Hierarchical Sensor Data Storage for Power Asset Monitoring
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Solution Overview
Problem
Existing power system monitoring systems face memory storage challenges due to large amounts of sensor data, leading to impaired monitoring capabilities when only storing data at periodic intervals, causing important data to be missed.
Innovation Solution
A device and method that create a hierarchy of sensor data within a memory device, comprising a first tier for storing raw samples and a second tier for storing summaries, allowing for efficient storage and display of sensor data, enabling real-time updates and summaries without losing critical information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If sensor data is stored at periodic intervals to reduce memory consumption, then memory usage is reduced, but important sensor data may be missed or lost
Solution Approach 1:
The patent segments sensor data into two distinct categories: raw sensor data and summary data. Raw data is stored at predetermined intervals in a first portion of memory, while summary data (containing key information extracted from raw data) is stored in a second portion of memory. This segmentation allows the system to maintain reliable monitoring capabilities through summary data while controlling memory usage through selective storage of raw data.
2Reliability
If all sensor data is stored to ensure complete monitoring information, then monitoring capability is maintained, but memory consumption increases significantly
Solution Approach 1:
The patent extracts essential information from raw sensor data to create summary data. A processor analyzes raw sensor data and extracts key information (such as maximum values, minimum values, average values, or other significant characteristics) to generate condensed summary data. This extracted summary data is then stored in a separate portion of memory, allowing the system to maintain complete monitoring capability while significantly reducing the total memory required compared to storing only raw data.
3Loss of information
If sensor data is stored at frequent intervals to capture all important information, then data completeness is improved, but memory consumption increases
Solution Approach 1:
The patent changes the parameter of data representation by transforming detailed raw sensor data into condensed summary data with different characteristics. Instead of storing every raw data point at frequent intervals, the system stores summary statistics (such as peak values, trough values, or other critical parameters) that capture the essential information. This parameter transformation maintains data completeness for monitoring purposes while dramatically reducing memory consumption.
Data Source
AI summary
A device for use in monitoring operation of a system asset includes an interface for receiving sensor data representative of an operating condition of the system asset, a memory device for storing the sensor data, and a processor coupled to the interface and to the memory device. The processor is configured to create a hierarchy of sensor data within the memory device, wherein the hierarchy comprises a first tier and a second tier, store a first level of the sensor data in the first tier, and store a second level of the sensor data in the second tier.