Getting Started with the IBM Maximo Monitor v8.5 Lab!
Students doing these exercises and facilitators preparing for delivering the exercises should read the instructions.
These labs are still under development as Monitor v8.5 was just released. Please Contributing to Labs providing us feedback by enhancements or bugs via Survicate Net Promoter score surveys if you are asked. We also welcome your contributions to existing or new exercises.
Learning Goals
| Goal | Recommended Activities | Time Needed |
|---|---|---|
| Setup local development environment | Setup your local development environment | 1.5 hours |
| Create a Packaging Asset | Exercise 1 | 15 mins |
| Create a Constant | Exercise 2 | 15 mins |
| Create a Python Function | Exercise 3 | 30 mins |
| Create a Python Expression | Exercise 4 | 5 mins |
| Add a Value card to an Asset Dashboard | Exercise 5 | 5 hours |
| Create a Custom Function | Exercise 6 | 2 hours |
Overview of Maximo Monitor
Read an overview of Maximo Monitor
Demonstration of Monitor
Ask your facilitator for a demonstration of Maxiom Asset Monitor or watch this short 7 minute video demonstration
Objectives
In these labs using Monitor you will learn how to :
- Setup local development environment
- Add Example Packaging Hopper Asset
- Add a Constant
- Add a PythonFunction
- Add a PythonExpression
- Add a Value card to an Asset Dashboard
The Packaging Hopper Asset will provide the timeseries data that we will use in the exercise to determine how frequently the ambient temperature is above 27 degrees Celcius. The food that is being packaged has a shorter shelf life when it is packaged at higher temperatures. Remote operational support teams monitor the Hooper to ensure it is operating within the required operating ranges and without anomalies.
The Python Function will add a new column of data with a value of 1 each time the ambient temperature is above the max temperature constant. The maximum temperature constant is set to 27 degrees Celcius. When the ambient temperature is below the maximum temperature constant assign a value of 0. You can then sum or aggregate the number of time the ambient temperature exceeded the maximum temperature constant for some chosen time period. Common aggregation periods are 1 hour, 1 day, 7 days, 1 month, 1 quarter and 1 year.
The Python Expression will that will calculate the temperature_deviation between the ambient_temp and max_temp_YI.
Monitor automatically creates asset dashboards for your. You will add a Value card to a built in Asset Dashboard.