Novel Design of Emergency Exit Slide for High Rises

As the number of high rises buildings increases rabidly these days, residents safety and emergency escape solutions became crucial issue. Several hundreds of persons died or critically injured, each month, due to fire or emergency escape problems during fire or other emergency accidents in high rises around the world. This work aims to find a solution to this problem by proposing a novel design of emergency exit slide for high rises in order to reduce the number of victims during such emergencies. An emergency escaping volute slide or spiraled chute inside a tunnel including extendable accordion pleated tubing made of asbestos fabric, supported with vacuum-deposited aluminized materials padded on its inner side. A ring to its upper end, which made its base attachable with the top of the building supported with Artificial Spider Silk launchers to hold the slide during emergencies. Attachable to small slides from the escape openings of a building, the lower end of the tubing having a soft pad with low angle allowing a person sliding down the main slide can step up to assembly points on ground level, outside the building. The proposed technique resulted in enhanced results in comparison with previous techniques

Development in building fire detection and evacuation system-a comprehensive review

Fire is both beneficial to man and his environment as well as destructive and deadly among all the natural disasters. A fire Accident occurs very rarely, but once it crops up its consequences will be devastating. The early detection of fire will help to avoid further consequences and saves the life of people. During the fire accidents, it is also important to guide people within the building to exit safely. Because of this, the paper gives a review of literature related to recent advancements in building fire detection and emergency evacuation system. It is intended to provide details about fire simulation tools with features, suitable hardware, communication methods, and effective user interface

Training of Crisis Mappers and Map Production from Multi-sensor Data: Vernazza Case Study (Cinque Terre National Park, Italy)

This aim of paper is to presents the development of a multidisciplinary project carried out by the cooperation between Politecnico di Torino and ITHACA (Information Technology for Humanitarian Assistance, Cooperation and Action). The goal of the project was the training in geospatial data acquiring and processing for students attending Architecture and Engineering Courses, in order to start up a team of "volunteer mappers". Indeed, the project is aimed to document the environmental and built heritage subject to disaster; the purpose is to improve the capabilities of the actors involved in the activities connected in geospatial data collection, integration and sharing. The proposed area for testing the training activities is the Cinque Terre National Park, registered in the World Heritage List since 1997. The area was affected by flood on the 25th of October 2011. According to other international experiences, the group is expected to be active after emergencies in order to upgrade maps, using data acquired by typical geomatic methods and techniques such as terrestrial and aerial Lidar, close-range and aerial photogrammetry, topographic and GNSS instruments etc.; or by non conventional systems and instruments such us UAV, mobile mapping etc. The ultimate goal is to implement a WebGIS platform to share all the data collected with local authorities and the Civil Protectio

Emergency Evacuation Assistance

There have been more than necessary casualties due to a lack of intelligence in emergency evacuation mechanisms such as exit signs. Although large or complex buildings and facilities have many exit doors, in case of emergency, people may not be able to escape quickly enough due to sudden loss of directions and difficulty in finding safe routes to exit doors. If you were ever in such a situation, you would wish that if there were ever smart escape route assistance mechanisms available or at least smart exit signs available that safely and quickly guide you to a safe haven. It is what we try to make such a wish come true. In this paper, we propose a graph mapping scheme and a new safe evacuation route algorithm for safe emergency evacuation assistance, with the aid of recent technology called Internet of Things (IoT). The gist of our approach is that people are not allowed to pass through or even go towards any area where fire or toxic gas is detected by controlling the direction signals installed on exit signs. The experiments performed with our methodology shows that the proposed technology may be able to save more lives

Intelligent evacuation management systems: A review

Crowd and evacuation management have been active areas of research and study in the recent past. Various developments continue to take place in the process of efficient evacuation of crowds in mass gatherings. This article is intended to provide a review of intelligent evacuation management systems covering the aspects of crowd monitoring, crowd disaster prediction, evacuation modelling, and evacuation path guidelines. Soft computing approaches play a vital role in the design and deployment of intelligent evacuation applications pertaining to crowd control management. While the review deals with video and nonvideo based aspects of crowd monitoring and crowd disaster prediction, evacuation techniques are reviewed via the theme of soft computing, along with a brief review on the evacuation navigation path. We believe that this review will assist researchers in developing reliable automated evacuation systems that will help in ensuring the safety of the evacuees especially during emergency evacuation scenarios

Software agents & human behavior

People make important decisions in emergencies. Often these decisions involve high stakes in terms of lives and property. Bhopal disaster (1984), Piper Alpha disaster (1988), Montara blowout (2009), and explosion on Deepwater Horizon (2010) are a few examples among many industrial incidents. In these incidents, those who were in-charge took critical decisions under various ental stressors such as time, fatigue, and panic. This thesis presents an application of naturalistic decision-making (NDM), which is a recent decision-making theory inspired by experts making decisions in real emergencies. This study develops an intelligent agent model that can be programed to make human-like decisions in emergencies. The agent model has three major components: (1) A spatial learning module, which the agent uses to learn escape routes that are designated routes in a facility for emergency evacuation, (2) a situation recognition module, which is used to recognize or distinguish among evolving emergency situations, and (3) a decision-support module, which exploits modules in (1) and (2), and implements an NDM based decision-logic for producing human-like decisions in emergencies. The spatial learning module comprises a generalized stochastic Petri net-based model of spatial learning. The model classifies routes into five classes based on landmarks, which are objects with salient spatial features. These classes deal with the question of how difficult a landmark turns out to be when an agent observes it the first time during a route traversal. An extension to the spatial learning model is also proposed where the question of how successive route traversals may impact retention of a route in the agent’s memory is investigated. The situation awareness module uses Markov logic network (MLN) to define different offshore emergency situations using First-order Logic (FOL) rules. The purpose of this module is to give the agent the necessary experience of dealing with emergencies. The potential of this module lies in the fact that different training samples can be used to produce agents having different experience or capability to deal with an emergency situation. To demonstrate this fact, two agents were developed and trained using two different sets of empirical observations. The two are found to be different in recognizing the prepare-to-abandon-platform alarm (PAPA ), and similar to each other in recognition of an emergency using other cues. Finally, the decision-support module is proposed as a union of spatial-learning module, situation awareness module, and NDM based decision-logic. The NDM-based decision-logic is inspired by Klein’s (1998) recognition primed decision-making (RPDM) model. The agent’s attitudes related to decision-making as per the RPDM are represented in the form of belief, desire, and intention (BDI). The decision-logic involves recognition of situations based on experience (as proposed in situation-recognition module), and recognition of situations based on classification, where ontological classification is used to guide the agent in cases where the agent’s experience about confronting a situation is inadequate. At the planning stage, the decision-logic exploits the agent’s spatial knowledge (as proposed in spatial-learning module) about the layout of the environment to make adjustments in the course of actions relevant to a decision that has already been made as a by-product of situation recognition. The proposed agent model has potential to be used to improve virtual training environment’s fidelity by adding agents that exhibit human-like intelligence in performing tasks related to emergency evacuation. Notwithstanding, the potential to exploit the basis provided here, in the form of an agent representing human fallibility, should not be ignored for fields like human reliability analysis

Fire Service - Management and Command of Major Incidents

This study has concentrated upon the decision-making processes used at major incidents by the fire service in the United Kingdom rather than the more routine decisions made on the fireground. This partly because major incidents are safety critical events, involving complex technical or communication issues involving large volumes of information and many agencies, and also because the decisions made and judgements exercised have to demonstrate a robustness in application that will withstand considerable external scrutiny, since often major incidents involve losses that are subject to insurance or legal investigations. The research undertaken indicates that improvements are possible. The research places the current decision system in context. It does this by considering the cultural traditions of the fire service together with the managerial and organisational arrangements that set the parameters within which judgements and decisions will be made. This approach provides an insight as to how the fire service functions at operations and importantly the relationship between those decisions and time pressured environment in which they are often reached. Practical case studies that were attended by the author as the senior fire service commander are used to illustrate these features and help provide useful learning outcomes. This foundation is then used to consider in detail the whole decision support system employed and to offer objective improvements. Explanation of the operational practice employed is assisted by the provision of a number of tables and figures that illustrate the critical parts of the decision system, such as information trees and components and observed inter-agency issues, which are summarised in a systethatic decision process. Having collated and reviewed these findings it is postulated that command competency and situational awareness, the essential pre-requisites, can be improved through use of a new paradigm that emphasises the better use of data derived from a wider range of sources than are currently used. To assist in gaining this improvement greater integration of technology is suggested and options that exploit technology, such as electronic data communications, sensing devices, robotics and visualisátion, explored. Additional to the main study a number of allied supportive areas of research have been undertaken. These have included issues like fire service culture, public reaction to a serious fire, emergency action procedures, and toxic plume modelling and fireball impacts together with brief commentaries on September 11th and the future fire service in the United Kingdom. This research contributes to a relatively new area of study, the fire service decision process used to command and control resources, at major incidents