CN-121784542-B - Operation safety supervision system and method for permanent magnet synchronous driver

CN121784542BCN 121784542 BCN121784542 BCN 121784542BCN-121784542-B

Abstract

The invention relates to the technical field of intelligent control of motor operation, and discloses an operation safety supervision system and method of a permanent magnet synchronous driver; the method is characterized in that the method comprises the steps of carrying out digital scientific simulation on vibration frequency spectrum information of the permanent magnet synchronous motor wear fault bearing based on a three-dimensional model of the permanent magnet synchronous motor and the wear fault bearing and combining three-dimensional design software and mechanical vibration simulation software, simultaneously carrying out interactive verification on the wear fault of the permanent magnet synchronous motor bearing by combining a vibration frequency spectrum diagram of the permanent magnet synchronous motor bearing and a simulated vibration frequency spectrum diagram of the permanent magnet synchronous motor wear fault bearing, realizing digital simulated wear fault bearing vibration frequency spectrum diagram based on real operation conditions of the permanent magnet synchronous motor, realizing interactive scientific monitoring on the wear fault of the permanent magnet synchronous motor bearing based on the collected vibration frequency spectrum of the wear fault bearing and the numerical simulated frequency spectrum, and improving the accuracy of operation safety supervision of a permanent magnet synchronous driver.

Inventors

ZHANG QINGPING

Assignees

山东奥卓电气科技发展有限公司

Dates

Publication Date: 20260508
Application Date: 20260306

Claims (7)

1. A method for operational safety supervision of a permanent magnet synchronous drive, the method comprising the steps of: S1, respectively acquiring characteristic information of a permanent magnet synchronous motor and a vibration spectrum diagram of the permanent magnet synchronous motor bearing, analyzing and processing wear faults of the permanent magnet synchronous motor bearing to obtain wear fault analysis information of the permanent magnet synchronous motor bearing, and repeatedly executing S1 when the wear faults do not exist; S2, when abrasion faults exist, three-dimensional model information of the permanent magnet synchronous motor is searched based on object information of the permanent magnet synchronous motor; the operation steps of the S2 are as follows: s21, when the analysis information of the wear fault of the permanent magnet synchronous motor bearing is that the wear fault exists, establishing a standard three-dimensional model information set of the permanent magnet synchronous motor The said Comprising Wherein Represent the first Permanent magnet synchronous motor standard three-dimensional model information corresponding to the permanent magnet synchronous motor objects; s22, adopting a width-first search algorithm to combine the characteristic information of the permanent magnet synchronous motor with the characteristic information of the permanent magnet synchronous motor The said in Performing permanent magnet synchronous motor object feature text information matching, and searching out the permanent magnet synchronous motor feature information corresponding to the permanent magnet synchronous motor object feature text information Generating three-dimensional model information of the permanent magnet synchronous motor through data identification; S23, carrying out standard three-dimensional model search processing on the internal wear fault bearing of the target permanent magnet synchronous motor according to the vibration spectrogram of the permanent magnet synchronous motor bearing and the standard three-dimensional model information set of the wear fault bearing of the permanent magnet synchronous motor to obtain three-dimensional model information of the wear fault bearing of the permanent magnet synchronous motor; S3, performing vibration spectrum information simulation processing on the wear fault bearing of the permanent magnet synchronous motor according to the three-dimensional model information of the permanent magnet synchronous motor and the wear fault bearing to obtain a simulated vibration spectrum diagram of the wear fault bearing of the permanent magnet synchronous motor; The operation steps of the S3 are as follows: S31, performing vibration spectrum information simulation processing on the permanent magnet synchronous motor wear fault bearing based on the permanent magnet synchronous motor three-dimensional model information and the permanent magnet synchronous motor wear fault bearing three-dimensional model information to obtain a permanent magnet synchronous motor wear fault bearing simulation vibration spectrum diagram; the operation steps of S31 are as follows: S311, replacing a normal bearing three-dimensional model in the permanent magnet synchronous motor corresponding to the permanent magnet synchronous motor three-dimensional model information with a wear fault bearing three-dimensional model corresponding to the permanent magnet synchronous motor wear fault bearing three-dimensional model information through three-dimensional design software, and generating permanent magnet synchronous motor and wear fault bearing assembly three-dimensional model information; S312, inputting the information of the permanent magnet synchronous motor and the wear fault bearing assembly three-dimensional model into mechanical vibration simulation software, wherein the mechanical vibration simulation software performs the wear fault bearing vibration simulation operation under the normal running state of the permanent magnet synchronous motor based on the permanent magnet synchronous motor three-dimensional model corresponding to the information of the permanent magnet synchronous motor and the wear fault bearing assembly three-dimensional model, synchronously acquires the frequency spectrum image information of the wear fault bearing vibration, and obtains a wear fault bearing simulation vibration spectrogram of the permanent magnet synchronous motor; S32, carrying out wear failure verification processing on the permanent magnet synchronous motor bearing according to the vibration spectrogram of the permanent magnet synchronous motor bearing and the simulated vibration spectrogram of the permanent magnet synchronous motor wear failure bearing to obtain wear failure verification information of the permanent magnet synchronous motor bearing, and repeatedly executing S2 and S3 when the verification is unsuccessful; And S4, when the verification is successful, obtaining fault diagnosis result information of the permanent magnet synchronous motor and executing fault early warning operation of the permanent magnet synchronous motor.
2. The method for operating safety supervision of a permanent magnet synchronous drive according to claim 1, wherein the step of S1 is as follows: s11, acquiring serial number, model and name text information of a target permanent magnet synchronous motor object on line through an equipment supervision cloud platform, and generating permanent magnet synchronous motor characteristic information; acquiring image information of vibration frequency spectrum density of an internal bearing of a target permanent magnet synchronous motor in a normal running state on line by using a vibration sensor in combination with a vibration analyzer, and generating a vibration spectrum diagram of the permanent magnet synchronous motor bearing; S12, carrying out wear fault analysis processing on the permanent magnet synchronous motor bearing according to the vibration spectrum diagram of the permanent magnet synchronous motor bearing and the standard vibration spectrum diagram set of the wear fault of the permanent magnet synchronous motor bearing to obtain wear fault analysis information of the permanent magnet synchronous motor bearing, and repeatedly executing S1 when no wear fault exists.
3. The method for operational safety supervision of a permanent magnet synchronous drive according to claim 2, wherein the step of S12 comprises the steps of: s121, establishing a standard vibration spectrum chart set of bearing wear failure of the permanent magnet synchronous motor The said Comprising Wherein Represent the first A standard vibration spectrum diagram of the bearing wear fault of the permanent magnet synchronous motor corresponding to the bearing wear fault type; S122, adopting ‌ ORB image matching algorithm to match the vibration spectrogram of the permanent magnet synchronous motor bearing with the vibration spectrogram of the permanent magnet synchronous motor bearing The said in Performing vibration spectrum image feature matching, and generating permanent magnet synchronous motor bearing wear fault analysis information according to the vibration spectrum image feature matching result; When the vibration spectrogram of the permanent magnet synchronous motor bearing If the vibration spectrum image feature matching is successful, outputting the analysis information of the wear fault of the permanent magnet synchronous motor bearing as that the wear fault exists, and outputting the first time Text information of the type of bearing wear failure; When the vibration spectrogram of the permanent magnet synchronous motor bearing And (3) carrying out that the vibration spectrum image characteristics are not successfully matched, and repeatedly executing the step S1 until the analysis information of the wear failure of the permanent magnet synchronous motor bearing is that the wear failure exists.
4. The method for operational safety supervision of a permanent magnet synchronous drive according to claim 1, wherein the step of S23 comprises the steps of: S231, establishing a standard three-dimensional model information set of the wear fault bearing of the permanent magnet synchronous motor The said Comprising Wherein Represent the first The standard three-dimensional model information of the permanent magnet synchronous motor wear fault bearing corresponding to the bearing wear fault type is obtained; s232, mixing the vibration spectrogram of the permanent magnet synchronous motor bearing with the vibration spectrogram of the permanent magnet synchronous motor bearing The said in Performing bearing vibration spectrum image feature matching, and searching out the corresponding vibration spectrum diagram of the permanent magnet synchronous motor bearing Generating three-dimensional model information of the wear fault bearing of the permanent magnet synchronous motor through data identification; the specific operation steps of executing and generating the three-dimensional model information of the wear fault bearing of the permanent magnet synchronous motor are as follows: s2321, initializing stage, updating maximum iteration times At the said Initializing an update model in a search space of (a) to select the position of the female spider bees; S2322, searching, namely selecting female spider bees to be in the model at a constant step length Randomly searching the search space of the permanent magnet synchronous motor bearing vibration spectrum map matched with the permanent magnet synchronous motor bearing vibration spectrum map Simultaneously updating the model to select female spider bees to be positioned in the model Searching for a location in a search space of (a); s2323, following and hunting stage, wherein the model selects female spider bees to randomly step at the step length Randomly searching the search space of the permanent magnet synchronous motor bearing vibration spectrum map matched with the permanent magnet synchronous motor bearing vibration spectrum map A hunting object, wherein the model selects female spider bees to be most matched with the vibration spectrogram of the permanent magnet synchronous motor bearing Moving the hunting direction and updating the position; s2324, when the maximum iteration number is satisfied Outputting the vibration spectrum diagram most matched with the permanent magnet synchronous motor bearing And generating three-dimensional model information of the wear fault bearing of the permanent magnet synchronous motor through data identification.
5. The method for operational safety supervision of a permanent magnet synchronous drive according to claim 1, wherein the step of S32 comprises the steps of: S321, carrying out bearing vibration spectrum image characteristic matching on the permanent magnet synchronous motor bearing vibration spectrogram and the permanent magnet synchronous motor wear fault bearing simulation vibration spectrogram by adopting ‌ FLANN image matching algorithm, and generating permanent magnet synchronous motor bearing wear fault verification information according to a bearing vibration spectrum image characteristic matching result; when the feature matching of the bearing vibration spectrum diagram of the permanent magnet synchronous motor and the simulated vibration spectrum diagram of the wear fault bearing of the permanent magnet synchronous motor is successful, outputting the wear fault verification information of the permanent magnet synchronous motor as verification success; And when the bearing vibration spectrogram of the permanent magnet synchronous motor and the simulated vibration spectrogram of the wear fault bearing of the permanent magnet synchronous motor are successfully matched, outputting the wear fault verification information of the bearing of the permanent magnet synchronous motor to be successfully verified, and repeatedly executing S2 and S3 until the wear fault verification information of the bearing of the permanent magnet synchronous motor is successfully verified.
6. The method for operational safety supervision of a permanent magnet synchronous drive according to claim 5, wherein the step of S4 comprises the steps of: s41, when the permanent magnet synchronous motor bearing wear fault verification information is successful in verification, generating permanent magnet synchronous motor fault diagnosis result information through data identification by the permanent magnet synchronous motor bearing wear fault analysis information and bearing wear fault type text information; s42, transmitting the permanent magnet synchronous motor fault diagnosis result information to an equipment supervision cloud platform through an Internet of things communication network to execute permanent magnet synchronous motor fault early warning operation.
7. An operation safety supervision system of a permanent magnet synchronous driver is used for realizing the operation safety supervision method of the permanent magnet synchronous driver according to any one of claims 1-6, and is characterized in that the system comprises a permanent magnet synchronous motor fault identification module, a permanent magnet synchronous motor fault verification module and a permanent magnet synchronous motor fault processing module.

Description

Operation safety supervision system and method for permanent magnet synchronous driver Technical Field The invention relates to the technical field of intelligent control of motor operation, in particular to an operation safety supervision system and method of a permanent magnet synchronous driver. Background The permanent magnet synchronous driver is a high-efficiency motor driving system, and is based on a Permanent Magnet Synchronous Motor (PMSM) technology, and the permanent magnet synchronous driver utilizes a rare earth permanent magnet on a rotor to generate a constant magnetic field, and is synchronous with a rotating electromagnetic field generated by a stator winding, so that accurate energy conversion is realized, and rotor loss is avoided. The core components include a permanent magnet synchronous motor body (of a separate surface-mounted or built-in design), a drive controller (including an IGBT inverter converting direct current into adjustable alternating current, and a DSP or MCU control unit executing a vector control algorithm), sensors (such as encoders or rotary transformers providing real-time position and speed feedback), and a power supply system (battery or AC grid power). The working principle relies on magnetic field directional control (FOC) or Direct Torque Control (DTC), and high-precision speed and torque adjustment are ensured by adjusting current phase and amplitude through a closed loop. The method has the outstanding advantages of high efficiency (higher than induction motor) up to 95%, high power density, fast dynamic response, low running noise, energy conservation, environmental protection and the like. The application is wide, and the system is applicable to electric automobiles (such as driving motors), industrial automation (servo driving and robots), household appliances (air conditioner compressors) and renewable energy sources (wind power generation), and promotes green manufacturing and intelligent transportation. The technical evolution is pushed by rare earth material optimization and an AI control algorithm, and is developing towards integration and intellectualization to meet the carbon neutralization requirement, wherein the bearing wear supervision of a permanent magnet synchronous motor in a permanent magnet synchronous driver becomes an important guarantee for ensuring the safe and reliable operation of the permanent magnet synchronous motor, the existing bearing wear supervision of the permanent magnet synchronous motor cannot realize scientific identification of the bearing wear fault type based on vibration frequency characteristics, and the bearing wear fault cannot be intelligently simulated and verified based on a digital modeling technology, so that the safety and the service life of the integral operation of the permanent magnet synchronous driver are reduced. The invention patent of China with the bulletin number of CN116545307B and the bulletin date of 2024.04.16 discloses a direct current brushless motor control system and a method, which are used for receiving motor current data, carrying out encryption protection treatment on normal current data, carrying out treatment on existing risks, carrying out marking treatment on existing potential risks, conveniently carrying out remote accurate monitoring and control on each control environment, accelerating the control treatment on a plurality of brushless motors at the same time, managing, visualizing and storing the brushless motor current control data and corresponding analysis results, facilitating the realization of brushless motor current control data management through Internet cloud management and improving the intelligent level of brushless motor current control data management, however, the above technical scheme cannot realize intelligent and reliable supervision on bearing mechanical faults of the brushless motors. Disclosure of Invention (One) solving the technical problems In order to solve the problems that the conventional permanent magnet synchronous motor bearing wear supervision cannot realize scientific identification of the bearing wear fault type based on vibration frequency characteristics and cannot intelligently simulate and verify bearing wear faults based on a digital modeling technology, the safety and service life of the integral operation of a permanent magnet synchronous driver are reduced, the purposes of acquiring a permanent magnet synchronous motor bearing vibration spectrum map in real time, scientifically analyzing the permanent magnet synchronous motor bearing wear faults based on the vibration spectrum, efficiently acquiring a permanent magnet synchronous motor three-dimensional model, intelligently matching the permanent magnet synchronous motor wear fault bearing three-dimensional model, digitally simulating the permanent magnet synchronous motor wear fault bearing vibration spectrum map, and scientifically monitoring the permanent magnet synchronous motor be