摘要
为准确掌握无图纸资料渔船的技术状况,实现渔船的有效检验和管理,提升我国渔船技术水平,促进渔业健康持续发展,在实船测量、扫描和数据处理的基础上,对无图纸资料渔船的技术评估和图纸还原工作进行了研究探讨。研究认为,应首先通过现场人工勘测获取渔船的总布置、主体结构状况和机电设备配置等信息,通过精准线型扫描获取渔船的线型数据,通过倾斜试验获取渔船的重量、重心信息;然后利用CAD软件将人工勘测获得的数据还原渔船的总布置图、机舱布置图、舾装布置图等,利用三维扫描处理软件将获得的点云数据转化为渔船的型线图,用NAPA软件进行三维建模;再结合倾斜试验获取的渔船重量、重心数据,按照现行的检验法规对渔船的稳性进行核算。结果表明,使用科学精确的手段进行技术状况评估和图纸资料还原后,可以对渔船的稳性及其它性能是否符合法规要求做出判断,对不符合要求的渔船可以提出相应的解决方案。
In order to learn the technical condition of fishing vessels without design drawings, realize their effective inspection and management, improve their technological level and promote the sustainable development of fisheries, research has been conducted into the technical assessment and drawings recovery of these vessels based on real vessel measurement,scanning and data processing.It shows that on-site artificial reconnaissance should be first carried out to obtain information on the vessel,s overall layout, main structure, machinery and electricity equipment etc.,and to get the molded lines information by three-dimensional laser scanning as well as the weight and gravity center information by inclining test. Next, using the data from the reconnaissance,the drawings of the overall layout,engine room layout,outfitting layout etc.could be recovered by AutoCAD , the point cloud data could be transformed into the molded lines of the vessel by 3D laser scanning and 3D numerical model could be built using NAPA . Then,based on data gained from the inkling test,the stability of the vessel could be calculated following the current inspection regulations.The results show that,through the precise technical assessment by scientific methods and the drawings recovery,judgement could be made on whether the vessel complies with regulations in terms of its stability and other attributes, and countermeasures could be proposed for those that cannot meet the requirement.
出处
《渔业现代化》
北大核心
2017年第2期67-71,共5页
Fishery Modernization
基金
农业部远洋渔业资源调查与探捕项目"远洋渔船标准化研究和标准化船型设计论证"
关键词
渔船
技术状况评估
图纸还原
人工勘测
三维激光扫描
倾斜试验
fishing vessel
technical assessment
drawings recovery
artificial reconnaissance
3D laser scanning
inclining test