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  • The system is a cracknet software based on artificial intelligence deep learning and large-scale parallel processing. It has automatic disease detection function. It is the only intelligent pavement damage detection technology based on large-scale deep learning technology put into use in the world. At present, the user regions include the United States, Brazil, South Africa, Japan and China.
  • Using the Internet of things and cloud technology, sensors and IOT system are installed and deployed in the key positions of the bridge to sense the changes of important parameters of the bridge, and the analysis and overall evaluation of monitoring data are realized through the cloud health monitoring system software.
Main business Security technology On site inspection
On site inspection
2020.12. 01
1. Static load test of foundation pile: pile integrity detection: low strain, high strain, acoustic transmission method Detection of pore forming quality (hole diameter, hole depth, verticality, etc.) anchor (cable) rod testing: bearing capacity, anchor quality non-destructive testing, soft foundation (foundation pit) monitoring measurement: surface settlement, layered settlement, horizontal displacement, deep horizontal displacement, pore water pressure, earth pressure, groundwater level
2. Concrete structure entity detection (geometric dimension, protective layer thickness, reinforcement configuration, etc.) concrete strength, concrete apparent and internal defects, concrete carbonation depth, reinforcement corrosion potential, concrete resistivity, concrete chloride ion content, component inclination, deformation, deflection and crack
3. Nondestructive testing of weld quality of steel structure: ultrasonic method X-ray method, magnetic powder method, penetration method, visual method: coating thickness, fireproof coating thickness, coating adhesion, component geometry size, final tightening torque of high-strength bolt connection pair