Smart manufacturing and smart factories rely on the building blocks of Industry 4.0, namely the internet of things and cloud computing, which allow machines, sensors and people to connect and communicate with each other in real time
Big data brings opportunities for more human-machine interactions, leading to business intelligence and analytic capabilities powering instructions to the physical world through networks of intelligent devices. With this industrial connectivity, we see the supply chain talking to the production line, manufacturing becomes more versatile, production leaner, maintenance more efficient and running costs lower. Stay tuned to this hub for all posts and content relating to Industry 4.0.
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Hope you've got this right: This is a demonstrator, not an example for a typical real application and not a DIY project ;-)
In my next series of articles, I will show a more...
Expensive at €536,81 and not at all for the Maker scene. But perhaps for some industrial applications but there I personally would look for an industrial MCU rather than a RPi.
Just an RTD, 2 lightbulbs and £650 of kit. At least the coding was economical!
A very interesting article, thank you for sharing Kamilla.
Brainboxes BB-400 NeuronEdge Controller plus ED-538 I/O module, together with PanelPilotACE, form the heart of demonstrator units that showcase industrial products.
Single Pair Ethernet (SPE) will be a key technology in shaping the Industrial Internet of Things (IIoT). Manufacturers will require high data streams and the T1 Industrial from HARTING allows them to bring Ethernet from the cloud to every sensor.
Setting up the Brainboxes BB-400 and using Postman to control I/O.
WNIE TV will be central to the discussion at WNIE Live 2019, with a programme of round tables that provide a unique opportunity to hear topic-specific views from industry’s thought-leaders and innovators regarding the industry’s latest trends
The manufacturing industry is going through a massive digital transformation, but how are companies keeping up with the changes? Here is what TE Connectivity is doing to play a part in driving the potential for industry to benefit.
Even the simple inductive proximity sensor is becoming smart. This short video shows how the extra data we now get from a SICK IMC inductive sensor can prevent unplanned downtime due to contamination.
This four-part article describes a PID temperature controller built with Revolution Pi and programmed in PYTHON. It takes just view lines of code to realize an industrial-grade controller. This is part 4: MQTT and Node-Red UI.
This four-part article describes a PID temperature controller built with Revolution Pi and programmed in PYTHON. It takes just view lines of code to realize an industrial grade controller. This is part 3: The Python Program
This four-part article describes a PID temperature controller built with Revolution Pi and programmed in PYTHON. It takes just view lines of code to realize an industrial grade controller. This is part 2: Installing libraries and tools
This four-part article describes a PID temperature controller built with Revolution Pi and programmed in PYTHON. It takes just view lines of code to realize an industrial grade controller. This is part 1: Introduction and hardware setup
When designing with RF, there are many barriers that can get in the way of completing a final product. Below, are solutions to a few popular applications to make light work of the design task.
Now that we have had a closer look at the very technical differences between classical automation and IT in parts one to three, I like to share some thoughts about different business attitudes of both fields in this last part of the series.