195 results about "Smart appliance" patented technology

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 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 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 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.

The invention relates to the technical field of intelligent household appliances and Internet of Things, and discloses an RFID-based multi-user shared electric toothbrush and brush head intelligent management system and method, and the system comprises an electric toothbrush main body, a detachable toothbrush head and a multi-slot charging base. And the main body reads the toothbrush head storage unit through the RFID coil at the top, and executes parameter compatibility verification and self-adaptive driving matching according to the equipment capability table. The base adopts a time-sharing polling mechanism to sequentially activate the slot coils, and dead time is inserted during switching to prevent signal interference. The storage unit is provided with a double-groove redundant structure, and the data atomicity is guaranteed in cooperation with an ex-situ write-in strategy. The system also performs a multi-dimensional life weighting algorithm in combination with a pressure detection circuit, and dynamically adjusts a loss coefficient according to real-time load characteristics. According to the method, the problems of multi-user identity recognition, power-off data protection and accurate consumable service life estimation are effectively solved.

Systems and methods are provided for securely managing sensitive information, such as patient data or medical data. According to one implementation, a method includes a step of receiving sensitive information from one or more electronic medical devices over one or more secure, encrypted communication channels in a home network, wherein the one or more electronic medical devices are pre-authenticated using secure credentials. The method also includes a step of re-encrypting the sensitive information received from the one or more electronic medical devices to create secured data packets. Next, the method includes a step of transmitting the secured data packets over the Internet to a remote healthcare server.

The invention relates to the technical field of intelligent household appliance control, in particular to an intelligent frying and baking equipment self-adaptive temperature control method and system based on a multi-mode sensor. The system comprises a multi-source sensing module, a feature calculation module, a confidence evaluation module, a model deduction module and a fusion control module. The system calculates temperature fluctuation and angle change rate by collecting infrared, image and angle data; the method is characterized in that a sensor confidence coefficient factor is generated by using a confidence coefficient attenuation model, and a deduction temperature is calculated by combining a heat balance equation; the weights of the measured value and the deduced value are dynamically adjusted based on the confidence coefficient, and fusion temperature is generated for closed-loop control; according to the invention, lampblack shielding and uncovering interference are effectively identified, the problem of sensing distortion is solved, and accurate temperature control in a complex environment is realized.

The invention relates to a semiconductor lamp control method and an intelligent electric appliance, which are applied to the field of intelligent electric appliances, and the semiconductor lamp control method comprises the following steps: driving a semiconductor lamp to illuminate through a high-frequency sine wave current signal; the high-frequency sine wave current signal is obtained by modulating an original current signal for driving the semiconductor lamp to illuminate; collecting a current output signal output by the photoelectric sensor when the semiconductor lamp illuminates; determining the attenuation degree of the semiconductor lamp through a lock-in amplifier based on the phase difference between the high-frequency modulation current signal and the current output signal; and controlling the semiconductor lamp based on the attenuation degree. According to the invention, the problem of illumination response delay caused by aging of the semiconductor lamp is solved.

The invention provides a noise reduction control method, system and device of an extractor hood, a medium and an intelligent household electrical appliance, and the noise reduction control method comprises the steps that experimental modal parameters corresponding to all orders of volute parts under initial material information are obtained; calculating simulation modal parameters; error information of all orders of any volute part is obtained; responding that the error information is smaller than or equal to preset error information, and determining that volute parts in the range hood meet the noise reduction standard; when the error information is larger than preset error information in response, volute parts corresponding to the error information and corresponding order information are obtained; and optimizing the initial material information of the volute part based on a preset optimization function until the preset optimization function meets a preset standard, so that the volute part in the range hood meets a noise reduction standard. Through the noise reduction control method provided by the invention, the material information corresponding to the volute part can be quickly obtained, and the noise reduction standard is met.

This invention relates to the field of intelligent home appliance control technology, specifically a control method and device for the linkage between the range hood and the cooktop. The method includes obtaining the weight of the pot on any burner of the cooktop and the initial weight of the pot; if the weight of the pot is greater than a first preset weight, identifying the burner with the pot weight greater than the first preset weight as the target burner, and determining the location information of the target burner; controlling two air intakes to operate at a first preset suction power; if a user start command is received for the target burner, determining the target air intake corresponding to it based on the location information; controlling the target air intake to increase its suction power from the first preset suction power to a second preset suction power, and controlling the other air intake to increase its suction power from the first preset suction power to a third preset suction power; this invention activates the range hood based on the weight of the pot before cooking begins, ensuring that the range hood can draw in the initial fumes generated by the cooktop, preventing fumes from escaping and improving the smoke extraction effect.

The invention discloses a reservation method of an intelligent household electrical appliance, a storage medium and an electronic device, and relates to the technical field of intelligent home furnishing.The reservation method of the intelligent household electrical appliance comprises the steps that first voice information sent by a first intelligent household electrical appliance is received, natural language analysis is conducted on the first voice information, and intention information corresponding to the first voice information is obtained; the intention information comprises a control object, a control operation and appointment time, if the control object indicates the intelligent household electrical appliance of the target type, determining one or more second intelligent household electrical appliances of the target type corresponding to a user to which the first intelligent household electrical appliance belongs, determining a corresponding control instruction based on the control operation, and controlling the intelligent household electrical appliance of the target type based on the appointment time and the control instruction. Sending a reservation instruction to one or more second intelligent household appliances; according to the method, the control efficiency of a plurality of intelligent household appliances is improved, and meanwhile, the user experience is also improved.

The invention provides a household appliance control method and system, and relates to the technical field of intelligent household appliances. According to the method, a user instruction is subjected to localization analysis by introducing an intention complexity classifier, and a processing path is dynamically allocated according to an analysis result: a simple instruction is directly executed by a user terminal and feedback is generated, so that low-delay response and offline availability are realized, and the interaction fluency is improved; complex instructions are uploaded to the cloud service platform to be processed, multi-step task analysis and equipment cooperative control are completed through the powerful computing power of the cloud service platform, and the intelligent level in a complex scene is guaranteed. Through cooperative processing of local real-time response and cloud deep planning, dependence on cloud resources and sensitive data transmission are remarkably reduced, efficient, safe and consistent user interaction experience is supported while network loads and computing overhead are reduced, and performance, privacy and cost benefits are considered.

The invention provides a self-service fault positioning method and device and an electronic device, and relates to the technical field of smart home, the method is applied to an intelligent household electrical appliance fault removal application program, the intelligent household electrical appliance fault removal application program comprises a display interface, and the method comprises the following steps: obtaining at least one piece of fault information reported by target equipment; according to the fault information, a fault diagnosis tree corresponding to the fault information is matched, the fault diagnosis tree is composed of a plurality of nodes, and the nodes comprise at least one non-leaf node representing a problem and a leaf node representing a fault solution; and according to the logic structure of the fault diagnosis tree, sequentially displaying a question corresponding to the current node and at least one selectable answer to a user so as to guide the user to position a fault solution of the target equipment. According to the invention, the fault removal processing of the target equipment is realized in a hierarchical and structured manner, so that a solution is provided for the fault of the target equipment in an efficient and targeted manner, and the experience and satisfaction of a user are improved.

The invention provides an active noise reduction processing method and an active noise reduction processing system in an intelligent household electrical appliance. The active noise reduction processing method comprises the following steps: acquiring M initial reference channel signals based on each reference microphone; performing fusion processing on the M initial reference channel signals to obtain a single target reference channel signal; and processing the target reference channel signal by using different preset controllers to obtain N target output signals after noise reduction processing, and correspondingly outputting the N target output signals through the N loudspeakers. According to the scheme, on the premise that the core noise reduction performance of the system is guaranteed, the calculation complexity of the system is reduced, the processing efficiency is improved, and it is possible to achieve high-performance active noise reduction on a low-cost embedded platform; according to the invention, irrelevant interference signals such as wind noise can be effectively suppressed, the problem that a single-channel scheme is susceptible to environmental interference is solved, the signal-to-noise ratio is remarkably improved, and the working stability of the system in a complex environment is improved.

This application discloses a wastewater utilization method and intelligent electrical appliance for a water softener. The water softener is equipped with a wastewater tank and a wastewater reuse water circuit. The method includes: responding to a wastewater reuse command, acquiring the current operating condition of the water softener and the target water volume corresponding to the current operating condition; the wastewater in the wastewater tank is obtained by recycling wastewater generated during the resin regeneration stage of the water softener; acquiring the current water level in the wastewater tank and determining the current water volume in the wastewater tank based on the current water level; calculating the ratio of the current water volume to the target water volume to obtain the current water volume ratio; determining the target opening degree of the solenoid valve based on the current operating condition and the current water volume ratio, and controlling the solenoid valve to transport wastewater from the wastewater tank to the water supply circuit at the target opening degree. This application can convert the wastewater generated by the water softener during the resin regeneration stage into usable brine and tap water, reducing the overall water consumption of the water softener and avoiding water waste.

The invention relates to a voice intelligent prompting method and system for household appliances, and relates to the field of intelligent household appliance technology, and the method comprises the steps: obtaining an equipment use state; when the equipment use state is consistent with a preset equipment in-place state, an equipment operation interval is obtained, and an equipment operation area is determined in the equipment operation interval; a local unit area is determined according to a preset area division rule in the equipment operation area, and the area cleaning weight is determined according to the local unit area in the equipment operation area; and when the area cleaning weight is greater than a preset local attention weight, defining the corresponding local unit area as a cleaning attention area, comparing the cleaning attention area with a preset overall published map to determine a cleaning attention name, and performing voice broadcast output on the cleaning attention name. The effect of improving the overall experience when the user uses the sweeping robot is achieved.

The application relates to the technical field of smart homes, and discloses a method for scene generation, which comprises the following steps: acquiring relevant information of a current family member, function-related information of smart home appliances in the family, and air standard information; inputting the relevant information of the current family member, the function-related information of the smart home appliances in the family, and the air standard information into a scene arrangement model to obtain scene information output by the scene arrangement model; and showing the scene information output by the scene arrangement model to the current family member, so that the current family member performs scene management based on the scene information. According to the scheme, the flexibility of a user in scene management is remarkably improved, the problem that a user-defined scene function is simple and difficult to match complex and changeable requirements in the prior art is solved, and the user can obtain more accurate and expected scene configuration based on detailed information input. The application further discloses a device for scene generation and a terminal equipment.

The application provides a control method and system of a smart home appliance, and relates to the technical field of large language models, which comprises the following steps: in response to receiving a control request sent by a user terminal, extracting a user identifier carried by the control request; if the user of the user identifier is verified as a legal user, calling an intelligent agent configured by the smart home appliance to analyze the control request to obtain a user intention and at least one target home appliance; querying model information corresponding to the target home appliance; inputting the model information and the user intention into a preset large language model, outputting a device control instruction corresponding to each target home appliance by the large language model, and sending the device control instruction to the target home appliance to control the target home appliance. The control method and system of the smart home appliance can effectively reduce the risk of illegal control of the smart home appliance, thereby improving the security and stability of the entire control system.

This invention relates to the field of smart home appliance technology, specifically to a smart air conditioning control system and method based on a 24GHz millimeter-wave radar. The system includes a 24GHz millimeter-wave radar sensor module integrated into the air conditioner, a signal processing and data analysis module, a main control unit module, an air conditioning execution module, and a feedback module. The method includes: transmitting an FMCW signal via radar and receiving the echo; processing the echo signal to extract distance, speed, and azimuth information of a dynamic human body, and identifying a static human body based on micro-Doppler spectrum analysis; constructing a state model based on this information, including the presence, location, and activity intensity of the person; and generating and executing precise airflow, mode adaptation, and energy-saving control strategies based on this model. This invention solves the problems of traditional sensors being unable to detect stationary human bodies and lacking spatial perception capabilities, achieving all-weather, high-precision, and privacy-protecting proactive intelligent control, significantly improving comfort and energy efficiency.

This application relates to an LED lamp attenuation compensation method, a smart appliance, and a smart range hood. The method acquires a current sampling signal; the current sampling signal is detected by a current transformer installed on the LED lamp's power line; a detection amplitude at a specific frequency point is extracted from the current sampling signal; based on the detection amplitude and a preset standard amplitude, an attenuation characteristic value at the specific frequency point is calculated; based on the attenuation characteristic value at the specific frequency point, the original driving signal of the LED lamp is compensated to adjust the LED lamp to emit light normally. This solves the problem of poor reliability in LED attenuation compensation, and combines current signal frequency domain analysis with an LED light decay compensation mechanism, realizing a new path for low-cost, high-reliability intelligent lighting control.

The application belongs to the technical field of intelligent household appliances, and particularly relates to an intelligent household appliance control method, device, equipment and computer storage medium. The method comprises the following steps: acquiring the pore moisture content of a user and a current refrigeration mode of an intelligent household appliance; determining the thermal sensation state of the user according to the pore moisture content and a preset moisture content; determining the target refrigeration mode of the intelligent household appliance according to the thermal sensation state and the current refrigeration mode, and controlling the intelligent household appliance to perform refrigeration processing according to the target refrigeration mode. The method realizes intelligent control of the temperature of the space where the user is located, minimizes the negative influence of the long-term operation of the intelligent air conditioner on human health, reduces the probability of the user suffering from air conditioner disease, improves the functionality and intelligence of the intelligent air conditioner, and improves the experience of the user.

An image processing apparatus and air conditioner include: an acquisition unit configured to acquire low-light and infrared images; and a processing unit comprising: a low-light image enhancement algorithm model, which includes: a gradient reconstruction module comprising: a frequency domain processing branch configured to transform the gradient map of the low-light image from the spatial domain to the frequency domain to extract the phase spectrum and amplitude spectrum; and a spatial domain processing branch configured to fuse the gradient map of the low-light image with the infrared image in the channel dimension; the gradient reconstruction module adds the residual of the spatial domain processing branch to the amplitude spectrum to obtain an enhanced amplitude spectrum; an amplitude-enhanced gradient map of the low-light image is obtained through an inverse Fourier transform between the enhanced amplitude spectrum and the original phase spectrum; and an enhanced visible light image is generated through an encoder-decoder architecture based on the gradient features of the amplitude-enhanced gradient map of the low-light image and the image features of the low-light image; this application has high accuracy and is suitable for use in smart home appliances.

The invention provides an intelligent household electrical appliance control method, electronic equipment, a storage medium and a program product, and belongs to the technical field of intelligent household electrical appliance control. The intelligent household electrical appliance control method is applied to the intelligent household electrical appliance, and the intelligent household electrical appliance comprises a panel, a burner assembly, a first temperature sensor and a second temperature sensor. The method comprises the following steps: in response to the fact that the current temperature of the cooker is detected to be within a first temperature range, judging the current state of the cooker according to the temperature variation detected by the first temperature sensor and the second temperature sensor; in response to the fact that the current state of the cookware is the preset cooking state, the overflow state of the cookware is further judged, and the power of the burner assembly for heating the cookware is controlled according to the overflow state of the cookware. Therefore, the overflowing state can be accurately determined, the accuracy of judging the overflowing state is improved, and then the pot heating power of the burner assembly can be controlled according to the overflowing state of the pot.

The application provides a kind of self-adapting environmental temperature electric fan wind speed intelligent control method and system, it is related to intelligent household electrical appliances control technical field, the method includes: based on the first temperature value, second temperature value and third temperature value calculate environmental average temperature, while combining wind speed correction value, according to the preset temperature-wind speed mapping rule generates initial wind speed gear parameter;Wind speed correction value is superimposed to initial wind speed gear parameter, generates final wind speed gear control parameter;Final wind speed gear control parameter is converted into motor speed control instruction, adjusts electric fan motor speed in real time;Wherein, temperature-wind speed mapping rule satisfies temperature rises and promotes wind speed gear, temperature reduces and reduces wind speed gear.The application is converted into motor speed instruction by synchronous acquisition, real-time modeling and dynamic correction closed loop process, quickly temperature change is realized electric fan wind speed intelligent control.

The invention relates to the field of intelligent products, discloses an NFC label anti-counterfeiting authentication method applied to an intelligent household appliance, and solves the problems that an existing NFC label anti-counterfeiting authentication scheme is tedious in implementation process and high in development difficulty. According to the method, the non-repeated KEYs are generated at the cloud in batches and written into the PC end test software, the PC end test software packs the read UID of the NFC label and the selected KEYs into common data and writes the common data into the NFC label, in a user use scene, the mobile terminal supporting the NFC function touches the NFC label to read the UID and the packed data, and the user experience is improved. The method comprises the steps of reading a UID, performing preliminary verification based on the read UID and a UID analyzed from packet data, and uploading an analyzed key KEY to a cloud for re-verification after the preliminary verification is passed, so that the key generation and write-in process is simplified without an encryption algorithm, the UID cannot be duplicated, the cloud key management is utilized, and the encryption algorithm is not needed, and the key generation and write-in process is simplified, so that the key generation and write-in process is simplified, and the key generation and write-in process is simplified. Precise identification of the copy paste and the pirate paste of the NFC label is realized, and NFC label anti-counterfeiting authentication with low development difficulty and high anti-counterfeiting reliability is achieved.

The application provides a large model-based intelligent control method, device, medium and program product, and relates to the technical field of smart home / smart home. The method comprises the following steps: inputting a parameter value of a target environment parameter, position information of at least part of intelligent household appliance devices in a room and a first prompt word into an analysis large model to obtain an analysis result, wherein the first prompt word is used to instruct the analysis large model to analyze the indoor distribution and / or change trend of the target environment parameter according to the parameter value and the position information; inputting the analysis result and a second prompt word into a control large model to obtain a control result, wherein the second prompt word is used to instruct the control large model to generate a control instruction for at least one target intelligent household appliance device in a household appliance set according to the analysis result, and the control instruction is used to control the target intelligent household appliance device to adjust the target environment parameter. The method provided in the application can provide appropriate control for the intelligent household appliance devices and improve user experience.

The invention relates to the technical field of intelligent household electrical appliance control, in particular to a water dispenser intelligent temperature control method and system based on feature feedback, and the method comprises the steps: determining an intelligent water dispenser, recognizing the current moment, determining a temperature control ordinal number based on the current moment, determining target temperature control data from a pre-constructed temperature control data sequence based on the temperature control ordinal number, performing ultrasonic temperature regulation and control and user feature collection on the intelligent water dispenser based on the target temperature control data to obtain a target water dispenser and a feature data packet, extracting a plurality of feature data packets from the feature memory, performing feature feedback regulation on the temperature control data sequence based on the plurality of feature data packets to obtain a feature temperature control data sequence, and sending the feature temperature control data sequence to the intelligent water dispenser; and taking the characteristic temperature control data sequence as a temperature control data sequence, returning to the step of confirming the intelligent water dispenser, and finishing intelligent temperature control of the water dispenser until a pre-constructed regulation and control termination instruction is received. The energy consumption of the intelligent water dispenser can be reduced, and the use experience of a user of the intelligent water dispenser is improved.

The present disclosure provides a method and device for calculating the power consumption of a washing machine during the draining process, a washing machine and a storage medium. The present disclosure obtains the equivalent density value of the water in the washing machine before or at the beginning of the draining process, the first water level frequency value before draining, and the second water level frequency value after draining. The power consumption of the draining process is calculated according to the difference between the second water level frequency value and the first water level frequency value, combined with the equivalent density value, thereby improving the data accuracy of the power consumption of the draining process in different modes, providing more comprehensive power consumption information for users, and providing data support for energy efficiency optimization of smart home appliances.

The invention discloses an intelligent household electrical appliance man-machine interaction multi-parameter response time-oriented synchronous measurement system, which comprises a clock synchronization basic module, a central control unit and data processing module, a trigger simulation module, an environment simulation module and a data acquisition module, and is characterized in that the clock synchronization basic module is used as a time reference in the whole measurement system; the central control unit and the data processing module are responsible for coordinating the operation of the measurement system; the trigger simulation module is used for automatically sending a multi-mode interaction trigger signal to the tested household appliance; the environment simulation module is used for simulating a multi-dimensional interference condition of a real use environment of the tested household appliance; the data acquisition module is used for detecting a multi-dimensional response signal and stamping a timestamp on each response event of the detected household appliance; according to the invention, the response time difference from the trigger event to the household appliance response execution can be accurately captured, and the objectivity and repeatability of the test result are improved.

This application relates to a heating plate detection method for a smart appliance and the smart appliance itself, applicable to the field of smart appliances. The method includes: acquiring a first temperature value at a temperature measuring point located in the center region of the heating plate and a second temperature value at a temperature measuring point located in the edge region of the heating plate using a multi-point temperature acquisition array disposed on the heating plate; the multi-point temperature acquisition array includes multiple temperature sensors; if the difference between the first and second temperature values ​​exceeds a preset temperature difference threshold, applying a vibration disturbance to the heating plate; and determining whether the heating plate surface is lacking water based on the average temperature value of each temperature measuring point before the vibration disturbance and the peak temperature value of each temperature measuring point after the vibration disturbance. This application solves the problem of low accuracy in determining whether a heating plate is lacking water using a single-point temperature sensor.