Low-cost Full-scale Digital Twin Modeling
The low-cost full-coverage digital twin system employs independently developed automated scene construction algorithms based on multi-source data fusion and a proprietary 3D graphics engine, enabling rapid deployment of cross-industry digital twin scenarios (airports, toll stations, factories, etc.). Target clients encompass road traffic administration departments, maintenance divisions, as well as factories and institutions requiring digital twin solutions.
All-weather sensing equipment for dynamic traffic elements
All-weather perception of dynamic traffic elements,The system specifically includes 15 types of traffic incident detection (e.g., illegal parking, wrong-way driving, pedestrian presence, debris dispersal) and 7 types of traffic parameter detection (lane-level traffic volume, lane-level average speed, vehicle queue length, vehicle license plates, and axle weight parameters).The intelligent algorithm effectively addresses low detection accuracy issues for dynamic traffic elements under adverse weather conditions (nighttime, rain, snow, fog), as well as detection challenges for 7 traffic parameters including vehicle queue length, license plate recognition, and axle weight measurement. The system provides technological support for traffic management authorities to monitor traffic flow, enhance road safety, and implement dynamic traffic guidance.
High-precision testing equipment for transportation infrastructure (static elements)
The inspection of transportation infrastructure (static elements) includes the detection of subsurface road cavities, slope displacement (speed and direction), pavement surface defects (14 categories such as cracks, unevenness, rutting, and macrotexture depth), and above-ground road assets (18 categories including overpasses, variable message signs, gantries, and road signs), enabling comprehensive acquisition of accurate road health data to provide technical support for decision-making and planning by emergency management departments and road maintenance authorities.
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