324 results about "Concentration gradient" patented technology

The invention relates to a sensor control method of an air purification system. The pollutant concentration gradient is monitored in real time by combining initial distribution of the sensors, and a pollutant diffusion path is simulated by utilizing a fluid dynamic model; a pollutant source is reversely deduced through sensor data, and the acquisition range of the sensor is dynamically changed; the method comprises the following steps: acquiring multi-dimensional data through physical sensors including particulate matters, temperature and humidity and chemical sensors including VOC and harmful gas, and extracting pollutant characteristics by utilizing PCA (principal component analysis); constructing hazard indexes of pollutants including AQI grading standards, and dynamically evaluating the priority of the pollutants in combination with real-time monitoring data of a sensor; for pollutants with different priorities, resources of the air purification system are distributed, and the air volume of a filter, the adsorption strength of activated carbon and the turn-on time of an ultraviolet germicidal lamp are adjusted; a self-adaptive calibration algorithm is introduced, and sensor output including interference correction of temperature and humidity on the particulate matter sensor is adjusted in real time according to the environment reference value; and dynamically adjusting the maintenance and replacement period of the sensor.

The invention relates to the technical field of atmospheric pollutant detection, and discloses a method and a system for detecting excessive emission of atmospheric pollutants. The method comprises the following steps: acquiring pollutant concentration data of multiple monitoring points in a target area to form an original data set; abnormal value detection and correction are carried out on the data set, sensor fault outliers are eliminated, and a preprocessed data set is obtained; extracting concentration change trend characteristics in a preset time window of each monitoring point, and constructing a spatial-temporal characteristic matrix; inputting the matrix into a pollutant diffusion model, calculating a transmission path and strength between monitoring points, and generating a regional transmission network; identifying a potential source region of abnormal fluctuation of pollutant concentration based on a network, and marking the potential source region as a candidate region to be checked; performing multi-scale concentration gradient analysis on the candidate area, and determining a key monitoring area; arranging mobile equipment in the key monitoring area, and collecting high-precision component data; and comparing the data with a standard emission source feature library, matching emission source types of which the similarity exceeds a threshold value, judging whether the emission exceeds the standard or not, and generating a detection report.

The invention provides an industrial park soil and groundwater pollution early warning grade evaluation method and system.The method comprises the steps that production raw material components of pollution source enterprises, waste discharge data and soil heavy metal concentration evolution data in historical pollution events are integrated, optical sensing data of earth surface and underground monitoring points are combined, and the early warning grade of soil and groundwater pollution is evaluated; constructing a dynamic characteristic factor library reflecting pollution source characteristics; carrying out spatial concentration gradient calculation on the optical sensing data based on the characteristic factor library, and generating a dynamic heat map containing heavy metal distribution and migration trends at the same time; performing cross-modal analysis on the pollution source characteristics and the dynamic heat map, and establishing a spatio-temporal evolution trajectory of a pollution diffusion path; according to the diffusion rate and direction in the track, differentiated pollution risk early warning intervals are divided, and a targeted grading prevention and control strategy is generated. According to the invention, the timeliness of pollution early warning and the targeting of prevention and control measures are improved.

The invention discloses a boundary detection and positioning method suitable for trans-boundary water pollution, and relates to the technical field of river water quality monitoring. According to data obtained at the longitudinal and transverse positions of a river channel of each monitoring point of a selected drainage basin, a two-dimensional hydrodynamic model of the selected drainage basin is established; then, combining with the obtained target pollutant concentration to construct a diffusion model of the target pollutant, identifying and integrating a to-be-positioned region set in each time period, and screening out the concentration abrupt change regions which are spatially adjacent and consistent in concentration gradient change trend through clustering analysis by utilizing the spatial distribution positions and concentration gradient values of the concentration abrupt change regions; and the boundary contour of the pollutant is generated by fitting in combination with the direction information of the flow velocity field. According to the method, after concentration abrupt change areas identified in each time period are integrated, clustering analysis is carried out according to spatial distribution and gradient change trends of the concentration abrupt change areas, pollution boundary contour fitting is optimized in combination with flow velocity field direction information, and pollution boundary detection requirements in a complex water area environment are met.

The invention provides a method and a system for intelligently interactively controlling water production equipment. Wherein heavy metal ion concentration data is collected in real time through a multi-node sensing array, concentration difference fluctuation of adjacent monitoring points is analyzed, and a pollutant diffusion track is deduced; when the monitoring data exceeds the standard, switching of a standby water source is triggered based on a diffusion trajectory analysis result, and a reverse cleaning instruction is generated in combination with the dynamic ratio of the concentration gradient change rate to the diffusion speed; dynamically correcting the concentration deviation by utilizing fluid mechanics parameters in a high-pressure impact process in cooperation with multi-dimensional sensor data, and generating environmental response type pollution grade parameters; finally, a pollutant migration path in the three-dimensional diffusion model is matched according to the pollution level, a decision signal containing emergency water source coordinates and the cleaning priority is output, and full-process closed-loop intelligent control from pollution monitoring to emergency decision is achieved. According to the technical scheme provided by the invention, the response speed and the disposal accuracy of the water quality sudden pollution event are improved.

The invention discloses a fresh commodity after-ripening regulation and control planning method oriented to maturity grading, and relates to the technical field of food science and biologication.The method comprises the steps that physiological parameters of fresh commodities are collected in real time based on a multi-modal sensor, and the physiological parameters comprise the epidermis pigment content, the ethylene release rate, the fruit hardness and the respiration intensity; the collected physiological parameters are input into a multi-objective optimization model based on deep learning, the model fuses a metabolic kinetic equation and an LSTM time sequence prediction algorithm, and a regulation and control parameter combination adaptive to the current mature stage is output; according to the regulation and control parameter combination, the temperature, the relative humidity and the O2 / CO2 concentration gradient of the controlled atmosphere storage equipment are synchronously regulated through a distributed control system, and a plant hormone antagonist is injected through an ultrasonic atomization device; and constructing a supply chain collaborative network based on a block chain technology, binding a grading result with logistics path planning, and adjusting a temperature control strategy and a shelf life countdown parameter of the cold chain transport vehicle in real time through an edge computing node.

The invention discloses a water environment unmanned ship autonomous navigation method, device and equipment based on concentration gradient and a storage medium. The method comprises the following steps: collecting concentration data in a water environment through a sensor carried by an unmanned ship; a time-average concentration gradient rapid inversion model is constructed, the time-average concentration gradient rapid inversion model comprises a simple model and a PINN model which can be directly calculated based on the currently collected concentration data, and the weight ratio of the two models is dynamically adjusted so as to process the collected concentration data to obtain a time-average concentration field of the water body; determining the expected navigation path of the next step according to the concentration gradient direction of the time-average concentration field obtained by inversion; and adjusting the moving direction and speed of the unmanned ship in real time based on the expected navigation path in combination with the motion characteristics of the unmanned ship and the water environment characteristics. According to the invention, efficient pollutant traceability and accurate water quality monitoring in the water environment can be realized.

The invention discloses a self-healing concrete intelligent preparation method and system based on a dynamic optimization algorithm. The method comprises the following steps: S1, feeding: feeding materials to a premixing module by a raw material bin and a repairing agent carrier storage bin; s2, premixing: monitoring the water content of the aggregate fed into the raw material bin in real time by a premixing module, and dynamically adjusting the rotating speed of the premixing module through the water content; s3, gradient stirring: after premixing, feeding the materials into a gradient stirring module, and sequentially stirring; s31, firstly entering a low-speed paddle for stirring, monitoring the stirring resistance moment and the slurry viscosity distribution in real time, and dynamically adjusting the rotating speed of the paddle according to the torque-viscosity relationship; s32, performing ultrasonic homogenization on the materials subjected to low-speed stirring, monitoring the dispersity of each substance in low-speed stirring in real time through an identification camera, calculating the concentration gradient, monitoring the particle size distribution of a carrier at a discharge port of an ultrasonic homogenizer to obtain the particle size of a target aggregate, and dynamically adjusting the ultrasonic frequency according to the particle size of the target aggregate to obtain the target aggregate. And dynamically adjusting ultrasonic power and action time according to the concentration gradient.

The invention relates to the field of water quality detection, in particular to a method, system and equipment for detecting solution impurities through a water quality detector and a medium. The method comprises the following steps: acquiring spectral data of a to-be-detected ion solution; a correction observation window is constructed on the spectral data according to the local concentration gradient and used for extracting local nonlinear features, and the local nonlinear features comprise absorbance gradient change features and fitting residual error anomaly features; establishing a mapping relation between the spectral data and a water quality detection result according to the local nonlinear characteristics in the correction observation window, and generating a correction coefficient through a scatter correction algorithm; correcting the spectral data according to the mapping relation and the correction coefficient; and identifying impurity components in the ion solution based on the corrected spectral data. The stable mapping relation between the absorbance and the impurity concentration can still be maintained in a strong ion interference environment, so that the measurement result can keep reliable precision even in a high-concentration ion intensity environment.

The invention provides a Baijiu brewing process simulation method and system, and the method comprises the steps: constructing a metabolic network model of a flavor synthesis path in a Baijiu brewing process, initializing the boundary condition of the metabolic quantity in the metabolic network model, and carrying out the flux balance constraint of the metabolic path of a target flavor substance according to the boundary condition, obtaining the constraint flux of the metabolic pathway of the target flavor substance, and further calculating the metabolic flux distribution of the target flavor substance in the white spirit brewing process; determining a reaction rate constant of each process parameter combination according to the concentration gradient characteristic and the spatial distribution characteristic of the concentration change information of the target flavor substance; and performing metabolism simulation on the brewing reaction of the target flavor substance according to the metabolic flow distribution and each reaction rate constant, outputting the metabolic quantity of the target flavor substance under each process parameter combination, and further screening the brewing process parameters of the target flavor substance. Based on the scheme, multi-parameter metabolism simulation of a flavor substance synthesis path in a white spirit brewing process can be realized.

The invention relates to the technical field of hydrogel materials, and discloses a preparation method of self-growing hydrogel based on spatial morphology gradient change. The method comprises the following steps: constructing a hydrogel self-growth reaction environment comprising a self-growth initiator layer and a space confinement layer; covering the space confinement layer with a self-growing monomer aqueous solution, and forming concentration gradient distribution through diffusion to obtain a self-growing reaction mixing system; culturing the self-growth reaction mixed system, and forming the self-growth hydrogel with spatial morphology gradient change through a self-growth reaction of the self-growth monomer based on concentration gradient difference and the initiation effect of a free radical initiator; by selectively degrading alginate single-network hydrogel in a target mixed system, homogeneous self-growing hydrogel with spatial morphology gradient change is obtained. Based on the method, external equipment or a complex process is not needed, and the hydrogel can form a structure with spatial morphology gradient change in a self-growth mode under a constant-temperature condition.

The invention discloses an unconventional feed quality assessment method and system, and relates to the technical field of unconventional feed quality assessment, and the method comprises the following steps: in a feed high-temperature drying treatment process, establishing a multi-dimensional sensing monitoring baseline, continuously obtaining mercury vapor concentration gradient, moisture evaporation rate and airflow velocity field data in a feed drying environment, and calculating the quality of the feed; forming a time sequence feature set reflecting the dynamic change of mercury vaporization; and constructing a gas-solid interaction analytical model by using the time sequence feature set, and carrying out coupling analysis on the mercury vapor migration trajectory and the temperature distribution and humidity distribution of the feed particle surface to generate a spatial distribution data set representing the spatial distribution feature of the mercury vapor redeposition region. According to the invention, the whole-process monitoring and dynamic regulation and control of mercury vaporization, migration and redeposition in the feed drying process are realized, through multi-dimensional monitoring, amplitude limiting control and high-frequency disturbance, the mercury distribution is balanced, the risk is reduced, the drying safety and the feed quality stability are improved, and the controllable management of heavy metal pollution is effectively realized.

The invention discloses a temperature control method for low-temperature high-NOx-concentration flue gas denitration in the nuclear industry, and relates to the technical field of flue gas denitration control. According to the method, flue gas temperature time sequence distribution, NOx concentration gradient and environment radiation intensity data are integrated through a space-time alignment algorithm, a synchronous data matrix representing a system coupling state is generated, then a temperature and efficiency response curved surface is established, a high-efficiency temperature area and an inactivation risk area are dynamically divided through fuzzy logic control, and an optimal temperature regulation and control threshold value is recognized. The drift effect of quantitative radiation on the surface temperature of the catalyst is analyzed through regression, a quantitative relation model of radiation dose and temperature zone deviation is established, and real-time correction of anti-radiation compensation parameters is achieved. And finally, optimizing the multi-objective cost function by adopting a non-dominated sorting genetic algorithm, and obtaining dynamic balance between the maximum NOx conversion rate and the minimum temperature fluctuation. And multi-parameter coupling control of a temperature field and a radiation field is realized, and the denitration efficiency stability under a low-temperature condition is remarkably improved.

The invention relates to the field of medical materials and medical instruments, and discloses a dry bioprosthetic valve and a preparation method thereof.The preparation method comprises the following steps that S1, pericardium and a cross-linking agent solution are mixed for a cross-linking reaction; s2, carrying out first dehydration treatment on the crosslinked pericardium by adopting a first dehydration solution with gradually increased concentration gradient under an ultrasonic condition; and S3, carrying out second dehydration treatment on the pericardium subjected to the first dehydration treatment by adopting a second dehydration solvent, so as to obtain the dried bioprosthetic valve. According to the preparation method provided by the invention, ethanol, isopropanol and water in a specific proportion are adopted to prepare a dehydration solution with gradient concentration, and two-step dehydration drying is carried out in combination with the physical effect of an ultrasonic technology and glycerol, so that rapid rehydration of the bioprosthetic valve is realized, and the original shape and mechanical property of the bioprosthetic valve can be better recovered after rehydration; and the immediate hemodynamic stability of the valve is improved.

The invention relates to the technical field of automatic control, and discloses a flood season water quality monitoring method and system based on a variable speed integral PID controller. The method comprises the following steps: acquiring and fusing pollutant concentration data and water level fluctuation parameters in a flood season water body through a sensor network to obtain a current water quality state index; according to the current water quality state index, time sequence change data of pollutant concentration is extracted, concentration gradient information is calculated, freshness analysis is carried out on the concentration gradient information, and weighted gradient information is generated; fusing the weighted gradient information with historical water quality monitoring data, determining a comprehensive gradient trend, and obtaining a preliminary update value of a variable speed control coefficient through a variable speed integral PID control algorithm according to the comprehensive gradient trend; if the preliminary update value exceeds a preset range, an iterative optimization algorithm is adopted to obtain a refined variable speed control coefficient, operation parameters of water quality control equipment are adjusted, and a dynamic regulation and control result of the water quality in the flood season is output, and the control accuracy of the concentration of pollutants in the water quality is improved.

The invention discloses a method for preparing deuterium-depleted water through cooperation of magnetic resonance and electrolysis strengthening, and particularly relates to the technical field of deuterium-depleted water preparation, and the method comprises the following steps: S1, injecting water to be treated into a magnetic resonance reaction chamber, and carrying out magnetic resonance treatment, so that the vibration energy level of a deuterium-oxygen bond is improved through a nuclear magnetic resonance effect, the bond energy is enhanced to 5.0-5.2 eV, and the deuterium-depleted water is obtained; forming a metastable-state deuterium-containing water molecular structure; s2, the water subjected to magnetic resonance treatment is guided into a three-electrode electrolytic bath for pre-electrolysis, then a gradient voltage electrolysis process is adopted for reinforced electrolysis to form a deuterium concentration gradient, and therefore hydrogen and electrolytic residual liquid are separated; and S3, finally performing gas-liquid isotope fractionation to finally prepare the deuterium-depleted water. According to the method, deuterium-oxygen bond energy is enhanced through magnetic resonance pretreatment, low-temperature gradient electrolysis and vacuum rectification are combined, a magnetoelectric synergistic isotope separation system is constructed, and the method has the advantages that the separation efficiency can be improved, the energy consumption can be reduced, the separation coefficient can be improved, the material utilization rate can be improved, and the deuterium content of the prepared deuterium-depleted water is lower than 30 ppm.

The invention relates to the technical field of intelligent detection, in particular to an intelligent detection system and method for traditional Chinese medicine purification components, and the system comprises a component extraction module, a concentration distribution correction module, a dynamic matching optimization module, a fluctuation suppression control module and an execution path adaptation module. According to the invention, through intelligent analysis and optimization of concentration distribution, temperature and pressure factors in a traditional Chinese medicine purification process, accurate control of target component concentration and impurity distribution is realized, concentration gradient data is extracted, a related model is established, change of component extraction and concentration distribution is effectively corrected, accurate separation of target components and impurities is ensured, and the purity of the traditional Chinese medicine is improved. Aiming at the fluctuation influence, the fluctuation influence in the purification process is reduced and the purification efficiency and stability are improved through dynamic optimization and adjustment of the distribution sequence and the fluctuation suppression strategy, so that the purification quality of the target component is continuously optimized, and accurate component control and high-quality purification results in the traditional Chinese medicine purification process are ensured.

The invention discloses a method for quantitatively testing trimethyl phosphate by nuclear magnetic resonance spectroscopy, which relates to the technical field of chemical detection and comprises the following steps: weighing a quinalphos internal standard substance and dissolving the quinalphos internal standard substance in deuterated methanol to prepare an internal standard substance solution for later use; the method comprises the following steps: adding a trimethyl phosphate sample into deuterated methanol, respectively preparing solutions with different concentration gradients, adding an internal standard substance solution, respectively measuring integral areas of a measured sample and an internal standard substance, drawing a concentration configuration marking line, and calculating a linear regression equation; the method comprises the following steps: preparing a quinalphos standard solution and a candidate sample solution by using the same solvent and internal standard substance by using a phosphorus spectrum nuclear magnetic quantitative method, carrying out sample introduction analysis on the candidate sample solution, and testing the integral area of trimethyl phosphate and quinalphos; and calculating the content of trimethyl phosphate.

The invention provides a method for detecting vitamin C based on oxidase active nano enzyme. The method comprises the following steps: preparing a first mixture formed by mixing MnO2 (at) MIP nano-enzyme, a TMB solution, a HAc-NaAc buffer solution and a sample to be detected, and a second mixture formed by mixing MnO2 (at) MIP nano-enzyme, a TMB solution, a HAc-NaAc buffer solution and vitamin C with different concentration gradients; reacting the first mixture and the second mixture under the same predetermined reaction condition, and measuring the absorbance of a product after reaction under a predetermined wavelength to respectively correspond to absorbance values A1 and A0; obtaining a linear regression equation based on the A0 and the vitamin C with different concentration gradients, and determining the content of the vitamin C in the sample to be detected based on the linear regression equation and the A1. The method provided by the invention is rapid in detection and extremely high in sensitivity.

The invention discloses a chemical chromogenic reaction time sequence characteristic analysis method based on a CNN-LSTM model, and aims to establish a relationship between a chemical reaction color characteristic signal and time change. The method comprises the following steps: firstly, pretreating a PAD (paper-based analysis device) by using a phenanthroline reagent, and then dropwise adding iron ion solutions with different concentration gradients; in a single-light-source and all-black environment, continuous image data in a reaction process is acquired, and a rich data set is obtained. Preprocessing the acquired image data, including operations of cutting, denoising, enhancing, normalizing and the like, and extracting effective image information; spatial features of each frame of image are extracted by using a convolutional neural network (CNN), the features are input into a long short-term memory network (LSTM), time dynamic features of color changes are learned, and finally a change rule of the color features along with time or a prediction result is output. The invention provides an efficient and accurate chemical chromogenic reaction dynamic analysis method which can be widely applied to the field of chemical reaction monitoring and analysis.

The invention discloses a method for detecting trace chromium element in copper foil based on ICP-OES (Inductively Coupled Plasma-Optical Emission Spectrometer), which comprises the following steps: soaking a lithium battery copper foil in a mixed solution of concentrated nitric acid and hydrofluoric acid for high-temperature digestion, adding a scandium internal standard solution, and fixing the volume to obtain a solution to be detected; preparing a mixed standard solution of chromium element and scandium element with a plurality of concentration gradients, and establishing a standard curve through ICP-OES; and determining the content of the chromium element in the to-be-detected solution according to the standard curve. The lithium battery copper foil is digested through a mixed acid system, concentrated nitric acid provides an acid environment and an oxidation effect, hydrofluoric acid promotes dissolution, it is ensured that the copper foil is completely dissolved, and the digestion efficiency is improved; a scandium internal standard method is introduced, a dynamic background correction mode of ICP-OES is adopted, a scandium internal standard element can correct signal fluctuation in a sample introduction process, dual guarantee is formed by the scandium internal standard element and dynamic background correction, interference of a copper matrix on a Cr spectral line is specifically eliminated, and the trace chromium element detection precision is remarkably improved.

The invention relates to the technical field of medicine detection, in particular to a detection method of sildenafil citrate tablets, which comprises the following steps: S1, placing contents and target samples with different water contents in a plurality of containers; s2, determining the drug concentration of each region based on the color development characteristics of the diffused image of the target sample in the container at different detection time points, and calculating the concentration gradient component and diffusion concentration gradient of the target sample; s3, measuring the total amount or the concentration of the residual medicine of the target sample in the plurality of containers in a preset time period so as to determine the residual degree of the target sample; and S4, determining the diffusion difference degree based on the diffusion concentration gradient and the residual degree, and evaluating the diffusion adaptability of the target sample based on the diffusion difference degree. The accuracy and depth of drug diffusion performance research are improved, reliable data support is further provided for drug research and development and quality control, and drug quality can be improved.

The invention provides a recirculation flue gas denitration load reduction evaluation method, which comprises the following steps: acquiring flue gas temperature, residual oxygen concentration and recirculation flow transmitted by a multi-point temperature collector and an oxygen content monitoring device, and performing data fusion processing to obtain temperature gradients and oxygen concentration gradients corresponding to different extraction positions; a preset target oxygen concentration threshold value of the denitration system is obtained, the deviation degree of the local oxidizing atmosphere strengthening degree grade and the target oxygen concentration threshold value is evaluated, the oxygen content proportion of the hearth is adjusted according to the deviation degree, and a wind pressure set value is obtained; and the recirculation flow and the residual oxygen concentration variation corresponding to the optimal extraction scheme are extracted, the oxygen concentration reduction amplitude is evaluated, the denitration load reduction proportion is quantified according to the oxygen concentration reduction amplitude, and denitration load reduction is evaluated.

The invention belongs to a preparation method of a metal composite plate, and provides a composite plate with a multi-layer heterogeneous interface and a preparation method of the composite plate in order to solve the problems that according to an existing method for introducing heterogeneous distribution into a metal material, introduction is limited to partial areas of the surface layer of the material, cost is high, and the introduction form is single. And a multi-layer heterogeneous structure with component gradient isomerism, grain size isomerism and macroscopic performance isomerism is formed at the interface of the low-alloy element alloy plate and the corresponding aging strengthening type high-alloy element alloy composite plate and in adjacent areas on the two sides of the low-alloy element alloy plate and the corresponding aging strengthening type high-alloy element alloy composite plate. The obtained initial composite plate is heated, solute atoms are promoted to diffuse towards a low-alloy-element alloy plate area under the driving effect of a large concentration gradient near an interface, component gradient isomerism is directly formed, then the composite plate is subjected to cold deformation in the welding direction, high-temperature recrystallization heat treatment is conducted, and the composite plate is obtained. And the pinning effects of the solute atoms distributed according to the gradient on the crystal grains are also differently distributed in space, so that the crystal grain size isomerism is formed.

The invention relates to the technical field of oil-gas field development and reservoir protection, in particular to a low-permeability tight reservoir clay stabilizer mixing amount optimization method, which comprises the following steps: firstly, enabling a rock sample and clay stabilizer solutions with different concentration gradients to generate imbibition to obtain nuclear magnetic signal peak areas corresponding to different imbibition moments; obtaining a liquid inlet amount change rate K sequence and a permeability change rate K sequence; then obtaining a first weight coefficient alpha and a second weight coefficient beta; and finally, calculating a comprehensive decision index CDI sequence. Taking the concentration of the clay stabilizer solution corresponding to the permeability change rate K less than or equal to the maximum permeability damage threshold value Kmax and the minimum value of the comprehensive decision index CDI as the optimal clay stabilizer concentration; according to the method, accurate and differentiated optimization of the mixing amount of the clay stabilizer is achieved, the defects of an existing static evaluation method are overcome, and the method has important significance for protecting a low-permeability tight reservoir and improving the recovery ratio.

The invention relates to the technical field of gas permeability testing, in particular to a method and device for measuring the hydrogen permeation rule of nonmetal in the thickness direction, and the device comprises a first supporting seat, a hydrogen filling tank, a sample, a hydrogen measuring hose, a hydrogen concentration detector, a second supporting seat, a hydrogen filling hole, a pressure relief hole, a detection hole, an exhaust window and a sealing O-shaped ring; hydrogen is charged through a hydrogen charging hole in one side of the hydrogen charging tank, the hydrogen permeates in the thickness direction of the sample according to the concentration gradient, and the hydrogen permeates into a detection hole and then enters a hydrogen concentration detector through a hydrogen measuring hose; the device can be used for measuring the hydrogen permeation rule of nonmetal in the thickness direction, and provides experimental support for related hydrogen permeation simulation, so that a basis is provided for research, development and selection of nonmetal materials of a hydrogen conveying system.

Disclosed herein is a method, system and apparatus for forming, by a cyclic process, a dopant concentration gradient in a doped hafnium zirconium oxide (HZO) layer on a substrate, the cyclic process includes, providing the substrate in a reaction chamber, a) pulsing a hafnium precursor(s) into the reaction chamber, where at least a part of the substrate is contacted with the hafnium precursor(s), b) pulsing a zirconium precursor(s) into the reaction chamber, where at least a part of the substrate is contacted with the zirconium precursor(s), c) pulsing an oxygen reactant(s) into the reaction chamber, where at least a part of the substrate is contacted with the oxygen reactant(s), d) pulsing a dopant precursor(s) into the reaction chamber, where at least a part of the substrate is contacted with the dopant precursor(s), and e) purging the reaction chamber.

The present invention provides a multi-nuclide synchronous integrated magnetic resonance imaging nuclide quantification system and a use method therefor. The quantification system comprises n sealing containers, n ≥ 5 and being an integer. The n sealing containers are sequentially marked as container 1, container 2, container 3, …, and container n. The sealing containers are filled with a mixture containing all pre-imaging nuclides, and non-1H pre-imaging nuclides with which container 2, container 3, …, and container n are filled maintain a known concentration gradient, with the concentration gradient number being n-1. When the quantification system is used, a radio-frequency field correction coefficient distribution diagram is calculated on the basis of an image of container 1; the remaining containers are placed around an imaging part and imaged at the same time, and the radio-frequency field correction coefficient distribution diagram is used to correct the obtained images; and finally, the concentrations of different non-1H pre-imaging nuclides of a region of interest are sequentially calculated according to a fitting method. The concentration of the pre-imaging nuclide obtained in the present invention is an absolute concentration, facilitating the longitudinal observation of the change in the molecular level of the region of interest.

The invention discloses a method for accurately measuring trace calcium in high-purity magnesium metal by combining membrane desolvation and triple quadrupole mass spectrometry, which comprises the following steps: (1) sequentially adding water to wet a high-purity magnesium sample and adding acid to dissolve the sample to obtain a digestion solution, and adding an internal standard solution into the digestion solution; (2) preparing calcium element solutions with multiple concentration gradients, adding the internal standard solution, fixing the volume, and shaking uniformly; (3) sequentially carrying out atomization treatment and membrane desolvation treatment on the prepared solution to respectively obtain dry aerosol of the to-be-detected solution and the standard solution; and (4) carrying out scanning determination on the dry aerosol of the solution to be detected and the standard solution in the step (3) by using a triple quadrupole mass spectrometer, and calculating to obtain the calcium content in the high-purity magnesium sample. According to the method, the 24Mg16O polyatomic interference brought by the matrix element and the mass spectrum interference of the working gas Ar on the to-be-detected element 40Ca are removed through membrane desolvation and triple quadrupole mass spectrometry, so that the trace calcium element in the high-purity magnesium sample can be accurately determined, and the lower determination limit can reach ppb level.

The invention relates to a method for evaluating the residual service life of a high-corrosion pipeline. The method comprises the following steps: data acquisition: deploying a multi-film sensor network, and acquiring temperature distribution, dynamic pressure value, F <-> concentration, wall thickness reduction, local stress distribution, corrosion rate, material strain deformation, environment humidity, pH value change and Cl <-> concentration in real time; calculating the annual corrosion rate: based on an improved Arrhenius-Butler corrosion kinetic equation, embedding an F-concentration gradient model, and adopting a KPCA-FA-ELM combined algorithm to obtain an annual corrosion rate calculation equation, and calculating the residual service life of the pipeline: calculating the service life of the pipeline by utilizing the annual corrosion rate, and calculating the residual service life of the pipeline. And the remaining service life of the pipeline is equal to (the initial thickness of the pipeline-the minimum allowable wall thickness) / Rcorr * the safety coefficient-the service life of the pipeline. The method is advanced in technology, practical in engineering and dynamic in adaptability, and a reusable technical framework is provided for service life evaluation and risk management of the high-corrosion industrial pipeline.