LABST๊ฐ€ ์ œ์•ˆํ•˜๋Š” ๋ฏธ๋ž˜ ์‹คํ—˜์‹ค ํŠธ๋ Œ๋“œ
Future Laboratory Trends Proposed by LABST
LABST
LABST๊ฐ€ ์ œ์•ˆํ•˜๋Š” ๋ฏธ๋ž˜ ์‹คํ—˜์‹ค ํŠธ๋ Œ๋“œ
Future Laboratory Trends Proposed by LABST
LABST

๐ŸŒ€ LABST๊ฐ€ ์ œ์•ˆํ•˜๋Š” ๋ฏธ๋ž˜ ์‹คํ—˜์‹ค ํŠธ๋ Œ๋“œ (Future Laboratory Trends Proposed by LABST)

L.A.B. (Live ยท Adaptive ยท Brain) Smart Lab

โ€œ์‹คํ—˜์‹ค์ด ๋‹น์‹ ์„ ๊ธฐ์–ตํ•ฉ๋‹ˆ๋‹ค.โ€ โ€œA lab that remembers you.โ€

Live โ€“ ์‹ค์‹œ๊ฐ„ ์—ฐ๊ฒฐ์„ฑ๊ณผ ๋ชจ๋‹ˆํ„ฐ๋ง


"์ง€๊ธˆ ์ด ์ˆœ๊ฐ„, ์‹คํ—˜์‹ค์€ ๋‹น์‹ ๊ณผ ํ•จ๊ป˜ ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค."


Live๋Š” ์‹คํ—˜์‹ค ๋‚ด ๋ชจ๋“  ํ™œ๋™์„ ์‹ค์‹œ๊ฐ„์œผ๋กœ ๊ฐ์ง€ํ•˜๊ณ  ์‹œ๊ฐํ™”ํ•˜๋Š” ๊ธฐ๋Šฅ์„ ์˜๋ฏธ. 

ํ™˜๊ฒฝ ์„ผ์„œ์™€ ์—ฐ๋™๋œ IoT ์‹œ์Šคํ…œ์ด ๊ณต์กฐ ์ƒํƒœ(์˜จ๋„, ์Šต๋„, COโ‚‚, ์ž…์ž์ˆ˜ ๋“ฑ), ์‹คํ—˜ ์žฅ๋น„์˜ ์ž‘๋™ ์—ฌ๋ถ€, ์‚ฌ์šฉ์ž์˜ ์ด๋™ ๋™์„ , ์žฌ์‹ค ์—ฌ๋ถ€ ๋“ฑ์„ ๋ชจ๋‹ˆํ„ฐ๋ง ํ•จ.


๊ธฐ์ˆ  ์š”์†Œ

์˜จ์Šต๋„, ์กฐ๋„, COโ‚‚ ์„ผ์„œ 

์‹คํ—˜์‹ค ํ™˜๊ฒฝ ๋Œ€์‹œ๋ณด๋“œ (Web / Mobile)

์‹ค์‹œ๊ฐ„ ์•Œ๋žŒ ์—ฐ๋™ ์‹œ์Šคํ…œ (ex: ๊ณต์กฐ ์ด์ƒ ์‹œ ์ฆ‰์‹œ ๊ด€๋ฆฌ์ž ์•Œ๋ฆผ)

CCTV + ์—ด๊ฐ์ง€๊ธฐ ์—ฐ๋™ (์•ˆ์ „์„ฑ ํ–ฅ์ƒ)


์˜ˆ์˜ค์—ผ์ด ์šฐ๋ ค๋˜๋Š” ๋ถ„์„์‹ค์—์„œ ์‹ค์‹œ๊ฐ„ ์ž…์ž ์ˆ˜ ์ฆ๊ฐ€ ์‹œ ๊ฒฝ๋ณด ๋ฐœ์ƒ ์‹คํ—˜์‹ค ๊ด€๋ฆฌ์ž ์•ฑ์—์„œ ์žฅ๋น„ ๊ฐ€๋™๋ฅ , ๊ณต์กฐ ์ƒํƒœ, ์ถœ์ž… ํ˜„ํ™ฉ ํ™•์ธ ๊ฐ€๋Šฅ


โ€œLive data flows seamlessly from every corner of the lab โ€” enabling instant visibility into your environment, user patterns, and system performance.โ€

Adaptive โ€“ ์œ ์—ฐํ•˜๊ฒŒ ๋ณ€ํ™”ํ•˜๋Š” ์‹คํ—˜์‹ค ๊ตฌ์กฐ


"์‹คํ—˜์‹ค์ด ์—ฐ๊ตฌ ๋ชฉ์ ์— ๋”ฐ๋ผ ํ˜•ํƒœ๋ฅผ ๋ฐ”๊ฟ‰๋‹ˆ๋‹ค."


Adaptive๋Š” IoT ๋ชจ๋“ˆ๊ณผ ์ž๋™ํ™”๋œ ๊ฐ€๊ตฌ ์‹œ์Šคํ…œ์„ ํ†ตํ•ด, ์‹คํ—˜ ๋ชฉ์ ยท์ž‘์—… ๋ฐฉ์‹ยท์‚ฌ์šฉ์ž ์ˆ˜์— ๋”ฐ๋ผ ๊ณต๊ฐ„ ๊ตฌ์กฐ์™€ ์‹ค๋‚ด ํ™˜๊ฒฝ์ด ์ž๋™ ์กฐ์ •๋˜๋Š” ๊ธฐ๋Šฅ.


๊ธฐ์ˆ  ์š”์†Œ

๋ชจ๋“ˆํ˜• ์‹คํ—˜๋Œ€ (๋†’์ด ์กฐ์ ˆ, ์œ„์น˜ ์ด๋™ ๊ฐ€๋Šฅ)

์ž๋™ ๋ฐฐ๊ธฐ๊ตฌ ์ „ํ™˜ ์‹œ์Šคํ…œ (ํ•„์š” ์‹œ ํŠน์ • ์‹ค๋งŒ ํ™˜๊ธฐ)

๋™์ž‘ ๊ฐ์ง€ ๊ธฐ๋ฐ˜ ์กฐ๋ช… ๋ฐ ์ „์› ์ œ์–ด

IoT ๊ธฐ๋ฐ˜ ํ”Œ๋Ÿฌ๊ทธ-์•ค-ํ”Œ๋ ˆ์ด ์žฅ๋น„ ์ธํ„ฐํŽ˜์ด์Šค


์˜ˆ๋ฐ”์ด์˜ค๋žฉ โ†’ ๊ธฐ๊ธฐ ์ค‘์‹ฌ ๋ ˆ์ด์•„์›ƒ โ†’ ๋ถ„์„๋žฉ์œผ๋กœ ์ „ํ™˜ ์‹œ ๋ชจ๋“ˆ ํ…Œ์ด๋ธ” ํšŒ์ „/์ด๋™


์‹œ์•ฝ ์ค€๋น„ ๊ตฌ์—ญ์€ ์กฐ๋„๊ฐ€ ๋†’๊ณ , ๋ถ„์„ ๊ตฌ์—ญ์€ ๊ฐ„์ ‘์กฐ๋ช…์œผ๋กœ ์ž๋™ ๋ณ€๊ฒฝ


โ€œThe lab configures itself in real-time โ€” adjusting workstations, airflow, and lighting based on experimental objectives and personnel flow.โ€

Brain โ€“ AI ๊ธฐ๋ฐ˜ ์‚ฌ์šฉ์ž ๋งž์ถคํ˜• ํ™˜๊ฒฝ ์ œ์–ด


"์—ฐ๊ตฌ์ž์˜ ์Šคํƒ€์ผ์„ ๊ธฐ์–ตํ•˜๋Š” ์‹คํ—˜์‹ค."


Brain์€ AI ์—”์ง„์ด ์—ฐ๊ตฌ์ž์˜ ํ–‰๋™, ์Šต๊ด€, ์‹คํ—˜ ํŒจํ„ด์„ ํ•™์Šตํ•˜์—ฌ ์˜จ๋„, ํ’์†, ์กฐ๋ช… ๋ฐ๊ธฐ, ๊ธฐ๊ธฐ ์ดˆ๊ธฐํ™” ์กฐ๊ฑด ๋“ฑ์„ ๊ฐœ์ธ ๋งž์ถคํ˜•์œผ๋กœ ์ž๋™ ์„ค์ •ํ•˜๋Š” ๊ธฐ๋Šฅ.

์‚ฌ์šฉ์ž์˜ ์ถœ์ž… ์‹œ๊ฐ„, ์„ ํ˜ธ ํ™˜๊ฒฝ, ์‹คํ—˜ ๋ฐฉ์‹ ๋“ฑ์„ ๋ถ„์„ํ•ด ๋Šฅ๋™์ ์œผ๋กœ ์‹คํ—˜์‹ค ํ™˜๊ฒฝ์„ ์ตœ์ ํ™”.


๊ธฐ์ˆ  ์š”์†Œ

์‚ฌ์šฉ์ž ID ๊ธฐ๋ฐ˜ ํ™˜๊ฒฝ ํ”„๋กœํ•„ ์ €์žฅ (e.g., RFID, ์ƒ์ฒด ์ธ์‹, ์•ฑ ์—ฐ๋™)

๊ธฐ๊ณ„ํ•™์Šต ๊ธฐ๋ฐ˜ ํ™˜๊ฒฝ ์„ค์ • ์ถ”์ฒœ (ex: โ€˜์—ฐ๊ตฌ์ž A๊ฐ€ ๋“ค์–ด์˜ค๋ฉด ์กฐ๋„ 75%๋กœ ์ž๋™ ์„ค์ •โ€™)

AI ๊ธฐ๋ฐ˜ ์—๋„ˆ์ง€ ์ ˆ๊ฐ ์•Œ๊ณ ๋ฆฌ์ฆ˜

์‹คํ—˜ ๋ชฉ์  ๊ธฐ๋ฐ˜ ๊ฐ€์Šค/๊ธ‰๊ธฐ๋Ÿ‰ ์ž๋™ ์กฐ์ •


์˜ˆ์•ผ๊ฐ„ ์‹คํ—˜ ์‹œ ์ž๋™์œผ๋กœ ์†Œ๋“ฑ ๋ชจ๋“œ, ํ•„์š” ๊ตฌ์—ญ๋งŒ ๊ฐ„์ ‘์กฐ๋ช… ์œ ์ง€

ํŠน์ • ์‚ฌ์šฉ์ž๊ฐ€ ๋“ค์–ด์˜ค๋ฉด ์ž์ฃผ ์“ฐ๋Š” ์žฅ๋น„๋งŒ ์ž๋™ ์˜ˆ์—ด

์‹คํ—˜ ๋„์ค‘ ๋ฐœ์ƒํ•œ ์œ„ํ—˜ ์ƒํ™ฉ์„ ๋ถ„์„ํ•˜์—ฌ ํ–ฅํ›„ ์˜ˆ์ธก ๊ฒฝ๊ณ  ์ œ๊ณต


์‹œ์•ฝ ์ค€๋น„ ๊ตฌ์—ญ์€ ์กฐ๋„๊ฐ€ ๋†’๊ณ , ๋ถ„์„ ๊ตฌ์—ญ์€ ๊ฐ„์ ‘์กฐ๋ช…์œผ๋กœ ์ž๋™ ๋ณ€๊ฒฝ


โ€œAI understands your research patterns, adapting airflow, temperature, lighting, and even instrument preferences to create a cognitive lab experience personalized for you.โ€

ํ†ตํ•ฉ ํšจ๊ณผ ๋ฐ ๊ฐ€์น˜ (Integrated Impact)


ํšจ์œจ์„ฑ ํ–ฅ์ƒ: ๋ฐ˜๋ณต ์„ค์ • ์ œ๊ฑฐ โ†’ ์—ฐ๊ตฌ ์ง‘์ค‘๋„ ์ฆ๊ฐ€

์—๋„ˆ์ง€ ์ ˆ๊ฐ: ํ•„์š” ์˜์—ญ๋งŒ ๊ณต์กฐ/์กฐ๋ช… ์ œ์–ด

์•ˆ์ „์„ฑ ๊ฐ•ํ™”: ์‹ค์‹œ๊ฐ„ ๋ชจ๋‹ˆํ„ฐ๋ง + ์‚ฌ์šฉ์ž ์ค‘์‹ฌ ๊ฒฝ๊ณ 

์‚ฌ์šฉ์ž ๊ฒฝํ—˜ ํ–ฅ์ƒ: โ€˜์Šค๋งˆํŠธํ•˜๊ณ  ๋ฐฐ๋ ค ๊นŠ์€ ์‹คํ—˜์‹คโ€™์ด๋ผ๋Š” ์‹ ๋ขฐ ๊ตฌ์ถ•


"LABSTโ€™s L.A.B. Smart Lab isnโ€™t just intelligent โ€” itโ€™s intuitive, responsive, and deeply human-centric." 


"L.A.B. ์Šค๋งˆํŠธ๋žฉ์€ ์—ฐ๊ตฌ์ž๋ฅผ โ€˜์ดํ•ดํ•˜๊ณ  ๊ธฐ์–ตํ•˜๋Š”โ€™ ๋ฏธ๋ž˜ ์‹คํ—˜์‹ค์ž…๋‹ˆ๋‹ค."

์ง€์†๊ฐ€๋Šฅํ•œ โ€˜Re-Labโ€™ ์‹œ์Šคํ…œ (Sustainable "Re-Lab" System)


Re-Lab์€ ๋‹จ์ˆœํ•œ "์นœํ™˜๊ฒฝ"์ด ์•„๋‹™๋‹ˆ๋‹ค. 

์‹คํ—˜์‹ค ๊ณต๊ฐ„์˜ โ€œ์ƒ๋ช… ์ฃผ๊ธฐ(Lifecycle)โ€๋ฅผ ์žฌ์„ค๊ณ„ํ•˜๋Š” ๋ฐฉ์‹์ด๋ฉฐ, ๊ฑด์ถ• + ์„ค๋น„ + ๊ฐ€๊ตฌ + ์‹คํ—˜ ์šด์˜ ์ „๋žต์ด ํ†ตํ•ฉ๋œ ๋ฏธ๋ž˜ํ˜• ์‹คํ—˜์‹ค ๊ตฌ์ถ• ์†”๋ฃจ์…˜์ž…๋‹ˆ๋‹ค. 

LABST.CO.KR์€ ์ด๋Ÿฌํ•œ Re-Lab ์ „๋žต์„ ํ†ตํ•ด ์ง€์† ๊ฐ€๋Šฅํ•œ ์‹คํ—˜์‹ค ๋””์ž์ธ์„ ์„ ๋„ํ•˜๋ฉฐ, ๊ธฐ์ˆ  ํ˜์‹  + ESG ๊ฐ€์น˜๋ฅผ ๋™์‹œ์— ์‹คํ˜„ํ•ฉ๋‹ˆ๋‹ค.

โ€˜Re-Labโ€™์€ ๋‹จ์ˆœํ•œ ์‹คํ—˜์‹ค ๋ฆฌ๋‰ด์–ผ์„ ๋„˜์–ด, ํ™˜๊ฒฝ์  ์ง€์†๊ฐ€๋Šฅ์„ฑ(ESG)๊ณผ ์—ฐ๊ตฌ ํšจ์œจ์„ฑ, ์ž์› ์ˆœํ™˜์„ ๋ชจ๋‘ ๊ณ ๋ คํ•œ โ€œ์ง€์†๊ฐ€๋Šฅํ•œ ์‹คํ—˜์‹ค ์„ค๊ณ„ ์ „๋žตโ€. 

โ€œReuse, Rebuild, Regenerateโ€๋ผ๋Š” ์Šฌ๋กœ๊ฑด์„ ๋ฐ”ํƒ•์œผ๋กœ, ๊ธฐ์กด ์ž์›์„ ์ตœ๋Œ€ํ•œ ํ™œ์šฉํ•˜๋ฉด์„œ๋„, ์ƒˆ๋กœ์šด ๊ธฐ์ˆ ๊ณผ ์นœํ™˜๊ฒฝ ์ž์žฌ๋ฅผ ์ ‘๋ชฉํ•˜์—ฌ ๋ฏธ๋ž˜ํ˜• ์นœํ™˜๊ฒฝ ์‹คํ—˜๊ณต๊ฐ„์„ ๊ตฌํ˜„.

์žฌ์‚ฌ์šฉ (Reuse)


ํ์‹คํ—˜๊ฐ€๊ตฌ, ์žฅ๋น„ ์™ธํ•จ, ์‹คํ—˜๋Œ€ ๊ตฌ์กฐ๋ฌผ ๋“ฑ ์žฌํ™œ์šฉ ๊ฐ€๋Šฅ ์ž์žฌ๋ฅผ ๋ฆฌ๋””์ž์ธ


๊ธฐ์กด ์‹คํ—˜๊ฐ€๊ตฌ(์Šคํ‹ธ ๊ตฌ์กฐ, ์ƒํŒ ๋“ฑ)๋ฅผ ์ฒ ๊ฑฐ ํ›„ ์žฌ๊ฐ€๊ณต โ†’ ์žฌ์กฐ๋ฆฝํ˜• ์‹คํ—˜๋Œ€/์บ๋น„๋‹› ์ œ์ž‘


์˜ค๋ž˜๋œ ์‹คํ—˜ ํ…Œ์ด๋ธ”/ํ›„๋“œ์˜ ์ง€์ง€ ํ”„๋ ˆ์ž„์€ ์ƒŒ๋”ฉ, ๋„์žฅ ํ›„ ์‹ ํ˜• ํŒŒ์šฐ๋”์ฝ”ํŒ… ๋„๋ฃŒ๋กœ ์žฌ์ฒ˜๋ฆฌ


ํ๊ธฐ ๋Œ€์ƒ ๊ฐ€๊ตฌ๋ฅผ ๋””์ž์ธ์ ์œผ๋กœ ์—…์‚ฌ์ดํด๋ง (ex. ์‹คํ—˜๋Œ€ ์ƒํŒ์„ ๋ฒฝ๋ฉด ์„ ๋ฐ˜์œผ๋กœ ๋ณ€ํ™˜)


ํ๊ธฐ๋ฌผ ์ตœ์†Œํ™”

์ž์› ์ˆœํ™˜ํ˜• ์‹คํ—˜์‹ค ๊ตฌ์ถ•

์žฌ๊ตฌ์„ฑ (Rebuild)


๋ชจ๋“ˆํ˜• ์„ค๊ณ„์™€ ๋””์ง€ํ„ธ ์ œ์ž‘ ๊ธฐ์ˆ (3Dํ”„๋ฆฐํŒ…)์„ ํ™œ์šฉํ•œ ์œ ์—ฐํ•œ ์‹คํ—˜์‹ค ๊ตฌ์กฐ ๊ตฌ์ถ•


ํ˜„์žฅ์—์„œ ๋งž์ถคํ˜•์œผ๋กœ ์ œ์ž‘ ๊ฐ€๋Šฅํ•œ 3D ํ”„๋ฆฐํŒ… ๋ถ€ํ’ˆ ๋„์ž… (์˜ˆ: ์‹คํ—˜๊ธฐ๊ตฌ ํ™€๋”, ๋ชจ์„œ๋ฆฌ ๋งˆ๊ฐ์žฌ)


๋‚˜์‚ฌ/ํด๋žจํ”„ ๋ฐฉ์‹์˜ ๋ชจ๋“ˆํ˜• ์‹คํ—˜๋Œ€ ์‹œ์Šคํ…œ์œผ๋กœ ์‹คํ—˜ ๋ชฉ์ ๋ณ„ ์žฌ๋ฐฐ์น˜ ์šฉ์ด


ํŒŒํ‹ฐ์…˜, ๋ฒฝ์ฒด, ์กฐ๋ช… ๋“ฑ๋„ ์กฐ๋ฆฝ์‹์œผ๋กœ ์ œ์ž‘ํ•ด ๊ณต๊ฐ„ ํ™•์žฅ์„ฑ๊ณผ ๋ฆฌ๋กœ์ผ€์ด์…˜ ๋Œ€์‘ ๊ฐ€๋Šฅ


์œ ์—ฐํ•œ ์‹คํ—˜์‹ค ์šด์˜

์žฅ๊ธฐ์  ์œ ์ง€๋ณด์ˆ˜ ๋น„์šฉ ์ ˆ๊ฐ

์žฌ์ƒ์‚ฐ (Regenerate)


์นœํ™˜๊ฒฝ ์ž์žฌ ์‚ฌ์šฉ์„ ํ†ตํ•ด ๊ณต๊ฐ„ ์ž์ฒด์˜ ์ƒํƒœ์  ๊ฐ€์น˜๋ฅผ ๋†’์ž„


๋ฐ”์ด์˜คํ”Œ๋ผ์Šคํ‹ฑ, ์žฌ์ƒ PVC, ์žฌํ™œ์šฉ ์•Œ๋ฃจ๋ฏธ๋Š„ ํ”„๋ ˆ์ž„ ๋“ฑ์˜ ์ž์žฌ ์‚ฌ์šฉ


Zero-VOC ํŽ˜์ธํŠธ๋กœ ๋งˆ๊ฐํ•˜์—ฌ ์‹ค๋‚ด ๊ณต๊ธฐ ์งˆ ๊ฐœ์„  + ์ธ์ฒด ๋ฌดํ•ด์„ฑ ํ™•๋ณด


๋งˆ๊ฐ์žฌ๋Š” ํƒ„์†Œ์ค‘๋ฆฝ ์ธ์ฆ ์ œํ’ˆ ๋˜๋Š” LEED/BREEAM ์ ํ•ฉ ์ž์žฌ ์šฐ์„  ์‚ฌ์šฉ


์นœํ™˜๊ฒฝ ์ธ์ฆ (Green Certification, LEED ๋“ฑ) ๋Œ€์‘

์—ฐ๊ตฌ์ž์˜ ๊ฑด๊ฐ• ๋ณดํ˜ธ + ESG ์ „๋žต ๊ฐ•ํ™”


โ€œAI understands your research patterns, adapting airflow, temperature, lighting, and even instrument preferences to create a cognitive lab experience personalized for you.โ€

Why Re-Lab Matters?


ํ™˜๊ฒฝ(E) ํ๊ธฐ๋ฌผ ์ ˆ๊ฐ, ์—๋„ˆ์ง€ ์ ˆ์•ฝ, ํƒ„์†Œ ๋ฐฐ์ถœ ์ €๊ฐ

์‚ฌํšŒ(S) ์—ฐ๊ตฌ์ž์˜ ์•ˆ์ „์„ฑ ํ–ฅ์ƒ, ์นœํ™˜๊ฒฝ ์ผํ„ฐ ๊ตฌํ˜„

์ง€๋ฐฐ๊ตฌ์กฐ(G) ์ง€์†๊ฐ€๋Šฅ์„ฑ ์ค‘์‹ฌ์˜ ์‹คํ—˜์‹ค ์šด์˜ ํˆฌ๋ช…์„ฑ ํ™•๋ณด


๊ธฐ์ˆ  ์ ์šฉ ์˜ˆ์‹œ

์‹คํ—˜๋Œ€ ๋ฆฌ๋””์ž์ธ ํƒˆ์ฐฉ์‹ ์ƒํŒ, ๊ต์ฒดํ˜• ํŒŒ์ดํ”„๋ž™, 3D ํ”„๋ฆฐํŠธ ์กฐ์ธํŠธ ์‚ฌ์šฉ


๊ฐ€๊ตฌ ์—…์‚ฌ์ดํด๋ง ํ๊ฐ€๊ตฌ๋ฅผ ํ•ด์ฒด โ†’ ์žฌ๋„์žฅ โ†’ ์ˆ˜๋‚ฉํ˜• ๋ชจ๋“ˆ ๊ฐ€๊ตฌ ์žฌ์กฐ๋ฆฝ


๋ฐฐ๊ธฐ ํ›„๋“œ ๋ฆฌ์‚ฌ์ดํด ์Šคํ…Œ์ธ๋ฆฌ์Šค ๋ณธ์ฒด๋Š” ์žฌ์‚ฌ์šฉ, ํŒฌ/ํ•„ํ„ฐ๋งŒ ๊ต์ฒด


์นœํ™˜๊ฒฝ ์†Œ์žฌ ์ ์šฉ ๋Œ€๋‚˜๋ฌด ํ•ฉํŒ, ์žฌํ™œ์šฉ PET ๋ณด๋“œ, ๋ฌดํฌ๋ฆ„์•Œ๋ฐํžˆ๋“œ ํ•ฉํŒ


์Šค๋งˆํŠธ ์—๋„ˆ์ง€ ๋งค๋‹ˆ์ง€๋จผํŠธ ์กฐ๋ช…/ํ™˜๊ธฐ ์„ผ์„œ ๊ธฐ๋ฐ˜ ์ž๋™ ์ œ์–ด๋กœ ์ „๋ ฅ 30% ์ ˆ๊ฐ



Zero Contamination: High-Precision Clean Lab Solution


โ€œ0.001%์˜ ์˜ค์—ผ๋„๋„ ํ—ˆ๋ฝํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.โ€ 

โ€œEven 0.001% contamination is unacceptable.โ€

์ ˆ๋Œ€์  ์ฒญ์ •๋„ ํ™•๋ณด๋ฅผ ํ†ตํ•ด ์ดˆ์ •๋ฐ€ ๋ถ„์„, ์ƒ๋ช…๊ณผํ•™, ๋ฐ˜๋„์ฒด ๋ฐ ๋‚˜๋…ธ๊ธฐ์ˆ  ๋“ฑ ๊ณ ๊ฐ๋„ ์ž‘์—…์— ์™„๋ฒฝํ•œ ์‹คํ—˜ ํ™˜๊ฒฝ ์ œ๊ณต


๋ฏธ๋ž˜ ์‹คํ—˜์‹ค์˜ ๊ธฐ์ค€์€ "๊นจ๋—ํ•œ ๊ฒƒ"์ด ์•„๋‹Œ "์Šค์Šค๋กœ ์ฒญ๊ฒฐ์„ ์œ ์ง€ํ•  ์ˆ˜ ์žˆ๋Š” ๊ฒƒ"

์‹ค์‹œ๊ฐ„ ์ž…์ž ์ˆ˜ ์ธก์ • ์‹œ์Šคํ…œ


Real-Time Particle Monitoring System


0.3ใŽ› ์ด์ƒ ์ž…์ž์˜ ์ˆ˜๋ฅผ ์ดˆ๋‹น ๋ชจ๋‹ˆํ„ฐ๋งํ•˜์—ฌ ๊ณต๊ธฐ ์ค‘ ๋ถ€์œ ์ž…์ž์˜ ๋†๋„๋ฅผ ๊ฐ์‹œ


HEPA/ULPA ํ•„ํ„ฐ ํšจ์œจ์„ ํ‰๊ฐ€ํ•˜๋ฉฐ ํ•„ํ„ฐ ๊ต์ฒด ์ฃผ๊ธฐ๋ฅผ ์ž๋™์œผ๋กœ ๊ณ„์‚ฐ


PM (Particulate Matter) ์„ผ์„œ๋ฅผ ์ฒœ์žฅ ํ˜น์€ ๋ฒฝ์ฒด์— ๋‚ด์žฅํ•˜์—ฌ ๋ชจ๋“  ๊ตฌ์—ญ์„ ์„ธ๋ถ„ํ™” ์ถ”์  ๊ฐ€๋Šฅ


ISO Class 5 ~ Class 7 ์ˆ˜์ค€์— ๋”ฐ๋ผ ๋‹ค์–‘ํ•œ ์ •๋ฐ€๋„ ์„ค์ • ๊ฐ€๋Šฅ


์˜ค์—ผ ๋ฐœ์ƒ ์ฆ‰์‹œ ๊ฒฝ๊ณ  ์‹œ์Šคํ…œ ํ™œ์„ฑํ™”

์–‘์••/์Œ์•• ์ž๋™ ์ œ์–ด ์‹œ์Šคํ…œ


Automated Pressure Differential Control


์–‘์••(Positive Pressure): ์™ธ๋ถ€ ์˜ค์—ผ๋ฌผ์งˆ์˜ ์œ ์ž…์„ ์ฐจ๋‹จ (์ œ์•ฝ ์ œ์กฐ, ๋ฌด๊ท ์‹ค์šฉ)


์Œ์••(Negative Pressure): ๋‚ด๋ถ€ ์˜ค์—ผ๋ฌผ์งˆ์˜ ํ™•์‚ฐ์„ ๋ฐฉ์ง€ (๊ฐ์—ผ์„ฑ ์‹œ๋ฃŒ ๋‹ค๋ฃฐ ๋•Œ)


๋„์–ด ๊ฐœ๋ฐฉ ์‹œ ์ž๋™์œผ๋กœ ํŒฌ๊ณผ ๋Œํผ ์ž‘๋™ โ†’ ์˜ค์—ผ ์ „์ด ์ฐจ๋‹จ


Cleanroom ๋“ฑ๊ธ‰ ์œ ์ง€ ๋ฐ ๋ฐ”์ด์˜ค/ํ™”ํ•™ ์‹คํ—˜์‹ค ๊ฒฝ๊ณ„ ์•ˆ์ •์„ฑ ํ™•๋ณด

์ž์œจ ์‚ด๊ท  ๋ฒฝ์ฒด ์‹œ์Šคํ…œ


Self-Sterilizing Antimicrobial Wall Panels


ํ•ญ๊ท  ์ฝ”ํŒ…๋œ Ag+ ๋‚˜๋…ธ์ž…์ž ํŒจ๋„, ๋ฐ•ํ…Œ๋ฆฌ์•„์™€ ๊ณฐํŒก์ด ๋ฒˆ์‹์„ ์–ต์ œ


์ผ์ • ์‹œ๊ฐ„๋งˆ๋‹ค UV-C ๋˜๋Š” ์ €์˜จ ํ”Œ๋ผ์ฆˆ๋งˆ ์ž‘๋™์œผ๋กœ ํ‘œ๋ฉด ์‚ด๊ท 


ํ‘œ๋ฉด ์˜ค์—ผ ๋†๋„๋ฅผ ๊ฐ์ง€ํ•˜์—ฌ ์‚ด๊ท  ์ฃผ๊ธฐ๋ฅผ ์ž๋™ ์กฐ์ •ํ•˜๋Š” ์Šค๋งˆํŠธ ๋ชจ๋“ˆ ํƒ‘์žฌ


๊ณฐํŒก์ด ๋ฐœ์ƒ์ด ์‰ฌ์šด ์ฝ”๋„ˆ, ํ™˜๊ธฐ ๊ตฌ์—ญ ๋“ฑ์— ์ถ”๊ฐ€์ ์ธ ํ•ญ๊ท  ์‹ค๋ฆฌ์ฝ˜ ์‹œ๊ณต


๋ฌด์ธ ์ƒํƒœ์—์„œ๋„ ์ž๋™ ์ฒญ๊ฒฐ ์œ ์ง€ โ†’ ์œ ์ง€๊ด€๋ฆฌ ํšจ์œจ์„ฑ ๊ทน๋Œ€ํ™”

UV ์Šค๋งˆํŠธ ๋„์–ด ์‹œ์Šคํ…œ


UV-Integrated Smart Entry System


๋„์–ด ๊ฐœํ ์ „/ํ›„ ์ž๋™์œผ๋กœ UV-C LED ์‚ด๊ท  ์ž‘๋™ (0.1~0.2์ดˆ ์ด๋‚ด ๋น ๋ฅธ ์‘๋‹ต)


์ถœ์ž… ์ „ ์†์†Œ๋… ๋ฐ ์ •์ „๊ธฐ ๋ฐฉ์ „(E.S.D. ์ œ๊ฑฐ)๋ฅผ ์•ˆ๋‚ดํ•˜๋Š” ์ธํ„ฐ๋ž™ํ‹ฐ๋ธŒ ๋””์Šคํ”Œ๋ ˆ์ด ์—ฐ๋™


์••๋ ฅ์ฐจ ๊ฐ์ง€๋ฅผ ํ†ตํ•œ ์—์–ด๋ก(Airlock) ๊ธฐ๋Šฅ ๋‚ด์žฅ


์ถœ์ž…์ž ๋กœ๊ทธ ๊ธฐ๋ก๊ณผ ์—ฐ๋™ ๊ฐ€๋Šฅํ•˜์—ฌ ๋ณด์•ˆ ์ถ”์ ๋„ ๋™์‹œ์— ๊ตฌํ˜„ ๊ฐ€๋Šฅ


์ถœ์ž…๊ตฌ๋Š” ์˜ค์—ผ ์ฐจ๋‹จ์˜ ์ฒซ ๊ด€๋ฌธ โ€“ ์™„์ „ํ•œ ๋ฐฉ์–ด ์‹œ์Šคํ…œ ์ œ๊ณต



๊ณ ์ •๋ฐ€ ์ฒญ์ •๊ณต์กฐ + Cleanroom Zone ์„ค๊ณ„


Zoned Cleanroom HVAC Design


HEPA ํ•„ํ„ฐ๊ฐ€ ํฌํ•จ๋œ ํ•ญ์˜จํ•ญ์Šตํ˜• ๊ณต์กฐ ์‹œ์Šคํ…œ


๊ณต๊ฐ„ ๋‚ด ์ฒญ์ • ๋“ฑ๊ธ‰ ๊ตฌ๋ถ„ (์˜ˆ: Class 6 โ†’ 7 โ†’ 8) ์„ ํ๋ฆ„ ๊ฒฝ๋กœ์— ๋”ฐ๋ผ ๊ตฌ์„ฑ


๊ณต๊ธฐ ํ๋ฆ„์„ ์œ„์—์„œ ์•„๋ž˜๋กœ ์œ ๋„ํ•˜๋Š” ์ˆ˜์งํ˜• ๋‹จ๋ฐฉํ–ฅ ์œ ๋™ (Laminar Airflow) ์ ์šฉ


ํ•„์š” ์‹œ ํŠน์ • ์žฅ๋น„ ์ฃผ์œ„์— Mini-environment (๊ตญ์†Œ ํด๋ฆฐ์กด) ๊ตฌ์„ฑ


์žฅ๋น„ ๋‹จ์œ„ ์ •๋ฐ€๋ถ„์„ ๊ตฌ์—ญ๊นŒ์ง€ ์˜ค์—ผ์› ์ œ๋กœ ์„ค๊ณ„ ๊ฐ€๋Šฅ

์ ์šฉ ๋ถ„์•ผ ๋ฐ ํšจ๊ณผ | Applicable Fields & Benefits


์ œ์•ฝ ์ œ์กฐ์†Œ (GMP) ๋ฌด๊ท  ์กฐ๊ฑด ์œ ์ง€, ๋ฐฐ์น˜ ๊ฐ„ ์˜ค์—ผ ๋ฐฉ์ง€


๋ฐ”์ด์˜ค R&D ์‹คํ—˜์‹ค ์„ธํฌ ๋ฐฐ์–‘/์œ ์ „์ž ์กฐ์ž‘ ์‹œ ์˜ค์—ผ ์ตœ์†Œํ™”


๋ฐ˜๋„์ฒด ๋ฐ ์ „์ž์†Œ์žฌ ๋‚˜๋…ธ๋‹จ์œ„ ๋ถˆ์ˆœ๋ฌผ ์ฐจ๋‹จ์œผ๋กœ ์ œํ’ˆ ํ’ˆ์งˆ ํ–ฅ์ƒ


๋ฒ•๊ณผํ•™ ๋ฐ ํ™˜๊ฒฝ๋ถ„์„์‹ค ๋ฐฑ๊ทธ๋ผ์šด๋“œ ์žก์Œ ์—†๋Š” ๊ณ ๊ฐ๋„ ๋ถ„์„ ๊ฐ€๋Šฅ


ํด๋ฆฐ๋ฃธ ๊ตฌ์ถ•๊ธฐ์—… ์ธ์ฆ ๋“ฑ๊ธ‰ ํš๋“ ์ง€์› (ISO, cGMP, FDA ๋“ฑ)

Lab-as-a-Service (LaaS) ํ”Œ๋žซํผ


Lab-as-a-Service (LaaS) Platform โ€œ์‹คํ—˜์‹ค๋„ ์ด์ œ ์„œ๋น„์Šค ์‹œ๋Œ€!โ€ 

โ€œWelcome to the service era of laboratories.โ€

Lab-as-a-Service (LaaS)๋Š” ์‹คํ—˜์‹ค์„ ํ•˜๋“œ์›จ์–ด ์ค‘์‹ฌ์˜ '์†Œ์œ  ์ž์‚ฐ'์ด ์•„๋‹Œ, ์œ ์—ฐํ•˜๊ฒŒ ๊ตฌ์„ฑํ•˜๊ณ  ํ™œ์šฉํ•  ์ˆ˜ ์žˆ๋Š” '์„œ๋น„์Šค ํ”Œ๋žซํผ'์œผ๋กœ ์ „ํ™˜ํ•˜๋Š” ๊ฐœ๋…


์ด ํ”Œ๋žซํผ์€ ๋””์ง€ํ„ธ ๊ธฐ์ˆ , IoT, AI ๊ธฐ๋ฐ˜์˜ ์ž๋™ํ™”, ๊ทธ๋ฆฌ๊ณ  ํด๋ผ์šฐ๋“œ ๊ธฐ๋ฐ˜ ์‹คํ—˜์‹ค ๊ด€๋ฆฌ ์‹œ์Šคํ…œ์„ ๊ฒฐํ•ฉํ•˜์—ฌ ์‹คํ—˜์‹ค ์šด์˜ ๋ฐฉ์‹์„ ํš๊ธฐ์ ์œผ๋กœ ํ˜์‹ 


LaaS๋Š” ์‹คํ—˜์‹ค ์‚ฌ์šฉ์ž์—๊ฒŒ "ํ•„์š”ํ•œ ๊ณต๊ฐ„, ํ•„์š”ํ•œ ์žฅ๋น„, ํ•„์š”ํ•œ ์‹œ๊ฐ„๋งŒํผ" ์œ ์—ฐํ•˜๊ฒŒ ์‹คํ—˜์‹ค ์ž์›์„ ์ œ๊ณตํ•˜๋ฉฐ, ์šด์˜์ž์—๊ฒŒ๋Š” ํšจ์œจ์„ฑ, ์˜ˆ์ธก ๊ฐ€๋Šฅ์„ฑ, ์ž์‚ฐ ์ตœ์ ํ™”

์•ฑ ๊ธฐ๋ฐ˜ ์‹คํ—˜์‹ค ์˜ˆ์•ฝ ์‹œ์Šคํ…œ


Mobile-Based Lab Booking


์—ฐ๊ตฌ์ž๋Š” ์Šค๋งˆํŠธํฐ ์•ฑ ๋˜๋Š” ์›น ํฌํ„ธ์„ ํ†ตํ•ด ์‹คํ—˜์‹ค ๊ณต๊ฐ„, ์žฅ๋น„, ๊ฐ€๊ตฌ ๋ชจ๋“ˆ์„ ์‹ค์‹œ๊ฐ„์œผ๋กœ ์˜ˆ์•ฝ


์˜ˆ์•ฝ ๊ฐ€๋Šฅ ์‹œ๊ฐ„, ์‚ฌ์šฉ ๊ฐ€๋Šฅ ์žฅ๋น„ ์ƒํƒœ, ํ˜ผ์žก๋„ ๋“ฑ์„ ์‹œ๊ฐ์ ์œผ๋กœ ์ œ๊ณต


๊ด€๋ฆฌ์ž ์Šน์ธ ๋˜๋Š” ์ž๋™ ์Šน์ธ ๊ธฐ๋Šฅ ํฌํ•จ


"Uber์ฒ˜๋Ÿผ ์‹คํ—˜์‹ค์„ ์˜ˆ์•ฝํ•˜๊ณ , Airbnb์ฒ˜๋Ÿผ ์‚ฌ์šฉํ•˜๋Š” ์‹œ๋Œ€!"

์žฅ๋น„ ์…ฐ์–ด๋ง & ๋ชจ๋“ˆํ˜• ๊ฐ€๊ตฌ ๋Œ€์—ฌ


Equipment Sharing & Modular Furniture Rentals


๊ณ ๊ฐ€์˜ ๋ถ„์„ ์žฅ๋น„(HPLC, GC-MS ๋“ฑ)๋ฅผ ํ•„์š” ์‹œ๊ฐ„๋งŒํผ ๊ณต์œ ํ•ด ๋น„์šฉ ์ ˆ๊ฐ


๋ชจ๋“ˆํ˜• ์‹คํ—˜๋Œ€, ์ด๋™์‹ ๋ถ„์„๋Œ€, ์Šคํˆด ๋“ฑ๋„ ์‹œ๊ฐ„ ๋‹จ์œ„๋กœ ๋Œ€์—ฌ


์˜ˆ์•ฝ๊ณผ ๋™์‹œ์— ์ž๋™ ์‚ฌ์šฉ ๋กœ๊ทธ ๋ฐ ์‚ฌ์šฉ์ž ๊ธฐ๋ก ๊ด€๋ฆฌ


์žฅ๋น„ ํ™œ์šฉ๋ฅ ์€ โ†‘, ๊ตฌ๋งค๋น„์šฉ๊ณผ ์œ ํœด ์ž์‚ฐ์€ โ†“

AI ๊ธฐ๋ฐ˜ ์ž์‚ฐ/์žฌ๊ณ  ์˜ˆ์ธก ์‹œ์Šคํ…œ


AI-Powered Asset and Inventory Forecasting


์„ผ์„œ ๊ธฐ๋ฐ˜์œผ๋กœ ์‹œ์•ฝ, ๊ฐ€์Šค, ์†Œ๋ชจํ’ˆ, ์žฅ๋น„ ์ƒํƒœ๋ฅผ ๋ชจ๋‹ˆํ„ฐ๋ง


์ด์ƒ ์ง•ํ›„ ๋ฐœ์ƒ ์‹œ ๊ด€๋ฆฌ์ž ์•Œ๋ฆผ ๋ฐ ์ž๋™ ์˜ˆ์ง€ ๋ณด์ˆ˜ ์˜ˆ์•ฝ


์˜ˆ: ๊ฐ€์Šค๊ฐ€ 20% ์ดํ•˜ ๋‚จ์œผ๋ฉด ์ž๋™ ์•Œ๋žŒ + ๋ณด์ถฉ ์˜ˆ์•ฝ๊นŒ์ง€ ์ฒ˜๋ฆฌ


"๋ชจ์ž๋ผ๊ธฐ ์ „์— ์•Œ๋ ค์ฃผ๊ณ , ๊ณ ์žฅ๋‚˜๊ธฐ ์ „์— ๊ณ ์ณ์ค€๋‹ค."

์‚ฌ์šฉ ๊ธฐ๋ฐ˜ ๊ณผ๊ธˆ ๋ชจ๋ธ (Pay-as-you-use)


Pay-as-you-use Billing System


์‚ฌ์šฉ ์‹œ๊ฐ„, ์žฅ๋น„ ์ข…๋ฅ˜, ์‹คํ—˜์‹ค ์œ ํ˜•์— ๋”ฐ๋ผ ์ž๋™ ๊ณผ๊ธˆ


์‹คํ—˜ ๋‹จ์œ„, ํ”„๋กœ์ ํŠธ ๋‹จ์œ„, ์‚ฌ์šฉ์ž ๋‹จ์œ„๋กœ ์ •์‚ฐ ๊ฐ€๋Šฅ


ํด๋ผ์šฐ๋“œ ๊ธฐ๋ฐ˜ ๋Œ€์‹œ๋ณด๋“œ๋ฅผ ํ†ตํ•œ ๋น„์šฉ ํˆฌ๋ช…์„ฑ ์ œ๊ณต


R&D ์˜ˆ์‚ฐ ํšจ์œจ์„ฑ ๊ทน๋Œ€ํ™”, ํ”„๋กœ์ ํŠธ๋ณ„ ์ •์‚ฐ ๊ฐ€๋Šฅ



์ ์šฉ ์‚ฌ๋ก€ | Use Cases


์Šคํƒ€ํŠธ์—… ์—ฐ๊ตฌ์†Œ: ๊ณ ๊ฐ€ ์žฅ๋น„ ๊ณต๋™ ํ™œ์šฉ์œผ๋กœ ์ดˆ๊ธฐ ๋น„์šฉ ๋ถ€๋‹ด ์™„ํ™”


๋Œ€ํ•™๊ต ์‹คํ—˜์‹ค: ์ˆ˜์—… ์‹œ๊ฐ„ ์™ธ ์‹คํ—˜์‹ค ๊ฐœ๋ฐฉ ์‹œ๊ฐ„ ํ™œ์šฉ๋„ ๊ทน๋Œ€ํ™”


์ œ์•ฝํšŒ์‚ฌ R&D: ํ”„๋กœ์ ํŠธ๋ณ„ ์‹คํ—˜ ์žฅ๋น„ ์‚ฌ์šฉ์‹œ๊ฐ„ ํ†ต๊ณ„ ๋ฐ ROI ๋ถ„์„


๊ณต๊ณต์—ฐ๊ตฌ์†Œ: ์™ธ๋ถ€ ์—ฐ๊ตฌ์ž์—๊ฒŒ ๊ณต๊ฐ„ยท์žฅ๋น„ ๋Œ€์—ฌ ์„œ๋น„์Šค ์ œ๊ณต

LaaS๋Š” ์‹คํ—˜์‹ค์˜ ํŒจ๋Ÿฌ๋‹ค์ž„์„ ๋ฐ”๊พธ๋Š” ํ˜์‹ ์ ์ธ ํ”Œ๋žซํผ์ž…๋‹ˆ๋‹ค. 


๋‹จ์ˆœํ•œ ๊ณต๊ฐ„ ์ œ๊ณต์ด ์•„๋‹ˆ๋ผ, ์—ฐ๊ตฌ์ž ๊ฒฝํ—˜ ์ค‘์‹ฌ์˜ ์Šค๋งˆํŠธํ•œ R&D ์„œ๋น„์Šค๋กœ ์ง„ํ™”ํ•ฉ๋‹ˆ๋‹ค.


 โ€œLABST.CO.KR์€ ์‹คํ—˜์‹ค์„ ๋‹จ์ˆœํ•œ '๊ณต๊ฐ„'์ด ์•„๋‹Œ, ๊ฒฝํ—˜, ์„œ๋น„์Šค, ๋ฐ์ดํ„ฐ ์ค‘์‹ฌ์˜ ๋ฏธ๋ž˜ ํ”Œ๋žซํผ์œผ๋กœ ๋ฐ”๊ฟ”๊ฐ‘๋‹ˆ๋‹ค.โ€

๋ธŒ๋žœ๋“œํ™”๋œ LABST ์‹œ๊ทธ๋‹ˆ์ฒ˜ ์กด


LABST Signature Zones: Branded Research Environments 


โ€œ๋‹น์‹ ์˜ ์—ฐ๊ตฌ ๊ณต๊ฐ„์€ ๊ณง ๋‹น์‹ ์˜ ๋ธŒ๋žœ๋“œ์ž…๋‹ˆ๋‹ค.โ€ 

โ€œYour lab space is your brand.โ€

LABST Signature Zones๋Š” R&D ๊ณต๊ฐ„์„ ๋ธŒ๋žœ๋“œ ์ •์ฒด์„ฑ๊ณผ ์ •์„œ์  ๊ฐ€์น˜๋กœ ์‹œ๊ฐํ™”ํ•˜๋Š” ๊ฒƒ์„ ๋ชฉํ‘œ๋กœ ํ•จ. 


์ฆ‰, ๋‹จ์ˆœํ•œ ๊ฐ€๊ตฌ ๋ฐฐ์น˜๋‚˜ ์‹ค์šฉ์ ์ธ ๊ธฐ๋Šฅ๋ฟ ์•„๋‹ˆ๋ผ, ์—ฐ๊ตฌ๊ธฐ๊ด€์˜ ์ •์ฒด์„ฑ, ๋ฌธํ™”, ๋ฏธ์…˜์„ ๊ณต๊ฐ„ ์†์— ์ƒ‰์ƒยท๋น›ยทํ˜•ํƒœยท์‚ฌ์šฉ์ž ๋™์„ ์œผ๋กœ ํ†ตํ•ฉํ•˜๋Š” ์ „๋žต์  ์‹คํ—˜์‹ค ๋ธŒ๋žœ๋”ฉ ๋””์ž์ธ.

ํ•ต์‹ฌ ์„ค๊ณ„ ์š”์†Œ | Core Design Elements

์ปฌ๋Ÿฌ ํŒ”๋ ˆํŠธ & ์กฐ๋ช… ๋””์ž์ธ


Branded Color Palettes & Lighting Ambience


๊ธฐ๊ด€์˜ CI/BI ์ƒ‰์ƒ๊ณผ ๋งž์ถ˜ ์‹ค๋‚ด ์ปฌ๋Ÿฌ ๊ตฌ์„ฑ


์‹คํ—˜์‹ค ๋‚ด ๊ฐ ์˜์—ญ(๋ถ„์„์‹ค, ํ™”ํ•™์‹ค, ์‚ฌ๋ฌด๊ณต๊ฐ„ ๋“ฑ)์— ๋”ฐ๋ผ ๊ธฐ๋Šฅ๋ณ„ ์กฐ๋„์™€ ์ƒ‰์˜จ๋„ ์กฐ์ ˆ


์—ฐ๊ตฌ ์ง‘์ค‘๋„ ํ–ฅ์ƒ์„ ์œ„ํ•œ ์ฐจ๊ฐ€์šด ์กฐ๋ช…(blue-white), ํœด๊ฒŒ๊ณต๊ฐ„์—๋Š” ๋”ฐ๋œปํ•œ ์กฐ๋ช…(warm white) ์‚ฌ์šฉ


ํŠน์ • ๊ธฐ์—… ๋ธŒ๋žœ๋“œ ์ปฌ๋Ÿฌ๋ฅผ ์ด์šฉํ•œ ์‹œ๊ทธ๋‹ˆ์ฒ˜ ๋ฒฝ๋ฉด, ๊ฐ€๊ตฌ, LED ๋ผ์ธ ๋””์ž์ธ ๋ฐ˜์˜


The visual tone of the lab becomes part of the companyโ€™s identity.

๋‚ด๋น„๊ฒŒ์ด์…˜ & ๊ณต๊ฐ„ ๋™์„  ์„ค๊ณ„


Smart Navigation & Zoning Strategy


์‹คํ—˜ ๊ตฌ์—ญ, ๊ณต์šฉ๊ตฌ์—ญ, ํœด๊ฒŒ์‹ค ๊ฐ„ ์ง๊ด€์ ์ธ ๋™์„  ๊ตฌ์„ฑ


์ปฌ๋Ÿฌ ๋ , LED ๋ผ์ธ, ๋ฐ”๋‹ฅ ํŒจํ„ด ๋“ฑ์„ ํ†ตํ•ด ๊ณต๊ฐ„์˜ ํ๋ฆ„ ์œ ๋„


๋ฐฉ๋ฌธ๊ฐ ๋ฐ ์‹ ๊ทœ ์ง์›๋„ ์‰ฝ๊ฒŒ ์ดํ•ดํ•  ์ˆ˜ ์žˆ๋Š” UX ๊ธฐ๋ฐ˜ ์‹คํ—˜์‹ค ๊ธธ์ฐพ๊ธฐ(wayfinding)


๋ฒฝ๋ฉด ์‚ฌ์ธ, ๋””์ง€ํ„ธ ๋””์Šคํ”Œ๋ ˆ์ด ์•ˆ๋‚ดํŒ์„ ํ†ตํ•ด ์ •๋ณด ์ ‘๊ทผ์„ฑ ํ–ฅ์ƒ


Guided not just by signs, but by experience.

ํœด์‹ ๊ณต๊ฐ„ ์„ค๊ณ„ (Acoustic & Lighting Wellness)


Researcher Well-being Zones


์—ฐ๊ตฌ์ž ๋ฒˆ์•„์›ƒ ๋ฐฉ์ง€๋ฅผ ์œ„ํ•œ ์‹ฌ๋ฆฌ ์•ˆ์ • ๊ณต๊ฐ„ ๊ตฌ์„ฑ


์†Œ๋ฆฌ ์ฐจ๋‹จ(ํก์Œ์žฌ ๋ฒฝ์ฒด + ์ฒœ์ •)๊ณผ ์กฐ๋„ ์ œ์–ด(์กฐ๋ช… ๊ฐ์„ฑ ์ œ์–ด) ์„ค๊ณ„๋ฅผ ํ†ตํ•ด ์ง‘์ค‘๊ณผ ํœด์‹์„ ๋ถ„๋ฆฌ


ํ–ฅ๊ธฐ(์•„๋กœ๋งˆ ๋””ํ“จ์ €), ์กฐ๋„ ๋ณ€ํ™”, ์Œ์•… ๋“ฑ ๋‹ค๊ฐ๊ฐ์  ์น˜์œ  ์š”์†Œ ํฌํ•จ


ํœด์‹ ๊ณต๊ฐ„์˜ ํ†ค์€ ์‹คํ—˜์‹ค ๋ฉ”์ธ ์ปฌ๋Ÿฌ ๋Œ€๋น„ ์ค‘์„ฑ/์ž์—ฐ ์ƒ‰์ƒ์œผ๋กœ ๋Œ€๋น„ ํšจ๊ณผ ์ œ๊ณต


Researchers recharge better in spaces that understand them.

์‹ฌ๋ณผ๋ฆญ & ๋ธŒ๋žœ๋“œ ์š”์†Œ ์‹œ๊ฐํ™”


Visual Branding Integration


๋ฒฝ๋ฉด์— ๊ธฐ์—…์˜ ๋น„์ „/์Šฌ๋กœ๊ฑด/์—ญ์‚ฌ๋ฅผ ์‹œ๊ฐํ™” (์˜ˆ: ๋ ˆ์ด์ € ๊ฐ์ธ, ์•„ํŠธ์›”)


์‹คํ—˜๋Œ€/๋ณด๊ด€์žฅ์— ๊ธฐ์—… ๋กœ๊ณ  ์— ๋ณด์‹ฑ ๋˜๋Š” UVํ”„๋ฆฐํŒ… ์ ์šฉ


์œ ๋‹ˆํผ, ๊ฐ€๊ตฌ, ๊ฐ„ํŒ ๋“ฑ์˜ ์ผ๊ด€๋œ ๋ธŒ๋žœ๋”ฉ ์‹œ์Šคํ…œ ๊ตฌ์ถ•


๋ธŒ๋žœ๋“œ ์š”์†Œ๊ฐ€ ๋‹จ์ˆœ ์žฅ์‹์ด ์•„๋‹ˆ๋ผ ์ผ์ƒ์—์„œ ์ฒด๊ฐ ๊ฐ€๋Šฅํ•œ ๋””์ž์ธ ์š”์†Œ๋กœ ๊ตฌํ˜„


Your mission is built into the walls, fixtures, and atmosphere.



๊ธฐ๋Œ€ ํšจ๊ณผ | Strategic Benefits


๋ธŒ๋žœ๋“œ ์ด๋ฏธ์ง€ ๊ฐ•ํ™” ์™ธ๋ถ€ ํŒŒํŠธ๋„ˆยท๊ธฐ๊ด€ยท๊ณ ๊ฐ์—๊ฒŒ ์ผ๊ด€๋œ R&D ์ฒ ํ•™ ์ „๋‹ฌ ๊ฐ€๋Šฅ


์ง์› ์ž๋ถ€์‹ฌ ํ–ฅ์ƒ โ€œ์šฐ๋ฆฌ๋Š” ํŠน๋ณ„ํ•œ ๊ณณ์—์„œ ์ผํ•œ๋‹คโ€๋Š” ์ •์ฒด์„ฑ ๋ถ€์—ฌ


์—…๋ฌด ํšจ์œจ ์ฆ์ง„ ์ง‘์ค‘๊ณผ ํœด์‹, ๋™์„  ๋ถ„๋ฆฌ ์„ค๊ณ„๋กœ ํ”ผ๋กœ๋„ ๊ฐ์†Œ


๋ฐฉ๋ฌธ๊ฐ ์ธ์ƒ ์ œ๊ณ  IR, ์ „์‹œ, ๊ต์œก, ํ˜‘๋ ฅ์‚ฌ ์‘๋Œ€ ์‹œ ํƒ์›”ํ•œ ์ฒซ์ธ์ƒ

LABST Signature Zones๋Š” ๋‹จ์ˆœํžˆ ๋ฉ‹์žˆ๋Š” ์‹คํ—˜์‹ค์ด ์•„๋‹ˆ๋ผ, โ€œ๋ธŒ๋žœ๋“œ, ๊ณผํ•™, ๊ฐ์„ฑโ€์ด ๊ณต์กดํ•˜๋Š” ์ฐจ์„ธ๋Œ€ ์‹คํ—˜์‹ค ์ฒ ํ•™์˜ ๊ตฌํ˜„์ฒด. 


๊ณต๊ฐ„์„ ํ†ตํ•ด ๊ฐ€์น˜๋ฅผ ๋งํ•˜๊ณ , ๋””์ž์ธ์„ ํ†ตํ•ด ๋ฌธํ™”๋ฅผ ๊ฒฝํ—˜ํ•˜๊ฒŒ ๋งŒ๋“œ๋Š” ๊ฒƒโ€” ์ด๊ฒƒ์ด ๋ฐ”๋กœ LABST๊ฐ€ ์‹คํ—˜์‹ค์— ๋‹ด๋Š” ์ฒ ํ•™.

๋””์ง€ํ„ธ ํŠธ์œˆ ์‹คํ—˜์‹ค ๊ตฌํ˜„


Digital Twin Laboratory Simulation 

โ€œ๊ฐ€์ƒ ๊ณต๊ฐ„์—์„œ ์‹คํ—˜์‹ค์„ ๋จผ์ € ๊ฒฝํ—˜ํ•˜์„ธ์š”.โ€ 

โ€œSimulate your lab before it exists.โ€

๋””์ง€ํ„ธ ํŠธ์œˆ(Digital Twin)์€ ์‹ค์ œ ์‹คํ—˜์‹ค์˜ ๊ตฌ์กฐ, ์žฅ๋น„, ์œ ํ‹ธ๋ฆฌํ‹ฐ, ๊ณต์กฐ ํ๋ฆ„, ์šด์˜ ์กฐ๊ฑด ๋“ฑ์„ ๊ฐ€์ƒํ™˜๊ฒฝ์— 1:1๋กœ ๋””์ง€ํ„ธ ๋ณต์ œํ•œ ๊ธฐ์ˆ . 

์„ค๊ณ„๋ถ€ํ„ฐ ์šด์˜, ์œ ์ง€๋ณด์ˆ˜๊นŒ์ง€ ์ „ ์ฃผ๊ธฐ(Life Cycle)๋ฅผ ๋””์ง€ํ„ธ๋กœ ๋ฏธ๋ฆฌ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜๊ณ  ๊ฒ€์ฆํ•  ์ˆ˜ ์žˆ๋Š” 4์ฐจ ์‚ฐ์—…ํ˜• ์‹คํ—˜์‹ค ๊ตฌ์ถ• ํ•ต์‹ฌ ์ „๋žต. 


 A Digital Twin is a real-time, data-connected virtual replica of a physical laboratory that simulates structure, layout, utility flow, environmental conditions, and equipment operations.

์ฃผ์š” ๊ธฐ๋Šฅ  Key Capabilities


์‹ค์‹œ๊ฐ„ ๊ตฌ์กฐ ์„ค๊ณ„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜

๊ฐ€์ƒ๊ณต๊ฐ„์—์„œ ์‹คํ—˜์‹ค ๋ฒฝ์ฒด, ํ…Œ์ด๋ธ”, ์ถœ์ž…๊ตฌ ๋“ฑ์˜ ๋ฐฐ์น˜ ๋ณ€๊ฒฝ์„ ์ž์œ ๋กญ๊ฒŒ ์ˆ˜ํ–‰ ๊ฐ€๋Šฅ


โ†’ Dynamic 3D modeling of walls, benches, and entrances in a virtual space


์žฅ๋น„ ๋ฐฐ์น˜ ์ตœ์ ํ™”

GC, HPLC, Clean Bench, Autoclave ๋“ฑ ์žฅ๋น„์˜ ๋ฐฐ๊ธฐ, ์ „์›, ์ง„๋™ ์กฐ๊ฑด์„ ๋ฐ˜์˜ํ•œ ๋ฐฐ์น˜ ์„ค๊ณ„


โ†’ Optimized layout for instruments considering exhaust, power, vibration needs


HVAC & ๊ณต์กฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜

๊ณต๊ธฐ ํ๋ฆ„, ํ’๋Ÿ‰, ์–‘์••/์Œ์•• ์กฐ๊ฑด๊นŒ์ง€ 3D ์‹œ๊ฐํ™” 

โ†’ 3D airflow simulation including positive/negative pressure balancing


๋ฐฐ๊ด€ ๋ฐ ์œ ํ‹ธ๋ฆฌํ‹ฐ ๋ผ์ธ ์„ค๊ณ„

์ˆ˜๋„, ๋ฐฐ์ˆ˜, ๊ฐ€์Šค, ์ „๊ธฐ ๋ผ์ธ์˜ ์œ„์น˜๋ฅผ ๋„๋ฉด๋ณด๋‹ค ๋จผ์ € ์‹œ๋ฎฌ๋ ˆ์ด์…˜ 

โ†’ Pre-simulation of water, gas, drainage, and power utility routes


์ธ์ฒด ๋™์„  ๋ถ„์„ (Ergonomic UX)

์‚ฌ์šฉ์ž์˜ ์ด๋™, ์‚ฌ์šฉ์„ฑ, ์•ˆ์ „ ๋Œ€ํ”ผ ๋™์„ ๊นŒ์ง€ AI๋กœ ์ตœ์ ํ™” 


โ†’ AI-assisted analysis of human movement, usability, and emergency egress


์‹คํ—˜ ์žฅ๋น„ ์ž‘๋™ ์‹œ๋ฎฌ๋ ˆ์ด์…˜

์žฅ๋น„๋ณ„ ์‚ฌ์šฉ ํ™˜๊ฒฝ, ๊ฐ€๋™ ์กฐ๊ฑด, ์œ ์ง€๋ณด์ˆ˜ ๊ฐ€๋Šฅ์„ฑ๊นŒ์ง€ ๊ฒ€ํ†  

โ†’ Run-time simulation of equipment, including maintenance access


๋””์ง€ํ„ธ ์œ ์ง€๋ณด์ˆ˜ ์˜ˆ์ธก

์„ผ์„œ ๋ฐ์ดํ„ฐ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•„ํ„ฐ ๊ต์ฒด, ๊ณ ์žฅ ์œ„ํ—˜, ํ™˜๊ฒฝ ์ด์ƒ ์กฐ๊ธฐ ๊ฐ์ง€ 

โ†’ Predictive maintenance alerts using real-time IoT sensor integration

ํ™œ์šฉ ์‚ฌ๋ก€  Use Cases


์‹ ๊ทœ ์‹คํ—˜์‹ค ์„ค๊ณ„ ์ „ ์˜ˆ์ธก ๋ชจ๋ธ๋ง

์‹คํ—˜์‹ค ์ฐฉ๊ณต ์ „, ๊ตฌ์กฐ์  ๋ฌธ์ œ ๋ฐ ์œ ํ‹ธ๋ฆฌํ‹ฐ ๊ฐ„์„ญ ๊ฐ€๋Šฅ์„ฑ ์‚ฌ์ „ ์ œ๊ฑฐ


๊ฑด์ถ•์‚ฌ/์„ค๊ณ„์‚ฌ/์‚ฌ์šฉ์ž ๊ฐ„ ํ˜‘์—… ์šฉ์ด


๊ธฐ์กด ์‹คํ—˜์‹ค ๋ฆฌ๋…ธ๋ฒ ์ด์…˜ ์ตœ์ ํ™”

๊ธฐ์กด ์žฅ๋น„ ์žฌ๋ฐฐ์น˜ ์ „ ๊ฐ€์ƒ ๊ฒ€ํ† ๋กœ ์‹œ๊ฐ„ ๋ฐ ๋น„์šฉ ์ ˆ๊ฐ

์ฆ์ถ•, ๊ตฌ์กฐ ๋ณ€๊ฒฝ ์‹œ ์•ˆ์ „์„ฑ ์‹œ๋ฎฌ๋ ˆ์ด์…˜


์‹œ๊ณต ์ค‘ ํ˜„์žฅ ๋Œ€์‘ ์†๋„ ํ–ฅ์ƒ

ํ˜„์žฅ ์‹ค์ธก ์˜ค๋ฅ˜ ์‹œ ์ฆ‰์‹œ 3D ๋ฐ˜์˜ํ•˜์—ฌ ๋„๋ฉด ์ˆ˜์ •

์‹œ๊ณต์‚ฌ์™€ ์‹ค์‹œ๊ฐ„ ํ”ผ๋“œ๋ฐฑ ๊ฐ€๋Šฅ


์šด์˜ ์ค‘ ๋””์ง€ํ„ธ ํŠธ์œˆ ๊ธฐ๋ฐ˜ ์œ ์ง€๋ณด์ˆ˜

์žฅ๋น„ ์ƒํƒœ ๋ฐ์ดํ„ฐ์™€ ํŠธ์œˆ ๋ชจ๋ธ ์—ฐ๋™ โ†’ ๋ถ€ํ’ˆ ์ˆ˜๋ช… ์˜ˆ์ธก ๋ฐ ๊ต์ฒด ์•ˆ๋‚ด

๋ƒ‰ยท๋‚œ๋ฐฉ, ํ™˜๊ธฐ ์‹œ์Šคํ…œ ์ž๋™ ์กฐ์ • ๋ฐ ์•Œ๋ฆผ ์ œ๊ณต

๊ธฐ๋Œ€ ํšจ๊ณผ  Expected Benefits


์„ค๊ณ„ ์˜ค๋ฅ˜ ์ตœ์†Œํ™”

Reduces layout and utility design errors


๊ณต์‚ฌ๋น„/์ธ๊ฑด๋น„ ์ ˆ๊ฐ

Saves cost by avoiding rework and miscommunication


์‹œ๊ณต ๊ธฐ๊ฐ„ ๋‹จ์ถ•

Speeds up decision-making and construction cycles


์œ ์ง€๋ณด์ˆ˜ ํšจ์œจํ™”

Improves maintenance planning and reliability


์—ฐ๊ตฌ ํšจ์œจ ํ–ฅ์ƒ

Optimizes researcher workflow and safety


ESG ์นœํ™”ํ˜• ๋””์ง€ํ„ธ ๊ฑด์ถ• ์‹คํ˜„

Supports digital, eco-conscious lab operations

๋””์ง€ํ„ธ ํŠธ์œˆ ์‹คํ—˜์‹ค์€ ๋‹จ์ˆœํ•œ 3D ์„ค๊ณ„๊ฐ€ ์•„๋‹˜.


๋ฐ์ดํ„ฐ ๊ธฐ๋ฐ˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ด ์‹คํ—˜์‹ค์˜ ๋ฏธ๋ž˜๋ฅผ ํ˜„์žฌ์—์„œ ๋ฏธ๋ฆฌ ์™„์„ฑํ•˜๋Š” ๊ธฐ์ˆ 


The Digital Twin Lab is not just 3Dโ€”it is a future-forward simulation tool that brings insight, efficiency, and intelligence into the present.

์ ์šฉ ์‚ฌ๋ก€  Application Scenarios


์‹ ๊ทœ ์‹คํ—˜์‹ค ๊ตฌ์ถ• ์„ค๊ณ„ ์‹œ 

(Design phase of new labs)


์—ฐ๊ตฌ์†Œ ๋ฆฌ๋…ธ๋ฒ ์ด์…˜ ๊ณ„ํš ์‹œ 

(Lab renovation or relocation)


๊ตญ๊ฐ€๊ธฐ๊ด€/๊ณต๊ณต๊ธฐ๊ด€ ๋Œ€ํ˜• ํ”„๋กœ์ ํŠธ 

(National research facilities)


GMP ์‹œ์„ค ๋ฐ ํด๋ฆฐ๋ฃธ ๊ตฌ์กฐ ์‚ฌ์ „ ๊ฒ€์ฆ 

(Pre-validation for GMP & cleanrooms)


๊ต์œก ๋ฐ ํ›ˆ๋ จ ๋ชฉ์  

(VR-based researcher training environments)

๋””์ง€ํ„ธ ํŠธ์œˆ ์‹คํ—˜์‹ค์€ ๋‹จ์ˆœํ•œ 3D ๋ชจ๋ธ๋ง์„ ๋„˜์–ด์„œ, ๊ณต๊ฐ„-๊ธฐ์ˆ -์‚ฌ๋žŒ์ด ํ•˜๋‚˜๋กœ ์—ฐ๊ฒฐ๋œ ์Šค๋งˆํŠธ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ํ™˜๊ฒฝ.

The Digital Twin Lab goes beyond 3D modelingโ€”it's a convergence of space, technology, and human interaction in a smart, data-driven simulation.


LABST๋Š” ์ด๋ฅผ ํ†ตํ•ด ์ •ํ™•์„ฑ, ์•ˆ์ „์„ฑ, ๊ฒฝ์ œ์„ฑ, ํšจ์œจ์„ฑ์„ ๋™์‹œ์— ์‹คํ˜„.


Through this, LABST delivers unmatched precision, safety, cost-efficiency, and usability.

ํ•˜์ด๋ธŒ๋ฆฌ๋“œ ์‹คํ—˜์‹ค ๊ณต๊ฐ„ ๊ตฌ์„ฑ


Hybrid Laboratory Zones


โ€œํ•˜๋‚˜์˜ ๊ณต๊ฐ„, ๋‘ ๊ฐ€์ง€ ์‹คํ—˜ ๋ชฉ์ .โ€ 

โ€œTwo functions. One flexible lab zone.โ€

ํ•˜์ด๋ธŒ๋ฆฌ๋“œ ์‹คํ—˜์‹ค์ด๋ž€?


Wet Lab๊ณผ Dry Lab์˜ ๊ธฐ๋Šฅ์„ ํ•˜๋‚˜์˜ ๊ณต๊ฐ„์— ๊ตฌ์—ญ๋ณ„ ๋˜๋Š” ์‹œ๊ฐ„๋Œ€๋ณ„๋กœ ๊ฒฐํ•ฉํ•˜์—ฌ ๋‹ค์–‘ํ•œ ์—ฐ๊ตฌ ๋ชฉ์ ์— ๋Œ€์‘ํ•  ์ˆ˜ ์žˆ๋Š” ์œตํ•ฉํ˜• ์‹คํ—˜์‹ค ๊ตฌ์กฐ.


Wet Lab: ํ™”ํ•™ ๋ฐ˜์‘, ์‹œ์•ฝ ์‚ฌ์šฉ, ์•ก์ฒด ์ฒ˜๋ฆฌ ๋“ฑ ๋ฌผ๋ฆฌ์  ์‹คํ—˜์ด ํ•„์š”ํ•œ ๊ณต๊ฐ„


Dry Lab: ๋ฐ์ดํ„ฐ ๋ถ„์„, ์‹œ๋ฎฌ๋ ˆ์ด์…˜, ์ „์‚ฐ ์ž‘์—… ์ค‘์‹ฌ์˜ ๊ณต๊ฐ„


โ†’ ๋‘ ๊ฐ€์ง€ ๊ณต๊ฐ„์„ ์œ ๊ธฐ์ ์œผ๋กœ ์—ฐ๊ฒฐํ•ด ์—ฐ์†์  ์—ฐ๊ตฌ ํ”„๋กœ์„ธ์Šค๋ฅผ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•จ.

๊ณต๊ฐ„ ๊ตฌ์„ฑ ๋ฐฉ์‹


Zone ๋ถ„๋ฆฌํ˜• (Zoning)

Wet Lab๊ณผ Dry Lab์„ ํŒŒํ‹ฐ์…˜, ๊ฐ€๊ตฌ, ๋ฐ”๋‹ฅ์žฌ ๋“ฑ์œผ๋กœ ์‹œ๊ฐ/๊ธฐ๋Šฅ์ ์œผ๋กœ ๋ถ„๋ฆฌ


์œ ๋™ํ˜• ๊ฐ€๊ตฌ ์‹œ์Šคํ…œ

๋ชจ๋“ˆํ˜• ์‹คํ—˜๋Œ€, ์ด๋™์‹ ๋ถ„์„๋Œ€, ํด๋”ฉ ํ…Œ์ด๋ธ” ๋“ฑ์œผ๋กœ ๊ตฌ์„ฑ ๋ณ€๊ฒฝ ๊ฐ€๋Šฅ


์‹œ๊ฐ„ ๊ธฐ๋ฐ˜ ํ™œ์šฉ

ํ•˜๋‚˜์˜ ๊ณต๊ฐ„์„ ์˜ค์ „์—๋Š” ํ™”ํ•™ ์‹คํ—˜, ์˜คํ›„์—๋Š” ์ „์‚ฐ ๋ถ„์„ ์šฉ๋„๋กœ ํ™œ์šฉ


์˜ˆ: ์ „๊ธฐ ์‹คํ—˜๋Œ€๊ฐ€ ๋ถ™์€ ๋ถ„์„ ๊ตฌ์—ญ ๋’คํŽธ์— ์ˆ˜๋„ยท๋ฐฐ์ˆ˜์„ค๋น„๊ฐ€ ์žˆ๋Š” ๋ฌผ๋ฆฌํ™”ํ•™ ์‹คํ—˜๋Œ€๊ฐ€ ์„ค์น˜๋จ

๊ธฐ์ˆ ์  ๊ณ ๋ ค์‚ฌํ•ญ


๋ฐ”๋‹ฅ์žฌ

๋‚ดํ™”ํ•™์„ฑยท๋ฏธ๋„๋Ÿผ๋ฐฉ์ง€ PVC / ์—ํญ์‹œ

์ •์ „๊ธฐ ๋ฐฉ์ง€ ESD ํƒ€์ผ ๋˜๋Š” ์นดํŽซํƒ€์ผ


์กฐ๋ช…

๊ณ ํœ˜๋„, ๋‚ด์Šต ๋‚ด์•ฝํ’ˆ LED ์กฐ๋ช…

ํŽธ๊ด‘ยท๋ˆˆ๋ถ€์‹ฌ ๋ฐฉ์ง€ ์กฐ๋ช…


ํ™˜๊ธฐ ๋ฐ ๊ณต์กฐ

๊ตญ์†Œ ๋ฐฐ๊ธฐ ์‹œ์Šคํ…œ, ํ„ํ›„๋“œ ๋“ฑ ํ•„์š”

์ผ๋ฐ˜ ํ™˜๊ธฐ ๋ฐ ์พŒ์ ์˜จ๋„ ์œ ์ง€


์ „๊ธฐ/๋ฐ์ดํ„ฐ ํฌํŠธ

๋ฐฉ์ˆ˜ ์ฝ˜์„ผํŠธ, ๊ณ ์ „๋ ฅ ์ „์› ๋‹ค์ˆ˜ ํ•„์š”

๋„คํŠธ์›Œํฌ ํฌํŠธ, ์ •์ „๊ธฐ ์ฐจ๋‹จ ์„ค๊ณ„ ํ•„์š”


์†Œ์Œ ๊ด€๋ฆฌ

ํ„ํ›„๋“œ, ์žฅ๋น„ ์†Œ์Œ ์ฐจ๋‹จ ํก์Œ์žฌ ์‚ฌ์šฉ

์ง‘์ค‘๋„ ํ–ฅ์ƒ์„ ์œ„ํ•œ ๋ฐฉ์Œ ๋ฐ ์†Œ์Œ ์ œ์–ด

์žฅ์ 


๊ณต๊ฐ„ ํšจ์œจ ๊ทน๋Œ€ํ™” 

โ†’ ํ•œ์ •๋œ ๋ฉด์ ์—์„œ ๋‘ ๊ฐ€์ง€ ์‹คํ—˜ ํ™œ๋™ ๊ฐ€๋Šฅ (์˜ˆ: 60mยฒ๋กœ Wet + Dry ์šด์šฉ)


์—ฐ๊ตฌ ํ”„๋กœ์„ธ์Šค ์—ฐ์†์„ฑ ํ–ฅ์ƒ 

โ†’ ์‹œ๋ฃŒ ๋ถ„์„ โ†’ ๋ฐ์ดํ„ฐ ์ฒ˜๋ฆฌ โ†’ ๊ฒฐ๊ณผ ๋„์ถœ๊นŒ์ง€ ํ•˜๋‚˜์˜ ๊ณต๊ฐ„์—์„œ ํ•ด๊ฒฐ


๋น„์šฉ ์ ˆ๊ฐ 

โ†’ ์„ค๋น„ ์ค‘๋ณต ์—†์ด ํšจ์œจ์ ์œผ๋กœ ์ž์› ํ™œ์šฉ ๊ฐ€๋Šฅ


๋‹คํ•™์ œ ์œตํ•ฉ ์—ฐ๊ตฌ ์ง€์› 

โ†’ ์ƒ๋ช…๊ณผํ•™ + ๋ฐ์ดํ„ฐ์‚ฌ์ด์–ธ์Šค, ํ™”ํ•™ + ๊ธฐ๊ณ„์„ค๊ณ„ ๋“ฑ ํ˜‘์—… ๊ตฌ์กฐ ์œ ๋ฆฌ

์‹ค์ œ ์‚ฌ๋ก€ ์‘์šฉ


์ œ์•ฝ R&D

์•ž์ชฝ์€ ๋ถ„์„๊ธฐ๊ธฐ, ๋’ค์ชฝ์€ ์ปดํ“จํ„ฐ ๊ธฐ๋ฐ˜ ๋…์„ฑ ๋ถ„์„ ์‹œ์Šคํ…œ ๋ฐฐ์น˜


ํ™˜๊ฒฝ ๋ถ„์„์‹ค

ํ•œ์ชฝ์€ ์‹œ๋ฃŒ ์ „์ฒ˜๋ฆฌ, ๋ฐ˜๋Œ€์ชฝ์€ GIS ๋ฐ ํ†ต๊ณ„ ๋ถ„์„์šฉ Dry Lab


๋ฐ”์ด์˜ค ์ฐฝ์—…์—ฐ๊ตฌ์†Œ

Wet โ†’ ์‹คํ—˜๋ฐ์ดํ„ฐ ํ™•๋ณด, Dry โ†’ AI ๋ถ„์„ ํ†ตํ•œ ์˜์•ฝํ’ˆ ํ›„๋ณด ๋„์ถœ


๋Œ€ํ•™ ์œตํ•ฉ์—ฐ๊ตฌ์‹ค

ํŒ€๋ณ„๋กœ Wet/Dry ํ™œ๋™ ๋ถ„์‚ฐ ๋ฐฐ์น˜, ๊ณต๋™๊ณต๊ฐ„์€ ํšŒ์˜ยท๊ณต์œ  ์šฉ๋„๋กœ ์‚ฌ์šฉ

๋ฏธ๋ž˜ ํ™•์žฅ ๊ฐ€๋Šฅ์„ฑ (LABST ๊ด€์  ์ œ์•ˆ)


IoT ๊ธฐ๋ฐ˜ ๊ณต๊ฐ„ ์ „ํ™˜ ์‹œ์Šคํ…œ 

โ†’ โ€œ์ง€๊ธˆ์€ Wet ๋ชจ๋“œโ€๋ผ๊ณ  ์•ฑ์œผ๋กœ ์„ค์ •ํ•˜๋ฉด, ์กฐ๋ช…ยท์˜จ๋„ยท๋ฐฐ๊ธฐ ์ž๋™ ์ „ํ™˜


์Šฌ๋ผ์ด๋”ฉ ๋ชจ๋“ˆ ๋ฒฝ์ฒด 

โ†’ ํ•„์š” ์‹œ ๊ณต๊ฐ„์„ ์—ด๊ฑฐ๋‚˜ ๋‚˜๋ˆ  ํ™œ์šฉ (๊ต์‹ค์ฒ˜๋Ÿผ ๋ฐ”๊พธ๊ฑฐ๋‚˜ ์ „๋ฉด ์‹คํ—˜์‹ค๋กœ ํ™•์žฅ)


AR ๊ธฐ๋ฐ˜ ๋™์„  ์‹œ๊ฐํ™” ์‹œ์Šคํ…œ 

โ†’ ์‹คํ—˜์‹ค ์ง„์ž… ์‹œ, ์–ด๋–ค ๊ตฌ์—ญ์ด Dry Lab์ธ์ง€, ๋ˆ„๊ตฌ์™€ ํ˜‘์—… ์ค‘์ธ์ง€ ์‹œ๊ฐํ™”

ํ•˜์ด๋ธŒ๋ฆฌ๋“œ ์‹คํ—˜์‹ค์€ ๋‹จ์ˆœํ•œ ๊ณต๊ฐ„ ํ†ตํ•ฉ์„ ๋„˜์–ด, "์—ฐ๊ตฌ์˜ ํ๋ฆ„"๊ณผ "์ฐฝ์˜์  ํ˜‘์—…"์„ ์ตœ์ ํ™”ํ•˜๋Š” ์ „๋žต์  ๊ณต๊ฐ„. 


LABST๋Š” ์ด ํ๋ฆ„์„ ์„ค๊ณ„.

์‹ค์‹œ๊ฐ„ ์•ˆ์ „ ์ œ์–ด ์‹œ์Šคํ…œ


Real-Time Safety Control System 

โ€œ์‚ฌ๊ณ ๋Š” ์˜ˆ๋ฐฉํ•˜๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.โ€ 

โ€œSafety that thinks ahead.โ€

์‹œ์Šคํ…œ ๊ฐœ์š”  System Overview


์‹ค์‹œ๊ฐ„ ์•ˆ์ „ ์ œ์–ด ์‹œ์Šคํ…œ์€ ์œ ํ•ด ์ƒํ™ฉ์„ ์‚ฌ์ „์— ๊ฐ์ง€ํ•˜๊ณ , ์ž๋™์œผ๋กœ ๋Œ€์‘ํ•˜๊ฑฐ๋‚˜ ๊ฒฝ๊ณ ๋ฅผ ๋ฐœ์ƒ์‹œํ‚ค๋Š” ํ†ตํ•ฉ ์•ˆ์ „ ํ”Œ๋žซํผ. 


์‹คํ—˜์‹ค, ๊ณต์žฅ, ๋ณ‘์›, ์ œ์•ฝ ์‹œ์„ค ๋“ฑ ์œ„ํ—˜๋ฌผ์งˆ์ด๋‚˜ ์—๋„ˆ์ง€์›์ด ์กด์žฌํ•˜๋Š” ํ™˜๊ฒฝ์—์„œ ํ•„์ˆ˜๋กœ ๋„์ž…๋˜๋Š” ์‹œ์Šคํ…œ.


This system is designed to continuously monitor hazardous conditions in real time and initiate automatic or alert-based safety responses to prevent accidents and protect personnel and assets.

๊ตฌ์„ฑ ์š”์†Œ  Key Components


๊ฐ์ง€ ์„ผ์„œ

๊ฐ€์Šค, ์˜จ๋„, ์—ฐ๊ธฐ, ๋ถˆ๊ฝƒ, ๋ˆ„์ˆ˜ ๋“ฑ ๊ฐ์ง€

Gas, temperature, smoke, flame, leak detectors


์ค‘์•™ ์ œ์–ด ํŒจ๋„

์„ผ์„œ ์‹ ํ˜ธ ํ†ตํ•ฉ, ์ƒํƒœ ๋ชจ๋‹ˆํ„ฐ๋ง

Central control unit / safety dashboard


์•Œ๋žŒ ์‹œ์Šคํ…œ

๊ฒฝ๋ณด์Œ, ์‹œ๊ฐ ์•Œ๋žŒ, ๋ฉ”์‹œ์ง€ ์•Œ๋ฆผ

Sirens, beacons, SMS/email alerts


์ฐจ๋‹จ ์žฅ์น˜

์ „์› ์ฐจ๋‹จ, ๊ฐ€์Šค ๋ฐธ๋ธŒ ํ์‡„

Shut-off valves, emergency stop


์ž๋™ ํ™˜๊ธฐ ์‹œ์Šคํ…œ

์œ ํ•ด๊ฐ€์Šค ๋ฐœ์ƒ ์‹œ ๊ณต์กฐ ์—ฐ๋™

Automatic exhaust & ventilation


๋กœ๊ทธ ๋ฐ ๊ธฐ๋ก ์‹œ์Šคํ…œ

์ด๋ ฅ ๊ธฐ๋ก, ๋ถ„์„์šฉ ๋ฐ์ดํ„ฐ ์ถ•์ 

Safety event logging & data archiving

์ž‘๋™ ์›๋ฆฌ  How It Works


์ง€์†์ ์ธ ๊ฐ์ง€ (Continuous Monitoring)

์Šค๋งˆํŠธ ์„ผ์„œ๊ฐ€ ์‹ค์‹œ๊ฐ„์œผ๋กœ ๊ฐ€์Šค ๋†๋„, ์˜จ๋„ ์ƒ์Šน, ์—ฐ๊ธฐ ๋ฐœ์ƒ ๋“ฑ์„ ๋ชจ๋‹ˆํ„ฐ๋ง

์˜ˆ: ์•”๋ชจ๋‹ˆ์•„ 25ppm ์ด์ƒ โ†’ ๊ฒฝ๊ณ  ๋ฐœ์ƒ  


์ž๋™ ํŒ๋‹จ ๋ฐ ๊ฒฝ๋ณด (Decision & Alert) 

์„ค์ •๋œ ์ž„๊ณ„์น˜๋ฅผ ์ดˆ๊ณผํ•˜๋ฉด ๊ฒฝ๋ณด ์‹œ์Šคํ…œ ์ž‘๋™ 

์Œํ–ฅ ๊ฒฝ๊ณ (์‚ฌ์ด๋ Œ), ๊ฒฝ๊ด‘๋“ฑ ์ ๋“ฑ, ๋ฌธ์ž ๋ฉ”์‹œ์ง€ ์ „์†ก


์ฆ‰๊ฐ ๋Œ€์‘ (Immediate Response) 

์ž๋™์œผ๋กœ ๊ฐ€์Šค ๋ฐธ๋ธŒ ์ฐจ๋‹จ, ์‹คํ—˜์‹ค ์ „์› ์ฐจ๋‹จ, ํ™˜๊ธฐ ์‹œ์Šคํ…œ ์ž‘๋™

์›๊ฒฉ์—์„œ๋„ ๋Œ€์‘ ๊ฐ€๋Šฅ (๋ชจ๋ฐ”์ผ ์•ฑ, PC)


๊ธฐ๋ก ๋ฐ ๋ณด๊ณ  (Logging & Feedback)

์‚ฌ๊ฑด ๋ฐœ์ƒ ์‹œ์ , ๊ฐ์ง€ ์ˆ˜์น˜, ์กฐ์น˜ ๋‚ด์šฉ์„ ์ž๋™ ๊ธฐ๋ก

ํ–ฅํ›„ ์‚ฌ๊ณ  ์˜ˆ๋ฐฉ ๋ฐ SOP ๊ฐœ์„ ์— ํ™œ์šฉ

์‹คํ—˜์‹ค ์ ์šฉ ์˜ˆ์‹œ  Use Case in Labs


ํ™”ํ•™ ์‹คํ—˜์‹ค

์•„์„ธํ†ค ์ฆ๊ธฐ ๊ฐ์ง€ ์‹œ ์ž๋™ ํ™˜๊ธฐ ๋ฐ ํ›„๋“œ ๊ฐ€๋™


์ œ์•ฝ GMP ์„ค๋น„

ํ•ญ์˜จํ•ญ์Šต ์ฑ”๋ฒ„ ๋‚ด ๊ณผ์—ด ์‹œ ์žฅ๋น„ ์ž๋™ ์ •์ง€


์ƒ๋ฌผ์•ˆ์ „์‹ค (BSL)

๊ฐ€์•• ๋ฉธ๊ท ๊ธฐ ์ฆ๊ธฐ ๋ˆ„์ถœ ์‹œ ๊ฒฝ๊ณ  ๋ฐ ์ถœ์ž… ์ฐจ๋‹จ


๋ฐ˜๋„์ฒด ์‹คํ—˜์‹ค

ํ”Œ๋ฃจ์˜ค๋ฆฐ ๊ฐ€์Šค ๋ˆ„์ถœ ๊ฐ์ง€ ํ›„ ๊ตญ์†Œ ๋ฐฐ๊ธฐ ์ž๋™ ์ž‘๋™

๊ณ ๊ธ‰ ๊ธฐ๋Šฅ (์„ ํƒ์  ๋„์ž…)  Advanced Features (Optional)


AI ๊ธฐ๋ฐ˜ ์ด์ƒ ํŒจํ„ด ํƒ์ง€ 

โ†’ ํ‰์†Œ์™€ ๋‹ค๋ฅธ ์กฐ๊ฑด์„ ์Šค์Šค๋กœ ์ธ์ง€ํ•˜์—ฌ ์กฐ๊ธฐ ๊ฒฝ๊ณ 


๋ชจ๋ฐ”์ผ ์—ฐ๋™ ์•ฑ ์ œ๊ณต 

โ†’ ์‹ค์‹œ๊ฐ„ ์•Œ๋ฆผ, ์‹คํ—˜์‹ค ์ƒํƒœ ์›๊ฒฉ ํ™•์ธ ๋ฐ ๋Œ€์‘


BMS/HVAC ์—ฐ๋™ 

โ†’ ๊ฑด๋ฌผ ์ „์ฒด ๊ณต์กฐ ๋ฐ ์ „๋ ฅ ์‹œ์Šคํ…œ๊ณผ ํ†ตํ•ฉ ์ œ์–ด


์ง€๋Šฅํ˜• ๋Œ€ํ”ผ ๊ฒฝ๋กœ ์•ˆ๋‚ด ์‹œ์Šคํ…œ 

โ†’ ์‚ฌ๊ณ  ์‹œ ์•ˆ์ „ ์ถœ๊ตฌ ์ž๋™ ์กฐ๋ช…, ํ”ผ๋‚œ ๊ฒฝ๋กœ ์Œ์„ฑ ์•ˆ๋‚ด

๊ธฐ๋Œ€ ํšจ๊ณผ  Expected Benefits


์‚ฌ๊ณ  ์˜ˆ๋ฐฉ

์„ผ์„œ๊ฐ€ ๋จผ์ € ์ธ์ง€ํ•˜๊ณ  ์‹œ์Šคํ…œ์ด ์ž๋™ ๋Œ€์‘


์‹ ์†ํ•œ ๋Œ€์‘

์‚ฌ๋žŒ์ด ๋ชฐ๋ผ๋„ ์ž๋™ ์ œ์–ด๋กœ ํ”ผํ•ด ์ตœ์†Œํ™”


๋ฐ์ดํ„ฐ ๊ธฐ๋ฐ˜ ๊ฐœ์„ 

์•ˆ์ „ ๊ธฐ๋ก ๊ธฐ๋ฐ˜ SOP ๊ฐœ์„  ๋ฐ ๋ณด๊ณ ์„œ ์ž‘์„ฑ ์šฉ์ด


์šด์˜ ๋ฆฌ์Šคํฌ ๊ฐ์†Œ

ํ™”์žฌ, ๊ฐ€์Šค ์‚ฌ๊ณ  ๋“ฑ ์ค‘๋Œ€์‚ฌ๊ณ  ํ™•๋ฅ  ๊ฐ์†Œ

LABST์˜ ์‹ค์‹œ๊ฐ„ ์•ˆ์ „ ์ œ์–ด ์‹œ์Šคํ…œ์€ ๋‹จ์ˆœํ•œ ๊ฒฝ๋ณด๋ฅผ ๋„˜์–ด, ์‹คํ—˜์‹ค์„ ์Šค์Šค๋กœ ์‚ฌ๊ณ ๋ฅผ ์ธ์ง€ํ•˜๊ณ  ๋Œ€์‘ํ•˜๋Š” ์ง€๋Šฅํ˜• ๊ณต๊ฐ„์œผ๋กœ ์ง„ํ™”์‹œํ‚ด.


The Real-Time Safety Control System by LABST transforms the laboratory into a self-aware and responsive environment that actively prevents and mitigates risk.

์ž๋™ํ™”๋œ ์žฅ๋น„ ํ”Œ๋žซํผ & ๋กœ๋ด‡ ์‹คํ—˜ ๋ณด์กฐ


Automated Instrument Platforms & Robotic Assistants


โ€œ์ธ๊ฐ„์€ ์•„์ด๋””์–ด์— ์ง‘์ค‘ํ•˜๊ณ , ๋ฐ˜๋ณต์€ ๋กœ๋ด‡์—๊ฒŒ ๋งก๊ธฐ์„ธ์š”.โ€

"Humans focus on innovation. Robots handle repetition."

๊ฐœ๋… ์ •์˜  Definition


์ž๋™ํ™”๋œ ์žฅ๋น„ ํ”Œ๋žซํผ์€ ์‹คํ—˜์‹ค ๋‚ด ์ฃผ์š” ์žฅ๋น„๋“ค์ด ์ž๋™ ์ œ์–ด ์‹œ์Šคํ…œ๊ณผ ์—ฐ๋™๋˜์–ด ์ž‘๋™๋˜๋Š” ํ†ตํ•ฉ ์‹œ์Šคํ…œ. 


์—ฌ๊ธฐ์— ๋กœ๋ด‡ ์‹คํ—˜ ๋ณด์กฐ ์‹œ์Šคํ…œ์ด ๊ฒฐํ•ฉ๋˜๋ฉด, ๋‹จ์ˆœํ•˜๊ณ  ๋ฐ˜๋ณต์ ์ธ ์—…๋ฌด๋Š” ๋กœ๋ด‡์ด ๋งก๊ณ , ์—ฐ๊ตฌ์ž๋Š” ์ฐฝ์˜์ ์ด๊ณ  ๊ณ ์ฐจ์›์ ์ธ ์—ฐ๊ตฌ์— ์ง‘์ค‘.


Itโ€™s not just a robotic arm. Itโ€™s a revolution in how R&D is executed.

์ฃผ์š” ๊ธฐ๋Šฅ  Key Functionalities


์ƒ˜ํ”Œ ์ „์ฒ˜๋ฆฌ ์ž๋™ํ™”

์‹œ๋ฃŒ ํฌ์„, ๋ถ„์ฃผ, ํ˜ผํ•ฉ, ์›์‹ฌ๋ถ„๋ฆฌ ๋“ฑ์˜ ๊ณต์ • ์ž๋™ํ™”

Automated sample dilution, pipetting, mixing, and centrifugation


์žฅ๋น„ ๊ตฌ๋™ ์ž๋™ํ™”

HPLC, GC, LC-MS/MS ๋“ฑ์˜ ์žฅ๋น„๋ฅผ ์†Œํ”„ํŠธ์›จ์–ด๋กœ ์ž๋™ ์ œ์–ด

Instrument control for HPLC, GC, LC-MS/MS via software


๋ฐ์ดํ„ฐ ์ˆ˜์ง‘ ๋ฐ ๋กœ๊น… ์ž๋™ํ™”

์‹คํ—˜ ๊ฒฐ๊ณผ๋ฅผ ์‹ค์‹œ๊ฐ„ ์ €์žฅํ•˜๊ณ  ๋ถ„์„ํ•˜๋ฉฐ 

LIMS์™€ ์—ฐ๋™ ๊ฐ€๋Šฅ Real-time data logging, analysis, and LIMS integration


๋กœ๋ด‡ ์‹คํ—˜ ๋ณด์กฐ

๋กœ๋ด‡ํŒ”์ด ์‹œ์•ฝ ์šด๋ฐ˜, ํŠœ๋ธŒ ๊ต์ฒด, ์žฅ๋น„ ๊ฐ„ ์ธํ„ฐํŽ˜์ด์Šค ์—ญํ•  ์ˆ˜ํ–‰

Robotic arms handle material transfer, vial replacement, and interfacing between devices


์Šค์ผ€์ค„ ๊ธฐ๋ฐ˜ ๋ฌด์ธ ์šด์ „ ๊ฐ€๋Šฅ

์•ผ๊ฐ„, ์ฃผ๋ง ๋“ฑ ๋ฌด์ธ ์ƒํƒœ์—์„œ๋„ ์‹คํ—˜ ๊ฐ€๋ŠฅEnables overnight and weekend unmanned operation


์—๋Ÿฌ ๊ฐ์ง€ ๋ฐ ์ž๊ฐ€ ๋ณต๊ตฌ ๊ธฐ๋Šฅ

๋กœ๋ด‡์ด ์ž์ฒด ์„ผ์„œ๋ฅผ ํ†ตํ•ด ์˜ค๋ฅ˜๋ฅผ ๊ฐ์ง€ํ•˜๊ณ  ๋ณต๊ตฌ ํ”„๋กœ์„ธ์Šค๋ฅผ ์ˆ˜ํ–‰

Error detection and self-correction via onboard sensors

๊ตฌ์„ฑ ์˜ˆ์‹œ  System Configuration Example


[๋กœ๋ด‡ ํŒ”] โ€” [์ƒ˜ํ”Œ ํŠธ๋ ˆ์ด] โ€” [HPLC or GC-MS] โ€” [๋ฐ์ดํ„ฐ ์ €์žฅ ์„œ๋ฒ„] โ€” [AI ๋ชจ๋‹ˆํ„ฐ๋ง ๋Œ€์‹œ๋ณด๋“œ]


์ƒ˜ํ”Œ์„ ๋กœ๋”ฉํ•œ ํ›„ ์ž๋™์œผ๋กœ ๋ถ„์„๊ธฐ๊ธฐ๋กœ ์ด์†ก


๋ถ„์„ ํ›„ ๋ฐ์ดํ„ฐ ์ž๋™ ์ €์žฅ ๋ฐ ๋ณด๊ณ ์„œ ์ƒ์„ฑ


์˜ค๋ฅ˜ ๋ฐœ์ƒ ์‹œ ์‹ค์‹œ๊ฐ„ ์•Œ๋ฆผ ๋ฐ ์•ˆ์ „ ์ •์ง€


๋ถ„์„๊ธฐ ๊ฐ„ ์—ฐ๊ณ„ ์ž‘์—…๋„ ๊ฐ€๋Šฅ (e.g., LC โ†’ MS โ†’ ์ €์žฅ)

์‹คํ—˜์‹ค ์ž๋™ํ™” ๋„์ž… ํšจ๊ณผ   Key Benefits


์žฌํ˜„์„ฑ ํ–ฅ์ƒ

์‚ฌ๋žŒ๋งˆ๋‹ค ๋‹ฌ๋ž๋˜ ์‹คํ—˜ ๊ฒฐ๊ณผ๋ฅผ ํ‘œ์ค€ํ™”ํ•˜์—ฌ ์‹คํ—˜ ํŽธ์ฐจ ์ตœ์†Œํ™”

Improved reproducibility and standardization


์‹œ๊ฐ„ ์ ˆ์•ฝ

ํ•˜๋ฃจ 24์‹œ๊ฐ„, ์ฃผ 7์ผ ์šด์˜ ๊ฐ€๋Šฅ

24/7 continuous operation


์ธ๊ฑด๋น„ ์ ˆ๊ฐ

๋ฐ˜๋ณต ์ž‘์—… ์ž๋™ํ™”๋กœ ์ธ๋ ฅ ํˆฌ์ž… ๊ฐ์†Œ

Reduced labor costs by automating routine tasks


์‹คํ—˜ ์ƒ์‚ฐ์„ฑ ํ–ฅ์ƒ

์‹œ๋ฃŒ ์ฒ˜๋ฆฌ๋Ÿ‰ ์ฆ๊ฐ€ + ์˜ค๋ฅ˜ ๊ฐ์†Œ

Higher throughput and lower error rates


์—ฐ๊ตฌ์ž ์ŠคํŠธ๋ ˆ์Šค ๊ฐ์†Œ

์ง€๋ฃจํ•˜๊ณ  ๋ฐ˜๋ณต์ ์ธ ์ž‘์—…์—์„œ ๋ฒ—์–ด๋‚˜ ์ฐฝ์˜์  ์—ฐ๊ตฌ์— ์ง‘์ค‘ ๊ฐ€๋Šฅ

Less fatigue, more focus on high-value scientific work

์ ์šฉ ๋ถ„์•ผ  Applicable Fields


์ œ์•ฝ/๋ฐ”์ด์˜ค ์—ฐ๊ตฌ์†Œ: ์•ฝ๋ฌผ ์Šคํฌ๋ฆฌ๋‹, ๋…์„ฑ ์‹คํ—˜, ์„ธํฌ ๋ฐฐ์–‘ ์ž๋™ํ™”


๋ถ„์„ ์‹คํ—˜์‹ค: GC, HPLC, ICP-MS ๋“ฑ์˜ ์‹œ๋ฃŒ ์ž๋™ ํˆฌ์ž… ๋ฐ ๊ฒฐ๊ณผ ์ €์žฅ


ํ™˜๊ฒฝ ๋ถ„์„๊ธฐ๊ด€: ์ˆ˜์งˆยทํ† ์–‘ยท๋Œ€๊ธฐ ์ค‘ ์˜ค์—ผ๋ฌผ์งˆ ๋ถ„์„ ์ž๋™ํ™”


์‹ํ’ˆ ๋ฐ ํ™”ํ•™ ํ’ˆ์งˆ๊ด€๋ฆฌ: ์‹œ๋ฃŒ ์ฒ˜๋ฆฌ ๋ฐ ์ •๋Ÿ‰ ๋ถ„์„ ์ž๋™ํ™”


์Šค๋งˆํŠธ ์‹คํ—˜์‹ค ๊ตฌ์ถ• ํ”„๋กœ์ ํŠธ: ๋””์ง€ํ„ธ ์ „ํ™˜ ํ•ต์‹ฌ ๊ตฌ์„ฑ ์š”์†Œ

ํŠธ๋ Œ๋“œ ํฌ์ธํŠธ  Strategic Insight


AI + ๋กœ๋ณดํ‹ฑ์Šค + LIMS ์—ฐ๊ณ„๊ฐ€ ํ•ต์‹ฌ


์‚ฌ๋žŒ๋ณด๋‹ค ๋” ๋น ๋ฅด๊ณ  ์ •ํ™•ํ•˜๊ฒŒ 99.99% ๋ฐ˜๋ณต ์ผ์ฒ˜๋ฆฌ


๋ฐ์ดํ„ฐ ๊ธฐ๋ฐ˜ R&D์˜ ์ •๋ฐ€๋„ยท์†๋„ยท์‹ ๋ขฐ์„ฑ ๋™์‹œ ํ™•๋ณด

โ€œ์ž๋™ํ™”๋œ ํ”Œ๋žซํผ์€ ๋‹จ์ˆœํ•œ ๋„๊ตฌ๊ฐ€ ์•„๋‹Œ, ์—ฐ๊ตฌ ํ˜์‹ ์˜ ๊ธฐ๋ฐ˜์ž…๋‹ˆ๋‹ค.


โ€œAutomation isnโ€™t just efficiency. Itโ€™s the foundation of scientific evolution.โ€

์ง๊ด€์ ์ธ ์‹คํ—˜์‹ค ๋™์„  UX ์„ค๊ณ„


Intuitive Lab Navigation & Workflow UX Design


โ€œ์—ฐ๊ตฌ์ž๋Š” ์›€์ง์ž„๋„ ๊ณ„์‚ฐํ•ฉ๋‹ˆ๋‹ค.โ€

โ€œMovement is part of the research equation.โ€

๊ฐœ๋… ์ •์˜  Definition


์ง๊ด€์ ์ธ ์‹คํ—˜์‹ค ๋™์„  ์„ค๊ณ„๋ž€, 

์‹คํ—˜์‹ค ์‚ฌ์šฉ์ž์˜ ํ–‰๋™ ํ๋ฆ„, ์‹คํ—˜ ์ ˆ์ฐจ, ์‚ฌ๊ณ  ๊ฒฝ๋กœ๋ฅผ ๋ถ„์„ํ•˜์—ฌ, ๊ธฐ๊ธฐ ๋ฐฐ์น˜ยท๊ฐ€๊ตฌ ์œ„์น˜ยท์ด๋™ ๊ฒฝ๋กœ๋ฅผ UX(User Experience) ๊ธฐ๋ฐ˜์œผ๋กœ ์ตœ์ ํ™”ํ•˜๋Š” ์„ค๊ณ„ ์ „๋žต


์‚ฌ์šฉ์ž๋Š” ์‹คํ—˜์— ์ง‘์ค‘ํ•˜๊ณ , ๊ณต๊ฐ„์€ ์ž์—ฐ์Šค๋Ÿฝ๊ฒŒ ๊ธธ์„ ์•ˆ๋‚ดํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค.

์™œ ์ค‘์š”ํ•œ๊ฐ€์š”?  Why It Matters


์•ˆ์ „

๋ถˆํ•„์š”ํ•œ ๋™์„ ์€ ํ™”ํ•™์•ฝํ’ˆ ์šด๋ฐ˜ ์ค‘ ์ถฉ๋Œยท๋ˆ„์ถœ ์œ„ํ—˜ ์ฆ๊ฐ€


ํšจ์œจ์„ฑ

๋ฐ˜๋ณต ์ด๋™ ์‹œ๊ฐ„ ๊ฐ์†Œ โ†’ ์‹คํ—˜ ์ง„ํ–‰ ์†๋„ ํ–ฅ์ƒ


์ง‘์ค‘๋ ฅ

๋…ผ๋ฆฌ์ ์ธ ํ๋ฆ„์— ๋”ฐ๋ฅธ ๊ตฌ์„ฑ์€ ์‹ฌ๋ฆฌ์  ์•ˆ์ •๊ฐ์„ ์คŒ


์—๋„ˆ์ง€ ์†Œ๋ชจ ๊ฐ์†Œ

์„ค๊ณ„๋œ ๋™์„ ์ด ๊ณง ์—ฐ๊ตฌ์ž์˜ ์ฒด๋ ฅ ๋ณดํ˜ธ์„ 

์„ค๊ณ„ ์š”์†Œ๋ณ„ ๋””ํ…Œ์ผ  Design Elements in Detail


A. UX ๊ธฐ๋ฐ˜ ๊ณต๊ฐ„ ํ๋ฆ„ ์„ค๊ณ„

UX-driven Spatial Flow Design

์ „์ฒ˜๋ฆฌ โ†’ ๋ถ„์„ โ†’ ๋ณด๊ด€ ๋“ฑ์˜ ์‹คํ—˜ ํ”„๋กœ์„ธ์Šค ํ๋ฆ„์— ๋”ฐ๋ผ ์‹ค๋ณ„ ์œ„์น˜์™€ ํ†ต๋กœ ๊ตฌ์„ฑ

์‹คํ—˜์ž ๋™์„ ์„ ์ตœ์†Œ ํšŒ๊ท€ ๊ฒฝ๋กœ(Minimal Return Path)๋กœ ์„ค๊ณ„

์‹ค๋ณ„ ๊ฐ„ ๊ฒฝ๊ณ„๋Š” ์‹œ๊ฐ์  ๋ช…ํ™•์„ฑ + ์ด๋™ ๋™์„  ํ‘œ์‹œ (์ปฌ๋Ÿฌ ๋ผ์ธ, ๋ฐ”๋‹ฅ ์Šคํ‹ฐ์ปค, LED ๊ฐ€์ด๋“œ ๋“ฑ)


B. ์Šค๋งˆํŠธ ๋ผ๋ฒจ๋ง & ๊ณต๊ฐ„ ์•ˆ๋‚ด ์‹œ์Šคํ…œ

Smart Labeling & Wayfinding System

์‹คํ—˜๋Œ€, ์žฅ๋น„, ์‹œ์•ฝ๋ณด๊ด€์†Œ์— QR์ฝ”๋“œ ๋ผ๋ฒจ๋ง โ†’ ์žฅ๋น„ ๋งค๋‰ด์–ผ, ์ ๊ฒ€์ด๋ ฅ ๋“ฑ ์—ฐ๋™

๋ชจ๋“ˆ ๊ตฌ์—ญ๋ณ„ ๋„ค์ด๋ฐ ์‹œ์Šคํ…œ: ๋ถ„์„A, ์ค€๋น„B, ์„ธ์ฒ™C ๋“ฑ์œผ๋กœ ์‚ฌ์šฉ์ž๊ฐ€ ์ง๊ด€์ ์œผ๋กœ ํŒŒ์•…

์œ„์น˜ ์•ˆ๋‚ด ์‚ฌ์ธ(Signage)์€ ๋™์„  ํ๋ฆ„ ์ค‘์‹ฌ ์‹œ์•ผ๊ฐ์— ์œ„์น˜ (150cm ๋†’์ด, ๋ˆˆ๋†’์ด ๊ธฐ์ค€)


C. ์‹คํ—˜ ํ๋ฆ„ ์ค‘์‹ฌ ๋ฐฐ์น˜ ๊ตฌ์กฐ

Flow-Based Functional Zoning


์‚ฌ์šฉ ๋นˆ๋„ ๋†’์€ ์žฅ๋น„๋Š” ์ฃผ ์ด๋™ ๊ฒฝ๋กœ์˜ ์ค‘์‹ฌ ๋˜๋Š” ์ž‘์—… ์‹œ์ž‘์  ์ธ๊ทผ์— ๋ฐฐ์น˜

ํ™”ํ•™ ์‹œ์•ฝยทํ๊ธฐ๋ฌผ ๊ตฌ์—ญ์€ ์ผ๋ฐฉํ–ฅ ๋™์„  ์„ค๊ณ„๋กœ ๊ต์ฐจ ์˜ค์—ผ ๋ฐฉ์ง€

์‹คํ—˜๋Œ€ ๊ฐ„ ๊ฐ„๊ฒฉ์€ ์žฅ๋น„ ์šด๋ฐ˜ ๊ฑฐ๋ฆฌ ๋ฐ ํ˜‘์—… ๋ฒ”์œ„๋ฅผ ๊ณ ๋ คํ•œ ์ตœ์†Œ ์œ ํšจ๊ฑฐ๋ฆฌ ํ™•๋ณด (์˜ˆ: 1.2m)

์‹ฌ๋ฆฌ์  UX๊นŒ์ง€ ๊ณ ๋ ค  Emotional UX Consideration


ํ”ผ๋กœ๋„ ์ตœ์†Œํ™” ์„ค๊ณ„: ๋™์„  ๋์— ์ž์—ฐ์Šค๋Ÿฌ์šด ํœด์‹ ์ŠคํŒŸ ๋ฐฐ์น˜ (์กฐ๋„ ๋‚ฎ์ถ”๊ธฐ, ๋ฐฉ์Œ ํŒจ๋„ ์ ์šฉ)


์‹œ์„  ์œ ๋„ ์„ค๊ณ„: ์‹คํ—˜ ๋™์„ ์— ๋”ฐ๋ผ ์ง‘์ค‘์ด ํ•„์š”ํ•œ ๊ณต๊ฐ„์€ ๋‹จ์ƒ‰, ํœด๊ฒŒ ๊ณต๊ฐ„์€ ์ปฌ๋Ÿฌ์กด ์ ์šฉ


๋ถˆํ™•์‹ค์„ฑ ์ œ๊ฑฐ UX: โ€œ์ด๊ฑด ์–ด๋””์— ์žˆ์„๊นŒ?โ€๋ฅผ ์ค„์ด๋Š” ์˜ˆ์ธก ๊ฐ€๋Šฅํ•˜๊ณ  ์ต์ˆ™ํ•œ ๋ฐฐ์น˜ ์ฒด๊ณ„ โ†’ ์ŠคํŠธ๋ ˆ์Šค ๊ฐ์†Œ

๊ธฐ๋Œ€ ํšจ๊ณผ  Expected Benefits


์ž‘์—… ํšจ์œจ์„ฑ ์ฆ๊ฐ€ ์ด๋™ ๊ฒฝ๋กœ ์ตœ์†Œํ™” โ†’ ํ•˜๋ฃจ ์ž‘์—…๋Ÿ‰ ์ฆ๊ฐ€


์‹คํ—˜ ์˜ค๋ฅ˜ ๊ฐ์†Œ ์‹œ์•ฝ ํ˜ผ๋™, ์žฅ๋น„ ์œ„์น˜ ์˜ค๋ฅ˜ ์ตœ์†Œํ™”


์—ฐ๊ตฌ ๋ชฐ์ž…๋„ ํ–ฅ์ƒ ๋ณต์žกํ•œ ๊ณต๊ฐ„ ์ŠคํŠธ๋ ˆ์Šค ๊ฐ์†Œ โ†’ ์ง‘์ค‘๋ ฅ ๊ฐ•ํ™”


์‹คํ—˜์‹ค ์•ˆ์ „ ๊ฐ•ํ™” ์ถฉ๋Œ, ๋ˆ„์ถœ, ๋ฏธ๋„๋Ÿฌ์ง ์‚ฌ๊ณ  ์˜ˆ๋ฐฉ


๋ธŒ๋žœ๋“œ ๊ฐ€์น˜ ์ƒ์Šน ์ฒด๊ณ„์ ์ด๊ณ  ๊ฐ์„ฑ์ ์ธ ๊ณต๊ฐ„์€ ์™ธ๋ถ€ ๋ฐฉ๋ฌธ์ž์—๊ฒŒ๋„ ์‹ ๋ขฐ๊ฐ์„ ์คŒ

์‹ค์ œ ์ ์šฉ ์˜ˆ์‹œ  Example


๋ถ„์„์‹ค: GC-MS โ†’ ์‹œ์•ฝ์ค€๋น„๋Œ€ โ†’ ํ๊ธฐํ•จ ์ˆœ์„œ๋กœ ์ง์„  ๋ฐฐ์น˜ QR์ฝ”๋“œ ๋ผ๋ฒจ๋ง์œผ๋กœ ์‚ฌ์šฉ๋ฒ• + ์˜ˆ์•ฝ ํ˜„ํ™ฉ ํ™•์ธ ๊ฐ€๋Šฅ


๊ณต์šฉ์‹ค: ๋™์„  ์ค‘์‹ฌ์— ์œ„์น˜ํ•˜์—ฌ ์–ด๋–ค ์‹ค์—์„œ๋“  1ํšŒ ์ด๋™์œผ๋กœ ์ ‘๊ทผ ๊ฐ€๋Šฅ


์‹œ์•ฝ์‹ค: ์‹œ์•ฝ ์ž…ยท์ถœ๊ณ  ๋™์„ ๊ณผ ์žฅ๋น„ ์‚ฌ์šฉ ๋™์„  ๋ถ„๋ฆฌ

์ข‹์€ ์‹คํ—˜์‹ค์€, ์‹คํ—˜์ž๊ฐ€ โ€˜์ƒ๊ฐโ€™๋งŒ ํ•˜๋ฉด ๋˜๋Š” ๊ณต๊ฐ„์ž…๋‹ˆ๋‹ค. 

A well-designed lab is one where the researcher only needs to think. 


์ง๊ด€์ ์ธ UX ๊ธฐ๋ฐ˜ ๋™์„  ์„ค๊ณ„๋Š” ๋‹จ์ˆœํ•œ ํšจ์œจ์„ฑ ์ฐจ์›์ด ์•„๋‹ˆ๋ผ, ์—ฐ๊ตฌ์˜ ๋ชฐ์ž…๋„, ์‹คํ—˜์˜ ์ •๋ฐ€๋„, ์—ฐ๊ตฌ์›์˜ ์›ฐ๋น™์„ ํ–ฅ์ƒ์‹œํ‚ค๋Š” ๊ฐ€์žฅ ๊ฐ•๋ ฅํ•œ ์‹คํ—˜์‹ค ๋””์ž์ธ ์ „๋žต์ž…๋‹ˆ๋‹ค.



๋„ค์ด๋ฒ„ ๋ธ”๋กœ๊ทธ
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