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www.sea-technology.com March 2016 / st 13 ments for possible scouring caused by the vessels, and increased port income. The Next Step In order to further improve the permanent port berth monitoring solution, the next natural step is to provide re- mote access to the data from the ports. This will facilitate the data collection process as it is transferred continuously to the K-Observer team in the offce. These days, there is a growing demand for connectivity and remote access. Al- most all monitoring activities are moving from the tradi- tional way of operating, requiring a more automated and remotely accessed way of working. Kongsberg Maritime is renowned for offering integrated system solutions, working under a single supplier strategy called "The Full Picture". An important part of this strategy is the Kongsberg Information Management System (K-IMS), allowing all operations to be performed remotely at any time from any place in the world. Interfacing the K-Observer system and K-IMS as one com- plete monitoring solution is changing the future. K-IMS The K-IMS is a collaboration platform developed for the offshore and maritime industry. K-IMS is designed to en- able continuous access to data both on board and onshore through a secure, interactive Web-based solution and to provide an effcient information fow. The main purpose of the system is to share data and information between users and systems involved. All interaction with the system is role- based, with secure authentication and authorization to en- sure that the right information is available to the right user at the right time. The K-IMS portal is a visualization tool where users can confgure their own dashboard displays. These displays can be run in live mode, which is updated continuously, or in playback mode, which provides histori- cal playback of scenarios in the displays. The system further allows for notifcations triggered by data sets sent directly to the user via email. K-IMS includes several tools that may be relevant for use in port monitoring. These include report templates for cus- tomizing reports of various types. All these reports can be generated at regular in- tervals to simplify the data collection process. In addition, the trend tool is useful as it supports multiple trends, storing and data analyzing tools in order to facilitate the process of comparing and storing data. The data export tool is another valuable instrument, supporting the export of average values or raw data for a specifc period in order to moni- tor changes to the seabed over time. In general, K-IMS contributes to providing the user with improved decision making and support, ensuring that service needs can be solved instantly and remotely. Conclusion K-Observer is a fully au- tonomous long-term moni- toring system that, when in- terfaced with the DAS sonar, can generate good-quality data that can be used for various scour and structural 3D monitoring applications. The tests performed during a period of 10 months at Port of Hamburg showed that the system is able to automatically detect and vi- sually recognize on 2D and 3D graphs small changes on the seabed and generate an alarm accordingly. Furthermore, the permanent port berth depth monitoring is an emerging application, which will provide direct fnan- cial and safety benefts to the ports. Vessel operators will have direct, live access to the latest berth conditions, which will make them more secure in making the right decisions. Finally, interfacing the K-Observer system and K-IMS into one complete monitoring solution will greatly improve port monitoring by providing continuous online data access. By providing "Full Picture" solutions, Kongsberg offers the fu- ture of connectivity, remote control and big data. ST Pavel Kapricheski was trained as an army engineer in Macedonia and holds a master's in technical sciences in construction engineering from University of St. Kiril and Metody. He also holds a master's in geomatics, hydrography and hydrographic surveying category A from Hafen City University in Hamburg, Germany. He currently works as a product and applications manager for Kongs- berg Maritime SuMo. Hans Ellingsen holds a master's in data science from the University of Oslo. He has been working in numerous roles at Kongsberg Maritime since 2008 and is currently manager for the after-market of the Kongsberg Information Manage- ment System (K-IMS). (Top) Cross section of the data on the location of the reference sphere, before and after the de- ployment. (Middle) K-Observer is a fully autonomous long-term port monitoring system. (Bottom) Point cloud showing sandbags and refer- ence sphere. Inset shows object de- tection simulation using reference sphere.