BIM for Smart Engineering Centre
Jointly established by Cardiff University, Dalian University of Technology, China Communications Construction Company
Jointly established by Cardiff University, Dalian University of Technology, China Communications Construction Company

Optimisation of scientific cloud computing infrastructure for BIM

This is a fundamental scientific computing infrastructure development.

Effective collaboration and systems integration play a vital role in achieving better productivity in Architecture, Engineering and Construction (AEC) industry. The fragmented characteristic of AEC industry makes it very difficult to fully benefit from applying the recent advanced ICT developments, like what automobile and airplane industries have succeeded in collaborative and integrated design and manufacturing. The Building Information Modelling (BIM) and Cloud Computing have the potential to revolutionarily overcome the above mentioned problems, and the efficient distributed data management is the very important element for successful collaboration and integration in AEC industry.

OptiCloud - Optimizations have been applied in many different engineering fields. Most of these applications may have similar characteristics: intensive on computing resources, time-consuming on calculation iterations, similar on computing environments and so on. This paper describes a generic cloud platform for engineering optimization by leveraging the compute resources hosted in cloud datacenters. The methodology developed was to decompose the engineering optimization processes into several interconnected sub-tasks, which were further converted and implemented as virtual applications for dynamic cloud deployment using OpenStack. The system can dynamically allocate and recycle the compute resources according to the specific engineering optimization applications. The research presented in the paper contributes on the generic engineering optimization process virtualization and cloud computing based implementation with innovative algorithms development. The system test results showed a way that potentially engineering optimization problems could be embedded into the put forward platform due to the developed large scale and intelligent cloud based optimization services. Further applications for building energy simulation and optimization, stents optimization, water distribution optimization are currently under development.

Eco-ShangHai - Big Data Processing for Eco-ShangHai Development, 2014 - 16, Total value: ¥1.0 M RMB

The research will target at the development of an advanced, large scale information modelling framework dedicated to building energy saving and optimization, applied in China built environment, supported by open BIM Cloud platform (for construction). The research development will be able to further streamline the complex construction industry processes, it will serve as an independent (solely owned IP) generic platform, on which a set of innovative approaches, including intelligent energy monitoring, prediction and optimization, will be further developed to support large scale public buildings / infrastructures (including new built, refurbishment and operational stages) energy saving. By utilizing big data mining, high performance computing, a holistic and intelligent energy saving solution, including energy monitoring, consumption, optimization and combination with renewable resources, for buildings / districts, and even the entire city, will be ultimately developed and scaled up to the entire industry.

BIM Cloud Storage: The objective of this project is to develop a governance model for data generated during the lifecycle of an Architecture, Engineering and Construction (AEC) project to be securely shared via a Cloud computing system. Whereas Cloud computing generally provides the ability to outsource computational and data storage capability, along with support for external application hosting, it has rarely been used to support coordination between people involved in a collaborative project, taking account of an industry specific process. The process will be based on BIM (Building Information Model) and data stored by each participant will conform to the BIM data model. The project will explore: (a) data sharing and interoperability using a multi-vendor Cloud environment; (b) process interoperability based on various stakeholders involved in the AEC project lifecycle. The outcome will be validated in real business conditions by an industry end user, KTP / TSB UK, 2013-15

Parallel & Distributed optimization engines -

Finite Element Analysis for structure analysis and design - realized a new HPC oriented computing framework (sponsored by China National Science Foundation (CNSF) - China National Program on Key Basic Research - Large Scale Scientific Computing) focusing on parallel finite element analysis supported large scale engineering design and optimization, about 100,000 lines of codes were developed, integrated and tested. PCs cluster based computing infrastructure equipped with computing resource monitoring, load balancing, data communication and object oriented parallel / distributed algorithms for Finite Element Analysis and Genetic Algorithm (GA) based optimization was utilized to provide network based computing services for gravity wharf structural design and optimization.

EnergyPlus & Simulink / ANN & surrogate engines for building / district / city holistic energy management / decision making

Relevant publications:

  1. Li H, Rezgui Y, Rana O, Cloud computing and distributed data management in the AEC – Architecture, Engineering and Construction industry, Advanced Engineering Informatics, DOI: 10.1016/j.aei.2013.04.002, 2013,
  2. Li Z, Li H, Wang X, Li K, A Generic Cloud Platform for Engineering Optimization Based on OpenStack, Advances in Engineering Software, Impact Factor: 1.523, 2014, DOI:10.1016/j.advengsoft.2014.05.001,
  3. Petri I, Li H, Rezgui Y, Yang C, Yuce B, Jayan B, A HPC based cloud model for real time energy optimization, Enterprise Information Systems, Impact Factor: 9.2 (the world No1 computer science journals in 2012 JCR Science Edition report), 2014 (sponsored by SportE2 EU FP7 project),
  4. Petri I, Li H, Rezgui Y, Yang, B. Yuce, B, Jayan B, A Modular optimization model for reducing energy consumption in large scale building facilities, Renewable & Sustainable Energy Reviews, Impact Factor: 6.6 (sponsored by SportE2 EU FP7 project),
  5. Yang C, Li H, Rezgui Y, Petri I, Yuce B; Chen B, Jayan B, High Throughput Computing based Distributed Genetic Algorithm for Building Energy Consumption Optimization, Energy and Buildings, IF: 3.2, DOI: 10.1016/j.enbuild.2014.02.053, 2014 (sponsored by SportE2 EU FP7 project),
  6. Yuce B, Li H, Rezgui Y, Petri I, Jayan B, Yang C, An Indoor Swimming Pool Case Study: Utilizing Artificial Neural Network Prediction to Achieve Better Energy Saving and Comfort Level, Energy and Buildings, IF: 3.2, 2014 (sponsored by SportE2 EU FP7 project),
  7. Jaya B, Li H, Rezgui Y, An ontological approach to intelligent energy management in districts, EG-ICE 2014, Cardiff
  8. Petri I, Li H, Rezgui Y, Parallel computing for supporting complex energy simulation and optimisation, Sustainable Design and Manufacturing 2014, Cardiff
  9. Ioan Petri, Omer Rana, Javier Diaz-Montes, Mengsong Zou, Tom Beach, Haijiang Li and Yacine Rezgui, In-transit Data Analysis and Distribution in a Multi-Cloud Environment using CometCloud, The International Workshop on Energy Management for Sustainable Internet-of-Things and Cloud Computing, Barcelona, Spain, 27-29 August 2014
  10. Ioan Petri1, Omer Rana3, Yacine Rezgui1, Haijiang Li, Cloud based Building Data Analytics, 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2014, USA
  11. Li H, Rezgui Y, Holistic approach for optimum building energy management, EG-ICE, 2013, Vienna, Austria
  12. Li H, Pieter de Wilde, Yaqub Rafiq, A methodology of using High Power Computing for building energy simulation, EG-ICE 2011, The Netherland, (2011)
  13. Rezgui Y, Wilson I, Li H, Promoting sustainability awareness thought energy engaged virtual communities of construction stakeholders, 11th IFIP Conference on Virtual Enterprises, PRO-VE 2010, France, DOI: 10.1007/978-3-642-15961-9_16
  14. Li H, Rezgui Y, Miles JC, Wilson I, Low carbon ontology development using information retrieval techniques, 8th European Conference on product and Process Modelling, Cork, Ireland, 2010 , (2010), DOI: 10.1201/b10527-37
  15. Li H, Research on cluster-based parallel finite element analysis, Chinese Journal of Computational Mechanics, 2007, DOI:10.7511/jslx20071022, ISSN 1007-4708
  16. Li H, Yang G, Yi NG, Object orientated serial/ parallel finite element analysis system, Chinese Journal of Computational Mechanics , 2006, DOI:10.7511/jslx20065110, ISSN 1007-4708
  17. Li H, Cheng G D, Building PC cluster for parallel FE analysis by object oriented method, Chinese Journal of Computational Mechanics, 2006, DOI:10.7511/jslx20063061, ISSN 1007-4708
  18. Li H, Network-based numerical analysis framework, Chinese Journal of Computational Mechanics,2005, DOI: 10.7511/jslx20052041, ISSN 1007-4708
  19. Li H, Transfer port structural design and optimization system onto Internet, Journal of Dalian University of Technology, 2004, ISSN:1000-8608
  20. Li H, MPI based parallel finite element analysis on PCs cluster (in Chinese), Journal on Numerical Methods and Computer Applications , 2004, DOI: 10.3969/j.issn.1000-3266.2004.03.006, ISSN:1000-3266
  21. Li H, Object-Oriented realization of gravity wharf CAD system, Chinese Journal of Computational Mechanics , 2004, DOI: 10.7511/jslx20043061, ISSN 1007-4708
  22. Li H, WebFEA: Web-based Finite Element Analysis, Journal of Computer Applications , 2004, ISSN:1001-9081
  23. Wang Y.F, Gu B, Li H, Push-over analysis of earthquake response for frame-type buildings, Journal of Dalian University of Technology , 2002, ISSN:1000-8608
  24. Li H, Feng H, Application of OOP in Gravity Wharf Optimization Design and Plotting Integrated System, Port & Waterway Engineering, 2002, DOI: 10.3969/j.issn.1002-4972.2002.07.017, ISSN:1002-4972
  25. Li H, Feng H, Network-Based Concurrent Port Design and Optimization System, China Harbour Engineering, 2002, DOI: 10.3969/j.issn.1003-3688.2002.04.006, ISSN:1003-3688