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CN-121993826-A - Oil smoke adjusting control method and device and intelligent electrical appliance

CN121993826ACN 121993826 ACN121993826 ACN 121993826ACN-121993826-A

Abstract

The application provides a lampblack adjusting control method, a lampblack adjusting control device and an intelligent electric appliance, wherein the lampblack adjusting control method comprises the steps of converting a kitchen space into a three-dimensional data model; dividing a kitchen space converted into a three-dimensional data model into a preset number of grids, establishing a boundary condition corresponding to the kitchen space, based on the air flow field data in each grid under the boundary condition of the Reynolds time mean square Cheng Queding, solving a lampblack diffusion equation based on the air flow field data in each grid to obtain lampblack concentration in each grid at each time point, and regulating and controlling smoke exhaust in the kitchen space according to the lampblack concentration in each grid at each time point. The embodiment of the application can realize efficient, energy-saving and accurate smoke discharging and purifying effects.

Inventors

  • SUN CHAOFAN

Assignees

  • 宁波方太厨具有限公司

Dates

Publication Date
20260508
Application Date
20260210

Claims (10)

  1. 1. A method for controlling the regulation of soot, the method comprising: Converting the kitchen space into a three-dimensional data model; dividing the kitchen space converted into the three-dimensional data model into a preset number of grids; Establishing boundary conditions corresponding to the kitchen space; Air flow field data in each grid under the boundary condition based on Reynolds time mean square Cheng Queding; Solving a lampblack diffusion equation based on the air flow field data in each grid to obtain lampblack concentration in each grid at each time point; and regulating and controlling smoke exhaust in the kitchen space according to the smoke concentration in each grid at each time point.
  2. 2. The method of claim 1, wherein the reynolds-time mean square Cheng Queding based air flow field data in each grid under the boundary condition comprises: acquiring air density, dynamic viscosity, volume force and Reynolds stress in each grid, wherein the Reynolds stress is closed by adopting a turbulence model; inputting the air density, dynamic viscosity, volume force and Reynolds stress in each grid into the Reynolds time-averaged equation to obtain air flow field data and pressure data in each grid; The Reynolds mean square distance is as follows: ; Wherein, the Air flow field data in each grid for the boundary condition; pressure data in each grid for the boundary condition; For the boundary conditions, the air density in each grid; Dynamic viscosity in each grid for the boundary conditions; for the reynolds stress in each grid under the boundary condition, closing the reynolds stress by adopting a turbulence model; for the boundary conditions, the volumetric force in each grid.
  3. 3. The method of claim 1, wherein solving the soot diffusion equation based on the air flow field data in each grid to obtain the soot concentration in each grid at each time point comprises: inputting the air flow field data in each grid into the oil smoke diffusion equation to obtain the oil smoke concentration in each grid at each time point; the oil smoke diffusion equation is as follows: ; Wherein, the For the concentration of the oil smoke, In order for the diffusion coefficient to be the same, In order to achieve a sedimentation rate, In the case of a convection term, In order for the diffusion term to be a function of, Is the change speed of the oil smoke concentration with time.
  4. 4. The method according to claim 1, wherein the method further comprises: the method comprises the steps of acquiring sensor data acquired by a sensor in a preset time interval, wherein the sensor comprises at least one of a lampblack sensor, a wind speed sensor, a temperature sensor and a door and window state sensor, the lampblack sensor is arranged on a kitchen suspended ceiling and above a cooking bench, the wind speed sensor is arranged at an inlet of a smoke exhaust pipeline and in a surrounding area of a door and a window, the temperature sensor is arranged on the surface of the cooking bench and at a lampblack inlet, and the door and window state sensor is arranged at the edge of the door and window of a kitchen; updating the boundary condition based on the sensor data to obtain an updated boundary condition; Initializing the oil smoke concentration in a target grid based on the sensor data, wherein the target grid is a grid above a kitchen hearth; And re-executing the air flow field data in each grid based on the Reynolds time mean square Cheng Queding under the boundary condition based on the updated boundary condition and the initialized target grid of the oil smoke concentration until the operation of obtaining the oil smoke concentration in each grid at each time point is completed until the variation of the air flow field data, the pressure data and the oil smoke concentration in each grid at each time point is smaller than the corresponding threshold value.
  5. 5. The method of claim 1, wherein said regulating smoke evacuation in said kitchen space based on said concentration of smoke in each grid at said respective time points comprises: Determining the grid volume of each grid, the real-time power of a fan and the target fan power, wherein the target fan power is larger than a preset power threshold; analyzing efficiency indexes based on the oil smoke concentration in each grid at each time point, the grid volume of each grid, the real-time power of the fan and the target fan power to obtain comprehensive efficiency indexes at each time point; Determining a predicted time domain step number, a control time domain step number and an energy consumption weight; constructing a cost function based on the comprehensive efficiency index, the fan rotating speed variation, the predicted time domain step number, the control time domain step number and the energy consumption weight of each time point; Determining the fan rotating speed variation in a preset rotating speed range when the cost function is smaller than a preset cost threshold value, and obtaining a target fan rotating speed variation; And regulating and controlling smoke exhaust in the kitchen space based on the target fan rotating speed variation.
  6. 6. The method of claim 5, wherein analyzing the efficiency index based on the soot concentration in each grid, the grid volume of each grid, the fan real-time power, and the target fan power at each time point to obtain the integrated efficiency index at each time point comprises: ; Wherein, the As an overall efficiency index for each point in time, For the soot concentration of the ith grid at time t=0, The oil smoke concentration of the ith grid at the moment t, For the mesh volume of the ith mesh, The real-time power of the fan is used, Target fan power; Correspondingly, the construction of the cost function based on the comprehensive efficiency index, the fan rotating speed variation, the predicted time domain step number, the control time domain step number and the energy consumption weight of each time point comprises the following steps: ; Wherein, the As a function of the cost, Refers to the prediction of the number of time domain steps, Refers to the control of the number of time domain steps, Refers to the overall efficiency index at time t, Refers to the variation of the rotating speed of the fan, Refers to energy consumption weights.
  7. 7. The method according to claim 1, wherein the method further comprises: determining a high-concentration range of the oil smoke and a main direction of oil smoke diffusion based on the oil smoke concentration; And under the condition that the oil smoke concentration is larger than a preset concentration threshold value and the change speed of the oil smoke concentration along with time is larger than a preset change speed threshold value, generating emergency air flow field data based on the preset concentration threshold value and the oil smoke concentration, and determining a target angle of a guide plate so that the guide plate faces to the main oil smoke diffusion direction.
  8. 8. The method of claim 7, wherein the determining a target angle of a baffle to orient the baffle in the primary direction of soot diffusion comprises: Determining a connecting line from a smoke outlet to the center of the oil smoke high concentration area as a target ideal smoke discharging path; Acquiring a three-dimensional coordinate of the oil smoke high concentration area, and calculating a first included angle between a connecting line of two points and a vertical direction or an initial plane of the guide plate; and under the condition that the oil smoke diffusion main direction is horizontally offset, superposing an offset angle on the first included angle to obtain the target angle.
  9. 9. A fume adjustment control device, the device comprising: The conversion module is used for converting the kitchen space into a three-dimensional data model; the dividing module is used for dividing the kitchen space converted into the three-dimensional data model into a preset number of grids; The boundary establishing module is used for establishing boundary conditions corresponding to the kitchen space; the air flow field data determining module is used for determining air flow field data in each grid under the boundary condition based on Reynolds time mean square Cheng Queding; The oil smoke concentration determining module is used for solving an oil smoke diffusion equation based on the air flow field data in each grid to obtain the oil smoke concentration in each grid at each time point; and the regulation and control module is used for regulating and controlling the smoke exhaust in the kitchen space according to the smoke concentration in each grid at each time point.
  10. 10. A smart appliance, characterized in that the smart appliance adopts the smart appliance lampblack adjustment control method according to any one of claims 1 to 8, and the smart appliance comprises a lampblack absorber.

Description

Oil smoke adjusting control method and device and intelligent electrical appliance Technical Field The application belongs to the technical field of kitchen ventilation equipment in intelligent electrical appliances, and particularly relates to a lampblack adjusting and controlling method and device and the intelligent electrical appliances. Background In the related art of intelligent appliances, a kitchen fume exhaust system is mainly divided into a conventional range hood and a part of intelligent fume exhaust equipment. The traditional range hood mostly adopts a fixed wind speed smoke discharging mode, and a user can manually adjust low, medium and high wind speeds to cope with different cooking scenes. The section of the smoke exhaust pipeline is fixed, and cannot be adjusted according to actual smoke exhaust conditions. Although a sensor is introduced into part of intelligent smoke discharging equipment, the rotating speed of a fan can be automatically adjusted according to the concentration of oil smoke, the intelligent smoke discharging equipment still has obvious defects in the aspects of air flow field simulation, smoke discharging pipeline self-adaptive control and the like, and high-efficiency, energy-saving and accurate smoke discharging and purifying effects are difficult to realize. Disclosure of Invention In order to solve the technical problems, the application provides a lampblack adjusting and controlling method and device and an intelligent electrical appliance. According to an aspect of the embodiment of the present application, there is provided a cooking fume adjusting control method, including: Converting the kitchen space into a three-dimensional data model; dividing the kitchen space converted into the three-dimensional data model into a preset number of grids; Establishing boundary conditions corresponding to the kitchen space; Air flow field data in each grid under the boundary condition based on Reynolds time mean square Cheng Queding; Solving a lampblack diffusion equation based on the air flow field data in each grid to obtain lampblack concentration in each grid at each time point; and regulating and controlling smoke exhaust in the kitchen space according to the smoke concentration in each grid at each time point. In an alternative embodiment, the reynolds-time mean square Cheng Queding based air flow field data in each grid under the boundary condition comprises: acquiring air density, dynamic viscosity, volume force and Reynolds stress in each grid, wherein the Reynolds stress is closed by adopting a turbulence model; inputting the air density, dynamic viscosity, volume force and Reynolds stress in each grid into the Reynolds time-averaged equation to obtain air flow field data and pressure data in each grid; The Reynolds mean square distance is as follows: ; Wherein, the Air flow field data in each grid for the boundary condition; pressure data in each grid for the boundary condition; For the boundary conditions, the air density in each grid; Dynamic viscosity in each grid for the boundary conditions; for the reynolds stress in each grid under the boundary condition, closing the reynolds stress by adopting a turbulence model; for the boundary conditions, the volumetric force in each grid. In an optional embodiment, the solving the soot diffusion equation based on the air flow field data in each grid to obtain the soot concentration in each grid at each time point includes: inputting the air flow field data in each grid into the oil smoke diffusion equation to obtain the oil smoke concentration in each grid at each time point; the oil smoke diffusion equation is as follows: ; Wherein, the For the concentration of the oil smoke,In order for the diffusion coefficient to be the same,In order to achieve a sedimentation rate,In the case of a convection term,In order for the diffusion term to be a function of,Is the change speed of the oil smoke concentration with time. In an alternative embodiment, the method further comprises: the method comprises the steps of acquiring sensor data acquired by a sensor in a preset time interval, wherein the sensor comprises at least one of a lampblack sensor, a wind speed sensor, a temperature sensor and a door and window state sensor, the lampblack sensor is arranged on a kitchen suspended ceiling and above a cooking bench, the wind speed sensor is arranged at an inlet of a smoke exhaust pipeline and in a surrounding area of a door and a window, the temperature sensor is arranged on the surface of the cooking bench and at a lampblack inlet, and the door and window state sensor is arranged at the edge of the door and window of a kitchen; updating the boundary condition based on the sensor data to obtain an updated boundary condition; Initializing the oil smoke concentration in a target grid based on the sensor data, wherein the target grid is a grid above a kitchen hearth; And re-executing the air flow field data in each grid based on th