WiForWater is an advanced land monitoring system that includes the acquisition of meteorological, hydraulic and soil information for the purpose of study and alert. Through the installation of meteo stations and a series of detectors, which reveal in real time the hydrometric regime of the water-course under investigation, WiForWater elaborates data and gives to the user, on his own PC, Smartphone or Tablet, the necessary information for water management and evaluation of potential risk situations.
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In the pond will be installed:
- meteo stations that measure and send data to the web platform where the processing software is located;
- level sensors to know the hydrometric regime of the watercourse and to carry out water balance studies;
- cameras for visual supervision of certain potentially dangerous situations.
Each user has the opportunity to access, through a personal account, in a reserved web area where he can check in real time the received data from detectors and he can be notified with a sms/e-mail if any predetermined critical conditions have been reached.
Cost reduction compared to any costs of design,
construction and maintenance of protection structures.
Optimization of
the resources compared to the use of punctual and outdated warning and alert systems; the use of latest-cheap-miniaturized technology allows significant savingso.
Qualitative and
quantitative: the use of a monitoring system integrated with weather and hydrometric sensors, ensures a reduction in the number of false alarms and optimization of the alert notice thanks to a greater space-time.
Limited
environmental impact it uses latest-cheap-miniaturized technology that require little power and a wireless telecommunication network.
Access to real-time hydro-meteorological data.
Historical data’s archiving and exports in tabular form.
Data visualization trough simple graphics.
Optional wireless modules in the pond.
Definition of hydro-meteorological alert thresholds.
Night&Day visual monitoring of the waterway by HD cameras.
Implementation of risk prediction models.
Energetically self-sufficient.
Possibly setting alerts via sms/e-mail.
Less cabling, low landscape impact.
Tools for R&D.
Possibility to create ad hoc customizations.