The IMS|evolve rules engine is used to manage all the data that has either been collected from the machine asset or from any system or database integrated to the IMS|evolve Standard Data Layer. The engine can be used to apply logic and context to this data and then apply a business rule to it. For example the rules engine can determine that a work order be created as a result of an asset breaching its operational performance pattern. Due to the nature of the integration with the Standard Data Layer this work order will not only be given context by the asset registry information but can also have associated service level agreements, necessary skill sets and any likely parts requirements associated to it. This results in a completely contextualised and prioritised work order being generated.


As well as alert and event management being performed in the rules engine, IMS|evolve apply a unique understanding of asset performance. This enables the identification of degradation in performance of the asset and facilitates the implementation of condition based predictive monitoring. Responding to these conditions can reduce the number of reactive breakdowns and enable a more effective use of service delivery resources as well as enabling the asset owner to effectively plan equipment downtime. All of these factors can increase asset availability and uptime.


The rules engine can also be used to monitor and enforce set point compliance, ensuring that rules for operational performance are adhered to and providing alerts if any unauthorised changes are made. This remote control functionality can be used to identify risks of wasted energy, highlight potential savings and remotely correct identified issues