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Risk assessment and management via multi-source information fusion for undersea tunnel construction
ارزیابی و مدیریت ریسک از طریق تلفیق اطلاعات چند منبع برای ساخت تونل زیر زمینی -2020 The construction of undersea tunnels is an extremely risky endeavor that is vulnerable to water seepage and
gushing due to the high water pressure, complex geological conditions, and pore water trapped in unstable rocks.
This risk can lead to the collapse of tunnels under construction and disastrous consequences of fatalities and
injuries as well as project delays and financial losses. The current risk management practices for tunnel construction
projects in China are static and rely on the subjective judgement of experts and practitioners and do not
incorporate real-time monitoring data during the construction process at this time. This paper presents a new
method and system to assess and manage the risks during the construction process by coupling the risk management
system and the quality management system and integrating jobsite monitoring data, design data, and
environmental data. In this new method and system, the risk factors are categorized into (hu)man, material,
machine, method, and environment, or 4M1E, and are quantitatively measured. The Dempster-Shaffer (D-S)
theory was adopted in this method to both fuse the 4M1E data and to compute the aggregate risk index. This new
method and system was tested during the Xiamen Metro Line No. 3 project when a shield machine cutter accident
occurred. The results show that, before the accident, the individual risk measures in all five dimensions
(4M1E) and the aggregate risk index were extremely high, which clearly illustrated the feasibility and capability
of the newly developed method and system. Keywords: Undersea tunnel construction | Multi-source information fusion | Construction risk | D-S evidence theory | Fuzzy matter element |
مقاله انگلیسی |
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Integrating domain knowledge with deep learning models: An interpretable AI system for automatic work progress identification of NATM tunnels
ادغام دانش دامنه با مدل های یادگیری عمیق: یک سیستم هوش مصنوعی قابل تفسیر برای شناسایی پیشرفت کار خودکار تونل های NATM-2020 Finding a reliable and cost-effective approach to monitor the activities of the New Austrian Tunneling Method
(NATM) tunnel construction automatically is a challenging yet important task. This study presents an interpretable
artificial intelligence (AI) framework that automatically identifies NATM construction works using lowcost
site surveillance images. The framework adopts the Bayesian statistics to combine the prior NATM construction
knowledge with the visual evidence extracted by deep learning (DL) based computer vision models.
The analysis results of Site CCTV surveillance videos of four NATM tunneling projects are presented to demonstrate
its ability (i) to label NATM work cycles from the work timeline, (ii) to identify NATM work categories
inside each work cycle, and (iii) to estimate the degree of plan-work deviation at the construction cycle level.
The proposed framework yields promising results on a real NATM tunneling project. Keywords: Artificial intelligence | NATM project monitoring | Deep learning | Computer vision |
مقاله انگلیسی |
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Conception and Exploration of Using Data as a Service in Tunnel Construction with the NATM
مفهوم و اکتشاف استفاده از داده ها به عنوان یک سرویس در ساخت تونل با NATM-2018 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 |
مقاله انگلیسی |
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Knowledge dynamics-integrated map as a blueprint for system development: Applications to safety risk management in Wuhan metro project
پویایی دانش - نقشه یکپارچه به عنوان طرحی برای توسعه سیستم:برنامه های کاربردی برای مدیریت ریسک ایمنی در پروژه متروی ووهان-2018 Safety has always been a persistent problem in the construction industry, particularly for tunnel construction
projects due to the inherent uncertainty in geotechnical conditions and the complexity of the tunnel construction
process. Literatures and practices highlight the importance of safety knowledge to the construction safety.
However, safety knowledge is not always provided in a convenient and timely manner. This paper develops a
Knowledge-dynamics Integrated Map (KIM) to visualize safety knowledge flow in tunnel construction safety risk
management. The KIM highlights the what, the who, and the why of knowledge flow by portraying its dynamics
associated to the working processes. With the use of KIM, the safety knowledge flow barriers are identified so
that knowledge flow facilitators can be designed. The KIM has been applied in Wuhan metro project as a
blueprint for systematically developing effective safety knowledge management systems.
Keywords: Safety knowledge ، Knowledge map ، Knowledge flow dynamics ، Knowledge management ، Tunnel construction project |
مقاله انگلیسی |
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Commercializing user innovations by vertical diversification: The user–manufacturer innovator
تجاری سازی نوآوری کاربر با تنوع عمودی: کاربران سازنده مبتکر-2016 Article history:Received 14 May 2011Received in revised form 29 June 2015 Accepted 24 September 2015JEL classification:L25 O31Keywords:User innovationCommercialization of user innovations Vertical diversificationUser entrepreneurship Case studyThis paper explores a pathway to commercializing user innovations hitherto not studied, namely, the vertical diversification of a user firm into an upstream industry supplying capital goods, and subsequent coexistence of user and manufacturing units. Such coexistence creates synergies regarding innovation, marketing, and financials. It enables the manufacturing unit to benefit from user innovations in its new product development, while the user unit profits from improved tools. Yet, selling the firm’s own user innovations risks loss of the competitive advantage originating from use of these innovations. We employ case evidence from firms in the fields of foundation engineering, tunnel construction, tea-packaging, and geological surveying to derive a set of five propositions regarding the conditions under which user–manufacturer diversification is attractive and viable in the long run. These conditions relate to innovation, marketing, the organization, and financial aspects. Our study offers three contributions. We show how user entrepreneurship can originate from established corporations rather than from individual user innovators; we carve out factors that favor the move toward and the success of user–manufacturer diversification; and we link user innovation and corporate strategy by showing how user innovation can affect the boundaries of organizations.© 2015 Elsevier B.V. All rights reserved.
User innovation | Commercialization of user innovations | Vertical diversification | User entrepreneurship | Case study |
مقاله انگلیسی |