با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
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1 |
Establishment and application of intelligent city building information model based on BP neural network model
ایجاد و کاربرد مدل اطلاعات هوشمند شهرسازی براساس مدل شبکه عصبی BP-2020 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. Keywords: BP neural network | Smart city | Building information model |
مقاله انگلیسی |
2 |
Semi-automated generation of parametric BIM for steel structures based on terrestrial laser scanning data
تولید نیمه خودکار BIM پارامتری برای سازه های فلزی بر اساس داده های اسکن لیزری زمینی-2020 As-built building information models (BIMs) are increasingly needed for construction project handover and
facility management. To create as-built BIMs, laser scanning technology has gained popularity in the recent
decades due to its high measurement accuracy and high measurement speed. However, most existing methods
for creating as-built BIMs from laser scanning data involve plenty of manual work, thus becoming labor intensive
and time consuming. To address the problems, this study presents a semi-automated approach that can obtain
required parameters to create as-built BIMs for steel structures with complex connections from terrestrial laser
scanning data. An algorithm based on principal component analysis (PCA) and cross-section fitting techniques is
developed to retrieve the position and direction of each circular structural component from scanning data. An
image-assisted edge point extraction algorithm is developed to effectively extract the boundaries of planar
structural components. Normal-based region growing algorithm and random sample consensus (RANSAC) algorithm
are adopted to model the connections between structural components. The proposed approach was
validated on a bridge-like steel structure with four different types of structural components. The extracted asbuilt
geometry was compared with the as-designed geometry to validate the accuracy of the proposed approach.
The results showed that the proposed approach could efficiently and accurately extract the geometry information
and generate parametric BIMs of steel structures. Keywords: Building information model (BIM) | Terrestrial laser scanning | As-built geometric modeling |
مقاله انگلیسی |