WO2023115877A1 - 基于云端服务器的故障自诊断方法与系统 - Google Patents
基于云端服务器的故障自诊断方法与系统 Download PDFInfo
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- WO2023115877A1 WO2023115877A1 PCT/CN2022/101960 CN2022101960W WO2023115877A1 WO 2023115877 A1 WO2023115877 A1 WO 2023115877A1 CN 2022101960 W CN2022101960 W CN 2022101960W WO 2023115877 A1 WO2023115877 A1 WO 2023115877A1
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- Prior art keywords
- air conditioner
- fault
- cloud server
- user information
- recoverable
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Classifications
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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
- F24F11/37—Resuming operation, e.g. after power outages; Emergency starting
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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
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet communication
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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
- F24F2140/00—Control inputs relating to system states
- F24F2140/10—Pressure
- F24F2140/12—Heat-exchange fluid pressure
Definitions
- the invention relates to the technical field of home appliances, in particular to a fault self-diagnosis method and system based on a cloud server.
- the air conditioner mainly includes various types of air conditioners and fans, among which the air conditioners are more and more widely used due to their better cooling effect and heating effect.
- the air conditioners are more and more widely used due to their better cooling effect and heating effect.
- the air conditioner After the current air conditioner breaks down, the user often needs to find and contact the maintenance service outlet by himself, and the maintenance process is very inconvenient.
- many users who call back will say that the air conditioner is normal, or that the current fault disappears and can be operated. This will increase the workload of the terminal, but it will not be effective. Very few cases. This is because many air conditioner failures are caused by accidental factors at present. Once the accidental factors disappear, the machine will resume normal operation and will not happen again.
- One purpose of the present invention is to screen the effective fault report information of the air conditioner and reduce the burden of the maintenance terminal.
- a further object of the present invention is to improve the intelligence level of air conditioner fault self-diagnosis and reduce false alarm rate.
- the present invention provides a fault self-diagnosis method based on a cloud server, comprising: receiving a fault query request uploaded by an air conditioner, wherein the fault query request is generated according to a fault of the air conditioner and at least includes a fault code; Determine the fault type of the air conditioner, wherein the cloud server pre-stores the fault types corresponding to different fault codes, and the fault types include recoverable faults and unrecoverable faults; determine whether the air conditioner has an unrecoverable fault; and if so, obtain the corresponding fault code of the air conditioner user information, and dispatch maintenance tasks based on user information.
- a restart message is pushed to the user of the air conditioner to prompt the user to power off and restart the air conditioner.
- the step of restarting the air conditioner after the step of restarting the air conditioner, it also includes: obtaining the operating state of the air conditioner; judging whether the recoverable fault is eliminated; and if not, performing the steps of obtaining user information corresponding to the air conditioner and dispatching maintenance tasks according to the user information step.
- an instruction for normal operation is sent to the air conditioner.
- the step of obtaining the user information corresponding to the air conditioner includes: obtaining the machine information of the air conditioner; querying the user information corresponding to the machine information in the information database, wherein the information database has pre-stored user information corresponding to different machine information, and the user The information includes the address where the air conditioner is installed.
- the step of dispatching the maintenance task according to the user information includes: dispatching the maintenance task to a service network at the installation address, so as to notify workers to come to repair the air conditioner.
- the fault self-diagnosis method based on the cloud server further includes: pre-obtaining user information and machine information uploaded by the mobile terminal bound to the air conditioner for storage in the information database.
- the recoverable faults include: the temperature sensor of the air conditioner changes from readable to unreadable, the discharge temperature of the compressor of the air conditioner is higher than the preset temperature threshold, and the internal pressure of the refrigerant circulation system of the air conditioner is higher than the preset pressure threshold .
- the non-recoverable faults include: the temperature sensor has been unable to read since the air conditioner is powered on, the compressor is stopped, the fan of the air conditioner is stopped, and the air deflector of the air conditioner cannot be opened.
- a cloud server-based fault self-diagnosis system wherein the cloud server performs data interaction with the air conditioner, and the cloud server is configured to execute any of the above-mentioned cloud server-based fault self-diagnosis methods .
- the fault self-diagnosis method and system based on the cloud server of the present invention by receiving the fault query request uploaded by the air conditioner, determines the fault type of the air conditioner according to the fault code, and judges whether the air conditioner has an unrecoverable fault, and the result is yes At the same time, obtain the user information corresponding to the air conditioner, and dispatch the maintenance task according to the user information, so as to timely dispatch the maintenance order for the unrecoverable fault of the air conditioner, filter the effective fault report information of the air conditioner, reduce the burden on the maintenance terminal, and avoid the invalidation of the background
- the automatic order dispatching can effectively solve the problems of resource waste and information redundancy.
- the cloud server-based fault self-diagnosis method and system of the present invention in the case of a recoverable fault in the air conditioner, pushes restart information to the user of the air conditioner to prompt the user to power off and restart the air conditioner; and Obtain the running status of the air conditioner after the air conditioner is restarted, and judge whether the recoverable fault is eliminated. If the recoverable fault has not been eliminated, obtain the user information corresponding to the air conditioner, and dispatch maintenance tasks according to the user information.
- sending normal operation instructions to the air conditioner can improve the intelligence of the self-diagnosis of air conditioner faults. It can not only ensure that the recoverable fault can not be eliminated by restarting, it can be dispatched for maintenance in time, but also can ensure that the recoverable fault is eliminated. Afterwards, the air conditioner runs normally, avoiding unnecessary order dispatching, greatly reducing the false alarm rate, and the process of fully automatic diagnosis of fault dispatch orders can also effectively improve the user experience.
- Fig. 1 is a schematic diagram of the architecture of a fault self-diagnosis system based on a cloud server according to an embodiment of the present invention
- Fig. 2 is a schematic diagram of a fault self-diagnosis method based on a cloud server according to an embodiment of the present invention.
- Fig. 3 is a detailed flowchart of a fault self-diagnosis method based on a cloud server according to an embodiment of the present invention.
- FIG. 1 is a schematic diagram of a fault self-diagnosis system based on a cloud server according to an embodiment of the present invention.
- the cloud server-based fault self-diagnosis system may include a cloud server 200, which exchanges data with the air conditioner 100, and the cloud server 200 is configured to execute the cloud server-based fault self-diagnosis method of the following embodiments.
- the air conditioner 100 can perform data interaction with the cloud server 200 through the network.
- the air conditioner 100 can directly connect with the cloud server 200 through a network device such as a wireless module.
- the cloud server-based fault self-diagnosis system may further include a mobile terminal 300 bound to the air conditioner 100 .
- the mobile terminal 300 can perform data interaction with the air conditioner 100 and the cloud server 200 .
- the mobile terminal 300 may include smart phones, tablet computers, and other electronic devices that have certain computing capabilities, provide data transmission interfaces, and have human-computer interaction interfaces.
- the mobile terminal 300 can obtain user information through an application program (Application, APP for short) installed in the smart phone to realize a specific data processing function, and bind the machine information of the air conditioner 100 with the user information .
- Application Application, APP for short
- the cloud server 200 may pre-obtain the user information and machine information uploaded by the mobile terminal 300 bound to the air conditioner 100 for storage in the information database. That is to say, the mobile terminal 300 can send the bound user information and machine information to the cloud server 200, and the cloud server 200 stores it in the information database after receiving it.
- the information database pre-stores user information corresponding to different machine information, and the user information includes the installation address of the air conditioner 100 .
- the cloud server 200 can obtain the machine information of the air conditioner 100, query the user information corresponding to the machine information in the information database, and send a maintenance task to the service network at the installation address to notify Workers come to repair the air conditioner 100.
- automatic order dispatching be realized, which solves the difficulty for users to find and contact maintenance channels, but also can dispatch orders intelligently, so that service outlets near the installation address of the air conditioner 100 can send workers to repair in time, and the whole process requires a lot of manpower and labor. Material resources, improve maintenance efficiency and user experience.
- the machine information may include information such as machine number, machine model, and installation time of the air conditioner 100 .
- the machine information of each air conditioner 100 is unique, so the user information bound to it can be determined by obtaining the machine information of the air conditioner 100, and it will not appear that the same machine information corresponds to different user information. It is possible to determine the status of the user to which the air conditioner 100 that actually failed belongs. But conversely, different machine information can correspond to the same user information. For example, the same user has multiple air conditioners 100 installed at home. No matter which air conditioner 100 fails, the user information of the user can be determined through the machine information. , especially the installation address.
- the cloud server 200 sends a maintenance task to the service network at the installation address of the air-conditioner 100 to notify workers to come to repair the air-conditioner 100 .
- a maintenance task can be dispatched to the nearest service outlet to further ensure maintenance efficiency and save maintenance costs.
- the orders can also be dispatched according to the current maintenance tasks of the service outlets, for example, the orders can be dispatched to the service outlets with the least maintenance tasks in the same area.
- the user information may include not only the installation address of the air conditioner 100, but also the user's contact information, so that workers can communicate with the user before on-site maintenance, and the two parties can agree on the time of on-site maintenance or learn about the latest fault situation.
- the mobile terminal 300 can also record detailed information such as fault repair progress and repair results during the fault maintenance period. Specifically, the maintenance record of the fault can also be realized through the APP installed in the smart phone, so that it can be viewed later.
- the fault self-diagnosis system based on the cloud server of this embodiment, wherein the cloud server 200 can receive the fault query request uploaded by the air conditioner 100, determine the fault type of the air conditioner 100 according to the fault code, and judge whether the air conditioner 100 has an unrecoverable fault , and when the result is yes, obtain the user information corresponding to the air conditioner 100, and dispatch a maintenance task according to the user information, so as to timely perform order maintenance for the non-recoverable fault of the air conditioner 100, and filter effective fault report information of the air conditioner 100, Reduce the burden on maintenance terminals, avoid invalid automatic order dispatching in the background, and effectively solve the problems of resource waste and information redundancy.
- the cloud server 200 can push restart information to the user of the air conditioner 100 to prompt the user to shut down the air conditioner 100.
- the air conditioner 100 After the air conditioner 100 is restarted, obtain the running state of the air conditioner 100, judge whether the recoverable fault is eliminated, and obtain the corresponding user information of the air conditioner 100 if the recoverable fault is not eliminated, and according to the Information dispatch maintenance tasks, when the recoverable fault is eliminated, send the normal operation command to the air conditioner 100, which can improve the intelligence of the air conditioner 100 fault self-diagnosis, and ensure that the recoverable fault can not be eliminated by restarting in time.
- Order maintenance can also ensure the normal operation of the air conditioner 100 after the recoverable fault is eliminated, avoid unnecessary order dispatch, and greatly reduce the rate of false alarms.
- the process of fully automatic fault diagnosis and order dispatch can also effectively improve user experience.
- FIG. 2 is a schematic diagram of a fault self-diagnosis method based on a cloud server according to an embodiment of the present invention, and the fault self-diagnosis method based on a cloud server includes:
- Step S202 receiving the fault inquiry request uploaded by the air conditioner 100;
- Step S204 determining the type of failure of the air conditioner 100 according to the failure code
- Step S206 judging whether the air conditioner 100 has an unrecoverable fault, if so, execute step S208;
- Step S208 acquiring user information corresponding to the air conditioner 100, and dispatching a maintenance task according to the user information.
- step S202 is that the cloud server 200 receives a fault inquiry request uploaded by the air conditioner 100 . After the air conditioner 100 fails, it will send a fault query request to the cloud server 200, and the cloud server 200 receives the fault query request.
- the fault query request in step S202 is generated according to the faults of the air conditioner 100 and includes at least a fault code.
- the cloud server 200 pre-stores fault types corresponding to different fault codes, and the fault types in step S204 include recoverable faults and non-recoverable faults.
- the recoverable fault may include: the temperature sensor of the air conditioner 100 changes from readable to unreadable, the discharge temperature of the compressor of the air conditioner 100 is higher than the preset temperature threshold, the refrigerant of the air conditioner 100 The internal pressure of the circulation system is greater than the preset pressure threshold.
- the air conditioner 100 may include an indoor unit and an outdoor unit, and both the indoor unit and the outdoor unit may be provided with temperature sensors, and the indoor temperature sensor or the outdoor temperature sensor may be readable or unreadable. This situation may be because the vibration of the air conditioner 100 itself causes the indoor temperature sensor or the outdoor temperature sensor to suddenly have no readings. Once the air conditioner 100 stabilizes, the indoor temperature sensor or the outdoor temperature sensor will return to normal readings.
- the discharge temperature of the compressor is higher than the preset temperature threshold, which may be caused by the inhalation of foreign matter, which may cause the discharge temperature to be too high temporarily. For example, the plastic film may be sucked in. When the plastic film falls off, the discharge temperature will return to normal.
- the refrigerant circulation system may generally include a refrigerant pipeline in which refrigerant flows, and the refrigerant pipeline may be provided in series with: a compressor, a four-way valve, a first heat exchanger, a throttling device and a second heat exchanger. heater.
- the first heat exchanger may be installed in the outdoor unit, and the second heat exchanger may be installed in the indoor unit.
- the four-way valve can be configured to: switch the flow direction of the refrigerant. That is, when the air conditioner 100 operates in the cooling mode and the heating mode, the flow direction of the refrigerant can be changed by adjusting the four-way valve.
- the four-way valve When the air conditioner 100 operates in cooling mode, the four-way valve connects the passage from the outlet of the compressor to the inlet of the first heat exchanger, and the passage from the outlet of the second heat exchanger to the inlet of the compressor.
- the four-way valve When the air conditioner 100 is running in the heating mode, the four-way valve connects the passage from the outlet of the compressor to the inlet of the second heat exchanger, and the passage from the outlet of the first heat exchanger to the inlet of the compressor.
- the refrigerant when the air conditioner 100 is operating in cooling mode, the refrigerant is inhaled by the compressor in gaseous form, compressed into high-temperature and high-pressure steam, enters the first heat exchanger, and condenses into a high-temperature and high-pressure liquid that flows to the throttling Then the refrigerant after throttling and depressurization becomes a low-temperature and low-pressure gas-liquid mixture, enters the second heat exchanger, absorbs heat in the air and vaporizes, becomes low-pressure superheated steam and is sucked back by the compressor.
- the refrigerant When the air conditioner 100 is running in the heating mode, the refrigerant is inhaled by the compressor in gaseous form, compressed into high-temperature and high-pressure steam, enters the second heat exchanger, condenses into high-temperature and high-pressure liquid, and flows to the throttling device.
- the refrigerant turns into a low-temperature and low-pressure gas-liquid mixture and enters the first heat exchanger, absorbs the heat in the air and vaporizes, becomes low-pressure superheated steam and is sucked back by the compressor.
- the air conditioner 100 regardless of whether the air conditioner 100 is operating in the cooling mode or the heating mode, there may be situations where the internal pressure of the refrigerant circulation system is greater than the preset pressure threshold, and this may be just a temporary high pressure, which will return to normal after release. In short, some failures of the air conditioner 100 may be caused by accidental factors. Once the accidental factors disappear, the machine will resume normal operation and will not happen again.
- the temperature sensor of the air conditioner 100 mentioned above can be read. The reading, the exhaust temperature of the compressor of the air conditioner 100 is higher than the preset temperature threshold, and the internal pressure of the refrigerant circulation system of the air conditioner 100 is higher than the preset pressure threshold, which can be classified as recoverable faults.
- the non-recoverable faults may include: the temperature sensor has been unable to read since the air conditioner 100 is powered on, the compressor is shut down, the fan of the air conditioner 100 is shut down, and the air deflector of the air conditioner 100 cannot be opened.
- the temperature sensor has been unable to read since the air conditioner 100 was powered on. It is different from the above temperature sensor from readable to unreadable. It is unable to read after the air conditioner 100 is first powered on after the air conditioner 100 is installed, or the air conditioner 100 is used in summer and winter. The idle time between the air conditioners is too long, and readings cannot be made after the power is turned on again.
- the temperature sensor has been unable to read since the air conditioner 100 was powered on, and the temperature sensor includes an indoor temperature sensor and an outdoor temperature sensor, and any such situation is an unrecoverable fault.
- the compressor stops and cannot be started, nor is it a fault that can be eliminated by itself.
- the fan of the air conditioner 100 is shut down, and the fan includes an indoor fan and an outdoor fan, and any one of the shutdowns cannot be eliminated automatically and can resume normal operation.
- the air deflector of the air conditioner 100 cannot be opened, which is also a failure that cannot be eliminated by itself. That is to say, other failures of the air conditioner 100 may be caused by non-accidental factors, and are unlikely to be eliminated by themselves.
- the air conditioner 100 cannot return to normal operation in a short period of time. Unable to read, stop the compressor, stop the fan of the air conditioner 100, and fail to open the wind deflector of the air conditioner 100, these can be classified as non-recoverable faults.
- each specific fault corresponds to a fault code.
- Fault codes can be alphanumeric. For example, recoverable faults can be numbered with the letter A plus numbers, and non-recoverable faults can be numbered with the letter B plus numbers.
- the fault code that the temperature sensor of the air conditioner 100 changes from readable to unreadable may be A1; the fault code that the discharge temperature of the compressor of the air conditioner 100 is higher than the preset temperature threshold may be A2;
- the fault code for the internal pressure of the system being greater than the preset pressure threshold may be A3.
- the fault code that the temperature sensor cannot read all the time since the air conditioner 100 is powered on can be B1; the fault code that the compressor stops can be B2; the fault code that the fan of the air conditioner 100 stops can be B3; The fault code for the wind panel cannot be opened can be B4.
- the cloud server 200 pre-stores fault types corresponding to different fault codes, for example, fault types corresponding to fault codes A1, A2, and A3 are recoverable faults.
- the fault types corresponding to fault codes B1, B2, B3, and B4 are non-recoverable faults. It should be noted that the specific forms of the above fault codes are only examples, rather than limiting the present invention. In some other embodiments, the fault code can also be set in other forms.
- the cloud server 200 receives the fault query request uploaded by the air conditioner 100, determines the fault type of the air conditioner 100 according to the fault code contained in the fault query request, and judges whether an unrecoverable fault occurs in the air conditioner 100, and when the result is yes, obtains The user information corresponding to the air conditioner 100, and dispatch maintenance tasks according to the user information.
- a specific embodiment is introduced as follows: when the compressor of the air conditioner 100 shuts down, it sends a fault query request containing the fault code B2 to the cloud server 200. After receiving the fault query request, the cloud server 200 determines the condition of the air conditioner according to the fault code B2. If an unrecoverable fault occurs on the air conditioner 100, the user information corresponding to the air conditioner 100 is obtained, and a maintenance task is dispatched according to the user information.
- the fault self-diagnosis method based on the cloud server of this embodiment, by receiving the fault query request uploaded by the air conditioner 100, determines the fault type of the air conditioner 100 according to the fault code, judges whether the air conditioner 100 has an unrecoverable fault, and in the result If yes, obtain the user information corresponding to the air conditioner 100, and dispatch maintenance tasks according to the user information, so that the unrecoverable fault of the air conditioner 100 can be dispatched and repaired in time, and the effective fault report information of the air conditioner 100 can be screened to reduce the maintenance terminal. burden, avoid invalid automatic order dispatching in the background, and effectively solve the problems of resource waste and information redundancy.
- FIG. 3 is a detailed flowchart of a fault self-diagnosis method based on a cloud server according to an embodiment of the present invention. As shown in Figure 3, the fault self-diagnosis method based on the cloud server includes:
- Step S302 receiving the fault inquiry request uploaded by the air conditioner 100;
- Step S304 determining the type of failure of the air conditioner 100 according to the failure code
- Step S306 judging whether the air conditioner 100 has an unrecoverable fault, if so, execute step S308, if not, execute step S310;
- Step S308 acquiring user information corresponding to the air conditioner 100, and dispatching maintenance tasks according to the user information;
- Step S310 when a recoverable fault occurs in the air conditioner 100, push restart information to the user of the air conditioner 100 to prompt the user to power off and restart the air conditioner 100;
- Step S312 acquiring the running state of the air conditioner 100
- Step S314 judging whether the recoverable fault is eliminated, if yes, execute step S316, if not, return to execute step S308;
- Step S316 sending an instruction of normal operation to the air conditioner 100 .
- the fault query request in step S302 is generated according to the faults of the air conditioner 100 and at least includes fault codes.
- the cloud server 200 pre-stores fault types corresponding to different fault codes, and the fault types in step S304 include recoverable faults and non-recoverable faults.
- the recoverable fault may include: the temperature sensor of the air conditioner 100 changes from readable to unreadable, the discharge temperature of the compressor of the air conditioner 100 is higher than the preset temperature threshold, the refrigerant of the air conditioner 100 The internal pressure of the circulation system is greater than the preset pressure threshold.
- the non-recoverable faults may include: the temperature sensor has been unable to read since the air conditioner 100 is powered on, the compressor is shut down, the fan of the air conditioner 100 is shut down, and the air deflector of the air conditioner 100 cannot be opened. These faults may be caused by non-accidental factors, and are unlikely to be eliminated by themselves. The air conditioner 100 cannot recover to normal operation in a short period of time, so it can be classified as non-recoverable faults.
- each specific fault corresponds to a fault code.
- Fault codes can be alphanumeric. For example, recoverable faults can be numbered with the letter A plus numbers, and non-recoverable faults can be numbered with the letter B plus numbers.
- the fault code that the temperature sensor of the air conditioner 100 changes from readable to unreadable may be A1; the fault code that the discharge temperature of the compressor of the air conditioner 100 is higher than the preset temperature threshold may be A2;
- the fault code for the internal pressure of the system being greater than the preset pressure threshold may be A3.
- the fault code that the temperature sensor cannot read all the time since the air conditioner 100 is powered on can be B1; the fault code that the compressor stops can be B2; the fault code that the fan of the air conditioner 100 stops can be B3; The fault code for the wind panel cannot be opened can be B4.
- the cloud server 200 pre-stores fault types corresponding to different fault codes, for example, fault types corresponding to fault codes A1, A2, and A3 are recoverable faults.
- the fault types corresponding to fault codes B1, B2, B3, and B4 are non-recoverable faults. It should be noted that the specific forms of the above fault codes are only examples, rather than limiting the present invention. In some other embodiments, the fault code can also be set in other forms.
- step S306 it is determined whether the air conditioner 100 has an unrecoverable fault, and if so, it is determined that an unrecoverable fault has occurred, and step S308 is performed: obtaining user information corresponding to the air conditioner 100, and dispatching a maintenance task according to the user information. If not, step S310 is executed: the air conditioner 100 has a recoverable fault, and a restart message is pushed to the user of the air conditioner 100 to prompt the user to power off and restart the air conditioner 100 . Since there are only two kinds of faults of the air conditioner 100 , recoverable faults and non-recoverable faults, when the result of judging whether an unrecoverable fault occurs in the air conditioner 100 is no, it can be directly determined that a recoverable fault occurs.
- step S310 when a recoverable fault occurs in the air conditioner 100 , a restart message is pushed to the user of the air conditioner 100 to prompt the user to power off and restart the air conditioner 100 .
- information can be pushed to the mobile terminal 300 of the user, and the user is prompted to power off and restart the air conditioner 100 through an app message.
- restart information can also be pushed to the display device of the air conditioner 100, and the display device outputs text, voice, and video information to prompt the user to power off and restart the air conditioner 100.
- an instruction to power off and restart may be directly sent to the air conditioner 100, so that the air conditioner 100 can power off and restart by itself, and the whole process does not require user intervention.
- the outdoor unit is generally indirectly controlled through the indoor unit, and various information and instructions are uploaded and received through the indoor unit. That is to say, an instruction of power off and restart can be sent to the indoor unit, and the outdoor unit can be controlled through the indoor unit, so that both the indoor unit and the outdoor unit can realize power off and restart together.
- the premise of this method is that the indoor unit has no faults, can automatically power off and restart and control the outdoor unit to power off and restart synchronously.
- Step S310 prompts the user to power off and restart the air conditioner 100.
- steps S312 to S316 obtain the operating status of the air conditioner 100, determine whether the recoverable fault is eliminated, and if so, send a normal message to the air conditioner 100. If not, the user information corresponding to the air conditioner 100 is acquired, and a maintenance task is dispatched according to the user information. That is to say, in the case of a recoverable failure of the air conditioner 100 , the air conditioner 100 can be powered off and restarted to try to restore itself to normal. If the recoverable fault of the air conditioner 100 is eliminated after the power failure and restart, an instruction for normal operation is sent to the air conditioner 100, without sending a ticket for door-to-door maintenance. If the recoverable fault is not eliminated after power off and restarting, then the recoverable fault still needs to be repaired by workers, so return to step S308: obtain the user information corresponding to the air conditioner 100, and dispatch the maintenance task according to the user information.
- the air conditioner 100 includes an indoor unit and an outdoor unit.
- the indoor unit indirectly controls the outdoor unit, and uploads and receives various information and instructions through the indoor unit. Therefore, sending the normal operation instruction to the air conditioner 100 in step S316 is actually sending an instruction to the indoor unit. After receiving the normal operation instruction, the indoor unit can keep itself in normal operation and control the outdoor unit to operate normally.
- the step S308 of obtaining user information corresponding to the air conditioner 100 may include: obtaining the machine information of the air conditioner 100; querying the user information corresponding to the machine information in the information database, wherein the information database pre-stores Different machine information corresponds to user information, and the user information includes the installation address of the air conditioner 100 .
- the step of dispatching the maintenance task according to the user information includes: dispatching the maintenance task to a service network at the installation address, so as to notify workers to come to repair the air conditioner 100 .
- the cloud server 200 may pre-acquire user information and machine information uploaded by the mobile terminal 300 bound to the air conditioner 100 to store in the information database.
- the mobile terminal 300 can send the bound user information and machine information to the cloud server 200, and the cloud server 200 stores the information in the information base after receiving it.
- the user information needs to be determined, it is only necessary to obtain the machine information of the air conditioner 100 and query in the information database to match and determine the user information corresponding to the machine information. Since the user information includes the installation address of the air conditioner 100, it can be accurately The specific location of the air conditioner 100 that needs to be repaired is determined.
- the cloud server 200 can send a maintenance task to the service network at the installation address of the air conditioner 100 to notify workers to come to repair the air conditioner 100 .
- automatic order dispatching be realized, which solves the difficulty for users to find and contact maintenance channels, but also can dispatch orders intelligently, so that service outlets near the installation address of the air conditioner 100 can send workers to repair in time, and the whole process requires a lot of manpower and labor. Material resources, improve maintenance efficiency and user experience.
- maintenance tasks can be dispatched to the nearest service outlet to further ensure maintenance efficiency and save maintenance costs.
- the orders can also be dispatched according to the current maintenance tasks of the service outlets, for example, the orders can be dispatched to the service outlets with the least maintenance tasks in the same area.
- the user information may include not only the installation address of the air conditioner 100, but also the user's contact information, so that workers can communicate with the user before on-site maintenance, and the two parties can agree on the time of on-site maintenance or learn about the latest fault situation.
- the mobile terminal 300 can also record detailed information such as fault repair progress and repair results during the fault maintenance period. Specifically, the maintenance record of the fault can also be realized through the APP installed in the smart phone, so that it can be viewed later.
- the machine information may include information such as the machine number, machine model, and installation time of the air conditioner 100 .
- the machine information of each air conditioner 100 is unique, so the user information bound to it can be determined by obtaining the machine information of the air conditioner 100, and it will not appear that the same machine information corresponds to different user information, and the real air conditioner cannot be determined.
- the machine information of the air conditioner 100 includes the following content: KFR-35GW/DY-X (E2), where K represents the air conditioner 100, F represents the split type, R represents dual heating and cooling; 35 represents the cooling capacity of 3500W, which is Larger than 1.5P, G means the indoor unit is a wall-mounted unit, W means the outdoor unit.
- the part in front of the separator / is the national standard, no matter what brand it is, the model must be written according to this, and the part behind the symbol is the manufacturer's custom part of the air conditioner 100.
- D stands for auxiliary electric heating
- Y stands for wireless remote control
- X behind the separator - stands for model appearance series
- E2 stands for level 2 energy efficiency.
- the machine information of the air conditioner 100 also contains unique information to distinguish it from other air conditioners and facilitate the determination of its binding specified user information.
- the machine information can also be directly determined by scanning the two-dimensional code on the housing of the air conditioner 100. The two-dimensional code of each air conditioner 100 is unique to ensure that the machine information is accurately Determine the user information bound to it.
- a specific example of the fault self-diagnosis method based on the cloud server of the present embodiment is introduced as follows: when the fan of the air conditioner 100 shuts down, send a fault query request including fault code B3 to the cloud server 200, and the cloud server 200 receives the fault After querying the request, it is determined according to the fault code B3 that the air conditioner 100 has an unrecoverable fault, the user information corresponding to the air conditioner 100 is obtained, and a maintenance task is dispatched according to the user information.
- Another specific example of the fault self-diagnosis method based on the cloud server of this embodiment is introduced as follows: when the compressor of the air conditioner 100 has a discharge temperature higher than the preset temperature threshold, it sends a message containing the fault code A2 to the cloud server 200. Fault query request, after the cloud server 200 receives the fault query request, it determines that the air conditioner 100 has a recoverable fault according to the fault code A2, and pushes restart information to the user of the air conditioner 100 to prompt the user to power off the air conditioner 100 and restart it. After the air conditioner 100 is powered off and restarted, the operating status of the air conditioner 100 is acquired, it is determined that the recoverable fault has been eliminated, and an instruction for normal operation is sent to the air conditioner 100 .
- the fault self-diagnosis method based on the cloud server of this embodiment, in the case of a recoverable fault in the air conditioner 100, pushes restart information to the user of the air conditioner 100 to prompt the user to power off and restart the air conditioner 100; and After the air conditioner 100 is restarted, obtain the operating status of the air conditioner 100, and determine whether the recoverable fault has been eliminated.
- sending an instruction for normal operation to the air conditioner 100 can improve the intelligence of the fault self-diagnosis of the air conditioner 100.
- the air conditioner 100 operates normally, avoiding unnecessary order dispatching, greatly reducing the false alarm rate, and the process of fully automatic fault diagnosis dispatching order can also effectively improve user experience.
- the fault self-diagnosis method based on the cloud server in this embodiment is to diagnose the fault of the air conditioner 100 .
- a similar fault self-diagnosis method can also be used for fault diagnosis of other home appliances.
- home appliances such as refrigerators and washing machines can be judged on recoverable faults and non-recoverable faults to determine whether to send a repair order directly or try to recover by powering off and restarting. It can also filter out invalid fault reporting information and reduce the burden on the maintenance terminal.
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Abstract
一种基于云端服务器的故障自诊断方法与系统。其中基于云端服务器的故障自诊断方法包括：接收由空调器上传的故障查询请求，其中故障查询请求根据空调器出现的故障生成并至少包含故障代码；根据故障代码确定空调器出现的故障类型，其中云端服务器预先存储有不同的故障代码对应的故障类型，故障类型包括可恢复故障和不可恢复故障；判断空调器是否出现不可恢复故障；以及若是，获取空调器对应的用户信息，并根据用户信息派送维修任务。本发明的方案，能够对空调器的不可恢复故障及时进行派单维修，筛选空调器有效的故障上报信息，减轻维修终端的负担，避免后台无效的自动派单，有效解决资源浪费和信息冗余的问题。
Description
本发明涉及家电技术领域，特别是涉及一种基于云端服务器的故障自诊断方法与系统。
随着社会发展以及人们的生活水平不断提高，各种空气调节装置已经成为人们日常生活中不可或缺的电气设备之一。各种空气调节装置可以在环境温度过高或过低时，帮助人们达到一个能够适应的温度。空调器作
空调调节装置主要包括各种类型的空调器以及风扇，其中由于空调器的制冷效果和制热效果较好，其应用越来越广泛。目前的空调器出现故障后往往需要用户自行查找和联系维修服务网点，维修过程非常不便。并且，在用户当地的维修服务网点进行派单，工人上门维修之前，很多电话回访的用户会表示空调器已正常，或者目前故障消失可以运行，这样会造成终端的工作量负荷加大，但是收效甚微的情况。这是因为目前很多空调器故障是偶然因素造成的，一旦偶然因素消失，则机器恢复正常运转，不会再二次发生，此类故障占比较高但不会引起用户抱怨。总之，现有的空调器故障检测方式往往会导致维修服务工作量负荷非常大，浪费大量的人力物力，并且发现故障到联系维修的整个过程也会影响用户的使用体验。
发明内容
本发明的一个目的是筛选空调器有效的故障上报信息，减轻维修终端的负担。
本发明一个进一步的目的是提高空调器故障自诊断的智能化程度，降低误报率。
特别地，本发明提供了一种基于云端服务器的故障自诊断方法，包括：接收由空调器上传的故障查询请求，其中故障查询请求根据空调器出现的故障生成并至少包含故障代码；根据故障代码确定空调器出现的故障类型，其中云端服务器预先存储有不同的故障代码对应的故障类型，故障类型包括可恢复故障和不可恢复故障；判断空调器是否出现不可恢复故障；以及若是，获取空调器对应的用户信息，并根据用户信息派送维修任务。
可选地，在空调器出现可恢复故障的情况下，向空调器的用户推送重启信息，以提示用户将空调器断电并重新启动。
可选地，在空调器重新启动的步骤之后还包括：获取空调器的运行状态；判断可恢复故障是否消除；以及若否，执行获取空调器对应的用户信息，并根据用户信息派送维修任务的步骤。
可选地，在可恢复故障消除的情况下，向空调器发送正常运行的指令。
可选地，获取空调器对应的用户信息的步骤包括：获取空调器的机器信息；在信息库中查询机器信息对应的用户信息，其中信息库预先存储有不同的机器信息对应的用户信息，用户信息包括空调器的安装地址。
可选地，根据用户信息派送维修任务的步骤包括：向处于安装地址的服务网点派送维修任务，以通知工人上门维修空调器。
可选地，基于云端服务器的故障自诊断方法方法还包括：预先获取与空调器绑定的移动终端上传的用户信息和机器信息，以在信息库中进行存储。
可选地，可恢复故障包括：空调器的温度传感器由可读数到无法读数、空调器的压缩机的排气温度高于预设温度阈值、空调器的冷媒循环系统内部压力大于预设压力阈值。
可选地，不可恢复故障包括：温度传感器自空调器上电后始终无法读数、压缩机停机、空调器的风机停机、空调器的导风板无法打开。
根据本发明的另一个方面，还提供了一种基于云端服务器的故障自诊断系统，其中云端服务器与空调器进行数据交互，且云端服务器配置成执行上述任一种基于云端服务器的故障自诊断方法。
本发明的基于云端服务器的故障自诊断方法与系统，通过接收由空调器上传的故障查询请求，根据故障代码确定空调器出现的故障类型，判断空调器是否出现不可恢复故障，并在结果为是时，获取空调器对应的用户信息，并根据用户信息派送维修任务，能够对空调器的不可恢复故障及时进行派单维修，筛选空调器有效的故障上报信息，减轻维修终端的负担，避免后台无效的自动派单，有效解决资源浪费和信息冗余的问题。
进一步地，本发明的基于云端服务器的故障自诊断方法与系统，在空调器出现可恢复故障的情况下，向空调器的用户推送重启信息，以提示用户将空调器断电并重新启动；并在空调器重新启动之后获取空调器的运行状态，判断可恢复故障是否消除，在可恢复故障没有消除的情况下，获取空调器对 应的用户信息，并根据用户信息派送维修任务，在可恢复故障消除的情况下，向空调器发送正常运行的指令，能够提高空调器故障自诊断的智能化程度，既保证可恢复故障无法通过重启消除时能够及时得到派单维修，又能够保证可恢复故障消除之后空调器正常运行，避免无必要的派单，极大地降低了误报率，全自动诊断故障派单的过程也可以有效提升用户的使用体验。
根据下文结合附图对本发明具体实施例的详细描述，本领域技术人员将会更加明了本发明的上述以及其他目的、优点和特征。
后文将参照附图以示例性而非限制性的方式详细描述本发明的一些具体实施例。附图中相同的附图标记标示了相同或类似的部件或部分。本领域技术人员应该理解，这些附图未必是按比例绘制的。附图中：
图1是根据本发明一个实施例的基于云端服务器的故障自诊断系统的架构示意图；
图2是根据本发明一个实施例的基于云端服务器的故障自诊断方法的示意图；以及
图3是根据本发明一个实施例的基于云端服务器的故障自诊断方法的详细流程图。
现将详细参考本发明的实施例，其一个或多个示例在附图中示出。提供的各个实施例旨在解释本发明，而非限制本发明。事实上，在不脱离本发明的范围或精神的情况下对本发明进行各种修改和变化对于本领域的技术人员来说是显而易见的。例如，图示或描述为一个实施例的一部分的特征可以与另一个实施例一起使用以产生再另外的实施例。因此，本发明旨在涵盖所附权利要求书及其等同物范围内的此类修改和变化。
本实施例首先提供了一种基于云端服务器的故障自诊断系统，能够对空调器的不可恢复故障及时进行派单维修，筛选空调器有效的故障上报信息，减轻维修终端的负担，避免后台无效的自动派单，有效解决资源浪费和信息冗余的问题。图1是根据本发明一个实施例的基于云端服务器的故障自诊断系统的架构示意图。
如图1所示，基于云端服务器的故障自诊断系统可以包括云端服务器 200，其与空调器100进行数据交互，且云端服务器200配置成执行下述实施例的基于云端服务器的故障自诊断方法。空调器100可以通过网络与云端服务器200进行数据交互，在一些具体实施例中，空调器100可以通过无线模块等网络设备与云端服务器200直接进行连接。
在一种优选的实施例中，基于云端服务器的故障自诊断系统还可以包括与空调器100绑定的移动终端300。该移动终端300与空调器100、云端服务器200均可以进行数据交互。移动终端300可以包括智能手机、平板电脑等具备一定运算能力、提供数据传输接口、并具有人机交互借口的电子设备。在一些优选实施例中，移动终端300可以通过安装于智能手机中实现特定数据处理功能的应用程序(Application，简称APP)来获取用户信息，并将空调器100的机器信息与用户信息进行绑定。
此外，云端服务器200可以预先获取与空调器100绑定的移动终端300上传的用户信息和机器信息，以在信息库中进行存储。也就是说，移动终端300可以将绑定的用户信息和机器信息发送至云端服务器200，云端服务器200接收之后在信息库进行存储。其中信息库预先存储有不同的机器信息对应的用户信息，用户信息包括空调器100的安装地址。
这样在有派单维修空调器100故障的时候，云端服务器200可以获取空调器100的机器信息，在信息库中查询机器信息对应的用户信息，向处于安装地址的服务网点派送维修任务，以通知工人上门维修空调器100。不仅可以实现自动派单，解决用户自行查找和联系维修渠道的困难，还可以智能化地进行派单，使空调器100的安装地址附近的服务网点可以及时派出工人上门维修，整个过程大量人力和物力，提升维修效率和用户的使用体验。
在一种具体的实施例中，机器信息可以包括空调器100的机器编号、机器型号和安装时间等信息。需要强调的是，每台空调器100的机器信息是独一无二的，因此可以通过获取空调器100的机器信息确定与其绑定的用户信息，而不会出现相同的机器信息对应不同的用户信息，不能够确定真正出现故障的空调器100所属用户的情况。但是反过来，不同的机器信息可以对应有相同的用户信息，例如同一个用户在家中安装有多台空调器100，不管哪台空调器100出现故障，均可以通过机器信息确定该用户的用户信息，尤其是安装地址。
并且，在确定空调器100出现的故障需要上门维修时，云端服务器200 向处于空调器100安装地址的服务网点派送维修任务，以通知工人上门维修空调器100。空调器100安装地址的所在区域可能设置有多个服务网点，在一种优选的实施例中，可以向距离最近的服务网点派送维修任务，以进一步保证维修效率和节约维修成本。在其他一些实施例中，还可以根据服务网点目前的维修任务进行派单，例如可以向同一个区域中维修任务最少的服务网点派单。
此外，用户信息除了包括空调器100的安装地址之外，还可以包括用户的联系方式，以便工人上门维修之前与用户沟通联系，双方约定上门维修时间或了解故障最新情况等。移动终端300在维修故障期间，还可以对故障的维修进展、维修结果等详细信息进行记录。具体地，也可以通过安装于智能手机中的APP来实现故障的维修记录，以便日后查看。
本实施例的基于云端服务器的故障自诊断系统，其中云端服务器200可以接收由空调器100上传的故障查询请求，根据故障代码确定空调器100出现的故障类型，判断空调器100是否出现不可恢复故障，并在结果为是时，获取空调器100对应的用户信息，并根据用户信息派送维修任务，能够对空调器100的不可恢复故障及时进行派单维修，筛选空调器100有效的故障上报信息，减轻维修终端的负担，避免后台无效的自动派单，有效解决资源浪费和信息冗余的问题。
进一步地，本实施例的基于云端服务器的故障自诊断系统，在空调器100出现可恢复故障的情况下，云端服务器200可以向空调器100的用户推送重启信息，以提示用户将空调器100断电并重新启动；并在空调器100重新启动之后获取空调器100的运行状态，判断可恢复故障是否消除，在可恢复故障没有消除的情况下，获取空调器100对应的用户信息，并根据用户信息派送维修任务，在可恢复故障消除的情况下，向空调器100发送正常运行的指令，能够提高空调器100故障自诊断的智能化程度，既保证可恢复故障无法通过重启消除时能够及时得到派单维修，又能够保证可恢复故障消除之后空调器100正常运行，避免无必要的派单，极大地降低了误报率，全自动诊断故障派单的过程也可以有效提升用户的使用体验。
本发明实施例还提供了一种基于云端服务器的故障自诊断方法，该基于云端服务器的故障自诊断方法可以由以上实施例的基于云端服务器的故障自诊断系统来执行。图2是根据本发明一个实施例的基于云端服务器的故障 自诊断方法的示意图，该基于云端服务器的故障自诊断方法包括：
步骤S202，接收由空调器100上传的故障查询请求；
步骤S204，根据故障代码确定空调器100出现的故障类型；
步骤S206，判断空调器100是否出现不可恢复故障，若是，执行步骤S208；
步骤S208，获取空调器100对应的用户信息，并根据用户信息派送维修任务。
需要说明的是，上述步骤均是由云端服务器200一侧来执行。例如步骤S202是云端服务器200接收由空调器100上传的故障查询请求。空调器100出现故障之后，会向云端服务器200发送故障查询请求，云端服务器200接收该故障查询请求。步骤S202中的故障查询请求根据空调器100出现的故障生成并至少包含故障代码。
云端服务器200预先存储有不同的故障代码对应的故障类型，步骤S204中的故障类型包括可恢复故障和不可恢复故障。在一种具体的实施例中，可恢复故障可以包括：空调器100的温度传感器由可读数到无法读数、空调器100的压缩机的排气温度高于预设温度阈值、空调器100的冷媒循环系统内部压力大于预设压力阈值。
需要说明的是，空调器100可以包括室内机和室外机，且室内机和室外机可以均设置有温度传感器，室内温度传感器或室外温度传感器由可读数到无法读数。这种情况可能是因为空调器100自身的振动导致室内温度传感器或室外温度传感器突然没有读数，一旦空调器100恢复稳定，室内温度传感器或室外温度传感器就会恢复正常读数。压缩机的排气温度高于预设温度阈值，可能是因为吸入异物导致排气温度一时过高，例如可能吸进去塑料膜，当塑料膜掉落之后，排气温度就会恢复正常。
需要说明的是，冷媒循环系统一般可以包括冷媒管路，其内部有冷媒流动，且冷媒管路上可以串联设置有：压缩机、四通阀、第一换热器、节流装置和第二换热器。第一换热器可以设置于室外机中，第二换热器可以设置于室内机中。四通阀可以配置成：切换冷媒的流动方向。即空调器100运行于制冷模式、制热模式的不同情况下，可以通过调节四通阀来改变冷媒的流动方向。空调器100运行于制冷模式时，四通阀连通压缩机出口至第一换热器入口的通路，以及第二换热器出口至压缩机入口的通路。空调器100运行于 制热模式时，四通阀连通压缩机出口至第二换热器入口的通路，以及第一换热器出口至压缩机入口的通路
在一种具体的实施例中，空调器100运行于制冷模式时，冷媒以气态的形式由压缩机吸入，压缩成高温高压的蒸汽进入第一换热器，冷凝为高温高压的液态流向节流装置，然后节流降压后的冷媒变为低温低压的气液混合体进入第二换热器中，吸收空气中的热量而汽化，变为低压过热蒸汽被压缩机吸回。
空调器100运行于制热模式时，冷媒以气态的形式由压缩机吸入，压缩成高温高压的蒸汽进入第二换热器，冷凝为高温高压的液态流向节流装置，节流降压后的冷媒变为低温低压的气液混合体进入第一换热器中，吸收空气中的热量而汽化，变为低压过热蒸汽被压缩机吸回。
因此，不管空调器100运行于制冷模式还是制热模式，都可能会出现冷媒循环系统内部压力大于预设压力阈值的情况，而这可能只是一时压力过高，释放之后就会恢复正常。总之，空调器100有一些故障可能是偶然因素造成的，一旦偶然因素消失，则机器恢复正常运转，不会再二次发生，例如上文提到的空调器100的温度传感器由可读数到无法读数、空调器100的压缩机的排气温度高于预设温度阈值、空调器100的冷媒循环系统内部压力大于预设压力阈值，这种可以归类为可恢复故障。
在一种具体的实施例中，不可恢复故障可以包括：温度传感器自空调器100上电后始终无法读数、压缩机停机、空调器100的风机停机、空调器100的导风板无法打开。温度传感器自空调器100上电后始终无法读数，不同于上文的温度传感器由可读数到无法读数，而是在空调器100安装之后首次上电就无法读数，或者夏天冬天使用空调器100之间的闲置时间过长，重新上电启动之后无法读数，这种不属于温度传感器由正常读数到突然无读数的情况，无法通过空调器100自身稳定而恢复正常。温度传感器自空调器100上电后始终无法读数，其中温度传感器包括室内温度传感器和室外温度传感器，任一个出现这种情况都属于不可恢复故障。
压缩机停机，无法启动，也不属于自行可以消除的故障。空调器100的风机停机，风机包括室内风机和室外风机，任一个出现停机情况也是无法自行消除，恢复正常工作的。空调器100的导风板无法打开，同样是无法自行消除的故障。也就是说，空调器100另一些故障可能是非偶然因素造成的， 不太可能自行消除，空调器100无法短期内自行恢复正常工作，例如上文提到的温度传感器自空调器100上电后始终无法读数、压缩机停机、空调器100的风机停机、空调器100的导风板无法打开，这种可以归类为不可恢复故障。
在一种具体的实施例中，每种具体的故障都对应有一个故障代码。故障代码可以是字母加数字的形式。例如可恢复故障可以以字母A加数字进行编号，不可恢复故障可以以字母B加数字进行编号。例如，空调器100的温度传感器由可读数到无法读数的故障代码可以是A1；空调器100的压缩机的排气温度高于预设温度阈值的故障代码可以是A2；空调器100的冷媒循环系统内部压力大于预设压力阈值的故障代码可以是A3。
再例如，温度传感器自空调器100上电后始终无法读数的故障代码可以是B1；压缩机停机的故障代码可以是B2；空调器100的风机停机的故障代码可以是B3；空调器100的导风板无法打开的故障代码可以是B4。
而云端服务器200预先存储有不同的故障代码对应的故障类型，例如故障代码A1、A2、A3对应的故障类型是可恢复故障。故障代码B1、B2、B3、B4对应的故障类型是不可恢复故障。需要说明的是，上述故障代码的具体形式仅为例举，而并非对本发明的限定。在其他一些实施例中，还可以将故障代码设置为其他形式。
云端服务器200接收由空调器100上传的故障查询请求，根据故障查询请求中包含的故障代码确定空调器100出现的故障类型，判断空调器100是否出现不可恢复故障，并在结果为是时，获取空调器100对应的用户信息，并根据用户信息派送维修任务。
以下对一个具体实施例进行介绍：空调器100的压缩机出现停机的情况，向云端服务器200发送包含故障代码B2的故障查询请求，云端服务器200接收该故障查询请求之后，根据故障代码B2确定空调器100出现不可恢复故障，获取空调器100对应的用户信息，并根据用户信息派送维修任务。
本实施例的基于云端服务器的故障自诊断方法，通过接收由空调器100上传的故障查询请求，根据故障代码确定空调器100出现的故障类型，判断空调器100是否出现不可恢复故障，并在结果为是时，获取空调器100对应的用户信息，并根据用户信息派送维修任务，能够对空调器100的不可恢复故障及时进行派单维修，筛选空调器100有效的故障上报信息，减轻维修终端的负担，避免后台无效的自动派单，有效解决资源浪费和信息冗余的问题。
在一些可选实施例中，可以通过对上述步骤的进一步优化和配置实现更高的技术效果，以下结合对本实施例的一个可选执行流程的介绍对本实施例的基于云端服务器的故障自诊断方法进行详细说明，该实施例仅为对执行流程的举例说明，在具体实施时，可以根据具体实施需求，对部分步骤的执行顺序、运行条件进行修改。图3是根据本发明一个实施例的基于云端服务器的故障自诊断方法的详细流程图。如图3所示，该基于云端服务器的故障自诊断方法包括：
步骤S302，接收由空调器100上传的故障查询请求；
步骤S304，根据故障代码确定空调器100出现的故障类型；
步骤S306，判断空调器100是否出现不可恢复故障，若是，执行步骤S308，若否，执行步骤S310；
步骤S308，获取空调器100对应的用户信息，并根据用户信息派送维修任务；
步骤S310，空调器100出现可恢复故障，向空调器100的用户推送重启信息，以提示用户将空调器100断电并重新启动；
步骤S312，获取空调器100的运行状态；
步骤S314，判断可恢复故障是否消除，若是，执行步骤S316，若否，返回执行步骤S308；
步骤S316，向空调器100发送正常运行的指令。
在以上步骤中，步骤S302中的故障查询请求根据空调器100出现的故障生成并至少包含故障代码。其中云端服务器200预先存储有不同的故障代码对应的故障类型，步骤S304中的故障类型包括可恢复故障和不可恢复故障。
在一种具体的实施例中，可恢复故障可以包括：空调器100的温度传感器由可读数到无法读数、空调器100的压缩机的排气温度高于预设温度阈值、空调器100的冷媒循环系统内部压力大于预设压力阈值。这些故障可能是偶然因素造成的，一旦偶然因素消失，则机器恢复正常运转，不会再二次发生，因此可以归类为可恢复故障。
在一种具体的实施例中，不可恢复故障可以包括：温度传感器自空调器100上电后始终无法读数、压缩机停机、空调器100的风机停机、空调器100的导风板无法打开。这些故障可能是非偶然因素造成的，不太可能自行消除， 空调器100无法短期内自行恢复正常工作，因此可以归类为不可恢复故障。
在一种具体的实施例中，每种具体的故障都对应有一个故障代码。故障代码可以是字母加数字的形式。例如可恢复故障可以以字母A加数字进行编号，不可恢复故障可以以字母B加数字进行编号。例如，空调器100的温度传感器由可读数到无法读数的故障代码可以是A1；空调器100的压缩机的排气温度高于预设温度阈值的故障代码可以是A2；空调器100的冷媒循环系统内部压力大于预设压力阈值的故障代码可以是A3。
再例如，温度传感器自空调器100上电后始终无法读数的故障代码可以是B1；压缩机停机的故障代码可以是B2；空调器100的风机停机的故障代码可以是B3；空调器100的导风板无法打开的故障代码可以是B4。
而云端服务器200预先存储有不同的故障代码对应的故障类型，例如故障代码A1、A2、A3对应的故障类型是可恢复故障。故障代码B1、B2、B3、B4对应的故障类型是不可恢复故障。需要说明的是，上述故障代码的具体形式仅为例举，而并非对本发明的限定。在其他一些实施例中，还可以将故障代码设置为其他形式。
步骤S306中判断空调器100是否出现不可恢复故障，若是，即确定出现不可恢复故障，执行步骤S308：获取空调器100对应的用户信息，并根据用户信息派送维修任务。若否，执行步骤S310：空调器100出现可恢复故障，向空调器100的用户推送重启信息，以提示用户将空调器100断电并重新启动。因为空调器100的故障只有可恢复故障和不可恢复故障两种，因此在判断空调器100是否出现不可恢复故障结果为否时，可以直接确定出现可恢复故障。
步骤S310中空调器100出现可恢复故障，向空调器100的用户推送重启信息，以提示用户将空调器100断电并重新启动。在一种优选的实施例中，可以向用户的移动终端300推送信息，通过app消息提示用户将空调器100断电并重新启动。在其他一些实施例中，还可以向空调器100的显示装置推送重启信息，通过显示装置输出文字或语音、视频信息提示用户将空调器100断电并重新启动。此外，在另一些实施例中，还可以直接向空调器100发送断电并重启的指令，使得空调器100可以自行断电和重启，整个过程无需用户的干预。
需要说明的是，由于空调器100包括室内机和室外机，一般通过室内机 间接控制室外机，并且通过室内机上传和接收各种信息和指令。也就是说，可以向室内机发送断电和重启的指令，并通过室内机控制室外机，使得室内机和室外机二者一起实现断电和重启。但是，这种方式实现的前提是：室内机无故障，可以自动断电重启并控制室外机同步断电重启。
步骤S310提示用户将空调器100断电并重新启动，在空调器100重新启动之后执行步骤S312至S316：获取空调器100的运行状态，判断可恢复故障是否消除，若是，向空调器100发送正常运行的指令，若否，获取空调器100对应的用户信息，并根据用户信息派送维修任务。也就是说，在空调器100出现可恢复故障的情况下，可以通过空调器100断电重启尝试自行恢复正常。如果断电重启之后空调器100的可恢复故障消除，则向空调器100发送正常运行的指令，无需派单上门维修。如果断电重启之后可恢复故障没有自行消除，那么该可恢复故障还是需要工人上门维修，因此返回执行步骤S308：获取空调器100对应的用户信息，并根据用户信息派送维修任务。
正如上文提到的，空调器100包括室内机和室外机，一般通过室内机间接控制室外机，并且通过室内机上传和接收各种信息和指令。因此步骤S316中向空调器100发送正常运行的指令，实际上是向室内机发送指令，室内机接收该正常运行的指令之后可以保持自身正常运行并控制室外机正常运行。
在一种具体的实施例中，步骤S308获取空调器100对应的用户信息的步骤可以包括：获取空调器100的机器信息；在信息库中查询机器信息对应的用户信息，其中信息库预先存储有不同的机器信息对应的用户信息，用户信息包括空调器100的安装地址。根据用户信息派送维修任务的步骤包括：向处于安装地址的服务网点派送维修任务，以通知工人上门维修空调器100。
其中，云端服务器200可以预先获取与空调器100绑定的移动终端300上传的用户信息和机器信息，以在信息库中进行存储。移动终端300可以将绑定的用户信息和机器信息发送至云端服务器200，云端服务器200接收之后在信息库进行存储。在需要确定用户信息时，只需要获取空调器100的机器信息，在信息库中进行查询，就可以匹配确定出机器信息对应的用户信息，由于用户信息包括空调器100的安装地址，因此可以准确确定需要维修的空调器100的具体位置。
然后，云端服务器200可以向处于空调器100安装地址的服务网点派送维修任务，以通知工人上门维修空调器100。不仅可以实现自动派单，解决 用户自行查找和联系维修渠道的困难，还可以智能化地进行派单，使空调器100的安装地址附近的服务网点可以及时派出工人上门维修，整个过程大量人力和物力，提升维修效率和用户的使用体验。
并且，空调器100安装地址的所在区域可能设置有多个服务网点，在一种优选的实施例中，可以向距离最近的服务网点派送维修任务，以进一步保证维修效率和节约维修成本。在其他一些实施例中，还可以根据服务网点目前的维修任务进行派单，例如可以向同一个区域中维修任务最少的服务网点派单。
此外，用户信息除了包括空调器100的安装地址之外，还可以包括用户的联系方式，以便工人上门维修之前与用户沟通联系，双方约定上门维修时间或了解故障最新情况等。移动终端300在维修故障期间，还可以对故障的维修进展、维修结果等详细信息进行记录。具体地，也可以通过安装于智能手机中的APP来实现故障的维修记录，以便日后查看。
需要说明的是，机器信息可以包括空调器100的机器编号、机器型号和安装时间等信息。并且，每台空调器100的机器信息是独一无二的，因此可以通过获取空调器100的机器信息确定与其绑定的用户信息，而不会出现相同的机器信息对应不同的用户信息，不能够确定真正出现故障的空调器100所属用户的情况。但是反过来，不同的机器信息可以对应有相同的用户信息，例如同一个用户在家中安装有多台空调器100，不管哪台空调器100出现故障，均可以通过机器信息确定该用户的用户信息，尤其是安装地址。
例如，若空调器100的机器信息包括以下内容：KFR-35GW/DY-X(E2)，其中K代表空调器100，F代表分体式，R代表冷暖双制；35代表制冷量为3500W，为大1.5P，G代表室内机为壁挂机，W代表室外机。分隔符/前面的部分是国标，不管是什么品牌，必须按照这个来写型号，符号后面的是厂家对空调器100的自定义部分。D代表有辅助电加热，Y代表无线遥控，分隔符-后边的X代表机型外观系列，E2代表2级能效。
更加重要的是，空调器100的机器信息除了包括KFR-35GW/DY-X(E2)之类的常规信息之外，还包含有独一无二的信息，以和其他空调器进行区分，方便确定与其绑定的用户信息。在一种优选的实施例中，还可以通过扫描空调器100壳体上的二维码直接确定机器信息，每一台空调器100的二维码都是独一无二的，以保证通过机器信息准确地确定与其绑定的用户信息。
以下对本实施例的基于云端服务器的故障自诊断方法的一个具体实例进行介绍：空调器100的风机出现停机的情况，向云端服务器200发送包含故障代码B3的故障查询请求，云端服务器200接收该故障查询请求之后，根据故障代码B3确定空调器100出现不可恢复故障，获取空调器100对应的用户信息，并根据用户信息派送维修任务。
以下对本实施例的基于云端服务器的故障自诊断方法的另一个具体实例进行介绍：空调器100的压缩机出现排气温度高于预设温度阈值的情况，向云端服务器200发送包含故障代码A2的故障查询请求，云端服务器200接收该故障查询请求之后，根据故障代码A2确定空调器100出现可恢复故障，向空调器100的用户推送重启信息，以提示用户将空调器100断电并重新启动。在空调器100断电重启之后，获取空调器100的运行状态，判定可恢复故障已消除，向空调器100发送正常运行的指令。
本实施例的基于云端服务器的故障自诊断方法，在空调器100出现可恢复故障的情况下，向空调器100的用户推送重启信息，以提示用户将空调器100断电并重新启动；并在空调器100重新启动之后获取空调器100的运行状态，判断可恢复故障是否消除，在可恢复故障没有消除的情况下，获取空调器100对应的用户信息，并根据用户信息派送维修任务，在可恢复故障消除的情况下，向空调器100发送正常运行的指令，能够提高空调器100故障自诊断的智能化程度，既保证可恢复故障无法通过重启消除时能够及时得到派单维修，又能够保证可恢复故障消除之后空调器100正常运行，避免无必要的派单，极大地降低了误报率，全自动诊断故障派单的过程也可以有效提升用户的使用体验。
并且，本实施例的基于云端服务器的故障自诊断方法是对空调器100的故障进行诊断。在其他一些实施例中，还可以采用类似的故障自诊断方法对其他家电进行故障诊断。例如，可以对冰箱、洗衣机等家电进行可恢复故障和不可恢复故障的判断，以确定是直接派单上门维修还是通过断电重启尝试自行恢复。同样可以起到滤除无效的故障上报信息，减轻维修终端的负担的作用。
至此，本领域技术人员应认识到，虽然本文已详尽示出和描述了本发明的多个示例性实施例，但是，在不脱离本发明精神和范围的情况下，仍可根据本发明公开的内容直接确定或推导出符合本发明原理的许多其他变型或 修改。因此，本发明的范围应被理解和认定为覆盖了所有这些其他变型或修改。
Claims (10)
- 一种基于云端服务器的故障自诊断方法，包括：接收由空调器上传的故障查询请求，其中所述故障查询请求根据所述空调器出现的故障生成并至少包含故障代码；根据所述故障代码确定所述空调器出现的故障类型，其中所述云端服务器预先存储有不同的故障代码对应的故障类型，所述故障类型包括可恢复故障和不可恢复故障；判断所述空调器是否出现所述不可恢复故障；以及若是，获取所述空调器对应的用户信息，并根据所述用户信息派送维修任务。
- 根据权利要求1所述的方法，其中，在所述空调器出现所述可恢复故障的情况下，向所述空调器的用户推送重启信息，以提示所述用户将所述空调器断电并重新启动。
- 根据权利要求2所述的方法，其中在所述空调器重新启动的步骤之后还包括：获取所述空调器的运行状态；判断所述可恢复故障是否消除；以及若否，执行获取所述空调器对应的用户信息，并根据所述用户信息派送维修任务的步骤。
- 根据权利要求3所述的方法，其中，在所述可恢复故障消除的情况下，向所述空调器发送正常运行的指令。
- 根据权利要求1-4中任一项所述的方法，其中获取所述空调器对应的用户信息的步骤包括：获取所述空调器的机器信息；在信息库中查询所述机器信息对应的所述用户信息，其中所述信息库预先存储有不同的机器信息对应的用户信息，所述用户信息包括所述空调器的安装地址。
- 根据权利要求5所述的方法，其中根据所述用户信息派送维修任务的步骤包括：向处于所述安装地址的服务网点派送维修任务，以通知工人上门维修所述空调器。
- 根据权利要求5或6所述的方法，还包括：预先获取与所述空调器绑定的移动终端上传的所述用户信息和所述机器信息，以在所述信息库中进行存储。
- 根据权利要求1-7中任一项所述的方法，其中，所述可恢复故障包括：所述空调器的温度传感器由可读数到无法读数、所述空调器的压缩机的排气温度高于预设温度阈值、所述空调器的冷媒循环系统内部压力大于预设压力阈值。
- 根据权利要求8所述的方法，其中，所述不可恢复故障包括：所述温度传感器自所述空调器上电后始终无法读数、所述压缩机停机、所述空调器的风机停机、所述空调器的导风板无法打开。
- 一种基于云端服务器的故障自诊断系统，其中所述云端服务器与空调器进行数据交互，且所述云端服务器配置成执行权利要求1至9中任一项所述的基于云端服务器的故障自诊断方法。
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