What sensors are used in a bridge structural health monitoring system?

The bridge structural health monitoring system is an automated monitoring system integrating technologies such as the Internet of Things, sensors, wireless transmission, and cloud computing. By collecting structural and environmental data from key bridge components, the system monitors and analyzes the bridge's operational status and performance in real time. Based on the collected key data, it triggers early warning signals for severe anomalies in special weather conditions, traffic situations, or during bridge operation, providing a basis and guidance for bridge maintenance, repair, and management decisions to ensure the safety of the bridge during operation.

Bridge Monitoring System Composition:

The bridge health monitoring system mainly consists of a sensing layer, a data acquisition layer, a transmission layer, a cloud server, and a human-computer interaction layer. After installing various sensors at key locations on the bridge, the data is connected to the acquisition equipment. The acquisition equipment performs preliminary processing and outputs the data to the cloud server via a 4G/5G wireless network. The cloud server analyzes and processes the data before distributing it to the backend.

1. Data Sensing Layer: Various types of sensors for different monitoring indicators.

2. Data Acquisition Layer: Smart IoT gateway.

3. Data Transmission Layer: Wired/wireless, 4G/5G wireless networking.

4. Cloud Server: Data storage, data analysis, and data forwarding.

5. Backend Processor: Tonggan Cloud Data Management Platform.

Bridge Monitoring Content and Instruments:

In automated solutions for bridge structural health monitoring, the monitoring content mainly focuses on the physical quantities of the bridge, such as stress, strain, temperature, settlement, displacement, load, and tilt. A wide variety of sensors and equipment are available for these monitoring projects, and new, more reliable, accurate, and inexpensive sensors are constantly being developed. Therefore, when selecting sensor equipment, factors such as range, sensitivity, accuracy, and operating environment must be carefully considered.