39 results about "Home management" patented technology

The invention discloses an artificial intelligence home management system, which relates to the technical field of smart home and comprises a data acquisition module, a behavior analysis module, an environment sensing module, a cooperative control module and an energy consumption optimization module. According to the artificial intelligence home management system provided by the invention, through multi-source data fusion and cross-equipment collaborative decision, the intelligent management level of a home scene is remarkably improved, user behavior data can be deeply analyzed, a dynamic behavior model can be constructed, and a user habit mode can be accurately identified and predicted, so that the initiative and adaptability of equipment control are realized, and the user experience is improved. The system comprehensively senses environmental parameters, constructs an environmental state map, provides accurate environmental background information for a cooperative control strategy, ensures the accuracy of an equipment control strategy, combines equipment operation data with a user behavior scene, generates an energy consumption optimization scheme, ensures the comfort of a user, realizes high efficiency and energy conservation, and improves the user experience. And user privacy leakage is effectively prevented, and potential faults are early warned.

The system according to this embodiment aims to optimize the distribution of household tasks, taking into account the family's schedule and physical condition, and to achieve efficient household management. [Solution] The system according to the embodiment comprises a collection unit, an analysis unit, a generation unit, a task allocation unit, and an adjustment unit. The collection unit automatically imports each person's schedule in conjunction with the family's calendar. The analysis unit analyzes the importance of the schedules collected by the collection unit and reflects this in the prioritization of household chores. The generation unit automatically generates household chore tasks based on the results analyzed by the analysis unit. The task allocation unit optimizes the distribution of household chore tasks generated by the generation unit, taking into account the strengths and weaknesses of each family member, their schedules, and their physical condition. The adjustment unit readjusts household chore tasks in response to sudden schedule changes or illness.

A system is provided.SOLUTION: A system comprising: input means for receiving data of income, expenditure, and saving target input by a user; transmitting means for transmitting the data from the input means to a server; storing means for storing the data received from the transmitting means in a database in the server; analyzing means for analyzing the data stored in the storing means and generating optimum household economy management advice in the server; and notifying means for notifying the user of the household economy management advice generated by the analyzing means.SELECTED DRAWING: Figure 1

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.

1. The name of the design product: intelligent router (FTTR). 2. The use of the design product: the overall use of the design product is for AI interaction, smart home management, and real-time network coverage, intelligent voice control, home monitoring, and Internet of Things connection; the local use is the same as the overall use. 3. The design points of the design product: the shape of the product. 4. The picture or photo that best indicates the design points: Design 1, perspective view 1. 5. Design 1 is designated as the basic design. 6. Other circumstances that need to be explained: In Design 1, Design 2, Design 5, Design 6, the content shown by the dashed line does not constitute part of the design to be protected.

The system according to the embodiment aims to analyze a user's food expense data and provide suggestions for effective household management. [Solution] A system according to an embodiment includes a reception unit, an analysis unit, and a proposal unit. The reception unit receives food expense data from a user. The analysis unit analyzes the data received by the reception unit. The proposal unit makes proposals based on the analysis results obtained by the analysis unit.

1. Name of the design product: multifunctional robot. 2. Use of the design product: multifunctional household robot for daily household cooperation, emotional companionship and interactive entertainment, intelligent safety and emergency rescue, health monitoring and home management. 3. Design points of the design product: in shape. 4. Pictures or photos that best show 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 application discloses a thyroid nodule home intervention system and method based on AR navigation and DRL, relates to the technical field of thyroid nodule home management and intervention, and discloses a thyroid nodule home intervention system based on AR navigation and DRL, which comprises a client module, a cloud service module and the like. The client module is arranged on a user mobile terminal and is used for guiding the user to perform self-operation, collect data and receive feedback in a home environment. The cloud service module is connected with the client module through internet communication and is used for remote data processing, model operation and personalized intervention scheme management. Through the cooperation of multiple modules, an innovative system for thyroid nodule home management is constructed, that is, the AR navigation unit of the client is used to fit the facial feature points and the statistical shape model of the neck, so that the maximum error of acupoint positioning is 3mm, and the problem that acupoints cannot be accurately found in traditional home operation is solved.

Systems, apparatuses, and methods are described for a smart energy home. The smart energy home may promote optimization of consumption of electricity by appliances and other consumer devices. Prioritization of where and when electricity may be provided to various appliances, chargers, or other devices which draw electrical power may be managed by the smart energy home. Information concerning prevailing weather conditions and contemporaneous electrical tariffs may be utilized in processes executed by the smart energy home. Related systems, apparatuses, and methods are also described.

1. Name of the product in this design: Smart Router and its Main Body (FTTR). 2. Purpose of this design: This design is a smart home hub device based on a router. Its overall purpose is for AI interaction, smart home management, and to achieve network coverage, intelligent voice control, home monitoring and IoT connectivity; the partial uses are the same as the overall purpose. 3. The key design feature of this product is its shape. 4. The picture or photo that best illustrates the key design points: Design 1 3D diagram 1. 5. Design 1 is designated as the basic design. 6. Other situations requiring explanation: Design 7 is a partial design; the part indicated by the solid line is the part for which protection is sought, while the part indicated by the dashed line does not constitute part of the design for which protection is sought.

The invention relates to the technical field of smart nursing, and discloses a smart nursing home management system and method based on a cloud platform, and the system comprises a data collection module, a baseline modeling module, a dynamic evaluation module and an intervention recommendation module. According to the system, a baseline entropy vector representing the individual stable state of each old person is established for each old person by collecting multi-dimensional data. And dynamically calculating a real-time entropy vector, and comparing the real-time entropy vector with the baseline entropy vector to generate a steady-state deviation index so as to quantitatively evaluate the out-of-order risk of the life pattern of the elderly. The effectiveness is quantified based on the change of entropy values before and after intervention, a personalized intervention knowledge graph is constructed, and self-adaptive intervention recommendation is carried out when similar state deviation occurs in the future according to the personalized intervention knowledge graph. According to the invention, an evaluation focus can be converted from an isolated and occurred abnormal event to dynamic tracking of regular change of the overall life pattern of the old people, so that early and foresight identification of potential health risks is realized.

This invention discloses an intelligent terminal and early warning method for home management of dilated cardiomyopathy (DCM) in children, integrating multi-parameter monitoring, belonging to the field of intelligent health management technology. The method includes the following steps: establishing an electromagnetic event timeline in the home health monitoring environment; synchronously collecting and correlating electrocardiogram (ECG), blood oxygen saturation, and body movement signals according to a unified time reference to form an intelligent early warning baseline and generate a time anchor. This invention achieves synchronous correlation between multi-source physiological signals and interference by establishing an electromagnetic event timeline and time anchor, and dynamically rearranges sampling time to maintain signal continuity. Through a rhythmic breathing-type time control table and a dynamic interference isolation mechanism, the sampling rhythm is inversely coordinated with electromagnetic events, effectively improving the stability and accuracy of heart rhythm analysis and achieving intelligent early warning for dilated cardiomyopathy in children.

The invention relates to a home management method and system for a patient with hypertriglyceridemia acute pancreatitis, and belongs to the technical field of data analysis. The method comprises the following steps: acquiring auxiliary analysis data of the patient; forming multi-modal sequence data in a time dimension based on the auxiliary analysis data; encoding the multi-modal sequence data based on a time sequence Transform of an attention mechanism, and generating a multi-modal feature vector; inputting the multi-modal feature vector into a risk prediction model, and outputting a deterioration risk probability of the patient; and outputting the health guidance of the patient based on the multi-modal feature vector. The multi-modal data is captured through an attention mechanism, the risk probability is quantified according to the multi-modal data, the potential deterioration risk can be perceived in the early stage, the recurrence and illness worsening risks are remarkably reduced, the health guidance is generated based on the individualized features of the patient, the health guidance is more suitable for the actual life of the patient, and the patient experience is improved. And the management participation and compliance of the patient are further improved.

1. The name of the design product: smart home management graphical user interface of electronic equipment. 2. The use of the design product: an electronic device for controlling smart home and displaying graphical user interface of human-computer interaction. 3. The design points of the design product: the graphical user interface of the product. 4. The picture or photo that best indicates the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: through the operation of the user on the graphical user interface to realize the management of smart home. 7. The human-computer interaction mode of the graphical user interface: swiping left on design 1 front view, the device list interface can appear; design 2 front view displays the data collected by smart home device in the middle of the interface based on design 1 front view, and swiping left on design 2 front view, the device list interface can appear; swiping left on the interface displayed in design 3 front view, enter design 3 interface state change diagram; the data collected by smart home device is displayed in the middle of the interface of design 4 front view, and swiping left on the interface displayed in design 4 front view, enter design 4 interface state change diagram.

The invention discloses an intelligent home control method and system based on time sequence data driving. The method comprises the following steps: collecting operation state data and environment sensing data of equipment through wireless connection between an intelligent home control middle platform and the home equipment; the operation state data and the environment sensing data are stored and managed through a cloud database and are sorted according to timestamps; performing mode mining on the sorted operation state time sequence data and environment sensing time sequence data, extracting a user behavior mode, and storing the user behavior mode in a cloud database in a pattern form; when the state of the home equipment is changed or a specific task is executed, the http trigger calls a corresponding cloud function in the cloud function library through an http request mode, performs data access on data in the cloud database, retrieves a user behavior mode previously stored in the cloud database, and controls and manages new equipment according to the user behavior mode; more flexible equipment control and management are realized, and the comfort level and life quality of the user are improved.

Embodiments of the present disclosure provide a remote control device for a faucet, a control method, and a smart home management system, which belong to the field of smart homes. The remote control device includes: a control box including a water inlet and a first water outlet in communication with the faucet; and a remote control switch wirelessly connected to the control box and configured to send a first remote control instruction to the control box in response to a first set signal, to control the first water outlet to be opened or closed. According to the technical solution, the remote control device for a faucet in the present disclosure can be applied to various scenes, and an existing mechanical faucet can be easily upgraded to a sensor faucet.

The invention relates to the technical field of smart home, and provides a nursing bed and a smart home management system.The nursing bed comprises a nursing bed body, and the nursing bed body comprises a bed board and a smart screen; the bed board is provided with a plurality of independent supporting parts, and a pose sensor is arranged in each supporting part and used for collecting real-time pose data of the body part of a user; the intelligent screen is fixedly installed on a guardrail of the nursing bed body and is in wireless connection with the intelligent household equipment. The system comprises a signal receiving module, an instruction determining module and an equipment control module. The signal receiving module is used for receiving pose sensor data; the instruction determination module is used for converting the attitude data into a first control instruction according to a preset mapping rule; the device control module is used for controlling at least one smart home device in a linkage mode according to the first control instruction, and the same device executes differentiated actions under different posture data.

The application discloses a kind of multi-sensor pet home management system and method based on artificial intelligence, it is related to pet home management technical field, the method is in view of the problem that prior art cannot distinguish device itself abnormality and external temporary interference leads to response abnormality, realizes intelligent management by the following steps: first, execute interactive action and collect initial data, if below threshold value then enter delay verification process, collect secondary data after pet attention dispersion period to carry out preliminary abnormality attribution;Only when initially judged that device interactive function is abnormal, start cross-validation process based on historical interaction data and environmental state record to review;Only after review confirms that device itself is abnormal, calculate and update device interaction parameter;Finally, according to the feedback of updated interaction effect, the interactive expected threshold value and attention dispersion period parameter of the system are adaptively optimized.

The application relates to an intelligent home management method and system based on artificial intelligence, which comprises an intelligent home platform and multiple intelligent home devices. The intelligent home platform intelligently judges the working modes of the intelligent home devices based on an artificial intelligence model in a multi-user scenario, so as to meet the requirements of different users as much as possible.

The invention discloses a control method and device of cleaning equipment, electronic equipment and a storage medium, the control method of the cleaning equipment is applied to a smart home management platform, and the control method of the cleaning equipment comprises the following steps: acquiring physiological state information of a user; the physiological state information indicates that the current behavior state of the user is a first preset state, and determining a first target working mode corresponding to the first preset state; and controlling the cleaning equipment to work based on the first target working mode. According to the control method of the cleaning equipment, the working mode of the cleaning equipment corresponds to the current behavior state of the user, the working mode of the cleaning equipment can be adaptively adjusted according to the behavior state of the user, and user requirements are better met.

The present disclosure generally relates to a modular home management device More particularly, the present disclosure relates to the modular home management device for maintaining the air quality of the user's environment based on environmental parameters and vital parameters. In an embodiment, the modular home management device monitors the performance of the air comfort appliances and maintains the air quality of the user's environment based on the environmental parameters and vital parameters. This enables maximizing user health and comfort.

The embodiment of the invention provides a remote control device and a control method of a faucet and a smart home management system, and belongs to the field of smart home. The remote control device comprises a control box which comprises a water inlet and a first water outlet communicated with the faucet; the remote control switch is in wireless connection with the control box and responds to the first setting signal to send a first remote control instruction to the control box so as to control the first water outlet to be opened or closed. By means of the technical scheme, the remote control device of the faucet can be applied to various scenes, and an existing mechanical faucet can be easily upgraded into an induction type faucet.

Embodiments described herein include systems and methods for providing a management interface for controlling multiple households. The management interface may be provided as an application on a mobile device or as an Internet webpage. An example implementation involves a device displaying representations of: a plurality of households; an indication of a selected household; one or more zones within the selected household; and a representation of media being played by a selected zone of the one or more zones. While displaying the representations, the device receives, from a server, data indicating updated information associated with the plurality of households; and, in response, updates the graphical display to display at least an updated representation of media being played by the selected zone.

Embodiments of the present application provide a smart home management method, device and equipment, and a storage medium, wherein the smart home management method comprises: obtaining an instruction conversion table and a function configuration table of a smart home device, the instruction conversion table comprising a conversion relationship between a thing model and a device control instruction established for a control function, and the function configuration table being used to indicate a support condition of the smart home device for a preset sub-function in the control function; sending the instruction conversion table and the function configuration table to the smart home device; obtaining a confirmation result of the function configuration table sent by the smart home device; and drawing a panel interface for controlling the smart home device according to the confirmation result. The embodiments of the present application can conveniently and quickly realize the drawing of the panel interface corresponding to each type of smart home device, without the need to develop the panel in advance for each type of smart home device, thereby helping to reduce the workload of the development, testing and maintenance of the panel corresponding to the smart home device.

The present application relates to a kind of intelligent home access control system and method based on blockchain technology, the present application will Hash-SHchain be combined with IPFS, data is stored in IPFS system, and it is indexed using hash value in Hash-SHchain;It also uses the consensus mechanism of PoW and PoS combination, in this mechanism, home administrator is scored according to the service provided by visitor, the comprehensive score result of visitor is used as PoS equity, the difficulty of PoW is determined by the equity of PoS, can prevent node is continuously selected as participating node. Further optimize the symmetric key for encrypting data, wherein the administrator uses multiple access personal keys to generate the final encryption key. Compared with the prior art access control method, the present application can ensure that all data cannot be tampered with or denied, prevent unauthorized access to devices by visitors, and avoid leakage of access personal keys.

Embodiments of the present application provide a smart home management method and device, electronic equipment and storage medium, relating to the technical field of smart home, the method comprises: the edge device obtains the first device data of the smart home device, and analyzes and processes the first device data to obtain the first visualization data corresponding to the smart home device;The AR device receives the first visualization data sent by the edge device, displays the management interface corresponding to the smart home device in the augmented reality scene according to the first visualization data, and acquires operation data corresponding to the control operation in response to the control operation for the smart home device;The edge device analyzes the operation data, generates the target control instruction for the smart home device, and sends the target control instruction to the smart home device;The smart home device executes the device operation corresponding to the target control instruction, thereby ensuring the control real-time and control efficiency of the smart home device, and reducing the control difficulty.

1. The name of the design product: storage rack (1-1). 2. The use of the design product: the design product is used for indoor kitchen, bathroom, etc., and the hook rack of the hanging object in the cabinet, such as wardrobe, home management cabinet, etc. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: design 1 perspective view 1. 5. Design 1 is designated as the basic design.

The utility model discloses an intelligent household management system and device compatible with automobile charging management. The intelligent household management system comprises a master control module, a monitoring module, a scheduling module, a charging module and a communication module. The monitoring module comprises an electric energy state monitoring unit, a connection state detection unit and a charging metering unit, the state detection unit is connected with a household power supply circuit and an automobile charging power supply circuit, and the connection state detection unit and the charging metering unit are connected with the automobile charging power supply circuit; the charging module is connected with a household power supply circuit and an automobile charging power supply circuit, a switch isolation unit and an electric energy distribution unit are arranged in the charging module, the switch isolation unit controls the on-off state of electrical connection between the household power supply circuit and the automobile charging power supply circuit, and the electric energy distribution unit is connected with the dispatching module. According to the utility model, intercommunication between intelligent home management and automobile charging management is realized, more convenient and safer automobile charging management service is provided for new energy automobile users, and the use experience of the new energy automobile users is optimized.