PhisioStream: on the use of general-purpose log management and streams processing software stacks for first-responders monitoring

摘要

Several off-the-shelf frameworks are available to support the Internet of Things (IoT) use cases, including sensors data acquisition, processing, and visualization. These software stacks are engineered around the abstraction of streams (of data), enabling a high level of neutrality to the application domain. In this work, we explore the use of existing IoT and log management tools to enable first response teams monitoring, in the context of the VR2Market project's requirements. The objective is to deploy general-purpose, proven monitoring frameworks to enhance the analytical capabilities of teams monitoring, not only for tracking the position of individuals, but also to monitor their physiology and detect alarming conditions. The proposed system, PhisioStream, leverages on streams processing tools, especially the Apache Kafka suite, and Grafana for advanced visualization. The mission command is able to gather both current and historical physiology of each member in a rich dashboard. Advanced users can reconfigure the dashboard, for different views of the missions' data, without the need for coding new features.