Binaural type C LNG fuel tank and methanol fuel adaptive switching control system

Abstract

The present application relates to the technical field of ship fuel supply system control, and discloses a dual-ear C-shaped LNG fuel tank and methanol fuel adaptive switching control system, which comprises a fuel state sensing module, a switching logic decision module, an actuator control module, a safety redundancy guarantee module and a state feedback recording module. The fuel state sensing module collects fuel parameters and actuator operating state data and normalizes them; the switching logic decision module builds a model to simulate switching dynamic characteristics and actuator response characteristics and performs parameter adaptation; the actuator control module builds an algorithm to calculate switching pressure threshold values, flow matching values and valve group action time sequences; the safety redundancy guarantee module evaluates switching safety; and the state feedback recording module performs secondary evaluation in combination with environmental conditions when there is a risk. The system realizes adaptive switching of LNG and methanol fuel, and improves switching accuracy, system stability and safety.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of ship fuel supply system control, in particular to a dual-ear C-shaped LNG fuel tank and methanol fuel adaptive switching control system. BACKGROUND

[0002] Traditional fuel switching systems mostly use single parameter threshold control, which is difficult to adapt to the dynamic adaptation needs of LNG and methanol fuel under changes in physical properties (such as density, viscosity, latent heat of phase change) and operating conditions (low-speed cruising, high-speed sailing, emergency shutdown). For example, during the switching process, due to the lack of multi-parameter fusion analysis of fuel tank pressure field, flow field and temperature field, fuel supply fluctuations caused by pressure imbalance often occur, and even equipment failure or safety hazards are caused. At the same time, the existing system lacks sufficient modeling of the matching between fuel tank structure parameters and fuel characteristics, and cannot accurately simulate the switching response under different conditions, resulting in unreasonable switching timing control and affecting the stability of the ship power system.

[0003] In addition, the safety redundancy design of the traditional system is relatively single, relying only on a single safety index to evaluate the switching process, lacking a comprehensive risk assessment mechanism for environmental conditions (such as temperature, load) and actuator state. When faced with complex conditions, it is difficult to identify potential risks in real time and trigger effective redundancy protection, which may lead to switching failure or system shutdown. At the same time, the lack of data preprocessing and state feedback mechanism makes the system unable to perform real-time filtering and feature extraction on fuel parameters (such as tank pressure, liquid level, solution concentration), resulting in a decrease in the accuracy of switching decisions and further affecting the efficiency and safety of fuel switching.

[0004] In terms of dual-fuel tank cooperative control, the existing technology fails to achieve dynamic adaptation of LNG fuel tanks and methanol fuel tanks, especially under the special structure of dual-ear C-shaped LNG fuel tanks, there is a technical gap in the cooperative control of gas phase space pressure matching and liquid phase flow regulation, resulting in large energy loss during fuel switching and low system energy efficiency. In addition, the synchronization control precision of the valve group actuator is insufficient, which cannot meet the timing requirements of dual-fuel rapid switching, limiting the power response speed of the ship under different sailing states. SUMMARY

[0005] The purpose of the present application is to provide a dual-ear C-shaped LNG fuel tank and methanol fuel adaptive switching control system to solve the problems raised in the background.

[0006] To achieve the above purpose, the present application provides the following technical solution: a dual-ear C-shaped LNG fuel tank and methanol fuel adaptive switching control system, the system comprising a fuel state perception module, a switching logic decision module, an actuator control module, a safety redundancy guarantee module and a state feedback recording module.

[0007] The fuel state sensing module is used to monitor nodes of tank body and pipeline of the dual-ear C-shaped LNG fuel tank and methanol fuel tank, and deploy sensing devices to collect LNG fuel parameters, methanol fuel parameters and operating state data of switching execution mechanism in real time, and to preliminarily regularize the collected data;

[0008] The switching logic decision module is used to build a fuel characteristic matching model, simulate dynamic characteristics of fuel switching using a multi-parameter fusion technology, simulate response characteristics of the switching execution mechanism using a threshold discrimination technology, and perform parameter adaptation on the dual-ear C-shaped LNG fuel tank, the methanol fuel tank and the switching execution mechanism according to the real-time collected fuel parameters and mechanism operating state data;

[0009] The execution mechanism control module is used to build pressure balance control algorithm, flow matching control algorithm and valve group synchronization control algorithm for the collected LNG fuel parameters, methanol fuel parameters and mechanism operating state data, and to transmit the real-time collected fuel parameters and mechanism operating state data to the built control algorithm to calculate switching pressure threshold value, flow matching value and valve group action timing;

[0010] The safety redundancy guarantee module is used to perform standardized processing on the obtained switching pressure threshold value, flow matching value and valve group action timing, perform correlation calculation to obtain a first safety value, and preset a first safety reference value to preliminarily compare and evaluate the safety of the fuel switching process;

[0011] The state feedback recording module is used to further calculate a second safety value in combination with environmental working condition factors when it is analyzed that the fuel switching process has safety risks, and preset a second safety reference value to perform secondary comparison and evaluation with the second safety value to further analyze the adaptation performance of the dual-ear C-shaped LNG fuel tank and the methanol fuel tank under different working condition parameters and switching execution states.

[0012] Preferably, the fuel state sensing module includes an LNG parameter acquisition unit, a methanol parameter acquisition unit and a data preprocessing unit;

[0013] The LNG parameter acquisition unit includes a pressure acquisition unit and a liquid level acquisition unit, which are used to deploy a fuel sensor group in the gas phase space and the liquid phase area of the dual-ear C-shaped LNG fuel tank to monitor and collect LNG fuel parameters in real time, and transmit the collected data to the data preprocessing unit through CAN bus transmission, the fuel sensor group includes a pressure sensor group and a liquid level sensor group, and the LNG fuel parameters include tank pressure value and fuel liquid level value;

[0014] The pressure acquisition unit is used for monitoring the pressure value in the binaural C-shaped LNG fuel tank in real time according to a pressure sensor group, wherein the pressure sensor group comprises a pressure probe, a signal amplifier and a data acquisition card, and is used for collecting the absolute value, fluctuation frequency and sampling period of the pressure data respectively;

[0015] The liquid level acquisition unit is used for collecting the liquid level value of the LNG fuel in real time according to a liquid level sensor group, wherein the liquid level sensor group comprises a float type liquid level meter, a capacitive type liquid level meter and a signal converter, and the LNG fuel parameters comprise the liquid level height, measurement accuracy and temperature compensation value;

[0016] The methanol parameter acquisition unit is used for connecting the communication protocol with the monitoring system of the methanol fuel tank, reading the storage parameters of the methanol fuel in the monitoring system in real time, and extracting the solution concentration, temperature value and corrosion index in the storage parameters of the methanol fuel in real time to obtain the running state data of the methanol fuel tank.

[0017] Preferably, the data preprocessing unit is used for filtering out the interference signals and abnormal values of the collected LNG fuel parameters, methanol fuel parameters and mechanism running state data, unifying the data formats from different protocols, and performing feature screening on the collected fuel parameters and mechanism running state data through time series interpolation to obtain the effective pressure value, effective liquid level value and effective concentration value at the switching moment.

[0018] Preferably, the switching logic decision module comprises a characteristic matching modeling unit, a switching condition judgment unit and a strategy optimization integration unit.

[0019] The characteristic matching modeling unit comprises a dual fuel model construction unit and a dynamic characteristic simulation unit.

[0020] The dual fuel model construction unit extracts the structural parameters of the binaural C-shaped LNG fuel tank and the material characteristics of the methanol fuel tank from a ship design database, uses simulation software to establish a parameter matching model of the dual fuel tank, simulates the volume ratio, pipeline diameter and heat exchange characteristics of the tank body, and adds typical working condition characteristics to the fuel switching process, including low-speed cruising, high-speed sailing and emergency shutdown. After the preliminary modeling is completed, a verification tool is used to define the density, viscosity and latent heat of phase change physical properties of the fuel, set the starting pressure, response time and stroke range of the switching execution mechanism, and perform steady-state simulation, transient simulation and continuous switching simulation to simulate the switching response of the binaural C-shaped LNG fuel tank and the methanol fuel.

[0021] The dynamic characteristic simulation unit is used for inputting the operation parameters of the ship, including the sailing speed, load and environmental temperature, and performing multi-parameter fusion analysis after inputting, so as to simulate the pressure field, flow field and temperature field of the switching characteristic of the dual-fuel system under different working conditions;

[0022] The switching condition discrimination unit is used for establishing a response model of the switching execution mechanism, including the valve group opening pressure, pipeline resistance and sealing performance, simulating the critical condition of fuel switching by applying a threshold discrimination equation, analyzing the action result of the switching execution mechanism by the threshold discrimination technology, and evaluating the pressure fluctuation, flow deviation and time delay of the switching process.

[0023] The strategy optimization integrated unit is used for importing the dual-fuel tank model into the switching execution mechanism response model to obtain a joint decision model, transmitting the real-time collected fuel parameters and mechanism operation state data to the multi-parameter fusion analysis and threshold discrimination analysis for dynamic simulation, importing the dynamic simulation result into the joint decision model to update the adaptation state of the dual-fuel tank and the switching execution mechanism in real time, and displaying the simulation parameters through the man-machine interaction interface and providing the strategy adjustment function.

[0024] Preferably, the execution mechanism control module includes a pressure balance control unit, a flow matching control unit and a valve group synchronization control unit.

[0025] The pressure balance control unit is used for constructing a pressure balance control algorithm, calculating the pressure balance threshold of the dual-ear C-shaped LNG fuel tank and the methanol fuel tank in the switching process according to the preprocessed fuel parameters, and extracting the pressure matching condition of the dual-fuel tank.

[0026] The flow matching control unit is used for constructing a flow matching control algorithm, calculating the flow matching value according to the preprocessed fuel parameters, and extracting the flow variation characteristics of the dual-fuel pipeline.

[0027] The valve group synchronization control unit is used for constructing a valve group synchronization control algorithm, calculating the valve group action timing according to the preprocessed mechanism operation state data, and extracting the synchronization action degree of the switching execution mechanism.

[0028] Preferably, the pressure balance control unit is used for calculating the pressure balance threshold by analyzing the real-time data of the pressure sensors of the dual-ear C-shaped LNG fuel tank and the methanol fuel tank, combining the preprocessed temperature compensation value, and extracting the pressure matching interface position of the gas phase space of the dual-fuel tank.

[0029] Preferably, the flow matching control unit is used for calculating the flow matching value by comparing the real-time flow data of the dual-fuel pipeline, combining the preprocessed pipeline diameter parameters, and extracting the flow variation rate in the horizontal direction of the dual-fuel system.

[0030] Preferably, the safety redundancy guarantee module comprises a multi-index fusion unit and a preliminary risk discrimination unit.

[0031] The multi-index fusion unit is configured to obtain a first safety value by correlatively calculating the obtained switching pressure threshold, flow matching value and valve group action timing after standardization processing, and comprehensively analyze the safety of the fuel switching process.

[0032] The preliminary risk discrimination unit is configured to preset a first safety reference value according to the industry specifications and historical cases of dual fuel switching, and preliminarily compare and evaluate the first safety value obtained, to evaluate the safety of the fuel switching process. The specific evaluation scheme is as follows: when the first safety value is greater than the first safety reference value, it indicates that the fuel switching process is safe and reliable under the current working condition, and the switching process can continue to be executed; when the first safety value is less than or equal to the first safety reference value, it indicates that the fuel switching process is at risk under the current working condition, and the redundancy mechanism and further safety verification operation need to be triggered.

[0033] Preferably, the state feedback recording module comprises a safety index calculation unit and a level recording unit.

[0034] The safety index calculation unit is configured to further analyze the safety of the dual-ear C-shaped LNG fuel tank and methanol fuel under different working condition parameters and switching execution states in combination with the obtained first safety value, and obtain a second safety value by correlatively calculating.

[0035] The level recording unit is configured to preset a second safety reference value and the obtained second safety value, to perform secondary comparison and evaluation, to further analyze the safety of the fuel switching process after the influence of multiple environmental conditions, and to generate a corresponding feedback level. The specific evaluation scheme is as follows: when the second safety value is greater than the second safety reference value, it indicates that the fuel switching process is still safe under the condition of the comprehensive environmental condition, and a three-level feedback record is generated to prompt the monitoring personnel to continuously observe the switching process; when the second safety value is equal to the second safety reference value, it indicates that the fuel switching process is at potential risk under the condition of the comprehensive environmental condition, and a two-level feedback record is generated to prompt the operation and maintenance personnel to immediately detect the switching system in detail; when the second safety value is less than the second safety reference value, it indicates that the fuel switching process is significantly dangerous under the condition of the comprehensive environmental condition, and a one-level feedback record is generated to automatically trigger the redundancy switching mechanism, switch to the backup execution mechanism, and notify the technical department to start the emergency handling plan.

[0036] Preferably, the safety redundancy guarantee module further comprises a backup execution mechanism switching subunit.

[0037] The standby actuator switching subunit is used to automatically switch to a preconfigured standby valve group actuator to maintain the continuity of fuel supply when the preliminary comparative evaluation determines that the switching process is risky.

[0038] Compared with the prior art, the present application has the following advantages:

[0039] The dual-ear C-shaped LNG fuel tank and methanol fuel adaptive switching control system provided by the present application realizes intelligent and safe control of the fuel switching process through the cooperative work of multiple modules. The fuel state perception module deploys multiple types of sensors in the tank body and pipelines to collect LNG and methanol fuel parameters and actuator state data in real time, and filters out interference signals through preprocessing to ensure the accuracy and consistency of the data, providing a reliable basis for subsequent control. The dual-fuel characteristic matching model and dynamic simulation technology built by the switching logic decision module can simulate the changes of pressure field, flow field and temperature field under different working conditions by combining with the ship operation parameters (speed, load, environmental temperature), accurately evaluate the switching critical condition through multi-parameter fusion and threshold discrimination technology, realize the dynamic optimization of fuel switching strategy, and improve the adaptability of the system to complex working conditions.

[0040] The actuator control module accurately calculates the switching pressure threshold, flow matching value and valve group action timing through pressure balancing, flow matching and valve group synchronization control algorithms, effectively solves the problems of pressure imbalance and large flow fluctuation in traditional systems, ensures stable pressure matching and flow connection of the dual-fuel tank during the switching process, and improves the continuity of fuel supply and the stability of the power system. The safety redundancy guarantee module calculates the first safety value through multi-index fusion, and compares it with the preset reference value to realize the preliminary risk assessment of the switching process. When it is determined that there is a risk, the standby actuator switching is automatically triggered to maintain the continuity of fuel supply and reduce the risk of system failure.

[0041] The state feedback recording module further calculates the second safety value in combination with the environmental conditions, generates feedback records of different levels through two-level comparative evaluation, and realizes fine safety management of the switching process. This mechanism not only can monitor potential risks in real time, but also can provide data support for system maintenance, improving the reliability and maintainability of the overall system. In addition, the system builds a joint decision model by integrating the dual-fuel tank model and the actuator response model to realize real-time interaction and adaptive state update of fuel parameters and mechanism state, providing accurate simulation parameters and strategy adjustment functions for the human-machine interface, and enhancing the operability and intelligence level of the system. BRIEF DESCRIPTION OF DRAWINGS

[0042] Figure 1 The working principle diagram of the dual-ear C-shaped LNG fuel tank and methanol fuel adaptive switching control system described in the present application;

[0043] Figure 2 Flow chart for fuel state sensing module;

[0044] Figure 3 Flow chart for safety redundancy assurance module;

[0045] Figure 4 Flow chart for state feedback recording module. DETAILED DESCRIPTION

[0046] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of protection of the present application.

[0047] Please refer to Figures 1-4 The present application relates to a dual-ear type C LNG fuel tank and a methanol fuel adaptive switching control system, which comprises a fuel state sensing module, a switching logic decision module, an actuator control module, a safety redundancy assurance module and a state feedback recording module. The specific implementation steps are as follows:

[0048] The fuel state sensing module sets monitoring nodes and deploys sensing devices on the tank body and pipeline of the dual-ear C-shaped LNG fuel tank and the methanol fuel tank, collects LNG fuel parameters, methanol fuel parameters and operating state data of the switching execution mechanism in real time, and then performs preliminary regularization on the collected data. The switching logic decision module constructs a fuel characteristic matching model, simulates the dynamic characteristics of fuel switching by using multi-parameter fusion technology, simultaneously simulates the response characteristics of the switching execution mechanism by using threshold discrimination technology, and then performs parameter adaptation on the dual-ear C-shaped LNG fuel tank, the methanol fuel tank and the switching execution mechanism according to the real-time collected fuel parameters and mechanism operating state data. The execution mechanism control module constructs pressure balance control algorithm, flow matching control algorithm and valve group synchronization control algorithm by using the collected LNG fuel parameters, methanol fuel parameters and mechanism operating state data, transmits the real-time collected fuel parameters and mechanism operating state data to the constructed control algorithm, and calculates switching pressure threshold value, flow matching value and valve group action time sequence. The safety redundancy guarantee module performs standardized processing on the obtained switching pressure threshold value, flow matching value and valve group action time sequence, obtains a first safety value through associated calculation, presets a first safety reference value, and performs preliminary comparative evaluation on the first safety value, to analyze the safety of the fuel switching process. When it is analyzed that there is a safety risk in the fuel switching process, the state feedback recording module calculates a second safety value in combination with environmental working condition factors, presets a second safety reference value, performs secondary comparative evaluation on the second safety value, and further analyzes the adaptation performance of the dual-ear C-shaped LNG fuel tank and the methanol fuel tank under different working condition parameters and switching execution states.

[0049] Embodiment 1: The fuel state sensing module includes an LNG parameter acquisition unit, a methanol parameter acquisition unit and a data preprocessing unit, which work cooperatively to comprehensively sense the fuel state and preliminarily process the data.

[0050] In the LNG parameter acquisition unit, the deployment and working process of the pressure acquisition unit are as follows: in the gas phase space of the dual-ear C-shaped LNG fuel tank, a fuel sensor group is deployed according to specific installation specifications and monitoring requirements. The pressure sensor group in the sensor group is composed of a pressure probe, a signal amplifier and a data acquisition card. The pressure probe adopts a high-precision type conforming to the industrial standard, which can sense the pressure change of the gas phase space in the tank in real time and accurately collect the absolute value of the pressure data. The signal amplifier is connected with the pressure probe, which amplifies the weak electric signal output by the pressure probe to ensure that the signal has sufficient strength and stability during transmission, avoiding data distortion caused by signal attenuation. The data acquisition card is responsible for collecting the amplified pressure signal according to the set sampling period, and records the frequency of pressure fluctuation, providing detailed time sequence data for subsequent pressure analysis.

[0051] The liquid level acquisition unit is deployed in the liquid phase area of the LNG fuel tank, and also follows strict installation standards. The liquid level sensor group of the unit includes a float type liquid level meter, a capacitive liquid level meter, and a signal converter. The float type liquid level meter reflects the liquid level height in real time through the mechanical displacement of the float with the rise and fall of the liquid level, has a simple structure and high reliability, and can work stably in the LNG low-temperature environment. The capacitive liquid level meter accurately measures the liquid level by using the principle that the change of the liquid level causes the change of the capacitance value, and has the characteristics of high measurement accuracy and fast response speed. The signal converter converts the physical signals output by the float type liquid level meter and the capacitive liquid level meter into standard electrical signals, so as to facilitate subsequent transmission and processing. The LNG fuel parameters collected by the liquid level acquisition unit include the liquid level height, the measurement accuracy, and the temperature compensation value. Among them, the temperature compensation value is to eliminate the influence of environmental temperature change on the measurement accuracy of the liquid level, by monitoring the fuel temperature in real time and compensating and calculating according to the corresponding relationship between the temperature and the liquid level measurement value, to ensure the accuracy of the liquid level data. The data collected by the pressure acquisition unit and the liquid level acquisition unit is transmitted to the data preprocessing unit through the CAN bus transmission mode, with stable transmission rate and anti-interference ability.

[0052] The working mode of the methanol parameter acquisition unit is to construct a special communication protocol that matches the interface standard of the monitoring system of the methanol fuel tank, and to realize stable connection with the monitoring system through hardware connection and software protocol docking. After the connection is established, the methanol parameter acquisition unit reads the storage parameters of the methanol fuel in the monitoring system in real time according to the preset frequency. For the solution concentration, temperature value and corrosion index in the storage parameters, specific data extraction algorithms are used for real-time extraction. The extraction of the solution concentration needs to consider the possible component change of the methanol solution, and is determined by analyzing the relevant chemical parameters and measurement data in the monitoring system; the temperature value is directly obtained from the temperature sensor measurement data in the monitoring system; the extraction of the corrosion index is more complex, and needs to consider factors such as the chemical composition of the methanol fuel and the storage environment, and is calculated through the relevant evaluation model and data in the monitoring system. After the extraction is completed, these parameters are summarized to form complete operation state data of the methanol fuel tank.

[0053] The data preprocessing unit performs a series of processing on the fuel parameters from the LNG parameter acquisition unit and the methanol parameter acquisition unit, as well as the operating state data of the switching actuator. First, a digital filtering algorithm is used to filter out interference signals and abnormal values. Interference signals may come from electromagnetic interference, mechanical vibration and other factors during ship operation, and abnormal values may be caused by sensor failure, data transmission error and other reasons. Through the filtering algorithm, these noise data can be effectively removed, improving the quality of the data. Next, since data from different sources may use different protocols and formats, the data preprocessing unit needs to uniformly convert these data formats to meet the system's internal data processing standards for subsequent analysis and calculation. For example, voltage signals and current signals output by different sensors are converted into a unified digital format. Then, the collected fuel parameters and actuator operating state data are screened for features using time series interpolation. Time series interpolation is used to compensate for uneven time intervals or missing data during data collection. Through interpolation algorithms, data is supplemented and smoothed to ensure continuity on the time axis. During feature screening, key feature data such as pressure, liquid level and concentration at the switching time are extracted based on the key time points and state changes of fuel switching. These data accurately reflect the fuel state and actuator operating state at the switching time.

[0054] In embodiment 2, the switching logic decision module is composed of a characteristic matching modeling unit, a switching condition discrimination unit and a strategy optimization integration unit. Each unit implements decision-making and optimization of fuel switching logic through specific processes and technical means.

[0055] The dual-fuel model construction unit in the characteristic matching modeling unit needs to extract the structural parameters of the dual-ear C-type LNG fuel tank from the ship design database, such as the geometric dimensions, volume, specific parameters of the dual-ear structure, and the material properties of the methanol fuel tank, including the strength, corrosion resistance, and thermal conductivity of the material. After extracting these data, professional simulation software is used to establish a parameter matching model of the dual-fuel tank based on the design standards and physical model of the ship fuel tank. During modeling, the volume ratio of the tank body needs to be accurately simulated to ensure that the volume relationship between the LNG fuel tank and the methanol fuel tank in the model is consistent with the actual ship. At the same time, the pipe diameter, length, and bending degree of each section of the pipeline are simulated to accurately reflect the flow characteristics of the fuel in the pipeline. The heat exchange characteristics are also simulated, considering the heat transfer process between the fuel and the tank, the environment, and the phase change heat effect of the fuel itself.

[0056] To make the model closer to the actual operation, the typical working condition characteristics need to be added to the fuel switching process. Under low-speed cruising conditions, the ship's power demand is small, the fuel consumption rate is low, and the switching process may be relatively smooth; under high-speed sailing conditions, the power demand is large, and the fuel switching needs to respond quickly to ensure power supply; the emergency shutdown condition is a special case, and the switching process needs to meet the safety shutdown requirements. After the preliminary modeling is completed, the verification tool is used to further process the constructed parameter matching model. Specifically, the physical properties of fuel such as density, viscosity, and latent heat of phase change are defined, and these property parameters need to be accurately set according to the actual physical properties of LNG and methanol. At the same time, the starting pressure, response time, and stroke range of the switching actuator are set, which are based on the actual performance parameters and design requirements of the actuator. After completing the above settings, the model is simulated for steady state, transient state, and continuous switching. Steady-state simulation is used to analyze the switching response of the system in a stable operating state; transient-state simulation focuses on the dynamic change process during switching; continuous switching simulation can evaluate the stability and reliability of the system during multiple switching processes, and through these simulations, the switching response characteristics of the dual-ear C-type LNG fuel tank and methanol fuel can be fully understood.

[0057] The workflow of the dynamic characteristic simulation unit is as follows: First, input the ship's operating parameters, including speed, load, and ambient temperature. Speed directly affects the ship's power demand and fuel consumption rate; changes in load will cause changes in engine power demand, which in turn affects the timing and requirements of fuel switching; ambient temperature will affect the physical state of the fuel and the operating characteristics of the pipeline. After inputting these parameters, through multi-parameter fusion analysis technology, the mutual relationship and influence between parameters are considered comprehensively to simulate the pressure field, flow field, and temperature field of the dual-fuel system under different working conditions. The simulation of the pressure field needs to consider the pressure distribution and changes at each position during the switching process to ensure that the pressure fluctuation is within a reasonable range; the flow field simulation needs to accurately reflect the flow rate and distribution of fuel in the pipeline to ensure the continuity of fuel supply; the temperature field simulation focuses on the temperature changes of fuel and the tank during the switching process to avoid temperature abnormalities affecting system operation.

[0058] The switching condition judgment unit first establishes a response model of the switching actuator, which covers key factors such as valve group opening pressure, pipeline resistance, and sealing performance. The valve group opening pressure needs to be set according to the working pressure range of the fuel system and the switching requirements; the calculation of pipeline resistance needs to consider factors such as the length, diameter, and curvature of the pipeline, as well as the viscosity of the fuel; the sealing performance is related to the safety and reliability of the system, and needs to ensure that there is no leakage during the switching process. After the model is established, the threshold judgment equation is used to simulate the critical condition of fuel switching. The establishment of the threshold judgment equation is based on the safety standards and technical requirements of fuel switching, and by setting reasonable parameters such as pressure threshold and flow threshold, it can determine whether the switching meets the conditions. Through the threshold judgment technology, the action results of the switching actuator are analyzed, and whether the pressure fluctuation in the switching process is within the allowable range, whether the flow deviation will affect the power supply, and whether the time delay meets the system response requirements are evaluated.

[0059] The strategy optimization integration unit imports the dual fuel tank model into the switching actuator response model for integration, forming a joint decision model. This integration process needs to ensure smooth data interaction between the two models, and can accurately reflect the interaction relationship between the dual fuel tank and the actuator. Then the real-time collected fuel parameters and actuator operating state data are transmitted to the multi-parameter fusion analysis and threshold discrimination analysis module for dynamic simulation. The multi-parameter fusion analysis module comprehensively processes various real-time data, considering the correlation and influence between parameters; the threshold discrimination analysis module judges whether the current switching conditions are met according to real-time data. The dynamic simulation results are imported into the joint decision model to update the adaptation state of the dual fuel tank and the switching actuator in real time. At the same time, the simulation parameters such as pressure, flow, temperature, and real-time data and simulation results are displayed through the human-computer interaction interface, which helps the operator intuitively understand the system operating state, and provides a strategy adjustment function. The operator can manually optimize and adjust the switching strategy according to the actual situation to adapt to different operating conditions and requirements.

[0060] Example 3: The actuator control module is composed of a pressure balance control unit, a flow matching control unit, and a valve group synchronization control unit. Each unit realizes precise control of the fuel switching actuator through specific control logic and processing flow.

[0061] The core work of the pressure balance control unit is to build a pressure balance control algorithm, which is designed based on the physical principles of pressure balance during fuel switching and the requirements for safe operation of the system. In specific implementation, first, the pre-processed fuel parameters are obtained, including the LNG fuel tank pressure data, methanol fuel tank pressure data and related temperature compensation values processed from the fuel state perception module. By calculating these parameters, the pressure balance threshold of the dual-ear C-shaped LNG fuel tank and the methanol fuel tank during switching can be obtained. The determination of the pressure balance threshold needs to consider the structural characteristics of the two fuel tanks, the physical properties of the fuel and the working condition requirements of the ship during operation, to ensure that the pressure difference between the two fuel tanks is within a safe range during switching, avoiding fuel leakage, equipment damage and other problems caused by pressure imbalance.

[0062] While calculating the pressure balance threshold, the pressure balance control unit also needs to extract the pressure matching situation of the dual fuel tank. This process is achieved by analyzing the real-time data of the pressure sensors of the dual-ear C-shaped LNG fuel tank and the methanol fuel tank. The pressure sensors are arranged at key positions of the two fuel tanks, which can monitor the pressure change in the tank in real time. Combined with the pre-processed temperature compensation value, the pressure data is corrected to eliminate the influence of temperature change on pressure measurement, so as to more accurately obtain the pressure balance threshold. The temperature compensation value is obtained based on the real-time monitoring of the temperature sensor on the fuel and the environment temperature, and the pre-established temperature-pressure correction model. By accurately calculating the pressure balance threshold, the pressure balance control unit can determine the position of the pressure matching interface of the dual fuel tank gas phase space, which is crucial to ensure the smoothness and safety of the fuel switching process, and can guide the action of the actuator to gradually balance the pressure of the two fuel tanks.

[0063] The main task of the flow matching control unit is to build a flow matching control algorithm, which aims to ensure smooth transition of the flow of dual fuel pipeline during fuel switching, and avoid affecting the normal operation of the ship power system due to flow mutation. In the implementation process, the pre-processed fuel parameters are also calculated. The pre-processed fuel parameters include real-time flow data of the dual fuel pipeline, pipeline diameter parameters, viscosity of the fuel, etc. By comparing the real-time flow data of the dual fuel pipeline, the current flow distribution of LNG and methanol fuel can be understood. The pipeline diameter parameter directly affects the flow resistance and flow size of the fuel, which needs to be accurately considered in the calculation process.

[0064] Specifically, the flow matching control unit calculates the flow matching value by a specific calculation method, combining real-time flow data and pipeline diameter parameters. The determination of the flow matching value needs to consider the fuel demand of the ship engine under different working conditions and the characteristic differences of the two fuels. For example, during the switching process, the flow of LNG and methanol needs to be adjusted gradually to make the total flow meet the power demand of the engine, while avoiding excessive flow fluctuations. In the process of calculating the flow matching value, the horizontal flow rate of change of the dual-fuel system also needs to be extracted. The extraction of the flow rate of change can reflect the speed of flow adjustment, and by controlling the rate, the flow switching process can be made more stable. If the flow rate of change is too fast, it may cause engine power fluctuations and affect the sailing performance of the ship; if it is too slow, it may cause the switching time to be too long, affecting the response speed of the system.

[0065] The working focus of the valve group synchronization control unit is to build a valve group synchronization control algorithm, which is used to control the action timing of each valve group in the switching actuator, to ensure the coordinated action between valve groups and improve the reliability and stability of fuel switching. In implementation, the pre-processed actuator operating state data is calculated. The pre-processed actuator operating state data includes the current position of the valve group, the action time, the working state of the driving device, etc. Through the analysis and processing of these data, the valve group synchronization control unit can calculate the valve group action timing.

[0066] The determination of the valve group action timing needs to consider multiple factors, such as the opening and closing sequence of the valve group, the action time interval, the action speed, etc. Different valve groups have different functions in the fuel switching process, such as some responsible for cutting off LNG fuel supply and some responsible for connecting methanol fuel supply, so their action timing must be accurately coordinated, otherwise it may cause fuel mixing, supply interruption, etc. In the process of calculating the valve group action timing, the synchronization action degree of the switching actuator also needs to be extracted. The extraction of the synchronization action degree can be realized by comparing the deviation of the actual action time of each valve group from the preset action time. The smaller the deviation, the higher the synchronization action degree. By real-time monitoring and adjusting the synchronization action degree, it can ensure that each valve group acts according to the predetermined timing, realizing the smooth switching of fuel.

[0067] In the working process of the entire actuator control module, the pressure balance control unit, the flow matching control unit and the valve group synchronization control unit do not work independently, but are interrelated and synergistic. The control of pressure balance will affect the change of flow, the matching of flow needs the accurate action of valve group to realize, and the synchronous action of valve group is the basis to ensure the pressure balance and flow matching.

[0068] Embodiment 4: The safety redundancy assurance module includes a multi-index fusion unit, a preliminary risk judgment unit, and a backup actuator switching subunit. Each unit ensures the safety and continuity of the fuel switching process through data processing, logical judgment, and hardware switching mechanism.

[0069] The workflow of the multi-index fusion unit needs to obtain the switching pressure threshold, flow matching value, and valve group action timing output by the actuator control module. Taking the fuel switching of a certain type of ship at low speed cruising in port as an example, assuming that the switching pressure threshold calculated by the actuator control module at this time is 0.8 MPa, the flow matching value is 450 L / min, and the valve group action timing is set to "first open the methanol fuel inlet valve, delay 5 seconds and close the LNG fuel outlet valve". The multi-index fusion unit needs to standardize these parameters, convert different dimension parameters (such as pressure, flow, time) into unified dimensionless values, so as to facilitate subsequent correlation calculation. Standardization processing can use the industry's common normalization method, for example, compare the pressure threshold with the system maximum working pressure (1.0 MPa) to get the standardized pressure value 0.8; compare the flow matching value with the engine rated flow (500 L / min) to get the standardized flow value 0.9; the valve group action timing is converted to the standardized time value (5 seconds in the interval, standardized to 0.5) according to the preset safety time window (such as the allowed delay time is 3-8 seconds).

[0070] After completing the standardization processing, the multi-index fusion unit needs to establish a correlation calculation model. This model needs to consider the weight of each index, for example, the importance of pressure balance accounts for 40%, flow matching accounts for 35%, and valve group timing accounts for 25%. Calculate the first safety value by weighted summation, that is: 0.8x40%+0.9x35%+0.5x25%=0.76. In this process, the setting of the weight needs to be based on the industry specifications and ship design standards of dual fuel switching, to ensure that the calculation result can accurately reflect the safety of the switching process. Through comprehensive analysis of multi-dimensional data, the multi-index fusion unit avoids the risk of single index misjudgment, and provides comprehensive quantitative basis for subsequent safety evaluation.

[0071] The preliminary risk discrimination unit needs to preset the first safety benchmark value according to the industry standards and historical cases of dual fuel switching. For example, referring to the safety standards of dual fuel ships of the International Maritime Organization (IMO), the first safety benchmark value is set to 0.7. When the first safety value (0.76) calculated by the multi-index fusion unit is greater than the first safety benchmark value (0.7), it indicates that the fuel switching process is safe and reliable under the current working condition, and the system continues to execute the switching process, that is, the methanol inlet valve is opened and the LNG outlet valve is closed according to the pre-set valve group action time sequence. If the first safety value is less than or equal to the first safety benchmark value (such as the calculation result is 0.65), it indicates that there is a risk in the switching process, and the redundant mechanism and further safety verification operation need to be triggered.

[0072] For another scenario, when the ship is sailing at high speed in severe sea conditions, assume that the switching pressure threshold value calculated by the actuator control module is 0.9 MPa (close to the system maximum pressure 1.0 MPa), the flow matching value is 520 L / min (exceeding the engine rated flow 500 L / min), and the valve group action time sequence is delayed to 10 seconds (exceeding the upper limit of the safety time window 8 seconds) due to pipeline pressure fluctuation. After standardization processing, the pressure value is 0.9, the flow value is 1.04 (exceeding 1.0 is calculated as 1.0), the time value is (10-3) / (8-3)=1.4 (exceeding 1.0 is calculated as 1.0), and the weighted calculation of the first safety value is 0.9x40%+1.0x35%+1.0x25%=0.91. If the first safety benchmark value is still 0.7 at this time, the system determines that it is safe and continues to switch; but if the methanol fuel tank corrosion index is abnormal due to severe working conditions, after being collected by the fuel state perception module, it may affect the calculation logic of the flow matching value, at this time, the secondary evaluation of the state feedback record module is needed, but the preliminary risk discrimination unit only makes the first judgment based on the current actuator parameters.

[0073] The standby actuator switching sub-unit is automatically started when the preliminary risk discrimination unit determines that there is a risk in the switching process (such as the first safety value ≤0.7). For example, when a valve group has a decreased sealing performance due to long-term use, causing the pressure fluctuation during switching to exceed the threshold value, the first safety value is calculated as 0.68, at which time the standby actuator switching sub-unit activates the pre-configured standby valve group actuator. The standby valve group is designed to be redundant with the main valve group, and its pipeline connection, driving method and control interface are consistent with those of the main valve group, ensuring that the fuel supply is not interrupted during the switching process. During the switching process, the system first opens the bypass pipeline of the standby valve group to maintain stable fuel flow, and then gradually closes the main valve group to complete the switching of the actuator. This process is automatically completed by the control system without human intervention, and the switching time is controlled within 10 seconds to ensure the continuity of the ship power system.

[0074] After the standby actuator switches, the system will automatically record the failure state of the main valve group and the switching time, and transmit the relevant data to the state feedback recording module.

[0075] In embodiment 5, the state feedback recording module is composed of a safety index calculation unit and a level recording unit. Through a multi-level safety evaluation and feedback mechanism, the safety of the fuel switching process in various environmental conditions is analyzed and recorded.

[0076] The safety index calculation unit needs to combine the first safety value output by the multi-index fusion unit and introduce environmental condition factors for in-depth analysis. Taking the fuel switching of a container ship sailing in the tropical sea as an example, assuming that the first safety value calculated by the multi-index fusion unit is 0.72 (greater than the first safety benchmark value 0.7), the safety is preliminarily determined. However, at this time, the environmental temperature is 35°C, the sea water temperature is 28°C, and the ship is in high-speed sailing condition (speed 25 knots), the safety index calculation unit needs to re-evaluate comprehensively these parameters.

[0077] Firstly, the increase of environmental temperature will lead to the increase of evaporation rate of LNG fuel tank, and the fluctuation range of tank pressure may increase. The safety index calculation unit needs to retrieve the real-time pressure data of LNG tank collected by the fuel state perception module (such as current pressure 0.85 MPa, fluctuation range 0.8-0.9 MPa), and analyze the influence coefficient of temperature on pressure (for example, the pressure fluctuation coefficient increases by 15% at 35°C than at 20°C) combined with the temperature compensation model. Secondly, the increase of sea water temperature will affect the cooling efficiency of methanol fuel tank, which may cause the temperature of methanol solution to rise to 40°C (higher than the normal temperature 25°C), and the corrosion index may increase from 0.3 level to 0.5 level (corrosion level 0-1 level). The safety index calculation unit needs to incorporate the change of corrosion index into the safety value calculation according to the correlation model between corrosion and temperature. In addition, the engine load increases during high-speed sailing, and the flow matching value increases from 450 L / min at low speed to 580 L / min (close to the rated flow of engine 600 L / min), and the flow rate increases, which may cause the pressure impact of pipeline.

[0078] The safety index calculation unit needs to associate and calculate the above environmental condition parameters with the first safety value (0.72). For example, the increase of pressure fluctuation coefficient by 15% corresponds to a deduction of 0.05 in safety value, the increase of corrosion level corresponds to a deduction of 0.03, and the flow close to rated value corresponds to a deduction of 0.04. Finally, the second safety value is 0.72-0.05-0.03-0.04=0.6. During this process, the influence weight of each working condition factor needs to be set according to the ship design manual and historical operation data, such as temperature influence 30%, corrosion 25%, and flow load 45%, to ensure that the second safety value can truly reflect the safety state under the comprehensive working condition.

[0079] The level record unit needs to preset the second safety reference value, for example, the reference ship safety operation specification is set to 0.65. When the second safety value (0.6) is less than the second safety reference value (0.65), the system generates a first-level feedback record. In this case, the first-level feedback record automatically triggers the redundant switching mechanism, switches to the backup actuator, and sends an emergency notification to the technical department through the shipboard communication system. The content of the notification includes: "fuel switching safety value 0.6 in tropical sea area high-speed navigation, lower than the reference value 0.65, the standby valve group has been started, please provide technical support." At the same time, the system will record the current working condition parameters (temperature, speed, load), the switching actuator state (main valve group closed, standby valve group opened) and the switching time (such as June 20, 2025 14:30), to provide complete data chain for subsequent fault analysis.

[0080] If the second safety value is greater than the second safety reference value, take another working condition as an example: the ship is cruising at low speed (12 knots) in the temperate sea area, the environmental temperature is 20°C, the methanol fuel tank temperature is 28°C, the corrosion index is 0.2 level, the first safety value is 0.78, after environmental condition correction, the pressure fluctuation coefficient has no obvious change, the corrosion effect can be ignored, the flow load is low, the second safety value is calculated as 0.78-0=0.78 (greater than the reference value 0.65), a third-level feedback record is generated at this time. The third-level feedback record will prompt the monitoring personnel to continuously observe the switching process, for example, the shipboard monitoring system interface displays: "switching safety value 0.78 in temperate low-speed working condition, state normal, suggest recording pressure and flow data every hour." The monitoring personnel can view the real-time data curve through the man-machine interaction interface to ensure the stable operation of the system.

[0081] When the second safety value is equal to the second safety reference value, for example, the second safety value calculated under a certain working condition is 0.65, the system generates a second-level feedback record. Suppose the ship encounters sudden wind and waves while sailing in the offshore area, causing the ship body to shake intensively, the fuel tank liquid level fluctuation increases, affecting the measurement accuracy of the pressure sensor, the first safety value 0.7 is corrected to 0.65 after the working condition correction. The second-level feedback record will prompt the operation and maintenance personnel to immediately detect the switching system in detail, the detection content includes: the calibration state of the pressure sensor, the sealing performance of the valve group, the pipe fixing condition, etc. The operation and maintenance personnel connect the system interface through the handheld detection device, retrieve the recent pressure fluctuation data (such as liquid level fluctuation amplitude of ±0.5m), check whether the sensor deviates due to shaking, if it is found that the calibration deviation of a certain pressure sensor exceeds 5%, calibration or replacement is required immediately to avoid measurement error leading to distorted safety evaluation.

[0082] The feedback level generation mechanism of the level recording unit strictly follows the preset logic, and different levels of feedback records correspond to different processing procedures, ensuring the pertinence and effectiveness of risk response. For example, after the first-level feedback record is triggered, the standby executive mechanism switching subunit will act synchronously, while the second-level feedback record focuses on manual detection intervention, and the third-level feedback record mainly relies on continuous monitoring. Through the deep integration of environmental conditions and safety assessment, the entire state feedback recording module realizes dynamic tracking of the fuel switching process, providing multi-level protection for the safe operation of the ship under complex working conditions. The feedback record data will be stored in the on-board database to form a historical operation file, facilitating systematic safety analysis and optimization in the later stage.

[0083] It should be noted that, in this document, the terms such as first and second are used merely to distinguish one entity or operation from another, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. Moreover, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such a process, method, article or device.

[0084] Although embodiments of the present application have been shown and described, it will be understood by those having ordinary skill in the art that various changes, modifications, alternatives and variations can be made thereto without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. A binaural type C LNG fuel tank and methanol fuel adaptive switching control system, characterized in that: The fuel state sensing module, the switching logic decision module, the actuator control module, the safety redundancy guarantee module and the state feedback recording module are included. The fuel state sensing module is used for monitoring nodes and deploying sensing devices on the tank body and pipeline of the dual-ear C-shaped LNG fuel tank and the methanol fuel tank, collecting LNG fuel parameters, methanol fuel parameters and actuator operation state data in real time, and performing preliminary regularization on the collected data. The switching logic decision module is used for constructing a fuel characteristic matching model, simulating the dynamic characteristics of fuel switching using a multi-parameter fusion technology, simulating the response characteristics of the switching actuator using a threshold discrimination technology, and performing parameter adaptation on the dual-ear C-shaped LNG fuel tank, the methanol fuel tank and the switching actuator according to the real-time collected fuel parameters and actuator operation state data. The actuator control module is used for constructing pressure balance control algorithm, flow matching control algorithm and valve group synchronization control algorithm on the collected LNG fuel parameters, methanol fuel parameters and actuator operation state data, and transmitting the real-time collected fuel parameters and actuator operation state data to the constructed control algorithm to calculate switching pressure threshold, flow matching value and valve group action timing. The safety redundancy guarantee module is used for performing standardized processing on the obtained switching pressure threshold, flow matching value and valve group action timing, performing correlation calculation to obtain a first safety value, and presetting a first safety reference value to preliminarily compare and evaluate the safety of the fuel switching process. The state feedback recording module is used for further calculating a second safety value in combination with environmental working condition factors when it is analyzed that there is a safety risk in the fuel switching process, and presetting a second safety reference value to perform secondary comparison and evaluation on the second safety value, and further analyzing the adaptation performance of the dual-ear C-shaped LNG fuel tank and the methanol fuel under different working condition parameters and switching execution states. The switching logic decision module includes a characteristic matching modeling unit, a switching condition discrimination unit and a strategy optimization integration unit. The characteristic matching modeling unit includes a dual-fuel model construction unit and a dynamic characteristic simulation unit. The dual-fuel model construction unit extracts the structural parameters of the dual-ear C-shaped LNG fuel tank and the material characteristics of the methanol fuel tank from the ship design database, uses simulation software to establish a parameter matching model of the dual-fuel tank, simulates the volume ratio, pipeline diameter and heat exchange characteristics of the tank body, and adds typical working condition characteristics to the fuel switching process, including low-speed cruising, high-speed sailing and emergency shutdown. After preliminary modeling, the verification tool is used to define the density, viscosity and latent heat physical properties of the fuel, set the starting pressure, response time and stroke range of the switching actuator, and perform steady-state simulation, transient-state simulation and continuous switching simulation to simulate the switching response of the dual-ear C-shaped LNG fuel tank and the methanol fuel. The dynamic characteristic simulation unit is used for inputting the operating parameters of the ship, including the sailing speed, the load and the ambient temperature, and performing multi-parameter fusion analysis after inputting, to simulate the pressure field, the flow field and the temperature field of the dual-fuel system under different working conditions. The switching condition discrimination unit is used for establishing a response model of the switching execution mechanism, including the valve group opening pressure, the pipeline resistance and the sealing performance, simulating the critical condition of fuel switching by applying a threshold discrimination equation, analyzing the action result of the switching execution mechanism by threshold discrimination technology, and evaluating the pressure fluctuation, the flow deviation and the time delay of the switching process. The strategy optimization integrated unit is used for importing the dual-fuel tank model into the switching execution mechanism response model to obtain an integrated joint decision model, transmitting the real-time collected fuel parameters and mechanism operating state data to the multi-parameter fusion analysis and threshold discrimination analysis for dynamic simulation, and importing the dynamic simulation result into the joint decision model to update the adaptive state of the dual-fuel tank and the switching execution mechanism in real time, and displaying the simulation parameters through a man-machine interface to provide a strategy adjustment function.

2. The binaural C-type LNG fuel tank and methanol fuel adaptive switching control system according to claim 1, characterized in that: The fuel state sensing module includes an LNG parameter acquisition unit, a methanol parameter acquisition unit and a data preprocessing unit. The LNG parameter acquisition unit includes a pressure acquisition unit and a liquid level acquisition unit, which are used for deploying a fuel sensor group in the gas phase space and the liquid phase area of the dual-ear C-shaped LNG fuel tank to monitor and collect LNG fuel parameters in real time, and transmitting the collected data to the data preprocessing unit through CAN bus transmission. The pressure acquisition unit is used for monitoring the in-tank pressure value of the dual-ear C-shaped LNG fuel tank in real time according to the pressure sensor group, which includes a pressure probe, a signal amplifier and a data acquisition card. The liquid level acquisition unit is used for collecting the liquid level value of the LNG fuel in real time according to the liquid level sensor group, which includes a float type liquid level meter, a capacitive type liquid level meter and a signal converter. The methanol parameter acquisition unit is used for connecting with the monitoring system of the methanol fuel tank by establishing a communication protocol, reading the storage parameters of the methanol fuel in the monitoring system in real time, and extracting the solution concentration, the temperature value and the corrosion index of the storage parameters of the methanol fuel in real time to obtain the operating state data of the methanol fuel tank.

3. The binaural C-type LNG fuel tank and methanol fuel adaptive switching control system according to claim 2, characterized in that: The data preprocessing unit is used for filtering out interference signals and abnormal values from the collected LNG fuel parameters, methanol fuel parameters and mechanism operating state data, unifying the data formats from different protocols, and performing feature screening on the collected fuel parameters and mechanism operating state data by time series interpolation to obtain the effective pressure value, the effective liquid level value and the effective concentration value at the switching time.

4. The binaural C-type LNG fuel tank and methanol fuel adaptive switching control system according to claim 1, characterized in that: The execution mechanism control module includes a pressure balance control unit, a flow matching control unit and a valve group synchronization control unit. The pressure balance control unit is configured to build a pressure balance control algorithm, calculate a pressure balance threshold of the binaural C-shaped LNG fuel tank and the methanol fuel tank during the switching process according to the preprocessed fuel parameters, and extract the pressure matching condition of the dual-fuel tanks. The flow matching control unit is configured to build a flow matching control algorithm, calculate a flow matching value according to the preprocessed fuel parameters, and extract the flow variation characteristics of the dual-fuel pipelines. The valve group synchronization control unit is configured to build a valve group synchronization control algorithm, calculate a valve group action timing according to the preprocessed mechanism operation state data, and extract the synchronization action degree of the switching execution mechanism.

5. The binaural C-type LNG fuel tank and methanol fuel adaptive switching control system according to claim 4, characterized in that: The pressure balance control unit is configured to analyze the real-time data of the pressure sensors of the binaural C-shaped LNG fuel tank and the methanol fuel tank, combine the preprocessed temperature compensation value, calculate the pressure balance threshold, and extract the pressure matching interface position of the gas phase space of the dual-fuel tanks.

6. The binaural C-type LNG fuel tank and methanol fuel adaptive switching control system according to claim 4, characterized in that: The flow matching control unit is configured to compare the real-time flow data of the dual-fuel pipelines, combine the preprocessed pipeline diameter parameters, calculate the flow matching value, and extract the flow variation rate in the horizontal direction of the dual-fuel system.

7. The binaural C-type LNG fuel tank and methanol fuel adaptive switching control system of claim 1, wherein: The safety redundancy guarantee module includes a multi-index fusion unit and a preliminary risk discrimination unit. The multi-index fusion unit is configured to standardize the obtained switching pressure threshold, flow matching value, and valve group action timing, associate and calculate a first safety value, and comprehensively analyze the safety of the fuel switching process. The preliminary risk discrimination unit is configured to preset a first safety benchmark value according to the industry specifications and historical cases of dual-fuel switching, and preliminarily compare and evaluate the first safety value to evaluate the safety of the fuel switching process. The specific evaluation scheme is as follows: when the first safety value is greater than the first safety benchmark value, it indicates that the fuel switching process is safe and reliable under the current working condition and can continue to execute the switching process; when the first safety value is less than or equal to the first safety benchmark value, it indicates that the fuel switching process has risks under the current working condition, and the redundancy mechanism and further safety verification operation need to be triggered.

8. The binaural C-type LNG fuel tank and methanol fuel adaptive switching control system of claim 1, wherein: The state feedback recording module includes a safety index calculation unit and a level recording unit. The safety index calculation unit is configured to further analyze the safety of the binaural C-shaped LNG fuel tank and the methanol fuel under different working condition parameters and switching execution states in combination with the obtained first safety value, and calculate a second safety value. The grade recording unit is used for presetting the second safety reference value and the obtained second safety value, performing secondary comparison and evaluation, further analyzing the safety of the fuel switching process after the influence of multiple environmental conditions, and generating corresponding feedback grades. The specific evaluation scheme is as follows: when the second safety value is greater than the second safety reference value, it indicates that the fuel switching process is still safe under the condition of the comprehensive environmental condition, at this time, a third-level feedback record is generated to prompt the monitoring personnel to continuously observe the switching process; when the second safety value is equal to the second safety reference value, it indicates that there is a potential risk in the fuel switching process under the condition of the comprehensive environmental condition, at this time, a second-level feedback record is generated to prompt the operation and maintenance personnel to immediately detect the switching system in detail; when the second safety value is less than the second safety reference value, it indicates that the fuel switching process is significantly dangerous under the condition of the comprehensive environmental condition, at this time, a first-level feedback record is generated to automatically trigger a redundant switching mechanism, switch to a backup actuator, and notify the technical department to start an emergency handling plan.

9. The binaural C-type LNG fuel tank and methanol fuel adaptive switching control system of claim 7, wherein: The safety redundant guarantee module further comprises a backup actuator switching subunit; The backup actuator switching subunit is used for automatically switching to a preconfigured backup valve group actuator to maintain the continuity of fuel supply when it is determined that there is a risk in the switching process through the preliminary comparison and evaluation.

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