CN-121262109-B - Ship-shore cloud intelligent platform, ship intelligent management method and storage medium

CN121262109BCN 121262109 BCN121262109 BCN 121262109BCN-121262109-B

Abstract

The invention discloses a ship-shore cloud intelligent platform, a ship intelligent management method and a storage medium, wherein the ship-shore cloud intelligent platform comprises a ship-end edge processing module, a cloud intelligent analysis module, a cloud data management module and a dynamic transmission control module, wherein the ship-end edge processing module is used for collecting data of a ship sensor and preprocessing the data on the edge side and then sending the data, the cloud intelligent analysis module is used for receiving the preprocessed data, building a field model based on multidimensional relevance of the data and calculating and generating state results of each functional module, the cloud data management module is used for carrying out relevance storage and management on the data based on the field model, and the dynamic transmission control module is used for dynamically adjusting a data sampling strategy of the ship-end edge processing module according to real-time data flow. The invention solves the problems of abnormal functions and insufficient real-time functions caused by high satellite signal interruption and propagation delay in the existing ship intelligent platform.

Inventors

ZHANG JINTAO
ZHONG SHAOJIE
YAN JUNRONG
SHI XUFENG
GAO FEI
GUO YONGKANG
Han Shangyi

Assignees

海卫通网络科技有限公司

Dates

Publication Date: 20260512
Application Date: 20251127

Claims (6)

1. The ship bank cloud intelligent platform is characterized by comprising a ship end edge processing module, a cloud intelligent analysis module, a cloud data management module and a dynamic transmission control module; The ship end edge processing module is used for acquiring data of a ship sensor, carrying out edge side preprocessing on the data and then sending the data, wherein the edge side preprocessing is used for carrying out data grouping and data caching according to node distribution and data types and carrying out preprocessing on the sensor data based on an edge preprocessing algorithm, and carrying out data grouping and data caching according to the node distribution and the data types, wherein the data grouping and data caching comprises the steps of calculating consistency in a data group according to the position of a sensor node and/or the type of the sensor data and/or the functional relevance of the sensor data, carrying out data grouping according to the consistency in the data group, calculating the priority of the data grouping according to the relevance of the data and ship travelling capacity, and generating a data grouping cache queue according to the preset cache space size and the priority of the data grouping; The cloud intelligent analysis module is in communication connection with the ship end edge processing module and is used for receiving the preprocessed data, establishing a domain model based on the multidimensional relevance of the data and calculating the state result of each functional module, wherein the establishment of the domain model based on the multidimensional relevance of the data is to calculate the relevance index of the vertical domain data according to the similarity of the data and/or the time continuation of the data and/or the relevance index of the data, and establish the domain model based on the relevance index of the vertical domain data; The cloud data management module is interacted with the cloud intelligent analysis module and is used for carrying out relevance storage and management on data based on the field model, wherein the relevance storage and management comprises the steps of calculating relevance indexes among ship data according to the field model, extending one or more key data by taking a functional module of a ship as a base point, connecting data with the relevance indexes of which are larger than a threshold value after each key data, and forming a knowledge graph; The dynamic transmission control module is used for dynamically adjusting the data sampling strategy of the ship end edge processing module according to the real-time data flow, wherein the dynamic transmission control module is used for dynamically adjusting the data sampling strategy of the ship end edge processing module according to the real-time data flow, and the dynamic transmission control module comprises the steps of calculating the positive change amount or the negative change amount of the data sampling rate according to the difference value between the current data flow and the preset flow and/or the instantaneous change amount of the current data flow and/or the positive correlation relation between the change amount of the data flow and the change amount of the data sampling rate in the preset time period, and dynamically adjusting the data sampling rate of the current ship end edge processing module according to the positive change amount or the negative change amount of the data sampling rate.
2. The shore cloud intelligent platform of claim 1, wherein said edge-based preprocessing algorithm preprocesses sensor data, comprising: Noise filtering is carried out on the acquired sensor data by adopting a noise filtering algorithm on each edge processor of the ship; Removing obviously distorted data according to a data threshold range corresponding to the sensor type; And carrying out structuring processing on the data according to a standard data format corresponding to the sensor type to obtain preprocessed sensor data.
3. The shore cloud intelligent platform of claim 1, wherein said functional modules comprise any one or more combinations of a ship management module, an electronic chart module, a ship monitoring module, a security pre-warning module, an energy management module, a real-time path planning module, a fault pre-warning module, a spare part management module, a communication management module, a firewall module.
4. The ship-shore cloud intelligent platform according to claim 1, further comprising a cloud data synchronization module, configured to perform data synchronization according to a data timestamp and/or a region relevance of data and cache a continuous shore transfer command when a signal is interrupted, wherein the performing data synchronization according to the data timestamp and/or the region relevance of data comprises: calculating a time synchronism indication value according to the difference value of the data time stamps; calculating a region synchronicity indicated value according to the region relativity evaluation value of the data; Calculating data synchronism according to the time synchronism indication value and/or the region synchronism indication value; and adjusting the data synchronization index according to the data synchronism to realize data synchronization.
5. The intelligent ship management method is characterized by comprising the following steps of: The ship end edge processing module acquires data of a ship sensor and sends the data after carrying out edge side preprocessing on the data, wherein the edge side preprocessing is used for carrying out data grouping and data caching according to node distribution and data types and carrying out preprocessing on the sensor data based on an edge preprocessing algorithm, and the data grouping and the data caching according to the node distribution and the data types comprise the steps of calculating consistency in a data group according to the position of a sensor node and/or the type of the sensor data and/or the functional relevance of the sensor data, carrying out data grouping according to the consistency in the data group, calculating the priority of the data grouping according to the relevance of the data and ship travelling capacity, and generating a data grouping cache queue according to the preset cache space size and the priority of the data grouping; The cloud intelligent analysis module receives the preprocessed data, establishes a field model based on multidimensional relevance of the data, and calculates a state result of each functional module; the data-based multidimensional correlation building field model is used for calculating correlation indexes of vertical field data according to similarity of the data and/or time continuity of the data and/or correlation of the data, and building the field model according to the correlation indexes of the vertical field data, wherein the calculation of the correlation indexes of the vertical field data according to the similarity of the data and/or the time continuity of the data and/or the correlation of the data comprises the steps of calculating the similarity indexes of the data according to the similarity of data types and/or the similarity of data values, calculating the time continuity indexes of the data according to the consistency of data generation time and/or the connection relation of the data generation time, calculating the correlation indexes of the data according to the causality of the data and/or the mutual influence between the data, and calculating the correlation indexes of the vertical field data according to the similarity indexes of the data and/or the time continuity indexes of the data and/or the correlation indexes of the data; The cloud data management module is used for carrying out relevance storage and management on data based on the field model, wherein the relevance storage and management comprises the steps of calculating relevance indexes among ship data according to the field model, extending one or more key data by taking a functional module of a ship as a base point, connecting data with the relevance indexes of which are larger than a threshold value after each key data, and forming a knowledge graph; The dynamic transmission control module dynamically adjusts the data sampling strategy of the ship end edge processing module according to the real-time data flow, wherein the dynamic transmission control module dynamically adjusts the data sampling strategy of the ship end edge processing module according to the real-time data flow, and the dynamic transmission control module comprises the steps of calculating the positive change amount or the negative change amount of the data sampling rate according to the difference value between the current data flow and the preset flow and/or the instantaneous change amount of the current data flow and/or the positive correlation relation between the change amount of the data flow and the change amount of the data sampling rate in the preset time period, and dynamically adjusting the data sampling rate of the current ship end edge processing module according to the positive change amount or the negative change amount of the data sampling rate.
6. A computer readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform the method of claim 5.

Description

Ship-shore cloud intelligent platform, ship intelligent management method and storage medium Technical Field The invention belongs to the technical field of intelligent ships, and particularly relates to a ship shore cloud intelligent platform, a ship intelligent management method and a storage medium. Background Along with the rapid development of the marine industry in China, the electronic informatization technology plays an increasingly large role in the field of shipbuilding and marine engineering, and becomes an important support for the marine industry. Intelligent vessels represent future directions to vessels, concerning the transformation upgrades of the shipping industry. The current intelligent ship management platform mainly adopts the architecture of a ship end, a shore end and a cloud end, the ship end senses ship state parameters through a sensor and transmits data to the cloud end through satellite signals, and after the cloud end processes the data, the data is transmitted to the shore end through the satellite signals for display. However, with the continuous development and upgrading of intelligent functions of ships, the types and data volumes of ship data to be acquired are exponentially increased, the requirements on the real-time performance of the data are higher and higher, and the problems of signal interruption, high transmission delay and the like of satellite signals still exist, so that the problems of abnormal functions, insufficient real-time performance and the like of the existing intelligent ship management platform are caused, and the requirements of future intelligent ships cannot be met. In order to solve the problems of abnormal functions, insufficient real-time functions and the like caused by satellite signal interruption and high ship time delay in the existing ship intelligent platform, the ship shore cloud intelligent platform, a ship intelligent management method and a storage medium are provided. Disclosure of Invention The invention provides a ship shore cloud intelligent platform, a ship intelligent management method and a storage medium, which at least solve the problems of abnormal functions, insufficient function instantaneity and the like caused by satellite signal interruption and high ship time delay in the existing ship intelligent platform. According to one embodiment of the invention, a ship-shore cloud intelligent platform is provided, which comprises a ship-end edge processing module, a cloud intelligent analysis module, a cloud data management module and a dynamic transmission control module; the ship end edge processing module is used for acquiring data of the ship sensor, preprocessing the data at the edge side and sending the data; The cloud intelligent analysis module is in communication connection with the ship end edge processing module and is used for receiving the preprocessed data, building a field model based on multidimensional relevance of the data and calculating state results of all the functional modules; the cloud data management module is interacted with the cloud intelligent analysis module and is used for carrying out relevance storage and management on data based on the field model; And the dynamic transmission control module is used for dynamically adjusting the data sampling strategy of the ship end edge processing module according to the real-time data flow. In a preferred embodiment, the edge side preprocessing is to perform data grouping and data caching according to node distribution and data types and perform preprocessing on sensor data based on an edge preprocessing algorithm. In a preferred embodiment, the data grouping and data buffering according to node distribution and data types includes: Calculating consistency in the data group according to the position of the sensor node and/or the type of the sensor data and/or the functional relevance of the sensor data; grouping the data according to the consistency in the data group of the data; Calculating the priority of the data packet according to the relevance of the data and the ship running capability; and generating a data packet buffer queue according to the preset buffer space size and the priority of the data packet. In a preferred embodiment, the preprocessing of the sensor data based on the edge preprocessing algorithm comprises: Noise filtering is carried out on the acquired sensor data by adopting a noise filtering algorithm on each edge processor of the ship; Removing obviously distorted data according to a data threshold range corresponding to the sensor type; And carrying out structuring processing on the data according to a standard data format corresponding to the sensor type to obtain preprocessed sensor data. In a preferred embodiment, the data-based multidimensional relevance building field model calculates relevance indexes of vertical field data according to similarity of data and/or time duration of data and/or relevance of data, and builds the fi