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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2018
عنوان انگلیسی مقاله:
Conception and Exploration of Using Data as a Service in Tunnel Construction with the NATM
ترجمه فارسی عنوان مقاله:
مفهوم و اکتشاف استفاده از داده ها به عنوان یک سرویس در ساخت تونل با NATM
منبع:
Sciencedirect - Elsevier - Engineering, 4 (2018) 123-130: doi:10:1016/j:eng:2017:07:002
نویسنده:
Bowen Du a, Yanliang Du b, Fei Xu b,⇑, Peng He c
چکیده انگلیسی:
The New Austrian Tunneling Method (NATM) has been widely used in the construction of mountain tun
nels, urban metro lines, underground storage tanks, underground power houses, mining roadways, and so
on. The variation patterns of advance geological prediction data, stress–strain data of supporting struc
tures, and deformation data of the surrounding rock are vitally important in assessing the rationality
and reliability of construction schemes, and provide essential information to ensure the safety and
scheduling of tunnel construction. However, as the quantity of these data increases significantly, the
uncertainty and discreteness of the mass data make it extremely difficult to produce a reasonable con
struction scheme; they also reduce the forecast accuracy of accidents and dangerous situations, creating
huge challenges in tunnel construction safety. In order to solve this problem, a novel data service system
is proposed that uses data-association technology and the NATM, with the support of a big data environ
ment. This system can integrate data resources from distributed monitoring sensors during the construc
tion process, and then identify associations and build relations among data resources under the same
construction conditions. These data associations and relations are then stored in a data pool. With the
development and supplementation of the data pool, similar relations can then be used under similar con
ditions, in order to provide data references for construction schematic designs and resource allocation.
The proposed data service system also provides valuable guidance for the construction of similar projects.
Keywords: New Austrian Tunneling Method ، Big data environments ، Data as a service ، Tunnel construction
قیمت: رایگان
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