Online monitoring and data recording system of high-speed magnetic suspension motor frequency converter

Abstract

The invention provides an online monitoring and data recording system of a high-speed magnetic suspension motor frequency converter, and relates to the technical field of research, development and maintenance of frequency converters. The system comprises a high-speed digital signal processor, a first processor, a synchronous dynamic random access memory and a first memory, after the system is powered on, the high-speed digital signal processor collects first data in real time and dynamically caches the first data to the synchronous dynamic random access memory; after the high-speed digital signal processor receives a target triggering instruction, the high-speed digital signal processor collects second data in real time and dynamically caches the second data to the synchronous dynamic random access memory; and after the second data is dynamically cached to the synchronous dynamic random access memory, the high-speed digital signal processor transmits third data to the first processor, the first processor performs timestamp configuration on the third data and stores the configured third data into the first memory, and the third data comprises the first data and the second data. The development efficiency and maintainability of the whole system can be improved.

Description

Technical Field

[0001] This application relates to the field of frequency converter maintenance technology, and in particular to an online monitoring and data recording system for a high-speed magnetic levitation motor frequency converter. Background Technology

[0002] High-speed magnetic levitation motors, due to their contactless, frictionless, and high-precision characteristics, have been widely used in transportation, power, and energy storage. Among these applications, the high-speed motor frequency converter, as a key component of the system, directly impacts the safety and energy efficiency of equipment operation. However, with the expansion of equipment scale and the increase in operating time, higher demands are placed on real-time monitoring and maintenance management. Traditional monitoring methods suffer from problems such as dispersed monitoring equipment, inconvenient instrument clamping, difficult on-site operations, and high costs. Summary of the Invention

[0003] This application provides an online monitoring and data recording system for high-speed magnetic levitation motor frequency converters to solve the problem of difficult on-site operation caused by existing frequency converter monitoring methods due to on-site environmental factors.

[0004] In a first aspect, this application provides an online monitoring and data recording system for a high-speed magnetic levitation motor frequency converter. The system includes a high-speed digital signal processor, a first processor, a synchronous dynamic random access memory, and a first memory. The high-speed digital signal processor is communicatively connected to the first processor and the synchronous dynamic random access memory, and the first processor is also communicatively connected to the first memory.

[0005] After the system is powered on, the high-speed digital signal processor collects the first data in real time and dynamically caches the first data into the synchronous dynamic random access memory; the first data consists of n sets of operating data, each set of operating data including the operating data of the high-speed magnetic levitation motor and the operating data when the frequency converter controls the high-speed magnetic levitation motor, where n is a positive integer;

[0006] After receiving the target trigger command, the high-speed digital signal processor acquires the second data in real time and caches the second data in the synchronous dynamic random access memory; the second data consists of m sets of running data, where m is a positive integer;

[0007] After the second data is dynamically cached to the synchronous dynamic random access memory, the high-speed digital signal processor transmits the third data to the first processor. The first processor timestamps the third data and stores the configured third data in the first memory. The third data includes the first data and the second data.

[0008] This application provides an online monitoring and data recording system for a high-speed magnetic levitation motor frequency converter. Through the rational communication connection and collaborative operation between a high-speed digital signal processor, a first processor, a synchronous dynamic random access memory (DRAM), and a first memory, this application achieves an efficient process for data acquisition, caching, updating, processing, and storage. This architecture fully leverages the advantages of each component, improving the overall operating efficiency of the online monitoring and data recording system and reducing the risk of data loss and errors, thus providing a favorable guarantee for the safe and stable operation of the high-speed magnetic levitation motor frequency converter. Furthermore, by acquiring data on the high-speed magnetic levitation motor and frequency converter in real time through the high-speed digital signal processor, various status information of the motor and frequency converter during operation can be obtained promptly. This real-time acquisition ensures accurate understanding of the system's operating status, providing a basis for subsequent analysis and decision-making. It provides a timely and accurate data foundation; furthermore, it utilizes synchronous dynamic random access memory (DRAM) to dynamically cache the acquired first and second data. DRAM has a high read and write speed, which can meet the high-speed storage requirements of real-time data acquisition by high-speed digital signal processors. The dynamic caching method can flexibly adjust the storage and retrieval of data according to the system's operating conditions, improving the efficiency and flexibility of data processing. At the same time, the high-speed digital signal processor integrates the first and second data into a third data transmission to the first processor. The first processor timestamps the third data and stores it in the first memory. In this way, engineers can clearly understand the chronological order of data generation, which facilitates the analysis of changes in the system's operating status at different points in time, accurately determines the time and cause of faults, and improves the accuracy and efficiency of fault diagnosis. Attached Figure Description

[0009] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0010] Figure 1 This is a schematic diagram of the online monitoring and data recording system for a high-speed magnetic levitation motor frequency converter provided in this application embodiment;

[0011] Figure 2 This is a flowchart illustrating the implementation of online monitoring and data recording provided in the embodiments of this application;

[0012] Figure 3 This is a data illustration presented in tabular form according to an embodiment of this application;

[0013] Figure 4This is a schematic diagram of data presented in curve form according to an embodiment of this application;

[0014] Figure 5 This is a schematic diagram of the current during a motor failure provided in an embodiment of this application. Detailed Implementation

[0015] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0016] To make the objectives, technical solutions, and advantages of this application clearer, the following description will be provided in conjunction with the accompanying drawings and specific embodiments.

[0017] In the development of high-speed magnetic levitation motor frequency converters, traditional methods typically involve online monitoring using oscilloscopes and various current and voltage probes. However, such instruments are often unavailable in the field, making it difficult to record the converter's operating parameters and contextual data when abnormal faults occur. This hinders fault simulation and further cause analysis. To ensure stable operation of the frequency converter, this application proposes an online monitoring and data recording system for high-speed magnetic levitation motor frequency converters. This system can monitor key parameters of the frequency converter in real time. When a system fault occurs or a remote trigger signal is received, the waveform recording function is activated, recording the data waveforms for a period of time before and after the trigger. The data can be read out and analyzed at any time. Combined with analysis software, the data is presented in tabular or graphical form, helping technicians quickly analyze the cause of the fault and providing a visual data reference for troubleshooting and handling. During the R&D phase, key parameter information can also be viewed by manually triggering waveform recording, improving R&D efficiency, enhancing product stability, and accelerating product launch.

[0018] Figure 1 This is a schematic diagram of the online monitoring and data recording system for a high-speed magnetic levitation motor frequency converter provided in an embodiment of this application. Figure 1 As shown, the online monitoring and data recording system for the high-speed magnetic levitation motor frequency converter includes a high-speed digital signal processor 1, a first processor 2, a synchronous dynamic random access memory 3, and a first memory 4. The high-speed digital signal processor 1 is communicatively connected to the first processor 2 and the synchronous dynamic random access memory 3, and the first processor 2 is also communicatively connected to the first memory 4.

[0019] In this embodiment, the high-speed digital signal processor is a DSP. The first processor is an ARM processor. The synchronous dynamic random access memory is SDRAM. This embodiment utilizes the high-speed read / write characteristics of SDRAM for rapid waveform recording, capturing more details. The first memory is an embedded memory eMMC. This embodiment utilizes the large capacity of eMMC to store long-term real-time operating data, which can be remotely downloaded and analyzed, providing high reference value for optimizing product performance. Furthermore, the large-capacity eMMC storage device can guarantee the storage of more than one year's worth of operating data.

[0020] After the system is built, based on Figure 1 and Figure 2 The execution process is as follows:

[0021] After the system is powered on, the high-speed digital signal processor 1 collects the first data in real time and dynamically caches the first data into the synchronous dynamic random access memory 3; the first data consists of n sets of operating data, each set of operating data including the operating data of the high-speed magnetic levitation motor and the operating data when the frequency converter controls the high-speed magnetic levitation motor, where n is a positive integer.

[0022] During normal operation, the high-speed digital signal processor performs routine data recording at preset intervals. These preset intervals can be 1ms, 0.5ms, or even shorter.

[0023] The first data is collected in real time and dynamically cached in a synchronous dynamic random access memory (DRAM). That is, as time changes, the first data in the current DRAM is constantly updated.

[0024] For example, after the system is powered on, the high-speed digital signal processor 1 allocates a buffer in the synchronous dynamic random access memory 3, and collects multiple sets of running data at preset acquisition intervals to form first data, and records the first data in the synchronous dynamic random access memory 3. The first data can be 1000 sets of running data, 1500 sets of running data, or more.

[0025] In this embodiment, after the system is powered on, the high-speed digital signal processor can promptly collect multiple sets of operating data (i.e., the first data) from the operation of the high-speed magnetic levitation motor and the operation of the motor controlled by the frequency converter, and dynamically cache them in the synchronous dynamic random access memory. This design utilizes the high-performance processing capability of the high-speed digital signal processor and the high-speed read / write characteristics of the synchronous dynamic random access memory to ensure the timeliness and accuracy of data acquisition, providing a rich data foundation for subsequent comprehensive monitoring and analysis of the motor's operating status.

[0026] After receiving the target trigger command, the high-speed digital signal processor 1 collects the second data in real time and dynamically caches the second data into the synchronous dynamic random access memory 3; the second data consists of m sets of running data, where m is a positive integer.

[0027] In this embodiment, the amount of running data in the first data may be the same as or different from the amount of running data in the second data, depending on the actual situation. However, it should be clearly stated that the first data is the latest data before receiving the target trigger command, and the second data is the latest data after receiving the target trigger command.

[0028] Furthermore, the synchronous dynamic random access memory always reserves the space for m sets of running data, providing storage space for the second data collected after receiving the target trigger command.

[0029] In this embodiment, when the high-speed digital signal processor receives a target trigger command, it can collect new operating data (i.e., second data) and dynamically cache the new operating data in the synchronous dynamic random. This mechanism ensures that there is enough space in the memory to store new data while retaining a certain amount of historical data. This allows the system to flexibly record key data changes during motor operation with limited storage resources, providing more comprehensive information for fault diagnosis and performance analysis.

[0030] After the second data is dynamically cached to the synchronous dynamic random access memory 3, the high-speed digital signal processor 1 transmits the third data to the first processor 2. The first processor 2 timestamps the third data and stores the configured third data in the first memory 4. The third data includes the first data and the second data.

[0031] The embodiments of this application enable the system to trace the cause of a fault when it occurs.

[0032] In this process, after the second data is cached in the synchronous dynamic random access memory 3, the high-speed digital signal processor 1 transmits all the third data (i.e., the first data and the second data) to the first processor, and after configuring the timestamp, stores all of it in the first memory 4.

[0033] In this embodiment, the high-speed digital signal processor transmits the updated data (i.e., the third data) to the first processor, which then timestamps the data. Adding timestamps records accurate time information for each data entry, which is crucial for analyzing the changing patterns of motor operating status over time, pinpointing the time of fault occurrence, and evaluating system performance. This significantly improves the accuracy and reliability of data analysis.

[0034] Furthermore, in this embodiment, the third data, after being timestamped, is stored in the first memory, ensuring long-term data preservation. As the system's data storage center, the first memory provides a stable storage environment for subsequent data playback, analysis, and processing. This allows staff to easily retrieve historical data for in-depth analysis, helping to promptly identify potential problems, optimize system operating parameters, and improve the overall stability and reliability of the high-speed magnetic levitation motor inverter system.

[0035] In this embodiment, the data recording triggering method includes two types: the target triggering command includes a first triggering command and a second triggering command. The first triggering command is an automatic fault triggering mode, and the second triggering command is a remote manual triggering mode.

[0036] In one possible implementation, the target triggering instruction may include a first triggering instruction, and the process of determining the first triggering instruction is as follows:

[0037] After acquiring the first data, the high-speed digital signal processor determines whether the first data exceeds a preset threshold. If the first data exceeds the preset threshold, the high-speed digital signal processor generates a first trigger command and triggers the system's fault alarm device. The first trigger command indicates that a system fault has occurred.

[0038] Optionally, after the high-speed digital signal processor acquires the first data, it monitors in real time whether each group of operating data in the first data exceeds a preset threshold. If it does, it indicates that the currently running system has malfunctioned. The high-speed digital signal processor generates a first trigger command and triggers the system's fault alarm device to remind technicians that the system is currently in a faulty state.

[0039] In one possible implementation, the target trigger instruction includes a second trigger instruction, which is a trigger signal remotely sent by the operator and received by the high-speed digital signal processor.

[0040] Optionally, when the high-speed digital signal processor receives a remote trigger signal from a technician, i.e., after receiving the second trigger command, it performs waveform recording. The high-speed digital signal processor locks the first n sets of running data and begins recording the next m sets of running data. The first n sets of running data are the first data closest to the moment the target trigger command was received, and the next m sets of running data are the second data. That is, the time interval between the first and second data is connected by the moment of the target trigger command, and the first and second data represent running data within a complete time interval.

[0041] In one possible implementation, refer to Figure 1 The system may also include sensor 5, which is communicatively connected to high-speed digital signal processor 1 and high-speed magnetic levitation motor M.

[0042] After the system is powered on, the high-speed digital signal processor 1 receives the operating data of the high-speed magnetic levitation motor M collected by the sensor 5.

[0043] Optionally, the sensors in this application embodiment include multiple types of sensors, which respectively collect the operating data of the high-speed magnetic levitation motor M, including bus voltage, three-phase instantaneous current and other data.

[0044] In one possible implementation, refer to Figure 1 After the system is powered on, the high-speed digital signal processor 1 uses the field-oriented control algorithm (FOC) to calculate the operating data of the frequency converter controlling the high-speed magnetic levitation motor M.

[0045] Optionally, in this embodiment, the operating data generated when controlling the high-speed magnetic levitation motor M using the Field Oriented Control (FOC) algorithm can also be included, but is not limited to, electrical angular velocity ω, voltage and current in the stationary coordinate system (α-β axis), voltage and current in the rotating coordinate system (dq axis), PI controller output, and modulated wave (U) after inverse Park transform. α U β ), back electromotive force (E) α E β ), estimate rotor position (θ_est), estimate rotational speed (ω_est), and other data.

[0046] In one possible implementation, refer to Figure 1 The system may also include a universal asynchronous transceiver 6, which is communicatively connected to the high-speed digital signal processor 1 and the first processor 2, respectively.

[0047] After the second data is dynamically cached in the synchronous dynamic random access memory 3, the high-speed digital signal processor 1 transmits the third data to the first processor 2 through the universal asynchronous transceiver 6.

[0048] In this embodiment of the application, the universal asynchronous transceiver is a UART used for asynchronous communication.

[0049] Optionally, after the second data is dynamically cached in the synchronous dynamic random access memory 3, the high-speed digital signal processor 1 transmits the data to the first processor 2 through the universal asynchronous transceiver 6 interface in the order of data acquisition time.

[0050] In one possible implementation, the first processor 2 is also used for:

[0051] After receiving the third data, the first processor 2 adds a timestamp to each data item in the third data and then stores it in the first memory 4 as a file. In order to distinguish different waveform recording files, this embodiment specifies the file name format as: fault-yyyymmdd-hhmmss.log.

[0052] In one possible implementation, refer to Figure 1 After storing the configured third data in the first memory 4, the first processor 2 sends the data in the first memory 4 to a remote monitor via Ethernet for data display.

[0053] Optionally, in this embodiment of the application, the file containing the third data is sent to a remote monitor via Ethernet to achieve remote acquisition and monitoring of detailed data, thus avoiding on-site operations.

[0054] In one possible implementation, refer to Figure 1 The system may also include a real-time clock 7, which is communicatively connected to the first processor 2.

[0055] After the high-speed digital signal processor 1 transmits the third data to the first processor 2, the first processor 2 calls the real-time clock 7 to timestamp the third data.

[0056] In this embodiment of the application, the real-time clock is an RTC.

[0057] Optionally, the first processor 2 timestamps the third data using a real-time clock 7.

[0058] In one possible implementation, refer to Figure 1 The system may also include an I / O interface 8, which is connected to the first processor 2.

[0059] The first processor 2 connects to the outside of the system through the IO interface 8.

[0060] For example, refer to Figure 1 Based on the online monitoring and data recording system for the high-speed magnetic levitation motor frequency converter provided in this application embodiment, data analysis is performed, and the process is as follows:

[0061] The waveform recording file is loaded into the analysis software of the corresponding remote monitor via Ethernet, as per [reference needed]. Figure 3 The software will display 1000 sets of operational data in tabular form; refer to Figure 4 The operating data, which is of interest to technicians, can also be plotted as curves for analysis. This allows for a detailed view of the inverter's operation and data parameters, providing valuable insights for operational status analysis and optimization. Furthermore, recording data before and after a fault is crucial for fault analysis, offering strong data support for troubleshooting.

[0062] The embodiments of this application offer highly practical assistance in troubleshooting anomalies. During the R&D and testing phase, some data, such as continuity, electrical angle, and data in a rotating coordinate system, cannot be observed with an oscilloscope. However, these data can be observed by manually triggering the waveform recording function, assisting R&D personnel in observing more details. In the operational field, since it is impossible to monitor operational data in real time at all times, the fault waveform data generated by the embodiments of this application becomes particularly important in the event of an anomaly. It can provide highly reliable data for identifying the cause of the fault, accurately reconstructing the fault scene, and is highly beneficial for troubleshooting. Furthermore, by viewing the status data from the past few hours or days, the entire operational process can be reconstructed relatively completely. By analyzing this process, we can better optimize the system and improve the stability of the entire operating system.

[0063] For example, refer to Figure 5 During a test, the motor reported an overcurrent fault. After checking the data, the current was 0, but the bus voltage was higher than normal. Normally, we would assume the overcurrent caused the high bus voltage, so we would first look for the overcurrent. However, by reviewing the waveform data, we found that the bus voltage was gradually increased within 300ms before the overcurrent fault. This indicated that the problem was that the bus voltage was initially high, and then the overcurrent issue arose due to the excessively high bus voltage. This saved us a lot of troubleshooting time.

[0064] This application provides an online monitoring and data recording system for a high-speed magnetic levitation motor frequency converter. Through the rational communication connection and collaborative operation between a high-speed digital signal processor, a first processor, a synchronous dynamic random access memory (DRAM), and a first memory, this application achieves an efficient process for data acquisition, caching, updating, processing, and storage. This architecture fully leverages the advantages of each component, improving the overall operating efficiency of the online monitoring and data recording system and reducing the risk of data loss and errors, thus providing a favorable guarantee for the safe and stable operation of the high-speed magnetic levitation motor frequency converter. Furthermore, by acquiring data on the high-speed magnetic levitation motor and frequency converter in real time through the high-speed digital signal processor, various status information of the motor and frequency converter during operation can be obtained promptly. This real-time acquisition ensures accurate understanding of the system's operating status, providing a basis for subsequent analysis and decision-making. It provides a timely and accurate data foundation; furthermore, it utilizes synchronous dynamic random access memory (DRAM) to dynamically cache the acquired first and second data. DRAM has a high read and write speed, which can meet the high-speed storage requirements of real-time data acquisition by high-speed digital signal processors. The dynamic caching method can flexibly adjust the storage and retrieval of data according to the system's operating conditions, improving the efficiency and flexibility of data processing. At the same time, the high-speed digital signal processor integrates the first and second data into a third data transmission to the first processor. The first processor timestamps the third data and stores it in the first memory. In this way, engineers can clearly understand the chronological order of data generation, which facilitates the analysis of changes in the system's operating status at different points in time, accurately determines the time and cause of faults, and improves the accuracy and efficiency of fault diagnosis.

[0065] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0066] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. An online monitoring and data recording system for a high-speed magnetic levitation motor frequency converter, characterized in that, It includes a high-speed digital signal processor, a first processor, a synchronous dynamic random access memory (SDRAM), and a first memory; the high-speed digital signal processor is communicatively connected to the first processor and the SDRAM, and the first processor is also communicatively connected to the first memory; After the system is powered on, the high-speed digital signal processor acquires the first data in real time and dynamically caches the first data into the synchronous dynamic random access memory; The first data consists of n sets of operating data. Each set of operating data includes the operating data of the high-speed magnetic levitation motor and the operating data when the frequency converter controls the high-speed magnetic levitation motor, where n is a positive integer. After receiving the target trigger command, the high-speed digital signal processor acquires the second data in real time and dynamically caches the second data into the synchronous dynamic random access memory. The second data consists of m sets of running data, where m is a positive integer; After the second data is dynamically cached to the synchronous dynamic random access memory, the high-speed digital signal processor transmits the third data to the first processor. The first processor timestamps the third data and stores the configured third data in the first memory. The third data includes the first data and the second data.

2. The online monitoring and data recording system for a high-speed magnetic levitation motor frequency converter according to claim 1, characterized in that, The target triggering instruction includes a first triggering instruction, and the process of determining the first triggering instruction is as follows: After acquiring the first data, the high-speed digital signal processor determines whether the first data exceeds a preset threshold. If the first data exceeds the preset threshold, the high-speed digital signal processor generates the first trigger instruction and triggers the fault alarm device of the system. The first trigger instruction indicates that the system has malfunctioned.

3. The online monitoring and data recording system for a high-speed magnetic levitation motor frequency converter according to claim 1, characterized in that, The target triggering instruction includes a second triggering instruction, which is a trigger signal remotely sent by the operator and received by the high-speed digital signal processor.

4. The online monitoring and data recording system for a high-speed magnetic levitation motor frequency converter according to claim 1, characterized in that, The system also includes sensors, which are communicatively connected to the high-speed digital signal processor and the high-speed magnetic levitation motor, respectively. After the system is powered on, the high-speed digital signal processor receives the operating data of the high-speed magnetic levitation motor collected by the sensor.

5. The online monitoring and data recording system for a high-speed magnetic levitation motor frequency converter according to claim 4, characterized in that, After the system is powered on, the high-speed digital signal processor uses a field-oriented control algorithm to calculate the operating data of the frequency converter controlling the high-speed magnetic levitation motor.

6. The online monitoring and data recording system for a high-speed magnetic levitation motor frequency converter according to claim 1, characterized in that, The system also includes a universal asynchronous transceiver, which is communicatively connected to the high-speed digital signal processor and the first processor, respectively. After the second data is dynamically cached in the synchronous dynamic random access memory, the high-speed digital signal processor transmits the third data to the first processor through the universal asynchronous transceiver.

7. The online monitoring and data recording system for a high-speed magnetic levitation motor frequency converter according to claim 1, characterized in that, After storing the configured third data in the first memory, the first processor sends the data in the first memory to a remote monitor via Ethernet for data display.

8. The online monitoring and data recording system for a high-speed magnetic levitation motor frequency converter according to claim 1, characterized in that, The system also includes a real-time clock, which is communicatively connected to the first processor. After the high-speed digital signal processor transmits the third data to the first processor, the first processor calls the real-time clock to timestamp the third data.

9. The online monitoring and data recording system for a high-speed magnetic levitation motor frequency converter according to claim 1, characterized in that, The system also includes an I / O interface, which is connected to the first processor; The first processor connects to the outside of the system through the I / O interface.

10. The online monitoring and data recording system for a high-speed magnetic levitation motor frequency converter according to claim 1, characterized in that, The first processor is an ARM processor.

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