Communicating between different devices in a factory setting is challenging because machines and devices often speak different languages, with a mix of protocols like GPIB, RS232, USB, and Ethernet.
And this is precisely where Python tools like pyVISA come in handy. They simplify controlling devices, no matter their interface.
Picture a machine designed for PCB testing. When you slot in the PCB, on the reverse side, two types of pins come into play:
- power pins that ensure the correct power supply is delivered to corresponding points on the PCB,
- measurement pins, connected to the measuring device, that detect changes in the PCBs electrical signals.
With the right power supply secured at one location via the power pins, the machine then leverages the measurement pins to take readings on the PCB, capturing variances in current or voltage.
This allows you to review and confirm the efficiency of electrical flows and voltage maintenance. Such processes or switches might occur multiple times during a single test cycle, ensuring comprehensive assessment.
In such a machine, Python acts as the middleman, facilitating dialogues between devices. It sends a message, waits for an answer, and when the data comes in, it processes and archives it, making it ready for immediate distribution.
On top of that, Python automates the whole testing process and controls at least three devices: a relay card that connects the appropriate points to the input/output of the corresponding measuring/power supply device, a power supply on which it sets the appropriate voltage value and outputs it, and a measuring device that sets it to the suitable measuring range and takes the reading.
Why does this matter?
Primarily, Python minimizes human mistakes, such as misentries, imprecise measurements, or incorrect pin placements that can lead to false readings.
Second, a fully automatic process saves much time on manually setting power supplies and connecting to points on the PCB.
Finally, enhanced by API integrations, Python's continuous oversight keeps the team updated in real time, alerting them when measurements stray from the norm.
But that’s not all.
