BIM
BIM
There is another technology that is also maturing, which is the sensor industry, to monitor assets in the operations phase. This is part of the development of intelligent assets as part of the Industrial Internet of Things( IIoT). Designing these sensors into the ET model and understanding how the data will be used as part of the OT model enables asset performance monitoring to a new level. This can be further developed into asset performance modelling which enables predictive maintenance and proactive interventions. With predictive modelling, outages can be reduced, if an outage is unavoidable customers can be informed ahead of time if their service is going to be impacted.
The water industry is in the early stages of developing the IT, ET and OT tools, it is clunky in the way that data and information moves or is linked between the Project Information Model( PIM) and the Asset Information Model( AIM). Resolving these interoperability and work process issues will take time, energy and investment.
Justifying this investment is difficult if just viewed in the asset and project context. The real value of this effort is realised when placed in a business context as shown in Figure 2, an annotated extract from PAS 1192:3. ET and OT models need to support the overall business objectives in meeting the needs of various business stakeholders. Showing how OT and ET models can reduce risk, increase shareholder value, satisfy regulatory requirements and increase customer engagement should be some of the issues to be considered.
For example, the introduction of water industry competition should be a driver to focus attention on asset data and performance. Understanding what the Organisational Information Requirements are is the first step in being able to set up the appropriate OT systems. The OT environment will then be able to request the appropriate information from the ET environment.
Figure 2
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