Here was the idea. Let's show how Axiom would perform if we placed 70 individual trends on a single chart. Each trend polls at one second intervals and updates 100% of the time. Then, once we have all 70 trends on a single chart, let's call for 30 days of historical values.
No, it's not a typo. I didn't mean predictive. This morning I was reading an article from SparkCognition, "Changing the World by Way of Oil and Gas", and I came across the term for the first time. After some research, here is what I learned.
The Industrial Internet of Things is changing the way companies operate. Whether you have already adopted an IIoT strategy or are beginning the planning phases of how/where to begin, there are two key elements that you must first focus on.
Battling inefficiencies and trying to save money is important to every industrial process. It is frustrating that most companies first have to invest a large amount of capital to equip themselves with SCADA solutions and data historians in order to find ways to run more efficiently.
Why should you consider Chirp! for your next Ignition project? Ignition already offers some great SCADA and HMI solutions and their unlimited licensing model has resonated very well with system integrators and end users alike.
Canary recently hosted it's first Crash Course, a webinar designed to teach you how to functionally use a Canary product in less than 30 minutes.
Could Cassandra be optimized to store time-series data? This is a question that has become a common topic for discussion. I recently came across a great read that compares Cassandra performance to another dedicated time-series database, TimescaleDB.
It's exciting to discuss the virtues of collecting and storing years of process data with engineers and operators. We often hear the ideas that are exchanged about what could be done and how the process could operate more efficiently if data was available to key individuals. It has struck me recently how many times these data historian discussions seem limited by the fear of budget and deployment time. Generally, by the end of a preliminary discussion, someone at the table sighs and makes a statement like, "It would be nice, but I'm sure the investment would be too much to consider".