Revolution Digital Lighting Controller
Raw power and lighting intensity is nothing without smart control. That’s why we concurrently developed the world’s smartest grow light controller—the RLC-1. While the DEva can work with your existing lighting controller, the RLC-1 can simulate sunrise and sunset, gradually warming up your plants just as Mother Nature does. It also features brown-out / black-out detection and timing for optimal light restart, a built-in clock and 30-year rated battery backup.
Crucially, the RLC-1 can even sense when temperatures in your indoor garden are too high and can automatically respond by dimming your lamps thereby mitigating environmental stress and crop damage. Output power can be fine-tuned from 600W up to 1150W in 1% increments.
The RLC-1 connects with up to 512 DEva 1000W grow lights (spread across two zones) using “buy them anywhere” standard telephone cables.
No knobs means no mistakes so if you accidentally bump into our controller it’s no big deal or loss of settings.
Built tough, with nearly zero returns, our all digital controller design outlasts and outperforms common value-engineered controllers.
Forget old-school analog and fuzzy logic! Discover the world of all digital, precision measurement and control you get with Revolution Micro aerospace-grade engineering. With its ever-learning environmental adaptation software, your AI-CO2 can understand and react to its new environment -- set any PPM level from OFF to 2000 PPM in 10 PPM steps. Just click and walk away.
We use mathematical algorithms using both adaptive feedback and feed-forward control to time gas release. This means over the course of a few hours your AI will learn and memorize the size of your room relative to the size of your burner or tank. Even after being powered down AI-CO2 retains its knowledge for perfectly calculated CO2 injection after a power outage.
Leaving nothing to chance, the remote sensor uses balanced, RS-485 digital communication for fail-safe reliability. The self-calibrating NDIR dual-beam CO2 sensor is accurate to 2%, not the 10% of typical value-engineered controls. AI-CO2 is truly in a class of it's own.