This also drove standardization and ease of use. With an asset data model in place in AF, they were able to configure web-based PI Vision displays to easily visualize performance across their compression fleet.Īnother key feature that significantly decreased the setup time for a new compressors was the use of OMF's capability to create the AF structure and auto create the 250 PI tags for each of the compressor's data streams. They also developed unique anomaly detection analysis templates that were deployed in over 3,000 instances. They developed a number of Asset Framework (AF) templates to address common and unique compressor-related components. MPLX elected to start with 150 of their 850 remote compressors, each with approximately 250 data streams. The edge device can also perform edge analytics such as running the ACI compressor modeling software. The MCore SDR uses industrial security to efficiently connect to the PI System. MCore SDR is an industrially hardened multi-processor, multi-protocol device used to connect edge devices. To start the journey of bringing in the remote dark data, MPLX partnered with Monaco, an OSIsoft OEM who has embedded OSIsoft Message Format (OMF) in their MCore Secure Data Router (MCore SDR). But dealing with a hard-working compressor fleet with a diversity of vintages, makes, models, and limited remote connectivity posed a challenge because of limited visibility to asset performance and inability to perform anomaly detection to obtain optimal performance. The company provides natural gas gathering and processing services to E&P companies and operates 850 remote compression units for its gathering systems. Methods such as secure connectivity to PLCs using OSIsoft's Edge Data Store, embedded edge capabilities in OSIsoft's partner community, or cloud enabled IIOT gateway connectivity are much more efficient and are now becoming commonplace.īy adding edge data and gaining access to “dark” data, remote operational support can be much more effective and comprehensive and can deliver self-serve, contextualized access to operational intelligence.Ī few years ago, MPLX, a subsidiary of Marathon Oil, had a problem.
Instead, operators should rely on the PI System's pervasive data capabilities to connect to remote assets. In many cases, there is no instrumentation at all on remote assets, which often remain invisible to operators who solely rely on SCADA or DCS.Ī best practice is to avoid relying on such systems for non-control, non-critical data acquisition. There is non-control data stranded in Remote Terminal Units (RTUs) and unit and station PLC controllers. In reality, only 50 to 80% of remote operational data flows through SCADA and DCS. One common misconception is that traditional SCADA or DCS have all of the operational data and that connecting to these systems will enable pervasive remote asset data access for visualization and associated analytics.
Pervasive 中文 series#
Require changes to the organization’s culture, technologies, and business and IT processes.In this third blog in my series on remote operations during COVID-19, I want to focus on the importance of leveraging pervasive data collection from remote, often “dark” assets for efficient and effective remote operational support. To address its BI and analytics needs, Cornell embarked on a path toward pervasive BI that would Finding technology that is flexible enough to react to future BI platform expansion.
Pervasive 中文 drivers#
In the case of Cornell University, these business drivers were both strategic and operational: Like all organizations that took part in IDC’s research project, Cornell was influenced by both external and internal factors that triggered a need to re-evaluate its decision-making processes and the supporting BI and analytics technology architecture. Driven by increased competition due to changing business models, deregulation or, in some cases, increased regulation in the form of new compliance requirements, organizations in all industries and of all sizes are turning to business intelligence (BI) and data warehousing (DW) technologies and services to either automate or support decision-making processes.Īn increasing number of organizations are making BI functionality more pervasively available to all decision makers, be they executives or customer-facing employees, line-of-business managers or suppliers. The trend toward evidence-based decision-making is taking root in commercial, non-profit and public sector organizations.
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