Industrial plant leak detection uses IoT-enabled sensors to detect leaks in manufacturing facilities’ systems to identify, manage, and prevent environmental pollution, as well as to ensure worker safety and to reduce the costs associated with leaks, like loss of product or system damage.
Industrial plant leaks are responsible for some of the greatest industrial disasters in history, including the Bhopal disaster, a toxic leak that resulted in the deaths of more than 7,000 within the first three days, and has been responsible for the health problems of more than 500,000 more.
Preventing and identifying leaks like these can be an extremely labor-intensive and costly process, requiring regular rotations of employees to manually inspect and monitor system performance and environment. IoT-enabled industrial plant leak detection systems automate that process by constantly monitoring for leaks and sending immediate alerts in cases of unexpected readings.
Leak detection systems allow companies to identify leaks before they become dangerous, managing their cleanup and preventing environmental pollution and life-threatening conditions. Ari Goldfarb, CEO of leak detection system Kando, claimed that the use of Kando reduced the cost of treating pollution by 40 percent for its users in its first year of use.
Through the use of infrared lasers, chemical leak detection systems can detect invisible chemical gas leakages in real-time and use machine learning techniques to develop insights on pollutant spread.