Bridge Health Monitoring
CET-DA08/16 Dynamic Signal Acquisition System with 24-bit ADC and 200k Sampling Rate for Bridge Monitoring
High-performance dynamic signal acquisition system featuring 24-bit ADC with >106dB dynamic range and 200k sampling rate per channel. Supports strain gauge, voltage, and current inputs with 32-bit microprocessor for precise bridge monitoring. Compact design enables easy field deployment and expandable channel configuration via cascading.
CET-04/08 Wireless Dynamic Signal Acquisition System with 24-bit ADC and 200k Sampling Rate for Bridge Monitoring
Professional wireless dynamic signal acquisition system featuring 24-bit ADC with 106dB dynamic range and 200k sampling rate per channel. Solar-powered with 4G data transmission for remote bridge monitoring applications. Supports channel expansion via cascading and configurable monitoring cycles for structural health assessment.
CETSV08/16 Static Vibrating String Acquisition System with ±0.1Hz Precision and IP66 Rating for Bridge Monitoring
High-precision 8/16-channel vibrating string acquisition system for structural monitoring applications. Features ±0.1Hz frequency precision, automatic temperature compensation, IP66 protection rating, and offline data storage with automatic upload capabilities. Ideal for bridge, tunnel, and foundation pit monitoring with robust metal construction.
CET-SD2200 Wireless Static Digital Acquisition System with 4G Network and Solar Power for Bridge Health Monitoring
Advanced wireless static digital acquisition system featuring ultra-low power design with μA sleep current, 4G network connectivity, and solar power supply. Designed for long-term outdoor structural health monitoring of bridges, tunnels, and slopes with RS485 sensor interface, large-capacity data storage, and reliable data transmission capabilities.
CET2104/2204 Wireless Static Signal Acquisition System with 4 Analog Channels and 100mA Power Consumption
High-performance wireless static signal acquisition system featuring 4 analog input channels, RS485 interface, and ultra-low power design with μA-level sleep current. Ideal for bridge, tunnel, and geological monitoring with 4G connectivity for real-time data transmission to cloud platforms. Supports vibrating string, voltage, and current signal configurations.
CET-SE23/33 Wireless Static Node with 3-5 Year Battery Life and 4G Connectivity for Bridge Monitoring Systems
High-performance wireless data acquisition node featuring ultra-low power design with 3-5 year battery life, flexible sensor compatibility (vibrating string, strain, voltage, current, IEPE), and reliable 4G connectivity. Ideal for bridge health monitoring, slope stability, and geological disaster prevention applications with remote configuration capabilities.
CET-53 Wireless Inclinometer with 0.005° Precision and 5-Year Battery Life for Bridge Monitoring
Professional wireless inclinometer featuring 0.005° precision measurement, 3-5 year battery life, and three-directional vibration detection. Configurable acquisition frequency and automatic sleep mode make it ideal for long-term bridge health monitoring and structural assessment applications.
CET-DM11 Visual Deflection Meter with 0.1mm Precision and 50Hz Monitoring for Bridge Health Systems
High-precision visual deflection meter featuring 0.1mm displacement accuracy and 50Hz data acquisition for bridge health monitoring. Capable of tracking 20 targets simultaneously across 5-300 meter distances with passive reflective technology. Compact design supports both mains and solar power for flexible deployment in structural assessment applications.
Bridge Load Deflection Integrated Analyzer with Micron-Level Monitoring and 30-200Hz Frequency for Structural Health Assessment
Professional bridge health monitoring system featuring micron-level deflection sensitivity, 30-200Hz operating frequency, and real-time vehicle load analysis. Uses digital piezoelectric sensors with temperature compensation and supports both AC and solar power for comprehensive structural safety assessment and load-deflection correlation modeling.