The widespread adoption of AI shows that it has the ability to revolutionize nearly every business function. Managing the lighting design is no different!
Lighting and Artificial Intelligence
Innovative approaches to lighting design and control are commonplace in the lighting business. The industry has undergone significant transformation due to developments like the improvement of the light bulb and the advent of networked lighting components using protocols.
The potential for AI to be used in lighting management systems is exciting since it may have an effect on many different areas of the lighting life cycle.
Like auto-commissioning systems in the IT sector, a self-learning network of lighting components may communicate and set up without human interaction. The time required to activate new lighting installations will be reduced with the use of such a network.
An AI-based lighting system may optimize and adapt light settings depending on what it learns from seeing and measuring the interior environment.
How to Benefit from AI Lighting
End-users and renters aren’t the only ones who can benefit from an AI-based lighting system; building owners and facilities managers may, too.
Data is continually generated by a network of lighting components and saved on a dedicated server. Decisions can be made either locally, on the source component (such as a sensor), or remotely, on a server running the AI algorithm.
The information gathered may also be used for various kinds of Building Management Systems (BMS), such as HVAC or entry control.
Smart Lights and Privacy
In spite of its many advantages, AI technology still has certain drawbacks.
The visual stream from AI-enhanced cameras may accurately detect occupancy and motion in a room or place, but doing so legally must respect individuals’ right to privacy. The slow pace at which AI is adopted is further hindered by the fact that people still have a lot to learn about the technology.
Thankfully, privacy problems are minimal when using artificially intelligent lighting because of the widespread usage of passive infrared (PIR) movement detection sensors. Intelligent lighting systems are used by many organizations because they are a proven and true method of enhancing the user experience, increasing employee comfort and productivity, and decreasing operational costs.
Implementations of AI for the control of lighting
Some of the current and prospective uses of AI in lighting are:
- Artificial design intelligence: Feed it a building model, and it will spit out a lighting plan. In the design phase, for instance, computers may be programmed to do tasks such as arranging office lighting, laying out circuitry, and optimizing systems. To do this, we need to define the project’s objectives and give it time to develop. Designs that would normally need human effort might be generated automatically. This may be used to quickly and efficiently address issues with IES lighting levels, building alignments, and similar concerns.
- Task efficiency enhancement. In structural engineering, for instance, this is already happening to reduce steel use. Simple, widely-used algorithms have been adapted for this purpose for decades.
- Robotics and other construction equipment can benefit from AI for process and quality control by comparing the final product to the original blueprints.
- Building systems may be operated in a way that mimics human judgment thanks to operational systems that can, for example, balance the need for light with the need for a clear view, regulate the temperature in a room, and so on.
The vast majority of these programs offer answers to issues that are systematic, sequential, or data-intensive in nature. Selling pre-packaged sets of such solutions may be compared to peddling “AI black boxes”; they are pre-configured modules that can be added to an existing lighting system to improve its performance. Artificial intelligence agents will have a hard time delivering black boxes that do sophisticated duties like intelligently applying human values; instead, they will do better if they provide basic energy management products or something. Cynicism is necessary to achieve AI at higher levels of lighting application. In other words, by taking measures that are likely to bring about the complex outcomes we seek (beauty, social activity, inclusiveness, etc.).
