CN109425117A - A kind of intelligence of water heater exempts from method of controlling operation thereof and water heater - Google Patents

A kind of intelligence of water heater exempts from method of controlling operation thereof and water heater Download PDF

Info

Publication number
CN109425117A
CN109425117A CN201710602534.5A CN201710602534A CN109425117A CN 109425117 A CN109425117 A CN 109425117A CN 201710602534 A CN201710602534 A CN 201710602534A CN 109425117 A CN109425117 A CN 109425117A
Authority
CN
China
Prior art keywords
water
mode
water heater
temperature
time
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201710602534.5A
Other languages
Chinese (zh)
Other versions
CN109425117B (en
Inventor
薛祥玉
张斌
付信嵩
陈圆圆
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Qingdao Economic and Technological Development Zone Haier Water Heater Co Ltd
Original Assignee
Qingdao Economic and Technological Development Zone Haier Water Heater Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Qingdao Economic and Technological Development Zone Haier Water Heater Co Ltd filed Critical Qingdao Economic and Technological Development Zone Haier Water Heater Co Ltd
Priority to CN201710602534.5A priority Critical patent/CN109425117B/en
Publication of CN109425117A publication Critical patent/CN109425117A/en
Application granted granted Critical
Publication of CN109425117B publication Critical patent/CN109425117B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24HFLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
    • F24H9/00Details
    • F24H9/20Arrangement or mounting of control or safety devices
    • F24H9/2007Arrangement or mounting of control or safety devices for water heaters
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/042Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Thermal Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Heat-Pump Type And Storage Water Heaters (AREA)

Abstract

The invention belongs to field of water heaters, specifically, the intelligence for being related to a kind of water heater exempts from method of controlling operation thereof and water heater, data processing unit analyzes the history water data of user before current time, water time point and/or water consumption are used with the specific of water next time after prediction current time, different functional modes is selected according to specifically water heater is controlled with water time point and/or water consumption, beneficial effects of the present invention are the time interval by judging to use water time and current time next time, whether control water heater selects close pattern, realize that intelligence is closed, heating is effectively avoided to waste, realize energy conservation;It is automatic that water heater function mode is set by predicting with the water consumption of water and to use the water time next time, the manual operation of user can be exempted, realized really intelligent.

Description

A kind of intelligence of water heater exempts from method of controlling operation thereof and water heater
Technical field
The invention belongs to field of water heaters, specifically, the intelligence for being related to a kind of water heater exempts from method of controlling operation thereof and heat Hydrophone.
Background technique
Water heater refers to makes cold water temperature increase a kind of dress for becoming hot water within a certain period of time by various physical principles It sets.Electric heater, gas heater, solar water heater, magnetic energy water heater, air energy thermal water can be divided into according to principle difference Device, water heater in central heating etc..
Water heater includes manufacture cold air part and manufacture hot water section.The two parts are closely contacted one again in fact It rises, it is inseparable, and must work at the same time.While manufacturing hot water, another part is given to freeze.
Currently, for user's prediction of water behavior, usually it is only capable of predicting with the water period, cannot predicts and specifically use water Time point keeps prediction not accurate enough, and such as user in use, water heater does not heat also finishes, user is not available, to making for user With bringing many troubles;Moreover, lead to production use is all water heater itself at present for the storage of water data and data processing Controller ROM and memory, limited by storage unit storage capacity, be only capable of analysis a period of time in data (such as 21 days, 49 days etc.), it is subject to processing the limitation of cell processing ability, too complicated algorithm can not be disposed, precision further decreases;Again Have, the algorithm currently used for being predicted usually compares fixation, can not achieve and is automatically repaired, and flexibility is poor, is not enough bonded each Position user.
There is also following disadvantages for current water heater: considering from intelligent angle, current water heater control method requires Human intervention, either operation machine still remotely operate all unavoidable user's input of APP, are not real intelligence.From Energy Angle considers that, since how the indefinite function of user and temperature are arranged, the functional mode being generally arranged is improper and sets Temperature drift (such as 75 degree) are set, and do not need so high setting temperature actually, are resulted in waste of resources.
In view of this present invention is specifically proposed.
Summary of the invention
The technical problem to be solved in the present invention is that the intelligence for overcoming the deficiencies of the prior art and provide a kind of water heater is exempted to grasp Make control method and water heater, by the time interval for judging to use water time and current time next time, whether is control water heater Close pattern is selected, realizes that intelligence is closed, heating is effectively avoided to waste, realize energy conservation;Water is used with water next time by prediction Amount and the water time is used, it is automatic that water heater function mode is set, the manual operation of user can be exempted, realized really intelligent.
In order to solve the above technical problems, the present invention is using the basic conception of technical solution:
A kind of intelligence of water heater exempts from method of controlling operation thereof, and data processing unit analyzes the history of user before current time Water data predicts specific use water time point and/or the water consumption for using water next time after current time, uses water according to specific Time point and/or water consumption control water heater select different functional modes.
Different functional modes is selected according to specifically water heater is controlled with water time point, including
The functional mode includes shutdown mode, and data processing unit is controlled according to water time point and current time is specifically used Whether heat water producer selects shutdown mode.
According to using the specific of water to use water time point and current time next time, whether control water heater selects data processing unit Shutdown mode is selected, including
Data processing unit calculates the specific time difference △ m with water time point and current time for using water next time, judgement The size relation of △ m and preset value M control water heater selection shutdown mode if △ m > preset value M;If △ m≤pre- If value M, then water heater selection heating mode is controlled,
Preferably, preset value M=24 hours.
The functional mode further includes the multiple heating modes heated to water in water heater, data processing unit according to The water consumption of inflow temperature, the volume of water heater and prediction, control water heater select different heating modes;
Preferably, the heating mode includes one in medium temperature holding mode, half gallbladder mode, full gallbladder mode and increase-volume mode Kind is several.
Data processing unit controls water heater selection and adds according to the water consumption of inflow temperature, the volume of water heater and prediction Heat pattern, including
Water consumption Q, inflow temperature T of the data processing unit according to prediction1With the volume L of water heater, calculates and used with default The corresponding target temperature T of water controls water heater according to target temperature T and selects heating mode;
Preferably, water heater presets multiple heating modes and temperature range corresponding with each heating mode, according to Target temperature T and each temperature range, control water heater select different heating modes.
According to the water consumption Q of prediction, inflow temperature T1With the volume L of water heater, calculate corresponding with the water consumption of prediction Target temperature T,
Wherein: T0For with coolant-temperature gage, unit: DEG C;
T1For inflow temperature, unit: DEG C;
Q is prediction water consumption, unit: L;
L is water heater volume, unit: L;
Target temperature T and each temperature range are compared, temperature range corresponding with target temperature T-phase, control are obtained Water heater selection heating mode corresponding with the temperature range obtained.
Described target temperature T and each temperature range are compared, and control water heater selects heating mode, including
Water heater presets medium temperature holding mode, and temperature range corresponding with medium temperature holding mode is (0-40 DEG C);
Half gallbladder mode, temperature range corresponding with half gallbladder mode be [40 DEG C -50 DEG C);
Full gallbladder mode, temperature range corresponding with full gallbladder mode are [50 DEG C -75 DEG C];
Increase-volume mode, temperature range corresponding with increase-volume mode are (75 DEG C -+∞);
If 40 DEG C of target temperature T <, water heater selection medium temperature holding mode is controlled;
If 50 DEG C of 40 DEG C≤target temperature T <, controls water heater and select half gallbladder mode, be arranged under the mode and set automatically Determining temperature is 1.5*T;
If 50 DEG C≤target temperature T≤75 DEG C, controls water heater and select full gallbladder mode, the automatic setting under the mode Temperature is T;
If 75 DEG C of target temperature T >, water heater selection increase-volume mode is controlled.
Data processing unit analyzes the history water data prediction water consumption of user before current time, comprising:
Data processing unit analyzes the history water data of user before current time, predicts current time later next time Water duration is used with water, according to water flow velocity and the water consumption Q described in water duration prediction;
Preferably, according to water time point and current time is specifically used, whether control water heater selects to close data processing unit After machine mode, if not selecting shutdown mode, water consumption is calculated.
The intelligence exempts from method of controlling operation thereof, comprising the following steps:
Data processing unit analyzes the history water data of user before current time, when current according to water applying model prediction Between after next time use the water period, and count before current time N days this with the water data in the water period, predict next time With in the water period user it is specific with water time point and with water duration;
Data processing unit according to the specific time difference △ m both calculated with water time point and current time, judge △ m with The size relation of preset value M controls water heater selection shutdown mode if △ m > preset value M;
If △ m≤preset value M, water consumption Q is calculated according to water duration and with water flow velocity, according to water consumption Q, water inlet Temperature T1With the volume L of water heater, according to following formula
Calculate target temperature T corresponding with the water consumption Q of prediction;
If 40 DEG C of target temperature T <, water heater selection medium temperature holding mode is controlled,
If 50 DEG C of 40 DEG C≤target temperature T <, controls water heater and select half gallbladder mode, the automatic setting under the mode Temperature is 1.5*T,
If 50 DEG C≤target temperature T≤75 DEG C, controls water heater and select full gallbladder mode, the automatic setting under the mode Temperature is T,
If 75 DEG C of target temperature T >, water heater selection increase-volume mode is controlled.
A kind of water heater for exempting from method of controlling operation thereof using above-mentioned intelligence.After adopting the above technical scheme, the present invention with The prior art compares the time interval having the advantages that by judging to use water time and current time next time, control Whether water heater selects close pattern, realizes that intelligence is closed, heating is effectively avoided to waste, realize energy conservation;By predicting next time It is automatic that water heater function mode is set with the water consumption of water and with the water time, the manual operation of user can be exempted, realized real Intelligence.
A specific embodiment of the invention is described in further detail with reference to the accompanying drawing.
Detailed description of the invention
Attached drawing is as a part of the invention, and for providing further understanding of the invention, of the invention is schematic Examples and descriptions thereof are used to explain the present invention, but does not constitute an undue limitation on the present invention.Obviously, the accompanying drawings in the following description Only some embodiments to those skilled in the art without creative efforts, can be with Other accompanying drawings can also be obtained according to these attached drawings.In the accompanying drawings:
Fig. 1 is a kind of method flow diagram of water heater prediction user's water behavior of the present invention;
Fig. 2 is that water heater of the present invention specifically predicts user with the method flow diagram of water behavior;
Fig. 3 is water heater control structure schematic diagram of the present invention;
Fig. 4 is that a kind of intelligence of water heater of the present invention exempts from method of controlling operation thereof structural schematic diagram;
Fig. 5 is that a kind of intelligence of water heater of the present invention is exempted to operate specific control method structural schematic diagram;
Fig. 6 is that method of controlling operation thereof flow chart is exempted from a kind of water heater prediction user's water behavior of the present invention and realization.
It should be noted that these attached drawings and verbal description are not intended to the design model limiting the invention in any way It encloses, but illustrates idea of the invention by referring to specific embodiments for those skilled in the art.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention In attached drawing, the technical solution in embodiment is clearly and completely described, the following examples are intended to illustrate the invention, but It is not intended to limit the scope of the invention.
Embodiment one
A kind of method of water heater prediction user's water behavior, data processing unit analyze the use of user before current time Water number uses the water period with water next time according to water applying model is established, according to after water applying model prediction current time, and counts It is predicted next time in the water data in the water period with the specific use of user in the water period within N days before current time Water time point.
It at present for user's prediction of water behavior, is calculated using the controller of machine itself, it can only It predicts and uses the water period, and cannot make to predict that error is larger specific to time point, if water period is longer, possible user When using hot water, water heater is not heated also, is made troubles to the use of user.
The present invention builds the water data (i.e. history water data) of user before current time by data processing unit Vertical water applying model first predicts the water period for using water next time, then by using water number in the water period described before N days According to further water time point is used in accurate prediction, so that prediction is more accurate.
Wherein, the method for building up of the water applying model (i.e. water applying model X) are as follows:
According to known basic model tool and water data, the basic model tool such as statistical models, thermodynamics Model and dynamic meter learn model etc., and the water data includes water temperature, flow and time.
Show that water applying model is A according to statistical models and water data,
Show that water applying model is B according to thermodynamical model and water data,
Model is learned according to dynamic meter and water data show that water applying model is C,
In conjunction with first N days actual used water data (3 days water data generally before current time), it is fitted to obtain Water applying model X,
X=α A+ β B+ λ c
The water period predicted using water applying model X is more accurate.
Further, prediction is used next time and specifically uses water time point in the water period, comprising:
When N days every day before data processing unit statistics current time specifically uses water within the use water period Between point, according to it is described use water time point, prediction next time with water it is specific use water time point.
Due to user's daily water time point of using, there may be regular hour errors, according to N days before current time Every day described with specifically using the specific of water to use water time point next time with water time point prediction in the water period.
Such as, it can show that user is larger in the probability at which time point according to specific time point, and then predict next time Specific with water uses water time point, and water period is accurate to and specifically uses water time point, error is smaller, and user experience is good.
Further, data processing unit is handled first N days actual used water time points using weighted mean method, in advance It surveys and uses water time point with the specific of water next time.
By the way that N days every day before current time is specifically united with water time point described in the water period Meter, respectively with weighted corresponding to water time point, using weighted mean method prediction obtain next time with water it is specific with water when Between point by introduce weight accounting, make it is specific be more bonded reality with water time point, it is more accurate.
Wherein, it is preset to can be water heater for weight accounting, can also be calculated according to historical data, can also be it His any mode that weight accounting can be obtained.
Weight accounting is preset below with water heater to explain:
Water heater presets weight accounting corresponding with every day in N days before current time, data processing unit N days every day before counting current time used water time point in described use in the water period, according to N days before current time Use water time point and corresponding weight accounting, prediction uses water time point with specific in the water period next time.
User can distance according to N days before current time apart from current time, preset weight accounting, number of days distance Current time is closer, and weight accounting is bigger, and e.g., the 1st day before current time weight accounting is maximum, and preceding the before the preceding time 2 days weight accountings are taken second place, and so on.
Wherein, can also according to the water habits of user with one week be a unit, according in one week every day it is important Degree sets weight accounting.Such as, the weight at weekend is maximum in user one week, and the weight of Monday is smaller.
Further, water time point and weight accounting are used according to N days before current time, water is used in prediction next time when Specific use water time point in section, including,
Data processing unit calculate before in N days every day it is described in the water period with water time point and it is described use water when Between section start time point difference △ ti(1≤i≤N, i are positive integer), according to the difference △ t obtained first N days every dayi With corresponding weight accounting, prediction is next time with specific with water time point in the water period.
Due in first N days every day with water time point there are certain fluctuation, pass through calculating difference △ t and reduce operation Amount calculates according to difference △ t and corresponding weight accounting and specifically uses the water time, and error is smaller.
It is specifically described a kind of method that prediction user specifically uses water time point below, comprising the following steps:
Whole water data of user establish water applying model X before data processing unit analysis current time, according to water Model X predict current time after next time be t with the water perioda-tb
Data processing unit presets weight accounting W corresponding with every day in first N days before current timei(1≤i ≤ N, i are positive integer);
The first N days water period t before counting current timea-tbInterior uses water time point ti(1≤i≤N, i are positive whole Number), according to weight accounting Wi, with water time point tiWith start time point ta, the difference △ t of N days every day before calculatingi=ti- ta, and calculate water period t next timea-tbThe interior specific predicted value t=t with water time pointa+(△t1*W1+△t2* W2……+ △ti*Wi)。
Further, water heater prediction user further includes that prediction uses water with water next time with the method for water behavior Duration specifically includes,
Data processing unit counts the N days use water durations in the water period before current time, and prediction is used next time Water uses water duration.
The calculation of arithmetic mean number is used with the calculating of water duration next time, specific as follows:
The water data of user establishes water applying model X before data processing unit analysis current time, according to water applying model X Predict the use water period t next time after current timea-tb
Data processing unit transfers current N days with before water with ta-tbInterior actual used water duration Si(1≤i≤N, i are Positive integer), the predicted value s=(S with water duration for using water next time is calculated1+S2+……Si+……SN)/N。
Further, the described water heater prediction user with the method for water behavior further include the amendment to water applying model X and Optimization,
After actual used water next time, data processing unit obtains actual used water data, according to actual used water data correction Water applying model X,
And/or next time after actual used water, actual used water data are passed into storage element and update water data library, data Processing unit analyzes updated water data library, optimizes water applying model X.
Specifically, after actual used water next time, actual storage is passed to water time point and with water duration for described Memory cell updates water data library, and data processing unit reanalyses updated water data library, carries out to former water applying model X Amendment, fitting, the new water applying model after being optimized.
Have the defects that algorithm is fixed with the method for water behavior currently, calculating water heater prediction user, is only capable of according to reality Habit modifies parameter value therein, cannot automatic correction algorithm model, and method of the invention passes through in actual used water next time Afterwards, water data is imported into update of the water data library realization to water data library, data processing unit analyzes updated use Water database, further fitting amendment, realizes the optimization to water applying model X, realizes self-optimization and amendment, more intelligently.
As shown in Figure 1, a kind of water heater predicts user's method of water behavior, include the following steps:
Whole water data of user establish water applying model X before S1 data processing unit analysis current time, according to Water model X predicts the use water period next time after current time;
S2 count current time before N days at the use water time point in the water period and with water duration;
S3 with water time point and used water duration according to statistics obtain first N days, predicted to use water with the specific of water next time Time point and with water duration;
For S4 next time after actual used water, data processing unit utilizes actual used water data correction water applying model X.
Embodiment two
As shown in Fig. 2, the present embodiment is the concrete scheme to embodiment one, a kind of water heater prediction user's water behavior Method, comprising the following steps:
Whole water data of user establish water applying model X, X=α A+ β B+ before data processing unit analysis current time λ c, according to water applying model X predict current time after next time be t with the water perioda-tb
Data processing unit presets weight accounting W corresponding with N days every day before current timei(1≤i≤N, i For positive integer);
Water period t is used described within N days before counting current timea-tbInterior is specific with water time point tiWith with water duration Si (1≤i≤N, i are positive integer), N days every day uses water time point t before calculatingiWith taDifference △ ti=ti-ta, in turn Calculate water period t next timea-tbThe interior specific predicted value t=t with water time pointa+(△t1*W1+△t2*W2……+ △ti *Wi),
Calculate the predicted value s=(S with water duration for using water next time1+S2+……Si+……SN)/N,
After actual used water next time, this actual water data is passed into storage element and updates water data library, Data processing unit analyzes updated water data library, is modified, is fitted to former water applying model X, what is optimized uses water Model X '.
For example, if current time is 9:00 on July 8.
A kind of method of water heater prediction user's water behavior, comprising the following steps:
S1 water heater preset current time before the 7th day weight accounting, and from-the 1 day the 7th day weight accounting according to Secondary is 5%, 8%, 10%, 12%, 15%, 20%, 30%;
Whole water data of user establish water applying model X before S2 data processing unit analysis current time, according to Water model X predicts the use water period 10:00-12:00 next time after current time;
S3 and 7 days (1-July 7 July) before counting current time are using water in water period 10:00-12:00 Data are as follows:
The water data on July 1: water time point 10:01 is used, with water duration 22min;The water data on July 2: water is used Time point 10:20, with water duration 18min;The water data on July 3: water time point 10:16 is used, with water duration 24min;July Water data on the 4th: water time point 10:35 is used, with water duration 15min;The water data on July 5: using water time point 10:27, With water duration 31min;The water data on July 6: water time point 10:38 is used, with water duration 22min;July 7 used water number According to: water time point 10:40 is used, with water duration 22min.
S4 calculates the difference △ t1=10:40-10:00=40min, the difference △ t2=10:38- on July 6 on July 7 10:00=38min so analogizes, and calculates to July 1, difference △ t7=10:01-10:00=1min, then calculate predicted value t =10:00+ (40*30%+38*20%+ ...+1*5%) min=10h31min, that as predicts uses the specific of water next time It is 10:31 with the water time;
S5, which is calculated, uses water duration s=(22+18+24+15+31+22+19)/7=22min, and that as predicts uses water next time It is specific use water duration;
S6 when July 8 user after 10:00-12:00 actual used water, by actual used water data import water data library, number New database is analyzed according to processing unit, if actual used water data and predicted value are just the same, water applying model X is not Become, if there is deviation, then regenerating water applying model is that A. water applying model is B and water applying model is C, preceding 3 days data It changes, so that α, β and λ of fitting is generated variation, form new water applying model X ', carried out later with water applying model X ' subsequent Predict water period.The correcting mode realizes the self-recision of water heater, more intelligently.
Embodiment three:
The present embodiment is to use the water heater that user's method of water behavior is predicted described in embodiment one and embodiment two, Including data processing unit and storage unit, storage element stores the water data of user institute having time, data processing unit root Water applying model X is established according to the water data for the user institute having time saved in storage element, next time according to water applying model X prediction With the water period.
Further, the storage element is arranged on storage server beyond the clouds, stores user's on cloud server All water data, processing unit establish water applying model X with modeling tool, when using water next time according to water applying model X prediction Section.
Alternatively, storage element is locally-stored unit installed on household appliances.
Currently, for user's prediction of water behavior calculated using the controller of machine itself, it is controlled The limitation of device ROM and memory, capacity processed, the data (such as 21 days, 49 days) being only capable of in analysis a period of time realize algorithm Also by capacity limit.It realizes data storage and processing capacity of the invention, preferably uses cloud storage server, be based on cloud It holds big data to realize forecast function, is not limited by the data volume of historical data, storage and calculation function are more powerful.
Further, the water heater further includes detection unit, and the detection unit is for detecting water flow, according to water flow Magnitude acquisition user's passes to storage element with water time point and with water duration.
Wherein, water heater obtains water time point and the method with water duration used, and detection unit detects the water flow in water heater Amount, when detection unit detects that water flow value is greater than 0, then water is flowing, which is to start to count with water sart point in time When, when detection unit detects water flow value≤0, then static with water, which is to terminate meter with water dwell time point When, data processing unit is according to the difference both with water sart point in time and with water dwell time point calculating water duration, that is, calculated Value.
Example IV
A kind of intelligence of water heater exempts from method of controlling operation thereof, and data processing unit analyzes the history of user before current time Water data predicts specific use water time point and/or the water consumption for using water next time after current time, uses water according to specific Time point and/or water consumption control water heater select different functional modes.
There are many functional mode, current water heaters to generally use user and independently select heating mode, benefit from for water heater The influence of family estimation error (time estimation error and heating temperature estimation error), it is understood that there may be the water-use model of selection is heated Fast or heating time is too early, and causing the hot water being heated, temperature is too low when in use, is not suitable for use or user The heating mode heating speed of selection is excessively slow, has arrived and has used water time point, water does not heat completion also but, or specifically uses water next time Water heater was persistently opened and did not executed heating but farther out compared with current time time point, and electricity is caused to expend.Therefore, by prediction The judgement with water time point and/or water consumption, automatically select different functional modes, realize intelligent control, it is defeated without user Enter selection or selection instruction is issued by APP, it is more convenient to use, it is more energy saving.
Wherein, the prediction is next time method described in one-embodiment of embodiment two with the method at water time point.
Further, according to specifically with water time point control water heater select different functional modes, including
The functional mode includes shutdown mode, and data processing unit uses water time point and current point in time according to specific, Whether control water heater selects shutdown mode.
It is more accurate due to predicting after water heater, which predicts, specifically uses water time point next time, can directly it judge Out next time use water time gap current time interval, if next time with water it is specific with water time gap current time compared with It is long, illustrate to heat even if by water, can also cool off when using next time, power consumption in vain then can first shut down, when the time is suitable Water heater is restarted, if the time is closer to, the heating mode being consistent therewith may be selected.By it is first determined whether closing Water heater is closed, keeps entire control method more intelligent, energy saving.
Further, according to water time point and current time is specifically used, whether control water heater selects data processing unit Shutdown mode, including
Data processing unit calculates the specific time difference △ m with water time point and current time for using water next time, judgement The size relation of △ m and preset value M control water heater selection shutdown mode, close water heater if △ m > preset value M; If △ m≤preset value M, water heater selection heating mode is controlled, the water in water heater is heated.
Water heater presets a preset value M, if specifically using the time difference △ m≤preset value M at water time point and current time, It then indicates next time shorter apart from current time with water time point, suitable heating mode can be directly selected and heated, it is full Foot reaches the water consumption for using water time point, if △ m > preset value M, shows next time with water time point apart from current time It is longer, water heater can be first closed, is then turned on water heater when time gap next time is closer with the water time, with energy saving, because This control water heater selects shutdown mode, closes water heater.
Best, preset value M=24 hours.
Further, a kind of intelligence of water heater exempts from method of controlling operation thereof, and the functional mode further includes to heat Multiple heating modes that water is heated in hydrophone, data processing unit is according to inflow temperature, the volume of water heater and prediction Water consumption, control water heater select different heating modes.
If △ m≤preset value M, indicates that user needs to use water in preset value M hours, then need to heat in water. It is influenced by factors such as the water consumption of user, the volume of water heater and inflow temperatures, the heating mode that water heater needs to be implemented is not Together, e.g., when water consumption is big, water heater volume is small and inflow temperature is low, required heating mode is then relatively strong, can meet need It asks, conversely, then selecting weaker heating mode.Herein, stronger heating mode can refer to the faster heating mode of heating speed, The heating and thermal insulation mode that the heating of weaker heating mode such as interval can be met the requirements.
Further, data processing unit is calculated according to the volume L of the water consumption Q of prediction, inflow temperature T1 and water heater The default corresponding target temperature T of water consumption Q controls water heater according to target temperature T and selects heating mode.
When predicting that water consumption Q is larger, limited by water heater volume and inflow temperature, it is then right to meet prediction water consumption Q The target temperature T answered can be higher, and the heating mode needed is stronger, similarly, when predicting that water consumption Q is less, then less with this Predict that the corresponding target temperature T of water consumption Q can be lower, common heating and thermal insulation mode can be realized, and therefore, pass through prediction Water consumption Q, inflow temperature T1Target temperature T corresponding with prediction water consumption Q is calculated with the volume L of water heater, to judge to select Which kind of heating mode is more accurate, and intelligence degree is higher, selects without user, and target temperature T can be understood as having heated Cheng Hou, mean temperature in gallbladder.
Further, according to prediction water consumption Q, inflow temperature T1With the volume L of water heater, calculate and prediction water consumption Q Corresponding target temperature T,
Wherein: T0For with coolant-temperature gage, unit: DEG C
T1For inflow temperature, unit: DEG C;
Q is prediction water consumption, unit: L;
L is water heater volume, unit: L;
Target temperature T and each temperature range are compared, temperature range corresponding with target temperature T-phase, control are obtained Water heater selection heating mode corresponding with the temperature range obtained.Water heater is preset multiple heating modes and is heated with every kind The corresponding temperature range of mode controls water heater and selects different heating modes according to target temperature T and each temperature range;
Preferably, described that the heat that water temperature value hot water device convenient when user uses comes out is typically chosen in coolant-temperature gage Water with without the temperature after the cold water mix of water heater, that is, when bathing at shower be discharged temperature, general T0Selection It is 40 DEG C.
Each heating mode has corresponding temperature range, by the temperature of target temperature T and every kind of heating mode Degree range is compared, and falls in which temperature range, then which kind of heating mode selected.
Wherein, the heating mode includes medium temperature holding mode, half gallbladder mode, full gallbladder mode, increase-volume mode.
Further, the history water data of user predicts water consumption, packet before data processing unit analysis current time It includes:
Data processing unit analyzes the history water data of user before current time, predicts current time later next time Water duration is used with water, according to water flow velocity and the preset water consumption Q described in water duration prediction.
Specifically, as shown in figure 4, a kind of intelligence of water heater exempts from method of controlling operation thereof, comprising the following steps:
Data processing unit analyzes the history water data of user before current time, next after prediction current time It is secondary specific with water time point and with water duration;
The time difference △ m for specifically using water time point and current time is calculated, time difference △ m is compared with preset value, If △ m > preset value M, water heater selection shutdown mode is controlled, water heater is closed,
If △ m≤preset value M, according to water flow velocity and with water duration calculation predict water consumption Q,
According to the volume L of the water consumption Q of prediction, inflow temperature T1 and water heater, calculate corresponding with the water consumption Q of prediction Target temperature T,
Water heater presets multiple heating modes and temperature range corresponding with every kind of heating mode, by target temperature T and Each temperature range is compared, and obtains temperature range corresponding with target temperature T-phase, the temperature of control water heater selection and acquisition The corresponding heating mode of range.
Wherein, the prediction is the method for one-embodiment of embodiment two with the method for water duration.
For example, as shown in figure 5, a kind of intelligence of water heater exempts from method of controlling operation thereof, include the following steps,
Water heater presets medium temperature holding mode, and temperature range corresponding with medium temperature holding mode is (0-40 DEG C);
Half gallbladder mode, temperature range corresponding with half gallbladder mode be [40 DEG C -50 DEG C);
Full gallbladder mode, temperature range corresponding with full gallbladder mode are [50 DEG C -75 DEG C];
Increase-volume mode, temperature range corresponding with increase-volume mode are (75 DEG C -+∞);
Data processing unit analyzes the history water data of user before current time, when current according to water applying model prediction Between after next time use the water period, and count the N days water data in the water period before current time, prediction is next It is secondary in the water period user it is specific with water time point and with water duration;
Data processing unit according to the specific time difference △ m both calculated with water time point and current time, judge △ m with The size relation of preset value M controls water heater selection shutdown mode if △ m > 12h;
If △ m≤12h, and water consumption Q is calculated according to water duration and with water flow velocity, according to water consumption Q, water inlet temperature The volume L for spending T1 and water heater calculates temperature T,
If 40 DEG C of target temperature T <, water heater selection medium temperature holding mode is controlled;
If 50 DEG C of 40 DEG C≤target temperature T <, controls water heater and select half gallbladder mode, the automatic setting under the mode Temperature is 1.5*T;
If 50 DEG C≤target temperature T≤75 DEG C, controls water heater and select full gallbladder mode, the automatic setting under the mode Temperature is T;
If 75 DEG C of target temperature T >, water heater selection increase-volume mode is controlled.
The control method can be realized water heater to be automatically closed, energy saving, and can also automatically select it is different plus Heat pattern, it is more intelligent.
Embodiment five
As shown in fig. 6, the present embodiment is to further limit to one-example IV of embodiment, a kind of control of water heater Method, comprising the following steps:
Whole water data of user establish water applying model X before data processing unit analysis current time, according to water Model X predicts the use water period next time after current time;
N days before counting current time are at the use water time point in the water period and with water duration;
It uses the specific of water to use water time point next time using calculated with weighted average method, is calculated next time using arithmetic mean method Water duration is used with water;
The specific time difference △ m with water time point and current time for using water next time is calculated, by time difference △ m and is preset Value is compared, if △ m > preset value M, controls water heater selection shutdown mode, water heater is closed,
If △ m≤preset value M, according to water flow velocity and with water duration calculation predict water consumption Q,
According to the volume L of the water consumption Q of prediction, inflow temperature T1 and water heater, calculate corresponding with the water consumption Q of prediction Target temperature T,
Water heater presets multiple heating modes, the corresponding temperature range of each heating mode, by target temperature T and respectively Temperature range is compared, and obtains temperature range corresponding with target temperature T-phase, the temperature model of control water heater selection and acquisition Enclose corresponding heating mode;
Next time after actual used water, data processing unit utilizes actual used water data correction water applying model X.
Specifically, a kind of control method of water heater, comprising the following steps:
Whole water data of user establish water applying model X, X=α A+ β B+ before data processing unit analysis current time λ c, according to water applying model X predict current time after next time be ta-tb with the water period;
Data processing unit presets weight accounting W corresponding with N days every day before current timei(1≤i≤N, i For positive integer);
The N days water period t before counting current timea-tbInterior uses water time point tiWith with water duration Si (1≤i ≤ N, i are positive integer), N days every day uses water time point t before calculatingiWith taDifference △ ti=ti-ta, and then under calculating Water period ta-tbThe interior specific predicted value t=t with water time pointa+(△t1*W1+△t2*W2……+△ti* Wi),
Calculate the predicted value s=(S with water duration for using water next time1+S2+……Si+……SN)/N,
Data processing unit judges △ m according to the specific time difference △ m for calculating the two with water time point t and current time Water heater selection shutdown mode is controlled if △ m > preset value M with the size relation of preset value M;
If △ m≤preset value M, and according to water duration s and with water flow velocity calculate water consumption Q, according to water consumption Q, The volume L of inflow temperature T1 and water heater calculates temperature T,
If 40 DEG C of target temperature T <, water heater selection medium temperature holding mode is controlled;
If 50 DEG C of 40 DEG C≤target temperature T <, controls water heater and select half gallbladder mode, the automatic setting under the mode Temperature is 1.5*T;
If 50 DEG C≤target temperature T≤75 DEG C, controls water heater and select full gallbladder mode, the automatic setting under the mode Temperature is T;
If 75 DEG C of target temperature T >, water heater selection increase-volume mode is controlled;
After actual used water next time, this actual water data is passed into storage element and updates water data library, Data processing unit analyzes updated water data library, is modified, is fitted to former water applying model X, what is optimized uses water Model X '.
The above is only presently preferred embodiments of the present invention, is not intended to limit the present invention in any form, though So the present invention has been disclosed as a preferred embodiment, and however, it is not intended to limit the invention, any technology people for being familiar with this patent Member without departing from the scope of the present invention, when the technology contents using above-mentioned prompt make it is a little change or be modified to The equivalent embodiment of equivalent variations, but anything that does not depart from the technical scheme of the invention content, it is right according to the technical essence of the invention Any simple modification, equivalent change and modification made by above embodiments, in the range of still falling within the present invention program.

Claims (10)

1. a kind of intelligence of water heater exempts from method of controlling operation thereof, which is characterized in that data processing unit is analyzed before current time The history water data of user predicts specific use water time point and/or the water consumption for using water next time after current time, root Different functional modes is selected according to specifically water heater is controlled with water time point and/or water consumption.
2. a kind of intelligence of water heater according to claim 1 exempts from method of controlling operation thereof, which is characterized in that used according to specific Water time point control water heater selects different functional modes, including
The functional mode includes shutdown mode, and for data processing unit according to water time point and current time is specifically used, control is hot Whether hydrophone selects shutdown mode.
3. a kind of intelligence of water heater according to claim 1 or 2 exempts from method of controlling operation thereof, which is characterized in that at data Unit is managed according to using the specific of water to use water time point and current time next time, whether control water heater selects shutdown mode, wrap It includes
Data processing unit calculate next time use water the specific time difference △ m with water time point and current time, judge △ m with The size relation of preset value M controls water heater selection shutdown mode if △ m > preset value M;If △ m≤preset value M, Water heater selection heating mode is then controlled,
Preferably, preset value M=24 hours.
4. a kind of intelligence of water heater according to claim 1 to 3 exempts from method of controlling operation thereof, which is characterized in that described Functional mode further includes the multiple heating modes heated to water in water heater, and data processing unit is according to inflow temperature, heat The volume of hydrophone and the water consumption of prediction, control water heater select different heating modes;
Preferably, the heating mode include one of medium temperature holding mode, half gallbladder mode, full gallbladder mode and increase-volume mode or It is several.
5. a kind of intelligence of water heater according to claim 4 exempts from method of controlling operation thereof, which is characterized in that data processing list Water consumption of the member according to inflow temperature, the volume of water heater and prediction, control water heater selection heating mode, including
Data processing unit calculates and default water consumption according to the volume L of the water consumption Q of prediction, inflow temperature T1 and water heater Corresponding target temperature T controls water heater according to target temperature T and selects heating mode;
Preferably, water heater presets multiple heating modes and temperature range corresponding with each heating mode, according to target Temperature T and each temperature range, control water heater select different heating modes.
6. a kind of intelligence of water heater according to claim 5 exempts from method of controlling operation thereof, which is characterized in that according to prediction Water consumption Q, inflow temperature T1With the volume L of water heater, target temperature T corresponding with the water consumption of prediction is calculated,
Wherein: T0For with coolant-temperature gage, unit: DEG C;
T1For inflow temperature, unit: DEG C;
Q is prediction water consumption, unit: L;
L is water heater volume, unit: L;
Target temperature T and each temperature range are compared, temperature range corresponding with target temperature T-phase is obtained, controls hot water Device selection heating mode corresponding with the temperature range obtained.
7. a kind of intelligence of water heater according to claim 6 exempts from method of controlling operation thereof, which is characterized in that described by mesh Mark temperature T and each temperature range are compared, and control water heater selects heating mode, including
Water heater presets medium temperature holding mode, and temperature range corresponding with medium temperature holding mode is (0-40 DEG C);
Half gallbladder mode, temperature range corresponding with half gallbladder mode be [40 DEG C -50 DEG C);
Full gallbladder mode, temperature range corresponding with full gallbladder mode are [50 DEG C -75 DEG C];
Increase-volume mode, temperature range corresponding with increase-volume mode are (75 DEG C -+∞);
If 40 DEG C of target temperature T <, water heater selection medium temperature holding mode is controlled;
If 50 DEG C of 40 DEG C≤target temperature T <, control water heater and select half gallbladder mode, setting temperature automatically is set under the mode Degree is 1.5*T;
If 50 DEG C≤target temperature T≤75 DEG C, controls water heater and select full gallbladder mode, the automatic setting temperature under the mode For T;
If 75 DEG C of target temperature T >, water heater selection increase-volume mode is controlled.
8. a kind of intelligence of -7 any water heaters exempts from method of controlling operation thereof according to claim 1, which is characterized in that data Processing unit analyzes the history water data prediction water consumption of user before current time, comprising:
Data processing unit analyzes the history water data of user before current time, uses water next time after prediction current time Use water duration, according to water flow velocity and the water consumption Q described in water duration prediction;
Preferably, for data processing unit according to water time point and current time is specifically used, whether control water heater selects shutdown mould After formula, if not selecting shutdown mode, water consumption is calculated.
9. a kind of intelligence of -8 any water heaters exempts from method of controlling operation thereof according to claim 1,
Data processing unit analyze current time before user history water data, according to water applying model predict current time it Afterwards next time use the water period, and count before current time N days this with the water data in the water period, predict to use water next time User's is specific with water time point and with water duration in period;
Data processing unit judges △ m and presets according to the time difference △ m for specifically calculating the two with water time point and current time The size relation of value M controls water heater selection shutdown mode if △ m > preset value M;
If △ m≤preset value M, water consumption Q is calculated according to water duration and with water flow velocity, according to water consumption Q, inflow temperature T1With the volume L of water heater, according to following formula
Calculate target temperature T corresponding with the water consumption Q of prediction;
If 40 DEG C of target temperature T <, water heater selection medium temperature holding mode is controlled,
If 50 DEG C of 40 DEG C≤target temperature T <, controls water heater and select half gallbladder mode, the automatic setting temperature under the mode For 1.5*T,
If 50 DEG C≤target temperature T≤75 DEG C, controls water heater and select full gallbladder mode, the automatic setting temperature under the mode For T,
If 75 DEG C of target temperature T >, water heater selection increase-volume mode is controlled.
10. the water heater that a kind of intelligence using as described in claim 1-9 is any exempts from method of controlling operation thereof.
CN201710602534.5A 2017-07-21 2017-07-21 Intelligent operation-free control method of water heater and water heater Active CN109425117B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710602534.5A CN109425117B (en) 2017-07-21 2017-07-21 Intelligent operation-free control method of water heater and water heater

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710602534.5A CN109425117B (en) 2017-07-21 2017-07-21 Intelligent operation-free control method of water heater and water heater

Publications (2)

Publication Number Publication Date
CN109425117A true CN109425117A (en) 2019-03-05
CN109425117B CN109425117B (en) 2022-01-18

Family

ID=65498752

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710602534.5A Active CN109425117B (en) 2017-07-21 2017-07-21 Intelligent operation-free control method of water heater and water heater

Country Status (1)

Country Link
CN (1) CN109425117B (en)

Cited By (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110398069A (en) * 2019-07-05 2019-11-01 芜湖美的厨卫电器制造有限公司 Water heater and its control method and computer readable storage medium
CN110398070A (en) * 2019-07-05 2019-11-01 芜湖美的厨卫电器制造有限公司 Water heater and its control method and computer readable storage medium
CN110598336A (en) * 2019-09-17 2019-12-20 美的集团股份有限公司 Water consumption prediction method and device for water heater, water heater and electronic equipment
CN110822724A (en) * 2019-12-03 2020-02-21 美的集团股份有限公司 Water consumption prediction method and device for water heater, water heater and electronic equipment
CN110887240A (en) * 2019-12-03 2020-03-17 美的集团股份有限公司 Water heater temperature control method and device, water heater and electronic equipment
CN112013547A (en) * 2019-05-31 2020-12-01 青岛经济技术开发区海尔热水器有限公司 Control method of water heater and water heater
CN112524806A (en) * 2019-09-17 2021-03-19 美的集团股份有限公司 Water heater control method and device, water heater and electronic equipment
CN112524817A (en) * 2020-12-10 2021-03-19 芜湖美的厨卫电器制造有限公司 Method and device for determining water consumption, water heater and storage medium
CN112781245A (en) * 2020-09-23 2021-05-11 青岛经济技术开发区海尔热水器有限公司 Shutdown control method and device, electronic equipment and storage medium
CN112797633A (en) * 2020-12-22 2021-05-14 青岛经济技术开发区海尔热水器有限公司 Method for determining set temperature of water heater and water heater
CN113341816A (en) * 2021-06-11 2021-09-03 青岛港国际股份有限公司 Automatic dock AGV energy-saving control method and system
CN114963553A (en) * 2021-08-03 2022-08-30 青岛经济技术开发区海尔热水器有限公司 Water heater and control method and device thereof
CN114963552A (en) * 2021-06-30 2022-08-30 青岛经济技术开发区海尔热水器有限公司 Water heater starting control method and device, electronic equipment and storage medium
CN114992874A (en) * 2021-06-30 2022-09-02 青岛经济技术开发区海尔热水器有限公司 Hot water reserve control method, hot water reserve control device, electronic device, and storage medium
CN116428635A (en) * 2023-06-08 2023-07-14 艾肯(江苏)工业技术有限公司 Hot water supply data acquisition and transmission system and method based on environmental information
WO2024051130A1 (en) * 2022-09-08 2024-03-14 武汉联影医疗科技有限公司 Energy-saving control method and system for medical device
CN114992874B (en) * 2021-06-30 2024-05-03 青岛经济技术开发区海尔热水器有限公司 Hot water reserve control method, device, electronic equipment and storage medium

Citations (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE29814510U1 (en) * 1998-08-14 1998-11-19 Kasebaum Roman Device for detecting the malfunction of heating, heating burner or boiler systems
CN200993461Y (en) * 2006-12-27 2007-12-19 燕山大学 Safety intelligent visual variable-capacity electric water heater
US20110030753A1 (en) * 2009-08-05 2011-02-10 Weaver Samuel P Control of power generation system having thermal energy and thermodynamic engine components
CN203310101U (en) * 2013-01-30 2013-11-27 美的集团股份有限公司 Electric water heater
CN103968552A (en) * 2013-01-30 2014-08-06 美的集团股份有限公司 Electric water heater and control method thereof
CN104110878A (en) * 2013-12-23 2014-10-22 芜湖美的厨卫电器制造有限公司 Electric water heater with ECO (ecology, conservation and optimization) function mode and controlling method thereof
CN104930714A (en) * 2015-06-11 2015-09-23 Tcl空调器(中山)有限公司 Heat pump type water heater and heating control method thereof
US20150276265A1 (en) * 2014-03-31 2015-10-01 Shahram Davari Intelligent water heater controller
CN105135686A (en) * 2015-08-31 2015-12-09 小米科技有限责任公司 Intelligent water heater controlling method and device
CN105371498A (en) * 2015-10-30 2016-03-02 株洲麦格米特电气有限责任公司 Automatic control method for air energy water heater
CN105605791A (en) * 2016-01-22 2016-05-25 广州松下空调器有限公司 Control method for pre-operation of water heater
CN105865019A (en) * 2016-04-06 2016-08-17 珠海格力电器股份有限公司 Method and device for achieving capacity increasing of air-source water heater.
CN106123352A (en) * 2016-07-01 2016-11-16 重庆蓝岸通讯技术有限公司 The intelligent adjusting method of water heater and intelligent water heater
CN106123348A (en) * 2016-06-14 2016-11-16 珠海格力电器股份有限公司 A kind of control method for water heater, device and water heater
CN106500341A (en) * 2016-10-10 2017-03-15 深圳Tcl智能家庭科技有限公司 A kind of control method of intelligent water heater and system
CN106642727A (en) * 2016-12-29 2017-05-10 海尔优家智能科技(北京)有限公司 Preheating method and device for electric water heater
CN106814710A (en) * 2015-11-30 2017-06-09 阿里巴巴集团控股有限公司 A kind of control method and device to intelligent home device
CN106839468A (en) * 2017-04-14 2017-06-13 广州机智云物联网科技有限公司 A kind of solar water heater runoff investigation method and system
EP3343128A1 (en) * 2016-12-27 2018-07-04 Vito NV Profiling of hot water use from electrical thermal storage vessels
CN112594937A (en) * 2020-12-16 2021-04-02 珠海格力电器股份有限公司 Control method and device of water heater, electronic equipment and storage medium

Patent Citations (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE29814510U1 (en) * 1998-08-14 1998-11-19 Kasebaum Roman Device for detecting the malfunction of heating, heating burner or boiler systems
CN200993461Y (en) * 2006-12-27 2007-12-19 燕山大学 Safety intelligent visual variable-capacity electric water heater
US20110030753A1 (en) * 2009-08-05 2011-02-10 Weaver Samuel P Control of power generation system having thermal energy and thermodynamic engine components
CN203310101U (en) * 2013-01-30 2013-11-27 美的集团股份有限公司 Electric water heater
CN103968552A (en) * 2013-01-30 2014-08-06 美的集团股份有限公司 Electric water heater and control method thereof
CN104110878A (en) * 2013-12-23 2014-10-22 芜湖美的厨卫电器制造有限公司 Electric water heater with ECO (ecology, conservation and optimization) function mode and controlling method thereof
US20150276265A1 (en) * 2014-03-31 2015-10-01 Shahram Davari Intelligent water heater controller
CN104930714A (en) * 2015-06-11 2015-09-23 Tcl空调器(中山)有限公司 Heat pump type water heater and heating control method thereof
CN105135686A (en) * 2015-08-31 2015-12-09 小米科技有限责任公司 Intelligent water heater controlling method and device
CN105371498A (en) * 2015-10-30 2016-03-02 株洲麦格米特电气有限责任公司 Automatic control method for air energy water heater
CN106814710A (en) * 2015-11-30 2017-06-09 阿里巴巴集团控股有限公司 A kind of control method and device to intelligent home device
CN105605791A (en) * 2016-01-22 2016-05-25 广州松下空调器有限公司 Control method for pre-operation of water heater
CN105865019A (en) * 2016-04-06 2016-08-17 珠海格力电器股份有限公司 Method and device for achieving capacity increasing of air-source water heater.
CN106123348A (en) * 2016-06-14 2016-11-16 珠海格力电器股份有限公司 A kind of control method for water heater, device and water heater
CN106123352A (en) * 2016-07-01 2016-11-16 重庆蓝岸通讯技术有限公司 The intelligent adjusting method of water heater and intelligent water heater
CN106500341A (en) * 2016-10-10 2017-03-15 深圳Tcl智能家庭科技有限公司 A kind of control method of intelligent water heater and system
EP3343128A1 (en) * 2016-12-27 2018-07-04 Vito NV Profiling of hot water use from electrical thermal storage vessels
CN106642727A (en) * 2016-12-29 2017-05-10 海尔优家智能科技(北京)有限公司 Preheating method and device for electric water heater
CN106839468A (en) * 2017-04-14 2017-06-13 广州机智云物联网科技有限公司 A kind of solar water heater runoff investigation method and system
CN112594937A (en) * 2020-12-16 2021-04-02 珠海格力电器股份有限公司 Control method and device of water heater, electronic equipment and storage medium

Cited By (26)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112013547A (en) * 2019-05-31 2020-12-01 青岛经济技术开发区海尔热水器有限公司 Control method of water heater and water heater
CN110398070A (en) * 2019-07-05 2019-11-01 芜湖美的厨卫电器制造有限公司 Water heater and its control method and computer readable storage medium
CN110398070B (en) * 2019-07-05 2022-03-22 芜湖美的厨卫电器制造有限公司 Water heater, control method thereof and computer-readable storage medium
CN110398069B (en) * 2019-07-05 2022-05-20 芜湖美的厨卫电器制造有限公司 Water heater, control method thereof and computer-readable storage medium
WO2021004035A1 (en) * 2019-07-05 2021-01-14 芜湖美的厨卫电器制造有限公司 Water heater and control method thereof, and computer readable storage medium
CN110398069A (en) * 2019-07-05 2019-11-01 芜湖美的厨卫电器制造有限公司 Water heater and its control method and computer readable storage medium
CN110598336B (en) * 2019-09-17 2021-08-31 美的集团股份有限公司 Water consumption prediction method and device for water heater, water heater and electronic equipment
CN110598336A (en) * 2019-09-17 2019-12-20 美的集团股份有限公司 Water consumption prediction method and device for water heater, water heater and electronic equipment
CN112524806A (en) * 2019-09-17 2021-03-19 美的集团股份有限公司 Water heater control method and device, water heater and electronic equipment
CN112524806B (en) * 2019-09-17 2021-12-17 美的集团股份有限公司 Water heater control method and device, water heater and electronic equipment
CN110887240A (en) * 2019-12-03 2020-03-17 美的集团股份有限公司 Water heater temperature control method and device, water heater and electronic equipment
CN110822724A (en) * 2019-12-03 2020-02-21 美的集团股份有限公司 Water consumption prediction method and device for water heater, water heater and electronic equipment
CN112781245A (en) * 2020-09-23 2021-05-11 青岛经济技术开发区海尔热水器有限公司 Shutdown control method and device, electronic equipment and storage medium
CN112781245B (en) * 2020-09-23 2022-04-22 青岛经济技术开发区海尔热水器有限公司 Shutdown control method and device, electronic equipment and storage medium
CN112524817A (en) * 2020-12-10 2021-03-19 芜湖美的厨卫电器制造有限公司 Method and device for determining water consumption, water heater and storage medium
CN112524817B (en) * 2020-12-10 2022-03-25 芜湖美的厨卫电器制造有限公司 Method and device for determining water consumption, water heater and storage medium
CN112797633A (en) * 2020-12-22 2021-05-14 青岛经济技术开发区海尔热水器有限公司 Method for determining set temperature of water heater and water heater
CN113341816A (en) * 2021-06-11 2021-09-03 青岛港国际股份有限公司 Automatic dock AGV energy-saving control method and system
CN114963552A (en) * 2021-06-30 2022-08-30 青岛经济技术开发区海尔热水器有限公司 Water heater starting control method and device, electronic equipment and storage medium
CN114992874A (en) * 2021-06-30 2022-09-02 青岛经济技术开发区海尔热水器有限公司 Hot water reserve control method, hot water reserve control device, electronic device, and storage medium
CN114963552B (en) * 2021-06-30 2023-12-12 青岛经济技术开发区海尔热水器有限公司 Water heater starting control method and device, electronic equipment and storage medium
CN114992874B (en) * 2021-06-30 2024-05-03 青岛经济技术开发区海尔热水器有限公司 Hot water reserve control method, device, electronic equipment and storage medium
CN114963553A (en) * 2021-08-03 2022-08-30 青岛经济技术开发区海尔热水器有限公司 Water heater and control method and device thereof
WO2024051130A1 (en) * 2022-09-08 2024-03-14 武汉联影医疗科技有限公司 Energy-saving control method and system for medical device
CN116428635A (en) * 2023-06-08 2023-07-14 艾肯(江苏)工业技术有限公司 Hot water supply data acquisition and transmission system and method based on environmental information
CN116428635B (en) * 2023-06-08 2023-08-22 艾肯(江苏)工业技术有限公司 Hot water supply data acquisition and transmission system and method based on environmental information

Also Published As

Publication number Publication date
CN109425117B (en) 2022-01-18

Similar Documents

Publication Publication Date Title
CN109425117A (en) A kind of intelligence of water heater exempts from method of controlling operation thereof and water heater
CN109282499A (en) A kind of method and water heater of water heater prediction user&#39;s water behavior
De Somer et al. Using reinforcement learning for demand response of domestic hot water buffers: A real-life demonstration
US9874885B2 (en) System and method for optimal load and source scheduling in context aware homes
US20170206615A1 (en) Optimizing and controlling the energy consumption of a building
Huang et al. Simulation-based performance evaluation of model predictive control for building energy systems
Kara et al. Quantifying flexibility of residential thermostatically controlled loads for demand response: a data-driven approach
CN106225246A (en) Air-source water heater and method for heating and controlling thereof and device
CN104422137B (en) Water heater preengages heat-production control method and system
CN106842914B (en) Temperature control energy-saving processing method, device and system
CN106813293A (en) Central heating system whole-network heat balance control method
CN108709287B (en) Air conditioning system cold load prediction method and water chilling unit group control strategy
CN105091209B (en) A kind of control system and method based on Air-conditioning Load Prediction
AU2010333708A1 (en) HVAC control system and method
CN109827292A (en) Construction method, control method, the household electrical appliances of household electrical appliances adaptive power conservation Controlling model
CN103282841A (en) Building automation system
Nikovski et al. A method for computing optimal set-point schedules for HVAC systems
CN107276069A (en) Approximate the polymerization modeling method and system of a kind of area power grid resident temperature control load
CN109948824A (en) A method of thermal substation thermic load is predicted using mode identification technology
Kontes et al. Intelligent BEMS design using detailed thermal simulation models and surrogate-based stochastic optimization
Ziras et al. A new method for handling lockout constraints on controlled TCL aggregations
CN109341012B (en) Air conditioner and control method and device thereof
McKee et al. Deep reinforcement learning for residential HVAC control with consideration of human occupancy
Ruelens et al. Residential demand response applications using batch reinforcement learning
CN105739308B (en) Power optimization control method and system applied to temperature control electric appliance

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant