Introductory course · featured

From the sensor to the indicator, no shortcuts.

The starting point for anyone who runs, plans, or manages production and wants to understand what Industry 4.0 changes in plant results. Ten short lessons across two modules, two of them a conversation with the Ubivis CEO, and a PDF workbook for each module.

Introductory 2 modules 10 lessons 1h 9min Free

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Introduction to Industry 4.0 0% complete

With Joelton Gotz, PhD in Electrical Engineering. The lessons come from shop-floor problems, not from slides.

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Courses 10 lessons

Introductory Introduction to Industry 4.0 The entry course of Ub-Academy, from sensor to decision. Joelton Gotz 0% complete

In the works

What Ub-Academy is recording and writing right now.

Technical note Coming soon

In production Measuring machine downtime without installing new sensors Technical material with a named author, for teams that need the downtime number before they have a budget for instrumentation.

Audio Coming soon

In production The videocast with the CEO, full episode Both conversations in a single episode, to listen to on the way to the plant.

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The track

Every lesson answers one question

The order is there for a reason: you cannot pick an indicator before you know what the machine can count. Keep scrolling to walk through it.

Lesson · 6 min

Introduction: why going digital changes the bottom line

Every plant has three ways to grow: charge more, produce more, or spend less. In a crowded market the first two stall, and the third is what is left. This lesson shows where digitalization cuts cost, and where Ubivis fits in.

What a plant is chasing, and which of those goals technology reaches first
Where live data meets bottlenecks, waste, and energy use
What each lesson in this module covers

Lesson · 6 min

What Industry 4.0 is

From craft production to the connected plant, in four leaps. The lesson walks through the three earlier revolutions, shows what the fourth adds by joining the physical and the digital, and introduces the fifth, which puts sustainability and people at the centre.

Steam, electricity, and the PLC: what each revolution solved
IoT, artificial intelligence, computer vision, and cloud on the shop floor
Industry 5.0, and why it talks about people
Maturity levels: every plant starts from a different point

Videocast · 9 min

The Ubivis story, with the CEO

A conversation with Paulo Henrique Garcia de Souza about his background, the early projects, and the market need that brought Ubivis into being. He explains how the company reached Industry 4.0 through practice, one project at a time.

The training and the career hurdles that came before the company
Which shop-floor problem gave rise to Ubivis
How digitalization, data, and artificial intelligence entered the product

Videocast · 8 min

The industry of the future

Part two of the conversation with the CEO. The subject now is where manufacturing is heading: what connectivity and data-driven decisions have already changed, what still stalls inside companies, and what Industry 5.0 proposes.

Productivity and competitiveness: where technology has already paid off
The obstacles that show up in every digital transformation
Industry 5.0: customization, sustainability, and ethical use of technology
The skills the next decade will ask for

Lesson · 7 min

How to reach the fourth industrial revolution

Buying sensors, software, and artificial intelligence puts nobody in Industry 4.0. This lesson covers what comes first: monitoring to have data, standardizing the process, integrating systems, and building the habit of deciding by the numbers.

The mistake of treating purchased technology as a finished transformation
Monitoring as the first step, at any level of automation
Why artificial intelligence projects fail when the data foundation is thin
Pilots, proofs of concept, and steady improvement instead of one big leap

Lesson · 9 min

How to digitize a process: sensors or actuators?

Going digital starts by understanding the process and deciding which information has to come out of it. On an injection machine, one sensor counts parts and that becomes cycle time, output and downtime. On a press brake, a sensor and a power meter show output, availability and energy use.

The first step, which is choosing what to measure before choosing the sensor
A sensor turns a physical event into a signal; an actuator carries out what control decided
Three indicators a press brake gives you, and what to do with them on the board and the Andon

Lesson · 8 min

What is the difference between digital and analog signals?

Temperature and pressure can take any value inside a range; finished parts and cycles are counted. They are different in nature and they ask for different signals. This lesson covers the field standards and what picking the wrong one costs you.

Continuous quantities and discrete counts, and how that decides the sensor
The field standards: 0 to 10 V, 0 to 20 mA, 4 to 20 mA, and the 24 V of a digital signal
Why 4 to 20 mA became the standard: at 0 mA the cable broke, which is not the same as zero

Lesson · 7 min

The Internet of Things

IoT is a physical object connected and exchanging information, from the lamp in your living room to the equipment on the shop floor. What changes between one case and the other is the network: range, power draw and available infrastructure decide the technology.

The path a command travels until the device carries out the action
Wi-Fi, LoRaWAN, Sigfox and NB-IoT, and what makes you pick one of them
Why a dedicated IoT network takes load off the plant corporate network and protects it

Lesson · 6 min

IIoT vs. IoT

The same sensors and the same connectivity face different demands once they enter a plant. A smart lamp that fails is a minute of annoyance; a production line that fails stops machines and creates risk. This lesson separates monitoring from critical control.

What changes from home IoT to plant IIoT, in purpose and in the cost of failure
Online systems and real time systems, and why the PLC stays in the second group
Why cyber security weighs more once a device can see the industrial network

Lesson · 5 min

Business case: UB-IOT across 20 plants with SENAI

In 2022 an innovation grant funded the first version of UB-IOT, and SENAI Paraná took it to 20 metalworking plants. Press brakes, welding machines, CNC machining centers and robotic arms came in through a sensor or straight from the PLC.

Where the first version of UB-IOT came from, and what the grant asked for in return
The machines in the proof of concept, and how data came out of each one
What happened after the proof of concept ended, and the move into Brasil Mais Produtivo

A stopped machine gives no warning. The data does.

Who teaches

Joelton Gotz

PhD in Electrical Engineering, researcher in industrial systems. The lessons come from real shop-floor problems: what the controller already knows and nobody went to fetch, why the pretty dashboard does not change the shift, and how to pick a first indicator without turning the team into spreadsheet clerks.

Research in industrial systemsIoT and automationPredictive maintenance

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