Integrating Spatial Digital Twin with Automation System in Smart Infrastructure Asset Management
Spatial Data Infrastructures, Digital Twin and Decision SupportView Theme
Industries are lacking a central platform to gather and analyse disparate OT (Operational Technology) data sources. These data can be location-based, multi-dimensional format with various frequencies and fidelity.
Therefore, current industrial automation systems need to be improved to aggregate dispersed OT data, for robust management of asset’s health, operation, and root-cause analysis in the Water, Waste-Water, Mining, and Oil & Gas industries.
Furthermore, there is a lack of spatial dimension in those automation systems, which is essential in developing a smart, resilient, and mature Digital twin integrated with industrial IoT (IIoT), where 2D, 3D, and 4D (time-based) data are used and connected to in-built or third-party analytical tools to better identify and predict production and process bottlenecks.
As such, a composable system architecture is crucial to address these challenges and improve the efficiency, smartness, and resilience of infrastructure.