阅读说明：本技术 一种电机绕组的浸漆工艺监测方法及系统 (Paint dipping process monitoring method and system for motor winding ) 是由 孙嘉程 许斌 李辉 于 2021-10-24 设计创作，主要内容包括：本申请公开了一种电机绕组的浸漆工艺监测方法及系统,所述方法包括：通过获得第一电机绕组的第一整体布线接线图确定线圈个数和绕线层数；构建电机绕组浸漆工艺匹配模型；将线圈个数和绕线层数输入电机绕组浸漆工艺匹配模型进行参数训练,获得预设匹配工艺；对所述第一电机绕组进行浸漆工艺,基于摄像头装置获得第一浸漆图像信息；判断所述第一电机绕组的表面漆膜和内部浸漆是否满足预设浸漆状态；若没有满足所述预设浸漆状态,对所述预设匹配工艺进行调整,并将调整后的参数上传至电机绕组浸漆工艺匹配模型。解决了现有技术中存在无法针对各电机绕组实际情况快速制定对应的浸漆方案,同时存在无法高效检测绕组浸漆效果的技术问题。(The application discloses a method and a system for monitoring a paint dipping process of a motor winding, wherein the method comprises the following steps: determining the number of coils and the number of winding layers by obtaining a first integral wiring diagram of a first motor winding; constructing a motor winding paint dipping process matching model; inputting the number of coils and the number of winding layers into a motor winding paint dipping process matching model for parameter training to obtain a preset matching process; performing a paint dipping process on the first motor winding, and acquiring first paint dipping image information based on a camera device; judging whether the surface paint film and the internal paint dipping of the first motor winding meet a preset paint dipping state or not; and if the preset paint dipping state is not met, adjusting the preset matching process, and uploading the adjusted parameters to a motor winding paint dipping process matching model. The technical problems that in the prior art, a corresponding paint dipping scheme cannot be rapidly formulated according to the actual conditions of each motor winding, and the paint dipping effect of the winding cannot be efficiently detected are solved.)

1. A paint dipping process monitoring method for a motor winding, wherein the method is applied to a paint dipping process monitoring system, and the method comprises the following steps:

obtaining a first integral wiring diagram of a first motor winding;

determining the number of coils and the number of winding layers according to the first integral wiring diagram;

constructing a motor winding paint dipping process matching model;

inputting the number of coils and the number of winding layers into a motor winding paint dipping process matching model for parameter training to obtain a preset matching process, wherein the preset matching process comprises preset paint viscosity and preset paint dipping time, and the preset matching process has periodic difference;

performing a paint dipping process on the first motor winding according to the preset paint viscosity and the preset paint dipping time, and performing whole-process image acquisition on the paint dipping process based on a camera device to obtain first paint dipping image information;

judging whether the surface paint film and the internal paint dipping of the first motor winding meet a preset paint dipping state or not according to the first paint dipping image information;

and if the surface paint film and the internal paint dipping of the first motor winding do not meet the preset paint dipping state, adjusting the preset matching process, and uploading the adjusted parameters to the motor winding paint dipping process matching model.

2. The method of claim 1, wherein the method further comprises:

carrying out periodic splitting on the preset matching process to obtain a primary paint dipping process and a secondary paint dipping process;

acquiring primary paint dipping image information according to the primary paint dipping process and the first paint dipping image information;

judging whether the dip coating inside the winding of the first motor winding is soaked or not according to the primary dip coating image information;

if the dip coating in the winding of the first motor winding is not soaked, obtaining the actual paint viscosity and the actual dip coating time of the primary dip coating process;

judging whether the actual paint viscosity and the actual paint dipping time respectively meet the paint dipping process requirement of the first half period in the periodic difference;

and if the actual paint viscosity and the actual paint dipping time do not respectively meet the paint dipping process requirement of the first half period in the periodic difference, adjusting the actual paint viscosity and the actual paint dipping time in the paint dipping process requirement of the first half period.

3. A method according to claim 2 wherein said determining whether said actual paint viscosity and said actual dip time each satisfy a first half cycle dip process requirement of said periodic difference further comprises:

if the actual paint viscosity and the actual paint dipping time respectively meet the paint dipping process requirement of the first half period in the periodic difference, obtaining the paint dipping temperature information inside the winding of the first motor winding;

based on a temperature sensor, obtaining initial process temperature information and finishing process temperature information of the primary paint dipping process;

obtaining maximum temperature difference information based on the initial process temperature information and the finishing process temperature information;

judging whether the maximum temperature difference information fluctuates within a preset temperature difference threshold value;

and if the maximum temperature difference information does not fluctuate within the preset temperature difference threshold value, adjusting the paint dipping temperature information inside the winding.

4. The method of claim 3, wherein the adjusting the winding interior dip temperature information further comprises:

acquiring a paint viscosity information set corresponding to the paint dipping temperature information set in each winding within the preset temperature difference threshold value based on big data;

performing preset regular arrangement distribution processing on the paint viscosity information set to obtain a preset paint viscosity gradient;

sequentially matching temperature information sets corresponding to the gradient viscosities to generate a first mapping gradient set based on the preset paint viscosity gradient, wherein the gradient viscosities correspond to the temperature information one by one;

obtaining each influence parameter set of each gradient viscosity caused by each temperature information in each mapping gradient according to the first mapping gradient set;

inputting the maximum temperature difference information into each influence parameter set to obtain corresponding influence parameters;

and adjusting the paint dipping temperature information in the winding according to the influence parameters.

5. The method of claim 2, wherein said determining if a winding interior of said first motor winding is saturated with varnish further comprises:

if the interior of the winding of the first motor winding is completely soaked in the dip coating, obtaining secondary dip coating image information according to the first dip coating image;

acquiring winding surface image information of the first motor winding according to the secondary dip coating image information;

judging whether the surface of the winding is formed into a film within a preset time and is kept stable according to the image information of the surface of the winding;

if the winding surface is filmed within the preset time but is not kept stable, monitoring dip coating bubble information in the winding surface image information in real time until preset surface image information is obtained, wherein the preset surface image information comprises disappearance of bubbles on the winding surface;

and according to the preset surface image information, obtaining a first end instruction, and ending the secondary paint dipping of the first motor winding.

6. The method according to claim 4, wherein the collecting paint viscosity information sets corresponding to the paint dipping temperature information sets in the windings within the predetermined temperature difference threshold value further comprises:

obtaining a first set of characterizing data from the set of paint viscosity information;

performing centralized processing on the first characteristic data set to obtain a second characteristic data set;

obtaining a first covariance matrix of the second feature data set;

calculating the first covariance matrix to obtain a first eigenvalue and a first eigenvector of the first covariance matrix;

and projecting the first feature data set to the first feature vector to obtain a first dimension reduction data set, wherein the first dimension reduction data set is the feature data set obtained after dimension reduction of the first feature data set.

7. The method of claim 6, wherein the method further comprises:

performing traversal loss analysis on the first dimension reduction data set and the first characteristic data set to generate a first loss data set;

and inputting the first loss data set and the first dimensionality reduction data set into a data management model for training and updating to generate an actual paint viscosity information set.

8. A paint dip process monitoring system for a motor winding, wherein the system comprises:

a first obtaining unit: the first obtaining unit is used for obtaining a first integral wiring diagram of the first motor winding;

a first determination unit: the first determining unit is used for determining the number of coils and the number of winding layers according to the first overall wiring diagram;

a first building unit: the first construction unit is used for constructing a motor winding paint dipping process matching model;

a second obtaining unit: the second obtaining unit is used for inputting the number of coils and the number of winding layers into the motor winding paint dipping process matching model for parameter training to obtain a preset matching process, the preset matching process comprises preset paint viscosity and preset paint dipping time, and the preset matching process has periodic difference;

a third obtaining unit: the third obtaining unit is used for carrying out paint dipping process on the first motor winding according to the preset paint viscosity and the preset paint dipping time, carrying out whole-process image acquisition on the paint dipping process based on a camera device, and obtaining first paint dipping image information;

a first judgment unit: the first judging unit is used for judging whether a surface paint film and an internal paint dipping state of the first motor winding meet a preset paint dipping state or not according to the first paint dipping image information;

a first execution unit: and the first execution unit is used for adjusting the preset matching process if the surface paint film and the internal paint dipping of the first motor winding do not meet the preset paint dipping state, and uploading the adjusted parameters to the motor winding paint dipping process matching model.

9. A paint dipping process monitoring system for a motor winding, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of the method of any one of claims 1 to 7.

Technical Field

The application relates to the field of artificial intelligence, in particular to a paint dipping process monitoring method and system for a motor winding.

Background

A winding is a group of turns that constitutes an electrical line corresponding to a certain voltage value noted by the transformer. The winding is the weakest part in the structure of the motor, and in order to improve the moisture resistance, corrosion resistance and insulation strength of the winding, and improve the mechanical strength, thermal conductivity, heat dissipation effect and the like of the winding, the motor winding needs to be subjected to a varnish treatment. However, in order to achieve a good paint dipping effect and ensure the paint dipping quality of the windings, a paint dipping process must be established in a targeted manner according to the overall wiring condition of each motor winding, and the paint dipping quality of the windings should be monitored at any time during paint dipping treatment. The reasonable dip coating scheme of manpower formulation is inefficient, and the deviation appears easily and finally leads to the winding dip coating effect not good, and in addition, the monitoring is soaked the extravagant a large amount of manpower and materials of the actual state of in-process winding, increases the cost of enterprises, consequently utilizes the modernization level that computer technology improved motor winding dip coating process flow to have important realistic meaning.

In the process of implementing the technical solution in the embodiment of the present application, the inventor of the present application finds that the above-mentioned technology has at least the following technical problems:

the prior art has the technical problems that a corresponding paint dipping scheme cannot be rapidly formulated according to the actual conditions of each motor winding, and the paint dipping effect of the winding cannot be efficiently detected.

Disclosure of Invention

The application aims to provide a method and a system for monitoring a paint dipping process of a motor winding, which are used for solving the technical problems that in the prior art, corresponding paint dipping schemes cannot be rapidly formulated according to the actual conditions of the motor windings, and the paint dipping effect of the windings cannot be efficiently detected.

In view of the above problems, the embodiments of the present application provide a method and a system for monitoring a paint dipping process of a motor winding.

In a first aspect, the present application provides a method for monitoring a paint dipping process of a motor winding, the method being implemented by a system for monitoring a paint dipping process of a motor winding, wherein the method comprises: determining the number of coils and the number of winding layers by obtaining a first integral wiring diagram of a first motor winding; constructing a motor winding paint dipping process matching model; inputting the number of coils and the number of winding layers into a motor winding paint dipping process matching model for parameter training to obtain a preset matching process; performing a paint dipping process on the first motor winding, and acquiring first paint dipping image information based on a camera device; judging whether the surface paint film and the internal paint dipping of the first motor winding meet a preset paint dipping state or not; and if the preset paint dipping state is not met, adjusting the preset matching process, and uploading the adjusted parameters to a motor winding paint dipping process matching model.

In another aspect, the present application further provides a system for monitoring a paint dipping process of a motor winding, which is used for executing the method for monitoring the paint dipping process of the motor winding according to the first aspect, wherein the system includes: a first obtaining unit: the first obtaining unit is used for obtaining a first integral wiring diagram of the first motor winding; a first determination unit: the first determining unit is used for determining the number of coils and the number of winding layers according to the first overall wiring diagram; a first building unit: the first construction unit is used for constructing a motor winding paint dipping process matching model; a second obtaining unit: the second obtaining unit is used for inputting the number of coils and the number of winding layers into the motor winding paint dipping process matching model for parameter training to obtain a preset matching process, the preset matching process comprises preset paint viscosity and preset paint dipping time, and the preset matching process has periodic difference; a third obtaining unit: the third obtaining unit is used for carrying out paint dipping process on the first motor winding according to the preset paint viscosity and the preset paint dipping time, carrying out whole-process image acquisition on the paint dipping process based on a camera device, and obtaining first paint dipping image information; a first judgment unit: the first judging unit is used for judging whether a surface paint film and an internal paint dipping state of the first motor winding meet a preset paint dipping state or not according to the first paint dipping image information; a first execution unit: and the first execution unit is used for adjusting the preset matching process if the surface paint film and the internal paint dipping of the first motor winding do not meet the preset paint dipping state, and uploading the adjusted parameters to the motor winding paint dipping process matching model.

In a third aspect, an embodiment of the present application further provides a system for monitoring a paint dipping process of a motor winding, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the method according to the first aspect when executing the program.

One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

1. determining the number of coils and the number of winding layers by obtaining a first integral wiring diagram of a first motor winding; constructing a motor winding paint dipping process matching model; inputting the number of coils and the number of winding layers into a motor winding paint dipping process matching model for parameter training to obtain a preset matching process; performing a paint dipping process on the first motor winding, and acquiring first paint dipping image information based on a camera device; judging whether the surface paint film and the internal paint dipping of the first motor winding meet a preset paint dipping state or not; and if the preset paint dipping state is not met, adjusting the preset matching process, and uploading the adjusted parameters to a motor winding paint dipping process matching model. The technical aim of rapidly formulating the paint dipping scheme suitable for the actual wiring and wiring conditions of each motor winding is achieved by utilizing the computer technology, and the intelligent monitoring of the paint dipping effect of the winding is further achieved, so that the technical effect of improving the modernization level of the paint dipping process of the motor winding is achieved.

2. Under the condition that the conditions such as paint viscosity, paint dipping time and the like of the paint dipping process meet the preset paint dipping process, the paint dipping process monitoring system intelligently acquires temperature information of the winding during paint dipping, so that whether the final paint dipping effect is influenced by the paint dipping temperature or not is determined, the paint dipping temperature is adaptively adjusted, and finally, the technical effect of automatically monitoring and adjusting various process data in the paint dipping process is achieved, and the paint dipping quality is guaranteed.

The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only exemplary, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.

Fig. 1 is a schematic flow chart of a method for monitoring a paint dipping process of a motor winding according to an embodiment of the present application;

fig. 2 is a schematic flow chart illustrating adjustment of the actual paint viscosity and the actual paint dipping time in the first half-cycle paint dipping process requirement if the actual paint viscosity and the actual paint dipping time do not respectively satisfy the first half-cycle paint dipping process requirement in the periodic difference in the paint dipping process monitoring method for a motor winding according to the embodiment of the present application;

fig. 3 is a schematic flow chart illustrating adjustment of dip coating temperature information inside a winding if the maximum temperature difference information does not fluctuate within the predetermined temperature difference threshold in the dip coating process monitoring method for a motor winding according to the embodiment of the present application;

fig. 4 is a schematic flow chart illustrating that a first end instruction is obtained according to the predetermined surface image information in the method for monitoring the paint dipping process of the motor winding to finish the secondary paint dipping of the first motor winding according to the embodiment of the application;

FIG. 5 is a schematic structural diagram of a paint dipping process monitoring system for a motor winding according to an embodiment of the present disclosure;

fig. 6 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.

Description of reference numerals:

a first obtaining unit 11, a first determining unit 12, a first constructing unit 13, a second obtaining unit 14, a third obtaining unit 15, a first judging unit 16, a first executing unit 17, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 305.

Detailed Description

The embodiment of the application provides a method and a system for monitoring the paint dipping process of the motor winding, and solves the technical problems that in the prior art, a corresponding paint dipping scheme cannot be rapidly formulated according to the actual situation of each motor winding, and the paint dipping effect of the winding cannot be efficiently detected. The technical aim of rapidly formulating the paint dipping scheme suitable for the actual wiring and wiring conditions of each motor winding is achieved by utilizing the computer technology, and the intelligent monitoring of the paint dipping effect of the winding is further achieved, so that the technical effect of improving the modernization level of the paint dipping process of the motor winding is achieved.

In the following, the technical solutions in the embodiments of the present application will be clearly and completely described with reference to the accompanying drawings, and it is to be understood that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments of the present application, and it should be understood that the present application is not limited by the example embodiments described herein. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application. It should be further noted that, for the convenience of description, only some but not all of the elements relevant to the present application are shown in the drawings.

A winding is a group of turns that constitutes an electrical line corresponding to a certain voltage value noted by the transformer. The winding is the weakest part in the structure of the motor, and in order to improve the moisture resistance, corrosion resistance and insulation strength of the winding, and improve the mechanical strength, thermal conductivity, heat dissipation effect and the like of the winding, the motor winding needs to be subjected to a varnish treatment. However, in order to achieve a good paint dipping effect and ensure the paint dipping quality of the windings, a paint dipping process must be established in a targeted manner according to the overall wiring condition of each motor winding, and the paint dipping quality of the windings should be monitored at any time during paint dipping treatment. The reasonable dip coating scheme of manpower formulation is inefficient, and the deviation appears easily and finally leads to the winding dip coating effect not good, and in addition, the monitoring is soaked the extravagant a large amount of manpower and materials of the actual state of in-process winding, increases the cost of enterprises, consequently utilizes the modernization level that computer technology improved motor winding dip coating process flow to have important realistic meaning.

The prior art has the technical problems that a corresponding paint dipping scheme cannot be rapidly formulated according to the actual conditions of each motor winding, and the paint dipping effect of the winding cannot be efficiently detected.

In view of the above technical problems, the technical solution provided by the present application has the following general idea:

the application provides a paint dipping process monitoring method for a motor winding, which is applied to a paint dipping process monitoring system for the motor winding, wherein the method comprises the following steps: obtaining a first integral wiring diagram of the first motor winding; determining the number of coils and the number of winding layers according to the first integral wiring diagram; constructing a motor winding paint dipping process matching model; inputting the number of coils and the number of winding layers into a motor winding paint dipping process matching model for parameter training to obtain a preset matching process, wherein the preset matching process comprises preset paint viscosity and preset paint dipping time, and the preset matching process has periodic difference; performing a paint dipping process on the first motor winding according to the preset paint viscosity and the preset paint dipping time, and performing whole-process image acquisition on the paint dipping process based on a camera device to obtain first paint dipping image information; judging whether the surface paint film and the internal paint dipping of the first motor winding meet a preset paint dipping state or not according to the first paint dipping image information; and if the surface paint film and the internal paint dipping of the first motor winding do not meet the preset paint dipping state, adjusting the preset matching process, and uploading the adjusted parameters to the motor winding paint dipping process matching model.

Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.

Example one

Referring to fig. 1, an embodiment of the present application provides a method for monitoring a paint dipping process of a motor winding, where the method is applied to a system for monitoring a paint dipping process of a motor winding, and the method specifically includes the following steps:

step S100: obtaining a first integral wiring diagram of a first motor winding;

particularly, the paint dipping process monitoring method for the motor winding is applied to the paint dipping process monitoring system for the motor winding, the technical aim of quickly formulating the paint dipping scheme suitable for the actual wiring condition of each motor winding is achieved by utilizing the computer technology, the intelligent monitoring of the paint dipping effect of the winding is further achieved, and the technical effect of improving the modernization level of the paint dipping process of the motor winding is achieved. The winding is a group of turns constituting an electrical line corresponding to a certain voltage value indicated by the transformer.

The winding is the weakest part in the structure of the motor, and in order to improve the moisture resistance, the corrosion resistance and the insulation strength of the winding and improve the mechanical strength, the heat conductivity, the heat dissipation effect and other properties of the winding, the motor winding needs to be subjected to paint dipping treatment. The first motor winding refers to any motor winding which is prepared by using the paint dipping process monitoring system to perform a winding paint dipping process. The first integral wiring diagram refers to integral wiring and wiring conditions corresponding to the first motor winding. The intelligent camera is used for collecting images of the motor winding to be subjected to paint dipping at different angles and different distances, so that the image of the first motor winding can be obtained, namely the first integral wiring diagram. The technical effect of determining the basic information such as the actual wiring and wiring conditions of the winding to be varnished is achieved.

Step S200: determining the number of coils and the number of winding layers according to the first integral wiring diagram;

specifically, based on the image information of the first motor winding acquired by the camera, that is, the first overall wiring diagram, the number of coils actually corresponding to the first motor winding and the number of layers of windings can be determined by further analyzing the image information. The technical effects of determining the specific winding condition of the winding to be subjected to the paint dipping treatment and the total number of the winding coils are achieved.

Step S300: constructing a motor winding paint dipping process matching model;

step S400: inputting the number of coils and the number of winding layers into a motor winding paint dipping process matching model for parameter training to obtain a preset matching process, wherein the preset matching process comprises preset paint viscosity and preset paint dipping time, and the preset matching process has periodic difference;

specifically, the motor winding paint dipping process matching model is a mathematical model capable of intelligently making a proper paint dipping process scheme according to parameter information such as specific winding conditions and winding coil quantity of a winding to be painted. And inputting the specific number of coils and the number of winding layers of the winding to be varnished, which are obtained after analyzing the overall wiring diagram of the first motor winding, into the motor winding varnish dipping process matching model for parameter training, and obtaining a corresponding varnish dipping scheme through matching, namely the preset matching process. The preset matching process comprises the steps of presetting paint viscosity, presetting paint dipping time, presetting paint dipping temperature and the like. In addition, because the winding generally has a plurality of layers of winding wires, the actual paint dipping operation cannot carry out complete paint dipping treatment on all winding layers at the same time, so that the paint dipping treatment is mainly carried out on the inner part of the motor winding, namely the inner winding layer, in the first paint dipping treatment corresponding to the half period before the paint dipping; in the second paint dipping treatment corresponding to the later half period of the paint dipping, paint dipping is mainly carried out on the outer part of the motor winding, namely the outer winding layer. And directly forming the periodic difference of the paint dipping process, namely the periodic difference of the preset matching process, based on the actual difference of the front and the rear half periods in the actual paint dipping treatment of the winding.

Through the matching model of the motor winding paint dipping process, the specific data based on the number of the actual winding layers and the number of the coils of the winding are realized, the appropriate paint dipping scheme is intelligently matched, and the theoretical guidance is pertinently carried out on the actual paint dipping operation, so that the paint dipping effect and the paint dipping quality of the winding are improved, and the comprehensive performance and the service life of the motor winding are further ensured.

Step S500: performing a paint dipping process on the first motor winding according to the preset paint viscosity and the preset paint dipping time, and performing whole-process image acquisition on the paint dipping process based on a camera device to obtain first paint dipping image information;

specifically, paint dipping treatment is carried out on the first motor winding according to preset paint dipping process parameters such as preset paint viscosity, preset paint dipping time and the like in a preset matching process intelligently generated by the motor winding paint dipping process matching model, meanwhile, real-time image acquisition is carried out on the winding paint dipping overall process based on an intelligent camera device, and all acquired images of the winding paint dipping process are the first paint dipping image information. The intelligent monitoring winding actual paint dipping overall process based on the camera is achieved, the cost of manpower monitoring is reduced, and meanwhile the technical effect of monitoring effect is improved.

Step S600: judging whether the surface paint film and the internal paint dipping of the first motor winding meet a preset paint dipping state or not according to the first paint dipping image information;

step S700: and if the surface paint film and the internal paint dipping of the first motor winding do not meet the preset paint dipping state, adjusting the preset matching process, and uploading the adjusted parameters to the motor winding paint dipping process matching model.

Specifically, based on the first paint dipping image information acquired by the camera in real time, all paint dipping images are analyzed and processed by using a computer image analysis technology, whether a paint film formed on the surface of a winding after the paint dipping processing of the first motor winding and the paint dipping effect between coils inside the winding meet the preset paint dipping state of a paint dipping process monitoring system is judged, if the surface paint film or the inside paint dipping state or both of the surface paint film and the inside paint dipping state after the paint dipping processing of the first motor winding do not meet the preset paint dipping state, the paint dipping process monitoring system immediately adjusts the preset matching process correspondingly so as to ensure that the subsequent paint dipping effect of the winding reaches an ideal state, and meanwhile, the paint dipping process monitoring system automatically uploads the adjusted parameters to the motor winding paint dipping process matching model for model correction.

The technical aim of rapidly formulating the paint dipping scheme suitable for the actual wiring and wiring conditions of each motor winding is achieved through a computer technology, and the intelligent monitoring of the paint dipping effect of the windings is further achieved, so that the technical effect of improving the modernization level of the paint dipping process of the motor windings is achieved.

Further, as shown in fig. 2, step S400 in the embodiment of the present application further includes:

step S410: carrying out periodic splitting on the preset matching process to obtain a primary paint dipping process and a secondary paint dipping process;

step S420: acquiring primary paint dipping image information according to the primary paint dipping process and the first paint dipping image information;

step S430: judging whether the dip coating inside the winding of the first motor winding is soaked or not according to the primary dip coating image information;

step S440: if the dip coating in the winding of the first motor winding is not soaked, obtaining the actual paint viscosity and the actual dip coating time of the primary dip coating process;

step S450: judging whether the actual paint viscosity and the actual paint dipping time respectively meet the paint dipping process requirement of the first half period in the periodic difference;

step S460: and if the actual paint viscosity and the actual paint dipping time do not respectively meet the paint dipping process requirement of the first half period in the periodic difference, adjusting the actual paint viscosity and the actual paint dipping time in the paint dipping process requirement of the first half period.

Specifically, splitting a preset matching process generated intelligently by the motor winding paint dipping process matching model according to a paint dipping period. The first paint dipping image information is analyzed, and whether the corresponding paint dipping inside the winding of the first motor winding is soaked or not can be judged after the first paint dipping process is processed. And when the judgment result shows that the dip coating in the winding of the first motor winding is not soaked, the dip coating process monitoring system automatically processes the obtained primary dip coating process of the first motor winding, and judges whether the actual viscosity of the paint and the actual dip coating time respectively meet the requirements of the viscosity of the dip coating paint and the time in the primary dip coating process corresponding to the previous half period. And when the judgment result shows that the actual paint viscosity and the actual paint dipping time do not meet the paint dipping paint viscosity and time requirement in the paint dipping process requirement of the first half period, adjusting the actual paint viscosity and the paint dipping time in the paint dipping process requirement of the first half period. The method achieves the technical effects of intelligently monitoring the actual paint dipping viscosity and the paint dipping time of the motor winding, and automatically judging and adjusting the process when the actual paint dipping process does not meet the preset process, thereby ensuring that the actual paint dipping process meets the preset process requirements and finally enabling the winding to achieve the ideal paint dipping state.

Further, as shown in fig. 3, step S450 of the embodiment of the present application further includes:

step S451: if the actual paint viscosity and the actual paint dipping time respectively meet the paint dipping process requirement of the first half period in the periodic difference, obtaining the paint dipping temperature information inside the winding of the first motor winding;

step S452: based on a temperature sensor, obtaining initial process temperature information and finishing process temperature information of the primary paint dipping process;

step S453: obtaining maximum temperature difference information based on the initial process temperature information and the finishing process temperature information;

step S454: judging whether the maximum temperature difference information fluctuates within a preset temperature difference threshold value;

step S455: and if the maximum temperature difference information does not fluctuate within the preset temperature difference threshold value, adjusting the paint dipping temperature information inside the winding.

Specifically, the actual paint dipping effect is influenced by factors such as paint dipping paint viscosity, paint dipping time and the like, and is also influenced by paint temperature to a certain extent, so if the paint dipping process monitoring system automatically judges that the paint viscosity and the paint dipping time in the paint dipping process inside the winding of the first motor winding all accord with the preset paint dipping process, the system automatically collects and judges other factors influencing the paint dipping process. The paint dipping process monitoring system firstly automatically acquires paint dipping temperature information in the winding of the first motor winding, monitors the temperature of paint in the paint dipping treatment process in real time based on a temperature sensor, and finally obtains initial process temperature information and finishing process temperature information of the primary paint dipping process. And the system automatically calculates to obtain the maximum temperature difference information of the initial process temperature information and the finishing process temperature information, and further judges whether the maximum temperature difference information fluctuates within a preset temperature difference threshold value. And if the maximum temperature difference information does not fluctuate within the preset temperature difference threshold value, adaptively adjusting the actual temperature of the winding during paint dipping. The preset temperature difference threshold value is an immersion paint temperature range which is obtained by the immersion paint process monitoring system based on big data comprehensive analysis and does not have adverse effect on the winding immersion paint effect. Practice proves that the temperature is generally most suitable for paint dipping at 60-80 ℃.

Under the condition that the conditions such as paint viscosity, paint dipping time and the like of the paint dipping process meet the preset paint dipping process, the paint dipping process monitoring system intelligently acquires temperature information of the winding during paint dipping, so that whether the final paint dipping effect is influenced by the paint dipping temperature or not is determined, the paint dipping temperature is adaptively adjusted, and finally, the technical effect of automatically monitoring and adjusting various process data in the paint dipping process is achieved, and the paint dipping quality is guaranteed.

Further, step S455 in this embodiment of the present application further includes:

step S4551: acquiring a paint viscosity information set corresponding to the paint dipping temperature information set in each winding within the preset temperature difference threshold value based on big data;

step S4552: performing preset regular arrangement distribution processing on the paint viscosity information set to obtain a preset paint viscosity gradient;

step S4553: sequentially matching temperature information sets corresponding to the gradient viscosities to generate a first mapping gradient set based on the preset paint viscosity gradient, wherein the gradient viscosities correspond to the temperature information one by one;

step S4554: obtaining each influence parameter set of each gradient viscosity caused by each temperature information in each mapping gradient according to the first mapping gradient set;

step S4555: inputting the maximum temperature difference information into each influence parameter set to obtain corresponding influence parameters;

step S4556: and adjusting the paint dipping temperature information in the winding according to the influence parameters.

Specifically, the paint dipping process monitoring system automatically acquires the actual paint dipping temperature inside each winding within the preset temperature difference threshold value and the paint viscosity data corresponding to each temperature based on big data, and the paint viscosity information set is formed by all the paint actual viscosity data. And further processing the paint viscosity information set according to the gradient descending of the viscosity from high to low to obtain the preset paint viscosity gradient. And sequentially matching temperature information sets corresponding to the gradient viscosities based on the preset paint viscosity gradient to generate the first mapping gradient set. And in the first mapping gradient set, each gradient viscosity corresponds to each temperature information one by one.

Further, according to the first mapping gradient set, obtaining influence degree data of each temperature information on each corresponding gradient viscosity in each mapping gradient, wherein all the influence degree data form each influence parameter set. And finally, inputting the maximum temperature difference information into each influence parameter set, automatically matching the influence parameter sets by the system to obtain the influence parameter corresponding to the maximum temperature difference information, and adaptively adjusting the dip coating temperature information in the winding according to the obtained influence parameter.

Based on the influence of the paint temperature on the paint viscosity, a mapping of different paint temperatures to the corresponding paint viscosity is established, and when the paint temperature difference does not accord with a preset temperature difference threshold, the system automatically matches the influence paint viscosity degree data corresponding to the current temperature difference, so that the paint temperature is adaptively adjusted based on the influence degree data, and the paint dipping effect of the motor winding is finally ensured.

Further, as shown in fig. 4, step S430 in this embodiment of the present application further includes:

step S431: if the interior of the winding of the first motor winding is completely soaked in the dip coating, obtaining secondary dip coating image information according to the first dip coating image;

step S432: acquiring winding surface image information of the first motor winding according to the secondary dip coating image information;

step S433: judging whether the surface of the winding is formed into a film within a preset time and is kept stable according to the image information of the surface of the winding;

step S434: if the winding surface is filmed within the preset time but is not kept stable, monitoring dip coating bubble information in the winding surface image information in real time until preset surface image information is obtained, wherein the preset surface image information comprises disappearance of bubbles on the winding surface;

step S435: and according to the preset surface image information, obtaining a first end instruction, and ending the secondary paint dipping of the first motor winding.

Specifically, the paint dipping effect inside the winding of the first motor winding is judged according to the primary paint dipping image information collected by the camera. And if the judgment result shows that the dip coating inside the winding of the first motor winding is completely soaked, further acquiring secondary dip coating image information in the first dip coating image. And analyzing the actual condition of the winding surface in the secondary dip coating image information, and intelligently judging whether the winding surface is formed into a film within a preset time and is kept stable. And if the winding surface is formed into a film within the preset time, but the paint film is not kept stable, the paint dipping process monitoring system automatically monitors paint dipping bubble information in the winding surface image information in real time until the winding surface bubbles disappear to form the preset surface image information. After the primary paint dipping meets the preset requirement, the secondary paint dipping effect is automatically analyzed and judged intelligently, the winding surface film forming condition after the secondary paint dipping is monitored in real time, and the technical effect of intelligently monitoring the paint dipping effect is achieved.

Further, step S4551 in the embodiment of the present application further includes:

step S45511: obtaining a first set of characterizing data from the set of paint viscosity information;

step S45512: performing centralized processing on the first characteristic data set to obtain a second characteristic data set;

step S45513: obtaining a first covariance matrix of the second feature data set;

step S45514: calculating the first covariance matrix to obtain a first eigenvalue and a first eigenvector of the first covariance matrix;

step S45515: and projecting the first characteristic data set to the first characteristic vector to obtain a first dimension reduction data set, wherein the first dimension reduction data set is the characteristic data set obtained after dimension reduction of the first characteristic data set.

Specifically, a first set of characteristic data is obtained from the set of paint viscosity information. Wherein the first set of characteristic data refers to all paint viscosity characteristic data sets in the set of paint viscosity information. And carrying out centralized processing on the first characteristic data set to obtain a second characteristic data set. Wherein, the centralization processing means that each item of data in the data set is subtracted by the mean value of the data set. For example, if there is a data set 1, 2, 3, 6, 3 with a mean of 3, then the data set after centering is 1-3, 2-3, 3-3, 6-3, 3-3, i.e.: -2, -1, 0, 3, 0, the data centralization process is to eliminate the influence of dimension on the data structure, because the unit is different between different variables, which causes bias of various statistics.

And further calculating to obtain the second characteristic data set covariance, wherein the covariance is used for measuring the total error of the two variables to form a corresponding first covariance matrix. And further obtaining an eigenvalue and an eigenvector corresponding to the first covariance matrix. And finally, projecting the corresponding characteristic value data set to the corresponding characteristic vector to obtain a corresponding first dimension reduction data set. Wherein the first dimension reduction dataset is a feature dataset obtained after dimension reduction of the first feature dataset. Through multiple rounds of data processing and calculation, the redundant processing of the paint viscosity information data is completed, so that the retained paint viscosity data has more universal applicability, and the complexity of subsequent data analysis is reduced.

Further, step S4551 in the embodiment of the present application further includes:

step S45516: performing traversal loss analysis on the first dimension reduction data set and the first characteristic data set to generate a first loss data set;

step S45517: and inputting the first loss data set and the first dimensionality reduction data set into a data management model for training and updating to generate an actual paint viscosity information set.

Specifically, the characteristic data set obtained after the dimension reduction of the first characteristic data set and the first characteristic data set are subjected to traversal loss analysis to generate loss data after the dimension reduction of the first characteristic data set, that is, the first loss data set, and the first loss data set and the first dimension reduction data set are further input into a data management model to be trained and updated to generate an actual paint viscosity information set. The data management model is used for managing all preset, actually measured and operation-related dip coating process data. The technical effect of acquiring accurate paint viscosity data in the paint dipping treatment in real time is achieved.

To sum up, the paint dipping process monitoring method for the motor winding provided by the embodiment of the application has the following technical effects:

1. determining the number of coils and the number of winding layers by obtaining a first integral wiring diagram of a first motor winding; constructing a motor winding paint dipping process matching model; inputting the number of coils and the number of winding layers into a motor winding paint dipping process matching model for parameter training to obtain a preset matching process; performing a paint dipping process on the first motor winding, and acquiring first paint dipping image information based on a camera device; judging whether the surface paint film and the internal paint dipping of the first motor winding meet a preset paint dipping state or not; and if the preset paint dipping state is not met, adjusting the preset matching process, and uploading the adjusted parameters to a motor winding paint dipping process matching model. The technical aim of rapidly formulating the paint dipping scheme suitable for the actual wiring and wiring conditions of each motor winding is achieved by utilizing the computer technology, and the intelligent monitoring of the paint dipping effect of the winding is further achieved, so that the technical effect of improving the modernization level of the paint dipping process of the motor winding is achieved.

2. Under the condition that the conditions such as paint viscosity, paint dipping time and the like of the paint dipping process meet the preset paint dipping process, the paint dipping process monitoring system intelligently acquires temperature information of the winding during paint dipping, so that whether the final paint dipping effect is influenced by the paint dipping temperature or not is determined, the paint dipping temperature is adaptively adjusted, and finally, the technical effect of automatically monitoring and adjusting various process data in the paint dipping process is achieved, and the paint dipping quality is guaranteed.

Example two

Based on the method for monitoring the paint dipping process of the motor winding in the previous embodiment, the invention also provides a system for monitoring the paint dipping process of the motor winding, referring to fig. 5, wherein the system comprises:

the first obtaining unit 11: the first obtaining unit 11 is used for obtaining a first overall wiring diagram of a first motor winding;

the first determination unit 12: the first determining unit 12 is configured to determine the number of coils and the number of winding layers according to the first overall wiring diagram;

the first building element 13: the first construction unit 13 is used for constructing a motor winding paint dipping process matching model;

the second obtaining unit 14: the second obtaining unit 14 is configured to input the number of coils and the number of winding layers into the matching model of the motor winding paint dipping process for parameter training, so as to obtain a preset matching process, where the preset matching process includes a preset paint viscosity and a preset paint dipping time, and the preset matching process has a periodic difference;

the third obtaining unit 15: the third obtaining unit 15 is configured to perform a paint dipping process on the first motor winding according to the preset paint viscosity and the preset paint dipping time, and perform full-process image acquisition on the paint dipping process based on a camera device to obtain first paint dipping image information;

the first judgment unit 16: the first judging unit 16 is configured to judge whether a surface paint film and an internal paint dipping of the first motor winding meet a preset paint dipping state according to the first paint dipping image information;

the first execution unit 17: the first execution unit 17 is configured to adjust the preset matching process if the surface paint film and the internal paint dipping of the first motor winding do not satisfy the preset paint dipping state, and upload the adjusted parameters to the motor winding paint dipping process matching model.

Further, the system further comprises:

a fourth obtaining unit, configured to perform periodic splitting on the preset matching process to obtain a primary paint dipping process and a secondary paint dipping process;

a fifth obtaining unit, configured to obtain primary paint dipping image information according to the primary paint dipping process and the first paint dipping image information;

the second judging unit is used for judging whether paint dipping inside the winding of the first motor winding is soaked or not according to the primary paint dipping image information;

a sixth obtaining unit, configured to obtain an actual paint viscosity and an actual paint dipping time of the primary paint dipping process if the paint dipping inside the winding of the first motor winding is not saturated;

a third judging unit, configured to judge whether the actual paint viscosity and the actual paint dipping time respectively satisfy the paint dipping process requirement of the previous half period in the periodic difference;

a second execution unit, configured to adjust the actual paint viscosity and the actual paint dipping time in the first half-cycle paint dipping process requirement if the actual paint viscosity and the actual paint dipping time do not meet the first half-cycle paint dipping process requirement in the periodic difference, respectively.

Further, the system further comprises:

a seventh obtaining unit, configured to obtain winding internal dip coating temperature information of the first motor winding if the actual paint viscosity and the actual dip coating time both meet the dip coating process requirement of the previous half-cycle in the periodic difference;

an eighth obtaining unit, configured to obtain initial process temperature information and end process temperature information of the primary paint dipping process based on a temperature sensor;

a ninth obtaining unit for obtaining maximum temperature difference information based on the initial process temperature information and the finishing process temperature information;

the fourth judging unit is used for judging whether the maximum temperature difference information fluctuates within a preset temperature difference threshold value or not;

and the third execution unit is used for adjusting the paint dipping temperature information in the winding if the maximum temperature difference information does not fluctuate within the preset temperature difference threshold value.

Further, the system further comprises:

the first acquisition unit is used for acquiring a paint viscosity information set corresponding to the paint dipping temperature information set in each winding within the preset temperature difference threshold value based on big data;

a tenth obtaining unit, configured to perform predetermined regular arrangement distribution processing on the paint viscosity information set to obtain a preset paint viscosity gradient;

the first generating unit is used for sequentially matching temperature information sets corresponding to the gradient viscosities to generate a first mapping gradient set based on the preset paint viscosity gradient, wherein the gradient viscosities correspond to the temperature information one by one;

an eleventh obtaining unit, configured to obtain, according to the first mapping gradient set, each set of influence parameters of each temperature information on each gradient viscosity in each mapping gradient;

a twelfth obtaining unit, configured to input the maximum temperature difference information into each influence parameter set, and obtain corresponding influence parameters;

and the fourth execution unit is used for adjusting the paint dipping temperature information in the winding according to the influence parameters.

Further, the system further comprises:

a thirteenth obtaining unit, configured to, if the dip coating inside the winding of the first motor winding is completely saturated, obtain secondary dip coating image information according to the first dip coating image;

a fourteenth obtaining unit, configured to obtain winding surface image information of the first motor winding according to the secondary paint dipping image information;

a fifth judging unit, configured to judge whether the winding surface is formed and kept stable within a predetermined time according to the winding surface image information;

the first monitoring unit is used for monitoring dip coating bubble information in the winding surface image information in real time until preset surface image information is obtained if the winding surface is formed into a film within the preset time but is not kept stable, wherein the preset surface image information comprises disappearance of bubbles on the winding surface;

a fifteenth obtaining unit, configured to obtain a first end instruction according to the predetermined surface image information, and end the secondary paint dipping of the first motor winding.

Further, the system further comprises:

a sixteenth obtaining unit for obtaining a first set of characteristic data from the set of paint viscosity information;

a seventeenth obtaining unit, configured to perform centering processing on the first feature data set to obtain a second feature data set;

an eighteenth obtaining unit, configured to obtain a first covariance matrix of the second feature data set;

a nineteenth obtaining unit, configured to perform operation on the first covariance matrix to obtain a first eigenvalue and a first eigenvector of the first covariance matrix;

a twentieth obtaining unit, configured to project the first feature data set to the first feature vector to obtain a first dimension-reduced data set, where the first dimension-reduced data set is a feature data set obtained after dimension reduction of the first feature data set.

Further, the system further comprises:

a second generating unit, configured to perform traversal loss analysis on the first dimension reduction data set and the first feature data set, and generate a first loss data set;

a third generating unit, configured to input the first loss data set and the first dimension reduction data set into a data management model for training and updating, so as to generate a set of actual paint viscosity information.

In the present description, each embodiment is described in a progressive manner, and the emphasis of each embodiment is on the difference from other embodiments, the aforementioned immersion painting process monitoring method for a motor winding in the first embodiment of fig. 1 and the specific example are also applicable to the immersion painting process monitoring system for a motor winding in the present embodiment, and through the foregoing detailed description of the immersion painting process monitoring method for a motor winding, a person skilled in the art can clearly know the immersion painting process monitoring system for a motor winding in the present embodiment, so for the brevity of the description, detailed description is not repeated here. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.

The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

The electronic apparatus of the embodiment of the present application is described below with reference to fig. 6.

Fig. 6 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.

Based on the inventive concept of the paint dipping process monitoring method for the motor winding in the foregoing embodiment, the invention further provides a paint dipping process monitoring system for the motor winding, which has a computer program stored thereon, and when the program is executed by a processor, the steps of any one of the aforementioned paint dipping process monitoring methods for the motor winding are realized.

Where in fig. 6 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 305 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other apparatus over a transmission medium.

The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.

The application provides a paint dipping process monitoring method for a motor winding, which is applied to a paint dipping process monitoring system for the motor winding, wherein the method comprises the following steps: determining the number of coils and the number of winding layers by obtaining a first integral wiring diagram of a first motor winding; constructing a motor winding paint dipping process matching model; inputting the number of coils and the number of winding layers into a motor winding paint dipping process matching model for parameter training to obtain a preset matching process; performing a paint dipping process on the first motor winding, and acquiring first paint dipping image information based on a camera device; judging whether the surface paint film and the internal paint dipping of the first motor winding meet a preset paint dipping state or not; and if the preset paint dipping state is not met, adjusting the preset matching process, and uploading the adjusted parameters to a motor winding paint dipping process matching model. The technical problems that in the prior art, a corresponding paint dipping scheme cannot be rapidly formulated according to the actual conditions of each motor winding, and the paint dipping effect of the winding cannot be efficiently detected are solved. The technical aim of rapidly formulating the paint dipping scheme suitable for the actual wiring and wiring conditions of each motor winding is achieved by utilizing the computer technology, and the intelligent monitoring of the paint dipping effect of the winding is further achieved, so that the technical effect of improving the modernization level of the paint dipping process of the motor winding is achieved.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, the present application may take the form of an entirely software embodiment, an entirely hardware embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application is in the form of a computer program product that may be embodied on one or more computer-usable storage media having computer-usable program code embodied therewith. And such computer-usable storage media include, but are not limited to: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk Memory, a Compact Disc Read-Only Memory (CD-ROM), and an optical Memory.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.