five

舟山新奥LNG接收站码头水深测量预警数据

收藏
浙江省数据知识产权登记平台2024-07-30 更新2024-07-31 收录
下载链接:
https://www.zjip.org.cn/home/announce/trends/45868
下载链接
链接失效反馈
官方服务:
资源简介:
舟山新奥LNG接收站码头泊位位于舟山普陀区展茅街道梁横山西北侧。通过对该区域水深情况进行测量,可以为泊位船只航行停泊提供指引服务,为有关部门的科学管理和决策提供真实可靠资料和依据。基于浙江省连续运行卫星综合服务系统(简称ZJCORS)的网络RTK技术进行定位,开始作业前选取覆盖作业区域、分布均匀的4个以上控制点,求得坐标系间的转换关系,供测量定位时坐标转换使用。测深仪器则使用中海达超声波测深仪HD-MAX进行测深,利用HD-MAX海测软件接收ZJCORS信号,将接收数据进行相应转换后输入数据采集系统中,并以当地理论最低潮面作为深度基准,对收集到的数据进行水深图的拼接和检查,最终形成舟山新奥LNG接收站码头泊位水深测量结果图,反映测量范围内的典型地物、地貌、构筑物及平面、高程控制点及水深达标情况。

Zhoushan Xinao LNG Receiving Terminal Berth is located at the northwest side of Liangheng Mountain, Zhanmao Subdistrict, Putuo District, Zhoushan City. Conducting bathymetric surveys in this area can provide navigation and berthing guidance for vessels calling at the berth, as well as authentic and reliable data and basis for scientific management and decision-making of relevant departments. Positioning is carried out using network RTK technology based on the Zhejiang Continuously Operating Reference Stations (ZJCORS). Before starting the survey, more than 4 evenly distributed control points covering the operation area are selected to calculate the coordinate transformation relationship for coordinate conversion during positioning and surveying. The bathymetric instrument used is the Hi-target HD-MAX ultrasonic sounding device. The HD-MAX hydrographic survey software is used to receive ZJCORS signals, convert the received data accordingly, and input the converted data into the data acquisition system. Taking the local theoretical lowest tidal level as the depth datum, the collected data are mosaicked and checked to produce the bathymetric survey result map of Zhoushan Xinao LNG Receiving Terminal Berth, which reflects the typical features, landforms, structures, plane and elevation control points within the survey scope, as well as the water depth compliance status.
提供机构:
新奥(舟山)液化天然气有限公司
创建时间:
2024-06-19
搜集汇总
数据集介绍
main_image_url
特点
该数据集记录了舟山新奥LNG接收站码头的水深测量数据,包含测量点位、时间、坐标及水深等关键信息,用于船只航行停泊指引和科学管理决策。数据规模为1154条,每年更新一次,采集使用了网络RTK技术和超声波测深仪。
以上内容由遇见数据集搜集并总结生成
二维码
社区交流群
二维码
科研交流群
商业服务