论文标题
非金属管的平台缺陷识别。设计和实施
The Platform for non-metallic pipes defects recognition. Design and Implementation
论文作者
论文摘要
本文介绍了一个原型软件和硬件平台，可在检查非金属管的表面缺陷期间为现场操作员提供支持。检查是通过使用“智能”头盔设备和其他移动设备实时在同一表面上创建的视频拍摄缺陷来进行检查的。这项工作的重点是对缺陷的检测和识别，这些缺陷似乎是由受检查材料中内部应力的存在引起的衍射效应引起的反射光的彩虹丝。该平台允许您在离线模式下直接在设备上进行初步分析，并且，如果建立了与网络的连接，则将接收到的数据发送到服务器进行后处理，以提取有关上一阶段未检测到的可能缺陷的信息。本文介绍了平台的设计，正式描述和实施细节的阶段。它还提供了用于识别工作结果的缺陷和示例的模型的描述。
This paper describes a prototype software and hardware platform to provide support to field operators during the inspection of surface defects of non-metallic pipes. Inspection is carried out by video filming defects created on the same surface in real-time using a "smart" helmet device and other mobile devices. The work focuses on the detection and recognition of the defects which appears as colored iridescence of reflected light caused by the diffraction effect arising from the presence of internal stresses in the inspected material. The platform allows you to carry out preliminary analysis directly on the device in offline mode, and, if a connection to the network is established, the received data is transmitted to the server for post-processing to extract information about possible defects that were not detected at the previous stage. The paper presents a description of the stages of design, formal description, and implementation details of the platform. It also provides descriptions of the models used to recognize defects and examples of the result of the work.
