Asset Management in Power & Utilities
Amazon Web Services (AWS) is helping power and utilities customers of all types and sizes scale IoT capabilities to handle an explosion of data. AWS provides a comprehensive set of capabilities to help manage and monitor growing assets at scale, to enable systems to enrich IoT data before it is stored, learn and improve processes with machine learning, thereby minimizing downtime, lowering costs, and improving overall operational efficiency and health. AWS allows you to focus on new business opportunities enabled by smart equipment without compromising security or capacity.
Use cases
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Predictive Equipment Health
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Industrial Data Analytics
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Predictive Equipment Health
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Predictive Equipment Health
Predictive equipment health captures the condition of equipment so utilities can identify potential breakdowns before they impact system reliability. It’s more important than ever as IoT sensors and product historians expand across utility enterprises, with compounding volumes of valuable data.
AWS helps you access and analyze these data streams, transforming them into predictive maintenance insight for your utility. You’ll be able to track real-time anomalies, know when to act quickly to avoid problems, and discover ways to improve maintenance practices vital to asset health.
Related products
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Industrial Data Analytics
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Industrial Data Analytics
For decades, utilities companies have relied on 3rd party time-series historian database software like OSISoft Pi to connect industrial device data with users and provide real-time operational intelligence around capital assets. Structured data from relational databases, unstructured data from maintenance reports, equipment sensor data, and SAP transactions were trapped in disparate systems creating islands of untapped data. AWS provides a gateway to store and perform advanced predictive and historic analysis. The industrial data analytics platform enables organizations to reduce costs, accelerate innovation, extract real-time insights, and bring together previously siloed data, thus enabling better, faster decision making.
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