This project involved building a Django-based web application to monitor structural health in real-time. The application served as a centralized platform where users could view and analyze sensor data from various infrastructure points, such as bridges, dams, and tunnels. The key challenge was to design a system that could handle continuous data streams while providing a user-friendly interface for non-technical users.
The application featured real-time data visualization, statistical analysis tools, and an alert system that notified users when sensor readings exceeded predefined thresholds. By integrating the Django backend with front-end JavaScript libraries like Chart.js, I was able to create dynamic, interactive dashboards that provided users with up-to-date insights into the structural integrity of their assets. The system also allowed for customizable alert settings, enabling users to define their own parameters for critical notifications.
This solution is cross-compatible, ensuring that users can access the monitoring system from both desktop and mobile devices. The ability to receive real-time notifications enhances the efficiency of the monitoring process, allowing for quicker response times in case of potential structural failures. This project showcases the importance of accessible, real-time data in maintaining and ensuring the safety of critical infrastructure.