Soldier PAN Middleware Messaging for Low-Latency Power Prediction

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Solution Overview

Problem

Existing soldier-ported power tracking systems using Android OS-based processors suffer from slow information update speeds due to technological limitations, leading to latency in information flow and inaccurate power predictions.

Innovation Solution

A middleware messaging system that communicates live power data between components of a soldier-ported personal area network (PAN), including a power application on an end-user device that tracks power usage, generates alerts, and uses historical data for more accurate runtime predictions by filtering relevant data based on mission conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If Android OS-based processors are used for power tracking, then the system can operate with standard mobile technology, but information update speed becomes slow due to technological limitations

Engineering Contradiction:
Improvecompatibility with standard mobile technologyVSAvoidinformation update speed
Core Design Contradiction:
Adaptability or versatilityVSSpeed

Solution Approach 1:

The patent introduces a middleware layer that sits between the Android OS and the power tracking application. This middleware pre-processes and structures power-related data before it reaches the application, enabling faster access and processing without requiring changes to the underlying Android processor architecture. The middleware acts as an intermediary that optimizes data flow and reduces processing delays.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Loss of information

If power data is gathered individually from each power device, then complete power information can be collected, but latency occurs in information flow

Engineering Contradiction:
Improvecompleteness of power informationVSAvoidlatency in information flow
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The patent merges individual power data streams from multiple power devices into a unified data structure at the middleware level. Instead of processing each device's data separately and sequentially, the middleware aggregates all power-related information into a single standardized format that can be processed more efficiently, reducing overall latency while maintaining complete power information.

Inventive Principle:
Principle #5Merging (Combining)

3Productivity

If predictions are generated based on designed performance characteristics, then power predictions can be made, but accuracy is reduced compared to actual field performance

Engineering Contradiction:
Improveability to generate power predictionsVSAvoidaccuracy of power predictions
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The patent implements a feedback mechanism where actual field power consumption data is continuously collected and used to refine and update performance models. The system compares predicted power usage with actual measurements, learns from discrepancies, and adjusts future predictions accordingly. This feedback loop progressively improves prediction accuracy by replacing theoretical design characteristics with empirically validated field performance data.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20230367284A1Power tracking using a soldier network middleware system
Publication Date: 2023.11.16 GALVION LTD
  • US20230367284A1 patent drawing
  • US20230367284A1 patent drawing
  • US20230367284A1 patent drawing

AI summary

A power tracking system includes a power application that receives live power data from multiple power devices that are operably connected to a personal area network (PAN) during operation of the PAN. The system stores the live power data and uses historical power data that includes previously collected live power data corresponding to the multiple power devices that was collected during previous operations to generate prediction data, including a predicted runtime of the PAN. The live power data and prediction data are displayed to a user on a user interface and is used by components of the system to model and predict power requirements and power usage of the PAN components.