Yageo KEMET USEQFCK4000000, Руководство пользователя

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TO Flame Sensing Evaluation Kit (Analog) USEQFCK4000000
The above information is believed to be correct but does not purport to be all inclusive and must be used only as a guide.
© KEMET
Electronics Corporation • KEMET Tower • One East Broward Boulevard
Fort Lauderdale, FL 33301 USA • 954-766-2800 • www.kemet.com
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3 INSTALLATION
3.1 Installing the KEMET Flame Sensing Evaluation Tool Software
From the software pack available to download here , select the setup.exe file that has this
icon. This will start the installation process.
Figure 2
– Installer Screen
Follow the on screen instructions and enter the information required.
As part of the installation process a check will take place to see if .NET Framework 4.5 is
present. If not, it can be installed as part of the setup routine or alternatively the setup routine
can be cancelled and the .NET framework 4.5
can be downloaded from Microsoft’s website.
The framework can take a while to install but the software requires it.
3.2 Connecting the TO Flame Sensing Evaluation Kit
Connect the power supply provided to the KEMET Flame Detection Demonstrator Kit. Then
connect the USB cable to the kit and Windows PC. You may see a message suggesting you
are required to install a device driver. You can either. Follow the on-screen instructions and
download a driver from Windows Update.
Your kit is now installed and ready to use.
4 SOFTWARE USER GUIDE
The KEMET Flame Sensing Evaluation Tool software runs on Microsoft Windows PCs and
communicates with the Flame Detection Demonstrator Kit USEQFCK4000000, which enables
easy testing of KEMET QFC TO packaged flame sensors. The software provides an interface
to the analog circuits and A-D (Analog to Digital) converter, which are provided by the Silicon
Labs C8051F350. Additional signal processing and analysis algorithms to filter and analyze
sensor output for flame detection are provided. These include a simple flame detection
algorithm using Fast Fourier Transform of sensor signals and threshold level based analysis
of 10 Hz components of these signals.