Trupeer AI - Create professional product videos and guides

Harnessing Real-time Data with AVEVA PI System

Kanyin Ogunrinde
Oct 20, 2025

71 Views
0 Comments
0 Reactions
Loading video...

Harnessing Real-time Data with AVEVA PI System

This document outlines the process of utilizing the AVEVA PI System to effectively manage and leverage real-time data within the chemical industry. The PI System provides a comprehensive infrastructure approach to addressing industrial data management challenges by connecting, aggregating, and visualizing data across various sources.

Step 1

Begin by using the AVEVA PI System to establish a robust infrastructure for managing real-time data. This system connects to the various data sources present in the field or plant, providing an efficient solution to industrial data management challenges.

Screenshot

Step 2

Aggregate all the collected data into a unified location to eliminate data silos. Once centralized, enhance the data with additional context and facilitate its visualization using tools like PI Vision. PI Vision offers a detailed view of the manufacturing plant, enabling better decision-making.

Screenshot

Step 3

In discrete manufacturing, analyze metrics such as Overall Equipment Effectiveness (OEE), availability, performance, and quality. Assess downtime by examining instances of production line halts over a specific period. Utilize Power BI to extract and analyze data from the PI System for comprehensive insights.

Screenshot

Step 4

Use Power BI to conduct a stop reason analysis, tracking events related to production interruptions over time. Examine different production lines across various areas to identify patterns or areas of improvement.

Screenshot

Step 5

Customize your analysis by filtering data based on shifts or products, allowing for targeted insights into production efficiency.

Screenshot

Step 6

Perform OEE analysis by filtering data according to production lines, shifts, or specific time frames to obtain detailed performance metrics.

Screenshot

Step 7

Further refine your analysis by considering factors like production line, shift, or time period, gaining a comprehensive understanding of performance trends.

Screenshot

Step 8

Extend your analysis to cover broader timeframes, such as quarterly, biannual, or annual periods. The PI System enables quick and easy access to data with contextual understanding, ensuring informed decision-making.

Screenshot

U