Wonderware Historian is the first, large volume plant data historian to unite a high-speed data acquisition and storage system with a traditional relational database management system.
Enable smarter business decisions with enterprise data access to high-fidelity data generated by the Industrial Internet of Things (IIoT). Wonderware Historian provides a secure, high-performance database to consolidate disparate data sources and provide rapid retrieval techniques to make sense of the increasing amount of industrial data.
Historian’s ability to handle millions of tags provides plenty of capability to collect and store all of your vital process, alarm and event data. Monitor a single process or an entire facility. Store data locally and aggregate at the enterprise level, fulfilling the most demanding analysis and reporting requirements.
Capture data from basic single node sources or highly distributed sources, anywhere in the world.
Apply built-in data validation procedures to assure you that your data is accurate.
Preserve everything from short term diagnostics to a long term records needed to support regulatory requirements.
In remote upstream oil and gas, food and beverage, water and wastewater or other applications, the data collection capability of Wonderware Historian is there 24/7 to ensure that nothing is lost in transmission. If messages are intermittent, late, or arriving in bursts—that is no problem; the high performance Wonderware Historian data storage engine can keep up.
Do you have data coming in from systems with mismatched system clocks? That’s not a problem either; Wonderware Historian preserves the correct data sequence automatically.
Advanced data storage and compression combined with industry-standard query language provides easy, open access to all process, alarm and event data. This enables faster, more informed decisions while keeping everyone informed on operational performance.
Display historian data via Wonderware InTouch or analyze it with Wonderware Historian Client, Wonderware Online, Wonderware Intelligence, Wonderware Insight, Wonderware SmartGlance, Wonderware Alarm Adviser and Dream Report for Wonderware.
Unlike conventional relational database technology which is not well-suited to production environments, the Wonderware Historian is designed to handle time-series data, along with alarm and event data. Unique Wonderware “block technology’ captures plant data hundreds of times faster than a standard database system and utilizes a fraction of conventional storage space.
Wonderware Historian combines front-end, high-speed data collection with time series extensions to an embedded Microsoft SQL Server relational database. It does not store data directly in Microsoft SQL Server tables but lets you use Windows Explorer to transfer highly optimized “history blocks,” eliminating the need to purge your database as it grows. Additionally, our patented “swinging door” data storage algorithm greatly reduces data storage requirements while preserving important data features.
Wonderware Historian’s built-in advanced data retrieval modes make your data report queries easier to build, more efficient and more powerful.
History replay allows any process graphic hosted in the InTouch OMI industrial visualization platform to easily be redirected from real-time data to historical data for improved analysis of your process through the SCADA Playback feature.
Easily configured tiered architectures guard against possible data loss and provide valuable summary data for system performance analysis.
Configure one tier as a data repository for backup of critical information, or replicate historical data in multiple tiers. Lower tiers can feed either their complete data stream or just summary, aggregated data, to one or more higher levels. If the system goes down while you are using a data analysis and reporting application such as Historian Client, the system switches automatically to a designated backup historian. When the primary historian comes back online, all connected Historian Client instances switch back automatically to the primary server.