HONEYWELL PROCESS SOLUTIONS introduced Uniformance® Cloud Historian, a software-as-a-service hosting platform for enterprise-wide visualization and analysis. It’s the newest addition to the Honeywell Connected Plant portfolio, and combines real-time process data analysis with extensive data storage, a combination that the developer claimed would help manufacturers to improve asset availability and increase plant uptime.
Honeywell Connected Plant is a cloud-based portfolio of control technologies for plant monitoring, process prediction, and performance analysis.
The Uniformance Cloud Historian is designed to combine real-time process data analysis of an enterprise historian function with a “data lake” (i.e., a storage repository that is distributed over multiple nodes, rather than in the fixed, structured environment), making it possible to integrate production activity, Enterprise Resource Planning (ERP), and other business data with analytics tools, to provide business intelligence. This makes it possible for enterprise data to be analyzed instantly on a wide scale, using tools and functions already in use at sites and plants.
“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,” stated 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.”
The historian collects, stores, and delivers on demand the historical and continuous plant and production site process data, and makes it visible in near real time. The new function 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.
HPS claimed that the historian may reduce the time requirements for data-oriented projects, contributing to lower deployment and engineering time, and cutting enterprise information technology costs by up to 25%.