Calamity prevention

Some calamities are preventable

Many calamities are preventable through intelligent precautionary actions. Fires for instance, often result from alterations in equipment or the environment, and these changes can sometimes be detected days, weeks, or even months ahead of time.

What is our experience?

After a fire, businesses face major financial strain from fixed costs like rent and salaries, even as they rebuild. During this time, customers often seek alternatives and competitors don’t wait. While smoke detectors are essential in alerting us to fires, proactive prevention is the optimal route. Experience Data was part of a project with a large insurer, where we did the data science behind it, using IoT sensors to forecast potential fire threats. This expertise is can be translated into many areas of calamity prevention.

How does the project work?

Leveraging machine learning and precision sensors, we’ve crafted a robust model to detect appliance failures and pre-empt potential fires. After testing in three diverse environments, sensors—strategically placed in high-risk areas like kitchens—feed data to our machine learning models. These models then identify anomalies and potential threats. Owners are immediately alerted on their phones regarding any sensor discrepancies. By integrating temperature, airflow, and grid data, our work on this project offers a comprehensive solution to safeguard your space from fire hazards.

How can this knowledge be translated?

Our work on the project is very interdisciplinary, for instance in catering, the focus is on hazards like extraction systems and ovens. For livestock farmers, it’s feeding machines and barn fans. The more complex it sounds, the more we like it! We enjoy the challenge in solving complex problems that benefit the world and we are proud to translate the knowledge from this project with IoT sensors and translate it in other fields!

We’re eager to hear your data question!

Promise, we won’t have Chat GPT come up with the answer