2026 R&D 100 Award Winner
Persistent DynAMICS is a lightweight software platform that enables distributed sensing systems to operate as a unified, responsive network. It integrates with existing sensors, data systems, and processing tools as an overlay, without requiring hardware replacement or increasing user burden.
As data is collected, the system identifies situations that require additional attention and directs selected sensors to gather more information. For example, if a sensor detects an unusual condition along a pipeline, the system can task nearby sensors or different sensing modalities to confirm the event and focus data collection where it is needed.
To support this, the platform forms temporary groups of sensors that work together to address specific objectives. Once complete, these groups are dissolved and resources are reassigned as needed.
Communication is handled through an integrated messaging framework with client and server components, enabling reliable operation and data continuity even in low-bandwidth or intermittent connectivity environments.
Value Proposition
Many monitoring systems rely on networks of sensors that collect data on fixed schedules or within predefined areas. This approach generates large volumes of low-value data, increases storage and processing demands, and may miss short-lived or unexpected events.
Persistent DynAMICS addresses these limitations by adding a layer of decision-making on top of existing sensing systems. Instead of collecting data continuously, the system evaluates incoming information and directs selected sensors to gather additional data when and where it is needed.
By adjusting sensor activity in real time, the system reduces unnecessary data collection, improves responsiveness, and makes more effective use of existing sensing infrastructure without requiring hardware replacement.
