For the power industry, the world is undergoing tremendous changes, “digital transformation” this elixir, how will take, in order to overcome the development of the power industry?
# In a complex situation, challenges and opportunities coexist
The growing capacity of renewable energy and the expanded deployment of distributed, user-owned generation will require generators to make better and faster decisions to balance supply and demand.
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3HAC029818-001/10 From generation, to supply, and then to use electricity, the vast and vast power network is facing increasingly difficult challenges in the dynamic changes such as more and more renewable energy access to the grid and the acceleration of technological interconnection:
– Insight: How to accurately meet availability and reliability requirements?
– Competitiveness: How to maintain asset profitability in a competitive market?
– Decision Power: How to achieve real-time situational awareness of distributed assets?
Although many power companies realize that data is the key to solving problems, they are unable to discover valuable content from massive information.
Data is central to overcoming these challenges, and data infrastructure is the foundation of digital transformation.
# Power Industry transformation trilogy
Modernizing the grid requires new data solutions. By building the right data management foundation and enabling predictive analytics and visualization through a three-step strategy, power companies can create a springboard to overcome obstacles and achieve reliable, flexible and sustainable power supply.
1. Data infrastructure: The foundation of successful digital transformation

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As the amount of data available increases, billions of signals are available to power plant operators, unit and grid managers. Data is being used in ever-changing ways, and to get the most value out of IT, IT needs an infrastructure that can manage increasingly complex data, a comprehensive solution that is simplified and easy to use.
2, Predictive analytics: From passive maintenance to active maintenance
Traditional maintenance strategies take a passive, “maintenance until failure” approach, relying on visualizations and alerting tools to detect problems after they occur. In contrast, predictive maintenance uses advanced analytics to help users identify anomalies and prevent catastrophic failures or other costly problems. But this transformation will not happen overnight, it is essential to build a strong, correct data base and develop effective change management strategies.
3. Use data visualization to improve operational insight
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3HAC029818-001/10 While establishing a sound data management system is fundamental to any successful asset performance strategy, the introduction of state-of-the-art data visualization capabilities can enhance operational insight and facilitate cross-functional collaboration. Visualization tools help teams share information by providing a single administrative view that everyone can use to coordinate daily activities and processes.
Easier said than done, there are details in this clear three-part strategy.
For the power industry, what are the necessary and special features to build a data infrastructure?
How to gradually transition and upgrade from passive maintenance to predictive maintenance?
What are the capabilities and benefits of a good data visualization tool?
In addition, the Southern Company, Ontario Power, Duke Energy, EDF Renewables, Texas Grid and other leading companies in the power industry, What are the excellent practical experiences in the process of implementing the “three-step strategy of transformation”?