SLVAFN0 august   2023 MSPM0L1306 , MSPM0L1343 , MSPM0L1346 , TPS8802

 

  1.   1
  2.   Abstract
  3.   Trademarks
  4. 1Introduction
  5. 2Demo Hardware
  6. 3Demo Software
    1. 3.1 Dual-Ray Measurements and Alarm Detection
    2. 3.2 Additional Demo Functionality
  7. 4Demo GUI
  8. 5Test Results
  9. 6Summary
  10. 7References

Introduction

The latest changes to the UL217 standard (eighth and ninth editions) mandate that smoke alarms have the ability to distinguish between smoke from real fire and smoke from nuisance sources such as cooking, steam from showers, and so on. Smoke from these nuisance sources tend to contain particles sizes much smaller than those found in sources from real fires. However, flaming polyurethane is an exception, where the particle sizes in this type of smoke consists of sizes in the upper range as those found in nuisance sources. This causes a change to the typical single wavelength, threshold-based detection algorithms for reliable smoke detection and reduced false alarms.

Two prevalent photoelectric sensing techniques that are used for particle size estimates and smoke type determination are LED wavelength and scattering angles. The signal response of light scattering configurations in smoke detection follow Mie scattering physics. It follows that LED’s with low wavelength, such as blue, allow for increased signal response and therefore higher signal-to-noise ratio (SNR) for sensing smaller particle sizes typically found in nuisance sources. In order to detect particle sizes in the range of 50nm average diameter to approximately 1µm or larger average diameter, it is advantageous to use LED’s with different wavelengths to cover the range of particles sizes expected, typically IR and Blue. Measurement of the scattering response at different scattering angles, such as back scatter (scattering angle <90°) and forward scatter (scattering angle >100°), allows the estimation of particle size. These two techniques together allow for a robust, multi-criteria approach to distinguish between real sources of smoke and nuisance sources.

A solution that includes the necessary hardware for distinguishing between real sources of smoke and nuisance sources is shown in Figure 1-1. The two LED drivers allow for use of LED’s with different wavelengths as well as different scattering angles depending on the optical chamber design.

GUID-20230724-SS0I-1W6H-CRBQ-ZPLHVK20LSDZ-low.svg Figure 1-1 TPS8802 + MSPM0 Demo Hardware Block Diagram

The optical chamber used in this design is configured for forward scattering measurements of both LED’s with a single broad-spectrum photo diode (PD). However, the TPS8802 PCB accommodates different optical chamber designs so that different combinations scattering angles and wavelengths can be used with the same hardware.

While set up for demo purposes, the hardware is intended to show the capabilities of TPS8802 together with the MSPM0 micro controllers. As such, the firmware and GUI for this demo does not include the use of the discrete back scatter photo diode channel shown in Figure 1-1. However, these can both be customized for more advanced sensing and algorithm implementations.

In addition to smoke detection, the TPS8802 AFE includes circuitry for sensing Carbon Monoxide (CO) which is necessary for combination detectors required in residential installations or can be used as part of a multi-criteria smoke sensing algorithm together with the photoelectric sensing.