CN108060548A - A kind of washing machine and control method for washing based on big data - Google Patents
A kind of washing machine and control method for washing based on big data Download PDFInfo
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- CN108060548A CN108060548A CN201810133207.4A CN201810133207A CN108060548A CN 108060548 A CN108060548 A CN 108060548A CN 201810133207 A CN201810133207 A CN 201810133207A CN 108060548 A CN108060548 A CN 108060548A
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- 238000005406 washing Methods 0.000 title claims abstract description 142
- 238000000034 method Methods 0.000 title claims description 31
- 238000012545 processing Methods 0.000 claims abstract description 46
- 238000004900 laundering Methods 0.000 claims description 100
- 230000005611 electricity Effects 0.000 claims description 38
- 238000005265 energy consumption Methods 0.000 claims description 24
- 238000004140 cleaning Methods 0.000 claims description 20
- 238000010438 heat treatment Methods 0.000 claims description 5
- 230000008859 change Effects 0.000 claims description 4
- 238000001514 detection method Methods 0.000 claims description 3
- 238000011086 high cleaning Methods 0.000 claims description 3
- 230000037452 priming Effects 0.000 claims description 3
- 238000011160 research Methods 0.000 claims description 3
- 238000002791 soaking Methods 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 7
- 238000001035 drying Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000004659 sterilization and disinfection Methods 0.000 description 2
- PEDCQBHIVMGVHV-UHFFFAOYSA-N Glycerine Chemical compound OCC(O)CO PEDCQBHIVMGVHV-UHFFFAOYSA-N 0.000 description 1
- 241000700605 Viruses Species 0.000 description 1
- 238000004378 air conditioning Methods 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000000686 essence Substances 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000001954 sterilising effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F33/00—Control of operations performed in washing machines or washer-dryers
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- D06F2202/12—
Abstract
The invention discloses a kind of washing machines based on big data, including central processing module, washing control module, wash module, locating module and access gateway, the access gateway accesses internet by wireless routing, it further includes and the washing control module washing machine producer Cloud Server being connected by internet and the city government affair platform server being connected with washing machine producer Cloud Server；The central processing module is connected respectively with washing control module, locating module and access gateway；The washing control module is connected with wash module, and washing control module is used to that wash module to be controlled to carry out washing operation.
Description
Technical field
The present invention relates to washing machine fields, are specifically related to a kind of washing machine based on big data and laundry controlling party
Method.
Background technology
From the point of view of the whole country, washing-machine market popularity in China's has been over 76% at present, and wherein cities and towns market has been
Through being more than 96%, rural market also has been over 53%;With the policy that country's development household electrical appliances go to the countryside, expand domestic demand, laundry
Sight has been invested the rural market for possessing larger consumption potentiality by machine enterprise.The coming years, China's washing-machine market demand increase
Long spacing will mostly come from:Demand for the first time based on urbanization and rural market and upgraded to cities and towns market comsupton
Main upgrades demand;Entire washing-machine market demand will continue to keep mild growing trend in the coming years.
2010, China's washing machine total sales volume increased by a year-on-year basis close to 30%, increasing degree wound history is most ten thousand about more than 5000
High level;It is wherein domestic to realize more than 3,300 ten thousand, increase by about 28% on a year-on-year basis, outlet realizes more than 1,600 ten thousand, increase by a year-on-year basis 30% with
On, create historical high growth rate.
From the point of view of different product, China's roller washing machine total sales volume reaches more than 1,100 ten thousand within 2010, increase by a year-on-year basis 50% with
On, it accounts for washing-machine market sales volume proportion and rises to more than 20% less than 20% by last year.Wherein, fourth quarter each moon sales volume is super
1,100,000 are crossed, the share of shared washing-machine market total sales volume is more than 21%.
It is water-saving will be into following washing machine prior development direction, washing machine industry goal mainly covers energy-saving and water-saving, product work(
Energy, three general orientation of Green design.China Household Electrical Appliances Association establishment refrigerator, air-conditioning, washing machine Technology Roadmap in, just
In terms of energy-saving and water-saving, formulate by 2015, impeller-type two-tub washing machine reaches national 2 grades of efficiency, Wave wheel type full automatic laundry
Machine reaches national 1 grade of efficiency, and the drum-type fully-automatic washing of 1 grade of efficiency is confidential to reach the power consumption of European Union A+ grades, water consumption requirement,
Drum type washing drying integral machine will reach the A grades of power consumptions of GB/T23118 national standards, water consumption requirement.To the year two thousand twenty, roller washing machine reaches Europe
The power consumption of alliance A+++ grades, water consumption requirement, full-automatic pulsator washing machine reach the power consumption of national standard A+ grades, water consumption requirement, drum-type
Washing-drying integral machine reaches the power consumption of national standard A+ grades, water consumption requirement.In terms of product function, the developing direction of washing machine is great Rong
Amount, low noise, low vibration.
Traditional washing machine can only be washed according to the instruction demand of user, be unable to according to laundry power consumption condition with
And the history service condition of laundry is done washing, this is problem to be solved.
The content of the invention
It is an object of the present invention to provide a kind of washing machines and control method for washing based on big data so that
Washing machine can do washing according to the history service condition of laundry power consumption condition and laundry.
Specifically, the present invention is achieved through the following technical solutions：
A kind of washing machine based on big data, including central processing module, washing control module, wash module, positioning mould
Block and access gateway, the access gateway access internet by wireless routing, further include and pass through interconnection with washing control module
The city government affair platform server netted the washing machine producer Cloud Server of connection and be connected with washing machine producer Cloud Server；
The central processing module is connected respectively with washing control module, locating module and access gateway；It is described washing control module with
Wash module connects, and washing control module is used to that wash module to be controlled to carry out washing operation.
A kind of control method for washing of the washing machine based on big data, uses the foregoing washing machine based on big data
System, the method includes the steps：
S1：Whether central processing module detection washing machine is currently to start or detect whether to receive to change positioning letter for the first time
Number, if so, performing S2；
S2：Central processing module calls locating module, determines the geographical location where current laundry machine, determines city where washing machine
City's information；
S3：According to the urban information, central processing module is found in the city government affair platform server address locally preserved
To the government affair platform server address to Yingcheng City；
S4：Central processing module passes through government affair platform server described in gateway access；
S5：Central processing unit obtains current time；
S6：Central processing unit is according to current time, and calling and obtaining user is pre- before and after current time in the government affair platform server
If the history power information in the range of duration；
S7：According to current time, washing machine of the calling and obtaining user before and after current time in the range of preset duration makes central processing unit
With record, the washing machine usage record uses duration and laundering step including washing machine；
S8：Central processing unit counts the history power information and washing machine usage record in the range of the preset duration, determines
Laundry moment and the relation of power consumption, and calculate the average power consumption at current laundry moment；
S9：Central processing unit calls washing control module control wash module to be washed, and is predicted in real time in washing process
The power consumption of each laundering step, when total prediction power consumption of multiple laundering steps is more than the average power consumption, to for
Send alarm.
Preferably, the S9 includes：
S91：It washs control module and receives washing instruction input by user, the washing instruction includes the execution sequence of laundering step
And the execution time of each laundering step；
S92：Determine the rate period residing for each laundering step；According to the energy consumption of default each laundering step and residing
The power consumption of each laundering step of Research on electricity price prediction of rate period, if always prediction power consumption is more than the average power consumption, to
User sends alarm.
Preferably, after the S92, further include：
S93：Determine high rate period laundering step and low rate period laundering step；
S94：The energy consumption of high rate period laundering step is reduced, improves low rate period laundering step energy consumption, so that total laundry step
Rapid electricity total price reduces, wherein the electricity total price is each stage unit energy consumption electricity price and the stage energy consumption sum of products；
S95：New laundering step is regenerated, the washing control module is carried out according to the new laundering step control wash module
Washing.
Preferably, after the S93, before the S94, the method further includes：
S931：Determine the laundering step of high rate period and the cleaning specific consumption of each laundering step of high rate period and
Determine the laundering step of low rate period and the cleaning specific consumption of each laundering step of low rate period；
The S94 includes：
The energy consumption of high rate period low cleaning specific consumption laundering step is reduced, low rate period high cleaning specific consumption is accordingly improved and washes
Clothing step energy consumption, so that total laundering step electricity total price reduces, and total cleannes do not reduce.
Preferably, after the S93, before S94, the method further includes：
S931’：Judge in laundering step run time, before whether low rate period appears in high rate period, if so, holding
Row S932 '；If it is not, then perform S94；
S932’：The execution time of the low non-laundering step of rate period is reduced, redefines the electricity residing for each laundering step afterwards
The valency period, S933 ' is performed afterwards；
S933’：It determines high rate period laundering step and low rate period laundering step, performs S94 afterwards.
Preferably, the S932 ' is further included：Reduce the execution for the laundering step that low rate period cleannes are low and time-consuming
Time performs S933 ' afterwards.
Preferably, the execution time for reducing the laundering step that low rate period cleannes are low but time-consuming, including：
It calculates the cleaning angle value of each laundering step and the ratio of the step duration in the low rate period and is used as cleaning
Rate determines the step of clean rate minimum；
Reduce the duration of the step of the clean rate minimum.
Preferably, the laundering step includes soaking step, heating stepses and washing step.
Preferably, the non-laundering step includes priming steps and drain step.
Description of the drawings
It in order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention, for those of ordinary skill in the art, without creative efforts, can be with
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is a kind of washing machine structure diagram based on big data that first embodiment of the invention provides；
Fig. 2 is a kind of control method for washing signal for washing machine based on big data that second embodiment of the invention provides
Figure；
Fig. 3 is a kind of control method for washing signal for washing machine based on big data that third embodiment of the invention provides
Figure；
Fig. 4 is a kind of control method for washing signal for washing machine based on big data that fourth embodiment of the invention provides
Figure.
Specific embodiment
Here exemplary embodiment will be illustrated in detail, example is illustrated in the accompanying drawings.Following description is related to
During attached drawing, unless otherwise indicated, the same numbers in different attached drawings represent the same or similar element.Following exemplary embodiment
Described in embodiment do not represent and the consistent all embodiments of the present invention.On the contrary, they be only with it is such as appended
The example of the consistent apparatus and method of some aspects being described in detail in claims, of the invention.
It is only merely for the purpose of description specific embodiment in terminology used in the present invention, is not intended to limit the invention.
It is also intended in " one kind " of singulative of the invention and used in the attached claims, " described " and "the" including majority
Form, unless context clearly shows that other meanings.It is also understood that term "and/or" used herein refers to and wraps
Containing one or more associated list items purposes, any or all may be combined.
It will be appreciated that though various information, but this may be described using term first, second, third, etc. in the present invention
A little information should not necessarily be limited by these terms.These terms are only used for same type of information being distinguished from each other out.For example, it is not departing from
In the case of the scope of the invention, the first information can also be referred to as the second information, and similarly, the second information can also be referred to as
One information.Depending on linguistic context, word as used in this " if " can be construed to " ... when " or " when ...
When " or " in response to determining ".
The present invention will be described in detail by way of examples below.
The present invention provides a kind of washing machine based on big data, as shown in Figure 1, including central processing module, washing
Control module, wash module, locating module and access gateway are washed, the access gateway accesses internet by wireless routing, also
Including the washing machine producer Cloud Server that is connected with washing control module by internet and with washing machine producer Cloud Server
The city government affair platform server of connection；The central processing module is respectively with washing control module, locating module and access net
Connection connects；The washing control module is connected with wash module, and washing control module is used to that wash module to be controlled to carry out washing behaviour
Make.
The present invention also provides a kind of control method for washing of the washing machine based on big data, as shown in Fig. 2, described
Method includes step：
S1：Whether central processing module detection washing machine is currently to start or detect whether to receive to change positioning letter for the first time
Number, if so, performing S2.
Washing machine in the washing machine based on big data has locating module, can pass through the locating module
Connect network automatic positioning current location.When washing machine starts, whether it is washing machine first time that washing machine can detect current
Start, if so, explanation currently starts for the first time after washing machine purchase, central processing module should call locating module,
It determines the geographical location where current laundry machine, determines urban information where washing machine；Specifically, the central processing unit of washing machine
One piece of memory space can be opened up in memory headroom and carries out initial start-up flag bit memory block, and will be described first when dispatching from the factory
Active flag position is reset, and washing machine on startup, first checks for whether the initial start-up flag bit is 0, if so, centre
Reason module calls locating module to be positioned, and obtains the longitude and latitude of current laundry machine, and determines currently to wash according to latitude and longitude information
Administrative region residing for clothing machine, specifically, the locating module is GPS positioning system.Make in addition, it is contemplated that washing machine has
The situation in different cities area is shifted to after, at this moment, user can click on changes positioning button on control panel, to center
Processing module transmission changes positioning signal, after central processing module, which receives, changes positioning signal, also re-call locating module into
Row positioning.
S2：Central processing module calls locating module, determines the geographical location where current laundry machine, determines washing machine institute
In urban information.
Specifically, the table of comparisons of urban information and geographical location can be stored in advance in the Cloud Server of washing machine producer
In, after central processing module calls locating module to determine the geographical location information where current laundry machine, by the geographical location
Information is sent in the Cloud Server, after geographical location information described in the cloud server, according to the urban information
City where determining washing machine with the table of comparisons in geographical location.
S3：According to the urban information, central processing module in the city government affair platform server address locally preserved,
Search out the government affair platform server address to Yingcheng City.
Central processing module is locally preserving each city government affair platform server address, behind city where determining,
It can be in the city government affair platform server address locally preserved, with searching out government affair platform server to Yingcheng City
Location.
S4：Central processing module passes through government affair platform server described in gateway access.
S5：Central processing unit obtains current time.
S6：Central processing unit is according to current time, and calling and obtaining user is before current time in the government affair platform server
History power information in the range of preset duration afterwards.
The electricity consumption situation of user is regular, these rules are stored in government affair platform clothes in the form of history power information
It is engaged in device, the history power information includes power consumption data of the active user in each period.
Further, the government affair platform server also receives the washing machine producer cloud being stored in central processing unit
Server address, will be by the history after history power information of the calling and obtaining user before and after current time in the range of preset duration
Power information is sent in producer's Cloud Server corresponding with the washing machine producer Cloud Server address.Producer's cloud service
Device generates the representation data of user according to the history power information, and by the representation data of the user and is stored in producer's cloud
Consumption predictions data in server are matched, and determine the electricity consumption consuming capacity of active user.
S7：Central processing unit is according to current time, laundry of the calling and obtaining user before and after current time in the range of preset duration
Machine usage record, the washing machine usage record use duration and laundering step including washing machine.
For example, shown in historical record, user in history after daily current time using electricity all beyond working as
The average level on ground then illustrates that the electricity consumption consuming capacity of the user is stronger, if user after current time using between electricity
Having a rest property changes, then the changing rule of counting user power consumption, determines electricity consumption consuming capacity of the user in different times, finally, energy
Enough to count electricity consumption consuming capacity of the user after current time, for example, being obtained by statistics, user is at current time
Electricity consumption ability is stronger within 30 minutes afterwards, and electricity consumption ability is weaker within 20 minutes afterwards, and 30 minutes afterwards electricity consumption abilities become by force again, then basis
Such user recommends to user and suggests different laundering steps in the electricity consumption consuming capacity of different times.
S8：Central processing unit counts the history power information and washing machine usage record in the range of the preset duration,
It determines the relation of laundry moment and power consumption, and calculates the average power consumption at current laundry moment.
In the step s 7, it has been determined that user different times electricity consumption consuming capacity, after this, central processing unit
History power information and washing machine usage record of the statistics in the range of the preset duration, definite laundry moment and power consumption
Relation, and calculate the average power consumption at current laundry moment.For example, current time is 18:00, in washing machine usage record
To information be：18:00~18:05 be in fill phase, power consumption be 1 power consumption unit, 18:05~18:10 add in water temperature
The hot stage, power consumption be 10 power consumption units, 18:10~18:30 be in the washing stage, power consumption be 30 power consumption units, 18:
30~18:50 be in rinse stage, power consumption be 20 power consumption units, 18:50~19:10 are in drying stage, power consumption 20
A power consumption unit.What these data displays went out be history power information and washing machine usage record record user 18:When 00
The laundry order started and washing habit are carved, as shown in the data of front, when with 18:00 be the current laundry moment when, laundry
Shi Changwei 70 minutes, average power consumption are 81 power consumption units.
S9：Central processing unit calls washing control module control wash module to be washed, and in washing process in real time
Predict the power consumption of each laundering step, when total prediction power consumption of multiple laundering steps is more than the average power consumption, to
For sending alarm.
After having grasped in historical record using current time as the laundering step and power consumption in the period of starting point, so that it may
Using the power consumption as standard of comparison, when always prediction power consumption is more than the average power consumption, alarm is carried out, to remind use
The possible electricity in family excessively uses.
Further, as shown in figure 3, the S9 includes：
S91：It washs control module and receives washing instruction input by user, the washing instruction includes the execution sequence of laundering step
And the execution time of each laundering step.
Washing instruction input by user includes the execution time of the execution sequence and each laundering step of laundering step, such as
Washing input by user, which instructs, is：It performs water inlet step 3 minutes, performs heating stepses 5 minutes, perform washing step 30 minutes,
It performs rinse step 20 minutes, performs drying step 20 minutes, perform baking step 20 minutes, perform ultraviolet light and kill virus 20 points
Clock.
S92：Determine the rate period residing for each laundering step；According to the energy consumption of default each laundering step and institute
The power consumption of each laundering step of Research on electricity price prediction of the rate period at place, if always prediction power consumption is more than the average power consumption,
Then issue the user with alarm.
When central controller has known rate period and each laundry step input by user residing for each laundering step
After the rapid execution time, central processing unit just can determine that each laundering step can consume by the formula of " electricity price * durations "
Electricity so as to estimate out the electricity service condition during entire laundry processes, estimates generation " electricity-time " graph of relation,
This relation table can show the power consumption variation tendency in laundry processes, afterwards, central processing unit from whole time span
" electricity-time " graph of relation for currently estimating generation and " electricity-time " that is obtained from history power information can be closed
System is compared, and specific control methods is：" electricity-time " graph of relation by described in is cut into difference sequentially in time
Curved section, for each curved section being cut into, determine each maximum point of the curved section, determine each maximum afterwards
The corresponding moment value of point obtains the point that multiple transverse and longitudinal coordinates are respectively " moment, maximum ", to each " moment, maximum " point
It is analyzed, the average electricity value of the period where the maximum that current point is found by analysis is more than the corresponding moment, then
This maximum is recorded as super equal maximum, after all maximum points are traveled through, if the average value of all super equal maximum obtained
More than default threshold value, then illustrate that the electricity of current slot has more than the danger of the average electricity value of period.
Further, as shown in figure 4, after the S92, further include：
S93：Determine high rate period laundering step and low rate period laundering step；
Central processing unit obtains the electricity price of different periods from government affairs Platform Server, determines high rate period and low rate period,
And determine high rate period laundering step and low rate period laundering step.
S94：The energy consumption of high rate period laundering step is reduced, low rate period laundering step energy consumption is improved, so as to always wash
Clothing step electricity total price reduces, wherein the electricity total price is each stage unit energy consumption electricity price and the stage energy consumption sum of products；
S95：New laundering step is regenerated, the washing control module is carried out according to the new laundering step control wash module
Washing.
In this manner, power consumption can be reduced on the premise of laundry quality is ensured.
Further, after the S93, before the S94, the method further includes：
S931：Determine the laundering step of high rate period and the cleaning specific consumption of each laundering step of high rate period and really
The laundering step of fixed low rate period and the cleaning specific consumption of each laundering step of low rate period.
The ratio of dirt-removing power and corresponding energy consumption of the cleaning specific consumption described here for laundry, i.e. every one unit of consumption
Electric energy, the increased clean level of clothing.Cleaning specific consumption is different possessed by each step in laundering step, such as
Ultraviolet sterilization step, the electric energy no matter the step consumes is more again, and the increased clean level of clothing is always 0, because ultraviolet
Line sterilisation step in itself can not have an impact the clean level of clothing, likewise, washing step, rinse step and heating step
Rapid energy consumption is different, and the increased clean level of clothing is had an impact, and usually we only know that washing step increases for clothing
Clean level it is most strong, but usually ignore that change step be also the most step of energy consumption, if single angle from cleaning specific consumption
Consider, perhaps the cleaning specific consumption of washing step and not bery high.The present invention by washing machine producer for various clothings, various
The combination of degree of fouling is largely tested, and obtains the cleaning energy of different laundering steps of the different clothings under degree of fouling
Consumption rate is stored in washing machine producer Cloud Server, is chosen and is used for washing machine.
Further, the S94 includes：
The energy consumption of high rate period low cleaning specific consumption laundering step is reduced, low rate period high cleaning specific consumption is accordingly improved and washes
Clothing step energy consumption, so that total laundering step electricity total price reduces, and total cleannes do not reduce.
Further, after the S93, before S94, the method further includes：
S931’：Judge in laundering step run time, before whether low rate period appears in high rate period, if so, holding
Row S932 '；If it is not, then perform S94；
S932’：The execution time of the low non-laundering step of rate period is reduced, redefines the electricity residing for each laundering step afterwards
The valency period, S933 ' is performed afterwards；
S933’：It determines high rate period laundering step and low rate period laundering step, performs S94 afterwards.
Further, the S932 ' is further included：Reduce holding for the laundering step that low rate period cleannes are low and time-consuming
The row time, S933 ' is performed afterwards.
Further, the execution time for reducing the laundering step that low rate period cleannes are low but time-consuming, including：
It calculates the cleaning angle value of each laundering step and the ratio of the step duration in the low rate period and is used as cleaning
Rate determines the step of clean rate minimum；
Reduce the duration of the step of the clean rate minimum.
Further, the laundering step includes soaking step, heating stepses and washing step.
Further, the non-laundering step includes priming steps and drain step.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
God and any modification, equivalent substitution, improvement and etc. within principle, done, should be included within the scope of protection of the invention.
Claims (10)
1. a kind of washing machine based on big data, which is characterized in that including central processing module, washing control module, wash
Module, locating module and access gateway are washed, the access gateway accesses internet by wireless routing, further includes and is controlled with washing
The washing machine producer Cloud Server and the city government affairs being connected with washing machine producer Cloud Server that module is connected by internet
Platform Server；The central processing module is connected respectively with washing control module, locating module and access gateway；The washing
Control module is connected with wash module, and washing control module is used to that wash module to be controlled to carry out washing operation.
2. a kind of control method for washing of the washing machine based on big data, described in usage right requirement 1 based on big data
Washing machine, which is characterized in that the method includes the steps：
S1：Whether central processing module detection washing machine is currently to start or detect whether to receive to change positioning letter for the first time
Number, if so, performing S2；
S2：Central processing module calls locating module, determines the geographical location where current laundry machine, determines city where washing machine
City's information；
S3：According to the urban information, central processing module is found in the city government affair platform server address locally preserved
To the government affair platform server address to Yingcheng City；
S4：Central processing module passes through government affair platform server described in gateway access；
S5：Central processing unit obtains current time；
S6：Central processing unit is according to current time, and calling and obtaining user is pre- before and after current time in the government affair platform server
If the history power information in the range of duration；
S7：According to current time, washing machine of the calling and obtaining user before and after current time in the range of preset duration makes central processing unit
With record, the washing machine usage record uses duration and laundering step including washing machine；
S8：Central processing unit counts the history power information and washing machine usage record in the range of the preset duration, determines
Laundry moment and the relation of power consumption, and calculate the average power consumption at current laundry moment；
S9：Central processing unit calls washing control module control wash module to be washed, and is predicted in real time in washing process
The power consumption of each laundering step, when total prediction power consumption of multiple laundering steps is more than the average power consumption, to for
Send alarm.
3. according to claim 2 control method for washing, which is characterized in that the S9 includes：
S91：It washs control module and receives washing instruction input by user, the washing instruction includes the execution sequence of laundering step
And the execution time of each laundering step；
S92：Determine the rate period residing for each laundering step；According to the energy consumption of default each laundering step and residing
The power consumption of each laundering step of Research on electricity price prediction of rate period, if always prediction power consumption is more than the average power consumption, to
User sends alarm.
4. according to claim 3 control method for washing, which is characterized in that after the S92, further include：
S93：Determine high rate period laundering step and low rate period laundering step；
S94：The energy consumption of high rate period laundering step is reduced, improves low rate period laundering step energy consumption, so that total laundry step
Rapid electricity total price reduces, wherein the electricity total price is each stage unit energy consumption electricity price and the stage energy consumption sum of products；
S95：New laundering step is regenerated, the washing control module is carried out according to the new laundering step control wash module
Washing.
5. according to the method described in claim 4, it is characterized in that, after the S93, before the S94, the method
It further includes：
S931：Determine the laundering step of high rate period and the cleaning specific consumption of each laundering step of high rate period and
Determine the laundering step of low rate period and the cleaning specific consumption of each laundering step of low rate period；
The S94 includes：
The energy consumption of high rate period low cleaning specific consumption laundering step is reduced, low rate period high cleaning specific consumption is accordingly improved and washes
Clothing step energy consumption, so that total laundering step electricity total price reduces, and total cleannes do not reduce.
6. according to the method described in claim 4, it is characterized in that, after the S93, before S94, the method is also wrapped
It includes：
S931’：Judge in laundering step run time, before whether low rate period appears in high rate period, if so, holding
Row S932 '；If it is not, then perform S94；
S932’：The execution time of the low non-laundering step of rate period is reduced, redefines the electricity residing for each laundering step afterwards
The valency period, S933 ' is performed afterwards；
S933’：It determines high rate period laundering step and low rate period laundering step, performs S94 afterwards.
7. according to the method described in claim 6, it is characterized in that, the S932 ' is further included：Reduce low rate period cleannes
Low and the laundering step that time-consuming the execution time, S933 ' is performed afterwards.
8. the method according to the description of claim 7 is characterized in that described reduce what low rate period cleannes were low but time-consuming
The execution time of laundering step, including：
It calculates the cleaning angle value of each laundering step and the ratio of the step duration in the low rate period and is used as cleaning
Rate determines the step of clean rate minimum；
Reduce the duration of the step of the clean rate minimum.
9. according to the method described in claim 2, it is characterized in that, the laundering step include soaking step, heating stepses and
Washing step.
10. according to the method described in claim 6, it is characterized in that, the non-laundering step includes priming steps and draining walks
Suddenly.
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