Related citation: | HUANG Qiao,LI Zhong-long,ZHANG Lian-zhen,SHA Xue-jun,XU Yu-bin,WANG De-jun.Design and validation of wireless strain test system for bridge based on the resistance strain sensor[J].Journal of Harbin Institute Of Technology(New Series),2010,17(1):18-23.DOI:10.11916/j.issn.1005-9113.2010.01.004. |
|
Author Name | Affiliation | HUANG Qiao | School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China Transportation College, Southeast University, Nanjing 210096, China | LI Zhong-long | School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China | ZHANG Lian-zhen | School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China | SHA Xue-jun | Research Center of Communication Technology, Harbin Institute of Technology, Harbin 150001, China | XU Yu-bin | Research Center of Communication Technology, Harbin Institute of Technology, Harbin 150001, China | WANG De-jun | School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China |
|
Abstract: |
In order to achieve an access to strain sensor data with wireless transmission in bridge engineering structure testing, a wireless strain test system is presented based on the resistance strain sensor of networks. The wireless bridge strain test system composed of master station and substation adopts the wireless method to realize the high accuracy data acquisition between the master station and the substation under a reliable communication protocol. The system has been tested in contrast with the present strain apparatus. Results show that the wireless system is high-reliable, and has many characteristics such as high efficiency, good precision, high stability with low cost, and good flexibility, without using the present communication network. |
Key words: wireless transmission bridge inspection data acquisition resistance strain sensor |
DOI:10.11916/j.issn.1005-9113.2010.01.004 |
Clc Number:U446 |
Fund: |