Information Collection Device Data Link Storage Management
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Solution Overview
Problem
Existing techniques for storing vehicle image data uniformly set storage time limits based on position, time, and storage device capacity, leading to unnecessary data occupation and capacity tightening issues.
Innovation Solution
An information collection device with a similarity degree determination unit, request estimation unit, and time limit determination unit that assesses the similarity between acquired and stored data, estimates future requests, and sets storage time limits on a link-by-link basis to manage data effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If uniform storage time limit is set based on position information, time, and free space, then storage management is simplified, but unnecessary data occupies storage area and capacity tightening cannot be avoided
Solution Approach 1:
The patent segments the storage management approach by dividing data into groups based on similarity characteristics. Instead of applying a uniform storage time limit to all data, the system creates multiple data groups with different storage policies based on their similarity relationships, allowing differentiated management of storage resources.
Solution Approach 2:
The patent applies local quality by assigning different storage time limits to different data groups based on their specific characteristics. Each data group receives a customized storage policy tailored to its similarity relationships and estimated future requests, rather than a blanket uniform policy applied to all data.
2Ease of operation
If uniform storage time limit is applied to all data, then storage policy implementation is straightforward, but data that is not necessary for users occupies storage area
Solution Approach 1:
The patent performs preliminary actions by calculating similarity degrees and estimating future requests before setting storage time limits. The system proactively analyzes data characteristics and predicts future usage patterns, then pre-determines appropriate storage time limits for each data group based on this advance analysis.
Solution Approach 2:
The patent implements feedback mechanisms by continuously monitoring actual data access patterns and comparing them with estimated future requests. The system uses this feedback to refine similarity degree calculations and adjust storage time limits, ensuring that necessary data is retained while unnecessary data is removed.
3Reliability
If storage time limit is extended to retain all possible data, then data availability is improved, but storage capacity is wasted on unnecessary data
Solution Approach 1:
The patent changes the parameter of storage time limit from a fixed uniform value to a dynamic value that varies by data group. The system adjusts storage time limits based on similarity degree parameters and estimated future request parameters, optimizing the balance between data availability and storage resource utilization.
Data Source
AI summary
An object is to provide a technique capable of appropriately storing data. An information collection device includes a similarity degree determination unit configured to obtain a degree of similarity between acquired-data and saved-data and generate a link that associates the acquired-data and the saved-data based on the degree of similarity, a request estimation unit configured to generate a link that associates the saved-data when the saved-data is read, and estimate a future request for the saved-data, and a data life determination unit configured to determine a storage time limit of the saved-data on a link-by-link basis.