CN115264748A - Air conditioner fault detection method and device, air conditioner and electronic equipment - Google Patents
Air conditioner fault detection method and device, air conditioner and electronic equipment Download PDFInfo
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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
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/54—Control or safety arrangements characterised by user interfaces or communication using one central controller connected to several sub-controllers
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/88—Electrical aspects, e.g. circuits
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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
- F24F11/89—Arrangement or mounting of control or safety devices
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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
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
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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
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
- F24F2110/12—Temperature of the outside air
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Abstract
The invention provides an air conditioner fault detection method, an air conditioner fault detection device, an air conditioner and electronic equipment, wherein the method comprises the following steps: acquiring a plurality of frequency spectrum data groups of an air conditioner in an operating state; the frequency spectrum data set comprises an operating frequency of the air conditioner in the current operating state and a sound pressure level corresponding to the operating frequency; sending the plurality of spectrum data sets to an air conditioner cloud end, performing matching analysis on each spectrum data set through the air conditioner cloud end, and outputting an analysis result; and judging whether the air conditioner operation system is abnormal or not based on the analysis result and prompting a user. According to the invention, the running frequency and the sound pressure level of the air conditioner are processed and analyzed through the air conditioner cloud, so that the fault information of the air conditioner can be more accurately detected, and a user can be prompted in time, thereby improving the efficiency of air conditioner fault detection.
Description
Technical Field
The invention relates to the technical field of intelligent air conditioners, in particular to an air conditioner fault detection method and device, an air conditioner and electronic equipment.
Background
In daily work and life of people, the air conditioner provides convenient services such as refrigeration, heating and dehumidification for people, however, at present, the detection of faults of the air conditioner is not intelligent enough, and the detected actions of the air conditioner are not perfect enough.
Therefore, how to improve the fault detection efficiency of the air conditioner and remind the user in time when the air conditioner fails is a technical problem which needs to be solved urgently at present.
Disclosure of Invention
The invention provides an air conditioner fault detection method and device, an air conditioner and electronic equipment, which are used for solving the defect that the detection of air conditioner faults in the prior art is not intelligent enough, improving the fault detection efficiency of the air conditioner and timely reminding a user when the air conditioner has faults.
The invention provides an air conditioner fault detection method, which comprises the following steps:
acquiring a plurality of frequency spectrum data groups of an air conditioner in an operating state; the frequency spectrum data set comprises an operating frequency of the air conditioner in the current operating state and a sound pressure level corresponding to the operating frequency;
sending the plurality of spectrum data sets to an air conditioner cloud end, performing matching analysis on each spectrum data set through the air conditioner cloud end, and outputting an analysis result;
and judging whether the air conditioner operation system is abnormal or not based on the analysis result and prompting a user.
According to the air conditioner fault detection method provided by the invention, the step of acquiring a plurality of frequency spectrum data sets of the air conditioner in the running state comprises the following steps:
collecting outdoor temperature, indoor temperature and user setting data under different conditions of an air conditioner in an operating state;
a plurality of spectrum data sets are acquired based on the outdoor temperature, the indoor temperature and the user setting data under different conditions.
According to the air conditioner fault detection method provided by the invention, each frequency spectrum data group is subjected to matching analysis through an air conditioner cloud, and an analysis result is output, and the method comprises the following steps:
matching and analyzing each frequency spectrum data set with a preset standard frequency spectrum set through an air conditioner cloud;
selecting a target frequency spectrum group from a plurality of frequency spectrum data groups, and acquiring a reference frequency spectrum group corresponding to the outdoor temperature, the indoor temperature and user setting data of the target frequency spectrum group from the standard frequency spectrum group;
and acquiring difference data between the sound pressure level of the corresponding operating frequency of the target frequency spectrum group and the sound pressure level of the corresponding operating frequency of the reference frequency spectrum group, and outputting the difference data as an analysis result.
According to the air conditioner fault detection method provided by the invention, whether an air conditioner operation system is abnormal or not is judged based on the analysis result, and a user is prompted, and the method comprises the following steps:
matching the operating frequency of the target frequency spectrum group with a preset abnormity judgment data group, and carrying out abnormity judgment on an air conditioner operating system based on the difference data;
and confirming that the difference data is larger than a first target preset threshold value or confirming that the difference data is smaller than a second target preset threshold value, confirming that the air conditioner operation system is abnormal and prompting a user, so that the user confirms that the fan module or the press module of the air conditioner operation system is abnormal based on the operation frequency.
According to the air conditioner fault detection method provided by the invention, after the operation frequency of the target frequency spectrum group is matched with a preset abnormity judgment data group and an abnormity judgment is carried out on an air conditioner operation system based on the difference data, the method further comprises the following steps:
and under the condition that the difference data is smaller than or equal to a first target preset threshold and the difference data is larger than or equal to a second target preset threshold, confirming that the air conditioner operation system is normal.
The present invention also provides an air conditioner fault detection apparatus, including:
the acquisition unit is used for acquiring a plurality of frequency spectrum data sets of the air conditioner in an operating state; the frequency spectrum data set comprises an operating frequency of the air conditioner in the current operating state and a sound pressure level corresponding to the operating frequency;
the matching unit is used for sending the plurality of spectrum data sets to an air conditioner cloud end, performing matching analysis on each spectrum data set through the air conditioner cloud end, and outputting an analysis result;
and the judging unit is used for judging whether the air conditioner running system has abnormity or not based on the analysis result and prompting a user.
The invention also provides an air conditioner, which comprises an indoor unit, an outdoor unit, a processor and a memory, wherein the processor and the memory are arranged in the indoor unit or the outdoor unit; the air conditioner fault detection device further comprises a program or an instruction which is stored on the memory and can run on the processor, and the program or the instruction is executed by the processor to execute any one of the air conditioner fault detection methods.
The invention also provides an electronic device, which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein when the processor executes the program, the air conditioner fault detection method is realized according to any one of the above methods.
The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements any of the air conditioner fault detection methods described above.
The present invention also provides a computer program product comprising a computer program, which when executed by a processor, implements any of the above-described air conditioner fault detection methods.
According to the air conditioner fault detection method and device, the air conditioner and the electronic equipment, the plurality of spectrum data sets of the air conditioner in the running state are obtained, the spectrum data sets comprise the running frequency of the air conditioner in the current running state and the sound pressure level corresponding to the running frequency, then the plurality of spectrum data sets are sent to the air conditioner cloud end, and the matching analysis is carried out on each spectrum data set through the air conditioner cloud end, so that whether the running system of the air conditioner is abnormal or not is judged, and a user is prompted. According to the invention, the running frequency and the sound pressure level of the air conditioner are processed and analyzed through the air conditioner cloud, so that the fault information of the air conditioner can be more accurately detected, and a user can be prompted in time, thereby improving the efficiency of air conditioner fault detection.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of an air conditioner fault detection method provided by the present invention;
FIG. 2 is a second schematic flow chart of the air conditioner fault detection method provided by the present invention;
FIG. 3 is a schematic structural diagram of an air conditioner fault detection device provided by the present invention;
fig. 4 is a schematic structural diagram of an electronic device provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
The air conditioner fault detection method, device, air conditioner and electronic equipment of the present invention are described below with reference to fig. 1 to 4.
It should be noted that the air conditioner according to the embodiment of the present invention may be a wall-mounted air conditioner, a cabinet air conditioner, a ceiling air conditioner, or the like, and the type of the air conditioner is not limited herein.
The execution main body of the air conditioner fault detection method in the embodiment of the present invention may be a controller, and of course, in some embodiments, the execution main body of the air conditioner fault detection method in the embodiment of the present invention may also be a server, where the execution main body is not limited. The following describes an air conditioner fault detection method according to an embodiment of the present invention, taking an execution subject as an example.
Referring to fig. 1, the air conditioner fault detection method provided by the invention comprises the following steps:
step 110, acquiring a plurality of frequency spectrum data sets of the air conditioner in an operating state; the frequency spectrum data set comprises the operating frequency of the air conditioner in the current operating state and the sound pressure level corresponding to the operating frequency.
Specifically, in the present embodiment, in order to indicate the frequency and intensity (i.e. the sound pressure level corresponding to the frequency) of the air-conditioning operation, the spectrum data set of the air-conditioning at different indoor temperatures, outdoor temperatures and air-conditioning user set temperatures is obtained in the air-conditioning operation state.
It should be noted that the sound pressure level is a characteristic of the human ear responding to the change of the sound intensity, and a pair number is introduced to represent the sound intensity as the sound intensity level, and according to the research, the square of the sound pressure is proportional to the sound intensity, so the sound intensity level can be converted into the sound pressure level.
The sound pressure level in this embodiment is the characteristic of the sound intensity of the air conditioner operation that can be heard by human ears, and the operating states of the compressor module and the fan module of the air conditioner are represented by the sound pressure levels at different operating frequencies.
And step 120, sending the plurality of spectrum data sets to an air conditioner cloud, performing matching analysis on each spectrum data set through the air conditioner cloud, and outputting an analysis result.
Specifically, the air conditioner high in the clouds in this embodiment can be for being used for the long-range internet that carries out the cloud computing, carries out the analysis to a plurality of spectral data sets that acquire through high in the clouds data, corresponds indoor temperature, outdoor temperature and the air conditioner user that every spectral data set up the temperature respectively one by one with high in the clouds data, reachs the difference between the standard data of sound pressure level and high in the clouds under the actual running state under different running condition and exports as analysis result.
And step 130, judging whether the air conditioner operation system is abnormal or not based on the analysis result and prompting a user.
Specifically, in this embodiment, it is determined whether an operating system of the air conditioner is abnormal according to a difference between a sound pressure level in an actual operating state and standard data of a cloud end under different frequencies of operation of the air conditioner, so that a user further determines whether the fan module and the press module are abnormal, if so, a prompt is timely given to the user, and if so, the operating state is maintained to continue to operate.
It should be noted that, in this embodiment, when an abnormality occurs in the compressor module and the fan module of the air conditioner, that is, when the air conditioner fails, the abnormality may be directly displayed on a screen of an indoor unit of the air conditioner, a warning signal is sent by a fault lamp to prompt a user, a fault code may also be generated and sent to a user side, and the user side may perform cloud feedback on the fault code to a maintenance worker to perform fault inspection.
It should be further noted that, in order to make the maintenance personnel clearly know where the fault is, the fault of the press module and the fault of the fan module may be set as different fault codes, for example, the code of the fault of the press module is F1, and the code of the fault of the fan is F2.
According to the air conditioner fault detection method provided by the embodiment of the invention, a plurality of frequency spectrum data sets of the air conditioner in the running state are obtained, the frequency spectrum data sets comprise the running frequency of the air conditioner in the current running state and the sound pressure level corresponding to the running frequency, then the frequency spectrum data sets are sent to the air conditioner cloud end, and the matching analysis is carried out on each frequency spectrum data set through the air conditioner cloud end, so that whether the running system of the air conditioner is abnormal or not is judged, and a user is prompted. According to the invention, the running frequency and the sound pressure level of the air conditioner are processed and analyzed through the air conditioner cloud, so that the fault information of the air conditioner can be more accurately detected, and a user can be prompted in time, thereby improving the efficiency of air conditioner fault detection.
Based on the above embodiment, the acquiring multiple spectrum data sets of the air conditioner in the operating state includes:
collecting outdoor temperature, indoor temperature and user setting data of the air conditioner under different conditions in an operating state;
a plurality of spectrum data sets are acquired based on outdoor temperature, indoor temperature, and user setting data under different conditions.
Specifically, the present embodiment is a process for acquiring a plurality of spectrum data sets. In order to ensure the accuracy of the air conditioner fault detection, the acquisition of the frequency spectrum data sets needs to be performed on a plurality of different operating states, namely different outdoor temperatures, indoor temperatures and user setting data. For example, sets of spectrum data B1, B2, B3 are set, which are Ty1, ty2, ty3, respectively, at outdoor temperatures; the indoor temperatures ty1, ty2, ty3; the user setting data are Vy1, vy2 and Vy3 respectively; the operating frequencies are H1, H2, H3 respectively and the corresponding sound pressure levels are Hy1, hy2, hy3 respectively.
Reference is made to tables 1 and 2 below:
table 1:
| data set | Outdoor temperature | Indoor temperature | Air conditioner user settings | Spectral data |
| 1 | Ty1 | ty1 | Vy1 | B 1 |
| 2 | Ty2 | ty2 | Vy2 | B 2 |
| 3 | Ty3 | ty3 | Vy3 | B 3 |
Table 2:
| spectral data | Frequency of | Sound pressure level |
| B1 | H1，H2，H3… | Hy1，Hy2，Hy3… |
| B2 | H1，H2，H3… | Hy1，Hy2，Hy3… |
| … | … | … |
The operating frequency and the sound pressure level of the condition that different outdoor temperatures, indoor temperatures and users set up data are collected and obtained in the embodiment, and multiple groups of universal data are obtained, so that the data matched with the outdoor temperatures and the indoor temperatures can be found in the cloud data, the difference value of the cloud data is obtained, the accuracy of air conditioner fault detection is guaranteed, and the efficiency of data matching is improved.
Referring to fig. 2, based on the above embodiment, the performing matching analysis on each spectrum data set through the air conditioner cloud, and outputting an analysis result includes:
and step 210, performing matching analysis on each frequency spectrum data group and a preset standard frequency spectrum group through an air conditioner cloud.
Step 220, selecting a target frequency spectrum group from a plurality of frequency spectrum data groups, and acquiring a reference frequency spectrum group corresponding to the outdoor temperature, the indoor temperature and the user setting data of the target frequency spectrum group from the standard frequency spectrum group;
step 230, obtaining difference data between the sound pressure level of the corresponding operating frequency of the target frequency spectrum group and the sound pressure level of the corresponding operating frequency of the reference frequency spectrum group, and outputting the difference data as an analysis result.
Specifically, the present embodiment provides a detailed process for matching a spectrum data set by an air conditioner cloud. Firstly, matching analysis is carried out on each acquired spectrum data group and a standard spectrum data group preset in the cloud, namely B1, B2 and B3 find data groups C1, C2 and C3 matched with the spectrum data groups in the cloud data. Reference is made to tables 3 and 4 below:
table 3:
| data set | Outdoor temperature | Indoor temperature | Air conditioner user settings | Spectral data |
| 1 | Tz1 | tz1 | Vz1 | C 1 |
| 2 | Tz2 | tz2 | Vz2 | C 2 |
| 3 | Tz3 | tz3 | Vz3 | C 3 |
Table 4:
| spectral data | Frequency of | Sound pressure level |
| C1 | H1，H2，H3… | Hz1，Hz2，Hz3… |
| C2 | H1，H2，H3… | Hz1，Hz2，Hz3… |
| C3 | H1，H2，H3… | Hz1，Hz2，Hz3… |
Then, taking B1 as a target spectrum data set, and finding a standard spectrum data set C1 corresponding to Ty1= Tz1, and Vy1= Vz1 as a reference spectrum data set according to Ty1, and Vy1 corresponding to B1, so as to obtain the sound pressure level of C1. That is, the standard data of the sound pressure level of the cloud data under the outdoor temperature, the indoor temperature, and the user setting data of B1 are found.
Then, a difference X in sound pressure level between the reference spectrum data group C1 and the target spectrum data group B1 is calculated, and the difference X is output as an analysis result to perform failure analysis of the air conditioner.
Reference is made to table 5 below:
| frequency of | B1 | C1 | X |
| 1hz | Hy1 | Hz1 | X 1＝Hy1-Hz1 |
| 2hz | Hy2 | Hz2 | X 2＝Hy2-Hz2 |
| … | … | … | … |
The data in the air conditioner cloud end is matched with the frequency spectrum data set in the air conditioner actual operation state, standard data of sound pressure levels of the cloud end data under different outdoor temperatures, indoor temperatures and user setting data in the actual operation state can be acquired, and therefore the difference value between the calculated standard data and the actual sound pressure levels is used for fault analysis, the accuracy of fault analysis is guaranteed, and the efficiency of fault detection is improved.
Based on the above embodiment, the determining whether the air conditioner operation system is abnormal and prompting the user based on the analysis result includes:
matching the operating frequency of the target frequency spectrum group with a preset abnormity judgment data group, and carrying out abnormity judgment on an air conditioner operating system based on the difference data;
when the difference data is determined to be larger than a first target preset threshold value or the difference data is determined to be smaller than a second target preset threshold value, confirming that the air conditioner operation system is abnormal and prompting a user, so that the user confirms that the fan module or the press module of the air conditioner operation system is abnormal based on the operation frequency;
and under the condition that the difference data is smaller than or equal to a first target preset threshold and the difference data is larger than or equal to a second target preset threshold, confirming that the air conditioner operation system is normal.
Specifically, the above embodiment provides a detailed process for performing fault judgment of the compressor module and the fan module according to the difference X of the sound pressure levels between the reference spectrum data group C1 and the target spectrum data group B1 at different operating frequencies.
The first preset range of the air conditioner running frequency is set to be 1hz-50hz and is mainly used for judging whether the compressor module is abnormal or not; the second preset range is set to be greater than or equal to 50hz and is mainly used for judging whether the fan module is abnormal or not. The first target preset threshold is set to 10DB and the second target preset threshold is set to-10 DB.
According to the difference value X, the preset range and the preset threshold, the following situations can be divided:
when the operating frequency is 1-50hz, if X is more than 10DB or X is less than-10 DB, judging that the press module is abnormal;
when the running frequency is 1-50hz, if X is more than 10DB and less than 10DB, the pressing machine module is judged to be normal;
when the operating frequency is more than 50hz, if X is more than 10DB or X is less than-10 DB, judging that the fan module is abnormal;
when the running frequency is more than 50hz, if 10DB < X < 10DB, the fan module is judged to be normal.
Specifically, the following table 6 shows:
the embodiment judges the fault through the sound pressure level difference value under different operating frequencies, so that the fault detection is more accurately carried out on the press module and the fan module of the air conditioner, different fault detection results are obtained corresponding to different operating frequencies and different difference values, and the efficiency and the accuracy of the fault detection are improved.
The following describes the air conditioner fault detection apparatus provided by the present invention, and the air conditioner fault detection apparatus described below and the air conditioner fault detection method described above may be referred to in correspondence with each other.
Referring to fig. 3, the air conditioner fault detection apparatus provided by the present invention includes:
an obtaining unit 310, configured to obtain a plurality of spectrum data sets of the air conditioner in an operating state; the frequency spectrum data set comprises an operating frequency of the air conditioner in the current operating state and a sound pressure level corresponding to the operating frequency;
the matching unit 320 is configured to send the plurality of spectrum data sets to an air conditioner cloud, perform matching analysis on each spectrum data set through the air conditioner cloud, and output an analysis result;
and a determination unit 330 for determining whether there is an abnormality in the air conditioner operation system based on the analysis result and prompting a user.
According to the air conditioner fault detection device provided by the embodiment of the invention, a plurality of frequency spectrum data sets of the air conditioner in the running state are obtained, the frequency spectrum data sets comprise the running frequency of the air conditioner in the current running state and the sound pressure level corresponding to the running frequency, then the frequency spectrum data sets are sent to the air conditioner cloud end, and the matching analysis is carried out on each frequency spectrum data set through the air conditioner cloud end, so that whether the running system of the air conditioner is abnormal or not is judged, and a user is prompted. According to the invention, the running frequency and the sound pressure level of the air conditioner are processed and analyzed through the air conditioner cloud, so that the fault information of the air conditioner can be more accurately detected, and a user can be prompted in time, thereby improving the efficiency of air conditioner fault detection.
Based on the above embodiment, the obtaining unit is specifically configured to:
collecting outdoor temperature, indoor temperature and user setting data of the air conditioner under different conditions in an operating state;
a plurality of spectrum data sets are acquired based on the outdoor temperature, the indoor temperature and the user setting data under different conditions.
Based on the above embodiment, the matching unit is specifically configured to:
matching and analyzing each frequency spectrum data set with a preset standard frequency spectrum set through an air conditioner cloud;
selecting a target frequency spectrum group from a plurality of frequency spectrum data groups, and acquiring a reference frequency spectrum group corresponding to the outdoor temperature, the indoor temperature and user setting data of the target frequency spectrum group from the standard frequency spectrum group;
and acquiring difference data between the sound pressure level of the corresponding operating frequency of the target frequency spectrum group and the sound pressure level of the corresponding operating frequency of the reference frequency spectrum group, and outputting the difference data as an analysis result.
Based on the above embodiments, the determination unit is specifically configured to:
matching the operating frequency of the target frequency spectrum group with a preset abnormity judgment data group, and carrying out abnormity judgment on an air conditioner operating system based on the difference data;
and when the difference data is determined to be larger than a first target preset threshold value or the difference data is determined to be smaller than a second target preset threshold value, confirming that the air conditioner operation system is abnormal and prompting a user, so that the user confirms that a fan module or a press module of the air conditioner operation system is abnormal based on the operation frequency. Based on the above embodiments, the determination unit is specifically configured to:
and under the condition that the difference data is smaller than or equal to a first target preset threshold and the difference data is larger than or equal to a second target preset threshold, confirming that the air conditioner operation system is normal.
The embodiment of the invention also provides an air conditioner, which comprises an indoor unit, an outdoor unit, a processor and a memory, wherein the processor and the memory are arranged in the indoor unit or the outdoor unit; also included are programs or instructions stored on the memory and executable on the processor, which when executed by the processor perform the air conditioning fault detection methods described above. The method comprises the following steps:
acquiring a plurality of frequency spectrum data groups of an air conditioner in an operating state; the frequency spectrum data set comprises an operating frequency of the air conditioner in the current operating state and a sound pressure level corresponding to the operating frequency;
sending the plurality of spectrum data sets to an air conditioner cloud end, performing matching analysis on each spectrum data set through the air conditioner cloud end, and outputting an analysis result;
and judging whether the air conditioner running system is abnormal or not based on the analysis result and prompting a user.
Fig. 4 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 4: a processor (processor) 410, a communication Interface 420, a memory (memory) 430 and a communication bus 440, wherein the processor 410, the communication Interface 420 and the memory 430 are communicated with each other via the communication bus 440. Processor 410 may invoke logic instructions in memory 430 to perform a method of air conditioner fault detection, the method comprising:
acquiring a plurality of frequency spectrum data groups of an air conditioner in an operating state; the frequency spectrum data set comprises an operating frequency of the air conditioner in the current operating state and a sound pressure level corresponding to the operating frequency;
sending the plurality of spectrum data sets to an air conditioner cloud end, performing matching analysis on each spectrum data set through the air conditioner cloud end, and outputting an analysis result;
and judging whether the air conditioner operation system is abnormal or not based on the analysis result and prompting a user.
In addition, the logic instructions in the memory 430 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk, and various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product, the computer program product including a computer program, the computer program being stored on a non-transitory computer readable storage medium, wherein when the computer program is executed by a processor, a computer is capable of executing the air conditioner fault detection method provided by the above methods, the method including:
acquiring a plurality of frequency spectrum data sets of an air conditioner in an operating state; the frequency spectrum data set comprises an operating frequency of the air conditioner in the current operating state and a sound pressure level corresponding to the operating frequency;
sending the plurality of spectrum data sets to an air conditioner cloud end, performing matching analysis on each spectrum data set through the air conditioner cloud end, and outputting an analysis result;
and judging whether the air conditioner running system is abnormal or not based on the analysis result and prompting a user.
In still another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, the computer program being implemented by a processor to perform the air conditioner fault detection method provided by the above methods, the method including:
acquiring a plurality of frequency spectrum data groups of an air conditioner in an operating state; the frequency spectrum data set comprises an operating frequency of the air conditioner in the current operating state and a sound pressure level corresponding to the operating frequency;
sending the plurality of spectrum data sets to an air conditioner cloud end, performing matching analysis on each spectrum data set through the air conditioner cloud end, and outputting an analysis result;
and judging whether the air conditioner operation system is abnormal or not based on the analysis result and prompting a user.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will 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; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. An air conditioner fault detection method is characterized by comprising the following steps:
acquiring a plurality of frequency spectrum data groups of an air conditioner in an operating state; the frequency spectrum data set comprises an operating frequency of the air conditioner in the current operating state and a sound pressure level corresponding to the operating frequency;
sending the plurality of spectrum data sets to an air conditioner cloud end, performing matching analysis on each spectrum data set through the air conditioner cloud end, and outputting an analysis result;
and judging whether the air conditioner operation system is abnormal or not based on the analysis result and prompting a user.
2. The method for detecting the air conditioner fault according to claim 1, wherein the obtaining a plurality of frequency spectrum data sets of the air conditioner in the operating state comprises:
collecting outdoor temperature, indoor temperature and user setting data of the air conditioner under different conditions in an operating state;
a plurality of spectrum data sets are acquired based on outdoor temperature, indoor temperature, and user setting data under different conditions.
3. The method for detecting air conditioner faults as claimed in claim 2, wherein the performing matching analysis on each spectrum data set through an air conditioner cloud and outputting an analysis result comprises:
matching and analyzing each frequency spectrum data group and a preset standard frequency spectrum group through an air conditioner cloud;
selecting a target frequency spectrum group from a plurality of frequency spectrum data groups, and acquiring a reference frequency spectrum group corresponding to the outdoor temperature, the indoor temperature and user setting data of the target frequency spectrum group from the standard frequency spectrum group;
and acquiring difference data between the sound pressure level of the corresponding operating frequency of the target frequency spectrum group and the sound pressure level of the corresponding operating frequency of the reference frequency spectrum group, and outputting the difference data as an analysis result.
4. The method for detecting the air conditioner fault according to claim 3, wherein the determining whether the air conditioner operation system has the abnormality or not and prompting a user based on the analysis result comprises:
matching the operating frequency of the target frequency spectrum group with a preset abnormity judgment data group, and carrying out abnormity judgment on an air conditioner operating system based on the difference data;
and confirming that the difference data is larger than a first target preset threshold value or confirming that the difference data is smaller than a second target preset threshold value, confirming that the air conditioner operation system is abnormal and prompting a user, so that the user confirms that the fan module or the press module of the air conditioner operation system is abnormal based on the operation frequency.
5. The method as claimed in claim 4, wherein after matching the operating frequency of the target spectrum group with a preset abnormality determination data group and performing an abnormality determination on an air-conditioning operating system based on the difference data, the method further comprises:
and under the condition that the difference data is smaller than or equal to a first target preset threshold and the difference data is larger than or equal to a second target preset threshold, confirming that the air conditioner operation system is normal.
6. An air conditioner fault detection device, comprising:
the acquisition unit is used for acquiring a plurality of frequency spectrum data sets of the air conditioner in an operating state; the frequency spectrum data set comprises an operating frequency of the air conditioner in the current operating state and a sound pressure level corresponding to the operating frequency;
the matching unit is used for sending the plurality of spectrum data sets to an air conditioner cloud end, performing matching analysis on each spectrum data set through the air conditioner cloud end, and outputting an analysis result;
and the judging unit is used for judging whether the air conditioner running system is abnormal or not based on the analysis result and prompting a user.
7. An air conditioner is characterized by comprising an indoor unit, an outdoor unit, and a processor and a memory which are arranged in the indoor unit or the outdoor unit; further comprising a program or instructions stored on the memory and executable on the processor, the program or instructions when executed by the processor performing the air conditioner fault detection method of any of claims 1 to 5.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the air conditioner fault detection method according to any one of claims 1 to 5 when executing the program.
9. A non-transitory computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the air conditioner fault detection method according to any one of claims 1 to 5.
10. A computer program product comprising a computer program, wherein the computer program, when executed by a processor, implements the air conditioner fault detection method according to any one of claims 1 to 5.
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| CN202210731506.4A CN115264748A (en) | 2022-06-24 | 2022-06-24 | Air conditioner fault detection method and device, air conditioner and electronic equipment |
| PCT/CN2023/075656 WO2023246122A1 (en) | 2022-06-24 | 2023-02-13 | Air conditioner fault detection method and apparatus, and air conditioner and electronic device |
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| CN202210731506.4A CN115264748A (en) | 2022-06-24 | 2022-06-24 | Air conditioner fault detection method and device, air conditioner and electronic equipment |
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Cited By (1)
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| WO2023246122A1 (en) * | 2022-06-24 | 2023-12-28 | 青岛海尔空调器有限总公司 | Air conditioner fault detection method and apparatus, and air conditioner and electronic device |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| JP6235827B2 (en) * | 2013-08-12 | 2017-11-22 | アズビル株式会社 | Air conditioning control apparatus and method |
| CN111504364B (en) * | 2014-02-21 | 2023-03-17 | 特莱丽思环球有限合伙公司 | Method for predicting a fault in an air-conditioning pack of an aircraft |
| CN109323364B (en) * | 2018-09-30 | 2022-02-25 | 广东美的制冷设备有限公司 | Air conditioning system and fault detection method of heat exchanger thereof |
| CN110440392A (en) * | 2019-08-09 | 2019-11-12 | 芜湖美智空调设备有限公司 | Detection method, system and the air-conditioning of air-conditioning |
| CN110986244B (en) * | 2019-11-04 | 2021-07-13 | 珠海格力电器股份有限公司 | Air conditioner pipeline detection method and device, storage medium, terminal and air conditioner |
| CN110906498B (en) * | 2019-11-21 | 2021-09-14 | 珠海格力电器股份有限公司 | Noise control method, noise control device, electronic device and storage medium |
| CN114396705B (en) * | 2021-12-20 | 2023-05-30 | 珠海格力电器股份有限公司 | Air conditioner fault detection method and device, electronic equipment and medium |
| CN114593498A (en) * | 2021-12-21 | 2022-06-07 | 深圳市英维克信息技术有限公司 | Air conditioner abnormity detection method, detection terminal, electronic equipment and storage medium |
| CN114413409A (en) * | 2022-01-05 | 2022-04-29 | 青岛海尔智能技术研发有限公司 | Detection method and device for air conditioner fault probability and intelligent air conditioner |
| CN115264748A (en) * | 2022-06-24 | 2022-11-01 | 青岛海尔空调器有限总公司 | Air conditioner fault detection method and device, air conditioner and electronic equipment |
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| WO2023246122A1 (en) * | 2022-06-24 | 2023-12-28 | 青岛海尔空调器有限总公司 | Air conditioner fault detection method and apparatus, and air conditioner and electronic device |
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