Emergency management involves collaboration among different operators (e.g. policemen, firemen, medics) on critical and dangerous situations (e.g. fires, floods). Real-time elaborations of a large amount of information and knowledge are needed to automate control and decision making processes. In this scenario raw data are captured and processed through a chain of activities (filtering, fusion, classification) generating abstract information that is selected, diffused and presented to interested users. These activities can be turned into the interpretation of executable transformation models, abstract representations of input-output transformations which can be coded on a calculator. Executable transformation models might not be static; but they may be dynamically generated by observing and processing incoming data. From the architectural point of view the dynamic model generation implies the existence of mechanisms for the dynamic deployment of the executable transformation models. In this paper we present a software architecture aimed at providing these mechanisms.