CN116989429B - Central air conditioning system energy saving method and system based on intelligent control - Google Patents
Central air conditioning system energy saving method and system based on intelligent control Download PDFInfo
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- CN116989429B CN116989429B CN202311239219.2A CN202311239219A CN116989429B CN 116989429 B CN116989429 B CN 116989429B CN 202311239219 A CN202311239219 A CN 202311239219A CN 116989429 B CN116989429 B CN 116989429B
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- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000004378 air conditioning Methods 0.000 title claims abstract description 26
- 230000008859 change Effects 0.000 claims description 20
- 230000006399 behavior Effects 0.000 claims description 16
- 238000010438 heat treatment Methods 0.000 claims description 7
- 238000012423 maintenance Methods 0.000 claims description 6
- 238000005070 sampling Methods 0.000 claims description 6
- 238000012790 confirmation Methods 0.000 claims description 5
- 238000001816 cooling Methods 0.000 claims description 4
- 238000004590 computer program Methods 0.000 claims description 2
- 238000005265 energy consumption Methods 0.000 abstract description 11
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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
- F24F11/46—Improving electric energy efficiency or saving
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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
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
-
- 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
-
- 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
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
- F24F11/86—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling compressors within refrigeration or heat pump circuits
-
- 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
- F24F11/88—Electrical aspects, e.g. circuits
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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
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
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- Engineering & Computer Science (AREA)
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- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- Human Computer Interaction (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Thermal Sciences (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The application discloses an intelligent control-based central air conditioning system energy saving method and system, comprising the following steps: setting a temperature control association initialization trigger instruction, and establishing a user database for recording temperature control behavior information of a user on each room; when a temperature control association initialization trigger instruction is received, a preset multi-room association temperature regulation relation filling request is output, feedback is received, and historical data in a user database are deleted; establishing a central air conditioner personalized control logic according to the multi-room association temperature regulation relation data obtained through feedback; and when the data amount in the user database reaches the preset user personalized prediction condition, predicting the use behavior of the user air conditioner based on the data in the user database, and modifying the multi-room association temperature regulation relation data. The application has the effects of improving the energy consumption utilization rate of the household central air conditioner and saving more energy in use.
Description
Technical Field
The application relates to the technical field of central air conditioners, in particular to an intelligent control-based energy-saving method and system for a central air conditioning system.
Background
Central air conditioners are popular with more and more people because of attractive appearance and integration of external machines, so that the central air conditioner has more and more application in the household environment.
However, the central air conditioner is popular as a 'one-to-three, four, five and the like', the full utilization rate is more energy-saving when in use, and the electricity is obviously more expensive when the living room or the room is opened for use, because the lowest power consumption is high, and the opening of one internal machine is probably equivalent to two common on-hook air conditioners.
At present, high household power consumption in most scenes of the central air conditioner has become an important factor for restricting the market share of the central air conditioner, related manufacturers have the functions of reducing the power consumption by improving the power consumption of a compressor of the central air conditioner, and the inventor considers that: the existing central air conditioner energy consumption control has less application scene consideration, and neglects the influence of household use demand scenes on energy consumption.
Disclosure of Invention
In order to improve the energy consumption utilization rate of the household central air conditioner, the application provides an intelligent control-based central air conditioner system energy saving method and system.
In a first aspect, the present application provides an intelligent control-based energy saving method for a central air conditioning system, which adopts the following technical scheme:
an intelligent control-based energy-saving method for a central air conditioning system, comprising the following steps:
setting a temperature control association initialization trigger instruction, and establishing a user database for recording temperature control behavior information of a user on each room;
when a temperature control association initialization trigger instruction is received, a preset multi-room association temperature regulation relation filling request is output, feedback is received, and historical data in a user database are deleted;
establishing a central air conditioner personalized control logic according to the multi-room association temperature regulation relation data obtained through feedback; the method comprises the steps of,
when the data amount in the user database reaches the preset user personalized prediction condition, predicting the use behavior of the user air conditioner based on the data in the user database, and modifying the multi-room association temperature regulation relation data;
wherein, the central air conditioning individuation control logic, it includes:
when the air conditioner of one room is started, acquiring the room number and the set temperature of the active temperature control, and timing;
when the timing exceeds a preset first time threshold value and the feedback of the central air conditioner after active temperature control reaches a preset associated temperature regulation condition, searching multi-room associated temperature regulation relation data, obtaining other currently associated room numbers, and carrying out associated temperature regulation on rooms corresponding to the other room numbers.
Optionally, the feedback of the central air conditioner after active temperature control reaches a preset associated temperature adjustment condition, which includes:
the real-time temperature of the room reaches the current set temperature at least once; the method comprises the steps of,
the compressor power change frequency of the central air conditioner is larger than a preset high-frequency threshold value.
Optionally, when the central air conditioner is marked as a fixed-frequency air conditioner, respectively recording the time duration t1 and the time duration t2 of the last start-stop interval after the first stop of the compressor; and calculating the power change frequency of the compressor according to the start-stop interval time t1 and the start-up time t 2.
Optionally, when the central air conditioner is marked as a variable frequency air conditioner, recording the power change of the compressor;
according to the power change record of the compressor, the maintenance time length t3 after the power rise of the past time and the interval time length t4 of the power rise of the past time are obtained;
and calculating the power change frequency of the compressor according to the maintenance time t3 and the interval time t4 after the power is increased.
Optionally, the performing the association temperature adjustment on rooms corresponding to other room numbers includes: target temperature of the room corresponding to the other room number=set temperature of the active temperature control ± buffer temperature difference, wherein ± is determined for heating/cooling according to the active temperature control.
Optionally, the central air conditioner personalized control logic further includes:
receiving the active time period setting of the user on each room number, and generating a temperature regulation demand time period of each room; the method comprises the steps of,
if the current room is in the non-attemperation demand period, the associated attemperation of the room is stopped.
Optionally, the predicting the usage behavior of the user air conditioner based on the data in the user database includes: and importing the historical data into a preset prediction model to predict the number of the room which needs to be opened by the next time the user is at home.
Optionally, the predicting the usage behavior of the user air conditioner based on the data in the user database includes:
receiving a user instruction, and defining a sampling period T of a prediction sample;
the historical data of the previous sampling period T in the user database is called as sample data;
counting the occurrence frequency of other rooms which are subjected to temperature regulation control next after the current room is actively temperature-controlled in the sample data;
if the frequency of occurrence of one other room is highest, the room is related to the room with the current active temperature control; the method comprises the steps of,
if the frequency of the occurrence of the plurality of other rooms is the same and highest, the room numbers of the corresponding plurality of rooms are output as the associated confirmation request confirmation information, and user selection feedback is received, so that a prediction result is obtained.
In a second aspect, the application provides an intelligent control-based energy-saving system of a central air conditioning system, which adopts the following technical scheme:
an intelligent control-based central air conditioning system energy saving system comprises a memory and a processor, wherein the memory is stored with a computer program which can be loaded by the processor and execute any intelligent control-based central air conditioning system energy saving method.
In summary, the present application includes at least one of the following beneficial technical effects: when a user opens the air conditioner refrigerating/heating of a certain room, the initial stage of the central air conditioner is to perform quick temperature adjustment for the room to meet the temperature adjustment requirement and experience of the user, but after a period of use, when the feedback of the central air conditioner reaches the preset associated temperature adjustment condition, the central air conditioner can also utilize surplus and available power consumption to perform temperature adjustment and control on other associated rooms in advance, so that the energy consumption caused by the fact that the other rooms are required to be cooled/heated after being opened is reduced, and more comfortable household experience is provided for the user.
Drawings
Fig. 1 is a schematic flow chart of the present application.
Detailed Description
The present application will be described in further detail with reference to fig. 1.
The embodiment of the application discloses an intelligent control-based central air conditioning system energy saving method which can be implemented through a central air conditioning host.
Referring to fig. 1, the intelligent control-based central air conditioning system energy saving method includes:
the preparation steps are as follows: and setting a temperature control association initialization trigger instruction, and establishing a user database for recording temperature control behavior information of the user on each room.
The temperature control associated initialization trigger instruction refers to initializing logic for controlling the temperature linkage of a plurality of rooms, and may be an instruction matched with signals output when one or more keys on a switch panel and a controller of a central air conditioner are pressed simultaneously, which is set by a manufacturer. The temperature control behavior information includes: the set temperature and the air conditioner on and off time are used for analyzing the air conditioner using habit of the user subsequently. The storage rule of the user database can be similar to the coverage type of the automobile data recorder, namely, after the data are fully stored, the data with the longest new data coverage time are stored.
The specific implementation steps are as follows:
when a temperature control association initialization trigger instruction is received, a preset multi-room association temperature regulation relation filling request is output, feedback is received, and historical data in a user database are deleted.
Wherein, the request can be output in the form of a table and displayed on a display interacted with by a user, each room (a switch panel in the room) is matched with one number, and the user fills out a plurality of numbers in the same row, namely, the rooms corresponding to the numbers are associated.
It can be understood that the temperature control association initialization trigger instruction is used for transition in the process of accumulating user data in the initial stage of each use period of the central air conditioner when the central air conditioner is used for the first time or the user considers that the existing multi-room association temperature regulation relationship does not match the own use habit.
And then, establishing a central air conditioner personalized control logic according to the multi-room association temperature regulation relation data obtained through feedback. Wherein, central air conditioning individuation control logic includes:
when the air conditioner of one room is started, acquiring the room number and the set temperature of the active temperature control, and timing;
when the timing exceeds a preset first time threshold (5-10 min), and the feedback of the central air conditioner after active temperature control reaches a preset associated temperature regulation condition, searching multi-room associated temperature regulation relation data, obtaining other currently associated room numbers, and carrying out associated temperature regulation on rooms corresponding to the other room numbers.
And then, when the data quantity in the user database reaches the preset user personalized prediction condition, predicting the use behavior of the user air conditioner based on the data in the user database, and modifying the multi-room association temperature regulation relation data.
According to the arrangement, when a user opens the air conditioner for refrigerating/heating a certain room, the initial stage of the central air conditioner is to perform quick temperature adjustment for the room to meet the temperature adjustment requirement and experience of the user, but after a period of use, when the feedback of the central air conditioner reaches the preset associated temperature adjustment condition, the central air conditioner can also utilize the surplus and available power consumption to perform temperature adjustment and control on other associated rooms in advance, so that the energy consumption caused by the fact that the other rooms are required to be opened after a short time and more temperature reduction/heating is required, and more comfortable household experience is provided for the user.
The functions have more remarkable application effects in the environment of intelligent control of opening and closing of the whole house or at least windows, and the windows of all rooms do not need to be opened and closed manually while the energy consumption utilization rate of the central air conditioner is improved.
The feedback of the central air conditioner after active temperature control reaches a preset associated temperature regulation condition, which comprises the following steps: the real-time temperature of the room reaches the current set temperature at least once; and the compressor power change frequency of the central air conditioner is smaller than a preset high-frequency threshold value.
That is, the method firstly ensures that the central air conditioner can regulate and control the temperature of other relevant rooms at least after the room with active temperature control firstly reaches the temperature required by the user, and the method is based on the relevant change information of the compressor.
Because the central air conditioner can be divided into a variable frequency air conditioner and a fixed frequency air conditioner, the method is also divided into two cases for improving the adaptability of the method:
firstly, respectively recording the time duration t1 and the time duration t2 of the last start-stop interval after the first stop of the compressor when the central air conditioner is marked as a fixed-frequency air conditioner; calculating the power change frequency of the compressor according to the start-stop interval time t1 and the start-up time t2, and meeting the following conditions: frequency = unit duration/(t1+t2).
It can be understood that the lowest power consumption of the central air conditioner is inherently higher than that of a common single air conditioner, if the frequency is fixed, the power consumption of the central air conditioner is relatively higher as soon as the central air conditioner is started, so that if the frequency of power change of a compressor is larger than a preset high-frequency threshold value, the power consumption is obviously higher, the multi-room association temperature regulation relation of the method can be utilized in the scene, the number of times of stopping and restarting or the situation that the central air conditioner is not stopped is reduced, the rest energy consumption is directly utilized to pre-cool/heat other rooms which are associated, and the energy consumption utilization of the central air conditioner is improved.
The compressor has better effect when the temperature is high (more than 30 ℃) and low (less than 0 ℃) outdoors, and the compressor is started and stopped more frequently due to the large indoor and outdoor temperature difference.
Second kind: when the central air conditioner is marked as a variable frequency air conditioner, the power change of the compressor is recorded;
according to the power change record of the compressor, the maintenance time length t3 after the power rise of the past time and the interval time length t4 of the power rise of the past time are obtained;
and calculating the power change frequency of the compressor according to the maintenance time t3 and the interval time t4 after the power is increased.
It should be noted that if only one room is opened, the lowest power consumption is higher, the variable frequency air conditioner is at the moment practical and constant frequency almost, after the room temperature reaches the set temperature, the air compressor will not run for a long time with low power, but will stop because of its design, so that the time period t3 is the time period of quick temperature adjustment when the air compressor is started, and the time period t4 is the time period of stop. Therefore, the compressor power change frequency is calculated according to the time period t3 and the time period t4, whether the compressor is started or stopped frequently can be reflected, and if the compressor power change frequency is larger than a preset high-frequency threshold value, the compressor power change frequency is relatively frequent. At this time, by previously adjusting the temperature of other rooms, the energy consumption utilization rate of the central air conditioner can be improved, and the frequency conversion is adopted, so that the energy is saved relatively to the fixed frequency.
In one embodiment of the method, performing associated temperature adjustment on rooms corresponding to other room numbers includes: target temperature of the room corresponding to the other room number=set temperature of the active temperature control ± buffer temperature difference, wherein ± is determined for heating/cooling according to the active temperature control.
Assuming that the living room is actively controlled, the set temperature is 21 ℃, the associated room is the master bedroom, the buffer temperature difference is 5 ℃, and the outdoor temperature is 35 ℃, then: the target temperature of the master bedroom is 21 ℃ +5 ℃ =26℃. According to the method, the energy consumption when other rooms are pre-heated and cooled can be reduced.
It can be appreciated that one support for the application effect of the method is: it is theoretically impossible for a user to perform activities in one room for a long time in a home, however, there may be a large empty window period from the active temperature control room to the associated room, for example: parlors to bedrooms may only be entered at night, at noon and for a longer period of time.
Based on the above, the method further comprises:
receiving the active time period setting of the user on each room number, and generating a temperature regulation demand time period of each room; the method comprises the steps of,
if the current room is in the non-attemperation demand period, the associated attemperation of the room is stopped.
In another embodiment of the method, in order to further reduce the waste of heating and cooling other rooms in advance, especially the waste when a plurality of associated rooms exist among the active temperature control rooms, the method further predicts the use behavior of the user air conditioner based on the data in the user database when the data amount in the user database reaches the preset user personalized prediction condition, and modifies the multi-room associated temperature control relation data. That is, the method predicts the use behavior of the air conditioner following the user according to the historical behavior of the user, and relatively more accurately pre-heats and cools other rooms.
Wherein the data amount in the user database reaches preset user personalized prediction conditions, for example: and the temperature control behavior information stored for a week is considered to reach the personalized prediction condition of the user.
The user air conditioner use behavior prediction based on the data in the user database comprises:
first kind: and importing the historical data into a preset prediction model to predict the number of the room which needs to be opened by the next time the user is at home.
Although the mode can accurately raise and lower the temperature of other rooms in advance for a user when the historical data volume is large, the control hardware requirements on a processing chip and the like for implementing the method are higher, the dependency on the historical data volume is high, on one hand, the cost is higher, and on the other hand, the mode is not suitable for the initial use stage of the user after the central air conditioner is installed.
Second kind:
receiving a user instruction, and defining a sampling period T of a prediction sample; wherein T may be 7, 15, 30 days;
the historical data of the previous sampling period T in the user database is called as sample data;
counting the occurrence frequency of other rooms which are subjected to temperature regulation control next after the current room is actively temperature-controlled in the sample data;
if the frequency of occurrence of one other room is highest, the room is related to the room with the current active temperature control;
if the frequency of the occurrence of a plurality of other rooms is the same and highest, outputting the room numbers of the corresponding rooms to a switch panel and a remote controller of the air conditioner, simultaneously starting flashing and audio to prompt, taking the information as an association confirmation request, and then receiving selection feedback of a user on the request to obtain a prediction result.
Compared with the former mode, the method is more direct, has lower implementation cost, can adaptively adjust the association temperature regulation relation of multiple rooms, and is relatively flexible.
The above embodiments are not intended to limit the scope of the present application, so: all equivalent changes in structure, shape and principle of the application should be covered in the scope of protection of the application.
Claims (8)
1. An intelligent control-based energy-saving method for a central air conditioning system is characterized by comprising the following steps of:
setting a temperature control association initialization trigger instruction, and establishing a user database for recording temperature control behavior information of a user on each room;
when a temperature control association initialization trigger instruction is received, a preset multi-room association temperature regulation relation filling request is output, feedback is received, and historical data in a user database are deleted;
establishing a central air conditioner personalized control logic according to the multi-room association temperature regulation relation data obtained through feedback; the method comprises the steps of,
when the data amount in the user database reaches the preset user personalized prediction condition, predicting the use behavior of the user air conditioner based on the data in the user database, and modifying the multi-room association temperature regulation relation data;
wherein, the central air conditioning individuation control logic, it includes:
when the air conditioner of one room is started, acquiring the room number and the set temperature of the active temperature control, and timing;
when the timing exceeds a preset first time threshold value and the feedback of the central air conditioner after active temperature control reaches a preset associated temperature regulation condition, searching multi-room associated temperature regulation relation data to obtain other currently associated room numbers, and carrying out associated temperature regulation on rooms corresponding to the other room numbers;
the user air conditioner use behavior prediction based on the data in the user database comprises the following steps:
receiving a user instruction, and defining a sampling period T of a prediction sample;
the historical data of the previous sampling period T in the user database is called as sample data;
counting the occurrence frequency of other rooms which are subjected to temperature regulation control next after the current room is actively temperature-controlled in the sample data;
if the frequency of occurrence of one other room is highest, the room is related to the room with the current active temperature control; the method comprises the steps of,
if the frequency of the occurrence of the plurality of other rooms is the same and highest, the room numbers of the corresponding plurality of rooms are output as the associated confirmation request confirmation information, and user selection feedback is received, so that a prediction result is obtained.
2. The intelligent control-based central air conditioning system energy saving method according to claim 1, wherein: the feedback of the central air conditioner after active temperature control reaches a preset associated temperature regulation condition, and the method comprises the following steps:
the real-time temperature of the room reaches the current set temperature at least once; the method comprises the steps of,
the compressor power change frequency of the central air conditioner is larger than a preset high-frequency threshold value.
3. The intelligent control-based central air conditioning system energy saving method according to claim 2, wherein: when the central air conditioner is marked as a fixed-frequency air conditioner, respectively recording the time duration t1 and the time duration t2 of the last start-stop interval after the first stop of the compressor; and calculating the power change frequency of the compressor according to the start-stop interval time t1 and the start-up time t 2.
4. The intelligent control-based central air conditioning system energy saving method according to claim 2, wherein: when the central air conditioner is marked as a variable frequency air conditioner, the power change of the compressor is recorded;
according to the power change record of the compressor, the maintenance time length t3 after the power rise of the past time and the interval time length t4 of the power rise of the past time are obtained;
and calculating the power change frequency of the compressor according to the maintenance time t3 and the interval time t4 after the power is increased.
5. The intelligent control-based central air conditioning system energy saving method according to claim 2, wherein: the related temperature adjustment is carried out on rooms corresponding to other room numbers, and the related temperature adjustment method comprises the following steps: target temperature of the room corresponding to the other room number=set temperature of the active temperature control ± buffer temperature difference, wherein ± is determined for heating/cooling according to the active temperature control.
6. The intelligent control-based central air conditioning system energy saving method according to claim 5, wherein the central air conditioning personalized control logic further comprises:
receiving the active time period setting of the user on each room number, and generating a temperature regulation demand time period of each room; the method comprises the steps of,
if the current room is in the non-attemperation demand period, the associated attemperation of the room is stopped.
7. The intelligent control-based energy saving method for a central air conditioning system according to claim 1, wherein the user air conditioning usage behavior prediction based on data in a user database comprises: and importing the historical data into a preset prediction model to predict the number of the room which needs to be opened by the next time the user is at home.
8. An intelligent control-based central air conditioning system energy saving system, characterized by comprising a memory and a processor, wherein the memory stores a computer program capable of being loaded by the processor and executing the intelligent control-based central air conditioning system energy saving method according to any one of claims 1 to 7.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS5551242A (en) * | 1978-10-06 | 1980-04-14 | Taikisha Ltd | Fan coil unit |
| CN112984732A (en) * | 2021-02-20 | 2021-06-18 | 青岛海尔空调器有限总公司 | Control method and device for air conditioner and air conditioner |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS5551242A (en) * | 1978-10-06 | 1980-04-14 | Taikisha Ltd | Fan coil unit |
| CN112984732A (en) * | 2021-02-20 | 2021-06-18 | 青岛海尔空调器有限总公司 | Control method and device for air conditioner and air conditioner |
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