21results about How to "Low resolution" patented technology

The present application relates to image analysis technology, disclose a kind of water rare biological detection method and system based on underwater image analysis, comprising: monitoring target water area in preset time period in light signal data stream and spectrum data stream, identify the light signal data stream light emitting event, obtain light emitting event timestamp sequence, based on light emitting event timestamp sequence obtain light emitting image sequence in light signal data stream and spectrum data sequence in spectrum data stream, to light emitting image sequence and spectrum data sequence is carried out denoising correction and space-time synchronization processing, obtain after alignment image block sequence and after alignment spectrum curve, according to after alignment spectrum curve constructs spectrum attention weight, to after alignment image block sequence is carried out multi-scale morphological feature extraction, obtain multi-scale morphological feature map, to multi-scale morphological feature map is carried out rare biological target detection, obtain target detection result.The present application can improve the accuracy of water rare biological detection.

The invention discloses a multi-style differentiation graph lightening system and device of a sighting telescope, and relates to the technical field of sighting telescopes. Comprising a prism, a differentiation plate, a first LED lamp, a second LED lamp and a lens, the differentiation plate is provided with a first pattern and a second pattern which are concentric, and the surface of the second pattern is coated with a black shading coating. By independently controlling on-off and color switching of the two LED lamps, free switching of independent display of the first graph, independent display of the second graph and combined display of the first graph and the second graph can be achieved, and multi-color adaptation is supported. The device ensures light conduction and imaging effects by accurately assembling all parts. The dividers can be replaced to expand and differentiate pattern styles, the problem that a traditional sighting telescope is fixed in dividers and colors is solved, the dividers are adaptive to different sighting scenes, the sighting flexibility and accuracy are improved, and the dividers are suitable for various sighting telescope devices.

This application relates to the field of robot control, and in particular to an adaptive control method and system for an intelligent inspection robot. The method includes real-time acquisition of inspection environment data through a sensor fusion structure comprising a lidar, infrared thermal imager, vibration sensor, and voiceprint recognition module; fusion processing of sensor data using an improved Kalman filter algorithm integrated with a deviation repair model algorithm to generate a dynamic 3D environment map and detect abnormal equipment sounds; adjustment of the robot's wheeled compound drive torque distribution by constructing a variable parameter control model suitable for slope scenarios based on an inertial displacement compensation algorithm and a dynamic friction coefficient estimator; and execution of local real-time obstacle avoidance and cloud-based equipment health prediction through an edge-cloud collaborative decision-making system, and dynamic optimization of the inspection path based on a digital twin model. The control system includes a sensor fusion module, a data fusion and localization module, a motion control module, an edge-cloud collaborative decision-making module, and an intelligent path planning engine. This application achieves the effects of more accurate data acquisition, better robot adaptation to complex environments, and improved decision-making and path planning capabilities.

The invention provides a seat limit position setting method, a vehicle and a storage medium, and relates to the technical field of vehicle-mounted seat calibration. According to the method, under the condition that a first distance and a second distance are not consistent, the final limit positions of a first seat assembly and a second seat assembly in the first direction are set to be the initial limit position corresponding to the one with the larger value in the first distance and the second distance; under the condition that the third distance and the fourth distance are not consistent, the final limit positions of the first seat assembly and the second seat assembly in the second direction are set as the initial limit position corresponding to the smaller one of the third distance and the fourth distance. In this way, even if a tolerance exists between the movable path of the first seat assembly and the movable path of the second seat assembly, the accuracy of follow-up levelness calibration of the side-by-side seat assemblies is not affected.

The application provides a substation foreign matter detection method and system, and relates to the technical field of power grids. The application enhances the pixel area changing with time in the image through time domain high pass processing, and enhances the pixel response of the real moving foreign matter. The spatial features of the static appearance attribute of the foreign matter and the motion time sequence features of the dynamic behavior of the foreign matter are extracted in parallel to form a double verification mechanism, so that the model can focus on the real moving area, and the effective identification of the small target, the variable form, the disordered floating and other foreign matters is realized. Finally, the target feature map including the semantic information and the fine position information is generated through multi-scale feature fusion, which can accurately classify by using the semantic information and accurately position by using the fine position information, so as to ensure the capturing ability of the foreign matter of different scales and simultaneously improve the classification accuracy and the positioning precision. The problem of low accuracy of the substation foreign matter detection is solved, and the accuracy of the substation foreign matter detection is improved.

The invention discloses a laser radar and camera combined calibration method based on a multi-feature three-dimensional target, and belongs to the technical field of laser radars. The method comprises the following steps: collecting multi-feature three-dimensional target data of a laser radar and a camera; performing feature extraction on the acquired multi-feature three-dimensional target data of the laser radar and the camera to obtain two-dimensional sub-pixel coordinates of key points under a camera image coordinate system and three-dimensional space coordinates of the key points under a three-dimensional sensor coordinate system; and performing joint external parameter calibration of the laser radar and the camera based on the obtained two-dimensional sub-pixel coordinates and the three-dimensional space coordinates. According to the invention, by designing the target in a specific form, the problem of low joint calibration precision of the multi-modal sensor caused by mismatching of the working range of the laser radar and the working range of the camera is solved, and effective and efficient correspondence of data features acquired by the laser radar and the camera is realized; and thus, high-precision joint calibration between the laser radar and the camera is completed.

The invention discloses a position information determination method and device and network side equipment, and belongs to the technical field of communication, and the method comprises the steps that first network equipment sends first position information of a terminal to second network equipment; the first network equipment receives second position information from the second network equipment; wherein the second position information is determined based on the first position information, and the second position information is used for indicating information of a service cell corresponding to the terminal.

The application discloses a kind of based on multi-source information intelligent agent's electric load feature extraction system, it is related to load sampling technical field.The system includes multiple information processing intelligent agents and at least one comprehensive intelligent agent.For receiving original electric power related data and extracting the basic feature vector of this source domain.Task perception interface is used to obtain the feature requirement information of target analysis model.Dynamic collaborative scheduler dynamically selects the intelligent agent set participating in collaboration according to feature requirement information, and allocates real-time computing resources and data sampling strategy for each selected intelligent agent.Feature collaborative recombination engine receives the basic feature vector output by selected intelligent agent, and carries out cross-domain collaborative fusion, generates the electric load feature tensor adapted to target analysis model.Effectively solve the problem of insufficient multi-source information fusion depth and low feature recombination accuracy, significantly improve the flexibility of feature extraction and the adaptation ability to complex analysis model.

This application relates to a highly generalizable water body extraction method and system based on remote sensing imagery. The extraction method includes: acquiring multi-source remote sensing image data and labeling water bodies; cropping the image data into image patches of a preset size; generating original and labeled image patch datasets and performing data augmentation processing to generate an augmented dataset; selecting the band combination with the largest inter-class variance to generate the optimal augmented dataset and performing data preprocessing to generate a vector format dataset, which is then divided into training, validation, and test sets; pre-constructing a SAM model; performing a first-stage fine-tuning of the image encoder based on the training and validation sets, and a second-stage fine-tuning of the mask decoder based on the training and validation sets to obtain a fine-tuned water body extraction professional model; inputting the remote sensing image data to be extracted into the water body extraction professional model to obtain a full-size water body extraction result image. This application can improve the accuracy and generalization ability of water body extraction.

The present application relates to the technical field of data calibration, and discloses a cloud water icing detection dynamic calibration method and system for an airborne terahertz radiometer, comprising: collecting external environment temperature and humidity data and calibration matching parameters; constructing an influence function of antenna icing on a flight platform on the radiation efficiency of a preset terahertz frequency band; performing icing analysis on the external environment temperature and humidity data to obtain an equivalent icing attenuation factor and correct a target source radiation reference value stored in the airborne terahertz radiometer; analyzing an environment compensation term and a system response term of the external environment temperature and humidity data; synthesizing the icing correction term, the environment compensation term and the system response term with the target source radiation reference value to generate a calibration coefficient; and using the calibration coefficient to compensate and correct real-time received original radiation signals of the terahertz frequency band to obtain a terahertz effective detection signal. The present application can improve the accuracy of cloud water icing detection dynamic calibration.

This invention provides a method and system for differential interferometry of alien celestial bodies, comprising: collaborative observation using an alien system composed of multiple satellites, all satellites adhering to the principle of common origin design to ensure coherence; orbital formation design for the alien system to shorten the effective revisit period; establishing a differential deformation error sensitivity model for the alien system to identify and quantify the main error sources; accurately estimating and compensating for key system errors based on the error sensitivity model; and finally, establishing and solving the deformation model of the alien differential system after error compensation to obtain high-precision surface deformation information. This invention also provides a system for executing this method. This invention significantly improves the timeliness of deformation monitoring through multi-satellite collaboration and ensures measurement accuracy through systematic error processing, making it suitable for scenarios such as emergency response and long-term dynamic monitoring.

The present application belongs to the technical field of nondestructive testing, and relates to a large-aperture pipeline spiral weld defect identification and positioning method and system, comprising: based on the constructed column coordinate system, a double-mode collaborative excitation and sensing collection mode is adopted by a laser vibration detector detection device to obtain vibration signals, excitation point column coordinates and laser point column coordinates; core features are extracted to generate feature vectors; spatial coding is performed through Hadamard product to generate an input vector with position identification; according to the input vector with position identification, defect identification and positioning are performed through an optimized liquid state neural network to obtain defect classification and defect point three-dimensional coordinates. Through the double-mode collaborative excitation and sensing collection mode, Hadamard product coding, QRFS algorithm optimization and the liquid state neural network trained by the multi-task loss function and AdamW optimizer, the present application solves the problem of low precision of existing technologies in large-aperture pipeline spiral weld defect identification and positioning.

This utility model provides a fixture for detecting the clearance at the rear of a forklift frame's fuel tank, comprising: a top cross plate, a rear cross plate, a detection plate, a positioning plate, a limiting plate, and a connecting plate; the top cross plate and the rear cross plate are vertically and fixedly connected; the detection plate is positioned below the top cross plate and to the side of the rear cross plate, with its two vertical sides fixedly connected to the surfaces of the top and rear cross plates respectively; the positioning plate is positioned between the two detection plates and is vertically and fixedly connected to the top and rear cross plates respectively, and has a positioning groove for fitting into the rear frame; the limiting plate is positioned between the two detection plates and is vertically and fixedly connected to the top and rear cross plates respectively; the detection plate, positioning plate, and limiting plate are parallel to each other; the connecting plate is parallel to the rear cross plate and fixes the positioning plate and the limiting plate together. The positioning plate of this fixture for detecting the clearance at the rear of the forklift frame's fuel tank is assembled in the same way as the counterweight on the frame, and the detection plate simulates the curvature of the counterweight after assembly to quickly and accurately detect the clearance between the sides of the fuel tank and the counterweight.

The application relates to the technical field of digital twinning, and discloses an intelligent optimization system for injection molding machine process parameters based on digital twinning, which comprises a double-drive hybrid digital twinning model construction module, a lightweight injection molding operation model generation module, a simulation module, a mismatch identification signal generation module, a multi-round injection molding cycle simulation module and an optimized process parameter generation module, wherein a double-drive hybrid digital twinning model of an injection molding machine is constructed; the double-drive hybrid digital twinning model is subjected to online linear reduction processing; the lightweight injection molding operation model is controlled to perform high-frequency concurrent simulation and simulation; a mismatch identification signal of the lightweight injection molding operation model is generated; an optimized target of the injection molding machine process parameters is determined according to the mismatch identification signal, the lightweight injection molding operation model is subjected to multi-round injection molding cycle simulation and simulation through the optimized target; and the optimized process parameters of the injection molding machine are screened based on a global response surface. The application can improve the accuracy of intelligent optimization of injection molding machine process parameters.

The utility model relates to valve technical field discloses a tee bend valve. The tee bend valve includes valve body, and the valve body is made of engineering plastics and includes three intercommunication branch pipes, and the end of two branch pipes is provided with metal joint, and the metal joint is used for being connected with external pipeline thread, and each metal joint can be connected in the end of branch pipe through injection moulding or baffle circle, and another branch pipe is provided with ball valve assembly, and the ball valve assembly is used for switching the on-off of fluid in the branch pipe. The tee bend valve provided by the utility model adopts split type structure, that is, the form of engineering plastic valve body plus metal joint, can solve the problems of easy heavy metal precipitation and high cost of full copper tee bend valve in the prior art, and can solve the problem of low strength of full plastic tee bend valve.

The present application relates to artificial intelligence technology, disclose a kind of pruning paradigm's disease fragment extraction method, comprising: the feature extraction of patient's dialogue text is obtained text feature sequence;Extract the starting feature corresponding to text feature sequence, normalize start and end feature, and construct the start and end probability distribution of text feature sequence;According to start probability distribution sequence and end probability distribution sequence, establish the start and end distribution combination of text feature sequence;Pruning operation is carried out to start and end distribution combination using the preset combination pruning algorithm, obtain target fragment combination, and the text corresponding to target fragment combination is used as disease fragment.In addition, the present application also relates to blockchain technology, and dialogue text can be stored in the node of blockchain.The present application also proposes a kind of pruning paradigm's disease fragment extraction device, electronic equipment and storage medium.The present application can improve the accuracy of disease fragment extraction.

The application relates to an artificial intelligence technology and discloses a target detection method based on result clustering, which comprises the following steps: selecting a target detection model as a target prediction model, adjusting learning rates of all target prediction models to obtain a standard learning rate set; training all target detection models to obtain a prediction model set; selecting a prediction model group as a target prediction model group one by one, collecting prediction results of the target prediction model group into a detection frame sequence; fusing and clustering all detection frames to obtain a fused detection frame sequence, and fusing and clustering all fused detection frame sequences to obtain a fused detection result. In addition, the application also relates to a blockchain technology, and the target detection model can be stored in a node of the blockchain. The application further provides a target detection device based on result clustering, an electronic device and a storage medium. The application can be applied to the fields of financial bill identification and medical imaging identification, and can improve the accuracy of target detection.

The present application relates to a kind of spine three-dimensional posture detection system, and it is related to scoliosis diagnostic technical field.The system mainly includes: through the gait video sequence of the video acquisition module multi-angle acquisition of the detected person in natural walking state;First detection module determines the scoliosis risk level of the detected person according to gait video sequence;If scoliosis risk level is greater than preset level, then through multimodal data acquisition module, the X-ray film of the full spine of the detected person in standard static posture, millimeter wave imaging data, infrared thermal imaging data and plantar pressure data are synchronously collected;Second detection module generates scoliosis diagnosis report according to the X-ray film of the full spine of the detected person in standard static posture, millimeter wave imaging data, infrared thermal imaging data and plantar pressure data;Diagnosis output module outputs the scoliosis diagnosis report corresponding to the detected person.

The present application relates to the field of optimal design of clamping force of constant force micro-gripper, and particularly relates to a kind of optimal design method of clamping force based on constant force micro-gripper.The present application aims at the technical problem that prior art cannot optimize the clamping force of constant force micro-gripper according to structural parameter optimization design variable, and adopts the method of establishing the combined response surface model between the clamping force of constant force micro-gripper and its structural parameter optimization design variable, realizes the optimization of the clamping force of constant force micro-gripper, compared with prior art, the present application solves the problem of low accuracy of response surface model obtained by single experimental design method, and improves the reliability of the optimal clamping force parameter of final output.

The invention discloses a defect detection method for a photovoltaic power station and a related device, and belongs to the technical field of photovoltaic power station inspection, and the method comprises the steps: collecting an infrared thermal imaging image and latitude and longitude data of a photovoltaic module; the infrared thermal imaging image is preprocessed; key features of the preprocessed infrared thermal imaging image are extracted, and position information of the key features in the photovoltaic string is obtained according to the latitude and longitude data; and inputting the key features of the infrared thermal imaging image into a defect detection model for identification to obtain a defect detection result, and obtaining defect position information according to position information of the key features in the photovoltaic string. According to the invention, the problem of low precision in defect identification of the photovoltaic module in the prior art can be solved.

The utility model belongs to the technical field of battery pack box body structures, and discloses a battery pack box body frame structure which comprises a frame component and a reinforcing component consisting of a vertical plate component and a transverse plate component. Through the arrangement of the vertical plate component, the thickness of the second side edge can be increased, that is, the wall thickness of the side frame of the lifting lug is increased, the fatigue damage of a steel material of the second side edge is reduced, and the vertical plate component plays a positive optimization role in the aspects of airtightness, damage and stress of the frame component; the strength of the interior of the frame component in the width direction can be enhanced, and when the battery pack is subjected to extrusion, column collision and other working conditions, large damage resisting capacity can be provided, so that the internal structure of the battery pack is protected.