Cloud-Based Data Collection System for Deployed Devices
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Solution Overview
Problem
Existing systems lack an efficient method for remotely collecting and managing data from processor-based devices, such as vehicles, smartphones, and televisions, after they have been deployed, particularly in ensuring data security, privacy, and accurate data handling across multiple devices.
Innovation Solution
A cloud-based system that includes a black box service for administrative support, data pooling, and encryption, which coordinates with vehicle manufacturers or service providers to collect data from various sensors and devices using wireless links, applying specified security and privacy parameters, and pooling data for distribution to partners while ensuring billing and maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is collected remotely from deployed processor-based devices, then data accessibility and versatility are improved, but data security and privacy protection become more difficult to ensure
Solution Approach 1:
The patent introduces a service provider as an intermediary between device manufacturers and data requestors. The service provider receives requests, determines appropriate manufacturers, and coordinates data collection through manufacturer-specific services. This multi-layer intermediary structure enables remote data access while maintaining security through controlled access points and standardized protocols at each layer.
2Adaptability or versatility
If data collection specifications are defined after device deployment, then system adaptability is improved, but coordination complexity with multiple manufacturers increases
Solution Approach 1:
The patent segments the data collection system into independent manufacturer-specific services, each handling their own devices according to their own protocols. The service provider orchestrates these segmented services without requiring direct coordination between manufacturers. This segmentation allows flexible specification definition while reducing coordination complexity by eliminating direct manufacturer-to-manufacturer interactions.
3Quantity of substance
If multiple data collection sources are pooled together, then data quantity and utility are improved, but data management and validation complexity increase
Solution Approach 1:
The service provider acts as an intermediary that receives data from multiple manufacturer-specific services, validates it against standardized criteria, and pools it into a unified format. This intermediary layer handles the complexity of multi-source data management while presenting a simplified interface to requestors, enabling data pooling without proportionally increasing management complexity.
Data Source
AI summary
In accordance with some embodiments, information may be collected from processor-based devices after the processor-based devices have already been deployed. Moreover, in some cases, the information that is to be collected, the collection sources, and the handling of the data may be specified after the processor-based devices have already been deployed.