Hi everyone, I'm Ethan. Having spent so many years in the automation industry, I often hear my peers or students complain: "Ethan, AI is so popular now—can it really help me write factory reports or optimize servo motor parameters?" When faced with these new tools, many people's first reaction is to feel they are mysterious, or even a bit resistant. Actually, once you've dissected thousands of lines of PLC logic, you'll realize this is no different from writing AI prompts: you provide the conditions (Input), and it spits out the logic (Output).
Let's start from the basics. AI isn't some magic box; it’s essentially a "black box" that processes massive amounts of data. Think of it as a fresh apprentice: the more precise your instructions (Prompts) are, the more accurate the actions it executes will be. It’s just like setting the pulse frequency for a stepper motor—if you provide the wrong signal, the machine's movement will inevitably go off course.
AI Prompts Are Like PLC Logic Sequences: Don't Give Ambiguous Signals
Breaking Down the Basics
In factory automation, the biggest taboo in programming is vague logic. For instance, if you want a servo motor to move to a position, you can't just tell the controller to "move a bit." You have to define the target position, acceleration, deceleration, and limit switches. The same logic applies to using Google Gemini to boost your productivity. If you ask it to "help me write an automation report," it will only give you a generic, almost useless template.
Try "breaking down" complex tasks. I typically set my prompts using this structure:
- Role Setting: Tell it who it is first (e.g., a Senior Automation Engineer).
- Task Breakdown: Provide clear steps (e.g., analyze this CSV file of servo system error logs and find the frequency of high-temperature alarms).
- Output Format: Request that it presents the data in tables or bullet points to make your subsequent work easier.
Thinking in Automation to Make Gemini Your Engineering Assistant
Offload Boring, Repetitive Tasks
When working on the shop floor, we have plenty of mundane chores, like organizing variable-frequency drive (VFD) parameter lists or digitizing old maintenance logs. These tasks don't require human creativity; they only require the transport of "logic." I once took photos of a stack of handwritten circuit maintenance notes and fed them to Gemini, asking it to organize them into a list. It finished it much faster than I could have by typing it myself.
Here is a pro tip: when you encounter technical documents you don't understand, don't struggle through them blindly. You can ask Gemini to explain that complex servo motor control manual in "plain English for an elementary school student." You'll find that those seemingly complex parameter settings are, when broken down, just several basic circuit principles interacting with each other.
Conclusion: Stay Curious, but Maintain an Engineer's Caution
Many people think automation is difficult because they only look at the machine's casing and never bother to take apart the motors and encoders inside. It’s the same with AI; don't be intimidated by fancy marketing terms. To me, AI is just a new wrench in my toolbox. Whether it can tighten the bolt correctly depends on how I hold it and how much force I apply.
Next time you are faced with a pile of messy reports or a foreign manual you can't read, remember: treat it like a system that needs debugging. Break the logic down clearly, feed it to the AI, and you'll find your productivity reaching a whole new level. Factory automation values "stability" and "controllability," and applying AI is essentially a form of cognitive automation engineering.
