CN105605840A - Intelligent defrosting method with learning function - Google Patents
Intelligent defrosting method with learning function Download PDFInfo
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- CN105605840A CN105605840A CN201610072333.4A CN201610072333A CN105605840A CN 105605840 A CN105605840 A CN 105605840A CN 201610072333 A CN201610072333 A CN 201610072333A CN 105605840 A CN105605840 A CN 105605840A
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- defrosting
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- initial default
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25B—REFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
- F25B47/00—Arrangements for preventing or removing deposits or corrosion, not provided for in another subclass
- F25B47/02—Defrosting cycles
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25B—REFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
- F25B49/00—Arrangement or mounting of control or safety devices
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- Physics & Mathematics (AREA)
- Mechanical Engineering (AREA)
- Thermal Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Defrosting Systems (AREA)
Abstract
The invention relates to an intelligent defrosting method with a learning function. The defrosting mode is started when the following conditions are satisfied: condition 1: (1) the difference between the outside temperature (OT) and coil temperature (CT) is greater than or equal to the initial default temperature (A), and (2) the coil temperature (CT) is less than or equal to -2 DEG C; and condition 2: the accumulative time of (2) in the condition 1 reaches the defrosting initial default time (B). The adjustment scheme for operating the defrosting condition 1 is as follows: (1) when the defrosting time is shorter than 3 minutes, 1-3 DEG C is increased to the initial default temperature (A) in the next operating period; (2) when the defrosting time is 3-5 minutes, the initial default temperature (A) is maintained in the next operating period; and (3) when the defrosting time exceeds 5 minutes, 1-3 DEG C is subtracted from the initial default temperature (A) in the next operating period. The adjustment scheme for operating the defrosting condition 2 is as follows: (1) when the defrosting time is shorter than 3 minutes, and 20-40 minutes are added to the initial default time (B) in the next operating period; (2) when the defrosting time is 3-5 minutes, the initial default time (B) is maintained in the next operating period; and (3) when the defrosting time exceeds 5 minutes, 20-40 minutes are subtracted from the initial default time (B) in the next operating period.
Description
Technical field
The present invention relates to a kind of intelligent defrosting method with learning functionality.
Background technology
When heat pump air conditioner moves in the winter time, when temperature is spent lower than 10, outdoor heat exchanger will frosting. KnotTo a certain extent, the operational efficiency of heat pump air conditioner will decline frost, now just need to do Defrost operation.The early stage time defrosting method that adopts is exactly that heat pump air conditioner operation is when heating time cumulation and reaching a regulationBetween, enter Defrost operation. This Defrost method is bound to occur the situation of frostless defrosting, but notThere will be the phenomenon that has frost not remove.
Developing into afterwards the two-parameter Defrost method that temperature adds the time, is exactly on the basis of time defrostingAdd outdoor heat exchange actuator temperature and judge whether to enter defrosting. This defrosting elementary solution time defrosting of determiningThe problem of frostless defrosting, but for the difference of individual different and outdoor temperature and humidity,Still there is a small amount of heat pump air conditioner can produce defrosting deviation, be mainly reflected in 2 extremely: 1 extremeBe frostless or few frost defrosting, another 1 is extremely not defrost. As the heat pump air conditioner of installing away occursAbove-mentioned extreme defrosting deviation, the way of dealing with problems is that technical staff arrives the on-the-spot defrosting of adjusting.
Summary of the invention
Object of the present invention is exactly for fear of the weak point in background technology, and a kind of band study is providedThe intelligent defrosting method of function.
For achieving the above object, the present invention adopts following technical scheme: a kind of intelligence with learning functionalityDefrost method,
1) enter the condition of defrosting as follows:
Condition one: (1) outdoor temperature (OT)-coil temperature (CT) >=initial default temperature (A);
(2) coil temperature (CT)≤-2 DEG C;
Condition two: (2) cumulative time satisfying condition in one reaches defrosting initial default time (B);
Satisfy condition one or condition two enter defrosting mode;
2) defrosting exit criteria: coil temperature (CT) >=25 DEG C;
3) parameter initial default temperature (A) or defrosting the initial default time (B) automatic adjustment scheme asUnder:
A) meet that to enter the adjustment scheme of defrosting condition one as follows:
(1) defrosting time is shorter than 3 minutes, judges accordingly frostless or frosting is very few, moves at the next oneInitial default temperature (A) is added 1 DEG C-3 DEG C by cycle;
(2) defrosting time is in 3-5 minute, and initial default temperature (A) is reasonably, next fortuneLine period will keep initial default temperature (A);
(3) defrosting time exceedes 5 minutes, judges that accordingly frosting is too much, at the beginning of inciting somebody to action in the next cycle of operationBeginning default temperature (A) subtracts 1 DEG C-3 DEG C;
B) meet that to enter the adjustment scheme of defrosting condition two as follows:
(1) defrosting time is shorter than 3 minutes, judges accordingly frostless or frosting is very few, moves at the next oneThe initial default time (B) is added 20-40 minute by cycle;
(2) defrosting time is in 3-5 minute, and the initial default time (B) is reasonably, next fortuneLine period will keep the initial default time (B);
(3) defrosting time exceedes 5 minutes, judges that accordingly frosting is too much, at the beginning of inciting somebody to action in the next cycle of operationBeginning default time (B) subtracts 20-40 minute.
For a kind of optimization of the present invention, the described intelligent defrosting method with learning functionality,
1) enter the condition of defrosting as follows:
Condition one: (1) outdoor temperature (OT)-coil temperature (CT) >=initial default temperature (A);
(2) coil temperature (CT)≤-2 DEG C;
Condition two: (2) cumulative time satisfying condition in one reaches defrosting initial default time (B);
Satisfy condition one or condition two enter defrosting mode;
2) defrosting exit criteria: coil temperature (CT) >=25 DEG C;
3) parameter initial default temperature (A) or defrosting the initial default time (B) automatic adjustment scheme asUnder:
A) meet that to enter the adjustment scheme of defrosting condition one as follows:
(1) defrosting time is shorter than 3 minutes, judges accordingly frostless or frosting is very few, moves at the next oneInitial default temperature (A) is added 1 DEG C by cycle;
(2) defrosting time is in 3-5 minute, and initial default temperature (A) is reasonably, next fortuneLine period will keep initial default temperature (A);
(3) defrosting time exceedes 5 minutes, judges that accordingly frosting is too much, at the beginning of inciting somebody to action in the next cycle of operationBeginning default temperature (A) subtracts 1 DEG C;
B) meet that to enter the adjustment scheme of defrosting condition two as follows:
(1) defrosting time is shorter than 3 minutes, judges accordingly frostless or frosting is very few, moves at the next oneThe initial default time (B) is added 30 minutes by cycle;
(2) defrosting time is in 3-5 minute, and the initial default time (B) is reasonably, next fortuneLine period will keep the initial default time (B);
(3) defrosting time exceedes 5 minutes, judges that accordingly frosting is too much, at the beginning of inciting somebody to action in the next cycle of operationBeginning default time (B) subtracts 10 minutes.
The present invention, compared with background technology, has Based Intelligent Control, and intervening without the artificial later stage can be certainlyRow is adjusted defrosting time and defrosting temperature; Poor when the natural environmental condition of air-conditioner outdoor unit operation, leadCause frosting ice formation issues when serious, control voluntarily and adjust defrosting time and defrosting temperature, thereby effectively changeKind defrosting effect, and then the heating performance of raising air-conditioner.
Detailed description of the invention
Embodiment 1: a kind of intelligent defrosting method with learning functionality,
1) enter the condition of defrosting as follows:
Condition one: (1) outdoor temperature (OT)-coil temperature (CT) >=initial default temperature (A);
(2) coil temperature (CT)≤-2 DEG C;
Condition two: (2) cumulative time satisfying condition in one reaches defrosting initial default time (B);
Satisfy condition one or condition two enter defrosting mode;
2) defrosting exit criteria: coil temperature (CT) >=25 DEG C;
3) parameter initial default temperature (A) or defrosting the initial default time (B) automatic adjustment scheme asUnder:
A) meet that to enter the adjustment scheme of defrosting condition one as follows:
(1) defrosting time is shorter than 3 minutes, judges accordingly frostless or frosting is very few, moves at the next oneInitial default temperature (A) is added 1 DEG C-3 DEG C by cycle;
(2) defrosting time is in 3-5 minute, and initial default temperature (A) is reasonably, next fortuneLine period will keep initial default temperature (A);
(3) defrosting time exceedes 5 minutes, judges that accordingly frosting is too much, at the beginning of inciting somebody to action in the next cycle of operationBeginning default temperature (A) subtracts 1 DEG C-3 DEG C;
B) meet that to enter the adjustment scheme of defrosting condition two as follows:
(1) defrosting time is shorter than 3 minutes, judges accordingly frostless or frosting is very few, moves at the next oneThe initial default time (B) is added 20-40 minute by cycle;
(2) defrosting time is in 3-5 minute, and the initial default time (B) is reasonably, next fortuneLine period will keep the initial default time (B);
(3) defrosting time exceedes 5 minutes, judges that accordingly frosting is too much, at the beginning of inciting somebody to action in the next cycle of operationBeginning default time (B) subtracts 20-40 minute.
Embodiment 2: on the basis of embodiment 1, the described intelligent defrosting method with learning functionality,1) enter the condition of defrosting as follows:
Condition one: (1) outdoor temperature (OT)-coil temperature (CT) >=initial default temperature (A);
(2) coil temperature (CT)≤-2 DEG C;
Condition two: (2) cumulative time satisfying condition in one reaches defrosting initial default time (B);
Satisfy condition one or condition two enter defrosting mode;
2) defrosting exit criteria: coil temperature (CT) >=25 DEG C;
3) parameter initial default temperature (A) or defrosting the initial default time (B) automatic adjustment scheme asUnder:
A) meet that to enter the adjustment scheme of defrosting condition one as follows:
(1) defrosting time is shorter than 3 minutes, judges accordingly frostless or frosting is very few, moves at the next oneInitial default temperature (A) is added 1 DEG C by cycle;
(2) defrosting time is in 3-5 minute, and initial default temperature (A) is reasonably, next fortuneLine period will keep initial default temperature (A);
(3) defrosting time exceedes 5 minutes, judges that accordingly frosting is too much, at the beginning of inciting somebody to action in the next cycle of operationBeginning default temperature (A) subtracts 1 DEG C;
B) meet that to enter the adjustment scheme of defrosting condition two as follows:
(1) defrosting time is shorter than 3 minutes, judges accordingly frostless or frosting is very few, moves at the next oneThe initial default time (B) is added 30 minutes by cycle;
(2) defrosting time is in 3-5 minute, and the initial default time (B) is reasonably, next fortuneLine period will keep the initial default time (B);
(3) defrosting time exceedes 5 minutes, judges that accordingly frosting is too much, at the beginning of inciting somebody to action in the next cycle of operationBeginning default time (B) subtracts 10 minutes.
Defrosting time definition: refer to from meeting defrosting entry condition to meeting the time of defrosting and exiting. OriginallyThe difference of the different and outdoor temperature and humidity of heat pump air conditioner individuality, causes some machine showingInitial default temperature (A) and initial default time (B) are adjusted in field, and band study described in present patent applicationThe intelligent defrosting method of function is automatically to revise and to adjust initial default temperature according to setting programAnd the initial default time (B) (A).
It is to be understood that: although the present embodiment to the present invention's detailed explanation of contrasting,These explanations, just to simple declaration of the present invention, instead of limitation of the present invention, any not superGo out the innovation and creation in connotation of the present invention, all fall into protection scope of the present invention.
Claims (2)
1. the intelligent defrosting method with learning functionality, is characterized in that:
1) enter the condition of defrosting as follows:
Condition one: (1) outdoor temperature (OT)-coil temperature (CT) >=initial default temperature (A);
(2) coil temperature (CT)≤-2 DEG C;
Condition two: (2) cumulative time satisfying condition in one reaches defrosting initial default time (B);
Satisfy condition one or condition two enter defrosting mode;
2) defrosting exit criteria: coil temperature (CT) >=25 DEG C;
3) parameter initial default temperature (A) or defrosting the initial default time (B) automatic adjustment scheme asUnder:
A) meet that to enter the adjustment scheme of defrosting condition one as follows:
(1) defrosting time is shorter than 3 minutes, judges accordingly frostless or frosting is very few, moves at the next oneInitial default temperature (A) is added 1 DEG C-3 DEG C by cycle;
(2) defrosting time is in 3-5 minute, and initial default temperature (A) is reasonably, next fortuneLine period will keep initial default temperature (A);
(3) defrosting time exceedes 5 minutes, judges that accordingly frosting is too much, at the beginning of inciting somebody to action in the next cycle of operationBeginning default temperature (A) subtracts 1 DEG C-3 DEG C;
B) meet that to enter the adjustment scheme of defrosting condition two as follows:
(1) defrosting time is shorter than 3 minutes, judges accordingly frostless or frosting is very few, moves at the next oneThe initial default time (B) is added 20-40 minute by cycle;
(2) defrosting time is in 3-5 minute, and the initial default time (B) is reasonably, next fortuneLine period will keep the initial default time (B);
(3) defrosting time exceedes 5 minutes, judges that accordingly frosting is too much, at the beginning of inciting somebody to action in the next cycle of operationBeginning default time (B) subtracts 20-40 minute.
2. the intelligent defrosting method with learning functionality according to claim 1, is characterized in that:
4) enter the condition of defrosting as follows:
Condition one: (1) outdoor temperature (OT)-coil temperature (CT) >=initial default temperature (A);
(2) coil temperature (CT)≤-2 DEG C;
Condition two: (2) cumulative time satisfying condition in one reaches defrosting initial default time (B);
Satisfy condition one or condition two enter defrosting mode;
5) defrosting exit criteria: coil temperature (CT) >=25 DEG C;
6) parameter initial default temperature (A) or defrosting the initial default time (B) automatic adjustment scheme asUnder:
A) meet that to enter the adjustment scheme of defrosting condition one as follows:
(1) defrosting time is shorter than 3 minutes, judges accordingly frostless or frosting is very few, moves at the next oneInitial default temperature (A) is added 1 DEG C by cycle;
(2) defrosting time is in 3-5 minute, and initial default temperature (A) is reasonably, next fortuneLine period will keep initial default temperature (A);
(3) defrosting time exceedes 5 minutes, judges that accordingly frosting is too much, at the beginning of inciting somebody to action in the next cycle of operationBeginning default temperature (A) subtracts 1 DEG C;
B) meet that to enter the adjustment scheme of defrosting condition two as follows:
(1) defrosting time is shorter than 3 minutes, judges accordingly frostless or frosting is very few, moves at the next oneThe initial default time (B) is added 30 minutes by cycle;
(2) defrosting time is in 3-5 minute, and the initial default time (B) is reasonably, next fortuneLine period will keep the initial default time (B);
(3) defrosting time exceedes 5 minutes, judges that accordingly frosting is too much, at the beginning of inciting somebody to action in the next cycle of operationBeginning default time (B) subtracts 10 minutes.
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Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106322648A (en) * | 2016-08-18 | 2017-01-11 | 深圳市深蓝电子股份有限公司 | Self-adaption defrosting method of air-cooled heat pump unit |
| CN106369759A (en) * | 2016-09-29 | 2017-02-01 | 广东美的制冷设备有限公司 | Defrosting control method, controller and air conditioner |
| CN107842970A (en) * | 2017-10-18 | 2018-03-27 | 广东美的暖通设备有限公司 | Air-conditioning system and its defrosting control method and device |
| CN109059191A (en) * | 2018-06-15 | 2018-12-21 | 广东美的暖通设备有限公司 | Defrosting control method, temperature control equipment and computer readable storage medium |
| CN109269016A (en) * | 2018-08-02 | 2019-01-25 | 珠海格力电器股份有限公司 | Defrosting control method and device and heat pump unit |
| CN109780683A (en) * | 2019-01-24 | 2019-05-21 | 青岛海尔空调电子有限公司 | A kind of air conditioning control method, device and air-conditioning |
| CN110131836A (en) * | 2018-02-09 | 2019-08-16 | 开利公司 | Defrosting control method and heat pump system |
| CN110454911A (en) * | 2019-07-31 | 2019-11-15 | 广东西屋康达空调有限公司 | A kind of intelligent defrosting control method of air conditioner, system and air conditioner |
| CN111678280A (en) * | 2020-06-24 | 2020-09-18 | 西安建筑科技大学 | Frost control method based on fuzzy partition frosting map |
| CN111895600A (en) * | 2019-05-06 | 2020-11-06 | 青岛海尔空调器有限总公司 | Control method and device for defrosting of air conditioner and air conditioner |
| CN111895595A (en) * | 2019-05-06 | 2020-11-06 | 青岛海尔空调器有限总公司 | Control method and device for defrosting of air conditioner and air conditioner |
| CN111895599A (en) * | 2019-05-06 | 2020-11-06 | 青岛海尔空调器有限总公司 | Control method and device for defrosting of air conditioner and air conditioner |
| CN111895592A (en) * | 2019-05-06 | 2020-11-06 | 青岛海尔空调器有限总公司 | Control method and device for defrosting of air conditioner and air conditioner |
| CN111895602A (en) * | 2019-05-06 | 2020-11-06 | 青岛海尔空调器有限总公司 | Control method and device for defrosting of air conditioner and air conditioner |
| CN111895596A (en) * | 2019-05-06 | 2020-11-06 | 青岛海尔空调器有限总公司 | Control method and device for defrosting of air conditioner and air conditioner |
| CN111895597A (en) * | 2019-05-06 | 2020-11-06 | 青岛海尔空调器有限总公司 | Control method and device for defrosting of air conditioner and air conditioner |
| CN113375288A (en) * | 2021-05-14 | 2021-09-10 | 青岛海尔空调电子有限公司 | Defrosting control method for air conditioning unit |
| CN114294786A (en) * | 2021-12-31 | 2022-04-08 | 上海儒竞智控技术有限公司 | Optimization method, system, medium and terminal for defrosting entry conditions of air conditioner |
| CN114659235A (en) * | 2022-04-13 | 2022-06-24 | 四川长虹空调有限公司 | Method for automatically adjusting defrosting entry condition of air conditioning system |
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| CN106322648A (en) * | 2016-08-18 | 2017-01-11 | 深圳市深蓝电子股份有限公司 | Self-adaption defrosting method of air-cooled heat pump unit |
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| CN110131836A (en) * | 2018-02-09 | 2019-08-16 | 开利公司 | Defrosting control method and heat pump system |
| CN110131836B (en) * | 2018-02-09 | 2022-03-15 | 开利公司 | Defrosting control method and heat pump system |
| CN109059191A (en) * | 2018-06-15 | 2018-12-21 | 广东美的暖通设备有限公司 | Defrosting control method, temperature control equipment and computer readable storage medium |
| CN109269016A (en) * | 2018-08-02 | 2019-01-25 | 珠海格力电器股份有限公司 | Defrosting control method and device and heat pump unit |
| CN109780683B (en) * | 2019-01-24 | 2022-02-18 | 青岛海尔空调电子有限公司 | Air conditioner control method and device and air conditioner |
| CN109780683A (en) * | 2019-01-24 | 2019-05-21 | 青岛海尔空调电子有限公司 | A kind of air conditioning control method, device and air-conditioning |
| CN111895602B (en) * | 2019-05-06 | 2021-12-21 | 重庆海尔空调器有限公司 | Control method and device for defrosting of air conditioner and air conditioner |
| CN111895592A (en) * | 2019-05-06 | 2020-11-06 | 青岛海尔空调器有限总公司 | Control method and device for defrosting of air conditioner and air conditioner |
| CN111895595A (en) * | 2019-05-06 | 2020-11-06 | 青岛海尔空调器有限总公司 | Control method and device for defrosting of air conditioner and air conditioner |
| CN111895597B (en) * | 2019-05-06 | 2022-07-19 | 武汉海尔电器股份有限公司 | Control method and device for defrosting of air conditioner and air conditioner |
| CN111895596A (en) * | 2019-05-06 | 2020-11-06 | 青岛海尔空调器有限总公司 | Control method and device for defrosting of air conditioner and air conditioner |
| CN111895597A (en) * | 2019-05-06 | 2020-11-06 | 青岛海尔空调器有限总公司 | Control method and device for defrosting of air conditioner and air conditioner |
| CN111895592B (en) * | 2019-05-06 | 2022-06-14 | 青岛海尔空调器有限总公司 | Control method and device for defrosting of air conditioner and air conditioner |
| CN111895600A (en) * | 2019-05-06 | 2020-11-06 | 青岛海尔空调器有限总公司 | Control method and device for defrosting of air conditioner and air conditioner |
| CN111895596B (en) * | 2019-05-06 | 2022-06-10 | 青岛海尔空调器有限总公司 | Control method and device for defrosting of air conditioner and air conditioner |
| CN111895599A (en) * | 2019-05-06 | 2020-11-06 | 青岛海尔空调器有限总公司 | Control method and device for defrosting of air conditioner and air conditioner |
| CN111895602A (en) * | 2019-05-06 | 2020-11-06 | 青岛海尔空调器有限总公司 | Control method and device for defrosting of air conditioner and air conditioner |
| CN111895595B (en) * | 2019-05-06 | 2022-05-31 | 青岛海尔空调器有限总公司 | Control method and device for defrosting of air conditioner and air conditioner |
| CN110454911A (en) * | 2019-07-31 | 2019-11-15 | 广东西屋康达空调有限公司 | A kind of intelligent defrosting control method of air conditioner, system and air conditioner |
| CN111678280A (en) * | 2020-06-24 | 2020-09-18 | 西安建筑科技大学 | Frost control method based on fuzzy partition frosting map |
| CN113375288A (en) * | 2021-05-14 | 2021-09-10 | 青岛海尔空调电子有限公司 | Defrosting control method for air conditioning unit |
| CN114294786B (en) * | 2021-12-31 | 2023-03-14 | 上海儒竞智控技术有限公司 | Optimization method, system, medium and terminal for defrosting entry conditions of air conditioner |
| CN114294786A (en) * | 2021-12-31 | 2022-04-08 | 上海儒竞智控技术有限公司 | Optimization method, system, medium and terminal for defrosting entry conditions of air conditioner |
| CN114659235A (en) * | 2022-04-13 | 2022-06-24 | 四川长虹空调有限公司 | Method for automatically adjusting defrosting entry condition of air conditioning system |
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