55 results about "Home management" patented technology

The invention provides a smart home management method and system based on the Internet of Things. The method comprises the steps that indoor and outdoor environment parameters, user physiological data, home equipment operation states and energy consumption data are collected; based on the data, learning behavior preferences of the user in different time and environments, and establishing a personalized behavior prediction model; deploying the model at an edge computing node, combining big data analysis of a cloud server to form a hierarchical intelligent decision-making architecture, and outputting a preliminary decision-making result; the real intention of the user is understood and an intention confidence evaluation mechanism is established; when the consistency of the identification results of the multiple modes is lower than a threshold value, confirmation is actively carried out on the user, and a primary intention is obtained; according to the intention, a control strategy is dynamically generated in combination with the environment state and the equipment capacity; and based on the operation data and the energy consumption data, establishing an equipment health degree evaluation model, and predicting a fault risk and a maintenance demand. Through the scheme of the invention, the intention of the user can be accurately identified, and accurate personalized services are provided, so that the user experience is improved.

The invention discloses a multi-scene linkage smart home lamp cloud collaborative management system and method, and particularly relates to the technical field of smart home management, and the method comprises the following steps: collecting operation parameters of a low-power-consumption Bluetooth communication link, and generating an interference judgment value through a machine learning model, so as to judge whether electromagnetic interference exists or not; and if interference is detected, calculating an interference intensity index and an influence breadth index, and classifying interference levels through a logical reasoning model. According to the interference level, a communication link is optimized or switched to a cloud collaborative link, stable communication, state synchronization and instruction execution of the system in multi-scene linkage are ensured, and the control reliability of the smart home lamp is improved; through real-time interference judgment and dynamic link optimization, the communication stability of the smart home lamp system in a complex environment is improved, timely execution and state synchronization of a control instruction are ensured, and high efficiency and reliability of multi-scene linkage control are realized in combination with cloud collaborative management.

The invention discloses a smart home control method, device and equipment and a medium, which can be applied to the fields of finance and medical treatment. According to the method, a heterogeneous sensor array is applied, multi-modal data are collected from an environment side and a user side, and the diversity of the environment and the actual requirements of users are captured. And based on the joint probability model, performing space-time fusion processing on the acquired multi-modal data to generate a joint state vector of the environment and the user, so that the system can understand the specific scene and situation of the user in real time. In combination with a user scene instruction and a joint state vector, an equipment control instruction set with priority is generated through a reinforcement learning decision engine, so that more intelligent operation logic is realized. According to the method, the use experience of the user in the smart home control process is remarkably improved, so that the smart home system can meet the personalized requirements of the user with higher flexibility and intelligence level, and humanized smart home management is realized.

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 invention discloses a chronic disease family oxygen therapy intelligent management method and system based on an IKAP theory, and relates to the field of chronic disease family oxygen therapy. Patient baseline data is collected through a structured questionnaire and comprises oxygen therapy knowledge reserve data, caregiver adaptability data and family environment adaptability data; and obtaining an initial oxygen therapy knowledge mastery score, a caregiver adaptability score and a home environment risk label based on structured questionnaire analysis. According to the invention, through the fusion of the IKAP theory and the intelligent technology, the upgrading of chronic disease family oxygen therapy from extensive management to precision, individuation and closed loop is realized, the health income of patients is guaranteed, the medical resource allocation is optimized, and the method has significant clinical value and social significance. The core logic can be migrated to family management of other chronic diseases, rapid adaptation can be achieved by adjusting a knowledge graph and monitoring indexes, and the method has wide popularization value.

To provide a household budget management technique capable of supporting expense plans of users.SOLUTION: A household budget management device includes: a recurring expense item acquisition unit 1 that acquires a unit price and a frequency of each recurring expense item; a first period expense item acquisition unit 2 that acquires a unit price of each first period expense item, where, when a period of a prescribed first period length is a first period, and expense items incurred by a user during each first period, the expense items other than recurring expense items, are first period expense items, the first period expense items include a first period expense budget amount, the budget amount relating to a total unit price of the first period expense items, defined therein; and a savings amount information display unit 5 that displays savings amount information, the information regarding the user's savings amount for one year calculated from the user's income information, the unit price and frequency of each acquired recurring expense item, and the unit price or first period expense budget amount of each acquired first period expense item, where the first period length is a period shorter than one year, and the first period includes a future period.SELECTED DRAWING: Figure 1

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.

The invention discloses a thyroid nodule home intervention system and method based on AR navigation and DRL, and relates to the technical field of thyroid nodule home management and intervention.The thyroid nodule home intervention system based on AR navigation and DRL comprises a client module arranged on a user mobile terminal and used for carrying out thyroid nodule home intervention on a thyroid nodule; the guiding module is used for guiding a user to perform self-operation in a home environment, collecting data and receiving feedback; the cloud service module is in communication connection with the client module through the Internet and is used for remote data processing, model operation and personalized intervention scheme management; according to the thyroid nodule home management system, an innovative system of thyroid nodule home management is constructed through cooperation of multiple modules, that is, the maximum acupuncture point positioning error is 3 mm through an AR navigation unit of a client by means of facial feature point fitting and a neck statistical shape model, and the problem that acupuncture points are not found accurately in traditional home operation is solved.

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.

To provide a household budget management technique capable of supporting expense plans of users.SOLUTION: A household budget management device includes: a recurring expense item acquisition unit 1 that acquires a unit price and a frequency of each recurring expense item; a first period expense item acquisition unit 2 that acquires a unit price of each first period expense item, where, when a period of a prescribed first period length is a first period, and expense items incurred by a user during each first period, the expense items other than recurring expense items, are first period expense items, the first period expense items include a first period expense budget amount, the budget amount relating to a total unit price of the first period expense items, defined therein; and a savings amount information display unit 5 that displays savings amount information, the information regarding the user's savings amount for one year calculated from the user's income information, the unit price and frequency of each acquired recurring expense item, and the unit price or first period expense budget amount of each acquired first period expense item, where the first period length is a period shorter than one year, and the first period includes a future period.SELECTED DRAWING: Figure 1

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 invention relates to a smart home management method and system based on artificial intelligence, the system comprises a smart home platform and a plurality of smart home devices, and the smart home platform intelligently judges the working mode of each smart home device based on an artificial intelligence model in a multi-user scene. And requirements of different users can be met as far as possible.

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 embodiment of the utility model provides a remote control device 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.

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 embodiment of the invention discloses a data processing method and device, a storage medium and electronic equipment, and the method comprises the steps: obtaining a home security video collected by at least one camera in a preset time period through a server, carrying out the event recognition processing of the home security video, and obtaining the event description information of at least one event, and performing event summarization processing on the event description information based on the event processing large model to obtain important event report information, and sending the important event report information to the terminal, so that the terminal displays the important event report information on the smart home management interface.