8462 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 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.

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 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 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 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 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 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 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.

The invention relates to the technical field of microorganisms, and discloses a sewage aquatic microbe with ammoxidation capacity, a microbial agent and application of the microbial agent. The strain name of the sewage aquatic microbe is B1, and the preservation number of the sewage aquatic microbe is CCTCC No: M 2025640. The sewage aquatic microbacterium B1 provided by the invention can convert ammonia nitrogen into nitrite nitrogen, so that short-cut nitrification is realized in wastewater treatment, and the strain can tolerate and effectively treat ammonia nitrogen with relatively high concentration, and has relatively good adaptive capacity to environments with different pH values, salinity and temperatures.

The invention discloses an intelligent gradient extraction process and method for nutritional ingredients in yak bone marrow, and belongs to the technical field of bioactive substance extraction. The extraction method comprises the following four steps: gradient pressure supercritical degreasing, double-enzyme synergistic gradient enzymolysis, acid concentration gradient demineralization and temperature gradient gelatin extraction, and through the process coupling design of gradient pressure degreasing, buffer enzymolysis, graded acidolysis and membrane separation of gelatin, the high yield of the product in the previous stage is ensured; active structures of follow-up components are reserved to the greatest extent. Meanwhile, a sensing-decision-execution closed-loop system is constructed, real-time data sources such as NIR moisture sensing, online OPA detection and XRD in-situ analysis are integrated, technological parameters are dynamically adjusted through a multi-objective optimization algorithm, and global optimization of the yield, the purity and the energy consumption is achieved.

In order to solve the problems of low yield, complex process and difficulty in purification in the existing preparation method of benzodifurandione, the invention provides a preparation method of benzodifurandione, which comprises the following operation steps: synthesis of benzodifurandione: mixing hydroquinone, paraformaldehyde, a transition metal catalyst and a ligand under an acidic condition to obtain a mixture A; introducing CO, reacting at the temperature of 120-150 DEG C to obtain a mixture containing benzodifuran diketone, cooling and filtering to obtain a benzodifuran diketone solid; and purification: purifying the benzodifuran diketone solid to obtain the benzodifuran diketone. The preparation method provided by the invention is simple and convenient to operate, the obtained monomer benzodifuran diketone raw material is high in purity and stable in quality, and large-scale production of polymers can be realized.

The invention discloses a preparation method of high-purity red date polysaccharide nano-selenium, and belongs to the field of biological material preparation. The preparation method of the high-purity red date polysaccharide nano-selenium comprises the following steps: adding water to dissolve red date polysaccharide to obtain a red date polysaccharide solution, then mixing the red date polysaccharide solution with a nano-selenium solution, reacting to obtain a mixed solution, and separating and purifying to obtain the red date polysaccharide nano-selenium. According to the preparation method disclosed by the invention, high-purity red date polysaccharide nano-selenium can be efficiently and stably prepared, the product has huge application potential in the fields of biomedicine, functional food and the like, and powerful technical support is provided for the development of related industries. Compared with a conventional process in the prior art, the preparation process for preparing the red date polysaccharide and the nano-selenium first and then compounding the red date polysaccharide and the nano-selenium to obtain the final product has obvious performance advantages in the aspects of product purity, storage stability and the like, and powerful technical support is provided for further application and development of the red date polysaccharide nano-selenium.

The invention relates to the technical field of microbial separation, in particular to an efficient targeted separation device and method for environmental functional microorganisms. The device comprises an environmental sample preset culture module and an intelligent detection and feedback regulation module which are arranged in a box body, the preset culture module is used for culturing a pretreated target environmental microorganism sample, the intelligent detection and feedback regulation module is used for detection every certain period of culture, and the sample is obtained through automatic separation until the sample is completely cultured. The device can realize efficient culture and separation of target environmental functional microorganisms, avoids sample loss and pollution risk, remarkably improves the standardization degree and efficiency of the culture process, and solves the problems of low efficiency, poor accuracy, limited separation quantity and insufficient standardization of environmental functional microorganisms in the prior art.

The invention discloses a method for efficiently separating and purifying plant exosomes and application, and belongs to the technical field of biological nanotechnology. The method comprises the following key steps: (1) performing sterile cleaning on plant raw materials, and then performing peeling or tissue slitting pretreatment; (2) carrying out mechanical crushing treatment by adopting a phosphate buffer solution (PBS), and filtering through a 200-mesh screen to obtain a primary extracting solution; (3) performing gradient centrifugal purification on the extracting solution, collecting supernate, and filtering the supernate through a 0.45 mu m microporous filter membrane; (4) adding 8-12% of polyethylene glycol for low-temperature phase separation and precipitation; (5) purifying by using an electrodialysis technology; and (6) carrying out final concentration by adopting a 100kDa ultrafiltration membrane to obtain the high-purity PELNs preparation. According to the method, the process, equipment and reagents are simple and easy to obtain, the final yield is high, the purity is high, particle size distribution is uniform, and an innovative solution is provided for large-scale industrial production of natural-source nano-drug carriers.

The invention discloses a preparation method of high-purity diiodosilane, which comprises the following steps: firstly, preparing a p-phenylsilane solution from phenyl trichlorosilane and sodium hydride as raw materials, rectifying and purifying the p-phenylsilane solution, directly reacting the p-phenylsilane solution with iodine to generate diiodosilane, and reacting phenylsilane with iodine to directly generate diiodosilane; in the process of preparing diiodosilane from phenylsilane, conditions are mild, the reaction process is controllable, the reaction time is shortened by controlling the temperature in the synthesis process and increasing the pressure of a reaction system, hydrogen iodide overflow is reduced, sodium hydride is adopted as a reducing agent in the reaction process, and the yield of diiodosilane is increased. The solid waste can be recycled, the cost can be effectively reduced, and industrialization of diiodosilane is facilitated.

The invention relates to the technical field of automatic control, in particular to a monitoring method and system for synthesizing ceramide based on alpha-hydroxy fatty acid, and the monitoring system for synthesizing ceramide based on alpha-hydroxy fatty acid comprises a raw material feeding module, a reaction control module, a quenching-crystallization joint control module and a data integration module; carrying out dynamic weighing monitoring on the raw materials based on the received synthesis instruction, and starting a reaction kettle according to weighing data; performing multi-dimensional data acquisition in real time according to the set reaction data, and performing dynamic feeding control according to the set reaction data; when the TLC detection substrate reaction is completed, the cooling process and the crystallization process are regulated and controlled in real time according to the reaction data until the end point judgment standard is met; according to a received synthesis completion instruction, product quality data is obtained, a monitoring data packet is generated, the synthesis instruction is marked and then stored, process control is accurately monitored and controlled, and the purity and crystal form of the product are ensured.

The present invention belongs to the field of cosmetics detection, and discloses a method for evaluating the sun protection function of cosmetics and cosmetic raw materials and its application. This evaluation method uses a non-contact drug delivery device to test the sun protection effect of the test samples, and the test samples are finished cosmetics or diluted cosmetic raw materials; the tests include evaluating the in vitro sun protection efficacy by skin cells, evaluating the in vivo sun protection efficacy by the zebrafish embryo model, and result evaluation. This method evaluates the anti-aging effect of sun protection through the expression of β-galactosidase and / or the secretion of collagen in human dermal fibroblasts, and evaluates the sunburn prevention effect through the survival rate of human keratinocytes, DNA damage, or the secretion of inflammatory factors and the lethal / teratogenic conditions of zebrafish embryos, realizing multi-level and all-round evaluation of the sun protection efficacy. The method provided by the present invention is applicable to the evaluation of the sun protection function of various sun protection products, has accuracy and practicability, and provides an important technical basis for the research and development, quality control, and performance optimization of sun protection cosmetics.

The invention discloses a high-activity enzyme, a screening method and application, which combine far-end potential site saturation test and iterative screening to accelerate the development of high-thermal-stability and high-activity bio-enzyme and effectively solve the problems of complicated screening steps and limited screening range of the existing high-activity bio-enzyme. The mutant obtained through strategy transformation can be used for efficiently synthesizing pharmaceutical chemicals and has relatively high industrial production application value.