85results about How to "Achieve quantification" patented technology

The application discloses a photoelastic transparent soil three-dimensional stress-deformation full-field cooperative measurement device and a use method thereof. The device comprises a loading system, a stress-strain measurement system and a model test system. The model test system comprises an optical platform and a model groove arranged at a central position of the optical platform and used for containing a sample to be tested. The loading system is arranged above the optical platform and used for applying axial pressure to the sample to be tested. The stress-strain measurement system comprises a camera module, a laser module, a light source module, a guide rail and a control system II. During work, the camera module, the laser module, the light source module and the guide rail are adjusted by the control system II, so that the camera is scanned around the sample to be tested, deformation images are collected, full-field strain is obtained, and a three-dimensional digital model of the soil body is reconstructed. The device has high integration, can obtain stress distribution information of any cross section and any direction in the material, and overcomes the inherent defects that a two-dimensional photoelasticity cannot reflect stress gradient in the thickness direction.

The present application relates to the technical field of multi-cause intelligent analysis in medical diagnosis, and particularly relates to an osteoporosis detection method and system based on data analysis and artificial intelligence. The method comprises the following steps: S1: obtaining primary osteoporosis data and secondary osteoporosis data and determining synergistic data, and determining antagonistic masking data according to the synergistic data; S2: obtaining a first layer dominant right conversion sequence according to the synergistic data and the antagonistic masking data; S3: obtaining a synergistic data internal dominant relationship sequence and an antagonistic masking data internal dominant relationship sequence respectively according to the synergistic data and the antagonistic masking data, and generating a complete dominant relationship graph in combination with the first layer dominant right conversion sequence. The present application separates and analyzes the synergistic and antagonistic modes of primary and secondary osteoporosis, constructs a dynamic dominant right sequence, quantifies the evolution of mixed cause weights, and provides data support for individualized precise diagnosis and treatment.

The invention relates to the technical field of fuel ratio regulation and control, in particular to a fuel self-adaptive ratio regulation and control method for a waste multi-fuel combustion boiler, which comprises the following steps of: obtaining combustion characteristic parameters of various fuels, calculating combustion performance values of the various fuels, grouping and dividing the fuels according to the combustion performance values, and regulating and controlling the fuel ratio of the waste multi-fuel combustion boiler. Calculating a difference value of two groups of fuel combustion performance mean values to obtain an initial performance difference value, determining a fuel proportioning parameter according to the initial performance difference value, monitoring and analyzing temperature data and waste gas emission amount data in a boiler operation process, calculating a temperature fluctuation value and a waste gas emission fluctuation value to obtain a combustion quality influence coefficient, and calculating a combustion quality influence coefficient according to the temperature fluctuation value and the waste gas emission fluctuation value; collecting a steam pressure oscillogram and feed water flow in equipment operation parameters, calculating a steam pressure fluctuation value and a feed water flow fluctuation value to obtain an equipment operation influence coefficient, performing weighted fusion on the combustion quality influence coefficient and the equipment operation influence coefficient to obtain a comprehensive influence value, and performing calibration analysis on an initial performance difference value according to the comprehensive influence value; therefore, the self-adaptive regulation and control of the fuel ratio parameters are realized.

The application discloses an energy consumption metering method and device based on digital twinning, which comprises the following steps: collecting building energy consumption related data based on a pre-constructed building energy consumption digital twinning model; analyzing the energy consumption of the building according to the building energy consumption related data, and giving topological correlation characteristics, multi-scale time characteristics, equipment health characteristics and environmental lag characteristics; combining a pre-constructed energy consumption coefficient prediction model to analyze the topological correlation characteristics, multi-scale time characteristics, equipment health characteristics and environmental lag characteristics, and giving environmental influence coefficients, topological correlation coefficients and space utilization coefficients; determining a benchmark energy consumption prediction model through the environmental influence coefficients, topological correlation coefficients and space utilization coefficients, combining an energy consumption compensation coefficient, and giving building target energy consumption, so as to realize accurate prediction of benchmark energy consumption and dynamic compensation of actual energy consumption, realize accurate metering of building energy consumption, and improve the analysis accuracy of building energy consumption.

The invention provides a non-drug intervention strategy making method and system for an insomnia patient, and the method comprises the steps: obtaining a traditional Chinese medicine physiological reference parameter of the patient, mapping the traditional Chinese medicine physiological reference parameter to a continuous physiological waveform, removing a static component matched with a traditional Chinese medicine physiological reference from the continuous physiological waveform, and obtaining a non-drug intervention strategy of the patient; obtaining a pure stress shock waveform triggered by external disturbance, and calculating a permeation gain of the environment characteristics to the pure stress shock waveform in the environment path; calculating the interference intensity of the traditional Chinese medicine syndrome characteristic data on the pure stress shock wave form in the syndrome path; performing state object division on the current sleep state of the patient based on the ratio relationship between the permeation gain and the interference intensity; and dynamically adjusting the output weights of the physical environment adjustment instruction, the traditional Chinese medicine syndrome adjustment instruction and the cognitive intervention instruction in a preset non-drug intervention library based on the recognition result of the state object and the recovery characteristic time parameter of the physiological steady state in the corresponding state. And a dynamic self-adaptive household non-drug intervention scheme is provided.

The invention belongs to the technical field of semiconductor manufacturing and testing, and discloses a matching evaluation method, system and device of a WAT testing machine and a storage medium. The method comprises the following steps: acquiring test data of a target and a reference machine, generating comparability conditions based on information such as products and stations to perform data alignment and preprocessing, and outputting an alignment data set and a quality index; calculating a multi-dimensional feature vector including distribution, risk, trend and wafer spatial features for each test item based on the alignment data; the feature vector and the alignment quality index are fused, a difference score is calculated, and evaluation is carried out in combination with a self-adaptive threshold value dynamically generated based on historical data and parameter importance; and finally, outputting a difference parameter list and an evaluation result, simultaneously introducing an AI model to carry out comprehensive judgment, and continuously optimizing through a feedback closed loop. Through the method, automation, quantification and intelligentization of machine matching evaluation are realized, and evaluation efficiency, consistency and accuracy are remarkably improved.

The application discloses an intelligent bid evaluation auxiliary decision-making system based on an AI large model, relates to the technical field of intelligent bid evaluation, and comprises a data acquisition module, an information extraction module, a graph construction module, a factor matching module and an intelligent scoring module; the data acquisition module acquires original data of bid invitation and bid documents; the information extraction module performs multi-modal information extraction on the original data to generate a structured factor set; the graph construction module analyzes the structured bid invitation factor set and constructs a bid invitation demand knowledge graph; the factor matching module aligns and maps the structured bid factor set with the knowledge graph to generate a matching relationship network; and the intelligent scoring module utilizes an AI large model, combines historical bid evaluation cases and real-time market quotations, and outputs a multi-dimensional preliminary quantitative scoring vector of bidders; the system can improve the completeness of bid evaluation information extraction and the objectivity of bid evaluation results, and assists efficient development of bid evaluation work.

The invention provides a method and system for accurately controlling the temperature of an adhesive production reaction kettle, and relates to the technical field of adhesive production, and the method comprises the steps: applying a transient heating pulse to the reaction kettle in adhesive production, collecting the surface temperature data of a container wall, processing the data, calculating a temperature decline curve, and extracting key information of heat transfer characteristics. A heat abnormal area caused by uneven mixing is identified based on spatial distribution of key information, and the thermal state change of the adhesive reaction degree is estimated in combination with a time change mode. And adjusting a heating pulse mode and a working state of the stirring device according to the abnormal area and the change mode, and introducing a pause detection stage to collect surface temperature feedback under weak heating pulses so as to confirm an adjustment effect. And finally, associating the key information with the reaction degree based on feedback to generate a temperature adjusting command, and adjusting the heating or cooling intensity, so that accurate control on the temperature of the reaction kettle can be realized, and the production quality and efficiency are improved.

This invention relates to the fields of tunnel engineering and 3D geological modeling technology, specifically to an intelligent modeling method and system for 3D geological uncertainty in tunnels based on transition probability geostatistics and sparse boreholes. The method includes: S1, integrating multi-source data to construct a 3D geological conceptual model; S2, statistically characterizing a one-dimensional transition probability matrix, calculating and fitting a spatial continuity and 3D anisotropic variability function model; S3, calculating the prior spatial probabilities and transition adjustment factors for various lithologies, obtaining the posterior lithology distribution of nodes through Bayesian intelligent updating, and initially assigning lithology categories to nodes through random sampling; S4, assigning the most probable lithology category to each grid node, calculating the variance of lithology values ​​across all implementations, and measuring model uncertainty; S5, outputting the optimal 3D uncertainty model for the tunnel; and S6, verification and evaluation. This invention can effectively achieve 3D heterogeneous modeling and explicit quantification of uncertainty under strong geological constraints.

The application provides a wireless charging system, method, external charging device and storage medium, including an implantable medical device and an external charging device for wireless energy transmission with the implantable medical device, the wireless charging system further includes a voice prompt module and a control module, the control module is configured to: control the external charging device to work in a scanning mode to obtain a charging efficiency local distribution map for a region where the implantable medical device is located; based on the charging efficiency local distribution map, determine at least one optimal charging target position, and generate user navigation instructions corresponding to the optimal charging target position; control the voice prompt module to broadcast the navigation instructions to guide the user to move the external charging device to the optimal charging target position, the scheme solves the problem that the user cannot determine the best charging position, thereby causing difficult alignment, low charging efficiency, and improves the alignment accuracy, energy transmission efficiency, operation safety and user operation convenience of wireless charging.

The application belongs to the technical field of artificial intelligence, and discloses a question and answer identification method and device, electronic equipment and readable storage medium, the method comprises the following steps: receiving a question and answer request for a target question; based on the question and answer request for the target question, a pre-trained question and answer model is used to determine the answer corresponding to the target question; wherein the question and answer model is a student model obtained based on a second sample data set and a teacher model, and the teacher model is constructed based on a first sample data set and a transformer-based bidirectional encoding representation model. In this way, when question and answer identification is performed, the response speed of question answering can be improved and resource consumption can be reduced.

The application relates to a ROV-based pressure-maintaining fixed-depth seawater in-situ measuring device and application thereof, and belongs to the technical field of seawater in-situ measurement. The pressure-maintaining fixed-depth seawater in-situ measuring device comprises a measuring cylinder, a gas sensor, an upper end cover driving assembly and a lower end cover driving assembly. The measuring cylinder comprises a cylinder body, an upper end cover and a lower end cover. The cylinder body is installed on an ROV, and the top end and the bottom end of the cylinder body are both provided in an open manner. The upper end cover is used for opening or closing the top end opening of the cylinder body, and the lower end cover is used for opening or closing the bottom end opening of the cylinder body. The gas sensor is arranged in a measuring cavity surrounded by the upper end cover, the lower end cover and the cylinder body. The upper end cover driving assembly and the lower end cover driving assembly are both connected to the control system of the ROV, so as to drive the upper end cover and the lower end cover to be synchronously opened or synchronously closed. The ROV-based pressure-maintaining fixed-depth seawater in-situ measuring device can realize in-situ measurement of seawater samples at different water depths, and can be used for measuring the balance time of the gas sensor under different water pressure environments.

This application relates to the field of copper wire drawing technology, and particularly to a method for compensating for the implicit resistance of guide wheels in copper wire drawing machines, and the copper wire drawing machine itself. The method includes: acquiring a tension signal and a set of rotational speed signals; calculating the dynamic friction coefficient of each first-type guide wheel using Fourier transform based on the tension signal, the set of rotational speed signals, and the wrap angle of each first-type guide wheel, obtaining a set of dynamic friction coefficients; determining the smooth friction coefficient of each first-type guide wheel based on the set of dynamic friction coefficients, obtaining a set of smooth friction coefficients; determining that compensation conditions are met, and determining tension compensation based on the set of smooth friction coefficients; determining feedforward compensation based on the tension compensation, and generating a compensation command based on the feedforward compensation; and controlling the output torque of the traction device based on the compensation command. This method achieves online identification and quantification of the friction state of key guide wheels, reduces tension control lag, and improves the real-time performance of tension control.

The invention relates to the technical field of fruit and vegetable cultivation, and provides a water chestnut fertilization influence analysis method based on principal component analysis, which comprises the following steps: setting a plurality of field trials for different nitrogen, phosphorus and potassium fertilization level treatment; measuring plant growth indexes, yield indexes, corm quality indexes and soil physicochemical property indexes of the treated water chestnuts; performing principal component analysis on the measured multiple indexes, and extracting principal components of which the characteristic values are greater than 1; calculating comprehensive scores of the processing according to the scores of the principal components and sorting the comprehensive scores; according to the comprehensive score, evaluating the comprehensive influence of different fertilization treatments on the growth, yield, quality and soil properties of the water chestnuts, and screening out an optimal fertilization combination. According to the method, the matching of medium-low nitrogen and phosphorus and medium-high potassium is clear, so that high yield and high quality are guaranteed, soil acidification can be effectively relieved, excessive consumption of nutrients is avoided, synergism of fertilizer saving, efficiency improvement, soil health and quality improvement is realized, and data support and quantitative decision basis are provided for scientific fertilization of the water chestnuts.

The present application relates to the technical field of traditional Chinese medicine preparation, and particularly relates to a method and system for optimizing a frying process of traditional Chinese medicine decoction pieces. Formula information and process requirements of target traditional Chinese medicine decoction pieces are obtained; a frying process scheme of similar traditional Chinese medicine decoction pieces is retrieved from a traditional Chinese medicine frying expert knowledge base; initial parameters are generated by fusing the frying process scheme; first-round frying is performed; process data are collected by a multi-modal sensor; adjustment suggestions are proposed by experts; parameter adjustment schemes are generated in combination with the expert suggestions and the process data; interactive optimization is performed for multiple rounds; and optimal frying process parameters are recorded and stored in the knowledge base. By constructing a formula information-driven knowledge retrieval mechanism, a multi-modal sensing monitoring system, a parameter adjustment strategy combining expert evaluation and data analysis, and an interactive iterative optimization framework, a closed-loop optimization system is formed, and technical problems such as difficulty in knowledge reuse, single process monitoring, lack of systematic support for parameter adjustment, and insufficient human-machine cooperation in traditional Chinese medicine frying processes are solved.

This disclosure presents an intelligent early warning method, apparatus, device, and medium for the erosion of refractory linings in high-temperature furnaces. One specific implementation of the method includes: an infrastructure layer acquiring initial furnace sensor information, initial furnace images, and initial point cloud information; a data resource layer performing data cleaning processing on the initial furnace sensor information, initial furnace images, and initial point cloud information to generate furnace sensor information, furnace images, and point cloud information; a model processing layer performing 3D construction processing on the furnace images and point cloud information to generate a 3D model of the furnace; an intelligent perception layer performing erosion identification processing on the furnace sensor information and the 3D model of the furnace to generate erosion information; an application layer determining early warning information; and a business presentation layer sending the early warning information to a management terminal. This implementation relates to the field of intelligent erosion early warning, realizing the quantification, visualization, and predictive management of the erosion state of furnace linings, and enabling timely detection of safety hazards through early warning.

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 application discloses a kind of pure natural royal jelly freeze-dried powder detection methods, it is related to quality detection technical field, the method includes the following steps: collecting the multi-dimensional original data of royal jelly freeze-dried powder, data is handled to generate data matrix, from data matrix extraction key feature index set, to index set is analyzed and evaluated to generate authenticity score, generate digital detection report and quality spectrum, based on detection result is continuously optimized.The application, by fusing near-infrared spectrum, microscopic image, physicochemical activity and block chain traceability and other multi-source heterogeneous data, intelligent evaluation is carried out using knowledge graph and lightweight multi-modal network, realizes the multi-dimensional, high-precision analysis of the pure nature, naturalness and adulteration of royal jelly freeze-dried powder.

This invention discloses a calibration system and method for extremely weak light radiance based on a cascaded integrating sphere, belonging to the field of optical radiation metrology and photoelectric detection technology. The system includes a first integrating sphere, an aperture tube, and a second integrating sphere. The aperture tube achieves large dynamic range light intensity adjustment through geometric attenuation. The second integrating sphere connects both a reference detector and a high-sensitivity detector to be calibrated, enabling online calibration and dynamic range bridging under the same radiance field. By adjusting the aperture, the light flux distribution is controlled, allowing the measurement ranges of the two types of detectors to overlap. This is used to perform correction processing related to non-ideal effects of single-photon detectors and high-precision measurement of extremely weak light radiance. This invention features a compact structure, stable and reproducible attenuation, and is suitable for weak light calibration and linearity testing in fields such as quantum optics and nighttime remote sensing.

This invention discloses a classroom interaction quality assessment and teaching reflection system based on voice emotion recognition, belonging to the field of educational informatization technology. It includes a voice data acquisition module, a voice data preprocessing module, a voice emotion recognition module, a voice data segmentation module, an interaction depth quantification module, a classroom interaction quality index calculation module, an early warning signal generation module, and a teaching reflection auxiliary module. This invention constructs a multi-level classroom interaction quality assessment system. Through the identification of teaching links and a dynamic weight adjustment mechanism, it significantly improves the scientific nature of the assessment. Based on the current interaction state, it predicts future quality change trends and combines a dual-indicator early warning mechanism of declining slope and minimum point to support teachers in timely adjustments to teaching strategies during class. It also introduces counterfactual reasoning technology to conduct multi-dimensional causal contribution analysis of weak teaching links, improving the scientific nature and operability of reflection.

The utility model provides a conical head processing device convenient to position relates to mechanical equipment technical field, including top support, install upper die on top support, be equipped with lower die under the upper die, the lower die is installed on the bottom support, the utility model discloses a positioning mechanism and the support mechanism constitute the pure mechanical linkage mechanism that designs, will simple manual dial -in input precision is converted into the synchronous straight line of multiple positioning points and pushes the action, has realized to the conical head steel sheet quick, accurate and reliable centering positioning, has greatly promoted the precision and efficiency of subsequent punch forming.

This invention belongs to the field of engine turbocharger testing technology and discloses a method and system for evaluating the transient response of engine turbochargers. The method includes: test preparation, operating condition setting, transient excitation and data acquisition, calculation of speed increment time, calculation of intake pressure to establish efficiency indicators, and two-dimensional diagnostic evaluation. This invention effectively solves the technical problem that existing evaluation parameters cannot distinguish the root cause of response lag, and has advantages such as accurate positioning and strong guidance. It is particularly suitable for the research and optimization of turbocharger systems with stringent transient response requirements, such as hydrogen fuel cell internal combustion engines.

The present application relates to a kind of corn plant trait classification method based on image processing, belong to corn phenotype analysis technical field.The method includes: obtaining the candidate frame of original corn plant image and cutting into ROI image;Carry out key point detection and connection, the key point where corn plant position is located is as upper anchor point and is segmented;Extract the upper segment of central axis and generate the local image of surrounding line, then carry out three-stage clustering, obtain final color gamut chart;Calculate the included angle between the lower segment of main stem and lateral branch segment;Left lateral branch stem, main stem and right lateral branch stem are defined as left-middle-right three segments continuous joint line segment, zigzag determination is carried out;The final color gamut chart, the calculation result of included angle and the result of zigzag determination are classified by preset classification standard, and the trait classification result of the corn plant is obtained.The present application aims to solve the technical problems that the prior art has insufficient structure priori, the color gamut is disturbed by background / near gray and dark green, and there is no unified reference system for geometric quantization.

The application relates to an image recognition-based intelligent inspection method and system for urban barrier-free facilities, and relates to the technical field of image recognition, which comprises the following steps: acquiring a time-series inspection image sequence in a plurality of continuous inspection periods; outputting a defect recognition result by using a pre-trained defect change tracking model, analyzing a diffusion trend, and calculating a deterioration rate; inputting a surrounding image into a scene occupation evaluation model to obtain a natural elimination probability evaluation value; calculating an emergency treatment priority index based on the deterioration rate and the elimination probability, and generating a maintenance work order with a differentiated treatment sequence according to the emergency treatment priority index. The application solves the technical problem that a traditional barrier-free facility inspection strategy may cause the maintenance resource allocation to deviate from the actual situation.

The application discloses a kind of quantitative evaluation methods of tea curl degree grade, comprising the following steps: S1, create the objective evaluation method of the curl degree grade of the measured tea sample, obtain the curl degree objective evaluation standard of the measured tea sample;S2, tea does not overlap each other, obtain the clear image of the front of tea without shadow;S3, using python programming, adopt the edge detection and skeleton detection algorithm in OpenCV library to identify all target tea, and create the measurement method of tea curl degree;S4, using the curl degree objective evaluation standard of the measured tea sample established in early stage, the grading of each tea leaf is carried out "curl like screw, curl, still curl, bending";S5, the proportion of curl like screw, curl, still curl, bending tea in tea sample and the mean of curl degree are obtained.The application defines the measurement method of tea curl degree, establishes an objective evaluation method of tea curl degree grade, can realize the digital evaluation of the curl degree of a kind of tea, so that evaluation is more objective and more accurate.

The embodiment of the application relates to the technical field of data interaction of a variable pitch controller, and provides a variable pitch controller data interaction method and system based on redundant communication, wherein a service quality index set and a payload of each redundant channel of the variable pitch controller are acquired and quantified in real time, a dynamic and scene-adaptive link comprehensive health degree score is obtained based on the service quality index set and the payload, accurate health degree scores of the channels are obtained, adaptive interaction strategy decision is made in combination with the dynamic health degree scores, and finally the optimal payload is generated as a final payload, accurate identification and quantification of a simulation performance state of the variable pitch controller communication link from perfect to degradation to failure are realized, more intelligent and more fine data interaction decisions can be made, and therefore the robustness of a variable pitch control system of a wind turbine is significantly improved.

The application discloses a bridge operation modal analysis method based on structural dynamics and Gaussian process fusion, and can be used for bridge structure health monitoring. Acceleration sensors are arranged at key positions of the bridge to collect vibration responses in an operation state; mode force power spectral densities of each mode are extracted through frequency domain analysis as external excitation strength indexes. The indexes are taken as Gaussian process inputs and hidden variables are introduced to quantize influences of excitation changes on natural frequencies, damping ratios and vibration modes; an expectation-maximization algorithm is used to iteratively identify structural dynamics parameters and Gaussian process hyperparameters. Finally, the bridge modal parameters after excitation disturbances such as wind and vehicle flow are removed and the hyperparameters representing working conditions are obtained, and long-term tracking, evaluation and prediction of the bridge structure health are realized.

This invention relates to the field of lithium battery manufacturing technology and discloses a deep learning-based method for energy tracking compensation of lithium battery laser cutting trajectory. This method acquires target trajectory data and operating condition feature data, extracts multi-dimensional features to form a comprehensive feature vector, predicts trajectory deviation, generates a composite compensation amount, corrects control commands in real time, and collects feedback data for adaptive updates. This invention can effectively reduce electrode cutting accuracy errors, improve battery production consistency, and reduce scrap rates.

The invention provides an earthquake monitoring station surrounding environment abnormal change identification method and system based on an unmanned aerial vehicle image, and the method comprises the steps: collecting a time sequence image of a region of interest of an earthquake monitoring station through employing a preset unmanned aerial vehicle cruise line; preprocessing and registering the time sequence image to obtain a preprocessed time sequence image; performing time sequence feature extraction on the preprocessed time sequence image by using a multi-scale time sequence feature pyramid to obtain multi-scale time sequence features; based on the multi-scale time sequence features, a mixed anomaly detection engine is adopted to carry out environment anomaly change detection, an anomaly score graph is obtained, and an anomaly region is positioned; and calculating the change area, the change type and the change intensity of the abnormal region, and generating an abnormal identification report and an influence level on the seismic observation data quality. According to the invention, intelligentization, quantification and operation of monitoring work are realized, and the method has important practical significance and wide popularization value for guaranteeing seismic observation data quality and maintaining station observation environment.

The invention relates to the technical field of image processing, in particular to an automatic inspection method and system for concrete dam cracks. According to the method, visible light and multispectral images of a dam are synchronously obtained through an unmanned aerial vehicle, a crack topology network diagram is constructed based on the visible light images, and hydrological change features are extracted based on the multispectral images; extending a section for each pixel point in the crack topology network diagram, analyzing the distribution of hydrological change characteristics in the section, calculating the seepage activity confidence coefficient of each crack, performing risk grade division and generating a concrete dam crack grade division diagram, thereby overcoming the defect that the prior art lacks the ability to analyze the seepage state of the crack, and improving the reliability of the concrete dam crack grade division diagram. Accurate diagnosis and risk assessment of fracture seepage activity are realized.