188 results about "Concentration gradient" patented technology

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 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 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 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 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 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 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.

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 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.

The invention relates to the technical field of gas detection and classification, and discloses a multi-component toxic gas detection and classification method and system for a stamping workshop. The method comprises the following steps: acquiring a multi-component toxic gas concentration data sequence of a plurality of detection points in a stamping workshop space, and screening a matched gas data segment matched with gas concentration distribution characteristics in a current detection period from historical toxic gas data. Then analyzing the concentration change of the matched gas data segment in time sequence, determining a concentration mutation point and calculating time delay, and comparing the change of the concentration gradient data sequence before and after the concentration mutation point with the change of the gas component data sequence to determine the component matching degree. And determining a spatial weight coefficient by combining the time delay, the component matching degree and the concentration distribution difference, carrying out weighted fusion on the component feature vectors through the coefficient to generate a feature vector set, finally inputting the feature vector set into a classifier, and outputting a multi-component toxic gas classification result.

The invention provides a method for growing a 1T-TaS2 single crystal by using iodine as a transport agent through a vapor transport method, and belongs to the field of single crystal preparation. The method comprises the following steps: (1) preparing a TaS2 polycrystal through repeated sintering by a solid-phase reaction method, and (2) uniformly mixing the TaS2 polycrystal with a transport agent I2, and preparing the 1T-TaS2 single crystal by a chemical vapor transport method. The principle of the method is that a solid raw material reacts with a transport agent in a high-temperature region (source region) to generate a gaseous intermediate product. The gas-phase component circulates in the tube through concentration gradient to realize continuous transportation, and finally in a low-temperature region (growth region), the gaseous compound moves in a balanced manner due to temperature difference to generate reverse reaction, and target single crystals are separated out. The 1T-TaS2 single crystal grown by the method has high quality, and is suitable for further research on physical properties such as charge density wave and the like of the 1T-TaS2 single crystal.

The present invention discloses a method for quantitative determination of trace harmful elements in various flotation products of rare polymetallic ores, which includes three parts: sample processing, preparation of complex matrix standard solution and sample testing. Each flotation product is digested with analytically pure concentrated nitric acid; the main mineral species of each product are determined by XRD, and the high-purity standard substances of each main associated mineral are digested with analytically pure concentrated nitric acid, and the content of harmful elements to be monitored is determined by ICP-MS after appropriate dilution; each standard substance digestion solution is diluted to a major element concentration of 1000μg / mL, and used to dilute the harmful element standard stock solution to obtain standard solutions with different concentration gradients; then the process blank and digestion sample are tested using an inductively coupled plasma mass spectrometer using a combination of internal standard method and matrix matching to obtain the content of trace harmful elements to be measured. It effectively overcomes the mass spectrometry and non-mass spectrometry interference problems faced by complex matrix sample testing, is suitable for the analysis and testing of trace element content in complex samples, and has a simple method and is easy to operate.

The invention provides an automatic monitoring and management method and system for high-humidity vegetable protein meat processing, and the method comprises the steps: carrying out the correction processing of a light path transmission loss coefficient according to a spectral data matrix, employing a temperature compensation correction factor and a humidity influence correction parameter to eliminate environmental interference, extracting the position coordinates of a characteristic peak through the first-order derivative transformation, and carrying out the calculation of the position coordinates of the characteristic peak; obtaining standardized spectral characteristic data subjected to environment correction; a sampling time interval sequence is constructed through component concentration data of each detection point, a signal intensity attenuation curve is adopted to correct the time drift influence, interpolation calculation is performed on component concentration gradient distribution according to space coordinate positioning information, and a space distribution diagram reflecting the whole component state of the raw material is obtained. The defects of traditional chemical analysis and manual judgment in the raw material treatment process are overcome, the automation level and efficiency of vegetable protein meat production are improved, and meanwhile, the raw material proportioning accuracy is improved.

The invention belongs to the technical field of analysis and detection, and particularly relates to a method for determining cinnamyl glycine in a biological sample based on LC-MS. The method comprises the following steps: mixing the biological sample with an extracting solution, and performing extraction treatment to obtain supernate; evaporating and concentrating, and re-dissolving in an acetonitrile water solution to obtain a solution to be detected; diluting the cinnamyl glycine standard stock solution with a PBS (Phosphate Buffer Solution) to obtain a standard solution with a concentration gradient; mixing the standard substance solution with the extracting solution, performing extraction treatment to obtain a mixed standard solution, and testing the mixed standard solution through LC-MS to obtain a standard curve; and testing the solution to be tested, and obtaining the content of cinnamyl glycine in the solution to be tested according to the standard curve. The method can be used for accurately qualitatively and quantitatively analyzing the cinnamyl glycine in the sample, has the advantages of simplicity in treatment, high flux and reliable result, and is easy to clinically popularize and popularize.

A submersible mixer intelligent control method and system based on multi-sensor cooperative monitoring relates to the field of sewage treatment, and the method comprises the following steps: arranging multi-parameter sensors at the bottom, the middle and the top of a biochemical pool, and collecting dissolved oxygen concentration, sludge concentration and flow velocity parameters in the biochemical pool through the multi-parameter sensors; calculating a dissolved oxygen concentration gradient value, a sludge concentration gradient value and a flow velocity value between adjacent acquisition points according to the dissolved oxygen concentration, the sludge concentration and the flow velocity parameter, and adjusting a first operation parameter of the submersible stirrer in the target area to a first preset parameter based on a combination relation of the dissolved oxygen concentration gradient value, the sludge concentration gradient value and the flow velocity value; and according to real-time data collected by the multi-parameter sensor, the operation effect after the operation parameters are adjusted is calculated, and when the adjustment effect does not reach the preset effect, the second operation parameters of the submersible stirrers in the adjacent areas are adjusted to second preset parameters. By implementing the method, the sewage treatment effect of the submersible mixer can be improved.

The application discloses an intelligent dynamic grid self-adapting method and equipment for droplet pool simulation of additive manufacturing, and the method comprises the following steps: establishing a simulation model of additive manufacturing by using a pool simulation tool; extracting the simulation real-time gas phase fraction gradient, solid phase fraction gradient, solute concentration gradient and pool temperature gradient of each grid at each time step of simulation as the perceived physical parameters; adaptively calculating the encryption urgency index of each grid according to the perceived physical parameters; obtaining the historical encryption urgency index of each grid, calculating the second-order difference value, and predicting the change trend of the encryption urgency index of each grid at the future time; determining the encryption threshold and the coarsening threshold according to the encryption urgency index of all grids at the current time step, and combining the change trend of the encryption urgency index, the size relationship between the encryption urgency index and the threshold to determine whether the grid needs to be encrypted or coarsened; and iterating until the simulation is completed. The application has high precision, low cost and high automation degree.

The invention relates to the technical field of digital twinning, in particular to a method and system for selecting a survey point of a pollution source of a drainage water body of a drainage system, and the method comprises the following steps: extracting the number of an intersection node, obtaining the flow velocity and the sectional area of a channel, judging the main flow direction, marking a low-flow path, combining the priority and the concentration gradient, and tracking a pollution trend path. According to the method, the intersection node number is extracted, the main communication direction is judged by combining the channel flow velocity and the sectional area, the path recognition precision and the automation level are improved, the expansion direction is marked and terminated by combining the concentration gradient and the priority, and the region boundary termination node is dynamically delimited; according to the method, the pollution diffusion identification capability is enhanced, the continuous concentration change direction is identified, the consistent path is tracked, the trend tracing accuracy is improved, the abrupt change path is screened through the concentration change rate, the suspicious emission section is locked, the investigation nodes are ranked according to the pollution load, and the sampling pertinence and the pollution tracing efficiency are improved.

The present application relates to the field of environmental pollution simulation and control, and discloses a system for simulating the diffusion of radioactive consequences in the environment, comprising: an input and preprocessing module for receiving simulation input data, including the location of the pollution source, the release intensity, the terrain and environmental parameters, and initializing the calculation conditions and the concentration field; a multi-medium coupling module for realizing the coupling of the material flux between the atmosphere, water body and soil through the interface conditions; an adaptive grid module for dynamically adjusting the grid density according to the concentration gradient and error estimation in the diffusion results, so as to optimize the calculation accuracy of the hot spot area; a solving and control module for solving the high-dimensional nonlinear partial differential equation set of the multi-medium coupling model and dynamically adjusting the time step. By processing the diffusion behaviors in the atmosphere, water body and soil in a modular manner and realizing the dynamic flux coupling across the media through the interface conditions, the technical effect of accurately predicting the diffusion path of the pollutants in the complex environment is achieved.

The application provides a kind of hierarchical extraction and analysis method of unrecoverable pollution in contaminated micro / ultrafiltration membrane, belongs to the field of membrane pollution analysis. Including the following steps: (1) pre-cleaning of contaminated micro / ultrafiltration membrane;(2) after the contaminated membrane is dried after pre-cleaning, immerse in the first solvent extraction liquid, make the membrane and the extraction liquid fully contact, after treatment, solid-liquid separation obtains first extraction liquid;(3) the second solvent extraction liquid is added to the membrane sample treated in step (2), the membrane sample is completely dissolved, and the second extraction liquid is obtained;(4) purification and analysis of extraction liquid: add the first extraction liquid or the second extraction liquid drop by drop to 5-10 times volume of pure water, centrifugal filtration solid after phase inversion to obtain purified extraction liquid, and analyze the physicochemical properties of the extraction liquid. The application extracts the unrecoverable pollution in the membrane under different temperature conditions and solvent concentration gradients by introducing polar organic solvent.

The present application relates to the field of water quality detection, and in particular to a method, system, device and medium for detecting solution impurities using a water quality detector. The method comprises: obtaining spectral data of an ion solution to be tested; constructing a correction observation window based on the local concentration gradient on the spectral data to extract local nonlinear features, the local nonlinear features including absorbance gradient variation features and fitting residual anomaly features; establishing a mapping relationship between the spectral data and the water quality detection results based on the local nonlinear features within the correction observation window, and generating a correction coefficient through a scattering correction algorithm; correcting the spectral data based on the mapping relationship and the correction coefficient; and identifying the impurity components in the ion solution based on the corrected spectral data. A stable mapping relationship between absorbance and impurity concentration can be maintained even in a strong ion interference environment, so that the measurement results can maintain reliable accuracy even in a high-concentration ion strength environment.

This invention proposes a deep-sea seabed observation device based on bidirectional concentration gradient gas exchange for dissolved oxygen compensation, belonging to the field of deep-sea exploration and marine instrumentation technology. It solves the problems of existing deep-sea seabed in-situ observation devices, such as the inability to achieve low-disturbance dissolved oxygen compensation and carbon dioxide removal during long-term closed observations, and the difficulty in adapting to extreme high pressures in the deep sea to achieve pressure stabilization, leading to deterioration of the observation environment, data distortion, and insufficient equipment reliability. It includes an observation unit, a power and chemistry unit, and a fixed lifting system. The observation unit comprises an observation cabin, a membrane module installed on the bottom of the observation cabin's hatch, and a circulation hose connected to the membrane module. The membrane module includes a membrane module frame and a PTFE tube fixed to the membrane module frame in a spiral configuration. The PTFE tube is a microporous hose that enables bidirectional concentration gradient gas exchange. The power and chemistry unit is installed at the front panel of the observation cabin via a power and chemistry unit mounting component. It is mainly used for deep-sea seabed observation.

The present application relates to the technical field of feeding control, and particularly relates to an intelligent multi-stage feeding control system for sea cucumber processing, which comprises a data acquisition module for obtaining initial sea cucumber elastic modulus; a multi-stage feeding analysis module for starting a first-stage feeding program based on the initial sea cucumber elastic modulus, and determining a second-stage initial liquid concentration gradient and a second-stage initial temperature gradient to start a second-stage feeding program; a multi-stage feeding control module for constructing a gentle feeding concentration gradient and predicting a first-stage concentration inside the sea cucumber, determining a second-stage process liquid concentration gradient and a second-stage process temperature gradient based on a real-time lag influence coefficient, and predicting a second-stage concentration inside the sea cucumber; and a compensation feeding analysis module for determining a compensation liquid concentration and a compensation time, determining a compensation correction time based on a real-time temperature, and predicting a third-stage concentration inside the sea cucumber. The present application improves the control precision of the multi-stage feeding process for sea cucumber processing.

The invention provides a method and a kit for detecting the content of grease in yeast. The method for detecting the content of grease in yeast comprises the following steps: S1, preparing a sodium chloride solution with a series of concentration gradients; s2, sequentially adding bacterial liquid containing yeast to be detected into the sodium chloride solution, uniformly mixing, then carrying out centrifugal treatment, and after the centrifugal treatment, observing the initial suspended salinity, the middle suspended salinity and the complete suspended salinity of the yeast in the sodium chloride solution; s3, determining the grease content in the to-be-detected yeast according to the initial suspension salinity, the middle suspension salinity and the complete suspension salinity. According to the method for detecting the content of the grease in the yeast cells by using the saline water with different concentrations, the range of the content of the grease in the yeast cells, which can be detected, is about 10%-60%, the detection precision is about 10%, and the method has important significance on rapid detection of the content of the grease in industrial fermentation of the yeast.

This invention belongs to the field of heavy metal ion detection technology, specifically relating to a method for detecting Co based on microwave-synthesized histidine carbon quantum dots from yam. 2+ The method involves adding ground yam powder and histidine to deionized water, stirring, and then microwaving. After centrifugation, the supernatant is filtered through a filter membrane, and the filtrate is the yam-doped histidine carbon quantum dot (F-CDs) mother liquor. Different concentration gradients of Co are added to the F-CDs mother liquor. 2+ Subsequently, the fluorescence intensity of the F-CDs mother liquor increased with Co. 2+ The quenching efficiency F / F0 and Co gradually decrease with increasing concentration. 2+ In 1×10 ‑6 ~9×10 ‑6 The method exhibits good linearity within the mol / L concentration range and demonstrates good selectivity, indicating that it is effective for Co. 2+ The detection is characterized by its sensitivity, speed, and high selectivity.

The invention discloses a control method for shunt calcium reduction in a rare earth extraction process, which comprises the following steps: a rare earth saponification section is divided into N saponification sections which are connected in series, and N is greater than or equal to 4; saponification organic matter is divided into N / 2 streams, the saponification organic matter obtained after stream division is introduced into saponification sections, the first stream of saponification organic matter is introduced from the first stage of a rare earth saponification section, and rare earth feed liquid is introduced from the last stage of saponification section; and adjusting the shunting proportion of each strand according to the working condition of the rare earth saponification section, controlling the shunting proportion of the first strand of saponification organic matters to be 25-35% of the total flow of the saponification organic matters, and controlling the shunting proportion of the residual saponification sections to be not lower than 15% of the total flow of the saponification organic matters. According to the method, the saponification organic phase is subjected to proportion optimization shunting and introduced into different positions of the rare earth saponification section, local Ca < 2 + > concentration gradient peak clipping is achieved, Ca < 2 + > is distributed in a system in a balanced mode, and therefore the CaSO4 precipitation generation risk is remarkably reduced.

The application discloses a numerical simulation calculation method for a reactive solute migration process in a porous medium and relates to the technical field of simulation calculation, and comprises the following steps: in a strong concentration front rapid advancing stage, collecting solute concentration gradient distribution data and flow velocity variation trajectory data, marking a concentration gradient sudden increase section according to a time advancing sequence, extracting a spatial section corresponding to an abrupt change range, and forming a front high sensitive area positioning result; based on the front high sensitive area positioning result, carrying out local grid refinement division on the corresponding spatial section, and simultaneously compressing a time advancing interval, and carrying out concentration evolution calculation in the refined spatial section. Through positioning the front high sensitive area and implementing local grid refinement and time compression, in combination with monotone preservation and directional consistency constraint, the application inhibits negative values and oscillation diffusion; further through dynamic boundary backtracking and neighborhood weighted replacement, the application restores the pollution front position, and improves the prediction stability and risk assessment reliability.

The invention relates to a multi-concentration flow-rate-controllable micro-fluidic chip for zebra fish preference behavior analysis. The micro-fluidic chip comprises a glass base layer and a polydimethylsiloxane layer, wherein the upper part of the polydimethylsiloxane layer contains an integrated chip structure. The chip structure comprises a first chip for controlling concentration gradient, a second chip for realizing dynamic regulation and control of flow velocity and a third chip for observing zebra fish behaviors, and the three chips are connected in sequence to analyze zebra fish preference behaviors. According to the invention, a three-chip integrated design is adopted, and the first chip generates fluids with various concentrations by using a concentration gradient generator with uniform hierarchy distribution; the second chip is provided with a permanent magnet in a fluid channel, an equal-flow-resistance path is constructed, and path switching and the flow proportion of fluid with different concentrations are adjusted to control the flow speed; the symmetrical cavity structure of the third chip enables the concentration-flow velocity combined fluid to be uniformly distributed, and a multi-region environment gradient is formed. The design overcomes the limitation of single regulation and control in the prior art, can cooperatively regulate and control the concentration and the flow velocity, simulates a multi-factor coupling scene, and expands the zebra fish preference behavior research dimension and reliability.