Research On Marine Fixed Radar Networking Oil Spill Monitoring Technologies

Marine oil spill accidents occur frequently. Acquiring oil spill monitoring information and arranging emergency work effectively in time are the necessary conditions of reducing the loss of country on the maximum extent. Oil spill monitoring systems are installed on the offshore platforms. Based on wireless network transmission equipments, analytical data are transmitted from the platforms to the shore-based command center database. This marine networking oil spill monitoring system architecture allows the shore-based command center to acquire oil spill information around the platforms in time. It can provide data bases for oil spill emergency disposal and safety supervision work. And it is one of the most important safeguard mechanisms of oil exploitation on the sea.Based on the characteristics of sea clutter, oil spill information can be detected by marine radar, which is one of the most effective marine oil spill monitoring methods. It can overcome the influence of rain, snow and other inclement weather. And it has the ability of all-time, all-weather, large-scale oil spill monitoring. According to the marine radar oil spill monitoring principle, fixed radar networking oil spill monitoring system was elaborated from the aspects of needs analysis, system design, database design, hardware and software environment, function design and implementation in this paper. First, electronic chart data in CARIS HPD were converted by ArcGIS as base data. Then marine radars were fixed installed on the platforms. And technologies of Spx radar information development, ArcGIS Engine components, ArcGIS Server network publishing, ArcGIS SDE spatial database engine and network transmission were applied to implement the modules of data acquisition, data analysis, data transmission and data display.Oil spill trajectory playback model was established by coordinate transformation, space projection, space object dynamical generation and so on. It can replay oil spill accidents dynamically. And it can provide the bases for accident responsibility identification and analysis of oil slick drift trend. Methods of data optimization, mixed formats tiles optimization, scales optimization, map services overlay, and on-demand cache strategy were used to enhance the performance of ArcGIS Server network data application effectively.