Oyster is one of the largest cultured shellfish in the world, though it remains a challenge to shuck oysters automatically by mechanical systems, which has attracted interests of research for a long time. We design a low-cost high-temperature steam beam to heat the adductor muscle attachment area with high precision to shuck the oysters. This approach, compared to the overall heating processes, causes much less damage to the quality and physiological structure of the oysters. The key issue of our method lies in locating the adductor muscle outside of the shells as there is no obvious feature of judgment due to the irregular shapes and variant sizes of the oysters. To this end, we proposed a deep learning method for predicting the position of the adductor muscle based on the YOLOv3 algorithm. In this paper, we establish an image dataset containing 520 oyster pictures, 120 of which are labeled pictures. These images are trained in the deployment environment of GTX 1060. Experiments show that the accuracy of the model is up to 99.5%, the prediction accuracy of the adductor muscle position reaches 79.17%, and the average time to detect one single image is around 0.03s.
According to the comprehensive test requirements of commercial and self-developed marine sensors carried on the Smart Float, an ocean sensor integrated interface platform is developed, which is composed of underwater connection unit and shore-based control center. The underwater connection unit contains the main controller, serial port server, Ethernet switch, and remote transmission equipment, etc. and it communicates with the shore-based control center through a twisted-pair or armored cable. The underwater connection unit is designed to implement the functions of power management, sensor electric current monitoring, environment temperature monitoring, and data self-storage, while the shore-based control center is designed for remote control, curve drawing, and data storage. The offshore test results indicate that our design provides an efficient and stable platform to simulate the Smart Float, ROV and HOV interfaces, and carry out the integrated connection test for the marine sensors. It demonstrates the outstanding ability for the comparison of self-developed sensors and commercial sensors, as well as the scientific application of carbon storage and oxygen capacity
Laser induced breakdown spectroscopy (LIBS) is a type of atomic emission spectroscopy which uses a highly energetic laser pulse as the excitation source. The laser is focused to form a plasma, which atomizes and excites samples. The formation of the plasma only begins when the focused laser achieves a certain threshold for optical breakdown, which generally depends on the environment and the target material. Thereby, the detection and spectral analysis of the elements contained in the object are realized. However, the traditional LIBS system cannot achieve non-contact adjustment. When detecting objects underwater, the optical path is fixed and cannot be re-adjusted to accommodate the external environment. In this paper, the optical path system is integrated into the pressure cabin and controlled by a microcontroller unit. The host computer is connected to the microcontroller unit through the TCP/IP protocol. Then the focus of the optical path and the brightness of the illumination source can be adjusted by the PC through the host computer. An underwater HD camera is controlled by the host computer to realize in-situ detection and monitoring of the elements contained in the underwater object. Compared with the traditional LIBS system, the advantage of this system is that the underwater non-contact optical system can be adjusted and focused by the host computer. At the same time, the underwater object can be monitored by the high-definition camera to realize the in-situ detection and monitoring of the elements contained in the underwater object, so as to achieve accurate underwater positioning.
A three-dimensional particle image velocimetry (PIV) system is introduced in this paper. Based on camera array light field technology and Tomographic PIV principle, this system is designed for the measurement of instantaneous or continuous three-dimensional velocity of the flow field section or for the measurement of instantaneous three-dimensional velocity within a volume. The camera array light field technology is capable of collecting four-dimensional light field data, and can flexibly adjust the observation field of view, focus position and depth of field through calculation processing. Therefore, combining the camera array light field technology with the Tomo-PIV a 3-dimensional PIV system is achieved. In this paper, the design and development of the system is presented, experimental results and analysis based on this system are discussed.
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