CN105787452A - Heat dissipation processing method and device - Google Patents
Heat dissipation processing method and device Download PDFInfo
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- CN105787452A CN105787452A CN201610112801.6A CN201610112801A CN105787452A CN 105787452 A CN105787452 A CN 105787452A CN 201610112801 A CN201610112801 A CN 201610112801A CN 105787452 A CN105787452 A CN 105787452A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
Abstract
The invention provides a heat dissipation processing method and device, wherein the method comprises the steps of: detecting decibel information representing an indoor sound decibel value and personnel information representing whether there is a person indoor; according to the decibel information and the personnel information, determining the corresponding action mode of the current time period; and according to the action mode, selecting a heat dissipation mode of an intelligent cooling device. According to the invention, the intelligent cooling device is capable of automatically detecting the decibel information representing the indoor sound decibel value and the personnel information representing whether there is a person indoor, further determining the corresponding action mode of the current time period according to the decibel information and the personnel information, and selecting the heat dissipation mode according to the action mode. The intelligent degree of the intelligent cooling device is improved, and convenience is provided to a user.
Description
Technical field
It relates to the communications field, particularly relate to radiating treatment method and device.
Background technology
In correlation technique, the design of intelligent cooking equipment has possessed a degree of intellectuality, and for intelligent electric rice cooker, user adds food materials in container, and after setting culinary art pattern the starting device of correspondence, intelligent electric rice cooker can be automatically performed culinary art work.But, intelligent cooking equipment in cooking process or culinary art terminate after, its radiating mode is fixing, what time period namely no matter is currently at, whether indoor have people, current indoor sound decibel value much, and this intelligent cooking equipment all adopts same radiating mode to dispel the heat.It is to say, the intelligence degree of current intelligent cooking equipment is not enough.
Summary of the invention
In view of this, present disclose provides radiating treatment method and device, to solve the deficiency in correlation technique.
First aspect according to disclosure embodiment, it is provided that a kind of radiating treatment method, described method includes:
Detection characterizes the decibel information of indoor sound decibel value and characterizes whether indoor have the personal information of people；
According to described decibel information and described personal information, it is determined that the action model that current slot is corresponding；
According to described action model, select the radiating mode of intelligent cooking equipment.
Alternatively, described detection characterizes the decibel information of indoor sound decibel value, including:
Indoor sound decibel value is gathered, it is thus achieved that described decibel information by preassembled voice collection device.
Alternatively, described detection characterizes whether indoor have the personal information of people, including:
Indoor image is obtained by preassembled photographic head；
Described image is carried out image recognition, determines whether people according to recognition result, it is thus achieved that described personal information.
Alternatively, described detection characterizes whether indoor have the personal information of people, including:
Detect whether that intelligence wearable device accesses the LAN at intelligent cooking equipment place；
If having described intelligence wearable device to access the LAN at described intelligent cooking equipment place, it is thus achieved that characterizing indoor has the described personal information of people, otherwise obtains the described personal information characterizing indoor nobody.
Alternatively, described action model includes the first action model, the second action model and the third line dynamic model formula that noise tolerance is reduced successively.
Alternatively, in the following ways according to described decibel information and described personal information, it is determined that the action model that current slot is corresponding is described first action model:
When current slot is in the first preset time period, if the indoor nobody of described personal information instruction, it is determined that described action model would be described first action model；Or
When current slot is in the first preset time period, if there is people described personal information instruction indoor, and described decibel information indicates described sound decibel value to be not less than the first preset value, it is determined that described action model is described first action model.
Alternatively, in the following ways according to described decibel information and described personal information, it is determined that the action model that current slot is corresponding is described second action model:
When current slot is in the first preset time period, if there is people described personal information instruction indoor, and described decibel information indicates described sound decibel value lower than the first preset value, it is determined that described action model is described second action model；Or
When current slot is in the second preset time period, if there is people described personal information instruction indoor, and described decibel information indicates described sound decibel value to be not less than the second preset value, it is determined that described action model is described second action model；
Wherein, described first preset value is higher than described second preset value.
Alternatively, in the following ways according to described decibel information and described personal information, it is determined that the action model that current slot is corresponding is described the third line dynamic model formula:
When current slot is in the first preset time period, if there is people described personal information instruction indoor, and described decibel information indicates described sound decibel value lower than the second preset value, it is determined that described action model is described the third line dynamic model formula；Or
When current slot is in the second preset time period, if decibel information indicates described sound decibel value lower than described second preset value, it is determined that described action model is described the third line dynamic model formula.
Alternatively, described according to described action model, select the radiating mode of intelligent cooking equipment, including:
If described action model is described first action model, the radiating mode selecting intelligent cooking equipment is the first radiating mode；
If described action model is described second action model, the radiating mode selecting intelligent cooking equipment is the second radiating mode；
If described action model is described the third line dynamic model formula, the radiating mode selecting intelligent cooking equipment is the 3rd radiating mode；
Wherein, the limited degree of the noise that the heat abstractor on described intelligent cooking equipment produces is improved by described first radiating mode, described second radiating mode and described 3rd radiating mode successively.
Alternatively, when adopting described second radiating mode to dispel the heat, the noise that described heat abstractor produces is less than the first decibel value；
When adopting described 3rd radiating mode to dispel the heat, the noise that described heat abstractor produces is less than the second decibel value；
Wherein, described second decibel value is lower than described first decibel value.
Second aspect according to disclosure embodiment, it is provided that a kind of radiating treatment device, described device includes:
Detection module, is configured to detection and characterizes the decibel information of indoor sound decibel value and characterize whether indoor have the personal information of people；
Determine module, be configured to according to described decibel information and described personal information, it is determined that the action model that current slot is corresponding；
Select module, be configured to, according to described action model, select the radiating mode of intelligent cooking equipment.
Alternatively, described detection module includes:
First obtains submodule, is configured to preassembled voice collection device and gathers indoor sound decibel value, it is thus achieved that described decibel information.
Alternatively, described detection module includes:
Second obtains submodule, is configured to preassembled photographic head and obtains indoor image；
3rd obtains submodule, is configured to described image is carried out image recognition, determines whether people according to recognition result, it is thus achieved that described personal information.
Alternatively, described detection module includes:
Detection sub-module, is configured to detect whether the LAN that intelligence wearable device accesses intelligent cooking equipment place；
4th obtains submodule, if being configured to the LAN having described intelligence wearable device to access described intelligent cooking equipment place, it is thus achieved that characterizing indoor has the described personal information of people, otherwise obtains the described personal information characterizing indoor nobody.
Alternatively, described action model includes the first action model, the second action model and the third line dynamic model formula that noise tolerance is reduced successively.
Alternatively, described determine that module includes:
First determines submodule, is configured as current slot when being in the first preset time period, if the indoor nobody of described personal information instruction, it is determined that described action model is described first action model；
Second determines submodule, it is configured as current slot when being in the first preset time period, if there is people described personal information instruction indoor, and described decibel information indicates described sound decibel value to be not less than the first preset value, it is determined that described action model is described first action model.
Alternatively, described determine that module includes:
3rd determines submodule, it is configured as current slot when being in the first preset time period, if there is people described personal information instruction indoor, and described decibel information indicates described sound decibel value lower than the first preset value, it is determined that described action model is described second action model；
4th determines submodule, it is configured as current slot when being in the second preset time period, if there is people described personal information instruction indoor, and described decibel information indicates described sound decibel value to be not less than the second preset value, it is determined that described action model is described second action model；
Wherein, described first preset value is higher than described second preset value.
Alternatively, described determine that module includes:
5th determines submodule, it is configured as current slot when being in the first preset time period, if there is people described personal information instruction indoor, and described decibel information indicates described sound decibel value lower than the second preset value, it is determined that described action model is described the third line dynamic model formula；
6th determines submodule, is configured as current slot when being in the second preset time period, if decibel information indicates described sound decibel value lower than described second preset value, it is determined that described action model is described the third line dynamic model formula.
Alternatively, described selection module includes:
First selects submodule, if being configured to described action model is described first action model, the radiating mode selecting intelligent cooking equipment is the first radiating mode；
Second selects submodule, if being configured to described action model is described second action model, the radiating mode selecting intelligent cooking equipment is the second radiating mode；
3rd selects submodule, if being configured to described action model is described the third line dynamic model formula, the radiating mode selecting intelligent cooking equipment is the 3rd radiating mode；
Wherein, the limited degree of the noise that the heat abstractor on described intelligent cooking equipment produces is improved by described first radiating mode, described second radiating mode and described 3rd radiating mode successively.
Alternatively, when adopting described second radiating mode to dispel the heat, the noise that described heat abstractor produces is less than the first decibel value；
When adopting described 3rd radiating mode to dispel the heat, the noise that described heat abstractor produces is less than the second decibel value；
Wherein, described second decibel value is lower than described first decibel value.
The third aspect according to disclosure embodiment, it is provided that a kind of radiating treatment device, including:
Processor；
For storing the memorizer of processor executable；
Wherein, described processor is configured to:
Detection characterizes the decibel information of indoor sound decibel value and characterizes whether indoor have the personal information of people；
According to described decibel information and described personal information, it is determined that the action model that current slot is corresponding；
According to described action model, select the radiating mode of intelligent cooking equipment.
Embodiment of the disclosure that the technical scheme of offer can include following beneficial effect:
In disclosure embodiment, intelligent cooking equipment can automatically detect the decibel information characterizing indoor sound decibel value and characterize whether indoor have the personal information of people, and then according to described decibel information and described personal information, determine the action model that current slot is corresponding, select radiating mode according to described action model.Improve the intelligence degree of intelligent cooking equipment, bring facility to user.
In disclosure embodiment, it is possible to gather indoor sound decibel value by preassembled voice collection device, thus obtaining a decibel information.When testing staff's information, it is possible to by the image that preassembled camera collection is indoor, and then the described image gathered being carried out image recognition, may determine that whether current indoor has people according to recognition result, thus obtaining described personal information；Or can also detect whether that intelligence wearable device accesses the same LAN at intelligent cooking equipment place, thus obtaining described personal information.Realizing simplicity, availability is high.
In disclosure embodiment, after decibel information and personal information being detected, it may be determined that the action model that current slot is corresponding.Alternatively, described action model includes the first action model, the second action model and the third line dynamic model formula that noise tolerance is reduced successively, such that it is able at the follow-up radiating mode selecting intelligent cooking equipment according to described action model.Realizing simplicity, availability is high.
In disclosure embodiment, after determining the action model that current slot is corresponding, it is possible to selecting intelligent cooking equipment to be currently needed for the radiating mode adopted according to described action model, different radiating modes is different to noise limit degree.Achieve the process being selected radiating mode by current slot in conjunction with decibel information and personal information, improve the intelligence degree of intelligent cooking equipment, bring facility to user.
It should be appreciated that it is only exemplary and explanatory that above general description and details hereinafter describe, the disclosure can not be limited.
Accompanying drawing explanation
Accompanying drawing herein is merged in description and constitutes the part of this specification, it is shown that meets and embodiment of the disclosure, and for explaining the principle of the disclosure together with description.
Fig. 1 is the disclosure a kind of radiating treatment method flow diagram according to an exemplary embodiment；
Fig. 2 is the disclosure another kind of radiating treatment method flow diagram according to an exemplary embodiment；
Fig. 3 is the disclosure another kind of radiating treatment method flow diagram according to an exemplary embodiment；
Fig. 4 is the disclosure a kind of radiating treatment device block diagram according to an exemplary embodiment；
Fig. 5 is the disclosure another kind of radiating treatment device block diagram according to an exemplary embodiment；
Fig. 6 is the disclosure another kind of radiating treatment device block diagram according to an exemplary embodiment；
Fig. 7 is the disclosure another kind of radiating treatment device block diagram according to an exemplary embodiment；
Fig. 8 is the disclosure another kind of radiating treatment device block diagram according to an exemplary embodiment；
Fig. 9 is the disclosure another kind of radiating treatment device block diagram according to an exemplary embodiment；
Figure 10 is the disclosure another kind of radiating treatment device block diagram according to an exemplary embodiment；
Figure 11 is the disclosure another kind of radiating treatment device block diagram according to an exemplary embodiment；
Figure 12 is a disclosure a kind of structural representation for radiating treatment device according to an exemplary embodiment.
Detailed description of the invention
Here in detail exemplary embodiment being illustrated, its example representation is in the accompanying drawings.When as explained below relates to accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawings represents same or analogous key element.Embodiment described in following exemplary embodiment does not represent all embodiments consistent with the disclosure.On the contrary, they only with in appended claims describe in detail, the disclosure some in the example of consistent apparatus and method.
The term used in the disclosure is only merely for the purpose describing specific embodiment, and is not intended to be limiting the disclosure." one ", " described " and " being somebody's turn to do " of the singulative used in disclosure and the accompanying claims book is also intended to include most form, unless context clearly shows that other implications.It is also understood that term "and/or" used herein refers to and comprises any or all of one or more project of listing being associated and be likely to combination.
Although should be appreciated that and be likely to adopt term first, second, third, etc. to describe various information in the disclosure, but these information should not necessarily be limited by these terms.These terms are only used for being distinguished from each other out same type of information.Such as, without departing from the scope of this disclosure, the first information can also be referred to as the second information, and similarly, the second information can also be referred to as the first information.Depend on linguistic context, word as used in this " if " can be construed to " ... time " or " when ... " or " in response to determining ".
As it is shown in figure 1, Fig. 1 is a kind of radiating treatment method according to an exemplary embodiment, comprise the following steps:
In a step 101, detection characterizes the decibel information of indoor sound decibel value and characterizes whether indoor have the personal information of people.
The method provided in disclosure embodiment may be used for intelligent cooking equipment, for instance, intelligent electric rice cooker, intelligence juice extractor, intelligence frying pan etc..
In this step, intelligent cooking equipment is before determining radiating mode, it is necessary to first detection characterizes the decibel information of indoor sound decibel value and characterizes whether indoor have the personal information of people.
Alternatively, when detecting described decibel information, it is possible to by preassembled voice collection device, for instance microphone gathers indoor sound decibel value, described voice collection device and described intelligent cooking equipment are in same LAN, for instance belong to same intelligent domestic system.Described voice collection device is sent to described intelligent cooking equipment by described LAN after collecting described sound decibel value.
In disclosure embodiment, it is alternatively possible to any one in the following manner detects described personal information:
First kind of way, detects described personal information by photographic head.
As in figure 2 it is shown, Fig. 2 is the another kind of radiating treatment method flow diagram according to an exemplary embodiment, this embodiment, on the basis of aforementioned embodiment illustrated in fig. 1, further describes the process being detected described personal information by photographic head, including:
In step 101-1, obtain indoor image by preassembled photographic head.
In this step, described photographic head can be pre-installed on described intelligent cooking equipment, now directly can obtain indoor image according to correlation technique by described photographic head.
Or, described photographic head can be the one or more photographic head being in same LAN with described intelligent cooking equipment, and described camera collection is sent to described intelligent cooking equipment by described LAN after image.
In step 101-2, described image is carried out image recognition, determines whether people according to recognition result, it is thus achieved that described personal information.
In this step, described image can be carried out image recognition according to correlation technique by described intelligent cooking equipment, identifies in described image whether have people, thus obtaining described personal information.
The second way, detects described personal information by intelligence wearable device.
As it is shown on figure 3, Fig. 3 is the another kind of radiating treatment method flow diagram according to an exemplary embodiment, this embodiment, on the basis of aforementioned embodiment illustrated in fig. 1, further describes the process being detected described personal information by intelligence wearable device, including:
In step 101-1 ', detect whether that intelligence wearable device accesses the LAN at intelligent cooking equipment place.
Consider that user generally understands body-worn intelligence wearable device, then described intelligent cooking equipment can initiate request according to correlation technique to the router of described LAN, acquisition request is currently connected to the device identification list of all devices of described router, thus determining whether that intelligence wearable device has accessed described LAN equally according to described device identification list.
In step 101-2 ', if there being described intelligence wearable device to access the LAN at described intelligent cooking equipment place, it is thus achieved that characterizing indoor has the described personal information of people；Otherwise, it is thus achieved that characterize the described personal information of indoor nobody.
In this step, if described intelligent cooking equipment finds the device identification of described intelligence wearable device in described device identification list, then may determine that described intelligence wearable device accesses described LAN, characterize the indoor described personal information having people it is possible to further obtain.
If searching the device identification less than described intelligence wearable device in described device identification list, then may determine that and do not have described intelligence wearable device to access described LAN, it is possible to further obtain the described personal information characterizing indoor nobody.
In disclosure embodiment, it is also possible to the mode combined by photographic head and intelligence wearable device detects described personal information, it is ensured that the accuracy of the described personal information eventually detected.
In a step 102, according to described decibel information and described personal information, it is determined that the action model that current slot is corresponding.
Described decibel information and described personal information detected by above-mentioned steps 101 after, in this step, it is possible to determine, according to above-mentioned information, the action model that current slot is corresponding.Alternatively, described action model includes the first action model, the second action model and the third line dynamic model formula that noise tolerance is reduced successively.
Introduce separately below in disclosure embodiment is how to determine different action models.
Determine that the action model that current slot is corresponding is described first action model, including:
The first situation, when current slot is in the first preset time period, if the indoor nobody of described personal information instruction, it is determined that described action model would be described first action model.
Alternatively, described first preset time period can corresponding be got up the time period having a rest evening from morning, for instance the time period between morning 8 at 10 in evening.If within this time period, the indoor nobody of described personal information instruction, now can be left out the noise impact on other people that the heat abstractor of described intelligent cooking equipment produces, therefore described action model can be defined as described first action model that noise tolerance is the highest.
The second situation, when current slot is in the first preset time period, if there is people described personal information instruction indoor, and described decibel information indicates described sound decibel value to be not less than the first preset value, it is determined that described action model is described first action model.
Or, same in described first preset time period, although there is people indoor, but indoor existing sound decibel value is significantly high, namely described first preset value it is not less than, illustrate that the sound of indoor is very big, now equally possible be left out the impact on other people of noise that described heat abstractor produces, therefore described action model can also be defined as described first action model that noise tolerance is the highest equally.
Determine that the action model that current slot is corresponding is described second action model, including:
The first situation, when current slot is in the first preset time period, if there is people described personal information instruction indoor, and described decibel information indicates described sound decibel value lower than the first preset value, it is determined that described action model is described second action model.
When current slot is in the first preset time period having a rest evening of getting up from morning, such as, in the time period between morning 8 at 10 in evening, if there is people described personal information instruction indoor, although indoor are less quiet, but described sound decibel value does not also reach described first preset value, the noise that then now described heat abstractor produces should be not too many yet, therefore can described action model be defined as the noise tolerance described second action model lower than described first action model.
The second situation, when current slot is in the second preset time period, if there is people described personal information instruction indoor, and described decibel information indicates described sound decibel value to be not less than the second preset value, it is determined that described action model is described second action model；Wherein, described first preset value is higher than described second preset value.
Alternatively, described second preset time period can corresponding be had a rest the time period got up morning from evening, for instance the time period between at 10 in evening to morning 8.If current slot is in described second preset time period, there is people described personal information instruction indoor, and indoor occupant is not in sleep state, the described sound decibel value produced is not less than described second preset value, now consider it has been evening, although indoor occupant is not also fallen asleep, but should not produce too big noise.Therefore, equally possible described action model is defined as to the noise tolerance described second action model lower than described first action model.
Determine that the action model that current slot is corresponding is described the third line dynamic model formula, including:
The first situation, when current slot is in the first preset time period, if there is people described personal information instruction indoor, and described decibel information indicates described sound decibel value lower than the second preset value, it is determined that described action model is described the third line dynamic model formula.
Get up in described first preset time period having a rest evening from morning if current slot is in, if there is people described personal information instruction indoor, but very quiet, namely described sound decibel value is lower than the second preset value.Alternatively, described second preset value is lower than described first preset value.Now indoor are in very quiet environment, and the noise that described heat abstractor produces should be restricted to minimum, and therefore described action model can be defined as described the third line dynamic model formula that noise tolerance is minimum.
The second situation, when current slot is in the second preset time period, if decibel information indicates described sound decibel value lower than described second preset value, it is determined that described action model is described the third line dynamic model formula.
If current slot is in described second preset time period got up morning of having a rest from evening, if described sound decibel value is lower than described second preset value, indoor no one is then described or has people but be in very quietly state, such as, under sleep state, the noise that described heat abstractor produces should be restricted to minimum equally, therefore equally possible described action model is defined as described the third line dynamic model formula that noise tolerance is minimum.
In step 103, according to described action model, the radiating mode of intelligent cooking equipment is selected.
In this step, described intelligent cooking equipment is after determining described action model, it is possible to select radiating mode according to described action model.
Alternatively, described first action model corresponds to the first radiating mode, and described second action model corresponds to the second radiating mode, and described the third line dynamic model formula corresponds to the 3rd radiating mode.The limited degree of the noise that the heat abstractor on described intelligent cooking equipment produces is improved by described first radiating mode, described second radiating mode and described 3rd radiating mode successively.
That is, when the described action model that current slot is corresponding is to described first action model that noise tolerance is the highest, the impact that noise produces can be left out, therefore described first radiating mode that noise limit degree is minimum can be adopted, it is possible to the described noise described heat abstractor not produced limits.Wherein, described heat abstractor can include fan, water route, fin etc..Alternatively, under this radiating mode, fan can be arranged on the gear corresponding to flank speed, can be combined with other radiating modes simultaneously and dispels the heat.
The described action model that current slot is corresponding be to noise tolerance lower than described second action model of described first action model time, should adopt noise limit degree higher than described second radiating mode of described first radiating mode, and control noise that described heat abstractor produces less than the first decibel value.Alternatively, under this radiating mode, fan can be arranged below on the gear corresponding to the medium rates of described flank speed, can be combined with other quiet radiating modes such as water route or fin simultaneously and dispels the heat, and the noise that control radiation processes produces is less than described first decibel value.
When the described action model that current slot is corresponding is to described the third line dynamic model formula that noise tolerance is minimum, described 3rd radiating mode that noise limit degree is the highest should be adopted, and control described heat abstractor produce noise should less than the second decibel value, wherein said second decibel value is lower than described first decibel value.Under this radiating mode, fan can be arranged on the gear that minimum speed limit is corresponding, can be combined with other quiet radiating modes such as water route or fin simultaneously and dispels the heat, and the noise that control radiation processes produces is less than described second decibel value.
Disclosure embodiment additionally provides the corresponding relation between the best result shellfish value produced under action model, radiating mode and this radiating mode, as shown in table 1.Where it is assumed that the first decibel value is 60 decibels, the second decibel value is 40 decibels, and intelligent cooking equipment is when being not intended to heat abstractor and dissipating thermogenetic noise, it is possible to the best result shellfish value of generation is 70 decibels.
Table 1
Certainly, in disclosure embodiment, user can need to arrange different action models according to self, and then arranges described intelligent cooking equipment and the radiating mode corresponding to different action models.
In above-described embodiment, intelligent cooking equipment can automatically detect the decibel information characterizing indoor sound decibel value and characterize whether indoor have the personal information of people, and then according to described decibel information and described personal information, determine the action model that current slot is corresponding, select radiating mode according to described action model.Improve the intelligence degree of intelligent cooking equipment, bring facility to user.
Corresponding with preceding method embodiment, the disclosure additionally provides the embodiment of device.
As shown in Figure 4, Fig. 4 is the disclosure a kind of radiating treatment device block diagram according to an exemplary embodiment, including: detection module 210, determines module 220 and selects module 230.
Wherein, described detection module 210, it is configured to detection and characterizes the decibel information of indoor sound decibel value and characterize whether indoor have the personal information of people；
Described determine module 220, be configured to according to described decibel information and described personal information, it is determined that the action model that current slot is corresponding；
Described selection module 230, is configured to, according to described action model, select the radiating mode of intelligent cooking equipment.
As it is shown in figure 5, Fig. 5 is the disclosure another kind of radiating treatment device block diagram according to an exemplary embodiment, this embodiment is on the basis of aforementioned embodiment illustrated in fig. 4, and described detection module 210 includes: first obtains submodule 211.
Wherein, described first obtains submodule 211, is configured to preassembled voice collection device and gathers indoor sound decibel value, it is thus achieved that described decibel information.
As shown in Figure 6, Fig. 6 is the disclosure another kind of radiating treatment device block diagram according to an exemplary embodiment, this embodiment is on the basis of aforementioned embodiment illustrated in fig. 4, and described detection module 210 includes: second obtains submodule 212 and the 3rd obtains submodule 213.
Wherein, described second obtains submodule 212, is configured to preassembled photographic head and obtains indoor image；
Described 3rd obtains submodule 213, is configured to described image is carried out image recognition, determines whether people according to recognition result, it is thus achieved that described personal information.
As it is shown in fig. 7, Fig. 7 is the disclosure another kind of radiating treatment device block diagram according to an exemplary embodiment, this embodiment is on the basis of aforementioned embodiment illustrated in fig. 4, and described detection module 210 includes: detection sub-module 214 and the 4th obtains submodule 215.
Wherein, described detection sub-module 214, it is configured to detect whether the LAN that intelligence wearable device accesses intelligent cooking equipment place；
Described 4th obtains submodule 215, if being configured to the LAN having described intelligence wearable device to access described intelligent cooking equipment place, it is thus achieved that characterizing indoor has the described personal information of people, otherwise obtains the described personal information characterizing indoor nobody.
Alternatively, described action model includes the first action model, the second action model and the third line dynamic model formula that noise tolerance is reduced successively.
As shown in Figure 8, Fig. 8 is the disclosure another kind of radiating treatment device block diagram according to an exemplary embodiment, this embodiment, on the basis of aforementioned embodiment illustrated in fig. 4, described determines that module 220 includes: first determines that submodule 221 and second determines submodule 222.
Wherein, described first determines submodule 221, is configured as current slot when being in the first preset time period, if the indoor nobody of described personal information instruction, it is determined that described action model is described first action model；
Described second determines submodule 222, it is configured as current slot when being in the first preset time period, if there is people described personal information instruction indoor, and described decibel information indicates described sound decibel value to be not less than the first preset value, it is determined that described action model is described first action model.
As shown in Figure 9, Fig. 9 is the disclosure another kind of radiating treatment device block diagram according to an exemplary embodiment, this embodiment, on the basis of aforementioned embodiment illustrated in fig. 4, described determines that module 220 includes: the 3rd determines that submodule 223 and the 4th determines submodule 224.
Wherein, described 3rd determines submodule 223, it is configured as current slot when being in the first preset time period, if there is people described personal information instruction indoor, and described decibel information indicates described sound decibel value lower than the first preset value, it is determined that described action model is described second action model；
Described 4th determines submodule 224, it is configured as current slot when being in the second preset time period, if there is people described personal information instruction indoor, and described decibel information indicates described sound decibel value to be not less than the second preset value, it is determined that described action model is described second action model；
Wherein, described first preset value is higher than described second preset value.
As shown in Figure 10, Figure 10 is the disclosure another kind of radiating treatment device block diagram according to an exemplary embodiment, this embodiment, on the basis of aforementioned embodiment illustrated in fig. 4, described determines that module 220 includes: the 5th determines that submodule 225 and the 6th determines submodule 226.
Wherein, described 5th determines submodule 225, it is configured as current slot when being in the first preset time period, if there is people described personal information instruction indoor, and described decibel information indicates described sound decibel value lower than the second preset value, it is determined that described action model is described the third line dynamic model formula；
Described 6th determines submodule 226, is configured as current slot when being in the second preset time period, if decibel information indicates described sound decibel value lower than described second preset value, it is determined that described action model is described the third line dynamic model formula.
As shown in figure 11, Figure 11 is the disclosure another kind of radiating treatment device block diagram according to an exemplary embodiment, this embodiment is on the basis of the arbitrary illustrated embodiment of earlier figures 8 to Figure 10, and described selection module 230 includes: first selects submodule 231, second to select submodule 232 and the 3rd to select submodule 233.
Wherein, described first selects submodule 231, if being configured to described action model is described first action model, the radiating mode selecting intelligent cooking equipment is the first radiating mode；
Described second selects submodule 232, if being configured to described action model is described second action model, the radiating mode selecting intelligent cooking equipment is the second radiating mode；
Described 3rd selects submodule 233, if being configured to described action model is described the third line dynamic model formula, the radiating mode selecting intelligent cooking equipment is the 3rd radiating mode；
Wherein, the limited degree of the noise that the heat abstractor on described intelligent cooking equipment produces is improved by described first radiating mode, described second radiating mode and described 3rd radiating mode successively.
Alternatively, when adopting described second radiating mode to dispel the heat, the noise that described heat abstractor produces is less than the first decibel value；
When adopting described 3rd radiating mode to dispel the heat, the noise that described heat abstractor produces is less than the second decibel value；
Wherein, described second decibel value is lower than described first decibel value.
For device embodiment, owing to it corresponds essentially to embodiment of the method, so relevant part illustrates referring to the part of embodiment of the method.Device embodiment described above is merely schematic, the unit wherein illustrated as separating component can be or may not be physically separate, the parts shown as unit can be or may not be physical location, namely may be located at a place, or can also be distributed on multiple NE.Some or all of module therein can be selected according to the actual needs to realize the purpose of disclosure scheme.Those of ordinary skill in the art, when not paying creative work, are namely appreciated that and implement.
Accordingly, the disclosure also provides for a kind of radiating treatment device, including:
Processor；
For storing the memorizer of processor executable；
Wherein, described processor is configured to:
Detection characterizes the decibel information of indoor sound decibel value and characterizes whether indoor have the personal information of people；
According to described decibel information and described personal information, it is determined that the action model that current slot is corresponding；
According to described action model, select the radiating mode of intelligent cooking equipment.
As shown in figure 12, Figure 12 is a structural representation of a kind of radiating treatment device 1200 according to an exemplary embodiment.
Such as, device 1200 may be provided in intelligent cooking equipment, for instance intelligent electric rice cooker, intelligence juice extractor or intelligence frying pan etc..With reference to Figure 12, device 1200 includes processing assembly 1222, and it farther includes one or more processor and the memory resource representated by memorizer 1232, can by the instruction of the execution processing assembly 1222 for storing, for instance application program.In memorizer 1232 application program of storage can include one or more each corresponding to the module of one group of instruction.It is configured to perform instruction additionally, process assembly 1222, with the method performing above-mentioned control intelligent home device.
Device 1200 can also include a power supply module 1226 and be configured to perform the power management of device 1200, and a wired or wireless network interface 1250 is configured to be connected to device 1200 network and input and output (I/O) interface 1258.Device 1200 can operate based on the operating system being stored in memorizer 1232, for instance Android, IOS, WindowsServerTM, MacOSXTM, UnixTM, LinuxTM, FreeBSDTM or similar.
Wherein, when the instruction in described memorizer 1232 is performed by described process assembly 1222 so that device 1200 is able to carry out another kind of radiating treatment method, including:
Detection characterizes the decibel information of indoor sound decibel value and characterizes whether indoor have the personal information of people；
According to described decibel information and described personal information, it is determined that the action model that current slot is corresponding；
According to described action model, select the radiating mode of intelligent cooking equipment.
Those skilled in the art, after considering description and putting into practice invention disclosed herein, will readily occur to other embodiment of the disclosure.The disclosure is intended to any modification of the disclosure, purposes or adaptations, and these modification, purposes or adaptations are followed the general principle of the disclosure and include the undocumented known general knowledge in the art of the disclosure or conventional techniques means.Description and embodiments is considered only as exemplary, and the true scope of the disclosure and spirit are pointed out by claim below.
The foregoing is only the preferred embodiment of the disclosure, not in order to limit the disclosure, within all spirit in the disclosure and principle, any amendment of making, equivalent replacements, improvement etc., should be included within the scope that the disclosure is protected.
Claims (21)
1. a radiating treatment method, it is characterised in that described method includes:
Detection characterizes the decibel information of indoor sound decibel value and characterizes whether indoor have the personal information of people；
According to described decibel information and described personal information, it is determined that the action model that current slot is corresponding；
According to described action model, select the radiating mode of intelligent cooking equipment.
2. method according to claim 1, it is characterised in that described detection characterizes the decibel information of indoor sound decibel value, including:
Indoor sound decibel value is gathered, it is thus achieved that described decibel information by preassembled voice collection device.
3. method according to claim 1, it is characterised in that described detection characterizes whether indoor have the personal information of people, including:
Indoor image is obtained by preassembled photographic head；
Described image is carried out image recognition, determines whether people according to recognition result, it is thus achieved that described personal information.
4. method according to claim 1, it is characterised in that described detection characterizes whether indoor have the personal information of people, including:
Detect whether that intelligence wearable device accesses the LAN at intelligent cooking equipment place；
If having described intelligence wearable device to access the LAN at described intelligent cooking equipment place, it is thus achieved that characterizing indoor has the described personal information of people；Otherwise, it is thus achieved that characterize the described personal information of indoor nobody.
5. method according to claim 1, it is characterised in that described action model includes the first action model, the second action model and the third line dynamic model formula that noise tolerance is reduced successively.
6. method according to claim 5, it is characterised in that in the following ways according to described decibel information and described personal information, it is determined that the action model that current slot is corresponding is described first action model:
When current slot is in the first preset time period, if the indoor nobody of described personal information instruction, it is determined that described action model would be described first action model；Or
When current slot is in the first preset time period, if there is people described personal information instruction indoor, and described decibel information indicates described sound decibel value to be not less than the first preset value, it is determined that described action model is described first action model.
7. method according to claim 5, it is characterised in that in the following ways according to described decibel information and described personal information, it is determined that the action model that current slot is corresponding is described second action model:
When current slot is in the first preset time period, if there is people described personal information instruction indoor, and described decibel information indicates described sound decibel value lower than the first preset value, it is determined that described action model is described second action model；Or
When current slot is in the second preset time period, if there is people described personal information instruction indoor, and described decibel information indicates described sound decibel value to be not less than the second preset value, it is determined that described action model is described second action model；
Wherein, described first preset value is higher than described second preset value.
8. method according to claim 5, it is characterised in that in the following ways according to described decibel information and described personal information, it is determined that the action model that current slot is corresponding is described the third line dynamic model formula:
When current slot is in the first preset time period, if there is people described personal information instruction indoor, and described decibel information indicates described sound decibel value lower than the second preset value, it is determined that described action model is described the third line dynamic model formula；Or
When current slot is in the second preset time period, if decibel information indicates described sound decibel value lower than described second preset value, it is determined that described action model is described the third line dynamic model formula.
9. the method according to any one of claim 5-8, it is characterised in that described according to described action model, selects the radiating mode of intelligent cooking equipment, including:
If described action model is described first action model, the radiating mode selecting intelligent cooking equipment is the first radiating mode；
If described action model is described second action model, the radiating mode selecting intelligent cooking equipment is the second radiating mode；
If described action model is described the third line dynamic model formula, the radiating mode selecting intelligent cooking equipment is the 3rd radiating mode；
Wherein, the limited degree of the noise that the heat abstractor on described intelligent cooking equipment produces is improved by described first radiating mode, described second radiating mode and described 3rd radiating mode successively.
10. method according to claim 9, it is characterised in that when adopting described second radiating mode to dispel the heat, the noise that described heat abstractor produces is less than the first decibel value；
When adopting described 3rd radiating mode to dispel the heat, the noise that described heat abstractor produces is less than the second decibel value；
Wherein, described second decibel value is lower than described first decibel value.
11. a radiating treatment device, it is characterised in that described device includes:
Detection module, is configured to detection and characterizes the decibel information of indoor sound decibel value and characterize whether indoor have the personal information of people；
Determine module, be configured to according to described decibel information and described personal information, it is determined that the action model that current slot is corresponding；
Select module, be configured to, according to described action model, select the radiating mode of intelligent cooking equipment.
12. device according to claim 11, it is characterised in that described detection module includes:
First obtains submodule, is configured to preassembled voice collection device and gathers indoor sound decibel value, it is thus achieved that described decibel information.
13. device according to claim 11, it is characterised in that described detection module includes:
Second obtains submodule, is configured to preassembled photographic head and obtains indoor image；
3rd obtains submodule, is configured to described image is carried out image recognition, determines whether people according to recognition result, it is thus achieved that described personal information.
14. device according to claim 11, it is characterised in that described detection module includes:
Detection sub-module, is configured to detect whether the LAN that intelligence wearable device accesses intelligent cooking equipment place；
4th obtains submodule, if being configured to the LAN having described intelligence wearable device to access described intelligent cooking equipment place, it is thus achieved that characterizing indoor has the described personal information of people；Otherwise, it is thus achieved that characterize the described personal information of indoor nobody.
15. device according to claim 11, it is characterised in that described action model includes the first action model, the second action model and the third line dynamic model formula that noise tolerance is reduced successively.
16. device according to claim 15, it is characterised in that described determine that module includes:
First determines submodule, is configured as current slot when being in the first preset time period, if the indoor nobody of described personal information instruction, it is determined that described action model is described first action model；
Second determines submodule, it is configured as current slot when being in the first preset time period, if there is people described personal information instruction indoor, and described decibel information indicates described sound decibel value to be not less than the first preset value, it is determined that described action model is described first action model.
17. device according to claim 15, it is characterised in that described determine that module includes:
3rd determines submodule, it is configured as current slot when being in the first preset time period, if there is people described personal information instruction indoor, and described decibel information indicates described sound decibel value lower than the first preset value, it is determined that described action model is described second action model；
4th determines submodule, it is configured as current slot when being in the second preset time period, if there is people described personal information instruction indoor, and described decibel information indicates described sound decibel value to be not less than the second preset value, it is determined that described action model is described second action model；
Wherein, described first preset value is higher than described second preset value.
18. device according to claim 15, it is characterised in that described determine that module includes:
5th determines submodule, it is configured as current slot when being in the first preset time period, if there is people described personal information instruction indoor, and described decibel information indicates described sound decibel value lower than the second preset value, it is determined that described action model is described the third line dynamic model formula；
6th determines submodule, is configured as current slot when being in the second preset time period, if decibel information indicates described sound decibel value lower than described second preset value, it is determined that described action model is described the third line dynamic model formula.
19. according to the device described in any one of claim 15-18, it is characterised in that described selection module includes:
First selects submodule, if being configured to described action model is described first action model, the radiating mode selecting intelligent cooking equipment is the first radiating mode；
Second selects submodule, if being configured to described action model is described second action model, the radiating mode selecting intelligent cooking equipment is the second radiating mode；
3rd selects submodule, if being configured to described action model is described the third line dynamic model formula, the radiating mode selecting intelligent cooking equipment is the 3rd radiating mode；
Wherein, the limited degree of the noise that the heat abstractor on described intelligent cooking equipment produces is improved by described first radiating mode, described second radiating mode and described 3rd radiating mode successively.
20. device according to claim 19, it is characterised in that when adopting described second radiating mode to dispel the heat, the noise that described heat abstractor produces is less than the first decibel value；
When adopting described 3rd radiating mode to dispel the heat, the noise that described heat abstractor produces is less than the second decibel value；
Wherein, described second decibel value is lower than described first decibel value.
21. a radiating treatment device, it is characterised in that including:
Processor；
For storing the memorizer of processor executable；
Wherein, described processor is configured to:
Detection characterizes the decibel information of indoor sound decibel value and characterizes whether indoor have the personal information of people；
According to described decibel information and described personal information, it is determined that the action model that current slot is corresponding；
According to described action model, select the radiating mode of intelligent cooking equipment.
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| CN105787452B (en) | 2019-05-21 |
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