CN115371209A - Air conditioner defrosting time prediction method and device - Google Patents
Air conditioner defrosting time prediction method and device Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/41—Defrosting; Preventing freezing
- F24F11/42—Defrosting; Preventing freezing of outdoor units
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
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- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
- F24F2110/12—Temperature of the outside air
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/20—Humidity
- F24F2110/22—Humidity of the outside air
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Abstract
A method and a device for predicting defrosting time of an air conditioner are provided, wherein the method comprises the steps of collecting outdoor environment data of the air conditioner during operation; the outdoor environment data comprises air dry bulb temperature, air relative humidity and air pressure; calculating the real-time frosting rate of the air conditioner according to the outdoor environment data; and predicting the defrosting time of the air conditioner based on the real-time frosting rate. According to the scheme of the invention, the ambient atmospheric pressure and the self-adaptive correction coefficient are added into a conventional frost prediction model which is conventionally established based on the air dry bulb temperature Ta and the air relative humidity RH, so that the bottleneck problem that the frost formation amount prediction error and the applicability are not strong and the technical problem that the frost formation prediction model is not high in universality among different types are respectively solved.
Description
Technical Field
The invention relates to the field of automatic control, in particular to a method and a device for predicting defrosting time of an air conditioner, the air conditioner and a non-transitory computer readable medium.
Background
When the air conditioner executes a defrosting control strategy, the key point is to determine the proper defrosting time. In most of the conventional defrosting control strategies for the air conditioner, the accumulated frosting amount in the operation process of the air conditioner is predicted, and when the frosting amount reaches a set threshold value, the air conditioner is considered to need to execute the defrosting strategy.
Most of frosting amount prediction models in the prior art are mathematical models between the frosting amount and the frosting amount based on the air dry bulb temperature Ta and the air relative humidity RH, but the method has the limitation that the prediction models are established between the ambient atmospheric pressure of 100KPa and 110KPa, the fluctuation range of the ambient atmospheric pressure is 70KPa and 120KPa in reality, and the moisture content d in the air is a value which changes along with the change of the ambient atmospheric pressure P under the condition of the same air dry bulb temperature Ta and the same air relative humidity RH. In fact, the frost is essentially derived from the moisture in the air, that is, if the ambient atmospheric pressure P changes under the same conditions of the air dry bulb temperature Ta and the air relative humidity RH, the amount of water obtained by the air conditioner from the unit volume of air is different, and thus the frost is different. Therefore, in the process of practical application, the mathematical model between the air dry bulb temperature Ta and the air relative humidity RH and the frosting amount is established, and the influence of the air moisture content d on the frosting amount is neglected, so that the phenomena of 'defrosting without frost' and 'defrosting by mistake' with frost and not removing frost are generated occasionally.
Disclosure of Invention
The invention provides a method and a device for predicting defrosting time of an air conditioner, which can effectively solve the bottleneck problems of error and poor applicability of a conventional defrosting prediction model established based on air dry bulb temperature Ta and air relative humidity RH in the actual application process to the defrosting amount prediction and the problem of low universality among different machine types.
According to a first aspect of the present invention, there is provided an air conditioner defrosting time prediction method, the method comprising:
collecting outdoor environment data of the air conditioner during operation; the outdoor environment data comprises air dry bulb temperature, air relative humidity and air pressure;
calculating the real-time frosting rate of the air conditioner according to the outdoor environment data;
and predicting the defrosting time of the air conditioner based on the real-time frosting rate.
Optionally, the predicting a defrosting time of the air conditioner based on the real-time frosting rate includes:
determining at least one defrosting area in an adaptive defrosting map to which the operating condition of the air conditioner belongs according to the real-time defrosting rate, and the operating time of each defrosting area;
calculating an accumulated frost formation amount of the air conditioner based on an operation time of the air conditioner in each of the frost zones and the outdoor environment data;
and predicting defrosting time of the air conditioner according to the accumulated frost amount.
Optionally, the adaptive frosting map is a three-dimensional map consisting of air dry bulb temperature, air relative humidity, and air pressure, wherein the x-axis is air dry bulb temperature, the y-axis is air relative humidity, and the z-axis is air pressure.
Optionally, the frost zone comprises: a heavy frost area, a general frost I area, a general frost II area, a light frost I area and a light frost II area; different frosting zones match different frosting rate ranges.
Optionally, the predicting the defrosting time of the air conditioner according to the accumulated frost formation amount comprises:
comparing the accumulated frosting amount with a preset frosting amount threshold value of the air conditioner;
if the accumulated frosting amount is smaller than the preset frosting amount threshold value, the air conditioner continues to operate for a set time and then defrosting operation of the air conditioner is executed;
and if the accumulated frost formation amount is greater than or equal to the preset frost formation amount threshold value, executing the defrosting operation of the air conditioner.
Optionally, the set time for the air conditioner to continue operating is obtained by settlement according to the difference of the preset frosting amount threshold of the accumulated frosting amount.
Optionally, the calculating the real-time frosting rate of the air conditioner according to the outdoor environment data includes:
calculating a real-time frosting rate of the air conditioner using the following frosting rate calculation equation:
ν＝(αTa+βRH+γP+σ)·λ·θ
wherein v represents the frosting rate; alpha, beta, gamma and sigma are respectively correction coefficients of Ta, RH, P and constant terms; lambda represents the heat exchange efficiency of the heat exchanger of the outdoor unit of the air conditioner; θ represents a frosting rate conversion coefficient; ta represents the air dry bulb temperature; RH denotes the relative humidity of air; p represents air pressure.
Optionally, the collecting outdoor environment data of the air conditioner during operation includes:
detecting real-time air pressure of an outdoor environment of the air conditioner through a pressure sensor in the operation process; or the like, or, alternatively,
the air pressure of the local outdoor environment of the air conditioner is inquired through a WiFi module arranged in the air conditioner in a networking mode; or the like, or a combination thereof,
setting air pressure based on historical meteorological data local to the air conditioner.
According to a second aspect of the present invention, there is provided an air conditioner defrosting time prediction apparatus comprising one or more processors and a non-transitory computer readable storage medium storing program instructions which, when executed by the one or more processors, are adapted to implement the method according to any one of the first aspects.
A third aspect of the present invention provides a non-transitory computer readable storage medium having stored thereon program instructions for implementing the air conditioner defrosting time prediction method according to any one of the first aspect of the present invention when the program instructions are executed by one or more processors.
A fourth aspect of the present invention provides an air conditioner employing the air conditioner defrosting time prediction method of the present invention, or including the air conditioner defrosting time prediction apparatus of the present invention, or having the non-transitory computer readable storage medium according to any one of the first aspect of the present invention.
According to the scheme, the ambient atmospheric pressure and the self-adaptive correction coefficient are added into a conventional frosting prediction model established based on the air dry bulb temperature Ta and the air relative humidity RH, so that the bottleneck problems of error and poor applicability of frosting amount prediction and the technical problem that the frosting prediction model is not high in universality among different types are solved respectively, the frosting rate of the air source heat pump air conditioner in the operation process can be identified more accurately by combining the self-adaptive frosting map, the frosting amount of the air source heat pump air conditioner is predicted, the frosting amount prediction precision of the air conditioner can be improved, and accurate defrosting is achieved.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a method for predicting defrosting time of an air conditioner according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating an air conditioner defrosting time prediction method according to another exemplary embodiment of the present invention;
FIG. 3 is a schematic diagram comparing an adaptive frost prediction model and a conventional model according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of an adaptive frosting map according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a heavy frost region in an adaptive frosting map according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a general frosting zone I in an adaptive frosting map according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of a general frost II zone in an adaptive frost map according to an embodiment of the present invention;
FIG. 8 is a schematic diagram of a region I of light frost in an adaptive frosting map according to an embodiment of the present invention;
FIG. 9 is a schematic diagram of a region of light frost II in an adaptive frost map, according to an embodiment of the present invention.
Detailed Description
As used herein, the words "first," "second," and the like may be used to describe elements in exemplary embodiments of the invention. These terms are only used to distinguish one element from another element, and the inherent features or order of the corresponding elements, etc. are not limited by the terms. Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms, such as those defined in commonly used dictionaries, are to be interpreted as having a meaning that is consistent with their context in the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
Those skilled in the art will understand that the devices and methods of the present invention described herein and illustrated in the accompanying drawings are non-limiting exemplary embodiments and that the scope of the present invention is defined solely by the claims. Features illustrated or described in connection with one exemplary embodiment may be combined with features of other embodiments. Such modifications and variations are intended to be included within the scope of the present invention.
Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the drawings, a detailed description of related known functions or configurations is omitted to avoid unnecessarily obscuring the technical points of the present invention. In addition, the same reference numerals refer to the same circuits, modules or units throughout the description, and repeated descriptions of the same circuits, modules or units are omitted for brevity.
Further, it should be understood that one or more of the following methods or aspects thereof may be performed by at least one control system, control unit, or controller. The term "control unit", "controller", "control module" or "main control module" may refer to a hardware device including a memory and a processor, and the term "air conditioner" may refer to a device similar to a device having a cooling/heating function. The memory or computer-readable storage medium is configured to store program instructions, while the processor is specifically configured to execute the program instructions to perform one or more processes that will be described further below. Moreover, it is to be appreciated that the following methods may be performed by including a processor in conjunction with one or more other components, as will be appreciated by one of ordinary skill in the art.
An embodiment of the present invention provides a method for predicting defrosting time of an air conditioner, as shown in fig. 1, the method for predicting defrosting time of an air conditioner provided by the embodiment of the present invention may at least include the following steps S101 to S103.
S101, collecting outdoor environment data of an air conditioner during operation; the outdoor environment data includes air dry bulb temperature Ta, air relative humidity RH, and air pressure P.
S102, calculating the real-time frosting rate of the air conditioner according to the outdoor environment data;
and S103, predicting defrosting time of the air conditioner based on the real-time frosting rate.
The embodiment provides a method for predicting defrosting time of an air conditioner, which is mainly applied to predicting the frosting amount of an air source heat pump air conditioner in the operation process, wherein the ambient atmospheric pressure and the self-adaptive correction coefficient are added into a conventional frosting prediction model established conventionally based on the air dry bulb temperature Ta and the air relative humidity RH, so that the bottleneck problems of poor error and applicability of the frosting amount prediction and the technical problem of low universality of the frosting prediction model among different machine types are solved respectively. The steps of the present embodiment will be described in detail below.
Under the operation condition that the air conditioner is in the heating mode, step S101 needs to be executed first to collect outdoor environment data of the air conditioner during operation. The outdoor environmental data of the present embodiment includes the air dry bulb temperature Ta, the air relative humidity RH, and the air pressure P. In this embodiment, the data acquisition of the air dry bulb temperature Ta, the air relative humidity RH and the air pressure P in the step S101 is controlled by the time control module. The time control module is a functional module of the air conditioner, and the control of the data acquisition module through the time control module is a control strategy which is set for acquiring effective data and avoiding the waste of computing resources caused by excessive acquired data and the low computing precision caused by insufficient acquired data. That is to say, the scheme of this embodiment can be real-time collection or collection at certain time intervals when collecting the air dry bulb temperature Ta, the air relative humidity RH and the air pressure P.
1. Air dry bulb temperature Ta
In this embodiment, the temperature of the air dry bulb can be collected by the temperature sensor.
The control strategy of the time control module for the air dry bulb temperature Ta data collected by the temperature sensor is as follows: and starting timing after the air conditioner enters a heating mode, and acquiring and recording air dry bulb temperature Ta data acquired by the temperature sensor by taking a time interval delta t1 as a control strategy. The value range of delta t1 can be 0-10 min, and the optimal value is 5min.
2. Relative humidity of air
In this embodiment, the relative humidity RH of the air is collected by a humidity sensor.
The control strategy of the time control module for the air humidity RH data collected by the temperature sensor is that the time is started after the air conditioner enters a heating mode, and the air humidity RH data collected by the humidity sensor is collected and recorded by taking a time interval delta t2 as the control strategy; the optional value range of delta t2 is 0-10 min, preferably 5min.
3. Air pressure P
The air pressure P may be collected in the following manner in this embodiment.
In consideration of the difference in the configuration of the air conditioners (the air conditioners in high configuration have more data sensors, and the air conditioners in low configuration lack sensors), in order to make the control method of the present patent applicable to more air conditioners, 3 methods are set in the acquisition method of the air pressure P:
1. pressure sensor
The real-time air pressure of the outdoor unit of the air conditioner in the outdoor environment in the operation process is detected through the pressure sensor. Specifically, the pressure sensor is arranged on the air inlet side of the heat exchanger of the outdoor unit of the air conditioner, and the real-time air pressure of the outdoor environment of the air conditioner in the operation process is detected through the pressure sensor.
WIFI Module
And inquiring the air pressure of the local outdoor environment of the air conditioner through a WiFi module arranged in the air conditioner in a networking manner.
The time control module is used for controlling the air pressure P data collected by the pressure sensor and the WIFI module, timing is started after the air conditioner enters a heating mode, and the air pressure P data collected by the pressure sensor and the WIFI module are collected and recorded by taking a time interval delta t3 as a control strategy; the selectable value range of delta t3 is 0-24 h, and the preferred value is 1h.
The WIFI module can be to some no pressure sensor but have the air conditioner models of WIFI networking function, specifically can read the real-time air pressure of outdoor environment at the air conditioner operation in-process through the WIFI module networking inquiry local real-time meteorological information at the air conditioner, transmits the main control unit of air conditioner with the air pressure value that corresponds.
3. Manual setting
And setting air pressure based on historical meteorological data local to the air conditioner according to the historical meteorological data. For some air conditioner models without pressure sensors and WIFI networking functions, the average air pressure value in the heating season can be specifically set according to the historical meteorological data of the location of the user in the control program of the air conditioner. For example, the daily average air pressure value of the heating period in winter of the past year may be used as the air pressure value of the current air conditioner.
Because the pressure value of the environment is a parameter of relative temperature, in this embodiment, the acquisition time of the air pressure P data acquired by the pressure sensor and the WIFI module is 1h and is acquired once, and for the manually set air pressure P data, the manually set numerical value is always used as the calculation numerical value.
After the outdoor environment data is acquired, the step S102 may be executed to calculate the real-time frosting rate of the air conditioner according to the outdoor environment data.
Alternatively, the real-time frosting rate of the air conditioner may be calculated using the following frosting rate calculation equation:
ν＝(αTa+βRH+γP+σ)·λ·θ
wherein v represents the frosting rate; alpha, beta, gamma and sigma are respectively correction coefficients of Ta, RH, P and constant terms; lambda represents the heat exchange efficiency of the heat exchanger of the outdoor unit of the air conditioner; θ represents a frosting rate conversion coefficient; ta represents the air dry bulb temperature; RH denotes the relative humidity of air; p represents air pressure.
In the air conditioner of this embodiment, an adaptive frosting prediction model may be set in the main controller, and the adaptive frosting prediction model may calculate a real-time frosting rate of the air conditioner under the current operation condition by using the acquired air dry bulb temperature Ta, air relative humidity RH, and air pressure P.
In the above-mentioned formula,
v-frosting rate in g/min;
alpha, beta, gamma and sigma are correction coefficients of Ta, RH, P and constant terms in an equation respectively, and have no physical meaning;
lambda, the heat exchange efficiency of the heat exchanger of the outdoor unit of the air conditioner, is 0.1 to 0.5, and the lambda value can be determined according to the heat exchange efficiency of the heat exchanger of the outdoor unit of the air conditioner, wherein the preferred value in the embodiment is 0.16;
θ — frost rate conversion factor, θ =1 when frost rate is given in g/s, θ =60 when frost rate is given in g/min, and θ =3600 when frost rate is given in g/h. In the present embodiment, θ =60 is preferable;
ta-the temperature of the air dry bulb, DEG C, the value of Ta in this example is-20 ℃ to 6 ℃;
RH-relative humidity of air,%, the value in this example is 30% -100%;
p-air pressure, KPa, which in this example takes the value of 50KPa to 120KPa;
the self-adaptive frosting prediction model provided by the embodiment gives consideration to the influence of the air dry bulb temperature Ta, the air relative humidity RH and the air pressure P on the frosting rate, is closer to the real frosting rate of the air conditioner in the actual use process, and can effectively avoid the defects that the conventional frosting prediction model predicts too low frosting amount under the working condition of low air pressure and predicts too high frosting amount under the working condition of high air pressure. Comparing the self-adaptive frosting prediction model provided by the patent with a conventional frosting prediction model, and drawing a calculation result into a schematic diagram shown in fig. 3; as can be seen from the data diagram of fig. 3, since the conventional frost prediction model considers the air dry bulb temperature Ta and the air relative humidity RH, the influence of the ambient air pressure change on the actual frost formation rate cannot be reflected in the actual application process.
As described above, the air dry bulb temperature Ta, the air relative humidity RH, and the air pressure P have respective acquisition intervals, and the respective acquisition intervals may be the same or different.
For example, assuming that the calculation time interval of the frosting rate v is calculated once for 5min, that is, the calculation time interval is consistent with the data acquisition time interval of the air dry bulb temperature Ta and the air humidity RH, it can also be understood that the system calculates the real-time frosting rate v once every time the air conditioner acquires the data of the air dry bulb temperature Ta and the air humidity RH.
When the system acquires data once, the system keeps the last acquired air pressure value P and uses the pressure value and the data of the air dry bulb temperature Ta and the air humidity RH acquired every 5min to calculate the real-time frosting rate v until the next acquired air pressure value P is obtained and the pressure value is updated in the next 1 h; for the manually set air pressure P data, the pressure value used by the system for calculating the frosting rate v is always the same as the set value, but the data of the air dry bulb temperature Ta and the air humidity RH are still collected for 5min once, and the real-time frosting rate v is calculated.
Further, after the real-time frosting rate of the air conditioner is calculated, step S103 may be executed to predict the defrosting time of the air conditioner based on the real-time frosting rate. In this embodiment, as can be seen from fig. 2, the defrosting time of the air conditioner can be predicted through the following steps A1 to A3.
A1, determining at least one defrosting area in an adaptive defrosting map to which the operating condition of the air conditioner belongs according to the real-time defrosting rate, and determining the operating time of each defrosting area.
As shown in fig. 3, the adaptive frosting map of the present embodiment is a three-dimensional map composed of air dry bulb temperature, air relative humidity and air pressure, wherein the x-axis is the air dry bulb temperature, the y-axis is the air relative humidity, and the z-axis is the air pressure. The divide the frost district to include: a heavy frost area, a general frost I area, a general frost II area, a light frost I area and a light frost II area; different frosting zones match different frosting rate ranges.
1. Taking 1.5-piece (3500W rated refrigerating capacity) air conditioner as an example, the heavy frost zone, the general frost I zone, the general frost II zone, the light frost I zone and the light frost II zone are divided according to the following steps:
1) A heavy frost area: nu is more than or equal to 8g/min, and as shown in figure 5, can be 8g/min in the fuzzy calculation without actually measured data;
2) General frosting zone i: v is more than or equal to 5.5g/min and less than 8g/min, as shown in figure 6, the v can be 6.75g/min in the fuzzy calculation without actual measurement data;
3) General frosting zone ii: v is more than or equal to 2.5g/min and less than 5.5g/min, and as shown in figure 7, the amount of the data can be 4g/min in the fuzzy calculation without actual measurement data;
4) And (3) area I of light frost: v is more than or equal to 2g/min and less than 2.5g/min, and can be 2.3g/min in the fuzzy calculation without measured data as shown in figure 8;
5) And (3) a light frost II area: nu is less than 2g/min, and as shown in FIG. 9, 2g/min can be taken as the reference in the fuzzy calculation without measured data.
2. For 1-piece (rated refrigerating capacity 2600W) air conditioner, the heavy frost area, the general frost I area, the general frost II area, the light frost I area and the light frost II area are divided as follows:
1) A heavy frost area: v is more than or equal to 5.5g/min, and can be 5.5g/min in calculation;
2) General frosting zone i: v is more than or equal to 3.7g/min and less than 5.5g/min, and can be 4.6g/min in calculation;
3) General frosting zone ii: v is more than or equal to 1.7g/min and less than 3.7g/min, and can be 2.7g/min in calculation;
4) And (3) area I of light frost: v is more than or equal to 1.3g/min and less than 1.7g/min, and can be 1.5g/min in calculation;
5) And (3) a light frost II area: nu is less than 1.3g/min, and can be 1.3g/min in calculation.
3. For 2-piece (5000W rated refrigerating capacity) air conditioners, the heavy frost area, the general frost I area, the general frost II area, the light frost I area and the light frost II area are divided according to the following steps:
1) A heavy frost area: nu is more than or equal to 11g/min, and can be 11g/min in calculation;
2) General frosting zone i: v is more than or equal to 7.5g/min and less than 11g/min, and can be 9.3g/min in calculation;
3) General frosting zone ii: v is more than or equal to 3.5g/min and less than 7.5g/min, and can be 5.5g/min in calculation;
4) And (3) area I of light frost: v is more than or equal to 2.5g/min and less than 3.5g/min, and can be 3g/min in calculation;
5) And (3) a light frost II area: nu is less than 2.5g/min, and can be calculated as 2.5g/min.
And A2, calculating the accumulated frosting amount of the air conditioner based on the running time of the air conditioner in each frost distribution area and the outdoor environment data.
Considering that the air dry bulb temperature Ta, the air relative humidity RH and the air pressure P are not fixed and unchangeable in the operation process of the air conditioner, the above formula is only suitable for the condition that the air dry bulb temperature Ta, the air relative humidity RH and the air pressure P do not change greatly, and for the condition that some working conditions change obviously, the control strategy for entering defrosting needs to be calculated according to the following formula.
G’＝∫νdt＝∫(αTa+βRH+γP+σ)·λ·θdt
And A3, predicting defrosting time of the air conditioner according to the accumulated frosting amount. Specifically, step A3 may include:
and A3-1, comparing the accumulated frosting amount with a preset frosting amount threshold value of the air conditioner.
The preset frosting amount threshold of the embodiment can be the maximum frosting amount of the air conditioner. The maximum frosting amount G of the air conditioner needs to be set according to different air conditioner models and configurations, in the patent, the value range of 1 machine (rated refrigerating capacity 2600W) G is 150-280G (preferred value is 210G), the value range of 1.5 machines (rated refrigerating capacity 3500W) G is 180-320G (preferred value is 250G), and the value range of 2 machines (rated refrigerating capacity 5000W) G is 210-400G (preferred value is 300G).
Comparing the accumulated frost formation amount with a preset frost formation amount threshold of the air conditioner may be performed by:
G-G＇＝G-∫νdt＝G-∫(αTa+βRH+γP+σ)·λ·θdt
in the formula (I), the compound is shown in the specification,
g is the maximum frosting amount of the air conditioner, and the unit is G;
g' -the accumulated frosting amount of the air conditioner, and the unit is G;
dt-the running time of the air conditioner in different frost areas, min;
a3-2, if the accumulated frosting amount is smaller than the preset frosting amount threshold value, the air conditioner continues to operate for a set time and then defrosting operation of the air conditioner is executed; and the set time for the air conditioner to continuously operate is obtained by settlement according to the difference value of the preset frosting amount threshold value of the accumulated frosting amount.
And A3-3, if the accumulated frosting amount is greater than or equal to the preset frosting amount threshold value, executing the defrosting operation of the air conditioner.
When G-G' is more than 0, the air conditioner is considered not to reach the maximum accumulated frost amount and can still continue to operate for a set time;
when G-G' is less than or equal to 0, the air conditioner is considered to have reached the maximum accumulated frost formation amount, and a defrosting strategy is required to be executed.
That is, the accumulated frost amount of the air conditioner from the operation heating mode to the real time can be calculated by substituting the air dry bulb temperature Ta, the air relative humidity RH and the air pressure P parameters into the above formula (1), but in practical application, because the outdoor side environmental parameters are changed constantly, the air conditioner can be switched between different frost areas in the actual operation process; therefore, the calculation of the frost formation amount in the frost formation amount control strategy needs to consider the actual accumulated frost formation after the air conditioner is switched between different frost regions in the operation process and is influenced by the different frost regions.
Wherein, T 1 -cumulative time of operation of the air conditioner in the heavy frost zone, min;
T 2 the cumulative time, min, of the air conditioner running in the general frosting area I;
T 3 the cumulative time of the air conditioner running in the general frosting area II is min;
T 4 the cumulative time of the air conditioner running in the light frost I area is min;
T 5 the cumulative time of the air conditioner running in the light frost II area is min;
the time length of the set time for continuous operation can be calculated by combining the formula, and the defrosting operation can be executed after the air conditioner is controlled to operate for the set time. The defrosting time prediction method of the present invention is illustrated by two examples.
Example 1
Take 1.5P air conditioner as an example;
b1, the air conditioner operates in a heating mode;
b2, collecting the air dry bulb temperature Ta, the air relative humidity RH and the air pressure P outside the air conditioner in the operation process of the air conditioner;
b3, the time control module records the running time of the air conditioner; the control strategy of the time control module for the air dry bulb temperature Ta data collected by the temperature sensor is that the time is started after the air conditioner enters a heating mode, at the moment, the time interval delta t1 is taken as the control strategy, and the air dry bulb temperature Ta data collected by the temperature sensor is collected and recorded; the control strategy of the time control module for the air humidity RH data collected by the temperature sensor is that the time is started after the air conditioner enters a heating mode, and the air humidity RH data collected by the humidity sensor is collected and recorded by taking a time interval delta t2 as the control strategy; the time control module is used for controlling the air pressure P data collected by the pressure sensor and the WIFI module, timing is started after the air conditioner enters a heating mode, and the air pressure P data collected by the pressure sensor and the WIFI module are collected and recorded by taking a time interval delta t3 as a control strategy;
b4, calculating the real-time frosting rate of the air conditioner by a frosting rate calculation module;
in this embodiment, it is assumed that the air conditioner is operated in the heavy frost region for 15min in an accumulated manner, then the outdoor side operating condition changes, the operating state of the air conditioner is switched to the general frosting region i and operated for 5min in an accumulated manner, the outdoor side operating condition changes again, and the operating state of the air conditioner stays in the general frosting region ii at last, and then the frost amount control calculation method of the air conditioner defrosting control strategy module is as follows:
G-G＇＝250-∑(8×15+6.75×5+4×T 3 )
＝250-(153.75+4×T 3 )＝96.25-4×T 3
that is, if the air conditioner operation state is maintained in the general frost formation zone II thereafter, the air conditioner needs to wait for the control equation of 96.25-4 XT 3 The defrosting control strategy is executed after the value of =0, wherein the calculated T 3 It can be understood that the air conditioner continues to operate for a time T 3 After the time period, the defrosting operation is started.
Example 2
Take 1.5 air conditioners as an example;
c1, operating a heating mode by the air conditioner;
c2, collecting the air dry bulb temperature Ta, the air relative humidity RH and the air pressure P outside the air conditioner in the operation process;
c3, recording the running time by the time control module;
the time control module is used for controlling the air dry bulb temperature Ta data collected by the temperature sensor, timing is started after the air conditioner enters a heating mode, and the air dry bulb temperature Ta data collected by the temperature sensor is collected and recorded by taking a time interval delta t1 as a control strategy; the control strategy of the time control module for the air humidity RH data collected by the temperature sensor is that the time is started after the air conditioner enters a heating mode, and the air humidity RH data collected by the humidity sensor is collected and recorded by taking a time interval delta t2 as the control strategy; the time control module is used for controlling the air pressure P data collected by the pressure sensor and the WIFI module, timing is started after the air conditioner enters a heating mode, and the air pressure P data collected by the pressure sensor and the WIFI module are collected and recorded by taking a time interval delta t3 as a control strategy;
c4, calculating the real-time frosting rate of the air conditioner by a frosting rate calculation module;
in this embodiment, it is assumed that the air conditioner is operated in the light frost area i for 45min in an accumulated manner, then the outdoor side operating condition changes, the operating state of the air conditioner is switched to the general frost formation area ii and operated for 25min in an accumulated manner, the outdoor side operating condition changes again, and the operating state of the air conditioner finally stays in the heavy frost area, and then the remaining time calculation method for the air conditioner to enter the defrosting control strategy at this time is as follows:
G-G＇＝250-∑(8×T 1 +4×25+2.3×45)
＝250-(8×T 1 +203.5)＝46.5-8×T 1
that is, if the air conditioner operation state is maintained in the heavy frost region thereafter, the air conditioner needs to wait for the control equation 46.5-8 × T 1 The defrosting control strategy is executed after the time point of = 0.
According to the method provided by the embodiment of the invention, the ambient atmospheric pressure and the adaptive correction coefficient are added into the conventional frost prediction model established based on the air dry bulb temperature Ta and the air relative humidity RH, the bottleneck problems of poor frost amount prediction error and applicability and the technical problem of low universality of the frost prediction model among different types are solved respectively, the frost rate of the air source heat pump air conditioner in the operation process can be more accurately identified by combining the adaptive frost map, the frost amount of the air source heat pump air conditioner is predicted, the frost amount prediction precision of the air conditioner can be improved, the accurate prediction of the frost time is further realized, the frost removing time of the air conditioner is accurately determined, and the frost removing efficiency of the air conditioner is improved.
Embodiments of the present invention also provide an air conditioner defrosting time prediction apparatus, which includes one or more processors and a non-transitory computer-readable storage medium storing program instructions, when the one or more processors execute the program instructions, the one or more processors are configured to implement the method according to the above embodiments.
Embodiments of the present invention also provide a non-transitory computer-readable storage medium having stored thereon program instructions, which when executed by one or more processors, are configured to implement the method according to the above embodiments.
The embodiment of the invention also provides an air conditioner, which adopts the method of the embodiment, or comprises the air conditioner defrosting time prediction device, or is provided with a non-transitory computer readable storage medium.
The drawings referred to above and the detailed description of the invention, which are exemplary of the invention, serve to explain the invention without limiting the meaning or scope of the invention as described in the claims. Accordingly, modifications may be readily made by those skilled in the art from the foregoing description. Further, those skilled in the art may delete some of the constituent elements described herein without deteriorating the performance, or may add other constituent elements to improve the performance. Further, the order of the steps of the methods described herein may be varied by one skilled in the art depending on the environment of the process or apparatus. Therefore, the scope of the present invention should be determined not by the embodiments described above but by the claims and their equivalents.
While the invention has been described in connection with what is presently considered to be practical embodiments, it is to be understood that the invention is not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (11)
1. An air conditioner defrosting time prediction method is characterized by comprising the following steps:
collecting outdoor environment data of the air conditioner during operation; the outdoor environment data comprises air dry bulb temperature, air relative humidity and air pressure;
calculating the real-time frosting rate of the air conditioner according to the outdoor environment data;
and predicting the defrosting time of the air conditioner based on the real-time frosting rate.
2. The method of claim 1, wherein predicting a defrosting time of the air conditioner based on the real-time frosting rate comprises:
determining at least one defrosting area in an adaptive defrosting map to which the operating condition of the air conditioner belongs according to the real-time defrosting rate, and the operating time of each defrosting area;
calculating an accumulated frost formation amount of the air conditioner based on an operation time of the air conditioner in each of the frost zones and the outdoor environment data;
and predicting defrosting time of the air conditioner according to the accumulated frosting amount.
3. The method of claim 2, wherein the adaptive frosting map is a three-dimensional map comprised of air dry bulb temperature, air relative humidity, and air pressure, wherein the x-axis is air dry bulb temperature, the y-axis is air relative humidity, and the z-axis is air pressure.
4. The method of claim 2, wherein the frost zone comprises: a heavy frost area, a general frost I area, a general frost II area, a light frost I area and a light frost II area; different frosting zones match different frosting rate ranges.
5. The method of claim 2, wherein the predicting the defrosting time of the air conditioner according to the accumulated frost amount comprises:
comparing the accumulated frosting amount with a preset frosting amount threshold value of the air conditioner;
if the accumulated frosting amount is smaller than the preset frosting amount threshold value, the air conditioner continues to operate for a set time and then defrosting operation of the air conditioner is executed;
and if the accumulated frost formation amount is greater than or equal to the preset frost formation amount threshold value, executing the defrosting operation of the air conditioner.
6. The method according to claim 5, wherein the set time for the air conditioner to continue operating is settled according to a difference of the preset frosting amount threshold of the accumulated frosting amount.
7. The method of any of claims 1-6, wherein said calculating a real-time frosting rate of the air conditioner from the outdoor environment data comprises:
calculating a real-time frosting rate of the air conditioner using the following frosting rate calculation equation:
ν＝(αTa+βRH+γP+σ)·λ·θ
wherein v represents the frosting rate; alpha, beta, gamma and sigma are respectively correction coefficients of Ta, RH, P and constant terms; lambda represents the heat exchange efficiency of the heat exchanger of the outdoor unit of the air conditioner; θ represents a frosting rate conversion coefficient; ta represents the air dry bulb temperature; RH denotes the relative humidity of air; p represents air pressure.
8. The method as claimed in any one of claims 1 to 6, wherein said collecting outdoor environmental data while the air conditioner is in operation comprises:
detecting real-time air pressure of an outdoor environment of the air conditioner through a pressure sensor in the operation process; or the like, or, alternatively,
the air pressure of the local outdoor environment of the air conditioner is inquired through a WiFi module arranged in the air conditioner in a networking mode; or the like, or, alternatively,
and setting air pressure based on historical meteorological data local to the air conditioner according to the historical meteorological data.
9. An air conditioner defrosting time prediction device comprising one or more processors and a non-transitory computer readable storage medium having stored thereon program instructions that, when executed by the one or more processors, are configured to implement the method of any one of claims 1-8.
10. A non-transitory computer-readable storage medium having stored thereon program instructions which, when executed by one or more processors, are to implement the method of any one of claims 1-8.
11. An air conditioner employing the method of any one of claims 1-8, or comprising the apparatus of claim 9, or having the non-transitory computer-readable storage medium of claim 10.
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