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ZMOD4410AI2R Datasheet(PDF) 13 Page - Renesas Technology Corp

Part # ZMOD4410AI2R
Description  Gas Sensor Module for TVOC and Indoor Air Quality
PDF  26 Pages
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Manufacturer  RENESAS [Renesas Technology Corp]
Direct Link  http://www.renesas.com
Logo RENESAS - Renesas Technology Corp

ZMOD4410AI2R Datasheet(HTML) 13 Page - Renesas Technology Corp

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ZMOD4410 Datasheet
© 2021 Renesas Electronics Corporation
13
December 17, 2021
8.2 Odor (Relative Measurement)
Operation Mode 4 can be used to control an external device, such as a fan or ventilation system, based on changes in Air Quality.
Renesas provides firmware and algorithms, which allow the ZMOD4410 to learn its environment. The gas sensor module will only respond to
changes in the ambient conditions by detecting changes in the relative ambient TVOC concentration. The sensor module outputs are raw
resistance measurements and an algorithmic calculation of the air quality change, which indicates a total air quality change over time. It is
defined as the following:
Air Quality Change < 1: Improvement of air quality, overall gas concentration is falling
Air Quality Change = 1: No change in air quality
Air Quality Change > 1: Deterioration of air quality, overall gas concentration is rising
In addition, a control state is given, which shows the status of a user-defined threshold. When a user-defined threshold is exceeded, an I/O
control signal (trigger) based on the algorithm output may control an external device. Recommendation: Activate the external device for at least
a few minutes (stop delay time) to ensure air quality improvement and avoid an on-off activation at the threshold limit (hysteresis). Depending
on the application, you may adjust the threshold trigger and stop delay time.
Table 9.
Control Parameters for Odor Operation
Parameter
Conditions
Typical Value
Unit
Learning Time Environment
Typical value valid for sample rate of 2 seconds
60
min
Sensor Module Response Time
Sample rate dependent, typically 1 to 3 samples
5
s
Threshold Trigger
Change of raw sensor module signal; recommended difference: 30%
1.3
–
Stop Delay
Stop delay for external device; defines minimum activation time
2
min
When using the ZMOD4410 Evaluation Kit, the AD5 pin (GPIO) on connector K3 on the ZMOD4410 HiCom Communication Board is the trigger
control signal output that is set to HIGH/LOW for Operation Mode 4. For more information, see the ZMOD4410 Evaluation Kit User Manual.
8.3 Sulfur-based Odor Discrimination
Operation Mode 5 can be used to identify if a sulfur-smelling odor is present. When the target gas families have been defined through analysis,
a sweeping method allows for chemical discrimination. A machine learning embedded artificial intelligence (AI) algorithm makes use of a MOx
surface temperature array to get to a selectivity approach.
This operation mode classifies the odors in “sulfur” (sulfur-based) and “acceptable” (organic based) and shows an intensity level of the smell.
Acceptable odors are, for example, coming from air refreshers, soaps, perfumes etc., while bad smelling sulfur-based odors come from personal
odors in bathrooms. Because impression of smell is very unique, there might be overlaps with how people perceive odors. To bring this in an
algorithm, a highly trained Neural Network is using typical chemical signatures from Hydrogen sulfide (H2S) and Dimethyl sulfide (DMS, C2H6S).
A range of organic sulfur compounds are considered from the low ppb to the ppm range. The typical sample rate is 3 seconds, but the algorithm
may need a few samples for the correct classification.
This sulfur-based odor discrimination firmware was developed based on known commercially available products that represent both bad and
acceptable odors. Other places with unknown chemical signatures can lead to incorrect algorithm results. Training the sensor module and
developing the discrimination for other gases and applications may be considered for future releases.
8.4 Conditioning and Stability
The ZMOD4410 will respond to TVOC immediately upon start-up; however, a conditioning period of 48 hours followed by a sensor module
restart in an ambient environment is recommended to improve stability and obtain maximum performance. This restart can be done either by a
full sensor restart or by reinitializing the sensor algorithms. After a full sensor restart (power down or RES_N pin) the sensor must be
reconfigured.



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