MCU S5 Power State Control via Sensor Monitoring
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Solution Overview
Problem
Computing systems in various power states face challenges in managing power delivery and behavior across different stages, particularly in ensuring safety and security from environmental factors like heat, humidity, and unauthorized peripherals, where existing power management systems are inadequate in preventing physical and logical failures.
Innovation Solution
A micro-control unit (MCU) embedded within the system, coupled with sensors and firmware, monitors system-related data to determine control actions, such as disabling power state changes or communication ports, to maintain system safety and security by comparing data against whitelists or blacklists and executing remedial actions based on detected conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the system allows power state changes to S5 for maximum power savings, then energy efficiency is improved, but system safety and security are compromised due to environmental hazards and unauthorized peripherals
Solution Approach 1:
The MCU performs preliminary monitoring of environmental conditions (temperature, humidity) and peripheral device identification before allowing transition to S5 power state. This preliminary action prevents unsafe state changes by checking conditions in advance, thus achieving both power savings and system safety.
Solution Approach 2:
The system continuously monitors environmental sensors and communication ports, providing feedback to the MCU about current system conditions. This feedback mechanism enables dynamic control of power state transitions, allowing S5 entry only when conditions are safe, thereby resolving the contradiction between power savings and safety.
2Reliability
If the system monitors environmental conditions and peripheral devices continuously, then system safety is improved, but power consumption increases
Solution Approach 1:
The MCU performs monitoring and control actions periodically rather than continuously. It checks environmental conditions and peripheral devices at specific intervals or trigger events, reducing power consumption while maintaining adequate system safety monitoring during critical transition periods.
Solution Approach 2:
The system uses a low-power MCU that can autonomously monitor sensors and make control decisions without requiring high-power processing. The MCU self-manages the monitoring tasks and power state control, minimizing overall power consumption while maintaining safety functions.
3Reliability
If the system blocks power state changes to prevent failures, then system reliability is improved, but power management flexibility is reduced
Solution Approach 1:
The system dynamically adjusts power state transitions based on real-time environmental conditions and system state. Rather than statically blocking or allowing transitions, the MCU makes adaptive decisions about whether to permit S5 entry, thus achieving both reliability and flexibility through dynamic control.
Solution Approach 2:
The system changes operational parameters (power state permissions) based on monitored conditions. When environmental conditions are safe and no unauthorized peripherals are detected, the system permits S5 transitions; when hazards are detected, it blocks transitions. This parameter adjustment resolves the contradiction between reliability and flexibility.
Data Source
AI summary
In an example implementation according to aspects of the present disclosure, a system, method, and storage medium comprising a plurality of sensors communicatively coupled to a microcontrol unit wherein the MCU operates while the system is in an S5 power state. While in the S5 power state, the MCU receives a system-related datum from one of the plurality of sensors. The MCU determines a control action based on the system-related datum and the MCU executes the control action on the system.