CN112815494B - Operation control method and device of air conditioner, storage medium and processor - Google Patents

Operation control method and device of air conditioner, storage medium and processor Download PDF

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Publication number
CN112815494B
CN112815494B CN202110029929.7A CN202110029929A CN112815494B CN 112815494 B CN112815494 B CN 112815494B CN 202110029929 A CN202110029929 A CN 202110029929A CN 112815494 B CN112815494 B CN 112815494B
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temperature change
predicted
air conditioner
dry bulb
curve
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CN112815494A (en
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李蓉
黄玉优
赵材波
赵敏娜
康建
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Gree Electric Appliances Inc of Zhuhai
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Gree Electric Appliances Inc of Zhuhai
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/89Arrangement or mounting of control or safety devices
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/62Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63Electronic processing
    • F24F11/64Electronic processing using pre-stored data
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/62Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63Electronic processing
    • F24F11/65Electronic processing for selecting an operating mode
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/88Electrical aspects, e.g. circuits
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25BREFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
    • F25B49/00Arrangement or mounting of control or safety devices
    • F25B49/02Arrangement or mounting of control or safety devices for compression type machines, plants or systems
    • F25B49/022Compressor control arrangements
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2130/00Control inputs relating to environmental factors not covered by group F24F2110/00
    • F24F2130/10Weather information or forecasts

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Thermal Sciences (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

The invention discloses an operation control method and device of an air conditioner, the air conditioner, a storage medium and a processor, wherein the method comprises the following steps: acquiring an outdoor dry bulb temperature change curve predicted by weather forecast of the location of the air conditioner as a predicted temperature change reference curve; acquiring an actually measured outdoor dry bulb temperature change curve of the air conditioner as an actually measured temperature change curve; comparing the predicted temperature change reference curve with the actually measured temperature change curve, and predicting the outdoor dry bulb temperature of the air conditioner within a set time period in the future to serve as the predicted outdoor dry bulb temperature; and controlling the air conditioner to switch between different operation modes of a fluorine pump and a compressor according to the predicted outdoor dry bulb temperature. This scheme is rectified through the real-time outdoor dry bulb temperature to the actual measurement, avoids the real-time outdoor dry bulb temperature short-term sudden change of actual measurement or unstable, promotes the reliability of mode switch among the air conditioner operation process.

Description

Operation control method and device of air conditioner, storage medium and processor
Technical Field
The invention belongs to the technical field of air conditioners, and particularly relates to an operation control method and device of an air conditioner, the air conditioner, a storage medium and a processor, in particular to an operation control method and device of a fluorine pump dual-cycle air conditioner, the storage medium and the processor.
Background
In the related scheme, an air conditioner (such as a fluorine pump dual-cycle air conditioner) switches an operation mode and mainly depends on outdoor dry bulb temperature control. Because the outdoor environment temperature is fluctuated, the short-time temperature change may cause the outdoor dry bulb temperature to move back and forth right near the mode switching temperature point, which causes frequent start and stop of the fluorine pump or the compressor, not only can seriously affect the service life of the compressor and the fluorine pump, but also can cause unstable indoor working conditions, possibly cannot meet the requirement of refrigerating capacity, and seriously affects the normal operation of the data center, therefore, the control of the system switching mode is unreliable only by the real-time outdoor dry bulb temperature point.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention aims to provide an operation control method, an operation control device, an air conditioner, a storage medium and a processor of the air conditioner, which are used for solving the problems that the mode switching of the air conditioner (such as a fluorine pump dual-cycle air conditioner) in the operation process only depends on the actual measured real-time outdoor dry bulb temperature, when the actual measured real-time outdoor dry bulb temperature is suddenly changed or unstable for a short time, a fluorine pump or a compressor is frequently started and stopped to cause misoperation of a unit, and the mode switching reliability of the air conditioner (such as the fluorine pump dual-cycle air conditioner) in the operation process is low.
The invention provides an operation control method of an air conditioner, wherein the air conditioner comprises the following steps: fluorine pumps and compressors; the operation control method of the air conditioner comprises the following steps: acquiring an outdoor dry bulb temperature change curve predicted by weather forecast of the location of the air conditioner as a predicted temperature change reference curve; acquiring an actually measured outdoor dry bulb temperature change curve of the air conditioner as an actually measured temperature change curve; comparing the predicted temperature change reference curve with the actually measured temperature change curve, and predicting the outdoor dry bulb temperature of the air conditioner within a set time period in the future to serve as the predicted outdoor dry bulb temperature; and controlling the air conditioner to switch between different operation modes of a fluorine pump and a compressor according to the predicted outdoor dry bulb temperature.
In some embodiments, obtaining a predicted outdoor dry bulb temperature variation curve of a weather forecast for a location of the air conditioner includes: acquiring weather forecast data of the location of the air conditioner, and generating an outdoor dry bulb temperature change curve predicted by weather forecast based on the weather forecast data to serve as a predicted temperature change reference curve; wherein, the weather forecast data can be updated according to a set period; obtaining an actually measured outdoor dry bulb temperature change curve of the air conditioner, comprising: and acquiring outdoor environment temperature change data during the operation of the air conditioner, and generating an actually measured outdoor dry bulb temperature change curve based on the outdoor environment temperature change data to serve as the actually measured temperature change curve.
In some embodiments, comparing the predicted temperature variation reference curve with the measured temperature variation curve to predict an outdoor dry bulb temperature of the air conditioner within a set period of time in the future includes: determining whether the operation trends of the predicted temperature change reference curve and the measured temperature change curve in a set period of time in the past are consistent; if the operation trends of the predicted temperature change reference curve and the actually-measured temperature change curve in a set period in the past are consistent, predicting the outdoor dry bulb temperature of the air conditioner in a set period in the future according to the predicted temperature change reference curve; and if the operation trends of the predicted temperature change reference curve and the actually measured temperature change curve in a set period in the past are inconsistent, predicting the outdoor dry bulb temperature of the air conditioner in a set period in the future according to the actually measured temperature change curve.
In some embodiments, determining whether the predicted temperature change reference curve and the measured temperature change reference curve are consistent with each other in operation trend within a set period of time in the past includes: if the operation trends of the predicted temperature change reference curve and the actually measured temperature change curve in a set period in the past are both ascending trends or both descending trends or both horizontal trends, determining that the operation trends of the predicted temperature change reference curve and the actually measured temperature change curve in the set period in the past are consistent; and if the operation trends of the predicted temperature change reference curve and the measured temperature change curve in a set period in the past are an ascending trend and a descending trend or a descending trend and a horizontal trend or a horizontal trend and a descending trend, determining that the operation trends of the predicted temperature change reference curve and the measured temperature change curve in the set period in the past are not consistent.
In some embodiments, the predicting the outdoor dry bulb temperature of the air conditioner in a set period of time in the future according to the predicted temperature change reference curve comprises: determining a weather forecast temperature value at the current moment and a weather forecast temperature value at the next moment in the forecast temperature change reference curve, and calculating a predicted value of the actual measurement temperature value at the next moment according to the position of the weather forecast temperature value at the current moment on the forecast temperature change reference curve, the slope of a straight line obtained by connecting the position of the weather forecast temperature value at the next moment on the forecast temperature change reference curve and the actual measurement temperature value at the current moment; predicting the outdoor dry bulb temperature of the air conditioner in a set time period in the future according to the actually measured temperature change curve, and the method comprises the following steps: and determining the current actual measurement temperature value and the previous actual measurement temperature value in the actual measurement temperature change curve, and calculating the predicted value of the actual measurement temperature value at the next moment according to the position of the previous actual measurement temperature value on the actual measurement temperature change curve, the slope of a straight line connected with the current actual measurement temperature value on the actual measurement temperature change curve and the current actual measurement temperature value.
In some embodiments, the air conditioner operates in different operating modes of the fluorine pump and the compressor, including: a fluorine pump operation mode in which the fluorine pump is operated and the compressor is not operated, a compressor operation mode in which the fluorine pump is not operated and the compressor is operated, and a hybrid operation mode in which the fluorine pump is operated and the compressor is operated; controlling the air conditioner to switch between different operation modes of a fluorine pump and a compressor according to the predicted outdoor dry bulb temperature, wherein the method comprises the following steps: if the predicted outdoor dry bulb temperature is larger than the upper limit of the set temperature range, controlling the air conditioner to operate in a compressor operation mode; if the predicted outdoor dry bulb temperature is greater than or equal to the lower limit of the set temperature range and less than or equal to the upper limit of the set temperature range, controlling the air conditioner to operate in a hybrid operation mode; and if the predicted outdoor dry bulb temperature is smaller than the lower limit of the set temperature range, controlling the air conditioner to operate in a fluorine pump operation mode.
In accordance with the above method, another aspect of the present invention provides an operation control apparatus of an air conditioner, the air conditioner including: fluorine pumps and compressors; the operation control device of the air conditioner includes: an acquisition unit configured to acquire an outdoor dry bulb temperature change curve predicted by a weather forecast of a location where the air conditioner is located, as a predicted temperature change reference curve; the obtaining unit is further configured to obtain an actually measured outdoor dry bulb temperature change curve of the air conditioner as an actually measured temperature change curve; a control unit configured to compare the predicted temperature change reference curve with the measured temperature change curve and predict an outdoor dry bulb temperature of the air conditioner within a set period of time in the future as a predicted outdoor dry bulb temperature; the control unit is further configured to control the air conditioner to switch between different operation modes of a fluorine pump and a compressor according to the predicted outdoor dry bulb temperature.
In some embodiments, the obtaining unit obtains the outdoor dry bulb temperature variation curve predicted by the weather forecast of the location of the air conditioner, and the obtaining unit includes: acquiring weather forecast data of the location of the air conditioner, and generating an outdoor dry bulb temperature change curve predicted by weather forecast based on the weather forecast data to serve as a predicted temperature change reference curve; wherein, the weather forecast data can be updated according to a set period; the acquisition unit acquires the actually measured outdoor dry bulb temperature change curve of the air conditioner, and comprises: and acquiring outdoor environment temperature change data during the operation of the air conditioner, and generating an actually measured outdoor dry bulb temperature change curve based on the outdoor environment temperature change data to serve as the actually measured temperature change curve.
In some embodiments, the control unit, comparing the predicted temperature variation reference curve with the measured temperature variation curve, and predicting the outdoor dry bulb temperature of the air conditioner within a set period of time in the future, includes: determining whether the operation trends of the predicted temperature change reference curve and the measured temperature change curve in a set period of time in the past are consistent; if the operation trends of the predicted temperature change reference curve and the actually-measured temperature change curve in a set period in the past are consistent, predicting the outdoor dry bulb temperature of the air conditioner in a set period in the future according to the predicted temperature change reference curve; and if the operation trends of the predicted temperature change reference curve and the actually measured temperature change curve in a set period in the past are inconsistent, predicting the outdoor dry bulb temperature of the air conditioner in a set period in the future according to the actually measured temperature change curve.
In some embodiments, the control unit determining whether the predicted temperature change reference curve and the measured temperature change reference curve are consistent with each other in operation trend of the past set time period comprises: if the operation trends of the predicted temperature change reference curve and the actually measured temperature change curve in a set period in the past are both ascending trends or both descending trends or both horizontal trends, determining that the operation trends of the predicted temperature change reference curve and the actually measured temperature change curve in the set period in the past are consistent; and if the operation trends of the predicted temperature change reference curve and the measured temperature change curve in a set period in the past are an ascending trend and a descending trend or a descending trend and a horizontal trend or a horizontal trend and a descending trend, determining that the operation trends of the predicted temperature change reference curve and the measured temperature change curve in the set period in the past are not consistent.
In some embodiments, the control unit predicting an outdoor dry bulb temperature of the air conditioner for a set period of time in the future according to the predicted temperature change reference curve includes: determining a weather forecast temperature value at the current moment and a weather forecast temperature value at the next moment in the forecast temperature change reference curve, and calculating a predicted value of the actual measurement temperature value at the next moment according to the position of the weather forecast temperature value at the current moment on the forecast temperature change reference curve, the slope of a straight line obtained by connecting the position of the weather forecast temperature value at the next moment on the forecast temperature change reference curve and the actual measurement temperature value at the current moment; predicting the outdoor dry bulb temperature of the air conditioner in a set time period in the future according to the actually measured temperature change curve, and the method comprises the following steps: and determining the current actual measurement temperature value and the previous actual measurement temperature value in the actual measurement temperature change curve, and calculating the predicted value of the actual measurement temperature value at the next moment according to the position of the previous actual measurement temperature value on the actual measurement temperature change curve, the slope of a straight line connected with the current actual measurement temperature value on the actual measurement temperature change curve and the current actual measurement temperature value.
In some embodiments, the air conditioner operates in different operating modes of the fluorine pump and the compressor, including: a fluorine pump operation mode in which the fluorine pump is operated and the compressor is not operated, a compressor operation mode in which the fluorine pump is not operated and the compressor is operated, and a hybrid operation mode in which the fluorine pump is operated and the compressor is operated; the control unit controls the air conditioner to switch between different operation modes of a fluorine pump and a compressor according to the predicted outdoor dry bulb temperature, and comprises: if the predicted outdoor dry bulb temperature is larger than the upper limit of the set temperature range, controlling the air conditioner to operate in a compressor operation mode; if the predicted outdoor dry bulb temperature is greater than or equal to the lower limit of the set temperature range and less than or equal to the upper limit of the set temperature range, controlling the air conditioner to operate in a hybrid operation mode; and if the predicted outdoor dry bulb temperature is smaller than the lower limit of the set temperature range, controlling the air conditioner to operate in a fluorine pump operation mode.
In accordance with another aspect of the present invention, there is provided an air conditioner including: the operation control device of the air conditioner described above.
In accordance with the above method, a further aspect of the present invention provides a storage medium, which includes a stored program, wherein when the program runs, a device in which the storage medium is located is controlled to execute the above operation control method of the air conditioner.
In accordance with the above method, a further aspect of the present invention provides a processor for executing a program, wherein the program executes the above operation control method of the air conditioner.
Therefore, according to the scheme of the invention, the outdoor dry bulb temperature change reference curve predicted by weather forecast is formed by acquiring the latest local weather forecast data; the outdoor dry bulb temperature change trend and the outdoor dry bulb temperature value of the unit at the next time period are judged by actually measuring the outdoor environment temperature change during the running period of the unit, drawing a real-time outdoor dry bulb temperature change curve chart and comparing the real-time outdoor dry bulb temperature change curve chart with an outdoor dry bulb temperature change reference curve predicted by weather forecast, so that the mode switching control is carried out through the outdoor dry bulb temperature change; through rectifying real-time outdoor dry bulb temperature to actual measurement, can avoid the real-time outdoor dry bulb temperature short-term sudden change of actual measurement or unstable, promote the reliability of carrying out the mode switch in air conditioner (like fluorine pump dual cycle air conditioner) operation process.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
Fig. 1 is a schematic flowchart illustrating an operation control method of an air conditioner according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart illustrating an embodiment of the method for predicting the outdoor dry bulb temperature of the air conditioner within a predetermined time period in the future;
fig. 3 is a schematic structural diagram of an embodiment of an operation control device of an air conditioner according to the present invention;
FIG. 4 is a schematic diagram of an embodiment of a refrigeration system for a fluorine pump dual cycle air conditioning system;
FIG. 5 is a graph illustrating the operating curves of an embodiment of a fluorine pump dual cycle air conditioning system.
The reference numbers in the embodiments of the present invention are as follows, in combination with the accompanying drawings:
102-an obtaining unit; 104-control unit.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the specific embodiments of the present invention and the accompanying drawings. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
According to an embodiment of the present invention, an operation control method of an air conditioner is provided, as shown in fig. 1, which is a schematic flow chart of an embodiment of the method of the present invention. The air conditioner includes: a fluorine pump and a compressor. The fluorine pump is arranged between the liquid storage tank and the throttling unit (such as an electronic expansion valve). And a first one-way switch (such as a one-way valve A) is arranged in parallel with the fluorine pump, and the conduction direction of the first one-way switch is from the liquid storage tank to the throttling unit. And the compressor is arranged between the condenser and the evaporator. And a second one-way switch (such as a one-way valve B) is arranged in parallel with the compressor, and the conduction direction of the second one-way switch is from the evaporator to the condenser. The refrigeration cycle system is formed by connecting a compressor, an oil separator, a condenser, a liquid storage tank, an expansion valve and an evaporator in sequence, and is characterized in that a fluorine pump is added between the liquid storage tank and the expansion valve, two ends of the fluorine pump are connected with a one-way valve A in parallel, and two ends of the compressor are connected with a one-way valve B in parallel. In the compressor operation mode, the refrigerant flows through the branch a of the check valve. When the fluorine pump operates in the mode, the refrigerant flows through the branch B of the check valve. The operation control method of the air conditioner comprises the following steps: step S110 to step S140.
At step S110, an outdoor dry bulb temperature variation curve predicted by a weather forecast of a location where the air conditioner is located is obtained as a predicted temperature variation reference curve.
In some embodiments, the obtaining of the outdoor dry bulb temperature variation curve predicted by the weather forecast of the location of the air conditioner in step S110 includes: and acquiring weather forecast data of the place where the air conditioner is located, and generating an outdoor dry bulb temperature change curve predicted by weather forecast based on the weather forecast data to serve as a predicted temperature change reference curve.
Specifically, local latest weather forecast data is acquired through remote control or wireless data communication, and an outdoor dry bulb temperature change curve predicted by weather forecast is formed and used as a judgment comparison condition for control. The data of the weather forecast is usually the data of the weather station closest to the place where the unit is used, and due to the influence of factors such as distance, altitude, and urban microclimate, the data may have deviation (as shown by the temperature deviation Δ t between the two curves in fig. 5) from the data around the current data center, but the trend should be approximately similar, so the data deviation can be adopted for processing, that is, the data deviation can be ignored.
Wherein, the weather forecast data can be updated according to a set period.
Specifically, weather forecast prediction data is updated at any time, and correction is performed at any time through AI (artificial intelligence) processing operation, so that fluctuation of a weather large period is avoided, meteorological parameters are ensured to be more accurate after processing, and accuracy and timeliness of the data are ensured.
At step S120, an actually measured outdoor dry bulb temperature variation curve of the air conditioner is obtained as an actually measured temperature variation curve.
In some embodiments, the obtaining of the measured outdoor dry bulb temperature variation curve of the air conditioner in step S120 includes: and acquiring outdoor environment temperature change data during the operation of the air conditioner, and generating an actually measured outdoor dry bulb temperature change curve based on the outdoor environment temperature change data to serve as the actually measured temperature change curve. Specifically, a real-time outdoor dry bulb temperature change curve graph is drawn through actually measured outdoor environment temperature changes (namely current outdoor environment temperature changes during the unit operation) during the unit operation.
At step S130, the predicted temperature change reference curve is compared with the measured temperature change curve to predict an outdoor dry bulb temperature of the air conditioner within a set period of time in the future as a predicted outdoor dry bulb temperature. And comparing the data of a certain past period given by weather forecast prediction with the actually measured temperature change data of the period, and predicting again through a calculation form after comparison to obtain the required final data.
Therefore, local latest weather forecast data is obtained through remote control or wireless data communication, and an outdoor dry bulb temperature change curve predicted by weather forecast is formed and is used as a control judgment comparison condition; the real-time outdoor dry bulb temperature change curve chart actually measured on the same day of operation is drawn through the current outdoor environment temperature change during the operation of the unit and is compared with the outdoor dry bulb temperature change curve at the current moment predicted by weather forecast to judge the outdoor dry bulb temperature change trend and the value of the outdoor dry bulb temperature in the next time period of the unit, the temperature and humidity stability of a data center is guaranteed, meanwhile, the operation mode of the air conditioner of the machine room can be switched more reasonably, and low-energy-consumption operation of the air conditioner of the machine room is achieved.
In some embodiments, the step S130 compares the predicted temperature variation reference curve with the measured temperature variation curve to predict a specific process of the outdoor dry bulb temperature of the air conditioner within a set period of time in the future, as shown in the following exemplary description.
Referring to fig. 2, a flowchart of an embodiment of predicting the outdoor dry bulb temperature of the air conditioner within a set time period in the future in the method of the present invention will be further described, where the specific process of predicting the outdoor dry bulb temperature of the air conditioner within the set time period in the future in step S130 includes: step S210 to step S230.
Step S210, determining whether the operation trends of the predicted temperature variation reference curve and the measured temperature variation curve in a past set time period are consistent.
In some embodiments, the step S210 of determining whether the predicted temperature variation reference curve and the measured temperature variation reference curve are consistent with each other in operation trend within a set period of time in the past includes any one of the following determination situations:
the first determination case: and if the operation trends of the predicted temperature change reference curve and the actually measured temperature change curve in a set period in the past are both ascending trends or both descending trends or both horizontal trends, determining that the operation trends of the predicted temperature change reference curve and the actually measured temperature change curve in the set period in the past are consistent.
Second determination case: and if the operation trends of the predicted temperature change reference curve and the measured temperature change curve in a set period in the past are an ascending trend and a descending trend or a descending trend and a horizontal trend or a horizontal trend and a descending trend, determining that the operation trends of the predicted temperature change reference curve and the measured temperature change curve in the set period in the past are not consistent.
Step S220, if the operation trends of the predicted temperature change reference curve and the actually measured temperature change curve in a past set time interval are consistent, predicting the outdoor dry bulb temperature of the air conditioner in a future set time interval according to the predicted temperature change reference curve to obtain the predicted outdoor dry bulb temperature.
In some embodiments, the predicting the outdoor dry bulb temperature of the air conditioner in a set period of time in the future according to the predicted temperature variation reference curve in step S220 includes: and determining a weather forecast temperature value at the current moment and a weather forecast temperature value at the next moment in the forecast temperature change reference curve, and calculating a predicted value of the actual measurement temperature value at the next moment according to the position of the weather forecast temperature value at the current moment on the forecast temperature change reference curve, the slope of a straight line obtained by connecting the position of the weather forecast temperature value at the next moment on the forecast temperature change reference curve and the actual measurement temperature value at the current moment. When the temperature values are consistent, the predicted temperature value is the measured temperature value at the next moment, and the slope is only used as the slope of the weather forecast.
Specifically, if the outdoor dry bulb temperature curve predicted by the weather forecast is consistent with the trend of the real-time outdoor dry bulb temperature curve actually measured on the current day in the previous operation stage, the outdoor dry bulb temperature variation trend and the approximate temperature value near the data center of the next stage are predicted according to the next-stage outdoor dry bulb temperature variation curve predicted by the weather forecast at the current moment and the actually-measured temperature value at the current moment.
Taking the time interval between the time T0 and the time T1 in FIG. 5 as an example, assuming that the current time point of the unit operation is T1, since the measured outdoor dry bulb temperature curve rises in fluctuation during the time interval between the time T0 and the time T1 and has the same trend as the predicted outdoor dry bulb temperature change curve of the weather forecast, the predicted temperature change condition of the actual outdoor dry bulb temperature at the next time is the same as the predicted temperature change curve trend of the outdoor dry bulb temperature at the weather forecast, here, the rising trend is the rising trend, and finally, the rising amount of the outdoor dry bulb temperature is determined, the slope of a straight line connecting the predicted outdoor dry bulb temperature value at the next time and the predicted outdoor dry bulb temperature value at the current time is determined according to the slope and the measured temperature value at the current time, the predicted outdoor dry bulb temperature value A' at the next time can be calculated according to the slope and the measured temperature value at the current time, and taking the temperature value as an adopted value when the unit mode is switched at the next moment.
And starting timing at the moment, setting time delta Ta, and judging whether the outdoor dry bulb temperature values adopted when the unit carries out mode switching are the predicted temperature values in the period of time. After the delta Ta time period is operated, the trend of the outdoor dry bulb temperature curve actually measured in the current day of operation in the delta Ta time period and the trend of the outdoor dry bulb temperature change curve predicted by weather forecast is judged, if the trend of the curve is consistent, the outdoor dry bulb temperature at the next moment is continuously predicted in the mode, for example, data of time T2-time T3 are obtained. Therefore, misoperation of unit mode conversion caused by the measured temperature mutation point in the section A shown by the time T1-time T2 is avoided.
If the weather forecast predicts that the outdoor dry bulb temperature curve is inconsistent with the trend of the real-time outdoor dry bulb temperature curve actually measured on the current day in the last operation stage, the change trend and the approximate temperature value of the outdoor dry bulb temperature near the data center of the next stage are predicted according to the slope of a straight line obtained by connecting the actually measured dry bulb temperature value of the outdoor dry bulb temperature curve on the unit at the previous moment and the actually measured temperature value at the current moment on the current day. Note that the slope of the temperature change curve obtained here is a gentle transition compared with the slope of the temperature change curve at the previous time, and the temperature change curve is smoothed without taking abrupt changes into consideration.
Step S230, if the operation trends of the predicted temperature change reference curve and the measured temperature change curve in a past set time interval are not consistent, predicting the outdoor dry bulb temperature of the air conditioner in a future set time interval according to the measured temperature change curve, so as to obtain the predicted outdoor dry bulb temperature.
Therefore, the outdoor dry bulb temperature curve of the current day of operation is compared with the outdoor dry bulb temperature curve predicted by the weather forecast in real time, the slope transition of the outdoor dry bulb temperature curve of the current day of operation is measured, the curve is smoothly processed and judged, the outdoor dry bulb temperature trend and the approximate temperature value of the next moment of time are predicted through the combined control of the outdoor dry bulb temperature curve and the curve, the misoperation of a unit caused by sudden change or instability of the real-time monitored temperature is reduced, the system is more stable in operation, the insufficient refrigerating capacity caused by frequent and transient switching modes is avoided, and the temperature and humidity fluctuation of a data center is smaller.
In some embodiments, the predicting the outdoor dry bulb temperature of the air conditioner in a set period of time in the future according to the measured temperature variation curve in step S230 includes: and determining the current actual measurement temperature value and the previous actual measurement temperature value in the actual measurement temperature change curve, and calculating the predicted value of the actual measurement temperature value at the next moment according to the position of the previous actual measurement temperature value on the actual measurement temperature change curve, the slope of a straight line connected with the current actual measurement temperature value on the actual measurement temperature change curve and the current actual measurement temperature value.
Specifically, if the weather forecast predicts that the outdoor dry bulb temperature curve is inconsistent with the trend of the real-time outdoor dry bulb temperature curve actually measured on the current day in the last operation stage, the trend of the change of the outdoor dry bulb temperature near the data center of the next stage and the approximate temperature value are predicted according to the slope of a straight line obtained by connecting the actually measured dry bulb temperature value of the outdoor dry bulb temperature curve actually measured on the current day on the unit at the last moment and the actually measured temperature value at the current moment. Note that the slope of the temperature change curve obtained here is a gentle transition compared with the slope of the temperature change curve at the previous time, and the temperature change curve is smoothed without taking abrupt changes into consideration.
Taking the time period T3-time period T4 in fig. 5 as an example, assuming that the current operating time point of the unit is time T4, since the outdoor dry bulb temperature curve trend is rising as measured on the day of the operation of the period between time T3 and time T4, the weather forecast predicts that the trend of the outdoor dry bulb temperature curve is reduced and the trend of the outdoor dry bulb temperature curve is inconsistent, the time length of the time interval from T3 to T4 is longer than or equal to the set time interval delta Ta, so that at the next moment, the outdoor dry bulb temperature value is determined by the slope of a straight line obtained by connecting the measured dry bulb temperature value at the last moment of the unit with the measured temperature value at the current moment and the measured temperature value at the current moment (the time interval of each moment of the unit is set to delta Tb, the delta Tb is set in advance, for example, 5min), and obtaining a predicted temperature value at the next moment through calculation, and using the temperature value as an adopted value for whether the unit mode is switched at the next moment.
And starting timing at the moment, setting time delta Ta, and judging whether the outdoor dry bulb temperature values adopted when the unit carries out mode switching are the predicted temperature values in the period of time. After the delta Ta time period is operated, the trend of the outdoor dry bulb temperature curve actually measured on the same day of operation in the delta Ta time period and the trend of the outdoor dry bulb temperature change curve predicted by weather forecast are judged, and the steps are circularly judged. Therefore, the misoperation of unit mode conversion caused by the measured temperature mutation point of the section B shown in T4-T5 is avoided.
Whether the switching mode of the unit is determined by the predicted temperature value and the actually-measured dry bulb temperature in the next stage of operation or not is determined by the predicted temperature value and the actually-measured dry bulb temperature, and the specific temperature value at the current moment is not determined independently, so that the misoperation of the unit caused by sudden or unstable real-time monitored air temperature (such as an A section shown by T1-T2, a B section shown by T5-T6 and a C section shown by T8-T9 in the figure 5) is reduced, the frequent starting and stopping of a compressor or a fluorine pump is reduced, and the operation of a fluorine pump refrigeration system is safer and more effective.
And at the step S140, controlling the air conditioner to switch between different operation modes of a fluorine pump and a compressor according to the predicted outdoor dry bulb temperature.
Specifically, a real-time outdoor dry bulb temperature change curve is drawn through actually measured outdoor environment temperature changes (namely current outdoor environment temperature changes during the running of the unit) during the running period of the unit, and the outdoor dry bulb temperature change curve is compared with an outdoor dry bulb temperature change curve predicted by weather forecast to judge the outdoor dry bulb temperature change trend and the outdoor dry bulb temperature value of the unit in the next time period.
In some embodiments, the air conditioner operates in different operating modes of the fluorine pump and the compressor, including: a fluorine pump running mode in which the fluorine pump is running and the compressor is not running, a compressor running mode in which the fluorine pump is not running and the compressor is running, and a hybrid running mode in which the fluorine pump is running and the compressor is running.
In step S140, the air conditioner is controlled to switch between different operation modes of the fluorine pump and the compressor according to the predicted outdoor dry bulb temperature, including any one of the following control situations:
the first control scenario: and if the predicted outdoor dry bulb temperature is greater than the upper limit (such as 20 ℃) of the set temperature range, controlling the air conditioner to operate in a compressor operation mode. For example: when the outdoor temperature is higher than 20 ℃, a mechanical refrigeration mode is adopted, and a compressor needs to be started for refrigeration as in the air-cooled air conditioner.
The second control scenario: and if the predicted outdoor dry bulb temperature is greater than or equal to the lower limit of the set temperature range and less than or equal to the upper limit of the set temperature range (such as 20 ℃), controlling the air conditioner to operate in a hybrid operation mode. For example: when the outdoor temperature is higher than or equal to 10 ℃ and lower than or equal to 20 ℃, the fluorine pump natural cooling module is started to work but cannot provide the required full refrigerating capacity, the fluorine pump natural cooling module and the compressor are started simultaneously, the energy-saving module can effectively reduce the starting and running time of the compressor, so that the air conditioning equipment runs in a mixed energy-saving mode, and the energy efficiency ratio of the whole machine is high.
The third control scenario: and if the predicted outdoor dry bulb temperature is less than the lower limit (such as 10 ℃) of the set temperature range, controlling the air conditioner to operate in a fluorine pump operation mode. For example: when the outdoor temperature is less than 10 ℃, the compressor is closed, the refrigerant exchanges heat with outdoor air in the condenser under the pushing of the fluorine pump natural cooling module, a natural cold source is brought into the machine room, the compressor does not need to be started at this time, and the operation energy consumption is reduced.
Therefore, based on the outdoor dry bulb temperature change curve actually measured by the unit, the sudden change temperature value is coped with by smooth processing through the change trend of the slope of the curve, and the local fluctuation of the outdoor curve actually measured is reduced. Therefore, the misoperation of the unit caused by sudden change or instability of the real-time monitored air temperature can be reduced, the frequent starting and stopping of the compressor or the fluorine pump are reduced, and the operation of the fluorine pump refrigerating system is safer and more effective. Whether the control of the unit operation mode is appropriate or not can be judged in advance, the problems that the refrigerating capacity of a system is unstable due to misoperation of the unit and the temperature and humidity fluctuation of a data center is large when the mode switching is carried out in the operation process of the fluorine pump dual-cycle air conditioner only depends on the actually-measured real-time outdoor dry bulb temperature, and the actually-measured real-time outdoor dry bulb temperature changes or is unstable for a short time, the fluorine pump or the compressor is frequently started and stopped, so that the temperature and humidity of the data center are stable, the system is stable in operation, the shortage of the refrigerating capacity due to frequent and transient switching modes is avoided, the temperature and humidity fluctuation of the data center is small, and the temperature and humidity of the data center can be guaranteed to be stable.
Through a large number of tests, the technical scheme of the embodiment is adopted, and the outdoor dry bulb temperature change curve predicted by weather forecast is formed by acquiring the latest local weather forecast data. The outdoor dry bulb temperature change trend of the unit in the next time period and the temperature value of the outdoor dry bulb are judged by actually measuring the outdoor environment temperature change during the running period of the unit, drawing a real-time outdoor dry bulb temperature change curve and comparing the real-time outdoor dry bulb temperature change curve with the outdoor dry bulb temperature change curve predicted by weather forecast, so that the mode switching is controlled through the outdoor dry bulb temperature change. Through rectifying real-time outdoor dry bulb temperature to actual measurement, can avoid the real-time outdoor dry bulb temperature short-term sudden change of actual measurement or unstable, promote the reliability of carrying out the mode switch in air conditioner (like fluorine pump dual cycle air conditioner) operation process.
According to an embodiment of the present invention, there is also provided an operation control device of an air conditioner corresponding to the operation control method of the air conditioner. Referring to fig. 3, a schematic diagram of an embodiment of the apparatus of the present invention is shown. The air conditioner includes: a fluorine pump and a compressor. The fluorine pump is arranged between the liquid storage tank and the throttling unit (such as an electronic expansion valve). And a first one-way switch (such as a one-way valve A) is arranged in parallel with the fluorine pump, and the conduction direction of the first one-way switch is from the liquid storage tank to the throttling unit. And the compressor is arranged between the condenser and the evaporator. And a second one-way switch (such as a one-way valve B) is arranged in parallel with the compressor, and the conduction direction of the second one-way switch is from the evaporator to the condenser. That is, unlike a refrigeration cycle system in which a compressor, an oil separator, a condenser, a liquid storage tank, an expansion valve, and an evaporator are connected in sequence, a fluorine pump is added between the liquid storage tank and the expansion valve, and both ends of the fluorine pump are connected in parallel to a check valve a and both ends of the compressor are connected in parallel to a check valve B. In the compressor operation mode, the refrigerant flows through the branch a of the check valve. When the fluorine pump operates in the mode, the refrigerant flows through the branch B of the check valve. The operation control device of the air conditioner includes: an acquisition unit 102 and a control unit 104.
The obtaining unit 102 is configured to obtain an outdoor dry bulb temperature change curve predicted by weather forecast of the location of the air conditioner as a predicted temperature change reference curve. The specific functions and processes of the acquiring unit 102 are referred to in step S110.
In some embodiments, the obtaining unit 102, obtaining the outdoor dry bulb temperature variation curve predicted by the weather forecast of the location of the air conditioner, includes: the obtaining unit 102 is further specifically configured to obtain weather forecast data of a location where the air conditioner is located, and generate an outdoor dry bulb temperature variation curve predicted by weather forecast based on the weather forecast data, as a predicted temperature variation reference curve.
Specifically, local latest weather forecast data is acquired through remote control or wireless data communication, and an outdoor dry bulb temperature change curve predicted by weather forecast is formed and used as a judgment comparison condition for control. The data of the weather forecast is usually the data of the weather station closest to the place where the unit is used, and due to the influence of factors such as distance, altitude, and urban microclimate, the data may have deviation (as shown by the temperature deviation Δ t between the two curves in fig. 5) from the data around the current data center, but the trend should be approximately similar, so the data deviation can be adopted for processing, that is, the data deviation can be ignored.
Wherein, the weather forecast data can be updated according to a set period.
Specifically, weather forecast prediction data is updated at any time, and correction is performed at any time through AI (artificial intelligence) processing operation, so that fluctuation of a weather large period is avoided, meteorological parameters are ensured to be more accurate after processing, and accuracy and timeliness of the data are ensured.
The obtaining unit 102 is further configured to obtain a measured outdoor dry bulb temperature variation curve of the air conditioner as a measured temperature variation curve. The specific function and processing of the acquisition unit 102 are also referred to in step S120.
In some embodiments, the obtaining unit 102, obtaining a measured outdoor dry bulb temperature variation curve of the air conditioner, includes: the obtaining unit 102 is further specifically configured to obtain outdoor environment temperature change data during the operation of the air conditioner, and generate an actually measured outdoor dry bulb temperature change curve based on the outdoor environment temperature change data, as the actually measured temperature change curve. Specifically, a real-time outdoor dry bulb temperature change curve graph is drawn through actually measured outdoor environment temperature changes (namely current outdoor environment temperature changes during the unit operation) during the unit operation.
A control unit 104 configured to compare the predicted temperature change reference curve with the measured temperature change curve and predict an outdoor dry bulb temperature of the air conditioner within a set period of time in the future as a predicted outdoor dry bulb temperature. The specific function and processing of the control unit 104 are shown in step S130.
Therefore, local latest weather forecast data is obtained through remote control or wireless data communication, and an outdoor dry bulb temperature change curve predicted by weather forecast is formed and is used as a control judgment comparison condition; the real-time outdoor dry bulb temperature change curve chart actually measured on the same day of operation is drawn through the current outdoor environment temperature change during the operation of the unit and is compared with the outdoor dry bulb temperature change curve at the current moment predicted by weather forecast to judge the outdoor dry bulb temperature change trend and the value of the outdoor dry bulb temperature in the next time period of the unit, the temperature and humidity stability of a data center is guaranteed, meanwhile, the operation mode of the air conditioner of the machine room can be switched more reasonably, and low-energy-consumption operation of the air conditioner of the machine room is achieved.
In some embodiments, the control unit 104, comparing the predicted temperature variation reference curve with the measured temperature variation curve, and predicting the outdoor dry bulb temperature of the air conditioner within a set period of time in the future, includes:
the control unit 104 is further specifically configured to determine whether the predicted temperature variation reference curve and the measured temperature variation curve are consistent with each other in the past set period of time. The specific functions and processes of the control unit 104 are also referred to in step S210.
In some embodiments, the control unit 104, determining whether the predicted temperature variation reference curve and the measured temperature variation reference curve are consistent with each other in the past set period of time, includes any one of the following determination situations:
the first determination case: the control unit 104 is specifically further configured to determine that the operation trends of the predicted temperature change reference curve and the measured temperature change curve in a set period in the past are consistent if the operation trends of the predicted temperature change reference curve and the measured temperature change curve in the set period in the past are both an ascending trend or both a descending trend or both horizontal trends.
Second determination case: the control unit 104 is further specifically configured to determine that the predicted temperature change reference curve and the measured temperature change curve do not coincide with each other in the past set period if the operation trends of the predicted temperature change reference curve and the measured temperature change curve in the past set period are one of an upward trend and another of a downward trend and another of an upward trend or one of an upward trend and another of a horizontal trend or one of a downward trend and another of a horizontal trend or one of a horizontal trend and another of a downward trend.
The control unit 104 is specifically further configured to predict an outdoor dry bulb temperature of the air conditioner in a set period in the future according to the predicted temperature change reference curve if the predicted temperature change reference curve is consistent with an operation trend of the measured temperature change curve in a set period in the past, so as to obtain a predicted outdoor dry bulb temperature. The specific functions and processes of the control unit 104 are also referred to in step S220.
In some embodiments, the control unit 104, predicting the outdoor dry bulb temperature of the air conditioner within a set period of time in the future according to the predicted temperature variation reference curve, includes: the control unit 104 is further specifically configured to determine a current weather forecast temperature value and a next weather forecast temperature value in the predicted temperature change reference curve, and calculate a predicted value of the next actual measured temperature value according to a position of the current weather forecast temperature value on the predicted temperature change reference curve, a slope of a straight line connecting the current weather forecast temperature value and the next weather forecast temperature value on the predicted temperature change reference curve, and the current actual measured temperature value.
Specifically, if the outdoor dry bulb temperature curve predicted by the weather forecast is consistent with the trend of the real-time outdoor dry bulb temperature curve actually measured on the current day in the previous operation stage, the outdoor dry bulb temperature variation trend and the approximate temperature value near the data center in the next stage are predicted according to the next-stage outdoor dry bulb temperature variation curve predicted by the weather forecast at the current moment.
Taking the time period from time T0 to time T1 in fig. 5 as an example, it is assumed that the current operating time point of the unit is T1, since the measured outdoor dry bulb temperature curve rises in fluctuation during the period from the time T0 to the time T1, the trend of the measured outdoor dry bulb temperature curve is the same as that of the outdoor dry bulb temperature change curve predicted by weather forecast, therefore, the temperature change situation of the actual outdoor dry bulb temperature at the next moment is predicted to be the same as the outdoor dry bulb temperature change curve trend predicted by the weather forecast, the temperature change situation is the rising trend, and finally the rising amount of the outdoor dry bulb temperature is determined by the slope of a straight line obtained by connecting the outdoor dry bulb temperature value predicted by the weather forecast at the next moment and the outdoor dry bulb temperature value predicted by the weather forecast at the current moment, and calculating to obtain a predicted value A' of the outdoor dry bulb temperature at the next moment according to the slope, and using the temperature value as an adopted value for whether the unit mode switching is carried out at the next moment.
And starting timing at the moment, setting time delta Ta, and judging whether the outdoor dry bulb temperature values adopted when the unit carries out mode switching are the predicted temperature values in the period of time. After the delta Ta time period is operated, the trend of the outdoor dry bulb temperature curve actually measured in the current day of operation in the delta Ta time period and the trend of the outdoor dry bulb temperature change curve predicted by weather forecast is judged, if the trend of the curve is consistent, the outdoor dry bulb temperature at the next moment is continuously predicted in the mode, for example, data of time T2-time T3 are obtained. Therefore, misoperation of unit mode conversion caused by the measured temperature mutation point in the section A shown by the time T1-time T2 is avoided.
If the weather forecast predicts that the outdoor dry bulb temperature curve is inconsistent with the trend of the real-time outdoor dry bulb temperature curve actually measured on the current day in the next operation stage, the change trend and the approximate temperature value of the outdoor dry bulb temperature near the data center of the next stage are predicted according to the slope of a straight line obtained by connecting the actually measured dry bulb temperature value of the outdoor dry bulb temperature curve on the unit at the previous moment and the actually measured temperature value at the current moment on the current day. The slope of the temperature change curve is in smooth transition, and the temperature change curve is smooth without considering the sudden change condition.
The control unit 104 is specifically further configured to predict an outdoor dry bulb temperature of the air conditioner in a set period in the future according to the measured temperature change curve if the operation trends of the predicted temperature change reference curve and the measured temperature change curve in a set period in the past are inconsistent, so as to obtain a predicted outdoor dry bulb temperature. The specific function and processing of the control unit 104 are also referred to in step S230.
Therefore, the outdoor dry bulb temperature curve of the current day of operation is compared with the outdoor dry bulb temperature curve predicted by the weather forecast in real time, the slope transition of the outdoor dry bulb temperature curve of the current day of operation is measured, the curve is smoothly processed and judged, the outdoor dry bulb temperature trend and the approximate temperature value of the next moment of time are predicted through the combined control of the outdoor dry bulb temperature curve and the curve, the misoperation of a unit caused by sudden change or instability of the real-time monitored temperature is reduced, the system is more stable in operation, the insufficient refrigerating capacity caused by frequent and transient switching modes is avoided, and the temperature and humidity fluctuation of a data center is smaller.
In some embodiments, the predicting, by the control unit 104, the outdoor dry bulb temperature of the air conditioner within a set period of time in the future according to the measured temperature variation curve includes: the control unit 104 is further specifically configured to determine a current actual temperature value and a previous actual temperature value in the actual temperature change curve, and calculate a predicted value of the actual temperature value at a next time according to a position of the previous actual temperature value on the actual temperature change curve, a slope of a straight line connecting the current actual temperature value and the position of the current actual temperature value on the actual temperature change curve, and the current actual temperature value.
Specifically, if the weather forecast predicts that the outdoor dry bulb temperature curve is inconsistent with the trend of the real-time outdoor dry bulb temperature curve actually measured on the current day in the last operation stage, the trend of the change of the outdoor dry bulb temperature near the data center of the next stage and the approximate temperature value are predicted according to the slope of a straight line obtained by connecting the actually measured dry bulb temperature value of the outdoor dry bulb temperature curve actually measured on the current day on the unit at the last moment and the actually measured temperature value at the current moment. The slope of the temperature change curve is in smooth transition, and the temperature change curve is smooth without considering the sudden change condition.
Taking the time period T3-time period T4 in fig. 5 as an example, assuming that the current operating time point of the unit is time T4, since the outdoor dry bulb temperature curve trend is rising as measured on the day of the operation of the period between time T3 and time T4, the weather forecast predicts that the trend of the outdoor dry bulb temperature curve is reduced and the trend of the outdoor dry bulb temperature curve is inconsistent, the time length of the time interval from T3 to T4 is longer than or equal to the set time interval delta Ta, so that at the next moment, the outdoor dry bulb temperature value is determined by the slope of a straight line obtained by connecting the measured dry bulb temperature value at the last moment of the unit with the measured temperature value at the current moment and the measured temperature value at the current moment (the time interval of each moment of the unit is set to delta Tb, the delta Tb is set in advance, for example, 5min), and obtaining a predicted temperature value at the next moment through calculation, and using the temperature value as an adopted value for whether the unit mode is switched at the next moment.
And starting timing at the moment, setting time delta Ta, and judging whether the outdoor dry bulb temperature values adopted when the unit carries out mode switching are the predicted temperature values in the period of time. After the delta Ta time period is operated, the trend of the outdoor dry bulb temperature curve actually measured on the same day of operation in the delta Ta time period and the trend of the outdoor dry bulb temperature change curve predicted by weather forecast are judged, and the steps are circularly judged. Therefore, the misoperation of unit mode conversion caused by the measured temperature mutation point of the section B shown in T4-T5 is avoided.
Whether the switching mode of the unit is determined by the predicted temperature value and the actually-measured dry bulb temperature in the next stage of operation or not is determined by the predicted temperature value and the actually-measured dry bulb temperature, and the specific temperature value at the current moment is not determined independently, so that the misoperation of the unit caused by sudden or unstable real-time monitored air temperature (such as an A section shown by T1-T2, a B section shown by T5-T6 and a C section shown by T8-T9 in the figure 5) is reduced, the frequent starting and stopping of a compressor or a fluorine pump is reduced, and the operation of a fluorine pump refrigeration system is safer and more effective.
The control unit 104 is further configured to control the air conditioner to switch between different operation modes of the fluorine pump and the compressor according to the predicted outdoor dry bulb temperature. The specific function and processing of the control unit 104 are also referred to in step S140.
Specifically, a real-time outdoor dry bulb temperature change curve is drawn through actually measured outdoor environment temperature changes (namely current outdoor environment temperature changes during the running of the unit) during the running period of the unit, and the outdoor dry bulb temperature change curve is compared with an outdoor dry bulb temperature change curve predicted by weather forecast to judge the outdoor dry bulb temperature change trend and the outdoor dry bulb temperature value of the unit in the next time period.
In some embodiments, the air conditioner operates in different operating modes of the fluorine pump and the compressor, including: a fluorine pump running mode in which the fluorine pump is running and the compressor is not running, a compressor running mode in which the fluorine pump is not running and the compressor is running, and a hybrid running mode in which the fluorine pump is running and the compressor is running.
The control unit 104 controls the air conditioner to switch between different operation modes of the fluorine pump and the compressor according to the predicted outdoor dry bulb temperature, and includes any one of the following control situations:
the first control scenario: the control unit 104 is specifically configured to control the air conditioner to operate in the compressor operation mode if the predicted outdoor dry bulb temperature is greater than the upper limit (for example, 20 ℃) of the set temperature range. For example: when the outdoor temperature is higher than 20 ℃, a mechanical refrigeration mode is adopted, and a compressor needs to be started for refrigeration as in the air-cooled air conditioner.
The second control scenario: the control unit 104 is specifically configured to control the air conditioner to operate in the hybrid operation mode if the predicted outdoor dry bulb temperature is greater than or equal to a lower limit of the set temperature range and less than or equal to an upper limit (for example, 20 ℃) of the set temperature range. For example: when the outdoor temperature is higher than or equal to 10 ℃ and lower than or equal to 20 ℃, the fluorine pump natural cooling module is started to work but cannot provide the required full refrigerating capacity, the fluorine pump natural cooling module and the compressor are started simultaneously, the energy-saving module can effectively reduce the starting and running time of the compressor, so that the air conditioning equipment runs in a mixed energy-saving mode, and the energy efficiency ratio of the whole machine is high.
The third control scenario: the control unit 104 is specifically configured to control the air conditioner to operate in the fluorine pump operation mode if the predicted outdoor dry bulb temperature is less than a lower limit (e.g., 10 ℃) of the set temperature range. For example: when the outdoor temperature is less than 10 ℃, the compressor is closed, the refrigerant exchanges heat with outdoor air in the condenser under the pushing of the fluorine pump natural cooling module, a natural cold source is brought into the machine room, the compressor does not need to be started at this time, and the operation energy consumption is reduced.
Therefore, based on the outdoor dry bulb temperature change curve actually measured by the unit, the sudden change temperature value is coped with by smooth processing through the change trend of the slope of the curve, and the local fluctuation of the outdoor curve actually measured is reduced. Therefore, the misoperation of the unit caused by sudden change or instability of the real-time monitored air temperature can be reduced, the frequent starting and stopping of the compressor or the fluorine pump are reduced, and the operation of the fluorine pump refrigerating system is safer and more effective. Whether the control of the unit operation mode is appropriate or not can be judged in advance, the problems that the refrigerating capacity of a system is unstable due to misoperation of the unit and the temperature and humidity fluctuation of a data center is large when the mode switching is carried out in the operation process of the fluorine pump dual-cycle air conditioner only depends on the actually-measured real-time outdoor dry bulb temperature, and the actually-measured real-time outdoor dry bulb temperature changes or is unstable for a short time, the fluorine pump or the compressor is frequently started and stopped, so that the temperature and humidity of the data center are stable, the system is stable in operation, the shortage of the refrigerating capacity due to frequent and transient switching modes is avoided, the temperature and humidity fluctuation of the data center is small, and the temperature and humidity of the data center can be guaranteed to be stable.
Since the processes and functions implemented by the apparatus of this embodiment substantially correspond to the embodiments, principles and examples of the method shown in fig. 1 to 2, the description of this embodiment is not detailed, and reference may be made to the related descriptions in the foregoing embodiments, which are not repeated herein.
Through a large number of tests, the technical scheme of the invention is adopted, and the outdoor dry bulb temperature change curve predicted by weather forecast is formed by acquiring the latest local weather forecast data; the outdoor temperature change trend of the unit in the next time period and the temperature value of the outdoor dry bulb are judged by comparing the real-time outdoor dry bulb temperature change curve with the outdoor dry bulb temperature change curve predicted by weather forecast through actually measuring the outdoor ambient temperature change during the unit operation period, so that the mode switching control is carried out through the outdoor dry bulb temperature change, the fluctuation of the climate large period is avoided, the meteorological parameters are ensured to be more accurate after the processing, the data accuracy and timeliness are ensured, and the temperature and humidity of a data center can be ensured to be more stable.
According to an embodiment of the present invention, there is also provided an air conditioner corresponding to an operation control device of the air conditioner. The air conditioner may include: the operation control device of the air conditioner described above.
In the related scheme, the fluorine pump dual-cycle air conditioner switches the refrigeration modes through the temperature change of the outdoor dry bulb, and the refrigeration modes corresponding to different outdoor dry bulb temperature ranges are mainly as follows:
when the outdoor temperature is higher than 20 ℃, a mechanical refrigeration mode is adopted, and a compressor needs to be started for refrigeration as in the air-cooled air conditioner.
When the outdoor temperature is less than 10 ℃, the compressor is closed, the refrigerant exchanges heat with outdoor air in the condenser under the pushing of the fluorine pump natural cooling module, a natural cold source is brought into the machine room, the compressor does not need to be started at this time, and the operation energy consumption is reduced.
When the outdoor temperature is higher than or equal to 10 ℃ and lower than or equal to 20 ℃, the fluorine pump natural cooling module is started to work but cannot provide the required full refrigerating capacity, the fluorine pump natural cooling module and the compressor are started simultaneously, the energy-saving module can effectively reduce the starting and running time of the compressor, so that the air conditioning equipment runs in a mixed energy-saving mode, and the energy efficiency ratio of the whole machine is high.
In a related scheme, mode switching in the operation process of the fluorine pump dual-cycle air conditioner can only depend on the actually measured real-time outdoor dry bulb temperature, when the actually measured real-time outdoor dry bulb temperature changes or is unstable for a short time, a fluorine pump or a compressor is frequently started and stopped, and the refrigerating capacity of a system is unstable due to misoperation of a unit, so that the temperature and humidity of a data center fluctuate greatly.
In some embodiments, the invention provides a method for controlling the operation of a fluorine pump dual-cycle air conditioner, which obtains local latest weather forecast data through remote control or wireless data communication, and forms an outdoor dry bulb temperature change curve predicted by the weather forecast as a control judgment comparison condition. The outdoor dry bulb temperature change trend of the unit in the next time period and the temperature value of the outdoor dry bulb are judged by drawing a real-time outdoor dry bulb temperature change curve through actually measuring the outdoor environment temperature change (namely the current outdoor environment temperature change in the unit operation period) in the unit operation period and comparing the real-time outdoor dry bulb temperature change curve with the outdoor dry bulb temperature change curve predicted by weather forecast.
The weather forecast prediction data is updated at any time, and is corrected at any time through processing operation of an AI technology (namely an artificial intelligence technology), so that the fluctuation of a weather large period is avoided, weather parameters are ensured to be more accurate after processing, and the accuracy and the timeliness of the data are ensured.
According to the scheme, based on the outdoor dry bulb temperature change curve actually measured by the unit, the sudden change temperature value is coped with by smooth processing through the change trend of the slope of the curve, so that the local fluctuation of the outdoor curve actually measured is reduced. Therefore, the misoperation of the unit caused by sudden change or instability of the real-time monitored air temperature can be reduced, the frequent starting and stopping of the compressor or the fluorine pump are reduced, and the operation of the fluorine pump refrigerating system is safer and more effective; whether the control of the unit operation mode is appropriate or not can be judged in advance, the problem that the control of a fluorine pump system is insufficient in a related scheme is solved, namely, the mode switching in the operation process of the fluorine pump dual-cycle air conditioner can only depend on the actually-measured real-time outdoor dry bulb temperature, when the actually-measured real-time outdoor dry bulb temperature is suddenly changed or unstable for a short time, the fluorine pump or the compressor is frequently started and stopped, the refrigerating capacity of the system is unstable due to misoperation of the unit, and the temperature and humidity of the data center are large in fluctuation, so that the system is more stable in operation, the problem that the refrigerating capacity is insufficient due to frequent and transient switching modes is avoided, the temperature and humidity fluctuation of the data center is smaller, and the temperature and humidity of the data center can be more stable.
Therefore, the scheme of the invention can ensure the temperature and humidity stability of the data center, simultaneously more reasonably switch the operation mode of the air conditioner in the machine room, realize the low-energy-consumption operation of the air conditioner in the machine room, is not only suitable for a fluorine pump system, but also suitable for other air conditioners or heat pump systems which involve the outdoor dry bulb temperature to participate in the operation mode switching of the control system.
The following describes an exemplary implementation process of the scheme of the present invention with reference to the examples shown in fig. 4 and fig. 5.
Fig. 4 is a schematic structural diagram of an embodiment of a refrigeration system of a fluorine pump dual cycle air conditioning system.
In the refrigeration cycle system of the related scheme, a compressor, an oil separator, a condenser, a liquid storage tank, an expansion valve and an evaporator are connected in sequence. The control system for switching the operation modes of the compressor and the fluorine pump, which is provided by the scheme of the invention, is a refrigerating system of a fluorine pump double-circulation air conditioning system shown in fig. 4, and is different from a refrigerating circulation system in related schemes, wherein the fluorine pump is added between a liquid storage tank and an expansion valve, two ends of the fluorine pump are connected with a one-way valve A in parallel, and two ends of the compressor are connected with a one-way valve B in parallel. When the compressor runs in a mode, the refrigerant flows through the branch A of the one-way valve; when the fluorine pump operates in the mode, the refrigerant flows through the branch B of the check valve. It should be noted that some auxiliary components of the refrigeration system of the fluorine pump dual cycle air conditioning system, such as pressure sensors, temperature sensors, controllers, etc., are not shown in fig. 4.
FIG. 5 is a graph illustrating the operating curves of an embodiment of a fluorine pump dual cycle air conditioning system.
The scheme of the invention provides a method for controlling the operation of a fluorine pump dual-cycle air conditioner, which is shown in figure 5. It should be noted that the control method is not only applicable to the fluorine pump dual-cycle air conditioning system shown in fig. 4, but also applicable to other systems such as an air conditioner or a heat pump, etc. which involve the control of the system operation mode switching by the outdoor dry bulb temperature, and fig. 4 is only an example.
Fig. 5 can show the control principle when the fluorine pump dual cycle air conditioning system is operated. The control principle when the fluorine pump double-circulation air conditioning system operates is as follows: local latest weather forecast data is acquired through remote control or wireless data communication, and an outdoor dry bulb temperature change curve predicted by weather forecast is formed and is used as a control judgment comparison condition (a weather forecast predicted outdoor dry bulb temperature curve S2 shown by a solid line in FIG. 5). It should be noted that the weather forecast prediction data needs to be updated at any time, and the correction is performed at any time (as shown in the real-time correction area in fig. 5) through AI technical processing operation, so that the fluctuation of the weather in a large period is avoided, the weather parameters are ensured to be more accurate after the processing, and the timeliness of the outdoor weather parameters predicted by the weather forecast is ensured.
Furthermore, a real-time outdoor dry bulb temperature change curve (an outdoor dry bulb temperature curve S1 of the current day of operation shown by a dotted line in FIG. 5) actually measured on the current day of operation is drawn according to the current outdoor environment temperature change during the operation of the unit, and the outdoor dry bulb temperature change trend and the value of the outdoor dry bulb temperature in the next time period of the unit are judged by comparing the real-time outdoor dry bulb temperature change curve of the current day of operation with the outdoor dry bulb temperature change curve of the weather forecast. It should be noted that the data of the weather forecast, which is usually the data of the weather station closest to the place where the unit is used, may have deviation (as shown by temperature deviation Δ t in fig. 5) from the data around the current data center due to the influence of factors such as distance, altitude, and city microclimate, but the trend should be approximately similar, so that the data deviation can be adopted for processing, i.e. the data deviation can be ignored.
Specifically, if the outdoor dry bulb temperature curve predicted by the weather forecast is consistent with the trend of the real-time outdoor dry bulb temperature curve actually measured on the current day in the previous operation stage, the outdoor dry bulb temperature variation trend and the approximate temperature value near the data center in the next stage are predicted according to the next-stage outdoor dry bulb temperature variation curve predicted by the weather forecast at the current moment.
Taking the time interval between time T0 and time T1 in fig. 5 as an example, assuming that the current time point of the unit operation is T1, since the measured outdoor dry bulb temperature curve of the current day rises in fluctuation in the time interval between time T0 and time T1 and has the same trend as the predicted outdoor dry bulb temperature change curve of the weather forecast, the predicted temperature change of the actual outdoor dry bulb temperature of the current day at the next time is also the same trend as the predicted temperature change curve of the outdoor dry bulb temperature of the weather forecast, here, the rising trend is the final temperature rise of the outdoor dry bulb, the slope K of the straight line connecting the predicted outdoor dry bulb temperature value of the current time and the predicted outdoor dry bulb temperature value of the current time predicted at the next time predicted by the weather forecast and the measured temperature value T1 of the current time are determined together, the time interval of each time is set as Δ, the predicted outdoor dry bulb temperature value T at the next time can be calculated according to the formula T Tb K Δ + T1, and taking the temperature value as an adopted value when the unit mode is switched at the next moment.
And starting timing at the moment, setting time delta Ta, and judging whether the outdoor dry bulb temperature values adopted when the unit carries out mode switching are the predicted temperature values in the period of time. After the delta Ta time period is operated, the trend of the outdoor dry bulb temperature curve actually measured in the current day of operation in the delta Ta time period and the trend of the outdoor dry bulb temperature change curve predicted by weather forecast is judged, if the trend of the curve is consistent, the outdoor dry bulb temperature at the next moment is continuously predicted in the mode, for example, data of time T2-time T3 are obtained. Therefore, misoperation of unit mode conversion caused by the measured temperature mutation point in the section A shown by the time T1-time T2 is avoided.
If the weather forecast predicts that the outdoor dry bulb temperature curve is inconsistent with the trend of the real-time outdoor dry bulb temperature curve actually measured on the current day in the last operation stage, the slope of a straight line obtained by connecting the actually measured dry bulb temperature value at the last moment of the unit with the actually measured temperature value at the current moment and the actually measured temperature value at the current moment are determined (the time interval of each moment of the unit is set to be delta Tb, and delta Tb is set in advance, for example, 5min), the temperature predicted value at the next moment can be obtained through calculation, the slope of the temperature change curve is in smooth transition, and the smooth processing of the temperature change curve is carried out without considering the sudden change condition.
Taking the time period from T3 to T4 in fig. 5 as an example, assuming that the current time point of the unit operation is time T4, since the trend of the measured outdoor dry bulb temperature curve during the current day is increased and the trend of the weather forecast predicted outdoor dry bulb temperature curve is decreased, the trends of the two curves are not consistent, and the time periods from T3 to T4 are longer than or equal to the set time period Δ Ta (in this time period, the predicted temperature value is used for the mode switching), at the next time, the outdoor dry bulb temperature value T is determined by the straight slope K 'obtained by connecting the measured dry bulb temperature value at the previous time of the measured dry bulb temperature curve during the actual operation and the measured temperature value at the current time and the measured temperature value T4 at the current time (the time interval at each time of the unit is set to Δ Tb, Δ Tb min in advance, for example, 5), and the predicted temperature value T at the next time is calculated by the formula T being K' + T4, and taking the temperature value as an adopted value when the unit mode is switched at the next moment.
And starting timing at the moment, setting time delta Ta, and judging whether the outdoor dry bulb temperature values adopted when the unit carries out mode switching are the predicted temperature values in the period of time. After the delta Ta time period is operated, the trend of the outdoor dry bulb temperature curve actually measured on the same day of operation in the delta Ta time period and the trend of the outdoor dry bulb temperature change curve predicted by weather forecast are judged, and the steps are circularly judged. Therefore, the misoperation of unit mode conversion caused by the measured temperature mutation point of the section B shown in T4-T5 is avoided.
It is emphasized that whether the unit is switched to the mode in the next stage of operation is determined by the predicted temperature value and the actually measured dry bulb temperature together, and is not determined by the specific temperature value at the current moment independently, so that the misoperation of the unit caused by sudden or unstable real-time monitored air temperature (such as section a shown in T1-T2, section B shown in T5-T6 and section C shown in T8-T9 in fig. 5) is reduced, frequent start and stop of the compressor or the fluorine pump are reduced, and the operation of the fluorine pump refrigeration system is safer and more effective.
Fig. 5 is only an example, the actual temperature fluctuation situation between one day is not as severe as that of fig. 5, and fig. 5 is only for clarity of description of the control principle.
Therefore, according to the scheme of the invention, the outdoor dry bulb temperature curve on the current day of operation is compared with the outdoor dry bulb temperature curve predicted by the weather forecast in real time, the slope transition of the curve of the outdoor dry bulb temperature curve measured on the current day of operation and the curve smoothing processing judgment are carried out, and the curve smoothing processing judgment are jointly controlled to achieve the purpose of prejudging the outdoor dry bulb temperature trend and the approximate temperature value at the next moment, so that the misoperation of a unit caused by sudden or unstable temperature monitored in real time is reduced, the system is more stable in operation, the insufficient refrigerating capacity caused by frequent and transient switching modes is avoided, and the temperature and humidity fluctuation of a data center is smaller.
Since the processing and functions of the air conditioner of this embodiment are basically corresponding to the embodiments, principles and examples of the apparatus shown in fig. 3, the description of this embodiment is not given in detail, and reference may be made to the related descriptions in the embodiments, which are not described herein again.
Through a large number of tests, the technical scheme of the invention is adopted, and the outdoor dry bulb temperature change curve predicted by weather forecast is formed by acquiring the latest local weather forecast data; the outdoor temperature change trend of the unit at the next time period and the temperature value of the outdoor dry bulb are judged by actually measuring the outdoor ambient temperature change during the running period of the unit, drawing a real-time outdoor dry bulb temperature change curve and comparing the real-time outdoor dry bulb temperature change curve with the outdoor dry bulb temperature change curve predicted by weather forecast, so that the mode switching control is carried out through the outdoor dry bulb temperature change, the misoperation of the unit caused by sudden change or instability of the real-time monitored temperature can be reduced, and the frequent starting and stopping of the compressor or the fluorine pump are reduced.
According to an embodiment of the present invention, there is also provided a storage medium corresponding to an operation control method of an air conditioner, the storage medium including a stored program, wherein the apparatus on which the storage medium is located is controlled to execute the operation control method of the air conditioner described above when the program is executed.
Since the processing and functions implemented by the storage medium of this embodiment substantially correspond to the embodiments, principles, and examples of the methods shown in fig. 1 to fig. 2, details are not described in the description of this embodiment, and reference may be made to the related descriptions in the foregoing embodiments, which are not described herein again.
Through a large number of tests, the technical scheme of the invention is adopted, and the outdoor dry bulb temperature change curve predicted by weather forecast is formed by acquiring the latest local weather forecast data; the outdoor ambient temperature change is actually measured during the operation period of the unit, a real-time outdoor dry bulb temperature change curve graph is drawn, and the outdoor dry bulb temperature change curve graph is compared with an outdoor dry bulb temperature change curve predicted by weather forecast to judge the outdoor dry bulb temperature change trend and the outdoor dry bulb temperature value in the next time period of the unit, so that the mode switching control is carried out through the outdoor dry bulb temperature change, whether the control of the unit operation mode is proper or not can be judged in advance, the operation mode of the air conditioner of the machine room is switched more reasonably, and the low-energy-consumption operation of the air conditioner of the machine room is realized.
According to an embodiment of the present invention, there is also provided a processor corresponding to an operation control method of an air conditioner, the processor being configured to execute a program, wherein the program executes the operation control method of the air conditioner described above.
Since the processing and functions implemented by the processor of this embodiment substantially correspond to the embodiments, principles, and examples of the methods shown in fig. 1 to fig. 2, details are not described in the description of this embodiment, and reference may be made to the related descriptions in the foregoing embodiments, which are not described herein again.
Through a large number of tests, the technical scheme of the invention is adopted, and the outdoor dry bulb temperature change curve predicted by weather forecast is formed by acquiring the latest local weather forecast data; the outdoor temperature change trend of the unit at the next time period and the temperature value of the outdoor dry bulb are judged by actually measuring the outdoor ambient temperature change during the running period of the unit, drawing a real-time outdoor dry bulb temperature change curve graph and comparing the real-time outdoor dry bulb temperature change curve with the outdoor dry bulb temperature change curve predicted by weather forecast, so that the mode switching control is carried out through the outdoor dry bulb temperature change, the problem of insufficient control of a fluorine pump system in a related scheme is solved, and the temperature and the humidity of a data center can be guaranteed to be more stable.
In summary, it is readily understood by those skilled in the art that the advantageous modes described above can be freely combined and superimposed without conflict.
The above description is only an example of the present invention, and is not intended to limit the present invention, and it is obvious to those skilled in the art that various modifications and variations can be made in the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims (11)

1. An operation control method of an air conditioner, characterized in that the air conditioner includes: fluorine pumps and compressors; the operation control method of the air conditioner comprises the following steps:
acquiring an outdoor dry bulb temperature change curve predicted by weather forecast of the location of the air conditioner as a predicted temperature change reference curve;
acquiring an actually measured outdoor dry bulb temperature change curve of the air conditioner as an actually measured temperature change curve;
comparing the predicted temperature change reference curve with the actually measured temperature change curve, and predicting the outdoor dry bulb temperature of the air conditioner within a set time period in the future to serve as the predicted outdoor dry bulb temperature; wherein, comparing the predicted temperature change reference curve with the actually measured temperature change curve to predict the outdoor dry bulb temperature of the air conditioner in a set period of time in the future comprises:
determining whether the operation trends of the predicted temperature change reference curve and the measured temperature change curve in a set period of time in the past are consistent;
if the operation trend of the predicted temperature change reference curve and the actual temperature change curve in a past set time interval is consistent, predicting the outdoor dry bulb temperature of the air conditioner in a future set time interval according to the predicted temperature change reference curve, and the method comprises the following steps: determining a weather forecast temperature value at the current moment and a weather forecast temperature value at the next moment in the forecast temperature change reference curve, and calculating a predicted value of the actual measurement temperature value at the next moment according to the position of the weather forecast temperature value at the current moment on the forecast temperature change reference curve, the slope of a straight line obtained by connecting the position of the weather forecast temperature value at the next moment on the forecast temperature change reference curve and the actual measurement temperature value at the current moment;
if the operation trends of the predicted temperature change reference curve and the actually measured temperature change curve in a past set time interval are not consistent, predicting the outdoor dry bulb temperature of the air conditioner in a future set time interval according to the actually measured temperature change curve, wherein the method comprises the following steps: determining a current actual measurement temperature value and a previous actual measurement temperature value in the actual measurement temperature change curve, and calculating a predicted value of the actual measurement temperature value at the next moment according to the position of the previous actual measurement temperature value on the actual measurement temperature change curve, the slope of a straight line connected with the current actual measurement temperature value on the actual measurement temperature change curve and the current actual measurement temperature value;
and controlling the air conditioner to switch between different operation modes of a fluorine pump and a compressor according to the predicted outdoor dry bulb temperature.
2. The operation control method of an air conditioner according to claim 1, wherein,
obtaining an outdoor dry bulb temperature change curve predicted by weather forecast of the location of the air conditioner, wherein the outdoor dry bulb temperature change curve comprises the following steps:
acquiring weather forecast data of the location of the air conditioner, and generating an outdoor dry bulb temperature change curve predicted by weather forecast based on the weather forecast data to serve as a predicted temperature change reference curve;
wherein, the weather forecast data can be updated according to a set period;
obtaining an actually measured outdoor dry bulb temperature change curve of the air conditioner, comprising:
and acquiring outdoor environment temperature change data during the operation of the air conditioner, and generating an actually measured outdoor dry bulb temperature change curve based on the outdoor environment temperature change data to serve as the actually measured temperature change curve.
3. The operation control method of an air conditioner according to claim 1, wherein determining whether the predicted temperature variation reference curve and the measured temperature variation curve are consistent in operation tendency in a past set period of time includes:
if the operation trends of the predicted temperature change reference curve and the actually measured temperature change curve in a set period in the past are both ascending trends or both descending trends or both horizontal trends, determining that the operation trends of the predicted temperature change reference curve and the actually measured temperature change curve in the set period in the past are consistent;
and if the operation trends of the predicted temperature change reference curve and the measured temperature change curve in a set period in the past are an ascending trend and a descending trend or a descending trend and a horizontal trend or a horizontal trend and a descending trend, determining that the operation trends of the predicted temperature change reference curve and the measured temperature change curve in the set period in the past are not consistent.
4. The operation control method of an air conditioner according to any one of claims 1 to 3, wherein the air conditioner is in different operation modes of a fluorine pump and a compressor, comprising: a fluorine pump operation mode in which the fluorine pump is operated and the compressor is not operated, a compressor operation mode in which the fluorine pump is not operated and the compressor is operated, and a hybrid operation mode in which the fluorine pump is operated and the compressor is operated;
controlling the air conditioner to switch between different operation modes of a fluorine pump and a compressor according to the predicted outdoor dry bulb temperature, wherein the method comprises the following steps:
if the predicted outdoor dry bulb temperature is larger than the upper limit of the set temperature range, controlling the air conditioner to operate in a compressor operation mode;
if the predicted outdoor dry bulb temperature is greater than or equal to the lower limit of the set temperature range and less than or equal to the upper limit of the set temperature range, controlling the air conditioner to operate in a hybrid operation mode;
and if the predicted outdoor dry bulb temperature is smaller than the lower limit of the set temperature range, controlling the air conditioner to operate in a fluorine pump operation mode.
5. An operation control device of an air conditioner, characterized in that the air conditioner comprises: fluorine pumps and compressors; the operation control device of the air conditioner includes:
an acquisition unit configured to acquire an outdoor dry bulb temperature change curve predicted by a weather forecast of a location where the air conditioner is located, as a predicted temperature change reference curve;
the obtaining unit is further configured to obtain an actually measured outdoor dry bulb temperature change curve of the air conditioner as an actually measured temperature change curve;
a control unit configured to compare the predicted temperature change reference curve with the measured temperature change curve and predict an outdoor dry bulb temperature of the air conditioner within a set period of time in the future as a predicted outdoor dry bulb temperature; wherein the control unit compares the predicted temperature change reference curve with the actually measured temperature change curve to predict the outdoor dry bulb temperature of the air conditioner within a set period of time in the future, and comprises:
determining whether the operation trends of the predicted temperature change reference curve and the measured temperature change curve in a set period of time in the past are consistent;
if the operation trend of the predicted temperature change reference curve and the actual temperature change curve in a past set time interval is consistent, predicting the outdoor dry bulb temperature of the air conditioner in a future set time interval according to the predicted temperature change reference curve, and the method comprises the following steps: determining a weather forecast temperature value at the current moment and a weather forecast temperature value at the next moment in the forecast temperature change reference curve, and calculating a predicted value of the actual measurement temperature value at the next moment according to the position of the weather forecast temperature value at the current moment on the forecast temperature change reference curve, the slope of a straight line obtained by connecting the position of the weather forecast temperature value at the next moment on the forecast temperature change reference curve and the actual measurement temperature value at the current moment;
if the operation trends of the predicted temperature change reference curve and the actually measured temperature change curve in a past set time interval are not consistent, predicting the outdoor dry bulb temperature of the air conditioner in a future set time interval according to the actually measured temperature change curve, wherein the method comprises the following steps:
determining a current actual measurement temperature value and a previous actual measurement temperature value in the actual measurement temperature change curve, and calculating a predicted value of the actual measurement temperature value at the next moment according to the position of the previous actual measurement temperature value on the actual measurement temperature change curve, the slope of a straight line connected with the current actual measurement temperature value on the actual measurement temperature change curve and the current actual measurement temperature value;
the control unit is further configured to control the air conditioner to switch between different operation modes of a fluorine pump and a compressor according to the predicted outdoor dry bulb temperature.
6. The operation control device of an air conditioner according to claim 5, wherein,
the acquiring unit acquires an outdoor dry bulb temperature change curve predicted by weather forecast of the location of the air conditioner, and comprises:
acquiring weather forecast data of the location of the air conditioner, and generating an outdoor dry bulb temperature change curve predicted by weather forecast based on the weather forecast data to serve as a predicted temperature change reference curve;
wherein, the weather forecast data can be updated according to a set period;
the acquisition unit acquires the actually measured outdoor dry bulb temperature change curve of the air conditioner, and comprises:
and acquiring outdoor environment temperature change data during the operation of the air conditioner, and generating an actually measured outdoor dry bulb temperature change curve based on the outdoor environment temperature change data to serve as the actually measured temperature change curve.
7. The operation control device of an air conditioner according to claim 5, wherein the control unit determines whether the predicted temperature variation reference curve and the measured temperature variation curve are consistent in operation tendency in a past set period of time, including:
if the operation trends of the predicted temperature change reference curve and the actually measured temperature change curve in a set period in the past are both ascending trends or both descending trends or both horizontal trends, determining that the operation trends of the predicted temperature change reference curve and the actually measured temperature change curve in the set period in the past are consistent;
and if the operation trends of the predicted temperature change reference curve and the measured temperature change curve in a set period in the past are an ascending trend and a descending trend or a descending trend and a horizontal trend or a horizontal trend and a descending trend, determining that the operation trends of the predicted temperature change reference curve and the measured temperature change curve in the set period in the past are not consistent.
8. The operation control device of an air conditioner according to any one of claims 5 to 7, wherein the air conditioner is in different operation modes of a fluorine pump and a compressor, and comprises: a fluorine pump operation mode in which the fluorine pump is operated and the compressor is not operated, a compressor operation mode in which the fluorine pump is not operated and the compressor is operated, and a hybrid operation mode in which the fluorine pump is operated and the compressor is operated;
the control unit controls the air conditioner to switch between different operation modes of a fluorine pump and a compressor according to the predicted outdoor dry bulb temperature, and comprises:
if the predicted outdoor dry bulb temperature is larger than the upper limit of the set temperature range, controlling the air conditioner to operate in a compressor operation mode;
if the predicted outdoor dry bulb temperature is greater than or equal to the lower limit of the set temperature range and less than or equal to the upper limit of the set temperature range, controlling the air conditioner to operate in a hybrid operation mode;
and if the predicted outdoor dry bulb temperature is smaller than the lower limit of the set temperature range, controlling the air conditioner to operate in a fluorine pump operation mode.
9. An air conditioner, comprising: an operation control device of an air conditioner according to any one of claims 5 to 8.
10. A storage medium characterized by comprising a stored program, wherein an apparatus in which the storage medium is located is controlled to execute the operation control method of the air conditioner according to any one of claims 1 to 4 when the program is executed.
11. A processor for executing a program, wherein the program executes the operation control method of the air conditioner according to any one of claims 1 to 4.
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