Pipers - Multi-Sensor System for Pipeline Inspection and Data Analytics
INGU’s Pipers® solution pairs a baseball-sized, free-floating multi sensor system with AI powered data analytics and a GIS Pipeline viewer. The Pipers® solution accurately identifies and locate potential issues such as leaks, build up, or changes in the pipeline wall without the need for external reference devices. Pipers® are suitable for all pipelines, independent of pipeline diameter and material, and can be used while the pipeline is in service. The information provided allows you to prioritize when and where action is needed to keep your pipelines operate safely and reliably.
Pipers® ‘listen’ for leaks while flowing through the pipeline. Because the Pipers® are free-floating, there is limited to no background noise, making the Pipers® an ultra sensitive leak detection tool. To put it simple, if you can hear the leak, Pipers® can.
Reducing water loss is a global challenge for water utilities. Pipers® accurately detect and locate leaks, giving you the information you need to repair leaks.
Gas pockets in wastewater pipelines risk the integrity of the pipelines. Pipers® detect and locate gas pockets, so you can make informed decisions about next steps.
With 100 pressure measurements per second, i.e. every 2.5cm (1 inch) at a 2m/s (6.5 ft/s) flow speed, Pipers® provide a detailed pressure profile over the full length of the pipeline.
Buildup or debris in wastewater pipelines can limit the pipeline’s capacity and be a risk for pipeline integrity. Pipers® detect buildup and provide the location, so you know where to clean.
Pipers® can determine the pipeline path and geometry by combining the information provided by the full sensor suite.
Elevation and heading of the pipeline are directly measured and combined with bend angles, weld patterns, and spool lengths. This allows for a reconstruction of the pipeline path and a visualization in the pipeline viewer.
While flowing through the pipeline, Pipers® continuously measure the pipeline’s magnetic flux. Using this information, a spool-based metal loss analysis can be performed. Spools are categorized in no or minimal, medium, and severe metal loss, and a confidence level will be assigned.
Pipers® serve as an in-between solution between hydrostatic testing and conventional inline inspection tools (smart pigs), and as such help operators keep their pipelines safe.
While flowing through the pipeline, Pipers® continuously measure the pipeline’s magnetic flux. Using this information, a spool-based metal loss analysis can be performed. Spools are categorized in no or minimal, medium, and severe metal loss, and a confidence level will be assigned.
Pipers® serve as an in-between solution between hydrostatic testing and conventional inline inspection tools (smart pigs), and as such help operators keep their pipelines safe.
As part of the inspection deliverables, the results from a Pipers® pipeline inspection can be presented in INGU’s Pipeline viewer. An interactive geographic information system (GIS) environment that shows the inspection results on a satellite map.
The pipeline path including the launch and receive locations will be marked. Depending on the pipeline inspection service selected, also joints, bends, leaks, air pockets, metal loss, hot taps, etc… will be marked. Clicking on a marker will provide specific information for that marker. The pipe tally can also be downloaded.
It is also possible to upload other inspection data and see the comparison in the Pipeline viewer. And full visibility across your pipeline assets equals comprehensive insight and control.
Maximum control
Easily mobilized so fast response when issues are suspected
Continued service
Assess your pipelines without interrupting regular service
Multi sensor inspections
Information about leaks, gas pockets, buildup, and changes in the pipeline wall in a single run
Cost effective
Affordability and ease of use means more visibility more often
Access to all pipelines
Effectively assess any pipeline diameter and material
Rich datasets library
Leverage historical data for unprecedented analysis