Remote Equipment Tracking With Secure Usage and Location Data
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Solution Overview
Problem
Existing methods for tracking device usage and location lack the necessary detail and security to ensure the condition of equipment, especially in rental or shared scenarios, leading to inadequate decision-making about maintenance and theft detection.
Innovation Solution
A method involving a monitored device providing a unique ID at bootup, authenticated via OAUTH2, which records and transmits location and usage data to a remote computing device for management, including machine learning for data analysis and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a device is simply signed for by operators, then the equipment can be delivered and tracked at a basic level, but the level of detail needed to ensure equipment conditions and detect theft is insufficient
Solution Approach 1:
The tracking system is segmented into multiple independent components: a monitoring application on the monitored device, a remote computing device for data reception, and a database for storage. This segmentation allows the system to collect detailed location and usage data without requiring a single complex centralized system, thereby improving tracking precision while managing system complexity through modular architecture
Solution Approach 2:
A unique identifier acts as an intermediary between the monitored device and the remote computing device. This intermediary enables automatic device identification and association without requiring manual signing procedures, allowing detailed tracking information to be automatically linked to specific devices while simplifying the user interaction process
2Loss of information
If location and usage data are collected and transmitted periodically, then detailed tracking information is obtained, but data security and management complexity increase
Solution Approach 1:
The monitoring application is pre-configured with the device's unique identifier and authentication credentials before deployment. This preliminary setup enables automatic authentication and secure data transmission from the outset, ensuring data security is established before any tracking data is collected or transmitted, while reducing the complexity of ongoing security management
Solution Approach 2:
The system implements a feedback mechanism where the remote computing device receives periodic location and usage data, processes it through secure authentication protocols, and stores it in a structured database. This feedback loop ensures data integrity and security through verified transmission channels while managing complexity through automated processing and storage protocols
3Reliability
If usage metrics are collected to determine equipment condition, then maintenance decisions can be informed, but the system requires sophisticated data collection and analysis capabilities
Solution Approach 1:
The monitored device automatically collects its own usage metrics including operational status, location data, and performance information through the monitoring application. This self-service approach enables the device to generate detailed usage reports without requiring external sensors or manual data collection, improving equipment condition assessment while minimizing the complexity of the data collection infrastructure
Solution Approach 2:
Manual equipment inspection and data collection methods are replaced with automated electronic data gathering and transmission. The monitoring application automatically captures usage metrics and transmits them to the remote computing device, substituting mechanical inspection processes with digital automation, thereby improving reliability of condition assessment while managing complexity through software-based solutions
Data Source
AI summary
Methods, devices, and systems for tracking remote equipment utilization of, for example, mobile computing devices, by managing received location information data and device usage data at a remote computing device, where the managing includes determining whether to store the received location information data and device usage data and whether to delete previously received location information data and device usage data associated with monitored device.