46 results about "Smart spaces" patented technology

The invention provides a smart space multi-screen collaborative interaction method based on micro-service architecture and edge computing, and relates to the technical field of smart screens, comprising: determining a master-slave terminal relationship based on a terminal type and a resource state by receiving a screen interaction request of a smart space terminal; a data distribution center is constructed by adopting a distributed message queue, and directional pushing based on a message theme is realized; and deploying a lightweight task execution container at the slave terminal to finish screen content rendering, and dynamically updating the terminal mapping relationship. According to the method, real-time collaborative interaction among multiple terminals can be realized, the screen content rendering efficiency is improved, the fluency of interaction experience is ensured, dynamic joining and quitting of the terminals are supported, and the expansibility is relatively high.

The invention provides an intelligent space sensing dynamic topology optimization method and system based on electromagnetic detection, and the method comprises the steps: firstly obtaining an electromagnetic detection data set composed of electromagnetic signal intensity and propagation delay information of different position nodes in an intelligent space, and then carrying out the sensing equipment state analysis of the electromagnetic detection data set; the method comprises the steps of obtaining a state feature set containing equipment connection stability and signal coverage range features, generating a dynamic topology optimization strategy containing an equipment connection relation adjustment rule and a signal coverage area distribution scheme according to the state feature set, and adjusting a sensor network topology structure according to the dynamic topology optimization strategy. And finally, performing optimization effect evaluation on the adjusted sensor network topological structure, and feeding back an evaluation result to trigger strategy updating, thereby dynamically optimizing the sensor network topological structure and improving the stability and reliability of the intelligent space sensor network.

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. Name of the Design Product: Graphical User Interface of the Building Low-Carbon Energy Management Platform for Electronic Devices. 2. Use of the Design Product: For an electronic device. 3. Design Key Points of the Design Product: Lie in the graphical user interface. 4. Picture or Photo Best Showing the Design Key Points: Front View. 5. The electronic device is of conventional design, and other views of the electronic device are omitted. 6. Use of the Graphical User Interface: For running the building low-carbon energy management platform program. 7. Human-Computer Interaction Method of the Graphical User Interface: Click "Login" in the front view to jump to Interface Change State Diagram 1; click "Efficient Machine Room" in Interface Change State Diagram 1 to jump to Interface Change State Diagram 2; click "Smart Air Compressor Station" in Interface Change State Diagram 2 to jump to Interface Change State Diagram 3; click "Smart Environment" in Interface Change State Diagram 3 to jump to Interface Change State Diagram 4; click "Indoor Environment Monitoring" in Interface Change State Diagram 4 to jump to Interface Change State Diagram 5; click "Building Integration" in Interface Change State Diagram 5 to jump to Interface Change State Diagram 6; click "Smart Space" in Interface Change State Diagram 6 to jump to Interface Change State Diagram 7; click "Elevator Monitoring" in Interface Change State Diagram 7 to jump to Interface Change State Diagram 8; click "Array Mode" in Interface Change State Diagram 8 to jump to Interface Change State Diagram 9; click "Timing Management" in Interface Change State Diagram 9 to jump to Interface Change State Diagram 10; click "Year" in Interface Change State Diagram 10 to jump to Interface Change State Diagram 11; click "Mode Management" in Interface Change State Diagram 11 to jump to Interface Change State Diagram 12.

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 embodiment of the invention provides an equipment management method based on distributed storage in an intelligent space and related equipment, and relates to the technical field of artificial intelligence. The intelligent space comprises a plurality of first intelligent devices, at least part of the first intelligent devices provide storage resources for the distributed storage system, and the method comprises the steps that if the space state of the intelligent space changes, an intelligent device management program in the distributed storage system is triggered and executed, updating the interaction information of each first intelligent device, and obtaining the updated interaction information of each first intelligent device; and updating the ontology knowledge base of the intelligent space according to the updated interaction information of each first intelligent device. According to the method, the ontology knowledge base is automatically updated by automatically triggering and executing the intelligent equipment management program, the load of the central server can be reduced, and the overall efficiency of the intelligent space is 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.

1. Name of the Design Product: Monitor (SenseCAP Smart Space Sensing Assistant). 2. Use of the Design Product: This design product is used to monitor a specified space, capture image scenes within the specified space, and record audio information. 3. Design Key Points of the Design Product: Lies in the overall shape of the product. 4. Picture or Photograph that Best Illustrates the Design Key Points: Perspective View 1.

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.

An intelligent space solution based on agent and multimodal understanding, with a large language model as the core of the intelligent agent, combined with the multimodal large model to perform comprehensive analysis on images and texts, wherein the large language model and the multimodal large model can be directly used as open source or fine-tuned for spatial scenes. The invention distributes user instructions to corresponding functional modules through the large language model agent, and completes complex tasks in combination with the multimodal large model, which significantly improves the efficiency, accuracy and flexibility of task processing, supports multi-functional collaboration such as spatial scene understanding, target distance estimation, item statistics, behavior recognition, etc., and meets the application needs of multiple scenes.

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.

This disclosure relates generally to system and method for ambient intelligence based user interaction. Prior methods for touchless user interaction are sensitive to ambient temperature in a lab environment, susceptible to noise from metallic surfaces and ambient radio waves and are dependent on ambient lighting. Embodiments of the present disclosure provides a multi-modal sensor fusion method which captures touchless gestures from a user or a group of users with their physical context information fused and tagged to these gestures for user interaction. Further pose graphs are generated for user interaction systems using a data association technique and Gaussian mixture model technique. The disclosed method provides a hands-free interface to operate instruments in a smart space, using principles of ambient intelligence.

The invention relates to a knowledge-based intelligent space system automatic application conflict detection method and device. The method comprises the following steps: mapping key elements of an automation application to an ECA control network, wherein the key elements comprise events, conditions and behaviors; semantic information of an ECA control network is supplemented through a knowledge graph, the semantic information comprises dependency and mutual exclusion relations between services of equipment and influences of the services of the equipment on a physical environment, and an automatic application network is formed; and performing search matching on the automatic application network based on the defined conflict mode, and detecting conflicts existing between the automatic applications in combination with semantic information. According to the method, the defects of effectiveness and practicability of an automatic application conflict detection method of an existing intelligent space system are overcome, an efficient and practical automatic application conflict detection scheme based on graph pattern matching is achieved, and the conflict problem between automatic applications can be detected more accurately and efficiently.

1. Name of this design product: Electronic house number plate (10.1-inch side-mounted 8-character model). 2. Application of this design product: It can be used in smart space scenarios such as offices, conference rooms, dining rooms, clinics, and classrooms to realize information display, space reservation, space management, and personnel movement. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

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.

A distributed storage-based device management method in an intelligent space and a related device, relating to the technical field of artificial intelligence. The intelligent space comprises a plurality of first intelligent devices, and at least some of the plurality of first intelligent devices provide storage resources for a distributed storage system. The method comprises: if the spatial state of an intelligent space changes, triggering to execute an intelligent device management program in a distributed storage system, updating interaction information of each first intelligent device, and obtaining the updated interaction information of each first intelligent device; and updating an ontological knowledge base of the intelligent space on the basis of the updated interaction information of each first intelligent device.

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.

1. The name of the product of this design: Physiotherapy device (AI intelligent digital internal heating). 2. Purpose of the product of this design: intelligent space for health care, physical therapy, health preservation and rehabilitation. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

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.

The invention relates to the technical field of intelligent control, in particular to an internet of things ecological intelligent space management system based on an open standard, which comprises a sensing module, a data preprocessing module, a data analysis module, a rule engine module, an optimization algorithm module and a control module, wherein the sensing module is used for collecting environmental data in a smart space; the data preprocessing module is used for carrying out data preprocessing on the environment data; the data analysis module is used for identifying an environment change rule and a potential abnormal condition; the rule engine module is used for generating rule constraint conditions; and the optimization algorithm module is used for generating a space management strategy. According to the invention, by integrating the Internet of Things technology and the optimization algorithm, intelligent acquisition, analysis and dynamic adjustment of the environmental data in the smart space are realized, the energy efficiency, the comfort level and the resource utilization efficiency are optimized, the automation level of space management is significantly improved, the energy consumption is reduced, and the user experience is improved.