Scene-Based Component-Level Power Management for Portable Test Instruments
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Solution Overview
Problem
Providing adequate power to modular network test equipment is challenging due to varying power requirements of different modules and test applications, especially for battery-driven portable instruments that need a reliable, long-lasting power supply for field testing without recharging.
Innovation Solution
Implementing component-level, scene-based power management through analysis and validation of controllable hardware, software, and FPGA components, generating system-wide power management models to optimize power consumption by controlling identified components and combinations, using a scene-based framework for power control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If different modules and test applications are supported with varying power requirements, then adaptability and functionality are improved, but power management complexity increases
Solution Approach 1:
The power management system is segmented into a hierarchical structure with multiple levels: system-level power management, module-level power management, and component-level power management. Each level independently manages power for its specific scope, allowing the system to handle diverse power requirements of different modules and applications without overwhelming complexity at any single level.
Solution Approach 2:
The power management system dynamically adjusts power allocation and consumption based on real-time operational requirements. The scene-based framework enables the system to transition between different power states and operational modes, adapting power management strategies according to current test applications and module configurations.
2Duration of action of moving object
If battery capacity is increased to extend operation time, then duration of action is improved, but weight and size of the instrument increase
Solution Approach 1:
The system changes operational parameters dynamically to optimize power consumption. By adjusting clock frequencies, voltage levels, and operational modes based on current workload requirements, the system extends battery life without requiring a larger battery capacity, thus avoiding increased weight.
Solution Approach 2:
The scene-based power management framework implements periodic action by cycling through different operational scenes that balance performance and power consumption. The system alternates between high-performance modes and power-saving modes based on operational needs, extending the effective operation time from the battery without increasing its capacity or weight.
3Duration of action of moving object
If power consumption is reduced to extend battery life, then duration of action is improved, but operational performance may be compromised
Solution Approach 1:
The power management system dynamically adjusts operational parameters such as clock speeds, voltage levels, and processing frequencies based on current workload requirements. During low-power scenes, the system reduces these parameters to extend battery life, while during high-performance scenes, it increases these parameters to maintain operational reliability, thus balancing both objectives.
Solution Approach 2:
The system changes operational parameters adaptively to maintain performance while reducing power consumption. By adjusting critical parameters like CPU frequency, memory access speeds, and module operational states based on the current test application requirements, the system achieves extended battery life without compromising the reliability of critical operational functions.
Data Source
AI summary
Component-level, scene-based power management in a test instrument is provided by identifying controllable components; determining a power consumption of the identified controllable components; generating a system model based on the determined power consumption, where the system model includes scenes, each scene defining a list of controllable components and respective power states for the list of controllable components; selecting a plurality of scenes from the system model; and executing the selected scenes in the scene table at a runtime for the test instrument, where each scene is executed based on an operation mode of the test instrument.