Description |
1 online resource (77 pages) |
Series |
SpringerBriefs in Fire |
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SpringerBriefs in fire.
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Contents |
Dedication; Acknowledgements; Contents; List of Figures ; List of Tables; Chapter 1: Introduction; 1.1 Motivation; 1.1.1 Modern Fire Safety Challenges; 1.1.2 Modern Infrastructure and€Technology Opportunities; 1.1.3 Cyber Physical Systems; 1.2 Literature Review; 1.2.1 Inverse Fire Model Development; 1.2.2 BIM Utilization Concepts; 1.3 Project Focus; 1.3.1 Objectives; 1.3.2 Scope; Chapter 2: Approach; 2.1 Physical Environment; 2.1.1 Testing Facility; 2.1.2 Sensor Selection and€Instrumentation; 2.1.3 Laboratory Sensors; 2.1.4 Fuel Package Location; 2.1.5 Fuel Package and€Ventilation Conditions |
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2.1.6 Experimental Methods2.2 Virtual Environment; 2.2.1 Program Selection; 2.2.2 Program Information Organization; 2.2.3 MFRI Structural Fire Fighting Building Data Collection; 2.2.4 MFRI Structural Fire Fighting Building Data Transformation; 2.2.5 Static and€Dynamic Data Transformation to€Information; Chapter 3: Results; 3.1 Timeline; 3.1.1 Crib Timeline (Small Fire); 3.1.2 Pallet Timeline (Large Fire); 3.1.3 Timeline Details; 3.2 Test Measurements; 3.2.1 Siemens Smoke Obscuration; 3.2.2 Siemens Temperature Readings; 3.2.3 Thermocouple Temperature; 3.2.4 Mass Loss Rate |
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3.2.5 System Limitations3.2.6 Inverse Fire Modeling Validation Data; 3.3 Real-Time Cyber Physical System Framework; 3.3.1 Real-Time Critical Fire Information Visualization; 3.4 Conclusions; 3.5 Future Work; Appendix; A.1 Facility Description; A.2 Siemens Fire Safety System Descriptions; A.3 Multi-criteria Smoke Detector Description ; A.4 Load Cell Limitation; A.5 Fuel Package Location; A.6 Wood Crib Fuel Description; A.7 Pallet Fuel Description; A.8 Testing Environment Conditions; A.8 Fire Scenario Descriptions ; Bibliography |
Summary |
This SpringerBrief presents cutting-edge research on an important aspect of smart firefighting which will improve performance, safety, prediction, and resilience. It demonstrates the viability of real-time decision support for smart firefighting and provides validation data for continued cyber-physical system (CPS) development by using a smart networked fire test bed consisting of a multi-story instrumented building, a variety of fire and non-fire networked sensors, and a computational framework anchored by a Building Information Modeling (BIM) representation of the building. The author conducted well-controlled full-scale fire experiments and represents them in the three-dimensional BIM, allowing for visualization of critical static and dynamic building and fire information. The CPS test bed produces clear evidence about the opportunities for fire safety created by the communication between sensors, BIM, and fire. When applied to fire protection, CPS fuses the emerging sensor and computing technologies with building control systems, firefighting equipment, and apparatus. This SpringerBrief reveals some of the key ways CPS makes firefighting safer and more efficient |
Bibliography |
Includes bibliographical references |
Notes |
Print version record |
Subject |
Fire prevention -- Technological innovations
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Cooperating objects (Computer systems)
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TECHNOLOGY & ENGINEERING -- Engineering (General)
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TECHNOLOGY & ENGINEERING -- Reference.
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Cooperating objects (Computer systems)
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Fire prevention -- Technological innovations
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Form |
Electronic book
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Author |
Marshall, André
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ISBN |
9783319471242 |
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3319471244 |
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