Real Time Business Intelligence (RTBI)
RTBI addresses the challenge of processing large volumes of high frequency streaming data to reduce the time to decisions and critical responses. These data streams are analyzed to validate quality, detect complex conditions, and uncover relationships. The results are then used for advanced event detection, predicting failures and interpreting actual performance versus plans and/or operations.
Logica’s Accelerators for Microsoft StreamInsight™ were designed to help clients realize the benefits of RTBI. This application framework with its set of adapters and event-driven architecture enables the rapid build, deployment and management of highly-efficient StreamInsight™-based applications - regardless of the data’s source, relationship, or destination. These fast, lightweight applications can easily be deployed on local servers close to data sources such as platforms and onshore rigs, in remote data centers or via Cloud Service.
Consider these uses
RTBI is ideal for conditioning large volumes of data from multiple streams. In contrast to traditional SCADA and historian systems that feature filtering and calculations prior to sampling, compression and storage, RTBI supports the use of sophisticated event-driven algorithms such as grouping and aggregation, non-occurrence detection, running totals and conditional windows to validate, interpolate and handle missing or suspect data. Data can be corrected or discarded in stream. Processed data are then sent to the receiving application or data store. The original raw data can also be retained. And while traditional systems can acquire and store large volumes of data, they cannot match RTBI’s capability to handle multiple streams with 100,000 or more events per second with sub-second latency. This makes RTBI ideal for handling data from sources such as drilling and completion, smart meters, rotating equipment, manufacturing and trading, where you have large streams of real-time data.
- Equipment Monitoring and Prediction
Once the data has been conditioned, a natural extension of RTBI’s capabilities is to use it to monitor equipment and predict performance in real-time. The objective is to know as soon as possible when performance is deviating from normal or expected conditions, so that notification and actions can be taken. Most predictive applications require that the data be acquired, stored and then sent to the analytic application. RTBI is different since it runs in memory and can reduce the latency to detection. Unlike other systems, intelligent queries can filter transient conditions and reduce the number of false events as well as understand events involving relationships between multiple sensors. And since it can process multiple streams, it can incorporate other sources of static and dynamic data, such as maintenance, reliability and cost to create sophisticated event detection and notification based on known models and performance parameters. Companies who have significant historical data and experience in operating rotating equipment such as pumps, compressors, motors and artificial lift devices can use their own or third party algorithms, embedding them in RTBI and making them available to the field, in real-time surveillance centers and control rooms, or at their desktops.
- Systems and Applications Monitoring
RTBI can monitor the availability and performance of systems and applications. But unlike mere agents, the monitoring can also incorporate the data flowing to those systems and applications. Thus RTBI provides a more comprehensive picture of the availability and performance, helping to identify where failure or reduced functionality is occurring.
Carrying this idea further, RTBI can be used to monitor multiple systems and activities as part of a comprehensive risk management approach for complex facilities and operations such as those found in refineries and chemical plants, and offshore platforms where drilling, production, maintenance and logistics are all taking place in a relatively confined area. The ability to integrate complex data, systems and activities, synchronizing and synthesizing them in real-time, is vital to identifying potential incidents and increasing the safety and reliability of complex operations.
How does Logica’s Accelerators for StreamInsight™ fit in your IT infrastructure?
RTBI is usually placed between the existing, incoming data source and the receiving data store and/or application. It does not replace any of your current systems but enhances and extends your existing capabilities. With its small yet powerful processing footprint, it can run either local to the data source, such as in the field on the rig, platform or control room or from a central location, such as in a real-time drilling or production-surveillance center. Edge servers local to the data source can also be used to feed down-sampled and critical data to central aggregating servers while still analyzing high-speed, high-volume data streams. From an architectural perspective, it can be embedded directly in an individual application or run on a server as part of an open architecture platform where it can be applied across multiple rigs, producing assets or facilities simultaneously. When it is used as a system and application monitoring tool, it typically runs in parallel with the applications and systems.
Benefits of Logica Accelerators for StreamInsight™
- New analytic capabilities for users
- Familiar .Net-based application development environment lowers total lifecycle cost
- Event-driven architecture reduces storage requirements and associated costs
- Open architecture reduces dependency on proprietary applications and data stores
- Small yet powerful footprint allows placement in the field as well as central locations
Take the next step
Logica’s Real-Time Data Management team is highly skilled in .NET development, databases and historians and graphical user interface development. Contact us and move beyond data-driven environments to an event-driven architecture where reduced latency and sophisticated analytics help you make faster, better decisions.
To find out more about how Logica can help you get ahead of your data streams, view here.
