CN102829527B - Cloud air conditioning self-adaptive defrosting system - Google Patents
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- CN102829527B CN102829527B CN2012103222298A CN201210322229A CN102829527B CN 102829527 B CN102829527 B CN 102829527B CN 2012103222298 A CN2012103222298 A CN 2012103222298A CN 201210322229 A CN201210322229 A CN 201210322229A CN 102829527 B CN102829527 B CN 102829527B
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- 238000010257 thawing Methods 0.000 title claims abstract description 41
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- 230000006978 adaptation Effects 0.000 claims description 41
- 238000005265 energy consumption Methods 0.000 abstract description 4
- 238000010438 heat treatment Methods 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 4
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- 238000013461 design Methods 0.000 description 2
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- 238000003860 storage Methods 0.000 description 2
- 239000003570 air Substances 0.000 description 1
- 239000012080 ambient air Substances 0.000 description 1
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- 238000009826 distribution Methods 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
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Abstract
The invention discloses a cloud air conditioning self-adapting defrosting system which includes a user terminal connected to a cloud computing center through a communication network, and the cloud computing center being connected to a weather forecast platform, wherein the cloud computing central platform is used for receiving the self-adapting defrosting function enabling instructions and the current weather conditions sent by a user through the user terminal and inquiring the weather forecast platform through the cloud service center of the cloud computing central platform to acquire the current weather conditions, wherein the acquired current weather conditions comprise the real-time temperature, humidity, rain and snow conditions of the place where the cloud air conditioning is located; and the cloud service center is used for calling a cloud service application module of the cloud service center, acquiring the optimum defrosting scheme determined according to the current weather conditions and downloading the optimum defrosting scheme into the cloud air conditioning to defrost in a self-adapting way. Because the optimum defrosting scheme is determined according to the current weather conditions, the cloud air conditioning self-adapting defrosting system can defrost automatically and thoroughly when the outdoor condenser frosts and does not defrost when the outdoor condenser does not frosts so that the unnecessary energy consumption is avoided.
Description
Technical field
The present invention relates to household electrical appliance and automation field, relate in particular to a kind of cloud air-conditioning self adaptation defrosting system based on cloud computing, it can carry out defrost according to various places environment temperature, humidity and sleet condition adaptively heating under condition.
Background technology
All need to carry out automatic defrosting during existing air-conditioning heating operation under the condition of outdoor condenser frosting, its defrosting control generally gathers associated temperature by outdoor environment temperature sensor, outdoor condenser coil temperature sensor etc., then judge that by fixing software algorithm defrost enters and exit criteria, finally realize the defrost operation.Because there are larger difference in various places environment temperature, humidity and sleet condition etc., do not enter the situations such as the not thorough or frostless defrost of defrost, defrost in the time of may having frost when adopting the fixing defrost algorithm of same, can have a strong impact on like this air-conditioning in the comfortableness heated under condition; On the other hand, if still carry out defrost when frostless, can cause unnecessary energy consumption.
Along with the high speed development of computer networking technology, Digital Signal Processing and modern communication technology, the trend that computer, communication and household electrical appliance 3C merge is day by day obvious, has occurred the cloud air-conditioning based on Internet of Things and cloud computing center platform at present.The three-part interactive that the cloud air-conditioning can provide household appliances manufacturer and cloud air-conditioning, manufacturer and user, user and cloud air-conditioning with exchange.The user of air-conditioning production firm or mandate can customize the different application function of air-conditioning at any time, realize easily thus the cloud service functions such as air-conditioning software automatic updating, personalized temperature, humidity arrange, but they for self adaptation defrost fully pay close attention to, therefore be necessary to design a kind of new defrost scheme.
Summary of the invention
In view of this, the invention provides a kind of cloud air-conditioning self adaptation defrosting system based on cloud computing, it can carry out defrost according to various places environment temperature, humidity and sleet situation adaptively heating under condition.
For solving above technical problem, the invention provides a kind of cloud air-conditioning self adaptation defrosting system, be adapted to be connected to by communication network the cloud air-conditioning system of cloud computing center platform, comprise user terminal, described user terminal is connected to described cloud computing center platform by communication network, described cloud computing center platform is connected to the weather forecast platform, wherein: the enabled instruction of self adaptation defrosting function and current geography information that described cloud computing center platform sends by described user terminal for receiving the user; And, by the cloud service center inquiry weather forecast platform of described cloud computing center platform, obtaining current weather condition, the current weather condition obtained comprises cloud air-conditioning location real time temperature, humidity, sleet situation; And call its cloud service application module by described cloud service center, obtain the optimum defrost scheme of determining according to current weather condition; By described cloud service center, optimum defrost scheme is downloaded in the cloud air-conditioning afterwards, in order to carry out the self adaptation defrost.
More preferably, described user terminal is mobile internet device.
More preferably, described mobile internet device is mobile phone.
More preferably, described mobile internet device is panel computer.
More preferably, described cloud computing center platform comprises a plurality of Cloud Servers.
More preferably, described cloud air-conditioning is provided with embedded controller, for described cloud service center, optimum defrost scheme is downloaded to described embedded controller, so that the defrost of corresponding execution self adaptation.
More preferably, described embedded controller is provided with long-range functional module and the remote online software upgrading function module of arranging.
More preferably, described communication network is Internet of Things.
More preferably, described Internet of Things is wireless Internet of Things.
Compared with prior art, the present invention utilizes Internet of Things and cloud computing platform, can carry out adaptively defrost according to various places environment temperature, humidity and sleet situation, particularly: when frost is arranged, can carry out automatically, up hill and dale defrost, guarantee that air-conditioning is in the comfortableness heated under condition; When frostless, can not enter defrost, avoid thus unnecessary energy consumption.
The accompanying drawing explanation
Fig. 1 is the cloud air-conditioning network composition diagram of applicable self adaptation defrosting system of the present invention;
Fig. 2 is the composition frame chart of cloud air-conditioning self adaptation defrosting system of the present invention;
Fig. 3 is the process chart that the present invention is based on the cloud air-conditioning self adaptation defrosting system of cloud computing.
The specific embodiment
For ease of the embodiment of the present invention is described, first the decision condition of air-conditioning heating defrost and the basic principle of cloud computing are briefly explained.
The decision condition of so-called air-conditioning heating defrost, it generally is divided into and enters the defrost condition and exit the defrost condition.Enter the defrost critical parameter and be generally heating operation time T heat, coil temperature Tpipe, minimum heating operation time T min, coil temperature setting value Tset1 etc.; When meeting Tpipe<Tset1 and Theat > during Tmin, air-conditioning enters defrost.Exit the defrost critical parameter and be generally maximum defrost running time T max, coil temperature Tpipe, defrost running time T defrost, coil temperature setting value Tset2 etc.; When meeting defrost running time T defrost > Tmax or Tpipe > during Tset2, air-conditioning exits the defrost operation.Common air-conditioning is owing to adopting the design of same determinating mode, for different regions or different season and the sleet situations of areal, three number such as Tset1, Tset2, Tmax, Tmin is unique, its defrosting control scheme can't adapt with the specific environment conditions such as real time environment temperature, humidity and sleet of air-conditioning, thereby occur defrost not in time, the situation such as not thorough, the frostless defrost of defrost, cause comfort property poor.
So-called cloud computing, its basic principle is: by making Computation distribution on a large amount of distributed computers, but not, in local computer or remote server, the operation of enterprise data center will be more similar to internet.This makes the enterprise can be by resource switch to the application of needs, according to demand access computer and storage system.This is a kind of revolutionary behave, and this is like being the pattern of power plant's centrally connected power supply that turned to from ancient separate unit generator mode.It means that computing capability or computing capability also can be used as a kind of commodity and circulated, and just as coal gas, water power, takes conveniently, and expense is cheap.Maximum difference is, this computing capability or storage capacity are transmitted by internet.Like this, only need a notebook, a mobile phone or other terminal, just can realize all that the user needs by network service, even comprise the task that supercomputing is such.From this angle, the end user is the real owner of cloud computing.
Core concept of the present invention is, be intended to solve because current air-conditioning defrosting control scheme can't adapt with the specific environment conditions such as temperature, humidity and sleet of its operation, thereby occur defrost not in time, the problem of the situation such as not thorough, the frostless defrost of defrost, propose thus a kind of based on cloud computing, can be according to the cloud air-conditioner control system solution of carrying out the self adaptation defrost under the specific environment condition.
In order to make those skilled in the art understand better technical scheme of the present invention, below in conjunction with the drawings and specific embodiments, the present invention is described in further detail.
As shown in Figure 1, the network composition diagram that means the cloud air-conditioning system.This cloud air-conditioning system is a kind of cloud air-conditioning system with self adaptation defrosting function, it comprises that the cloud air-conditioning 4, cloud computing center platform 2, the user terminal that connect by communication network (being preferably wireless Internet of Things) 5 (are preferably Mobile Internet Devices, the Chinese name mobile internet device, be called for short MID equipment) 1, the part such as weather forecast platform 3, form thus a kind of cloud air-conditioning defrosting control system based on cloud computing technology.
Referring to Fig. 2, mean a preferred embodiment of cloud air-conditioning self adaptation defrosting system of the present invention.Wherein:
User terminal 1 can be mobile phone, panel computer etc., when the user confirms to need to start the self adaptation defrost, send self adaptation defrosting function order and the current geographic position information cloud service center to the cloud computing center platform by user terminal 1, in order to carry out follow-up self application defrost.
Described cloud computing center platform 2 is realized network interconnection with weather forecast platform 3, can inquire about at any time and feedback user ground of living in weather real-time condition, specifically comprises temperature, humidity, sleet situation etc.;
Described cloud computing center platform 2 consists of a plurality of Cloud Servers, and cloud service center 21 wherein has all kinds of cloud application modules 22, can determine the method for operation that air-conditioning is different by specific algorithm thus, and the optimum defrost scheme that meets local condition most is provided;
Described weather forecast platform 3 is convenience center, can provide various places real-time weather condition, reference while for cloud computing center platform 2, determining the defrost scheme;
Described cloud air-conditioning 4 is provided with intelligent embedded controller, starts the self adaptation defrost when receiving the defrost scheme.And this intelligence embedded controller has the functional modules such as long-range setting, remote online software upgrading, realize the functions such as the online upgrading of software and personalized customization under the condition of confirming the user by the cloud computing center platform.
As shown in Figure 2, the course of work of this cloud air-conditioning self adaptation defrosting system mainly comprises: the enabled instruction of self adaptation defrosting function and current geography information that 1. the cloud computing center platform sends for receiving the user; 2. by the cloud service center inquiry weather forecast platform of described cloud computing center platform, obtain current weather condition; 3. call its cloud service application module by described cloud service center, obtain the optimum defrost scheme of determining according to current weather condition; 4. by described cloud service center, optimum defrost scheme is downloaded in the cloud air-conditioning, in order to carry out the self adaptation defrost.
Like this, production firm or authorized user rely on cloud air-conditioning platform can realize the optimum self adaptation of defrosting control and local running environment, by the cloud service center, air-conditioning is realized online updating and the upgrading of software simultaneously, just can be guaranteed that the cloud air-conditioning adopts the defrosting control scheme of applicable local current environment.
Referring to Fig. 3, expression the present invention is based on the course of work of the cloud air-conditioning self adaptation defrosting system of cloud computing.This cloud air-conditioning self adaptation defrosting system utilizes the powerful cloud service center function of cloud computing center platform, has adopted self adaptation defrost pattern, and it is specifically carried out flow process and mainly comprises the following steps:
S301, cloud computing center platform receive the enabled instruction of self adaptation defrosting function and the current geography information that the user sends by user terminal.
When the cloud air conditioner user confirm to need starts the self adaptation defrost, send the order of self adaptation defrosting function and the current geographic position information cloud service center to the cloud computing center platform by user terminal, in order to carry out follow-up self application defrost.
The cloud service center inquiry weather forecast platform of S302, cloud computing center platform, obtain current weather condition.
The cloud service center of cloud computing center platform is from being dynamically connected the current current weather conditions such as weather forecast platform, inquiring user location real time temperature, humidity, sleet situation, in order to generate optimum defrost scheme by the cloud service application module.
Its cloud service application module is called at the cloud service center of S303, cloud computing center platform, obtains the optimum defrost scheme of determining according to current weather condition.
After its cloud service application module is called at the cloud service center, according to current weather condition, determine that the defrost that meets the local environment condition most enters decision condition, exits the parameters such as decision condition Tset1, Tset2, Tmax, Tmin.
Air-conditioning ambient air temperature of living in is on the low side, humidity is bigger than normal or during sleety weather, enter the corresponding minimizing of the maximum running time T min of decision condition, exiting the maximum defrost running time T of decision condition max increases, the corresponding adjustment of Tset1, Tset2 simultaneously, to have avoided the halfway situation of not defrost of frost or defrost.
If, when air-conditioning environment of living in is south or normal weather, respective opposed is adjusted above-mentioned parameter, avoid the situation of frostless defrost, with the power consumption that reduces air-conditioning and improve its comfortableness.
The optimum defrost scheme that the cloud service center of S304, cloud computing center platform will be determined according to current weather condition is downloaded to by network in the embedded controller of cloud air-conditioning, in order to this scheme of cloud air-conditioning, carries out the self adaptation defrost.
The cloud service center is downloaded to cloud air-conditioning embedded controller by network after generating self adaptation defrost mode; And, after cloud air-conditioning embedded controller obtains the defrost parameter that the cloud center provides, the operating scheme of the most applicable current environment condition provided by it is judged and is carried out defrost work.
Like this, the present invention utilizes Internet of Things and cloud computing platform, can carry out adaptively defrost according to various places environment temperature, humidity and sleet situation, particularly: when frost is arranged, can carry out automatically, defrost up hill and dale, guarantee that air-conditioning is in the comfortableness heated under condition; When frostless, can not enter defrost, avoid thus unnecessary energy consumption.
Be below only the preferred embodiment of the present invention, it should be pointed out that above-mentioned preferred embodiment should not be considered as limitation of the present invention, protection scope of the present invention should be as the criterion with the claim limited range.For those skilled in the art, without departing from the spirit and scope of the present invention, can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (9)
1. a cloud air-conditioning self adaptation defrosting system, be adapted to be connected to by communication network the cloud air-conditioning system of cloud computing center platform, it is characterized in that, comprise user terminal, described user terminal is connected to described cloud computing center platform by communication network, described cloud computing center platform is connected to the weather forecast platform, wherein: the enabled instruction of self adaptation defrosting function and current geography information that described cloud computing center platform sends by described user terminal for receiving the user; And, by the cloud service center inquiry weather forecast platform of described cloud computing center platform, obtaining current weather condition, the current weather condition obtained comprises cloud air-conditioning location real time temperature, humidity, sleet situation; And call its cloud service application module by described cloud service center, obtain the optimum defrost scheme of determining according to current weather condition; By described cloud service center, optimum defrost scheme is downloaded in the cloud air-conditioning afterwards, in order to carry out the self adaptation defrost;
2. cloud air-conditioning self adaptation defrosting system as claimed in claim 1, is characterized in that, described user terminal is mobile internet device.
3. cloud air-conditioning self adaptation defrosting system as claimed in claim 2, is characterized in that, described mobile internet device is mobile phone.
4. cloud air-conditioning self adaptation defrosting system as claimed in claim 2, is characterized in that, described mobile internet device is panel computer.
5. cloud air-conditioning self adaptation defrosting system as claimed in claim 1, is characterized in that, described cloud computing center platform comprises a plurality of Cloud Servers.
6. cloud air-conditioning self adaptation defrosting system as claimed in claim 1, it is characterized in that, described cloud air-conditioning is provided with embedded controller, for described cloud service center, optimum defrost scheme is downloaded to described embedded controller, so that the defrost of corresponding execution self adaptation.
7. cloud air-conditioning self adaptation defrosting system as claimed in claim 6, is characterized in that, described embedded controller is provided with long-range functional module and the remote online software upgrading function module of arranging.
8. cloud air-conditioning self adaptation defrosting system as described as claim 1～7 any one, is characterized in that, described communication network is Internet of Things.
9. cloud air-conditioning self adaptation defrosting system as claimed in claim 8, is characterized in that, described Internet of Things is wireless Internet of Things.
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| CN2012103222298A CN102829527B (en) | 2012-03-20 | 2012-09-03 | Cloud air conditioning self-adaptive defrosting system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103123159B (en) * | 2013-01-24 | 2014-12-10 | 广东志高空调有限公司 | Air conditioner sleeping function control method based on cloud computing technology |
| CN103234254B (en) * | 2013-04-12 | 2016-08-10 | 惠州Tcl家电集团有限公司 | Method, air-conditioning and the server of heat pump performance parameter optimization based on server |
| CN104833060B (en) * | 2015-05-22 | 2017-10-31 | 广东美的暖通设备有限公司 | the defrosting control method and defrosting control device of air conditioner |
| CN104864569B (en) * | 2015-05-28 | 2018-01-30 | 特灵空调系统(中国)有限公司 | Air conditioner and its ponding or snow detection method |
| CN105183050B (en) * | 2015-09-02 | 2017-04-05 | 云南中科物联网科技有限公司 | A kind of smart city environmental management technique and system based on Internet of Things |
| CN105972771A (en) * | 2016-05-30 | 2016-09-28 | 广东美的制冷设备有限公司 | Defrosting control method and device for air conditioner |
| CN106091506B (en) * | 2016-06-02 | 2018-12-04 | 珠海格力电器股份有限公司 | Air-conditioning antifrost method and system |
| CN106354527A (en) * | 2016-08-17 | 2017-01-25 | 合肥海尔空调器有限公司 | Method for air-conditioner software online updating, controlling device and air-conditioners |
| CN108955003B (en) * | 2018-03-25 | 2021-03-26 | 佛山光腾新能源股份有限公司 | Heat pump control system based on Internet of things and weather forecast control |
| CN110410939B (en) * | 2019-08-09 | 2021-01-26 | 宁波奥克斯电气股份有限公司 | Control method and system for defrosting of air conditioner external unit and air conditioner |
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| JP2009210161A (en) * | 2008-02-29 | 2009-09-17 | Sanyo Electric Co Ltd | Equipment control system, control device, and control program |
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