10963 results about "Biochemical engineering" patented technology

The invention relates to the technical field of cell culture data processing, in particular to a cell culture information data management method and system. The method comprises the following steps: performing culture environment multi-parameter high-frequency real-time monitoring on a cell culture environment box to obtain multi-dimensional cell culture environment time sequence parameters; performing culture environment key disturbance parameter screening on the multi-dimensional cell culture environment time sequence parameters to generate environment key disturbance parameters; acquiring historical cell culture batch data; based on historical cell culture batch data, carrying out multi-parameter coordinated regulation and control on the environment key disturbance parameters to obtain a cell culture environment regulation and control strategy; regulating and controlling the cell culture process according to the cell culture environment regulation and control strategy, and performing cell culture knowledge graph construction on historical cell culture batch data to obtain a cell culture management knowledge graph. According to the invention, intelligent management of cell culture data is realized through construction of the cell culture knowledge graph.

The invention relates to the technical field of oil exploitation, and discloses a compound containing an amide group as well as a preparation method and application thereof. The compound containing the amide group has a structure as shown in a formula (1). The polymer obtained by polymerizing the compound can improve the water-drive recovery efficiency of conventional oil reservoirs and common heavy oil reservoirs. # imgabs0 #

The invention relates to the technical field of microbial fermentation control, in particular to an automatic microbial reaction fermentation control system and a control method. The method comprises the following steps: collecting real-time microbial environment parameters and identifying a data multi-axis structure, extracting master control environment interval data, eliminating redundant signals to generate standard microbial environment data, defining a fermentation degree contrast template through fermentation historical records, and constructing a microbial fermentation timeline framework. The method comprises the following steps: acquiring standard environmental data, identifying a fermentation state of the standard environmental data, constructing a simulated microbial environmental field by using the standard microbial environmental data, performing global microbial reaction simulation, determining fermentation reaction structure partitions based on the data, performing difference comparison to generate fermentation difference data, and performing compensation simulation by using the difference data. And automatic fermentation compensation control of microorganisms is realized. According to the invention, the intelligent automatic control and optimization of the microbial fermentation process are realized, the fermentation efficiency and stability are obviously improved, and the manual intervention is reduced.

The invention relates to the technical field of fermentation control, in particular to an intelligent optimization control system of an aroma-enhancing compound leavening agent, which comprises a strain culture selection module, a fermentation process monitoring module, an environment optimization adjustment module and a fermentation effect evaluation module. According to the method, accurate analysis and optimization of microbial reaction in the fermentation process are realized, the selection efficiency of the strain culture combination is improved, the fermentation process can be carried out under the optimal condition, the efficiency of biological reaction is remarkably improved, potential risks and behavior abnormalities can be recognized in time through analysis of time sequence data, and the safety of the fermentation process is improved. The fermentation control process is optimized by dynamically adjusting key parameters, environmental parameters are adjusted through a nonlinear regression model and monitored in real time, the environmental stability is enhanced, it is ensured that the fermentation process is continuous and efficient, data of the whole process are comprehensively analyzed, the fermentation effect is accurately evaluated, multiple performance indexes are quantified, and the quality of a leavening agent is improved.

The invention belongs to the technical field of agricultural sensing data management and control, and particularly relates to a vision-based multi-modal data fusion intelligent monitoring culture method and system, and the method comprises the steps: obtaining the growth image data and environmental parameter data of a strain based on a multi-sensor information source; identifying the growth image data through a deep learning algorithm, and outputting an image identification result; performing fusion processing on the image recognition result and the environment parameter data through a multi-data fusion algorithm to generate a comprehensive environment evaluation index; importing the comprehensive environment evaluation index and the abnormal state information into a growth environment control model, generating an environment regulation and control instruction conforming to a preset strain growth index, and executing the environment regulation and control instruction through an environment regulation and control module; the system can be used for realizing comprehensive environment monitoring, accurately evaluating the strain growth environment condition, and avoiding errors and one-sidedness caused by a single data source, so that culture environment parameters are dynamically adjusted.

The invention discloses a method and a device for modifying and recycling waste plastics. The method comprises the following steps: carrying out multi-band electromagnetic resonance sorting on plastic fragments, distinguishing plastic types through an intelligent recognition algorithm, and synchronously adopting high-frequency eddy current sorting to remove metal impurities, so as to obtain classified plastic fragments; then supercritical fluid treatment is conducted, impurities are removed through a pressure oscillation system, obtained purified plastic fragments, a chain extender and nanofiller are jointly fed into solid-state shearing equipment, a molecular chain repairing reaction is triggered through a temperature control system, then the purified plastic fragments are injected into an intelligent forming system, and technological parameters are dynamically adjusted based on real-time monitoring data; forming a microstructure self-repairing replica through gradient cooling to obtain a regenerated plastic product, and embedding a traceable chip into the regenerated plastic product; impurity separation efficiency is improved through electromagnetic-vortex synergistic separation, microporous pollutants are deeply removed through supercritical fluid treatment, aged molecular chains are effectively repaired through a solid-state shearing chain extension technology, the microstructure of a product is optimized, and the strength and quality of the regenerated plastic product are improved.

The invention discloses a melon vegetable virus disease identification method and system constructed based on a sensor array. The method comprises the following steps: generating a dynamic thermodynamic diagram by collecting insect activity data of a target planting area, constructing a virus disease propagation distribution diagram in combination with an entomophilous propagation probability model, and deploying an initial sensor array according to the virus disease propagation distribution diagram; plant physiological parameters and environmental data are obtained in real time through multiple sensors, a virus disease recognition model fused with entomophilous activity characteristics is constructed, and early diagnosis of diseases is achieved; and evaluating the efficiency of the sensor array based on a recognition result, and dynamically adjusting the array layout by adopting a self-adaptive optimization algorithm to form an optimized network with balanced monitoring precision and resource efficiency. The virus disease detection sensitivity and accuracy are remarkably improved, the monitoring cost is reduced, and a digital solution is provided for prevention and control of diseases of melon crops.

The invention relates to the technical field of medicine synthesis, and particularly discloses a preparation method of rosmeltirol. According to the preparation method of the rosmeltirol, provided by the invention, an existing production process of the rosmeltirol is adjusted, so that the total yield of a route is increased from 8.9% to 40% or above, the purity of the prepared rosmeltirol is greater than 99.9%, the content of the maximum single impurity in the product is less than 0.05%, and column chromatography purification is not adopted in the whole production process, so that the yield of the rosmeltirol is greatly improved. The method has the advantages of simple operation, mild production conditions, high safety, environmental protection, facilitation of realization of industrial production of the rosmeltirol, and high practical value, and the production cost and the production period are reduced.

An ML-assisted framework is disclosed that can guide the design of fit-for-purpose separation membranes for resource recovery and clean water production from wastewaters. Approaches and methodologies for executing the work include the integrated components: 1) ML-assisted new polymer screening; 2) development of an interpretable ML model for membrane properties prediction; 3) mechanistic constitutive model; 4) development of a statistical ML model with a combination of proper regularization for membrane performance prediction; 5) separation membrane fabrication and evaluation.

The invention discloses a system and method for identifying microbial contamination in food and cosmetics based on AI identification, and the method comprises the steps: collecting to-be-detected food or cosmetics as a detection sample, and obtaining the bacterial colony growth state of microorganisms in the detection sample; the method comprises the following steps: acquiring a microbial growth image through microscopic imaging equipment, and preprocessing the microbial growth image to obtain a target area of a microbial colony; constructing an AI recognition model by adopting a convolutional neural network, and obtaining the species and quantity of microorganisms in the detection sample; parameters of the AI recognition model are adjusted in real time according to the types and the number of the microorganisms, a preset microorganism limited standard threshold value is combined, a visual analysis report is generated, the AI recognition model is combined with a Faster R-CNN target detection method, precise classification and number statistics of the types of the microorganisms are achieved, a complete microorganism pollution analysis report is formed, and the method is suitable for popularization and application. And the accuracy and scientificity of the final identification result are improved.

The invention discloses a dry-type transformer. The dry-type transformer comprises a transformer body, a housing, a bottom plate and a fan, wherein the transformer body is formed by a plurality of groups of encapsulated windings in an array mode, a supporting rod is arranged at the bottom of the transformer body and allow the encapsulated windings in each group to connect with each other, the supporting rod is arranged in a crossed mode, and first threaded holes penetrate the supporting rod; the transformer body is integrally arranged in the cavity of the housing, and the bottom of the transformer body is fixedly positioned with the bottom plate, and meanwhile, the transformer body is arranged in the housing through the fan, the whole device achieves dispelling the heat in the transformerbody, and the graphite material of housing side is protruding simultaneously, and the heat from the housing is diffused quickly, and the protrusion of the array distribution can reduce the air great dust entering the inner wall of the housing through air vents.

The invention discloses low-temperature-resistant and high-salt-resistant aerobic pseudomonas kirschner kirschner K2 as well as a preparation method and application thereof. The preparation method comprises the following steps: carrying out low-temperature and high-salt enrichment culture; screening and domesticating, and monitoring the concentration of ammonia nitrogen; and after 3-5 times of enrichment culture, diluting the enrichment culture, further culturing until a macroscopic bacterial colony is obtained, and then picking and carrying out plate streaking to separate a pure strain. The invention also relates to application of the strain in preparation or prevention of nitrification and denitrification nitrogen removal drugs in treatment of high-salt nitrogen-containing wastewater. The strain is low-temperature-resistant and high-salt-resistant heterotrophic-aerobic denitrifying bacteria, has the characteristic of low temperature resistance, grows well at low temperature and high salt salinity, has higher heterotrophic nitrification-aerobic denitrification nitrogen removal capacity, is suitable for nitrogen removal treatment of high-salt wastewater such as food processing wastewater and landfill leachate, and has wide application prospects. The superiority is particularly obvious under a low-temperature condition.

The invention provides a photocatalysis and biological reaction mixed efficient air purification system, and relates to the technical field of biological air purification, the system comprises a photocatalysis reaction module, a biological reaction module, an intelligent control module, a sensor monitoring module, a data analysis and optimization module, and a modularization and self-maintenance module; the system is combined with a photocatalytic reaction module and a biological reaction module, a multi-stage degradation and efficient decomposition treatment mode is adopted, the photocatalytic reaction module firstly degrades pollutants in air into intermediate products, then the biological reaction module further degrades the intermediate products through microorganisms, and finally thorough purification is achieved. According to the multi-stage synergistic reaction, the air purification efficiency is remarkably improved, thorough removal of pollutants in the treatment process is ensured, the environmental risk is reduced, various indexes in the degradation process are dynamically adjusted through a multi-target optimization algorithm, it is ensured that each stage achieves the optimal effect, and the performance and stability of the whole system are further improved.

The invention discloses a photodynamic inactivation parameter adjusting method based on hybrid fuzzy-PID control, relates to the technical field of parameter fuzzy control, and aims at the problem that photodynamic inactivation efficiency and aquatic organism safety in aquaculture are difficult to consider at the same time through multi-sensor fusion and environment prediction. Then, a fuzzy-PID self-adaptive putting technology is adopted to be coupled with an illumination strategy, and accurate matching of the photosensitizer dosage and the light intensity is achieved; water body fluctuation and pathogen diffusion are dealt with through real-time closed-loop and multi-scene collaborative scheduling; multi-dimensional index evaluation is utilized, reinforcement learning is introduced to carry out self-learning optimization, and putting and illumination parameters are continuously improved; and finally, the method is expanded to large-scale distributed control and cloud big data training, and efficient inactivation and flexible deployment can be kept in different breeding scenes. Pathogens can be effectively prevented from being rapidly diffused in an adverse environment, damage to aquatic animals caused by excessive accumulation of reactive oxygen species (ROS) is reduced, and meanwhile energy consumption and resource waste are reduced.

The invention relates to a sustained-release scale inhibiting product, its production and use. The scale inhibiting product comprises at least one scale inhibitor, a water soluble or hygroscopic carrier or binder, Activated Carbon for controlling the release rate of the at least one scale inhibitor and an adhesive that adheres the components of the composite.

The invention discloses an aquaculture organism health state monitoring system based on multi-dimensional feature association, and belongs to the technical field of aquaculture, and the system comprises a visual feature collection layer which is composed of an image collection module, an image preprocessing module, a target analysis module and a feature extraction module; the molecular biology verification layer is composed of an immune gene monitoring module and a metabolic gene monitoring module; the data association prediction layer is composed of a standardization module, a feature screening module, a deep learning module and an evaluation output module; a self-adaptive optimization mechanism, a fault-tolerant mechanism and an environment adaptability adjustment mechanism. According to the aquaculture organism health state monitoring system based on multi-dimensional feature association, intelligent monitoring of the health state of aquaculture organisms is achieved by integrating a computer vision technology and a molecular biology detection method, and a scientific basis is provided for aquaculture production management.

The invention belongs to the technical field of microorganisms, and discloses a low-temperature-resistant aerobic denitrifying bacterium and application thereof. The low-temperature-resistant aerobic denitrifying bacterium is Enterobacter ludwigii CW-01, and the preservation number of the low-temperature-resistant aerobic denitrifying bacterium is CGMCC (China General Microbiological Culture Collection Center) No.27126. The low-temperature-resistant aerobic denitrifying bacterium can be used for preparing the The enterobacter lewis CW-01 strain disclosed by the invention can efficiently realize aerobic denitrification degradation of ammonia nitrogen, nitrate and nitrite within the temperature range of 4-35 DEG C, and is especially suitable for wastewater treatment in which the ammonia nitrogen, nitrate and nitrite are difficult to remove due to low temperature; the strain also has good salt resistance, and provides a good microbial material for biological nitrogen removal treatment of low-temperature, high-salt and high-ammonia nitrogen polluted water. The nitrogen is efficiently removed, meanwhile, the use amount of a carbon source is remarkably reduced, the enterprise cost is greatly reduced, and the method has a good application prospect in the field of sewage treatment.

The invention discloses an intelligent regulation and control method for a tea fermentation process and a regulation and control system based on microbial activity monitoring, and relates to the technical field of tea processing. According to the method, microbial activity and environmental parameters are monitored in real time, and a microbial metabolism model and a neural network algorithm are combined, so that dynamic optimization and accurate regulation and control of the tea leaf fermentation process are realized, firstly, microbial activity data and environmental parameters in a fermentation environment are collected by utilizing a sensor array; the method comprises the following steps: firstly, calculating a metabolite generation rate and a concentration change trend through a microbial metabolism model, accurately identifying abnormal fluctuation in a fermentation process, secondly, adjusting fermentation conditions in real time based on the metabolite concentration change trend and a dynamic regulation and control algorithm to ensure the stability of the fermentation process, and finally, carrying out real-time fermentation. Tea quality parameters after fermentation condition adjustment are predicted through a neural network algorithm, a regulation and control strategy is optimized, and stable improvement of tea quality is achieved.

The invention belongs to the field of pesticide preparations, and particularly relates to an oil suspending agent containing pleuromutilin and a preparation method of the oil suspending agent. According to the invention, by optimizing the formula, the obtained oil suspending agent can effectively prevent and treat bacterial diseases, the dosage form of the oil suspending agent is more beneficial to application to spraying method pesticide application, and the embodiment verifies that the prevention and treatment effect on the bacterial diseases can reach 90% or above under the condition that the concentration of pleuromutilin is 200PPM. In addition, according to a traditional method, an active compound is obtained through fermentation, and then the active compound is mixed with a corresponding solvent and an auxiliary agent to be processed into a dosage form, so that the cost is high, and great pollution is brought. The method provided by the invention not only meets the control requirements on bacterial diseases, but also saves the energy and power cost from the aspect of process, reduces the use of solvents, is more beneficial to environmental protection, and thus has great economic benefits, environmental benefits and ecological benefits.

The invention provides a method for synthesizing tirpotide by adopting a solid-liquid combination strategy. The preparation method comprises the following steps: firstly, respectively synthesizing full-protection peptide fragments (1-17) and (18-39), and then carrying out liquid-phase splicing and deprotection to obtain crude peptide; according to the strategy, the synthesis period can be remarkably shortened, large-scale industrial production is facilitated, meanwhile, the synthesis yield is high, and the purity and content of the obtained crude peptide are high.

The invention relates to the technical field of biochemical culture, in particular to a biochemical incubator with multiple bins and a method thereof.The biochemical incubator comprises a case, a cavity is formed in the middle of the case, the cavity is divided into a plurality of culture bins by a plurality of partition plates, treatment cavities are formed in the two sides of the cavity, protective shells are connected to the outer sides of the treatment cavities, and storage assemblies are arranged in the culture bins; the storage assembly comprises a movable bottom plate and three groups of longitudinal partition plates; the longitudinal partition plate divides the movable bottom plate into two storage cavities, storage tables are arranged in the storage cavities, and the movable bottom plate is driven by the pushing assembly to move left and right and used for alternately feeding the two storage tables into the culture bin; two groups of sealing covers are arranged outside the storage table, and are driven to be opened or closed by a turnover assembly; according to the incubator, pollution-free conveying of materials is achieved, and meanwhile the stability of environmental parameters of all the bins is maintained; the culture method ensures that different batches of samples are cultured in an independent environment, and cross contamination between microorganism or cell samples is avoided.

The invention discloses an oxidation-reduction free radical synergistic electrochemical wastewater treatment method and system. The method comprises the following steps: collecting pollutant concentration in wastewater and electrochemical reactor state parameters in real time through a sensor array; analyzing a pollutant change trend based on the data, and determining an optimization target value of an active substance generation proportion in combination with historical data; the trained classification model is used for classifying the water body state, and whether dynamic adjustment is needed or not is judged; if necessary, calculating the state parameter correction according to the deviation between the target value and the actual value, and adjusting the operation of the reactor; and monitoring the adjusted active substance proportion and degradation efficiency, and dynamically updating the optimization target according to the adjusted active substance proportion and degradation efficiency and the pollutant trend to realize continuous self-adaptive regulation and control. The intelligent closed-loop control of the reaction parameters is realized, the stability of the treatment efficiency is obviously improved, and the energy consumption and the risk of secondary pollution are effectively reduced.

The invention relates to Omarlliptin, in particular to a novel method for preparing Istradafylline, and relates to a preparation method of Istradafylline, in particular to a preparation method of Istradafylline. The method comprises the following steps: carrying out coupling reaction on a compound Ia and TMS acetylene to obtain an intermediate Ib; carrying out bromination reaction on the intermediate Ic under the action of NBS (N-bromosuccinimide) to obtain an intermediate Id; carrying out substitution reaction on the intermediate Id and tert-butyl carbamate under the action of potassium tert-butoxide to obtain an intermediate Ie; reacting the intermediate Ie with paraformaldehyde to obtain an intermediate If; carrying out cycloaddition reaction on the intermediate If and the intermediate Ib to obtain a key intermediate Ig; carrying out asymmetric catalytic hydrogenation reduction on the intermediate Ig to obtain an intermediate Ih; and removing a protecting group from the intermediate Ih in a hydrochloric acid and ethyl acetate system to obtain a final product. The method is short in route, simple and convenient to operate, mild in condition, high in reaction yield, environment-friendly and easy for industrial production, and dangerous and highly toxic products are prevented from being used and hazardous chemicals are supervised. # imgabs0 #

The invention relates to the field of water treatment, and discloses an MBBR suspended filler biological membrane thickness monitoring and control system which is mainly composed of a suspended filler biological membrane thickness monitoring module, a suspended filler biological membrane thickness early warning module and a suspended filler biological membrane thickness control module. According to the monitoring module, a suspended filler biological membrane picture obtaining unit obtains a biological membrane picture in real time through an online monitoring device; the picture processing unit processes the picture to obtain the thickness of the biological membrane as monitoring data; the thickness analysis unit further analyzes based on the data; the early warning module is used for judging whether the thickness of the biological membrane is abnormal or not, and giving out early warning if the thickness is abnormal; 2, judging whether the growth or shedding rate of the biological membrane is normal or not, and giving out early warning if the growth or shedding rate is abnormal; and the control module combines monitoring data of the monitoring module and an early warning signal of the early warning module to precisely control the opening degree of an automatic control valve of the aeration module in the MBBR pool, so that the thickness of a biological membrane is kept in an optimal range, and efficient and stable operation of a water treatment system is guaranteed.

The invention relates to the technical field of odor emission reduction, in particular to an odor emission reduction control system and method for livestock and poultry manure compositing. According to the system and the method, concentration changes of ammonia gas, hydrogen sulfide and volatile organic compounds and temperature and humidity data in a composting environment are accurately obtained through real-time performance and multi-parameter association of gas monitoring in the composting process; the method comprises the following steps of: calculating a diffusion path, a speed and a coverage area of gas in a compost body through finite element analysis, quantifying the distribution characteristics of gas concentration in space, optimizing the wind speed, the wind quantity and the layout of a ventilation system, and improving the ventilation efficiency. Pattern recognition is performed on compost environment gas emission data through the convolutional neural network, the turning frequency and the compost microenvironment are dynamically adjusted in combination with the gas concentration, a gas emission high-value area and a main guide source are accurately positioned, accurate control over compost fermentation odor emission is achieved, and the systematicness and refinement level of compost odor treatment is improved.

The invention provides an intelligent response type medical liquid application and a preparation method thereof, and relates to the technical field of medical dressings. The liquid application is composed of a basic repairing component, a natural antibacterial component, a plant active component, an intelligent carrier system and auxiliary materials. Accurate release of active ingredients is realized by adopting a pH / temperature double-response intelligent delivery system, and the transdermal absorption rate is remarkably improved; wound healing is accelerated through the synergistic effect of the compound protein and the plant extract; active ingredients are effectively reserved through a multi-mode sterilization process. The liquid application disclosed by the invention has the characteristics of strong antibacterial property, good environmental adaptability, excellent healing effect and the like.

The invention discloses a traditional Chinese medicine residue treatment method and application of a fermented traditional Chinese medicine residue preparation prepared through the traditional Chinese medicine residue treatment method in feed, and belongs to the technical field of waste resource recycling. The lactobacillus plantarum is used for fermenting the traditional Chinese medicine residues, and the prepared fermented traditional Chinese medicine residue preparation improves the content of phenolic substances and the activity of flavonoid substances; finally, the fermented traditional Chinese medicine residue preparation prepared by the treatment method of the traditional Chinese medicine residues is applied to preparation of feed, so that the growth performance of the Rongchang pigs can be improved, the diarrhea rate can be reduced, the immune function can be enhanced, resource utilization and reduction treatment of the traditional Chinese medicine residues can be realized, and a high-quality feed additive can be provided for livestock and poultry breeding; the sustainable development of animal husbandry is promoted.

The invention discloses a method for preparing tegorasone pyroglutamate, and the prepared tegorasone pyroglutamate product has the advantages of reduced residual solvent content, good stability, and facilitation of the improvement of the product quality and the guarantee of the medication safety. The preparation method is simple and rapid in preparation process, beneficial to saving of production cost and suitable for industrial production.

The embodiment of the invention discloses a method for extracting extracellular vesicles from a traditional Chinese medicine dry product. The method comprises the following steps: taking a dry traditional Chinese medicine product as a raw material, and sequentially performing crushing, soaking, first-order enzymolysis, wall breaking, differential centrifugation, second-order enzymolysis, high-speed centrifugation, ultracentrifugation and ultrafiltration enrichment to obtain the extracellular vesicles. A two-step enzymolysis method is adopted in the enzymolysis process, impurities are removed to the maximum extent in a sequence difference enzymolysis mode, and the structure and function stability of the exosome are protected. According to the invention, the differential centrifugation and the enzymolysis method are alternately used, so that impurities with different sizes and different properties can be removed more thoroughly. According to the method, the cost is strictly controlled, the exosome purification efficiency is relatively high, the concentration of the obtained dry exosome is relatively high, and the operability is extremely high.

Articles for reducing the risk of infection, bearing, or containing an antimicrobial composition containing a solid-phase peroxyxcarboxylic acid metal salt are provided. Methods of reducing the risk of infection using the antimicrobial composition are also provided.