Integrated Crack Monitor

SDLF-G01

Precise crack measurement, intelligent monitoring

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Product Introduction

Integrated Crack Monitor

SDLF-G01

The Integrated Crack Monitor is an intelligent monitoring terminal that leverages cable‑pull displacement sensing and multi‑parameter fusion technology, specifically designed for monitoring surface deformations such as slope cracks and retaining wall fissures. The device incorporates a high‑precision displacement sensor and a triaxial accelerometer/tilt sensor, enabling real-time measurement of crack width changes, wall vibrations, and tilt angles. Data can be transmitted remotely and alarms triggered via LoRa or 4G networks. With a robust structure and straightforward installation, it is well suited for long‑term automated monitoring in harsh outdoor environments.

keyword：

Integrated Crack Monitor

Category：

Environmental Structure Monitoring

PRODUCT FEATURES

Real-time automatic monitoring

By employing a timed‑sampling and trigger‑based reporting mode, continuous, automated, low‑power monitoring of structural crack conditions is achieved.

Three-parameter synchronous acquisition

It can simultaneously monitor crack opening and closing, vibration acceleration, and changes in tilt angle, providing a comprehensive assessment of the structure’s safety condition.

Intelligent filtering for stable data

By applying Kalman filtering, environmental interference is effectively suppressed, ensuring the accuracy and reliability of the acquired data.

Multi-mode communication compatibility

Supports multiple communication modes, including 4G and LoRa self‑organizing networks, to meet the deployment requirements of various scenarios.

Remote Operations and Maintenance Management

Supports remote configuration of device parameters, over-the-air firmware updates, and real-time monitoring of device operating status.

TECHNICAL SPECIFICATIONS

Technical Name Technical Specifications
Displacement measurement range 0–2000 mm (0–5000 mm optional)
Displacement measurement direction Two-way
Nonlinearity ≤0.2%FS
Resolution ≤0.02%FS
Total error ≤0.2%FS
Repeatability ≤0.2%FS
Inclination measurement accuracy 0.05°
Inclination measurement range ±90°
Acceleration range ±2g
Acceleration accuracy 0.1%FS
Azimuth Measurement 0~360°
Communication method 4G/NB-IoT/LoRa
Power supply method Built-in lithium‑ion battery
Operating temperature -30℃ — +70℃
Storage temperature -40℃ — +85℃
Humidity 95% RH, non-condensing conditions

APPLICATION FIELD

Railways are hailed as the bridge that propels a nation toward modernization and represent an indispensable pathway for developing a modern transportation system. As China enters a critical phase of economic development, the railway network plays an exceptionally vital role in driving economic growth, improving people’s livelihoods, and supporting national defense. Rail travel offers a remarkably fast and convenient mode of transportation; accordingly, the effective monitoring of railway infrastructure—particularly slope stability—has become a pressing priority.

Monitoring and Early Warning Solution for Geological Hazards and Structural Safety Along Railway Lines

The smart port monitoring solution covers multiple aspects, including port equipment, cargo handling processes, yard safety, personnel operating procedures, environmental changes, port operational efficiency, and energy consumption. By collecting and analyzing data in real time, the system can promptly identify and address issues, thereby ensuring stable, safe, and efficient port operations. At the same time, monitoring and optimizing energy consumption helps ports reduce energy use and improve energy efficiency.

Smart Port Solution

The highway slope monitoring and early-warning system is an integrated management platform that combines remote data acquisition, wireless data transmission, data analysis and processing, and disaster early warning and forecasting. By deploying automated terminal monitoring devices, the system conducts real-time monitoring of slope displacement and deformation, stress levels, changes in environmental factors, and groundwater activity, while also establishing safety assessment criteria for highway slopes. The system utilizes 4G, NB-IoT, and LoRa wireless networks to acquire monitoring data in real time. The backend data management platform then performs intelligent analysis and disaster prediction based on these criteria. When monitored data exceed preset warning thresholds, the system automatically triggers an alarm and notifies relevant personnel via the management system’s messaging interface, mobile app, or SMS. With 24-hour, all-round, dynamic monitoring, users can stay informed about highway slope safety at any time and from any location, thereby advancing from manual and automated monitoring to intelligent monitoring. This provides a scientific basis for highway slope disaster prevention and control, reinforcement engineering design, and the timely elimination of safety hazards.

Automated Safety Monitoring and Early Warning Solution for Highway Slopes

Tailings are the solid waste remaining after ore has been extracted from a mine, and their treatment typically involves hydraulic beneficiation, tailings pond impoundment, and other processes. However, if not properly treated and managed, tailings can pose potential risks to the environment and human health. Common causes of tailings dam failures include inadequate design, improper construction and maintenance, extreme weather events, and natural disasters. When a tailings dam is damaged, breaches occur, or leaks develop, large volumes of tailings and process wastewater can be rapidly released, leading to severe contamination and ecological damage to surrounding soils, rivers, lakes, and even residential areas, while also posing immediate threats to human safety. To prevent and mitigate tailings dam accidents and to maximize protection of the environment and public safety, safety monitoring of tailings dams has garnered widespread attention and is now being implemented. By continuously monitoring key parameters such as dam structural stability, hydrological and water-quality conditions, deformation and displacement, and groundwater seepage, it is possible to detect anomalies early and take timely corrective and remedial actions. Analysis and interpretation of monitoring data enable engineers to assess the safety status of the tailings dam and to develop appropriate management and maintenance plans.

Tailings Pond Monitoring and Early Warning Solution

RELEVANT CASES

Monitoring Project for Retaining Walls at the Guilin GT Factory Dormitory and Nearby Residential Areas

Monitoring Project for Retaining Walls at the Guilin GT Factory Dormitory and Nearby Residential Areas

Xing’an YJ Tailings Dam Automated Safety Monitoring Project

Xing’an YJ Tailings Dam Automated Safety Monitoring Project

Guizhou Land Security Monitoring Project

Guizhou Land Security Monitoring Project

Rail Vehicle Safety Monitoring Project

Rail Vehicle Safety Monitoring Project

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Contact Information

0773-5682099

13677730170

18878322077

market@spepc.com

6th Floor, Building 10, Entrepreneurship Industrial Park, Chaoyang Township, Qixing District, Guilin City, Guangxi Zhuang Autonomous Region

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