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

【摘要】：我國(guó)是一個(gè)礦產(chǎn)資源非常豐富的大國(guó),儲(chǔ)存的資源種類(lèi)共有158種,而且分布非常廣泛,有許多礦物質(zhì)需要先進(jìn)行破碎處理才能進(jìn)行精選,大型球磨機(jī)為該生產(chǎn)工藝關(guān)鍵設(shè)備。選礦廠球磨機(jī)由于潤(rùn)滑油壓力的不穩(wěn)定所導(dǎo)致的燒瓦事故時(shí)有發(fā)生,因此球磨機(jī)潤(rùn)滑油壓力是一個(gè)至關(guān)重要的實(shí)時(shí)監(jiān)測(cè)參數(shù)。本文針對(duì)潤(rùn)滑油壓力檢測(cè)的可靠性問(wèn)題,分析了球磨機(jī)靜壓潤(rùn)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(jī)器視覺(jué)表盤(pán)檢測(cè)方法。該方法能夠?qū)毫Ρ肀P(pán)值進(jìn)行機(jī)器識(shí)別,為壓力傳感器和控制系統(tǒng)提供冗余檢測(cè)信號(hào),可以降低油壓過(guò)低而導(dǎo)致的燒瓦事故,提升油壓檢測(cè)系統(tǒng)的智能化程度。系統(tǒng)采用CCD就地?cái)z像頭獲取壓力表盤(pán)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(jìn)行處理。針對(duì)攝像頭采集表盤(pán)圖像時(shí)出現(xiàn)畸變現(xiàn)象,采用插值法對(duì)圖像進(jìn)行校正,為后續(xù)的細(xì)節(jié)處理提供較好的前提條件。同時(shí)采用DoG濾波器、Marr-Hildreth邊緣檢測(cè)器、Hough變換和OPTA算法對(duì)表盤(pán)圖像進(jìn)行濾波、分割、提取以及數(shù)字細(xì)化。并給出一種改進(jìn)的橫豎端點(diǎn)尋點(diǎn)法(HVPP)和改進(jìn)的模板匹配算法對(duì)提取的數(shù)字進(jìn)行識(shí)別,能夠?qū)崿F(xiàn)壓力表盤(pán)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(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類(lèi)號(hào)】：TD453

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