CN108799080B - Control system and control method of compressor - Google Patents
Control system and control method of compressor Download PDFInfo
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- CN108799080B CN108799080B CN201810762932.8A CN201810762932A CN108799080B CN 108799080 B CN108799080 B CN 108799080B CN 201810762932 A CN201810762932 A CN 201810762932A CN 108799080 B CN108799080 B CN 108799080B
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- 238000000034 method Methods 0.000 title claims abstract description 45
- 230000006855 networking Effects 0.000 claims abstract description 32
- 238000012423 maintenance Methods 0.000 claims description 10
- 238000004519 manufacturing process Methods 0.000 abstract description 7
- 230000008569 process Effects 0.000 description 9
- 239000002184 metal Substances 0.000 description 8
- 230000004907 flux Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000005057 refrigeration Methods 0.000 description 3
- 238000003745 diagnosis Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
- F04B49/00—Control, e.g. of pump delivery, or pump pressure of, or safety measures for, machines, pumps, or pumping installations, not otherwise provided for, or of interest apart from, groups F04B1/00 - F04B47/00
- F04B49/06—Control using electricity
- F04B49/065—Control using electricity and making use of computers
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2260/00—Function
- F05B2260/80—Diagnostics
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Abstract
The invention provides a control system and a control method of a compressor, wherein the control system comprises: the system comprises a networking module, a control module and a cloud server; the networking module is used for identifying identification information of a compressor to be controlled in a networking state and sending the identification information to the cloud server; the cloud server is used for pre-storing at least one operation parameter corresponding to at least one piece of identification information; when identification information sent by the networking module is received, determining target operation parameters corresponding to the received identification information, and sending the target operation parameters to the control module; and the control module is used for controlling the running state of the compressor to be controlled according to the target running parameter. This scheme can improve the production efficiency of intelligent household electrical appliances.
Description
Technical Field
The invention relates to the technical field of intelligent household appliances, in particular to a control system and a control method of a compressor.
Background
The heart of a refrigerating system such as an intelligent refrigerator, an intelligent air conditioner and the like is a compressor, and the type of the compressor is matched with the type of the refrigerating system, so that the compressor with the corresponding type is generally required to be matched when the refrigerating system is produced.
At present, the parameters of each type of compressor are generally generated into corresponding BIN files, when a refrigeration system of a certain type needs to be produced, a target BIN file matched with the type of the refrigeration system to be produced is found out from each BIN file in a manual mode, the target BIN file is written into a storage chip, and then the storage chip is arranged in the refrigeration system to be produced, so that the compressor is controlled by using the BIN file in the storage chip.
Compressor models are various, the number of BIN files corresponding to the compressor models is large, when the compressor is set through the method, the BIN files need to be searched one by one through a manual method, the searched target BIN files are written into the storage chip, the process consumes more time, and the production efficiency of the intelligent household appliance is low.
Disclosure of Invention
The embodiment of the invention provides a control system and a control method of a compressor, which can improve the production efficiency of intelligent household appliances.
In a first aspect, an embodiment of the present invention provides a control system for a compressor, including: the system comprises a networking module, a control module and a cloud server; wherein,
the networking module is used for identifying the identification information of the compressor to be controlled in a networking state and sending the identification information to the cloud server;
the cloud server is used for pre-storing at least one operation parameter corresponding to at least one piece of identification information; when identification information sent by the networking module is received, determining target operation parameters corresponding to the received identification information, and sending the target operation parameters to the control module;
and the control module is used for controlling the running state of the compressor to be controlled according to the target running parameter.
Preferably, the first and second electrodes are formed of a metal,
the control module includes: the display panel, the main control panel and the driving panel; wherein,
the cloud server is used for determining mechanical parameters and control parameters corresponding to the identification information and sending the mechanical parameters and the control parameters to the display panel;
the display panel is used for sending the mechanical parameters and the control parameters to the main control panel;
the main control board is used for determining the operation parameters of a motor in the compressor to be controlled by using a magnetic field orientation control algorithm according to the mechanical parameters, generating a driving instruction corresponding to the compressor to be controlled according to the operation parameters and the control parameters, and sending the driving instruction to the driving board;
and the driving plate is used for driving the compressor to be controlled to operate according to the driving instruction.
Preferably, the first and second electrodes are formed of a metal,
the control module is further used for acquiring at least one real-time working parameter of the compressor to be controlled and sending the at least one real-time working parameter to the cloud server;
the cloud server is further used for storing standard ranges corresponding to the at least one working parameter respectively; and when the at least one real-time working parameter is received, determining whether each real-time working parameter is in the corresponding standard range, and if not, determining that the running state of the compressor to be controlled is a fault state.
Preferably, the first and second electrodes are formed of a metal,
the control module includes: a display panel; wherein,
the cloud server is further used for generating a fault prompt message when the running state of the compressor to be controlled is determined to be a fault state, and sending the fault prompt message to the display panel;
the display panel is used for displaying the fault prompt message to a user.
Preferably, the first and second electrodes are formed of a metal,
the cloud server is further configured to determine a fault working parameter which is not within a corresponding standard range from the at least one real-time working parameter when it is determined that the operation state of the compressor is a fault state, and send the fault working parameter to an external after-sales service system, so that the after-sales service system generates a corresponding maintenance scheme according to the fault working parameter.
In a second aspect, an embodiment of the present invention provides a method for controlling a compressor by using a control system provided in any one of the above embodiments of the present invention, including:
storing at least one operating parameter corresponding to at least one piece of identification information in a cloud server;
further comprising:
identifying identification information of a compressor to be controlled by using a networking module in a networking state, and sending the identification information to a cloud server;
when the cloud server is used for receiving the identification information, determining a target operation parameter corresponding to the received identification information from the stored at least one operation parameter, and sending the target operation parameter to a control module;
and controlling the running state of the compressor to be controlled by using the control module according to the target running parameter.
Preferably, the first and second electrodes are formed of a metal,
when the control module comprises: when the display panel, the main control panel and the driving panel are used,
the determining, from the stored at least one operating parameter, a target operating parameter corresponding to the received identification information, and sending the target operating parameter to a control module, includes:
determining mechanical parameters and control parameters corresponding to the identification information by using the cloud server, and sending the mechanical parameters and the control parameters to the display panel;
the controlling the running state of the compressor to be controlled by using the control module according to the target running parameter comprises the following steps:
transmitting the mechanical parameters and the control parameters to the main control panel by using the display panel;
determining the operation parameters of a motor in the compressor to be controlled by using the main control board according to the mechanical parameters and a magnetic field orientation control algorithm, generating a driving instruction corresponding to the compressor to be controlled according to the operation parameters and the control parameters, and sending the driving instruction to the driving board;
and driving the compressor to be controlled to operate by using the driving plate according to the driving instruction.
Preferably, the first and second electrodes are formed of a metal,
further comprising: storing standard ranges respectively corresponding to at least one working parameter by using the cloud server;
after the controlling the operating state of the compressor to be controlled according to the target operating parameter by using the control module, the method further includes:
the control module is used for acquiring at least one real-time working parameter of the compressor to be controlled and sending the at least one real-time working parameter to the cloud server;
and when the cloud server receives the at least one real-time working parameter, determining whether each real-time working parameter is in the corresponding standard range, and if not, determining that the running state of the compressor to be controlled is a fault state.
Preferably, the first and second electrodes are formed of a metal,
when the control module includes a display panel,
after the determining that the operation state of the compressor to be controlled is the fault state, the method further comprises the following steps:
generating a fault prompt message by using the cloud server, and sending the fault prompt message to the display panel;
and displaying the fault prompt message to a user by using the display panel.
Preferably, the first and second electrodes are formed of a metal,
after the determining that the operation state of the compressor to be controlled is the fault state, the method further comprises the following steps:
and determining a fault working parameter which is not in a corresponding standard range from the at least one real-time working parameter by using the cloud server, and sending the fault working parameter to an external after-sales service system so that the after-sales service system generates a corresponding maintenance scheme according to the fault working parameter.
The embodiment of the invention provides a control system and a control method of a compressor, wherein in a networking state, a networking module can identify identification information of the compressor to be controlled, then a cloud server determines a target operation parameter corresponding to the identification information from prestored operation parameters, and sends the determined target operation parameter to a control module, so that the control module controls the operation state of the compressor to be controlled according to the target operation parameter. Therefore, automatic control over the compressor is achieved, the BIN file does not need to be found in a manual mode, and the found BIN file is written into the storage chip, so that the production efficiency of the intelligent household appliance is improved.
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 description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a control system of a compressor according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a control system of a compressor according to another embodiment of the present invention;
fig. 3 is a flowchart of a control method of a compressor according to an embodiment of the present invention;
fig. 4 is a flowchart of a control method of a compressor according to another embodiment of the present invention;
fig. 5 is a schematic diagram of information interaction between an intelligent appliance and a cloud server according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer and more complete, the technical solutions in the embodiments of the present invention will be described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention, and based on the embodiments of the present invention, all other embodiments obtained by a person of ordinary skill in the art without creative efforts belong to the scope of the present invention.
As shown in fig. 1, an embodiment of the present invention provides a control system of a compressor, which may include: a networking module 101, a control module 102, and a cloud server 103; wherein,
the networking module 101 is configured to identify identification information of a compressor to be controlled in a networking state, and send the identification information to the cloud server 103;
the cloud server 103 is configured to pre-store at least one operation parameter corresponding to at least one piece of identification information; when identification information sent by the networking module 101 is received, determining a target operation parameter corresponding to the received identification information, and sending the target operation parameter to the control module 102;
the control module 102 is configured to control an operation state of the compressor to be controlled according to the target operation parameter.
In the above embodiment, in the networking state, the networking module may identify the identification information of the compressor to be controlled, and then the cloud server determines a target operation parameter corresponding to the identification information from the prestored operation parameters and sends the determined target operation parameter to the control module, so that the control module controls the operation state of the compressor to be controlled according to the target operation parameter. Therefore, automatic control over the compressor is achieved, the BIN file does not need to be found in a manual mode, and the found BIN file is written into the storage chip, so that the production efficiency of the intelligent household appliance is improved.
As shown in fig. 2, in an embodiment of the present invention, the control module 102 includes: a display panel 1021, a main control panel 1022, and a driving panel 1023; wherein,
the cloud server 103 is configured to determine a mechanical parameter and a control parameter corresponding to the identification information, and send the mechanical parameter and the control parameter to the display panel 1021;
the display panel 1021 is used for sending the mechanical parameters and the control parameters to the main control panel 1022;
the main control board 1022 is configured to determine, according to the mechanical parameter, an operation parameter of a motor in the compressor to be controlled by using a magnetic field orientation control algorithm, generate a driving instruction corresponding to the compressor to be controlled according to the operation parameter and the control parameter, and send the driving instruction to the driving board 1023;
and the driving plate 1023 is used for driving the compressor to be controlled to operate according to the driving instruction.
Taking an intelligent refrigerator as an example, the matched EEPROM data of each compressor is stored in the cloud server in advance, wherein the EEPROM data comprises mechanical parameters, control parameters and the like of the compressor. Generally, each compressor corresponds to a unique ID number capable of identifying the type of the compressor, when the intelligent refrigerator starts to operate, the ID number of the compressor in the intelligent refrigerator is firstly identified through a networking module (wifi module) arranged in the intelligent refrigerator, the networking module is communicated with a cloud server, and the ID number is sent to the cloud server. After receiving the ID number, the cloud server searches the EEPROM data corresponding to the ID number from the stored EEPROM data, namely determines the mechanical parameters and the control parameters corresponding to the compressor in the intelligent refrigerator. And then the cloud server communicates with a display panel in the intelligent refrigerator, the mechanical parameters and the control parameters are downloaded to the display panel, then the display panel transmits the mechanical parameters and the control parameters to the main control panel, the main control panel generates a driving instruction according to the mechanical parameters and the control parameters, and finally the main control panel communicates with the driving plate and transmits the driving instruction to the driving plate, so that the operation of the compressor is controlled.
In particular, the mechanical parameters include: the stator resistance, the rotor resistance, the stator self-inductance, the rotor self-inductance, the synchronous electrical angular velocity and the slip electrical angular velocity of the motor in the compressor to be controlled;
the main control board is used for determining a stator flux linkage vector and a rotor flux linkage vector corresponding to the motor according to the stator resistance, the rotor resistance, the stator self-inductance and the rotor self-inductance; calculating a stator voltage vector, a stator current vector and a rotor current vector of a motor corresponding to the compressor to be controlled according to the following calculation formula;
wherein u issCharacterizing the stator voltage vector, isCharacterizing said current vector, irCharacterizing the rotor current vector and, in particular,
the stator flux linkage vector is characterized,
characterizing rotor flux linkage vector, ω1Characterizing synchronous electrical angular velocity, ωsCharacterizing slip electric angular velocity, RsCharacterizing stator resistance, RrCharacterizing rotor resistance, LsCharacterisation of stator self-inductance, LrCharacterizing rotor self-inductance, LmAnd (4) representing mutual inductance, wherein D is a differential operator.
The main control board determines the operation parameters of the motor in the compressor by using a magnetic field orientation control algorithm through the properties of the compressor such as resistance and inductance, and the like, so that the accurate control of the compressors of different models can be realized.
In an embodiment of the present invention, the control module 102 is further configured to acquire at least one real-time operating parameter of the compressor to be controlled, and send the at least one real-time operating parameter to the cloud server 103;
the cloud server 103 is further configured to store standard ranges corresponding to at least one working parameter respectively; and when the at least one real-time working parameter is received, determining whether each real-time working parameter is in the corresponding standard range, and if not, determining that the running state of the compressor to be controlled is a fault state.
The EEPROM data of each compressor stored in the cloud server further includes a fault diagnosis parameter range of the working parameter corresponding to each compressor, that is, a standard range for determining whether the working parameter is normal. In the running process of the compressor, real-time working parameters such as voltage, current, power and rotating speed of the compressor are sequentially transmitted back to the cloud server through the driving plate, the main control board and the display board, the cloud server compares the real-time working parameters to be transmitted back with the corresponding standard ranges respectively, so that whether the running state of the compressor is normal or not is judged, and if a certain real-time working parameter is not in the corresponding standard range, the cloud server determines that the compressor is in a fault state.
When the cloud server determines that the compressor is in the fault state, a fault prompt message is generated and sent to the display panel, the fault prompt message is displayed to a user through the display panel, the fault state of the compressor of the user is reminded, the user is reminded of stopping using the intelligent household appliance corresponding to the compressor, such as an intelligent refrigerator or an intelligent air conditioner, and further damage to the intelligent household appliance is avoided.
In addition, when the cloud server determines that the compressor is in a fault state, fault working parameters which are not in a corresponding standard range are determined from all real-time working parameters transmitted back by the compressor, and the fault working parameters are sent to an external after-sales service system, so that the after-sales service system generates a corresponding maintenance scheme according to the fault working parameters. The method is beneficial to timely and accurately diagnosing the fault reason according to the fault working parameters by the after-sales service system, and generating a maintenance scheme aiming at the fault reason, so that the fault of the compressor can be solved as soon as possible, the long-time waiting of a user is avoided, and the user experience is improved.
Specifically, the cloud server is configured to determine a standard coefficient corresponding to each of the real-time working parameters by using the following calculation formula; when the standard coefficient is larger than a preset threshold value, determining that the compressor to be controlled is in the fault state;
wherein M characterizes the standard factor, aiCharacterizing the ith said real-time operating parameter, bi1A lower limit value representing a standard range corresponding to the ith real-time working parameter, bi2And representing the upper limit value of the standard range corresponding to the ith real-time working parameter.
In practical applications, the preset threshold is generally set to 0. For example, the standard range corresponding to the compressor voltage is 1-10V, when the received real-time voltage is 15V, the standard coefficient can be calculated to be 2 according to the calculation formula, and at this time, the compressor can be determined to be in a fault state.
As shown in fig. 3, an embodiment of the present invention provides a method for controlling a compressor by using a control system provided in any of the above embodiments of the present invention, and the method may include the following steps:
step 301: storing at least one operating parameter corresponding to at least one piece of identification information in a cloud server;
step 302: identifying identification information of a compressor to be controlled by using a networking module in a networking state, and sending the identification information to a cloud server;
step 303: when the cloud server is used for receiving the identification information, determining a target operation parameter corresponding to the received identification information from the stored at least one operation parameter, and sending the target operation parameter to a control module;
step 304: and controlling the running state of the compressor to be controlled by using the control module according to the target running parameter.
In one embodiment of the present invention, when the control module includes: when the display panel, the main control panel and the driving panel are used, the specific implementation manner of step 303 may include:
determining mechanical parameters and control parameters corresponding to the identification information by using the cloud server, and sending the mechanical parameters and the control parameters to the display panel;
specific embodiments of step 304 may include:
transmitting the mechanical parameters and the control parameters to the main control panel by using the display panel;
determining the operation parameters of a motor in the compressor to be controlled by using the main control board according to the mechanical parameters and a magnetic field orientation control algorithm, generating a driving instruction corresponding to the compressor to be controlled according to the operation parameters and the control parameters, and sending the driving instruction to the driving board;
and driving the compressor to be controlled to operate by using the driving plate according to the driving instruction.
In one embodiment of the present invention, the method may further comprise: storing standard ranges respectively corresponding to at least one working parameter by using the cloud server;
then after step 304, it may further include:
the control module is used for acquiring at least one real-time working parameter of the compressor to be controlled and sending the at least one real-time working parameter to the cloud server;
and when the cloud server receives the at least one real-time working parameter, determining whether each real-time working parameter is in the corresponding standard range, and if not, determining that the running state of the compressor to be controlled is a fault state.
In one embodiment of the present invention, when the control module includes a display panel,
after the determining that the operation state of the compressor to be controlled is the fault state, the method may further include:
generating a fault prompt message by using the cloud server, and sending the fault prompt message to the display panel;
and displaying the fault prompt message to a user by using the display panel.
In an embodiment of the present invention, after determining that the operation state of the compressor to be controlled is a fault state, the method may further include:
and determining a fault working parameter which is not in a corresponding standard range from the at least one real-time working parameter by using the cloud server, and sending the fault working parameter to an external after-sales service system so that the after-sales service system generates a corresponding maintenance scheme according to the fault working parameter.
The following takes the compressor control system of the intelligent refrigerator shown in fig. 2 as an example to describe in detail the compressor control method provided by the embodiment of the present invention, as shown in fig. 4, the method may include the following steps:
step 401: and storing at least one operating parameter corresponding to at least one ID number and a standard range corresponding to each operating parameter in the cloud server.
Step 402: the method comprises the steps of identifying the ID number of a compressor in the intelligent refrigerator by using a networking module in the intelligent refrigerator in a networking state, and sending the identified ID number to a cloud server.
Step 403: and determining a target operation parameter corresponding to the received ID number from the stored operation parameters by using the cloud server, and sending the target operation parameter to a display panel of the intelligent refrigerator.
Step 404: and the target operation parameters are sent to the main control board by using the display board of the intelligent refrigerator, and the main control board generates a driving instruction according to the target operation parameters and transmits the driving instruction to the driving board.
Step 405: and driving the compressor by using the driving plate to operate according to the driving instruction.
Step 406: the compressor transmits real-time working parameters such as current, voltage, power and rotating speed to the drive plate in the operation process, the drive plate transmits the real-time working parameters to the main control board, and the main control board transmits the real-time working parameters back to the cloud server.
Step 407: and judging whether each real-time working parameter is in the corresponding standard range by using the cloud server, if so, ending the current process, and otherwise, executing the step 408.
Step 408: and determining that the compressor is in a fault state, generating fault prompt information, sending the fault prompt information to a display panel, and displaying the fault prompt information to a user by using the display panel.
Step 409: and determining fault working parameters which are not in the corresponding standard range from real-time working parameters such as current, voltage, power, rotating speed and the like, and sending the fault working parameters to an external after-sales service system so that the after-sales service system generates a corresponding maintenance scheme according to the fault working parameters.
In summary, information interaction is realized between the intelligent refrigerator and the cloud server through two paths, and information of the two paths goes to the state shown in fig. 5. The main function of the first path is to control the compressor, namely the cloud server transmits EEPROM data of the compressor to the intelligent refrigerator according to the ID number of the compressor so as to drive the compressor to operate in the optimal state. And the second path drives real-time working parameters returned to the compressor so that the cloud server performs fault detection on the compressor. Therefore, the intelligent control and fault diagnosis of the intelligent refrigerator are realized, the process is simple, time-saving and easy to operate, and the production, management and after-sale efficiency of the intelligent refrigerator is improved. It is understood that the control process of other types of intelligent appliances (such as an intelligent air conditioner) is the same as that of the intelligent refrigerator, and is not described herein again.
In summary, the above embodiments of the present invention have at least the following advantages:
1. in the embodiment of the invention, in a networking state, the networking module can identify the identification information of the compressor to be controlled, then the cloud server determines the target operation parameter corresponding to the identification information from the prestored operation parameters, and sends the determined target operation parameter to the control module, so that the control module controls the operation state of the compressor to be controlled according to the target operation parameter. Therefore, automatic control over the compressor is achieved, the BIN file does not need to be found in a manual mode, and the found BIN file is written into the storage chip, so that the production efficiency of the intelligent household appliance is improved.
2. In the embodiment of the invention, the main control board determines the operation parameters of the motor in the compressor by using the magnetic field orientation control algorithm according to the properties of the compressor such as resistance and inductance, and the like, thereby being beneficial to realizing the accurate control of compressors of different models.
3. In the embodiment of the invention, when the cloud server determines that the compressor is in the fault state, the fault prompt message is generated and sent to the display panel, so that the fault prompt message is displayed to the user through the display panel, the fault state of the compressor is reminded to the user, the user is reminded of stopping using the intelligent household appliance corresponding to the compressor, and the intelligent household appliance is prevented from being further damaged.
4. In the embodiment of the invention, when the cloud server determines that the compressor is in the fault state, fault working parameters which are not in the corresponding standard range are determined from all real-time working parameters transmitted back by the compressor, and the fault working parameters are sent to an external after-sales service system, so that the after-sales service system generates a corresponding maintenance scheme according to the fault working parameters. The method is beneficial to timely and accurately diagnosing the fault reason according to the fault working parameters by the after-sales service system, and generating a maintenance scheme aiming at the fault reason, so that the fault of the compressor can be solved as soon as possible, the long-time waiting of a user is avoided, and the user experience is improved.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a" does not exclude the presence of other similar elements in a process, method, article, or apparatus that comprises the element.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it is to be noted that: the above description is only a preferred embodiment of the present invention, and is only used to illustrate the technical solutions of the present invention, and not to limit the protection scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.
Claims (8)
1. A control system for a compressor, comprising: the intelligent household appliance comprises a networking module in the intelligent household appliance, a control module in the intelligent household appliance and a cloud server; wherein,
the networking module is used for identifying the identification information of the compressor to be controlled in the intelligent household appliance in a networking state when the intelligent household appliance starts to operate, and sending the identification information to the cloud server; wherein the identification information includes an ID number;
the cloud server is used for pre-storing at least one operation parameter corresponding to at least one piece of identification information; when identification information sent by the networking module is received, determining target operation parameters corresponding to the received identification information, and sending the target operation parameters to the control module;
the control module is used for controlling the running state of the compressor to be controlled according to the target running parameter;
wherein the control module comprises: the display panel, the main control panel and the driving panel; wherein,
the cloud server is used for determining target operation parameters corresponding to the identification information, wherein the target operation parameters comprise mechanical parameters and control parameters, and sending the mechanical parameters and the control parameters to the display panel;
the display panel is used for sending the mechanical parameters and the control parameters to the main control panel;
the main control board is used for determining the operation parameters of a motor in the compressor to be controlled by using a magnetic field orientation control algorithm according to the mechanical parameters, generating a driving instruction corresponding to the compressor to be controlled according to the operation parameters and the control parameters, and sending the driving instruction to the driving board;
and the driving plate is used for driving the compressor to be controlled to operate according to the driving instruction.
2. The control system of claim 1,
the control module is further used for acquiring at least one real-time working parameter of the compressor to be controlled and sending the at least one real-time working parameter to the cloud server;
the cloud server is further used for storing standard ranges corresponding to the at least one working parameter respectively; and when the at least one real-time working parameter is received, determining whether each real-time working parameter is in the corresponding standard range, and if not, determining that the running state of the compressor to be controlled is a fault state.
3. The control system of claim 2,
the control module includes: a display panel; wherein,
the cloud server is further used for generating a fault prompt message when the running state of the compressor to be controlled is determined to be a fault state, and sending the fault prompt message to the display panel;
the display panel is used for displaying the fault prompt message to a user.
4. The control system of claim 2,
the cloud server is further configured to determine a fault working parameter which is not within a corresponding standard range from the at least one real-time working parameter when it is determined that the operation state of the compressor is a fault state, and send the fault working parameter to an external after-sales service system, so that the after-sales service system generates a corresponding maintenance scheme according to the fault working parameter.
5. A method of controlling a compressor using the control system of any one of claims 1 to 4, comprising:
storing at least one operating parameter corresponding to at least one piece of identification information in a cloud server;
further comprising:
when the intelligent household appliance starts to operate, identifying identification information of a compressor to be controlled in the intelligent household appliance in a networking state by using a networking module in the intelligent household appliance, and sending the identification information to a cloud server; wherein the identification information includes an ID number;
when the cloud server is used for receiving the identification information, determining a target operation parameter corresponding to the received identification information from the stored at least one operation parameter, and sending the target operation parameter to a control module in the intelligent household appliance;
controlling the running state of the compressor to be controlled by using the control module according to the target running parameter;
wherein, when the control module comprises: when the display panel, the main control panel and the driving panel are used,
the determining, from the stored at least one operating parameter, a target operating parameter corresponding to the received identification information, and sending the target operating parameter to a control module, includes:
determining target operation parameters corresponding to the identification information by using the cloud server, wherein the target operation parameters comprise mechanical parameters and control parameters, and sending the mechanical parameters and the control parameters to the display panel;
the controlling the running state of the compressor to be controlled by using the control module according to the target running parameter comprises the following steps:
transmitting the mechanical parameters and the control parameters to the main control panel by using the display panel;
determining the operation parameters of a motor in the compressor to be controlled by using the main control board according to the mechanical parameters and a magnetic field orientation control algorithm, generating a driving instruction corresponding to the compressor to be controlled according to the operation parameters and the control parameters, and sending the driving instruction to the driving board;
and driving the compressor to be controlled to operate by using the driving plate according to the driving instruction.
6. The control method according to claim 5,
further comprising: storing standard ranges respectively corresponding to at least one working parameter by using the cloud server;
after the controlling the operating state of the compressor to be controlled according to the target operating parameter by using the control module, the method further includes:
the control module is used for acquiring at least one real-time working parameter of the compressor to be controlled and sending the at least one real-time working parameter to the cloud server;
and when the cloud server receives the at least one real-time working parameter, determining whether each real-time working parameter is in the corresponding standard range, and if not, determining that the running state of the compressor to be controlled is a fault state.
7. The control method according to claim 6,
when the control module includes a display panel,
after the determining that the operation state of the compressor to be controlled is the fault state, the method further comprises the following steps:
generating a fault prompt message by using the cloud server, and sending the fault prompt message to the display panel;
and displaying the fault prompt message to a user by using the display panel.
8. The control method according to claim 6,
after the determining that the operation state of the compressor to be controlled is the fault state, the method further comprises the following steps:
and determining a fault working parameter which is not in a corresponding standard range from the at least one real-time working parameter by using the cloud server, and sending the fault working parameter to an external after-sales service system so that the after-sales service system generates a corresponding maintenance scheme according to the fault working parameter.
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| CN110360089B (en) * | 2019-05-17 | 2021-07-27 | 保定雷弗流体科技有限公司 | Network-based speed-regulating peristaltic pump system and flow regulating method thereof |
| CN110578677A (en) * | 2019-09-06 | 2019-12-17 | 刘鹏 | Maintenance system based on Internet of things |
| CN112671308B (en) * | 2019-10-14 | 2023-06-16 | 深圳市英威腾电气股份有限公司 | Motor switching control method, frequency converter and computer readable storage medium |
| CN111457558A (en) * | 2020-04-07 | 2020-07-28 | 四川虹美智能科技有限公司 | Cloud intelligent air conditioner control system and method |
| CN114087815A (en) * | 2020-07-30 | 2022-02-25 | 上海海立电器有限公司 | Refrigeration system and self-matching method |
| CN113108527B (en) * | 2021-04-29 | 2022-05-24 | 四川虹美智能科技有限公司 | Parameter configuration system and method for functional special area of intelligent refrigerator |
| CN114398206B (en) * | 2022-01-06 | 2022-11-11 | 北京德风新征程科技有限公司 | Information storage method and device, electronic equipment and computer readable medium |
| CN114997699A (en) * | 2022-06-21 | 2022-09-02 | 北京小米移动软件有限公司 | Control method and device of after-sale controller, storage medium and chip |
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