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There was just enough space inside this enclosure for a nice neat snug fit.
OPENSPRINKLER PYTHON PRO
Step 1: Mount and Connect to Network / Valvesīeing a small unit I elected to mount OpenSprinkler inside my Homevision Pro enclosure. So whilst I am a big advocate of OpenSprinkler I decided to just use it as a ‘dumb’ TCP/IP irrigation controller and let Homevision Pro call all the shots. – If it rained 7mm of rain over night but isn’t raining when the cycle is set to start do I really need to water? – If today is going to be 40C do we need to alter how much water is being dispersed and at what time But it cant water based on more advanced weather conditions. It can water based on timers and a rain sensor. Opensprinkler is a great product but it is also quite basic in its logic. What drew me to OpenSprinkler was that it was an irrigation controller that was TCP/IP enabled and after more investigation I figured I could make simple HTTP GET’s to control the system. I looked at using the Homevision Pro but didn’t really want to waste valuable output ports and upon reading a website I regular read I elected to use a product. It was for that reason alone I didn’t want another system separate to the Homevision Pro calling the shots.
![opensprinkler python opensprinkler python](https://i.pinimg.com/originals/f9/a9/89/f9a989ee76f83496cc4515bf26ecd205.jpg)
What quickly became apparent on my home automation journey is that the more sensors I had connected to my Homevision Pro the more powerful my decision logic could be. With a growing busy family I can’t guarantee that our plants and lawn can be watered Before we started landscaping I had grand plans for irrigation for our house.