CN113587363B - Compressor fault detection method and device, computing equipment and storage medium - Google Patents

Compressor fault detection method and device, computing equipment and storage medium Download PDF

Info

Publication number
CN113587363B
CN113587363B CN202110891165.2A CN202110891165A CN113587363B CN 113587363 B CN113587363 B CN 113587363B CN 202110891165 A CN202110891165 A CN 202110891165A CN 113587363 B CN113587363 B CN 113587363B
Authority
CN
China
Prior art keywords
compressor
volumetric efficiency
acquiring
conditioning system
air conditioning
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202110891165.2A
Other languages
Chinese (zh)
Other versions
CN113587363A (en
Inventor
范波
范雨强
李文博
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Midea Group Co Ltd
GD Midea Heating and Ventilating Equipment Co Ltd
Original Assignee
Midea Group Co Ltd
GD Midea Heating and Ventilating Equipment Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Midea Group Co Ltd, GD Midea Heating and Ventilating Equipment Co Ltd filed Critical Midea Group Co Ltd
Priority to CN202110891165.2A priority Critical patent/CN113587363B/en
Publication of CN113587363A publication Critical patent/CN113587363A/en
Application granted granted Critical
Publication of CN113587363B publication Critical patent/CN113587363B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F24F11/32—Responding to malfunctions or emergencies
    • F24F11/38—Failure diagnosis
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63—Electronic processing
    • F24F11/64—Electronic processing using pre-stored data
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/88—Electrical aspects, e.g. circuits
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25B—REFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
    • F25B49/00—Arrangement or mounting of control or safety devices
    • F25B49/02—Arrangement or mounting of control or safety devices for compression type machines, plants or systems
    • F25B49/022—Compressor control arrangements
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25B—REFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
    • F25B2500/00—Problems to be solved
    • F25B2500/22—Preventing, detecting or repairing leaks of refrigeration fluids
    • F25B2500/222—Detecting refrigerant leaks
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25B—REFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
    • F25B2700/00—Sensing or detecting of parameters; Sensors therefor
    • F25B2700/19—Pressures
    • F25B2700/193—Pressures of the compressor
    • F25B2700/1933—Suction pressures
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25B—REFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
    • F25B2700/00—Sensing or detecting of parameters; Sensors therefor
    • F25B2700/21—Temperatures
    • F25B2700/2115—Temperatures of a compressor or the drive means therefor
    • F25B2700/21151—Temperatures of a compressor or the drive means therefor at the suction side of the compressor

Abstract

The application is applicable to the technical field of air conditioning systems, and provides a compressor fault detection method, a compressor fault detection device, a computing device and a storage medium, wherein the method comprises the steps of obtaining operation parameters of the air conditioning system; acquiring actual volumetric efficiency and theoretical volumetric efficiency of the compressor according to the operation parameters; and determining whether the compressor has an internal leakage fault according to the relative error between the actual volumetric efficiency and the theoretical volumetric efficiency. Whether this application can be accurate definite compressor leak the trouble in taking place, be convenient for take corresponding remedial measure when leaking the trouble in the compressor takes place to reliability when improving air conditioning system operation.

Description

Compressor fault detection method and device, computing equipment and storage medium
Technical Field
The application belongs to the technical field of air conditioning systems, and particularly relates to a compressor fault detection method and device, a computing device and a storage medium.
Background
The compressor is a core component of the air conditioning system, the whole air conditioning system is shut down once the compressor is damaged, and the compressor is damaged, difficult to maintain and high in price, so that the real-time attention on the health condition of the compressor is very important. Once the compressor has a soft fault, the efficiency value of the compressor is reduced, energy consumption is increased, and the reliability of the air conditioning system during operation is influenced.
Disclosure of Invention
The embodiment of the application provides a compressor fault detection method and device, computing equipment and a storage medium, which are used for detecting whether a compressor has a fault or not.
A first aspect of an embodiment of the present application provides a compressor fault detection method, including:
acquiring operating parameters of an air conditioning system;
acquiring actual volumetric efficiency and theoretical volumetric efficiency of the compressor according to the operation parameters;
and determining whether the compressor has internal leakage fault according to the relative error between the actual volumetric efficiency and the theoretical volumetric efficiency.
A second aspect of embodiments of the present application provides a compressor failure detection apparatus, including:
the parameter acquisition unit is used for acquiring the operating parameters of the air conditioning system;
the efficiency obtaining unit is used for obtaining the actual volumetric efficiency and the theoretical volumetric efficiency of the compressor according to the operation parameters;
and the fault determination unit is used for determining whether the compressor has internal leakage fault according to the relative error between the actual volumetric efficiency and the theoretical volumetric efficiency.
A third aspect of embodiments of the present application provides a computing device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the steps of the compressor failure detection method according to the first aspect of embodiments of the present application are implemented.
A fourth aspect of embodiments of the present application provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the steps of the compressor fault detection method according to the first aspect of embodiments of the present application.
According to the compressor fault detection method provided by the first aspect of the embodiment of the application, the operation parameters of the air conditioning system are obtained; acquiring actual volumetric efficiency and theoretical volumetric efficiency of the compressor according to the operation parameters; and determining whether the compressor has an internal leakage fault according to the relative error between the actual volumetric efficiency and the theoretical volumetric efficiency, so that corresponding remedial measures can be taken when the compressor has the internal leakage fault, and the reliability of the air-conditioning system in operation is improved.
It is to be understood that, for the beneficial effects of the second aspect to the fourth aspect, reference may be made to the relevant description in the first aspect, and details are not described herein again.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a first schematic flow chart of a compressor fault detection method provided by an embodiment of the present application;
FIG. 2 is a second schematic flow chart of a compressor fault detection method provided by an embodiment of the present application;
FIG. 3 is a third schematic flow chart of a compressor fault detection method provided by an embodiment of the present application;
FIG. 4 is a fourth schematic flow chart of a compressor fault detection method according to an embodiment of the present disclosure;
FIG. 5 is a schematic flow chart illustrating a fifth method for detecting a fault in a compressor according to an embodiment of the present disclosure;
FIG. 6 is a sixth flowchart illustrating a method for detecting a fault in a compressor according to an embodiment of the present disclosure;
fig. 7 is a schematic structural diagram of a compressor fault detection apparatus provided in an embodiment of the present application;
fig. 8 is a schematic structural diagram of a computing device provided in an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to" determining "or" in response to detecting ". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
Furthermore, in the description of the present application and the appended claims, the terms "first," "second," "third," and the like are used for distinguishing between descriptions and not necessarily for describing or implying relative importance.
Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments" unless specifically stated otherwise. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless otherwise specifically stated. "plurality" means two or more.
The embodiment of the application provides a compressor fault detection method, which is applied to an air conditioning system, and can be executed by any computing device which can acquire operating parameters of the air conditioning system and has a data processing function, and specifically is executed by a processor of the computing device when a computer program with a corresponding function is operated.
In application, the air conditioning system can be a single-unit air conditioning system, can also be a multi-split air conditioning system, and can also be a single-cooling system only used for refrigeration. The computing device may be an air conditioning system or a device capable of wireless or wired communication with an air conditioning system, such as a (cloud) server or computer. The (cloud) server or computer may be a computing device in an air conditioning System centralized control System or a Building Management System (BMS).
In application, the air conditioning system comprises an external unit and an internal unit, the external unit comprises a compressor, the internal unit comprises a heat exchanger, and when the fault detection method is executed by the air conditioning system, the air conditioning system further comprises a memory and a processor.
The air conditioning system described in the embodiments of the present application does not constitute a limitation of the air conditioning system, and the air conditioning system may include more or less components, or some components may be combined, or different component arrangements may be provided.
As shown in fig. 1, a method for detecting a fault of a compressor according to an embodiment of the present application includes the following steps S101 to S103:
and step S101, obtaining the operation parameters of the air conditioning system.
Step S102, obtaining actual volume efficiency eta of the compressor according to the operation parameters 1 And theoretical volumetric efficiency η 2 ；
Step S103, according to the actual volume efficiency eta 1 And theoretical volumetric efficiency eta 2 Relative error between delta eta 12 And determining whether the compressor has an internal leakage fault.
In application, the operation parameters to be acquired are parameters related to the volumetric efficiency of the compressor, after the operation parameters are acquired, the actual volumetric efficiency and the theoretical volumetric efficiency can be calculated according to the parameters, and then whether the compressor fails or not is determined according to the relative error between the two volumetric efficiencies.
In one embodiment, step S101 includes:
obtaining enthalpy value h of outlet refrigerant of inner machine of air conditioning system 1 And the enthalpy value h of the inlet refrigerant 2 And the suction pressure Ps, suction temperature Ts, Pd and operating frequency frq of the compressor.
In application, the parameter related to the volumetric efficiency of the compressor comprises the enthalpy h of the outlet refrigerant 1 Enthalpy value h of inlet refrigerant 2 Intake pressure Ps, intake temperature Ts, exhaust pressure Pd, and operating frequency frq.
In application, when the air conditioning system runs, the computing equipment can automatically start to acquire the running parameters of the air conditioning system after the air conditioning system is started to run, and then perform a series of calculations based on the running parameters to obtain the actual volumetric efficiency eta 1 And theoretical volumetric efficiency eta 2 Relative error between Δ η 12 。
In application, when the air conditioning system runs, the user can control the computing equipment to obtain the running parameters of the air conditioning system at any time when the user needs the running parameters, and then a series of calculations are carried out based on the running parameters to obtain the actual volumetric efficiency eta 1 And theoretical volumetric efficiency eta 2 Relative error between Δ η 12 . A user can input a fault detection instruction through a human-computer interaction device of the computing equipment according to actual needs, or the fault detection instruction is sent to the computing equipment through user equipment which is communicated with the computing equipment so as to trigger the computing equipment to execute a compressor fault detection method.
In one embodiment, step S101 is preceded by:
receiving a fault detection instruction sent by a user;
and acquiring the operating parameters of the air conditioning system when the air conditioning system operates according to the fault detection instruction.
In application, a user can directly input a fault detection instruction through a human-computer interaction device of the computing device. The human-computer interaction device of the computing device may include at least one of a physical key, a touch sensor, a gesture recognition sensor, and a voice recognition unit, so that a user may input a fault detection instruction through a corresponding touch manner, gesture manipulation manner, or voice control manner.
In application, the physical keys and the touch sensor may be disposed at any position of the computing device, for example, a control panel of the computing device. The touch manner of the physical key may be pressing or toggling. The touch manner of the touch sensor may be pressing or touching. The gesture recognition sensor can be arranged at any position of the computing device, and the gesture used for controlling the computing device can be set by a user in a self-defined mode according to actual needs or set by default when the user leaves a factory. The speech recognition unit may include a microphone and a speech recognition chip, or may include only a microphone and be implemented by a processor of the computing device for speech recognition functions. The voice used to control the computing device may be set by the user in a customized manner according to actual needs or by default when shipped from the factory.
In the application, a user can also control the user equipment to send a fault detection instruction to the computing equipment through any human-computer interaction mode supported by the user equipment. The user equipment can be an electronic device which has a wired or wireless communication function and can communicate with the computing equipment, such as a remote controller, a wire controller, a mobile phone, an intelligent bracelet, a tablet computer, a notebook computer, a netbook, a Personal Digital Assistant (PDA) and the like. The man-machine interaction mode supported by the user equipment may be the same as that of the computing equipment, and is not described herein again.
As shown in fig. 2, in one embodiment, step S102 includes the following steps S201 to S206:
step S201, according to the enthalpy value h of the outlet refrigerant 1 And an inletEnthalpy value h of refrigerant 2 Obtaining enthalpy difference deltah of the internal machine 12 。
In application, the enthalpy difference Δ h of the inner machine 12 For the enthalpy value h of the outlet refrigerant 1 Enthalpy value h of inlet refrigerant 2 The difference between them, i.e. Δ h 12 ＝h 1 -h 2 。
Step S202, according to the heat exchange quantity Q and the enthalpy difference delta h of the heat exchanger 12 Obtaining the actual flow M of the compressor 1 。
In application, the actual flow rate M 1 Is equal to the heat exchange quantity Q divided by the enthalpy difference delta h 12 I.e. M 1 ＝Q/Δh 12 。
As shown in fig. 3, in one embodiment, step S202 includes the following steps S301 and S302:
s301, when the air conditioning system is in a refrigerating state, according to the refrigerating capacity Q of a heat exchanger of the air conditioning system 1 Sum enthalpy difference Δ h 12 Obtaining the actual flow M of the compressor 1 ；
Step S302, in the heating state of the air conditioning system, according to the heating quantity Q of the heat exchanger of the air conditioning system 2 And enthalpy difference Δ h 12 Obtaining the actual flow M of the compressor 1 。
In application, for an air conditioning system with a refrigeration function, the actual flow rate M 1 And refrigerating capacity Q 1 Sum enthalpy difference Δ h 12 In connection with the actual flow M of the air conditioning system in the cooling state 1 Equal to the refrigerating capacity Q 1 Divided by the enthalpy difference Δ h 12 I.e. M 1 ＝Q 1 /Δh 12 (ii) a For an air conditioning system with heating function, the actual flow M 1 And the amount of heat generation Q 2 Sum enthalpy difference Δ h 12 In relation to the actual flow M of the air conditioning system in the heating state 1 Equal to the refrigerating capacity Q 2 Divided by the enthalpy difference Δ h 12 I.e. M 1 ＝Q 2 /Δh 12 。
As shown in fig. 4, in one embodiment, before step S202, the following steps S401 to S404 are included:
step S401, passing the outlet of the internal machine through the air conditioner system in a refrigeration stateThe heat SH is set to be a first fixed value and a first heat exchange coefficient K of the internal machine is obtained 1 And a heat exchange area A;
step S402, according to the first heat exchange coefficient K 1 The refrigerating capacity Q of the heat exchanger is obtained by the heat exchange area A and the logarithmic temperature difference Delta T of cold and hot fluid of the heat exchanger of the air-conditioning system 1 ；
Step S403, setting the supercooling degree SC of the outlet of the indoor unit as a second fixed value and acquiring a second heat exchange coefficient K of the indoor unit when the air conditioning system is in a heating state 2 And a heat exchange area A;
step S404, according to the second heat exchange coefficient K 2 The heat exchange area A and the logarithmic enthalpy difference delta h of the cold and hot fluid of the heat exchanger of the air-conditioning system are obtained, and the heating capacity Q of the heat exchanger is obtained 2 。
In application, the values of the outlet superheat SH and the outlet subcooling SC may be set according to actual needs and are fixed, for example, the first fixed value is set to 5 ℃, and the second fixed value is set to 10 ℃. The first fixed value and the second fixed value can be set by a user according to actual needs in a self-defining way or by default when the user leaves a factory.
In application, when the air conditioning system is in a refrigeration state, a first heat exchange coefficient K when the outlet superheat degree SH is set as a first fixed value is obtained 1 And based on the first heat exchange coefficient K 1 Calculating the refrigerating capacity Q of the heat exchanger by the heat exchange area A and the logarithmic temperature difference delta T of the cold fluid and the hot fluid 1 ，Q 1 ＝K 1 A Δ T. When the air conditioning system is in a heating state, acquiring a second heat exchange coefficient K when the outlet supercooling degree SC is set as a second fixed value 2 And based on the second heat exchange coefficient K 2 The heat exchange area A and the logarithmic enthalpy difference delta h of the cold and hot fluid are used for obtaining the heating capacity Q of the heat exchanger 2 ，Q 2 ＝K 2 A*Δh。
In one embodiment, step S401 is preceded by:
receiving an outlet superheat degree setting instruction sent by a user;
setting an instruction according to the outlet superheat degree, and setting an outlet superheat degree SH;
before step S402, the method includes:
receiving an outlet supercooling degree setting instruction sent by a user;
and setting an outlet supercooling degree SC according to the outlet supercooling degree setting instruction.
In application, the manner in which the computing device receives the outlet superheat setting instruction and the outlet subcooling setting instruction may be the same as that of the fault detection instruction, and will not be described herein again.
Step S203, acquiring the return air density rho of the compressor according to the suction pressure Ps and the suction temperature Ts.
In application, the return air density ρ is obtained based on the suction pressure Ps, the suction temperature Ts, and the physical properties of the refrigerant, where ρ ═ f 1 (Ps, Ts) wherein, f 1 () As a function of the suction pressure Ps and the suction temperature Ts.
Step S204, obtaining the theoretical flow M of the compressor according to the operation frequency frq and the return air density rho 2 。
In application, the theoretical flow rate M 2 Based on the operation frequency frq, the return air density rho and the rated displacement D of the compressor, M 2 The nominal displacement D is a basic parameter of the known compressor.
Step S205, according to the actual flow M 1 And theoretical flow rate M 2 Obtaining the actual volumetric efficiency eta of the compressor 1 。
In application, the actual volumetric efficiency η 1 Is equal to the actual flow M 1 Divided by the theoretical flow M 2 I.e. eta 1 ＝M 1 /M 2 。
Step S206, obtaining theoretical volumetric efficiency eta of the compressor according to the air suction temperature Ts, the exhaust pressure Pd and the operation frequency frq 2 。
In application, the theoretical volumetric efficiency η 2 Obtained based on the suction temperature Ts, the discharge pressure Pd and the operating frequency frq eta 2 ＝f 2 (Ts, Pd, frq) wherein f 2 () Is a function of the suction temperature Ts, the discharge pressure Pd and the operating frequency frq.
As shown in fig. 5, in one embodiment, step S206 is preceded by:
step S501, fitting a plurality of actual volumetric efficiencies, a plurality of suction pressures and a plurality of discharge pressures of the compressor at each operating frequency to obtain a relational expression among theoretical volumetric efficiency, suction pressure and discharge pressure of the compressor at each operating frequency;
step S206 includes:
step S502, obtaining the theoretical volumetric efficiency of the compressor under the operation frequency according to the suction pressure Ps, the discharge pressure Pd, the operation frequency frq and the relational expression.
In application, when the compressor is in each operating frequency, a plurality of different actual volumetric efficiencies of the compressor and suction pressure and discharge pressure related to each actual volumetric efficiency are obtained, linear fitting is carried out on the data to obtain a relation among theoretical volumetric efficiency, suction pressure and discharge pressure of the compressor in each operating frequency, and theoretical volumetric efficiency eta can be calculated according to the relation, namely suction temperature Ts, discharge pressure Pd and operating frequency frq detected in the subsequent operating process of the air conditioning system 2 。
In one embodiment, the relationship between theoretical volumetric efficiency, suction pressure and discharge pressure for the compressor at each operating frequency is as follows:
Figure BDA0003195970020000071
wherein, a 0 To a 9 For the constant coefficients in the relation between theoretical volumetric efficiency, suction pressure and discharge pressure of the compressor at each operating frequency, obtained from a linear fit, the constant coefficients obtained at each operating frequency of the compressor are not identical.
As shown in fig. 6, in one embodiment, step S103 includes:
step S601 of determining the actual volumetric efficiency eta 1 And theoretical volumetric efficiency eta 2 Relative error between delta eta 12 And when the percentage is larger than the preset percentage, determining that the compressor has internal leakage fault.
In applicationThe preset percentage may be set to any value between 5% and 30%, for example, 20%, according to actual needs. The preset percentage can be set by the user in a self-defined way according to actual needs or by default when the user leaves a factory. Δ η 12 ＝(η 1 -η 2 )/η 2 。
In one embodiment, before step S103, the method comprises:
receiving an error setting instruction sent by a user;
and setting a preset percentage according to the error setting instruction.
In application, the manner in which the error setting instruction is received by the computing device may be the same as that of the fault detection instruction, and is not described herein again.
In one embodiment, after step S103, comprising:
when the compressor has internal leakage fault, an alarm signal is sent out.
In application, if the internal leakage fault of the compressor is determined according to the relative error, a corresponding alarm signal can be sent in any human-computer interaction mode which can be known by a user, so that the user can know the internal leakage fault of the compressor, and the compressor can be maintained by taking corresponding maintenance measures in time.
The compressor fault detection method provided by the embodiment of the application can accurately determine whether the compressor has the internal leakage fault, and is convenient for taking corresponding remedial measures when the compressor has the internal leakage fault, so that the reliability of the air-conditioning system in operation is improved;
by obtaining the relation among the theoretical volumetric efficiency, the suction pressure and the exhaust pressure of the compressor under different operating frequencies, in the actual operation process of the air-conditioning system, the theoretical volumetric efficiency can be calculated by adopting the corresponding relation and based on the suction pressure and the exhaust pressure under the actual operating frequency according to the actual operating frequency of the compressor, and then whether the compressor has internal leakage faults or not under different operating frequencies can be accurately determined.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by functions and internal logic of the process, and should not constitute any limitation to the implementation process of the embodiments of the present application.
The embodiment of the application further provides a compressor fault detection device, which is applied to computing equipment and is used for executing the method steps in the compressor fault detection method embodiment. The compressor failure detection apparatus may be a virtual appliance (virtual appliance) in the computing device, which is executed by a processor of the computing device, or may be the computing device itself.
As shown in fig. 7, a compressor failure detection apparatus 100 according to an embodiment of the present application includes:
a parameter obtaining unit 101, configured to obtain an operation parameter of an air conditioning system;
an efficiency obtaining unit 102 for obtaining an actual volumetric efficiency η of the compressor according to the operation parameter 1 And theoretical volumetric efficiency η 2 ；
A failure determination unit 103 for determining the actual volumetric efficiency eta 1 And theoretical volumetric efficiency eta 2 Relative error between delta eta 12 And determining whether the compressor has an internal leakage fault.
In one embodiment, the compressor failure detection apparatus further comprises:
the receiving unit is used for receiving a fault detection instruction sent by a user;
and the parameter acquisition unit is also used for acquiring the operation parameters of the air conditioning system when the air conditioning system operates according to the fault detection instruction.
In one embodiment, the receiving unit is further configured to receive an outlet superheat degree setting instruction sent by a user;
the compressor failure detection apparatus further includes:
the parameter setting unit is used for setting an outlet superheat SH according to an outlet superheat setting instruction;
the receiving unit is also used for receiving an outlet supercooling degree setting instruction sent by a user;
and the parameter setting unit is also used for setting an outlet supercooling degree SC according to the outlet supercooling degree setting instruction.
In one embodiment, the receiving unit is further configured to receive an error setting instruction sent by a user;
and the parameter setting unit is also used for setting a preset percentage according to the error setting instruction.
In one embodiment, the compressor failure detection apparatus further comprises:
and the sending unit is used for sending out an alarm signal when the compressor has internal leakage fault.
In application, each unit in the compressor fault detection device may be a software program unit, may also be implemented by different logic circuits integrated in the processor, and may also be implemented by a plurality of distributed processors.
As shown in fig. 8, an embodiment of the present application further provides a computing device 200, including: at least one processor 201 (only one processor is shown in fig. 8), a memory 202, and a computer program 203 stored in the memory 202 and operable on the at least one processor 201, the steps in the various compressor failure detection method embodiments described above being implemented when the computer program 203 is executed by the processor 201.
In an application, a computing device may include, but is not limited to, a processor, a memory. Those skilled in the art will appreciate that fig. 8 is merely an example of a computing device and is not intended to be limiting and may include more or fewer components than those shown, or some of the components may be combined, or different components may be included, such as input output devices, network access devices, etc. The input and output device may include the human-computer interaction device, and may further include a display screen for displaying operating parameters of the computing device. The network access device may include a communication unit for the computing device to communicate with the user terminal.
In an Application, the Processor may be a Central Processing Unit (CPU), and the Processor may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
In some embodiments, the storage may be an internal storage unit of the computing device, such as a hard disk or a memory of the computing device. The memory may also be external to the computing device in alternative embodiments, such as a plug-in hard drive, Smart Media Card (SMC), Secure Digital (SD) Card, Flash memory Card (Flash Card), etc. provided on the computing device. The memory may also include both internal storage units of the computing device and external storage devices. The memory is used for storing an operating system, an application program, a Boot Loader (Boot Loader), data, and other programs, such as program codes of computer programs. The memory may also be used to temporarily store data that has been output or is to be output.
In application, the Display screen may be a Thin Film Transistor Liquid Crystal Display (TFT-LCD), a Liquid Crystal Display (LCD), an Organic electroluminescent Display (OLED), a Quantum Dot Light Emitting diode (QLED) Display screen, a seven-segment or eight-segment digital tube, and the like.
In application, the Communication unit may be configured as any device capable of performing wired or Wireless Communication with the user terminal directly or indirectly according to actual needs, for example, the Communication unit may provide a solution for Communication applied to the network device, including Wireless Local Area Networks (WLANs) (e.g., Wi-Fi Networks), bluetooth, Zigbee, mobile Communication Networks, Global Navigation Satellite Systems (GNSS), Frequency Modulation (FM), Near Field Communication (NFC), Infrared technology (Infrared, IR), and the like. The communication unit may include an antenna, and the antenna may have only one array element, or may be an antenna array including a plurality of array elements. The communication unit can receive electromagnetic waves through the antenna, frequency-modulate and filter electromagnetic wave signals, and send the processed signals to the processor. The communication unit can also receive a signal to be sent from the processor, frequency-modulate and amplify the signal, and convert the signal into electromagnetic waves through the antenna to radiate the electromagnetic waves.
It should be noted that, for the information interaction, execution process, and other contents between the above-mentioned devices/units, the specific functions and technical effects thereof are based on the same concept as those of the embodiment of the method of the present application, and specific reference may be made to the part of the embodiment of the method, which is not described herein again.
It will be clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional units is merely illustrated, and in practical applications, the above distribution of functions may be performed by different functional units according to needs, that is, the internal structure of the apparatus may be divided into different functional units to perform all or part of the functions described above. Each functional unit in the embodiments may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units are only used for distinguishing one functional unit from another, and are not used for limiting the protection scope of the present application. The specific working process of the units in the system may refer to the corresponding process in the foregoing method embodiment, and is not described herein again.
An embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements the steps in the above-mentioned compressor fault detection method embodiments.
Embodiments of the present application provide a computer program product, which when run on a computing device, enables the computing device to implement the steps in each of the above-described compressor failure detection method embodiments.
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, all or part of the processes in the methods of the embodiments described above may be implemented by instructing relevant hardware by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the embodiments of the methods described above may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include at least: any entity or apparatus capable of carrying computer program code to a computing device, including recorded media, computer Memory, Read-Only Memory (ROM), Random-Access Memory (RAM), electrical carrier signals, telecommunications signals, and software distribution media. Such as a usb-disk, a removable hard disk, a magnetic or optical disk, etc.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of 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, devices or units, and may be in an electrical, mechanical 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 position, or may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.

Claims (8)

1. A method of detecting a compressor fault, comprising:
acquiring operating parameters of an air conditioning system;
acquiring actual volumetric efficiency and theoretical volumetric efficiency of the compressor according to the operating parameters;
determining whether the compressor has internal leakage fault according to the relative error between the actual volumetric efficiency and the theoretical volumetric efficiency;
the acquiring of the operating parameters of the air conditioning system comprises the following steps:
acquiring an outlet refrigerant enthalpy value and an inlet refrigerant enthalpy value of an inner machine of the air conditioning system, and the air suction pressure, the air suction temperature, the exhaust pressure and the operating frequency of the compressor;
the obtaining of the actual volumetric efficiency and the theoretical volumetric efficiency of the compressor according to the operating parameters includes:
acquiring an enthalpy difference of the inner machine according to the enthalpy value of the outlet refrigerant and the enthalpy value of the inlet refrigerant;
acquiring the actual flow of the compressor according to the heat exchange quantity of a heat exchanger of the air-conditioning system and the enthalpy difference;
acquiring the return air density of the compressor according to the suction pressure and the suction temperature;
acquiring the theoretical flow of the compressor according to the operating frequency and the return air density;
acquiring the actual volumetric efficiency of the compressor according to the actual flow and the theoretical flow;
and acquiring the theoretical volumetric efficiency of the compressor according to the suction pressure, the discharge pressure and the operating frequency.
2. The method for detecting the fault of the compressor, as claimed in claim 1, wherein the obtaining the actual flow rate of the compressor according to the heat exchange amount of the heat exchanger of the air conditioning system and the enthalpy difference comprises:
when the air conditioning system is in a refrigerating state, acquiring the actual flow of the compressor according to the refrigerating capacity of a heat exchanger of the air conditioning system and the enthalpy difference;
and when the air conditioning system is in a heating state, acquiring the actual flow of the compressor according to the heating capacity of a heat exchanger of the air conditioning system and the enthalpy difference.
3. The method for detecting the fault of the compressor according to the claim 2, wherein before the obtaining the actual flow rate of the compressor according to the heat exchange quantity of the heat exchanger of the air conditioning system and the enthalpy difference, the method comprises:
setting the outlet superheat degree of the indoor unit as a first fixed value and acquiring a first heat exchange coefficient and a heat exchange area of the indoor unit when the air conditioning system is in a refrigeration state;
obtaining the refrigerating capacity of a heat exchanger according to the first heat exchange coefficient, the heat exchange area and the logarithmic temperature difference of cold and hot fluids of the heat exchanger of the air conditioning system;
setting the supercooling degree of the outlet of the indoor unit as a second fixed value and acquiring a second heat exchange coefficient and a heat exchange area of the indoor unit when the air conditioning system is in a heating state;
and acquiring the heating capacity of the heat exchanger according to the second heat exchange coefficient, the heat exchange area and the logarithmic enthalpy difference of the cold and hot fluids of the heat exchanger of the air conditioning system.
4. A method for detecting a failure in a compressor as claimed in claim 1, wherein said step of obtaining a theoretical volumetric efficiency of said compressor based on said suction pressure, said discharge pressure and said operating frequency comprises:
fitting a plurality of actual volumetric efficiencies, a plurality of suction pressures and a plurality of discharge pressures of the compressor at each operating frequency to obtain a relational expression among a theoretical volumetric efficiency, the suction pressure and the discharge pressure of the compressor at each operating frequency;
the obtaining of the theoretical volumetric efficiency of the compressor according to the suction pressure, the discharge pressure and the operating frequency comprises:
and acquiring the theoretical volumetric efficiency of the compressor under the operating frequency according to the suction pressure, the discharge pressure, the operating frequency and the relational expression.
5. The compressor failure detecting method according to any one of claims 1 to 4, wherein the determining whether the compressor has an internal leakage failure based on a relative error between the actual volumetric efficiency and the theoretical volumetric efficiency includes:
and when the relative error between the actual volumetric efficiency and the theoretical volumetric efficiency is larger than a preset percentage, determining that the compressor has an internal leakage fault.
6. A compressor failure detection apparatus, comprising:
the parameter acquisition unit is used for acquiring the operating parameters of the air conditioning system;
the efficiency obtaining unit is used for obtaining the actual volumetric efficiency and the theoretical volumetric efficiency of the compressor according to the operation parameters;
the fault determination unit is used for determining whether the compressor has internal leakage fault according to the relative error between the actual volumetric efficiency and the theoretical volumetric efficiency;
the parameter acquisition unit is specifically used for acquiring an outlet refrigerant enthalpy value and an inlet refrigerant enthalpy value of an inner machine of the air conditioning system, and the suction pressure, the suction temperature, the discharge pressure and the operating frequency of the compressor;
the efficiency obtaining unit is specifically configured to:
acquiring an enthalpy difference of the inner machine according to the enthalpy value of the outlet refrigerant and the enthalpy value of the inlet refrigerant;
acquiring the actual flow of the compressor according to the heat exchange quantity of a heat exchanger of the air conditioning system and the enthalpy difference;
acquiring the return air density of the compressor according to the suction pressure and the suction temperature;
acquiring the theoretical flow of the compressor according to the operating frequency and the return air density;
acquiring the actual volumetric efficiency of the compressor according to the actual flow and the theoretical flow;
and acquiring the theoretical volumetric efficiency of the compressor according to the suction pressure, the discharge pressure and the operating frequency.
7. A computing device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the compressor failure detection method according to any one of claims 1 to 5 when executing the computer program.
8. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed by a processor, implements the steps of the compressor failure detection method according to any one of claims 1 to 5.
CN202110891165.2A 2021-08-04 2021-08-04 Compressor fault detection method and device, computing equipment and storage medium Active CN113587363B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110891165.2A CN113587363B (en) 2021-08-04 2021-08-04 Compressor fault detection method and device, computing equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110891165.2A CN113587363B (en) 2021-08-04 2021-08-04 Compressor fault detection method and device, computing equipment and storage medium

Publications (2)

Publication Number Publication Date
CN113587363A CN113587363A (en) 2021-11-02
CN113587363B true CN113587363B (en) 2022-07-26

Family

ID=78254979

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110891165.2A Active CN113587363B (en) 2021-08-04 2021-08-04 Compressor fault detection method and device, computing equipment and storage medium

Country Status (1)

Country Link
CN (1) CN113587363B (en)

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2003036184A1 (en) * 2001-10-25 2003-05-01 Zexel Valeo Climate Control Corporation Control device of variable displacement compressor and variable displacement control device of refrigerating cycle
CN2898372Y (en) * 2005-12-29 2007-05-09 西安庆安制冷设备股份有限公司 Rotor compressor
CN101858347A (en) * 2010-06-04 2010-10-13 曹建生 Scroll type air compressor for braking
CN203286802U (en) * 2013-05-15 2013-11-13 重庆锦罗科技有限公司 Air source screw type heat pump unit
CN103835953A (en) * 2012-11-24 2014-06-04 无锡市锡东压缩机厂 Sliding piece for rolling piston compressor
CN206280252U (en) * 2016-12-13 2017-06-27 萨震压缩机（上海）有限公司 The adjustable two-stage energy-saving air compressor of pressure ratio
CN106969569A (en) * 2017-03-21 2017-07-21 合肥美的电冰箱有限公司 Refrigeration plant control method, system and refrigeration plant
CN109269039A (en) * 2018-08-06 2019-01-25 珠海格力电器股份有限公司 A kind of control method and coolant circulating system of compressor
CN109779894A (en) * 2018-12-29 2019-05-21 西安交通大学 A kind of reciprocating compressor fault diagnosis system and method based on neural network algorithm
CN209164088U (en) * 2018-08-13 2019-07-26 珠海格力节能环保制冷技术研究中心有限公司 A kind of compressor and refrigerating circulatory device
WO2019178799A1 (en) * 2018-03-22 2019-09-26 青岛易图令科技有限公司 Outdoor unit of air conditioner and air conditioner
CN210197491U (en) * 2019-07-16 2020-03-27 宁波奥克斯电气股份有限公司 Air condensing units median septum and air condensing units
CN112443479A (en) * 2019-08-27 2021-03-05 深圳中集智能科技有限公司 Compressor fault diagnosis method and device, storage medium and electronic equipment

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2330818Y (en) * 1998-01-08 1999-07-28 查济瑞 Assembled blade wheel structure for single helical lobe compressor
JP4576870B2 (en) * 2004-04-20 2010-11-10 パナソニック株式会社 Compressor
US7275377B2 (en) * 2004-08-11 2007-10-02 Lawrence Kates Method and apparatus for monitoring refrigerant-cycle systems
DE102006021704B4 (en) * 2006-05-10 2018-01-04 Gea Refrigeration Germany Gmbh Screw compressor for large power outputs
US20090037142A1 (en) * 2007-07-30 2009-02-05 Lawrence Kates Portable method and apparatus for monitoring refrigerant-cycle systems
JP5798937B2 (en) * 2012-01-23 2015-10-21 日立アプライアンス株式会社 Scroll compressor
CN107829932B (en) * 2017-11-30 2019-12-31 珠海格力电器股份有限公司 Screw compressor, air conditioning equipment and volume efficiency adjusting method thereof
CN208918833U (en) * 2018-09-18 2019-05-31 珠海格力节能环保制冷技术研究中心有限公司 Transfiguration cylinder assembly, compressor pump and compressor
CN110940052B (en) * 2018-09-25 2021-03-12 奥克斯空调股份有限公司 Air conditioner refrigerant leakage detection method and air conditioner using same
CN113062857A (en) * 2021-04-28 2021-07-02 烟台东德氢能技术有限公司 Diaphragm compressor detects early warning system

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2003036184A1 (en) * 2001-10-25 2003-05-01 Zexel Valeo Climate Control Corporation Control device of variable displacement compressor and variable displacement control device of refrigerating cycle
CN2898372Y (en) * 2005-12-29 2007-05-09 西安庆安制冷设备股份有限公司 Rotor compressor
CN101858347A (en) * 2010-06-04 2010-10-13 曹建生 Scroll type air compressor for braking
CN103835953A (en) * 2012-11-24 2014-06-04 无锡市锡东压缩机厂 Sliding piece for rolling piston compressor
CN203286802U (en) * 2013-05-15 2013-11-13 重庆锦罗科技有限公司 Air source screw type heat pump unit
CN206280252U (en) * 2016-12-13 2017-06-27 萨震压缩机（上海）有限公司 The adjustable two-stage energy-saving air compressor of pressure ratio
CN106969569A (en) * 2017-03-21 2017-07-21 合肥美的电冰箱有限公司 Refrigeration plant control method, system and refrigeration plant
WO2019178799A1 (en) * 2018-03-22 2019-09-26 青岛易图令科技有限公司 Outdoor unit of air conditioner and air conditioner
CN109269039A (en) * 2018-08-06 2019-01-25 珠海格力电器股份有限公司 A kind of control method and coolant circulating system of compressor
CN209164088U (en) * 2018-08-13 2019-07-26 珠海格力节能环保制冷技术研究中心有限公司 A kind of compressor and refrigerating circulatory device
CN109779894A (en) * 2018-12-29 2019-05-21 西安交通大学 A kind of reciprocating compressor fault diagnosis system and method based on neural network algorithm
CN210197491U (en) * 2019-07-16 2020-03-27 宁波奥克斯电气股份有限公司 Air condensing units median septum and air condensing units
CN112443479A (en) * 2019-08-27 2021-03-05 深圳中集智能科技有限公司 Compressor fault diagnosis method and device, storage medium and electronic equipment

Also Published As

Publication number Publication date
CN113587363A (en) 2021-11-02

Similar Documents

Publication Publication Date Title
EP3348924B1 (en) Air conditioner and air-conditioning system
US20210123626A1 (en) Thermostat with energy modeling
US20120253527A1 (en) Programming Simulator for an HVAC Controller
US20140130524A1 (en) Apparatus for controlling an air conditioner and a method for operating the same
WO2022160672A1 (en) Method and apparatus for measuring amount of refrigerant in refrigeration system, and air conditioner
CN113357743B (en) Environment temperature detection method and device, computing equipment and storage medium
KR101972038B1 (en) An controller and a system of air conditioner comprising thereof
CN114754413B (en) Multi-split air conditioning system and fault positioning method
CN115210508A (en) Equipment management system
US20210018203A1 (en) Failure diagnosis system
CN115854488A (en) Air conditioning equipment and fault detection method
CN113587363B (en) Compressor fault detection method and device, computing equipment and storage medium
CN114877488A (en) Air conditioning system and filth blockage determining method thereof
CN112856716B (en) Air conditioning system and refrigerant state detection method and device thereof
CN113154659A (en) Evaporator state detection method and device, air conditioning equipment and storage medium
US20210207829A1 (en) Air conditioning management system and communication control device
US20160003492A1 (en) Thermistor Emulating CT Clamp
CN108224675A (en) A kind of method and apparatus for reducing power consumption
CN114576798A (en) Multi-split air conditioning system and control method thereof
CN114593498A (en) Air conditioner abnormity detection method, detection terminal, electronic equipment and storage medium
CN113606732B (en) Health degree evaluation method and device, computing equipment and storage medium
CN115264756B (en) Emergency treatment method and device for air conditioning system
CN114413534B (en) Defrosting control method, device, equipment, computer equipment and electronic equipment
CN116624969A (en) Method, apparatus and medium for determining a temperature difference of cooling water supply and return water
CN111413115A (en) Intelligent measurement verification method and system for host efficiency of refrigeration air conditioner

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant