TIDUF52 December   2023 MSPM0L1303 , MSPM0L1304 , MSPM0L1305 , MSPM0L1306 , MSPM0L1343 , MSPM0L1344 , MSPM0L1345 , MSPM0L1346

 

  1.   1
  2.   Description
  3.   Resources
  4.   Features
  5.   Applications
  6.   6
  7. 1System Description
    1. 1.1 Key System Specifications
  8. 2System Overview
    1. 2.1 Block Diagram
    2. 2.2 Design Considerations
      1. 2.2.1 Photoelectric Smoke Detector Background – DC-Based Signal Chain
      2. 2.2.2 Modulation-Based Smoke Detection Signal Chain
      3. 2.2.3 Optical Sensing AFE Design
        1. 2.2.3.1 TIA
        2. 2.2.3.2 BPF
        3. 2.2.3.3 Demodulator and Integrator
        4. 2.2.3.4 LED Driver
      4. 2.2.4 Optical and Mechanical Design
    3. 2.3 Highlighted Products
      1. 2.3.1 MSPM0L1306
      2. 2.3.2 TLV9062S
      3. 2.3.3 TPS7A24
      4. 2.3.4 TS5A623157
      5. 2.3.5 SN74LVC1G66
      6. 2.3.6 HDC2010
  9. 3Hardware, Software, Testing Requirements, and Test Results
    1. 3.1 Hardware Requirements
      1. 3.1.1 Power
      2. 3.1.2 Communication Interface
      3. 3.1.3 Headers
    2. 3.2 Software Requirements
      1. 3.2.1 Getting Started Firmware
      2. 3.2.2 Measurements and Smoke Detection
      3. 3.2.3 Additional Demonstration Functionality
      4. 3.2.4 Smoke Detector GUI
    3. 3.3 Test Setup
      1. 3.3.1 UL217 Smoke Box and Fire Testing Setup
      2. 3.3.2 Ambient Light Testing Setup
      3. 3.3.3 Air-Quality Sensing Test Setup
    4. 3.4 Test Results
      1. 3.4.1 UL217 Testing Results
      2. 3.4.2 Ambient Light Testing Results
      3. 3.4.3 Air-Quality Sensing Test Results
      4. 3.4.4 Power Testing Results
      5. 3.4.5 Fire Room Smoke Testing
  10. 4Design and Documentation Support
    1. 4.1 Design Files
      1. 4.1.1 Schematics
      2. 4.1.2 BOM
      3. 4.1.3 CAD Files
    2. 4.2 Tools and Software
    3. 4.3 Documentation Support
    4. 4.4 Support Resources
    5. 4.5 Trademarks
  11. 5About the Author

3.4.3 Air-Quality Sensing Test Results

This section shows the air-quality test results of the smoke sensing module with respect to the reference. Figure 3-16 shows the real-time averaged particle size reading of the smoke sensing module along with the reference. Within the averaged particle size range of 0.4 µm to 1.4 µm, the smoke sensing module shows a ±0.1-µm accuracy with respect to the laser-based reference.

Figure 3-17 shows the real-time mass concentration (PM4) reading comparison of the smoke sensing module and the reference (y-axis MC 4p0 = Mass Concentration PM4). From the 2000 µg/m3 to 30000 µg/m3 measurement range, the smoke sensing module can achieve ±30% relative measurement accuracy with respect to the reference. Some of this error can be attributed to the difference in placement of the smoke-sensing module and the reference in a chamber that is not exactly uniform. It is estimated that the real error level achievable is approximately ±20%. Note that the lower bound measurement error is mainly limited to the quantization noise of the system. Enabling a higher signal chain gain, this limitation can be reduced.

GUID-20231020-SS0I-Q73B-WXZS-VQXVS5ZXS449-low.png Figure 3-16 Real-Time Averaged Particle Size Measurement Comparison
GUID-20231020-SS0I-LKXX-LKRR-N3RN4FSQNRP7-low.png Figure 3-17 Real-Time Mass Concentration Measurement Comparison