Research and Review on the Development of Mechanical and Electrical Integration of System Function Principle and Related Technologies

In this paper, we conduct research on the development of mechanical and electrical integration of system function principle and related technologies. Along with the rapid and continuous development of modem science and technology, it ＇ s for the penetration and cross of different subjects great push, the more important is caused by technological revolution in the field of engineering and mechanical engineering field under the rapid development of computer technology and microelectronic technology and penetration to the mechanical and electrical integration, which is formed by the mechanical industry lead to trigger a particularly large changes in the mechanical industry management system and mode of production, product and technical structure, composition and function, thus result in industrial production from the previous mechanical electrification progressively electromechanical integration which lead the trend of the current technology.

An Improved Solov2 Based on Attention Mechanism and Weighted Loss Function for Electrical Equipment Instance Segmentation

The current existing problem of deep learning framework for the detection and segmentation of electrical equipment is dominantly related to low precision.Because of the reliable,safe and easy-to-operate technology provided by deep learning-based video surveillance for unmanned inspection of electrical equipment,this paper uses the bottleneck attention module(BAM)attention mechanism to improve the Solov2 model and proposes a new electrical equipment segmentation mode.Firstly,the BAM attention mechanism is integrated into the feature extraction network to adaptively learn the correlation between feature channels,thereby improving the expression ability of the feature map;secondly,the weighted sum of CrossEntropy Loss and Dice loss is designed as the mask loss to improve the segmentation accuracy and robustness of the model;finally,the non-maximal suppression(NMS)algorithm to better handle the overlap problem in instance segmentation.Experimental results show that the proposed method achieves an average segmentation accuracy of mAP of 80.4% on three types of electrical equipment datasets,including transformers,insulators and voltage transformers,which improve the detection accuracy by more than 5.7% compared with the original Solov2 model.The segmentation model proposed can provide a focusing technical means for the intelligent management of power systems.

Mechanical Integrity and Failure Analysis of Photovoltaic Modules under Simulated Snow Loads Using Pneumatic Airbag Setup

Photovoltaic (PV) modules have emerged as an ideal technology of choice for harvesting vastly available renewable energy resources. However, the efficiency of PV modules remains significantly lower than that of other renewable energy sources such as wind and hydro. One of the critical elements affecting a photovoltaic module’s efficiency is the variety of external climatic conditions under which it is installed. In this work, the effect of simulated snow loads was evaluated on the performance of PV modules with different types of cells and numbers of busbars. According to ASTM-1830 and IEC-1215 standards, a load of 5400 Pa was applied to the surface of PV modules for 3 hours. An indigenously developed pneumatic airbag test setup was used for the uniform application of this load throughout the test, which was validated by load cell and pressure gauge. Electroluminescence (EL) imaging and solar flash tests were performed before and after the application of load to characterize the performance and effect of load on PV modules. Based on these tests, the maximum power output, efficiency, fill factor and series resistance were determined. The results show that polycrystalline modules are the most likely to withstand the snow loads as compared to monocrystalline PV modules. A maximum drop of 32.13% in the power output and a 17.6% increase in series resistance were observed in the modules having more cracks. These findings demonstrated the efficacy of the newly established test setup and the potential of snow loads for reducing the overall performance of PV module.

煤矿掘进机机电设备故障诊断与维护

针对煤矿掘进机机电设备传统故障诊断方法效率较低、故障识别较为困难、潜在故障无法及时发现等问题,本文对煤矿掘进机机电设备故障诊断与维护技术进行研究。在分析了掘进机关键结构常见故障和监测方法的基础上,提出了煤矿掘进机故障监测与智能诊断系统,完成硬件系统选型和软件控制系统设计,实现了对掘进机机电设备运行状态实时监控和远程运维,转被动维护为主动维护,提高了设备运行可靠性,降低了设备维护成本,提高了机电设备故障诊断效率。经安装调试后表明:当掘进机关键部位出现异常现象时可准确识别,并且故障响应时间仅为1.28 s,故障发现率达97.8%,对潜在故障准确识别和判断,智能诊断系统极大提高了设备故障诊断效率,故障排除时间降低为97.3%。

基于可编程逻辑控制器的煤矿综采组合开关结构设计

针对有效、统一控制煤矿综采工作面多种采煤设备为目的,设计基于可编程逻辑控制器的煤矿综采工作面配套组合开关结构。该开关结构分为主控制电路、次控制电路,两种电路均与液晶显示模块相连。通过液晶显示模块的界面将电路状态反馈给管理人员,两种控制电路主要通过可编程逻辑控制器和继电器、信号提醒、保护回路相连,分别完成电源供应、警报信息提醒、采煤设备连接状态管理。实验结果表明,在过载、漏电工况中可用电气互锁的方式保证采煤机状态不出现异常变化,完成异常采煤设备的统一管理,最高节能比例达到11.2%,最低节能比例也能达到7.8%,由此证明设计的方法具有一定研究价值。

机电设备故障维修与维护保养技术的运用研究

机电设备对各个行业的发展具有重要意义,其运行质量关系着企业的生产和经营。但在设备使用时间较长的情况下容易发生各种故障,导致机电设备整体运行受到阻碍和限制。因此,企业需要在使用中采用合适的保养和维修技术,减少故障发生概率。由于上述原因,文章分析机电设备的故障维修技术和维护保养技术,以期为机电设备的稳定运行提供建议。

一种新型灸疗烟雾净化设备的开发及其性能分析

艾灸作为一种传统的中医疗养手段,在各大医院、养生馆甚至居民自家都得到应用广泛,然而灸疗燃烧艾柱等产生的浓烈烟雾却是一个难以解决的问题,这类烟雾化学成分极其复杂,含有上百种化合物,其中许多诸如苯酚、氮氧化物、一氧化碳、多环芳烃、焦油等有毒有害物质。那么施灸过程中扩散出来的烟雾处理就显得尤为重要,在保证正常灸疗的前提下,针对扩散出来的烟雾开发出一套集成燃烧加热系统、反应系统、散热系统、进排气系统及控制系统的新型净化设备,通过物理吸附、燃烧化学反应、氧化还原催化反应的手段,将艾烟气体导入设备回型流动燃烧、高温催化处理并达到室内外排放标准,也解决为烟雾处理提供400℃以上高温环境的升温保温问题、高温排气降温到45℃以下的安全防烫问题,让设备同时满足排放环保需求及安全需求。该集成方案机械结构紧凑、设备小巧,可以拓展灵活应用于更广泛的领域,主要是针对有排放扩散有毒、有害气体的环境,都可以起到净化效果。

电气自动化技术在煤矿机械设备中的应用

随着电气自动化技术在煤矿机械设备中的应用不断深入,煤矿产能得到显著提升,煤矿作业中的污染情况也得到了控制。文章研究了电气自动化技术在煤矿机械设备中的应用领域和应用趋势,包括物联网技术与自动化技术融合、状态检修融入生产线等,以期提高电气自动化技术的应用水平,提升煤矿企业的生产能力、安全水平及综合效益。

苏州11号线车站公共区空间一体化创新设计研究与实践

苏州11号线车站公共区空间一体化创新设计强调车站建筑空间与机电及装修空间的融合与统一,通过对车站建筑空间骨架的创新搭建、机电系统筋脉的合理重塑、装修及终端设备表皮的严格把控,在持续不断地设计深化与实践中,充分优化整合各自空间需求,使三者相互协调、相互依存、互为表里,最终打造出形式新颖、功能完备且具有艺术美感的车站公共区空间,为乘客出行营造了一种全新的车站空间体验。

基于CDIO的高职机电一体化专业课程教学改革探究

CDIO教学理念的核心内涵旨在培养学生的创新意识、系统思维和实际操作能力,使其在毕业时具备从事现代工程实践所需的专业素质。文章探讨如何将CDIO理念融入高职机电一体化专业的课程教学中,并通过对课程体系重构、教学内容优化、教学方法创新、教学评价改革等方面的深度探索,力求构建符合CDIO工程教育理念的高职机电一体化专业课程教学新模式,进而有效提升该专业学生的工程素质和就业竞争力。

基于SolidWorks Electrical的机电一体化教学研究

现阶段高校在进行机电一体化课程建设时,往往理论知识较多,而实践机会较少,因此在学习机电一体化课程时,往往出现学生难以理解,导致学生的设计作品往往都因为经验不足而不理想,通过引入solid electrical系列软件,在虚拟三维空间中对机电一体化设备进行设计并加以改进,可以大大的缩短设计周期以及降低设计成本,而且还能够有效的提高产品设计的成功率。

Determination of rock mass integrity coefficient using a non-invasive geophysical approach

Determination of rock mechanical parameters is the most important step in rock mass quality evaluation and has significant impacts on geotechnical engineering practice.Rock mass integrity coefficient(KV)is one of the most efficient parameters,which is conventionally determined from boreholes.Such approaches,however,are time-consuming and expensive,offer low data coverage of point measurements,require heavy equipment,and are hardly conducted in steep topographic sites.Hence,borehole approaches cannot assess the subsurface thoroughly for rock mass quality evaluation.Alternatively,use of geophysical methods is non-invasive,rapid and economical.The proposed geophysical approach makes useful empirical correlation between geophysical and geotechnical parameters.We evaluated the rock mass quality via integration between KV measured from the limited boreholes and inverted resistivity obtained from electrical resistivity tomography(ERT).The borehole-ERT correlation provided KV along various geophysical profiles for more detailed 2D/3D(two-/three-dimensional)mapping of rock mass quality.The subsurface was thoroughly evaluated for rock masses with different engineering qualities,including highly weathered rock,semi-weathered rock,and fresh rock.Furthermore,ERT was integrated with induced polarization(IP)to resolve the uncertainty caused by water/clay content.Our results show that the proposed method,compared with the conventional approaches,can reduce the ambiguities caused by inadequate data,and give more accurate insights into the subsurface for rock mass quality evaluation.

考虑电-氢一体化的微电网低碳-经济协同优化调度

针对微电网中缺乏对碳排放流特性的精确刻画,导致运行层面中微电网的低碳运行方式和经济运行方式之间矛盾凸显,低碳和经济难以兼顾的问题,构建了计及绿电制氢和多能耦合的电-氢一体化运行框架,提出了综合考虑碳排放流和低碳需求响应的微电网低碳-经济协同双层优化调度模型。上层优化调度模型中,以风光储氢一体化工业园区为典型微电网场景,以低碳性和经济性协调最优为目标,将源侧碳交易机制融入调度决策目标中,充分挖掘微电网低碳-经济协同运行方式,以此制定微电网最优低碳经济调度策略;下层低碳需求响应模型中,以微电网用户碳减排所节约的碳排放成本为激励信号,通过建立微电网能量流与碳排放流的映射关系,实现碳排放责任的转移和分摊以及对微电网运行中的碳排放特性精细化评估,进而建立由负荷碳排放强度时空差异性引导用户参与碳减排策略的低碳需求响应(demond response,DR)模型,深入挖掘微电网源-荷间的低碳性和经济性间的协同性。以某工业园区微电网为例,验证了所提模型能有效兼顾系统的低碳性和经济性。

基于蓝牙的Android平台建筑机电设备运行数据监控研究

建筑机电设备的监控主要由数据采集、显示、数据输出等部分构成,运行数据的监控设备多为专用设备,通用性和便携性普遍比较差。现场数据传送需有工业控制计算机,有一定的制约性,价格昂贵。针对以上问题,论文研究的建筑机电设备运行数据监控系统可以运行在具有蓝牙功能的Android移动终端上。在远程链接、数据通信、移动监控等方面,发挥蓝牙的无线通信功能优势,使得传统建筑机电设备运行数据监控领域所普遍采用的数据采集器大部分功能得以低成本实现。由此,用移动智能终端设备便可取代工业控制计算机,实现建筑机电设备远程数据传送及运行数据查询等功能,降低产品成本。

机械设备电气故障自动检测系统优化设计

当前系统不能有效消除干扰信号,数据采集精度低,影响机械设备电气故障诊断,为此设计一种新的机械设备电气故障自动检测系统。采集电气故障检测数据,提取电气故障特征,根据特征判断机械设备的电气故障原因,计算纠正参数完善电气故障检测结果,线性处理电压检测曲线,完成机械设备电气故障检测。测试结果验证,所提系统能够有效消除干扰信号,保证整体功能运行稳定,相对于对比系统,响应时间更短,数据采集精度得到明显改善。

基于线上线下教学的实践性教学研究

机电设备安装与调试课程的实践性较强,其内容包括机械设备的安装与调试和电气设备的安装与调试。实践性较强的课程单纯采用线上教学模式或者线下教学模式,教学效果都不是很理想。线上线下的教学模式融合了线上教学和线下教学的优点,有效弥补了传统教学模式下的缺陷。机电设备安装与调试课程采用了线上线下的教学模式,提高了教学效率和教学质量,取得很好的教学效果。在互联网信息化背景下的新型教学方式,可以在职业院校开设的其他实践课程中推广。

水利工程机电设备标准化管理编码初探

水利工程机电设备是工程管理的重要组成部分,也是实施标准化管理的重点内容。特别是在推进水利工程信息化建设的过程中,需要对各类机电设备的编码规则进行统一,使得每个设备对应唯一的编码,提高设备标准化管理水平。本文介绍了江都水利枢纽各闸站工程机电设备的编码规则和具体编码方法,并提出注意事项和部分合理化建议,供相关水利工程管理单位参考。

船舶系统交互式电子手册工程化研制与改进

交互式电子手册(Interactive Electronic Technical Manual,IETM)是实现装备技术资料数字化的重要手段,而船舶的IETM研制工作繁复,涉及保障性分析和三维虚拟维修等多种关键技术,尤其是针对船舶全系统装备的IETM研制工程的组织和管理难度较高。对此,面向船舶装备的保障性需求,参照装备软件研制过程,采用系统工程思想优化IETM研制管理模型,分析我国船舶系统IETM研制工程存在的问题并提出改进建议。相关研究成果已在某大型船舶的全系统IETM研制项目中得到应用,基本上能满足该船的技术资料数字化运用和管理要求。

神东煤矿机电设备大型部件安全库存分析

为探讨煤矿机电设备大型部件安全库存的必要性以及对煤企安全生产的影响,通过调研国能神东机电设备大型部件库存的现状,给出了保障国能神东煤矿机电设备大型部件安全库存的具体措施。分析认为,开展机电设备大型部件库存统计对实现国能神东在管理上的提质降本增效有重要的作用,且在实践中应建立一套符合神东模式的机电设备大型部件安全库存储备标准,有助于为设备管理提供科学精准的参考。

一种光机电一体化增量式光电编码器设计

为解决现有轴柄式控制增量编码器损耗高、寿命短、抗振动能力差、可靠性低等问题,介绍一种光机电一体化的增量式光电编码器设计方案,包括32内花瓣轴套和可伸缩滚珠定位、Z型遮光盘设计和红外光敏OC开路输出电路等创新设计。通过精密结构设计和材料选择,实现了高精度32档位电信号转换。采用三维建模和有限元分析进行了结构可靠性验证。通过与国外同类产品的技术指标对比,验证数据和所达到的环境适应能力。本研究在性能、结构和成本等方面皆有优势,应用前景广阔。