736 results about "Roomba" patented technology

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 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.

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 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.

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.

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

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.

A service portal enables a user to request a service from a variety of service providers from the comfort of home or elsewhere. The user is able to place the order and pay for the service using a computing device. Depending on the service request, additional steps may be included such as scanning an item or a room, packaging an item, and / or other preparatory steps. Items are able to be identified via scanning. Order entry is able to be initiated via the scanned identification. The scanned items are able to be inventoried and managed. Augmented reality is able to be used with the scanned items. A standalone services app is able to provide entertainment and other accompanying services.

The invention discloses a multi-source data fusion-based air volume dynamic adjustment method of a fume hood for a clean environment, particularly relates to the technical field of clean environment control, and aims at solving the problem that air volume adjustment of an existing fume hood cannot give consideration to front air suction safety, pressure difference stability and overall energy conservation. A basic operation data set is formed by collecting and filtering window opening and cabinet air speed, an air volume demand value and an initial priority parameter are calculated according to the data set and a room use state mark to form a demand data set, and a deviation memory parameter and a fluctuation influence parameter are calculated by fusing room pressure difference data and the availability of an exhaust fan. Obtaining a stable control priority adjustment coefficient through a time decay score learning model, correcting the priority, distributing the target exhaust air rate and the exhaust fan output, forming a target distribution result, comparing the target distribution result with the actual air valve opening degree and the exhaust fan output state, calculating the adjustment amount, and issuing a control instruction according to the priority; and the deviation record feedback updating coefficient and the demand value are verified in the control period to realize self-adaptive adjustment.

The invention provides a hotel environment adaptive regulation and control system based on the Internet of Things, and belongs to the field of hotel regulation and control management. Comprising a privacy enhanced environment perception and preference acquisition module, a hotel operation data security fusion engine, a dynamic room state and authority regulation and control decision module and a security execution and auditing module which perform data interaction to enhance user data confidentiality and deeply align with hotel operation information; the privacy enhanced environment perception and preference acquisition module is deployed in a guest room and a public area and comprises an environment sensor and a user interaction terminal; a preference acquisition mechanism based on a temporary anonymous identifier is adopted, a user activates an interactive terminal through a check-in voucher and establishes an encrypted anonymous identifier uniquely corresponding to a physical room number, and acquired environment setting preference data is only bound with the anonymous identifier and is stored in an encrypted storage area of a local edge computing node of a guest room.

The present invention provides a process to implement and control localized air- conditioning of occupied regions in large confined space to reduce HVAC energy consumption comprising delineating the space into multiple micro-zones based on a first level of protocol and static parameters thereof including planned activities, occupancy patterns, diffuser characteristics, and furniture layout and controlling airflow through diffusers in the occupied and unoccupied micro-zones to achieve setpoint temperature or thermal comfort only in the occupied regions using minimum HVAC energy through implementing a second level of protocol with dynamic parameters relating to the micro-zones including real-time occupancy, thermal comfort preferences, ambient conditions, and inter-micro-zonal thermal interactions.

A method of determining a probability of a fire occurring in one or more rooms of a building, comprising: determining a geometry of a room in response to a floor plan; determining whether one or more items are located within the room and a combustibility of each of the one or more items; determining whether one or more hazards are located within the room; and determining a probability of a fire occurring in the room in response to at least one or more items being located within the room, the combustibility of each of the one or more items, and the one or more hazards being located within the room.

This invention discloses a method for generating building energy-saving optimization strategies based on UAV infrared imaging, specifically relating to the field of building energy-saving management technology. The method includes acquiring infrared images, timestamps, location coordinates, and air conditioning records collected by a UAV during target building inspections; stitching the infrared images together according to the location coordinates; extracting the room activation status and set temperature from the air conditioning records according to the timestamps; and outputting a temperature map and operation table. By collaboratively organizing the infrared inspection results, room air conditioning operation information, and control area constraints at the edge into an action list, room execution sequence, and area execution sequence, energy-saving recommendations can be transformed from static recommendations into strategy results with constraint resolution, prioritization, and batch execution capabilities, relatively improving the problems of recommendation conflicts and implementation difficulties.

The application discloses a laser robot mapping optimization method, a chip and a laser robot. The optimization method comprises the following steps: acquiring all rooms in a laser robot mapping result, scanning the edges of each room, and counting the total edge length and unknown edge length of each room; calculating the ratio of the unknown edge length of each room to the total edge length thereof; according to the ratio of the unknown edge length of each room to the total edge length thereof, iteratively judging whether the room is to be deleted from the mapping result, if yes, deleting the room from the mapping result, and if no, keeping the room in the mapping result, until all rooms are iteratively judged, and the optimization of the robot mapping result is completed. The ratio of the unknown edge length of each room to the total edge length thereof is used to screen the laser robot mapping result, so that the room with incomplete mapping is optimized, and the reliability of the laser robot mapping result is improved.

The invention relates to a mobile personnel security management method and system based on an intelligent lock, and the method comprises the steps: installing an intelligent lock and a personnel access monitoring device on a door where mobile personnel check in, enabling the check-in personnel to collect and register the identity information and human body biological characteristics in advance, enabling the intelligent lock to carry out the comparison of the biological characteristics, and opening the door to enter a room; the number of people entering and exiting the room, the number of times of entering and exiting and the entering and exiting time are automatically recorded and monitored in real time through the personnel entering and exiting monitoring device, data are transmitted to the local public security management system, and when abnormity is monitored, warning information is sent out and related personnel are notified to handle on-site. According to the invention, the confusion condition that one person registers other people to check in and one person registers multiple people to check in is avoided, room cards are not needed, the check-in experience of guests is improved, the supervision of floating people and the accurate attack of illegal and criminal behaviors can be facilitated, the public security management level of society is greatly improved, and the system has wide popularization and market application prospects.

An operator learning model generator is provided for training a smoothed operator learning model for predicting airflow dynamics in a room used by a controller connected to a heating, ventilation, and air conditioning (HVAC) system. The operator learning model generator includes an interface circuit configured to receive a training dataset via a network connected to a simulation computer, wherein the training dataset includes un-trajectories of airflow in the room for various time series of control actions applied to the HVAC system; a memory configured to store the smoothed operator learning model including an autoencoder and a neural ordinary differential equation, the training dataset, and training instructions for the smoothed operator learning model; and a processor configured to train the smoothed operator learning model stored in the memory, wherein the training instructions include jerk regularization that constrains smoothness of dynamics predicted by the smoothed operator learning model.

The present application provides an ambient temperature self-adaptive control method, device, medium, electronic equipment and heat pump, relates to the technical field of heat pump, and solves the technical problems that customers frequently adjust the set temperature of the unit and the operation is complicated. The method comprises the following steps: S1, presetting user habit parameters; S2, acquiring current outdoor temperature parameters; S3, obtaining starting operation parameters of an air source heat pump unit based on the acquired current outdoor temperature parameters and the preset user habit parameters; S4, acquiring the outdoor temperature parameters again after a set interval time At; S5, obtaining updated operation parameters of the air source heat pump unit based on the outdoor temperature parameters acquired again and the current outdoor temperature parameters acquired in the step S2; S6, comparing the updated operation parameters with actual operation parameters; and S7, executing different temperature adjustment methods based on the comparison result. The present application adjusts the indoor temperature of each room according to the outdoor temperature change of each room, and relieves the situation that the user frequently sets the indoor temperature.

The goal is to provide technology that enables user management while taking privacy protection into consideration. [Solution] The user management system performs a detection process to detect an action performed in room i without specifying which user performed it, and records event data in the database, which is data that associates the detected action with the time. The user management system further performs a first identification process. The first identification process includes determining whether the detected action corresponds to the p-th specific action associated with user p. The first identification process further includes, if the detected action corresponds to the p-th specific action, adding a p-th specific flag to the event data to indicate that user p performed the detected action.

A chat execution unit configured to cause terminals used by a plurality of respective accounts that participate in one room to perform a voice chat, a setting unit configured to set, based on an operation by a user of a first account, one or more accounts in friend relation with the first account as first-state accounts for the first account, a determination unit configured to determine whether or not a predetermined condition is satisfied when an invitation operation to invite the first account to a room is performed by a user of a second account, the predetermined condition including a condition that at least one of the first-state accounts for the first account is not participating in the room, and a notification unit configured to cause a terminal used by the first account to notify that the first account is invited to the room when the predetermined condition is satisfied.

Bringing dirty casters from suitcases and other luggage into a room can stain the floor. While measures such as automatic caster cleaning have been implemented in the past, it has been difficult to completely prevent caster dirt from accumulating. [Solution] A trolley characterized by having one caster section on the bottom and four caster holder sections with two rod fixing sections that open at 90 degrees on the bottom or side, two side rod sections that connect the caster holder sections using the rod fixing sections, one front rod section that connects the caster holder sections using the rod fixing sections, and one back rod section that connects the caster holder sections using the rod fixing sections, makes it possible to effectively solve the problem of dirt adhering to the casters soiling the floor surface of the room.

Estimation unit estimates whether or not there is a person inside of a door based on sound data obtained by obtaining unit. Here, “inside of a door” refers to a space in which a user takes off his shoes at an entrance and a space from which the user who has taken off his shoes enters a room. Setting unit sets a prohibited entry range for drone with reference to the position of the door. More specifically, when it is estimated that there is a person inside of the door, setting unit sets the prohibited entry range larger than when it is estimated that there is no person inside of the door.

The embodiment of the invention discloses an air conditioner control method and device, electronic equipment and a computer readable storage medium, and belongs to the technical field of air conditioners. The method comprises the following steps: acquiring building thermal characteristic parameters and environment information of a target room; target control parameters are obtained based on the building thermal characteristic parameters, the environment information and a preset target processing model; and controlling the air conditioner to operate based on the target control parameters. Thus, by comprehensively considering the building thermal characteristic parameters and the environment information, the air conditioner can be controlled by rapidly matching the appropriate target control parameters through the pre-constructed target processing model, then the control precision of the air conditioner under different building characteristics and environment working conditions is remarkably improved, and the energy-saving effect and the user experience are greatly improved.

1. The name of the design product: the graphical user interface of switching room microphone layout of electronic equipment. 2. The use of the design product: an electronic device. 3. The design points of the design product: the part of the graphical user interface in the electronic equipment. 4. The picture or photo that best indicates the design points: the front view. 5. The electronic equipment is a conventional design, and other views are omitted. 6. The use of the graphical user interface: the product interface is an interface for displaying and interacting with the switching room microphone layout; for the user to switch the microphone mode; in the main view interface, clicking the + button in the upper right corner of the 5 microphones displays the interface change state diagram 1; in the interface change state diagram 1 interface, clicking the use layout button displays the interface change state diagram 2; the content picture is in the gray area of the interface.

An information processing method is executed by a computer in a system incidental to a room. An Artificial Intelligence (AI) agent includes a room AI agent and personal AI agents. The room AI agent receives and responds to an instruction from a user in the room via a voice interaction interface (VUI). The personal AI agents correspond to users in the room. The information processing method includes connecting each AI agent to a virtual space enabling interaction with each other. The room AI agent recognizes the user in the room and a topic of a proposal request from the user via the VUI and notifies the topic and personal AI agents of the recognized user. The personal AI agents generate one or more proposals based on the topic and user's profile. The computer applies, to the system, a setting or processing corresponding to a proposal adopted by the user.

1. Name of the product in this design: Graphical User Interface for Viewing the Story of an Electronic Device Entering a Room. 2. Purpose of this design: An electronic device. 3. The key design features of this product are the graphical user interface portion of the electronic device for which protection is sought. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Electronic devices are designed in a conventional way, so other views are omitted. 6. Purpose of the graphical user interface: The product interface is the display and interaction interface for viewing stories and entering rooms; it is used for viewing stories and entering rooms, etc.; the main view interface is the interactive interface for displaying the chat list; in the main view interface, clicking the super scary story thumbnail will display a change in the interface status; the gray area of ​​the interface is the content screen.

The invention discloses a floor heating room temperature accurate control system and method based on multiple input parameters, and belongs to the technical field of building energy saving and heating ventilation air conditioning. After user setting parameters, system real-time state sensing parameters and room fixed parameters are obtained for multiple times and temperature difference is judged, three independent neural network models of a neural network algorithm module are called for calculation, and then a pipeline water supply temperature control instruction and a proportional valve opening degree control instruction are output to a heat source and a pipeline proportional valve respectively; the heat source power is controlled based on the pipeline water supply temperature control instruction, and water at the specified temperature is generated through a water mixing valve to be supplied to a floor heating pipeline; controlling the opening degree of a pipeline proportional valve based on the proportional valve opening degree control instruction so as to adjust the flow of the pipeline, and ensuring that the opening degree of the proportional valve is accurate through a sliding mode algorithm; the set target temperature and the set arrival time are fused, staged dynamic control is carried out based on different neural network models, and time-temperature double-target accurate tracking is achieved in floor heating control.

Systems and methods are disclosed for analyzing video data from one or more cameras to determine object association and room readiness within an environment. The system detects at least one person and at least one object, correlates the object to an identified person, and determines that the person has exited while the object remains. Based on the determination, one or more control actions are automatically initiated, such as sending a notification, updating a scheduling application, or presenting a visual alert. In another embodiment, video data is processed to detect readiness factors including, e.g., chair count, cleanliness, or whiteboard markings. A readiness score is compared to a stored threshold to determine whether the environment is ready for use, and control actions are initiated accordingly, including, e.g., reassigning meetings or adjusting building management settings.