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ارائه شاخصی جدید جهت ارزیابی خودکار توزیع یکنواخت اندود سطحی و نفوذی روسازی راهها | ||
| نشریه مهندسی عمران امیرکبیر | ||
| مقاله 3، دوره 53، شماره 3، خرداد 1400، صفحه 823-846 اصل مقاله (2.72 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22060/ceej.2020.16463.6250 | ||
| نویسندگان | ||
| مژگان حاجی علی1؛ فریدون مقدس نژاد* 2؛ حمزه ذاکری3 | ||
| 1مهندسی عمران(راه و ترابری)، دانشکده مهندسی عمران و محیط زیست، دانشگاه امیرکبیر، تهران، ایران | ||
| 2دانشگاه صنعتی امیر کبیر | ||
| 3hafez | ||
| چکیده | ||
| اندودها، یکی از اجزای تأثیرگذار در کارایی و عمر رویه راهها است. پارامترهایی در اجرای صحیح اندودها از جمله نوع اندود، زمان عملآوری، نرخ اجرا، دما، یکنواختی اجرا و غیره تأثیرگذار است. یکنواختی اجرا نیاز به کنترل میدانی دارد و در حال حاضر جهت کنترل وزنی اندود پخش شده از آزمایش سینی استفاده میشود، این آزمایش بدلیل پیوسته نبودن برداشت و نحوه همپوشانی، خطاهای زیادی دارد. یکی از موضوعاتی که کمتر به آن توجه شده است، بررسی یکنواختی اجرای اندود میباشد. در این پژوهش سامانه خودکاری با استفاده از دوربین، موقعیتیاب، برد میکروکنترلر و ... بر مبنای پردازش تصویر ارائه شده است که قادر به تحلیل توزیع یکنواخت اندود و ارائه دستهبندی خوب، متوسط و ضعیف برای ارزیابی خودکار توزیع یکنواخت اندود است. با استفاده از پردازش تصویر، کیفیت تصاویر ارتقاء داده شده و تصاویر فشرده و کاهش نویز گردید. برای جداسازی اندود اجرا شده از پیشزمینه تصویر از آستانهگذاری استفاده گردید. پس از آستانهگذاری، ویژگیهای مختلفی مانند مساحت اندود، ضریب تغییرات، بیشینه و کمینههای نسبی و غیره از تصاویر بدست آمده، و برای ارزیابی وضعیت توزیع اندود مورد استفاده قرار میگیرد. جهت انتخاب ویژگیهای مؤثر در دستهبندی تصاویر از الگوریتمهای طبقهبندی استفاده شد. مقایسه نتایج بدست آمده از دستهبندی تصاویر بوسیله ماتریس درهمریختگی صورت گرفت، که در نهایت نتایج نشان داد که سیستم ارائه شده دقتی برابر 86% دارد. همچنین با استفاده از پارامترهای مؤثر در مدل، شاخص توزیع یکنواخت اندود ارائه گردید. این شاخص مقداری بین 0 تا 100 دارد که نشاندهنده بهترین و بدترین حالت توزیع اندود میباشد. | ||
| کلیدواژهها | ||
| سامانه خودکار؛ اندود سطحی؛ اندود نفوذی؛ توزیع یکنواخت؛ پردازش تصویر | ||
| موضوعات | ||
| پایش سلامت راه؛ پردازش تصویر؛ شناسائی اتوماتیک؛ کنترل خودکار؛ مدیریت هوشمند | ||
| عنوان مقاله [English] | ||
| Providing Criterion to Automatic Evaluation of the Accuracy of Distribution of Tack Coat and Prime Coat Pavement Roads | ||
| نویسندگان [English] | ||
| mozhgan hajiali1؛ Fereydoon Moghaddasnezhad2؛ HAMZEH ZAKERI3 | ||
| 1Department of Civil Engineering and Environmental, Amirkabir University of Technology, Tehran, Iran | ||
| 2Department of Civil and Environmental Engineering, Amirkabir University of Technology(AUT), Thehran. Iran | ||
| 3RESEARCHER /AUT | ||
| چکیده [English] | ||
| The coating is one of the most important components that affect the efficiency of the pavements. Parameters are effective in the proper implementation of the coating such as the type of coating, the application time, the rate of application, temperature, uniformity of application, etc. The uniformity of application requires field control in the project implementation, is currently used to control the spreading weight of the tray. This test has many errors due to the lack of continuity. The issue of uniform distribution of coating has become less attention. In this study, the automatic system is presented based on image processing using a camera, GPS, microcontroller board, and ..., which can analyze the uniform distribution and provide a good, moderate and poor classification for coating distribution evaluation. Image quality has improved with image processing and compression and noise reduction have been done. The thresholding was used to separate the coating from the background. After the thresholding, various properties such as the area of the coating, coefficient of variation, local maximum, and minimum, etc. are obtained from the images and used to evaluate the coating distribution. Used categorization algorithms to select effective features in categorizing images. A comparison of the results of the classification of images by a confusion matrix. Finally, the results showed that the presented system has a precision of 86%. Also, using the effective parameters in the model, the uniform distribution index was presented. This index has a value between0 and 100, which indicates the best and worst distributions. | ||
| کلیدواژهها [English] | ||
| Automatic system, Tack coat, Prime coat, Uniform distribution, Image processing | ||
| مراجع | ||
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