Honeywell Process Solutions (HPS) today announced the launch of its Honeywell Connected Plant Uniformance Cloud Historian. This new offering is a software-as-a-service cloud-hosting solution for enterprise-wide visualization and analysis, helping customers improve asset availability and increase plant uptime, according to Honeywell.
“Uniformance Cloud Historian brings the full power of cloud and big data to Honeywell’s traditional process historian for the first time, connecting even the most complex multi-site organizations effortlessly,” said Vimal Kapur, president of Honeywell Process Solutions. “The solution makes it possible to leverage insights found at one plant across all plants, allowing smarter, more strategic decisions to be made and action to be taken.”
Honeywell notes that its new offering collects, stores and enables replay of historical and continuous plant and production site process data and makes it visible in the cloud in near real time. The historian combines a time-series data store, which empowers plant and enterprise staff to execute and make decisions, with a big-data lake, which enables data scientists to uncover previously unknown correlations between process data and other business data in the enterprise.
Projects that previously took weeks or months can now be achieved in hours. These efficiencies, combined with the ability to use a customer’s existing tools and functions, can significantly reduce deployment and engineering time. Additionally, the scale and performance delivered through native cloud technology can reduce enterprise-information technology costs by up to 25 percent, according to Honeywell.
"ARC believes that a secure cloud provides an ideal environment for applications such as historians,” said Janice Abel, principal analyst, ARC Advisory Group. “With the Uniformance Cloud Historian, Honeywell is not just hosting historians on-site, but is enabling users with new edge, cloud and data lake technologies for process, asset and business data. The historian should make it quicker and easier for users in industrial plants to access, analyze, and leverage data to improve both plant and enterprise performance. It should also help reduce the considerable costs typically associated with hosting resource-intensive applications with cloud and data lake technologies."
