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