CN115468272A - Air conditioner fault identification method and system, computer equipment and storage medium - Google Patents

Air conditioner fault identification method and system, computer equipment and storage medium Download PDF

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Publication number
CN115468272A
CN115468272A CN202211116610.9A CN202211116610A CN115468272A CN 115468272 A CN115468272 A CN 115468272A CN 202211116610 A CN202211116610 A CN 202211116610A CN 115468272 A CN115468272 A CN 115468272A
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China
Prior art keywords
air conditioner
server
value
fault
noise decibel
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CN202211116610.9A
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Chinese (zh)
Inventor
李保水
王子
梁博
刘健军
郑文成
廖海霖
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Gree Electric Appliances Inc of Zhuhai
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Gree Electric Appliances Inc of Zhuhai
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Priority to CN202211116610.9A priority Critical patent/CN115468272A/en
Publication of CN115468272A publication Critical patent/CN115468272A/en
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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F24F11/32—Responding to malfunctions or emergencies
    • F24F11/38—Failure diagnosis
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63—Electronic processing
    • F24F11/64—Electronic processing using pre-stored data
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/70—Control systems characterised by their outputs; Constructional details thereof
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/88—Electrical aspects, e.g. circuits
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F13/00—Details common to, or for air-conditioning, air-humidification, ventilation or use of air currents for screening
    • F24F13/24—Means for preventing or suppressing noise
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F13/00—Details common to, or for air-conditioning, air-humidification, ventilation or use of air currents for screening
    • F24F13/24—Means for preventing or suppressing noise
    • F24F2013/247—Active noise-suppression
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2130/00—Control inputs relating to environmental factors not covered by group F24F2110/00
    • F24F2130/40—Noise

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

Abstract

The embodiment of the invention discloses an air conditioner fault identification method, an air conditioner fault identification system, computer equipment and a storage medium. The method is applied to an air conditioner fault identification system, the air conditioner fault identification system comprises a server, an intelligent air conditioner and a user terminal, and the method comprises the following steps: the intelligent air conditioner obtains an operation noise decibel value and an operation vibration intensity value when an air conditioner external unit operates; when the operating noise decibel value is larger than a preset decibel threshold value and the operating vibration intensity value is larger than a preset intensity threshold value, the intelligent air conditioner sends the operating noise decibel value to the server; the server inputs the operating noise decibel value into a trained air conditioner fault recognition model to perform air conditioner fault recognition processing, and a recognition result is obtained; and the server sends the identification result to the user terminal. Whether the outer machine of air conditioner has the trouble can in time be detected through this scheme.

Description

Air conditioner fault identification method and system, computer equipment and storage medium
Technical Field
The invention relates to the technical field of intelligent household appliances, in particular to an air conditioner fault identification method, an air conditioner fault identification system, computer equipment and a storage medium.
Background
With the increasing living standard of people, the requirements of high-quality life on the household environment are higher and higher. Among them, the improvement of the air conditioner to the space environment is the most important factor.
When the air conditioner adjusts the indoor temperature, the indoor unit is required to be linked with the outer unit to coordinate, the outer unit is arranged on an outer wall of a room, people visually see the indoor unit of the air conditioner indoors, most people pay attention to the indoor unit of the air conditioner, the outer unit of the air conditioner is ignored, the operation condition of the outer unit of the air conditioner is less concerned, and the outer unit can influence the operation of the whole air conditioning system when the outer unit breaks down. However, since the outdoor unit of the air conditioner is located indoors, when the outdoor unit of the air conditioner fails, it is often difficult to find the failure in time, and the service life of the air conditioner is seriously damaged due to long-term operation of the air conditioner under the condition of the failure, a method for detecting whether the outdoor unit of the air conditioner fails in time is urgently needed.
Disclosure of Invention
The embodiment of the invention provides an air conditioner fault identification method, an air conditioner fault identification system, computer equipment and a storage medium, which can detect whether an air conditioner outdoor unit has a fault or not in time.
In a first aspect, an embodiment of the present invention provides an air conditioner fault identification method, which is applied to an air conditioner fault identification system, where the air conditioner fault identification system includes a server, an intelligent air conditioner, and a user terminal, and includes:
the intelligent air conditioner obtains an operation noise decibel value and an operation vibration intensity value when an air conditioner external unit operates;
when the operating noise decibel value is larger than a preset decibel threshold value and the operating vibration intensity value is larger than a preset intensity threshold value, the intelligent air conditioner sends the operating noise decibel value to the server;
the server inputs the operating noise decibel value into a trained air conditioner fault recognition model to perform air conditioner fault recognition processing to obtain a recognition result;
and the server sends the identification result to the user terminal.
In a second aspect, an embodiment of the present invention further provides an air conditioner fault identification system, which includes:
server, intelligent air conditioner and user terminal, wherein:
the intelligent air conditioner is used for acquiring an operation noise decibel value and an operation vibration intensity value when an air conditioner external unit operates; when the operating noise decibel value is larger than a preset decibel threshold value and the operating vibration intensity value is larger than a preset intensity threshold value, the operating noise decibel value is sent to the server;
the server is used for inputting the operating noise decibel value into the trained air conditioner fault recognition model to perform air conditioner fault recognition processing to obtain a recognition result; sending the identification result to the user terminal;
and the user terminal is used for receiving the identification result.
In some embodiments, when the step of performing the air conditioner fault recognition processing in the air conditioner fault recognition model after the operating noise decibel value input training to obtain the recognition result is executed, the server is specifically configured to:
acquiring the noise characteristic of the operating noise decibel value;
and matching the noise characteristics with fault sound characteristics of multiple fault types in a preset fault sound characteristic library to obtain the identification result.
In some embodiments, when the step of sending the operating noise decibel value to the server is executed, the intelligent air conditioner is specifically configured to:
sending the operation noise decibel value and the operation vibration intensity value to the server;
at this time, after the step of executing the step of inputting the operating noise decibel value into the trained air conditioner fault recognition model for air conditioner fault recognition processing to obtain a recognition result, the server is further configured to:
if the identification result indicates that the intelligent air conditioner has no fault, generating a parameter adjusting instruction of the intelligent air conditioner according to the operating noise decibel value and the operating vibration intensity value;
sending the parameter adjusting instruction to the intelligent air conditioner;
at this moment, the intelligent air conditioner is further used for adjusting the running frequency of the compressor according to the parameter adjusting instruction.
In some embodiments, the intelligent air conditioner includes an air conditioner internal unit and the air conditioner external unit, and the intelligent air conditioner is further configured to, when the step of sending the operating noise decibel value and the operating vibration intensity value to the server is implemented:
sending the operation noise decibel value and the operation vibration intensity value to the air conditioner internal unit through the air conditioner external unit;
and sending the operation noise decibel value and the operation vibration intensity value to the server through the air conditioner internal unit.
In some embodiments, the operating vibration strength value comprises: compressor discharge pipe vibration intensity value and compressor suction pipe vibration intensity value.
In some embodiments, after the step of inputting the operating noise decibel value into the trained air conditioner fault recognition model to perform air conditioner fault recognition processing and obtain a recognition result, the server is further configured to:
and if the identification result is that the intelligent air conditioner has a fault, sending maintenance reminding information to the after-sale end of the intelligent air conditioner, wherein the maintenance reminding information is used for indicating that the intelligent air conditioner needs to be maintained, and the maintenance reminding information comprises the type of the fault.
In some embodiments, before the step of inputting the operating noise decibel value into the trained air conditioner fault recognition model to perform air conditioner fault recognition processing and obtain a recognition result, the server is further configured to:
obtaining fault noise samples of multiple fault types;
and training a preset air conditioner fault recognition model according to the fault noise sample to obtain the trained air conditioner fault recognition model.
In a third aspect, an embodiment of the present invention further provides a computer device, which includes a memory and a processor, where the memory stores a computer program, and the processor implements the above method when executing the computer program.
In a fourth aspect, the present invention also provides a computer-readable storage medium, which stores a computer program, the computer program including program instructions, which when executed by a processor, implement the above method.
The embodiment of the invention provides an air conditioner fault identification method, an air conditioner fault identification system, computer equipment and a storage medium. The method is applied to an air conditioner fault recognition system, the air conditioner fault recognition system comprises a server, an intelligent air conditioner and a user terminal, and the method comprises the following steps: the intelligent air conditioner obtains an operation noise decibel value and an operation vibration intensity value when an air conditioner external unit operates; when the operating noise decibel value is larger than a preset decibel threshold value and the operating vibration intensity value is larger than a preset intensity threshold value, the intelligent air conditioner sends the operating noise decibel value to the server; the server inputs the operating noise decibel value into a trained air conditioner fault recognition model to perform air conditioner fault recognition processing, and a recognition result is obtained; and the server sends the identification result to the user terminal. In this scheme, because the operation noise decibel value that detects the outer machine of air conditioner when intelligent air conditioner is greater than predetermineeing the decibel threshold value, and when operation vibration intensity value is greater than predetermineeing the intensity threshold value, can send the operation noise decibel value of gathering to the server, then the server carries out fault identification according to the operation noise decibel value of gathering, and send the identification result to user terminal, make the user in time obtain the information that the air conditioner broke down through user terminal, so can in time detect the outer machine of air conditioner and whether have the trouble through this scheme.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic view of an application scenario of an air conditioner fault identification method according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of an air conditioner fault identification method according to an embodiment of the present invention;
fig. 3 is a schematic flowchart of an air conditioner fault identification method according to another embodiment of the present invention;
FIG. 4 is a schematic block diagram of an air conditioner fault identification system provided by an embodiment of the present invention;
FIG. 5 is a schematic block diagram of a computer device provided by an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It 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 is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items and includes such combinations.
The embodiment of the invention provides an air conditioner fault identification method, an air conditioner fault identification system, computer equipment and a storage medium.
The execution main body of the air conditioner fault identification method can be the air conditioner fault identification system provided by the embodiment of the invention.
Referring to fig. 1, fig. 1 is a schematic view of an application scenario of an air conditioner fault identification method according to an embodiment of the present invention. The air conditioner fault identification method is applied to an air conditioner fault identification system 1 in fig. 1, wherein the air conditioner fault identification system 1 comprises a server 10, an intelligent air conditioner 20 and a user terminal 30, the intelligent air conditioner 20 comprises an air conditioner inner unit 21 and an air conditioner outer unit 22, the air conditioner inner unit 21 comprises a main control unit, a communication unit and other units, the air conditioner outer unit 22 comprises a main control unit, a sound pickup module, a vibration sensor, a communication unit and the like, wherein the main control unit of the air conditioner outer unit 22 is responsible for logic control and scheduling and evaluating and judging collected operation noise decibel values and operation vibration strength values, the sound pickup module is used for acquiring noise generated when the air conditioner outer unit 22 works, the vibration sensor is responsible for monitoring vibration strength of the air conditioner outer unit 22, and the communication unit in the air conditioner outer unit 22 is responsible for communicating with the communication unit in the air conditioner inner unit; the main control unit in the air conditioner internal unit 21 is responsible for logic control, scheduling, control and execution of adjustment setting of the air conditioner, and the like, and the communication unit in the air conditioner internal unit 21 is responsible for network connection, communication with the server 10, data communication with the air conditioner external unit, and the like.
The present invention is not limited with respect to the type of server 10, which may include, but is not limited to: the system comprises an independent server, a server cluster consisting of a plurality of servers, a cloud server and a physical server.
The present invention is not limited to the type of the smart air conditioner 20, and may include, but is not limited to: wall-mounted air conditioner, vertical air conditioner, variable frequency air conditioner, cabinet air conditioner, ceiling air conditioner, window air conditioner, mobile air conditioner, embedded air conditioner.
The type of the user terminal 30 is not limited in the present invention, and may include, but is not limited to: smart watches, mobile phones, and notebook computers.
In the embodiment, the intelligent air conditioner acquires an operation noise decibel value and an operation vibration intensity value when an air conditioner external unit operates; when the operating noise decibel value is larger than a preset decibel threshold value and the operating vibration intensity value is larger than a preset intensity threshold value, the intelligent air conditioner sends the operating noise decibel value to the server; the server inputs the operating noise decibel value into a trained air conditioner fault recognition model to perform air conditioner fault recognition processing, and a recognition result is obtained; and the server sends the identification result to the user terminal.
Fig. 2 is a schematic flow chart of an air conditioner fault identification method according to an embodiment of the present invention. As shown in fig. 2, the method comprises the following steps S110-S150.
And S110, the intelligent air conditioner obtains an operation noise decibel value and an operation vibration intensity value when the air conditioner external unit operates.
When the air conditioner external unit is in a starting state, the air conditioner external unit can monitor the operation noise decibel value and the operation vibration intensity value of the air conditioner external unit in real time during operation.
In some embodiments, specifically, the air conditioner external unit collects noise generated when the air conditioner external unit operates in real time through a built-in sound pickup module; the vibration intensity is monitored through a vibration sensor to obtain an operation vibration intensity value, wherein in some embodiments, the vibration intensity evaluation is judged and evaluated through vibration of a compressor pipe, at this time, the vibration intensity value of a compressor exhaust pipe and the vibration intensity value of a compressor suction pipe need to be obtained at the same time, namely, the obtained operation vibration intensity value comprises the vibration intensity value of the compressor exhaust pipe and the vibration intensity value of the compressor suction pipe.
After the pickup module and the vibration sensor acquire an operation noise decibel value and an operation vibration intensity value, the operation noise decibel value and the operation vibration intensity value are fed back to the main control unit of the air conditioner outdoor unit in real time, so that the main control unit can evaluate and judge the operation noise decibel value and the operation vibration intensity value subsequently, wherein the pickup module is composed of a microphone and an audio amplification circuit.
Specifically, the main control unit of the air conditioner outdoor unit judges whether the current running noise decibel value is larger than a preset decibel threshold value or not, and judges whether the current running vibration intensity value is larger than a preset intensity threshold value or not. And when the current operation noise decibel value is judged to be not more than the preset decibel threshold value and/or the current operation vibration intensity value is judged to be not more than the preset intensity threshold value, the operation noise decibel value and the operation noise decibel value do not need to be sent to the server.
In some embodiments, the preset decibel threshold may be 60dB, or may be other values, which is not limited herein, where the vibration intensity value of the compressor discharge pipe is 0.6mm from the vibration displacement peak-to-peak value (P-P) corresponding to the first preset intensity threshold, and the vibration intensity value of the compressor suction pipe is 0.8mm from the vibration displacement peak-to-peak value (P-P), where the first preset intensity threshold and the second preset intensity threshold may also be set to other values, which is not limited herein.
In some embodiments, when the vibration intensity value of the compressor exhaust pipe is greater than a first preset intensity threshold value and the vibration intensity value of the compressor suction pipe is greater than a second preset intensity threshold value, it indicates that the current operation vibration intensity value is not greater than the preset intensity threshold value; in other embodiments, when the vibration intensity value of the compressor discharge pipe is greater than a first preset intensity threshold value, or the vibration intensity value of the compressor suction pipe is greater than a second preset intensity threshold value, it is stated that the current operation vibration intensity value is not greater than the preset intensity threshold value.
And S120, when the operation noise decibel value is larger than a preset decibel threshold value and the operation vibration intensity value is larger than a preset intensity threshold value, the intelligent air conditioner sends the operation noise decibel value to the server.
In this embodiment, when the operating noise decibel value is greater than the preset decibel threshold value and the operating vibration intensity value is greater than the preset intensity threshold value, the intelligent air conditioner sends the operating noise decibel value to the server.
Specifically, when the main control unit in the air conditioner external unit detects that the operating noise decibel value is greater than the preset decibel threshold value and the operating vibration intensity value is greater than the preset intensity threshold value, the operating noise decibel value is sent to the communication unit in the air conditioner internal unit through the communication unit in the air conditioner external unit, and then the operating noise decibel value is sent to the server through the communication unit in the air conditioner internal unit.
In some embodiments, when the intelligent air conditioner detects that the operating noise decibel value is greater than a preset decibel threshold value and the operating vibration intensity value is greater than a preset intensity threshold value, the currently acquired operating noise decibel value is sent to a server.
Specifically, in some embodiments, when the intelligent air conditioner detects that the operating noise decibel value is greater than the preset decibel threshold value and the operating vibration intensity value is greater than the preset intensity threshold value, the collected operating noise decibel value is continuously sent to the server until the operating noise decibel value and the operating vibration intensity value are continuously lower than the preset decibel threshold value and the duration of the preset intensity threshold value is greater than a preset duration (for example, 5 minutes, where the specific duration is not limited), and the sending of the operating noise decibel value to the server is stopped. In other embodiments, the intelligent air conditioner only sends the operating noise decibel value higher than the preset decibel threshold value to the server.
And S130, the server inputs the operating noise decibel value into the trained air conditioner fault recognition model for air conditioner fault recognition processing, and a recognition result is obtained.
In this embodiment, a trained air conditioner fault recognition model is set in the server, the air conditioner fault recognition model is a deep learning algorithm model, such as an AI model, before step S130, the air conditioner fault recognition model needs to be trained, and the training step is: obtaining fault noise samples of multiple fault types; and training a preset air conditioner fault recognition model according to the fault noise sample to obtain the trained air conditioner fault recognition model.
In this embodiment, except that the training of trouble noise sample need be passed through to the air conditioner trouble recognition model after the training, still need carry out big data analysis study, and then make the air conditioner trouble recognition model after the training can be according to the trouble noise audio data (noise in operation decibel value) of difference, and it has the trouble of which kind to analyze out intelligent air conditioner.
In some embodiments, step S130 includes: the server acquires the noise characteristic of the operating noise decibel value; and the server matches the noise characteristics with fault sound characteristics of multiple fault types in a preset fault sound characteristic library to obtain the identification result. In some embodiments, the noise signature may be the frequency and intensity of the operating noise.
Wherein the identification result comprises the identified specific fault type or no-fault identification result.
S140, the server sends the identification result to the user terminal.
In some embodiments, after the server obtains the identification result, the identification result is sent to a corresponding user terminal, the user terminal may be a terminal device such as a mobile phone or a computer of a user, which can transmit information to the user, and when the identification result is a certain fault type, the user terminal reminds the user that the intelligent air conditioner may have a certain fault hidden danger, and also needs to remind the user to close the intelligent air conditioner, so as to prevent the intelligent air conditioner from being further damaged.
In some embodiments, if the identification result indicates that the intelligent air conditioner has a fault, the server sends maintenance reminding information to an after-sale end of the intelligent air conditioner, where the maintenance reminding information is used to indicate that the intelligent air conditioner needs to perform maintenance processing, and the maintenance reminding information includes a type of the fault.
Therefore, when the intelligent air conditioner is found to have faults, the faults can be reported to the after-sales department automatically, so that the after-sales department actively contacts with the user, and the on-sales fault maintenance is carried out in time.
In summary, the embodiment is applied to an air conditioner fault identification system, which includes a server, an intelligent air conditioner and a user terminal, wherein the intelligent air conditioner obtains an operating noise decibel value and an operating vibration intensity value when an air conditioner external unit operates; when the operating noise decibel value is larger than a preset decibel threshold value and the operating vibration intensity value is larger than a preset intensity threshold value, the intelligent air conditioner sends the operating noise decibel value to the server; the server inputs the operating noise decibel value into a trained air conditioner fault recognition model to perform air conditioner fault recognition processing, and a recognition result is obtained; and the server sends the identification result to the user terminal. In this scheme, because the operation noise decibel value that detects the outer machine of air conditioner when intelligent air conditioner is greater than predetermineeing the decibel threshold value, and when operation vibration intensity value is greater than predetermineeing the intensity threshold value, can send the operation noise decibel value of gathering to the server, then the server carries out fault identification according to the operation noise decibel value of gathering, and send the identification result to user terminal, make the user in time obtain the information that the air conditioner broke down through user terminal, so can in time detect the outer machine of air conditioner and whether have the trouble through this scheme.
Fig. 3 is a schematic flowchart of an air conditioner fault identification method according to another embodiment of the present invention. The air conditioner fault identification system in this embodiment further includes an air conditioner fault identification system that includes a server, an intelligent air conditioner, a user terminal, and an after-sales terminal, and as shown in fig. 3, the air conditioner fault identification method in this embodiment includes steps S210 to S270.
And S210, the intelligent air conditioner obtains an operation noise decibel value and an operation vibration intensity value when the air conditioner external unit operates.
This embodiment is similar to the step S110 in fig. 2, and details thereof are not repeated here.
S220, when the operating noise decibel value is larger than a preset decibel threshold value, and the operating vibration intensity value is larger than a preset intensity threshold value, the intelligent air conditioner sends the operating noise decibel value and the operating vibration intensity value to the server.
In this embodiment, compared to the embodiment corresponding to fig. 2, in this embodiment, in order to intelligently adjust the operation parameters of the intelligent air conditioner, the embodiment further needs to send the operating noise decibel value to the server.
In some embodiments, when the intelligent air conditioner detects that the operating noise decibel value is greater than a preset decibel threshold value and the operating vibration intensity value is greater than a preset intensity threshold value, the intelligent air conditioner continuously sends the collected operating noise decibel value and the collected operating vibration intensity value to the server until the operating noise decibel value and the operating vibration intensity value are continuously lower than the preset decibel threshold value and the time duration of the preset intensity threshold value is greater than the preset time duration, and stops sending the operating noise decibel value and the operating vibration intensity value to the server. In other embodiments, the intelligent air conditioner only sends the operating noise decibel value and the operating vibration intensity value higher than the preset decibel threshold value and the preset intensity threshold value to the server.
Specifically, when the main control unit in the air conditioner external unit detects that the operating noise decibel value is greater than the preset decibel threshold value and the operating vibration intensity value is greater than the preset intensity threshold value, the operating noise decibel value and the preset intensity threshold value are sent to the communication unit in the air conditioner internal unit through the communication unit in the air conditioner external unit, and then the operating noise decibel value and the preset intensity threshold value are sent to the server through the communication unit in the air conditioner internal unit.
And S230, the server inputs the operating noise decibel value into the trained air conditioner fault recognition model to perform air conditioner fault recognition processing, and a recognition result is obtained.
In this embodiment, step S230 is similar to step S130 corresponding to fig. 2, and details thereof are not repeated here.
S240, if the identification result indicates that the intelligent air conditioner has a fault, the server sends the identification result to the user terminal and sends maintenance reminding information to the after-sales end.
In this embodiment, step S240 is similar to step S140 in fig. 2, and details thereof are not repeated herein.
And S250, if the identification result indicates that the intelligent air conditioner has no fault, the server generates a parameter adjusting instruction of the intelligent air conditioner according to the operation noise decibel value and the operation vibration intensity value.
In this embodiment, if the identification result indicates that the intelligent air conditioner is not in fault, the server further adjusts the frequency of the compressor of the intelligent air conditioner according to the operating noise decibel value and the operating vibration intensity value, and first, the server generates a parameter adjustment instruction of the intelligent air conditioner according to the operating noise decibel value and the operating vibration intensity value.
Specifically, an adjusting parameter instruction set of the intelligent air conditioner is arranged in the server, the adjusting parameter instruction set comprises a plurality of adjusting parameter instructions, different adjusting parameter instructions indicate different adjusting parameters, and different adjusting parameter instructions correspond to different operating noise decibel values and operating vibration strength values. In this embodiment, the adjustment parameter instruction corresponding to the operating noise decibel value and the operating vibration intensity value is determined from the adjustment parameter instruction set, and is used as the adjustment parameter instruction which needs to be issued to the intelligent air conditioner currently.
And S260, the server sends the parameter adjusting instruction to the intelligent air conditioner.
In this embodiment, after the service determines the parameters that the current intelligent air conditioner needs to adjust, a parameter adjustment instruction is sent to the intelligent air conditioner.
And S270, adjusting the running frequency of the compressor by the intelligent air conditioner according to the parameter adjusting instruction.
In this embodiment, after the intelligent air conditioner receives the parameter adjustment instruction, the operating frequency of the compressor is adjusted according to the adjustment parameter in the parameter adjustment instruction, for example, the operating frequency of the compressor is reduced.
In the embodiment, if the intelligent air conditioner is operated all the time in the state that the operating noise decibel value is larger than the preset decibel threshold value and the operating vibration intensity value is larger than the preset intensity threshold value, certain damage can be brought to the intelligent air conditioner, fault hidden danger is easily caused, and the service life of equipment can be shortened. And the normal and stable operation of the equipment is ensured, and the service life of the equipment is prolonged.
In conclusion, this embodiment not only can in time automated inspection air conditioner outer machine whether have the trouble to can adjust the operating parameter of intelligent air conditioner voluntarily, protection equipment life.
It should be noted that, for specific explanation of steps in the embodiment corresponding to fig. 3, reference may be made to corresponding description in the embodiment corresponding to fig. 2, and for convenience and brevity of description, no repeated description is provided here.
Fig. 4 is a schematic block diagram of an air conditioner fault identification system according to an embodiment of the present invention. As shown in fig. 4, the present invention also provides an air conditioner fault recognition system 400 corresponding to the above air conditioner fault recognition method. The air conditioner fault identification system comprises a server 401, an intelligent air conditioner 402 and a user terminal 403, wherein:
the intelligent air conditioner 402 is used for acquiring an operation noise decibel value and an operation vibration intensity value when an air conditioner external unit operates; when the operating noise decibel value is larger than a preset decibel threshold value and the operating vibration intensity value is larger than a preset intensity threshold value, sending the operating noise decibel value to the server 401;
the server 401 is configured to input the operating noise decibel value into a trained air conditioner fault recognition model to perform air conditioner fault recognition processing, so as to obtain a recognition result; sending the identification result to the user terminal 403;
the user terminal 403 is configured to receive the identification result.
In some embodiments, when the server 401 executes the step of inputting the operating noise decibel value into the trained air conditioner fault recognition model for air conditioner fault recognition processing to obtain a recognition result, the step is specifically configured to:
acquiring the noise characteristic of the operating noise decibel value;
and matching the noise characteristics with fault sound characteristics of multiple fault types in a preset fault sound characteristic library to obtain the identification result.
In some embodiments, when the intelligent air conditioner 402 performs the step of sending the operating noise decibel value to the server 401, the intelligent air conditioner is specifically configured to:
sending the operating noise decibel value and the operating vibration intensity value to the server 401;
at this time, after executing the step of inputting the operating noise decibel value into the trained air conditioner fault recognition model for air conditioner fault recognition processing, and obtaining a recognition result, the server 401 is further configured to:
if the identification result indicates that the intelligent air conditioner 402 has no fault, generating a parameter adjusting instruction of the intelligent air conditioner 402 according to the operation noise decibel value and the operation vibration intensity value;
sending the parameter adjusting instruction to the intelligent air conditioner 402;
at this time, the intelligent air conditioner 402 is further configured to adjust the operating frequency of the compressor according to the parameter adjustment instruction.
In some embodiments, the intelligent air conditioner 402 includes an air conditioner internal unit and the air conditioner external unit, and when the step of sending the operating noise decibel value and the operating vibration intensity value to the server 401 is implemented, the intelligent air conditioner 402 is further configured to:
sending the operation noise decibel value and the operation vibration intensity value to the air conditioner internal unit through the air conditioner external unit;
and sending the operation noise decibel value and the operation vibration intensity value to the server 401 through the air conditioner internal unit.
In some embodiments, the operating vibration intensity value includes: compressor discharge pipe vibration intensity value and compressor suction pipe vibration intensity value.
In some embodiments, after the step of inputting the operating noise decibel value into the trained air conditioner fault recognition model for air conditioner fault recognition processing to obtain a recognition result, the server 401 is further configured to:
and if the identification result indicates that the intelligent air conditioner 402 has a fault, sending maintenance reminding information to the after-sales end of the intelligent air conditioner 402, wherein the maintenance reminding information indicates that the intelligent air conditioner 402 needs to perform maintenance processing and comprises the type of the fault.
In some embodiments, before the step of inputting the operating noise decibel value into the trained air conditioner fault recognition model for air conditioner fault recognition processing to obtain a recognition result, the server 401 is further configured to:
obtaining fault noise samples of multiple fault types;
and training a preset air conditioner fault recognition model according to the fault noise sample to obtain the trained air conditioner fault recognition model.
In conclusion, the air conditioner fault identification system in the embodiment can timely and automatically detect whether the air conditioner external unit has a fault or not, can automatically adjust the operation parameters of the intelligent air conditioner, and can protect the service life of equipment.
It should be noted that, as can be clearly understood by those skilled in the art, the specific implementation process of the air conditioner fault identification system and each unit may refer to the corresponding description in the foregoing method embodiment, and for convenience and brevity of description, no further description is provided herein.
The air conditioner fault recognition system described above may be implemented in the form of a computer program that can be run on a computer device as shown in fig. 5.
Referring to fig. 5, fig. 5 is a schematic block diagram of a computer device according to an embodiment of the present invention. The computer device 500 may be an air conditioner fault recognition system, or may be a server, an intelligent air conditioner, or a user terminal in the air conditioner fault recognition system.
Referring to fig. 5, the computer device 500 includes a processor 502, memory, and a network interface 505 connected by a system bus 501, where the memory may include a non-volatile storage medium 503 and an internal memory 504.
The non-volatile storage medium 503 may store an operating system 5031 and a computer program 5032. The computer programs 5032 include program instructions that, when executed, cause the processor 502 to perform an air conditioner fault identification method.
The processor 502 is used to provide computing and control capabilities to support the operation of the overall computer device 500.
The internal memory 504 provides an environment for the operation of the computer program 5032 in the non-volatile storage medium 503, and when the computer program 5032 is executed by the processor 502, the processor 502 may be enabled to execute an air conditioner fault identification method.
The network interface 505 is used for network communication with other devices. Those skilled in the art will appreciate that the configuration shown in fig. 5 is a block diagram of only a portion of the configuration associated with aspects of the present invention and is not intended to limit the computing device 500 to which aspects of the present invention may be applied, and that a particular computing device 500 may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
It should be understood that, in the embodiment of the present invention, the Processor 502 may be a Central Processing Unit (CPU), and the Processor 502 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. Wherein a general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
It will be understood by those skilled in the art that all or part of the flow of the method implementing the above embodiments may be implemented by a computer program instructing associated hardware. The computer program includes program instructions, and the computer program may be stored in a storage medium, which is a computer-readable storage medium. The program instructions are executed by at least one processor in the computer system to implement the flow steps of the embodiments of the method described above.
Accordingly, the present invention also provides a storage medium. The storage medium may be a computer-readable storage medium. The storage medium stores a computer program, wherein the computer program comprises program instructions. Which when executed by a processor are adapted to carry out the flow steps of the embodiments of the method described above.
The storage medium may be a usb disk, a removable hard disk, a Read-Only Memory (ROM), a magnetic disk, or various computer-readable storage media that can store program codes, such as an optical disk.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the technical solution. 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 invention.
In the embodiments provided in the present invention, 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. For example, the division of each unit is only one logic function division, and there may be another division manner in actual implementation. For example, various elements or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented.
The steps in the method of the embodiment of the invention can be sequentially adjusted, combined and deleted according to actual needs. The units in the device of the embodiment of the invention can be merged, divided and deleted according to actual needs. In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in a storage medium. Based on such understanding, the technical solution of the present invention essentially or partly contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a terminal, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. An air conditioner fault identification method is applied to an air conditioner fault identification system, the air conditioner fault identification system comprises a server, an intelligent air conditioner and a user terminal, and the air conditioner fault identification method is characterized by comprising the following steps:
the intelligent air conditioner obtains an operation noise decibel value and an operation vibration intensity value when an air conditioner external unit operates;
when the operating noise decibel value is larger than a preset decibel threshold value and the operating vibration intensity value is larger than a preset intensity threshold value, the intelligent air conditioner sends the operating noise decibel value to the server;
the server inputs the operating noise decibel value into a trained air conditioner fault recognition model to perform air conditioner fault recognition processing, and a recognition result is obtained;
and the server sends the identification result to the user terminal.
2. The method according to claim 1, wherein the server inputs the operating noise decibel value into a trained air conditioner fault recognition model for air conditioner fault recognition processing to obtain a recognition result, and the method comprises the following steps:
the server acquires the noise characteristic of the operating noise decibel value;
and the server matches the noise characteristics with fault sound characteristics of multiple fault types in a preset fault sound characteristic library to obtain the identification result.
3. The method according to claim 1, wherein the smart air conditioner sends the operating noise decibel value to the server, and the method comprises:
the intelligent air conditioner sends the operation noise decibel value and the operation vibration intensity value to the server;
the server inputs the operating noise decibel value into a trained air conditioner fault recognition model for air conditioner fault recognition processing, and after a recognition result is obtained, the method further comprises the following steps:
if the identification result indicates that the intelligent air conditioner has no fault, the server generates a parameter adjusting instruction of the intelligent air conditioner according to the operation noise decibel value and the operation vibration intensity value;
the server sends the parameter adjusting instruction to the intelligent air conditioner;
and the intelligent air conditioner adjusts the running frequency of the compressor according to the parameter adjusting instruction.
4. The method of claim 3, wherein the intelligent air conditioner comprises an air conditioner internal unit and an air conditioner external unit, and the intelligent air conditioner sends the operation noise decibel value and the operation vibration intensity value to the server, and the method comprises the following steps:
the air conditioner external unit sends the operation noise decibel value and the operation vibration intensity value to the air conditioner internal unit;
and the air conditioner internal unit sends the operation noise decibel value and the operation vibration intensity value to the server.
5. The method of claim 1, wherein the operating vibration intensity value comprises: compressor discharge pipe vibration intensity value and compressor suction pipe vibration intensity value.
6. The method according to claim 1, wherein the server inputs the operating noise decibel value into a trained air conditioner fault recognition model for air conditioner fault recognition processing, and after obtaining a recognition result, the method further comprises:
and if the identification result is that the intelligent air conditioner has a fault, the server sends maintenance reminding information to the after-sale end of the intelligent air conditioner, wherein the maintenance reminding information is used for indicating that the intelligent air conditioner needs to be maintained, and the maintenance reminding information comprises the type of the fault.
7. The method according to any one of claims 1 to 6, wherein before the server inputs the operating noise decibel value into a trained air conditioner fault recognition model for air conditioner fault recognition processing, and a recognition result is obtained, the method further comprises:
the server acquires fault noise samples of multiple fault types;
and the server trains a preset air conditioner fault recognition model according to the fault noise sample to obtain the trained air conditioner fault recognition model.
8. An air conditioner fault recognition system, comprising: server, intelligent air conditioner and user terminal, wherein:
the intelligent air conditioner is used for acquiring an operation noise decibel value and an operation vibration intensity value when an air conditioner external unit operates; when the operating noise decibel value is larger than a preset decibel threshold value and the operating vibration intensity value is larger than a preset intensity threshold value, the operating noise decibel value is sent to the server;
the server is used for inputting the operating noise decibel value into the trained air conditioner fault recognition model to perform air conditioner fault recognition processing to obtain a recognition result; sending the identification result to the user terminal;
and the user terminal is used for receiving the identification result.
9. A computer arrangement, characterized in that the computer arrangement comprises a memory having stored thereon a computer program and a processor implementing the method according to any of claims 1-7 when executing the computer program.
10. A computer-readable storage medium, characterized in that the storage medium stores a computer program comprising program instructions which, when executed by a processor, implement the method according to any one of claims 1-7.
CN202211116610.9A 2022-09-14 2022-09-14 Air conditioner fault identification method and system, computer equipment and storage medium Pending CN115468272A (en)

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Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211116610.9A CN115468272A (en) 2022-09-14 2022-09-14 Air conditioner fault identification method and system, computer equipment and storage medium

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