Automated and Robotic Inspection of Flood Control Systems | W81EWF 22 SOI 0032

Frequently Asked Questions (FAQs): Automated and Robotic Inspection of Flood Control Systems (ERDC / DoD)

1) What is the title of this grant opportunity?

The opportunity is titled "Automated and Robotic Inspection of Flood Control Systems".

2) Which agency is offering this funding?

The funding is offered by the Department of Defense through the U.S. Army Engineer Research and Development Center (ERDC).

3) What is the Funding Opportunity Number (FON)?

The Funding Opportunity Number is W81EWF 22 SOI 0032.

4) What type of award is this?

This opportunity is structured as a cooperative agreement.

5) How many awards are expected?

The posting indicates an expected single award.

6) What is the maximum award amount?

The listed award ceiling is $2,500,000.

7) When was the opportunity posted and when did it close?

The posting was created on June 22, 2022, and the original closing date was August 22, 2022.

8) What is the CFDA number associated with this opportunity?

The CFDA number is 12.630.

9) Who is eligible to apply?

Eligibility is broadly described as "Others", with additional clarification referenced in the full announcement.

10) What problem is ERDC trying to solve with this program?

ERDC is aiming to modernize how levees and related flood control structures are inspected. Traditional approaches are described as slow, labor-intensive, expensive, and potentially risky for personnel. The agency wants to shift toward automated inspection approaches using robotic platforms and artificial intelligence to improve the speed, cost, accuracy, and safety of inspections.

11) Why is levee inspection such a challenge right now?

The national levee inventory is large and still incomplete. The National Levee Database contains more than 24,000 miles of levees, and additional levees have not been fully inventoried. Many levee systems also have sparse engineering documentation and limited instrumentation, meaning condition evaluations and risk assessments often rely heavily on physical inspections.

12) What failure modes does the opportunity emphasize?

The opportunity highlights erosion and overtopping as the most critical levee failure modes to identify and manage. Slope stability is described as less commonly the controlling risk driver.

13) Why is erosion difficult to detect with conventional inspections?

The announcement notes two related issues: (1) erosion can be hard to observe when there is no flood event, and (2) during floods, water can hide important indicators, making traditional inspection less effective precisely when information is most needed.

14) What kinds of baseline data do inspections need to collect (beyond obvious defects)?

Inspections are expected to gather baseline data used in assessment workflows, including:

• Vegetation type and density
• Locations of discontinuities
• Visible damage
• Levee geometry

The opportunity notes that collecting this information with conventional field methods can require substantial time and labor.

15) What is the second major technical focus area besides levee surface inspection?

A second major focus is the inspection of culverts and other embedded or adjacent structures along levee alignments, because these locations can show early indicators of developing failure modes.

16) Why are culverts specifically important to inspect?

The announcement explains that soil-structure interfaces can become pathways for concentrated leak erosion. Because culverts can be weak points, finding early signs of problems in and around them is important for preventing future failures.

17) What makes culvert inspections difficult today?

The opportunity describes multiple issues:

• Culvert inspections are costly and slow.
• The locations of culverts within levee systems are not always known or well documented.
• Even when robotic camera systems are used, the resulting video is typically reviewed by humans, which creates a time and cost bottleneck.

18) What culvert sizes are mentioned as commonly inspected with robotic camera systems?

The announcement notes culverts in roughly the 3-inch to 6-foot diameter range are frequently inspected using robotic camera systems.

19) What is the agency seeking to improve about culvert inspection?

The agency is seeking faster and more affordable ways to (1) collect culvert inspection data and (2) interpret that data, particularly to detect signs that point to future failures rather than only obvious current defects.

20) What is the overall technical approach encouraged by the opportunity?

The anticipated work is framed around implementing automated inspection technologies for levees and flood control structures by combining robotics and artificial intelligence.

21) What are the stated goals of the program?

The stated goals are to:

• Increase inspection accuracy
• Reduce inspection time and cost
• Improve safety by limiting the need for personnel to perform certain tasks manually

22) What work is expected in the first year?

In the first year, the agency expects two primary lines of effort:

• Rapid culvert inspection
• Rapid data gathering to support levee risk assessment

23) Does the opportunity suggest the work could expand beyond year one?

Yes. The notice indicates that additional applications may be pursued in follow-on years if more funding becomes available, suggesting the initial effort could expand into a broader suite of automated inspection capabilities over time.

24) What deliverables are explicitly required?

The awardee is expected to provide:

• All datasets used in the research
• A final report in electronic format

25) Are there requirements related to reproducibility and transition to government use?

Yes. Deliverables are tied to reproducibility and transition, including providing datasets and producing outputs intended to be used by government personnel.

26) Are there constraints on where algorithms must run?

Yes. Any algorithms developed must be able to run on U.S. Army Corps of Engineers (USACE) computational resources so government personnel can access and use them.

27) Are there cybersecurity or compliance requirements for hardware and software?

Yes. Any inspection hardware or software must comply with USACE and Army cybersecurity requirements. The announcement specifically emphasizes this point for unmanned aerial vehicles (UAVs) if they are included in the proposed solution.

28) Does the opportunity require real-world demonstration or field validation?

Yes. The work is expected to be demonstrated using data provided by the government or data collected at government-coordinated sites. This signals field validation and real-world demonstration are central expectations, not purely theoretical development.

29) Is this opportunity focused only on finding obvious defects?

No. The opportunity emphasizes improving the ability to detect signs that may indicate developing failure modes and to collect baseline data needed for broader assessment and risk workflows, not just documenting obvious current defects.

30) What inspection methods is the agency trying to move away from?

The opportunity describes current methods as slow and labor-intensive, relying heavily on physical inspection and human review. The agency is pushing toward automation through robotics and AI to reduce cost, time, and risk while improving the quality of inspection outputs.