Datalogger Energy Reduction via Dynamic Sampling and Update Intervals
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Solution Overview
Problem
Datalogger devices face challenges in managing energy consumption while maintaining vigilant oversight, particularly with battery-powered devices that experience reduced sampling rates and alarm delays due to limited battery life, especially in cloud-based systems where frequent updates are energy-intensive and may not occur during sleep periods.
Innovation Solution
Implementing an algorithm on the datalogger device that adjusts sampling and update intervals dynamically, shortening update intervals during alarm conditions to conserve battery life while maintaining high sampling rates, and returning to normal intervals when the alarm is cleared, allowing for more frequent updates during emergencies and less frequent updates during normal conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cloud-based dataloggers frequently upload data to servers, then real-time monitoring capability is improved, but energy consumption increases and battery life decreases
Solution Approach 1:
The patent implements dynamic adjustment of upload intervals based on alarm conditions. During normal operation, the device uses extended update intervals to conserve energy. When an alarm condition is detected, the system dynamically shortens the upload interval to provide real-time monitoring. This dynamic adaptation resolves the contradiction by matching the monitoring frequency to the actual operational needs rather than using a fixed high-frequency approach.
Solution Approach 2:
The system changes the time parameter (upload interval) based on operational state. The algorithm adjusts the upload interval from a normal extended value to a shortened value during alarm conditions, and vice versa. This parameter change allows the system to maintain real-time monitoring capability when needed while minimizing energy consumption during normal operation.
2Duration of action of moving object
If dataloggers reduce sampling rates to conserve battery, then battery life is extended, but alarm detection delay increases
Solution Approach 1:
The sampling rate is made dynamic rather than static. During normal operation, the device uses reduced sampling rates to extend battery life. When an alarm condition is detected, the system immediately increases the sampling rate to ensure timely alarm detection and notification. This dynamic adjustment resolves the contradiction by adapting the sampling rate to the operational context.
Solution Approach 2:
The system performs preliminary actions by continuously monitoring for alarm conditions even at reduced sampling rates. The algorithm is pre-configured to detect alarm conditions and immediately trigger high-frequency sampling and upload, ensuring that alarm detection delay is minimized while maintaining extended battery life during normal operation.
3Use of energy by moving object
If dataloggers use extended update intervals during normal conditions, then energy consumption is reduced, but responsiveness to alarm conditions may be delayed
Solution Approach 1:
The update interval is dynamically adjusted based on alarm conditions. During normal operation, extended update intervals are used to minimize energy consumption. Upon detecting an alarm condition, the system immediately switches to shortened update intervals to ensure rapid transmission of alarm information to the server, thus maintaining responsiveness while conserving energy during normal states.
Solution Approach 2:
The system uses feedback from alarm condition detection to adjust the update interval. The algorithm continuously monitors for alarm conditions and uses this feedback to switch between extended and shortened update intervals. This feedback mechanism ensures that the system remains responsive to alarm conditions while optimizing energy consumption during normal operation.
Data Source
AI summary
A system for reducing energy consumption of datalogger devices while maintaining high sampling rate and real time alarm function is provided. The system comprises a datalogger device, an algorithm stored in the datalogger device, and an application stored in the datalogger device that when executed implements a regular high sampling interval and extended server update interval for non-emergency situations and based on detection of an alarm, implements an emergency state. Based on the implementation, the application sends an immediate alert to the server, maintains the high sampling rate, shortens update interval in accordance with at least algorithm processing of inputs, continues updating on the shortened interval based at least on continued algorithm processing, determines, based on at least one change in alarm activity, to exit the emergency state, and returns to the extended update interval.


