1170 results about "Roomba" patented technology

A system and method for real-time, identity-free personalization using deformable emotional trait vectors to dynamically adapt digital and voice-based experiences. Each user session is modeled as a behavioral object known as a Vectra, composed of fluidic traits—such as mass, viscosity, temperature, volatility, and texture—that evolve continuously in response to live behavioral, contextual, environmental, and voice-derived signals. These Vectras traverse a dynamically warped emotional space, the Vectraverse, influenced by ambient conditions including time of day, noise level, inventory urgency, and engagement rhythm. Gravitational pull toward predefined emotional goal attractors modulates system behavior, while a goal mutation engine reclassifies session intent when confidence decays or friction spikes. Outputs include tone modulation, content pacing, offer framing, and gamified reward logic—all executed without storing identity, login credentials, or historical profiles. The system supports modular deployment across voice, screen, signage, mobile, and in-room environments, and integrates with large language models, AI agents, and third-party personalization stacks via privacy-safe APIs and federated learning. Designed for zero-ID personalization, the platform enables emotionally intelligent, context-aware engagement across any surface or session.

Example implementations are directed to recapturing or realigning a room or scene in an artificial reality (XR) environment as a three dimensional (3D) space. To initially capture a room, a user manually annotates, using an XR system, one or more walls around the XR system. The XR system then aligns or localizes itself relative to the room. Once a room is captured and stored, and the user in the future enters the room again, the XR system may not be able to align itself in the room due to, for example, lighting conditions. Rather than require the user to manually recapture every wall captured during the initial room capture, the XR system can select one wall for recapture and, after receiving an annotation or marking of the one wall from the user, use the selection to realign the XR system relative to the room.

The invention relates to an intelligent regulation and control method for a fan coil of a central air conditioner, relates to an internet of things technology, and aims to solve the problems that multi-source environment parameter data is large in noise, working condition modeling is inaccurate, and equipment regulation response and energy consumption optimization are not coordinated. A regulation and control system integrating multi-parameter distributed sensing, data preprocessing, feature extraction and cross-domain knowledge migration is provided. A high-quality structured data set is formed through multi-dimensional real-time acquisition of room temperature and humidity, fan current, valve opening, human traffic, external weather and building information and in combination with denoising, normalization, alignment and missing completion. And a multi-target neural network and digital twinborn simulation are utilized to realize load trend prediction, equipment abnormity early warning and virtual deduction of an adjustment strategy, an optimal adjustment time sequence window and an activation threshold are output, and dynamic adaptive control is realized in combination with reinforcement learning.

The invention discloses an intelligent temperature control energy-saving system and method based on personnel position detection and prediction. The system monitors indoor personnel distribution and temperature and humidity in real time through the human body and environment sensing module; the behavior prediction module utilizes an LSTM deep learning model to analyze the historical moving track of the user and predict the next target room and the arrival time of the user in combination with the environment context; the environment regulation and control module starts equipment such as an air conditioner in the target room in advance to adjust to a comfortable state; and the energy efficiency optimization module is used for implementing energy-saving control on the unmanned room. According to the method, the crossing from passive reaction to active prediction is realized, and the energy utilization efficiency of the home environment is remarkably improved on the premise of ensuring the comfort.

Methods and apparatus for spatial annotation of design plans in an AI-powered collaborative environment. It includes a controller to receive a static representation of a building's design plan and an AI engine to analyze raster images to identify design elements such as architectural aspects, walls, and rooms. An interactive user interface generates polygons and lines representing these elements, allowing users to select elements for annotation. The apparatus determines positional coordinates of selected elements, links annotations to these coordinates, and updates the interface in real-time for multiple users. Additional features include automated annotation suggestions, user interaction options like commenting and approval, and learning from user interactions to enhance future annotations. The apparatus can detect physical changes in design elements using cameras and update the interface accordingly. It supports dynamic collaboration and enhances the accuracy and efficiency of design plan annotations.

The invention discloses a building energy consumption management method and system based on a BIM building, and relates to the technical field of energy consumption management. In the system operation, energy consumption and environment data are continuously collected and cleaned facing the whole building partition, a building IoT, a BMS system and a BIM model are fused, cleaning, alignment and standardization processing are carried out, and the energy consumption management efficiency is improved. Building components, rooms and equipment in the BIM model are mapped to real-time data, a'building-floor-area-room-equipment 'hierarchical tree model is established, rolling prediction is performed on future energy consumption demands of each area based on dynamic factors of personnel density, equipment use and external climate, feed-forward control information is provided, and a prediction result and real-time feedback are combined to realize real-time prediction of energy consumption demands of each area. The method comprises the steps of generating a partition-level energy consumption control strategy, issuing a strategy instruction to a BMS system, providing safety protection and linkage control, monitoring energy efficiency and comfort in real time, detecting energy consumption abnormity, continuously optimizing parameters through strategy evaluation and self-learning, and forming long-term closed-loop improvement.

The application discloses a room semantic segmentation method, which comprises the following steps: S1, acquiring a topographic map of a house, detecting door features on the topographic map, and generating a setting area based on the detection positions corresponding to the detected door features; S2, segmenting the setting area to segment out doors from the setting area, and then verifying the segmented doors to determine the shapes and positions of the doors; and S3, based on the shapes and positions of the doors, performing semantic classification on the topographic map, and then generating a topographic map after the semantic classification. The room semantic information of a grid image is recognized and segmented in a deep learning manner, the understanding of a scene semantic by a robot is improved, and different cleaning strategies or other work can be used for different rooms.

In various embodiments, a room-based design application automatically generates a design for a floor structure of a building. In operation, the room-based design application generates blocks representing portions of the floor structure that are delineated by walls based on a room plan included in a computer-aided design of the building. The room-based design application modifies the blocks based on a spanning length to generate partitions. Each partition represents a different portion of the floor structure that can be spanned by a structural element that has the spanning length in at least one direction. Based on the partitions, the room-based design application determines wall classifications for the walls. The room-based design application generates at least a portion of the design for the floor structure based on the wall classifications and the partitions.

The embodiment of the invention discloses an automatic generation method and device for a ventilation system of a small power distribution room and a medium, and relates to the technical field of ventilation design, and the method comprises the steps: obtaining civil engineering model data in a building information model, and carrying out the spatial object screening in the civil engineering model data based on a preset room keyword list, determining at least one target power distribution room; according to the civil engineering model data, wall objects in each target power distribution room are classified, a wall classification result corresponding to each target power distribution room is determined, and the wall classification result comprises first-class walls, second-class walls and invalid walls; and generating an exhaust fan arrangement strategy according to the wall classification result corresponding to each target power distribution room, carrying out dynamic collision detection on the exhaust fan arrangement strategy according to the civil engineering model data, and if a collision behavior is not detected, outputting the exhaust fan arrangement strategy to generate a ventilation system layout corresponding to the target power distribution room.

The invention relates to the technical field of virtual training, in particular to a firefighter search, rescue and escape virtual training method and system, and the system comprises a virtual scene dynamic construction module which abstracts a room and a corridor intersection into nodes according to a planar graph of a building, abstracts a door and a channel into edges with geometric distance weights, and carries out the virtual scene dynamic construction module; and responding to a fire spreading or structure collapse event in the virtual training, adjusting the weight of a corresponding edge to be infinite, obtaining a shortest path, and establishing a reference rescue path set. According to the method, through dynamic analysis of building plan structure information, rooms and corridor intersections are abstracted as nodes, doors and channels are abstracted as edges with geometric weights, the accessibility of the edges is adjusted in real time after fire spreading or structure collapse occurs, impassable conditions are introduced during path calculation, and the path calculation accuracy is improved. And the real-time adaptability and rescue simulation precision of the path generation process are improved.

A comprehensive spatial AI platform for neural 3D reconstruction and built environment analysis integrates foundation models, deep learning methods, and spatial reasoning capabilities to provide expert knowledge of the physical world. The platform combines symbolic AI and machine learning to facilitate 3D semantics for insurance, real estate, construction, robotics, and other business applications. The system processes captured images, videos, or point clouds through neural networks with low compute requirements, incorporating device-agnostic advanced spatial intelligence that delivers geometric, semantic, and relational data. The platform includes proprietary training innovations, comprehensive measurement and semantic understanding, external sensor integration, human-in-the-loop quality assurance, and API integration for programmatic access. Advanced spatial reasoning capabilities enable property damage assessments, construction progress tracking, robotics navigation, and real-time applications including room dimension validation and automated repair estimates, supporting enterprise workflows across various industry segments while enabling productivity improvements and new value-added spatial AI use cases.

The invention discloses a room position dimension deviation automatic detection method based on handheld point cloud acquisition, relates to the technical field of three-dimensional space information processing, and aims to solve the problems of low data acquisition efficiency, disjunction in processing and lack of real-time feedback in the prior art. According to the method, on the basis of a handheld scanning terminal, a mobile application program and a cloud server, through BIM-driven augmented reality scanning path planning, field data real-time quality monitoring and end-cloud collaborative point cloud intelligent processing, automatic recognition and evaluation of room position size deviation are achieved, and intelligent judgment and visual delivery of results are carried out. By adopting the technical scheme, the whole-process automation and intelligentization of the detection process can be realized, the operation efficiency is remarkably improved, and the data quality and the reliability of an analysis result are ensured.

The invention discloses an intelligent regulation and control method and system for the environmental comfort degree of a central air conditioner terminal, and relates to the technical field of air conditioner regulation and control. The intelligent regulation and control method comprises the following steps that a pressure fluctuation track generated by aerodynamic disturbance is collected in the operation process of a draught fan, and the pressure fluctuation track is converted into energy spectrum distribution in a time sequence; establishing dynamic energy representation of the fan frequency; based on dynamic energy representation of fan frequency, a sound vibration field is projected in a spatial range, excitation response of inherent frequency is synchronously recorded through a room structure sensing array, and instantaneous energy coupling fingerprints of a room structure are formed. Through dynamic energy characterization and structural response coupling analysis, real-time identification and quantitative control of the standing wave noise risk are realized, a phase drift mechanism is introduced at a risk critical point, a fan disturbance phase is actively adjusted, standing wave superposition is effectively blocked, and acoustic safety and operation stability of a tail end environment are improved.

A central HVAC thermostat controls a central HVAC system of a home. The thermostat further includes a control unit and remote-control device for controlling at least one room HVAC system in a room of the home. The control unit generates control data for the at least one room HVAC system. The remote-control device receives the control data from the control unit. The remote-control device converts the control data to wireless control signals. Finally, the remote-control device sends the wireless control signals to the at least one room HVAC system using a first wireless communication technology. The at least one room HVAC system can include at least one air conditioner or at least one heat pump. The first wireless communication technology can be infrared technology. The control unit further transmits the control data to the remote-control device using a second wireless communication technology.

Systems, methods and / or interfaces are provided for generating interior design options. In some implementations, the method includes obtaining an inspiration image of a portion of a room, a furniture, fixture and equipment, or a combination. The method also includes parsing the image, including segmenting the inspiration image into sub-images corresponding to each furniture, fixture or equipment. The method also include identifying alternatives based on the sub-images and a layout of the room, including coordinating the alternatives with respect to each other and coordinating the alternatives with respect to the room. The method also includes generating and / or displaying variations of the room with images corresponding to the alternatives. In some implementations, the method includes parsing an image to generate an empty room sketch or schematic, generating alternatives to be placed in the empty room according to the room, and generating and / or displaying a visualization by placing the alternatives in the room.

The invention belongs to the field of multi-room negative pressure gradient control, and discloses a multi-room negative pressure gradient automatic control method and system based on reinforcement learning. An environment model containing multi-dimensional dynamic parameters such as an environment pressure state, an access control state, a fan air volume and a room coupling relation is constructed, so that the method can directly obtain an optimal control strategy through interactive learning on the premise of not needing an accurate physical model. Through the self-adaptive decision-making capability of reinforcement learning, linkage adjustment of the exhaust air volume and the fresh air volume of each room and the power of a total exhaust fan and a fresh air fan of the whole system is achieved, so that the stability of gradients of a corridor-5Pa, a ward-10Pa, a semi-polluted area-15Pa, a polluted area-20Pa and the like is kept, and it is ensured that the pressure difference of all areas is always within the safety range of-7Pa to-2Pa.

The invention discloses a backtracking algorithm-based large equipment room position searching method, equipment and medium, and the method comprises the steps: obtaining a large equipment room candidate position set generated through spatial analysis, and building a candidate position hierarchical evaluation mechanism; the hierarchical evaluation mechanism comprises a hard constraint layer, a soft constraint layer and an optimization target layer; constructing a weighted directed graph based on the candidate positions satisfying the hard constraint layer, and determining the weight of each node in the weighted directed graph based on the comprehensive evaluation result of the soft constraint layer and the optimization target layer; nodes in the weighted directed graph represent candidate positions and virtual nodes of each room; constructing an unweighted undirected avoidance graph, and identifying a spatial conflict relationship among all candidate positions; and searching an optimal path in the weighted directed graph and the unweighted undirected avoidance graph through a backtracking algorithm in combination with a heuristic rule, generating a position combination of the large equipment rooms, eliminating virtual nodes in the position combination, and restoring to a final arrangement scheme of the positions of the large equipment rooms.

The invention relates to a cleaning method of a cleaning robot and related equipment thereof. The method comprises the following steps: acquiring a map comprising one or more room areas; generating a first patrol path passing through each room area; the cleaning robot is controlled to move along the first patrol path, in the moving process, the environment detection device is used for detecting smudginess information of all the room areas, and the smudginess information comprises the positions, the areas and the smudginess types of the smudginess areas; planning a cleaning path for cleaning a target room area according to the smudginess information, wherein the target room area is a room area containing a smudginess area; and controlling the cleaning robot to clean the target room area along the cleaning path. According to the invention, the problem of long cleaning time consumption of the cleaning robot in the prior art is solved, and the cleaning time is saved.

The invention discloses an exhaust system arrangement method and device based on a water pump house and a medium, and the method comprises the steps that space parameters in a building information model are obtained, and the minimum exhaust air rate of the water pump house is calculated through a ventilation frequency method based on the space parameters; the space parameters comprise room area, floor height, beam height and obstacle position information; obstacle distribution in the water pump house is recognized, the priority of a passing area is defined, and an air pipeline routing path is generated based on a path planning algorithm; according to the minimum exhaust air rate, the route of the air pipeline and a preset air speed limit value, air pipe component parts are calculated, fan parameters corresponding to an exhaust system are selected, and the sectional area of the air pipe is determined; the fan parameters comprise model parameters and air volume; and according to the sectional area of the air pipe and the fan parameters, the corresponding air pipe component parts are automatically matched, and according to a preset standardized connection rule, the air pipe component parts are subjected to spatial layout combination.

To provide a remote controller and an air conditioning system capable of making many users in a room more comfortable.SOLUTION: The remote control device includes: a first communication control unit which transmits an operation signal to an air conditioner which air-conditions a room; a second communication control unit which performs wireless communication with a plurality of wireless communication devices in the room; and a main control unit which controls the first communication control unit and the second communication control unit, wherein the main control unit acquires, via the second communication control unit, information on the number of the plurality of wireless communication devices existing in the room and preferred operation setting information from each of the plurality of wireless communication devices, and, the operation setting of the air conditioner is determined based on the information on the number of air conditioners, the favorite operation setting information, and the preset information on the size of the room, and an operation signal based on the operation setting is transmitted to the air conditioner via the first communication control unit.SELECTED DRAWING: Figure 2

The invention belongs to the technical field of smart home and energy transmission and distribution, and particularly relates to a 4Gamp-combined system. The invention discloses an Internet of Things intelligent transmission and distribution method based on LORA wireless technology, and the method comprises the following specific steps: a data collection and uploading stage: obtaining parameter information, uploading the data to a transmission and distribution central centralized control center through an LORA module, and uploading key data to a cloud platform through a 4G module; performing data processing and analysis, comparing the collected data with a preset target value, calculating parameters to be adjusted, and performing synchronous analysis and early warning; in the control execution stage, an adjusting instruction is sent to each branch control valve and a water mixing device through an LORA module, the cold and hot water mixing proportion is adjusted so as to control the water supply temperature, and the control valves adjust the water flow of each room according to requirements; remote monitoring and feedback optimization are carried out; and intelligent learning and optimization. Accurate distribution, intelligent control and remote management of household energy are achieved, the household energy utilization efficiency is improved, energy consumption is reduced, the living comfort is improved, and meanwhile the system construction and operation cost is reduced.

A mud treatment system that can be used during emergencies is disclosed. The system includes an autonomous vehicle carrying a mud treatment device. In response to information about a mud-related disaster at a specific location, the system will instruct the vehicle to travel to the location, enter a building, and dispense one or more applications of mud softener in the interior space of the building. The vehicle can navigate from room to room and determine whether moisture content levels are below a specified threshold. In response, the vehicle can direct its mud or dirt softening efforts to these specific zones.

Aspects of the present disclosure relate to more accurate and quicker localization of an artificial reality (XR) system in a real-world space (e.g., a room). If a user enters a room and localization fails, the system can locate a corner that was designated in a previous localization. The corner could have been manually selected by the user or could have been automatically recommended by the XR system. In some implementations, the user or system can identify two adjacent corners in the room for further accuracy. Through later selection of the corner(s) for localization, the XR system can identify the saved room using depth sensors, with identification of corners being more reliable and detectable than other methods identifying walls.

The invention discloses a hotel room management method and system, and relates to the technical field of Internet of Things and equipment management, and the method comprises the steps: obtaining the room number of a hotel room and the module information in the room, and defining the unique equipment identifier of each piece of equipment in the room; the unique device identifier is bound with a room main control module, and the room main control module communicates with a remote platform; business scene presetting associated with the room type is established and issued on the remote platform, and the room main control module detects and executes equipment control action according to the received business scene presetting. According to the invention, each piece of equipment is ensured to be accurately monitored and managed on the system level, the operation processes of subsequent batch configuration and remote maintenance are simplified, and the hotel operation efficiency is greatly improved. And the room type template can be continuously optimized, scene configuration can be adjusted, personalized linkage control for different guest habits or room types can be realized, and the guest check-in experience can be obviously improved.

The invention relates to a building space layout optimization design method and device, equipment and a medium. The method comprises the following steps: analyzing a building base contour, a room type library and a building specification text to generate structured data; based on the geometric boundary, the hard constraint rule set and the spatial topological relation graph, an optimized sampling scheme set is obtained through Latin hypercube sampling, reinforcement learning strategy and supplementary sampling processing, and based on the spatial topological relation graph, the attribute matrix and the soft constraint target set, multi-target calculation and agent model training processing are conducted on the optimized sampling scheme set, so that the optimal sampling scheme set is obtained. Obtaining a full-scheme evaluation set; and based on the hard constraint rule set and the soft constraint target set, performing Pareto screening, hard constraint repair and soft constraint optimization processing on the whole scheme evaluation set to generate a final optimization layout scheme. According to the method, by means of building design information structured analysis, multi-strategy sampling, multi-target evaluation and the like, the design efficiency, scheme compliance and multi-target performance global optimality of building space layout are improved.

A comprehensive spatial AI platform for neural 3D reconstruction and built environment analysis integrates foundation models, deep learning methods, and spatial reasoning capabilities to provide expert knowledge of the physical world. The platform combines symbolic AI and machine learning to facilitate 3D semantics for insurance, real estate, construction, robotics, and other business applications. The system processes captured images, videos, or point clouds through neural networks with low compute requirements, incorporating device-agnostic advanced spatial intelligence that delivers geometric, semantic, and relational data. The platform includes proprietary training innovations, comprehensive measurement and semantic understanding, external sensor integration, human-in-the-loop quality assurance, and API integration for programmatic access. Advanced spatial reasoning capabilities enable property damage assessments, construction progress tracking, robotics navigation, and real-time applications including room dimension validation and automated repair estimates, supporting enterprise workflows across various industry segments while enabling productivity improvements and new value-added spatial AI use cases.

Techniques are described for automated operations to analyze visual data from images acquired in multiple rooms of a building to generate building information that may include a floor plan for the building, such as by analyzing visual overlap between those images to determine information that includes global inter-image pose and locations of walls and optionally other structural elements, and by using the generated building information in further automated manners. In some situations, the described techniques include using a combination of a trained diffusion transformer machine learning model and a bundle adjustment optimizer to determine global inter-image pose and wall location data and to use that data to generate a resulting floor plan for the building, such as to operate in parallel or with the bundle adjustment optimizer as a layer within the diffusion model that provides guidance for its automated determinations.

The invention relates to the field of robot navigation, and particularly discloses a target object searching method and system based on node information, a terminal and a medium, and the method comprises the steps: constructing a building, floor, room and object layered scene map from top to bottom; extracting object information in the room nodes by using a large language model, and taking the extracted information as node information of the room nodes; folding the layered scene map to obtain a simplified scene map, and adding corresponding node information to each room node in the simplified scene map; in response to a navigation task instruction, inputting the simplified scene map added with the node information and the navigation task instruction into the large language model, so that the large language model is positioned to a room node matched with the navigation task; and unfolding the positioned room node, and finding a target object from the current room node by using a large language model. The efficiency and precision of target object searching are improved, and the operation efficiency of the robot is improved.

The invention discloses a non-continuous operation central air conditioner operation control method which comprises the following steps: 1, selecting proper model calculation parameters according to a project location; secondly, the temperature and the relative humidity in the room are collected through a temperature and humidity sensor, and an indoor air enthalpy value is obtained through calculation; 3, constructing an indoor personnel thermal comfort model; and fourthly, a room control model is built, and the starting time of the room air conditioner system is obtained. The energy consumption of pre-cooling / pre-heating treatment of the non-continuously operating central air conditioner before operation of a building is started can be reduced, meanwhile, the thermal comfort level of indoor personnel is improved, and a cold and heat source system of the air conditioner is efficiently configured.

A method, computer system, and computer program product are provided for assessing workspaces for privacy and allocating users to workspaces. Audio is obtained from one or more rooms of a building, wherein the audio is obtained via one or more microphones that are positioned outside of each of the one or more rooms. The audio is analyzed to determine a privacy level for each of the one or more rooms. A user is identified who is present in the building, wherein an identity of the user indicates privacy requirements of the user. The user is assigned to a particular room of the one or more rooms based on the privacy requirements of the user and the privacy level of each of the one or more rooms.