504 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 energy system optimization scheduling method considering flexible loads, which comprises the following steps: S1, by using new technologies such as intelligent home appliance networking, electric vehicle ordered charging and household energy storage in a transformer area, overall management of transformer area flexible loads such as electric vehicles, household energy storage and intelligent Internet of Things home appliances is carried out, and load adjustment characteristics are analyzed, so that the intelligent home appliance networking of the transformer area is realized; establishing a load aggregation model; s2, then formulating a transformer area side flexible load collaborative optimization scheduling strategy; s3, considering a scene that multiple transformer areas participate in power grid dispatching, establishing a regulation and control framework, and proposing a dispatching strategy under multiple time scales; and S4, mining the flexible load resource regulation and control capability of the transformer area, and achieving the goals of optimal power utilization of the transformer area, stabilization of new energy fluctuation, safe, stable and economical operation of a power grid and the like. According to the energy system optimization scheduling method considering the flexible load, typical flexible load adjustment characteristics are analyzed, a typical flexible load aggregation model is established, and the problem that the flexible load adjustment characteristics are difficult to analyze due to limitation of influence factors is solved.

The invention provides a multi-household appliance linkage control method and system. The method comprises the following steps: arranging an intelligent monitoring device to collect indoor and outdoor environment data; carrying out preprocessing and feature extraction on the calibrated and calibrated data; establishing a relation model between the environment parameters and household appliance control by adopting a regression model according to the comprehensive feature vector; processing the data acquired by the security and protection sensor and extracting features; a specific multi-household-appliance control strategy is generated according to the self-adaptive control strategy and the security comprehensive feature vector, the generation of the multi-household-appliance control strategy adopts a hybrid model, a deep reinforcement learning optimization control strategy is used, the optimization control strategy is applied to specific intelligent household appliances, and real-time monitoring is carried out; and designing a user interface to check and control the state of the household appliance. The household appliance linkage control system not only overcomes many defects in the prior art, but also provides an efficient, intelligent, energy-saving and safe household appliance linkage control system, and brings more comfortable and convenient life experience to users.

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 provides an equipment positioning method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring an initial house type image of a target place; region division is carried out on the target place based on the initial house type image to obtain corresponding room division data, and the room division data comprises at least one room and the room position of each room; determining a device position corresponding to each device in the target place; and for each device, based on the device position of the device and the room position of each room, determining a target room where the device is located in the at least one room. Therefore, intelligent room division of the target place and intelligent positioning of the equipment in the target place are realized, and the whole process does not need manual operation, so that the labor cost is saved, and the efficiency of intelligent home appliance configuration of the whole house is improved.

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.

One embodiment of the invention provides a computer-implemented method for an interactive embedded conversational artificial intelligence (AI) agent on an electronic device. The method comprises obtaining a diagnostic report for the electronic device, establishing a communication channel with a remote chatbot, and sending, to the remote chatbot over the communication channel, the diagnostic report. The method further comprises receiving, from the remote chatbot over the communication channel, instructions for resolving at least one potential fault of the electronic device. The instructions are indicative of at least one potential fault of the electronic device and at least one preventative measure to resolve the at least one potential fault. The method further comprises dynamically taking at least one action to automatically resolve the at least one potential fault if the at least one potential fault is resolvable without human intervention. The at least one action is based on the instructions.

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 relates to the technical field of voice control of household electrical appliances, particularly provides a voice control method of an intelligent household electrical appliance and the intelligent household electrical appliance, and aims to solve the problem that an existing voice control system cannot accurately recognize an effective voice instruction in a noisy environment. In order to achieve the purpose, the voice control method of the intelligent household electrical appliance comprises the following steps: after a voice control function is started, collecting audio data within a preset duration; environment noise and voice instructions of the surrounding environment in the audio data are recognized; when the environmental noise is greater than or equal to a preset noise threshold value, acquiring a voice keyword in the voice instruction; according to the voice control method disclosed by the invention, when the surrounding environment noise is greater than the preset noise threshold value, the environment noise and the voice instruction in the acquired audio data can be identified, and the intelligent household electrical appliance is controlled by identifying the keyword in the voice instruction; the accuracy of recognizing the voice instruction in the audio data is improved.

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 invention relates to the technical field of household appliances, and provides a knob, an intelligent household appliance control method, an intelligent household appliance and a storage medium. A control module and a rotary coding module are arranged in a main body of the knob, and at least four touch sensors are arranged on the surface of the main body around the rotating axis of the main body; the rotary coding module is used for generating a corresponding adjusting signal according to the collected rotation angle; the touch sensor is used for generating a corresponding touch signal according to a touch state detected by a sensing area of the touch sensor; the control module is used for determining a corresponding adjusting mode according to the touch signal and determining an adjusting result needing to be output according to the adjusting mode and the adjusting signal, and the adjusting result is a first result corresponding to the first mode or a second result corresponding to the second mode. Therefore, a user can control the knob through a single-finger mode and a multi-finger mode, so that the knob outputs different adjustment results by adopting different adjustment modes according to different operation modes.

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 discloses a method for determining recipe information in the field of intelligent household appliances. The method comprises the following steps: acquiring the recipe information currently used by a user, the time information of waiting for meals of the user corresponding to the recipe information currently used by the user, and the evaluation information of the user corresponding to the recipe information currently used by the user; generating a recipe difficulty level of the user according to the time information of waiting for meals of the user; according to the evaluation information of the user, generating a recipe favorite grade of the user; reducing the recipe difficulty level weight of the user and performing weight addition on the recipe favorite level of the user to generate a comprehensive score of the recipe currently used by the user; and classifying the comprehensive score of the recipe currently used by the user into a comprehensive score database of the recipes used by the user, and sorting to generate recommended recipe information. According to the invention, the comprehensive score ranking of the recipe can be pertinently, timely and efficiently iteratively updated, so that the recipe information screening process becomes more intelligent and convenient.

The invention belongs to the technical field of intelligent household appliances, and particularly relates to an intelligent noise reduction control method, device and equipment and a computer storage medium. The method comprises the steps of obtaining a first noise value of an outdoor unit of the intelligent household electrical appliance and a current operation frequency of the outdoor unit; according to the current operation frequency, determining the current operation frequency band of the intelligent household electrical appliance, and obtaining different noise upper limit values; whether the outdoor unit is in a noise state or not can be determined according to the first noise value and the corresponding noise upper limit value; when the outdoor unit is in the noise state, the current operation frequency of the outdoor unit is subjected to frequency reduction processing and frequency increase processing according to a first preset speed; and according to the processing result, the target operation frequency is determined, and the outdoor unit is controlled to operate according to the target operation frequency. According to the method, intelligent noise reduction processing of the intelligent household electrical appliance is realized, the working efficiency of the intelligent household electrical appliance is improved, frequency-band-divided noise reduction is realized for different operation environments, a suitable activity environment is provided for a user, and the use experience of the user is improved.

Various implementations relate to techniques, for controlling smart devices, that are low latency and / or that provide computational efficiencies (client and / or server) and / or network efficiencies. Those implementations relate to generating and / or utilizing cache entries, of a cache that is stored locally at an assistant client device, in control of various smart devices (e.g., smart lights, smart thermostats, smart plugs, smart appliances, smart routers, etc.). Each of the cache entries includes a mapping of text to one or more corresponding semantic representations.

The invention discloses an intelligent voice curtain system based on Bluetooth communication and remote control. The system comprises a voice control module, a Bluetooth communication module, a hardware control terminal, a WiFi wireless communication module and a whole-house intelligent curtain, the voice control module, the Bluetooth communication module and the WiFi wireless communication module are all integrated on the hardware control terminal, and the whole-house intelligent curtain is also internally provided with the Bluetooth communication module. The hardware control terminal obtains a control instruction through the voice control module and sends the control instruction to the Bluetooth communication module in the whole-house intelligent curtain through the Bluetooth communication module in the hardware control terminal in a Bluetooth communication mode so as to control the whole-house intelligent curtain. And meanwhile, the hardware control terminal realizes wireless communication with the mobile client through WiFi wireless communication by the WiFi wireless communication module. The method has the beneficial effects that the operation is convenient, the application range is wide, the method is suitable for control and upgrading of whole-house smart home and kitchen appliances, and development and innovation of smart home appliance technologies and products are promoted.

The embodiment of the invention is suitable for the technical field of intelligent household appliances, and provides an object grabbing 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 mechanical arm is used for grabbing an object through a tail end clamping jaw. The method comprises the steps that image data and point cloud data of an object to be grabbed are collected; determining a target grabbing point of the to-be-grabbed object according to the image data and the point cloud data of the to-be-grabbed object; and the mechanical arm is controlled to grab the to-be-grabbed object based on the target grabbing point. By means of the method, the object grabbing precision of the mechanical arm can be 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.