Self-adaptive noise reduction method and device applied to multi-head induction cooker

Abstract

The invention relates to the technical field of multi-head induction cookers, and discloses a self-adaptive noise reduction method and device applied to a multi-head induction cooker, the multi-head induction cooker comprises a plurality of induction cooker areas, and the method comprises the following steps: collecting a temperature field distribution parameter, a sound field distribution parameter and an electric ripple parameter of each induction cooker area in a preset first time period; for each induction cooker area, inputting the temperature field distribution parameter of the induction cooker area into a pre-trained thermal field prediction model to obtain a temperature change gradient parameter of the induction cooker area in a preset second time period; judging whether the calculated target harmonic distortion characteristic parameter of the induction cooker area is greater than or equal to a corresponding preset harmonic distortion characteristic threshold parameter, and obtaining a judgment result; and calculating a target heat dissipation control moment and a target heat dissipation control parameter of the induction cooker area according to the judgment result, the temperature change gradient parameter and the sound field distribution parameter. Therefore, the self-adaptive noise reduction accuracy and flexibility of the multi-head induction cooker can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of multi - head induction cookers, and particularly to an adaptive noise reduction method and device applied to a multi - head induction cooker. Background Art

[0002] As a core heating device for modern commercial kitchens and high - end households, the performance of a multi - head induction cooker is directly related to cooking efficiency, energy consumption, and user experience.

[0003] With the increase in the power density of induction cookers and the growing demand for multi - burner collaborative work, in order to quickly cool down, the traditional solution starts the cooling system (such as a cooling fan) when the induction cooker starts, resulting in significant noise during the startup phase, and the cooling air flow interferes with heat convection, which instead delays the heating efficiency.

[0004] It can be seen that how to improve the accuracy and flexibility of adaptive noise reduction for multi - head induction cookers is particularly important. Summary of the Invention

[0005] The present invention provides an adaptive noise reduction method and device applied to a multi - head induction cooker, which can improve the accuracy and flexibility of adaptive noise reduction for the multi - head induction cooker.

[0006] To solve the above - mentioned technical problems, in a first aspect of the present invention, an adaptive noise reduction method applied to a multi - head induction cooker is disclosed. The multi - head induction cooker includes a plurality of induction cooker areas, and the method includes:

[0007] Collect the temperature field distribution parameters, sound field distribution parameters, and electric ripple parameters of each induction cooker area within a preset first time period;

[0008] For each of the induction cooker areas, input the temperature field distribution parameters of the induction cooker area into a pre - trained thermal field prediction model to obtain the temperature change gradient parameters of the induction cooker area within a preset second time period; calculate the target harmonic distortion characteristic parameters of the electric ripple parameters of the induction cooker area;

[0009] Judge whether the target harmonic distortion characteristic parameters are greater than or equal to the preset harmonic distortion characteristic threshold parameters of the induction cooker area to obtain a judgment result. The preset harmonic distortion characteristic threshold parameters are calculated according to the obtained real - time regional environment temperature parameters of the corresponding induction cooker area and the real - time induction cooker load parameters of the multi - head induction cooker;

[0010] According to the judgment result, the temperature change gradient parameters, and the sound field distribution parameters, calculate the target heat dissipation control moment and the target heat dissipation control parameters of the induction cooker area. The target heat dissipation control parameters are used to instruct the target heat dissipation device to perform a heat dissipation control operation matching the target heat dissipation control parameters at the target heat dissipation control moment.

[0011] As an alternative implementation, in the first aspect of the present invention, the pre-trained thermal field prediction model includes a long short-term memory network;

[0012] The pre-trained thermal field prediction model is obtained by the following training method:

[0013] For each induction cooker area, collect the spatio-temporal temperature field sequence parameters of this induction cooker area;

[0014] According to the spatio-temporal temperature field sequence parameters, calculate the vortex diffusion characteristic parameters of this induction cooker area and the boundary convection characteristic parameters within a preset first range of this induction cooker area;

[0015] Input the vortex diffusion characteristic parameters, the boundary convection characteristic parameters, and the historical heat dissipation control parameters into the initial thermal field prediction model to obtain the pre-trained thermal field prediction model, and the loss function of the pre-trained thermal field prediction model is the mean square error between the predicted gradient and the measured gradient.

[0016] As an alternative implementation, in the first aspect of the present invention, the electro-ripple parameters include multiple harmonic frequency parameters and multiple harmonic amplitude parameters; calculating the target harmonic distortion characteristic parameters of the electro-ripple parameters of this induction cooker area includes:

[0017] According to the preset windowed fast Fourier algorithm and all the harmonic frequency parameters of this induction cooker area, calculate the dominant harmonic frequency parameters of the electro-ripple parameters of this induction cooker area;

[0018] According to all the harmonic amplitude parameters of this induction cooker area, calculate the harmonic distortion characteristic parameters of the electro-ripple parameters of this induction cooker area;

[0019] According to the dominant harmonic frequency parameters and the harmonic distortion characteristic parameters, calculate the target harmonic distortion characteristic parameters of the electro-ripple parameters of this induction cooker area.

[0020] As an alternative implementation, in the first aspect of the present invention, the calculation method of the preset harmonic distortion characteristic threshold parameter is:

[0021] Obtain the historical application scenario parameters corresponding to this induction cooker area;

[0022] According to the historical application scenario parameters, calculate the environmental characteristic parameters corresponding to this induction cooker area;

[0023] According to the environmental characteristic parameters, determine the initial harmonic distortion characteristic threshold parameter corresponding to this induction cooker area;

[0024] Calculate a first target distance value between the obtained real-time regional environmental temperature parameter corresponding to the induction cooker area and the preset environmental temperature threshold parameter range corresponding to the induction cooker area;

[0025] According to the first target distance value, match a first correction priority parameter of the initial harmonic distortion characteristic threshold parameter;

[0026] According to the first correction priority parameter, the initial harmonic distortion characteristic threshold parameter, and the obtained real-time induction cooker load parameter of the multi-head induction cooker, calculate the preset harmonic distortion characteristic threshold parameter corresponding to the induction cooker area.

[0027] As an optional implementation manner, in the first aspect of the present invention, the calculating the preset harmonic distortion characteristic threshold parameter corresponding to the induction cooker area according to the first correction priority parameter, the initial harmonic distortion characteristic threshold parameter, and the obtained real-time induction cooker load parameter of the multi-head induction cooker includes:

[0028] According to the first correction priority parameter and the initial harmonic distortion characteristic threshold parameter, calculate a preliminary harmonic distortion characteristic threshold parameter;

[0029] Calculate a second target distance value between the obtained real-time induction cooker load parameter of the multi-head induction cooker and the preset induction cooker load threshold parameter of the multi-head induction cooker;

[0030] According to the second target distance value, match a second correction priority parameter of the preliminary harmonic distortion characteristic threshold parameter and a target correction model parameter of the preliminary harmonic distortion characteristic threshold parameter, where the target correction model parameter is used to indicate correcting the preliminary harmonic distortion characteristic threshold parameter to a regression model or an exponential function correction model;

[0031] According to the second correction priority, the target correction model parameter, and the preliminary harmonic distortion characteristic threshold parameter, calculate the preset harmonic distortion characteristic threshold parameter corresponding to the induction cooker area.

[0032] As an optional implementation manner, in the first aspect of the present invention, the sound field distribution parameter includes a high-frequency resonance peak energy parameter, and the calculating the target heat dissipation control time and the target heat dissipation control parameter of the induction cooker area according to the judgment result, the temperature change gradient parameter, and the sound field distribution parameter includes:

[0033] According to the temperature change gradient parameter and the high-frequency resonance peak energy parameter in the sound field distribution parameter, calculate the target heat dissipation control time and the initial heat dissipation control parameter of the induction cooker area;

[0034] Calculate the range of the regional heat dissipation control frequency parameter of the target heat dissipation device corresponding to the induction cooker area according to the target harmonic distortion characteristic parameter of the induction cooker area, the dominant harmonic frequency parameter of the calculated ripple parameter of the induction cooker area, and the preset random frequency jitter parameter range;

[0035] When the judgment result is that the target harmonic distortion characteristic parameter is judged to be less than the preset harmonic distortion characteristic threshold parameter of the induction cooker area, then calculate the target heat dissipation control parameter of the induction cooker area according to the range of the regional heat dissipation control frequency parameter of the induction cooker area and the initial heat dissipation control parameter;

[0036] When the judgment result is that the target harmonic distortion characteristic parameter is judged to be greater than or equal to the preset harmonic distortion characteristic threshold parameter of the induction cooker area, then generate a reverse cancellation sound wave parameter according to the dominant harmonic frequency parameter; match the air duct opening parameter corresponding to the target heat dissipation device according to the reverse cancellation sound wave parameter; calculate the target heat dissipation control parameter of the induction cooker area according to the range of the regional heat dissipation control frequency parameter of the induction cooker area, the initial heat dissipation control parameter, the reverse cancellation sound wave parameter, and the air duct opening parameter.

[0037] As an optional implementation manner, in the first aspect of the present invention, the method further includes:

[0038] Calculate the regional dynamic heat flux parameter within the preset second range according to the temperature field distribution parameter of the induction cooker area and other induction cooker areas within the preset second range of the induction cooker area;

[0039] Judge whether the regional dynamic heat flux parameter is greater than or equal to a preset heat flux threshold parameter, and the preset heat flux threshold parameter is calculated according to the real-time induction cooker load parameter of the multi-head induction cooker;

[0040] When it is judged that the regional dynamic heat flux parameter is greater than or equal to the preset heat flux threshold parameter, then determine a target temperature area within the preset second range according to the temperature field distribution parameter of the induction cooker area and other induction cooker areas within the preset second range of the induction cooker area, and the temperature parameter of the target temperature area is greater than the preset temperature parameter threshold;

[0041] Generate the regional priority temperature control heat dissipation parameter of the target heat dissipation device according to the target temperature area, so as to perform a matching regional priority heat dissipation operation on the target temperature area;

[0042] And, the method further includes:

[0043] Based on the sound field distribution parameters of the induction cooker area and other induction cooker areas within a preset second range of the induction cooker area, determine whether the regional sound field distribution parameters of the target temperature area are greater than or equal to a preset regional sound field distribution threshold parameter;

[0044] When it is determined that the regional sound field distribution parameters of the target temperature area are greater than or equal to the preset regional sound field distribution threshold parameter, then calculate the air duct wind direction parameters corresponding to the target heat dissipation device according to the target temperature area;

[0045] Generate the regional priority noise reduction parameters of the target heat dissipation device according to the air duct wind direction parameters, so as to perform a matching regional priority noise reduction operation on the target temperature area.

[0046] A second aspect of the present invention discloses an adaptive noise reduction device applied to a multi-head induction cooker. The multi-head induction cooker includes a plurality of induction cooker areas, and the device includes:

[0047] An acquisition module for acquiring the temperature field distribution parameters, sound field distribution parameters, and electric ripple parameters of each induction cooker area within a preset first period;

[0048] A prediction module for inputting the temperature field distribution parameters of each induction cooker area into a pre-trained thermal field prediction model to obtain the temperature change gradient parameters of the induction cooker area within a preset second period;

[0049] A first calculation module for calculating the target harmonic distortion characteristic parameters of the electric ripple parameters of the induction cooker area;

[0050] A judgment module for judging whether the target harmonic distortion characteristic parameters are greater than or equal to the preset harmonic distortion characteristic threshold parameters of the induction cooker area to obtain a judgment result. The preset harmonic distortion characteristic threshold parameters are calculated by the first calculation module according to the acquired real-time regional environment temperature parameters of the corresponding induction cooker area and the real-time induction cooker load parameters of the multi-head induction cooker;

[0051] A control module for calculating the target heat dissipation control moment and target heat dissipation control parameters of the induction cooker area according to the judgment result, the temperature change gradient parameters, and the sound field distribution parameters. The target heat dissipation control parameters are used to instruct the target heat dissipation device to perform a heat dissipation control operation matching the target heat dissipation control parameters at the target heat dissipation control moment.

[0052] As an optional implementation manner, in the second aspect of the present invention, the pre-trained thermal field prediction model includes a long short-term memory network;

[0053] The pre-trained thermal field prediction model is trained in the following manner:

[0054] For each of the induction cooker regions, collect the spatio-temporal temperature field sequence parameters of the induction cooker region;

[0055] According to the spatio-temporal temperature field sequence parameters, calculate the vortex diffusion characteristic parameters of the induction cooker region and the boundary convection characteristic parameters within a preset first range of the induction cooker region;

[0056] Input the vortex diffusion characteristic parameters, the boundary convection characteristic parameters, and the historical heat dissipation control parameters into an initial thermal field prediction model to obtain the pre-trained thermal field prediction model, and the loss function of the pre-trained thermal field prediction model is the mean square error between the predicted gradient and the measured gradient.

[0057] As an optional implementation manner, in the second aspect of the present invention, the electro-ripple parameters include a plurality of harmonic frequency parameters and a plurality of harmonic amplitude parameters; the specific manner in which the first calculation module calculates the target harmonic distortion characteristic parameters of the electro-ripple parameters of the induction cooker region includes:

[0058] According to the preset windowed fast Fourier algorithm and all the harmonic frequency parameters of the induction cooker region, calculate the dominant harmonic frequency parameters of the electro-ripple parameters of the induction cooker region;

[0059] According to all the harmonic amplitude parameters of the induction cooker region, calculate the harmonic distortion characteristic parameters of the electro-ripple parameters of the induction cooker region;

[0060] According to the dominant harmonic frequency parameters and the harmonic distortion characteristic parameters, calculate the target harmonic distortion characteristic parameters of the electro-ripple parameters of the induction cooker region.

[0061] As an optional implementation manner, in the second aspect of the present invention, the calculation method of the first calculation module for the preset harmonic distortion characteristic threshold parameter is:

[0062] Obtain the historical application scenario parameters corresponding to the induction cooker region;

[0063] According to the historical application scenario parameters, calculate the environmental characteristic parameters corresponding to the induction cooker region;

[0064] According to the environmental characteristic parameters, determine the initial harmonic distortion characteristic threshold parameters corresponding to the induction cooker region;

[0065] Calculate the first target distance value between the real-time regional environmental temperature parameter obtained corresponding to the induction cooker region and the preset environmental temperature threshold parameter range corresponding to the induction cooker region;

[0066] Match a first correction priority parameter of the initial harmonic distortion characteristic threshold parameter according to the first target distance value;

[0067] Calculate the preset harmonic distortion characteristic threshold parameter corresponding to the induction cooker area according to the first correction priority parameter, the initial harmonic distortion characteristic threshold parameter, and the obtained real-time induction cooker load parameter of the multi-head induction cooker.

[0068] As an optional implementation manner, in the second aspect of the present invention, the specific manner in which the first calculation module calculates the preset harmonic distortion characteristic threshold parameter corresponding to the induction cooker area according to the first correction priority parameter, the initial harmonic distortion characteristic threshold parameter, and the obtained real-time induction cooker load parameter of the multi-head induction cooker includes:

[0069] Calculate a preliminary harmonic distortion characteristic threshold parameter according to the first correction priority parameter and the initial harmonic distortion characteristic threshold parameter;

[0070] Calculate a second target distance value between the obtained real-time induction cooker load parameter of the multi-head induction cooker and the preset induction cooker load threshold parameter of the multi-head induction cooker;

[0071] Match a second correction priority parameter of the preliminary harmonic distortion characteristic threshold parameter and a target correction model parameter of the preliminary harmonic distortion characteristic threshold parameter according to the second target distance value, where the target correction model parameter is used to indicate that the preliminary harmonic distortion characteristic threshold parameter is corrected to a regression model or an exponential function correction model;

[0072] Calculate the preset harmonic distortion characteristic threshold parameter corresponding to the induction cooker area according to the second correction priority, the target correction model parameter, and the preliminary harmonic distortion characteristic threshold parameter.

[0073] As an optional implementation manner, in the second aspect of the present invention, the sound field distribution parameter includes a high-frequency resonance peak energy parameter, and the specific manner in which the control module calculates the target heat dissipation control time and the target heat dissipation control parameter of the induction cooker area according to the judgment result, the temperature change gradient parameter, and the sound field distribution parameter includes:

[0074] Calculate the target heat dissipation control time and the initial heat dissipation control parameter of the induction cooker area according to the temperature change gradient parameter and the high-frequency resonance peak energy parameter in the sound field distribution parameter;

[0075] Calculate the range of the regional heat dissipation control frequency parameter of the target heat dissipation device corresponding to the induction cooker area according to the target harmonic distortion characteristic parameter of the induction cooker area, the dominant harmonic frequency parameter of the calculated ripple parameter of the induction cooker area, and the preset random frequency jitter parameter range.

[0076] When the judgment result is that the target harmonic distortion characteristic parameter is judged to be less than the preset harmonic distortion characteristic threshold parameter of the induction cooker area, then calculate the target heat dissipation control parameter of the induction cooker area according to the range of the regional heat dissipation control frequency parameter of the induction cooker area and the initial heat dissipation control parameter.

[0077] When the judgment result is that the target harmonic distortion characteristic parameter is judged to be greater than or equal to the preset harmonic distortion characteristic threshold parameter of the induction cooker area, then generate reverse anti-sound wave parameters according to the dominant harmonic frequency parameter; match the air duct opening parameter corresponding to the target heat dissipation device according to the reverse anti-sound wave parameters; calculate the target heat dissipation control parameter of the induction cooker area according to the range of the regional heat dissipation control frequency parameter of the induction cooker area, the initial heat dissipation control parameter, the reverse anti-sound wave parameters, and the air duct opening parameter.

[0078] As an optional implementation manner, in the second aspect of the present invention, the device further includes:

[0079] A second calculation module, configured to calculate the regional dynamic heat flux parameter within the preset second range according to the temperature field distribution parameter of the induction cooker area and other induction cooker areas within the preset second range of the induction cooker area.

[0080] The judgment module is further configured to judge whether the regional dynamic heat flux parameter is greater than or equal to a preset heat flux threshold parameter, and the preset heat flux threshold parameter is calculated according to the real-time induction cooker load parameter of the multi-head induction cooker.

[0081] A determination module, configured to when the judgment module judges whether the regional dynamic heat flux parameter is greater than or equal to the preset heat flux threshold parameter, then determine a target temperature area within the preset second range according to the temperature field distribution parameter of the induction cooker area and other induction cooker areas within the preset second range of the induction cooker area, and the temperature parameter of the target temperature area is greater than the preset temperature parameter threshold.

[0082] A generation module, configured to generate the regional priority temperature control heat dissipation parameter of the target heat dissipation device according to the target temperature area, so as to perform a matching regional priority heat dissipation operation on the target temperature area.

[0083] And, the determination module is further configured to determine whether the regional sound field distribution parameter of the target temperature region is greater than or equal to a preset regional sound field distribution threshold parameter according to the sound field distribution parameters of the electromagnetic induction cooker region and other electromagnetic induction cooker regions within a preset second range of the electromagnetic induction cooker region;

[0084] The second calculation module is further configured to calculate the air duct wind direction parameter corresponding to the target heat dissipation device according to the target temperature region when the determination module determines that the regional sound field distribution parameter of the target temperature region is greater than or equal to the preset regional sound field distribution threshold parameter;

[0085] The generation module is further configured to generate a regional priority noise reduction parameter of the target heat dissipation device according to the air duct wind direction parameter, so as to perform a matching regional priority noise reduction operation on the target temperature region.

[0086] A third aspect of the present invention discloses another adaptive noise reduction device applied to a multi-head electromagnetic induction cooker, and the device includes:

[0087] A memory storing executable program code;

[0088] A processor coupled to the memory;

[0089] The processor calls the executable program code stored in the memory and executes the adaptive noise reduction method applied to a multi-head electromagnetic induction cooker disclosed in the first aspect of the present invention.

[0090] A fourth aspect of the present invention discloses a computer storage medium, and the computer storage medium stores computer instructions, which are used to execute the adaptive noise reduction method applied to a multi-head electromagnetic induction cooker disclosed in the first aspect of the present invention when called.

[0091] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0092] In an embodiment of the present invention, the multi - head induction cooker includes multiple induction cooker areas, and temperature field distribution parameters, sound field distribution parameters, and electric ripple parameters of each induction cooker area within a preset first period are collected; for each induction cooker area, the temperature field distribution parameters of the induction cooker area are input into a pre - trained thermal field prediction model to obtain the temperature change gradient parameters of the induction cooker area within a preset second period; calculate the target harmonic distortion characteristic parameters of the electric ripple parameters of the induction cooker area; determine whether the target harmonic distortion characteristic parameters are greater than or equal to the preset harmonic distortion characteristic threshold parameters of the induction cooker area to obtain a judgment result, and the preset harmonic distortion characteristic threshold parameters are calculated according to the obtained real - time regional environmental temperature parameters of the corresponding induction cooker area and the real - time induction cooker load parameters of the multi - head induction cooker; according to the judgment result, temperature change gradient parameters, and sound field distribution parameters, calculate the target heat dissipation control moment and target heat dissipation control parameters of the induction cooker area, and the target heat dissipation control parameters are used to instruct the target heat dissipation device to perform a heat dissipation control operation matching the target heat dissipation control parameters at the target heat dissipation control moment.It can be seen that implementing the present invention can input the temperature field distribution parameters of each induction cooker area in the multi-head induction cooker collected within a preset first period into a pre-trained thermal field prediction model to predict the temperature change gradient parameters of the induction cooker area within a preset second period, so as to calculate in advance the temperature change gradient situation in the future period, dynamically predict the heat dissipation demand, improve the timeliness of the adaptive heat dissipation response of the multi-head induction cooker and reduce the risk of thermal runaway. Compared with starting heat dissipation immediately, it can also improve the flexibility of the adaptive noise reduction of the multi-head induction cooker. Based on the collected electrical ripple parameters of the induction cooker area, calculate the target harmonic distortion characteristic parameters to creatively evaluate the energy loss, electromagnetic interference, harmonic thermal effect, magnetostrictive effect or mechanical resonance situation of the induction cooker area from the degree of distortion of the harmonic components of the electrical signal in the induction cooker area. Furthermore, on the basis of ensuring the additional losses and temperature rise of the power devices and mechanical devices, further obtain a judgment result by determining whether the target harmonic distortion characteristic parameter is greater than or equal to the preset harmonic distortion threshold parameter of the induction cooker area, and generate a targeted heat dissipation and noise reduction strategy, which can improve the accuracy, comprehensiveness, timeliness and flexibility of the adaptive heat dissipation of the multi-head induction cooker from the temperature itself, the sound field itself, combined with the electromagnetic effect, while improving the accuracy, comprehensiveness and flexibility of the adaptive noise reduction of the multi-head induction cooker. And for the above-mentioned preset harmonic distortion characteristic threshold parameter, it can further be calculated by obtaining the real-time regional environmental temperature parameter of the corresponding induction cooker area and the real-time induction cooker load parameter of the multi-head induction cooker to realize the dynamic correction of the preset harmonic distortion characteristic threshold parameter and improve the environmental adaptability of the multi-head induction cooker. For example, in a high-temperature environment, it is beneficial to trigger noise reduction in advance to compensate for the loss of heat dissipation efficiency; in a high-load scenario, it is beneficial to avoid frequent false triggering of heat dissipation operations, ensuring the noise control stability of the system under extreme working conditions. Finally, according to the judgment result, the temperature change gradient parameter and the sound field distribution parameter, calculate the target heat dissipation control moment and the target heat dissipation control parameter of the induction cooker area. The target heat dissipation control parameter is used to instruct the target heat dissipation device to perform a heat dissipation control operation matching the target heat dissipation control parameter at the target heat dissipation control moment, which can further improve the generation accuracy of the target heat dissipation control parameter, thereby improving the accuracy and flexibility of the adaptive noise reduction of the multi-head induction cooker, and simultaneously improving the accuracy and flexibility of the adaptive heat dissipation of the multi-head induction cooker, which is beneficial to reducing the energy consumption of the multi-head induction cooker through the multi-modal collaborative adaptive noise reduction of the multi-head induction cooker and improving the application quality of the multi-head induction cooker in high-end household scenarios and commercial scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0093] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the accompanying drawings required for the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings.

[0094] Figure 1 It is a schematic flowchart of an adaptive noise reduction method applied to a multi - head induction cooker disclosed in an embodiment of the present invention;

[0095] Figure 2 It is a schematic flowchart of another adaptive noise reduction method applied to a multi - head induction cooker disclosed in an embodiment of the present invention;

[0096] Figure 3 It is a schematic structural diagram of an adaptive noise reduction device applied to a multi - head induction cooker disclosed in an embodiment of the present invention;

[0097] Figure 4 It is a schematic structural diagram of another adaptive noise reduction device applied to a multi - head induction cooker disclosed in an embodiment of the present invention;

[0098] Figure 5 It is a schematic structural diagram of yet another adaptive noise reduction device applied to a multi - head induction cooker disclosed in an embodiment of the present invention. Detailed implementation manners

[0099] To enable those skilled in the art of the present technology to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0100] Terms such as "first", "second", etc. in the specification and claims of the present invention and the above - mentioned accompanying drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "include" and "have" and any variations thereof are intended to cover non - exclusive inclusion. For example, a process, method, device, product or terminal that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products or terminals.

[0101] References to "embodiments" in this disclosure mean that a particular feature, structure, or characteristic described in connection with an embodiment can be included in at least one embodiment of the invention. The phrase appears in various places in the specification and is not necessarily referring to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive of other embodiments. Those skilled in the art will understand explicitly and implicitly that the embodiments described herein can be combined with other embodiments.

[0102] The present invention discloses an adaptive noise reduction method and device for a multi - head induction cooker. For each induction cooker area in the multi - head induction cooker, the temperature field distribution parameters of the induction cooker area collected within a preset first period are input into a pre - trained thermal field prediction model to predict the temperature change gradient parameters of the induction cooker area within a preset second period, so as to calculate in advance the temperature change gradient situation in the future period, dynamically predict the heat dissipation demand, improve the timeliness of the adaptive heat dissipation response of the multi - head induction cooker and reduce the risk of thermal runaway. Compared with starting heat dissipation immediately, it can also improve the flexibility of the adaptive noise reduction of the multi - head induction cooker. Based on the collected electric ripple parameters of the induction cooker area, the target harmonic distortion characteristic parameters are calculated to creatively evaluate the energy loss, electromagnetic interference, harmonic thermal effect, magnetostrictive effect or mechanical resonance situation in the induction cooker area from the degree of distortion of the harmonic components of the electrical signal in the induction cooker area. Furthermore, on the basis of ensuring the additional losses and temperature rise of power devices and mechanical devices, by further judging whether the target harmonic distortion characteristic parameters are greater than or equal to the preset harmonic distortion threshold parameter of the induction cooker area, a judgment result is obtained, and a targeted heat dissipation and noise reduction strategy is generated. It can improve the accuracy, comprehensiveness, timeliness and flexibility of the adaptive heat dissipation of the multi - head induction cooker from the temperature itself, the sound field itself, combined with the electromagnetic effect, while improving the accuracy, comprehensiveness and flexibility of the adaptive noise reduction of the multi - head induction cooker. And for the above - mentioned preset harmonic distortion threshold parameter, it can be further calculated by obtaining the real - time regional environmental temperature parameter of the corresponding induction cooker area and the real - time induction cooker load parameter of the multi - head induction cooker to realize the dynamic correction of the preset harmonic distortion threshold parameter and improve the environmental adaptability of the multi - head induction cooker. For example, in a high - temperature environment, it is beneficial to trigger noise reduction in advance to compensate for the loss of heat dissipation efficiency; in a high - load scenario, it is beneficial to avoid frequent false triggering of heat dissipation operations, ensuring the noise control stability of the system under extreme working conditions. Finally, according to the judgment result, the temperature change gradient parameter and the sound field distribution parameter, the target heat dissipation control moment and the target heat dissipation control parameter of the induction cooker area are calculated. The target heat dissipation control parameter is used to instruct the target heat dissipation device to perform a heat dissipation control operation matching the target heat dissipation control parameter at the target heat dissipation control moment, which can further improve the generation accuracy of the target heat dissipation control parameter, thereby improving the accuracy and flexibility of the adaptive noise reduction of the multi - head induction cooker, synchronously improving the accuracy and flexibility of the adaptive heat dissipation of the multi - head induction cooker, and being beneficial to reducing the energy consumption of the multi - head induction cooker through multi - modal collaborative adaptive noise reduction of the multi - head induction cooker and improving the application quality of the multi - head induction cooker in high - end household and commercial scenarios. The following will be described in detail respectively.

[0103] Embodiment 1

[0104] Please refer to Figure 1 , Figure 1It is a schematic flowchart of an adaptive noise reduction method applied to a multi - head induction cooker disclosed in an embodiment of the present invention. Among them, Figure 1 The described adaptive noise reduction method applied to a multi - head induction cooker can be applied to intelligent cooking devices with induction cookers, such as in multi - head induction cookers, and can also be applied to intelligent devices related to intelligent cooking devices. The intelligent devices include, but are not limited to, one or more of smart home devices, battery devices, cloud devices, edge computing devices, relay devices, base station devices, urban management devices, and intelligent connected devices. The embodiments of the present invention do not make limitations. Among them, the above - mentioned multi - head induction cooker can include multiple induction cooker areas, such as Figure 1 As shown, the adaptive noise reduction method applied to a multi - head induction cooker can include the following operations:

[0105] 101. Collect the temperature field distribution parameters, sound field distribution parameters, and electric ripple parameters of each induction cooker area within a preset first time period;

[0106] In an embodiment of the present invention, optionally, the above - mentioned temperature field distribution parameters, sound field distribution parameters, and electric ripple parameters can be collected in the following ways:

[0107] Temperature field distribution parameters: Install an infrared thermal imaging sensor (such as FLIRA315, accuracy ±2°C) on the surface of the coil in each induction cooker area, collect temperature distribution data at 0.5 - second intervals, and generate a two - dimensional temperature field matrix; or collect it through an image sensor;

[0108] Sound field distribution parameters: Arrange a broadband microphone array (4 Knowles MEMS microphones, frequency range 100Hz - 10kHz) on the top of the furnace body, and use the beamforming algorithm to locate the noise source position and calculate the sound pressure level;

[0109] Electric ripple parameters: Connect a high - precision Hall current sensor (Allegro ACS712, bandwidth 80kHz) to the power line, and capture the current waveform at a sampling rate of 50kHz;

[0110] It should be noted that the above - mentioned collection methods only provide an idea for collection, and there may be other collection ideas such as images, radar, etc. The embodiments of the present invention do not make specific limitations on this.

[0111] 102. For each induction cooker area, input the temperature field distribution parameters of the induction cooker area into a pre - trained thermal field prediction model to obtain the temperature change gradient parameters of the induction cooker area within a preset second time period;

[0112] In an embodiment of the present invention, as an alternative implementation, the above-mentioned pre-trained thermal field prediction model may include a long short-term memory network, and may further include other RNN model networks on this basis. Optionally, the pre-trained thermal field prediction model is trained in the following manner:

[0113] For each induction cooker area, collect the spatio-temporal temperature field sequence parameters of this induction cooker area;

[0114] According to the spatio-temporal temperature field sequence parameters, calculate the vortex diffusion characteristic parameters of this induction cooker area and the boundary convection characteristic parameters within a preset first range of this induction cooker area;

[0115] Input the vortex diffusion characteristic parameters, boundary convection characteristic parameters, and historical heat dissipation control parameters into the initial thermal field prediction model to obtain the pre-trained thermal field prediction model. The loss function of the pre-trained thermal field prediction model is the mean square error between the predicted gradient and the measured gradient.

[0116] In an embodiment of the present invention, optionally, the above-mentioned vortex diffusion characteristic parameters may include the heat flux vortex radius. Among them, the calculation method of the heat flux vortex radius can be based on the calculation of the non-Fourier heat conduction equation and combined with the thermal diffusivity;

[0117] Further optionally, the above-mentioned boundary convection characteristic parameters can be calculated based on the surface air velocity.

[0118] It can be seen that implementing this alternative embodiment can capture the long-term and short-term dependence relationships of the spatio-temporal temperature field based on the long short-term memory network, combine the vortex diffusion characteristics and boundary convection characteristics, improve the prediction accuracy of the temperature change gradient parameters of each induction cooker area. At the same time, based on the long short-term memory network, it can improve the convenience and efficiency of calculating and generating the temperature change gradient parameters of each induction cooker area, which is beneficial to realizing low-computing-power embedded real-time operation and improving the feasibility and stability of predicting the temperature change gradient parameters of each induction cooker area.

[0119] 103. Calculate the target harmonic distortion characteristic parameters of the electric ripple parameters of this induction cooker area;

[0120] In an embodiment of the present invention, as another alternative implementation, the above-mentioned electric ripple parameters include a plurality of harmonic frequency parameters and a plurality of harmonic amplitude parameters; and the calculation of the target harmonic distortion characteristic parameters of the electric ripple parameters of this induction cooker area includes:

[0121] According to the preset windowed fast Fourier algorithm and all the harmonic frequency parameters of this induction cooker area, calculate the dominant harmonic frequency parameters of the electric ripple parameters of this induction cooker area;

[0122] Calculate the harmonic distortion characteristic parameters of the electric ripple parameters in the induction cooker area based on all the harmonic amplitude parameters in the induction cooker area;

[0123] Calculate the target harmonic distortion characteristic parameters of the electric ripple parameters in the induction cooker area according to the dominant harmonic frequency parameters and the harmonic distortion characteristic parameters.

[0124] In an embodiment of the present invention, optionally, the above-mentioned harmonic distortion characteristic parameters may be the total harmonic distortion rate. Specifically, it can be calculated based on the fundamental wave effective value and the nth harmonic effective value;

[0125] Further optionally, the above-mentioned target harmonic distortion characteristic parameters may specifically be the dynamic safety frequency deviation threshold, which is calculated according to the dominant harmonic frequency parameters and their first preset coefficients and the harmonic distortion characteristic parameters and their second preset coefficients;

[0126] It can be seen that implementing this optional embodiment can reduce spectral leakage through the preset windowed fast Fourier algorithm, improve the calculation analysis accuracy and comprehensiveness of the dominant harmonic frequency parameters of the electric ripple parameters in the induction cooker area. At the same time, based on all the harmonic amplitude parameters in the induction cooker area, calculate the harmonic distortion characteristic parameters of the electric ripple parameters in the induction cooker area, which is beneficial to improving the heat dissipation adjustment adaptability and flexibility of the target heat dissipation device based on the harmonic distortion characteristic parameters, thereby improving the flexibility and accuracy of the adaptive noise reduction of the multi-head induction cooker, and is beneficial to further reducing the power consumption of the multi-head induction cooker.

[0127] 104. Determine whether the target harmonic distortion characteristic parameters are greater than or equal to the preset harmonic distortion characteristic threshold parameters in the induction cooker area to obtain a judgment result. The preset harmonic distortion characteristic threshold parameters are calculated according to the obtained real-time regional environment temperature parameters in the corresponding induction cooker area and the real-time induction cooker load parameters of the multi-head induction cooker;

[0128] In an embodiment of the present invention, as another optional implementation manner, the calculation method of the above-mentioned preset harmonic distortion characteristic threshold parameters may be:

[0129] Obtain the historical application scenario parameters in the corresponding induction cooker area;

[0130] Calculate the environmental characteristic parameters in the corresponding induction cooker area according to the historical application scenario parameters;

[0131] Determine the initial harmonic distortion characteristic threshold parameters in the corresponding induction cooker area according to the environmental characteristic parameters;

[0132] Calculate the first target distance value between the obtained real-time regional environment temperature parameters in the corresponding induction cooker area and the preset environmental temperature threshold parameter range in the corresponding induction cooker area;

[0133] Match the first correction priority parameter of the initial harmonic distortion characteristic threshold parameter according to the first target distance value;

[0134] Calculate the preset harmonic distortion characteristic threshold parameter of the corresponding induction cooker area according to the first correction priority parameter, the initial harmonic distortion characteristic threshold parameter, and the obtained real-time induction cooker load parameter of the multi-head induction cooker.

[0135] In the embodiment of the present invention, for the historical application scenario parameters, it may be based on the collected environmental temperature parameters and the load rate parameters of the multi-head induction cooker within a preset time range, and the classic scenarios are divided by cluster analysis, such as high temperature and high load, low temperature and low load, etc.;

[0136] It can be seen that implementing this optional embodiment can further calculate the environmental characteristic parameters of the corresponding induction cooker area through the obtained historical application scenario parameters of the corresponding induction cooker area, and then calculate the first target distance value between the real-time regional environmental temperature parameter of the corresponding induction cooker area and the preset environmental temperature threshold parameter range of the corresponding induction cooker area for the initial harmonic distortion characteristic threshold parameter of the corresponding induction cooker area; match the first correction priority parameter of the initial harmonic distortion characteristic threshold parameter according to the first target distance value; calculate the preset harmonic distortion characteristic threshold parameter of the corresponding induction cooker area according to the first correction priority parameter, the initial harmonic distortion characteristic threshold parameter, and the obtained real-time induction cooker load parameter of the multi-head induction cooker, so as to realize the dynamic correction of the preset harmonic distortion characteristic threshold parameter and improve the environmental adaptability of the multi-head induction cooker. For example, in a high-temperature environment, it is beneficial to trigger noise reduction in advance to compensate for the loss of heat dissipation efficiency; in a high-load scenario, it is beneficial to avoid frequent false triggering of heat dissipation operations, ensuring the noise control stability of the system under extreme working conditions.

[0137] In this optional embodiment, as an optional implementation manner, the above-mentioned calculation of the preset harmonic distortion characteristic threshold parameter of the corresponding induction cooker area according to the first correction priority parameter, the initial harmonic distortion characteristic threshold parameter, and the obtained real-time induction cooker load parameter of the multi-head induction cooker includes:

[0138] Calculate the preliminary harmonic distortion characteristic threshold parameter according to the first correction priority parameter and the initial harmonic distortion characteristic threshold parameter;

[0139] Calculate the second target distance value between the obtained real-time induction cooker load parameter of the multi-head induction cooker and the preset induction cooker load threshold parameter of the multi-head induction cooker;

[0140] Match the second correction priority parameter of the preliminary harmonic distortion characteristic threshold parameter and the target correction model parameter of the preliminary harmonic distortion characteristic threshold parameter according to the second target distance value, and the target correction model parameter is used to indicate that the preliminary harmonic distortion characteristic threshold parameter is corrected to a regression model or an exponential function correction model;

[0141] Calculate the preset harmonic distortion characteristic threshold parameter corresponding to the induction cooker area according to the second correction priority, the target correction model parameter, and the preliminary harmonic distortion characteristic threshold parameter.

[0142] It can be seen that implementing this optional embodiment can further, after calculating the preliminary harmonic distortion characteristic threshold parameter, obtain the second target distance value between the real-time induction cooker load parameter of the multi-head induction cooker and the preset induction cooker load threshold parameter of the multi-head induction cooker through calculation. According to the second target distance value, match the second correction priority parameter of the preliminary harmonic distortion characteristic threshold parameter and the target correction model parameter of the preliminary harmonic distortion characteristic threshold parameter. Calculate the preset harmonic distortion characteristic threshold parameter corresponding to the induction cooker area according to the second correction priority, the target correction model parameter, and the preliminary harmonic distortion characteristic threshold parameter, which can further improve the dynamic correction flexibility and accuracy of the preset harmonic distortion characteristic threshold parameter from the real-time load condition of the multi-head induction cooker, and improve the control accuracy and stability of the adaptive noise reduction of the multi-head induction cooker.

[0143] 105. Calculate the target heat dissipation control time and the target heat dissipation control parameter of the induction cooker area according to the judgment result, the temperature change gradient parameter, and the sound field distribution parameter. The target heat dissipation control parameter is used to instruct the target heat dissipation device to perform a heat dissipation control operation matching the target heat dissipation control parameter at the target heat dissipation control time.

[0144] It can be seen that implementing the embodiments of the present invention can input the temperature field distribution parameters of each induction cooker area in the multi-head induction cooker within a preset first period into a pre-trained thermal field prediction model during the preset second period for each induction cooker area in the multi-head induction cooker to predict the temperature change gradient parameters of the induction cooker area, so as to calculate in advance the temperature change gradient situation in the future period, dynamically predict the heat dissipation demand, improve the timeliness of the adaptive heat dissipation response of the multi-head induction cooker and reduce the risk of thermal runaway. Compared with dissipating heat immediately after startup, it can also improve the flexibility of the adaptive noise reduction of the multi-head induction cooker. Based on the collected electrical ripple parameters of the induction cooker area, the target harmonic distortion characteristic parameters are calculated to creatively evaluate the energy loss, electromagnetic interference, harmonic thermal effect, magnetostrictive effect or mechanical resonance situation of the induction cooker area from the degree of distortion of the harmonic components of the electrical signal in the induction cooker area. Furthermore, on the basis of ensuring the additional losses and temperature rise of the power devices and mechanical devices, by further determining whether the target harmonic distortion characteristic parameters are greater than or equal to the preset harmonic distortion threshold parameters of the induction cooker area, a judgment result is obtained, and a targeted heat dissipation and noise reduction strategy is generated. It can improve the accuracy, comprehensiveness, timeliness and flexibility of the adaptive heat dissipation of the multi-head induction cooker from the temperature itself, the sound field itself, combined with the electromagnetic effect, while improving the accuracy, comprehensiveness and flexibility of the adaptive noise reduction of the multi-head induction cooker. Moreover, for the above-mentioned preset harmonic distortion threshold parameters, they can be further calculated by obtaining the real-time regional environmental temperature parameters of the corresponding induction cooker area and the real-time induction cooker load parameters of the multi-head induction cooker to realize the dynamic correction of the preset harmonic distortion threshold parameters and improve the environmental adaptability of the multi-head induction cooker. For example, in a high-temperature environment, it is beneficial to trigger noise reduction in advance to compensate for the loss of heat dissipation efficiency; in a high-load scenario, it is beneficial to avoid frequent mis-triggering of heat dissipation operations, ensuring the noise control stability of the system under extreme working conditions. Finally, according to the judgment result, the temperature change gradient parameters and the sound field distribution parameters, the target heat dissipation control moment and the target heat dissipation control parameters of the induction cooker area are calculated. The target heat dissipation control parameters are used to instruct the target heat dissipation device to perform a heat dissipation control operation matching the target heat dissipation control parameters at the target heat dissipation control moment, which can further improve the generation accuracy of the target heat dissipation control parameters, thereby improving the accuracy and flexibility of the adaptive noise reduction of the multi-head induction cooker, synchronously improving the accuracy and flexibility of the adaptive heat dissipation of the multi-head induction cooker, and being beneficial to reducing the energy consumption of the multi-head induction cooker through the multi-modal collaborative adaptive noise reduction of the multi-head induction cooker and improving the application quality of the multi-head induction cooker in high-end household and commercial scenarios.

[0145] Embodiment 2

[0146] Please refer to Figure 2 , Figure 2 which is a schematic flowchart of another adaptive noise reduction method applied to a multi-head induction cooker disclosed in the embodiments of the present invention. Among them, Figure 2The described adaptive noise reduction method applied to a multi - head induction cooker can be applied to intelligent cooking devices with induction cookers, such as multi - head induction cookers, and can also be applied to intelligent devices related to intelligent cooking devices. The intelligent devices include, but are not limited to, one or more of smart home devices, battery devices, cloud devices, edge computing devices, relay devices, base station devices, urban management devices, and intelligent network - connected devices. The embodiments of the present invention do not make limitations. Among them, the above - mentioned multi - head induction cooker can include multiple induction cooker areas, such as Figure 2 As shown, the adaptive noise reduction method applied to a multi - head induction cooker may include the following operations:

[0147] 201. Collect the temperature field distribution parameters, sound field distribution parameters, and electric ripple parameters of each induction cooker area within a preset first time period. The sound field distribution parameters include high - frequency resonance peak energy parameters;

[0148] 202. For each induction cooker area, input the temperature field distribution parameters of the induction cooker area into a pre - trained thermal field prediction model to obtain the temperature change gradient parameters of the induction cooker area within a preset second time period;

[0149] 203. Calculate the target harmonic distortion characteristic parameters of the electric ripple parameters of the induction cooker area;

[0150] 204. Determine whether the target harmonic distortion characteristic parameters are greater than or equal to the preset harmonic distortion characteristic threshold parameters of the induction cooker area to obtain a judgment result. The preset harmonic distortion characteristic threshold parameters are calculated according to the obtained real - time regional environmental temperature parameters of the corresponding induction cooker area and the real - time induction cooker load parameters of the multi - head induction cooker;

[0151] 205. According to the temperature change gradient parameters and the high - frequency resonance peak energy parameters in the sound field distribution parameters, calculate the target heat dissipation control moment and the initial heat dissipation control parameters of the induction cooker area;

[0152] 206. According to the target harmonic distortion characteristic parameters of the induction cooker area, the dominant harmonic frequency parameters of the calculated electric ripple parameters of the induction cooker area, and the preset random frequency jitter parameter range, calculate the range of the area heat dissipation control frequency parameters of the target heat dissipation device corresponding to the induction cooker area;

[0153] 207. When the judgment result is that the target harmonic distortion characteristic parameters are judged to be less than the preset harmonic distortion characteristic threshold parameters of the induction cooker area, then according to the range of the area heat dissipation control frequency parameters of the induction cooker area and the initial heat dissipation control parameters, calculate the target heat dissipation control parameters of the induction cooker area. The target heat dissipation control parameters are used to instruct the target heat dissipation device to perform a heat dissipation control operation matching the target heat dissipation control parameters at the target heat dissipation control moment;

[0154] 208. When the judgment result is that the target harmonic distortion characteristic parameter is greater than or equal to the preset harmonic distortion characteristic threshold parameter of the induction cooker area, reverse cancellation sound wave parameters are generated according to the dominant harmonic frequency parameter;

[0155] 209. According to the reverse cancellation sound wave parameters, the air duct opening degree parameter corresponding to the target heat dissipation device is matched;

[0156] 210. According to the area heat dissipation control frequency parameter range, initial heat dissipation control parameter, reverse cancellation sound wave parameter and air duct opening degree parameter of the induction cooker area, the target heat dissipation control parameter of the induction cooker area is calculated. The target heat dissipation control parameter is used to instruct the target heat dissipation device to perform a heat dissipation control operation matching the target heat dissipation control parameter at the target heat dissipation control moment.

[0157] In the embodiments of the present invention, for the supplementary description of steps 201 - 204, please refer to the supplementary description of steps 101 - 104 in Embodiment 1, and the embodiments of the present invention will not elaborate on this.

[0158] It can be seen that implementing the embodiments of the present invention can, after judging whether the target harmonic distortion characteristic parameter is greater than or equal to the preset harmonic distortion characteristic threshold parameter of the induction cooker area and obtaining the judgment result, generate targeted heat dissipation and noise reduction strategies for different judgment results, and can improve the adaptive heat dissipation accuracy, comprehensiveness, timeliness and flexibility of the multi - head induction cooker from the temperature itself, the sound field itself, combined with the electromagnetic effect, while improving the adaptive noise reduction accuracy, comprehensiveness and flexibility of the multi - head induction cooker.

[0159] In the embodiments of the present invention, as an optional implementation manner, the method may further include the following operations:

[0160] According to the temperature field distribution parameters of the induction cooker area and other induction cooker areas within the preset second range of the induction cooker area, the regional dynamic heat flux parameter within the preset second range is calculated;

[0161] Judge whether the regional dynamic heat flux parameter is greater than or equal to the preset heat flux threshold parameter, and the preset heat flux threshold parameter is calculated according to the real - time induction cooker load parameter of the multi - head induction cooker;

[0162] When it is judged that the regional dynamic heat flux parameter is greater than or equal to the preset heat flux threshold parameter, according to the temperature field distribution parameters of the induction cooker area and other induction cooker areas within the preset second range of the induction cooker area, within the preset second range, a target temperature area is determined, and the temperature parameter of the target temperature area is greater than the preset temperature parameter threshold;

[0163] According to the target temperature area, the regional priority temperature control heat dissipation parameter of the target heat dissipation device is generated to perform a matching regional priority heat dissipation operation on the target temperature area;

[0164] Optionally, the method may further include the following operations:

[0165] Based on the sound field distribution parameters of the induction cooker area and other induction cooker areas within a preset second range of the induction cooker area, determine whether the regional sound field distribution parameters of the target temperature area are greater than or equal to the preset regional sound field distribution threshold parameter;

[0166] When it is determined that the regional sound field distribution parameters of the target temperature area are greater than or equal to the preset regional sound field distribution threshold parameter, calculate the air duct wind direction parameters corresponding to the target heat dissipation device according to the target temperature area;

[0167] Generate the regional priority noise reduction parameters of the target heat dissipation device according to the air duct wind direction parameters, so as to perform the corresponding regional priority noise reduction operation on the target temperature area.

[0168] It can be seen that implementing the embodiments of the present invention can further improve the control accuracy, comprehensiveness and flexibility of the adaptive noise reduction of the multi-head induction cooker by calculating the heat flux, multi-region heat flux collaborative control, air duct joint control, wind direction optimization and priority heat dissipation logic, which is beneficial to improving the heat dissipation efficiency, reducing the ineffective energy consumption, and preventing the wear of related equipment and devices on the basis of noise reduction, ensuring the equipment life, so as to achieve the balance of efficient heat dissipation and deep noise reduction, and deep noise reduction through multi-modal perception, dynamic threshold and collaborative control: electromagnetic-mechanical-sound field three-field coupling noise suppression; precise heat dissipation: pre-start and resource optimization based on heat field prediction; strong adaptability: dynamic threshold adapts to complex working conditions; high reliability: multi-region collaboration avoids local failure. Its comprehensive performance is significantly better than the traditional scheme, and it is applicable to scenarios with strict requirements for silent and efficient heat dissipation such as commercial kitchens and laboratories.

[0169] Embodiment III

[0170] Please refer to Figure 3 , Figure 3 which is a schematic structural diagram of an adaptive noise reduction device applied to a multi-head induction cooker disclosed in the embodiments of the present invention. Among them, the adaptive noise reduction device applied to the multi-head induction cooker can be applied to intelligent cooking equipment with induction cookers, such as multi-head induction cookers, and can also be applied to intelligent devices related to intelligent cooking equipment, and the intelligent devices include but are not limited to one or more of smart home devices, battery devices, cloud devices, edge computing devices, relay devices, base station devices, urban management devices, and intelligent networked devices, which are not limited in the embodiments of the present invention. Among them, the above-mentioned multi-head induction cooker may include multiple induction cooker areas. As Figure 3 shown, the adaptive noise reduction device applied to the multi-head induction cooker may include:

[0171] The acquisition module 301 is configured to acquire the temperature field distribution parameters, sound field distribution parameters, and electric ripple parameters of each induction cooker area within a preset first time period;

[0172] The prediction module 302 is configured to, for each induction cooker area, input the temperature field distribution parameters of the induction cooker area into a pre-trained thermal field prediction model to obtain the temperature change gradient parameters of the induction cooker area within a preset second time period;

[0173] The first calculation module 303 is configured to calculate the target harmonic distortion characteristic parameters of the electric ripple parameters of the induction cooker area;

[0174] The judgment module 304 is configured to judge whether the target harmonic distortion characteristic parameters are greater than or equal to the preset harmonic distortion characteristic threshold parameters of the induction cooker area to obtain a judgment result, and the preset harmonic distortion characteristic threshold parameters are calculated by the first calculation module 303 according to the acquired real-time regional environment temperature parameters of the corresponding induction cooker area and the real-time induction cooker load parameters of the multi-head induction cooker;

[0175] The control module 305 is configured to calculate the target heat dissipation control time and target heat dissipation control parameters of the induction cooker area according to the judgment result, temperature change gradient parameters, and sound field distribution parameters, and the target heat dissipation control parameters are used to instruct the target heat dissipation device to perform a heat dissipation control operation matching the target heat dissipation control parameters at the target heat dissipation control time.

[0176] It can be seen that implementing the embodiments of the present invention can input the temperature field distribution parameters of each induction cooker area in the multi-head induction cooker collected within a preset first period into a pre-trained thermal field prediction model to predict the temperature change gradient parameters of the induction cooker area within a preset second period, so as to calculate the temperature change gradient situation in the future period in advance, dynamically predict the heat dissipation demand, improve the timeliness of the adaptive heat dissipation response of the multi-head induction cooker and reduce the risk of thermal runaway. Compared with dissipating heat immediately after startup, it can also improve the flexibility of the adaptive noise reduction of the multi-head induction cooker. Based on the collected electrical ripple parameters of the induction cooker area, calculate the target harmonic distortion characteristic parameters to creatively evaluate the energy loss, electromagnetic interference, harmonic thermal effect, magnetostrictive effect or mechanical resonance situation of the induction cooker area from the degree of distortion of the harmonic components of the electrical signal in the induction cooker area. Furthermore, on the basis of ensuring the additional losses and temperature rise of the power devices and mechanical devices, further obtain a judgment result by determining whether the target harmonic distortion characteristic parameters are greater than or equal to the preset harmonic distortion threshold parameters of the induction cooker area, and generate a targeted heat dissipation and noise reduction strategy, which can improve the accuracy, comprehensiveness, timeliness and flexibility of the adaptive heat dissipation of the multi-head induction cooker from the temperature itself, the sound field itself, combined with the electromagnetic effect, while improving the accuracy, comprehensiveness and flexibility of the adaptive noise reduction of the multi-head induction cooker. And for the above-mentioned preset harmonic distortion threshold parameters, they can be further calculated by obtaining the real-time regional environmental temperature parameters of the corresponding induction cooker area and the real-time induction cooker load parameters of the multi-head induction cooker to realize the dynamic correction of the preset harmonic distortion threshold parameters and improve the environmental adaptability of the multi-head induction cooker. For example, in a high-temperature environment, it is beneficial to trigger noise reduction in advance to compensate for the loss of heat dissipation efficiency; in a high-load scenario, it is beneficial to avoid frequent false triggering of heat dissipation operations, ensuring the noise control stability of the system under extreme working conditions. Finally, according to the judgment result, the temperature change gradient parameters and the sound field distribution parameters, calculate the target heat dissipation control moment and the target heat dissipation control parameters of the induction cooker area. The target heat dissipation control parameters are used to instruct the target heat dissipation device to perform a heat dissipation control operation matching the target heat dissipation control parameters at the target heat dissipation control moment, which can further improve the generation accuracy of the target heat dissipation control parameters, thereby improving the accuracy and flexibility of the adaptive noise reduction of the multi-head induction cooker, and simultaneously improving the accuracy and flexibility of the adaptive heat dissipation of the multi-head induction cooker, which is beneficial to reducing the energy consumption of the multi-head induction cooker through the multi-modal collaborative adaptive noise reduction of the multi-head induction cooker and improving the application quality of the multi-head induction cooker in high-end household and commercial scenarios.

[0177] In the embodiments of the present invention, as an optional implementation manner, the above-mentioned pre-trained thermal field prediction model includes a long short-term memory network;

[0178] The pre-trained thermal field prediction model is trained through the following method:

[0179] For each induction cooker area, collect the spatio-temporal temperature field sequence parameters of the induction cooker area;

[0180] According to the spatio-temporal temperature field sequence parameters, calculate the vortex diffusion characteristic parameters of the induction cooker area and the boundary convection characteristic parameters within a preset first range of the induction cooker area;

[0181] Input the vortex diffusion characteristic parameters, boundary convection characteristic parameters, and historical heat dissipation control parameters into the initial heat field prediction model to obtain a pre-trained heat field prediction model. The loss function of the pre-trained heat field prediction model is the mean square error between the predicted gradient and the measured gradient.

[0182] It can be seen that implementing this optional embodiment can capture the long-term and short-term dependence relationships of the spatio-temporal temperature field based on the long short-term memory network, combine the vortex diffusion characteristics and boundary convection characteristics, improve the prediction accuracy of the temperature change gradient parameters of each induction cooker area. At the same time, based on the long short-term memory network, it can improve the convenience and efficiency of calculating and generating the temperature change gradient parameters of each induction cooker area, which is conducive to realizing low-computing-power embedded real-time operation, and improving the feasibility and stability of predicting the temperature change gradient parameters of each induction cooker area.

[0183] In the embodiment of the present invention, as another optional implementation manner, the above-mentioned electro-ripple parameters include multiple harmonic frequency parameters and multiple harmonic amplitude parameters; the specific manner in which the above-mentioned first calculation module 303 calculates the target harmonic distortion characteristic parameters of the electro-ripple parameters of the induction cooker area includes:

[0184] According to the preset windowed fast Fourier algorithm and all the harmonic frequency parameters of the induction cooker area, calculate the dominant harmonic frequency parameters of the electro-ripple parameters of the induction cooker area;

[0185] According to all the harmonic amplitude parameters of the induction cooker area, calculate the harmonic distortion characteristic parameters of the electro-ripple parameters of the induction cooker area;

[0186] According to the dominant harmonic frequency parameters and the harmonic distortion characteristic parameters, calculate the target harmonic distortion characteristic parameters of the electro-ripple parameters of the induction cooker area.

[0187] It can be seen that implementing this optional embodiment can reduce spectral leakage through the preset windowed fast Fourier algorithm, improve the calculation and analysis accuracy and comprehensiveness of the dominant harmonic frequency parameters of the electro-ripple parameters of the induction cooker area. At the same time, based on all the harmonic amplitude parameters of the induction cooker area, calculate the harmonic distortion characteristic parameters of the electro-ripple parameters of the induction cooker area, which is conducive to improving the heat dissipation regulation self-adaptability and flexibility of the target heat dissipation device based on the harmonic distortion characteristic parameters, thereby improving the flexibility and accuracy of adaptive noise reduction of the multi-head induction cooker, and being conducive to further reducing the power consumption of the multi-head induction cooker.

[0188] In an embodiment of the present invention, as another alternative embodiment, the calculation method of the first calculation module 303 for the preset harmonic distortion characteristic threshold parameter is as follows:

[0189] Obtain the historical application scenario parameters corresponding to the induction cooker area;

[0190] Calculate the environmental characteristic parameters corresponding to the induction cooker area according to the historical application scenario parameters;

[0191] Determine the initial harmonic distortion characteristic threshold parameter corresponding to the induction cooker area according to the environmental characteristic parameters;

[0192] Calculate the first target distance value between the obtained real-time regional environmental temperature parameter corresponding to the induction cooker area and the preset environmental temperature threshold parameter range corresponding to the induction cooker area;

[0193] Match the first correction priority parameter of the initial harmonic distortion characteristic threshold parameter according to the first target distance value;

[0194] Calculate the preset harmonic distortion characteristic threshold parameter corresponding to the induction cooker area according to the first correction priority parameter, the initial harmonic distortion characteristic threshold parameter, and the obtained real-time induction cooker load parameter of the multi-head induction cooker.

[0195] It can be seen that implementing this alternative embodiment can further calculate the environmental characteristic parameters corresponding to the induction cooker area by obtaining the historical application scenario parameters corresponding to the induction cooker area, and then calculate the initial harmonic distortion characteristic threshold parameter corresponding to the induction cooker area, and calculate the first target distance value between the obtained real-time regional environmental temperature parameter corresponding to the induction cooker area and the preset environmental temperature threshold parameter range corresponding to the induction cooker area; match the first correction priority parameter of the initial harmonic distortion characteristic threshold parameter according to the first target distance value; calculate the preset harmonic distortion characteristic threshold parameter corresponding to the induction cooker area according to the first correction priority parameter, the initial harmonic distortion characteristic threshold parameter, and the obtained real-time induction cooker load parameter of the multi-head induction cooker, so as to realize the dynamic correction of the preset harmonic distortion characteristic threshold parameter and improve the environmental adaptability of the multi-head induction cooker. For example, in a high-temperature environment, it is beneficial to trigger noise reduction in advance to compensate for the loss of heat dissipation efficiency; in a high-load scenario, it is beneficial to avoid frequent false triggering of heat dissipation operations, ensuring the noise control stability of the system under extreme working conditions.

[0196] In this alternative embodiment, as an alternative embodiment, the specific method for the first calculation module 303 to calculate the preset harmonic distortion characteristic threshold parameter corresponding to the induction cooker area according to the first correction priority parameter, the initial harmonic distortion characteristic threshold parameter, and the obtained real-time induction cooker load parameter of the multi-head induction cooker includes:

[0197] Calculate a preliminary harmonic distortion characteristic threshold parameter according to a first corrected priority parameter and an initial harmonic distortion characteristic threshold parameter;

[0198] Calculate a second target distance value between the obtained real-time induction cooker load parameter of the multi-head induction cooker and the preset induction cooker load threshold parameter of the multi-head induction cooker;

[0199] According to the second target distance value, match a second corrected priority parameter of the preliminary harmonic distortion characteristic threshold parameter and a target correction model parameter of the preliminary harmonic distortion characteristic threshold parameter, where the target correction model parameter is used to indicate correcting the preliminary harmonic distortion characteristic threshold parameter to a regression model or an exponential function correction model;

[0200] Calculate a preset harmonic distortion characteristic threshold parameter corresponding to the induction cooker area according to the second corrected priority, the target correction model parameter, and the preliminary harmonic distortion characteristic threshold parameter.

[0201] It can be seen that implementing this optional embodiment can further, after calculating the preliminary harmonic distortion characteristic threshold parameter, calculate a second target distance value between the obtained real-time induction cooker load parameter of the multi-head induction cooker and the preset induction cooker load threshold parameter of the multi-head induction cooker, and according to the second target distance value, match a second corrected priority parameter of the preliminary harmonic distortion characteristic threshold parameter and a target correction model parameter of the preliminary harmonic distortion characteristic threshold parameter, and calculate a preset harmonic distortion characteristic threshold parameter corresponding to the induction cooker area according to the second corrected priority, the target correction model parameter, and the preliminary harmonic distortion characteristic threshold parameter, which can further improve the dynamic correction flexibility and accuracy of the preset harmonic distortion characteristic threshold parameter from the real-time load condition of the multi-head induction cooker, and improve the control accuracy and stability of the adaptive noise reduction of the multi-head induction cooker.

[0202] In an optional embodiment, the above sound field distribution parameter includes a high-frequency resonance peak energy parameter, and the specific manner in which the control module 305 calculates the target heat dissipation control time and the target heat dissipation control parameter for the induction cooker area according to the judgment result, the temperature change gradient parameter, and the sound field distribution parameter includes:

[0203] Calculate the target heat dissipation control time and the initial heat dissipation control parameter for the induction cooker area according to the temperature change gradient parameter and the high-frequency resonance peak energy parameter in the sound field distribution parameter;

[0204] Calculate a range of area heat dissipation control frequency parameters of the target heat dissipation device corresponding to the induction cooker area according to the target harmonic distortion characteristic parameter of the induction cooker area, the dominant harmonic frequency parameter of the calculated electro-ripple parameter of the induction cooker area, and the preset random frequency jitter parameter range;

[0205] When the judgment result is that the target harmonic distortion characteristic parameter is judged to be less than the preset harmonic distortion characteristic threshold parameter of the induction cooker area, the target heat dissipation control parameter of the induction cooker area is calculated according to the area heat dissipation control frequency parameter range and the initial heat dissipation control parameter of the induction cooker area;

[0206] When the judgment result is that the target harmonic distortion characteristic parameter is judged to be greater than or equal to the preset harmonic distortion characteristic threshold parameter of the induction cooker area, the reverse cancellation wave parameter is generated according to the dominant harmonic frequency parameter; according to the reverse cancellation wave parameter, the air duct opening parameter corresponding to the target heat dissipation device is matched; according to the area heat dissipation control frequency parameter range, the initial heat dissipation control parameter, the reverse cancellation wave parameter and the air duct opening parameter of the induction cooker area, the target heat dissipation control parameter of the induction cooker area is calculated.

[0207] It can be seen that implementing the embodiments of the present invention can, after judging whether the target harmonic distortion characteristic parameter is greater than or equal to the preset harmonic distortion characteristic threshold parameter of the induction cooker area and obtaining the judgment result, generate targeted heat dissipation and noise reduction strategies for different judgment results, and can improve the adaptive heat dissipation accuracy, comprehensiveness, timeliness and flexibility of the multi-head induction cooker from the temperature itself, the sound field itself, combined with the electromagnetic effect, while improving the adaptive noise reduction accuracy, comprehensiveness and flexibility of the multi-head induction cooker.

[0208] In another optional embodiment, as Figure 4 shown, the device further includes:

[0209] A second calculation module 306, configured to calculate the area dynamic heat flux parameter within a preset second range according to the temperature field distribution parameters of the induction cooker area and other induction cooker areas within the preset second range of the induction cooker area;

[0210] The judgment module 304 is further configured to judge whether the area dynamic heat flux parameter is greater than or equal to a preset heat flux threshold parameter, and the preset heat flux threshold parameter is calculated according to the real-time induction cooker load parameter of the multi-head induction cooker;

[0211] The determination module 307 is configured to, when the judgment module 304 judges whether the area dynamic heat flux parameter is greater than or equal to the preset heat flux threshold parameter, determine a target temperature area within the preset second range according to the temperature field distribution parameters of the induction cooker area and other induction cooker areas within the preset second range of the induction cooker area, and the temperature parameter of the target temperature area is greater than the preset temperature parameter threshold;

[0212] The generation module 308 is configured to generate the area priority temperature control heat dissipation parameter of the target heat dissipation device according to the target temperature area, so as to perform a matching area priority heat dissipation operation on the target temperature area;

[0213] Moreover, the determination module 304 is further configured to determine whether the regional sound field distribution parameter of the target temperature region is greater than or equal to a preset regional sound field distribution threshold parameter according to the sound field distribution parameters of the electromagnetic induction cooker region and other electromagnetic induction cooker regions within a preset second range of the electromagnetic induction cooker region;

[0214] The second calculation module 306 is further configured to calculate the air duct wind direction parameter corresponding to the target heat dissipation device according to the target temperature region when the determination module 304 determines that the regional sound field distribution parameter of the target temperature region is greater than or equal to the preset regional sound field distribution threshold parameter;

[0215] The generation module 308 is further configured to generate the regional priority noise reduction parameter of the target heat dissipation device according to the air duct wind direction parameter, so as to perform a regionally prioritized noise reduction operation matching the target temperature region.

[0216] It can be seen that implementing the embodiments of the present invention can further improve the control accuracy, comprehensiveness, and flexibility of adaptive noise reduction of multi-head electromagnetic induction cookers through calculating heat flux, multi-region heat flux collaborative control, air duct joint control, wind direction optimization, and priority heat dissipation logic, which is beneficial to improving the heat dissipation efficiency, reducing ineffective energy consumption, and preventing wear of related equipment and devices on the basis of noise reduction, ensuring the equipment life, so as to achieve the balance of efficient heat dissipation and deep noise reduction, as well as deep noise reduction: electromagnetic-mechanical-sound field three-field coupling noise suppression; precise heat dissipation: pre-start and resource optimization based on heat field prediction; strong adaptability: dynamic threshold adaptation to complex working conditions; high reliability: multi-region collaboration to avoid local failures through multi-modal perception, dynamic threshold, and collaborative control. Its comprehensive performance is significantly better than traditional solutions and is applicable to scenarios with strict requirements for silent and efficient heat dissipation such as commercial kitchens and laboratories.

[0217] Embodiment 4

[0218] Please refer to Figure 5 , Figure 5 which is a schematic structural diagram of another adaptive noise reduction device applied to a multi-head electromagnetic induction cooker disclosed in the embodiments of the present invention. Among them, the adaptive noise reduction device applied to the multi-head electromagnetic induction cooker can be applied to intelligent cooking equipment with an electromagnetic induction cooker, such as a multi-head electromagnetic induction cooker, and can also be applied to intelligent devices related to the intelligent cooking equipment, including but not limited to one or more of smart home devices, battery devices, cloud devices, edge computing devices, relay devices, base station devices, urban management devices, and intelligent networked devices, which are not limited in the embodiments of the present invention. As Figure 5 shown, the adaptive noise reduction device applied to the multi-head electromagnetic induction cooker may include:

[0219] A memory 401 storing executable program code.

[0220] A processor 402 coupled to the memory 401.

[0221] The processor 402 calls the executable program code stored in the memory 401 and executes the steps in the adaptive noise reduction method for a multi - head induction cooker described in Embodiment 1 or Embodiment 2 of the present invention.

[0222] Embodiment 5

[0223] An embodiment of the present invention discloses a computer storage medium. When the computer instructions stored in this computer storage medium are called, they are used to execute the steps in the adaptive noise reduction method for a multi - head induction cooker described in Embodiment 1 or Embodiment 2 of the present invention.

[0224] Embodiment 6

[0225] An embodiment of the present invention discloses a computer program product. The computer program product includes a non - transitory computer storage medium storing a computer program, and the computer program is operable to cause a computer to execute the steps in the adaptive noise reduction method for a multi - head induction cooker described in Embodiment 1 or Embodiment 2.

[0226] The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed to multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. A person of ordinary skill in the art can understand and implement it without creative efforts.

[0227] Through the specific descriptions of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, which includes read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc memories, magnetic disc memories, tape memories, or any other medium that can be used to carry or store data and is computer-readable.

[0228] Finally, it should be noted that: The adaptive noise reduction method and device for a multi-head induction cooker disclosed in the embodiments of the present invention only disclose the preferred embodiments of the present invention, and are only used to illustrate the technical solutions of the present invention, rather than limiting them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An adaptive noise reduction method applied to a multi-head induction cooker, characterized in that, The multi - head induction cooker includes multiple induction cooker areas, and the method includes: Collecting temperature field distribution parameters, sound field distribution parameters, and electric ripple parameters of each induction cooker area within a preset first time period; For each of the induction cooker areas, inputting the temperature field distribution parameters of the induction cooker area into a pre - trained thermal field prediction model to obtain temperature change gradient parameters of the induction cooker area within a preset second time period; calculating target harmonic distortion characteristic parameters of the electric ripple parameters of the induction cooker area; Judging whether the target harmonic distortion characteristic parameters are greater than or equal to a preset harmonic distortion characteristic threshold parameter of the induction cooker area to obtain a judgment result, where the preset harmonic distortion characteristic threshold parameter is calculated based on the obtained real - time regional environmental temperature parameter of the corresponding induction cooker area and the real - time induction cooker load parameter of the multi - head induction cooker; According to the judgment result, the temperature change gradient parameters, and the sound field distribution parameters, calculating a target heat dissipation control time and target heat dissipation control parameters for the induction cooker area, where the target heat dissipation control parameters are used to instruct a target heat dissipation device to perform a heat dissipation control operation matching the target heat dissipation control parameters at the target heat dissipation control time.

2. The adaptive noise reduction method applied to a multi-head electromagnetic cooker according to claim 1, characterized in that, The pre - trained thermal field prediction model includes a long short - term memory network; The pre - trained thermal field prediction model is trained in the following way: For each of the induction cooker areas, collecting spatio - temporal temperature field sequence parameters of the induction cooker area; According to the spatio - temporal temperature field sequence parameters, calculating vortex diffusion characteristic parameters of the induction cooker area and boundary convection characteristic parameters within a preset first range of the induction cooker area; Inputting the vortex diffusion characteristic parameters, the boundary convection characteristic parameters, and historical heat dissipation control parameters into an initial thermal field prediction model to obtain the pre - trained thermal field prediction model, where the loss function of the pre - trained thermal field prediction model is the mean square error between the predicted gradient and the measured gradient.

3. The adaptive noise reduction method applied to a multi-head electromagnetic cooker according to claim 1 or 2, characterized in that, The electric ripple parameters include multiple harmonic frequency parameters and multiple harmonic amplitude parameters; calculating the target harmonic distortion characteristic parameters of the electric ripple parameters of the induction cooker area includes: Calculating the dominant harmonic frequency parameter of the electric ripple parameters of the induction cooker area according to a preset windowed fast Fourier algorithm and all the harmonic frequency parameters of the induction cooker area; Calculating the harmonic distortion characteristic parameters of the electric ripple parameters of the induction cooker area according to all the harmonic amplitude parameters of the induction cooker area; Calculating the target harmonic distortion characteristic parameters of the electric ripple parameters of the induction cooker area according to the dominant harmonic frequency parameter and the harmonic distortion characteristic parameters.

4. The adaptive noise reduction method applied to a multi-head induction cooker according to claim 1, wherein, The calculation method of the preset harmonic distortion characteristic threshold parameter is: Obtaining historical application scenario parameters corresponding to the induction cooker area; Calculating environmental characteristic parameters corresponding to the induction cooker area according to the historical application scenario parameters; Determining an initial harmonic distortion characteristic threshold parameter corresponding to the induction cooker area according to the environmental characteristic parameters; Calculating a first target distance value between the obtained real - time regional environmental temperature parameter of the corresponding induction cooker area and the preset environmental temperature threshold parameter range of the corresponding induction cooker area; Match a first correction priority parameter of the initial harmonic distortion characteristic threshold parameter according to the first target distance value; Calculate the preset harmonic distortion characteristic threshold parameter corresponding to the induction cooker area according to the first correction priority parameter, the initial harmonic distortion characteristic threshold parameter, and the obtained real-time induction cooker load parameter of the multi-head induction cooker.

5. The adaptive noise reduction method applied to a multi-head electromagnetic cooker according to claim 4, wherein The calculating the preset harmonic distortion characteristic threshold parameter corresponding to the induction cooker area according to the first correction priority parameter, the initial harmonic distortion characteristic threshold parameter, and the obtained real-time induction cooker load parameter of the multi-head induction cooker includes: Calculate a preliminary harmonic distortion characteristic threshold parameter according to the first correction priority parameter and the initial harmonic distortion characteristic threshold parameter; Calculate a second target distance value between the obtained real-time induction cooker load parameter of the multi-head induction cooker and the preset induction cooker load threshold parameter of the multi-head induction cooker; Match a second correction priority parameter of the preliminary harmonic distortion characteristic threshold parameter and a target correction model parameter of the preliminary harmonic distortion characteristic threshold parameter according to the second target distance value, where the target correction model parameter is used to indicate correcting the preliminary harmonic distortion characteristic threshold parameter to a regression model or an exponential function correction model; Calculate the preset harmonic distortion characteristic threshold parameter corresponding to the induction cooker area according to the second correction priority, the target correction model parameter, and the preliminary harmonic distortion characteristic threshold parameter.

6. The adaptive noise reduction method applied to a multi-head induction cooker according to any one of claims 1, 2, 4, and 5, characterized in that, The sound field distribution parameter includes a high-frequency resonance peak energy parameter. The calculating the target heat dissipation control time and the target heat dissipation control parameter of the induction cooker area according to the judgment result, the temperature change gradient parameter, and the sound field distribution parameter includes: Calculate the target heat dissipation control time and the initial heat dissipation control parameter of the induction cooker area according to the temperature change gradient parameter and the high-frequency resonance peak energy parameter in the sound field distribution parameter; Calculate the range of the area heat dissipation control frequency parameter of the target heat dissipation device corresponding to the induction cooker area according to the target harmonic distortion characteristic parameter of the induction cooker area, the dominant harmonic frequency parameter of the calculated electro-ripple parameter of the induction cooker area, and the preset random frequency jitter parameter range; When the judgment result is that the target harmonic distortion characteristic parameter is judged to be less than the preset harmonic distortion characteristic threshold parameter of the induction cooker area, calculate the target heat dissipation control parameter of the induction cooker area according to the range of the area heat dissipation control frequency parameter of the induction cooker area and the initial heat dissipation control parameter; When the judgment result is that the target harmonic distortion characteristic parameter is judged to be greater than or equal to the preset harmonic distortion characteristic threshold parameter of the induction cooker area, generate a reverse cancellation sound wave parameter according to the dominant harmonic frequency parameter; match the air duct opening parameter corresponding to the target heat dissipation device according to the reverse cancellation sound wave parameter; calculate the target heat dissipation control parameter of the induction cooker area according to the range of the area heat dissipation control frequency parameter of the induction cooker area, the initial heat dissipation control parameter, the reverse cancellation sound wave parameter, and the air duct opening parameter.

7. The adaptive noise reduction method applied to a multi-head induction cooker according to claim 6, wherein The method further includes: Calculate the regional dynamic heat flux parameter within the preset second range according to the temperature field distribution parameter of this induction cooker area and other induction cooker areas within the preset second range of this induction cooker area; Determine whether the regional dynamic heat flux parameter is greater than or equal to a preset heat flux threshold parameter, where the preset heat flux threshold parameter is calculated according to the real-time induction cooker load parameter of the multi-head induction cooker; When it is determined that the regional dynamic heat flux parameter is greater than or equal to the preset heat flux threshold parameter, determine a target temperature area within the preset second range according to the temperature field distribution parameter of this induction cooker area and other induction cooker areas within the preset second range of this induction cooker area, and the temperature parameter of the target temperature area is greater than a preset temperature parameter threshold; Generate the regional priority temperature control and heat dissipation parameter of the target heat dissipation device according to the target temperature area to perform a region-priority heat dissipation operation matching the target temperature area; And, the method further includes: Judge whether the regional sound field distribution parameter of the target temperature area is greater than or equal to a preset regional sound field distribution threshold parameter according to the sound field distribution parameter of this induction cooker area and other induction cooker areas within the preset second range of this induction cooker area; When it is determined that the regional sound field distribution parameter of the target temperature area is greater than or equal to the preset regional sound field distribution threshold parameter, calculate the air duct wind direction parameter corresponding to the target heat dissipation device according to the target temperature area; Generate the regional priority noise reduction parameter of the target heat dissipation device according to the air duct wind direction parameter to perform a region-priority noise reduction operation matching the target temperature area.

8. An adaptive noise reduction device applied to a multi-head induction cooker, characterized in that, The multi-head induction cooker includes multiple induction cooker areas, and the device includes: An acquisition module, configured to acquire the temperature field distribution parameter, sound field distribution parameter, and electric ripple parameter of each induction cooker area within a preset first period; A prediction module, configured to input the temperature field distribution parameter of each induction cooker area into a pre-trained thermal field prediction model for each induction cooker area to obtain the temperature change gradient parameter of the induction cooker area within a preset second period; A first calculation module, configured to calculate the target harmonic distortion characteristic parameter of the electric ripple parameter of this induction cooker area; A judgment module, configured to judge whether the target harmonic distortion characteristic parameter is greater than or equal to a preset harmonic distortion characteristic threshold parameter of this induction cooker area to obtain a judgment result, where the preset harmonic distortion characteristic threshold parameter is calculated by the first calculation module according to the obtained real-time regional environment temperature parameter of the corresponding induction cooker area and the real-time induction cooker load parameter of the multi-head induction cooker; A control module, configured to calculate the target heat dissipation control time and target heat dissipation control parameter of this induction cooker area according to the judgment result, the temperature change gradient parameter, and the sound field distribution parameter, where the target heat dissipation control parameter is used to instruct the target heat dissipation device to perform a heat dissipation control operation matching the target heat dissipation control parameter at the target heat dissipation control time.

9. An adaptive noise reduction device applied to a multi-head induction cooker, characterized in that, The device includes: A memory storing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory and executes the adaptive noise reduction method for a multi-head induction cooker according to any one of claims 1-7.

10. A computer storage medium, characterized in that, The computer storage medium stores computer instructions which, when called, are used to execute the adaptive noise reduction method for a multi-head induction cooker according to any one of claims 1-7.

Images