147 results about "Marine power system" patented technology

The invention relates to the technical field of ships, in particular to a fault monitoring system and method for a ship power system, and the system comprises a multi-source data collection module which carries out the real-time collection of the operation parameters, environment parameters and equipment state parameters of the ship power system through a collection device. The fault early warning module is used for predicting the development trend of the fault after the fault diagnosis is completed; the early warning decision module generates early warning information of different levels according to the state evaluation result, the fault diagnosis result and the RUL prediction result, gives targeted operation and maintenance decision suggestions, and pushes the suggestions to a ship cockpit, a shore-based operation and maintenance center and an operation and maintenance personnel mobile terminal; 24-hour uninterrupted multi-parameter acquisition of the ship power system is realized through the multi-source sensor network, three types of parameters of operation, environment and state are covered, acquisition delay is reduced, and the problems of poor timeliness and incomplete parameter coverage of traditional manual inspection are solved.

The invention relates to the technical field of ship power systems and energy management. The invention provides an energy optimization management method and system for an extended-range hybrid power ship. The method comprises the following steps: collecting ship multi-source heterogeneous data in real time, and constructing a multi-source heterogeneous data set; based on the multi-source heterogeneous data set, constructing a load prediction model based on a time sequence convolutional network and long and short term memory fusion, and dynamically outputting propulsive power demand probability distribution in a future navigation period; a multi-objective optimization model is established, and an improved multi-objective genetic algorithm is adopted to generate a Pareto frontier solution set; and on the basis of a rolling time domain optimization framework, in combination with real-time navigation situation awareness data, carrying out online correction on the Pareto solution set, and generating and executing an optimal energy distribution instruction set. The problems of an existing extended-range hybrid power ship energy management technology in the aspects of working condition adaptability, multi-energy coupling efficiency, real-time state sensing and predicting capacity and emission and economical efficiency balance are solved.

The invention discloses a ship main power and auxiliary power real-time switching method and system based on large model optimization, and relates to the technical field of ship power system control, and the method comprises the steps: collecting the operation state data and environment parameters of a ship main power system and an auxiliary power system in real time through a multi-mode sensor array; and performing space-time alignment and noise suppression processing on the operation state data and the environment parameters, inputting the feature subset into a lightweight large model inference engine, generating a multi-target optimization decision set, executing a main and auxiliary power dynamic switching control sequence in a preset time window according to the multi-target optimization decision set, and outputting the main and auxiliary power dynamic switching control sequence. And generating a self-optimization log including a switching efficiency evaluation report and a model iteration suggestion based on the deviation degree of the switching feedback data and a preset performance index. According to the ship main and auxiliary power real-time switching method and system based on large model optimization, stable operation of a ship power system is guaranteed, and meanwhile the service life of equipment is prolonged.

The invention discloses a ship power system optimization scheduling method and system based on a genetic algorithm, and relates to the technical field of ship power control, and the method comprises the steps: obtaining real-time operation parameters of a ship power system, building an initial population of the genetic algorithm based on the operation parameters, and carrying out the optimization scheduling of the ship power system based on an energy consumption characteristic index and an emission characteristic index. And calculating the comprehensive fitness value of each individual, performing selection operation, interlace operation and mutation operation on the initial population to generate a new population, repeatedly performing population iterative optimization until a preset condition is met, outputting a navigational speed adjustment parameter combination, a generator set start-stop decision sequence and a power distribution scheme, and generating a ship power system control instruction set. According to the ship power system optimization scheduling method and system based on the genetic algorithm provided by the invention, the operation efficiency of the ship power system is improved, the energy consumption is reduced, and the carbon emission is reduced.

The invention discloses a ship power system optimization control method and system based on a simulated annealing algorithm, and relates to the technical field of ship power control, and the method comprises the steps: obtaining operation parameters and historical energy consumption data in real time, and constructing a multi-objective optimization function of dynamic weight distribution; generating an initial temperature parameter and a solution set in combination with the navigation state and the environment data; a neighborhood search strategy disturbance solution set is improved, a new solution is evaluated by using a dynamic acceptance probability function, temperature parameters are adaptively adjusted for iterative optimization, and an optimal control parameter combination is output; and an adjustment instruction set is generated after multi-dimensional efficiency verification, and a propulsion device, a generator set and an energy storage module are cooperatively controlled, so that global energy consumption optimization is realized. According to the method, through data driving and intelligent algorithm fusion, energy efficiency and environmental adaptability are improved, and stable operation under complex working conditions is guaranteed. According to the ship power system optimization control method and system based on the simulated annealing algorithm, the energy efficiency level and the environmental adaptability of the ship power system are improved.

The invention provides a ship shaft power generation and lithium battery coordinated multi-working-condition energy optimization management system, which is applied to the technical field of ship power systems and energy management and comprises a data acquisition module, an energy optimization processing module and a power regulation and control module, wherein the energy optimization processing module is provided with a prediction unit, a working condition identification unit, a loss evaluation unit and a decision-making unit, the prediction unit is used for predicting a ship load demand in a preset period, the working condition identification unit is used for identifying a ship operation working condition, and the loss evaluation unit is used for determining a life loss factor by combining a prediction result and an energy storage unit state; the decision-making unit generates a regulation and control instruction based on the life loss factor and the state of the power generation unit to realize power distribution of the power generation unit and the energy storage unit; according to the system, multi-working-condition energy consumption requirements of the ship are met, meanwhile, comprehensive optimization of fuel consumption cost and energy storage unit service life loss cost is achieved, the energy utilization rate is increased, the service life of the energy storage unit is prolonged, and the full-life-cycle operation cost of the ship is reduced.

The invention discloses a real-time monitoring method and system based on a ship running state, and relates to the technical field of ships, and the method comprises the following steps: obtaining ship navigation environment information and running state information of a ship, and combining the ship navigation environment information and the running state information of the ship to form a ship data set; wherein the ship navigation environment information comprises meteorological data, sea condition data and surrounding ship distribution information, and the operation state information comprises power system parameters and key navigation indexes; if the ship navigation environment information in the ship data set meets the condition, feature extraction and recognition are carried out on the ship navigation environment information, and the ship navigation risk level is determined by combining the ship navigation environment information with the running state information of the ship; the effect is that whether the working state of the ship power system needs to be adjusted can be judged.

The invention discloses a control method and system based on transient impact suppression in main and auxiliary power switching, and relates to the technical field of ship power system.The method comprises the steps that dynamic parameters of a ship main and auxiliary power system are collected in real time through a multi-source sensor, transient feature extraction and correlation analysis are carried out on the dynamic parameters, and transient impact suppression is carried out on the dynamic parameters; constructing a multi-dimensional impact feature library containing an impact strength quantized value, a power sudden change gradient and an energy compensation demand; and based on the impact feature library, generating a hybrid energy storage cooperative control instruction set through a dynamic weight distribution algorithm, executing a staged transient suppression control sequence in a preset time window, and executing the staged transient suppression control sequence in the preset time window. According to the control method and system based on transient impact suppression in main and auxiliary power switching, stable operation of a ship power system is guaranteed, and meanwhile the service life of equipment is prolonged.

The invention discloses a fault detection method for a ship power condenser system based on multi-scale feature fusion, relates to the fault detection method for the ship power condenser system based on the multi-scale feature fusion, and belongs to the field of fault diagnosis and safety monitoring of ship power systems. The objective of the invention is to solve the problems of insufficient detection precision and high false alarm rate of a traditional fault diagnosis method. The method comprises the following steps: step 1, acquiring input and output information of a condenser system; 2, constructing a multi-scale feature extraction model; 3, obtaining a trained multi-scale feature extraction model and parameters; 4, inputting online data of the condenser system into the trained multi-scale feature extraction model, and outputting predicted values of the liquid level and the vacuum degree of the condenser by the trained multi-scale feature extraction model; the residual generator obtains an online prediction error signal based on the prediction value; and step 5, performing fault diagnosis based on the online prediction error.

The invention provides bionic fractal micro-channel reactor equipment for fluid fuel hydrogen production, which is particularly suitable for marine mobile hydrogen production scenes such as a ship power system and an offshore hydrogen refueling station. The microreactor adopts an upper, middle and lower layer functional structure design, and comprises a diversion diffusion area, a chemical reaction area and a product buffer collection area, the diversion diffusion area and the product buffer collection area are fractal tree-shaped microchannels with optimal continuous length ratio and mass diffusion flux, and the diffusion resistance of reactants can be remarkably reduced. By virtue of the characteristics of compact structure, vibration resistance and easiness in integration of the fractal microchannel, uniform distribution and efficient transportation of reactants are realized, heat and mass transfer performance can be enhanced under harsh working conditions of the ocean, and hydrogen production efficiency and system reliability are improved by combining efficient heat source supply and fuel conversion processes; and the requirements of an ocean mobile platform on efficient, compact and stable hydrogen production equipment are met.

The invention provides a multi-working-condition dynamic adaptive ship hybrid power dispatching system, which is applied to the technical field of ship power systems and energy management, and comprises a data exchange module, a working condition module, a hybrid power generation module and an energy management module, wherein the data exchange module realizes cross-protocol data analysis and unified timestamp packaging, and ensures the consistency and real-time performance of data exchange between modules; the working condition module is used for collecting ship working conditions and generating working condition conversion signals, an EMS in the energy management module is used for calculating a scheduling strategy, and the hybrid power generation module executes power distribution and charge-discharge control of the diesel generator set, the axle generator and the battery pack according to the scheduling strategy. Through the data exchange module, the problems of data delay and errors caused by complex protocol fusion and non-uniform clocks are solved, and the dynamic adaptation and response capability of the ship under complex working conditions is effectively improved.

The invention provides a ship power system key component fault detection method based on a fractional drive diffusion reconstruction model, and the method comprises the steps: collecting an original one-dimensional vibration signal of a ship power system, and extracting the multi-scale time-frequency domain characteristics of the original one-dimensional vibration signal; performing forward diffusion, score function estimation and optimization training on the basis of the multi-scale time-frequency domain features to obtain a score-driven diffusion model so as to model normal vibration signal distribution; and constructing a reconstruction error discrimination mechanism based on a fractional drive diffusion model, performing signal reconstruction through a multi-step reverse diffusion process, and calculating a reconstruction error so as to perform automatic anomaly detection. According to the method, high-dimensional complex signals can be effectively represented and decoupled, the accuracy and sensitivity of anomaly detection are remarkably improved, and fault self-adaptive judgment, low fault false alarm, low fault missing report and the like are achieved.

The invention provides a failure mode identification method and device of a new energy ship power system, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring real-time multi-modal data of a new energy ship power system, and extracting multi-modal fusion features based on the real-time multi-modal data; based on the multi-modal fusion feature, performing retrieval in a pre-constructed failure mode knowledge graph, and obtaining each knowledge graph association result associated with the real-time state of the new energy ship power system; splicing the multi-modal fusion feature with the map feature of each knowledge map association result to obtain a feature splicing result; and inputting the feature splicing result into a large language model to obtain a failure mode recognition result for the new energy ship power system. By adopting the method, the failure mode of the new energy ship power system can be accurately and reliably identified.

The invention provides a ship power system abnormity monitoring method, which integrates multi-source and multi-mode monitoring state information of a ship power system, and realizes high-efficiency monitoring of ship power system equipment and system operation states. A ship power system normal / abnormal sample is simulated and generated through a three-dimensional model, a simulation model and a signal processing transformation technology by utilizing an existing abnormal sample and expert knowledge, and a CLIP large model is finely adjusted by an intelligent computing platform based on cloud-edge collaboration, so that a scheme for monitoring the abnormity of the ship power system by using a small amount of abnormal data is realized; according to the method, the binding of the picture and the text is realized through the CLIP model, namely, the CLIP can obtain the exception description in the picture, and a subsequent processing scheme can be generated through the exception description, so that the accurate pushing of the exception alarm is realized, and useless exception alarm signals are shielded for irrelevant operators.

The invention discloses a reliability index distribution method and system suitable for a ship power system. The objective of the invention is to overcome the defects of a traditional ship power system reliability evaluation method in the aspects of dynamic performance, real-time performance and adaptability. According to the method, real-time operation data, including temperature, pressure, vibration frequency, abrasion loss and other key parameters, of all subsystems in a ship power system are collected, and dynamic reliability influence factors are constructed based on the data. By introducing a deep reinforcement learning model, the system can adjust the weight coefficient of each subsystem according to the current dynamic reliability influence factor. In addition, in combination with historical fault data, a fault propagation path is modeled through a graph neural network (GNN), and a fault rate correction factor is calculated, so that the accuracy of reliability distribution is improved. And finally, verifying the rationality of a reliability distribution result through a Monte Carlo simulation method, and dynamically adjusting system parameters according to a simulation result to ensure stable operation of the ship power system.

The invention relates to a ship power system high-degree-of-freedom digital twin interaction method based on space intelligence. The method comprises the steps that S1, a power system digital twin driven by multi-source data is constructed; s2, building a high-fidelity three-dimensional model of ship power system space perception; s3, multi-degree-of-freedom dynamic space virtual-real interaction design is carried out; and S4, performing three-dimensional interaction driving and resource optimization management. Compared with a traditional power system two-dimensional monitoring means, the ship power system digital twinborn space intelligent interaction method system is based on multi-level high-fidelity three-dimensional modeling and digital twinborn construction, the system global situation mastering and equipment local state accurate sensing capacity is improved, and the ship power system digital twinborn space intelligent interaction method system has the advantages of being high in practicability and easy to popularize. The multi-degree-of-freedom dynamic interaction and three-dimensional visual virtual-real mapping capability of the system based on multi-source data driving is enhanced, and a three-dimensional interaction technical architecture with a digital twinborn body as a core is provided for operation and maintenance of a ship power system.

Provided is a method for adjusting lubrication optimization of a marine main engine cylinder based on computer vision, and belongs to the technical field of marine power systems. The method includes: establishing a marine main engine lubrication database for cylinder lubrication analysis and quality evaluation; collecting cylinder lubrication data of each current cylinder, and preprocessing cylinder lubrication image set data; performing image segmentation and cluster analysis on the preprocessed cylinder lubrication image set, and comparing the preprocessed cylinder lubrication image set with the marine main engine lubrication database to obtain feature recognition results of carbon deposition, dirts, scratches and a wear degree; and according to the feature recognition results, evaluating a cylinder lubrication quality to obtain evaluation grades, and adjusting cylinder lubrication optimization according to the evaluation grades.

The invention provides a pump valve dynamic coordination control method and system of a ship cooling system, and relates to the technical field of ship power system.The method comprises the steps that state parameters of the ship cooling system are collected in real time, and the current vacuum state of a mixing condenser and the current film forming state of condensate water sprayed by multiple nozzles of a nozzle adjusting valve set are obtained; adjusting and controlling the opening degree of a nozzle adjusting valve group based on the current vacuum state so as to ensure that the vacuum degree of the mixing condenser meets the control requirement; the spray flow set value is obtained by obtaining the mapping relation between the pressure difference of an inlet and an outlet of a nozzle and the spray flow of correspondingly sprayed condensate water, the current spray flow is made to be equal to the spray flow set value by regulating and controlling the rotating speed of a condensate water circulating pump, and it is guaranteed that the condensate water is sprayed out in a liquid film shape. The problem that according to an existing ship cooling system, it cannot be guaranteed that condensate water is sprayed out in a liquid film shape after being adjusted through a condensate water circulating pump and a nozzle adjusting valve set is solved.

The invention discloses a real-time reliability evaluation method for a marine autonomous surface ship power system based on diagnosis input, and the method comprises the steps: obtaining the operation state data of one or more parts, and obtaining a processed data sequence; obtaining a pre-trained fault diagnosis model, and inputting the processed data sequence into the pre-trained fault diagnosis model to obtain a fault diagnosis result; and constructing a dynamic Bayesian network, performing posterior reasoning through the dynamic Bayesian network in combination with the fault diagnosis result, and outputting a reliability evaluation result of the marine autonomous surface ship power system. According to the method, causal reasoning is carried out by using a component-level fault diagnosis result and combining a dynamic Bayesian network, so that local fault information can dynamically influence system-level prediction, the gap between component-level diagnosis and global reliability estimation is bridged, the problem that system-level quantitative analysis cannot be carried out due to system-level fault data missing is solved, and the reliability of the system is improved. And system-level real-time reliability evaluation can be achieved, and safe operation of the autonomous ship is guaranteed.

The invention relates to the technical field of ship power systems, in particular to a device and method for monitoring and troubleshooting components of a cooling system of a marine range extender, and solves the problems that an existing system is difficult in troubleshooting and low in reliability. According to the method, the high-voltage and fault states of the system are judged by obtaining working parameters after the system is awakened, low-voltage component self-inspection is conducted under specific conditions, the working states of a water pump and a fan are judged by calculating step-down DCDC output power, self-inspection or monitoring is triggered according to the electric control temperature of a motor, and positioning is conducted by means of an indicator lamp when a fault occurs. The device comprises a step-down DCDC, an RCU controller, a man-machine interaction control screen and the like which work cooperatively. Intelligent monitoring and rapid troubleshooting of cooling system components are achieved, the ship operation reliability is improved, the maintenance cost is reduced, and stable operation of the range extender is guaranteed.

The invention discloses a layered multi-dimensional fault diagnosis method and system for a methanol fuel ship power system, and relates to the technical field of fault diagnosis and monitoring of ship power systems, and the method comprises the steps: dividing into four coupling levels along a path of methanol supply-chemical electric energy conversion-motor propulsion-whole ship energy efficiency; constructing a hierarchical coupling diagnosis model comprising a local diagnosis function of each level, a system overall diagnosis function, a cooperative monitoring and diagnosis iteration relation and a coupling correlation model; collecting and preprocessing real-time operation data of each hierarchy, inputting the real-time operation data into the model for fault diagnosis and cross-hierarchy association analysis, obtaining and outputting a diagnosis result, and generating differentiated disposal suggestions; the method is accurate in diagnosis value quantification, high in objectivity, extremely simple and practical in hierarchical correlation formula, and excellent in real-time performance; coupling fault identification is efficient, coverage is comprehensive, cascade fault tracing is accurate, and disposal is efficient; and the adaptability and the reliability are high.

The application relates to the technical field of intelligent monitoring, and discloses a multi-source sensor fault detection method, computer equipment, a computer readable storage medium and a computer program product, to solve the problem that traditional sensor fault detection methods need human intervention and cannot accurately detect, locate and correct faults of a large number of multi-source sensors in a ship power system in real time. The method comprises the following steps: acquiring sensor data collected by sensors of multiple types; identifying faults of the sensors by using a convolutional neural network, to determine the types of the sensor faults; reconstructing sensor data collected by the sensors with faults by using a convolutional autoencoder corresponding to the types of the sensor faults, to output correction data; and replacing the sensor data collected by the sensors with faults with the correction data, to output a reconstruction data matrix. The method can accurately detect, classify and reconstruct fault data of the sensors.

The invention provides a new energy ship power system data efficient transmission and storage method and system, and relates to the technical field of ship data processing. The method comprises the following steps: acquiring data generated by a new energy ship power system, acquiring the data at a preset high frequency through a data acquisition and storage module, and storing the data in a data recorder in real time; according to the ship docking state, connection is established through a data transmission module, and data stored in the data recorder is transmitted to an operation center in batches; the data processing module processes and analyzes the transmitted data to obtain operation information of the power system; according to the invention, ultrahigh fidelity acquisition and reliable storage of power system data are realized, the continuity and integrity of the data are improved, a shore-based data transmission channel with low cost, high efficiency and high reliability is constructed, the data transmission cost is remarkably reduced, and the power system reliability and operation safety of a new energy ship are improved.

The present invention discloses a vibration and current feature fusion monitoring device for the wear state of a screw pump rotor, which belongs to the technical field of screw pump monitoring. The device comprises: obtaining the real-time vibration and current signals of the screw pump rotor, constructing a variational mode decomposition objective function with energy constraints, initially dividing the vibration signal into intrinsic mode functions, screening the correlation coefficients, obtaining the vibration subsets of the rotor and hull structure, and then separating the rotor vibration signal by an independent component analysis algorithm. A hierarchical feature fusion strategy is used to synchronize the pre-processed signals, construct a multivariate time series matrix, extract the wear feature set and perform phase space reconstruction to accurately identify sudden wear points. Once identified, the probability of sudden wear is calculated, the wear rate is corrected in combination with the normal wear degree, the remaining life is predicted and the maintenance level is divided. The device aims to solve the problems of existing screw pump monitoring technology being susceptible to interference, delayed response, difficult to adapt to complex working conditions and insufficient model generalization, and to ensure the stable operation of the ship's power system.

The invention relates to the technical field of ship power systems, in particular to a ship power system energy efficiency optimization control method based on artificial intelligence, and the control method comprises the steps: S1, carrying out the real-time collection and preprocessing of multi-source data; s2, power system energy efficiency state modeling based on an LSTM-CNN fusion model; s3, solving energy efficiency optimization parameters based on an improved particle swarm algorithm; and S4, carrying out optimal control instruction execution and feedback adjustment based on fuzzy PID (Proportion Integration Differentiation). According to the ship power system energy efficiency optimization control method based on artificial intelligence, the convergence speed can be improved through precise modeling of the LSTM-CNN fusion model and dynamic optimization of the improved particle swarm optimization, compared with a traditional control method, the comprehensive energy consumption rate of the ship power system can be reduced, the fusion model can rapidly capture dynamic changes such as sea conditions and loads in real time, and the control method is suitable for large-scale popularization and application. And the fuzzy PID controller can realize overshoot-free adjustment, so that the operation and maintenance cost can be effectively reduced, and the equipment failure rate is reduced.

The invention discloses a cross-medium energy coupling recycling method and system in main and auxiliary power switching, and relates to the technical field of ship power system energy recovery, and the method comprises the steps: capturing a multi-medium waste energy flow in a ship main and auxiliary power switching process in real time through a multi-mode sensing network; generating a feature data set comprising an energy entropy mapping table, a medium compatibility matrix and a dynamic recoverable threshold; calculating an optimal energy conversion path and a storage strategy, and generating a multi-objective optimization decision set; the heterogeneous energy recovery device is driven to execute cross-medium energy coupling operation, and energy conversion efficiency and system stability indexes are fed back in real time; and according to the deviation degree between the feedback data and a preset energy efficiency target, generating an energy reutilization efficiency evaluation report and a model adaptive log. According to the cross-medium energy coupling recycling method and system in main and auxiliary power switching, the energy recycling efficiency under the condition of ship working condition transition is improved.

This invention provides a marine battery power system and its control method, belonging to the field of marine power technology. The system includes: a fuel tank, a blower, a first heat exchanger, a second heat exchanger, a fuel cell stack, a DC-DC converter, a combustion chamber, and a lithium battery. The anode sides of the fuel tank, the first heat exchanger, and the fuel cell stack are sequentially connected; the cathode sides of the blower, the second heat exchanger, and the fuel cell stack are sequentially connected; and the reaction gas output terminal of the fuel cell stack is connected to the combustion chamber. The fuel cell stack is also electrically connected to a marine busbar for powering the marine propulsion system via the DC-DC converter. The marine battery power system provided by this invention, through the fuel tank, blower, first heat exchanger, second heat exchanger, fuel cell stack, DC-DC converter, and combustion chamber forming a solid oxide fuel cell structure, combined with a lithium battery to power the marine propulsion system, can solve the problems of existing marine power systems being unsuitable for long-distance ocean voyages and having short service life.

The application discloses a ship power system optimization scheduling method and system based on a genetic algorithm, and relates to the technical field of ship power control. The method comprises the following steps: acquiring real-time operation parameters of a ship power system; constructing an initial population of the genetic algorithm based on the operation parameters; calculating a comprehensive fitness value of each individual based on energy consumption characteristic indexes and emission characteristic indexes; performing selection operation, crossover operation and mutation operation on the initial population to generate a new population; repeatedly performing population iteration optimization until a preset condition is met; outputting a combination of ship speed adjustment parameters, a generator set start-stop decision sequence and a power distribution scheme; and generating a ship power system control instruction set. The ship power system optimization scheduling method and system based on the genetic algorithm improve the operation efficiency of the ship power system, reduce energy consumption and reduce carbon emissions.

This application discloses a remote start-stop control system and method for ships, including a ship-end system and a shore-end system. The ship-end system includes: a ship-end sensing unit for acquiring ship status information and execution result data; a ship-end communication unit for uploading ship status information and execution result data to the shore-end system and receiving remote control commands; and a ship-end control unit for performing preparation control, start control, and stop control of the ship's power system according to the remote control commands. The shore-end system includes: a shore-end control unit for receiving remote control commands; a shore-end communication unit for receiving ship status information and execution result data and issuing remote control commands; and a shore-end display unit for displaying ship status information, remote control commands, and execution result data. This application can reduce the system's reliance on manual labor, improve its intelligence, operational efficiency, and reliability, and can be widely applied in the field of ship control technology.

The application relates to the technical field of ship power control, and discloses a ship power system energy efficiency optimization control system based on multi-sensor fusion, which comprises the following modules: a multi-source data acquisition module, which is used for synchronously collecting hull, shafting and air path parameters; a kinematics mapping calculation module, which is used for calculating a propeller transient immersion index; a phase extraction and mode determination module, which is used for extracting a wave phase and an amplitude output mode signal; a fuel mechanical dynamics feedforward module, which is used for generating an oil injection instruction according to the amplitude and the immersion index derivative; an air thermodynamics cooperative control module, which is used for controlling a valve and starting a scavenging blower according to a phase angle; and a long-term energy efficiency optimization module, which is used for finely adjusting a main rotating speed setting value according to an energy efficiency cost function gradient. The technical scheme of extracting the transient immersion index and the fluctuation amplitude to dynamically adjust the rotating speed control dead zone and superimpose a negative fuel feedforward instruction is adopted, so that the technical effects of suppressing abnormal fluctuation of the main engine rotating speed under high sea conditions and reducing unnecessary fuel consumption are achieved.