HanAra Software, a data management and predictive analytics technology company, has released HanPHI Insight. As a part of HanAra’s machine learning solution, HanPHI Insight will enable organizations to identify potential and hidden failures in advance anywhere and at any time using their web browser. Understanding that engineers, supervisors, and managers need real-time status updates on their equipment health regardless of whether they are at their desk or in the office, HanAra developed HanPHI Insight.
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In any plant, unscheduled downtime poses a safety and operational risk. With increased lead time to prevent equipment failure, a plant can improve operations and reduce unnecessary losses. HanPHI Insight alerts plants to equipment that needs their attention, serving as a personal assistant for its users.
In addition, it is not enough to know there is an issue; organizations want to know what the issue is as well. With HanPHI’s SuccessTree, a built-in hierarchical representation of the plant, users have an intuitive view of the root cause of the potential issue. This gives plants useful information to implement predictive maintenance strategies.
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For HanAra, this is how we help industries like power generation, manufacturing, and oil and gas on their digital transformation journeys. Organizations have access to equipment data across their entire fleet that can provide needed information to both the field and organization level. With an intuitive and easy to understand plant health index, organizations use HanPHI Insight to expand their maintenance strategies to include machine learning and advanced pattern recognition analysis.
“Technology should fit the user’s world,” Hojoon Seo, president of HanAra Software, said at HanPHI Insight’s release. “Our transition to a web-based solution is to maximize user convenience. To unlock equipment data potential, we used machine learning and advanced pattern recognition technology to give our users a clear understanding of their equipment health. By enabling this same information on the web, our users now will have access to actionable intelligence when and where they need it most.”
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