Overview

Features and Benefits

This reference design plus related software is designed and tested to meet UL-217 8th edition and similar smoke/fire detection standards. To address the needs of different customers a number of solution offerings are available which are summarized in the table below. The hardware is Arduino form factor compatible and is designed to accelerate prototyping and the evaluation of the embedded smoke detection algorithm. The hardware is compromised of the EVAL-CN0537-ARDZ reference design which is described the CN0537 circuit note and the supporting EVAL-ADICUP3029 microcontroller board. The Data (EVAL-CNO537-DATA) package provides an extensive smoke dataset taken at UL-217 certified facilities for those who wish to develop their own algorithm and the CN0537 source code - excluding the detection algorithm. The Algorithm (EVAL-CN0537-ALGO) package includes everything in the Data package and a UL certified smoke detection algorithm with associated algorithm project files.

Solution Options Description Includes
Hardware
EVAL-CN0537-ARDZ
EVAL-ADICUP3029
Smoke detector reference design hardware for prototyping and solution evaluation.
A tested and verified UL-217 smoke detection algorithm is embedded as part of the installer for evaluation.
Hardware
  • Smoke Detector (CN0537) Reference Design
  • Microcontroller Development Board (ADICUP3029)
Software
  • UL-217 Embedded SW Executable (.hex)
  • ADPD188BI no-OS driver
Documentation
  • CN0537 Circuit Note
  • CN0537 Hardware User Guide
  • Tested and verified UL-217 Test Result
Data
EVAL-CN0537-DATA

CN0537 Source Code (excl. detection algorithm) plus over 1000+ sample fire/smoke datasets taken at certified UL-217 facilities for algorithm development.

Data
  • UL-217 Test Datasets Files
Software
  • CN0537 Source Code (excl. detection algorithm)
Documentation
  • UL-217 Test Datasets User Guide
Algorithm
EVAL-CN0537-ALGO
Full source code and UL-217 8th edition tested and verified algorithm, associated project files, CN0537 source code and over 1000+ sample fire/smoke datasets to accelerate system development. Software
  • CN0537 Source Code including UL-217 8th Ed. Detection Algorithm (.c)
  • MATLAB & Python UL-217 Algorithm Projects
Data
  • UL-217 Test Datasets Files
Documentation
  • UL-217 Algorithm Documentation
  • UL-217 Test Datasets User Guide
  • MATLAB/Python User Guide
Support
  • 10 Hrs of phone support

Product Details

UL-217 8th edition certified algorithm was developed and passed the smoke/fire tests outlined in the standard. This algorithm will enable you to design your smoke detector applications faster and with more confidence, with the updated standards. Collecting more than 1000 sensor datasets at certified testing facilities provided a large statistical representation which the algorithm was trained and tuned. The accompanying embedded software initializes, calibrates, temperature compensates, pre-processes data, and implements the algorithm engine.

The EVAL-CN0537-ARDZ uses the ADPD188BI integrated optical sensor (with LED and PD) along with an optimized smoke chamber design to sense and measure smoke particles using a single calibrated device. The hardware design also can handle environmental nuisances, like humidity/dew, using heater resistors to dry the air inside the smoke chamber. The hardware is an Arduino form factor design and can be use used directly with many different microcontrollers, which provides features such as a buzzer, push button, LED indicator, and micro SD slot for storing data.

The CN0537 reference design includes a complete data and software offering designed to accelerate smoke/fire detection application development.

The Data (EVAL-CNO537-DATA) package provides an extensive (1000+) smoke dataset taken at UL-217 certified facilities for those who wish to develop their own algorithm. It includes the CN0537 source code for initialization, calibration, environmental compensation, data pre-processing - 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.

Markets & Technology

Compatible Parts

Downloads And Related Software

Design Tools

Python

Python is a high-level open language with a massive library of data analysis packages for statistics, machine learning, signal processing, and many more.

MATLAB

MATLAB by MathWorks® is an advanced data analysis and algorithm development environment for data scientists and engineers.

Software Development Tools

CrossCore® Embedded Studio

CrossCore Embedded Studio is a world-class integrated development environment (IDE) for the ADI Blackfin®, SHARC® and Arm® processor families.

Performance Metrics

UL-217 8th Ed. Testing Results (using EVAL-CN0537-ALGO with the EVAL-CN0537-ARDZ and EVAL-ADICUP3029)

TEST UL 217 8th Result
Directionality 43 Pass
Sensitivity 42 Pass
UL – Paper Fire 51.2 Pass
UL – Wood Fire 51.3 Pass
UL – Flaming polyurethane Foam Test 51.4 Pass
UL – Smoldering Smoke Test 52 Pass
UL – Smoldering Polyurethane Foam Test 53 Pass
UL – Cooking Nuisance Smoke Test 54 Pass
UL - Go/No Go Flaming Polyurethane Foam Test 54 Pass
Velocity-Sensitivity Test 44 Pass
Variable Ambient (0 & 49c) 62 Pass
Humidity 63 Pass

Related Hardware (2)

Development Platform

Reference Designs

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