Data Processing News

Credit: DNV

DNV, Partners Working on Automated Verification of Offshore Wind Turbine Inspection Results

DNV has launched a research project to develop an automated data processing method for verification of detected wind turbine blade defects.The aim of the research is to build trust and generate broader acceptance of automated data processing techniques across the industry and to inform future regulation, DNV said.The research project is being conducted in partnership with the University of Bristol and Perceptual Robotics. It will investigate the automated verification, validation, and processing of inspection data, collected by autonomous drones, to improve inspection quality and performance. The

Credit: Rocsole

Finland-based Pipeline Inspection Firm Rocsole Wins Another OTC Award

travels through a pipeline and collects comprehensive information on deposition build-up thickness, type, and location."This safe and non-invasive technology works in various process environments without a need for production interruption and enabling fast reporting of results with AI/ML-based data processing," the company said.“Being rewarded the Spotlight on New Technology award second time in a row is a huge recognition for Rocsole’s technology and application development. We are happy to launch technologies that bring new understanding and insights on processes that have been

32,000 miles of Alaskan coastline pose a challenge and an opportunity for Satellite Derived Bathymetry. Technologies developed to survey water clarity in daily satellite imagery (upper right inset) can be used as a tool to determine precise collection of high-resolution imagery for Satellite Derived Bathymetry surveying (lower right inset). Image courtesy TCarta

TCarta Wins NOAA Grant to Enhance Satellite Derived BathymetryTech

Phase I result was the development of automated tools to assess water clarity in daily satellite images to monitor water clarity for suitable conditions for SDB image tasking or planning airborne LiDAR surveying, Goodrich added.In Phase II of the NOAA program, TCarta has shifted focus to SDB data processing and hydrographic analysis by developing new ways to improve confidence in the seafloor depth measurements derived from Alaskan imagery. The Colorado firm is creating workflows involving Artificial Intelligence to identify and minimize errors in SDB measurements, predict uncertainty and to integrate

MMT Inks Nord Stream AG Deal

the original contract awarded in 2017. One of the key advantages from this continued collaboration is the development resulting from the experiences gained during the last four years. This allows for significantly reduced costs and increased efficiency by high-speed survey operations and automated data processing workflows.Project Management, engineering, remote and post-processing will be performed from MMT Sweden’s office in Gothenburg, Sweden. Offshore operations will occur in Q1-Q2 2021."After four years of successful inspections of the Nord Stream Pipelines, we are very proud to again

A remotely operated vehicle (ROV) moves along the length of the pipeline, equipped with digital cameras and specific sensors. The data and footage is analysed to assess the integrity of the pipeline. (File Photo: Nord Stream AG)

Reach Subsea, MMT in 3-year Nord Stream Pipeline Inspection Deal

contract awarded in 2017. One of the key advantages from this continued collaboration is the development resulting from the experiences gained during the last four years. "This allows for significantly reduced costs and increased efficiency by high-speed survey operations and automated data processing workflows. The 2021 scope under the new contract will be executed in 1Q-2Q," Reach Subsea said, without sharing the financial details of the agreement.In 2020, Nord Stream AG transported 59.2 billion cubic metres (bcm) of natural gas to consumers in Europe through the Nord Stream Pipeline

The Sea Machines-enabled autonomous vessel Sigsbee conducts survey missions seven days per week, effectively doubling the conventional productivity. (Photo: DEA)

Unmanned Vessel Launched to Survey Western Galveston Bay

Services' Jon Dasler, PE, PLS, CH; senior vice president and director. “We see autonomy as the future of hydrography and have enjoyed working with Sea Machines and additional software vendors for continued improvements in autonomous operations and the use of artificial intelligence in data processing.”In May 2020, Sea Machines announced that Deep BV, of the Netherlands, would upgrade operations with the SM300 to conduct unmanned hydrographic surveys. Deep’s vessel, operating in multiple areas of the Wadden Sea, has been regularly commanded and controlled by personnel situated

Credit: Cyprus Subsea Consulting and Services

Subsea Europe, Cyprus Subsea Partner Up

buoys    Wave, current, and water quality monitoring with gliders or buoys    Pre- / Post-Dredging Surveys and Progress Monitoring    Object search (anchor chains, tools etc.)    Cable Route Surveys (incl. depth of burial)    UXO Surveys    Data Processing and Evaluation    Project Management and Client Representation 

Photo: Subsea Europe Services

VIDEO Interview: Subsea Europe Services: Driving the ‘Survey System-as-a-Service’ Business Model

also autonomy of the platform carrying the sensor system, which from our perspective are two separate topics. In particular the autonomy of the sensor system requires the use of artificial intelligence moving forward, which we believe is the second important driver here. There will be no autonomous data processing and evaluation capabilities without AI, neural networks or supervised learning. This can be problematic because we have sufficient data available in the Maritime domain, but not sufficient proven interpretations of the data to train the network. That's a hard nut to crack for the future

Recovery of Autosub 6000 following BioCam dive. Image: Sonardyne

Seabed Imaging Re-imagined

– a rate 40 times that of conventional high resolution imaging systems. By the end of this dive, it had already created the largest continuous visual map of the seafloor ever obtained in UK waters, and went on to map more during the rest of the expedition. The project has also developed a data processing pipeline which provides expedition time-scale information that helps scientists know exactly where they should go back to get better data, during the same expedition – instead of such information emerging from the data months or even years later, when it’s too late to do anything

Marine Technology Reporter takes a deep dive into Oceanography in its February 2021 eMagazine edition, including insights on the GO-BGC Array Project to Monitor Ocean Health.
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