A Method for Truck Crane Reliability Test Based on Wireless Sensor Network

Abstract:

Several subjects including hoisting, derricking and slewing of boom, extending and contracting of boom, setting down and retracting of outriggers, have to be carried out in truck crane operating reliability test according to native standard. It is a laborious and time consuming work which repeats hundreds or even ten hundreds times. In this paper, a Wireless Sensor Network (WSN) based system was built to automatically count the number of each test item. To achieve counting numbers of status change of telescopic boom, extending length or hoisting height were measured by one pair of wireless ranging sensor nodes adopting Chirp Spread Spectrum technique. The status change of outriggers and boom was monitored by detecting signals from a group of hall sensors. The data were then transmitted to main software by ZigBee wireless sensor network based on star topology. The software was developed for further data processing and storage by Labwindows/CVI. Preliminary experiments that included simulation and on-the-spot test were conducted. The results show that the count is in accordance with actual number. It is helpful and practical to reduce labor intensity as well as kinds of resources investment.

• Periodical: Advanced Materials Research (Volumes 846-847)
• Pages: 438-441
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.846-847.438
• Online since: November 2013
• Authors: Han Fu, Du Chen, De Wei Ding, Shu Mao Wang*
• Keywords: Automatic Counting, Reliability, Truck Crane, Wireless Sensor Network (WSN)

References

[1] JB/T 4030. 1-2000, Test code for truck crane and wheel crane-Test of operating reliability [S]. Beijing: China Academy of Machinery Science & technology, (2000).

[2] Fraser, M., et al. Sensor network for structural health monitoring of a highway bridge [J]. Journal of Computing in Civil Engineering, 2010, 24(1): pp.11-24.

[3] Otero, C.E., et al., Real-time monitoring of hurricane winds using wireless and sensor technology[J]. Journal of Computers, 2009, 4(12): pp.1275-1285.

[4] Shi Bing, Zhao Dean, Liu Xingqiao, et al. Intelligent monitoring system for industrialized aquaculture based on wireless sensor network [J]. Transactions of the CSAE, 2011, 27(9): 136-140.

[5] Wang Haitao, Zhu Gencai, et al. Study on error analysis and reliability estimate for RFSS [J]. Journal of System Simulation, 2007, 19(7): 1548-1550.

[6] GB/T 6068—2008, Test code for truck crane and mobile crane [S]. Beijing: China Standard Press, (2008).