CN112032929A - Air conditioner defrosting control method and device - Google Patents

Air conditioner defrosting control method and device Download PDF

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Publication number
CN112032929A
CN112032929A CN202010899408.2A CN202010899408A CN112032929A CN 112032929 A CN112032929 A CN 112032929A CN 202010899408 A CN202010899408 A CN 202010899408A CN 112032929 A CN112032929 A CN 112032929A
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China
Prior art keywords
temperature
defrosting
air conditioner
condenser
preset
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CN202010899408.2A
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Chinese (zh)
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CN112032929B (en
Inventor
徐耿彬
吴俊鸿
田雅颂
廖敏
翟振坤
熊绍森
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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
    • F24F11/30Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F24F11/41Defrosting; Preventing freezing
    • F24F11/42Defrosting; Preventing freezing of outdoor units
    • 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
    • F24F2110/00Control inputs relating to air properties
    • F24F2110/10Temperature
    • F24F2110/12Temperature of the outside air
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00Control inputs relating to air properties
    • F24F2110/20Humidity
    • F24F2110/22Humidity of the outside air
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2140/00Control inputs relating to system states
    • F24F2140/20Heat-exchange fluid temperature

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

Abstract

The application discloses an air conditioner defrosting control method and device. The method comprises the following steps: acquiring outdoor environment information, wherein the outdoor environment information at least comprises: outdoor ambient temperature and humidity; acquiring outer tube temperature information of the condenser, wherein the outer tube temperature information at least comprises: the temperature value and the temperature change speed of the outer pipe of the condenser; inputting outdoor environment information and outer pipe temperature information into a neural network model for calculation, and judging whether the air conditioner needs to be controlled to enter a defrosting mode or not; and if the air conditioner needs to be controlled to enter a defrosting mode, defrosting control is carried out on the air conditioner according to the defrosting time length output by the neural network model. Through the method and the device, the problem that defrosting control of the air conditioner is inaccurate in the related art is solved.

Description

Air conditioner defrosting control method and device
Technical Field
The application relates to the technical field of air conditioners, in particular to an air conditioner defrosting control method and device.
Background
When outdoor temperature is lower, the performance of the air conditioner is influenced by frosting on the condenser, and therefore defrosting control is often required, however, the existing air conditioner defrosting time is often simply judged according to the temperature and the running time of the outer tube, accurate control is difficult to be carried out according to the actual frosting condition of the outer machine, and the phenomenon that defrosting is not clean or defrosting is too long and the like is possibly caused, so that the comfort of a user is influenced. Therefore, it is important to accurately control the defrosting time.
In the first related art, the defrosting can be ensured to be clean after a plurality of times of defrosting, but the condition that the defrosting time is too long is not optimized.
In the second related technology, whether frosting starts is judged by detecting the difference between the real-time evaporation temperature of the refrigerant and the defrosting temperature, and the defrosting amount is obtained through a theoretical calculation formula to judge the starting time of defrosting. Although the defrosting time can be accurately judged, the finishing time is not optimized.
In the third related art, a method for correcting the non-defrosting operation time of the next period by calculating a difference value ratio between the actual defrosting time and the preset standard defrosting time is provided, and although the method can standardize the defrosting period after multiple adjustments, the defrosting effect still depends on the preset parameters of the standard defrosting period, and cannot be optimized according to actual conditions.
In the fourth related technology, the theoretical frosting amount of the non-defrosting period is obtained through a calculation formula, the time of entering defrosting is judged according to the theoretical frosting amount, then the frequency of the compressor is correspondingly controlled by detecting the defrosting water amount, and the time of finishing defrosting is judged.
Aiming at the problem of inaccurate defrosting control of the air conditioner in the related art, an effective solution is not provided at present.
Disclosure of Invention
The main purpose of the present application is to provide an air conditioner defrosting control method and device, so as to solve the problem in the related art that defrosting control of an air conditioner is inaccurate.
In order to achieve the above object, according to one aspect of the present application, there is provided an air conditioner defrosting control method. The method comprises the following steps: acquiring outdoor environment information, wherein the outdoor environment information at least comprises: outdoor ambient temperature and humidity; acquiring outer tube temperature information of a condenser, wherein the outer tube temperature information at least comprises: the temperature value and the temperature change speed of the outer pipe of the condenser; inputting the outdoor environment information and the outer pipe temperature information into a neural network model for calculation, and judging whether the air conditioner needs to be controlled to enter a defrosting mode; and if the air conditioner needs to be controlled to enter a defrosting mode, carrying out defrosting control on the air conditioner according to the defrosting time length output by the neural network model.
Further, after the defrosting control is performed on the air conditioner according to the defrosting time length output by the neural network model, the method further comprises the following steps: after defrosting is finished, recording the temperature of an outer pipe of the condenser according to a preset time interval; calculating the change speed of the outer tube temperature of the condenser according to the outer tube temperature of the condenser recorded for multiple times; and determining whether defrosting of the air conditioner is clean or not according to the change speed of the temperature of the outer pipe.
Further, determining whether defrosting of the air conditioner is clean according to a change speed of the temperature of the outer pipe includes: if the temperature of the outer pipe of the condenser is in a descending state in a target time period and the change speed of the temperature of the outer pipe is greater than a preset speed, determining that defrosting of the air conditioner is not clean; if the temperature of the outer pipe of the condenser in the target time period is in a descending state, and the change speed of the temperature of the outer pipe is smaller than the preset speed, or if the temperature of the outer pipe in the target time period is in a non-descending state, it is determined that the air conditioner is defrosted cleanly.
Further, determining whether defrosting of the air conditioner is clean according to a change speed of the temperature of the outer pipe includes: when the outdoor environment temperature is lower than a first preset temperature, if the change speed of the outer tube temperature of the condenser in a target time period is higher than the first preset speed, or if the change speed of the outer tube temperature of the condenser in the target time period is higher than a second preset speed when the outdoor environment temperature is higher than the first preset temperature and lower than a second preset temperature, or if the change speed of the outer tube temperature of the condenser in the target time period is higher than a third preset speed when the outdoor environment temperature is higher than the second preset temperature, determining that defrosting of the air conditioner is not clean; when the outdoor environment temperature is less than the first preset temperature, if in the target time quantum the change speed of the outer tube temperature of the condenser is not more than the first preset speed, or, when the outdoor environment temperature is greater than the first preset temperature and is less than the second preset temperature, if in the target time quantum the change speed of the outer tube temperature of the condenser is not more than the second preset speed, or, when the outdoor environment temperature is greater than the second preset temperature, if in the target time quantum the change speed of the outer tube temperature of the condenser is not more than the third preset speed, then it is right to confirm that the defrosting of the air conditioner is clean.
Further, the method further comprises: if the defrosting of the air conditioner is determined to be not clean, prolonging the defrosting time by a first preset time; if the defrosting of the air conditioner is determined to be clean, shortening the defrosting time by a second preset time; and carrying out learning training on the neural network model based on the adjusted defrosting time so as to update the neural network model.
In order to achieve the above object, according to another aspect of the present application, there is provided an air conditioning defrosting control apparatus. The device includes: a first obtaining unit configured to obtain outdoor environment information, wherein the outdoor environment information at least includes: outdoor ambient temperature and humidity; a second obtaining unit, configured to obtain outer tube temperature information of the condenser, where the outer tube temperature information at least includes: the temperature value and the temperature change speed of the outer pipe of the condenser; the judging unit is used for inputting the outdoor environment information and the outer pipe temperature information into a neural network model for calculation and judging whether the air conditioner needs to be controlled to enter a defrosting mode or not; and the control unit is used for carrying out defrosting control on the air conditioner according to the defrosting time length output by the neural network model under the condition that the air conditioner needs to be controlled to enter a defrosting mode.
Further, the apparatus further comprises: the recording unit is used for recording the temperature of the outer pipe of the condenser according to a preset time interval after defrosting control is carried out on the air conditioner according to the defrosting time length output by the neural network model and defrosting is finished; the calculating unit is used for calculating the change speed of the outer tube temperature of the condenser according to the outer tube temperature of the condenser recorded for a plurality of times; and the determining unit is used for determining whether defrosting of the air conditioner is clean or not according to the change speed of the temperature of the outer pipe.
Further, the determining unit includes: the first determining module is used for determining that defrosting of the air conditioner is not clean when the temperature of the outer pipe of the condenser is in a descending state in a target time period and the change speed of the temperature of the outer pipe is greater than a preset speed; and the second determining module is used for determining that the temperature of the outer pipe of the condenser is in a descending state in the target time period, and the change speed of the temperature of the outer pipe is smaller than the preset speed, or determining that the defrosting of the air conditioner is clean if the temperature of the outer pipe is in a non-descending state in the target time period.
In order to achieve the above object, according to another aspect of the present application, there is provided a computer storage medium including a stored program, wherein the program executes the air conditioning defrosting control method of any one of the above.
In order to achieve the above object, according to another aspect of the present application, there is provided an air conditioner, wherein a processor in the air conditioner is configured to run a program, and the program is run to execute the defrosting control method of the air conditioner.
Through the application, the following steps are adopted: acquiring outdoor environment information, wherein the outdoor environment information at least comprises: outdoor ambient temperature and humidity; acquiring outer tube temperature information of the condenser, wherein the outer tube temperature information at least comprises: the temperature value and the temperature change speed of the outer pipe of the condenser; inputting outdoor environment information and outer pipe temperature information into a neural network model for calculation, and judging whether the air conditioner needs to be controlled to enter a defrosting mode or not; if the air conditioner needs to be controlled to enter the defrosting mode, defrosting control is carried out on the air conditioner according to the defrosting time length output by the neural network model, and the problem that the defrosting control on the air conditioner in the related technology is inaccurate is solved. The defrosting time and the defrosting time are determined according to the actual operation condition through the neural network model, the time for the air conditioner to enter the defrosting time and the defrosting time can be accurately judged under different working conditions, the comfort of the air conditioner is greatly improved, and the effect of improving the accuracy of defrosting control of the air conditioner is achieved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:
FIG. 1 is a flow chart of an air conditioner defrosting control method provided according to an embodiment of the application;
FIG. 2 is a schematic diagram of an alternative air conditioner defrosting control method provided according to an embodiment of the application;
FIG. 3 is a graphical illustration of a velocity threshold versus outer loop temperature provided in accordance with an embodiment of the present application;
FIG. 4 is a logic diagram of an air conditioner defrosting control system provided according to an embodiment of the application; and
fig. 5 is a schematic diagram of an air conditioner defrosting control device provided according to an embodiment of the application.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. 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 application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The invention is described below by combining with preferred implementation steps, and fig. 1 is a flowchart of an air conditioner defrosting control method provided according to an embodiment of the application, and as shown in fig. 1, the method includes the following steps:
step S101, obtaining outdoor environment information, wherein the outdoor environment information at least comprises: outdoor ambient temperature and humidity.
Step S102, obtaining the outer tube temperature information of the condenser, wherein the outer tube temperature information at least comprises: the temperature value and the temperature change speed of the outer pipe of the condenser.
The above-mentioned outer tube temperature information is temperature information of an outdoor copper tube of the condenser, and at least includes: the temperature value of the outer pipe of the copper pipe outside the condenser and the temperature change speed of the copper pipe outside the condenser.
And step S103, inputting the outdoor environment information and the outer pipe temperature information into a neural network model for calculation, and judging whether the air conditioner needs to be controlled to enter a defrosting mode.
And step S104, if the air conditioner is required to be controlled to enter a defrosting mode, carrying out defrosting control on the air conditioner according to the defrosting time length output by the neural network model.
Through the steps, the fitting capability of the neural network is utilized, the time when the air conditioner enters the defrosting mode and the defrosting time duration are accurately controlled, and the comfort of the air conditioner is improved.
To sum up, the air conditioner defrosting control method provided by the embodiment of the present application obtains the outdoor environment information, wherein the outdoor environment information at least includes: outdoor ambient temperature and humidity; acquiring outer tube temperature information of the condenser, wherein the outer tube temperature information at least comprises: the temperature value and the temperature change speed of the outer pipe of the condenser; inputting outdoor environment information and outer pipe temperature information into a neural network model for calculation, and judging whether the air conditioner needs to be controlled to enter a defrosting mode or not; if the air conditioner needs to be controlled to enter the defrosting mode, defrosting control is carried out on the air conditioner according to the defrosting time length output by the neural network model, and the problem that the defrosting control on the air conditioner in the related technology is inaccurate is solved. The defrosting time and the defrosting time are determined according to the actual operation condition through the neural network model, the time for the air conditioner to enter the defrosting time and the defrosting time can be accurately judged under different working conditions, the comfort of the air conditioner is greatly improved, and the effect of improving the accuracy of defrosting control of the air conditioner is achieved.
Optionally, in the air conditioner defrosting control method provided in the embodiment of the present application, after the air conditioner is subjected to defrosting control according to the defrosting time length output by the neural network model, the method further includes: after defrosting is finished, recording the temperature of an outer pipe of the condenser according to a preset time interval; calculating the change speed of the outer tube temperature of the condenser according to the outer tube temperature of the condenser recorded for multiple times; and determining whether the defrosting of the air conditioner is clean or not according to the change speed of the temperature of the outer pipe.
For example, as shown in fig. 2, after defrosting is finished, the temperature of the outer pipe of the condenser is recorded every 1 minute until 10 minutes, and whether defrosting of the air conditioner is clean is determined according to the change speed of the temperature of the inner pipe and the temperature of the outer pipe in the 10 minutes.
Optionally, in the air conditioner defrosting control method provided in the embodiment of the present application, determining whether defrosting of the air conditioner is clean according to a change speed of the temperature of the outer tube includes: if the temperature of the outer pipe of the condenser is in a descending state in the target time period and the change speed of the temperature of the outer pipe is greater than the preset speed, determining that defrosting of the air conditioner is not clean; and if the temperature of the outer pipe of the condenser in the target time period is in a descending state and the change speed of the temperature of the outer pipe is less than the preset speed, or if the temperature of the outer pipe in the target time period is in a non-descending state, determining that the defrosting of the air conditioner is clean.
For example, as shown in fig. 2, the above target time period is 0.5 ℃/min preset during the last 3 minutes of recording the temperature of the outer tube of the condenser. And if the temperature of the outer pipe of the condenser is in a descending state in the last 3 minutes and the change speed of the temperature of the outer pipe is more than 0.5 ℃/min, determining that the defrosting of the air conditioner is not clean. And if the temperature of the outer pipe of the condenser is in a descending state in the last 3 minutes and the change speed of the temperature of the outer pipe is not more than 0.5 ℃/min, or the temperature of the outer pipe of the condenser is in a non-descending state in the last 3 minutes, determining that the defrosting of the air conditioner is clean.
Optionally, in the air conditioner defrosting control method provided in the embodiment of the present application, determining whether defrosting of the air conditioner is clean according to a change speed of the temperature of the outer tube includes: when the outdoor environment temperature is lower than a first preset temperature, if the change speed of the outer pipe temperature of the condenser in a target time period is higher than the first preset speed, or if the change speed of the outer pipe temperature of the condenser in the target time period is higher than a second preset speed when the outdoor environment temperature is higher than the first preset temperature and lower than a second preset temperature, or if the change speed of the outer pipe temperature of the condenser in the target time period is higher than a third preset speed when the outdoor environment temperature is higher than the second preset temperature, determining that defrosting of the air conditioner is not clean; when the outdoor environment temperature is lower than the first preset temperature, if the change speed of the outer pipe temperature of the condenser in the target time period is not higher than the first preset speed, or if the outdoor environment temperature is higher than the first preset temperature and lower than the second preset temperature, if the change speed of the outer pipe temperature of the condenser in the target time period is not higher than the second preset speed, or if the change speed of the outer pipe temperature of the condenser in the target time period is higher than the second preset temperature, it is determined that defrosting of the air conditioner is clean.
As shown in FIG. 3, FIG. 3 is a graphical representation of the relationship of the speed threshold to the outer loop temperature. When the outdoor ambient temperature is less than T1 (corresponding to the first preset temperature), if the change speed of the outer tube temperature of the condenser in the last 3 minutes is greater than V1 (corresponding to the first preset speed), or if the outdoor ambient temperature is greater than T1 and less than T2 (corresponding to the second preset temperature), if the change speed of the outer tube temperature of the condenser in the last 3 minutes is greater than V3 (a certain value between V1 and V2, specifically, determined by a speed threshold value corresponding to the outdoor ambient temperature in fig. 3), or if the change speed of the outer tube temperature of the condenser in the last 3 minutes is greater than V2 (corresponding to the third preset speed), it is determined that defrosting of the air conditioner is not clean.
When the outdoor ambient temperature is less than T1 (corresponding to the first preset temperature), if the change speed of the outer tube temperature of the condenser in the last 3 minutes is not greater than V1 (corresponding to the first preset speed), or if the outdoor ambient temperature is greater than T1 and less than T2 (corresponding to the second preset temperature), if the change speed of the outer tube temperature of the condenser in the last 3 minutes is not greater than V3 (a certain value between V1 and V2, specifically determined by a speed threshold corresponding to the outdoor ambient temperature in fig. 3), or if the change speed of the outer tube temperature of the condenser in the last 3 minutes is greater than T2 (corresponding to the third preset speed), it is determined that the air conditioner is defrosted cleanly. Wherein, the value range of T1 can be-10 ℃ to-15 ℃, the value range of T2 can be-5 ℃ to 2 ℃, the value range of V1 can be 0.7 ℃/min to 1 ℃/min, and the value range of V2 can be 0.1 ℃/min to 0.3 ℃/min. When the temperature is between T1 and T2, the threshold of the change speed of the outer tube temperature and the outdoor environment temperature are in a linear relationship, and the threshold of the change speed of the outer tube temperature corresponding to each outdoor environment temperature can be set according to different models. That is, the outer tube temperature change speed threshold used for judging whether defrosting is clean can be changed from a preset fixed value to a value which is changed in real time according to actual outdoor environment temperature and different machine types, so that the accuracy of defrosting judgment is improved.
Optionally, in the air conditioner defrosting control method provided in the embodiment of the present application, the method further includes: if the defrosting of the air conditioner is determined to be not clean, prolonging the defrosting time by a first preset time; if the defrosting of the air conditioner is determined to be clean, shortening the defrosting time by a second preset time; and carrying out learning training on the neural network model based on the adjusted defrosting time so as to update the neural network model.
For example, if the defrosting is clean, the defrosting time in the data under the working condition (namely the outdoor environment temperature and humidity when the defrosting is performed, the temperature and the change speed of the outer pipe of the condenser, whether the defrosting is performed or not and the defrosting time) is shortened by 5s (corresponding to the second preset time), if the defrosting is not clean, the defrosting time is prolonged by 10s (corresponding to the first preset time), then the data are updated, and the network training is performed by using the new data (at least comprising the outdoor environment temperature and humidity when the defrosting is performed, the temperature and the change speed of the outer pipe of the condenser, whether the defrosting is performed or not and the adjusted defrosting time), so that the self-adaptive capacity of the defrosting control of the air conditioner is realized. By adopting the control, the air conditioner can accurately judge the defrosting time and the defrosting time according to the actual outdoor environment temperature and the actual running state, and can continuously adjust related parameters according to the actual control effect, so that the accuracy of the air conditioner can be kept under different working conditions.
As shown in fig. 4, the air conditioning defrosting control system mainly controls components such as an outer unit main board, a thermal bulb, a compressor, and a four-way valve. Wherein, the temperature sensing package includes: the condenser temperature sensing bulb comprises a condenser temperature sensing bulb and an outer ring temperature sensing bulb, wherein the condenser temperature sensing bulb is used for acquiring the temperature of an outer pipe of the condenser, and the outer ring temperature sensing bulb is used for acquiring the temperature and the humidity of an outdoor environment. Outer quick-witted mainboard mainly includes: the defrosting device comprises a data acquisition module, a neural network algorithm module, a defrosting control module, a defrosting effect judgment module and a data storage module. The data acquisition module is used for acquiring the temperature of the outer tube and the temperature of the outer ring from the temperature sensing bulb; the neural network algorithm module calculates whether defrosting is performed or not and defrosting duration according to the obtained outer tube temperature and the obtained outer ring temperature; the defrosting control module performs defrosting control on the compressor and the four-way valve according to the calculation result of the neural network; the defrosting effect judging module judges the defrosting effect according to the temperature of the outer pipe after defrosting is finished; the data processing module updates the latest data according to the defrosting result and trains the neural network; the data storage module is used for storing data of relevant working conditions (namely the external ring temperature and the external pipe temperature when defrosting is started, the change speed of the external pipe temperature, whether defrosting is started or not, the defrosting time and the like) and the obtained weight and threshold of the neural network, and the compressor control module and the four-way valve control module carry out routine defrosting operation according to the received defrosting instruction. Therefore, the air conditioner adopting the control system can obtain the optimal defrosting time and the optimal defrosting time under different actual working conditions through a neural network with self-adaptive capacity on the premise of not increasing the cost, so that the comfort of the operation of the air conditioner is improved.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
The embodiment of the application also provides an air conditioner defrosting control device, and it should be noted that the air conditioner defrosting control device of the embodiment of the application can be used for executing the air conditioner defrosting control method provided by the embodiment of the application. The air conditioner defrosting control device provided by the embodiment of the application is introduced below.
Fig. 5 is a schematic diagram of an air conditioner defrosting control device according to an embodiment of the present application. As shown in fig. 5, the apparatus includes: a first acquisition unit 501, a second acquisition unit 502, a judgment unit 503 and a control unit 504.
A first obtaining unit 501, configured to obtain outdoor environment information, where the outdoor environment information at least includes: outdoor ambient temperature and humidity;
a second obtaining unit 502, configured to obtain outer tube temperature information of the condenser, where the outer tube temperature information at least includes: the temperature value and the temperature change speed of the outer pipe of the condenser;
the judging unit 503 is configured to input the outdoor environment information and the outer tube temperature information into the neural network model for calculation, and judge whether the air conditioner needs to be controlled to enter the defrosting mode;
the control unit 504 is configured to perform defrosting control on the air conditioner according to a defrosting time period output by the neural network model when the air conditioner needs to be controlled to enter a defrosting mode.
The air conditioner defrosting control device that this application embodiment provided acquires outdoor environmental information through first acquisition unit 501, and wherein, outdoor environmental information includes at least: outdoor ambient temperature and humidity; the second acquiring unit 502 acquires outer tube temperature information of the condenser, wherein the outer tube temperature information at least includes: the temperature value and the temperature change speed of the outer pipe of the condenser; the judging unit 503 inputs the outdoor environment information and the outer pipe temperature information into the neural network model for calculation, and judges whether the air conditioner needs to be controlled to enter a defrosting mode; the control unit 504 controls defrosting of the air conditioner according to the defrosting time length output by the neural network model under the condition that the air conditioner needs to be controlled to enter the defrosting mode, and the problem that the defrosting of the air conditioner is controlled inaccurately in the related art is solved. The defrosting time and the defrosting time are determined according to the actual operation condition through the neural network model, the time for the air conditioner to enter the defrosting time and the defrosting time can be accurately judged under different working conditions, the comfort of the air conditioner is greatly improved, and the effect of improving the accuracy of defrosting control of the air conditioner is achieved.
Optionally, in the air conditioner defrosting control device provided in the embodiment of the present application, the device further includes: the recording unit is used for recording the temperature of an outer pipe of the condenser according to a preset time interval after defrosting control is carried out on the air conditioner according to the defrosting time length output by the neural network model and the defrosting is finished; the calculating unit is used for calculating the change speed of the outer pipe temperature of the condenser according to the outer pipe temperature of the condenser recorded for a plurality of times; and the determining unit is used for determining whether defrosting of the air conditioner is clean or not according to the change speed of the temperature of the outer pipe.
Optionally, in the air conditioning defrosting control device provided in an embodiment of the present application, the determining unit includes: the first determining module is used for determining that the defrosting of the air conditioner is not clean when the temperature of the outer pipe of the condenser is in a descending state in a target time period and the change speed of the temperature of the outer pipe is greater than a preset speed; and the second determining module is used for determining that the temperature of the outer pipe of the condenser is in a descending state in the target time period, and the change speed of the temperature of the outer pipe is less than the preset speed, or determining that the defrosting of the air conditioner is clean if the temperature of the outer pipe is in a non-descending state in the target time period.
Optionally, in the air conditioning defrosting control device provided in an embodiment of the present application, the determining unit includes: a third determining module, configured to determine that defrosting of the air conditioner is not clean if a change speed of the temperature of the outer tube of the condenser in the target time period is greater than a first preset speed when the outdoor environment temperature is less than the first preset temperature, or if the change speed of the temperature of the outer tube of the condenser in the target time period is greater than a second preset speed when the outdoor environment temperature is greater than the first preset temperature and less than the second preset temperature, or if the change speed of the temperature of the outer tube of the condenser in the target time period is greater than a third preset speed when the outdoor environment temperature is greater than the second preset temperature; and the fourth determining module is used for determining that defrosting of the air conditioner is clean if the change speed of the temperature of the outer pipe of the condenser in the target time period is not greater than the first preset speed when the outdoor environment temperature is less than the first preset temperature, or if the change speed of the temperature of the outer pipe of the condenser in the target time period is not greater than the second preset speed when the outdoor environment temperature is greater than the first preset temperature and less than the second preset temperature, or if the change speed of the temperature of the outer pipe of the condenser in the target time period is not greater than the third preset speed when the outdoor environment temperature is greater than the second preset temperature.
Optionally, in the air conditioner defrosting control device provided in the embodiment of the present application, the device further includes: the first processing unit is used for prolonging the defrosting time by a first preset time under the condition that the defrosting of the air conditioner is determined to be not clean; the second processing unit is used for shortening the defrosting time length by a second preset time length under the condition that the defrosting of the air conditioner is determined to be clean; and the updating unit is used for learning and training the neural network model based on the adjusted defrosting time so as to update the neural network model.
The air conditioner defrosting control device comprises a processor and a memory, wherein the first acquiring unit 501, the second acquiring unit 502, the judging unit 503, the control unit 504 and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more than one, the time of defrosting is determined and the time of defrosting is determined according to the actual operation condition by adjusting the kernel parameters, the time of entering the defrosting and the time of defrosting can be accurately judged under different working conditions by the air conditioner, the comfort of the air conditioner is greatly improved, and the effect of improving the accuracy of defrosting control of the air conditioner is further achieved.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
An embodiment of the present invention provides a computer storage medium having a program stored thereon, the program implementing the air conditioner defrosting control method when executed by a processor.
The embodiment of the invention provides an air conditioner, wherein a processor of the air conditioner is used for running a program, and the air conditioner defrosting control method is executed when the program runs.
The embodiment of the invention provides equipment, which comprises a processor, a memory and a program which is stored on the memory and can run on the processor, wherein the processor executes the program and realizes the following steps: acquiring outdoor environment information, wherein the outdoor environment information at least comprises: outdoor ambient temperature and humidity; acquiring outer tube temperature information of a condenser, wherein the outer tube temperature information at least comprises: the temperature value and the temperature change speed of the outer pipe of the condenser; inputting the outdoor environment information and the outer pipe temperature information into a neural network model for calculation, and judging whether the air conditioner needs to be controlled to enter a defrosting mode; and if the air conditioner needs to be controlled to enter a defrosting mode, carrying out defrosting control on the air conditioner according to the defrosting time length output by the neural network model.
The processor executes the program and further realizes the following steps: after the defrosting control is performed on the air conditioner according to the defrosting time length output by the neural network model, the method further comprises the following steps: after defrosting is finished, recording the temperature of an outer pipe of the condenser according to a preset time interval; calculating the change speed of the outer tube temperature of the condenser according to the outer tube temperature of the condenser recorded for multiple times; and determining whether defrosting of the air conditioner is clean or not according to the change speed of the temperature of the outer pipe.
The processor executes the program and further realizes the following steps: determining whether defrosting of the air conditioner is clean according to a change speed of the temperature of the outer pipe includes: if the temperature of the outer pipe of the condenser is in a descending state in a target time period and the change speed of the temperature of the outer pipe is greater than a preset speed, determining that defrosting of the air conditioner is not clean; if the temperature of the outer pipe of the condenser in the target time period is in a descending state, and the change speed of the temperature of the outer pipe is smaller than the preset speed, or if the temperature of the outer pipe in the target time period is in a non-descending state, it is determined that the air conditioner is defrosted cleanly.
The processor executes the program and further realizes the following steps: determining whether defrosting of the air conditioner is clean according to a change speed of the temperature of the outer pipe includes: when the outdoor environment temperature is lower than a first preset temperature, if the change speed of the outer pipe temperature of the condenser in the target time period is higher than the first preset speed, or if the change speed of the outer pipe temperature of the condenser in the target time period is higher than a second preset speed when the outdoor environment temperature is higher than the first preset temperature and lower than a second preset temperature, or if the change speed of the outer pipe temperature of the condenser in the target time period is higher than a third preset speed when the outdoor environment temperature is higher than the second preset temperature, determining that defrosting of the air conditioner is not clean; when the outdoor environment temperature is less than the first preset temperature, if in the target time quantum the change speed of the outer tube temperature of the condenser is not more than the first preset speed, or, when the outdoor environment temperature is greater than the first preset temperature and is less than the second preset temperature, if in the target time quantum the change speed of the outer tube temperature of the condenser is not more than the second preset speed, or, when the outdoor environment temperature is greater than the second preset temperature, if in the target time quantum the change speed of the outer tube temperature of the condenser is not more than the third preset speed, then it is right to confirm that the defrosting of the air conditioner is clean.
The processor executes the program and further realizes the following steps: the method further comprises the following steps: if the defrosting of the air conditioner is determined to be not clean, prolonging the defrosting time by a first preset time; if the defrosting of the air conditioner is determined to be clean, shortening the defrosting time by a second preset time; and carrying out learning training on the neural network model based on the adjusted defrosting time so as to update the neural network model. The device herein may be a server, a PC, a PAD, a mobile phone, etc.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device: acquiring outdoor environment information, wherein the outdoor environment information at least comprises: outdoor ambient temperature and humidity; acquiring outer tube temperature information of a condenser, wherein the outer tube temperature information at least comprises: the temperature value and the temperature change speed of the outer pipe of the condenser; inputting the outdoor environment information and the outer pipe temperature information into a neural network model for calculation, and judging whether the air conditioner needs to be controlled to enter a defrosting mode; and if the air conditioner needs to be controlled to enter a defrosting mode, carrying out defrosting control on the air conditioner according to the defrosting time length output by the neural network model.
When executed on a data processing device, is further adapted to perform a procedure for initializing the following method steps: after the defrosting control is performed on the air conditioner according to the defrosting time length output by the neural network model, the method further comprises the following steps: after defrosting is finished, recording the temperature of an outer pipe of the condenser according to a preset time interval; calculating the change speed of the outer tube temperature of the condenser according to the outer tube temperature of the condenser recorded for multiple times; and determining whether defrosting of the air conditioner is clean or not according to the change speed of the temperature of the outer pipe.
When executed on a data processing device, is further adapted to perform a procedure for initializing the following method steps: determining whether defrosting of the air conditioner is clean according to a change speed of the temperature of the outer pipe includes: if the temperature of the outer pipe of the condenser is in a descending state in a target time period and the change speed of the temperature of the outer pipe is greater than a preset speed, determining that defrosting of the air conditioner is not clean; if the temperature of the outer pipe of the condenser in the target time period is in a descending state, and the change speed of the temperature of the outer pipe is smaller than the preset speed, or if the temperature of the outer pipe in the target time period is in a non-descending state, it is determined that the air conditioner is defrosted cleanly.
When executed on a data processing device, is further adapted to perform a procedure for initializing the following method steps: determining whether defrosting of the air conditioner is clean according to a change speed of the temperature of the outer pipe includes: when the outdoor environment temperature is lower than a first preset temperature, if the change speed of the outer pipe temperature of the condenser in the target time period is higher than the first preset speed, or if the change speed of the outer pipe temperature of the condenser in the target time period is higher than a second preset speed when the outdoor environment temperature is higher than the first preset temperature and lower than a second preset temperature, or if the change speed of the outer pipe temperature of the condenser in the target time period is higher than a third preset speed when the outdoor environment temperature is higher than the second preset temperature, determining that defrosting of the air conditioner is not clean; when the outdoor environment temperature is less than the first preset temperature, if in the target time quantum the change speed of the outer tube temperature of the condenser is not more than the first preset speed, or, when the outdoor environment temperature is greater than the first preset temperature and is less than the second preset temperature, if in the target time quantum the change speed of the outer tube temperature of the condenser is not more than the second preset speed, or, when the outdoor environment temperature is greater than the second preset temperature, if in the target time quantum the change speed of the outer tube temperature of the condenser is not more than the third preset speed, then it is right to confirm that the defrosting of the air conditioner is clean.
When executed on a data processing device, is further adapted to perform a procedure for initializing the following method steps: the method further comprises the following steps: if the defrosting of the air conditioner is determined to be not clean, prolonging the defrosting time by a first preset time; if the defrosting of the air conditioner is determined to be clean, shortening the defrosting time by a second preset time; and carrying out learning training on the neural network model based on the adjusted defrosting time so as to update the neural network model.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims (10)

1. An air conditioner defrosting control method is characterized by comprising the following steps:
acquiring outdoor environment information, wherein the outdoor environment information at least comprises: outdoor ambient temperature and humidity;
acquiring outer tube temperature information of a condenser, wherein the outer tube temperature information at least comprises: the temperature value and the temperature change speed of the outer pipe of the condenser;
inputting the outdoor environment information and the outer pipe temperature information into a neural network model for calculation, and judging whether the air conditioner needs to be controlled to enter a defrosting mode;
and if the air conditioner needs to be controlled to enter a defrosting mode, carrying out defrosting control on the air conditioner according to the defrosting time length output by the neural network model.
2. The method of claim 1, wherein after the defrosting control of the air conditioner according to the defrosting duration outputted from the neural network model, the method further comprises:
after defrosting is finished, recording the temperature of an outer pipe of the condenser according to a preset time interval;
calculating the change speed of the outer tube temperature of the condenser according to the outer tube temperature of the condenser recorded for multiple times;
and determining whether defrosting of the air conditioner is clean or not according to the change speed of the temperature of the outer pipe.
3. The method of claim 2, wherein determining whether defrosting of the air conditioner is clean according to a change speed of the temperature of the outer tube comprises:
if the temperature of the outer pipe of the condenser is in a descending state in a target time period and the change speed of the temperature of the outer pipe is greater than a preset speed, determining that defrosting of the air conditioner is not clean;
if the temperature of the outer pipe of the condenser in the target time period is in a descending state, and the change speed of the temperature of the outer pipe is smaller than the preset speed, or if the temperature of the outer pipe in the target time period is in a non-descending state, it is determined that the air conditioner is defrosted cleanly.
4. The method of claim 2, wherein determining whether defrosting of the air conditioner is clean according to a change speed of the temperature of the outer tube comprises:
when the outdoor environment temperature is lower than a first preset temperature, if the change speed of the outer tube temperature of the condenser in a target time period is higher than the first preset speed, or if the change speed of the outer tube temperature of the condenser in the target time period is higher than a second preset speed when the outdoor environment temperature is higher than the first preset temperature and lower than a second preset temperature, or if the change speed of the outer tube temperature of the condenser in the target time period is higher than a third preset speed when the outdoor environment temperature is higher than the second preset temperature, determining that defrosting of the air conditioner is not clean;
when the outdoor environment temperature is less than the first preset temperature, if in the target time quantum the change speed of the outer tube temperature of the condenser is not more than the first preset speed, or, when the outdoor environment temperature is greater than the first preset temperature and is less than the second preset temperature, if in the target time quantum the change speed of the outer tube temperature of the condenser is not more than the second preset speed, or, when the outdoor environment temperature is greater than the second preset temperature, if in the target time quantum the change speed of the outer tube temperature of the condenser is not more than the third preset speed, then it is right to confirm that the defrosting of the air conditioner is clean.
5. The method according to claim 3 or 4, characterized in that the method further comprises:
if the defrosting of the air conditioner is determined to be not clean, prolonging the defrosting time by a first preset time;
if the defrosting of the air conditioner is determined to be clean, shortening the defrosting time by a second preset time;
and carrying out learning training on the neural network model based on the adjusted defrosting time so as to update the neural network model.
6. An air conditioner defrosting control device is characterized by comprising:
a first obtaining unit configured to obtain outdoor environment information, wherein the outdoor environment information at least includes: outdoor ambient temperature and humidity;
a second obtaining unit, configured to obtain outer tube temperature information of the condenser, where the outer tube temperature information at least includes: the temperature value and the temperature change speed of the outer pipe of the condenser;
the judging unit is used for inputting the outdoor environment information and the outer pipe temperature information into a neural network model for calculation and judging whether the air conditioner needs to be controlled to enter a defrosting mode or not;
and the control unit is used for carrying out defrosting control on the air conditioner according to the defrosting time length output by the neural network model under the condition that the air conditioner needs to be controlled to enter a defrosting mode.
7. The apparatus of claim 6, further comprising:
the recording unit is used for recording the temperature of the outer pipe of the condenser according to a preset time interval after defrosting control is carried out on the air conditioner according to the defrosting time length output by the neural network model and defrosting is finished;
the calculating unit is used for calculating the change speed of the outer tube temperature of the condenser according to the outer tube temperature of the condenser recorded for a plurality of times;
and the determining unit is used for determining whether defrosting of the air conditioner is clean or not according to the change speed of the temperature of the outer pipe.
8. The apparatus of claim 7, wherein the determining unit comprises:
the first determining module is used for determining that defrosting of the air conditioner is not clean when the temperature of the outer pipe of the condenser is in a descending state in a target time period and the change speed of the temperature of the outer pipe is greater than a preset speed;
and the second determining module is used for determining that the temperature of the outer pipe of the condenser is in a descending state in the target time period, and the change speed of the temperature of the outer pipe is smaller than the preset speed, or determining that the defrosting of the air conditioner is clean if the temperature of the outer pipe is in a non-descending state in the target time period.
9. A computer storage medium characterized in that the storage medium includes a stored program, wherein the program executes the air-conditioning defrosting control method according to any one of claims 1 to 5.
10. An air conditioner, characterized in that a processor in the air conditioner is used for running a program, wherein the program is run to execute the defrosting control method of the air conditioner according to any one of claims 1 to 5.
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