Technology is changing the way people work in recent years, more than occurred in the previous 50 years and the changes are rapid and radical.
In this article we talk about some simple rules that allow you to have good data ready to feed your application DATA ANALYTICS, simple but not so obvious.
Every day I meet entrepreneurs who want to be informed on the Industry 4.0 and on innovation that can lead the company to become more competitive. Few of them have clear ideas, many are confused about the choices to make and doubtful about how these innovations can be transferred to the company. The main concern, as I understand, is on the so much declaimed benefits of Industry 4.0 applied to their own reality.
Predictive maintenance is an important maintenance tool that is based on the possibility to estimate future values of certain quantities characterizing a system (typically a machinery, a plant, or a manufacturing process) by means of particular mathematical models in order to identify in advance the anomalies and potential failures.
I asked myself "How BIG is the BIG DATA?" according to the experts. So I searched the Internet and found many definitions: "greater than 1TB," or "Data that is so large that you can not revealed adequately store and process it with your regular technology" or even "the number of independent data sources, each with the potential to interact”.
A few weeks ago, just for doubt’s sake, a potential customer requested a communication test between one of his many presses (rather dated) and a computer, before installing a new data collection system needed to measure and to optimize the production process.
Customers often ask me the usefulness of a continuous machine parameters monitoring. After all, it takes just a few days, or weeks, to understand where wastes are and how to improve plant productivity.