بهینه سازی و کاهش مسدودی خطوط ریلی با استفاده از شبکه های عصبی سه لایه پرسپترون

نوع مقاله : علمی - پژوهشی

نویسندگان

1 دانشجوی دکتری مدیریت فناوری اطلاعات، گروه مدیریت فناوری اطلاعات، واحد قشم، دانشگاه آزاد اسلامی، قشم، ایران

2 دانشیار، دانشکده برق و کامپیوتر، واحد یادگار امام خمینی (ره) شهر ری، دانشگاه آزاد اسلامی، تهران، ایران

3 دانشیار، دانشکده مدیریت، واحد تهران مرکز، دانشگاه آزاد اسلامی، تهران، ایران

چکیده

امروزه در سراسر جهان حجم عظیمی از داده ها از طریق ظرفیت بالای شبکه های مخابراتی نوری انتقال می یابد. در راه آهن نیز شبکه های مخابراتی انتقال نوری در انتقال داده های حیاتی ریلی, و ایمنی سیر و حرکت نقش بسیار بالایی دارند. پایداری قابلیت اطمینان زیرساخت های مخابراتی در افزایش بهره وری، حفظ ایمنی و همچنین کاهش هزینه های نگهداری الزامی می باشد. در این مقاله سطح قابلیت اطمینان موجود و کلیه پارامترهای مربوطه (تعداد قطعی های شبکه و مدت زمان بین خرابی های شبکه MTBF) ) شبکه مخابراتی انتقال نوری راه آهن برای بدست آوردن تعداد مسدودی خطوط ریلی از طریق متد بلوک دیاگرام ((Reliability block diagram مدل سازی و از طریق متد مونت کارلو شبیه سازی شده و سپس با هدف کاهش مسدودی خط بهینه سازی شده است با توجه به اینکه با هر خرابی شبکه، خطوط ریلی مسدود می شوند، تعداد قطعی شبکه با مسدودی خط برابر است. بنا براین با بهینه سازی قابلیت اطمینان شبکه مسدودی خط کاهش می یابد. . همچنین پیش بینی رفتار شبکه و بدست آوردن احتمال خرابی های آن از طریق شبکه های عصبی سه لایه پرسپترون انجام شده و نتایج آن ارائه شده است. شبکه پیاده سازی شده در این مقاله شبکه انتقال مخابرات نوری منطقه ریلی آذربایجان به طول ۶۵۴ کیلومتر می‌باشد.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Optimization and reduction of blocking of railway lines using three-layer perceptron neural networks

نویسندگان [English]

  • MAZIAR YAZDANY 1
  • Saeed Ghazi Maghrebi 2
  • محمد علی Mohammad Ali Afshar Kazemi 3
1 Ph.D. Student, Department of Information Technology Management, Qeshm Branch, Islamic Azad University, Qeshm, Iran
2 Assistant Professor, Department of Telecommunication Engineering, Electrical and Computer Faculty, Yadgar Imam Khomeini Branch, Shahr Ray, Islamic Azad University, Tehran, Iran
3 Assistant Professor, Department of Industrial Management, Faculty of Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran
چکیده [English]

Today, a huge amount of data is transmitted around the world through the high capacity of optical telecommunication networks. In railways, optical transmission telecommunication networks play a very important role in the transmission of vital rail data and the safety of movement. Reliability stability of telecommunication infrastructure is essential in increasing productivity, maintaining safety and reducing maintenance costs. In this article, the existing reliability level and all relevant parameters (the number of network outages and the duration between network failures, MTBF) of the railway optical transmission telecommunication network to obtain the number of blocked railway lines through the block diagram method (Reliability block diagram model) created and simulated through the Monte Carlo method and then optimized with the aim of reducing line blocking, considering that with each network failure, rail lines are blocked, the number of network outages is equal to line blocking. Therefore, with optimization, the reliability of the line blocking network is reduced. Also, predicting the behavior of the network and obtaining the probability of its failure is done through perceptron three-layer neural networks and its results are presented. The network implemented in this article is an optical telecommunication transmission network. The railway zone of Azerbaijan is 654 km long.

کلیدواژه‌ها [English]

  • Optical transmission telecommunication network
  • Reliability
  • Monte Carlo simulation
  • perceptron neural
  • RBD model

مراجع

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  • تاریخ دریافت: 11 آبان 1401
  • تاریخ بازنگری: 01 آذر 1401
  • تاریخ پذیرش: 06 آذر 1401

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