Industry 4.0/Industrial IoT

Can Edge Analytics help manufacturers seize Industry 4.0's promise of revolutionizing industry?

Rubble Master, a mobile crushing and screening equipment manufacturer, put this question to the test when it sought to do more with its equipment data-. Read the case study.

Working with many customer projects over the last years we have learnt that a key success factor is to start with small projects that are easy to implement and finish and then gradually build up to the more advanced/complex use cases. That is, eat the elephant in pieces, don’t try to swallow the whole elephant at once.

A common problem in our industry is data mismatch, data from different sources, to send it to other systems that expects data in another format. These situations are where data transformation and harmonization

An important use of machine data is to calculate different KPIs to measure the performance and behaviour of machines or processes. Edge analytics is a perfect tool both for collecting the relevant data and calculating

In this blog we will discuss how you can build a modern historian by combining best-of-breed tools in a flexible and efficient way.

Siemens Mindsphere has taken the lead as the open operating system for Industrial IoT, according to Forrester. The cloud-based platform is built to connect and integrate the entire manufacturing process, to give manufacturers the capability to implement a wide array of solutions

Industry 4.0 is based on the convergence of OT and IT using modern technologies that are significantly easier to use and faster to deploy in order to extract business value from integrating machine data, shop floor data, enterprise data and cloud applications.

OSIsoft PI System is one of the most widely deployed solutions for capturing and storing machine data within manufacturing, energy, utilities, pharma, transportation and facility management.