23results about How to "Eliminate limitations" patented technology

The invention discloses an iron tower monitoring collaborative data processing method based on cross-modal data association, and relates to the technical field of iron tower operation and maintenance, and the method comprises the following steps: deploying a high point monitoring device, an unmanned aerial vehicle and an unmanned vehicle at an iron tower in advance; the method comprises the following steps: performing standardized preprocessing on video streams and radar point clouds acquired by high-point monitoring, RGB images acquired by an unmanned aerial vehicle, an infrared thermodynamic diagram, laser point clouds, ground laser point clouds acquired by an unmanned vehicle and vibration data, mapping multi-modal data to a unified three-dimensional coordinate system, extracting common features and associated features through an improved Transform model, and judging effective associated data. According to the method, the core problem of cross-modal data fusion is solved by adopting a space-time correlation and feature correlation two-dimensional model, and multi-modal information such as video frames, point cloud data and vibration signals collected by different devices is mapped to the same space-time dimension by unified three-dimensional coordinate system construction and timestamp accurate alignment. And the originally isolated data is enabled to generate spatial relevance.

The invention discloses an embracing and grabbing actuator with a multi-dimensional clamping function, which comprises a transmission part comprising a limiting support seat for fixing a connecting rod and a dynamic sealing limiting block, a lead screw nut hinged with a base connecting rod, a transmission lead screw in threaded connection with the lead screw nut, and a linear guide optical shaft fixed on the limiting support seat; the upper surface of the limiting supporting seat is connected with the inner top face of the transmission shell in an attached mode. The driving part comprises a secondary planetary reducer fixedly connected to the left end of the transmission lead screw, a driving shell fixed to the bottom face of the transmission shell and a driving motor connected with the left end of the secondary planetary reducer. Compared with a tail end grasping actuator of an isomorphic three-clamping-finger structure, the grasping actuator has the capacity of clamping targets of various shapes from various directions by designing the finger type of the special-shaped staggered cylindrical curved surface structure, the limitation that a traditional three-clamping-finger structure can only conduct a clamping task in the single axis direction is eliminated, and the grasping efficiency is improved. And the clamping operation performance of the gripping actuator in a complex environment is improved.

The present application relates to the technical field of automatic control and machine vision, and particularly relates to a path planning and blind area elimination method for a crawler-type cleaning robot, which comprises the following steps: collecting a photovoltaic module surface image through a vision sensor arranged on a robot body, extracting photovoltaic cell grid line features and establishing a local coordinate system; generating a path reference line based on the grid line direction, and calculating a lateral deviation and an angle deviation between a current position of the robot and the path reference line in real time; dynamically adjusting a robot walking path through a fuzzy control method; dynamically adjusting a cleaning interval by calculating a current cleaning width and an expected overlap rate; and executing an obstacle crossing or board crossing decision based on an inclination angle data when sensor data conflicts. A multi-sensor data fusion technology improves the anti-interference capability of the robot, so that the robot can stably operate in a strong light, a reflective light and the like.

The chain system fixed-point resampling method belongs to the technical field of rotating machinery signal processing, and aims to solve the problems that the time domain signal regularity of a single chain link is poor, the dynamics characteristics of the whole system are difficult to directly reflect, and the frequency domain feature extraction cannot be performed. The method comprises the following steps: extracting original data of discrete motion units from multi-body dynamics simulation results; at the preset data monitoring point position of the system, the nearest discrete motion unit is searched as a monitoring unit in real time by calculation; according to the data type, one of a direct method, a synthetic method and an average method is adopted to process the original data of the monitoring unit, and feature data representing the dynamics state of the fixed position are generated; and finally, the feature data are written into a file in time sequence. The time sequence data of the fixed position are collected through the fixed-point resampling method, and the problems that the data is strong in contingency, poor in regularity, and difficult to perform in-depth frequency domain and statistical analysis due to tracking a single motion unit are solved.

This invention discloses a method and system for quantifying the color discrimination ability of both natural and artificial light sources. The method first measures the spectral power distribution of the light source to be evaluated. S ( l The illuminance E was then calculated; subsequently, the neutrality index of the light source was calculated in a uniform color space. S neutral The continuous color difference index (SCD) is calculated based on the chromaticity values ​​of a set of continuous color samples in a uniform color space; a segmented illuminance correction function is output according to the illuminance range; finally, the neutrality index is... S neutral The continuous color difference index (SCD) and illuminance correction function are uniformly input into a preset light source color discrimination capability quantification model G to calculate a comprehensive evaluation value. This invention comprehensively quantifies color discrimination capability from three dimensions: spectral characteristics of the light source, neutrality, and illuminance level. It effectively solves the technical problems of existing models failing to represent the spectrum under natural light and being unable to accurately quantify the nonlinear visual response of the human eye under extremely large illuminance spans.

The application provides a novel feature up-sampling method for semantic segmentation, which improves the resolution of an image by combining pixel reorganization Pixel Shuffle with an attention mechanism, prevents a chessboard effect, and avoids a 0 filling operation on unknown pixel points compared with a previous traditional up-sampling module; secondly, the attention mechanism is introduced to combine global information with local information, obtain a feature map with a larger receptive field and more detailed information, increase effective feature information, and realize the function of effectively improving the segmentation performance of the network. The application has universality, eliminates the limitations of previous methods by simply replacing all up-sampling modules, obtains more representative feature mappings, obtains an enlarged image with good features, makes the restored image obtain more feature information, and is beneficial to improving the segmentation result of the network model.

The utility model discloses a kind of medicine applying devices for gynaecology vaginitis, belong to gynaecology medical instrument technical field, a kind of medicine applying device for gynaecology vaginitis, including push plate, push plate front end is fixedly connected with medicine applying structure, medicine applying structure inside is threadedly connected with injection structure, push plate rear end is fixedly connected with limit ring, push plate inner surface and limit ring inner surface are threadedly connected with push structure, it is cooperated by medicine applying structure and push structure, when gynaecology doctor treats vaginitis patient, capsule, tablet and powder drug can be quickly sent into patient vagina, complete medicine applying, by injection structure and medicine applying structure and push structure cooperation, so that device can also complete liquid medicine applying, eliminate limitation, by push structure, so that the controllability of device is higher, can effectively avoid to cause harm to the inside of patient's vagina, can realize the function of convenient liquid medicine and high operating precision, improve the practicality of device.

The application relates to the technical field of artificial intelligence, and discloses a highway side slope deformation intelligent identification and prediction system based on space-air-ground stereoscopic monitoring, which comprises a space-air-ground stereoscopic monitoring module, a data fusion processing module, an intelligent identification module, a deformation prediction module and a central control module; the space-air-ground stereoscopic monitoring module cooperatively collects side slope deformation data by using multi-source heterogeneous sensors, including space satellite remote sensing data, sky unmanned aerial vehicle aerial photography data and ground Internet of Things sensor data, realizes all-weather and multi-scale monitoring of side slope surface displacement, internal stress, crack expansion and environmental factors, guarantees the comprehensiveness and real-time performance of the monitoring data, and eliminates the limitations of a single data source; the data fusion processing module performs space-time registration, denoising and normalization processing on the multi-source monitoring data, guarantees the accuracy and reliability of real-time deformation risk diagnosis, and reduces the false alarm rate.

The invention relates to the technical field of tunnel engineering, and discloses a tunnel soft rock large deformation assessment method based on multi-source parameter analysis, and the method comprises the steps: firstly constructing an assessment model based on a grey clustering theory, and carrying out the preliminary risk classification of tunnel surrounding rock; after a tunnel face is revealed through tunnel excavation, apparent characteristic data are quantitatively collected, a comprehensive score is calculated, and an apparent large deformation level is determined; meanwhile, a BP neural network model optimized through a particle swarm optimization algorithm is utilized, and the cumulative deformation of the surrounding rock is predicted based on multi-source input parameters; calculating a strength-stress ratio by combining ground stress and rock mass strength data actually measured on site, verifying and correcting the preliminary grade, and determining a final comprehensive large deformation grade; and finally, mapping the grades into support parameters, and executing dynamic adjustment based on monitoring data. According to the method, through the fusion of theoretical calculation, field quantitative scoring and intelligent prediction, accurate judgment and closed-loop control of large deformation of the soft rock are realized, and the construction risk is effectively reduced.

The invention provides a mail processing method and device, electronic equipment, a storage medium and a program product, and relates to the field of financial science and technology or other related fields. The method comprises the steps of obtaining text content of a mail and metadata related to a sender, processing the text content through a classification model to generate first probability distribution, and generating second probability distribution based on the metadata and historical data of the sender, and the category of the mail can be determined by fusing the first probability distribution and the second probability distribution. Through two-channel processing of email text semantics and metadata, the limitation of single semantic features can be eliminated, the ambiguity and wrong classification problems of semantically similar emails are solved, the email classification accuracy is improved, and the subsequent processing flow can be conveniently carried out based on the email classification result.

This invention discloses a weightlessness simulation exercise aid device, relating to the field of fitness equipment technology. Specifically, it includes: a support part; a frame for fixing the fitness equipment, and a third movable frame that can move freely in the XY plane is provided inside the frame. The support part is slidably mounted on the third movable frame along the Z direction, and a floating lifting cylinder is provided inside the third movable frame to inhibit the sliding of the support part. This weightlessness simulation exercise aid device separates the weightlessness aid from the fitness equipment, allowing the fitness equipment to be used independently in space. The weightlessness aid part can be used to verify the performance of other space fitness equipment. Moreover, by using a floating support part, it can meet the needs of users to exercise in positions other than lying down, thereby solving the problem of limited usage scenarios.

The application provides a power distribution network fault type judgment method and system, comprising: obtaining a fault voltage signal, a standard comprehensive feature matrix and a standard voltage signal characteristic value; based on the fault voltage signal and the standard voltage signal characteristic value, using Hilbert transform, discrete Fourier transform and Hilbert-Huang transform to generate a comprehensive feature matrix corresponding to the fault voltage signal; comparing the comprehensive feature matrix with the standard comprehensive feature matrix to obtain a power grid fault type, the application uses three algorithms of Hilbert transform, discrete Fourier transform and Hilbert-Huang transform to determine the fault type, improves the accuracy of short-circuit fault discrimination, especially improves the discrimination accuracy of long-distance power transmission faults, nonlinear load cut-in interference, noise interference faults and high-impedance grounding faults which are difficult to identify in the power distribution network, thereby ensuring the safety and reliability of the power distribution network.

According to the knowledge retrieval method and device based on multi-path recall, the target query statement of the user is expanded, rewritten and split through the first large language model so as to form the multiple candidate query statements under the same semantics, problem rewriting is achieved, retrieval elements can be refined, and the accuracy of recall results can be improved. Multi-path content retrieval is adopted, vector retrieval and ES retrieval are adopted at the same time, database data of ES retrieval are updated in real time, the problem of knowledge limitation can be eliminated, delay is reduced, and information integrity is guaranteed. A Rerank model or a double-tower model is introduced to score and sort the first type of query results and the second type of query results which are recalled preliminarily, the query results with the higher score are selected to be integrated and supplemented by a second large language model, natural language reply aiming at the target query statement is generated, the accuracy and integrity of the final knowledge retrieval result are improved, and the query efficiency is improved. And the double-tower model can be iteratively updated according to user feedback, so that the user satisfaction is ensured.

This invention discloses a method and system for assessing the risk of black soil erosion based on erosion and degradation, belonging to the field of black soil erosion assessment technology. The method includes acquiring high-resolution soil structure tomography images of the target black soil region, long-term climate and hydrological time-series data, digital models of surface micro-topography, and historical land use change vector maps. The soil structure tomography images are analyzed for pore connectivity, and the soil aggregate destruction index and vertical fracture development density are extracted. Effective rainfall erosivity factors and seasonal freeze-thaw cycle intensity factors are calculated, and surface disturbance intensity layers are generated by fusing micro-topography and land use change data. Multiple parameters are input into a coupled model of the black soil erosion process, and erosion and degradation risk distribution maps under different future scenarios are generated through spatial iterative calculations. This method refines the characterization of black soil microstructure and surface composite disturbance features, improving the precision and scenario adaptability of black soil erosion risk assessment.

A kind of double position radial fracture test system of safety pull-off valve for petrochemical industry, the middle part of the upper end of the chassis is provided with high-frequency high-pressure pulse air gun moving along the upper end between right end support assembly and left end support assembly, left end support assembly is connected with pressure increasing device, the shooting port of high-resolution image measurement and simulation optimization analysis system moves along the upper end between right end support assembly and left end support assembly, and safety pull-off valve to be measured is arranged between the upper end of right end support assembly and left end support assembly.The main advantages are: high-precision, high-resolution full-strain or instantaneous deformation fracture measurement is realized, the instantaneous shear fracture process of safety pull-off valve under sudden dragging process is accurately and effectively simulated and measured, the degree of automation is high, the measurement and analysis precision is high, the detection timeliness and accuracy are improved, the detection cost is reduced, and the product safety and quality are improved.

The invention discloses a high-voltage equipment foundation condensation prevention and control system based on two-dimensional humidity monitoring intelligent linkage ventilation and a control method thereof.The system comprises a main box body, a bimodal humidity monitoring unit used for detecting the temperature, humidity and water vapor concentration in the main box body, and a dynamic ventilation assembly used for outward ventilation of the main box body; the active condensation suppression device is used for feeding external air into the main box body and can heat the air; according to the method, an intelligent decision center module of a bimodal humidity monitoring unit judges a current state according to temperature and humidity data and water vapor concentration data, and if the current state is a normal state, a dynamic ventilation assembly is controlled to operate at a low speed to achieve natural ventilation from a main box body to the outside; if the current state is a condensation early warning state, the dynamic ventilation assembly is controlled to operate at a medium speed, and the active condensation suppression device is controlled to supply fresh air into the main box body; and if the condensation risk state is judged, controlling an electric heating wire to heat so as to raise the temperature of air in the main box body.

The invention discloses a pipeline inner wall defect detection method, system and product based on point cloud and image depth fusion, and relates to the field of drainage pipeline defect detection. The method comprises the following steps: S100, obtaining a two-dimensional image sequence and a point cloud sequence of a pipeline inner wall; s200, extracting a two-dimensional image feature vector of the two-dimensional image sequence, and performing feature dimension raising to obtain a two-dimensional image voxel feature body; s300, mapping the point cloud sequence to a three-dimensional voxel grid space, and performing feature extraction to obtain a point cloud voxel feature body; s400, performing feature fusion of the two-dimensional image voxel feature body and the point cloud voxel feature body to obtain a fused voxel feature body; s500, obtaining a BEV feature map and a perspective feature map based on the fused voxel feature body, and identifying defects to obtain a three-dimensional voxel mask and a corresponding defect point cloud set; and S600, performing defect calculation based on the defect point cloud set. By fusing the three-dimensional point cloud data and the two-dimensional image data, three-dimensional precise reconstruction of the inner wall of the pipeline and quantitative evaluation of the defects are realized.

This invention provides a resource scheduling method and system for intelligent agents. The method includes: creating a corresponding intelligent agent cluster in real time based on several intelligent agents, and inputting a target task into the intelligent agent cluster accordingly; during the execution of the target task by the intelligent agent cluster, determining in real time whether there is a target intelligent agent in the cluster that cannot execute the target task; if it is determined in real time that there is a target intelligent agent in the cluster that cannot execute the target task, then creating a corresponding target edge cloud in real time based on preset rules according to the intelligent agent cluster, and completing the target task through the target edge cloud. This invention can effectively process the corresponding target task through the edge cloud created in real time, thereby improving work efficiency.

This invention relates to the field of unmanned aerial vehicle (UAV) simulation technology and discloses a method for simulating UAV flight status based on digital twins. The method involves constructing a digital twin system containing a physical UAV entity and a virtual simulation model, and collecting multi-source flight data streams, including the physical UAV's position information, motion parameters, and environmental perception data. Multi-dimensional feature fusion processing is performed on the multi-source data to generate a fused feature representation. Based on this fused feature, a probabilistic state modeling algorithm is used to determine the estimated flight status and related confidence information. The virtual simulation model is updated based on the estimated values ​​and confidence levels to simulate real-time flight status. Flight status clustering analysis is performed in the virtual model to detect abnormal patterns, and an adaptive simulation threshold set is generated based on historical flight data. By comparing the abnormal patterns with the adaptive threshold set, simulation control commands are output for UAV operation. This method can effectively support accurate simulation and anomaly control of UAV flight status.

The invention provides a tiny target identification method and system in a polar region environment, and relates to the technical field of computer vision and image processing.The identification method comprises the steps that a multi-frame video image sequence and synchronous physical parameters in the polar region environment are obtained, and a global illumination direction vector is extracted from a static background image; in the aligned multiple frames of images, directional spatial integration is carried out along a global illumination direction vector, and cross-frame fusion is carried out in a time dimension to generate a basic shadow response graph; performing multi-feature extraction on the basic shadow response graph to obtain a direction consistency weight graph, a polar region form consistency weight graph and a community space aggregation degree weight graph; performing cross validation and dynamic correction to generate a space guidance graph; and inputting the space guidance graph and the original image into a target detection network to output a target identification and positioning result.

The application relates to the technical field of concrete identification, and discloses a concrete damage identification method based on a multi-layer feature fusion network, which comprises the following steps: (1) collecting a radar scanning image of a concrete structure; (2) performing an image preprocessing operation on the radar scanning image; (3) inputting the radar scanning image after preprocessing into a multi-layer feature fusion network; (4) in the multi-layer feature fusion network, the following operations are performed: (5) generating a damage segmentation mask consistent with the size of the input image; (6) outputting the spatial distribution results of concrete surface cracks, deep cracks and holes according to the damage segmentation mask. By constructing a multi-layer feature fusion structure between a convolutional neural network encoder and a Transformer encoder, local spatial features and global context information are simultaneously represented in a unified feature space, and collaborative expression between different receptive field levels is realized.

The application discloses a new method for diagnosing shape quality of cold continuous rolling based on causal analysis, which comprises the following steps: reconstructing an attractor manifold according to two features in a same system to obtain a state space; reconstructing an attractor manifold again according to a feature time delay; finding a nearest neighbor point and calculating a nearest neighbor estimation; defining a CME score formula, calculating a CME score, judging whether the CME score converges to a constant or not, and if the CME score converges to a constant, it is indicated that a causal relationship exists between the two features. The application of the diagnosing method to diagnosing shape quality of cold continuous rolling can effectively monitor shape quality abnormality.

The application discloses a VOCs space-time distribution rule analysis system and method, relates to the technical field of air pollution detection, and comprises the following steps: deploying a VOCs monitoring point network; performing multi-time period sampling; adopting a pre-concentration-gas chromatography mass spectrometry combined technology to perform component analysis; constructing a VOCs concentration space distribution model to generate a space-time distribution atlas; analyzing VOCs component sources to identify main pollution source types; and constructing a VOCs space-time distribution characteristic index system. The application adopts a space point arrangement strategy to ensure that the monitoring points are representative. The sampling time sequence and frequency arrangement are optimized to improve the accuracy and integrity of component analysis. An optimized space interpolation algorithm is introduced to improve the accuracy and reliability of the space-time distribution atlas. Multiple source analysis methods are integrated to eliminate the limitations of a single model through model cross verification.