CN-122017885-A - Ocean buoy monitoring system and method based on Beidou service

CN122017885ACN 122017885 ACN122017885 ACN 122017885ACN-122017885-A

Abstract

The application provides a ocean buoy monitoring system and method based on Beidou service, and relates to the technical field of Beidou systems, wherein the system acquires Beidou signal characteristic data and ocean power environment data of a target ocean buoy in real time; analyzing to obtain a signal deep feature set and an environment power feature set, carrying out standardized processing and fusion to form a multidimensional fusion feature vector, inputting a pre-trained wave height prediction model, outputting an initial wave height estimated value of the current position of a target ocean buoy, collecting equipment history data and Beidou communication state data of the target ocean buoy, calculating to generate an equipment state attenuation factor, correcting the initial wave height estimated value by using the equipment state attenuation factor to obtain a real-time wave height estimated value, and transmitting the real-time wave height estimated value and corresponding position information to a monitoring platform through a Beidou communication link. The technical problem of the marine buoy wave height monitoring in the prior art is easy to be interfered by the environment and the equipment state, and the precision is insufficient is solved.

Inventors

WANG GUIHUA
LIAO XINGGUO
CHEN CHANGLIN
LIU JIANHUA
TANG WULIN

Assignees

广州都市圈网络科技有限公司

Dates

Publication Date: 20260512
Application Date: 20260128

Claims (10)

1. Ocean buoy monitoring system based on big dipper service, its characterized in that, the system includes: The data acquisition module is used for acquiring Beidou signal characteristic data and ocean power environment data of a target ocean buoy in real time, wherein the ocean power environment data comprise wind speed, wind direction, air pressure, air temperature and sea surface temperature data; the feature analysis module is used for analyzing the Beidou signal feature data to obtain a signal deep feature set and analyzing the marine power environment data to obtain an environment power feature set; the wave height prediction module is used for carrying out standardized processing and fusion on the signal deep feature set and the environment power feature set to form a multidimensional fusion feature vector, inputting the multidimensional fusion feature vector into a pre-trained wave height prediction model, and calculating and outputting an initial wave height estimated value of the current position of the target ocean buoy; the wave height correction module is used for collecting equipment history data and Beidou communication state data of the target ocean buoy, combining the Beidou signal characteristic data and the ocean power environment data, calculating and generating equipment state attenuation factors, and correcting the initial wave height estimated value by utilizing the equipment state attenuation factors to obtain a real-time wave height estimated value; and the monitoring transmission module is used for transmitting the real-time wave height estimated value and the corresponding position information to the monitoring platform through the Beidou communication link.
2. The marine buoy monitoring system based on the beidou service according to claim 1, wherein the executing step of the data acquisition module comprises: Continuously receiving Beidou satellite signals at a preset sampling frequency through a Beidou positioning module carried by the target ocean buoy, and analyzing to obtain Beidou signal characteristic data, wherein the Beidou signal characteristic data comprises a received signal strength indication original time sequence, a carrier phase observation time sequence and a signal to noise ratio time sequence; synchronously acquiring wind speed, wind direction, air pressure and air temperature data at the preset sampling frequency through a multi-parameter meteorological sensor of the target ocean buoy; And acquiring sea surface temperature data at the preset sampling frequency by the water temperature sensor carried by the target ocean buoy.
3. The marine buoy monitoring system based on the beidou service according to claim 1, wherein the executing step of the feature analysis module comprises: performing moving average filtering pretreatment on the received signal strength indication original time sequence to obtain a smoothed received signal strength indication time sequence; performing short-time Fourier transform on the smoothed received signal strength indication time sequence to obtain a time-frequency matrix; Extracting signal energy in a preset wave characteristic frequency band from the time-frequency matrix, and calculating the ratio of total energy in the preset wave characteristic frequency band to total energy in the whole analysis frequency band to obtain normalized wave energy; Calculating standard deviation and skewness of the smoothed received signal strength indication time sequence; and combining the normalized fluctuation energy, the standard deviation and the skewness to form a signal deep feature set.
4. The maritime buoy monitoring system based on the beidou service according to claim 1, wherein the executing step of the feature analysis module further comprises: subtracting the air temperature data from the sea surface temperature data to obtain sea air temperature difference; calculating air density according to an ideal gas state equation based on air temperature data and air pressure data; based on wind speed data and the air density, calculating to obtain wind energy density through a wind energy density calculation formula; and combining the sea-air temperature difference with the wind energy density to form an environment dynamic characteristic set.
5. The marine buoy monitoring system based on the beidou service according to claim 1, wherein the executing step of the wave height prediction module comprises: adopting a Z-score standardization method to respectively carry out standardization treatment on each characteristic parameter in the signal deep characteristic group and the environment dynamic characteristic group; Splicing all characteristic parameters in the standardized signal deep characteristic group and the environment power characteristic group according to a preset sequence to obtain a multidimensional fusion characteristic vector; collecting historical Beidou signal characteristic data and historical marine power environment data of similar buoys in a historical time period, and preprocessing the historical Beidou signal characteristic data and the historical marine power environment data to form a historical multidimensional fusion characteristic vector set serving as a sample characteristic data set; acquiring wave height data which corresponds to each historical multidimensional fusion feature vector in the sample feature data set in time and space and is actually measured by wave measuring equipment, marking the wave height data as a sample label, and forming a sample label data set; Constructing a wave height prediction model based on a machine learning algorithm; Performing supervision training on the wave height prediction model by adopting the sample characteristic data set and the sample label data set until verification convergence is achieved, so as to obtain a trained wave height prediction model; and inputting the multidimensional fusion feature vector into a trained wave height prediction model, and calculating and outputting an initial wave height estimated value of the current position of the target ocean buoy.
6. The marine buoy monitoring system based on the beidou service according to claim 1, wherein the executing step of the wave height correction module comprises: collecting equipment historical data and Beidou communication state data of the target ocean buoy, wherein the equipment historical data comprises historical track data and accumulated working time; Inquiring corresponding historical environment parameters from a preset marine environment database based on the historical track data, and calculating to obtain historical environment stress parameters; inputting the historical environmental stress parameters, the accumulated working time and the historical track data into a pre-trained equipment health degree prediction model, and calculating to obtain basic attenuation parameters; based on the Beidou signal characteristic data and the marine power environment data, calculating to obtain fusion characteristic coupling parameters; calculating to obtain Beidou exclusive correction parameters based on the Beidou communication state data and the Beidou signal characteristic data; multiplying the basic attenuation parameter and the fusion characteristic coupling parameter by the Beidou exclusive correction parameter to obtain an equipment state attenuation factor; and multiplying the initial wave height estimated value by the equipment state attenuation factor to obtain a corrected real-time wave height estimated value.
7. The maritime buoy monitoring system based on the beidou service according to claim 6, wherein the executing step of the wave height correction module further comprises: performing discrete sampling on the historical track data according to a preset time interval to obtain a basic sampling point; Screening a representative track point from the basic sampling points based on a preset space distance threshold value and a preset environment parameter change rate threshold value; extracting corresponding historical environment parameters from the marine environment database according to the time information and the position information of the representative track points, wherein the historical environment parameters at least comprise historical sea surface temperature, historical sea water salinity and historical surface ocean current speed; Obtaining design tolerance parameters of the target ocean buoy, wherein the design tolerance parameters at least comprise a design working temperature range, a design salinity tolerance range and a design anti-flow speed; Based on the historical environmental parameters and the corresponding design tolerance parameters, respectively calculating the relative stress degree of each environmental parameter; According to a preset weight coefficient, carrying out weighted fusion on the relative stress degree of each environmental parameter to obtain an instantaneous environmental stress index of each representative track point; And carrying out cumulative calculation on the instantaneous environmental stress indexes of all the representative track points to obtain historical environmental stress parameters.
8. The maritime buoy monitoring system based on the beidou service according to claim 6, wherein the executing step of the wave height correction module further comprises: based on the Beidou signal characteristic data, obtaining a signal transmission loss rate by comparing a received signal strength indication actual measurement value with a received signal strength indication theoretical value determined according to satellite ephemeris and buoy positions; Based on the Beidou signal characteristic data, obtaining a sampling frequency attenuation coefficient by comparing an actual sampling frequency with a standard sampling frequency; Carrying out arithmetic average calculation on the signal transmission loss rate and the sampling frequency attenuation coefficient to obtain a signal characteristic deviation coefficient; Based on the marine power environment data, obtaining a sea air temperature deviation rate by comparing the real-time sea air temperature difference with the historical contemporaneous average sea air temperature difference, and obtaining a wind energy density deviation rate by comparing the real-time wind energy density with the regional average wind energy density; Calculating arithmetic average of the deviation rate of the sea-air temperature difference and the deviation rate of the wind energy density to obtain an environmental characteristic deviation coefficient; And carrying out weighted summation and normalization processing on the signal characteristic deviation coefficient and the environment characteristic deviation coefficient, and then calculating a difference value between the signal characteristic deviation coefficient and the environment characteristic deviation coefficient to obtain a fusion characteristic coupling parameter.
9. The maritime buoy monitoring system based on the beidou service according to claim 6, wherein the executing step of the wave height correction module further comprises: extracting a carrier phase observation time sequence and a signal to noise ratio time sequence from the Beidou signal characteristic data; Performing spectrum analysis on the carrier phase observation time sequence, and calculating the ratio of noise energy to total energy in a non-preset wave characteristic frequency band to obtain a phase disturbance index; calculating the variance of the signal-to-noise ratio time sequence in a preset time window to obtain a channel stability index; analyzing the Beidou communication state data to obtain a Beidou link error rate; And obtaining a Beidou exclusive correction parameter through weighted calculation based on the phase disturbance index, the channel stability index and the Beidou link error rate.
10. The ocean buoy monitoring method based on Beidou service is characterized by comprising the following steps of: Collecting Beidou signal characteristic data and ocean power environment data of a target ocean buoy in real time, wherein the ocean power environment data comprise wind speed, wind direction, air pressure, air temperature and sea surface temperature data; analyzing the Beidou signal characteristic data to obtain a signal deep characteristic set, and analyzing the marine power environment data to obtain an environment power characteristic set; Carrying out standardized processing and fusion on the signal deep feature set and the environment power feature set to form a multidimensional fusion feature vector, inputting the multidimensional fusion feature vector into a pre-trained wave height prediction model, and calculating and outputting an initial wave height estimated value of the current position of the target ocean buoy; Collecting equipment historical data and Beidou communication state data of the target ocean buoy, combining the Beidou signal characteristic data and the ocean power environment data, calculating and generating equipment state attenuation factors, and correcting the initial wave height estimated value by using the equipment state attenuation factors to obtain a real-time wave height estimated value; And sending the real-time wave height estimated value and the corresponding position information to a monitoring platform through a Beidou communication link.

Description

Ocean buoy monitoring system and method based on Beidou service Technical Field The invention relates to the field of Beidou systems, in particular to a ocean buoy monitoring system and method based on Beidou service. Background The ocean wave height is taken as an important parameter for ocean environment monitoring, and accurate acquisition of the ocean wave height is very important to the fields of ocean disaster early warning, shipping safety guarantee, ocean engineering construction, ocean scientific research and the like. However, the traditional ocean wave height monitoring depends on special wave measuring equipment, has the problems of high deployment and maintenance cost, weak capability of resisting severe environments and the like, is easily limited by coverage of a ground communication network in a high sea area, and causes interruption of data transmission. Meanwhile, the Beidou system has global all-weather and anti-interference positioning and communication capabilities, provides a new technical support for ocean monitoring, but the prior ocean monitoring attempt by using the Beidou system has the defects of single data dimension, large influence of environment and equipment state on monitoring precision and the like, and is difficult to meet the high-precision monitoring requirement under complex ocean scenes. Therefore, it is highly desirable to construct a reliable ocean buoy monitoring method based on Beidou service. Disclosure of Invention Aiming at the technical problem that in the prior art, ocean buoy wave height monitoring is easy to be interfered by environment and equipment state, so that accuracy is insufficient, the invention provides an ocean buoy monitoring system and an ocean buoy monitoring method based on Beidou service. The technical scheme for solving the technical problems is as follows: In a first aspect, the present invention provides a marine buoy monitoring system based on Beidou service, comprising: The data acquisition module is used for acquiring Beidou signal characteristic data and ocean power environment data of a target ocean buoy in real time, wherein the ocean power environment data comprise wind speed, wind direction, air pressure, air temperature and sea surface temperature data; the feature analysis module is used for analyzing the Beidou signal feature data to obtain a signal deep feature set and analyzing the marine power environment data to obtain an environment power feature set; the wave height prediction module is used for carrying out standardized processing and fusion on the signal deep feature set and the environment power feature set to form a multidimensional fusion feature vector, inputting the multidimensional fusion feature vector into a pre-trained wave height prediction model, and calculating and outputting an initial wave height estimated value of the current position of the target ocean buoy; the wave height correction module is used for collecting equipment history data and Beidou communication state data of the target ocean buoy, combining the Beidou signal characteristic data and the ocean power environment data, calculating and generating equipment state attenuation factors, and correcting the initial wave height estimated value by utilizing the equipment state attenuation factors to obtain a real-time wave height estimated value; and the monitoring transmission module is used for transmitting the real-time wave height estimated value and the corresponding position information to the monitoring platform through the Beidou communication link. In a second aspect, the invention provides a ocean buoy monitoring method based on Beidou service, which comprises the following steps: Collecting Beidou signal characteristic data and ocean power environment data of a target ocean buoy in real time, wherein the ocean power environment data comprise wind speed, wind direction, air pressure, air temperature and sea surface temperature data; analyzing the Beidou signal characteristic data to obtain a signal deep characteristic set, and analyzing the marine power environment data to obtain an environment power characteristic set; Carrying out standardized processing and fusion on the signal deep feature set and the environment power feature set to form a multidimensional fusion feature vector, inputting the multidimensional fusion feature vector into a pre-trained wave height prediction model, and calculating and outputting an initial wave height estimated value of the current position of the target ocean buoy; Collecting equipment historical data and Beidou communication state data of the target ocean buoy, combining the Beidou signal characteristic data and the ocean power environment data, calculating and generating equipment state attenuation factors, and correcting the initial wave height estimated value by using the equipment state attenuation factors to obtain a real-time wave height estimated value; And sending the real-time wave height esti