| Issue |
MATEC Web Conf.
Volume 139, 2017
2017 3rd International Conference on Mechanical, Electronic and Information Technology Engineering (ICMITE 2017)
|
|
|---|---|---|
| Article Number | 00031 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/matecconf/201713900031 | |
| Published online | 05 December 2017 | |
A Design of Long Jumping Device Based on Infrared Scanning and Data Collecting Technology
1 Teaching Affairs Department, Suzhou Chien-Shiung Institute of Technology, 215411 Taicang, China
2 School of Mecheanical Engineering, Jiangsu University, 212013 Zhenjiang, China
3 School of Mecheanical Engineering, Yancheng Institute of Technology, 224051 Yancheng, China
* Corresponding author: 234230348@qq.com
A standing long jump device based on infrared scanning technology was proposed for the aim of detecting and analysing the sports achievement of a group of people. The equipment is make of a standing long jump range finder, an infrared scanning range device, and a cloud platform for data management. The output of the measurement data is achieved through converting electrical signal produced by the instrument into a digital signal. The triangular formula and the minimum value algorithm were applied to deal with the distance data measured by the infrared light device. The function model of instantaneous data acquisition can effectively solve the measurement errors caused by the slight movement of tester’s toes or heels. In addition, the device also has intelligent cross-line alarm function. Compared with the previous rangefinder equipment, this device can achieve a high level of measurement accuracy and upload real-time data to the cloud platform for analysis.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.