84 results about "Spatial maps" patented technology

The invention relates to the technical field of water quality monitoring, and discloses a sewage quality on-line monitoring method and system.The sewage quality on-line monitoring method comprises the steps that time alignment processing and data quality evaluation are conducted on original water quality sequences collected at all monitoring point positions, and aligned data and data quality weights are obtained; constructing a time delay space diagram; performing joint estimation on the global water quality state to obtain global state estimation and uncertainty; performing anomaly detection and identifying an abnormal propagation path and a suspected source to obtain an anomaly score and a source confidence sorting list; formulating a self-adaptive sampling strategy, and determining the sampling frequency of each monitoring point position; on the basis of the time-delay observation equation and weighted optimization, online joint estimation of the global water quality hidden state is achieved, reverse traceability is carried out by combining the residual standardization anomaly score and the time-delay space diagram, the anomaly can be found, the possible source and propagation direction of the anomaly can be located, and the pertinence and interpretability of disposal are improved.

A robotic device scans at least a portion of an environment. The robotic device includes one or more LiDAR sensors to scan the environment. A management system receives sensor data generated by the one or more LiDAR sensors to determine a three dimensional (3D) point cloud representing at least the portion of the environment. A layout of the environment is determined, where the layout represents a location of objects within the environment. At least one discrepancy between the 3D spatial map and the layout is determined. Based at least in part on at least one discrepancy, a map of the environment is generated.

The invention relates to the technical field of intelligent transportation, and particularly discloses a site selection optimization method and system for a temporarily-built plant station of a highland mountainous area expressway. The method comprises the following steps: acquiring functions of a concrete mixing station, a precast beam field and a temporarily-built plant station of a steel bar processing plant to obtain a BIM risk simulation program; acquiring a plateau mountainous area live-action three-dimensional model, and fusing the plateau mountainous area live-action three-dimensional model with a BIM risk Acquiring geological and climate data, converting the geological and climate data into a GIS space map layer, and associating the GIS space map layer with a BIM risk simulation program; a built-in geological taboo rule is set, rasterizing scanning is automatically carried out on the whole domain, and a high-risk area is eliminated; dangerous source identification is carried out on terrain risks, climate risks and construction interaction risks; according to the identification risk type and grade, recommending a protection structure and generating a BIM component; and automatically generating a plurality of site selection coordinates and a plant station layout optimization scheme. According to the method, the period of traditional site selection and protection design is shortened, and meanwhile the scientificity and economical efficiency of the scheme are guaranteed.

The invention discloses a crowdsourcing digital information trace leaving system and method for an augmented reality environment, and relates to the technical field of augmented reality, the system comprises a client device and a cloud server, and data interaction is carried out between the client device and the cloud server; wherein the client equipment comprises an environment sensing module, a positioning module and a digital nick processing module; the cloud server comprises a map index module, a digital nicking module, a management module and an operation calculation module; the environment sensing module senses the environment and its own position based on a sensor. Professional team acquisition is replaced by a crowdsourcing mode, construction and dynamic extension of a global high-precision AR space map are realized at extremely low cost, and the core pain point of industry high-cost mapping is solved; the four interaction media cover discrete information marking-spatio-temporal backtracking-3D creation-2D anchoring of a whole scene, deep binding of digital information and a physical space is achieved, unprecedented AR social immersion is provided, and a sustainable profit mode is provided for a platform.

The invention provides a building information model and city information model cross-scale consistency three-dimensional modeling method based on space intelligence. The method comprises the following steps: extracting a three-dimensional geometric patch set from an original building information model, constructing an initial modeling object and a component space diagram, and calculating a transformation operator through footprint matching to realize automatic alignment; the user-defined family attributes are analyzed to execute cross-scale semantic mapping, semantic classification information is generated, and a building shell model is generated through geometric generalization processing; opening features are extracted and mapped to the shell model, three-dimensional topology reconstruction is executed in combination with the component space diagram, and city information model target components with topology closing performance are generated. And finally, performing incremental updating based on the alignment deviation. According to the method, the problems of inaccurate geographic alignment, geometric degradation and semantic loss in cross-scale model fusion are solved, and the logic leakproofness and data maintenance efficiency of urban digital twin base modeling are effectively improved.

In one aspect, a device management platform is provided. The device management platform includes environmental sensors and a host system. The environmental sensors are deployed at different locations within a gaming venue, each including at least one sensor configured to capture environmental data at one of the different locations. The host system is configured to receive, from the environmental sensors, the environmental data, identify spatial data that defines a floor layout of the gaming venue and the different locations of the environmental sensors, correlate the spatial data with the environmental data to generate a spatial map of the environmental data within the gaming venue, and identify a subscriber for the spatial map. The host system is further configured to determine, based on the subscriber, access rules for the spatial map, and provide, based on the access rules, at least a portion of the spatial map to the subscriber.

The invention relates to the technical field of urban thermal environment assessment and ecological space optimization, and discloses an earth surface heat island intensity assessment method, system and device and a storage medium, and the method comprises the steps: obtaining blue-green landscape fragmentation results under different window scales; determining an optimal threshold window for blue-green landscape fragmentation measurement; calculating the foreground area density of the blue-green landscape in the research area under the optimal threshold window; based on the foreground area density, carrying out fragmentation type division on the blue-green landscape to generate a blue-green landscape fragmentation type spatial distribution diagram; acquiring ground surface heat island intensity data of the research area in different time periods, and performing spatial matching with the blue-green landscape fragmentation type spatial distribution diagram; and constructing a comprehensive evaluation model. According to the method, the defects that a traditional landscape index result is abstract and is greatly influenced by unit division, and functional forms cannot be distinguished are overcome, and an intuitive and operable space map basis is provided for thermal environment regulation and control.

This invention discloses an artificial intelligence-based method and system for visualizing urban planning, belonging to the field of data processing technology. The method includes: acquiring multi-source heterogeneous urban basic data and planning schemes to be evaluated; constructing a heterogeneous attribute spatial map through temporal denoising and feature matching; using the planning scheme as a priori excitation condition, inputting it along with the map into a multi-layer spatiotemporal perception graph neural network model with topology preservation loss, and outputting a spatiotemporal evolution prediction matrix tensor; constructing an adaptive weighted grid evaluation model based on multi-dimensional constraints such as perspective, predicted polarization gradient, and hardware load, and combining it with PID closed-loop monitoring of dynamic threshold, to reconstruct a high-efficiency urban visualization 3D chassis model with weighted allocation in real time. This invention effectively solves the problems of false connectivity distortion in traditional topology prediction and computational power collapse caused by rigid LOD distance pruning, achieving deep collaboration between highly realistic situational evolution and adaptive computational power.

This invention discloses an AI-interactive AR (Augmented Reality) cultural wall system for cultural tourism, belonging to the field of AR system technology. The surface of the cultural wall is equipped with a pre-embedded feature set, including visual markers, differentiated texture features, 3D depth variation areas, and specifically designed interactive hotspots. These features provide the system with stable visual benchmarks, semantic distinction criteria, depth cues, and precise positioning anchors. The system includes: a feature point acquisition module, used to collect the feature set on the cultural wall through a multimodal feature extraction algorithm to construct a 3D spatial map with semantic annotations; a user positioning and pose estimation module; an AI content generation engine; and a spatial adaptation and rendering module. Through the cultural wall feature set and the multi-module collaborative system, precise spatial integration of virtual content and the physical wall surface is achieved, along with intelligent dynamic content generation based on user behavior, effectively enhancing the immersion, interactivity, and personalization of the AR cultural experience.

The embodiment of the invention relates to equipment, a method, a device and a medium related to spatial map layering. In one aspect, a first device sends a request message associated with a subscription to a spatial map to a second device, where the request message includes first hierarchical information indicating at least one layer of the spatial map. The first device receives a response message from the second device, the response message including a layer list associated with the subscription to the spatial map and second hierarchical information for the layer list. A layer list associated with the subscription is determined based on at least one layer indicated by the first layer information. By implementing the embodiments of the present disclosure, a hierarchical structure for a spatial map is introduced, thereby enabling more dynamic and flexible representation and management of a virtual environment.

This application discloses an AOI matching method based on spatial context awareness and adaptive multimodal feature fusion, comprising: extracting geometric and textual features from AOIs from two different map platforms; constructing a heterogeneous spatial map; using a heterogeneous graph Transformer model to perform context aggregation and feature updates on the heterogeneous spatial map to obtain the spatial context embedding features of the AOI; constructing a global spatial context vector of the AOI, and obtaining multimodal refined features through a GRU gating fusion mechanism; fusing the multimodal refined features through an intra-source attention mechanism to obtain intra-source embedding features, and performing bidirectional cross-attention calculation through a cross-source attention mechanism to obtain the inter-source embedding features of each of the two map platforms; and determining the AOI matching probability based on the inter-source embedding features and the spatial embedding vectors of candidate AOI pairs. This method solves the problem of poor AOI matching performance under special data such as missing names and coarse contours, and in complex heterogeneous scenarios, thereby improving the matching accuracy of AOIs.

The invention relates to the technical field of bioinformatics and deep learning, and discloses a space gene expression enhancement method based on multi-modal deep learning. According to the method, a three-branch feature extraction module is constructed, a target point scale branch module extracts local detail features, a neighborhood branch module strengthens the representation capability of a spatial context, and a global branch module provides macroscopic organization structure information, so that the problem of insufficient information under a single view angle is effectively solved through combination of the three branch feature extraction modules; on this basis, a linear Transform encoder is introduced to perform efficient modeling on different scale features, and deep information fusion is performed through a multi-head cross attention mechanism, so that the model can accurately capture spatial correlation between different regions; and a high-resolution interpolation strategy is introduced in a data construction level, so that the continuity and the fine-grained expression capability of the spatial atlas are remarkably improved.

This invention relates to the field of forestry resource monitoring technology, and discloses a dynamic monitoring system and method for forestry resources based on remote sensing imagery. The system includes: generating temporal remote sensing reflectance data within the same grid; generating a continuous canopy occupancy map; generating an infill set; determining the intrinsic neck scale; calculating the topological spectrum intensity of the continuous canopy infill; calculating the interlayer decoupling topological index; generating monitoring judgment results; and outputting change patches. This invention constructs an adaptive multi-scale erosion sequence based on the intrinsic neck scale, combines Eulerian features to quantify the infill topological fragmentation process, and integrates the degree of infill fragmentation with the stability state of the outer envelope through the interlayer decoupling topological index. This achieves accurate determination of change units and precise spatial patch location, avoiding the omissions or misjudgments of deep forest understory structure changes by traditional techniques, ensuring that the monitoring results accurately reflect the actual mechanisms of dynamic changes in forest resources.

In an augmented reality (AR) experience, virtual content may be rendered at a particular position within a 3D spatial map and overlaid onto a view of the real-world space. There may be scenarios in which the user wants to limit a 3D model to being rendered within a particular subspace of the space defined by the 3D spatial map. Computer-implemented methods are disclosed that include receiving input defining a subspace of a 3D spatial map of a real-world space. A set of 3D models may then be filtered to identify a subset of the 3D models that fit within the subspace defined by the input. AR content including a render of a particular 3D model from the subset and overlaid onto a view of the real-world space in a position within the subspace may be output for display.

Systems, methods, and compositions for generating a spatial map of a distribution of targets of a sample are described. Systems, methods, and devices for generating a spatial map of a distribution of targets of a sample on a substrate are described. A system for mapping targets can include a substrate; and a distribution of functionalized features associated with the substrate, wherein a representative feature of the distribution of functionalized features comprises: one or more functionalized molecules coupled to the representative feature, the one or more molecules including at least: a handshake sequence comprising a reactive portion, a barcode segment serving as a spatial address, and a cleavable linker configured to allow the handshake sequence to be released from the representative feature in response to a stimulus. The system can be used to tag nuclei, cells, and / or other target components of a sample.

The application discloses a kind of national regional geological mapping data organization retrieval method and system, the method includes: user initiates data query request from client;Parsing data query request, obtains search constraint condition;According to the search constraint condition, carry out first-level search in the associated information table of business database, determine all relevant project number, sheet number;According to the search constraint condition, carry out secondary search in the attribute information table of business database, retrieve all the attribute records of relevant sheet under the search condition;According to regional geological mapping data type, the search results are grouped, and the search results of the same type regional geological mapping data are merged into a search result set;Search result is returned to client, and visualized display is carried out in the form of space figure.The application has the advantages that: simple to realize, not only meet the efficiency requirement of data retrieval, but also provide the whole-process tracing ability from project planning to data application.

The invention discloses a tunnel-rail cooperative detection method and system based on multi-source data fusion. The method comprises the following steps: acquiring tunnel three-dimensional point cloud data and track geometric data at the same mileage section; preprocessing the tunnel three-dimensional point cloud data and the track geometric data, and uniformly converting the tunnel three-dimensional point cloud data and the track geometric data into a track plane coordinate system in combination with the space attitude information to obtain a section fusion point cloud; calculating the minimum space distance from each evaluation reference point to the surface of the tunnel structure in the section fusion point cloud, and generating a safety space map continuously distributed along the mileage of the line; and calculating a real-time safety margin according to the safety space map, and outputting a tunnel-rail collaborative evaluation result in combination with the deformation characteristics of the rail and the tunnel. According to the invention, the transformation from discrete detection to integrated perception of the railway tunnel infrastructure and from over-limit alarm to intelligent diagnosis can be realized, and the operation and maintenance efficiency, accuracy and safety are significantly improved.

Disclosed herein is a medical system (100, 200, 400, 600) comprising a subject support (104) with an array of spatially distributed pressure sensors (108). The medical system further comprises a remote spatial mapping system (106, 106') configured for measuring a spatial map (132). The execution of machine executable instructions (130) causes a computational system (120) to: repeatedly (306) acquire the spatial map from the remote spatial mapping system; repeatedly (308) acquire the array of pressure data; generate (302, 310) a subject position model (138) using the repeatedly acquired spatial map and the array of pressure data; repeatedly (312) acquire the array of pressure data (140) from the array of spatially distributed pressure sensors; repeatedly (314) receive the subject position by inputting the array of pressure data into the subject position model; and repeatedly (316) provide the subject position.

Embodiments herein disclose methods for indicating a spatial map employment for a localization service. The method includes sending, by a first entity (102), a subscribe request to subscribe for a spatial map employed event to a second entity (112). The subscribe request may include a map identity, an identity associated with a requestor, and at least one security parameter. The method further includes receiving, by the first entity (102), a success response from the second entity (112) based on the subscribe request. The success response may include a subscription identity.

A method includes receiving, via a phased antenna array of a first wireless base station, signals from one or more signal sources in an environment; determining, via a signal processor based on the signals, a location of each of the one or more signal sources in the environment relative to the phased antenna array; determining a position of the first wireless base station in the environment; transmitting, via the phased antenna array, radar signals into the environment; receiving, via the phased antenna array, reflected signals from the environment; determining, using SAR, information about at least one of a distance and a movement of one or more physical objects in the environment; collecting the information about the at least one of the distance and the movement of the one or more physical objects in the environment from the SAR; and generating a 3D spatial map of the environment using the information.

The utility model discloses an inspection robot high-precision stereoscopic visual perception system which comprises a shell, a data analysis and processing device is installed in the shell, an induction radar, a depth camera and a pan-tilt camera are arranged on the shell, and the relative positions of the induction radar, the depth camera and the pan-tilt camera are kept unchanged. The induction radar and the depth camera are arranged in front of the shell and used for detecting objects in front of the inspection robot and generating images to guide the inspection robot to move, the pan-tilt camera is arranged at the top of the shell and used for collecting reading information of an instrument panel, and the induction radar, the depth camera and the pan-tilt camera are connected with the data analysis and processing device. The sensing radar and the depth camera are used for collecting data for real-time processing and analysis, a three-dimensional space map can be rapidly constructed, the inspection robot can flexibly avoid various obstacles and efficiently and safely shuttle among all devices, and therefore the cloud deck camera is used for collecting reading information of an instrument panel, and the inspection efficiency is improved. And the inspection task is automatically and efficiently completed.

Tools and techniques are described to automate creation of point mapping diagrams between controllers and controlled resources. After receiving a defined space diagram (which may be input using a graphical interface of the controller, or by other means), resource locations and resource wiring requirements (which may be done automatically), a wiring diagram including point mapping between the resources and any necessary controllers is generated. If resources need to be moved, a new wiring diagram and / or point mapping can be regenerated.

The inspection robot with the high-precision environment sensing system comprises a head assembly and a driving device, and the driving device drives the inspection robot to move; the head assembly comprises a shell, a data analyzing and processing device is installed in the shell, a depth camera and a pan-tilt camera are arranged on the shell, the depth camera is arranged right in front of the shell and used for detecting objects in front of the inspection robot and generating images, and the pan-tilt camera is arranged at the top of the shell and used for collecting reading information of an instrument panel. And the depth camera and the holder camera are respectively connected with the data analysis processing device. The depth camera is arranged right in front of the shell, a three-dimensional space map can be rapidly constructed by processing and analyzing data collected by the depth camera in real time, and the inspection robot can flexibly avoid various obstacles and efficiently and safely shuttle among all devices; therefore, reading information of the instrument panel is acquired by using the holder camera, and the inspection task is automatically and efficiently completed.

An ocular surface image optimization method and apparatus, a portable ocular surface imager, and an electronic device, relating to the technical field of multispectral imaging. The method comprises: acquiring a target number of real-time frames, and performing grid division on the real-time frames to obtain target grids on the real-time frames; calculating a preset modulation transfer function in the target grids to obtain sharpness values, and mapping the sharpness values of the target grids corresponding to a single real-time frame to form an image-quality spatial map of a target size; and using a differential fitting algorithm to synthesize the image-quality spatial maps corresponding to the real-time frames into one target image-quality spatial map, generating an optimized image on the basis of the target image-quality spatial map, and sending the optimized image to a portable ocular surface imager for output. By dividing the real-time frames into different grids and calculating the modulation transfer function on a per-grid basis, the calculation speed is increased, and the problem that optimized images cannot be calculated in real time on the basis of multiple frames of images is solved.

Embodiments of the present disclosure relate to devices, methods, apparatuses and medium related to spatial map layering. In an aspect, a first device transmits, to a second device, a request message comprising first layering information indicating at least one layer for a spatial map. The first device receives, from the second device, a response message comprising spatial map information of the spatial map. The spatial map information comprises information of a list of layers of the spatial map and second layering information of the list of layers of the spatial map. The list of layers of the spatial map is determined based on the at least one layer indicated by the first layering information. By implementing the embodiments of the present disclosure, a layered structure for the spatial map is introduced, enabling a more dynamic and flexible representation and management of the virtual environment.

This invention relates to the field of automated welding and discloses a visual perception-based method for collaborative welding path planning that integrates wire feeding guidance and collision avoidance. The invention aims to solve the problem of simultaneously achieving high-precision wire feeding guidance and multi-obstacle avoidance within confined spaces. It establishes a local spatial map containing weld morphology and obstacles through visual perception, and uses laser ranging to assist in correcting deformation characteristics, achieving high-precision reconstruction of the working environment. The relationship between the wire feeding mechanism and the weld position is calibrated, and dynamic compensation is performed using resistance feedback and hose curvature monitoring to ensure stable wire feeding. A spatial decoupling control mechanism is adopted to generate a collaborative strategy for avoiding obstacles and pipelines based on dynamic weights while maintaining the coordinates of the wire feeding contact point. A smooth interpolation mechanism drives the motion, and closed-loop optimization is performed based on the correlation analysis of real-time trajectory and material thermal properties. This achieves precise path planning and collaborative collision avoidance within confined spaces, improving operational accuracy and safety.

The invention relates to the technical field of forestry resource monitoring, and discloses a forestry resource dynamic monitoring system and method based on remote sensing images, and the method comprises the steps: generating same-grid time phase remote sensing reflectivity data; generating a continuous canopy occupancy map; generating an inner hole set; measuring the scale of the intrinsic neck; the continuous canopy inner hole topology spectrum intensity is calculated; calculating an inter-layer decoupling topology index; generating a monitoring judgment result; and outputting the change pattern spots. According to the method, a self-adaptive multi-scale erosion sequence is constructed on the basis of the intrinsic neck scale, the Euler feature is combined to quantify the inner hole topology fragmentation process, the inner hole fragmentation degree and the outer envelope stable state are integrated through the interlayer decoupling topology index, change unit judgment and space pattern spot accurate positioning are achieved, and the method has the advantages of being simple in structure and convenient to operate. And missing detection or misjudgment of the change of the deep structure under the forest in the traditional technology is avoided, so that the monitoring result conforms to the actual mechanism of the dynamic change of forest resources.

A method of generating a spatial map includes obtaining a captured image of a target area in a space; obtaining light detection and ranging (LiDAR) scan data by scanning a depth of the target area relative to the first height; performing object detection on the captured image; and generating a spatial map of the target area based on all LiDAR scan data and the captured image according to the performed object detection.

The present disclosure relates to a method, an electronic device and a storage medium for image target classification and positioning. The method comprises: acquiring an image to be processed; performing feature extraction processing, feature fusion processing and prediction processing on the image to obtain a feature map with a region frame and a category of each target; performing mask discrimination processing on the feature map to obtain a mask of each target in the image; and performing spatial positioning processing on the feature map to obtain an inference result of a space map formed by each target, and correcting the region frame position and the category of each target. The method of the present disclosure can improve the accuracy and speed of image target classification and positioning operations.

Systems, methods, and compositions for generating a spatial map of the distribution of targets in a sample are described. The system for mapping targets may include a substrate and a distribution of functionalized features associated with the substrate, wherein a representative feature of the distribution of functionalized features includes one or more functionalized molecules bound to the representative feature, and the one or more molecules include a handshake sequence comprising at least a reactive moiety, a barcode segment that functions as a spatial address, and a cleavage linker configured to allow the handshake sequence to be released from the representative feature in response to a stimulus. Using this system, nuclei, cells, and / or other target components of a sample can be tagged.