In order to achieve real-time monitoring of the cutting status of plates and profiles during the manufacturing process of the upper module,four key technologies for data networking of cutting workshop equipment are analyzed.Based on actual cases,two cutting machine networking solutions are proposed:Option 1 uses an external data acquisition card;Option 2 is based on the distributed numerical control interface of the cutting machine to obtain hardware related information.Both solutions can interact with the workshop manufacturing execution control system through a local area network,automatically receiving equipment operation status information and feedback production data through external data acquisition cards and corresponding sensors.Multiple numerical control cutting equipment can be monitored simultaneously through a central control room computer,visually displaying electronic information such as equipment status,current processing tasks,and staff,achieving networked control of cutting equipment.
In order to realize the whole life cycle management of offshore oil and gas platform products,in-depth analysis of the manufacturing characteristics of offshore oil platforms,the basic common technical and normative requirements of intelligent workshop production,the research and development and design of production technology standards and system frameworks for offshore oil platform intelligent workshops,the establishment of offshore oil and gas platform intelligent workshop manufacturing architecture from all elements of shipbuilding resources,system collaborative integration,interconnection,multi-source data fusion and manufacturing execution,and the standardization of intelligent manufacturing from multiple key business links.Through the establishment of the production standard system of the intelligent workshop of the offshore oil and gas platform,the vertical integration from the equipment layer,the control layer,the management level and other levels in the intelligent workshop manufacturing process of the offshore oil and gas platform has been completed,as well as the horizontal integration of the production network across the manufacturing area,and the end-to-end integration of the whole life cycle of the product in each production stage.
In view of the problems such as high complexity of welding equipment, difficult monitoring of welding operations, and delayed feedback of welding information in sheet section workshop, the procedure flow and procedure parameters of T-beam welding robot in sheet section workshop are studied, and an online monitoring system of T-beam welding robot based on OLE(Object Linking and Embedding) for Process Control Unified Architecture(OPC UA) technology. The system is mainly used to conduct the online monitoring of production progress, equipment running status, and intermediate product quality of T-beam welding robot, to realize the real-time data collection and production process monitoring and analysis, which can eliminate the information island phenomenon among equipments, realize the production transparency in the workshop, improve the production efficiency, and ensure the welding quality.
针对船舶制造车间存在的生产与管理的信息交互不及时、信息采集效率低、生产过程掌控不足等问题,通过条码、射频识别(Radio Frequency Identification,RFID)、超宽带(Ultra Wide Band,UWB)和自动化装置接口集成等技术,进行车间资源数据采集与场地状态信息采集,实现场地、设备、人员、工装等与管控系统间的互联互通,完成车间场地的物流优化和布局优化,为船舶制造智能车间信息感知奠定基础.
利用二维码实现中间产品信息的索引,采用交互式多模型(Interacting Multiple Model,IMM)卡尔曼滤波法优化的飞行时间(Time of Flight,TOF)定位算法,实现中间产品的位置跟踪.根据船舶车间的标识定位需求,研发船舶中间产品标识定位系统,对船舶中间产品的加工工序、基本信息、位置信息等进行跟踪,为船厂备料套料、物流运输、加工监控等提供有力的数据支撑.
通过梳理国内船体分段制造车间存在问题,确定船体分段智能车间建设蓝图.以信息化及软硬件发展水平为基础,制订船体分段智能车间智能制造实施路径:开展2.0补课,推进3.0普及,实施4.0试点.提出船体分段智能车间建设思路,重点针对车间架构进行分析设计,旨在推进船企信息化生产管理.
针对海洋油气生产平台上部模块智能化建造需求,构建科学有效的信息安全防护体系,促进海洋油气生产平台上部模块制造企业的可持续发展,确保生产运营数据的安全,提升企业基础设施网络安全防护能力,开展对海洋油气生产平台上部模块制造企业工控系统网络信息安全的研究,建立适用于海洋油气生产平台上部模块制造企业发展的信息安全防护体系,通过完善的网络架构设计和科学的监管设计,确保企业生产运营时的网络安全.
大型风电塔筒设计直径较大,加工制作精度要求较高,而传统检测手段单一,无法保证检测精度和效率.文章提出采用全站仪及特殊工装,对大型风电塔筒实现快速测量,采用多点拟合方法计算圆心,进而获取塔筒圆度及直线度,在此基础上对塔筒制造精度进行评价.文章提出的测量方法较为简单,计算分析准确可靠,测量和计算效率高,已在国内某大型船厂推广应用.
为实现流水线和工位按节拍生产且产能最大化,车间作业计划与实际生产要素相匹配,分析船舶分段智能车间的作业对象和工艺流程,建立以薄板平面分段流水线为主线和传统工位为支线的工效模型,通过推拉结合的方式,实现船舶分段智能车间高级排程,为车间执行层提供有效管控手段,最后以国内某船厂豪华客滚船分段制造流水线为对象,验证该方法的有效性.
以提升船体车间物流数字化、智能化为目标,研究视图和存储、缓存处理、智能调度和数据联通等关键技术,为系统性能提升、数据展示、车间场地布局规划、分段调度及资源合理分配等提供技术支撑.对车间场地、运输设备进行仿真,实现车间场地物流的可视化展示;建立中间数据库,实现与制造过程数据文档管理系统(manufacturing Process Data document Management system,PDM)工作数据的联通;根据用户需求,制定车间建造物量工时统计分析看板,开发车间物流看板管理软件系统,完成车间内托盘、产品、场地资源的配送流程管理及状态可视化展示.对物流看板的发展前景进行展望,对船厂物流智能化提出建议.
从钢壳三维作业生产设计、钢壳智能化加工制造、工厂物联网建设和钢壳焊接管理等方面入手,探讨BIM技术在上述各方面的实施方法,实现BIM技术在船厂钢壳智能制造中对模型设计、交付、智能生产线集成、网络安全、物联网建设、人员设备监控、焊缝地图等功能的实际应用,为船厂在钢壳施工中所使用的设计系统、生产管理系统等与BIM技术进行有机结合,促进钢壳制造在BIM管理平台中的有效管控.
以设备的可编程逻辑控制器与各类传感器作为硬件层,以通信模块作为桥梁,进行以数据采集与监控系统作为软件层的综合性研究.通过大数据分析对船舶制造车间进行监控报警,达到数据采集的多样性、实时性,提高设备的综合利用率,降低能耗和设备维护保养成本.