DAM FAILURES IN MIDLAND, MICHIGAN – WHEN A DISASTER HITS, WILL YOU BE PREPARED?

  • 15 Jan 2024
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When disaster strikes, we are all at risk! But the unprepared ones get hit the hardest.

The Edenville Dam collapsed and the Sanford Dam was breached in Midland, Michigan on last Tuesday (May 19) after days of heavy rain. In the midst of the Coronavirus pandemic, residents were ordered to evacuate because of rising waters. The collapsed Edenville Dam, built-in 1924, was rated in unsatisfactory condition while the Sanford Dam, which was built in 1925, was given a fair condition rating by the state.

Are other dams safe in the US?

On average, the nation’s dams are over 50 years old. At least 1,680 dams across the U.S. are currently rated in poor or unsatisfactory condition. These all pose potential risk according to this Associated Press article. Without urgent action, aging dams may not be able to adequately handle the intense rainfall and floods of a changing climate, as happened in the case of the Michigan dams. They may fail to protect people and property in cities and towns located nearby and downstream.

Introducing SMART DAMS

QUAKELOGIC is the only company using a cloud-based, AI-powered technology platform to perform continuous, autonomous structural assessments using data from sensors on the dam structure.

Deploying the QuakeLogic’s SENSOR DATA MANAGEMENT, ASSESSMENT, AND REPOSITORY TECHNOLOGY (SMART) on dams would significantly reduce needed search and inspection efforts in future events.

The SMART integrates manually and digitally read sensor recordings into a fully-automated unified monitoring system. It facilitates the acquisition and analysis of critical sensor data needed by the dam operators for proper operations and maintenance, and most importantly for the safety assessment of the dam.

The SMART helps to collect, organize, and evaluates sensor data routinely, sends immediate notifications upon exceedance of thresholds, and generate PDF reports regularly and on-demand.

The SMART is a cutting-edge system works with various types of sensors such as accelerometers, tiltmeters, potentiometers, strain gauges, thermocouples, weather stations, piezometers and seepage monitors. Comprehensive analytic information is visible in real-time on the mobile-friendly dashboard, providing proof and peace of mind that a dam is performing as expected.

In addition to SMART, our proprietary earthquake early warning (EEW) alerts provide a window of opportunity for action before earthquake shaking begins at the site. It can also trigger automated actions such as opening spillways, closing roads, etc. when every second counts.

Easy-to-understand, engineering-quality information about the real-time health of the dam supports operators to make informed decisions. Whether planning maintenance activities, or prioritizing critical response actions, QUAKELOGIC has you covered.

“Dams are vital in all communities. As we move toward recovery from COVID-19, it’s important to support the resiliency of dams by realtime monitoring and ensure that the dam owners have the support, tools, and resources to outsmart disasters.”

EVACUATE OR NOT—A DILEMMA OF HOSPITALS AFTER AN EARTHQUAKE AND HOW CAN ARTIFICIAL INTELLIGENCE HELP?

  • 15 Jan 2024
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After a strong shaking, hospitals may face pressing challenges including whether to utilize or evacuate structures, restore interrupted operations and repair damaged facilities or equipment. Accurate information is immediately needed to make rapid and informed decisions to make staff, patients and their structure safer. 

In the aftermath of an earthquake, one of the most challenging decisions for hospitals to make is whether to evacuate patients and staff or stay in operation and admit injured people. This decision-making process is of paramount importance because damaged structures may endanger the lives of patients and staff, and liabilities may occur due to the wrong decision to utilize the hospital. Conversely, unnecessary evacuation due to the uninformed decision may create significant stress by putting patients and staff at risk. The loss of revenue arises by stopping or interrupting medical operations and services. 

Post-earthquake inspection of hospital buildings is also a time-consuming process due to the architectural and structural complexity of hospital buildings. 

In recent years, Artificial Intelligence (AI) has become a hot and frontier research direction in numerous fields in science and engineering. The development of machine learning algorithms and big data has brought revolutionary changes in our lives. QuakeLogic is the only company providing cloud-based AI-powered disaster risk management solutions to prevent and reduce human and economic losses risen during and after earthquakes

Our cutting-edge technology platform performs real-time autonomous structural assessments using sensor data and sends rapid notifications after an event with the level of shaking intensity and whether structural integrity is compromised. For instance, for hospitals, we provide meaningful and easy-to-understand information immediately after an earthquake. This timely and critical information helps the hospital’s management to plan their role in making the staff, patients and their structure safer. This information also expedites post-earthquake inspections for the rapid recovery of medical operations and services.

Our mission is to ensure peace of mind for people in health care who dedicated to saving lives after disasters.