CN109030306A - Kitchen ventilator condition detection method, device, system and kitchen ventilator - Google Patents
Kitchen ventilator condition detection method, device, system and kitchen ventilator Download PDFInfo
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- CN109030306A CN109030306A CN201810682628.2A CN201810682628A CN109030306A CN 109030306 A CN109030306 A CN 109030306A CN 201810682628 A CN201810682628 A CN 201810682628A CN 109030306 A CN109030306 A CN 109030306A
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- 238000001514 detection method Methods 0.000 title claims abstract description 34
- 238000012544 monitoring process Methods 0.000 claims abstract description 19
- 238000000034 method Methods 0.000 claims description 70
- 238000005259 measurement Methods 0.000 claims description 25
- 239000000779 smoke Substances 0.000 claims description 25
- 230000015654 memory Effects 0.000 claims description 21
- 238000009530 blood pressure measurement Methods 0.000 claims description 9
- 238000004891 communication Methods 0.000 claims description 9
- 230000005540 biological transmission Effects 0.000 claims description 8
- 238000004140 cleaning Methods 0.000 description 11
- 230000008569 process Effects 0.000 description 8
- 239000000523 sample Substances 0.000 description 5
- 238000009825 accumulation Methods 0.000 description 4
- 230000001186 cumulative effect Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 4
- 238000009434 installation Methods 0.000 description 4
- 238000012423 maintenance Methods 0.000 description 4
- 230000000903 blocking effect Effects 0.000 description 3
- 235000019504 cigarettes Nutrition 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000003068 static effect Effects 0.000 description 3
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- 238000007599 discharging Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 239000003517 fume Substances 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
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- 230000000750 progressive effect Effects 0.000 description 1
- 238000009288 screen filtration Methods 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 230000000391 smoking effect Effects 0.000 description 1
- 239000004071 soot Substances 0.000 description 1
- 230000003442 weekly effect Effects 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/08—Investigating permeability, pore-volume, or surface area of porous materials
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
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Abstract
The present invention provides a kind of kitchen ventilator condition detection method, device, system and kitchen ventilators, belong to Smart Home technical field.Wherein, which comprises monitor the status data of kitchen ventilator;According to the status data, judge whether the strainer of the kitchen ventilator reaches blocked state;If it is, sending filter net jam message.Kitchen ventilator condition detection method, device, system and kitchen ventilator provided by the invention, by the status data for monitoring kitchen ventilator, according to status data, judge whether the strainer of kitchen ventilator reaches blocked state, if reaching filter net jam state, filter net jam message notifying user or attendant are then sent, so that kitchen ventilator is cleaned on a timely basis, improves the use feeling of user.
Description
Technical field
The present invention relates to Smart Home technical field, in particular to a kind of kitchen ventilator condition detection method, device,
System and kitchen ventilator.
Background technique
Kitchen ventilator is mounted on kitchen for discharging kitchen fume, when consumer is in culinary cuisine, can generate a large amount of oil
Oil smoke is discharged to outdoor by cigarette, kitchen ventilator, but when filter screen filtration oil smoke, can stick some oil smoke spots, over time, will be blocked up
The mesh for filling in filter screen, influences the air quantity and smoking effect of kitchen ventilator.The prior art is usually that timed reminding consumer cleaned
Strainer, but the habit of consumer's culinary art of different regions is different, and time integral can not accurately feed back smoke machine filter net jam problem,
Simultaneously after filter net jam, some consumers may be unwilling to clean, and strainer is caused further to block, and influence holding together for smoke machine
Cigarette effect, the experience effect of the user greatly reduced.
Summary of the invention
For above-mentioned problems of the prior art, the present invention provides a kind of kitchen ventilator condition detection method, device,
System and kitchen ventilator can monitor the stopping state of strainer, filter net jam message notifying user or attendant be sent, so that oily
Smoke machine is cleaned on a timely basis.
In a first aspect, the embodiment of the invention provides a kind of kitchen ventilator condition detection methods, which comprises
Monitor the status data of kitchen ventilator;
According to the status data, judge whether the strainer of the kitchen ventilator reaches blocked state;
If it is, sending filter net jam message.
With reference to first aspect, the embodiment of the invention provides the first possible embodiments of first aspect, wherein root
According to the status data, the step of whether filter network state of the kitchen ventilator reaches blocked state judged, comprising:
The status data is compared with the initial condition data prestored, the status number is judged according to comparison result
According to variation whether exceed setting range;
If so, and the variation of the status data reach setting number beyond the number of setting range, determine the oil
The filter network state of smoke machine reaches blocked state.
The possible embodiment of with reference to first aspect the first, the embodiment of the invention provides second of first aspect
Possible embodiment, wherein it is described monitoring kitchen ventilator status data the step of, comprising:
Periodically obtain the wind pressure value of the kitchen ventilator.
The possible embodiment of second with reference to first aspect, the embodiment of the invention provides the third of first aspect
Possible embodiment, wherein the step of the wind pressure value for periodically obtaining the kitchen ventilator, comprising:
In current period, the actual measurement wind pressure value of the primary kitchen ventilator is recorded at interval of setting duration;
According to the actual measurement wind pressure value recorded in current period, the wind pressure value of the kitchen ventilator in current period is determined;Institute
Stating wind pressure value includes at least one of: maximum wind pressure value, average wind pressure value, minimum wind pressure value.
The third possible embodiment with reference to first aspect, the embodiment of the invention provides the 4th kind of first aspect
Possible embodiment, wherein described the step of recording the once actual measurement wind pressure value of the kitchen ventilator at interval of setting duration, packet
It includes:
What the interior pressure difference and second pressure sensor of the kitchen ventilator of real-time reception first pressure sensor acquisition acquired
The external differential of the kitchen ventilator;
According to the interior pressure difference and the external differential, the real-time wind pressure measurement value of kitchen ventilator described in current time is determined;
The average value of the real-time wind pressure measurement value of the kitchen ventilator in duration will be set as the actual measurement wind of the kitchen ventilator
Pressure value is recorded.
The third possible embodiment with reference to first aspect, the embodiment of the invention provides the 5th kind of first aspect
Possible embodiment, wherein the wind pressure value includes the average wind pressure value and the minimum wind pressure value;It is described by the shape
State data are compared with the initial condition data prestored, judge whether the variation of the status data exceeds the step of setting range
Suddenly, comprising:
If the ratio of the average wind pressure value and the initial averagely wind pressure value prestored is less than or equal to first threshold, and/
Or, the ratio of the minimum wind pressure value and the initial minimum wind pressure value prestored is less than or equal to second threshold, the state is determined
The variation of data exceeds setting range.
The third possible embodiment with reference to first aspect, the embodiment of the invention provides the 6th kind of first aspect
Possible embodiment, wherein the wind pressure value includes the maximum wind pressure value, the minimum wind pressure value and the average wind pressure
Value;It is described to be compared the status data with the initial condition data prestored, judge the status data variation whether
The step of beyond setting range, comprising:
The current difference for calculating the maximum wind pressure value and the minimum wind pressure value, by the current difference with it is described average
The ratio of wind pressure value is as current slope;
The initial difference for calculating the initial maximum wind pressure value prestored with the initial minimum wind pressure value prestored, will be described initial poor
It is worth and the ratio of initial averagely wind pressure value that prestores is as initial slope;
If the current slope and the ratio of the initial slope are greater than or equal to third threshold value, the status number is determined
According to variation exceed setting range.
With reference to first aspect, the embodiment of the invention provides the 7th kind of possible embodiments of first aspect, wherein institute
The step of stating the status data of monitoring kitchen ventilator, comprising:
Periodically obtain the filter net jam area of the kitchen ventilator.
The 7th kind of possible embodiment with reference to first aspect, the embodiment of the invention provides the 8th kind of first aspect
Possible embodiment, wherein the step of the filter net jam area for periodically obtaining the kitchen ventilator, comprising:
At interval of the setting period, the filter network state image of the primary kitchen ventilator is acquired by camera;
According to the filter network state image, determine the kitchen ventilator in the filter net jam area of current period.
The 7th with reference to first aspect or the 8th kind of possible embodiment, the embodiment of the invention provides first aspects
9th kind of possible embodiment, wherein it is described according to the status data, judge whether the strainer of the kitchen ventilator reaches stifled
The step of plug-like state, comprising:
If the kitchen ventilator determines the oil smoke in the area threshold that the filter net jam area of current period is more than setting
The strainer of machine reaches blocked state.
With reference to first aspect, the embodiment of the invention provides the tenth kind of possible embodiments of first aspect, wherein institute
State the step of sending filter net jam message, comprising:
The filter net jam message is sent to specified administrative center after sale, so that the specified root of administrative center after sale
Information on services is generated according to the filter net jam message, and the information on services is sent to the shifting of the corresponding user of the kitchen ventilator
The mobile terminal of dynamic terminal and attendant.
Second aspect, the embodiment of the invention also provides a kind of kitchen ventilator condition checkout gear, described device includes:
Monitoring modular, for monitoring the status data of kitchen ventilator;
Judgment module, for judging whether the strainer of the kitchen ventilator reaches blocked state according to the status data;
Message transmission module, for sending filter net jam message when the strainer of the kitchen ventilator reaches blocked state.
The third aspect, the embodiment of the invention also provides a kind of kitchen ventilator, the kitchen ventilator include: memory and with institute
The processor of memory connection is stated, the memory supports processor to execute any one of first aspect the method for storing
Program, the processor is configured to for executing the program stored in the memory.
In conjunction with the third aspect, the embodiment of the invention provides the first possible embodiments of the third aspect, wherein institute
Stating kitchen ventilator further includes the first pressure sensor being connected to the processor and second pressure sensor;
The first pressure sensor is used to acquire the interior pressure difference of the kitchen ventilator;The second pressure sensor is for adopting
Collect the external differential of the kitchen ventilator.
In conjunction with the third aspect, the embodiment of the invention provides second of possible embodiments of the third aspect, wherein institute
Stating kitchen ventilator further includes the camera being connected to the processor;
The camera is used to acquire the filter network state image of the kitchen ventilator.
Fourth aspect, the embodiment of the invention also provides a kind of kitchen ventilator condition detecting system, the kitchen ventilator state inspection
Examining system includes kitchen ventilator described in third aspect any one, and in the management after sale communicated to connect with the kitchen ventilator
The heart;
The administrative center after sale is used to receive the filter net jam message that the kitchen ventilator is sent, according to the filter net jam
Message generates information on services, and the information on services is sent to mobile terminal and the service people of the corresponding user of the kitchen ventilator
The mobile terminal of member.
The embodiment of the present invention bring it is following the utility model has the advantages that
Kitchen ventilator condition detection method, device, system and kitchen ventilator provided in an embodiment of the present invention, by monitoring kitchen ventilator
Status data judge whether the strainer of kitchen ventilator reaches blocked state according to status data, if reaching filter net jam shape
State then sends filter net jam message notifying user or attendant, so that kitchen ventilator is cleaned on a timely basis, improves the use of user
Impression.
Other features and advantages of the present invention will illustrate in the following description, also, partly become from specification
It obtains it is clear that understand through the implementation of the invention.The objectives and other advantages of the invention are in specification, claims
And specifically noted structure is achieved and obtained in attached drawing.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate
Appended attached drawing, is described in detail below.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art be briefly described, it should be apparent that, it is described below
Attached drawing is some embodiments of the present invention, for those of ordinary skill in the art, before not making the creative labor
It puts, is also possible to obtain other drawings based on these drawings.
Fig. 1 is the flow chart of kitchen ventilator condition detection method provided by one embodiment of the invention;
Fig. 2 is the flow chart of kitchen ventilator condition detection method provided by another embodiment of the present invention;
Fig. 3 is the flow chart of kitchen ventilator condition detection method provided by yet another embodiment of the invention;
Fig. 4 is the interaction figure of kitchen ventilator condition detection method provided by one embodiment of the invention;
Fig. 5 is the structural block diagram of kitchen ventilator condition checkout gear provided by one embodiment of the invention;
Fig. 6 is the structural block diagram of kitchen ventilator provided by one embodiment of the invention;
Fig. 7 is the structural block diagram of kitchen ventilator provided by another embodiment of the present invention;
Fig. 8 is the structural block diagram of kitchen ventilator condition detecting system provided by one embodiment of the invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with attached drawing to the present invention
Technical solution be clearly and completely described, it is clear that described embodiments are some of the embodiments of the present invention, rather than
Whole embodiments.The component of embodiments of the present invention, which are generally described and illustrated herein in the accompanying drawings can be matched with a variety of different
It sets to arrange and design.Therefore, the detailed description of the embodiment of the present invention provided in the accompanying drawings is not intended to limit below
The range of claimed invention, but it is merely representative of selected embodiment of the invention.Based on the embodiments of the present invention, originally
Field those of ordinary skill every other embodiment obtained without making creative work, belongs to the present invention
The range of protection.
For the problem that existing kitchen ventilator is unable to get timely cleaning, influence cigarette effect, the embodiment of the present invention provides
A kind of kitchen ventilator condition detection method, device, system and kitchen ventilator, below first to kitchen ventilator state-detection side of the invention
Method describes in detail.
Embodiment one
A kind of kitchen ventilator condition detection method is present embodiments provided, as shown in Figure 1, this method comprises the following steps:
Step 102, the status data of kitchen ventilator is monitored.
Wherein, the status data of kitchen ventilator may include the filter network state image or oil of the wind pressure value of kitchen ventilator, kitchen ventilator
The cumulative operation time of smoke machine motor.For example, the status data of kitchen ventilator periodically can be detected persistently;It can also be with not timing
The status data of kitchen ventilator is detected, the status data of kitchen ventilator is such as detected when opening kitchen ventilator every time or when closing kitchen ventilator;
Alternatively, timing detects the status data of kitchen ventilator, such as shape of daily fixed time or fixed time detection kitchen ventilator weekly
State data.
Step 104, according to status data, judge whether the strainer of kitchen ventilator reaches blocked state;If so, executing step
S106;If not, returning to step S102, continue the status data for monitoring kitchen ventilator.
In an optional embodiment, initial condition data can be preset, such as takes new kitchen ventilator or cleaning
The status data of kitchen ventilator after the completion of business is as initial condition data.In kitchen ventilator use process, the status number that will measure
It is compared according to initial condition data, judges whether the variation of status data exceeds setting range according to comparison result.If
It is then to determine that the filter network state of kitchen ventilator reaches blocked state.
It should be noted that initial condition data can also be not provided with, the threshold value of status data is directly set, for example, such as
Fruit status data is the wind pressure value of kitchen ventilator, if the wind pressure value of kitchen ventilator can be determined that oil less than the wind pressure threshold value of setting
The filter network state of smoke machine reaches blocked state.If status data is the filter network state image of kitchen ventilator, according to filter network state figure
Picture determines that the filter net jam area of kitchen ventilator can be determined that oil smoke if filter net jam area reaches the area threshold of setting
The filter network state of machine reaches blocked state.
Optionally, in order to avoid judging by accident when single judgement, fault-tolerant number can be preset.If the shape of kitchen ventilator
State data reach setting number beyond the number of setting range beyond the variation of given threshold or status data, then determine kitchen ventilator
Filter network state reach blocked state.
It is understood that if the status data of monitoring is the cumulative operation time of soot motor, if oil smoke is electromechanical
The cumulative operation time of machine is more than the time threshold of setting, then can be determined that the filter network state of kitchen ventilator reaches blocked state, should
Mode is without judging whether to reach setting number.
Step 106, filter net jam message is sent.
When the strainer for detecting kitchen ventilator reaches blocked state, can by wireless communication module (such as WIFI module or
LTE module etc.) filter net jam message is sent to the user, attendant or specified administrative center after sale of kitchen ventilator.Its
In, WIFI module and LTE module are the wireless communication module being mounted on kitchen ventilator, SIM card is installed in LTE module, when
When WIFI module search is less than available WIFI access point, network can be connected by LTE module, send filter net jam message,
And then ensure that the mobile terminal of user and attendant can timely receive filter net jam message.
By taking filter net jam message is sent to administrative center after sale by kitchen ventilator as an example, as shown in figure 4, administrative center connects after sale
After the filter net jam message for receiving kitchen ventilator transmission, information on services can be generated according to filter net jam message, and stifled according to strainer
Kitchen ventilator identifier lookup entrained by message is filled in the corresponding user information of kitchen ventilator and attendant information, and information on services is sent out
Send the mobile terminal to the mobile terminal of user and attendant.Wherein, kitchen ventilator mark can be the factory number of kitchen ventilator
Or network numbering etc..Attendant can be made house calls with subscriber, make kitchen ventilator obtain in time the cleaning of comprehensive greasy dirt and
Maintenance.After making house calls, service log can also be sent to administrative center after sale by attendant, make administrative center after sale
The use and maintenance situation of the kitchen ventilator can systematically be recorded.
Kitchen ventilator condition detection method provided in this embodiment, by monitoring the status data of kitchen ventilator, and according to state
Data, judge whether the strainer of kitchen ventilator reaches blocked state, after the strainer of kitchen ventilator reaches blocked state, will send strainer
Message notifying user or attendant are blocked, so that kitchen ventilator is cleaned on a timely basis.The method reduce due to filter screen of range hood
Long-term greasy dirt, which accumulates, inside blocking and smoke machine gives consumer's bring bad experience, while by making house calls, effectively increasing
Service of goods ability and brand influence enhance the viscosity and loyalty of consumer, further realize value-added service after sale.
Embodiment two
On the basis of the above embodiment 1, another kitchen ventilator condition detection method is present embodiments provided.Fig. 2 shows
The flow chart of kitchen ventilator condition detection method provided in this embodiment, this method describe the wind by detecting kitchen ventilator in detail
The variation of pressure value, determines whether the strainer of kitchen ventilator reaches the process of blocked state.As shown in Fig. 2, this method includes following step
It is rapid:
Step 202, in current period, the actual measurement wind pressure value of a kitchen ventilator is recorded at interval of setting duration.
Specifically, two pressure sensors can be installed on kitchen ventilator, wherein first pressure sensor is for acquiring oil
The interior pressure difference (total pressure-static pressure) of smoke machine, second pressure sensor are used to acquire the external differential (total pressure-atmospheric pressure) of kitchen ventilator.It is real
When receive first pressure sensor acquisition kitchen ventilator interior pressure difference M and second pressure sensor acquisition kitchen ventilator external differential
N;According to interior pressure difference M and external differential N, the real-time wind pressure measurement value F ' of current time kitchen ventilator is determined.Wherein, F '=M-N or F '
=N-M.Since pressure sensor acquires a data every 50ms, in a cycle B, if the reality that will be collected every time
When wind pressure measurement value recorded, then can occupy biggish memory space.In order to save memory space, while making the number of record
According to more acurrate, period B can be divided into multiple setting durations, the flat of the real-time wind pressure measurement value of kitchen ventilator in duration will be set
Mean value is recorded as the actual measurement wind pressure value of kitchen ventilator, i.e., every a setting duration, records an actual measurement wind pressure value F.If
Timing, which is grown, can be 2s, and 10s or 1 minute.For example, e wind pressure measurement values in real time are obtained in a certain setting duration Ves, point
It Wei not F '1、F’2……F’e, then in setting duration Ves, wind pressure value F=(F ' is surveyed1+F’2……+F’e)/e。
Step 204, according to the actual measurement wind pressure value recorded in current period, the wind pressure of kitchen ventilator in current period is determined
Value.
It, can be such as average using the variation of the wind pressure value of different method kitchen ventilators in different specific embodiments
Value method, minimum value method or Slope Method.The wind pressure value of the kitchen ventilator of required determination is not when using different methods, in step S204
Together.It is described as follows: if current period BnIt is interior, S actual measurement wind pressure value is had recorded altogether, if calculating S using mean value method
The average value of a actual measurement wind pressure value, as current period BnThe average wind pressure value Y of interior kitchen ventilatorn;Optionally, S can also be chosen
The minimum value in wind pressure value is surveyed as current period BnThe minimum wind pressure value X of interior kitchen ventilatorn.If selected using minimum value method
Take the minimum value in S actual measurement wind pressure value as current period BnThe minimum wind pressure value X of interior kitchen ventilatorn.If using Slope Method,
In addition to determining current period BnThe average wind pressure value Y of interior kitchen ventilatornWith minimum wind pressure value XnExcept, it also needs to choose S actual measurement wind pressure
Maximum value in value is as current period BnThe maximum wind pressure value Z of interior kitchen ventilatorn。
Step 206, the wind pressure value of the kitchen ventilator in current period is compared with the initial wind pressure value prestored.
Step 208, judge whether the variation of wind pressure value exceeds setting range according to comparison result;If so, executing step
S210;If not, returning to step S202.
In order to determine kitchen ventilator wind pressure value variation, can be measured in kitchen ventilator original state and save kitchen ventilator
Initial wind pressure value.Above-mentioned kitchen ventilator original state can be kitchen ventilator after the completion of new installation kitchen ventilator or kitchen ventilator cleaning service
State.For example, one section of initial time A set after the completion of service can be cleaned in newly installation kitchen ventilator or kitchen ventilator
It is interior, measure the initial wind pressure value of kitchen ventilator.The method for measuring the initial wind pressure value of kitchen ventilator, with determining period BnInterior kitchen ventilator
The method of wind pressure value is identical, is located in initial time A, has recorded K actual measurement wind pressure value altogether, opposite with the description in step S204
Ying Di, if calculating the average value of K actual measurement wind pressure value using mean value method, the wind pressure value that is initially averaged as kitchen ventilator
Y;Optionally, initial minimum wind pressure value X of the minimum value in K actual measurement wind pressure value as kitchen ventilator can also be chosen.If adopted
With minimum value method, then initial minimum wind pressure value X of the minimum value in K actual measurement wind pressure value as kitchen ventilator is chosen.If using
Slope Method also needs to choose in K actual measurement wind pressure value other than determining initially averagely wind pressure value Y and initial minimum wind pressure value X
Initial maximum wind pressure value Z of the maximum value as kitchen ventilator.
Optionally, the value range of above-mentioned initial time A can be 5~30 hours, and the value range of above-mentioned period B can be with
It is 1~5 hour.Initial time A and period B refers both to the operation time duration of kitchen ventilator.Kitchen ventilator in standby mode, adopt by pause
The status data of oil-collecting smoke machine.
The comparison procedure of mean value method, minimum value method and Slope Method is discussed in detail individually below.
The first, mean value method: with the accumulation of greasy dirt, the intake of kitchen ventilator can be less than normal, causes the wind pressure detected
Value reduces, and is the attenuation degree for determining average wind pressure value using mean value method.In an optional embodiment, it can be determined that average
Wind pressure value YnWhether it is less than or equal to first threshold a with the ratio of the initial averagely wind pressure value Y prestored, is indicated with following formula, Yn
≤aY.Wherein, a can between 0.6~0.9 value;If it is, determining that the variation of wind pressure value has exceeded setting range.?
In another optional embodiment, it can judge whether minimum wind pressure value and the ratio of the initial minimum wind pressure value prestored are less than simultaneously
Or it is equal to second threshold b, it is indicated with following formula, Xn≤bX.Wherein, b can between 0.5~0.9 value;If Yn≤aY
And Xn≤ bX then determines that the variation of wind pressure value has exceeded setting range.
It second, minimum value method: when common flue other users are switched on negligible amounts, if filter net jam, detects
The wind pressure value arrived can be less than normal, can directly determine the attenuation degree of minimum wind pressure value using minimum value method at this time.For example, can sentence
Whether the ratio of disconnected minimum wind pressure value and the initial minimum wind pressure value prestored is less than or equal to the 4th threshold value c, with following formula table
Show, Xn≤cX.Wherein, c can between 0.3~0.6 value;If it is, determining that the variation of wind pressure value has exceeded setting model
It encloses.
The third, Slope Method: in kitchen ventilator actual moving process, the booting quantity of common flue and available machine time are not
Fixed, the wind pressure Value Data for causing acquisition is unstable, to affect the judgement whether system blocks strainer.Inventor passes through
Verifying discovery, with the accumulation of greasy dirt, intake can be reduced, and the slope of maximum wind pressure value and minimum wind pressure value will increase, and be passed through
Slope Method realizes the identification to filter net jam, can effectively evade the booting quantity and the influence of available machine time of common flue.Tool
Body method are as follows: calculate maximum wind pressure value ZnWith minimum wind pressure value XnCurrent difference, by current difference and average wind pressure value YnRatio
Value is used as current slope;The initial difference for calculating the initial maximum wind pressure value Z prestored with the initial minimum wind pressure value X prestored, will
Initial difference is with the initial averagely ratio of wind pressure value Y prestored as initial slope;If the ratio of current slope and initial slope
Whether value is greater than or equal to third threshold value d, can be expressed as (Zn-Xn)/Yn>=d (Z-X)/Y, wherein d can be 1.1~1.6
Between value.If it is, determining that the variation of wind pressure value exceeds setting range.
It, can be wherein any using above-mentioned three kinds of methods or use simultaneously in order to keep detection process more scientific, more comprehensively
The combination of two methods.For example, when using above-mentioned three kinds of methods simultaneously, if three kinds of methods determine the variation of wind pressure value not
Beyond setting range, then assert the variation of wind pressure value without departing from setting range.As long as the result that one of method is judged is
The variation of wind pressure value exceeds setting range, then assert the variation of wind pressure value beyond setting range.When using wherein any two kinds of sides
When the combination of method, it is also referred to foregoing description execution.
Optionally, other than using above-mentioned three kinds of methods, maximum value process can also be used, judges that the variation of wind pressure value is
It is no to exceed setting range.Determine the maximum wind pressure value Z of kitchen ventilator in current periodn, judge maximum wind pressure value ZnIt is initial with prestoring
Whether the ratio of maximum wind pressure value Z is less than or equal to the 4th threshold value h, is indicated with following formula, Zn≤hZ.Wherein, h can be
Value between 0.4~0.7;If it is, determining that the variation of wind pressure value has exceeded setting range.
In view of kitchen ventilator usually has different gears, as some kitchen ventilators are provided with two shelves of high wind file and low wind file
Position, some kitchen ventilators are provided with three high wind file, middle wind file and low wind file gears.It, can be with when measuring each initial wind pressure value
For each gear measured in advance and save corresponding initial wind pressure value.When kitchen ventilator works in high wind file, by working as acquisition
The wind pressure value in preceding period initial wind pressure value corresponding with the high wind file prestored is compared, and judges the variation of wind pressure value.Work as oil smoke
When machine works in low wind file, the wind pressure value of the current period of acquisition initial wind pressure value corresponding with the low wind file prestored is compared
Compared with judging the variation of wind pressure value.
Step 210, the variation for increasing wind pressure value exceeds the number of setting range.
If it is determined that the variation of wind pressure value has exceeded setting range, then the number beyond setting range of record is increased by one
It is secondary.
Step 212, judge whether the variation of wind pressure value reaches setting number beyond the number of setting range;If so, holding
Row step S214, if not, returning to step S202, the wind pressure value into next period is detected.
Step 214, filter net jam message is sent.
If the variation of wind pressure value reaches setting number W times beyond the number of setting range, the strainer of kitchen ventilator is determined
State reaches blocked state, sends filter net jam message.Wherein, the value range of W can be 2-6 times.
It is true to set the actual measurement wind pressure value in the period by repeated detection for kitchen ventilator condition detection method provided in this embodiment
The wind pressure value in current period is determined, then according to mean value method, a kind of method or more of minimum value method, maximum value process and Slope Method
The combination of kind method judges whether the variation of wind pressure value exceeds setting range, if repeatedly exceeding setting range, can be determined that
Kitchen ventilator reaches blocked state.This method solve different regions, the problems such as different floors and common flue difference, realize with
Wind pressure Value Data after installation is periodically detected wind pressure value variation as reference data, when repeated detection to wind pressure value relative to
When the variation of reference data exceeds setting range, just determine that kitchen ventilator reaches blocked state, the exception for avoiding the short time causes
Erroneous judgement, relatively accurately reacted the greasy dirt accumulation of kitchen ventilator, improved the accuracy of detection.This method also solves
Consumer is insufficient for strainer and kitchen ventilator greasy dirt accumulation understanding, it is not known that when clean, how to clean strainer, how maintenance oil
The problems such as smoke machine, provides the services such as cleaning service, replacement strainer, smoke machine maintenance for user in time, usage rate of the user can be improved.
Embodiment three
On the basis of the above embodiment 1, present embodiments provide it is a kind of using camera acquire filter net jam area come
Judge whether filter screen of range hood occurs obstruction method.As shown in figure 3, this method comprises the following steps:
Step 302, at interval of the setting period, the filter network state image of a kitchen ventilator is acquired by camera.
Camera is installed on kitchen ventilator, sets image acquisition period, acquires oil smoke according to the setting period using camera
The filter network state image of machine.For example, a filter network state image can be acquired within a setting period, it can also be at one
It sets in the period, multi collect is carried out according to equispaced duration, obtains multiple filter network state images.
Step 304, according to filter network state image, determine kitchen ventilator in the filter net jam area of current period.
Image recognition is carried out to filter network state image, filter net jam region is determined and calculates filter net jam area.If
In one setting period, a filter network state image is acquired, then filter net jam area is directly determined according to the filter network state image.
If acquiring multiple filter network state images within a setting period, then the strainer calculated in every filter network state image is stifled
Area is filled in, filter net jam area of the average value as the setting period is then calculated.
Step 306, judge kitchen ventilator current period filter net jam area whether be more than setting area threshold;If
It is to execute step S308;If not, returning to step S302.
The area threshold for presetting the filter net jam area of permission judges kitchen ventilator in the filter net jam face of current period
Whether product is more than the area threshold set.
Step 308, filter net jam message is sent.
When filter net jam area is more than the area threshold of setting, determine that the strainer of kitchen ventilator reaches blocked state, sends
Filter net jam message.
Optionally, in order to reduce the generation of erroneous judgement, fault-tolerant number can be preset.If the filter net jam face of kitchen ventilator
Product is more than that the number of the area threshold of setting reaches setting number, then determines that the filter network state of kitchen ventilator reaches blocked state, send out
Send filter net jam message.
In an optional embodiment, it can obtain after the completion of newly installation kitchen ventilator or cleaning service and save oil smoke
The initial filter net jam area or initial strainer image of machine, in kitchen ventilator use process, by the filter net jam area measured with
Initial filter net jam area is compared, alternatively, the filter network state image of acquisition is compared with initial strainer image, is determined
The variation of filter net jam area.If the variation of filter net jam area exceeds setting range, the filter network state of kitchen ventilator is determined
Reach blocked state, sends filter net jam message.The present embodiment provides kitchen ventilator condition detection method, by camera according to setting
Fixed cycle acquires filter network state image, calculates filter net jam area according to filter network state image, when filter net jam area is more than to set
When fixed area threshold, filter net jam information alert user or attendant are sent, so that kitchen ventilator is cleaned on a timely basis, is improved
The use feeling of user.
It should be noted that the embodiments are all described in a progressive manner for above-mentioned each method, each embodiment is stressed
Be the difference from other embodiments, the non-repeated description in same and similar part between each embodiment can mutual coherent
See.
Example IV
With above method embodiment correspondingly, the embodiment of the invention also provides a kind of oil smoke machine detecting device, such as Fig. 5
Shown, which includes:
Monitoring modular 51, for monitoring the status data of kitchen ventilator;
Judgment module 52, for judging whether the strainer of kitchen ventilator reaches blocked state according to status data;
Message transmission module 53, for sending filter net jam message when the strainer of kitchen ventilator reaches blocked state.
Wherein, judgment module 52 can be also used for: status data is compared with the initial condition data prestored, according to
Comparison result judges whether the variation of status data exceeds setting range;If so, and status data variation beyond setting model
The number enclosed reaches setting number, determines that the filter network state of kitchen ventilator reaches blocked state.
Monitoring modular 51 can be also used for: periodically obtain the wind pressure value of kitchen ventilator;Such as in current period, at interval of
Set the actual measurement wind pressure value that duration records a kitchen ventilator;According to the actual measurement wind pressure value recorded in current period, determine current
The wind pressure value of kitchen ventilator in period;The wind pressure value includes at least one of: maximum wind pressure value, average wind pressure value, minimum wind
Pressure value.
Monitoring modular 51 can be also used for: the interior pressure difference and second of the kitchen ventilator of real-time reception first pressure sensor acquisition
The external differential of the kitchen ventilator of pressure sensor acquisition;According to interior pressure difference and external differential, the real-time wind of current time kitchen ventilator is determined
Press measured value;The average value for setting the real-time wind pressure measurement value of kitchen ventilator in duration is carried out as the actual measurement wind pressure value of kitchen ventilator
Record.
Judgment module 52 can be also used for: if the ratio of average wind pressure value and the initial averagely wind pressure value prestored be less than or
Equal to first threshold, and/or, the ratio of minimum wind pressure value and the initial minimum wind pressure value prestored is less than or equal to second threshold,
Determine that the variation of status data exceeds setting range.Alternatively, calculating the current difference of maximum wind pressure value and minimum wind pressure value, will work as
The ratio of preceding difference and average wind pressure value is as current slope;Calculate the initial maximum wind pressure value prestored and the initial minimum prestored
The initial difference of wind pressure value, using the ratio of initial difference and the initial averagely wind pressure value prestored as initial slope;If current
Slope and the ratio of initial slope are greater than or equal to third threshold value, determine the variation of status data beyond setting range.
Monitoring modular 51 can be also used for: the filter net jam area of kitchen ventilator periodically be obtained, such as at interval of setting week
Phase acquires the filter network state image of a kitchen ventilator by camera;According to filter network state image, determine kitchen ventilator in current week
The filter net jam area of phase.
Judgment module 52 can be also used for: if kitchen ventilator is in the area that the filter net jam area of current period is more than setting
Threshold value determines that the strainer of kitchen ventilator reaches blocked state.
Message transmission module 53 can be also used for: filter net jam message be sent to specified administrative center after sale, so as to refer to
Fixed administrative center after sale generates information on services according to filter net jam message, and information on services is sent to the corresponding use of kitchen ventilator
The mobile terminal at family and the mobile terminal of attendant.
Kitchen ventilator condition checkout gear provided in an embodiment of the present invention monitors the status number of kitchen ventilator by detection module
According to using judgment module according to status data, judging whether the strainer of kitchen ventilator reaches blocked state, when the strainer of kitchen ventilator reaches
To after blocked state, message transmission module will send filter net jam message notifying user or attendant, so that kitchen ventilator is timely
It is cleaned, improves the use feeling of user.
Embodiment five
The embodiment of the invention also provides a kind of kitchen ventilators, in an optional embodiment, as shown in fig. 6, the kitchen ventilator
Including processor 110 and the memory being connect with processor 110 120, wind pressure module 130 and communication module 140.
Wherein, memory 120 can mainly include storing program area and storage data area, wherein storing program area can be used for
Store software program and module, as in the embodiment of the present invention kitchen ventilator condition detection method and the corresponding program of device refer to
Order/module, processor 110 are stored in the software program and module of memory 120 by operation, realize that the embodiment of the present invention mentions
The kitchen ventilator condition detection method of confession.Storage data area can be used for storing the status data of kitchen ventilator, for example, the wind pressure of kitchen ventilator
Value Data, the cumulative operation time of motor, filter network state image or filter net jam area etc..In addition, memory 120 may include
High-speed random access memory can also include nonvolatile memory, for example, at least disk memory, a flash memories
Part or other volatile solid-state parts.
Wind pressure module 130 may include the first pressure sensor 131 being arranged on kitchen ventilator and second pressure sensor
132.Wherein, first pressure sensor 131 is used to acquire the interior pressure difference of kitchen ventilator, and second pressure sensor 132 is for acquiring oil
The external differential of smoke machine.
First pressure sensor 131 may include two probes, pops one's head in for two and is all set in the inside of kitchen ventilator, a probe
For detecting the total pressure of kitchen ventilator, another static pressure popped one's head in for detecting kitchen ventilator.The total pressure of kitchen ventilator includes kitchen ventilator machine
The pressure loss of body spiral case, the static pressure of kitchen ventilator are pressure when blocking state in kitchen ventilator air duct.The interior pressure difference of kitchen ventilator=
Total pressure-kitchen ventilator static pressure of kitchen ventilator.Second pressure sensor 132 may also comprise two probes, and a probe is all set in
The inside of kitchen ventilator, for detecting the total pressure of kitchen ventilator, another probe is set on the shell of kitchen ventilator, for detecting atmosphere
Pressure.External differential=kitchen ventilator total pressure-atmospheric pressure of kitchen ventilator.
Communication module 140 sends the filter net jam message that processor 110 generates for connecting network.Communication module 140 can
To be WiFi module or LTE module.WiFi belongs to short range wireless transmission technology, can be connected by neighbouring WiFi access point
Network.SIM card is installed in LTE module, can connect the base station of operator, network is connected by base station.
Processor 110 can use the above-mentioned various pieces of various interfaces or connection kitchen ventilator, by running or holding
The software program and/or module that row is stored in memory 120, and the status data being stored in memory 120 is called, it is real
Existing kitchen ventilator condition detection method provided in an embodiment of the present invention.Optionally, processor 110 may include that one or more processing are single
Member;Optionally, processor 110 can integrate application processor and modem processor, wherein application processor mainly handles behaviour
Make system, user interface and application program etc., modem processor mainly handles wireless communication.It is understood that above-mentioned
Modem processor can not also be integrated into processor 110.
In another optional embodiment, as shown in fig. 7, the kitchen ventilator includes processor 110 and connects with processor 110
Memory 120, camera 150 and the communication module 140 connect.Wherein, camera 150 is mounted on the inside of kitchen ventilator, for adopting
The filter network state image of oil-collecting smoke machine.Optionally, one or more cameras 150 can be set on kitchen ventilator.Multiple cameras
150 can synthesize the multiple image received one complete filter from multiple angle shot strainer images, processor 110
Net state image.It should be noted that can also be on same kitchen ventilator, while wind pressure module 130 and camera 150 are set.
It is appreciated that Fig. 6 and structure shown in Fig. 7 are only to illustrate, kitchen ventilator may also include than shown in Fig. 6 and Fig. 7 more
More perhaps less component or with the configuration different from shown in Fig. 6 and Fig. 7.Fig. 6 and each component shown in fig. 7 can be with
It is realized using hardware, software, or its combination.
Embodiment six
The embodiment of the invention also provides a kind of kitchen ventilator condition detecting systems, as shown in figure 8, including administrative center after sale
200, with administrative center 200 after sale communication connection kitchen ventilator 100 and user mobile terminal 300 and attendant shifting
Dynamic terminal 400.For example, can be in a city or area one administrative center 200 after sale of setting, the administrative center after sale
200 more kitchen ventilators 100 of connection, every kitchen ventilator 100 have mobile terminal 300 and the movement of attendant of corresponding user
Terminal 400.Kitchen ventilator 100 detects that strainer reaches blocked state, sends filter net jam to specified administrative center after sale 200 and disappears
Breath.
Administrative center 200 receives the filter net jam message that kitchen ventilator 100 is sent after sale, is generated according to filter net jam message
Information on services, and the kitchen ventilator identifier lookup according to entrained by filter net jam message is to the corresponding user information of kitchen ventilator and service
Information on services is sent to the mobile terminal 300 of the corresponding user of kitchen ventilator 100 and the mobile terminal of attendant by personal information
400, after user and attendant receive the information on services that administrative center 200 after sale sends, user can and attendant
Reserve kitchen ventilator cleaning service, at the same attendant can also active subscriber visit cleaning service, when kitchen ventilator is clear
Wash complete, attendant can press the key that automatically resets on kitchen ventilator 100, and kitchen ventilator state-detection is made to reenter initial rank
Section starts the data acquisition of initial time A in cycles, have stronger adaptability.Meanwhile attendant can incite somebody to action
Service log is sent to administrative center 200 after sale, and administrative center after sale will will record kitchen ventilator cleaning record, and can be according to multiple
Record speculates the use habit of user, preferably provides service for user.
Blocking message is sent to by kitchen ventilator condition detecting system provided in this embodiment when kitchen ventilator blocks
Administrative center after sale, after sale administrative center will generate service message according to filter net jam message, and the service message is sent to
The mobile terminal of user and attendant, so that kitchen ventilator is cleared up in time, meanwhile, it finishes, services when kitchen ventilator cleans
Kitchen ventilator cleaning service is sent to administrative center after sale by personnel, and kitchen ventilator state detection processes are resetted, to reenter
Initial stage starts the kitchen ventilator status monitoring for carrying out next round, realizes the intelligence of kitchen ventilator cleaning service.
Further, the embodiment of the invention also provides a kind of machine readable storage medium, the machine readable storage mediums
It is stored with machine-executable instruction, when being called and being executed by processor, machine-executable instruction promotees the machine-executable instruction
Processor is set to realize above-mentioned kitchen ventilator condition detection method.
Kitchen ventilator condition detection method, device, system and kitchen ventilator technology having the same provided in an embodiment of the present invention
Feature reaches identical technical effect so also can solve identical technical problem.
It should be noted that in embodiment provided by the present invention, it should be understood that disclosed system and method, it can
To realize by another way.The apparatus embodiments described above are merely exemplary, for example, the unit is drawn
Point, only a kind of logical function partition, there may be another division manner in actual implementation, in another example, multiple units or group
Part can be combined or can be integrated into another system, or some features can be ignored or not executed.It is described to be used as separation unit
The unit that part illustrates may or may not be physically separated, and component shown as a unit can be or can also
Not to be physical unit, it can it is in one place, or may be distributed over multiple network units.It can be according to reality
Needs some or all of the units may be selected to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in embodiment provided by the invention can integrate in one processing unit, it can also
To be that each unit physically exists alone, can also be integrated in one unit with two or more units.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic or disk.
In addition, term " first ", " second ", " third " are used for description purposes only, it is not understood to indicate or imply phase
To importance.
Finally, it should be noted that embodiment described above, only a specific embodiment of the invention, to illustrate the present invention
Technical solution, rather than its limitations, scope of protection of the present invention is not limited thereto, although with reference to the foregoing embodiments to this hair
It is bright to be described in detail, those skilled in the art should understand that: anyone skilled in the art
In the technical scope disclosed by the present invention, it can still modify to technical solution documented by previous embodiment or can be light
It is readily conceivable that variation or equivalent replacement of some of the technical features;And these modifications, variation or replacement, do not make
The essence of corresponding technical solution is detached from the spirit and scope of technical solution of the embodiment of the present invention, should all cover in protection of the invention
Within the scope of.Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (16)
1. a kind of kitchen ventilator condition detection method characterized by comprising
Monitor the status data of kitchen ventilator;
According to the status data, judge whether the strainer of the kitchen ventilator reaches blocked state;
If it is, sending filter net jam message.
2. the method according to claim 1, wherein judging the filter of the kitchen ventilator according to the status data
The step of whether net state reaches blocked state, comprising:
The status data is compared with the initial condition data prestored, the status data is judged according to comparison result
Whether variation exceeds setting range;
If so, and the variation of the status data reach setting number beyond the number of setting range, determine the kitchen ventilator
Filter network state reach blocked state.
3. according to the method described in claim 2, it is characterized in that, it is described monitoring kitchen ventilator status data the step of, comprising:
Periodically obtain the wind pressure value of the kitchen ventilator.
4. according to the method described in claim 3, it is characterized in that, the wind pressure value for periodically obtaining the kitchen ventilator
Step, comprising:
In current period, the actual measurement wind pressure value of the primary kitchen ventilator is recorded at interval of setting duration;
According to the actual measurement wind pressure value recorded in current period, the wind pressure value of the kitchen ventilator in current period is determined;The wind
Pressure value includes at least one of: maximum wind pressure value, average wind pressure value, minimum wind pressure value.
5. according to the method described in claim 4, it is characterized in that, described record the primary kitchen ventilator at interval of setting duration
Actual measurement wind pressure value the step of, comprising:
The interior pressure difference and second pressure sensor of the kitchen ventilator of real-time reception first pressure sensor acquisition acquire described
The external differential of kitchen ventilator;
According to the interior pressure difference and the external differential, the real-time wind pressure measurement value of kitchen ventilator described in current time is determined;
The average value of the real-time wind pressure measurement value of the kitchen ventilator in duration will be set as the actual measurement wind pressure value of the kitchen ventilator
It is recorded.
6. according to the method described in claim 4, it is characterized in that, the wind pressure value include the average wind pressure value and it is described most
Small wind pressure value;It is described to be compared the status data with the initial condition data prestored, judge the change of the status data
Change the step of whether exceeding setting range, comprising:
If the ratio of the average wind pressure value and the initial averagely wind pressure value prestored is less than or equal to first threshold, and/or, institute
The ratio for stating minimum wind pressure value and the initial minimum wind pressure value prestored is less than or equal to second threshold, determines the status data
Variation exceeds setting range.
7. according to the method described in claim 4, it is characterized in that, the wind pressure value include the maximum wind pressure value, it is described most
Small wind pressure value and the average wind pressure value;It is described to be compared the status data with the initial condition data prestored, judgement
The step of whether variation of the status data exceeds setting range, comprising:
The current difference for calculating the maximum wind pressure value and the minimum wind pressure value, by the current difference and the average wind pressure
The ratio of value is as current slope;
The initial difference for calculating the initial maximum wind pressure value that prestores with the initial minimum wind pressure value prestored, by the initial difference with
The ratio of the initial averagely wind pressure value prestored is as initial slope;
If the current slope and the ratio of the initial slope are greater than or equal to third threshold value, the status data is determined
Variation exceeds setting range.
8. the method according to claim 1, wherein the step of status data of the monitoring kitchen ventilator, comprising:
Periodically obtain the filter net jam area of the kitchen ventilator.
9. according to the method described in claim 8, it is characterized in that, the filter net jam for periodically obtaining the kitchen ventilator
The step of area, comprising:
At interval of the setting period, the filter network state image of the primary kitchen ventilator is acquired by camera;
According to the filter network state image, determine the kitchen ventilator in the filter net jam area of current period.
10. method according to claim 8 or claim 9, which is characterized in that it is described according to the status data, judge the oil
The step of whether strainer of smoke machine reaches blocked state, comprising:
If the kitchen ventilator determines the kitchen ventilator in the area threshold that the filter net jam area of current period is more than setting
Strainer reaches blocked state.
11. the method according to claim 1, wherein the step of transmission filter net jam message, comprising:
The filter net jam message is sent to specified administrative center after sale, so that the specified administrative center after sale is according to institute
It states filter net jam message and generates information on services, and the information on services is sent to the mobile end of the corresponding user of the kitchen ventilator
The mobile terminal at end and attendant.
12. a kind of kitchen ventilator condition checkout gear characterized by comprising
Monitoring modular, for monitoring the status data of kitchen ventilator;
Judgment module, for judging whether the strainer of the kitchen ventilator reaches blocked state according to the status data;
Message transmission module, for sending filter net jam message when the strainer of the kitchen ventilator reaches blocked state.
13. a kind of kitchen ventilator, which is characterized in that including memory and the processor being connect with the memory, the storage
Device is used to store the program for supporting processor perform claim to require any one of 1~11 the method, and the processor is configured
For for executing the program stored in the memory.
14. kitchen ventilator according to claim 13, which is characterized in that the kitchen ventilator further includes being connected to the processor
First pressure sensor and second pressure sensor;
The first pressure sensor is used to acquire the interior pressure difference of the kitchen ventilator;The second pressure sensor is for acquiring institute
State the external differential of kitchen ventilator.
15. kitchen ventilator according to claim 13, which is characterized in that the kitchen ventilator further includes being connected to the processor
Camera;
The camera is used to acquire the filter network state image of the kitchen ventilator.
16. a kind of kitchen ventilator condition detecting system, which is characterized in that including oil smoke described in any one of claim 13~15
Machine, and the administrative center after sale with kitchen ventilator communication connection;
The administrative center after sale is used to receive the filter net jam message that the kitchen ventilator is sent, according to the filter net jam message
Information on services is generated, and the information on services is sent to mobile terminal and the attendant of the kitchen ventilator corresponding user
Mobile terminal.
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