276 results about "Home environment" patented technology

The invention relates to the technical field of intelligent household appliances and man-machine interaction, and discloses an electric cooker anti-noise voice interaction system based on multi-mode perception and a control method, and the system comprises a multi-mode perception and collection unit which synchronously collects millimeter wave radar echo signals and acoustic signals; the signal preprocessing and feature extraction unit is used for extracting a user physiological vibration signal and a three-dimensional space position vector from the radar signal and extracting an acoustic energy envelope and a sound source direction vector from the acoustic signal; the time-space consistency verification unit and the voice gating and recognition unit are used for carrying out time synchronization verification by calculating the correlation between the physiological vibration signal and the acoustic energy envelope, and distinguishing real human voice from an environment false trigger source; meanwhile, space consistency verification is carried out by comparing the user direction of radar positioning with the sound source direction of acoustic positioning, so that non-target human voice interference is eliminated. According to the invention, the anti-interference capability and reliability of voice interaction in a real home environment are improved through double verification on a physical level.

The invention discloses environment-friendly cassava cat litter and a preparation method thereof, and belongs to the technical field of pet supplies, and the environment-friendly cassava cat litter is prepared from the following raw materials in parts by weight: 45-55 parts of cassava starch, 20-30 parts of cassava peel, 8-15 parts of corn starch, 8-12 parts of water hyacinth fiber, 5-10 parts of bamboo fiber, 2-4 parts of propolis and 1.5-3.0 parts of mussel mucin. The raw materials are subjected to step-by-step synergistic enzymolysis and step-by-step fermentation to obtain the environment-friendly cassava cat litter. According to the mode, natural raw materials are combined, and the preparation process of step-by-step enzymolysis and step-by-step fermentation is adopted, so that the antibacterial performance and water absorption performance of the cat litter are improved, the defecation comfort and cleanliness of pet cats are improved, sanitation and health of pets and family environments are guaranteed, meanwhile, the product can be completely degraded in the natural environment after being used, and the environment is protected. The cat litter does not generate permanent solid waste like bentonite and silica gel cat litter, and is very environment-friendly.

The invention relates to the technical field of smart home, and discloses a smart home environment alarm method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining initial perception data of a smart home environment, the perception data comprising at least two of environment data, security data, audio and video data, energy data and user data; determining at least one abnormal event in the smart home environment according to the initial sensing data, and performing cross verification on the abnormal event to obtain a verification result; and generating corresponding alarm information based on the verification result, and executing a pushing operation of the alarm information. The problem that an existing smart home alarm method is based on a single sensor or a static rule, lacks a cross validation mechanism of multi-modal data and is prone to causing a high false alarm rate is solved.

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 discloses a household energy centralized management method and device, electronic equipment and a storage medium. The method comprises the following steps: collecting real-time observation data of a family environment to construct a multi-dimensional context feature vector; generating a dynamic state transition probability matrix and emission parameters of the hidden Markov model through a dynamic parameter mapping mechanism, and calculating initial posterior probability distribution of a family activity state by using a forward algorithm; when the information entropy of the probability distribution exceeds a threshold value, executing an active state exploration strategy, issuing an optimal perturbation instruction and correcting a posterior probability based on an active response observation evidence so as to determine a final family activity state; and based on the state loading control constraint set, solving a real-time optimization objective function containing energy efficiency and comfort penalty, and generating an equipment control instruction. According to the method, the uncertainty of state judgment is reduced by combining a dynamic model and an active exploration mechanism, and household energy cost optimization is realized on the premise of ensuring comfort.

The invention discloses a smart home control method and system based on graph retrieval enhanced generation and multi-agent gaming, and the method comprises the steps: constructing a basic knowledge graph based on a current smart home environment, carrying out the semantic enrichment of service entities in the basic knowledge graph, generating an enhanced knowledge graph, and storing the enhanced knowledge graph in a vector database; constructing an example library containing a plurality of formalized observation-logic hypothesis pairs; acquiring a situation snapshot of the user, and outputting a structured scene analysis report based on the situation snapshot and the vectorization database through a front-end LLM; collaborative review is carried out by combining a factor-tracing reasoning agent, a user preference agent and a conflict detection agent with a scene analysis report and an example library, and a final decision is output by a core decision LLM and mapped into an equipment control instruction to call corresponding equipment for execution. According to the method, the fuzzy instruction of the user is combined with the knowledge graph, so that the intention recognition accuracy is improved; the multi-agent parallel auditing mechanism improves the robustness and safety of decision making.

The invention discloses an intelligent home environment monitoring and linkage system and method based on multi-parameter fusion, and relates to the technical field of home environment monitoring, and the method comprises the following steps: S1, collecting environment data in different directions through a monitor; s2, judging the type of a pollution scene according to the difference value of the pollution indexes in all directions; s3, in combination with pre-stored indoor environment layout information, corresponding pollutant traceability analysis is executed; s4, generating and executing an intelligent linkage instruction according to the pollution scene type and the pollutant traceability judgment result; and S5, verifying a linkage effect and adaptively adjusting a subsequent monitoring strategy or a linkage instruction. Through fusion calculation of directional sampling and a multi-parameter sensor, directional traceability of the pollution source is realized, so that a user can intuitively and quickly position the pollution source, the limitation that in the prior art, only alarming can be performed, and positioning cannot be performed is fundamentally changed, and a key basis is provided for taking efficient and accurate treatment measures.

The invention relates to the technical field of smart home, and discloses an identity recognition method, which comprises the following steps: preprocessing original data acquired by a low-resolution radar and an inertial measurement unit, and respectively generating a radar state vector and an inertial measurement state vector; performing matching degree calculation on the radar state vector and the inertial measurement state vector with a pre-constructed identity vector library; when the matching degree calculation result meets a preset cross-modal feature fusion condition, carrying out fusion processing on the radar data features and the inertial measurement data features; and performing user identity recognition based on fusion features obtained through fusion processing. According to the scheme, the accuracy of identity recognition is guaranteed, the strict requirements of a family scene for light weight and low cost are met, and stable and accurate multi-target identity recognition can be achieved in a dynamic family environment by fully utilizing low-resolution radar characteristics. The invention further discloses an identity recognition device and a computer readable storage medium.

The invention relates to the technical field of intelligent old-age care monitoring, and discloses a method for identifying abnormal behaviors of home elderly based on millimeter-wave radar and vision fusion, which comprises the following steps: S1, multi-modal data acquisition and privacy protection configuration: deploying a configurable sensing suite in a home environment of the elderly, comprising a millimeter wave radar, a visual sensor (infrared and visible light), environment sensors (doors and windows, water, illumination and ground vibration) and wearable equipment (such as a smart bracelet / chest card). According to the method and the system for identifying the abnormal behaviors of the home elderly based on millimeter-wave radar and vision fusion, all-around behavior monitoring is realized on the premise of guaranteeing the privacy of the elderly through multi-modal sensor fusion and a hierarchical privacy protection mechanism, and the millimeter-wave radar and the vision sensor are complementarily fused, so that the privacy worry of a pure vision technology is overcome, and the safety of the home elderly is improved. And the limitation of a single radar on complex behavior identification is solved, and meanwhile, a configurable sensing suite and a hardware-level privacy switch are adopted.

This invention discloses a multifunctional home robot, comprising: a robot body; a central control system disposed on the robot body, the central control system being configured to perform multimodal data fusion and intelligent decision-making; a multimodal sensing unit electrically connected to the central control system for collecting user physiological data, behavioral data, and environmental data; and a life-assistance execution unit connected to the central control system for performing various operational tasks in the home environment according to instructions from the central control system. This multifunctional home robot solves the problem of single-function home service devices by introducing a dual-core architecture of a "life-assistance execution unit" and an "adaptive physiotherapy execution unit." The robot can not only perform household chores such as floor cleaning and tidying up, but also provide professional physiotherapy services. More importantly, the central control system enables the scenario-based linkage between the two.

The invention relates to the field of deep learning, and discloses a heart failure patient home care intelligent monitoring method combined with deep learning, which comprises the following steps: continuously acquiring the heart rate, blood pressure, breathing and body movement states of a patient in a home environment; performing conjoint analysis of time and activity states on the data streams after priority sorting, and forming a dynamic health feature set in combination with historical health records of patients and environment variable information; comprehensively evaluating the dynamic health feature set by using a deep learning model, and identifying a potential abnormal mode of short-time change through the deep learning model; marking and grouping the physiological parameters and related behavior scenes corresponding to the candidate abnormal events, locally evaluating the current health state of the patient based on grouping information, and identifying a potential high-risk condition; and according to the local evaluation result and the overall health trend of the patient, generating real-time early warning and personalized nursing suggestions. The method has the advantage of improving the identification capability of short-time abnormity.

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.

The utility model relates to the technical field of foam, and discloses composite foam for household products, which comprises a surface layer, the bottom of the surface layer is sequentially provided with a first functional layer, a buffer layer, a second functional layer and a bottom layer from top to bottom, and the surface layer, the first functional layer, the buffer layer, the second functional layer and the bottom layer are laminated and compounded through hot melt adhesive films. According to the composite foamed plastic for the household product, through the arrangement of the surface layer, the first functional layer, the buffer layer, the second functional layer and the bottom layer, the functions of antibiosis, mildew prevention, heat insulation, sound insulation, buffering, water resistance, moisture resistance, skid resistance and the like can be integrated, so that the multi-dimensional requirements for comfort, safety, sanitation and the like in the household environment can be met, and the use experience of the household product is comprehensively improved; and meanwhile, the layers are laminated and compounded through the hot melt adhesive films, so that the combination is tighter, the layering phenomenon is effectively avoided, and the quality and the reliability of the product are improved.

The invention discloses a family life event atlas construction method and system based on cooperation of multiple intelligent computing engines, and relates to the technical field of knowledge atlas construction.The method comprises the steps that a family environment continuous audio stream is collected through an end side, effective fragments are screened through voice activity detection, and original audio is destroyed after acoustic feature vectors are extracted; and then a plurality of parallel intelligent calculation engines respectively recognize non-language environment sounds, emotion and voiceprint identities, semantics and potential intentions, a standardized family event object is generated through multi-modal fusion, the standardized family event object is stored in an independent research and development data warehouse of a time sequence + graph mixed framework, a family life knowledge graph is constructed, and finally graph changes are monitored through an inference engine, so that the family life knowledge graph is obtained. And actively triggering home equipment adjustment or pushing suggestions. According to the invention, active perception and semantic understanding of family events are realized, the risk of privacy disclosure is avoided, and the problems of passive response, data islands and privacy safety hidden troubles of the existing smart home are solved.

This application relates to the field of smart medical technology and discloses a method and system for monitoring medication adherence in patients during ovulation induction cycles. This invention significantly improves the accuracy and reliability of ovulation induction medication adherence assessment in complex home environments by deeply integrating the real physical boundaries of the human body, the mechanical rigidity constraints of instruments, and the fluid dynamics laws of porous media into a visual monitoring framework. Specifically, this application utilizes dynamic pixel physical mapping and biomechanical filtering technology to effectively eliminate the interference of lens distortion and physiological tremors, reconstructing a pure kinematic sequence. By using a finite state machine with dual boundaries of force application and limit, it accurately identifies and coherently processes the mid-process pauses caused by patients' fear of pain, completely solving the defect of traditional algorithms that are prone to logical breaks.

1. The name of the design product: ceramic fragrance bottle (flying gourd). 2. The use of the design product: used for containing liquid fragrance, and used for decorating home environment. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: perspective view.

1. The name of the design product: a household bipedal companion robot. 2. The use of the design product: a smart robot that can walk, move, interact with voice, and entertain and accompany in a household environment. 3. The design points of the design product: the overall shape of the product. 4. The picture or photo that best indicates the design points: perspective view.

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 invention relates to a preparation method of a marine cellular board, and belongs to the technical field of board processing. The problems that an existing plate is insufficient in moisture resistance, poor in sound insulation and heat insulation effect, prone to debonding between layers and the like in the damp and large-temperature-difference home environment are solved. According to the preparation method, cooperation of moisture prevention and light weight is achieved through the design of a gradient structure composite core material, low-viscosity resin and gradient air pressure are adopted to assist impregnation to promote filling uniformity, ultrasonic vibration is applied to an interface area, a bonding enhancer is injected to reinforce interlayer bonding, and the curing effect is optimized through a staged heating and pressurizing process. The marine cellular board prepared by the method has excellent moisture resistance, high sound insulation and heat insulation performance and stable mechanical strength, and is suitable for the household and building decoration fields of kitchen and bathroom cabinets, indoor partition walls, ceilings, door and window core materials, customized furniture and the like.

This invention relates to a system for identifying and managing abnormal behavior in the elderly based on smart elderly care terminal devices, specifically in the field of abnormal behavior recognition. By effectively fusing visual and radar information through cross-modal attention alignment, it overcomes the limitations of single sensors in complex home environments such as obstruction and low light, thereby improving the robustness of data acquisition. The adopted joint training paradigm of mask reconstruction and contrastive learning drives the model to learn general behavioral representations invariant to environmental disturbances, enhancing the model's generalization ability. Utilizing spatiotemporal graph modeling and prototype contrastive quantitative learning, it can accurately capture and distinguish subtle differences in movements, achieving high-precision, fine-grained abnormal behavior recognition. Through a teacher-student framework and a personalized adaptive update mechanism, the model can continuously adapt to the user's unique behavioral patterns and mitigate concept drift, ultimately significantly reducing false alarms and false negatives, providing reliable, long-term, and personalized safety monitoring for the elderly.

The utility model discloses a dehumidification rotating wheel core, which relates to the technical field of dehumidification rotating wheel core production and comprises a mounting frame, mounting plates are fixedly connected in the mounting frame at equal intervals, a wheel core body is arranged between the top and the bottom of each mounting plate, and the wheel core body and the mounting plates are mounted through bolts. The interior of the wheel core body is composed of a base layer, a first distribution layer, a first heat preservation layer, a second distribution layer and a second heat preservation layer, and every two of the base layer, the first distribution layer, the first heat preservation layer, the second distribution layer and the second heat preservation layer are fixed through adhesives. According to the wheel core of the desiccant rotating wheel, the two distribution layers and the two heat preservation layers are additionally arranged, so that the overall performance of the desiccant rotating wheel can be improved, and the stability and reliability of a system can be improved. Meanwhile, the improvements can bring higher energy efficiency and better environmental control, and the air conditioning system is suitable for air conditioning requirements of industrial, commercial and family environments.

The utility model provides an air supply pipe and an air conditioner, and relates to the technical field of air conditioners. Comprising an outdoor air supply pipe at least communicated with an air supply outlet of a main machine, an outdoor air return pipe at least communicated with an air return inlet of the main machine and a conversion air pipe assembly, the air inlet end of the conversion air pipe assembly is communicated with the outdoor air supply pipe, and the air return end of the conversion air pipe assembly is communicated with the outdoor air return pipe; the conversion air pipe assembly is provided with a first connecting end capable of being communicated with the first end of the indoor air outlet pipe and a second connecting end capable of being communicated with the second end of the indoor air outlet pipe. The air conditioner supplies air into a room through the indoor air outlet pipe, is suitable for the home environment and is good in fusion effect. And moreover, the indoor air outlet pipe is good in air supply effect, and the comfort of the air conditioner can be improved.

1. The name of the design product: household combustible gas detector (YA-310). 2. The use of the design product: for monitoring whether there is combustible gas leakage in the 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 application discloses a multi-modal emotional interaction device and method in a smart home environment, and relates to the technical field of multi-modal emotional interaction of smart home, and comprises a main body mechanism, the main body mechanism comprises a lamp shell, a closing cover is arranged above the lamp shell, a position control mechanism is arranged above the lamp shell, the position control mechanism comprises a projector displacement unit, the projector displacement unit is located above the lamp shell, and the projector displacement unit is used for accommodating and displacing the projector, so that the projector can be hiddenly installed and used, the multi-modal emotional interaction device in the smart home environment can extend, lift and reset the projector body by cooperation between structures, is installed on the lamp shell, saves the placement space of the projector body, realizes control on the position and action mode of the projector body, and is favorable for conveniently using the projector body in the case of saving space.

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.

The invention discloses a remote control robot system for home environment safety and housework, which comprises a remote terminal, a communication module and a robot body, and is characterized in that the robot body is provided with a control unit, and a wheel type chassis, a mechanical arm and an environment sensing assembly which are connected with the control unit; the trunk of the robot body is further provided with an auxiliary supporting device, the auxiliary supporting device comprises a supporting arm and a first driving unit connected with the control unit, one end of the supporting arm extends to the back side of the trunk, and the other end of the supporting arm extends to the front side of the trunk; a rotating shaft is horizontally arranged in the middle of the supporting arm and rotationally connected with the outer wall of the trunk. The first driving unit is connected with the supporting arm; the remote terminal is connected with the control unit through the communication module, the control unit is used for controlling the movement of the movable chassis and the mechanical arm according to the control instruction sent by the remote terminal, the movement instruction can be well completed, in the process, the robot body can be supported through the supporting arm, and the anti-falling and anti-sideslip capacity of the robot is improved.

The application relates to the technical field of smart home control, and discloses a control method and system for a smart home, which comprises the following steps: acquiring an event signal and a room topology relationship, and performing normalization processing on the event signal; performing judgment of a two-stage state machine according to the event signal and the room topology relationship, wherein the two-stage state machine comprises an entry-level state machine and a room-level state machine; the entry-level state machine judges an in-house state and an out-of-house state of a user, and the room-level state machine is triggered when the entry-level state machine judges that the in-house state is achieved; the room-level state machine judges a room where the user is located; a control instruction set is generated according to the room topology relationship, user feedback is acquired, and a control instruction is selected and executed from the control instruction set through a double-track mechanism according to a judgment result of the two-stage state machine and the user feedback, so that the control of the smart home is realized. The method has reliability, intelligence and expandability, can realize long-term stable operation in an actual home environment, and has outstanding application value.

The invention discloses a breathing and oxygen generating dual-purpose machine, and relates to the technical field of auxiliary medical equipment. A breathing and oxygen generating dual-purpose machine comprises a shell, a sectional type touch display screen, an upper layer breathing machine, a humidifying box, an air filter and a lower layer oxygen generator, the sectional type touch display screen is installed on the inclined upper portion of the shell in an embedded mode, the upper layer breathing machine, the humidifying box and the air filter are arranged on the upper portion of a partition plate, and the lower layer oxygen generator is arranged on the lower portion of the partition plate. The side face of the humidifying box is connected with a telescopic gas output pipe. The all-in-one machine highly integrates the dual-core treatment function, the complexity of externally connecting an oxygen bottle and multiple equipment pipelines is omitted, space is saved, and the all-in-one machine is adaptive to the family environment; a finger pulse oxygen monitoring and closed-loop feedback system is built in, so that the oxygen concentration can be accurately adjusted to guarantee the treatment safety; smooth upgrading from oxygen therapy to oxygen therapy and respiratory support is supported, and waste caused by repeated purchase of machines is avoided; a unified control interface reduces the learning and operation cost and improves the compliance; compared with purchase of two devices, the device is more economical and has outstanding cost performance.

This invention relates to a self-learning method and system for home environment regulation based on multimodal feedback and scene awareness. The method collects the user's physiological characteristics and body movement signals through non-contact sensing devices to identify the user's current activity scene. The system integrates the user's explicit intervention operations with implicit comfort feedback based on physiological stability, dynamically assigning fusion weights for explicit and implicit feedback according to the activity scene to generate target feedback labels. An online incremental learning algorithm is used to update the local environmental control model, and a privacy-preserving model aggregation is performed in the cloud through a federated learning mechanism. This invention solves the problems of traditional home control relying on single commands and lacking physiological feedback mechanisms, achieving intelligent closed-loop control that balances user privacy and personalized comfort.