A safe operation monitoring system and method for a permanent magnet synchronous drive

Abstract

The application relates to the technical field of intelligent control of motor operation, and discloses a running safety supervision system and method of a permanent magnet synchronous driver; based on a three-dimensional model of a permanent magnet synchronous motor and a worn-out fault bearing, three-dimensional design software and mechanical vibration simulation software are combined to scientifically simulate vibration spectrum information of the worn-out fault bearing of the permanent magnet synchronous motor, the vibration spectrum diagram of the bearing of the permanent magnet synchronous motor is combined with the simulated vibration spectrum diagram of the worn-out fault bearing of the permanent magnet synchronous motor to realize interactive verification of the worn-out fault of the bearing of the permanent magnet synchronous motor, realize the vibration spectrum diagram of the worn-out fault bearing based on the digital simulation of the real running condition of the permanent magnet synchronous motor, realize interactive scientific monitoring of the worn-out fault of the bearing of the permanent magnet synchronous motor based on the collection of the vibration spectrum of the worn-out fault bearing and the numerical simulation spectrum, and the accuracy of running safety supervision of the permanent magnet synchronous driver is improved.

Description

Technical Field

[0001] This invention relates to the technical field of intelligent control of electric motor operation, specifically to a system and method for monitoring the safe operation of a permanent magnet synchronous drive. Background Technology

[0002] A permanent magnet synchronous drive (PMSM) is a high-efficiency motor drive system based on PMSM technology. It utilizes rare-earth permanent magnets on the rotor to generate a constant magnetic field, synchronized with the rotating electromagnetic field generated by the stator windings, achieving precise energy conversion and avoiding rotor losses. Core components include the PMSM motor itself (either surface-mounted or integrated), a drive controller (including an IGBT inverter to convert DC to adjustable AC, and a DSP or MCU control unit to execute vector control algorithms), sensors (such as encoders or resolvers to provide real-time position and speed feedback), and a power system (battery or AC grid power). Its operating principle relies on field-oriented control (FOC) or direct torque control (DTC), adjusting the current phase and amplitude through a closed-loop system to ensure high-precision speed and torque regulation. It boasts outstanding advantages such as efficiency exceeding 95% (superior to induction motors), high power density, fast dynamic response, low operating noise, and energy efficiency. Its applications are wide-ranging, covering electric vehicles (e.g., drive motors), industrial automation (servo drives and robots), home appliances (air conditioning compressors), and renewable energy (wind power), promoting green manufacturing and intelligent transportation. Driven by the optimization of rare earth materials and AI control algorithms, technological evolution is moving towards integration and intelligence to meet the needs of carbon neutrality. Among these advancements, the monitoring of bearing wear in permanent magnet synchronous motors (PMSMs) within permanent magnet synchronous drives (PMSMs) has become a crucial safeguard for ensuring the safe and reliable operation of PMSMs. Existing PMSM bearing wear monitoring systems cannot scientifically identify bearing wear fault types based on vibration frequency characteristics, nor can they intelligently simulate and verify bearing wear faults based on digital modeling technology, thus reducing the overall safety and service life of PMSMs.

[0003] Chinese invention patent CN116545307B, published on April 16, 2024, discloses a DC brushless motor control system and method. By setting up a brushless motor control unit, a switching circuit control terminal, a safety hazard monitoring unit, and a remote power-on management unit, it receives motor current data, encrypts and protects normal current data, handles existing risks, and marks potential risks. This facilitates remote and precise monitoring and control of each control environment, accelerates the simultaneous control of multiple brushless motors, and manages, visualizes, and stores brushless motor current control data and corresponding analysis results. It also helps to achieve brushless motor current control data management through internet cloud management, improving the intelligence level of brushless motor current control data management. However, the above technical solution cannot achieve intelligent and reliable monitoring of mechanical faults in the bearings of brushless motors. Summary of the Invention

[0004] (a) Technical problems to be solved

[0005] To address the issues mentioned above regarding existing permanent magnet synchronous motor (PMSM) bearing wear monitoring, which fails to scientifically identify bearing wear fault types based on vibration frequency characteristics and lacks intelligent simulation verification of bearing wear faults using digital modeling technology, thus reducing the overall operational safety and service life of the PMSM drive, this new method aims to achieve the following: real-time acquisition of PMSM bearing vibration spectrum diagrams; scientific analysis of PMSM bearing wear faults based on vibration spectrum; efficient acquisition of PMSM 3D models; intelligent matching of PMSM bearing 3D models with wear faults; digital simulation of PMSM bearing vibration spectrum diagrams with wear faults; bidirectional interactive scientific monitoring of PMSM bearing wear faults; and ultimately, improved overall operational safety and service life of the PMSM drive.

[0006] (II) Technical Solution

[0007] This invention is achieved through the following technical solution: a method for monitoring the operational safety of a permanent magnet synchronous drive, the method comprising the following steps:

[0008] S1. Collect characteristic information of the permanent magnet synchronous motor and vibration spectrum of the permanent magnet synchronous motor bearing respectively; analyze and process the wear fault of the permanent magnet synchronous motor bearing to obtain wear fault analysis information of the permanent magnet synchronous motor bearing; repeat S1 if there is no wear fault.

[0009] S2. When wear faults exist, the three-dimensional model information of the permanent magnet synchronous motor is searched based on the object information of the permanent magnet synchronous motor; the three-dimensional model information of the bearing with wear fault of the permanent magnet synchronous motor is matched according to the vibration spectrum information of the bearing of the permanent magnet synchronous motor.

[0010] S3. Based on the three-dimensional model information of the permanent magnet synchronous motor and the worn bearing, simulate the vibration spectrum information of the worn bearing of the permanent magnet synchronous motor to obtain the simulated vibration spectrum diagram of the worn bearing of the permanent magnet synchronous motor; verify the wear fault of the permanent magnet synchronous motor bearing to obtain the wear fault verification information of the permanent magnet synchronous motor bearing; if the verification fails, repeat S2 and S3.

[0011] S4. When the verification is successful, obtain the fault diagnosis result information of the permanent magnet synchronous motor and execute the fault early warning operation of the permanent magnet synchronous motor.

[0012] Preferably, characteristic information of the permanent magnet synchronous motor and vibration spectrum diagram of the permanent magnet synchronous motor bearing are collected respectively; the wear fault of the permanent magnet synchronous motor bearing is analyzed and processed to obtain wear fault analysis information of the permanent magnet synchronous motor bearing; when there is no wear fault, the operation steps of S1 are repeated as follows:

[0013] S11. Obtain the target permanent magnet synchronous motor object's number, model, and name text information online through the equipment monitoring cloud platform, and generate permanent magnet synchronous motor characteristic information. The equipment monitoring cloud platform includes either the Jiandao Cloud Equipment Management System or the Yidian Yidong Equipment Management System.

[0014] By using a vibration sensor and a vibration analyzer, the vibration frequency spectral density image of the internal bearing of the target permanent magnet synchronous motor under normal operating conditions is obtained online, and a vibration spectrum diagram of the permanent magnet synchronous motor bearing is generated.

[0015] S12. Based on the vibration spectrum diagram of the permanent magnet synchronous motor bearing and the standard vibration spectrum diagram set of permanent magnet synchronous motor bearing wear faults, perform wear fault analysis and processing of the permanent magnet synchronous motor bearing to obtain wear fault analysis information of the permanent magnet synchronous motor bearing; when there is no wear fault, repeat S1.

[0016] Preferably, the wear fault analysis of the permanent magnet synchronous motor bearing is performed based on the vibration spectrum diagram of the permanent magnet synchronous motor bearing and the standard vibration spectrum diagram set of permanent magnet synchronous motor bearing wear faults to obtain wear fault analysis information of the permanent magnet synchronous motor bearing; when there is no wear fault, the operation steps of S1 are repeated as follows:

[0017] S121. Establish a standard vibration spectrum atlas for bearing wear faults in permanent magnet synchronous motors. ,in Indicates the first The standard vibration spectrum diagram of bearing wear failure in permanent magnet synchronous motors corresponding to different bearing wear failure types is provided. The bearing wear failure types include bearing inner ring wear failure type, bearing outer ring wear failure type, bearing rolling element wear failure type, and bearing cage wear failure type. The standard vibration spectrum diagram of bearing wear failure in permanent magnet synchronous motors represents the image information of standard bearing vibration frequency spectral density collected based on the bearing wear failure type of the bearing inside the target permanent magnet synchronous motor.

[0018] S122. The ORB image matching algorithm is used to match the vibration spectrum diagram of the permanent magnet synchronous motor bearing with the standard vibration spectrum diagram of the permanent magnet synchronous motor bearing wear fault. The standard vibration spectrum diagram of bearing wear failure in permanent magnet synchronous motor described in the figure Vibration spectrum image feature matching is performed, and permanent magnet synchronous motor bearing wear fault analysis information is generated based on the vibration spectrum image feature matching results.

[0019] When the vibration spectrum diagram of the permanent magnet synchronous motor bearing is Successful vibration spectrum image feature matching indicates that the internal bearing of the target permanent magnet synchronous motor has a first... If a certain type of bearing wear fault is detected, the output of the permanent magnet synchronous motor bearing wear fault analysis information will indicate the presence of a wear fault. In this case, the output of the first type of bearing wear fault will be... Text information on different types of bearing wear failures;

[0020] When the vibration spectrum diagram of the permanent magnet synchronous motor bearing is If no matching of vibration spectrum image features is found, it indicates that there is no wear fault in the bearing inside the target permanent magnet synchronous motor. In this case, the output of the permanent magnet synchronous motor bearing wear fault analysis information is that there is no wear fault. At this time, step S1 is repeated until the permanent magnet synchronous motor bearing wear fault analysis information shows that there is a wear fault.

[0021] Preferably, when wear faults exist, the following steps are taken to search for the three-dimensional model information of the permanent magnet synchronous motor based on the object information of the permanent magnet synchronous motor; and to match the three-dimensional model information of the bearing with wear faults in the permanent magnet synchronous motor based on the vibration spectrum information of the bearing:

[0022] S21. When the bearing wear fault analysis information of the permanent magnet synchronous motor indicates the presence of wear fault, establish a standard three-dimensional model information set for the permanent magnet synchronous motor. ,in Indicates the first The standard three-dimensional model information of the permanent magnet synchronous motor corresponding to each permanent magnet synchronous motor object; the standard three-dimensional model information of the permanent magnet synchronous motor represents the whole machine three-dimensional solid model information of the permanent magnet synchronous motor under the theoretical design state set for different permanent magnet synchronous motor objects;

[0023] S22. Using a breadth-first search algorithm, the feature information of the permanent magnet synchronous motor is compared with the standard three-dimensional model information set of the permanent magnet synchronous motor. The standard three-dimensional model information of the permanent magnet synchronous motor described in the article Perform textual matching of permanent magnet synchronous motor object features to search for the standard 3D model information of the permanent magnet synchronous motor corresponding to the feature information of the permanent magnet synchronous motor. The data is then used to generate a three-dimensional model of the permanent magnet synchronous motor, which represents the three-dimensional solid model information of the entire machine under the theoretical design state of the target permanent magnet synchronous motor.

[0024] S23. Based on the vibration spectrum diagram of the permanent magnet synchronous motor bearing and the standard three-dimensional model information set of the permanent magnet synchronous motor wear fault bearing, perform standard three-dimensional model search processing of the internal wear fault bearing of the target permanent magnet synchronous motor to obtain the three-dimensional model information of the wear fault bearing of the permanent magnet synchronous motor.

[0025] Preferably, the steps for performing a standard 3D model search process on the target permanent magnet synchronous motor internal wear-fault bearing to obtain the 3D model information of the permanent magnet synchronous motor wear-fault bearing based on the vibration spectrum diagram of the permanent magnet synchronous motor bearing and the standard 3D model information set of the permanent magnet synchronous motor wear-fault bearing are as follows:

[0026] S231. Establish a standard three-dimensional model information set for bearing wear faults in permanent magnet synchronous motors. ,in Indicates the first The standard three-dimensional model information of the bearing wear failure of the permanent magnet synchronous motor corresponding to the bearing wear failure type; the standard three-dimensional model information of the bearing wear failure of the permanent magnet synchronous motor represents the three-dimensional solid model information of the bearing wear failure under the theoretical design state based on the vibration spectrum diagram of different bearing wear failure types of the internal bearing of the target permanent magnet synchronous motor.

[0027] S232. Combine the vibration spectrum diagram of the permanent magnet synchronous motor bearing with the information set of the standard three-dimensional model of the wear fault bearing of the permanent magnet synchronous motor. The standard three-dimensional model information of the bearing wear fault of the permanent magnet synchronous motor described in the article By performing bearing vibration spectrum image feature matching, the standard three-dimensional model information of the permanent magnet synchronous motor bearing wear fault bearing corresponding to the vibration spectrum image of the permanent magnet synchronous motor bearing is retrieved. The data is then used to generate a three-dimensional model of the worn bearing fault in the permanent magnet synchronous motor. The specific steps for generating the three-dimensional model of the worn bearing fault in the permanent magnet synchronous motor are as follows:

[0028] S2321. Initialization Phase: Update the maximum number of iterations. In the standard three-dimensional model information set of the bearing wear fault of the permanent magnet synchronous motor The search space is used to initialize and update the model, selecting the position of the female spider wasp; the formula for initializing and updating the position is... ,in Indicates the first The model selects female spider wasps in a spatial dimension of [missing information]. Information set of standard three-dimensional models of bearing wear failure in permanent magnet synchronous motors The initial position in the search space; Indicates the value random function, and These represent the information set of the standard three-dimensional model of the bearing worn by the female spider wasp in the permanent magnet synchronous motor. The upper and lower boundaries of the search space;

[0029] S2322, Search Phase: The model selects a female spider wasp at a constant step size in the standard three-dimensional model information set of the permanent magnet synchronous motor wear fault bearing. Randomly search the search space to find the standard three-dimensional model information of the permanent magnet synchronous motor bearing wear fault bearing that matches the vibration spectrum diagram of the permanent magnet synchronous motor bearing. Simultaneously, the model selection of female spider wasps in the standard three-dimensional model information set of the wear fault bearing of the permanent magnet synchronous motor is updated. The search position is determined within the search space, where the model selects the female spider wasp and updates the position using the following formula during the search phase: ,in and These represent the search phase, number 1 and 2 respectively. After the nth iteration and the th After the nth iteration The model selected a female spider wasp from the standard three-dimensional model information set of the bearing wear fault in the permanent magnet synchronous motor. The location within the search space; and These represent the search phase, number 1 and 2 respectively. After the nth iteration, the first one is randomly selected. The and the first The model selected a female spider wasp from the standard three-dimensional model information set of the bearing wear fault in the permanent magnet synchronous motor. The location within the search space; This indicates that the model selects a constant step size for the female spider wasp. ,in and They represent the values ​​respectively. A random function;

[0030] S2323, Follow-up and Hunting Phase: The model selects a female spider wasp at random step sizes in the standard three-dimensional model information set of the permanent magnet synchronous motor wear fault bearing. Randomly search the search space to find the standard three-dimensional model information of the permanent magnet synchronous motor bearing wear fault bearing that matches the vibration spectrum diagram of the permanent magnet synchronous motor bearing. The prey, model selected, is a female spider-wasp that moves towards the standard 3D model information of the permanent magnet synchronous motor bearing wear fault bearing that best matches the vibration spectrum diagram of the bearing. The prey moves in a certain direction and its position is updated; the model selects the female spider wasp and updates its position using the following formula during the follow and hunt phases. ,in This indicates the first stage of the following and hunting phase. After the nth iteration The model selected a female spider wasp from the standard three-dimensional model information set of the bearing wear fault in the permanent magnet synchronous motor. The location within the search space; This indicates the first stage of the following and hunting phase. After the next iteration, the model selected the female spider wasp from the standard three-dimensional model information set of the bearing wear fault of the permanent magnet synchronous motor. The search space was used to find the standard three-dimensional model information of the permanent magnet synchronous motor bearing wear fault bearing that best matches the vibration spectrum diagram of the permanent magnet synchronous motor bearing. The optimal position; This indicates the random step size used by the model to select the female spider wasp. Indicates the value A random function;

[0031] S2324, When the maximum number of iterations is satisfied At that time, the standard three-dimensional model information of the bearing with wear failure of the permanent magnet synchronous motor that best matches the vibration spectrum diagram of the bearing of the permanent magnet synchronous motor is output. The data is then used to generate a three-dimensional model of the bearing with wear fault in the permanent magnet synchronous motor.

[0032] Preferably, based on the three-dimensional model information of the permanent magnet synchronous motor and the worn bearing, the vibration spectrum information of the worn bearing of the permanent magnet synchronous motor is simulated to obtain the simulated vibration spectrum diagram of the worn bearing of the permanent magnet synchronous motor; the wear fault of the permanent magnet synchronous motor bearing is verified to obtain the wear fault verification information of the permanent magnet synchronous motor bearing; if the verification fails, the operation steps S2 and S3 are repeated as follows:

[0033] S31. Based on the three-dimensional model information of the permanent magnet synchronous motor and the three-dimensional model information of the worn and faulty bearing of the permanent magnet synchronous motor, the vibration spectrum information of the worn and faulty bearing of the permanent magnet synchronous motor is simulated and processed to obtain the simulated vibration spectrum diagram of the worn and faulty bearing of the permanent magnet synchronous motor.

[0034] S32. Based on the vibration spectrum diagram of the permanent magnet synchronous motor bearing and the simulated vibration spectrum diagram of the permanent magnet synchronous motor bearing with wear fault, perform wear fault verification processing of the permanent magnet synchronous motor bearing to obtain wear fault verification information of the permanent magnet synchronous motor bearing. If the verification fails, repeat S2 and S3.

[0035] Preferably, the operation steps for simulating the vibration spectrum information of the permanent magnet synchronous motor bearing with wear and failure based on the three-dimensional model information of the permanent magnet synchronous motor and the three-dimensional model information of the bearing with wear and failure are as follows:

[0036] S311. Replace the normal bearing 3D model inside the permanent magnet synchronous motor corresponding to the permanent magnet synchronous motor 3D model information with the worn fault bearing 3D model corresponding to the worn fault bearing 3D model information of the permanent magnet synchronous motor using 3D design software, and generate 3D model information of the permanent magnet synchronous motor and the worn fault bearing assembly; the 3D design software includes any one of CATIA, UG, and ProE.

[0037] S312. Input the three-dimensional model information of the permanent magnet synchronous motor and the worn-fault bearing assembly into the mechanical vibration simulation software. The mechanical vibration simulation software performs vibration simulation of the worn-fault bearing under normal operating conditions of the permanent magnet synchronous motor based on the three-dimensional model of the permanent magnet synchronous motor corresponding to the three-dimensional model information of the permanent magnet synchronous motor and the worn-fault bearing assembly. Simultaneously, it collects the spectral image information of the worn-fault bearing vibration and obtains the simulated vibration spectrum diagram of the worn-fault bearing of the permanent magnet synchronous motor. The mechanical vibration simulation software includes any one of ANSYS Mechanical, COMSOL Multiphysics, Simulink, and Siemens Simcenter3D.

[0038] Preferably, the wear fault verification process of the permanent magnet synchronous motor bearing is performed based on the vibration spectrum diagram of the permanent magnet synchronous motor bearing and the simulated vibration spectrum diagram of the permanent magnet synchronous motor bearing with wear fault, to obtain the wear fault verification information of the permanent magnet synchronous motor bearing. If the verification fails, the operation steps S2 and S3 are repeated as follows:

[0039] S321. The FLANN image matching algorithm is used to perform bearing vibration spectrum image feature matching between the vibration spectrum diagram of the permanent magnet synchronous motor bearing and the simulated vibration spectrum diagram of the bearing with wear fault in the permanent magnet synchronous motor. Based on the bearing vibration spectrum image feature matching result, the wear fault verification information of the permanent magnet synchronous motor bearing is generated.

[0040] When the vibration spectrum diagram of the permanent magnet synchronous motor bearing is successfully matched with the simulated vibration spectrum diagram of the bearing with wear fault in the permanent magnet synchronous motor, it indicates that the wear fault type of the bearing inside the target permanent magnet synchronous motor has been accurately verified by numerical simulation. Then, the verification information of the wear fault of the permanent magnet synchronous motor bearing is output as a successful verification.

[0041] If the vibration spectrum diagram of the permanent magnet synchronous motor bearing fails to match the vibration spectrum image features of the simulated vibration spectrum diagram of the bearing with wear fault in the permanent magnet synchronous motor, it indicates that the wear fault type of the bearing inside the target permanent magnet synchronous motor has not been accurately verified by numerical simulation. In this case, the verification information of the permanent magnet synchronous motor bearing wear fault is output as unverified. At this time, S2 and S3 are repeated until the verification information of the permanent magnet synchronous motor bearing wear fault is verified successfully.

[0042] Preferably, when the verification is successful, the operation steps for obtaining the permanent magnet synchronous motor fault diagnosis result information and executing the permanent magnet synchronous motor fault early warning operation are as follows:

[0043] S41. When the verification information of the permanent magnet synchronous motor bearing wear fault is successful, the permanent magnet synchronous motor bearing wear fault analysis information and bearing wear fault type text information are generated into permanent magnet synchronous motor fault diagnosis result information through data identification.

[0044] S42. The fault diagnosis result information of the permanent magnet synchronous motor is transmitted to the equipment monitoring cloud platform through the Internet of Things communication network to perform the permanent magnet synchronous motor fault early warning operation.

[0045] A permanent magnet synchronous drive operation safety monitoring system is provided to implement the operation safety monitoring method of the permanent magnet synchronous drive. The system includes a permanent magnet synchronous motor fault identification module, a permanent magnet synchronous motor fault verification module, and a permanent magnet synchronous motor fault handling module.

[0046] The permanent magnet synchronous motor fault identification module includes a permanent magnet synchronous motor characteristic information acquisition unit, a permanent magnet synchronous motor bearing vibration spectrum acquisition unit, a permanent magnet synchronous motor bearing wear fault standard vibration spectrum storage unit, and a permanent magnet synchronous motor bearing wear fault analysis unit.

[0047] The permanent magnet synchronous motor feature information acquisition unit collects feature information of the permanent magnet synchronous motor through the equipment monitoring cloud platform; the permanent magnet synchronous motor bearing vibration spectrum acquisition unit collects vibration spectrum diagrams of the permanent magnet synchronous motor bearing through vibration sensors and vibration analyzers; the permanent magnet synchronous motor bearing wear fault standard vibration spectrum diagram storage unit is used to store the permanent magnet synchronous motor bearing wear fault standard vibration spectrum diagrams; the permanent magnet synchronous motor bearing wear fault analysis unit performs wear fault analysis processing on the permanent magnet synchronous motor bearing based on the permanent magnet synchronous motor bearing vibration spectrum diagram and the permanent magnet synchronous motor bearing wear fault standard vibration spectrum diagram to obtain permanent magnet synchronous motor bearing wear fault analysis information;

[0048] The permanent magnet synchronous motor fault verification module includes a standard three-dimensional model storage unit for permanent magnet synchronous motors, a three-dimensional model search unit for permanent magnet synchronous motors, a standard three-dimensional model storage unit for bearing wear faults in permanent magnet synchronous motors, a three-dimensional model matching unit for bearing wear faults in permanent magnet synchronous motors, a vibration spectrum simulation unit for bearing wear faults in permanent magnet synchronous motors, and a bearing wear fault verification unit for permanent magnet synchronous motors.

[0049] The permanent magnet synchronous motor standard 3D model storage unit is used to store the standard 3D model information of the permanent magnet synchronous motor; the permanent magnet synchronous motor 3D model search unit performs standard 3D model search processing on the target permanent magnet synchronous motor based on the permanent magnet synchronous motor feature information and the standard 3D model information to obtain the permanent magnet synchronous motor 3D model information; the permanent magnet synchronous motor wear fault bearing standard 3D model storage unit is used to store the standard 3D model information of the permanent magnet synchronous motor wear fault bearing; the permanent magnet synchronous motor wear fault bearing 3D model matching unit performs matching of the target permanent magnet synchronous motor internal wear fault bearing according to the permanent magnet synchronous motor bearing vibration spectrum diagram and the standard 3D model information of the permanent magnet synchronous motor wear fault bearing. Quasi-3D model search processing is used to obtain 3D model information of the permanent magnet synchronous motor (PMSM) bearing with wear faults. The PMSM bearing vibration spectrum simulation unit, based on the PMSM 3D model information and the PMSM bearing with wear faults, and combined with 3D design software and mechanical vibration simulation software, performs vibration spectrum information simulation processing to obtain a simulated vibration spectrum diagram of the PMSM bearing with wear faults. The PMSM bearing wear fault verification unit performs wear fault verification processing based on the PMSM bearing vibration spectrum diagram and the simulated vibration spectrum diagram of the PMSM bearing with wear faults, obtaining wear fault verification information of the PMSM bearing.

[0050] The permanent magnet synchronous motor fault handling module includes a permanent magnet synchronous motor fault diagnosis result acquisition unit and a permanent magnet synchronous motor fault early warning unit.

[0051] The permanent magnet synchronous motor fault diagnosis result acquisition unit constructs permanent magnet synchronous motor fault diagnosis result information based on the permanent magnet synchronous motor bearing wear fault analysis information and combined with data analysis; the permanent magnet synchronous motor fault early warning unit performs permanent magnet synchronous motor fault early warning operation based on the permanent magnet synchronous motor fault diagnosis result information and combined with the equipment monitoring cloud platform.

[0052] (III) Beneficial Effects

[0053] This invention provides a system and method for monitoring the safe operation of a permanent magnet synchronous drive. It offers the following advantages:

[0054] I. By using an equipment monitoring cloud platform in conjunction with vibration sensors and a vibration analyzer, real-time and efficient acquisition of permanent magnet synchronous motor (PMSM) object characteristic information and PMSM bearing vibration spectrum diagrams is achieved, providing real data support for accurate analysis of PMSM bearing wear faults. Based on the PMSM bearing vibration spectrum diagram, combined with intelligent search algorithms and scientifically stored standard vibration spectrum diagrams of PMSM bearing wear faults, dynamic and accurate analysis of PMSM bearing wear fault types is performed, enabling precise identification of PMSM bearing wear fault types based on vibration frequency characteristics, thereby improving the overall reliability of the PMSM drive.

[0055] Second, by combining the characteristic information of the permanent magnet synchronous motor (PMSM) with intelligent recognition algorithms and standard 3D model information of the PMSM based on big data storage, the system accurately searches for the standard 3D model of the target PMSM, achieving precise 3D modeling of the PMSM. Based on the vibration spectrum diagram of the PMSM bearing, the system intelligently matches the standard 3D model of the wear-faulted bearing of the target PMSM with intelligent recognition algorithms and standard 3D model information of the wear-faulted bearing of the PMSM based on big data storage, achieving intelligent construction of the 3D model of the wear-faulted bearing of the PMSM based on vibration frequency characteristics. Based on the 3D models of the PMSM and the wear-faulted bearing, and combined with 3D design software and mechanical vibration simulation software, the system digitally simulates the vibration spectrum information of the wear-faulted bearing of the PMSM. Simultaneously, the system interactively verifies the wear fault of the PMSM bearing by combining the vibration spectrum diagram of the PMSM bearing with the simulated vibration spectrum diagram of the wear-faulted bearing, achieving digital simulation of the vibration spectrum diagram of the wear-faulted bearing based on the actual operating conditions of the PMSM. This enables scientific monitoring of the wear fault of the PMSM bearing through interaction between the vibration spectrum collected from the wear-faulted bearing and the numerical simulation spectrum, improving the accuracy of safety supervision of the PMSM drive operation.

[0056] Third, by combining the analysis information of permanent magnet synchronous motor bearing wear faults with data analysis, timely and efficient fault diagnosis results of permanent magnet synchronous motors can be constructed. At the same time, based on the fault diagnosis results of permanent magnet synchronous motors and combined with the equipment monitoring cloud platform, the fault early warning operation of permanent magnet synchronous motors can be executed safely and reliably. This enables efficient and visual acquisition of permanent magnet synchronous motor bearing wear fault monitoring information, improves the response efficiency of permanent magnet synchronous drive operation safety supervision, and improves the quality of permanent magnet synchronous drive operation and maintenance. Attached Figure Description

[0057] Figure 1 A schematic diagram of a module for monitoring the operation safety of a permanent magnet synchronous drive provided by the present invention;

[0058] Figure 2 A flowchart of a method for monitoring the operational safety of a permanent magnet synchronous drive provided by the present invention. Detailed Implementation

[0059] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0060] An embodiment of the operational safety monitoring system and method for a permanent magnet synchronous drive is as follows:

[0061] Example 1:

[0062] Please see Figures 1-2 A method for monitoring the operational safety of a permanent magnet synchronous drive, comprising the following steps:

[0063] S1. Collect characteristic information of the permanent magnet synchronous motor and vibration spectrum of the permanent magnet synchronous motor bearing respectively; analyze and process the wear fault of the permanent magnet synchronous motor bearing to obtain wear fault analysis information of the permanent magnet synchronous motor bearing; repeat S1 if there is no wear fault.

[0064] S2. When wear faults exist, the three-dimensional model information of the permanent magnet synchronous motor is searched based on the object information of the permanent magnet synchronous motor; the three-dimensional model information of the bearing with wear fault of the permanent magnet synchronous motor is matched according to the vibration spectrum information of the bearing of the permanent magnet synchronous motor.

[0065] S3. Based on the three-dimensional model information of the permanent magnet synchronous motor and the worn bearing, simulate the vibration spectrum information of the worn bearing of the permanent magnet synchronous motor to obtain the simulated vibration spectrum diagram of the worn bearing of the permanent magnet synchronous motor; verify the wear fault of the permanent magnet synchronous motor bearing to obtain the wear fault verification information of the permanent magnet synchronous motor bearing; if the verification fails, repeat S2 and S3.

[0066] S4. When the verification is successful, obtain the fault diagnosis result information of the permanent magnet synchronous motor and execute the fault early warning operation of the permanent magnet synchronous motor.

[0067] For further details, please refer to Figures 1-2 The characteristic information of the permanent magnet synchronous motor and the vibration spectrum of the permanent magnet synchronous motor bearing are collected respectively; the wear fault of the permanent magnet synchronous motor bearing is analyzed and processed to obtain the wear fault analysis information of the permanent magnet synchronous motor bearing; when there is no wear fault, the operation steps of S1 are repeated as follows:

[0068] S11. Obtain the target permanent magnet synchronous motor object's number, model, and name text information online through the equipment monitoring cloud platform, and generate permanent magnet synchronous motor characteristic information. The equipment monitoring cloud platform includes either the Jiandao Cloud Equipment Management System or the Yidian Yidong Equipment Management System.

[0069] By using a vibration sensor and a vibration analyzer, the vibration frequency spectral density image of the internal bearing of the target permanent magnet synchronous motor under normal operating conditions is obtained online, and a vibration spectrum diagram of the permanent magnet synchronous motor bearing is generated.

[0070] S12. Based on the vibration spectrum diagram of the permanent magnet synchronous motor bearing and the standard vibration spectrum diagram set of permanent magnet synchronous motor bearing wear faults, perform wear fault analysis and processing of the permanent magnet synchronous motor bearing to obtain wear fault analysis information of the permanent magnet synchronous motor bearing; when there is no wear fault, repeat S1.

[0071] Based on the vibration spectrum diagram of the permanent magnet synchronous motor bearing and the standard vibration spectrum diagram set for wear faults of the permanent magnet synchronous motor bearing, wear fault analysis and processing of the permanent magnet synchronous motor bearing are performed to obtain wear fault analysis information of the permanent magnet synchronous motor bearing; when there is no wear fault, the operation steps of S1 are repeated as follows:

[0072] S121. Establish a standard vibration spectrum atlas for bearing wear faults in permanent magnet synchronous motors. ,in Indicates the first Standard vibration spectrum diagrams of bearing wear failures in permanent magnet synchronous motors corresponding to different bearing wear failure types; bearing wear failure types include bearing inner ring wear failure type, bearing outer ring wear failure type, bearing rolling element wear failure type, and bearing cage wear failure type; the standard vibration spectrum diagrams of bearing wear failures in permanent magnet synchronous motors represent image information of standard bearing vibration frequency spectral density collected based on the bearing wear failure types of the bearings inside the target permanent magnet synchronous motor.

[0073] S122. The ORB image matching algorithm is used to match the vibration spectrum diagram of the permanent magnet synchronous motor bearing with the standard vibration spectrum diagram of permanent magnet synchronous motor bearing wear fault. Standard vibration spectrum diagram of bearing wear failure in permanent magnet synchronous motor Vibration spectrum image feature matching is performed, and permanent magnet synchronous motor bearing wear fault analysis information is generated based on the vibration spectrum image feature matching results.

[0074] When the vibration spectrum diagram of the permanent magnet synchronous motor bearing is Successful vibration spectrum image feature matching indicates that the internal bearing of the target permanent magnet synchronous motor has a first... If the bearing wear fault is of type 1, the output of the permanent magnet synchronous motor bearing wear fault analysis information will be "wear fault exists". In this case, the output will be the first type of bearing wear fault. Text information on different types of bearing wear failures;

[0075] When the vibration spectrum diagram of the permanent magnet synchronous motor bearing is If no matching of vibration spectrum image features is found, it indicates that there is no wear fault in the bearing inside the target permanent magnet synchronous motor. Therefore, the output permanent magnet synchronous motor bearing wear fault analysis information is "no wear fault". At this time, step S1 is repeated until the permanent magnet synchronous motor bearing wear fault analysis information is "wear fault exists".

[0076] By employing a combination of a permanent magnet synchronous motor (PMSM) characteristic information acquisition unit and a PMSM bearing vibration spectrum acquisition unit, and utilizing an equipment monitoring cloud platform in conjunction with vibration sensors and a vibration analyzer, real-time and efficient acquisition of PMSM object characteristic information and PMSM bearing vibration spectrum diagrams is achieved. This provides real data support for accurate analysis of PMSM bearing wear faults. Furthermore, by employing a combination of a PMSM bearing wear fault standard vibration spectrum diagram storage unit and a PMSM bearing wear fault analysis unit, dynamic and accurate analysis of PMSM bearing wear fault types is performed based on the PMSM bearing vibration spectrum diagram, combined with an intelligent search algorithm and scientifically stored standard vibration spectrum diagrams. This enables precise identification of PMSM bearing wear fault types based on vibration frequency characteristics, improving the overall reliability of the permanent magnet synchronous drive.

[0077] For further details, please refer to Figures 1-2 When wear faults exist, the following steps are taken to search for the 3D model information of the permanent magnet synchronous motor based on the object information of the permanent magnet synchronous motor; and to match the 3D model information of the bearing with wear faults in the permanent magnet synchronous motor based on the vibration spectrum information of the bearing:

[0078] S21. When the bearing wear fault analysis information of the permanent magnet synchronous motor indicates the presence of wear fault, establish a standard three-dimensional model information set for the permanent magnet synchronous motor. ,in Indicates the first The standard 3D model information of a permanent magnet synchronous motor corresponding to a permanent magnet synchronous motor object; the standard 3D model information of a permanent magnet synchronous motor represents the whole machine 3D solid model information of the permanent magnet synchronous motor under the theoretical design state set for different permanent magnet synchronous motor objects;

[0079] S22. A breadth-first search algorithm is used to combine the feature information of the permanent magnet synchronous motor with the information set of the standard three-dimensional model of the permanent magnet synchronous motor. Standard 3D model information of permanent magnet synchronous motor Perform textual matching of permanent magnet synchronous motor (PMSM) object features to retrieve standard 3D model information of PMSMs corresponding to the feature information. The data is then used to generate a three-dimensional model of the permanent magnet synchronous motor. This three-dimensional model represents the three-dimensional solid model of the target permanent magnet synchronous motor under the theoretical design conditions.

[0080] S23. Based on the vibration spectrum diagram of the permanent magnet synchronous motor bearing and the standard three-dimensional model information set of the permanent magnet synchronous motor wear fault bearing, perform standard three-dimensional model search processing of the internal wear fault bearing of the target permanent magnet synchronous motor to obtain the three-dimensional model information of the permanent magnet synchronous motor wear fault bearing.

[0081] The steps for searching and processing the standard 3D model of the wear-faulted bearing inside the target permanent magnet synchronous motor based on the vibration spectrum diagram of the permanent magnet synchronous motor bearing and the standard 3D model information set of the permanent magnet synchronous motor wear-faulted bearing are as follows:

[0082] S231. Establish a standard three-dimensional model information set for bearing wear faults in permanent magnet synchronous motors. ,in Indicates the first The standard three-dimensional model information of bearings with wear failure in permanent magnet synchronous motors corresponding to different bearing wear failure types; the standard three-dimensional model information of bearings with wear failure in permanent magnet synchronous motors represents the three-dimensional solid model information of bearings with wear failure under the theoretical design state based on the vibration spectrum diagram of different bearing wear failure types in the internal bearings of the target permanent magnet synchronous motor.

[0083] S232, Combine the vibration spectrum diagram of the permanent magnet synchronous motor bearing with the information set of the standard three-dimensional model of the wear fault bearing of the permanent magnet synchronous motor. Standard 3D model information of bearing wear fault in permanent magnet synchronous motor By performing feature matching on the bearing vibration spectrum image, the standard three-dimensional model information of the permanent magnet synchronous motor bearing wear fault corresponding to the bearing vibration spectrum image of the permanent magnet synchronous motor was retrieved. The data is then used to generate a 3D model of the bearing with wear and failure in a permanent magnet synchronous motor. The specific steps for generating this 3D model are as follows:

[0084] S2321. Initialization Phase: Update the maximum number of iterations. Information set of standard three-dimensional model of bearing wear failure in permanent magnet synchronous motor The search space is used to initialize and update the model, selecting the position of the female spider wasp; the formula for initializing and updating the position is... ,in Indicates the first The model selects female spider wasps in a spatial dimension of [missing information]. Information set of standard 3D models of bearing wear faults in permanent magnet synchronous motors The initial position in the search space; Indicates the value random function, and These represent the information set of the standard 3D model of the bearing in the wear fault of a permanent magnet synchronous motor, specifically the female spider wasp selected for model selection. The upper and lower boundaries of the search space;

[0085] S2322, Search Phase: Model Selection: Female spider wasps select the standard 3D model information set of permanent magnet synchronous motor wear fault bearings with constant step size. Randomly search the search space to find standard 3D model information of permanent magnet synchronous motor bearing wear faults that match the vibration spectrum diagram of the permanent magnet synchronous motor bearing. Simultaneously, the model selection of female spider wasps in the standard 3D model information set of bearing wear faults in permanent magnet synchronous motors was updated. The search position is determined within the search space, where the model selects the female spider wasp and updates the position using the following formula during the search phase: ,in and These represent the search phase, number 1 and 2 respectively. After the nth iteration and the th After the nth iteration The model selected is the female spider wasp in the standard three-dimensional model information set of the bearing wear fault of permanent magnet synchronous motor. The location within the search space; and These represent the search phase, number 1 and 2 respectively. After the nth iteration, the first one is randomly selected. The and the first The model selected is the female spider wasp in the standard three-dimensional model information set of the bearing wear fault of permanent magnet synchronous motor. The location within the search space; This indicates that the model selects a constant step size for the female spider wasp. ,in and They represent the values ​​respectively. A random function;

[0086] S2323, Follow and Hunt Phase: The model selects a female spider wasp and uses random step sizes in the standard 3D model information set of the permanent magnet synchronous motor wear fault bearing. Randomly search the search space to find standard 3D model information of permanent magnet synchronous motor bearing wear faults that match the vibration spectrum diagram of the permanent magnet synchronous motor bearing. The prey, model selected is a female spider wasp, which moves towards the standard 3D model information of the permanent magnet synchronous motor bearing wear fault bearing that best matches the vibration spectrum diagram of the permanent magnet synchronous motor bearing. The prey moves in a certain direction and its position is updated; the model selects the female spider wasp and updates its position using the following formula during the follow and hunt phases. ,in This indicates the first stage of the following and hunting phase. After the nth iteration The model selected is the female spider wasp in the standard three-dimensional model information set of the bearing wear fault of permanent magnet synchronous motor. The location within the search space; This indicates the first stage of the following and hunting phase. After the next iteration, the model selected the female spider wasp in the standard 3D model information set of the bearing wear fault of the permanent magnet synchronous motor. Search the search space to find the standard 3D model information of the bearing with wear failure in a permanent magnet synchronous motor that best matches the vibration spectrum diagram of the bearing. The optimal position; This indicates the random step size used by the model to select the female spider wasp. Indicates the value A random function;

[0087] S2324, When the maximum number of iterations is satisfied At that time, the output is the standard three-dimensional model information of the bearing wear fault of the permanent magnet synchronous motor that best matches the vibration spectrum diagram of the permanent magnet synchronous motor bearing. The data is then used to generate a three-dimensional model of the bearing with wear fault in the permanent magnet synchronous motor.

[0088] Based on the 3D model information of the permanent magnet synchronous motor and the worn bearing, the vibration spectrum information of the worn bearing of the permanent magnet synchronous motor is simulated and processed to obtain the simulated vibration spectrum diagram of the worn bearing of the permanent magnet synchronous motor; the wear fault of the permanent magnet synchronous motor bearing is verified to obtain the wear fault verification information of the permanent magnet synchronous motor bearing; when the verification fails, the operation steps S2 and S3 are repeated as follows:

[0089] S31. Based on the three-dimensional model information of the permanent magnet synchronous motor and the three-dimensional model information of the worn bearing of the permanent magnet synchronous motor, the vibration spectrum information of the worn bearing of the permanent magnet synchronous motor is simulated and processed to obtain the simulated vibration spectrum diagram of the worn bearing of the permanent magnet synchronous motor.

[0090] S32. Based on the vibration spectrum diagram of the permanent magnet synchronous motor bearing and the simulated vibration spectrum diagram of the bearing with wear fault in the permanent magnet synchronous motor, perform wear fault verification processing of the permanent magnet synchronous motor bearing to obtain wear fault verification information of the permanent magnet synchronous motor bearing. If the verification fails, repeat S2 and S3.

[0091] The operation steps for simulating the vibration spectrum information of the worn bearing of the permanent magnet synchronous motor based on the three-dimensional model information of the permanent magnet synchronous motor and the three-dimensional model information of the worn bearing of the permanent magnet synchronous motor are as follows:

[0092] S311. Replace the normal bearing 3D model inside the permanent magnet synchronous motor with the 3D model of the worn bearing corresponding to the 3D model information of the permanent magnet synchronous motor using 3D design software, and generate the assembly 3D model information of the permanent magnet synchronous motor and the worn bearing; the 3D design software includes any one of CATIA, UG, and ProE.

[0093] S312. Input the 3D model information of the permanent magnet synchronous motor and the worn-fault bearing assembly into the mechanical vibration simulation software. The mechanical vibration simulation software performs vibration simulation of the worn-fault bearing under normal operation of the permanent magnet synchronous motor based on the 3D model of the permanent magnet synchronous motor corresponding to the 3D model information of the permanent magnet synchronous motor and the worn-fault bearing assembly. At the same time, it collects the spectral image information of the vibration of the worn-fault bearing and obtains the simulated vibration spectrum diagram of the worn-fault bearing of the permanent magnet synchronous motor. The mechanical vibration simulation software includes any one of ANSYS Mechanical, COMSOL Multiphysics, Simulink, and Siemens Simcenter3D.

[0094] Based on the vibration spectrum diagram of the permanent magnet synchronous motor bearing and the simulated vibration spectrum diagram of the bearing with wear fault, the wear fault verification process of the permanent magnet synchronous motor bearing is carried out to obtain the wear fault verification information of the permanent magnet synchronous motor bearing. When the verification fails, the operation steps S2 and S3 are repeated as follows:

[0095] S321. The FLANN image matching algorithm is used to match the vibration spectrum diagram of the permanent magnet synchronous motor bearing with the simulated vibration spectrum diagram of the bearing with wear fault in the permanent magnet synchronous motor. Based on the bearing vibration spectrum image feature matching result, the verification information of the permanent magnet synchronous motor bearing wear fault is generated.

[0096] When the vibration spectrum diagram of the permanent magnet synchronous motor bearing is successfully matched with the simulated vibration spectrum diagram of the bearing with wear fault in the permanent magnet synchronous motor, it indicates that the wear fault type of the bearing inside the target permanent magnet synchronous motor has been accurately verified by numerical simulation. The output of the permanent magnet synchronous motor bearing wear fault verification information is that the verification is successful.

[0097] If the vibration spectrum diagram of the permanent magnet synchronous motor bearing fails to match the vibration spectrum image features of the simulated vibration spectrum diagram of the bearing with wear fault in the permanent magnet synchronous motor, it indicates that the wear fault type of the bearing inside the target permanent magnet synchronous motor has not been accurately verified by numerical simulation. In this case, the output of the permanent magnet synchronous motor bearing wear fault verification information is "verification unsuccessful". At this time, S2 and S3 are repeated until the permanent magnet synchronous motor bearing wear fault verification information is "verification successful".

[0098] By cooperating between a standard 3D model storage unit and a 3D model search unit for permanent magnet synchronous motors (PMSMs), accurate searching of the target PMSM's overall standard 3D model is achieved based on PMSM feature information, combined with intelligent recognition algorithms and PMSM standard 3D model information stored in big data. This enables precise 3D modeling of the PMSM. Similarly, by cooperating between a standard 3D model storage unit and a matching unit for PMSM bearings with wear faults, intelligent matching of the target PMSM bearing's standard 3D model is performed based on the PMSM bearing vibration spectrum diagram, combined with intelligent recognition algorithms and PMSM standard 3D model information stored in big data. This enables intelligent construction of PMSM wear fault bearing standard 3D models based on vibration frequency characteristics. The system employs a 3D model of the worn bearing, a vibration spectrum simulation unit for the worn bearing in a permanent magnet synchronous motor (PMSM), and a wear fault verification unit. These components work together to digitally simulate the vibration spectrum of the worn bearing based on the 3D model of the PMSM and the worn bearing, using 3D design software and mechanical vibration simulation software. Simultaneously, the system uses the vibration spectrum of the PMSM bearing and the simulated vibration spectrum to interactively verify the wear fault of the PMSM bearing. This allows for the digital simulation of the vibration spectrum of the worn bearing under real operating conditions of the PMSM, enabling scientific monitoring of PMSM bearing wear faults through interaction between the collected vibration spectrum and the numerically simulated spectrum. This improves the accuracy of safety monitoring of the PMSM drive.

[0099] For further details, please refer to Figures 1-2 When verification is successful, the operation steps for obtaining the permanent magnet synchronous motor fault diagnosis result information and executing the permanent magnet synchronous motor fault early warning operation are as follows:

[0100] S41. When the verification information of the permanent magnet synchronous motor bearing wear fault is successful, the permanent magnet synchronous motor bearing wear fault analysis information and bearing wear fault type text information are generated into permanent magnet synchronous motor fault diagnosis result information through data identification.

[0101] S42. Transmit the fault diagnosis results of the permanent magnet synchronous motor to the equipment monitoring cloud platform through the Internet of Things communication network to perform the fault early warning operation of the permanent magnet synchronous motor.

[0102] By cooperating with the permanent magnet synchronous motor fault diagnosis result acquisition unit and the permanent magnet synchronous motor fault early warning unit, and combining the analysis information of permanent magnet synchronous motor bearing wear fault with data analysis, the fault diagnosis result information of permanent magnet synchronous motor can be constructed in a timely and efficient manner. At the same time, based on the fault diagnosis result information of permanent magnet synchronous motor and combined with the equipment monitoring cloud platform, the fault early warning operation of permanent magnet synchronous motor is executed safely and reliably. This enables efficient and visual acquisition of permanent magnet synchronous motor bearing wear fault monitoring information, improves the response efficiency of permanent magnet synchronous drive operation safety supervision, and improves the quality of permanent magnet synchronous drive operation and maintenance.

[0103] Example 2:

[0104] Please see Figures 1-2 A safety monitoring system for the operation of a permanent magnet synchronous drive is provided to implement a method for monitoring the safety of the operation of a permanent magnet synchronous drive. The system includes a permanent magnet synchronous motor fault identification module, a permanent magnet synchronous motor fault verification module, and a permanent magnet synchronous motor fault handling module.

[0105] The permanent magnet synchronous motor fault identification module includes a permanent magnet synchronous motor characteristic information acquisition unit, a permanent magnet synchronous motor bearing vibration spectrum acquisition unit, a permanent magnet synchronous motor bearing wear fault standard vibration spectrum storage unit, and a permanent magnet synchronous motor bearing wear fault analysis unit.

[0106] The system includes: a permanent magnet synchronous motor (PMSM) characteristic information acquisition unit, which collects PMSM characteristic information through an equipment monitoring cloud platform; a PMSM bearing vibration spectrum acquisition unit, which collects PMSM bearing vibration spectrum using a vibration sensor and vibration analyzer; a PMSM bearing wear fault standard vibration spectrum storage unit, which stores PMSM bearing wear fault standard vibration spectrum; and a PMSM bearing wear fault analysis unit, which performs wear fault analysis on the PMSM bearing based on the PMSM bearing vibration spectrum and the PMSM bearing wear fault standard vibration spectrum, to obtain PMSM bearing wear fault analysis information.

[0107] The permanent magnet synchronous motor fault verification module includes a standard 3D model storage unit for permanent magnet synchronous motors, a 3D model search unit for permanent magnet synchronous motors, a standard 3D model storage unit for bearing wear faults in permanent magnet synchronous motors, a 3D model matching unit for bearing wear faults in permanent magnet synchronous motors, a vibration spectrum simulation unit for bearing wear faults in permanent magnet synchronous motors, and a bearing wear fault verification unit for permanent magnet synchronous motors.

[0108] The system includes: a standard 3D model storage unit for permanent magnet synchronous motors (PMSMs); a 3D model search unit for PMSMs that performs a standard 3D model search based on PMSM feature information and the standard 3D model information to obtain the overall 3D model information of the target PMSM; a standard 3D model storage unit for PMSM wear-fault bearings that stores the standard 3D model information of PMSM wear-fault bearings; and a 3D model matching unit for PMSM wear-fault bearings that matches the vibration spectrum diagram of the PMSM bearings with the standard 3D model information. Quasi-3D model search processing yields 3D model information of the bearing with wear fault in the permanent magnet synchronous motor (PMSM). A vibration spectrum simulation unit for the bearing with wear fault in the PMSM simulates the vibration spectrum information of the bearing with wear fault based on the 3D model information of the PMSM and the bearing with wear fault, combined with 3D design software and mechanical vibration simulation software, to obtain a simulated vibration spectrum diagram of the bearing with wear fault. A wear fault verification unit for the PMSM verifies the wear fault of the bearing based on the vibration spectrum diagram and the simulated vibration spectrum diagram, to obtain wear fault verification information of the bearing with wear fault.

[0109] The permanent magnet synchronous motor fault handling module includes a permanent magnet synchronous motor fault diagnosis result acquisition unit and a permanent magnet synchronous motor fault early warning unit.

[0110] The permanent magnet synchronous motor fault diagnosis result acquisition unit constructs permanent magnet synchronous motor fault diagnosis result information based on the bearing wear fault analysis information of the permanent magnet synchronous motor and combined with data analysis; the permanent magnet synchronous motor fault early warning unit performs permanent magnet synchronous motor fault early warning operation based on the permanent magnet synchronous motor fault diagnosis result information and combined with the equipment monitoring cloud platform.

[0111] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for monitoring the operational safety of a permanent magnet synchronous drive, characterized in that, The method includes the following steps: S1. Collect characteristic information of the permanent magnet synchronous motor and vibration spectrum of the permanent magnet synchronous motor bearing respectively; analyze and process the wear fault of the permanent magnet synchronous motor bearing to obtain wear fault analysis information of the permanent magnet synchronous motor bearing; repeat S1 if there is no wear fault. S2. When wear faults exist, the three-dimensional model information of the permanent magnet synchronous motor is searched based on the object information of the permanent magnet synchronous motor; the three-dimensional model information of the bearing with wear fault of the permanent magnet synchronous motor is matched according to the vibration spectrum information of the bearing of the permanent magnet synchronous motor. The operation steps of S2 are as follows: S21. When the bearing wear fault analysis information of the permanent magnet synchronous motor indicates the presence of wear fault, establish a standard three-dimensional model information set for the permanent magnet synchronous motor. The include ;in Indicates the first The standard 3D model information of a permanent magnet synchronous motor corresponding to a permanent magnet synchronous motor object; S22. Using a breadth-first search algorithm, the feature information of the permanent magnet synchronous motor is compared with that of... The above Perform textual matching of permanent magnet synchronous motor object features to search for the permanent magnet synchronous motor feature information corresponding to the textual information. And through data identification, a three-dimensional model information of the permanent magnet synchronous motor is generated; S23. Based on the vibration spectrum diagram of the permanent magnet synchronous motor bearing and the standard three-dimensional model information set of the permanent magnet synchronous motor wear fault bearing, perform standard three-dimensional model search processing of the internal wear fault bearing of the target permanent magnet synchronous motor to obtain the three-dimensional model information of the wear fault bearing of the permanent magnet synchronous motor. S3. Based on the three-dimensional model information of the permanent magnet synchronous motor and the worn bearing, simulate the vibration spectrum information of the worn bearing of the permanent magnet synchronous motor to obtain the simulated vibration spectrum diagram of the worn bearing of the permanent magnet synchronous motor; verify the wear fault of the permanent magnet synchronous motor bearing to obtain the wear fault verification information of the permanent magnet synchronous motor bearing; if the verification fails, repeat S2 and S3. The operation steps of S3 are as follows: S31. Based on the three-dimensional model information of the permanent magnet synchronous motor and the three-dimensional model information of the worn and faulty bearing of the permanent magnet synchronous motor, the vibration spectrum information of the worn and faulty bearing of the permanent magnet synchronous motor is simulated and processed to obtain the simulated vibration spectrum diagram of the worn and faulty bearing of the permanent magnet synchronous motor. The operation steps of S31 are as follows: S311. Replace the normal bearing 3D model inside the permanent magnet synchronous motor with the wear fault bearing 3D model corresponding to the wear fault bearing 3D model information of the permanent magnet synchronous motor using 3D design software, and generate the assembly 3D model information of the permanent magnet synchronous motor and the wear fault bearing. S312. Input the three-dimensional model information of the permanent magnet synchronous motor and the worn fault bearing assembly into the mechanical vibration simulation software. The mechanical vibration simulation software performs vibration simulation of the worn fault bearing under normal operation of the permanent magnet synchronous motor based on the three-dimensional model of the permanent magnet synchronous motor corresponding to the three-dimensional model information of the permanent magnet synchronous motor and the worn fault bearing assembly. Simultaneously, it collects the spectral image information of the vibration of the worn fault bearing and obtains the simulated vibration spectrum diagram of the worn fault bearing of the permanent magnet synchronous motor. S32. Based on the vibration spectrum diagram of the permanent magnet synchronous motor bearing and the simulated vibration spectrum diagram of the permanent magnet synchronous motor bearing with wear fault, perform wear fault verification processing of the permanent magnet synchronous motor bearing to obtain wear fault verification information of the permanent magnet synchronous motor bearing. If the verification fails, repeat S2 and S3. S4. When the verification is successful, obtain the fault diagnosis result information of the permanent magnet synchronous motor and execute the fault early warning operation of the permanent magnet synchronous motor.

2. The method for monitoring the operational safety of a permanent magnet synchronous drive according to claim 1, characterized in that: The operation steps of S1 are as follows: S11. Obtain the target permanent magnet synchronous motor object's serial number, model, and name text information online through the equipment monitoring cloud platform, and generate permanent magnet synchronous motor characteristic information; By using a vibration sensor and a vibration analyzer, the vibration frequency spectral density image of the internal bearing of the target permanent magnet synchronous motor under normal operating conditions is obtained online, and a vibration spectrum diagram of the permanent magnet synchronous motor bearing is generated. S12. Based on the vibration spectrum diagram of the permanent magnet synchronous motor bearing and the standard vibration spectrum diagram set of permanent magnet synchronous motor bearing wear faults, perform wear fault analysis and processing of the permanent magnet synchronous motor bearing to obtain wear fault analysis information of the permanent magnet synchronous motor bearing; when there is no wear fault, repeat S1.

3. The method for monitoring the operational safety of a permanent magnet synchronous drive according to claim 2, characterized in that: The operation steps of S12 are as follows: S121. Establish a standard vibration spectrum atlas for bearing wear faults in permanent magnet synchronous motors. The include ;in Indicates the first Standard vibration spectrum diagram of bearing wear failure in permanent magnet synchronous motors corresponding to different bearing wear failure types. S122. The ORB image matching algorithm is used to match the vibration spectrum diagram of the permanent magnet synchronous motor bearing with the... The above Vibration spectrum image feature matching is performed, and permanent magnet synchronous motor bearing wear fault analysis information is generated based on the vibration spectrum image feature matching results. When the vibration spectrum diagram of the permanent magnet synchronous motor bearing is If vibration spectrum image feature matching is successful, the output of the permanent magnet synchronous motor bearing wear fault analysis information is that a wear fault exists. At this time, the output of the first... Text information on different types of bearing wear failures; When the vibration spectrum diagram of the permanent magnet synchronous motor bearing is If no matching of vibration spectrum image features is found, step S1 is repeated until the wear fault analysis information of the permanent magnet synchronous motor bearing indicates the presence of a wear fault.

4. The method for monitoring the operational safety of a permanent magnet synchronous drive according to claim 1, characterized in that: The operation steps of S23 are as follows: S231. Establish a standard three-dimensional model information set for bearing wear faults in permanent magnet synchronous motors. The include ;in Indicates the first Standard 3D model information of bearings with wear faults in permanent magnet synchronous motors corresponding to various bearing wear fault types; S232, Compare the vibration spectrum diagram of the permanent magnet synchronous motor bearing with the... The above Perform bearing vibration spectrum image feature matching to search for the bearing vibration spectrum image corresponding to the permanent magnet synchronous motor. The data is then used to generate a three-dimensional model of the worn bearing fault in the permanent magnet synchronous motor. The specific steps for generating the three-dimensional model of the worn bearing fault in the permanent magnet synchronous motor are as follows: S2321. Initialization Phase: Update the maximum number of iterations. In the The search space is used to initialize and update the model, selecting the location of the female spider wasp; S2322, Search Phase: The model selects a female spider wasp at a constant step size in the... Randomly search the search space to find the bearing vibration spectrum of the permanent magnet synchronous motor that matches the vibration spectrum of the bearing. At the same time, the model was updated to select the female spider wasp in the above. The search location within the search space; S2323, Follow and Hunt Phase: The model selects the female spider wasp and proceeds at random steps in the... Randomly search the search space to find the bearing vibration spectrum of the permanent magnet synchronous motor that matches the vibration spectrum of the bearing. The model selects the female spider wasp to move towards the one whose vibration spectrum best matches that of the permanent magnet synchronous motor bearing. The prey moves in a direction and its position is updated; S2324, When the maximum number of iterations is satisfied At that time, the output is the one that best matches the vibration spectrum of the permanent magnet synchronous motor bearing. The data is then used to generate a three-dimensional model of the bearing with wear fault in the permanent magnet synchronous motor.

5. The method for monitoring the operational safety of a permanent magnet synchronous drive according to claim 1, characterized in that: The operation steps of S32 are as follows: S321. The FLANN image matching algorithm is used to perform bearing vibration spectrum image feature matching between the vibration spectrum diagram of the permanent magnet synchronous motor bearing and the simulated vibration spectrum diagram of the bearing with wear fault in the permanent magnet synchronous motor. Based on the bearing vibration spectrum image feature matching result, the wear fault verification information of the permanent magnet synchronous motor bearing is generated. When the vibration spectrum diagram of the permanent magnet synchronous motor bearing is successfully matched with the simulated vibration spectrum diagram of the permanent magnet synchronous motor bearing with wear fault, the verification information of the permanent magnet synchronous motor bearing wear fault is output as successful. If the vibration spectrum diagram of the permanent magnet synchronous motor bearing fails to match the simulated vibration spectrum diagram of the bearing with wear fault in the permanent magnet synchronous motor, the verification information of the permanent magnet synchronous motor bearing wear fault is output as unverified. At this time, S2 and S3 are repeated until the verification information of the permanent magnet synchronous motor bearing wear fault is verified successfully.

6. The method for monitoring the operational safety of a permanent magnet synchronous drive according to claim 5, characterized in that: The operation steps of S4 are as follows: S41. When the verification information of the permanent magnet synchronous motor bearing wear fault is successful, the permanent magnet synchronous motor bearing wear fault analysis information and bearing wear fault type text information are generated into permanent magnet synchronous motor fault diagnosis result information through data identification. S42. The fault diagnosis result information of the permanent magnet synchronous motor is transmitted to the equipment monitoring cloud platform through the Internet of Things communication network to perform the permanent magnet synchronous motor fault early warning operation.

7. A safety monitoring system for the operation of a permanent magnet synchronous drive, used to implement the safety monitoring method for the operation of a permanent magnet synchronous drive as described in any one of claims 1-6, characterized in that: The system includes a permanent magnet synchronous motor fault identification module, a permanent magnet synchronous motor fault verification module, and a permanent magnet synchronous motor fault handling module.

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