10/4/18

Metal factory 4.0: collect data from your machines, easily

Want to pull information from your machines no matter the type? Learn how a 4.0 factory can collect data from any machine.

Industry 4.0
Smart Factory
Metal factory 4.0: collect data from your machines, easily

In most manufacturing industries, you find production equipment of every type and age. Older machines often sit right next to the latest generation of new technology.

Becoming a smart factory means being able to pull information from your machines regardless of their type or level of technological sophistication.

Take plant XY, which runs two types of machines at opposite ends of the technology spectrum:

  • A sheet bending machine, fully mechanical 
  • A next-generation laser cutting machine.

Here are two simple examples of signals you can capture to collect your production data:

1) A legacy machine: a metal sheet bender

The example here is a metal sheet bender. Some of these machines in the field date back to the 1970s and most are still fully manual. The equipment below is used to bend metal sheets to produce boxes, for instance. The operation is performed using the bars on each side of the equipment, activated by the operator. You can play with the pivot angle of those bars to bend the plates as needed.

Sheet bender
Snap action contact switch

 

The simplest way to connect the equipment and collect data is to install a contact switch with a snap-action mechanism (as shown above).

 

As soon as the arm is engaged, the switch closes and a signal is sent. You can then monitor production in real time.

Adding multiplier or divider factors lets you count products and simplify the read. Example: 5 signals = 1 completed product. 

2) New technology: a laser cutting machine

Newer equipment is often fitted with a PLC (Programmable Logic Controller). The most common approach is to capture the "output" signal of the dry contact type (binary control) from the cutting machine's PLC. As shown in the installation diagram below, no extra equipment is needed to make a signal usable, since it is already there.

You can then see the machine status (ON or OFF) and have real-time visibility into its availability. 

 

Worximity Data Factory 4.0

Many more signal options exist, depending on your needs and what data is useful to collect. You can also read our case study on a metal industry company, Prolifik, which reduced operating costs by adopting 4.0 factory tools.

Want to learn more?
Download the ebook
Related blog articles

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Hand interacting with a futuristic digital interface displaying “2024,” AI icons, and technology symbols, representing emerging technology trends, artificial intelligence, digital transformation, innovation, and future-focused business strategy.
9
Jan 2024

Manufacturing Trends to Lookout for in 2024

English
3
Aug 2023

Embracing IIoT: The Smart Path for OEMs to Thrive with a Leading IIoT Smart Manufacturing Partner

English
21
Jul 2023

CDAP: $15,000 Grant To Jump Start Canadian Manufacturing Digital Transformation Projects

English

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Laboratory technicians in protective clothing analyzing samples and monitoring equipment in a modern industrial or scientific facility, representing data analysis, quality control, research, and operational excellence.
25
Apr 2024

How to Analyze Throughput Rate

Throughput rates are an important measure of factory performance. Not only does throughput indicate whether the factory can meet customer demand, but it's also an indicator of overall plant efficiency.

English
Industrial machinery and processing equipment inside a manufacturing facility, featuring pipes, tanks, and automated systems
13
Mar 2024

Engines of Manufacturing Efficiency: Machine Monitoring and OEE

Machine Monitoring and OEE (Overall Equipment Effectiveness) are effective at boosting overall efficiency, but what is the difference between them and what is best for your operations?

English
Person using a laptop with digital dashboards displaying charts, graphs, and performance metrics, representing data analytics, business intelligence, real-time monitoring, and data-driven decision-making.
23
Jan 2024

Optimizing Company-wide Operations: Data Analytics in the Manufacturing Industry With Worximity

Explore how Worximity is reshaping manufacturing by harnessing real-time data analytics, bringing efficiency and innovation to Industry 4.0 while empowering departments beyond production management.

English