Power Distribution Network Event Analysis Using Normalized Data

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Solution Overview

Problem

Power distribution networks face challenges in correlating and analyzing diverse data sources to determine the causes of events such as blackouts, as existing methods require manual correlation of data from various formats, which is inefficient and time-consuming.

Innovation Solution

A system and method for power distribution network analysis that includes receiving data from multiple sources, filtering and normalizing it, storing it in an event database, and using a querying engine to retrieve and analyze the data, enabling correlation and visualization of events across different parameters and time frames.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If manual correlation methods are used to analyze data from multiple sources, then data can be collected from various formats, but the process becomes time-consuming and inefficient

Engineering Contradiction:

Improveability to handle multiple data formatsVSAvoidtime required for data correlation

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The patent applies preliminary action by pre-processing and normalizing data from multiple sources before analysis. The system establishes a standardized data structure in advance that automatically accommodates various data formats, eliminating the need for time-consuming manual correlation during event analysis. Data is transformed into a common format during ingestion, preparing it for rapid querying and analysis.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent introduces an intermediary layer (normalization layer) that mediates between diverse data sources and the analysis engine. This intermediary automatically transforms and standardizes data from different formats into a unified structure, enabling efficient analysis without manual intervention. The normalization layer acts as a buffer that handles format conversion transparently.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If data from multiple sources is collected and analyzed, then more comprehensive event analysis is achieved, but system complexity increases

Engineering Contradiction:

Improveaccuracy of event cause determinationVSAvoidcomplexity of data integration system

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent applies segmentation by dividing the data integration system into distinct modular layers: data collection layer, normalization layer, storage layer, and analysis layer. Each layer handles specific functions independently, reducing overall system complexity while maintaining comprehensive data analysis capability. The segmentation allows each component to be optimized and managed separately.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent implements universality through a standardized data structure and normalization layer that can handle multiple data sources and formats through a single interface. This universal approach eliminates the need for separate processing paths for different data types, reducing system complexity while maintaining the ability to analyze comprehensive event data from diverse sources.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Ease of manufacture

If diverse data sources are integrated without normalization, then data collection is simpler, but data correlation and analysis become difficult

Engineering Contradiction:

Improveease of data collectionVSAvoidease of data correlation

Core Design Contradiction:

Ease of manufactureVSEase of operation

Solution Approach 1:

The patent applies preliminary action by performing data normalization during the data collection phase rather than during analysis. The system automatically transforms incoming data from various sources into a standardized format immediately upon ingestion, making subsequent correlation and analysis operations straightforward. This preliminary standardization eliminates the need for complex manual correlation later.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent introduces a normalization layer as an intermediary between data collection and analysis operations. This intermediary automatically handles the transformation of diverse data formats into a unified structure, maintaining ease of data collection while greatly simplifying data correlation. The normalization layer transparently manages format conversion, making the system easy to operate despite handling diverse sources.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS9484743B2Power distribution network event analysis using data from different data sources

Publication Date: 2016.11.01 GE DIGITAL HLDG LLC

AI summary

A method for power distribution network analysis includes receiving power distribution network event data from a plurality of data sources, filtering the power distribution network event data, normalizing the power distribution network event data, storing the power distribution network event data in an event database and retrieving, in a querying engine, the power distribution network event data.