35results about How to "Meet analysis needs" patented technology

The invention relates to the technical field of safety and the field of financial science and technology, and discloses a risk analysis method, device and equipment and a storage medium, and the method comprises the steps: obtaining the travel data of a vehicle collected by an application program through the application program corresponding to an insurance service; obtaining a trip place in the trip data, and judging whether the trip place is a preset target place or not; when the travel place is a target place, acquiring a current distance between the travel place and the target place, and if the current distance is smaller than a preset distance, triggering a recording event once; in a preset time period, a preset statistical function is adopted to count the number of the recorded events, and the number of the recorded events is set as the original travel frequency of the vehicle arriving at the target location; determining final travel times according to the original travel times and the random numbers; and generating risk analysis data of the insurance service based on the service identifier of the insurance service and the final travel times. According to the method, the privacy protection requirement can be met, and the analysis requirement of the insurance service can also be met.

The embodiment of the invention discloses a power grid optimal power flow calculation method based on a convex relaxation technology and related equipment, first active power flow, first reactive power flow, second active power flow and second reactive power flow can simulate operation of alternating current and direct current power grids including high-voltage direct current power transmission, and through the convex relaxation technology, the optimal power flow of the power grid can be calculated. And a non-convex optimization problem in the power flow is converted into a convex optimization problem which is easy to solve, so that the accuracy and the calculation efficiency of the optimal power flow are ensured by calculating the optimal power flow by using the branch power flow model optimized by the convex relaxation technology, and the analysis requirement of an alternating current and direct current hybrid power grid is met.

The invention discloses a rapid humic acid analysis method, system and equipment based on a cloud server and a medium thereof.A spectrum sensor and an electrochemical sensor are used for rapidly collecting data of a humic acid sample, rapid analysis of humic acid is achieved by means of the strong computing power of the cloud server, the analysis time is greatly shortened, and the analysis efficiency is improved. The method is suitable for scenes requiring quick result acquisition; through use of the cloud server, a user does not need to deploy a complex analysis system locally, humic acid analysis can be carried out only through a network, operation is easy and convenient, popularization and application are easy, and the analysis cost is reduced; the analysis model is constructed by adopting a machine learning algorithm, the characteristic parameters can be automatically extracted from the spectrum data and the electrochemical data, and accurate analysis and prediction are carried out, so that the analysis accuracy and reliability are improved, and the interference of human factors is reduced.

The invention discloses an image processing method for realizing enhanced image recognition. A data acquisition and preprocessing module, a feature extraction and optimization module, a parallel processing and scheduling module, a real-time optimization and feedback module, a hardware acceleration integration module and a result output and post-processing module are included. The data acquisition and preprocessing module captures original image data in real time by various sensors or cameras, and executes preprocessing steps of preliminary denoising, color correction, size adjustment and the like so as to reduce the subsequent processing burden; the feature extraction and optimization module performs feature extraction on the preprocessed image by using a deep learning model (such as a convolutional neural network CNN), and reduces calculation redundancy through algorithm optimization; the parallel processing and scheduling module distributes feature extraction tasks to a plurality of processor cores or utilizes a GPU to carry out parallel computing, task distribution is optimized through an intelligent scheduling algorithm, and the overall processing efficiency is improved.

The invention discloses a rolling data stream digital comparison and coordinate capture device and method based on a comparison tree. The device comprises an input processing module, a subgroup comparison module and a global comparison module, the input processing module is connected with the subgroup comparison module, and the subgroup comparison module is connected with the global comparison module; the input processing module is used for receiving input data, performing bit extension according to parity of the data, triggering a comparison enable signal and providing data to be compared and X coordinate offset information of the data to be compared; the subgroup comparison module is used for carrying out local extreme value judgment on the received data subgroups based on a comparison tree structure and capturing and outputting corresponding coordinate information at the same time; and the global comparison module is used for summarizing the local extreme value information of each data subgroup, and determining the global extreme value of the whole data stream and the corresponding coordinate thereof through a continuous comparison process. According to the method, complete streamlined processing can be realized, and compared with a traditional scheme, the real-time processing requirement can be met, and meanwhile, the hardware design complexity is reduced.

The invention discloses a forest soil nematode separation method based on combination of a Bellman funnel method and a centrifugal flotation method, and relates to the technical field of nematode extraction. The invention aims to solve the problem that the traditional single separation method is difficult to consider both efficiency and effect at the same time. Compared with a traditional single nematode separation method, the nematode separation method combining the Bellman funnel method and the centrifugal flotation method has the advantages that the separation efficiency is improved, loss and errors in the operation process are reduced, the nematode integrity can be better protected, the purity of a separated sample is ensured, and the separation efficiency is improved. Therefore, a more accurate and reliable basis is provided for subsequent nematode identification and counting. The forest soil nematode separation method based on the combination of the Bellman funnel method and the centrifugal flotation method can be obtained.

The present application relates to the field of environmental monitoring technology, and in particular to a method and device for analyzing the restoration effect of microplastic-contaminated soil; the method comprises: obtaining current soil index data of microplastic pollution; determining, according to the current soil index data, an analysis result corresponding to the current soil index data through a first analysis model; wherein the analysis result indicates the restoration degree of the microplastic-contaminated soil; the network structure of the first analysis model is a first extreme learning machine; the first weight matrix of the hidden layer in the first extreme learning machine is determined according to the weighted sum of the first weight matrices of the hidden layers in multiple second extreme learning machines; the second extreme learning machine is obtained by training according to a training sample set including historical soil index data; the present application realizes batch analysis of current soil index data through the first analysis model, so the present application can meet the growing analysis needs of soil restoration effect.

The application relates to the technical field of aerial video analysis, and discloses a large-scene multi-modal analysis system and method based on a UAV. The method acquires an original video frame sequence from aerial equipment, extracts a scene change period and an object motion trend by calculating an inter-frame motion feature vector, and judges whether a scene is in a stable or dynamic state by means of a state classification model. In the dynamic state, a tracking target position is calculated according to preset parameters, and an analysis target area is adjusted in combination with the motion trend; a camera parameter adjustment instruction is generated according to a deviation amount of the analysis target area from an actual object position, and is output to an executing mechanism; a complexity value is acquired through a scene complexity feedback signal, and when the complexity value exceeds a preset range, an adaptive algorithm is used to update an analysis strategy and output an adjustment signal; the output timing of control and strategy adjustment signals is optimized, the frame sequence and analysis parameter change trend are monitored in real time, preset parameters are dynamically updated to match user requirements, and efficient video analysis processing is realized.

The present invention relates to the technical field of multidimensional data analysis in big data, and discloses an intelligent dynamic dimensional sorting method and system based on multidimensional feature parameters, the method comprising: creating a commodity hierarchical dimension table containing the atomic dimensions and hierarchical relationships of commodities according to the standard dimensional data of commodities stored in a data warehouse; creating a commodity parameter dimension table containing all parameter types and corresponding parameter values ​​of commodities according to the parameter types corresponding to each commodity and in combination with the hierarchical dimension table; disassembling commodities of different levels according to parameter types, and performing dimensionally differentiated sorting on each parameter value after disassembly through a sorting algorithm. The intelligent dynamic dimensional sorting method and system based on multidimensional feature parameters provided by the present invention solve the problem that traditional business multidimensional definitions cannot be controlled, reduce physical storage space and manual management costs through intelligent analysis and sorting, and can help business data analysts gain insight into key issues more quickly.

This invention discloses an automatic identification method and system for lipid double bond positions based on ozone dissociation mass spectrometry data. The method includes: S1 constructing an in-silico ozone lipid fragment database; S2 preprocessing the raw mass spectrometry data and screening to obtain candidate features and auxiliary features; S3 retrieving ozone fragment features from the auxiliary features based on retention time and mass difference constraints; S4 constructing a directed bipartite graph of candidate features and fragment features; S5 scoring edges through multi-dimensional similarity calculation and removing redundancy by attribute combination; S6 comprehensively scoring the candidate lipid structures and outputting the double bond position identification results. This invention achieves high-throughput, low-false-positive automatic identification of double bond positions in multiple lipids and large-scale lipids through broad database coverage, multi-dimensional matching scoring, and redundancy removal strategies. It has strong structural resolution, is compatible with common mass spectrometry data formats, can be integrated with standard workflows, and is suitable for structural lipidomics research.

The invention discloses an intelligent digital modeling method for a laying process of a metal rubber component, and belongs to the technical field of computational simulation. The method comprises the following steps: firstly, establishing a straight line center track path of a spiral metal wire, establishing a spiral line center path of the spiral metal wire around the straight line center track path, then generating a grid of the metal rubber based on the path, and finally generating a solid three-dimensional model of the metal rubber. According to the intelligent digital modeling method, the finite element method and the computer graphics theory are combined to solve the intelligent digital modeling problem of the metal rubber component laying process, and intelligent digital modeling of the metal rubber component laying process can be rapidly achieved.

The invention relates to an Excel file analysis method, electronic equipment, a storage medium and a program product. The method comprises the steps that entity classes which are defined for worksheets of an Excel file and have first annotations and second annotations which are added to fields in declarations of the entity classes are obtained; generating a class set with the first annotation as a main key and the entity class as a value; the first annotation comprises an identifier of the worksheet; generating an array corresponding to the worksheet based on each row of data of the worksheet; generating a data set taking the identifier of the worksheet as a main key and the array as a value based on the identifier and the array of the worksheet; based on the class set and the data set, determining an entity class corresponding to the array; on the basis of the second annotation corresponding to the entity class, verifying the value of the field in the corresponding array, and in response to verification passing, assigning the value to the corresponding field in the entity class on the basis of the array; the second annotation comprises the name of the field and the corresponding verification rule. The analysis quality can be improved.

The application provides a pre-concentrator for gas analysis, and relates to the technical field of gas analysis. The pre-concentrator for gas analysis comprises a concentrator main body, a concentration mechanism for concentrating gas is arranged in the concentrator main body, an adjusting mechanism for adjusting various data of the device is arranged in the concentrator main body, the concentration mechanism comprises a connecting plate and a concentration column, the connecting plate is fixedly installed on the lower surface of the concentrator main body through bolts, and the concentration column is installed in the concentrator main body. The pre-concentrator for gas analysis is provided with the concentration mechanism, and the problem that the pre-concentrator for gas analysis in the prior art is difficult to realize targeted concentration of different types of gas and has poor universality when pre-concentrating the to-be-tested gas in actual use is solved, targeted adsorption and concentration of different types of gas are realized, the universality of the pre-concentrator is improved, and the beneficial effect that different gas analysis requirements can be met is achieved.

The application discloses a high-speed rare thin flow field prediction method and system based on a mask self-encoder, and belongs to the technical field of cross hyper-sonic aerodynamics and artificial intelligence. The application mainly comprises the following steps: constructing a cross-flow multi-scale flow field database; constructing and pre-training a multi-scale mask self-encoder model, forcing the model to learn to reconstruct the full-field flow field from sparse information through a random mask strategy; introducing a physical information constraint to fine-tune the model, wherein the physical information constraint comprises a Chapman-Enskog distribution function constraint, a moment equation conservation residual and a wall Maxwell slip boundary condition; introducing a Knudsen number self-adaptive reasoning mechanism to automatically adjust the feature weight through a gate network; and using the trained model to predict the flow field. The application realizes cross-flow unified rapid prediction covering a wide Knudsen number range, guarantees the prediction accuracy, significantly improves the calculation efficiency, and has good physical consistency and generalization ability.

This invention belongs to the field of spectral analysis technology and relates to a liquid crystal metasurface composite blazed angle grating and a spectrometer. The liquid crystal metasurface composite blazed angle grating includes a planar substrate, a photo-alignment layer, and a liquid crystal layer stacked sequentially from bottom to top. The photo-alignment layer uses a photosensitive alignment material, and when irradiated by polarized light, its surface forms a molecular alignment pattern matching a preset composite phase distribution. The liquid crystal layer uses a high birefringence nematic liquid crystal material, and its internal liquid crystal molecules are arranged under the control of the molecular alignment pattern of the photo-alignment layer to form a liquid crystal metasurface structure matching a preset composite phase distribution. When composite light passes through the planar substrate and irradiates the liquid crystal metasurface structure, the liquid crystal molecules generate differentiated phase modulation of incident light of different wavelengths according to the gradient of the preset composite phase distribution, so that incident light of different wavelengths is diffracted and deflected at different angles, simultaneously realizing the dispersion and focusing imaging of composite light, thereby forming a spectrum.

This invention discloses a device and method for capturing and detecting the main components of mainstream cigarette smoke, aiming to provide a convenient device and method for capturing and detecting the main components of mainstream cigarette smoke. The detection device includes a smoking machine, a bypass filter, a first electromagnetic reversing valve, a smoke storage device, a hollow waveguide fiber optic gas cell, an infrared spectrometer, a second electromagnetic reversing valve, a peristaltic pump, and a diaphragm pump. The smoke storage device includes a silicone gas bag with an inlet and an outlet, a manual inlet switch knob on the inlet, and a manual outlet switch knob on the outlet. The hollow waveguide fiber optic gas cell has an inlet on one side and an outlet on the other. The hollow waveguide fiber optic gas cell contains a hollow waveguide fiber, an infrared light incident deflector, and an infrared light exit deflector. The two ends of the hollow waveguide fiber are connected to the infrared light incident deflector and the infrared light exit deflector, respectively.

The present application relates to the technical field of chemical component analysis in environmental flue gas, and specifically, to a method for analyzing odor components in environmental flue gas. The method comprises the following steps: 1) overall sniffing of environmental tobacco smoke; 2) sampling; 3) analysis of characteristic odor components: 4) analysis of key odor components. The present invention can achieve the enrichment of low-concentration odor compounds. After sampling, thermal desorption analysis is directly performed without complicated pre-treatment. The method is simple, rapid, reproducible, and highly sensitive, and can fully meet the analysis requirements of odor components in environmental flue gas; by diluting the sampled sample, key odor substances can be determined, and accurate identification of odor components in environmental flue gas can be achieved; it is more suitable for odor analysis of complex samples, and can purposefully cut the odor characteristics of interest, effectively removing the interference of odorless or lightly smelled but high-content compounds, and is more selective and efficient.

The invention belongs to the technical field of analysis and detection, and relates to a method for detecting the migration volume of non-phthalate plasticizers in paper packaging products. The invention provides a method for detecting the migration volume of a non-phthalate plasticizer in a paper packaging product, which comprises the following steps: carrying out migration test on a paper packaging product to be detected and a dry simulant to obtain a migrated dry simulant; preparing a standard working solution; preparing a to-be-detected simulant solution from the obtained migrated dry simulant; the standard working solution and the to-be-detected simulant solution comprise an internal standard substance; and detecting the standard working solution and the to-be-detected simulant solution by adopting a gas chromatography mass spectrometer, and calculating the content of the non-phthalate plasticizer in the to-be-detected simulant solution according to the standard curve. The method is high in analysis speed, high in precision and good in accuracy, and typical non-phthalate plasticizers can be detected at the same time.

The invention discloses a data processing method and device, electronic equipment, a medium and a product, and the method comprises the steps: receiving a data analysis request which comprises a data query condition and analysis type indication information; and obtaining user behavior data matched with the data query condition, and performing integration processing on the user behavior data according to a user identifier corresponding to the user behavior data to obtain behavior sequence data of each user. Data analysis processing is conducted on the behavior sequence data of each user according to the analysis type indication information, a first analysis result is obtained, and the first analysis result comprises the data analysis result of each user. Through the method, the data analysis efficiency can be improved, and different data analysis requirements can be met.

The invention belongs to the crossing field of environmental functional materials and microbial technologies, and particularly relates to an LDHs-biological membrane solid-liquid interface culture method which comprises the following steps: S1, preparing an LDHs material; s2, constructing a standardized LDHs mineral membrane; s3, carrying out sterile treatment on the LDHs mineral membrane; and S4, carrying out solid-liquid interface culture on the LDHs-biological membrane. According to the method, the forming ability, metabolic activity, structural stability and pollutant removal characteristics of the LDHs material surface biological membrane can be effectively evaluated, and accurate and reliable evaluation is provided for deep exploration of a material-biological membrane interaction mechanism and promotion of application of the material-biological membrane interaction mechanism in environmental restoration.

The invention relates to the technical field of image data processing, and particularly discloses a riverway equidistant line pixel resolution evaluation method based on image recognition, and the method comprises the steps: image quality evaluation, riverway equidistant line generation, pixel resolution evaluation and evaluation result feedback: firstly, evaluating an image quality index of a riverway region; if the image quality index is greater than or equal to a predefined image quality index threshold value, positioning each pixel key point of the target river channel, generating each river channel equidistant line of the target river channel, judging resolution evaluation data of each river channel equidistant line of the target river channel, and according to a resolution to-be-evaluated point of the target river channel, determining the resolution of the target river channel; therefore, the pixel resolution corresponding to the resolution to-be-evaluated point of the target river channel is evaluated, the recognition process of the pixel resolution of the equidistant line of the target river channel is fed back, and the monitoring data of the equidistant line of the river channel can be ensured to be more accurate by recognizing the pixel resolution, so that the accuracy of a monitoring result is improved.

This invention belongs to the field of mass spectrometry detector technology, and specifically relates to a mass spectrometry detector and its data correction method, apparatus, and storage medium. The method includes: acquiring ion data collected by the mass spectrometry detector in scanning mode based on a preset scan step divided by ion mass; acquiring the actual mass of each group of ions of the same mass in the ion data and recording it as a data acquisition point, with each data acquisition point corresponding to a set acquisition point based on the preset scan step; when the mass difference between a data acquisition point and the corresponding set acquisition point is less than or equal to a preset accuracy range, using the signal intensity of the data acquisition point as the signal intensity of the corresponding set acquisition point; when the mass difference between a data acquisition point and the corresponding set acquisition point is less than or equal to a correction threshold, obtaining the signal intensity of the set acquisition point based on the signal intensities of the two data acquisition points with the closest masses to the corresponding set acquisition point. This improves the precision and accuracy of the acquired ion data.

The invention discloses an Al-Zn-In sacrificial anode coating metallographic analysis method, and relates to the technical field of metallographic detection of aluminum sacrificial anodes.The method comprises the four core steps of mechanical coarse grinding, mechanical fine grinding, electrolytic polishing and anode coating, firstly, an Al-Zn-In sacrificial anode is prepared, then, a sample is cut from the Al-Zn-In sacrificial anode, and then the Al-Zn-In sacrificial anode is obtained; the method comprises the following steps: carrying out mechanical coarse grinding and mechanical fine grinding on a sample, carrying out electrolytic polishing by adopting an electrolyte mixed by perchloric acid and absolute ethyl alcohol, connecting the sample subjected to electrolytic polishing with a direct-current power supply anode, connecting a stainless steel sheet with a cathode, putting into a film coating solution for film coating, cleaning to obtain a film-coated sample, and finally carrying out metallographic analysis on the film-coated sample. According to the method, the problems of blurred grain boundary, grain boundary covering, residual scratches, unclear second phase and the like in traditional metallographic analysis are solved, the grain boundary is completely displayed, the grain contour is clear and distinguishable, the contrast is high, false image interference is avoided, and the structure analysis requirement is met.

The invention discloses a multi-modal presentation detection method based on simultaneous detection of multiple bacteria, and belongs to the technical field of analysis and detection. The method comprises the following steps: preparing a bacterial target; the method comprises the following steps: preparing a bacterial target, then preparing a functional magnetic bead of a bacterial response type probe, adding the prepared functional magnetic bead of the bacterial response type probe into the bacterial target for incubation, identifying the target by the bacterial response type probe, cutting an RNA site to release an RCA amplification primer, adding an annular template, phi 29 DNA polymerase, dNTPs and T4 polynucleotide kinase for an RCA amplification reaction to obtain an RCA product, adding a molecular beacon, and carrying out fluorescence detection on the RCA product. And detection is carried out through photographing of a fluorescence spectrophotometer, an inverted fluorescence microscope or a smart phone. The detection method has good specificity on escherichia coli, coconut venom pseudomonas and staphylococcus aureus, has the advantages of portability, simplicity, high result reliability and accuracy, low cost and the like, and has a wide application prospect.

The invention relates to the technical field of biology, and particularly discloses a method for extracting biomacromolecules in an agarose clone formation experiment. The method can effectively extract nucleic acid (DNA and RNA) and protein in an agarose cloning formation experiment for molecular biological analysis, such as PCR, Q-RT-PCR and Western-blot analysis, and has the advantages that the efficiency is high, the operation is simple, the quality of extracted nucleic acid (DNA and RNA) and protein samples is good, the analysis requirement of bioinformatics is completely met, and the like. According to the method, a CTAC extracting solution is adopted to dissolve agarose wrapping cells, then nucleic acid precipitation is carried out in a chloroform extraction and isopropanol purification precipitation mode, and then DNA / RNA separation and purification are carried out on nucleic acid precipitation, so that the extraction efficiency is high, sample deviation is effectively avoided, and the detection accuracy is high. And the obtained DNA / RNA sample can completely meet the subsequent bioinformatics analysis. According to the method, PBS is adopted to wash and dissolve agarose coated cells, although a certain protein sample is lost, FBS pollution can be effectively reduced, finally, the protein is further concentrated through methanol, and the obtained protein sample completely meets the requirement of protein analysis.

The invention discloses a perovskite component proportion analysis method based on a depth generation model, and the method comprises the following steps: optimizing the representation capability of a potential space sample through the introduction of the depth generation model and a regularization flow technology, and dynamically optimizing the position and structure of the sample in combination with a self-adaptive potential space adjustment mechanism and a self-attention mechanism, and the method adapts to the characteristics of different types of perovskite materials. A plurality of perovskite samples are generated through combination of a variational auto-encoder and regularized flow, component proportion information of each sample is deduced from a potential space through a multi-dimensional reverse inference technology, accurate component proportion analysis of the perovskite material is realized, and accurate component proportion analysis of the perovskite material is realized through combination of structural characteristics and chemical component information of the perovskite material. And chemical characterization is carried out in a potential space for generating the sample, so that the analysis accuracy is further improved. According to the method, the component proportion of the perovskite material can be efficiently and accurately analyzed, and the method has a wide application prospect.

This invention pertains to mass spectrometry, specifically providing a low-vacuum, open-type atmospheric pressure continuous injection ion transport system and method. The ion transport system includes an ion funnel; a first set of electrodes comprises a first portion and a second portion arranged sequentially, with each electrode in the second portion having a first opening on the same side; a second set of electrodes is disposed on the side of the second portion, having a second opening corresponding to the first opening; the ion funnel is disposed downstream of the second set of electrodes; the second set of electrodes and the first set of electrodes have ion channels extending along their central axis; a deflection electrode, the second portion, and the second set of electrodes are arranged sequentially; a power supply provides radio frequency voltage and DC voltage to the first and second sets of electrodes, and provides DC voltage to the deflection electrode, causing ions in the second portion to be deflected, passing sequentially through the first and second openings, and entering the second set of electrodes. This invention has the advantage of high ion transport efficiency.

The invention provides a longitudinal multiple determination method, device and equipment for earth coverage period calculation, and relates to the technical field of spaceflight, and the method comprises the steps: carrying out the orbit recursion based on satellite parameters, so as to form the target longitude and latitude sequence data of a satellite under each regression orbit; carrying out sea-land identification processing on the target longitude and latitude sequence data to obtain a target imaging segmental arc time sequence diagram; and determining the number of regression cycles required for completing all imageable arc segments under each regression orbit in the target imaging arc segment time sequence diagram by taking the imaging duration of each orbit of the load as a constraint, and using the number of regression cycles as a longitudinal multiple for calculating the earth coverage cycle of the satellite. According to the method, the coverage period calculation requirement under the requirement of only land imaging or only ocean imaging can be met, the fitness of ground coverage period calculation is improved, and the more refined analysis requirement in actual work is met.

This application provides a method, apparatus, and device for online real-time source apportionment of VOCs. The method includes: screening atmospheric VOCs receptor samples to obtain a first receptor data matrix; when it is determined that there is no local source component spectrum corresponding to the receptor sample, performing a source-free spectrum analysis process including: performing PCA on the first receptor data matrix, obtaining principal components with eigenvalues ​​greater than 1 in each source component, calculating the cumulative contribution rate of eigenvalues ​​of N principal components, determining the number of first sources as the number of factors based on the cumulative contribution rate of eigenvalues, running PMF to decompose the first receptor data matrix to obtain a source component spectrum matrix; calculating the correlation coefficient and mass percentage based on the source component spectrum matrix to obtain the number of second sources; identifying sources that meet the number of second sources based on a preset pollution source characteristic tracer material library and source component spectrum matrix, obtaining source identification results, and performing trend analysis using the source identification results.

The invention discloses a pretreatment method of a gusset-fish tooth slice for micro-chemical analysis. The pretreatment method comprises the following steps: collecting mandibular teeth of a dead gusset-fish individual; cleaning the teeth, removing soft tissues on the surfaces and in tooth roots, and airing the cleaned teeth; the teeth are fixed on a base made of epoxy resin blocks, and the base is fixed in a mold; preparing an epoxy resin reagent, and embedding the teeth in epoxy resin; a low-speed precise cutting machine is used for cutting the buccal side and the lingual side of the tooth along the coronal plane, so that the central axis of the coronal plane of the tooth is contained in a slice with the thickness of 3 mm; further grinding and polishing one side of the slice, and fixing the slice on a glass slide; and grinding and polishing the other side of the slice, cleaning, and drying. The dolphin tooth slice obtained through the pretreatment method has the advantages of being smooth in surface, precise in polishing, not prone to breaking and cracking, capable of achieving growth axial surface maximization and the like, and can be used for microchemical analysis and growth layer group analysis of dolphin teeth.