【摘要】：在油田的開(kāi)采過(guò)程中,對(duì)油田進(jìn)行注水是保持油層壓力和提高油田產(chǎn)量的重要手段。為了能夠注水有效,科學(xué)開(kāi)發(fā)油田,需要利用水表對(duì)注水的流量和體積進(jìn)行嚴(yán)格監(jiān)控。水表在使用前必須由計(jì)量單位進(jìn)行誤差檢定,以確定水表能否投入使用。本課題以圖像識(shí)別技術(shù)為核心,設(shè)計(jì)一套自動(dòng)化程度較高的水表檢定系統(tǒng),以實(shí)現(xiàn)水表檢定過(guò)程的自動(dòng)化和數(shù)據(jù)管理的信息化,對(duì)提高計(jì)量單位的工作效率和經(jīng)濟(jì)收益有重要意義。首先,本文基于誤差檢定的方法和控制任務(wù),設(shè)計(jì)了水表檢定系統(tǒng)的總體實(shí)現(xiàn)方案。針對(duì)檢定誤差的分析流程和檢定裝置的工藝原理,給出了檢定系統(tǒng)的硬件實(shí)現(xiàn)方案;針對(duì)系統(tǒng)提出的檢定流程的自動(dòng)化操作和測(cè)試數(shù)據(jù)的信息化管理,給出了軟件的整體方案和實(shí)現(xiàn)方法。其次,本文對(duì)水表圖像的識(shí)別算法進(jìn)行了研究。對(duì)于字符區(qū)域的定位,本文采用了圖像形態(tài)學(xué)處理方法和水平投影方法,完成了字符區(qū)域的粗略定位和精確提取。對(duì)于水表中的半字識(shí)別問(wèn)題,本文設(shè)計(jì)了改進(jìn)的模板匹配算法,優(yōu)化了匹配算法的相關(guān)性系數(shù),提高了半字識(shí)別的正確率。對(duì)于指針區(qū)域的定位,本文采用了Hough圓檢測(cè)和顏色分割方法,完成了指針區(qū)域的粗略定位和和精確提取。對(duì)于指針?lè)较虻呐凶x,本文設(shè)計(jì)了最大距離法,可以有效地對(duì)指針?lè)较蜻M(jìn)行判讀。最后通過(guò)字符和指針的工作方式計(jì)算出水表的讀數(shù)。然后,基于LabVIEW語(yǔ)言設(shè)計(jì)了上位機(jī)軟件。利用LabVIEW Real Time等相關(guān)類庫(kù)編寫(xiě)了實(shí)時(shí)控制程序,利用LabVIEW Math Script編寫(xiě)了圖像識(shí)別算法,利用Oracle數(shù)據(jù)庫(kù)完成了本地?cái)?shù)據(jù)庫(kù)的創(chuàng)建,實(shí)現(xiàn)了檢定過(guò)程自動(dòng)化和數(shù)據(jù)管理信息化的要求。最后,驗(yàn)證了系統(tǒng)檢定流程的合理性,以及圖像識(shí)別的正確率和執(zhí)行時(shí)間。測(cè)試表明,檢定系統(tǒng)滿足了設(shè)計(jì)需求,圖像識(shí)別率可以達(dá)到98%以上,識(shí)別時(shí)間滿足實(shí)時(shí)性要求。
[Abstract]:In the process of oilfield production, water injection is an important means to maintain reservoir pressure and increase oil production. In order to develop oil fields scientifically and effectively, water meters should be used to strictly monitor the flow and volume of water injection. In order to determine whether the water meter can be put into use, the meter must be calibrated by the unit of measurement before it is used. Based on the image recognition technology, a water meter verification system with high degree of automation is designed in this paper to realize the automation of water meter verification process and the information of data management. It is of great significance to improve the work efficiency and economic benefits of the unit of measurement. Firstly, based on the error verification method and control task, the overall realization scheme of water meter verification system is designed. According to the analysis flow of the verification error and the process principle of the verification device, the hardware realization scheme of the verification system is given, and the automatic operation of the verification process and the information management of the test data are presented. The overall scheme and implementation method of the software are given. Secondly, the recognition algorithm of water meter image is studied in this paper. In this paper, the method of image morphological processing and horizontal projection are used to locate and extract the character region roughly. In this paper, an improved template matching algorithm is designed to optimize the correlation coefficient of the matching algorithm and improve the accuracy of half-word recognition. In this paper, Hough circle detection and color segmentation are used to locate the pointer region, and the rough location and accurate extraction of the pointer region are completed. In this paper, the maximum distance method is designed for pointer direction interpretation, which can effectively interpret pointer direction. Finally, the reading of the water meter is calculated by the work of characters and pointers. Then, the upper computer software is designed based on LabVIEW language. The real-time control program is written by using LabVIEW Real Time and other related class libraries, the image recognition algorithm is written by LabVIEW Math Script, the local database is created by using Oracle database, and the requirement of automation of verification process and information of data management is realized. Finally, the rationality of the system verification process and the correct rate and execution time of image recognition are verified. The test results show that the verification system meets the design requirements, and the recognition rate can reach more than 98%, and the recognition time can meet the real-time requirements.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TE938;TP391.41

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本文編號(hào)：2224941