起重机主梁智能化激光测量系统设计
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南京理工大学机械工程学院 南京 210094

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TH215;TH822;TN06

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江苏省特种设备安全监督检验研究院立项项目(KJ(Y)2023036)资助


Design of intelligent laser measurement system for crane girder
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School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China

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    摘要:

    为了提高特种设备检测工作者对起重机主梁下挠值进行测量的工作效率,保证测量精度以及实现测量数据的智能化处理,提出了一种基于水平激光与光电传感器的测量方法,并设计了测量系统的原理样机。测量系统将起重机主梁拱度值转化为水平激光照射在光电传感器阵列上的高度差进行测量,通过纵向双排交错感光单元排布的方法提高了测量分辨率;利用双轴承重力悬吊结构保证了激光水平照射;通过点光源聚焦水平扫描代替一字线水平激光解决了激光远距离照射时衰减导致亮度不足的问题;借助LoRa和5G无线通信技术实现了测量数据实时上传云端的功能。在某起重机主梁检测现场,将本文设计的系统样机与传统经纬仪法进行对比测量实验,结果表明本文所提出的测量方法以及设计的系统样机相比传统经纬仪法,各点的测量误差在本次实验中均小于0.6 mm,且总测量用时减少了70%左右,保证了测量精度与可靠性,显著提高了测量效率,实现了将测量数据实时上传云端,提高了检测工作的智能化程度。

    Abstract:

    In order to improve the working efficiency of special equipment testing workers to measure the flexible value under the main beam of the crane, ensure the measurement accuracy and realize the intelligent processing of measurement data, a measurement method based on horizontal laser and photoelectric sensor is proposed, and the principle prototype of the measuring system is designed. The measuring system transforms the arch value of the crane into the height difference of horizontal laser irradiation on the photoelectric sensor array and improves the measurement resolution by the arrangement of the horizontal beam; ensures the horizontal illumination by the focus instead of the horizontal laser in the result with the function of LoRa and 5G wireless communication technology. In the field of a crane girder detection, the system prototype designed in this paper and the traditional theodolite method contrast measurement experiment, the results show that the measurement method and this paper designed the system prototype compared with the traditional theodolite method, the measurement error of each point are less than 0.6 mm, in the experiment, and the total measurement time reduced by about 70%, ensure the measurement accuracy and reliability, significantly improve the measurement efficiency, implements the measurement data real-time upload to the cloud, improve the intelligent degree of the detection work.

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郭大慷,贾云飞,肖凯文.起重机主梁智能化激光测量系统设计[J].电子测量技术,2024,47(21):1-7

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  • 在线发布日期: 2025-01-07
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