420 results about "Smart appliance" patented technology

The invention discloses a temperature control management method for an electric oven, and relates to the technical field of intelligent household appliance control, and the method comprises the steps: carrying out the offset correction of a pre-stored mode mapping table based on a calibration matrix, loading a target temperature interval and a three-dimensional temperature field partition parameter according to a cooking mode selected by a user, and triggering a dynamic learning mark; according to the dynamic learning mark, the furnace chamber temperature and the environment temperature change rate are collected in real time, the power compensation amount is calculated through a thermal inertia compensation model, and a partition power control matrix is generated in combination with the three-dimensional temperature field partition parameters; and distributing the power compensation amount and the partition power control matrix to the heating pipe according to a preset topology, dynamically adjusting power output, and implementing temperature early warning and no-load identification based on an acoustic emission spectrum entropy value. The temperature gradient change rate is calculated through the Fourier heat conduction law, the three-dimensional temperature field partition parameters are dynamically generated, and accurate control over the temperature field in the complex three-dimensional space is ensured so as to cope with environment changes and user demand changes.

The invention discloses an intelligent household electrical appliance interaction control system based on embedded software. A system operation process specifically comprises the following steps: acquiring a user input signal; analyzing the user input signal based on an embedded software architecture to generate a standardized control instruction; establishing communication connection with a plurality of intelligent household electrical appliances through an Internet of Things protocol, and obtaining real-time environment data and real-time operation states of the intelligent household electrical appliances; performing conjoint analysis on the user historical behavior data and the user input signal; adjusting operation parameters of the intelligent household electrical appliance; and returning interaction response information to the user through at least one mode of a voice feedback module, a touch interface, a gesture recognition interface or a mobile phone APP. The method has the following advantages and effects: multi-mode instructions can be adaptively fused, the equipment capability and the user intention can be dynamically matched, and cross-equipment and cross-protocol efficient and accurate control is realized through standardized instruction generation, real-time load sensing and priority dynamic calculation.

The invention provides an intelligent household electrical appliance type identification method and system based on a neural network, and relates to the technical field of intelligent household electrical appliance identification. The method comprises the following steps: acquiring electrical parameters of the household appliance in stable operation; cleaning the electrical parameters by using a mixed algorithm based on statistics and signal processing, and performing normalization processing on the cleaned voltage data and the cleaned current data; constructing voltage and current track curves, and combining the voltage and current track curves in the same two-dimensional plane coordinate system to form a track image; establishing a mapping relation between the power factor and an image pixel gray value, and based on the track image and the mapping relation, constructing a two-dimensional track image containing gray information corresponding to the operation state of the electric appliance; carrying out feature vector extraction on the two-dimensional track image containing the gray scale information; and performing electric appliance classification and identification based on the convolutional neural network model. According to the invention, the accuracy of electrical identification and classification can be improved.

The invention provides a smart home door and window control system, which is applied to the technical field of doors and windows, and realizes the combination of hardware and software of smart doors and windows through the integration of a door and window hardware structure and a control software structure. A signal acquisition module is arranged to be connected with an internal control end and an external port of the system to obtain user command information, door and window state information and external environment information; various standard data information is fused through the data processing module; and the data decision-making module executes weighted operation to generate control information, so that intelligent control on door and window hardware is realized. Therefore, the intelligent household door and window control system realizes the control function of intelligent electric door and window products and other whole-house intelligent household appliances, and has the advantages of unified communication protocol, realization of multi-source data fusion, improvement of control decision intelligence, enhancement of system security and privacy protection.

The invention belongs to the technical field of intelligent household appliances, and particularly relates to a wind speed control method, device and equipment of an intelligent household appliance and a computer storage medium. According to the method, the expiration temperature, the cold outlet temperature and the environment temperature of the intelligent household electrical appliance are obtained, and a first temperature relation and a second temperature relation are generated based on the expiration temperature, the cold outlet temperature and the environment temperature; acquiring a preset energy-saving condition of the intelligent household electrical appliance, and judging whether the first temperature relation and the second temperature relation meet the preset energy-saving condition or not; if the first temperature relation and the second temperature relation meet the preset energy-saving condition, the intelligent household electrical appliance is controlled to enter a wind speed adjusting mode, and the wind speed of the intelligent household electrical appliance is flexibly adjusted. According to the method, the control logic of wind speed regulation of the intelligent household electrical appliance is optimized, the noise generated when the intelligent household electrical appliance is used is reduced, intelligent regulation of the rotating speed of the fan is realized under the condition that the operation of the intelligent household electrical appliance is not influenced, the operation energy consumption of the intelligent household electrical appliance is reduced, and the use experience of a user is improved.

The embodiment of the invention provides a maintenance work order processing method and system, and relates to the technical field of intelligent household appliances. The method comprises the following steps: acquiring work order text information in maintenance work order data, extracting maintenance key information of the work order text information, matching at least one alternative maintenance personnel portrait according to the maintenance key information and all maintenance personnel portraits, and determining the maintenance personnel portraits according to the alternative maintenance personnel portraits and the maintenance key information. And respectively calculating a matching score of each alternative maintenance personnel portrait, and taking the alternative maintenance personnel corresponding to the alternative maintenance personnel portrait with the highest matching score as the push maintenance personnel. Therefore, accurate identification of maintenance requirements and automatic pushing of optimal technicians can be realized, and work order processing efficiency, distribution accuracy and after-sales service response speed are remarkably improved.

The embodiment of the invention is suitable for the technical field of intelligent household appliances, and provides an object grabbing detection method and device and self-moving cleaning equipment, the method is applied to the self-moving cleaning equipment, the self-moving cleaning equipment comprises a mechanical arm, and the method comprises the steps that a grabbing mechanism of the mechanical arm is controlled to execute object grabbing operation; collecting point cloud data in a preset range; wherein the preset range comprises and is larger than an activity area range of the grabbing mechanism, or the preset range comprises an area nearby the self-moving cleaning equipment; and whether the mechanical arm successfully grabs the object or not is determined according to the point cloud data. By means of the method, whether the mechanical arm grabs the object successfully or not can be detected, and therefore the working efficiency of the self-moving cleaning equipment is improved.

The invention relates to the technical field of intelligent household appliances, in particular to a dust collector automatic adjustment control method and system based on multi-source data. The method comprises the following steps: acquiring design data of the dust collector; extracting dust collector structure design data according to the dust collector design data; constructing a dust collector three-dimensional model based on the dust collector structure design data; identifying a ground material type according to the three-dimensional model of the dust collector to obtain carpet material data and tile material data; detecting a particle gas flow based on the carpet material data; identifying the dust coverage based on the tile material data; determining the dust concentration according to the particle gas flow and the dust coverage; extracting air duct structure data according to the dust collector design data; and performing filter screen blockage evolution simulation according to the dust concentration and the air duct structure data to obtain filter screen blockage data. According to the invention, the automatic cleaning path adjustment and obstacle avoidance control accuracy of the dust collector in a multi-material ground environment is improved based on an intelligent household electrical appliance technology.

The invention provides a household small electric appliance diagnosis system based on AR imaging and AI interaction, which relates to the technical field of intelligent household appliance intelligent diagnosis and comprises a multi-mode intelligent sensing framework, a modular AR detection accessory, an AI diagnosis analysis center and a human-computer interaction interface. According to the modular AR detection accessory, the sensor module is rapidly replaced through the magnetic type universal interface base, the requirement for collecting temperature, circuit, sound and other multi-mode data is met, the hardware adaptability is remarkably improved, the modular AR detection accessory has the functions of low power consumption and efficient power supply, a battery is arranged in the base, reverse wireless charging is supported, and the reliability is high. The problem of endurance of a high-power-consumption module is solved, a modular AR detection accessory is combined with an AR terminal through a magnetic type sensor module, fault three-dimensional coordinates are superposed on real equipment in real time, a user can visually check internal problem points, a mixed reality operation table supports gesture, voice and eye movement control, the operation threshold is lowered, and the operation efficiency is improved. According to the invention, the user is directly guided to carry out precise maintenance through the AR marking system.

The invention relates to the technical field of voice recognition and intelligent household electrical appliance control, in particular to an induction cooker control method based on voice recognition, which comprises the following steps: synchronously acquiring a voice signal and a lip motion signal, and generating multi-modal sensing data through timestamp alignment; performing cross-modal anti-noise processing on the data, and outputting a fusion feature tensor fusing acoustic and visual features; semantic analysis and danger instruction recognition are executed, and a risk filtering control instruction containing temperature / fire parameters is generated; calling a thermodynamic dynamic model to calculate a power control parameter based on the instruction parameter; converting a power parameter into a space vector modulation waveform to drive a load circuit, and synchronously collecting the pot bottom temperature; and triggering an anti-noise process and thermodynamic model parameter updating according to the deviation between the actual temperature and the target temperature. Noise interference is reduced through multi-modal signal cross validation, dangerous instructions are intercepted in combination with knowledge graph constraints, the noise suppression capability and the temperature control precision are continuously optimized, and the safety and reliability of voice control in a complex environment are improved.

The invention relates to the technical field of voice recognition, and discloses a voiceprint model training method, a user identity detection method and device, and an intelligent household electrical appliance, and the voiceprint model training method comprises the steps: carrying out the preprocessing of a voice signal, and extracting a mixed feature vector containing a static frequency spectrum feature and a time difference feature; training a Gaussian mixture model to be converged by adopting an expectation maximization algorithm based on the mixed feature vector; and outputting the special voiceprint model of the speaker. The voiceprint model obtained by training through the training method is used for user identity detection, and high robustness, high real-time performance and high accuracy of voiceprint recognition in a complex noise environment are achieved.

The embodiment of the utility model discloses a harmonic reducer, a mechanical arm and cleaning equipment, the harmonic reducer comprises a rigid gear, a flexible gear and an output part, and in the working process of the harmonic reducer, the output part can be connected to one of the flexible gear and the rigid gear to output power. The rigid gear of the harmonic reducer comprises the ring part, the flexible gear is meshed with the ring part, and the rigid gear is manufactured through the injection molding process, so that the ring part is manufactured through the injection molding process, the production cost and the weight of the rigid gear can be reduced, the cost and the weight of the harmonic reducer are further reduced, and application and popularization of the harmonic reducer are facilitated; particularly, the harmonic reducer can be conveniently applied to a movable intelligent household appliance, and the intelligent household appliance can move more flexibly while the transmission effect can be guaranteed.

The invention discloses a multi-device cooperative intelligent household electrical appliance control method, which belongs to the technical field of intelligent home furnishing, and specifically comprises the following steps: a household electrical appliance collects environment and self state data in real time, and when any device detects that the data exceeds a preset threshold value, a trigger message containing an event type code is broadcasted to a local area network; a device receiving the message calls a capability database, and a control parameter set containing operation instruction sequences of the device and associated devices is generated in combination with current environment parameters; the parameter sets are uploaded to a shared storage area, each device performs conflict detection on other parameter sets, and conflict marks and correction parameters are generated when output variables are monitored in a local simulation environment and a safety range is exceeded; two parameter sets with the least conflicts are selected according to the number of conflict marks to compare the difference, each device quantitatively scores according to a preset rule, finally the device with the highest score is selected as an execution scheme, and the device analyzes and executes a corresponding instruction; according to the invention, multi-device cooperative intelligent control is realized, and the efficiency and reliability of home environment regulation and control are improved.

The invention relates to the technical field of intelligent household electrical appliance production, and discloses an adjustable intelligent household electrical appliance clamping device which comprises a guide platform, an annular table plate for supporting household electrical appliances is jointly formed by the guide platform and telescopic frames, lifting columns are symmetrically arranged at the bottom end of the guide platform, a working table plate is arranged between the telescopic frames, and the working table plate is a main working table of the intelligent household electrical appliances. According to the adjustable intelligent household appliance clamping device, the arc-shaped sliding rail is in sliding fit with the first sliding trolley and the second sliding trolley, the telescopic function of the first double-section telescopic column and the telescopic function of the second double-section telescopic column are combined, flexible movement of the clamping assembly along an arc-shaped track is achieved, and the limitation of single-dimensional linear adjustment is broken through; the first transverse adjusting beam and the second transverse adjusting beam are of a three-section sliding connection structure and are matched with a double-section telescopic column to adjust the transverse distance, so that the device can adapt to intelligent household appliances with different sizes, complex curved surfaces and irregular shapes, and the multi-dimensional adjusting structure works cooperatively to improve the adaptability of clamping.

The invention provides an intelligent control method and system for the wind speed of an electric fan self-adaptive to the environment temperature, and relates to the technical field of intelligent household appliance control. The method comprises the steps that the average environment temperature is calculated based on a first temperature value, a second temperature value and a third temperature value, and meanwhile the wind speed correction value is combined; generating an initial wind speed gear parameter according to a preset temperature-wind speed mapping rule; superposing the wind speed correction value to the initial wind speed gear parameter to generate a final wind speed gear control parameter; converting the final wind speed gear control parameter into a motor rotating speed control instruction, and adjusting the rotating speed of an electric fan motor in real time; wherein the temperature-wind speed mapping rule meets the requirements that the wind speed gear is increased when the temperature is increased and the wind speed gear is reduced when the temperature is reduced. Through a closed-loop process of synchronous acquisition, real-time modeling and dynamic correction, temperature change is quickly converted into a motor rotating speed instruction, and intelligent control over the wind speed of the electric fan is achieved.

The invention discloses an intelligent household electrical appliance human engineering design optimization method and device based on a large model, and the method comprises the steps: collecting user motion and interaction data through a camera, a motion capture sensor and other devices, and extracting joint motion, operation frequency and other ergonomic features after time synchronization, coordinate calibration and noise cleaning; secondly, constructing a knowledge graph fusing anthropometry and biomechanics knowledge, performing graph embedding through graph convolutional network coding, and performing attention mechanism fusion with feature vectors; and then, training is carried out based on a large model of a Transform architecture in combination with ergonomic scoring constraints, and home appliance design parameters are optimized by using an evolutionary algorithm to generate a personalized scheme adapted to the height and operation habits of the user. According to the method, through cooperation of multi-modal data driving and domain knowledge, the comfort, accessibility and user adaptation precision of the intelligent household electrical appliance are remarkably improved.

The embodiment of the invention discloses a harmonic reducer, a mechanical arm and cleaning equipment, the harmonic reducer comprises a rigid gear, a flexible gear and an output part, and in the working process of the harmonic reducer, the output part can be connected to one of the flexible gear and the rigid gear to output power. The rigid gear of the harmonic reducer comprises the ring part, the flexible gear is meshed with the ring part, and the rigid gear is manufactured through the injection molding process, so that the ring part is manufactured through the injection molding process, the production cost and the weight of the rigid gear can be reduced, the cost and the weight of the harmonic reducer are further reduced, and application and popularization of the harmonic reducer are facilitated; particularly, the harmonic reducer can be conveniently applied to a movable intelligent household appliance, and the intelligent household appliance can move more flexibly while the transmission effect can be guaranteed.

The invention provides an ice making method and system, an intelligent electric appliance, a storage medium and a program product. The ice making method is used for the ice making device and comprises the steps that water quality parameters of ice making water are obtained, and the water quality parameters at least comprise a total dissolved solid value; determining target control parameters in the ice making process according to the water quality parameters; and controlling the ice making device to operate based on the target control parameter so as to form ice blocks. The method has the advantages that the water quality parameters are introduced to serve as the decision basis of ice making control, so that the ice making process can be adaptively adjusted according to different water quality conditions. According to the method, the fine control capability of the ice making process is improved, so that ice block products better meeting the expected quality can be obtained, and the consistency and stability of the ice making effect are improved.

The invention relates to the technical field of intelligent household appliances and control, and discloses a temperature regulation and control system and method of an intelligent direct drinking machine. The system comprises a main control chip which is internally provided with a user behavior learning module, a diagnosis module and a prediction control module. The method comprises the following steps: collecting, clustering and analyzing historical water consumption data, and establishing a user portrait reflecting user habits; performing look-ahead diagnosis based on the portrait, and actively measuring and calculating the efficiency attenuation rate of the heating module caused by aging or incrustation; the future water demand is predicted in combination with the user portrait, and water is preheated to the optimal standby state in advance; when a user takes water, feedforward compensation is carried out by utilizing the efficiency attenuation rate, and compound control is carried out in combination with real-time feedback, so that hot water at a target temperature is accurately and quickly provided. The problems that an existing direct drinking machine is slow in response, high in energy consumption and inaccurate in temperature due to performance degradation are solved, and the intelligent level, the user experience and the energy-saving effect are remarkably improved.

The invention relates to the technical field of intelligent household appliances, particularly provides a tableware washing method and a dish washing machine, and aims to solve the problem of unnecessary waste caused by pre-washing treatment when tableware is clean in the prior art. In order to achieve the purpose, the tableware washing method comprises the steps that the target putting amount of a detergent is determined according to the weight of tableware; entering a pre-washing stage under the condition that the target delivery amount is greater than or equal to a delivery amount threshold value; and directly entering a main washing stage under the condition that the target putting amount is smaller than a putting amount threshold value. Based on the scheme, the cleaning effect of the tableware can be guaranteed, the pre-washing stage does not need to be started under the condition that the number of the tableware is small, detergent and washing time can be saved, and better use experience is brought to a user.

The invention discloses a family cloud computing method and system based on a set-top box, and relates to the field of family cloud computing of the set-top box, and the method comprises the steps: enabling the set-top box to serve as an edge node to be deployed in a family network, and enabling the set-top box to be responsible for receiving the operation data of an intelligent household electrical appliance, and processing an interaction task with a cloud computing management server; establishing a household appliance data dynamic uploading mechanism, and adaptively switching a data uploading mode according to a server state; setting a dynamic sliding window and an attention mechanism, and dynamically capturing a time sequence rule of user behaviors; dynamically regulating and controlling the operation mode of the intelligent household electrical appliance based on a neural network algorithm; and setting a standby control channel, detecting whether the intelligent household electrical appliance and the set top box are connected abnormally, and dynamically adjusting the master control channel and the standby control channel. The method has the advantages that through load sensing uploading, time sequence behavior analysis and neural network regulation and control, the robustness of the system is ensured through dual-channel redundancy control while intelligent regulation and control of the household appliances are ensured, and the response speed and reliability are remarkably improved.

The invention provides a distributed voice control system and method, and the system comprises a cloud processing module which is in communication connection with a voice control module; the voice control module comprises: a pickup unit configured to obtain a voice instruction; the voice processing unit is configured to obtain a command word according to the voice instruction; if the command word is not matched with the judgment word of the first household appliance, sending the command word to a cloud processing module; the cloud processing module is configured to judge whether the command word is matched with a judgment word of the second household appliance according to the command word, and if yes, the command word is sent to the second household appliance; the second household appliance executes an action corresponding to the command word according to the command word; and the second household appliance is a household appliance which does not acquire the voice instruction, so that the problem that awakening cannot be performed or awakening words or command words cannot be accurately recognized when a certain distance is exceeded due to the fact that the pickup range of an existing intelligent household appliance product or an intelligent sound box is limited is solved.

The invention relates to the technical field of intelligent household electrical appliance control and biological characteristic recognition, and discloses an electric cooker voice safety control system and method based on voiceprint verification, the system comprises a multi-mode sensing array, a storage unit and a core processing unit, the method comprises the following steps: generating and storing equipment physical fingerprints representing unique physical characteristics of equipment, the method comprises the following steps: generating and storing a multi-dimensional feature template comprising an acoustic voiceprint, living body interaction and a spatial vector template for an authorized user, when a voice instruction is received, synchronously acquiring a to-be-detected acoustic and structural vibration signal by a system, executing layered collaborative authentication, and sequentially performing spatial domain verification, physical interaction verification and user identity verification, the physical interaction verification identifies the living body attribute of the sound source by comparing the real-time sound vibration coupling characteristic with the equipment physical fingerprint, so that the non-living body attack is effectively identified and intercepted, and the safety and reliability of voice control are improved.

The invention discloses a household power supply-based meter machine circuit control system and a control method thereof, and relates to the technical field of intelligent household appliance control. Comprising a cognitive load quantification module which obtains an interface comprehensive cognitive load score of a user through a user portrait and a terminology, and determines an interface display effect; the progressive guide module is used for carrying out progressive guide according to the Petri network, grading pressing pressure in the use process of the user through a pressure induction touch screen, and determining a pressure threshold value according to a grading result and complexity score; and the state mirror image module is used for carrying out dual-channel operation preview through a set dual-channel memory mirror image, and carrying out node dragging rollback and parameter comparison preview according to a visual operation timeline. The learning cost and the use pressure of the user can be reduced, the problems that a traditional intelligent rice machine is complex in interface and poor in operation fault tolerance are solved, and users with different cognitive levels can efficiently use advanced functions of the equipment.

The invention discloses a water purifier filter element service life detection method and system, and relates to the technical field of intelligent household appliance sensor crossing, and the method comprises the steps: carrying out the voiceprint detection according to a water quality entropy change mark, and carrying out the adjustment according to a filter element reference voiceprint library, and obtaining a voiceprint detection parameter set; according to the voiceprint detection parameter set, water flow voiceprint signals are collected in real time, spectral analysis is carried out, and a real-time voiceprint spectrogram is generated; calculating a high-frequency attenuation index based on the real-time voiceprint spectrogram, recognizing a blockage level, performing graded early warning according to the blockage level, and generating a hardware control signal set; and calculating the residual life of the filter element based on the blockage level and the current information entropy value, and generating a filter element life detection report in combination with the hardware control signal set. According to the method, the response delay bottleneck of fixed period detection is broken through, misjudgment caused by individual difference of the filter elements is eliminated, and dynamic optimization of a detection strategy is realized.

The invention provides a non-contact intelligent household electrical appliance control system and method based on posture recognition. The system comprises an acquisition module, a feature extraction module, a feature fusion module, a boundary positioning module, a recognition and classification module and a control module. The acquisition module is used for acquiring continuous CSI signal data of indoor WiFi where the intelligent household electrical appliance to be controlled is located and preprocessing the continuous CSI signal data; the feature extraction module is used for constructing a multi-modal feature extraction model based on the preprocessed continuous CSI signal data and extracting multi-modal features; the feature fusion module is used for fusing the multi-modal features based on Transform to obtain fused features; the boundary positioning module is used for positioning the target action boundary of the operator based on the fusion features; the identification and classification module is used for identifying and classifying the target action based on the positioned target action boundary; and the control module is used for realizing non-contact intelligent household electrical appliance control based on the classified target actions.

A smart home system and a control method and apparatus therefor, and a storage medium and a program product. The control method for a smart home system comprises: step 102, acquiring position information and first environment variable of a smart household appliance, and user information; step 104, acquiring a second environment variable of another household appliance device on the basis of the position information, wherein the other household appliance device is a household appliance device that is in the same space as the smart household appliance; step 106, on the basis of the first environment variable and the second environment variable, determining target environment variables of the space where the smart household appliance is located; step 108, on the basis of the target environment variables, determining environment data of the space where the smart household appliance is located; step 110, generating a target operation parameter on the basis of the user information and the environment data; and step 112, controlling the smart household appliance to operate according to the target operation parameter.

The present disclosure is directed to methods, computer program products, and computer systems for instructing a robot to prepare a food dish by replacing the human chef's movements and actions. Monitoring a human chef is carried out in an instrumented application-specific setting, a standardized robotic kitchen in this instance, and involves using sensors and computers to watch, monitor, record and interpret the motions and actions of the human chef, in order to develop a robot-executable set of commands robust to variations and changes in the environment, capable of allowing a robotic or automated system in a robotic kitchen to prepare the same dish to the standards and quality as the dish prepared by the human chef.

The invention relates to the technical field of intelligent household appliance control, in particular to a mode self-adaptive control method, device and equipment of an air conditioner and a medium. Performing filtering processing on the indoor living environment parameters and the outdoor environment parameters based on a moving average filtering method to obtain a filtering processing data set; enhancement processing is conducted on the filtering processing data set based on the air conditioner energy consumption and a roulette selection method, so that an enhanced data set is obtained; performing iterative optimization on the enhanced data set based on a preset velocity component updating formula to obtain an optimized data set; based on a preset air quality index threshold condition and the optimization data set, a comprehensive evaluation result vector is obtained through calculation; performing mapping operation according to the comprehensive evaluation result vector and a preset intelligent control mode library to obtain a first intelligent braking mode; decision accuracy is improved through data filtering, enhancement and optimization, energy consumption is reduced in combination with dynamic mode scheduling, energy utilization efficiency is improved, and comfort and air quality are guaranteed.

The utility model discloses a wireless intelligent remote controller in the technical field of electronic technology, which comprises a shell, an arc-shaped guide groove with a raised cambered surface is arranged at the top of the shell, and a multidirectional operating lever is movably mounted in the groove. A wireless signal processing unit is fixed on a lower shell; a central pressure sensing shaft is vertically mounted at the center of the unit; a spherical coupling sliding block at the top end of the shaft is matched with the radian of the guide rail; an axial resetting elastic body is sleeved on the periphery of the shaft; by installing the structures such as the multi-direction control rod, the arc-shaped guide groove and the three-dimensional limiting guide rail, the operation mode is innovated, the traditional operation limitation is broken through, the multi-direction control rod can flexibly slide in four directions along the arc-shaped guide groove, the traditional single operation mode of only depending on upper, lower, left and right keys is changed, and the complex scene of the intelligent household electrical appliance can be easily dealt with; repeated keys are greatly reduced, the operation efficiency is improved, a user gets rid of joint soreness and wrist stiffness, and convenient and efficient operation experience is brought.