تبیین مدل نظری فرآیند مدیریت دانش در ساخت هوش طراحی خودکار نما

نویسندگان

1 دکتری معماری؛ گروه معماری؛ دانشگاه آزاد اسلامی؛ واحد علوم و تحقیقات؛ تهران، ایران

2 دکتری معماری؛ گروه معماری؛ دانشگاه آزاد اسلامی؛ واحد علوم و تحقیقات؛ تهران، ایران؛

3 دکتری شهرسازی؛ گروه شهرسازی؛ دانشگاه آزاد اسلامی؛ واحد علوم و تحقیقات؛ تهران؛ ایران.

چکیده

چکیده: دانش عامل آگاهی و معنای امروز جهان است و این منبع ارزشمند و راهبردی تنها دارایی ماندگار بشر بوده و ارائه هرگونه محصولات، خدمات و فناوری با کیفیت مناسب و در زمان کوتاه بدون حفظ و مدیریت این منبع باارزش ممکن نخواهد بود. با توجه به رشد بسیار سریع دانش، مدیریت دانش، هم در بعد معنایی و هم در بعد حجمی یک ضرورت بوده و عدم انجام آن منجر به تنزل بهره‌وری می‌شود. این مسئله برای تمام دانش‌ها از جمله دانش معماری نیز مطرح است. یکی از نشانه‌های رشد سریع دانش معماری، افزایش نرم‌افزارها در یک دهه اخیر با کارکردهای مختلف در جهت حل مسائل معماری است که نشان‌دهنده فزونی حجم داده‌ها و چند عاملی‌بودن فرایندهای طراحی است.
از این رو، هدف این پژوهش رسیدن به یک مدل نظری و ارائه پیشنهاد برای اجرای مدیریت دانش با استفاده از هوش مصنوعی در فرایند طراحی معماری است.
‌در این مقاله از روش کیفی که بر پایه مدل‌های مفهومی از فرایند داده‌های کشف دانش‌ بهره گرفته شده است که یک تحقیق اکتشافی برای برجسته‌کردن عملکردهای مربوط به اعمال روند مدیریت دانش در معماری است. نتیجه این پژوهش ارائه مدل شبیه‌سازی‌شده مدیریت دانش در معماری و مدل‌سازی فرایند ساخت هوش طراحی خودکار نماست. طبق نتایج به‌دست‌آمده، ورود هوش مصنوعی در عرصه معماری به‌صورت هوش طراحی خودکار برای طراحی نمای ساختمان‌ها می‌تواند فرایند مدیریت داده‌ها، اطلاعات و دانش در معماری را برای رسیدن به طراحی چندعاملی فراهم آورد.

کلیدواژه‌ها

عنوان مقاله [English]

Explaining the Theoretical Model of Knowledge Management Process in Building Automated Facade Design Intelligence

نویسندگان [English]

  • Mahsa Safarnezhad Samarin 1
  • Azadeh Shahcheraghi 2
  • Hossein Zabihi 3
چکیده [English]

Because of the very rapid growth of knowledge in both meaning and volume, knowledge management is a necessity, and not doing it reduces usefulness. This applies to all sciences, including architecture. One of the signs of the rapid growth of architectural knowledge in the last decade is the increase of software with various functions to solve architectural problems which shows the increase in data volume and the multi-factor nature of design processes. Therefore, the purpose of this study is to achieve a theoretical model and provide a proposal for the implementation of knowledge management using artificial intelligence in the architectural design process. This paper uses a qualitative method that is the basis of conceptual models of the knowledge discovery data (KDD) process and is an exploratory study to highlight the functions associated with applying the knowgedge management (KM) process in architecture. The result of this research is to present a simulated model of knowledge management in architecture and modeling of the process of building an automated design intelligence. According to the obtained results, the introduction of artificial intelligence to design the facade of buildings, can provide the process of data management, information and knowledge in architecture to achieve multifactorial design.

کلیدواژه‌ها [English]

  • Knowledge Management
  • Data and Information
  • Architecture
  • Facade Design

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سابقه مقاله

  • تاریخ دریافت: 19 آذر 1401
  • تاریخ بازنگری: 08 خرداد 1402
  • تاریخ پذیرش: 19 آذر 1401
  • تاریخ اولین انتشار: 19 آذر 1401

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