AI Platform Optimizes Greenhouse Lighting
Sollum Technologies unveiled SF-INFINITE™, an AI-optimized dynamic LED platform for greenhouses. The system uses edge computing and multi-channel control to create tunable light recipes, aiming to reduce capital expenditure for growers.
The core technology, Sollum's SUNaaS® cloud platform, uses AI to manage each fixture's spectrum, intensity, and timing in real-time. It can deploy crop-specific light recipes across unlimited zones and activate "tariff-aware dimming" to cut energy costs based on fluctuating electricity prices. This level of granular control with up to four independently controlled channels per fixture offers a parallel to the multi-channel DMX or DALI-2 systems used in sophisticated architectural lighting for scene-setting and dynamic effects. On-board edge computing and telemetry in each SF-INFINITE™ fixture ensure uninterrupted operation even if network connectivity is lost. This distributed intelligence model is a growing trend in smart buildings, reducing reliance on centralized cloud processing, lowering latency for real-time adjustments, and enhancing system resilience for everything from traffic management to building automation. This type of adaptive lighting directly mirrors the goals of human-centric lighting (HCL) in architecture. Chronobiology research shows that tuning light's spectral content throughout the day is critical for regulating circadian rhythms, which impact sleep, mood, and productivity. Standards like the WELL Building Standard v2 now specify requirements for Equivalent Melanopic Lux (EML) to ensure lighting designs adequately stimulate our biological clocks, particularly with blue-enriched light in the morning. Achieving these HCL goals often involves tunable white luminaires managed by sophisticated control protocols. While DALI-2 has become a global standard (IEC 62386) for interoperable, bidirectional control of luminaires, sensors, and switches, its data and monitoring capabilities are crucial for integration into larger IoT ecosystems and building automation systems. This integration allows lighting to respond intelligently to occupancy, daylight availability, and other environmental data. The SF-INFINITE™ platform's emphasis on long-term adaptability and avoiding hardware replacement aligns with the principles of a circular economy in luminaire design. This approach shifts from a "take-make-dispose" model to one focused on durability, modularity for easy repair or upgrades, and recyclability of components. As detailed in publications like *Dezeen*, leading designers see this as a fundamental shift in product strategy, moving from selling disposable assets to providing long-term, serviceable systems. For a design leader, this intersection of AI, IoT, and sustainability presents a strategic challenge. As lighting designer Bec Brittain noted in a *Dezeen* interview, the future lies in creating modular "kits of parts" that allow for customization and obsession over detail at a product level while enabling large-scale, site-specific architectural solutions. This requires a design strategy that integrates technology roadmaps with a deep understanding of user needs and sustainable principles, ultimately shaping how products are developed and brought to market.