Here are the links to each group and a couple of new threads for you to see if you want to join!
Let us know if you have any questions!
As universities continue to reduce energy consumption on their campus facilities, buildings are getting "smarter", due to the deployment of IoT (Internet of Things) power consumption sensors and improved analytics using meter and building automation system (BAS) data. That's good for everyone. In the past few years, the PI System has also been used to monitor energy usage at Major League Baseball stadiums and ice quality at NHL hockey arenas. Here's just a few of the use cases:
Recent article on smarter stadiums: How the smart stadium will transform the smart city
Short video on MLB's San Diego Padres vision for monitoring Petco Park: OSIsoft: San Diego Padres & SDG&E: A Community System Story - YouTube
Short video about the NHL's Minnesota Wild and their journey to improve playing ice quality: The Minnesota Wild on Better Data, Better Communication, Better Ice - YouTube
These PI AF Example XMLs/Templates are meant to provide you with an idea of how you could use PI AF in your PI System to monitor important conditions within your facilities with regards to energy management. We hope that you will use the XMLs as a starting point for building out your own hierarchies and implementing your own analyses.
This is a Midstream Deck used in the O&G City tour and contains some excellent use cases and Midstream overview. You can view or download the powerpoint.
This paper describes an enterprise-level architecture for the PI System in the Life Sciences industries.
We will be operating thermal storage tank for a chiller plant located at Bethesda, Maryland. We would like to download the real-time and forecasting electricity rate from PJM - Home website and save them in the future PI tag. This will help us to decide the operational strategy.
This document is intended to be a comprehensive guide to calculate the heat-rate and other controllable loss parameters for a fossil steam generating unit. Most of the pertinent calculations are explained and presented in a form where they can be implemented using PI Asset Analytics. Some useful industry rule-of-thumb guidelines are applied in calculations to quickly determine the heat-rate effects of various deviations. However, note that particular heat-rate effect calculations can vary by unit design and should be performed using the parameters in the thermal performance kit provided by the turbine manufacturer for a particular plant to be most accurate.
This OSIsoft AF example spreadsheet will assist in your building of an AF mill-wide model. The goal is to have you answer questions about your mill assets and from your answers, an AF structure will be created. We have included some “typical” PI Point suggestions for most of the equipment types found in a P&P mill. Once the AF structure is created on your AF System, you can then map the suggested points to PI tags you might have in your system.
The T&D Users Group met on Sept 14-16, 2016 in Scottsdale, AZ for two days of great talks and presentations. You can see all the presentations here, including:
In this example kit, haul trucks, used in mining and other industries, are monitored for standard performance metrics, such as location, fuel consumption, tire pressure, and engine status. For more details on how PI AF is used for truck monitoring, see the video on PI Square: Introduction to the Asset Based PI Example Kit - Mobile Asset Performance Monitoring.
A data-driven logistics strategy helps ArcelorMittal Meet increased Production Targets. "We need to bridge the gap between operations and business systems. [When] an operator on the shop floor actually knows how he's contributing to the bottom line, pretty amazing things begin to happen."
How does your company handle Big Data and Forecasting currently?
Would you be interested in participating in a Data Science initiative, involving PI and Machine Learning in order to forecast Water Demand, Reduce Leakage, optimize your Energy Management etc ?
Let us know your thoughts!
I was wondering if there are any leak or burst detection solutions out there built on PI.
Currently building our own set with things like, increasing trend minimum daily flow, mass balance on DMA's, etc.