Wireless Device Data Maintenance via Vehicle Computing System
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Solution Overview
Problem
The increasing complexity of contact information management due to multiple communication addresses and the risk of data loss when cellular phones are lost or changed, as well as the inconvenience of manual backup processes, necessitates an automated solution for maintaining and updating wireless device data.
Innovation Solution
A computer-implemented method utilizing a vehicle computing system (VCS) to download, compare, and store data from wireless devices, resolve conflicts, and automatically update or replace invalid data elements by accessing social networking sites and email addresses, ensuring data consistency and availability across devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual backup processes are used (trip to store or wired connection to home-PC), then data can be backed up, but user convenience deteriorates and time is lost
Solution Approach 1:
The system enables automatic self-service backup by having the wireless device automatically connect to the vehicle computing system and transfer contact data without user intervention. The VCS automatically detects new devices, initiates data transfer, and maintains updated backups in the cloud, eliminating the need for users to manually initiate backup processes.
Solution Approach 2:
The system performs preliminary actions by pre-establishing the backup infrastructure through the vehicle computing system before data loss occurs. The VCS maintains a ready-to-use backup environment that automatically activates when a wireless device connects, ensuring backup capability is already in place rather than requiring user-initiated setup.
2Ease of operation
If data is stored only on the wireless device, then data accessibility is simple, but data loss risk increases when device is lost or ruined
Solution Approach 1:
The system creates and maintains multiple copies of contact data across different storage locations: the original wireless device, the vehicle computing system, and cloud storage. This multi-copy approach ensures that if one copy is lost, other copies remain accessible, maintaining both security and accessibility.
Solution Approach 2:
The vehicle computing system acts as an intermediary between the wireless device and cloud storage, facilitating automatic data transfer and synchronization. This intermediary layer provides a bridge that enables seamless backup without requiring direct user intervention or complex manual processes.
3Ease of operation
If automatic backup is implemented through vehicle computing system, then user convenience improves and time is saved, but system complexity increases
Solution Approach 1:
The vehicle computing system performs multiple functions: it serves as a backup storage device, a data synchronization hub, and a cloud connectivity interface. By consolidating these functions into a single platform, the system reduces overall complexity compared to having separate manual backup processes and cloud integration mechanisms.
4Adaptability or versatility
If multiple communication addresses are maintained, then communication versatility improves, but data management complexity increases
Solution Approach 1:
The system automatically manages multiple communication addresses by detecting changes in contact information and updating all stored copies across the wireless device, vehicle computing system, and cloud storage without user intervention. This self-service approach handles the complexity of multi-address management transparently.
Data Source
AI summary
A computer-implemented method includes downloading data elements from a wireless device. The method includes determining whether a user account exists in storage and determining whether the user account currently has stored data elements of the same type as the downloaded data elements associated therewith. The method further includes comparing the downloaded data elements to the stored data elements. This method also includes storing any downloaded data elements not currently existing in the data elements associated with the user account and not in conflict with data elements associated with the user account. The method further includes resolving conflicts between downloaded data elements and currently existing data elements, to establish which of the conflicting elements is representative of a proper version of the element. Finally, the method includes storing the proper version of the element resulting from each conflict resolution.