R-PMS System Use Cases : Model . R-PMS System - Q1 : System
Use Case - T03-03 Start loading data from LCMS to RV Workstation link
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Name | Value | ||||||||
Description |
Measuring pavement surfaces really amounts to obtaining two pieces of information about each point on the pavement surface. 1) The intensity (light) from the Lidar 2) The relative elevation (Height) Fortunately, KDOTs equipment manufacturer and integrator does the hard part of turning the height and light of all points into actual pavement condition data. So, the vans are driven over the roads to get the height and light data and then processed to turn that data into standardized XML files and images. To further use this data, the integrator has tools to allow users to view the images and run reports on the data. These tools are primarily in the form of software called Road View Explorer (RVE)
Proposed: Mandli System will automatically conflate the Scanned Network with that input into the System in Mar01 activities from the PMS Operator derived from KHUB |
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Id | UC23 | ||||||||
Abstract | false | ||||||||
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Stereotypes | UseCase, PMS Activity | ||||||||
Business Model | false | ||||||||
Primary Actors | Actor - Mandli RVW | ||||||||
Status | Identify | ||||||||
Rank | Unspecified |
Relationships Summary |
Extension Points |
Name | Value | ||
Name | T03-05 NCV Loading | ||
Sequence Number | -1 |
Use Case Note |
■ Inputs or Prior Activities | |||
• KHS and NHS have been scanned by LCMS | |||
■ Actions | |||
• Load data into Mandli RV Workstation | |||
• Use the Mandli RVE software to generate PMS required reports as XML data files | |||
■ Outputs | |||
• XML data files containing details of scanned data for every 1/200 mile | |||
• Image files from forward image scanner | |||
• Image files from downward LIDAR including intensity (light) and relative elevation (height) |
PMS Current |
Steps | |||
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1.1. takes the LCMS HDD and inserts it into the Mandli Workstation | |||
1.2. operates the Kelly Tool to copy the data from the LCMS HDD | |||
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2.1. Checks that the images are good and data provided about when pavement type changes are at the correct location and provides information about what the surface type is so that the data is processed correctly | |||
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3.1. Converts data into Images | |||
3.2. Converts data into XML files | |||
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R-PMS Desired |
Steps | |||
1. ![]() |
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1.1. takes the LCMS HDD and inserts it into the Mandli Workstation | |||
1.2. operates the Kelly Tool to copy the data from the LCMS HDD | |||
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2.1. Checks that the images are good and data provided about when pavement type changes are at the correct location and provides information about what the surface type is so that the data is processed using the correct type | |||
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3.1. Converts data into Images | |||
3.2. Converts data into XML files | |||
4. Collection EA loads routes into Mandli RVW | |||
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Details |
Name | Value | ||
Level | User | ||
Complexity | |||
Use Case Status | Initial | ||
Implementation Status | Started | ||
Preconditions | Scan system files (7) from Mandli scan system: log, fea, rtf, gps, ... XML files Downward height and length files with and without overlays Forward image files (7) for every 0.005 miles of measured surface (1/200) mile. | ||
Post-conditions | Routes loaded into RVW and generation of PMS required reports | ||
Author | Rick Miller, Jerry W. Manweiler, Ph.D. | ||
Assumptions |
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Level | Ad Hoc Enumeration | Summary | |||
Complexity | Ad Hoc Enumeration | ||||
Use Case Status | Ad Hoc Enumeration | ||||
Preconditions | Multi-line Text | ||||
Post-conditions | Multi-line Text | ||||
Author | Text | ||||
Assumptions | Multi-line Text |
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