探讨供暖设备检修、管理与运行对策

住宅供暖方式的主体仍将是集中热源供暖系统,本文对供暖设备的春检、整修、冬季运行进行了论述,简介绍了设备春检的方法,着重对锅炉房内设备、外网设备、不热点等方面的整修措施进行了阐述,总结了供暖设备整修的点,达到了供暖设备运行安全,达标供暖的效果。     

油田通信设备的管理和维护

本文主要阐述了油田通信设备的管理和维护,对电话交换设备、线路设备、电源设备及传输设备的管理和维护工作进行了分析。     

设备对船体结构的激励力及其应用研究

针对以不平衡力为主的设备台架试验激励力向实船的转换方法进行研究,推导给出了设备对船体结构的激励力公式,并提出了设备与船体耦合振动分析的简化方法。将设备-隔振器-安装基础视为多自由度振动系统,基于振动理论,建立了设备与安装基础耦合振动的分析模型,得到了设备向安装基础传递的激励力计算公式;在此基础上,给出了设备向船体结构传递激励力的计算公式,提出了设备与船体结构耦合振动分析的简化方法,并验证了方法的正确性。研究表明:设备对船体结构的激励力不仅与设备激励力密切相关,还与设备质量、隔振器刚度及阻尼、船体结构刚度等密切相关;所提的设备与船体结构耦合振动简化方法具有较高精度,可满足工程要求。     

用即时通讯工具实现应急远程诊断的探讨

介绍了利用即时通讯工具的远程协助功能对现有条件设备实现远程诊断的方法,为设备应急维修提供了一种简单有效的方法.该方法的使用可提高了设备维修保障能力,减少了设备停机时间,延长了设备的生命周期.     

综采设备维修维护工艺分析

科技的进步为工业技术发展带来了源源不断的力量,而技术革新进一步推进了工业各个领域的发展。在煤矿开采领域,综采设备已经成为了生产主要工具,作为大型生产设备,综采设备在煤炭开采中逐渐常态化,起到了重要作用,但是大型设备在运行过程中需要专业的维修维护,以确保设备的正常运行。定期维修养护不但能保证设备运行效率,更能增加设备寿命。     

初探露天采矿设备的状态

本文从露天采矿设备自身与工作中的特点,阐述了对了解和掌握露天采矿设备状态的意义,并对影响表述设备状态评价的因素进行了分析,初步探讨了设备状态评价,为露天采矿设备的运行管理与维修管理开避了一个较新的视野,且为露天采矿设备的综合管理提供了借鉴。     

矿井机械设备的正确使用与维护

机器设备的正确使用与精心维护,是设备管理的重要环节。针对井下条件,合理配置设备,制定与贯彻设备状态完好标准、使用程序和要求,设备维护操作规程,设备润滑、点检、状态监测和故障诊断,搞好设备的日常、定期和区域维护,及时消除设备的故障和设备事故,有力地促进了矿井的安全生产,充分发挥了设备的效能。     

国家广播电影电视总局科技司广播影视系统设备质量认定公告

国家广播电影电视总局科技司对以下申请质量认定的广播影视设备,按照广播影视系统设备质量认定的要求进行了测试,对设备生产单位组织实施了质量体系检查。经审查,以下广播影视设备符合广播影视系统设备质量认定的要求,特颁发国家广播电影电视总局广播影视系统设备质量认定证书。     

国家广播电影电视总局科技司广播影视系统设备质量认定公告

国家广播电影电视总局科技司对以下申请质量认定的广播影视设备,按照广播影视系统设备质量认定的要求进行了测试,对设备生产单位组织实施了质量体系检查。经审查,以下广播影视设备符合广播影视系统设备质量认定的要求,特颁发国家广播电影电视总局广播影视系统设备质量认定证书。     

气流微波膨化没备的研究

本文对果蔬膨化设备的发展从传统的油炸设备到如今的非油炸设备做了介绍.重点分析了典型非油炸设备的原理与优缺点,结合膨化机理及工艺条件,提出新式气流微波膨化设备,并分析设备结构、阐述工作原理,对其不足之处提出了一些建议.     

Design of plant safety model in plant enterprise engineering environment

Plant enterprise engineering environment (PEEE) is an approach aiming to manage the plant through its lifecycle. In such environment, safety is considered as the common objective for all activities throughout the plant lifecycle. One approach to achieve plant safety is to embed safety aspects within each function and activity within such environment. One ideal way to enable safety aspects within each automated function is through modeling. This paper proposes a theoretical approach to design plant safety model as integrated with the plant lifecycle model within such environment. Object-oriented modeling approach is used to construct the plant safety model using OO CASE tool on the basis of unified modeling language (UML). Multiple views are defined for plant objects to express static, dynamic, and functional semantics of these objects. Process safety aspects are mapped to each model element and inherited from design to operation stage, as it is naturally embedded within plant's objects. By developing and realizing the plant safety model, safer plant operation can be achieved and plant safety can be assured.     

工业4.0与智能机械厂

目的探讨智能机械厂的构成和主要运作系统。方法在分析工业4.0的生产智能化特征和智能制造、智能工厂两大核心目标,以及智能工厂应具备数据、互联、集成、转型四大特点的基础上,对机械厂向智能工厂转变的必要性,智能机械厂的构成和主要运作系统,智能机械厂的运行流程进行分析和探索。结论智能机械厂应通过建立信息物理系统CPS建成覆盖全厂空间的智能网络;智能机械厂的智能化运作可划分为智能订货及支付、远程产品开发设计、智能生产和智能物流等系统;工业4.0是一个渐进的演变过程,机械厂向智能工厂转变应有一个完整的解决方案。     

植物纤维缓冲材料的研究进展

针对目前国内外研究中的植物纤维/淀粉、植物纤维/聚氨酯以及其他新型植物纤维缓冲包装材料的一些研究进展及存在的问题进行分析,特别是引入其他学科领域内研究中的植物纤维包装材料,相信会为缓冲包装材料领域注入新的活力.     

优化和改进10000m~3/h空分设备保冷模式

10000 m3/h空分设备作为备用设备,长期处于保冷模式。为弥补冷量损失,每10天左右必须启动以补充冷量。改变原来靠启动空压机和空分设备补充冷量的保冷模式,利用运行空分设备对保冷空分设备输送液氮进行补冷,使空分设备的运行更加经济。同时,为保证空分设备的安全,每20天对运行空分设备和保冷空分设备实施切换运行。比较保冷模式改进前后的相关参数,介绍改进保冷模式后取得的效益。     

Plant Identification Using Fitness-Based Position Update in Whale Optimization Algorithm

Since the beginning of time, humans have relied on plants for food, energy, and medicine. Plants are recognized by leaf, flower, or fruit and linked to their suitable cluster. Classification methods are used to extract and select traits that are helpful in identifying a plant. In plant leaf image categorization, each plant is assigned a label according to its classification. The purpose of classifying plant leaf images is to enable farmers to recognize plants, leading to the management of plants in several aspects. This study aims to present a modified whale optimization algorithm and categorizes plant leaf images into classes. This modified algorithm works on different sets of plant leaves. The proposed algorithm examines several benchmark functions with adequate performance. On ten plant leaf images, this classification method was validated. The proposed model calculates precision, recall, F-measurement, and accuracy for ten different plant leaf image datasets and compares these parameters with other existing algorithms. Based on experimental data, it is observed that the accuracy of the proposed method outperforms the accuracy of different algorithms under consideration and improves accuracy by 5%.     

SVM and KNN Based CNN Architectures for Plant Classification

Automatic plant classification through plant leaf is a classical problem in Computer Vision. Plants classification is challenging due to the introduction of new species with a similar pattern and look-a-like. Many efforts are made to automate plant classification using plant leaf, plant flower, bark, or stem. After much effort, it has been proven that leaf is the most reliable source for plant classification. But it is challenging to identify a plant with the help of leaf structure because plant leaf shows similarity in morphological variations, like sizes, textures, shapes, and venation. Therefore, it is required to normalize all plant leaves into the same size to get better performance. Convolutional Neural Networks (CNN) provides a fair amount of accuracy when leaves are classified using this approach. But the performance can be improved by classifying using the traditional approach after applying CNN. In this paper, two approaches, namely CNN + Support Vector Machine (SVM) and CNN + K-Nearest Neighbors (kNN) used on 3 datasets, namely LeafSnap dataset, Flavia Dataset, and MalayaKew Dataset. The datasets are augmented to take care all the possibilities. The assessments and correlations of the predetermined feature extractor models are given. CNN + kNN managed to reach maximum accuracy of 99.5%, 97.4%, and 80.04%, respectively, in the three datasets.     

Plant model generation for PLC simulation

This paper reports an automated procedure for constructing a plant model for PLC simulation. Since PLC programs contain only the control logic without information on the plant model, it is necessary to build the corresponding plant model to perform the simulation. Conventionally, a plant model for PLC simulation has been constructed manually, which requires much effort and in-depth knowledge of the simulation. As a remedy for this problem, we propose an automated procedure for generating a plant model from the symbol table of a PLC program. To do so, we propose a naming rule for PLC symbols so that the symbol names include sufficient information on the plant model. By analysing such symbol names, we extract a plant model automatically. The proposed methodology has been implemented and test runs performed.     

带液体膨胀机43000m~3/h空分设备的设计和运行分析

介绍带液体膨胀机的43000 m3/h空分设备的主要性能指标、流程组织、主要配套部机及成套空分设备的技术特点,阐述了空分设备的运行情况及对国产大型空分设备技术发展的重要意义。     

植物纤维增强聚乳酸发泡材料的研究进展

目的 建立基于电感耦合等离子质谱(ICP-MS)技术的总有机锡迁移量分析方法,用于食品接触材料中总有机锡的快速筛查。方法 使用四氢呋喃溶解法筛选出添加有机锡类热稳定剂的试样,采用水和体积分数为4%的乙酸模拟物进行迁移试验,迁移温度为20 ℃和40 ℃,迁移时间为10 d,同时比较常规浸泡迁移和超声加速迁移的结果,对检测方法的精密度、准确度进行了确认。结果 总有机锡迁移测定方法在质量浓度为0.13~13 μg/L时呈良好的线性关系,采用体积分数为4%的乙酸模拟物迁移的检出限为0.011 μg/L,定量限为0.033 μg/L;水模拟物迁移的检出限为0.0097 μg/L,定量限为0.029 μg/L。总有机锡加标回收率范围为98.1%~109.9%,相对标准偏差(RSD)<4.5%。结论 此方法具有灵敏度高、选择性好和准确性高等特点,适用于PVC包装材料中总有机锡迁移量快速分析。