116 results about "Home setting" patented technology

The invention discloses an intelligent household electrical appliance interaction control method and system, and the method comprises the following steps: collecting the operation state parameters, environment perception data and user behavior characteristics of each household electrical appliance in a living space in real time, and generating an environment perception data packet through a multi-modal data fusion model; constructing a user habit preference model library, generating a household appliance control strategy decision tree in combination with historical interaction records, and matching an optimal control strategy set according to a real-time scene type; and when a user active intervention signal or an environment sudden change event is detected, a dynamic strategy reconstruction mechanism is triggered, an instruction updating request carrying a priority identifier is broadcasted to the associated household appliance group, and a redistribution control instruction set is generated. The method has the following advantages and effects: multi-source environment data can be deeply fused, the user habit model is constructed in real time, and the method has a dynamic strategy reconstruction capability so as to solve the problems of response lag, strategy stiffness and energy efficiency imbalance in a complex home environment in the prior art.

The invention relates to the technical field of smart home, and discloses a smart home environment regulation and control method and device based on multi-modal behavior perception, and the method and device can understand the home environment parameter preference of a user in different scenes through a home habit reference value. The current physiological state, behavior mode and environment condition of the user can be comprehensively captured by collecting multi-mode sensing data. And calculating a multi-modal data deviation value to quantify the difference between the current home environment and the user habits, and positioning environment factors needing to be adjusted. The multi-modal data deviation value is subjected to weighted fusion calculation according to the weight matrix driven by the current health state of the user, and the comfort degree deviation index is generated, so that the recognition accuracy of user requirements is improved, and personalized and dynamic comfort degree evaluation is realized. An intelligent regulation and control strategy is determined according to the comfort degree deviation index, precise regulation and control of the home environment in the fields of medical science and technology and home-based care for the aged are achieved, and the accuracy and adaptability of home environment parameter regulation and control are effectively improved.

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.

The invention belongs to the technical field of augmented reality, and discloses an AR scenario furniture identification and dynamic removal system based on artificial intelligence, and the system comprises the steps: carrying out the multi-view image registration, furniture entity segmentation and shielding completion analysis based on the obtained hotel scene AR image sequence data, and forming a complete furniture contour feature; the style similarity of the furniture multi-dimensional feature vectors is analyzed, and a furniture style recognition result is obtained; the method comprises the following steps: acquiring AR scanning data of a home environment, performing furniture removal priority ranking through space conflict analysis and style coordination evaluation, generating a dynamic removal strategy, establishing furniture three-dimensional model data based on the dynamic removal strategy, and performing material texture mapping and shadow fusion to obtain a realistic rendering effect; an interactive optimization adjustment scheme is generated, and scene parameter real-time adjustment and optimization and visual effect improvement are realized through user feedback; the reality sense of virtual home display and the user experience effect are remarkably improved.

The invention discloses a multi-device cooperative intelligent household electrical appliance control method, which belongs to the technical field of intelligent home furnishing, and specifically comprises the following steps: a household electrical appliance collects environment and self state data in real time, and when any device detects that the data exceeds a preset threshold value, a trigger message containing an event type code is broadcasted to a local area network; a device receiving the message calls a capability database, and a control parameter set containing operation instruction sequences of the device and associated devices is generated in combination with current environment parameters; the parameter sets are uploaded to a shared storage area, each device performs conflict detection on other parameter sets, and conflict marks and correction parameters are generated when output variables are monitored in a local simulation environment and a safety range is exceeded; two parameter sets with the least conflicts are selected according to the number of conflict marks to compare the difference, each device quantitatively scores according to a preset rule, finally the device with the highest score is selected as an execution scheme, and the device analyzes and executes a corresponding instruction; according to the invention, multi-device cooperative intelligent control is realized, and the efficiency and reliability of home environment regulation and control are improved.

The invention discloses an integrated system and method with body movement control in a home environment, and the system comprises a home task construction module which is used for constructing a simulation environment, designing home tasks, labeling task data, defining task attributes, and obtaining an original home task data set; the data enhancement module is used for performing enhancement processing on the data set by adopting a supervised fine tuning SFT method and a direct preference optimization DPO method; the evaluation index module is used for setting indexes for evaluating system performance; the HLP module is responsible for decision making and planning adaptation of a tool, and generates an output O comprising a subtask and a selected bottom layer model m based on the input instruction I; the LLE module is used for converting the subtasks output by the HLP, the selected underlying model m and the inventory inv into model calling instructions, the selected underlying model m starts to execute work, error detection is carried out in real time in the execution process, the execution result is fed back to the HLP, and the execution process is recorded. The system has excellent performance.

1. The name of the design product: folding ground mat. 2. The use of the design product: folding ground mat used in home environment. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: front view.

This invention provides a smart home remote control system, relating to the fields of visual detection and intelligent control, comprising: a dynamic home feature calibration module: screening and classifying smart home devices controllable by the remote control system, and acquiring initial three-dimensional coordinate values ​​of feature points through visual detection technology; a static home environment ground state acquisition module: acquiring initial environmental feature data of static home devices in real time; a control target routing module: selecting whether to call the dynamic home response verification module or the static home response verification module; a dynamic home response verification module: calculating the dynamic home change index and outputting the dynamic home control judgment result; and a static home response verification module: calculating the static home environment change index and outputting the static home control judgment result. This invention enables the system to objectively and accurately confirm whether the control has been truly executed and produced the expected effect, even when the home devices themselves do not provide status feedback or the feedback is unreliable.

A portable method and device for monitoring sodium ions in breast milk, belonging to the field of lactation status feedback, is disclosed. The method is executed after a breast milk container is installed on the main unit and includes the following steps: breast milk container identification and batch parameter loading, posture detection and gating, dry self-calibration of the electrical channel, thermal pulse temperature response acquisition and thermodynamic virtual volume feature extraction, low-frequency / high-frequency electrical response acquisition and bubble interference feature extraction, optical scattering signal acquisition and fat / turbidity proxy feature extraction, and geometric boundary compensation, temperature compensation, milk fat shielding compensation, and sodium ion concentration inversion based on the multi-dimensional features. It can also perform nursing guidance push, result storage, and edge-cloud collaborative updates. The device includes a main unit and a breast milk container. The main unit contains a heating film, a temperature probe, an optical turbidity detection module, and an electrode detection module connected to a four-electrode structure. This solution can improve the accuracy, stability, and repeatability of breast milk sodium ion detection in a home setting.

The invention relates to the field of intelligent equipment control, and provides a smart home cooperative control method based on the Internet of Things. The method comprises the following steps: analyzing historical state data of a smart home environment through machine learning to obtain an equipment association map, and encoding collected real-time state data to obtain a global state vector; clustering by combining the global state vector and the equipment association map to obtain a life scene mode set, extracting a trigger condition to form a library, and inputting the global state vector into a neural network to predict scene occurrence probability distribution; determining standard equipment state configuration corresponding to a target scene in the trigger condition formation library according to scene occurrence probability distribution, and performing multi-target optimization on standard equipment state control to obtain a cooperative control strategy list; and executing instructions in groups on the cooperative control strategy list according to the equipment network partitions, and performing monitoring compensation in the execution process. According to the invention, the scene intelligent control accuracy of the intelligent equipment is improved.

The application discloses a kind of based on smart home 3D virtual simulation method and system, it is related to virtual simulation technical field, including, collection physical home environment data, constructs smart home 3D virtual scene, the semantic binding of equipment model in scene is carried out, and is given space attribute and interactive parameter;Set the interactive rule of virtual equipment, establish the mapping relationship of virtual equipment and real smart home equipment, access real smart home equipment data and transmit control instruction;In equipment abstract layer, each equipment is defined uniform equipment object model, and control logic layer is called uniform API when interacting;Through the practical training mode manager of control logic layer, practical training mode switching is carried out, and preset pure virtual simulation mode, virtual-real combination control mode and full physical deployment mode.The method disclosed in the application provides zero-cost, zero-risk experimental environment;Virtual-real combination mode realizes the synchronous response of virtual picture and physical action by mirror distribution technology.

The home gateway signal adjustment method and device, the storage medium and the computer device provided by the application can first determine the regional clustering of each access gateway deployed in the home environment in the current signal coverage range when adjusting the signals of each access gateway in the home environment, first use each access gateway to send a first pilot sequence to each regional cluster, and adjust the signals of each access gateway according to the first feature vector returned by each regional cluster in response, then use each access gateway after signal adjustment to send a second pilot sequence to the home terminal in the corresponding regional cluster, and adjust the signal coverage range of the regional cluster according to the second feature vector returned by each home terminal in response, so that the signal coverage range of the access gateway can accurately cover the corresponding home terminal, the signal power of the area in the regional cluster where the non-home terminal is located is reduced to the minimum, and thus the signal interference between each home terminal is eliminated.

1. The name of the design product: ceramic container (general jar). 2. The use of the design product: the product is suitable for multiple scenarios of home environment such as living room, dining room, kitchen, study room, etc., and has the functions of tableware and container. 3. The design points of the design product: the combination of shape and color. 4. The picture or photo that best indicates the design points: reference Figure 1 in use. 5. The design for which protection is sought includes color. 6. Other circumstances that need to be explained: the design product adopts double-layer design, and the outer part is transparent glass material.

The invention discloses a smart home central control system and an operation method thereof, and relates to the technical field of smart home control, and the method comprises the steps: receiving a control instruction of a user, which comprises a specific control instruction or a target control instruction; if the control instruction is the target control instruction, determining at least one corresponding intelligent device according to a preset association relationship between an environment target and a device; acquiring working state data of the devices and current home environment data, and generating at least one specific control instruction; judging whether equipment corresponding to each specific control instruction supports direct connection or not; and if so, directly sending an instruction to the device, otherwise, converting the instruction into intermediate data and sending the intermediate data to a user terminal installed with a device control APP, and indirectly controlling the device through the APP. According to the invention, through the unified control entrance and intelligent instruction conversion, the problem of inconvenient management of multiple APPs is solved, and one-stop and intelligent cooperative control of diversified intelligent devices is realized.

The application discloses a kind of based on radar navigation's screw drive V-shaped spring clothes taking robot, comprising: mobile trolley chassis, integrated with radar, ultrasonic sensor, camera, drive wheel, drive motor and rotary motor, for realizing environmental perception, autonomous navigation and chassis movement;Column type clothes taking device, including column and the clothes taking device and two-dimensional code recognition camera connected at its top, clothes taking device includes screw drive mechanism and V-shaped spring clothes taking component;With two-dimensional code label's buckle clothes hanger;And control module, respectively with the radar, ultrasonic sensor, camera, drive motor, rotary motor, two-dimensional code recognition camera and the motor of screw drive mechanism electrically connected, for whole machine instruction transmission and action coordination control.The application can realize no identification autonomous navigation, accurate positioning, adapt to a variety of home environment and clothes hanger specification.

1. The name of the design product: smart lock (panda shape DSC1). 2. The use of the design product: for door lock in office or home environment. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The present disclosure introduces an Intelligent Context-Aware Smart Home Management System designed to proactively adjust smart home settings, leveraging both historical and real-time data to offer personalized, anticipatory support. By integrating advanced machine learning techniques, the system dynamically predicts and fulfills user needs through context-aware assistance. Central to this innovation are three key recognizers: wake-word detection, dynamic transcription, and relevance-based scene recognition, working in tandem to activate and provide precise, timely assistance based on the user's immediate context and preferences. An autonomous decision-making module evaluates context relevance, selects optimal scenes, and implements necessary commands across interconnected smart home devices, significantly enhancing user experience.

The invention discloses a smart home control system based on Internet of Things, which belongs to the field of home control systems and comprises an Internet of Things sensor module, an edge computing gateway, a cloud analysis platform and an execution control module. The Internet of Things sensor module is deployed in a home environment, and comprises a plurality of high-definition cameras used for collecting pet dynamic video streams in real time; the microphone array is used for collecting environment sound signals; the millimeter wave radar sensor is used for detecting micro-motion characteristics of the life body; the infrared thermal imaging sensor is used for positioning the position of a living body; the environment sensor group comprises a temperature and humidity detection sensor, a door and window state detection sensor and a current detection sensor; and the edge computing gateway is connected with the Internet of Things sensor module and is used for preprocessing the video stream and the sound signal. According to the invention, life experience of pets at home can be effectively improved, and abnormity of the pets can be found in time and remedied.

A vehicle home setting device includes a vehicle tracking unit, a non-transitory computer readable medium and an electronic controller. The vehicle tracking unit electronically collects vehicle visit locations of the vehicle. The non-transitory computer readable medium electronically stores the vehicle visit locations during vehicle travel, and stores vehicle roundtrip travel information having corresponding vehicle start and stop locations that are the same. The electronic controller is programmed to categorize the end locations as one or more home locations of the vehicle based on a calculated number of the intermediary stop locations for vehicle roundtrip travel. The intermediary stop locations are locations that are visited by the vehicle during vehicle roundtrip travel that does not include the start and stop location in which the vehicle is turned off.

1. Name of the designed product: Intelligent lock (robot shape DR10). 2. Use of the designed product: Door lock for office or home environment. 3. Design points of the designed product: In shape. 4. Picture or photo that best indicates the design points: Perspective view.

The invention discloses a home panel self-adaptive control method based on reinforcement learning, and aims to solve the problem that a traditional home panel is insufficient in intelligence and self-adaptive capability. Comprising the following steps: S1, acquiring environmental parameters and user operation data, and constructing a time sequence data pair; s2, preprocessing the time sequence data pair to generate a feature vector; s3, training by adopting a reinforcement learning algorithm based on the feature vector and obtaining an optimal control strategy; s4, applying the optimal control strategy to the home panel to realize automatic parameter adjustment; s5, continuously collecting user feedback and environment change information, and optimizing a model state and a control strategy in real time; and S6, dynamically adjusting the output of the home panel according to the optimization strategy to realize adaptive control. According to the invention, the intelligent and self-adaptive capabilities of the home panel can be significantly improved, efficient and energy-saving management is realized, and the comfort of the home environment and the user satisfaction are effectively improved.

The invention relates to the technical field of old-age care health monitoring, and discloses an old-age care service quality monitoring system based on multi-dimensional data fusion identification and prediction. Comprising an interval formulating module for formulating a dynamic interval of a target old person, a first data acquisition module for constructing a physiological fluctuation map of the target old person, a first early warning judgment module for judging whether a health early warning prompt is sent out, a second data acquisition module for acquiring user behavior data and home environment data, and a second early warning judgment module for judging whether the health early warning prompt is sent out. Judging whether a health early warning prompt is sent or not; according to the invention, a multi-dimensional old-age service quality monitoring effect of a target old person in a physiological dimension, a behavior dimension and an environment dimension can be realized, a double-layer old-age service quality monitoring effect of the target old person is also achieved, and the negative problems of limitation and inaccuracy existing in single-dimensional old-age service quality monitoring are avoided. And the comprehensiveness and accuracy of old-age service quality monitoring are effectively improved.

The embodiment of the invention provides a control method of a control switch, the control switch, a system, equipment and a medium, and the method comprises the steps: receiving a plurality of environment parameters collected by a sensor, determining a target parameter of current adjustment from each environment parameter according to a preset environment index and priority of each environment parameter, determining a first device group for adjusting the target parameter, wherein the first device group comprises at least one smart home device; and according to a pre-stored mapping relationship between the environmental parameters and light colors, obtaining and indicating an indicator lamp of the control switch to display a target color corresponding to the target parameter, meanwhile, enabling the control switch to respond to the control operation, and controlling the first equipment group according to the control operation, therefore, the user can directly operate to realize adjustment of the target parameters without thinking and active switching, the steps of manual operation required by the user in a complex smart home environment are reduced, and the user experience and the control efficiency are remarkably improved.

The utility model discloses a modularization pet cabinet, including cabinet, connecting cabinet and buckle connecting piece, and the buckle connecting piece includes first buckle and second buckle, first buckle includes gourd shape card slot, and the first card body that is corresponded with the small groove size of gourd shape card slot is provided on second buckle, and the cabinet is fixed with connecting cabinet through the buckle connecting piece, wherein, first buckle is fixed on the cabinet, and second buckle is fixed on the connecting cabinet. The utility model discloses through the design of buckle connecting piece, can carry out modularization assembly to pet cabinet, make it can according to pet quantity, species and the change of habit and carry out flexible combination and adjustment, satisfy the diversified demand of many pet family, and convenient handling and adapt to different home environment simultaneously.

The utility model provides a multifunctional storage cabinet which comprises a plurality of partition plates forming a multi-layer structure, storage boxes and storage decoration plates are arranged between the partition plates and are arranged at intervals, and the storage boxes and the storage decoration plates between adjacent layers of the multi-layer structure are arranged in a staggered mode. According to the multifunctional storage cabinet, a conventional square storage cabinet is arranged to be in a style similar to a storage rack, the continuously-combined box body is divided into the single box bodies, the multifunctional storage cabinet is attractive, stored objects are classified more clearly and are not prone to being mixed, the storage decoration plates are arranged between the box bodies, and the storage cabinet is more convenient to use. Decorative articles can be placed on the partition plates by leaning against the article-placing decorative plates, so that the whole storage cabinet is more suitable for the home environment, and people feel happy.

The present disclosure introduces an Intelligent Context-Aware Smart Home Management System designed to proactively adjust smart home settings, leveraging both historical and real-time data to offer personalized, anticipatory support. By integrating advanced machine learning techniques, the system dynamically predicts and fulfills user needs through context- aware assistance. Central to this innovation are three key recognizers: wake-word detection, dynamic transcription, and relevance-based scene recognition, working in tandem to activate and provide precise, timely assistance based on the user's immediate context and preferences. An autonomous decision-making module evaluates context relevance, selects optimal scenes, and implements necessary commands across interconnected smart home devices, significantly enhancing user experience.

The utility model discloses a cat climbing chair which comprises an integrally-formed plastic main body frame which is made of polypropylene (PP), polyethylene (PE) or polycarbonate (PC). The detachable flax cushion is arranged at the top of the main body frame and forms a seat surface or a tea table top; the unique tenon-and-mortise connecting pieces (T-shaped / swallow-tail-shaped) are used for realizing tool-free quick splicing; after the 2-3 chair bodies are transversely combined, the lengthened chair is formed to meet the use of multiple persons; the internal cat nest space is communicated to create a multi-channel pet amusement area, the space utilization rate is remarkably increased, and the detachable flax cushion facilitates cleaning of food stains of children; the side fabric fixed by the Velcro supports regular replacement, so that the maintenance cost is reduced; the cat hole at the bottom guides the pet to act and avoids climbing the table top; and the high-brightness colored coating enhances the aesthetic property and is naturally integrated into the home environment.

The invention discloses an Internet of Things home environment monitoring system and method supporting edge computing, and the method comprises the steps: collecting home environment data in real time through an environment monitoring sensor module, and transmitting the data to an edge computing node; the edge computing node performs data cleaning, abnormal value filtering and denoising preprocessing on the received original data; analyzing the preprocessed data according to a preset algorithm and rule, and generating an environment monitoring report or a decision instruction; the edge computing node synchronizes the processed data to a cloud end regularly or as required for remote analysis, historical query and data storage; according to the decision result of the edge computing node, home environment equipment is automatically or manually controlled, and indoor temperature and humidity and air quality parameters are adjusted; according to the Internet of Things home environment monitoring system and method supporting edge computing, the equipment data are processed through the edge computing nodes, the real-time performance, reliability and safety of home environment monitoring are improved, and the existing technical problems are solved.

The application discloses an intelligent household appliance interaction control method and system, comprising the following steps: collecting the running state parameters, environment sensing data and user behavior characteristics of each household appliance in the living space in real time, generating the environment sensing data package through a multi-modal data fusion model; constructing a user habit preference model library, generating a household appliance control strategy decision tree in combination with historical interaction records, and matching an optimal control strategy set according to a real-time scene type; when a user active intervention signal or an environment mutation event is detected, triggering a dynamic strategy reconstruction mechanism, broadcasting an instruction update request carrying a priority identifier to an associated household appliance group, and generating a reallocation control instruction set. The application has the following advantages and effects: multi-source environment data can be deeply fused, a user habit model can be constructed in real time, and a dynamic strategy reconstruction capability is possessed, so as to solve the response lag, strategy rigidity and energy efficiency imbalance problems of the prior art in a complex home environment.

The embodiment of the invention provides a device connection method and device, an electronic device and a readable medium, and the method comprises the steps: monitoring the behavior information of a user in a preset home environment, obtaining the position of the device in the home environment, recognizing the intention of the user to connect the device according to the position of the device and the behavior information of the user, and storing the recognized intention. The method comprises the steps of obtaining a user intention result of a user connecting device and a to-be-connected target device corresponding to the user intention result, pre-loading device operation data of the target device at a user terminal according to the determined target device, and responding to the fact that the user intention result is larger than or equal to a preset threshold value, based on the device operation data. And controlling the user terminal to be connected with the target equipment. The user behavior and the equipment space position are monitored and analyzed in real time, the equipment connection intention of the user is accurately recognized, accurate and automatic connection between the control terminal and the equipment is achieved, manual operation of the user is not needed, the use requirement for connecting the equipment in real time is met, and therefore the user experience is improved.