基于Labview的虚拟温度采集系统的设计

以Labview为开发平台，实现温度数据采集系统的设计。选用温度传感器采集室内的温度信号，利用Labview虚拟平台编辑完成用户的操作界面与显示界面，然后通过采集卡及其采集任务的通道配置，完成室内温度信号的采集、传送、处理，并编程将其置于系统上位机的显示界面中显示，同时为用户提供历史查询功能。  

A new paradigm of cloud-based predictive maintenance for intelligent manufacturing

Advances in cloud computing reshape the manufacturing industry into dynamically scalable, on-demand service oriented, and highly distributed cost-efficient business model. However it also poses challenges such as reliability, availability, adaptability, and safety on machines and processes across spatial boundaries. To address these challenges, this paper investigates a cloud-based paradigm of predictive maintenance based on mobile agent to enable timely information acquisition, sharing and utilization for improved accuracy and reliability in fault diagnosis, remaining service life prediction, and maintenance scheduling. In the new paradigm, a low-cost cloud sensing and computing node is firstly developed with embedded Linux operating system, mobile agent middleware, and open source numerical libraries. Information sharing and interaction is achieved by mobile agent to distribute the analysis algorithms to cloud sensing and computing node to locally process data and share analysis results. Comparing to the commonly used client–server paradigm, the mobile agent approach enhances the system flexibility and adaptability, reduces raw data transmission, and instantaneously responds to dynamic changes of operations and tasks. Finally, the presented cloud-based paradigm of predictive maintenance is validated on a motor tested system.  

基于自动驾驶系统的轻量型卷积神经网络优化

计算机视觉技术大量应用于自动驾驶系统，主要解决物体识别与物体分类问题，本文根据任务提出了一种轻量化的神经网络结构.为解决训练数据规模不足的问题，采用了改进型数据增强算法，使训练数据成倍增加.同时为解决使用数据生成器作为验证集，无法使用tensorboard的问题，提出了解决方案，通过卷积网络可视化方法详细研究了神经网络处理图像信息的原理并提出了优化方法.训练后的模型在验证集上准确率达到了97.5%，满足了自动驾驶系统对分类任务准确率的要求.  

基于Lab VIEW的多通道木材声发射信号采集系统

为采集木材在长时间载荷作用下的声发射信号，设计了一种多通道的高速数据采集系统.首先，利用NI USB-6336高速采集卡和声发射传感器等硬件搭建4通道声发射信号硬件采集平台；其次，基于Lab VIEW设计人机界面及软件控制系统；最后，通过木材三点弯曲试验来验证该采集系统的效用.试验结果表明，该4通道的信号采集系统能有效地采集与自动存储木材在损伤过程中的声发射信号.作为一种木材声发射信号采集平台，该系统能够为木材声发射信号的采集与分析提供基本保障.  

Abaqus在某油田套管修复技术中的应用

针对塔里木东河油田某井套管补贴案例,利用Abaqus建立膨胀管机械式膨胀模型和液压式膨胀模型,对膨胀管的膨胀压力、缩短率、壁厚和通径等进行仿真,分析对比2种膨胀方式的各种参数.仿真结果与现场施工数据吻合较好.