21results about How to "Effective evaluation" patented technology

The invention discloses a multi-modal ultrasonic image recognition method and device, which effectively combines an ultrasonic image and a corresponding task text, and improves the recognition precision of the ultrasonic image by utilizing the interaction of visual information and language information. By preprocessing the ultrasonic image and the task text and generating a visual Token sequence and a language Token sequence, data of different modalities can be effectively fused to generate a multi-modal sequence. The sequences are subjected to context interactive fusion of a multi-head attention model to obtain a multi-modal embedded representation containing visual and language information, so that the model can accurately analyze a task instruction while understanding the image content, and the recognition accuracy is improved. And furthermore, through selection and weighted fusion of dynamic experts and in combination with background knowledge provided by static experts, the processing capability of the model is improved. And finally, the output result is adjusted and optimized by using the fusion control parameters, so that the efficiency and the accuracy of ultrasonic image recognition are improved.

The application discloses a method for analyzing the interaction of multiple grid-connected inverters based on matrix norm theory, and aims at the interaction between grid-connected inverters, takes a power distribution system containing two grid-connected inverters as an analysis object, establishes an equivalent grid-connected model containing two inverters based on the Norton theorem, derives a transfer function matrix of a control system, and quantitatively analyzes the relationship between the interaction between inverters and the system frequency, equivalent grid-connected inductance and controller combination mode based on the spectral norm and condition number of the transfer function matrix, so as to provide a reference for the coordinated control of the inverters. A simulation model is built in Matlab / Simulink for analysis. The application provides a simple and effective method for analyzing the interaction of inverters, and provides a theoretical method for the coordinated control of the inverters.

The invention discloses a method and system for detecting the internal quality of a polyethylene pipeline hot-melt welding joint, and belongs to the technical field of pipeline quality detection.The method comprises the following steps that before a tensile test is carried out, ultrasonic quality detection is carried out on a casual inspection joint of a polyethylene pipeline set to be detected; dynamically determining an initial tensile rate based on the material grade and the material attribute parameter of the to-be-tested polyethylene pipeline group, and executing a first tensile test at the initial tensile rate; iteratively and dynamically adjusting the tensile rate of the tensile test of the next casual inspection joint based on the tensile test result of the previous casual inspection joint until the tensile test of each casual inspection joint is completed; dynamically executing fracture quality detection based on the fracture position and the fracture characteristic parameter of each spot check joint to obtain a fracture quality detection result of each first joint; and executing internal quality comprehensive detection based on the ultrasonic quality detection result, the fracture quality detection result and the tensile test result of each first joint.

The application relates to the technical field of retrieval enhancement generation evaluation, and provides a retrieval enhancement evaluation method and device based on multi-round dialogue context perception, which comprises the following steps: a first large language model is constructed; the first large language model is used for question rewriting according to a question and context; historical multi-round question and answer data of real users is extracted; a multi-round evaluation set is generated based on the historical multi-round question and answer data, a knowledge base document, a second large language model and a RAG system; the second large language model is used for summarizing a business classification, a question type and an interaction paradigm of each multi-round question and answer; the first large language model is used for converting the multi-round evaluation set into a single-round question set; and the RAG system is evaluated by using evaluation indexes, the multi-round evaluation set and the single-round question set. The application realizes automatic generation of the multi-round evaluation set, reduces the manual labeling cost, reduces the construction difficulty of the multi-round evaluation set, and realizes evaluation of the multi-round dialogue RAG task.

The invention provides a space target balance mode intelligent discrimination method and apparatus. The method comprises the steps of obtaining an inverse synthetic aperture radar image data set and performing preprocessing; constructing a convolutional neural network and long short-term memory network fusion model, wherein the fusion model comprises a feature extraction module, a time sequence modeling module and a classification module; training the fusion model based on the preprocessed inverse synthetic aperture radar image data set; an inverse synthetic aperture radar image to be recognized is preprocessed and then input into the trained fusion model, and the fusion model outputs a balance mode judgment result corresponding to the inverse synthetic aperture radar image. According to the invention, balance mode discrimination is carried out through the constructed convolutional neural network and long and short-term memory network fusion model, so that the recognition precision and robustness can be improved; and the fusion model is trained by using the preprocessed inverse synthetic aperture radar image data set, so that the fusion model can realize efficient and accurate balance state evaluation in a complex scene.

The invention belongs to the technical field of lithium batteries, and particularly relates to a module structure reliability checking method for cell expansion. Comprising the following steps: S101, acquiring cyclic expansion force data of a battery cell group; s102, processing the cyclic expansion force data and extracting characteristic values in sections; s103, establishing a simulation model and calculating an initial state; s104, calculating the stress state of the module in stages; and S105, calculating and checking fatigue damage. According to the method, the expansion force change curve under the real working condition is obtained by implementing the multi-cell cyclic expansion experiment, the maximum expansion force and the minimum expansion force are extracted in a segmented mode based on the curve, and the fatigue damage accumulated value of the structural part under the alternating load is calculated in a segmented mode in combination with the simulation model. Therefore, accurate and efficient checking of the structural reliability of the battery module in the whole life cycle is realized.

A kind of tunnel laser point cloud generates lining inner surface image method, comprising: obtaining point cloud data;Splicing forms complete tunnel point cloud;Obtain segmented point cloud;Manual denoising;Load segmented point cloud data, and carry out the downsampling of point cloud data;Point cloud data is projected on plane;Automatic denoising;Extract the contour boundary of two-dimensional plane tunnel point cloud;Determine side wall line point set and caliber line point set;Two side wall line point sets determined are respectively moved mean value smoothing operation;The average width between two side wall lines is calculated;Obtain the central axis point set of tunnel;Obtain central axis;With central axis as reference, carry out two-dimensional image development.The present application can quickly process large-scale tunnel point cloud, generate fine tunnel lining inner surface image, be suitable for medium-length tunnel, super-long tunnel and curved tunnel, provide new method for tunnel lining inner surface image generation, so that tunnel lining apparent disease detection and evaluation are more efficient, convenient, accurate.

The embodiment of the invention provides a denitration catalyst service life evaluation method, device and equipment. The method comprises the following steps: acquiring current operation parameters of the denitration system; according to the current operation parameters of the denitration system, the flue gas flow entering the denitration system is corrected, and the corrected flue gas flow is obtained; calculating the surface velocity of a denitration catalyst of the denitration system according to the corrected flue gas flow; calculating the dynamic decay time of the denitration catalyst in unit time according to the surface velocity; and evaluating the service life of the denitration catalyst according to the dynamic decay time in the unit time. In this way, the service life of the denitration catalyst can be efficiently, rapidly and accurately evaluated through the current operation parameters of the denitration system, and it is avoided that the service life of the denitration catalyst needs to be evaluated according to human experience.

The invention discloses a contact surface roughness prediction method based on a three-section attenuation function. The method comprises the following steps: step 1, measuring relay contact roughness of different action times under a rated working condition and a double rated overload working condition; 2, predicting a contact surface roughness change rule under a rated condition and a double rated overload condition by using a three-section attenuation function, and obtaining a contact roughness prediction calculation model under a rated state and a double rated overload state; and step 3, fitting the contact surface roughness change condition of the working conditions between the rated working condition and the double-rated overload working condition by using the rated working condition and the double-rated overload working condition to obtain a contact roughness prediction calculation model in other load states. According to the method, the change degree of the surface roughness of the contact under a certain working condition can be accurately predicted based on measured data, and the change of the surface roughness of the contact between a rated state and a double-rated overload state and between the rated state and the double-rated overload state can be obtained through fitting, so that the contact performance and the contact resistance of the contact can be more efficiently evaluated.

This invention discloses a method and apparatus for testing the defense capabilities of a Web Application Firewall (WAF) based on protocol parsing differences, relating to the field of network security technology. The method constructs protocol mutation verification test cases, generates mutation test messages containing non-standard protocol features and verification payloads, and sends them to the backend via both the test link and the baseline link. By comparing the response fingerprint with the expected result, it accurately determines whether the WAF is in a state of successful interception, bypassed, or repaired and bypassed. This invention enables a comprehensive and automated evaluation of the WAF's protocol-layer defense capabilities.

The application discloses a driver behavior quick recognition method, which comprises the following steps: sending a to-be-recognized image to a PS end; processing the to-be-recognized image by the PS end using a trained recognition network and combining prior frame information of the trained recognition network, and sending a convolution processing task or a pooling processing task encountered currently to a PL end to assist the PL end in processing during the processing; executing the processing task sent by the PS end by the PL end and sending a calculation result obtained by the PL end to the PS end; continuing the processing by the PS end according to the calculation result, continuously sending a convolution processing task or a pooling processing task newly encountered to the PL end to assist the PL end in processing, and obtaining a three-dimensional processing result of the to-be-recognized image by the PS end; and performing non-maximum suppression processing on the three-dimensional processing result after decoding processing to obtain a recognition result of the to-be-recognized image. The application has the advantages of fast recognition speed, easy deployment, wide application range and low power consumption.

This invention relates to the field of blockchain and supply chain finance risk control technology, specifically to an AI smart contract risk assessment method for supply chain finance. The method includes: collecting multi-source circulation status data and external intervention signals from the supply chain finance network within a preset time window; fusing time-series features to obtain a node behavior feature sequence; inputting this sequence into a dynamic graph neural network model to output network state trust entropy; and calculating the probability distance between the network state trust entropy and the trust entropy distribution that triggers a cascading blocking event in the smart contract as a critical distance; based on the network state trust entropy and critical distance, calculating the system survival probability index and circulation efficiency index using a dynamic risk hedging model to determine the comprehensive risk assessment state and locate the target node; and triggering a smart contract based on the comprehensive risk assessment state to perform rigid resource recovery or flexible resource compensation on the target node, thereby achieving trust reconstruction. This invention achieves efficient early warning and accurate network-level assessment of cascading blocking events in the capital chain.

A concrete test piece testing device for axial load and freeze-thaw cycle coupling comprises a constant-temperature and constant-humidity box machine internally provided with a concrete load holding device, the concrete load holding device comprises a third base plate, the top of the third base plate is fixedly connected with a spiral column, the spiral column penetrates through a first base plate and is fastened at the top of the first base plate through a nut, and the top of the first base plate is fixedly connected with a second base plate. A concrete test piece to be tested is placed between the third base plate and the first base plate, a second base plate parallel to the third base plate and the first base plate is arranged above the concrete test piece, and a pressure sensor is arranged between the second base plate and the first base plate; a temperature sensor is arranged in the concrete test piece; a telescopic rod is installed on the spiral column in the horizontal direction, and the other end of the telescopic rod is connected with an acoustic emission probe used for being attached to a concrete test piece. The problems that the size of an existing applied load is limited by a spring device, and the pressure change, the change of the internal temperature of a test piece and the real-time damage change cannot be monitored in the test process are solved.

The invention discloses a multi-element exploration and prediction method for hydrothermal cobalt ore. The method comprises the following steps: firstly, under the guidance of a regional metallogenic theory, delineating a cobalt ore prospecting prospecting area and a prospecting target area by integrating geological, geophysical prospecting and chemical prospecting data; secondly, performing large-scale geological mapping and remote sensing interpretation in the prospecting target area to identify structure and alteration marks, and delineating geophysical and geochemical exploration anomalies by using high-precision magnetic survey, induced polarization profiles and soil geochemical profiles; then, aiming at a geophysical and geochemical exploration abnormal part, a lithologic interface and a structural development part, utilizing a scribed line investigation sample to quickly position a mineralization favorable part, and utilizing groove exploration to carry out shallow earth surface control; then, the form, scale and resource potential of the deep ore body are verified through drilling engineering; and finally, establishing a prospecting prediction model by taking the target region with the outstanding prospecting effect as a model region, and guiding peripheral prediction. The method has the advantages of being convenient, environmentally friendly, remarkable in prospecting efficiency and the like, the purpose of rapidly recognizing the ore-bearing position of the cobalt ore is achieved, and a good cobalt ore prospecting effect is achieved in the East Kunlun inflator River region.

The invention discloses a light intensity sensing type impedance training real-time quantitative evaluation intelligent elastic band system, which comprises a resistance-light intensity sensing module and an elastic band penetrating through the resistance-light intensity sensing module, and is characterized in that the resistance-light intensity sensing module comprises a shell and an elasticity quantitative evaluation mechanism which is positioned in the shell and is used for monitoring the elasticity of the elastic band; wherein the elasticity quantitative evaluation mechanism realizes light intensity type resistance quantitative monitoring of the elastic band, the shell comprises a top cover and a bottom cover, the top cover is located at the upper end position of the elasticity quantitative evaluation mechanism, and the bottom cover is located at the lower end position of the elasticity quantitative evaluation mechanism. The resistance and acting conditions of the elastic band can be accurately, conveniently and continuously monitored, meanwhile, it is guaranteed that the flexibility of the elastic band is not affected, it is guaranteed that various training actions are smoothly carried out, in this way, the impedance training evaluation process is more efficient and flexible, and the evaluation convenience and real-time performance are greatly improved.

The invention discloses a pathogenic gene prediction method and device based on phenotypic fingerprints, equipment and a medium. The method is executed by a computer, systematic integration and quantification are carried out on associated information between genes and phenotypes of multiple dimensions, phenotype fingerprints with specific genes are constructed on the group level, and complex effects of the genes on different phenotype dimensions can be captured more comprehensively; a multi-phenotype score value taking genes as the center is calculated through gene phenotype fingerprints, that is, multi-dimensional clinical phenotype information of a target object is converted into quantitative scores taking the genes as the center on the object level, and two types of key output of pathogenic variation carrying risk assessment and candidate gene priority ranking are achieved through observation phenotypes of the target object; and the integrating degree of each candidate gene and the actual phenotype of the target object can be objectively and efficiently evaluated. According to the method, phenotype fingerprints are introduced, a multi-phenotype scoring mechanism is combined, the efficiency and objectivity of complex disease pathogenic gene recognition are remarkably improved, and the method has important clinical application value.

This invention discloses a load cell, method, and electronic device for testing vehicle controllers. The load cell includes: a communication device for acquiring test requirement information and hardware parameter information of the vehicle controller to be load tested; a test environment simulation device connected to the communication device for constructing a simulated environment for load testing of the vehicle controller based on the test requirement information and hardware parameter information; an information acquisition device connected to the vehicle controller for acquiring operational status information generated by the vehicle controller during operation in the simulated environment; and a controller connected to the information acquisition device for performing load testing on the vehicle controller based on the operational status information. This invention solves the technical problem of low efficiency in load testing of vehicle controllers in related technologies.

This invention discloses a method for evaluating the correction quality of a large-view-rate surface adaptive optics system. The method includes: proposing a correction quality evaluation factor and evaluation criteria for the performance of the surface adaptive optics system based on this factor. The evaluation process involves: determining contribution weight factors based on scientific needs; evaluating the correction quality of the large-view-rate surface adaptive optics system around system parameters using the correction quality evaluation factor; identifying the optimal system configuration corresponding to the smallest correction quality evaluation factor, with its optimization parameter tolerance range not exceeding 1.01 times numerically; and prioritizing system configurations with simpler structures when system performance is similar (correction quality evaluation factor numerical difference less than 1%). This invention can flexibly and effectively guide the design and optimization of large-view-rate surface adaptive optics systems, thereby providing more reliable images for solar magnetic field research.

The present application belongs to the technical field of geological exploration and development, and provides a method and device for characterizing core dispersion velocity, a storage medium and an electronic device. The method can obtain a gas analysis data curve representing the relationship between each sampling time and the corresponding cumulative analysis gas volume by curve fitting of the metering data of the gas analysis test of each target position of the core sample, and then determine the initial dispersion velocity and the average dispersion velocity of the current target position based on the gas analysis data curve and the mass of the core sample. The initial dispersion velocity and the average dispersion velocity can truly reflect the shale reservoir condition, and the shale reservoir can be accurately evaluated.

The invention belongs to the technical field of three-dimensional uranium mine geological resource prediction research, and particularly relates to a granite type uranium mine prediction method based on a digital model, which comprises the following steps: S1, constructing a three-dimensional digital geological model of a research area; s2, dividing prediction units, establishing a three-dimensional block model of a research area, and establishing an attribute model of each ore control element for metallogenic prediction; s3, according to the three-dimensional block model of the research area, uranium metallogenic favorable information is extracted; s4, statistical analysis and assignment are carried out on uranium metallogenic favorable information; s5, comprehensive metallogenic prediction is carried out through an evidence weight method and an information amount method; and S6, delineating a uranium metallogenic prospective area and estimating the resource quantity to realize three-dimensional quantitative prediction of the granite type uranium mine. The method can efficiently, quickly and objectively evaluate the uranium mineralization potential of a region.

The application discloses a detection reagent and a detection method for fermentation power and acid production capacity of Daqu, and relates to the technical field of analysis and detection. The detection reagent comprises a sugar composition and an acid. The sugar composition is composed of glucose, maltose and sucrose, and the mass ratio of the glucose, the maltose and the sucrose is (4-18):(1-5):(0.1-1). The acid is at least one selected from acetic acid and lactic acid. The detection reagent of the application comprises glucose, maltose, sucrose and acid, and the acid is at least one selected from acetic acid and lactic acid. The application simplifies the components of the detection reagent, has the advantages of safe components, controllable safety, strong applicability and wide coverage, and makes the evaluation of the fermentation power and the acid production capacity of Daqu more accurate and efficient.