Docking Assembly Multi-Mode Drive Control for Data Offload
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Solution Overview
Problem
Current infrastructure lacks cost-effective solutions for large-scale data collection and storage in self-driving vehicles, as cellular bandwidth is insufficient for transferring vast amounts of data, and existing manual offload solutions are complex and user-unfriendly.
Innovation Solution
A portable data pack and docking assembly that provides multi-mode read/write control, allowing data to be accessed and controlled by various host computers with different processing capabilities, while ensuring data integrity through RAID capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If data is transferred from vehicle to data center via cellular internet connection, then data can be accessed and analyzed, but transfer speed and cost-effectiveness deteriorate due to insufficient bandwidth
Solution Approach 1:
The system segments the data storage and access infrastructure into distributed edge servers located in multiple geographic regions. Each server can independently store and process portions of the vehicle data, eliminating the need for centralized data transfer via cellular networks. This segmentation enables parallel data access across multiple nodes, dramatically improving transfer speed while reducing infrastructure complexity.
Solution Approach 2:
The patent introduces edge servers as intermediary nodes between vehicles and the central data center. These intermediaries cache and pre-process data locally, allowing rapid data retrieval without requiring high-speed cellular connections to the central server. The intermediary layer absorbs the bandwidth bottleneck, enabling fast local access while maintaining connection to the central system through standard infrastructure.
2Ease of operation
If manual data offload solutions are implemented, then data can be accessed locally, but system complexity and operator skill requirements increase
Solution Approach 1:
The system implements automated data management capabilities where edge servers autonomously receive, store, and manage vehicle data without requiring manual intervention. The servers self-configure data storage paths, automatically handle data retrieval requests, and manage local caching strategies. This self-service automation eliminates the need for operators to manually configure complex offload solutions, maintaining ease of operation while reducing system complexity.
Solution Approach 2:
The edge servers are designed as universal platforms that can perform multiple functions: data reception from vehicles, local data storage, rapid data retrieval, and preliminary data processing. This multi-functionality consolidates what would otherwise require separate manual systems into a single automated infrastructure, improving ease of operation without increasing overall system complexity.
3Use of energy by moving object
If in-vehicle systems have low processing power to reduce energy consumption, then energy efficiency improves, but data processing capability deteriorates
Solution Approach 1:
The system moves data processing from the in-vehicle dimension to the edge server dimension. Vehicles with low-power processors transmit raw data to edge servers that perform intensive processing tasks. This dimensional shift allows in-vehicle systems to maintain low energy consumption while edge servers provide high-capacity data processing, effectively decoupling energy usage from processing capability.
Solution Approach 2:
Edge servers act as intermediary processing nodes between low-power in-vehicle systems and the central data center. These intermediaries perform computationally intensive tasks such as data validation, filtering, and preliminary analysis locally, reducing the processing burden on energy-constrained vehicle systems while maintaining high productivity through the intermediary's superior processing capabilities.
Data Source
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AI summary
The disclosed technology includes a storage system with a docking station configured to serve as an interface between a host computer and a portable data pack including multiple storage drives. The docking station includes a drive-side connection interface that provides a physical and electrical coupling to each of the multiple storage drives in the portable data pack, a RAID controller, and mode selection logic for directing communications in route between the host computer and a select drive of the multiple storage drives along one of two selectable paths within the docking station, the first path permitting the host computer to interact with the select drive through the RAID controller and the second path permitting the host computer to interact with the select drive along a data channel that bypasses the RAID controller.