Hands-on Exercise. All samples files are installed to the following folders depending on the OS:

Transcription

1 Hands-on Exercise All samples files are installed to the following folders depending on the OS: Windows XP - C:\Documents and Settings\All Users\Shared Documents\Veta 4 Samples Windows 7+ - C:\Users\Public\Public Documents\Veta 4 Samples

2 Session 3 Hands-On Exercise (Part 1: Intelligent Compaction Method) 3.1 Example Project Files The case study files are located in the following directories: Windows 7+: C:\Users\Public\Public Documents\Veta 4 Samples\3-Trimble-MOBA-MN-TH78_HMA Windows XP: C:\Documents and Settings\All Users\Shared Documents \Veta 4 Samples\3-Trimble-MOBA- MN-TH78_HMA 3.2 Learning Objectives Manage and analyze the entire project Import asphalt IC data from Trimble IC retrofit systems on 3 rollers Import alignment file Create filter groups, operation filters and override filters Input spot test data Perform extensive analysis 3.3 Project Information The rollers were instrumented with the Trimble Retrofit system on this example project. Please note, that the photos included below are not actual photos from the project. Session 3, Page 1

3 Trimble Retrofit system CB634D PS360C Site TH-78, MN (dummy project highway) Project MnDOT SP TH-78 (dummy project no.) Test Bed 3 lifts on EB and WB Date Paving 9/4/2015 through 9/15/2015 Manufacturer Trimble Retrofit System (IC) Machines 3 retrofitted rollers with Trimble IC Retrofit Systems (CB634D CDF00529, CB634D CDF00461, PS360C PFJ004429) Material Type HMA Coordinate system MN County - Roseau Session 3, Page 2

4 Data Files IC Data (SP TH78 IC.vetaproj) consists of the following IC measurement pass files that have already been imported: SP TH78 HMA csv SP TH78 HMA csv SP TH78 HMA csv SP TH78 HMA csv SP TH78 HMA csv Alignment file: SP TH78 Alignment.kmz Filter Settings: 04 SP TH78 IC-PMTP Filters v03.pdf Spot test data: SP TH78 Cores.xlsx 3.4 Open Sample Project The IC Veta project file is located in the Veta 4 samples folder. For ease in class, a shortcut to the sample folder has already been created and is located on the computer desktop. Open the sample folder and navigate to the director and file name in bold below: C:\Users\Public\Public Documents\Veta 4 Samples\3-Trimble-MOBA-MN-TH78_HMA\ SP TH78 IC.vetaproj. 3.5 View Intelligent Compaction Data Maps Select Viewer on the top toolbar to view maps of the IC data. Session 3, Page 3

5 3.5.2 Select Final Coverage on the right panel of the Viewer screen to view the gridded final coverage data (see S-xx.1.A.7, pg. SP-1, for definition) Select the Data drop down menu to view maps of different measurements collected by the intelligent compaction system (e.g., ICMV [stiffness], Frequency, Amplitude, Pass Counts, Roller Speed, and Temperature). Session 3, Page 4

6 3.5.4 Right click on legend and select customize to change the color palette for Pass Count so that it includes only 3 different colors: 1, 2, and 3+. The rolling train for this project consisted of three (3) rollers. Roller coverage is achieved when the cumulative measurement pass count is greater than or equal to one (1) times the number of instrumented rollers used for the given lot. Instrumented rollers working in tandem are counted as one instrumented roller. (See S-xx.3.L.1, pg. SP-11). Therefore, set the pass count legend to 3 Passes and change the color for 3 passes to green to indicate that the special provision requirements are met. Session 3, Page 5

7 3.6 Alignment File Add the alignment file to the Veta project to allow viewing of the intelligent compaction data with respect to the line work. Select Alignment on the top toolbar Select Add File from the top toolbar Select Add Alignment and browse to select the alignment file associated with this project (SP TH78 Alignment.kmz). Session 3, Page 6

8 3.6.4 Relabel the complex shapes to allow for easier selection of the shape during creation of location filters. The complex shapes are polygons (typically polygon outlines of each traffic and required auxiliary lane) that are used to trim (exclude) IC data that is located outside of the required measurement areas. The complex shapes are typically labeled (by default); UDEFA, UDEFB, UDEFC,, etc.. This default labeling schema makes it difficult to remember which complex shape is for a given centerline offset (production area). For this project, there are only two (2) complex shapes (UDEFA and UDEFB). Select each complex shape to visually determine which centerline offsets that the given shape represents. Session 3, Page 7

9 Label the complex shapes using the centerline offset naming convention, per Table (IC) (see pg. SP-8), by selecting the complex shape name with the right mouse button (see image below). Label the complex shapes as follows: For this example, there were two (2) traffic lanes and one (1) continuous left turn lane, and therefore, the contractor pulled 1.5 lanes (18-ft paving) during the paving operation for these lanes. Consequently, the centerline offsets were: CL-18R and 18L-CL. 3.7 Create Filter Combinations for Each Lot Creation of filters allows the user to organize the data for mapping and analyses Open the filter setting file (04 SP TH78 IC-PMTP Filters v03.pdf) for reference during this example. Session 3, Page 8

10 3.7.2 Select Filters on the top toolbar Select final coverage to allow viewing of the final coverage data after creation of given filters Create Filter Groups for Each Lot Filter groups allow the user to group data for analyses in different ways. Such as, by production day, by location, by lift, by lane, by roller, etc. Select Create on the top toolbar, and select Create Filter Group. Session 3, Page 9

11 S-xx.3.J (pg. SP-10) requires that filter groups are created for each lot (see S-xx.3.F.1, pg. SP- 7, for Lot Establishment ). For this project, the first paving lot for lift 1 was on September 4, 2015 for centerline offsets of 18L-CL. Table (IC) (pg. SP-10) indicates the standardized naming convention for filter groups. Label the filter group for this lot as follows: Create Operation Filter for Each Lot The operation filter allows the user to select different parameters to filter the data by (e.g., Imported File Name, Machine ID, Design Name, Time Filter, Location Filter). Select Create on the top toolbar, and select Create Operation Filter. Session 3, Page 10

12 Again, S-xx.3.J (pg. SP-10) requires that operation filters are created for each lot (see S- xx.3.f.1 pg. SP-7, for Lot Establishment ). For this project, the first paving lot for lift 1 was on September 4, 2015 for centerline offsets of 18L-CL. Table (IC) (pg. SP-10) also indicates the standardized naming convention for operation filters. Label the operation filter for this lot as follows: Check the box next to the operation filter name to allow this operation filter to be associated with the selected filter group name (the filter group just created). Session 3, Page 11

13 3.7.6 Set Filter Criteria for Operation Filter In the background, Veta has created a database containing all of the data that has been imported into this project. Therefore, the user needs to use some criteria to separate (filter) the data for this lot from the rest of the paving data. The following criterion is commonly used to filter lot data: Imported File Name (or Time Filter), Machine ID and Location Filter. For this example, the data was exported per day, and therefore, the file name can be used instead of a time filter. Use the reference file (04 SP TH78 IC-PMTP Filters v03.pdf) to set the filter criteria for this lot (operation filter). Select Imported file name and select the file: SP TH78 HMA csv. This file contains all of the IC measurements collected during compaction efforts during the September 4, 2015 paving operation. Session 3, Page 12

14 Select Machine ID and ensure all 3 rollers are selected. This allows the user to calculate the roller coverage for the entire rolling train in the analyses. An override filter (to be discussed later) is used to run analyses for a given roller separately from the rest of the rolling train. Select the Design Name. The Trimble system uses the (Machine) Design Name to designate which lot is currently being compacted. Consequently, regardless of which IC system is being used (i.e., Trimble, TopCon, Sakai, etc.), it is extremely important to ensure that the roller operators select the correct lot prior to the start of compaction efforts on a given lot. Session 3, Page 13

15 Select the design name that matches the lot that the given operation filter is being created. For this example select HMA-L1-18L-CL. The time filter will not be used for this example, since this IC data was exported per paving day; however, the time filter would be used to separate data from the different paving dates if the exported IC file included more than one day of paving. Select the Location Filter. The location filter allows the user to select the complex shape that corresponds to the lot that the operation filter is being created. This complex shape is used to trim (exclude) IC data that is located outside of the required measurement areas. Select Source from the lower left panel, and enter the following selection which corresponds to the complex shape for centerline offsets of 18L-CL: Session 3, Page 14

16 Selection > Use a Portion of an alignment drawing Alignment > SP TH78 Alignment Drawing > UDEFB (18L-CL) Object > Line1 (18L-CL) Use a portion of an alignment file is selected, as the lot does not encompass the entire project limits/complex shape. The boundary coordinates, collected by the Engineer, for the lot (see S-xx.3.I, pg. SP-10) are used to automatically select the portion of the complex shape that is associated with this given lot. Enter the boundary coordinates of this lot as follows: Session 3, Page 15

17 Select and copy the yellow-coded boundary coordinates (including the column headings) for this lot from the reference file (04 SP TH78 IC-PMTP Filters v03.pdf). menu. Switch back to Veta. Right click the blank table and select Paste Location from the The boundary of the paving is defined by the portion of the alignment file and the four (4) boundary coordinates. Session 3, Page 16

18 3.7.7 View IC Measurements for Filter Group for Each Lot Ensure that the correct Filter Group was selected from the menu bar and the corresponding operation filter was selected for each lot. Select Apply Filter to update the map. Inspect the filtered data now shown on the map to ensure that the operation filter was created correctly. Repeat this process (sections through 3.7.6) to create the other filter groups and operation filters for the remaining lots. Session 3, Page 17

19 HMA-L1-CL-18R HMA-L1-CL-18R HMA-L2-18L-CL HMA-L2-CL-18R HMA-L3-CL-18R HMA-L3-18L-CL Analysis as a group. Analyze the data and examine the results. Follow the trainer to select filter groups to analyze Select Analysis from the top toolbar and select the desired filter group. No sublots have been created for this example project, and therefore, this drop down is unused. The Radius (ft) feature, allows the user to calculate the average value, of the given IC measurement, over a circular region with a radius size as input by user. This average value is calculated at the location of each Spot Test measurement for use in correlation analyses. Input the pass count specification requirements (see S-xx.3.L, pg. SP-11). This step is optional, as the roller coverage for each lot will be used in the final submittals, however, this feature gives a quick snapshot of the overall roller coverage for the data set of the filter group selected. Session 3, Page 18

20 Select Analyze. Review the following: Coverage Inspect the coverage report table and charts. The coverage are combined passes from all the machines selected in the filter group. Overall Results Select Pass count, Speed, Frequency, Amplitude, Temperature and CMV to view the statistical results. 3.8 Create Filter Groups for Each Lift Now that the operation filters have been created for each lot, the user can start combining lot data together to look at other combinations (e.g., per lift, per lane, per roller, etc.) Create Filter Groups for each lift, by combining select operation filters together, to allow for viewing and analysis of filtered data for the entire lift. Use the following table as a reference. This information is also in the reference file (04 SP TH78 IC-PMTP Filters v03.pdf). Session 3, Page 19

21 Create & Select Filter Group Name HMA-L1 - All Rollers HMA-L2 - All Rollers HMA-L3 - All Rollers Select Operation Filter Name HMA-L1-18L-CL HMA-L1-CL-18R HMA-L1-CL-18R HMA-L2-18L-CL HMA-L2-CL-18R HMA-L3-CL-18R HMA-L3-18L-CL Analyze the data and examine the results for a given lift. Follow the trainer to select a filter group to analyze as a group. Select Analysis from the top toolbar and select the desired filter group. 3.9 Create Filter Groups for Each Lane Create Filter Groups for each lane, by combining select operation filters together, to allow for viewing and analysis of filtered data for the entire lane. Use the following table as a reference. This information is also in the reference file (04 SP TH78 IC-PMTP Filters v03.pdf). Create & Select Filter Group Name HMA-L1-18L-CL - All Rollers HMA-L1-CL-18R - All Rollers HMA-L2-18L-CL - All Rollers HMA-L2-CL-18R - All Rollers HMA-L3-18L-CL - All Rollers HMA-L3-CL-18R - All Rollers Select Operation Filter Name HMA-L1-18L-CL HMA-L1-CL-18R HMA-L1-CL-18R HMA-L2-18L-CL HMA-L2-CL-18R HMA-L3-18L-CL HMA-L3-CL-18R Analyze the data and examine the results for a given lane. Follow the trainer to select a filter group to analyze as a group. Session 3, Page 20

22 3.10 Create Filter Groups and Override Filters for Each Roller Finally, create Filter Groups and Override Filters for each Machine ID to allow for viewing of compaction efforts by each roller. This can be done for each lot, each lane, and/or each lift. For this example, the user will create filter groups to allow for viewing of each roller per lift. Analysis by roller is useful for ensuring that each roller s intelligent compaction system is functioning correctly, monitor equipment utilization and/or monitor the compaction efforts by a given roller operator. Select Create on the top toolbar and select Create override filter. Label the override filter using the Machine ID. Select the corresponding Machine ID in the lower bottom menu. Create override filters for each Machine ID (roller). Session 3, Page 21

23 Create a filter group for each lift and roller. Use the name designations below, which can also be found in the reference file (04 SP TH78 IC-PMTP Filters v03.pdf). Select the appropriate filter group, override filter and operation filters to create the data set for IC measurements per lift and per roller. Create & Select Create & Select Select Override Filters Filter Group Name Operation Filter Name HMA-L1 - CB634D CDF HMA-L1-18L-CL HMA-L1-CL-18R HMA-L1-CL-18R CB634D CDF HMA-L2-18L-CL HMA-L2 - CB634D CDF HMA-L2-CL-18R HMA-L3 - CB634D CDF HMA-L3-CL-18R HMA-L3-18L-CL CB634D CDF00529 PS360C PFJ00429 HMA-L1 - CB634D CDF00529 HMA-L2 - CB634D CDF00529 HMA-L3 - CB634D CDF00529 HMA-L1 - PS360C PFJ00429 HMA-L2 - PS360C PFJ00429 HMA-L3 - PS360C PFJ HMA-L1-18L-CL HMA-L1-CL-18R HMA-L1-CL-18R HMA-L2-18L-CL HMA-L2-CL-18R HMA-L3-CL-18R HMA-L3-18L-CL HMA-L1-18L-CL HMA-L1-CL-18R HMA-L1-CL-18R HMA-L2-18L-CL HMA-L2-CL-18R HMA-L3-CL-18R Session 3, Page 22

24 Create & Select Create & Select Select Override Filters Filter Group Name Operation Filter Name HMA-L3-18L-CL Analyze the data and examine the results for a given roller. Follow the trainer to select a filter group to analyze as a group Spot Tests The Spot Tests menu allows the user to overlay verification and/or quality assurance test results (e.g., density cores, density nuclear gauge, DCP, Sand Cone, etc.) on top of the intelligent compaction data. Coordinates of the verification/quality assurance spot test location are required to import the test values into Veta (see S-xx.3.I, pg. SP-10). Import the core density measurements for this example as follows: Open the spot test file (SP TH78 Cores.xlsx) and highlight/copy the yellow coded cells Switch back to Veta and select Spot Tests from the top toolbar Select File: Final Coverage. Click the Paste button. Examine the black dots on the IC map. Mouse over them to view the spot test information. Session 3, Page 23

25 Analysis Analyze the data and examine the correlation results for spot test data. Follow the trainer to select a filter group to analyze as a group Close the IC project Session 3, Page 24

26 Session 4 Hands-On Exercise (Part 2: Paver Mounted Thermal Profile Method) 4.1 Example Project Files The case study files are located in the following directories: Windows 7+: C:\Users\Public\Public Documents\Veta 4 Samples\3-Trimble-MOBA-MN-TH78_HMA Windows XP: C:\Documents and Settings\All Users\Shared Documents \Veta 4 Samples\3-Trimble-MOBA- MN-TH78_HMA 4.2 Learning Objectives Manage and analyze the entire project Import paver-mounted thermal profile data from MOBA Pave-IR system Import alignment file Create filter groups, operation filters, data filters and override filters Input spot test data Perform extensive analysis 4.3 Project Information The paver was instrumented with Moba s thermal profiling scanner. Please note, that the photos included below are not actual photos from the project. Session 4, Page 1

27 Moba Bar MOBA Scanner Site TH-78, MN (dummy project highway) Project MnDOT SP TH-78 (dummy project no.) Test Bed 3 lifts on EB and WB Date Paving 9/4/2015 through 9/15/2015 Manufacturer MOBA (PMTP) Machines MOBA Thermal Scanner Material Type HMA Coordinate system MN County - Roseau Session 4, Page 2

28 Data Files PMTP Data: (SP TH78 PMTP.vetaproj) consists of the following PMTP files that have already been imported: Pave_2015_09_04_06_41_27_AM.paveproj Pave_2015_09_04_12_43_50_PM.paveproj Pave_2015_09_08_07_02_48_AM.paveproj Pave_2015_09_09_01_10_11_PM.paveproj Pave_2015_09_09_06_54_45_AM.paveproj Pave_2015_09_14_07_11_10_AM.paveproj Alignment file: SP TH78 Alignment.kmz Filter Settings: 04 SP TH78 IC-PMTP Filters v03.pdf Spot test data: SP TH78 Cores.xlsx 4.4 Open Sample Project The PMTP Veta project file is located in the Veta 4 samples folder. For ease in class, a shortcut to the sample folder has already been created and is located on the computer desktop. Open the sample folder and navigate to the director and file name in bold below: C:\Users\Public\Public Documents\Veta 4 Samples\3-Trimble-MOBA-MN-TH78_HMA\ SP TH78 PMTP.vetaproj. 4.5 Change Coordinate System Change the coordinate system from GPS to the county coordinates. Session 4, Page 3

29 Select Project on the top toolbar. Select Properties from the drop down menu. By default, the Coordinate System will be set as GPS, therefore, the user will need to change the coordinate system will need to be changed to county coordinates. Select the drop down arrow by Coordinate System. Select Minnesota County Coordinates. Session 4, Page 4

30 4.6 View PMTP Maps Select Viewer on the top toolbar to view maps of the PMTP data Select the Data drop down menu to view maps of different measurements collected by the PMTP system (i.e., surface temperature measurements and pave speed). Session 4, Page 5

31 4.6.3 Right click on legend and select customize to change the color palette for temperature to the following color pallet. Select OK to save changes to color palette. This color pallet most closely matches that used by the Moba software. Session 4, Page 6

32 4.7 Alignment File Add the alignment file to the Veta project to allow viewing of the PMTP data with respect to the line work. Select Alignment on the top toolbar Select Add File from the top toolbar Select Add Alignment and browse to select the alignment file associated with this project (SP TH78 Alignment.kmz). Session 4, Page 7

33 4.8 Create Filter Combinations for Each Lot Creation of filters allows the user to organize the data for mapping and analyses Open the filter setting file (04 SP TH78 IC-PMTP Filters v03.pdf) for reference during this example. Please note that this file may already be open from working with the IC data in session Select Filters on the top toolbar Create Filter Group for Each Lot Select Create on the top toolbar, and select Create Filter Group. Filter groups allow the user to group data for analyses in different ways. Such as, by production day, by location, by lift, by lane, by paver, etc. Session 4, Page 8

34 S-xx.3.G (pg. SP-19) requires that filter groups are created for each lot (see S-xx.3.D.1, pg. SP-17, for Lot Establishment ). For this project, the first paving lot for lift 1 was on September 4, 2015 for centerline offsets of 18L-CL. Table (PMTP) (pg. SP-20) indicates the standardized naming convention for filter groups. Label the filter group for this lot as follows: Create Operation Filter for Each Lot The operation filter allows the user to select different parameters to filter the data by (e.g., file name, sensor location, machine ID, time filter, Paving width filter, location filter). Select Create on the top toolbar, and select Create Operation Filter. Again, S-xx.3.G (pg. SP-19) requires that operation filters are created for each lot (see S- xx.3.d.1 pg. SP-17, for Lot Establishment ). For this project, the first paving lot for lift 1 was Session 4, Page 9

35 on September 4, 2015 for centerline offsets of 18L-CL. Table (PMTP) (pg. SP-20) also indicates the standardized naming convention for operation filters. Label the operation filter for this lot as follows: Check the box next to the operation filter name to allow this operation filter to be associated with the selected filter group name (the filter group just created) Set Filter Criteria for Operation Filter In the background, Veta has created a database containing all of the data that has been imported into this project. Therefore, the user needs to use some criteria to separate (filter) the data for this lot from the rest of the paving data. The following criterion is commonly used to filter lot data: Imported File Name, Sensor Filter, Time Filter (if the file contains more than one lot) Session 4, Page 10

36 and Machine ID (if multiple pavers with PMTP systems are used on the same project). For this example, the data was exported per day and per lot, and therefore, the time filter is not used. Additionally, only one paver was instrumented with the PMTP, and therefore, the Machine ID filter is not used. Use the reference file (04 SP TH78 IC-PMTP Filters v03.pdf) to set the filter criteria for this lot (operation filter). Select Imported File Name and select the file: Pave_2015_09_04_06_41_27_AM.paveproj. This file contains all of the PMTP measurements collected during the paving efforts for this lot (centerline offsets of 18L-CL) during the September 4, 2015 paving operation. Ensure that the Sensor Filter has all measurement (sensor) locations selected, because thermal segregation is evaluated using 100 percent of the recorded data for each sublot (see S- xx.3.i.1.a, pg. SP-20). Session 4, Page 11

37 Ensure that the Machine ID for the PMTP is selected. The time filter will not be used for this example, since the PMTP data was exported per paving day and per lot; however, the time filter would be used to separate the different lots if the exported PMTP file included more than one lot of paving. The exported files from the Moba system cannot digitally store more than one lot designation in a given file. Consequently, the paving operator must create a new file for each lot. S- xx.d.1 (pg. SP-17) requires that the lot designations are digitally stored with the associated thermal profile measurements. Session 4, Page 12

38 The Paving Width Filter and Location Filter are not used for the special provision requirements Create Data Filter for use with all Filter Groups The data filter allows the user to filter the data by speed and/or temperature. Select Create on the top toolbar, and select Create Data Filter. Label the data filter as follows: Session 4, Page 13

39 Check the box next to the data filter name to allow this data filter to be associated with the selected filter group name and operation filter (the filter groups just created) Set Filter Criteria for Data Filter S-xx.3.I.1.a (pg. SP-20) requires that surface temperature readings less than 180 F are removed from the thermal segregation analysis. This filter criterion is required to remove extraneous temperature measurements that are often captured in the measurement area from human body temperatures and/or brackets used for smoothness. For instance, the thermal scanner will often capture the temperature of the paving operator as s/he is performing thickness checks or may capture brackets/obstructions used for paving smoothness. These brackets are often measured at temperatures of F, and therefore, 180 F is used to remove these measurements. However, both the Engineer and the Contractor must ensure that brackets and/or other obstructions used for pavement smoothness, that are located in the measurement area, do not affect more than two (2) surface temperature readings recorded in the lateral direction (i.e., sensor locations in Veta). See S- xx.3.c (pg. SP-17). Select Temperature and set minimum temperature to >= 180. Session 4, Page 14

40 4.8.8 View PMTP Measurements for Filter Group for Each Lot Ensure that the correct Filter Group was selected from the menu bar and the corresponding data and operation filter were selected for each lot. Select Apply Filter to update the map. Inspect the filtered data now shown on the map to ensure that the data and operation filters were created correctly. Repeat this process (sections through 4.8.6) to create the other filter groups and operation filters for the remaining lots. Please note, that only one data filter (for temperature) is created. The data filter is associated with all of the filter groups by selecting the box next to the data filter name when creating the subsequent Filter Groups. Session 4, Page 15

41 HMA-L1-CL-18R HMA-L1-CL-18R HMA-L2-18L-CL HMA-L2-CL-18R HMA-L3-CL-18R HMA-L3-18L-CL 4.9 Establish Sublots for Each Lot S-xx.3.D.2 (pg. SP-18/19) requires the establishment of sublots in Veta. Once the lots are established (in Veta the lots were created by creating filter groups in the previous steps), the lots are divided into 150 linear ft sublots. This can be done in Veta by using the sublot feature. Select Sublots from the top toolbar. Select the filter group for the first lot HMA-L1-18L-CL. Select Add from the top toolbar. Session 4, Page 16

42 L1-18L-CL). Name the sublot with the same name used for the selected filter group ( HMA- S-xx.3.G (pg. SP-20), requires that the same standardized naming convention used for the filter groups and operation filters is also used for the sublots. Set the start of the sublots at the start of paving. This can be determined by selecting Zoom To and then selecting Zoom to first location from the drop down list. Session 4, Page 17

43 Use the zoom feature to zoom into the image to the maximum zoom extents. Place the mouse curser immediately adjacent, to the mid-edge of the surface temperature readings. Right click the mouse and select Set Start Location. S-xx.D.2 [pg. SP-19] states that the user will set the sublot start and end location for the given lot in Veta to correspond with the start and end of paving, respectively. Follow the same process to find the end of paving. Select Zoom To and then select Zoom to last location from the drop down list. Place the mouse curser immediately adjacent, to the mid-edge of the surface temperature readings. Right click the mouse and select Set Stop Location. Session 4, Page 18

44 Enter 150 ft into the longitudinal sublot length in the bottom, left menu, per the special provision requirements. Adjust the traverse length, as needed, to ensure that the sublots capture the entire width of the lot. The default value of 98 ft works for the majority of cases. Do not adjust the northing and easting values. These were automatically entered through the previous steps when selecting the start and end of paving (i.e., start and stop locations). Select Create Lots from the top toolbar. Session 4, Page 19

45 limits. Visually inspect the map. 150-ft sublots should have been created along the entire lot Repeat this process to create sublots for the remaining filter groups for each lot. Select Create & Select Filter Group Name Sublot Name HMA-L1-18L-CL HMA-L1-18L-CL HMA-L1-CL-18R HMA-L1-CL-18R HMA-L1-CL-18R HMA-L1-CL-18R HMA-L2-18L-CL HMA-L2-18L-CL HMA-L2-CL-18R HMA-L2-CL-18R HMA-L3-CL-18R HMA-L3-CL-18R HMA-L3-18L-CL HMA-L3-18L-CL 4.10 Analyze Each Lot Analyze the data and examine the results for each lot. Follow the trainer to select filter groups to analyze as a group. Select Analysis from the top toolbar and select the desired filter group and corresponding sublot. The Radius (ft) feature, allows the user to calculate the average value, of the given PMTP measurement, over a circular region with a radius size as input by user. This average value is calculated at the location of each Spot Test measurement for use in correlation analyses. Session 4, Page 20

46 Complete the form, as indicated in the following image, per the requirements of the special provision (S-xx.3.I). S-xx.I.1.a.2 (pg. SP-20) Table (PMTP), pg. SP-21 Select Analyze after completion of the form. If Analyze button is grayed out, apply filter to enable selection of Analyze button. - Observe the results by selecting menu on the left from top down Coverage The actual area is the sensors-covered areas excluding the paver stop areas (2-ft before and 8-ft after each stop) Thermal Profile View the thermal profile, duration (paver stops), and paver speed vs. distance plots. Zoom in to paver stop areas and compare the results. Session 4, Page 21

47 Paver Stops View the paver stops map and identify the long paver stop locations. Zoom in any paver stop areas to observe the temperature patterns Overall Results/Speed Examine the statistical analysis results, histogram, and accumulated distribution of paver speed. Examine the results in the Correlation tab Overall Results/Temperature Examine the statistical analysis results, histogram, and accumulated distribution of temperature under the Distribution tab. Examine the results in the Correlation tab. Switch to the Differential tab, examine of temperature segregation summary table and identify the sublots with severe and moderate temperature segregation under the Category Sublot Summary Results/Temperature Examine the statistical distribution for selected sublots and compare with the temperature maps. Select the Mean tab and compare mean temperature for all sublots Sublot Details Select any row output of temperature and examine the statistical distribution results and histogram/accumulated distribution for all sublots. Compare those results with the temperature profile map Create Filter Groups for Each Lift Create Filter Groups for each lift, by combining select operation filters together (and the data filter), to allow for viewing and analysis of filtered data for the entire lift. Use the following table as a reference. This information is also in the reference file (04 SP TH78 IC-PMTP Filters v03.pdf). Session 4, Page 22

48 Create & Select Select Select Filter Group Name Data Filter Name Operation Filter Name HMA-L1 Temperature >= 180F HMA-L1-18L-CL HMA-L1-CL-18R HMA-L1-CL-18R HMA-L2 Temperature >= 180F HMA-L2-18L-CL HMA-L2-CL-18R HMA-L3 Temperature >= 180F HMA-L3-CL-18R HMA-L3-18L-CL Analyze the data and examine the results for a given lift. Follow the trainer to select a filter group to analyze as a group Filter Groups for Each Lane Create Filter Groups for each lane, by combining select operation filters together (and the data filter), to allow for viewing and analysis of filtered data for the entire lane. Use the following table as a reference. This information is also in the reference file (04 SP TH78 IC-PMTP Filters v03.pdf). Create Select Select Filter Group Name Data Filter Name Operation Filter Name HMA-L1-18L-CL Temperature >= 180F HMA-L1-18L-CL HMA-L1-CL-18R Temperature >= 180F HMA-L1-CL-18R HMA-L1-CL-18R HMA-L2-18L-CL Temperature >= 180F HMA-L2-18L-CL HMA-L2-CL-18R Temperature >= 180F HMA-L2-CL-18R HMA-L3-18L-CL Temperature >= 180F HMA-L3-18L-CL HMA-L3-CL-18R Temperature >= 180F HMA-L3-CL-18R Analyze the data and examine the results for a given lane. Follow the trainer to select a filter group to analyze as a group. Session 4, Page 23

49 4.13 Spot Tests The Spot Tests menu feature allows the user to overlay verification and/or quality assurance test results (e.g., density cores, density nuclear gauge, DCP, Sand Cone, etc.) on top of the PMTP data. Coordinates of the verification/quality assurance spot test location are required to import the test values into Veta. Import the core density measurements for this example as follows: Open the spot test file (SP TH78 Cores.xlsx) and highlight/copy the yellow coded cells Switch back to Veta and select Spot Tests from the top toolbar Select File: Raw Data. Click the Paste button. Examine the black dots on the PMTP map. Mouse over them to view the spot test information Analysis Analyze the data and examine the correlation results for spot test data. Follow the trainer to select a filter group to analyze as a group Close the PMTP project Session 4, Page 24