107results about How to "Reliable results" patented technology

The invention discloses a tight-lock coupler intelligent tensile testing machine and a testing method thereof, and belongs to the technical field of tight-lock coupler test.The tight-lock coupler intelligent tensile testing machine comprises a mounting bottom plate and an electric control cabinet, and a support for supporting a tight-lock coupler to be detected is mounted on the surface of the mounting bottom plate; a tensile connecting frame for connecting the tight-lock coupler is mounted on the surface of the bottom plate on one side of the support, an integrated design of'tensile force detection and visual detection 'is innovatively adopted, mechanical parameter acquisition and visual deformation observation are combined, traditional mechanical data such as tensile force and displacement are obtained, and visual characteristics such as fine deformation and crack initiation are captured; precise synchronization of pulling force application, displacement collection and camera shooting is achieved through the synchronous controller, the real-time corresponding relation of pulling force-displacement-visual deformation is established, the problems that an existing device is single in detection dimension and poor in data relevance are solved, and the potential quality hazard checking capacity and the persuasion of a detection result are improved.

The invention discloses an unmanned aerial vehicle signal detection and identification method based on spectrum feature enhancement. The method comprises the following steps: firstly, carrying out time-frequency transformation on a received signal to obtain an original time-frequency graph; performing learning enhancement on the degenerated time-frequency graph by adopting a coding-decoding type deep neural network, and realizing noise suppression and structure recovery by combining pixel reconstruction, structural similarity and a texture perception loss function; and finally, performing target area detection and positioning on the enhanced time-frequency graph, directly outputting a structured result containing a time-frequency range, a category and confidence, and completing conversion from a frequency spectrum to a linkable engineering target. According to the unmanned aerial vehicle signal detection and recognition method based on spectrum feature enhancement, a spectrum feature enhancement mechanism is introduced before traditional spectrum analysis and feature recognition processing, and region-level detection and judgment are executed under the enhanced spectrum constraint condition; reliable discovery, positioning and identification of an unmanned aerial vehicle control link and an image transmission link in a complex electromagnetic environment are realized.

The invention relates to a port toughness optimization method and system based on a traffic network and power grid coupling model. The method comprises the steps of obtaining system configuration and structure parameters of a traffic network and a power grid of a port; calculating the container throughput of the port in the initial state before an extreme event occurs in the port; after an extreme event occurs in the port, according to the traffic network and power grid coupling model, gradually calculating the operation state of a coupling network formed by the traffic network and the power grid at each moment, and calculating the container throughput of the port in the lowest state; after the port is repaired, a recovery strategy is obtained step by step according to the traffic network and power grid coupling model so as to repair the port, and the container throughput reaching a stable state after the port is recovered is obtained; and according to the container throughput of the port in the initial state, the lowest state and the stable state, calculating a port toughness index so as to carry out port configuration optimization. Compared with the prior art, the method realizes accurate and complete quantitative evaluation and optimization of port toughness.

The invention provides a parameterization calculation method for a top cover modal and a pitch diameter of a water turbine, and belongs to the technical field of hydraulic mechanical structure dynamics and simulation automation. The method comprises the steps of parameter input, parametric modeling, automatic simulation control, pitch diameter identification and analysis and result output: after a parameter set is input, constructing a parametric modeling module based on Python and ANSYS Spaceclaim, and automatically generating a three-dimensional geometric model containing a basic panel, a rib plate and a connecting hole; an automatic simulation control module is constructed based on Python and ANSYS Workbench, and full-process automatic simulation is completed to obtain a modal analysis result; pitch diameter characteristic parameters are automatically recognized through a least square discrete Fourier transform algorithm of non-equiangular sampling and confidence degree judgment; and outputting results to form a standardized database. According to the method, automation and quantification of the whole process are achieved, modeling and simulation efficiency is improved, manual misjudgment is avoided, the method is suitable for different types of water turbine top covers, and reliable data support is provided for structural optimization and resonance risk assessment.

This invention provides a gene related to loquat flowering. SVP1 This invention relates to the field of molecular biology, specifically to a tightly linked SNP marker and its applications. The nucleotide sequence of this SNP marker is shown in SEQ ID NO.1. A genotype of C at the locus corresponds to a spring-flowering phenotype in loquat, while a genotype of G corresponds to an autumn-flowering phenotype. The invention also provides specific primers (SEQ ID NO.2 and SEQ ID NO.3) for detecting this SNP marker, a kit containing these primers, and a screening method for detecting loquat flowering time using this marker. By extracting loquat DNA and performing PCR amplification and sequencing analysis, the flowering period of loquat can be quickly and accurately determined. The SNP marker of this invention is highly linked to loquat flowering time, providing an effective tool for marker-assisted selection breeding of loquat at different flowering periods. This significantly improves breeding efficiency, shortens the breeding cycle, and is of great significance for extending the loquat fruit supply period and optimizing the industrial structure.

The present application relates to the field of bioengineering technology, and more particularly to the application of the amt gene and mutant strain M107 in expressing siderophore of nitrogen-fixing bacteria. The present application uses Tn5 transposition technology to construct a mutant library, and selects mutant strain M107 with significantly improved siderophore synthesis capacity compared with wild strain GXGL-4A. The insertion site of the mutant strain M107 is the aminomethyltransferase gene amt. Through CAS plate detection and relative content determination of siderophore, it is confirmed that the target mutant strain M107 has significantly improved siderophore yield compared with the wild strain, and the bacterial growth is not affected; the growth promotion experiment on cucumber shows that the obtained high-yield siderophore mutant strain has a significant growth promotion effect on cucumber. Compared with the prior art, the present application significantly improves the siderophore yield of the nitrogen-fixing bacteria by mutating the amt gene of the nitrogen-fixing bacteria, and the obtained mutant strain can be used as a plant growth promoting bacteria, which maintains the nitrogen fixation activity while increasing the absorption of iron in the soil.

This invention discloses a rapid prediction method for rail rolling contact fatigue damage in the field of rail damage prediction technology. The method includes establishing a three-dimensional elastoplastic wheel-rail cyclic rolling contact finite element model, improving the cyclic plastic constitutive model, and simulating the stress-strain evolution of the rail. A rail stress-strain sample library is generated through parametric sampling and batch calculation. A Physically Constrained Generative Adversarial Network (PC-GAN) is constructed, embedding physical constraints such as contact force conservation and energy consistency into the loss function to achieve rapid and high-precision mapping from operating parameters to the stress-strain field. Based on the PC-AN prediction results, cumulative damage and fatigue life are calculated using an incremental multiaxial fatigue damage model, and a damage distribution map of the entire rail line is drawn, identifying high-risk sections. This invention deeply integrates physical modeling with intelligent algorithms, achieving an order-of-magnitude improvement in rail fatigue damage assessment efficiency while ensuring prediction accuracy, providing efficient and reliable technical support for rail life assessment and maintenance decisions across the entire rail line.

The invention discloses a corn ZmMORF3 gene, an excellent haplotype of the corn ZmMORF3 gene and application of the corn ZmMORF3 gene in grain development regulation and molecular breeding. A key gene ZmMORF3 which affects mitochondrial gene RNA editing is cloned by using a grain mutant m497 found in a corn field breeding line selection process, and the gene encodes MORF protein and regulates assembly and activity of a mitochondrial compound I, so that corn grain development is affected; the excellent allelic variation genotype of the ZmMORF3 gene in the aspect of the row grain number is further excavated, and the row grain number can be increased by utilizing the ZmMORF3 gene, so that the yield is increased. In addition, distribution and utilization potentials of different haplotypes in a selfing line are researched, and technical support and excellent germplasm resources are provided for utilization of the gene.

The invention belongs to the technical field of power system power distribution network fault identification, and relates to a power distribution network fault identification method capable of adapting to different illumination environments. Comprising the steps of equipment setting, data acquisition, scene adaptation preprocessing, multi-dimensional feature extraction, cross-modal collaborative fusion, adaptive classification and model parameter optimization. The method provided by the invention is high in illumination adaptability, more flexible in data fusion, high and stable in classification accuracy and reliable in result.

The application discloses a magnesium alloy inorganic coating adhesion test method and relates to the technical field of surface performance test. The method comprises the following steps: tape sticking: covering a tear tape on the surface of the inorganic coating of a magnesium alloy sample to be tested, and extending one end of the tear tape to form a tear section; sample positioning: fixing the magnesium alloy sample to be tested, so that the surface of the inorganic coating forms an angle of 90 degrees plus or minus 2 degrees with the direction of gravity of the magnesium alloy sample to be tested; dynamic peeling: applying a transient impact load to the tear tape through the tear section, so that the tear tape falls off and the inorganic coating is partially peeled off; and adhesion calculation: based on the percentage of the residual area of the inorganic coating, the adhesion value of the inorganic coating of the magnesium alloy sample to be tested is obtained through a pre-established corresponding relationship model between the percentage of the residual area of the inorganic coating and the adhesion value tested by the pull-out method. The application can realize instant quantification of the adhesion, the result is reliable, and the method can directly guide process adjustment and quality control on the production site.

The present application provides a ginseng quality nondestructive evaluation method based on hyperspectral and X-ray technology, belongs to the field of spectral analysis technology, and comprises the following steps: collecting information of a complete ginseng sample by using hyperspectral and X-ray technology, and integrating complementary information from the two devices by a modeling method of ensemble learning. The present application provides a fast, nondestructive and accurate ginseng quality evaluation method, and solves the problems of low accuracy of experience identification analysis, complex and time-consuming pretreatment of wet chemical analysis method, and difficulty in adapting to batch rapid detection due to sample crushing treatment of near-infrared spectral analysis technology.

A kind of ship shafting automatic centering correction system, first laser displacement sensor group being arranged between the output flange of ship main engine and intermediate shaft, second laser displacement sensor group being arranged between intermediate shaft and tail shaft, multiple degrees of freedom hydraulic adjusting actuator being respectively installed on main engine pedestal and tail shaft support, data acquisition module being signal connected with first laser displacement sensor group and second laser displacement sensor group, central processing unit being communication connected with data acquisition module, and drive control module being connected with central processing unit control signal output end.This application adopts two groups of laser ranging probe arranged along circumference, respectively arranged in the connecting area of main engine output flange to intermediate shaft and intermediate shaft to tail shaft, covers the interface of propelling shafting from space, through synchronous trigger unit and main shaft speed encoder hard line connection, eliminates false misjudgment caused by different sampling phase.

The application discloses a method, system, chip, device and computer readable storage medium for rapidly identifying the producing area of Amomum villosum and evaluating the quality of Amomum villosum based on an electronic nose and an electronic tongue, and belongs to the technical field of traditional Chinese medicine identification. The technical problems to be solved are low detection efficiency and high cost of the existing Amomum villosum identification method. The technical solution points are as follows: a method for rapidly identifying the producing area of Amomum villosum and evaluating the quality of Amomum villosum based on an electronic nose and an electronic tongue, which comprises the following steps: electronic nose test sample preparation and electronic tongue test sample preparation; an electronic nose system adopts a direct headspace air suction method to collect signals of the electronic nose test sample; an electronic tongue system collects signals of the electronic tongue test sample; average values of response values are extracted to form an odor characteristic vector; data analysis and producing area identification / quality evaluation are performed according to the fusion characteristic vector, and finally, model application is performed.

This invention discloses a method for quantitatively detecting muscle inositol in blood. It employs an electrochemical method and specifically includes the following steps: a) preparation of a series of standard working solutions; b) preparation of a blank sample solution; c) plotting a standard curve using differential pulse voltammetry (DPV) with the blank sample solution and the series of standard working solutions; d) preparation of the test sample solution; e) determination of the muscle inositol content in the test sample. Experiments have demonstrated that the method of this invention yields accurate and reliable results and can be used for clinical blood testing.

The invention discloses a starting pressure gradient-based oil reservoir differential use and strata series recombination optimization method, which comprises the following steps of: collecting a rock core, and carrying out a starting pressure gradient experiment; cleaning the test data, and removing abnormal values in the data set; starting pressure gradient and permeability data standardization; establishing a characterization model of the starting pressure gradient and the permeability; establishing a multilayer heterogeneous oil reservoir single-layer liquid production capacity model considering the starting pressure gradient; judging whether each oil layer of the target well can be effectively used or not; establishing a strata series recombination chart considering the starting pressure gradient; and based on the strata series recombination chart, carrying out strata series recombination and the like. According to the method, the matching relation between the maximum permeability and the minimum permeability which can be effectively utilized under different pressure difference conditions can be determined, more small layers can be started under the same production pressure difference condition of the same set of layer series, the reservoir which can be started under the same production pressure difference serves as one set of layer series, effective utilization of the small layers in the longitudinal direction is achieved through layer series recombination, and the stability of the reservoir is improved. And the water drive development effect is improved.

This invention provides a method for detecting AAV antibody titers, belonging to the field of biomedical technology, comprising: S1 preparing serum-free AAV vectors with different MOI values; preparing a mixture containing different volumes of test serum samples and AAV vectors with known MOI values ​​for co-incubation; S2: adding plasmids containing the CRISPR-Cas9 gene editing system to electroporation buffer, performing electroporation on a known number of cells, adding the serum-free AAV vectors and mixture from step S1 to the electroporated cells respectively, and detecting the expression efficiency of the reporter gene after electroporation; S3: calculating the AAV antibody titer in the test serum sample based on the detection results. The main advantage of this invention is that it can display AAV antibody titers digitally and quantitatively, facilitating understanding and communication, and obtaining stable and reliable results using different cell lines and different AAV transduction doses. This method is easy to standardize and validate, saving time, effort, and detection costs compared to traditional methods, and directly reflects antibody neutralizing activity.

This invention provides a residual-temperature assisted multi-heat-source synergistic modulation welding device and method, relating to the fields of laser welding and friction stir welding, aiming to solve the problems of easy forming defects and performance degradation in welding aluminum-lithium alloys. The device outputs a composite heat source through a laser-arc composite heat source system to melt the welding wire and stabilize the molten pool with deep penetration on the front side of the workpiece; a motion system controls the movement of the friction stir heating system; a residual-temperature-airflow synergistic auxiliary temperature control system dynamically adjusts the temperature of the solid phase region of the molten pool; a monitoring and sensing system collects physical field modal data in real time and uploads it to the control system; a flexible tooling system is used to clamp the workpiece with variable curvature; the friction stir heating system applies dynamic shearing and mechanical upsetting forces in the residual high-temperature region on the back side, effectively improving defects such as back-side collapse and burn-through in the weld of the workpiece with variable curvature. The residual-temperature assisted multi-heat-source synergistic modulation welding method is applied to the residual-temperature assisted multi-heat-source synergistic modulation welding device.

This application provides a method and system for predicting the fatigue performance of composite materials based on infrared thermal imaging, belonging to the field of material mechanical property testing technology. The method includes determining the fatigue performance characterization parameters and corresponding static strength values ​​of the composite material to be predicted; constructing a fatigue performance testing system for the composite material; determining the progressively increasing fatigue loading stress and load; applying progressively increasing stress levels of fatigue cyclic loading to the composite material under a given cycle to obtain a temperature field sequence and extracting temperature characteristic parameters characterizing the material's energy dissipation state; based on the temperature characteristic parameters and a composite material damage infrared characteristic library, obtaining the temperature-damage characteristic-stress relationship of the composite material under each cyclic loading level; based on this relationship, obtaining the critical transformation stress of the composite material to be predicted, determining the fatigue limit, and obtaining the fatigue life-stress relationship for fatigue performance prediction. This scheme improves prediction efficiency and accuracy, and avoids misjudgment based on a single parameter.

The application discloses a SNP molecular marker related to the body weight of Harpadon microchir, which is characterized by being located at the 4593166th base of the 23rd chromosome of the Harpadon microchir, and the sequence of the SNP molecular marker is shown as SEQ ID NO. 1, and the 301st base from the 5' end is A or G; wherein the body weight of an AA genotype individual is significantly higher than that of an AG or GG genotype individual. The application further discloses primers and a kit for detecting the SNP molecular marker, and application of the primers and the kit in breeding of a fine strain of the Harpadon microchir. The application can be used for early screening of breeding materials of the Harpadon microchir, shortening of a breeding cycle, improvement of selection accuracy and overcoming of the limitation of phenotype dependence in traditional breeding.

The application discloses a method for determining multi-target quaternary ammonium salt compounds in blood based on ultra-high performance liquid chromatography-tandem mass spectrometry, and relates to the technical field of drug and poison analysis and detection, and comprises the following steps: preparing a mixed standard working solution, wherein the mixed standard working solution contains paraquat, diquat, chlormequat, mepiquat, pipradrol, tubocurarine, didecyldimethylammonium chloride (DDAC), neostigmine, succinylcholine chloride, vecuronium bromide and succinylcholine chloride; and determining the multi-target quaternary ammonium salt compounds in blood based on ultra-high performance liquid chromatography-tandem mass spectrometry, wherein the contents of paraquat, diquat, chlormequat, mepiquat, pipradrol, tubocurarine, didecyldimethylammonium chloride (DDAC), neostigmine, succinylcholine chloride, vecuronium bromide and succinylcholine chloride are determined simultaneously. The method is simple in operation, sensitive in detection and reliable in result, and is suitable for poisoning diagnosis and clinical toxicology research.

The invention discloses an evaluation and screening method for grass seeds suitable for vegetation concrete, and belongs to the technical field of ecological restoration and slope protection. The method comprises the following steps: constructing an evaluation index system of the vegetation concrete protection plant comprising a plurality of evaluation indexes, and setting grading standards of four grades A, B, C and D for each evaluation index; determining the weight of each evaluation index, and extracting a decisive index from the evaluation indexes; the screening process comprises two stages: first-stage theoretical screening is based on grass seed data contrast grading standards, and direct elimination is carried out when decisive indexes appear in a D stage; and second-stage practice verifies that the grass seeds screened out in the first stage are sown in plant-growing concrete with the pH value larger than or equal to 10, and according to the actual measurement performance of the germination rate and the growth speed, the grass seeds with the two indexes both reaching the preset qualified standard are screened out to serve as the final applicable grass seeds. Through systematic quantification and dual verification, the grass seed screening problem in the high-alkali environment is scientifically solved.

The invention provides a method for determining the redox potential of soluble black carbon, and belongs to the technical field of environmental analysis. The method comprises the following steps: reducing the soluble black carbon by quinone reducing bacteria under an anaerobic condition, sterilizing, adding ferrihydrite, reacting the reduced soluble black carbon with ferrihydrite, measuring the total amount of generated Fe (II), and calculating the redox potential of the soluble black carbon by taking the electronic equivalent of a standard substance AQDS as a reference. According to the method, the electron transfer of the soluble black carbon in the natural environment is simulated by adopting the microbial reduction process, the result is closer to the real environment, the operation is simple and convenient, the repeatability is good, and the method is suitable for evaluating the electron shuttling capability of the soluble black carbon in the environment.

The invention discloses application of porcine membrane protein EPG5 in identifying and distinguishing porcine Y sperms. According to the new application of the porcine membrane protein EPG5 provided by the invention, the porcine X and Y sperm membrane proteins are subjected to proteomics analysis through a DIA proteomics technology, the porcine membrane protein EPG5 differentially expressed in the Y sperm membrane protein is screened out, the expression of the protein on the Y sperm is obviously higher than that of the X sperm, and the protein can be used as a molecular marker to identify and distinguish the porcine X and Y sperms. Research shows that the X and Y sperms of the pig can be accurately identified and distinguished through differential expression analysis of the porcine membrane protein EPG5, and the result is consistent with the sorting result of a flow cytometry. The invention provides new application of the porcine membrane protein EPG5 in identifying and distinguishing the porcine Y sperms, protein resources are expanded, more and better methods and selections are provided for identifying and distinguishing the porcine Y sperms, sperm sex sorting is performed through differential expression of the porcine Y sperm membrane protein EPG5, and the method has the advantages of low cost, small damage, high efficiency, simplicity and convenience and good application prospect.

The application relates to the technical field of early warning fastener, in particular to a tower crane anti-loosening early warning bolt, an early warning nut and an early warning fastening device. The tower crane anti-loosening early warning bolt comprises a bolt body, a first elastic contact assembly, a first PCB, a first battery, a sealing cover and a first alarm. The bolt body comprises a head and a shank which are connected with each other. The first PCB is fixed on the end face of the head away from the shank. The first battery and the first alarm are both mounted on the first PCB and are seamlessly wrapped by the sealing cover. The head is provided with penetrating holes, and one first elastic contact assembly is mounted in each penetrating hole. One end of the first elastic contact assembly is fixed to the first PCB, and the other end is exposed from the head when not compressed. The alarm mechanism is arranged on the bolt, which makes up for the deficiency of alarm failure caused by possible loosening of the early warning nut. The early warning bolt collects the pressure information of the first elastic contact assembly through the first PCB, and when the early warning bolt is loosened, the pressure is reduced, so that the first alarm can be started to give an alarm.

The pressure-sensitive color-developing flexible thin film assembly comprises a first thin film and a second thin film, the first film comprises an upper layer and a lower layer, the upper layer is a transparent protective layer, and the lower layer is a pressure-sensitive developing capsule layer; the second film comprises an upper layer and a lower layer, the upper layer is a color developing agent layer, and the lower layer is a substrate layer; when the pressure-sensitive color developing capsule is broken, a dye precursor flows out, and the dye precursor can react with the color developing agent layer to develop color. According to the invention, a hard paper substrate in traditional pressure sensitive paper is improved, and a gauze element or a fabric with relatively high flexibility is adopted, so that the laying property of the pressure sensitive paper is ensured, and the pressure sensitive paper can be tightly laid on the surface of a curved-surface-shaped workpiece.

This invention relates to the field of materials testing technology, specifically to a method for testing powder X-ray diffraction (XRD) samples without impurity peaks based on directional pelleting, which is particularly suitable for XRD testing of small quantities of powder samples. This method, through pelleting combined with glass slide elevation, solves the problems of powder scattering and impurity peak interference when the sample quantity is insufficient in existing technologies, thus improving the reliability and flexibility of XRD testing.

The invention discloses a generator set multiple quantitative analysis system and method based on thermodynamic digital twinning and artificial intelligence, and the system comprises a thermodynamic digital twinning module which is used for simulating the thermal state of a generator set in real time according to boundary conditions; the expert model module is used for calculating unit performance and virtual power station performance according to the actual parameters; the AI analysis optimization module is used for calling intermediate parameters of the digital twin and expert model to perform quantitative analysis and diagnosis, generating an optimization strategy and verifying the strategy; and the credibility guarantee module is used for guaranteeing the interpretability and reliability of the system. According to the method, an AI model with digital twin and expert models as data and knowledge basis and physical rules as constraints is constructed, closed-loop management of intelligent analysis, diagnosis and operation optimization of the generator set is realized, and the problems of insufficient modeling precision, insufficient strategy reliability, insufficient credibility, unbalanced data privacy and generalization ability and the like in the prior art are remarkably solved.

The invention belongs to the technical field of identification of variety resources and germplasm innovation, and discloses an SSR (simple sequence repeat) core primer combination for identifying the content of'high saikoside 'in a radix bupleuri variety, a kit and application. According to the invention, a pair of specific SSR core primers (CHSSR1F / CHSSR1R) are screened by using a microsatellite molecular marker development technology. The primer combination can specifically amplify a characteristic band of 136 bp in a Chinese thorowax root variety with high saikosaponin, so that the Chinese thorowax root variety with low saikosaponin can be quickly and accurately identified and distinguished from other Chinese thorowax root varieties with low saikosaponin. The SSR core primer combination, the kit and the identification method provided by the invention overcome the defects that the traditional chromatographic identification method is time-consuming, high in cost, dependent on equipment and the like, have the advantages of reliable result, simplicity and convenience in operation, high detection efficiency and the like, and are beneficial to popularization and protection of a'high saikosaponin 'radix bupleuri variety and medicinal material quality control.

The application provides a construction method of a characteristic map of Adiantum capillus-veneris and a content determination method of characteristic components of the Adiantum capillus-veneris. The construction method of the characteristic map comprises the following steps: taking chlorogenic acid, 3-O-p-coumaroyl quinic acid and kaempferol-3-O-beta-D-glucuronide as reference substances to obtain reference substance solutions; mixing the Adiantum capillus-veneris with an extraction solvent and performing heating reflux treatment or ultrasonic treatment, and then filtering the Adiantum capillus-veneris after cooling to obtain a test sample solution; placing the test sample solution and the plurality of reference substance solutions in a high performance liquid chromatograph, determining high performance liquid chromatograms of the test sample solution and the reference substance solutions, taking the high performance liquid chromatograms of the reference substance solutions as a control, selecting common peaks from the high performance liquid chromatogram of the test sample solution, and obtaining a characteristic map of the Adiantum capillus-veneris. The above method has excellent precision, repeatability, stability and durability, and is significantly superior to traditional single component determination or non-standardized methods.

The application relates to the technical field of nanobiosensors, and discloses a bimodal nanoprobe for uric acid detection and a preparation method and application thereof. The bimodal nanoprobe is a fluorescence-photothermal bimodal nanoprobe, and is a core-shell structure nanoparticle, which comprises, from the inner layer to the outer layer, a) a fluorescent inner core composed of carbon dots and a silica layer coated outside the carbon dots; b) a manganese dioxide layer coated outside the fluorescent inner core; and c) a molecularly imprinted polymer layer coated outside the manganese dioxide layer. The bimodal nanoprobe in the application integrates a fluorescence signal source (carbon dots), a signal modulation and photothermal unit and a specific recognition layer (a uric acid molecularly imprinted polymer) through ingenious structure design, realizes bimodal sensing of "specific recognition -> MnO2 etching -> fluorescence recovery / photothermal weakening" on UA, and effectively solves the problems of poor selectivity, complicated operation and high cost of traditional methods.