QA/QC: Oklahoma DOT
Transcript of QA/QC: Oklahoma DOT
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QA/QC: Oklahoma DOTQA/QC: Oklahoma DOT2007 National Conference on Pavement Management2007 National Conference on Pavement Management
May 6May 6--9, 2007 9, 2007 -- Norfolk, VANorfolk, VA
Presented by:Presented by:Justin Calvarese, P.E.Justin Calvarese, P.E.
Oklahoma Department of TransportationOklahoma Department of Transportation
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QA/QC: Oklahoma DOTQA/QC: Oklahoma DOT
Justin Calvarese, P.E.Justin Calvarese, P.E.Oklahoma Department of TransportationOklahoma Department of Transportation
Planning & Research DivisionPlanning & Research DivisionPavement Management BranchPavement Management Branch
Special Thanks to:Special Thanks to:
ODOT Pavement Management BranchODOT Pavement Management BranchGinger McGovern, P.E., Pavement Management EngineerGinger McGovern, P.E., Pavement Management EngineerBill Dickinson, Transportation ManagerBill Dickinson, Transportation Manager
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Checking Data QualityChecking Data Quality
1. Why?1. Why?
2. What?2. What?
3. How?3. How?
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Overall QC/QA ProcessOverall QC/QA Process
5. FinalDelivery
2. Coll-ection
1. Pre-collection
PMS Data Collection Cycle
4. PrelimDeliveries
3. VideoChecks
Checking thefinal conditiondatabase
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Bringing it All TogetherBringing it All Together
Review/Discuss
Use Condition Database
Control & Verification Sites
Pre-CollectionDiscussion
Monitor During
Collection
QA Tool
1
23
4
56
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How Did The Process Evolve?How Did The Process Evolve?
Started out with individual queriesStarted out with individual queries
Contract with Contract with APTechAPTech–– Checked distress ratingsChecked distress ratings–– Document processDocument process–– Combine into one process/interfaceCombine into one process/interface
Evolved into QA ToolEvolved into QA Tool
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Why Use A Tool?Why Use A Tool?
Lots of dataLots of data–– 8,000 miles collected every 0.018,000 miles collected every 0.01--miles or miles or
800,000 records annually800,000 records annually
65 data fields65 data fields–– 10 supplied by ODOT in shell10 supplied by ODOT in shell–– 55 collected by contractor55 collected by contractor
800,000 x 65 = 800,000 x 65 = 52 million52 million pieces of pieces of data annually!data annually!
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The QA Tool The QA Tool -- What Is It?What Is It?1.1. QA ToolQA Tool
–– An interface/programAn interface/program
2.2. Condition DatabaseCondition Database–– Shell filled in by the contractor Shell filled in by the contractor
3.3. QA DatabaseQA Database–– ODOTODOT--Inventory tablesInventory tables–– Utility tablesUtility tables–– Tables for tracking resultsTables for tracking results
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How Does It Work?How Does It Work?
1. QA Tool
2. PMSConditionDatabase
3. QA DatabaseInventory TablesUtilities Tables
Tracking Tables
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QA Tool QA Tool –– The InterfaceThe Interface
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QA DatabaseQA Database
All_SectionsAll_Sections–– Section lengthsSection lengths–– Section IDsSection IDs
BegSectionGPSBegSectionGPS–– Coordinates of each Coordinates of each
beginning pointbeginning point
Misc_QCDataMisc_QCData–– Number of bridges in Number of bridges in
each sectioneach section
Rail_CrossingsRail_Crossings–– Location of each RR Location of each RR
crossingcrossing
ODOT Tables
ODOT Tables
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QA DatabaseQA Database
Data Types TableData Types Table–– What is the field What is the field
supposed to be?supposed to be?GlobalDatabaseInfoGlobalDatabaseInfo–– Stores links to the Stores links to the
QA ToolQA ToolRangeInputsRangeInputs–– Expected highs and Expected highs and
lows for sensor and lows for sensor and distress datadistress data
Utilities Tables
Utilities Tables
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QA DatabaseQA Database
Ignored ValuesIgnored Values–– We investigated and We investigated and
want to ignore an want to ignore an errorerror
Summary TableSummary Table–– What has passed the What has passed the
checks and what checks and what hasnhasn’’tt
Tracking Tables
Tracking Tables
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Simplified Work FlowSimplified Work Flow
1.1. Divide up database Divide up database –– By field divisionsBy field divisions–– More manageable sizeMore manageable size–– Easier to keep track Easier to keep track
2.2. Set up the QA Tool (link the tables)Set up the QA Tool (link the tables)
3.3. Do the ChecksDo the Checks
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QA Tool Detail ProcessQA Tool Detail Process
SetupSetup CheckCheck SummarizeSummarize
• Divide Condition DB
• Establish Links
• Create Ignored and Summary Tables
• Preliminary Checks
• Sensor Checks
• Distress Checks
• Misc Checks
• Resolve Data Problems
• Summarize Results in QC/QA Report
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QA Tool QA Tool –– Getting StartedGetting Started
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Set Up Database LinksSet Up Database Links
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QA Tool QA Tool –– Start The ChecksStart The Checks
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Preliminary ChecksPreliminary Checks
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ODOTODOT--Supplied FieldsSupplied Fields
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Preliminary ChecksPreliminary Checks
Where are we?
What kind of pavement is it?
Most Critical
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Check Beginning PointCheck Beginning Point
Start with locationStart with location–– Check their beginning GPS vs. oursCheck their beginning GPS vs. ours–– Flag if off by more than 0.05 miFlag if off by more than 0.05 mi
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What Type of Pavement?What Type of Pavement?
Check Surface (theirs) vs. Pavetype Check Surface (theirs) vs. Pavetype (ours)(ours)–– Resolve discrepancies with videoResolve discrepancies with video
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QA Tool QA Tool –– Run Sensor ChecksRun Sensor Checks
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Sensor Data ChecksSensor Data Checks
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Sensor Data ChecksSensor Data Checks
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Distress Data ChecksDistress Data Checks
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Distress Data ChecksDistress Data Checks
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WhatWhat’’s for the Future?s for the Future?
Based on aggregated dataSum/Average to PMS sections
Year to Year ComparisonWhat is the expected change in values for two years
Check one side against the other on divided highways
Logic Checkse.g., If IRI>120 we should see some type of cracking
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Questions?Questions?Contact InfoContact InfoJustin Calvarese, P.E.Justin Calvarese, P.E.Oklahoma DOTOklahoma DOTPlanning & Research DivisionPlanning & Research DivisionPavement Management BranchPavement Management BranchEmail: Email: [email protected]@odot.orgPhone: (405) 522Phone: (405) 522--67146714