Adaptive Tracking Firmware for Battery-Aware Location Updates
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Solution Overview
Problem
Existing tracking systems fail to provide users with the ability to view remaining battery power and switch modes to vary transmission frequency, leading to inefficient battery life management in tracking devices.
Innovation Solution
A system with a tracking device that includes a sensor, software application, firmware, and display to determine and adjust transmission frequency based on location and movement, and display battery life, featuring modes like sleep, monitor, locate, and emergency to optimize battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the tracking device transmits data at high frequency to provide accurate location tracking, then location tracking accuracy is improved, but battery life deteriorates
Solution Approach 1:
The system dynamically adjusts transmission frequency based on real-time conditions such as geofence status, movement detection, and battery level. The firmware modifies transmission intervals adaptively, switching between high-frequency transmission when precision is critical (outside geofence, moving) and low-frequency transmission when precision requirements are reduced (inside geofence, stationary), thereby resolving the contradiction between tracking accuracy and battery consumption
Solution Approach 2:
The system changes the transmission frequency parameter based on operational context. When the tracked object is within a geofence or stationary, transmission frequency is reduced to conserve battery. When outside geofence or in motion, frequency increases to maintain tracking accuracy. This parameter adaptation allows the system to optimize the balance between location precision and power consumption
2Duration of action of moving object
If the tracking device transmits data at low frequency to conserve battery power, then battery life is improved, but location tracking accuracy deteriorates
Solution Approach 1:
The system dynamically adjusts transmission frequency based on real-time conditions such as geofence status, movement detection, and battery level. The firmware modifies transmission intervals adaptively, switching between high-frequency transmission when precision is critical (outside geofence, moving) and low-frequency transmission when precision requirements are reduced (inside geofence, stationary), thereby resolving the contradiction between tracking accuracy and battery consumption
Solution Approach 2:
The system changes the transmission frequency parameter based on operational context. When the tracked object is within a geofence or stationary, transmission frequency is reduced to conserve battery. When outside geofence or in motion, frequency increases to maintain tracking accuracy. This parameter adaptation allows the system to optimize the balance between location precision and power consumption
3Productivity
If the tracking device provides frequent transmissions to monitor asset location continuously, then location monitoring capability is improved, but power consumption increases
Solution Approach 1:
The system dynamically adjusts transmission frequency based on real-time conditions such as geofence status, movement detection, and battery level. The firmware modifies transmission intervals adaptively, switching between high-frequency transmission when precision is critical (outside geofence, moving) and low-frequency transmission when precision requirements are reduced (inside geofence, stationary), thereby resolving the contradiction between tracking accuracy and battery consumption
Solution Approach 2:
The system changes the transmission frequency parameter based on operational context. When the tracked object is within a geofence or stationary, transmission frequency is reduced to conserve battery. When outside geofence or in motion, frequency increases to maintain tracking accuracy. This parameter adaptation allows the system to optimize the balance between location precision and power consumption
Data Source
AI summary
Systems and methods of tracking objects, including a sensor configured to detect data related to one or more attributes of the object, a tracking device attachable to the object to transmit data detected by the sensor, a software application modifiable by a user to receive transmitted data from the tracking device according to a frequency of data transmissions selected by the user, including firmware within a chip on the tracking device configured to determine a frequency of data transmissions from the tracking device to the software application based on instructions related to characteristics of transmitted data, wherein the instructions are modifiable by the user based on the characteristics of transmitted data.


