Double-lug C-type LNG fuel cabin and methanol fuel self-adaptive switching control system

Abstract

The invention relates to the technical field of ship fuel supply system control, and discloses a double-lug C-type LNG fuel cabin and methanol fuel self-adaptive switching control system which comprises a fuel state sensing module, a switching logic decision module, an execution mechanism control module, a safety redundancy guarantee module and a state feedback recording module. The fuel state sensing module is used for collecting and normalizing fuel parameters and mechanism operation state data; the switching logic decision module constructs a model to simulate switching dynamic characteristics and mechanism response characteristics, and performs parameter adaptation; the execution mechanism control module constructs an algorithm to calculate a switching pressure threshold value, a flow matching value and a valve group action time sequence; the safety redundancy guarantee module evaluates the switching safety; and the state feedback recording module performs secondary evaluation in combination with the environment working condition when the risk exists. According to the system, self-adaptive switching of LNG and methanol fuel is achieved, and switching accuracy, system stability and safety are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of ship fuel supply system control, in particular to a binaural C-type LNG fuel tank and a methanol fuel adaptive switching control system. Background Art

[0002] Traditional fuel switching systems mostly use single-parameter threshold control, making it difficult to adapt to the dynamic adaptation requirements of LNG and methanol fuels under changing physical properties (such as density, viscosity, and latent heat of phase change) and operating conditions (low-speed cruising, high-speed navigation, and emergency shutdown). For example, during the switching process, due to the lack of multi-parameter fusion analysis of the fuel tank pressure field, flow field, and temperature field, fuel supply fluctuations caused by pressure imbalances are common, and may even cause equipment failures or safety hazards. At the same time, existing systems lack modeling for matching fuel tank structural parameters with fuel characteristics, making it impossible to accurately simulate the switching response under different operating conditions, resulting in unreasonable switching timing control and affecting the stability of the ship's power system.

[0003] Furthermore, traditional systems suffer from a simplistic safety redundancy design, relying solely on a single safety metric to evaluate the switching process. They lack a comprehensive risk assessment mechanism for environmental conditions (such as temperature and load) and actuator status. When faced with complex operating conditions, it's difficult to identify potential risks in real time and trigger effective redundancy protection, potentially leading to switching failures or system downtime. Furthermore, the lack of data preprocessing and state feedback mechanisms prevents the system from performing real-time filtering and feature extraction of fuel parameters (such as cabin pressure, liquid level, and solution concentration), reducing the accuracy of switching decisions and further impacting the efficiency and safety of fuel switching.

[0004] In terms of coordinated control of dual-fuel tanks, existing technologies fail to achieve dynamic parameter adaptation between LNG and methanol fuel tanks. In particular, the unique structure of the binaural C-type LNG fuel tank leaves a technical gap in the coordinated control of gas phase pressure matching and liquid phase flow regulation. This results in significant energy loss during fuel switching and low system energy efficiency. Furthermore, the synchronous control accuracy of the valve group actuators is insufficient to meet the timing requirements for rapid dual-fuel switching, limiting the ship's dynamic response speed under different navigation conditions. Summary of the Invention

[0005] The purpose of the present invention is to provide a binaural C-type LNG fuel tank and a methanol fuel adaptive switching control system to solve the problems raised in the above background technology.

[0006] To achieve the above-mentioned object, the present invention provides the following technical solution: a binaural C-type LNG fuel tank and methanol fuel adaptive switching control system, the system comprising 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 status sensing module is used to set monitoring nodes on the tank bodies and pipelines of the binaural C-type LNG fuel tank and methanol fuel tank, and deploy sensing devices to collect LNG fuel parameters, methanol fuel parameters and operating status data of the switching actuator in real time, and preliminarily regularize the collected data; The switching logic decision module is used to build a fuel property matching model and use multi-parameter fusion technology to simulate the dynamic characteristics of fuel switching. At the same time, it uses threshold discrimination technology to simulate the response characteristics of the switching actuator. Based on the real-time collected fuel parameters and mechanism operation status data, it adapts the parameters of the binaural C-type LNG fuel tank, methanol fuel tank and switching actuator. The actuator control module is used to construct a pressure balance control algorithm, a flow matching control algorithm, and a valve group synchronization control algorithm based on the collected LNG fuel parameters, methanol fuel parameters, and mechanism operation status data, and transmit the real-time collected fuel parameters and mechanism operation status data to the constructed control algorithm to calculate and obtain the switching pressure threshold, flow matching value, and valve group action timing; The safety redundancy guarantee module is used to standardize the obtained switching pressure threshold, flow matching value and valve group action sequence, perform correlation calculation to obtain a first safety value and preset a first safety reference value, and perform preliminary comparative evaluation and analysis on the safety of the fuel switching process; The state feedback recording module is used to further calculate and obtain a second safety value in combination with environmental operating conditions when analyzing that there is a safety risk in the fuel switching process, and to preset a second safety reference value and the second safety value for a secondary comparative evaluation, and further analyze the adaptation performance of the binaural C-type LNG fuel tank and methanol fuel under different operating parameters and switching execution states.

[0007] Preferably, 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 is used to deploy a fuel sensor group in the gas phase space and liquid phase area of ​​the binaural C-type LNG fuel tank to monitor and collect LNG fuel parameters in real time, and transmit the data to the data preprocessing unit via CAN bus transmission. The fuel sensor group includes a pressure sensor group and a liquid level sensor group. The LNG fuel parameters include the pressure value in the tank and the fuel liquid level value; The pressure acquisition unit is used to monitor the pressure value inside the binaural C-type LNG fuel tank in real time based on the pressure sensor group. The pressure sensor group includes a pressure probe, a signal amplifier and a data acquisition card, which respectively collect the absolute value, fluctuation frequency and sampling period of the pressure data; The liquid level acquisition unit is used to collect the liquid level value of the LNG fuel in real time based on the liquid level sensor group. The liquid level sensor group includes a float level gauge, a capacitance level gauge and a signal converter. The LNG fuel parameters include liquid level height, measurement accuracy and temperature compensation value; The methanol parameter acquisition unit is used to establish a communication protocol to connect with the monitoring system of the methanol fuel tank, read the storage parameters of the methanol fuel in the monitoring system in real time, and extract and summarize the solution concentration, temperature value and corrosive index in the storage parameters of the methanol fuel in real time to obtain the operating status data of the methanol fuel tank.

[0008] Preferably, the data preprocessing unit is used to filter out interference signals and abnormal values ​​from the collected LNG fuel parameters, methanol fuel parameters and mechanism operation status data, and unify the data formats from different protocol sources. At the same time, the collected fuel parameters and mechanism operation status data are feature screened through time series interpolation to obtain the effective value of pressure, effective value of liquid level and effective value of concentration at the switching moment.

[0009] Preferably, the switching logic decision module includes a characteristic matching modeling unit, a switching condition judgment unit and a strategy optimization integration unit; The characteristic matching modeling unit includes a dual-fuel model building unit and a dynamic characteristic simulation unit; The dual-fuel model construction unit extracts the structural parameters of the binaural C-type LNG fuel tank and the material properties 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, pipe diameter and heat exchange characteristics of the tank body, and adds typical operating 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 phase change latent heat physical properties of the fuel for the constructed parameter matching model, and at the same time set the starting pressure, response time and stroke range of the switching actuator, and perform steady-state simulation, transient simulation and continuous switching simulation to simulate the switching response of the binaural C-type LNG fuel tank and methanol fuel; The dynamic characteristics simulation unit is used to input the operating parameters of the ship, including speed, load and ambient temperature, and then perform multi-parameter fusion analysis to simulate the pressure field, flow field and temperature field of the switching characteristics of the dual-fuel system under different operating conditions; The switching condition discrimination unit is used to establish a response model of the switching actuator, including the valve group opening pressure, pipeline resistance and sealing performance, and then apply the threshold discrimination equation to simulate the critical conditions of fuel switching. The threshold discrimination technology is used to analyze the action results of the switching actuator and evaluate the pressure fluctuation, flow deviation and time delay of the switching process; The strategy optimization integration unit is used to import the dual-fuel tank model into the switching actuator response model for integration to obtain a joint decision-making model, and then transmit the real-time collected fuel parameters and mechanism operation status data to multi-parameter fusion analysis and threshold discrimination analysis for dynamic simulation, and import the dynamic simulation results into the joint decision-making model, update the adaptation status of the dual-fuel tank and the switching actuator in real time, and display the simulation parameters through the human-computer interaction interface to provide strategy adjustment function.

[0010] Preferably, the actuator 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 used to construct a pressure balance control algorithm, calculate and obtain the pressure balance threshold of the binaural C-type LNG fuel tank and the methanol fuel tank during the switching process based on the pre-processed fuel parameters, and extract the pressure matching status of the dual fuel tanks; The flow matching control unit is used to construct a flow matching control algorithm, calculate and obtain flow matching values ​​based on the pre-processed fuel parameters, and extract flow change characteristics of the dual fuel pipeline; The valve group synchronization control unit is used to construct a valve group synchronization control algorithm, calculate and obtain the valve group action timing based on the pre-processed mechanism operation status data, and extract the synchronization action degree of the switching actuator.

[0011] Preferably, the pressure balance control unit is used to calculate and obtain the pressure balance threshold by analyzing the real-time data of the pressure sensors of the binaural C-type LNG fuel tank and the methanol fuel tank, combined with the pre-processed temperature compensation value, and extract the pressure matching interface position of the dual fuel tank gas phase space.

[0012] Preferably, the flow matching control unit is used to calculate and obtain the flow matching value by comparing the real-time flow data of the dual-fuel pipeline in combination with the pre-processed pipeline diameter parameters, and extract the flow change rate of the dual-fuel system in the horizontal direction.

[0013] Preferably, the safety redundancy guarantee module includes a multi-index fusion unit and a preliminary risk identification unit; The multi-index fusion unit is used to normalize the obtained switching pressure threshold, flow matching value and valve group action timing, perform correlation calculation to obtain a first safety value, and conduct a comprehensive analysis of the safety of the fuel switching process; The preliminary risk identification unit is used to preset a first safety reference value based on industry standards and historical cases of dual-fuel switching, and perform a preliminary comparative evaluation with the obtained 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 reference value, it indicates that the fuel switching process can continue to execute the switching process safely and reliably under the current operating conditions; when the first safety value is less than or equal to the first safety reference value, it indicates that there is a risk in the fuel switching process under the current operating conditions, and it is necessary to trigger a redundancy mechanism and further safety verification operations.

[0014] Preferably, the state feedback recording module includes a safety index calculation unit and a level recording unit; The safety index calculation unit is used to further analyze the safety of the binaural C-type LNG fuel tank and methanol fuel under different operating parameters and switching execution states in combination with the obtained first safety value, and perform correlation calculation to obtain a second safety value; The level recording unit is used to preset a second safety reference value and the obtained second safety value, conduct a secondary comparative evaluation, further analyze the safety of the fuel switching process after the influence of multiple environmental conditions, and 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 means that the fuel switching process is still safe under the conditions after the comprehensive environmental conditions. At this time, a third-level feedback record is generated to prompt the monitoring personnel to continue to observe the switching process; when the second safety value is equal to the second safety reference value, it means that there is a potential risk in the fuel switching process under the conditions after the comprehensive environmental conditions. At this time, a second-level feedback record is generated to prompt the operation and maintenance personnel to immediately conduct a detailed inspection of the switching system; when the second safety value is less than the second safety reference value, it means that the fuel switching process is significantly dangerous under the conditions after the comprehensive environmental conditions. At this time, a first-level feedback record is generated to automatically trigger the redundant switching mechanism, switch to the backup actuator and notify the technical department to start the emergency response plan.

[0015] Preferably, the safety redundancy protection module further includes a backup actuator switching subunit; The backup actuator switching subunit is used to automatically switch to the pre-configured backup valve group actuator when a preliminary comparison and assessment determines that there is a risk in the switching process, so as to maintain the continuity of fuel supply.

[0016] Compared with the prior art, the present invention has the following beneficial effects: The dual-ear type C-type LNG fuel tank and methanol fuel adaptive switching control system provided by the present invention realizes intelligent and safe control of the fuel switching process through the collaborative work of multiple modules. The fuel status perception module collects LNG and methanol fuel parameters and actuator status data in real time by deploying multiple types of sensors in the tank and pipelines, and filters out interference signals through pre-processing 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 constructed by the switching logic decision module can simulate the changes in pressure field, flow field and temperature field under different working conditions in combination with the ship's operating parameters (speed, load, ambient temperature), accurately evaluate the critical switching conditions through multi-parameter fusion and threshold discrimination technology, realize dynamic optimization of the fuel switching strategy, and improve the system's adaptability to complex working conditions.

[0017] The actuator control module uses pressure balancing, flow matching, and valve group synchronization control algorithms to accurately calculate the switching pressure threshold, flow matching value, and valve group action timing. This effectively solves the problems of pressure imbalance and large flow fluctuations in traditional systems, ensuring stable pressure matching and flow connection between dual-fuel tanks during the switching process, improving the continuity of fuel supply and the stability of the power system. The safety redundancy assurance module calculates a first safety value through multi-indicator fusion and compares it with a preset baseline value to perform a preliminary risk assessment of the switching process. When a risk is determined, it automatically triggers the backup actuator to switch, maintaining the continuity of fuel supply and reducing the risk of system failure.

[0018] The state feedback recording module further calculates a second safety value based on environmental conditions and generates feedback records of varying levels through a secondary comparative assessment, enabling refined safety management of the switching process. This mechanism not only monitors potential risks in real time but also provides data support for system maintenance, improving the reliability and maintainability of the overall system. Furthermore, by constructing a joint decision-making model that integrates the dual-fuel tank model with the actuator response model, the system achieves real-time interaction and adaptive status updates between fuel parameters and actuator status, providing accurate simulation parameters and strategy adjustment capabilities for the human-machine interface, enhancing the system's operability and intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a working principle diagram of the binaural C-type LNG fuel tank and methanol fuel adaptive switching control system described in the present invention; Figure 2 This is a flowchart of the fuel status sensing module; Figure 3 This is a flowchart of the safety redundancy protection module; Figure 4 This is the flowchart of the status feedback recording module. DETAILED DESCRIPTION

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0021] See also Figure 1-Figure 4 The present invention relates to a binaural C-type LNG fuel tank and a methanol fuel adaptive switching control system, which includes: 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 specific implementation steps are as follows: The fuel status sensing module installs monitoring nodes and sensing devices within the hulls and pipelines of the binaural C-type LNG and methanol fuel tanks. This module collects real-time LNG and methanol fuel parameters, as well as the operating status of the switching actuators, and then performs preliminary normalization of this data. The switching logic decision module constructs a fuel property matching model, employing multi-parameter fusion technology to simulate the dynamic characteristics of fuel switching and threshold discrimination technology to simulate the response characteristics of the switching actuators. Based on the real-time collected fuel parameters and operating status data, it adapts the parameters of the binaural C-type LNG and methanol fuel tanks, as well as the switching actuators. The actuator control module uses the collected LNG and methanol fuel parameters and operating status data to construct pressure balance control algorithms, flow matching control algorithms, and valve group synchronization control algorithms. The real-time collected fuel parameters and operating status data are then fed into these control algorithms to calculate the switching pressure threshold, flow matching value, and valve group actuation timing. The safety redundancy assurance module standardizes the acquired switching pressure thresholds, flow matching values, and valve group action timings, then calculates a first safety value based on a correlation calculation. It then pre-sets a first safety baseline value and performs a preliminary comparative assessment with the first safety value to analyze the safety of the fuel switching process. If the state feedback recording module identifies a safety risk during the fuel switching process, it calculates a second safety value based on environmental factors. It then performs a secondary comparative assessment with the pre-set second safety baseline value to further analyze the compatibility of the binaural C-type LNG fuel tank with methanol fuel under different operating parameters and switching execution states.

[0022] Example 1: The fuel status perception module includes an LNG parameter acquisition unit, a methanol parameter acquisition unit and a data preprocessing unit, and each unit works together to achieve comprehensive perception of the fuel status and preliminary data processing.

[0023] The deployment and workflow of the pressure acquisition unit within the LNG parameter acquisition unit are as follows: A fuel sensor group is deployed within the gas phase space of a binaural C-type LNG fuel tank in accordance with specific installation specifications and monitoring requirements. The pressure sensor group within this sensor group consists of a pressure probe, a signal amplifier, and a data acquisition card. The pressure probe is a high-precision model that meets industrial standards and can sense pressure changes in the gas phase space within the tank in real time and accurately collect the absolute value of the pressure data. The signal amplifier is connected to the pressure probe and amplifies the weak electrical signal output by the pressure probe to ensure sufficient signal strength and stability during transmission, avoiding data distortion due to signal attenuation. The data acquisition card is responsible for collecting the amplified pressure signal according to the set sampling period and recording the frequency of pressure fluctuations, providing detailed time series data for subsequent pressure analysis.

[0024] The liquid level acquisition unit is deployed in the liquid phase area of ​​the LNG fuel tank and adheres to strict installation standards. The unit's liquid level sensor assembly includes a float-type level gauge, a capacitance level gauge, and a signal converter. The float-type level gauge uses the mechanical displacement of a float as the liquid level rises and falls to measure the liquid level in real time. Its simple structure and high reliability ensure stable operation in the low-temperature environment of LNG. The capacitance level gauge precisely measures the liquid level by utilizing the principle that changes in capacitance due to changes in liquid level. It features high measurement accuracy and fast response. The signal converter converts the physical signals output by the float and capacitance level gauges into standard electrical signals for subsequent transmission and processing. The LNG fuel parameters collected by the level acquisition unit include liquid level, measurement accuracy, and temperature compensation. The temperature compensation is designed to mitigate the effects of ambient temperature fluctuations on level measurement accuracy. It monitors the fuel temperature in real time and calculates compensation based on the correlation between temperature and level measurement to ensure accurate level data. The data collected by the pressure acquisition unit and the liquid level acquisition unit are transmitted to the data preprocessing unit via the CAN bus with a stable transmission rate and anti-interference ability.

[0025] The methanol parameter acquisition unit operates by establishing a specialized communication protocol that matches the interface standards of the methanol fuel tank's monitoring system. Through hardware connections and software protocol integration, it achieves a stable connection with the monitoring system. Once the connection is established, the methanol parameter acquisition unit reads the storage parameters of the methanol fuel in the monitoring system in real time at a preset frequency. A specific data extraction algorithm is used to extract the solution concentration, temperature, and corrosivity parameters within these stored parameters in real time. The extraction of solution concentration takes into account possible compositional variations in the methanol solution and is determined by analyzing relevant chemical parameters and measurement data from the monitoring system. Temperature values ​​are directly derived from the temperature sensor measurement data in the monitoring system. Extracting corrosivity is more complex and requires comprehensive consideration of factors such as the chemical composition of the methanol fuel and the storage environment. Corrosivity is calculated using relevant evaluation models and data from the monitoring system. Once extracted, these parameters are aggregated to form complete operational status data for the methanol fuel tank.

[0026] The data preprocessing unit performs a series of processing on the fuel parameters and operating status data from the LNG and methanol parameter acquisition units, as well as the switching actuator's operating status data. First, a digital filtering algorithm is used to filter out interference signals and abnormal values. Interference signals may arise from factors such as electromagnetic interference and mechanical vibration during ship operation, while abnormal values ​​may be caused by sensor failures or data transmission errors. The filtering algorithm effectively removes these noise signals and improves data quality. Next, because data from different sources may use different protocols and formats, the data preprocessing unit must convert these data formats to a unified format that conforms to the system's internal data processing standards for subsequent analysis and calculations. For example, voltage and current signals from different sensors are converted to a unified digital format. Finally, time series interpolation is used to filter the collected fuel parameter and actuator operating status data for feature selection. Time series interpolation compensates for uneven time intervals or missing data that may occur during data acquisition. The interpolation algorithm supplements and smoothes the data to ensure continuity along the time axis. During the feature screening process, key feature data such as the effective value of pressure, effective value of liquid level and effective value of concentration at the switching moment are extracted according to the key time points and state changes of fuel switching. These data can accurately reflect the fuel state and mechanism operation state at the switching moment.

[0027] Example 2: The switching logic decision module is composed of a characteristic matching modeling unit, a switching condition judgment unit and a strategy optimization integration unit. Each unit realizes the decision and optimization of the fuel switching logic through specific processes and technical means.

[0028] The dual-fuel model construction unit within the characteristic matching modeling unit extracts the structural parameters of the binaural C-type LNG fuel tank from the ship design database, including the tank's geometric dimensions, volume, and specific parameters of the binaural structure, as well as the material properties of the methanol fuel tank, including its strength, corrosion resistance, and thermal conductivity. After extracting this data, a parameter matching model for the dual-fuel tank is established using professional simulation software based on the design standards and physical model of the ship's fuel tanks. During the modeling process, the volume ratio of the tanks must be accurately simulated to ensure that the volume relationship between the LNG and methanol fuel tanks in the model is consistent with that of the actual ship. Simultaneously, the pipeline diameter must be simulated, including the diameter, length, and degree of curvature of each section, to accurately reflect the flow characteristics of the fuel in the pipeline. Heat exchange characteristics must also be simulated, taking into account the heat transfer process between the fuel, the tank, and the environment, as well as the phase change thermal effects of the fuel itself.

[0029] To make the model more realistic, it is necessary to add typical operating characteristics 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 requires a quick response to ensure power supply. Emergency shutdown conditions are special cases, and the switching process must meet the requirements of safe shutdown. After the preliminary modeling is completed, the constructed parameter matching model is further processed using a verification tool. Specifically, the physical properties of the fuel, such as density, viscosity, and latent heat of phase change, are defined. These property parameters must be accurately set based on 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. These parameters are determined based on the actual performance parameters and design requirements of the actuator. After completing the above settings, the model is subjected to steady-state simulation, transient simulation, and continuous switching simulation. Steady-state simulation is used to analyze the switching response of the system under stable operating conditions; transient simulation focuses on the dynamic changes at the switching moment; and continuous switching simulation can evaluate the stability and reliability of the system during multiple switching processes. Through these simulations, we can fully understand the switching response characteristics of the binaural C-type LNG fuel tank and methanol fuel.

[0030] The dynamic characteristics simulation unit's workflow is as follows: First, the ship's operating parameters, including speed, load, and ambient temperature, are input. Speed ​​directly affects the ship's power requirements and fuel consumption rate; changes in load lead to changes in engine power requirements, which in turn affect the timing and requirements of fuel switching; and ambient temperature affects the physical state of the fuel and the operating characteristics of the pipeline. After entering these parameters, multi-parameter fusion analysis technology is used to comprehensively consider the interrelationships and influences between the various parameters, simulating the pressure, flow, and temperature fields of the dual-fuel system's switching characteristics under different operating conditions. Pressure field simulations must consider the pressure distribution and changes in various locations during the switching process to ensure that pressure fluctuations remain within a reasonable range; flow field simulations must accurately reflect the flow rate and distribution of the fuel in the pipeline to ensure continuity of the fuel supply; and temperature field simulations focus on changes in fuel and tank temperature during the switching process to prevent temperature anomalies from affecting system operation.

[0031] The switching condition determination unit first establishes a response model for the switching actuator, encompassing key factors such as valve group opening pressure, pipeline resistance, and sealing performance. The valve group opening pressure must be set based on the fuel system's operating pressure range and switching requirements; the calculation of pipeline resistance must consider factors such as pipeline length, diameter, curvature, and fuel viscosity; and sealing performance is crucial to system safety and reliability, ensuring no leakage during the switching process. After establishing the model, a threshold discrimination equation is applied to simulate the critical conditions for fuel switching. This threshold discrimination equation is based on safety standards and technical requirements for fuel switching. By setting reasonable parameters such as pressure and flow thresholds, it determines whether the switching conditions are met. Threshold discrimination technology is used to analyze the switching actuator's action results, assessing whether pressure fluctuations during the switching process are within the allowable range, whether flow deviations will affect power supply, and whether time delays meet system response requirements.

[0032] The strategy optimization integration unit integrates the dual-fuel tank model with the switching actuator response model to form a joint decision-making model. This integration process ensures smooth data exchange between the two models and accurately reflects the interaction between the dual-fuel tank and the actuator. Real-time fuel parameters and mechanism operating status data are then transmitted to the multi-parameter fusion analysis and threshold discrimination analysis modules for dynamic simulation. The multi-parameter fusion analysis module comprehensively processes various real-time data, considering the correlations and influences between parameters. The threshold discrimination analysis module uses real-time data to determine whether the switching conditions are currently met. The dynamic simulation results are then imported into the joint decision-making model to update the matching status of the dual-fuel tank and the switching actuator in real time. Simulation parameters such as pressure, flow, and temperature are displayed in real-time and along with simulation results through a human-computer interface, allowing operators to intuitively understand the system's operating status. A strategy adjustment function is also provided, allowing operators to manually optimize and adjust the switching strategy based on actual conditions to suit different operating conditions and requirements.

[0033] Example 3: The actuator control module consists 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.

[0034] The core work of the pressure balance control unit is to build a pressure balance control algorithm, the design of which is based on the physical principles of pressure balance during fuel switching and the requirements for safe operation of the system. In specific implementation, the pre-processed fuel parameters are first obtained. These parameters include the LNG fuel tank pressure data, methanol fuel tank pressure data and related temperature compensation values ​​processed by the fuel status sensing module. By calculating these parameters, the pressure balance threshold of the binaural C-type LNG fuel tank and the methanol fuel tank during the switching process can be obtained. The determination of the pressure balance threshold requires comprehensive consideration of the structural characteristics of the two fuel tanks, the physical properties of the fuel, and the operating conditions of the ship during operation, to ensure that the pressure difference between the two fuel tanks is within a safe range during the switching process, and to avoid fuel leakage, equipment damage and other problems caused by pressure imbalance.

[0035] While calculating the pressure balance threshold, the pressure balance control unit also needs to extract the pressure matching status of the dual fuel tanks. This process is achieved by analyzing the real-time data of the pressure sensors of the binaural C-type LNG fuel tank and the methanol fuel tank. The pressure sensors are arranged at key positions of the two fuel tanks and can monitor the pressure changes in the tanks in real time. Combined with the pre-processed temperature compensation value, the pressure data is corrected to eliminate the impact of temperature changes on the pressure measurement, so as to more accurately obtain the pressure balance threshold. The acquisition of the temperature compensation value is based on the real-time monitoring of the fuel and ambient temperature by the temperature sensor, as well as 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 in the gas phase space of the dual fuel tanks. The determination of this position is crucial to ensuring the smoothness and safety of the fuel switching process. It can guide the action of the actuator so that the pressure of the two fuel tanks gradually reaches a balanced state.

[0036] The flow matching control unit's primary task is to develop a flow matching control algorithm designed to ensure a smooth flow transition in the dual-fuel pipeline during fuel switching, preventing sudden changes in flow from impacting the normal operation of the ship's propulsion system. Calculations are also based on preprocessed fuel parameters. These parameters include real-time dual-fuel pipeline flow data, pipeline diameter parameters, and fuel viscosity. By comparing real-time dual-fuel pipeline flow data, the current flow distribution of LNG and methanol fuels can be understood. The pipeline diameter parameter directly affects the fuel's flow resistance and flow rate, and therefore needs to be accurately considered during the calculation process.

[0037] Specifically, the flow matching control unit calculates the flow matching value through a specific calculation method, combining real-time flow data and pipeline diameter parameters. The determination of the flow matching value needs to take into account the fuel requirements of the ship's engine under different operating conditions, as well as the differences in the characteristics of the two fuels. For example, during the switching process, the flow rates of LNG and methanol need to be gradually adjusted so that the total flow meets the power requirements of the engine while avoiding excessive flow fluctuations. In the process of calculating the flow matching value, it is also necessary to extract the horizontal flow change rate of the dual-fuel system. The extraction of the flow change rate can reflect the speed of the flow adjustment. By controlling this rate, the flow switching process can be made smoother. If the flow change rate is too fast, it may cause engine power fluctuations, affecting the ship's navigation performance; if it is too slow, it may cause the switching time to be too long, affecting the response speed of the system.

[0038] The valve synchronization control unit focuses on developing a valve synchronization control algorithm. This algorithm is used to control the timing of the valve group movements in the switching actuator, ensuring coordinated and consistent movement between the valve groups and improving the reliability and stability of fuel switching. During implementation, calculations are performed based on preprocessed mechanism operating status data. This preprocessed mechanism operating status data includes the current position of the valve group, the time of movement, the operating status of the drive mechanism, and other information. By analyzing and processing this data, the valve synchronization control unit can calculate the valve group movement timing.

[0039] The determination of the valve group action sequence requires consideration of 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 during the fuel switching process. For example, some valve groups are responsible for cutting off the LNG fuel supply, while others are responsible for connecting the methanol fuel supply. Therefore, their action sequences must be precisely coordinated, otherwise it may cause problems such as fuel mixing and supply interruption. In the process of calculating the valve group action sequence, it is also necessary to extract the degree of synchronous action of the switching actuator. The extraction of the degree of synchronous action can be achieved by comparing the deviation between the actual action time of each valve group and the preset action time. The smaller the deviation, the higher the degree of synchronous action. By real-time monitoring and adjusting the degree of synchronous action, it can be ensured that each valve group operates according to the predetermined timing to achieve smooth fuel switching.

[0040] During the operation of the actuator control module, the pressure balance control unit, flow matching control unit, and valve group synchronization control unit do not operate independently; instead, they are interconnected and work in synergy. Pressure balance control affects flow rate changes, while flow matching requires precise valve group movement. The synchronized movement of the valve group is the foundation for ensuring pressure balance and flow matching.

[0041] Example 4: The safety redundancy assurance module includes a multi-index fusion unit, a preliminary risk identification unit and a backup actuator switching sub-unit. Each unit ensures the safety and continuity of the fuel switching process through data processing, logical judgment and hardware switching mechanism.

[0042] The multi-index fusion unit's workflow first requires obtaining the switching pressure threshold, flow matching value, and valve group action sequence output by the actuator control module. For example, consider a fuel switch on a certain vessel operating at low speed in a harbor. Assume that the actuator control module calculates a switching pressure threshold of 0.8 MPa, a flow matching value of 450 L / min, and a valve group action sequence of "opening the methanol fuel inlet valve first, then closing the LNG fuel outlet valve after a 5-second delay." The multi-index fusion unit then standardizes these parameters, converting parameters of different dimensions (such as pressure, flow, and time) into uniform, dimensionless values ​​to facilitate subsequent correlation calculations. Standardization processing can adopt the industry-wide normalization method. For example, the pressure threshold is compared with the system's maximum working pressure (1.0MPa) to obtain a standardized pressure value of 0.8; the flow matching value is compared with the engine's rated flow (500L / min) to obtain a standardized flow value of 0.9; the valve group action timing is converted into a standardized time value according to the preset safety time window (such as the allowable delay time is 3-8 seconds) (5 seconds is within this range, and after standardization it is 0.5).

[0043] After completing the standardization process, the multi-index fusion unit needs to establish a correlation calculation model. This model needs to comprehensively consider the weight of each indicator. For example, the importance of pressure balance accounts for 40%, flow matching accounts for 35%, and valve group timing accounts for 25%. The first safety value is calculated by weighted summation, namely: 0.8×40%+0.9×35%+0.5×25%=0.76. In this process, the setting of weights must be based on the industry specifications and ship design standards for dual-fuel switching to ensure that the calculation results can accurately reflect the safety of the switching process. The multi-index fusion unit avoids the risk of misjudgment of a single indicator through comprehensive analysis of multi-dimensional data, providing a comprehensive quantitative basis for subsequent safety assessments.

[0044] The preliminary risk assessment unit must preset a first safety baseline value based on industry standards and historical cases for dual-fuel switching. For example, referring to a safety standard for dual-fuel vessels issued by the International Maritime Organization (IMO), the first safety baseline value is set at 0.7. When the first safety value (0.76) calculated by the multi-indicator fusion unit is greater than the first safety baseline value (0.7), it indicates that the fuel switching process is safe and reliable under the current operating conditions. The system will continue the switching process, opening the methanol inlet valve and closing the LNG outlet valve according to the preset valve group action sequence. If the first safety value is less than or equal to the first safety baseline value (for example, the calculated result is 0.65), it indicates that the switching process is risky, and the redundancy mechanism and further safety verification operations must be triggered.

[0045] For example, when a ship is sailing at high speed in adverse sea conditions, the actuator control module calculates a switching pressure threshold of 0.9 MPa (close to the maximum system pressure of 1.0 MPa), and the flow rate is matched to 520 L / min (exceeding the engine's rated flow rate of 500 L / min). The valve group's actuation timing is delayed to 10 seconds due to pipeline pressure fluctuations (exceeding the upper limit of the safety time window by 8 seconds). After normalization, the pressure value is 0.9, the flow value is 1.04 (if it exceeds 1.0, it is calculated as 1.0), and the time value is (10-3) / (8-3)=1.4 (if it exceeds 1.0, it is calculated as 1.0). The weighted first safety value is 0.9 × 40% + 1.0 × 35% + 1.0 × 25% = 0.91. If the first safety reference value is still 0.7 at this time, the system determines that it is safe and continues to switch; however, if the corrosion index of the methanol fuel tank is abnormal due to severe working conditions, after being collected by the fuel status perception module, it may affect the calculation logic of the flow matching value. At this time, a secondary evaluation of the state feedback recording module is required, but the preliminary risk judgment unit only makes an initial judgment based on the current actuator parameters.

[0046] The backup actuator switching subunit automatically activates when the preliminary risk assessment unit determines that the switching process presents a risk (e.g., first safety value ≤ 0.7). For example, if a valve group's sealing performance degrades due to long-term use, causing pressure fluctuations during switching to exceed a threshold (the first safety value is calculated to be 0.68), the backup actuator switching subunit immediately activates the pre-configured backup valve group actuator. The backup valve group is designed to be redundant with the main valve group, with the same piping connections, drive method, and control interface as the main valve group, ensuring uninterrupted fuel supply during the switching process. During the switching process, the system first opens the backup valve group's bypass line to maintain a stable fuel flow, then gradually closes the main valve group to complete the actuator switching. This process is automatically completed by the control system, requiring no human intervention, and the switching time is kept within 10 seconds to ensure the continuity of the ship's power system.

[0047] After the standby actuator is switched, the system will automatically record the fault status and switching time of the main valve group and transmit the relevant data to the status feedback recording module.

[0048] Example 5: The state feedback recording module is composed of a safety index calculation unit and a level recording unit. Through a multi-level safety assessment and feedback mechanism, it realizes the safety analysis and recording of the fuel switching process under multiple environmental conditions.

[0049] The safety index calculation unit integrates the first safety value output by the multi-index fusion unit and incorporates environmental factors for in-depth analysis. For example, for a container ship undergoing a fuel switch in tropical waters, the multi-index fusion unit calculates a first safety value of 0.72 (greater than the first safety baseline of 0.7), initially determining safety. However, at this time, the ambient temperature is 35°C, the seawater temperature is 28°C, and the ship is operating at high speed (25 knots). Therefore, the safety index calculation unit must reassess these parameters.

[0050] First, rising ambient temperatures will increase the evaporation rate of the LNG fuel tank, potentially increasing pressure fluctuations within the tank. The safety indicator calculation unit must retrieve real-time LNG tank pressure data collected by the fuel status sensing module (e.g., current pressure 0.85 MPa, fluctuation range 0.8-0.9 MPa) and analyze the temperature-related pressure coefficient using a temperature compensation model (e.g., the pressure fluctuation coefficient at 35°C is 15% higher than at 20°C). Second, rising seawater temperatures will affect the cooling efficiency of the methanol fuel tank, potentially causing the methanol solution temperature to rise to 40°C (higher than the ambient temperature of 25°C), potentially increasing its corrosivity from level 0.3 to level 0.5 (corrosivity level 0-1). The safety indicator calculation unit must factor this change into the safety value calculation based on a correlation model between corrosivity and temperature. Furthermore, during high-speed travel, the engine load increases, raising the flow rate matching value from 450 L / min at low speed to 580 L / min (close to the engine's rated flow rate of 600 L / min). This accelerated rate of flow change may result in pipeline pressure surges.

[0051] The safety index calculation unit correlates the above environmental operating parameters with the first safety value (0.72). For example, a 15% increase in the pressure fluctuation coefficient corresponds to a 0.05 deduction from the safety value, an increase in the corrosivity level corresponds to a 0.03 deduction, and a flow rate approaching the rated value deducts 0.04, ultimately resulting in a second safety value of 0.72 - 0.05 - 0.03 - 0.04 = 0.6. During this process, the weighting of each operating condition factor must be set based on the ship design manual and historical operating data, such as a 30% temperature impact, a 25% corrosion impact, and a 45% flow load impact, to ensure that the second safety value truly reflects the safety status under the comprehensive operating conditions.

[0052] The level recording unit requires a preset second safety reference value, such as 0.65, based on the Ship Safety Operations Specification. When the second safety value (0.6) falls below 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, switching to the backup actuator and sending an emergency notification to the technical department via the shipboard communication system. The notification includes the following: "The fuel switching safety value is 0.6 during high-speed navigation in tropical waters, which is lower than the reference value of 0.65. The backup valve group has been activated. Technical support is requested." The system also records the current operating parameters (temperature, speed, load), the switching actuator status (main valve group closed, backup valve group open), and the switching time (e.g., 14:30 on June 20, 2025), providing a complete data chain for subsequent fault analysis.

[0053] If the second safety value is greater than the second safety reference value, consider another operating condition: a vessel cruising at low speed (12 knots) in temperate waters, with an ambient temperature of 20°C, a methanol fuel tank temperature of 28°C, a corrosive index of 0.2, and a first safety value of 0.78. After correction for the ambient operating conditions, the pressure fluctuation coefficient remains unchanged, the corrosive impact is negligible, and the flow load is low. The second safety value is calculated as 0.78 - 0 = 0.78 (greater than the reference value of 0.65). A third-level feedback record is generated. This third-level feedback record prompts monitoring personnel to continuously observe the switching process. For example, the onboard monitoring system interface will display: "Switching safety value 0.78 under temperate low-speed conditions, normal status. Hourly recording of pressure and flow data is recommended." Monitoring personnel can view real-time data curves through the human-computer interface to ensure stable system operation.

[0054] When the second safety value equals the second safety reference value, for example, a second safety value of 0.65 is calculated under certain operating conditions, the system generates a secondary feedback record. Suppose a ship encounters a sudden storm while sailing in an offshore area, causing increased hull swaying and fuel tank level fluctuations, affecting the pressure sensor's measurement accuracy. The first safety value of 0.7 is corrected to 0.65 after the operating conditions. The secondary feedback record prompts operations personnel to immediately conduct a detailed inspection of the switching system, including the calibration status of the pressure sensor, the sealing performance of the valve group, and the fixing of the pipeline. Operations personnel connect a handheld testing device to the system interface and retrieve recent pressure fluctuation data (such as a liquid level fluctuation of ±0.5m) to check whether the sensor has shifted due to swaying. If a pressure sensor is found to have a calibration deviation of more than 5%, it must be calibrated or replaced immediately to avoid distorted safety assessments due to measurement errors.

[0055] The feedback level generation mechanism of the level recording unit strictly adheres to preset logic. Different levels of feedback records correspond to different processing procedures, ensuring targeted and effective risk response. For example, when a level 1 feedback record is triggered, the standby actuator switching subunit will be activated synchronously, while level 2 feedback records focus on manual inspection and intervention, and level 3 feedback records are mainly for continuous monitoring. The entire state feedback recording module deeply integrates environmental conditions with safety assessments to achieve dynamic tracking of the fuel switching process, providing multi-level protection for the safe operation of ships under complex operating conditions. Feedback record data is stored in the shipboard database to form a historical operation archive, facilitating systematic safety analysis and optimization at a later stage.

[0056] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "includes," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0057] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A binaural C-type LNG fuel tank and methanol fuel adaptive switching control system, characterized by: It includes fuel status perception module, switching logic decision module, actuator control module, safety redundancy guarantee module and status feedback recording module; The fuel status sensing module is used to set monitoring nodes on the tank bodies and pipelines of the binaural C-type LNG fuel tank and methanol fuel tank, and deploy sensing devices to collect LNG fuel parameters, methanol fuel parameters and operating status data of the switching actuator in real time, and preliminarily regularize the collected data; The switching logic decision module is used to build a fuel property matching model and use multi-parameter fusion technology to simulate the dynamic characteristics of fuel switching. At the same time, it uses threshold discrimination technology to simulate the response characteristics of the switching actuator. Based on the real-time collected fuel parameters and mechanism operation status data, it adapts the parameters of the binaural C-type LNG fuel tank, methanol fuel tank and switching actuator. The actuator control module is used to construct a pressure balance control algorithm, a flow matching control algorithm, and a valve group synchronization control algorithm based on the collected LNG fuel parameters, methanol fuel parameters, and mechanism operation status data, and transmit the real-time collected fuel parameters and mechanism operation status data to the constructed control algorithm to calculate and obtain the switching pressure threshold, flow matching value, and valve group action timing; The safety redundancy guarantee module is used to standardize the obtained switching pressure threshold, flow matching value and valve group action sequence, perform correlation calculation to obtain a first safety value and preset a first safety reference value, and perform preliminary comparative evaluation and analysis on the safety of the fuel switching process; The state feedback recording module is used to further calculate and obtain a second safety value in combination with environmental operating conditions when analyzing that there is a safety risk in the fuel switching process, and to preset a second safety reference value and the second safety value for a secondary comparative evaluation, and further analyze the adaptation performance of the binaural C-type LNG fuel tank and methanol fuel under different operating parameters and switching execution states.

2. The binaural C-type LNG fuel tank and methanol fuel adaptive switching control system according to claim 1 is characterized by: 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 is used to deploy a fuel sensor group in the gas phase space and liquid phase area of ​​the binaural C-type LNG fuel tank to monitor and collect LNG fuel parameters in real time, and transmit the data to the data preprocessing unit via CAN bus transmission. The fuel sensor group includes a pressure sensor group and a liquid level sensor group. The LNG fuel parameters include the pressure value in the tank and the fuel liquid level value; The pressure acquisition unit is used to monitor the pressure value inside the binaural C-type LNG fuel tank in real time based on the pressure sensor group. The pressure sensor group includes a pressure probe, a signal amplifier and a data acquisition card, which respectively collect the absolute value, fluctuation frequency and sampling period of the pressure data; The liquid level acquisition unit is used to collect the liquid level value of the LNG fuel in real time based on the liquid level sensor group. The liquid level sensor group includes a float level gauge, a capacitance level gauge and a signal converter. The LNG fuel parameters include liquid level height, measurement accuracy and temperature compensation value; The methanol parameter acquisition unit is used to establish a communication protocol to connect with the monitoring system of the methanol fuel tank, read the storage parameters of the methanol fuel in the monitoring system in real time, and extract and summarize the solution concentration, temperature value and corrosive index in the storage parameters of the methanol fuel in real time to obtain the operating status 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 is characterized by: The data preprocessing unit is used to filter out interference signals and abnormal values ​​from the collected LNG fuel parameters, methanol fuel parameters and mechanism operation status data, and unify the data formats from different protocol sources. At the same time, the collected fuel parameters and mechanism operation status data are feature-screened through time series interpolation to obtain the effective values ​​of pressure, liquid level and concentration at the switching time.

4. The binaural C-type LNG fuel tank and methanol fuel adaptive switching control system according to claim 1 is characterized by: The switching logic decision module includes a characteristic matching modeling unit, a switching condition judgment unit and a strategy optimization integration unit; The characteristic matching modeling unit includes a dual-fuel model building unit and a dynamic characteristic simulation unit; The dual-fuel model construction unit extracts the structural parameters of the binaural C-type LNG fuel tank and the material properties 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, pipe diameter and heat exchange characteristics of the tank body, and adds typical operating 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 phase change latent heat physical properties of the fuel for the constructed parameter matching model, and at the same time set the starting pressure, response time and stroke range of the switching actuator, and perform steady-state simulation, transient simulation and continuous switching simulation to simulate the switching response of the binaural C-type LNG fuel tank and methanol fuel; The dynamic characteristics simulation unit is used to input the operating parameters of the ship, including speed, load and ambient temperature, and then perform multi-parameter fusion analysis to simulate the pressure field, flow field and temperature field of the switching characteristics of the dual-fuel system under different operating conditions; The switching condition discrimination unit is used to establish a response model of the switching actuator, including the valve group opening pressure, pipeline resistance and sealing performance, and then apply the threshold discrimination equation to simulate the critical conditions of fuel switching. The threshold discrimination technology is used to analyze the action results of the switching actuator and evaluate the pressure fluctuation, flow deviation and time delay of the switching process; The strategy optimization integration unit is used to import the dual-fuel tank model into the switching actuator response model for integration to obtain a joint decision-making model, and then transmit the real-time collected fuel parameters and mechanism operation status data to multi-parameter fusion analysis and threshold discrimination analysis for dynamic simulation, and import the dynamic simulation results into the joint decision-making model, update the adaptation status of the dual-fuel tank and the switching actuator in real time, and display the simulation parameters through the human-computer interaction interface to provide strategy adjustment function.

5. The binaural C-type LNG fuel tank and methanol fuel adaptive switching control system according to claim 1 is characterized in that: The actuator 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 used to construct a pressure balance control algorithm, calculate and obtain the pressure balance threshold of the binaural C-type LNG fuel tank and the methanol fuel tank during the switching process based on the pre-processed fuel parameters, and extract the pressure matching status of the dual fuel tanks; The flow matching control unit is used to construct a flow matching control algorithm, calculate and obtain flow matching values ​​based on the pre-processed fuel parameters, and extract flow change characteristics of the dual fuel pipeline; The valve group synchronization control unit is used to construct a valve group synchronization control algorithm, calculate and obtain the valve group action timing based on the pre-processed mechanism operation status data, and extract the synchronization action degree of the switching actuator.

6. The binaural C-type LNG fuel tank and methanol fuel adaptive switching control system according to claim 5 is characterized by: The pressure balance control unit is used to calculate and obtain the pressure balance threshold by analyzing the real-time data of the pressure sensors of the binaural C-type LNG fuel tank and the methanol fuel tank, combined with the pre-processed temperature compensation value, and extract the pressure matching interface position of the dual fuel tank gas phase space.

7. The binaural C-type LNG fuel tank and methanol fuel adaptive switching control system according to claim 5 is characterized by: The flow matching control unit is used to calculate and obtain the flow matching value by comparing the real-time flow data of the dual-fuel pipeline with the pre-processed pipeline diameter parameters, and extract the flow change rate of the dual-fuel system in the horizontal direction.

8. The binaural C-type LNG fuel tank and methanol fuel adaptive switching control system according to claim 1 is characterized by: The safety redundancy guarantee module includes a multi-index fusion unit and a preliminary risk identification unit; The multi-index fusion unit is used to normalize the obtained switching pressure threshold, flow matching value and valve group action timing, perform correlation calculation to obtain a first safety value, and conduct a comprehensive analysis of the safety of the fuel switching process; The preliminary risk identification unit is used to preset a first safety reference value based on industry standards and historical cases of dual-fuel switching, and perform a preliminary comparative evaluation with the obtained 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 reference value, it indicates that the fuel switching process can continue to execute the switching process safely and reliably under the current operating conditions; when the first safety value is less than or equal to the first safety reference value, it indicates that there is a risk in the fuel switching process under the current operating conditions, and it is necessary to trigger a redundancy mechanism and further safety verification operations.

9. The binaural C-type LNG fuel tank and methanol fuel adaptive switching control system according to claim 1 is characterized by: The state feedback recording module includes a safety index calculation unit and a level recording unit; The safety index calculation unit is used to further analyze the safety of the binaural C-type LNG fuel tank and methanol fuel under different operating parameters and switching execution states in combination with the obtained first safety value, and perform correlation calculation to obtain a second safety value; The level recording unit is used to preset a second safety reference value and the obtained second safety value, conduct a secondary comparative evaluation, further analyze the safety of the fuel switching process after the influence of multiple environmental conditions, and 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 means that the fuel switching process is still safe under the conditions after the comprehensive environmental conditions. At this time, a third-level feedback record is generated to prompt the monitoring personnel to continue to observe the switching process; when the second safety value is equal to the second safety reference value, it means that there is a potential risk in the fuel switching process under the conditions after the comprehensive environmental conditions. At this time, a second-level feedback record is generated to prompt the operation and maintenance personnel to immediately conduct a detailed inspection of the switching system; when the second safety value is less than the second safety reference value, it means that the fuel switching process is significantly dangerous under the conditions after the comprehensive environmental conditions. At this time, a first-level feedback record is generated to automatically trigger the redundant switching mechanism, switch to the backup actuator and notify the technical department to start the emergency response plan.

10. The binaural C-type LNG fuel tank and methanol fuel adaptive switching control system according to claim 8, characterized in that: The safety redundancy protection module also includes a backup actuator switching subunit; The backup actuator switching subunit is used to automatically switch to the pre-configured backup valve group actuator when a preliminary comparison and assessment determines that there is a risk in the switching process, so as to maintain the continuity of fuel supply.

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