مدیریت بحران

مدیریت بحران

تحلیلی بر کاربرد داده‌های عظیم، رایانش ابری، شبکه‌های حس‌گر بی‌سیم و وسایل نقلیه هوایی بدون سرنشین در امدادرسانی

نوع مقاله : مقاله علمی - پژوهشی

نویسندگان
1 گروه مهندسی صنایع، دانشگاه بوعلی سینا، همدان
2 هیات علمی/ دانشگاه بوعلی سینا همدان
چکیده
در هنگام وقوع یک بحران، جمع‌آوری و به اشتراک‌گذاری اطلاعات مربوط به فاجعه در مورد مناطق آسیب‌دیده یکی از مهم‌ترین فعالیت‌ها برای تصمیم‌گیری بهینه و مناسب در فرایندهای امدادرسانی است. همچنین ازآنجایی‌که پس از وقوع یک فاجعه زیرساخت‌ها از بین رفته و یا مختل می‌شوند، برای دریافت داده‌های آنلاین از مناطق آسیب‌دیده می‌توان از شبکه‌های حسگر بی‌سیم (WSN) و وسایل نقلیه‌ی هوایی بدون سرنشین (UAV2) استفاده کرد. این کار باعث می‌شود که داده‌های بسیاری و با نرخ تولید بالایی از طریق شبکه‌های اجتماعی و همچنین تلفن همراه افراد آسیب‌دیده در مناطق آسیب‌دیده و همچنین WSNها و UAVها تولید شود که نیاز به موضوع داده‌های عظیم و تجزیه‌وتحلیل آن‌ها را بسیار ضروری می‌کند. از سوی دیگر رایانش ابری سرویسی مستقل از دستگاه و مکان است که می‌توان با کمک آن محاسبات را با سرعت بالایی انجام داد که نیاز به رایانش ابری در هنگام وقوع بحران نیز نمایان می‌شود. به ‌عبارت‌ دیگر این دو فناوری با یکدیگر قابلیت تجزیه ‌و تحلیل داده‌ها در زمان واقعی را نه ‌تنها برای شناسایی شرایط اضطراری در مناطق آسیب‌دیده بلکه برای نجات افراد آسیب‌دیده فراهم می‌کنند. از این‌رو در این مقاله با بررسی مقالات سعی کردیم که تحلیل جامعی را در به‌کارگیری رایانش ابری، داده‌های عظیم، شبکه‌های حسگر بی‌سیم و وسایل نقلیه‌ی هوایی بدون سرنشین در مسئله‌ی امدادرسانی داشته باشیم.
کلیدواژه‌ها

عنوان مقاله English

Application of Big Data, Cloud Computing, Wireless Sensor Networks and Unmanned Aerial Vehicles in Disasters: An Analysis

نویسندگان English

Mehrdad Niyazi 1
Javad Behnamian 2
1 Department of Industrial Engineering, Faculty of Engineering, Bu-Ali Sina University, Hamedan, Iran
2 Associate Professor, Department of Industrial Engineering, Faculty of Engineering, Bu-Ali Sina University, Hamedan, Iran
چکیده English

When a disaster occurs, collecting and sharing disaster information about affected areas is one of the most important activities in order to optimal decision making for relief operations. Also because the infrastructures are destroyed or damaged after a disaster, WSNs and UAVs can be used to receive online data from the affected areas. This results in making a lot of data with high rates of production through social networks as well as mobile phones of affected people in affected areas as well as WSNs and UAVs which indicates the necessity of Big Data. On the other hand cloud computing is a service, independent of device and location where computing can be performed at high speed and this shows the need for cloud computing as well. In other words these two technologies provide real-time data analysis not just for emergency situation identification in the affected areas but also to rescue the affected people. In this paper we try to provide a comprehensive analysis of application of Big Data, Cloud Computing, Wireless Sensor Networks (WSN) and Unmanned Aerial Vehicles (UAV) in relief problems.

کلیدواژه‌ها English

Relief
Cloud Computing
Big Data
Wireless Sensor Networks (WSN) and Unmanned Aerial Vehicles (UAV)
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دوره 11، ویژه نامه کرونا
ویژه نامه کرونا
اسفند 1401
صفحه 87-107

  • تاریخ دریافت 05 مهر 1398
  • تاریخ بازنگری 24 خرداد 1401
  • تاریخ پذیرش 01 بهمن 1401