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ADP151 Datasheet(PDF) 1 Page - Analog Devices |
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ADP151 Datasheet(HTML) 1 Page - Analog Devices |
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1 / 8 page ![]() Circuit Note CN-0537 Circuits from the Lab® reference designs are engineered and tested forquickandeasysystemintegrationtohelpsolve today’sanalog, mixed-signal, and RF design challenges. For more information and/orsupport,visitwww.analog.com/CN0537. Devices Connected/Referenced ADPD188BI Integrated Optical Module for Smoke Detection ADP151 Ultralow Noise, 200 mA, CMOS Linear Regulator LT8410 Ultralow Power Boost Converter with Output Disconnect Multistandard Verified Smoke Detector Solution Rev. A CircuitsfromtheLab®referencedesignsfromAnalogDeviceshavebeendesignedandbuiltby Analog Devices engineers. Standard engineering practices have been employed in the design and construction of each circuit, and their function and performance have been tested and verifiedinalabenvironmentatroomtemperature.However,youaresolelyresponsiblefortesting the circuit and determining its suitability and applicability for your use and application. Accordingly, in no event shall Analog Devices be liable for direct, indirect, special, incidental, consequential or punitive damages due to any cause whatsoever connected to the use of any CircuitsfromtheLabcircuits. (Continuedonlastpage) One Technology Way, P.O. Box 9106, Norwood, MA 02062-9106, U.S.A. Tel: 781.329.4700 www.analog.com Fax: 781.461.3113 ©2020–2021 Analog Devices, Inc. All rights reserved. EVALUATION AND DESIGN SUPPORT Circuit Evaluation Boards CN-0537 Reference Design Board (EVAL-CN0537-ARDZ) ADICUP3029 Arduino Form Factor Development Board (EVAL-ADICUP3029) Design and Integration Files Schematics, Layout Files, Bill of Materials CIRCUIT FUNCTION AND BENEFITS Since the 1970s, smoke detectors have become commonplace in commercial and residential buildings. Two basic types of detectors exist today, the ionization type that uses radioactive matter to ionize the air and checks for an electrical imbalance, and the photoelectric type that uses a light source aimed at an angle away from a photodetector and checks for photodetector current caused by the light reflecting from airborne particles to the photodiode. Although a combination solution of both types is recommended, the photoelectric smoke detector is more popular due to its improved reliability in detecting common house fires and faster response times to smoldering fires. Unfortunately, smoke detector technology and regulations have also remained virtually the same since the 1970s despite the advances in electronics and common household materials through the decades. New revisions in standards, such as ANSI/UL 217 and ANSI/UL 268, published by Underwriters Laboratory (UL), or the NFPA® 72 National Fire Alarm Code, published by the National Fire Protection Agency (NFPA), aim to address this gap by placing more complex requirements on modern smoke detector designs. Other worldwide standards, such as EN 14604, EN 54, and ISO 7240 will likely add similar tests to address this and other concerns in the future, making it more important to have more advanced sensing capabilities. The goal of these updated standards is to increase safety and decrease the number of fire related deaths by reducing the number of false alarms that are generated from everyday activity. For example, in addition to the traditional fire and smoke sensitivity tests, the 8th edition of UL 217 and the 7th edition of UL 268 now requires that smoke detectors do not produce a false alarm during nuisance events, like cooking. Therefore, modern smoke detectors must be able to distinguish between a cooking nuisance event and a fire event. Traditionally, this goal required a complicated solution with multiple sensor technologies and a level of artificial intelligence. However, the use of the ADPD188BI makes this solution significantly more simple to implement. The circuit shown in Figure 1 is a tested and verified smoke detector reference design with an available algorithm and a data set based on the ADPD188BI optical module. For easy and rapid development, the design is made compatible with the Arduino form factor controller platforms. Software and embedded algorithms combined with the hardware can be used to evaluate smoke and fire tests specified in 8th edition of the UL 217 and the 7th edition of the UL 268 standards. Verified algorithms are available for direct use to help deploy the smoke detection solution faster, and additional data can also be collected and added into the algorithm to adapt it for other standards. |
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