SBIR/STTR Research Award

SBIR Phase II: Prototyping Internet of Things (IoT) Sensing Platform for Infrastructure Monitoring

Award identifier bb72dbcc149eb322ccceefa31ac2e227295561f5f2a30517afddb63f42178580Awarding agency National Science Foundation

Award amount

$999,910

Program and phase

SBIR · Phase II

Award year

2024

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
WAVE LOGIX, INC.
Proposal award date
2024-09-01
Contract end date
2026-08-31
UEI
HZ17E6BSWLM3
Solicitation number
NSF 23-516
Topic code
I

Research abstract

The broader impact/commercial potential of this SBIR Phase II project is to deploy a novel concrete strength sensing technology to provide smart solutions to construction industry. This groundbreaking technology will transform construction industry by enabling faster, data-driven decisions through real-time data of concrete strength monitoring. Short-term, this technology will allow accelerated project timelines and eliminate costly quality control errors. Long term, this technology will leverage the power of big data to enable data-driven decision making and optimization of concrete mix design which will drastically reduce carbon footprint, eliminate wastes, and lead to more durable concrete infrastructures. By leveraging AI and big data analysis of the vast amount of structural health data collected, the project paves the way for the development of AI-powered solutions for predictive maintenance and improved construction practices. The proposed project will focus on developing the market ready Internet-of-Things (IoT) concrete sensing system that addresses the challenge of using antiquated testing methods in construction industry, often leading to schedule delays and costs overrun. Built on the success of Phase I project, this program will develop a complete solution for scaling up productions. A systematic hardware production and quality control procedure will be established, key parameters for a reproducible production line will be determined, and instrumentation errors will be minimized. Concurrently, a scalable cloud backend will be developed, capable of serving tens of thousands of dataloggers while ensuring data security and low latency. The machine learning algorithm will be further refined to provide fast and accurate strength inferences. A full-scale production and stress testing of the sensor system in real-life conditions will also be conducted to evaluate the robustness and user experience. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

2 SBIR/STTR records share this UEI (2022–2024). Reported award amounts total $1,255,906. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: National Science Foundation

Agency intelligence

National Science Foundation

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