Vehicle Data Distribution Storage via Cluster Node Segmentation
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Solution Overview
Problem
Surveillance cameras in transportation means face challenges in managing video data, particularly when the vehicles are in motion and do not return to a garage in time, leading to potential data loss due to storage capacity limitations.
Innovation Solution
A data distribution storing method and system that utilizes a cluster of nodes to distribute and store image data from vehicle storage, allowing for backup across multiple devices, with the option to add more backup devices and store data separately on a server, ensuring stability and security even if a backup device fails.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If video data is stored in a single storage device installed in transportation means, then storage capacity is limited, but system complexity is low
Solution Approach 1:
The patent divides the storage system into multiple segments: vehicle-mounted storage, gateway storage, and cloud storage. Video data is segmented and distributed across these different storage locations, allowing the system to overcome the capacity limits of any single device while maintaining manageable complexity through clear division of responsibilities.
Solution Approach 2:
The patent transitions from a single-dimension storage approach (one device) to a multi-dimensional storage architecture involving multiple devices across different locations (vehicle, gateway, cloud). This dimensional expansion allows the system to achieve much larger effective storage capacity without proportionally increasing complexity at any single point.
2Reliability
If manual storage method is used when transportation means returns to garage, then storage process is simple, but data may be lost when vehicle does not return to garage
Solution Approach 1:
The system implements automatic video data transfer and storage without requiring manual intervention. When the vehicle returns to the garage, the gateway automatically retrieves video data from the vehicle-mounted storage and transfers it to the cloud storage, eliminating the need for manual operations while ensuring data security through automated redundancy.
Solution Approach 2:
The patent establishes backup storage capacity in advance at both the gateway and cloud levels. Before data loss can occur, the system has pre-configured alternative storage locations ready to receive and preserve video data, ensuring reliability without requiring complex real-time decision-making or manual intervention.
3Reliability
If video data is remotely stored using wireless network, then data loss is prevented, but bandwidth consumption is high
Solution Approach 1:
The patent implements selective data transfer where only necessary video data is transmitted via wireless network. The system first utilizes local storage capacity at the vehicle and gateway levels, then only transfers data to cloud storage when local capacity is insufficient or when the vehicle returns to the garage, reducing overall bandwidth consumption while maintaining data preservation reliability.
Data Source
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AI summary
There is provided a data distribution storing method including: recognizing, by a cluster manager managing a cluster of a plurality of nodes, a vehicle storage installed in a vehicle; transmitting, by the cluster manager, a vehicle index request including identification information about the vehicle storage to an index server; receiving, by the cluster manager, a first vehicle index including information about a first time section during which first vehicle data is recorded in the vehicle storage from the index server; selecting, by the cluster manager, a node from the cluster; transmitting, by the vehicle storage, second vehicle data recorded in the vehicle storage during a second time section which is after the first time section, to the node; generating, by the cluster manager, a second vehicle index based on the first vehicle index and information about the second time section and the node.