CN114396705B - Air conditioner fault detection method and device, electronic equipment and medium - Google Patents
Air conditioner fault detection method and device, electronic equipment and medium Download PDFInfo
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- CN114396705B CN114396705B CN202111563563.8A CN202111563563A CN114396705B CN 114396705 B CN114396705 B CN 114396705B CN 202111563563 A CN202111563563 A CN 202111563563A CN 114396705 B CN114396705 B CN 114396705B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/32—Responding to malfunctions or emergencies
- F24F11/38—Failure diagnosis
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/52—Indication arrangements, e.g. displays
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
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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
- F24F11/62—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
- F24F11/65—Electronic processing for selecting an operating mode
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
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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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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
Abstract
The disclosure relates to the technical field of air conditioner fault processing, and provides an air conditioner fault detection method, an air conditioner fault detection device, electronic equipment and a medium. The method comprises the following steps: when the detection period is in, obtaining a contrast key parameter corresponding to the current running mode determined in the last acquisition period; performing deviation comparison on the acquired real-time operation parameters and the comparison key parameters to obtain a deviation comparison result; and when the comparison result shows abnormality, sending abnormality information representing the comparison result to the target equipment. The embodiment of the disclosure obtains the contrast key parameters corresponding to the current operation mode determined by the last acquisition period and compares the contrast key parameters with the real-time operation parameters. New comparison key parameters can be continuously determined, so that the fault cause of the air conditioner can be found more rapidly and accurately, and the fault detection efficiency of the air conditioner is greatly improved.
Description
Technical Field
The disclosure relates to the technical field of air conditioner fault processing, and in particular relates to an air conditioner fault detection method, an air conditioner fault detection device, electronic equipment and a medium.
Background
With the increasing development of economy, the use rate of air conditioners is rapidly increasing. In the prior art, the detection of the air conditioner is generally based on fixed data for analysis and comparison, and various parameters of the air conditioner can be changed due to the change of the service life of the air conditioner, so that the detection result is inaccurate, and the failure cause of the air conditioner cannot be accurately predicted.
Disclosure of Invention
In view of the above, embodiments of the present disclosure provide a method, an apparatus, an electronic device, and a medium for detecting an air conditioner fault, so as to solve the problem in the prior art that, due to the change of the service life of the air conditioner, various parameters of the air conditioner will also change, resulting in inaccurate detection results.
In a first aspect of an embodiment of the present disclosure, there is provided an air conditioner fault detection method, including: when the detection period is in, obtaining a contrast key parameter corresponding to the current running mode determined in the last acquisition period; performing deviation comparison on the acquired real-time operation parameters and the comparison key parameters to obtain a deviation comparison result; and when the comparison result shows abnormality, sending abnormality information representing the comparison result to the target equipment.
In a second aspect of the embodiments of the present disclosure, there is provided an air conditioner fault detection device, including: the acquisition module is configured to acquire contrast key parameters corresponding to the current running mode determined in the last acquisition period when the detection period is in the detection period; the comparison module is configured to perform deviation comparison on the acquired real-time operation parameters and the comparison key parameters to obtain deviation comparison results; and the sending module is configured to send the abnormal information representing the comparison result to the target equipment when the comparison result represents the abnormality.
In a third aspect of the disclosed embodiments, an electronic device is provided, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the above method when executing the computer program.
In a fourth aspect of the disclosed embodiments, a computer-readable storage medium is provided, which stores a computer program which, when executed by a processor, implements the steps of the above-described method.
Advantageous effects
Compared with the prior art, the beneficial effects of the embodiment of the disclosure at least comprise: and comparing the comparison key parameters corresponding to the current operation mode with the real-time operation parameters by acquiring the comparison key parameters corresponding to the current operation mode determined in the last acquisition period. New comparison key parameters can be continuously determined, so that the fault cause of the air conditioner can be found more rapidly and accurately, and the fault detection efficiency of the air conditioner is greatly improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings that are required for the embodiments or the description of the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings may be obtained according to these drawings without inventive effort for a person of ordinary skill in the art.
Fig. 1 is a schematic diagram of one application scenario of an air conditioner fault detection method provided according to an embodiment of the present disclosure;
FIG. 2 is a flow chart of some embodiments of an air conditioner fault detection method provided in accordance with an embodiment of the present disclosure;
FIG. 3 is a flow chart of further embodiments of another air conditioner fault detection method provided in accordance with an embodiment of the present disclosure;
fig. 4 is a schematic structural view of an air conditioner fault detection device provided according to an embodiment of the present disclosure;
fig. 5 is a schematic diagram of an electronic device provided according to an embodiment of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.
It should be further noted that, for convenience of description, only a portion relevant to the present disclosure is shown in the drawings. Embodiments of the present disclosure and features of embodiments may be combined with each other without conflict.
It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a schematic diagram of one application scenario of an air conditioner fault detection method according to some embodiments of the present disclosure.
In the application scenario of fig. 1, first, when in the detection period, the computing device 101 may acquire the contrast key parameter 102 corresponding to the current operation mode determined in the previous acquisition period. Second, the computing device 101 may perform deviation comparison between the acquired real-time operation parameter 103 and the comparison key parameter 102, to obtain a deviation comparison result 104. Finally, when the comparison result 104 represents an anomaly, the computing device 101 may send anomaly information 105 characterizing the comparison result to a target device.
The computing device 101 may be hardware or software. When the computing device is hardware, the computing device may be implemented as a distributed cluster formed by a plurality of servers or terminal devices, or may be implemented as a single server or a single terminal device. When the computing device is embodied as software, it may be installed in the hardware devices listed above. It may be implemented as a plurality of software or software modules, for example, for providing distributed services, or as a single software or software module. The present invention is not particularly limited herein.
It should be understood that the number of computing devices in fig. 1 is merely illustrative. There may be any number of computing devices, as desired for an implementation.
With continued reference to fig. 2, a flow 200 of some embodiments of an air conditioner fault detection method according to the present disclosure is shown. The method may be performed by the computing device 101 in fig. 1. The air conditioner fault detection method comprises the following steps:
In some embodiments, the execution body of the air conditioner fault detection method (such as the computing device 101 shown in fig. 1) may connect to the target device through a wireless connection, and then, when the detection period is in, obtain the comparison key parameter corresponding to the current operation mode determined in the previous acquisition period.
It should be noted that the wireless connection may include, but is not limited to, 3G/4G connections, wiFi connections, bluetooth connections, wiMAX connections, zigbee connections, UWB (ultra wideband) connections, and other now known or later developed wireless connection means.
When the air conditioner is operated, the operation period can comprise two operation periods: a detection period and a collection period. The detection period may refer to an operation period for detecting a real-time state of the air conditioner. When the air conditioner is in the detection period, the real-time operation parameters can be acquired periodically or aperiodically and are compared with the comparison key parameters, so that the operation condition of the air conditioner is detected. As an example, the real-time operating parameters of the air conditioner may be detected every 1 minute while in the detection period. The collection period may refer to an operation period for collecting various data indexes in the operation of the air conditioner. When the air conditioner is in the acquisition period, a plurality of operation parameters of the air conditioner can be acquired periodically or irregularly and used for subsequent calculation, and finally, the comparison key parameters updated in the operation period are obtained. The two can alternately run, namely, after the detection period is finished, the collection period is obtained; and after the collection period is finished, the detection period is obtained.
In some alternative implementations of some embodiments, the detection period is the same duration as the collection period.
In some alternative implementations of some embodiments, the duration of the collection period may range from 2 days to 4 days. If the duration is less than 2 days, insufficient data is collected, which may result in inaccurate and representative values. If the time is longer than 4 days, the collection period is longer, which may result in a long collection period, and failure cannot be detected in time.
The comparison key parameter may refer to a related parameter for judging the state of the air conditioner. The air conditioner may include an air supply mode, a heating mode, a cooling mode, and the like. The contrast key parameters of the air supply mode may include fan current data. The comparison key parameters of the heating mode may include fan current data and heating motor current data. The comparative key parameters of the cooling mode may include fan current data, compressor current data, and at least one bulb data. The comparison parameters in the different modes may also include other relevant parameters, which are set according to the needs, and are not particularly limited herein. In addition, the above parameters are all data commonly used by those skilled in the art, and are not described herein.
And 202, performing deviation comparison on the acquired real-time operation parameters and the comparison key parameters to obtain a deviation comparison result.
In some embodiments, the executing body may perform deviation comparison between the obtained real-time operation parameter and the comparison key parameter, so as to obtain a deviation comparison result.
The real-time operation parameter may refer to a related parameter of the air conditioner in the current operation mode. Deviation comparison may refer to comparing a real-time operating parameter to a comparison key parameter and comparing the deviation of the two. The result obtained by performing the deviation comparison may be the above deviation comparison result. The bias comparison result may include the real-time operating parameter and comparison result information. As an example, when the air conditioner is in the cooling mode, the fan current data in the current operation state is abnormal, the compressor current data is normal, and at least one temperature sensing bulb data is normal, the deviation comparison result may be: "the current data of the fan is normal, the temperature sensing packet data is normal, the fan current data is abnormal, and the abnormal fan current data is 0.5A". The deviation comparison result can also correspond to different results according to parameters of different conditions. As an example, when the fan current data in the current running state is normal, the compressor current data is normal, and at least one temperature sensing packet data is normal, the deviation comparison result may be: "each item of data is normal". As another example, the fan current data in the current running state is normal, the compressor current data is abnormal, at least one temperature sensing bulb data is normal, and the deviation comparison result may be: "compressor current data is abnormal, please overhaul the compressor. As still another example, the deviation comparison result may also be a result of any combination of numerals, letters, symbols, or kanji, as long as the deviation comparison result may represent a normal or abnormal, and the correspondence information of the abnormality may be shown. The setting is made as needed, and is not particularly limited herein.
And 203, when the comparison result represents abnormality, sending abnormality information representing the comparison result to the target equipment.
In some embodiments, the executing entity may send, when the comparison result indicates an anomaly, anomaly information characterizing the comparison result to the target device. When the comparison result indicates abnormality, indicating that a certain parameter of the current air conditioner has a problem, and possibly a fault, abnormality information corresponding to the parameter corresponding to the abnormality result may be transmitted to the target device. The target device may be a device that receives the abnormal information, such as a mobile phone, a PC, a mobile computer, or a special device, and is not particularly limited herein.
The beneficial effects of one of the above embodiments of the present disclosure include at least: and comparing the comparison key parameters corresponding to the current operation mode with the real-time operation parameters by acquiring the comparison key parameters corresponding to the current operation mode determined in the last acquisition period. New comparison key parameters can be continuously determined, so that the fault cause of the air conditioner can be found more rapidly and accurately, and the fault detection efficiency of the air conditioner is greatly improved.
With continued reference to fig. 3, a flow 300 of further embodiments of an air conditioner fault detection method according to the present disclosure is shown, which may be performed by the computing device 101 of fig. 1. The air conditioner fault detection method comprises the following steps:
In some embodiments, the executing entity may obtain the deviation of the real-time operation parameter based on the comparison key parameter. The degree of deviation may refer to the percentage data of the real-time operating parameter based on the data deviation from the critical parameter. As an example, if the real-time operation parameter is 0.9 and the contrast key parameter is 1.0, the deviation may be |0.9-1.0|/1.0=0.1, i.e., the deviation is 0.1.
And 303, when the real-time operation parameters and the deviation degree which are continuously obtained in the preset time period are not smaller than a preset second deviation degree threshold value, the deviation comparison result is expressed as abnormal.
In some embodiments, the deviation comparison result is represented as abnormal when the real-time operation parameter and the deviation degree continuously obtained in the preset time period are not smaller than a preset second deviation degree threshold value.
In some optional implementations of some embodiments, the preset duration may range from 1 to 3 minutes. If the time is less than 1 minute, it may be due to momentary disturbance, and then the recovery will be self-evident, and this situation need not be judged as a malfunction. If the time is higher than 3 minutes, the unit may be in a larger fault due to too long a fault time.
And step 304, when the comparison result shows abnormality, sending abnormality information representing the comparison result to the target equipment.
In step 305, when the start of the acquisition period is detected, a plurality of acquisition operation parameters corresponding to different times in the current operation mode are acquired.
In some embodiments, when the start of the acquisition period is detected, the executing body may acquire a plurality of acquisition operation parameters corresponding to different times in the current operation mode.
In some optional implementations of some embodiments, the acquisition time intervals of adjacent acquisition operating parameters in the plurality of acquisition operating parameters are the same.
And 306, terminating the operation parameters corresponding to the collection operation modes when the number of the collection operation parameters corresponding to one operation mode is not smaller than a preset collection index.
In some embodiments, when the number of the collected operation parameters corresponding to one of the operation modes is not smaller than a preset collection index, the executing body terminates the operation parameters corresponding to the collected operation mode. The preset acquisition index can be 30-70 groups. When it is less than 30 sets, the accuracy may be low due to insufficient sampling, and when it is more than 70 sets, the calculation amount may be too high, resulting in low efficiency. Preferably, the acquisition index may be 50 sets of data. It should be noted that the collection index may also be other data, such as 10 groups, 100 groups, 888 groups, etc., and according to different air-conditioning models, different application scenarios, such as central air-conditioning of office supplies, home hanging machine, vertical air-conditioning of shops, etc., may take different sampling data, and be set according to the needs, which is not limited herein.
In some embodiments, the executing body may acquire metadata with the same data identifier in each collected operation parameter, so as to obtain at least one metadata set, where the data identifiers of the collected operation parameters corresponding to each different operation mode are different. Because the number of the contrast key parameters, namely the data composition, is different in each mode, the data identifications of the data structures in each mode are different. The data identifier may refer to identification information corresponding to each data. As an example, the comparison key parameters of the cooling mode may be ("cooling-fan: 1 amp", "cooling-compressor: 1.5 amp", "cooling-first bulb: 0.5 amp", "cooling-nth bulb: 0.3 amp"), and the data identifications of the comparison key parameters are respectively "cooling-fan", "cooling-compressor", "cooling-first bulb", "cooling-nth bulb", "and the data identifications may be also single or combination of numbers, english letters, symbols, hanzi and the like, and may be set as needed. And forming a set by the data with the same data identification, namely obtaining at least one metadata set.
In some embodiments, the execution body may obtain a median of each metadata set, resulting in at least one target median.
In some embodiments, the execution body may obtain, based on at least one target median, a target update parameter corresponding to each operation mode and having the same structure as the comparison key parameter.
And step 310, comparing the target updating parameters corresponding to each operation mode with the corresponding comparison key parameters to obtain an updating comparison result.
In some embodiments, the executing body may compare the target update parameter corresponding to each operation mode with the corresponding comparison key parameter to obtain an update comparison result through the following steps: the first step, the execution subject may acquire a deviation degree of each target update parameter based on the corresponding contrast key parameter; the second step, when the deviation degree is smaller than a preset first deviation degree threshold value, the execution body may represent the deviation comparison result as normal; third, when the deviation is not less than the first deviation threshold, the execution body may represent the deviation comparison result as abnormal.
And 311, when the updated comparison result indicates normal, determining the target updated parameter as the corresponding comparison key parameter.
In some embodiments, when the updated comparison result indicates normal, the execution entity may determine the target update parameter as the corresponding comparison key parameter.
In step 312, when the updated comparison result indicates that the comparison result is abnormal, the comparison key parameter is maintained unchanged.
In some embodiments, the execution body may maintain the contrast key parameter unchanged when the updated contrast result indicates abnormality.
The beneficial effects of one of the above embodiments of the present disclosure include at least: and acquiring the contrast key parameters corresponding to the current operation mode determined in the previous acquisition period, and comparing the contrast key parameters with the real-time operation parameters. New comparison key parameters can be continuously determined, so that the fault cause of the air conditioner can be found more rapidly and accurately, and the fault detection efficiency of the air conditioner is greatly improved.
In some embodiments, the specific implementation of steps 301 and 304 and the technical effects thereof may refer to steps 201 and 203 in those embodiments corresponding to fig. 2, which are not described herein.
Any combination of the above optional solutions may be adopted to form an optional embodiment of the present application, which is not described herein in detail.
The following are device embodiments of the present disclosure that may be used to perform method embodiments of the present disclosure. For details not disclosed in the embodiments of the apparatus of the present disclosure, please refer to the embodiments of the method of the present disclosure.
With further reference to fig. 4, as an implementation of the methods described above for the various figures, the present disclosure provides some embodiments of an air conditioner fault detection device that correspond to those described above for fig. 2.
As shown in fig. 4, the air conditioner failure detection apparatus 400 of some embodiments includes:
the acquiring module 401 of the air conditioner fault detection device is configured to acquire, when the air conditioner fault detection device is in a detection period, a comparison key parameter corresponding to a current operation mode determined in a previous acquisition period.
The comparison module 402 of the air conditioner fault detection device is configured to perform deviation comparison on the acquired real-time operation parameters and the comparison key parameters, so as to obtain a deviation comparison result.
The sending module 403 of the air conditioner fault detection device is configured to send, when the comparison result indicates an abnormality, abnormality information characterizing the comparison result to the target device.
In some optional implementations of some embodiments, the air conditioner fault detection apparatus further includes: and the acquisition module is configured to acquire a plurality of acquisition operation parameters corresponding to different times in the current operation mode when the start of the acquisition period is detected. The processing module is configured to process the plurality of acquired operation parameters corresponding to each operation mode to obtain target update parameters corresponding to each operation mode. And the comparison module is configured to compare each target updating parameter with the corresponding comparison key parameter to obtain an updating comparison result. And the determining module is configured to determine the target updating parameters as corresponding contrast key parameters when the updating contrast results indicate normal. And the maintaining module is configured to maintain the contrast key parameters unchanged when the updated contrast result indicates abnormal.
In some alternative implementations of some embodiments, after collecting the plurality of collected operating parameters for the current operating mode corresponding to different times, the method includes: and when the number of the acquisition operation parameters corresponding to one of the operation modes is not smaller than a preset acquisition index, terminating the operation parameters corresponding to the acquisition operation mode.
In some optional implementations of some embodiments, processing the plurality of collected operation parameters corresponding to each operation mode to obtain a target update parameter corresponding to each operation mode includes: acquiring metadata with the same data identifier in each acquisition operation parameter to obtain at least one metadata set, wherein the data identifiers of the acquisition operation parameters corresponding to different operation modes are different; acquiring the median of each metadata set to obtain at least one target median; and obtaining a target updating parameter corresponding to each operation mode based on at least one target median.
In some optional implementations of some embodiments, comparing each target update parameter with a corresponding comparison key parameter to obtain an update comparison result includes: acquiring the deviation degree of each target updating parameter based on the corresponding contrast key parameter; when the deviation degree is smaller than a preset first deviation degree threshold value, the deviation comparison result is indicated as normal; and when the deviation degree is not smaller than the first deviation degree threshold value, the deviation comparison result is expressed as abnormal.
In some optional implementations of some embodiments, performing bias comparison on the obtained real-time operating parameter and the comparison key parameter to obtain a bias comparison result, including: acquiring the deviation degree of the real-time operation parameters based on the comparison key parameters; and when the real-time operation parameters and the deviation degree which are continuously obtained in the preset time period are not smaller than a preset second deviation degree threshold value, the deviation comparison result is expressed as abnormal.
In some alternative implementations of some embodiments, the mode of operation includes, but is not limited to, one of: an air supply mode, a heating mode and a cooling mode; the contrast key parameters of the air supply mode comprise fan current data; the key comparison parameters of the heating mode comprise fan current data and heating motor current data; the comparative key parameters of the cooling mode include fan current data, compressor current data, and at least one bulb data.
It will be appreciated that the modules described in the apparatus 400 correspond to the various steps in the method described with reference to fig. 2. Thus, the operations, features and advantages described above with respect to the method are equally applicable to the apparatus 400 and the modules contained therein, and are not described in detail herein.
As shown in fig. 5, the electronic device 500 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 501, which may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 502 or a program loaded from a storage means 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the electronic apparatus 500 are also stored. The processing device 501, the ROM 502, and the RAM 503 are connected to each other via a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
In general, the following devices may be connected to the I/O interface 505: input devices 506 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 507 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 508 including, for example, magnetic tape, hard disk, etc.; and communication means 509. The communication means 509 may allow the electronic device 500 to communicate with other devices wirelessly or by wire to exchange data. While fig. 5 shows an electronic device 500 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead. Each block shown in fig. 5 may represent one device or a plurality of devices as needed.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via the communications device 509, or from the storage device 508, or from the ROM 502. The above-described functions defined in the methods of some embodiments of the present disclosure are performed when the computer program is executed by the processing device 501.
It should be noted that, in some embodiments of the present disclosure, the computer readable medium may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, the computer-readable signal medium may comprise a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
In some implementations, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText Transfer Protocol ), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the internet (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed networks.
The computer readable medium may be embodied in the apparatus; or may exist alone without being incorporated into the electronic device. The computer readable medium carries one or more programs, and when the one or more programs are executed by the electronic equipment, the electronic equipment obtains the contrast key parameters corresponding to the current running mode determined in the last acquisition period when the electronic equipment is in the detection period; performing deviation comparison on the acquired real-time operation parameters and the comparison key parameters to obtain deviation comparison results; and when the comparison result shows abnormality, sending abnormality information representing the comparison result to target equipment.
Computer program code for carrying out operations for some embodiments of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in some embodiments of the present disclosure may be implemented in software or in hardware. The described modules may also be provided in a processor, for example, as: the device comprises an acquisition module, a comparison module and a sending module. The acquiring module may also be described as "a module for acquiring the contrast key parameter corresponding to the current operation mode determined in the previous acquisition period".
The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.
The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above technical features, but encompasses other technical features formed by any combination of the above technical features or their equivalents without departing from the spirit of the invention. Such as the above-described features, are mutually substituted with (but not limited to) the features having similar functions disclosed in the embodiments of the present disclosure.
Claims (8)
1. An air conditioner fault detection method, comprising:
when the detection period is in, obtaining a contrast key parameter corresponding to the current operation mode determined in the last acquisition period, wherein the detection period and the acquisition period are operated alternately;
performing deviation comparison on the acquired real-time operation parameters and the comparison key parameters to obtain deviation comparison results;
when the comparison result shows abnormality, sending abnormality information representing the comparison result to target equipment;
the method further comprises the steps of:
when the start of the acquisition period is detected, acquiring a plurality of acquisition operation parameters of different times corresponding to the current operation mode;
processing a plurality of acquired operation parameters corresponding to each operation mode to obtain target update parameters corresponding to each operation mode;
comparing each target updating parameter with the corresponding comparison key parameter to obtain an updating comparison result;
when the updating comparison result indicates normal, determining the target updating parameter as a corresponding comparison key parameter;
when the updated comparison result shows that the comparison result is abnormal, maintaining the comparison key parameters unchanged;
processing the plurality of collected operation parameters corresponding to each operation mode to obtain target update parameters corresponding to each operation mode, including:
acquiring metadata with the same data identifier in each acquisition operation parameter to obtain at least one metadata set, wherein the data identifiers of the acquisition operation parameters corresponding to different operation modes are different;
acquiring the median of each metadata set to obtain at least one target median;
and obtaining a target updating parameter corresponding to each operation mode based on the at least one target median.
2. The method for detecting an air conditioner fault according to claim 1, wherein after the collecting the plurality of collected operation parameters of the current operation mode corresponding to different times, the method comprises:
and when the number of the collected operation parameters corresponding to one of the operation modes is not smaller than a preset collection index, terminating collecting the operation parameters corresponding to the operation modes.
3. The method for detecting an air conditioner fault according to claim 1, wherein comparing each target update parameter with a corresponding comparison key parameter to obtain an update comparison result comprises:
acquiring the deviation degree of each target updating parameter based on the corresponding contrast key parameter;
when the deviation degree is smaller than a preset first deviation degree threshold value, the deviation comparison result is indicated as normal;
and when the deviation degree is not smaller than the first deviation degree threshold value, the deviation comparison result is expressed as abnormal.
4. The method for detecting an air conditioner fault according to claim 1, wherein the performing deviation comparison between the obtained real-time operation parameter and the comparison key parameter to obtain a deviation comparison result comprises:
acquiring the deviation degree of the real-time operation parameters based on the comparison key parameters;
and when the real-time operation parameters and the deviation degree which are continuously obtained in the preset time period are not smaller than a preset second deviation degree threshold value, the deviation comparison result is expressed as abnormal.
5. An air conditioner fault detection method as claimed in any one of claims 1 to 4 wherein said modes of operation include, but are not limited to, one of: an air supply mode, a heating mode and a cooling mode; wherein, the liquid crystal display device comprises a liquid crystal display device,
the contrast key parameters of the air supply mode comprise fan current data;
the key comparison parameters of the heating mode comprise fan current data and heating motor current data;
the comparative key parameters of the refrigeration mode include fan current data, compressor current data, and at least one bulb data.
6. An air conditioner fault detection device, characterized by comprising:
the acquisition module is configured to acquire contrast key parameters corresponding to the current operation mode determined in the last acquisition period when the detection period is in the detection period, wherein the detection period and the acquisition period are operated alternately;
the comparison module is configured to perform deviation comparison on the acquired real-time operation parameters and the comparison key parameters to obtain deviation comparison results;
a transmission module configured to transmit, when the comparison result indicates an abnormality, abnormality information characterizing the comparison result to a target device;
when the start of the acquisition period is detected, acquiring a plurality of acquisition operation parameters of different times corresponding to the current operation mode;
processing a plurality of acquired operation parameters corresponding to each operation mode to obtain target update parameters corresponding to each operation mode;
comparing each target updating parameter with the corresponding comparison key parameter to obtain an updating comparison result;
when the updating comparison result indicates normal, determining the target updating parameter as a corresponding comparison key parameter;
when the updated comparison result shows that the comparison result is abnormal, maintaining the comparison key parameters unchanged;
processing the plurality of collected operation parameters corresponding to each operation mode to obtain target update parameters corresponding to each operation mode, including:
acquiring metadata with the same data identifier in each acquisition operation parameter to obtain at least one metadata set, wherein the data identifiers of the acquisition operation parameters corresponding to different operation modes are different;
acquiring the median of each metadata set to obtain at least one target median;
and obtaining a target updating parameter corresponding to each operation mode based on the at least one target median.
7. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any one of claims 1 to 5 when the computer program is executed.
8. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to any one of claims 1 to 5.
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| CN114646342B (en) * | 2022-05-19 | 2022-08-02 | 蘑菇物联技术（深圳）有限公司 | Method, apparatus, and medium for locating an anomaly sensor |
| 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 |
| CN115264749A (en) * | 2022-06-29 | 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 |
| CN115264750A (en) * | 2022-06-30 | 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 |
| CN115013936A (en) * | 2022-06-30 | 2022-09-06 | 深圳市英维克信息技术有限公司 | Fault detection method and device for air conditioning equipment and storage medium |
| CN116611819B (en) * | 2023-05-30 | 2023-12-22 | 重庆赛力斯新能源汽车设计院有限公司 | Air conditioner compressor fault prediction method, system, terminal equipment and storage medium |
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