Substation Intelligence System Data Segmentation

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

The electric utility industry faces challenges in effectively organizing and analyzing large volumes of operational and non-operational data from various assets and monitoring equipment in substation environments, making it difficult to optimize maintenance, repair, and replacement processes.

Innovation Solution

A substation intelligence system that includes a field device interface, a computer-readable memory, and a substation computer, which uses data from disparate sources to perform monitoring and diagnostic functions, generating virtual device data for storage and analysis, and communicates results to SCADA or enterprise systems.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If large volumes of operational and non-operational data are collected from various assets and monitoring equipment, then the value for monitoring and analyzing substation operation increases, but the difficulty of organizing and analyzing the data increases

Engineering Contradiction:
Improvedata valueVSAvoiddata organization complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent segments the large volume of substation data into distinct operational data and non-operational data categories, with further subdivisions into equipment condition information, analytical data, and ambient condition information. This segmentation allows the system to organize and analyze different data types using appropriate methods, reducing the overall complexity of data management while preserving the full value of collected information

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary data processing layer that sits between data collection from field devices and the final analysis system. This intermediary layer standardizes and structures the diverse data formats from multiple sources, transforming raw data into organized information that can be efficiently analyzed without losing valuable insights

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If comprehensive monitoring and diagnostic functions are implemented, then maintenance and repair optimization improves, but system complexity increases

Engineering Contradiction:
Improvemaintenance optimizationVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent implements a universal monitoring and diagnostic system that handles multiple functions through integrated components. The system simultaneously performs data collection, data organization, condition monitoring, diagnostic analysis, and maintenance scheduling across various substation assets using a common platform, reducing overall system complexity compared to implementing separate specialized systems for each function

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The monitoring and diagnostic system is designed to automatically analyze equipment condition data and generate maintenance recommendations without requiring constant human intervention. The system self-manages data processing, identifies equipment issues, and provides actionable insights, reducing the operational complexity of managing comprehensive monitoring functions

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS7558703B2Electrical substation monitoring and diagnostics
Publication Date: 2009.07.07 HITACHI ENERGY LTD
  • US7558703B2 patent drawing
  • US7558703B2 patent drawing
  • US7558703B2 patent drawing

AI summary

A substation intelligence system (104) includes a substation computer (105) which is operatively connected to a plurality of field devices (102) through an input/output subsystem (204). Data indicative of the devices is stored in a substation database (208). Advanced monitoring and/or diagnostics (107) use information from the database to perform various monitoring and/or diagnostic functions.