Statistical and correlation analysis of IoT-enabled smart ecosentinel data to foster Environmental Awareness

In today's rapidly evolving technological world, collecting and analyzing the environmental data has become crucial for ensuring safety and informed decision-making. By analyzing the collected data, people can better plan, manage risks, and respond proactively to changing conditions. Our work aims to provide a comprehensive system for monitoring and analyzing diverse ecological conditions to support land investment and construction decisions. Our innovative system closely observes the environmental conditions in a given area to ensure overall safety and well-being. By deploying ecosentinel, which is an array of sensors, diverse ecological conditions encompassing sound, temperature and gas levels are meticulously monitored. This comprehensive data is then securely stored within the cloud infrastructure, where it undergoes rigorous analysis utilizing historical records for visualization. Through continuous sensor data uploads to the cloud, a well-structured analysis is periodically conducted, presenting the information in a visually accessible manner. To gain valuable insights from the data recorded over a month, a statistical and correlation analysis is conducted. This analysis is essential to understand the relationships and patterns within the recorded values, which can help in making informed decisions and identifying any significant trends or anomalies in that specific area. Sound, temperature, and gas sensors have maximum coverage of 20 m, 10 m, and 50 m respectively, based on sensitivity, environment, and placement. The system offers real-time snapshots and predictive insights into environmental conditions. It highlights significant trends and correlations, aiding in proactive decision-making and risk assessment for investments and construction projects. Ecosentinel empowers users to evaluate pollution levels and forecast environmental scenarios without extensive research or site visits. It is a valuable tool for individuals and organizations aiming for informed and sustainable planning in the region. Ensuring the accuracy and reliability of the system’s alerts and insights, particularly in the face of dynamic and unpredictable environmental conditions remains a complex task.