Large and complex infrastructures as industry plants and hospitals are vulnerable to natural, man-made disasters, and causality events. In this paper, we present a solution addressing the guiding personnel during maintenance and/or emergency conditions. The aim is to reduce the time needed to react and to cope with organization and maintenance support, while facilitating communication, and indoor/outdoor navigation. The solution is based on the formalization of protocol, the modelling of knowledge for navigation, the algorithms and the development of a mobile application and corresponding server device for integrated indoor/outdoor navigation. The navigation algorithms are based on low costs mobile sensors and Adaptive Extended Kalman Filter. The solution has been validated and tried out within a large medical infrastructure, thus demonstrating the validity of the identified modalities and procedures, measuring the advantage from both qualitative and quantitative aspects. The indoor navigation solution has been compared with other former solutions based on classical Kalman and dead reckoning.

Maintenance and emergency management with an integrated indoor/outdoor navigation support / P. Bellini;P. Nesi;M. Simoncini;A. Tibo. - In: JOURNAL OF VISUAL LANGUAGES AND COMPUTING. - ISSN 1045-926X. - STAMPA. - 25:(2014), pp. 637-649. [10.1016/j.jvlc.2014.10.009]

Maintenance and emergency management with an integrated indoor/outdoor navigation support

BELLINI, PIERFRANCESCO;NESI, PAOLO;M. Simoncini;
2014

Abstract

Large and complex infrastructures as industry plants and hospitals are vulnerable to natural, man-made disasters, and causality events. In this paper, we present a solution addressing the guiding personnel during maintenance and/or emergency conditions. The aim is to reduce the time needed to react and to cope with organization and maintenance support, while facilitating communication, and indoor/outdoor navigation. The solution is based on the formalization of protocol, the modelling of knowledge for navigation, the algorithms and the development of a mobile application and corresponding server device for integrated indoor/outdoor navigation. The navigation algorithms are based on low costs mobile sensors and Adaptive Extended Kalman Filter. The solution has been validated and tried out within a large medical infrastructure, thus demonstrating the validity of the identified modalities and procedures, measuring the advantage from both qualitative and quantitative aspects. The indoor navigation solution has been compared with other former solutions based on classical Kalman and dead reckoning.
2014
25
637
649
P. Bellini;P. Nesi;M. Simoncini;A. Tibo
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/956909
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