27 results about "Smart spaces" patented technology

The invention provides a digital person display method and system based on an intelligent VR space, and relates to the technical field of three-dimensional models.The method comprises the steps that multi-dimensional feature extraction is conducted on an original person video, and a dynamic feature data set is obtained; joint point cloud construction and registration are carried out based on the dynamic feature data set, and a space-time consistency skeleton model is obtained; performing surface mask generation on the video frame of the original character video through the space-time consistency skeleton model to obtain a dynamic human body grid with a separated background; and carrying out physical illumination fusion on the dynamic human body grid and the VR environment parameters to obtain a digital human VR entity model. According to the method, dynamic feature data set construction, joint point cloud registration, parameterized human body grid generation and physical illumination fusion are combined, high-fidelity digital human migration from a common video to a VR space is achieved, the key problems of motion distortion, rendering penetration and the like are solved, the motion track error is reduced, and the human body contour segmentation precision is improved.

1.The name of the design product: electronic doorplate (15.6 inches-8 character side out). 2.The use of the design product: used in office, conference room, dining room, clinic, classroom and other smart space scenes to realize information display, space reservation, space management and personnel whereabouts and other functions. 3.The design points of the design product: in shape. 4.The picture or photo that best indicates the design points: front view.

The invention discloses a multi-device dynamic linkage control method and system in a smart space, belongs to the technical field of smart space device collaborative management and control, and aims to solve the problems of strategy lag, unsmooth cross-device service connection and low resource utilization rate caused by the fact that traditional device management and control depend on real-time data. The method comprises the following steps: in a smart space, collecting user operation data to construct a user equipment behavior time sequence database, dividing user roles and equipment function attributes, establishing an operable equipment list, screening associated sub-lists, and constructing an equipment linkage network; quantizing user behavior characteristics through a sliding window, and generating a behavior probability from a source device to a target device in the linkage network as an edge weight; identifying to-be-evaluated equipment, aggregating edge weights in a preset period to generate a potential operation data set, matching a bearer accommodation strategy, constructing a user transfer sequence, and generating an equipment pre-control instruction; according to the invention, equipment resource dynamic allocation and cross-equipment service seamless connection are realized, and the resource utilization rate and the user operation experience are improved.

The invention provides an intelligent space management method, apparatus and device, and a computer program product, and relates to the technical field of computers and Internet. A data acquisition and processing agent, a task planning agent, a task execution agent, an adaptive learning agent and a central server are deployed in the intelligent space, the task planning agent comprises a first task planning agent, and the data acquisition and processing agent is responsible for data collection of a specified space in the intelligent space; the method comprises the steps that a first task planning agent receives a global model from a central server; receiving local real-time data from one or more data acquisition and processing agents; processing local real-time data based on the global model to generate a task plan; and issuing the task plan to one or more task execution agents, so that the one or more task execution agents execute the task plan.

The application provides a digital human display method and system based on intelligent VR space, and relates to the technical field of three-dimensional models.The method comprises the following steps: performing multi-dimensional feature extraction on an original character video to obtain a dynamic feature dataset; performing joint node cloud construction and registration based on the dynamic feature dataset to obtain a space-time consistency skeleton model; generating a surface mask for video frames of the original character video through the space-time consistency skeleton model to obtain a dynamic human body grid separated from a background; and performing physical light fusion on the dynamic human body grid and VR environment parameters to obtain a digital human VR entity model.The method combines dynamic feature dataset construction, joint node cloud registration, parameterized human body grid generation and physical light fusion, realizes high-fidelity digital human migration from an ordinary video to a VR space, solves key problems such as motion distortion and rendering mistakes, reduces motion trajectory errors and improves human body contour segmentation accuracy.

The application provides an extensible smart community knowledge graph construction method and system, relating to the technical field of artificial intelligence, the method comprising: preprocessing multi-modal sensing data collected by multiple spatial regions in a smart community; constructing a spatial topology graph with spatial regions as nodes and physical adjacency relationships as edges according to multiple spatial regions and their physical adjacency relationships in the smart community; processing the preprocessed multi-modal sensing data to generate fusion features representing dynamic events in the region, and taking the fusion features as the attributes of the corresponding nodes in the spatial topology graph to construct a fusion graph for the knowledge graph, the method uses the spatial topology structure to enhance the correlation of multi-modal data, improve the interpretability and reasoning ability of the data, and thus significantly improve the understanding and response ability of the intelligent space to complex interaction tasks.

Aspects presented herein may enable a user equipment (UE) to maintain an optimized priority list of global navigation satellite system (GNSS) signals / channels to achieve a best GNSS positioning performance with limited resources in real-time. In one aspect, a UE identifies a maximum number of GNSS signals to be used by the UE for GNSS positioning. The UE prioritizes a set of available GNSS signals for the GNSS positioning based on one or more conditions. The UE selects the maximum number of GNSS signals to be used for the GNSS positioning from the prioritized set of GNSS signals. In some implementations, the UE may detect that a number of available GNSS signals exceeds the maximum number of GNSS signals to be used by the UE for the GNSS positioning, where the prioritization of the set of GNSS signals is based on the detection.

The application discloses a kind of wisdom space equipment data transmission bus arrangement method and equipment, it is related to wisdom space wireless communication technical field, including setting target function calculation equipment position, wisdom space is divided into three-dimensional grid, for each grid allocation index, equipment coordinate is mapped to grid index, calculate grid occupancy probability, generate path occupancy flag;Directly calculate the number of sound window samples and reverberation window samples, divide direct sound energy by reverberation sound energy, calculate linear DRR, calculate the mean square vibration energy of equipment, combine path occupancy probability and average vibration energy, calculate vibration coupling energy, based on received signal strength, convert into linear power and linear signal-to-noise ratio.The application improves the accuracy of effective bandwidth estimation by fast fourier transform combined with power delay spectrum calculation, and improves the rationality of link screening by path occupancy probability combined with DRR utilization factor.

The invention discloses a multi-agent-based classroom teaching scheme evaluation method and system, and relates to the technical field of intelligent education, the system comprises a management center, and the management center is connected with an agent construction module, a basic processing module, a training analysis module and a collaborative evaluation module; collecting a classroom teaching scheme and constructing a comprehensive intelligent space; carrying out butt-joint teaching in the comprehensive intelligent space and collecting teaching comprehensive data; performing teacher self-evaluation on the comprehensive teaching data to obtain a self-evaluation score, and performing external evaluation through the self-evaluation score based on the comprehensive intelligent space to obtain a comprehensive score value; performing curve graph conversion according to the comprehensive score value to obtain a score dynamic curve graph, performing quality evaluation on the score dynamic curve graph to obtain an evaluation result, and performing simulation upgrading in the comprehensive intelligent space according to the evaluation result to obtain a personalized upgrading teaching plan; real-time feedback and adjustment are realized, the teaching effect and the evaluation efficiency are improved, and personalized learning is promoted.

The invention provides a method for solving service conflicts of the Internet of Things, and relates to the technical field of the Internet of Things. Processing the historical preference data of the user by adopting a game theory, and then processing the real-time preference demand of the user by adopting an analytic hierarchy process; and calculating a service preference final value, feeding the final value back to the Internet of Things service in the intelligent space environment, and adjusting own service setting by the service equipment according to the final value. The method has high dynamic adaptability, scene mutation can be dealt with, if a user changes in an intelligent space environment, a body state attribute comparison matrix can be reconstructed, and therefore the weight of each body state attribute can be dynamically adjusted.

The invention provides an extensible smart community knowledge graph construction method and system, and relates to the technical field of artificial intelligence, and the method comprises the steps: carrying out the preprocessing of multi-modal perception data collected by a plurality of space regions in a smart community; according to a plurality of space areas preset in the smart community and physical adjacency relations thereof, constructing a space topological graph taking the space areas as nodes and the physical adjacency relations as edges; according to the method, the preprocessed multi-modal sensing data is processed to generate fusion features representing dynamic events in an area, the fusion features serve as attributes of corresponding nodes in a spatial topological graph, and a fusion graph forming a knowledge graph is constructed. According to the method, the relevance of the multi-modal data is enhanced through the spatial topological structure; and the interpretability and reasonability of the data are improved, so that the understanding and response capabilities of the intelligent space to complex interaction tasks are remarkably improved.

The invention discloses a smart space device data transmission bus arrangement method and device, and relates to the technical field of smart space wireless communication, and the method comprises the steps: setting a target function, calculating the position of a device, dividing a smart space into three-dimensional grids, distributing an index for each grid, mapping a device coordinate to a grid index, and calculating the grid occupation probability. Generating a path occupation mark; the method comprises the following steps: respectively calculating a direct sound window sample number and a reverberation window sample number, dividing direct sound energy by reverberation sound energy, calculating a linear DRR, calculating mean square vibration energy of equipment, combining a path occupancy probability and average vibration energy, calculating vibration coupling energy, and converting into linear power and a linear signal-to-noise ratio based on received signal strength. According to the method, through combination of fast Fourier transform and power delay spectrum calculation, the accuracy of effective bandwidth estimation is improved, and through combination of the path occupancy probability and the DRR utilization factor, the rationality of link screening is improved.

1. Name of the product in this design: Virtual Reality Experience Device (Weistda Smart Space). 2. Purpose of this design: A device for experiencing virtual reality software content. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention discloses a satellite-ground cooperative intelligent remote sensing calculation method and system based on generalized dynamic guidance, and relates to the technical field of space information technology, artificial intelligence and edge calculation crossing. According to the method, generalized dynamic guidance information including an intelligent space mask, a task adaptive prompt vector and a collaborative reasoning instruction is formed through a ground guidance center; the satellite-borne processing unit realizes self-adaptive focusing processing by adopting local focusing calculation and a conditional premature exit mechanism according to the guide information and in combination with a real-time resource state; and meanwhile, a space-ground closed-loop optimization system is constructed, and a guide strategy is continuously optimized through result feedback. According to the method, the mode conversion from full-image processing to focusing calculation is realized, the on-satellite processing efficiency is remarkably improved, the calculation amount is reduced by 70-90% while the precision is ensured, the satellite-ground communication data volume is reduced by more than 95%, the problems of on-satellite resource limitation and data transmission bandwidth bottleneck are effectively solved, and the method is suitable for large-scale popularization and application. The method has important value in remote sensing application scenes such as disaster emergency and environment monitoring.

Aspects presented herein may enable a user equipment (UE) to maintain an optimized priority list of global navigation satellite system (GNSS) signals / channels to achieve a best GNSS positioning performance with limited resources in real-time. In one aspect, a UE identifies a maximum number of GNSS signals to be used by the UE for GNSS positioning. The UE prioritizes a set of available GNSS signals for the GNSS positioning based on one or more conditions. The UE selects the maximum number of GNSS signals to be used for the GNSS positioning from the prioritized set of GNSS signals. In some implementations, the UE may detect that a number of available GNSS signals exceeds the maximum number of GNSS signals to be used by the UE for the GNSS positioning, where the prioritization of the set of GNSS signals is based on the detection.

The invention discloses a digital experience space operation management method and system, and relates to the technical field of intelligent space management, and the method comprises the steps: collecting environment data, carrying out the preprocessing, constructing a CNN model, and carrying out the space recognition of the environment data; multi-target environment cooperative control based on particle swarm optimization and optimization effect evaluation and adjustment based on multi-dimensional data; and constructing a visual page to display an evaluation optimization result, and storing, collecting and analyzing the generated environmental data. According to the method, refined recognition of the experience space environment state is achieved through the CNN model, dynamic self-adaption and global optimality of environment regulation are achieved through the particle swarm optimization algorithm, and the experience space environment state is recognized through combination of the CNN model and the particle swarm optimization algorithm. And the environment management precision of the experience space and the intelligent degree of the system are obviously improved.

The invention discloses a modularized square cabin system capable of being moved and assembled. The system adopts a split type modular design and mainly comprises a shelter body, a shelter machine room and a shelter shell which are independent in function. The square cabin body provides a private space for a user to rest, work and surf the internet; the shelter machine room is used for intensively accommodating and providing auxiliary facilities such as power supply equipment, a computer host and an air conditioner outdoor unit required by the operation of the whole system; the shelter shell provides visual modeling and waterproof protection for the shelter. The three modules can be quickly assembled and separated, and are convenient to transport and flexibly deploy in different places (such as families, markets, tea houses, open-air squares and the like). Equipment generating noise and heat is isolated from the independent machine room module, the use comfort of the interior of the cabin is effectively improved, meanwhile, the adaptability, mobility and expandability of a product are greatly enhanced through the modular design, and a plug-and-play, quiet and comfortable mobile intelligent space solution is provided for users.

The invention discloses a smart space-oriented camera inspection planning method, and relates to the technical field of inspection planning, and the method comprises the steps: obtaining historical inspection data, constructing a spatial association topology containing spatial adjacency, abnormal co-occurrence and activity association relationships, mining regional association weights through a graph neural network, and combining historical abnormal distribution features to obtain a spatial association topology; calculating a camera space value index, and finishing inspection area grading based on a statistical confidence interval; constructing a regional risk assessment model, embedding a regional hierarchical constraint factor, outputting a predicted risk value, dynamically adjusting the routing inspection priority, and triggering an emergency queue jumping mechanism; the risk coverage efficiency, the computing power load balance degree and the inspection response time delay are taken as targets, the inspection polling interval, the staying duration and the cooperation strategy are jointly optimized, and an inspection scheme is generated by adopting dual-mode updating; through edge node local parameter adaptive updating and federated learning aggregation, continuous self-optimization under model privacy protection is realized, and inspection accuracy and adaptability are improved.

Interactive experiences are generated using an augmented reality (AR) system that leverages the native input and output capabilities of AR devices to generate immersive and interactive experiences in smart spaces that combine visually-represented programming logic, AR content, and IoT devices. The system connects IoT devices with each other in a native AR environment, provides virtual content and logic gates, scripts sequences and loops of actions, solves visibility issues for IoT devices that are far apart, and designs logic gates and flow circuits that best support user intentions when generating interactive experiences in smart spaces. The interactive experience is produced by generating a program of behaviors of selected IoT devices using logic gates and control circuits connected to the IoT devices in a visual programming interface of the AR device. Once completed, the program of behaviors is executed by a runtime module to control the IoT devices during the interactive experience.

A smart space system includes: a cabin, including: a bottom surface; and a first screen, located on a side wall of the cabin and connected to the bottom surface; an interactive human-machine interface, including: a display system, having an imaging device, wherein the imaging device is configured to project multiple multimedia images onto the first screen; and a controller, signal-connected to the interactive human-machine interface to issue a control command to the interactive human-machine interface, so that the multimedia images are connected to form a first continuous image, so that images of the first continuous image appear coherent on the first screen.

The application discloses a multi-device dynamic linkage control method and system in a smart space, and belongs to the technical field of smart space device collaborative management and control, and aims to solve the problems of strategy lagging, poor cross-device service connection and low resource utilization rate caused by traditional device management and control relying on real-time data; the method comprises the following steps: in the smart space, collecting user operation data to construct a user device behavior time sequence database, dividing user roles and device function attributes, establishing an operable device list and screening an associated sub-list, and constructing a device linkage network; quantifying user behavior characteristics through a sliding window to generate behavior probability from a source device to a target device in the linkage network as an edge weight; identifying a device to be evaluated, aggregating edge weights to generate a potential operation data set within a preset period, matching a bearing accommodation strategy, constructing a user transfer sequence, and generating a device pre-control instruction; the application realizes dynamic allocation of device resources and seamless connection of cross-device services, and improves resource utilization rate and user operation experience.

This invention relates to the field of smart space operation and maintenance technology, and discloses a smart space operation and maintenance optimization method and device based on data elements. The method includes: collecting operational data from IoT terminals, edge nodes, and a cloud platform within the smart space, and fusing the operational data to obtain fused data; identifying and encrypting sensitive information in the fused data to obtain encrypted data; inputting the encrypted data into the local models of each edge node to extract device operational features, and integrating the device operational feature set in a cloud aggregation server; identifying anomalies based on the device operational feature set to obtain device abnormal status information; and conducting anomaly cause tracing analysis based on the device abnormal status information to obtain a smart space abnormal situation report. This invention provides operation and maintenance personnel with an interpretable anomaly analysis path and a comprehensive situational awareness report, significantly improving fault handling efficiency and realizing intelligent operation and maintenance management of smart spaces.

The application relates to the technical field of intelligent space layout generation, and discloses an indoor layout generation method and system based on double-track constraints, wherein the method comprises the following steps: acquiring indoor space structure data; constructing a current layout state and a candidate action set; scoring the candidate action based on a conditional scoring model; generating a score sequence after hard constraint modulation; calculating soft constraint energy; generating a candidate action probability distribution; and performing a step-by-step indoor layout generation task. Compared with the prior art which mainly relies on a single scoring model for layout generation, especially in a complex indoor scene with clear space non-placing areas and traffic constraints, it is difficult to guarantee layout legality and generation diversity at the same time. Due to the double-track constraint mechanism of hard constraint Boolean gate modulation and soft constraint energy hierarchical accumulation, the application realizes the probabilistic modeling of the prior legality screening and subsequent rationality differentiation of the candidate layout action, and improves the overall indoor layout generation quality.

Systems, methods, and devices disclosed herein are related to smart spatial anchors. A wireless transmit / receive unit (WTRU) may include a processor. The WTRU may receive a first message from a network node. The first message may indicate a request to identify an instance of an object. The WTRU may obtain a model associated with the object. The WTRU may identify the instance of the object in a video frame by applying the model to the video frame. The WTRU may send a second message to the network node when the instance of the object has been identified. The WTRU may receive a third message from the network node. The third message may indicate virtual content associated with the object. The WTRU may modify the video frame by overlaying the virtual content onto the video frame. The WTRU may display the modified video frame to a user.

The invention discloses an OPeNDAP-based offshore wind power cloud platform intelligent spatial data service system and method, and relates to the technical field of offshore wind power data services, and the system comprises a data storage module, an OPeNDAP service module and an interactive access module. The data storage module is used for storing grid data related to offshore wind power, and the grid data comprises mode forecast grid data and offshore wind power space correlation data; and the OPeNDAP service module is electrically connected with the data storage module. According to the offshore wind power cloud platform intelligent spatial data service system and method provided by the invention, online analysis and visual display of massive grid data are realized through integration of an OPeNDAP protocol, and the massive grid data can be directly viewed without being downloaded to the local, so that the data acquisition period is greatly shortened, the timeliness of data application is improved, subset extraction of the data is supported, and the data acquisition efficiency is improved. A user selects data in a specific space range, a time interval or a variable dimension according to needs, and the flexibility of data service is enhanced.

The application discloses a kind of star-ground collaborative intelligent remote sensing computing method and system based on generalized dynamic guidance, it is related to spatial information technology, artificial intelligence and edge computing cross technical field.The method is through ground guidance center to contain intelligent space mask, task self-adapting prompt vector and collaborative reasoning instruction generalized dynamic guidance information;Satellite-borne processing unit is combined with real-time resource state according to guidance information, and using local focusing calculation and conditional early retirement mechanism realizes self-adapting focusing processing;While constructing the closed loop optimization system of heaven and earth, continuously optimizes guiding strategy by result feedback.The application realizes the mode change from full image processing to focusing calculation, significantly improves the on-board processing efficiency, reduces the amount of calculation by 70-90% while ensuring accuracy, reduces star-ground communication data volume by more than 95%, effectively solves the problem of limited on-board resources and data transmission bandwidth bottleneck, and has important value in remote sensing application scenarios such as disaster emergency and environmental monitoring.