Real-time Sample Tracking via Offline Mobile Caching
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Solution Overview
Problem
Current methods for monitoring and tracking environmental samples, such as water and soil samples, lack efficient and reliable systems for managing collection, processing, and tracking changes over time, especially in remote areas with limited connectivity.
Innovation Solution
A sampling system utilizing mobile devices and processors that obtain activity definitions with sampling parameters, transmit data, and update databases with sample statuses and geographic locations, enabling real-time tracking and caching for offline use with subsequent cloud uploads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time tracking of samples is implemented using mobile devices and cloud systems, then monitoring reliability and data accuracy are improved, but system complexity and infrastructure requirements increase
Solution Approach 1:
The patent introduces a sampling system as an intermediary layer between mobile devices and the cloud database. This sampling system manages the complexity of real-time tracking by handling data normalization, validation, and coordination between mobile devices and cloud infrastructure, thereby improving reliability without directly exposing system complexity to end users
Solution Approach 2:
The system implements feedback mechanisms where sample status updates, location changes, and collection confirmations are continuously transmitted from mobile devices to the cloud database and back. This feedback loop ensures data accuracy and tracking reliability by maintaining synchronized information across all system components
2Adaptability or versatility
If offline capabilities are added to mobile devices for sample collection in remote areas, then operational versatility is improved, but device complexity and data synchronization challenges increase
Solution Approach 1:
The system performs preliminary actions by pre-configuring mobile devices with sampling protocols, forms, and offline data storage capabilities before field deployment. Sample collection parameters and procedures are pre-loaded onto mobile devices, enabling them to function autonomously in remote areas without continuous cloud connectivity
Solution Approach 2:
The system segments functionality between mobile devices and cloud infrastructure. Mobile devices handle local data collection, storage, and basic processing offline, while the cloud system manages data aggregation, analysis, and long-term storage. This segmentation allows offline operation while managing device complexity through functional distribution
3Loss of information
If continuous data transmission from mobile devices to cloud is implemented, then data currency and monitoring effectiveness are improved, but energy consumption and network dependency increase
Solution Approach 1:
The system implements periodic data transmission instead of continuous streaming. Mobile devices transmit sample status updates, location information, and collection data at scheduled intervals or when significant status changes occur. This periodic action maintains data currency in the cloud database while significantly reducing energy consumption compared to continuous transmission
Data Source
AI summary
Disclosed are systems, methods, and devices for managing mobile devices used while collecting samples and capturing auxiliary data in the field. A sampling system may provide at-a-glance information on sample statuses, help with scheduling, and track locations of mobile devices. Locations may be obtained from lower-level software than a mobile application running on the mobile devices, so as to help ensure compliance. A mobile device may provide a mobile application that provides sample status in real-time and helps with the capture of data even without a network connection that enables uploading to a server. Because locations may be detected via satellites without requiring a network connection, the locations of devices are more reliable.