ESP32 Sensor Integration for Industrial Machinery -- I will only react on personal bid, with an description on what you can bring to the project --

Job ID: 39175614

Budget: €12 – €18 EUR

I'm working on a exiting project that requires the integration of various sensors with an ESP32 for controlling and automating of an hobby/craftbrewery. The primary sensor for this project are rtd temperature sensor, along with an ADS1263 and a load cell with a 4 to 1 ratio. ADS1263 needs to able to handle all difference sort of sensors in future (pressure, hall, ph, ...)

Key Responsibilities:
- Sensor Integration: The main objective is to effectively integrate these sensors with the ESP32S3 to the host that runs python.
- First task would be configuring ads1263, communication with python, PID, and pwm output.

Ideal Skills and Experience:
- Proficiency in Python and C++: Essential for coding the ESP32 and the sensors.
- Experience with ESP32: Prior experience with this specific microcontroller is highly desirable.
- Knowledge of sensor integration: Especially with temperature sensors, ADS1263, and load cells.
- Industrial Machinery: Familiarity with controlling and automating industrial machinery is a plus.
- Knowledge about PID systems is a plus, adaptive pid or AI is an even bigger plus (just essential to start in future)
- creating almost real time processing with esp32 and python (temperature esp32 - pid control python - esp32 pwm
- further knowledge about Beer Brewing and automatization in small production. Which sensors using how etc ...

This project will require a freelancer who can deliver effective sensor integration and automation for industrial machinery using the ESP32. The project is not time sensitive and I rather would have lot of communication so that development is precisely as expected. Many aspects can be tested before we go to the next challenge (RTD, Loadcell, PWM, Integration, data collection, adaptive pid/ML pid, optimization and other)

Feel free to contact me if you are interested, even if you want to partially contribute.