Asset health monitors: development, sustainment, advancement
2011
Pacific Northwest National Laboratory (PNNL) has developed the Captive Carry Health Monitor Unit (HMU) and the
Humidity Indicator HMU. Each of these devices provides end users information that can be used to ensure the proper
maintenance and performance of the missile. These two efforts have led to the ongoing development and evolution of
the next generation Captive Carry HMU and the next generation Humidity Indicator HMU. These next generation
efforts are in turn, leading to the future of HMUs. This evolutionary development process inherently allows for direct
and indirect impact toward new HMU functionality, operability and performance characteristics by influencing their
requirements, testing, communications, data archival, and user interaction.
Current designs allow systems to operate in environments outside the limits of typical consumer electronics for up to or
exceeding 10 years. These designs are battery powered and typically provided in custom mechanical packages that
employ sensors for temperature, shock/vibration, and humidity measurements. The data taken from these sensors is then
analyzed onboard using unique algorithms. The algorithms are developed from test data and fielded prototypes.
Onboard data analysis provides field users with a simple indication of missile exposure. The HMU provides missile
readiness information to the user based on storage and use conditions observed.
To continually advance current designs PNNL evaluates the potential for enhancing sensor capabilities by improving
performance or power saving features, increasing algorithm and processing abilities, and adding new features. Future
work at PNNL includes the utilization of power harvesting, using a defined wireless protocol, and defining a
data/information structure. These efforts will lead to improved performance allowing the HMUs to benefit users with
direct access to HMUs in the field as well as benefiting those with the ability to make strategic and high-level supply and
inventory decisions in real-time.
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