You are now ready to start putting your skills to use! The knowledge you have gained in this course can be applied to any process. Setting up expressions and rollups helps you gather useful data points, and event frames and notifications help you to monitor and adjust your processes.
To complete this course and receive a certificate of participation, you must complete a final project on or before the end of the course period. If you have any questions about this, please contact your facilitator or ask on the discussion forums.
There are two options to complete the final project for this course.
Option #1 - If you have access to the PI System at your enterprise and would prefer to create analyses that are meaningful for your job, you may complete this final project with your own system.
Identify an area of your asset structure that you can add value to by creating analytics. On an element that represents a piece of equipment, try to define an OEE calculation that is similar to the calculation described above and carry out the multi-part exercise.
If you prefer to pursue a different, but still comprehensive way of incorporating asset analytics into your own database, then discuss a potential project idea with your course facilitator.
Your final project must include the following components:
- 3 expression analyses - Use at least 3 different functions
- 1 rollup analysis
- 2 event frame generation analyses
- 1 notification based off of an event frame generation analysis - The message format must differ from the Global Default Format and should include relevant information to act upon the notification
- Ensure to comment (//) your analyses to so that others can easily understand your analyses logic
Option #2 - You may use the attached "ABPI Reactor OEE" AF database to complete three parts of the final project. If you are using the Configuring Asset Analytics - Cloud Environment, simply select this database on the PI AF Server. Familiarize yourself with the plant set up by watching the Intro to the Reactor OEE Asset Based PI Example Kit video.
Your final project must include three parts:
Part 1: Set up the OEE calculations with the following criteria:
- The time range you are interested in is based on the Start Time and End Time attributes on each Line.
- Availability is defined as the percentage of time the line is running/on
- Performance compares the Outlet Pump's Flow Rate to the Production Rate Target
- Quality compares the Reactor's Outlet Sensor to the Outlet Sensor Target
- Line 3 does not have an Outlet Sensor so we assume Quality = 100% for this line
Part 2: Determine a few objectives for the plant supervisor. The supervisor would like to know which line has the highest OEE at any point in time. They would also like an average OEE for the entire plant, along with the average Availability, Performance, and Quality.
Part 3: The plant supervisor would like to be notified any time a line drops below 50% on the OEE metric. You can use your personal email to demonstrate the capabilities to send notifications to the line supervisors. The supervisors will certainly want to know what each part of the OEE calculation reported during this process excursion.
Bonus Challenge: Additionally, the plant supervisor would like a quick way to view the line in question if there is an issue. Please create a simple display in PI Vision that will link to the corresponding line that is at fault when the supervisor is notified of an issue.
How to Submit the Project:
You can simply submit the document explaining your AF model and asset analytics directly to your course facilitator via email. The document should include several screenshots of the configurations of the analyses that you created with short descriptions explaining their purposes. If you are registered for the course session, you should have received the contact information at the beginning of the course. In addition to your write-up, you may also export the AF database and Library objects (i.e. Templates) as an XML file and send it to the facilitator or may ask the facilitator to log into your Cloud Environment to further examine your analyses configurations.
Note About Customer Data:
Absolutely NO customer data will be shared outside of the Student / Facilitator relationship. The facilitator will never ask a student to share proprietary information with the class. Anything shared with the facilitator as proof of work will be destroyed at the end of the course. If however, you work on a generic project and wish to share it with other users on the community, OSIsoft can help facilitate that. This will be completely at your discretion and OSIsoft would take no legal responsibility.
Note About Original Work:
Please remember that no extensions will be given for the final project. Your submission must be your own work, and not copied from another student, course videos, ebook or online resources. No credit would be given for plagiarized work, partially completed work, and no refunds would be given for failed projects.