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Á¦¸ñ Better Smoke Detection Solutions from ADI
ÀÛ¼ºÀÚ analogworld1
ÀÛ¼ºÀÏÀÚ 2021-02-09

Smoke Detector Reference Design


► The hardware (EVAL-CN0537-ARDZ) is for prototyping and solution evaluation.

A tested and verified UL 217 smoke detection algorithm is embedded as part of the installer for evaluation.


► The data (EVAL-CN0537-DATA) package provides an extensive number (1000+) of smoke datasets taken at UL 217 certified facilities for those who wish to develop their own algorithm.

It includes the CN-0537 source code for initialization, calibration, environmental compensation, and data preprocessing—but excludes the detection algorithm.


► The algorithm (EVAL-CN0537-ALGO) package includes everything in the data package and adds a UL certified smoke detection algorithm and associated algorithm project files.

 

Optical Module for Smoke Detection


► Supports UL 217 8th edition/UL 268 7th edition, EN 54; GB; ISO

• Lowers nuisance alarms using dual wavelength detection with higher SNR and dynamic range


► On-chip calibration reduces end of line calibration requirements


► Ultra low power (25 ¥ìW average in a four pulse configuration) dissipation enables smaller/cheaper batteries

 

► Space-saving integrated module (3.8 mm ¡¿ 5 mm ¡¿ 0.9 mm) with one blue LED, one IR LED, two photodiodes, and an AFE

• Enables more industrial design options

• Simplifies EMC design


👉 Circuit note »ìÆìº¸±â : https://www.analog.com/media/en/reference-design-documentation/reference-designs/cn0537.pdf?ADICID=EMAL_WW_P292374_ADO-NPI-NU_789&deliveryName=DM11320


👉 Eval Board »ìÆìº¸±â : https://www.analog.com/en/design-center/reference-designs/circuits-from-the-lab/cn0537.html?ADICID=EMAL_WW_P292374_ADO-NPI-NU_789&deliveryName=DM11320#rd-sampleproducts


👉 Data sheet »ìÆìº¸±â : https://www.analog.com/media/en/technical-documentation/data-sheets/adpd188bi.pdf?ADICID=EMAL_WW_P292374_ADO-NPI-NU_789&deliveryName=DM11320


👉 Sample Product »ìÆìº¸±â : https://t.info.analog.com/r/?id=he8f754%2C1992579%2C1992589&s=0FS_vNpgkGA4EEefSBm0Yh0AWWvjm4mNe3gLzVg8sCE




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