1451 results about "Location data" patented technology

The invention discloses an unmanned aerial vehicle intelligent obstacle avoidance decision-making method and system for a complex environment, and belongs to the technical field of unmanned aerial vehicle obstacle avoidance. The method comprises the steps of S1, environment perception and data acquisition, S2, multi-source data hierarchical fusion processing, S3, complex environment obstacle recognition and risk assessment, S4, dynamic obstacle avoidance path decision and optimization, and S5, obstacle avoidance execution and real-time adjustment. Omnibearing acquisition of obstacle distance, environment images, unmanned aerial vehicle attitude and position data is realized; the method combines an improved YOLOv8 model (adding a CBAM attention mechanism), strengthens the obstacle feature extraction capability under complex weathers such as rain and fog, strong light and dust, can accurately distinguish static obstacles such as buildings and trees from dynamic obstacles such as pedestrians, vehicles and other aircrafts, and solves the problems that a single sensor perceives blind areas and is insufficient in precision in a complex environment.

Described is a system for generation location visualization on a map interface by identifying a current location of a user that is initiating an interaction function of an interaction client; identifying a map corresponding to the current location of the user; identifying one or more map tiles associated with the map; receiving historical location data of the user that is associated with the current location of the user; converting the historical location data into an overall polygon that is comprised of a plurality of polygons based on the identified one or more map tiles; and displaying the map with the plurality of polygons on a user interface.

A ship sub-assembly weld seam identification method, comprising: creating a point cloud weld seam identification training dataset by means of point cloud discretization, virtual sampling, weld-zone semi-automatic interactive annotation, and style transfer-based augmentation of ship sub-assembly CAD data; training a point cloud weld seam identification model, and exporting a weld seam identification model data file; using a 3D point cloud camera array as a sampling camera to collect workpiece 3D point cloud data of a sub-assembly workpiece to be welded at the production site; by means of the weld seam identification model data file, obtaining weld seam annotation position data and positioning a weld seam; and issuing a welding process plan and instruction to control a welding robotic arm and a control device therefor to complete sub-assembly workpiece welding. Also provided are a ship sub-assembly weld seam identification system, a computer device, and a computer-readable storage medium. The method overcomes the shortcomings in conventional 3D weld seam identification methods such as point cloud incompleteness and identification failures caused by steel types and the imaging angles of 3D cameras, thereby greatly improving the adaptability of automatic weld seam identification methods to complex workpieces.

A method is provided for delivering location-based information using artificial intelligence. The method includes automatically inferring a location of a user system at a geographic landmark based on location data, and triggering an AI assistant in response to the inferred location. The AI assistant generates information about the geographic landmark, and a graphical indication of the AI-generated information is displayed proximate to a graphical representation of the user on a map interface. Upon user selection of the graphical indication, a chat conversation with the AI assistant is initiated, the conversation including the AI-generated information about the geographic landmark

A method comprises registering, by an application executing at a computer system in an inventory system, a tag identifier received from a tag in an inventory environment with location data indicating a location of the tag based on an audio attribute of an audio signal received from the tag, initiating, by the application, a scan of the tag to obtain tag data from the tag and to receive the audio signals from the tag by transmitting a signal to the tag after registering the tag identifier with the location data of the tag, and triggering, by the application, activation of an audio emitting device of the tag to emit an alert signal indicating whether a reader device is in a read range of the tag.

The invention provides an intelligent storage location optimization method and system, and belongs to the technical field of storage management, and the method comprises the steps: obtaining the data information of commodities in a storage system, constructing a storage location optimization model, comprising a comprehensive objective function taking maximization of space utilization rate and sorting efficiency and minimization of storage cost as objectives and constraint conditions based on physical rules and business rules; solving the storage location optimization model by using an optimization algorithm, and generating a storage location distribution scheme and prediction performance data; executing the storage location allocation scheme, and collecting actual storage location data and actual operation performance data; comparing the actual storage location data with the storage location allocation scheme to obtain a scheme execution coincidence rate; comparing the actual operation performance data with the predicted performance data to obtain a performance deviation rate; and based on the scheme execution coincidence rate and the performance deviation rate, adjusting the constraint condition of the storage location optimization model and / or the weight coefficient of the comprehensive objective function to obtain an updated storage location optimization model, and carrying out storage location allocation.

The invention relates to the technical field of ship information monitoring, and discloses a ship information acquisition and monitoring system based on AIS signals. The system comprises a ship dynamic information acquisition module which receives AIS base station ship real-time position data, extracts latitude and longitude coordinates, a navigational speed and a course angle, and generates a ship dynamic trajectory sequence in combination with a timestamp; a sailing state feature extraction module identifies acceleration, deceleration and steering behaviors of the ship according to a speed change rate and a course angle change rate in the track sequence, and marks state switching points to generate a sailing state feature set; the regional sailing density calculation module divides sea area grids, counts the number of ships in each grid and staying duration, and generates a regional ship density distribution diagram; the abnormal behavior detection module compares the navigation behavior with a preset normal mode, and screens abnormal behavior points to form a set; and the risk area labeling module integrates the high-density area and the abnormal behavior points, calculates the aggregation degree, generates a ship navigation risk thermodynamic diagram, and realizes ship navigation monitoring and risk early warning.

The invention relates to the technical field of intelligent positioning of building construction, in particular to an intelligent positioning method and system for fabricated building laminated slabs based on AR and UWB. According to the method, a physical monitoring network comprising a UWB positioning base station and a visual positioning target is constructed, a digital operation instruction generated by analysis of a cloud BIM model is converted into a virtual contour superposed on a real operation plane by using an AR augmented reality technology, and further, the position deviation is calculated in real time and a sound-light alarm mechanism is combined, so that the real-time positioning of the cloud BIM model is realized. A construction quality closed-loop control system of real-time monitoring, alarming, adjusting and compliance is established, it is ensured that the laminated slab meets the design precision requirement in the installation process, and later reworking and rectification caused by installation errors are effectively avoided; meanwhile, based on data interaction of the cloud BIM management platform, full-process digital management from design model issuing to final installation position data returning is achieved, and reliable data support is provided for construction quality tracing and acceptance of the fabricated building.

Methods and systems for managing operation of a data processing system are disclosed. To manage operation of the data processing system, a management controller of the data processing system may obtain location data for the data processing system and trusted device(s) using an out-of-band communication channel and determine a distance between the data processing system and trusted device(s). Based on the determined distance, the management controller may identify a security policy that may regulate operation of the data processing system by performing an action set to update operations of the data processing system.

The invention discloses an OLED flexible screen deformation adaptive data processing method and system, and relates to the technical field of data processing, and the method comprises the steps: obtaining the original position data and to-be-output brightness data of a pixel point, obtaining a strain sensing point, and obtaining the real-time strain data of the strain sensing point; obtaining an effective bending point location, and obtaining a self-adaptive processing distance; obtaining associated pixel points, obtaining a brightness difference value, and obtaining an adjustment proportion of the pixel points; and obtaining a target processing distance of the pixel point according to the adjustment proportion of the pixel point and the adaptive processing distance of the pixel point, obtaining a brightness enhancement proportion of the pixel point according to the target processing distance of the pixel point and a preset distance threshold, and obtaining a brightness output strategy of the pixel point according to the brightness enhancement proportion of the pixel point and the to-be-output brightness data. The method has the advantages of non-uniform compensation, self-adaptive adjustment and dynamic balance.

A system is disclosed, including a display, a processor and a memory. The memory stores instructions that, when executed by the processor, configure the system to perform operations. Active region data is generated that includes, for each of one or more active regions, active region location data and active region content. The active region data is transmitted to a display having a display area. For each active region, the active region content is displayed at an active region location of the display area based on the active region location data, the active region content being displayed at a higher spatiotemporal information density than content displayed in the display area outside of the active regions.

The invention relates to the technical field of smart city information management, in particular to a smart city information management method and system based on GIS and AI fusion, and the method comprises the steps: carrying out the data mining and statistical analysis of the basic information of each economic entity in a city, and achieving the overview of economic development situations; collecting geographic position data of an economic body and matching coordinates, and constructing a three-dimensional digital city model associated with a GIS system; a hierarchical comprehensive evaluation algorithm is adopted to calculate the economic innovation value, the contribution degree of the economic innovation value is analyzed, and a long-short memory network is utilized to carry out space-time dynamic evolution analysis and trend prediction; and intelligent semantic understanding and personalized question and answer feedback are realized by analyzing a multi-modal query request of a user. The problems that an existing system is difficult in data fusion, static state analysis lags behind, and decision support is insufficient are solved, unified perception, intelligent analysis and scientific decision support of the urban operation state are achieved, and the urban fine management and service level is remarkably improved.

In one aspect, a computerized method for electing an asset tracker to communicate the location of each asset tracker in a cluster of asset trackers comprising: detecting an n-number of asset trackers within a low power radio range and form a cluster of these asset trackers; polling the n-number of asset trackers for one or more attributes of each asset tracker; based on an optimization of the one or more attributes of each asset tracker, electing an asset tracker to collect all the asset tracking and location data from the other asset trackers in the n-number of asset trackers; and communicating the collecting of all the asset tracking and location data to a remote server system.

The invention relates to an intelligent ship water diversion method and system based on RTK and inertial navigation fusion, and the method comprises the steps: firstly, deploying and calibrating an RTK base station at a wharf commanding height, generating a differential correction in real time, and broadcasting the differential correction to a shipborne end; utilizing RTK surveying and mapping equipment to collect shoreline feature points, adopting a cubic spline interpolation algorithm to construct a continuous and smooth three-dimensional shoreline curve model, and fusing wharf geographic information to generate a shoreline visual map with geographic coordinates; establishing a ship coordinate system, converting inertial navigation attitude data into the coordinate system through a rotation matrix and a translation vector, fusing the inertial navigation attitude data with RTK position data, and outputting a high-precision ship pose; fusion data are transmitted through a 5G network, a shore end converts the fusion data into a local plane coordinate system and generates a real-time dynamic visual interface, the real-time dynamic visual interface is pushed to a tug terminal through an RTSP protocol, water diversion operation is assisted, high-precision perception, visual guidance and shore ship cooperation of the ship berthing process are achieved, and the water diversion safety and the intelligent level are improved.

This specification relates to systems, methods and apparatus for automating and guiding the delivery of concrete from a concrete mixer. According to a first aspect of this specification, there is described a system for positioning a delivery chute (104, 210) of a concrete mixer vehicle (100, 200), the system comprising: one or more vehicle positioning sensors (116) for determining location data specifying a location of the concrete mixer vehicle (100, 200); the delivery chute (104, 210) for delivering the concrete mix from a concrete mixing drum (102) to a target location (204), the delivery chute (104, 210) comprising: one or more chute positioning sensors (112) for monitoring a position of the delivery chute (104, 210); and one or more actuators (110) for positioning the delivery chute (104, 210); one or more processors; and a memory, the memory storing computer readable instructions that, when executed by the one or more processors, cause the system to perform a method positioning a delivery chute (104, 210) of a concrete mixer vehicle (100, 200). The method comprises: determining, based on the location data, whether the concrete mixer vehicle (200) is at a target vehicle location (206); initiating, based at least in part on determining that the concrete mixer vehicle (200) is at the target vehicle location (206), deployment of the delivery chute (210) from the concrete mixing vehicle (200); positioning, based at least in part on data from the one or more chute positioning sensors (112), the delivery chute (210) to a target delivery location (204) using the one or more actuators (110); and indicating, to a user of the concrete mixer vehicle, that the chute is in a correct position for concrete delivery.

The invention provides a low-altitude equipment state information processing method and system, and belongs to the technical field of low-altitude equipment state information processing, and the method comprises the steps: receiving the real-time state data of each low-altitude equipment state through a multi-protocol data access network; based on position data in the real-time state data, dividing a geographic space into grid units with set levels by using an airspace grid engine, and encoding the grid units to generate an airspace grid model; based on the airspace grid model, airspace occupation calculation and conflict detection are carried out, and early warning information is generated; and pushing the collision risk early warning information to a monitoring terminal for three-dimensional visual display through the message middleware, and / or sending the collision risk early warning information to a low-altitude equipment control system to generate a flight control instruction. According to the invention, real-time data is acquired through multiple protocols, the dynamic airspace grid model is constructed, conflicts are accurately detected, early warning is generated, the data are pushed to the monitoring terminal for visual display, and the flight safety and the operation efficiency are improved.

A method for determining a reference station setup point for setting up a reference station includes moving a construction machine to a waypoint. At this waypoint, position data describing the position of a construction machine reference point on the construction machine are determined on the basis of the satellite signals of a global navigation satellite system and the correction signals of a reference station already set up on site in the vicinity of the earthmoving machine. The position data describing the position of the reference station setup point are determined based on the position data describing the position of the construction machine reference point on the construction machine at this waypoint and on the basis of a specified spatial relationship between the construction machine reference point and the point specified as the reference station setup point on the ground surface.

A golf course system includes one or more processing circuits including one or more memory devices and one or more processors. The one or more memory devices are configured to store instructions thereon that, when executed by the one or more processors, cause the one or more processors to receive a request from an operator of a golf vehicle to generate a geofence at a current location of the golf vehicle on a golf course, acquire position data regarding a position of the golf vehicle, and generate the geofence at the current location in response to the request and based on the position data. The request includes at least one of (a) a first request to generate a predefined shape geofence or (b) a second request to generate a freeform geofence.

A decoder apparatus for decoding syndrome data of a quantum error correction code is disclosed. The decoder apparatus is configured to receive position data representing the respective location of defects from the syndrome data in a decoding graph. The decoder apparatus also receives dimension data of the decoding graph and determines the respective location of each of the plurality of defects in the decoding graph based on the position data and the dimension data. The decoder apparatus then decodes the syndrome data using the determined respective location of each of the plurality of defects.

Real-Time Locating System (RTLS) enabled human to automated vehicle interaction apparatus and methods. Systems may include a control system configured to communicate with RTLS transceivers and anchors within an environment, and autonomous vehicles (AVs) equipped with sensors and RTLS communication transceivers. A control system determines a real-time location of RTLS transceivers (“Tags”) and provides navigation, task, and behavioral instructions to AVs based on location data. RTLS transceivers can be worn by humans or attached to objects, machines, equipment, floorspace, storage bins, or other destination, thereby enabling AVs to locate and travel to humans, objects, or other destination points, perform tasks based on location data, and dynamically alter actions and behaviors. Locating and traveling to destination points may include dynamic destination points based upon movement of a destination human or item. User interactions via RTLS tags may trigger specific actions, enhancing human-automated vehicle collaboration and operational efficiency in diverse environments.

The invention discloses a hydrological data prediction method, device and equipment and a storage medium, and relates to the technical field of hydrological prediction. Historical hydrological data and position data of each observation station are input; performing forward diffusion on the historical hydrological data to obtain diffusion data; performing reverse diffusion on the diffusion data to obtain target hydrological data; wherein in each reverse diffusion step, the following steps are executed: predicting the noise of the current diffusion data by adopting a conditional denoising network; calculating intermediate de-noised data based on the current diffusion data and the noise; mapping the middle de-noised data by adopting a physical constraint projection operator to obtain a current back diffusion result; wherein the physical constraint projection operator is constructed based on a physical rule followed by the hydrological data. According to the method, the physical interpretability and the engineering credibility of the generated hydrological data can be improved.

The invention relates to the technical field of image semantic segmentation, in particular to an intelligent landslide identification method based on multi-source remote sensing image fusion. Comprising the following steps: calculating a gradient matrix and a water flow convergence index based on a digital elevation model, searching and determining a physical prior interval of cohesive force and an internal friction angle based on geological lithology data, and constructing an input tensor; extracting a surface semantic feature map of the optical image by using visual perception branches through a double-branch coupling network; based on a physical prior interval, mapping branches by using physical parameters, and carrying out nonlinear mapping to obtain a limited rock-soil mechanical parameter diagram; and calling a micro infinite slope stability layer, executing forward derivable calculation based on a limit equilibrium equation, generating a slope stability coefficient field, constructing physical attention gating, executing Hadamard product operation, and generating a semantic feature tensor. Through deep coupling integration and collaborative optimization of the visual perception branch and the physical parameter mapping branch, the true effectiveness of the obtained position data is ensured.

A system receives vehicle metric data from a gateway device connected to a vehicle. The vehicle gateway device gathers data related to operation of the vehicle and / or location data. The system receives data from multiple vehicles in a fleet. The vehicle gateway device gathers vehicle metric data at a high frequency. Instead of transmitting a large amount of vehicle metric data at a fine level of granularity, the vehicle gateway device aggregates and buckets the vehicle metric data over a period of time (such as, every five minutes). The system uses the bucketed data for fleet management analysis.

The invention provides a water body pollution spatial-temporal distribution dynamic monitoring system based on multi-source remote sensing data fusion and deep learning, and relates to the technical field of data processing, and the system comprises the steps: obtaining a satellite hyperspectral image, unmanned aerial vehicle multispectral data, and water quality parameter data collected in real time through ground Internet of Things equipment; the inversion module is used for performing pollutant concentration inversion on the satellite hyperspectral image to obtain pollutant concentration data; performing local pollution source positioning on the unmanned aerial vehicle multispectral data to obtain pollution source position data; acquiring real-time water quality parameter data from ground Internet of Things equipment; the spatial discretization module is used for carrying out spatial discretization processing on pollutant concentration data, pollution source position data and real-time water quality parameter data, establishing a quadtree index and carrying out recursion division on the quadtree index into sub-regions; and generating a dynamic space correction parameter according to the statistical characteristics of the data points in each sub-region. The method can effectively improve the water body pollution time-space distribution monitoring precision and the pollution early warning reliability.

A vehicle includes multiple storage zones. A set of imaging sensors defines fields of view and each storage zone is included in at least one defined field of view. A controller is in communication with the set of imaging sensors and includes a set of processing modules configured to cooperatively implement a smart storage tracking system including a person recognition processing module and an object recognition processing module. The person recognition processing module includes a process for identifying unique persons using image analysis and the object recognition module includes a process for identifying unique objects using image analysis. The smart storage tracking system defines an object to person and location data entry in a database using the person recognition processing module and the object recognition processing module. The database is in communication with the controller and storing each defined object to person and location data entry.

The invention relates to a rural power grid power distribution intelligent monitoring and fault positioning system based on edge calculation. The system comprises a data acquisition and preprocessing module used for acquiring time sequence data of each edge node of the power distribution network based on a unified protocol and performing standardization processing on the time sequence data to obtain standard time sequence data; the fault feature analysis module is used for analyzing abnormal features of the voltage and the current based on a preset fault detection model according to the standard time sequence data to obtain fault feature data; the preliminary fault positioning module is used for calculating probability distribution of a fault position based on a preset fault positioning model according to the fault feature data and the topology identifier to obtain preliminary fault positioning data; and the fault positioning correction module is used for correcting a fault positioning result according to the initial fault positioning data and the operation environment parameters to obtain a fault positioning result. By adopting the system, the detection capability and positioning precision of early weak fault features can be improved, and the system adapts to rural power grid complex environments and resource limited conditions.

The invention discloses a universal serial communication framing and de-framing method for external parameter configuration of an inertial sensor, which comprises the following steps of: dynamically defining a data frame structure by loading an external editable parameter file, including frame header byte content and position, various standard and non-standard data type codes of a data segment, a verification mode of a verification segment and frame tail parameters; in the framing process, the sensor data is converted into byte arrays according to a selected protocol, and complete data frames are assembled and output; and verifying the completeness of the frame header and the frame tail based on the same parameter file in the frame decoding process, executing verification calculation and analyzing the content of the data segment. According to the method, universal adaptation of different serial port communication protocols is realized, the problem of poor reusability of a traditional hard coding mode is solved, the communication processing efficiency and flexibility of the inertial sensing equipment are remarkably improved, and the method is particularly suitable for multi-protocol scenes such as fiber-optic gyroscopes and inertial measurement units.

The invention provides a transformer substation noise traceability and diffusion simulation method fusing multi-source remote sensing data. Belongs to the technical field of power environment protection and remote sensing science. The method comprises the following steps: acquiring thermal infrared remote sensing image data of a transformer substation, after preprocessing, finding out a temperature anomaly region of main noise source equipment by using a temperature anomaly recognition algorithm, determining the position of the main noise source equipment in combination with equipment layout information, and generating position data of the noise source equipment; a laser radar is used for scanning a transformer substation and surrounding areas to obtain high-precision point cloud data, the high-precision point cloud data are processed to generate high-precision digital elevation model data, and a transformer substation three-dimensional scene model containing detailed topographic features and noise source positions is constructed in combination with noise source equipment position data. Temperature abnormity of main noise source equipment is identified by means of thermal infrared images, noise sources of specific equipment such as a main transformer and an electric reactor can be accurately positioned, equipment-level traceability is realized, the situation that traceability is difficult in a traditional method is changed, and a clear direction is provided for targeted noise treatment.

Embodiments described herein provide for an electronic device comprising a wireless processor coupled with a wireless radio, memory to store instructions, and one or more processors to execute the instructions. The one or more processors, based on the instructions, are to scan for a beacon advertisement using the wireless processor, store the beacon and a timestamp in a beacon advertisement buffer in response to detection of the beacon via the wireless processor, correlate a beacon advertisement with stored location data to determine a location estimate for a device associated with the beacon advertisement, encrypt the location estimate for the beacon advertisement using a beacon identifier broadcast with the beacon identifier, and transmit a hash of the beacon identifier and an encrypted location estimate for the beacon advertisement to a device locator server. Embodiments also provide techniques to enable known device matching and horizontal accuracy adjustment during location data harvesting for wireless accessory devices.

The provided index server indexes two-dimensional (2D) location data included in the transaction data as a K-d-B tree, constructs partial Merkle trees for a group of leaf nodes in the K-d-B tree, and stores hierarchical hash information based on the partial Merkle trees in each of nodes of the K-d-B tree. When a query related to the location data is acquired via the interface module, the index server searches the K-d-B tree to find a query result corresponding to the acquired query, and generates verification data for verifying the searched query result on the basis of the partial Merkle trees and the hierarchical hash information. The index server then provides the query result and the verification data to the user terminal to verify the integrity of the query result using the partial Merkle trees and the hierarchical hash information by the user terminal.