A permanent magnet motor intelligent maintenance and protection method and system

Abstract

The present invention discloses a method and system for intelligent maintenance and protection of permanent magnet motors, which relates to the field of maintenance and protection, wherein the method comprises: obtaining basic information of a target permanent magnet motor, and dividing the target permanent magnet motor into regions based on the basic information, and obtaining regional division results; determining an abnormal temperature information set based on a temperature acquisition information set; identifying surface crack features of the target permanent magnet motor based on an image acquisition result, and obtaining a surface crack image set; acquiring real-time working data of the target permanent magnet motor, and performing abnormal data detection based on a real-time working data set, and obtaining abnormal working data; obtaining a maintenance and protection scheme through a maintenance and protection scheme matching model in combination with the abnormal temperature information set and the surface crack image set; and performing maintenance and protection on the target permanent magnet motor based on the basic information. The technical effects of improving the comprehensiveness and accuracy of the maintenance and protection of the permanent magnet motor, and improving the maintenance and protection quality of the permanent magnet motor are achieved.

Description

Technical Field

[0001] The present invention relates to the field of maintenance and protection, and in particular to an intelligent maintenance and protection method and system for a permanent magnet motor. Background Art

[0002] With the continuous in-depth research on permanent magnet materials, the development of permanent magnet motors has attracted more and more attention. Permanent magnet motors are favored by people for their advantages such as no need for a special electric excitation system, energy saving, small motor size, and high working efficiency. Permanent magnet motors have important uses in aerospace, national defense, industrial and agricultural production, etc. However, in the actual application of permanent magnet motors, it is inevitable to repair and protect permanent magnet motors. If the permanent magnet motors are not properly repaired and protected, they may cause indelible damage to the permanent magnet motors. Researching and designing a maintenance and protection method to optimize permanent magnet motors has very important practical significance.

[0003] In the prior art, there is a technical problem that the maintenance and protection for permanent magnet motors is not comprehensive enough and accurate enough, which results in poor maintenance and protection effects for permanent magnet motors. Summary of the invention

[0004] The present application provides a method and system for intelligent maintenance and protection of permanent magnet motors, which solves the technical problem in the prior art that the maintenance and protection of permanent magnet motors is not comprehensive and accurate, which results in poor maintenance and protection effects of permanent magnet motors.

[0005] In view of the above problems, the present application provides a method and system for intelligent maintenance and protection of permanent magnet motors.

[0006] In a first aspect, the present application provides a method for intelligent maintenance and protection of a permanent magnet motor, wherein the method is applied to an intelligent maintenance and protection system for a permanent magnet motor, and the method comprises: collecting basic parameter information of a target permanent magnet motor to obtain basic information of the target permanent magnet motor, wherein the basic information comprises material information and structural information; performing regional division of the target permanent magnet motor according to the basic information to obtain regional division results; based on the regional division results, performing temperature acquisition of the target permanent magnet motor by the temperature acquisition device, and determining an abnormal temperature information set based on the temperature acquisition information set; based on the regional division results, performing image acquisition of the target permanent magnet motor by the image acquisition device, and performing surface crack feature recognition of the target permanent magnet motor based on the image acquisition results to obtain a surface crack image set;

[0007] Collect real-time working data of the target permanent magnet motor, perform abnormal data detection based on the real-time working data set, and obtain abnormal working data; obtain a maintenance and protection plan through a maintenance and protection plan matching model based on the abnormal temperature information set, the surface crack image set, and the abnormal working data; and perform maintenance and protection on the target permanent magnet motor based on the maintenance and protection plan.

[0008] In the second aspect, the present application also provides an intelligent maintenance and protection system for permanent magnet motors, wherein the system includes: a parameter acquisition module, the parameter acquisition module is used to acquire basic parameter information of the target permanent magnet motor and obtain basic information of the target permanent magnet motor, wherein the basic information includes material information and structural information; a region division module, the region division module is used to perform region division of the target permanent magnet motor according to the basic information and obtain region division results; a temperature acquisition module, the temperature acquisition module is used to perform temperature acquisition of the target permanent magnet motor through the temperature acquisition device based on the region division results, and determine abnormal temperature information based on the temperature acquisition information set. A set; an image acquisition module, the image acquisition module is used to perform image acquisition on the target permanent magnet motor according to the image acquisition device based on the area division result, identify the surface crack features of the target permanent magnet motor based on the image acquisition result, and obtain a surface crack image set; an abnormality detection module, the abnormality detection module is used to collect real-time working data of the target permanent magnet motor, perform abnormal data detection based on the real-time working data set, and obtain abnormal working data; a solution matching module, the solution matching module is used to obtain a maintenance and protection solution through a maintenance and protection solution matching model based on the abnormal temperature information set, the surface crack image set, and the abnormal working data;

[0009] A maintenance and protection module is used to perform maintenance and protection on the target permanent magnet motor based on the maintenance and protection scheme.

[0010] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0011] By collecting basic parameter information of the target permanent magnet motor, the basic information of the target permanent magnet motor is obtained, and the target permanent magnet motor is divided into regions based on the basic information, and the regional division results are obtained; the temperature of the target permanent magnet motor is collected by the temperature collection device, and the abnormal temperature information set is determined based on the temperature collection information set; the image of the target permanent magnet motor is collected by the image collection device, and the surface crack feature of the target permanent magnet motor is identified based on the image collection result to obtain the surface crack image set; the real-time working data of the target permanent magnet motor is collected, and abnormal data detection is performed based on the real-time working data set to obtain abnormal working data, and the maintenance and protection scheme is obtained by matching the abnormal temperature information set and the surface crack image set through the maintenance and protection scheme matching model, and the target permanent magnet motor is repaired and protected based on the maintenance and protection scheme. The comprehensiveness and accuracy of the maintenance and protection of the permanent magnet motor are improved, and the maintenance and protection quality of the permanent magnet motor is improved; at the same time, the intelligence of the maintenance and protection of the permanent magnet motor is improved, thereby promoting the scientific process of the maintenance and protection of the permanent magnet motor and laying the foundation for the further development of the maintenance and protection of the permanent magnet motor. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 A flowchart of an intelligent maintenance and protection method for a permanent magnet motor is provided for this application;

[0013] Figure 2 A schematic diagram of a process for obtaining abnormal working data in an intelligent maintenance and protection method for a permanent magnet motor in this application;

[0014] Figure 3 A schematic diagram of a process of repairing and protecting a target permanent magnet motor based on a motor repair and protection scheme in a permanent magnet motor intelligent repair and protection method of the present application;

[0015] Figure 4 The present invention is a structural schematic diagram of an intelligent maintenance and protection system for a permanent magnet motor.

[0016] Explanation of the reference numerals: parameter acquisition module 11 , area division module 12 , temperature acquisition module 13 , image acquisition module 14 , anomaly detection module 15 , solution matching module 16 , maintenance and protection module 17 . DETAILED DESCRIPTION

[0017] The present application provides a method and system for intelligent maintenance and protection of permanent magnet motors. It solves the technical problem in the prior art that the maintenance and protection of permanent magnet motors is not comprehensive and accurate, which results in poor maintenance and protection effects of permanent magnet motors. It achieves the technical effect of improving the comprehensiveness and accuracy of the maintenance and protection of permanent magnet motors, and improving the maintenance and protection quality of permanent magnet motors; at the same time, it improves the intelligence of the maintenance and protection of permanent magnet motors, thereby promoting the scientific process of maintenance and protection of permanent magnet motors, and laying the foundation for the further development of maintenance and protection of permanent magnet motors.

[0018] Embodiment 1

[0019] Please see attached Figure 1 The present application provides a permanent magnet motor intelligent maintenance and protection method, wherein the method is applied to a permanent magnet motor intelligent maintenance and protection system, the system is communicatively connected with a temperature acquisition device and an image acquisition device, and the method specifically comprises the following steps:

[0020] Step S100: collecting basic parameter information of the target permanent magnet motor to obtain basic information of the target permanent magnet motor, wherein the basic information includes material information and structure information;

[0021] Step S200: performing regional division of the target permanent magnet motor according to the basic information to obtain regional division results;

[0022] Specifically, the basic information of the target permanent magnet motor is obtained by collecting basic parameters of the target permanent magnet motor, and the target permanent magnet motor is divided into regions based on the basic parameters, and the regional division results are determined. Wherein, the target permanent magnet motor is any permanent magnet motor that uses the permanent magnet motor intelligent maintenance and protection system for intelligent maintenance and protection. For example, the target permanent magnet motor can be a permanent magnet synchronous motor, a rare earth permanent magnet motor, a ferrite permanent magnet motor, an aluminum nickel cobalt permanent magnet motor, etc. The basic information includes material information and structural information of the target permanent magnet motor. The material information includes material composition information, material component content information, and material performance information such as density, hardness, corrosion resistance, and impact toughness of the target permanent magnet motor. The structural information includes structural composition information such as the end cover, base, stator, stator winding, rotor, fan, and fan cover of the target permanent magnet motor. The regional division results include information such as the position and area of ​​multiple regions of the target permanent magnet motor. Exemplarily, the regional division results include the end cover area, base area, stator area, rotor area, etc. of the target permanent magnet motor. The technical effect of reasonably dividing the target permanent magnet motor into regions according to basic information and obtaining accurate regional division results has been achieved, laying the foundation for subsequent intelligent maintenance and protection of the target permanent magnet motor.

[0023] Step S300: Based on the area division result, the temperature of the target permanent magnet motor is collected by the temperature collection device, and an abnormal temperature information set is determined based on the temperature collection information set;

[0024] Furthermore, step S300 of the present application also includes:

[0025] Step S310: Arrange the temperature collection device according to the area division result to obtain the arrangement result of the temperature collection device;

[0026] Step S320: performing temperature collection of the target permanent magnet motor based on the layout result of the temperature collection device and the area division result to obtain the temperature collection information set;

[0027] Step S330: constructing a temperature-region curve based on the temperature collection information set and the region division result;

[0028] Specifically, a temperature acquisition device is arranged on the target permanent magnet motor according to the regional division results, the arrangement result of the temperature acquisition device is determined, and the temperature of the target permanent magnet motor is collected according to the temperature acquisition device, a temperature acquisition information set is obtained, and a temperature-region curve is constructed in combination with the regional division results. Wherein, the temperature acquisition device is connected to the intelligent maintenance and protection system of the permanent magnet motor in communication. The temperature acquisition device can be a temperature acquisition device such as a temperature collector and a temperature data collector in the prior art. The arrangement result of the temperature acquisition device includes the number of temperature acquisition devices arranged and the arrangement position of the temperature acquisition device. Moreover, the arrangement result of the temperature acquisition device has a corresponding relationship with the regional division results. The temperature acquisition information set includes temperature data information corresponding to the regional division results. The temperature-region curve can use the regional division results as the horizontal coordinate and the temperature acquisition information set as the vertical coordinate to characterize the corresponding relationship between the temperature acquisition information set and the regional division results. The technical effect of using the temperature acquisition information set and the regional division results to construct the temperature-region curve and provide data support for the subsequent acquisition of the abnormal temperature information set is achieved.

[0029] Step S340: performing abnormal temperature judgment on the temperature-region curve based on the historical temperature-region curve to obtain the abnormal temperature information set.

[0030] Furthermore, step S340 of the present application also includes:

[0031] Step S341: collecting a historical temperature database when the target permanent magnet motor is working normally, wherein the historical temperature database includes multiple historical temperature information of multiple parts of the target permanent magnet motor;

[0032] Step S342: performing cluster analysis on the historical temperature database based on the regional division result to obtain a historical temperature collection information set;

[0033] Step S343: constructing the historical temperature-region curve based on the historical temperature collection information set and the region division result.

[0034] Specifically, the intelligent maintenance and protection system for permanent magnet motors collects data on the historical temperature information of the target permanent magnet motor when it is working normally, obtains a historical temperature database, and performs cluster analysis on it according to the regional division results to obtain a historical temperature collection information set, and then determines the historical temperature-region curve. Further, the historical temperature-region curve is used to judge the abnormal temperature of the temperature-region curve, that is, the historical temperature-region curve is overlapped and compared with the temperature-region curve to obtain an abnormal temperature information set. Among them, the historical temperature database includes multiple historical temperature information of multiple parts of the target permanent magnet motor. The cluster analysis is to classify similar research objects into categories when facing more complex research objects, so that individuals in the same category have greater similarity and individuals in different categories have great differences. The historical temperature collection information set includes multiple cluster analysis results. The same cluster analysis result includes historical temperature information corresponding to the same regional division result. Different cluster analysis results include historical temperature information corresponding to different regional division results. The historical temperature-region curve uses the regional division results as the horizontal axis and the historical temperature collection information set as the vertical axis to characterize the corresponding relationship between the historical temperature collection information set and the regional division results. The abnormal temperature information set includes a plurality of temperature data information in the temperature-region curve that do not overlap with the historical temperature-region curve, thereby achieving the technical effect of determining a reliable abnormal temperature information set and thus improving the comprehensiveness of the maintenance and protection of the target permanent magnet motor.

[0035] Step S400: Based on the region division result, the image acquisition device is used to acquire images of the target permanent magnet motor, and surface crack features of the target permanent magnet motor are identified based on the image acquisition result to obtain a surface crack image set;

[0036] Furthermore, step S400 of the present application also includes:

[0037] Step S410: Based on the region division result, the image acquisition device performs image acquisition of the target permanent magnet motor to obtain the image acquisition result;

[0038] Step S420: collecting historical surface crack image information of the same type of permanent magnet motor based on big data to obtain historical image collection results of the same type of permanent magnet motor, wherein the same type of permanent magnet motor refers to a permanent magnet motor with the same style and model as the target permanent magnet motor;

[0039] Step S430: obtaining preset surface crack features based on historical image acquisition results of the same type of permanent magnet motor;

[0040] Step S440: performing feature recognition on the image acquisition results based on the preset surface crack features to obtain the surface crack image set.

[0041] Specifically, according to the regional division results, the image acquisition device is used to collect images of the target permanent magnet motor to obtain image acquisition results. Further, the permanent magnet motor intelligent maintenance and protection system collects historical surface crack image information of the same type of permanent magnet motor through big data, obtains historical image acquisition results of the same type of permanent magnet motor, and determines the preset surface crack features after performing intelligent analysis. Then, the image acquisition results are feature recognized according to the preset surface crack features to obtain a surface crack image set. Among them, the image acquisition device can be any type of camera device capable of collecting and obtaining image information in the prior art or a combination thereof. The image acquisition results include image data information corresponding to the regional division results. The same type of permanent magnet motor is a same parameter device of the target permanent magnet motor, that is, the same type of permanent magnet motor and the target permanent magnet motor have the same style, the same model and the same parameters. The historical image acquisition results include multiple historical surface crack image data information of the same type of permanent magnet motor. The preset surface crack features include data information such as the crack pattern, crack direction, and crack size of the preset surface cracks. The surface crack image set includes image data information in the image acquisition results that conforms to the preset surface crack features. The technical effect of using the preset surface crack features to perform feature recognition on the image acquisition results, obtaining an accurate surface crack image set, and thus improving the accuracy of subsequent maintenance and protection of the target permanent magnet motor is achieved.

[0042] Furthermore, step S410 of the present application also includes:

[0043] Step S411: performing image quality assessment on multiple image data information in the image acquisition result respectively to obtain multiple image quality assessment coefficients;

[0044] Step S412: obtaining a preset image quality assessment coefficient;

[0045] Step S413: respectively determining whether the plurality of image quality assessment coefficients satisfy the preset image quality assessment coefficients;

[0046] Step S414: if the image quality assessment coefficient does not meet the preset image quality assessment coefficient, obtaining a supplementary image acquisition instruction;

[0047] Step S415: performing supplementary image acquisition of the target permanent magnet motor according to the supplementary image acquisition instruction, obtaining a supplementary image acquisition result, and adding the supplementary image acquisition result to the image acquisition result.

[0048] Specifically, the permanent magnet motor intelligent maintenance and protection system respectively performs image quality assessment on multiple image data information in the image acquisition result, determines multiple image quality assessment coefficients, and respectively judges whether the multiple image quality assessment coefficients meet the preset image quality assessment coefficients. If the image quality assessment coefficient does not meet the preset image quality assessment coefficient, a supplementary image acquisition instruction is automatically obtained, and then the supplementary image acquisition result is obtained and added to the image acquisition result. Among them, the multiple image quality assessment coefficients can be used to characterize the integrity, clarity and other parameter information of multiple image data information in the image acquisition result. The higher the integrity and clarity of the image data information, the higher the image quality assessment coefficient corresponding to the image data information. The preset image quality assessment coefficient is determined by the custom setting of the permanent magnet motor intelligent maintenance and protection system. The supplementary image acquisition instruction is an instruction information used to characterize that the image quality assessment coefficient does not meet the preset image quality assessment coefficient, and the image data information corresponding to the image quality assessment coefficient needs to be re-collected. The supplementary image acquisition result includes the re-collected image of the image data information that does not meet the preset image quality assessment coefficient. The technical effect of performing image quality assessment on image acquisition results and adaptively supplementing image acquisition in combination with preset image quality assessment coefficients is achieved, thereby improving the accuracy of image acquisition results and further improving the accuracy of the subsequently obtained surface crack image set.

[0049] Step S500: collecting real-time working data of the target permanent magnet motor, performing abnormal data detection based on the real-time working data set, and obtaining abnormal working data;

[0050] Further, as attached Figure 2 As shown, step S500 of the present application also includes:

[0051] Step S510: collecting real-time operating data of the target permanent magnet motor to obtain the real-time operating data set;

[0052] Step S520: collecting historical operating data of the target permanent magnet motor and constructing a training data set;

[0053] Step S530: Based on the training data set, construct an abnormal data detection model by using the isolation forest method;

[0054] Step S540: input the real-time working data set into the abnormal data detection model to obtain the abnormal working data.

[0055] Specifically, the real-time working data of the target permanent magnet motor is collected by the intelligent maintenance and protection system of the permanent magnet motor to obtain a real-time working data set. Furthermore, the historical working data of the target permanent magnet motor is collected by the intelligent maintenance and protection system of the permanent magnet motor to obtain a training data set, and the data is trained by the isolation forest method to obtain an abnormal data detection model. Further, the real-time working data set is used as input information, input into the abnormal data detection model, and the abnormal working data is determined. Among them, the real-time working data set includes real-time working data information such as real-time current, real-time voltage, real-time power, and real-time motor speed of the target permanent magnet motor. The training data set includes historical working data information such as historical current, historical voltage, historical power, and historical motor speed of the target permanent magnet motor. The isolation forest method is an abnormality detection method, which regards the abnormal data in the training data set as relatively easy to isolate and outlier data, and regards the normal data in the training data set as relatively dense and not easy to isolate data. The abnormal data detection model has the function of performing abnormal data detection on the input real-time working data set. The abnormal working data includes abnormal current, abnormal voltage, abnormal power, abnormal motor speed, etc. The technical effect of using the abnormal data detection model to obtain abnormal working data and improve data reference for subsequent maintenance and protection solutions has been achieved.

[0056] Step S600: Based on the abnormal temperature information set, the surface crack image set, and the abnormal working data, a maintenance and protection scheme is obtained through a maintenance and protection scheme matching model;

[0057] Step S700: Perform maintenance and protection on the target permanent magnet motor based on the maintenance and protection scheme.

[0058] Specifically, the abnormal temperature information set, the surface crack image set, and the abnormal working data are used as input information and input into the maintenance and protection scheme matching model to obtain the maintenance and protection scheme, and the target permanent magnet motor is maintained and protected according to the maintenance and protection scheme. Among them, the maintenance and protection scheme matching model is obtained through a large amount of data information related to abnormal temperature information, surface crack images, and abnormal working data. It has the function of scientifically analyzing the abnormal temperature information set, surface crack image set, and abnormal working data, and intelligently matching the maintenance and protection scheme. The maintenance and protection scheme includes data information such as specific methods and steps for maintenance and protection of the target permanent magnet motor. The technical effect of using the maintenance and protection scheme matching model to obtain a maintenance and protection scheme with high accuracy and strong adaptability, and improving the quality of maintenance and protection of the target permanent magnet motor is achieved.

[0059] Further, as attached Figure 3 As shown, after step S700, the present application further includes:

[0060] Step S810: obtaining a real-time motor speed based on the real-time working data;

[0061] Step S820: collecting a historical motor speed set when the target permanent magnet motor works normally, and determining a motor speed range based on the historical motor speed set;

[0062] Step S830: determining whether the real-time motor speed satisfies the motor speed range;

[0063] Step S840: If the real-time motor speed does not satisfy the motor speed range, a motor maintenance and protection plan is obtained, and maintenance and protection is performed on the target permanent magnet motor based on the motor maintenance and protection plan.

[0064] Specifically, the real-time motor speed is extracted from the real-time working data obtained, and the maximum value and the minimum value of the historical motor speed are determined according to the historical motor speed set, and then the motor speed interval is determined. Further, it is judged whether the real-time motor speed meets the motor speed interval. If the real-time motor speed does not meet the motor speed interval, the motor maintenance and protection plan is obtained, and the target permanent magnet motor is repaired and protected according to it. The motor speed interval includes motor speed range information consisting of the maximum value and the minimum value of the historical motor speed. The historical motor speed set includes multiple historical motor speeds when the target permanent magnet motor is working normally. The motor maintenance and protection plan includes data information such as specific methods and steps for repairing and protecting the target permanent magnet motor according to the real-time motor speed. The technical effect of using the motor maintenance and protection plan to repair and protect the target permanent magnet motor and improve the comprehensiveness and accuracy of the maintenance and protection of the target permanent magnet motor is achieved.

[0065] When repairing and protecting the target permanent magnet motor according to the motor maintenance and protection plan, it is often necessary to assemble or disassemble the rotor and stator of the target permanent magnet motor equipped with magnetic steel. At this time, in order to prevent injuries to personnel during the removal of magnetic steel, it is necessary to prepare for magnetic isolation and formulate preventive details to prevent contact between people and magnetic steel, magnetic steel and magnetic steel, and magnetic steel and steel parts to avoid impact damage to magnetic metals. Use pre-made magnetic isolation tools to isolate magnetic sensitive products such as electronic products to prevent damage from the strong magnetic field of magnetic steel. Magnetic isolation tools can also prevent damage from collisions between magnetic steels, as well as collisions between magnetic steels and soft magnetic materials such as magnetic poles, cast iron parts, welded parts, and shafts, thereby minimizing structural damage to the rotor and stator of the target permanent magnet motor. Magnetic isolation tools can be magnetic isolation tools made of magnetic isolation materials, magnetic steel separation equipment, etc. Magnetic isolation materials are very common, and the magnetic isolation tools made can be plastic products, non-magnetic electrical materials, copper and aluminum and other non-magnetic metals, etc.

[0066] When disassembling the magnet, due to the characteristics of the magnet being easy to break when bumped, the disassembly of the magnet should be carried out in steps. Before the rotor is pushed out, the magnet should be disassembled and the permanent magnet motor should be in a vertical state. During operation, the magnet should be prevented from being ejected due to the magnetic attraction after the magnetic shielding plate is removed. The magnetic shielding barrel made of the rotor shaft is put on the inner ring of the magnet to prevent the magnet from automatically ejecting due to the mutual attraction and the attraction between the magnet and the shaft after the magnetic shielding fixing plate installed on the magnetic pole is removed. The resulting magnetic steel bumps and causes damage to the magnet or injury to people. Therefore, magnetic shielding materials should be used to make magnetic shielding protective connection tooling and other measures to prevent damage to the magnet. A magnetic shielding positioning ruler is required to install the magnet to ensure that each magnet is installed in place and the magnetic circuit of each pole is unobstructed without air gaps. The magnetic shielding connection groove is used for rotor disassembly and assembly. The size and length of the magnetic shielding connection groove are determined according to the size of the disassembled magnet.

[0067] In summary, the intelligent maintenance and protection method for permanent magnet motors provided in this application has the following technical effects:

[0068] By collecting basic parameter information of the target permanent magnet motor, the basic information of the target permanent magnet motor is obtained, and the target permanent magnet motor is divided into regions based on the basic information, and the regional division results are obtained; the temperature of the target permanent magnet motor is collected by the temperature collection device, and the abnormal temperature information set is determined based on the temperature collection information set; the image of the target permanent magnet motor is collected by the image collection device, and the surface crack feature of the target permanent magnet motor is identified based on the image collection result to obtain the surface crack image set; the real-time working data of the target permanent magnet motor is collected, and abnormal data detection is performed based on the real-time working data set to obtain abnormal working data, and the maintenance and protection scheme is obtained by matching the abnormal temperature information set and the surface crack image set through the maintenance and protection scheme matching model, and the target permanent magnet motor is repaired and protected based on the maintenance and protection scheme. The comprehensiveness and accuracy of the maintenance and protection of the permanent magnet motor are improved, and the maintenance and protection quality of the permanent magnet motor is improved; at the same time, the intelligence of the maintenance and protection of the permanent magnet motor is improved, thereby promoting the scientific process of the maintenance and protection of the permanent magnet motor and laying the foundation for the further development of the maintenance and protection of the permanent magnet motor.

[0069] Embodiment 2

[0070] Based on the same inventive concept as the intelligent maintenance and protection method for a permanent magnet motor in the aforementioned embodiment, the present invention also provides an intelligent maintenance and protection system for a permanent magnet motor, see the attached Figure 4 , the system comprising:

[0071] A parameter acquisition module 11, wherein the parameter acquisition module 11 is used to acquire basic parameter information of the target permanent magnet motor to obtain basic information of the target permanent magnet motor, wherein the basic information includes material information and structure information;

[0072] A region division module 12, wherein the region division module 12 is used to perform region division of the target permanent magnet motor according to the basic information to obtain a region division result;

[0073] A temperature acquisition module 13, wherein the temperature acquisition module 13 is used to acquire the temperature of the target permanent magnet motor through the temperature acquisition device based on the area division result, and determine an abnormal temperature information set based on the temperature acquisition information set;

[0074] An image acquisition module 14, wherein the image acquisition module 14 is used to acquire images of the target permanent magnet motor based on the region division result and the image acquisition device, and to identify surface crack features of the target permanent magnet motor based on the image acquisition result to obtain a surface crack image set;

[0075] An abnormality detection module 15, the abnormality detection module 15 is used to collect real-time working data of the target permanent magnet motor, perform abnormal data detection based on the real-time working data set, and obtain abnormal working data;

[0076] A solution matching module 16, the solution matching module 16 is used to obtain a maintenance and protection solution through a maintenance and protection solution matching model based on the abnormal temperature information set, the surface crack image set, and the abnormal working data;

[0077] A maintenance and protection module 17 is used to perform maintenance and protection on the target permanent magnet motor based on the maintenance and protection scheme.

[0078] Furthermore, the system also includes:

[0079] A layout module, the layout module is used to layout the temperature collection device according to the area division result, and obtain the layout result of the temperature collection device;

[0080] A temperature acquisition information set determination module, the temperature acquisition information set determination module is used to perform temperature acquisition of the target permanent magnet motor based on the layout result of the temperature acquisition device and the area division result to obtain the temperature acquisition information set;

[0081] A curve construction module, the curve construction module is used to construct a temperature-region curve based on the temperature collection information set and the region division result;

[0082] The abnormal temperature information set determination module is used to perform abnormal temperature judgment on the temperature-region curve based on the historical temperature-region curve to obtain the abnormal temperature information set.

[0083] Furthermore, the system also includes:

[0084] A historical temperature acquisition module, wherein the historical temperature acquisition module is used to acquire a historical temperature database when the target permanent magnet motor is operating normally, wherein the historical temperature database includes multiple historical temperature information of multiple parts of the target permanent magnet motor;

[0085] A cluster analysis module, wherein the cluster analysis module is used to perform cluster analysis on the historical temperature database based on the regional division results to obtain a historical temperature collection information set;

[0086] A historical curve construction module is used to construct the historical temperature-region curve based on the historical temperature collection information set and the region division result.

[0087] Furthermore, the system also includes:

[0088] An image acquisition result determination module, wherein the image acquisition result determination module is used to acquire the image of the target permanent magnet motor according to the image acquisition device based on the region division result to obtain the image acquisition result;

[0089] A historical image acquisition result determination module, the historical image acquisition result determination module is used to acquire historical surface crack image information of the same type of permanent magnet motor based on big data, and obtain historical image acquisition results of the same type of permanent magnet motor, wherein the same type of permanent magnet motor refers to a permanent magnet motor of the same style and model as the target permanent magnet motor;

[0090] A preset surface crack feature determination module, wherein the preset surface crack feature determination module is used to obtain preset surface crack features based on historical image acquisition results of the same type of permanent magnet motor;

[0091] A surface crack image set determination module is used to perform feature recognition on the image acquisition results based on the preset surface crack features to obtain the surface crack image set.

[0092] Furthermore, the system also includes:

[0093] An image quality assessment module, the image quality assessment module is used to perform image quality assessment on multiple image data information in the image acquisition result respectively, and obtain multiple image quality assessment coefficients;

[0094] A preset image evaluation coefficient determination module, wherein the preset image evaluation coefficient determination module is used to obtain a preset image quality evaluation coefficient;

[0095] A first judgment module, the first judgment module is used to respectively judge whether the multiple image quality assessment coefficients meet the preset image quality assessment coefficients;

[0096] An instruction acquisition module, wherein the instruction acquisition module is used to obtain a supplementary image acquisition instruction if the image quality assessment coefficient does not meet the preset image quality assessment coefficient;

[0097] A supplementary image acquisition module is used to perform supplementary image acquisition of the target permanent magnet motor according to the supplementary image acquisition instruction, obtain a supplementary image acquisition result, and add the supplementary image acquisition result to the image acquisition result.

[0098] Furthermore, the system also includes:

[0099] A real-time data acquisition module, wherein the real-time data acquisition module is used to acquire real-time working data of the target permanent magnet motor and obtain the real-time working data set;

[0100] A data set construction module, wherein the data set construction module is used to collect historical working data of the target permanent magnet motor and construct a training data set;

[0101] An abnormal data detection model determination module, the abnormal data detection model determination module is used to construct an abnormal data detection model based on the training data set by using an isolation forest method;

[0102] The abnormal working data determination module is used to input the real-time working data set into the abnormal data detection model to obtain the abnormal working data.

[0103] Furthermore, the system also includes:

[0104] A real-time speed determination module, the real-time speed determination module is used to obtain the real-time motor speed based on the real-time working data;

[0105] A motor speed interval determination module, the motor speed interval determination module is used to collect a historical motor speed set when the target permanent magnet motor is working normally, and determine the motor speed interval based on the historical motor speed set;

[0106] A second judgment module, the second judgment module is used to judge whether the real-time motor speed meets the motor speed range;

[0107] A motor maintenance and protection module is used to obtain a motor maintenance and protection plan if the real-time motor speed does not meet the motor speed range, and to perform maintenance and protection on the target permanent magnet motor based on the motor maintenance and protection plan.

[0108] The present application provides a method for intelligent maintenance and protection of permanent magnet motors, wherein the method is applied to an intelligent maintenance and protection system for permanent magnet motors, and the method includes: acquiring basic information of the target permanent magnet motor by acquiring basic parameter information of the target permanent magnet motor, and dividing the target permanent magnet motor into regions based on the information, and obtaining regional division results; acquiring the temperature of the target permanent magnet motor by the temperature acquisition device, and determining an abnormal temperature information set based on the temperature acquisition information set; acquiring images of the target permanent magnet motor by the image acquisition device, and identifying surface crack features of the target permanent magnet motor based on the image acquisition results, and obtaining a surface crack image set; acquiring real-time working data of the target permanent magnet motor, performing abnormal data detection based on the real-time working data set, and obtaining abnormal working data, and acquiring a maintenance and protection plan through a maintenance and protection plan matching model in combination with the abnormal temperature information set and the surface crack image set, and performing maintenance and protection on the target permanent magnet motor based on the maintenance and protection plan. The method solves the technical problem that the maintenance and protection of permanent magnet motors in the prior art are not comprehensive and accurate, which leads to poor maintenance and protection effects of permanent magnet motors. The technical effect is achieved by improving the comprehensiveness and accuracy of the maintenance and protection of permanent magnet motors, and improving the maintenance and protection quality of permanent magnet motors; at the same time, improving the intelligence of the maintenance and protection of permanent magnet motors, thereby promoting the scientific process of maintenance and protection of permanent magnet motors, and laying the foundation for the further development of maintenance and protection of permanent magnet motors.

[0109] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0110] This specification and the drawings are merely exemplary illustrations of the present application. If modifications and variations of the present invention fall within the scope of the present invention and its equivalent technology, the present invention is intended to include these modifications and variations.

Claims

1. A permanent magnet motor intelligent maintenance and protection method, characterized in that: The method is applied to an intelligent maintenance and protection system for a permanent magnet motor, the system is communicatively connected with a temperature acquisition device and an image acquisition device, and the method comprises: Collect basic parameter information of the target permanent magnet motor to obtain basic information of the target permanent magnet motor, wherein the basic information includes material information and structure information; The material information includes material composition information, material component content information, density, hardness, corrosion resistance, and impact toughness of the target permanent magnet motor; the structural information includes structural composition information of the end cover, base, stator, stator winding, rotor, fan, and fan cover of the target permanent magnet motor; Performing regional division of the target permanent magnet motor according to the basic information to obtain regional division results, wherein the regional division results include multiple regional positions and regional area information of the target permanent magnet motor; Based on the regional division result, the temperature of the target permanent magnet motor is collected by the temperature collection device, and an abnormal temperature information set is determined based on the temperature collection information set; Arrange the temperature collection device according to the area division result to obtain the arrangement result of the temperature collection device; Based on the layout result of the temperature acquisition device and the area division result, the temperature of the target permanent magnet motor is acquired to obtain the temperature acquisition information set; Constructing a temperature-region curve based on the temperature collection information set and the region division result; Performing abnormal temperature judgment on the temperature-region curve based on the historical temperature-region curve to obtain the abnormal temperature information set; Collecting a historical temperature database when the target permanent magnet motor is working normally, wherein the historical temperature database includes multiple historical temperature information of multiple parts of the target permanent magnet motor; Performing cluster analysis on the historical temperature database based on the regional division results to obtain a historical temperature collection information set; Based on the historical temperature collection information set and the regional division result, construct the historical temperature-region curve; Based on the region division result, the image acquisition device is used to acquire images of the target permanent magnet motor, and surface crack features of the target permanent magnet motor are identified based on the image acquisition result to obtain a surface crack image set, that is, based on the region division result, the image acquisition device is used to acquire images of the target permanent magnet motor to obtain the image acquisition result; Based on big data, historical surface crack image information of the same type of permanent magnet motor is collected to obtain historical image collection results of the same type of permanent magnet motor, wherein the same type of permanent magnet motor refers to a permanent magnet motor with the same style and model as the target permanent magnet motor; Based on the historical image acquisition results of the same type of permanent magnet motor, a preset surface crack feature is obtained; Performing feature recognition on the image acquisition result based on the preset surface crack feature to obtain the surface crack image set; Collect the real-time working data of the target permanent magnet motor, perform abnormal data detection based on the real-time working data set, and obtain abnormal working data; Based on the abnormal temperature information set, the surface crack image set, and the abnormal working data, a maintenance and protection plan is obtained through a maintenance and protection plan matching model; The target permanent magnet motor is maintained and protected based on the maintenance and protection scheme.

2. The method according to claim 1, characterized in that After obtaining the image acquisition result, the method further includes: Performing image quality assessment on multiple image data information in the image acquisition result respectively to obtain multiple image quality assessment coefficients; Obtaining a preset image quality assessment coefficient; respectively determining whether the plurality of image quality assessment coefficients satisfy the preset image quality assessment coefficients; If the image quality assessment coefficient does not meet the preset image quality assessment coefficient, obtaining a supplementary image acquisition instruction; Supplementary image acquisition of the target permanent magnet motor is performed according to the supplementary image acquisition instruction to obtain a supplementary image acquisition result, and the supplementary image acquisition result is added to the image acquisition result.

3. The method according to claim 1, characterized in that The method for obtaining abnormal working data further includes: Collecting real-time operating data of the target permanent magnet motor to obtain the real-time operating data set; Collect historical working data of the target permanent magnet motor and build a training data set; Based on the training data set, an abnormal data detection model is constructed by using the isolation forest method; The real-time working data set is input into the abnormal data detection model to obtain the abnormal working data.

4. The method according to claim 1, characterized in that The method further comprises: Based on the real-time working data, obtaining the real-time motor speed; Collecting a historical motor speed set when the target permanent magnet motor is working normally, and determining a motor speed range based on the historical motor speed set; Determine whether the real-time motor speed satisfies the motor speed range; If the real-time motor speed does not satisfy the motor speed range, a motor maintenance and protection plan is obtained, and maintenance and protection are performed on the target permanent magnet motor based on the motor maintenance and protection plan.

5. An intelligent maintenance and protection system for permanent magnet motors, the system being used to execute the method according to any one of claims 1 to 4, characterized in that: The system is connected in communication with a temperature acquisition device and an image acquisition device, and the system comprises: A parameter acquisition module, wherein the parameter acquisition module is used to acquire basic parameter information of the target permanent magnet motor to obtain basic information of the target permanent magnet motor, wherein the basic information includes material information and structure information; A region division module, wherein the region division module is used to perform region division of the target permanent magnet motor according to the basic information to obtain a region division result; A temperature acquisition module, wherein the temperature acquisition module is used to acquire the temperature of the target permanent magnet motor through the temperature acquisition device based on the area division result, and determine an abnormal temperature information set based on the temperature acquisition information set; An image acquisition module, wherein the image acquisition module is used to acquire images of the target permanent magnet motor according to the image acquisition device based on the region division result, identify surface crack features of the target permanent magnet motor based on the image acquisition result, and obtain a surface crack image set; An abnormality detection module, the abnormality detection module is used to collect real-time working data of the target permanent magnet motor, perform abnormal data detection based on the real-time working data set, and obtain abnormal working data; A scheme matching module, wherein the scheme matching module is used to obtain a maintenance and protection scheme through a maintenance and protection scheme matching model based on the abnormal temperature information set, the surface crack image set, and the abnormal working data; A maintenance and protection module is used to perform maintenance and protection on the target permanent magnet motor based on the maintenance and protection scheme.

Images