Real-time, accurate and reliable monitoring of marine environmental information plays a crucial role in marine disaster warning and prediction, disaster prevention and reduction, marine resource development, and ensuring marine safety. In recent years, with the continuous development and upgrading of global navigation satellite systems (GNSS), the detection of atmospheric and marine environmental information based on GNSS navigation signals has become a new method and a hot research topic in the marine environmental monitoring technology. This method has been widely applied to domains such as marine meteorological monitoring and numerical forecasting. This article systematically reviews the current research status of the GNSS technology in marine environmental monitoring, including effective wave height, wind speed, rainfall intensity, water vapor and tide level monitoring. Furthermore, this paper systematically summarizes new technologies and methods and looks forward to provide reference for the future research in related fields.
Underwater biological object detection is crucial for aquaculture, endangered species protection,and ecological environment monitoring. This study comprehensively analyzes the applications of various deep learning methods in underwater biological object detection. The commonly used underwater biological object detection datasets are introduced. The state-of-the-art underwater biological object detection methods are classified, analyzed, and summarized by two stages and one stage. The actual applications of various detection methods are thoroughly described, and the advantages and disadvantages of their optimization strategies are analyzed and summarized. Future works in the field of underwater biological object detection based on deep learning are presented. This study provides a reference basis for researchers in the field of underwater biological object detection.
Water dynamics analysis was conducted on a compact and portable autonomous underwater vehicle(AUV) with side-scan sonar and amodified AUV with streamlined side-scan sonar. The analysis focused on examining the drag forces experienced by both AUVs at different speeds. The results demonstrated that the streamlined side-scan sonar effectively reduced pressure and viscous drag forces, resulting in an overall drag reduction of 15.4% at a normal speed of 3 knots, with a 9% reduction in viscous drag and an 18% reduction in pressure drag.At a high speed of 6 knots, the overall drag was reduced by 10.1%, with a 4.2% reduction in viscous drag and a 12% reduction in pressure drag. These findings demonstrate that optimizing the streamlined design of the AUV with side-scan sonar can effectively enhance the dynamic performance of the AUV, reduce its drag force, and improve its efficiency and performance.
This study proposes an efficient wave sensor fault diagnosis method based on wavelet packet decomposition, dimension reduction, and k-nearest neighbor algorithm(KNN) classification network to address the difficulty of wave sensor fault diagnosis, unidentifiable fault types, and time-consuming diagnosis. First, the standard deviation of the original signal is normalized. The normalized data is then subjected to a three-layer wavelet packet decomposition. The extracted feature vectors represent normalized data from the eight bands on layer 3. The second step involves using the t-distributed stochastic neighbor embedding (t-SNE) algorithm to reduce the dimension of the feature data. Finally, the dimension-reduced feature data is input into the KNN classification network for fault classification and detection. Experimental results show that the proposed method can improve the accuracy and diagnosis speed of the wave sensor fault diagnosis, with a diagnosis accuracy of up to 93.55% for normal and six faulty conditions.
Based on the actual marine hydrological data obtained from apredetermined sea area, a submerged buoy system is established herein for performing electromagnetic measurements using the lumped mass method. Further, the balance stance of the submerged buoy system and the tension distribution of the cable are simulated and analyzed. The results show that the design of the system has maintained a good linear correlation between the measurement nodes; the linear correlation coefficient is maintained above 0.995.The counterweight buffer cable can achieve good antiwave buffer effect. The analysis of field trial data at the sea shows that the submerged buoy system with a static buoyancy of 600 N, a buffer cable length of 150 m, and a counterweight of 40 m and 1 N/m can form a U shaped buffer belt with a buffer depth of 21 m when the surface current velocity is 0.5 m/s, which is consistent with the results of simulation analysis.
As the acoustic detection of seabed cold springs requires accurate information of bubble characteristics, this paper develops a simulated observation system for the gas leakage of seabed cold springs with high control accuracy and full functions based on the bubble distribution characteristics of real seabed cold springs.The gas flow is precisely controlled viathe fuzzy PID control algorithm. Compared with the conventional control method, the flow error rate can be reduced by up to 1.5% and the cold spring bubbles in the real environment can be simulated accurately and controllably. The dual cameras are driven viaan Ethernet synchronous trigger, and thesynchronized shooting reduces the shooting synchronization error range by 1.1 ms.The system accurately realizes the orthogonal synchronous observation of the bubble shape in the initial overflow stage and provides data support for the detection of seabed cold springs.
To investigate the operating performance of breakwater integrated with an oscillating water column wave-energy converter, a model experimental study was performed in the wave flume. An air turbine and an electric generator were used for converting pneumatic power to electricity. Performances of the device under different incident wave conditions were examined. The results show that the wave period has a considerable effect on the performance of breakwater integrated with an oscillating water column and the device shows better performance under long wave period conditions. The device represents low energy conversion efficiency when the incident wave height is small.
Analysis of the factors influencing target detection in sea clutter area through a compact high frequency surface wave radar
In this study, theoretical and statistical analysis of relevant influencing factors, including the signal coherent accumulation time, connection between the vessel navigation state and sea clutter area and the joint domain study of measured data, are conducted to facilitate the detection of target vessels from the sea clutter of a compact high frequency surface wave radar. The obtained results provide a range of signal coherent integration time. The results show that the potential dwell time of long-distance non-maneuvering target in sea clutter is over the signal coherent integration time. Furthermore, the Doppler variation induced by the non-maneuvering targets in sea clutter is limited. However, the sea clutter and non-maneuvering targets exhibit major differences in the space-time and polarization domains, which can be considered as an important criteria for target detection from sea clutter.
Evaluating the performance of external-drive rotary pressure exchanger with tilted rotor runner
In this paper, the ocean-atmosphere-wave coupled model, COAWST, was used to conduct two sets of 72hour simulation tests centered over the East China Sea. The impacts of dynamic wave processes on shortterm weather simulation were analyzed by comparing the two tests, one of which considered the dynamic wave processes and the other not. The results revealed that the simulation of sensible and latent heat flux would be enhanced if considering the wave processes. Consequently, wetter and warmer air at the sea surface was detected, leading to lower sea level pressure (SLP) and acceleration on convective activity. The changes of circulation would strengthen the local wetter and warmer difference, which made for the generation of positive feedbacks. The wettest and warmest difference was detected over the northwestern area of the South China Sea along with the Philippine waters. In addition, the difference would decrease with the height, and finally disappear near the 500 hPa height.
Since the existing ocean buoys lack effective monitoring and management of the power supply, a method based on LabVIEW and SQL server programming, combining with C8051F021 microcontroller hardware, was put forward. The shore station terminal server monitoring software and the hardware circuit installed on the buoy were designed. By means of realtime communication such as network or Beidou communication, the realtime monitoring and management of the power supply on buoy was realized, and the ability of utilizing and managing the power supply on buoy was improved.
By focusing on the bottleneck of network transmission performance in the distributed sharing of ocean spatio-temporal monitoring data, the representation and transmission mode in distributed cloud computing environment was proposed to establish an efficient service-oriented sharing framework for ocean spatiotemporal data. While adopting GML, KML and GeoJSON to encode ocean observing data, a data transmission mode based on real-time compression was proposed. The applicability of compression algorithms to ocean monitoring data enhanced the efficiency of data real-time transmission. Finally, based on the Ali cloud computing platform, a distributed GIS system for marine applications was designed and deployed as the testbed, and systematic experiments were conducted. The experimental results reveal that using the combination of GeoJSON and Deflate-6 / GZIP to establish the ocean observing spatiotemporal data representation and transmission mode shows better applicability and more outstanding performance advantages in distributed sharing and integration system.
According to the problems of the handheld launching method of expendable bathythermograph (XBT) , such as measurement disturbances from operators, an automatic drawing mechanism for the probe plug in the sea trials was proposed in this work. The lever was adopted here to magnify the tensile force in order to draw out the plug in limited stroke, which would make sure the full-automatic launching of expendable probes. The effectiveness and reliability of this mechanism has been verified by the corresponding laboratory tests. The success rate of probes deployment is over 95% and the mean time of the operation time is shortened more than 50%. The mechanism can also be used into various automatic launchers of expendable probes through a little configuration adjustment, which has a wide field of applications.
In order to effectively improve the accuracy of extreme value detection of weak photoelectric signal, through the analysis of the change rules of signals measured, a filtering algorithm for the extremum detection of the target signals with high precision was proposed, and the solutions to the signal detection under ideal conditions and strong interference conditions were also discussed. Firstly, in this algorithm, an improved dynamic threshold method was used to obtain the initial extremum data. Then the acquisition value was filtered by the combination of two kinds of filtering method, which were the median absolute deviation based moving filtering and the weighted average filtering. Finally, the extreme value of the signal was obtained. The test results show that the measurement results of the algorithm are consistent with the actual value, the minimum average relative error is controlled at about 0.1%, which meets the accuracy requirement. The accuracy and stability of this algorithm are higher than those of the traditional method. The research provides a certain reference for the high accurate measurement of peak and trough values of weak signals with different waveform.
In order to monitor the overall fuel consumption of ocean vessel in real time, a fuel consumption monitoring system was designed, which was based on flow collection, RTU remote transmission terminal and GPRS DTU technology. Firstly, the system was installed in the fuel filler to carry out measurement and monitoring, and ZigBee wireless communication technology was used to complete the wireless short distance transmission of data in realtime. Then RTU terminal was applied to collect and process data, and to control the output. Finally GPRS DTU module was employed to convey small amount of data to the shorebased platform in realtime. The practical application indicates that the system not only ensures the accuracy and realtime of fuel consumption information, but also can reduce the cost.