【摘要】：在我國(guó)電力智能化系統(tǒng)快速發(fā)展的今天,電力自動(dòng)化、無(wú)人值守的需求越來(lái)越緊迫。指針式儀表作為指示電力環(huán)境狀態(tài)的量測(cè)工具普遍存在于電廠中。由于指針式儀表由人工判讀完成,所以會(huì)出現(xiàn)效率低、誤差大等現(xiàn)象。針對(duì)這種現(xiàn)象,本文研究并設(shè)計(jì)了復(fù)雜背景下儀表指針示數(shù)識(shí)別系統(tǒng)。由機(jī)器代替人對(duì)電廠儀表進(jìn)行判讀,進(jìn)而達(dá)到提高工作效率、降低錯(cuò)誤率的目的。本文通過(guò)深入了解指針式儀表的特點(diǎn)和構(gòu)造,結(jié)合當(dāng)前人工智能領(lǐng)域的先進(jìn)技術(shù),對(duì)儀表外形、儀表指針及表盤(pán)數(shù)字等相關(guān)組件進(jìn)行了分析。本文提出了一種基于Adaboost分類(lèi)器精確定位儀表的方法,該方法能有效解決因變電站復(fù)雜環(huán)境而導(dǎo)致的儀表難定位問(wèn)題,相較于Hough變換的儀表定位具有較高的穩(wěn)定性和魯棒性。本文使用Sift算法實(shí)現(xiàn)旋轉(zhuǎn)表盤(pán)和傾斜表盤(pán)中數(shù)字正確定位,利用Hough直線(xiàn)檢測(cè)實(shí)現(xiàn)儀表指針提取,并依據(jù)平面向量夾角的計(jì)算公式完成對(duì)指針當(dāng)前示數(shù)的判讀。在對(duì)指針式儀表的研究和設(shè)計(jì)中,根據(jù)Sift算法的檢測(cè)結(jié)果,本文提出了一種基于聚類(lèi)算法的特征區(qū)域定位方法。該方法按照平面聚類(lèi)劃分的原則定位到Sift匹配點(diǎn)最密集的區(qū)域,實(shí)現(xiàn)對(duì)表盤(pán)數(shù)字高效定位。在對(duì)儀表指針提取的研究過(guò)程中,本文提出一種基于局部中心位置的指針重定位方法,該方法通過(guò)指針與表盤(pán)中心的位置關(guān)系利用Hough檢測(cè)結(jié)果實(shí)現(xiàn)對(duì)指針位置重定位,進(jìn)而完成對(duì)儀表指針更為精確的提取。在設(shè)計(jì)結(jié)構(gòu)上,本課題采用手持終端進(jìn)行現(xiàn)場(chǎng)信息采集,服務(wù)端對(duì)采集圖像信息進(jìn)行處理的C/S架構(gòu)體系。根據(jù)實(shí)際需求實(shí)現(xiàn)了儀表指針識(shí)別系統(tǒng),并完成了對(duì)COMPOUND GAUGE(真空壓力)儀表指針示數(shù)的精確判讀工作。
[Abstract]:With the rapid development of intelligent power system in our country, the demand of power automation and unattended is becoming more and more urgent. As a measuring tool to indicate the state of power environment, pointer instrument widely exists in power plant. Due to the manual interpretation of the pointer instrument, there will be low efficiency, large error and so on. In view of this phenomenon, this paper studies and designs the instrument pointer indication recognition system under the complex background. The instrument of power plant is interpreted by machine instead of human, so as to improve the working efficiency and reduce the error rate. Based on the deep understanding of the characteristics and structure of the pointer instrument and the advanced technology in the field of artificial intelligence, this paper analyzes the instrument shape, instrument pointer and dial number and other related components. This paper presents a method of accurate instrument positioning based on Adaboost classifier. this method can effectively solve the problem of instrument positioning caused by complex environment of substation, and has higher stability and robustness than Hough transform instrument positioning. In this paper, Sift algorithm is used to locate the numbers in rotating dial and inclined dial correctly, Hough line detection is used to extract instrument pointer, and the current indication number of pointer is interpreted according to the calculation formula of plane vector angle. In the research and design of pointer instrument, according to the detection results of Sift algorithm, a feature region location method based on clustering algorithm is proposed in this paper. According to the principle of plane clustering, this method can locate the densest area of Sift matching points, and realize the efficient location of dial numbers. In the research process of instrument pointer extraction, this paper proposes a pointer relocation method based on local center position, which realizes pointer position relocation by using Hough detection results through the position relationship between pointer and dial center. Then the instrument pointer is extracted more accurately. In the design structure, the handheld terminal is used to collect the field information, and the server is used to process the collected image information. According to the actual demand, the instrument pointer identification system is realized, and the accurate interpretation of COMPOUND GAUGE (vacuum pressure) instrument pointer indication is completed.
【學(xué)位授予單位】：山東理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TP391.41;TM62

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