面向项目群管理的资源网格化封装机理研究

针对传统的项目管理中存在的问题及不足,例如难以满足跨组织的制造资源共享、互操作、临时服务等,本文提出了一种基于网格技术的新方法,将项目群的管理与制造网格有机结合起来,以实现对项目群的实施和执行过程进行有效的实时的管理和监控。在此基础上提出了具体实现框架和应用实例,从而通过资源的网格化封装和配置,实现高效的项目管理和监控。     

Research on flame classification and recognition based on object detection and similarity fusion

The color, shape, and other appearance characteristics of the flame emitted by different flame engines are different. In order to make a preliminary judgment on the category of the device to which it belongs through studying exterior characteristics of the flame, this paper uses the flame of matches, lighters, and candles to simulate different types of flames. It is hoped that the flames can be located and classified by detecting the characteristics of flames using the object detection algorithm. First, different types of fire are collected for the dataset of experiments. The mmDetection toolbox is then used to build several different object detection frameworks, in which the dataset can be trained and tested. The object detection model suitable for this kind of problem is obtained through the evaluation index analysis. The model is ResNet50-based faster-region-convolutional neural network ( Faster R- CNN), whose mean average-precision ( mAP) is 93.6% . Besides, after clipping the detected flames through object detection, a similarity fusion algorithm is used to aggregate and classify the three types of flames. Finally, the color components are analyzed to obtain the red, green, blue ( RGB) color histograms of the three flames.     

桥头跳车治理方法研究

桥头跳车是高速公路开放通车后的质量通病之一。首先分析了产生桥头跳车的原因,然后对桥头搭板、土工格栅以及CFG桩复合地基3种治理桥头跳车的方法进行介绍和分析,确定了3种方法的适用范围。对软土地基上的桥头跳车问题可以通过采用CFG桩复合地基并配合设置桥头搭板或过渡板来解决。     

溴化锂吸收式热泵性能研究

研究了在定流量/变温差和定温差/变流量条件下中温水对溴化锂吸收式热泵机组性能的影响。结果表明:在定流量/变温差工况下,中温水的温差越小,溴化锂吸收式热泵的性能系数(COP)越高,但在测试范围内变化率小于8%。在定温差/变流量工况下,当中温水的流量大于75%时,性能系数略微下降;但小于75%时,性能系数变化较快。     

面向中小模具企业的网络化协同制造系统及实现

针对模具企业网络化制造的需求和存在的问题,结合模具企业的现状,提出一个适合于华南地区模具制造企业特色的模具网络化制造协同平台体系框架,并在此基础上开发面向华南地区模具企业的协同制造系统的多种功能模块。最后,以一个模具设计和制造过程为例,验证模具网络化协同平台运行的正确性和有效性。     

Semantic segmentation of track image based on deep neural network

In this paper, deep learning technology was utilited to solve the railway track recognition in intrusion detectionproblem. The railway track recognition can be viewed as semantic segmentation task which extends imageprocessing to pixel level prediction. An encoder-decoder architecture DeepLabv3 + model was applied in this workdue to its good performance in semantic segmentation task. Since images of the railway track collected from thevideo surveillance of the train cab were used as experiment dataset in this work, the following improvements weremade to the model. The first aspect deals with over-fitting problem due to the limited amount of training data. Dataaugmentation and transfer learning are applied consequently to rich the diversity of data and enhance modelrobustness during the training process. Besides, different gradient descent methods are compared to obtain theoptimal optimizer for training model parameters. The third problem relates to data sample imbalance, cross entropy(CE) loss is replaced by focal loss (FL) to address the issue of serious imbalance between positive and negativesample. Effectiveness of the improved DeepLabv3 + model with above solutions is demonstrated by experimentresults with different system parameters.     

数字伺服驱动技术在卷烟机改造中的应用

介绍了数字伺服系统的发展情况及应用现状,并结合当前国内的主流卷烟机passim8000机组紧头控制系统的不足,阐述了利用数字伺服电机如何加以改进。