6. Discussions and conclusion
Wide infrastructures as industry plants and hospitals are vulnerable to causality events. In this paper, we presented 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 introduction of the integrated indoor/outdoor navigation has constrained to a major restructuring of the software architecture of the application. The details are reported in the paper. The navigation algorithms are based on low costs mobile sensors and adaptive extended Kalman filter. The solution has been validated 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 (the former solution). The proposed solution for indoor navigation resulted to be better ranked with respect to the solution reviewed at the state of the art.
The present solution provides some intelligence aspects in the navigation modules (on client side) and may could integrate some intelligence into the CS to select the most suitable personnel to be delegated to solve an emergency, and to provide suggestions about the eventual actions to be performed, organizes and compose the groups/teams for each specific intervention. All these aspects could be subjected to a further addition of some intelligence and may of some slow intelligence solutions [19]. The selection of the best teams on the basis of their profiles, position, and intervention can be a complex task. In more details, the slow intelligence approach could be adopted for managing the status evolution of the several groups and single persons involved into the emergency or maintenance conditions. In[20], a different approach for indoor navigation has been suggested, that could be used to provide high level descriptors to the user in indoor navigation, for example indicating the directions at the right moment according to a high level semantic descriptor. The proposed solution and that of [20] and [19] could be integrated each other on the basis of the proposed integrated navigation system that recover the position with the needed precision.