Okeanos.TEAL
Whether drought or flood, we make cities climate resilient.
An overview on our expertise
The water-conscious city needs to collect and process environmental data. Through innovative use strategies, existing and newly measured data is combined and enhanced to provide targeted information.
Flood Prediction
Innovative AI-based flood warning within our WAVE module.
Soil Moisture
Recording the urban soil water balance with a minimum of necessary sensors.
Route Planning
API-based route planning and optimization to minimize watering efforts.
Precipitation
Heavy rain and precipitation monitoring with short-term forecasts.
IoT-Sensors
We help you identify the right sensors for your question.
Data platform
Our solutions work with any data platform.
Strategy development
We help you set up your smart city to be climate resilient.
Citizen participation
Low-threshold participation offers for citizens in the area of the environment.
Measure and forecast
The collection of environmental data is a key element of the smart city. With okeanos.teal we professionally processing and combining this data, we upgrade measurement data, for example precipitation, into relevant local information.
City-wide urban soil water balance, precipitation and flood warning
Urban data management plays a crucial role in coping with phenomena such as flooding, heavy rainfall and drought. By integrating a model platform, data from various sources - such as weather stations, satellite images and sensors - can be collected, processed and analyzed. This platform enables the creation of precise forecasting models and risk maps that help urban planners, authorities and the population to take timely action.
Data management includes the storage of historical and current data in a central, accessible database. This can provide real-time information that is essential for early warning systems and emergency measures. At the same time, the model platform enables simulation-based analysis to evaluate future scenarios and develop sustainable urban development strategies. The combination of data-driven technology and urban planning is essential to make cities more resilient to climate extremes.
Route planning
In order to improve the water supply in drought-prone urban areas, an optimal irrigation route is calculated for municipal users. Trees that are particularly susceptible to damage during dry periods are prioritized. Using location data, tree species and climate information, an algorithm is developed that analyzes water demand and suggests efficient irrigation routes. This targeted strategy saves water resources, reduces maintenance costs and ensures the survival of trees in dry periods.
Lot generation
To ensure the efficient irrigation of urban trees, the trees are grouped into irrigation lots. These lots are based on factors such as location, tree species, water requirements and susceptibility to drought. Thanks to the targeted classification, the individual irrigation units can be optimally tendered and awarded to service providers. Automated tendering for this service makes it possible to compare offers efficiently and ensure that the trees are cared for cost-effectively and in line with requirements.
Integrate spatial precipitation forecasts
Okeanos.TEAL is being expanded to include a precipitation forecast in order to optimize irrigation planning. With the help of precise weather data, the expected amount of rain can be calculated and integrated into the irrigation strategy. This allows the water requirements of the trees to be estimated more accurately and the irrigation quantity to be adjusted accordingly. This extension reduces unnecessary water wastage, minimizes costs and improves maintenance efficiency by ensuring that trees are sufficiently watered when there is no rain and that water is saved when there is sufficient rainfall.