Study on Crane Structural Health Monitoring and Early Warning Expert System

Abstract:

Based on current research basis at home and abroad, in order to improve the level of safety technology and safeguard work efficiency, Internet of Things is brought into crane structural health monitoring. Crane structural health risk level evaluation criteria and structural health warning technology expert system are the two key aspects of the project. The mechanical properties of Q235 were studied and theoretical calculations were done by the technologies of ANSYS and ADAMS, finally the threshold was determined. Signals are collected by FBG sensors and transmitted to a demodulator, and then use software calculates the real-time stress by a formula we given in. Finally the real-time stress in different parts of the crane is acquired. If the real-time stress exceeds the allowable stress we set, it issues an alarm signal to the operators.

• Periodical: Advanced Materials Research (Volumes 774-776)
• Pages: 1586-1590
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.774-776.1586
• Online since: September 2013
• Authors: Guo Jian Huang, Dong Hui Wang, Xin Hua Wang, Zhen Yu He
• Keywords: Crane SHM, Early Warning, Evaluation Criteria, Expert System

References

[1] Lee G, Kim H, Lee C, et al. A laser-technology-based lifting-path tracking system for a robotic tower crane[J]. Automation in Construction. 2009, 18(7): 865-874.

DOI: 10.1016/j.autcon.2009.03.011

[2] Chen X, Zhou F. RFID enabled remote structural health monitoring for heavy lifting appliances[C]. Shanghai, China: Springer Verlag, (2010).

[3] D G R, F K F, L J, et al. Assessing the Structure Integrity of Crane Booms Using Acoustic Emission [P]. Czech Republic, (2002).

[4] Liang Jun. Research on Crack Detection of Slewing Ring of Cranes based on Acoustic Emission [D]. South China University of Technology, (2012).

[5] Yan Yuqin, Research on Steel Structural Health Monitoring of Tower Crane [D]. Shandong University, (2011).

[6] Shi Y Z, Zhang L M. structural damage localization from modal strain energy change [J]. Journal of Sound and Vibration. 1998, 218(5): 825-844.

DOI: 10.1006/jsvi.1998.1878

[7] Lee G, Cho J, Ham S, et al. A BIM- and sensor-based tower crane navigation system for blind lifts[J]. Automation in Construction. 2012, 26: 1-10.

DOI: 10.1016/j.autcon.2012.05.002

[8] Zheng L, Mrad N. Validation of Strain Gauges for Structural Health Monitoring With Bayesian Belief Networks[J]. Sensors Journal, IEEE. 2013, 13(1): 400-407.

DOI: 10.1109/jsen.2012.2217954

[9] Torres B, Ignacio P, A C P, et al. Analysis of the strain transfer in a new FBG sensor for Structural Health Monitoring[J]. Engineering Structures. 2011(33): 539-548.

DOI: 10.1016/j.engstruct.2010.11.012

[10] Katsikeros C E, Labeas G N. Development and validation of a strain-based Structural Health Monitoring system[J]. Mechanical Systems and Signal Processing. 2009, 23(2): 372-383.

DOI: 10.1016/j.ymssp.2008.03.006

[11] Huang G, Wang D, Wang W, et al. Structural Health Monitoring of Gantry Crane Based on EDGE Technology[J]. Applied Mechanics and Materials. 2013, 333-335: 1629-1634.

DOI: 10.4028/www.scientific.net/amm.333-335.1629