CN110274363B - Air conditioner control method and device and air conditioner - Google Patents
Air conditioner control method and device and air conditioner Download PDFInfo
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- CN110274363B CN110274363B CN201910562855.6A CN201910562855A CN110274363B CN 110274363 B CN110274363 B CN 110274363B CN 201910562855 A CN201910562855 A CN 201910562855A CN 110274363 B CN110274363 B CN 110274363B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/32—Responding to malfunctions or emergencies
- F24F11/38—Failure diagnosis
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/52—Indication arrangements, e.g. displays
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—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
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
- F24F11/86—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling compressors within refrigeration or heat pump circuits
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Abstract
The invention discloses an air conditioner control method and device and an air conditioner. Wherein, the method comprises the following steps: determining target parameters according to real-time operation parameters of the air conditioner; comparing the target parameter with a pre-stored standard parameter; and if the difference between the target parameter and the standard parameter is not in the preset range, outputting prompt information for prompting the air conditioner fault. The invention solves the technical problem that the fault judgment result of the air conditioner is influenced by higher or lower exhaust temperature caused by insufficient or excessive refrigerant quantity of the air conditioner in the related technology.
Description
Technical Field
The invention relates to the field of intelligent household appliances, in particular to an air conditioner control method and device and an air conditioner.
Background
The compressor is a core component of the air conditioning system and plays an important role in the operation process of the air conditioning system. The compressor mainly functions to convert low-temperature and low-pressure refrigerant vapor into high-temperature and high-pressure refrigerant vapor by compressing work. Therefore, once the compressor is abnormal, the whole air conditioning system loses power source, and the paralysis phenomenon occurs, so that the normal refrigeration or heating cannot be realized. Therefore, during the cooling or heating process, the health condition of the compressor should be monitored in real time, and when the compressor may be abnormal, the compressor is intervened in advance to prevent or eliminate the fault.
The existing fault detection of the compressor basically judges the running health condition of the compressor directly according to the temperature and the superheat degree of the suction and exhaust gases of the compressor. However, if the exhaust temperature is too high due to insufficient refrigerant quantity or too low due to excessive refrigerant quantity in the system, the method causes great interference to judge whether the compressor is really abnormal.
Aiming at the technical problems that the air conditioner has low or high exhaust temperature and influences the fault judgment result of the air conditioner due to insufficient or excessive refrigerant quantity of the air conditioner in the related technology, an effective solution is not provided at present.
Disclosure of Invention
The embodiment of the invention provides an air conditioner control method and device and an air conditioner, and aims to at least solve the technical problem that the fault judgment result of the air conditioner is influenced due to the fact that the exhaust temperature is higher or lower due to insufficient or excessive refrigerant quantity of the air conditioner in the related technology.
According to an aspect of an embodiment of the present invention, there is provided a control method of an air conditioner, including: determining target parameters according to real-time operation parameters of the air conditioner; comparing the target parameter with a pre-stored standard parameter; and if the difference between the target parameter and the standard parameter is not in the preset range, outputting prompt information for prompting the air conditioner fault.
Optionally, before determining the target parameter according to the real-time operation parameter of the air conditioner, the method further includes: acquiring historical operating parameters of the air conditioner; filtering standard data from historical operating parameters according to a preset algorithm; acquiring an incidence relation between the standard data and the standard parameters; and determining a standard parameter set according to the association relationship, wherein the standard parameter set comprises at least one standard parameter.
Optionally, determining the target parameter according to a real-time operation parameter of the air conditioner includes: acquiring real-time operation parameters of an air conditioner; and converting the real-time operation parameters into target parameters according to the association relation.
Optionally, comparing the target parameter with a pre-stored standard parameter includes: selecting standard parameters corresponding to the real-time operation parameters from the standard parameter set according to the association relation; and comparing the target parameters with the standard parameters corresponding to the real-time operation parameters.
Optionally, the compliance data comprises: the evaporation temperature of evaporimeter, the condensing temperature of condenser, the frequency of compressor and the power of compressor, standard parameter are the electric current of compressor, obtain the incidence relation between data up to standard and the standard parameter, include: acquiring numerical relations of frequency, condensing temperature, evaporating temperature and power; and converting the numerical relation into the incidence relation of frequency, condensing temperature, evaporating temperature and current according to the preset input voltage of the compressor.
Optionally, obtaining a numerical relationship between the frequency, the condensing temperature, the evaporating temperature and the power includes: under the condition that the frequency and the condensation temperature are constant, acquiring the numerical relation between the evaporation temperature and the power; by changing the condensation temperature, acquiring the numerical relation between the evaporation temperature and the power at different condensation temperatures when the frequency is constant; by changing the frequency, the numerical relationship between the evaporating temperature and the power at different condensing temperatures is obtained when different frequencies are used.
Alternatively, the evaporation temperature is obtained from the saturated vapor pressure of the evaporator and the condensation temperature is obtained from the condensation pressure of the condenser.
Optionally, after outputting a prompt message for prompting an air conditioner fault if the difference between the target parameter and the standard parameter is not within the preset range, the method further includes: reducing the frequency of a compressor of an air conditioner; or, the operation of the compressor is stopped.
Optionally, after outputting a prompt message for prompting an air conditioner fault if the difference between the target parameter and the standard parameter is not within the preset range, the method further includes: stopping the operation of a compressor of the air conditioner; starting a standby compressor of the air conditioner.
According to another aspect of the embodiments of the present invention, there is also provided a control apparatus of an air conditioner, including: the determining module is used for determining target parameters according to real-time operation parameters of the air conditioner; the comparison module is used for comparing the target parameters with the pre-stored standard parameters; and the output module is used for outputting prompt information for prompting the air conditioner fault if the difference between the target parameter and the standard parameter is not within the preset range.
According to another aspect of the embodiments of the present invention, there is also provided a storage medium including a stored program, wherein when the program runs, a device on which the storage medium is located is controlled to execute any one of the control methods of the air conditioner.
According to another aspect of the embodiments of the present invention, there is also provided a processor, configured to execute a program, where the program executes any one of the control methods of the air conditioner.
According to another aspect of the embodiments of the present invention, there is also provided an air conditioner including: the detection device is used for detecting real-time operation parameters of the air conditioner; the controller is connected with the detection device and used for determining a target parameter according to the real-time operation parameter and comparing the target parameter with a pre-stored standard parameter; and if the difference between the target parameter and the standard parameter is not in the preset range, outputting prompt information for prompting the air conditioner fault.
In the embodiment of the invention, target parameters are determined according to real-time operation parameters of the air conditioner; comparing the target parameter with a pre-stored standard parameter; and if the difference between the target parameter and the standard parameter is not in the preset range, outputting prompt information for prompting the air conditioner fault. Compared with the prior art, the scheme analyzes the relation between the operation parameters and the target parameters of the air conditioner through the big data technology, converts the real-time operation parameters into the target parameters which are easy to judge and compare, and achieves the purpose of judging the operation state of the compressor in advance through manual intervention, thereby reducing the fault rate of the compressor, reducing the after-sales cost, and further solving the technical problems that the air conditioner has higher or lower exhaust temperature and influences the fault judgment result of the air conditioner due to insufficient or excessive refrigerant quantity of the air conditioner in the related technology.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a flowchart illustrating an alternative air conditioner control method according to embodiment 1 of the present invention;
FIG. 2 is a graph of alternative compressor frequency, condensing temperature, evaporating temperature versus compressor power in accordance with embodiment 1 of the present invention;
FIG. 3 is a graph of alternative compressor frequency, condensing temperature, evaporating temperature versus compressor current according to embodiment 1 of the present invention;
fig. 4 is an operation flowchart of an alternative air conditioner according to embodiment 1 of the present invention for solving a self-fault; and
fig. 5 is a schematic diagram of an alternative control apparatus of an air conditioner according to embodiment 2 of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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 invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention 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 is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. 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.
Example 1
According to an embodiment of the present invention, there is provided an embodiment of a control method of an air conditioner, it should be noted that the steps shown in the flowchart of the drawings may be executed in a computer system such as a set of computer executable instructions, and that although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in an order different from that here.
Fig. 1 is a control method of an air conditioner according to an embodiment of the present invention, as shown in fig. 1, the method including the steps of:
and S102, determining target parameters according to the real-time operation parameters of the air conditioner.
In an alternative, the real-time operation parameter may be an evaporation temperature of an evaporator, a condensation temperature of a condenser, a frequency of a compressor, a power of the compressor, or the like; the target parameter may be determined from at least one real-time operating parameter, the target parameter including at least one of: the air conditioner comprises a compressor, an input voltage of the compressor, an evaporation temperature of an evaporator, a condensation temperature of a condenser, an air suction superheat degree and an exhaust superheat degree, wherein the air suction superheat degree can be the difference between the air suction temperature and a high-pressure saturation temperature of a refrigerant, and the exhaust superheat degree can be the difference between the exhaust temperature and the high-pressure saturation temperature of the refrigerant. Generally, the target parameter is selected to facilitate comparison and judgment, such as the current of the compressor, the input voltage of the compressor, and the like.
It is easy to notice that the health condition of the compressor operation is judged by the suction and exhaust temperature and the suction and exhaust superheat degree of the compressor in the prior art, if the exhaust temperature is higher due to insufficient refrigerant or the exhaust temperature is lower due to excessive refrigerant in the system, the judgment of whether the compressor really has the abnormality has certain influence. In the method, the real-time operation parameters of the air conditioning system are extracted through a big data technology, the real-time operation parameters are converted into target parameters convenient for analysis and comparison, the influence of insufficient or excessive refrigerant quantity on a fault prediction result is avoided, and the real health condition of the operation of the air conditioner can be objectively reflected.
And step S104, comparing the target parameters with the pre-stored standard parameters.
In an alternative, the standard parameter may be a standard value in accordance with a data type of the target parameter, and the standard parameter exists in a table or a curve form in a standard parameter set of the air conditioner.
In the steps, firstly, the real-time operation parameters of the air conditioner are obtained through big data, then the real-time operation parameters are converted into target parameters which are easy to compare and judge, and then the standard parameters corresponding to the target parameters are found out from a standard parameter set prestored in the air conditioner for comparison.
It should be noted that, a complete air conditioner includes a compressor, a condenser, an evaporator, a throttling component, etc., and the real-time operation parameters related to the air conditioner in the operation process are numerous, and the application is not limited, and the protection scope of the application is included as long as the real-time operation parameters and the target parameters have an association relationship and can be regularly circulated.
And step S106, if the difference between the target parameter and the standard parameter is not in the preset range, outputting prompt information for prompting the air conditioner fault.
In an alternative, the prompt message can be used for prompting the fault or possible fault of the air conditioner, and can also be used for prompting the fault or possible fault of a specific component of the air conditioner; the prompt message can be displayed on the mobile terminal of the user or sent to the controller of the air conditioner.
In an optional embodiment, the air conditioner may transmit the real-time operation parameter to a controller of the air conditioner through a GPRS module disposed on the external unit, the controller converts the real-time operation parameter into a target parameter that is easy to compare and determine, and then finds a standard parameter corresponding to the target parameter from a standard parameter set for comparison. If the difference between the two is not in the preset range, sending a short message that the air conditioner may be out of order to the mobile terminal of the user; if the controller finds that the current of the compressor is too high or the evaporation temperature of the evaporator is too low through comparison, a short message that the compressor or the evaporator possibly fails is sent to a mobile terminal of a user, so that the user can master the running health condition of the air conditioning system in time and maintain the air conditioning system.
In the embodiment of the application, firstly, the target parameter is determined according to the real-time operation parameter of the air conditioner, and then the target parameter is compared with the pre-stored standard parameter; and if the difference between the target parameter and the standard parameter is not in the preset range, outputting prompt information for prompting the air conditioner fault. Compared with the prior art, the scheme has the advantages that the relation between the operation parameters and the target parameters of the air conditioner is analyzed through big data, the real-time operation parameters are converted into the target parameters which are easy to judge and compare, and the purpose of judging the operation state of the compressor in advance through manual intervention is achieved, so that the fault rate of the compressor is reduced, the after-sales cost is reduced, and the technical problem that the fault judgment result of the air conditioner is influenced due to the fact that the exhaust temperature is higher or lower due to insufficient or excessive refrigerant quantity of the air conditioner in the related technology is solved.
Optionally, before performing step S102 to determine the target parameter according to the real-time operation parameter of the air conditioner, the method of this embodiment may further include the following steps:
in step S1011, historical operating parameters of the air conditioner are acquired.
In an alternative, the historical operating parameter may also be an evaporating temperature of the evaporator, a condensing temperature of the condenser, a frequency of the compressor, a power of the compressor, and the like, which is not limited herein.
And step S1012, filtering the standard data from the historical operating parameters according to a preset algorithm.
In one alternative, the preset algorithm may be a threshold comparison method, that is, historical operating parameters greater than a maximum threshold and less than a minimum threshold are deleted, and standard data are left; the standard data can be stored in a standard database.
It should be noted that the historical operating parameters may be updated continuously, and the more data is based on big data technology, the more accurate the analysis result is.
Step S1013, acquiring the association relation between the standard data and the standard parameters.
In an alternative, the method for obtaining the association relationship may be based on a big data technology.
The association relationship is difficult to determine between a small number of parameters, and the internal relationship may exist between a large number of parameters. Big data technology can quickly obtain valuable information from various types of parameters.
Step 1014, determining a standard parameter set according to the association relationship, wherein the standard parameter set comprises at least one standard parameter.
In one alternative, the standard parameter set may be converted into a standard curve set by interpolation, so that the standard parameters are described by means of the standard curve. Specifically, the interpolation method may determine a suitable function by fitting according to a plurality of known and discrete standard parameter points (including known abscissa and ordinate values) in the interval, and use the function to calculate an ordinate approximation corresponding to other abscissa points in the interval, thereby converting the discrete standard parameter points into a continuous standard parameter curve.
In the above steps, after the incidence relation between the standard data and the standard parameters is obtained through the big data technology, a set of a series of standard parameters can be obtained through the incidence relation.
Optionally, the step S102 determines the target parameter according to the real-time operation parameter of the air conditioner, and specifically may include:
and step S1021, acquiring real-time operation parameters of the air conditioner.
Step S1022, the real-time operation parameters are converted into target parameters according to the association relationship.
The association relationship between the standard data and the standard parameters is obtained in step S1013, and then the real-time operation parameters can be converted into the target parameters according to the association relationship in the process of determining the target parameters according to the real-time operation parameters of the air conditioner in step S102.
Optionally, the step S104 compares the target parameter with a pre-stored standard parameter, and specifically includes:
and S1041, selecting a standard parameter corresponding to the real-time operation parameter from the standard parameter set according to the association relation.
Step S1042, comparing the target parameter with a standard parameter corresponding to the real-time operation parameter.
In an alternative, the above-mentioned association relationship may be a table, or may be a graph between parameters. If the relationship is a table, the criteria parameter may be selected by table lookup.
It should be noted that, in the standard parameter set, correspondence between various standard parameters, such as a current relationship table corresponding to different frequencies, different condensing temperatures, and different evaporating temperatures, or an input voltage relationship table corresponding to different frequencies, different condensing temperatures, and different evaporating temperatures, are prestored.
If the standard parameter set is obtained in step S1014, the standard parameter corresponding to the target parameter can be selected from the standard parameter set for comparison in the process of comparing the target parameter with the pre-stored standard parameter in step S104.
In an alternative embodiment, the compliance data may include: the standard parameter can be the current of the compressor. Step S1013, acquiring the association relationship between the standard data and the standard parameter, may include the following steps:
step S10131, acquiring the numerical relation among the frequency, the condensation temperature, the evaporation temperature and the power.
Fig. 2 shows a graph of relationship among the compressor frequency, the condensing temperature, the evaporating temperature and the compressor power obtained by the big data technology, as shown in fig. 2, when the compressor frequency is 30 rpm and the condensing temperature is constant, the compressor power and the evaporating temperature are in an inverse correlation relationship, and the higher the evaporating temperature is, the smaller the compressor power is. When the frequency of the compressor is 30 r/s and the evaporation temperature is constant, the power of the compressor is in positive correlation with the condensation temperature, and the higher the condensation temperature is, the higher the power of the compressor is.
Step S10132, converting the numerical relationship into an association relationship between the frequency, the condensing temperature, the evaporating temperature, and the current according to a preset input voltage of the compressor.
Since power is the product of voltage and current. With the input voltage of the compressor known, the relationship graph of the compressor frequency, the condensing temperature, the evaporating temperature and the compressor current can be synchronously calculated, as shown in fig. 3.
Optionally, in step S10131, obtaining a numerical relationship between the frequency, the condensing temperature, the evaporating temperature, and the power may specifically include the following steps:
in step S101311, the numerical relationship between the evaporation temperature and the power is obtained under the condition that the frequency and the condensation temperature are constant.
Step S101312, acquiring the numerical relationship between the evaporation temperature and the power at different condensation temperatures when the frequency is constant by changing the condensation temperature.
Step S101313, the numerical relationship between the evaporating temperature and the power at different condensing temperatures is obtained by changing the frequency.
It should be noted that the above steps are only one of the methods for obtaining the relationship between different frequencies, different condensing temperatures, and different evaporating temperatures and powers, and in fact, step S101311 may also obtain the numerical relationship between the condensing temperature and the power under the condition that the frequency and the evaporating temperature are constant, but it is necessary to ensure that two parameters are constant at a time.
In an optional embodiment, the controller compares a target current parameter determined by a real-time operation parameter of the air conditioner with a standard current parameter in real time through a GPRS module of the air conditioner, and determines whether the target current parameter exceeds a corresponding standard current parameter value in a standard parameter set. And if the real-time target current parameter is more than 5% of the standard current parameter in the running process, judging that the compressor has higher possibility of abnormality.
In the present embodiment, only the current is used as a comparison target, and the comparison target may be an evaporation pressure, an evaporation temperature, a condensation pressure, a condensation temperature, a compressor voltage, an intake superheat degree, an exhaust superheat degree, or the like, in addition to the current of the compressor.
Alternatively, the evaporation temperature is obtained from the saturated vapor pressure of the evaporator and the condensation temperature is obtained from the condensation pressure of the condenser.
For the convenience of analysis and calculation, in general, an air conditioning system is designed to convert a saturated vapor pressure corresponding to a refrigerant into an evaporation temperature and convert a condensation pressure of a condenser into a temperature.
Optionally, after outputting a prompt message for prompting an air conditioner fault if the difference between the target parameter and the standard parameter is not within the preset range in step S104, the method may further include:
step S1061, reducing the frequency of the compressor of the air conditioner.
Alternatively, in step S1062, the operation of the compressor is stopped.
In an alternative, after receiving the prompt message, the air conditioner may suspend the fault by reducing the frequency of the compressor or stopping the operation of the compressor.
Optionally, after outputting a prompt message for prompting an air conditioner fault if the difference between the target parameter and the standard parameter is not within the preset range in step S104, the method may further include:
in step S10631, the operation of the compressor of the air conditioner is stopped.
In step S10632, the backup compressor of the air conditioner is started.
In an alternative, after receiving the prompt message, the air conditioner may stop the operation of the compressor and then start the backup compressor to suspend the fault.
That is, in addition to outputting a prompt message for prompting a fault of the air conditioner to a user so that the user can solve the fault, the air conditioner may also mobilize its own processing system to solve the fault. Fig. 4 shows the operation flow of the air conditioner to solve the self-fault. As shown in fig. 4, the air conditioner sends the operating parameters of the air conditioner, such as evaporation pressure, condensation pressure, compressor frequency and compressor power, to the alternative database through the GPRS module and stores the operating parameters, the alternative database is filtered through an algorithm, standard data is selected for summarizing, sorting and analyzing, numerical relationships among the evaporation pressure, the condensation pressure, the compressor frequency and the compressor power can be obtained, and then a compressor power curve corresponding to different condensation pressures and evaporation pressures is obtained through an interpolation method. Under the condition that the input voltage of the compressor is known, the operating current under the corresponding rotating speed, the evaporating pressure and the condensing pressure during the operation of the compressor can be synchronously calculated, and the operating current under the corresponding rotating speed, the evaporating pressure and the condensing pressure is stored in a standard database. When the air conditioner operates in real time, the controller converts the real-time operation parameters into target current parameters, and selects standard current parameters corresponding to the target current parameters from the standard database for comparison. And if the target current parameter is more than 5% of the corresponding standard current parameter, outputting prompting information of the air conditioner fault to the user terminal. The user terminal can start the self-checking mode of the air conditioner, automatically reduce the rotating speed of the compressor or stop the operation of the compressor through the air conditioner, and then contact maintenance personnel to carry out maintenance, inquire the health condition of an air conditioning system in advance, and prevent the problem that the air conditioner generates qualitative degeneration.
In the embodiment of the invention, target parameters are determined according to real-time operation parameters of the air conditioner; comparing the target parameter with a pre-stored standard parameter; and if the difference between the target parameter and the standard parameter is not in the preset range, outputting prompt information for prompting the air conditioner fault. Compared with the prior art, the scheme has the advantages that the relation between the operation parameters and the target parameters of the air conditioner is analyzed through a big data technology, the real-time operation parameters are converted into the target parameters which are easy to judge and compare, the purpose of judging the operation state of the compressor through manual intervention in advance is achieved, the problem that the air conditioner generates quality degeneration can be prevented, the fault rate of the air conditioner is reduced, the after-sales cost is reduced, and the technical problem that the fault judgment result of the air conditioner is influenced due to the fact that the air exhaust temperature is higher or lower due to insufficient or excessive refrigerant quantity of the air conditioner in the related technology is solved.
Example 2
According to an embodiment of the present invention, a control device of an air conditioner is provided, and fig. 5 is a schematic diagram of the control device of the air conditioner according to the embodiment of the present application. As shown in fig. 5, the apparatus 500 includes a first determination module 502, a comparison module 504, and an output module 506.
The first determining module 502 is configured to determine a target parameter according to a real-time operation parameter of the air conditioner; a comparison module 504, configured to compare the target parameter with a pre-stored standard parameter; and an output module 506, configured to output a prompt message for prompting an air conditioner fault if the difference between the target parameter and the standard parameter is not within the preset range.
Optionally, the apparatus of this embodiment may further include: the first acquisition module is used for acquiring historical operating parameters of the air conditioner before determining target parameters according to the real-time operating parameters of the air conditioner; the filtering module is used for filtering the standard data from the historical operating parameters according to a preset algorithm; the association module is used for acquiring the association relation between the standard data and the standard parameters; and the second determining module is used for determining a standard parameter set according to the association relation, wherein the standard parameter set comprises at least one standard parameter.
Optionally, the first determining module may specifically include: the first determining submodule is used for acquiring real-time operation parameters of the air conditioner; and the first conversion module is used for converting the real-time operation parameters into target parameters according to the association relation.
Optionally, the comparison module may include: the selection module is used for selecting standard parameters corresponding to the real-time operation parameters from the standard parameter set according to the incidence relation; and the comparison submodule is used for comparing the target parameter with the standard parameter corresponding to the real-time operation parameter.
Optionally, the compliance data may include: the standard parameters may be the current of the compressor, and the association module may specifically include: the second acquisition module is used for acquiring the numerical relationship among the frequency, the condensation temperature, the evaporation temperature and the power; and the second conversion module is used for converting the numerical relation into the incidence relation among the frequency, the condensing temperature, the evaporating temperature and the current according to the preset input voltage of the compressor.
Optionally, the second obtaining module may specifically include: the second acquisition submodule is used for acquiring the numerical relation between the evaporation temperature and the power under the condition that the frequency and the condensation temperature are constant; the first change module is used for obtaining the numerical relation between the evaporation temperature and the power at different condensation temperatures when the frequency is constant by changing the condensation temperature; and the second change module is used for obtaining the numerical relation between the evaporation temperature and the power at different condensation temperatures when different frequencies are obtained by changing the frequency.
Alternatively, the evaporation temperature is obtained from the saturated vapor pressure of the evaporator and the condensation temperature is obtained from the condensation pressure of the condenser.
Optionally, the apparatus of this embodiment may further include: the reducing module is used for reducing the frequency of a compressor of the air conditioner after outputting prompt information for prompting the fault of the air conditioner if the difference between the target parameter and the standard parameter is not within a preset range; or the stopping module is used for stopping the operation of the compressor after outputting prompt information for prompting the fault of the air conditioner if the difference between the target parameter and the standard parameter is not in the preset range.
Optionally, the apparatus of this embodiment may further include: the stopping module is used for stopping the operation of a compressor of the air conditioner after outputting prompt information for prompting the fault of the air conditioner if the difference between the target parameter and the standard parameter is not within a preset range; and the starting module is used for starting a standby compressor of the air conditioner.
It should be noted that the first determining module 502, the comparing module 504 and the output module 506 correspond to steps S102 to S106 in embodiment 1, and the three modules are the same as the corresponding steps in the implementation example and the application scenario, but are not limited to the disclosure in embodiment 1.
Example 3
According to an embodiment of the present invention, there is provided a storage medium including a stored program, wherein an apparatus in which the storage medium is controlled to execute the control method of the air conditioner in embodiment 1 when the program is executed.
Example 4
According to an embodiment of the present invention, there is provided a processor for executing a program, wherein the control method of an air conditioner in embodiment 1 is performed when the program is executed.
Example 5
According to an embodiment of the present invention, there is provided an air conditioner including:
and the detection device is used for detecting the real-time operation parameters of the air conditioner.
The controller is connected with the detection device and used for determining a target parameter according to the real-time operation parameter and comparing the target parameter with a pre-stored standard parameter; and if the difference between the target parameter and the standard parameter is not in the preset range, outputting prompt information for prompting the air conditioner fault.
Further, the controller may also execute the instructions of other steps in embodiment 1, which is not described herein again.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (9)
1. A control method of an air conditioner, comprising:
determining target parameters according to the real-time operation parameters of the air conditioner;
comparing the target parameter with a pre-stored standard parameter;
if the difference between the target parameter and the standard parameter is not within a preset range, outputting prompt information for prompting the air conditioner fault; wherein, before determining target parameters according to real-time operation parameters of the air conditioner, the method further comprises:
acquiring historical operating parameters of the air conditioner;
filtering standard data from the historical operating parameters according to a preset algorithm;
acquiring an incidence relation between the standard data and the standard parameters based on a big data technology;
determining a standard parameter set according to the incidence relation, wherein the standard parameter set comprises at least one standard parameter, the standard parameter set is converted into a standard curve set through an interpolation method according to a plurality of known and discrete standard parameter points in an interval, and the standard parameter set is obtained through the standard curve set;
determining target parameters according to the real-time operation parameters of the air conditioner, comprising:
acquiring real-time operation parameters of the air conditioner;
converting the real-time operation parameters into target parameters according to the incidence relation, wherein the target parameters at least comprise one of the following parameters: the current of the compressor, the input voltage of the compressor;
wherein comparing the target parameter with a pre-stored standard parameter comprises: selecting standard parameters corresponding to the real-time operation parameters from the standard parameter set according to the incidence relation; comparing the target parameter with a standard parameter corresponding to the real-time operation parameter;
the standard reaching data comprises: the method comprises the following steps that the evaporation temperature of an evaporator, the condensation temperature of a condenser, the frequency of a compressor and the power of the compressor are measured, the standard parameter is the current of the compressor, and the incidence relation between the standard data and the standard parameter is obtained and comprises the following steps: acquiring the numerical relation among the frequency, the condensing temperature, the evaporating temperature and the power; and converting the numerical relation into the incidence relation among the frequency, the condensing temperature, the evaporating temperature and the current according to the preset input voltage of the compressor.
2. The method of claim 1, wherein obtaining a numerical relationship of the frequency, the condensing temperature, the evaporating temperature, and the power comprises:
acquiring a numerical relation between the evaporation temperature and the power under the condition that the frequency and the condensation temperature are constant;
obtaining the numerical relation between the evaporation temperature and the power at different condensation temperatures when the frequency is constant by changing the condensation temperature;
and obtaining the numerical relation between the evaporation temperature and the power at different condensation temperatures when different frequencies are obtained by changing the frequency.
3. The method according to claim 1, wherein the evaporation temperature is obtained from a saturated vapor pressure of the evaporator and the condensation temperature is obtained from a condensation pressure of the condenser.
4. The method of claim 1, wherein after outputting a prompt message for prompting the air conditioner fault if the difference between the target parameter and the standard parameter is not within a preset range, the method further comprises:
reducing a frequency of a compressor of the air conditioner; or the like, or, alternatively,
stopping the operation of the compressor.
5. The method of claim 1, wherein after outputting a prompt message for prompting the air conditioner fault if the difference between the target parameter and the standard parameter is not within a preset range, the method further comprises:
stopping an operation of a compressor of the air conditioner;
and starting a standby compressor of the air conditioner.
6. A control device of an air conditioner, characterized by comprising:
the determining module is used for determining target parameters according to the real-time operation parameters of the air conditioner;
the comparison module is used for comparing the target parameters with pre-stored standard parameters;
the output module is used for outputting prompt information for prompting the air conditioner fault if the difference between the target parameter and the standard parameter is not within a preset range;
the first acquisition module is used for acquiring historical operating parameters of the air conditioner before determining target parameters according to the real-time operating parameters of the air conditioner; the filtering module is used for filtering the standard data from the historical operating parameters according to a preset algorithm; the association module is used for acquiring the association relation between the standard data and the standard parameters based on a big data technology to obtain the standard data; the second determination module is used for determining a standard parameter set according to the incidence relation, and comprises the steps of converting a plurality of known and discrete standard parameter points in an interval into a standard curve set through an interpolation method, and obtaining the standard parameter set through the standard curve set, wherein the standard parameter set comprises at least one standard parameter;
wherein the determining module comprises: the first determining submodule is used for acquiring real-time operation parameters of the air conditioner; a first conversion module, configured to convert the real-time operating parameter into a target parameter according to the association relationship, where the target parameter at least includes one of: the current of the compressor, the input voltage of the compressor;
the comparison module is further used for selecting a standard parameter corresponding to the real-time operation parameter from the standard parameter set according to the incidence relation; comparing the target parameter with a standard parameter corresponding to the real-time operation parameter;
the standard reaching data comprises: the evaporator evaporating temperature, the condenser condensing temperature, the compressor frequency and the compressor power, the standard parameter is the compressor current, the correlation module includes: the second acquisition module is used for acquiring the numerical relation among the frequency, the condensation temperature, the evaporation temperature and the power; and the second conversion module is used for converting the numerical relationship into the association relationship among the frequency, the condensation temperature, the evaporation temperature and the current according to the preset input voltage of the compressor.
7. A storage medium characterized by comprising a stored program, wherein an apparatus in which the storage medium is located is controlled to execute the control method of the air conditioner according to any one of claims 1 to 5 when the program is executed.
8. A processor, characterized in that the processor is configured to execute a program, wherein the program executes the control method of the air conditioner according to any one of claims 1 to 5.
9. An air conditioner, comprising:
the detection device is used for detecting real-time operation parameters of the air conditioner;
the controller is connected with the detection device and used for determining a target parameter according to the real-time operation parameter and comparing the target parameter with a pre-stored standard parameter; if the difference between the target parameter and the standard parameter is not within a preset range, outputting prompt information for prompting the air conditioner fault;
the controller is further used for acquiring historical operating parameters of the air conditioner before determining target parameters according to the real-time operating parameters of the air conditioner; filtering standard data from the historical operating parameters according to a preset algorithm; acquiring an incidence relation between the standard data and the standard parameters based on a big data technology; determining a standard parameter set according to the incidence relation, wherein the standard parameter set comprises at least one standard parameter; acquiring real-time operation parameters of the air conditioner, and converting the real-time operation parameters into target parameters according to the incidence relation;
the standard reaching data comprises: the controller is used for acquiring numerical relations among the frequency, the condensing temperature, the evaporating temperature and the power; and converting the numerical relation into the incidence relation among the frequency, the condensing temperature, the evaporating temperature and the current according to the preset input voltage of the compressor.
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| CN111319425A (en) * | 2020-03-18 | 2020-06-23 | 郑州新基业汽车电子有限公司 | Vehicle-mounted air conditioning system of electric automobile |
| CN111412681A (en) * | 2020-03-31 | 2020-07-14 | 南京天加环境科技有限公司 | Low-temperature refrigeration control method for air conditioner |
| CN111999083B (en) * | 2020-08-06 | 2021-09-14 | 珠海格力电器股份有限公司 | Standard machine monitoring method and device and storage medium |
| CN112611041B (en) * | 2020-12-18 | 2023-12-12 | 青岛海信日立空调系统有限公司 | Air conditioning unit and electronic expansion valve control method |
| CN113587387A (en) * | 2021-07-19 | 2021-11-02 | 上海佐竹冷热控制技术有限公司 | Air conditioning equipment early warning method and system |
| CN114396705B (en) * | 2021-12-20 | 2023-05-30 | 珠海格力电器股份有限公司 | Air conditioner fault detection method and device, electronic equipment and medium |
| CN115899947A (en) * | 2022-06-21 | 2023-04-04 | 珠海格力电器股份有限公司 | Method and device for detecting content of refrigerant in air conditioner and storage medium |
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| US9823003B2 (en) * | 2014-01-30 | 2017-11-21 | Mitsubishi Electric Corporation | Air-conditioning apparatus and air-conditioning system determining valve setting error |
| CN107560100B (en) * | 2017-08-09 | 2019-10-01 | 宁波奥克斯电气股份有限公司 | The control method of air conditioner coolant not foot protection |
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