1867 results about "Positioning equipment" patented technology

A method, system, and apparatus for a head guide support system for use in measuring a transcranial magnetic stimulation (TMS) treatment coil on a patient's head are described herein. The coil positioning apparatus, also called a coil positioning device or a coil angle guide, may include a support structure supported by the patient's head; a first instrument configured to indicate a position angle for placement of the TMS coil; a second instrument configured to indicate a distance from the support structure for placement of the TMS coil; and / or a third instrument configured to indicate an orientation angle for rotation of the TMS coil.

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.

The invention discloses a construction site intelligent safety management system and method based on a BIM technology, and relates to the technical field of constructional engineering, and the method comprises the following steps: S100, building a three-dimensional digital model of a construction site by using BIM software, and collecting construction site data by deploying a video camera, personnel positioning equipment and an environment sensor; s200, preprocessing the acquired data, and performing potential safety hazard identification and environment detection on the construction site; s300, fusing and displaying the generated BIM three-dimensional digital model and the processed data through spatial alignment, data mapping and dynamic updating; s400, calculating the probability of occurrence of potential safety hazards on the construction site and a comprehensive decision score; and S500, carrying out quantitative assessment on the potential safety hazards of the construction site by constructing a risk assessment model, sorting the calculated risk scores of the potential safety hazards, and determining the priority processing sequence of the potential safety hazards of the construction site, so that intelligent safety management of the construction site is realized.

The invention provides an audio processing device and method, an augmented reality device, equipment and a storage medium, and belongs to the technical field of virtual reality display and sensing. The audio processing device comprises a positioning device which is configured to track and position a user in a real space in real time, determine positioning information of the user and send the positioning information to a processor; the processor is configured to determine target positioning information of the user based on pre-established spatial information and the real-time positioning information of the user; determining association relationship information between the user and a virtual sound source in a virtual space based on pre-established space information and real-time target positioning information of the user; obtaining human body parameters of the user, and determining an audio filtering result matched with the user based on the association relationship information, the human body parameters and the audio frequency of the virtual sound source; and reconstructing the audio to be played based on the audio configured for the virtual sound source in advance and the audio filtering result.

The invention discloses a power plant operation management method based on three dimensions, and belongs to the technical field of power plant operation management, and the management method comprises the following specific steps: Q1, building a power plant three-dimensional model and dividing functional regions according to the civil engineering structure and equipment layout of a power plant; q2, accessing video monitoring, personnel positioning, equipment data and operation information into the three-dimensional model, and performing information linkage; according to the method, the prediction accuracy is improved, the false report rate and the missing report rate are reduced, dynamic data can be analyzed in real time, a prediction result can be quickly generated, early warning can be given out, the deployment cost is reduced, the response efficiency of the system is improved, and the complexity of multi-model development and maintenance is reduced; resource waste or risk omission caused by local optimization can be effectively avoided, potential problems caused by improper resource scheduling are reduced, and the overall resource utilization rate and team cooperation efficiency are improved.

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 discloses welding positioning equipment for an elevator sliding guide shoe, and relates to the technical field of welding positioning. A plurality of positioning holes are symmetrically formed in the top of the base at equal intervals. A driving assembly is arranged on the left side of the base. An electric sliding rail is arranged at the top of one end of the back face of the base. A control assembly is arranged in the electric sliding rail. A transmission assembly is arranged above the control assembly. An anti-gap device is arranged on the top of the base. Fixed-point and fixed-position welding of workpieces is achieved, horizontal limiting is conducted on the two sides of the outer walls of the workpieces through L-shaped straight plates, it is guaranteed that the workpieces are horizontally arranged side by side and combined for welding work, meanwhile, limiting and stabilizing are conducted by means of the outer walls of telescopic positioning columns matched with bolt holes of the workpieces, and vibration generated during equipment operation is avoided; and a tiny gap is generated between the two workpieces to be welded, so that the welding firmness is reduced.

The embodiment of the invention relates to the technical field of digital key positioning, and discloses a dual-mode dual-anchor digital key positioning method and device, positioning equipment and a storage medium. The method comprises the following steps: acquiring positioning information of UWB and Bluetooth dual-mode and dual-anchor points at a preset position on a vehicle, and adopting multiple judgment conditions according to the positioning information of UWB master and slave anchor points to obtain a judgment result inside and outside the vehicle; executing a plurality of groups of judgment conditions corresponding to the UWB master anchor point, the UWB master anchor point and the slave anchor point according to a preset sequence, and if the inside and outside judgment result is outside the vehicle, respectively obtaining respective corresponding outside area judgment results according to the positioning information of the UWB master anchor point and the UWB slave anchor point; and obtaining an out-of-vehicle area judgment result according to the out-of-vehicle area judgment result of the UWB master anchor point and the UWB slave anchor point, the NLOS conditions of the UWB master anchor point and the UWB slave anchor point and the Bluetooth judgment result. Through combination of positioning information collected by dual-mode and dual-anchor points and multi-dimensional judgment conditions, good positioning performance can be achieved, and cost is reduced at the same time.

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.

The invention provides an indoor positioning method and system based on vision, geomagnetism and inertial navigation, and the method comprises the steps: obtaining inertial navigation data, and determining a local region where a target object is located in an indoor space according to the inertial navigation data; wherein the inertial navigation data is obtained by a positioning device carried by a target object; obtaining a visual image of the local area, and determining the position of the target object in a pre-constructed spatial model according to the visual image to obtain a first position; determining a target range according to the first position, and simulating an environment magnetic field around the target object under the condition that the magnetic disturbance object exists in the target range; real-time magnetic field data is obtained, the real-time magnetic field data is obtained through measurement of magnetic field measurement equipment carried by the target object, the real-time magnetic field data is matched with the environment magnetic field, the specific position of the target object in the local area is determined, and a second position is obtained. According to the invention, multiple positioning technologies are fused, and the indoor positioning accuracy can be further improved.

The invention provides a heterogeneous multi-sensor information fusion method and system for accurate positioning of coal mine underground mining equipment, and the method comprises the steps: S1, collecting inertial navigation information, and extracting the pose information of a heading machine; s2, inputting the pose information of the heading machine into a millimeter wave radar; s3, distance measurement information of the laser radar and the millimeter wave radar is collected; s4, extracting target position information from the target library; s5, constructing first branch information and second branch information; s6, performing information fusion on the collected inertial navigation information, the first branch information and the second branch information by adopting a fusion technology based on a factor graph to form fusion information; s7, returning and transmitting the fusion information to the inertial navigator; and S8, the inertial navigator carries out navigation information correction according to the fusion information. According to the invention, a multi-sensor fusion scheme which takes inertial navigation as a basis and takes a laser radar and a millimeter-wave radar as main auxiliary equipment is adopted, so that positioning equipment which can completely adapt to performance requirements of underground operation of a coal mine is provided.

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.

A visual vehicle-positioning fusion system and a method thereof is provided. In the method, an image point cloud map stored in a storage device is converted into a longitude and latitude database corresponding to the image point cloud map. Longitude and latitude measurement coordinates received by a positioning device are used as first location information. The longitude and latitude database is compared with the longitude and latitude measurement coordinates to generate the initial location of a vehicle. Feature matching is performed on the initial location and the image point cloud map to generate second location information of the vehicle on the image point cloud map. The first location information or the second location information is selected as a final positioning output information and outputted based on a positioning fusion rule.

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 utility model discloses a flexible charging system used for automatic charging of an unmanned vehicle, which comprises a charging interface device, a flexible charging plug used for supplying power and arranged in a self-adaptive floating manner, and a driving device used for driving the flexible charging plug to move towards the charging interface device, and is characterized in that the charging interface device is arranged on the unmanned vehicle; a guiding assembly used for guiding the flexible charging plug is arranged between the charging interface device and the flexible charging plug. According to the flexible charging system used for automatic charging of the unmanned vehicle, the flexible charging plug is arranged in a self-adaptive floating mode, the guiding assembly is arranged in a matched mode, and when the driving device drives the flexible charging plug to move towards the charging interface device, the flexible charging plug and the guiding assembly can be used for correcting positioning deviation; and the requirement on the positioning precision of the flexible charging plug is lower. Compared with a traditional six-axis mechanical arm and vision positioning mode, the equipment cost is obviously reduced, and the charging butt joint precision can be guaranteed.

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.

To provide a positioning device capable of improving positioning accuracy, a positioning method, a program, and a storage device.SOLUTION: A positioning device 20 includes a first position estimation unit 31, a second position estimation unit 33, and an information integration unit 36. The first position estimation unit 31 and the second position estimation unit 33 output first information and second information by positioning in different coordinate systems (a world geodetic system and a map coordinate system), respectively. The information integration unit 36 performs predetermined optimization processing relative to a combination of the first information and the second information recognized as the same time. The information integration unit 36 acquires difference (inter-coordinate difference) regarding information such as a position and a posture of a moving object between mutually different coordinate systems of the first information and the second information by predetermined optimization processing.SELECTED DRAWING: Figure 1

The invention discloses a navigation method based on rtk laser vision fusion, and belongs to the field of map navigation, and the method comprises the following steps: S1, data acquisition, RTK data acquisition, and installation of RTK positioning equipment including a base station and a mobile station; the base station is arranged at a fixed point of a known accurate position and continuously transmits a signal containing position information; the mobile station is installed on a navigation carrier, receives base station signals and satellite signals and determines high-precision position coordinates and time information of the carrier, and the advantages of all the sensors can be brought into full play by fusing data of the RTK, the laser radar and the visual sensor, and the limitation of a single sensor is made up. High-precision absolute position information is provided through RTK, the laser radar accurately senses the three-dimensional shape and distance of an object, and the visual sensor identifies specific marks and textures. The fusion of the three can improve the estimation precision of the navigation system on the position, speed and direction, and reduce the positioning error.

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.

An apparatus, including a database which stores a travel itinerary or schedule of an individual; a global positioning device located in or at a personal monitoring device; an RFID reader located at an entrance or exit of a venue or a vehicle; a receiver located in or at the personal monitoring device; a processor which controls an operation of the personal monitoring device; and a transmitter located in or at the personal monitoring device. The RFID reader detects or reads an RFID tag and transmits a signal to the receiver. The processor detects a deviation from the travel itinerary or schedule and generates a message. The transmitter transmits the message to a user communication device and a central processing computer. Information regarding the message, or the message, is stored in a distributed ledger and Blockchain technology system.

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 discloses a BIM-based power plant personnel position dynamic monitoring and early warning method and system, and relates to the related field of power plant safety alarm, and the method comprises the steps: constructing the approaching monitoring demands of unauthorized personnel and the entering safety monitoring demands of authorized personnel corresponding to a plurality of risk regions for a target power plant, and carrying out the BIM modeling marking, constructing a power plant BIM model; zero-trust personnel monitoring is carried out through personnel positioning equipment, and first temporary risk personnel corresponding to the first risk area are determined in combination with approaching monitoring requirements; verifying whether authorization exists or not; if the verification is passed, carrying out risk protection behavior detection; if the verification is not passed, reading the to-be-executed task, and connecting a historical personnel behavior monitoring log library to carry out abnormal detection on a personnel track; and performing abnormity early warning according to the first risk protection abnormal value or the second risk protection abnormal value. The technical problem that existing position monitoring is insufficient in monitoring and early warning capacity is solved, and the technical effect of improving the monitoring and early warning capacity is achieved.

The invention provides a combined multipoint fusion space positioning method and system based on UWB and RTK, and relates to the technical field of space positioning, and the method comprises the steps: obtaining the first position information of a moving target based on a UWB positioning module; acquiring second position information of the moving target based on an RTK positioning module; performing position data fusion on the first position information and the second position information to obtain an initial position fusion result; positioning the position of the moving target area according to the initial position fusion result, and extracting building information of the initial position fusion result; matching a positioning mode of the positioning equipment based on the building information to obtain a positioning mode matching result; and controlling the positioning equipment to carry out real-time spatial position extraction according to a positioning mode matching result. The technical problem that indoor and outdoor continuous high-precision positioning is difficult to realize through a single precise positioning technology is solved, and high-precision positioning of seamless switching from indoor to outdoor is realized through data fusion of multiple sensors.