Overview of labs
Welcome to the IBM Maximo Asset Monitor Hands-on lab. In this hands-on lab you will get started with IBM Maximo Asset Monitor. You will learn about Monitor’s capabilities to:
- Connect devices
- Process data from devices or SCADA systems
- Transform data into asset information
- Be alerted about which assets are not performing normally
- Create system summary and asset dashboard to view asset condition metrics and related asset operational data.
Maximo Asset Monitor connects devices, processes device data, and transforms that data into meaningful insights through visualizations such as time series line and bar charts, tabular reports, and interactive diagrams. Watson IoT Platform and its additional add-on services enable organizations to capture and explore data for devices, equipment and machines, and discover insights that can drive better decision-making.
Each lab includes multiple exercises with step-by-step directions.
- Lab 1. Connect devices: Connect devices and define asset types.
- Lab 2. Monitor assets: Create dashboards that enable you to visualize asset data using asset device data.
- Lab 3. Monitor anomalies: Create dashboards, detect and monitor anomalies.
- Lab 4. Create service requests: Create acknowledge alert and create service requests to further investigate and resolve alerts in Maximo.
In this hands-on lab’s exercises, you will connect a Nordic Thingy to Maximo Asset Monitor, map the device’s physical interfaces to logical interfaces, define conditional realtime rules and notifications, and increase your understanding of how device data is stored.
In this hands-on lab’s exercises, you will learn about the data dashboards that are automatically created, how to perform data analysis using functions catalog, how to be alerted about non-conforming asset conditions, and how to troubleshoot functions.
In this hands-on lab’s exercises, you will create an asset instance dashboard to see how an individual asset is performing, create a summary dashboard that aggregates asset performance metrics across multiple assets of the same type, detect anomalies by applying anomaly models, create alerts to prioritize anomalies, monitor alerts across multiple assets in a summary dashboard you create, and troubleshoot to find the root cause of a problem.
In this hands-on lab’s exercises, you will create a Maximo Service Connection so that Monitor knows which Maximo service to open service requests in, acknowledge an alert and create service request in Maximo so that the alert can be investigated and resolved, resolve service request in Maximo, and resolve alerts in Monitor.