Asset Tag Power Optimization via Telemetry-Driven State Control
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Solution Overview
Problem
Asset-tracking systems face high implementation costs and short battery lifespans due to power consumption issues, particularly in location-aware tags that require frequent signal reception and acknowledgement, leading to inefficient power usage and reduced lifespan.
Innovation Solution
Implementing power-saving asset tags that utilize telemetry data to enter appropriate power states, such as idle or burst modes, based on motion sensors and context, allowing for location-agnostic operation and secure configuration techniques, reducing the need for infrastructure and enhancing battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If location-aware tags continuously receive signals and report location data, then location tracking accuracy is improved, but power consumption increases and battery lifespan decreases
Solution Approach 1:
The tag operates in periodic cycles, alternating between active listening states and sleep states. Instead of continuously receiving and transmitting signals, the tag periodically wakes up to report location data and then returns to a low-power state, reducing overall power consumption while maintaining acceptable tracking accuracy
Solution Approach 2:
The tag dynamically adjusts its operational state based on activity detection. When motion is detected, the tag transitions to an active state for location reporting; when stationary, it enters sleep mode. This dynamic state adjustment optimizes the balance between location tracking accuracy and power consumption
2Reliability
If tags use two-way protocol with acknowledgements, then communication reliability is improved, but power consumption increases
Solution Approach 1:
The system uses selective acknowledgment where the infrastructure sends acknowledgements only when necessary, rather than responding to every single tag transmission. This partial action maintains communication reliability for critical data while reducing the power consumption associated with continuous two-way communication protocols
3Measurement precision
If infrastructure is installed for location tracking, then location awareness is improved, but implementation cost increases
Solution Approach 1:
The tag uses its own motion sensor to detect activity and autonomously determine when location reporting is necessary. This self-service capability eliminates the need for complex infrastructure to detect asset movement and trigger tracking, reducing implementation costs while maintaining location awareness
Solution Approach 2:
The location awareness function is extracted from the infrastructure and placed in the tag itself through onboard motion sensors and context processing. This extraction removes the dependency on expensive infrastructure for basic movement detection, allowing the infrastructure to focus only on receiving location reports
Data Source
AI summary
A technique for saving power in a tag that is operationally connected to an asset involves using telemetry data to enter an appropriate power state. An asset tracking system according to the technique can make use of context to better track assets to which power-saving tags are operationally connected. Secure tag configuration techniques and asset-agnostic tags are described. Location-agnostic tags are also described.