Проект в городе презентация

Слайд 2

https://www.stormsensor.io/products/
NETWORKED SCUTE™ SENSORS
Ultrasonic depth sensor
Ultrasonic doppler velocity sensor
Wireless data transmission

every 5 minutes via machineQ’s LoRa network
TERRAPIN™ CLOUD-BASED SOFTWARE
Map and time-series data views
Correlated real-time weather data
Real-time alerts for flow events affecting your system
Real-time tracking of battery life and connectivity
Unlimited logins: make sharing easy by providing administrative or read-only access to an unlimited number of partners

Leader position. Several cases and review

https://www.stormsensor.io/products/ NETWORKED SCUTE™ SENSORS Ultrasonic depth sensor Ultrasonic doppler velocity sensor Wireless data

Слайд 3

https://www.hydroscan.eu/en/flood4cast/

Flood4Cast® MASTER PLANNER allows the flood susceptibility of a province, city or municipality

to be identified up to tens of times more rapidly than is possible using conventional modelling software.
This integrated ‘water in the street’ modelling features ingenious pre-processing based on existing GIS maps, and very short model build-up and calculation times. Calibrations with other models or simplifications are no longer necessary.

Flood4Cast® REAL-TIME ALERTER combines real-time VMM-KMI rainfall radar data with pre-processed flood maps and translates this data into real-time flood predictions at street level.
Integration with existing sensors and rain gauges for even higher accuracy.

Risky, low quantity of cases

https://www.hydroscan.eu/en/flood4cast/ Flood4Cast® MASTER PLANNER allows the flood susceptibility of a province, city or

Слайд 4

https://www.digital-water.city/solution/low-cost-temperature-sensors-for-real-time-combined-sewer-overflow-cso-and-flood-monitoring/

This solution provides a simple and robust method for CSO detection. It reduces

CAPEX and OPEX for CSO monitoring and allows utilities to monitor their network extensively. The implementation of artificial intelligence (AI) algorithms improves measurement accuracy and provides tailor-made optimal operational strategies for each case-catchment. The solution can be deployed offline or online. The offline version can quantify the CSO occurrence and duration, and roughly estimate the volume discharged in a CSO event. In addition, online sensors can remotely provide real-time overflow information through Lorawan/2G communication protocols. The technology can be especially useful to improve the accuracy of hydrodynamic sewer modelling by providing high spatial and temporal distribution of reliable data.

Several cases, low quantity of information

https://www.digital-water.city/solution/low-cost-temperature-sensors-for-real-time-combined-sewer-overflow-cso-and-flood-monitoring/ This solution provides a simple and robust method for CSO detection. It

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