Optimizing Irrigation Automation with Weather Data

General
1

I recently implemented an irrigation system using AccuWeather API to determine if watering should occur based on rain probability and volume. The setup involves sensors and automation rules to manage irrigation efficiently. However, I’ve noticed an unexpected increase in API call counts, which I initially thought was due to a single daily API request.

Here’s a brief overview of my configuration:

  1. AccuWeather Integration: I’ve set up multiple sensors to capture rain probability and volume for the next five days. Each sensor is updated every 360 seconds.
  2. Automation Rules: I’ve created rules to calculate average rain probabilities and total volumes for each day and night, which help in deciding whether to activate the irrigation system.
  3. API Call Monitoring: According to AccuWeather, I’m hitting around 10 API calls per hour, which is puzzling because I believe I’m making only one API request.

Questions and Observations:

  • Could there be an issue with how I’m structuring my API requests or parsing the data?
  • Is there a more efficient way to retrieve and process the weather data to minimize API usage?
  • Have others encountered similar issues when integrating weather APIs into their automation systems?

I’d appreciate any insights or best practices for optimizing API usage while maintaining the functionality of my irrigation automation. Let’s collaborate to find a solution that balances efficiency and effectiveness!