205 results about "Home control" patented technology

The invention belongs to the technical field of intelligent home control, and particularly relates to an electric blanket intelligent temperature control system, which analyzes the matching relationship between the heating power and the temperature response in the historical operation cycle of a plurality of independent subareas of an electric blanket, fuses the thermal coupling effect between the subareas, and independently quantifies the dynamic thermal inertia parameter of each subarea. Based on the independent temperature change trend and the real-time temperature deviation of each partition, a control state including a steady state, a transient state or a strong compensation state is decided and maintained for each partition, the dynamic thermal inertia parameter, the real-time temperature deviation and the current control state are integrated, differentiated feed-forward compensation amounts are generated and superposed to the output of a PID controller of the corresponding partition, and the control state of the corresponding partition is calculated. A final power control instruction is generated after amplitude limiting and smooth filtering, temperature response lag caused by thermal inertia is actively predicted and counteracted, precise control is achieved in combination with partition state recognition, and the system response speed and control stability are remarkably improved.

The invention relates to the technical field of smart home, and discloses a smart home control method and device for realizing user interaction based on a smart mirror, and the method comprises the steps: confirming a plurality of user registration instructions, obtaining a registration voice stream based on the user registration instructions, carrying out the feature extraction of the registration voice stream, obtaining reference voiceprint features, summarizing the reference voiceprint features, and carrying out the collection of the reference voiceprint features. The method comprises the following steps: obtaining a plurality of reference voiceprint features, confirming to receive a pre-confirmed voice wake-up word, carrying out voice collection based on the voice wake-up word to obtain a user voice stream, obtaining a voiceprint label by using the user voice stream and the plurality of reference voiceprint features, carrying out voice analysis on the user voice stream to obtain a control instruction, and sending the control instruction to a server. And performing permission verification by using the voiceprint tag and the control instruction to obtain a permission verification result, and obtaining response feedback based on the permission verification result. According to the invention, the problem that the personalized intelligent service cannot be provided because the current user identity cannot be distinguished and the control authority cannot be verified according to the user identity in the smart home interaction scene can be solved.

The invention relates to a smart home equipment control method and system based on QUIC point-to-point communication, and belongs to the technical field of smart home control, and the control method comprises the steps: receiving a natural language instruction of a user terminal, and carrying out the analysis to obtain a target equipment identifier and an operation intention description text; retrieving a pre-constructed equipment registry according to the target equipment identifier, and obtaining a corresponding cue word template and a QUIC connection address; calling an artificial intelligence model deployed locally, and outputting a structured equipment control instruction in combination with the operation intention description text and the cue word template; performing signature encryption on the structured equipment control instruction, establishing a QUIC end-to-end encryption transmission channel between the user terminal and the target equipment, and transmitting the QUIC end-to-end encryption transmission channel to the target equipment; receiving operation response data fed back by the target equipment after the target equipment verifies and executes the structured equipment control instruction; the device registry is dynamically optimized based on the operational response data. According to the invention, the risk of cloud service privacy leakage can be reduced, and the data security of the smart home system is improved.

The invention relates to the technical field of voice recognition intelligent home control, and discloses a non-specific person voice recognition intelligent switch control method and system based on deep learning. The non-specific person voice recognition intelligent switch control method is applied to intelligent switch control equipment, and specifically comprises the following steps of S101, receiving original audio signals continuously collected in a to-be-controlled environment, and preprocessing the collected original audio signals, and then a starting point and an ending point of an effective voice segment are positioned by adopting endpoint detection based on a double-threshold method and combining the characteristic parameters of the short-time energy and the short-time zero-crossing rate. A multi-layer hidden layer structure with Dropout regularization is adopted in a neural network model, the generalization ability of the model is enhanced, a context sensing mechanism is introduced into a semantic understanding module, a composite instruction containing azimuth information can be intelligently analyzed, crossing from recognition to understanding is achieved, and the method has the advantages of being high in practicability and easy to popularize. The system is ensured to maintain a high recognition rate for voice instructions of different users under different environment conditions.

The invention relates to the technical field of smart home control, and particularly discloses a smart home central control system and method based on multi-mode perception, and the system comprises the steps: synchronously collecting a voice audio signal, a gesture image signal, an infrared thermal imaging signal and a millimeter wave radar signal through a plurality of groups of sensors; performing blind source separation processing on the voice and gesture signals, extracting a voice command component and a gesture action component which are independent in statistics, and performing space-time alignment and Kalman filtering fusion on the infrared and radar signals to generate a dynamic environment sensing graph; voice intention features, gesture track features and environment anomaly features are extracted through Mel frequency cepstrum coefficient analysis, skeleton key point tracking and multi-level convolution processing; constructing a three-dimensional decision matrix based on the features, performing weighted evaluation through a fuzzy logic rule base to generate a control instruction priority sequence, and dynamically adjusting an equipment operation mode according to the priority; according to the invention, the problems of control conflict and response delay caused by multi-mode signal coupling are solved.

The invention discloses a brain-computer interface interaction control device and method based on multi-mode brain signal fusion. The device comprises a perception acquisition layer, an edge processing layer, a fusion decoding layer, a control application layer and a closed-loop optimization cloud platform. The sensing acquisition layer synchronously acquires multi-modal brain signals; the edge processing layer adopts a condition alignment time sequence diffusion model to carry out signal enhancement and completion; the fusion decoding layer realizes multi-modal feature fusion and intention decoding through a lightweight graph neural network; the control application layer provides adaptive control mapping and multi-mode feedback; and the closed-loop optimization cloud platform realizes continuous performance optimization through federated learning and incremental learning. According to the method, the problems of single signal, insufficient precision and poor practicability of a traditional brain-computer interface are effectively solved, the decoding precision, the real-time performance and the individuation degree of the system are remarkably improved, and the method can be widely applied to the fields of intelligent home control, medical rehabilitation training, industrial control and the like.

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 is suitable for the technical field of smart home control, and provides a skill generation method, control equipment and a control system for an intelligent agent with a body. The method comprises the following steps: acquiring a first behavior sequence formed by interaction events of a user and smart home equipment in a first time period; performing multi-dimensional mining on the first behavior sequence, and mining a plurality of behavior modes; for any behavior mode, generating a corresponding skill package based on the behavior mode; and when a trigger source is detected, the intelligent agent controls the corresponding smart home equipment to execute corresponding actions according to the generated skill packages. According to the invention, behavior modes can be mined from multiple dimensions, complex behaviors can be understood, and self-adaptive smart home personalized services can be realized.

The utility model discloses an intelligent household control switch and socket integrated structure, which comprises a socket shell and an intelligent household control switch shell, the socket shell is provided with a fixing assembly and an ejection assembly, the top of the socket shell is provided with a connecting groove, the inner wall of the connecting groove is provided with a rotating groove, and the rotating groove is provided with a rotating shaft. A connecting rod is fixedly mounted at the top of the smart home control switch shell, rotating shafts are fixedly mounted on the outer walls of the two ends of the connecting rod, the rotating shafts are rotatably mounted on the inner walls of the rotating grooves, the fixing assembly comprises a plug pin, and a pull rod and a first spring rod are fixedly mounted on the lower surface of the plug pin; the pull rod penetrates through a through hole formed in the bottom of the socket shell, a groove is formed in the bottom of the socket shell, and a spring groove is formed in the inner wall of the groove. Through the above structure, the integrated structural design of the intelligent household control switch and the socket is effectively realized, the waterproof effect on the socket is also realized, and the use effect is good.

The invention discloses a smart home control method and device, electronic equipment and a storage medium, and relates to the technical field of transmission and bearing, and the method recognizes feature information based on a radar module, and controls a smart home system to execute a target program according to the feature information. Wherein the feature information comprises at least one of action information, quantity information, movement track information, breathing and heartbeat information and posture information of the target feature, and the target program and the feature information have an association relationship. Through application of the technical scheme of the invention, perception without external terminal or voice dependence is realized through the radar module, multifunctional control of the smart home can be realized, the control difficulty of the smart home is reduced, sensitive information such as a human face does not need to be collected, convenience, functional diversity and user privacy are considered, and thus the use experience is improved.

The invention discloses a smart home multi-device linkage power utilization control method based on MOS tubes, and belongs to the technical field of smart home control. The digital processor is used as a core, the built-in numerical control module and the data processing unit are matched, the on-off state of the MOS tube is accurately regulated and controlled in combination with a program control algorithm, fine management of power utilization parameters of intelligent household equipment is achieved, the limitation that traditional control response is lagged and poor in adaptability is broken through, rated parameters and real-time requirements of the equipment are dynamically matched, and the power utilization efficiency is improved. The optimal operation of equipment is guaranteed to prolong the service life, invalid energy consumption is reduced, a high-precision foundation is laid for multi-equipment cooperative linkage, the stability and energy efficiency of a system are improved, multi-scene linkage logic is preset by means of a logic state machine, and rapid switching and reliable execution of multi-scene linkage are realized by matching with an application selection switch of an MOS tube array structure. Scene requirements are automatically adapted, and through independent loop control, fault detection and standby loop design, the problems that linkage switching is tedious and the fault influence is large are solved.

The invention discloses a smart home screen localization control system and method based on edge computing, and belongs to the technical field of home equipment control. According to the method, a control network is formed by building a home scene edge computing node and a local control link of an intelligent home screen, the link transmission state is recorded, instruction behaviors are marked, a bimodal control feedback information set is generated, a pointing characteristic value is calculated based on the feedback set, instruction priority is evaluated, and a control sequence is output in sequence. The system correspondingly comprises a control link establishment module, a state recording module, a feedback set generation module, a priority evaluation module and a main control module. According to the invention, cloud dependence is reduced through localized link establishment, efficient instruction scheduling is realized through bimodal feedback and priority evaluation, the problems of response lag and unreasonable resource allocation of existing smart home control are solved, and the real-time performance and reliability of smart device control in a home scene are improved.

This invention discloses a unified whole-house smart control method based on StarFlash, belonging to the field of smart home control technology. By constructing a StarFlash Mesh network with lighting fixtures as relays through a central control module, it achieves automatic discovery, unified access, and collaborative scheduling of lighting fixtures, curtains, air conditioners, and sensors without a gateway. A local autonomous algorithm ensures uninterrupted connectivity even during network outages, allowing users to centrally manage all devices in the house through a single app. This invention solves the problems of incompatible protocols, poor coverage, multiple app switching, network outage failures, and difficulties in cross-device linkage in traditional smart home systems. It features high reliability, wide coverage, low latency, and easy deployment, making it suitable for smart control in various scenarios, including homes, businesses, and industries.

This application provides a method, device, electronic device, and storage medium for controlling home appliances. The method, applied in the field of smart home control technology, includes: receiving an input voice signal, converting the voice signal into text information, rewriting the text information according to N rewriting dimensions to obtain an initial text command, standardizing the initial text command to obtain a target text command, and finally controlling the target home appliance based on the target text command. This method can accurately parse user input commands and achieve precise control of home appliances.

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 provides a hotel smart home control equipment mounting base, which comprises a mounting seat, a fixing assembly is arranged on one side of the mounting seat, the fixing assembly comprises two mounting sleeves, mounting blocks are arranged in the two mounting sleeves, a U-shaped mounting frame is connected between the two mounting blocks, and the U-shaped mounting frame is connected with the mounting seat. A mounting plate is mounted on one side of the U-shaped mounting frame; and the multiple positioning assemblies are arranged at the four corners of the bottom of the mounting base correspondingly. According to the hotel smart home control equipment mounting base provided by the utility model, the two mounting sleeves and the two mounting blocks are arranged on one side of the mounting base, the U-shaped mounting frame with the mounting plate can be mounted on the surface of a wall in a fixed manner on a controller, the mounting can be performed according to the position of a wire holder, and meanwhile, the occupied desktop space is also reduced.

The application relates to a method for realizing visual smart home control based on distribution, which comprises the following steps: accessing a local area network, configuring a host name and a port number, starting a gateway device discovery service, and establishing communication between both parties; respectively establishing a message publishing and subscribing service framework; issuing a mutual publishing and subscribing message instruction; publishing a message instruction according to actual operation requirements, and issuing a device control instruction according to the subscribed message. The application also relates to a device for realizing visual smart home control based on distribution, a processor and a computer readable storage medium thereof. The method, the device, the processor and the computer readable storage medium for realizing visual smart home control based on distribution improve the use scene category of the smart home system, improve the use flexibility, and reduce the overall scheme cost. The user can flexibly increase the number of central control screens according to requirements, realizes rapid automatic connection and distributed control, and improves the user experience.

The application provides a smart home layered intention analysis and safe execution method and system and a storage medium, and relates to the technical field of smart home control. The method analyzes natural language into structured intention by constructing control context and home capability graph; adopts a layered mechanism to constrain retrieval candidate entities and calculate relevance score; performs risk scoring on control plan based on five dimensions of device risk level, control range, remote access state, time period and instruction conflict state, and adopts a hierarchical confirmation strategy; generates an execution graph and performs state checking, automatically reverts when a strong consistency scene fails; stores the correction result as personalized preference and sets a confidence decay rule. The application can significantly reduce the range of candidate devices, support contextual dialogue, control high-risk devices in stages, reduce the risk of miscontrol, ensure the consistency of complex scene execution, continuously improve the accuracy of alias recognition, and thus improve the efficiency, safety and user experience of smart home control.

The invention discloses a leakage-proof intelligent control water dispenser connector, and belongs to the technical field of intelligent home control. The device solves the problems that water leakage of a traditional water dispenser connector depends on manual handling, response lags behind, and water flow cannot be automatically blocked. The connector comprises a connection sensing unit which comprises a connector body, a sensor cover internally provided with a pressure sensor and a control block internally provided with a control chip. The execution unit comprises a main body structure with a cavity, an anti-explosion movable joint, a leakage-proof valve core and a gasket; and the driving unit comprises a stepping motor, a connecting rod and a coupling. The control chip receives signals of the pressure sensor and controls the stepping motor to drive the leakage-proof valve element to rotate through the coupler and the connecting rod, and therefore the water flow channel is automatically opened or closed. The joint is mainly used for a water inlet joint of a water dispenser, can monitor pressure change in real time and can be automatically turned off when water leakage is detected, intelligent control over water leakage prevention is achieved, water resources are saved, and use safety is improved.

The utility model relates to the technical field of intelligent home control systems, and discloses an intelligent dimming and color adjusting intelligent controller, which comprises a controller body, a battery cover plate is clamped on the bottom surface of the outer surface of the controller body, and a plurality of rubber pads are fixedly connected on the outer surface of the battery cover plate. According to the intelligent light and color adjusting intelligent controller, impact force can be buffered in the falling process of the controller body by installing the air bag, due to the fact that the weight of the bottom end of the controller body is larger than that of the upper end of the controller body, the posture of the controller body can be adjusted under the influence of gravity when the controller body falls, the air bag can make contact with the ground firstly and be matched with the communicating hole, and the buffering effect is achieved; meanwhile, resilience force generated after the air bag makes contact with the ground can be reduced, so that the protection capacity for the device body can be improved, a user can conveniently position the position of the device body through a mobile phone by installing a positioning module and a Bluetooth module, meanwhile, when the device body is positioned, two light bars can be turned on to warn the user, and the user can conveniently find and find the device body.

The invention provides a smart home control method and device, equipment, a medium and a product, and the method comprises the steps: obtaining heterogeneous data streams of a plurality of pieces of smart equipment, and obtaining a whole house feature vector based on the heterogeneous data streams, the heterogeneous data streams at least comprising operation parameters, state parameters and time parameters corresponding to each piece of smart equipment; key features in the whole house feature vectors are obtained, and a plurality of suspected target intentions and confidence coefficients corresponding to the suspected target intentions are obtained based on the key features and an intention inference model; and under the condition that the confidence coefficient corresponding to the suspected target intention meets a preset threshold value, generating an equipment control instruction according to the suspected target intention, and adjusting the corresponding intelligent equipment based on the equipment control instruction. According to the invention, by analyzing the multi-device and multi-dimensional behavior data flow, the core intention of the user is accurately deduced, and the most suitable device cooperation strategy is dynamically generated, so that non-inductive, intimate and personalized intelligent services are provided for the user.

1. The name of the design product: smart home control terminal (AI flexible screen). 2. The use of the design product: mainly used for remote control of smart home product information display and interaction, the design product can be used for automatic expansion and retraction of the screen according to different displayed content. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view. 5. Other circumstances that need to be explained: the design product has a flexible screen design that can automatically expand and retract.

System (100) for integrating ethical artificial intelligence for smart home systems using voice assistants, wherein the system (100) comprises: a speech interaction module (104) that is used to receive and is configured to process voice-based user commands; an analysis module (106) configured to interpret the processed speech commands based on context parameters; Ethics assessment modules (108-1) configured to make automated decisions regarding bias, Assess transparency and data protection; a smart home control module (108-2) configured to perform automated actions based on ethically evaluated decisions; and a monitoring module (110) configured to monitor system behavior and ensure ongoing compliance with predefined ethical standards.

1. Name of the product in this design: Graphical User Interface for Smart Home Control of Electronic Devices. 2. Purpose of this design: This design is mainly used for controlling smart home devices. 3. The key design features of this product are its graphical user interface content. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. Design 1 is designated as the basic design. 6. Purpose of the Graphical User Interface: Design 1 is the first similar design. The main view of Design 1 is the main interface in the homepage interaction state, which is in standby mode. The interface change diagram of Design 1 is entered by clicking "Living Room Spotlight" or "Living Room Light Strip" in the main view of Design 1, showing the screen when controlling the lighting controls. Design 2 is the second similar design. The main view of Design 2 is the main interface in the homepage interaction state, which is in standby mode. The interface change diagram of Design 2 is entered by clicking "25℃" in the main view of Design 2, showing the screen when controlling the air conditioner controls. Design 3 is the third similar design. The main view of Design 3 is the main interface in the homepage interaction state, which is in standby mode. The interface change diagram of Design 3 is entered by clicking "46%" in the main view of Design 3, showing the screen when controlling the curtain controls. Design 4 is the fourth similar design. The main view of Design 4 is the main interface in the homepage interaction state, which is in standby mode. The interface change diagram of Design 4 is entered by clicking "Bright Mode" or "Sleep Mode" in the main view of Design 4, showing the screen when in scene mode.

The invention relates to the technical field of remote temperature control, and discloses a remote wireless temperature control method and system based on the Internet of Things, and the method comprises the steps: obtaining the real-time positioning information of a target resident, and judging the travel state of the target resident based on the real-time positioning information and a preset resident travel table; when the travel state of the target resident is a home-returning commuting state, inputting the real-time positioning information of the target resident into a preset commuting mode evaluation model, and determining the exposed environment type of the target resident in each unit time period to generate an environment time table; acquiring weather information of the target resident in each unit time period to generate a weather time form, inputting the environment time form and the weather time form into a temperature sensing evaluation model, and evaluating a temperature sensing state of the target resident; generating corresponding temperature control information based on the temperature sensing state of the target resident and sending the temperature control information to a home control assembly so as to control each electric appliance to be subjected to temperature control; the temperature control effect of the smart home product can be improved.

This invention provides a method, device, remote control, set-top box, and furniture device for controlling home appliances, belonging to the field of smart home technology. The method includes: receiving a voice command input by a user; matching the voice command with an offline command dictionary to obtain a command word matching result; and, if the command word matching result is a match, outputting a first control command and status synchronization information. The first control command is used to instruct the target home appliance to perform an operation; the status synchronization information is used to instruct the control center not to output a second control command; the second control command is determined by the control center based on the semantic parsing result of the voice command. This invention enables voice control of home appliances even in a completely independent state without network access or connection to a control center, improving the success rate of home control, quickly realizing home control, and enhancing the user experience.

The invention relates to an intelligent home control method and system, intelligent equipment and a medium, and belongs to the technical field of artificial intelligence, and the method comprises the steps: generating a unique identifier based on own hardware behavior characteristics, carrying out the cross verification of environment data of peripheral intelligent equipment which is accessed to the network, autonomously establishing a trust relationship, and building a dynamic network without a central node; collecting user behavior data, environment characteristics and equipment capability data; processing the user behavior data, the environment characteristics and the equipment capability data to obtain scene data fragments; autonomous evolution of scene data is realized through distributed collaborative learning, and intelligent control logic adaptive to a current scene is formed; and responding to an instruction sent by a user, cooperatively verifying the intention of the user with other intelligent equipment, and matching the corresponding scene data fragment to execute a control operation. The stability of the smart home is improved.

The present application relates to the technical field of home control, in particular to a smart home controller and method based on adaptive control technology, which comprises a collection and processing unit, an analysis and modeling unit, an adaptive unit, an optimization and prediction unit and an execution control unit; the optimization and prediction unit receives collected data, collected data after preprocessing, preprocessing data after analysis and modeling and data after adaptive adjustment to make optimization decisions, and intelligently predicts according to the collected data and the data after optimization strategy; the present application can intelligently predict future environmental changes and user behaviors, thereby adjusting the control strategy in advance, adjusting the air conditioner temperature in advance according to the user's work and rest rules and outdoor temperature, predicting that the user will not return home for a long time according to the user's positioning information and moving direction and speed, and turning off the air conditioner, lights and the like by using the execution control unit, which not only prepares a comfortable indoor environment for the user in advance, but also reduces energy waste.