CN104748286B - Air conditioner control method and system - Google Patents
Air conditioner control method and system Download PDFInfo
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- CN104748286B CN104748286B CN201310733662.5A CN201310733662A CN104748286B CN 104748286 B CN104748286 B CN 104748286B CN 201310733662 A CN201310733662 A CN 201310733662A CN 104748286 B CN104748286 B CN 104748286B
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- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000004378 air conditioning Methods 0.000 claims description 42
- 238000004458 analytical method Methods 0.000 claims description 38
- 238000012417 linear regression Methods 0.000 claims description 30
- 238000000605 extraction Methods 0.000 claims description 24
- 238000012545 processing Methods 0.000 claims description 18
- 230000010365 information processing Effects 0.000 claims description 15
- 230000008569 process Effects 0.000 claims description 15
- 238000004519 manufacturing process Methods 0.000 claims description 5
- 238000010224 classification analysis Methods 0.000 claims description 4
- 239000000284 extract Substances 0.000 claims description 2
- 230000003993 interaction Effects 0.000 abstract description 4
- 230000002457 bidirectional effect Effects 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 2
- 238000010438 heat treatment Methods 0.000 description 2
- 238000005057 refrigeration Methods 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
- 230000003442 weekly effect Effects 0.000 description 1
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Signal Processing (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention provides an air conditioner control method, which comprises the following steps: s1, extracting key information of schedule setting; s2, matching and predicting information according to the key information; and S3, feeding back the preset suggestion value of the key information to the user. The invention also relates to an air conditioner control system. According to the air conditioner control method and the system, the preset suggestion value of the key information is fed back to the user after the information matching and prediction are carried out on the key information set by the schedule, so that the bidirectional feedback control of the schedule setting of the central air conditioner is realized, and the accuracy of the schedule setting of the central air conditioner is improved. Moreover, the air conditioner control method and the air conditioner control system can complete automatic setting. Meanwhile, the air conditioner control system improves the man-machine interaction by arranging a display, a voice device and the like.
Description
Technical field
The present invention relates to air conditioner technical field, more particularly to a kind of air conditioning control method and system.
Background technology
Now, central air-conditioning is widely used in high building, megastore etc., but the energy consumption of central air-conditioning is very high.Though
The appropriate efficiency for improving central air-conditioning of right central air-conditioning centralized control technique, but since central controlled setting is improper,
It can cause a large amount of waste of energy.
The existing central controlled schedule setting major part of multi-connected machine is all the schedule pair by user according to oneself
Each interior machine such as is switched, freezed or is heated at the setting of functions.Schedule Setting pattern be user according to it is on and off duty weekly when
Between section, then mutually should to each interior machine timing switch and the setting of function or by adding user's designated date
It is switched and the setting of function.
However the setting of this schedule can not preferably for the variation of environment, user uncertainty and user is practical needs
It asks and is adjusted.
Invention content
In view of the present situation of the prior art, the purpose of the present invention is to provide a kind of air conditioning control method and system, the air-conditionings
Default recommended value is fed back into user after matching and prediction that control method and system pass through key message, improves central air-conditioning
The accuracy of schedule setting.
To achieve the above object, the present invention adopts the following technical scheme that：
A kind of air conditioning control method, includes the following steps：
S1, the key message of extraction schedule setting；
S2, according to the key message into the matching and prediction of row information；
S3, the default recommended value of the key message is fed back into user.
The step S1 further includes following steps in one of the embodiments,：
S11, judge whether to preserve past weather information；If so, enter step S2；If it is not, then connect internet
Weather site；
S12, judge whether that past weather information can be obtained from weather site；If so, enter step S2；If it is not,
Preset past weather information when then obtaining Centralized Controller manufacture.
The step S2 further includes following steps in one of the embodiments,：
S21, the parameter for obtaining the key message that user is set in the past carry out linear regression analysis after data classification；
S22, the parameter for obtaining past weather information carry out linear regression analysis after data classification；
S23, the parameter for obtaining following Weather information carry out linear regression analysis after data classification；
S24, linear regression model (LRM) is established according to the linear analysis result of the step S21 to the step S23, analyzes day
The influence for the parameter that gas factor sets schedule carries out data prediction.
In one of the embodiments, following steps are further included after the step S1：
S4, judge whether to start the automatic setting of schedule；If so, enter step S2 after obtaining the schedule setting period；If
It is no, then it is directly entered step S2.
In one of the embodiments, following steps are further included after the step S4：
S5, judge whether the specified progress schedule set-up date is festivals or holidays；If so, output prompt message；If it is not, then
Enter step S2.
The present invention also provides a kind of air-conditioner control system based on same inventive concept, including Centralized Controller, display
Device, control panel, voice device and air-conditioning internal machine, the display, the control panel, the voice device and the air-conditioning
Interior machine is electrically connected with the Centralized Controller；
The Centralized Controller includes information extraction modules, message processing module and information feedback module；
Described information extraction module is used to extract the key message of schedule setting, and the key message is the date, temperature, wet
Degree and wind speed；
Described information processing module is used for according to the key message into the matching and prediction of row information；
Described information feedback module is used to the default recommended value of the key message feeding back to user.
Described information extraction module further includes first information extraction unit in one of the embodiments, the second information carries
Take unit；
The first information extraction unit is used to judge whether to preserve past weather information；If so, at information
Manage module；If it is not, then connect the weather site of internet；
Second information extraction unit is used to judge whether that past weather information can be obtained from weather site；If
It is, then into message processing module；If it is not, preset past weather information when then obtaining Centralized Controller manufacture.
Described information processing module includes first information processing unit, the second information processing in one of the embodiments,
Unit, third information process unit and logic analysis unit；
The first information processing unit is used to obtain the parameter for the key message that user is set in the past, data classification
After carry out linear regression analysis；
Second information process unit is used to obtain the parameter of past weather information, and the laggard line of data classification returns
Return analysis；
The third information process unit is used to obtain the parameter of following Weather information, and the laggard line of data classification returns
Return analysis；
The logic analysis unit is used for according to the first information processing unit to the third information process unit
Linear analysis result establishes linear regression model (LRM), and the influence of parameter that analysis weather conditions set schedule carries out data prediction.
The first judgment module is further included in one of the embodiments, and first judgment module is used to judge whether to open
The automatic setting of dynamic schedule；If so, enter message processing module after obtaining the schedule setting period；If it is not, then it is directly entered letter
Cease processing module.
Further include the second judgment module in one of the embodiments, second judgment module for judge to specify into
Whether the row schedule set-up date is festivals or holidays；If so, output prompt message；If it is not, then enter message processing module.
The quantity of the air-conditioning internal machine is multiple in one of the embodiments, after multiple air-conditioning internal machine parallel connections with
The Centralized Controller electrical connection.
The display is LCD display in one of the embodiments,；The voice device is loud speaker.
The beneficial effects of the invention are as follows：
The air conditioning control method and system of the present invention, by the key message that schedule is set into the matching of row information and pre-
After survey, the default recommended value of key message is fed back into user, the Two-way Feedback control of central air-conditioning schedule setting is realized, carries
The high accuracy of central air-conditioning schedule setting.Moreover, the air conditioning control method and system can be completed to set automatically.Meanwhile
The air-conditioner control system improves man-machine interaction by setting display, voice device etc..
Description of the drawings
Fig. 1 is the flow chart of one embodiment of air conditioning control method of the present invention；
Fig. 2 is the flow chart that key message is extracted in Fig. 1；
Fig. 3 is the flow chart of matching and the prediction of information in Fig. 1；
Fig. 4 is the system block diagram of an embodiment of the air-conditioner control system of the present invention；
Fig. 5 is the structure diagram of one embodiment of Centralized Controller in Fig. 4.
Specific embodiment
In order to make technical scheme of the present invention clearer, below in conjunction with attached drawing, to the control method and system of the present invention
It is described in further detail.It should be appreciated that specific embodiment described herein is only explaining that the present invention is not used to limit
The fixed present invention.
It is the flow chart of one embodiment of air conditioning control method of the present invention as shown in Figure 1, including as follows referring to Fig. 1 to Fig. 5
Step：
S1, the key message of extraction schedule setting, the key message include the weather such as date, temperature, humidity and wind speed ginseng
Number.In the present embodiment, which uses preserves in past three year user to day with the graphics software of calendar form
The setting information of journey（Date, remarks, airconditioning control parameter including schedule etc.）, then correspondingly correspond to the current date
On.
S2, according to the key message of extraction into the matching and prediction of row information；By being obtained on one after matching and prediction
State the default recommended value of key message.
S3, the default recommended value of key message is fed back into user.In the present embodiment, voice or word can be passed through
User's prompting is given, while recommended value is preset to this and carries out brief explanation, so that user can be better understood from.
As a kind of embodiment, step S1 further includes following steps：
S11, judge whether to preserve past weather information；If so, enter step S2；If it is not, then connect internet
Weather site；
S12, judge whether that past weather information can be obtained from weather site；If so, enter step S2；If it is not,
Preset past weather information when then obtaining Centralized Controller manufacture.
In the present embodiment, which utilizes object-oriented design method, as unit of day, is designed
Into an object, by the schedule setting information of past three year, the Weather information of past three year and air quality data, the lunar calendar and 24
Solar term and festivals or holidays by algorithm optimization, are integrated them on the object, the attribute as the object.If centralized Control
Device saves above- mentioned information, then can be directly into the matching of row information and prediction.If Centralized Controller does not preserve above- mentioned information,
Can corresponding weather site or environmental monitoring website be accessed by the network connection of Centralized Controller, obtain the true of past three year
Then real Weather information correspondingly corresponds on the current date.Obtain the parameter of current Weather information simultaneously, then again into
The matching and prediction of row information ensure the accuracy of schedule setting.
As a kind of embodiment, step S2 further includes following steps：
S21, the parameter for obtaining the key message that user is set in the past carry out linear regression analysis after data classification；
S22, the parameter for obtaining past weather information carry out linear regression analysis after data classification；
S23, the parameter for obtaining following Weather information carry out linear regression analysis after data classification；
S24, regression model is established according to the linear analysis result of step S21 to step S23, analysis weather conditions are to schedule
The influence of the parameter of setting carries out data prediction.
The information matches of the air conditioning control method of the present embodiment and prediction process is exemplified below：
When user carries out schedule setting one day to Y, Centralized Controller needs to obtain the history schedule in nearest 3 years
Setting is：Y-1 one days, Y-2 one days, Y-3 one days, the temperature of the setting of then extracting over, humidity, wind speed, refrigeration/
Heat the parameter of isotype and past weather information, such as Tables 1 and 2.It should be understood that refrigeration cold and system in table 1
Hot hot is two mutexes.
| Time Y | Y-1 | Y-2 | Y-3 |
| Temperature T | T1 | T2 | T3 |
| Humidity H | H1 | H2 | H3 |
| Wind speed W | W1 | W2 | W3 |
| Freeze cold | 0/1 | 0/1 | 0/1 |
| Heat hot | 1/0 | 1/0 | 1/0 |
The parameter of 1 user of table setting in the past
| Time Y | Y-1 | Y-2 | Y-3 |
| Temperature difference t | Δt1 | Δt2 | Δt3 |
| Humidity h | h1 | h2 | h3 |
| Wind speed w | w1 | w2 | w3 |
The parameter of 2 past weather information of table
Meanwhile the parameter of the Weather information of Y one days is obtained, since the weather temperature in one day has the highest temperature and minimum
Temperature so by Δ t=highest temperature tH- lowest temperature tL, obtains the temperature difference of one day.In view of the changeable of weather, Centralized Controller is also
The parameter of following Weather information is obtained, the influence of the key message of its schedule setting to Y one days is analyzed, such as table 3.
| Date D | D |
| Temperature Tf | nTf |
| Humidity Hf | Ht |
| Wind speed wf | Wt |
The parameter of following Weather information of table 3
Centralized Controller is respectively to each Variable Factors in table 1 to table 3（Temperature T, humidity H, wind speed W, refrigerating/heating）
Coordinate plot is carried out, carries out linear regression analysis respectively.Then it is returned according to table 1 to the linear regression analysis of table 3 as a result, establishing
Model.Since the parameter of user setting is affected by multiple factors, multiple linear regression analysis need to be carried out, then establishes multiple linear
Regression model, equation below：
Y=β0+β1X1+…+βkXk+ε
Wherein, Y is the predicted value for needing to solve；X is the parameters such as temperature T, humidity H, wind speed W, refrigerating/heating.β 0, β
1 ... β k are unknown parameters, and ε is unobservable random variable, referred to as random error, it is assumed that ε~N (0, σ 2).Then basis
A large amount of observation data determine regression coefficient β 0, β 1 ... β k, so that it is determined that the relationship of Y and X1-Xk.
Since the parameter by following Weather information being needed to be added in prediction algorithm, default recommended value in order to obtain,
It needs to carry out error analysis.
Wherein,
If order rank (X)=k+1≤n of X, the least-squares estimation of parameter beta are
It can be proved thatUnbiased esti-mator for β.
It willIt substitutes into regression model and omits error term, obtained equation：
Then, the influence of parameter set according to above-mentioned regression model, analysis weather conditions to this schedule, carries out data
Prediction exports the default recommended value of the key message of this schedule setting.
As a kind of embodiment, air conditioning control method of the invention can realize the automatic setting of schedule setting.I.e.
Following steps are further included after step S1：
S4, judge whether to start the automatic setting of schedule；If so, enter step S2 after obtaining the schedule setting period；If
It is no, then it is directly entered step S2.When system starts automatic setting, user can according to system suggestion select to carry out automatically one week,
The schedule setting of one month or 1 year, then the air conditioning control method can be according to the period of user setting, in conjunction with information
The value of the key message of schedule setting that matching and prediction obtain, it is automatic to carry out schedule setting.
As a kind of embodiment, following steps are further included after step s4：
S5, judge whether the specified progress schedule set-up date is festivals or holidays；If so, output prompt message；If it is not, then
Enter step S2.Since the air conditioning control method uses the graphics software of calendar form to have the information of the lunar calendar and 24 solar term, because
This is with corresponding holiday information.
In order to remove the influence of the uncertainty of schedule setting, when the schedule of user setting will perform, the air-conditioning
Control method it is whole to the corresponding APP of mobile phone to send the information that a schedule performs by the way that Centralized Controller is controlled to connect network
On end.When user is late for going home, user can by corresponding cell phone application cancel family multi-connected machine will perform schedule or
Person postpones time for performing schedule etc..
The specific implementation process of the air conditioning control method of the invention is exemplified below：
If user carried out schedule setting on December 4th, 2013, Centralized Controller extracts following information first：
| Time Y | 2011 | 2012 | 2013 |
| Temperature T (C) | 25 | 24 | 25 |
| Wind speed W (shelves) | 1 | 1 | 1 |
| It dehumidifies (0/1) | 0 | 0 | 0 |
| Freeze cold (0/1) | 0 | 0 | 0 |
| Heat hot (0/1) | 1 | 1 | 1 |
The parameter of 4 user of table setting in the past
| Time Y | 2011 | 2012 | 2013 |
| Temperature difference t（℃） | 9 | 7 | 10 |
| Humidity H（%） | 25 | 30 | 20 |
| Wind speed w（Grade） | 3 | 4 | 3 |
The parameter of 5 past weather information of table
When the schedule for needing to set on December 4th, more than 2013 days following, the parameter of the Weather information several days following is obtained,
As shown in table 6.
The parameter of following Weather information of table 6
Then, the real data of above acquisition is substituted into the algorithm of matching and the prediction of above- mentioned information, is obtained following pre-
If recommended value：
The invention further relates to a kind of air-conditioner control system, including Centralized Controller 1, display 5, control panel 4, voice dress
3 and air-conditioning internal machine 2 are put, display 5, control panel 4, voice device 3 and air-conditioning internal machine 2 are electrically connected with Centralized Controller 1.Its
In, the quantity of air-conditioning internal machine 2 is multiple, and multiple air-conditioning internal machines 2 are in parallel to be electrically connected after Centralized Controller 1.Display is preferably
LCD display, voice device are preferably loud speaker.The air-conditioner control system just has good human-computer interaction interface in this way,
The control system of a Two-way Feedback is formd, improves the accuracy of schedule setting.
Centralized Controller includes information extraction modules 11, message processing module 12 and information feedback module 13.
Information extraction modules 11 are used to extract the key message of schedule setting, wherein, key message is the date, temperature, wet
Degree and wind speed；
Message processing module 12 is used for according to key message into the matching and prediction of row information；
Information feedback module 13 is used to the default recommended value of key message feeding back to user.
More preferably, information extraction modules 11 further include first information extraction unit, the second information extraction unit, the first information
Extraction unit is used to judge whether to preserve past weather information；If so, into message processing module；If it is not, then connection is mutual
The weather site of networking；
Second information extraction unit is used to judge whether that past weather information can be obtained from weather site；If so,
Into message processing module；If it is not, preset past weather information when then obtaining Centralized Controller manufacture.
More preferably, message processing module 12 includes first information processing unit, the second information process unit, at third information
Manage unit and logic analysis unit；
First information processing unit is used to obtain the parameter for the key message that user is set in the past, and data classification is laggard
Row linear regression analysis；
Second information process unit is used to obtain the parameter of past weather information, and linear regression point is carried out after data classification
Analysis；
Third information process unit is used to obtain the parameter of following Weather information, and linear regression point is carried out after data classification
Analysis；
Logic analysis unit is used for according to first information processing unit to the linear analysis of the third information process unit
As a result linear regression model (LRM) is established, the influence of parameter that analysis weather conditions set schedule carries out data prediction.
As a kind of embodiment, the first judgment module 14 is further included.First judgment module 14 is used to judge whether to open
The automatic setting of dynamic schedule；If so, enter message processing module after obtaining the schedule setting period；If it is not, then it is directly entered letter
Cease processing module.
As a kind of embodiment, further include the second judgment module 15, the second judgment module 15 for judge to specify into
Whether the row schedule set-up date is festivals or holidays；If so, output prompt message；If it is not, then enter message processing module.Herein
Prompt message can be text prompt or voice prompt.
The air conditioning control method and system of the present invention, by the key message that schedule is set into the matching of row information and pre-
After survey, the default recommended value of key message is fed back into user, the Two-way Feedback control of central air-conditioning schedule setting is realized, carries
The high accuracy of central air-conditioning schedule setting.Moreover, the air conditioning control method and system can be completed to set automatically.Meanwhile
The air-conditioner control system improves man-machine interaction by setting display, voice device etc..
Embodiment described above only expresses the several embodiments of the present invention, and description is more specific and detailed, but simultaneously
Cannot the limitation to the scope of the claims of the present invention therefore be interpreted as.It should be pointed out that for those of ordinary skill in the art
For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to the guarantor of the present invention
Protect range.Therefore, the protection domain of patent of the present invention should be determined by the appended claims.
Claims (10)
1. a kind of air conditioning control method, which is characterized in that include the following steps：
S1, the key message of extraction schedule setting, wherein, the key message includes date, temperature, humidity and wind speed；
S2, the parameter set according to the key message into the matching and prediction of row information, analysis weather conditions to current schedule
Influence, and obtain the default recommended value of the key message；Wherein, the step S2 further includes following steps：
S21, the parameter for obtaining the key message that user is set in the past carry out linear regression analysis after data classification；
S22, the parameter for obtaining past weather information carry out linear regression analysis after data classification；
S23, the parameter for obtaining following Weather information carry out linear regression analysis after data classification；
S24, establish linear regression model (LRM) according to the linear analysis result of the step S21 to the step S23, analysis weather because
The influence for the parameter that element sets schedule carries out data prediction, obtains the default recommended value of the key message；
S3, the default recommended value of the key message is fed back into user.
2. air conditioning control method according to claim 1, which is characterized in that the step S1 further includes following steps：
S11, judge whether to preserve past weather information；If so, enter step S2；If it is not, then connect the meteorology of internet
Website；
S12, judge whether that past weather information can be obtained from weather site；If so, enter step S2；If it is not, it then obtains
Take Centralized Controller preset past weather information when dispatching from the factory.
3. air conditioning control method according to claim 1, which is characterized in that further include following step after the step S1
Suddenly：
S4, judge whether to start the automatic setting of schedule；If so, enter step S2 after obtaining the schedule setting period；If it is not, then
It is directly entered step S2.
4. air conditioning control method according to claim 3, which is characterized in that further include following step after the step S4
Suddenly：
S5, judge whether the specified progress schedule set-up date is festivals or holidays；If so, output prompt message；If it is not, then enter
Step S2.
5. a kind of air-conditioner control system, which is characterized in that including Centralized Controller, display, control panel, voice device and sky
Machine in tune, the display, the control panel, the voice device and the air-conditioning internal machine are electric with the Centralized Controller
Connection；
The Centralized Controller includes information extraction modules, message processing module and information feedback module；
Described information extraction module be used for extract schedule setting key message, the key message for the date, temperature, humidity and
Wind speed；
Described information processing module is used for according to the key message into the matching and prediction of row information, and analysis weather conditions are to working as
The influence of the parameter of preceding schedule setting, and obtain the default recommended value of the key message；Wherein, described information processing module packet
Include first information processing unit, the second information process unit, third information process unit and logic analysis unit；
The first information processing unit is used to obtain the parameter for the key message that user is set in the past, and data classification is laggard
Row linear regression analysis；
Second information process unit is used to obtain the parameter of past weather information, and linear regression point is carried out after data classification
Analysis；
The third information process unit is used to obtain the parameter of following Weather information, and linear regression point is carried out after data classification
Analysis；
The logic analysis unit is used for according to the linear of the first information processing unit to the third information process unit
Analysis result establishes linear regression model (LRM), and the influence of parameter that analysis weather conditions set schedule carries out data prediction, obtains
The default recommended value of the key message；
Described information feedback module is used to the default recommended value of the key message feeding back to user.
6. air-conditioner control system according to claim 5, it is characterised in that：
Described information extraction module further includes first information extraction unit, the second information extraction unit；
The first information extraction unit is used to judge whether to preserve past weather information；If so, into information processing mould
Block；If it is not, then connect the weather site of internet；
Second information extraction unit is used to judge whether that past weather information can be obtained from weather site；If so,
Into message processing module；If it is not, preset past weather information when then obtaining Centralized Controller manufacture.
7. air-conditioner control system according to claim 5, it is characterised in that：
The first judgment module is further included, first judgment module is used for the automatic setting for judging whether to start schedule；If so,
Enter message processing module after obtaining the schedule setting period；If it is not, then it is directly entered message processing module.
8. air-conditioner control system according to claim 5, it is characterised in that：
The second judgment module is further included, whether second judgment module is section for judging the specified progress schedule set-up date
Holiday；If so, output prompt message；If it is not, then enter message processing module.
9. air-conditioner control system according to claim 5, it is characterised in that：
The quantity of the air-conditioning internal machine is multiple, is electrically connected after multiple air-conditioning internal machine parallel connections with the Centralized Controller.
10. air-conditioner control system according to claim 5, it is characterised in that：
The display is LCD display；The voice device is loud speaker.
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| CN201310733662.5A CN104748286B (en) | 2013-12-25 | 2013-12-25 | Air conditioner control method and system |
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|---|---|---|---|---|
| CN105465957B (en) * | 2015-12-21 | 2019-07-09 | Tcl集团股份有限公司 | A kind of intelligent temperature adjusting method and its system |
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| CN102052739B (en) * | 2010-12-27 | 2012-10-17 | 重庆大学 | Central air conditioner intelligent control system based on wireless sensor network and method |
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