MIQroTech develops the mIQroAware™ system, which utilizes AI and IoT technologies to monitor pipeline integrity by analyzing parameters such as corrosion, human error, and earth movement at a rate of up to 42 times per second. This technology enables early leak detection and predictive maintenance, significantly reducing the risk of pipeline failures and associated costs.
Funding
$10.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Pipeline leaks and failures pose significant environmental and economic risks, often stemming from corrosion, human error, component failure, and earth movement. Traditional pipeline monitoring methods can be inadequate for detecting these issues early, leading to costly repairs, environmental damage, and safety hazards.
Solution
MIQroTech's mIQroAware™ system provides real-time pipeline integrity monitoring through a combination of sensors, IoT technology, and AI-driven analytics. The system monitors key parameters associated with pipeline health, such as corrosion rates, acoustic signatures, and GPS-detected earth movement, at a high frequency. By analyzing this data, mIQroAware™ enables early leak detection and predictive maintenance, allowing operators to proactively address potential problems before they escalate into major incidents. Customizable dashboards provide instant reporting and insights, facilitating faster and more strategic decision-making.
Target Audience
The primary target audience includes oil and gas pipeline operators seeking to improve pipeline safety, reduce operational costs, and minimize environmental impact through advanced monitoring and predictive maintenance.
Features
- Patented sensor technology for monitoring internal and external corrosion with accuracy down to 0.2mm of loss annually
- Detection of human errors such as overpressure events, overheat, and unauthorized digs through continuous monitoring of operational variables
- Prediction of component failures by analyzing data related to weld integrity, acoustic shock, and other potential failure indicators
- Real-time alerts for earth movement events like earthquakes, land slippage, and ground settling
- Continuous monitoring of safety systems to prevent leaks associated with hot-tapping and pigging operations
- Customizable dashboards for instant reporting and data visualization
- Secure data transmission and storage with multiple firewalls to prevent data breaches