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ارائه مدل مدیریت واحد بحرانهای شهر هوشمند از منظر پدافند غیرعامل مبتنی بر شیوههای AHP و ANFIS | ||
| نشریه مهندسی عمران امیرکبیر | ||
| مقاله 5، دوره 55، شماره 11، بهمن 1402، صفحه 2227-2242 اصل مقاله (1.6 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22060/ceej.2023.21679.7793 | ||
| نویسندگان | ||
| سیدعظیم حسینی* ؛ حسین ملکی طولابی | ||
| گروه مهندسی عمران، واحد تهران جنوب، دانشگاه آزاد اسلامی، تهران، ایران. | ||
| چکیده | ||
| امروزه رشد جمعیت و بهتبع آن افزایش تمایل به شهرنشینی، بهخصوص در کشورهای درحالتوسعه، موجب بروز مشکلات محیطزیستی، اقتصادی، اجتماعی و امنیتی شده است که ادامه وضع موجود، امکان توسعه پایدار شهری را ناممکن میسازد. از طرفی، طی سالیان اخیر، توجه به مباحث پدافند غیرعامل در بسیاری از کشورها موردتوجه قرار گرفته است. اینجاست که شهر هوشمند بهعنوان راهحل ایدهآل مقابله با چالشهای ناشی از شهرنشینی مطرح میگردد. در این پژوهش، ابتدا معیارهای مهم مدیریت واحد بحرانهای شهر هوشمند با تاکید بر پدافند غیرعامل شناسایی گردید و میزان اهمیت هریک از آنها مشخص شد و سپس نتایج آنها مورد بررسی قرار گرفت. روش گردآوری اطلاعات در پژوهش حاضر، از نوع توصیفی- تحلیلی بر پایه مطالعات کتابخانهای است. اطلاعات لازم در این پژوهش، با استفاده از مطالعات کتابخانهای و همچنین، ضمن تکمیل چکلیست بهصورت کیفی جمعآوریشده و پس از آن برای انجام محاسبات ازنظر کارشناسان خبره در زمینه پدافند غیرعامل و شهر هوشمند استفاده شد. سپس با استفاده از فرآیند تحلیل سلسلهمراتبی AHP، شاخصهای تعیین شده، امتیازدهی و رتبهبندی گردیدند و در ادامه با استفاده از نرمافزار MATLAB R2021b، اقدام به کدنویسی روش سیستم استنتاج فازی- عصبی تطبیقی (ANFIS)، شد که درنهایت منجر به طراحی و ارائه مدل مدیریت واحد بحرانهای شهر هوشمند از منظر پدافند غیرعامل گردید. یافتههای حاصل از پژوهش حاضر مبتنی بر شیوههای AHP و ANFIS، نشان از اهمیت ایمنسازی اینترنت اشیا (IoT)، ایمنسازی محیط، ایمنسازی شبکه، کنترلپذیرش شبکه، ایجاد نرمافزار مجازیسازی در سطح سیستمعامل (کانتینر)، کاهش تهدید و اصلاح، و تجزیهوتحلیل و اقدام در بحث مدیریت واحد بحرانهای شهر هوشمند از منظر پدافند غیرعامل دارد. باتوجهبه اهمیت موضوع ایجاد شهرهای هوشمند، میتوان گفت که لزوم بررسی و توجه همهجانبه به مدیریت واحد بحرانهای شهرهای هوشمند باتوجهبه اصول و مبانی پدافند غیرعامل، تأثیر بیشتری را در برقراری حفاظت، امنیت و افزایش توسعه پایدار شهری دارد؛ بنابراین کلیه شاخصهای مهم دراینخصوص بهتفکیک مورد ارزیابی قرار گرفت و مدل نهایی ارائه گردید. مدل ارائه شده دارای نسبت سازگاری نهایی 0/059 بوده که قابلقبول است. همچنین مقدار خطای RMSE شبکه آموزشدیده ANFIS، برابر0/0179 و مقدار R2 آن نیز برابر 0/9897 بدست آمد که نشان از دقت بسیار بالای مدل پیشنهادی دارد. | ||
| کلیدواژهها | ||
| مدیریت بحران؛ شهر هوشمند؛ ارائه مدل؛ ANFIS؛ پدافند غیرعامل | ||
| موضوعات | ||
| درون شهری؛ شبکه های عصبی؛ مدیریت هوشمند؛ مدل های پیشگوئی | ||
| عنوان مقاله [English] | ||
| Presenting a Model for Integrated Crisis Management in Smart Cities from the Viewpoint of Passive Defense Based on AHP and ANFIS | ||
| نویسندگان [English] | ||
| Seyed Azim Hosseini؛ Hossein Maleki Toulabi | ||
| Associate Professor, Department of Civil Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran. | ||
| چکیده [English] | ||
| Currently, the ever-increasing population growth coupled with the people’s tendency toward urbanization, especially in developing countries, has led to a number of environmental, economic, social, and security problems, to a point where continuation of the current trends is likely to prevent sustainable urban development. On the other hand, passive defense has gained lots of attention in many countries in the recent past. This is where the concept of smart cities emerges as an ideal solution for tackling the challenges of urbanization. In this research, we began by identifying the most significant factors of integrated crisis management in smart cities with a focus on passive defense, with the importance of each factor further evaluated. The results were then analyzed. In this work, data gathering was performed through a descriptive-analytic method based on library studies. The required qualitative data was collected by library studies by completing a checklist. Subsequently, numerical analyses were conducted using opinions from experts in the passive defense and smart cities studies. Afterward, an analytic hierarchical process (AHP) was utilized to appraise and rank different factors. Next, an adaptive neuro-fuzzy inference system (ANFIS) was coded in MATLAB R2021b, which ended up presenting an integrated model of crisis management in smart cities from the viewpoint of passive defense. Based on the AHP and ANFIS, our findings highlighted the importance of securing the Internet of things (IoT), securing the environment, securing the network, network acceptance control, developing visualization software at the level of operating system (container), suppressing the threats and modification, and the analysis and action-taking when it came to the integrated crisis management in smart cities from the viewpoint of passive defense. Considering the importance of building smart cities, it can be stipulated that comprehensive attention to integrated crisis management in smart cities considering the principles of passive defense can boost urban protection, security, and sustainable development. Therefore, we considered all important factors separately to come up with a final model. The presented model exhibited a final compatibility ratio of 0.059, which is pretty acceptable. Moreover, the trained ANFIS ended up with an RMSE of 0.0179 coupled with an R2 value of 0.9897, indicating the high accuracy of the proposed model. | ||
| کلیدواژهها [English] | ||
| Crisis management, smart city, model presentation, ANFIS, passive defense | ||
| مراجع | ||
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