CN104748286A - Air conditioner control method and system - Google Patents
Air conditioner control method and system Download PDFInfo
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- CN104748286A CN104748286A CN201310733662.5A CN201310733662A CN104748286A CN 104748286 A CN104748286 A CN 104748286A CN 201310733662 A CN201310733662 A CN 201310733662A CN 104748286 A CN104748286 A CN 104748286A
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- 238000000034 method Methods 0.000 title claims abstract description 37
- 230000010365 information processing Effects 0.000 claims description 48
- 238000012417 linear regression Methods 0.000 claims description 27
- 238000000605 extraction Methods 0.000 claims description 22
- 238000004378 air conditioning Methods 0.000 claims description 9
- 230000002457 bidirectional effect Effects 0.000 abstract description 4
- 230000003993 interaction Effects 0.000 abstract description 4
- 238000010438 heat treatment Methods 0.000 description 7
- 238000001816 cooling Methods 0.000 description 4
- 238000005057 refrigeration Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007791 dehumidification Methods 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
- 239000000284 extract Substances 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
- 238000005457 optimization Methods 0.000 description 1
Classifications
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- 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
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- 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)
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- 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 invention relates to the technical field of air conditioners, in particular to an air conditioner control method and system.
Background
At present, the central air conditioner is generally applied to high-rise buildings, large shopping malls and the like, but the energy consumption of the central air conditioner is very high. Although the centralized control technology of the central air conditioner properly improves the energy efficiency of the central air conditioner, a large amount of electric energy is wasted due to improper setting of the centralized control.
Most of the schedule settings of the existing multi-split air conditioner centralized control are settings for performing functions such as switching on and off, cooling or heating on each indoor unit according to own schedule by a user. The schedule setting mode is that a user carries out the setting of the switch and the function according to the time period of going to work and going off work every week and then correspondingly carries out the setting of the switch and the function on each internal machine in a timing mode, or carries out the setting of the switch and the function by adding the date specified by the user.
However, such a schedule setting cannot be better adjusted to changes in the environment, to the user's variable factors, and to the user's actual needs.
Disclosure of Invention
In view of the current situation of the prior art, the present invention provides an air conditioner control method and system, which feed back a preset suggested value to a user through matching and prediction of key information, thereby improving the accuracy of schedule setting of a central air conditioner.
In order to achieve the purpose, the invention adopts the following technical scheme:
an air conditioner control method 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.
In one embodiment, the step S1 further includes the following steps:
s11, judging whether to save past weather information; if yes, go to step S2; if not, connecting a meteorological website of the Internet;
s12, judging whether past weather information can be acquired from a weather website; if yes, go to step S2; and if not, acquiring past weather information preset when the centralized controller leaves the factory.
In one embodiment, the step S2 further includes the following steps:
s21, obtaining parameters of the key information set by the user in the past, and performing linear regression analysis after data classification;
s22, obtaining parameters of past weather information, and performing linear regression analysis after data classification;
s23, obtaining parameters of future weather information, and performing linear regression analysis after data classification;
s24, establishing a linear regression model according to the linear analysis results from the step S21 to the step S23, analyzing the influence of weather factors on the parameters of schedule setting, and performing data prediction.
In one embodiment, the step S1 is followed by the following steps:
s4, judging whether to start automatic schedule setting; if yes, the step S2 is executed after the schedule setting period is acquired; if not, the process proceeds directly to step S2.
In one embodiment, the step S4 is followed by the following steps:
s5, judging whether the date appointed to carry out schedule setting is a holiday or not; if yes, outputting prompt information; if not, the process proceeds to step S2.
The invention also provides an air conditioner control system based on the same invention concept, which comprises an integrated controller, a display, a control panel, a voice device and an air conditioner indoor unit, wherein the display, the control panel, the voice device and the air conditioner indoor unit are all electrically connected with the integrated controller;
the centralized controller comprises an information extraction module, an information processing module and an information feedback module;
the information extraction module is used for extracting key information set by a schedule, wherein the key information is date, temperature, humidity and wind speed;
the information processing module is used for matching and predicting information according to the key information;
the information feedback module is used for feeding back the preset suggestion value of the key information to the user.
In one embodiment, the information extraction module further comprises a first information extraction unit and a second information extraction unit;
the first information extraction unit is used for judging whether past weather information is stored or not; if yes, entering an information processing module; if not, connecting a meteorological website of the Internet;
the second information extraction unit is used for judging whether past weather information can be acquired from a weather website; if yes, entering an information processing module; and if not, acquiring past weather information preset when the centralized controller leaves the factory.
In one embodiment, the information processing module comprises a first information processing unit, a second information processing unit, a third information processing unit and a logic analysis unit;
the first information processing unit is used for acquiring parameters of the key information set by a user in the past, and performing linear regression analysis after data classification;
the second information processing unit is used for acquiring parameters of past weather information, and performing linear regression analysis after data classification;
the third information processing unit is used for acquiring parameters of future weather information, and performing linear regression analysis after data classification;
the logic analysis unit is used for establishing a linear regression model according to linear analysis results from the first information processing unit to the third information processing unit, analyzing the influence of weather factors on schedule setting parameters, and performing data prediction.
In one embodiment, the system further comprises a first judging module, wherein the first judging module is used for judging whether to start automatic setting of the schedule; if yes, acquiring a schedule setting period and then entering an information processing module; if not, the information processing module is directly entered.
In one embodiment, the system further comprises a second judging module, wherein the second judging module is used for judging whether the date designated for carrying out schedule setting is a holiday or not; if yes, outputting prompt information; if not, entering an information processing module.
In one embodiment, the number of the air conditioner internal units is multiple, and the multiple air conditioner internal units are connected in parallel and then electrically connected with the centralized controller.
In one embodiment, the display is an LCD display screen; the voice device is a loudspeaker.
The invention has the beneficial effects that:
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.
Drawings
FIG. 1 is a flowchart illustrating an embodiment of an air conditioning control method according to the present invention;
FIG. 2 is a flow chart of the extraction of key information of FIG. 1;
FIG. 3 is a flow chart of matching and prediction of the information of FIG. 1;
FIG. 4 is a system block diagram of an embodiment of an climate control system of the present invention;
fig. 5 is a block diagram of an embodiment of the centralized controller in fig. 4.
Detailed Description
In order to make the technical solution of the present invention clearer, the control method and system of the present invention are further described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1 to 5, fig. 1 is a flowchart illustrating an embodiment of an air conditioning control method according to the present invention, including the following steps:
and S1, extracting key information of schedule setting, wherein the key information comprises weather parameters such as date, temperature, humidity and wind speed. In the embodiment, the air conditioner control method adopts graphic software in the form of a calendar to store the setting information (including the date, remark, air conditioner control parameter and the like of the schedule) of the schedule of the user in the last three years, and then the setting information corresponds to the current date correspondingly.
S2, matching and predicting the information according to the extracted key information; and obtaining a preset suggested value of the key information after matching and prediction.
And S3, feeding back the preset suggestion value of the key information to the user. In this embodiment, the user may be prompted by voice or text, and the preset suggested value is briefly explained, so that the user can better understand the preset suggested value.
As an implementation manner, the step S1 further includes the following steps:
s11, judging whether to save past weather information; if yes, go to step S2; if not, connecting a meteorological website of the Internet;
s12, judging whether past weather information can be acquired from a weather website; if yes, go to step S2; and if not, acquiring past weather information preset when the centralized controller leaves the factory.
In this embodiment, the air conditioning control method is designed as one object in units of days by using an object-oriented design method, and schedule setting information of the last three years, weather information and air quality data of the last three years, lunar calendar and 24 solar terms and holidays are integrated into the object through algorithm optimization as attributes of the object. If the centralized controller stores the information, the information can be directly matched and predicted. If the centralized controller does not store the information, the corresponding weather website or the environment monitoring website can be accessed through the network connection of the centralized controller, the real weather information of the last three years is obtained, and then the information corresponds to the current date correspondingly. Meanwhile, parameters of the current weather information are obtained, and then matching and prediction of the information are carried out, so that the accuracy of schedule setting is guaranteed.
As an implementation manner, the step S2 further includes the following steps:
s21, obtaining parameters of the key information set by the user in the past, and performing linear regression analysis after data classification;
s22, obtaining parameters of past weather information, and performing linear regression analysis after data classification;
s23, obtaining parameters of future weather information, and performing linear regression analysis after data classification;
and S24, establishing a regression model according to the linear analysis results from the step S21 to the step S23, analyzing the influence of weather factors on the parameters of the schedule setting, and predicting data.
The following illustrates the information matching and prediction process of the air conditioner control method of the present embodiment:
when a user performs schedule setting on a certain day in Y year, the centralized controller needs to acquire historical schedule setting in the last three years, namely: a certain day of Y-1 year, a certain day of Y-2 year and a certain day of Y-3 year, and then the past set temperature, humidity, wind speed, cooling/heating modes and the like and the past parameters of weather information are extracted, as shown in tables 1 and 2. It should be clear that cooling cold and heating hot in table 1 are two mutually exclusive quantities.
| Year Y | Y-1 | Y-2 | Y-3 |
| Temperature T | T1 | T2 | T3 |
| Humidity H | H1 | H2 | H3 |
| Wind speed W | W1 | W2 | W3 |
| Refrigeration cold | 0/1 | 0/1 | 0/1 |
| Heating hot | 1/0 | 1/0 | 1/0 |
TABLE 1 parameters set by the user in the past
| Year Y | Y-1 | Y-2 | Y-3 |
| Temperature difference Deltat | Δt1 | Δt2 | Δt3 |
| Humidity h | h1 | h2 | h3 |
| Wind speed w | w1 | w2 | w3 |
TABLE 2 parameters of past weather information
Meanwhile, the parameters of the weather information of a day in Y year are obtained, and the temperature difference of one day is obtained by delta t = the highest temperature tH-the lowest temperature tL because the weather temperature of one day has the highest temperature and the lowest temperature. In consideration of the variability of weather, the centralized controller also acquires the parameters of future weather information and analyzes the influence of the parameters on the key information of the schedule setting of a certain day of the Y year, such as table 3.
| Date D | D |
| Temperature Tf | nTf |
| Humidity Hf | Ht |
| Wind speed wf | Wt |
TABLE 3 parameters of future weather information
The centralized controller respectively plots coordinates of variable factors (temperature T, humidity H, wind speed W, cooling/heating) in tables 1 to 3, and respectively performs linear regression analysis. Then, a regression model was established based on the results of the linear regression analysis in tables 1 to 3. Because the parameters set by the user are influenced by a plurality of factors, multivariate linear regression analysis is needed, and then a multivariate linear regression model is established, wherein the formula is as follows:
Y=β0+β1X1+…+βkXk+
wherein Y is a predicted value to be solved; x is temperature T, humidity H, wind speed W, refrigeration/heating and other parameters. β 0, β 1, … β k are unknown parameters, are random variables that are not observable, called random errors, assuming-N (0, σ 2). Regression coefficients β 0, β 1, … β k are then determined from the bulk of the observed data to determine the relationship of Y to X1-Xk.
Since the parameters of future weather information need to be added to the prediction algorithm, error analysis is needed to obtain the preset recommended value.
Wherein,
if the rank of X (X) = k + 1. ltoreq.n, the least-squares estimate of the parameter β is
It can be shown that,is an unbiased estimate of beta.
Will be provided withSubstituting the regression model and omitting the error term to obtain an equation:
and then, analyzing the influence of weather factors on the parameters of the schedule setting at this time according to the regression model, performing data prediction, and outputting a preset suggested value of the key information of the schedule setting at this time.
As an implementable manner, the air conditioner control method of the present invention can implement automatic setting of schedule setting. Namely, the following steps are also included after step S1:
s4, judging whether to start automatic schedule setting; if yes, the step S2 is executed after the schedule setting period is acquired; if not, the process proceeds directly to step S2. When the system starts automatic setting, a user can automatically set a schedule of a week, a month or a year according to the prompt of the system, and then the air conditioner control method can automatically set the schedule according to the period set by the user and the value of key information of the schedule setting obtained by matching and predicting the information.
As an implementation manner, the following steps are further included after step S4:
s5, judging whether the date appointed to carry out schedule setting is a holiday or not; if yes, outputting prompt information; if not, the process proceeds to step S2. The air conditioner control method adopts graphic software in the form of a calendar to have information of the lunar calendar and the 24 solar terms, so that the graphic software has corresponding information of the holidays and the festivals.
In order to remove the influence of the uncertain factors of schedule setting, when a schedule set by a user is about to be executed, the air conditioner control method can be used for connecting a network through a control centralized controller and sending schedule execution information to an APP terminal corresponding to a mobile phone. When the user does not return home on time, the user can cancel the schedule to be executed by the multi-online machine at home or delay the time of executing the schedule and the like through the corresponding mobile phone APP.
The following illustrates a specific implementation process of the air conditioner control method of the present invention:
if the user carries out schedule setting on number 12/4 in 2013, the centralized controller firstly extracts the following information:
| year Y | 2011 | 2012 | 2013 |
| Temperature T (C) | 25 | 24 | 25 |
| Wind speed W (gear) | 1 | 1 | 1 |
| Dehumidification (0/1) | 0 | 0 | 0 |
| Refrigeration cold (0/1) | 0 | 0 | 0 |
| Heating hot (0/1) | 1 | 1 | 1 |
TABLE 4 parameters set by the user in the past
| Year Y | 2011 | 2012 | 2013 |
| Temperature difference Δ t (. degree. C.) | 9 | 7 | 10 |
| Humidity H (%) | 25 | 30 | 20 |
| Wind speed w (grade) | 3 | 4 | 3 |
TABLE 5 parameters of past weather information
When it is necessary to set a schedule of the future days of 12, 4 and 2013, parameters of weather information of the future days are acquired as shown in table 6.
TABLE 6 parameters of future weather information
Then, substituting the obtained actual data into the algorithm for matching and predicting the information to obtain the following preset suggested values:
the invention also relates to an air conditioner control system which comprises the integrated controller 1, a display 5, a control panel 4, a voice device 3 and an air conditioner indoor unit 2, wherein the display 5, the control panel 4, the voice device 3 and the air conditioner indoor unit 2 are all electrically connected with the integrated controller 1. The number of the air conditioner indoor units 2 is multiple, and the air conditioner indoor units 2 are electrically connected with the integrated controller 1 after being connected in parallel. The display is preferably an LCD screen and the speech device is preferably a speaker. Therefore, the air conditioner control system has a good man-machine interaction interface, a bidirectional feedback control system is formed, and the accuracy of schedule setting is improved.
The centralized controller comprises an information extraction module 11, an information processing module 12 and an information feedback module 13.
The information extraction module 11 is configured to extract key information of schedule settings, where the key information includes date, temperature, humidity, and wind speed;
the information processing module 12 is used for matching and predicting the information according to the key information;
the information feedback module 13 is configured to feed back a preset suggested value of the key information to the user.
Preferably, the information extraction module 11 further includes a first information extraction unit and a second information extraction unit, where the first information extraction unit is configured to determine whether to store past weather information; if yes, entering an information processing module; if not, connecting a meteorological website of the Internet;
the second information extraction unit is used for judging whether past weather information can be acquired from a weather website; if yes, entering an information processing module; and if not, acquiring past weather information preset when the centralized controller leaves the factory.
Preferably, the information processing module 12 includes a first information processing unit, a second information processing unit, a third information processing unit, and a logic analysis unit;
the first information processing unit is used for acquiring parameters of the key information set by a user in the past, and performing linear regression analysis after data classification;
the second information processing unit is used for acquiring parameters of past weather information, and performing linear regression analysis after data classification;
the third information processing unit is used for acquiring parameters of future weather information, and performing linear regression analysis after data classification;
and the logic analysis unit is used for establishing a linear regression model according to linear analysis results from the first information processing unit to the third information processing unit, analyzing the influence of weather factors on the parameters of schedule setting and carrying out data prediction.
As an implementation manner, the first determining module 14 is further included. The first judging module 14 is used for judging whether to start automatic setting of schedules; if yes, acquiring a schedule setting period and then entering an information processing module; if not, the information processing module is directly entered.
As an implementation manner, the system further includes a second judging module 15, where the second judging module 15 is configured to judge whether the date designated for performing the schedule setting is a holiday or not; if yes, outputting prompt information; if not, entering an information processing module. The prompt message can be a text prompt or a voice prompt.
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.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (12)
1. An air conditioner control method is characterized by comprising 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.
2. The air conditioner control method according to claim 1, wherein the step S1 further includes the steps of:
s11, judging whether to save past weather information; if yes, go to step S2; if not, connecting a meteorological website of the Internet;
s12, judging whether past weather information can be acquired from a weather website; if yes, go to step S2; and if not, acquiring past weather information preset when the centralized controller leaves the factory.
3. The air conditioner control method according to claim 2, wherein the step S2 further includes the steps of:
s21, obtaining parameters of the key information set by the user in the past, and performing linear regression analysis after data classification;
s22, obtaining parameters of past weather information, and performing linear regression analysis after data classification;
s23, obtaining parameters of future weather information, and performing linear regression analysis after data classification;
s24, establishing a linear regression model according to the linear analysis results from the step S21 to the step S23, analyzing the influence of weather factors on the parameters of schedule setting, and performing data prediction.
4. The air conditioner control method according to claim 1, further comprising, after the step S1, the steps of:
s4, judging whether to start automatic schedule setting; if yes, the step S2 is executed after the schedule setting period is acquired; if not, the process proceeds directly to step S2.
5. The air conditioner control method according to claim 1, further comprising, after the step S4, the steps of:
s5, judging whether the date appointed to carry out schedule setting is a holiday or not; if yes, outputting prompt information; if not, the process proceeds to step S2.
6. The air conditioner control system is characterized by comprising an integrated controller, a display, a control panel, a voice device and an air conditioner indoor unit, wherein the display, the control panel, the voice device and the air conditioner indoor unit are all electrically connected with the integrated controller;
the centralized controller comprises an information extraction module, an information processing module and an information feedback module;
the information extraction module is used for extracting key information set by a schedule, wherein the key information is date, temperature, humidity and wind speed;
the information processing module is used for matching and predicting information according to the key information;
the information feedback module is used for feeding back the preset suggestion value of the key information to the user.
7. The air conditioning control system according to claim 6, characterized in that:
the information extraction module also comprises a first information extraction unit and a second information extraction unit;
the first information extraction unit is used for judging whether past weather information is stored or not; if yes, entering an information processing module; if not, connecting a meteorological website of the Internet;
the second information extraction unit is used for judging whether past weather information can be acquired from a weather website; if yes, entering an information processing module; and if not, acquiring past weather information preset when the centralized controller leaves the factory.
8. The air conditioning control system according to claim 7, characterized in that:
the information processing module comprises a first information processing unit, a second information processing unit, a third information processing unit and a logic analysis unit;
the first information processing unit is used for acquiring parameters of the key information set by a user in the past, and performing linear regression analysis after data classification;
the second information processing unit is used for acquiring parameters of past weather information, and performing linear regression analysis after data classification;
the third information processing unit is used for acquiring parameters of future weather information, and performing linear regression analysis after data classification;
the logic analysis unit is used for establishing a linear regression model according to linear analysis results from the first information processing unit to the third information processing unit, analyzing the influence of weather factors on schedule setting parameters, and performing data prediction.
9. The air conditioning control system according to claim 6, characterized in that:
the system also comprises a first judgment module, wherein the first judgment module is used for judging whether to start the automatic setting of the schedule; if yes, acquiring a schedule setting period and then entering an information processing module; if not, the information processing module is directly entered.
10. The air conditioning control system according to claim 6, characterized in that:
the second judgment module is used for judging whether the date appointed for carrying out the schedule setting is a holiday or not; if yes, outputting prompt information; if not, entering an information processing module.
11. The air conditioning control system according to claim 6, characterized in that:
the number of the air conditioner indoor units is multiple, and the multiple air conditioner indoor units are connected in parallel and then electrically connected with the integrated controller.
12. The air conditioning control system according to claim 6, characterized in that:
the display is an LCD display screen; the voice device is a loudspeaker.
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| CN105465957A (en) * | 2015-12-21 | 2016-04-06 | Tcl集团股份有限公司 | Intelligent temperature regulating method and system |
| CN107045291A (en) * | 2016-02-05 | 2017-08-15 | 中国电信股份有限公司 | Forming method, the device and system of intelligent terminal control rule |
| CN109269023A (en) * | 2018-08-18 | 2019-01-25 | 北京米微环保科技有限公司 | A kind of management method and device of new wind devices |
| CN109977621A (en) * | 2019-04-30 | 2019-07-05 | 西南石油大学 | A kind of air-conditioning failure prediction method based on deep learning |
| WO2019196492A1 (en) * | 2018-04-09 | 2019-10-17 | 珠海格力电器股份有限公司 | Air conditioner and control method therefor, device, storage medium and server |
| CN111626453A (en) * | 2020-02-20 | 2020-09-04 | 南京绿慧能源科技有限公司 | Positive feedback energy station group control system, method, storage medium and electronic equipment |
| CN112665124A (en) * | 2020-12-11 | 2021-04-16 | 珠海格力电器股份有限公司 | Air conditioner control method and device and air conditioning equipment |
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