Datasheet ZMOD4410 (Renesas)
Fabricante | Renesas |
Descripción | Gas Sensor Module for TVOC and Indoor Air Quality |
Páginas / Página | 23 / 1 — Gas Sensor Module for TVOC. ZMOD4410. and Indoor Air Quality. Datasheet. … |
Revisión | 20201130 |
Formato / tamaño de archivo | PDF / 1.1 Mb |
Idioma del documento | Inglés |
Gas Sensor Module for TVOC. ZMOD4410. and Indoor Air Quality. Datasheet. Description. Features. Typical Applications
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Gas Sensor Module for TVOC ZMOD4410 and Indoor Air Quality Datasheet Description Features
The ZMOD4410 Gas Sensor Module is designed for detecting total Sensor output based on AI machine learning algorithmic: volatile organic compounds (TVOC), estimating CO2, and • Measurement of total organic compounds (TVOC) monitoring indoor air quality (IAQ) in different smell based use concentrations and indoor air quality (IAQ) cases, including very humid and dusty applications with the possibility of water spray, condensation, or immersion. It is a 12- • Module algorithm estimates carbon dioxide level (eCO2) LGA assembly (3.0 × 3.0 × 0.7 mm) that consists of a gas sense • Algorithm to set a control signal to trigger an external element and a CMOS signal conditioning IC. The module’s sense action based on IAQ and odor change element consists of heater element on a Si-based MEMS structure • Algorithm to discriminate sulfur based odors and a metal oxide (MOx) chemiresistor. The signal conditioner Heater driver and regulation loop for constant resistance, controls the sensor temperatures and measures the MOx minimizing effect of environmental temperature on signal conductivity, which is a function of the gas concentration. The measurement results can be read via an I2C interface with the Customization for mobile, industrial, and consumer user’s microprocessor, which processes the data. applications The provided firmware enables different ZMOD4410 features Internal auto-compensated temperature sensor; not stress sensitive based on traditional and machine learning algorithms with an embedded artificial intel igence (AI). This is used to determine the I2C interface: up to 400kHz TVOC concentration, IAQ rating, and estimated carbon dioxide Built-in nonvolatile memory (NVM) for module-specific data (eCO2) level. Alternatively, depending on the operation mode, the Very low average power consumption down to 1.5mW ZMOD4410 algorithm can discriminate between sulfur-based odors or generate a control signal, which can trigger actions based on Excel ent for low-voltage and low power battery applications total odor levels. With its low operating current consumption in Low No external trimming components required Power Operation Mode, the ZMOD4410 is an excel ent choice for External reset pin (active-LOW) low-voltage and low power battery applications. Built-in nonvolatile Siloxane resistant memory (NVM) stores the module configuration and calibration data. RoHS compliant Supply voltage: 1.7V to 3.6V
Typical Applications
Package: 12-LGA Water and dustproof version available (IP67 certified) Indoor air monitoring Available assembly sizes: Monitor home, office, personal, and bathroom environments for healthy conditions and comfort • 3.0 × 3.0 × 0.7 mm (standard version) • 3.0 × 3.0 × 0.9 mm (for IP67 version) Detect hazardous materials and unhealthy conditions (e.g., fumes from construction materials)
ZMOD4410 Application Circuit
Automation based on indoor ambient air quality (HVAC, air purifiers, thermostats, kitchen hoods, etc.)
VSUPPLY VSS VSS
Power
VDDIO Available Support
Supply
VDDH
ZMOD4410 Evaluation Kit
VDD
Manuals, application notes, blog, and white papers Instructional videos
ZMOD4410
Programming libraries, example codes, and
Gas Sensor Module SDA SCL
Algorithms algorithm support to optimize performance Post-Processing
INT
Third-party certification for compliance with
RES_N
well-accepted international IAQ standards and best available technology for eCO2 © 2020 Renesas Electronics Corporation 1 November 30, 2020 Document Outline 1. Pin Assignments 2. Pin Descriptions 3. Absolute Maximum Ratings 4. Operating Conditions 5. Electrical Characteristics 6. Block Diagram 7. Sensor Module Characteristics 7.1 Gas Sensor Module 8. Gas Sensor Module Operation Modes and Characteristics 8.1 Operation Modes 1–3 8.1.1 Air Quality – UBA Levels 8.1.2 Air Quality – Estimated Carbon Dioxide Correlation (eCO2) 8.2 Operation Mode 4: Odor 8.3 Operation Mode 5: Sulfur based Odor Discrimination 8.4 Conditioning and Stability 8.5 Environmental Temperature and Humidity 8.6 Accuracy and Consistency 9. Assembly Restrictions, Operation, Integration Notes, and Storage 10. Test and Calibration 11. I2C Interface and Data Transmission Protocol 12. Related Websites and Software 13. Glossary 14. Package Outline Drawings 15. Ordering Information 16. Revision History