Overview

Description

The US082-FS2012EVZ board enables quick prototyping of the FS2012 mass air flow sensor module in a custom system design. The board provides a standard Pmod™ Type 6A (Extended I2C) connection for the on-board sensor to plug into any desired MCU evaluation kit with a matching connector.

The US082-FS2012EVZ features Pmod connectors on both sides of the board to allow additional Type 6/6A boards to be connected in a daisy-chained solution with multiple sensors on the same MCU Pmod connector. Thanks to the standard connector and software support, the US082-FS2012EVZ is ideal for Renesas’ QuickConnect platform to rapidly create an IoT system.

Features

  • FS2012 sensor sample mounted:
    • Thermo-transfer (calorimetric) principle utilizes MEMS thermocouples to measure flow, which provide excellent signal-to-noise ratio
    • Resistant to surface contamination
    • No cavity to cause clogging
    • Resistant to vibration and pressure shock
    • High-temperature flow housing
  • Standardized Type 6A Pmod connector supports I2C Extended interface
  • Dual connectors allow pass-through signals for daisy-chained solutions

Applications

Documentation

Type Title Date
Manual - Development Tools PDF 402 KB
Datasheet PDF 433 KB
2 items

Design & Development

Software & Tools

Software & Tools

Software title
Software type
Company
Sensor Software Modules for Renesas MCU Platforms
Middleware (FIT module and FSP module) and sample software packages that enable control and data acquisition for Renesas sensor products.
Sensor Renesas
QuickConnect Platform
QuickConnect platform enables fast prototyping by providing compatible hardware and software building blocks.
Software and Hardware Development Tools Renesas
2 items

Lab on the Cloud

Lab on the Cloud

Use our PC-based GUI to instantly start configuring and testing designs in our virtual lab, no physical board needed.

This enables quick prototyping of the FS2012 mass air flow sensor module, where users can control the flow rate and capture the reading and linearity of sensor data.