Engineering - CSM 2017 September, 2017 — Zurich, Switzerland Artificial Intelligence applied to the reduction of environmental impact in the construction of High Speed Rail infrastructures Manuel Parra (speaker) [email protected] Distributed Computational Intelligence and Time Series Lab Soft Computing and Intelligent Information Systems Department of Computer Science and Artificial Intelligence University of Granada (Spain) ! M. Galende, F. Barrientos, L. Pablos, A. Moral, J. Rodríguez, F. Campo, R. Carnerero, G.I. Sainz-Palmero, J.M. Benítez Manuel Parra — University of Granada LIFE12 ENV/ES/000686
Engineering - CSM 2017 September, 2017 — Zurich, Switzerland “LCA, Environmental Footprints and Intelligent Analysis for the Rail Infrastructure Construction Sector” www.life-huellas.eu LIFE12 ENV/ES/000686 cartif.com vias.es ik-ingenieria.com dicits.ugr.es Manuel Parra — University of Granada Civil Engineering Technology Environmental Engineering Artificial Intelligence In charge of
Engineering - CSM 2017 September, 2017 — Zurich, Switzerland Distributed Computational Intelligence and Time Series Lab (DiCITSlab) Soft Computing and Intelligent Information Systems (SCI2S) Department of Computer Science and Artificial Intelligence (DECSAI) University of Granada (Spain) DiCITSlab Distributed Computational Intelligence and Time Series Lab Manuel Parra — University of Granada
Engineering - CSM 2017 September, 2017 — Zurich, Switzerland The main objective is to design a decision support tool to reduce environmental impacts of the HSR construction, applying Artificial Intelligence techniques: ! • Reduce Carbon footprint by 5% ! • Reduce Water footprint by 10% Objectives Manuel Parra — University of Granada
Engineering - CSM 2017 September, 2017 — Zurich, Switzerland Manuel Parra — University of Granada many parts elements machinery materials dependencies employees tunnelling machine operations tasks
Engineering - CSM 2017 September, 2017 — Zurich, Switzerland Infrastructure Earth movements Drainages Demolition Structures Tunnel Restoration of roads Enclosures Signalling Environmental integration Superstructure Refurbishment Material transport Ballast Track assembly Leveling Adjusments Weld 30 5 4 19 9 3 2 2 7 1 5 1 4 2 3 2 Name of operation # Tasks Part Manuel Parra — University of Granada Build Process From the land to the completed construction
Engineering - CSM 2017 September, 2017 — Zurich, Switzerland Very high environmental impact Construction process and maintenance HSR infrastructure What is the problem with the environment and HSR infrastructures? Manuel Parra — University of Granada
Engineering - CSM 2017 September, 2017 — Zurich, Switzerland Acidification Eutrophication Water waste Photochemical ozone creation potential CO2 (Not only, construction process: also manufacturing process [materials/resources]) Manuel Parra — University of Granada
Engineering - CSM 2017 September, 2017 — Zurich, Switzerland Artificial Intelligence to reduce Environmental Impact HSR infrastructures Manuel Parra — University of Granada
Engineering - CSM 2017 September, 2017 — Zurich, Switzerland (MOEA) Multi Objective Evolutive Algorithms Genetic Algorithm Decision making environment for the HSR construction with AI Manuel Parra — University of Granada
Engineering - CSM 2017 September, 2017 — Zurich, Switzerland Op1 Op2 Op3 Op4 Clearance Embankment Tunnel Embankment time,mode time,mode time,mode time,mode time, mode: resource1, resource2, resource3, … time, mode: resource1, resource2, resource3, … time, mode: resource1, resource2, resource3, … time, mode: resource1, resource2, resource3, … Venta de Baños Segmentos o puntos kilométricos Desmonte Relleno Tunel Desmonte Relleno Desm Clearance Embankment Tunnel Embankment Filling Kilometre points Terrain profile Terrain profile Operations and execution modes Manuel Parra — University of Granada Iidentify the operations Playing with the terrain Conversion process
Engineering - CSM 2017 September, 2017 — Zurich, Switzerland https://atolon.ugr.es:8080/ High Speed Rail Infrastructure modelling tool http://www.life-huellas.eu/ Manuel Parra — University of Granada To apply AI and Evolutive Models we have created a
Engineering - CSM 2017 September, 2017 — Zurich, Switzerland High Speed Rail Infrastructure modelling tool Manuel Parra — University of Granada Algorithms can take a long time to run. When the experiment is finished, it returns the results
Engineering - CSM 2017 September, 2017 — Zurich, Switzerland High Speed Rail Infrastructure modelling tool Environmental footprints of each solution generated Export Manuel Parra — University of Granada The complete construction plan
Engineering - CSM 2017 September, 2017 — Zurich, Switzerland High Speed Rail Infrastructure modelling tool Detailed environmental footprints Manuel Parra — University of Granada
Engineering - CSM 2017 September, 2017 — Zurich, Switzerland ‣ Tested in HSR projects finished. ‣ Tested in HSR projects in progress. ‣ Used/Validated by construction companies to reduce their environmental indicators on new projects. Manuel Parra — University of Granada Results have been validated in real works in Spain and in EU vias.es Civil Engineering
Engineering - CSM 2017 September, 2017 — Zurich, Switzerland ‣Reduction of environmental impact in HSR infrastructures ‣Development of an Artificial Intelligence tool based on Evolutive algorithms ‣Tested in real scenarios ‣Reached a reduction of Water and CO2 footprint impacts Conclusions Manuel Parra — University of Granada