62 results about "Coverage map" patented technology

A data communication network includes a data communication node, an imaging device, and an information handling system. The data communication node establishes a data connection with a user equipment device. The imaging device provides image information for a coverage area associated with the data communication node. The information handling system is coupled to the data communication node and to the imaging device. The information handling system receives the image information, synthesizes a 3D map of the coverage area based upon the image information, receives first coverage information from the first data communication node, correlates the first coverage information with the 3D map to generate a coverage map of the coverage area, to generate a first connectivity pattern associating a quality of connectivity provided by the first data communication node within the coverage area, and determines a first location of the first user equipment device within the connectivity pattern based on the image information.

The invention provides a kidney ultrasonic scanning robot trajectory planning method and device based on multi-modal sensing. The method comprises the steps that multi-modal sensing data in the kidney ultrasonic scanning process are obtained in real time; aiming at each mode in the multi-mode sensing data, calculating the confidence coefficient of the mode; carrying out softmax processing on the confidence coefficient of each modal to obtain a fusion weight, and mapping the fusion weight into a planning weight; constructing an objective function based on the planning weight, and setting constraint conditions including medical scanning protocol constraints and anatomy safety boundary constraints; initializing a solving process by adopting a hot start mode, solving the objective function, and optimizing the control sequence; and according to the control sequence, controlling the robot to execute a scanning action, and generating and updating a coverage map until complete scanning of the kidney is completed. According to the method, the accuracy of kidney ultrasonic scanning trajectory planning is improved.

The invention discloses a wire tape production equipment remote monitoring and fault early warning system based on the Internet of Things, and relates to the technical field of equipment fault early warning, and the system comprises the steps: obtaining the operation state data of an industrial equipment part, the operation state data comprises vibration amplitude data and temperature change data, processing the running state data by adopting a time sequence analysis method so as to identify a performance degradation starting point and generate a performance degradation starting point identifier; acquiring sensor position information and determining a signal monitoring area through the performance degradation starting point identifier, and generating a coverage map identifier; according to the boundary of the signal monitoring area, extracting temperature change data and vibration amplitude data from the operation state data, and constructing a performance evolution law model by adopting clustering analysis and interpolation fitting; according to the invention, by constructing a spatial coverage modeling and performance evolution analysis mechanism based on multi-source state data, performance degradation identification, coverage area perception and fault risk early warning in the remote monitoring process of industrial equipment are realized.

Disclosed is a method (500) for identifying dominance area in a wireless communication network (100). The method includes partitioning a coverage map of a coverage region associated with a plurality of cells (102) into a plurality of grids. The method further includes determining a number of User Equipment (UEs) served by each cell in each grid based on mapping of trace data associated with a plurality of UEs (104) on the plurality of grids. Further, the method includes calculating a dominance percentage of each cell in each grid of the plurality of grids based on the number of the UEs served by each cell of the plurality of cells in each grid of the plurality of grids. Furthermore, the method includes identifying the dominance area in the coverage region based on the dominance percentage of each cell of the plurality of cells in each grid of the plurality of grids.

A method and system for optimizing indoor wireless coverage are proposed. A user device and computer program are also proposed. The method comprises connecting, by a mobile device, to a wireless router via a first wireless network, the wireless router being located at a customer premises; computing a coverage metric for a plurality of subpoints within at least a first point and a second point of the customer premises, obtaining a plurality of coverage metrics as a result, each coverage metric comprising a position of the mobile device and a quality indicator of the wireless connection of the mobile device in that position; generating a wireless coverage map using the plurality of coverage metrics; determining whether a wireless signal repeater has to be installed based on the generated wireless coverage map; and showing a new wireless coverage map considering the installation of the wireless signal repeater.

The invention provides a converged communication gateway suitable for polar navigation. The converged communication gateway comprises a core control module, a 5G communication module, a multi-interface adaptation module, a network detection module, a data forwarding module, a position positioning module, a polar region signal enhancement module and a power supply module. The core control module pre-stores a maritime satellite coverage map, and automatically selects an active link according to the priority hierarchy of 5G priority, VSAT second priority and iridium bottom according to the real-time position and network state; and the differentiated cache duration is selected according to the switching type during switching, so that the data integrity is guaranteed. According to the invention, communication seamless switching in near-shore, medium-low-latitude ocean and high-latitude areas is realized, and communication continuity, adaptability and cost economy are guaranteed.

The application discloses an image defogging method and device, equipment and storage medium, and relates to the technical field of artificial intelligence, and comprises the following steps: in the process of defogging the target fog image collected in the current foggy environment by using a target image defogging model based on a neural network, a target fog light coverage map corresponding to the target fog image is generated, and a target fusion feature is generated based on the target fog light coverage map; a target feature manifold representation corresponding to the target fusion feature is generated based on Lie group operation and manifold learning method; the target feature manifold representation is mapped to a plurality of low-dimensional sub-manifolds, so as to generate a target candidate projection set based on each low-dimensional sub-manifold, and a target projection is selected from the target candidate projection set by using a preset loss function; a target defogging image feature corresponding to the target projection is generated, and the target defogging image feature is decoded to obtain a corresponding target defogging image. The application can improve the accuracy of image defogging in complex and changeable scenes.

Methods, systems, computer-readable media, and apparatuses for providing service to access nodes are presented. In some embodiments, a computing device may generate a geographical coverage map comprising a plurality of wireless access nodes respectively at a plurality of geographic locations and a wireless coverage range for each wireless access node. The computing device may receive from at least one wireless access node of the plurality of wireless access nodes an indication that the at least one wireless access node detected a first wireless access node of the plurality of wireless access nodes. The computing device may refine a first coverage range of the first wireless access node based on a respective geographic location of the at least one wireless access node. In some embodiments, a first wireless access node may receive and forward join emergency mesh (JEM) messages to establish a wireless network.

A data communication network (100, 200, 400) includes a data communication node (120), an imaging device (130), and an information handling system (110, 300, 440). A data communication node (120) establishes a data connection with a user equipment device (160). The imaging device (130) provides image information for a coverage area associated with the data communication node (120). An information handling system (110, 300, 440) is coupled to the data communication node (120) and the imaging device. The information handling system (110, 300, 440) receives the image information, synthesizes a 3D map of the coverage area based on the image information, receives first coverage information from the first data communication node (120), associates the first coverage information with the 3D map to generate a coverage map of the coverage area, and transmits the coverage map to the first data communication node (120). A first connection mode associated with a connection quality provided by the first data communication node (120) within the coverage area is generated, and a first location of the user equipment device (160) within the connection mode is determined based on the image information.

The invention relates to the field of farmland change detection, in particular to a farmland change detection method based on cross-modal remote sensing data, and the method comprises the steps: constructing a cross-modal data pair based on a pre-event semantic map and a post-event remote sensing image before and after a farmland change event, according to the cross-modal data, multi-scale feature extraction, cross-modal feature fusion and feature enhancement are performed, and multi-scale cross-modal enhanced features are generated for farmland change detection, so that the dependence on remote sensing images before a change event can be effectively overcome, and the accuracy of farmland change detection is improved. Utilization of non-image data such as cultivated land vector data, land coverage maps and land utilization maps is enhanced, and the detection precision and efficiency of cultivated land change events are improved.

This invention discloses an indoor wireless signal coverage prediction method based on Monte Carlo integration. A transmitting antenna and receiver are deployed within an indoor scene. The geometric model of the indoor scene and the attribute parameters of the transmitting antenna are acquired and input into a computer to build a simulation model. Rays are generated to describe electromagnetic wave propagation for simulation. Through multiple iterative processing, an indoor wireless signal coverage map is predicted. This process is repeated, applying random rotations for multiple simulations, and the final indoor wireless signal coverage prediction result is obtained by combining the results. This invention avoids performing path search and field strength calculation for each receiver point individually, significantly improving computational efficiency. It also avoids the exponential growth problem of ray number caused by ray splitting in traditional ray tracing, thus significantly reducing memory usage and improving computational efficiency. This enhances the stability and accuracy of signal coverage prediction, enabling rapid acquisition of signal coverage information in complex indoor scenes while maintaining prediction accuracy.

This disclosure relates to a method (30) for determining, by a server, map data to be transmitted to a vehicle via a wireless communication network to which the vehicle is connected, comprising: a determination (S30) of a first set of map data associated with a geographic region, a obtaining (S31) of a single-operator network coverage map associated with a wireless communication network operator, a determination (S33), based on the single-operator network coverage map, of a second set of map data associated with a first geographic extension, a obtaining (S34) of a multi-operator network coverage map associated with a plurality of wireless communication network operators, a determination (S36), based on the single-operator network coverage map and the multi-operator network coverage map,of a third set of cartographic data associated with a second geographical extension. Figure accompanying the summary: Figure 3,

A method of estimating a radio map from environmental context comprises designating a training area and for each transmitter location in the training area, generating a channel parameter radio map that is centered on the transmitter and is based on a ray-tracing twin model and generating a two-dimensional elevation map, centered on the transmitter, corresponding to the training area. The method may further comprise training a U-Net-based or any other neural network-based model using the channel parameter radio maps and the two-dimensional building elevation maps corresponding to the transmitters in the area, to produce a trained model, and designating an area to be radio-mapped. The method may further comprise providing the trained with a two-dimensional input elevation map derived from a three-dimensional model of the area to be radio mapped, and producing, by the model, an estimate of the radio map based on the two-dimensional elevation map.

The application discloses an information processing method and device. The method comprises the following steps: a first device acquires a coverage map, cell configuration information and user trajectory information. The user trajectory information is used to indicate N positions of the first device in a first time period. The N positions are arranged in chronological order. The coverage map is used to indicate cells accessed by the N positions. The cell configuration information is used to indicate neighboring cells of the cells accessed by the N positions. Based on the coverage map, the cell configuration information and the user trajectory information, cell switching trajectory information is determined. The cell switching trajectory information is used to indicate M cells accessed by the first device in the first time period. The M cells are arranged in chronological order. N is a positive integer, and M is a positive integer less than or equal to N. The method can obtain the cell switching trajectory information through simulation.

Generating wireless coverage maps includes receiving, for each of a plurality of mobile devices communicating wirelessly with a server system, mobile device location information and mobile device communication service information; generating a dead zone volume map based on the mobile device location information and the mobile device communication service information, the dead zone volume map defining a dead zone volume for a wireless communication service; and generating a dead zone geofence boundary volume map based on the dead zone volume map, the dead zone geofence boundary volume map defining a geofence boundary relative to the dead zone volume and further defining a buffer zone between at least a portion of the geofence boundary and at least a portion of the dead zone volume, the buffer zone defining a zone in which the wireless communication service is available for at least one of the mobile devices.

The present disclosure relates to a method (30) for determining, by a server, map data to be transmitted to a vehicle via a wireless communication network to which the vehicle is connected, comprising: determining (S30) a first set of map data associated with a geographical region, obtaining (S31) a single-operator network coverage map associated with an operator of the wireless communication network, determining (S33), based on the single-operator network coverage map, a second set of map data associated with a first geographical extension, obtaining (S34) a multi-operator network coverage map associated with a plurality of wireless communication network operators, determining (S36), based on the single-operator network coverage map and the multi-operator network coverage map,of a third set of cartographic data associated with a second geographical extension. Figure accompanying the abstract: Figure 3,

Described herein are systems, methods, and other techniques for generating a ground coverage map that indicates portions of a site that have been modified by a vehicle operating within the site. First and second modifier data regarding an operation of a site modifier device of the vehicle at first and second times are captured using a site modifier sensor attached to the vehicle. First and second coverage regions are predicted based on the first and second modifier data, the first and second coverage regions corresponding to regions within the site that are modified by the site modifier device at the first and second times. First and second coverage images are computed based on the first and second coverage regions. The first and second coverage images are accumulated to generate the ground coverage map.

Systems and methods for thermal monitoring of electrical panels and cabinets. The system comprises sensor nodes and rigid links. The nodes may be modular and configured to connect to one another through the rigid links. The rigid links may be of a predefined length and the physical layout of the nodes may be determined by mapping each node to a coordinate location based on the length of the rigid link and the position and orientation of the starting and ending ports on the nodes being connected. This allows for the generation of coverage maps of the sensors and layouts to be generated without prior knowledge of the node placement.

The application discloses a kind of pumped storage power station earthwork engineering quantity dynamic prediction method, specifically relates to engineering management information processing field, for solving the problem that real terrain change is caused by misabsorption of cross-period registration and the quantity sequence is out of alignment, and plan scheduling input is unstable, is by building reference domain state record and reference domain health label limit available area index, in available range, implement limited registration and generate credible coverage map, in credible coverage, carry out elevation difference and construction partition mapping to form engineering quantity sequence, according to deviation diagnosis organization sampling review and generate reference domain update instruction and flight path fine adjustment suggestion, realize the stable transmission of data chain from measurement to plan.

One or more computing devices, systems, and / or methods for network equipment solution generation utilizing network signals are provided. Network signals collected by devices within a location are evaluated by a neural network to generate contextually aware pixel values forming a vision map of the location. The contextually aware pixel values and / or the vision map are evaluated to generate a coverage map corresponding to regions of low signal coverage and obstacles proximate the regions. A simulation of network equipment operating at the location is performed using the coverage map to generate a simulation result. The simulation result is used to generate an installation plan to install network equipment at the location.

The invention discloses a radar jigsaw and map superposition display method and system, and relates to the technical field of meteorological radar jigsaw, and the method comprises the steps: carrying out the information extraction of a radar jigsaw sequence of meteorological data, and obtaining a pure radar thematic map sequence and a preliminary base map sequence; performing pixel-by-pixel combination on all the preliminary base maps in the preliminary base map sequence to obtain a complete base map; extracting coverage type elements in the radar jigsaw sequence based on color filtering, and generating a coverage layer; calculating a difference matrix of the radar jigsaw sequence and the complete base map based on a matrix difference method, and generating a binary mask map sequence based on the difference matrix; generating a refined radar map based on the binary mask map sequence and the pure radar thematic map sequence; performing coverage area correction on the refined radar map based on the coverage map layer to obtain a corrected radar map; and performing geographic coordinate registration on the corrected radar map, and superposing the corrected radar map on a target map. According to the invention, the technical problems of low efficiency and insufficient precision in the prior art are solved.

The invention relates to the technical field of data analysis, in particular to a teaching data analysis method and system, a medium and a program product, and the method comprises the steps: obtaining the movement information of a teacher in a preset teaching time period, and determining a teacher walking thermodynamic diagram of the teacher in the preset teaching time period based on the movement information; acquiring learning state information of the students in a preset teaching time period, and determining a learning state index of each student in the teaching time period based on the learning state information; determining a teaching coverage map based on the teacher walking thermodynamic diagram and the learning state index of each student; and determining a to-be-concerned area and to-be-concerned teaching content based on the teaching coverage map, and generating a teaching feedback suggestion based on the to-be-concerned area and the to-be-concerned teaching content, the teaching feedback suggestion being used for reminding the teacher to perform teaching adjustment in the next teaching time period. According to the invention, the integration degree of the AI teaching technology in the actual teaching process is improved, so that the teaching quality is improved.

The application provides a three-dimensional space collision avoidance system based on a multi-tower crane, and relates to the technical field of port hoisting operations.The three-dimensional voxel grid VoxelGrid space map is constructed, including a first horizontal coverage map, a second descending coverage map, a third fan-shaped area occupation map, a fourth track occupation area map and a fifth interference area map.The system can identify the spatial overlap area of the tower crane operation path at the voxel level, break through the limitations of traditional path planning methods in terms of spatial modeling dimensions and accuracy, and enhance the fine granularity and accuracy of collision detection.The dynamic acquisition module and the dynamic interference module are introduced, which can realize real-time sensing of the dynamic disturbance caused by factors such as wind and waves, tides and the like in the port operation environment, and predict the deviation trend of the end of the hoist, so as to make target correction and trajectory compensation before trajectory execution, thereby effectively reducing the hoist misencounter or landing deviation caused by trajectory drift.

The invention discloses a mountain fire monitoring deployment method, system and device based on a laser radar and a medium. The method comprises the following steps: acquiring geographic information system data; the method comprises the following steps: acquiring a target area of forest fire monitoring according to geographic information system data, and performing grid division on the target area to acquire a candidate deployment point set; establishing a coverage matrix of each candidate deployment point, and constructing a coverage graph based on the coverage matrixes; and based on the coverage map, constructing a minimum dominating set objective function, and solving the objective function by using an optimization algorithm to obtain an optimal deployment point position. According to the method, complex landform and environmental factors of a mountainous area are fully considered, comprehensive solving of the problems of deployment cost, monitoring blind areas, deployment strategies, algorithm applicability and the like is achieved through mathematical modeling and algorithm optimization, comprehensiveness, real-time performance and network connectivity of mountain fire monitoring are improved, meanwhile, the overall cost is reduced, and the method is suitable for popularization and application. And the deployment efficiency and the practicability of the algorithm are improved.

Methods and systems for building a coverage map for a mobile network operator based on a plurality of location reports received from a plurality of deployed asset tracking devices, the reports including geolocation data and mobile network identifiers. On request from a user device the coverage map is used to generate an overlay atop a geographical map showing the boundaries of coverage for that mobile network operator.

At a high level, the technology disclosed herein relates to navigating network coverage (e.g., cellular coverage, cellular coverage for critical use cases, etc.). For example, mobile devices, drones, electric vehicles, etc., traversing from a first location to a destination location may receive indications that one or more particular locations along a route from the first location to the destination location have low network coverage (e.g., having network coverage data that is below a threshold). Embodiments of the present technology may include generating and providing a map overlay, for a map that includes routes from the first location to the destination location, that includes locations along the route that have network coverage data below the threshold. For example, the map overlay may indicate which route has the highest network coverage ranking.

Techniques for wireless communication are disclosed. Aspects of this disclosure relate to an RF-S coverage map based on an RF-S coverage area associated with multiple radio frequency sensing (RF-S) nodes. Other aspects of this disclosure relate to grouping RF-S nodes, wherein one or more of the grouped RF-S nodes include non-gNB RF-S nodes.

Disclosed is a system (300) and a method (400) for estimating population coverage in a wireless communication network (100). The method includes partitioning (402) a coverage map of a coverage area (106) associated with a plurality of cells (102) into a plurality of grids. The method further includes determining (404), based on a mapping of trace data associated with User Equipment (UEs) on the plurality of grids, a count of the UEs in each grid of the plurality of grids. Further, the method includes tagging (406) each grid with a corresponding coverage bucket among a plurality of coverage buckets. Furthermore, the method includes estimating (408) the population coverage in a specific area within the coverage area based on a total count of the UEs in a specific coverage bucket among the plurality of coverage buckets in the specific area and a total count of the UEs in the specific area.

A ground station is used by an air traffic controller to provide support to an aircraft. In particular, the ground station may mirror or regenerate a weather radar overlay of a flight display of the aircraft. The air traffic controller and the flight crew may then both see the same real-time weather information with minimum delay and achieve a similar level of situation awareness. The weather radar overlay may be displayed on a display of the ground station. The ground station may receive weather data and ADS-B data or other forms of location data and intended flight path from the aircraft via an air-to-ground communication channel. The weather data may be used to regenerate the weather radar overlay. The ground station may also use the ADS-B data to generate a coverage map of the aircraft in a selected airspace.

Generating wireless coverage maps includes receiving, for each of a plurality of mobile devices communicating wirelessly with a server system, mobile device location information and mobile device communication service information; generating a dead zone volume map based on the mobile device location information and the mobile device communication service information, the dead zone volume map defining a dead zone volume for a wireless communication service; and generating a dead zone geofence boundary volume map based on the dead zone volume map, the dead zone geofence boundary volume map defining a geofence boundary relative to the dead zone volume and further defining a buffer zone between at least a portion of the geofence boundary and at least a portion of the dead zone volume, the buffer zone defining a zone in which the wireless communication service is available for at least one of the mobile devices.