Core Technologies of Smart Lighting

The core technology system of smart lighting mainly consists of wireless communication, smart interconnection protocols, human-centered lighting algorithms, the integration of artificial intelligence and the Internet of Things (IoT), environmental sensing, and underlying network management technologies to achieve automation, personalization, and intelligence of lighting equipment.

Smart lights generally use wireless communication protocols to achieve device networking and control. For example, the Bluetooth Mesh 5.0 protocol can improve device response speed to 0.1 seconds.

To achieve interoperability between products from different brands, the industry is actively adopting unified smart home protocols. For example, the adoption of the Matter 1.4.1 protocol in 2025 ensures compatibility between smart lighting products from different brands.

Human-centered lighting, aiming to support human health and well-being by simulating natural sunlight, has become a technological focus. Research shows that lighting can significantly affect mood, productivity, and sleep cycles. Adjustable white LED systems can automatically adjust color temperature and brightness throughout the day according to the human circadian rhythm. Some technologies have integrated circadian lighting algorithms to simulate sunrise and sunset light changes.

The deep integration of artificial intelligence algorithms and IoT technology enables smart lighting systems to possess environmental sensing, user habit learning, and proactive service capabilities. For example, AI algorithms can be used to develop functions such as autonomous color recognition, ambient lighting creation, big data collection and analysis (e.g., passenger flow statistics, heat map generation), and gesture interaction. AI sensors integrating passenger flow statistics, heat map analysis, seamless interaction, and gesture recognition have been applied in diverse scenarios.

Deep integration of environmental sensors and lighting equipment is the foundation for achieving automated and contextualized lighting control.

Efficient underlying network management technology is crucial for ensuring the stable operation of large-scale intelligent lighting systems. For instance, innovative network node management methods improve network performance through the following processes: responding to re-entry requests from lighting devices by verifying their identity and security status; generating temporary session keys and configuring network parameters for the devices to establish temporary communication links; generating and distributing a list of preferred parent nodes based on the devices' historical profiles and current network information; and after a device establishes a connection with a parent node, acquiring and distributing migration data based on its historical profile, enabling it to operate based on the migration data. This method can significantly improve the re-entry efficiency of lighting devices, thereby enhancing the overall performance of home intelligent lighting networks.