Based on the standard LoRaWAN™ protocol The detection rope has a double helix structure, which is highly flexible and not prone to breaking Cable Length : 3 meters (customized is available) Ultra-low power consumption design Powered by a built-in 4000mAh battery.
This rumen bolus sensor, based on LoRaWAN, is designed to collect cows’/beef cattles’ activity, rumen temperature, and movement. The bolus material is environmentally friendly and harmless to the animal.
After insertion, the rumen bolus will automatically transmit data to LoRa base stations and cloud-based platforms, allowing users to access this information at any time, from anywhere.
Measures active energy, voltage, current, active power, power factor, and grid frequency (optional: reactive energy and reactive power). Shows active energy consumption with a clear digital screen. Pulse LED: Indicates energy metering pulses. Power LED: Shows power supply status. Supports wired RS485 networks for remote meter reading and centralized management. Compatible with MODBUS-RTU or DLT645 protocols. Configurable with LoRaWAN/NB-IoT/4G/WiFi modules for flexible IoT connectivity.
Up to 5Km communication range in an open environment; LCD Screen indicates reading, power percentage, allowance, valve, and signal status. Long-lasting battery life of up to 3 years; Capable of saving over 10,000+ historical operation records locally; Compatible with standard LoRaWAN® gateways and third-party network server platforms; Fast connection with HKT LoRaWAN® gateway and cloud platform without additional configuration.
This LoRaWAN smart water meter periodically transmits cumulative flow and battery level data to nearby LoRaWAN gateways, which aggregate and forward the data to the cloud — automating data collection and eliminating manual meter reading. With remote valve control for precise flow regulation, it’s used in agricultural irrigation, smart gardens, and other remote monitoring applications.
Our indoor air quality sensor can measure air conditions and pollutants, including temperature, humidity, light, CO2 concentration, HCHO/O3 level, TVOC, barometric pressure, PM2.5, and PM10.
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