关于建筑装饰材料及检测专业的办学思路的探讨

主要概述我校建筑装饰材料及检测专业在近几年的办学过程中,围绕市场需求,广泛吸取各职业院校的办学思路,建立了新的办学思路,进行了新的专业定位。     

计算机视觉检测系统在絮凝处理中的应用

絮凝法是废水处理过程中应用最广泛的一种方法。絮凝剂的性质直接影响絮凝效果。作者对计算机视觉检测系统在废水絮凝处理过程中的应用进行了研究。首先介绍了计算机絮凝检测系统的构成及设计原理和方法．然后通过对两种絮凝剂在模拟废水中的絮凝沉淀实验,用计算机视觉检测系统的图像获取功能对絮凝的全过程进行跟踪拍摄,并利用计算机图像处理技术对絮体图像进行分析,找出与絮体沉降特性有关的图形参数．得到絮体图像灰度值与溶液浊度之间的关系曲线,并提出利用絮体图像灰度直方图来判定絮凝沉淀的终点的方法,为絮凝过程的自动化控制提供依据。     

建筑装饰施工中节能环保绿色装饰材料的应用

近年来,人们对环境保护和可持续发展的意识逐渐增强,对建筑装饰材料的要求也日益提高。因此,节能环保绿色装饰材料的应用在建筑装饰施工中变得越来越重要。采用节能环保绿色装饰材料不仅可以减少能源的消耗,降低对环境的污染,还可以创造一个健康舒适的室内环境,提高居住质量。本文通过深入研究分析节能环保绿色装饰材料的内涵与其重要意义,提出了节能环保绿色装饰材料应用的几种主要类型,希望能带来一些帮助。     

节能环保绿色装饰材料在建筑装饰施工中的应用分析

装饰施工作为建筑工程领域非常重要的项目,在实际施工中常常会使用大量材料,并且会产生一些废弃物和污染环境的物质,这不利于建筑行业和生态环境的和谐发展.为此,相关工作人员要明确节能环保绿色装饰材料的重要性也应用要点,加强各种节能环保绿色装饰材料的应用,节省资源,降低对环境的影响,提升室内装饰的舒适性、健康性、美观性.     

建筑装饰施工中节能环保绿色装饰材料的应用

人们的环保意识一直在强化,对节能环保的绿色装饰材料需求也存在全新的要求.所有装饰材料制造公司都需要和市场趋势相适应,加大对新型装饰材料的具体研发力度,使得新材料的使用范围扩大,提升节能效果,保护人体健康以及生态环境.本篇文章主要对建筑装饰施工中节能环保绿色装饰材料的应用进行简单的分析,希望可以给大家带去一些启发.     

节能环保绿色装饰材料在建筑装饰施工中的应用剖析

建筑装饰施工是建筑行业的重要组成部分,能够为用户带来舒适的环境,提升用户体验。节能环保绿色装饰材料的应用,有利于满足人们对环保的要求,减少工程投资,进一步提升企业竞争力,更好地适应行业发展,并进一步促进建筑装饰工程的可持续发展。目前,许多装修工程施工工艺不规范,选材不合理,致使环保建材使用效率低、施工质量差。本文分析了节能环保绿色装饰材料在建筑装饰工程中的具体应用及注意事项,积累节能环保绿色材料应用经验,以期能够促进绿色建材得以更好地利用,提高工程质量,真正发挥其作用,推动建筑装饰行业朝着绿色环保方向发展。     

建筑室内设计中建筑装饰材料艺术特征的应用

装饰材料是进行建筑室内设计的主要媒介,把握好装饰材料的色彩、质感、纹理、规格等艺术特征,对其进行艺术设计创新,才能做到实用性与艺术性的统筹兼顾,创造出舒适、个性的室内环境。设计师在建筑室内设计时,需要增强对装饰材料艺术特征的应用水平,通过色彩的对比、质感的转换、形态的模拟、规格的搭配以及不同材料的运用,塑造出既能满足人们审美要求,同时又具有艺术表现力的室内空间意境。     

墙地砖色差的计算机视觉检测研究

本文针对墙地砖色差的检测难题，提出了一种新型的计算机视觉检测方法，并通过Borlandc^ 5.0实现该算法。事实证明该算法能够满足墙地砖质量检测中的实时，在线，全数的要求。     

品味中国装饰艺术玻璃市场——广州建筑装饰材料博览会启示录

中国装饰艺术玻璃的发展历史,始于何年何月,不好一语概之.若要从企业生产规模化、品种多样化、单位产品系列化和市场竞争正面化来看,恐怕要始于2003年的广州第五届建筑装饰材料博览会.     

墙地砖变形的计算机视觉检测系统

本文以墙地砖为例，以计算机视觉理论为基础，采用计算机图像处理技术，研究了墙地砖变形的自动检测和识别的关键技术，并编制了该软件系统。     

基于计算机视觉的轮胎荷重轮廓测量系统开发

将计算机视觉测量技术应用于轮胎荷重轮廓测量领域,研制了一种基于计算机视觉的轮胎荷重轮廓测量系统。测量系统由CMOS摄像机、激光传感器、光栅尺和控制器等组成。通过轮胎胎侧轮廓的三维空间坐标,精确重构了轮胎荷重胎侧轮廓。实现了对其几何参数快速测量。与传统的机械手工测量方法相比,该系统具有非接触、无磨损、高效率的优点。测量结果表明：系统的测量精度可达±0.1mm。     

一种运动检测算法在无人机视频遥感上的应用

提出了一种基于灰度投影与位平面匹配的图像全局运动估计算法，并将其应用于无人机图像稳定系统中．算法采用灰度投影获取全局运动，用网格检测和灰度切分图精确匹配的方法获取更准确的运动数据．由于算法中使用自适应性的灰度切分层选择和基于灰度投影的运动估计缩小搜索区域，使算法效率在空间复杂度和时间复杂度上得到提高，具有较好的实时性和对影像的适应性．     

Computer Vision System (CVS) for In-Line Monitoring of Visual Texture Kinetics During Shrimp (Penaeus Spp.) Drying

In this study, the effects of drying medium temperature and velocity were surveyed on the image texture features of shrimp (Penaeus spp.) batches in a dryer equipped with a perpendicular dual-view computer vision system (CVS). This was carried out by applying an innovative rotation- and scale-invariant image texture processing approach with the capability of eliminating the effects of sample shrinkage on the visual textural features. Moreover, the variations in image texture parameters were investigated with moisture ratio, color, and geometrical characteristics of the shrimp samples. Drying experiments were conducted at hot air drying (HAD) temperatures of 50–90°C and superheated steam drying (SSD) temperatures of 110–120°C with drying medium velocities of 1–2 m/s. Several configurations of a multilayer perceptron artificial neural network (MLP-ANN) were also used to predict the moisture ratio and the geometrical characteristics of the shrimp batch using the image texture parameters. Generally, the image texture features were significantly affected by drying medium temperatures (p < 0.01), and the effects of drying medium velocities on the textural properties were nonsignificant (p > 0.05). Additionally, the higher drying temperatures generated products with uniform and regular texture patterns. The SSD produced samples with somewhat nonuniform and irregular texture patterns compared with HAD at 90°C. Finally, selected MLP-ANN topologies successfully predicted the moisture ratio and the geometrical characteristics of the shrimp batch using the textural properties with correlation coefficients higher than 0.99.     

Size Effect of the Adhesive Bonding Strengths of Metal/Polymer Similar and Dissimilar Material Joints

The relationship between the adhesive bonding strengths and the bonding areas (sizes) is important for material and structural designs, because adhesive bonding is widely used not only in small scale electronic devices, but also in large-scale composite–metal joints of modern aircraft/ship structures. Therefore, a systematic experimental investigation on adhesive bonding strengths of polymer/polymer, metal/metal, and polymer/metal joints was conducted. Results show that the size effect of the bonding strengths is small for the current bonding areas (from 30 to 300 mm²), which are widely employed in most of the test standards for engineering designs.     

机器视觉技术在油田应用现状及展望

近年来,国际政治经济形势发生了深刻变革,中国的石油行业面临着严峻的多维挑战.在高成本开采压力之下,采取油气技术+互联网的方式,借助机器视觉技术建设智能油田有望成为当前油田降本增效的有效途径.通过调研机器视觉技术在油田应用现状及进展,对融合过程中存在的问题进行了分析挖掘,前瞻性地探讨了机器视觉与油田深度融合的建设目标、建...     

Detecting Crystals in Suspensions: Convolutional Neural Networks vs. Gravity-Based Approach for Size Distribution Detection

The majority of fine chemical and pharmaceutical processes includes some form of crystallization steps. For process optimization and control of further downstream steps, the crystal size distribution of the product is a crucial factor. To identify characteristic particle size classes from a large number of measurements, each individual probe has to be separated from the mother liquor and manually analyzed. In this contribution a deep learning-based method is presented using microscopic images as input for crystal size analysis. Additionally, a data augmentation approach was investigated to limit the data necessary for learning. A high segmentation accuracy of the crystals was achieved with 93.02 %. To evaluate the classification performed by the presented convolutional neural network (CNN), it is tested on two sets of images, containing a previously determined particle fraction. With the classifications of the CNN, a Q₃ distribution is calculated. To validate the developed approach in terms of its accuracy it is compared to two other methods as well.     

用计算机确定马蹄焰池窑深澄清池的结构尺寸

本文以流体力学中的连续性方程、动量方程和能量方程为基础,并根据马蹄焰池窑作业的特点,建立了具有实用意义的马蹄焰玻璃池窑内的液流运动和传热的三维数学模型。在池壁热边界条件给定方面,采用第二类散热边界条件,避免了以固定温度作为边界条件造成的不真实性;在计算机上采用SIMPLEC法进行逐块迭代求解。通过实例计算,得到了合适的澄清池沉降深度、洞坎位置与高度。     

Separation of mixed solutes using reciprocating size exclusion chromatography: Computer simulation based upon experimental parameters

Mixed solutes of different molecular size were separated by reciprocating size exclusion chromatography and the results were compared with conventional size exclusion chromatography with repeated feeds using computer simulation. Operational conditions, such as overlapping between elution curves and diffusivities of solutes, were varied in simulation. Simulation showed the separation efficiency was higher in RSEC than SEC with repeated feeds in the region of high diffusivity of either solutes at low degree of overlapping. Further study to improve RSEC by employing temperature swing is being made.