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CONSTRUCTION ENABLED BY INTERNET OF THINGS

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A TECHNO-MANAGERIAL SEMINAR PRESENTATION

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CONSTRUCTION ENABLED BY INTERNET OF THINGS

  1. 1. 1
  2. 2.  INTRODUCTION  PROBLEMS IN THE CONSTRUCTON INDUSTRY  THREE COMPONENTS  PREFABRICATED CONSTRUCTION  BUILDING INFORMATION MODELLING  MITBIMP  CASE STUDY  CONCLUSION  REFERENCE 2
  3. 3.  The world population is growing at an alarming rate, apparently increasing the demand for shelter in terms of houses, public utility centres, industries etc.  Increasing demand has led to the development of smarter and innovative technologies.  Computer Aided Design has completely took control over the designing process, which has led to the development of cutting edge technologies.  Building Information Modelling enabled with Internet of things is one such technology which has created a revolution in theArchitecture Enggineeering and Construction( AEC) industry, enabling the smartest quickest and sustainable development of projects. 3
  4. 4.  30% of projects do not meet original program or budget  92% of clients said that the designers drawing are typically not sufficient for construction  37% of materials used in construction site becomes waste  10% of the cost of a project is typically due to change orders  38% of carbon emissions are from buildings not cars  Severe dust pollution  Less availability of labours Source: CMMA Industry Economiic Magazine 4
  5. 5. PREFABRICATION BUILDING INFORMATION MODELLING INTERNET OF THINGS 5
  6. 6.  Practice of manufacturing the components of a structure in a factory and transporting complete or semi-complete assemblies to the construction site .  enables the fastest development of construction projects in the most economical and sustainable way. 6
  7. 7. Prefabricated modular construction 7
  8. 8. ASSEMBLING OF THE MODULAR UNITS Industrial production units 8
  9. 9.  Quick development of projects.  Less amount of space required.  Lesser amount of waste generation.  Lesser traffic congestion.  Energy conservation.  Better quality control due to industrialised production.  Less amount of pollution due to dust and noise than in- situ construction.  Less amount of labours.  Less amount of scaffoldings are required. 9
  10. 10. MINI SKY CITY 57 STOREY BUILDING BUILT IN 19 DAYS CENTRAL CHINA 10 INSATACON CONSTRUCTED IN 48 HRS IN MOHALI INDIA (10 STORIES)
  11. 11.  It is an accurate virtual model of a building is digitally constructed.  It helps to visualize what is to be built in a simulated environment to identify any potential design, construction, or operational issues.  plays an important role in supporting prefabrication- based construction due to its powerful management of physical and functional digital presentations. 11
  12. 12.  Better and effective communication with stakeholders regarding goals and requirements of a project.  Better depiction of reality using model makes easier to understand and see the consequences of decisions that are made in pre-construction phase.  Reduced number of change orders, conflict and request for information.  Clash detection of different systems at design stage.  Error less, reliable and coordinated design and drawings.  Construction site can be effectively managed using visualization.  Crane location and operation can be visualized early.  Logistic organization can be planned better. 12
  13. 13. Light analysis using BIM Wind Analysis usin BIM 13
  14. 14. detection of clashes 14
  15. 15.  Data collection from prefabrication manufacturing to on- site construction uses paper-based manual operations, thus captured data are prone to be incomplete, inaccurate and inadequate.  Information sharing between different parties is confined due to the adoption of traditional methods of communication such as e-mail, phone calls and fax. Lost information, ineffective communication and risk aversion are common in construction project.  Delay in the procurement of real time information such as the status of pre-cast components, delivery progress, and the location of components due to manual input operations so that gaps among involved parties exist, casing poor visibility and traceability. 15
  16. 16.  Adding new features into BIM we can make it into a multidimensional system, the other dimensions being time, cost or any other such additional information.  Internet of Things, with Radio Frequency Identification (RFID) is used to facilitate supply chain management, safety management, facility management and activity monitoring.  Laser scanning has been proposed for collecting geometric and spatial data for BIM.  Sensors for temperature, force, and positioning have also been used to collect real time information for better construction. 16
  17. 17.  Multidimensional BIM platform came into picture when the conventional BIM was largely disconnected from the real life physical building throughout the life cycle.  Manually updating information in a BIM in line with the physical building process has been found to be interruptive, tedious time consuming and error prone.  A conceptual frame work has been developed for information sharing with the help of Internet of Things. 17
  18. 18. 18
  19. 19. I. Prefabrication production services II. Prefabrication logistic services III. Prefabricated on site assembly services 19
  20. 20. Production Planning Service The purpose is to select and translate a set of to- be-fabricated components from BIM software into a required format for prefabrication firms and to generate standardized production orders. Production scheduling service The purpose of the production scheduling service is for schedulers/supervisors in prefabrication firms to decide who is to do what with which module. It uses Hybrid Flow Shop or Job-Shop scheduling models. 20
  21. 21. Internal logistic service The purpose of internal logistic service is to arrange materials and facilities for prefabrication production. It uses graphic based algorithms to work out optimal solutions. Based on the data, supervisors can clearly monitor the inventory and make decision on whether certain material needs to be topped up and how much should be purchased. Production Execution Service The purpose of production execution service is for facilitating and executing production process. Key users are operators and planners. 21
  22. 22.  Responsible for managing and controlling prefabrication logistics from production sites to the final destination.  They use special algorithms to achieve this task, enabling the BIM to track the progress of prefabricated components moving between the casting yards and the site. 22
  23. 23. Transportation planning and scheduling service Helps to make optimal decisions related to the delivery of precast components. Once the precast components are finished, the prefabrication production service will trigger the logistics tasks, which are synchronized with BIM. Real time transportation monitoring service Tracks the current status and location of prefabricated components throughout the logistics and supply chain by using RFID and GPS technologies 23
  24. 24. Responsible for the various operations associated with the assembly of prefabricated components in the site. Real time supervision service To monitor the status of workers, machines and materials on the construction sites. It provides a n-dimensions virtual presentation of the current status of project and enables all the stake holders to take timely decisions. Data feedback service Report the current on site situation to different involved parties and other interested associations. 24
  25. 25.  A real-life case study from a prefabrication- based construction project in Hong Kong is used to demonstrate the necessity and usefulness of the developed MITBIMP. Difficulties in implementing such a system in the case project are also discussed. 25
  26. 26.  It was unclear how to pass the design information to the manufacturers without any ambiguity.  Extremely difficult for both the client and suppliers/manufactures to handle the ordering information automatically.  Embedding design information into the prefabrication components for further use was also a challenge  Components might be mistakenly delivered to other construction sites causing a serious delay to the project.  Decision-making in prefabrication manufacturing was based on untimed and inaccurate data, and rule of thumb. Communication was carried out by traditional means, such as phone and fax. 26
  27. 27.  The system was redesigned based on the requirements to automatically collect information, be compatible with existing systems, and provide cloud services.  The data required by the factory and those exchanged with other stakeholders has become more accurate and reliable.  The ability of responding to design and job plan changes are much stronger.  The management of the factory has become more efficient due to real-time information sharing.  Construction resources are optimized as a result of decision making based on real time data from the production sites.  Cross-border logistics has also been improved. 27
  28. 28.  Reduction in 48.3% of paper work  Producction lifecycle enhaned by 40%  Assembly time improved by 6.67%  Time costs on locating and order picking improved by 31.25% DIFFICULTIES:  Lack of network in tunnels  RFID tags getting damaged  Replacement of defective components 28
  29. 29.  In order to keep pace with the ever-growing construction industry we need most advanced, efficient, smarter and sustainable methodology of construction, prefabricated construction enabled by Internet of Things is one such technology  The Building Information Modelling enabled by Internet of Things helped to achieve real-time visibility and traceability of the construction projects by creating a smart construction environment  By integrating industrial standards and using Big date analysis we can further improve the efficiency  Therefore we can conclude that prefabricated construction enabled by Internet of Things is a technology for the future and an area of potential research 29
  30. 30.  1.Chen K, Lu W, Peng Y , S Rowlinson , Huang G Q, “Bridging BIM and building: From a literature review to an integrated conceptual framework”, International Journal of Project Management (2015).  Lee J H , Song J H , Oh K S, Ning Gu,” Information lifecycle management with RFID for material control on construction sites”, Advanced Engineering Informatics 27 (2013) 108–119  Yuhan Niu, Weisheng Lu, Ke Chen, George G. Huang, and Chimay Anumba, “Smart Construction Objects” , Journal of Computing in Civil Engineering, ASCE, ISSN 0887-3801 (2015).  Zhong R Y, Peng Y, Xue F , Fang J , Zou W , Luo H, S. Thomas N, Lu W, Geoffrey Q.P. Shen, George Q.H, “Prefabricated construction enabled by the Internet-of-Things”, Automation in Construction 76 (2017) 59–70 30

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