1070 results about "Positioning equipment" patented technology

Apparatus, systems, and methods for mapping utility lines in utility potholing operations are disclosed. Pothole mapping apparatuses, systems, and methods may be employed in utility locator devices and utility locating systems to map potholed utility lines. Data generated via pothole mapping may be used to calibrate utility depth measurements in utility locator devices and systems. Further, information revealed about utility lines during potholing procedures may be used to train neural networks and utilize artificial intelligence in generating predictions regarding the positions and characteristics of utility lines.

The invention discloses a personnel trajectory drawing method and system based on an AI algorithm. The method comprises the following steps: acquiring a positioning equipment signal and monitoring video data; performing dynamic Kalman filtering denoising processing on the positioning equipment signal to obtain first track data, and performing adaptive illumination compensation enhancement processing on the monitoring video data to obtain first video data; performing trajectory prediction compensation on the signal interruption segment based on an LSTM neural network; personnel motion posture features and scene semantic features are extracted; constructing a space-time correlation graph by adopting a graph convolutional neural network to obtain enhanced trajectory data; performing multi-scale trajectory reconstruction based on an improved Transform architecture to generate final personnel trajectory information; and outputting a visual trajectory report including trajectory precision evaluation, abnormal behavior marking and an electronic fence trigger event. According to the method, deep fusion of multi-source heterogeneous data and accurate reconstruction of the trajectory are realized, and continuity and reliability of personnel trajectory drawing in a complex scene are remarkably improved.

The invention relates to the technical field of urban fire safety rescue, in particular to a low-altitude fire fighting system and method based on urban CIM and Beidou positioning. According to the system and the method, full space-time accurate positioning is realized through the Beidou differential base station and the UWB indoor positioning equipment; integrating the urban information model system and unmanned aerial vehicle cluster data, and constructing a multi-source heterogeneous data set; a coordinate system is unified based on a space-time reference calibration module, and fire behavior prediction, path planning and resource scheduling are realized through AI computing nodes; the unmanned aerial vehicle task distribution module is used for realizing multi-vehicle cooperative rescue; and iteratively optimizing system parameters through a closed-loop adaptive optimization module. The method is suitable for fire emergency rescue in an urban complex building environment, and the rescue response speed, the decision-making precision and the cooperative combat capability are remarkably improved.

Systems, methods, and / or apparatuses are provided herein for positioning devices in a network using estimated measurements. A wireless transmit / receive unit (WTRU) may determine positioning accuracy based on one or more actual and / or inferred measurements. The WTRU or a network entity may train and / or implement one or more artificial intelligence (AI) and / or machine learning (ML) models to determine the positioning accuracy.

The invention discloses an intelligent driving control method and system for an unmanned ship, and belongs to the field of unmanned driving control. Firstly, the position and speed of the unmanned ship and the positions and speeds of surrounding obstacles are obtained through a sensor and a positioning device, then dynamic path tracking is carried out in combination with global path planning and local path planning, and finally the unmanned ship is driven to sail along an optimized path by controlling the course and an accelerator. Local path planning adopts an improved dynamic window method, and an unmanned ship trajectory prediction evaluation function is modified by introducing a dynamic risk evaluation layer and a rule compliance layer; the dynamic risk evaluation layer is used for designing a collision risk evaluation function to dynamically screen a speed sampling space and rejecting a speed vector conflicting with a predicted trajectory of a moving obstacle; and the rule compliance layer classifies the meeting situation, introduces a rule evaluation function to perform weight correction on the candidate velocity vector, and drives the unmanned ship to generate a course adjustment strategy conforming to the collision avoidance rule. The unmanned ship realizes full-autonomous cruise, high-precision obstacle avoidance and path tracking in a complex marine environment.

The rubber stripping device comprises a horizontally-arranged machine base, a V-shaped block clamping assembly, a quick dismounting and mounting positioning cylinder assembly and a variable-diameter type centering column assembly are sequentially installed on the machine base, the V-shaped block clamping assembly is used for clamping and fixing the rubber pipe, and the V-shaped block clamping assembly is used for clamping and fixing the rubber pipe. The quick dismounting and mounting positioning cylinder assembly is used for carrying out primary diameter positioning on the rubber pipe, and the variable-diameter centering column assembly is used for carrying out inner diameter positioning on the rubber pipe; the automatic feeding device has the beneficial effects that the variable-diameter centering column assembly and the rapid dismounting and mounting positioning cylinder assembly are designed to conduct double step-by-step positioning on the rubber pipe, the positioning mode is more reasonable and efficient, the V-shaped block clamping assembly and the ball screw mechanism are designed to achieve automatic feeding of the rubber pipe, operation is more convenient and rapid, time and labor are saved, and the automation degree is higher; the variable-diameter centering column assembly can adapt to accurate positioning of rubber pipes of different models, equipment transformation is rapid and convenient, the rubber pipes of different models can be machined, and cost is saved.

The invention provides a Beidou-based hoisting positioning error dynamic compensation method, system and platform, and relates to the technical field of intelligent construction. In order to solve the problem that in the prior art, a hoisting positioning error compensation method is low in compensation precision, positioning data, attitude data and environment data of a bridge component are synchronously collected through Beidou positioning equipment; decomposing the positioning data into an effective signal component, a multi-path interference component and a noise component, and extracting the effective signal component; carrying out dynamic fusion on the effective signal component, the attitude data and the environment data to obtain fusion data; according to hoisting historical data in a preset time period, training to obtain an error prediction model; inputting the positioning data, the attitude data and the environment data obtained in real time into the prediction model to obtain a prediction error; and performing dynamic compensation on the fused data according to the prediction error, and outputting final positioning data. The dynamic compensation method is high in compensation precision.

The invention relates to the technical field of archive management, and discloses an RFID archive management positioning device which comprises a frame body, a layer plate, a controller, an electronic door lock, a touch operation screen, an RF read-write module, an ultrahigh frequency RF antenna, a position indicator light belt, universal wheels, a camera, a glass door and a sensing assembly. Wherein the shelf board is located in the rack body and used for placing file bags or file boxes, the ultrahigh frequency RF antennas are distributed at the positions perpendicular to the shelf board and parallel to the glass door, the position indicator light belt is installed on the shelf board, and the touch operation screen is installed on the glass door. According to the invention, accurate positioning in a high-density scene is realized through cross-type ultrahigh-frequency antenna layout and an optimized positioning algorithm, the algorithm eliminates environmental interference through RSSI signal strength normalization processing, reduces response time delay error through a multipoint sampling average value method, and combines a trilateration principle with multiple groups of antenna data, so that the positioning accuracy is improved. And the positioning error can be controlled within the range of + / -1 file.

A system for inductive energy transmission may include a stationary induction charging device, a mobile induction charging device, and a positioning device configured to detect a relative position of respective charging coils of the charging devices during charging. The positioning device may include a transmitting device and a receiving device that are each arranged in a respective one of the charging devices. The transmitting device may include at least two transmitters that simultaneously emit a respective transmission signal with an associated predetermined frequency. The receiving device may include a receiver configured to output a superimposition of all received transmission signals as a time-dependent received signal. The positioning device may be configured to i) determine an associated amplitude for each transmission signal from the time-dependent received signal and / or ii) provide a position information item from the determined amplitudes. The position information item may represent the relative position of the coils.

Disclosed is a coarse positioning apparatus for a stage apparatus, the coarse positioning apparatus comprising: at least one gas spring, each said at least one gas spring comprising a piston; and at least one electromagnetic actuator; wherein said at least one gas spring and said at least one electromagnetic actuator are operable to each apply respective complementary forces to said stage apparatus so as to accelerate said stage apparatus for coarse positioning of said stage apparatus, and wherein at least said gas spring is coupled to said stage apparatus throughout each full stroke of said stage apparatus.

The invention discloses a train operation electronic map construction method and system based on meta learning, and the method comprises the steps: firstly synchronously collecting the geographic coordinate data of a train high-precision positioning device RTK and the kilometer post data of a train operation monitoring device LKJ, and building a fusion sequence of time-space alignment through time alignment and interpolation processing; electronic map construction is converted into a regression problem of'latitude and longitude backstepping kilometer post ', and a parameterized model is adopted to describe a nonlinear mapping relation between the two; introducing a deviation correction model to compensate RTK drift and kilometer post errors; through a meta-learning mechanism, general initial parameters are learned based on a model-independent meta-learning strategy in an offline stage, and a small number of samples are utilized to quickly adapt to a new line or dynamic deviation in an online stage; and finally fusing the correction data to generate and continuously update the electronic map. According to the method, the electronic map construction precision, the new line adaptation capability and the long-term stability are improved, and the high-precision positioning and real-time calibration requirements of rail transit are met.

The invention discloses a multi-device network access method which comprises the following steps: time-sharing enabling: a master station controls the network distribution process of a slave station by pulling down a GPIO (General Purpose Input / Output) pin; directional broadcasting: the master station sends configuration information to the slave station through the broadcast address; dynamic response is carried out, after the slave station receives the configuration information, distribution network information is fed back to the master station, and binding of the hardware identification and the logic address is carried out; and closed-loop confirmation: the master station sends a confirmation response message to the slave station, and the network distribution process of the slave station is ended by pulling up the GPIO pin. The invention also discloses a multi-device network access system. According to the method and the device, the technical problems that the upper-level equipment needs to manually allocate the sub-equipment address or the equipment position cannot be accurately positioned in the hierarchical topology by adopting broadcast type automatic allocation, and the traditional polling mechanism needs to wait for response step by step in the traditional scheme are solved.

The invention relates to pre-positioning equipment for wafer processing, which comprises a working table, a base is rotatably arranged on the top end surface of the working table, a rotation driving device is arranged between the base and the working table, a bearing centering plate is movably arranged on the top end surface of the base, and a positioning device is arranged on the bearing centering plate. A translation driving device is arranged between the bearing centering plate and the base; before edge searching is carried out on the wafer, the wafer with the drooping edge is leveled step by step, and then the leveled wafer is dispersedly supported and kept in a flat state. According to the invention, the leveled wafer can be dispersed, adsorbed and fixed without shifting and shaking during the period of being driven to rotate for a plurality of circles and being subjected to edge searching, the wafer can be kept in a flat state in real time, errors can be reduced during edge searching of the wafer, and deviation of pre-positioning of the wafer cannot be caused.

A positioning apparatus includes a support structure including a top plate and legs extending downward from four corners of the top plate; a hoisting unit including a first hoisting plate, piston members, a second hoisting plate, two pressing blocks, and a first actuator; and a clamping unit including two opposite second actuators and two pushing blocks. The positioning apparatus is used for cell electrode plate groups of a lead-acid battery.

Described herein are techniques for determining motion characteristics of trains traveling along a train track. In some embodiments, a processor may determine an estimated position of a train using an observed position obtained using one or more UWB antennas and an observed position obtained using one or more GNSS receivers. In some embodiments, a processor may access information specifying a geometry of a train track and determining the position of a train along the train track using an observed position determined using one or more UWB antennas and / or GNSS receiver(s) and the information specifying the geometry of the train track. In some embodiments, a processor may determine estimated positions of a train using the geometry of the train track and at least one observation of the train obtained using one or more positioning devices and select the position of the train from among the estimated positions.

The invention discloses an adaptive positioning correction method for a tunnel environment, and the method comprises the steps: preliminarily restoring the position of a mobile device to a tunnel axis through inertial navigation, and employing inherent static features (such as a cable support, a fireproof door, and a duct piece joint) in a tunnel as a reference; and the automatic correction of the SLAM accumulative error is realized by measuring the distance from the feature object. And meanwhile, an intelligent filtering algorithm is adopted to effectively suppress dynamic object interference, so that the positioning precision and the system robustness are remarkably improved, and reliable technical support is provided for intelligent operation and maintenance of the cable tunnel.

The embodiment of the invention discloses a high-precision wafer positioning method. The method comprises the following steps: calibrating an image mechanical coordinate affine matrix M by controlling a translation mechanism to drive image data acquired by an image acquisition device in advance; the rotating platform is controlled in advance to sequentially rotate to a first angle theta1 and a second angle theta2; controlling the translation mechanism to drive the image acquisition device to be aligned with the calibration circle of the rotating platform in sequence, and recording pose data of the image acquisition device at theta1 and theta2; calculating a rotation center coordinate of the rotation platform according to the two angles and the pose data; during positioning, controlling the wafer to rotate to a plurality of preset angles along with the rotating platform, and collecting image information at each preset angle; extracting image coordinates of the edge feature points from the image information; converting each image coordinate into an absolute coordinate by using M; carrying out inverse rotation calculation on the absolute coordinate, and calculating the center coordinate of the target wafer through circle fitting; and obtaining an absolute deviation according to a difference value between the rotation center coordinate and the center coordinate of the wafer.

Embodiments of the present disclosure relate to methods, devices and computer readable media of communication. A network device determines information of a repeater device and an indication indicating whether the repeater device is used for communication between the network device and a terminal device, and transmits the information of the repeater device and the indication to a positioning device for positioning the terminal device. In this way, positioning accuracy may be improved.

The invention relates to the technical field of highway guardrail height detection, in particular to a highway guardrail height detection method based on line knot light, and the method comprises the steps: installing a line structured light scanner, a high-definition camera and real-time dynamic differential positioning equipment at the side of a detection vehicle to construct a vehicle-mounted system; the method comprises the following steps: synchronously acquiring guardrail three-dimensional point cloud, images and vehicle positioning data when a vehicle runs according to preset parameters; identifying the type of the guardrail by using an instance segmentation model pre-trained by an edge calculation unit, and outputting a code; performing point cloud dynamic compensation, road reference surface extraction and guardrail feature extraction on the acquired data based on the guardrail type; and finally calculating the actual height of the guardrail according to the elevation difference between the road reference surface and the guardrail top surface. According to the method, through multi-sensor fusion, intelligent identification and a targeted data processing algorithm, high-precision and real-time dynamic detection of different types of guardrails is realized, the problems of low efficiency, poor precision and weak adaptability of a traditional method are solved, and the method can be widely applied to highway guardrail safety detection scenes.

A navigation and positioning device including at least an inertial measurement unit, a GNSS measurement receiver, a unit for modeling the displacement(s) of the vehicle, a main Kalman filter calculating navigation data corrections by data hybridization, and at the output of the main Kalman filter at least two distinct Kalman sub-filters including a first Kalman sub-filter calculating navigation data corrections by hybridization of data provided by the inertial measurement unit and by the receiver of GNSS satellite positioning measurements, and a second Kalman sub-filter calculating navigation data corrections by hybridization of data provided by the inertial measurement unit and by the unit for modeling displacement(s) of the vehicle.

A control system is provided for inventory management facility with a plurality of containers. The control system includes a server, and a container handler operable within the inventory management facility. The container handler tractor comprises onboard sensors configured to generate sensor data of at least one container of the plurality of containers, a geolocation device configured to generate a geolocation value for the at least one container, a wireless transceiver, and a controller coupled to the onboard sensors, the geolocation device, and the wireless transceiver. The controller is configured to transmit the sensor data and the geolocation value for the at least one container to the server. The server is in communication with the container handler and is configured to generate a database associated with the sensor data, the database comprising, for each container, a container logo image and the geolocation value. The geolocation value includes a latitude value, a longitude value, and an altitude value.

A wireless charging system may include a wireless power receiving device that receives wireless power signals from a wireless power transmitting device. The wireless power transmitting device may include positioning equipment that moves a wireless power transfer coil to align the wireless power transfer coil for wireless power transfer. The wireless power transmitting device may periodically assess coil alignment during a wireless power transfer session by intermittently checking efficiency or an inductive coupling factor.

The invention discloses an intelligent management and control system for a digital flow of port production operation, and particularly relates to the field of data management, and the system comprises a port order information extraction module, an operation plan generation module, a port departure operation perception module, an operation risk analysis module, a position recognition module, an abnormal meteorological analysis module, and an operation load prediction module. According to the method, the operation plan is produced, time state sensing and departure ship monitoring are carried out based on the operation plan, and then the operation risk is analyzed, so that departure is flexibly adjusted, position deviation and meteorological abnormity are sensed through the positioning equipment and the environment sensing terminal after departure, and the working efficiency is improved. When the position of the ship deviates due to stormy waves, the weather and deviation relevance is quantified, and the subsequent operation plan is optimized accordingly, so that the future production operation difference caused when the port operation is greatly influenced by external factors such as weather, tide and channel conditions is avoided, and the operation and transportation efficiency can be improved on the premise of ensuring normal production operation.

Disclosed are a positioning method, a gateway, and a positioning device. The positioning method comprises: receiving, by means of a Bluetooth gateway, a data packet sent by a terminal device and comprising target position information, and position information of a Bluetooth node closest to the terminal device; determining the closest Bluetooth node according to the position information of the closest Bluetooth node; receiving, by the closest Bluetooth node, a data packet sent by the terminal device and comprising CTE information; obtaining current position information of the terminal device according to the CTE information; and when the current position information of the terminal device is inconsistent with the target position information, obtaining, according to the current position information of the terminal device and the target position information, position information of a next Bluetooth node closest to the terminal device and navigation information, and sending the navigation information to the terminal device.

Examples in the present disclosure relate to systems and methods for detecting and rejecting a non-user hand in the context of egocentric hand tracking performed by an extended reality (XR) device. While the XR device is worn by a user, the XR device captures at least one image of a hand and processes the at least one image to detect the hand. After detecting the hand, the XR device determines positioning of the hand relative to the XR device or another object in a field of view of the XR device. The XR device detects that the hand is a non-user hand. In response to detecting that the hand is a non-user hand, the XR device excludes the non-user hand from the egocentric hand tracking such that the non-user hand is not tracked for the user.

The invention provides tunnel lining disease AI detection and positioning equipment, which relates to the technical field of tunnel engineering detection and comprises a data acquisition module, an edge calculation module and a cloud analysis module. According to the invention, the appearance image data, the three-dimensional point cloud data and the thermal imaging data of the tunnel lining are synchronously acquired through the multi-sensor array carried on the mobile carrier, unmanned continuous automatic detection can be realized, manual processing of subsequent mass data is avoided, then an end-side-cloud collaborative architecture is introduced, and the real-time performance of the tunnel lining is improved. The edge calculation module is responsible for real-time identification and preliminary positioning to ensure the detection efficiency, and the cloud analysis module maps two-dimensional disease information to a three-dimensional space through a multi-source data registration and fusion algorithm to accurately calculate the geometric dimension and absolute coordinates of the disease information. Meanwhile, in combination with thermal imaging data analysis, recessive diseases which cannot be found by a traditional method are effectively identified. According to the method, human eye interpretation is replaced by the artificial intelligence model, so that the objectivity and consistency of results are ensured.

The application provides a tunnel positioning method, device, equipment, medium and product, the method comprises the following steps: obtaining a plurality of network parameters reported by a user terminal when the user terminal is at a to-be-positioned point in a tunnel, predicted position data of the to-be-positioned point output by an inertial navigation system, and tunnel position data; based on the plurality of network parameters and the tunnel position data, a plurality of first MR fingerprint data are matched from an MR fingerprint library; similarity analysis is performed based on the plurality of first MR fingerprint data and the predicted position data, and MR fingerprint positioning data of the to-be-positioned point is obtained; and position data correction is performed based on the MR fingerprint positioning data and the predicted position data, and actual positioning data of the to-be-positioned point is obtained. The tunnel positioning method provided by the application can accurately calculate the positioning data of a user in a tunnel environment through an algorithm without the need to separately deploy a positioning device in the tunnel environment and without the need to be limited by hardware devices, so that the flexibility is improved while the accuracy is ensured.

A positioning apparatus for positioning workpieces in relation to at least one industrial robot, the positioning apparatus including a stationary base structure having a support surface for supporting one or more of the at least one industrial robot and a base surface for mounting to an installation surface; a first workpiece support for supporting a first workpiece; a second workpiece support for supporting a second workpiece; a support member supporting the first workpiece support and the second workpiece support, the support member being arranged to move between a first position and a second position; and a motor arranged to drive the support member between the first position and the second position, wherein the support surface is arranged between the motor and the base surface.

The invention relates to the technical field of fish biological measurement, in particular to a fish biological data measurement method based on machine vision and a matched device thereof, and comprises the fish biological data measurement method based on machine vision and the matched device used for collecting fish biological data. The matching device comprises a control host, an image acquisition camera, a weighing device, a positioning device and a storage transmission device, and the control host cooperates with each module to realize semi-automatic and high-precision acquisition of fish biological data, the convenience and the accuracy of data acquisition are improved; the weighing equipment is used for synchronously acquiring weight data of fishes; the positioning equipment is used for obtaining position information of a shooting site; and the storage and transmission equipment is used for storing and transmitting the obtained information data.

A positioning device includes at least one processor. The at least one processor detects a light source and a target object different from the light source in an image captured by an imager. A moving object has the imager and moves in a space. The at least one processor derives a position of the moving object in the space based on positions of the light source and the target object in the image and known positions of the light source and the target object in the space.