WO2026026164A1 - 电机诊断方法、装置、电机诊断设备及电机诊断系统 - Google Patents

电机诊断方法、装置、电机诊断设备及电机诊断系统

Info

Publication number
WO2026026164A1
WO2026026164A1 PCT/CN2025/096833 CN2025096833W WO2026026164A1 WO 2026026164 A1 WO2026026164 A1 WO 2026026164A1 CN 2025096833 W CN2025096833 W CN 2025096833W WO 2026026164 A1 WO2026026164 A1 WO 2026026164A1
Authority
WO
WIPO (PCT)
Prior art keywords
motor
description information
fault
target
electronic device
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
PCT/CN2025/096833
Other languages
English (en)
French (fr)
Inventor
王宇航
杨飞
杨超
刘哲江
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhongshan Broad Ocean Motor Co Ltd
Original Assignee
Zhongshan Broad Ocean Motor Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhongshan Broad Ocean Motor Co Ltd filed Critical Zhongshan Broad Ocean Motor Co Ltd
Publication of WO2026026164A1 publication Critical patent/WO2026026164A1/zh
Pending legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/243—Classification techniques relating to the number of classes
    • G06F18/2433—Single-class perspective, e.g. one-against-all classification; Novelty detection; Outlier detection
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/34—Testing dynamo-electric machines
    • G01R31/343—Testing dynamo-electric machines in operation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/042—Knowledge-based neural networks; Logical representations of neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/044—Recurrent networks, e.g. Hopfield networks
    • G06N3/0442—Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0475—Generative networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/048—Activation functions
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/094—Adversarial learning

Definitions

  • This invention relates to the field of motor diagnostic technology, specifically to motor diagnostic methods, devices, equipment, and systems.
  • motors are often installed in hard-to-maintain locations such as rooftops and interior/exterior walls, along with the main unit.
  • motor manufacturers fill the motor controller with adhesive and securely mount it to the motor structure. Only a communication cable is led out from the controller, along with the power supply and control wiring harness, through pre-drilled holes in the structure. This cable is used to provide feedback on motor operation information to the air conditioning mainboard or other control boards.
  • the present invention provides a motor diagnostic method, apparatus, equipment, and system to solve the problem of how to diagnose motors.
  • the present invention provides a motor diagnostic method applied to a motor diagnostic device in a motor diagnostic system.
  • the motor diagnostic system includes a motor device, a motor diagnostic device, and electronic equipment.
  • the motor device is communicatively connected to the motor diagnostic device, and the motor diagnostic device is communicatively connected to the electronic equipment.
  • the method includes:
  • the target fault description information and operating data are transmitted to the electronic device so that the electronic device can display the target fault description information and operating data.
  • the motor diagnostic method provided in this application receives operating data and an initial fault identifier from a motor device. It analyzes the initial fault identifier to determine the target fault description information corresponding to the motor device, ensuring the accuracy of the determined target fault description information and thus achieving motor diagnosis. Then, the target fault description information and operating data are transmitted to an electronic device, which displays the target fault description information and operating data, allowing maintenance personnel to locate the motor fault based on the target fault description information and operating data. This improves the efficiency of motor diagnosis. Furthermore, the above method solves the problems of high cost, low efficiency, and lack of after-sales service for motor equipment requiring factory maintenance.
  • the initial fault identifier is analyzed to determine the target fault description information corresponding to the motor equipment, including:
  • the target fault description information corresponding to the motor equipment is determined.
  • the motor diagnostic method provided in this application identifies operating data and determines candidate fault identifiers corresponding to the motor equipment, ensuring the accuracy of the determined candidate fault identifiers. It compares the initial fault identifier with the candidate fault identifiers; based on the comparison result, it determines the target fault description information corresponding to the motor equipment, ensuring the accuracy of the determined target fault description information. This avoids the inaccuracy of target fault description information determined solely based on the initial fault identifier.
  • the target fault description information corresponding to the motor equipment is determined, including:
  • the target fault description information corresponding to the initial fault identifier is determined according to the correspondence between the fault identifier and the fault description information.
  • the motor diagnostic method provided in this application if the initial fault identifier is consistent with the candidate fault identifier, determines the target fault description information corresponding to the initial fault identifier based on the correspondence between the fault identifier and the fault description information, thus ensuring the accuracy of the determined target fault description information.
  • the target fault description information corresponding to the motor equipment is determined, including:
  • the first fault description information corresponding to the initial fault identifier and the second fault description information corresponding to the candidate fault identifier are determined according to the correspondence between the fault identifier and the fault description information.
  • the first fault description information and the second fault description information are integrated to generate the target fault description information.
  • the motor diagnostic method provided in this application determines the first fault description information corresponding to the initial fault identifier and the second fault description information corresponding to the candidate fault identifier based on the correspondence between the fault identifier and the fault description information, thus ensuring the accuracy of the determined first and second fault description information.
  • the first and second fault description information are then integrated to generate the target fault description information, ensuring the accuracy of the generated target fault description information. This avoids the inaccuracy of the target fault description information determined solely based on the initial fault identifier.
  • the method further includes:
  • the program update file sent by the electronic equipment is received; the program update file is used to update the current program in the motor equipment.
  • the program update file will be transmitted to the motor device based on the communication connection between the motor devices.
  • the motor diagnostic method provided in this application if the target fault description information is that the program in the motor device is not updated, receives a program update file sent by the electronic device and verifies the program update file to ensure its accuracy. If the program update file verification is successful, it is transmitted to the motor device based on the communication connection between the motor devices, ensuring the accuracy of the transmitted program update file. This allows the motor device to update its current program based on the program update file, thereby resolving the motor device fault and ensuring the normal operation of the electronic device. This solves the problem in the prior art where the chip's built-in programming port is covered by potting compound when new or old motors need program optimization and upgrades, making the upgrade operation difficult. If the program update file verification fails, the method receives the program update file sent by the electronic device again, avoiding inaccurate program update files transmitted to the motor device, which could affect the normal operation of the motor device.
  • the program update file is verified, including:
  • the program update file is verified based on a preset verification method to generate a target verification value
  • the target verification value is sent to the electronic device so that the electronic device compares the target verification value with the initial verification value corresponding to the program update file and generates verification result information.
  • the motor diagnostic method provided in this application verifies the program update file based on a preset verification method, generates a target verification value, and ensures the accuracy of the generated target verification value.
  • the target verification value is sent to an electronic device, which compares the target verification value with the initial verification value corresponding to the program update file to generate verification result information.
  • the method receives the verification result information sent by the electronic device and determines whether the program update file has been successfully verified based on the verification result information, thus ensuring the accuracy of the result indicating whether the program update file has been successfully verified.
  • the method further includes:
  • the motor diagnostic method provided in this application receives user instructions; based on the user instructions, it reads the target program file stored in the storage device corresponding to the motor diagnostic device, ensuring the accuracy of the read target program file.
  • the target program file is then transmitted to the motor device. This ensures that the motor device can receive the target program file.
  • the present invention provides a motor diagnostic device, applied to a motor diagnostic equipment in a motor diagnostic system.
  • the motor diagnostic system includes a motor device, a motor diagnostic equipment, and electronic equipment.
  • the motor device is communicatively connected to the motor diagnostic equipment, and the motor diagnostic equipment is communicatively connected to the electronic equipment.
  • the device includes:
  • the receiving module is used to receive the operating data and initial fault identifier of the motor equipment sent by the motor equipment;
  • the determination module is used to analyze the initial fault identifier and determine the target fault description information corresponding to the motor equipment;
  • the sending module is used to transmit the target fault description information and operating data to the electronic device, so that the electronic device can display the target fault description information and operating data.
  • the motor diagnostic device receives operating data and an initial fault identifier from a motor device. It analyzes the initial fault identifier to determine the target fault description information corresponding to the motor device, ensuring the accuracy of the determined target fault description information and thus enabling motor diagnosis. Then, the target fault description information and operating data are transmitted to an electronic device, which displays the target fault description information and operating data, allowing maintenance personnel to locate the motor fault based on the target fault description information and operating data. This improves the efficiency of motor diagnosis. Furthermore, the above device solves the problems of high costs, low efficiency, and lack of after-sales service for motor equipment requiring factory maintenance.
  • the receiving module is further configured to receive a program update file sent by the electronic device if the target fault description information indicates that the program in the motor device has not been updated; the program update file is used to update the current program in the motor device.
  • the determination module is used to verify the program update files
  • the sending module is used to transmit the program update file to the motor device based on the communication connection between the motor devices if the program update file verification is successful.
  • the receiving module is also used to receive the program update file sent by the electronic device again if the program update file verification fails.
  • the receiving module is further configured to receive user instructions
  • the determination module is used to read the target program file stored in the storage device corresponding to the motor diagnostic equipment based on user instructions;
  • the sending module is used to transfer the target program file to the motor device.
  • the present invention provides a motor diagnostic device, comprising: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the motor diagnostic method of the first aspect or any corresponding embodiment described above.
  • the present invention provides a motor diagnostic system, characterized in that it includes: the motor diagnostic system includes a motor device, a motor diagnostic device, and an electronic device, the motor device and the motor diagnostic device are communicatively connected, and the motor diagnostic device executes the motor diagnostic method of the first aspect or any corresponding embodiment described above.
  • the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to perform the motor diagnostic method of the first aspect or any corresponding embodiment thereof.
  • the present invention provides a computer program product, including computer instructions for causing a computer to execute the motor diagnostic method of the first aspect or any corresponding embodiment thereof.
  • Figure 1 is a schematic diagram of the structure of a motor diagnostic system according to an embodiment of the present invention
  • FIG. 2 is a schematic diagram of another motor diagnostic system according to an embodiment of the present invention.
  • Figure 3 is a schematic flowchart of a motor diagnostic method according to an embodiment of the present invention.
  • Figure 4 is a flowchart illustrating another motor diagnostic method according to an embodiment of the present invention.
  • Figure 5 is a flowchart illustrating another motor diagnostic method according to an embodiment of the present invention.
  • Figure 6 is a data transmission block diagram of a motor diagnostic device according to an embodiment of the present invention.
  • Figure 7 is a schematic diagram of offline program upgrade for motor equipment according to an embodiment of the present invention.
  • Figure 8 is a structural block diagram of a motor diagnostic device according to an embodiment of the present invention.
  • Figure 9 is a schematic diagram of the hardware structure of the motor diagnostic device according to an embodiment of the present invention.
  • motors are often installed in hard-to-maintain locations such as rooftops and interior/exterior walls, along with the main unit.
  • motor manufacturers fill the motor controller with adhesive and securely mount it to the motor structure. Only a communication cable is led out from the controller, along with the power supply and control wiring harness, through pre-drilled holes in the structure. This cable is used to provide feedback on motor operation information to the air conditioning mainboard or other control boards.
  • the motor diagnostic system includes a motor device, a motor diagnostic device, and an electronic device.
  • the motor device and the motor diagnostic device are communicatively connected, and the motor diagnostic device and the electronic device are communicatively connected.
  • the motor device includes a motor controller.
  • the electronic device can be a terminal device, such as a mobile phone, computer, tablet computer, etc.
  • the embodiments in this application do not specifically limit the electronic device.
  • the motor controller of the motor equipment has reserved control wiring harnesses and communication lines, etc.
  • the motor diagnostic equipment can be connected to the motor controller of the motor equipment via the communication line, and electronic devices can be connected to the motor diagnostic equipment wirelessly via Bluetooth or WIFI.
  • the motor diagnostic equipment may also include a rechargeable battery to provide power to the motor diagnostic equipment.
  • the communication line can be a communication method with strong anti-interference capabilities, such as RS-485, RS-422, or CAN communication.
  • RS-485 stands for "Recommended Standard 485.” It is a serial communication standard that uses differential signal transmission, has strong anti-interference capabilities, and can achieve long-distance, multi-point communication. RS-422 also stands for “Recommended Standard 422.” It is also a serial communication interface standard that uses differential signal transmission, but unlike RS-485, RS-422 is full-duplex communication, while RS-485 is half-duplex. CAN stands for "Controller Area Network.” It is a serial communication network that effectively supports distributed or real-time control, featuring high performance and high reliability, and is widely used in automotive electronics, industrial automation, and other fields.
  • the connection between motor diagnostic equipment and electronic devices can be any wireless method, such as NFC, LoRa, or infrared, or a wired method such as USB.
  • NFC stands for "Near Field Communication”
  • LoRa stands for "Long Range”
  • a low-power wide-area network communication technology characterized by long transmission distance and low power consumption, suitable for IoT applications with high requirements for distance and power consumption.
  • a method for diagnosing motors is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.
  • FIG. 3 is a flowchart of the motor diagnostic method according to an embodiment of the present invention. As shown in Figure 3, the process includes the following steps:
  • Step S101 Receive the operating data and initial fault identifier of the motor equipment sent by the motor equipment.
  • the motor diagnostic equipment can periodically send requests to the motor controller in the motor equipment to read operating data and initial fault identifiers based on the communication connection between the equipment and the motor controller.
  • the initial fault identifier can be obtained by the motor controller after performing fault diagnosis based on the operating data of the motor equipment.
  • the operating data may include operating data such as DC bus voltage and actual speed.
  • Table 1 is the communication data between the motor diagnostic device and the motor device.
  • DATA can be the initial fault identifier
  • the feedback DATA data is 2 bytes.
  • Step S102 Analyze the initial fault identifier to determine the target fault description information corresponding to the motor equipment.
  • the motor diagnostic equipment can analyze the initial fault identifier based on the correspondence between the fault identifier and the fault description information to determine the target fault description information corresponding to the motor equipment.
  • target fault description information can be stacked. That is, if the motor controller experiences both over-temperature protection faults and over-current protection faults simultaneously, the initial fault identifier fed back by the motor controller will be 0x0001 + 0x0004, which equals 0x0005. After after-sales personnel resolve the issue causing the over-current protection fault on-site, the motor controller will automatically clear the initial fault identifier 0x0001 corresponding to the over-temperature protection fault, while retaining the initial fault identifier 0x0004 for the over-current protection fault.
  • Step S103 The target fault description information and operating data are transmitted to the electronic device so that the electronic device displays the target fault description information and operating data.
  • the motor diagnostic equipment can transmit the target fault description information and operating data to the electronic equipment via the universal Modbus RTU protocol format, based on the communication connection between the equipment and the electronic equipment.
  • the electronic equipment displays the target fault description information and operating data.
  • the motor diagnostic device may also choose to directly store the motor feedback data in an SD card and use a digital tube to display the target fault description information and operating data.
  • the motor diagnostic device can store the target fault description information and operating data in the storage space, and then display them based on the target fault description information and operating data on the digital tube.
  • the motor diagnostic method provided in this application receives operating data and an initial fault identifier from the motor equipment. It analyzes the initial fault identifier to determine the target fault description information corresponding to the motor equipment, ensuring the accuracy of the determined target fault description information and thus achieving motor diagnosis. Then, the target fault description information and operating data are displayed, allowing maintenance personnel to locate the motor fault based on these information. This improves the efficiency of motor diagnosis. Furthermore, the method solves the problems of high costs, low efficiency, and lack of after-sales service associated with returning motor equipment to the factory for maintenance.
  • FIG. 4 is a flowchart of the motor diagnostic method according to an embodiment of the present invention. As shown in Figure 4, the process includes the following steps:
  • Step S201 Receive the operating data and initial fault identifier of the motor equipment sent by the motor equipment.
  • step S101 Please refer to the above description of step S101 for details on this step, which will not be repeated here.
  • Step S202 Analyze the initial fault identifier to determine the target fault description information corresponding to the motor equipment.
  • step S202 includes:
  • Step S2021 Identify the operating data and determine the candidate fault identifiers corresponding to the motor equipment.
  • the motor diagnostic equipment can input operating data into a preset fault identification model and determine the candidate fault identifiers corresponding to the motor equipment based on the preset fault identification model.
  • the preset fault identification model can be any one of the following: Radial Basis Function (RBF) network, Feedforward Neural Network (FFNN), Convolutional Neural Networks (CNN), Deconvolutional Neural Networks (DN), Deep Convolutional Inverse Graphics Networks (DCIGN), Generative Adversarial Networks (GAN), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), Deep Residual Networks (DRN), and Extreme Learning Machines (ELM).
  • RBF Radial Basis Function
  • FFNN Feedforward Neural Network
  • CNN Convolutional Neural Networks
  • DN Deconvolutional Neural Networks
  • DCIGN Deep Convolutional Inverse Graphics Networks
  • GAN Generative Adversarial Networks
  • RNN Recurrent Neural Networks
  • LSTM Long Short-Term Memory
  • DNN Deep Residual Networks
  • ELM Extreme Learning Machines
  • the preset fault identification model can be generated based on preset training data, which includes training operation data corresponding to the motor equipment and training fault identifiers corresponding to the training operation data.
  • Step S2022 Compare the initial fault identifier with the candidate fault identifier.
  • motor diagnostic equipment can compare initial fault identifiers with candidate fault identifiers.
  • Step S2023 Based on the comparison results, determine the target fault description information corresponding to the motor equipment.
  • step S2023 above may include the following steps:
  • Step a1 If the initial fault identifier is consistent with the candidate fault identifier, then determine the target fault description information corresponding to the initial fault identifier based on the correspondence between the fault identifier and the fault description information.
  • the motor diagnostic equipment can determine the target fault description information corresponding to the initial fault identifier or the candidate fault identifier based on the correspondence between the fault identifier and the fault description information.
  • Step a2 If the initial fault identifier and the candidate fault identifier are inconsistent, then determine the first fault description information corresponding to the initial fault identifier and the second fault description information corresponding to the candidate fault identifier based on the correspondence between the fault identifier and the fault description information.
  • the motor diagnostic equipment determines the first fault description information corresponding to the initial fault identifier and the second fault description information corresponding to the candidate fault identifier based on the correspondence between the fault identifier and the fault description information.
  • Step a3 Integrate the first fault description information and the second fault description information to generate the target fault description information.
  • the motor diagnostic equipment can integrate the first fault description information and the second fault description information to generate the target fault description information.
  • Step S203 Display the target fault description information and operating data.
  • step S103 Please refer to the above description of step S103 for details on this step, which will not be repeated here.
  • the motor diagnostic method provided in this application identifies operating data and determines candidate fault identifiers corresponding to the motor equipment, ensuring the accuracy of the determined candidate fault identifiers.
  • An initial fault identifier is compared with the candidate fault identifiers; if the initial fault identifier and the candidate fault identifier are consistent, the target fault description information corresponding to the initial fault identifier is determined based on the correspondence between the fault identifier and fault description information, ensuring the accuracy of the determined target fault description information.
  • the first fault description information corresponding to the initial fault identifier and the second fault description information corresponding to the candidate fault identifier are determined based on the correspondence between the fault identifier and the fault description information, ensuring the accuracy of the determined first and second fault description information.
  • the first and second fault description information are integrated to generate target fault description information, ensuring the accuracy of the generated target fault description information. This avoids the inaccuracy of target fault description information determined solely based on the initial fault identifier.
  • FIG. 5 is a flowchart of the motor diagnostic method according to an embodiment of the present invention. As shown in Figure 5, the process includes the following steps:
  • Step S301 Receive the operating data and initial fault identifier of the motor equipment sent by the motor equipment.
  • step S201 Please refer to the above description of step S201 for details on this step, which will not be repeated here.
  • Step S302 Analyze the initial fault identifier to determine the target fault description information corresponding to the motor equipment.
  • step S201 Please refer to the above description of step S201 for details on this step, which will not be repeated here.
  • Step S303 Display the target fault description information and operating data.
  • step S203 Please refer to the above description of step S203 for details on this step, which will not be repeated here.
  • Step S304 If the target fault description information is that the program in the motor equipment has not been updated, then receive the program update file sent by the electronic equipment.
  • the program update file is used to update the current program in the motor equipment.
  • the electronic device can receive program update files input by the user or sent by other devices.
  • the electronic device when determining that the target fault description information is that the program in the motor equipment is not updated, can send the program update file to the motor diagnostic device according to the Ymodem protocol based on the communication connection with the motor diagnostic device, thus enabling the motor diagnostic device to receive the program update file sent by the electronic device.
  • the electronic device can also receive a user-input command to send a program update file and, based on the communication connection with the motor diagnostic device, send the program update file to the motor diagnostic device according to the Ymodem protocol, thus enabling the motor diagnostic device to receive the program update file sent by the electronic device.
  • the program update file is not limited to bin files; it can also be hex files, mot files, etc., depending on the type of program supported by the motor controller of the motor equipment.
  • Step S305 Verify the program update file.
  • step S305 above may include the following steps:
  • Step S3051 Verify the program update file based on the preset verification method and generate the target verification value.
  • the motor diagnostic equipment can verify the program update file based on a preset verification method and generate a target verification value.
  • the preset verification method can be any one of the verification methods such as parity check, cyclic redundancy check, and hash check. This application embodiment does not specifically limit the preset verification method.
  • Step S3052 The target verification value is sent to the electronic device so that the electronic device compares the target verification value with the initial verification value corresponding to the program update file and generates verification result information.
  • the motor diagnostic equipment can send the target verification value to the electronic device.
  • the electronic device can compare the target verification value with the initial verification value corresponding to the program update file and generate verification result information. Specifically, if the target verification value matches the initial verification value, the verification result information is that the program update file verification was successful; if the target verification value does not match the initial verification value, the verification result information is that the program update file verification failed.
  • Step S3053 Receive the verification result information sent by the electronic device.
  • motor diagnostic equipment can receive verification result information sent by electronic devices.
  • Step S3054 Based on the verification result information, determine whether the program update file has been successfully verified.
  • the motor diagnostic equipment identifies the verification result information. If the verification result information shows that the target verification value is consistent with the initial verification value, it is determined that the program update file verification is successful; if the verification result information shows that the target verification value is inconsistent with the initial verification value, it is determined that the program update file verification is unsuccessful.
  • Step S306 If the program update file verification is successful, the program update file is transmitted to the motor device based on the communication connection between the motor devices.
  • the motor diagnostic device will transmit the program update file to the Flash space of the motor controller of the motor device based on the wired communication interface between the motor device and the motor device.
  • Step S307 If the program update file verification fails, the program update file sent by the electronic device is received again.
  • the motor diagnostic device will receive the program update file sent by the electronic device again.
  • the motor diagnostic device receives a program update file sent by the electronic device. After receiving the program update file sent by the electronic device, the motor diagnostic device can transmit the program update file from the electronic device to the motor device in a transparent transmission manner. After receiving the program update file, the motor device verifies the program update file based on a preset verification method and generates a target verification value. Then, the motor device sends the target verification value to the electronic device through the motor diagnostic device, so that the electronic device compares the target verification value with the initial verification value corresponding to the program update file and generates verification information. Based on the verification result information, it is determined whether the program update file has been successfully verified. If the program update file verification fails, the motor diagnostic device receives the program update file sent by the electronic device again.
  • Step S308 Receive user instructions.
  • the motor diagnostic equipment can receive user commands.
  • Step S309 Based on the user's instructions, read the target program file stored in the storage device corresponding to the motor diagnostic device.
  • the motor diagnostic device can read the target program file stored in its corresponding storage device.
  • the storage device is pluggable and detachable from the motor diagnostic device.
  • the motor diagnostic device can read the target program file stored in the corresponding SD card of the motor diagnostic device based on the SD card reading function of the motor diagnostic device.
  • Step S310 Transfer the target program file to the motor device.
  • the motor diagnostic equipment transmits the target program file to the motor equipment.
  • the motor diagnostic device has an SD card reading function. Inserting the SD card containing the target program file into the device's card slot and pressing the program update button allows the target program file to be transmitted to the motor controller via a wired connection with better shielding performance.
  • the device can verify the target program file; upon successful verification, an indicator light will indicate that the program upgrade/update is complete.
  • the motor diagnostic method provided in this application, if the target fault description information is that the program in the motor device has not been updated, receives a program update file sent by an electronic device, verifies the program update file based on a preset verification method, generates a target verification value, and ensures the accuracy of the generated target verification value.
  • the target verification value is sent to the electronic device so that the electronic device compares the target verification value with the initial verification value corresponding to the program update file, generating verification result information; the verification result information sent by the electronic device is received; and based on the verification result information, it is determined whether the program update file has been successfully verified, ensuring the accuracy of the result indicating whether the program update file has been successfully verified.
  • the program update file verification is successful, it is transmitted to the motor device via the communication connection between the two devices. This ensures the accuracy of the transmitted update file, allowing the motor device to update its current program based on the update file. This resolves motor device malfunctions and ensures the normal operation of the electronic equipment. This solves the problem in existing technologies where the chip's built-in programming port is covered by potting compound, making upgrades difficult when new or old motors require program optimization. If the program update file verification fails, the system receives the update file from the electronic device again, preventing inaccurate updates from affecting the normal operation of the motor device.
  • the motor diagnostic equipment can also receive user commands; based on these commands, it reads the target program file stored in the corresponding storage device, ensuring the accuracy of the read target program file.
  • the target program file is then transmitted to the motor device, ensuring that the motor device can receive the target program file.
  • the communication line is mainly an RT communication line (simplex).
  • the diagnostic controller of the motor diagnostic equipment adopts a serial port idle interrupt and a two-serial port transparent transmission scheme.
  • the electronic device divides the program update file into separate 128-byte data streams according to the Ymodem protocol locally, or the diagnostic controller of the motor diagnostic equipment divides the entire target program file into separate 128-byte data streams according to the Ymodem protocol on the SD card.
  • the motor diagnostic device receives data streams from electronic devices via Bluetooth & Wi-Fi, or reads data streams from an SD card. The device then sends the data stream to Rx2 of serial port 2. Upon receiving the data stream, the diagnostic controller of the motor diagnostic device forwards it to the designated Flash address of the motor controller via Tx1 of serial port 1.
  • Tx is the Transmit data transmission port.
  • the motor controller of the motor equipment After the motor controller of the motor equipment finishes writing the data stream, it sends a response character to the motor diagnostic device Rx1.
  • the diagnostic controller of the motor diagnostic device then sends the response to the electronic device via TX2 on serial port 2.
  • the electronic device Upon receiving the response command, the electronic device proceeds to transmit the next program data stream. This process is repeated sequentially to complete the transmission of the entire program file.
  • Rx is the Receiver data receiving port.
  • the J-Flash module reads the bin file of the program to be updated, as shown in the upper right corner of Figure 7.
  • the program file is then saved to the mobile app or stored on an SD card.
  • the STM 32CubeProgrammer is used to read the Flash data at the predetermined address. If the data matches, the program update is successful.
  • the app displays a 29KB program file, with a download speed of 1KB/sec.
  • the total time for the motor controller program upgrade is 22 seconds, as shown in Figure 6.
  • the motor controller of the motor equipment uses J-Flash to read the bin file of the program to be updated and saves it to the electronic device or SD card. After the program upgrade is completed, the motor controller uses STM 32CubeProgrammer to read the Flash data at a predetermined address. If the data from both is consistent, the program update is successful. For example, the electronic device can display a 29KB program update file, the download speed is 1KB/sec, and the total time for the motor controller program upgrade is 22 seconds.
  • module can refer to a combination of software and/or hardware that performs a predetermined function.
  • the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.
  • This embodiment provides a motor diagnostic device, as shown in FIG8, which is applied to a motor diagnostic system.
  • the motor diagnostic system includes a motor device, a motor diagnostic device, and electronic equipment.
  • the motor device is communicatively connected to the motor diagnostic device, and the motor diagnostic device is communicatively connected to the electronic equipment.
  • the device includes:
  • the receiving module 401 is used to receive the operating data and initial fault identifier of the motor equipment sent by the motor equipment;
  • the determination module 402 is used to analyze the initial fault identifier and determine the target fault description information corresponding to the motor equipment;
  • the sending module 403 is used to transmit the target fault description information and operating data to the electronic device so that the electronic device can display the target fault description information and operating data.
  • the receiving module 401 is further configured to receive a program update file sent by the electronic device if the target fault description information indicates that the program in the motor device has not been updated; the program update file is used to update the current program in the motor device.
  • Module 402 is used to verify the program update file
  • the sending module 403 is used to transmit the program update file to the motor device based on the communication connection between the motor devices if the program update file verification is successful.
  • the receiving module 401 is also used to receive the program update file sent by the electronic device again if the program update file verification fails.
  • the receiving module 401 is further configured to receive user instructions
  • the determination module 402 is used to read the target program file stored in the storage device corresponding to the motor diagnostic device based on user instructions;
  • the sending module 403 is used to transfer the target program file to the motor device.
  • the motor diagnostic device is presented in the form of a functional unit.
  • a unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that execute one or more software or fixed programs, and/or other devices that can provide the above functions.
  • ASIC Application Specific Integrated Circuit
  • This invention also provides a motor diagnostic device having the motor diagnostic apparatus shown in FIG8 above.
  • the motor diagnostic device includes one or more processors 10, a memory 20, and interfaces for connecting the various components, including high-speed interfaces and low-speed interfaces.
  • the various components communicate with each other using different buses and can be installed on a common motherboard or otherwise as needed.
  • the processor can process instructions executed within the motor diagnostic device, including instructions stored in or on the memory to display graphical information of a GUI on an external input/output device (such as a display device coupled to the interface).
  • multiple processors and/or multiple buses can be used with multiple memories and multiple memory modules, if desired.
  • multiple motor diagnostic devices can be connected, each providing some of the necessary operations (e.g., as a server array, a set of blade servers, or a multiprocessor system).
  • Figure 9 uses one processor 10 as an example.
  • Processor 10 may be a central processing unit, a network processor, or a combination thereof. Processor 10 may further include a hardware chip.
  • the hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof.
  • the programmable logic device may be a complex programmable logic device (CAMP), a field-programmable gate array (FPGA), a general-purpose array logic (GDA), or any combination thereof.
  • the memory 20 may include a program storage area and a data storage area.
  • the program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the motor diagnostic device.
  • the memory 20 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device.
  • the memory 20 may optionally include memory remotely located relative to the processor 10, which can be connected to the motor diagnostic device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.
  • the memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk or solid-state drive; the memory 20 may also include a combination of the above types of memory.
  • volatile memory such as random access memory
  • non-volatile memory such as flash memory, hard disk or solid-state drive
  • the memory 20 may also include a combination of the above types of memory.
  • the motor diagnostic device also includes a communication interface 30 for communicating with other devices or communication networks.
  • This invention also provides a motor diagnostic system, comprising: a motor device, a motor diagnostic device, and an electronic device; the motor device and the motor diagnostic device are communicatively connected; and the motor diagnostic device executes any of the motor diagnostic methods described in the above embodiments.
  • This invention also provides a computer-readable storage medium.
  • the methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium.
  • the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware.
  • the storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory.
  • computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code, which, when accessed and executed by the computer, processor, or hardware, implements the methods shown in the above embodiments.
  • a portion of this invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and/or technical solutions according to the invention through the operation of the computer.
  • computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc.
  • ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executing the instructions, or the computer compiling the instructions and then executing the corresponding compiled program, or the computer reading and executing the instructions, or the computer reading and installing the instructions and then executing the corresponding installed program.
  • the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to a computer.

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Abstract

本发明涉及电机诊断技术领域，具体涉及电机诊断方法、装置、电机诊断设备及电机诊断系统。电机诊断方法应用于电机诊断系统中的电机诊断设备，电机诊断系统包括电机设备、电机诊断设备以及电子设备，电机设备与电机诊断设备通信连接，电机诊断设备与电子设备通信连接，接收电机设备发送的电机设备对应的运行数据以及初始故障标识，对初始故障标识进行分析，确定电机设备对应的目标故障描述信息，将目标故障描述信息以及运行数据传输至电子设备，以使电子设备显示目标故障描述信息以及运行数据。保证了确定的电机设备对应的目标故障描述信息的准确性，实现了对电机进行诊断。解决了电机设备返厂维护成本高，效率低，且无法进行售后的问题。

Description

电机诊断方法、装置、电机诊断设备及电机诊断系统 技术领域
本发明涉及电机诊断技术领域，具体涉及电机诊断方法、装置、电机诊断设备及电机诊断系统。
背景技术
电动机这一驱动设备，作为空调、通风系统的重要一部分，常随整机被安装于屋顶、墙壁内外等不易维护的位置。通常，电机控制器出于散热的考虑，电机生产商会将控制器注满胶体，并与电机结构牢固安装，只从控制器上引出通信线，同供电、控制线束经结构预留孔引出，用于反馈给空调主板或其他控制板电机运行信息。
当系统出现异常，单独定位排查电机是否异常时，需要维修人员使用维修工具，对电机进行仔细检查，且故障定位难度大。
因此，如何对电机进行诊断成为了亟待解决的问题。
发明内容
有鉴于此，本发明提供了一种电机诊断方法、装置、电机诊断设备及电机诊断系统，以解决如何对电机进行诊断的问题。
第一方面，本发明提供了一种电机诊断方法，应用于电机诊断系统中的电机诊断设备，电机诊断系统包括电机设备、电机诊断设备以及电子设备，电机设备与电机诊断设备通信连接，电机诊断设备与电子设备通信连接，方法包括：
接收电机设备发送的电机设备对应的运行数据以及初始故障标识；
对初始故障标识进行分析，确定电机设备对应的目标故障描述信息；
将目标故障描述信息以及运行数据传输至电子设备，以使电子设备显示目标故障描述信息以及运行数据。
本申请实施例提供的电机诊断方法，接收电机设备发送的电机设备对应的运行数据以及初始故障标识；对初始故障标识进行分析，确定电机设备对应的目标故障描述信息，保证了确定的电机设备对应的目标故障描述信息的准确性，实现了对电机进行诊断。然后，将目标故障描述信息以及运行数据传输至电子设备，以使电子设备显示目标故障描述信息以及运行数据，从而使得可以维修人员可以根据目标故障描述信息以及运行数据，定位电机故障位置。提高了对电机进行诊断的效率。此外，上述方法解决了电机设备返厂维护成本高，效率低，且无法进行售后的问题。
在一种可选的实施方式中，对初始故障标识进行分析，确定电机设备对应的目标故障描述信息，包括：
对运行数据进行识别，确定电机设备对应的候选故障标识；
将初始故障标识与候选故障标识进行对比；
根据对比结果，确定电机设备对应的目标故障描述信息。
本申请实施例提供的电机诊断方法，对运行数据进行识别，确定电机设备对应的候选故障标识，保证了确定的电机设备对应的候选故障标识的准确性。将初始故障标识与候选故障标识进行对比；根据对比结果，确定电机设备对应的目标故障描述信息，保证了确定的目标故障描述信息的准确性。避免了仅基于初始故障标识确定的目标故障描述信息的不准确。
在一种可选的实施方式中，根据对比结果，确定电机设备对应的目标故障描述信息，包括：
若初始故障标识与候选故障标识一致，则根据故障标识与故障描述信息之间的对应关系，确定初始故障标识对应的目标故障描述信息。
本申请实施例提供的电机诊断方法，若初始故障标识与候选故障标识一致，则根据故障标识与故障描述信息之间的对应关系，确定初始故障标识对应的目标故障描述信息，保证了确定的目标故障描述信息的准确性。
在一种可选的实施方式中，根据对比结果，确定电机设备对应的目标故障描述信息，包括：
若初始故障标识与候选故障标识不一致，则根据故障标识与故障描述信息之间的对应关系，确定初始故障标识对应的第一故障描述信息以及候选故障标识对应的第二故障描述信息；
将第一故障描述信息和第二故障描述信息进行整合，生成目标故障描述信息。
本申请实施例提供的电机诊断方法，若初始故障标识与候选故障标识不一致，则根据故障标识与故障描述信息之间的对应关系，确定初始故障标识对应的第一故障描述信息以及候选故障标识对应的第二故障描述信息，保证了确定的第一故障描述信息和第二故障描述信息的准确性。将第一故障描述信息和第二故障描述信息进行整合，生成目标故障描述信息，保证了生成的目标故障描述信息的准确性。避免了仅基于初始故障标识确定的目标故障描述信息的不准确。
在一种可选的实施方式中，将目标故障描述信息以及运行数据传输至电子设备之后，方法还包括：
若目标故障描述信息为电机设备中的程序未更新，则接收电子设备发送的程序更新文件；程序更新文件用于对电机设备中的当前程序进行更新；
对程序更新文件进行校验；
若对程序更新文件校验成功，则基于电机设备之间的通信连接，将程序更新文件传输至电机设备；
若对程序更新文件校验不成功，则再次接收电子设备发送的程序更新文件。
本申请实施例提供的电机诊断方法，若目标故障描述信息为电机设备中的程序未更新，则接收电子设备发送的程序更新文件，对程序更新文件进行校验，从而可以保证程序更新文件的准确性。若对程序更新文件校验成功，则基于电机设备之间的通信连接，将程序更新文件传输至电机设备，保证了传输至电机设备的程序更新文件的准确性，使得电机设备可以基于程序更新文件更新当前程序，进而解决了电机设备的故障，保证了电子设备可以正常工作。解决了现有技术中当新、旧电机需要进行程序优化升级时，芯片自带编程口被灌胶覆盖，升级操作困难的问题。若对程序更新文件校验不成功，则再次接收电子设备发送的程序更新文件，避免了传输至电机设备的程序更新文件不准确，从而影响了电机设备的正常工作。
在一种可选的实施方式中，对程序更新文件进行校验，包括：
基于预设校验方法对程序更新文件进行校验，生成目标校验值；
将目标校验值发送至电子设备，以使电子设备将目标校验值与程序更新文件对应的初始校验值进行对比，生成校验结果信息；
接收电子设备发送的校验结果信息；
根据校验结果信息，判断对程序更新文件是否校验成功。
本申请实施例提供的电机诊断方法，基于预设校验方法对程序更新文件进行校验，生成目标校验值，保证了生成的目标校验值的准确性。将目标校验值发送至电子设备，以使电子设备将目标校验值与程序更新文件对应的初始校验值进行对比，生成校验结果信息；接收电子设备发送的校验结果信息；根据校验结果信息，判断对程序更新文件是否校验成功，保证了得到的程序更新文件是否校验成功的结果的准确性。
在一种可选的实施方式中，方法还包括：
接收用户指令；
基于用户指令，读取电机诊断设备对应的存储设备中存储的目标程序文件；
将目标程序文件传输至电机设备。
本申请实施例提供的电机诊断方法，接收用户指令；基于用户指令，读取电机诊断设备对应的存储设备中存储的目标程序文件，保证了读取到的目标程序文件的准确性。将目标程序文件传输至电机设备。从而可以保证电机设备可以接收到目标程序文件。解决了现有技术中，工业现场4G5G信号覆盖强度低，或现场电磁干扰严重，无线信号传输不稳定情况，利用云服务器上传下载数据成功率低的问题。
第二方面，本发明提供了一种电机诊断装置，应用于电机诊断系统中的电机诊断设备，电机诊断系统包括电机设备、电机诊断设备以及电子设备，电机设备与电机诊断设备通信连接，电机诊断设备与电子设备通信连接，装置包括：
接收模块，用于接收电机设备发送的电机设备对应的运行数据以及初始故障标识；
确定模块，用于对初始故障标识进行分析，确定电机设备对应的目标故障描述信息；
发送模块，用于将目标故障描述信息以及运行数据传输至电子设备，以使电子设备显示目标故障描述信息以及运行数据。
本申请实施例提供的电机诊断装置，接收电机设备发送的电机设备对应的运行数据以及初始故障标识；对初始故障标识进行分析，确定电机设备对应的目标故障描述信息，保证了确定的电机设备对应的目标故障描述信息的准确性，实现了对电机进行诊断。然后，将目标故障描述信息以及运行数据传输至电子设备，以使电子设备显示目标故障描述信息以及运行数据，从而使得可以维修人员可以根据目标故障描述信息以及运行数据，定位电机故障位置。提高了对电机进行诊断的效率。此外，上述装置解决了电机设备返厂维护成本高，效率低，且无法进行售后的问题。
在一种可选的实施方式中，将目标故障描述信息以及运行数据传输至电子设备之后，接收模块，还用于若目标故障描述信息为电机设备中的程序未更新，则接收电子设备发送的程序更新文件；程序更新文件用于对电机设备中的当前程序进行更新；
对应的，
确定模块，用于对程序更新文件进行校验；
发送模块，用于若程序更新文件校验成功，则基于电机设备之间的通信连接，将程序更新文件传输至电机设备；
对应的，
接收模块，还用于若程序更新文件校验不成功，则再次接收电子设备发送的程序更新文件。
在一种可选的实施方式中，接收模块，还用于接收用户指令；
对应的，
确定模块，用于基于用户指令，读取电机诊断设备对应的存储设备中存储的目标程序文件；
发送模块，用于将目标程序文件传输至电机设备。
第三方面，本发明提供了一种电机诊断设备，包括：存储器和处理器，存储器和处理器之间互相通信连接，存储器中存储有计算机指令，处理器通过执行计算机指令，从而执行上述第一方面或其对应的任意实施方式的电机诊断方法。
第四方面，本发明提供了一种电机诊断系统，其特征在于，包括：电机诊断系统包括电机设备、电机诊断设备以及电子设备，电机设备与电机诊断设备通信连接，电机诊断设备执行上述第一方面或其对应的任意实施方式的电机诊断方法。
第五方面，本发明提供了一种计算机可读存储介质，该计算机可读存储介质上存储有计算机指令，计算机指令用于使计算机执行上述第一方面或其对应的任意实施方式的电机诊断方法。
第六方面，本发明提供了一种计算机程序产品，包括计算机指令，计算机指令用于使计算机执行上述第一方面或其对应的任意实施方式的电机诊断方法。
附图说明
为了更清楚地说明本发明具体实施方式或现有技术中的技术方案，下面将对具体实施方式或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图是本发明的一些实施方式，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1是根据本发明实施例的电机诊断系统的结构示意图；
图2是根据本发明实施例的另一电机诊断系统的结构示意图；
图3是根据本发明实施例的电机诊断方法的流程示意图；
图4是根据本发明实施例的另一电机诊断方法的流程示意图；
图5是根据本发明实施例的又一电机诊断方法的流程示意图；
图6是根据本发明实施例的电机诊断设备数据传输框图；
图7是根据本发明实施例的电机设备离线程序升级的示意图；
图8是根据本发明实施例的电机诊断装置的结构框图；
图9是本发明实施例的电机诊断设备的硬件结构示意图。
具体实施方式
为使本发明实施例的目的、技术方案和优点更加清楚，下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
电动机这一驱动设备，作为空调、通风系统的重要一部分，常随整机被安装于屋顶、墙壁内外等不易维护的位置。通常，电机控制器出于散热的考虑，电机生产商会将控制器注满胶体，并与电机结构牢固安装，只从控制器上引出通信线，同供电、控制线束经结构预留孔引出，用于反馈给空调主板或其他控制板电机运行信息。
当系统出现异常，单独定位排查电机是否异常时，需要维修人员使用维修工具，对电机进行仔细检查，且故障定位难度大。
因此，如何对电机进行诊断成为了亟待解决的问题。
基于此，本申请提供了一种电机诊断方法，应用于电机诊断系统中的电机诊断设备，如图1所示，电机诊断系统包括电机设备、电机诊断设备以及电子设备，电机设备与电机诊断设备通信连接，电机诊断设备与电子设备通信连接。
具体地，如图2所示，电机设备中包括电机控制器。电子设备可以终端设备，该终端设备可以手机、也可以是电脑、平板电脑等设备，申请实施例对电子设备不做具体限定。
可选地，电机设备的电机控制器预留有控制线束以及通信线等，电机诊断设备可以通过通信线方式连接电机设备的电机控制器，电子设备利用蓝牙或WIFI无线方式连接至电机诊断设备。其中，电机诊断设备还可以包括可充电电池，以对电机诊断设备提供电能。
其中，通信线可以是RS-485、RS-422、CAN通信等抗干扰能力强的通信方式。
其中，RS-485的全称是“Recommended Standard 485”，中文含义为“推荐标准485”。它是一种串行通信标准，采用差分信号传输方式，具有较强的抗干扰能力，可实现远距离、多点通信。RS-422的全称是“Recommended Standard 422”，中文含义为“推荐标准422”。RS-422也是一种串行通信接口标准，同样采用差分信号传输，但与RS-485不同的是，RS-422为全双工通信，而RS-485为半双工通信。CAN的全称是“Controller Area Network”，中文含义为“控制器局域网络”。它是一种有效支持分布式控制或实时控制的串行通信网络，具有高性能和高可靠性的特点，广泛应用于汽车电子、工业自动化等领域。
电机诊断设备与电子设备的连接方式，可以是任意无线方式，如NFC、LoRa、红外线等，也可以是有线方式如USB。其中，NFC的全称是“Near Field Communication”，中文含义为“近场通信”。它是一种短距离的高频无线通信技术，允许电子设备之间进行非接触式点对点数据传输(在十厘米内)交换数据。LoRa的全称是“Long Range”，中文含义为“远距离”。LoRa是一种低功耗广域网通信技术，具有传输距离远、功耗低等特点，适用于物联网领域中对距离和功耗要求较高的应用场景。
具体地，电机诊断设备接收电机设备发送的电机设备对应的运行数据以及初始故障标识；对初始故障标识进行分析，确定电机设备对应的目标故障描述信息，保证了确定的电机设备对应的目标故障描述信息的准确性，实现了对电机进行诊断。然后，将目标故障描述信息以及运行数据传输至电子设备，以使电子设备显示目标故障描述信息以及运行数据，从而使得可以维修人员可以根据目标故障描述信息以及运行数据，定位电机故障位置。提高了对电机进行诊断的效率。此外，上述方法解决了电机设备返厂维护成本高，效率低，且无法进行售后的问题。
根据本发明实施例，提供了一种电机诊断方法实施例，需要说明的是，在附图的流程图示出的步骤可以在诸如一组计算机可执行指令的计算机系统中执行，并且，虽然在流程图中示出了逻辑顺序，但是在某些情况下，可以以不同于此处的顺序执行所示出或描述的步骤。
在本实施例中提供了一种电机诊断方法，可用于上述的电机诊断系统中的电机诊断设备，电机诊断系统包括电机设备、电机诊断设备以及电子设备，电机设备与电机诊断设备通信连接，图3是根据本发明实施例的电机诊断方法的流程图，如图3所示，该流程包括如下步骤：
步骤S101，接收电机设备发送的电机设备对应的运行数据以及初始故障标识。
具体地，电机诊断设备可以基于与电机设备中的电机控制器之间的通信连接，周期性地向电机设备中的电机控制器发送读取运行数据以及初始故障标识的请求信息。
电机设备中的电机控制器在接收到电机诊断设备发送的读取运行数据以及初始故障标识的请求信息之后，向电机诊断设备发送电机设备对应的运行数据以及初始故障标识。
其中，需要说明的是，初始故障标识可以是电机控制器基于电机设备的运行数据进行故障诊断后得到的。
其中，运行数据可以包括直流母线电压、实际转速等运行数据。
示例性的，如表1所示，为电机诊断设备与电机设备之间的通信数据。
表1电机诊断设备与电机设备之间的通信数据
其中，DATA可以是初始故障标识，反馈的DATA数据为2个字节。
步骤S102，对初始故障标识进行分析，确定电机设备对应的目标故障描述信息。
具体地，在接收到初始故障标识之后，电机诊断设备可以根据故障标识与故障描述信息之间的对应关系，对初始故障标识进行分析，确定电机设备对应的目标故障描述信息。
示例性的，故障标识与故障信息之间的对应关系可以如表2所示。
表2故障标识与故障信息之间的对应关系表
可选的，目标故障描述信息支持可叠加。即：若电机控制器同时出现过温保护故障、过流保护故障，电机控制器反馈初始故障标识为0x0001+0x0004等于0x0005。售后人员现场检修解决引发过流保护故障问题后，电机控制器会自动清除过温保护故障对应初始故障标识0x0001，保留过流保护故障初始故障标识0x0004。
步骤S103，将目标故障描述信息以及运行数据传输至电子设备，以使电子设备显示目标故障描述信息以及运行数据。
具体地，在确定目标故障描述信息之后，电机诊断设备可以基于与电子设备之间的通信连接，通用Modbus RTU协议格式将目标故障描述信息以及运行数据传输至电子设备。电子设备将目标故障描述信息以及运行数据进行显示。
在本申请一种可选的实施方式中，电机诊断设备也可以选择将电机反馈数据直接存储在SD卡中，利用数码管对目标故障描述信息以及运行数据进行显示。
在本申请一种可选的实施方式中，电机诊断设备可以将目标故障描述信息以及运行数据存储至存储空间中，然后，基于数码管目标故障描述信息以及运行数据进行显示。
本申请实施例提供的电机诊断方法，接收电机设备发送的电机设备对应的运行数据以及初始故障标识；对初始故障标识进行分析，确定电机设备对应的目标故障描述信息，保证了确定的电机设备对应的目标故障描述信息的准确性，实现了对电机进行诊断。然后，对目标故障描述信息以及运行数据进行显示，从而使得可以维修人员可以根据目标故障描述信息以及运行数据，定位电机故障位置。提高了对电机进行诊断的效率。此外，上述方法解决了电机设备返厂维护成本高，效率低，且无法进行售后的问题。
在本实施例中提供了一种电机诊断方法，可用于上述的电机诊断系统中的电机诊断设备，电机诊断系统包括电机设备、电机诊断设备以及电子设备，电机设备与电机诊断设备通信连接，图4是根据本发明实施例的电机诊断方法的流程图，如图4所示，该流程包括如下步骤：
步骤S201，接收电机设备发送的电机设备对应的运行数据以及初始故障标识。
关于该步骤请参见上文对步骤S101的介绍，在此不进行赘述。
步骤S202，对初始故障标识进行分析，确定电机设备对应的目标故障描述信息。
具体地，上述步骤S202包括：
步骤S2021，对运行数据进行识别，确定电机设备对应的候选故障标识。
具体地，电机诊断设备可以将运行数据输入至预设故障识别模型，基于预设故障识别模型确定电机设备对应的候选故障标识。
其中，预设故障识别模型可以是径向基函数(RBF)网络、前馈神经网络(FFNN)、卷积神经网络(Convolutional neural networks,CNN)、反卷积神经网络(Deconvolutional networks,DN)、深度卷积逆向图网络(Deep convolutional inverse graphics networks,DCIGN)，生成式对抗网络(Generative adversarial networks,GAN)、循环神经网络(Recurrent neural networks,RNN)、长短时记忆网络(Long/short term memory,LSTM)、深度残差网络(Deep residual networks,DRN)以及极限学习机(Extreme learning machines,ELM)中的任意一种。本申请实施例对预设故障识别模型不进行限定。
其中，预设故障识别模型可以是基于预设训练数据训练生成的，预设训练数据中包括电机设备对应的训练运行数据以及训练运行数据对应的训练故障标识。
步骤S2022，将初始故障标识与候选故障标识进行对比。
具体地，电机诊断设备可以将初始故障标识与候选故障标识进行对比。
步骤S2023，根据对比结果，确定电机设备对应的目标故障描述信息。
具体地，上述步骤S2023，可以包括如下步骤：
步骤a1，若初始故障标识与候选故障标识一致，则根据故障标识与故障描述信息之间的对应关系，确定初始故障标识对应的目标故障描述信息。
具体地，若初始故障标识与候选故障标识一致，则电机诊断设备可以根据故障标识与故障描述信息之间的对应关系，确定初始故障标识或者候选故障标识对应的目标故障描述信息。
步骤a2，若初始故障标识与候选故障标识不一致，则根据故障标识与故障描述信息之间的对应关系，确定初始故障标识对应的第一故障描述信息以及候选故障标识对应的第二故障描述信息。
具体地，若初始故障标识与候选故障标识不一致，则电机诊断设备根据故障标识与故障描述信息之间的对应关系，确定初始故障标识对应的第一故障描述信息以及候选故障标识对应的第二故障描述信息。
步骤a3，将第一故障描述信息和第二故障描述信息进行整合，生成目标故障描述信息。
具体地，电机诊断设备可以将第一故障描述信息和第二故障描述信息进行整合，生成目标故障描述信息。
步骤S203，对目标故障描述信息以及运行数据进行显示。
关于该步骤请参见上文对步骤S103的介绍，在此不进行赘述。
本申请实施例提供的电机诊断方法，对运行数据进行识别，确定电机设备对应的候选故障标识，保证了确定的电机设备对应的候选故障标识的准确性。将初始故障标识与候选故障标识进行对比；若初始故障标识与候选故障标识一致，则根据故障标识与故障描述信息之间的对应关系，确定初始故障标识对应的目标故障描述信息，保证了确定的目标故障描述信息的准确性。若初始故障标识与候选故障标识不一致，则根据故障标识与故障描述信息之间的对应关系，确定初始故障标识对应的第一故障描述信息以及候选故障标识对应的第二故障描述信息，保证了确定的第一故障描述信息和第二故障描述信息的准确性。将第一故障描述信息和第二故障描述信息进行整合，生成目标故障描述信息，保证了生成的目标故障描述信息的准确性。避免了仅基于初始故障标识确定的目标故障描述信息的不准确。
在本实施例中提供了一种电机诊断方法，可用于上述的电机诊断系统中的电机诊断设备，电机诊断系统包括电机设备、电机诊断设备以及电子设备，电机设备与电机诊断设备通信连接，图5是根据本发明实施例的电机诊断方法的流程图，如图5所示，该流程包括如下步骤：
步骤S301，接收电机设备发送的电机设备对应的运行数据以及初始故障标识。
关于该步骤请参见上文对步骤S201的介绍，在此不进行赘述。
步骤S302，对初始故障标识进行分析，确定电机设备对应的目标故障描述信息。
关于该步骤请参见上文对步骤S201的介绍，在此不进行赘述。
步骤S303，对目标故障描述信息以及运行数据进行显示。
关于该步骤请参见上文对步骤S203的介绍，在此不进行赘述。
步骤S304，若目标故障描述信息为电机设备中的程序未更新，则接收电子设备发送的程序更新文件。
其中，程序更新文件用于对电机设备中的当前程序进行更新。
具体地，若目标故障描述信息为电机设备中的程序未更新，则电子设备可以接收用户输入的程序更新文件，也可以接收其他设备发送的程序更新文件。在接收到程序更新文件之后，电子设备可以在确定目标故障描述信息为电机设备中的程序未更新时，基于与电机诊断设备之间的通信连接，按照Ymodem协议将程序更新文件发送至电机诊断设备，从而使得电机诊断设备可以接收到电子设备发送的程序更新文件。电子设备也可以接收到用户输入的发送程序更新文件的发送指令之后，基于与电机诊断设备之间的通信连接，按照Ymodem协议将程序更新文件发送至电机诊断设备，从而使得电机诊断设备可以接收到电子设备发送的程序更新文件。
其中，程序更新文件不限于bin文件，也可以是hex文件，mot文件等，取决于电机设备的电机控制器支持的程序类型。
步骤S305，对程序更新文件进行校验。
具体地，上述步骤S305，可以包括如下步骤：
步骤S3051，基于预设校验方法对程序更新文件进行校验，生成目标校验值。
具体地，电机诊断设备可以基于预设校验方法对程序更新文件进行校验，生成目标校验值。
其中，预设校验方法可以是奇偶校验、循环冗余校验、哈希校验等校验方法中的任意一种，本申请实施例对预设校验方法不做具体限定。
步骤S3052，将目标校验值发送至电子设备，以使电子设备将目标校验值与程序更新文件对应的初始校验值进行对比，生成校验结果信息。
具体地，电机诊断设备可以将目标校验值发送至电子设备。电子设备可以将目标校验值与程序更新文件对应的初始校验值进行对比，生成校验结果信息。具体地，若目标校验值与初始校验值一致，则校验结果信息为程序更新文件校验成功；若目标校验值与初始校验值不一致，则校验结果信息为程序更新文件校验不成功。
步骤S3053，接收电子设备发送的校验结果信息。
具体地，电机诊断设备可以接收电子设备发送的校验结果信息。
步骤S3054，根据校验结果信息，判断对程序更新文件是否校验成功。
具体地，电机诊断设备对校验结果信息进行识别，若校验结果信息为目标校验值与初始校验值一致，则确定程序更新文件校验成功；若校验结果信息为目标校验值与初始校验值不一致，则确定程序更新文件校验不成功。
步骤S306，若程序更新文件校验成功，则基于电机设备之间的通信连接，将程序更新文件传输至电机设备。
具体地，若程序更新文件校验成功，则电机诊断设备基于与电机设备之间的有线通信接口，将程序更新文件传输至电机设备的电机控制器的Flash空间。
步骤S307，若程序更新文件校验不成功，则再次接收电子设备发送的程序更新文件。
具体地，若程序更新文件校验不成功，则电机诊断设备再次接收电子设备发送的程序更新文件。
在本申请另一种可选的实施方式中，若目标故障描述信息为电机设备中的程序未更新，则电机诊断设备接收电子设备发送的程序更新文件。电机诊断设备接收到电子设备发送的程序更新文件之后，可以以透传方式，将电子设备传入的程序更新文件传输给电机设备。电机设备在接收到程序更新文件之后，基于预设校验方法，程序更新文件进行校验，生成目标校验值。然后，电机设备将目标校验值通过电机诊断设备发送至电子设备，以使电子设备将目标校验值与程序更新文件对应的初始校验值进行对比，生成校验信息。根据校验结果信息，判断对程序更新文件是否校验成功。若程序更新文件校验不成功，则电机诊断设备再次接收电子设备发送的程序更新文件。
步骤S308，接收用户指令。
具体地，电机诊断设备可以接收用户指令。
步骤S309，基于用户指令，读取电机诊断设备对应的存储设备中存储的目标程序文件。
在一种可选的实施方式中，电机诊断设备接收用户指令后，可以，读取电机诊断设备对应的存储设备中存储的目标程序文件。其中，存储设备可插拔连接于电机诊断设备。
示例性的，电机诊断设备接收用户指令后，可以基于电机诊断设备的SD卡读取功能，读取电机诊断设备对应的SD卡中存储的目标程序文件。
步骤S310，将目标程序文件传输至电机设备。
具体地，电机诊断设备将目标程序文件传输至电机设备。
示例性的，当工业现场电磁干扰严重，无线信号传输质量差。如图2所示，电机诊断设备具备SD卡读取功能，将存有目标程序文件的SD卡插入电机诊断设备卡槽，按下电机诊断设备程序更新按钮，即可实现目标程序文件传输链路以屏蔽性能更优的有线方式传入电机设备的电机控制器中。电机设备可以对目标程序文件进行校验，校验通过后，指示灯提示程序升级更新完成。
本申请实施例提供的电机诊断方法，若目标故障描述信息为电机设备中的程序未更新，则接收电子设备发送的程序更新文件，基于预设校验方法对程序更新文件进行校验，生成目标校验值，保证了生成的目标校验值的准确性。将目标校验值发送至电子设备，以使电子设备将目标校验值与程序更新文件对应的初始校验值进行对比，生成校验结果信息；接收电子设备发送的校验结果信息；根据校验结果信息，判断对程序更新文件是否校验成功，保证了得到的程序更新文件是否校验成功的结果的准确性。
若对程序更新文件校验成功，则基于电机设备之间的通信连接，将程序更新文件传输至电机设备，保证了传输至电机设备的程序更新文件的准确性，使得电机设备可以基于程序更新文件更新当前程序，进而解决了电机设备的故障，保证了电子设备可以正常工作。解决了现有技术中当新、旧电机需要进行程序优化升级时，芯片自带编程口被灌胶覆盖，升级操作困难的问题。若对程序更新文件校验不成功，则再次接收电子设备发送的程序更新文件，避免了传输至电机设备的程序更新文件不准确，从而影响了电机设备的正常工作。
此外，电机诊断设备还可以接收用户指令；基于用户指令，读取电机诊断设备对应的存储设备中存储的目标程序文件，保证了读取到的目标程序文件的准确性。将目标程序文件传输至电机设备。从而可以保证电机设备可以接收到目标程序文件。解决了现有技术中，工业现场4G5G信号覆盖强度低，或现场电磁干扰严重，无线信号传输不稳定情况，利用云服务器上传下载数据成功率低的问题。
在本申请一种可选的实施方式中，为了更好地介绍本申请实施例提供的电机诊断方法。本申请实施例提供了一种具体地实施方式。
示例性的，以DM系列电机为例，通信线主要以RT通信线为主(单工)。电机诊断设备的诊断控制器采取串口空闲中断、利用两串口透传方案。如图6所示，电子设备在电子设备本地将程序更新文件按照Ymodem协议划分成每条128Byte单独数据流，或者电机诊断设备的诊断控制器在SD卡中将整个目标程序文件按照Ymodem协议划分成每条128Byte单独数据流。
电机诊断设备接收电子设备基于蓝牙&WIFI发送的数据流，或者从SD卡中读取数据流。然后，电机诊断设备将数据流发送至电机诊断设备串口2的Rx2。电机诊断设备的诊断控制器收到数据流后通过串口1的Tx1转发至电机设备的电机控制器预定的Flash地址上。其中，Tx为Transmit数据发送端口。
电机设备的电机控制器将数据流写入完成后，电机设备的电机控制器发送回应字符给电机诊断设备Rx1，电机诊断设备的诊断控制器通过串口2的TX2发送至电子设备端。电子设备收到回应指令后进行下一条程序数据流的传输。依次进行，完成整个程序文件的传输。其中，Rx为Recieve数据接收端口。
利用J-Flash读取待更新程序bin文件，如图7右上。将程序文件存入移动设备APP，或SD卡中存储。完成程序升级后，利用STM 32CubeProgrammer读取预定地址Flash数据，两者数据一致，程序更新成功，APP显示29KB程序文件，下载速率1KB/sec，总用时22s即可完成电机控制器程序升级。如图6所示。
电机设备的电机控制器利用J-Flash读取待更新程序的bin文件，并将其存入电子设备或SD卡中。完成程序升级后，电机设备的电机控制器使用STM 32CubeProgrammer读取预定地址的Flash数据，若两者数据一致，则程序更新成功。示例性的，电子设备可以显示29KB程序更新文件，下载速率为1KB/sec，总用时22s即可完成电机设备的电机控制器程序升级。
在本实施例中还提供了一种电机诊断装置，该装置用于实现上述实施例及优选实施方式，已经进行过说明的不再赘述。如以下所使用的，术语“模块”可以实现预定功能的软件和/或硬件的组合。尽管以下实施例所描述的装置较佳地以软件来实现，但是硬件，或者软件和硬件的组合的实现也是可能并被构想的。
本实施例提供一种电机诊断装置，如图8所示，应用于电机诊断系统中的电机诊断设备，电机诊断系统包括电机设备、电机诊断设备以及电子设备，电机设备与电机诊断设备通信连接，电机诊断设备与电子设备通信连接，装置包括：
接收模块401，用于接收电机设备发送的电机设备对应的运行数据以及初始故障标识；
确定模块402，用于对初始故障标识进行分析，确定电机设备对应的目标故障描述信息；
发送模块403，用于将目标故障描述信息以及运行数据传输至电子设备，以使电子设备显示目标故障描述信息以及运行数据。
在一种可选的实施方式中，将目标故障描述信息以及运行数据传输至电子设备之后，接收模块401，还用于若目标故障描述信息为电机设备中的程序未更新，则接收电子设备发送的程序更新文件；程序更新文件用于对电机设备中的当前程序进行更新；
对应的，
确定模块402，用于对程序更新文件进行校验；
发送模块403，用于若程序更新文件校验成功，则基于电机设备之间的通信连接，将程序更新文件传输至电机设备；
对应的，
接收模块401，还用于若程序更新文件校验不成功，则再次接收电子设备发送的程序更新文件。
在一种可选的实施方式中，接收模块401，还用于接收用户指令；
对应的，
确定模块402，用于基于用户指令，读取电机诊断设备对应的存储设备中存储的目标程序文件；
发送模块403，用于将目标程序文件传输至电机设备。
上述各个模块和单元的更进一步的功能描述与上述对应实施例相同，在此不再赘述。
本实施例中的电机诊断装置是以功能单元的形式来呈现，这里的单元是指ASIC(Application Specific Integrated Circuit，专用集成电路)电路，执行一个或多个软件或固定程序的处理器和存储器，和/或其他可以提供上述功能的器件。
本发明实施例还提供一种电机诊断设备，具有上述图8所示的电机诊断装置。
请参阅图9，图9是本发明可选实施例提供的一种电机诊断设备的结构示意图，如图9所示，该电机诊断设备包括：一个或多个处理器10、存储器20，以及用于连接各部件的接口，包括高速接口和低速接口。各个部件利用不同的总线互相通信连接，并且可以被安装在公共主板上或者根据需要以其它方式安装。处理器可以对在电机诊断设备内执行的指令进行处理，包括存储在存储器中或者存储器上以在外部输入/输出装置(诸如，耦合至接口的显示设备)上显示GUI的图形信息的指令。在一些可选的实施方式中，若需要，可以将多个处理器和/或多条总线与多个存储器和多个存储器一起使用。同样，可以连接多个电机诊断设备，各个设备提供部分必要的操作(例如，作为服务器阵列、一组刀片式服务器、或者多处理器系统)。图9中以一个处理器10为例。
处理器10可以是中央处理器，网络处理器或其组合。其中，处理器10还可以进一步包括硬件芯片。上述硬件芯片可以是专用集成电路，可编程逻辑器件或其组合。上述可编程逻辑器件可以是复杂可编程逻辑器件，现场可编程逻辑门阵列，通用阵列逻辑或其任意组合。
其中，存储器20存储有可由至少一个处理器10执行的指令，以使至少一个处理器10执行实现上述实施例示出的方法。
存储器20可以包括存储程序区和存储数据区，其中，存储程序区可存储操作系统、至少一个功能所需要的应用程序；存储数据区可存储根据电机诊断设备的使用所创建的数据等。此外，存储器20可以包括高速随机存取存储器，还可以包括非瞬时存储器，例如至少一个磁盘存储器件、闪存器件、或其他非瞬时固态存储器件。在一些可选的实施方式中，存储器20可选包括相对于处理器10远程设置的存储器，这些远程存储器可以通过网络连接至该电机诊断设备。上述网络的实例包括但不限于互联网、企业内部网、局域网、移动通信网及其组合。
存储器20可以包括易失性存储器，例如，随机存取存储器；存储器也可以包括非易失性存储器，例如，快闪存储器，硬盘或固态硬盘；存储器20还可以包括上述种类的存储器的组合。
该电机诊断设备还包括通信接口30，用于该电机诊断设备与其他设备或通信网络通信。本发明实施例还提供了一种电机诊断系统，包括：电机诊断系统包括电机设备、电机诊断设备以及电子设备，电机设备与电机诊断设备通信连接，电机诊断设备执行上述实施方式中任意项的电机诊断方法。
本发明实施例还提供了一种计算机可读存储介质，上述根据本发明实施例的方法可在硬件、固件中实现，或者被实现为可记录在存储介质，或者被实现通过网络下载的原始存储在远程存储介质或非暂时机器可读存储介质中并将被存储在本地存储介质中的计算机代码，从而在此描述的方法可被存储在使用通用计算机、专用处理器或者可编程或专用硬件的存储介质上的这样的软件处理。其中，存储介质可为磁碟、光盘、只读存储记忆体、随机存储记忆体、快闪存储器、硬盘或固态硬盘等；进一步地，存储介质还可以包括上述种类的存储器的组合。可以理解，计算机、处理器、微处理器控制器或可编程硬件包括可存储或接收软件或计算机代码的存储组件，当软件或计算机代码被计算机、处理器或硬件访问且执行时，实现上述实施例示出的方法。
本发明的一部分可被应用为计算机程序产品，例如计算机程序指令，当其被计算机执行时，通过该计算机的操作，可以调用或提供根据本发明的方法和/或技术方案。本领域技术人员应能理解，计算机程序指令在计算机可读介质中的存在形式包括但不限于源文件、可执行文件、安装包文件等，相应地，计算机程序指令被计算机执行的方式包括但不限于：该计算机直接执行该指令，或者该计算机编译该指令后再执行对应的编译后程序，或者该计算机读取并执行该指令，或者该计算机读取并安装该指令后再执行对应的安装后程序。在此，计算机可读介质可以是可供计算机访问的任意可用的计算机可读存储介质或通信介质。
虽然结合附图描述了本发明的实施例，但是本领域技术人员可以在不脱离本发明的精神和范围的情况下做出各种修改和变型，这样的修改和变型均落入由所附权利要求所限定的范围之内。

Claims (14)

  1. 一种电机诊断方法，其特征在于，应用于电机诊断系统中的电机诊断设备，所述电机诊断系统包括电机设备、所述电机诊断设备以及电子设备，所述电机设备与所述电机诊断设备通信连接，所述电机诊断设备与所述电子设备通信连接，所述方法包括：
    接收所述电机设备发送的所述电机设备对应的运行数据以及初始故障标识；
    对所述初始故障标识进行分析，确定所述电机设备对应的目标故障描述信息；
    将所述目标故障描述信息以及所述运行数据传输至所述电子设备，以使所述电子设备显示所述目标故障描述信息以及所述运行数据。
  2. 根据权利要求1所述的方法，其特征在于，所述对所述初始故障标识进行分析，确定所述电机设备对应的目标故障描述信息，包括：
    对所述运行数据进行识别，确定所述电机设备对应的候选故障标识；
    将所述初始故障标识与所述候选故障标识进行对比；
    根据对比结果，确定所述电机设备对应的目标故障描述信息。
  3. 根据权利要求2所述的方法，其特征在于，所述根据对比结果，确定所述电机设备对应的目标故障描述信息，包括：
    若所述初始故障标识与所述候选故障标识一致，则根据故障标识与故障描述信息之间的对应关系，确定所述初始故障标识对应的所述目标故障描述信息。
  4. 根据权利要求2所述的方法，其特征在于，所述根据所述对比结果，确定所述电机设备对应的目标故障描述信息，包括：
    若所述初始故障标识与所述候选故障标识不一致，则根据故障标识与故障描述信息之间的对应关系，确定所述初始故障标识对应的第一故障描述信息以及所述候选故障标识对应的第二故障描述信息；
    将所述第一故障描述信息和所述第二故障描述信息进行整合，生成所述目标故障描述信息。
  5. 根据权利要求1所述的方法，其特征在于，所述将所述目标故障描述信息以及所述运行数据传输至所述电子设备之后，所述方法还包括：
    若所述目标故障描述信息为所述电机设备中的程序未更新，则接收所述电子设备发送的程序更新文件；所述程序更新文件用于对所述电机设备中的当前程序进行更新；
    对所述程序更新文件进行校验；
    若所述程序更新文件校验成功，则基于所述电机设备之间的通信连接，将所述程序更新文件传输至所述电机设备；
    若所述程序更新文件校验不成功，则再次接收所述电子设备发送的程序更新文件。
  6. 根据权利要求5所述的方法，其特征在于，所述对所述程序更新文件进行校验，包括：
    基于预设校验方法对所述程序更新文件进行校验，生成目标校验值；
    将所述目标校验值发送至所述电子设备，以使所述电子设备将所述目标校验值与所述程序更新文件对应的初始校验值进行对比，生成校验结果信息；
    接收所述电子设备发送的校验结果信息；
    根据所述校验结果信息，判断对所述程序更新文件是否校验成功。
  7. 根据权利要求1所述的方法，其特征在于，所述方法还包括：
    接收用户指令；
    基于所述用户指令，读取所述电机诊断设备对应的存储设备中存储的目标程序文件；
    将所述目标程序文件传输至所述电机设备。
  8. 一种电机诊断装置，其特征在于，应用于电机诊断系统中的电机诊断设备，所述电机诊断系统包括电机设备、所述电机诊断设备以及电子设备，所述电机设备与所述电机诊断设备通信连接，所述电机诊断设备与所述电子设备通信连接，所述装置包括：
    接收模块，用于接收所述电机设备发送的所述电机设备对应的运行数据以及初始故障标识；
    确定模块，用于对所述初始故障标识进行分析，确定所述电机设备对应的目标故障描述信息；
    发送模块，用于将所述目标故障描述信息以及所述运行数据传输至所述电子设备，以使所述电子设备显示所述目标故障描述信息以及所述运行数据。
  9. 根据权利要求8所述的装置，其特征在于，所述将所述目标故障描述信息以及所述运行数据传输至所述电子设备之后，所述接收模块，还用于若所述目标故障描述信息为所述电机设备中的程序未更新，则接收所述电子设备发送的程序更新文件；所述程序更新文件用于对所述电机设备中的当前程序进行更新；
    对应的，
    所述确定模块，用于对所述程序更新文件进行校验；
    发送模块，用于若所述程序更新文件校验成功，则基于所述电机设备之间的通信连接，将所述程序更新文件传输至所述电机设备；
    对应的，
    接收模块，还用于若所述程序更新文件校验不成功，则再次接收所述电子设备发送的程序更新文件。
  10. 根据权利要求8所述的装置，其特征在于，所述接收模块，还用于接收用户指令；
    对应的，
    所述确定模块，用于基于所述用户指令，读取所述电机诊断设备对应的存储设备中存储的目标程序文件；
    所述发送模块，用于将所述目标程序文件传输至所述电机设备。
  11. 一种电机诊断设备，其特征在于，包括：
    存储器和处理器，所述存储器和所述处理器之间互相通信连接，所述存储器中存储有计算机指令，所述处理器通过执行所述计算机指令，从而执行权利要求1至7中任意项所述的电机诊断方法。
  12. 一种电机诊断系统，其特征在于，包括：电机诊断系统包括电机设备、所述电机诊断设备以及电子设备，所述电机设备与所述电机诊断设备通信连接，所述电机诊断设备执行权利要求1至7中任意项所述的电机诊断方法。
  13. 一种计算机可读存储介质，其特征在于，所述计算机可读存储介质上存储有计算机指令，所述计算机指令用于使计算机执行权利要求1至7中任意项所述的电机诊断方法。
  14. 一种计算机程序产品，其特征在于，包括计算机指令，所述计算机指令用于使计算机执行权利要求1至7中任意项所述的电机诊断方法。
PCT/CN2025/096833 2024-07-31 2025-05-23 电机诊断方法、装置、电机诊断设备及电机诊断系统 Pending WO2026026164A1 (zh)

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