19 results about "Coverage Type" patented technology

The invention discloses an urban flood mapping and driving factor analysis method based on multi-source remote sensing data, and the method comprises the steps: respectively extracting an optical semi-permanent water body and an SAR semi-permanent water body based on a global surface water body data set and a Sentinel-1 image, and taking the intersection of the optical semi-permanent water body and the SAR semi-permanent water body to generate an enhanced semi-permanent water body mask; extracting a water body in a flood period by using the Sentinel-1 image to obtain flood water body distribution, and performing water body extraction precision verification in combination with the Sentinel-2 image; the precision of the SRTM DEM is improved based on a DEM error prediction model of a Transform network, and a corrected DEM is generated; and constructing a multi-dimensional spatial analysis model based on the elevation, gradient and surface coverage type of the corrected DEM, and identifying spatial distribution characteristics and a terrain driving mechanism of the flood water body. According to the method, comprehensive analysis is performed in combination with terrain factors, and the spatial precision and timeliness of flood risk assessment can be improved.

The invention provides a coastal zone land coverage type classification method based on a random forest and a topology rule, and belongs to the technical field of coastal zone land coverage type classification. The method comprises the following steps: based on a GEE cloud platform, integrating a multispectral remote sensing image and elevation data, extracting spectral features and geographic features, and realizing pixel-level classification of random forest machine learning; generating a clustering unit through a simple non-iterative clustering method, and performing object-oriented special classification on the water body and the aquaculture pond in combination with spectral and morphological characteristics of the clustering unit; spatial filtering is introduced to remove salt and pepper noise, a coastal zone ground feature topology rule base is established to carry out spatial logic verification, and coastal zone land coverage classification with high precision and reasonable spatial layout is realized. According to the method, the multi-source remote sensing data and the multi-level classification strategy are fused, the problems of coastal zone ground feature spectrum confusion, boundary fuzziness and space logic inconformity are effectively solved, the classification precision and practicability are remarkably improved, and the method is suitable for land coverage monitoring and management of the complex coastal zone environment.

Computer-implemented methods, mobile computing devices, and tangible, non-transitory computer-readable media storing instructions for creating one or more new insurance policy quotes for a customer associated with a customer vehicle may be described. The computer-implemented methods may include tracking, by a mobile computing device in conjunction with one or more sensors, a particular type of usage data of a customer vehicle based on a coverage type, of a plurality of coverage types, for the customer vehicle, wherein a first type of usage data is tracked for a first coverage type and a second type of usage data is tracked for a second coverage type, the first type of usage data being distinct from the second type of usage data; and transmitting, by the mobile computing device to a computing device, the particular type of usage data.

The invention discloses a multi-box networking Bluetooth continuous coverage type electrocardiogram data acquisition system and an acquisition method. The core problems that in a large-area, long-time-interval and batch monitoring scene, Bluetooth coverage is discontinuous, multi-device cooperative expansion flexibility is poor, Type-C interface charging and data reading functions are mutually exclusive, and mobile scene data transmission is prone to being interrupted and lost in an existing electrocardiogram collection technology are solved. According to the invention, an integrated portable acquisition box is used as a core networking node, a centerless Bluetooth Mesh ad hoc network is constructed, multi-port Type-C parallel double-path shunting hardware is designed, a hardware-driven pre-synchronization post-switching seamless roaming mechanism is adopted, and a corresponding acquisition management method is matched. On-demand expansion of a monitoring coverage range, parallel cooperation of multi-terminal batch charging and off-line data reading and uninterrupted low-delay transmission of mobile scene electrocardiogram data are achieved, the system integration degree is high, deployment is convenient and fast, and operation is stable and reliable.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may select a default value for a radio parameter used for communicating with a network node based at least in part on whether the network node is a terrestrial network (TN) node or a non-terrestrial network (NTN) node, an orbit type associated with the network node, or a coverage type associated with the network node. The UE may transmit a communication, e.g., to the network node based at least in part on the default value for the radio parameter. Numerous other aspects are described.

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.

1. Name of the product in this design: Disposable laryngeal lens (full cover type). 2. Purpose of this design: To be used in conjunction with a video laryngoscope for laryngeal examination. 3. The key design feature of this product is its shape. 4. The picture or photo that best illustrates the key design points: Design 1 3D diagram 1. 5. Design 1 is designated as the basic design.

The invention provides an active early warning method for FOD reverse recognition in a flight state of an aircraft, and the method comprises the steps: comparing detection data with an FOD expected flight path based on various detection devices and display devices of the aircraft according to reference data, non-FOD feature data and the expected flight path of the aircraft built in the aircraft, reversely eliminating non-FOD objects, and carrying out the early warning of the FOD reverse recognition in the flight state of the aircraft. And through superposition of visual data on the aircraft and display data, a suspected FOD object of a real visual scene is marked, and final confirmation is completed through manual processing or data analysis. According to the method, more reliable FOD identification processing logic is provided for the take-off and approach stages of the aircraft, the detection accuracy, the detection coverage range and the detection coverage type are improved to the maximum extent by reversely identifying the processing logic of the FOD according to various existing detection capabilities and processing capabilities of the aircraft, the implementation cost can be low, and the method is suitable for popularization and application. And the flight safety of the aircraft in the take-off and approach stages is effectively improved.

The invention discloses an SAR radiation cross calibration method, device and equipment based on building area feature weight distribution and a storage medium, and relates to the technical field of remote sensing, and the method comprises the steps: carrying out the mask extraction of a target reference SAR image and a target to-be-calibrated SAR image based on a land coverage type product, and obtaining a target to-be-calibrated SAR image; obtaining a target reference building area pixel and a target to-be-calibrated building area pixel; performing data clustering on the target reference building area pixel and the target to-be-calibrated building area pixel through a target clustering algorithm to obtain a reference area set and a to-be-calibrated area set; performing feature calculation based on weight distribution on the reference region set and the to-be-calibrated region set to obtain reference stable features and to-be-calibrated stable features; and performing radiation correction on the target to-be-calibrated SAR image based on the reference stability feature and the to-be-calibrated stability feature to obtain a target calibrated SAR image. Radiation correction is carried out on the SAR image through a target clustering algorithm and weighted feature calculation, and the accuracy of radiation correction is improved.

The invention relates to the technical field of mattresses, and discloses a magnet fixing device of a magnetic line full-covering type magnetic therapy mattress, which comprises a mattress shell, a flexible layer and a support layer are arranged in the mattress shell, and a plurality of adjusting units are arranged between the support layer and the flexible layer in a matrix manner; the multiple lifting air bags located in the same row communicate with the same air source, and row-by-row linkage control over the adjusting units is achieved. When an air source inflates the lifting air bags in the same row synchronously, the lifting air bags in the guide pipes expand synchronously to push the lower magnet parts, the upper magnet parts and the telescopic rods to ascend synchronously, so that the multiple bearing pieces corresponding to the row jack the flexible layer together, and a continuous linear protruding structure is formed on the surface of the mattress. The protruding structure can be designed according to human engineering, and a supporting curved surface is formed on the cervical vertebra portion to support the cervical vertebra of the human body and maintain the physiological curvature of the cervical vertebra.

The invention provides an uncontrolled photogrammetric high and steep slope deformation monitoring method, which belongs to the technical field of geological engineering monitoring and photogrammetric crossing, and comprises the following steps: obtaining a general model; planning and measuring close to a photogrammetry route; gNSS-assisted unmanned aerial vehicle image block adjustment is carried out; performing multi-temporal multi-angle unmanned aerial vehicle image measurement; calculating ground coordinates of the feature points; performing multi-factor adaptive base point screening; performing error correction on the coordinate difference value of the known feature point; kriging interpolation is carried out on the corrected coordinate difference value, a triangulation network is constructed, and a measurement area deformation field is obtained. According to the method, base point to-be-selected areas are screened by combining multi-temporal feature point three-dimensional coordinate difference analysis and clustering stability score, and RTK positioning errors and terrain interference are stripped; the terrain gradient, the crack distance and the land cover type weight are dynamically fused through a multi-factor screening model, high-confidence-coefficient base points are automatically screened, ground control points do not need to be arranged, and the monitoring cost and the safety risk are reduced; and the deformation monitoring precision is effectively improved.

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.

The invention relates to the technical field of communication, and provides a network quit evaluation method and device, equipment, a storage medium and a program product, and the method comprises the steps: obtaining network basic data of an evaluation region; the network basic data comprises cell basic information, a capacity index and a coverage index; constructing an evaluation factor based on the network basic data; the evaluation factors comprise a capacity factor, a coverage factor and an evolution factor; and evaluating the network quit type of each cell in the evaluation area according to the evaluation factor. By constructing the evaluation factors, the multi-factor automatic network exit evaluation of each cell in the evaluation area is realized, the labor investment is reduced, and the evaluation efficiency and the comprehensiveness of coverage evaluation are improved.

The invention relates to the technical field of ecological environment monitoring, in particular to an ecological environment monitoring device based on remote sensing images, which comprises a data acquisition and preprocessing module used for acquiring current and historical remote sensing images and meteorological data of a target area and constructing a time sequence data set; the land coverage identification module is used for identifying the land coverage type of the target area; the reference area selection module is used for delimiting a reference area in a preset range; the meteorological-spectral mapping model building module is used for building a mapping function from meteorological data to spectral reflection characteristics; the spectrum anomaly detection and region correction module is used for comparing the difference between the actual spectrum and the expected spectrum output by the model, and performing boundary cutting correction on an abnormal region to obtain a new target region after meteorological influence correction; and the ecological parameter inversion and output module is used for performing inversion and mapping of the ecological parameters. The adaptive capacity to different weather conditions can be improved, and the accuracy of a monitoring result is enhanced.

The application discloses a high-resolution remote sensing image land cover classification method, which aims to assign a ground object category to each pixel in a high-resolution remote sensing image. Since traditional methods are difficult to fully extract the features of complex ground objects, the classification accuracy is not high in complex scenes. In high-resolution remote sensing images, the land cover types are more dependent on the semantic information of ground objects, and the judgment ability of features is higher. The application considers that the attention mechanism will cause loss to the local features extracted by CNN, and proposes a network model of CNN coupled with Transformer to fuse the features of two branches. The CNN branch extracts local detail information of the image, and the Transformer branch extracts global information to enhance the features of the region of interest of the local image block. In order to reduce the feature loss during feature fusion, a local-global improved context linear attention feature fusion module is proposed to complete the feature fusion of the two branches, greatly improving the segmentation effect, and realizing high-precision land cover classification of remote sensing images.

The utility model relates to the technical field of escalator machining, and discloses a multifunctional escalator upper and lower portion 3D welding tool which comprises a supporting frame, the upper end of the supporting frame is fixedly connected with a bottom plate, a 3D adjusting device is arranged on the upper surface of the bottom plate, and a positioning limiting device is arranged on the outer side of the 3D adjusting device. A bottom anti-impact device is arranged below the bottom plate, and escalator side plates are placed above the supporting frame. By means of the fixed plate, the transverse sliding bin, the movable plate, the threaded rod, the handle, the longitudinal sliding bin, the sliding support and the fixed support, when escalator assemblies with different lengths and widths are assembled, a main body frame of the escalator assemblies can be fixed and positioned, and therefore assembling of the upper portions and the lower portions of escalators with different widths, lengths and models is met; therefore, the full-coverage type 3D positioning effect is achieved, the cost input for manufacturing matched tools is saved, and tool elimination caused by production halt of products is reduced.

The invention relates to the technical field of emergency water drainage vehicles, and discloses a full-flow covering type emergency rescue water drainage vehicle which comprises a vehicle body, a plurality of submersible pumps and a water drainage pipe belt equipment assembly are placed in a compartment of the vehicle body, and the water drainage pipe belt equipment assembly comprises a pipe belt reel composed of a rotating pipe and two limiting baffles. The two rolling discs are located on the outer sides of the two limiting baffles respectively. By means of rolling of the rolling disc along the ground, the drainage pipe on the pipe belt reel can be rapidly spread so that emergency drainage can be conducted in time, after drainage is finished, the drainage pipe belt can be wound, and the rolling disc can also be used for rolling along the ground so that rapid winding can be facilitated. And the working intensity of operators is relieved, the rescue speed is increased, meanwhile, the problem that the drainage pipe belt is abraded and broken is effectively solved, and then the risk of leakage during emergency rescue drainage is reduced.

The invention provides a safety processing method and device based on vehicle-mounted rainfall measurement, and relates to the technical field of aided driving, and the method comprises the steps: obtaining a sampling image covering a front windshield sampling region after cleaning of a windscreen wiper, and carrying out the cutting and the pixel-level feature analysis of brightness, gradient, variance and the like on the image, so as to obtain the image; the coverage type of each pixel is jointly judged based on the brightness offset, the local gradient and the neighborhood brightness variance; forming an equivalent coverage pixel number through coverage type conversion, and obtaining a raindrop coverage proportion according to a ratio of the equivalent coverage pixel number to a total pixel point; and mapping the coverage proportion into rainfall information according to the calibration relationship, and comparing the rainfall information with a rainfall boundary threshold step by step to determine the operation state of the auxiliary driving function so as to realize real-time linkage of rainfall assessment and an automatic driving safety strategy. According to the invention, tight coupling of a rainfall assessment mechanism and an automatic driving safety domain can be realized.