Data Analysis System for Storage Optimization
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Solution Overview
Problem
The large volume of data acquired by data acquisition devices in electronic devices poses challenges in storing this data in limited storage spaces, particularly due to the need to differentiate between discrete and continuous data and determine state changes in electronic devices.
Innovation Solution
A computing device with a data analysis system that determines whether acquired values are discrete or continuous, storing only differing values, and for continuous data, identifies state changes and stores values accordingly, optimizing storage by discarding unnecessary data and calculating average values when states remain constant.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all acquisition values are stored in the storage system, then complete data record is maintained, but storage space is quickly consumed
Solution Approach 1:
The patent extracts and stores only the essential information (state changes) from the acquisition data, rather than storing all raw data. The data analysis system identifies and extracts only those data points where the electronic device transitions between different states, discarding redundant data points where the state remains unchanged.
Solution Approach 2:
The patent changes the parameter being stored from raw acquisition values to derived state information. Instead of storing the actual acquisition values (temperatures, voltages, etc.), the system stores the inferred states (working state, idle state, error state, etc.), which are abstracted parameters that capture the essential meaning of the data.
2Quantity of substance
If discrete data storage method is used for all data types, then storage efficiency is improved, but continuous data state changes are not properly captured
Solution Approach 1:
The patent applies different storage strategies to different data types based on their local characteristics. For discrete data, it uses the differencing method (storing only when values change). For continuous data, it uses state-based storage (storing when inferred states change). This localized adaptation to data type characteristics optimizes storage for each category.
Solution Approach 2:
The patent introduces dynamic state inference for continuous data, where the system adaptively determines states based on acquisition values and stores data based on state transitions rather than absolute value changes. This dynamic approach allows the system to capture meaningful information from continuous data streams while maintaining storage efficiency.
Data Source
AI summary
In a method for analyzing acquisition values of an electronic device using a computing device, the computing device receives an acquisition value of the electronic device acquired by a data acquisition device. If the acquisition value is discrete data and the acquisition value is different from a previous acquisition value of the electronic device, the acquisition value is stored into a storage system. If the acquisition value is the continuous data and a first state corresponding to the acquisition value is different from a second state corresponding to a previous acquisition value of the electronic device, the acquisition value is stored into the storage system.