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工业物联网数据采集系统

Leveraging Internet-of-Things (IoT) technologies becomes powerful tools for efficient and accurate monitoring and analysis of hydrological data, including water levels, sediment levels, and meteorological information.
Artificial intelligence (AI) edge gateway and machine learning mechanisms have become powerful tools for efficient and accurate monitoring and analysis of hydrological data, including water levels, sediment levels, and meteorological information.

产品照片 产品型号 Port Number for Sensor Wireless Support Battery AI Computing
db1b42ac-5e7b-46fc-8d26-4299c9fad28a RN-30-EG01   new-blank.gif Single port NB-IoT
LoRa
Wi-Fi
14400 mAh
Lithium Battery
NVIDIA®
Jetson Orin™
Nano 4GB SOM,
20 TOPS
2a6fc7ca-2dec-40b0-83f4-60c8d5b1f8a3 RN-30-ND01/
02   new-blank.gif
RN-30-ND01:
Single port
RN-30-ND02:
Dual ports
NB-IoT
LoRa
14400 mAh
Lithium Battery
N/A
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