83 results about "Ocean observation" patented technology

The invention provides an ocean wind field prediction method based on a neural network, and belongs to the technical field of ocean wind field prediction.The method comprises the steps that sparse ocean observation data are collected, a spatial covariance matrix is established, the spatial covariance matrix is converted into a graph structure, and then multi-hop neighborhood feature aggregation is conducted through a graph convolutional network; a tensor decomposition algorithm is combined for modeling high-order feature interaction to generate a gridding wind field, a bidirectional long-short-term memory network encoder is used for extracting space-time invariant features, a multi-layer perceptron predictor is used for directly mapping a future multi-step wind field, and a course learning strategy and a Shenchang differential equation boundary layer are matched for correction. The technical problem that sparse ocean observation data are difficult to accurately reconstruct into a high-resolution gridding wind field is solved.

The invention discloses an ocean three-dimensional temperature field reconstruction method and system, and relates to the technical field of data processing, and the method comprises the steps: obtaining multi-source heterogeneous ocean observation data and a numerical model background field, and generating an input feature group; performing feature extraction on the input feature group by using a double-branch encoder; the extracted features are input to a multi-head space-time channel attention fusion module for dynamic calibration and fusion, and deep fusion hidden variables are obtained; jointly inputting the deeply fused hidden variables and the numerical model background field into a decoder based on a conditional variation auto-encoder, generating high-resolution three-dimensional temperature field grid data, and synchronously outputting a three-dimensional uncertainty field; according to the method, the continuous, complete and high-precision ocean three-dimensional temperature field in the whole research area is reconstructed through a mathematical method and a physical method by utilizing limited, sparse, multi-source and heterogeneous ocean observation data, and the problem that the ocean three-dimensional temperature field generated in the prior art is not accurate enough is solved.

The invention provides an automatic processing method for real-time observation data of an ocean station, and belongs to the technical field of ocean observation data processing. A wavelet packet decomposition multi-scale noise separation algorithm is established to distinguish environmental noise and real signals, dual-sensor redundancy configuration is combined with Bayesian inference to identify sensor drift, and a calibration coefficient is updated in real time through a recursive least square method. A one-dimensional time sequence is mapped to a high-dimensional phase space by utilizing a phase space reconstruction algorithm to realize high-precision prediction of a chaotic signal, a hierarchical data storage architecture is established, and a data migration strategy is iteratively optimized through a hierarchical correlation degree function; the technical problem that time synchronization signals are difficult to reconstruct accurately according to asynchronous sampling data of multiple sensors of an ocean station is solved.

The invention provides a coastal water level prediction method based on multi-modal observation data, and belongs to the technical field of coastal water level prediction.The coastal water level prediction method comprises the steps that multi-modal ocean observation data of different sensors are collected, and a multi-scale space-time registration matrix is established to achieve space-time alignment of heterogeneous data; an ocean dynamic process feature extractor is constructed to recognize astronomical storm surge and wave features and calculate nonlinear coupling parameters, an adaptive space-time fusion algorithm is adopted to dynamically adjust weights according to data quality to generate a space-time consistency data set, and an ocean dynamic coupling strength discrimination model is established to determine a modeling strategy. And finally generating a coastal water level prediction product containing a predicted value confidence interval and risk early warning. The technical problem of insufficient coastal water level prediction precision caused by difficult effective fusion of multi-modal ocean observation data under the condition of spatial-temporal scale mismatching is solved.

The invention discloses an XBT-T5 observation data deviation analysis and temperature correction method, and relates to the technical field of ocean observation, and the method comprises the steps: obtaining the original temperature observation data of a target sea area based on an XBT-T5 front-end temperature sensor, calculating the depth, generating a temperature-depth profile, and constructing a temperature-depth database in combination with historical depth observation archive data; the method comprises the following steps: synchronously acquiring temperature and depth data by using a CTD temperature-salinity-depth instrument, and carrying out association pairing with a temperature-depth database to generate an XBT-T5 observation data deviation field under the same spatial-temporal scale; based on generation of an XBT-T5 observation data deviation field under the same spatial-temporal scale, designing a dual-channel adaptive encoder, and constructing a temperature-depth collaborative correction model; and according to the temperature-depth collaborative correction model, coupling the temperature-depth database and generating an XBT-T5 observation data deviation field under the same spatial-temporal scale, thereby realizing XBT-T5 observation data deviation analysis and temperature correction. The method improves the quality and application value of observation data.

The invention discloses a land-based data automatic receiving and preprocessing management system and method, and relates to the technical field of ocean observation data processing, and the system comprises a communication service subsystem, a data preprocessing subsystem, an intelligent perception linkage subsystem, and a data management subsystem. And full-process automatic processing of underwater acoustic real-time communication subsurface buoy observation data is realized through modular integration. Automatic receiving, safe storage and efficient preprocessing of deep sea power and biogeochemical element data are achieved, reliable data support is provided for marine scientific research and environment monitoring, and the long-term observation requirement of a 6000-meter water depth subsurface buoy system is met.

The invention relates to the technical field of international marine scientific investigation collaborative technology and mutual identification, and discloses an international marine observation data fusion and achievement mutual identification system suitable for joint scientific investigation. Comprising a multi-source data standardization access module, a polar region adaptive intelligent fusion module, an international achievement mutual recognition standard and verification module, a hierarchical sharing and mutual recognition process management module, a collaborative iteration and operation and maintenance management module, a block chain full-process traceability system and an international joint collaborative operation and maintenance mechanism. According to the system, the problem of international data heterogeneity is solved through multi-source data standardization preprocessing, accurate data fusion under polar region / open sea complex working conditions is realized by utilizing an intelligent fusion technology, a mutual recognition system of bidirectional verification is established, and the traceability of the whole process is ensured by adopting a block chain. The system supports hierarchical sharing and dynamic iterative optimization, is cooperatively operated and maintained by two international parties, guarantees long-term adaptation to standard updating and equipment iteration of the two parties, and effectively improves the joint scientific investigation data sharing efficiency and the result mutual recognition credibility.

The invention relates to the technical field of ocean observation, in particular to an ocean power and biochemical element observation system aiming at different observation requirements, which comprises a submersible specimen body, an intelligent sensing module, a multi-mode communication module, a multi-element observation module and a main control module, the technical problems that an existing observation system is incomplete in communication architecture, lack of intelligent perception, insufficient in multi-element synchronization, low in data transmission reliability and poor in adaptability are solved, and full-water-depth, multi-scene and high-precision ocean power and biochemical element collaborative observation is achieved.

The invention relates to the technical field of ocean observation, in particular to a hydrate reservoir information in-situ monitoring device. Comprising a monitoring box body; a metal grating plate is arranged at the bottom of the monitoring box body, and hydrate reservoir sediments can enter the monitoring box body through grating holes in the metal grating plate; a dissolved oxygen sensor, a pH sensor, a Raman probe rod and a resistivity probe rod are sequentially arranged in the monitoring box body from top to bottom, and a water tank camera is arranged on the side wall of the monitoring box body; a plurality of annular electrodes are arranged on the resistivity feeler lever in the circumferential direction of the feeler lever at intervals, and each annular electrode is connected with an annular electrode distance adjusting mechanism and an annular electrode aperture adjusting mechanism. And in-situ monitoring of the hydrate reservoir can be realized.

The invention provides a geographic element spatio-temporal topology establishment method for a large ocean forecast disaster reduction model, and belongs to the technical field of ocean observation forecast. Multi-source heterogeneous ocean data is fused and cleaned in real time, sparse data complementation of physical constraints is realized by using a temperature-salt flow collaborative interpolation model and a graph neural network, and the real-time fusion and cleaning of the multi-source heterogeneous ocean data are realized. A spatial index is established based on quadtree Z curve coding, a main filter and an auxiliary filter are executed in parallel through a GPU double-layer sub-thread grid to achieve millisecond-level query response, and local increment updating is conducted on a topological relation through spatial partitioning and an event-driven mechanism. Bayesian Kriging interpolation and Monte Carlo simulation are introduced to add confidence labels for topological nodes to quantify uncertainty, and finally standardized spatio-temporal topological relation data are output, so that the technical problem that a large ocean forecast disaster reduction model is difficult to understand and a geographic element spatio-temporal topological relation under the condition of observation forecast data is efficiently constructed is solved.

The invention discloses a self-defined ocean observation data storage method, device and equipment and a medium, and relates to the technical field of data processing, and the method comprises the steps: creating and maintaining an ocean environment element data label library which can be edited by a user in a database; the element data label library is used for storing and managing predefined marine environment element data labels; based on the label library, responding to the selection operation, and constructing a database table template of a set structure through the selected data labels and the self-defined fields; the ocean observation equipment to be accessed is associated and bound with the constructed database table template; and in response to the association binding, automatically generating a data storage table corresponding to the marine observation equipment according to the associated database table template so as to receive and store observation data of the marine observation equipment and form a marine environment data knowledge base decoupled from the marine observation equipment. According to the method, the storage capacity of the multi-source heterogeneous data of the marine environment data management system is improved.

A method includes converting, via a wavelet transform, (i) data associated with a prior ocean state forecast to wavelet space prior ocean state data and (ii) ocean observations to wavelet space observation data, and then filtering the wavelet space observation data. The method includes generating a correction value based on a difference between the wavelet space prior ocean state data and the filtered observation data, and determining a wavelet space increment value based on (i) the generated correction value, (ii) an error covariance associated with the prior ocean state forecast, and (iii) an error covariance associated with the ocean observations. The method includes converting, via an inverse of the wavelet transform, the wavelet space increment value to a physical space increment value, and generating a current ocean state forecast based on (i) the converted physical space increment value and (ii) a background state associated with the prior ocean state forecast.

The invention belongs to the technical field of ocean engineering and ocean observation, and relates to an ocean sensor long-term test device and method based on an autonomous underwater vehicle. The method comprises the following steps: executing a marine environment observation task, and storing an observation data sequence in a second AUV in real time; continuously monitoring the electric quantity state and the storage space occupancy rate, and when the electric quantity state is lower than a preset electric quantity threshold value or the storage space occupancy rate reaches a preset storage threshold value, generating a corresponding energy supplement demand signal or a data transmission demand signal; analyzing and judging the generated energy complementing demand signal or data transmission demand signal to determine an energy complementing mode or a data transmission mode; performing joint optimization on the energy complementing path or the data transmission path and the observation path after energy complementing or data transmission is completed, and generating a path planning result of multi-device cooperative operation and a corresponding scheduling strategy; and based on the path planning result and the scheduling strategy, related equipment is controlled to execute corresponding energy complementing operation or observation data transmission operation.

The application relates to a wave height parameter correction method and system for low-angle laser radar observation data, and relates to the technical field of ocean observation data processing. The method comprises the following steps: firstly, performing smoothing and data cleaning processing on original wave height data to construct a fitting model of polynomial and Gaussian global trend analysis. Then, through dynamic fusion of double models, the depth of capturing short-term fluctuations of the polynomial and capturing long-term trends of the Gaussian is combined, and the model generalization ability is improved. Finally, intelligent reference interval positioning is introduced to adapt to the wave height distribution changes in different periods and positions, and a correction factor is introduced to avoid over-correction, so that accurate correction data is obtained, the problem of wave height attenuation with distance is solved, and the efficiency and reliability of the correction processing are significantly improved.

Provided herein is an integrated preprocessing system and method for observation data of an ocean data assimilation system, which can maximize efficiency in overall processes of observation data collection, quality control, data processing, and operation management, and enhance the stability and reliability of the preprocessing process. The integrated preprocessing system for observation data of an ocean data assimilation system according to the present disclosure includes: an observation data collection unit configured to collect ocean observation data required for the ocean data assimilation system; a data processing unit configured to perform quality control on the collected observation data and classify and process the collected observation data into a single executable file; and a monitoring unit configured to perform GUI-based job scheduling and monitoring using a Rose / Cylc operating system.

The utility model discloses a kind of for ocean observation's laying device, belong to the field of ocean observation, including bearing vehicle body, the bearing vehicle body is installed with wheel, the bottom of bearing vehicle body is provided with sliding mechanism, the sliding mechanism includes at least two parallelly arranged slide rails, multiple rolling support members are arranged at interval on the slide rail, sliding mechanism is slidably provided with the bearing plate for placing to be launched object. Through the combination design of parallel slide rail and rolling support member, form low-friction sliding guide structure, so that bearing plate can be smoothly moved along slide rail, significantly reduce the thrust demand of to-be-launched object in the process of laying, convenient to operate, the interval arrangement of multiple rolling support members can evenly disperse bearing plate load, ensure that sliding mechanism does not occur significant deformation when loading heavy observation equipment, improve the load-bearing reliability of device, the structure design is compatible with the laying demand of small and medium-sized anchor platform and mobile observation platform simultaneously, with universality.

The present application belongs to the technical field of ocean engineering, and relates to a leveling and damping base for a subsurface buoy carrier. The leveling and damping base comprises a subsurface buoy body cover, a connecting layer arranged at the bottom of the subsurface buoy body cover, a damping layer arranged at the bottom of the connecting layer, a leveling layer arranged at the bottom of the damping layer, an anchoring layer arranged at the bottom of the leveling layer, a plurality of leveling assemblies arranged in the circumferential direction, and a plurality of anchoring assemblies arranged on the outer periphery of the anchoring layer. The ocean observation equipment subsurface buoy carrier is rigidly connected through the carrier base in the subsurface buoy body cover and the connecting plate in the connecting layer, so that the bottom of the acoustic subsurface buoy is connected, the bearing capacity is provided, and the stable connection between the equipment and the base is ensured. The connecting layer is connected through the damping plate in the bottom damping layer and the damper, the damper adopts a damper or a spring-damping composite structure, the vibration energy from the seabed is absorbed, and the influence of vibration on the equipment is reduced.

The invention discloses a cable-free seabed observation platform based on underwater acoustic communication, and relates to the technical field of ocean observation and underwater communication. The cable-free seabed observation platform based on underwater acoustic communication comprises a battery cabin unit for stably supplying power to each unit, an earthquake unit for synchronously acquiring multichannel seabed original signals, a signal processing module in an embedded processing unit for receiving the original signals and extracting features to generate data to be discriminated, and a signal processing module in the embedded processing unit for receiving the data to be discriminated. The intelligent event discrimination module analyzes the to-be-discriminated data through the lightweight neural network model to generate target data; the low-power-consumption dormancy monitoring module realizes energy-saving control, the acoustic communication unit performs adaptive compression and channel coding on target data and generates a transmission bit stream, the communication ball unit is internally provided with an underwater acoustic transducer, the transmission bit stream is modulated to generate a modulation signal, and the modulation signal is transmitted to a target receiving end, so that cable-free data transmission is realized.

The present application relates to the technical field of ocean observation, and discloses a GNSS wave inversion method for compensating dynamic draft deviation of a buoy, comprising the following steps: S1, GNSS high-frequency observation data acquisition and preprocessing stage; S2, buoy vertical dynamics modeling stage; S3, dynamic draft deviation characteristic analysis stage; S4, frequency domain response amplitude operator correction stage; S5, wave condition adaptive correction stage; S6, wave parameter inversion and quality evaluation stage; the present application establishes a buoy vertical inertia-buoyancy-damping dynamics model, quantitatively describes the relationship between the buoy dynamic draft deviation and the wave motion for the first time from the physical mechanism level, calculates the dynamic draft deviation amount by epoch, and compensates it into the GNSS measurement results, eliminates the systematic deviation caused by the buoy inertia effect, and reduces the inversion error of the significant wave height from 8% to 15% before correction to within 3%.

The application provides a profile data set construction method and system based on multi-source heterogeneous ocean observation, wherein the method comprises the following steps: obtaining multi-source heterogeneous original ocean observation profile data and respective description information from a plurality of target ocean data centers / observation agencies in a target time period; performing version cleaning on the original ocean observation profile data according to the unique identifier determined according to the original ocean observation profile data metadata and the description information, and performing high-frequency cleaning on the original ocean observation profile data based on the spatio-temporal joint characteristics to obtain a plurality of target ocean observation profile data; and performing matrix processing on the target ocean observation profile data to obtain corresponding normalized data to construct a profile data set in the target time period. Thus, the multi-source heterogeneous profile data can be sequentially subjected to data cleaning and format normalization, thereby improving the consistency, accuracy and availability of the data.

The present application relates to the technical field of ocean observation, and provides an ocean observation data transmission system, method and equipment.The system comprises an ocean buoy platform, an underwater connection networking device and a shore-based server.The underwater connection networking device is provided with a battery compartment.The ocean buoy platform is used to supply power to the underwater connection networking device and charge the battery compartment when a solar power supply mode is executed, and trigger a first communication mode.The ocean buoy platform is also used to adjust the communication frequency according to the remaining power of the battery compartment after communication with the shore-based server is established using the first communication mode, and trigger a second communication mode after communication with the shore-based server is not established using the first communication mode, and adjust the communication frequency according to the remaining power of the battery compartment after communication with the shore-based server is established using the second communication mode.The present application realizes real-time dynamic adjustment of charging and discharging strategies and adaptive switching of data transmission modes, and effectively solves the technical problem of limited system endurance in insufficient light scenarios.

The application discloses a kind of marine observation data gridding multi-level parallel acceleration calculation method and system.The application is based on the coarse-grained parallel implementation of climate model between MPI parallel architecture and parallel computing acceleration of ocean depth data, mainly includes the IO parallel reading of data, the calculation and distribution of climate model data, the synchronization of gridding data etc.;Based on the fine-grained parallel computing of OpenMP parallel architecture, the parallel computing of algorithm level between CPU core in node is realized, mainly includes the data gridding of each grid point in grid;For the gridding calculation of data in grid point, the distribution of data structure in memory is adjusted, and the specific calculation operation is accelerated using SIMD.The application can flexibly configure parallel scale according to specific hardware resources, realize the maximization of computing power utilization, and can provide computing power support for the construction of long-time sequence complete and reliable ocean grid data.

The invention discloses a high-resolution internal wave sound velocity field inversion method based on propagation time delay, relates to the technical field of ocean observation, and aims to solve the problem that fine changes of a sound velocity field under internal wave driving cannot be effectively captured in the prior art. And cumulative observation results at different times are equivalent to multiple groups of virtual nodes and virtual observation networks at the same moment, so that high-resolution inversion of an internal wave sound velocity field is realized, and fine changes of the sound velocity field driven by internal waves are effectively captured. The defect that satellite observation lacks deep information is overcome, and full-water-depth sound velocity field observation can be achieved.

The invention relates to the technical field of ocean remote sensing, and discloses a task processing method, device and equipment based on ocean polarization direction consistency characteristics and a medium, which can respond to a processing instruction for an ocean observation task and perform radiometric calibration, correction, neighborhood window selection and characteristic parameter setting on polarization remote sensing original observation data of a target sea area. And obtaining effective pixel data, selected neighborhood window parameters and characteristic parameters for adapting to the extraction requirements of the ocean polarization direction consistency characteristic PDCF (Packet Data Convergence Function). And according to the neighborhood window parameters, the feature parameters and the created ocean PDCF index definition formula, performing PDCF extraction in the effective pixel data to obtain a PDCF map. And generating a corresponding multi-polarization feature fusion image according to the PDCF map. And inputting the multi-polarization feature fusion image into the trained marine observation task processing model for task processing to obtain a corresponding task processing result, so that the processing speed of the marine observation task is effectively improved, and the real-time performance of marine observation task processing is enhanced.

The invention relates to the technical field of optical detection and optical fiber sensing, in particular to a Fabry-Perot temperature-depth sensor based on an optical fiber ring laser and a measuring system. The sensor adopts an all-fiber intracavity sensing design, and comprises a composite sensing probe formed by cascading a Fabry-Perot interferometer and a fiber bragg grating, a fiber ring laser cavity and a demodulation unit. The sensor probe is integrally packaged by adopting a three-dimensional photoetching 3D printing technology, the structure is firm, and the size is compact. According to the system, a sensing probe is embedded into a laser cavity, weak signals are amplified by utilizing gain in the cavity, and response signals of an FPI and an FBG are processed in real time based on a multi-parameter matrix algorithm in combination with stable wavelength reference and temperature reference provided by the FBG, so that high-precision synchronous measurement of temperature and hydraulic pressure (depth) and effective decoupling of cross sensitivity are realized. The optical fiber temperature-depth sensor overcomes the problems that a traditional optical fiber temperature-depth sensor is serious in cross sensitivity and poor in environmental adaptability in a complex underwater environment, has the advantages of being high in sensitivity, good in stability, high in anti-interference capacity, convenient to integrate and the like, and is suitable for the fields of ocean observation, deep sea exploration, underwater engineering safety monitoring and the like.

The invention discloses a wake detection model construction method based on frequency domain multi-scale perception, which relates to the technical field of ocean observation, is used for capturing weak wake features to carry out sea surface internal wave wake detection, and comprises the steps of constructing a wake image data set, constructing a wake detection model by taking an RT-DETR model as a baseline model, and constructing a multi-scale texture information selection network. A backbone network of the baseline model is replaced, a frequency domain multi-scale attention perception module is constructed, an AIFI module of the baseline model is replaced, a golden cudgel convolution down-sampling module is adopted to replace a standard convolution down-sampling module of the baseline model, training and optimization are performed on the wake detection model based on the wake image data set, and a target detection result is obtained. According to the method, the wake detection model AUVRT-DETR is constructed, the detection precision is improved while the advantage of light weight is kept, the optimal balance is achieved between the detection precision and the calculation efficiency, and the model parameter quantity and the calculation overhead are remarkably reduced while the highest detection precision is achieved.

The invention discloses a method for measuring and calculating the internal stratification intensity of deep sea turbidity current, and belongs to the technical field of ocean observation. Aiming at the problems that multi-source data fusion is insufficient and stratification intensity calculation is not suitable for a high suspended sand strong shear turbidity current process in existing anchor system observation, the method comprises the following steps: synchronously acquiring flow velocity, temperature, salinity, pressure and turbidity data of multiple vertical points, and after time synchronization and horizon matching pretreatment, identifying a turbidity current time period by combining turbidity, flow velocity and temperature-salinity change; constructing an equivalent density profile in combination with suspended sediment concentration contribution, and calculating a stratification strength parameter; and finally, a gradient Richardson number is calculated in combination with vertical velocity shearing so as to quantitatively characterize a stratified structure and a mixed state in the turbidity current, and data support is provided for deep-sea engineering geological disaster risk assessment.

The present invention comprises a hull (110), a sensor unit (120) having a lidar sensor (121) for measuring wind conditions and an information processing module (122) for processing wind condition information of the sea measured by the lidar sensor (121), a communication unit (130), a first power generation unit (140) composed of a wind turbine (141), a solar panel (142), and a lead-acid battery (143), a second power generation unit (150) composed of a seawater secondary battery (153), a BMS power control unit (160) including a plurality of battery packs (161) for storing power generated from the seawater secondary battery (153), a first charge / discharge unit (170), a second charge / discharge unit (180), and power from the sensor unit (120) and the communication unit (130) for which a relatively rapid response is required through the first charge / discharge unit (170) or the second charge / discharge unit (180). A linear type lidar buoy for ocean observation is disclosed, equipped with a hybrid power supply system that implements redundancy for power storage and power supply, including a main control unit that applies power from a lead-acid battery (143) and, through a BMS power control unit (160), uses power generated by a seawater secondary battery (153) as power that requires relatively long-term storage.

The invention belongs to the field of ocean observation, and particularly relates to a wharf offshore hydrologic monitoring system and method, the system comprises a water surface monitoring device, an anchoring transmission device and a seabed-based observation device, and remote communication connection is realized through a shore-based data receiving and processing system; wherein the water surface monitoring device is arranged above the sea surface and is suspended on the water surface through the buoyancy floating body; one end of the anchoring transmission device is fixedly connected with the lower part of the water surface monitoring device, and the anchoring transmission device is used for supporting and transmitting signals and energy; the other end of the anchoring transmission device is fixedly connected with an anchoring underframe at the upper part of the seabed-based observation device and is used for fixing the overall position of the system and realizing data transmission; the seabed-based observation device is mounted above a seabed, and establishes a data interaction path with the shore-based data receiving and processing system through a communication module of the water surface monitoring device, so that a monitoring, transmitting and receiving link from top to bottom can be formed, and automatic, synchronous and continuous observation of key hydrological elements such as waves, ocean currents, water temperatures and tide levels is realized.

The embodiment of the invention provides an underwater communication networking system, a marine observation system and a communication data transmission method, and relates to the field of marine observation. The system comprises a system input end, a first photoelectric conversion cavity assembly, a submarine cable assembly, a second photoelectric conversion cavity assembly and a system output end, wherein the front end of the system input end is connected with one end of the first photoelectric conversion cavity assembly; the other end of the first photoelectric conversion cavity assembly is fixedly connected with one end of the second photoelectric conversion cavity assembly through the submarine cable assembly, and the other end of the second photoelectric conversion cavity assembly is connected with a main power unit line of the system output end. According to the system, electric signals are converted into optical signals and then converted into electric signals, meanwhile, according to the long-distance transmission capacity of submarine cables, the distance limitation of traditional twisted pair electric signal transmission is fundamentally broken through, and the problem of long-distance networking between underwater junction boxes and between the junction boxes and sensors is solved.