WO2023155701A1 - 空调机组及其远程调试方法和远程调试装置 - Google Patents

空调机组及其远程调试方法和远程调试装置 Download PDF

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Publication number
WO2023155701A1
WO2023155701A1 PCT/CN2023/074645 CN2023074645W WO2023155701A1 WO 2023155701 A1 WO2023155701 A1 WO 2023155701A1 CN 2023074645 W CN2023074645 W CN 2023074645W WO 2023155701 A1 WO2023155701 A1 WO 2023155701A1
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WIPO (PCT)
Prior art keywords
air
data
conditioning unit
unit
outdoor unit
Prior art date
Application number
PCT/CN2023/074645
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English (en)
French (fr)
Inventor
吴孔祥
王萌
王命仁
张宇晟
鄢定旭
何家润
李宏伟
Original Assignee
上海美控智慧建筑有限公司
广东美的暖通设备有限公司
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Priority claimed from CN202210137844.5A external-priority patent/CN114413434B/zh
Priority claimed from CN202210142642.XA external-priority patent/CN114484760A/zh
Application filed by 上海美控智慧建筑有限公司, 广东美的暖通设备有限公司 filed Critical 上海美控智慧建筑有限公司
Priority to EP23755704.6A priority Critical patent/EP4354035A1/en
Publication of WO2023155701A1 publication Critical patent/WO2023155701A1/zh

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Classifications

    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F24F11/49—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring ensuring correct operation, e.g. by trial operation or configuration checks
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F24F11/32—Responding to malfunctions or emergencies
    • F24F11/38—Failure diagnosis
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/52—Indication arrangements, e.g. displays
    • 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
    • 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
    • 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
    • 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
    • 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

Definitions

  • the present disclosure relates to the technical field of air conditioning, and in particular to a remote debugging device for an air conditioning unit, a remote debugging device for an air conditioning unit, an air conditioning unit, and a computer-readable storage medium.
  • the present disclosure aims to solve one of the technical problems in the related art at least to a certain extent. Therefore, the first purpose of this disclosure is to propose a remote debugging method for air-conditioning units, which can effectively monitor the overall process of air-conditioning unit trial operation by collecting key point data of air-conditioning units in different testing stages, reducing Occupation of channel and storage space by invalid data.
  • the second purpose of the present disclosure is to provide a remote debugging device for an air-conditioning unit.
  • a third object of the present disclosure is to propose an air conditioning unit.
  • a fourth object of the present disclosure is to provide a computer-readable storage medium.
  • the embodiment of the first aspect of the present disclosure proposes a remote debugging method for the air conditioning unit, the method includes: determining the detection stage in the trial operation process of the air conditioning unit, wherein the trial operation process of the air conditioning unit includes multiple detection stages, and in Each detection stage has corresponding data acquisition rules; according to the data acquisition rules corresponding to the detection stage Obtain the key point data of each detection stage; at the end of the trial operation process of the air conditioning unit, determine the trial operation result of the air conditioning unit, and upload the data according to the trial operation result, so that the cloud server can remotely control the air conditioning unit according to the uploaded data of the air conditioning unit debugging.
  • the remote debugging method of the air-conditioning unit in the embodiment of the present disclosure, after determining the detection stage in the trial operation of the air-conditioning unit, the key point data of each detection stage is obtained according to the data acquisition rules corresponding to the detection stage, and the air-conditioning unit is tested during the trial operation. At the end of the process, the trial operation result of the air conditioning unit is determined, and the data is uploaded according to the trial operation result, so that the cloud server can remotely debug the air conditioning unit according to the uploaded data of the air conditioning unit. Therefore, the method can effectively monitor the overall process of air-conditioning unit trial operation by collecting key point data of air-conditioning unit operation in different detection stages, and reduce the occupation of channels and storage space by invalid data.
  • the remote debugging method of the air conditioning unit may also have the following additional technical features:
  • a corresponding operation flag is set at each detection stage, wherein determining the detection stage during the trial operation of the air-conditioning unit includes: obtaining the operation flag during the trial operation of the air-conditioning unit; The flag bits determine the corresponding detection phase.
  • uploading data according to the test run results includes: when the test run process of the air conditioning unit is determined to end normally according to the test run results, if the acquisition of key point data satisfies the corresponding data acquisition rules, uploading the test run The running completion flag, test run diagnostic results and key point data are uploaded.
  • uploading data according to the test run results further includes: when the acquisition of key point data does not meet the corresponding data acquisition rules, uploading the test run completion flag, test run diagnostic results and unfinished key point data Get an ID to upload.
  • uploading data according to the test run results includes: when it is determined according to the test run results that the test run process of the air conditioner unit ends abnormally, if it is determined that the air conditioner unit has failed, uploading the fault code, test run status Complete the identification and upload the key point data of the cycle before the fault occurs.
  • uploading data according to the test run result further includes: uploading an unfinished mark of the test run when it is determined that the air conditioner unit has not failed.
  • the data acquisition rule corresponding to each detection stage is associated with the operating state of the air conditioning unit in the detection stage.
  • the air conditioning unit includes a plurality of outdoor units and a networking module corresponding to each outdoor unit
  • the above method further includes: determining the type of the outdoor unit, wherein the type of the outdoor unit includes a main outdoor unit and a slave outdoor unit. Outdoor unit; determine the data upload mechanism according to the type of outdoor unit, so that the global data of the air conditioning unit can be uploaded through the networking module corresponding to the main outdoor unit, and/or, the local data of the air conditioning unit can be uploaded through the networking module corresponding to the slave outdoor unit. upload data.
  • determining the type of the outdoor unit includes: acquiring parameter information of the outdoor unit; and determining the type of the outdoor unit according to the parameter information of the outdoor unit.
  • the global data of the air-conditioning unit includes the operating parameters and identification of each indoor unit in the air-conditioning unit, the operating parameters and identification of each outdoor unit, and the identification of each networked module.
  • the air-conditioning unit The local data includes the identity of the outdoor unit and the identity of the networking module corresponding to the outdoor unit.
  • the period for uploading global data is less than or equal to the period for uploading local data.
  • uploading the local data of the air conditioning unit from the networking module corresponding to the outdoor unit includes: receiving a periodic query instruction from the cloud server; and uploading the local data of the air conditioning unit according to the periodic query instruction.
  • the parameter information of the outdoor unit includes an address code of the outdoor unit, wherein determining the type of the outdoor unit according to the parameter information of the outdoor unit includes: determining the type of the outdoor unit according to the address code of the outdoor unit.
  • the method before determining the type of the outdoor unit, the method further includes: establishing a communication connection between each outdoor unit and a corresponding networking module.
  • the embodiment of the second aspect of the present disclosure proposes a remote debugging device for an air conditioning unit, including: a determination module for determining the detection stage in the trial operation process of the air conditioning unit, wherein the trial operation process of the air conditioning unit includes multiple There are three detection stages, and there are corresponding data acquisition rules in each detection stage; the acquisition module is used to obtain the key point data of each detection stage according to the data acquisition rules corresponding to the detection stage; the upload module is used to test in the air conditioning unit At the end of the operation process, determine the trial operation results of the air conditioning unit, and upload data according to the trial operation results, so that the cloud server can remotely debug the air conditioning unit according to the uploaded data of the air conditioning unit.
  • the determination module determines the detection stage in the trial operation process of the air-conditioning unit, and the acquisition module obtains the key point data of each detection stage according to the data acquisition rules corresponding to the detection stage.
  • the upload module determines the trial operation result of the air conditioning unit, and uploads data according to the trial operation result, so that the cloud server can remotely debug the air conditioning unit according to the uploaded data of the air conditioning unit. Therefore, the device can effectively monitor the overall process of air-conditioning unit trial operation by collecting key point data of air-conditioning unit operation in different detection stages, and reduce the occupation of channels and storage space by invalid data.
  • an air-conditioning unit proposed in the embodiment of the third aspect of the present disclosure includes a memory, a processor, and a remote debugging program of the air-conditioning unit stored in the memory and operable on the processor.
  • the processor executes the program of the air-conditioning unit When remotely debugging the program, the above-mentioned remote debugging method for the air conditioning unit is implemented.
  • the air-conditioning unit in the embodiment of the present disclosure by executing the above-mentioned remote debugging method of the air-conditioning unit, it is possible to effectively monitor the overall process of the trial operation of the air-conditioning unit, and reduce the occupation of channels and storage space by invalid data.
  • the embodiment of the fourth aspect of the present disclosure proposes a computer-readable storage medium, on which is stored a remote debugging program of the air conditioning unit, and when the remote debugging program of the air conditioning unit is executed by a processor, the above-mentioned air conditioning unit can be realized. remote debugging method.
  • the computer-readable storage medium of the embodiment of the present disclosure by executing the above-mentioned remote debugging method of the air-conditioning unit, it is possible to effectively monitor the overall process of the trial operation of the air-conditioning unit, and reduce the occupation of channels and storage space by invalid data.
  • FIG. 1 is a flow chart of a remote debugging method for an air conditioning unit according to an embodiment of the present disclosure
  • Fig. 2 is a coordinate diagram of the running flags of the trial run of the air conditioning unit according to an embodiment of the present disclosure
  • Fig. 3 is a flow chart of air conditioning unit data upload according to an embodiment of the present disclosure
  • FIG. 4 is a schematic block diagram of a remote debugging device for an air conditioning unit according to an embodiment of the present disclosure
  • FIG. 5 is a schematic block diagram of an air conditioning unit according to an embodiment of the present disclosure.
  • Fig. 6 is a flowchart of a method for uploading data of an air conditioning unit according to an embodiment of the present invention.
  • Fig. 1 is a flowchart of a remote debugging method for an air conditioning unit according to an embodiment of the present disclosure.
  • the air conditioner unit may include at least one outdoor unit and a plurality of indoor units connected to each outdoor unit, and a networking module corresponding to the outdoor unit.
  • the networking module is used to obtain After the acquired data is cached, calculated, screened and other related processes are sent to the cloud server, so that the cloud server can remotely debug the air conditioning unit according to the uploaded data.
  • the remote debugging method of the air conditioning unit in the embodiment of the present disclosure may include the following steps:
  • a corresponding operation flag is set at each detection stage, wherein determining the detection stage during the trial operation of the air-conditioning unit includes: obtaining the operation flag during the trial operation of the air-conditioning unit; The flag bits determine the corresponding detection phase.
  • the running flag bits are preset, and different running flag bits correspond to different detection stages.
  • the cloud server remotely debugs the air-conditioning unit, it first needs to conduct a test run on the air-conditioning unit to find out the problems of the air-conditioning unit, and the cloud server issues corresponding debugging instructions for debugging the problems found during the trial run.
  • the trial operation of the air conditioning unit includes multiple operation stages, such as the cold start stage, the stable operation stage, and the exit operation stage. Under different operating conditions, the operating parameters of the air conditioning unit are also quite different. In order to detect different operating states of the air-conditioning unit more accurately, multiple detection stages can be set correspondingly. In order to accurately detect the current detection stage of the air conditioner trial operation, the detection stage entered by the air conditioner unit trial operation can be obtained by detecting the operation flag.
  • the trial operation process of the air conditioning unit can be divided into the following detection stages: preparation detection stage, first detection stage, second detection stage, third detection stage and end detection.
  • the ordinate in the figure is the characteristic parameters of the air conditioning unit trial operation stage
  • the characterization parameters include but not limited to compressor frequency, exhaust temperature, or other unit operating parameters combined with each other
  • the abscissa in the figure is the running time of the air conditioning unit
  • Step0, Step1, Step2, Step3, and Step4 on the abscissa are running flags, which are used to indicate that the trial operation of the air conditioning unit has entered different detection stages.
  • the operation flag Step0 indicates that it enters the stage of preparation for detection, and at this time, the air conditioning unit receives a remote debugging command and starts trial operation.
  • the running flag Step1 indicates that it has entered the first detection stage. At this time, the air-conditioning unit is in the self-inspection state before operation. In this detection stage, it is detected whether the components of the air-conditioning unit can work normally. The data obtained in this detection stage can be used to detect whether the refrigerant system valve body components Whether it can be opened normally, whether there is leakage in the valve body and connecting parts, etc.
  • the operation flag Step2 indicates that the second detection stage is entered. At this time, the start-up of the air-conditioning unit has been completed and entered a relatively stable operation state.
  • the data obtained in this detection stage can be whether the refrigerant charge is Normal, whether there is abnormal noise in the operation of the refrigeration system and compressor, whether the operating parameters of each point inspection are within the allowable range, etc.
  • the running flag Step3 indicates that the third detection stage is entered. At this time, the air-conditioning unit performs refrigerant recovery or frequency reduction operation before the detection is completed. status etc.
  • the operation flag Step4 indicates that the detection is completed, and the trial operation process of the air conditioning unit is completed.
  • sequence of the above detection process is not limited to Step0 ⁇ Step1 ⁇ Step2 ⁇ Step3 ⁇ Step4, and the specific detection sequence can be designed differently according to different manufacturers and different detection modes.
  • the data acquisition rule corresponding to each detection stage is associated with the operating state of the air conditioning unit in the detection stage.
  • the operating states of the air conditioning units in different detection stages are different.
  • the operating data of the air-conditioning unit in the detection stage can be obtained according to certain rules, so that the data obtained in each detection stage can represent the average level of the air-conditioning unit’s operation in the detection stage, and reflect the air-conditioning unit’s performance in the detection stage.
  • the operating status of the stage For example, the data acquisition rule in the second detection stage can be to obtain operation data after a period of stable operation (such as 5-10 minutes) in the second detection stage, or to judge according to the operation status parameters (for example, the operation status parameters tend to be stable), Or acquire data when the fluctuation of the exhaust temperature of the outdoor unit is less than 5°C. Therefore, each detection stage collects data according to corresponding data acquisition rules, which can reduce the collection of invalid data.
  • the key point data of each detection stage should be able to reflect the operating status of the air conditioning unit during the detection stage, so that the cloud server can evaluate the operating status of the air conditioning unit based on the key data points.
  • the key point data can be the full operation data of the indoor and outdoor units in each detection stage, or the key operation data of the air-conditioning units in each detection stage after screening.
  • the key point data can be one or more groups of air-conditioning unit operating data in the detection stage, which can be determined according to the cloud server's demand for data volume and the computing power and cache capacity of the gateway router.
  • the current detection phase when the current detection phase is in Step 2, the amount of refrigerant charged and the parameters characterizing the system operation stability are obtained; for another example, when the current detection phase is in Step 3, the amount of refrigerant recovery and the operating frequency of the air conditioning unit are obtained.
  • the networking module can upload the collected key point data and test run results to the cloud server, so that the cloud server can issue corresponding remote debugging instructions according to the uploaded data to remotely debug the air conditioning unit.
  • uploading data according to the test run results includes: when the test run process of the air conditioning unit is determined to end normally according to the test run results, if the acquisition of key point data satisfies the corresponding data acquisition rules, uploading the test run
  • the running completion flag, test run diagnostic results and key point data are uploaded.
  • the data acquisition rule of key point data is that the quantity of key point data must reach a certain value.
  • uploading data according to the test run results also includes: when the acquisition of key point data does not meet the corresponding data acquisition rules, the test run completion flag, test run diagnosis results and incomplete The key point data acquisition flag is uploaded.
  • the self-contained program of the air conditioning unit can diagnose problems that occur during the trial run, such as the lack of refrigerant in the refrigerant pipe, etc., and generate test run diagnostic results.
  • problems that occur during the trial run such as the lack of refrigerant in the refrigerant pipe, etc.
  • the test run of the air conditioner unit ends normally.
  • the trial run of the air-conditioning unit ends normally, and the number of key point data obtained by the networking module meets the quantity specified in the data acquisition rules, and the trial run completion sign, test run diagnosis results and key point data are uploaded to the cloud server.
  • the trial run of the air-conditioning unit ends normally, but the quantity of key point data acquired does not meet the quantity specified in the data acquisition rules, and the mark of trial run completion, test run diagnosis results and network module incomplete key point data acquisition marks are uploaded. Among them, the field marked with the incomplete key point data acquisition can be empty.
  • uploading data according to the test run results includes: when it is determined according to the test run results that the test run process of the air conditioner unit ends abnormally, if it is determined that the air conditioner unit has failed, uploading the fault code, test run unfinished
  • the identification and the key point data of the cycle before the fault occurs are uploaded.
  • the operation data of the period before the failure occurs is the full operation data of the internal and external units of the air conditioning unit, which can be determined by referring to the computing power of the gateway router, and corresponding trade-offs can be made.
  • the air conditioning unit At a certain point during the trial operation of the air conditioning unit, a failure of the air conditioning unit itself was triggered, such as the exhaust temperature exceeded 100°C, etc., the air conditioning unit immediately stopped the trial operation, and the trial operation of the air conditioning unit ended abnormally.
  • the air-conditioning unit When a fault occurs, the air-conditioning unit generates a fault code according to the fault type, and sends out a fault signal of the air-conditioning unit and a sign that the trial operation is not completed.
  • the networking module uploads the fault code of the air-conditioning unit, the unfinished trial run and the key point data of the cycle before the fault occurs to the cloud server.
  • the trial run incomplete flag may be generated when the gateway router judges that the trial run of the air conditioner unit is not completed according to the fault signal sent by the air conditioner unit, or may be determined by the air conditioner unit itself.
  • uploading data according to the test run result further includes: uploading an unfinished mark of the test run when it is determined that the air conditioner unit has not failed.
  • the networking module only uploads the test run incomplete flag to the cloud server to indicate that the air conditioner unit has not completed the test run, and the air conditioner unit needs to be re-tested in the later debugging process.
  • the data during the trial operation of the air conditioning unit is uploaded to the cloud service
  • the controller may include the following steps.
  • step S304 judging whether the acquisition of key point data satisfies a corresponding data acquisition rule. If yes, execute step S305; if no, execute step S306.
  • step S307 judging whether the air-conditioning unit fails. If yes, execute step S308; if no, execute step S309.
  • the remote debugging method of the air-conditioning unit in the embodiment of the present disclosure by collecting the key point data of the air-conditioning unit in different detection stages, the overall process of the air-conditioning unit’s trial operation can be effectively monitored, and invalid data can be reduced. Channel and memory usage.
  • each outdoor unit is usually equipped with a networking module to obtain the operating data of the outdoor unit and upload the operating data of the outdoor unit to the cloud server in real time.
  • the networking module can be a 4G (The 4th Generation Mobile Communication Technology, fourth-generation mobile communication technology) communication module, a 5G (The 5th Generation Mobile Communication Technology, fifth-generation mobile communication technology) communication module, or a wifi (wireless network Communication technology)
  • the communication module, the networking module uploads the operation data of the air conditioning unit to the cloud server through the mobile network or wireless network.
  • the air conditioning unit includes a plurality of outdoor units and a networking module corresponding to each outdoor unit, and the air conditioning unit connects the plurality of outdoor units in parallel to form a system, and communicates based on the principle of bus communication.
  • the air conditioning unit in order to facilitate the control of the indoor and outdoor units of the air conditioning unit, multiple outdoor units are divided into master outdoor units and slave outdoor units. Each outdoor unit is connected to at least one indoor unit. The master outdoor unit receives the control When ordering, the control command is distributed to the corresponding slave outdoor unit to control the running state of the corresponding indoor unit.
  • each slave outdoor unit collects the operating data of the corresponding indoor unit, and sends the collected operating data to the main outdoor unit, and then Afterwards, the main outdoor unit uploads the operating data to the cloud server. Since each outdoor unit is equipped with a networking module, the slave outdoor unit uploads the operating data to the cloud server while sending the operating data to the main outdoor unit. It can be seen that in the process of data upload, the data from the outdoor unit is repeatedly uploaded, and the repeated upload of data from the outdoor unit causes data redundancy to occupy bandwidth, wastes data traffic, and increases network communication traffic. Expenses. Therefore, it is necessary to reduce data redundancy and traffic waste generated during the data upload process, and save expenses.
  • this disclosure proposes a data upload method for air-conditioning units.
  • the corresponding data upload mechanism is determined according to the type of outdoor unit to upload data, which can reduce network module uploads.
  • the data uploading method of the air conditioning unit of the present disclosure will be described in detail below.
  • Fig. 6 is a flowchart of a data uploading method of an air conditioning unit according to an embodiment of the present disclosure.
  • the data upload method of the air conditioning unit may include the following steps:
  • S31 Determine the type of the outdoor unit, where the type of the outdoor unit includes a master outdoor unit and a slave outdoor unit.
  • the type of the outdoor unit includes a master outdoor unit and a slave outdoor unit.
  • determining the type of the outdoor unit includes: acquiring parameter information of the outdoor unit; and determining the type of the outdoor unit according to the parameter information of the outdoor unit.
  • the parameter information of the outdoor unit includes the address code of the outdoor unit, and the type of the outdoor unit can be determined according to the address code of the outdoor unit.
  • the installer can set the master-slave unit for the outdoor unit according to certain rules, and divide the outdoor unit into a master outdoor unit and multiple slave outdoor units.
  • the main outdoor unit is determined according to the number of indoor units connected to the outdoor unit, or according to the performance of the outdoor unit itself, for example, the outdoor unit with a large number of connected indoor
  • the better outdoor unit is used as the master outdoor unit, and the other outdoor units except the master outdoor unit are used as slave outdoor units.
  • mark the master outdoor unit and slave outdoor unit according to different address codes for example, if the address code is set to 0#, it means the master outdoor unit, and if the address code is set to non-0#, it means the slave outdoor unit.
  • the address code of each indoor unit is obtained through the networking module corresponding to each outdoor unit, and then it is judged whether the corresponding outdoor unit is the master outdoor unit or the slave outdoor unit according to the acquired address code. Wherein, when the address code of the outdoor unit is 0#, it can be determined that the outdoor unit is the master outdoor unit; when the address code of the outdoor unit is not 0#, it can be determined that the outdoor unit is the slave outdoor unit.
  • the networking module can re-determine the type of the outdoor unit according to the changed address code information of the outdoor unit.
  • the method before determining the type of the outdoor unit, the method further includes: setting each outdoor unit Establish a communication connection with the corresponding networking module.
  • each outdoor unit can first establish a communication connection with the corresponding networking module according to the communication protocol.
  • the networking module can obtain the parameter information and operation of the corresponding outdoor unit.
  • Parameter information wherein the operating parameter information includes the operating parameters of the outdoor unit itself and the operating parameters of the correspondingly connected indoor unit.
  • S32 Determine the data upload mechanism according to the type of the outdoor unit, so as to upload the global data of the air conditioning unit through the networking module corresponding to the main outdoor unit, and/or upload the local data of the air conditioning unit through the networking module corresponding to the secondary outdoor unit .
  • the global data of the air-conditioning unit includes the operating parameters and identification of each indoor unit in the air-conditioning unit, the operating parameters and identification of each outdoor unit, and the identification of each networked module.
  • the air-conditioning unit The local data includes the identity of the outdoor unit and the identity of the networking module corresponding to the outdoor unit.
  • the operating parameters of the outdoor unit may include: compressor operating frequency, compressor target frequency, outdoor unit defrosting status, outdoor unit current and voltage, outdoor ambient temperature, condenser temperature, compressor exhaust temperature, and the identity of the outdoor unit , outdoor unit controller parameters, outdoor unit fault code, outdoor wind speed status, etc.
  • the identity of the outdoor unit can include the SN (Serial Number, product serial number) code of the outdoor unit.
  • the operating parameters of the indoor unit may include: the inlet and outlet temperature of the indoor heat exchanger, the flow rate of the refrigerant, the condition of the indoor heat exchanger being blocked, power, voltage, current, etc., and the identity of the indoor unit may include the SN code and/or Internal machine address.
  • the identity mark of the networking module may include SN code and/or ICCID (Integrate Circuit Card Identity, integrated circuit card identification code).
  • the data upload mechanism is determined according to the type of the outdoor unit.
  • the type of the outdoor unit is the main outdoor unit, its correspondingly connected networking module will obtain the data of each indoor unit.
  • the operating parameters of each indoor unit, each outdoor unit and each networking module are uploaded to the cloud server; when the type of outdoor unit is slave outdoor unit, its corresponding connected networking module
  • the identity of the corresponding network module and the identity are uploaded to the cloud server.
  • control commands when using an air-conditioning unit, the user can send a control command according to his own needs, so that the outdoor unit corresponding to the indoor unit that needs cooling or heating can work to meet the indoor cooling or heating demand.
  • control commands There are many ways to send control commands, you can send control commands through the wire controller, you can also send control commands through the terminal equipment, or send control commands through the host computer (such as office buildings or shopping malls, generally through the host computer in the monitoring room) Control instruction).
  • the networking module will upload all the data in the main outdoor unit to the cloud server;
  • the networking module corresponding to the slave outdoor unit only needs its own SN code, ICCID and the SN code of the slave outdoor unit to upload to the cloud server.
  • the networking module corresponding to the master outdoor unit is responsible for uploading its own identity and the operating parameters of the entire unit
  • the networking module corresponding to the slave outdoor unit is responsible for uploading its own identity and the identity of the slave outdoor unit, thus ensuring global While uploading data, avoid repeated data uploads and traffic waste.
  • the period for uploading global data is less than or equal to the period for uploading local data.
  • the upload period can be a preset period, or a period set remotely by the cloud server, for example, the global data upload period can be set 1min-60min.
  • the cycle of local data upload can be the same as the cycle of global data upload, or longer than the cycle of global data upload, for example, the cycle of local data upload can be set as 1h-24h.
  • the reason why the global data upload cycle is shorter than the local data upload cycle is that firstly, the integrity and consistency of the global data uploaded to the cloud server are guaranteed, and secondly, the local data upload cycle can be longer because the global data already includes local data. Some, this can reduce the frequency of partial data uploads, thereby reducing the usage of data traffic.
  • uploading the local data of the air conditioning unit from the networking module corresponding to the outdoor unit includes: receiving a periodic query instruction from the cloud server; and uploading the local data of the air conditioning unit according to the periodic query instruction upload.
  • the networking module corresponding to the slave outdoor unit may upload its own identity and the identity of the corresponding outdoor unit to the cloud server according to the set period, or it may be When receiving the periodic query instruction sent by the cloud server, upload its own identity and the identity of the corresponding outdoor unit to the cloud server according to the query instruction. On the contrary, when the query instruction is not received, the networking module does not upload the corresponding parameters, so that the data traffic consumed by the networking module uploading data can be reduced.
  • the corresponding networking module can also obtain the SN code of the outdoor unit, and the data upload mechanism is determined according to the SN code, which is highly versatile and applicable to the operation of any air-conditioning unit Scenes.
  • the data upload mechanism is determined according to the type of the outdoor unit, and the data uploading mechanism of the corresponding outdoor unit is determined through the networking module connected to the outdoor unit.
  • the upload mechanism uploads the data of the air conditioning unit. Therefore, when uploading the data of the air conditioning unit, the method determines the corresponding data upload mechanism to upload data according to the type of the outdoor unit, which can reduce the data redundancy and the traffic used when the networking module uploads data, thereby avoiding the waste of network resources , Save the cost of network communication.
  • the present disclosure further provides a remote debugging device for an air conditioning unit.
  • Fig. 4 is a schematic block diagram of a remote debugging device for an air conditioning unit according to an embodiment of the present disclosure.
  • the remote debugging device for an air-conditioning unit includes: a determination module 10 , an acquisition module 20 and an upload module 30 .
  • the determining module 10 is used to determine the detection stages in the trial operation process of the air conditioning unit, wherein the trial operation process of the air conditioning unit includes a plurality of detection stages, and corresponding data acquisition rules are set in each detection stage.
  • the acquisition module 20 is configured to acquire key point data of each detection stage according to data acquisition rules corresponding to the detection stage.
  • the upload module 30 is used to determine the test run result of the air conditioner unit when the test run process of the air conditioner unit is over, and upload data according to the test run result, so that the cloud server can remotely debug the air conditioner unit according to the uploaded data of the air conditioner unit.
  • a corresponding operation flag is set at each detection stage, wherein the determination module determines the detection stage during the trial operation of the air conditioning unit, and is specifically used to obtain the operation flag during the trial operation of the air conditioning unit bit; determine the corresponding detection stage according to the running flag bit.
  • the uploading module 30 performs data uploading according to the trial operation result, and is specifically used for determining that the trial operation process of the air conditioning unit ends normally according to the trial operation result, if the acquisition of key point data satisfies the corresponding data acquisition If the rule is used, the test run completion flag, test run diagnosis results and key point data will be uploaded.
  • the uploading module 30 uploads data according to the test run results, and is specifically used to upload the test run completion flag, the test run diagnosis results and Complete the key point data acquisition identification and upload it.
  • the uploading module 30 uploads data according to the test run results, and is specifically used for: when it is determined that the test run process of the air conditioner unit ends abnormally according to the test run results, if it is determined that the air conditioner unit has failed, then the fault code , unfinished trial run, and key point data of the period before the fault occurs are uploaded.
  • the uploading module 30 uploads data according to the result of the trial operation, and is specifically used for uploading the incomplete flag of the trial operation when it is determined that the air conditioning unit has not failed.
  • the data acquisition rule corresponding to each detection stage is associated with the operating state of the air conditioning unit in the detection stage.
  • the air conditioning unit includes a plurality of outdoor units and a networking module corresponding to each outdoor unit, and the determination module 10 is also used to determine the type of the outdoor unit, wherein the type of the outdoor unit includes the main outdoor unit and Slave outdoor unit; the upload module 30 is also used to determine the data upload mechanism according to the type of outdoor unit, so that the global data of the air conditioning unit is uploaded through the networking module corresponding to the main outdoor unit, and/or, through the corresponding networking of the outdoor unit The module uploads the local data of the air conditioning unit.
  • the determination module 10 determines the type of the outdoor unit, and is specifically used to: obtain the outdoor unit The parameter information of the outdoor unit; determine the type of the outdoor unit according to the parameter information of the outdoor unit.
  • the global data of the air-conditioning unit includes the operating parameters and identification of each indoor unit in the air-conditioning unit, the operating parameters and identification of each outdoor unit, and the identification of each networked module.
  • the air-conditioning unit The local data includes the identity of the outdoor unit and the identity of the networking module corresponding to the outdoor unit.
  • the period for uploading global data is less than or equal to the period for uploading local data.
  • the upload module 30 uploads the local data of the air conditioning unit from the networking module corresponding to the outdoor unit, and is specifically used for: receiving a periodic query instruction from the cloud server; The data is uploaded.
  • the parameter information of the outdoor unit includes the address code of the outdoor unit, wherein the determination module 10 determines the type of the outdoor unit according to the parameter information of the outdoor unit, specifically for: determining the outdoor unit according to the address code of the outdoor unit type.
  • the above device further includes: a communication establishment module, configured to establish a communication connection between each outdoor unit and a corresponding networking module before determining the type of the outdoor unit.
  • the remote debugging device of the air-conditioning unit in the embodiment of the present disclosure by collecting the key point data of the air-conditioning unit in different detection stages, the overall process of the air-conditioning unit’s trial operation can be effectively monitored, and the impact of invalid data on the channel and storage space can be reduced. occupy.
  • the present disclosure also proposes an air conditioner unit.
  • FIG. 5 is a schematic block diagram of an air conditioning unit according to an embodiment of the present disclosure.
  • the air-conditioning unit 100 of the embodiment of the present disclosure includes a memory 110, a processor 120, and a remote debugging program of the air-conditioning unit stored on the memory 110 and operable on the processor 120.
  • the processor 120 executes the program of the air-conditioning unit When the remote debugging program of the above-mentioned air-conditioning unit is implemented, the remote debugging method of the air-conditioning unit is realized.
  • the air-conditioning unit in the embodiment of the present disclosure by executing the above-mentioned remote debugging method of the air-conditioning unit, it is possible to effectively monitor the overall process of the trial operation of the air-conditioning unit, and reduce the occupation of channels and storage space by invalid data.
  • the present disclosure also proposes a computer-readable storage medium.
  • the computer-readable storage medium of the embodiment of the present disclosure stores a remote debugging program of the air conditioning unit on it, and when the remote debugging program of the air conditioning unit is executed by a processor, the above-mentioned remote debugging method of the air conditioning unit is implemented.
  • the computer-readable storage medium of the embodiment of the present disclosure by executing the above-mentioned remote debugging method of the air-conditioning unit, the overall process of the trial operation of the air-conditioning unit can be effectively monitored, and the impact of invalid data on the channel and storage space can be reduced. occupancy of the room.
  • a "computer-readable medium” may be any device that can contain, store, communicate, propagate or transmit a program for use in or in conjunction with an instruction execution system, device, or device.
  • computer-readable media include the following: electrical connection with one or more wires (electronic device), portable computer disk case (magnetic device), random access memory (RAM), Read Only Memory (ROM), Erasable and Editable Read Only Memory (EPROM or Flash Memory), Fiber Optic Devices, and Portable Compact Disc Read Only Memory (CDROM).
  • the computer-readable medium may even be paper or other suitable medium on which the program can be printed, as it may be possible, for example, by optically scanning the paper or other medium, followed by editing, interpretation, or other suitable processing if necessary.
  • the program is processed electronically and stored in computer memory.
  • various parts of the present disclosure may be implemented in hardware, software, firmware or a combination thereof.
  • various steps or methods may be implemented by software or firmware stored in memory and executed by a suitable instruction execution system.
  • a suitable instruction execution system For example, if implemented in hardware, as in another embodiment, it can be implemented by any one or combination of the following techniques known in the art: Discrete logic circuits, ASICs with suitable combinational logic gates, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

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Abstract

本公开公开了一种空调机组及其远程调试方法和调试装置，所述方法包括：确定空调机组试运行过程中的检测阶段，其中，空调机组试运行过程包括多个检测阶段，且在每个检测阶段设有对应的数据获取规则(S1)；根据检测阶段对应的数据获取规则获取每个检测阶段的关键点数据(S2)；在空调机组试运行过程结束时，确定空调机组的试运行结果，并根据试运行结果进行数据上传，以便云服务器根据空调机组的上传数据对空调机组进行远程调试(S3)。

Description

空调机组及其远程调试方法和远程调试装置
相关申请的交叉引用
本公开要求于2022年02月16日提交的申请号为202210142642.X，名称为“空调机组及其远程调试方法和远程调试装置”、以及2022年2月15日提交的申请号为202210137844.5，名称为“空调机组及其数据上传方法和数据上传装置”的中国专利申请的优先权，其全部内容通过引用结合在本公开中。
技术领域
本公开涉及空调技术领域，尤其涉及一种空调机组的远程调试装置、一种空调机组的远程调试装置、一种空调机组和一种计算机可读存储介质。
背景技术
对于大型中央空调***，通常在安装阶段会有专门的设备调试，以判断机组安装是否符合规范。随着智能化的普及，现有空调***都逐步进入联网智能控制阶段，对空调***的调试也可以通过远程命令的下发进行。但是，远程终端智能接收到只有试运行开始和试运行结束过程故障反馈，对于试运行的整体过程监控不足，并不方便后续对空调***进行维护时对初始安装状态的回溯，或是对安装初始状态的数字化识别。但若对空调***的整个试运行过程的数据都进行采集和收集，又会造成无效数据过多，占用信道和存储资源的问题。
公开内容
本公开旨在至少在一定程度上解决相关技术中的技术问题之一。为此，本公开的第一个目的在于提出一种空调机组的远程调试方法，通过采集空调机组在不同检测阶段运行的关键点数据，可以对空调机组试运行的整体过程进行有效地监控，减少无效数据对信道和存储空间的占用。
本公开的第二个目的在于提出一种空调机组的远程调试装置。
本公开的第三个目的在于提出一种空调机组。
本公开的第四个目的在于提出一种计算机可读存储介质。
为达到上述目的，本公开第一方面实施例提出了空调机组的远程调试方法，方法包括：确定空调机组试运行过程中的检测阶段，其中，空调机组试运行过程包括多个检测阶段，且在每个检测阶段设有对应的数据获取规则；根据检测阶段对应的数据获取规则 获取每个检测阶段的关键点数据；在空调机组试运行过程结束时，确定空调机组的试运行结果，并根据试运行结果进行数据上传，以便云服务器根据空调机组的上传数据对空调机组进行远程调试。
根据本公开实施例的空调机组的远程调试方法，在确定空调机组试运行过程中的检测阶段后，根据检测阶段对应的数据获取规则获取每个检测阶段的关键点数据，并在空调机组试运行过程结束时，确定空调机组的试运行结果，并根据试运行结果进行数据上传，以便云服务器根据空调机组的上传数据对空调机组进行远程调试。由此，该方法通过采集空调机组在不同检测阶段运行的关键点数据，可以对空调机组试运行的整体过程进行有效地监控，减少无效数据对信道和存储空间的占用。
另外，根据本公开上述实施例的空调机组的远程调试方法还可以具有如下的附加技术特征：
根据本公开的一个实施例，在每个检测阶段设有对应的运行标志位，其中，确定空调机组试运行过程中的检测阶段，包括：获取空调机组试运行过程中的运行标志位；根据运行标志位确定对应的检测阶段。
根据本公开的一个实施例，根据试运行结果进行数据上传，包括：在根据试运行结果确定空调机组试运行过程为正常结束时，如果关键点数据的获取满足相应的数据获取规则，则将试运行完成标志、试运行诊断结果和关键点数据进行上传。
根据本公开的一个实施例，根据试运行结果进行数据上传，还包括：在关键点数据的获取未满足相应的数据获取规则时，将试运行完成标志、试运行诊断结果和未完成关键点数据获取标识进行上传。
根据本公开的另一个实施例，根据试运行结果进行数据上传，包括：在根据试运行结果确定空调机组试运行过程为异常结束时，如果确定空调机组发生故障，则将故障代码、试运行未完成标识以及故障发生前一周期的关键点数据进行上传。
根据本公开的一个实施例，根据试运行结果进行数据上传，还包括：在确定空调机组未发生故障时，将试运行未完成标识进行上传。
根据本公开的一个实施例，每个检测阶段对应的数据获取规则与该检测阶段的空调机组运行状态相关联。
根据本公开的一个实施例，空调机组包括多个室外机和与每个室外机对应设置的联网模块，上述方法还包括：确定室外机的类型，其中，室外机的类型包括主室外机和从室外机；根据室外机的类型确定数据上传机制，以便通过主室外机对应的联网模块将空调机组的全局数据进行上传，和/或，通过从室外机对应的联网模块将空调机组的局部数 据进行上传。
根据本公开的一个实施例，确定室外机的类型，包括：获取室外机的参数信息；根据室外机的参数信息确定室外机的类型。
根据本公开的一个实施例，空调机组的全局数据包括空调机组中每个室内机的运行参数和身份标识、每个室外机的运行参数和身份标识、以及每个联网模块的身份标识，空调机组的局部数据包括从室外机的身份标识和从室外机对应的联网模块的身份标识。
根据本公开的一个实施例，对全局数据进行上传的周期小于等于对局部数据进行上传的周期。
根据本公开的一个实施例，通过从室外机对应的联网模块将空调机组的局部数据进行上传，包括：接收云端服务器的定期查询指令；根据定期查询指令将空调机组的局部数据进行上传。
根据本公开的一个实施例，室外机的参数信息包括室外机的地址码，其中，根据室外机的参数信息确定室外机的类型，包括：根据室外机的地址码确定室外机的类型。
根据本公开的一个实施例，在确定室外机的类型之前，方法还包括：将每个室外机与对应的联网模块建立通信连接。
为达到上述目的，本公开第二方面实施例提出了一种空调机组的远程调试装置，包括：确定模块，用于确定空调机组试运行过程中的检测阶段，其中，空调机组试运行过程包括多个检测阶段，且在每个检测阶段设有对应的数据获取规则；获取模块，用于根据检测阶段对应的数据获取规则获取每个检测阶段的关键点数据；上传模块，用于在空调机组试运行过程结束时，确定空调机组的试运行结果，并根据试运行结果进行数据上传，以便云服务器根据空调机组的上传数据对空调机组进行远程调试。
根据本公开实施例的空调机组的远程调试装置，确定模块确定空调机组试运行过程中的检测阶段，获取模块根据检测阶段对应的数据获取规则获取每个检测阶段的关键点数据，在空调机组试运行过程结束时，上传模块确定空调机组的试运行结果，并根据试运行结果进行数据上传，以便云服务器根据空调机组的上传数据对空调机组进行远程调试。由此，该装置通过采集空调机组在不同检测阶段运行的关键点数据，可以对空调机组试运行的整体过程进行有效地监控，减少无效数据对信道和存储空间的占用。
为达到上述目的，本公开第三方面实施例提出的一种空调机组，包括存储器、处理器及存储在存储器上并可在处理器上运行的空调机组的远程调试程序，处理器执行空调机组的远程调试程序时，实现上述的空调机组的远程调试方法。
根据本公开实施例的空调机组，通过执行上述的空调机组的远程调试方法，能够对空调机组试运行的整体过程进行有效地监控，减少无效数据对信道和存储空间的占用。
为达到上述目的，本公开第四方面实施例提出了一种计算机可读存储介质，其上存储有空调机组的远程调试程序，该空调机组的远程调试程序被处理器执行时实现上述的空调机组的远程调试方法。
根据本公开实施例的计算机可读存储介质，通过执行上述的空调机组的远程调试方法，能够对空调机组试运行的整体过程进行有效地监控，减少无效数据对信道和存储空间的占用。
本公开附加的方面和优点将在下面的描述中部分给出，部分将从下面的描述中变得明显，或通过本公开的实践了解到。
附图说明
图1为根据本公开实施例的空调机组的远程调试方法的流程图；
图2为根据本公开的一个实施例的空调机组试运行的运行标志位的坐标图；
图3为根据本公开的一个实施例的空调机组数据上传的流程图；
图4为根据本公开实施例的空调机组的远程调试装置的方框示意图；
图5为根据本公开实施例的空调机组的方框示意图；
图6为根据本发明实施例的空调机组的数据上传方法的流程图。
具体实施方式
下面详细描述本公开的实施例，所述实施例的示例在附图中示出，其中自始至终相同或类似的标号表示相同或类似的元件或具有相同或类似功能的元件。下面通过参考附图描述的实施例是示例性的，旨在用于解释本公开，而不能理解为对本公开的限制。
下面参考附图描述本公开实施例提出的空调机组的远程调试方法、空调机组的远程调试装置、空调机组和计算机可读存储介质。
图1为根据本公开实施例的空调机组的远程调试方法的流程图。
在本公开的一个实施例中，空调机组可包括至少一个室外机和与每个室外机相连的多个室内机，以及与室外机对应设置的联网模块，联网模块用于获取空调机组运行过程中的运行参数和设置参数，将获取到的数据进行缓存、运算、筛选等相关处理后，再发送至云服务器，以便云端服务器根据上传的数据对空调机组进行远程调试。
如图1所示，本公开实施例的空调机组的远程调试方法，可包括以下步骤：
S1，确定空调机组试运行过程中的检测阶段，其中，空调机组试运行过程包括多个检测阶段，且在每个检测阶段设有对应的数据获取规则。
根据本公开的一个实施例，在每个检测阶段设有对应的运行标志位，其中，确定空调机组试运行过程中的检测阶段，包括：获取空调机组试运行过程中的运行标志位；根据运行标志位确定对应的检测阶段。需要说明的是，运行标志位是预先设置好的，不同的运行标志位对应不同的检测阶段。
具体而言，在云服务器对空调机组进行远程调试前，首先需要对空调机组进行试运行以发现空调机组所存在的问题，云服务器针对试运行过程中发现的问题下达相应的调试指令进行调试。在空调机组试运行过程中，包括多个运行阶段，如冷启动阶段、稳定运行阶段、退出运行阶段等。在不同的运行状态下，空调机组的运行参数也有较大的差异。为了更加准确地对空调机组不同运行状态进行检测，可以对应地设置多个检测阶段。为了准确检测出空调的试运行当前所处的检测阶段，可以通过检测运行标志位的方式以获得空调机组试运行所进入的检测阶段。
举例而言，可以将空调机组的试运行过程分成以下检测阶段：准备检测阶段、第一检测阶段、第二检测阶段、第三检测阶段和结束检测。如图2所示，图中的纵坐标为空调机组试运行阶段的表征参数，该表征参数包括但不限于压缩机频率、排气温度、或者其他相互组合的机组运行参数，图中的横坐标为空调机组的运行时间，横坐标上的Step0、Step1、Step2、Step3、Step4为运行标志位，分别用来表示空调机组的试运行进入不同的检测阶段。其中，运行标志位Step0表示进入准备检测阶段，此时空调机组接收到远程调试指令开始试运行。运行标志位Step1表示进入第一检测阶段，此时空调机组处于运转前自检状态，该检测阶段检测空调机组的部件是否可以正常工作，该检测阶段获取的数据可以为检测冷媒***阀体组件是否能正常开启、阀体及连接部位是否有泄漏等。运行标志位Step2表示进入第二检测阶段，此时空调机组启动已完成并进入相对稳定运行状态，该检测阶段开始检测空调机组运行的稳定性，该检测阶段获取的数据可以为冷媒充注量是否正常、制冷***及压缩机运转有无异常噪音、各点检运行参数是否在允许范围内等。运行标志位Step3表示进入第三检测阶段，此时空调机组进行检测结束前的冷媒回收或降频操作等，该检测阶段获取的数据可以为冷媒的回收量是否正常、空调机组降频后的运转状态等。运行标志位Step4表示检测结束，空调机组的试运行过程完成。
需要说明的是，上述检测过程的顺序不限于从Step0→Step1→Step2→Step3→Step4，具体的检测顺序可依照不同的厂家、不同的检测模式而进行差异化的设计。
根据本公开的一个实施例，每个检测阶段对应的数据获取规则与该检测阶段的空调机组运行状态相关联。
具体而言，在试运行过程中，不同检测阶段下的空调机组的运行状态是不同的。在进入每个检测阶段后可以按照一定的规则获取该检测阶段空调机组的运行数据，可以使每个检测阶段获取的数据能够代表空调机组在该检测阶段运行的平均水平，反应空调机组在该检测阶段下的运行状态。例如，第二检测阶段获取数据规则可以为在第二检测阶段稳定运行一段时间(如5～10min)后获取运行数据，或者，依照运行状态参数进行判断(如，运行状态参数趋向于稳定)，或者在室外机的排气温度的波动小于5℃时获取数据。由此，每个检测阶段按照相应的数据获取规则采集数据，可以减少对无效数据的收集。
S2，根据检测阶段对应的数据获取规则获取每个检测阶段的关键点数据。
具体而言，每个检测阶段的关键点数据应当能够体现出空调机组在该检测阶段的运行状态，以便云服务器可以根据关键数据点对空调机组的运行状况进行评估。关键点数据可以为每个检测阶段的室内外机的全量运行数据，或经过筛选后每个检测阶段空调机组的关键运行数据。关键点数据可以是该检测阶段的空调机组运行数据的一组或多组，具体可根据云端服务器对数据量的需求和网关路由器的计算能力、缓存能力等决定。例如，当当前检测阶段处于Step2阶段时，获取冷媒冲注量和表征***运行稳定性的参数；又如，当当前检测阶段处于Step3时，获取冷媒回收量和空调机组的运行频率。
S3，在空调机组试运行过程结束时，确定空调机组的试运行结果，并根据试运行结果进行数据上传，以便云服务器根据空调机组的上传数据对空调机组进行远程调试。
具体而言，在每个检测阶段都完成后或者在某一个检测阶段无法进行时，确定试运行结束。其中，在试运行过程中，所有检测阶段都完成，可以认为试运行结果为正常完成；空调机组在试运行过程中，在某一个检测阶段出现无法进行的情况时，可以以确定试运行结果为异常。在确定试运行结果后，联网模块可以将采集的关键点数据和试运行结果上传至云服务器，从而使得云服务器可以根据上传的数据下达相应的远程调试指令，以对空调机组进行远程调试。
下面结合具体实施例来详细说明根据试运行结果进行数据上传的过程。
根据本公开的一个实施例，根据试运行结果进行数据上传，包括：在根据试运行结果确定空调机组试运行过程为正常结束时，如果关键点数据的获取满足相应的数据获取规则，则将试运行完成标志、试运行诊断结果和关键点数据进行上传。其中，关键点数据的数据获取规则为关键点数据的数量要到达一定值。
进一步地，根据本公开的一个实施例，根据试运行结果进行数据上传，还包括：在关键点数据的获取未满足相应的数据获取规则时，将试运行完成标志、试运行诊断结果和未完成关键点数据获取标识进行上传。
具体而言，在试运行过程中，空调机组的自带程序可以诊断试运行过程中出现的问题，如冷媒管少冷媒等，并生成试运行诊断结果。在空调机组的试运行检测过程中，试运行的检测阶段的运行标志位为结束运行标志位时，或者，有试运行诊断结果生成，空调机组的试运行正常结束。空调机组的试运行正常结束，并且联网模块获取的关键点数据的数量满足了数据获取规则所规定的数量，将试运行完成标志、试运行诊断结果和关键点数据进行上传至云服务器。
空调机组的试运行正常结束，但所获取的关键点数据的数量不满足数据获取规则所规定的数量，将试运行完成标志、试运行诊断结果和联网模块未完成关键点数据获取标识进行上传。其中未完成关键点数据获取标识的字段可以为空。
根据本公开的一个实施例，根据试运行结果进行数据上传，包括：在根据试运行结果确定空调机组试运行过程为异常结束时，如果确定空调机组发生故障，则将故障代码、试运行未完成标识以及故障发生前一周期的关键点数据进行上传。其中，故障发生前一周期的运行数据为空调机组内外机的全量运行数据，可以参照网关路由器的计算能力进行决定，并可做相应的取舍。
具体而言，在空调机组试运行期间的某一时刻，触发了空调机组自身的故障，如排气温度超过100℃等，空调机组立即停止试运行，空调机组试运行异常结束。在发生故障时，空调机组根据故障类型生成故障代码，并发出空调机组故障信号和试运行未完成标识。联网模块将空调机组的故障代码、试运行未完成标识和故障发生前一周期的关键点数据上传至云服务器。
在本公开的另一个实施例中，试运行未完成标识可以由网关路由器根据空调机组发出的故障信号判断空调机组试运行未完成时生成，也可以由空调机组确定自身确定。根据本公开的一个实施例，根据试运行结果进行数据上传，还包括：在确定空调机组未发生故障时，将试运行未完成标识进行上传。
具体而言，在试运行过程中，调试人员因突发状况而停止了空调机组的试运行过程，空调机组转为正常运行或者待机状态，空调机组的试运行为异常结束，但空调机组并未发生故障。此时联网模块仅将试运行未完成标识上传至云服务器，以表示空调机组未完成试运行，在后期调试过程中需要对该空调机组重新进行试运行。
作为一个具体示例，如图3所示，将空调机组的试运行过程中的数据上传至云服务 器可包括以下步骤。
S301，确定空调机组试运行过程中的检测阶段。
S302，根据检测阶段对应的数据获取规则获取每个检测阶段的关键点数据。
S303，判断空调机组试运行是否正常结束。如果是，执行步骤S304；如果否，执行步骤S307。
S304，判断关键点数据的获取是否满足相应的数据获取规则。如果是，执行步骤S305；如果否，执行步骤S306。
S305，将试运行完成标志、试运行诊断结果和关键点数据上传至云服务器。
S306，将试运行完成标志、试运行诊断结果和未完成关键点数据获取标识上传至云服务器。
S307，判断空调机组是否出现故障。如果是，执行步骤S308；如果否，执行步骤S309。
S308，将故障代码、试运行未完成标识以及故障发生前一周期的关键点数据上传至云服务器。
S309，将试运行未完成标识上传至云服务器。
综上所述，根据本公开实施例的空调机组的远程调试方法，通过采集空调机组在不同检测阶段运行的关键点数据，可以对空调机组试运行的整体过程进行有效地监控，减少无效数据对信道和存储空间的占用。
随着智能化的普及，现有空调机组都逐步进入联网智能控制阶段。为了数据通讯的便捷性以及生产的标准化，通常为每一台室外机都配备一个联网模块，用于获取室外机的运行数据，并将室外机的运行数据实时上传至云服务器。其中，联网模块可以为4G(The 4th Generation Mobile Communication Technology，***移动通信技术)通信模块、5G(The 5th Generation Mobile Communication Technology，第五代移动通信技术)通信模块、或者为wifi(无线网络通信技术)通信模块，联网模块通过移动网络或者无线网络将空调机组的运行数据上传至云端服务器。
在本公开的一些实施例中，空调机组包括多个室外机和与每个室外机对应设置的联网模块，空调机组将多个室外机并联组成一个***，并且基于总线通讯原则进行通讯。在通讯过程中，为了便于对空调机组的室内外机进行控制，将多个室外机分为主室外机和从室外机，每个室外机均连接至少一个室内机，主室外机在接收到控制命令时，将控制命令分发至对应的从室外机，以控制对应的室内机的运行状态。在数据上传过程中，每个从室外机会收集对应室内机的运行数据，并将收集的运行数据发送给主室外机，然 后由主室外机将运行数据上传至云服务器，由于每个室外机均配有联网模块，所以从室外机在将运行数据发送给主室外机的同时，还是将运行数据上传至云端服务器。由此可见，在数据上传的过程中，从室外机的数据出现了重复上传的现象，而从室外机的数据重复上传造成了数据冗余占用带宽，浪费了数据流量，增大了网络通信的费用开支。因此，需要减少数据上传过程中产生的数据冗余和流量浪费，节省费用开支。
为了减少上传数据冗余和流量浪费，本公开提出了一种空调机组的数据上传方法，在上传空调机组的数据时，根据室外机的类型确定相应的数据上传机制上传数据，可以减少联网模块上传数据时所产生的数据冗余以及使用的流量，从而避免了网络资源浪费，节省了网络通信的费用开支。下面详细描述本公开的空调机组的数据上传方法。
图6为根据本公开实施例的空调机组的数据上传方法的流程图。
如图6所示，本公开实施例的空调机组的数据上传方法可包括以下步骤：
S31，确定室外机的类型，其中，室外机的类型包括主室外机和从室外机。在本公开的一个实施例中，从室外机的个数可以为多个，每个室外机可对应连接至少一个室内机。
据本公开的一个实施例，确定室外机的类型，包括：获取室外机的参数信息；根据室外机的参数信息确定室外机的类型。其中，室外机的参数信息包括室外机的地址码，可根据室外机的地址码确定室外机的类型。
具体而言，在空调机组安装时，可以由安装人员可以按照一定的规则对室外机进行主从机设置，将室外机分为一个主室外机和多个从室外机。例如，根据室外机连接的室内机的台数，或者根据室外机自身的性能确定主室外机，如，将连接的室内机台数较多的室外机作为主室外机，或者将存储容量较大且性能较好的室外机作为主室外机，并将除主室外机之外的其余室外机作为从室外机。然后将主室外机和从室外机按照不同的地址码进行标记，例如，地址码设置为0#的表示主室外机，地址码设置为非0#的表示从室外机。
在空调机组上电运行过程中，通过每个室外机对应设置的联网模块来获取每个室内机的地址码，然后根据获取的地址码来判断对应室外机是主室外机还是从室外机。其中，当室外机的地址码为0#时，可以确定该室外机为主室外机；当室外机的地址码为非0#时，可以确定该室外机为从室外机。
在本公开的一些实施例中，当室外机主从机发生变化时，即室外机的地址码发生更改，联网模块可以根据变化后的室外机地址码信息重新确定室外机的类型。
根据本公开的一个实施例，在确定室外机的类型之前，方法还包括：将每个室外机 与对应的联网模块建立通信连接。
也就是说，在空调机组上电后，每个室外机可以根据通信协议与先建立与对应联网模块的通信连接，在建立通信连接以后，联网模块可以获取其对应的室外机的参数信息和运行参数信息，其中，运行参数信息包括室外机本身的运行参数和对应连接的室内机的运行参数。
S32，根据室外机的类型确定数据上传机制，以便通过主室外机对应的联网模块将空调机组的全局数据进行上传，和/或，通过从室外机对应的联网模块将空调机组的局部数据进行上传。
根据本公开的一个实施例，空调机组的全局数据包括空调机组中每个室内机的运行参数和身份标识、每个室外机的运行参数和身份标识、以及每个联网模块的身份标识，空调机组的局部数据包括从室外机的身份标识和从室外机对应的联网模块的身份标识。其中，室外机的运行参数可以包括：压缩机运行频率、压缩机目标频率、室外机化霜状态、室外机电流电压、室外环境温度、冷凝器温度、压缩机排气温度、室外机的身份标识、室外机控制器参数、室外机故障代码、室外风速状态等，外机的身份标识可以包括室外机的SN(Serial Number，产品序列号)码。室内机的运行参数可以包括：室内换热器的进出口温度、冷媒流量、室内换热器脏堵情况、功率、电压、电流等，室内机的身份标识可以包括室内机的SN码和/或内机地址。联网模块的身份标识可以包括SN码和/或ICCID(Integrate Circuit Card Identity，集成电路卡识别码)。
具体而言，在通过上述步骤S31确定室外机的类型之后，根据室外机的类型确定数据上传机制，其中，当室外机的类型为主室外机时，其对应连接的联网模块将获取每个室内机和室外机的运行参数，每个室内机、每个室外机和每个联网模块的身份标识均上传至云端服务器；当室外机的类型为从室外机时，其对应连接的联网模块将自身的身份标识和对应的联网模块的身份标识上传至云端服务器。
举例而言，用户在使用空调机组时，可以根据自身需求发送控制指令，以使需要制冷或制热的室内机对应的室外机工作，满足室内制冷或制热的需求。发送控制指令的方式有多种，可以通过线控器发送控制指令，还可以通过终端设备发送控制指令，或者通过上位机发送控制指令(如办公楼或者商场，一般通过监控室中的上位机发送控制指令)。
在空调机组运行的过程中，根据地址码确定当前室外机为主室外机时，由于主室外机会接收其他从室外机发送的参数信息，即主室外机中包含了整个空调机组的全部参数信息，此时，联网模块将会把主室外机内的全部数据均上传至云服务器；根据地址码确 定当前室外机为从室外机时，为了避免数据上传重复，浪费流量，从室外机对应的联网模块只需要自身的SN码、ICCID以及从室外机的SN码上传至云服务器。
也就是说，主室外机对应的联网模块负责上传自身的身份标识和整个机组的运行参数，从室外机对应的联网模块负责上传自身的身份标识和从室外机的身份标识，由此在保证全局数据上传的同时，避免数据的重复上传和流量的浪费。
根据本公开的一个实施例，对全局数据进行上传的周期小于等于对局部数据进行上传的周期。
也就是说，当与主室外机连接的联网模块执行全局数据上传机制时，上传的周期可以为按照预设的周期，或者云端服务器远程设定的周期，例如，全局数据上传的周期可以设定为1min-60min。当与从室外机连接的联网模块将执行局部数据上传机制时，局部数据上传的周期可与全局数据上传的周期相同，或者长于全局数据上传的周期，例如，局部数据上传的周期可以设定为1h-24h。全局数据上传的周期小于局部数据上传的周期的原因在于，首先保证上传至云服务器的全局数据的完整性和连贯性，其次由于全局数据中已经包含了局部数据，所以局部数据上传的周期可以长一些，这样可以减少局部数据上传的频率，从而可以减少数据流量的使用量。
进一步地，在本公开的一些实施例中，通过从室外机对应的联网模块将空调机组的局部数据进行上传，包括：接收云端服务器的定期查询指令；根据定期查询指令将空调机组的局部数据进行上传。
换句话说，当当前室外机为从室外机时，可以是由从室外机对应的联网模块按照设定的周期将自身的身份标识和对应的室外机的身份标识上传至云服务器，还可以是在接收到云服务器发送的定期查询指令时，再根据查询指令将自身的身份标识和对应的室外机的身份标识上传至云服务器。相反的，在未接收到查询指令时，联网模块则不上传对应的参数，从而可以减少联网模块上传数据所消耗的数据流量。
需要说明的是，即使空调机组的主从室外机发生变更，对应的联网模块也能获取到室外机的SN码，根据SN码确定数据上传机制，通用性较强，适用于任何空调机组的运行场景。
综上所述，根据本公开实施例的空调机组的数据上传方法，在确定室外机的类型后，根据室外机的类型确定数据上传机制，通过与室外机连接的联网模块根据相应室外机的数据上传机制将空调机组的数据上传。由此，该方法在上传空调机组的数据时，根据室外机的类型确定相应的数据上传机制上传数据，可以减少联网模块上传数据时所产生的数据冗余以及使用的流量，从而避免网络资源浪费，节省网络通信的费用开支。
对应上述实施例，本公开还提供了一种空调机组的远程调试装置。
图4为根据本公开实施例的空调机组的远程调试装置的方框示意图。
如图4所示，本公开实施例的空调机组的远程调试装置，包括：确定模块10、获取模块20和上传模块30。
其中，确定模块10用于确定空调机组试运行过程中的检测阶段，其中，空调机组试运行过程包括多个检测阶段，且在每个检测阶段设有对应的数据获取规则。获取模块20用于根据检测阶段对应的数据获取规则获取每个检测阶段的关键点数据。上传模块30用于在空调机组试运行过程结束时，确定空调机组的试运行结果，并根据试运行结果进行数据上传，以便云服务器根据空调机组的上传数据对空调机组进行远程调试。
根据本公开的一个实施例，在每个检测阶段设有对应的运行标志位，其中，确定模块确定空调机组试运行过程中的检测阶段，具体用于，获取空调机组试运行过程中的运行标志位；根据运行标志位确定对应的检测阶段。
根据本公开的一个实施例，上传模块30根据试运行结果进行数据上传，具体用于，在根据试运行结果确定空调机组试运行过程为正常结束时，如果关键点数据的获取满足相应的数据获取规则，则将试运行完成标志、试运行诊断结果和关键点数据进行上传。
根据本公开的一个实施例，上传模块30根据试运行结果进行数据上传，具体用于，在关键点数据的获取未满足相应的数据获取规则时，将试运行完成标志、试运行诊断结果和未完成关键点数据获取标识进行上传。
根据本公开的一个实施例，上传模块30根据试运行结果进行数据上传，具体用于，在根据试运行结果确定空调机组试运行过程为异常结束时，如果确定空调机组发生故障，则将故障代码、试运行未完成标识以及故障发生前一周期的关键点数据进行上传。
根据本公开的一个实施例，上传模块30根据试运行结果进行数据上传，具体用于，在确定空调机组未发生故障时，将试运行未完成标识进行上传。
根据本公开的一个实施例，每个检测阶段对应的数据获取规则与该检测阶段的空调机组运行状态相关联。
根据本公开的一个实施例，空调机组包括多个室外机和与每个室外机对应设置的联网模块，确定模块10还用于确定室外机的类型，其中，室外机的类型包括主室外机和从室外机；上传模块30，还用于根据室外机的类型确定数据上传机制，以便通过主室外机对应的联网模块将空调机组的全局数据进行上传，和/或，通过从室外机对应的联网模块将空调机组的局部数据进行上传。
根据本公开的一个实施例，确定模块10确定室外机的类型，具体用于：获取室外 机的参数信息；根据室外机的参数信息确定室外机的类型。
根据本公开的一个实施例，空调机组的全局数据包括空调机组中每个室内机的运行参数和身份标识、每个室外机的运行参数和身份标识、以及每个联网模块的身份标识，空调机组的局部数据包括从室外机的身份标识和从室外机对应的联网模块的身份标识。
根据本公开的一个实施例，对全局数据进行上传的周期小于等于对局部数据进行上传的周期。
根据本公开的另一个实施例，上传模块30通过从室外机对应的联网模块将空调机组的局部数据进行上传，具体用于：接收云端服务器的定期查询指令；根据定期查询指令将空调机组的局部数据进行上传。
根据本公开的一个实施例，室外机的参数信息包括室外机的地址码，其中，确定模块10根据室外机的参数信息确定室外机的类型，具体用于：根据室外机的地址码确定室外机的类型。
根据本公开的一个实施例，上述装置还包括：通信建立模块，用于在确定室外机的类型之前，将每个室外机与对应的联网模块建立通信连接。
需要说明的是，本公开实施例的空调机组的远程调试装置中未披露的细节，请参照本公开实施例的空调机组的远程调试装置中所披露的细节，具体这里不再赘述。
根据本公开实施例的空调机组的远程调试装置，通过采集空调机组在不同检测阶段运行的关键点数据，可以对空调机组试运行的整体过程进行有效地监控，减少无效数据对信道和存储空间的占用。
对应上述实施例，本公开还提出了一种空调机组。
图5为根据本公开实施例的空调机组的方框示意图。
如图5所示，本公开实施例的空调机组100，包括存储器110、处理器120及存储在存储器110上并可在处理器120上运行的空调机组的远程调试程序，处理器120执行空调机组的远程调试程序时，实现上述的空调机组的远程调试方法。
根据本公开实施例的空调机组，通过执行上述的空调机组的远程调试方法，能够对空调机组试运行的整体过程进行有效地监控，减少无效数据对信道和存储空间的占用。
对应上述实施例，本公开还提出了一种计算机可读存储介质。
本公开实施例的计算机可读存储介质，其上存储有空调机组的远程调试程序，该空调机组的远程调试程序被处理器执行时实现上述的空调机组的远程调试方法。
根据本公开实施例的计算机可读存储介质，通过执行上述的空调机组的远程调试方法，能够对空调机组试运行的整体过程进行有效地监控，减少无效数据对信道和存储空 间的占用。
需要说明的是，在流程图中表示或在此以其他方式描述的逻辑和/或步骤，例如，可以被认为是用于实现逻辑功能的可执行指令的定序列表，可以具体实现在任何计算机可读介质中，以供指令执行***、装置或设备(如基于计算机的***、包括处理器的***或其他可以从指令执行***、装置或设备取指令并执行指令的***)使用，或结合这些指令执行***、装置或设备而使用。就本说明书而言，"计算机可读介质"可以是任何可以包含、存储、通信、传播或传输程序以供指令执行***、装置或设备或结合这些指令执行***、装置或设备而使用的装置。计算机可读介质的更具体的示例(非穷尽性列表)包括以下：具有一个或多个布线的电连接部(电子装置)，便携式计算机盘盒(磁装置)，随机存取存储器(RAM)，只读存储器(ROM)，可擦除可编辑只读存储器(EPROM或闪速存储器)，光纤装置，以及便携式光盘只读存储器(CDROM)。另外，计算机可读介质甚至可以是可在其上打印所述程序的纸或其他合适的介质，因为可以例如通过对纸或其他介质进行光学扫描，接着进行编辑、解译或必要时以其他合适方式进行处理来以电子方式获得所述程序，然后将其存储在计算机存储器中。
应当理解，本公开的各部分可以用硬件、软件、固件或它们的组合来实现。在上述实施方式中，多个步骤或方法可以用存储在存储器中且由合适的指令执行***执行的软件或固件来实现。例如，如果用硬件来实现，和在另一实施方式中一样，可用本领域公知的下列技术中的任一项或他们的组合来实现：具有用于对数据信号实现逻辑功能的逻辑门电路的离散逻辑电路，具有合适的组合逻辑门电路的专用集成电路，可编程门阵列(PGA)，现场可编程门阵列(FPGA)等。
在本说明书的描述中，参考术语“一个实施例”、“一些实施例”、“示例”、“具体示例”、或“一些示例”等的描述意指结合该实施例或示例描述的具体特征、结构、材料或者特点包含于本公开的至少一个实施例或示例中。在本说明书中，对上述术语的示意性表述不一定指的是相同的实施例或示例。而且，描述的具体特征、结构、材料或者特点可以在任何的一个或多个实施例或示例中以合适的方式结合。
尽管上面已经示出和描述了本公开的实施例，可以理解的是，上述实施例是示例性的，不能理解为对本公开的限制，本领域的普通技术人员在本公开的范围内可以对上述实施例进行变化、修改、替换和变型。

Claims (17)

  1. 空调机组的远程调试方法，所述方法包括：
    确定所述空调机组试运行过程中的检测阶段，其中，所述空调机组试运行过程包括多个检测阶段，且在每个检测阶段设有对应的数据获取规则；
    根据所述检测阶段对应的数据获取规则获取每个检测阶段的关键点数据；
    在所述空调机组试运行过程结束时，确定所述空调机组的试运行结果，并根据所述试运行结果进行数据上传，以便云服务器根据所述空调机组的上传数据对所述空调机组进行远程调试。
  2. 根据权利要求1所述的方法，其中，在每个所述检测阶段设有对应的运行标志位，其中，确定所述空调机组试运行过程中的检测阶段，包括：
    获取所述空调机组试运行过程中的运行标志位；
    根据所述运行标志位确定对应的检测阶段。
  3. 根据权利要求1或2所述的方法，其中，根据所述试运行结果进行数据上传，包括：
    在根据所述试运行结果确定所述空调机组试运行过程为正常结束时，如果所述关键点数据的获取满足相应的数据获取规则，则将试运行完成标志、试运行诊断结果和所述关键点数据进行上传。
  4. 根据权利要求3所述的方法，其中，根据所述试运行结果进行数据上传，还包括：
    在所述关键点数据的获取未满足相应的数据获取规则时，将所述试运行完成标志、所述试运行诊断结果和未完成关键点数据获取标识进行上传。
  5. 根据权利要求1或2所述的方法，其中，根据所述试运行结果进行数据上传，包括：
    在根据所述试运行结果确定所述空调机组试运行过程为异常结束时，如果确定所述空调机组发生故障，则将故障代码、试运行未完成标识以及故障发生前一周期的关键点数据进行上传。
  6. 根据权利要求5所述的方法，其中，根据所述试运行结果进行数据上传，还包括：
    在确定所述空调机组未发生故障时，将所述试运行未完成标识进行上传。
  7. 根据权利要求1所述的方法，其中，每个检测阶段对应的数据获取规则与该检 测阶段的空调机组运行状态相关联。
  8. 根据权利要求1所述的方法，其中，所述空调机组包括多个室外机和与每个所述室外机对应设置的联网模块，所述方法还包括：
    确定所述室外机的类型，其中，所述室外机的类型包括主室外机和从室外机；
    根据所述室外机的类型确定数据上传机制，以便通过所述主室外机对应的联网模块将所述空调机组的全局数据进行上传，和/或，通过所述从室外机对应的联网模块将所述空调机组的局部数据进行上传。
  9. 根据权利要求8所述的方法，其中，所述确定所述室外机的类型，包括：
    获取所述室外机的参数信息；
    根据所述室外机的参数信息确定所述室外机的类型。
  10. 根据权利要求8或9所述的方法，其中，所述空调机组的全局数据包括所述空调机组中每个室内机的运行参数和身份标识、每个室外机的运行参数和身份标识、以及每个联网模块的身份标识，所述空调机组的局部数据包括所述从室外机的身份标识和所述从室外机对应的联网模块的身份标识。
  11. 根据权利要求8或9所述的方法，其中，对所述全局数据进行上传的周期小于等于对所述局部数据进行上传的周期。
  12. 根据权利要求8或9所述的方法，其中，通过所述从室外机对应的联网模块将所述空调机组的局部数据进行上传，包括：
    接收云端服务器的定期查询指令；
    根据所述定期查询指令将所述空调机组的局部数据进行上传。
  13. 根据权利要求9所述的方法，其中，所述室外机的参数信息包括所述室外机的地址码，其中，根据所述室外机的参数信息确定所述室外机的类型，包括：
    根据所述室外机的地址码确定所述室外机的类型。
  14. 根据权利要求8或9所述的方法，其中，在确定所述室外机的类型之前，所述方法还包括：
    将每个所述室外机与对应的联网模块建立通信连接。
  15. 空调机组的远程调试装置，包括：
    确定模块，用于确定所述空调机组试运行过程中的检测阶段，其中，所述空调机组试运行过程包括多个检测阶段，且在每个检测阶段设有对应的数据获取规则；
    获取模块，用于根据所述检测阶段对应的数据获取规则获取每个检测阶段的关键点数据；
    上传模块，用于在所述空调机组试运行过程结束时，确定所述空调机组的试运行结果，并根据所述试运行结果进行数据上传，以便云服务器根据所述空调机组的上传数据对所述空调机组进行远程调试。
  16. 空调机组，包括存储器、处理器及存储在存储器上并可在处理器上运行的空调机组的远程调试程序，所述处理器执行所述空调机组的远程调试程序时，实现根据权利要求1-14中任一项所述的空调机组的远程调试方法。
  17. 计算机可读存储介质，其上存储有空调机组的远程调试程序，该空调机组的远程调试程序被处理器执行时实现根据权利要求1-14中任一项所述的空调机组的远程调试方法。
PCT/CN2023/074645 2022-02-15 2023-02-06 空调机组及其远程调试方法和远程调试装置 WO2023155701A1 (zh)

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