CN113865009B - Defrosting method and system, air conditioner, storage medium and electronic equipment - Google Patents
Defrosting method and system, air conditioner, storage medium and electronic equipment Download PDFInfo
- Publication number
- CN113865009B CN113865009B CN202111082305.8A CN202111082305A CN113865009B CN 113865009 B CN113865009 B CN 113865009B CN 202111082305 A CN202111082305 A CN 202111082305A CN 113865009 B CN113865009 B CN 113865009B
- Authority
- CN
- China
- Prior art keywords
- frosting
- defrosting
- air conditioner
- preset
- amount
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000010257 thawing Methods 0.000 title claims abstract description 125
- 238000000034 method Methods 0.000 title claims abstract description 65
- 238000004364 calculation method Methods 0.000 claims description 16
- 238000012549 training Methods 0.000 claims description 10
- 238000013528 artificial neural network Methods 0.000 claims description 8
- 238000004590 computer program Methods 0.000 claims description 8
- 230000015572 biosynthetic process Effects 0.000 claims description 5
- 238000004891 communication Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 6
- 239000003507 refrigerant Substances 0.000 description 5
- 238000010438 heat treatment Methods 0.000 description 4
- 230000005236 sound signal Effects 0.000 description 4
- 238000002474 experimental method Methods 0.000 description 3
- 210000002569 neuron Anatomy 0.000 description 3
- 238000009825 accumulation Methods 0.000 description 2
- 230000005284 excitation Effects 0.000 description 2
- 239000007788 liquid Substances 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 238000010521 absorption reaction Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000002844 melting Methods 0.000 description 1
- 230000008018 melting Effects 0.000 description 1
Images
Classifications
-
- 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
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
- F24F11/83—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling the supply of heat-exchange fluids to heat-exchangers
- F24F11/84—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling the supply of heat-exchange fluids to heat-exchangers using valves
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
- F24F11/87—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling absorption or discharge of heat in outdoor units
- F24F11/871—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling absorption or discharge of heat in outdoor units by controlling outdoor fans
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/88—Electrical aspects, e.g. circuits
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
- F24F2110/12—Temperature of the outside air
-
- 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- Human Computer Interaction (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Thermal Sciences (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The application relates to the technical field of intelligent control, in particular to a defrosting method, a defrosting system, an air conditioner, a storage medium and electronic equipment, which comprises the following steps: acquiring preset data of the air conditioner in real time; continuously calculating the frosting amount of the air conditioner according to the preset data and preset time intervals; comparing the frosting amount with a first preset threshold value; and if the frosting amount is larger than the first preset threshold value, controlling the air conditioner to defrost without reversing. According to the method and the device, the frosting amount of the air conditioner is calculated, the thin frost state of the air conditioner is accurately identified, and non-reversing defrosting is carried out in the thin frost state, so that the comfort of indoor users is greatly improved, and reversing defrosting is carried out when necessary to ensure the reliability of the air conditioner.
Description
Technical Field
The present application relates to the field of intelligent control technologies, and in particular, to a defrosting method and system, an air conditioner, a storage medium, and an electronic device.
Background
When the outdoor temperature is low, frost formation on the condenser affects the performance of the air conditioner, so that defrosting control is often required. The growth of frost layer of outdoor heat exchanger has the following rules: the thicker the frost layer, the faster the frost will be formed. The conventional defrosting operation is generally to defrost after a frost layer is thick, and at this time, a large amount of heat needs to be consumed to melt the frost layer, which causes large fluctuation of indoor temperature and affects comfort.
The existing household air conditioner defrosting method adopts a timing defrosting method which is gradually abandoned, and mainly judges according to the temperature of an outer pipe of the system, the temperature of the outer pipe needs to be changed, the thickness of a frost layer is always thicker at the moment, and therefore the system can not be controlled to defrost when the thin frost state of the system can not be identified according to the traditional method.
Disclosure of Invention
In view of the above problems, the present application provides a defrosting method, a defrosting system, an air conditioner, a storage medium, and an electronic device, which can accurately identify whether the air conditioner is in a thin frost state, and determine whether to defrost according to the identification result. The defrosting method can well identify the thin frost state and use the mode of continuously supplying heat and defrosting to defrost, so that the comfort of heating operation of the air conditioner is greatly improved.
In a first aspect, the present application provides a method of defrosting, the method comprising:
acquiring preset data of an air conditioner in real time;
continuously calculating the frosting amount of the air conditioner according to the preset data and preset time intervals;
comparing the frosting amount with a first preset threshold value;
and if the frosting amount is larger than the first preset threshold value, controlling the air conditioner to defrost without reversing.
In some embodiments, before the controlling the air conditioner to perform non-reversing defrosting, the method further includes:
judging whether the defrosting times are more than the preset times or not;
if the defrosting times are less than or equal to the preset times, executing the step of controlling the air conditioner to defrost without reversing, adding one to the defrosting times, and returning the frosting amount to zero;
if the defrosting times are more than the preset times, non-reversing defrosting is not carried out, and the frosting amount is compared with a second preset threshold value;
and if the frosting amount is larger than the second preset threshold value, controlling the air conditioner to perform reversing defrosting, and returning the defrosting times and the frosting amount to zero.
In some embodiments, before the collecting preset data of the air conditioner in real time, the method further comprises:
the defrosting times and the frosting amount are reduced to zero.
In some embodiments, said continuously calculating the frosting amount of the air conditioner at preset time intervals according to the preset data comprises:
inputting preset data acquired at the current moment and the frosting amount obtained by calculation at the previous moment into a frosting speed model trained in advance according to a preset time interval to obtain the frosting speed at the current moment; the preset data comprise outdoor environment temperature, outdoor environment humidity, external fan rotating speed and condenser outer tube temperature;
and calculating the frosting amount at the current moment according to the frosting speed at the current moment, the preset time interval and the frosting amount obtained by calculation at the previous moment.
In some embodiments, the training process of the frosting speed model comprises:
according to the historical outdoor environment temperature, the historical outdoor environment humidity, the historical outer fan rotating speed, the historical condenser outer tube temperature and the historical frosting amount, different outdoor environment temperatures, different outdoor environment humidities, different outer fan rotating speeds, different condenser outer tube temperatures and different frosting speeds under different frosting amounts are obtained through calculation;
and training the BP neural network according to the different frosting speeds and the corresponding outdoor environment temperature, outdoor environment humidity, external fan rotating speed, condenser outer tube temperature and frosting amount to obtain the frosting speed model.
In some embodiments, the calculating the frosting amount of the current time according to the frosting speed of the current time, the preset time interval and the frosting amount calculated at the previous time includes:
according to the formula S = S On the upper part + v × t, calculating to obtain the frosting amount S at the current moment;
wherein v is the frosting speed at the current moment, t is a preset time interval, S On the upper part The frost formation amount is calculated for the last moment.
In a second aspect, a defrosting system, the system comprising:
the acquisition unit is used for acquiring preset data of the air conditioner in real time;
the calculating unit is used for continuously calculating the frosting amount of the air conditioner according to the preset data and preset time intervals;
a comparison unit for comparing the frosting amount with a first preset threshold;
and the defrosting unit is used for controlling the air conditioner to perform non-reversing defrosting if the frosting amount is greater than the first preset threshold value.
In a third aspect, an air conditioner includes the defrosting system of the second aspect.
In a fourth aspect, a storage medium storing a computer program executable by one or more processors may be used to implement the defrosting method according to the first aspect described above.
In a fifth aspect, an electronic device comprises a memory and a processor, the memory having a computer program stored thereon, the memory and the processor being communicatively connected to each other, the computer program, when executed by the processor, performing the defrosting method according to the first aspect.
The application provides a defrosting method, a defrosting system, an air conditioner, a storage medium and electronic equipment, which comprise: acquiring preset data of the air conditioner in real time; continuously calculating the frosting amount of the air conditioner according to the preset data and preset time intervals; comparing the frosting amount with a first preset threshold value; and if the frosting amount is larger than the first preset threshold value, controlling the air conditioner to defrost without reversing. According to the method and the device, the frosting amount of the air conditioner is calculated, the thin frost state of the air conditioner is accurately identified, and non-reversing defrosting is carried out in the thin frost state, so that the comfort of indoor users is greatly improved, and reversing defrosting is carried out when necessary to ensure the reliability of the air conditioner.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic flow chart of a defrosting method provided in an embodiment of the present application;
FIG. 2 is a schematic diagram of conventional reverse defrosting provided by an embodiment of the present application;
FIG. 3 is a schematic diagram of non-reversing defrosting provided by an embodiment of the application;
FIG. 4 is a schematic flow chart of another defrosting method provided by the embodiment of the application;
FIG. 5 is a schematic view of a defrost system according to an embodiment of the present disclosure;
fig. 6 is a connection block diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The following detailed description will be provided with reference to the accompanying drawings and embodiments, so that how to apply the technical means to solve the technical problems and achieve the corresponding technical effects can be fully understood and implemented. The embodiments and various features in the embodiments of the present application can be combined with each other without conflict, and the formed technical solutions are all within the scope of protection of the present application.
It can be known from the background art that, in addition to a timing defrosting method which is gradually abandoned, the existing household air conditioner defrosting method mainly judges according to the temperature of an outer pipe of the system, and changes the temperature of the outer pipe, at this time, the thickness of a frost layer is always thicker, so that the system can not be controlled to defrost when the thin frost state of the system can not be identified according to the traditional method.
In view of this, the present application provides a defrosting method, a defrosting system, an air conditioner, a storage medium, and an electronic device, which can accurately identify whether the air conditioner is in a thin frost state, and determine whether to defrost according to the identification result. The defrosting method can well identify the thin frost state and use the mode of continuously supplying heat and defrosting to defrost, so that the comfort of heating operation of the air conditioner is greatly improved.
Example one
Fig. 1 is a schematic flow chart of a defrosting method provided in an embodiment of the present application, and as shown in fig. 1, the method includes:
s101, collecting preset data of the air conditioner in real time.
It should be noted that the preset data includes outdoor environment temperature, outdoor environment humidity, external fan rotation speed and condenser outer tube temperature, and each data can be measured by a corresponding sensor.
In some embodiments, before the collecting preset data of the air conditioner in real time, the method further comprises:
the defrosting times and the frosting amount are reduced to zero.
It should be noted that, because both the defrosting times and the frosting amount of the air conditioner may be different from 0 when the air conditioner is turned off, but after the air conditioner is left still, the existing frost layer will be slowly and naturally eliminated, so to avoid the system calculation error, when the system is started (generally, the system is started simultaneously with the air conditioner), the defrosting times and the frosting amount are returned to zero.
And S102, continuously calculating the frosting amount of the air conditioner according to the preset data and preset time intervals.
In some embodiments, said continuously calculating the frosting amount of the air conditioner at preset time intervals according to the preset data comprises:
inputting the frosting amount obtained by calculation according to preset data acquired at the current moment and the previous moment into a frosting speed model trained in advance according to a preset time interval to obtain the frosting speed at the current moment; the preset data comprises outdoor environment temperature, outdoor environment humidity, external fan rotating speed and condenser outer tube temperature;
and calculating the frosting amount at the current moment according to the frosting speed at the current moment, the preset time interval and the frosting amount obtained by calculation at the previous moment.
The preset time interval may be set by itself, and is preferably 1 second in general, because the data processing in the air conditioner is performed once every 1 second, the frosting speed model may be updated once every 1 second, and the shorter the interval time is, the higher the accuracy is, and the time interval with the fastest updating frequency is preferably 1 second.
In some embodiments, the calculating the frosting amount of the current time according to the frosting speed of the current time, the preset time interval and the frosting amount calculated at the previous time includes:
according to the formula S = S On the upper part + v × t, calculating to obtain the frosting amount S at the current moment;
wherein v is the frosting speed at the current moment, t is a preset time interval, S On the upper part The frost formation amount is calculated for the last moment.
In some embodiments, the training process of the frosting speed model comprises:
according to the historical outdoor environment temperature, the historical outdoor environment humidity, the historical outer fan rotating speed, the historical condenser outer tube temperature and the historical frosting amount, different outdoor environment temperatures, different outdoor environment humidities, different outer fan rotating speeds, different condenser outer tube temperatures and different frosting speeds under different frosting amounts are obtained through calculation;
and training the BP neural network according to the different frosting speeds and the corresponding outdoor environment temperature, outdoor environment humidity, external fan rotating speed, condenser outer tube temperature and frosting amount to obtain the frosting speed model.
It should be noted that, through a large number of experiments, the frosting condition of the corresponding machine type at different external fan rotation speeds, different outdoor humiture and different external pipe temperatures is measured. And then calculating to obtain real-time frosting speeds under different external fan rotating speeds, different outdoor temperature and humidity, different external pipe temperatures and different frost layer thicknesses according to the obtained data related to the frosting condition, and taking the data as basic data of network training. And then determining the structure of the neural network, wherein the air conditioner mainboard has limited calculation capacity, so that a BP neural network with three to five layers is adopted, an input layer has 5 neurons and corresponds to five inputs (comprising frosting amount at the last moment, outdoor environment temperature, outdoor environment humidity, outer fan rotating speed and condenser outer tube temperature), an intermediate layer can select 5-10 neurons, an output layer has 1 neuron, the frosting speed corresponds to the output, and the sum of the output speed of the model multiplied by a preset time interval and the frosting amount at the last moment is the frosting amount at the current moment. The excitation function of the middle layer selects a positive sigmoid function and the excitation function of the middle layer selects a negative sigmoid function, and the output layer selects a nonnegative sigmoid function. And then, training a neural network by using the data obtained by the experiment, and embedding the trained neural network into the air conditioner mainboard. When the frosting speed model operates, the frosting speed is calculated according to the preset data collected in real time to obtain a new frosting amount.
S103, comparing the frosting amount with a first preset threshold value.
It should be noted that, considering that different outdoor environment conditions may cause different frost layer structures, the optimal values of the first preset threshold and the second preset threshold for defrosting under various working conditions may be different, so that the optimal S1 and S2 values under different working conditions may be obtained through experiments for judgment, that is, the optimal first preset threshold and the optimal second preset threshold are selected according to actual working conditions,
and S104, if the frosting amount is larger than the first preset threshold value, controlling the air conditioner to defrost without reversing.
It should be noted that there are two general defrosting modes, one is not to turn the defrosting mode, and the other is to turn the defrosting mode.
Wherein, fig. 2 is a schematic diagram of the conventional reverse defrosting. When the four-way valve is reversed to defrost, the flow direction of the refrigerant is changed and the refrigerant is turned to the refrigerating direction. At the moment, high-temperature and high-pressure refrigerant gas from the compressor directly enters the outdoor heat exchanger to be condensed and heated to be changed into liquid, then is throttled by the electronic expansion valve to enter the indoor heat exchanger to absorb heat and be changed into gas, and then enters the compressor again through the liquid storage tank. The defrosting heat source for reversing defrosting mainly comprises indoor heat absorption and work of a compressor.
FIG. 3 is a schematic diagram of non-reversing defrosting. When defrosting is carried out, the four-way valve is not reversed, the flow direction of the refrigerant maintains the heating circulation direction to be unchanged, and the compressor, the electronic expansion valve and the internal and external fans are used for carrying out combined control, so that high-temperature and high-pressure refrigerant gas from the compressor directly flows to the outdoor heat exchanger for defrosting without throttling after partial heat is released by the indoor condenser for heating. The source of defrosting heat of the frost melting is mainly from the work of a compressor.
The defrosting system corresponding to the defrosting method collects preset data through the sensor and is respectively connected with the compressor, the four-way valve, the electronic expansion valve and the inner and outer fans to control devices of the devices, so that a defrosting function is finally realized.
In some embodiments, before the controlling the air conditioner to perform non-reversing defrosting, the method further includes:
judging whether the defrosting times are more than the preset times or not;
if the defrosting times are less than or equal to the preset times, executing the step of controlling the air conditioner to defrost without reversing, adding one to the defrosting times, and returning the frosting amount to zero;
if the defrosting times are more than the preset times, non-reversing defrosting is not carried out, and the frosting amount is compared with a second preset threshold value;
and if the frosting amount is larger than the second preset threshold value, controlling the air conditioner to perform reversing defrosting, and returning the defrosting times and the frosting amount to zero.
It should be noted that the preset number of times may be set according to actual situations, and is generally set to 2 times. The preset times are set to avoid the situation that the frost layer accumulation is more due to the fact that the frost layer is not completely defrosted when the system carries out thin defrosting, and the frost layer accumulation exceeds the original capacity of non-reversing thin defrosting, so that the conventional reversing defrosting is changed to the conventional reversing defrosting until all the existing frost layers are defrosted, and the step S101 is returned to carry out the next cycle.
In summary, the embodiment of the present application provides a defrosting method, including: acquiring preset data of the air conditioner in real time; continuously calculating the frosting amount of the air conditioner according to the preset data and preset time intervals; comparing the frosting amount with a first preset threshold value; and if the frosting amount is larger than the first preset threshold value, controlling the air conditioner to defrost without reversing. According to the method and the device, the frosting amount of the air conditioner is calculated, the thin frost state of the air conditioner is accurately identified, and non-reversing defrosting is carried out in the thin frost state, so that the comfort of indoor users is greatly improved, and reversing defrosting is carried out when necessary to ensure the reliability of the air conditioner.
Example two
Based on the defrosting method disclosed in the above embodiment of the present invention, fig. 4 specifically discloses another defrosting method.
As shown in fig. 4, the embodiment of the invention discloses another defrosting method, which comprises the following steps:
the defrosting times and the frosting amount are reduced to zero
Inputting preset data acquired at the current moment and the frosting amount obtained by calculation at the previous moment into a frosting speed model trained in advance according to a preset time interval to obtain the frosting speed at the current moment; the preset data comprises outdoor environment temperature, outdoor environment humidity, external fan rotating speed and condenser outer tube temperature;
calculating the frosting amount at the current moment according to the frosting speed at the current moment, the preset time interval and the frosting amount obtained by calculation at the previous moment;
comparing the frosting amount with a first preset threshold value;
if the frosting amount is larger than the first preset threshold, judging whether the defrosting times are larger than preset times or not;
if the defrosting times are less than or equal to the preset times, controlling the air conditioner to perform non-reversing defrosting, adding one to the defrosting times, and returning the frosting amount to zero;
if the defrosting times are more than the preset times, non-reversing defrosting is not carried out, and the frosting amount is compared with a second preset threshold value;
and if the frosting amount is larger than the second preset threshold value, controlling the air conditioner to perform reversing defrosting, and returning the defrosting times and the frosting amount to zero.
And finishing the defrosting.
In some embodiments, the calculating the frosting amount of the current time according to the frosting speed of the current time, the preset time interval and the frosting amount calculated at the previous time includes:
according to the formula S = S On the upper part + v × t, calculating to obtain the frosting amount S at the current moment;
wherein v is the frosting speed at the current moment, t is a preset time interval, S On the upper part The frost formation amount calculated for the last moment
EXAMPLE III
Based on the defrosting method disclosed in the above embodiment of the present invention, fig. 5 specifically discloses a defrosting system using the defrosting method.
As shown in fig. 5, an embodiment of the present invention discloses a defrosting system, which includes:
the acquisition unit 501 is used for acquiring preset data of the air conditioner in real time;
a calculating unit 502, configured to continuously calculate the frosting amount of the air conditioner according to the preset data and at preset time intervals;
a comparing unit 503, configured to compare the frosting amount with a first preset threshold;
and a defrosting unit 504, configured to control the air conditioner to perform non-reversing defrosting if the frosting amount is greater than the first preset threshold.
For the specific working processes of the collecting unit 501, the calculating unit 502, the comparing unit 503 and the defrosting unit 504 in the defrosting system disclosed in the embodiment of the present invention, reference may be made to the corresponding contents in the defrosting method disclosed in the above embodiment of the present invention, and details are not described here.
In summary, the present application provides a defrosting system, including: acquiring preset data of the air conditioner in real time; continuously calculating the frosting amount of the air conditioner according to the preset data and preset time intervals; comparing the frosting amount with a first preset threshold value; and if the frosting amount is larger than the first preset threshold value, controlling the air conditioner to defrost without reversing. According to the method and the device, the frosting amount of the air conditioner is calculated, the thin frost state of the air conditioner is accurately identified, non-reversing defrosting is carried out in the thin frost state, the comfort of indoor users is greatly improved, and reversing defrosting is carried out when necessary to ensure the reliability of the air conditioner.
Example four
The embodiment of the invention discloses an air conditioner, which comprises a defrosting system according to the second embodiment.
EXAMPLE five
The present embodiment further provides a computer-readable storage medium, such as a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, a server, an App application mall, etc., on which a computer program is stored, where the computer program, when executed by a processor, may implement the method steps as in the first embodiment, and thus, the description of the embodiment is not repeated herein.
EXAMPLE six
Fig. 6 is a connection block diagram of an electronic device 600 according to an embodiment of the present application, and as shown in fig. 6, the electronic device 600 may include: a processor 601, a memory 602, multimedia components 603, input/output (I/O) interfaces 604, and communication components 605.
The processor 601 is configured to perform all or part of the steps in the defrosting method according to the first embodiment. The memory 602 is used to store various types of data, which may include, for example, instructions for any application or method in the electronic device, as well as application-related data.
The Processor 601 may be implemented by an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic components, and is configured to perform the defrosting method of the first embodiment.
The Memory 602 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically Erasable Programmable Read-Only Memory (EEPROM), erasable Programmable Read-Only Memory (EPROM), programmable Read-Only Memory (PROM), read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk.
The multimedia component 603 may include a screen, which may be a touch screen, and an audio component for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving an external audio signal. The received audio signal may further be stored in a memory or transmitted through a communication component. The audio assembly also includes at least one speaker for outputting audio signals.
The I/O interface 604 provides an interface between the processor 601 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons.
The communication component 605 is used for wired or wireless communication between the electronic device 600 and other devices. Wireless Communication, such as Wi-Fi, bluetooth, near Field Communication (NFC), 2G, 3G, or 4G, or a combination of one or more of them, so that the corresponding Communication component 605 may include: wi-Fi module, bluetooth module, NFC module.
In summary, the present application provides a defrosting method, a defrosting system, an air conditioner, a storage medium, and an electronic device, where the method includes: acquiring preset data of the air conditioner in real time; continuously calculating the frosting amount of the air conditioner according to the preset data and preset time intervals; comparing the frosting amount with a first preset threshold value; and if the frosting amount is larger than the first preset threshold value, controlling the air conditioner to defrost without reversing. According to the method and the device, the frosting amount of the air conditioner is calculated, the thin frost state of the air conditioner is accurately identified, and non-reversing defrosting is carried out in the thin frost state, so that the comfort of indoor users is greatly improved, and reversing defrosting is carried out when necessary to ensure the reliability of the air conditioner.
In the embodiments provided in the present application, it should be understood that the disclosed method may be implemented in other ways. The above-described method embodiments are merely illustrative.
It should be noted that, in this document, 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 phrases "comprising a component of' 8230; \8230;" does not exclude the presence of additional identical elements in the process, method, article, or apparatus that comprises the element.
Although the embodiments disclosed in the present application are described above, the above description is only for facilitating understanding of the present application, and is not intended to limit the present application. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the disclosure as defined by the appended claims.
Claims (7)
1. A defrosting method characterized in that the method comprises:
acquiring preset data of the air conditioner in real time;
according to a preset time interval, collecting the forecast at the current momentSetting data and the frosting amount obtained by calculation at the previous moment and inputting the data and the frosting amount into a frosting speed model which is trained in advance to obtain the frosting speed at the current moment; the preset data comprises outdoor environment temperature, outdoor environment humidity, external fan rotating speed and condenser outer tube temperature; wherein, the training process of the frosting speed model comprises the following steps: according to the historical outdoor environment temperature, the historical outdoor environment humidity, the historical outer fan rotating speed, the historical condenser outer tube temperature and the historical frosting amount, different outdoor environment temperatures, different outdoor environment humidities, different outer fan rotating speeds, different condenser outer tube temperatures and different frosting speeds under different frosting amounts are obtained through calculation; training a BP neural network according to the different frosting speeds and the corresponding outdoor environment temperature, outdoor environment humidity, external fan rotating speed, condenser outer tube temperature and frosting amount to obtain the frosting speed model; calculating the frosting amount of the current moment according to the frosting speed of the current moment, the preset time interval and the frosting amount calculated at the previous moment; wherein, according to the formula S = S Upper part of + v × t, calculating to obtain the frosting amount S at the current moment; wherein v is the frosting speed at the current moment, t is a preset time interval, S On the upper part Calculating the frost formation amount for the last moment;
comparing the frosting amount with a first preset threshold value;
and if the frosting amount is larger than the first preset threshold value, controlling the air conditioner to defrost without reversing.
2. The method of claim 1, further comprising, before the controlling the air conditioner for non-reversing defrosting:
judging whether the defrosting times are more than the preset times or not;
if the defrosting times are less than or equal to the preset times, executing the step of controlling the air conditioner to defrost without reversing, adding one to the defrosting times and returning the frosting amount to zero;
if the defrosting times are more than the preset times, non-reversing defrosting is not carried out, and the frosting amount is compared with a second preset threshold value;
and if the frosting amount is larger than the second preset threshold value, controlling the air conditioner to perform reversing defrosting, and returning the defrosting times and the frosting amount to zero.
3. The method of claim 1, further comprising, before the collecting preset data of the air conditioner in real time:
the defrosting times and the frosting amount are reduced to zero.
4. A defrosting system characterized in that the system comprises:
the acquisition unit is used for acquiring preset data of the air conditioner in real time;
the calculation unit is used for inputting the frosting amount obtained by calculation according to preset data acquired at the current moment and the previous moment into a frosting speed model trained in advance according to a preset time interval to obtain the frosting speed at the current moment; the preset data comprises outdoor environment temperature, outdoor environment humidity, external fan rotating speed and condenser outer tube temperature; wherein, the training process of the frosting speed model comprises the following steps: according to the historical outdoor environment temperature, the historical outdoor environment humidity, the historical outer fan rotating speed, the historical condenser outer tube temperature and the historical frosting amount, different outdoor environment temperatures, different outdoor environment humidities, different outer fan rotating speeds, different condenser outer tube temperatures and different frosting speeds under different frosting amounts are obtained through calculation; training a BP neural network according to the different frosting speeds and the corresponding outdoor environment temperature, outdoor environment humidity, external fan rotating speed, condenser outer tube temperature and frosting amount to obtain the frosting speed model; calculating the frosting amount at the current moment according to the frosting speed at the current moment, the preset time interval and the frosting amount obtained by calculation at the previous moment; wherein, according to the formula S = S On the upper part + v × t, calculating to obtain the frosting amount S at the current moment; wherein v is the frosting speed at the current moment, t is a preset time interval, S Upper part of Calculating the frosting amount obtained for the last moment;
the comparison unit is used for comparing the frosting amount with a first preset threshold value;
and the defrosting unit is used for controlling the air conditioner to defrost without reversing if the frosting amount is greater than the first preset threshold value.
5. An air conditioner, characterized in that the air conditioner comprises the defrosting system as claimed in claim 4.
6. A storage medium storing a computer program executable by one or more processors for implementing a defrosting method according to any one of claims 1 to 3.
7. An electronic device, comprising a memory and a processor, the memory having a computer program stored thereon, the memory and the processor being communicatively connected to each other, the computer program, when executed by the processor, performing the defrosting method according to any one of claims 1 to 3.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111082305.8A CN113865009B (en) | 2021-09-15 | 2021-09-15 | Defrosting method and system, air conditioner, storage medium and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111082305.8A CN113865009B (en) | 2021-09-15 | 2021-09-15 | Defrosting method and system, air conditioner, storage medium and electronic equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113865009A CN113865009A (en) | 2021-12-31 |
| CN113865009B true CN113865009B (en) | 2022-11-22 |
Family
ID=78996036
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111082305.8A Active CN113865009B (en) | 2021-09-15 | 2021-09-15 | Defrosting method and system, air conditioner, storage medium and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113865009B (en) |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2011067079A (en) * | 2009-09-18 | 2011-03-31 | Toshiba Carrier Corp | Air conditioner |
| CN108386980B (en) * | 2018-03-05 | 2020-06-02 | 奥克斯空调股份有限公司 | Air conditioner defrosting control method and device |
| CN110715401B (en) * | 2019-08-29 | 2020-12-15 | 珠海格力电器股份有限公司 | Defrosting control method and device for air conditioning equipment, medium and air conditioning equipment |
| CN112628942B (en) * | 2020-12-11 | 2021-11-30 | 珠海格力电器股份有限公司 | Defrosting control method and device, storage medium and terminal |
| CN112628940B (en) * | 2020-12-11 | 2022-05-10 | 珠海格力电器股份有限公司 | Air conditioner defrosting control method and device, storage medium and air conditioner |
-
2021
- 2021-09-15 CN CN202111082305.8A patent/CN113865009B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN113865009A (en) | 2021-12-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11802704B2 (en) | Predictive temperature scheduling for a thermostat using machine learning | |
| US11598542B2 (en) | Thermostat scheduling using user devices and machine learning | |
| US12078366B2 (en) | Error correction for predictive schedules for a thermostat | |
| CN110715401B (en) | Defrosting control method and device for air conditioning equipment, medium and air conditioning equipment | |
| CN111023450B (en) | Energy-saving defrosting control method and device, storage medium and air conditioner | |
| US11609014B2 (en) | Predictive presence scheduling for a thermostat using machine learning | |
| CN108317665B (en) | Defrosting control method and control device for air conditioner | |
| CN113865009B (en) | Defrosting method and system, air conditioner, storage medium and electronic equipment | |
| CN107289579A (en) | Air conditioner and its defrosting control method | |
| CN110195913A (en) | A kind of control method slowing down frosting, device and air conditioner | |
| CN109323367B (en) | Air conditioner and defrosting method and device thereof | |
| US20240240820A1 (en) | Inference device and learning device | |
| CN113154636B (en) | Air conditioner defrosting control method and device, storage medium and air conditioner | |
| JP2001227792A (en) | Method of estimating air-conditioning load, and its device | |
| CN117267870A (en) | Defrosting control method and device | |
| CN113739461A (en) | Defrosting control method of heat pump unit, electronic equipment and storage medium | |
| CN114294786B (en) | Optimization method, system, medium and terminal for defrosting entry conditions of air conditioner | |
| CN110567098A (en) | Defrosting control method and device, air conditioner and storage medium | |
| CN117267866A (en) | Defrosting time prediction method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |