A method and device for monitoring energy flow of a ship's biofuel electric propulsion system

Abstract

The present invention relates to a method and device for monitoring energy flow in a marine biofuel electric propulsion system, belonging to the technical field of marine power system monitoring. The method comprises: constructing a first data set containing historical data on biofuel input chemical energy and main engine output mechanical energy, a second data set containing historical data on main engine output mechanical energy and generator electrical energy, and a third data set containing historical data on generator electrical energy and motor drive energy; inputting the first, second, and third data sets into a fully trained gradient boosting tree model to obtain corresponding first, second, and third transfer factors; and determining the flow efficiency of the energy flow process based on the first, second, and third transfer factors. The present invention achieves a quantitative presentation of energy consumption flow efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of ship power system monitoring, and in particular to a method and device for monitoring energy flow of a ship biofuel electric propulsion system. Background Art

[0002] For most ships, the propulsion system is their largest energy consumer, accounting for approximately 60% to 80% of total energy consumption. From the perspective of the main engine alone, improving main engine efficiency through new technologies while maintaining the same output while reducing fossil fuel usage will significantly contribute to overall energy conservation. In recent years, the shipping industry has also identified alternative fuels and technologies as key measures to address energy conservation requirements.

[0003] A variety of alternative low-carbon marine fuels are currently under consideration, and engine manufacturers are developing methods to utilize them. Biofuels are compatible with existing marine engines and supply infrastructure, and their application in marine engines offers excellent combustion and emission characteristics. Furthermore, electric propulsion systems can effectively reduce noise, making ships more stable and quiet during navigation, enabling better optimization and adjustment, and can also reduce fuel consumption to a certain extent, allowing for more efficient energy utilization. However, their application in marine propulsion systems is currently limited and in the early stages of exploration, with engine modifications far from reaching commercial scale. Marine biofuel-electric propulsion systems undergo multiple energy conversions during operation, and the specific causes of energy loss remain unclear, making it difficult to implement targeted energy conservation measures. Furthermore, existing marine energy consumption equipment monitoring technologies primarily target traditional diesel propulsion systems and are not fully applicable to biofuel-powered main engine electric propulsion systems. Furthermore, existing technologies can only monitor different parameters during the energy transfer process, such as main engine output power, fuel consumption rate, ship speed, main shaft speed, oil analysis, and vibration status. They do not use unified indicators to monitor and analyze marine power system energy consumption from energy generation to output. In addition, although the energy flow model is used to analyze ship energy consumption, it does not further clarify the conversion method of energy flow at each stage during the operation of the power system. It cannot quantitatively present energy consumption and cannot understand the fundamental causes of energy loss in major energy-consuming equipment under biofuel electric propulsion. Summary of the Invention

[0004] In view of this, it is necessary to provide a method and device for monitoring the energy flow of a ship's biofuel electric propulsion system to solve the technical problem in the existing technology that the energy flow conversion method at each stage during the operation of the power system cannot quantitatively present the energy consumption and cannot understand the fundamental cause of energy loss of major energy-consuming equipment under biofuel electric propulsion.

[0005] In order to solve the above problems, the present invention provides a method for monitoring energy flow of a marine biofuel electric propulsion system, comprising:

[0006] Constructing a first data set comprising historical data of biofuel input chemical energy and host machine output mechanical energy, a second data set comprising historical data of host machine output mechanical energy and generator electrical energy, and a third data set comprising historical data of generator electrical energy and motor drive energy;

[0007] Inputting the first data set, the second data set, and the third data set into the fully trained gradient boosting tree model respectively, and obtaining the first transfer factor, the second transfer factor, and the third transfer factor accordingly;

[0008] The flow efficiency in the energy flow process is determined according to the first transfer factor, the second transfer factor, and the third transfer factor.

[0009] In a possible implementation, determining the flow efficiency during the energy flow process includes:

[0010] Determining, based on the first transfer factor, a first loss work caused by the biofuel input chemical energy not being transferred to the main engine output mechanical energy; wherein the first loss work includes energy consumed by the ship's auxiliary engines, energy consumed by the ship's equipment, and lost energy;

[0011] The conversion efficiency of the chemical energy input by the biofuel is determined according to the magnitude relationship between the first loss work and the first loss energy threshold.

[0012] In a possible implementation, determining the flow efficiency during the energy flow process further includes:

[0013] determining, based on the second transfer factor, a second loss work of the main engine output mechanical energy that is not transferred to the generator electrical energy;

[0014] The flow efficiency of the mechanical energy output by the host is determined according to the magnitude relationship between the second lost work and the second loss energy threshold.

[0015] In a possible implementation, determining the flow efficiency during the energy flow process further includes:

[0016] determining, based on the third transfer factor, a third loss work resulting from the electrical energy of the generator not being transferred to the driving energy of the motor;

[0017] The flow efficiency of the electric energy of the generator is determined according to the magnitude relationship between the third lost work and the third lost energy threshold.

[0018] In a possible implementation, before constructing the first data set including historical data of biofuel input chemical energy and host machine output mechanical energy, the step of obtaining the biofuel input chemical energy includes:

[0019] Obtain ship speed, engine speed, hull surface resistance, and friction resistance of key kinematic pairs of the power system;

[0020] The input chemical energy of biofuel is determined based on the impact of ship speed, engine speed, hull surface resistance and friction resistance of key moving parts of the power system on energy consumption.

[0021] In a possible implementation, after determining the flow efficiency in the energy flow process according to the first transfer factor, the second transfer factor, and the third transfer factor, the method further includes:

[0022] Using a pre-set expert evaluation method, the energy loss during the conversion of biofuel input chemical energy into motor drive energy is evaluated to obtain an evaluation result;

[0023] And according to the evaluation results, determine the weight coefficient of energy loss;

[0024] The maintenance priority among energy-consuming equipment in the ship's biofuel electric propulsion system is determined according to the weight coefficient.

[0025] In a possible implementation, after determining the flow efficiency in the energy flow process, the method further includes:

[0026] Determine whether the circulation efficiency is within the preset range;

[0027] If not, an alarm message is sent.

[0028] In a second aspect, the present invention further provides an energy flow monitoring device for a marine biofuel electric propulsion system, comprising:

[0029] a data preparation module for constructing a first data set comprising historical data of biofuel input chemical energy and host machine output mechanical energy, a second data set comprising historical data of host machine output mechanical energy and generator electrical energy, and a third data set comprising historical data of generator electrical energy and motor drive energy;

[0030] A transfer factor determination module is used to input the first data set, the second data set, and the third data set into the fully trained gradient boosting tree model, respectively, to obtain a first transfer factor, a second transfer factor, and a third transfer factor accordingly;

[0031] The flow efficiency determination module is used to determine the flow efficiency in the energy flow process according to the first transfer factor, the second transfer factor and the third transfer factor.

[0032] In a third aspect, the present invention further provides an electronic device, comprising: a processor and a memory;

[0033] The memory stores a computer-readable program executable by the processor;

[0034] When the processor executes the computer-readable program, the steps in the above-mentioned method for monitoring energy flow of a ship biofuel electric propulsion system are implemented.

[0035] In a fourth aspect, the present invention further provides a computer-readable storage medium storing one or more programs, which can be executed by one or more processors to implement the steps in the above-mentioned method for monitoring energy flow of a ship biofuel electric propulsion system.

[0036] The beneficial effects of the present invention are as follows: first, a first data set including historical data of biofuel input chemical energy and host output mechanical energy, a second data set including historical data of host output mechanical energy and generator electrical energy, and a third data set including historical data of generator electrical energy and motor drive energy are constructed; then, the first data set, the second data set, and the third data set are respectively input into a fully trained gradient boosting tree model to obtain a first transfer factor, a second transfer factor, and a third transfer factor; finally, based on the first transfer factor, the second transfer factor, and the third transfer factor, the flow efficiency in the energy flow process is determined. The present invention can quantitatively determine the loss and transmission efficiency in the energy flow process through the first transfer factor, the second transfer factor, and the third transfer factor, thereby understanding the fundamental cause of energy loss in each major energy-consuming device under biofuel electric propulsion, optimizing energy consumption in the energy flow process, and improving the overall energy utilization efficiency of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 A method flow chart of an embodiment of a method for monitoring energy flow of a marine biofuel electric propulsion system provided by the present invention;

[0038] Figure 2 A schematic structural diagram of an embodiment of the acquisition system in the energy flow monitoring method for a marine biofuel electric propulsion system provided by the present invention;

[0039] Figure 3 This is a flowchart of an embodiment of step S103 in the method for monitoring energy flow of a marine biofuel electric propulsion system provided by the present invention;

[0040] Figure 4 This is a schematic diagram of an embodiment of an energy flow monitoring device for a marine biofuel electric propulsion system provided by the present invention;

[0041] Figure 5 It is a schematic diagram of the operating environment of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0042] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of this application and are used together with the embodiments of the present invention to illustrate the principles of the present invention, and are not used to limit the scope of the present invention.

[0043] A specific embodiment of the present invention discloses a method for monitoring energy flow of a marine biofuel electric propulsion system. Figure 1 ,include:

[0044] S101, constructing a first data set comprising historical data of biofuel input chemical energy and host machine output mechanical energy, a second data set comprising historical data of host machine output mechanical energy and generator electrical energy, and a third data set comprising historical data of generator electrical energy and motor drive energy;

[0045] S102: inputting the first data set, the second data set, and the third data set into the fully trained gradient boosting tree model, respectively, to obtain a first transfer factor, a second transfer factor, and a third transfer factor;

[0046] S103: Determine the flow efficiency of the energy flow process according to the first transfer factor, the second transfer factor, and the third transfer factor.

[0047] It should be noted that the present embodiment only considers the process of transferring biofuel input chemical energy, engine output mechanical energy, generator electrical energy, and motor drive energy. Ultimately, the propulsion system driven by the motor drive energy is considered useful work, while energy flowing to other ship equipment does not affect the operation of the power system. Loss energy is considered useless work. Therefore, the first, second, and third transfer factors mentioned in the present embodiment all refer to the efficiency of transferring useful work from biofuel input chemical energy, engine output mechanical energy, generator electrical energy, and motor drive energy, to the motor drive energy driving the propeller.

[0048] In this embodiment, a first data set is first constructed, comprising historical data of biofuel input chemical energy and main engine output mechanical energy, a second data set of historical data of main engine output mechanical energy and generator electrical energy, and a third data set of historical data of generator electrical energy and motor drive energy. The first, second, and third data sets are then respectively input into a fully trained gradient boosting tree model to obtain a first transfer factor, a second transfer factor, and a third transfer factor. Finally, based on the first, second, and third transfer factors, the flow efficiency of the energy flow process is determined. The present invention can quantitatively determine the energy loss and transmission efficiency during the energy flow process through the first, second, and third transfer factors, thereby understanding the fundamental causes of energy loss in major energy-consuming devices under biofuel electric propulsion, optimizing energy consumption during the energy flow process, and improving the overall energy utilization efficiency of the system.

[0049] During normal navigation, the main engine consumes fuel to compensate for energy losses within the ship's propulsion system. The power generated then passes through the shafting system to drive the propeller. The resulting thrust balances the resistance experienced by the hull (overcoming the ship's resistance), ensuring the ship maintains a certain speed. Energy losses compensated by the main engine include friction losses, cooling water losses, exhaust losses, and other losses.

[0050] definition The chemical energy input into biofuel corresponds to the energy, The mechanical energy output by the host corresponds to the energy, The energy consumed by the ship's auxiliary engines, Energy consumed by other ship equipment, It is the sum of energy loss, and the unit of energy is kJ.

[0051]

[0052] The energy output from the host required by the transmission system Provided to the generator in the form of mechanical energy, further converted into electrical energy The form is transmitted to the propulsion motor, and finally the motor Drive the propeller to propel and do work.

[0053] In order to simplify the presentation of the results, the effective work in the energy transfer process is represented by superscript 1, and the loss work is represented by superscript 2. 、 、 It represents the energy transfer efficiency. When the ship's biofuel electric propulsion system operates normally, the transfer efficiency tends to a stable value.

[0054] Motor output energy

[0055] Electricity

[0056]

[0057] It should be noted that in step S101, various sensor groups installed on different devices measure parameters such as fuel consumption, torque, speed, power, and temperature of each unit of the propulsion system, and process the obtained parameters to convert them into quantifiable energy data, thereby obtaining the biofuel input chemical energy, main engine output mechanical energy, generator electrical energy, and motor drive energy. Figure 2 As shown in the figure, the sensor group consists of a fuel flow meter, a torque meter, a tachometer, a dynamometer and an infrared thermal imager. The main energy-consuming equipment of the biofuel electric propulsion system is the biofuel engine, generator, propulsion motor and propeller.

[0058] Furthermore, historical data on biofuel input chemical energy, main engine output mechanical energy, generator electrical energy, and motor drive energy refers to the quantitative information recorded and tracked for these energy forms over a specific time period. By collecting and organizing this historical energy data, it is possible to quantify energy losses during energy flow, thereby optimizing energy consumption during this process and improving the overall energy utilization efficiency of the system.

[0059] In step S102, the gradient boosting tree model is an ensemble learning method that combines multiple decision trees to complete prediction tasks. It gradually improves the model's predictive power by training each tree based on the residual (error) of the previous tree's prediction, thereby gradually reducing the model's bias. Specifically, the core concept of the gradient boosting tree is to minimize the loss function using gradient descent. In each iteration, the new tree attempts to correct the residual error of the combined model of all previous trees. This serial training method allows each tree to focus on correcting local deficiencies in the previous model, thereby gradually improving the accuracy of the overall model.

[0060] By inputting the historical data of biofuel input chemical energy and host output mechanical energy as the first data set into a fully trained gradient boosting tree model, the first transfer factor in the process of biofuel input chemical energy flowing into host output mechanical energy can be obtained, thereby determining the flow efficiency of the process of biofuel input chemical energy flowing into host output mechanical energy.

[0061] Furthermore, by inputting the historical data of the host's output mechanical energy and generator's electrical energy as the second data set into the fully trained gradient boosting tree model, the second transfer factor in the process of the host's output mechanical energy flowing into the generator's electrical energy can be obtained, thereby determining the flow efficiency of the process of the host's output mechanical energy flowing into the generator's electrical energy.

[0062] Furthermore, by inputting the historical data of generator electrical energy and motor drive energy as the third data set into the fully trained gradient boosting tree model, the third transfer factor in the process of generator electrical energy flowing into motor drive energy can be obtained, thereby determining the flow efficiency of the process from generator electrical energy to motor drive energy.

[0063] In some embodiments, the energy transfer efficiency is determined by referring to Figure 3 ,include:

[0064] S301. Determine, based on a first transfer factor, a first loss work caused by the biofuel input chemical energy not being transferred to the main engine output mechanical energy; wherein the first loss work includes energy consumed by the ship's auxiliary engines, energy consumed by the ship's equipment, and lost energy;

[0065] S302: Determine the conversion efficiency of the biofuel input chemical energy based on the relationship between the first lost work and the first lost energy threshold.

[0066] In this embodiment, the first transfer factor can be used to determine the first lost work, which is the amount of biofuel input chemical energy that is not transferred to the main engine's output mechanical energy. This first lost work includes energy used by other ship equipment as well as energy lost purely to waste. Therefore, by comparing this first lost work with the first lost energy threshold, it is possible to determine whether energy is being efficiently transferred and utilized, and whether the loss rate is within a controllable range. If not, this transfer process requires prioritization.

[0067] Furthermore, the second transfer factor can be used to determine the second lost work, which is the mechanical energy output by the main engine that is not transferred to the generator. This second lost work includes energy used by other ship equipment as well as energy lost purely to waste. Therefore, by comparing this second lost work with the second lost energy threshold, it is possible to determine whether energy is being effectively transferred and utilized, and whether the loss rate is within a controllable range. If not, this transfer process should be prioritized for investigation.

[0068] Furthermore, the third transfer factor can be used to determine the third lost work, where the generator's electrical energy is not transferred to the motor's drive system. This third lost work includes energy used by other ship equipment as well as energy lost purely to waste. Therefore, by comparing the third lost work with the second lost energy threshold, it is possible to determine whether energy is being efficiently transferred and utilized, and whether the loss rate is within a controllable range. If not, this transfer process should be prioritized for investigation.

[0069] In some embodiments, before constructing the first data set including historical data of biofuel input chemical energy and host output mechanical energy, the method further includes obtaining the biofuel input chemical energy, including:

[0070] Obtain ship speed, engine speed, hull surface resistance, and friction resistance of key kinematic pairs of the power system;

[0071] The input chemical energy of biofuel is determined based on the impact of ship speed, engine speed, hull surface resistance and friction resistance of key moving parts of the power system on energy consumption.

[0072] In the actual navigation process, the change of hull resistance and the power conversion of the propulsion system under different working conditions will affect the energy conversion ratio of each energy consumption unit in the energy transfer process. It is clear that under different ship speeds (v) and different engine speeds (n), the energy consumption caused by the hull surface resistance (R) and the friction resistance of the key kinematic pairs of the power system (F) and the ship input energy are The relationship is:

[0073]

[0074]

[0075] in, - the energy equivalent of the chemical energy input into the biofuel; — frictional resistance; - residual resistance; — wave resistance increase; - air resistance; - the ship's navigation speed; ——time, h; ——Shafting transmission efficiency; ——Relative rotational efficiency; — open water efficiency; - Hull efficiency; ——The sum of the energy losses of the main engine (including friction loss, cooling water loss, exhaust loss and other losses), kJ.

[0076] Furthermore, the energy calculation formula corresponding to the chemical energy input by biofuel shows that in the process of converting the energy of the ship's power system from chemical energy → mechanical energy → electrical energy → mechanical energy, because each energy can be converted into a function of the ship's speed over the ground, the navigation environment (water flow velocity, wind speed, channel depth) and the fuel consumption rate, when these input variables are consistent, it is possible to analyze which part of the different types of energy has the greatest impact on the total energy consumption of the ship's power system. However, the specific correspondence between the energy functions during actual navigation cannot be determined. Therefore, the weight coefficients of the m types of energy are determined based on the actual ship's operating conditions. The higher the weight, the greater the impact of the fluctuation of this type of energy on the total energy consumption. When the energy transfer efficiency in the energy flow monitoring system remains stable, the maintenance priority between the main energy-consuming equipment in the ship's biofuel electric propulsion system can be further determined according to the weight.

[0077] When monitoring the energy consumption of a real ship, n experts (personnel from ship management agencies or regulatory bodies, ship or maritime management personnel, shipping company employees, shipbuilding company employees, port company employees, and staff from relevant research institutions and universities, etc.) are selected to evaluate m types of energy consumption. First, the weight of the i-th expert is determined:

[0078]

[0079] in, ——The weight of the i-th expert. The sum of the evaluation weight coefficients of all experts is 1;

[0080] The sum of all experts' evaluation weight coefficients is 1:

[0081]

[0082] in, ——the weight of the mth energy consumption scenario determined by the i-th expert;

[0083] The determination weight of each evaluation expert is Then, calculate the relative weight of the kth energy :

[0084]

[0085] in, ——The relative weight of the kth energy, there are m types of energy in the energy flow process;

[0086] The evaluation weight of each expert is determined according to the principles of "authority", "familiarity" and "consistency". represents the difference between the scores of the two experts. The smaller the value, the smaller the difference in the evaluation results between the two experts:

[0087]

[0088] make , which represents the closeness between the evaluation scores of expert i and other experts. The weight of expert i is calculated by the following formula:

[0089]

[0090] The weight coefficients of m types of energy are determined by the above formula, and the maintenance priorities among the main energy-consuming equipment in the ship's biofuel electric propulsion system are determined by the weights.

[0091] Furthermore, the real-time energy flow values ​​and energy transfer efficiency of the power system during ship operation are compared with the theoretical values ​​of energy consumption data during stable operation of the ship power system to display the deviation between the actual and theoretical values. The difference is defined as 0-3% as normal, 3%-5% as minor abnormality, 5%-25% as mild abnormality, and above 25% as severe abnormality, and a reminder will be displayed.

[0092] Based on the above-mentioned method for monitoring energy flow of a ship's biofuel electric propulsion system, the embodiment of the present invention further provides an energy flow monitoring device for a ship's biofuel electric propulsion system. Figure 4 ,include:

[0093] A data preparation module 410 is configured to construct a first data set including historical data of biofuel input chemical energy and host machine output mechanical energy, a second data set including historical data of host machine output mechanical energy and generator electrical energy, and a third data set including historical data of generator electrical energy and motor drive energy;

[0094] The transfer factor determination module 420 is used to input the first data set, the second data set, and the third data set into the trained gradient boosting tree model respectively, and obtain the first transfer factor, the second transfer factor, and the third transfer factor accordingly;

[0095] The flow efficiency determination module 430 is configured to determine the flow efficiency during the energy flow process according to the first transfer factor, the second transfer factor, and the third transfer factor.

[0096] like Figure 5 As shown, based on the above-mentioned method for monitoring energy flow in a marine biofuel electric propulsion system, the present invention also provides an electronic device. The electronic device can be a computing device such as a mobile terminal, desktop computer, notebook, PDA, or server. The electronic device includes a processor 510, a memory 520, and a display 530. Figure 5 Only some of the components of the electronic device are shown, but it should be understood that it is not required to implement all of the shown components, and more or fewer components may be implemented instead.

[0097] In some embodiments, the memory 520 may be an internal storage unit of the electronic device, such as a hard drive or memory. In other embodiments, the memory 520 may also be an external storage device of the electronic device, such as a plug-in hard drive, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash memory card, etc. Furthermore, the memory 520 may include both an internal storage unit and an external storage device. The memory 520 is used to store application software installed in the electronic device and various data, such as program code installed in the electronic device. The memory 520 may also be used to temporarily store data that has been output or is about to be output. In one embodiment, the memory 520 stores a marine biofuel electric propulsion system energy flow monitoring program 540. The marine biofuel electric propulsion system energy flow monitoring program 540 can be executed by the processor 510, thereby implementing the marine biofuel electric propulsion system energy flow monitoring method of various embodiments of the present application.

[0098] In some embodiments, the processor 510 may be a central processing unit (CPU), a microprocessor, or other data processing chip, configured to execute program codes or process data stored in the memory 520, such as executing a method for monitoring energy flow of a marine biofuel electric propulsion system.

[0099] In some embodiments, display 530 can be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. Display 530 is used to display information from the electronic equipment used to monitor the energy flow of the ship's biofuel electric propulsion system and to display a visual user interface. Electronic equipment components 510-530 communicate with each other via a system bus.

[0100] Those skilled in the art will appreciate that all or part of the process steps of the above-described embodiments can be implemented by instructing related hardware through a computer program, and the program can be stored in a computer-readable storage medium, such as a magnetic disk, an optical disk, a read-only memory, or a random access memory.

[0101] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by any technician familiar with this technical field within the technical scope disclosed by the present invention should be covered by the scope of protection of the present invention.

Claims

1. A method for monitoring energy flow of a ship's biofuel electric propulsion system, characterized in that: include: Constructing a first data set comprising historical data of biofuel input chemical energy and host machine output mechanical energy, a second data set comprising historical data of host machine output mechanical energy and generator electrical energy, and a third data set comprising historical data of generator electrical energy and motor drive energy; Inputting the first data set, the second data set, and the third data set into the fully trained gradient boosting tree model respectively, and obtaining the first transfer factor, the second transfer factor, and the third transfer factor accordingly; The flow efficiency in the energy flow process is determined based on the first transfer factor, the second transfer factor, and the third transfer factor, including: Determining, based on the first transfer factor, a first loss work caused by the biofuel input chemical energy not being transferred to the main engine output mechanical energy; wherein the first loss work includes energy consumed by the ship's auxiliary engines, energy consumed by the ship's equipment, and lost energy; determining the conversion efficiency of the biofuel input chemical energy based on the relationship between the first lost work and the first lost energy threshold; and / or; determining, based on the second transfer factor, a second loss work of the main engine output mechanical energy that is not transferred to the generator electrical energy; determining the flow efficiency of the mechanical energy output by the host according to the magnitude relationship between the second lost work and the second lost energy threshold; and / or; determining, based on the third transfer factor, a third loss work resulting from the electrical energy of the generator not being transferred to the driving energy of the motor; The flow efficiency of the electric energy of the generator is determined according to the magnitude relationship between the third lost work and the third lost energy threshold.

2. The energy flow monitoring method of a ship biofuel electric propulsion system according to claim 1 is characterized in that: Before constructing the first data set including historical data of biofuel input chemical energy and host output mechanical energy, the method further includes obtaining the biofuel input chemical energy, including: Obtain ship speed, engine speed, hull surface resistance, and friction resistance of key kinematic pairs of the power system; The input chemical energy of biofuel is determined based on the impact of ship speed, engine speed, hull surface resistance and friction resistance of key moving parts of the power system on energy consumption.

3. The method for monitoring energy flow of a marine biofuel electric propulsion system according to claim 1, characterized in that: After determining the flow efficiency in the energy flow process according to the first transfer factor, the second transfer factor, and the third transfer factor, the method further includes: Using a pre-set expert evaluation method, the energy loss during the conversion of biofuel input chemical energy into motor drive energy is evaluated to obtain an evaluation result; And according to the evaluation results, determine the weight coefficient of energy loss; The maintenance priority among energy-consuming equipment in the ship's biofuel electric propulsion system is determined according to the weight coefficient.

4. The method for monitoring energy flow of a marine biofuel electric propulsion system according to claim 1, characterized in that: After determining the flow efficiency in the energy flow process, it also includes: Determine whether the circulation efficiency is within the preset range; If not, an alarm message is sent.

5. An energy flow monitoring device for a ship biofuel electric propulsion system, characterized in that: include: a data preparation module for constructing a first data set comprising historical data of biofuel input chemical energy and host machine output mechanical energy, a second data set comprising historical data of host machine output mechanical energy and generator electrical energy, and a third data set comprising historical data of generator electrical energy and motor drive energy; A transfer factor determination module is used to input the first data set, the second data set, and the third data set into the fully trained gradient boosting tree model, respectively, to obtain a first transfer factor, a second transfer factor, and a third transfer factor accordingly; The flow efficiency determination module is used to determine the flow efficiency in the energy flow process according to the first transfer factor, the second transfer factor, and the third transfer factor, including: Determining, based on the first transfer factor, a first loss work caused by the biofuel input chemical energy not being transferred to the main engine output mechanical energy; wherein the first loss work includes energy consumed by the ship's auxiliary engines, energy consumed by the ship's equipment, and lost energy; determining the conversion efficiency of the biofuel input chemical energy based on the relationship between the first lost work and the first lost energy threshold; and / or; determining, based on the second transfer factor, a second loss work of the main engine output mechanical energy that is not transferred to the generator electrical energy; determining the flow efficiency of the mechanical energy output by the host according to the magnitude relationship between the second lost work and the second lost energy threshold; and / or; determining, based on the third transfer factor, a third loss work resulting from the electrical energy of the generator not being transferred to the driving energy of the motor; The flow efficiency of the electric energy of the generator is determined according to the magnitude relationship between the third lost work and the third lost energy threshold.

6. An electronic device, characterized in that: include: processor and memory; The memory stores a computer-readable program executable by the processor; When the processor executes the computer-readable program, the steps of the method for monitoring energy flow of a ship biofuel electric propulsion system according to any one of claims 1 to 4 are implemented.

7. A computer-readable storage medium, characterized in that The computer-readable storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps in the energy flow monitoring method of a ship biofuel electric propulsion system according to any one of claims 1 to 4.

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