104results about How to "Realize analysis" patented technology

This application provides a method, system, medium, and equipment for detecting thermal hazards in tunnels, relating to the field of tunnel safety detection. The method includes: acquiring geological feature data of the target tunnel; identifying a group of thermal hazard parameters with a correlation greater than a set threshold; setting a quantitative scoring range based on this; using the analytic hierarchy process (AHP) to assign weights and calculate hazard scores; then, combining relevant data to establish a dataset and training a lightweight gradient boosting model; finally, inputting data from an unexcavated tunnel section into the model to output the thermal hazard level. This application, by acquiring geological feature data, can accurately understand the environment, screen key parameters to eliminate redundancy, quantify parameters, and rationally allocate weights to ensure objective and accurate scores. It enables tunnel thermal hazard detection and early warning, providing guidance for prevention and control, reducing impact, and is of great significance to tunnel engineering.

The present application relates to the technical field of power system stability control simulation analysis, and provides a transient simulation analysis and decision method, device and equipment for power grid harmonic oscillation, which comprises the following steps: combining the model and model parameters of electromagnetic transient offline simulation with the topology of the power grid to be analyzed to obtain an electromagnetic transient example, and then describing the calculation process of electromagnetic transient with a hierarchical directed acyclic graph, and taking each calculation model with redistributed resources as the electromagnetic transient algorithm; performing risk analysis on the harmonic oscillation condition according to the simulation result, and making an optimized decision on the harmonic oscillation suppression measures; through example design and electromagnetic transient algorithm design, an electromagnetic online simulation model is constructed to meet the simulation requirements of large power grids and realize the analysis and suppression decision of harmonic oscillation.

This invention provides a method for analyzing assembly deviations in ultra-large structures with non-uniform stiffness condensation, comprising the following steps: S1: dividing the ultra-large structure into a plastic region and an ultra-large stiffened elastic region; S2: constructing a model for the non-uniform stiffness condensation of ultra-large structures suitable for the network-like concentrated distribution characteristics of assembly deviations; S3: establishing an overall stiffness model of the ultra-large structure described by the weld region and its interface; S4: considering the influence of welding deformation during the welding process, introducing a welding stress field, and establishing a welding deviation analysis model based on the deformation coordination relationship before and after assembly in the plastic region; solving for the welding deviations of the ultra-large structure, thereby realizing the prediction and analysis of assembly deviations in ultra-large stiffened structures. This invention's method for analyzing assembly deviations in ultra-large structures with non-uniform stiffness condensation enables the prediction and analysis of assembly deviations in ultra-large structures with overall flexibility and local rigidity, providing a theoretical basis for compensation and control of assembly deviations in ultra-large structures, and improving product assembly quality.

This invention belongs to the field of conveying equipment technology, specifically disclosing a conveying device and method for egg supply, including a conveyor belt machine, a chamber, and a blower. The conveyor belt machine's external belt consists of three sets of circular tracks that wrap around the conveyor belt machine. The circular tracks have notches spaced evenly along their circular paths. The chamber is fixedly installed above the conveyor belt machine and near its center. A ventilation component is installed above the chamber. A U-shaped frame is fixedly mounted above the conveyor belt machine and below the ventilation component. A crack visual detection marking component is installed above the U-shaped frame and corresponding to each circular track. This invention integrates wiping, flipping, drying, visual detection, and marking functions, enabling online identification and marking of cracked eggs produced after cleaning. This effectively prevents cracked eggs from being mixed with qualified products, significantly improving the overall quality and automation level of egg supply.

This invention provides an apparatus, system, and method for analyzing altered carbonate carbon isotopes. The apparatus includes: an enrichment component comprising at least one enrichment tube having an enrichment section; and a freezing component comprising a container filled with a refrigerant. The enrichment section is completely immersed in the refrigerant to freeze the target gas generated by sample decomposition within the enrichment section to a target concentration. Based on the technical solution of this invention, analysis of low-content altered carbonate carbon isotopes can be achieved; it can also simultaneously acquire multiple sets of samples required for altered carbonate carbon isotope analysis, saving time for detecting large quantities of altered carbonate carbon isotopes. Furthermore, the operation is simple, reducing analytical costs and providing a reliable technical means for the application of geochemical exploration technology.

The application discloses a kind of multi-functional gas component concentration monitoring sensors in tunnel and use method, belong to road construction technical field.The application includes white laser emitter, 90° prism, beam splitter, dust cleaner, dispersion prism, 180° prism, dispersion light intensity detector, phase interference range finding device, data processing and sending device and guide rail.The application solves the problem that the function of the existing monitoring sensor in tunnel is single, and the cost is higher and the monitoring efficiency is lower by relying on multiple single-function sensors for monitoring;The application significantly improves the monitoring accuracy of the concentration of various gas components by full-spectrum coverage and double-data comparison to average, breaks through the limitations of traditional single-function sensors, without multiple sensor devices in parallel, significantly reduces the overall operating cost, improves monitoring efficiency.

The invention discloses a DDS (Direct Digital Synthesizer) configuration tool based on a modular hierarchical configuration strategy, which is characterized in that a configuration management module is responsible for receiving and managing an interface control file, software process information and equipment information, and generating a DDS configuration project and network topology and equipment communication configuration information; the check and evaluation module generates a QOS strategy matching check result according to the DDS configuration project, the network topology and the equipment communication configuration information generated by the configuration management module, and calculates the total network flow of data transmitted by each topology edge; and after receiving the modularized QOS configuration template information, the hierarchical configuration module generates a corresponding DDS theme configuration file and a QOS configuration file according to the DDS configuration project generated by the configuration management module and the DDS publishing subscription relationship list generated by the verification and evaluation module. According to the invention, the modularized hierarchical configuration of the DDS is realized, so that the combination and unified management of the publishing and subscribing mechanism, the QOS mechanism, the ICD and the data are realized.

The application belongs to the technical field of payment security, and provides an import and export cross-border payment chain supervision method based on a dynamic graph, comprising: payment knowledge graph construction, payment node portrait construction, initial graph risk data acquisition, influence diffusion processing, FinBERT model identification, decision generation and execution; the application upgrades the risk monitoring of cross-border payment from single node monitoring to risk tracking of the whole link and correlation by building a cross-border payment exclusive knowledge graph, adding an influence diffusion processing mechanism and combining a large language model; and the application realizes dynamic and scenario-based grading of cross-border payment risks by calculating the risk value and risk level interval boundary of the node and the payment chain, so that the grading can accurately adapt to the dynamic risk changes of cross-border payment and fit the scenario differences of different nodes and payment chains.

This invention relates to the field of natural language processing technology, and more particularly to a method and system for language transfer recognition based on cultural semantic embedding. The method includes the following steps: acquiring source language data and target language data; performing semantic isomorphic centering on the source and target language data to obtain semantically equivalent data; decoupling pragmatic features based on the semantically equivalent data to obtain pragmatic feature data; performing contrastive cultural latent space embedding based on the pragmatic feature data to obtain bilateral cultural representation data; performing cultural modality affine transformation based on the bilateral cultural representation data to obtain cultural difference data; performing implicit distortion pattern discrimination based on the cultural difference data to obtain cultural semantic distortion data; and generating transfer results based on the cultural semantic distortion data to obtain language transfer result data. This invention decouples pragmatic features under semantic equivalence constraints and achieves language transfer recognition through cultural semantic embedding and modality affine modeling.

The present application relates to a kind of civil aviation flight situation real-time perception and display method and system based on multimodal fusion, the system includes: data acquisition module, data synchronization processing module, model training module, real-time data acquisition module, model inference module, deviation calculation module, situation analysis module and fusion display module.System by obtaining aircraft historical flight attitude data and pilot perception data and time alignment and sampling synchronization, construct aircraft state feature and pilot state feature, and train aircraft-pilot correlation model according to this to determine theoretical perception threshold interval.In flight, by real-time acquisition aircraft attitude data and pilot perception data, calculate perception deviation vector, and combine aircraft actual attitude change rate with the expected attitude change rate obtained from operation behavior calculation to generate flight situation analysis result, finally with current aircraft attitude data fusion display.

The application relates to an international public opinion event information dissemination and control system based on artificial intelligence, and relates to the field of social communication science. The system can monitor, identify, analyze, track and effectively control the information dissemination in international public opinion events in real time. The system uses natural language processing (NLP), machine learning (ML), deep learning (DL) and other artificial intelligence technologies to deeply mine and understand massive cross-language and cross-platform data, thereby realizing accurate identification of public opinion events, intelligent analysis of dissemination paths, early warning and intervention of negative information, and guidance and amplification of positive information. The system aims to improve the control efficiency and accuracy of international public opinion events, maintain social stability, and provide decision support and action basis for relevant departments.

The application discloses a tunnel construction process automatic monitoring method, and belongs to the technical field of tunnel engineering construction monitoring. The method comprises the following steps: step 1, automatic monitoring equipment is arranged at key positions of a tunnel opening area, an advanced support section, an excavation face, an initial support structure, a waterproof layer construction area and a secondary lining structure; step 2, each automatic monitoring equipment is started, and monitoring data is collected at a preset sampling frequency; step 3, after receiving the monitoring data, a central monitoring platform uses a big data analysis algorithm to deeply process the monitoring data; and step 4, the central monitoring platform feeds back monitoring results and early warning information after analysis to a tunnel construction control system in real time. The application realizes real-time data acquisition and analysis through 5G technology, especially the UWB positioning system collects data once per second, realizes instant acquisition and analysis of monitoring data, and compared with traditional manual monitoring, the data update frequency is improved by tens of times, and abnormal conditions in the construction process can be found in time.

The invention discloses a high and large building foundation settlement monitoring system, and belongs to the technical field of foundation monitoring, and the system comprises a data collection subsystem which is used for collecting foundation image data of a building through a depth camera; the data processing subsystem is used for processing the foundation image data of the building to obtain processed image data; the calculation subsystem is used for constructing a convolutional neural network model, calculating and processing the feature difference of pixel points in the image data based on the convolutional neural network model, and obtaining the distance difference value of the pixel points at the same position; and the monitoring subsystem is used for calculating the distance difference value of the pixel points at the same position to obtain continuous foundation settlement deformation monitoring data. According to the system for monitoring the foundation settlement based on the convolutional neural network, automatic detection and analysis of the foundation settlement can be realized. Compared with a traditional manual measurement method, the efficiency can be remarkably improved through automation.

The application provides a kind of based on energy-preserving matrix perturbation method's tension integral module dynamic behavior analysis, and the existing modeling method for tension integral structure is different from the method that rope and bar are simulated as not bending stiffness bar or both are regarded as beam, the method is based on energy-preserving matrix perturbation method, string element is used to model rope, and the actual vibration condition of structure can be reflected.Taking three-bar tension integral structure module unit as an example, first, the dynamic stiffness matrix with prestress is established for the rope and bar in the structure respectively;Then the W-W algorithm is used to solve the established dynamic stiffness matrix, and the structure frequency is obtained;Finally, the structure response is obtained under the existing frequency and verified, and from the verification result, it can be seen that the method has good calculation efficiency under the premise of ensuring accuracy.

This invention discloses an evaluation method for an autonomous driving trajectory planning module, comprising the following steps: obtaining the trajectory planning results generated by the trajectory planning module under test and reference results for comparison; traversing all trajectory points of each trajectory in the trajectory planning results under test, comparing the velocity, lateral acceleration, longitudinal acceleration, lateral jerk, and longitudinal jerk of each trajectory point with the set limits for each item respectively; if at least one item exceeds the set limit, recording and storing the relative time on the trajectory of that trajectory point and the output time of the trajectory where that trajectory point is located; comparing each trajectory in the trajectory planning results under test with the reference trajectory corresponding to the same time in the reference results to obtain the difference between the two; calculating the index scores for each item based on the difference and the set scoring weights; and weighting the index scores of each item for each trajectory to obtain the evaluation score for that trajectory.

The present application belongs to the technical field of aero-engine, and proposes an aero-engine oil system posture analysis method and device, which comprises: obtaining the set working state of the engine oil component to be measured, and establishing the engine oil component model correspondingly; constructing the aircraft positioning coordinate system based on the engine oil component model; obtaining the flight state parameters for corresponding aircraft force analysis; obtaining the oil level of the aircraft, constructing the mapping relationship between the flight state parameters and the oil level; obtaining the actual flight state parameters, obtaining the matching relationship between the actual oil level and the engine of the aircraft to be measured; and analyzing the oil system of the aircraft to be measured based on the matching relationship. The present application adopts the coordinate conversion and overload synthesis method, force analysis, establishes the mapping relationship between the flight state parameters and the oil level, realizes the determination of the oil level, and realizes the analysis of the oil system posture.

The application discloses a user behavior analysis method, which can deeply understand the operation mode and behavior characteristics of users by modeling the user behavior sequence using an RNN model, thereby optimizing the user interaction experience; the ARIMA model is used to model the page performance data, which can accurately capture the time sequence characteristics of the page performance, identify potential performance bottlenecks and change trends; the RNN model is introduced into the ARIMA model, the page performance data is taken as an input of the sequence model, and the user behavior data is analyzed together, so that comprehensive analysis of the user behavior and the page performance can be realized, and the prediction accuracy and practicability of the model are improved; the trained model parameters are used to predict the optimization scheme and optimization cost of a future time point, so that the possible performance problems and optimization requirements in the future can be predicted, the optimization scheme can be prepared and implemented in advance, and potential performance bottlenecks can be avoided.

The invention provides a tensegrity module dynamic behavior analysis method based on an energy-preserving matrix perturbation method, which is different from an existing modeling method aiming at a tensegrity structure that a rope and a rod piece are simulated into a rod without considering bending rigidity or both the rope and the rod piece are regarded as beams. The string units are adopted to model the rope, and the actual vibration condition of the structure can be reflected. Taking a three-rod tensegrity structure module unit as an example, firstly, dynamic stiffness matrixes with prestress are established for ropes and rod pieces in the structure respectively; solving the established dynamic stiffness matrix by adopting a W-W algorithm to obtain a structure frequency; and finally, structural response is obtained and verified under the condition of existing frequency, and verification results show that the method has good calculation efficiency on the premise of ensuring accuracy.

The application discloses an electric ship battery replacement scheduling management system, which comprises a ship end data acquisition unit, a shore end battery replacement management and control unit and a cloud end intelligent scheduling platform. The ship end data acquisition unit is installed on an electric ship matched with the system. The shore end battery replacement management and control unit is installed on a ship battery replacement station matched with the system. The ship end data acquisition unit and the shore end battery replacement management and control unit interact data with the cloud end intelligent scheduling platform through a network, and data interaction between the ship end data acquisition unit and the shore end battery replacement management and control unit is realized through the cloud end intelligent scheduling platform. The application constructs a ship-shore-cloud integrated intelligent management and control system, realizes unified access, integration and analysis of multi-source data, software-defined control architecture, facilitates system iteration and upgrading, realizes multi-unit collaborative intelligent scheduling, improves battery replacement efficiency, perfects battery full life cycle intelligent management and control, improves safety and resource utilization, improves intelligent adaptability of the battery replacement network, and adapts to multi-scene requirements.

The application discloses a kind of park equipment health evaluation method, device, storage medium and electronic equipment, and the park is provided with multiple hierarchical collection devices, each hierarchical collection device is used to collect the equipment information of each park equipment, and the equipment information collected in real time and the abnormal data sent by the collection device of last level are sent to the collection device of next level, the method comprises: obtaining the equipment information of each park equipment sent by the collection device of highest level, and calculating the equipment health degree of each area and the equipment health degree of park according to area calculation scheme, and calculating the equipment health degree of each period and the equipment health degree of park according to time period calculation scheme;Health warning is carried out based on the health degree calculated by the two schemes.The application comprehensively evaluates the health degree of park operation, and provides good protection for daily operation of park.

This application discloses a rack impact simulation device and system, relating to the field of rack impact testing technology. The rack impact simulation device includes an impact force transmission mechanism and an impact force execution mechanism. The impact force transmission mechanism receives impact force along a first direction and converts it into an impact force along a horizontal direction. The impact force execution mechanism is connected to the impact force transmission mechanism and applies the horizontal impact force to the rack under test. The first direction and the horizontal direction form an angle. Through the coordinated design of the impact force transmission mechanism and the impact force execution mechanism, the conversion of the impact force direction can be achieved. Ultimately, the horizontal impact force is directly applied to the horizontally placed rack, avoiding the risk of rack center of gravity shift and tipping during testing caused by traditional inclined plane structures. Furthermore, the horizontal impact path eliminates the influence of the inclined plane angle on rack rebound, reducing the risk of secondary impacts interfering with the accuracy of experimental data.

This invention discloses a method for assessing shrimp health status based on multi-source information fusion, which relates to the field of data processing technology. The method includes the following steps: acquiring and preprocessing shrimp images at different growth stages; generating training images using artificial labels; extracting features such as shrimp outline length, area, and shell contrast; establishing a target recognition and feature extraction model based on the training images; identifying shrimp in the monitored aquaculture environment and extracting their behavioral characteristic parameters after training; calculating the behavioral assessment influence coefficient and growth assessment influence coefficient; and obtaining water source characteristic parameters to calculate the disease incidence influence coefficient; finally, generating a comprehensive health status assessment index, comparing it with a health judgment threshold, and outputting the health status judgment result. This achieves effective assessment of shrimp health status, real-time monitoring, and early warning, helping farmers take timely measures to prevent disease occurrence and improve shrimp survival rate and economic benefits.

The application discloses a kind of test simulation equipment for simulating throwing anchor, dragging anchor in ship movement.The equipment includes water tank and track system, tow control system, anchor operating mechanism and data acquisition and processing system;Water tank and track system provide test water environment and the height of trailer (for simulating ship) from water surface, tow control system drives trailer to move along track, anchor operating mechanism controls anchor dropping position by receiving signal, realizes throwing anchor simulation, data acquisition and processing system monitors anchor chain stress in real time, captures anchor body into water and dragging process by high-speed camera, all data are integrated transmission to control computer by synchronizer, and after processing, output anchor dropping speed curve, anchor chain dragging force peak value and drag anchor trajectory and other parameters.The all test simulation elements of the application are controllable and known, easy to use, can play the role of improving the accuracy and test efficiency of ship throwing anchor, dragging anchor test simulation.

The application provides a kind of alien fish invasion risk dynamic identification method and system, it is related to data processing technical field, method includes: collecting the multi-source ecological monitoring data of each monitoring point in a specific time period;The multi-source ecological monitoring data is preprocessed, and the standardized ecological data set is obtained;Based on the standardized ecological data set, the discrete state space model is constructed for different fish populations respectively;By extending the least square method, the parameters of discrete state space model are dynamically identified;According to the dynamic identification of discrete state space model, the dynamic change trend of local fish state variable under given invasion pressure is predicted;Combined with multi-source ecological monitoring data and dynamic change trend, fuzzy reasoning model is constructed;Multi-source ecological monitoring data is input into fuzzy reasoning model, and the invasion risk comprehensive evaluation value is output;Alien fish invasion risk grade is dynamically divided;According to the invasion risk grade of alien fish, intervention strategy instruction is automatically generated.

The invention provides a weld defect optical detection method and system based on multi-scale feature fusion, and relates to the technical field of material detection.The method comprises the steps that an optical emission module is controlled to emit an initial detection light beam to the surface of a to-be-detected weld material, and an initial optical response signal is obtained; performing multi-scale feature extraction on the response signal, and determining the physical scattering interference degree of the material surface; adaptively generating a dynamic optical modulation strategy comprising a plurality of modulation state parameters based on the interference degree; according to the strategy, emitting a modulation light beam sequence to the surface of a to-be-tested material in sequence, and synchronously obtaining a plurality of target optical response signals reflecting specific optical physical properties; and performing multi-scale feature extraction and multi-dimensional feature fusion operation on the target optical response signal, and outputting a defect analysis conclusion of the to-be-detected material according to the fusion feature distribution matrix. According to the method, optical scattering interference energy caused by surface macroscopic fluctuation is stripped by measuring the optical physical properties of the material.

The utility model discloses a quartz tube sleeve for assembling a bonding wire annealing tube gas sensor, which comprises a tube body, the fixing pipe is used for being inserted into an annealing pipe opening to achieve sleeving connection of the pipe body and the annealing pipe, the limiting protrusion is used for abutting against the end face of the annealing pipe opening, the mounting base is used for mounting a gas sensor, and the limiting protrusion is arranged on the inner circumferential wall of the pipe body. One end of the limiting protrusion is connected between the fixing pipe and the installation base, the other end of the limiting protrusion is arranged in an inclined mode in the direction where the fixing pipe is located, a connecting table is arranged on the side wall of the installation base, and a containing cavity used for containing the sensor body is formed in the connecting table. The gas concentration monitoring device is simple in structure and convenient and reliable to assemble, facilitates monitoring of gas concentration and has a good use effect.

This invention provides a space omics analysis chip, comprising a substrate and a cover plate. The substrate includes a first region; the cover plate includes a recessed region; the substrate and the cover plate are mated; the orthographic projections of the first region and the recessed region on the substrate overlap, and the mating of the first region and the recessed region forms a cavity; the substrate includes a control electrode array located in the first region, the control electrode array being used to control the reaction solution; a local area within the recessed region is used to accommodate a slice to be analyzed; the control electrode array is positioned corresponding to the accommodating area of ​​the slice to be analyzed; the cover plate includes a liquid inlet located in the area outside the accommodating area of ​​the slice to be analyzed within the recessed region, for inputting the reaction solution and a separating liquid; the cover plate also includes an auxiliary contact structure located in the accommodating area of ​​the slice to be analyzed, for assisting the reaction solution in contacting the slice to be analyzed. This space omics analysis chip reduces the crosstalk between droplets at different points, helping to improve the accuracy of space omics analysis results.

The invention relates to a Bluetooth AOA signal outlier elimination method and system based on deep learning, and the method comprises the steps: initializing system configuration, and cooperatively collecting Bluetooth signals through employing a plurality of Bluetooth base stations; acquiring IQ data in a plurality of Bluetooth base stations, and performing data preprocessing; according to the IQ data, performing calculation to obtain a preliminary positioning result of the Bluetooth terminal; constructing an input data set of the deep learning model and designing a network structure of the deep learning model; training a deep learning model according to the input data set; the training precision of the deep learning model is judged, if the training precision meets the requirement, IQ data collected in real time is input into the trained deep learning model, and a real-time positioning result of the Bluetooth terminal is obtained; otherwise, returning to adjust the network structure; and optimizing the real-time positioning result by using a Kalman filtering algorithm to obtain a final positioning result. Compared with the prior art, the method has the advantages of high positioning accuracy and strong robustness.

The application discloses a method and device for determining interaction capability, a storage medium and an electronic device, relates to the technical field of smart home, and the method comprises the following steps: starting a recording task of an interactive voice between a target object and a voice interaction device at a first time point, wherein the first time point is an end time point of the target object issuing a wake-up audio to the voice interaction device; ending the recording task at a second time point to obtain audio response data of the voice interaction device between the first time point and the second time point, wherein the time difference between the second time point and the first time point is a preset time threshold, and the audio response data comprises a first response result of the voice interaction device to the wake-up audio, a response time of the voice interaction device to the wake-up audio, and a second response result of the voice interaction device to a voice instruction issued by the target object; and determining the interaction capability of the voice interaction device according to the audio response data.

The invention belongs to the technical field of safety maintenance, and particularly relates to a predictive maintenance method and system for a bridge crane. The invention discloses a predictive maintenance method for a bridge crane. The method comprises the following steps: monitoring and collecting state data of the bridge crane in real time through a sensor, preprocessing each piece of data, and converting the data into time sequence data; in combination with a risk assessment and fault prediction model, according to historical data and current data, assessing the remaining service life, the fault occurrence probability and the health degree of each piece of equipment; performing quantitative evaluation on the monitoring result of the equipment by using a multi-parameter weighted scoring principle according to the state judgment evaluation model, and dividing the health state of the equipment according to a scoring result; and the evaluation result is displayed on the HMI in a chart form, and corresponding maintenance measures are sent to maintenance personnel for optimization according to the result. The operation state of the bridge crane is effectively monitored and evaluated, equipment faults are predicted and prevented, and the reliability and safety of the equipment are improved.