Utilities: Improving Asset Management for More Efficient Operations
The biggest challenge facing many energy utilities is managing their assets. The problem is most don’t know where all their assets are located. And that makes it infinitely more difficult to properly maintain and operate the multitude of wires, transformers, pumps and pipes they rely on to serve customers.
For the typical utility, this problem is really two-fold: They don’t know where their assets are because they don’t know where all their asset data is. Sure, they have a vague idea – infrastructure features, attributes and coordinates are spread across numerous databases throughout the enterprise. But, of course, the databases don’t talk to each other.
That’s where TerraFrame comes in. We build custom asset management applications on top of our open-source GeoPrism platform, which enables users to aggregate disparate data sets, query the data using complex geospatial analytics and visualize the results in a dynamic dashboard.
We do all the work and then hand you the keys. We will index your utility data sets, and that includes geospatial data as well as textual documents such as installation records and maintenance schedules. Next, we set them up so you can aggregate them for analysis at any level of granularity (county, state, township, etc.), but the data remains in their native databases. And we’ll scrub the data so dissimilar file formats can mesh with each other.
Finally, we deliver a cloud-based application that puts you in control of your data and your assets. You will use the app to understand what assets you have, locate them, and analyze complex relationships among them. Most importantly, the GeoPrism platform learns as you use it. Soon it will identify trends in your data and predict when and where the next equipment failure is likely to occur.
With a GeoPrism app from TerraFrame, your utility will:
- Reduce staff time spent looking for faulty infrastructure
- Lower the cost of asset ownership by staying ahead of maintenance schedules
- Decrease the expense of data management
- Prevent catastrophic asset failure by fixing small problems before they cascade