Report from OPC
XLReporter interfaces to OPC DA, OPC HDA and OPC UA servers to produce reports automatically and on-demand.
What is OPC?
OPC was released in 1996 to standardize interoperability. Initially, the OPC standard was restricted to the Windows operating system and as such the acronym OPC was borne
from the windows OLE (object linking and embedding) for Process Control. OPC has enjoyed widespread adoption across multiple industries, including manufacturing, building automation, oil and gas,
renewable energy and utilities, among others.
Windows authentication was a major drawback of applying OPC to interconnected platforms so the OPC Foundation developed the OPC UA specifications
to address these needs and at the same time provided a feature-rich
technology open-platform architecture that was future-proof, scalable and extensible.
Today the acronym OPC stands for Open Platform Communications.
OPC DA (Direct Access)
OPC UA (Unified Architecture)
Produce reports directly from live values using OPC DA and OPC UA. The solution is low-cost, straightforward and does not involve historians or relational databases. Report current value "snapshots" or add values incrementally to your report on time or on events. Produce a wide range of reports such as a daily shift reports, monthly summary reports or equipment usage reports.
OPC HDA (Historical Data Access)
OPC HA (Historical Data Access with UA)
Produce reports automatically or on-demand from the OPC HDA servers such as Canary Labs and Kepware Local Historian and OPC UA HA servers such as DeltaV Continuous Historian. Retrieve sample values and "out-of-box" metrics on performance, statistics and runtimes that have been
filtered and scaled according to your requirement. XLReporter performs the filtering if it is not supported by the server.
In addition to the standard set of metrics provided by the historian, XLReporter provides an extended set of calculations specific to industry.
Metrics are readily available without any scripting or programming. Simply select the tags of interest, the time frame and calculation e.g., average temperature over each hour of the day, and let XLReporter do the rest.