96 results about "Coverage map" patented technology

The invention provides a low-altitude airspace dynamic decision-making system based on a multi-modal large model, and relates to the technical field of low-altitude airspace traffic management.The low-altitude airspace dynamic decision-making system is characterized in that a first thermal disturbance coverage map, a second shear wind high-risk area map, a third turbulence risk drainage basin map and a fourth sudden obstacle prediction area map are generated by a map construction module; the aircraft can judge whether the aircraft enters the dangerous area in real time and assess the safety of the flight path according to the superposed risk value. When the superposition risk value # imgabs0 # of the flight path section passing through the jth area in the first original flight path of the ith aircraft is in a middle risk section, the system generates a first-level avoidance strategy, and the height, the speed and the course of the aircraft are adjusted; and when the superposed risk value # imgabs1 # is a high-risk section, the system generates a secondary avoidance strategy, and bypasses a high-risk area by remarkably increasing the flight height and reducing the speed.

In one embodiment, a current path of a mobile device is determined based on radio signals between the mobile device and a base station, which indicates a sequence of positions of the mobile device over a current time window. A future path of the mobile device is then predicted based on the current path, which indicates a sequence of predicted future positions of the mobile device over a future time window. A link performance prediction (LPP) is then generated for the mobile device based on the future path of the mobile device and a base station coverage map. The base station coverage map indicates a radio signal quality across a base station coverage area, which is represented as a three-dimensional (3D) coordinate space. Moreover, the LPP indicates a predicted performance of a radio link between the mobile device and the base station during the future time window.

Disclosed are techniques for wireless communication. Aspects of the disclosure are directed to a radio frequency sensing (RF-S) coverage map based on RF-S coverage areas associated with multiple RF-S nodes. Other aspects of the disclosure are directed to grouping of RF-S nodes, where one or more of the grouped RF-S nodes include non-gNB RF-S nodes.

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.

Generating a wireless coverage map includes: receiving mobile device location information and mobile device communication service information for each of a plurality of mobile devices in wireless communication with a server system; generating a blind area volume map based on the mobile device location information and the mobile device communication service information, the blind area volume map defining a blind area volume of a wireless communication service; and generating a blind area geo-fence boundary volume map based on the blind area volume map, the blind area geo-fence boundary volume map defining a geo-fence boundary with respect to the blind area volume, and further defining a buffer between at least a portion of the geo-fence boundary and at least a portion of the blind area volume, the buffer defines an area in which the wireless communication service can be used for at least one of the mobile devices.

A server may obtain wireless network coverage information from crowdsourcing devices, where the wireless network coverage information indicates characteristics of wireless network coverage at different locations along various routes of travel. The server may determine a wireless coverage map of an area based on the wireless network coverage information, where the wireless coverage map comprises, for locations along one or more routes of travel within the area, a respective wireless coverage indication indicative of a level of wireless coverage for wireless networks at the respective location. The server may send route-based coverage information to a mobile device for a particular route, where the route-based coverage information includes the respective wireless coverage indication, from the coverage map, for one or more locations along the particular route.

The invention provides a WIFI network access method and device, equipment and a storage medium. The method comprises the following steps: determining each WIFI access point which can be accessed by terminal equipment; determining a target WIFI access point according to the position information of the terminal equipment and the network quality coverage map corresponding to each WIFI access point, and accessing the target WIFI access point; the network quality coverage map is used for representing network quality information of a WIFI network corresponding to the WIFI access point at each position point in a coverage range; the target WIFI access point is the WIFI access point with the highest network quality information under the position information of the terminal equipment; the network quality coverage map is determined by the WIFI access point according to the network quality data uploaded by the plurality of historically accessed terminal devices and the position of the WIFI access point, and the network quality data uploaded by the terminal devices can cover information such as shielding and interference in the WIFI network coverage range. The determined network quality coverage map can reflect the actual condition of the network quality, so that the WIFI network with the optimal current network quality can be accurately accessed.

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.

In one instance, disclosed herein is a method for providing a GNSS future coverage map, the method comprising: receiving worksite geography data associated with a worksite and satellite ephemeris data associated with a future time period; determining, based at least in part on the worksite geography data and the satellite ephemeris data associated with the future time period, GNSS coverage of the worksite throughout the future time period; generating a future coverage map representing the GNSS coverage of the worksite throughout the future time period; and causing a graphical user interface (GUI) to display the future coverage map.

A data communication network includes data communication nodes configured to establish data connections with user equipment devices within an RF coverage area, imaging devices configured to provide image information for the RF coverage area, and an information handling system. The information handling system receives RF coverage information from the data communication nodes, receives first image information from the imaging devices, determines a first RF coverage map for the RF coverage area based upon the RF coverage information and the image information, provides a first bandwidth allocation to the data communication nodes based on the first RF coverage map, receives second image information from the imaging devices, determines that the first RF coverage map has changed to a second RF coverage map based upon a difference between the first image information and the second image information, and provides a second bandwidth allocation to the data communication nodes based on the second RF coverage map.

The invention provides a crop extraction method and system coupling a time sequence and a space attention mechanism. The method comprises the following steps: acquiring a target crop remote sensing image data set, inputting the target crop remote sensing image data set into a trained target detection model, and outputting a crop coverage map of a target area; the target detection model is a U-Net deep learning network model introducing a time sequence and space attention mechanism. The method can effectively extract the multi-scale features of different depths of the target crop in the image, enables the recognition result to be high in precision, is easy to achieve, is high in efficiency, and is high in practicality.

Embodiments of the present disclosure generate a model of signal strengths in an environment and provide visualization of data associated therewith, for example signal strengths. Some embodiments receive one or more portions of data, such as entity parameter data corresponding to at least one signal handling entity and dynamic environment data associated with an impact of a signal strength of at least one signal type, generate a model of signal strengths in an environment based at least in part on such data, identify a set of coverage areas, and output one or more coverage maps based at least in part on the model. The coverage maps may include a top-down coverage map and a vertical profile coverage map.

The present application discloses a disaster warning method, device, and storage medium based on a low-orbit satellite, including: determining a first wave position coverage map corresponding to a first ground area, determining the first wave position of the first ground area; determining a first geographic traffic map and a first grid map corresponding to the first wave position, generating a first grid connectivity relationship graph corresponding to the first wave position based on the first geographic traffic map and the first grid map; constructing a graph structure corresponding to the first wave position based on the first grid connectivity relationship graph; inputting the graph structure into a pre-trained graph neural network model, outputting a first influence coefficient corresponding to each first node; comparing the first influence coefficient of each first node with a pre-set influence coefficient threshold, and issuing a disaster warning to users in a second ground area corresponding to a second grid. This method achieves the technical effect of accurately notifying potentially affected users without consuming a large amount of resources, thereby ensuring the safety of users.

A method performed by a processing system including at least one processor includes sending an instruction to an application executing on a mobile device, where the instruction causes the application to configure the mobile device to measure and report a radio frequency of a first wireless communications access network, wherein the mobile device is subscribed to a service provided by a second wireless communications access network, receiving measurements of the radio frequency of the first wireless communications access network from the mobile device, and generating a coverage map illustrating a coverage of the first wireless communications access network, using the measurements.

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.

Systems and methods for taking actions in response to a condition or state of a mobile device are disclosed. The system receives interactions between agents and subscribers of a telecommunications service provider relating to use of the mobile device to access a network. The system accesses subscriber data for the subscriber based on the interactions, the subscriber data including a coverage map. The system determines a usage pattern characterizing the use of the mobile device to access the network. And the system uses the interactions, the subscriber data, and the usage pattern to recommend an action to respond to a condition or state associated with the mobile device. The action can include updating the mobile device, changing a device state, or replacing the mobile device. In some implementations, the system trains and uses a machine learning model to recommend the action and / or to identify and access the subscriber data.

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.

A method operates a vehicle navigation system, in which vehicles of a vehicle fleet are classified into vehicle groups according to an antenna characteristic with respect to a terrestrial wireless network. The vehicles of the vehicle fleet ascertain at various measurement locations the position of the measurement location and the signal strength and / or the signal quality of the wireless network. The vehicles each generate for each of the measurement locations, signal data, which signal data correspond to the position of the measurement location, the vehicle group of the transmitting vehicle, and the signal strength and / or the signal quality of the wireless network at the measurement location, and transmit the signal data to a backend. The backend processes the signal data in order to create a network coverage map for each of the vehicle groups, which is specific for the antenna characteristic of the respective vehicle group. A navigation system of at least one of the vehicles of the vehicle fleet carries out a navigation function on the basis of the network coverage map assigned to the vehicle group of the at least one vehicle.

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,