IoT or the Internet of Things is used effectively leveraging environmental monitoring. Integration of IoT-connected technology helps the stakeholders use dynamic and controlled innovative solutions that remotely monitor and control industrial processes. IoT environmental sensors deployed at various locations enable collecting data without any need for human intervention effectively. IoT technology can implement innovative and practical solutions to track, detect, and mitigate environmental challenges with IoT technology. The sensor-based devices help identify the presence of pollutants in the air, water, and land, and using the data insights, and it becomes easier to promote sustainability.
IoT based environmental monitoring is gaining much recognition in recent times. It plays a vital role in improving the alarmingly degrading environment quality. With the help of IoT, one can adopt a data-driven approach and gather actionable insights that give way to predictive outcomes. Unlike traditional environmental monitoring solutions, IoT devices help to keep a real-time check on the surrounding. The process of monitoring, measuring, and cataloguing data is becoming more streamlined and effective.
Since the environment is heterogeneous, it is crucial to utilize the IoT system well. Hence, it is not enough to systematically develop one protocol-based system to work across all situations. The environmental monitoring system must provide an in-depth understanding of the ecological aspects of physical buildings and work areas. There are four essential components to IoT-based ecological monitoring.
Monitoring The Building Environment
For the IoT-based environmental monitoring solution, data is at its core. The solution must gather accurate and measurable data. To collect performance or operational data, you must outfit the building environment with IoT sensors. Top sensors used in the environment include:
- Temperature sensors
- Proximity sensors
- Water quality sensors (to measure pH, BOD, COD, and other microbial contaminants)
- Gas sensors (to detect air quality conditions)
- Smoke sensors
These sensors will help remotely collect data and transmit the information to systems that organize and catalogue this data.
Measuring The Data
Data analytics help to derive insights from the collected data. Cloud-based analytics help to measure the data collected by sensors. It assigns real-world value to the data to successfully derive insights. The physical world yields analogue data, which must be converted into digital data that can travel across the network and gets stored in the cloud for analysis.
Cataloguing The Data
Once the data is mined, it must be catalogued to assign context. IoT device helps to align data points, to understand the relationship between variables. Data cataloguing involves an intense ‘datafication’ process to build insights.
Performing Data Analysis for gaining Insights
The entire gathering, processing, analyzing, and IoT devices facilitate building insights. The advanced analytics solution helps put perspective and context to data. The proper context and perspective that surrounds your information assists in forecasting and mitigating risks. The more data points you can capture, the better you can understand the data relationships and incorporate them to boost decision-making.
To Conclude:
These are the four essential components of IoT based environmental monitoring. These components combine to gather data and perform analytics to facilitate ecological monitoring and conserve energy, water and other resources.