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Automated monitoring of settlement inclinometer ensures the construction and operation of bridge foundation pits.
Solution
Based on the bridge and the excavation of the foundation pit, we set up monitoring points on the bridge piers and beams. To ensure the smooth progress of the project, we communicated multiple times with the owner to design and optimize the construction plan. We independently developed an automated remote monitoring system for the tilt and settlement of building structures. By installing static level instruments and tilt sensors throughout the bridge, we monitor the settlement and tilt of the main body of the bridge. The monitoring data of settlement and angle is displayed in real-time on the central control computer and mobile phone, providing early warnings for the on-site construction conditions. With the help of intelligent monitoring through sensors, we minimize the safety risks and hidden dangers of bridge construction.
Two GNSS monitoring stations are set up in the bridge section, namely the main span 1/2 monitoring points GNSSA1 and GNSSA1.
The specific layout is shown in the right diagram:
Technical Advantages
The Msensor Sensor Automated Remote Monitoring System for the Tilt and Settlement of Building Structures can accurately and in real-time display the deformation of large bridges. Over the years, it has gained a significant market share and accumulated a wealth of successful experience. This has also promoted the scientific, informational, standardized, and visualized development of large bridge structural health monitoring systems, effectively ensuring the safe operation of large bridges.
System Composition
Sensors:
Tilt sensors, settlement sensors, joint measurement sensors, strain sensors, water level gauges, axial force gauges, inclinometers, and other sensors for large structural foundation pits and dangerous buildings.
Data Transmission Unit DTU:
The DTU wireless data unit sends sensor data to the cloud server at regular intervals via GPRS/3G/4G signals, achieving data collection and transmission from the sensors.
Cloud Server:
Alibaba Cloud server with an independent IP, data is stored on Alibaba Cloud servers (secure, stable, reliable), used for receiving data from the data transmission unit DTU, data storage, and providing data to monitoring personnel across the network.
Server Data Collection System:
Collects and classifies data from various sensors, stores it, and ultimately writes effective data into the Alibaba Cloud server database for query and statistics.
Hardware Module Parameter Configuration System:
Reads and writes commands for various types of sensor expansions, with original code writing and configuration performed by our company's professional software engineers.
Inclination monitoring
X, Y axis, industrial design, small size, low power consumption
Compass heading
X, Y, Z three axis, attitude calculation measurement algorithm
Imu inertial sensor
Three-axis angle, angular velocity, acceleration, magnetic field measurement
Attitude heading reference system
Meet the static, dynamic, high and low temperature of a variety of complex environmental use
Engineering case
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