Framework for Maintaining Water Treatment Plants Using 3D Laser Scanning

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1 Framework for Maintaining Water Treatment Plants Using 3D Laser Scanning Prof. Mohamed Mahdy Marzouk Professor of Construction Engineering and Management Cairo University Nov 19, 2018

2 AGENDA Part 1: Building Information Modeling Concepts Part 2: Laser Scanning Part 3: Proposed Framework 2

3 Part 1: Building Information Modeling Concepts 3

4 BIM: An Overview Building information modeling (BIM) Approach for efficient coordinated design, construction, and facilities management. Digital representation of the building Facilitate the exchange and interoperability of information in digital format. Working in a fully collaborative three dimensions (3D) environment on a shared platform From planning phase towards designing, constructing, operating, maintaining, and even demolition. Facilitates incorporating physical and functional characteristics within a confined model. Cost effectiveness and error omitting, life cycle improvement, quality of the design through massively visualization allowing early mature decisions, reduced field changes Dr. M.Marzouk 4

5 BIM: An Overview Dr. M.Marzouk 5

6 BIM: An Overview zz Dr. M.Marzouk 6

7 Planning Owners Client Representatives Lawyers & Insurers Investors Bankers Accountants Design Architects Project Managers Structural and Civil Engineers MEP and HVAC Consultants Construction Contractors Sub Contractors Suppliers Manufacturers and Fabricators BIM is about making information I available to all project parties/stakeholders throughout the entire project life. Operations/ Facility Managers Property Managers Maintenance Contractors Tenants Users 9

8 BIM Workflow 10

9 Project Lifecycle Phases Design Increased understanding of the client s requirements through visualisation improved spatial coordination delivering fully coordinated design optimised solutions and value engineering scenario testing, including cost and programme impact analysis pre construction test simulation performance analysis enhanced carbon analysis clearer understanding of design change implications life cycle design and costing analysis consistent design information Source: Turner & Townsend BIM Global handbook 11

10 Project Lifecycle Phases Construction clear understanding of change implications time optimisation / logistics reduction in post contract design revisions enhanced coordination effective resource utilization waste reduction / resource efficiency Source: Turner & Townsend BIM Global handbook 12

11 Project Lifecycle Phases Operational Computer aided facilities management (CAFM) for ongoing asset management whole life data capture understanding of the asset enabling efficient hard and soft facilities management complete definition of the asset for operational purposes reuse of the model for future alterations complete record and communication of hazards Source: Turner & Townsend BIM Global handbook 13

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13 Dr. M.Marzouk 16

14 Part 2: Laser Scanning 17

15 BIM for Existing Facilities How??? via Laser Scanning It s the process of collecting data of a real world object or environment shape and appearance (i.e. color) with which digital three dimensional models is constructed. Dr. M.Marzouk 18

16 Laser Scanning process Accuracy, Speed, and Integration Point Cloud 2D / 3D CAD Integrated Design 19

17 3D Laser Scanning 20

18 Part 3: Proposed Framework 21

19 WTPs In Egypt Statement No of Population Served 53 million person 96 million person The design capacity of 20 million m3/day 34 million m3/day the WTP Amount of productive water (Average annual) No on Water Treatment Plants (WTP) 13.5 million m3/day (4.6 Billion m3/year) 112 Large Surface water station 339 Small Surface water station 112 Ground water station 15 desalination station Total no of station : 1005 station 25 million m3/day (9.1 Billion m3/year) 227Large Surface water station 830 Small Surface water station 1610 Ground water station 48 desalination station Total no of station : 2715 station Lengthsofdistributionnetworks km km 22 (HCWW,2017)

20 Maintenance of WTPs In Egypt Water Production in Egypt in 2017 about 25 million m 3 /day, meaning that water consumption per capita 298 lit/ day. Due to population growth and urban development in Egypt from 2005 to 2017 and the all of currently challenges which the Arab Republic of Egypt facing it as a shortage in the amount of Nile water( surface water), it has become necessary to preserve the water drops from the source to the consumer. 23

21 Research Methodology The main objective of this research is to develop approach for an effective risk-based maintenance assessment of Water Treatment Plant (WTP) in Egypt. To achieve this objective, the following research methodology is adopted: 1. Identify the Risk Factors 2. Risk Analysis by Fault Tree 3. Maintenance Model 24

22 WTP Risk Factors General Factor Design Related Factor factors Electro-mechanical Related Factor Resource Related Factor Operation Related Factor Weather Related Factor

23 Questionnaire Form No Factor Description 1 Type of water treatment plant(wtp) 2 Population no. General Factors Is the type of water treatment plant (surface ground desalination water) effect on maintenance of the WTP projects? Is population no. of city location effect on maintenance of the WTP projects? Degree of Effectiveness L LM M MH H Area services 4 Location of WTP Is area services in terms of the way of water supply (networks or tanks) effect on maintenance of the WTP projects? Is location effect on maintenance of the WTP projects? 5 Safety requirement L = Low = 0 1 LM = Low Medium = 1 2 M = Medium = 2 3 MH = Medium High = 3 4 H = High = 4 5 Is safety requirement effect on maintenance of the WTP projects? 26

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25 Failure Probability of all Minimal Cut Sets (MCSs) MCSs Failure Probability of MCSs (FP) MCS1 (B1-1)υ(B1 2)υ(B1 3) MCS2 (B2-1)υ(B2-2)υ(B2-3)υ(B2-4) MCS3 (B3-1)υ(B3-2)υ(MCS9) MCS4 (B4-1)υ(MCS10) MCS5 (B5-1)υ(B5-2)υ(B5-3) MCS6 (B6-1)υ(B6-2)υ(MCS11) MCS7 (B7-1)υ(B7-2) MCS8 (B8-1)υ(MCS12) MCS9 (B3-3-1)υ(B3-3-2)υ(B3-3-3) MCS10 (B4-2-1)υ(B4-2-2)υ(B4-2-3) MCS11 (B6-3-1)υ(B6-3-2)υ(B6-3-3) MCS12 (B8-2-1)υ(B8-2-2)υ(B8-2-3)υ(B8-24)υ(B8-2-5)υ(B8-2-6) TOP EVENT PROBABILITY (TE)

26 Results 33 basic events which lead to 12 minimal cut sets were selected to analyze the reasons of the failure for the water treatment plants (TE). The occurrence probability of TE is 15.6% per year. After ranking all risks the most critical risk based on the probabilities of basic events is failure of electricity system (MCS8) which have high probability (0.037) with high impact in occurrence of failure of WTP. 29

27 Case Study 30

28 Steps of work Stage 1: Planning Stage 2: 3D laser scanning of the site. Stage 3: preparing of the High Density Point Cloud (HDPC) & Built the Maintenance Model. 31

29 Thank You 32