یک معماری برای تحلیل فرآیندها در کارخانههای هوشمند بر اساس تکنیکهای کلان داده، فرآیندکاوی و یادگیری ماشین
الموضوعات : فناوری اطلاعات و ارتباطاتعلیرضا اولیائی 1 , شیده سرائیان 2 , علی نودهی 3
1 - گروه کامپیوتر، واحد گرگان، دانشگاه آزاد اسلامی، گرگان، ایران
2 - گروه کامپیوتر، واحد گرگان، دانشگاه آزاد اسلامی، گرگان، ایران
3 - گروه کامپیوتر، واحد گرگان، دانشگاه آزاد اسلامی، گرگان، ایران
الکلمات المفتاحية: کارخانه هوشمند, تحلیل فرآیندها, کلان دادهها, فرآیندکاوی, یادگیری ماشین,
ملخص المقالة :
با توجه به ماهیت کارخانههای هوشمند و بهکارگیری فناوریهای نوین مانند سیستمهای سایبری فیزیکی، رایانش ابری، اینترنت اشیاء و غیره در اینگونه محیطها، حجم دادههای تولید شده بصورت تصاعدی افزایش یافته است. بنابراین، پردازش بلادرنگ حجم زیادی از دادههای با سرعت بالا به منظور تحلیل فرآیندها، مسالهای سخت و چالشبرانگیز است. در این شرایط، فناوریهای تحلیل کلان دادهها به عنوان ابزاری قدرتمند میتوانند نقش مهمی را در کنترل فرآیندها ایفا نمایند. در این پژوهش، یک معماری مبتنی بر ترکیب تکنیکهای کلان دادهها، فرآیندکاوی و یادگیری ماشین برای تحلیل فرآیندها در کارخانههای هوشمند ارائه شده است که امکان تحلیل دقیق و بلادرنگ فرآیندها در اینگونه محیطها را فراهم میآورد. در حقیقت، این معماری از ابزارهای قدرتمند تحلیل کلان داده و تکنیکهای نوینی مانند فرآیندکاوی بهره میبرد و با بهکارگیری الگوریتم رگرسیون لجستیک به عنوان یک ابزار یادگیری ماشین، قادر به استخراج بینشهای ارزشمند از دادههای تولید شده در این محیطها است. نتایج ارزیابی کارایی معماری پیشنهادی نشان میدهد که این معماری توانایی بالایی در تحلیلهای بلادرنگ فرآیندها از طریق ترکیب تکنیکهای پیشرفته تحلیل داده فراهم میآورد.
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