Data gathering and analysis have become a standard business practice across multiple industries. While most of the time, organizations use it to find and address inefficiencies, it’s also a useful safety tool. Data can play a central role in reducing risks like wildfires.
Wildfires have ravaged countrysides and nearby communities throughout 2020. Earlier this year, fires covered 65,000 square miles of the Australian bush, and in July, flames engulfed Siberia. Now wildfires rage across the Western U.S., emphasizing the severity of these events.
Thankfully, local organizations and governments can use data to help prevent and fight these fires.
Preventing Equipment-Related Wildfire Hazards
Industrial giant Siemens recently announced a data-based strategy to mitigate wildfire risks in some of their equipment. Things like utility lines and circuit breakers can be a fire hazard in some environments. By monitoring these pieces of equipment, companies can reduce these risks as much as possible.
IoT sensors inside a circuit breaker can alert workers if they detect an issue. Workers can then respond and fix the problem before it becomes severe enough to start a fire. Factories already use this kind of maintenance to extend machine life, but in these situations, it can save lives.
Data analysis can also show companies when conditions may be more conducive to a wildfire. When sensors detect factors like heat, dryness and increased electrical activity, they can warn nearby employees. That way, organizations can be ready to address any emergencies that arise.
Understanding High-Risk Situations
Data can also help researchers and companies understand the conditions that produce wildfires. Just as data reporting can reveal inefficiencies in the workplace, it can reveal hazards in wildfire-prone areas. These readings will help governments and local organizations manage their wildfire prevention strategies.
Some facilities may need to take extra precautions that they don’t know about. For example, most workplaces need a yearly fire safety inspection, but some, like often-crowded buildings, need them more frequently. Data could reveal that a facility is in a position where it should have more regular checks.
There are likely some fire-related risks that researchers have yet to uncover. When researchers can look at a more comprehensive data set, they can find new connections. These insights will then fuel improved safety measures.
Evaluating Wildfire Response Strategies
Data analysis doesn’t just reveal new potential safety strategies but can measure their efficacy. As organizations put new fire mitigation policies in place, they can continue to monitor them. The results from this continued analysis will show how effective these new policies are.
Data takes the guesswork out of hazard prevention. By using it to evaluate safety strategies, researchers can find which practices are most effective. Organizations could implement a variety of approaches and measure their efficacy to find the best solution faster.
A strategy’s effectiveness likely varies depending on the specific situation. Broader data analysis can reveal which practices work best for different circumstances, helping everyone maximize their fire safety. When different areas can address their unique situation better, wildfire safety as a whole will improve.
Data Analysis Makes the World a Safer Place
Most conversations around data analysis focus on its applications in business, but it has potential beyond that. If enough researchers and organizations in disaster-prone areas turned to data, they could substantially reduce risks. Without data analysis, it would be far more challenging to address the wildfire issue.
Data-based approaches to fire safety will take a while to produce results, but they work. The business world has proved how effective these strategies can be at addressing complex issues. With enough adoption, data analysis could make the world at large a safer place.
