verticale

Il progetto europeo INTCATCH. Sistema innovativo monitoraggio dei corpi idrici superficiali mediante droni acquatici.

Sistema innovativo monitoraggio dei corpi idrici superficiali mediante droni acquatici e la condivisione dei dati ed il supporto alle decisioni. Il caso del lago di Garda.

(in lingua inglese)
Sensors Deployed right place right time: effective decision making and management of local ‘diffuse’ pollution.
Robotics for water monitoring. Autonomous boats.
System Architecture and sensors.Integrated sampling system e Test deployment in fishing lake.
INTCATCH project, The goals of INTCATCH.
The WAIS architecture.

Scarica il PDF Scarica il PDF
Aggiungi ai preferiti Aggiungi ai preferiti


Atti di convegni o presentazioni contenenti case history
ACQUARIA ottobre 2017 Industria 4.0 e Ambiente: nuove soluzioni per gestione del territorio e qualità ambientale

Pubblicato
da Benedetta Rampini
ACQUARIA 2017Segui aziendaSegui




Settori: 

Parole chiave: 


Estratto del testo
Veronafiere 18-19 ottobre 2017 Gli atti dei convegni e pi di 8.000 contenuti su www.verticale.net Cogenerazione Termotecnica Industriale Pompe di Calore 27 ottobre Cogenerazione Termotecnica Industriale Pompe di Calore Alimentare Alimentare Petrolchimico Alimentare 28 ottobre Alimentare Petrolchimico Alimentare Alimentare Petrolchimico Visione e Tracciabilit 28 ottobre Luce Energia Domotica LED Luce Energia Domotica LED H 2O H 2O This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 689341 SMART BOATS FOR WATER MONITORING WITHIN THE INTCATCH PROJECT Alessandro Farinelli Computer Science Department, University of Verona. H 2 O H 2O WHY ROBOTIC BOATS ' Sensors Deployed right place right time: effective decision
making and management of local 'diffuse' pollution ' Data captured by local stakeholders Citizen Science 2 EC day2 EC day 1 H 2 O H 2O ROBOTICS FOR WATER MONITORING HydroNet ARC boats NUSwan Platypus ' Large, expensive ' small, low-cost ' Community engagement H 2 O H 2O GOAL WITHIN INTCATCH ARC boats Platypus 1. Integration of advanced WQ technologies ' Ph, DO, EC, ISA (spectrometer) ' Genomic, integrated sampling 2. Data stream to Water Information System
and DSS 3. Reliable control (Platypus) ' high level instructions ' non-technical users 4. Validation of data collection strategies ' Lake Garda (IT), Urban rivers in
London (UK), Great Ouse (UK), Lake
Yliki (GR), River Ter (ES). H 2 O H 2O AUTONOMOUS BOATS in water propellers airboat ' Low-cost ' Autonomous ' Long-endurance ' Easy to deploy H 2 O H 2O 6 Non expert users, ensure good data quality WHY AUTONOMY boat Go beyond line of sight H 2 O H 2O SYSTEM ARCHITECTURE ' The boat can be controlled by a
wi-fi connected tablet or a radio
controller ' The user can define a path on
the tablet that the boat follows,
navigating autonomously ' Different sensors to measure
electrical conductivity,
temperature, and dissolved
oxygen H 2 O H 2O SENSORS DO pH EC ISA
(SAC-254, NO3 eq, TOCeq, DOC eq, CODeq, TSSeq, Turbeq) Basic
sensor
kit Additional
sensors Chlorophyll-a Turbidity H 2 O H 2O USER INTERFACE AND PATH CREATION The tablet app generates a spiral path to collect data in the area H 2 O H 2O DATA VISUALIZATION: MAP OVERLAY Dense geo-localized data for the different parameters
Thanks to Lega Navale Italiana (Sez. Garda) H 2 O H 2O INTEGRATED SAMPLING SYSTEM Weight sampling device: 3 kg (water filled 5 kg)
Jars: four, 500 mL each Sample based on data: ' parameter above a given threshold ' significant change of parameter ' near a GPS positoin ' remote command ' various combinations of above conditions H 2 O H 2O TEST DEPLOYMENT IN FISHING LAKE 12 Pre-defined path loaded to the system
Four hours in complete autonomy (one battery
switch)
Thanks to Atlandide Fishing H 2 O H 2O DEPLOYMENT IN RIVER TER (URBAN AREA) 13 RC Autonomy Overall path length: about 1.3 km
Flow was about 1m/s
Thanks to UVIC team! H 2 O H 2O DEPLOYMENT IN LAKE GARDA H 2 O H 2O We are working on a system for collision avoidance based on visual data only ENHANCING AUTONOMY H2O H2O Development and application of Novel, Integrated Tools for monitoring and managing Catchments This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 689341 Il progetto europeo INTCATCH. Lo sviluppo di un sistema innovativo per il monitoraggio dei corpi idrici superficiali mediante droni acquatici, la condivisione dei dati ed il supporto alle decisioni. Il caso del lago di Garda. Giselle T. Menel Lemos1, Antonio Gozzi1, Aldo Bettinetti1, Elisa Jeradi1 , Maurizio Di Donato1, Alessandro Tittonel1 19 Ottobre 2017, 13:45 18-19 Ottobre 2017 - Veronafiere - Centro Congressi "Palaexpo" www.expoacquaria.com 1 Technital S.p.A H 2O H2O What is INTCATCH' ' 'Development and application of Novel, INtegrated Tools for monitoring and managing CATCHments' ' 20 partners from Europe (Universities, research institutes, SMEs, large companies, Regional and Water authorities and NGOs) ' 4 demonstration sites: urban London and rural Great Ouse rivers (UK), Lake Garda (Italy), Lake Yliki (Greece) and in River Ter (Spain) ' www.intcatch.eu
H 2O H2O The goals of INTCATCH ' instigate a novel approach to monitoring and management of rivers and lakes water quality ' develop efficient, user friendly water monitoring strategies and systems based on innovative technologies ' improve performances and effectiveness of monitoring ' reduce current monitoring costs 3 H 2O H2O Autonomous and radio control ed boats Innovative sensors Decision Support System Water Information System New technologies for CSO waters treatment Numerical model of Garda lake H 2O H2O 5 INTCATCH PARADIGM H 2O H2O 6 ' WAIS, is a data management system designed to meet the data gathering, storing and distribution requirements of the INTCATCH domain. ' to give a common interface to all the data ' to make the water quality information accessible to the end- users ' to allow complex queries to retrieve meaningful information from the large volume of stored data ' to provide support for the development of applications

WATER INFORMATION SYSTEM H 2O H2O 7 THE WAIS ARCHITECTURE H 2O H2O 8 Mobile app ' for visualization of results (env agencies or authorities) ' To optimize the monitoring ' For catchment managment WAIS Cloud System Web application DSS ' Warnings/alerts ' Visualizations of results ' 'on field' input of data H 2O H2O INTCATCH Decision Support System objectives ' Analyze the current water quality situation to detect anomalies ' Identify the potential origin of pol ution ' Target monitoring (which parameters and in which areas) (empower investigative monitoring) ' To assess the impact of different intervention scenarios

9 H 2O H2O 10 System Schematisation DSS Pre - processing Monitored data Water quality (physical ' chemical data) Hydraulic data Meteo historical data Post-processing DSS DPSIR processing Water quality model [Garda Lake] WAIS database local database FEWS-DSS Data visualisation:
' Area of potential risks ' Model output (vel, temperature, concentrations, ..) ' Points, areas and parameters to be controlled INPUT BASIC DATA
' Schematisation of the environmental system ' sub catchment\cel division 1 Data import and storing in DSS database 2 3 4 5 6 7 8 Data from drones External data: meteo forecast Citizen observations DPSIR module WAQ module H 2O H2O Decision Support System schemac ' FEWS operational platform ' Water quality module [numerical model of Garda Lake] ' DPSIR module 1. Catchment schematisation
2. Pressure ' state correlation
3. Set of rules 11 H 2O H2O FEWS operational platform - GUI 12 H 2O H2O 13 Execute tasks (running simulations, import of data, .. Data visualisation Plots, maps visualisation Main GUI interface H 2O H2O DPSIR module schema H 2O H2O 17 THE DSS AND GARDA LAKE WATER QUALITY MODEL H 2O H2O 3D Model In-situ observations Remote sensing Real World HYDRODYNAMIC AND WATER QUALITY MODEL OF GARDA LAKE H 2O H2O MODEL DEPTHS Maximum depth 350m Maximum depth 90 m Surface 368 km Coast length 165 km max length 52 km max width 16.7 km max depth 350 m Mean depth 133 m Water Volume 50 km Altitude 65 m msl Mincio mean Q 58 m/sec Renewal time 27 years Catchment surface 2260 km LAKE NUMBERS HYDRODYNAMIC MODEL OF GARDA LAKE H 2O H2O MODEL SCHEMATISATION ' Curvilinear staggered grid: 295 x 124 cel s Grid resolution 250 m ' Z-layer vertical discretization: 40 layers Grid resolution 60120 m HYDRODYNAMIC MODEL OF GARDA LAKE A A' H 2O H2O MODEL FORCING Boundary conditions:
' Inflow, Temperature at Sarca River ' Water level, Temperature at Mincio River Space-time varying forcing: Meteorological forcing (COSMOI2, every hour):
' Air temperature ' Air pressure ' Relative humidity ' Cloud cover ' Wind intensity ' Wind direction ' Solar radiations Time varying forcing:
' Rivers ' Discharges ' CSOs' wind field Morning ' Pelr wind Afternoon ' Ora wind HYDRODYNAMIC MODEL OF GARDA LAKE H 2O H2O Current velocity HYDRODYNAMIC MODEL OF GARDA LAKE H 2O H2O Current velocity - cross section Wind Downwelling Upwelling HYDRODYNAMIC MODEL OF GARDA LAKE H 2O H2O Water temperature Calibration results H 2O H2O Lake water temperature Water temperature Point-14 HYDRODYNAMIC MODEL OF GARDA LAKE Validation results H 2O H2O Preliminary results Fosso Dugale CSO ' Vil a Bagatta CSO ' Vil a Bagatta Fosso Dugale H 2O H2O Preliminary results CSO ' Vil a Bagatta Fosso Val Sorda T. Toscolano CSO ' Brancolino Drogue experiments Best monitoring area H 2O H2O MODEL APPLICATIONS ' Simulating pol ution event phenomena ' Understanding the water quality trends in the lake ' Analyze the current water quality state ' Analyze future scenarios ' Providing inputs to the DSS
And furthermore'

' Understanding 3D physical phenomena (e.g. upwellings, stratification and mixing) ' Provide information on the water quality state of the lake. ' Public Dissemination of information H2O H2O This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 689341 THANK YOU! Gisel e T. Menel Lemos1, Antonio Gozzi1, Aldo Bettinetti1, Elisa Jeradi1, Maurizio Di Donato1, Alessandro Tittonel1
1 Technital S.p.A,

Document Outline

1_parte_II_ConvegnoAIAT_Tittonel_Technital.pdf Diapositiva numero 1 What is INTCATCH' The goals of INTCATCH Diapositiva numero 4 Diapositiva numero 5 Diapositiva numero 6 Diapositiva numero 7 Diapositiva numero 8 INTCATCH Decision Support System objectives Diapositiva numero 10 Decision Support System schemac FEWS operational platform - GUI Diapositiva numero 13 DPSIR module schema Diapositiva numero 17 Diapositiva numero 18 Diapositiva numero 19 Diapositiva numero 20 Diapositiva numero 21 Diapositiva numero 22 Diapositiva numero 23 Diapositiva numero 24 Diapositiva numero 25 Diapositiva numero 26 Diapositiva numero 27 Diapositiva numero 28 THANK YOU!


In evidenza

ExxonMobil
Grassi Mobil™ - Formulati per fornire elevate prestazioni anche in condizioni operative estreme
SD Project
SPAC : Il Software per la progettazione Elettrica
2G Italia
Cogenerazione e trigenerazione dal leader tecnologico mondiale
select * from VERT_CONTENUTI as con left join VERT_UTENTI_AZIENDE as azi on con.iduteazienda = azi.iduteazienda where testataurl like '%%' or eventourl like '%'%' or testataurl like '%'eiomfiere.it%' or eventourl like '%'eiomfiere.it'%'
Array ( ) Array ( [0] => Array ( [0] => 42000 [SQLSTATE] => 42000 [1] => 102 [code] => 102 [2] => [Microsoft][ODBC Driver 13 for SQL Server][SQL Server]Incorrect syntax near 'eiomfiere'. [message] => [Microsoft][ODBC Driver 13 for SQL Server][SQL Server]Incorrect syntax near 'eiomfiere'. ) [1] => Array ( [0] => 01000 [SQLSTATE] => 01000 [1] => 16954 [code] => 16954 [2] => [Microsoft][ODBC Driver 13 for SQL Server][SQL Server]Executing SQL directly; no cursor. [message] => [Microsoft][ODBC Driver 13 for SQL Server][SQL Server]Executing SQL directly; no cursor. ) )
© Eiom - All rights Reserved     P.IVA 00850640186