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Description
The Environmental Monitoring version of the SparkFun OpenLog Data Collector Kit with Machinechat is an easy way to organize and display your data from an included BME280 Qwiic Atmospheric Sensor with the OpenLog Artemis and JEDI One. The SparkFun OpenLog Artemis (without IMU) is an open source data logger that comes preprogrammed to automatically log GPS / GNSS, serial data, and various pressure, humidity, and distance data as well as the ability to expand out to any number of our Qwiic sensors. This makes it ideal for data collection, and to display that data, Machinechat's JEDI One will be your best friend!
Machinechat's JEDI One provides an easy-to-use, customizable, one stop dashboard solution for IoT data collection, transformation, visualization, and reporting. Built-in HTTP and TCP servers allow you to start collecting data from sensors and devices in minutes, and custom plug-ins allow you to collect data from virtually any sensor or device. In addition, a fully integrated and self-contained MQTT broker makes it easy to integrate any MQTT based device or sensor. No need to set up a separate broker or use Azure or AWS for MQTT. Just configure and go!
The SparkFun BME280 Atmospheric Sensor Breakout is an easy way to measure barometric pressure, humidity, and temperature readings, all without taking up too much space. Basically, you can find out anything you need to know about atmospheric conditions from this tiny breakout. The BME280 Breakout has been designed to be used in indoor/outdoor navigation, weather forecasting, home automation, and even personal health and wellness monitoring.
Simply connect the BME280 Breakout of another compatible Qwiic-enabled device, power up the OpenLog Artemis, and all incoming serial data is automatically recorded to a log file with baud rates up to 500000bps, supported! The OLA also has four ADC channels available on the edge of the board. Voltages up to 2V can be logged with 14-bit precision up to 1900Hz for one channel and 1000Hz logging all four channels. Additionally, based on feedback from users we've added an on-board RTC so that all data can be time stamped.
The OpenLog Artemis is highly configurable over an easy to use serial interface. Simply plug in a USB-C cable and open a terminal at 115200bps. The logging output is automatically streamed to both the terminal and the microSD. Pressing any key will open the configuration menu.
Included in this kit, you will find an OpenLog Artemis (without IMU), a BME280 Qwiic Atmospheric Sensor Breakout, a unique JEDI One license, and connector cables. Additional sensors must be purchased separately. If you are interested in picking up a different version of this kit, be sure to check out the Base Kit or Air Quality Monitoring Kit, instead!
Note: The version of OpenLog Artemis included in this kit has the ICM-20948 IMU sensor removed. This IC is becoming increasingly difficult to locate. This version still supports auto-detection and logging of over a dozen sensors and GNSS receivers.
The SparkFun Qwiic connect system is an ecosystem of I2C sensors, actuators, shields and cables that make prototyping faster and less prone to error. All Qwiic-enabled boards use a common 1mm pitch, 4-pin JST connector. This reduces the amount of required PCB space, and polarized connections mean you can�t hook it up wrong.
Includes:
- 1x SparkFun OpenLog Artemis (without IMU)
- 1x SparkFun Atmospheric Sensor Breakout - BME280 (Qwiic)
- 1x Machinechat Software License Card - JEDI One
- 1x SparkFun Qwiic Cable Kit
- 1x Reversible USB A to C Cable - 0.8m
Features:
SparkFun OpenLog Artemis (without IMU):
- Artemis Module (Cortex-M4F based Apollo3 microcontroller)
- Configurable via CH340E and Artemis Firmware Upload GUI
- Operating voltage range
-
3.3V to 6.5V (via VIN with optional external power switch)
- 5V with USB (via 5V or USB type C)
- 3.6V to 4.2V with LiPo battery (via VBATT or 2-pin JST)
- Built-in MCP73831 single cell LiPo charger
- Minimum 450mA charge rate
- 3.3V (via 3V3)
-
3.3V to 6.5V (via VIN with optional external power switch)
- Current consumption
- ~20mA (Run)
- ~80µA (Sleep)
- ~18µA (Deep Sleep - regulator shut down)
- Ports
- 1x USB type C
- 1x LiPo battery enabled
- 1x Qwiic enabled I2C with power control
- 1x SWD 2x5 header
- 4x Analog-to-digital
- 14-bit, up to 1900Hz, 2V max (3.3V compatible)
- Serial
- Logging speeds up to 500000bps [1]
- 1x microSD socket
- Support for FAT32 and older FAT16 formats up to 32GB with power control
- RTC with 1mAhr battery backup
- LEDs
- Power
- LiPo charge indicator
- Serial Tx and Rx
- Status
SparkFun Atmospheric Sensor Breakout - BME280 (Qwiic):
- Operating Voltage: 1.71V-3.6V (Default on Qwiic System: 3.3V)
- I2C & SPI Interface
- Temperature Range:
- Full Accuracy: 0°C-65°C (32°F-149°F)
- Operational: -40°C-85°C (-40°F-185°F)
- Humidity Range: 0-100% RH
- Pressure Range: 300-1100 hPa (30,000-110,000 Pa or approx. 4.35-15.95 PSI)
- I2C Address: 0x77 (Default) or 0x76
Machinechat Requirements:
- Intel x86 PC or server
- Microsoft Windows 10
- Apple Mac OS 10.13.6 and above
- Ubuntu Linux 16.04 and above
- Memory : 4GB or greater
- Storage : 30MB min of disk space
Documents:
SparkFun OpenLog Artemis (without IMU):
- Schematic
- Eagle Files
- Hookup Guide
- Board Dimensions
- Datasheet (Apollo3)
- Artemis Integration Guide
- Designing with the SparkFun Artemis
- Artemis Development with Arduino
- Arduino Core
- Artemis Forums
- Artemis Info Page
- Qwiic Info Page
- CH340E USB Drivers
-
Artemis Firmware Uploader GUI
- Latest default firmware: v2.2
- Geophone Logger firmware for logging seismic activity
- GNSS Logger for advanced data logging with the uBlox F9 and M9 GNSS modules including support for RAWX and RELPOSNED
- GitHub Hardware Repo
SparkFun Atmospheric Sensor Breakout - BME280 (Qwiic):
- Schematic
- Eagle Files
- Hookup Guide
- Datasheet (BME280)
- SparkFun BME280 Arduino Library
- SparkFun BME280 Python Package
- GitHub Hardware Repo
Machinechat:
Bulk Discount
Quantity | Price |
2 | ₹ 37396.8 |
3-5 | ₹ 37015.2 |
5-10 | ₹ 36252.0 |
10+ | ₹ 35488.8 |
Bulk discount will be automatically applied during checkout based on quantity.