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Nexisense Geological Monitoring System: Multi-Source Sensing and Early Warning Integrated Solution
The Nexisense geological monitoring system integrates wireless hydrostatic level gauge, inclinometer, crack meter and high-precision acquisition and transmission equipment. Relying on closed liquid pressure difference, MEMS inclinometer and optical fiber/vibration sensing technology, it realizes real-time online monitoring of terrain settlement, slope displacement and crack expansion. The system has been deployed in multiple national-level geological disaster prevention projects, supporting LoRa self-organizing network, NB-IoT wide-area coverage and 4G remote transmission, and seamlessly integrates with GIS, SCADA and third-party IoT platforms, providing engineering units with a full-chain solution from data acquisition to early warning decision-making.
Current Development Status of the Geological Monitoring Industry
In recent years, China's geological disasters are mainly landslides and collapses. From 2020 to 2021, landslide disasters accounted for more than 40% of the total number of geological disasters in the country, directly threatening the safety of towns, roads, mines and water conservancy facilities. Traditional manual inspection and single-instrument monitoring are difficult to meet the requirements of cross-regional, multi-parameter and real-time performance. The national disaster prevention, mitigation and relief strategy clearly lists geological disaster monitoring equipment as a key direction, driving the industry to upgrade towards intelligence and IoT. It is expected that by 2025, the geological monitoring market size will reach 49.3 billion yuan, with key demand concentrated in early identification of landslide hazards, health monitoring of anti-slide support structures and multi-source data fusion early warning systems.
Nexisense makes full use of integrated monitoring technology and launches a multi-source sensing geological disaster monitoring system, focusing on solving the problem of early identification of geological disaster hazards. Through continuous monitoring of target structures by sensors, it realizes correlation analysis between dynamic factors (precipitation, temperature, ground stress, groundwater level, etc.) and deformation parameters.
Typical Application Scenarios
Landslide and Slope Monitoring Deploy Nexisense wireless inclinometer and hydrostatic level gauge networking on high and steep slopes in southwestern mountainous areas to capture small displacements and settlement rates in real time, and trigger graded early warnings in combination with rainfall data. Typical projects include landslide treatment along a southwestern railway line, where more than 180 devices were deployed and connected to the provincial geological cloud platform. The cumulative settlement data deviation from the design value was controlled within ±0.5 mm, and 3 abnormal sliding surfaces were detected in advance, avoiding the risk of line interruption.
Ground Subsidence and Mine Goaf Monitoring Insertion-type hydrostatic level gauges and crack meters are used for road surfaces above urban subway shield intervals and mine goaf areas to monitor surface settlement basin curves and crack expansion rates. A metro project in a coastal city in East China used the system combined with LoRa gateway to achieve continuous underground monitoring, reducing the frequency of manual leveling measurements by about 80% annually.
Bridge, Tunnel and Infrastructure Deformation Monitoring Surface crack meters and inclinometers are installed on tunnel linings and bridge piers, combined with groundwater level sensors to achieve full life cycle deformation tracking. A large cross-river bridge health monitoring project deployed Nexisense multi-parameter nodes, with data accessed to the owner's BIM platform via MQTT protocol, supporting correlation analysis with wind load and temperature field.
Marine and Hydrogeological Observation Coastal tide protection dikes and reservoir dams deploy tide level and groundwater chemical composition monitoring modules, combined with ground stress sensors to achieve multi-factor coupling early warning.
Selection Guide
Selection needs to comprehensively consider the monitoring object, environmental conditions and data requirements. For landslide slopes, the combination of wireless inclinometer + hydrostatic level gauge is preferred (range ±15°/±30°, resolution 0.001°); for ground subsidence, high-precision hydrostatic level gauge is selected (resolution 0.1 mm); for crack expansion monitoring, crack meter is recommended (range 0-200 mm, resolution 0.01 mm). Transmission method selection: urban areas or areas with good signal prefer NB-IoT or 4G; remote mountainous areas recommend LoRa + gateway self-organizing network. Explosion-proof or corrosive environments need to confirm Ex db IIC T6 Gb certification and Hastelloy material.
For bulk projects, it is recommended to provide on-site geological profile diagrams and early warning threshold requirements to preset factory parameters and alarm logic.
Integration Precautions
Before installation, confirm that the reference point is stable (deep pile or bedrock), and the connecting pipeline has no air bubbles or leaks. Before commissioning, complete liquid filling, zero point calibration and temperature compensation coefficient input. Configure the wireless module with server IP, upload cycle (default 5-60 minutes adjustable) and multi-level alarm thresholds (rate, cumulative value, associated rainfall). The system integration recommends using MQTT over TLS protocol to connect to the platform, supporting API integration with GIS, SCADA and third-party early warning systems. Regularly check the liquid level and sensor drift, and perform on-site wet calibration every 6 months.
OEM Customization and Bulk Supply Advantages
Nexisense supports OEM labeling production and can customize sensor range, connecting pipe material, wireless protocol fields, alarm contact grouping and cloud platform report templates according to the needs of engineering units. Bulk supply provides flexible minimum order quantity, framework agreement price locking, special installation bracket development and on-site debugging support for the first batch of projects. The delivery package includes complete interface documents, SDK examples, calibration certificates and operation and maintenance manuals, helping system integrators efficiently respond to provincial geological disaster monitoring or infrastructure intelligent transformation tender projects.
Frequently Asked Questions (FAQ)
| Question | Answer |
|---|---|
| 1. How does the wireless hydrostatic level gauge accurately reflect the settlement value of the measured point through pressure difference? | Answer: The system takes the reference point as the zero benchmark. The elevation change of the measured point is directly converted into liquid static pressure difference, which is output after sensor conversion. Combined with the temperature compensation algorithm, the elevation change is calculated as the settlement value, with measurement resolution better than 0.1 mm. |
| 2. What is the impact of temperature drift on long-term settlement monitoring accuracy and what are the countermeasures? | Answer: The sensor adopts multi-temperature point compensation technology, controlling the drift within ±0.05 mm/℃ in the range of -20℃ to +60℃. At the same time, the system automatically collects ambient temperature for real-time correction. |
| 3. What is the impact of liquid evaporation on the measurement stability of the closed system? | Answer: With high-sealing connecting pipelines and low-volatility medium design, combined with regular liquid level checks, the error caused by evaporation can be controlled within ±0.2 mm/year, meeting long-term monitoring requirements. |
| 4. How does the system achieve seamless integration with existing GIS or SCADA platforms? | Answer: It supports standard MQTT, Modbus TCP and HTTP protocols, provides JSON data format definitions and SDK sample code. Most projects can complete docking with zero code. |
| 5. How to ensure data upload when the signal is weak at remote geological monitoring points? | Answer: LoRa or NB-IoT modules have built-in signal strength adaptation and cache retransmission mechanisms. In weak signal conditions, the reporting cycle is extended and data is stored locally, and batch retransmission is performed after network recovery. |
| 6. How to uniformly configure parameters and upgrade firmware in multi-point networking projects? | Answer: The cloud platform supports device group management, one-click batch delivery of sampling cycles, alarm thresholds and firmware OTA upgrades, greatly reducing on-site operation and maintenance workload. |
| 7. How to verify the accuracy of settlement measurement during project acceptance? | Answer: It can be verified by combining precise leveling measurement or GNSS comparison tests. The system provides full curve records of original pressure difference, temperature and calculated settlement, and supports third-party testing institutions to issue verification reports. |
| 8. What is the cycle for OEM customized connecting pipeline length and alarm strategy? | Answer: The standard customization cycle is 4-6 weeks. The site pipeline layout diagram and settlement early warning threshold requirements need to be provided. After prototype verification, batch production is carried out to ensure complete matching with the project’s geological conditions. |
Conclusion
The Nexisense geological monitoring system takes multi-source sensing technology as the core, combined with wireless transmission and early warning algorithms, and has verified its reliable value in multiple geological disaster prevention and infrastructure projects. System integrators, geological exploration units and engineering construction enterprises can contact us to obtain detailed technical specification sheets, prototype testing arrangements and project cooperation solutions to jointly build a high-precision geological disaster monitoring and early warning system.
