37 results about "Coverage map" patented technology

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.

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.

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.

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.

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.

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 invention provides an air quality monitoring method and device, electronic equipment and a storage medium, and belongs to the technical field of air quality monitoring. The method comprises the steps that environment scanning is conducted on a target area according to a mobile monitoring robot, and a global coverage map and an environment topological structure are determined; determining a purification blind area of each purifier according to the global coverage map and the environmental topological structure, and determining a monitoring path of the mobile monitoring robot according to the purification blind area; a plurality of sampling points are arranged on the monitoring path, and the concentration value of pollutants is collected at each sampling point; according to the monitoring path and the coordinate position of each purifier, determining a multi-source sensing data set and a pollutant diffusion direction through a preset dual-channel model; and acquiring air quality data through the purification effect model. According to the air quality monitoring method and device, the electronic equipment and the storage medium, the dynamic change condition of the pollutants can be accurately judged, and the monitoring precision of the air quality is improved.

In some embodiments, a data processing method for generating a synthetic view rendering of a custom product, the method comprises: initializing, for a digital asset, a coverage mapping array; wherein each member of the coverage mapping array represents a possible coverage of sub-pixel regions of a pixel, and can be held in a scalar instruction register of a computer microprocessor; calculating a distance of each edge of the triangle from a center of a sub-pixel using a single scalar set instruction, operating on a pair of two scalar instruction set registers; using the distance and an angle of the edge to select a member of the array; combining pairs of found members of the coverage mapping array using the single scalar set instruction, operating on the pair, to assemble a sub-pixel coverage map array; rendering the pixel using the sub-pixel coverage mapping array and the sub-pixel regions of the pixel.

The invention discloses a remote sensing land utilization map making method based on SAM3, and relates to the field of remote sensing image intelligent interpretation, and the method comprises the steps: obtaining a high-resolution remote sensing image of a research region, and constructing a cue word set containing a plurality of first-level cue words and corresponding second-level cue words according to the land utilization / land coverage classification demands of the research region; the method comprises the following steps: carrying out multi-scale partitioning processing of progressive increase grid division round by round on an input image, and carrying out zero sample segmentation on each sub-block through each cue word in a secondary cue word set; performing spatial recombination and integration on the segmentation result to obtain a three-dimensional response tensor; for any pixel point in the tensor, counting the cumulative response times of the pixel point to the category corresponding to each first-level cue word in all rounds to form a pixel-level multi-round response matrix; a competition judgment mechanism based on category recognition confidence coefficient weighting is introduced, and judgment of unique category attribution of each pixel is realized, so that a land coverage map with high precision, high stability and high interpretability is generated.

This application discloses a method, apparatus, device, and storage medium for generating a wireless private network signal coverage map, belonging to the field of computer technology. The embodiment of the present application designs a standardized data preprocessing process for data heterogeneity. By performing different preprocessing operations on the input data according to different modalities and transforming it into standardized data of a preset format, features are extracted from the standardized data of each modality. This allows the extracted features to accurately represent the data of each modality, facilitating subsequent processing and fusion of different modality features within the same framework. The extracted features can be merged according to the target feature classification to obtain a feature vector that meets the model generation requirements. All the above processes are automated, and users only need to input building data or requirement data to automatically implement wireless private network planning. This reduces the threshold for network planning and design, improves the efficiency and versatility of wireless private network planning, and reduces its costs.

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, and determines a first location of the first user equipment device within the coverage map based on the image information.

The invention discloses an indoor wireless signal coverage prediction method based on Monte Carlo integral. A transmitting antenna and a receiver are arranged in an indoor scene, a geometric model of the indoor scene and attribute parameters of the transmitting antenna are collected and obtained and then input into a computer, a simulation model is established to generate rays used for describing electromagnetic wave propagation for analogue simulation, and an indoor wireless signal coverage map is obtained through multiple times of iterative processing prediction; and repeating the steps and applying random rotation for multiple simulation processing, and comprehensively obtaining a final indoor wireless signal coverage prediction result. According to the invention, path search and field intensity calculation are prevented from being carried out on each receiving point independently, so that the calculation efficiency can be improved remarkably; the problem of exponential increase of the number of rays caused by ray splitting in traditional ray tracing is avoided, so that the occupation of a video memory is remarkably reduced, the calculation efficiency is improved, the stability and precision of signal coverage prediction are improved, and the signal coverage condition of a complex indoor scene can be quickly obtained on the premise of ensuring the prediction precision.

This invention discloses a method and apparatus for continuous coverage observation of a cluster of underwater gliders, comprising: acquiring a cluster of underwater gliders, the cluster including several individual underwater gliders, and constructing motion models for each individual underwater glider based on a preset communication cycle; acquiring an observation area, determining the coverage area of ​​the cluster of underwater gliders in each communication cycle based on the observation area and the motion models of each individual underwater glider, and constructing a revisit period map and a priority coverage map based on the coverage area; constructing an agent for the underwater gliders based on preset underwater conditions, a target reinforcement learning algorithm, the revisit period map, and the priority coverage map, and performing continuous coverage observation of the observation area based on the agent of the underwater gliders; during the continuous coverage observation process, acquiring the state information of the cluster of underwater gliders, evaluating communication conditions based on the state information, and dynamically matching a target reinforcement learning algorithm based on the communication conditions.

Methods, systems, and devices are described for reducing user equipment (UE) measurement overhead by using an external source. A UE or network may be able to obtain location-specific cell coverage information from an external source, such as a coverage map or database. The network may use the coverage information to configure a measurement gap for the UE. For example, according to an external source, a UE may be located in a cell having a relatively high coverage quality compared to a coverage quality of a neighboring cell. Based on the relative coverage quality, the network may reduce the periodicity of UE measurements, change measurement gaps to aperiodic, or configure the UE to avoid measurements.

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.

An embodiment relates to a system for generating automatically and predicting network coverage maps of autonomous vehicle, including a map-mapping unit that collects network speed and quality data for a plurality of base stations from a control center by time of day, day of the week, and date and maps them onto a geographic map to generate coverage maps representing network condition, a route search unit that searches for a driving route to the destination by linking with the map-mapping unit,; a data collection unit that collects data on current states of the autonomous vehicle including at least location, date, day of the week, time, network speed, and quality data of the autonomous vehicle; and a prediction algorithm that predicts network condition of coverages mapped on the driving routes, but predicts the network condition according to expected arrival time and date of the autonomous vehicle.

The invention discloses a data and knowledge fused dual-drive land coverage mapping method, and belongs to the technical field of machine learning and land coverage mapping. The method comprises the following steps: firstly, constructing a spectral statistical feature matrix, and generating a data-driven classification result in combination with a high-confidence training sample; secondly, obtaining a year-round multi-temporal terrestrial spectrum semantic type division result, performing cumulative frequency calculation, and combining the two to generate a geographic entity classification result with semantic interpretation capability; and finally, carrying out collaborative fusion on a data-driven classification result and a geographic entity classification result, and generating an optimized annual land coverage classification map and an optimized near-real-time land coverage map in combination with a current land coverage map data product. According to the method, the advantages of data driving and knowledge driving are fully fused, and high precision, stability and semantic consistency of annual and near-real-time land coverage mapping are realized; the space continuity, the space-time generalization ability and the application reliability of a classification result can be improved, and the method has high practicability and expandability.

The application discloses a diamond-based gallium nitride composite substrate with a phonon engineering interface and a preparation method thereof. The composite substrate comprises, from bottom to top, a polycrystalline diamond heat dissipation layer containing a femtosecond laser modified network, a phonon engineering interface region composed of a silicon carbide nanopillar array and a hexagonal boron nitride phonon bridging layer, a Si(111) single crystal silicon template layer and a III group nitride epitaxial structure. The hexagonal boron nitride bridging layer is distributed between the nanopillar root and the single crystal silicon, and forms a four-stage phonon impedance gradient interface with the array, which reduces the Kapitza thermal resistance by more than 80% compared with a bare interface. The femtosecond laser modified network is simulated and planned by a digital twin model, and predictive stress programming is realized. The preparation method controls the carbonization power through a boron nitride coverage map to form a defect self-adaptive mechanism; three layers of closed loops of microwave deposition, laser compensation and batch learning are adopted to optimize the nucleation quality, warpage control and consistency. The application is suitable for the manufacture of high-power GaN HEMT and millimeter wave device heat dissipation substrates.

Machine learning (ML) assisted coverage planning determination for a wireless communication system (WCS) is provided. The WCS includes multiple wireless transmitters configured to provide wireless communication services to a vast number of wireless receivers in a venue. To ensure that the wireless transmitters can collectively provide a desirable coverage in the venue, it is often necessary to compute a coverage map for each radio frequency (RF) channel associated with each of the wireless transmitters. Herein, a computing device is configured to train an ML network based on a smaller sample set of the wireless transmitters and then uses the trained ML network to regenerate the coverage map involving all the wireless transmitters when any configuration change is made in the WCS. As such it is possible to dramatically reduce processing time and computational resources required for reconfiguring the WCS, thus helping to reduce unwanted service disruption in the WCS.

This application discloses a method, device, apparatus, and storage medium for generating a wireless private network signal coverage map, belonging to the field of computer technology. The embodiment of this application uses an artificial intelligence model to flexibly, accurately, and efficiently solve the problem that wireless network planning usually depends on the design schemes of professional teams or the output of professional simulation tools. It helps to promote the popularization and development of private network construction. The embodiment of this application can process input data to obtain a three-dimensional structure diagram of the interior of a building, and determine the signal strength corresponding to the base station for each grid point in the three-dimensional structure diagram through the target feature vector obtained from the input data, to generate a wireless private network signal coverage map inside the building. The entire process is automated, and users only need to input building data or demand data to automatically implement wireless private network planning, which reduces the threshold for network planning and design schemes, improves the efficiency and versatility of wireless private network planning, and reduces its cost.

The invention discloses an analysis method for generating radar detection power based on target track big data, and relates to the technical field of radar detection. According to the method, firstly, comprehensive and accurate evaluation of radar detection performance is realized by using historical target track big data and radar original detection trace point data, and the problem of deviation between a traditional theoretical model and an actual environment is solved; secondly, in combination with a digital elevation model and earth surface coverage type data, complex environmental factors such as terrain shielding and a multi-path effect are considered, and the reliability and applicability of an evaluation result are improved; furthermore, a binomial distribution statistical model and a Bayesian estimation method are adopted, so that the calculation accuracy of the detection probability and the measurement precision is improved; a visual display function is realized, and a generated radar detection power coverage map and a generated precision distribution map provide visual support for optimized deployment of a radar system; through model verification and iteration steps based on K-S test, continuous optimization and adaptability of the model are ensured.