Incident Management Information Sharing

SensorUp IoT Platform for Emergency and Disaster Management

Common Operating Picture

SensorUp’s Platform was used to support on-the-fly connection of disparate sensors in near real time (less than one second delay).
The platform supported a set of rules dictating what information should be presented on screen to a given role, at a given point in time. Display and visualization were used to communicate the relative importance of information.
SensorUp’s COP dashboard presented information in a map-based portal with analytics accessible in the same screen.

SensorUp SensorThings API Platform

SensorUp’s Platform acts as the bridge allowing devices to interact with each other and with 3rd-party web applications.
In this case, devices are in-situ, fixed, mobile, and wearable. In situation management, devices measure disparate phenomena, are sourced from numerous manufacturers, and belong to different organizations. SensorUp’s platform combined this variety into a single portal.
SensorUp provided cloud, server, and connection services. SensorUp’s IoT Platform is the world’s first ISO/OGC standards-compliant and geospatial-enabled Platform-as-a-Service (PaaS) for the IoT.

SensorUp’s platform was used to support a common operating picture that combined disparate data and reported only the critical information to any given role.

Common operating picture combining disparate data and communicating only critical information

Communicate the right information to the right role

Easy access to all information, without overwhelming managers and responders

Easy-to-use portal featuring built-in mapping and analytics capabilities

Simplicity in information presentation to support critical tasks, improve decision-making ability, and decrease response time

Outsource data management tasks to allow responders to focus on the situation

Reduced administrative overhead time and costs

Emergency and Disaster Management Common Operating Picture

Emergency and disaster management is a high-stakes environment in which the situation changes rapidly and response decisions can be a matter of life or death for multitudes. Information can flood in from the varied groups tasked with managing the situation, as well as managers and observers, including police, fire, hazmat, army, private response personnel, and individual citizens. Responders need to make informed decisions on the fly, and want to receive all the necessary information to do so, without being distracted by unnecessary data. Varied departments and roles must work together, share information, and execute relief efforts based on the best available data. In emergency management, this information sharing portal is called a common operating picture (COP).

To create a working COP, disparate datastreams must be brought together in real time, and modeled such that the information are relevant to each other. To present only the important information, rules about what is and isn’t relevant to responders must be put in place. These hide unhelpful information, and only bring to attention the critical pieces. For example: instead of tracking all personnel, each operative can be outfitted with biometrics sensors. The data exchange platform can monitor these on an ongoing basis, without outputting them all to the screen. However, if someone’s biometrics cross a critical threshold, then that person can be brought onto the screen, and called to the situation manager’s attention. In order to respond, the closest non-critical personnel can be dispatched to assist. In support of this, environmental conditions in the area can be queried to ensure it is safe to enter.

Robust geospatial capacity is also necessary to support emergency management. The situation happens in physical space, and effects propagate through it. Hazards can be carried on the wind or downstream, evacuations can be obstructed by artificial and natural barriers such as dead-ends or waterways. When dispatching personnel, it is important to know who is actually closest, rather than who is closest as the crow flies. In our earlier example, in which the nearest operative is being sent to help a fellow responder in a critical state, this is particularly important. If the closest able body is behind a wall, and must navigate a complex network such as a circuitous route through a darkened building, the fastest response may actually be achieved by sending someone who appears farther, but can reach the situation sooner via a more direct route. To know this, the system must understand network location rather than just point locations.