InfoAsset Planner is accessible directly within ArcGIS. It's an extension to ArcGIS, giving you the power and versatility of ArcGIS while adding advanced and fit-for-purpose engineering equations, tools, and flow schemes. A single button-push to ArcGIS Online means that IAP projects are easily transformed into living maps and storyboards for use by any/all elected viewers. Innovyze is an Esri Gold Partner with close relationships between the companies, and InfoAsset Planner works at the closest Esri integration level.
If you're already using a Computerized Maintenance Management System (CMMS), you can simply connect it to InfoAsset Planner. A CMMS can act as an Asset Registry (in part or in whole), storing condition assessment information on inspections and defects, and supplying information to calculate LoF and CoF. It may also have the ability to calculate rudimentary values for Remaining Useful Life (RUL). Different CMMSs provide different levels of information. We can easily connect to any CMMS or enterprise asset management system (EAMS), and we have native integrations to our CMMS partners highlighted below, including our own Work Order Management tool.
Condition Assessment for pipes
You can import data from these instruments:
- CCTV – Any CCTV data can be automatically imported, and we are V7.0 compliant with the Americas’ NASSCO (National Association of Sewer Service Companies) format, Australias WSA05, the UKs’ MSCC as well as many others. This data is great for location defects that can be observed by the human eye. We also support output from AI/ML technologies that review CCTV videos and log defects automatically, without the need for human inspection.
- Electro Scan – Focused electrode leak location (FELL) - detects leak locations and magnitudes in non-metallic pipes. It is the only technology that tests the water tightness of CIPP liners to ASTM F2550 and AWWA M77 standards
- Utilis – Leak detection for water systems using satellite imagery. Using a patented algorithm, Utilis can filter out the signature of drinking water and provide points of interest (POI) for field crews to assess
Artificial Intelligence / Machine Learning (AI/ML)
Machine learning is applied to databases of historical pipe break information along with hundreds of geographical and environmental variables to develop correlations between reviewed data and pipe breaks. LoFs are then predicted for each pipe.
- VODA.ai - Uses AI/ML to predict LoF which is then utilized with InfoAsset Planner’s process in developing the entire Asset Renewal master plan. VODA.ai trains and validates the ML algorithm that then calculates the correlation between the parameters and historical failures and builds a model of the system. The output of the ML analysis is a prediction for LoF for all water main segments in the distribution system.
There are many A/E firms that have long-term, in-depth knowledge and experience in creating prioritized rehabilitation plans, and can help projects progress more quickly and efficiently.