Construction Inspection for Digital Project Delivery

Transcription

1 Construction Inspection for Digital Project Delivery Alexa Mitchell, PE Jon Gustafson, PS, PMP, GISP October 3, :00 pm 2:30 pm EDT

2 Background Accelerated project delivery has introduced new innovations and technologies for construction. Technology and digital data has become increasingly available. Previous studies had focused on understanding the technology rather than process change and data integration. There was a need to create effective practices for using technology, and manage data gathered during construction inspection.

3 Construction Inspection for Digital Project Delivery Contact Information Richard Duval, PE FHWA Contact Information Matthew Corrigan, PE FHWA (202)

4 Web Room Interface and Participation Tips Familiarize yourself with the interface You may participate by Answering the questions we post Posting questions in the Q&A pod By collaborating with others in the audience today by entering comments 1 2 3

5 Please respond to the polls

6 Agenda Research team, objectives and approach Research findings State of the practice Case studies Guidance for institutionalizing digital inspection practices Recommended effective practices by technology Conclusions and future direction Moderated Q&A

7 The Research Team FHWA COR Many thanks to all the agencies who provided input and participated in the case studies Research Assistant Elyssa Gensib Richard Duval, PE Turner Fairbanks Research Center Principal Investigator Alexa Mitchell, PE Research Staff Co-Investigator Jon Gustafson, PS, PMP, GISP Principal-in-Charge Jagannath Mallela, PhD Construction Inspection SMEs Stacy Kubit, PE Michael Teachout Support Staff Technical Editor Ellen Schweppe (ES) 508 Compliance Darieus ZaGara (OPP)

8 Investigate use of digital data and technology Evaluate use of UAS technology Develop best practices for use of technology Develop best practices for implementing UAS Research Objectives

9 What is Digital Project Delivery? the effective use of a combination of tools to create, consume, capture, store, process, query, and analyze digital information throughout the delivery of a transportation project Sources: FHWA

10 Conduct literature review Develop selection criteria Conduct case study investigations Process analysis to draw conclusions Draft guidance Disseminate research products Research Approach

11 Research Findings

12 Drivers for Technology Adoption Needing to optimize workforce utilization Wanting reliable information to make decisions Being able to stay mobile Keeping up with industry Needing to attract a new generation

13 General Key Findings Continuing efforts will lead to increased efficiency and benefits Training and developing workforce will win user ownership Prioritization of technology implementation based on marketready maturity will build confidence for future initiatives

14 General Key Findings Technology deployment based on data needs optimizes benefits Collaboration with industry and internal stakeholders results in effective implementation Leveraging alternative delivery to pilot technology generates lessons learned

15 General Key Findings Equipping inspectors with digital inspection technology is empowering Decision making is streamlined and data-driven without impacting quality Digital inspection technology appears to save costs by reducing reliance on paper, limiting the need for third-party support (e.g. DOT survey crews), and reducing project delays caused by inspection requirements.

16 Small UAS for Construction Inspection UAS are being used, but not for construction acceptance SHA are hesitant to adopt technology due to changing landscape of federal and state regulation Several SHA are evaluating or piloting UAS

17 Please respond to the polls

18 State of the Practice

19 Construction Inspection the purpose of construction inspection is to ensure a quality product Measuring Quality Concrete pavement materials Asphalt pavement materials Bridge deck and/or protective system construction Structural concrete materials Base course - aggregate Embankment - soils Verification Observe testing procedures Document test results Locate installed features Measure payment quantities

20 Graphical Data Digital Data for Real Time Verification & As-Builts 3D Design GIS

21 Non-Graphical Data Barcodes e-ticketing Electronic Daily Reporting and Digital Data for Materials Field Inspections RFID Mobile Devices Inertial Profilers Intelligent Compaction Information Management Systems

22 Case Studies

23 Arizona Department of Transportation Connecticut Department of Transportation Iowa Department of Transportation Initial Round Interviews Missouri Department of Transportation Montana Department of Transportation Nevada Department of Transportation Oregon Department of Transportation Pennsylvania Department of Transportation Texas Department of Transportation

24 Selection Criteria Procurement and project type, and contract amount Enabling construction specifications for digital project delivery Digital data available for construction inspectors Equipment available for construction inspection Sensors used for data collection Construction data collection systems and practices Closeout and asset commissioning

25 Selected Projects

26 Case Study State Highway Method Digital Inspection Practice 1 Arizona Loop 202 DBOM Digital reporting and document management 2 Iowa SH 16 DB e-ticketing and use of mobile applications for materials management and digital as-builts 3 Minnesota US 169 DBB GNSS rovers for verification and quantity measurements 4 Missouri I 55 DBB GNSS rovers and robotic total stations for verification and quantity measurements 5 Pennsylvania SH 376 DBB Mobile devices and applications, and integrated digital systems for construction inspection 6 Texas US 75 DBB Mobile devices and training program for construction inspection 7 Alabama US 82 DBB suas for construction inspection 8 Montana US 89 DBB suas for construction inspection Overview of Case Study Projects

27 Case Study #1 Arizona Loop 202 South Mountain

28 $1.66 billion DBOM expansion project Use of digital daily reporting and information management system Technology and systems Standard equipment: laptops or tablets IMS: Home-grown system (FAST) with multiple modules Case Study #1: ADOT Loop 202 South Mountain

29 3D digital data for real-time verification Contractors use AMG Has not implemented digital data for construction inspection As-built records GPS coordinates for ITS features Store in ADOT ITS database Recently started a roadway feature inventory Other as-built records marked up PDF plan sheets Training Coordinates management workshops Evaluating current training program Case Study #1: ADOT Loop 202 South Mountain

30 Case Study #2 Iowa State Highway 16

31 $2.9 million DB rehabilitation Use of e-ticketing, mobile devices and GIS applications Technology and systems ipads, laptops, and iphones AASHTOWare FieldManager Doc Express Spreadsheets Piloting GIS applications for recording as-built features Piloting e-ticketing Source: Iowa DOT Report from e-ticketing system Case Study #2: Iowa DOT State Highway 16

32 3D digital data for real-time verification Contractors use AMG Has no implemented digital data for construction inspection As-built records Piloting GIS applications Paper or electronic PDF marked up plans Training Web-based resources (manuals and videos) Learning management system (Iowa DOT U) Case Study #2: Iowa DOT State Highway 16

33 Case Study #3 Minnesota US Highway 169

34 $5.9 million DBB expansion Use of GNSS rovers for real-time verification Technology and systems ipads, laptops, and iphones GNSS setup Dynamic cone penetrometer AASHTOWare Project SiteManager AASHTOWare CRLMS GIS specification for digital as-builts Spreadsheets Document management systems Source: MnDOT Example of a dynamic cone penetration test apparatus Case Study #3: MnDOT US Highway 169

35 3D digital data for real-time verification Contractors use AMG Has implemented digital data for construction inspection As-built records Requests contractor to deliver GIS information for some features As-built plans are marked up electronically Training On-the-job-training Certification courses for QA functions AASHTO Transportation Curriculum Hands-on training for GNSS rovers Case Study #3: MnDOT US Highway 169

36 Case Study #4 Missouri Interstate 55

37 $16 million DBB expansion Use of GNSS rovers for real-time verification Technology and systems Laptop or tablet and smart phone GNSS and RTS setup and a digital level Survey and CAD software AASHTOWare Project SiteManager AASHTOWare CRLMS PDF editing software for plan markups Multiple mobile applications Document management systems Custom-developed tool (CRE2O) Source: FHWA Inspectors setting up GNSS rover for taking measurements Case Study #4: MoDOT Interstate 55

38 3D digital data for real-time verification Contractors use AMG Inspectors use survey equipment and digital data for real-time verification As-built records Electronic PDF from CAD Training On-boarding training On-the-job-training Certification courses for QA functions Instructor-led and hands-on training for survey equipment and digital files Case Study #4: MoDOT Interstate 55

39 Case Study #5 Pennsylvania State Highway 376

40 $16 million DBB rehabilitation Use of mobile devices and IMS Technology and systems ipad and laptop MIT scanning Enterprise IMS (ECMS, CDSv3, ecamms) Multiple mobile applications PDF editing software for plan markups Inertial profilers Source: FHWA Metal disk used with MIT scanning technology Case Study #5: PennDOT State Highway 376

41 3D digital data for real-time verification Contractors use AMG Has not implemented digital data for real-time verification As-built records Electronic PDF marked up plans Training Web-based training Instructor-led training Certification courses for QA functions Instructor-led and hands-on training Case Study #5: PennDOT State Highway 376

42 Case Study #6 Texas US Highway 75

43 $37 million DBB capacity expansion Use of mobile devices and inspector development program Technology and systems Tablets Inspector data collection app Stockpile reporting Source: FHWA Reviewing daily work reports from the previous day Case Study #6: TxDOT US Highway 75

44 3D digital data for real-time verification Contractors use AMG Has not implemented digital data for real-time verification As-built records Electronic PDF marked up plans Training Inspector Development Program (IDP) Classroom training Online courses YouTube training videos Case Study #6: TxDOT US Highway 75

45 Case Study #7 Alabama US Highway 82

46 $46.5 million DBB expansion Use of UAS for construction inspection Established UAS program under GIS unit Have been piloting multiple applications for the last three years Worked with service providers at first Scaled program to have multiple UAS setups Developed standard operating procedures and training Desired to tie UAS to asset management Established policies and rules to guide operations Source: ALDOT 3D textured mesh of portion of Gordo Bypass project Case Study #7: ALDOT US Highway 82

47 UAS Equipment 3 multirotor 1 fixed-wing RGB digital cameras Thermal imaging Software to support UAS missions emotion Pix4D ContextCature Hydra Fusion Source: ALDOT ALDOT UAS fleet Case Study #7: ALDOT US Highway 82

48 Case Study #8 Montana US Highway 89

49 $6.7 million DBB reconstruction Use of UAS for construction inspection Evaluating UAS technology Partnered with consultant to test/pilot the technology Piloting earthwork quantity measurements Source: FHWA Skycatch UAS Case Study #8: MDT US Highway 89

50 UAS Equipment 2 multirotor (DJI Phantom 4 Pro) Plans to purchase 3 more systems Software to support UAS missions Pix4D Agisoft PhotoScan Pro DroneDeploy Enterprise Propeller Aero Trimble Business Center Autodesk Recap Pro Bentley ContextCapture, Descartes and OpenRoads ConceptStation Virtual Surveyor TopoDOT Source: FHWA Surveyor taking GNSS measurements of target locations Case Study #8: MDT US Highway 89

51 Please respond to the polls

52 Guidance: Institutionalizing Digital Inspection Practices

53 Leadership support Develop workforce with new skill sets Collaborate with IT and industry Leverage alternative delivery for piloting technology Align enterprise data management strategy Update 3D digital data goals and phase deployment of survey equipment Steps for Advancing Digital Inspection Technology

54 Deployment of mobile devices to populate IMS Implementation of 3D digital data and survey equipment for real-time verification Development of enterprise strategy to capture asbuilt conditions Investigation to institute a UAS program to include construction applications Evaluation/piloting of e-ticketing, barcodes, or RFID technology for tracking materials Considerations for Implementing Digital Inspection Practices

55 Core Knowledge Area Policy and procedures Guidance for aligning inspection activities with items to be checked and documented. Hardware skills Instructions on using mobile devices, laptop/desktop computers, and modern surveying equipment. Software skills Instructions on using various programs on specific devices, including mobile applications, CADD software, and databases. Data Management Guidance for data exchanges during and after construction, including version control, data validation, and collaboration tools or final repository of information. Guidance/Policy Document Construction specifications, construction manual. Survey manual, equipment manual, training materials, tutorials, on-the-job training. Software manual, training materials, tutorials, on-the-job training. Construction manual, training materials, data management specifications Strong training for general inspection procedures, use of hardware and software, and guidance on managing data. Training Programs

56 Recommended Effective Practices

57 Mobile Devices Information Management Systems Identify information collected in the field using paper forms, and WHY? Collaborate with IT to evaluate various systems and available resources Create short term goals to transform paper forms into smart forms using a mobile interface Solicit input from inspectors to identify pain points and areas of improvement Establish proper training for using the tools and update processes, manuals, and specifications Electronic Inspection Reporting and IMS

58

59 3D Design GIS Define core technology packages for a group of inspectors Specify and enforce contractor specifications for providing equipment Create inspector roles and innovative training programs based on geospatial principles and technology Establish a partnering mechanism with industry to pilot/use technology Collaborate with asset management to determine data needs and create geospatial e-forms Establish proper training for using the tools and update processes, manuals, and specifications GNSS, RTS, and GIS Technology

60 Partner with industry to pilot specific technology Seek inspector input on developing e-forms for data collection If the technology relies on GPS signal, make plans for poor signal in rural areas or urban canyons Work with current systems administrators to determine data needs Identify information to be stored in digital barcodes to tie material test results or material tracking Establish proper training for using the tools and update processes, manuals, and specifications E-ticketing, Barcoding, RFID and other Sensor Technologies

61 Benefit Cost Analysis Tool From FHWA project: Addressing Challenges and Return on Investment (ROI) for Paperless Project Delivery (e-construction) Inputs: Benefits (dependent on improvement opportunity) Agency s annual construction program Clerical error savings Time savings Etc. Inputs: Costs (dependent on improvement opportunity) Pre-implementation planning consultant COTS software licenses/software maintenance Systems integration services Managed services support Hardware and other technical infrastructure/maintenance/refresh On-site training/web-based training Agency staff cost during project/support system ongoing Systems integration services for upgrade Etc. Calculated Total benefits. Total costs. Net benefits. Cumulative net benefits. Break-even year. ROI based on the selected timeframe (default is seven years). Average annual cost. Average annual net benefits. Results Break-even year (from start of project planning) 7-year ROI (rounded to nearest quarter) Return on Investment Calculation

62 Conclusions and Future Direction

63 There are some technologies that are easier to deploy than others based on market-maturity, cost and availability of resources Conclusions: Digital Inspection Technology Mobility of inspectors is a critical success factor when adopting digital project delivery practices Collaboration is important to optimize funding sources, information management and overall user experience Decision making benefits from digital inspection practices Establishing an enterprise data strategy and framework that aligns with data-centric activities with agency goals will optimize benefits Executive leadership and nurturing a culture of innovation will accelerate technology adoption

64 Tracking market trends, popularity, and lessons learned is a critical success factor Support and training is required for integrating UAS in inspection processes Conclusions: UAS Technology Education and outreach to understand the capabilities, and limitation of UAS technology is another success factor Collaborate with external parties to uncover benefits and value and leave the day-to-day operation and data processing to the SMEs UAS technology is an enterprise solution that improves safety and efficiency

65 Geospatial tools will improve in resolution, accuracy, and capabilities Business procurement models for geospatial tools may evolve to enable enterprise adoption of the technology Cloud computing and SaaS will continue to evolve and be incorporated Infrastructure Building Information Model (BIM) data standards will enable integration of 3D data Virtual and Augmented Reality will mature to assess field safety, train crew workers, and plan/track/validate work activities Emerging Trends and Future Direction

66 Evaluation

67 Questions and Answers / Open Discussion Final research report and technical brief are not yet published. If you have any comments or questions, please contact: Richard Duval: Richard.Duval@dot.gov Alexa Mitchell, PE Jon Gustafson, PS, PMP, GISP Matthew Corrigan: Matthew.Corrigan@dot.gov