MTS proposition for Yakutsk: An eco-monitoring answer
Revamped Reading:
introduces the "Proactive Environmental Risk Management System," a cutting-edge piece of software from MTS Ecomonitoring. This domestic innovation, with AI analytics and machine learning, aims to proactively monitor air and water quality. The system forecasts potential environmental hazards up to 48 hours in advance!
As part of MTS' operations, the company has been granted a license for soil and water environmental monitoring, making it the first operator to do so. The service is also in the process of being included in the Ministry of Industry and Trade's Register of AI Solutions.
The system harnesses Big Data analytics and mathematical calculations. It merges advanced scientific models, like MPRZ, WRF/FLEXPART, and GFS/FLEXPART, already proven effective in practice for decades. It relies on data from measuring equipment, pollutant emission sources, and global environmental information. The solution can accommodate a variety of monitoring equipment, tailored to client needs. For instance, air monitoring stations track gas and particle concentrations, temperature, pressure, humidity, wind speed, and direction. Water monitoring analytical buoys measure oxygen levels, pH, salinity, turbidity, oil product contamination, ammonium ion activity, and water levels (including river flooding). The system is compatible with most Russian manufacturers of measuring equipment.
The Yakutia region was one of the pioneers in implementing MTS' digital ecomonitoring solutions. For resource-rich Yakutia, this project is invaluable. It provides accurate data on environmental impact and helps prevent emergencies, ensuring business and government sectors remain informed and protected. The director of MTS in Yakutia, Prokopy Neustruev, confirmed ongoing testing and plans for scale expansion.
From a broader perspective, AI technologies can improve environmental monitoring and risk management significantly. Some anticipated key features of such systems include real-time monitoring, AI analytics, risk identification, prevention, cost-saving, and efficient integration with existing infrastructure. While the specific details of MTS' system are yet to be disclosed, these general features underscore the potential benefits AI systems can bring to the table.
- The Proactive Environmental Risk Management System, a progression in environmental-science technology from MTS Ecomonitoring, incorporates artificial-intelligence analytics and machine learning to proactively monitor air and water quality, predicting potential climate-change hazards up to 48 hours in advance.
- This innovative system employs Big Data analytics and mathematical calculations, merging advanced scientific models like MPRZ, WRF/FLEXPART, and GFS/FLEXPART, which have demonstrated effectiveness in environmental monitoring for several decades.
- As AI technologies continue to evolve, they are expected to significantly enhance environmental monitoring and risk management, delivering real-time monitoring, AI analytics, risk identification, prevention, cost-saving, and seamless integration with existing infrastructure – developments like the Proactive Environmental Risk Management System promise to revolutionize our approach to climate-change and environmental-science solution.
