Industry

Industrial and Commercial Machinery

Solution

Dataflow Integration, continuous data science pipeline management, Real-time analytics

Client

SunPower

With over 3 gigawatts across a mix of commercial and utility-scale solar power plants, SunPower is the leader in the solar power innovation. Their Central Command Center in Austin, TX manages a complex web of panels and equipment situated in over 700 sites worldwide. SunPower’s Remote Operations team relies on a data-driven monitoring platform and dashboard that combines streams of real-time and historic data, to both prevent and predict costly downtime across its mission-critical infrastructure.

The Challenge. The complexity of data operations at SunPower’s global Remote Ops starts with processing billions of data points per hour, ingesting streams from equipment types across hundreds of different manufacturers. At the same time, vital historical data needed to be reconciled across incompatible formats from legacy systems, to ensure analytics signals could be modeled with proper context. Using machine learning to drive AI diagnostics could give managers and field technicians alike a clear and actionable picture the state of each piece of machinery and plant operation health as a whole.

The Solution. Sunpower took advantage of a range of ElevationData services and solutions to transform data integrated across its global operations to feed model-driven analysis of patterns maximize equipment utilization and streamline physical plant service operations. The platform relied on ElevationData experts to transform and enrich data across multiple availability zones. Signal data is also aggregated every 15 seconds via Spark micro-batch processing. The data flows extend to historic data, cached in a heterogeneous data warehouse infrastructure that runs Amazon Aurora for SQL data and DynamoDB for nonSQL data sets.

A 3d party ML solution deployed at Sunpower also benefited from ElevationData dataflows, with data pipelines adapted to profiles of specific equipment types. The ML engine uses this to check device health data, discover anomalies and flag them to operators and technicians. Thanks to Data Integration services provided by ElevationData, datasets fed into web-based unified analytics dashboard display health status for the network across the planet.

The Benefits. With a data-driven real-time analytics pipeline at the heart of its global remote operations, SunPower was able to leverage machine learning successfully. Reliable data operations delivered continuously up-to-date insights, revealing equipment anomalies sooner, to ensure they were fixed at far less cost.


Continuous data flow management

Real-time data flow integration & management to rapidly recover from unexpected problems in source data



Data Transformation

Change data structures and types with functional expressions, within a data flow, using S3 Athena to keep costs low  

Operationalize Machine Learning


Managed data integration and ongoing workflow for model building, training, and deployment with AWS Sagemaker

Sunpower selects asset intelligence platform to manage 700 power plants.