Control method and system, server and terminal

[0060] Example one

[0061] The embodiment of the present invention provides a control method. figure 2 Is a schematic flow chart of the control method of the first embodiment of the present invention; figure 2 As shown, the method includes:

[0062] Step 201: The terminal collects spatial data and its own wind data, and sends the spatial data and the wind data to the server.

[0063] In this embodiment, the terminal has an air purification function, that is, it can suck in external air and send out purified clean air through the internal purification function; based on this, the terminal has at least an air inlet and an air outlet. As an illustration, the terminal may be an air purifier in practical applications.

[0064] Here, the spatial data is spatial data in the spatial area where the terminal is located. Taking the ground where the terminal is located as an example, the spatial data may include: spatial height, spatial length and width, etc.; here, The space refers to: when the room where the terminal is located is an empty room, that is, when there are no objects in the room, the space is the room; when the room where the terminal is located is provided with objects, such as a home At the time, the space is other space in the room except the objects set up. It can be understood that the space is a space where air can circulate and form an air flow. In this embodiment, the terminal collecting spatial data includes: the terminal collecting image data and distance data, and generating spatial data based on the image data and the distance data; wherein the distance data represents the relationship between the terminal and the distance data. The distance between obstructions in the space. Specifically, the terminal may be provided with an image sensor and a distance sensor; the image sensor and the distance sensor may be provided in multiples, or the image sensor and the distance sensor may be rotated, so as to obtain a complete The spatial data of the spatial region.

[0065] In this embodiment, the wind data includes the wind speed and wind direction of the clean air. Wherein, the wind speed and the wind direction can be determined according to the pre-configuration of the working mode of the terminal.

[0066] In this embodiment, the terminal has a communication function, that is, it can send the collected data to the server through the communication function. Preferably, the communication function may be a wireless communication function, and the wireless communication function may be implemented based on any wireless communication technology such as wireless fidelity (WiFi) technology, which will not be repeated here.

[0067] Step 202: The server establishes a spatial model based on the spatial data, and establishes a wind model based on the wind data.

[0068] Here, on the one hand, the server establishes a space model based on the space data sent by the terminal; specifically, the server can establish a three-dimensional space model of the space where the terminal is located based on the image data and distance data sent by the terminal; The three-dimensional space model can reflect the space area where the terminal is located. On the other hand, the server establishes a clean air outlet model based on the air outlet data sent by the terminal, including the air outlet speed and direction of the clean air; the air outlet model can reflect the clean air output by the terminal The flow and diffusion of air.

[0069] Step 203: Based on the space model and the preset gas flow model, the server calculates a plurality of airflow flow models formed by the air outlet model when the terminal is at multiple positions in the space model.

[0070] Here, based on the space model and the preset gas flow model, the multiple airflow flow models that are formed when the terminal is at multiple positions in the space model and are discharged according to the airflow model include: Based on Boussinesq assumptions and turbulent flow model to obtain a preset gas flow model;

[0071] Based on the space model and the preset gas flow model, multiple airflow flow models formed when the terminal is at multiple positions in the space model and are discharged according to the airflow model are calculated.

[0072] Among them, the Boussinesq hypothesis holds that: the change of density does not significantly change the properties of the fluid, that is, the viscosity, etc. remain unchanged; at the same time, in the conservation of momentum, the change of density affects the inertial force term. The influence of the pressure difference term and the viscous force term can be ignored, and only the influence on the mass force term is considered.

[0073] Specifically, the obtained preset gas flow model can be expressed by formula (1):

[0074]

[0075] Among them, ρ represents the air density; φ(t) represents the concentration of pollutants in the air at time t, and the pollutants are mainly PM2.5 and PM10 pollutants; u i (i=1, 2, 3) is the velocity component of the clean air in the direction of the Cartesian coordinate component; Γ represents the effective diffusion coefficient of gas in the air (m 2 /s); s φ Represents the generalized source term; the generalized source term represents the unsteady-state term that cannot be included in the governing equation. Considering the gas flow generated by a stable gas jet source in a fixed space in this model, the generalized source term s φ Can be set as a constant; x i Represents a space coordinate vector, such as x 1 Represents the x-axis coordinate; x 2 Represents the y-axis coordinate; x 3 Represents the z-axis coordinates and so on.

[0076] In the embodiment of the present invention, it is assumed in the gas flow model that the main composition of the gas is clean air and polluted air containing PM2.5 and/or PM10, and the diffusion medium is not much different. The factors that affect the gas diffusion coefficient include temperature, pressure, gas density, etc. The assumptions of the gas flow model in the embodiment of the present invention are: 1) The temperature is assumed to be stable during the diffusion process, temperature conduction is not considered, and the impact of heat transfer is ignored; 2), the diffusion coefficient is isotropic; 3), no chemical reaction occurs during the diffusion process, and the gas density is uniform. Therefore, in the gas flow model, under the premise of constant temperature, pressure and gas composition, the effective gas diffusion coefficient Γ in the air is a fixed value, which can be determined by experimental data.

[0077] Here, the air density in the initial state and the concentration of pollutants in the air can be detected by the detection device set in the terminal; that is, when the terminal sends the spatial data and the wind data to the server, the detection is obtained. The air density and the concentration of pollutants in the air. The velocity component of the clean air in the direction of the Cartesian coordinate component (u i ) Can be obtained by combining the wind speed and wind direction in the wind model with the Cartesian coordinate system.

[0078] Step 204: The server obtains the position corresponding to the air flow model that meets the condition, and sends the position generation data processing result to the terminal; where the satisfying condition includes: the airflow in the space model has the fastest overall circulation.

[0079] Here, the obtaining the position corresponding to the airflow flow model that satisfies the condition includes: obtaining the pollutant concentration reduction rate of the terminal at a plurality of positions based on the preset gas flow model; obtaining at least one that is within the preset rate range At least one position corresponding to the pollutant concentration reduction rate is taken as the position corresponding to the air flow model that satisfies the condition.

[0080] Specifically, in this embodiment, based on the space model and the air outlet model, the server simulates the air flow model formed when the terminal emits wind at different positions in the space model, and obtains that the terminal is at different positions. The rate at which the concentration of pollutants decreases over a period of time. It can be understood that in the same time range of the simulation, the pollutant concentration reduction rate obtained when the terminal is at different positions in space can be different, and the pollutant concentration reduction rate obtained at some locations is larger, indicating that the terminal The overall circulation of the airflow formed when the air is discharged from the position is faster; the rate of reduction in the concentration of pollutants obtained at some positions is relatively small, indicating that the overall circulation of the airflow formed when the terminal is aired at this position is slow. Based on this, in this embodiment, a rate range can be configured based on multiple simulation results, and the obtained airflow flow models whose pollutant concentration reduction rates fall within the rate range are all regarded as airflow models that meet the conditions.

[0081] Based on the above description, the server obtains at least one position corresponding to at least one pollutant concentration reduction rate within the preset rate range, uses the at least one position as the position corresponding to the airflow flow model that meets the conditions, and converts the At least one location generated data processing result is sent to the terminal.

[0082] Step 205: The terminal controls the movement of the terminal itself based on the recommended location in the data processing result.

[0083] Here, the terminal receives the data processing result sent by the server; the data processing result includes at least one location; the data processing result may also include the pollutant concentration reduction rate corresponding to each location. Based on this, the terminal can select the location where the pollutant concentration decreases the most and control itself to move to the location. Of course, the terminal can also be configured according to a preset, or manually select a position to be moved, and then control itself to move to the selected position.

[0084] Using the technical solution of the embodiment of the present invention, the server performs simulation calculations based on the air outlet model and space model of the terminal to obtain the best position with the fastest overall circulation of airflow, so that the terminal controls itself to move to the best position, so that the Under the premise of changing the terminal hardware structure and increasing the fan blade speed, the air purification efficiency of the terminal is greatly improved, and the user's operating experience is improved.

[0085] Example two

[0086] The embodiment of the present invention also provides a control method, which is applied in a terminal. image 3 Is a schematic flow chart of the control method of the second embodiment of the present invention; image 3 As shown, the method includes:

[0087] Step 301: The terminal collects spatial data and its own wind data, and sends the spatial data and the wind data to the server.

[0088] In this embodiment, the terminal has an air purification function, that is, it can suck in external air and send out purified clean air through the internal purification function; based on this, the terminal has at least an air inlet and an air outlet. As an illustration, the terminal may be an air purifier in practical applications.

[0089] Here, the spatial data is spatial data in the spatial area where the terminal is located. Taking the ground where the terminal is located as an example, the spatial data may include: spatial height, spatial length and width, etc.; here, The space refers to: when the room where the terminal is located is an empty room, that is, when there are no objects in the room, the space is the room; when the room where the terminal is located is provided with objects, such as a home At the time, the space is other space in the room except the objects set up. It can be understood that the space is a space where air can circulate and form an air flow. In this embodiment, the terminal collecting spatial data includes: the terminal collecting image data and distance data, and generating spatial data based on the image data and the distance data; wherein the distance data represents the relationship between the terminal and the distance data. The distance between obstructions in the space. Specifically, the terminal may be provided with an image sensor and a distance sensor; the image sensor and the distance sensor may be provided in multiples, or the image sensor and the distance sensor may be rotated, so as to obtain a complete The spatial data of the spatial region.

[0090] In this embodiment, the wind data includes the wind speed and wind direction of the clean air. Wherein, the wind speed and the wind direction can be determined according to the pre-configuration of the working mode of the terminal.

[0091] In this embodiment, the terminal has a communication function, that is, it can send the collected data to the server through the communication function. Preferably, the communication function may be a wireless communication function, and the wireless communication function may be implemented based on any wireless communication technology such as wireless fidelity (WiFi) technology, which will not be repeated here.

[0092] Step 302: Receive the data processing result sent by the server, and control the movement of the terminal itself based on the recommended location in the data processing result.

[0093] Here, the terminal receives the data processing result sent by the server; the data processing result includes at least one location; the data processing result may also include the pollutant concentration reduction rate corresponding to each location. Based on this, the terminal can select the location where the pollutant concentration decreases the most and control itself to move to the location. Of course, the terminal can also be configured according to a preset, or manually select a position to be moved, and then control itself to move to the selected position.

[0094] Example three

[0095] The embodiment of the present invention also provides a control method, which is applied to a server. Figure 4 Is a schematic flow chart of the control method of the third embodiment of the present invention; Figure 4 As shown, the method includes:

[0096] Step 401: The server obtains the spatial data and the wind data sent by the terminal, establishes a spatial model based on the spatial data, and establishes a wind model based on the wind data.

[0097] Here, on the one hand, the server establishes a space model based on the space data sent by the terminal; specifically, the server can establish a three-dimensional space model of the space where the terminal is located based on the image data and distance data sent by the terminal; The three-dimensional space model can reflect the space area where the terminal is located. On the other hand, the server establishes a clean air outlet model based on the air outlet data sent by the terminal, including the air outlet speed and direction of the clean air; the air outlet model can reflect the clean air output by the terminal The flow and diffusion of air.

[0098] Step 402: Based on the space model and a preset gas flow model, calculate multiple airflow flow models formed when the terminal is at multiple positions in the space model and output wind according to the airflow model.

[0099] Here, based on the space model and the preset gas flow model, the multiple airflow flow models that are formed when the terminal is at multiple positions in the space model and are discharged according to the airflow model include: Based on Boussinesq assumptions and turbulent flow model to obtain a preset gas flow model;

[0100] Based on the space model and the preset gas flow model, multiple airflow flow models formed when the terminal is at multiple positions in the space model and are discharged according to the airflow model are calculated.

[0101] Among them, the Boussinesq hypothesis holds that: the change of density does not significantly change the properties of the fluid, that is, the viscosity, etc. remain unchanged; at the same time, in the conservation of momentum, the change of density affects the inertial force term. The influence of the pressure difference term and the viscous force term can be ignored, and only the influence on the mass force term is considered.

[0102] Specifically, the obtained preset gas flow model can be expressed by formula (1):

[0103]

[0104] Among them, ρ represents the air density; φ(t) represents the concentration of pollutants in the air at time t, and the pollutants are mainly PM2.5 and PM10 pollutants; u i (i=1, 2, 3) is the velocity component of the clean air in the direction of the Cartesian coordinate component; Γ represents the effective diffusion coefficient of gas in the air (m 2 /s); s φ Represents the generalized source term; the generalized source term represents the unsteady-state term that cannot be included in the governing equation. Considering the gas flow generated by a stable gas jet source in a fixed space in this model, the generalized source term s φ Can be set as a constant; x i Represents a space coordinate vector, such as x 1 Represents the x-axis coordinate; x 2 Represents the y-axis coordinate; x 3 Represents the z-axis coordinates and so on.

[0105] In the embodiment of the present invention, it is assumed in the gas flow model that the main composition of the gas is clean air and polluted air containing PM2.5 and/or PM10, and the diffusion medium is not much different. The factors that affect the gas diffusion coefficient include temperature, pressure, gas density, etc. The assumptions of the gas flow model in the embodiment of the present invention are: 1) The temperature is assumed to be stable during the diffusion process, temperature conduction is not considered, and the impact of heat transfer is ignored; 2), the diffusion coefficient is isotropic; 3), no chemical reaction occurs during the diffusion process, and the gas density is uniform. Therefore, in the gas flow model, under the premise of constant temperature, pressure and gas composition, the effective gas diffusion coefficient Γ in the air is a fixed value, which can be determined by experimental data.

[0106] Here, the air density in the initial state and the concentration of pollutants in the air can be detected by the detection device set in the terminal; that is, when the terminal sends the spatial data and the wind data to the server, the detection is obtained. The air density and the concentration of pollutants in the air. The velocity component of the clean air in the direction of the Cartesian coordinate component (u i ) Can be obtained by combining the wind speed and wind direction in the wind model with the Cartesian coordinate system.

[0107] Step 403: Obtain the position corresponding to the airflow flow model that satisfies the condition, and send the position generation data processing result to the terminal; where the satisfying condition includes: the airflow in the space model has the fastest overall circulation.

[0108] Here, the obtaining the position corresponding to the airflow flow model that satisfies the condition includes: obtaining the pollutant concentration reduction rate of the terminal at a plurality of positions based on the preset gas flow model; obtaining at least one that is within the preset rate range At least one position corresponding to the pollutant concentration reduction rate is taken as the position corresponding to the air flow model that satisfies the condition.

[0109] Specifically, in this embodiment, based on the space model and the air outlet model, the server simulates the air flow model formed when the terminal emits wind at different positions in the space model, and obtains that the terminal is at different positions. The rate at which the concentration of pollutants decreases over a period of time. It can be understood that in the same time range of the simulation, the pollutant concentration reduction rate obtained when the terminal is at different positions in space can be different, and the pollutant concentration reduction rate obtained at some locations is larger, indicating that the terminal The overall circulation of the airflow formed when the air is discharged from the position is faster; the rate of reduction in the concentration of pollutants obtained at some positions is relatively small, indicating that the overall circulation of the airflow formed when the terminal is aired at this position is slow. Based on this, in this embodiment, a rate range can be configured based on multiple simulation results, and the obtained airflow flow models whose pollutant concentration reduction rates fall within the rate range are all regarded as airflow models that meet the conditions.

[0110] Based on the above description, the server obtains at least one position corresponding to at least one pollutant concentration reduction rate within the preset rate range, uses the at least one position as the position corresponding to the airflow flow model that meets the conditions, and converts the At least one location generated data processing result is sent to the terminal.