentration, and the residual carbon dioxide concentration to obtain the real-time concentration deviation value and deviation direction of the fermentation environment; Based on the real-time concentration deviation value and the deviation direction, the fermentation environment is dynamically analyzed to obtain the dominant deviation type and comprehensive deviation degree of the fermentation environment. The duration of the deviation in the fermentation environment is obtained by tracking the dominant deviation type over time. By integrating the dominant deviation type, the comprehensive deviation degree, and the deviation duration, the equilibrium deviation of the fermentation environment is obtained.

4. The microbial protein co-production system based on water electrolysis for hydrogen production and industrial tail gas carbon capture as described in claim 3, characterized in that, When the gas supply and state monitoring and analysis module performs difference analysis on the dissolved oxygen concentration, the residual hydrogen concentration, and the residual carbon dioxide concentration to obtain the real-time concentration deviation value and direction of the fermentation environment, it is specifically used for: The dissolved oxygen concentration, the residual hydrogen concentration, and the residual carbon dioxide concentration are quantified by reference to obtain the real-time concentration deviation of the fermentation environment; The real-time concentration deviation is labeled with positive and negative attributes to obtain the deviation direction of the real-time concentration deviation.

5. The microbial protein co-production system based on water electrolysis for hydrogen production and industrial tail gas carbon capture as described in claim 1, characterized in that, The gas ratio linkage adjustment, when performing the linkage adjustment of the introduction flow ratio of hydrogen and high-concentration carbon dioxide gas based on the equilibrium deviation and changes in the growth status indicators of the target microorganism, is specifically used for: Growth kinetics were analyzed to determine the growth period markers and metabolic activity gradients of the target microorganism by analyzing the changes in its growth status indicators. By performing multi-dimensional correlation coupling between the equilibrium deviation, the growth period determination indicator, and the metabolic activity change gradient, the gas ratio regulation parameters of the fermentation environment are obtained. The gas ratio adjustment parameter is mapped to the ratio of the introduced flow rate of hydrogen to that of the high-concentration carbon dioxide gas.

6. The microbial protein co-production system based on water electrolysis for hydrogen production and industrial tail gas carbon capture as described in claim 5, characterized in that, The gas ratio linkage regulation, when performing growth kinetic analysis on changes in the growth status indicators of the target microorganism to obtain the growth stage determination markers and metabolic activity change gradients of the target microorganism, is specifically used for: By arranging the biomass concentration data, key physicochemical parameter data, and specific metabolite generation rate data of the target microorganism, a multidimensional growth association sequence of the target microorganism is obtained. Dynamic feature analysis was performed on the multidimensional growth association sequences, and the biomass growth inflection point, plateau initiation point, and metabolic rate mutation point of the multidimensional growth association sequences were identified. Based on the biomass growth inflection point, the plateau phase initiation point, and the metabolic rate mutation point, the growth period determination markers of the target microorganism are analyzed. The multidimensional growth association sequence is subjected to feature sequence separation to obtain the specific growth rate sequence and the specific product formation rate sequence of the multidimensional growth association sequence; The metabolic activity gradient of the target microorganism is calculated based on the specific growth rate sequence and the specific product formation rate sequence.

7. The microbial protein co-production system based on water electrolysis for hydrogen production and industrial tail gas carbon capture as described in claim 6, characterized in that, The formula for calculating the gradient of metabolic activity change is as follows: ; In the formula, This represents the gradient of changes in metabolic activity. This indicates that the specific growth rate sequence is at time point The instantaneous value of the specific growth rate at that time. This indicates that the product formation rate sequence is at the specified time point. The instantaneous value of the product formation rate at that time. This indicates that the preset length is The moving average of the relative growth rate sequence within the time window, This represents the moving average of the product formation rate sequence within the time window. This represents the standard value of the specific growth rate sequence within the stated time window. This represents the standard value of the product formation rate sequence within the stated time window. This represents the preset growth rate threshold. This represents the preset synthesis rate threshold. This represents the preset gain coefficient. This represents the preset base weight coefficient. This represents the preset base weight coefficient. Indicates An exponential function with base 0.

8. The microbial protein co-production system based on water electrolysis for hydrogen production and industrial tail gas carbon capture as described in claim 1, characterized in that, When the oxygen flux coupling control module performs flux coupling on the oxygen based on the imported flow rate ratio to obtain the real-time oxygen supply flow rate, it is specifically used for: Based on the imported flow rate ratio, a mapping relationship is established between the imported flow rate ratio and the metabolic oxygen demand flux of the target microorganism; Based on the mapping relationship, flux correlation mapping is performed on the target microorganism to obtain the oxygen demand flux of the target microorganism; The oxygen demand flux is subjected to feedback self-correction to obtain the corrected flux of the oxygen demand flux. The corrected flux is used as the real-time supply flow rate of the oxygen.

9. The microbial protein co-production system based on water electrolysis for hydrogen production and industrial tail gas carbon capture as described in claim 1, characterized in that, The multi-flow coordination and stable environment construction module, when performing multi-flow coordination of hydrogen, high-concentration carbon dioxide gas, and oxygen according to the real-time supply flow rate and the import flow rate ratio to construct a stable environment for the target microorganism, is specifically used for: The ratio of the real-time supply flow rate to the import flow rate is encoded as an adjustment instruction for the fermentation environment; The hydrogen, the high-concentration carbon dioxide gas, and the oxygen are introduced into the fermentation environment using the aforementioned adjustment command; Based on the environmental status feedback of the fermentation environment, the flow parameters in the adjustment command are adjusted to construct a stable environment for the target microorganism.

10. The microbial protein co-production system based on water electrolysis for hydrogen production and industrial tail gas carbon capture as described in claim 1, characterized in that, When the microbial protein separation and recovery module is used in the stable environment to separate the microbial protein from the fermentation environment after the biomass concentration of the target microorganism reaches a preset biomass standard, it is specifically used for: Under the stable environment, when the biomass concentration of the target microorganism reaches the preset biomass standard, solid-liquid separation is performed on the fermentation environment to obtain the biomass concentrate of the target microorganism. The biomass concentrate was subjected to cell wall disruption treatment to obtain a crude protein extract of the biomass concentrate. The crude protein extract was purified by multi-step chromatography to obtain the microbial protein in the fermentation environment.