61results about How to "Achieve accurate quantification" patented technology

The invention relates to the technical field of image processing, and discloses a device and a method for recognizing longitudinal tearing of a mining conveying belt, which are used for improving the accuracy of recognizing the longitudinal tearing of the mining conveying belt. The device comprises: an acquisition module performing structured light projection and image acquisition to obtain original image data; the extraction module performs preprocessing and contour line extraction on the original image data to obtain geometric feature information; the generation module performs feature point analysis and stress distribution analysis on the geometric feature information to generate dynamic change features and a stress distribution diagram; the fusion module carries out fusion analysis on the sensing data set to obtain conveyor belt tearing risk evaluation data; the analysis module performs tearing probability distribution analysis based on a multi-modal neural network on the conveyor belt tearing risk evaluation data to obtain tearing identification probability distribution data; and the early warning module performs early warning information analysis according to the tear identification probability distribution data to obtain target early warning information, and performs real-time early warning according to the target early warning information.

The invention relates to the technical field of data synchronization, and discloses a distributed account book remote data synchronization method and system, and the method comprises the steps: carrying out the Hash mapping calculation of all nodes of a distributed account book system, and obtaining a distributed storage architecture; performing hierarchical network construction on the nodes, and setting an inter-region remote synchronization link and an intra-region local synchronization link to obtain a double-layer communication architecture; performing parallel compression coding, digital signature generation, transmission scheduling arrangement and consistency verification processing on the data blocks to obtain a node synchronous data set; calculating a correlation coefficient of node processing delay and network transmission delay to obtain a synchronous delay analysis model; based on a data block corresponding to the synchronous delay analysis model, adding a time sequence identifier and calculating an integrity check code, and generating a synchronous reliability guarantee mechanism; according to the method, the consistency and the traceability of the distributed account book data are ensured.

The invention discloses a high-resolution mass spectrometry detection method for chromatography co-outflow of 2, 4-dimethylphenol and 2, 6-dimethylphenol and application, and relates to the technical field of environmental detection.The method comprises the steps that according to the petroleum content range in a sample, a corresponding sample pretreatment process is selected to prepare a sample; the method comprises the following steps: under an acetonitrile-5-8.0 mmol / L ammonia water mobile phase system, detecting and collecting primary mass spectrum full scanning (MS1) and selective ion secondary mass spectrum (MS2) data of a standard sequence sample, a conversion factor calibration sample and a sample by utilizing LC-HRMS (Liquid Chromatography-High Resolution Mass Spectrometry); according to MS1 data, standard concentrations of co-effluent components 2, 4-dimethylphenol and 2, 6-dimethylphenol and concentrations of other 11 phenols and alkyl substituted phenols are calculated; according to the MS2 data, the concentration of 2, 4-dimethylphenol is calculated; and according to the MS1 data, calculating a conversion factor of the co-effluent component, and further calculating the concentration of 2, 6-dimethylphenol. The detection limit of the method is lower than 1.0 microgram / L, and the sensitivity of the method is 1-2 orders of magnitude higher than that of a standard HJ744-2015 (derivatization-GC-MS method) phenolic compound testing method.

The invention discloses a financial data storage and query system, and relates to the technical field of electric digital data processing. The financial data storage and query system comprises a delay influence evaluation module, a data accessibility evaluation module and a data transmission security evaluation module. According to the invention, the delay influence value is obtained in the first preset time period and whether data accessibility evaluation is carried out is judged, and then the financial data accessibility evaluation value is obtained in the second preset time period and whether access adjustment is carried out is judged; and finally, obtaining the financial data secure transmission evaluation value in the third preset time period and judging whether secure transmission adjustment is performed or not, so that the effect of improving the timeliness in the financial data storage and query process is achieved, and the problem of low timeliness in the financial data storage and query process in the prior art is solved.

The invention discloses a packaging product full-breadth quality detection method and device combining deep learning and an image processing technology, and computer equipment, and the method comprises the steps: combining a delta E color difference quantification method in a CIELAB color space with an improved YOLOv5s network detection model, and carrying out the precise quantification of the color difference of the surface of a packaging product, and carrying out the full-breadth defect detection; the colors of the packaged products are finely compared in a CIELAB color space through a delta E calculation formula, and the color difference is effectively quantified; according to the improved YOLOv5s network detection model, firstly, a lightweight EMO is used to form a backbone network, and an inverted residual moving block is used to compress model parameters on the basis of not losing detection precision; secondly, the neck network fuses feature mapping of different scales by using an improved TFE module, so that the omission factor of small targets is reduced; and finally, the design of combining an SCP structure and a decoupling head is adopted, so that the detection precision is further improved, and full-breadth defect detection on the surface of the packaging product is realized.

The invention provides a mass spectrum quantitative imaging method based on a digital standard substance, and belongs to the technical field of analytical chemistry and digital models, and the method comprises the following steps: taking gelatin as a matrix material developed by the standard substance, obtaining an element grouping mode and the concentration of each element under each linear gradient, and adopting a freezing slicing method or a micro-droplet printing method to obtain a standard substance; a gelatin element physical standard substance is obtained; based on the concentration of each element, establishing a sensitivity difference response library according to an element grouping mode, performing uncertainty evaluation, constructing a digital model, and integrating man-machine interaction preset software to form a digital quantitative imaging platform of the laser ablation inductively coupled plasma mass spectrometer; acquiring a gelatin element physical standard substance of a sample to be detected, and performing mass spectrum quantitative biological imaging analysis to obtain an imaging result; the invention solves the problems that the existing mass spectrum quantitative imaging method is difficult to realize multi-target accurate quantification in one-time analysis and is difficult to prepare a standard substance meeting multi-target analysis.

The invention relates to the field of hoisting, in particular to a multi-device collaborative hoisting safety scheduling system based on the Internet of Things. Surface point cloud data and wind direction data of a hoisted object are acquired through a data acquisition module; the cutting construction module constructs a three-dimensional model based on the point cloud data and constructs a fluid control group in combination with a hoisting movement velocity vector and a current wind direction, and the fluid analysis module constructs a plurality of morphological observation surfaces to cut local parts to form contours and extracts fluid interference characteristics to obtain interference characteristic values so as to analyze interference tendency; and the scheduling control module analyzes the hoisting path section in a strong interference tendency section by section to identify a risk local path section and controls the hoisting equipment to adopt a deceleration scheduling strategy. According to the method, quantitative evaluation and adaptive adjustment of the dynamic influence of the outdoor complex wind environment on the hoisted object in the hoisting operation are realized, and the safety and scheduling accuracy of multi-equipment cooperative hoisting are improved.

The application discloses a user charging and changing behavior multi-dimensional feature space-time quantification method considering cross-domain factors, relies on user travel law, charging and changing service level, power grid price level, traffic network data, and meteorological factors of the place, and objectively quantifies the charging behavior of the user. In the method, not only the influence of the user charging behavior on the surrounding road traffic is proposed, the blank in the field is made up, but also the influence of the charging behavior on the area is fully considered, the traditional single evaluation dimension is transcended, the basic ability construction of vehicle-road-network coordination optimization can be better supported, the scientificity and precision of charging and changing infrastructure planning are improved, the user behavior modeling theory is enriched, and cross-domain technology integration is promoted.

The invention relates to the technical field of oral cavity imaging, and discloses a method for applying a dual-energy technology to oral cavity panoramic imaging, which comprises the following steps of: dual-energy panoramic projection data acquisition: acquiring a high-low-energy panoramic narrow-edge projection drawing by utilizing technologies such as area array filtering, high-pressure fast switching or multi-layer flat plate; performing panoramic projection domain substance decomposition: decomposing the high and low energy projection to obtain a target base substance density integrogram; variable center finite angle reconstruction: reconstructing a base material density integral image to generate a corresponding panoramic base image; and application extension: generating various clinical related images according to the panoramic base image. The invention further provides a panoramic imaging device based on dual energy. According to the invention, the expressive force of the panoramic image can be improved, and more application scenes can be expanded.

The application is particularly applied to a security risk dynamic evaluation and early warning system for information integrated monitoring, relates to the technical field of information security and industrial internet monitoring, and comprises a disaster energy capture and transient conversion module, a threshold triggering module, a terminal signal generation and emission module and a gradient heat insulation and anti-destroying protection module.In the application, the plug-in protocol adaptation and space-time synchronization alignment technology can access monitoring data and business system data of multiple types and multiple protocols without distinction, break the information barrier between different systems, provide a comprehensive, accurate and space-time unified data basis for risk evaluation, avoid risk omissions caused by one-sided data, and at the same time, build a hierarchical dynamic risk evaluation system, realize accurate quantification of risks and evolution trend prediction through adaptive weight adjustment and risk dynamic deduction.

This invention relates to the field of power system fault quantification technology, and discloses a method, system, equipment, and medium for quantifying distribution network line faults under typhoon weather. It calculates the wind-induced fault rate of distribution network lines by constructing a wind field correction model that incorporates micro-topography correction factors and wind direction-line angle correction factors. With the goal of minimizing power outage losses in the distribution network, a coupled influence model of transmission network faults on the distribution network line fault rate is constructed and solved to obtain the optimal load shedding amount for each load node in the distribution network and its corresponding operational constraint boundary. Under this boundary, the random process of load shedding allocation and load transfer of faulty lines within the distribution network is simulated using a double Monte Carlo sampling method, and the probability of line cascading faults caused by transmission-distribution coupling is calculated based on the simulation results. The combined time-varying fault rate and type of distribution network lines are determined by integrating the two fault rates, achieving accurate quantification of distribution network line faults under the influence of transmission-distribution coupling.

The application provides a design method of an adaptive milling cutter with adjustable curvature, and relates to the technical field of cutter design and manufacturing. The application defines a cutter radius and a fillet radius, constructs a transition curve from a peripheral edge part to an end edge bottom part through a Bezier curve, establishes a cutter rectangular coordinate system, determines a Bezier curve parameter equation based on control point coordinates, calculates a curvature and a change rate, and then finds a control parameter combination that makes a target function value maximum by discretizing the control point coordinates, calculating the target function value and optimizing and solving, so as to realize accurate regulation and control of the cutter curvature, optimize a blade edge geometric shape, and improve the adaptability and cutting performance of the cutter under complex machining conditions.

The invention relates to the technical field of agricultural machinery, in particular to a biological bacterial fertilizer and seed same-hole precision sowing device which comprises a seed box, a seed sowing device, a seed input pipe, a collecting bin, a bacterial fertilizer box, a fertilizer discharger, a fertilizer conveying hose, a bacterial fertilizer input pipe, a distribution bin, a discharge pipe and a controller. A discharging port of the seed box is communicated with a feeding port of the seed metering device, a discharging port of the seed metering device is communicated with a feeding port of the seed input pipe, the seed input pipe is installed at the upper end of the collecting bin, a discharging port of the bacterial fertilizer box is communicated with a feeding port of the fertilizer feeding device, and a discharging port of the fertilizer feeding device is communicated with a feeding port of the fertilizer conveying hose. A discharging opening of the fertilizer conveying hose communicates with a feeding opening of the bacterial fertilizer input pipe, the bacterial fertilizer input pipe is installed at the upper end of the collecting bin, and a feeding opening is formed in the upper end of the collecting bin; the problems that after an existing mechanical seed and fertilizer same-hole seeder works for a long time, due to abrasion of a chain or a belt, the seed and fertilizer synchronism is poor, the use amount of biological bacterial fertilizer cannot be accurately controlled, and waste is caused are solved.

This invention provides a three-trailer collaborative aircraft transfer method and system based on multi-sensor fusion. This invention relates to the field of aircraft ground support technology, specifically to a three-trailer collaborative aircraft transfer method based on multi-sensor fusion, applicable to short-haul aircraft ground transport to hangars. Through multi-sensor data fusion and multi-trailer collaborative control, it improves transfer accuracy, safety, and efficiency. The method specifically includes the following steps: system setup and sensor calibration; trailer attitude initialization and collaborative parameter configuration; real-time acquisition and preprocessing of multi-sensor data; multi-sensor data fusion and state estimation; dynamic path planning based on fused data; attitude error quantification and calibration based on complex statistics; multi-trailer collaborative driving control and traction distribution; real-time environmental monitoring and risk warning; precise docking at the hangar entrance and attitude fine-tuning; and parking and system review and optimization.

The application discloses an intelligent health monitoring system based on electroencephalogram signals, and relates to the technical field of intelligent medical treatment, comprising the following steps: constructing a user personalized neural baseline model through small sample calibration and meta-learning; carrying out daily monitoring based on the model, and dynamically updating the model by using an online Bayesian algorithm to track long-term physiological drift of the individual; when significant neural baseline drift is detected, automatically matching and triggering intervention measures; constructing an anti-fact causal inference model to quantify the net effect of the intervention measures on the neural baseline; generating a personalized health insight report based on the net effect; and driving the iterative evolution of the neural baseline model through reinforcement learning by using closed-loop data containing drift, intervention measures and net effect, so that the application realizes intelligent health management with long-term self-adaptation, accurate quantitative intervention effect and self-evolution ability.

The application relates to the field of aerospace manufacturing technology and provides a floating airship propeller static balance debugging device and a debugging method.The device comprises a supporting base (100), an unbalance amount collecting module (200) and a positioning module (300), the unbalance amount collecting module (200) comprises a propeller mounting base (210) and a plurality of weighing sensors (220), the positioning module (300) comprises a main positioning assembly (310) and an auxiliary positioning assembly (320), the main positioning assembly (310) comprises a motor (311) and a first linear laser emitter (312), and the auxiliary positioning assembly (320) comprises a distance measuring track (321), a second linear laser emitter (322), a third linear laser emitter (323) and a distance measuring laser emitter (324). The application solves the defects that the unbalance amount cannot be quantified, the debugging efficiency and precision are low due to repeated trial and error depending on manual experience in the prior art.

This invention relates to the field of bid document management technology, and in particular to an automatic bid document review method and system based on natural language processing. The method includes: identifying target sections; determining historical performance and financial information; judging whether false performance exists; analyzing the complete sentences containing target keywords; calculating material scores; determining price deviation; and determining the review result. This invention achieves multi-dimensional and comprehensive review of bid documents by intelligently analyzing multiple sections such as qualifications, risks, materials, and pricing. This effectively improves the comprehensiveness and depth of the review. Utilizing natural language processing technology, it can accurately identify and extract key information from bid documents, overcoming the subjectivity and limitations of traditional manual review. Quantitative assessment based on risk level significantly improves the accuracy and relevance of risk identification. By comprehensively weighing material scores and price deviation, it significantly improves review efficiency.

The invention provides a composite fluorescence coding method for a biomarker and application of the composite fluorescence coding method. A composite fluorescent coding method for a biomarker comprises the following steps: a composite structure formed by connecting tetrahedral DNA frames with the same side length in series is used as a coding carrier, one of the tetrahedral DNA frames is used for loading fluorescent coding dyes with different colors to realize the distinguishing of different biological targets, and the other tetrahedral DNA frame is used for loading fluorescent coding dyes with different colors; the other tetrahedral DNA framework is used for loading quantitative dye and a recognition probe, so that quantitative analysis of the biological target is realized. Single chains respectively extend out of the same sides of the tetrahedral DNA framework, and are connected in series and assembled according to a base complementary pairing principle to obtain the coding vector. According to the invention, a composite structure formed by series connection of TDF is used as the coding vector, so that the problems of biotoxicity, easy degradation by nuclease and the like of a traditional inorganic material and a two-dimensional DNA nano-material are solved, and long-term structural stability of the coding vector in living cells is realized.

The present application provides a method for constructing an energy characterization model and a sea and air unmanned system, which is applied to a sea and air unmanned system, and the sea and air unmanned system includes at least one unmanned device, and the method includes: obtaining an initial map of the target area where the target task is located and a motion model of the sea and air unmanned system; when each unmanned device performs the target task in the target area, obtaining the internal working condition data, environmental data and external working condition data of each unmanned device; updating the initial map according to the internal working condition data, environmental data, external working condition data and motion model of each unmanned device to obtain an environmental energy map; constructing a Gaussian distribution energy field according to the external working condition data; fusing the environmental energy map and the Gaussian distribution energy field to obtain an energy characterization model of the sea and air unmanned system. In this way, the energy characterization model is constructed in combination with the environmental energy map and the Gaussian distribution energy field, and the accurate quantification of the energy consumption of the sea and air unmanned system is achieved.

The application discloses a ginseng supply chain optimization management method and system, relates to the technical field of supply chain optimization management, and brings significant benefits to the ginseng supply chain through the construction of a data-driven closed-loop optimization system, realizes accurate quantification and dynamic optimization of the value of ginseng, and directly improves economic benefits: based on a quality value dynamic mapping model, high-value sources and high-end markets can be accurately matched to realize high quality and high price; through double-layer collaborative optimization decision-making, resources are globally deployed under the quality constraint, warehouse loss and ineffective logistics are greatly reduced, and the overall net income of the supply chain is improved; at the same time, the whole-chain data fusion and state prediction realize the change from 'experience management' to 'accurate prediction', and the ability to respond to market fluctuations is enhanced; the final execution feedback mechanism ensures that the model continuously optimizes itself, forms a virtuous cycle of getting smarter and smarter, and comprehensively improves the resilience, transparency and core competitiveness of the supply chain.

The application discloses a method for efficiently preparing abalone tetraploid, which comprises the following steps: synchronously fertilizing the ovum of abalone triploid and the sperm of normal diploid to obtain inter-fertility hybridization fertilized eggs; starting timing and synchronously measuring water temperature after fertilization, and recording the first polar body discharge time of the fertilized egg as B and the second polar body discharge time as C; based on the A, B and C, calculating the processing time point (C-B) / 4 and the processing duration (6B-A) / 2, and performing the first polar body discharge inhibition processing under the same fertilization environment. After the processing, the fertilized eggs are resuspended in fresh sand filtered seawater, and are conventionally incubated and cultivated. The application introduces the fertilization water temperature and the embryonic development biology node as quantitative indexes, eliminates the applicable limitations of a single experience threshold in different environments, and can stably and efficiently obtain abalone tetraploid fry, thereby providing a reliable tetraploid parent source for large-scale production of abalone full triploid.

The invention relates to the technical field of chemical detection, in particular to an atmospheric particulate oxidation potential detection method and system.The detection method comprises the steps that reaction liquid obtained by mixed incubation of a probe molecule solution and an atmospheric particulate solution is injected into a photoelectrochemical micro-fluidic chip of a three-electrode system; and substituting the obtained photocurrent response value into a pre-established standard curve to obtain an equivalent value of the oxidizing component in the reaction liquid, thereby realizing the detection of the oxidation potential of the atmospheric particulates. A photoelectrochemical micro-fluidic chip is formed by combining a photoelectrochemical sensor and a micro-fluidic system, and an efficient analysis system is constructed. According to the present invention, the specific reaction between the oxidizing component in the atmospheric particulate matter and the probe molecule is adopted to cause the consumption of the probe molecule or the generation of the reactant so as to cause the quantitative change of the photocurrent signal, such that the atmospheric particulate matter oxidation potential is indirectly represented by detecting the consumption of the probe molecule; the interference of a complex matrix on direct detection is effectively avoided.

The invention discloses a method and system for dynamically returning, supplementing and restoring electric quantity data and a medium, and relates to the technical field of electrical measurement, and the method comprises the steps: building the direct connection between an electric power medium station and a first data source end and a second data source end; introducing a bidirectional asymmetric return and compensation protocol, deploying a return and compensation decision maker in a power grid middle station, performing data interaction with the first data source end and the second data source end, executing a return and compensation decision under a double-end decision, and determining electric quantity return and compensation restoration data; and according to the electric quantity returning, supplementing and restoring data, executing returning, supplementing and restoring management of power grid electric power measurement. According to the invention, the technical problems of bidirectional metering deviation and poor accuracy and adaptability of back-and-compensation processing caused by the fact that the existing electric quantity back-and-compensation method cannot effectively deal with electric energy quality fluctuation and metering information loss are solved; the technical effects of accurate quantification and responsibility division of two types of metering deviations and improvement of the accuracy and adaptability of return and supplement processing are achieved.

The application relates to the technical field of industrial control system security, and discloses an industrial control system abnormal intrusion detection method and system based on behavior analysis. The method first collects multi-source data of equipment operation, network interaction and operation behavior, and carries out cleaning and standardization pretreatment. Then, in a set time window, the peak deviation degree and the change rate abnormality degree of equipment parameters are calculated, the frequency and the message size deviation degree of network communication flow are calculated, the frequency and the sequence logic abnormality degree of operation behavior are calculated, and the three behavior abnormality indexes of equipment, network and operation are formed by weighted fusion. Finally, whether abnormal intrusion exists is determined by directly comparing the indexes with the early warning threshold or calculating the cosine similarity of the characteristic vector and the standard vector formed by the indexes. The application realizes accurate quantification and fusion perception of multi-level and multi-dimensional abnormal behaviors of the industrial control system, and effectively improves the detection capability of complex attacks.

The application discloses a kind of based on user balance flow distribution with maximum toughness as target damaged road network recovery order optimization method, to solve the problem of low efficiency, decision lacks scientific basis after disaster traffic network recovery.The method comprises the following implementation steps: first, construct damaged road network toughness evaluation framework, in combination with traffic network topological structure and flow demand, define toughness index as the reciprocal of recovery time and total travel time product;Second, establish damaged road network toughness optimization scene parameter, abstract road network into connected graph and define recovery scheme set;Then, construct the mixed integer linear programming model with maximum toughness as target, convert nonlinear problem into linear problem by cutting line approximation, and set flow balance, travel demand and other constraint conditions;Finally, the model is globally optimized and solved using high-performance solver, to generate the best recovery scheme.The method of the application can scientifically quantify road network toughness and optimize recovery order, avoid the blindness of experience decision, quickly improve the traffic efficiency of post-disaster traffic system, provide efficient and scientific decision support for post-disaster traffic recovery, and have important practical application value.

The application provides a kind of active penetration depth testing device and method of penetration crystalline waterproof material, belongs to penetration testing technical field, the active penetration depth testing device of penetration crystalline waterproof material, comprising: installation cabinet, driving part, water injection equipment, gas pressurizing device, placing piece and sealing cover, the raw material control sample and experimental test sample are placed in corresponding placing groove in the application respectively, the sealing cover is precisely attached with placing piece using driving part, and independent sealing environment of each station is constructed with sealing groove and sealing strip, then water or gas is injected into groove by water injection equipment or gas pressurizing device to implement pressurized penetration, so that the accurate quantification and nondestructive testing of waterproof material penetration depth are realized without destructive cutting sample, which fundamentally avoids irreversible damage to sample caused by traditional testing means.

The invention discloses an indoor intelligent exhibition appliance digital twinborn management system based on big data driving, and the system comprises a behavior obtaining module which is used for deploying a multi-source heterogeneous sensing device to collect the moving track and interactive behavior original data of an exhibition viewer, and obtaining the behavior event log data of each exhibition appliance through data cleaning fusion and spatial correlation analysis; the behavior analysis module is used for converting the behavior event log data into analog load time sequence data by utilizing an exhibition appliance digital prototype based on the behavior event log data, training a physical information neural network according to the analog load time sequence data, and reasoning an exhibition appliance hidden physical state vector; and the preventive maintenance module is used for performing feature discretization and mutual information filtering on the hidden physical state vector of the exhibition appliance, constructing an optimized decision tree model fusing information gain and coefficient double splitting criteria to obtain a preventive maintenance work order, and realizing closed-loop digital twinborn management of the indoor exhibition appliance.

The invention relates to a preparation method and application of a nervonic acid polyclonal antibody. When the prepared nervonic acid polyclonal antibody is used for detecting nervonic acid of an animal body, an instrument analysis method which is high in equipment dependence and complex in operation is abandoned, a rapid detection system based on competitive ELISA is constructed, and accurate quantification of nervonic acid in a sample is achieved by optimizing antibody coating concentration, enzyme-labeled antigen dilution proportion, reaction time and closing conditions. A reaction system is systematically optimized, so that the detection limit is reduced to 3.113 mu g / mL, and the within-batch precision is CV% lt; 6%, inter-batch CV% lt; the cross reaction rate with six common fatty acids is 0%, the detection performance is remarkably improved, and the clinical diagnosis and scientific research requirements are met.

The invention relates to the technical field of agricultural intelligent monitoring, and discloses a method for detecting a multi-layer composite high-strength anti-aging agricultural mulching film, and the method comprises the steps: carrying out the high-frequency noise suppression and edge preservation smoothing of a mulching film image, and obtaining a smooth image; generating a degraded area mask based on the color distribution characteristics and morphological processing; calculating a roughness degree score in combination with the standard texture value; fusing the roughness and color data to perform clustering mapping to obtain a comprehensive aging map; calculating an intensity reduction proportion according to the aging map, and calculating a recovery risk and a pollution level in combination with edge fragmentation characteristics to obtain a final aging quantification index; and inputting the index into a neural network model for deviation calibration to obtain a target aging detection result. According to the invention, accurate quantification of the aging degree of the mulching film and scientific evaluation of the pollution risk in a complex environment are realized.

This application relates to the technical field of bioassay, specifically disclosing a combined detection kit for pepsinogen I and pepsinogen II and its application. The disclosed combined detection kit for pepsinogen I and pepsinogen II includes: a sample pad, a conjugate pad, a coating membrane, and an absorbent pad; the coating membrane is an NC membrane coated with antibody; the conjugate pad is prepared by pretreating and drying a fiber membrane, followed by spraying time-resolved fluorescent microspheres labeled with antibody; the pretreating solution is a solution of pH 8.0-8.4 + 8-12mM BS + 0.8-1.2% BSA + 0.8-1.2% PEG4000 + 0.02-0.03% surfactant + 4-6% sucrose. Using the detection kit and method provided in this application for the combined detection of pepsinogen I / pepsinogen II exhibits high sensitivity, accuracy, and repeatability.