scholarly journals BIM and Computer Vision-Based Framework for Fire Emergency Evacuation Considering Local Safety Performance

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3851
Author(s):  
Hui Deng ◽  
Zhibin Ou ◽  
Genjie Zhang ◽  
Yichuan Deng ◽  
Mao Tian
Keyword(s):  
Computer Vision ◽  
Fire Hazard ◽  
Route Planning ◽  
Emergency Evacuation ◽  
Automatic Generation ◽  
Indoor Navigation ◽  
Safety Performance ◽  
Information Modeling ◽  
Interior Space ◽  
Local Safety

Fire hazard in public buildings may result in serious casualties due to the difficulty of evacuation caused by intricate interior space and unpredictable development of fire situations. It is essential to provide safe and reliable indoor navigation for people trapped in the fire. Distinguished from the global shortest rescue route planning, a framework focusing on the local safety performance is proposed for emergency evacuation navigation. Sufficiently utilizing the information from Building Information Modeling (BIM), this framework automatically constructs geometry network model (GNM) through Industry Foundation Classes (IFC) and integrates computer vision for indoor positioning. Considering the available local egress time (ALET), a back propagation (BP) neural network is applied for adjusting the rescue route according to the fire situation, improving the local safety performance of evacuation. A campus building is taken as an example for proving the feasibility of the framework proposed. The result indicates that the rescue route generated by proposed framework is secure and reasonable. The proposed framework provides an idea for using real-time images only to implement the automatic generation of rescue route when a fire hazard occurs, which is passive, cheap, and convenient.

scholarly journals INTEGRATION OF BUILDING INFORMATION MODELING AND AGENT-BASED MODELING FOR EVACUATION SIMULATION

2021 ◽  
Vol XLVI-4/W5-2021 ◽  
pp. 109-112
Author(s):  
C. Beyaz ◽  
E. D. Özgener ◽  
Y. G. Bağcı ◽  
Ö. Akın ◽  
H. Demirel
Keyword(s):  
Information Technologies ◽  
Information Science ◽  
Spatial Information ◽  
Emergency Evacuation ◽  
Indoor Navigation ◽  
Information Modeling ◽  
Accurate Information ◽  
Agent Based ◽  
Fire Evacuation ◽  
Building Information

Abstract. Building Information Modelling (BIM) is a highly advanced spatial modeling method that is fully incorporated in the building lifecycle. With the support of Information Technologies, the use of BIM has become common in building management such as energy efficiency, indoor navigation and emergency evacuation simulations. This study focuses on emergency evacuation simulations since, integrating BIM and Spatial Information Science, could mitigate casualties in emergencies. Traditional evacuation management methods are generally inadequate since they are based on 2D evacuation plans, they are static and do not consider the characteristics/interactions of the people in the building. This study aims to integrate BIM and Agent-Based Modelling (ABM) for emergency evacuation simulations, where characteristics of the building and the users are incorporated. Istanbul Technical University Faculty of Civil Engineering was selected as study area and the BIM model was created by using the CAD drawings of the floor plans. The users of the Faculty building such as students, academicians, administrative staff and visitors are considered for simulations. The BIM model was transferred to the ABM environment, and the routes used during the fire evacuation were generated. Fire evacuation simulations were performed, where agents having different characteristics evacuate the building according to the rules predefined. Three different scenarios were tested. Major conclusion of this study is that, via integrating BIM and ABM, it is possible to model people’s behavior within a three-dimensional digital environment, where decision-makers could be performing simulations such as fire evacuation supported by dynamic, realistic and accurate information.

CamNav: a computer-vision indoor navigation system

2021 ◽  
Author(s):  
Abdel Ghani Karkar ◽  
Somaya Al-Maadeed ◽  
Jayakanth Kunhoth ◽  
Ahmed Bouridane
Keyword(s):  
Computer Vision ◽  
Navigation System ◽  
Indoor Navigation ◽  
Indoor Navigation System

scholarly journals Crashworthiness of Safe Fuels

1972 ◽  
Author(s):  
R. A. Rockow ◽  
L. M. Shaw
Keyword(s):  
Performance Evaluation ◽  
Fire Hazard ◽  
Full Scale ◽  
Safety Performance ◽  
Screening Tests ◽  
Aircraft Accidents ◽  
The Past ◽  
Relative Safety ◽  
Series Of Experiments ◽  
Aircraft Crash

Safety fuels such as emulsified and gelled fuels have been studied over the past several years as one means for reducing the post-crash fire hazard associated with aircraft accidents. However, through the work described herein, only recently has a quantitative evaluation been made to characterize the safety performance of these fuels. The safety performance evaluation program described in this paper includes an initial series of screening tests designed to obtain the characteristics of safe fuels in the aircraft crash environment. The authenticity of the screening tests relative to the full-scale crash environment was evaluated through a second series of experiments designed to simulate a full-scale aircraft crash environment. A crashworthiness evaluation criterion was established in terms of an “ignition susceptibility parameter” to quantitize the relative safety performance of different fuels. The conclusions of this research clearly show that significant savings in lives and equipment can be realized if safe fuels which perform within the non-hazardous envelope of the ignition susceptibility parameter are operationally incorporated in present-day aircraft.

scholarly journals MODELING OF EMERGENCY EVACUATION IN BUILDING FIRE

2020 ◽  
Vol XLIII-B4-2020 ◽  
pp. 321-327 ◽  
Author(s):  
H. Bayat ◽  
M. R. Delavar ◽  
W. Barghi ◽  
S. A. EslamiNezhad ◽  
P. Hanachi ◽  
...  
Keyword(s):  
Indoor Environment ◽  
Shortest Paths ◽  
Fire Risk ◽  
Emergency Evacuation ◽  
Information Modeling ◽  
Sufficient Information ◽  
Dijkstra Algorithm ◽  
Rescue Workers ◽  
Building Information ◽  
Emergency Exit

Abstract. One of the main problems of rescue workers in confrontation of fired complex buildings is the lack of sufficient information about the building indoor environment and their emergency exit ways. Building information modeling (BIM) is a database for building a 3D model of building information to create a 3D building geometry network model. This paper has implemented some GIS and BIM integration analyses to determine the shortest and safest paths to people under fire risk and simulate their movement in the building. Plasco building was a multi-story shop in Tehran which has been fired in 2017 and destroyed. This paper attempts to simulate the firefighting and rescue operations in Plasco Building using an integration of BIM and GIS. There is no detailed information about the building and the fire incident, therefore the developed BIM and corresponding geometric network might differ slightly. The shortest and safest paths to the exit door or windows where the fire ladders are located are computed and analyzed. As a result of 15 scenarios developed in this paper, it was found that at 87% of the cases, the safest paths for the emergency exit of the people at risk were longer than the shortest paths. This study has evaluated different scenarios for the shortest and safest paths using Dijkstra algorithm considering different origins and destination points in the 3D indoor environment to assist the rescue operations.

scholarly journals ABGS: A System for the Automatic Generation of Building Information Models from Two-Dimensional CAD Drawings

2020 ◽  
Vol 12 (17) ◽  
pp. 6713
Author(s):  
Youngsoo Byun ◽  
Bong-Soo Sohn
Keyword(s):  
Computer Aided Design ◽  
Low Cost ◽  
3D Models ◽  
Automatic Generation ◽  
Information Modeling ◽  
Two Dimensional ◽  
Efficient Design ◽  
Information Models ◽  
Building Information ◽  
Floor Plans

Building Information Modeling (BIM) refers to 3D-based digital modeling of buildings and infrastructure for efficient design, construction, and management. Governments have recognized and encouraged BIM as a primary method for enabling advanced construction technologies. However, BIM is not universally employed in industries, and most designers still use Computer-Aided Design (CAD) drawings, which have been used for several decades. This is because the initial costs for setting up a BIM work environment and the maintenance costs involved in using BIM software are substantially high. With this motivation, we propose a novel software system that automatically generates BIM models from two-dimensional (2D) CAD drawings. This is highly significant because only 2D CAD drawings are available for most of the existing buildings. Notably, such buildings can benefit from the BIM technology using our low-cost conversion system. One of the common problems in existing methods is possible loss of information that may occur during the process of conversion from CAD to BIM because they mainly focus on creating 3D geometric models for BIM by using only floor plans. The proposed method has an advantage of generating BIM that contains property information in addition to the 3D models by analyzing floor plans and other member lists in the input design drawings together. Experimental results show that our method can quickly and accurately generate BIM models from 2D CAD drawings.

Indoor Navigation for a Complex Parking Building Based on Computer Vision

2019 ◽  
Author(s):  
Yulin Jia ◽  
Zhihong Jin ◽  
Haiping Zhang ◽  
Yuanchen Li ◽  
Xiaohan Wang ◽  
...  
Keyword(s):  
Computer Vision ◽  
Indoor Navigation

scholarly journals Multi-Sensor Fusion Approach for Improving Map-Based Indoor Pedestrian Localization

Sensors ◽  
2019 ◽  
Vol 19 (17) ◽  
pp. 3786 ◽  
Author(s):  
Huang ◽  
Hsieh ◽  
Liu ◽  
Cheng ◽  
Hsu ◽  
...  
Keyword(s):  
Sensor Fusion ◽  
Navigation System ◽  
Inertial Sensor ◽  
Indoor Navigation ◽  
Sensor Data ◽  
Interior Space ◽  
Localization Accuracy ◽  
Light Sensor ◽  
Indoor Navigation System ◽  
Fusion Approach

The interior space of large-scale buildings, such as hospitals, with a variety of departments, is so complicated that people may easily lose their way while visiting. Difficulties in wayfinding can cause stress, anxiety, frustration and safety issues to patients and families. An indoor navigation system including route planning and localization is utilized to guide people from one place to another. The localization of moving subjects is a critical-function component in an indoor navigation system. Pedestrian dead reckoning (PDR) is a technology that is widely employed for localization due to the advantage of being independent of infrastructure. To improve the accuracy of the localization system, combining different technologies is one of the solutions. In this study, a multi-sensor fusion approach is proposed to improve the accuracy of the PDR system by utilizing a light sensor, Bluetooth and map information. These simple mechanisms are applied to deal with the issue of accumulative error by identifying edge and sub-edge information from both Bluetooth and the light sensor. Overall, the accumulative error of the proposed multi-sensor fusion approach is below 65 cm in different cases of light arrangement. Compared to inertial sensor-based PDR system, the proposed multi-sensor fusion approach can improve 90% of the localization accuracy in an environment with an appropriate density of ceiling-mounted lamps. The results demonstrate that the proposed approach can improve the localization accuracy by utilizing multi-sensor data and fulfill the feasibility requirements of localization in an indoor navigation system.

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