To enhance our water quality monitoring capabilities, we need to integrate this conductivity sensor with our Raspberry Pi (RPi) board. This involves several key steps:
Hardware Integration:
Connect the conductivity sensor to the RPi board.
Ensure the wiring and connection are stable and reliable for long-term deployment.
Determine if we will need to create holes in our water proof electronics enclosure for any sensors.
Software Development:
Write Python code to extract conductivity data from the sensor.
Integrate this code into the existing main loop of our water monitoring application.
Handle any sensor-specific configurations or data formatting needed for accurate readings.
Ensure proper error handling is in place so the main loop will run and work regardless if a conductivity module is even physically attached.
Documentation:
Document the hardware setup, including sensor connections, power requirements, and any special considerations.
Document the software integration, including code explanations, dependencies, and instructions for future updates or troubleshooting.
Sensor Evaluation:
The product documentation suggests that the sensor may require a meter of space between them if multiple sensors are used. We need to:
Verify if this spacing requirement impacts our setup.
Research alternative conductivity sensors that might offer similar or better performance without such space constraints.
Evaluate the alternatives and document the pros and cons of each option.
Acceptance Criteria:
The conductivity sensor is successfully connected to the Raspberry Pi and provides accurate readings.
The Python code for extracting conductivity data is fully integrated into the main loop and operates without causing delays or errors.
Detailed documentation is provided for both the hardware and software components, ensuring ease of replication and maintenance.
The space requirement of the sensor is confirmed, and alternative sensors are evaluated if needed.
The system is capable of logging conductivity data continuously and accurately as part of the water quality monitoring process.
Description:
To enhance our water quality monitoring capabilities, we need to integrate this conductivity sensor with our Raspberry Pi (RPi) board. This involves several key steps:
Hardware Integration:
Software Development:
Documentation:
Sensor Evaluation:
The product documentation suggests that the sensor may require a meter of space between them if multiple sensors are used. We need to:
Acceptance Criteria: