Synchronize your Data by Using the Maximo Asset Data Dictionary
Due to the disparate manufacturing systems, many clients today need to combine IOT OT metrics from their equipment & operations information with their maintenance & reliability systems. The metrics need to be presented in context of assets, locations, and work orders so that maintenance technicians and reliability engineers can benefit from the IOT data. Maximo, when combined with manufacturing IOT systems, enables meter-based preventive maintenance, alerts/alarms that trigger maintenance action, and condition-based maintenance & performance monitoring. Maximo enables the reliability and maintenance experts in the field with the ability to set up and manage the data and condition points, to make the necessary tweaks to setpoints, tolerances, and other parameters from within Maximo. Large manufacturing companies need to continuously harmonization of data over time. IoT-connected equipment can provide valuable insights into performance (Maximo Monitor) and health (Maximo Health) status. By analyzing this data, predictive maintenance models can be deployed (Maximo Predict) to anticipate equipment failures before they occur. This approach optimizes maintenance schedules, reduces unplanned downtime, and prolongs equipment lifespan.
Data and Metrics that Internet of Things (IoT) monitoring systems collect from sensor devices can be imported into Maximo® Manage by using the Asset Data Dictionary integration features. Metrics are time-based groupings of sensor data that is associated with IoT devices. In IoT monitoring systems, devices can be associated with Maximo assets and locations. When a device is associated with an asset or location, the metrics that are associated with the device can be added to the meter data that Maximo Manage maintains for assets and locations. In Maximo Manage, in the Assets and Locations applications, on the Meters tab, the Metric ID field associates an asset or location meter to a metric that is collected by IoT monitoring systems. The metrics data can be added to Maximo Manage by using the Asset Data Dictionary artifacts in the integration framework and the IOTCONNECTOR cron task.
The Asset Data Dictionary (ADD) is a repository of data and metadata that facilitates data sharing and integration between Maximo® Manage and other applications. ADD is a repository for linked data, of related entities that span across applications. ADD is a Graph database sitting on top of Db2. ADD contains a small partial representation of the object. ADD can be used for integrating Maximo Manage with IoT monitoring systems by adding metric data that IoT monitoring systems gather from sensor devices to meters in Maximo Manage applications. Using pre-defined artifacts in the Maximo Manage integration framework, you can synchronize data in Maximo Manage with ADD, which in turn integrates the data into other applications, such as Maximo Monitor. Pre-defined artifacts are available for integrating data about organizations, sites, assets, asset hierarchies, operating locations, location systems, and location hierarchies.
If you configure event-based synchronization, data in the ADD can be synchronized across applications. For example, if you configure an event that is based on adding a location, when you add a location to Maximo Manage, the location is also added to Maximo Monitor. To support integration with other applications, the Maximo® Manage to ADD synchronization loads organization, site, asset, and location data from Maximo Manage to the data dictionary. It is an on-going integration that can be performed manually when needed, at regularly scheduled intervals, or as event-based updates when data changes. The IBM® Maximo Manage integration framework provides several artifacts for the Maximo Manage to ADD synchronization, including an external system, publish channels, endpoints, and query templates. ADD is installed automatically when a consuming application, such as Maximo Monitor, is installed. However, some initial configuration is also required to fully implement data synchronization. The export functions in the External Systems application are used to synchronize data from Maximo Manage to the ADD. After the initial data synchronization, you can export data from Maximo Manage to the ADD manually when needed, at regularly scheduled intervals, or when data changes. Routing to ADD is done through the endpoint framework. A new endpoint was added to pull data from ADD leveraging the ADD client library.
The Maximo Integration Framework (MIF) is used with ADD as a external system. Data synch is supported using MIF publish channels. Real time data sync uses Maximo Manage object events. On Demand data sync uses manage data export. Data sync uses store and forward reliable messaging using JMS/Kafka MoMs. This adds support for error handling, correction, and reprocessing. Auditing is completed using message tracking. Data export framework has been enhanced to support orchestration.
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