CN-119312038-B - Hydraulic equipment assembly regulation and control method and system based on image processing

CN119312038BCN 119312038 BCN119312038 BCN 119312038BCN-119312038-B

Abstract

The application provides a hydraulic equipment assembly regulation and control method and a system based on image processing, which relate to the technical field of image processing, and the method comprises the following steps: and performing multidimensional domain feature analysis on the historical assembly vibration signals, predicting a minimum vibration time point by an intelligent prediction model, acquiring a first historical acquisition image, introducing an image quality evaluation function to obtain a first image quality index, setting light rays, and performing assembly regulation and control of a first assembly link. According to the application, the technical problems of low assembly alignment precision caused by low quality of the collected real-time assembly image when the assembly regulation and control of the hydraulic equipment is carried out based on the real-time assembly image in the prior art can be solved, the optimal image collection time is determined by analyzing the vibration signal during the assembly of the hydraulic equipment, and meanwhile, the light setting during the image collection is analyzed and optimized, so that the high-quality real-time assembly image is collected and obtained, the accurate regulation and control of the assembly alignment of the high-precision hydraulic equipment is finally realized, and the technical effect of improving the assembly quality of the hydraulic equipment is achieved.

Inventors

Zang Duntao
Zang Demu
YU GANG

Assignees

泰安利丰源机械有限公司

Dates

Publication Date: 20260508
Application Date: 20240821

Claims (7)

1. An image processing-based hydraulic equipment assembly regulation and control method is characterized by comprising the following steps: Acquiring a historical assembly vibration signal, wherein the historical assembly vibration signal refers to a vibration signal of a first assembly link of hydraulic equipment in a historical assembly process; performing multidimensional domain feature analysis on the historical assembly vibration signals to obtain vibration signal domain feature information; calling an intelligent prediction model to predict the minimum vibration time point of the vibration signal domain characteristic information to obtain a target time point; acquiring historical assembly light parameters, wherein the historical assembly light parameters refer to the light parameters of the first assembly link of the hydraulic equipment in the historical assembly process; Extracting a first historical light parameter in the historical assembly light parameters, and acquiring a first historical acquisition image under the first historical light parameter; introducing an image quality evaluation function to obtain a first image quality index of the first historical acquisition image, and taking the first historical light parameter as a preset light parameter when the first image quality index reaches a quality index limit value; Performing light setting on the first assembly link of the hydraulic equipment based on the preset light parameter, and starting the image acquisition equipment at the target time point; acquiring an assembly image of the first assembly link through the image acquisition equipment to obtain a first assembly image, and performing assembly regulation and control of the first assembly link according to the first assembly image; Wherein the method comprises the following steps: acquiring a training vibration signal, and acquiring a training vibration signal frequency spectrum of the training vibration signal based on a fast Fourier transform principle; performing spectrum analysis on the training vibration signal spectrum to obtain training spectrum density, and reversely matching a training target time point range corresponding to a training signal peak value in the training spectrum density; Embedding the training target time point range into a first time point predictor; acquiring a training target time point of the training vibration signal, wherein the training target time point refers to a time point when vibration in the training vibration signal is minimum; performing supervised machine learning on a training data set constructed based on the vibration signal domain feature information and the training target time point to obtain a second time point predictor; and constructing the first time point predictor and the second time point predictor to obtain the intelligent prediction model.
2. The image processing-based hydraulic equipment fitting regulation method according to claim 1, characterized in that the method comprises: acquiring time domain features of the training vibration signals to obtain time domain features of the training signals; Acquiring frequency domain characteristics of the training vibration signal spectrum to obtain training signal frequency domain characteristics; the training signal time domain features and the training signal frequency domain features form the vibration signal domain feature information.
3. The image processing-based hydraulic equipment fitting regulation method according to claim 1, wherein the expression of the image quality evaluation function is as follows: ; Wherein, the Refers to the first image quality index, Refers to a first image characteristic value of the first historically acquired image, Refers to the quality feedback coefficient of the product, Means that the coordinates in the first historical acquisition image are as follows The dc coefficient of the cut image block, Means that the coordinates in the first historical acquisition image are as follows Is used to cut the ac coefficients of the image block, Refers to the influence factor of the direct current coefficient on the first image characteristic value, Refers to the influence factor of the alternating current coefficient on the first image characteristic value, and 。
4. A hydraulic equipment fitting regulation method based on image processing according to claim 3, characterized in that it comprises: cutting the first historical acquired image to obtain a first cutting result, wherein the first cutting result comprises a plurality of cutting image blocks with coordinate identifications; extracting a first cutting image block in the plurality of cutting image blocks with the coordinate marks, wherein the first cutting image block corresponds to a first coordinate; Acquiring a first discrete cosine transform coefficient of the first cut image block, wherein the first discrete cosine transform coefficient comprises a first direct current coefficient and a first alternating current coefficient; establishing a first mapping relation between the first coordinate and the first direct current coefficient and between the first coordinate and the first alternating current coefficient; The image quality assessment function calculates the first image quality index based on the first mapping relationship.
5. The image processing-based hydraulic equipment fitting regulation method according to claim 3, characterized in that the method further comprises: Obtaining a first saliency map of the first historical acquisition image based on the Itti-Koch visual saliency principle; acquiring a first image block coincidence degree of a target salient image block and a preset salient image block in the first salient image, wherein the target salient image block is a pixel set of which the salient value in the first salient image meets a preset limit value; and adjusting the first image quality index by taking the first image block overlapping ratio as an adjusting coefficient.
6. The image processing-based hydraulic equipment assembly regulation method according to claim 1, wherein a predetermined light characteristic is read, and the first historical light parameter is obtained based on the predetermined light characteristic, wherein the predetermined light characteristic includes a light source quality, a light source intensity, and a light interference degree.
7. An image processing based hydraulic equipment fitting control system, characterized by the steps for implementing the method of any one of claims 1 to 6, said system comprising: The system comprises a historical assembly vibration signal acquisition module, a control module and a control module, wherein the historical assembly vibration signal acquisition module is used for acquiring a historical assembly vibration signal, and the historical assembly vibration signal refers to a vibration signal of a first assembly link of hydraulic equipment in a historical assembly process; the multidimensional domain feature analysis module is used for carrying out multidimensional domain feature analysis on the historical assembly vibration signals to obtain vibration signal domain feature information; The intelligent prediction model calling module is used for calling an intelligent prediction model to predict the minimum vibration time point of the vibration signal domain characteristic information so as to obtain a target time point; The historical assembly light parameter acquisition module is used for acquiring historical assembly light parameters, wherein the historical assembly light parameters refer to light parameters of the first assembly link of the hydraulic equipment in the historical assembly process; the light parameter extraction module is used for extracting a first historical light parameter in the historical assembly light parameters and acquiring a first historical acquisition image under the first historical light parameter; The image quality evaluation module is used for introducing an image quality evaluation function to obtain a first image quality index of the first historical acquired image, and taking the first historical light parameter as a preset light parameter when the first image quality index reaches a quality index limit value; The light setting module is used for setting light for the first assembly link of the hydraulic equipment based on the preset light parameters and starting the image acquisition equipment at the target time point; The image acquisition and assembly regulation and control module is used for acquiring an assembly image of the first assembly link through the image acquisition equipment to obtain a first assembly image, and carrying out assembly regulation and control of the first assembly link according to the first assembly image.

Description

Hydraulic equipment assembly regulation and control method and system based on image processing Technical Field The application relates to the technical field of image processing, in particular to an assembly regulation and control method and system for hydraulic equipment based on image processing. Background With the continuous progress of engineering machinery technology, hydraulic equipment is widely applied in modern industry as an important component thereof, and relates to precise assembly and regulation and control processes. In the process of hydraulic equipment assembly regulation, analysis and judgment are often needed by means of a computer vision system. However, due to the low image quality, such as low resolution, large noise, etc., the computer analysis result is often inaccurate, thereby affecting the assembly accuracy. In summary, in the prior art, when the assembly control of the hydraulic device is performed based on the real-time assembly image, the quality of the collected real-time assembly image is low, so that the technical problem of low assembly alignment precision is caused. Disclosure of Invention The application aims to provide an image processing-based hydraulic equipment assembly regulation and control method and an image processing-based hydraulic equipment assembly regulation and control system, which are used for solving the technical problem that in the prior art, when the assembly regulation and control of hydraulic equipment is carried out based on real-time assembly images, the quality of the acquired real-time assembly images is low, so that the assembly alignment precision is low. In view of the above problems, the present application provides a hydraulic equipment assembly regulation method and system based on image processing. The application provides an image processing-based hydraulic equipment assembly regulation and control method, which is realized by an image processing-based hydraulic equipment assembly regulation and control system, wherein the method comprises the steps of obtaining historical assembly vibration signals, performing multidimensional domain feature analysis on the historical assembly vibration signals to obtain vibration signal domain feature information, calling an intelligent prediction model to predict the vibration signal domain feature information to obtain a target time point, obtaining historical assembly light parameters, wherein the historical assembly light parameters refer to light parameters of a first assembly link of the hydraulic equipment in the historical assembly process, extracting first historical light parameters in the historical assembly light parameters, obtaining a first historical acquisition image under the first historical light parameters, introducing an image quality evaluation function to obtain a first image quality index of the first historical acquisition image, taking the first historical light parameters as preset parameters when the first image quality index reaches a quality index limit value, performing minimum vibration time point prediction on the vibration signal domain feature information to obtain a target time point, obtaining the first historical assembly light parameters, extracting the first historical assembly light parameters in the historical assembly light parameters, obtaining the first historical acquisition image under the first historical assembly light parameters, introducing an image quality evaluation function to obtain the first historical image quality index of the first historical assembly link, and performing image acquisition on the first assembly link under the first assembly link based on the preset parameters, and performing image acquisition and starting image acquisition on the first assembly link. The application also provides an image processing-based hydraulic equipment assembly regulation and control system, which is used for executing the image processing-based hydraulic equipment assembly regulation and control method according to the first aspect, wherein the system comprises a historical assembly vibration signal acquisition module, a light ray parameter extraction module, an intelligent prediction model calling module, a historical assembly light ray parameter acquisition module, a light ray parameter evaluation module and a first image quality evaluation module, wherein the historical assembly vibration signal acquisition module is used for acquiring a historical assembly light ray parameter, the historical assembly vibration signal is a vibration signal of a first assembly link of the hydraulic equipment in a historical assembly process, the multidimensional domain feature analysis module is used for carrying out multidimensional domain feature analysis on the historical assembly vibration signal to obtain vibration signal domain feature information, the intelligent prediction model calling module is used for calling an intelligent prediction model to carry out m