1、Sustainable observation technology for deep-sea information flow

Deep-sea information flow refers to the process of marine observation information acquisition, transmission, storage, calculation and publication. The information flow can apply the observation results in correcting acquisition methods at a deeper level to improve the observation accuracy, efficiency or energy saving properties, forming the ‘information flow’ of marine observation.

The key points that require more research and attention in deep-sea information flow include the reduction of costs, extension of operational time, establishment of continuous observation, acquisition and integration of effective information. Besides, comparing with the traditional marine observation networks, the construction of an information system framework that is more economical, intelligent, compact and adaptable is also included. 

2、Deep-sea sensing detection technology

The sensor group is mainly engaged in the research of deep-sea sensing and detection technology, focusing on the needs of marine environmental observation, overcoming key technologies such as sensitive component packaging and low-drift measurement suitable for deep-sea observation, and developing pedigree deep-sea sensors to improve the ability to obtain marine environmental data.

3、The deep-sea autonomous unmanned vehicle and intelligent control technology

The deep-sea autonomous unmanned vehicle team focus on the research and development of autonomous underwater equipment in the deep sea and its intelligent control technology. Driven by actual application needs, through the research and development of new equipment and rapid upgrading and iteration, gradually build a cluster of autonomous underwater equipment in the deep sea to provide support for the construction of a substantive underwater unmanned operation capability system. Focus on the research of equipment technology and theoretical methods such as deep-sea archaeological exploration operations, long-term mobile observation on the seabed, exploration of targets in complex areas, coordination of manned / unmanned equipment, intelligent motion control of deep-sea equipment, perception of the operating environment, autonomous target recognition, monitoring of operating conditions, virtual reality testing, etc., and developed a series of autonomous underwater equipment in the deep sea such as the deep-sea archaeology AUV, the deep-sea landing vehicle, and the dual-mode intelligent AUV.

4、The development of multi-mode unmanned vehicles

The innovative UMV (Unmanned Marine Vehicle) technology group mainly engages in the development of new types of unmanned marine vehicles, focusing on the development of multi-mode unmanned vehicles that have both surface and underwater navigation capabilities.

5、Beam forming, Signal Processing, Target Detecting, Sonar Imaging

Based on the principle of marine acoustic propagation, research on hydroacoustic signal processing technology and underwater target characteristics, obtaining diversified marine environmental parameters, including seabed geomorphology, near-bottom targets, moving targets in the water, and current information, etc., research and development of multibeam side-scanning sonobuoys, full-depth time-differential current meters, and full-depth multibeam front-view sonobuoys, and other acoustic detection equipment, to solve the problems of target detection, obstacle avoidance, and perception at depths of up to 6,000 meters. It will further research and develop the integrated information processing system for communication, detection, positioning and navigation, enhance marine transparency, and provide localized acoustic equipment for detection, obstacle avoidance, rescue and scientific research of underwater operation platforms.

6、Passive acoustic monitoring, advanced signal processing, and deep-sea learning

We are a passionate and dedicated team specializing in underwater acoustics, marine ecology, and environmental monitoring. With a strong foundation in cutting-edge research and technological innovation, we strive to understand and protect our planet’s aquatic soundscapes. Our expertise spans passive acoustic monitoring, machine learning for complex sound analysis, and environmental impact assessments. Committed to collaboration and sustainability, we work closely with researchers, industry partners, and policymakers to develop solutions that balance human activity with the preservation of marine ecosystems. Together, we aim to make meaningful contributions to science, conservation, and the sustainable use of ocean resources.

7、Digital Image Processing, Signal and Information Processing

We are doing research in the field of underwater vision processing, including optical image and video processing, and sonar vision processing. We are mainly interested in image enhancement, object detection, target tracking, and so on.