352 results about "Chemical process" patented technology

The invention discloses a biomass-based reinforcing agent for paper and application of the biomass-based reinforcing agent. The reinforcing agent comprises a biomass-based material, the biomass-based material comprises a micron-sized structure and a nano-sized structure distributed on the micron-sized structure. The reinforcing agent prepared by the invention has abundant nanostructures, is beneficial to physical crosslinking such as entanglement and bridging of fibers in paper pulp, and improves the wet strength of paper; the preparation of the reinforcing agent is a simple physical process, and a complex synthesis chemical process for synthesizing a polymer in a traditional organic reinforcing agent is avoided; the reinforcing agent is prepared by a dissolution regeneration method, so that the energy consumption is low, the solvent can be recycled and reused, no chemicals are consumed, and the reinforcing agent is environment-friendly; the reinforcing agent prepared by the invention can achieve a satisfactory wet strength effect at a lower content.

The invention relates to the technical field of computer application, and particularly discloses a chemical industry park safety risk assessment method based on an agent model. The method comprises the following steps: constructing a multi-agent collaborative perception framework, and fusing multi-source heterogeneous data of equipment, environment, materials and personnel to form a park panoramic view under a unified space-time reference; establishing an agent behavior model library embedded with the chemical process mechanism and the safety interlocking logic; an intelligent agent decision strategy is optimized through deep reinforcement learning, and multi-target training is carried out by taking a safety index as a reward function; executing dynamic risk deduction and accident chain simulation in a digital twin environment, and quantifying risk probability and consequences in combination with Monte Carlo sampling; and finally, a visual thermodynamic diagram and an interpretable risk assessment report are generated, weak links are identified, and intervention suggestions are provided. According to the technical scheme, dynamic, accurate and prospective evaluation of the safety risk of the chemical industry park can be realized, and the early warning timeliness and the evaluation reliability are remarkably improved.

The invention relates to a chemical production anomaly detection method based on a space-time diagram variational encoder. The method comprises the following steps: selecting public chemical normal working condition data D; an anomaly monitoring model ST-GVAE is constructed, a loss function L (.) is constructed, D serves as input, an Adam optimizer is adopted to train ST-GVAE, model parameters are reversely updated through gradient descent, and trained ST-GVAE'is obtained; a to-be-detected target variable a is selected, normal working condition historical data corresponding to a are input into ST-GVAE ', and an anomaly detection score corresponding to a is obtained and serves as an anomaly detection threshold value of the target variable a; inputting the current chemical working condition data of a into ST-GVAE'to obtain an anomaly detection score corresponding to the current state of a, and if the score is greater than a threshold value, triggering an alarm; and then calculating a reconstruction deviation score B of each node in the PID, taking the node corresponding to the B greater than a deviation threshold as an abnormal node, and outputting the abnormal node. By using the method provided by the invention, the variable abnormal condition of the existing chemical process can be accurately detected and positioned.

The invention discloses an internal-acid and external-alkali type organic-inorganic hybrid molecular sieve catalyst as well as a preparation method and application thereof, and belongs to the technical field of heterogeneous catalytic materials and chemical processes. According to the catalyst, a hydrogen type Beta molecular sieve is used as an acidic inner core, polyvinylpyrrolidone (PVP) is used as an organic shell, and a unique inner-acid outer-alkali structure is formed. The preparation method comprises the following steps: hydrothermally synthesizing a hydrogen type Beta molecular sieve with a specific silica-alumina ratio, and then coating PVP through surface adsorption. The catalyst is used for catalyzing the condensation of methylal and trioxymethylene under mild conditions (40-70 DEG C and normal pressure) to prepare polyoxymethylene dimethyl ethers (DMMn). The PVP shell covers acidic sites on the outer surface of the molecular sieve to form an external neutral / weak base and internal strong acid microenvironment, so that the secondary side reaction of the product is effectively inhibited, the trioxymethylene conversion rate of more than 98% and the DMMn selectivity of more than 96% can be obtained in the reaction at 50 DEG C and normal pressure, the product distribution can be regulated and controlled, and the traditional Anderson-Schulz-Flory distribution limitation is broken through. The catalyst disclosed by the invention has the advantages of high activity, high selectivity, mild conditions and easiness in separation, and has a good industrial application prospect.

The invention discloses a chemical process anomaly type identification method based on a multi-dimensional causal association index, and belongs to the technical field of chemical process monitoring and fault diagnosis. The method comprises the following steps: firstly, carrying out offline modeling: acquiring normal working condition data, constructing a monitoring model by utilizing a trend slow feature analysis algorithm, and determining a statistic control limit; during online application, statistics of real-time data are calculated through a model, and an alarm is given and a type identification process is triggered if the statistics exceed a limit. A multi-dimensional causal association index (MCAI) is constructed by analyzing whether a quality variable deviates or not and further performing comprehensive analysis on a root variable causing an anomaly from four dimensions of a position (CPI) of the root variable in a process, an attribute (CAI) of the root variable in a causal network and an influence propagation capability (CPD) of the root variable. The problem that a traditional anomaly detection method cannot distinguish process faults from new working conditions is solved, false alarm can be effectively avoided, and a decision basis is provided for accurate maintenance.

A method, system, and computer program product are described capable of controlling an industrial based chemical process through accessing sensor data, pre-processing accessed sensor data through an automated process, forming an initial prediction model of the chemical process, and automatically determining linearity or non-linearity of the initial prediction model. As a function of quantitatively measured linearity, being non-linear, quasilinear, or linear, automatically train the initial prediction model, then deploy the trained prediction model in a manner that controls the subject chemical process at the industrial plant, including optimizing consumption of a certain resource. Data-driven modeling of non-linear, continuous-like industrial or chemical processes results.

The invention belongs to the field of real-time monitoring, particularly relates to a chemical process real-time monitoring method and system based on digital twinning, and aims to solve the technical problem that an existing method lacks an online model correction and updating mechanism. The monitoring method comprises the following steps: S1, constructing a state snapshot data set, and synchronously collecting real-time measurement data; s2, identifying a process fluctuation interval, and selecting to-be-selected state snapshots to form an optimal snapshot matrix; s3, calculating a reduced-order truncation error energy ratio, and constructing a reduced-order model based on a reduced-order basis function; s4, in the real-time monitoring stage, if the norm of the prediction residual error is smaller than a monitoring threshold value, a Kalman filtering algorithm is adopted to correct the state coefficient of the reduced-order model; otherwise, calculating the projection error of the prediction residual on each primary function in the standby primary function library; and outputting a full-order state vector reconstructed based on the corrected or updated reduced-order model. The monitoring method provided by the invention ensures the continuous effectiveness and accuracy of monitoring when the chemical process changes.

The invention discloses a phosphorus chemical industry production equipment on-line state monitoring and intelligent diagnosis system based on multi-parameter fusion, and relates to the technical field of chemical industry equipment intelligent monitoring and diagnosis. Functional modules such as data input and preprocessing, equipment wear evaluation, real-time data analysis, fault prediction, personnel risk analysis and comprehensive diagnosis are deeply integrated, and the system accurately adapts to non-stationary characteristics of the phosphorus chemical process by dynamically adjusting a time window and a self-attention weight. The comprehensive diagnosis module innovatively constructs a causal diagram based on self-attention features, generates a structured diagnosis report by using a Transform decoder, and optimizes the diagnosis probability in combination with Bayesian reasoning, so that the accuracy, comprehensiveness and intelligence level of monitoring diagnosis are improved, accurate early warning can be realized, deep insight and optimization operation and maintenance decisions can be provided, and the system has a wide application prospect. And the production risk and economic loss are effectively reduced.

The application provides a method for synthesizing an eplerenone intermediate N-1 by one-pot method, and belongs to the technical field of organic synthesis. The method is characterized in that: the eplerenone intermediate N-4 is dissolved in dichloromethane, a potassium carbonate aqueous solution and dibromohydantoin are added to perform an opening ring reaction; after the reaction is completed, hydrochloric acid is directly added to perform a rearrangement reaction; then water is separated and methanol is added in the organic layer to perform an ozonation reaction; then sodium sulfite is added to perform a reduction reaction; then hydrochloric acid is added to perform a methyl esterification reaction, so as to obtain the eplerenone intermediate N-1 crude product, and finally the eplerenone intermediate N-1 fine product is obtained through refining. The method realizes the one-pot synthesis of the eplerenone intermediate N-1 from the eplerenone intermediate N-4 through the continuous reactions of opening ring, rearrangement, ozonation, reduction and methyl esterification, and can avoid column chromatography purification, so that the method becomes a green chemical process route with greatly reduced organic solvent consumption and wastewater.

The application discloses a boiler blending biomass fuel coupling chemical chain combustion system and concretely relates to the fuel control technical field.The boiler blending biomass fuel coupling chemical chain combustion system comprises an operation monitoring module, a plurality of types of sensor networks are arranged at key positions, whole-process operation data are collected in real time, a time-space monitoring data set covering physical and chemical processes of the combustion system is constructed, and the reliability of data collection is ensured through signal filtering and abnormal value correction; through the construction of a multi-dimensional collaborative control architecture, six-dimensional influence coefficients are fused into a comprehensive distribution index, the distribution strategy of fuel between the main combustion zone and the chemical chain reactor is dynamically optimized, the traditional single control dimension is expanded to multi-dimensional collaborative regulation, and the adaptability of the system to complex fuel characteristics is improved.

This utility model relates to a fluid nozzle, particularly a high-efficiency entrainment-type fluid mixing jet nozzle. It includes a nozzle body, characterized by a double-layer structure comprising an outer circular tube and a central guide cone arranged concentrically; both the outer circular tube and the central guide cone have ejector holes and baffles at their fluid outlet ends. The structure is simple and can be used not only for gas entrainment mixing but also for liquid entrainment mixing, such as the mixing of wastewater and pharmaceuticals, and acid-base neutralization in chemical processes, thus having a wide range of applications. The addition of ejector holes to the nozzle creates a vacuum region inside the ejector hole due to the high-speed flow of the fluid, allowing fluid from outside the nozzle to enter the nozzle, increasing the mixing performance and creating premixing within the tube. Experiments have verified that this structure significantly increases the mixing performance of the two fluids, improves the uniformity of mixing, effectively avoids flame root quenching, and ensures stable combustion.

The invention provides an anti-interference control method for the concentration of a main reactant in a continuous stirring reaction kettle process, belongs to the technical field of chemical process control, and solves the problem that in the chemical process of producing cyclopentanol by catalyzing electrophilic water with cyclopentadienoic acid, the concentration of the main reactant is not influenced. The technical problem that the concentration of a main reactant is difficult to track a set value without steady-state errors under the conditions of fluctuation of feeding concentration, uncertainty and external disturbance of the continuous stirring reaction kettle is solved. According to the technical scheme, the method comprises the steps of constructing a model pre-estimation compensator and an anti-interference control structure, designing a four-dimensional decision model, carrying out parameter collaborative optimization by adopting a multi-target genetic optimization algorithm, and carrying out optimal solution selection based on a TOPSIS method. Under the condition of feed concentration fluctuation, the dynamic response speed and the anti-interference capability of the system can be remarkably improved, and faster adjustment time, smaller overshoot and stronger robustness can be realized in linear and nonlinear models.

The present application relates to the technical field of chemical process equipment control, and particularly relates to a polyformaldehyde polymerization auxiliary agent feeding system, which comprises a collection module, a buffer module, a metering module, a control module, a conveying module, a blocking module and a connecting module. The collection module acquires auxiliary agent attribute parameters and environmental data in real time; the buffer module maintains a micro-positive-pressure inert environment through a nitrogen sealing unit to prevent material oxidation; the metering module generates high-precision data by monitoring quality changes using a liquid loss balance; the control module dynamically adjusts the conveying rate based on a fuzzy PID algorithm; the conveying module uses a micro gear pump to reduce internal leakage; the blocking module absorbs fluid pulsation through a pulse damping unit; and the connecting module has a flexible pipeline structure to block mechanical vibration transmission. The modules cooperate to realize the precise conveying of several milliliters to tens of milliliters of auxiliary agent per hour, improve the feeding stability and precision, and ensure the polyformaldehyde polymerization reaction effect.

The invention relates to the technical field of chemical process control, in particular to an intelligent chemical reaction process regulation and control system and method based on multi-mode online detection, and the method comprises the steps: carrying out the Savitzky-Golay filtering and noise reduction processing of collected near infrared spectrum data, and screening characteristic wavelengths through employing a continuous projection algorithm SPA; jointly inputting the screened characteristic wavelength data and the real-time viscosity data into a pre-trained partial least squares PLS prediction model to obtain a real-time prediction value of the monomer conversion rate; the online self-adaptive mechanism is used for acquiring a latest'spectrum-granularity-viscosity-actual conversion rate 'quaternary data sample at preset time intervals, and carrying out online incremental updating on model parameters through a recursive PLS (Partial Least Square) algorithm; the control quantity is calculated by using a fuzzy PID control algorithm, and the stirring rate of the reaction kettle and the reactant feeding rate are dynamically adjusted. According to the method, comprehensive and accurate data support is provided for real-time regulation and control of the reaction process, and the prediction precision and long-term operation stability of the model are remarkably improved.

The present invention relates to an alcohol conversion process wherein a homogenous transition metal catalyst is used. The alcohol conversion process allows for a profitable and sustainable approach to produce alcohols such as butanol in a way such that the obtained alcohol can be identified as a product of the chemical process employed.

Vertical multi-stage disc countercurrent atmosphere pressure reaction system and reaction method thereof belong to the field of chemical process equipment. In view of the problems of uneven temperature distribution, uncontrollable material residence time and difficulty in realizing continuous operation in the existing equipment, a plurality of large discs and small discs arranged alternately are arranged in the vertical direction inside the cylinder body in sequence, each disc is connected with the central rotating shaft to form an integral rotating structure, a first type of discharging scraper for conveying material from the outer side to the inner side is arranged on the large disc, and a second type of discharging scraper for conveying material from the inner side to the outer side is arranged on the small disc, through the reverse pushing action of the two types of scrapers, the material forms an "outer-inner-outer" alternating migration path between the discs at each stage, thereby constructing a complex flow trajectory coupled with spiral motion and broken line motion in space. The invention realizes the transformation from traditional heat treatment to multi-field coupling reaction control, and has the advantages of high heat transfer efficiency, good reaction uniformity and high degree of continuous operation.

The present application relates to a kind of nickel alloy screen for printing and its manufacturing method, comprising the following steps: step one: select nickel alloy plate as original model;Step two: the surface cleaning of the original model selected in step one is carried out, and surface dirt and oil stain are removed;Step three: using chemical cathode deposition method, with original model as material, add electroforming liquid, complete nickel net integrated molding work by electroforming;Step four: the electroformed nickel net after being treated in step three is demoulded, and nickel alloy net is obtained;Step five: the nickel alloy net after being demoulded in step four is hot melt compounded with PE film by hot melting machine.The present application is integrally formed by micro electroforming, processed and formed by cathode deposition phenomenon in electrochemical process, has very high replication accuracy and dimensional accuracy, can replace the use of traditional screen gauze, and because of its flexibility of arbitrary design, currently has designed multiple schemes to match the use of different scenes.

The utility model discloses durene efficient catalytic oxidation equipment, which belongs to the field of chemical process and reaction engineering and comprises a reaction tank, a feed pipe is fixedly connected to the left side of the top surface of the reaction tank, a discharge pipe is fixedly connected to the middle of the bottom surface of the reaction tank, and opening and closing devices are arranged in the feed pipe and the discharge pipe. A gas conveying pipe is fixedly connected to the right side of the top surface of the reaction tank, a treatment tank is fixedly connected to the right end of the gas conveying pipe, and a purification device is arranged in the treatment tank. The opening and closing devices are arranged on the upper side and the lower side of the reaction tank, the treatment tank is arranged on the right side of the reaction tank, the purification device is arranged in the treatment tank, and feeding and discharging of the reaction tank are controlled through the opening and closing devices, so that manual operation is reduced, and health and safety of workers are guaranteed; and gas generated in the durene catalytic oxidation process is treated through the purification device, so that emission of harmful gas is reduced, and the environment and personnel safety are protected.

The present invention concerns an industrial chemical process (400f) and an apparatus for carrying out that process. The chemical process integrates into a single, combined method: (i) a method (303, 304) of producing iron and / or manganese from their ores, and (ii) a method (205a, 205b, 207, 208, 209) of producing an oxide or hydroxide of at least one of calcium, magnesium and iron from another ore respectively comprising a carbonate mineral of at least one of calcium, magnesium and iron. This combined method has the iron and / or manganese ore and the other ore comprising the carbonate mineral as its only essential ingredients, with common salt and / or water as optional extra ingredients. The combined method produces iron and / or manganese in elemental form, an oxide or hydroxide derived from the carbonate mineral, and oxygen as its corresponding products. If the iron and / or manganese ore also comprises a siliceous mineral, the method may also produce an alkaline mixture comprising sodium silicate as a co-product. Salt and water act as intermediaries to produce these end-products, but are only consumed if supplied in excess. An amount of sodium oxide, hydroxide and / or carbonate determined by the amount of salt consumed may be produced as a co-product, along with a corresponding amount of at least one of chlorine and hydrochloric acid. An amount of hydrogen determined by the amount of water consumed may also be produced as a co-product, along with an increased amount of oxygen. The iron, manganese and oxygen produced may all be used in steelmaking. Any excess oxygen may be safely vented to atmosphere. The oxide or hydroxide derived from the carbonate mineral may be used in cement manufacture, as a flux in steelmaking and / or as an ingredient in the manufacture of soda-lime glass. The alkaline mixture comprising sodium silicate may be used as an alkaline activator for an alkaline activated or geopolymer cement. The sodium carbonate may be used in the manufacture of soda-lime and / or borosilicate glass, for example. The chlorine and / or hydrochloric acid may be used in the manufacture of chlorinated organic compounds, for example. The hydrogen may be used as a fuel in a hydrogen economy. The method of the invention requires no nett input of heat because the chemical reactions it involves are exothermic overall. It also consumes no fossil fuels and has electricity as its only energy requirement. Thus if the electricity is produced from a source of renewable energy, this method produces no greenhouse gas emissions. In some embodiments, the method can even have a negative carbon footprint overall. The invention is intended to replace existing techniques for producing iron and / or manganese from their ores, including hydrogen-DRI, the calcination of limestone and other carbonate minerals, both in cement manufacture and in the production of lime for other purposes, and the ammonia-soda, or Solvay, process for the production of sodium carbonate. The invention therefore has the potential to eliminate up to about 20% of anthropogenic carbon dioxide emissions. [Fig. 9B]

The invention relates to a method and a device for purifying a gas stream comprising 30.0 mol% to 99.8 mol% of carbon dioxide and 0.1 mol% to 60.0 mol% of water, and the use of the process or apparatus for purifying a carbon dioxide stream originating from an industrial chemical process and using the purified carbon dioxide stream as a feed stream in further industrial chemical processes or in beverage production or carbon capture storage.

A system and method for process water and oxide coating recovery and distribution in a direct reduction system, such as a system for producing direct reduced iron. A warm lime softener is used to remove (recover) calcium, alkalinity, and other constituents from the process water system and to produce an effluent that can be further processed and returned as makeup to the process water system. The lime softening process requires lime (or similar material) to be added to the influent, thereby increasing the calcium and pH levels until they become supersaturated and precipitate. This chemical process results in effluent that is low in calcium, alkalinity, and total suspended solids.

The present application relates to the field of industrial software, and provides a chemical process automatic generation method, system and medium. The chemical process automatic generation method comprises the following steps: receiving a natural language description about an industrial process, wherein the natural language description comprises design constraints of the industrial process; starting a multi-agent collaboration system, converting the natural language description into an intermediate representation of the design process through closed-loop interaction among the multi-agents, wherein the multi-agent collaboration system utilizes a semantic entropy index to monitor the logical determinacy of each generation node in the process of generating the design process and triggers a real-time correction mechanism according to the uncertainty quantification result; mapping the intermediate representation into executable instructions of a heterogeneous simulation engine through an adaptation interface to drive the heterogeneous simulation engine to perform physical simulation calculation; and asynchronously extracting the calculation result of the heterogeneous simulation engine to realize closed-loop verification of the design process.

The embodiment of the invention provides a shale oil recovery control method, device and equipment and a medium, and belongs to the technical field of oil and gas recovery. The method comprises the steps of obtaining dynamic data of a reservoir, wherein the dynamic data comprises historical production data and multi-scale feature data used for reflecting the reservoir; based on the dynamic data, an oil reservoir digital twinborn model is constructed, and the oil reservoir digital twinborn model couples seepage, geomechanics, thermal and chemical processes; inputting the dynamic data into a pre-trained machine learning model to obtain initial injection-production parameters; inputting the initial injection-production parameters into an oil reservoir digital twinborn model to obtain a prediction result of production data corresponding to the initial injection-production parameters; based on the prediction result, the initial injection-production parameters are optimized, and optimized injection-production parameters are obtained; and on the basis of the optimized injection-production parameters, displacement and energy complementation operation is conducted on the reservoir. According to the method, the shale oil recovery ratio under the complex structure characteristics of the shale reservoir can be improved.

A method may comprise producing liquid sodium and chlorine gas by electrolysis. The liquid sodium may be redox reacted with iron and / or manganese oxide in an ore to produce iron and / or manganese and s

The present invention relates to a Venturi separator, characterized in that the Venturi separator comprises a Venturi tube and a liquid-phase collector tube which encloses at least a part of the structure of the Venturi tube, wherein the Venturi tube comprises the following sequentially connected sections: an optional constant-diameter section, a reduced-diameter section, a neck and an expanded-diameter section, and the Venturi separator has a gas-phase inlet, a liquid-phase inlet, a liquid-phase outlet and a gas-phase outlet, wherein an opening is provided on a side wall of the expanded-diameter section of the Venturi tube or at the end of the expanded-diameter section, the opening leading to the liquid-phase collector tube so that a liquid phase can leave the Venturi tube and enter the liquid-phase collector tube under centrifugal force.The present invention also relates to the use of the Venturi separator in chemical processes.

The invention provides an epoxy-terminated polyurethane flexibilizer and a preparation method and application thereof, and belongs to the technical field of epoxy composites.The epoxy-terminated polyurethane flexibilizer is prepared from polyol, isocyanate, a chain extender, a catalyst, metal salt and epoxy resin, and the chain extender comprises hydroxybenzoxazine. The epoxy-terminated polyurethane toughening agent provided by the invention contains carbamate groups, benzoxazine groups and five-membered oxazolidinone structures, the groups have strong polarity, and due to the introduction of the five-membered oxazolidinone and the benzoxazine groups, the toughening agent has excellent stability at a high temperature and in a salt mist old chemical process, so that the toughness of the toughening agent is improved, and the service life of the toughening agent is prolonged. The toughening agent is added into the epoxy resin structural adhesive, the adhesion of the epoxy resin structural adhesive to metal materials can be improved while the glass transition temperature is not reduced, and the toughening agent further contains a polyether chain segment which can improve the low-temperature impact resistance of the epoxy resin structural adhesive.

The purpose of the present invention is to provide a yield prediction simulation system and method that can simulate yield prediction by predicting a yield during a second cycle and reflecting a label variation amount on the basis of process operation data during a first cycle. Moreover, the invention also provides a yield prediction simulation system and a yield prediction simulation method, which can divide the first period into a plurality of sections based on the service life of the catalyst and the corresponding yield change, and perform key factor analysis, yield prediction and label variation analysis according to the different sections, thereby improving the yield prediction simulation efficiency. Yield prediction simulation is carried out in the second period, and the prediction accuracy is further improved in the whole period.

The invention provides an electrochemical impedance spectroscopy automatic modeling and fitting method, system, equipment and medium, and belongs to the technical field of electrochemical impedance spectroscopy data analysis. The method comprises the following steps: acquiring impedance spectrum data of an electrochemical system; performing relaxation time distribution analysis on the data to obtain a relaxation time distribution spectrum; identifying the number of effective peaks in the distribution spectrum; an equivalent circuit model is automatically constructed based on the number of effective peaks; and determining the parameter value of each element in the equivalent circuit by adopting a complex nonlinear least square fitting method. By adopting the electrochemical impedance spectrum automatic modeling and fitting method, system, equipment and medium, the number of physical and chemical processes in the system is automatically identified through the relaxation time distribution spectrum, and an equivalent circuit structure is constructed according to the number of physical and chemical processes; the method solves the problems that a traditional modeling method depends on artificial experience, the subjectivity of model selection is high, and DRT analysis and circuit modeling processes are separated, and is suitable for automatic impedance spectroscopy analysis of various electrochemical systems such as fuel cells and electrolytic cells.

The application discloses a hydrogen network optimization method and system based on a Gaussian process regression agent model, and belongs to the field of petroleum chemical process system engineering and technology.The method first constructs Gaussian process regression agent models of desulfurization, denitrogenation and dearomatics reaction kinetics for different hydrogenation devices, respectively, to accurately predict hydrogen consumption and product impurity content with operating temperature and pressure as input;then embeds the agent models of the devices into a hydrogen network optimization model to establish an integrated optimization problem of minimum total annual cost;finally, solves the optimization problem by using an improved differential evolution algorithm combined with a three-stage search strategy of global exploration-local development-convergence verification to obtain optimal operating parameters.The application shortens the optimization calculation time to about 90 seconds, solves the solving difficulty of traditional methods coupled with complex kinetics, realizes collaborative optimization of hydrogenation operation and hydrogen network operation while ensuring product quality, reduces hydrogen consumption and total annual cost of the system, and significantly improves the economic benefit and operation efficiency of the hydrogen system of a refinery.