CN109269036A - The cloud control method and multi-online air-conditioning system of multi-gang air-conditioner - Google Patents
The cloud control method and multi-online air-conditioning system of multi-gang air-conditioner Download PDFInfo
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- CN109269036A CN109269036A CN201811073288.XA CN201811073288A CN109269036A CN 109269036 A CN109269036 A CN 109269036A CN 201811073288 A CN201811073288 A CN 201811073288A CN 109269036 A CN109269036 A CN 109269036A
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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
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Abstract
The present invention proposes the cloud control method and multi-online air-conditioning system of a kind of multi-gang air-conditioner, the control method includes building operation data library, construct Multidimensional numerical, construct SVM model, construct ANN model and building four steps of decision-tree model, by four steps, output meets comfort level and energy-efficient preferential execution parameter；The multi-online air-conditioning system includes multiple indoor units, corresponding each indoor unit, which is provided with, can acquire user to the cloud line control machine of indoor unit setting operating parameter, the cloud central controller of running environment parameter locating for each indoor unit can be acquired, and collects and handle the cloud of the cloud line control machine Yu the cloud central controller data information.The invention simplifies the control logic of each indoor unit in cumbersome multi-connected machine, keeps the realtime control of multi-online air-conditioning system higher, control is more effective by setting up different training patterns.
Description
Technical field
The invention belongs to air-conditioning technical field more particularly to a kind of multi-online air-conditioning systems.
Background technique
Currently, leading to the intelligence of some apolegamy parts of air-conditioning system as the intelligentized demand of air-conditioner set is higher and higher
Change and also improve rapidly, such as some voice line control machines, equipment, the single unit such as intelligent people's sense also upgrade more energy saving, comfortable.
It is flat that a kind of intelligent air condition, intelligent air condition temperature automatic adjustment cloud are disclosed in Chinese invention patent CN107504647A
Platform and system, in the invention, intelligent air condition include communication module one, intelligent air condition control module, environmental parameter induction module and
Use state induction module, the environmental parameter induction module are connect with communication module one, use state induction module respectively with
Intelligent air condition control module and communication module one connect, and intelligent air condition control module is connect with communication module one.
By above-mentioned existing patent, what is be able to achieve is user without manually adjusting, and is more convenient user, is suitable for Intelligent air
It adjusts.But its shortcoming is that detection this parameter of environment temperature is only through to adjust set temperature, input quantity is more single
One, and departing from the operation control logic of unit itself, feasibility is not high.
Summary of the invention
To solve the above-mentioned problems, the present invention provides a kind of cloud control method of multi-gang air-conditioner and multi-connected machine are empty
Adjusting system, the invention simplify the control logic of each indoor unit in cumbersome multi-connected machine, make by setting up different training patterns
The realtime control of multi-online air-conditioning system is higher, and control is more effective.
In order to achieve the above object, the technical solution adopted by the present invention are as follows:
A kind of cloud control method of multi-gang air-conditioner, comprising the following steps:
Construct operation data library: acquisition multi-gang air-conditioner in each indoor unit operating index in corresponding operating parameter
Cloud is reached, operation data library is formed；
Construct Multidimensional numerical: cloud by operation data library using the time as benchmark axis, between settling time and each operating index
Multidimensional numerical；
It constructs SVM model: on the basis of Multidimensional numerical, SVM model is constructed, for each indoor unit in SVM model
Running environment scene classification sorts out collected indoor unit operating index according to the running environment of indoor unit to phase with parameter
It answers under scene；
It constructs ANN model: constructing ANN model for the different scenes that each SVM model is formed, pass through the pre- of ANN model
Sentence, filters out the reference operating parameter of indoor unit；
Building decision-tree model: it will be sent in decision-tree model, be judged with reference to operating parameter pre- with reference to operating parameter
If in the time, if the instruction for adjusting this with reference to operating parameter is received, if not, exporting this with reference to operating parameter, and should
It is preferential execution parameter with reference to operating parameter setting；Conversely, being then preferentially to execute ginseng with the parameter operating parameter setting after adjusting
Number.
It is advanced optimized as of the invention, in the step of constructing SVM model, specifically: according to indoor unit operation
Different periods, statistics different user setup parameter obtain different unit operating parameters, and the operating parameter collected every time is automatic
Classification, according to default running environment scene automatically into corresponding scene.
It is advanced optimized as of the invention, in the step of constructing SVM model, specifically: default running environment scene
To include the set for sharing performance data.
It is advanced optimized as of the invention, in the step of constructing ANN model, specifically: counting user is previous to be set
Determine operational parameter value, and select choosing set number it is most set operational parameter value as habit parameter；According to locating for indoor unit instantly
It is theoretical parameter that running environment, which calculates theoretical operational parameter value,；Acquire the setting operating parameter of user instantly；It will habit parameter, reason
It is corrected by parameter and setting operating parameter fitting, to export the reference operating parameter of indoor unit.
It is advanced optimized as of the invention, in the step of constructing decision-tree model, specifically: judgement is with reference to operation ginseng
Whether number receives the adjustment instruction of user within a preset time, if not, assert that comfort level is 1, conversely, then assert comfort level
It is 0.
It is advanced optimized as of the invention, in the step of constructing decision-tree model, specifically: judgement is with reference to operation ginseng
Whether the power consumption of several power consumption and previous sampling period is to reduce preset value, if so, then assert that energy saving efficiency is 1, conversely, then
Assert that energy saving efficiency is 0.
It is advanced optimized as of the invention, in the step of constructing decision-tree model, specifically: it is pre- in decision-tree model
Boundary operating parameter equipped with the different operating index of correspondence judges preferentially to execute parameter whether in the operating parameter of boundary, if so,
Then export the preferential execution parameter；Conversely, then exporting warning message.
A kind of multi-online air-conditioning system, including multiple indoor units, corresponding each indoor unit, which is provided with, can acquire user
To the cloud line control machine of indoor unit setting operating parameter, converging for running environment parameter locating for each indoor unit can be acquired
Device is controlled, and collects and handle the cloud of the cloud line control machine Yu the cloud central controller data information, the cloud, which has, holds
The actuator of the cloud control method of multi-gang air-conditioner described in any of the above-described kind of embodiment of row.
It being advanced optimized as of the invention, the indoor unit includes the customer controller that executable user sets mode,
And the intelligent controller of the cloud control method of multi-gang air-conditioner described in any of the above-described kind of embodiment can be performed.
Compared with prior art, the advantages and positive effects of the present invention are:
1, it in the control method of multi-gang air-conditioner of the present invention, by setting up different training patterns, simplifies cumbersome multi-joint
The control logic of each indoor unit in machine, keeps the realtime control of multi-online air-conditioning system higher, and control is more effective, to meet
People are for comfortably needing；
2, for the present invention by the amendment after user adjusts setup parameter to operating parameter, realize needs people instantly
The improvement asked；Simultaneously by the way that operating parameter control within alarming value, is effectively prevented air-conditioning damage；It is consumed by control
Can, effectively realize energy conservation.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is the model schematic of the control method of multi-gang air-conditioner of the present invention；
Fig. 2 is the example schematic of multi-online air-conditioning system of the present invention.
Specific embodiment
In the following, the present invention is specifically described by illustrative embodiment.It should be appreciated, however, that not into one
In the case where step narration, element, structure and features in an embodiment can also be advantageously incorporated into other embodiments
In.
As shown in connection with fig. 1, the present invention provides a kind of cloud control method of multi-gang air-conditioner, the control method include with
Lower step:
Construct operation data library: acquisition multi-gang air-conditioner in each indoor unit operating index in corresponding operating parameter
Cloud is reached, operation data library is formed；
Construct Multidimensional numerical: cloud by operation data library using the time as benchmark axis, between settling time and each operating index
Multidimensional numerical；
It constructs SVM model: on the basis of Multidimensional numerical, SVM model is constructed, for each indoor unit in SVM model
Running environment scene classification sorts out collected indoor unit operating index according to the running environment of indoor unit to phase with parameter
It answers under scene；
It constructs ANN model: constructing ANN model for the different scenes that each SVM model is formed, pass through the pre- of ANN model
Sentence, filters out the reference operating parameter of indoor unit；
Building decision-tree model: it will be sent in decision-tree model, be judged with reference to operating parameter pre- with reference to operating parameter
If in the time, if the instruction for adjusting this with reference to operating parameter is received, if not, exporting this with reference to operating parameter, and should
It is preferential execution parameter with reference to operating parameter setting；Conversely, being then preferentially to execute ginseng with the parameter operating parameter setting after adjusting
Number.
Among the above, it should be noted that the operating index of multi-gang air-conditioner refers to that the user being arranged on air conditioner is adjustable
Or the index of control, such as temperature, humidity, pendulum leaf position, operational mode, switching on and shutting down, it is not exhaustive one by one herein, with the prior art
Subject to all indexs achieved by middle air conditioner.Meanwhile the present invention is had no effect on whether the increase and decrease of operating index in the present invention
The execution of middle step, it is only necessary to increase and decrease corresponding operating index in the factor of examination.Accordingly, heretofore described operation ginseng
Number refer to operating parameter corresponding to operating index instantly, as operating index be temperature when, user input 25 DEG C, then 25 DEG C be
Operating parameter.
Specifically, in building Multidimensional numerical, with such as following table for example: with a certain in multi-gang air-conditioner in the table
For a indoor unit, the service condition of the indoor unit is counted, i.e., using the time as benchmark axis, settling time point and set temperature are set
Determine the Multidimensional numerical of the operating parameters such as air quantity, setting mode, on-off state.
In the step of constructing SVM model, specifically: according to the different periods that indoor unit is run, statistics different user is set
Determine parameter and obtain different unit operating parameters, and the operating parameter collected every time is classified automatically, according to default running environment field
Scape is automatically into corresponding scene.Among the above, presetting running environment scene is the set comprising sharing performance data.Such as setting
In cooling mode, air quantity is apoplexy or low wind, and temperature change is defined as scene 1 between 20~26 degree, statistics gatherer
Indoor unit operating parameter is then classified to as the operating parameter meets scene 1 that is, with the shared performance data in scene 1
In scene 1, then continue subsequent step in scene 1 again.
In the step of constructing ANN model, specifically: the previous setting operational parameter value of counting user, and select choosing setting
Number it is most set operational parameter value as be accustomed to parameter；Running environment calculates theoretical operating parameter instantly according to locating for indoor unit
Value is theoretical parameter；Acquire the setting operating parameter of user instantly；It will habit parameter, theoretical parameter and setting operating parameter fitting
Amendment, to export the reference operating parameter of indoor unit.In this step, it by taking user's set temperature T as an example, is used according to statistics before
The habit temperature value T1 of family habit, the habit temperature value T1 are the set temperature that user's access times are most before counting；Together
When according to acquisition parameter etc. under temperature computation formula and current environment, calculate theoretical temperature value T2, finally by set temperature T,
Habit temperature value T1 and theoretical temperature value T2 is fitted amendment, obtains reference temperature value T3, and export the reference temperature value
T3 is into next step.
In order to meet the comfort level requirement of user and be adjusted convenient for the comfort level of user, in the step of building decision-tree model
In rapid, specifically: whether judgement receives the adjustment instruction of user with reference to operating parameter within a preset time, if not, assert
Comfort level is 1, conversely, then assert that comfort level is 0.Such as above-mentioned reference temperature value T3, when entering in decision-tree model, T3 is judged
Within a preset time, whether user can adjust the temperature value, such as adjust, then it is assumed that user is unsatisfied with Current Temperatures, i.e. the temperature
Degree is unsatisfactory for the comfort level requirement of the user；It is on the contrary, then it is assumed that it is that can meet the temperature of its comfort level requirement that user, which accepts the temperature,
Degree.
In addition, in order to meet the requirement to energy-saving and emission-reduction instantly, in the step of constructing decision-tree model, specifically: sentence
Whether disconnected power consumption and the power consumption in previous sampling period with reference to operating parameter is to reduce preset value, if so, then assert energy saving system
Number is 1, conversely, then assert that energy saving efficiency is 0.When energy saving efficiency is 0, need to remind user whether according to switching energy-saving run
Parameter.
In addition, in the step of constructing decision-tree model, specifically: it is preset with corresponding different operations in decision-tree model and refers to
Target boundary operating parameter judges the preferential parameter that executes whether in the operating parameter of boundary, if so, then exporting this preferential executes ginseng
Number；Conversely, then exporting warning message.By the setting of boundary operating parameter, effectively prevent because operating parameter is beyond boundary
Air-conditioning caused by being worth is shut down, and user experience is influenced.
As shown in Fig. 2, the present invention provides a kind of multi-online air-conditioning system, including multiple indoor units, it is corresponding each described
Indoor unit, which is provided with, can acquire user to the cloud line control machine of indoor unit setting operating parameter, can acquire each indoor unit
The cloud central controller of locating running environment parameter, and collect and handle the cloud line control machine and the cloud central controller data information
Cloud, the cloud have execute any of the above-described kind of embodiment described in multi-gang air-conditioner cloud control method execution
Device.
As shown in connection with fig. 2, for having family's multi-online air-conditioning system there are four room, respectively in the room of master bedroom
Machine, parlor indoor unit, secondary bedroom indoor unit and study indoor unit, it is corresponding because of the difference of environment locating for each indoor unit
Frequency of use and setup parameter etc. are different.Each indoor unit corresponds to a cloud line control machine, each cloud line control machine acquisition
It corresponds to the setup parameter of user's habit in indoor unit and is uploaded to cloud in real time, and cloud central controller then can be by indoor unit and outdoor
The current each operating parameter of machine is uploaded to cloud in real time.Cloud can then be handled according to the various data classifications of upload, together
When in conjunction with each complete machine control logic, control strategy is directly issued to line control machine and central controller, to realize energy conservation, comfortable
User experience effect.
In addition, multi-online air-conditioning system of the invention has both of which, i.e., it is a kind of to adjust mould for existing air-conditioned user
Formula, it is a kind of for the corresponding intelligent mode for realizing above-mentioned aptitude manner, under the both of which, with can select according to demand per family.Tool
Body, the indoor unit includes that executable user sets the customer controller of mode, and any of the above-described kind of embodiment can be performed
The intelligent controller of the cloud control method of multi-gang air-conditioner.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.
Claims (9)
1. a kind of cloud control method of multi-gang air-conditioner, it is characterised in that: the following steps are included:
Building operation data library: the operating index of each indoor unit is uploaded to corresponding operating parameter in acquisition multi-gang air-conditioner
Cloud forms operation data library；
Construct Multidimensional numerical: cloud by operation data library using the time as benchmark axis, it is more between settling time and each operating index
Dimension group；
It constructs SVM model: on the basis of Multidimensional numerical, constructing SVM model, the operation of each indoor unit is directed in SVM model
Environment scene classification, collected indoor unit operating index and parameter are sorted out according to the running environment of indoor unit to respective fields
Under scape；
It constructs ANN model: constructing ANN model for the different scenes that each SVM model is formed, pass through the anticipation of ANN model, sieve
Select the reference operating parameter of indoor unit；
Building decision-tree model: will be sent in decision-tree model with reference to operating parameter, judge with reference to operating parameter when default
In, if it receives and adjusts this and refer to the instruction of operating parameter, if not, export this with reference to operating parameter, and by the reference
Operating parameter setting is preferential execution parameter；Conversely, being then preferential execution parameter with the parameter operating parameter setting after adjusting.
2. the cloud control method of multi-gang air-conditioner according to claim 1, it is characterised in that: in building SVM model
In step, specifically: according to the different periods that indoor unit is run, statistics different user setup parameter obtains different unit operation ginsengs
Number, and the operating parameter collected every time is classified automatically, according to default running environment scene automatically into corresponding scene.
3. the cloud control method of the multi-gang air-conditioner according to claim 2, it is characterised in that: in building SVM
In the step of model, specifically: default running environment scene is the set comprising sharing performance data.
4. the cloud control method of multi-gang air-conditioner according to claim 1, it is characterised in that: in building ANN model
In step, specifically: the previous setting operational parameter value of counting user, and select the most setting operational parameter value of choosing setting number
To be accustomed to parameter；It is theoretical parameter that running environment, which calculates theoretical operational parameter value, instantly according to locating for indoor unit；Acquisition user works as
Under setting operating parameter；Habit parameter, theoretical parameter and setting operating parameter fitting are corrected, to export the reference of indoor unit
Operating parameter.
5. the cloud control method of multi-gang air-conditioner according to claim 1, it is characterised in that: in building decision-tree model
The step of in, specifically: whether judgement receives the adjustment instruction of user with reference to operating parameter within a preset time, if not,
Assert that comfort level is 1, conversely, then assert that comfort level is 0.
6. the cloud control method of multi-gang air-conditioner according to claim 1, it is characterised in that: in building decision-tree model
The step of in, specifically: judgement with reference to operating parameter power consumption and the previous sampling period power consumption whether be reduce preset value,
If so, then assert that energy saving efficiency is 1, conversely, then assert that energy saving efficiency is 0.
7. the cloud control method of multi-gang air-conditioner according to claim 1, it is characterised in that: in building decision-tree model
The step of in, specifically: be preset with the boundary operating parameter of corresponding different operating index in decision-tree model, judge preferential execute
Whether parameter is in the operating parameter of boundary, if so, then exporting the preferential execution parameter；Conversely, then exporting warning message.
8. a kind of multi-online air-conditioning system, including multiple indoor units, it is characterised in that: corresponding each indoor unit is provided with can
User is acquired to the cloud line control machine of indoor unit setting operating parameter, the ginseng of running environment locating for each indoor unit can be acquired
Several cloud central controllers, and collect and handle the cloud of the cloud line control machine Yu the cloud central controller data information, the cloud
Hold the actuator for the cloud control method that there is perform claim to require multi-gang air-conditioner described in any one of 1-7.
9. multi-online air-conditioning system according to claim 8, it is characterised in that: the indoor unit includes that executable user sets
The cloud control method of multi-gang air-conditioner described in any one of the customer controller of mould-fixed and executable claim 1-7
Intelligent controller.
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| CN201811073288.XA CN109269036B (en) | 2018-09-14 | 2018-09-14 | Cloud control method of multi-split air conditioner and multi-split air conditioner system |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111412588A (en) * | 2020-03-31 | 2020-07-14 | 广东美的制冷设备有限公司 | Control method of air conditioner system, server and medium |
| CN112178861A (en) * | 2020-09-28 | 2021-01-05 | 珠海格力电器股份有限公司 | Control method and device of gymnasium air conditioner, controller and air conditioning system |
| CN113587389A (en) * | 2021-07-21 | 2021-11-02 | 青岛海信日立空调***有限公司 | Air conditioning system |
| CN113917211A (en) * | 2021-11-05 | 2022-01-11 | 万合智联(浙江)科技有限公司 | Central air-conditioning charging and distributing system |
| CN113983652A (en) * | 2021-11-05 | 2022-01-28 | 万合智联(浙江)科技有限公司 | Energy-saving consumption-reducing central air conditioner management method and system |
| CN116336625A (en) * | 2023-05-18 | 2023-06-27 | 广州永昱节能科技股份有限公司 | Central air conditioning cold station group control energy-saving control method, device, equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101667016A (en) * | 2008-09-02 | 2010-03-10 | 段起阳 | Device for automatically modifying control command according to control history record |
| CN105890109A (en) * | 2016-03-31 | 2016-08-24 | 华南理工大学 | Online long-acting performance detection and optimized running method for room air conditioner |
| CN107062379A (en) * | 2016-12-28 | 2017-08-18 | 广东工业大学 | A kind of intelligent adaptive temperature-control water outlet method and device based on neutral net |
| US20180247362A1 (en) * | 2017-02-24 | 2018-08-30 | Sap Se | Optimized recommendation engine |
-
2018
- 2018-09-14 CN CN201811073288.XA patent/CN109269036B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101667016A (en) * | 2008-09-02 | 2010-03-10 | 段起阳 | Device for automatically modifying control command according to control history record |
| CN105890109A (en) * | 2016-03-31 | 2016-08-24 | 华南理工大学 | Online long-acting performance detection and optimized running method for room air conditioner |
| CN107062379A (en) * | 2016-12-28 | 2017-08-18 | 广东工业大学 | A kind of intelligent adaptive temperature-control water outlet method and device based on neutral net |
| US20180247362A1 (en) * | 2017-02-24 | 2018-08-30 | Sap Se | Optimized recommendation engine |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111412588A (en) * | 2020-03-31 | 2020-07-14 | 广东美的制冷设备有限公司 | Control method of air conditioner system, server and medium |
| CN112178861A (en) * | 2020-09-28 | 2021-01-05 | 珠海格力电器股份有限公司 | Control method and device of gymnasium air conditioner, controller and air conditioning system |
| CN112178861B (en) * | 2020-09-28 | 2021-08-27 | 珠海格力电器股份有限公司 | Control method and device of gymnasium air conditioner, controller and air conditioning system |
| CN113587389A (en) * | 2021-07-21 | 2021-11-02 | 青岛海信日立空调***有限公司 | Air conditioning system |
| CN113917211A (en) * | 2021-11-05 | 2022-01-11 | 万合智联(浙江)科技有限公司 | Central air-conditioning charging and distributing system |
| CN113983652A (en) * | 2021-11-05 | 2022-01-28 | 万合智联(浙江)科技有限公司 | Energy-saving consumption-reducing central air conditioner management method and system |
| CN116336625A (en) * | 2023-05-18 | 2023-06-27 | 广州永昱节能科技股份有限公司 | Central air conditioning cold station group control energy-saving control method, device, equipment and storage medium |
| CN116336625B (en) * | 2023-05-18 | 2023-08-18 | 广州永昱节能科技股份有限公司 | Central air conditioning cold station group control energy-saving control method, device, equipment and storage medium |
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