sustainable smart districts
tracking and locating
Climate change and the location of large urban centres in low lying areas globally, raises the risk of flooding of infrastructure and possible loss of human life. GullySpy has been specifically designed to provide insight and early warning indications of flood risks. Enabled through low energy wide area networks, GullySpy provides flood risk security – securing property and people.
GullySpy is a ruggedized Gully overflow and water level sensor that has been designed for assured operation in Public Gullies and water traps. Deployed for extended periods of time (8 years), with no maintenance, GullySpy provides the “remote” monitoring capability for Gullies, a critical part of any City or Enterprise Campus water management programme.
Coupled with the GullySpy alert and notification Service, forward deployed operational teams have full 24/7 operational visibility across a city. SMS, email and integration into the latest messaging platforms (e.g. slack) are supported.
10 km Range
danalto offer a range of Smart District solutions such as Air Quality, Citizen Insight(Footfall), River Level and others depending on the area of focus for the Smart District. Please get in touch to find out more and how you can start on your Smart District journey today.
Air Quality is a key issue concerning the health and wellbeing of citizens as the population of cities increases worldwide. Granular data on the quality of air down to district, neighbourhood and street level allows stakeholders to quantify the positive impact that environmentally friendly initiatives are having e.g. bike friendly district where diesel cars have been restricted.
Data regarding the movement of citizens around smart districts allow for better understanding of how and when roads, green areas and construction should be planned and carried out in the best interest of the district. This is achieved by measuring footfall, bicycle and vehicle activity in close to real time. Reporting data frequently across a variety of locations allows for profile mapping at a district, neighbourhood and at a street level.
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