161 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, which relates to the technical field of household hidden danger detection, discloses an AI-based household hidden danger intelligent detection and early warning system comprising an early warning center, a data acquisition module, a data processing module, an AI analysis module and an execution module. Operation data of each household device in a household environment is acquired through a data acquisition module, and data cleaning, numerical value normalization processing and feature interval screening are performed on the operation data of each household device through a data processing module, so that principal component feature data corresponding to each household device is obtained; the AI analysis module constructs an AI analysis model for carrying out hidden danger analysis on the household equipment, inputs principal component feature data of each household equipment to the AI analysis model to obtain hidden danger items and hidden danger coefficients of the household equipment, delimits hidden danger levels of the household equipment according to the hidden danger coefficients, and finally, determines the hidden danger levels of the household equipment according to the hidden danger coefficients. And the execution module adopts corresponding execution operation according to the hidden danger level of the household equipment.

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 smart home equipment cooperative control method and system based on edge computing, and relates to the technical field of smart home equipment cooperative control, and the method comprises the steps: employing multiple sensors to collect the temperature, humidity, illumination intensity and user behavior data in a home environment, and obtaining an original data set; preprocessing the original data set by adopting a data processing method to obtain a high-quality data set; constructing a multi-modal collaborative decision prediction model based on the high-quality data set in combination with an open-source large language model LLM, inputting the high-quality data set into the collaborative decision prediction model, and outputting a control strategy result; based on a control strategy result, performing instruction distribution and state synchronization on the smart home equipment by adopting a high-efficiency communication protocol between heterogeneous equipment to obtain an equipment operation instruction set; and based on the equipment operation instruction set, computing and storage resources of the edge nodes of the smart home equipment are distributed through a dynamic resource management and load balancing method, and a resource configuration scheme is obtained.

The embodiment of the invention provides a smart home equipment control method and device, equipment and a medium. The method comprises the following steps: acquiring sensor data collected for a current home environment; determining environment state information of the current home environment and user state information of a user in the current home environment according to the sensor data; according to the environment state information and the user state information, determining to-be-adjusted target smart home equipment and generating a target control strategy for the target smart home equipment; and adjusting the target smart home device according to the target control strategy. According to the embodiment of the invention, the intelligent control of the intelligent home equipment is realized according to the environment state information and the user state information, and the comfort and convenience of home life are improved.

The invention discloses a robot common sense reasoning method based on a graph neural network and a spatial knowledge graph, and the method specifically comprises the steps: S1, constructing an indoor common sense knowledge graph composed of entities and relationships through collecting and sorting common sense in an indoor home environment scene; s2, constructing an instance knowledge graph by using a visual relationship recognition method, and generating a triple from an article to a spatial relationship to an article in real time aiming at an actual article spatial relationship existing in a robot operation environment; s3, learning knowledge representation by using a propagation aggregation method in the graph neural network, representing entities and relationships in the knowledge graph into a continuous feature space, and realizing semantic representation of the entities and relationships in the spatial domain knowledge graph; and S4, reasoning indoor common sense by utilizing spatial domain knowledge graph representation, or designing related entity query, and reasoning similar entities by utilizing entity representation in the graph neural network model. By introducing a propagation and aggregation method of a graph neural network, the efficiency of common sense reasoning is 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.

The invention belongs to the crossing field of smart home and health Internet of Things, and discloses a home Internet of Things old-age care monitoring and service system and method based on artificial intelligence, and the system comprises a sensing layer, a network layer, and an application layer. The sensing layer is used for acquiring monitoring data of the old and the home environment; the network layer is used for enhancing and transmitting the monitoring data; and the application layer is used for comprehensively scoring the old people according to the monitoring data. The system is an intelligent old-age care system integrating multi-mode sensor data, edge computing optimization, dynamic communication protocol switching and an artificial intelligence algorithm, and is used for monitoring the health condition of the old in real time, guaranteeing the home safety and providing personalized life services.

The invention discloses an intelligent robot system integrating health monitoring and cleaning functions for old people, and belongs to the technical field of intelligent old people nursing auxiliary equipment. According to the system, through cooperative work of the health monitoring module, the cleaning module, the interaction module, the control module and the communication module, health monitoring, intelligent cleaning and convenient interaction of old people in a family scene are achieved. The health monitoring module integrates the functions of blood pressure detection, medicine taking reminding and fall detection, and supports multi-dimensional health data acquisition and cloud transmission; the cleaning module realizes an efficient cleaning task through dual-mode control and intelligent path planning; the interaction module adopts a voice recognition mode and a touch control operation mode and adapts to the use habits of the old. And the control module dynamically coordinates health monitoring and cleaning functions through a multi-modal data fusion algorithm and a priority scheduling strategy, and preferentially processes emergency health requirements. The communication module supports dual-network encryption transmission, and collaborative management of local equipment and a cloud is realized. The system breaks through the bottleneck of function isolation of traditional equipment, improves the life safety and convenience of old people through an intelligent algorithm and an aging-suitable design, and has the advantages of high integration level, high adaptability and remote management capability.

The invention discloses a smart home cooperative control method and system based on multi-modal information fusion, and relates to the technical field of smart home control. Comprise but not limited to visual information acquired by an image sensor, audio information acquired by a sound sensor and physical environment information of temperature, humidity and illumination intensity acquired by various environment sensors; the collected multi-modal information is preprocessed, and data of different formats and features are converted into a unified recognizable form. Multi-modal information is collected through various image sensors, sound sensors and environment sensors, the home environment can be sensed in an omnibearing and three-dimensional mode, compared with a traditional single sensor sensing mode, richer environment details can be obtained, the indoor temperature can be sensed, the activity condition of indoor personnel can be known through visual information, and the intelligent home environment sensing system is suitable for being popularized and applied. And a more comprehensive data basis is provided for cooperative control of the smart home equipment.

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 utility model discloses an assembly combined cabinet, which comprises three cabinet bodies and two limiting cover plates, the top of each cabinet body is provided with a concave part, the top edge of each cabinet body is provided with a baffle plate which is erected around the periphery of the concave part, and the cabinet bodies can be arranged in the same row or arranged in a mutually vertical manner that long and short sides are connected; the bottom of the limiting cover plate extends downwards to form a first inner groove plate, a second inner groove plate and an outer edge plate, the first inner groove plate, the second inner groove plate and the outer edge plate are distributed corresponding to baffles of the cabinet bodies, the limiting cover plate covers the adjacent cabinet bodies in a sealing mode, and the first inner groove plate, the second inner groove plate and the outer edge plate are combined pairwise to form mortise structures which are matched with the baffles on the adjacent cabinet bodies to be inserted into the corresponding mortise structures to be clamped. Therefore, the adjacent cabinet bodies can be conveniently fixed and limited, additional installation auxiliary tools are not needed, field installation is rapid, and a user can conveniently adjust the form of the combined cabinet body at any time according to the requirements of the home environment.

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.

The invention discloses a remote control household assistant robot based on artificial intelligence, belongs to the technical field of robots, and aims to solve the problems that in the carrying process of a robot, when the robot walks to an uneven area with an inclined plane, the robot tilts, so that rollover occurs, and the use experience is affected when peculiar smell left in the robot is not treated in time. The remote control household assistant robot comprises a robot body, an integrated controller is arranged on the robot body, electric push rods are symmetrically and fixedly installed on the two sides of the robot body, the output ends of the electric push rods are fixedly connected with mechanical arms, and a driving mechanism is arranged at the bottom end of the robot body. The intelligent shoe cabinet can automatically move to a designated position to assist people in picking up scattered shoes and objects, the shoes and objects are placed in the placing frame, space disorder caused by disordered placement of the shoes is avoided, the neatness and orderliness of the home environment are kept, meanwhile, unpleasant odor in the storage cavity can be eliminated, and the influence of peculiar smell is reduced.

The invention provides a sofa sound device integrating sound and intelligent control functions, and relates to the technical field of smart home. The left side and the right side of the sofa body are each fixedly provided with an armrest frame, and a penetrating groove is formed in the middle front portion of the interior of each armrest frame in a penetrating mode. The reverse rotation transmission process of the motor rotating shaft is carried out reversely, the rack frame vertically descends along the lifting sleeve, the protective shell integrally moves downwards, the top of the top circular plate is flush with the top of the armrest frame, the sound equipment body and the control panel are stored in the armrest frame through groove, the use requirement is met, the equipment can be hidden when the equipment is not used, and the space utilization rate is increased. The problems that the product only realizes simple installation of the sound equipment, lacks an intelligent control function and deep integration with the home environment, the sound equipment is exposed outside and is easily damaged by external force collision and lacks effective dustproof measures are solved; when the sofa is not used, the occupied space is large, and the overall attractiveness and the space utilization rate of the sofa are influenced.

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 central control system based on AI. The smart home central control system comprises a central control unit, an execution unit and a sensing unit, the central control unit comprises a user behavior analysis module which is used for analyzing the data collected by the sensing unit; the environment self-adaptive adjustment module is used for evaluating the home environment in real time in combination with the real-time data collected by the sensing unit; an equipment collaborative optimization module; a wireless communication protocol is supported, and meanwhile, an Ethernet interface is arranged, so that wired and wireless connection requirements of equipment in different scenes are met. According to the intelligent home central control system constructed by the invention, by virtue of multi-protocol fusion, an AI intelligent mechanism and the like, efficient compatibility of equipment, deep learning of user habits, precise adaptation to environment change, remarkable reduction of energy consumption and comprehensive improvement of intelligent home experience are realized.

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.

The invention relates to the technical field of smart home, and particularly discloses a smart home regulation and control method based on the Internet of Things, and the method comprises the following steps: S1, an environment sensing module collects environment parameters through a distributed sensor network; s2, a user behavior analysis module constructs a user behavior probability model based on historical operation data and real-time action recognition, and outputs a behavior preference weight; s3, the cloud decision engine generates an equipment control instruction set by fusing the environmental parameters and the behavior preference weights, and calculates regulation and control priorities; and S4, the equipment execution network drives the home equipment according to the instruction set, and optimizes the regulation and control parameters through a feedback mechanism. According to the smart home regulation and control method based on the Internet of Things, intelligent and automatic regulation and control of home equipment are achieved by means of the advanced Internet of Things technology and fusion of multiple modules such as environment perception, user behavior analysis, cloud decision and equipment execution, and a comfortable, convenient and safe home environment is created for a user.