410 results about "Reaction mechanism" patented technology

The invention relates to an inverse synthesis route planning method and system based on a multi-modal large model, and belongs to the technical field of chemical synthesis and artificial intelligence crossing. The method comprises the following specific steps: firstly, extracting three-dimensional molecular structure characteristics of a target product through a molecular encoder, and aligning the three-dimensional molecular structure characteristics with text modals of molecules; secondly, reasoning a possible reaction mechanism and a reaction type, and reducing an inverse synthesis search space; secondly, splitting a target product into reasonable synthesis subunits through structured marking and vocabulary expansion, data-driven atomic assignment learning and reaction center recognition and activity prediction; finally, SMILES representations and reaction paths of the reactants are generated. According to the method, the accuracy and interpretability of inverse synthesis path planning can be improved, and a new technical means is provided for automation and intellectualization in the fields of new drug development, material design and the like.

The invention relates to the technical field of bearings, and provides a hydrostatic bearing gas supply system which comprises a first gas supply subsystem and a second gas supply subsystem, the first gas supply subsystem comprises a first pipeline, a first check valve, a first reaction mechanism, a second reaction mechanism and a degassing structure, and the first reaction mechanism, the second reaction mechanism and the first pipeline are sequentially connected; a reactant is arranged in the first reaction mechanism, a catalyst is arranged in the second reaction mechanism, and the first check valve and the degassing structure are arranged on the first pipeline; the second gas supply subsystem is connected with the first pipeline; when the gas source is cut off, the reactant and the catalyst are subjected to chemical reaction in the second reaction mechanism to generate water vapor and oxygen, the degassing structure is used for consuming the oxygen and generating superheated steam, and the superheated steam enters the hydrostatic bearing. The air supply system for the hydrostatic bearing provides the pure water vapor working medium for the hydrostatic bearing, so that the normal operation of the hydrostatic bearing is ensured, and the hydrostatic bearing is prevented from being damaged.

The invention discloses a reaction site prediction method and device based on chemical and physical prior driving, and the method comprises the steps: extracting set features through the multi-modal input of a fusion molecular map, an SMILES sequence and a three-dimensional conformation; generating atomic embedding by using a message passing neural network, and calculating a mixed feature fusing a topological path and a three-dimensional distance; combining the key type weight to construct a graph position code of chemical environment correction; injecting the mixed distance and the charge difference into a Transform attention mechanism, and explicitly modeling an inter-atomic long-range electron effect; a model is jointly trained through double tasks of comparative learning and mask prediction, the comparative learning adopts a directional negative sample to enhance generalization, and mask prediction synchronously recovers an atom type and a charge transfer matrix; and finally, injecting quantum chemistry priori constraint attention weights such as a Fuzzy well function, outputting an atomic-scale reaction activity probability, generating a thermodynamic diagram, and realizing high-precision and interpretable active site labeling. According to the method, the drug design and reaction mechanism analysis efficiency can be remarkably improved.

The invention discloses a turbulent combustion characteristic prediction method, device, equipment and medium, and aims to rapidly and accurately predict hydrocarbon fuel turbulent combustion characteristics, the turbulent combustion characteristic prediction method comprises the following steps: constructing a three-step reaction mechanism, the three-step reaction mechanism comprises a first reaction mechanism using hydrocarbon fuel and oxygen as reaction fuels; a second reaction mechanism using carbon monoxide and oxygen as reaction fuels; a third reaction mechanism in which hydrogen and oxygen are used as reaction fuels; a three-step reaction mechanism is carried out by taking hydrocarbon fuel as fuel through a zero-dimensional isobaric flame model, the highest temperature during complete combustion of the hydrocarbon fuel is determined as adiabatic equilibrium temperature, and the maximum value point of the temperature change rate in the combustion process of the hydrocarbon fuel is determined as ignition delay; the laminar flame velocity is determined according to the index relationship between the reaction pressure and the laminar flame velocity through a three-step reaction mechanism by taking hydrocarbon fuel as fuel through a one-dimensional isobaric flame model.

The invention relates to the technical field of chemical reaction experiment simulation, and discloses an AI-based chemical reaction experiment simulation system and method, the system comprises a reaction mechanism model and a dynamic simulation model, the reaction mechanism model carries out integration processing on experiment initial data, and the dynamic simulation model carries out dynamic simulation on the experiment initial data; and the dynamic disturbance suppression layer performs dynamic disturbance suppression on the real-time reaction data flow, inputs a path generation layer simulation reaction track and generates a state instruction. The path generation layer comprises a data preprocessing module and a dynamic path generation module, and reaction key node recognition, compensation field data generation and state instruction optimization are achieved through energy level association processing, dynamic matching modeling, multi-dimensional parameter fusion and the like. According to the method, multi-dimensional data integration, dynamic disturbance processing and trajectory simulation precision are improved, accurate regulation and control and high-risk early warning of the reaction state are realized, the experiment cost and risk are reduced, and the method is suitable for reaction analogue simulation in chemical research and industrial production.

The open type in-situ electrochemical reaction tank comprises a reaction tank main body and a connecting assembly, an open type electrolyte cavity is arranged above the reaction tank main body, and a base for mounting a working electrode is arranged below the reaction tank main body; a through objective lens hole is formed between the electrolyte cavity and the base, and a reference electrode jack is formed in the side wall of the electrolyte cavity; a working electrode lead hole is formed in the side wall of the base, and an O-shaped gasket groove, a silica gel gasket groove and a working electrode fixing screw hole are formed in the bottom of the base. The reaction tank disclosed by the invention can realize in-situ electrochemical spectrum detection by connecting an electrochemical workstation, is small in volume, simple in mounting method, convenient to clean, high in quality of collected spectrum signals, acid-base-resistant and wide in application range, not only can be adaptive to upright and inverted micro-Raman spectrum systems, but also can ensure the accuracy of electrochemical spectrum test, and is suitable for large-scale popularization and application. The reaction mechanism can be deeply understood, the reaction conditions can be optimized, and the research quality can be improved.

The invention belongs to the technical field of computational chemistry, and particularly discloses a mechanism research and analysis method for catalyzing oxidation of 2, 4-tert-butylphenol by using a double-copper biomimetic oxygen copper intermediate [Cu (II) 2O2TMP32] < 2 + >, which is based on a density functional theory (DFT), adopts a gas phase model to calculate a QM reaction mechanism, and performs structure optimization on the intermediate and a transition state; a PCM continuous medium solvation model is adopted, single-point energy correction is carried out, heat and enthalpy correction is obtained by calculating frequency analysis, the whole catalytic reaction potential energy surface is calculated by considering the Van der Waals effect, so that a possible reaction channel is obtained, and on the basis of QM calculation, possible intermediates and transition states are searched again under a QM / MM solvent model by adopting a QM / MM method, so that the calculation efficiency is improved. And determining the reaction speed step and the reaction mechanism. A complete theoretical method for simulating the system is established, a basis is provided for treating the system to develop a new solvent model, and meanwhile, an important theoretical basis and a technical reference are provided for design and development of efficient novel copper biomimetic catalytic phenol.

The invention discloses a self-template synthesized linear biochar-based bimetallic material as well as a preparation method and application thereof, and belongs to the technical field of carbon materials. The method comprises the following steps: pretreating ganoderma lucidum residues, and pyrolyzing in a nitrogen atmosphere to prepare charcoal; and mixing the prepared biochar with cobalt nitrate and sodium molybdate to prepare CoMoO4 nanoparticles with in-situ growth of the biochar, and then washing and drying to obtain the BC-coated CoMoO4 linear biochar-based bimetallic material. Heterojunctions formed by binding sites of cobalt-molybdenum bimetal and biochar in the material form more defect sites, the synergistic effect of the metal and the micro-nano fibrous biochar is exerted, the degradation rate in the application of catalytic degradation of bisphenol A can reach 98.18% or above, a multiple reaction mechanism with sulfate free radicals is jointly shown, and the photocatalytic degradation of bisphenol A is realized. And the method has higher adaptability and effectiveness for complex pollutants.

The invention discloses a system and a method for predicting reaction conditions of a menthane carboxamide cooling agent, and aims to optimize the reaction conditions, improve the experiment efficiency, reduce the production cost and ensure the stable product quality through an intelligent method. According to the system, the design experiment DoE and the response surface method RSM technology are combined, the relation between reaction conditions and products is systematically analyzed, multi-scale modeling is utilized, a molecular reaction mechanism and a macroscopic reactor model are combined, seamless connection from a laboratory to an industrial scale is achieved, and challenges in the amplification process are solved. By means of real-time data monitoring and feedback adjustment, the system can dynamically optimize the reaction process, controllability and stability of the production process are improved, the scientificity and intelligent level of reaction optimization are improved, and an efficient, controllable and environment-friendly solution is provided for large-scale production of the menthane carboxamide cooling agent.

The invention discloses a method for exploring a heterogeneous catalytic reaction network based on a deep potential energy surface model, and the method comprises the steps: carrying out the accurate prediction of the free energy change of all possible element reactions on a catalyst through the combination of transfer learning and a density functional theory, and constructing a reaction network diagram based on a graph theory method; an improved Dijkstra method is used for searching a reaction network diagram to determine a reaction mechanism, and the selectivity of the catalyst is explored based on a Markov chain method. According to the technical scheme provided by the invention, when the CO2 reduction reaction mechanism on the monatomic alloy is explored, the prediction error MAE of the electron energy of each intermediate is only 0.16 eV, the calculated amount is reduced by 90%, the dominant path of the CO2 reduction reaction is visually displayed, and a new normal form is provided for complex mechanism exploration and catalyst screening.

The invention provides a method and a system for screening a catalyst for preparing methanol by reducing carbon dioxide. The method comprises the following steps: calculating an optimized structure (CONNTCAR) and an energy value (OUTCAR) of a TM (at) Mo2C model; the formation energy Ef of the TM and Mo2C model is calculated; by calculating a POURBAIX graph, the coverage conditions of other species of molybdenum carbide under the working potential under the chemical reaction are determined; detailed electrocatalytic CO2RR and HER mechanisms of these catalysts are systematically discussed through density functional theory (DFT) calculation. The invention solves the technical problems of high experimental research cost and high difficulty in improvement of the performance of methanol preparation by carbon dioxide reduction due to undefined reaction mechanism of transition metal loaded molybdenum carbide for preparation of methanol by carbon dioxide reduction.

The invention discloses a method for simulating reaction migration of metal in a xanthate-loaded porous medium. On the basis of a coupling reaction mechanism of metal and an organic complexing agent (xanthogenate) in a porous medium, a multi-surface morphology complexing model (MSM) containing soil native components and xanthogenate is constructed and is combined with a reactive migration numerical model (a coupling water flow and solute migration equation); according to the method, through model calibration and experimental verification, the dynamic migration process of each metal component and the competitive retention distribution of the metal component on different solid-phase components can be accurately simulated and quantitatively analyzed under the complex condition that metal and xanthate coexist.

The present invention discloses a collaborative simulation analysis method, device, equipment and medium for polymerization reaction in a reactor, wherein the method comprises: three-dimensional modeling of the reactor; meshing the established three-dimensional model; importing the meshed three-dimensional model into Fluent, determining the basic control equations in the acrylonitrile polymerization reaction process; setting the material properties corresponding to the liquid reactant; determining the boundary conditions and source term data required for numerical calculation; deducing the chemical equilibrium equations of each species according to the acrylonitrile polymerization reaction mechanism, simplifying the chemical equilibrium equations of the species by using the moment method, and solving the moment method ordinary differential equations by using MATLAB software; starting Fluent and MATLAB software for embedded collaborative simulation to solve the polymerization reaction process, and repeatedly iterating the basic control equations and the moment method ordinary differential equations until the relevant parameters converge. The present invention uses Fluent and MATLAB for embedded collaborative simulation to accurately and reliably simulate the complex polymerization reaction in the stirred reactor.

The invention discloses a high-entropy spinel ferrite catalyst for efficiently degrading dyes and antibiotics as well as a preparation method and application of the high-entropy spinel ferrite catalyst. The Cu1 / 2Zn1 / 2Fe2 / 3Co2 / 3Ni2 / 3O4 (HEO-FNCCZ) high-entropy spinel ferrite catalyst is prepared by adopting a sol combustion method, the photocatalytic degradation performance of common dyes and antibiotics is evaluated by simulating visible light photocatalysis, and the reaction mechanism of photocatalytic degradation of methylene blue with the best effect is researched. The photocatalytic reaction is effectively promoted by utilizing the catalytic effect of the spinel ferrite, so that environment-friendly pollutant degradation is realized. According to the method, the production process is simple, various organic toxic and harmful substances are not introduced, the method is nontoxic and harmless in the use process, the recovery efficiency of the catalyst exceeds 95%, and the method has the characteristics of remarkable degradation effect and no secondary pollution; the preparation method only relates to the processes of dissolving, calcining, crushing and the like, and is extremely suitable for industrial batch production.

The invention relates to a feeding control method and system of a reaction kettle. The method comprises the following steps: analyzing a reaction process according to a competitive reaction mechanism model to obtain proportioning data of reactants; according to the matching data and the equipment information of the reaction kettle, the advanced feeding amount of reactants in the reaction kettle is set, and meanwhile, the advanced feeding amount is corrected according to the remaining amount of the reactants; by taking minimum multi-section feeding control fluctuation as an optimization target, constructing a collaborative optimization problem of feeding control of the reaction kettle in combination with the corrected advanced feeding amount, and solving the collaborative optimization problem to obtain a feeding control scheme of the reaction kettle; and according to the equipment information and the reactant reserve information, dynamically adjusting the next-stage feeding control scheme of the reaction kettle. According to the invention, a control mechanism for setting the feeding advance is adopted, and the adjustment fluctuation of each section of feeding control scheme is reduced to the minimum, so that not only are the stability and the control precision of feeding control improved, but also the production efficiency of the reaction kettle and the product quality are guaranteed.

The application relates to the technical field of catalyst preparation, in particular to an in-situ formed FeO x / Fe3C catalyst as well as a preparation method and application thereof. The FeO x / Fe3C catalyst provided by the application is a heterogeneous composite structure composed of surface iron oxide (FeO x ) and bulk iron carbide (Fe3C), breaks through the limitation of only focusing on a single phase, systematically reveals the dynamic structure evolution law from the surface to the bulk, and clarifies the internal correlation with the reaction mechanism. Based on the synergistic circulation mechanism from the surface to the bulk, the FeO x / Fe3C catalyst exhibits excellent catalytic performance and stability in the reverse water gas shift reaction, which is superior to most of the catalyst systems reported at present.

The invention discloses a multi-mode chemical reaction yield prediction method based on adaptive data screening, and belongs to the technical field of chemical synthesis and machine learning crossing. According to the method, a multi-modal input system containing one-dimensional chemical attribute data, a two-dimensional molecular structure map and a three-dimensional spatial configuration is constructed, so that multi-dimensional analysis of molecular interaction is realized; and meanwhile, a multi-stage training process is adopted to simulate a human cognitive rule, so that the model progressively learns layer by layer from a basic reaction feature to a complex reaction mechanism. According to the method, the screening threshold is dynamically adjusted, noise interference is effectively suppressed, and the adaptability to long-tail distribution data is improved. Compared with a traditional single-mode prediction model, the method has the advantages that the prediction accuracy on a noisy data set is improved, the trial and error cost of chemical synthesis experiments is remarkably reduced, and reliable technical support is provided for efficiently screening reaction conditions and accelerating research and development of new compounds.

The invention discloses an atomic layer deposition process simulation modeling method, device and equipment, relates to the field of integrated circuit manufacturing, and is used for solving the problem that in the prior art, only process parameters are quantified, and the evolution conditions of different substrate surface appearances along with reaction time cannot be determined for different substrate structures. Comprising the following steps: defining structural information of a to-be-deposited multi-dimensional substrate in an atomic layer deposition process; describing the transmission process of target molecules in the atomic layer deposition process by using a multi-dimensional reaction diffusion equation; describing a surface reaction mechanism of a target molecule in an atomic layer deposition process by utilizing a Langmuir adsorption principle; based on the transmission process and the surface reaction mechanism, the deposition rates of different positions of the surface of the multi-dimensional substrate are calculated; and determining the evolution condition of the multi-dimensional substrate surface morphology along with the deposition time and the deposition rate change condition based on the deposition rate. According to the invention, the GPC, the coverage rate and the deposition contour change condition of the object to be deposited in different growth periods can be simulated.

The invention discloses an NMR (nuclear magnetic resonance) method for characterizing solid catalyst acid pair evolution and application, which comprises the following steps: selecting double-ended 1, 2-bis (dimethyl phosphine) ethane (DMPE) as a probe molecule, taking a solid catalyst molecular sieve as an example, and carrying out a series of advanced one-dimensional and two-dimensional homonuclear / heteronuclear related NMR detection; through systematic analysis of experimental results, spatial interaction information among different acid centers is obtained, direct evidence of acid pair evolution is obtained, the problem that the evolution of acid pairs in the solid catalyst is difficult to accurately characterize by the conventional experimental means is mainly solved, and understanding and understanding of a concerted catalytic reaction mechanism of the acid pairs in the solid catalyst can be deepened. The method is easy to operate, accurate in result and suitable for identifying acid pairs in various solid catalysts such as molecular sieves, oxides and heteropoly acid.

The invention relates to a multi-model-based petrochemical production stream molecular-level composition prediction method and system, and relates to the technical field of oil refining chemical molecule management, and the method comprises the steps: measuring the molecular composition of a raw material, splicing structural units based on a structural unit-bond electric matrix frame, and constructing a molecular digital structure topology; constructing a molecular composition model by combining a preset molecular database, a probability density function and a molecular property predictor; establishing a molecular-level reaction network based on a catalytic reforming reaction mechanism, and constructing a molecular-level reaction kinetic model in combination with a reaction rate expression; constructing a reactor model according to mass, energy and momentum transfer equations; inactivation and separation unit models are constructed, multiple models are coupled in sequence, a whole-process reaction-separation molecular level prediction model is generated, and any stream molecular level composition is predicted. The method solves the problem that traditional petrochemical production depends on measurement results to adjust process parameters and has operation lag, and can eliminate lag and improve production control precision by predicting stream molecular composition.

The invention relates to the technical field of oxygen-enriched combustion safety and flammability limit prediction, and provides a flammability limit value prediction method and application, and the method comprises the steps: obtaining the initial parameters of a gas fuel in a mixed atmosphere of oxygen and carbon dioxide; simulating a combustion process by using an element reaction mechanism, and outputting a curve of component mole fractions changing along with time; the combustion enthalpy change rate under the target atmosphere and the virtual atmosphere is calculated based on the curve, and carbon dioxide in the virtual atmosphere is replaced with virtual gas which has the same thermophysical property but does not have chemical reactivity; respectively calculating combustion heat release, mixture heat absorption and heat radiation; and in combination with the enthalpy change rate and the energy balance equation, the combustible limit value is solved and determined through numerical iteration. By quantifying the chemical effect and thermophysical influence of carbon dioxide, the problem of insufficient precision caused by neglecting the participation of carbon dioxide in reaction and unique thermal property in the oxygen-enriched combustion environment in the existing model is solved, and the method is suitable for the safety design of a combustion system.

The invention discloses a preparation method of a 3-thiocyano indole derivative. According to the method, indole or substituted indole is taken as a substrate, ammonium thiocyanate is taken as a reactant, N-fluorobenzenesulfonamide (NFSI) is taken as an accelerant, reaction is carried out for 0.5-3 hours at room temperature, and C3-thiocyanated indole can be obtained. The method has the advantages of easily available reaction raw materials, mild reaction conditions and short reaction time, is suitable for industrial production, and provides a new method and different reaction mechanisms for thiocyanation of the C3 site of the indole compound.

The invention discloses a polymerization reaction continuous production line control system and method, and relates to the technical field of chemical engineering. The method comprises the following steps: establishing a polycondensation reaction heat release equation according to a reaction mechanism of a polyester polycondensation reaction and a kinetic model of a reaction rate of a polycondensation product, establishing a cooling heat equation according to a cooling system, and establishing a heat exchange equation between a polycondensation reaction kettle and an environment, so as to obtain a heat balance differential equation in the polycondensation reaction kettle; defining the reaction temperature and the component concentration in the polycondensation reaction kettle as the state of a reinforcement learning model, defining the temperature of a cooling medium as the action of the reinforcement learning model, establishing a state transfer function according to a heat balance differential equation, designing a layered dynamic reward function, and constructing the reinforcement learning model; a DDPG algorithm is selected to train the reinforcement learning model; and obtaining an optimal temperature control strategy by using the trained reinforcement learning model, and carrying out optimal control on the polyester polycondensation reaction process. The temperature stability in the polyester polycondensation reaction process is improved.

The invention discloses a method for synchronously enriching and identifying N-linked glycopeptides and O-linked glycopeptides, and relates to the technical field of material analysis chemistry and organic chemistry, the method is characterized in that glycopeptides are enriched by adopting a column solid-phase extraction mode or a dispersive solid-phase extraction mode, and a glycopeptide sample is subjected to mass spectrometry. The glycopeptide enrichment material is a material obtained by carrying out copolymerization reaction on different types of hydrophilic monomer molecules with acrylic acid groups on the surface of porous silica gel by utilizing a reversible-fracture-chain transfer free radical polymerization reaction mechanism initiated by a matrix surface, and can be used for glycopeptide enrichment. According to the method, by controlling conditions such as pH and organic phase concentration in the enrichment process, step-by-step enrichment of N-linked glycopeptide and O-linked glycopeptide can be realized, high-selectivity enrichment of two glycopeptides in a complex mixture (high non-glycopeptide doping ratio) can be realized, and the capacity of identifying glycosylation in glycoprotein is remarkably improved.

The invention discloses a rapid separation type chemical reaction container, and relates to the technical field of chemical reaction containers, the rapid separation type chemical reaction container comprises two supports, a reaction mechanism is fixedly arranged between the two supports, one side of the reaction mechanism is provided with a lifting mechanism, and one end of one support is provided with a material receiving mechanism. Through cooperation of the reaction mechanism and the lifting mechanism, during chemical reaction, a solid material or a solid catalyst can be placed in the inner charging barrel, after the reaction is finished, the solid material can be lifted and driven to rotate and centrifugate, it is guaranteed that the fixed material is rapidly separated from a chemical solution, and then the reaction mechanism is matched with the material receiving mechanism; therefore, the solid material in the inner charging barrel is quickly guided out, manual intervention is not needed, quick separation of the solid material is guaranteed, the production efficiency of chemical production is improved, subsequent solid-liquid separation operation is avoided, use is more convenient, meanwhile, equipment pipelines are prevented from being blocked, and normal use of equipment is guaranteed.

The invention discloses a sodium hydrosulfite synthesis method, which realizes efficient and safe production of sodium hydrosulfite by changing raw material selection, charging mode, reaction condition and post-treatment mode based on a reaction mechanism and a reaction crystallization technology of sodium hydrosulfite synthesis. The sodium hydrosulfite product meets the requirement of a superior product and the raw material cost is saved; in addition, the method disclosed by the invention briefly reveals the basic principle of reaction, and provides feasible thinking and conditions for automation of the sodium hydrosulfite process.

This invention discloses a catalyst for the alkylation of tert-butanol with styrene to prepare tert-butylethylbenzene and ethylbenzene, its preparation method, and its application. The catalyst consists of a support and active components loaded on the support. The active components are oxides of rare earth metals and high-valence oxides of transition metals. The support is H-β zeolite. The mass contents of the oxides of rare earth metals and high-valence oxides of transition metals on the support are 3-5% and 2-4%, respectively. This invention makes a breakthrough in the reaction mechanism by loading rare earth metals and transition metals onto a β-molecular sieve and using tert-butanol and styrene as raw materials for alkylation. This avoids the polymerization of styrene (raw material) and the dimerization of isobutylene (intermediate product), reduces the generation of by-products, and makes the catalytic process controllable.

The utility model provides a membrane filtration decarburization device for biogas production, which relates to the technical field of biogas production and comprises a reaction mechanism and a main body mechanism, the reaction mechanism comprises an oxidation tank, a cover plate is clamped at the top of the oxidation tank, a stirring shaft is inserted into the cover plate in a penetrating manner, a stirring paddle fixedly sleeves the outer surface wall of the stirring shaft, an agent inlet pipe, an oxygen inlet pipe and an air inlet pipe are fixedly communicated with the top of the cover plate, and a motor is fixedly mounted at the top of the cover plate. And the output end of the motor is fixedly connected with the top end of the stirring shaft. According to the device disclosed by the utility model, a catalyst is poured into the oxidation tank from the catalyst inlet pipe, biogas is introduced by utilizing the gas inlet pipe, oxygen is introduced by utilizing the oxygen inlet pipe, and the stirring paddle is driven to rotate by utilizing the motor, so that the catalytic oxidation efficiency is conveniently improved, hydrogen sulfide and volatile organic compounds in the biogas are removed, and metal parts in the device are prevented from being corroded; the separation performance of the membrane is influenced.

The invention discloses polypropylene polymerization reaction equipment and method, and belongs to the technical field of polypropylene polymerization production. The device comprises a reaction tank, and a treatment mechanism is arranged on the surface of the reaction tank. Through the arrangement of the reaction mechanism, gaseous polypropylene and an added catalyst are centrifugally fused, intermittent centrifugation is adopted during fusion, at the moment, a centrifugal assembly continuously deforms and rotates up and down in a cavity due to the control of the rotation rate, and after primary fusion, the polypropylene not only has certain fluidity, but also is in a relatively viscous state; when the temperature in the cavity is low, hot air is fed into the reaction tank through the upper part of the reaction tank, at the moment, after the hot air is partially blocked by the reaction mechanism, the hot air flows into the reaction tank through the upper part of the reaction tank, and the hot air flows into the reaction tank through the lower part of the reaction tank; the disturbance treatment is turbulent flow and is distributed in the tank, so that the operation steps are reduced, and the working efficiency is improved.

The invention relates to an MOFs-COFs composite material based on covalent bond combination, a preparation method of the MOFs-COFs composite material and application of the MOFs-COFs composite material in the field of photocatalytic hydrogen peroxide production, and belongs to the field of green chemical engineering. The invention aims to provide a method for efficiently producing hydrogen peroxide by photocatalysis based on a covalent bond combination MOFs (at) COFs composite material, and provides an application of the composite material in preparation of hydrogen peroxide. According to the novel method for preparing hydrogen peroxide through photocatalysis, a sacrificial agent and a cocatalyst are not used, so that the method is green, environment-friendly and pollution-free; high yield can be obtained without a pure oxygen environment and an air environment, visible light is used as an energy source, energy consumption is low, safety is high, operation is easy and convenient, reaction conditions are mild, the reaction mechanism is novel, and the yield of hydrogen peroxide in unit time is higher than that of similar prototype materials.