شبیه سازی عامل مبنای عملیات امداد و نجات در حملات هوا پایه با تأکید بر تخصیص وظایف بین گروه ها

هوشنگی, نوید; رستمی, حسین

شبیه سازی عامل مبنای عملیات امداد و نجات در حملات هوا پایه با تأکید بر تخصیص وظایف بین گروه ها

نوع مقاله : مقاله پژوهشی

نویسندگان

¹ هیئت علمی گروه مهندسی نقشه برداری، دانشکده علوم زمین، دانشگاه صنعتی اراک، اراک، ایران

² کارشناسی ارشد جغرافیا، مسئول اداره اطلاعات مکانی، سازمان پدافند غیرعامل کشور

چکیده

سامانههای چندعاملی (MAS) بـا شبیهسازی اجزای یک سامانه پیچیده بـه‌عنـوان عامـلهای هوشـمند و پیادهسازی شاخصهای تصمیم‌گیری آن امکان پیش‌آگاهی از شرایط بحرانی را فراهم میکنند. هدف اصلی این مقاله شبیهسازی عملیات امداد و نجات در حملات هواپایه و افزایش کـارایی گروههای امداد و نجات در شرایط بحرانی میباشد. پیادهسازی سامانه شبیهسازی در منطقه 3 تهران در چهار بخش اصلی انجام شد: 1) اولویتدهی منطقه با روش تاپسیس (TOPSIS) در محیط GIS، 2) شبیهسازی محیط عملیات با لحاظ عاملهای دخیل (عاملهای جست‌وجوگر، آزادساز و تیم پزشکی) با نرم‌افزار AnyLogic، 3) تعریف نحوه همکاری و تخصیص وظایف بین عاملها، 4) ایجاد سناریوها و تحلیل نتایج مختلف.
نقشهی اولویت زیرساختها نشان داد که 21% از بلوکهای شهری در اولویت 1 حمله دشمن و به ترتیب 18، 29، 22 و 10 درصد در اولویت‌های 2 تا 5 قرار دارند. با پیادهسازی شبیه‌ساز مشاهده شد که با دو برابر کردن تعداد نیروهای امدادی در سناریوهای مختلف زمان عملیات 47% و تعداد نفرات فوت‌شده 9% کاهش مییابد. نتایج نشان‌دهنده‌ قابلیت استفاده از سامانههای چندعاملی در طراحی سامانه شبیه‌ساز و مدلسازی اجزاء تصمیم گیر بود. شبیه‌ساز ایجاد شده میتواند در مدیریت، تصمیمگیری و پیش‌بینی میزان آسیبپذیری ناشی از حملات هواپایه استفاده شود.

کلیدواژه‌ها

20.1001.1.20086849.1399.11.3.4.7

عنوان مقاله [English]

Agent-Based Rescue Simulation During Airstrikes with an Emphasis on Task Allocation Between Groups

نویسندگان [English]

N. Hooshangi ¹
H. Rostami ²

¹ Department of Surveying Engineering, Arak University of Technology, Arak, Iran

² M.Sc. of Geography, Iran’s Passive Defense Organization

چکیده [English]

Multi-agent systems (MASs) provide the possibility of prediction in critical situations by simulating the components of a complex system as intelligent agents and implementing its decision-making parameters. The main objective of this paper is to simulate the search and rescue operations for airstrikes (simulation of search, rescue and medical agents) and to increase the effectiveness of rescue teams in critical situations. Implementation of this system was carried out in district 3 of Tehran in three main phases: 1) prioritization of the area with the technique for the order of preference by similarity to the ideal solution (TOPSIS) in the GIS environment, 2) simulating the operating environment and establishing cooperation between the rescue groups by the AnyLogic software, and 3) creating scenarios and analyzing the different results. The infrastructure priorities’ map showed that 21 percent of the city’s blocks in the region were priority number one to enemy air attack and the other 18, 29, 22 and 10 percentages were in the second to fifth priorities, respectively. Implementation of a simulator system revealed that, by doubling the number of rescue forces in different scenarios, the average time of operation was decreased by 47% and the number of fatalities decreased by 9%. The results indicate the value of using multi-agent systems in designing a search and rescue simulator system and modeling the decision-making components. The output of this article can be used to manage, decide, and predict the extent of the damage caused by air attacks.

کلیدواژه‌ها [English]

Airstrikes
Geospatial Information System
Agent-based Simulation
Cooperation Between Agents

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