Vehicle air conditioning system remote diagnosis method and system, platform and storage medium
The data of the excavator air conditioning system is obtained through the vehicle terminal and remote diagnosis is used by the Internet of Things platform, which solves the problems of inaccurate diagnosis of air conditioning systems in the existing technology and achieves more efficient and accurate fault detection and processing.
Patent Information
- Application Number
- PCT/CN2024/094147
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2023-09-05
- Filing Date
- 2024-05-20
- Publication Date
- 2025-03-13
AI Technical Summary
When diagnosing the failure of the excavator air conditioning system, customer service personnel need to conduct on-site inspections, resulting in wasted time and inaccurate diagnosis.
The setting information, operation data and environmental data of the air conditioning system are obtained through the on-board terminal, and the Internet of Things platform is used to determine whether the return air temperature meets the preset conditions within the set operation time, determine whether the air conditioning system is abnormal, and output early warning information or prompt information.
It improves the accuracy and timeliness of air conditioning system fault diagnosis, and reduces the time and labor and material consumption of on-site inspections.
Smart Images

Figure CN2024094147_13032025_PF_FP_ABST
Abstract
Description
Vehicle air conditioning system remote diagnosis method, system, platform and storage medium
[0001] CROSS-REFERENCE TO RELATED APPLICATIONS
[0002] This application is based on the application with CN application number 202311141962.4 and application date September 5, 2023, and claims its priority. The disclosed content of the CN application is hereby introduced as a whole into this application. Technical Field
[0003] The present disclosure relates to the field of engineering machinery, and in particular to a remote diagnosis method, system, platform, and storage medium for a vehicle air-conditioning system. Background Art
[0004] As excavator operators are becoming younger and younger, their requirements for the comfort of the cab system are also getting higher and higher, and their expectations for the reliability of the cab system components are also getting higher and higher. When the excavator is working, the operator spends most of the time in the cab, so the comfort of the air-conditioning system directly determines the comfort of the entire cab system.
[0005] When the cooling or heating performance of the excavator's air-conditioning system does not meet the requirements, the driver needs to report the problem to the local customer service personnel. After receiving the report, the customer service personnel will arrive at the customer's site within the specified time limit with pressure gauges, refrigerants and other maintenance and inspection tools to check whether the air volume, temperature and circulation mode set by the user are abnormal, use a pressure gauge to detect the high and low pressure of the system, feel the temperature of the refrigerant pipe on site, and check the dirt and blockage of the condenser on site. Based on the above conditions, the possible faults of the air-conditioning system can be judged.
[0006] Summary of the Invention
[0007] According to one aspect of the present disclosure, a method for remote diagnosis of a vehicle air-conditioning system is proposed, comprising: obtaining setting information, operating data, and environmental data of the air-conditioning system through an on-board terminal; and determining whether the air-conditioning system is abnormal based on one or more of the setting information, operating data, and environmental data when the return air temperature does not meet a preset condition within a set operating time.
[0008] In some embodiments, user repair information is obtained; the setting abnormality type of the air-conditioning system is determined based on the setting information; and if the user repair information matches the setting abnormality type of the air-conditioning system, a warning message or prompt message is output.
[0009] In some embodiments, the setting information includes at least one of the air volume level and the set temperature, wherein determining whether the air-conditioning system is abnormal includes: determining that the air volume does not meet the requirements according to the air volume level, or determining that the indoor temperature does not meet the requirements according to the set temperature. If no user repair information is received, it is confirmed that the air-conditioning system is not abnormally set; if a user repair information is received, it is confirmed that the air-conditioning system is abnormally set.
[0010] In some embodiments, the setting information also includes a circulation mode, wherein determining whether the air-conditioning system is abnormal also includes: when the circulation mode is external circulation, if no user repair information is received, confirming that the air-conditioning system is not abnormally set; if a user repair information is received, confirming that the air-conditioning system is abnormally set.
[0011] In some embodiments, the setting information includes an operating mode. When the operating mode is a cooling mode, the operating data includes at least one of refrigerant pressure, condenser headwind speed, condenser wind pressure, refrigerant subcooling, and refrigerant superheating. Determining whether the air-conditioning system is abnormal includes: determining that the air-conditioning system is faulty when at least one of the condenser wind pressure, condenser headwind speed, refrigerant pressure, refrigerant subcooling, and refrigerant superheating does not meet the requirements.
[0012] In some embodiments, the setting information includes an operating mode, wherein when the operating mode is a heating mode, the environmental data includes water temperature, and determining whether the air-conditioning system is abnormal includes: determining that the air-conditioning system is faulty when the water temperature does not meet the requirements.
[0013] In some embodiments, the environmental data includes the ambient temperature and the return air temperature, and the setting information includes the operating time. Specifically, when the ambient temperature is within the preset ambient temperature range, if the return air temperature of the air-conditioning system within the set operating time does not meet the preset conditions, then it is determined whether the air-conditioning system is abnormal based on the setting information, operating data and environmental data.
[0014] In some embodiments, when it is confirmed that the air-conditioning system is abnormally set or malfunctions, an early warning message or a prompt message is sent to at least one of the vehicle instrument, the customer service terminal and the user terminal.
[0015] In some embodiments, one or more of the setup information, operational data, and environmental data are sent to a display device for display.
[0016] According to another aspect of the present disclosure, an Internet of Things platform is also proposed, including: an information acquisition module, configured to obtain setting information, operating data and environmental data of the vehicle's air-conditioning system through an on-board terminal; and a fault judgment module, configured to determine whether the air-conditioning system is abnormal based on one or more of the setting information, operating data and environmental data when the return air temperature does not meet the preset conditions within the set operating time.
[0017] According to another aspect of the present disclosure, an Internet of Things platform is provided, including: a memory; and a processor coupled to the memory, wherein the processor is configured to execute the above-mentioned vehicle air conditioning system remote diagnosis method based on instructions stored in the memory.
[0018] According to another aspect of the present disclosure, a vehicle air-conditioning system remote diagnosis system is also proposed, including: the above-mentioned Internet of Things platform; the air-conditioning system; and a vehicle-mounted terminal, which is configured to obtain one or more of the setting information, operating data and environmental data of the air-conditioning system, and send one or more of the setting information, operating data and environmental data to the Internet of Things platform.
[0019] In some embodiments, the vehicle air-conditioning system remote diagnosis system also includes: an on-board instrument, configured to obtain one or more of the setting information, operating data and environmental data of the air-conditioning system, and send one or more of the setting information, operating data and environmental data to the on-board terminal, so that the on-board terminal sends one or more of the setting information, operating data and environmental data to the Internet of Things platform, and receives early warning information or prompt information sent by the Internet of Things platform.
[0020] In some embodiments, the vehicle air-conditioning system remote diagnostic system further includes at least one of a water temperature sensor, a wind speed sensor, a wind pressure sensor, a refrigerant temperature sensor, a pressure sensor and a display terminal, wherein the water temperature sensor is configured to detect the water temperature; the wind speed sensor is configured to detect the wind speed against the condenser; the wind pressure sensor is configured to detect the pressure difference between the inlet and outlet air of the condenser; the refrigerant temperature sensor is configured to detect the refrigerant temperature in the refrigerant pipe; the pressure sensor is configured to detect the refrigerant pressure in the refrigerant pipe; and the display terminal is configured to display one or more of the setting information, operating data and environmental data.
[0021] According to another aspect of the present disclosure, a computer-readable storage medium is provided, on which computer program instructions are stored. When the instructions are executed by a processor, the above-mentioned vehicle air-conditioning system remote diagnosis method is implemented.
[0022] According to another aspect of the present disclosure, a computer program is provided, comprising: instructions, which, when executed by a processor, cause the processor to execute the above-mentioned vehicle air conditioning system remote diagnosis method.
[0023] Other features and advantages of the present disclosure will become apparent from the following detailed description of exemplary embodiments of the present disclosure with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS
[0024] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the present disclosure and, together with the description, serve to explain the principles of the present disclosure.
[0025] The present disclosure can be more clearly understood from the following detailed description with reference to the accompanying drawings, in which:
[0026] FIG1 is a flow chart of some embodiments of the vehicle air conditioning system remote diagnosis method disclosed herein;
[0027] FIG2 is a flow chart of other embodiments of the vehicle air conditioning system remote diagnosis method disclosed herein;
[0028] FIG3 is a flow chart of other embodiments of the vehicle air conditioning system remote diagnosis method disclosed herein;
[0029] FIG4 is a flowchart of other embodiments of the vehicle air conditioning system remote diagnosis method disclosed herein;
[0030] FIG5 is a schematic diagram of the structure of some embodiments of the Internet of Things platform disclosed herein;
[0031] FIG6 is a schematic structural diagram of other embodiments of the Internet of Things platform disclosed herein;
[0032] FIG7 is a schematic structural diagram of other embodiments of the Internet of Things platform disclosed herein;
[0033] FIG8 is a schematic structural diagram of some embodiments of the vehicle air conditioning system remote diagnosis system disclosed herein; and
[0034] FIG9 is a schematic structural diagram of other embodiments of the vehicle air conditioning system remote diagnosis system disclosed herein. DETAILED DESCRIPTION
[0035] Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that unless otherwise specifically stated, the relative arrangement of components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present disclosure.
[0036] At the same time, it should be understood that for the convenience of description, the sizes of the various parts shown in the drawings are not drawn according to the actual proportional relationship.
[0037] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the present disclosure, its application, or uses.
[0038] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered part of the specification.
[0039] In all examples shown and discussed herein, any specific values should be interpreted as merely exemplary and not limiting. Therefore, other examples of the exemplary embodiments may have different values.
[0040] It should be noted that like reference numerals and letters refer to like items in the following figures, and therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.
[0041] In order to make the objectives, technical solutions and advantages of the present disclosure more clearly understood, the present disclosure is further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.
[0042] In the prior art, the process from user reporting a problem to diagnosing the cause of an air conditioning malfunction requires coordination with available customer service personnel. After receiving instructions, the customer service personnel prepare tools and travel to the site. Inexperienced personnel also require repeated verification, wasting significant time, manpower, and resources. This results in limited timeliness of air conditioning service and accuracy of fault diagnosis. The present disclosure provides a method, system, platform, and storage medium for remote diagnosis of vehicle air conditioning systems, which improve service effectiveness and timeliness. The following describes the technical solutions of the present disclosure using specific embodiments as examples.
[0043] FIG1 is a flow chart of some embodiments of the vehicle air conditioning system remote diagnosis method disclosed herein, which is executed by an Internet of Things platform and includes steps 110 - 120 .
[0044] In step 110 , the setting information, operating data, and environmental data of the air-conditioning system are acquired through the vehicle-mounted terminal.
[0045] In some embodiments, a CAN (Controller Area Network) communication module is set in the air-conditioning system, and the setting information, operating data, and environmental data of the air-conditioning system are sent to the vehicle-mounted instrument through the CAN communication module. The vehicle-mounted instrument sends the setting information, operating data, and environmental data to the vehicle-mounted terminal. The vehicle-mounted terminal can directly obtain water temperature data through the water temperature sensor and directly obtain the condenser headwind speed through the wind speed sensor. Therefore, the directly obtained water temperature data, condenser headwind speed and other data and the data sent by the vehicle-mounted instrument can be sent to the Internet of Things platform.
[0046] In some embodiments, the configuration information includes manually set information such as power-on time, operating duration, operating mode, circulation mode, set temperature, and air volume level. Operational data includes air conditioner operating data such as condenser headwind speed, refrigerant pressure, condenser air pressure, refrigerant subcooling, and refrigerant superheat. Environmental data includes external environmental data such as ambient temperature, return air temperature, and water temperature.
[0047] Air conditioning system data is automatically uploaded to the IoT display platform, which provides comprehensive visibility into all aspects of the system. This allows technicians to gain real-time insights into the operating status of each air conditioner without having to visit the site, significantly reducing service time and saving manpower and resources.
[0048] In some embodiments, the vehicle is an industrial vehicle such as an excavator.
[0049] In step 120 , if the return air temperature does not meet the preset condition within the set operating time, it is determined whether the air conditioning system is abnormal based on one or more of the setting information, operating data, and environmental data.
[0050] In some embodiments, the IoT platform can also import user repair reports. Based on these reports, settings, operating data, and environmental data, the IoT platform can determine whether the air conditioning system is configured abnormally or experiencing a malfunction. For example, the IoT platform can collate all data and perform logical analysis. For abnormal data, combined with the user repair report, the platform can automatically determine whether to send an alert or notification to the vehicle's instrument panel, a customer service representative's terminal, or the user's mobile phone.
[0051] In the above embodiment, the Internet of Things platform obtains various data of the air-conditioning system in real time, and when the return air temperature does not meet the preset conditions, it makes a timely judgment on the abnormal situation of the air-conditioning system based on the obtained data, which can improve the effectiveness and timeliness of the service.
[0052] FIG2 is a flow chart of another embodiment of the vehicle air conditioning system remote diagnosis method disclosed herein, which includes steps 210 - 230 .
[0053] In step 210, user repair information is obtained.
[0054] In some embodiments, the IoT platform can import user repair report information.
[0055] In step 220 , the type of abnormality in the setting of the air conditioning system is determined based on the setting information.
[0056] For example, if the air volume can be used to identify whether the air volume level setting is abnormal, the indoor temperature can be used to identify whether the temperature setting is incorrect, and the circulation mode can be used to determine whether the external circulation setting is abnormal.
[0057] In step 230, if the user's repair report information matches the setting abnormality type of the air-conditioning system, an early warning message or a prompt message is output.
[0058] For example, early warning information or prompt information is sent to vehicle instruments, customer service terminals, user terminals, etc., for example, to remind users or customer service to adjust settings or maintain related components.
[0059] In the above embodiment, matching user repair reports related to the air conditioning system with the type of abnormal settings initially identified by the platform can improve the accuracy and timeliness of abnormality identification. For those unfamiliar with indoor air conditioning system operation, the IoT platform can send prompts or warnings, instructing users to reset the air conditioning parameters.
[0060] FIG3 is a flow chart of another embodiment of the vehicle air conditioning system remote diagnosis method disclosed herein, which includes steps 310 - 330 .
[0061] In step 310 , when the ambient temperature is within the preset ambient temperature range, it is determined whether the return air temperature of the air conditioning system within the set operating time meets the preset conditions. If so, step 320 is executed; otherwise, step 330 is executed.
[0062] In some embodiments, the air conditioner includes a cooling mode and a heating mode. In the cooling mode, if the ambient temperature is between T1° and T2°, and the return air temperature is less than or equal to N1°C during the set operating time, it is indicated that the return air temperature meets the preset condition. In the heating mode, if the ambient temperature is between T3° and T4°, and the return air temperature is greater than or equal to N2°C during the set operating time, it is indicated that the return air temperature meets the preset condition.
[0063] The N1°C and N2°C can be temperatures set by the user.
[0064] At step 320 , it is determined that the air conditioning system has no abnormal settings or malfunctions.
[0065] In step 330, it is determined whether the air conditioning system is abnormally configured or malfunctions based on the user's repair information, setting information, operating data, and environmental data.
[0066] In the above embodiment, various data information of the air-conditioning system is automatically uploaded to the Internet of Things platform, and user repair information related to the air-conditioning system is uploaded to the Internet of Things platform and matched with the monitored data of the corresponding air-conditioning, thereby improving the accuracy of fault diagnosis and the timeliness of service.
[0067] In some embodiments of the present disclosure, when it is determined based on the air volume level that the air volume does not meet the requirements, or when it is determined based on the set temperature that the indoor temperature does not meet the requirements, if no user repair information is received, it is confirmed that the air-conditioning system is not abnormally set; if a user repair information is received, it is confirmed that the air-conditioning system is abnormally set.
[0068] For example, after the user sets the air volume level, if the air volume meets the requirements, it means that the air volume level of the air conditioning system is set normally; if the air volume does not meet the requirements, but the user has not reported it for maintenance, it means that the air volume or temperature is within the user's acceptable range and there is no need to adjust the air volume level, and there is no need to output an early warning or prompt message; if the air volume does not meet the requirements and the user reports it for maintenance, it means that the air volume level of the air conditioning system may be set incorrectly.
[0069] For another example, after the user sets the temperature, if the detected indoor temperature meets the requirements, it means that the set temperature of the air-conditioning system is normal; if the temperature does not meet the requirements, but the user has not reported it for maintenance, the indoor temperature is within the user's acceptable range and there is no need to adjust the set temperature. At this time, the air-conditioning system is not faulty and there is no need to output an early warning or prompt message; if the temperature does not meet the requirements and the user reports it for maintenance, it means that the set temperature of the air-conditioning system is incorrect.
[0070] In some embodiments of the present disclosure, when the circulation mode is external circulation, if no user repair information is received, it is confirmed that the air-conditioning system is not abnormally set; if a user repair information is received, it is confirmed that the air-conditioning system is abnormally set.
[0071] For example, after the user sets the circulation mode, if the circulation mode is internal circulation, it means that the circulation mode is not set abnormally; if the circulation mode is external circulation, but the user has not reported maintenance, it means that the circulation mode is also set correctly, and the user is assumed to accept the existing circulation mode without outputting warning or prompt information; if the circulation mode is external circulation and the user reports maintenance, it means that the circulation mode is set incorrectly, and the user is reminded in time to change the circulation mode to internal circulation.
[0072] In some embodiments of the present disclosure, when the operating mode of the air-conditioning system is cooling mode, the operating data of the air-conditioning system includes refrigerant pressure, condenser headwind speed, condenser wind pressure, refrigerant subcooling, refrigerant superheating, etc.
[0073] When at least one of the condenser wind pressure, the condenser headwind speed, the refrigerant pressure, the refrigerant subcooling degree, and the refrigerant superheating degree does not meet the requirements, it is determined that the air conditioning system is faulty.
[0074] For example, if the condenser wind pressure meets the pressure difference requirement, it means that the equipment related to the condenser wind pressure is not faulty. If the condenser wind pressure does not meet the pressure difference requirement, it means that the equipment related to the condenser wind pressure is faulty.
[0075] For another example, if the wind speed upwind of the condenser meets the wind speed requirement, it means that the equipment related to the wind speed upwind of the condenser is not faulty; if the wind speed upwind of the condenser does not meet the wind speed requirement, it means that the equipment related to the wind speed upwind of the condenser is faulty.
[0076] For another example, if the superheat or subcooling of the refrigerant is within the preset range and the refrigerant pressure is within the pressure calibration value range, it means that there is no problem with the refrigerant; if the superheat or subcooling of the refrigerant exceeds the preset range, or the refrigerant pressure exceeds the pressure calibration value range, it means that the refrigerant-related equipment has a fault.
[0077] In other embodiments of the present disclosure, when the operating mode is the heating mode, the environmental data includes the water temperature, and when the water temperature does not meet the requirements, it is determined that the air-conditioning system is faulty.
[0078] For example, if the water temperature meets the requirements, it means that there is no problem with the water temperature; if the water temperature does not meet the requirements, it means that the equipment related to the water temperature is faulty.
[0079] In the related art, only the cooling failure of the air-conditioning system can be diagnosed, but the heating failure cannot be diagnosed. In this embodiment, in the heating mode, the Internet of Things platform will also obtain the water temperature data information entering the air-conditioning host to diagnose the heating failure.
[0080] In some embodiments of the present disclosure, the IoT platform sends one or more of the setting information, operating data, and environmental data to a display device for display.
[0081] For example, the IoT platform uses graphical curves to visually display the local ambient temperature of the location where the air-conditioning system's machines are located, and the curve of the return air temperature of each air-conditioning system changing over time. It also displays all data information related to the air-conditioning system, so that technicians can understand the current operating status of the air-conditioning system and potential causes of failure at a glance through the displayed information.
[0082] FIG4 is a flow chart of another embodiment of the vehicle air conditioning system remote diagnosis method disclosed herein, including steps 410 - 434 .
[0083] In step 410 , the air conditioner in the vehicle is started. If the air conditioner is in cooling mode, step 420 is executed. If the air conditioner is in heating mode, step 430 is executed.
[0084] As soon as the air conditioner is turned on, the IoT platform will obtain user-defined information such as the power-on time, operating hours, operating mode, circulation mode, set temperature, air volume level, and other information, as well as environmental information such as the outdoor ambient temperature and indoor return air temperature. In cooling mode, the IoT platform will also obtain data such as the air conditioning system's refrigerant pressure, condenser air pressure, refrigerant subcooling, refrigerant superheat, and condenser headwind speed. In heating mode, in addition to obtaining data such as the air conditioner's power-on time, operating hours, ambient temperature, return air temperature, set temperature, and operating mode, the IoT platform also obtains data on the water temperature entering the air conditioner main unit. The IoT platform's monitoring data is more comprehensive and multi-dimensional, which facilitates accurate fault diagnosis and reduces service iterations.
[0085] In step 420 , the set operating time is reached and the ambient temperature is between T1° and T2°.
[0086] In step 421 , it is determined whether the return air temperature is less than or equal to N1° C. If so, step 422 is executed; otherwise, step 423 is executed.
[0087] In step 422, the air conditioning system is qualified and the task ends.
[0088] In step 423, based on the user's repair information, determine whether the air volume level, set temperature, and circulation mode are set incorrectly, or confirm whether the air conditioning system is faulty based on the condenser wind pressure, condenser headwind speed, refrigerant superheat, refrigerant subcooling, and refrigerant pressure.
[0089] In step 424, in the event of a setting error or air conditioning system failure, an early warning message or prompt message is sent via the vehicle instrument, customer service terminal, or user terminal.
[0090] In step 430 , the set operating time is reached and the ambient temperature is between T3° and T4°.
[0091] In step 431 , it is determined whether the return air temperature is greater than N2° C. If so, step 432 is executed; otherwise, step 433 is executed.
[0092] In step 432, the air conditioning system is qualified and the task ends.
[0093] In step 433, based on the user's repair information, it is determined whether the air volume level, set temperature, and circulation mode are set incorrectly, or whether the air conditioning system is faulty based on the water temperature.
[0094] In step 434, in the event of a setting error or air conditioning system failure, an early warning message or prompt message is sent via the vehicle instrument, customer service terminal, or user terminal.
[0095] Customer service or users can display the received air-conditioning system operating status and warning information through the vehicle instrument or mobile client.
[0096] In the above embodiment, technicians do not need to arrive at the site to fully and three-dimensionally understand the operating status of each air conditioner in real time through the Internet of Things platform. Since the data is more comprehensive and three-dimensional, it is more conducive to the accuracy of fault diagnosis, and greatly shortens the service time and saves manpower and material resources.
[0097] FIG5 is a schematic structural diagram of some embodiments of the Internet of Things platform disclosed herein, which includes an information acquisition module 510 and a fault judgment module 520 .
[0098] The information acquisition module 510 is configured to acquire setting information, operating data, and environmental data of the vehicle's air conditioning system through the vehicle terminal.
[0099] In some embodiments, once the air conditioner is turned on, the IoT platform can retrieve relevant data about the air conditioning system. Settings include information such as power-on time, operating duration, operating mode, circulation mode, set temperature, and air volume level. Operational data includes air conditioner operating data such as condenser headwind speed, refrigerant pressure, condenser air pressure, refrigerant subcooling, and refrigerant superheat. Environmental data includes external environmental data such as ambient temperature, return air temperature, and water temperature.
[0100] In some embodiments, the information acquisition module 510 is further configured to acquire user repair information.
[0101] The fault judgment module 520 is configured to determine whether the air conditioning system is abnormal based on one or more of the setting information, operating data and environmental data when the return air temperature does not meet the preset conditions within the set operating time.
[0102] In some embodiments, the fault judgment module 520 is also configured to determine whether the air-conditioning system is abnormal based on the setting information, operating data and environmental data if the return air temperature of the air-conditioning system does not meet the preset conditions within the set operating time when the ambient temperature is within the preset ambient temperature range.
[0103] In some embodiments, the exceptions include setup exceptions and fault exceptions.
[0104] In some embodiments, the fault judgment module 520 is further configured to determine the setting abnormality type of the air-conditioning system based on the setting information; if the user repair information matches the setting abnormality type of the air-conditioning system, an early warning message or prompt message is output.
[0105] In some embodiments, the fault judgment module 520 is also configured to determine that the air volume does not meet the requirements based on the air volume level, or that the indoor temperature does not meet the requirements based on the set temperature. If no user repair information is received, it is confirmed that the air-conditioning system is not abnormally set; if a user repair information is received, it is confirmed that the air-conditioning system is abnormally set.
[0106] In some embodiments, the fault judgment module 520 is further configured to, when the circulation mode is external circulation, confirm that the air conditioning system is not abnormally set if no user repair information is received, and confirm that the air conditioning system is abnormally set if a user repair information is received.
[0107] In some embodiments, in cooling mode, the fault judgment module 520 is further configured to determine that the air conditioning system is faulty when at least one of the condenser wind pressure, condenser headwind speed, refrigerant pressure, refrigerant subcooling, and refrigerant superheating does not meet the requirements.
[0108] In some embodiments, in the heating mode, the fault determination module 520 is further configured to determine that the air conditioning system is faulty if the water temperature does not meet the requirement.
[0109] In some embodiments of the present disclosure, as shown in FIG6 , the vehicle air-conditioning system remote diagnosis system further includes an information sending module 610 .
[0110] The information sending module 610 is configured to send warning information or prompt information to at least one of the vehicle instrument, the customer service terminal and the user terminal when it is confirmed that the air conditioning system is abnormal or faulty.
[0111] The information sending module 610 is further configured to send one or more of the setting information, operating data, and environmental data to a display device for display. The technician can clearly understand the current operating status of the air conditioning system and potential fault causes through the displayed information.
[0112] In the above embodiment, the technicians can understand the operating status of each air conditioner in real time without arriving at the site, which greatly shortens the service time and saves manpower and material resources.
[0113] FIG7 is a schematic diagram of the structure of another embodiment of the IoT platform disclosed herein. The IoT platform 700 includes a memory 710 and a processor 720. The memory 710 may be a disk, flash memory, or any other non-volatile storage medium. The memory 710 is used to store the instructions described in the above embodiments. The processor 720 is coupled to the memory 710 and may be implemented as one or more integrated circuits, such as a microprocessor or microcontroller. The processor 720 is used to execute the instructions stored in the memory.
[0114] In some embodiments, the processor 720 is coupled to the memory 710 via a BUS 730. The IoT platform 700 may also be connected to an external storage device 750 via a storage interface 740 to access external data, and may also be connected to a network or another computer system (not shown) via a network interface 760, which will not be described in detail here.
[0115] In this embodiment, the data instructions are stored in the memory and then processed by the processor, thereby improving the accuracy of fault judgment and the timeliness of service.
[0116] FIG8 is a schematic structural diagram of some embodiments of the vehicle air-conditioning system remote diagnosis system disclosed herein, which includes an Internet of Things platform 810 , an air-conditioning system 820 , and a vehicle terminal 830 .
[0117] The IoT platform 810 has been described in detail in the above embodiments and will not be further elaborated here. The air conditioning system 820 includes a compressor, a condenser, a drying bottle, an air conditioning unit, an exhaust pipe, a liquid pipe, an intake pipe, and a CAN communication module. A wind pressure sensor is used to detect the differential pressure of the condenser's inlet and outlet air, a refrigerant temperature sensor is used to detect the refrigerant temperature in the refrigerant pipe, a pressure sensor is used to detect the refrigerant pressure in the refrigerant pipe, and an air temperature sensor is used to detect the return air temperature.
[0118] In some embodiments, as shown in FIG9 , a CAN communication module 910 is provided in the air conditioning system, so that user-set information such as the air conditioning power-on time, operating time, operating mode, circulation mode, set temperature, air volume level, and so on, as well as environmental information such as the outdoor ambient temperature and indoor return air temperature, and operating data such as the refrigerant pressure, condenser air pressure, refrigerant subcooling, and refrigerant superheat can be transmitted to the vehicle terminal 830 via the vehicle instrument 920. The vehicle terminal 830 can also directly obtain water temperature detected by the water temperature sensor and condenser headwind speed information detected by the wind speed sensor.
[0119] The vehicle terminal 830 sends the acquired information to the IoT platform, which then comprehensively determines whether the air conditioning system is abnormally configured or malfunctioning. The vehicle instrument 920 is also configured to receive warning information or prompt information sent by the IoT platform.
[0120] In some embodiments, the system may further include a display terminal 930 , which is a user terminal or a client terminal configured to display one or more items of setting information, operating data, and environmental data.
[0121] In some embodiments, the display terminal 930 is further configured to intuitively display the curves of the local ambient temperature and the return air temperature of each air conditioning system changing over time in the form of graphical curves.
[0122] In some embodiments, the vehicle instrument 920 is further configured to display one or more of setting information, operating data, and environmental data.
[0123] In the above embodiment, the vehicle air-conditioning system remote diagnosis system can realize remote diagnosis of the air-conditioning system. Technicians can understand the operating status of each air conditioner in real time without arriving at the site, which greatly shortens the service time, saves manpower and material resources, and improves the accuracy of fault diagnosis.
[0124] In other embodiments, a computer-readable storage medium stores computer program instructions thereon, which, when executed by a processor, implement the steps of the method in the above-described embodiment. Those skilled in the art will appreciate that the embodiments of the present disclosure may be provided as methods, devices, or computer program products. Therefore, the present disclosure may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present disclosure may take the form of a computer program product implemented on one or more computer-usable non-transient storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0125] In some embodiments of the present disclosure, a computer program is further provided, comprising: instructions, which, when executed by a processor, cause the processor to perform the method described above.
[0126] The present disclosure is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present disclosure. It should be understood that each process and / or box in the flowchart and / or block diagram and the combination of the processes and / or boxes in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate a device for implementing the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.
[0127] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a product including an instruction device that implements the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.
[0128] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.
[0129] The present disclosure has been described in detail so far. To avoid obscuring the concept of the present disclosure, some details known in the art have not been described. Based on the above description, those skilled in the art can fully understand how to implement the technical solutions disclosed herein.
[0130] The methods and apparatus of the present disclosure may be implemented in many ways. For example, the methods and apparatus of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above order of steps for the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above, unless otherwise specifically stated. In addition, in some embodiments, the present disclosure may also be implemented as programs recorded in a recording medium, which include machine-readable instructions for implementing the methods according to the present disclosure. Therefore, the present disclosure also covers recording media that store programs for executing the methods according to the present disclosure.
[0131] Although some specific embodiments of the present disclosure have been described in detail by way of examples, those skilled in the art will appreciate that the above examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Those skilled in the art will appreciate that modifications may be made to the above embodiments without departing from the scope of the present disclosure. The scope of the present disclosure is defined by the appended claims.
Claims
1. A remote diagnosis method for a vehicle air conditioning system, comprising: Obtain the setting information, operation data and environmental data of the air conditioning system through the vehicle terminal; as well as When the return air temperature does not meet the preset condition within the set operating time, it is determined whether the air conditioning system is abnormal based on one or more of the setting information, operating data and environmental data.
2. The vehicle air conditioning system remote diagnosis method according to claim 1, further comprising: Obtain user repair information; Determining, according to the setting information, a setting abnormality type of the air conditioning system; as well as If the user repair information matches the setting abnormality type of the air-conditioning system, an early warning message or a prompt message is output.
3. The vehicle air conditioning system remote diagnosis method according to claim 1 or 2, wherein: The setting information includes at least one of an air volume level and a set temperature, wherein determining whether the air conditioning system is abnormal includes: When it is determined according to the air volume level that the air volume does not meet the requirement, or when it is determined according to the set temperature that the indoor temperature does not meet the requirement, if no user repair information is received, it is confirmed that the air-conditioning system is not abnormally set; if the user repair information is received, it is confirmed that the air-conditioning system is abnormally set.
4. The vehicle air conditioning system remote diagnosis method according to claim 3, wherein: The setting information also includes a circulation mode, wherein determining whether the air conditioning system is abnormal further includes: When the circulation mode is external circulation, if the user repair information is not received, it is confirmed that the air-conditioning system is not abnormally set; if the user repair information is received, it is confirmed that the air-conditioning system is abnormally set.
5. The vehicle air conditioning system remote diagnosis method according to any one of claims 1 to 4, wherein: The setting information includes an operation mode. When the operation mode is a cooling mode, the operation data includes at least one of refrigerant pressure, condenser wind speed, condenser wind pressure, refrigerant subcooling, and refrigerant superheating. Determining whether the air conditioning system is abnormal includes: When at least one of the condenser wind pressure, the condenser headwind wind speed, the refrigerant pressure, the refrigerant subcooling degree, and the refrigerant superheating degree does not meet the requirements, it is determined that the air conditioning system is faulty.
6. The vehicle air conditioning system remote diagnosis method according to any one of claims 1 to 5, wherein: The setting information includes an operation mode, wherein when the operation mode is a heating mode, the environmental data includes a water temperature, and determining whether the air conditioning system is abnormal includes: When the water temperature does not meet the requirement, it is determined that the air conditioning system fails.
7. The vehicle air conditioning system remote diagnosis method according to any one of claims 1 to 6, wherein: The environmental data includes the ambient temperature and the return air temperature, and the setting information includes the operating time, wherein: When the ambient temperature is within a preset ambient temperature range, if the return air temperature of the air conditioning system does not meet a preset condition within a set operating period, it is determined whether the air conditioning system is abnormal based on the setting information, operating data and environmental data.
8. The vehicle air conditioning system remote diagnosis method according to any one of claims 1 to 7, further comprising: When it is confirmed that the air conditioning system is abnormally set or fails, a warning message or a prompt message is sent to at least one of the vehicle instrument, the customer service terminal and the user terminal.
9. The vehicle air conditioning system remote diagnosis method according to any one of claims 1 to 8, further comprising: One or more of the setting information, operating data and environmental data are sent to a display device for display.
10. An Internet of Things platform, comprising: An information acquisition module, configured to acquire setting information, operation data and environmental data of the vehicle's air conditioning system through the vehicle terminal; as well as The fault judgment module is configured to determine whether the air conditioning system is abnormal based on one or more of the setting information, operating data and environmental data when the return air temperature does not meet the preset conditions within the set operating time.
11. An Internet of Things platform, comprising: Memory; as well as A processor coupled to the memory, wherein the processor is configured to execute the vehicle air conditioning system remote diagnosis method according to any one of claims 1 to 9 based on instructions stored in the memory.
12. A vehicle air conditioning system remote diagnosis system, comprising: The Internet of Things platform according to claim 10 or 11; Air conditioning system; as well as The vehicle-mounted terminal is configured to obtain one or more of the setting information, operating data and environmental data of the air-conditioning system, and send one or more of the setting information, operating data and environmental data to the Internet of Things platform.
13. The vehicle air conditioning system remote diagnosis system according to claim 12, further comprising: The vehicle-mounted instrument is configured to obtain one or more of the setting information, operating data and environmental data of the air-conditioning system, and send one or more of the setting information, operating data and environmental data to the vehicle-mounted terminal, so that the vehicle-mounted terminal sends one or more of the setting information, operating data and environmental data to the Internet of Things platform, and receives early warning information or prompt information sent by the Internet of Things platform.
14. The vehicle air conditioning system remote diagnosis system according to claim 12 or 13, further comprising at least one of a water temperature sensor, a wind speed sensor, a wind pressure sensor, a refrigerant temperature sensor, a pressure sensor and a display terminal, wherein: The water temperature sensor is configured to detect water temperature; The wind speed sensor is configured to detect the wind speed against the condenser; The wind pressure sensor is configured to detect the pressure difference between the inlet and outlet winds of the condenser; The refrigerant temperature sensor is configured to detect the refrigerant temperature in the refrigerant pipe; The pressure sensor is configured to detect the refrigerant pressure in the refrigerant pipe; as well as The display terminal is configured to display one or more of the setting information, operation data and environmental data.
15. A computer-readable storage medium having computer program instructions stored thereon, wherein the instructions, when executed by a processor, implement the vehicle air conditioning system remote diagnosis method according to any one of claims 1 to 9.
16. A computer program comprising: Instructions, when executed by a processor, cause the processor to execute the vehicle air conditioning system remote diagnosis method according to any one of claims 1 to 9.
Citation Information
Patent Citations
Artificial intelligence early warning system
CN109447048A
Automobile air conditioner diagnosis method and system and storage medium
CN111002785A
Remote diagnosis method, system and platform for vehicle air conditioning system and storage medium
CN116872685A
Air conditioner for vehicle
JP1997207541A
Low-pressure pipeline pressure protection device for air-conditioning system
TWM635957U