- Dragino LoRaWAN Microwave Radar Distance Sensor (US915)
- Utilizes Microwave Radar technology for accurate measurements
- Versatile with applications in parking, waste management, and more
- Employs LoRa wireless technology for long-range data transmission
- With 8500 mAh battery designed for prolonged use
The Dragino LoRaWAN Microwave Radar Distance Sensor (US915) is a sophisticated device that utilizes Microwave Radar technology to accurately measure the distance between the sensor and various objects. This technology proves to be highly reliable in environments with condensation or dust, maintaining accurate readings even in the presence of water or thick dust on the sensor’s surface.
The sensor is versatile and can be employed in a variety of scenarios including, but not limited to, horizontal distance measurement, parking management systems, object proximity and presence detection, intelligent waste management systems, robot obstacle avoidance, automatic control, and sewer management.
The sensor employs LoRa wireless technology, which enables the device to transmit data over exceptionally long ranges at low data-rates. This technology offers ultra-long range spread spectrum communication and high interference immunity while keeping current consumption to a minimum. The sensor is powered by an 8500 mAh Li-SOCI2 battery, which is designed for prolonged use.
Each sensor comes pre-loaded with a unique set of keys for LoRaWAN registrations. Once these keys are registered to a local LoRaWAN server, the device will automatically connect upon power on. The sensor boasts features such as LoRaWAN 1.0.3 Class A, ultra-low power consumption, 60 Ghz Microwave Radar for distance detection, a measurement range of 200 ~ 12000 mm, an accuracy of ± (3 mm + S*0.2%), a measurement angle of 25 degrees horizontal and 23 degrees vertical, battery level monitoring, AT Commands for parameter changes, periodic uplink, and an 8500 mAh Battery for long-term use. It is suitable for applications such as horizontal distance measurement, water level detection, grain level detection, and oil level detection.
