LoRaWAN GPS Tracker with 9-axis accelerometer - LGT92 - 868MHz
Description
The Dragino LoRaWAN GPS Tracker LGT-92 is an open source GPS tracker base on Ultra Low Power STM32L072 MCU and SX1276/1278 LoRa Module.
LGT-92 includes a low power GPS module L70 and 9-axis accelerometer for motion and attitude detection. The power for both of the GPS module and accelerometer can be controlled by MCU to achieve the best energy profile for different applications.
The LoRa wireless technology used in LGT-92 allows the user to send data and reach extremely long ranges at low data-rates.It provides ultra-long range spread spectrum communication and high interference immunity whilst minimising current consumption.It targets professional tracking service.
LGT-92 is powered by 1000mA Li-on battery, user can program the device to work from weeks to months depends on the target use case.
LGT-92 is an open source product, it is based on the STM32Cube HAL drivers and lots of libraries can be found in ST site for rapid development.
Features
LoRaWAN 1.0.3 compliant
Regular/ Real-time GPS tracking
Built-in 9 axis accelerometer
Motion sensing capability
Power Monitoring
Charging clip with USB port
1000mA Li-on Battery power
Tri-color LED, Alarm button
Bands: EU868
AT Commands to change parameters
Applications
Smart Buildings & Home Automation
Logistics and Supply Chain Management
Smart Metering
Smart Agriculture
Smart Cities
Smart Factory
Specification System
STM32L072CZT6
Flash:192KB
RAM:20KB
EEPROM:6KB
GPS, L70R:
Acquisition: 16mA
Tracking: 13mA
Cold Start: <35s
8uA@Backup Mode
Warm Start: <30s
Accuracy: < 2.5m CEP
ReHot Start: <1s
Accelerometer:
MPU9250 9-axis
triple-axis MEMS gyroscope
triple-axis MEMS accelerometer
triple-axis MEMS magnetometer
3.5mA operating current
Power Comsuption:
Sleeping Mode: 77uA
Tracking: max: 38mA
LoRa Transmit: 24 ~ 150mA Documents
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LoRaWAN GPS Tracker with 9-axis accelerometer - LGT92 - 868MHz
This plug-and-play kit with LoRa and AI enables you to digitize the world using LoRaWAN and solve real-world challenges, unlocking the potential of AIoT.