本文選題：球磨機 + 潤滑油壓　； 參考：《昆明理工大學(xué)》2015年碩士論文

【摘要】：我國是一個礦產(chǎn)資源非常豐富的大國,儲存的資源種類共有158種,而且分布非常廣泛,有許多礦物質(zhì)需要先進行破碎處理才能進行精選,大型球磨機為該生產(chǎn)工藝關(guān)鍵設(shè)備。選礦廠球磨機由于潤滑油壓力的不穩(wěn)定所導(dǎo)致的燒瓦事故時有發(fā)生,因此球磨機潤滑油壓力是一個至關(guān)重要的實時監(jiān)測參數(shù)。本文針對潤滑油壓力檢測的可靠性問題,分析了球磨機靜壓潤滑系統(tǒng)研究的現(xiàn)狀和背景,給出了圖像處理即基于FPGA的機器視覺表盤檢測方法。該方法能夠?qū)毫Ρ肀P值進行機器識別,為壓力傳感器和控制系統(tǒng)提供冗余檢測信號,可以降低油壓過低而導(dǎo)致的燒瓦事故,提升油壓檢測系統(tǒng)的智能化程度。系統(tǒng)采用CCD就地攝像頭獲取壓力表盤視頻流,再由SAA7113視頻采集芯片逐幀凍結(jié)圖像傳輸?shù)教幚砥鱂PGA中進行處理。針對攝像頭采集表盤圖像時出現(xiàn)畸變現(xiàn)象,采用插值法對圖像進行校正,為后續(xù)的細節(jié)處理提供較好的前提條件。同時采用DoG濾波器、Marr-Hildreth邊緣檢測器、Hough變換和OPTA算法對表盤圖像進行濾波、分割、提取以及數(shù)字細化。并給出一種改進的橫豎端點尋點法(HVPP)和改進的模板匹配算法對提取的數(shù)字進行識別,能夠?qū)崿F(xiàn)壓力表盤圖像的智能讀數(shù)。
[Abstract]:China is a large country with rich mineral resources. There are 158 kinds of resources stored and they are widely distributed. Many minerals need to be crushed before they can be selected. The large ball mill is the key equipment of the production process. The oil pressure of ball mill is a very important real time monitoring parameter because of the accident of burning tile caused by the instability of lubricating oil pressure in concentrator. Aiming at the reliability of lubricating oil pressure detection, this paper analyzes the present situation and background of the hydrostatic lubrication system of ball mill, and presents the image processing method based on FPGA for machine vision dial detection. The method can identify the pressure gauge disc value by machine, provide redundant detection signal for pressure sensor and control system, reduce the burning-off accident caused by too low oil pressure, and enhance the intelligent degree of oil pressure detection system. The system uses CCD camera to obtain the video stream of pressure gauge disk, and then transfers the frozen image frame by SAA7113 video acquisition chip to the processor FPGA for processing. Aiming at the distortion phenomenon when the camera collects the dial image, the interpolation method is used to correct the image, which provides a good precondition for the subsequent detail processing. At the same time, DoG filter, Marr-Hildreth edge detector, Hough transform and OPTA algorithm are used to filter, segment, extract and digital thinning the dial image. An improved Vertical Point finding method (HVPP) and an improved template matching algorithm are presented to recognize the extracted digits, which can realize the intelligent reading of the pressure gauge image.
【學(xué)位授予單位】：昆明理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TD453

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本文編號：2074031