1378 results about "Positioning equipment" patented technology

The invention discloses an industrial equipment fault early warning analysis method and system based on a graph neural network, and relates to the technical field of intelligent fault diagnosis and equipment state monitoring, and the method comprises the steps: constructing a time slice data tensor, and forming a graph neural network input structure; on the basis of the graph neural network input structure, feature learning and correlation analysis of the graph neural network are executed, and node-level embedding representation is obtained; and based on the node-level embedding representation, calculating fault relevance response distribution of the nodes, evaluating propagation risks and positioning equipment fault sources. According to the method, the problem that a traditional method cannot effectively express a spatial structure or a cooperative relationship between measuring points in an early modeling stage is solved, the spatial perception capability of overall modeling is improved, so that a data foundation is laid for subsequent feature extraction and anomaly analysis, and the reconstruction accuracy is improved by comparing an embedded reconstruction value with an original observation value and calculating a node-level reconstruction error. Fault influence range evaluation and traceability positioning are realized, and quantitative support is provided for early warning response and maintenance decision.

The invention relates to the technical field of unmanned aerial vehicles, and discloses an unmanned aerial vehicle intelligent inspection method for construction site operation safety, which comprises the following steps: step 1, deploying an unmanned aerial vehicle, personnel positioning equipment and a base station, and establishing a time synchronization network and a space coordinate conversion model through the base station; step 2, when the unmanned aerial vehicle executes an inspection task, detecting a shielding area in an image in real time based on a preset route, and generating a dynamic obstacle avoidance path according to the three-dimensional model to control the unmanned aerial vehicle to perform multi-view supplementary shooting; and step 3, carrying out space-time alignment on the multi-view supplementary shooting image and positioning data acquired by the personnel positioning equipment. According to the invention, the technical scheme of dynamic shielding perception and multi-view adaptive supplementary shooting is adopted, a high-precision space coordinate system constructed by a reference station and a real-time shielding detection mechanism are combined with dynamic obstacle avoidance path planning, and comprehensive coverage inspection of a high-altitude and hidden operation area is realized.

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 discloses an air-ground cooperation system and an air-ground cooperation method based on intelligence, and relates to the field of intelligent unmanned system control. The system comprises an intelligent unit, a multi-element sensing unit, a communication unit and a task execution unit. Based on a Vision-Language-Action (VLA) framework, an intelligent unit with a body realizes end-to-end analysis of a natural language instruction and a visual instruction, fuses sensing data of an unmanned aerial vehicle and an unmanned vehicle, generates a joint feature code with time-space alignment, and dynamically allocates a cooperative task. The communication unit supports low-delay end-to-end communication and real-time data synchronization between clusters, and ensures efficient interaction between agents. The multi-element sensing unit is integrated with a visual camera, a laser radar and high-precision positioning equipment, and air-ground environment multi-mode sensing is achieved. And the task execution unit supports the unmanned aerial vehicle to complete coordination actions in a complex scene. According to the scheme, the problems of insufficient multi-mode perception, limited natural language interaction and low dynamic cooperation efficiency of the existing system are solved, and the cooperation capability and system robustness of the unmanned aerial vehicle and the unmanned aerial vehicle in a complex environment are remarkably improved.

The invention relates to a partial discharge positioning method, equipment and device and a readable storage medium. The method comprises the following steps: collecting a visible light image and an infrared image of a to-be-detected area containing a partial discharge phenomenon, fusing the visible light image and the infrared image to generate a double-spectrum positioning map, collecting a sound wave signal of the to-be-detected area through a spiral microphone array, carrying out fusion processing on the double-spectrum positioning map and a sound source thermodynamic diagram of the sound wave signal, and obtaining a sound source thermodynamic diagram of the sound wave signal. Generating a comprehensive discharge positioning map, adopting a clustering algorithm to identify a plurality of features of the visible light image, the infrared image and the sound wave signal, determining the discharge position and the discharge type of the partial discharge phenomenon in the comprehensive discharge positioning map based on the plurality of features, and outputting the comprehensive discharge positioning map. Marking the discharge position and the discharge type of the partial discharge phenomenon in the comprehensive discharge positioning map; the optical, thermal and acoustic multi-mode information of the discharge is integrated, the positioning precision of the partial discharge is greatly improved, the fault condition can be conveniently and quickly judged, and the quick inspection requirement is met.

A method is provided for positioning of a device within an environment. The device may access a positioning model stored on the device, wherein the positioning model is based on training of positioning in the environment and represents characteristics of wireless signals in an area in which the device is located. The device may acquire sensor data by one or more sensors of the device, wherein the sensor data comprises position-dependent measurements for one or more positions of the device, wherein each position-dependent measurement relates to a wireless signal transmitted between the device and a radio transmitter arranged in the environment. The device may determine a location of the device within the environment based on inputting of the sensor data to the positioning model.

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.

The invention discloses chip picking and positioning equipment for chip packaging, and relates to the technical field of chip packaging. The equipment comprises a case, a mounting frame, a conveying assembly and a picking and positioning structure, an adsorption air channel, a screw hole pipe, a limiting air pipe and other parts are arranged in an adsorption arm in the picking and positioning structure, and movement and function control of an adsorption rod are achieved through spiral transmission connection of the screw hole pipe and a spiral ribbon rod and the synergistic effect of the limiting air pipe, a piston compensation air pipe and the like; the screw hole pipe is connected with the track rolling body, and the track rolling body moves in the nearly-surrounding movement track to drive an activating agent roll coating pen and a glue rolling wheel rod on the activating piece and the glue rolling piece to perform activating and glue rolling treatment at chip welding spots and bonding positions, so that the problem that a substrate is not synchronously activated when a chip is picked up and positioned is solved, and the chip picking and positioning efficiency is improved. The connection reliability of the chip and the substrate is improved, integration of multiple functions is realized, time and space are saved, and the stability, reliability and production efficiency of chip packaging are 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.

In an apparatus including a personal monitoring device which includes a microphone, speaker, camera, memory or database, global positioning device, controller, and transmitter, the improvement including a wearable device configured to include at least one of more components of the personal monitoring device on, with, or within, the wearable device, and a smoke detector, the fire detector, or the carbon monoxide (CO) detector. The microphone, speaker, or camera is located on an exterior of the wearable device. The smoke detector, fire detector, or carbon monoxide (CO) detector, is located on an exterior of the wearable device. The smoke detector, fire detector, or carbon monoxide (CO) detector, detects a presence of smoke, a fire, or a presence of carbon monoxide, and the speaker emits an alarm, a siren blare, or an audible and verbal message. The transmitter transmits a message to a computer or communication device.

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 embodiment of the invention provides a positioning method and equipment, and relates to the technical field of communication. The method comprises the following steps: receiving a first message sent by a first node; according to the first message, a reference signal is received or sent, and the reference signal is used for determining the position information of the to-be-positioned device. Therefore, the to-be-positioned device can be triggered to be positioned.

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 a TBM tunnel locomotive positioning and anti-collision early warning system, which belongs to the field of tunnel construction safety, and comprises positioning equipment and early warning equipment, the positioning equipment is composed of a UWB positioning base station, a UWB ranging base station, a UWB positioning label and a ranging module on a locomotive, and the UWB positioning base station, the UWB ranging base station and the UWB positioning label are arranged on a tunnel wall. The early warning equipment comprises a local-level early warning module, an intersection-level early warning module and a platform-level early warning module; the UWB positioning base station is used for acquiring one-dimensional position information of the locomotive in the axial direction of the tunnel, and the distance measuring module comprises distance measuring sensors and UWB distance measuring base stations which are arranged at the head part and the tail part of the locomotive and is used for measuring the relative distances between the locomotive and the wall surface of the tunnel and between the locomotive and other locomotives; the local-level early warning module triggers sound-light alarm according to the relative distance between the locomotives collected by the distance measuring module; the intersection-level early warning module displays the track occupation state through a lane indicating lamp and prompts that the locomotive runs safely. The method has the advantage of being high in accuracy.

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.