32 results about "Langmuir" patented technology

The invention belongs to the technical field of substance detection, and particularly provides application of a chiral Ag / Bi6S2O15NWs composite film with SERS (Surface Enhanced Raman Scattering) activity in detection of ergothioneine. According to the invention, the silver nanowires are assembled into the thin film by using a Langmuir-Blodgett (LB) technology, and a simpler detection method based on SERS (Surface Enhanced Raman Scattering) is developed. The stability and SERS (Surface Enhanced Raman Scattering) performance of the chiral film are further improved by utilizing the coating of the bismuth-based nanowires (Bi6S2O15NWs). The SERS substrate is used for detecting natural L-amino acid EGT with antioxidant and anti-inflammatory effects, and the detection limit of the SERS substrate is 0.248 mu g / mL. The method provides a novel, efficient and sensitive method for detecting EGT in cosmetics, and supports product development and quality control.

The invention discloses a hydrophobic-carbonization coupled chloride ion diffusion bonding prediction method and system, and belongs to the field of inorganic cementing material durability numerical analysis and multi-field coupling modeling. The method comprises the following steps: dividing chloride ions in a material into free chloride ions and combined chloride ions, and establishing a total chloride ion concentration expression relationship; under a two-dimensional transmission condition, establishing a chloride ion diffusion-binding coupling control equation based on mass conservation and Fick diffusion law, and introducing a hydrophobic correction factor and a carbonization influence factor; a Langmuir isothermal adsorption model and a first-order kinetic equation are adopted to describe the chloride ion binding behavior; and carrying out numerical solution on the unsteady migration and combination process of the chloride ions in the cementing material to obtain the spatial and temporal distribution of the chloride ion concentration under different conditions. The method can quantitatively describe the coupling influence of hydrophobic modification and carbonization on chloride ion diffusion and binding behaviors, is high in prediction precision, and is suitable for durability analysis and engineering life evaluation of alkali-activated materials and geopolymers.

The invention provides a lanthanum modified magnetic nano carbon adsorbent as well as a preparation method and application thereof, and belongs to the technical field of water treatment. The method comprises the following steps: performing catalytic pyrolysis on biomass by Fe < 3 + > to form hierarchical porous biochar; epitaxially growing a Fe3O4 magnetic layer by a hydrothermal method; carrying out free radical polymerization grafting on poly (1-vinyl imidazole); and La < 3 + > coordination loading and alkali activation. When 0.03 g / L (pH is 3-4) of the obtained adsorbent is added into phosphorus-containing wastewater, the 30-min phosphate removal rate is larger than or equal to 94%, the Langmuir adsorption capacity is larger than or equal to 117.32 mg P / g, and the adsorption retention rate is larger than or equal to 90% and the La dissolution rate is smaller than or equal to 0.2% after five times of circulation. According to the lanthanum modified magnetic nano-carbon adsorbent as well as the preparation method and the application thereof, lanthanum modification is performed on the magnetic nano-carbon, so that the obtained lanthanum modified magnetic nano-carbon adsorbent has the advantages of high adsorption capacity on phosphate in a water body, good selectivity, high removal rate, easiness in separation and recovery, small mass loss, no dissolution, no secondary pollution problem and the like.

To provide a method of manufacturing a metal oxide film or a metal nitride film on an Si substrate which is not affected by an Si oxide layer or is affected by the Si oxide layer to an extremely small extent.SOLUTION: The method for producing a metallic oxide film comprises growing a metallic oxide film or a metallic nitride film on an Si substrate, wherein the Si substrate is cleaned with a soln. containing NH4F. Supplying the Si substrate after the cleaning to a reaction chamber and adsorbing a metal layer made of a metal constituting the metal oxide film or the metal nitride film on the Si substrate, wherein the adsorption of the metal layer is performed by applying a pressure P (Pa) within a pressure range (Pa) in which an adsorption rate and a desorption rate of the metal constituting the metal oxide film show an equilibrium state in a Langmuir adsorption isotherm at an arbitrary temperature T (°C), subsequently, epitaxially growing the metal oxide film or the metal nitride film.SELECTED DRAWING: Figure 4

This invention provides a method for predicting the equilibrium adsorption capacity of an adsorbent material for an adsorbate at any initial pH value, belonging to the field of phosphorus removal technology for phosphogypsum lightweight aggregates. The prediction method of this invention includes the following steps: using a Langmuir isotherm adsorption model, obtaining the theoretical maximum adsorption capacity and affinity constant of the adsorbent material for the adsorbate at at least four different initial pH values; establishing empirical functions for the theoretical maximum adsorption capacity and affinity constant with the initial pH value as the independent variable, and substituting these functions into the Langmuir isotherm adsorption model to obtain a pH-corrected isotherm adsorption model; and based on the pH-corrected isotherm adsorption model, predicting the equilibrium adsorption capacity of the adsorbent material for the adsorbate at any initial pH value. The prediction method of this invention can predict the equilibrium adsorption capacity of the adsorbent material for the adsorbate at any initial pH value, eliminating the need for repeated experiments, saving time and effort, and reducing costs.

The invention provides an ultrasonic atomization Langmuir membrane continuous self-assembly preparation process for any substrate, and relates to the technical field of nano materials, and components used in the preparation process comprise a booster, a track circulating propeller, an ultrasonic atomization device, a water tank, a fence, a fence booster and a substrate base component, the preparation process comprises the following steps: 1, preparing and modifying a nanoparticle suspension solution; 2, cleaning and activating the substrate base assembly and placing the substrate base assembly into a water tank; 3, spraying the suspension solution to a water-air interface through ultrasonic atomization; 4, compressing the fences to form a single-layer Langmuir membrane; 5, downdraft liquid drop transfer film to a substrate base assembly; 6, drying and removing the dispersing agent; 7, repeating the steps 3-6 to realize multi-layer continuous self-assembly; the whole process is carried out in a normal-temperature and normal-humidity environment, nanoparticles are dispersed in a volatile organic solvent, the solution is atomized into micron-sized liquid drops with uniform particle size through an ultrasonic atomization device, and the micron-sized liquid drops are sprayed to a water-air interface.

The invention discloses a method and a system for predicting competitive adsorption saturation of multiple pollutants on activated carbon. The method comprises the following steps: inputting basic parameters and Langmuir adsorption parameters of an activated carbon adsorption box; calculating a dominant aperture correction coefficient of each pollutant according to the dominant aperture volume and the common aperture volume of each pollutant, introducing the dominant aperture correction coefficient into a Langmuir competitive adsorption model, and establishing a correction competitive adsorption model; dispersing an activated carbon adsorption box into grid units, calling a correction competitive adsorption model, performing iterative calculation on a time sequence according to the inlet concentration of each pollutant, Langmuir adsorption parameters and related parameters of an adsorbent, calculating the adsorption phase concentration and the adsorbate concentration of the position of each grid unit at different time, and calculating the adsorption phase concentration and the adsorbate concentration of the position of each grid unit; the three-dimensional distribution of the saturation degree of the activated carbon along with time is obtained. According to the invention, the spatial distribution prediction and evaluation of the saturation condition of adsorbing various pollutants in the activated carbon adsorption device at the same time can be realized.

The invention discloses a sediment heavy metal pollution analysis and evaluation method, and belongs to the technical field of environmental statistical modeling. The method comprises the following steps: acquiring physicochemical property indexes of sediments, and calculating the effective adsorption capacity of each component by utilizing a preset saturation response relationship; inputting the physicochemical indexes into a Bayesian network constructed through hierarchical mechanism constraint, and deducing the adsorption affinity latent variable of the heavy metal; constructing a competition mapping function containing a vacancy constant term based on a competition Langmuir mechanism, and calculating a capacity occupancy rate under a multi-metal competition condition; and finally, calculating a heavy metal content predicted value according to the effective adsorption capacity and the occupancy rate. According to the method, a physical capacity upper limit and a multi-metal competition occupation mechanism are introduced into the Bayesian network, so that the problems of prediction distortion and lack of a competition mechanism of a traditional model under high load are solved, and accurate evaluation conforming to physical and chemical laws is realized.

The application discloses a kind of nanometer thickness square acid MOF film and preparation method thereof, and preparation method includes: preparation cationic surfactant, square acid, sodium hydroxide, metal salt is dissolved in water respectively and is matched into 1mg / mL solution;Square acid MOF Langmuir film is assembled using Langmuir film instrument, and square acid MOF film is transferred to solid substrate using Langmuir-Blogget method, to obtain nanometer thickness square acid MOF film;The application is induced by cationic surfactant to interface aggregation of water-soluble negative square acid molecule, interface pressure is reasonably controlled using Langmuir film preparation technology, adjust the distance between surfactant and interface charge density, then control the interface density of square acid ligand molecule and film thickness induced by it, prepare film thickness 2nm, size is centimeter level, defectless MOF film material.

The invention relates to an intelligent prediction method for CO2 miscible flooding leading edge migration of an unconventional reservoir. The method comprises the steps that a CO2 miscible flooding leading edge migration prediction data set considering the type of the unconventional reservoir is established; the method comprises the following steps: establishing a CO2 mass transport equation considering an injection-production relationship, stress sensitivity and a starting pressure gradient on the basis of source-sink unit characterization of the dynamic injection-production relationship; constructing a convection diffusion equation considering a CO2-rock adsorption effect; constructing a CO2 miscible flooding front migration prediction model, and defining a CO2 miscible flooding front based on the prediction model; and introducing a pelican optimization algorithm to carry out fitting optimization on the permeability, the starting pressure gradient and the Langmuir adsorption constant, and dynamically optimizing the CO2 miscible flooding leading edge migration prediction model to realize intelligent prediction of CO2 miscible flooding leading edge migration. According to the method, the prediction of the leading edge migration in the process of improving the recovery efficiency by the CO2 miscible-phase flooding can be quantitatively and scientifically realized.

This invention discloses a method for preparing an ultrathin ordered macrocyclic molecular membrane. The method involves synthesizing macrocyclic molecules with high polymerization activity and amphiphilic guest molecules. The inclusion complexes formed by the macrocyclic molecules and guest molecules are orderedly assembled using Langmuir-Blodgett (LB) technology. Photopolymerization is then employed to achieve ordered cross-linking of the macrocyclic molecules, resulting in an ultrathin ordered macrocyclic molecular membrane. The macrocyclic molecular membrane prepared by this invention is monomolecular in thickness and possesses good mechanical strength. With the assisted orientation of the amphiphilic guest molecules, the macrocyclic molecules achieve ordered assembly at the water-air interface. The membrane preparation process proposed in this invention is simple, cost-effective, versatile, and easily scalable, making it significant for the field of high-performance separation membranes.

The present application relates to a kind of bismuth-based nanowires BSO NWs and its preparation method and its application in high-efficiency piezoelectric-optical synergistic catalytic hydrogen evolution.The BCSO NWs are synthesized by hydrothermal reaction, and are assembled into film using Langmuir-Blodgett (LB) technology.Compared with the non-chiral BSO NWs film, the chiral BSO NWs film has high piezoelectric catalytic hydrogen evolution activity, and a certain proportion of cobalt doping can further improve the hydrogen evolution activity.In addition, based on the chiral structure of BSO NWs film and BCSO NWs film, under the condition of light matching, i.e., left-handed film (LH-film) under left circularly polarized light (LCP) irradiation and right-handed film (RH-film) under right circularly polarized light (RCP) irradiation, the strongest piezoelectric-optical synergistic catalytic effect is shown, further improving the hydrogen evolution rate.

The invention provides a coal seam adsorbed gas content calculation method and system, and belongs to the field of oil-gas exploration and development. The method comprises the following steps: acquiring multiple reservoir core maceral data and experimental Langmuir parameters of a target area, and taking the reservoir core maceral data of which the correlation with the experimental Langmuir parameters reaches a preset correlation threshold as high-correlation maceral data; based on the high-correlation maceral data, constructing sensitive parameters of Langmuir parameters; performing regression processing on the sensitive parameters of the Langmuir parameters, and determining the corresponding Langmuir parameters; the corresponding Langmuir parameters are substituted into the improved Langmuir model to calculate the coal seam adsorbed gas content, and a coal seam adsorbed gas content calculation result is obtained; wherein the Langmuir model is improved on the basis of the content ratio data of the actual adsorbate in the core maceral data of all the reservoirs. The method and the system effectively improve the calculation precision of the coal seam adsorbed gas content.

The application discloses a coal seam gas pressure-content dynamic prediction method based on multi-source data fusion, relates to the technical field of coal seam gas prediction, and comprises the following steps: step S1, a sensor network is arranged in a downhole drilling and a mining influence area respectively, and physical field data is collected in real time and synchronously; step S2, a physical model is constructed based on Langmuir adsorption theory, and the basic content of adsorbed state gas in the coal seam is calculated; step S3, a joint correction equation fusing gas pressure and content is constructed to correct the content of adsorbed state gas in the coal seam; step S4, the corrected content of adsorbed state gas is superimposed with the content of free state gas monitored in real time, and the total content of coal seam gas is generated; and step S5, a mixed neural network model is constructed to predict a continuous curve of the coal seam gas pressure-content at a future time. The method provides a strong basis for coal seam area prediction, and further improves the efficiency of coal mining.

To provide a carbon dioxide adsorbent and a carbon dioxide separation method that have a high effective carbon dioxide adsorption capacity even when the carbon dioxide concentration in the mixed gas is low, when separating carbon dioxide from a mixed gas containing carbon dioxide. [Solution] A carbon dioxide adsorbent comprising a zeolite having a faujasite-type crystal structure, wherein 50% or more of the cations constituting the zeolite are alkali metal ions, the Si / Al ratio is 1.5 or higher, and the Langmuir-Freundlich equilibrium constant determined from the carbon dioxide adsorption isotherm at 25°C is greater than 0.05 (1 / kPa) and 0.3 (1 / kPa) or less.

This invention discloses a method for analyzing and evaluating heavy metal pollution in sediments, belonging to the field of environmental statistical modeling technology. The method includes: acquiring sediment physicochemical property indicators; calculating the effective adsorption capacity of each component using a preset saturation response relationship; inputting the physicochemical indicators into a Bayesian network constructed with hierarchical mechanism constraints to infer the latent variable of heavy metal adsorption affinity; constructing a competitive mapping function containing a vacancy constant term based on a competitive Langmuir mechanism to calculate the capacity occupancy rate under multi-metal competition conditions; and finally calculating the predicted heavy metal content from the effective adsorption capacity and occupancy rate. This invention introduces a physical capacity upper limit and a multi-metal competition occupancy mechanism into the Bayesian network, solving the problems of prediction distortion and lack of competition mechanism in traditional models under high loads, and achieving accurate evaluation consistent with physicochemical laws.

The present application provides a kind of coal seam gas content prediction method, it is related to coalbed gas exploration and development technical field.The present application includes the following steps: first, select coal sample, by vitrinite random reflectance automatic determination image analysis method, obtain the maximum vitrinite reflectance R o,max Then, isothermal gas adsorption experiment is carried out to each coal sample, and the Langmuir volume V L And Langmuir pressure P L According to the maximum vitrinite reflectance R o,max Sample is divided into anthracite sample group, bituminous sample group and sub-bituminous sample group according to coal rank;Finally, the calculation formula of coal seam gas content change with depth under different coal rank is established, and the actual gas emission of coal mine is used to test, realize the calculation of coal seam gas content change with depth, the present application is simple and convenient, low in cost, can obtain the coal seam gas content of different coal mines, has good application effect and wide applicability.

The application discloses a kind of deep coalbed methane well recovery factor determination methods.The method includes: obtaining the original formation pressure and PVT experimental data of coalbed methane well, establish the corresponding relationship table between pressure and deviation factor;Obtain the isothermal adsorption experimental data for deep coal rock, original adsorbed gas content experimental data and original free gas content experimental data;According to the isothermal adsorption experimental data of coal rock, determine the Langmuir pressure and Langmuir volume;Determine the abandoned formation pressure of coalbed methane well exploitation;Determine the deviation factor corresponding to original formation pressure and the deviation factor corresponding to abandoned formation pressure;Based on the above obtained original formation pressure, original adsorbed gas content and original free gas content, Langmuir pressure, abandoned formation pressure and the deviation factor corresponding to original formation pressure and the deviation factor corresponding to abandoned formation pressure determine the recovery factor of coalbed methane well.The present application method is simple, easy to understand, and has good popularization and use value.

The application discloses a kind of multi-component oxidant full-temperature-domain nuclear grade graphite oxidation kinetics analysis method and system, belong to nuclear energy engineering technical field.The application first establishes temperature partition theory system based on physical mechanism, according to the relative size of chemical reaction rate and oxidant diffusion rate, the graphite oxidation process is divided into chemical reaction control area, porous diffusion control area and boundary layer diffusion control area;Parallel computing instantaneous kinetic oxidation rate of graphite and oxygen reaction and instantaneous mass transfer limit oxidation rate based on Sherwood number, take the minimum value as the effective rate of oxygen oxidation;The oxidation rate of graphite and water vapor is calculated using Langmuir-Hinshelwood model;Coupling superposition two kinds of oxidation rates and time integration, obtain the total oxidation mass loss of graphite component in the whole process of accident.The application significantly improves the fidelity of high-temperature gas-cooled reactor accident analysis, and provides reliable technical support for reactor core structural integrity evaluation and safety source term analysis.

The application relates to a kind of unconventional reservoir CO2 mixed phase drive front migration intelligent prediction methods, it includes: build considering the CO2 mixed phase drive front migration prediction data set of unconventional reservoir type;Based on the source-sink unit representation of dynamic injection-production relationship, CO2 mass transport equation considering injection-production relationship, stress sensitivity and start-up pressure gradient is established;Convection-diffusion equation considering CO2-rock adsorption effect is constructed;CO2 mixed phase drive front migration prediction model is constructed, and CO2 mixed phase drive front is defined based on the prediction model;Peng Peng optimization algorithm is introduced to carry out fitting optimization to permeability, start-up pressure gradient, Langmuir adsorption constant, and dynamic optimization CO2 mixed phase drive front migration prediction model, the intelligent prediction of CO2 mixed phase drive front migration is realized.The application can quantitatively and scientifically realize the prediction of front migration in the process of CO2 mixed phase drive enhanced oil recovery.

The invention relates to the synthesis and characterization of a novel corrosion inhibitor, 1,3,5,7-tetrahexyl-1,3,5,7-tetraazaadamantane-1,3,5,7-tetraium bromide (TTB), used to reduce corrosion in highly concentrated acidic solutions, particularly in oil injection wells. The compound TTB was synthesized through the reaction of hexamine with hexyl bromide in ethanol, and its structure was confirmed using FTIR, 1H-NMR, and 13C-NMR spectroscopy The inhibitory effect of TTB on the corrosion of Low C1018 alloy coupons was demonstrated using gravimetric and polarization techniques in 6M hydrochloric acid at varying temperatures and concentrations. The highest inhibition efficiency was observed to be 97.5% at a temperature of 50 degrees Celsius and a TTB concentration of 200 ppm. The adsorption of TTB on the metal surface follows the Langmuir adsorption isotherm, indicating strong adsorption and a spontaneous, exothermic, and chemically adsorbed process. Further investigations were obtained through quantum chemical calculations and Monte Carlo simulations, which highlighted superior adsorption properties and protective capabilities of TTB compared to traditional inhibitors. These results demonstrate the potential of TTB as an effective corrosion inhibitor in industrial applications, particularly in the oil and gas sector.

The present invention proposes novel lipid and lipid-like nanoparticle (LNP and LiNP) formulations enhanced with surfactants having specific characteristics. These surfactants exhibit unique Langmuir isotherm characteristics, ensuring optimal stability of nanoparticles. The formulations improve stability, reduce aggregation, and mitigate challenges confronted during purification, such as filtration clogging or fouling. The innovation is essential to a method for determining the suitability of the surfactant as a stabilizer based on a predetermined Langmuir isotherm value and the filtration rate. When formulated with therapeutic agents, the stable nanoparticles have proven potential in medical applications, particularly in the fields of mRNA delivery, vaccination and immunization.

A method is disclosed of three-dimensional (3D) free-form printing for coating free-form objects, the method including: arranging a free-form object in a Langmuir-Blodgett (LB) trough filed with a liquid, the LB trough designed based on a shape of the free-form object; arranging an LB film comprising a plurality of colloidal nanospheres on a surface of the liquid within the LB trough; and draining the liquid from the LB trough to form a self-assemble film of the colloidal nanoparticles on a surface of the free-form object.

The invention discloses an accurate regulation and control method and system for chemical components of TC4 return scrap EB + VAR duplex smelting cast ingots, belongs to the technical field of titanium alloy precision metallurgy, and constructs a set of intelligent closed-loop process system. The method comprises the core steps that firstly, the temperature of a molten pool is calculated on line based on EB furnace heat balance and serves as core input, and a model is established according to the Langmuir law to predict the volatilization rate of the Al element in real time; secondly, the Al compensation amount is dynamically calculated according to the prediction result, meanwhile, the feeding process is stabilized by optimizing the charging density and stabilizing the feeding process of the return scrap and the compensation aluminum material in a blank pressing or laminating mode, the fluctuation of the smelting speed is controlled within + / -5%, and an EB cast ingot with preliminarily uniform components is prepared; and finally, the EB cast ingot is subjected to VAR remelting, and ultimate homogenization is achieved through the electromagnetic stirring and directional solidification effects of the EB cast ingot. According to the cast ingot obtained through the method, the deviation of the total-length Al element content is stably controlled within + / -0.4%, and the component uniformity, the batch stability and the return scrap utilization rate are remarkably improved.

The application provides a heat treatment water hydration shale porosity prediction method based on energy theory, comprising: carrying out rock uniaxial or triaxial compression test on target shale under different heat treatment temperature and hydration time conditions, obtaining full stress-strain curve, and calculating total energy of external load input through integration; based on the first law of thermodynamics, the total energy of the external load input into the target shale is decomposed into releasable elastic strain energy and irreversible dissipation energy; the adsorption behavior of clay minerals of the target shale in the hydration process is quantified as the pore surface area by using the Langmuir isothermal adsorption theory; based on the fact that the pore surface area increment generated by hydration adsorption and the pore surface area increment generated by thermal stress cracking jointly constitute the total increment of the internal pore surface area of shale, and combining the geometric correlation between the pore surface area and the pore volume, the heat treatment water hydration shale porosity is predicted. The method provides a quantitative basis for shale gas reservoir evaluation, fracturing temperature optimization and wellbore stability evaluation.

To provide a carbon dioxide adsorbent and a carbon dioxide separation method that have a high effective carbon dioxide adsorption capacity even under the influence of heat and endothermic effects generated during carbon dioxide adsorption and desorption when separating carbon dioxide from a mixed gas containing carbon dioxide. [Solution] A carbon dioxide adsorbent comprising a zeolite having a faujasite-type crystal structure, wherein 70% or more of the cations constituting the zeolite are lithium ions, the Si / Al ratio is 1.5 or higher, and the difference in the Langmuir-Freundlich equilibrium constant (1 / kPa) obtained from the carbon dioxide adsorption isotherm at 0°C and the carbon dioxide adsorption isotherm at 50°C is 0.3 or less.

The present application relates to the technical field of ion source detection, and particularly relates to an ion source detection device and a detection method, aiming to solve the problem of probe interference detection accuracy of the existing detection device.The ion source detection device provided by the present application comprises a radial movement assembly, an axial movement assembly and Langmuir probes; a plurality of Langmuir probes are installed on the radial movement assembly and are annularly and uniformly distributed around the axis of the ion beam, and the radial movement assembly is installed on the axial movement assembly; the axial movement assembly is used to drive the radial movement assembly to move along the axial direction, and the radial movement assembly is used to drive the Langmuir probes to move along the radial direction to approach or move away from the axis of the ion beam.The present application ensures comprehensive detection of the ion beam through the annular array of Langmuir probes, and moving the annular array of Langmuir probes to different positions for detection through the axial movement assembly can avoid mutual interference of the Langmuir probes arranged along the length direction of the ion beam, thereby avoiding the problem of probe interference detection accuracy.

This invention discloses a microwave-calcined layered bimetallic oxide, its preparation method, and its application. The preparation method includes: using magnesium-aluminum layered bimetallic hydroxide as raw material, microwave calcining at 450℃~550℃ for 0.5~2 hours in an inert atmosphere to obtain the material. The specific surface area of ​​the material is 15m² / g~25m² / g, the pore volume is 0.10cm³ / g~0.16cm³ / g, and the average pore diameter is 25nm~35nm. The X-ray diffraction pattern retains the 003 crystal plane diffraction peak and shows magnesium oxide and aluminum oxide. The material exhibits broadened peaks; the vibrational peaks of hydroxyl and carbonate ions in the infrared spectrum are weakened and redshifted; it can be used to adsorb pentavalent arsenic in water with an adsorption capacity of not less than 170 mg / g, conforming to pseudo-second-order kinetics and the Langmuir model; it can also be used for in-situ solidification of arsenic in tailings, and the addition of 1wt% to 10wt% can effectively reduce the leaching toxicity of arsenic and the content of weakly acid-extractable states; this invention also provides a method for predicting the long-term solidification effect based on the DoseResp model; the material of this invention is simple to prepare, low in cost, and has both adsorption and solidification functions.

This invention relates to a method for determining the gas loss content in coalbed methane, comprising the following steps: S1, using the USBM linear regression method to preliminarily calculate the gas loss (Q) of the sample. L0 S2. Preliminary calculation of the critical desorption pressure (P) using the Langmuir formula. cd0 S3, Correct for lost time; S4, Correct for lost gas volume; S5, Repeat steps S2-S4 until the last corrected lost gas volume (Q) is reached. LN ) and its previous corrected loss volume (Q) LN‑1 The difference is within a preset range, where N > i, i ≥ 1. By introducing a critical desorption pressure to correct for gas loss, the amount of gas lost in coalbed methane can be measured more accurately, reducing errors caused by overestimation of loss time. This method is simple to operate, applicable to various drilling circulation media conditions, and can significantly improve the accuracy of coalbed methane content measurement, providing more reliable data support for coalbed methane resource assessment and exploitation plan development.

The application discloses a lithium battery nickel-cobalt-manganese ternary precursor impurity removal method and system, concentration data output by a plurality of sensor arrays is acquired, the concentration data is input into a support vector machine model f(x)=∑alpha i y i K(x i , x) + b to perform component complexity level prediction; if the predicted complexity level exceeds a preset threshold, a random forest algorithm is triggered to calculate membrane separation parameters; when heavy metal ion concentration exceeds a preset threshold, a high-pressure reverse osmosis membrane assembly is started and a pressure valve is adjusted to control the transmembrane pressure difference Delta P=P1-P2, concentrated liquid and permeate liquid are generated; ion selective electrodes are used to detect the residual heavy metal concentration of the permeate liquid, a neural network is used to optimize the Langmuir constant K1 of the resin adsorption column, the equilibrium adsorption capacity q e is calculated according to q e =K1C e / (1+K1C e ), and purified water and saturated resin are output. The application significantly improves the efficiency and effect of complex water body treatment.