51 results about "Chemical kinetics" patented technology

The invention discloses a rigid chemical kinetic equation solving method based on a hard conservation constraint PINN model, and belongs to the technical field of chemical kinetic equation solving. According to the method, a hard conservation constraint strategy is introduced into the PINN, only calculation is carried out in the calculation process, s3 and s1 are indirectly deduced through a conservation expression, it is ensured that the PINN can conform to the solution of an equation set in the training process, meanwhile, the material conservation law is strictly obeyed, and the invariance of the material conservation quantity is ensured. Compared with a neural network model depending on pure data driving or a soft constraint mode adopted in a PINN, the method has the advantages that the prediction precision is improved on the basis of ensuring physical consistency, and the relative error between a prediction solution and a numerical solution is effectively reduced.

The invention relates to the technical field of nano materials and biological medicines, in particular to black phosphorus-loaded monatomic nano enzyme as well as a preparation method and application thereof. According to the monatomic nano-enzyme loaded with the black phosphorus, the monatomic nano-enzyme loaded with the black phosphorus takes a black phosphorus nanosheet as a carrier, and a metal simple substance is anchored on the surface of the carrier; wherein the metal elementary substance comprises any one of iron, cobalt and manganese. A metal active center is anchored on a black phosphorus nano-carrier, the catalytic activity of monatomic nano-enzyme and the photo-thermal conversion performance of a black phosphorus nano-material are effectively combined, the anti-tumor effect is jointly enhanced through chemical kinetic catalysis and photo-thermal, in addition, a loaded black phosphorus degradation product is mainly phosphate and has biological safety, and the application prospect is broad. The toxicity problem of the traditional nano-enzyme can be solved; the wide application is facilitated.

The invention belongs to the technical field of combustion science and chemical kinetics simulation, and provides a method for predicting the lower combustible limit of mixed combustible gas. The method comprises the following steps: firstly, constructing and verifying a laminar flame velocity mechanism covering a single component and multiple components and the applicability to multi-component fuel; secondly, on the basis that flame stretching and radiation effects are considered in a traditional model, a dynamic instability factor is further introduced, so that the prediction precision of the lower combustible limit of the low-Lewis-number combustible gas is improved; finally, a single-component data set is generated in a unified mode, multiple regression algorithms are adopted for training and comparison, a prediction model is determined in a preferential mode, the Lunchaterow principle is combined, generalization prediction of the multi-component combustible lower limit is achieved, and finally comparison verification is conducted with existing experimental data. According to the system and the method, the dependence on a large-scale training data set is remarkably reduced, the calculation efficiency is improved on the premise of ensuring the prediction precision, and the system and the method have obvious engineering application value and are particularly suitable for the safety-critical field.

The invention provides a low-emission and wide-load coal-fired boiler system based on wall-type wind and ammonia-doped combustion, and the system comprises a combustion environment sensing module which is used for deploying a sensing equipment network and obtaining basic combustion characteristic parameters; the combustion state recognition module is used for carrying out flame stability index extraction, combustion trend prediction and fuzzy reasoning to obtain real-time working condition characteristics; the wall type wind configuration module is used for designing a wall type wind jet flow CFD simulation model and obtaining wall type wind optimal configuration parameters; the differential ammonia doping module is used for constructing an ammonia combustion chemical kinetic model and a three-dimensional mapping query table to obtain a differential graded ammonia doping scheme; the collaborative optimization module is used for comprehensively optimizing the wall type wind optimal configuration parameter differentiation grading ammonia doping scheme; and the performance evaluation module is used for comprehensive performance evaluation and equipment prediction maintenance. According to the invention, environmental data in the boiler can be sensed comprehensively, ultralow emission of pollutants such as NOX and the like is realized, the boiler is kept stable and reaches the standard under large-load fluctuation, and the safety, economic and environment-friendly values of boiler operation are improved.

The application discloses a basic zinc-manganese battery diaphragm and a preparation process thereof, and belongs to the technical field of the preparation of a basic zinc-manganese battery diaphragm. The application relates to a polymerization kettle, a transmission device is arranged on the top of the polymerization kettle, and a mechanical seal is arranged between the transmission device and the polymerization kettle. In the application, the downward sliding of the pressure-increasing disc increases the pressure intensity of the polymerization kettle corresponding to the lower part of the pressure-increasing disc, and the upward sliding of the pressure-increasing disc gradually restores the pressure intensity of the polymerization kettle corresponding to the lower part of the pressure-increasing disc. According to the chemical kinetics principle, increasing the pressure can increase the collision frequency of reactant molecules, thereby accelerating the reaction rate. For the polymerization reaction of olefin monomers, appropriate pressure increase is helpful to shorten the reaction time, improve the production efficiency, and make the reactants more fully contact and react, thereby reducing the residue of unreacted monomers, improving the utilization rate of raw materials, and simultaneously changing the pressure intensity of the lower part of the pressure-increasing disc in a small range, which can play a role in defoaming to a certain extent.

The invention relates to the technical field of atmospheric environment intelligent treatment, and discloses an ozone pollution dynamic prediction and control area discrimination method and system based on mixed symbol-numerical reasoning. The method comprises the following steps: constructing a knowledge graph oriented to the atmospheric photochemical reaction field, wherein the knowledge graph comprises chemical species nodes and edges with temperature-irradiance dependent reaction rates; taking the knowledge graph as a chemical kinetics constraint, taking real-time monitoring data as input, guiding the large model to carry out end-to-end prediction on the ozone peak concentration, and introducing a chemical kinetics consistency penalty term; reversely updating the reaction rate weight in the knowledge graph based on the prediction error and the residual error of the observation value to form a closed-loop optimization mechanism; and judging whether the current atmospheric environment belongs to a VOC control region, a NOx control region or a transition region by combining the uncertainty of large model prediction and the VOC dominant reaction path confidence of the knowledge graph. According to the invention, credible discrimination of ozone generation dominant factors on the principle level is realized.

The invention discloses an environment-friendly gas chemical kinetics calculation method based on a physical information neural network, and the method comprises the steps: constructing an environment-friendly gas chemical reaction kinetics model, constructing a chemical kinetics ordinary differential equation set, and obtaining a corresponding single-hidden-layer physical information neural network architecture; randomly initializing the hidden layer weight and bias and keeping the hidden layer weight and bias unchanged, only setting the output layer weight as a learnable parameter, and embedding a control equation residual error and an initial condition into a loss function; dividing the time domain into a plurality of sub-domains, solving different reaction particles on each sub-domain by adopting different single-layer neural networks, carrying out hard coding on an initial value into the neural networks, taking a final value of each sub-domain after training as an initial value of the next sub-domain, and carrying out training and solving by connecting the sub-domains in series section by section; and constructing a total loss function of the neural network, and carrying out iterative updating on the weight of an output layer until a loss function value is reduced to a given threshold value. According to the method, model calculation can be more efficiently carried out in a high-rigidity multi-reaction coupling system.

The present application relates to the technical field of functional nanomaterials, and in particular to a tadpole-shaped functional carbon nanotube as well as a preparation method and application thereof.The tadpole-shaped functional carbon nanotube provided by the present application has the following characteristics: (1) the whole is a nitrogen-doped U-shaped carbon nanotube; (2) group VIII transition metal nanoparticles are encapsulated at the bottom of the U-shaped carbon nanotube to form the head of the tadpole-shaped carbon tube; and (3) a single-atom zinc is inlaid on the tadpole-shaped tail carbon tube.The tadpole-shaped functional carbon nanotube can realize the cascade of four tumor treatment methods of chemical kinetics, photodynamic kinetics, photo-thermal and chemotherapy, and achieve a beneficial effect of synergistic treatment of tumors.

The application provides a blast furnace carbon monoxide component field calculation method based on digital twinning, relates to the blast furnace carbon emission technical field, studies the distribution of the chemical components in the blast furnace, simulates the gas flow by adopting the Navier-Stokes equation, and solves the two-dimensional blast furnace fluid model by utilizing the grid-based finite difference algorithm, so as to obtain the gas velocity field, the temperature field and the solid temperature field. Meanwhile, the chemical kinetics model is established, the coke combustion, the carbon dissolution loss and the iron oxide reduction reaction are considered. The blast furnace is divided into five subspaces, and the corresponding reaction rate fields are calculated. Finally, the carbon monoxide concentration field is obtained through the iteration of the top gas data. The method can develop the carbon monoxide concentration field model meeting the industrial requirements in real time.

The application discloses a high-entropy conversion-alloy-based negative electrode material in a potassium / sodium ion battery and a preparation method thereof. The material preparation steps are as follows: a certain amount of antimony salt, bismuth salt, tin salt, cobalt salt, manganese salt and nickel salt are weighed according to the stoichiometric ratio and dissolved in deionized water containing tartaric acid to form a uniform solution A; then a certain amount of sodium tellurite is dissolved in ammonia water containing hydrazine hydrate to form a uniform solution B; the solutions A and B are uniformly mixed and subjected to a hydrothermal reaction; and the target "medium-high-entropy" material is obtained through centrifugation, washing and drying. The medium-high-entropy component design can significantly enhance the potassium / sodium storage electrochemical kinetics of the conversion-alloy-based negative electrode material, effectively inhibit the large volume expansion problem in the charging and discharging process, and make the material have high reversible specific capacity, excellent cycle stability and rate performance. In addition, the preparation process is simple and easy to operate, and is suitable for large-scale industrial production.

The invention discloses a quantitative method of a high-concentration target compound and belongs to the technical field of sample detection. The quantitative method comprises the following steps: (S.1) obtaining a corresponding relation between the concentration of a target analyte and the ion signal response intensity for fitting to obtain a quantitative model; (S.2) fitting signal response intensity data obtained by the target compound with gradient concentration according to primary reaction kinetics to obtain a quantitative model; and (S.3) through detection, substituting the sum of ion signal intensities of all products obtained by ionization of a target compound into the quantitative model to obtain a concentration parameter so as to realize quantification. The quantitative method provides a chemical kinetics modeling method for fitting a nonlinear quantitative curve in a wide analyte concentration range for various analytical instruments. The method is not only suitable for a target compound which only generates monomer product ions, but also suitable for a target compound which simultaneously generates monomer product ions and polymer product ions, so that the quantitative capability of an analytical instrument on a target analyte with unknown concentration is greatly improved.

The application belongs to the technical field of antitumor drug preparation, and particularly relates to a pH and enzyme dual-responsive peptide prodrug self-assembled nanoparticle and a preparation method and antitumor application thereof. The self-assembled nanoparticle comprises YDFA and copper ion coordination nanoparticle Cu@YDFA. The YDFA can improve the in-vivo stability of flufenamic acid, tumor-targeted delivery efficiency and selective release capacity in tumor cells of the flufenamic acid through prodrug design, and reduce adverse reactions caused by non-specific distribution of free flufenamic acid. The catechol in the YDFA is coordinated with copper ions to form Cu@YDFA nanoparticles. After the Cu@YDFA enters tumor cells, a Fenton-like reaction can occur with hydrogen peroxide in the tumor cells to produce active oxygen including hydroxyl radicals, thereby enhancing the chemical kinetic treatment effect and synergizing with the flufenamic acid-mediated antitumor effect to improve the treatment effect on tumors.

The invention relates to a rate prediction method and device for high-temperature deposition growth of SiC, equipment and a medium, and relates to the field of silicon carbide preparation.The method comprises the steps that a source gas system adopted by a high-temperature chemical vapor deposition method is obtained, and a chemical kinetics mechanism model is established; establishing thermodynamic data and a transportation database according to gas components related to the chemical kinetics mechanism model; a working condition is specified, grids between a gas inlet and the surface of a seed crystal are divided, then a steady-state control equation is obtained through solving by combining a chemical kinetic mechanism model, thermodynamic data and a transportation database, iterative operation is carried out till calculation convergence of a flow field, a temperature field and a chemical field, and the growth rate of the high-temperature chemical vapor deposition growth silicon carbide crystal is obtained. According to the rate prediction method provided by the invention, the rate of growing the silicon carbide crystals by the high-temperature chemical vapor deposition method can be quickly and accurately calculated by solving a one-dimensional impingement flow, spiral flow and chemical component transport model control equation.

The invention relates to the technical field of generative adversarial networks, in particular to a caprolactone aggregation process simulation method for a fused generative adversarial network, which comprises the following steps: constructing a generator network, receiving multidimensional parameters of an aggregation process, constraining a training process by a physical information verification network, the verification network quantizes the residual error of the chemical kinetics differential equation into a differentiable physical loss item; constructing a discriminator network, evaluating the effectiveness of a generated sequence through a combined loss function including standard confrontation loss, physical constraint loss and dynamic process consistency loss from the aspects of reaction product characteristics and multi-dimensional physical constraints based on a constraint knowledge graph, and designing a parameter-sequence double-layer confrontation mechanism; confrontation training is carried out on the generator network, the physical information verification network and the discriminator network at the same time, and aggregation process simulation data is generated. The caprolactone polymerization process simulation conforming to physical and chemical laws is carried out through the antagonism training of the generator and the discriminator.

The invention provides a carbon-based Cu-Si diatomic nano-enzyme and a preparation method and application thereof. Dopamine hydrochloride is used as a carbon source, anhydrous copper chloride is used as a copper source, sodium metasilicate pentahydrate is used as a silicon source, stirring is performed for 1 h, then a trihydroxymethyl aminomethane buffer solution is used for adjusting the pH value of the solution, then the solution is calcined in a tubular furnace at 400 DEG C for 3 h, and the carbon-based Cu-Si diatomic nano-enzyme (CuSiDA) is synthesized. The designed Cu-Si diatomic nano-enzyme with the carbon base is shown to respond to degradation in a tumor microenvironment, and has relatively high peroxidase-like activity and excellent photo-thermal performance. The three advantages endow the catalyst with high catalytic activity. And finally, due to efficient near-infrared second-region photothermal conversion capability (the photothermal conversion efficiency is 48.5%), photothermal enhanced catalytic treatment can be realized. According to the strategies of the steps, the carbon-based Cu-Si diatomic nano-enzyme which has biological safety and cycling stability and can simultaneously realize excellent optical treatment performance and chemical kinetics treatment performance can be developed.

The present invention discloses a graphite carbon nitride (GCN) with a pyridinic N content regulated by a magnetic field, as well as a preparation method and application thereof. The preparation method specifically uses formamide as a raw material and applies a magnetic field to conduct a solvothermal reaction. Beneficial effects: Formamide used in the present invention is a cheap and readily available chemical material. Graphite carbon nitride with a higher pyridinic N content and lower defects is constructed through a simple chemical reaction, effectively achieving high-value utilization of biomass resources. The resulting graphite carbon nitride with a higher pyridinic N content and lower defects exhibits enhanced chemical kinetics and tumor treatment effects.

The invention relates to the technical field of medicines, in particular to a nano delivery system for treating tumors through immune-chemical kinetics. The hyaluronic acid coated copper peroxide quantum dots are prepared by adopting a one-step method, and hyaluronic acid is used as a stabilizer and a dispersing agent, so that the stability of peroxide can be improved, and the active targeting property is also realized. Meanwhile, the introduction of copper peroxide starts a Fenton-like reaction, and activates a chemical kinetics therapy. In addition, the copper peroxide also reacts with an immunotherapy drug metformin to generate nitric oxide, so that blood vessel normalization is promoted, single-group drug induction is realized, and a pleasant effect of multiple treatments is triggered. In-vivo and in-vitro experimental results show that HMSN-Met-HA-CuO2 has good biological safety and stable nitric oxide release ability, has considerable targeting ability to 4T1 tumor cells, and can effectively inhibit the growth of a tumor model.

The application discloses a kind of digital control systems of food salt scale production process, comprising: multi-dimensional crude brine perception unit, for real-time acquisition of crude brine flow, calcium / magnesium ion activity, conductivity and temperature;Digital twin modeling unit, based on ion strength correction chemical kinetics model constructs virtual mirror, real-time prediction of residual impurity concentration;Medicine dosing pre-control unit, according to prediction value and target component, using feedforward algorithm to solve caustic soda and soda ash dosing flow;Dynamic feedback correction unit, compare actual quality with prediction value, correct control parameters through gradient descent online learning, form closed-loop self-optimizing control.The application effectively improves the response speed and control accuracy of crude brine refining, reduces reagent consumption, ensures product quality stability, and provides an efficient, reliable and intelligent control solution for food salt production.

The invention discloses an environment-friendly gas arc zero-zone attenuation process simulation and regulation method. The method comprises the specific steps that S1, a chemical reaction system of environment-friendly gas is constructed; s2, a thermodynamic unbalanced effect and a chemical unbalanced effect are introduced, a chemical kinetic model is established, and evolution characteristics of the environment-friendly gas arc plasma are studied; s3, verifying and correcting the chemical kinetic model; analyzing key influence factors of environment-friendly gas recovery characteristics; and S4, designing a regulation and control scheme according to the key influence factors, and adjusting the medium recovery characteristics of the environment-friendly gas. According to the environment-friendly gas arc zero-zone attenuation process simulation and regulation method disclosed by the invention, the problem that thermodynamic unbalance and chemical unbalance in the arc quenching stage are difficult to determine in the prior art is solved.

The application provides a multifunctional nano drug delivery system based on iron-doped MOF and a preparation method and application thereof. The system comprises: an Fe / MOF core loaded with a chemotherapeutic drug and an HO-1 inhibitor; a PDA coating layer coated on the surface of the Fe / MOF core for providing near-infrared light heat conversion capability and surface modification interface; and E3 aptamer covalently coupled on the PDA coating layer, constituting a synergistic nano platform with active targeting, pH / NIR dual-responsive drug release, chemical kinetics therapy, ferroptosis sensitization, photothermal therapy and immune regulation functions. The nano system can realize efficient accumulation at the tumor site through active targeting mediated by E3 aptamer, and controllably release drugs under an acidic microenvironment or near-infrared light. A new strategy for multi-mechanism synergistic treatment is provided to overcome the multiple drug resistance and immunosuppression of mCRPC, and has important clinical application prospects.

A computing device configured to store one or more multiscale models of chemical kinetics, the computing device comprising a processor, a memory, and programming in the memory. Execution of the programming by the processor configures the computing device to implement functions. The computing device receives an input model of chemical kinetics. The computing device categorizes the input model with a scale category, and tests the input model based on a quality test. The computing device extracts metadata from the input model, and stores the input model based on the scale category and results of the quality test. The computing device receives a request for the one or more multiscale models of chemical kinetics, including one or more requested metadata. The computing device transmits the input model or a portion thereof in response to the request, based on a match between the one or more requested metadata and the extracted metadata.

The application discloses a kind of natural gas hydrate core decomposition and transport property prediction method, comprising: constructing core geometric model and carrying out grid division;Chemical kinetics model and transport multiphase percolation model of natural gas hydrate decomposition are constructed;Decomposition chemical kinetics model and transport multiphase percolation model are compiled respectively using C language, and embedded in Fluent software in the form of mass and energy source term;The initial distribution of natural gas hydrate, water, gas three phases in core is inverted, and the initial distribution law of natural gas hydrate is obtained;Based on the initial distribution law of natural gas hydrate, the decomposition and transport property of natural gas hydrate core under different exploitation conditions is predicted using Fluent software.The prediction method fills the blank of existing core natural gas hydrate core decomposition and transport prediction method.

The invention discloses a gold nano-enzyme composite material MAuN-coated HA and a preparation method and application thereof, the preparation method of the MAuN-coated HA comprises the following steps: growing gold nanoparticles on MIL-88 (Fe), specifically, uniformly dispersing the MIL-88 (Fe) in water, adding tetrachloroauric acid trihydrate of which the mass is 0.8-1.2 times of that of the MIL-88 (Fe), uniformly mixing, adding a reducing agent into the system, and reacting for 2-5 hours to obtain MAu; then, norcantharidin is loaded on the MAu, and MAuN is obtained; and modifying hyaluronic acid on the surface of the MAuN to obtain the product. According to the composite material disclosed by the invention, through chemotherapy, chemokinetic therapy, enhancement effect of gold atom nano-enzyme on activity of CAT / POD / OXD-like enzyme and multi-catalytic mechanism of Russell effect, remarkable chemotherapy / CDT synergistic therapy is realized, and the problem of low efficiency of traditional CDT therapy is solved.

The invention discloses an iron-based nano-enzyme targeting chimera as well as a preparation method and application thereof. According to the chimera, lipidosome is used as a carrier, a coordination active center is constructed by Plerixabor with CXCR4 high affinity and iron ions, selective adsorption of transferrin is achieved through surface chemical design, and double-target tumor targeted enrichment is achieved by means of TfR1-mediated rapid endocytosis. And meanwhile, selective degradation of CXCR4 through a lysosome way is accelerated, so that synergistic treatment of'blocking transfer signals-chemical kinetics killing 'is realized. The preparation provided by the invention has good biocompatibility and expandability. The platform has the advantages of molecular recognition, protein crown regulation and control, microenvironment response and the like, is suitable for precise treatment of various tumors with high CXCR4 expression, and can be used as a universal membrane protein degradation and chemical kinetics treatment integrated carrier to be expanded and applied.

The application discloses a kind of tannin-based Mn-Fe diatomic metal polyphenol nano-carrier loaded hypocrellin B nano-assemblies and its preparation method and application.The nano-assemblies use tannin as ligand, by step coordination driven self-assembly strategy, first with Mn 2+ Forming pre-assembly template, then introducing Fe 3+ Constructing Mn-Fe diatomic metal polyphenol network with atomic level uniform dispersion, and loading traditional Chinese medicine source photosensitizer hypocrellin B to obtain nano-preparation.The preparation realizes Fe 2+ / Fe 3+ Self-circulation, and can sustainably catalyze H2O2 in tumor microenvironment to generate hydroxyl radical, realizes long-acting chemical kinetics treatment;Meanwhile, in-situ oxygen production relieves tumor hypoxia, improves photodynamic therapy effect, and consumes glutathione to amplify oxidative stress.The preparation process of the application is mild, and biocompatibility is good, and it breaks through the bottleneck of insufficient effect of traditional treatment in anoxic tumor.

The invention relates to the technical field of gearbox lubrication state monitoring, in particular to a lubricating oil quality on-line monitoring system, which comprises a data acquisition module for acquiring disturbance signals and working condition parameters of a main gearbox of a large-scale wind driven generator; the first processing module quantifies the implicit disturbance characteristics; the second processing module identifies core chemical parameters, wherein the core chemical parameters comprise a metal saponification reaction rate constant and a colloid cluster electrophoresis mobility; a third processing module predicts macroscopic rheological phase change and determines a non-Newtonian index; the working condition calculation module calculates the shear rate; the risk calculation module calculates an abnormal wear risk index; the state evaluation module determines evaluation result grades; and the closed-loop control module responds to the evaluation result classification, and when the evaluation result classification is second-level early warning, an active suppression strategy is executed. According to the method, the problem that the microscopic chemical kinetic parameters cannot be obtained in the traditional technology is solved, and a foundation is laid for accurate prediction.

The invention discloses an environment-friendly gas chemical kinetics calculation method based on an ordinary differential equation, and the method comprises the steps: constructing the ordinary differential equation and a loss function according to a constructed environment-friendly gas chemical reaction kinetics model, and carrying out the reduction processing, and obtaining an ordinary differential model; carrying out network training on the Shenchang differential model based on a training and testing data set, adjusting and updating a weight coefficient by adopting a self-adaptive loss function weight, and calculating a network total loss function; and calculating the gradient of the network after the weight coefficient is updated through back propagation, and updating network parameters by adopting a gradient descent method until a loss function is reduced to a given threshold value to obtain a result of evolution of the concentration of each particle in the reaction system along with time. According to the method, model simulation calculation can be more stably and efficiently carried out in a high-rigidity environment-friendly gas chemical reaction system, gradients of different tasks can be balanced, the learning ability of the model to a multi-task process is improved, and the calculation precision is remarkably improved.

The application discloses a preparation method of a cascade catalytic nanoreaction system. The steps are as follows: 1) mixing Cu(NO3)2 anhydrous ethanol solution and potassium chloride, stirring overnight, then adding 2-methyl imidazole dissolved in ethanol, drying to form a precipitate, annealing under an inert atmosphere, etching with sulfuric acid to obtain CuNC single-atom nanoscale enzyme; 2) dispersing the nanoscale enzyme in ultrapure water by ultrasonic crushing, adding glucose oxidase, stirring and centrifuging to obtain nanoscale enzyme CuNC- GOx loaded with glucose oxidase; 3) mixing CuNC- GOx dissolved in ultrapure water with DSPE- PEG- NH2 to obtain the cascade catalytic nanoreaction system. The obtained cascade catalytic nanoreaction system is used for in-situ catalysis of endogenous biomolecules H2O2 in a tumor lesion area, ensures continuous generation of cytotoxic ROS, has a photothermal effect, has a high-efficiency synergistic anti-tumor effect of chemical kinetics and photothermal multi-strategy, and realizes high-efficiency anti-tumor treatment.

The invention relates to a pattern printing regulation and control method and system based on photochromic printing. The method comprises the following steps: performing multispectral space-time coding mapping on a target color pattern corresponding to a pattern printing task to obtain initial time sequence exposure sequence data; performing inverse problem optimization based on light-chemical kinetics on the initial time sequence exposure sequence data to obtain optimized time sequence exposure sequence data; according to the optimized time sequence exposure sequence data, performing multispectral structured light exposure perception analysis on a printing body corresponding to the pattern printing task to obtain actually measured color field analysis data; and according to the actually measured color field analysis data, closed-loop iterative optimization is carried out on the optimized time sequence exposure sequence data until the actual color error value meets a preset color error threshold value, and pattern printing control data is obtained. With the adoption of the method, the production throughput and yield can be effectively improved in the production process under comprehensive conditions so as to meet the production standard.

The present application relates to the technical field of gear box lubrication state monitoring, in particular to a kind of lubricating oil quality on-line monitoring system, comprising: data acquisition module obtains the disturbance signal and working condition parameter of large wind turbine main gear box;First processing module quantifies implicit disturbance characteristics;Second processing module identifies core chemical parameters, and core chemical parameters include: metal saponification reaction rate constant and colloid cluster electrophoretic mobility;Third processing module predicts macro rheological phase change, determines non-newtonian index;Working condition solution module calculates shear rate;Risk calculation module calculates abnormal wear risk index;State evaluation module determines evaluation result classification;Closed-loop control module responds to evaluation result classification, when evaluation result classification is secondary early warning, executes active inhibition strategy.The present application solves the problem that traditional technology cannot obtain micro-chemical kinetics parameters, and lays a foundation for accurate prediction.