Intelligent propelling system of polar icebreaker

Abstract

The invention discloses an intelligent propulsion system of a polar region icebreaker. A low-speed motor direct-driven propulsion system of the icebreaker is used for providing propulsion power required by icebreaking navigation and bearing torque, thrust and radial force generated by ice paddle impact in ice region navigation; the ice load propelling system intelligent monitoring system is connected with the icebreaker low-speed motor direct-drive propelling system and used for monitoring ice loads borne by the propelling system and movement related parameters in real time, and the local ice thickness measurement data supporting system is used for obtaining local ice thickness data of a navigation area. The propulsion system dynamic characteristic decision analysis system is connected with the ice load propulsion system intelligent monitoring system and the local ice thickness measurement data support system, and is used for monitoring the local ice thickness based on the load and motion monitoring data of the propulsion system and the local ice thickness data. Decision analysis is carried out on the dynamic operation characteristics of the propelling system, a regulation and control instruction is output and fed back to the icebreaker low-speed motor direct-drive propelling system, and intelligent cooperative operation of the whole propelling system is achieved.

Description

Technical Field

[0001] This invention belongs to the technical field of intelligent propulsion systems for polar vessels, specifically relating to an intelligent propulsion system for polar icebreakers, which is applicable to the cross-integration of multiple technical fields such as marine engineering, power transmission, intelligent monitoring, and data analysis. Background Technology

[0002] During navigation, the ice loads (including the impact force of ice on the propeller and the resulting shaft impact torque, shaft impact thrust, bearing load, shaft deformation, etc.) borne by the propulsion system of polar icebreakers are key parameters that determine the safety of the propulsion system and the propulsion strategy. However, the current level of intelligence in the propulsion system of polar icebreakers has many bottlenecks.

[0003] Most mainstream polar icebreakers currently use a traditional transmission architecture of "medium-high speed diesel engine or electric motor + reduction gearbox + propulsion shaft system", which has two major problems: First, the presence of the gearbox increases the number of system failure points, seriously affecting the continuity of navigation; second, the traditional transmission architecture makes it difficult to achieve precise control of propulsion power. When the ship encounters a sudden ice load impact (such as the propeller colliding with a thick ice ridge), the power output cannot quickly match the load change, which can easily lead to a sudden increase in the torque of the propulsion shaft system, causing shaft deformation or propeller blade damage, increasing operation and maintenance costs and safety risks.

[0004] Some icebreakers have attempted to adopt a low-speed electric motor direct drive system, but existing direct drive systems lack customized designs for polar ice conditions: the low speed and high torque required for icebreaking are not well matched, necessitating the sacrifice of motor efficiency to meet power output; at the same time, the direct drive system does not integrate effective intelligent monitoring components, making it impossible to perceive shaft torque fluctuations and vibrations in real time, and difficult to provide early warnings of structural risks caused by ice load impacts; it also cannot be synchronized with external ice condition monitoring, making it inconvenient to study the relationship between ice conditions and propulsion system operating loads, and to provide decision-making basis for the safe navigation of icebreakers.

[0005] Current intelligent sensing technologies for icebreaker propulsion systems suffer from limitations, particularly in their monitoring range. Traditional ice load sensors are mostly deployed only in the icebreaking area of ​​the hull, failing to cover the core stress-bearing components of the propulsion system. This results in incomplete ice load data collection, failing to fully reflect the stress state of the propulsion system. Furthermore, ice condition sensing systems and propulsion system status monitoring are measured separately, lacking comprehensive analysis and prediction capabilities regarding ice condition trends, ship operating status, and propulsion system loads. This leads to delayed propulsion strategy adjustments and impacts the safety of propulsion system operation.

[0006] Current icebreaker propulsion systems rely heavily on manual experience or simple "ice thickness-speed" strategies for control, lacking intelligent dynamic decision-making capabilities. Existing decision models consider only ice thickness as a single parameter, failing to incorporate key ice condition indicators such as ice density and elastic modulus, or link them to the real-time operating status of the propulsion system (e.g., motor temperature, shaft vibration), leading to significant discrepancies between decision results and actual needs. Manual or simple automated decision-making processes are typically lengthy, and decision lag can easily cause "overshoot" or "underload" in the propulsion system—overshoot increases structural stress, while underload reduces icebreaking efficiency. Current systems lack a closed-loop control process of "ice condition perception - load monitoring - decision control - effect feedback." After control commands are issued, the propulsion effect cannot be verified in real time, making it difficult to dynamically optimize the decision model based on actual operating conditions. This results in poor system adaptability and difficulty maintaining stable propulsion performance under complex and variable polar ice conditions.

[0007] Among existing related patent technologies, such as the adaptive power-speed coordinated icebreaker propulsion control system and method disclosed in patent CN120729107A, an adaptive operating point coordinated optimization control module is used to dynamically balance and adjust the operating point of the permanent magnet synchronous motor, and the balance optimization result is evaluated through an operating index evaluation module. This improves the flexible adjustment capability and operating range of the propulsion system, effectively mitigates power and speed fluctuations under sudden load torque changes, and enhances system efficiency and safety. However, it lacks ice load monitoring, ice condition perception, and decision analysis, and cannot meet the requirements of intelligent propulsion systems that require dynamic decision analysis.

[0008] In summary, the current technical deficiencies in the propulsion systems of polar icebreakers in terms of power transmission, ice load monitoring, ice condition perception, and decision analysis have become key bottlenecks restricting the efficient and safe navigation of polar vessels. Therefore, developing an intelligent propulsion system that integrates low-speed electric motor direct drive, intelligent ice load monitoring, high-precision ice condition measurement, and dynamic decision analysis has become an urgent technical problem to be solved in the field of polar ship engineering. Summary of the Invention

[0009] To address the issues of insufficient operational data in existing polar icebreaker propulsion systems, and inadequate intelligence in ice load, propulsion system, and decision analysis, this invention provides an intelligent propulsion system for polar icebreakers. This system aims to achieve efficient transmission and precise control of propulsion power, comprehensive real-time monitoring of ice load, and dynamic intelligent decision-making for the propulsion system based on multi-dimensional data. Ultimately, this will improve the navigation safety, propulsion efficiency, and ease of operation and maintenance of polar icebreakers in complex ice conditions.

[0010] To achieve the above objectives, the present invention adopts the following technical solution: An intelligent propulsion system for polar icebreakers includes a low-speed electric motor direct-drive propulsion system, an intelligent monitoring system for ice load propulsion systems, a local ice thickness measurement data support system, and a propulsion system dynamic characteristic decision analysis system. The low-speed electric motor direct-drive propulsion system provides the propulsion power required for icebreaking and bears the torque, thrust, and radial force generated by the impact of ice propellers during navigation in ice-covered areas. The intelligent monitoring system for ice load propulsion systems is connected to the low-speed electric motor direct-drive propulsion system and monitors the ice load and motion-related parameters borne by the propulsion system in real time. The local ice thickness measurement data support system acquires local ice thickness data for the navigation area. The propulsion system dynamic characteristic decision analysis system is connected to the intelligent monitoring system for ice load propulsion systems and the local ice thickness measurement data support system. Based on the propulsion system load and motion monitoring data and local ice thickness data, it performs decision analysis on the dynamic operating characteristics of the propulsion system and outputs control commands to the low-speed electric motor direct-drive propulsion system, achieving intelligent coordinated operation of the entire propulsion system.

[0011] Furthermore, the low-speed motor direct-drive propulsion system includes: a low-speed, high-torque permanent magnet synchronous motor, a frequency converter drive unit for controlling the motor speed and torque, an ice-impact resistant thrust bearing, an intermediate shaft, an intermediate bearing, a propeller shaft, a hydraulic coupling, front and rear support bearings of the propeller shaft, front and rear seals of the propeller shaft, a closed-loop cooling system for cooling the motor, a thrust bearing lubrication system, an intermediate bearing lubrication system, and a propeller shaft support bearing lubrication system. The low-speed, high-torque permanent magnet synchronous motor is directly connected to the propeller through the propulsion shaft system, eliminating the need for a traditional reduction gearbox and reducing transmission losses. The propulsion shaft system integrates torque sensors, thrust sensors, vibration sensors, and displacement sensors to collect torque and thrust fluctuations and vibration data during shaft operation in real time. The bearings use sensors to collect bearing load in real time, and multiple displacement sensors are installed at the front and rear of the propeller shaft support bearings to measure the shaft center trajectory in real time.

[0012] Furthermore, the rated speed of the low-speed, high-torque permanent magnet synchronous motor is no higher than 300 rpm, matching the low-speed, high-torque requirements for ice breaking. Its stator windings are made of low-temperature resistant insulating materials that can withstand temperatures ranging from -60℃ to 80℃, and the rotor has built-in high-performance permanent magnets.

[0013] Furthermore, the intelligent monitoring system for the ice load propulsion system includes torque and vibration sensors mounted on the propulsion shaft to collect torque and vibration data during shaft operation; a shaft center trajectory monitoring system to monitor the radial displacement of the front and rear end faces of the propeller shaft's front and rear support bearings and generate operating trajectories and lubricant film curves; a bearing load measuring device to measure the load data of the radial bearings of the intermediate bearings and thrust bearings in the shaft system; a torque and thrust testing sensor installed on the shaft system to detect the dynamic parameters of torque and thrust of the propulsion shaft system in real time; a shaft speed measuring device to monitor the speed fluctuations of the propulsion shaft system in real time; a data acquisition and processing unit to acquire the output signals of the sensor group in real time, filter, amplify, and convert the signals to digital after signal preprocessing, and then transmit them to the monitoring terminal for data storage and anomaly warning; an ice load assessment module to estimate the magnitude and direction of ice load based on the monitoring data; and an alarm and recording module. The monitoring terminal has a built-in anomaly threshold judgment unit that triggers an audible and visual warning and marks the abnormal data when the monitoring data exceeds a preset threshold.

[0014] Furthermore, the local ice thickness measurement data support system includes a multibeam ice thickness measurement radar, a data transmission module, an ice thickness data processing unit, a data fusion module, and a data interface module. The multibeam ice thickness measurement radar is installed on the bow and side of the icebreaker to transmit detection signals and receive reflected signals from the ice surface and ice bottom. The data transmission module transmits the reflected signals to the ice thickness data processing unit, which calculates the signal propagation time difference and the refractive index of the medium to obtain the local ice thickness measurement value and generate an ice thickness distribution map. The data fusion module is used to fuse the ice thickness data with the ship's position and heading information to form ice condition navigation data. The data interface module is used to transmit the ice condition navigation data to the decision analysis system.

[0015] Furthermore, the propulsion system operation decision analysis system includes a data input module, a decision model library, a dynamic analysis unit, and an instruction output module. The data input module receives monitoring data from the intelligent monitoring system for ice load propulsion system and ice thickness data from the local ice thickness measurement data support system. The dynamic analysis unit calls the ice condition-propulsion matching model in the decision model library, combines it with the current operating parameters of the propulsion system, analyzes propulsion efficiency, structural stress, and safety margin, and generates the optimal propulsion strategy. The instruction output module sends control instructions to the motor controller of the icebreaker's low-speed motor direct-drive propulsion system to achieve dynamic adjustment of speed and torque.

[0016] Furthermore, the decision model library contains propulsion parameter optimization models corresponding to different ice thickness levels and ice density. The decision cycle of the dynamic analysis unit does not exceed 100ms, and it supports real-time updates of the propulsion strategy based on changes in ice conditions.

[0017] Furthermore, the propulsion parameter optimization model employs a machine learning-based adaptive control algorithm, which can continuously optimize the control strategy based on historical operating data.

[0018] Furthermore, the system also includes a remote monitoring and data transmission module, which is used to transmit the propulsion system's operating data, ice load data, and ice thickness data to the shore-based monitoring center in real time.

[0019] Furthermore, the system has fault self-diagnosis and redundancy control functions. When an abnormality is detected in the propulsion system, it can automatically switch to standby control mode or issue a maintenance prompt.

[0020] The present invention has the following beneficial effects: 1. Improve propulsion efficiency and reliability: By eliminating the reduction gearbox through the low-speed motor direct drive architecture, the transmission efficiency is improved by 8%-15%. At the same time, the reduced number of propulsion system failure points and real-time shaft system monitoring ensure operational stability in low-temperature environments and reduce maintenance costs. 2. Achieve comprehensive real-time monitoring of ice load on the propulsion system: Multiple sensor layouts cover the core stress areas of the propulsion system, adaptive filtering algorithms and high-speed data transmission ensure data validity, and anomaly warning functions can detect load risks in advance, improving navigation safety; 3. Improve ice condition perception accuracy and prediction capability: Multi-beam radar can measure ice thickness within a range of ±60°, and predict ice conditions in advance based on ice thickness change trends, allowing sufficient time for adjusting propulsion strategies.

[0021] 4. Possesses intelligent dynamic decision-making and closed-loop control capabilities: The multi-parameter decision model (combining ice thickness, ice density, and system status) keeps propulsion efficiency deviation within 5%, shortens the decision-making cycle, and ensures rapid response to changes in ice conditions through closed-loop control, avoiding "overshoot" or "underload" problems, and improving propulsion performance stability by more than 20% under complex ice conditions.

[0022] In summary, this invention effectively solves the technical bottlenecks of existing polar icebreaker propulsion systems through the synergistic integration of multiple systems, providing reliable technical support for the efficient and safe navigation of polar icebreakers, and has significant engineering application value and promotion prospects. Attached Figure Description

[0023] Figure 1 This is a schematic diagram of the intelligent propulsion system for the polar icebreaker of this invention. Detailed Implementation

[0024] The specific embodiments of the present invention are described below with reference to the figures: like Figure 1As shown, the icebreaker low-speed motor direct-drive propulsion system of the present invention aims to solve the problems of low efficiency, frequent failures, and poor adaptability of traditional transmission architectures. It includes an icebreaker low-speed motor direct-drive propulsion system, an intelligent monitoring system for ice load propulsion systems, a local ice thickness measurement data support system, and a propulsion system dynamic characteristic decision analysis system. The intelligent propulsion system for polar icebreakers of the present invention integrates four core functional modules to form a closed-loop system of "power output - data monitoring - data support - decision control".

[0025] The core components of the icebreaker's low-speed motor direct-drive propulsion system include: a low-speed permanent magnet synchronous motor, a propulsion shaft system, an intermediate bearing, a thrust bearing, a shaft seal, a propeller shaft support bearing, a propeller, and a motor controller. The low-speed permanent magnet synchronous motor has a rated speed of no more than 300 rpm, matching the low-speed, high-torque requirements of icebreaking. Its stator windings use low-temperature resistant insulating materials (withstanding temperatures from -60℃ to 80℃), and the rotor incorporates high-performance permanent magnets to ensure magnetic performance stability in low-temperature environments. The transmission system directly connects the low-speed permanent magnet synchronous motor to the propeller via the propulsion shaft system, eliminating the need for a traditional reduction gearbox and reducing transmission losses. The propulsion shaft system integrates torque, thrust, vibration, and displacement sensors to collect real-time torque and thrust fluctuations and vibration data during shaft operation. The bearings use sensors to collect bearing load data in real time, and multiple displacement sensors are installed before and after the propeller shaft support bearing to measure the shaft center trajectory in real time. The propulsion motor control system incorporates a PID (proportional-integral-derivative) adjustment algorithm in the motor controller. It can receive control commands from the propulsion system's dynamic characteristic decision analysis system, enabling continuous adjustment of the motor's output speed and torque, shortening response time and ensuring rapid power output matching changes in ice conditions.

[0026] The intelligent monitoring system for ice load propulsion systems addresses the limitations of existing monitoring capabilities and the lag in data processing. Specifically, it includes: Sensor layout: The ice load sensor group comprises pressure sensors, strain gauge torque sensors, and acceleration sensors. Pressure sensors (measurement range 0-20 MPa, accuracy 0.2) are deployed at the propeller blade roots (2 per blade root) and in the icebreaking area of ​​the hull (8-12 in total, located at the bottom of the bow and both sides). Strain gauge torque sensors (integrated with the propulsion shaft system, measurement range 0-50 kN*m) monitor shaft torque fluctuations. Acceleration sensors (measurement range 0-500 m / s²) are used to monitor these fluctuations. 2 ) are installed on the propulsion shaft support structure (one at each support bearing) to achieve full coverage of the contact load between ice and the propulsion system and the hull; The local ice thickness measurement data support system addresses the issues of low accuracy and lack of trend prediction in existing ice condition sensing systems. Specifically, it includes a multi-beam ice thickness measurement radar installed on the bow and sides of the icebreaker, covering a range of ±60° forward and to both sides of the hull, enabling parallel detection in multiple areas. The radar's emitted signals are reflected by the ice surface and bottom, then transmitted to the ice thickness data processing unit via a data transmission module. The processing unit calculates the local ice thickness measurement by calculating the signal propagation time at the air-ice and ice-water interfaces and combining this with the ice's dielectric constant. Based on nearly one hour of historical measurement data (sampling interval 10 seconds), the ice thickness data processing unit uses a linear regression algorithm to fit an ice thickness change model, predicting the ice thickness trend for the next 5-10 minutes (prediction error not exceeding ±10cm). Simultaneously, it generates an ice thickness distribution map, which is displayed in real-time on the ship's control console, providing intuitive ice condition information for the crew and decision-making systems.

[0027] The propulsion system dynamic characteristic decision analysis system addresses the problems of existing decision models being singular, slow in response, and lacking closed-loop control. Specifically, it includes: a data input module receiving real-time monitoring data (load, torque, vibration) from the intelligent monitoring system for the ice load propulsion system and ice thickness data (measured values, distribution maps, and trends) from the local ice thickness measurement data support system via Ethernet; and simultaneously collecting the current operating parameters (speed, torque, motor temperature) of the icebreaker's low-speed motor direct-drive propulsion system. Decision model and analysis: The decision model library contains propulsion parameter optimization models corresponding to different ice thickness levels and ice density. Each model is established by incorporating parameters such as the ice elastic modulus (preset value 2-5 GPa, which can be corrected according to ice thickness changes) and propulsion system structural stress. The dynamic analysis unit uses a fuzzy control algorithm to call matching models from the decision model library to perform multi-dimensional analysis of the input data (including propulsion efficiency calculation, structural stress verification, and safety margin assessment) to generate the optimal propulsion strategy (including target speed and target torque). The command output module sends control commands to the motor controller of the icebreaker's low-speed motor direct-drive propulsion system via a CAN bus (transmission rate 500kbps) to achieve dynamic adjustment of propulsion parameters. At the same time, it receives the actual operating parameters (speed and torque) fed back by the motor controller and compares them with the target parameters. If the deviation exceeds 5%, the dynamic analysis unit is re-triggered to optimize the decision, forming a closed-loop control of "power output - data monitoring - data support - decision control" to ensure that the propulsion system is always in the optimal operating state.

[0028] This embodiment is merely an exemplary description of the present invention and does not limit its scope of protection. Those skilled in the art can make partial changes to it, as long as they do not exceed the spirit and essence of the present invention, they are all within the scope of protection of the present invention.

Claims

1. An intelligent propulsion system for polar icebreakers, characterized in that: The system includes an icebreaker low-speed motor direct-drive propulsion system, an intelligent monitoring system for ice load propulsion systems, a local ice thickness measurement data support system, and a propulsion system dynamic characteristic decision analysis system. The icebreaker low-speed motor direct-drive propulsion system provides the propulsion power required for icebreaking and bears the torque, thrust, and radial force generated by the impact of the ice propellers during navigation in ice-covered areas. The intelligent monitoring system for ice load propulsion systems is connected to the icebreaker low-speed motor direct-drive propulsion system and is used to monitor the ice load and motion-related parameters borne by the propulsion system in real time. The local ice thickness measurement data support system is used to acquire local ice thickness data of the navigation area. The propulsion system dynamic characteristic decision analysis system is connected to the intelligent monitoring system for ice load propulsion systems and the local ice thickness measurement data support system. Based on the propulsion system load and motion monitoring data and local ice thickness data, it performs decision analysis on the dynamic operating characteristics of the propulsion system and outputs control commands to the icebreaker low-speed motor direct-drive propulsion system, realizing intelligent coordinated operation of the entire propulsion system.

2. The intelligent propulsion system for polar icebreakers according to claim 1, characterized in that: The low-speed motor direct-drive propulsion system includes: a low-speed, high-torque permanent magnet synchronous motor; a frequency converter drive unit for controlling motor speed and torque; an ice-impact resistant thrust bearing; an intermediate shaft; an intermediate bearing; a propeller shaft; a hydraulic coupling; front and rear propeller shaft support bearings; front and rear propeller shaft seals; a closed-loop cooling system for cooling the motor; a thrust bearing lubrication system; an intermediate bearing lubrication system; and a propeller shaft support bearing lubrication system. The low-speed, high-torque permanent magnet synchronous motor is directly connected to the propeller via the propulsion shaft system, eliminating the need for a traditional reduction gearbox and reducing transmission losses. The propulsion shaft system integrates torque sensors, thrust sensors, vibration sensors, and displacement sensors to collect torque and thrust fluctuations and vibration data during shaft operation in real time. The bearings use sensors to collect bearing load in real time, and multiple displacement sensors are installed at the front and rear of the propeller shaft support bearings to measure the shaft center trajectory in real time.

3. The intelligent propulsion system for polar icebreakers according to claim 1, characterized in that: The rated speed of the low-speed, high-torque permanent magnet synchronous motor is no higher than 300 rpm, which matches the low speed and high torque requirements for ice breaking. Its stator winding is made of low-temperature resistant insulating material that can withstand a temperature range of -60℃ to 80℃, and the rotor has built-in high-performance permanent magnets.

4. The intelligent propulsion system for polar icebreakers according to claim 1, characterized in that: The intelligent monitoring system for the ice load propulsion system includes torque and vibration sensors mounted on the propulsion shaft to collect torque and vibration data during shaft operation; a shaft center trajectory monitoring system to monitor the radial displacement of the front and rear end faces of the propeller shaft's front and rear support bearings and generate operating trajectories and lubricant film curves; a bearing load measuring device to measure the load data of the radial bearings of the intermediate bearings and thrust bearings in the shaft system; a torque and thrust testing sensor installed on the shaft system to detect the dynamic parameters of torque and thrust of the propulsion shaft system in real time; a shaft speed measuring device to monitor the speed fluctuations of the propulsion shaft system in real time; a data acquisition and processing unit to acquire the output signals of the sensor group in real time, filter, amplify, and convert the signals to digital after signal preprocessing, and then transmit them to the monitoring terminal for data storage and anomaly warning; an ice load assessment module to estimate the magnitude and direction of ice load based on the monitoring data; and an alarm and recording module. The monitoring terminal has a built-in anomaly threshold judgment unit that triggers an audible and visual warning and marks the abnormal data when the monitoring data exceeds a preset threshold.

5. The intelligent propulsion system for polar icebreakers according to claim 1, characterized in that: The local ice thickness measurement data support system includes a multibeam ice thickness measurement radar, a data transmission module, an ice thickness data processing unit, a data fusion module, and a data interface module. The multibeam ice thickness measurement radar is installed on the bow and side of the icebreaker to transmit detection signals and receive reflected signals from the ice surface and ice bottom. The data transmission module transmits the reflected signals to the ice thickness data processing unit, which calculates the signal propagation time difference and the refractive index of the medium to obtain the local ice thickness measurement value and generate an ice thickness distribution map. The data fusion module is used to integrate ice thickness data with ship position and heading information to form ice condition navigation data; The data interface module is used to transmit ice condition navigation data to the decision analysis system.

6. The intelligent propulsion system for polar icebreakers according to claim 1, characterized in that: The propulsion system operation decision analysis system includes a data input module, a decision model library, a dynamic analysis unit, and an instruction output module. The data input module receives monitoring data from the intelligent monitoring system for ice load propulsion system and ice thickness data from the local ice thickness measurement data support system. The dynamic analysis unit calls the ice condition-propulsion matching model in the decision model library, combines it with the current operating parameters of the propulsion system, analyzes propulsion efficiency, structural stress, and safety margin, and generates the optimal propulsion strategy. The instruction output module sends control instructions to the motor controller of the icebreaker's low-speed motor direct-drive propulsion system to achieve dynamic adjustment of speed and torque.

7. The intelligent propulsion system for polar icebreakers according to claim 6, characterized in that: The decision model library contains propulsion parameter optimization models corresponding to different ice thickness levels and ice density. The decision cycle of the dynamic analysis unit does not exceed 100ms and supports real-time updates of the propulsion strategy based on changes in ice conditions.

8. The intelligent propulsion system for polar icebreakers according to claim 7, characterized in that: The propulsion parameter optimization model employs an adaptive control algorithm based on machine learning, which can continuously optimize the control strategy based on historical operating data.

9. The intelligent propulsion system for polar icebreakers according to any one of claims 1-8, characterized in that: The system also includes a remote monitoring and data transmission module, which is used to transmit the propulsion system's operating data, ice load data, and ice thickness data to the shore-based monitoring center in real time.

10. The intelligent propulsion system for polar icebreakers according to claim 9, characterized in that: The system has self-diagnosis and redundancy control functions. When an abnormality is detected in the propulsion system, it can automatically switch to standby control mode or issue a maintenance prompt.

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