We understand Co-ops. We understand that everyone counts on you, as an operator of the network, to keep the lights on. With the weight of these expectations on your shoulders, we understand the pain you feel when things stop working. Like that undeniable panic when a transformer fails. Or like that dull – yet daily – irritation of experiencing blinks on your network.

When your smart meters stop responding, you’re left wondering where the problem lives and what the underlying issues could be. We’ve heard our friends express a similar frustration with identifying and understanding the blinks on their network. “We estimate we waste – I don’t know  how many – hours per month trying to decipher all the blinks on our network – that includes analysts trying to correlate specific events with blinks in network communication, operations managers trying to forecast maintenance schedules and resource allocation around blink events, and even customer service representatives trying to make sense of – and alleviate – customers’ concerns during outage events. We would be particularly interested in a module that could automate these types of queries and display the results in an interface anyone could appreciate and understand – from Chris in Engineering to Barb in Client Services.”  

We love hearing this type of feedback from the industry because it sets a clear path for us to develop a new analytical module that solves a specific pain point. Because what’s better than us understanding your blinks? Imagine if we could give you the tools to visualize all the blinks on your network or give you the ability to diagnose issues faster with sophisticated machine learning techniques…

Introducing: GridCure’s Blink Module

Using data that you likely already have on hand, we are able to display your network blinks on a map-interface, report and sort your blink information, provide summary statistics of blink patterns on your network, and even link blinks to specific events recorded on your SCADA and OMS system. And we do this all in a simple-to-use online app.

Blink Monitor Overview: On this page, Critical Asset Cards highlight your network’s most problematic assets. You can easily sort and filter the data on this page based on several different parameters, e.g. date range, meter number, location, and cause codes, which automagically populates a table of high-level asset information.

Blink Monitor Map View: Using these same filtering parameters, you can even display each blink on a map interface. Each meter that has experienced a blink event shows up on the map as a pin. You can learn more information about the blink event by clicking on each pin.

Meter Number Details: You can easily view all the historical information for a particular meter on the Meter Details page. Our statistical analytics effortlessly associates SCADA or OMS events with blinks.

Cause Details: You can drill down even further and view all the data about a particular event on the Cause Details page. This page includes asset information, SCADA data, and detailed comments about the causes each blink event, as well as any corrective actions that may have been taken.
When your smart meters stop communicating with you, you should start communicating with us. We’d happily demonstrate how solving blinks in your network data can be greatly simplified with our machine learning techniques and sexy dashboards.