Field Device Update Scheduling for Battery-Aware Data Transmission
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Solution Overview
Problem
Electronic devices used by law enforcement officers and other field personnel face significant battery life depletion due to high energy consumption features like wireless communication and data recording, leading to frequent recharging needs and reduced operational time.
Innovation Solution
A system and method for managing high energy consumption features by implementing internal criteria to regulate update transmissions, such as location and recording updates, based on device activity levels, using a central server to optimize battery usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wireless communication and data recording features are enabled continuously, then real-time monitoring and communication capability is improved, but battery life is depleted faster
Solution Approach 1:
The system implements periodic action by transmitting device updates only at scheduled intervals rather than continuously. The central server manages update schedules that transmit data at optimized frequencies, reducing battery consumption while maintaining operational awareness. Field devices transmit updates periodically based on configured schedules, balancing real-time monitoring needs with battery life conservation.
2Loss of information
If update transmission frequency is increased, then real-time data synchronization is improved, but energy consumption increases
Solution Approach 1:
The system applies dynamics by adjusting update transmission frequencies based on actual device conditions and operational needs. The central server dynamically modifies update schedules according to device state, prioritizing critical data transmissions while delaying non-essential updates. This dynamic adjustment optimizes the balance between data synchronization accuracy and energy consumption.
Solution Approach 2:
The system changes parameters by modifying transmission intervals and update frequencies based on device conditions. The central server adjusts scheduling parameters dynamically, extending intervals when devices are stationary or non-critical, and reducing intervals when real-time data is essential. This parameter optimization reduces energy consumption while maintaining adequate data synchronization.
3Reliability
If continuous data transmission is performed, then operational awareness is improved, but battery depletion accelerates
Solution Approach 1:
The system extracts essential information by selectively transmitting only critical device update data rather than all available information continuously. The central server identifies and prioritizes essential operational data for transmission, while filtering out redundant or non-critical information. This extraction approach maintains operational awareness while significantly reducing energy consumption and battery depletion rate.
Data Source
AI summary
A field device is configured to determine whether a device update is to be transmitted to a central server. The field device determines a period of time between an update time and a previous update time and a set of device conditions associated with a user utilization of the field device. The field device utilizes at least one of the period of time and the set of device conditions to determine an update schedule for the field device. The update schedule is determined by the field device utilizing a set of internal criteria that the period of time and the set of device conditions are evaluated against. The field device generates a device update from the set of device conditions and the update schedule and transmits the device update to a central server. The field device, via the device update causes the central server to utilize the update schedule.