Analog DevicesEVAL-CN0537-ALGOEntwicklungssätze und Werkzeuge

The CN0537 suite of products, from Analog Devices, offers developers a portfolio of solutions and services which can help users learn quickly and fast-track products to market. Customers can configure their kit based on their relative level of experience with smoke detection design.

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 (EVALCN0537-ALGO) package includes everything in the Data package and a UL certified smoke detection algorithm with associated algorithm project files.

 

Solution Option	Description	Includes
Hardware  EVAL-CN0537-ARDZ  EVAL-ADICUP-3029	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 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 • UL217 Test Datasets User Guide • MATLAB/Python User Guides  Support • 10 Hrs of Phone Support

 

 

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 high performance ADPD188BI integrated optical smoke sensor module (with dual wavelength LEDs, PD and AFE) along with the optimized Accumold 28800X smoke chamber 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.