
In the previous article, we discussed:
How the industry can avoid emotional interpretations when overseas research is amplified by social media. But the real question is not how to correct misreadings.
Rather, it is this:
Do we actually have the capability to understand light exposure in a structured way?
Without models, research remains fragmented. Without structure, engineering can only rely on experience.
In this article, we will systematically introduce three core models:
- Dose Model
- Spatial Model
- Human Model
and discuss how they connect with international standards frameworks.
I. Dose Model: Light Is Not “Good” or “Bad,” but “How Much × When”
For a long time, industry discussions around light focused mainly on three metrics:
- 照度(lux)
- 相关色温 (CCT)
- 显色指数(CRI)
However, with deeper circadian research and the release of CIE S 026, we are gradually realizing:
Human responses to light are not governed by a single visual channel.
1️⃣ The Significance of the α-opic Framework
CIE S 026 introduced five photoreceptor-weighted systems:
- S-cones
- M-cones
- L-cones
- Rods
- Melanopsin (ipRGC)
Among them, melanopic Equivalent Daylight Illuminance (m-EDI) has become a key metric for evaluating circadian stimulus.
The introduction of this framework marks the lighting industry’s transition into a multi-spectral evaluation era.
However, it must be emphasized: α-opic metrics are not “the higher, the better.”
They must be understood in conjunction with time structure.
2️⃣ Temporal Structure: The Critical Variable Often Ignored
The same m-EDI value:
- In the morning → promotes alertness
- At night → suppresses melatonin secretion
Therefore, a dose model must include:
✔ Spectrum
✔ Intensity
✔ Exposure duration
✔ Circadian phase
A complete expression:
Dose effect = f (spectrum × intensity × time × phase)
Without the time dimension, any discussion of α-opic metrics is incomplete.
3️⃣ Alignment with WELL
"(《世界人权宣言》) WELL v2 Light Concept increasingly emphasizes:
- Vertical illuminance
- Equivalent Melanopic Lux
- Daytime circadian support
- Nighttime circadian protection
This indicates that standards are shifting from visual satisfaction toward physiological appropriateness.
In practice, the industry must possess:
- On-site spectral measurement capability
- α-opic calculation capability
- Temporal evaluation capability
When LRS developed the In. Licht algorithm framework, it was precisely to address this need:
Not merely displaying SPD curves, but synchronizing α-opic weighting with spatial illuminance output, helping designers understand dose structure.
II. Spatial Model: What the Human Body Receives Is “Light Reaching the Eye”
Lighting design has long emphasized horizontal illuminance. But circadian research repeatedly shows:
Vertical illuminance at eye level is the key variable.
This means that:
- Luminaire layout
- Light direction
- Spatial scale
- Surface reflectance
- Architectural openings
all reshape the actual exposure structure.
1️⃣ The Advantage of Daylight Lies Not in “Wavelength,” but in “Structure”
Natural light provides:
- Spectral continuity
- Dynamic intensity changes
- Diurnal color temperature variation
- Spatial gradient distribution
In contrast, many indoor environments feature:
- Constant spectra throughout the day
- Uniform illuminance
- Lack of temporal rhythm
The absence of rhythmic information can blur physiological signaling.
Therefore, a spatial model must include:
✔ Vertical illuminance
✔ Dynamic curves
✔ Zoning strategies
✔ Light distribution gradients
2️⃣ Flicker: A Neural-Level Variable
Flicker is often overlooked. IEEE 1789 provides a framework for flicker safety guidance.
Flicker can affect:
- Visual comfort
- Neural fatigue
- Long-term perceptual stability
Within a light exposure management system, flicker must be evaluated in parallel with spectrum and illuminance.
This means the industry needs integrated measurement capabilities, not isolated parameter judgments.
3️⃣ The Need for Ecosystem Integration
Integrating dose and spatial models requires:
- Multi-spectral acquisition
- Vertical illuminance measurement
- Flicker analysis
- Temporal recording
This is not a single-device issue, but an ecosystem capability issue. In recent years, LRS has attempted to build an integrated framework of:
Measurement nodes + algorithm engine + reporting structure
"(《世界人权宣言》) In. Licht series serves as an on-site node, but the true core lies in: structured model integration capability.
III. Human Model: Healthy Light Must Be Layered
A common industry misconception is:
Designing one single type of “healthy light” for everyone. But human responses vary significantly.
1️⃣ Age Differences
Lens yellowing with age → reduced blue-light transmission. The same spectrum delivers different effective doses to different age groups.
2️⃣ Schedule Differences
- Night-shift workers
- Rotating-shift workers
- People with chronic insomnia
Circadian-misaligned populations require different strategies.
3️⃣ Metabolic and Health Backgrounds
People with diabetes, depression, or chronic inflammation may respond differently to light exposure structures.
International trends are moving toward: Layered design, scenario-based strategies, and dynamic management.
IV. Complete Structural Expression
Integrating all three models:
Light effect = f (spectrum × intensity × time × space × individual differences)
This is not theoretical showmanship, but a necessary condition for engineering advancement.
Only when the industry possesses:
✔ Multi-spectral measurement capability
✔ α-opic calculation capability
✔ Flicker analysis capability
✔ Dynamic curve modeling capability
✔ Human-factor stratification frameworks
can it truly enter the structured era.
V. From Models to Ecosystem
Future competition will not be about: Who makes the brightest lamp.
But about: Who can build a complete light exposure structure model, align it with CIE, WELL, IES, and other systems, and form a verifiable, repeatable engineering loop.
In the next article, we will discuss:
How to establish a responsible light exposure expression system within a scientific control framework, and why the industry should not simply return to incandescent lamps, but instead explore multi-band semiconductor integration pathways.
(To be continued)
