مقاله انگلیسی رایگان در مورد مدل اطلاعات ساختمان شهر هوشمند- الزویر ۲۰۲۰

elsevier

 

مشخصات مقاله
ترجمه عنوان مقاله ایجاد و کاربرد مدل اطلاعات ساختمان شهر هوشمند براساس مدل شبکه عصبی BP
عنوان انگلیسی مقاله Establishment and application of intelligent city building information model based on BP neural network model
انتشار مقاله سال ۲۰۲۰
تعداد صفحات مقاله انگلیسی ۱۸ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله
مقاله پژوهشی (Research Article)
مقاله بیس این مقاله بیس میباشد
نمایه (index) Scopus – Master Journals List – JCR
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
۳٫۷۲۷ در سال ۲۰۱۹
شاخص H_index ۹۱ در سال ۲۰۲۰
شاخص SJR ۰٫۵۰۰ در سال ۲۰۱۹
شناسه ISSN ۰۱۴۰-۳۶۶۴
شاخص Quartile (چارک) Q2 در سال ۲۰۱۹
مدل مفهومی ندارد
پرسشنامه ندارد
متغیر دارد
رفرنس دارد
رشته های مرتبط مهندسی عمران، مهندسی کامپیوتر
گرایش های مرتبط مدیریت ساخت، هوش مصنوعی
نوع ارائه مقاله
ژورنال
مجله  ارتباطات رایانه ای – Computer Communications
دانشگاه  Department of Building & Real Estate, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China
کلمات کلیدی شبکه عصبی BP، شهر هوشمند، مدل اطلاعات ساختمان
کلمات کلیدی انگلیسی BP neural network; smart city; building information model
شناسه دیجیتال – doi
https://doi.org/10.1016/j.comcom.2020.02.013
کد محصول E14850
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Abstract
۱٫ Introduction
۲٫ Application of Bim in smart city planning
۳٫ Determination of influencing factors of BIM operation and maintenance management application in smart city
۴٫ Summary
CRediT authorship contribution statement
Declaration of Competing Interest
Acknowledgement
References

بخشی از متن مقاله:
Abstract

The construction of smart cities in our country has received extensive attention. Under the situation that smart cities are vigorously promoted nowadays, compared with traditional construction and operation and maintenance methods, building information model (BIM) technology is more suitable to serve as an important foundation for intelligent management in the whole process of construction projects. BIM is an abbreviation for building information model. BIM relies on a variety of digital technologies, which can be used to realize information modeling of urban buildings and infrastructure. The efficiency of information exchange in the process of intelligence construction ensures the integrity and accuracy of information data exchange and maintains the consistency of information data exchange. Data and information have objectivity, applicability, transferability, and sharing. Geographic data is a digital representation of various geographical features and phenomena and their relationships. BIM is a digital representation of physical and functional characteristics of a facility. It can It is used as a shared knowledge resource for facility information. It becomes a reliable basis for facility life-cycle decision-making. Input BP neural network, and then learn and train by BP neural network.

Introduction

The development potential of smart city refers to a kind of goal formed by various development factors under the support of smart city information infrastructure, which aims at promoting economic growth, social management, public service and residents’ living and working in peace and contentment [1]. Building a smart city is conducive to further promoting the in-depth integration of industrialization, informatization, urbanization and agricultural modernization, accelerating the construction of a “two-oriented” society, intelligently advancing the process of new urbanization, and realizing scientific urban governance [2]. The related work of construction engineering can obtain the required information from this building information model to express the interpretation of geographic data of the relationship between geographic features and geographic phenomena, thus geographic information has three major features: spatial features, temporal features and attribute features [3]. Management and mechanism innovation has become the core concept that it must follow. Among them, technological innovation provides strong support for management and mechanism innovation. It can guide the corresponding work and feedback the corresponding work information to the model [4-6]. The continuous incentives and the existence of resources indicate that the organization’s sensitivity to these forces will increase and the adoption rate of new technologies will increase. From this conclusion, we can summarize the rate of diffusion of BIM technology in the industry in a smart city environment and fully reflect the wisdom of BIM technology. Requirements for building operation phase [7].

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