156results about How to "Improve positioning accuracy" patented technology

The application discloses a kind of based on multi-objective optimization algorithm's advertisement putting real-time effect tracking method, advertisement putting data analysis technical field, including step one: obtaining advertisement putting real-time behavior data;Step two: constructing advertisement putting effect window matrix;Step three: through improved MiniRocket network, execute advertisement effect conduction difference feature extraction and continuous response fragment aggregation processing;Step four: constructing multi-objective tracking objective function set and multi-objective optimization constraint condition;Step five: using improved MOEA / D algorithm, execute state traction decomposition optimization and fragment duration constraint neighborhood replacement processing;Step six: by Canberra distance, execute target deviation analysis processing;Step seven: match target advertisement plan's real-time effect tracking state.The application improves the accuracy of advertisement putting real-time effect tracking by improved MiniRocket network and improved MOEA / D algorithm.

The application provides a SAR target detection method combining feature fusion and position relationship awareness, comprising the following steps: constructing a real-time target detection model based on a Transformer, introducing a spatial detail compensation path into a mixed encoder and containing a mixed representation enhancement module; a Transformer decoder comprises a position relationship awareness module; inputting a SAR image into a trained target detection network, inputting multi-scale fusion features into the Transformer decoder, adjusting self-attention weight distribution according to the position relationship between queries in the same layer by using the position relationship awareness module, guiding spatial layout reasoning, and outputting a target detection result; and the target detection network is trained by using a weighted intersection over union zoom loss function based on a dynamic IoU weight guiding mechanism as a classification loss function. In this way, the target detection rate, positioning accuracy and overall robustness in a small target and dense scene are improved, and feature confusion under strong scattering interference is alleviated.

The invention relates to the technical field of temperature measurement, in particular to an insulating shield monitoring system based on temperature detection, which is characterized in that a continuous temperature track sample column is formed after a multi-measurement-position temperature sequence on the surface of an insulating shield is subjected to time sequence number proofreading, breakpoint elimination and temperature difference calculation at adjacent moments; a continuous temperature section and a temperature difference section serve as input to participate in temperature sequence modeling calculation, a support vector machine executes prediction operation on a same position measurement temperature evolution track and generates a reference temperature sequence, then Kalman filtering is used for conducting state recursion on a continuous period deviation record, and the continuous period deviation record is divided into a stable section, a slow rising section and a high-temperature section; the temperature state evolution link is constructed by counting the high-temperature section repetition times and the fall-back interruption times, the abnormal temperature rise evolution trend can be recognized under the conditions that the load fluctuates, the environment temperature changes and the shield thermal inertia exists, the thermal anomaly recognition capacity of the connecting part is enhanced, and the abnormal position positioning accuracy is improved.

The application provides an underwater positioning system for an underwater robot based on human-computer interaction. The method comprises the following steps: in response to a positioning request of a user, a multi-dimensional sensor network of the underwater robot is constructed; multi-dimensional monitoring data of a target space is dynamically collected along a moving track of the underwater robot by using the multi-dimensional sensor network; a multi-branch strategy network is used to pre-process the multi-dimensional monitoring data to obtain multi-dimensional data to be processed; a sparse feature map is generated by using ORB-SLAM3, and a local dense map is generated by using a point cloud registration ICP algorithm; a sparse feature map, a local dense map and a pose feature in the third data to be processed are fused by using EKF to obtain a local scene map; a segmented bundle adjustment algorithm is used to segmentally optimize the local scene map according to a motion mode, and positioning information of the underwater robot is output to the user in real time based on the local scene map. The positioning accuracy of the underwater robot can be improved, and the positioning efficiency of the underwater robot can be improved.

This invention discloses a welding clamping mechanism for metal parts of an elevator car, belonging to the field of elevator car metal part welding technology. It comprises a clamping mechanism one and a clamping mechanism two assembled on the outer surface side of the clamping mechanism one, with a welding robot arm mounted on the rear side of the outer surface of the clamping mechanism one. It includes a support frame installed at the middle of the upper surface of the clamping mechanism one, with a base plate connected to the upper surface of the support frame. This elevator car metal part welding clamping mechanism, with clamping mechanism one and clamping mechanism two assembled sequentially, facilitates alternating welding, saving material loading time. Side clamps, positioning components one and two limit and compress side rods one and two, improving the stability of the base plate during welding and preventing displacement. In conjunction with a heat-absorbing mechanism on the support frame, it performs heat absorption and cooling treatment based on the weld point position of the base plate, and works synchronously with a gas cooling system that can be linked.

The application provides a positioning method, device, system, electronic equipment and storage medium, and relates to the technical field of communication. The method comprises the following steps: acquiring mobile information of a plurality of wireless local area network hotspots; determining Doppler shift information according to communication channel information between the base station; screening the plurality of wireless local area network hotspots according to the Doppler shift information and the mobile information of the wireless local area network hotspots, and obtaining a plurality of stationary hotspots; and determining the position information of the current device according to the plurality of stationary hotspots. The high-precision positioning requirement of the user is met, the position information of the current device is obtained in time and accurately, and the use experience of the user is improved.

The utility model discloses a cell observation equipment with double camera module, including observation platform, first camera and second camera, and observation platform has a transparent observation area, and the observation area is used for placing the object to be observed, and the first camera is set below the observation area, is used for gathering the image information of observation area, to obtain the position of the object to be observed, and the second camera is set below the observation area, and the second camera is closer to the observation platform than the first camera, and the second camera can move to the just below the object to be observed according to the position of the object to be observed, to utilize the second camera to observe the object to be observed. The utility model discloses technical scheme has improved the alignment efficiency and alignment accuracy.

The invention discloses an unmanned aerial vehicle environment sensing and positioning method and system based on multi-sensor fusion, and belongs to the technical field of unmanned aerial vehicle positioning. The method comprises the following steps: acquiring original positioning information containing space coordinate information and time information; according to the invention, by calculating the positioning accuracy and the positioning offset degree of the original positioning information, the positioning stability of the original positioning information is comprehensively evaluated, and the original positioning information is divided into stable data and abnormal data; estimation parameters are obtained through calculation by means of stable points in the stable data, estimation points are generated in combination with points needing to be checked, correction values are generated based on the position deviation between the estimation parameters and the estimation points and used for correcting abnormal points in the abnormal data, and therefore correction of the abnormal data is guided by means of the characteristics of the stable data, and when the quality of positioning signals fluctuates, the accuracy of the positioning signals is improved. The positioning accuracy and the positioning data continuity of the final positioning data can be improved.

The application relates to the technical field of computer vision, in particular to a power safety monitoring image detection method and system, which comprises the following steps: inputting a to-be-detected power safety monitoring image and a generated image into a trained power safety monitoring image detection model respectively to obtain a detection result, the power safety monitoring image detection model comprises a feature extraction network structure, a feature distillation network structure and a multi-scale aggregation network structure in sequence, the feature extraction network structure is used for extracting local spatial features and global context information features from the to-be-detected power safety monitoring image and each generated image respectively, and fusing the two to obtain fused features corresponding to each image; the feature distillation network structure is used for extracting Value values and Key values from the fused features of each image, and obtaining splicing features based on the Value values and the Key values of each image; and the multi-scale aggregation network structure is used for processing the splicing features to obtain the detection result of the to-be-detected power safety monitoring image.

The application relates to the technical field of mobile terminal automatic testing, in particular to a mobile terminal full-scene automatic testing system based on AI visual identification and a testing method thereof, which comprises a backend control layer, an automatic driving layer, an AI visual identification layer, a time execution layer, a cross-platform adaptation layer and a tool support layer. The application reduces the dependence on UI element IDs in the mode of AI visual identification, does not need to modify scripts in iteration, can directly realize version control, improves the maintenance and testing efficiency, and has high positioning accuracy and compatibility.

This invention belongs to the fields of water environment monitoring, watershed pollution simulation, and smart water management. Specifically, it provides an integrated air-space-ground small watershed water pollution monitoring system, comprising: an airborne monitoring module for collecting spatial distribution data of water quality across the entire small watershed; a ground-based monitoring module for collecting continuous temporal water quality and hydrological baseline data of the small watershed; a multi-source data management module for data processing; a model engine module for constructing and running a distributed hydrological and water quality mechanism model of the small watershed; an adaptive parameter optimization module for automatically calibrating and dynamically updating the parameters of the distributed hydrological and water quality mechanism model of the small watershed; an early warning and source tracing module for obtaining early warning and source tracing results; a long-term prediction module for obtaining water quality prediction results; and a visualization decision module for displaying early warning and source tracing results as well as water quality prediction results. This invention realizes the monitoring, early warning, source tracing, and long-term prediction of water pollution in small watersheds.

The invention provides a cross-domain transfer learning laser ultrasonic layering defect detection method suitable for a composite material and application thereof.The method comprises the steps that firstly, multi-channel input containing a frequency domain, a time-frequency domain and Koopman operator characteristics is constructed for the problem of data distribution deviation caused by the batch difference of the composite material; secondly, extracting and fusing high-dimensional spatial-temporal features through a multi-channel attention mechanism and a graph convolutional network; and finally, migrating the defect features of the source domain to the target domain in combination with dynamic distribution self-adaption and domain adversarial training strategies. The method can effectively overcome model performance reduction caused by material attribute change, realizes high-precision layering defect identification and imaging under the condition of no target domain label, and is suitable for composite material detection in a complex industrial scene.

This invention discloses a broadband oscillation disturbance source localization method based on compressed sensing and graph convolutional neural networks (GCNs), comprising two stages: offline training and online localization. In the offline training stage, electrical quantities under subsynchronous / supersynchronous broadband oscillation modes are obtained using measurement data from actual systems or simulation examples, constructing a broadband oscillation offline sample library. Compressed sensing is used to encode and compress the electrical quantities in the offline sample library, obtaining a training set and a test set. The constructed GCN localization model is trained using the training set until the test set reaches the target localization accuracy, resulting in a broadband oscillation localization model. In the online localization stage, a substation collects electrical quantity data and compresses and encodes it using compressed sensing technology; the substation data is uploaded to the master station; at the master station, the feature matrix and system adjacency matrix are input into the trained GCN localization model, and the oscillation source location is output. This invention's method is applicable to broadband oscillation disturbance source localization under various operating conditions.

The invention discloses an operator position monitoring method, device and equipment and a medium, and the method comprises the steps: binding pre-obtained target operator information with corresponding business data, and generating a safety constraint of a target operator according to the business data; acquiring multi-source positioning data of the target operator in real time through a positioning terminal worn by the target operator, and inputting the multi-source positioning data into a preset neural network, so that the neural network performs data fusion on the multi-source positioning data to generate a correction position of the target operator; and through a preset reinforcement learning algorithm, according to the correction position and the security constraint, generating an optimal security path, and according to the optimal security path, carrying out monitoring and risk assessment on the current correction position of the target operator. According to the invention, the real-time performance and accuracy of the position monitoring of the operating personnel can be improved.

This invention relates to the technical field of deep integration of radio frequency identification (RFID) technology, indoor positioning technology, and intelligent algorithms. It discloses an RFID point-to-point positioning method and system that integrates inspection behavior characteristics. The method includes: within a single scanning cycle, using a mobile reading terminal to read multiple RFID tags and collect the identification information and multi-dimensional signal characteristics of each tag, including signal strength, TOA timestamp, and reading frequency; based on signal strength and reading frequency, eliminating invalid tags to obtain a candidate tag set; when the candidate tag set contains multiple tags, automatically determining a unique target tag from the multiple tags using a progressive judgment logic, where the inspection route information includes the order of each inspection node and its corresponding path weight; and outputting the physical location corresponding to the target tag as the current location. This invention fundamentally solves the technical problem of not being able to automatically distinguish valid locations when multiple tag signals conflict in traditional RFID tag-based positioning.

The utility model relates to the technical field of rubber colored rubber zipper pull slicing, in particular to a combined rubber colored rubber zipper pull slicing device which comprises a supporting frame, a supporting plate is arranged on the supporting frame, a protective cover is arranged on the supporting plate, a mounting frame is arranged on one side of the protective cover, the mounting frame is also arranged on the supporting plate, and a driving air cylinder is arranged on the mounting frame. An output shaft is arranged at the output end of the driving air cylinder, a control cabinet is arranged on one side of the mounting frame, a conveying belt is arranged on the supporting plate, a driving source is arranged at one end of the conveying belt, and a discharging plate is arranged at one end of the supporting plate and obliquely arranged. A cutting knife is arranged at one end of the output shaft, and a guide assembly is arranged on the inner wall of the protective cover. A cleaning assembly is arranged on the inner wall of the mounting frame; the guide assembly is used for guiding the rubber color glue on the conveying belt to be centered during operation; and the cleaning assembly is used for cleaning the surface of the cutting knife after cutting. Compared with the prior art, the cutting effect is prevented from being affected by residual glue accumulation.

The application provides a loop detection method and system based on a semantic ellipsoid, performs target detection, and obtains a preliminary ellipsoid model by constraining semantic point clouds obtained through target detection on a key frame; in subsequent observation, the model is continuously optimized through detection frame constraint and a nearest neighbor relationship semantic histogram is updated as a descriptor; in loop detection, optimal matching is performed on the current local semantic graph and global map semantics based on descriptor similarity and geometric consistency, a transformation matrix of the local graph to the global map is calculated according to the matching result, a loop matching mechanism is established based on inliers, and the map loop is corrected. The application extracts semantic information in a scene through target detection, obtains a scene semantic graph through ellipsoid modeling and optimization, and realizes loop detection based on map semantic matching suitable for large visual angle differences.

The utility model discloses a kind of near-field induction type socket, including AC power supply module, AC power supply module is electrically connected with bluetooth induction module and control module respectively, for supplying power to bluetooth induction module and control module;The bluetooth induction module includes three for positioning target mobile device's bluetooth signal receiver, control module includes first electromagnetic relay and main control chip;The signal output end of three bluetooth signal receivers is connected with the signal input end of main control chip, and the signal output end of main control chip is connected with the signal input end of first electromagnetic relay;The utility model is accurately positioned to target mobile device by three bluetooth receivers according to triangulation principle, to control socket energization condition by first electromagnetic relay, realize the "non-inductive" use of socket and monitoring range controllable, improve positioning accuracy simultaneously.

The invention discloses a monitoring method and system for operation safety of an industrial machine, a storage medium and electronic equipment. The method comprises the following steps: acquiring and displaying a three-dimensional alarm area of the industrial machine in an imaging visual field of image data acquisition equipment; acquiring and displaying position information of a human body target appearing in the imaging view; and alarm processing is carried out after the alarm signal is received. According to the invention, the alarm accuracy of industrial machinery operation safety monitoring can be effectively improved.

This application discloses a positioning method, apparatus, terminal, and communication device, belonging to the field of communication technology. The positioning method of this application includes: a first terminal measuring a physical secondary link (SL) positioning reference signal sent by a second terminal; the first terminal sending first information to a target communication device based on the measurement of the SL positioning reference signal; wherein, the first information includes at least one of the following: line-of-sight (LOS) indication information; measurement information of the SL positioning reference signal; location-related information; the target communication device is the second terminal, a preset terminal, a base station device, or a core network device.

The invention belongs to the technical field of medicine, and discloses a thoracic aorta in-situ fenestration and whole-course brain protection integrated device and method. According to the method, a bundling balloon is formed by a plurality of small balloons, the different small balloons are controlled to be inflated or shrunk under pressure relief, and the angle of a puncture needle is adjusted through the bundling balloon catheter. And the far-end protection umbrella covers the cluster balloon catheter and is used for preventing thrombus from escaping to the far end. According to the invention, the bundling balloon composed of a plurality of small balloons is designed, and the angle of the puncture needle is adjusted by controlling the different small balloons to expand by filling or shrink by releasing pressure, so that the time for an instrument to enter a membrane rupture window is greatly shortened, and the positioning accuracy of a membrane rupture point of the covered stent is improved; meanwhile, a far-end protective umbrella is arranged to prevent thrombus and other foreign matters from escaping to the far end.

This invention relates to the field of forklift technology and discloses an electric stacking attachment for round goods, including a fork carriage, a load-bearing guide rod installed inside the fork carriage, fork arms inside the fork carriage, self-lubricating copper sleeves installed on the sides of the fork arms, a lead screw drive motor installed inside the fork carriage, a reduction gearbox connected to the lower side of the lead screw drive motor, the output ends of the left and right sides of the reduction gearbox being connected to the inner ends of the transmission lead screw, a transmission nut installed inside the fork arm being connected to the transmission lead screw, an automatic limit switch installed inside the fork carriage being electrically connected to the forklift controller, and a V-shaped groove opened at the end of the fork arm away from the fork carriage, with support blocks fixedly installed on the front and rear walls of the V-shaped groove. This invention improves the positioning accuracy of the forks through the configuration of the fork arms and the transmission lead screw, while eliminating the need for pallets and avoiding increased material costs for enterprises.

The application discloses a meter reading method, device, equipment and medium for an electric energy meter. The method comprises the following steps: obtaining electric energy meter data of a to-be-read electric energy meter, wherein the electric energy meter data comprises service attribute data, communication state data and user power consumption data; determining a priority score of the to-be-read electric energy meter based on the electric energy meter data; determining a meter reading strategy of the to-be-read electric energy meter based on the communication state data and the priority score, and performing a meter reading operation on the to-be-read electric energy meter based on the meter reading strategy; when the meter reading operation is abnormal, obtaining signal feature data of the to-be-read electric energy meter, determining an abnormal reason based on the signal feature data, and generating a corresponding abnormal repair strategy. The method calculates a priority score through multi-dimensional electric energy meter data, determines a meter reading strategy based on the communication state data and the priority score, and performs a meter reading operation, thereby realizing dynamic matching of communication resources and meter reading demands, and improving meter reading execution efficiency and communication resource utilization efficiency.

The present application relates to the field of computer image processing, in particular to a feature enhancement and self-adaptive regression tea leaf picking point positioning method and system. The basic principle of the method is: firstly, the collected tea bud image is preprocessed for clarity; then, a two-stage model architecture of detection first and then positioning is adopted, an improved YOLOv5 network is used in the detection stage to robustly detect multi-scale buds and suppress background interference; then, the target suitable for picking is screened out and cut into a single bud image; in the positioning stage, an improved YOLOv11-Pose network integrated with an adaptive convolution kernel module is used to accurately regress the picking point coordinates; finally, the coordinates are mapped back to the original image and output. The core technical effect of the present application is: through the synergistic optimization of the two-stage process and the targeted improvement of the model components, the problem of inaccurate picking point positioning and poor robustness caused by image degradation, multi-scale targets, complex background and variable bud morphology in the natural environment is effectively solved, providing a high-precision solution for tea leaf automatic picking.

The application discloses a vehicle positioning method, device, equipment, medium and product, and relates to the technical field of automatic driving. The vehicle positioning method comprises the following steps: acquiring a first label coordinate of an ultra-wideband label device on a target vehicle in a first coordinate system, the first coordinate system being a plane rectangular coordinate system constructed with a first ultra-wideband base station as an origin; converting the first label coordinate into a second coordinate system and determining a first pose matrix of the ultra-wideband label device in the second coordinate system, the second coordinate system being a world coordinate system with an inertial measurement unit as an origin; determining a sensor pose matrix matched with a target vehicle sensor according to the first pose matrix, the target vehicle sensor comprising at least one of a radar and a camera; and performing fusion positioning on the target vehicle based on the first pose matrix and the sensor pose matrix to obtain a vehicle positioning result of the target vehicle.

The application discloses a kind of scientific research reagent purchase risk trace management system and method, server establishes risk trace session, reads reagent directory, supplier qualification, risk attribute, trace code, inventory location, take permission and temperature and humidity verification version, access purchase application, supply, acceptance, transportation temperature and humidity, bottle code warehousing and take data;Merge platform commodity number, CAS number, supplier article number, brand, specification, storage condition and risk attribute, form reagent identification benchmark record and purchase risk object;Form supply qualification verification, supply consistency, complete arrival evidence and transportation condition state, write into bottle-level trace object;According to bottle-level trace object, form risk trace evidence chain, and register take release, pending, isolation, prohibition, recall and review disposal path.The method can improve the risk positioning accuracy in the process of purchase, warehousing, taking and recalling.

The utility model discloses a plate conveying device for a workpiece hanging plate transfer cabin of a large vacuum coating machine, and belongs to the technical field of plate conveying of the transfer cabin of the vacuum coating machine, and the plate conveying device is characterized by comprising a transfer cabin, and an automatic controller is arranged on the right side of the transfer cabin. The driving structure drives the conveying belt to rotate according to an instruction of the automatic controller, so that the workpiece hanging plates clamped by the soft clamps on the outer side of the conveying belt are continuously conveyed, the workpiece hanging plates are efficiently transferred, and when a single workpiece hanging plate moves between the top clamping plate and the bottom clamping plate, a distance sensor in the clamping plate senses that the workpiece hanging plate is close to the workpiece hanging plate; when the workpiece hanging plate is clamped, a signal is fed back to the automatic controller, the automatic controller immediately starts the electric push rod in the moving plate to push the clamping plate to accurately clamp the top and the bottom of the workpiece hanging plate under the assistance of the distance sensor, and then the automatic controller starts the electric telescopic rod to push the moving plate and the clamped workpiece hanging plate to a feeding port of the coating machine.

The invention discloses an LED display diaphragm structure and an assembling method thereof, and aims to provide the LED display diaphragm structure which is simple in assembling operation and the assembling method thereof, the LED display diaphragm structure comprises a display diaphragm, and the display diaphragm comprises a display area and a non-display edge area surrounding the display area; the magnetic positioning assembly is fixed in the non-display edge area of the display diaphragm; the electric connector is fixed at the edge of the display diaphragm; a magnetizer I corresponding to the magnetic positioning assembly is fixed on the mounting back plate; an electric plug groove matched with the electric connector is formed in the mounting back plate, and the electric connector is electrically connected with the electric plug groove. The invention has the beneficial effects that the purpose of simple assembly operation is achieved, the production efficiency is improved, the manufacturing cost is reduced, the maintenance or replacement process is more convenient, and the maintainability and market competitiveness of the product are improved.

The application relates to the field of marine ecological environment protection, and specifically discloses an automatic monitoring and analyzing system for marine ecological environment based on an intelligent unmanned ship, which comprises the following modules: a pollution identification module that identifies pollution areas by monitoring real-time sea pollution concentration data through the unmanned ship and combining threshold values; a boundary construction module that constructs the boundary of a pollution core area by grid division of the pollution area and extraction of the highest concentration interval node; a path analysis module that generates pollution diffusion flow lines by adjacent node data comparison based on secondary grid division, water flow velocity, direction and a pollution concentration correction algorithm; and a source positioning module that locates pollution sources according to flow line direction, intersection density and divergence width and dynamically dispatches the unmanned ship for detection. Through the collaborative analysis of the modules, the system realizes the rapid identification of a pollution area, dynamic tracking of a diffusion path and automatic positioning of a pollution source, and improves the efficiency of marine environment monitoring and the response capability of pollution control.

The application discloses a chessboard corner point positioning method and device, a storage medium and an electronic device. The method comprises the following steps: acquiring a binary image corresponding to a chessboard image, wherein the chessboard image is obtained by shooting a chessboard by using a camera; determining a plurality of connected domains in the binary image according to the values of the pixel points in the binary image; determining a vertex set from the pixel points in the corresponding connected domain according to the pixel coordinates of the pixel points in the binary image and each connected domain; and determining the world coordinates and the pixel coordinates of the corner points in the chessboard according to the pixel coordinates of the vertices in each vertex set. Therefore, the positions of the corner points of the chessboard can be positioned without calculating the pixel gradient, and the problem that the positioning of the corner points of the chessboard is incorrect due to pixel errors in the gradient calculation is avoided, and the positioning accuracy of the corner points of the chessboard is effectively improved.