How Environmental Technology can Benefit from Big Data

How Environmental Technology can Benefit from Big Data

  • Technology
  • May 30, 2022
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  • 7 minutes read


Why is data increasingly critical to professional environmental technology? In many areas, the analysis of large volumes of data plays an important role, including meteorological and climate monitoring data.

How environmental technology can benefit from massive data

Image credit: OTT HydroMet

Data must be collected, evaluated and archived. To achieve these processes in a reasonable time, the so-called ‘big data systems’ are used more often. However, what does “Big Data” mean? What should be taken into account during implementation and can environmental protection benefit?

What exactly does “Big Data” mean?

“Big Data” generally describes large volumes of data that are too large, too complex, and too fast to process using conventional methods. In turn, the term also refers to all modern computer solutions that are capable of handling large amounts of data.

“Big” in Big Data refers to speed, size, and bandwidth in terms of data volumes. Bandwidth refers to the multitude of data types and sources, while speed indicates the amount of data that can be transferred over a given period.

For example, in environmental technology, complex computer models are the most important basis for a proper analysis of the data output of meteorological sensors, in situ observations and other external data sources.

Why is this issue increasingly important, especially in the field of environmental technology and environmental protection?

Big Data has great potential in environmental protection, with great benefits for other sectors as well, such as finance and logistics. Shipment is a good example of this context: if a shipping vessel leaves its port of origin, the system can predict the time of arrival of the ship and notify the port of destination.

Appropriate preparations could be made at the port of destination so that once the goods arrive, they can be unloaded as quickly and easily as possible.

However, if the estimated time of arrival was delayed, for example, if there was bad weather, this information will be sent directly to the destination port. In this case, a smooth and especially fast process is guaranteed, so that resources such as fuel could be saved.

A typical-sized boat with common dimensions can save more than 150 tons of diesel per hour if it only runs at half.

What opportunities can Big Data bring to the field of environmental technology?

In environmental technology, Big Data solutions can be used to optimize both the acquisition and analysis of important environmental data. Smart weather sensors and modern data acquisition systems can record a range of global environmental data and transfer it in real time to the right places.

For example, precipitation sensors can measure the amount of moisture on the surface of a road. The condition of the road is also closely monitored. If the system makes observations beyond critical values, it immediately sends a warning using intelligent measurement technology; this can significantly improve road safety.

Snow and cloud depth analysis is also an important field of application in meteorology.

How can the protection of the environment and the climate of Big Data benefit?

Smart weather sensors have not only been used for weather forecasts, but also for air, rail and road traffic, where these data are of great importance. Another interesting application in environmental technology is the analysis of air composition.

As a result of intelligent environmental measurement technologies, such as Lufft, data can be generated and stored on the humidity of the air and the pollutants it contains. These systems are also used to measure the climate of the room. They are also being applied more regularly in large cities to determine nitrogen oxide or CO2 content.

Conclusion

Big Data has many advantages. There is great potential for traffic safety. Traffic safety on the roads, as well as in the air and at sea, can be greatly improved by increasing the processing capacity of large volumes of data.

This information has been obtained, revised and adapted from materials provided by OTT HydroMet.

For more information on this source, visit OTT HydroMet.



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