Skip to main content
SpringerLink
Log in

Production line 3D visualization monitoring system design based on OpenGL

  • Published:
Advances in Manufacturing Aims and scope Submit manuscript

Abstract

New production line management technologies are required and adopted recently with the development of modern manufacturing industry. In this study, a production line three-dimensional (3D) visualization monitoring system based on OpenGL modeling, open database connectivity (ODBC), and database management technology is established on a VC++6.0 platform to satisfy effective production. A client/server model is adopted in the system, and data on processing information, interactive operation, and failure process are stored in the server side database. A client reads the workpiece process information from the server, and the machining process of every workpiece is visually represented in the form of 3D visualization. Production line 3D visualization provides production capacity simulation to optimize the parameter settings. When compared with the analysis results of production line capacity, the key parameters possess the same optimal values, and this proves the accuracy of production line 3D visualization monitoring system. The system provides effective data support for production line monitoring and management in enterprises.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

Reference

  1. Zhu MC, Zhang CS (2001) Virtual manufacturing system and implementation. Northwestern Polytechnical University Press, Xi’an

    Google Scholar 

  2. Xiao TY (2004) Virtual manufacturing. Tsinghua University Press, Beijing

    Google Scholar 

  3. Du BJ (2012) Virtual manufacturing. Shanghai Science and Technology Press, Shanghai

    Google Scholar 

  4. Damgrave RGJ, Lutters E, Drukker JW (2014) Rationalizing virtual reality based on manufacturing paradigms. Proc CIRP 21:264–269

    Article  Google Scholar 

  5. Mu C (2008) Virtual manufacturing and its application in manufacturing industry. Dissertation, HeFei University of Technology

  6. Chang H (2002) Research on virtual manufacturing technology of electronic products. Dissertation, Xi’an Electronic and Science University

  7. Shang HP, Zhao ZX (2004) Integration of manufacturing services into virtual environments over the internet. Int J Autom Comput 1:89–106

    Article  Google Scholar 

  8. Wu J (2008) Research on the visual monitoring and control system of flexible process. Dissertation, Northeastern University

  9. Jin YX, Wang ZS, Bu P (2008) Design and implementation of a visual monitoring system to ensure safety in the water surrounding a container vessel. J Mar Sci Appl 7:200–204

    Article  Google Scholar 

  10. Yao H (2005) Research on the component of visual monitoring system. Dissertation, Donghua University

  11. Wang HL (2011) Research and implementation of OPENGL based static and dynamic effect simulation. Dissertation, Fudan University

  12. Li GL (2011) Study on machining simulation system of virtual NC lathe based on OpenGL. Dissertation, Southwest Jiaotong University

  13. Qin L (2010) Research and development of simulation platform of cigarette primary processing line. Dissertation, Shandong University

  14. Cai CA (2003) The technology of program and interface of ODBC database under VC++6.0 environment. J Jianghan Univ 31:45–48

    Google Scholar 

  15. Tan L (2010) ODBC research. Softw Guide 10:39–40

    Google Scholar 

  16. Ma YH, Bai YW, Xu JP (2002) Network database access security of ODBC interface design and implementation. Comput Eng 29:171–173

    Google Scholar 

  17. Zheng Y (2008) Visual C++ in the open database connectivity technology. Sci Technol Inf 12:38–53

    Google Scholar 

  18. Stonebraker M, Dong D, Brodie ML (2016) Database decay and how to avoid it. In: IEEE international conference on bid data 2016, pp 7–16

  19. Sanders NW, Mann NH, Spengler DM (1997) Web client and ODBC access to legacy database information: a low cost approach. In: AMIA Fall symposium 1997, pp 799–803

  20. Yuan H, Bai RF, Fang CH et al (2014) Design and implementation of visualization central monitoring system based on simulated beer production line. Exp Technol Manag 31:120–123

    Google Scholar 

  21. O’Neil DA, Petty MD (2013) Organizational simulation for model based systems engineering. Proc Comput Sci 16:323–332

    Article  Google Scholar 

  22. Hou L, Wang PJ, Li GL et al (2011) Machining simulation system of virtual NC lathe based on OpenGL and VC++. Mech Eng Autom 4:4–6

    Google Scholar 

  23. Liao SL, Yi SP, Gao QX (2012) Modeling and simulation analysis for determining numbers of workers and output for Chaku-Chaku production lines of itineration style. Appl Res Comput 29:1359–1363

    Google Scholar 

  24. Littlewood KE (2011) High fidelity simulation as a research tool. Best Pract Res Clin Anaesthesiol 25:473–487

    Article  Google Scholar 

  25. Wei AL, Ma L, Hu DS (2013) Simulation and optimization of welding production line of car welding workshop based on witness. J Netshape Form Eng 5:61–65

    Google Scholar 

  26. Zhao YX, Han MG (2013) Simulation study of a semi-automatic production line production logistics system based on witness. Logist Technol 11:1–4

    Google Scholar 

  27. Yu B (2002) OpenGL-based research and development of CNC machining simulation system. Dissertation, Sichuan University

  28. Zhang XP, Ren NF, Zhang HJ (2007) Research of simulate study system of numerical control machine tool based on OpenGL technology and Visual C++. Mod Manuf Eng 3:129–132

    Google Scholar 

Download references

Acknowledgements

This study was supported in part by the Grand Science & Technology Program, Shanghai, China (Grant No. 16111105900), Shanghai Municipal Commission of Economy and Informatization (Grant No. 160646), and Shanghai University School Level Program.

Author information

Authors and Affiliations

  1. Shanghai Key Laboratory of Intelligent Manufacture and Robotics, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200072, People’s Republic of China

    Jian-Fei Chai, Xiao-Mei Hu, He-Wei Qu, Ming-Hang Li, Hui-Jing Xu, Yu Liu & Tao Yu

Authors
  1. Jian-Fei Chai
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xiao-Mei Hu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. He-Wei Qu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ming-Hang Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Hui-Jing Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Yu Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Tao Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xiao-Mei Hu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chai, JF., Hu, XM., Qu, HW. et al. Production line 3D visualization monitoring system design based on OpenGL. Adv. Manuf. 6, 126–135 (2018). https://doi.org/10.1007/s40436-018-0217-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40436-018-0217-x

Keywords

Search

Navigation