本文選題：PLC + ARM　； 參考：《浙江理工大學(xué)》2017年碩士論文

【摘要】：檢測及裝配是汽車玻璃升降器生產(chǎn)過程中非常重要的工序,尤其是隨著汽車行業(yè)自動(dòng)化水平的不斷提高,單純依靠人工視覺檢測并進(jìn)行裝配很顯然不能滿足當(dāng)今汽車行業(yè)的發(fā)展要求。在汽車玻璃升降器的生產(chǎn)裝配過程中,需要對(duì)滑輪位置和尺寸進(jìn)行檢測,并根據(jù)檢測結(jié)果進(jìn)行裝配。傳統(tǒng)的檢測方法如光電傳感器只可以檢測升降器滑輪及其它部件的漏裝,無法檢測到升降器部件的尺寸和部件間相對(duì)距離等詳細(xì)情況,無法適應(yīng)玻璃升降器快速和可靠制造的需求。尤其是滑輪總成的檢測與裝配很大程度上影響了繩輪升降器的使用性能和壽命,為此本文提出了一種基于機(jī)器視覺的繩輪升降器滑輪總成裝配線,旨在克服目前繩輪升降器滑輪總成的人工檢測及裝配方法的低效率、高成本、精確度差等缺陷,實(shí)現(xiàn)滑輪總成自動(dòng)化檢測與裝配的目的。本文首先設(shè)計(jì)了基于機(jī)器視覺嵌入式檢測系統(tǒng)的總體方案,分析了滑輪檢測圖像處理算法,特別是對(duì)于滑輪表面的正反面檢測方法,著重分析了邊緣檢測算法。為了提高檢測效率,對(duì)連續(xù)檢測算法進(jìn)行了研究。其次,在裝配線的布置方面,設(shè)計(jì)了滑輪總成裝配線的機(jī)械結(jié)構(gòu),采用ABAQUS軟件進(jìn)行了仿真,驗(yàn)證了滑輪總成與導(dǎo)軌旋鉚過程中卡緊力與鉚頭速度和摩擦系數(shù)的關(guān)系。最后,采用PLC與ARM設(shè)計(jì)了整套設(shè)備的控制系統(tǒng)。基于Qt平臺(tái)上設(shè)計(jì)了用戶操作界面具有視覺系統(tǒng)控制、檢測數(shù)據(jù)顯示、實(shí)時(shí)監(jiān)控、模式切換等功能,實(shí)現(xiàn)了對(duì)生產(chǎn)過程進(jìn)行實(shí)時(shí)監(jiān)控。在工廠實(shí)際裝配線上進(jìn)行了長時(shí)間連續(xù)測試,測試結(jié)果表明,本文所開發(fā)的裝置降低了滑輪總成誤裝率及錯(cuò)裝率數(shù)據(jù),完全可以替代現(xiàn)有的人工檢測環(huán)節(jié)以及裝配環(huán)節(jié),降低了企業(yè)的用工成本,提高了產(chǎn)品可靠性(誤檢率0.7‰)。本檢測系統(tǒng)也可以滿足其它行業(yè)的表面質(zhì)量檢測需求,具有重要的理論意義和實(shí)際應(yīng)用價(jià)值。
[Abstract]:Detection and assembly are very important processes in the production of automotive glass hoists, especially with the continuous improvement of automation level in the automobile industry. Simply relying on manual visual inspection and assembly is obviously not able to meet the development requirements of the automotive industry today. In the process of production and assembly of automobile glass hoist, the position and size of pulley should be detected and assembled according to the test results. Traditional detection methods such as photoelectric sensors can only detect the leakage of hoist pulleys and other components, and cannot detect details such as the size of the hoist components and the relative distance between them. Unable to meet the need for fast and reliable manufacture of glass hoists. In particular, the detection and assembly of pulley assembly greatly affect the performance and service life of rope wheel hoist. In this paper, a new assembly line of pulley hoist pulley assembly based on machine vision is proposed. The purpose of this paper is to overcome the low efficiency, high cost and poor precision of manual inspection and assembly method of pulley assembly of rope wheel hoist, and to realize the purpose of automatic inspection and assembly of pulley assembly. In this paper, the overall scheme of embedded detection system based on machine vision is designed, and the image processing algorithm of pulley detection is analyzed, especially for the front and back detection of pulley surface, and the edge detection algorithm is emphatically analyzed. In order to improve the detection efficiency, the continuous detection algorithm is studied. Secondly, the mechanical structure of the assembly line of pulley assembly is designed and simulated by ABAQUS software, which verifies the relationship between the clamping force and the speed of riveting head and friction coefficient in the process of pulley assembly and guide rail rotation riveting. Finally, the control system of the whole equipment is designed by using PLC and ARM. The user interface based on QT platform has the functions of visual system control, detection data display, real-time monitoring, mode switching and so on. The real-time monitoring of production process is realized. A long time continuous test has been carried out on the actual assembly line of the factory. The test results show that the device developed in this paper can reduce the misassembly rate and misfit rate data of the pulley assembly, and can completely replace the existing manual inspection and assembly links. The cost of employment is reduced and the product reliability is improved (the false detection rate is 0.7 鈥，

本文編號(hào)：1984698