WEATHER
INTRODUCTION
  • The starting point for forecasting weather is monitoring and collecting data. However, traditional methods focus on the simple display of real-time data and usually only at a few locations.
  • Often, the information displayed lacks context, and it is difficult for decision makers to use when managing environmental quality. Mechanical sensors have limitations that are immobile, limited are of coverage, difficult to create weather pattern even for small area of 50 acres of land, remote maintenance is biggest challenge that impacts routine calibration thereby resulting incorrect data and dependence on OEM.
  • Factually, due to low maintenance and less life of sensors, weather stations are generally repurchased every 5 years by government departments.
ATTRIBUTE
Long-term monitoring : -
  • AUM_AWS provides real-time insights alerts and longer-term perspectives on how conditions are changing.
  • High-resolution maps of heat, air quality and water quality could be used by city planners to optimise the quality of life of citizens as the city grows and develops.
  • Armed with detailed, longer-term data, city planners will be able to make decisions for future developments with a clear understanding of the likely implications for the environment.
Cost-effective deployment : -
  • Implementation of AUM for weather monitoring is not complex nor a particularly expensive undertaking.
  • The systems required for analysis is housed in the cloud-based data centers and run on standard, low-cost hardware, which is orders of magnitude lower in price than the hardware of similar accuracy of 5-10 years ago.
  • With AUM, forecasts integrated with real-time monitoring with high-resolution models of air quality has become much easier to deploy for cities, as the costs of cloud-based data storage and processing power needed for fine scale, high-resolution forecasts have decreased exponentially over the last few years.
Generating value from environmental solutions : -
  • AUM creates value in monitoring, modelling and forecasting of environmental information by integrated, interpreted and communicated in real-time in a form that decision makers can use.
  • Government and Solution providers will be able to efficiently drive significant improvements in the quality of life for the cities that they manage.
FEATURES
Features Benefits
Meteorological Measurement

AUM_AWS measures meteorological factors like temperature, humidity, wind parameters (speed , direction, pressure, velocity), precipitation that show how pollutants are transferred from source to recipient.

Flood Monitoring

AUM_AWS will co-relate Dams water levels, Ocean Tides, and Waves height, river water levels and rainfall. This will assist to estimate water logging, flooding and alert the citizen well in advance of upcoming adversity if any. The system will also support for Flood Area Inundation Mapping. At high altitudes avalanche monitoring will also be done. This all correlation will assist to protect citizen and prevent collateral damages.

Sensing Area coverage

Area covered by AUM_AWS is 10mm to 5 Km in radius. The unit can be rotated 3600. Data of air can be collected vertically as well as horizontally at distance of every 100mm to 5km as required. The laser beam travels to the targeted area / source of pollutants. With few nos. of installation complete city can be monitored for pollutants and weather conditions.

Generating Value
AUM_AWS creates value in monitoring, modelling and forecasting of meteorological information by integrated, interpreted and communicated in real-time in a form that decision makers can use.
Government and Solution providers will be able to efficiently drive significant improvements in the quality of life for the cities that they manage.
Economical

Save thousands of dollars over other conventional analyzers and methods by using one integrated Photonic system AUM_AWS. It saves money upfront and during operation because it requires minimal human involvement after the initial set up, other than for data collection and analysis.

APPLICATION
City/ Agriculture / Rural Weather Management - Tower to Tower :-
  • Cellular towers are spread across Goa esp in rural area.
  • 2 cellular towers are installed at a distance of 2 km.
  • A single installation of AUM_Weather on tower can cover monitor weather for 78.5 sq. km of area.
  • The area of coverage is from 100m to 5000m.
  • A complete Rural belt spread across 1000s of acers can be covered.
  • The important crops, apart from paddy, are ragi, maize, jowar, bajra and pulses, cash crops like coconut, cashew-nut, arecanut, mango, jackfruit, banana, pineapple can be largely benefitted by tower to tower monitoring.
  • This will further assist government to determine wet and dry famine in a given area hectare to hectare.
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