1236 results about "Multiple component" patented technology

The invention belongs to the crossing field of environmental engineering and hydrology and hydrodynamics, and particularly relates to a traceability method based on coupling hydrodynamics and a pollutant degradation equation, which comprises the following steps: firstly, acquiring and preprocessing multi-source heterogeneous monitoring data, then selecting a one-dimensional Saint-Venant equation or a two-dimensional shallow water equation according to a water body form to solve a hydrodynamic field, and finally, determining the hydrodynamic field. A multi-component convection-diffusion-reaction equation is coupled to simulate pollutant migration and transformation; an LSTM module is introduced to identify suspected pollution events, pollution source parameters are inverted through a two-channel framework of PDE constraint optimization and Bayesian inference, uncertainty is quantified, model parameters are updated online in combination with data assimilation, and finally the uncertainty is quantified and verified. The method considers traceability precision, efficiency and compliance, supports multiple water bodies and multiple data sources, and is suitable for complex water body pollution traceability.

The invention discloses a home page multi-component parallel prefetching and rendering first screen acceleration method and device and a storage medium, and the method comprises the following steps: constructing a global dependency relationship model based on the metadata and dependency relationship of each component of a home page, and calculating the priority for each component according to a predefined priority evaluation strategy, generating a component scheduling sequence constrained by the priority and the dependency relationship; controlling a concurrency control strategy of the component; preferentially rendering a visual placeholder structure, and smoothly replacing the real content to a user visible area through a progressive rendering replacement strategy; when the variable quantity of the component data exceeds a preset threshold value, triggering an increment updating strategy based on the difference content; generating a cache identifier according to component granularity, reading and writing data in a multi-level cache structure based on the cache identifier, and ensuring data consistency by adopting a background asynchronous verification strategy; and collecting performance indexes in a page rendering process, and adjusting the priority evaluation strategy, the concurrency control strategy and the increment updating strategy according to the performance indexes.

A software package is received and unpacked into multiple components comprising plural functions. Each function is lifted from machine code into static single-assignment intermediate representation and tokenized to produce semantics-preserving embeddings. Intermediate-representation data-flow features are extracted, including detection of constant static variables on a stack, stack reaching definitions, uninitialized variables, and intra-procedural aliases. For each component, the embeddings and features are input to a machine-learning model trained on semantic properties derived from a corpus of software packages to generate a software supply chain risk level. Data characterizing the risk level is provided to a consuming application. When the risk level satisfies a remediation criterion, a remediation action is initiated, including generation of a source-code patch recommendation for an identified root-cause function, insertion of a runtime guard into the component, or issuance of a security advisory for distribution to a security operations dashboard.

The invention provides a pourable tumor organoid vascularization model and a construction method thereof, and relates to the technical field of organoid culture. A temperature-sensitive degradable material and a photo-crosslinking modified temperature-sensitive material are used, the composite stent is printed through two channels, a multi-component gel mask partition curing process is combined, the stability of a perfusion pipeline is improved, and a partitioned highly-bionic complex microenvironment is accurately constructed in a macroscopic three-dimensional space; and constructing to obtain the perfusion tumor organ vascularization model. The model is high in bionic degree and stable in structure, can be applied to deepening cell and microenvironment interaction research and tumor-related drug screening, and has a good application prospect.

The invention relates to the technical field of gas detection, and provides a multi-component gas detection method and system.The method comprises the steps that an MEMS-MOS gas sensor array is designed to be composed of a plurality of miniature gas sensing units; each temperature control loop is used for controlling each micro gas sensing unit to maintain the working temperature aiming at the target gas, so that each micro gas sensing unit generates differentiated and complementary dynamic resistance response signals in a mixed gas environment; collecting the resistance change of each micro gas sensing unit in the gas exposure process in real time, and generating a multi-channel digital time sequence data flow; reconstructing the multi-channel digital time sequence data stream into a two-dimensional matrix of channel number * time step; and inputting the two-dimensional matrix into a trained lightweight convolutional neural network model, and outputting gas types and corresponding concentration values contained in the mixed gas. According to the invention, rapid and accurate detection of multi-component gas can be realized in a complex environment, and the sensor has the characteristics of high sensitivity, low power consumption, suitability for portable deployment and the like.

The invention relates to the technical field of medium phase state determination, in particular to a PVT analyzer and method suitable for multi-component fluid medium phase state determination, and the PVT analyzer comprises a determination assembly, a test cylinder, a balance cylinder, a pressurization cylinder, a gas distribution pipeline, a first driving mechanism and a second driving mechanism. The structure is reasonable and compact, combination of gas with various components can be achieved through the multiple gas cylinders and the gas distribution pipeline, mixing of the gas according to the set ratio can be achieved by adjusting the gas distribution valve, the multiple gas cylinders can inject the gas into a rodless cavity of the pressurization air cylinder through the gas distribution valve and the gas distribution pipeline, and the gas injection efficiency is improved. The second driving mechanism drives the piston rod of the pressurizing air cylinder to continuously input gas in the rodless cavity of the pressurizing air cylinder into the rodless cavity of the balance air cylinder through the pressurizing pipeline and the one-way valve, so that the pressure of the rodless cavity of the balance air cylinder can be increased; and the precise gas distribution and gas pre-pressurization functions of multi-component gas can be realized.

The invention discloses a multi-component catalyst active site prediction system and method fused with quantum embedding, and relates to the technical field of catalysis and material informatics, and the system comprises a structure and site enumeration module which generates candidate sites; the adaptive quantum embedding calculation module obtains key reaction microcosmic parameters; the unified site fingerprint and feature engineering module constructs and fuses standard site fingerprints; the physical consistency machine learning module predicts adsorption energy and other parameters and uncertainty thereof; the active learning and sample selection module selects a high-value sample optimization model; the microdynamics evaluation module calculates index values such as activity; and the multi-objective optimization and sorting module generates an optimization sorting list. According to the method, the unification of calculation precision and efficiency is realized, the problem of non-unification of locus characterization is solved, the model interpretability and extrapolation reliability are improved, and the comprehensive evaluation and optimization sorting of multi-target performance are completed.

A digital twin service of a provider network allows a user to build high fidelity models (“digital twins”) for components and for systems of multiple components. For a given component, the digital twin service receives, from a user, identification of interactions for the component (e.g., inputs / outputs at the boundary), identification of data sources at the system (e.g., sensor that stream data), and / or a definition of behavior of the component (e.g., one or more behavior functions to simulate the component). The digital twin service builds a digital twin model of the component based at least on the interactions, the data sources, and the behavior. The digital twin service may also receive, from the user, an indication to bind one or more outputs of the digital twin model to one or more inputs of at least another of the digital twin models to build a digital twin model of the system.

The invention relates to a polycarboxylate superplasticizer compounding production line. The production line comprises an intelligent raw material pretreatment unit, a multi-component precise proportioning unit, a gradient temperature control compounding reaction unit, an online quality monitoring feedback unit and a finished product self-adaptive filling unit which are connected in sequence. The multi-component precise proportioning unit is internally provided with a dynamic proportioning adjusting system, and the feeding amount can be corrected according to the solid content deviation of raw materials and the target fluidity; the gradient temperature control compound reaction unit realizes temperature and speed coordinated regulation and control through a sectional temperature control module and a stirring speed linkage device; and the online quality monitoring feedback unit forms closed-loop control with the above two units by means of a near infrared spectrum detection module. The invention aims to solve the problem that the existing production line lacks the dynamic ratio adjustment of the actual solid content deviation of the raw material and the target fluidity, the reaction stage temperature control and stirring rate cooperative regulation and control and the online detection closed-loop control; therefore, the problems of low proportioning precision, poor reaction process controllability and large performance fluctuation of the water reducing agent are solved.

The invention relates to the technical field of thermal insulation materials, in particular to an aerogel felt and a preparation method thereof.The aerogel felt is composed of a composite fiber base material and multi-component aerogel loaded in the composite fiber base material, the composite fiber base material comprises 65%-75% of alkali-free glass fibers, 15%-20% of modified polyimide fibers, 4%-6% of nanoscale carbon fibers and 8%-12% of basalt fibers, and the multi-component aerogel is loaded in the composite fiber base material. According to the multi-component aerogel, 78%-82% of tetraethoxysilane, 12%-14% of methyltrimethoxysilane, 4%-6% of dimethyldimethoxysilane and 2%-4% of vinyltrimethoxysilane serve as precursors, 1.5%-2.5% of aluminum oxide, 0.8%-1.5% of titanium oxide nanoparticles and 3%-4% of zinc borate are added, a multi-stage reinforced structure is formed, the mechanical property and flexibility of the aerogel felt are remarkably improved, the tensile strength reaches 400 kPa or above, and the tensile strength reaches 400 kPa or above. The flexibility is excellent.

The invention discloses a UV curing adhesive for coating a low-refractive-index optical fiber and a processing method thereof, belongs to the technical field of adhesive preparation, and is used for solving the technical problem that the refractive index and the damp-heat resistance of the UV curing adhesive for coating the optical fiber in the prior art need to be further improved. The preparation method comprises the following steps: introducing a low-refractive-index hybrid siloxane prepolymer, a multi-component interface bonding prepolymer and a modified branched polyester prepolymer into a system together, and constructing a compact and uniform organic-inorganic three-dimensional network in a curing process by utilizing silica condensation, interface chemical bonding and a flexible chain segment cross-linking reaction, the low-refractive-index hybrid siloxane prepolymer endows a film layer with a stable refractive index, the multi-component interface bonding prepolymer enhances the binding force of a base material, the modified branched polyester prepolymer improves stress buffering and toughness, and the obtained cured film is low in refractive index, firm in interface bonding and small in mass change in a humid and hot environment and shows excellent optical stability and long-term reliability.

This invention provides a multifunctional gradient composite filament for 3D printing, its preparation method, and its applications, relating to the field of additive manufacturing materials technology. The filament's cross-section includes at least two structurally or functionally distinguishable regions, each region composed of a thermoplastic polymer with different chemical properties, or a thermoplastic polymer matrix with the same chemical properties but different functional modifications. These at least two regions are arranged in an ordered spatial pattern on the filament's cross-section using a multi-component co-extrusion technique, enabling pre-design and integration of properties. This invention overcomes the inherent limitations of traditional single-material filaments, achieving multifunctionality and performance designability of a single filament. It significantly improves the interlayer bonding performance of multi-component 3D printing and the comprehensive mechanical properties of the printed composite material. Furthermore, it allows for the production of components with both functional gradients and high mechanical properties in a single printhead operation, making it suitable for mass production.

The invention relates to a precise separation and online detection integrated system for a multi-component complex system, and belongs to the technical field of analysis and detection. The system comprises an intelligent preprocessing and component sensing unit, a self-adaptive precise separation unit, a multi-modal cooperative detection unit, a zero dead volume-intelligent adaptive interface unit and a multi-algorithm fusion intelligent control and data analysis unit, and the five units form a closed-loop cooperative architecture through real-time data interaction. The system adopts a preprocessing-sensing integrated design, a multi-mode switching type separation architecture, a dynamic intelligent chromatographic column, a four-channel collaborative detection system and multi-algorithm fusion regulation. According to the invention, the problems of separation and detection disjunction, narrow adaptability, weak matrix interference suppression capability, low intelligent degree, poor portability and the like in the prior art are effectively solved, and one-time sample injection accurate separation and high-accuracy detection of trace target components with wide polarity range and similar structures can be realized.

The invention discloses a polymer electrolyte composite material for a high-temperature-resistant solid-state battery and a preparation method of the polymer electrolyte composite material, and belongs to the technical field of solid-state battery materials. The preparation method comprises the following steps: preparation of key functional components, preparation of a precursor solution, dispersion and compounding of the filler, film casting and heat treatment, and post-treatment. A dynamic thioether bond is introduced into a main chain to construct an oxygen-sulfur synergistic coordination network, and a multi-component interface chemical bonding and gradient curing process is combined, so that the problems that the ionic conductivity and the mechanical strength of the traditional polymer electrolyte cannot be considered at a high temperature, the filler is easy to agglomerate, the membrane has many defects and the like are solved; the obtained material still keeps high ionic conductivity and excellent mechanical stability at 150 DEG C, has a wide electrochemical window, and is suitable for high-safety and high-energy-density solid-state batteries.

An injection molding apparatus for producing a plastics molding comprising a first component, a second component, and a third component comprises a first mold plate having at least 3 first mold nests, and a second mold plate having at least 3 second mold nests. In the closed state, the mold plates cooperate in the production of the plastics mold. In the opened state, the second mold plate is rotatable relative to the first mold plate. The at least 3 second mold nests comprise, in a case A), at least two second mold nests for injection molding the first component, and at least one second mold nest for injection molding the third component, or, in a case B), at least two second mold nests for injection molding the second component, and at least one second mold nest for injection molding the first component.

The present application relates to the technical field of kitchen air conditioner detection, and particularly relates to a cooking oil fume generating device and a generating method based on multi-modal fusion, which comprises: a multi-component oil fume generation simulation module, a multi-modal data acquisition module and an AI decision engine module. The present application can precisely reproduce the oil fume components generated by five cooking methods by means of accurate simulation and reproduction, and can precisely reproduce the transient oil fume characteristics of five Chinese cooking methods, namely, frying, frying, frying, stewing and stir-frying, to provide reliable oil fume gas for oil fume purification equipment such as kitchen air conditioners, range hoods, kitchen air purifiers and the like; a multi-modal fusion mechanism is adopted, an AI model of an improved CNN convolutional neural network model is used to monitor parameters such as the temperature, humidity and particle size distribution of oil fume gas in real time, has the ability to respond to environmental disturbances in real time, can automatically adjust PID control parameters according to external environmental changes, ensures the stability of the generated oil fume gas, and improves the identification precision of small smoke particles.

The embodiment of the invention provides a connecting layer, a composite layer, a solar cell and a laminated cell. The connecting layer comprises a first transparent conductive layer and a hole transport layer which are stacked; and the hole transport layer is an alloy film containing Ga, Al, In, Sn, O and N elements. Component regulation and control are carried out on the hole transport layer, P-type doping is realized by utilizing a co-doping strategy, the hole concentration of a traditional tin oxide material layer is improved, long wavelength absorption is not remarkably increased, and in addition, multi-component doping can also avoid that a single component is easy to separate out and split phases.

The invention relates to the technical field of rubber conveying belts, and discloses a high-temperature-resistant flame-retardant chlorinated polyvinyl chloride plastic conveying belt. The conveyor belt aims at solving the problems that an existing rubber-based conveyor belt is poor in thermal stability, low in flame retardant efficiency and rapid in mechanical property attenuation in a high-temperature, open fire or thermal radiation environment. The tensile body is composed of an upper covering layer, a lower covering layer and a tensile body core layer. The covering layer is formed by blending and extruding chlorinated polyvinyl chloride resin, a heat stabilizer, a flame retardant synergist, a smoke suppressant, a plasticizer, a lubricant and an inorganic filler; and the core layer is formed by compounding and hot-pressing plasma-treated aramid fabric and chlorinated polyvinyl chloride dipping slurry. Through multi-component collaborative design, the conveyor belt keeps structural integrity and mechanical properties under long-term thermal exposure at 200 DEG C, the limit oxygen index is larger than or equal to 38% and reaches the UL94 V-0 level, and the conveyor belt is free of molten drops, low in smoke and low in toxicity, can be subjected to continuous thermoplastic forming and does not need vulcanization.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit an indication of a number of resource signals that the UE is capable of receiving via multiple component carriers during a time period, the number of resource signals based at least in part on a reference slot of a reference component carrier of the multiple component carriers. The UE may receive a configuration for measuring resource signals based at least in part on transmission of the indication. Numerous other aspects are described.

The invention relates to the technical field of material compositing, and discloses a polyurethane composite insulation board with a good flame retardant effect, which comprises the steps of fireproof surface layer pretreatment, flame retardant core layer preparation, reinforced substrate layer treatment, lamination molding and post-treatment, by designing a unique three-layer composite structure and adopting a multi-component synergistic flame retardant system, the flame retardant effect is good, and the flame retardant effect is good. The heat insulation board can form a multi-stage flame-retardant barrier when encountering high temperature and open fire, the flame spreading speed is slowed down, the overall fireproof safety of the material is improved, and the durability and stability of the flame-retardant effect are enhanced through the synergistic effect of all the functional layers; through surface modification treatment on the functional reinforcing phase, the interface bonding force between the functional reinforcing phase and a polyurethane matrix is improved, so that the flame retardant and the reinforcing phase are uniformly dispersed in the matrix, and the performance defect caused by agglomeration is avoided, thereby enhancing the mechanical strength and structural integrity of the material while keeping excellent thermal insulation performance.

The invention discloses a preparation method and application of a sodium-ion battery negative electrode material, and belongs to the technical field of sodium-ion batteries. According to the method, SnO2 / Sn of a three-dimensional ordered macroporous structure is adopted as a framework, a SnO2 / Sn sodium storage active substance is combined with a ZIF-8 derivative material, a nitrogen-doped porous carbon loaded zinc oxide (ZnO-NC) composite structure is generated in situ in the SnO2 / Sn macroporous framework through calcination, and the 3DOM ZnO-NC-SnO2 / Sn is obtained. According to the preparation method, a multi-component and multi-scale synergistic effect is realized, and the specific capacity, the rate capability and the cycling stability of the sodium-ion battery negative electrode material are remarkably improved.

The invention discloses a preparation method of a high-stability photoresponse covalent organic framework membrane and application of the high-stability photoresponse covalent organic framework membrane in selective separation of multiple components. 4-azido azobenzene is prepared by carrying out azido reaction on 4-aminoazobenzene in an acidic aqueous solution, and then a BPTA-TAPB-COF membrane is used as a matrix to prepare the high-stability photoresponse covalent organic framework membrane. 4-azido azobenzene is efficiently grafted to the pore wall of the BPTA-TAPB-COF membrane through a click chemical reaction, the photoresponse covalent organic framework membrane is constructed, and the covalent organic framework membrane can be used for multi-component selective separation and is suitable for multi-component systems with different sizes. The azobenzene group in the pore channel of the prepared Azo-COF membrane is subjected to reversible cis-trans isomerization under the irradiation of ultraviolet / visible light, the response speed is high, and the cycle performance is good; the Azo-COF membrane has good application in the light-operated nanofiltration process, the performance of the Azo-COF membrane is not reduced after the Azo-COF membrane is continuously recycled for 12 days, and the structure of the Azo-COF membrane is kept stable.

The invention relates to the technical field of grinding fluid, in particular to wafer polishing fluid containing graphene nanosheets and a preparation process of the wafer polishing fluid. A graphene modified abrasive; an oxidant; a complexing agent; a metal corrosion inhibitor; a pH adjusting agent; a dispersion stabilizer; an interface modifier; a defect repairing agent; a corrosion inhibition synergist; a wettability modifier; an anti-agglomeration agent; and deionized water. Through introduction of the graphene modified abrasive and multi-component collaborative design, the graphene modified abrasive polishing solution has high polishing efficiency, low corrosion rate and excellent dispersion stability, compared with a traditional polishing solution, the Cu / Co corrosion rate is reduced by 60% or above, the copper surface roughness Ra is smaller than or equal to 0.5 nm, polished wafers do not have obvious micro-scratches, and the lubricating property and the mechanical grinding property of graphene nanosheets are coordinated, so that the mechanical polishing effect is good. The copper / cobalt removal rate ratio is stabilized at 1: 1 + / -0.1, and the defects of dished pits and corrosion pits are effectively avoided.

The invention discloses a multi-component magnesium refractory aggregate using copper slag flotation tailings as raw materials and a preparation method thereof, the multi-component magnesium refractory aggregate is obtained by using copper slag flotation tailings powder, light-burned MgO powder, magnesite powder and alpha-Al2O3 powder as raw materials through compression molding and calcination. The preparation method comprises the following steps: mixing the copper slag flotation tailing powder, the light-burned MgO powder, the magnesite powder and the alpha-Al2O3 powder in a mixer to obtain mixed powder; adding a binding agent solution into the mixed powder, and performing mechanical pressing to obtain a green body; and heating the formed green body to 950-1150 DEG C, preserving heat for 4-6 hours, finally heating to 1480-1580 DEG C, preserving heat for 4-6 hours, cooling, crushing, and screening to obtain the multi-component magnesium refractory aggregate. According to the method, the copper slag flotation tailing powder is used as the raw material, resource utilization of the copper slag flotation tailings is achieved, and the obtained multi-component magnesium refractory aggregate is suitable for a cement rotary kiln.

The invention discloses a preparation method of an aerogel laminated composite heat insulation pad, and relates to the technical field of aerogel heat insulation pads, and the preparation method comprises the following steps: mixing and dispersing a silane precursor and absolute ethyl alcohol, adding a basic catalyst, hydrolyzing to generate sol, and aging to form prefabricated sol; adding a flame retardant, a smoke retardant and reinforced fibers, dispersing and gelatinizing, and carrying out supercritical drying to obtain an aerogel block; and coating basalt fiber non-woven fabric with the aerogel slurry to form a base layer, laminating a plurality of layers, and carrying out hot-pressing curing, cooling, post-curing, cutting and edge covering to obtain the composite heat insulation pad. According to the invention, by optimizing the ratio of silane and a drying process, the pore structure and the thermal stability of the aerogel are obviously improved; the flame-retardant, mechanical and heat-insulating properties are improved through multi-component collaborative design, and the obtained heat-insulating pad has the characteristics of low heat conductivity, high strength, excellent flame retardance and light weight, and is suitable for multiple heat-insulating and flame-retardant fields.

The invention discloses an engineering vehicle 3D assembly and attitude simulation method based on a basic part model, and relates to the technical field of engineering vehicle 3D modeling, and the method comprises the following steps: carrying out standardized basic module splitting on an engineering vehicle, selecting module combination assembly parameters according to needs, assembling into a virtual model, collecting the three-dimensional coordinates of the key part of a field vehicle, and calculating the three-dimensional coordinates of the key part of the field vehicle; resolving a virtual model attitude and mapping the virtual model attitude to a point cloud scene to form a simulation platform; and finally, setting a plurality of working conditions on the platform, simulating part actions, posture changes and collaborative processes, analyzing the feasibility of working schemes of each working condition, and realizing vehicle assembly according to basic parts and precise restoration of a site space structure for posture simulation. The technical problems of low working scheme generation efficiency and insufficient simulation precision caused by limitation of multi-component combination and complex sites during assembly and attitude simulation of the engineering vehicle are effectively solved.

The invention discloses a filler ratio optimization modeling method for removing tire particle dissolved substances in a rainwater system, and the method comprises the steps: carrying out the structural processing of obtained parameters, and constructing a structural parameter set; calling a mechanism library and a medium fingerprint library, processing data by adopting a mechanism constraint neural network (PINN), and generating a multi-component dissolution spectrum; the method comprises the following steps: describing migration and removal processes of pollutants in a packed bed layer through a one-dimensional convection-dispersion-reaction bed layer model, treating a competitive effect among the pollutants by adopting a multi-component competitive adsorption model, and outputting a dynamic penetration curve, a removal rate and pressure drop data of the pollutants; then carrying out multi-objective optimization and robustness analysis to obtain an optimal filler combination structure and operating parameters; and finally, outputting and visualizing a result. According to the method, the multi-component competition effect can be accurately quantified, filler proportion optimization modeling is carried out on the basis, the limitation of the prior art can be overcome, and the reliability, economical efficiency and environmental safety of treatment facility design are improved.

The utility model belongs to the technical field of machining tools, particularly relates to an inner chip removal deep hole drill for machining a multi-hole workpiece, and aims to solve the problems that cuttings are extremely easy to accumulate in holes due to large cuttings generated in the machining process of the conventional device, and the problem of unsmooth chip removal is more prominent especially when holes with larger depths are machined. In order to solve the problems that in the prior art, abrasion of a drill bit is aggravated, meanwhile, the drill bit is heated, and machining quality is affected, according to the scheme, the drill bit comprises a drill bit body, and a drill tip is fixed to one end of the drill bit body; the drill bit has the advantages that the chip dividing grooves, the chip guiding grooves and the chip discharging grooves are continuously matched, chips are divided and are helped to flow into the chip discharging channels, the chips are effectively prevented from being accumulated in holes, machining continuity is guaranteed, cooling media reach a cutting area through multiple components, the drill bit is continuously cooled and prevented from being overheated and abraded, the chips can be efficiently scoured through impact force of the drill bit, and the service life of the drill bit is prolonged. And the chip removal efficiency is greatly improved, the risk that the hole wall is scratched by cuttings is reduced, and the machining precision and the surface quality are ensured.

The invention provides a grain multi-group decoupling prediction method, a modeling method, equipment and a storage medium. The modeling method comprises the following steps: providing a training database; extracting a feature library; training a secondary loop model, and outputting a first component prediction result; training a main loop model; and iteratively training the secondary loop model and the main loop model to obtain a grain multi-group decoupling prediction model. The method not only corrects a spectral reflection value, but also constructs a closed-loop prediction mechanism based on a first component state, dynamically screens wavebands, establishes an internal and external double-closed-loop cascade architecture of a main loop and an auxiliary loop, continuously adjusts parameters and updates a feature library, thereby realizing systematic suppression of interference signals and enhancement of intrinsic features of a second component. An interpretable feature screening mechanism is introduced, the importance of each wave band is evaluated in real time, the combination of a data-driven model and spectral physical prior is realized, and the problem that the generalization performance is reduced due to the fact that the model depends on shortcut features in the training process is avoided.