590 results about "Biochemical reactions" patented technology

The invention discloses a method for inverting key parameters in an underground water pollutant biodegradation numerical model based on a neural network algorithm. Carrying out preprocessing and refined dimension reduction on the data, and processing high-dimensional multi-scale data; building a multilayer neural network architecture under a physical information neural network framework, embedding a related reaction equation of a pollutant natural attenuation process, and coupling a biochemical reaction mechanism and a data driving model; a neural network model is trained, errors in the training process are calculated, and the accuracy of an inversion result is improved by using a sub-when optimization algorithm; integrating observation data and a model prediction result, determining final parameter setting of a numerical model, and carrying out underground water damage real object quantification; comparative verification of a neural network parameter inversion model is carried out, and feasibility and accuracy of the parameter inversion method are ensured. According to the method, the problem that the key parameters of the biodegradation numerical model are difficult to accurately invert in the real object quantification process of underground water pollution under complex geological conditions is solved.

Disclosed is a system for detecting whether the breast cancer is benign or malignant based on multiple modalities, which comprises: an ultrasonomics model configured to extract breast tumor position information and breast tumor morphological features on the basis of an acquired grayscale breast ultrasound image, perform global interactive fusion on the breast tumor position information and breast tumor morphological feature information, and convert a Transformer encoder-based feature output into an output vector of the corresponding classification dimensions by means of a fully connected layer; a metabonomics model configured to obtain a metabolic fingerprint spectrogram and analyze the metabolic fingerprint spectrogram on the basis of a metabolic database and a predetermined significantly differential metabolite to obtain abnormal metabolic pathways, signal transduction pathways, and related biochemical reactions associated with breast cancer malignancy; and a detection module configured to perform joint modeling, based on the breast tumor position information, the breast tumor morphological features, and a peak value of the significantly differential metabolite of the breast cancer malignancy, to output a prediction result about whether the breast cancer is benign or malignant.

The invention relates to the technical field of sewage treatment, in particular to an aerobic aeration treatment system for plateau domestic sewage treatment, which comprises a pretreatment unit, a biological treatment unit, an advanced treatment unit and a recycling unit which are connected in sequence, the system further comprises a data acquisition module, an aerobic aeration intelligent regulation and control module, a biochemical environment constant-temperature maintenance module, a carbon-nitrogen proportion and backflow dynamic regulation and control module, a digital twinning and sludge characteristic simulation module and an energy collaborative scheduling module. Compared with the prior art which adopts a standard aeration strategy and cannot adapt to the special environment of low air pressure and low oxygen partial pressure of the plateau, the system can accurately adapt to the plateau environment by integrating real-time atmospheric pressure and water temperature monitoring, dynamically calculating the oxygen saturation solubility and correcting the aeration control target according to the oxygen saturation solubility, so that the aeration control target is optimized. Stable supply of dissolved oxygen required by biochemical reaction is ensured, and the technical bottleneck of low efficiency of traditional sewage treatment in plateau regions is fundamentally overcome.

A device and method for enhancing nitrogen and phosphorus removal based on a multistage AO partial denitrification coupled with Anammox process in combination with a sludge hydrolytic acidification mixture belong to the technical field of active sludge method wastewater treatment. A system includes a water tank, a water pump, a biochemical reaction zone, a hydrolytic acidification tank and other devices. A multistage AO step-feed pipeline is used to inject raw water into the reaction zone in a segmented manner, guaranteeing efficient utilization of organic matter in the raw water; biofilm carriers are added into an anaerobic zone and anoxic zones to enrich anammox bacteria, and nitrite nitrogen produced by partial denitrification provides a substrate for the anammox bacteria to realize autotrophic nitrogen removal; a nitrification and phosphorus accumulating bacteria aerobic phosphorus uptake are performed in aerobic zones; and part of excess sludge in a secondary sedimentation tank enters the hydrolytic acidification tank to convert macromolecular organic matter into low molecular weight organic matter, a hydrolytic acidification mixture and the excess sludge in the secondary sedimentation tank synchronously flow back to the anaerobic zone, and as a high-quality carbon source, the low molecular weight organic matter can promote partial denitrification. The system provides a novel method for efficient and energy-saving treatment of municipal wastewater.

The invention belongs to the technical field of biological prediction, and discloses an enzyme-reaction relationship prediction method based on representation learning, which comprises the following steps: acquiring and preprocessing related data of an enzyme-reaction relationship, and constructing an enzyme-reaction relationship database; a multi-modal fusion framework is adopted, a protein language model based on a sequence and a structure and a biochemical reaction language model improved based on functional groups are integrated, and an enzyme-reaction relation prediction model is constructed in combination with an interpretable mechanism; and outputting a binary classification prediction result corresponding to the simplified molecular linear input standard expression of the protein enzyme sequence and the biochemical reaction based on the enzyme-reaction relationship prediction model. According to the method, time consumption and cost in the prediction process can be effectively reduced, function inference on certain novel or unique protein sequences can be realized, in addition, the prediction accuracy can be effectively improved, and researchers are helped to understand the enzymatic reaction mechanism after prediction.

The invention relates to the technical field of sewage treatment, and discloses a sewage chemical characteristic identification-based treatment flow intelligent control method, which comprises the following steps of: acquiring inlet water chemical fingerprint spectrum data through a spectrum sensor deployed in a sewage pipe network, and predicting the time when the inlet water reaches a treatment plant; before inflow water arrives, inputting the fingerprint data into a biochemical reaction potential analysis model to obtain a biochemical reaction potential vector, and calculating a hydraulic affinity score of each parallel biochemical treatment unit according to the biochemical reaction potential vector; in combination with sludge function portrait data acquired from the plant, a targeted gain affinity score for deploying a specific return sludge source to a specific biochemical treatment unit is calculated. According to the method, based on the two scores, the optimal flow distribution and sludge allocation strategy is cooperatively determined through optimization solution, so that water quality impact is effectively dealt with, stable operation of the system is ensured, and the impact resistance and stability of the system are remarkably improved.

The invention relates to the technical field of sewage treatment automatic control, and discloses a control system for a sewage treatment plant, which comprises a multi-modal biosensing module, the multi-modal biosensing module is deployed in an anaerobic zone and an aerobic zone of a biochemical reaction tank, and a cloud edge collaborative data processing module comprises an edge calculation module and a cloud optimization platform. The edge calculation module preprocesses data collected by the multi-mode biosensing module and executes emergency control, the cloud optimization platform operates the multi-target dynamic optimization module and the digital twin model, and the self-adaptive decoupling controller receives control parameters output by the multi-target dynamic optimization module. By deploying the multi-modal biosensing modules in the anaerobic zone and the aerobic zone, the real-time acquisition of biochemical reaction parameters of each zone along the way is realized, and the microbial metabolic activity change in the biological reaction process can be accurately captured in combination with the pretreatment of the edge calculation module and the analysis of the cloud optimization platform.

The invention discloses a sewage treatment carbon source addition intelligent control method and system based on a hybrid model. The method comprises the following steps: determining a biochemical reaction mechanism model and an AI model; setting an expected value of the reference quantity; a real-time detection data acquisition step: acquiring real-time detection data of each sensor of the sewage treatment plant; a single model suggested control value acquisition step: respectively acquiring a suggested control value ME of the biochemical reaction mechanism model and a suggested control value MAI of the AI model; obtaining a suggested control value M of the hybrid model; and an equipment control step: taking the suggested control value M as the final carbon source feeding amount, and controlling feeding equipment of the carbon source feeding system to perform carbon source feeding operation according to the suggested control value M. The sewage treatment carbon source adding intelligent control method and system based on the hybrid model have the advantages that the advantages of the mechanism model and the AI model are comprehensively utilized, the optimal control decision is obtained, the working efficiency of sewage treatment is improved, and the operation and maintenance cost is reduced.

The invention discloses a membrane filtration sewage treatment system based on fine control, relates to the technical field of sewage treatment, and solves the technical problems of delayed response to water quality and water quantity fluctuation and extensive biochemical reaction control caused by water inlet load impact in an existing sewage treatment system. The system comprises an inflow water pretreatment module used for predicting inflow water quality in real time by using a water quality prediction model based on a neural network, and carrying out water quantity balance and water quality adjustment on inflow water according to a prediction result to obtain a first water body; the biochemical reaction module is used for cooperatively controlling external carbon source addition, nitrification liquid backflow and aeration intensity in the biological reaction process of the first water body by utilizing a multivariable model predictive control method to obtain a second water body after biochemical reaction; and the deep purification module is used for carrying out solid-liquid separation and deep purification on the second water body to obtain an effluent water body, and triggering cleaning and maintenance operation of the membrane based on a prediction result of the membrane pollution characteristics.

Integrated target waveguide devices and optical analytical systems comprising such devices are provided. The target devices include an optical coupler that is optically coupled to an integrated waveguide and that is configured to receive optical input from an optical source through free space, particularly through a low numerical aperture interface. The devices and systems are useful in the analysis of highly multiplexed optical reactions in large numbers at high densities, including biochemical reactions, such as nucleic acid sequencing reactions. The devices provide for the efficient and reliable coupling of optical excitation energy from an optical source to the optical reactions. Optical signals emitted from the reactions can thus be measured with high sensitivity and discrimination. The devices and systems are well suited for miniaturization and high throughput.

The invention discloses a human metabolism multi-task analysis method based on a large language model, which comprises the following steps of: firstly, constructing a unified multi-task data set containing metabolic reaction prediction, and converting tasks such as compound expert description, enzyme classification, reaction type identification and product prediction into a standardized'question-thinking-answer 'text format; and then a Qwen2.5-7B large language model is adopted as an infrastructure, and supervised training is performed through a training parameter fine tuning technology, so that the model can infer the biochemical reaction process. Experimental results show that the method disclosed by the invention has relatively high efficiency and accuracy in a test with the same standard as those of Deepseekv3 and Qwen 2.5-7B.

According to the application of the controllable delivery of the multi-membraneless compartment interlamellar substances in the cell-free system, two independent and coexisting protein enrichment phases are rapidly formed in the optimized cell-free system by utilizing the protein expression of a protein expression vector and adding histidine tag (His Tag) protein, namely, after the multi-membraneless compartment is formed, the two independent and coexisting protein enrichment phases are separated from the cell-free system, and the cell-free system can be used for controlling the delivery of the multi-membraneless compartment interlamellar substances in the cell-free system. And controllable delivery of micromolecular substances and macromolecular substances in multiple membrane-free zone chambers is carried out. The multiple membrane-free compartments constructed by the invention can controllably enrich specific active components and biochemical reactions in a cell-free system into the compartments and separate the specific active components and biochemical reactions from other complex metabolic reactions, and due to the high dynamic nature of the compartments, controllable communication between biomolecules and the external environment and among multiple compartments can be realized; further, the accuracy and controllability of metabolic reaction are greatly improved, and a solid foundation is laid for application of a cell-free system in the aspects of complex metabolic pathway exploration, multi-enzyme catalysis, drug delivery and the like.

The invention discloses an enzymatic reaction monitoring method based on an optical bar code, and belongs to the technical field of optical fiber microcavity sensing and biological sensing. The inner surface of a microbubble cavity is coated with a polymer sensitive to pH, and when the polymer is exposed in a specific enzymatic reaction solution, the polymer can be combined with hydrogen ions generated after a reaction of a solution to be detected, so that the refractive index of the polymer is changed; then an optical bar code database is established, corresponding optical bar code information and the pH value are extracted from the database according to the detected enzymatic reaction spectrum, and pH value monitoring of the enzymatic reaction solution to be detected is completed. According to the method, the pH value of the specific acid solution can be conveniently and efficiently detected, and biological information such as the pH value can be intuitively monitored by utilizing an optical barcode technology in an echo wall mode. The method can extract additional information related to the biosensing process from the overall behavior of the WGM spectrum, and can be widely applied to the fields of biochemical reaction detection, environmental protection and the like.

An integrated slide, a liquid changing apparatus, and a biochemical substance analysis system and analysis method. The integrated slide comprises a biochip and an ink-jet chip packaged above the biochip, the biochip and the ink-jet chip defining a biochemical reaction chamber; the ink-jet chip is communicated with the biochemical reaction chamber and is capable of adding into the biochemical reaction chamber a reagent needed by a biochemical reaction, or discharging from the biochemical reaction chamber a residual reagent which has undergone a reaction; the biological chip can implement in-situ signal detection. In the present application, the biochemical substance analysis system using the integrated slide can implement an integrated operation of sample addition, biochemical substance analysis and imaging, thereby simplifying the system structure, reducing reagent losses, helping to improve detection efficiency and reducing detection costs.

An automatic sample preparation system comprises a consumable storage module, a liquid drop generation module, a biochemical reaction module, a quantification module and a scheduling transfer module, and the consumable storage module is used for storing consumables; the droplet generation module is used for generating micro-droplets containing biological samples; the biochemical reaction module comprises a plurality of biochemical reaction devices, and each biochemical reaction device is used for executing one or more sub-processes in gene sequencing sample preparation; the quantification module is used for quantitatively detecting the concentration of a product sample obtained in the sample preparation process; the dispatching and transferring module is used for grabbing and transferring the consumables and the samples and moving among all the positions along a preset path to complete transferring of the consumables and / or liquid. According to the automatic sample preparation system provided by the invention, a one-button single cell automatic sample preparation process is realized, a library sample for gene sequencing can be output after the sample is input, human intervention is reduced, manual operation errors are reduced, manpower is saved, the cost is reduced, and the result is more accurate and reliable.

The invention belongs to the technical field of biochemical pharmacy, and particularly relates to a bezoar intermediate and a preparation method of bezoar. The preparation method comprises the following steps: mixing preparation raw materials and biochemical reaction liquid to obtain a mixed raw material solution; the preparation raw materials comprise bilirubin, organic active raw materials and vitamins, the biochemical reaction liquid is sterile purified water, and the bilirubin comprises bilirubin or biliverdin; and reacting the mixed raw material solution to obtain the bezoar intermediate. The content of combined bilirubin in the bezoar intermediate prepared by the preparation method provided by the invention is 75%-85%, the content of combined biliverdin is 73%-83%, and the yield is 83%-87%. According to the method, the poisoning and destroying effects of mycotoxin on the content, the yield, the biological activity and the oxidation resistance of the bezoar intermediate are effectively eliminated. The content, the yield, the oxidation resistance and the biological activity of the bezoar intermediate are greatly improved, the performance is stable, and the quality of bezoar is ensured.

The application discloses a kind of synchronous denitrification and phosphorus removal light materials and its preparation and application method, belong to environmental functional materials and sewage treatment technical field.The application is obtained by fully melting and dispersing sulfur and iron-based component, and the iron-based component is a mixture of pyrite and calcium-magnesium carbonate.The molten mixture is foamed to form a synchronous denitrification and phosphorus removal light material.The synchronous denitrification and phosphorus removal light material has high porosity, large specific surface area, light weight and high reactivity.The light material is used as a microbial carrier and an electron donor for biochemical reactions, and is applied to fixed bed, fluidized bed and other reactors for sewage treatment.The light material has good microbial adhesion performance, high denitrification rate and good phosphorus removal effect.

The invention discloses an image registration method, a method for detecting an image recognition basic group and computer equipment, and relates to the technical field of image processing, an image comes from a detection system for realizing sequencing based on patterned surface microscopic imaging, and a surface area reflected by the image is a regular patterned surface. Comprising a plurality of labeling areas and reaction areas which are regularly arranged and adjacent to each other, each labeling area comprises at least two non-parallel extension directions, and a plurality of reaction sites are regularly arranged in each direction. The layout information of the patterned surface area and the characteristics are combined with the information or signal difference or change of biochemical reaction signals reflected on the image, and rough registration is carried out through the global feature of the mark area on the surface area or the reference point distribution in the mark area. And fine registration is carried out through the local feature of bright spot distribution near the reference point, so that the position of the reference point can be accurately and reliably determined, and high-precision registration of the image and the reference template is realized.

The invention discloses an optimized 3-nitrophenylhydrazine derivatization method and an application of the optimized 3-nitrophenylhydrazine derivatization method. According to the optimized method disclosed by the invention, the alpha-keto acid metabolite is subjected to direct derivatization reaction by adopting 3-nitrophenylhydrazine; the method comprises the following steps: carrying out a 3-nitrophenylhydrazine / 1-ethyl-(3-dimethylaminopropyl) carbodiimide / pyridine derivatization reaction on a metabolite only containing carboxyl; a 3-nitrophenylhydrazine derivatization method or a 3-nitrophenylhydrazine / 1-ethyl-(3-dimethylaminopropyl) carbodiimide / pyridine derivatization method or a non-derivatization method is adopted for metabolites only containing carbonyl; a non-derivatization method is adopted for other metabolites. According to the method disclosed by the invention, a specific reaction with carbonyl and carboxyl can be carried out, so that non-targeted metabonomics analysis is enhanced, and metabolites in a biological sample can be more comprehensively analyzed.

The invention relates to the field of medical artificial intelligence, and discloses a CRRT data omnibearing acquisition and optimization processing system based on artificial intelligence, and the system comprises an acquisition calibration module which is used for acquiring CRRT equipment parameters, physiological signals and laboratory inspection data, forming multi-source data, and carrying out the time alignment and space calibration of the multi-source data, and obtaining calibration data; the modeling estimation module is used for constructing a space-time dynamic model for substance transportation and biochemical reaction in the CRRT treatment process based on a random partial differential equation, estimating a state variable in combination with calibration data, and generating high-dimensional state data; and the fusion reasoning module is used for carrying out dimensionality reduction and adversarial denoising processing on the high-dimensional state data. Through multi-source acquisition and space-time calibration of CRRT equipment parameters, physiological signals and laboratory data, a treatment data basis is constructed, space-time dynamics modeling of substance transportation and biochemical reaction is performed based on a random partial differential equation, and dynamic description of a treatment process is realized.

The invention provides an FPVA biochip layout method considering reagent type difference in unit multiplexing, which comprises the following steps of: modeling a biochip layout task as a Markov decision process: according to the size of an input FPVA chip, the dependency relationship of each operation in a biochemical reaction sequence diagram, the reagent type contained in each operation and a binding scheduling scheme, determining the FPVA biochip layout task; initializing an FPVA mesh model and defining a state space, an action space and a reward function; wherein the reward function is set according to the total unit multiplexing complexity of the current layout scheme, the legality of the current component layout and the distance between the component and the center point of the FPVA chip; and finally, completing the FPVA biochip layout through the dual deep Q network based on a Markov decision process. By designing a reward function, the unit multiplexing complexity is minimized, and the distance between components containing the same type of reagents is reduced, so that the purposes of minimizing the cross contamination degree of a final layout scheme, the total length of a fluid transportation path and the bioassay completion time are achieved.

A biochemical substance analysis system and a biochemical substance analysis method, the biochemical substance analysis system comprises a biochemical reaction module, a liquid change module, an imaging detection module, a transfer module and a stage, a biochip is located on the stage, and the transfer module drives the stage to be movably arranged relative to the biochemical reaction module, the liquid change module and the imaging detection module; the liquid changing module can print a reaction layer with a preset thickness on the biological chip; a reaction control device in the biochemical reaction module and the carrying table can form a reaction chamber for reaction of a sample to be detected and a reagent; and the imaging detection module can perform imaging acquisition on the reacted sample to be detected. The biochemical reaction module, the liquid change module, the imaging detection module and the transfer module are integrated in one system, so that the integrated operation of sample adding, biochemical substance analysis and imaging can be realized, the system structure is simplified, the reagent loss is reduced, the biochemical detection efficiency is improved, and the biochemical detection cost is reduced.

The invention provides an up-to-standard treatment method for wastewater containing ammonia nitrogen and difficult-to-treat copper-cyanogen, and belongs to the field of wastewater treatment.The wastewater enters a first-stage oxidation reactor at first, the stable structure of a copper-cyanogen complex is destroyed by adding an oxidizing agent, then a copper removal agent and a pH adjusting agent are added into a copper removal reactor, copper ions are precipitated and separated out, and then the wastewater enters a second-stage oxidation reactor; the method comprises the following steps: carrying out oxidation and solid-liquid separation to remove copper sludge, carrying out oxidation and solid-liquid separation on treated overflow liquid and press filtrate after convergence so as to thoroughly remove residual cyanide and organic matters, and finally, conveying purified liquid which is subjected to two-stage oxidation and is subjected to copper cyanide interference removal to a biological reaction system to carry out biochemical reaction. And finally, the effluent reaches the recycling or discharging standard. The method effectively solves the problem of toxicity inhibition of difficult-to-treat wastewater on a biochemical system, realizes step-by-step removal and resource utilization of toxic and harmful substances, ensures stable and up-to-standard reuse or discharge of effluent, and has the advantages of efficient treatment, economy, environmental protection and convenient operation.

The invention discloses a device and a method for treating high-nitrogen low-carbon wastewater by coupling iron-based porous combined filler with biological enhancement. The device comprises a sewage tank, a biochemical reaction device and a sludge controllable screening type sedimentation tank which are communicated in sequence, wherein the biochemical reaction device is divided into a front anoxic zone, an aerobic zone, a micro-aerobic zone and a rear anoxic zone according to the water flow direction; iron-based porous combined fillers are placed in the front anoxic zone and the rear anoxic zone, and porous fillers are placed in the aerobic zone and the micro-aerobic zone; the sludge controllable screening type sedimentation tank is provided with a partition plate, the front end area of the partition plate is a first screening area which is communicated with the front anoxic area, and the rear end area of the partition plate is a second screening area which is communicated with a sludge discharge pipe and a water outlet pipe. According to the present invention, the carbon source requirement can be substantially saved in the treatment of high ammonia nitrogen and low carbon nitrogen ratio sewage, the excess sludge yield is reduced, the sludge sedimentation performance is improved, and the effluent quality is improved.

The invention discloses a digital analysis method and system based on nano lens high signal-to-noise ratio holographic imaging, and belongs to the field of biochemical analysis. According to the invention, the microsphere nanoprobe is combined with a high signal-to-noise ratio holographic microscopic imaging technology, the number of microsphere signal probes in a supernatant / immune complex is changed through a series of biochemical reactions, and high signal-to-noise ratio holographic imaging is carried out on the PS microsphere nanoprobe in the supernatant after magnetic separation; in the holographic imaging process, the surface acoustic wave-interdigital transducer is used for driving and forming a high-signal-to-noise-ratio lensless holographic microscope of a nano lens; and obtaining the number of the microsphere signal probes in the holographic image by using a lightweight unsupervised learning target detection algorithm, and finally realizing accurate quantitative detection of the target object to be detected. Experimental results show that the detection sensitivity and efficiency are effectively improved, and meanwhile the detection accuracy is improved.

The invention provides a radioactive medical waste liquid purification treatment modular system and method, and the system comprises waste liquid collection equipment, a solid-liquid separation module, a biochemical reaction module, a membrane separation module, an ion exchange module and an online monitoring device which are sequentially connected through pipelines, the modules can be used in a series-parallel combination manner according to the use requirements of users and the parameters of waste liquid source items, so as to meet different use requirements. The waste liquid collection equipment, the solid-liquid separation module, the biochemical reaction module and the ion exchange module are connected with the gas filter and the industrial dust collector through exhaust pipelines; the ion exchange module is connected with the movable suction device, and the waste adsorption material in the ion exchange module is pumped out and then stored in the waste steel barrel. According to the radioactive medical waste liquid purification treatment modular system and the purification treatment method thereof, few reagents are added, the reaction conditions are simple, the purification effect is good, and the treatment efficiency is high.

An integrated slide, a liquid changing device, a biochemical substance analysis system and an analysis method.The integrated slide comprises a biochip and an ink jet chip packaged above the biochip, the biochip and the ink jet chip define a biochemical reaction cavity, the ink jet chip is communicated with the biochemical reaction cavity, and the biochemical reaction cavity is communicated with the liquid changing device. Reagents required by biochemical reaction can be added into the biochemical reaction cavity, or reacted residual reagents in the biochemical reaction cavity can be discharged; and the biochip can realize in-situ signal detection. According to the biochemical substance analysis system applying the integrated slide glass, integrated operation of sample adding, biochemical substance analysis and imaging can be realized, the system structure is simplified, the reagent loss is reduced, the detection efficiency is favorably improved, and the detection cost is reduced.

The invention discloses a microorganism-nano synergistically reinforced cement-based composite material for self-repairing concrete cracks, which realizes the self-repairing and performance improvement of the cracks through the synergistic effect of bacillus pseudofirmus, carbon nanotubes, nano magnesium oxide and red mud. The material has the following characteristics: bacillus pseudofirmus is used as a microbial remediation agent, and dormant spores are activated when meeting water and oxygen and then are subjected to a series of biochemical reactions to induce calcium carbonate precipitation products so as to effectively fill microcracks; the carbon nano tube network structure not only enhances the mechanical property of the concrete, but also can provide a channel for directional deposition of a repairing substance; the nano magnesium oxide compensates shrinkage stress through hydration reaction, and meanwhile, a proper alkaline environment is maintained to guarantee microbial activity; the industrial waste red mud is used for replacing part of cement, so that carbon emission is reduced, and microorganisms are fixed by utilizing the porous characteristic of the red mud.

The invention relates to the technical field of intelligent regulation and control, and discloses an intelligent regulation and control method for combined composting of waste mushroom sticks and livestock manure based on the Internet of Things. The method comprises the following steps: performing three-dimensional monitoring on a composting site through an Internet of Things sensor, constructing a strong-connectivity directed topological graph based on the cellulose content of mushroom sticks and the nitrogen-phosphorus ratio of livestock and poultry manure, generating a feasibility detection report by applying a biochemical reaction adaptability detection algorithm, distributing tasks of multi-actuator equipment according to the emergency degree, and planning a collaborative operation path. And performing precise regulation and control by utilizing a regulation and control parameter combination of the mushroom stick-excrement mixing proportion coefficient regulation equipment, and finally evaluating a regulation and control effect and adaptively updating a mixing proportion coefficient parameter. According to the invention, the problems of insufficient regulation and control precision, low equipment cooperation efficiency and lack of parameter optimization capability caused by lack of an intelligent cooperative regulation and control method based on the Internet of Things in the existing waste mushroom stick livestock and poultry manure composting technology are solved.