Preventive maintenance decision-making
Establish an orbital state evolution model through continuous
detection
Accurately predict progressive diseases such as rail wave wear and
loose fasteners
Guide the forward deployment of maintenance resources
Optimization of the major overhaul plan
Provide precise starting and ending point positioning for major
line overhauls
Calculate the optimal starting dose based on the measured data
Avoid overmaintenance or undermaintenance
Quality acceptance evaluation
Conduct acceptance inspection on new lines after construction or
major overhauls
Automatically generate assessment reports that comply with industry
standards
Establish a digital file of the initial line status
Long-term performance monitoring
Construct the quarterly/annual track status change curve
Analyze the geometric deformation laws of the track under different
load conditions
Provide data support for the optimization of the track structure
