Buried Liquid Level Monitor
The buried liquid level monitor is mainly applied in the field of smart cities, capable of real-time monitoring of water accumulation in low-lying areas, providing data support for users. It is widely applicable to urban management, municipal roads, residential communities, low-lying areas, underground parking lots, logistics parks, agricultural irrigation areas, tourist attractions, and other scenarios.
System Architecture
The buried liquid level monitor measures ground water accumulation depth through water detection sensors and reports to the cloud server via built-in GPRS/4G/NB-IoT communication methods, providing data support for industry user command decision-making and enhancing urban hydrological monitoring capabilities. Meanwhile, it can transmit data to nearby monitoring hosts via LoRa communication for on-site early warning guidance.
Main Features
Water accumulation detection: Intelligent sensors detect water accumulation status, no data collection when there is no water accumulation
Water level collection: Scheduled water level data collection with a range of up to 1 meter
Intelligent collection: Multiple automatic collection frequencies are controlled, with more frequent collection as the water level increases
Data storage: Stores up to 500,000 data records, with no data loss in case of power outage
Data transmission: Data transmission via LoRa/NB-IoT/4G
Parameter setting: Supports local parameter settings, remote parameter settings, and Bluetooth wireless configuration
Product Features
Unrestricted by on-site terrain and space, the device can be installed at appropriate water accumulation points to collect the most effective data.
The detection end adopts a buried installation, eliminating the need for construction projects such as poles and walls, reducing construction costs.
Intelligent data collection, equipped with a large-capacity lithium battery, ensuring water level data collection is not affected by external disturbances such as vehicles, silt, or waves.
Application Scenarios
