Surface Systems & Instruments, Inc.

SSI Validation Engine

At a Glance

SSI’s Validation Engine software is designed to both monitor profiling system health and conduct advanced comparisons of multiple same surface profiles. Key features of Validation Engine are:

  • Verify proper profiler functionality by viewing and comparing raw individual sensor data 
  • Quickly diagnose failing or marginal sensors (laser, accelerometer, slope, GPS)
  • Compare multiple same surface profiles for repeatability and cross-correlation
  • Import reference profile data (ERD/PPF) to evaluate equipment accuracy (facilities self-certification under standards including AASHTO R056, Standard Practice for Certification of Inertial Profiling Systems)
  • Configurable cut-offs for wavebands (IRI, long, medium, short) to compare device performance across wavebands of interest
  • Compare computed ride values, percentage differences and standard deviation
  • Zoom and pan over detailed graphs of multiple profile traces
  • Apply global filters and edit profile data
  • Power spectral density plots display simultaneously for multiple profiles 
  • Use PSD comparisons to investigate recurring trends in profile data
  • Visualization of GPS content and quality throughout profile data files

 

Figure 9 shows a comparison of 16 individual profile traces for an accuracy comparison versus a reference profiling device.

Figure9

Figure 9—Sample View of SSI Validation Engine with Multiple Profile Comparison for Repeatability

 

Validation Engine’s raw sensor display can quickly identify failing sensors on inertial profiling systems. Figure 10 shows a comparison of raw accelerometer data for a three track inertial profiling system using SSI Validation Engine software. Similar comparisons are supported for lasers, cross-slope and combined laser/accelerometer sensor content.

Figure10

Figure 10—Sample View of SSI Validation Engine Raw Sensor Data Display (accelerometer view)

 

Power Spectral Density (PSD) plots are useful in assessing frequencies or energy composition with profile data. PSD analysis can reveal filters applied to the profile data, recurring features along the pavement (e.g. 15’ joints on a PCC pavement) and more. Figure 10 shows a PSD comparison using Validation Engine. Five inertial profiling system data collections on the same surface are compared.

Figure11

Figure 11—Power Spectral Density Comparison of Multiple Profiles using SSI Validation Engine

 

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At a Glance

SSI’s Validation Engine software is designed to both monitor profiling system health and conduct advanced comparisons of multiple same surface profiles. Key features of Validation Engine are:

 

Figure 9 shows a comparison of 16 individual profile traces for an accuracy comparison versus a reference profiling device.

Figure9

Figure 9—Sample View of SSI Validation Engine with Multiple Profile Comparison for Repeatability

 

Validation Engine’s raw sensor display can quickly identify failing sensors on inertial profiling systems. Figure 10 shows a comparison of raw accelerometer data for a three track inertial profiling system using SSI Validation Engine software. Similar comparisons are supported for lasers, cross-slope and combined laser/accelerometer sensor content.

Figure10

Figure 10—Sample View of SSI Validation Engine Raw Sensor Data Display (accelerometer view)

 

Power Spectral Density (PSD) plots are useful in assessing frequencies or energy composition with profile data. PSD analysis can reveal filters applied to the profile data, recurring features along the pavement (e.g. 15’ joints on a PCC pavement) and more. Figure 10 shows a PSD comparison using Validation Engine. Five inertial profiling system data collections on the same surface are compared.

Figure11

Figure 11—Power Spectral Density Comparison of Multiple Profiles using SSI Validation Engine