The Light Formula Research Institute launches the world's first white light quality evaluation system and in.Licht well three-in-one health sensor, and joins hands with Welltek OS to build an adapti

Today, the Light Formula Research Institute and inSona officially released two innovative technologies at the Guangzhou Guangya Exhibition: the world's first "White Light Quality Preference Evaluation System" APP based on human psychological preferences and the "in.Licht Well whole-house healthy light environment system" that is deeply integrated with the WELL standard. This release marks the lighting industry's move from objective parameter measurement to a new era of human perception science, providing key technical support for the construction of healthy human settlements.

Core Highlights

1. Major upgrade of in.Licht Ultra. Release of a new APP "In.Licht Ultra-Color Quality" specially designed for light quality evaluation

- For the first time in the world, the "white light quality preference evaluation system developed by the team of Professor Liu Qiang of Wuhan University" is integrated. Combined with the high-precision spectral analysis algorithm independently developed by the in.Licht team, it can dynamically analyze the enhancement/weakening effect of the light source on the color of the object, provide a visual decision-making tool for lamp design and space light environment customization, and promote "people-oriented" refined control of light quality.

Please see Appendix 1 for details: The differences in the theoretical basis, evaluation dimensions and application goals of color quality evaluation between the IES TM-30 standard and the white light color quality preference index (MCPI) proposed by Professor Liu Qiang of Wuhan University.

2. in.Licht well’s global debut: following Pro and Ultra, in.Licht continues to build a scientifically sensible defense line for healthy living, and strengthens in-depth integration with WELL international standards: through real-time monitoring of 19 key parameters (light: EML, strobe SVM/Pst LM, CCT; air: PM2.5/CO2/TVOC, etc.), accurate coverage of WELL The v2 standard includes halo (L02, L03, L07, L08, L09), air quality (A08) and thermal comfort (T01, T07) requirements, and the "Works with WELL" product certification process has been launched.

- The industry's first three-in-one sensor that integrates light environment, air quality, and thermal comfort.

- Accurately monitor PM2.5, PM10, CO2, TVOC, formaldehyde, temperature and humidity and other parameters, and link the ventilation system through "dynamic threshold alarm" (such as automatic dimming of high EML at night).

- Supports BLE Mesh 5.0/WiFi protocol and seamlessly connects to Welltek OS, inSona and other building management and lighting management platforms.

See Appendix 2 for details: in.Licht Well detailed picture

3. Breakthrough in ecological cooperation: In.Licht Ecosystem Integration Partnership Plan

- Ecological collaboration empowers healthy spaces:

Combined with Delos Welltek OS healthy building operating system and inSona intelligent IoT ecosystem to achieve a "monitoring-analysis-regulation" closed loop:

Dynamically adjust circadian rhythm lighting (such as automatically suppressing high EML blue light at night)

Immediately linking the fresh air system when the air exceeds the standard

Supports adaptive solutions for office buildings, hospitals, residences, etc.

- In response to the national "good house" policy:

With the goal of "healthy living" advocated by Minister Ni Hong of the Ministry of Housing and Urban-Rural Development, we provide residential and public buildings with healthy environmental technology models that are in line with China's national conditions.

- Deep integration of Welltek OS: realizes adaptive adjustment of light environment in office buildings, reduces energy consumption by 25%, and improves user comfort by 40% (from the Delos case).

-inSona and Bull Muguang strategic applications: provide UUID data tags for lighting manufacturers, generate WELL compliance reports on-site, and "what you see is what you get" data trust accelerates the customer decision-making cycle by 15%.

Key Agenda of the Press Conference

Theme 1: White Light Scientific Revolution

- Professor Liu Qiang of Wuhan University released the "White Light Quality Preference Evaluation System" to solve the problem of quantifying artificial light visual comfort.

- Live demonstration in.Licht Ultra APP, real-time analysis of spectral data and health scores.

Topic 2: Health Ecological Alliance

- IWBI officially certified "Works with WELL", recognizing in.Licht Eell's full-stack support for the WELL v2 standard.

- Delos Welltek shares the implementation case of "Whole House Health Monitoring System".

- inSona General Manager Chen Xia and Bull Muguang General Manager Jiang Jinbiao demonstrated the new B2B paradigm of "using data to tell good light stories".

Summary

1. Academic authority: the combination of evidence-based research and industrial application by Professor Liu Qiang's team

2. Technology scarcity: the world's first light preference APP + Welltek deeply integrated system

3. Policy relevance: responding to the "Good House" national strategy and creating social value

4. Ecological foresight: Delos & IWBI authoritative institutions cooperate with leading enterprises

About the Light Formula Research Institute

It has built a healthy light technology moat with more than 60 global patents, and its core covers human factors lighting algorithms, multispectral rhythm databases and medical-grade phototherapy solutions. Join hands with partners such as Delos, Shidelang, inSona, and Bull Muguang to serve global healthy buildings.

"We not only measure light, but also build the cornerstone of a healthy life." - Lin Jiliang, founder of the Light Formula Research Institute

Attachment 1

Differences in the theoretical basis, evaluation dimensions and application goals of color quality evaluation between the IES TM-30 standard and the new national standard technology for white light color quality proposed by Professor Liu Qiang of Wuhan University

Technical similarities: Both systems are based on the latest technological concepts in colorimetry, and both use Rf to replace the traditional color rendering index Ra, which is in line with the latest technical guidance of the International Commission on Illumination.

The core difference between the two:

1. IES TM-30 system

1. Standardized multi-dimensional evaluation system

- Fidelity (Rf): Reflects the ability of the light source to restore the standard color sample (1-100 points)

- Color gamut index (Rg): Characterizes the extent of color saturation relative to the reference light source (60-140 points)

- Hue consistency (Hue) Shift): Hue shift analysis of 16 hue angles

- Dynamic color gamut diagram: visualization of two-dimensional color gamut distribution (different from the single value of traditional CRI)

2. Data basis

Relying on the spectral reflectance database of more than 99 standard color samples (more than 10 times expanded than the 8 colors of CIE CRI), and calculated through the CIECAM02 color adaptation model, it is closer to the visual perception characteristics of the human eye.

3. Application scenarios

For general lighting design, it is suitable for objective evaluation of light sources in the full color temperature range from warm light to cold light. It is listed as an industry recommended standard by the North American Illuminating Engineering Society.

2. New national standard system by Professor Liu Qiang’s team of Wuhan University

According to the official documents of the International Commission on Illumination (CIE), light source color rendering and light source color rendering quality (color rendition) are two different concepts. In the International Lighting Dictionary (ILV: International Lighting Vocabulary, 2nd Edition, CIE S 017/E:2020) promulgated by CIE, color rendering of a light source is defined as "the influence of an illuminant on the perceived color of an object, which is produced by consciously or subconsciously comparing it with the perceived color of the object under a reference illuminant." However, CIE also defines "color rendition" in the technical report CIE 224:2017, which means: "the influence of the illuminant on the perceived color of the object." Compared with the color rendering of the light source, the definition of the color rendering quality of the light source is related to Regardless of the reference light source, fewer restrictions mean broader implications. At the same time, in order to avoid the relatively narrow sense of color rendering being misunderstood as having a broader color rendering quality (color rendition), the technical report CIE 224:2017 defines a more specific color fidelity (colour fidelity) to replace the description of color rendering.

In addition to light source color rendering (fidelity), other dimensions of light source color rendering quality are also core indicators for measuring the quality of light source products. With the advancement of semiconductor lighting technology and the popularization of the concept of human-oriented lighting, consumers' requirements for the visual effects of light source products' color rendering are increasingly increasing. Up to now, the connotation of lighting color rendering quality has gradually expanded from traditional color fidelity attributes to multi-dimensional visual attributes, including color preference, color resolution, color naturalness, color comfort, etc. Among them, illumination color preference and illumination color discrimination are the frontier issues in the current research on the color rendering quality of light sources. Illumination color preference corresponds to human vision's enjoyment of the color appearance of illuminated objects, and illumination color discrimination represents human vision's recognition of object color differences under lighting conditions.

At present, although CIE has clearly stated that the color rendering index Ra is neither accurate nor comprehensive in quantifying the color rendering effect of LED light sources, Ra is still the most widely used specification at the international level. In addition, in 2015, the North American Illuminating Association proposed the IES TM-30 system (CIE 224:2017, ANSI/IES TM-30 Standards), which describes the color rendering of light sources through the color fidelity index Rf and the color gamut index Rg. Subsequently, CIE proposed CIE Rf based on IES TM-30 Rf with simple modifications.

However, since the above methods are all based on quantification of reference illuminants at a specific color temperature, they all fall into the category of color rendering and cannot achieve an accurate comparison of the color rendering quality of light sources with different color temperatures. At the same time, because the Rg index cannot directly relate to visual preferences and visual sensations such as discrimination, it is inconvenient to use. In contrast, my country's standards also have similar problems. At present, my country's relevant standards (such as GB/T 26180-2010, GB/T 5702-2019, QB/T 5208-2017, GB/T 2900.65-2023, etc.) are mainly compiled with reference to the CIE color rendering index and IES TM-30 system. They do not involve the definition and quantification method of the color rendering quality of the light source. At the same time, it is impossible to achieve a direct comparison of the color rendering effects of light sources with different color temperatures.

Based on the above, the new national standard aims to establish a comprehensive evaluation method for the color rendering quality of white light sources from the perspectives of illumination color fidelity, illumination color preference and illumination color resolution. The new national standard is different from the existing light source color rendering evaluation method. While predicting the light color preference and light color resolution attributes more intuitively, it also establishes a relative and absolute index system to achieve accurate comparison of the color rendering quality of white light sources under the same and different color temperatures. This method can be used as an effective supplement to the light source color rendering evaluation method, and can provide a more comprehensive and comprehensive quantitative characterization of the color rendering effect of white light sources from the perspective of light source color rendering quality.

At present, the corresponding national standard "White Light Source Color Rendering Quality Evaluation Method" has been approved for project approval and is in the standard preparation stage. It is expected to be officially implemented in early 2026.

Note: Chapter 7 "Explanatory Comments" of GB/T 26180-2010 "Expression and Measurement Methods of Color Rendering of Light Sources":

"The index (color rendering index) is not an absolute value. For example, a daylight lamp of 6500 K and a warm white lamp of 3000 K, which have the same color rendering index of close to 100, deviate essentially the same from their respective reference illuminants, namely CIED65 and Planck 3 000 K radiators. The color rendering properties of these reference illuminants differ between each other, and this also applies to both measured light sources, even if they have the same general color rendering index" (That is, the color rendering index cannot be compared across color temperatures) Appendix A of GB/T 5702-2019 "Evaluation Method for Color Rendering of Light Sources": "The color rendering index is an evaluation method based on the impact of the light source on color fidelity. However, this method does not reflect the impact on human perception of factors such as the increase in saturation caused by the color difference of the color sample caused by the light source."

QB/T 5208-2017 "Evaluation Method for Color Rendering of Light Sources" Appendix C:

"In addition to color restoration (fidelity) performance, the color rendering of light sources also has other characteristics such as color identification and color preference."

The foregoing discussion clearly points out the limitation that color rendering index cannot be compared across color temperatures; at the same time, it also emphasizes the importance of formulating color rendering quality standards. It can be seen that formulating relevant standards for quantification of color rendering quality is crucial to supplement and improve the white light source quality evaluation system.

The "Three Magic Weapons" of the new national standard: A full-dimensional evaluation from the laboratory to life scenes expands the white light source quality evaluation from a single dimension of "color reproducibility" to the three core indicators of "color fidelity, color preference, and color resolution" for the first time:

· Color fidelity (CIE-Rf): ensures that the color of objects under the light is close to reality;

·Color Preference (MCPI): Makes colors under lighting more in line with the aesthetic preferences of the human eye (such as brighter fruits, more natural skin tones);

·Color Discrimination (CDM): Helps the human eye identify subtle color differences (such as cultural relic restoration, medical color identification, etc.).

Among them, the MCPI and CDM models proposed by the Wuhan University team are based on more than a hundred published research cases in the international academic field. Its visual prediction accuracy in terms of color preference and color resolution is significantly better than the traditional color rendering index, IES TM-30, CQS and other existing more than 30 types of light quality indicators. Relevant results have been published in authoritative international journals and have passed the scientific and technological achievements appraisal of the China Illuminating Society. The appraisal opinion is that it is internationally leading in academic research and internationally advanced in industrial application. The technical achievements won the first prize for scientific and technological innovation in the China Lighting Award issued by the China Illuminating Society. They have been widely used in more than 30 leading units such as the National Museum of China, the National Library of China, China Construction Third Engineering Bureau, Opple, Fo Zhao, Bull, Lidaxin, Bridgelux, Seaton, Haier, Tongfang, Shengpu, etc., and have been included in the TUV certification system.

References:

1. Huang et al. Towards an optimum color preference metric for white light sources: a comprehensive investigation based on empirical data, Optics Express, 2021.

2. Liu et al., Color discrimination metric based on the neutrality of lighting and hue transposition quantification, Opt. Lett. 45, 6062-6065 (2020)

3. Liu et al., Color discrimination metric based on the neutrality of lighting and hue transposition quantification, Opt. Lett. 45, 6062-6065 (2020)

3. Key differences comparison table

4. Practical application

Current research trends show that integrating and applying the objective measurement system of TM-30 with Wuhan University's new national standard technology can effectively supplement technical deficiencies such as traditional color rendering quantification methods. While meeting the need for light quality cross-color temperature comparisons, it can also provide a more comprehensive and comprehensive quantitative characterization of the color rendering effect of white light sources.