Fleet Gateway Mode Switching for Low-Power Idle Tracking
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Solution Overview
Problem
Existing gateway systems for fleet management lack the ability to operate efficiently in multiple modes, leading to inefficient power consumption and potential failure to function after extended periods of inactivity.
Innovation Solution
The gateway system is designed to operate in multiple modes, including a full mode for data transmission and a hibernate mode for reduced power consumption, allowing it to adapt to changes in the mobile asset's state and power availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the gateway system operates continuously in full mode to maintain data transmission and location tracking, then data transmission reliability is improved, but power consumption increases and the system may fail after extended periods of inactivity
Solution Approach 1:
The gateway system dynamically transitions between full operational mode and hibernate mode based on detected conditions. The system monitors for periods of inactivity and automatically adjusts its operational state to optimize the balance between data transmission reliability and power consumption, rather than operating in a static mode.
Solution Approach 2:
The system implements periodic wake-up cycles from hibernate mode to perform data transmissions and location tracking, then returns to hibernate mode. This periodic operation allows the gateway to maintain essential functions while consuming minimal power during inactive periods, resolving the contradiction between continuous operation and power conservation.
2Use of energy by moving object
If the gateway system enters hibernate mode to conserve power during inactivity, then power consumption is reduced, but the system becomes unresponsive and may fail to function when needed
Solution Approach 1:
The gateway system incorporates feedback mechanisms that monitor both power conditions and activity states. When the system detects that it has been inactive for a predetermined period, it triggers a wake-up sequence that restores full functionality. This feedback-driven approach ensures the system responds appropriately to actual operational needs while maintaining power efficiency.
Solution Approach 2:
The system performs preliminary actions by entering hibernate mode after detecting inactivity, but maintains the capability to be quickly reactivated. The wake-up mechanism is pre-configured to restore full operational mode when specific conditions are met, ensuring the system is ready to function when needed without requiring full continuous operation.
3Reliability
If the gateway system remains active to ensure immediate responsiveness, then system reliability is improved, but the lifespan of external and internal power sources decreases
Solution Approach 1:
The gateway system dynamically adjusts its operational state based on detected inactivity periods. By transitioning from full operational mode to hibernate mode during inactive periods, the system significantly reduces power consumption while maintaining the ability to quickly resume full functionality when needed, thereby extending power source lifespan without permanently sacrificing reliability.
Solution Approach 2:
The system changes operational parameters by switching between different power consumption states. In full mode, the system operates with complete functionality; in hibernate mode, it reduces power consumption by disabling non-essential functions. This parameter change allows the system to extend power source lifespan while maintaining reliability through conditional full operation.
4Duration of action of stationary object
If the gateway system operates in multiple modes to optimize power consumption, then power source lifespan is extended, but device complexity increases
Solution Approach 1:
The gateway system implements dynamic mode transitions based on simple detectable conditions such as inactivity periods. The control logic monitors basic parameters and automatically switches between full mode and hibernate mode, managing complexity through condition-based automation rather than requiring complex manual or heuristic decision-making.
Solution Approach 2:
The system serves itself by automatically detecting when to transition between operational modes based on its own activity state. The gateway monitors its own inactivity periods and self-manages the transition to hibernate mode and subsequent wake-up, eliminating the need for external control complexity while extending power source lifespan.
Data Source
AI summary
A method is disclosed that includes the step of: responsive to determining, based on input data, that a gateway system is receiving power from a power source of a mobile asset and the mobile asset is not in-use, transitioning the gateway system from a first mode to a second mode, wherein transitioning comprises turning on a functionality of the gateway system that is turned off when the gateway system is operating in the first mode.