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Industrial fires pose significant threats to both human lives and valuable assets. In the modern era, technology has emerged as a powerful ally in combating these fires.
A Resilinc report shows that the number of factory and industry fires in the US increased by 129 percent between 2020 and 2021. These fire accidents occur due to many reasons. These include the presence of flammable liquids and gasses, faulty machinery, electrical hazards, and so on.
Whatever the reason, there’s no doubt that industrial fires can cause damage worth millions of dollars. Not to mention, the fires can also cause severe burns, injuries, and even death.
According to Statista, in 2021 alone, fires in the US led to property loss of around $15.95 billion. A lot of these properties were factories and manufacturing industries, where the loss of valuable resources amounts to the millions.
To avoid such financial losses, as well as protect those working there, industries must deploy advanced fire-suppressing strategies. For that, there’s no alternative to using technology-powered fire detection and suppression methods.
From early detection to advanced suppression methods, technological advancements have transformed how industries tackle the challenge of fire prevention and management. This article explores six innovative ways technology is used to identify and suppress industrial fires, highlighting their potential to save lives and mitigate losses.
Technology-driven fire detection systems have evolved beyond traditional smoke alarms. Infrared and thermal imaging cameras are now utilized to detect temperature anomalies, identifying potential fire outbreaks before they escalate.
These cameras can monitor vast areas in real-time, alerting personnel to abnormal heat patterns that could indicate a fire. Some systems even use AI algorithms to analyze historical data and predict potential fire hazards based on patterns.
The Internet of Things (IoT) has revolutionized fire monitoring by enabling remote sensing and real-time data collection. Industrial facilities are equipped with sensors that can detect changes in temperature, humidity, gas concentrations, and other environmental factors.
IoT sensors transmit data to a central control center, where algorithms analyze the information and generate alerts when abnormal conditions arise. This technology facilitates swift response times, allowing personnel to take action before a fire escalates.
Machine learning algorithms have empowered industries to predict fire risks with greater accuracy. By analyzing historical data and identifying patterns, these algorithms can forecast potential fire outbreaks based on various factors, including temperature, humidity, and equipment performance.
Predictive analytics aids in proactive fire prevention. It also helps industries allocate resources effectively and implement preventive measures in high-risk areas.
Technology has led to the development of advanced automated fire suppression systems that can quickly and effectively combat fires. These systems utilize various methods, such as water mist, foam, and chemical agents, to suppress fires at their inception.
What sets these systems apart is their ability to detect fires and trigger suppression mechanisms without human intervention. This is particularly crucial in high-risk areas where immediate response is essential.
Besides, automated suppression systems also ensure that firefighters are not hurt when trying to deal with the fire. This is especially applicable in cases where toxic firefighting foam is in use, as was the case in the AFFF lawsuit. Studies show that toxic chemicals in Aqueous Film-Forming Foam (AFFF firefighting foam) can cause cancer. This revelation was what led to the AFFF lawsuits filed by the AFFF victims.
According to TorHoerman Law, people exposed to the AFFF foam are at risk of developing cancer. As this foam is used in industrial fires, those attempting to deal with these fires using such foam are at risk of cancer as well.
Thus, instead of people, if automated suppression systems are used, this risk can be avoided. Of course, an even better alternative would be to avoid such firefighting foam in the first place, something that’s currently being ensured across industries.
Innovative fire-resistant materials and coatings have significantly contributed to fire suppression efforts. Industries utilize fire-resistant paints, coatings, and barriers to compartmentalize spaces, limiting the fire’s ability to spread. Besides, fire-resistant fabrics and insulation materials are used to enhance the safety of equipment and structures.
Fire-resistant materials and coatings are vital in preventing fires from spreading. Containing a fire of any sort is always a priority, and these fire-resistant materials help do just that.
According to Grand View Research, the global commercial drone market is worth $19.89 billion. The robotics market is valued at $26.52 billion. As these industries grow bigger, drones and robots are being used for a wider range of purposes. That includes using them for industrial fire suppression.
Drones and robotics have emerged as indispensable tools in identifying and managing industrial fires, especially in hazardous or difficult-to-reach locations. Drones equipped with thermal imaging cameras can fly over industrial sites, detecting heat signatures that may indicate a fire. This technology provides real-time information to responders, aiding in decision-making and resource allocation.
Furthermore, firefighting robots are being developed to enter hazardous environments where human intervention is dangerous. These robots apply suppressants and aid in controlling the fire’s spread.
Fire suppression technology has come a long way. Right now, we’re innovating with newer and more technologically advanced methods to deal with industry fires. The six ways mentioned above are, right now, some of the most popular methods of using tech to prevent and suppress industrial fires.
Going forward, you can expect even more advanced tech, making way for even better prevention and suppression mechanisms.