In a recent survey of information technology (IT) and operations executives from sectors such as manufacturing, utilities, power and energy, and transportation, 80% of respondents affirmed that the industrial internet of things (IIoT) can and will transform their companies and markets.
Integrating existing plant IT with “intelligent” and connected physical assets is the foundation of the Industry 4.0 movement. Increased automation to reduce operational risks and control costs is one reason IIoT makes sense for manufacturers and wind plant operators.
However, a shift to “edge” (or asset) computing introduces a higher level of performance and production capabilities. Edge computing facilitates data processing at or near the source of data generation. For a wind-farm operator, this may look like a remote-control center connecting with and retrieving meaningful data from individual wind turbines on health and performance.
“Sensor and connectivity costs have come down significantly in recent years,” shares John Crupi, VP of IoT Analytics at Greenwave Systems, an IIoT service and software company. “Additionally, computing power at the edge has increased while its costs have also dropped. This has led to major opportunities for edge-based analytics software to detect and respond to issues faster — greatly benefiting manufacturers and operators such as wind owners.”