Liquefied gas conveying pump integrated control method and system based on industrial internet

Abstract

The present application relates to the technical field of ship fuel delivery control, and discloses a liquefied gas delivery pump integrated control method and system based on an industrial internet, wherein a fuel buffer unit is arranged between a liquefied gas delivery pump and a ship fuel supply unit, the buffer cavity real-time pressure, fuel liquid level and gaseous liquefied gas proportion of the fuel buffer unit are collected in real time through a sensing layer, after denoising, calibration and time sequence alignment preprocessing by a data processing layer, threshold research and judgment are carried out by a control decision layer in combination with the ship sailing working condition and the pump body running working condition of the liquefied gas delivery pump, and an adjustment control instruction adapted to the current working condition is generated, so as to realize self-adaptive and accurate regulation and control of the liquefied gas delivery pump, and effectively solve the problem that in the prior art, under high sea conditions, the ship body sloshing leads to distortion of liquid cargo tank liquid level measurement, and further causes the liquefied gas delivery pump control system to misjudge, resulting in frequent reduction of pump speed or even shutdown, and affecting the stability of main engine fuel supply.

Description

Technical Field

[0001] This invention relates to the field of ship fuel delivery control technology, and more specifically, to an integrated control method and system for liquefied gas delivery pumps based on the Industrial Internet. Background Technology

[0002] In the daily operation of modern large liquefied gas (LPG) powered ships, the stability and accuracy of the fuel supply system are crucial to ensuring safe navigation and efficient operation. This system typically consists of cargo tanks, LPG transfer pumps, a fuel supply unit, and the ship's main engine. An integrated control system ensures the main engine receives the precise amount of fuel. Under normal navigation conditions, the main engine control unit calculates fuel requirements based on speed and load, the LPG transfer pump controller adjusts the pump speed to extract LPG, and the cargo tank level monitoring module provides feedback on the level, forming a closed-loop control system that theoretically can precisely match fuel supply and demand.

[0003] However, when a ship sails in high sea states, the violent rolling and heaving of the hull causes severe sloshing of the liquefied natural gas (LNG) in the cargo tanks, a phenomenon known as the "sloshing effect." This sloshing makes the liquid level in the cargo tanks unstable, and the readings of the level gauges become extremely unstable, with instantaneous readings potentially far below or above the actual average level. This noisy and rapidly changing level information is transmitted to the integrated control system of the LNG transfer pump. The system's control logic has a strict minimum allowable safe threshold for the intake liquid level. Once the detected level falls below this threshold, the system determines that there is a risk of the LNG transfer pump running dry and immediately executes a protection procedure, forcibly reducing the speed of the LNG transfer pump, or even shutting it down. Under severe sloshing conditions, even if the total LNG storage in the cargo tanks is sufficient, the sensors may frequently report false low-level signals below the safe threshold due to instantaneous wave troughs, causing the control system to repeatedly instruct the LNG transfer pump to reduce its speed. Summary of the Invention

[0004] This invention provides an integrated control method and system for liquefied gas transfer pumps based on the Industrial Internet, aiming to solve the problem that in existing liquefied gas-powered ship fuel supply systems, the sloshing effect causes distortion of liquid level sensor information under high sea states, which in turn leads to chaos in the liquefied gas transfer pump control system, affecting the combustion stability of the main engine or even causing shutdown.

[0005] The technical solution of this application is as follows: Firstly, this application discloses an integrated control method for a liquefied gas (LPG) delivery pump based on the Industrial Internet, applied to a ship LPG fuel delivery control system. It achieves adaptive and precise control of the LPG delivery pump based on the hierarchical architecture of the Industrial Internet platform, including: The internal fuel status information of the fuel buffer unit is collected in real time through the perception layer of the industrial internet platform. The internal fuel status information includes the real-time pressure of the buffer chamber of the fuel buffer unit, the fuel level and the proportion of gaseous liquefied gas. The fuel buffer unit is set in series between the outlet of the liquefied gas delivery pump and the inlet of the ship fuel supply unit. The data processing layer of the industrial internet platform performs noise reduction, calibration and time alignment on the internal fuel status information to eliminate abnormal sampling data caused by ship vibration and electromagnetic interference. The pre-processed data is then transmitted to the control and decision layer of the industrial internet platform via the network transmission layer using an encrypted communication protocol. Combining the ship's navigation conditions and the operating conditions of the liquefied gas transfer pump, the pre-processed internal fuel state information is subjected to threshold analysis to generate adjustment and control commands adapted to the current operating conditions. The adjustment and control commands are then sent to the actuator of the liquefied gas transfer pump via the network transmission layer to adjust the operating parameters of the liquefied gas transfer pump and maintain the internal fuel state of the fuel buffer unit within the preset safe operating range. Liquefied gas fuel is supplied to the ship's fuel supply unit through the fuel buffer unit; When the internal fuel status of the fuel buffer unit cannot be maintained within the preset safe operating range, a safety protection command is generated based on the fuel status monitoring results of the main liquid cargo tank and sent to the liquefied gas transfer pump, triggering the safety protection action of the liquefied gas transfer pump.

[0006] Furthermore, the steps for generating adjustment and control commands adapted to the current operating conditions, by combining the ship's navigation conditions and the liquefied gas transfer pump's operating conditions, and by performing threshold analysis on the pre-processed internal fuel state information, include: The motion state information of the ship is obtained through the perception layer; Fuel temperature information inside the fuel buffer unit is obtained through the sensing layer; Based on the ship's motion status information and the fuel temperature information inside the fuel buffer unit, determine whether the current environment is in a state where bubbles are easily generated. When the current environment is in a state where bubbles are easily generated, the target pressure inside the fuel buffer unit is calculated based on the fuel temperature information inside the fuel buffer unit. Based on the internal target pressure, an adjustment control command is generated to maintain the internal pressure of the fuel buffer unit near the internal target pressure.

[0007] Based on this, the steps of generating regulation control commands according to the internal target pressure to maintain the internal pressure of the fuel buffer unit near the internal target pressure include: The operating parameters of the liquefied gas delivery pump are obtained through the sensing layer. These operating parameters include the pump's suction pressure, discharge pressure, and instantaneous flow rate. Calculate the flow rate-pressure differential ratio of the liquefied gas transfer pump based on the operating parameters; The flow rate-pressure differential ratio is compared with the preset pump design performance curve to determine whether there is a performance degradation in the liquefied gas transfer pump; When it is determined that the performance of the liquefied gas delivery pump has deteriorated, the internal target pressure range of the fuel buffer unit is adjusted according to the degree of performance degradation. Based on the adjusted internal target pressure range, corresponding regulation and control commands are generated and sent to the liquefied gas delivery pump to maintain the internal pressure of the fuel buffer unit near the adjusted internal target pressure range.

[0008] Furthermore, the step of adjusting the internal target pressure range of the fuel buffer unit according to the degree of performance degradation includes: The ship's maneuvering commands are obtained through the perception layer; The current fuel consumption rate of the ship's main engine is obtained through the perception layer; Determine whether the ship is in a high-load maneuvering state based on the maneuvering instructions and the current fuel consumption rate of the ship's main engine; When a ship is under high load maneuvering conditions, the fuel consumption of the ship's main engine is predicted for a future period of time. Based on the predicted fuel consumption, increase the upper and lower limits of the internal target pressure range of the fuel buffer unit; The corresponding adjustment and control commands are generated and sent to the liquefied gas delivery pump so that the internal pressure of the fuel buffer unit reaches the target range after the increase.

[0009] Furthermore, the steps of generating corresponding adjustment and control commands and issuing them to the liquefied gas delivery pump to bring the internal pressure of the fuel buffer unit to the increased target range include: Vibration signals from the liquefied gas delivery pump are obtained through the sensing layer; The fuel flow pulsation information at the outlet of the liquefied gas delivery pump is obtained through the sensing layer; Based on the vibration signal of the LPG transfer pump and the fuel flow pulsation information at the LPG transfer pump outlet, determine whether the LPG transfer pump is in an unstable operating state. When the LPG delivery pump is in an unstable operating state, the speed regulation rate of the LPG delivery pump is adjusted according to the degree of unstable operating state, and corresponding regulation control commands are generated. Send a warning signal to the ship's fuel supply unit so that the ship's fuel supply unit reduces the fuel extraction rate within a preset time.

[0010] Furthermore, based on the vibration signal of the LPG transfer pump and the fuel flow pulsation information at the LPG transfer pump outlet, the steps to determine whether the LPG transfer pump is operating in an unstable state include: The ship's speed information is obtained through the perception layer; Information on changes in the ship's attitude is obtained through the perception layer; Based on the navigation speed information and attitude change information, determine whether the ship is in a state of instantaneous large wave impact; When a ship is subjected to instantaneous large wave impact, the expected impact of the ship's structural vibration on the vibration signal of the liquefied gas transfer pump is calculated based on the ship's attitude change information. The expected impact is subtracted from the vibration signal of the liquefied gas transfer pump to obtain the vibration signal of the liquefied gas transfer pump itself; Based on the vibration signal of the LPG transfer pump itself and the fuel flow pulsation information at the LPG transfer pump outlet, it can be determined whether the LPG transfer pump is in an unstable operating state.

[0011] Furthermore, the step of sending a warning signal to the ship's fuel supply unit to reduce the fuel extraction rate within a preset time includes: The navigation status information of the ship is obtained through the perception layer. The navigation status information includes the ship's heading, speed and current sea state data. The current fuel consumption rate and power output information of the ship's main engine are obtained through the perception layer. Based on navigation status information and the power output information of the ship's main engine, predict the maximum possible fuel demand of the ship's main engine in the near future. Compare the projected maximum fuel demand with the current fuel extraction rate that the ship's fuel supply unit can provide. When the predicted maximum fuel demand exceeds the fuel extraction rate that the ship's fuel supply unit can currently provide, an instruction signal is sent to the ship's fuel supply unit. The instruction signal contains the suggested adjustment range and duration of the fuel extraction rate. The instruction signal is used to cause the ship's fuel supply unit to reduce the fuel extraction rate within a preset time. Calculate the amount of additional fuel that the fuel buffer unit needs to be replenished based on the difference between the maximum fuel demand and the current available fuel extraction rate. The corresponding adjustment and control commands are generated and sent to the liquefied gas delivery pump to increase the internal pressure of the fuel buffer unit, thereby replenishing the additional fuel within a preset time.

[0012] Furthermore, based on navigation status information and the power output information of the ship's main engine, the steps for predicting the maximum possible fuel demand of the ship's main engine over a future period include: Information about the ship's navigation area is obtained through the perception layer; Based on navigation area information, determine whether the vessel is navigating in ice-covered or polar waters; When the ship is sailing in ice-covered or polar waters, it obtains current ambient temperature information and fuel temperature information inside the fuel buffer unit through the sensing layer. Based on the current ambient temperature information and the fuel temperature information inside the fuel buffer unit, obtain the density correction parameters and calorific value correction parameters of liquefied gas fuel under the current low temperature conditions. Based on the density correction parameter and the calorific value correction parameter, the power output information of the ship's main engine is corrected to obtain the corrected power output information; Based on navigation status information and corrected power output information, the maximum fuel demand of the ship's main engine is predicted for a period of time in the future.

[0013] Further steps for remote cloud monitoring: The real-time collected internal fuel status information, LPG delivery pump operating parameters, and generated adjustment and control commands are uploaded to the cloud monitoring platform via the network transmission layer. The cloud monitoring platform stores and analyzes the received data to generate an LPG delivery pump operating status assessment report. When the operating status assessment report indicates that the LPG delivery pump has an abnormal trend, the cloud monitoring platform sends an early warning message to the remote monitoring terminal.

[0014] Secondly, this application also discloses an integrated control system for a liquefied gas delivery pump based on the Industrial Internet, used to execute the above-mentioned integrated control method. The system includes: The sensing layer is used to collect real-time information on the internal fuel status of the fuel buffer unit, the ship's motion and navigation status, the operating parameters of the LPG transfer pump, and environmental parameters; the fuel buffer unit is connected in series between the outlet of the LPG transfer pump and the inlet of the ship's fuel supply unit. The network transport layer is used to transmit data between the sensing layer, the control decision layer, and the actuators of the liquefied gas delivery pump; The control decision layer is used to perform threshold analysis based on the internal fuel status information collected by the perception layer, combined with the ship's navigation conditions and the pump's operating conditions, to generate adjustment control commands adapted to the current operating conditions. These commands are then sent to the actuators of the liquefied gas transfer pump via the network transmission layer to adjust the pump's operating parameters and maintain the internal fuel status of the fuel buffer unit within a preset safe operating range. Furthermore, when the internal fuel status of the fuel buffer unit cannot be maintained within the preset safe operating range, the layer generates safety protection commands based on the fuel status monitoring results of the main cargo tank. The actuator of the liquefied gas transfer pump is used to receive and execute regulation control commands and safety protection commands; The cloud-based monitoring platform is used to receive, store, and analyze internal fuel status information, operating parameters of the LPG transfer pump, and adjustment and control commands, and generate an operational status assessment report for the LPG transfer pump.

[0015] This application discloses an integrated control method and system for liquefied gas transfer pumps based on the Industrial Internet. By introducing the layered architecture of the Industrial Internet platform, adaptive and precise control of the liquefied gas transfer pump is achieved. This effectively solves the problem in the prior art where, under high sea states, the swaying of the ship causes distortion in the liquid level measurement of the cargo tank, which in turn leads to misjudgment of the liquefied gas transfer pump control system, resulting in frequent reduction of pump speed or even shutdown, affecting the stability of the main engine fuel supply. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating an integrated control method for a liquefied gas delivery pump based on the Industrial Internet, provided in an embodiment of the present invention. Figure 2 This is a flowchart of a method for generating adjustment and control commands adapted to the current operating conditions, provided by an embodiment of the present invention. Figure 3 This is a schematic diagram of the structure of an integrated control system for a liquefied gas delivery pump based on the Industrial Internet, provided in an embodiment of the present invention. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Reference Figure 1 , Figure 1 This is a flowchart illustrating an integrated control method for a liquefied gas transfer pump based on the Industrial Internet, provided in an embodiment of the present invention. Applied to a ship's liquefied gas fuel transfer control system, it achieves adaptive and precise control of the liquefied gas transfer pump based on the layered architecture of an Industrial Internet platform, including: S11 collects the internal fuel status information of the fuel buffer unit in real time through the perception layer of the industrial internet platform. The internal fuel status information includes the real-time pressure of the buffer chamber of the fuel buffer unit, the fuel level and the proportion of gaseous liquefied gas. The fuel buffer unit is connected in series between the outlet of the liquefied gas delivery pump and the inlet of the ship fuel supply unit. S12, through the data processing layer of the industrial internet platform, performs noise reduction, calibration and time alignment processing on the internal fuel status information to eliminate abnormal sampling data caused by ship vibration and electromagnetic interference, and transmits the pre-processed data to the control decision layer of the industrial internet platform through the network transmission layer of the industrial internet platform using an encrypted communication protocol. S13, combining the ship's navigation conditions and the pump's operating conditions, performs threshold analysis on the pre-processed internal fuel state information, generates adjustment and control commands adapted to the current operating conditions, and sends the adjustment and control commands to the actuator of the liquefied gas transfer pump via the network transmission layer to adjust the operating parameters of the liquefied gas transfer pump and maintain the internal fuel state of the fuel buffer unit within the preset safe operating range. S14, liquefied gas fuel is supplied to the ship's fuel supply unit through the fuel buffer unit; S15: When the internal fuel status of the fuel buffer unit cannot be maintained within the preset safe operating range, a safety protection command is generated based on the fuel status monitoring results of the main liquid cargo tank and sent to the liquefied gas transfer pump, triggering the safety protection action of the liquefied gas transfer pump.

[0019] This application aims to achieve adaptive and precise control of liquefied gas delivery pumps through the layered architecture of an industrial internet platform, effectively solving the problem of unstable fuel supply caused by sensor information distortion due to environmental factors in existing technologies.

[0020] To better understand the technical solution proposed in this application, some key terms and implementation environments involved are first explained. An industrial internet platform is an infrastructure integrating multiple technologies such as sensing, networking, data, security, and applications. Its layered architecture typically includes a sensing layer, a network transmission layer, a data processing layer, and a control decision layer. The sensing layer is mainly responsible for data acquisition, such as acquiring real-time operational status information of the physical world through various sensors. The network transmission layer is responsible for reliable data transmission, ensuring the secure and efficient flow of data between different layers and devices. The data processing layer preprocesses the acquired raw data, such as denoising, calibration, and timing alignment, to improve data quality and usability. The control decision layer generates corresponding control commands based on the processed data, combined with preset control logic and algorithms. A liquefied gas transfer pump is a core device in a ship's fuel supply system, responsible for transporting liquefied gas fuel from the cargo tanks to the ship's fuel supply unit. The fuel buffer unit is an intermediate storage tank connected in series between the outlet of the LPG transfer pump and the inlet of the ship's fuel supply unit. Its main function is to stabilize fuel supply pressure and flow, cope with instantaneous demand fluctuations, and provide a relatively stable suction environment for the LPG transfer pump. The ship's fuel supply unit is responsible for vaporizing the LPG fuel and delivering it to the ship's main engine.

[0021] The core of the integrated control method for liquefied gas transfer pumps based on the Industrial Internet proposed in this application lies in achieving adaptive and precise regulation of the liquefied gas transfer pumps through refined data processing and intelligent control decisions.

[0022] Specifically, at the sensing layer, it is necessary to collect real-time information on the internal fuel status of the fuel buffer unit. This information forms the basis for subsequent control decisions. For example, high-precision pressure sensors can be used to monitor the pressure in the fuel buffer unit's buffer chamber in real time, capacitive or ultrasonic level gauges can be used to measure the fuel level in real time, and gas composition analyzers can be used to detect the proportion of gaseous liquefied gas in the buffer chamber in real time. These sensors can be connected to the sensing layer of the industrial internet platform via wired or wireless means, uploading the collected raw data to the data processing layer.

[0023] At the data processing layer, preprocessing the internal fuel status information collected by the sensing layer is crucial. Due to vibrations and electromagnetic interference during ship navigation, the raw sampled data may contain significant noise and outliers. Therefore, denoising, calibration, and time-series alignment are necessary. For example, algorithms such as moving average filtering and Kalman filtering can be used to denoise the data and eliminate the influence of random noise. Calibration involves comparing the data with standard reference values ​​to correct sensor measurement biases. Time-series alignment ensures that data from different sensors maintain temporal consistency for accurate correlation analysis. The quality and reliability of the preprocessed data are significantly improved. Subsequently, this preprocessed data is transmitted to the control decision layer via the network transmission layer using encrypted communication protocols to ensure data security and integrity during transmission.

[0024] At the control decision level, combining the ship's navigation conditions and the LPG transfer pump's operating conditions to perform threshold analysis on the pre-processed internal fuel state information is a crucial step in generating adjustment and control commands adapted to the current conditions. For example, the current navigation conditions can be determined based on the ship's speed, heading, and sea state, while the pump's operating conditions can be determined based on the LPG transfer pump's speed, current, and vibration. Then, the real-time pressure, fuel level, and proportion of gaseous LPG in the fuel buffer unit's buffer chamber are compared with preset safe operating ranges. If the internal fuel state deviates from the preset range, corresponding adjustment and control commands are generated based on the degree and direction of the deviation. For example, when the buffer chamber pressure is too low, the LPG transfer pump can be instructed to increase its speed; when the fuel level is too high, the LPG transfer pump can be instructed to decrease its speed. These adjustment and control commands are transmitted via the network transmission layer to the LPG transfer pump's actuators, such as frequency converters or servo motor controllers, to adjust the LPG transfer pump's operating parameters, such as speed or flow rate, thereby maintaining the internal fuel state of the fuel buffer unit within the preset safe operating range.

[0025] In addition, the fuel buffer unit, while maintaining a stable internal fuel condition, is also responsible for supplying liquefied petroleum gas (LPG) fuel to the ship's fuel supply unit. This ensures that the ship's main engine receives a continuous and stable fuel supply.

[0026] In certain extreme cases, such as when the internal fuel status of the fuel buffer unit cannot be maintained within the preset safe operating range by adjusting the operating parameters of the LPG transfer pump, a higher level of safety protection mechanism needs to be activated. In this situation, the control decision-making level will generate a safety protection command based on the fuel status monitoring results of the main cargo tank and send it to the LPG transfer pump, triggering its safety protection action. For example, when the liquid level in the main cargo tank is too low or there is severe sloshing causing difficulty in suction, the safety protection command can force the LPG transfer pump to shut down or significantly reduce its speed to prevent the pump from running dry and being damaged or further deteriorating the fuel supply situation.

[0027] The integrated control method for liquefied gas delivery pumps based on the Industrial Internet proposed in this application achieves adaptive and precise control of the liquefied gas delivery pumps by introducing the hierarchical architecture of the Industrial Internet platform, effectively solving the problem of unstable fuel supply caused by sensor information distortion due to environmental factors in the prior art.

[0028] refer to Figure 2 , Figure 2 This is a flowchart of a method for generating adjustment and control commands adapted to the current operating conditions, provided by an embodiment of the present invention. S13 includes: S131, Obtain the ship's motion status information through the perception layer; S132, obtain fuel temperature information inside the fuel buffer unit through the sensing layer; S133, based on the ship's motion status information and the fuel temperature information inside the fuel buffer unit, determine whether the current environment is in a state where bubbles are easily generated; S134, When the current environment is in a state where bubbles are easily generated, calculate the internal target pressure of the fuel buffer unit based on the fuel temperature information inside the fuel buffer unit; S135 generates a regulation control command based on the internal target pressure to maintain the internal pressure of the fuel buffer unit near the internal target pressure.

[0029] Specifically, a ship's motion state information can be understood as the various dynamic changes a ship experiences during navigation, such as attitude information like roll, pitch, heave, and bow, as well as motion parameters like acceleration and angular velocity. This information can be acquired in real time by the perception layer through the ship's own inertial measurement unit, GPS, or other marine sensors. Its purpose is to assess the ship's current dynamic environment and determine whether there are external factors that could cause severe fuel sloshing or pressure fluctuations.

[0030] The fuel temperature information within the fuel buffer unit refers to the real-time temperature of the liquefied petroleum gas (LPG) fuel within the unit. The saturated vapor pressure of LPG fuel is closely related to temperature; increased temperature leads to increased saturated vapor pressure, thereby increasing the likelihood of bubble formation. This temperature information is also collected by the sensing layer through temperature sensors installed inside the fuel buffer unit. Its purpose is to directly reflect the physical state of the fuel, providing crucial information for assessing the risk of bubble formation.

[0031] In practical applications, determining whether the current environment is conducive to bubble formation involves comprehensively analyzing the ship's motion status information and the fuel temperature information inside the fuel buffer unit to assess the risk of flashing or cavitation of the liquefied gas fuel under current conditions. For example, when the ship is in a state of violent rolling (motion status information indicates high roll or pitch amplitude) and the fuel temperature is close to or higher than its saturation temperature at the current pressure, it can be determined that the environment is conducive to bubble formation. The purpose is to provide early warning and take measures to avoid the adverse effects of bubbles on pump operation.

[0032] When the current environment is determined to be in a state where bubbles are easily generated, the internal target pressure of the fuel buffer unit is calculated based on the fuel temperature information inside the unit. Specifically, this calculation process can be based on the physical properties of the liquefied petroleum gas (LPG) fuel, such as its vapor pressure curve, combined with the current fuel temperature, to determine a minimum safe pressure value that can effectively suppress bubble formation without excessively increasing the pump load. The purpose is to provide a scientifically reasonable pressure benchmark for subsequent regulation and control.

[0033] Furthermore, a regulating control command is generated based on the internal target pressure to maintain the internal pressure of the fuel buffer unit near the internal target pressure. This regulating control command may include adjusting parameters such as the rotational speed, flow rate, or outlet valve opening of the LPG delivery pump to dynamically adjust or maintain the internal pressure of the fuel buffer unit near the calculated internal target pressure. The purpose is to effectively prevent the formation and accumulation of bubbles through precise pressure control, thereby ensuring the stable operation of the LPG delivery pump.

[0034] This application's solution proactively identifies potential bubble formation risks during liquefied gas (LPG) delivery by introducing real-time sensing and analysis of ship motion status information and fuel temperature information within the fuel buffer unit. When the system determines that the current environment is prone to bubble formation, it indicates that the LPG delivery pump faces the risk of cavitation or operational instability. At this point, by accurately calculating the target internal pressure of the fuel buffer unit based on fuel temperature information and generating adjustment control commands accordingly, the operating parameters of the LPG delivery pump can be dynamically adjusted to maintain the internal pressure of the fuel buffer unit at a level that effectively suppresses bubble formation. This proactive, risk-prediction-based pressure regulation mechanism reduces bubble generation at its source, thereby preventing pump performance degradation, increased vibration, or even damage caused by bubbles.

[0035] In some preferred embodiments, it is assumed that a liquefied gas (LPG) fuel-powered vessel is experiencing severe sea conditions, such as encountering strong winds and waves causing severe rolling and pitching. Simultaneously, due to high ambient temperatures or prolonged fuel residence time within the buffer unit, the sensing layer detects a slight increase in fuel temperature inside the fuel buffer unit. At this time, the control decision layer receives information about the vessel's severe motion and the increased fuel temperature. Based on preset judgment logic, the system identifies that the current environment is conducive to bubble formation. To prevent cavitation in the LPG delivery pump, the control decision layer calculates a new internal target pressure, slightly higher than the current saturated vapor pressure, based on the current fuel temperature and the LPG fuel vapor pressure curve. Subsequently, the system generates corresponding adjustment control commands, such as instructing the LPG delivery pump to slightly increase its speed or adjust the outlet valve opening, to increase the internal pressure of the fuel buffer unit and maintain it near the new internal target pressure. In this way, even under the combined effects of severe sea conditions and high fuel temperatures, bubble formation inside the fuel buffer unit can be effectively suppressed, thereby ensuring the smooth and efficient operation of the LPG delivery pump and avoiding potential equipment damage and fuel supply interruption risks.

[0036] This application further proposes the following steps for generating regulation control commands based on the internal target pressure to maintain the internal pressure of the fuel buffer unit near the internal target pressure: The operating parameters of the liquefied gas delivery pump are obtained through the sensing layer. The operating parameters include the suction pressure, discharge pressure and instantaneous flow rate of the liquefied gas delivery pump. Calculate the flow rate-pressure differential ratio of the liquefied gas transfer pump based on the operating parameters; The flow rate-pressure differential ratio is compared with the preset pump design performance curve to determine whether there is a performance degradation in the liquefied gas transfer pump; When it is determined that the performance of the liquefied gas delivery pump has deteriorated, the internal target pressure range of the fuel buffer unit is adjusted according to the degree of performance degradation. Based on the adjusted internal target pressure range, corresponding regulation and control commands are generated and sent to the liquefied gas delivery pump to maintain the internal pressure of the fuel buffer unit near the adjusted internal target pressure range.

[0037] Specifically, the sensing layer is configured to acquire the operating parameters of the LPG transfer pump in real time. These parameters are key indicators for evaluating the pump's operating status, including the pump's suction pressure, discharge pressure, and instantaneous flow rate. The suction pressure reflects the fuel pressure at the pump inlet, the discharge pressure represents the fuel pressure at the pump outlet, and the instantaneous flow rate indicates the amount of fuel delivered by the pump per unit time. These parameters can be accurately measured using pressure sensors and flow meters installed on the pump's inlet and outlet pipes.

[0038] After obtaining the aforementioned operating parameters, the data processing layer or control decision layer is configured to calculate the flow-pressure differential ratio of the liquefied gas transfer pump. The flow-pressure differential ratio is an important indicator for measuring pump efficiency and performance, and it is typically calculated as the ratio of instantaneous flow rate to the difference between discharge pressure and suction pressure (i.e., pressure differential). This ratio reflects the pump's actual delivery capacity under a given pressure differential.

[0039] In practical applications, the calculated flow-pressure differential ratio is compared with a pre-defined pump design performance curve. This curve, provided by the manufacturer based on pump design parameters and test data, describes the theoretical performance of the pump under different operating conditions, such as the relationship between flow rate, head, and efficiency. By comparing the real-time calculated flow-pressure differential ratio with this curve, it can be determined whether the actual performance of the liquefied gas transfer pump deviates from its design performance, thus identifying any performance degradation. For example, if the actual flow-pressure differential ratio is significantly lower than the theoretical value on the design curve under the same operating conditions, it indicates that the pump's performance may have degraded.

[0040] Furthermore, when the performance of the LPG transfer pump is determined to be degraded, the control decision-making level will dynamically adjust the internal target pressure range of the fuel buffer unit according to the degree of performance degradation. The degree of performance degradation can be quantified by the deviation of the actual flow-pressure difference ratio from the design curve. For example, the greater the deviation, the greater the degradation. The purpose of adjusting the internal target pressure range is to ensure the stable operation of the fuel buffer unit by appropriately widening or tightening the target pressure range even when pump performance deteriorates, while avoiding excessive burden or further damage to the pump body. For example, in the case of slight degradation, the upper and lower limits of the target pressure can be fine-tuned; in the case of severe degradation, a larger adjustment may be needed, or even considering reducing the overall target pressure level to extend the pump's service life.

[0041] Therefore, based on the adjusted internal target pressure range, the control decision layer will generate corresponding adjustment control commands and send them to the actuators of the LPG delivery pump via the network transmission layer. These commands are designed to precisely control the operating parameters of the LPG delivery pump (such as speed and valve opening) so that the internal pressure of the fuel buffer unit can be maintained near the adjusted internal target pressure range.

[0042] This application's solution effectively addresses the inaccurate or unstable control issues that may arise in existing solutions when pump performance declines by introducing a monitoring and response mechanism for the performance degradation of the LPG transfer pump itself. Through this technical solution, this application significantly improves the adaptability and robustness of the integrated control method for LPG transfer pumps. Compared to basic solutions that adjust solely based on fuel status information and environmental conditions, this solution, by monitoring and responding to the performance degradation of the LPG transfer pump in real time, avoids decreased control accuracy and system instability caused by pump aging or wear.

[0043] In some preferred embodiments, a specific example is given below. Suppose that after long-term operation, the performance of the liquefied gas transfer pump of a liquefied gas fuel-powered ship begins to decline slightly due to impeller wear. Without the solution of this application, the control system may still attempt to maintain the internal pressure of the fuel buffer unit at a high fixed target value. This may cause the liquefied gas transfer pump to operate under high load for a long time, or even run dry or experience cavitation, further aggravating pump wear and potentially failing to effectively reach the target pressure.

[0044] However, when using the scheme of this application, the sensing layer continuously acquires the suction pressure, discharge pressure, and instantaneous flow rate of the liquefied gas transfer pump. For example, when the suction pressure is 0.5 MPa, the discharge pressure is 1.0 MPa, and the instantaneous flow rate is 50 m³ / h, the system calculates the current flow-pressure difference ratio. Subsequently, this flow-pressure difference ratio is compared with a preset pump design performance curve. If it is found that the current flow-pressure difference ratio has decreased compared with the theoretical value of the design curve under the same operating conditions (e.g., the theoretical flow-pressure difference ratio should be 60 m³ / h), the system will determine that the liquefied gas transfer pump has performance degradation.

[0045] Depending on the degree of performance degradation—for example, if the degradation is quantified as 15%—the control decision layer will adjust the internal target pressure range of the fuel buffer unit accordingly. For instance, the original target pressure range might have been 0.8 MPa to 0.9 MPa, but it might now be adjusted to 0.75 MPa to 0.85 MPa to suit the pump's current capacity. Based on this adjusted target pressure range, the system generates new regulatory control commands, such as reducing the pump speed or adjusting valve opening, and sends them to the actuators of the LPG delivery pump. In this way, even if the pump's performance degrades, the internal pressure of the fuel buffer unit can still be stably maintained near the new, more realistic target pressure range, thereby ensuring the continuity and stability of fuel supply while avoiding excessive load on the degraded pump body and extending its service life.

[0046] In the above embodiments, although the impact of LPG transfer pump performance degradation on the target pressure range inside the fuel buffer unit has been considered and adjustments have been made accordingly to maintain internal pressure stability, during actual ship navigation, especially when the ship is under high-load maneuvering conditions, the main engine's fuel demand may increase sharply in a short period of time. If the target pressure is adjusted solely based on pump performance degradation, it may not be able to respond promptly and adequately to such sudden and intense changes in fuel demand, leading to internal pressure fluctuations in the fuel buffer unit and even the risk of insufficient fuel supply.

[0047] In this regard, this application further proposes that the steps for adjusting the internal target pressure range of the fuel buffer unit according to the degree of performance degradation include: The ship's maneuvering commands are obtained through the perception layer; The current fuel consumption rate of the ship's main engine is obtained through the perception layer; Determine whether the ship is under high load maneuvering conditions based on the maneuvering instructions and the current fuel consumption rate of the ship's main engine; When a ship is under high load maneuvering conditions, the fuel consumption of the ship's main engine is predicted for a future period of time. Based on the predicted fuel consumption, increase the upper and lower limits of the internal target pressure range of the fuel buffer unit; The corresponding adjustment and control commands are generated and sent to the liquefied gas delivery pump so that the internal pressure of the fuel buffer unit reaches the target range after the increase.

[0048] Specifically, maneuvering commands refer to instructions issued from the ship's bridge to control the ship's course, speed, and steering, etc., and can be obtained from the ship's integrated navigation system or automated control system through the sensing layer. The ship's main engine's current fuel consumption rate refers to the amount of liquefied petroleum gas fuel consumed per unit time under the current operating conditions, and can be obtained from the main engine fuel flow meter or main engine control system through the sensing layer.

[0049] Determining whether a vessel is in a high-load maneuvering state can be understood as identifying operations requiring significant power output based on a comprehensive analysis of maneuvering commands (e.g., frequent and large changes in rudder angle or speed within a short period) and fuel consumption rates (e.g., fuel consumption rates significantly higher than average or rising rapidly). For example, when a vessel is berthing, unberthing, performing emergency avoidance maneuvers, navigating narrow waterways, or maintaining its course in adverse sea conditions, it is typically considered to be in a high-load maneuvering state.

[0050] In practical applications, when a ship is under high-load maneuvering conditions, it is necessary to predict the fuel consumption of the ship's main engine over a future period. This prediction can be based on historical data, current operating conditions, maneuvering commands, and ship dynamics models. For example, machine learning algorithms can be used to train historical navigation data to predict the trend and total fuel demand over the next few minutes or tens of minutes under specific maneuvering commands.

[0051] Therefore, based on the predicted fuel consumption, the upper and lower limits of the target pressure range within the fuel buffer unit are increased. The purpose is to preemptively increase the internal pressure of the fuel buffer unit to ensure a sufficient and stable supply of liquefied petroleum gas (LPG) fuel during peak periods of main engine fuel demand. For example, if it is predicted that fuel demand will increase by 20% within the next 5 minutes, both the upper and lower limits of the target pressure range can be increased by a preset percentage or a fixed value.

[0052] Furthermore, corresponding adjustment and control commands are generated and sent to the LPG delivery pump to bring the internal pressure of the fuel buffer unit to the increased target range. These commands typically instruct the LPG delivery pump to increase its speed or adjust other operating parameters, thereby increasing the fuel delivery rate and rapidly raising the internal pressure of the fuel buffer unit to a new, higher target range.

[0053] This application's solution dynamically identifies whether a ship has entered a high-load maneuvering state by acquiring real-time ship handling commands and main engine fuel consumption rates. It is precisely because the ship's main engine fuel demand is sudden and intense under high-load maneuvering conditions that traditional pressure adjustment mechanisms based on pump performance degradation may lag behind. This solution predicts fuel consumption over a future period, anticipating fuel demand growth trends and proactively raising the upper and lower limits of the internal target pressure range of the fuel buffer unit. This proactive adjustment mechanism allows the LPG transfer pump to respond in advance to impending high fuel demand by generating and issuing corresponding adjustment and control commands, prompting the LPG transfer pump to increase its delivery capacity. This raises the internal pressure of the fuel buffer unit to a higher, safer level before the peak fuel demand period, effectively preventing sudden pressure drops or system instability due to insufficient fuel supply.

[0054] At this point, the perception layer acquires these frequent maneuvering commands and the current fuel consumption rate of the main engine in real time. The control decision layer uses this information to determine whether the ship is under high-load maneuvering conditions. For example, if the system detects that the engine telegraph command changes from "slow forward" to "full speed reverse" in a short period of time, and the fuel consumption rate spikes from 100 kg / h to 300 kg / h within a few seconds, the system will identify it as high-load maneuvering.

[0055] Once a high-load operating condition is identified, the control decision-making layer will immediately activate the predictive model, combining current operating conditions and historical data to predict the maximum fuel consumption of the main engine in the next two minutes. This assumes the prediction indicates that the total fuel demand in the next two minutes will increase by 50% compared to normal cruise conditions.

[0056] Based on this prediction, the control decision layer will correspondingly increase the upper and lower limits of the internal target pressure range of the fuel buffer unit. For example, if the original target pressure range is 5.0-5.2 bar, the system may adjust it to 5.5-5.7 bar. Subsequently, the system will generate a regulation control command, such as instructing the LPG delivery pump to increase its speed from 1500 RPM to 1800 RPM, and send this command to the actuator of the LPG delivery pump via the network transmission layer.

[0057] Upon receiving the command, the LPG transfer pump immediately increases its speed, increasing the amount of LPG fuel delivered. This rapidly raises the internal pressure of the fuel buffer unit, bringing it to a new and higher target range. In this way, even if the main engine suddenly requires a large amount of fuel during berthing, the fuel buffer unit can provide sufficient and stable high-pressure LPG, ensuring smooth operation of the main engine and avoiding power interruptions or instability due to insufficient fuel supply.

[0058] In some embodiments described above, this application proposes a technical solution to predict fuel consumption based on the ship's high-load maneuvering state and increase the internal target pressure range of the fuel buffer unit to meet future fuel demands. However, in actual operation, when the LPG transfer pump is required to increase its operating parameters to achieve a higher internal target pressure, it may face the risk of unstable operation, such as increased vibration or flow pulsation due to factors like changes in operating conditions, pump wear, or system resonance. This could affect the stability of fuel delivery and the service life of the pump equipment. If these problems are not addressed, it may lead to fuel supply interruption or equipment damage, thereby affecting the normal operation of the ship. To address this, this application further proposes a method to optimize the above-mentioned regulation and control command generation process. By monitoring the operating status of the LPG transfer pump in real time, it ensures that the stable operation of the LPG transfer pump is maintained while increasing the internal pressure of the fuel buffer unit, and coordinates control with the ship's fuel supply unit.

[0059] In this regard, this application further proposes the following steps for generating corresponding adjustment and control commands and issuing them to the liquefied gas delivery pump so that the internal pressure of the fuel buffer unit reaches the increased target range: Vibration signals from the liquefied gas delivery pump are obtained through the sensing layer; The fuel flow pulsation information at the outlet of the liquefied gas delivery pump is obtained through the sensing layer; Based on the vibration signal of the LPG transfer pump and the fuel flow pulsation information at the LPG transfer pump outlet, determine whether the LPG transfer pump is in an unstable operating state. When the LPG delivery pump is in an unstable operating state, the speed regulation rate of the LPG delivery pump is adjusted according to the degree of unstable operating state, and corresponding regulation control commands are generated. Send a warning signal to the ship's fuel supply unit so that the ship's fuel supply unit reduces the fuel extraction rate within a preset time.

[0060] Specifically, the vibration signal of the LPG transfer pump refers to the mechanical vibration data collected in real time by a high-precision vibration sensor installed on or near the pump body. Its purpose is to reflect the operating status of internal pump components (such as bearings and impellers) and whether abnormal vibration or resonance occurs. The fuel flow pulsation information at the LPG transfer pump outlet refers to the periodic fluctuations in fuel flow or pressure detected at the pump outlet by a flow meter or pressure sensor. Its purpose is to indicate the pump's delivery stability, such as whether there are problems like cavitation, fluid separation, or discontinuous pumping.

[0061] Specifically, determining whether the liquefied gas (LPG) transfer pump is operating unstablely based on its vibration signal and the fuel flow pulsation information at the pump outlet can be understood as performing spectral analysis and time-domain feature extraction on the collected vibration signal, and comparing it with the amplitude and frequency characteristics of the flow pulsation data against a preset normal operating threshold or model to identify abnormal vibration patterns or flow fluctuations, thereby determining whether the pump is operating unstablely. For example, when a specific frequency component of the vibration signal exceeds a safety threshold, or the amplitude of the flow pulsation increases abnormally, it can be determined that the pump is operating unstablely.

[0062] In practical applications, when the LPG delivery pump is determined to be operating in an unstable state, the pump's speed regulation rate is adjusted according to the severity of the instability, and corresponding adjustment control commands are generated. This means that the system dynamically adjusts the pump's speed change rate based on the severity of the instability. For example, if the instability is slight, the speed increase rate can be appropriately slowed down; if the instability is severe, the speed may need to be immediately reduced or fine-tuned to prevent further deterioration. The aim is to quickly suppress the unstable state and restore stable pump operation through precise control of the pump's operating parameters.

[0063] Furthermore, sending a warning signal to the ship's fuel supply unit to reduce its fuel extraction rate within a preset time aims to achieve coordinated optimization of the entire fuel supply system. When the LPG transfer pump experiences instability, its gas supply capacity to the fuel buffer unit may be affected. If the ship's fuel supply unit continues to extract fuel at a high rate under these circumstances, the internal pressure of the fuel buffer unit may drop too quickly, potentially triggering safety protection mechanisms. By sending a warning signal and coordinating a reduction in the extraction rate, time can be allocated for the LPG transfer pump to adjust, preventing system cascading effects and ensuring the continuity and safety of the fuel supply.

[0064] This application's solution, by real-time monitoring of the vibration signals and outlet fuel flow pulsation information of the liquefied gas (LPG) transfer pump, can promptly and accurately perceive the pump's operational stability. It is precisely because of the acquisition of these key operating parameters that the system can provide early warning and judgment of potential pump instability. Once an instability is identified, the system does not simply maintain or increase the pressure, but intelligently adjusts the LPG transfer pump's speed regulation rate according to the degree of instability. This effectively suppresses pump vibration and flow pulsation while ensuring fuel supply capacity, preventing equipment damage or performance degradation. Simultaneously, by sending early warning signals to the ship's fuel supply unit and coordinating its reduction of the fuel extraction rate, this application achieves linked control between the fuel delivery system and the fuel supply unit, avoiding systemic risks caused by problems in a single link and ensuring the overall stability and reliability of LPG fuel delivery under complex operating conditions.

[0065] In some preferred embodiments, it is assumed that the ship is undergoing high-load maneuvers such as high-speed navigation or emergency avoidance, leading to a sharp increase in the ship's main engine fuel consumption rate. According to the above technical solution, the system predicts a significant increase in fuel demand in the near future and therefore instructs the LPG transfer pump to increase the internal target pressure range of the fuel buffer unit. During this process, the sensing layer acquires the vibration signal and outlet fuel flow pulsation information of the LPG transfer pump in real time. For example, when the pump speed is increased, the vibration sensor detects an abnormal increase in the pump body vibration frequency and amplitude, and the flow pulsation information shows intensified fuel flow fluctuations. Based on this, the system determines that the LPG transfer pump is operating in an unstable state. The control decision layer will, based on the severity of the vibration and pulsation, for example, if the vibration amplitude exceeds a preset threshold of 10%, reduce the speed regulation rate of the LPG transfer pump from 50 revolutions per second to 20 revolutions per second for a smooth transition. Simultaneously, the system will send a warning signal to the ship's fuel supply unit, suggesting that it reduce the fuel extraction rate by 15% within the next 30 seconds to avoid a sudden drop in internal pressure of the fuel buffer unit. In this way, the operational stability of the LPG transfer pump is effectively guaranteed when it adjusts its operating parameters to reach a new target pressure range, while the continuity of fuel supply is not affected.

[0066] In some embodiments of this application, the vibration signal of the LPG transfer pump and the fuel flow pulsation information at the LPG transfer pump outlet are used to determine whether the LPG transfer pump is experiencing an unstable operating state. However, during actual ship navigation, the vibration signal of the LPG transfer pump may be interfered with by external factors such as structural vibrations of the hull, especially under severe sea conditions such as sudden large wave impacts. This interference can significantly affect the accuracy of judging the LPG transfer pump's own operating state, potentially leading to misjudgments or omissions, and affecting the accuracy and timeliness of regulation and control commands. Therefore, this application further proposes to optimize the steps for judging whether the LPG transfer pump is experiencing an unstable operating state, in order to more accurately identify the LPG transfer pump's own unstable operating state.

[0067] The steps mentioned above for determining whether the liquefied gas transfer pump is operating unstable include: The ship's speed information is obtained through the perception layer; Information on changes in the ship's attitude is obtained through the perception layer; Based on the navigation speed information and the attitude change information, determine whether the ship is in a state of instantaneous large wave impact; When the ship is under the impact of a sudden large wave, the expected impact of the ship's structural vibration on the vibration signal of the liquefied gas delivery pump is calculated based on the ship's attitude change information. The expected influence is subtracted from the vibration signal of the liquefied gas transfer pump to obtain the vibration signal of the liquefied gas transfer pump itself; Based on the vibration signal of the liquefied gas transfer pump itself and the fuel flow pulsation information at the outlet of the liquefied gas transfer pump, it is determined whether the liquefied gas transfer pump is in an unstable operating state.

[0068] Specifically, the perception layer is configured to acquire real-time information on the ship's speed and attitude changes. Speed ​​information may include the ship's speed over water and speed over land, while attitude change information may include parameters such as roll, pitch, heave, and bow angle. This information can be collected through the ship's onboard navigation system, inertial measurement unit, or dedicated attitude sensors.

[0069] Determining whether a ship is under instantaneous large wave impact based on its speed and attitude change information involves analyzing the instantaneous rate and amplitude of change of these parameters, combined with preset thresholds or models, to identify whether the ship is experiencing violent motion caused by large waves. For example, when the instantaneous rate of change of the roll or pitch angle exceeds a certain safety threshold, and the speed fluctuates within a certain range, it can be determined as an instantaneous large wave impact state.

[0070] When a ship is determined to be under the impact of a sudden large wave, it is necessary to calculate the predicted impact of the ship's structural vibrations on the vibration signal of the LPG transfer pump based on the ship's attitude change information. This can be achieved through a pre-established ship structural dynamics model or empirical formula, which can predict the structural vibration transmission effect on the LPG transfer pump installed on the hull based on the ship's attitude changes (such as violent rolling, heave, etc.). The predicted impact can be a vibration amplitude, frequency range, or specific vibration mode.

[0071] Furthermore, the predicted influence is subtracted from the vibration signal of the LPG transfer pump to obtain the LPG transfer pump's own vibration signal. This subtraction process can be achieved through signal processing techniques, such as adaptive filtering, Kalman filtering, or spectral analysis, to separate the structural vibration components of the hull from the original LPG transfer pump vibration signal, thereby obtaining a purer vibration signal that better reflects the LPG transfer pump's own operating state.

[0072] Finally, based on the vibration signal of the LPG transfer pump itself and the fuel flow pulsation information at the LPG transfer pump outlet, it is determined whether the LPG transfer pump is experiencing unstable operation. At this point, since external interference has been eliminated, the judgment of unstable operation will be more accurate and reliable.

[0073] This application's solution, by introducing real-time monitoring of ship speed and attitude change information, can accurately determine whether the ship is under the impact of instantaneous large waves. When such external interference is identified, the expected impact of hull structural vibration on the liquefied gas transfer pump vibration signal is further calculated using the ship's attitude change information. By effectively subtracting this expected impact from the original liquefied gas transfer pump vibration signal, this solution can accurately separate the liquefied gas transfer pump's own vibration signal, thereby avoiding interference from external environmental factors in judging the pump's operating status. Therefore, by combining the purified own vibration signal and the fuel flow pulsation information at the liquefied gas transfer pump outlet, a more accurate judgment can be made as to whether the liquefied gas transfer pump is operating in an unstable state.

[0074] In some preferred embodiments, it is assumed that a liquefied gas (LPG) carrier encounters a sudden large wave impact during navigation. At this time, the sensing layer acquires real-time information on the ship's speed and attitude changes. For example, the ship's roll angle rapidly increases from 5 degrees to 20 degrees within a short period, while the speed fluctuates instantaneously. The control decision layer determines based on this information that the ship is under a sudden large wave impact. Subsequently, based on the ship's attitude change information, the system uses a preset hull structure dynamics model to calculate the expected impact of hull structural vibration on the LPG delivery pump vibration signal, for example, predicting an additional vibration acceleration of 0.5g within a certain frequency range. Next, this 0.5g expected impact is subtracted from the original LPG delivery pump vibration signal acquired by the sensing layer using digital filtering technology, thus obtaining the LPG delivery pump's own vibration signal. Finally, the control decision layer comprehensively analyzes this purified own vibration signal along with the fuel flow pulsation information at the LPG delivery pump outlet to determine whether the LPG delivery pump is experiencing a genuine operational instability. For example, if the self-vibration signal after deducting external influences still shows abnormal high-frequency vibration, and the fuel flow pulsation exceeds the normal range, the system will accurately determine that the pump is in an unstable operating state and trigger corresponding adjustment and control measures.

[0075] In some embodiments described above, a warning signal is proposed to be sent to the ship's fuel supply unit when the liquefied gas transfer pump is operating unstablely, so as to reduce the fuel extraction rate. However, in practical applications, if only a warning signal is sent without fully considering the future fuel demand of the ship's main engine and the dynamic compensation capability of the fuel buffer unit, the accuracy of the warning may be insufficient, or the stability of the fuel supply and the actual demand of the ship's main engine may not be effectively balanced, thereby affecting the overall operating efficiency and reliability of the system.

[0076] In this regard, this application further proposes that the steps of sending a warning signal to the ship's fuel supply unit to reduce the fuel extraction rate within a preset time include: The navigation status information of the ship is obtained through the perception layer, which includes the ship's heading, speed and current sea state data; The current fuel consumption rate and power output information of the ship's main engine are obtained through the perception layer. Based on navigation status information and the power output information of the ship's main engine, predict the maximum possible fuel demand of the ship's main engine in the near future. Compare the projected maximum fuel demand with the current fuel extraction rate that the ship's fuel supply unit can provide. When the predicted maximum fuel demand exceeds the fuel extraction rate that the ship's fuel supply unit is currently able to provide, an instruction signal is sent to the ship's fuel supply unit. The instruction signal includes the suggested adjustment range and duration of the fuel extraction rate. The instruction signal is used to cause the ship's fuel supply unit to reduce the fuel extraction rate for a preset time. Calculate the amount of additional fuel that the fuel buffer unit needs to be replenished based on the difference between the maximum fuel demand and the current available fuel extraction rate. The corresponding adjustment and control commands are generated and sent to the liquefied gas delivery pump to increase the internal pressure of the fuel buffer unit, thereby replenishing the additional fuel within a preset time.

[0077] Specifically, the perception layer is configured to acquire real-time navigation status information of the ship, including its course, speed, and current sea state data such as wave height, wind speed, and current speed. Simultaneously, the perception layer is also responsible for acquiring the current fuel consumption rate and power output information of the ship's main engine, reflecting the real-time operating load of the main engine. Based on the acquired navigation status information and the main engine's power output information, the control decision layer is configured to predict the maximum potential fuel demand of the main engine over a future period. This prediction can be based on a comprehensive analysis of historical data, route planning, weather forecasts, and the ship's main engine performance model.

[0078] For example, when a ship is about to enter a high-load navigation area or perform complex maneuvers, the predicted maximum fuel demand will increase accordingly. In practice, the predicted maximum fuel demand is then compared with the current fuel extraction rate that the ship's fuel supply unit can provide. If the predicted maximum fuel demand exceeds the current fuel extraction rate that the ship's fuel supply unit can provide, it indicates a potential risk of insufficient fuel supply. In this case, the control decision-making level will send a command signal to the ship's fuel supply unit. This command signal is not a simple warning, but contains specific suggested adjustments to the fuel extraction rate and their duration, aiming to guide the ship's fuel supply unit to reduce the fuel extraction rate within a preset time to avoid affecting the normal operation of the ship's main engine due to insufficient fuel supply.

[0079] Furthermore, based on the difference between the predicted maximum fuel demand and the currently available fuel extraction rate, the system also calculates the additional fuel required to replenish the fuel buffer unit. This calculation aims to ensure that even if the ship's fuel supply unit reduces its extraction rate, the fuel buffer unit can still maintain sufficient fuel reserves to cope with the instantaneous high demand from the ship's main engine. Finally, to replenish the required additional fuel, the system generates a corresponding adjustment control command and sends it to the LPG transfer pump. This command aims to increase the internal pressure of the fuel buffer unit, thereby increasing the amount of fuel delivered by the LPG transfer pump within a preset time to replenish the fuel buffer unit's reserves and ensure the continuity and stability of the fuel supply.

[0080] The proposed solution addresses the potential blindness and lag issues of early warning signals in the basic solution by introducing comprehensive perception of ship navigation status and main engine operating conditions, as well as prediction of future fuel demand.

[0081] The steps described above for predicting the maximum potential fuel demand of the ship's main engine over a future period, based on navigation status information and the power output information of the ship's main engine, include: The navigation area information of a ship is acquired through the perception layer. This navigation area information can be understood as the ship's current geographical location, such as latitude and longitude data obtained through the Global Positioning System (GPS) or Automatic Identification System (AIS), or specific waters information identified through electronic chart systems. Its purpose is to identify whether the ship has entered a low-temperature environment requiring special consideration.

[0082] Based on the navigation area information, it is determined whether the vessel is navigating in ice-covered areas or polar waters. Specifically, the geographical boundaries of ice-covered areas or polar waters can be preset. When the vessel's navigation area information falls within these preset boundaries, it is determined that the vessel is in ice-covered areas or polar waters.

[0083] When the vessel is navigating in ice-covered areas or polar waters, it acquires current ambient temperature information and fuel temperature information within the fuel buffer unit through the sensing layer. The current ambient temperature information is obtained via onboard meteorological sensors, while the fuel temperature information within the fuel buffer unit is monitored in real time by temperature sensors installed within the unit. This temperature information is a key parameter for assessing changes in the physical properties of liquefied petroleum gas (LPG) fuel.

[0084] Based on the current ambient temperature and the fuel temperature inside the fuel buffer unit, the density correction parameters and calorific value correction parameters of the liquefied petroleum gas (LPG) fuel under the current low-temperature conditions are obtained. Specifically, a database or empirical formula for the density and calorific value of LPG fuel at different temperatures can be established in advance. After obtaining the current fuel temperature and ambient temperature, the system can look up the corresponding density correction parameters or calculate them. These correction parameters are used to quantify the impact of low temperature on the actual energy density of the fuel.

[0085] The power output information of the ship's main engine is corrected based on the density correction parameter and the calorific value correction parameter to obtain the corrected power output information. For example, the power output information reported by the ship's main engine is usually calculated based on the calorific value of standard fuel. In low-temperature environments, the actual calorific value of the fuel may decrease, so it is necessary to adjust the power output information using the obtained calorific value correction parameter to reflect the actual energy consumption. At the same time, the density correction parameter can be used to more accurately calculate the energy contained in a unit volume of fuel.

[0086] Based on the navigation status information and the corrected power output information, the maximum potential fuel demand of the ship's main engine over a future period is predicted. By using the corrected power output information, the actual fuel consumption capacity of the ship's main engine in low-temperature environments can be more accurately reflected, thereby improving the accuracy of future fuel demand prediction.

[0087] This application's solution identifies whether the ship is navigating in ice-covered or polar waters, and under these conditions, obtains information on the current ambient temperature and the fuel temperature inside the fuel buffer unit, thereby accurately determining the actual low-temperature environment of the liquefied petroleum gas (LPG) fuel. Given that the density and calorific value of LPG fuel change significantly under low-temperature conditions, this solution further obtains corresponding density and calorific value correction parameters based on this temperature information. It is precisely because these correction parameters can quantify the impact of low temperatures on the actual energy density of the fuel that it becomes possible to correct the power output information of the ship's main engine. By using the corrected power output information, the system can more realistically reflect the actual energy consumption of the ship's main engine in low-temperature environments, thus overcoming the potential biases in traditional methods for predicting fuel demand under extreme low-temperature conditions and ensuring the accuracy of the prediction results.

[0088] In some preferred embodiments, it is assumed that an LPG-powered vessel is navigating from temperate waters into polar waters within the Arctic Circle. When the vessel enters a pre-defined polar water area, the perception layer uses navigation area information obtained from GPS or AIS systems to determine whether the vessel is currently in an ice zone or polar waters. At this point, the perception layer further acquires the current ambient temperature information, for example, -15°C, and the LPG fuel temperature information inside the fuel buffer unit, for example, -45°C. Based on this low-temperature data, the control decision layer consults a pre-defined LPG fuel physical property database to obtain density correction parameters and calorific value correction parameters under these temperature conditions. For example, it may find that the density of the LPG fuel is reduced by 5% and the calorific value is reduced by 3% compared to standard operating conditions. Subsequently, the control decision layer corrects the power output information currently reported by the ship's main engine (e.g., 12MW). Specifically, it adjusts the power output based on the 3% reduction in calorific value to obtain the corrected power output information. Finally, based on the corrected power output information and navigation status information, the system predicts the maximum possible fuel demand of the ship's main engine over a future period. For example, without correction, the predicted fuel demand might be 10 tons / hour, while after correction, taking into account the reduction in the actual energy density of the fuel, the predicted fuel demand might be adjusted to 10.3 tons / hour, thus more accurately reflecting the actual fuel consumption and guiding the LPG transfer pump to make more precise adjustments.

[0089] In some of the embodiments described above in this application, an integrated control method for liquefied gas (LPG) transfer pumps based on the Industrial Internet is proposed. Through real-time data acquisition, processing, and control decision-making, adaptive and precise regulation and emergency safety protection of the LPG transfer pumps are achieved. However, in its implementation, this method mainly focuses on real-time response to the current operating condition and local safety maintenance, and its ability to provide early warnings of the long-term operating status, performance degradation trends, and potential faults of the LPG transfer pump is relatively limited. This limitation may lead to some non-real-time anomalies being difficult to detect and handle in a timely manner, thereby affecting the overall reliability and maintenance efficiency of the system.

[0090] In response, this application further proposes a remote cloud monitoring procedure: The real-time collected internal fuel status information, LPG delivery pump operating parameters, and generated adjustment and control commands are uploaded to the cloud monitoring platform via the network transmission layer. The cloud monitoring platform stores and analyzes the received data to generate an LPG delivery pump operating status assessment report. When the operating status assessment report indicates that the LPG delivery pump has an abnormal trend, the cloud monitoring platform sends an early warning message to the remote monitoring terminal.

[0091] Specifically, the remote cloud monitoring process involves transmitting key operational data collected and generated locally on the ship to a centralized cloud platform for advanced processing and management. Real-time collected internal fuel status information includes the real-time pressure of the fuel buffer unit's buffer chamber, fuel level, and the proportion of gaseous liquefied petroleum gas (LPG), reflecting the immediate status of fuel supply. The operating parameters of the LPG transfer pump include the pump's suction pressure, discharge pressure, instantaneous flow rate, and vibration signals, characterizing the pump's actual performance. The generated regulation and control commands are instructions issued by the control decision-making level to the actuators based on the operating conditions, recording the system's decision-making behavior.

[0092] This data is securely and reliably uploaded to the cloud monitoring platform via the network transmission layer using encrypted communication protocols. Upon receiving the data, the cloud monitoring platform persistently stores it and utilizes big data analytics and machine learning technologies to perform in-depth analysis of historical and real-time data. Through comprehensive analysis of this data, the operating modes, performance degradation trends, and potential fault characteristics of the liquefied gas transfer pumps can be identified, thereby generating a detailed operational status assessment report. This report not only includes an overview of the current operating status but may also predict future performance trends and maintenance needs.

[0093] Furthermore, when the operational status assessment report determines an abnormal trend in the liquefied gas transfer pump through intelligent algorithms or preset rules—such as a continuous increase in vibration signals, a gradual deviation of the flow-pressure differential ratio from the design curve, or abnormal fluctuations in fuel level—the cloud-based monitoring platform will immediately generate and send an early warning to the remote monitoring terminal. The remote monitoring terminal can be a shore-based control center, a mobile device or computer belonging to ship management personnel, ensuring that relevant personnel can obtain abnormal information in a timely manner, thereby taking preventative maintenance measures or conducting remote diagnostics.

[0094] The solution proposed in this application effectively compensates for the shortcomings of basic control methods in long-term operational status monitoring and early warning by introducing a remote cloud monitoring step.

[0095] refer to Figure 3 , Figure 3 This is a schematic diagram of an integrated control system for a liquefied gas transfer pump based on the Industrial Internet, provided in an embodiment of the present invention. The system is used to execute the aforementioned integrated control method and includes: The sensing layer is used to collect in real time the internal fuel status information of the fuel buffer unit, the ship's motion status information and navigation status information, the operating parameters of the liquefied gas transfer pump, and environmental parameters; the fuel buffer unit is connected in series between the outlet of the liquefied gas transfer pump and the inlet of the ship's fuel supply unit. A network transport layer is used to transmit data between the sensing layer, the control decision layer, and the actuator of the liquefied gas delivery pump; The control decision layer is used to perform threshold analysis based on the internal fuel status information collected by the perception layer, combined with the ship's navigation conditions and the pump operating conditions of the liquefied gas transfer pump, to generate adjustment control commands adapted to the current operating conditions, and to send the adjustment control commands to the actuator of the liquefied gas transfer pump via the network transmission layer, so as to adjust the operating parameters of the liquefied gas transfer pump and maintain the internal fuel status of the fuel buffer unit within the preset safe operating range; it is also used to generate safety protection commands based on the fuel status monitoring results of the main liquid cargo tank when the internal fuel status of the fuel buffer unit cannot be maintained within the preset safe operating range. The actuator of the liquefied gas delivery pump is used to receive and execute the regulation control command and the safety protection command; The cloud-based monitoring platform is used to receive, store, and analyze the internal fuel status information, the operating parameters of the liquefied gas transfer pump, and the adjustment and control commands, and generate an operating status assessment report for the liquefied gas transfer pump.

[0096] This system organically integrates data acquisition, transmission, processing, decision-making, and execution during the transportation of liquefied gas (LPG) fuel from ships by constructing a layered industrial internet architecture. The perception layer is responsible for comprehensively and in real-time acquiring various operational data, providing a data foundation for subsequent intelligent decision-making. The network transmission layer ensures the secure and efficient flow of data. The control and decision-making layer, acting as the system's "brain," generates precise adjustment and control commands and necessary safety protection commands based on multi-source data fusion and intelligent algorithms to cope with complex navigation conditions and potential risks. The actuators of the LPG transfer pumps are responsible for translating these commands into actual pump operating parameter adjustments. Furthermore, the introduction of a cloud-based monitoring platform enables the system to perform remote monitoring, data analysis, and operational status assessment, further enhancing the system's intelligence level and management efficiency. This integrated control system effectively solves the problem of unstable fuel supply caused by information distortion in traditional LPG transfer pump control systems under harsh sea conditions, ensuring the stable operation of the ship's main engine and navigation safety.

[0097] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. An integrated control method for liquefied gas delivery pumps based on the Industrial Internet, characterized in that, This system is applied to a marine liquefied gas fuel delivery control system, utilizing a layered architecture based on an industrial internet platform to achieve adaptive and precise control of the liquefied gas delivery pump, including: The internal fuel status information of the fuel buffer unit is collected in real time through the perception layer of the industrial internet platform. The internal fuel status information includes the real-time pressure of the buffer chamber of the fuel buffer unit, the fuel level and the proportion of gaseous liquefied gas. The fuel buffer unit is connected in series between the outlet of the liquefied gas delivery pump and the inlet of the ship fuel supply unit. The data processing layer of the industrial internet platform performs noise reduction, calibration and time alignment on the internal fuel status information to eliminate abnormal sampling data caused by ship vibration and electromagnetic interference. The pre-processed data is then transmitted to the control decision layer of the industrial internet platform via the network transmission layer using an encrypted communication protocol. Combining the ship's navigation conditions and the operating conditions of the liquefied gas transfer pump, a threshold judgment is performed on the preprocessed internal fuel state information to generate an adjustment and control command adapted to the current operating conditions. The adjustment and control command is then sent to the actuator of the liquefied gas transfer pump via the network transmission layer to adjust the operating parameters of the liquefied gas transfer pump and maintain the internal fuel state of the fuel buffer unit within a preset safe operating range. Liquefied gas fuel is supplied to the ship's fuel supply unit through the fuel buffer unit; When the internal fuel status of the fuel buffer unit cannot be maintained within the preset safe operating range, a safety protection command is generated based on the fuel status monitoring results of the main liquid cargo tank and sent to the liquefied gas transfer pump, triggering the safety protection action of the liquefied gas transfer pump.

2. The integrated control method for a liquefied gas delivery pump based on the Industrial Internet according to claim 1, characterized in that, The step of combining the ship's navigation conditions and the liquefied gas transfer pump's operating conditions to perform threshold analysis on the preprocessed internal fuel state information and generate adjustment and control commands adapted to the current operating conditions includes: The motion state information of the ship is obtained through the sensing layer; The fuel temperature information inside the fuel buffer unit is obtained through the sensing layer; Based on the ship's motion status information and the fuel temperature information inside the fuel buffer unit, determine whether the current environment is in a state where bubbles are easily generated; When the current environment is in a state where bubbles are easily generated, the internal target pressure of the fuel buffer unit is calculated based on the fuel temperature information inside the fuel buffer unit. The regulation control command is generated based on the internal target pressure to maintain the internal pressure of the fuel buffer unit near the internal target pressure.

3. The integrated control method for a liquefied gas delivery pump based on the Industrial Internet according to claim 2, characterized in that, The step of generating the adjustment control command based on the internal target pressure to maintain the internal pressure of the fuel buffer unit near the internal target pressure includes: The operating parameters of the liquefied gas delivery pump are obtained through the sensing layer. The operating parameters include the suction pressure, discharge pressure and instantaneous flow rate of the liquefied gas delivery pump. Calculate the flow rate-pressure difference ratio of the liquefied gas delivery pump based on the operating parameters; The flow rate differential pressure ratio is compared with a preset pump design performance curve to determine whether the performance of the liquefied gas transfer pump has degraded. When it is determined that the performance of the liquefied gas delivery pump is degraded, the internal target pressure range of the fuel buffer unit is adjusted according to the degree of performance degradation. Based on the adjusted internal target pressure range, a corresponding adjustment control command is generated and sent to the liquefied gas delivery pump to maintain the internal pressure of the fuel buffer unit near the adjusted internal target pressure range.

4. The integrated control method for a liquefied gas delivery pump based on the Industrial Internet according to claim 3, characterized in that, The step of adjusting the internal target pressure range of the fuel buffer unit according to the degree of performance degradation includes: The ship's maneuvering commands are obtained through the sensing layer; The current fuel consumption rate of the ship's main engine is obtained through the sensing layer; Based on the maneuvering command and the current fuel consumption rate of the ship's main engine, determine whether the ship is in a high-load maneuvering state; When the vessel is under high-load maneuvering conditions, the fuel consumption of the vessel's main engine over a future period of time is predicted. Based on the predicted fuel consumption, the upper and lower limits of the internal target pressure range of the fuel buffer unit are increased; The corresponding adjustment and control command is generated and sent to the liquefied gas delivery pump so that the internal pressure of the fuel buffer unit reaches the target range after the increase.

5. The integrated control method for a liquefied gas delivery pump based on the Industrial Internet according to claim 4, characterized in that, The step of generating the corresponding adjustment and control command and sending it to the liquefied gas delivery pump to bring the internal pressure of the fuel buffer unit to the increased target range includes: The vibration signal of the liquefied gas delivery pump is obtained through the sensing layer; The fuel flow pulsation information at the outlet of the liquefied gas delivery pump is obtained through the sensing layer; Based on the vibration signal of the liquefied gas transfer pump and the fuel flow pulsation information at the outlet of the liquefied gas transfer pump, it is determined whether the liquefied gas transfer pump is in an unstable operating state. When the liquefied gas delivery pump is in an unstable operating state, the speed regulation rate of the liquefied gas delivery pump is adjusted according to the degree of the unstable operating state, and a corresponding regulation control command is generated. A warning signal is sent to the ship's fuel supply unit so that the ship's fuel supply unit reduces the fuel extraction rate within a preset time.

6. The integrated control method for a liquefied gas delivery pump based on the Industrial Internet according to claim 5, characterized in that, The step of determining whether the liquefied gas transfer pump is in an unstable operating state based on the vibration signal of the liquefied gas transfer pump and the fuel flow pulsation information at the outlet of the liquefied gas transfer pump includes: The ship's speed information is obtained through the sensing layer; The attitude change information of the ship is obtained through the sensing layer; Based on the navigation speed information and the attitude change information, determine whether the ship is in a state of instantaneous large wave impact; When the ship is under the impact of a sudden large wave, the expected impact of the ship's structural vibration on the vibration signal of the liquefied gas delivery pump is calculated based on the ship's attitude change information. The expected influence is subtracted from the vibration signal of the liquefied gas transfer pump to obtain the vibration signal of the liquefied gas transfer pump itself; Based on the vibration signal of the liquefied gas transfer pump itself and the fuel flow pulsation information at the outlet of the liquefied gas transfer pump, it is determined whether the liquefied gas transfer pump is in an unstable operating state.

7. The integrated control method for a liquefied gas delivery pump based on the Industrial Internet according to claim 5, characterized in that, The step of sending a warning signal to the ship's fuel supply unit to cause the ship's fuel supply unit to reduce the fuel extraction rate within a preset time includes: The navigation status information of the ship is obtained through the perception layer, which includes the ship's heading, speed and current sea state data. The current fuel consumption rate of the ship's main engine and the power output information of the ship's main engine are obtained through the sensing layer. Based on the navigation status information and the power output information of the ship's main engine, predict the maximum possible fuel demand of the ship's main engine in the near future; The predicted maximum fuel demand is compared with the fuel extraction rate that the ship's fuel supply unit is currently able to provide; When the predicted maximum fuel demand exceeds the fuel extraction rate that the ship's fuel supply unit is currently able to provide, an instruction signal is sent to the ship's fuel supply unit. The instruction signal includes a suggested adjustment range and duration for the fuel extraction rate. The instruction signal is used to cause the ship's fuel supply unit to reduce the fuel extraction rate for a preset time. The amount of additional fuel that the fuel buffer unit needs to be replenished is calculated based on the difference between the maximum fuel demand and the currently available fuel extraction rate. The corresponding adjustment and control command is generated and sent to the liquefied gas delivery pump to increase the internal pressure of the fuel buffer unit, thereby replenishing the additional fuel within a preset time.

8. The integrated control method for a liquefied gas delivery pump based on the Industrial Internet according to claim 7, characterized in that, The step of predicting the maximum possible fuel demand of the ship's main engine over a future period based on the navigation status information and the power output information of the ship's main engine includes: The navigation area information of the ship is obtained through the sensing layer; Based on the navigation area information, determine whether the vessel is navigating in ice-covered areas or polar waters; When the ship is sailing in ice-covered or polar waters, it obtains current ambient temperature information and fuel temperature information inside the fuel buffer unit through the sensing layer. Based on the current ambient temperature information and the fuel temperature information inside the fuel buffer unit, the density correction parameters and calorific value correction parameters of the liquefied gas fuel under the current low temperature conditions are obtained. Based on the density correction parameter and the calorific value correction parameter, the power output information of the ship's main engine is corrected to obtain the corrected power output information; Based on the navigation status information and the corrected power output information, the maximum fuel demand of the ship's main engine in the future period is predicted.

9. The integrated control method for a liquefied gas delivery pump based on the Industrial Internet according to claim 1, characterized in that, The method also includes a remote cloud monitoring step: The real-time collected internal fuel status information, the operating parameters of the LPG delivery pump, and the generated adjustment and control commands are uploaded to the cloud monitoring platform via the network transmission layer. The cloud monitoring platform stores and analyzes the received data and generates an operating status assessment report for the LPG delivery pump. When the operating status assessment report indicates that the LPG delivery pump has an abnormal trend, the cloud monitoring platform sends a warning message to the remote monitoring terminal.

10. An integrated control system for a liquefied gas delivery pump based on the Industrial Internet, characterized in that, The system is used to perform the integrated control method according to any one of claims 1 to 9, the system comprising: The sensing layer is used to collect in real time the internal fuel status information of the fuel buffer unit, the ship's motion status information and navigation status information, the operating parameters of the liquefied gas transfer pump, and environmental parameters; the fuel buffer unit is connected in series between the outlet of the liquefied gas transfer pump and the inlet of the ship's fuel supply unit. A network transport layer is used to transmit data between the sensing layer, the control decision layer, and the actuator of the liquefied gas delivery pump; The control decision layer is used to perform threshold analysis based on the internal fuel status information collected by the perception layer, combined with the ship's navigation conditions and the pump operating conditions of the liquefied gas transfer pump, to generate adjustment control commands adapted to the current operating conditions, and to send the adjustment control commands to the actuator of the liquefied gas transfer pump via the network transmission layer, so as to adjust the operating parameters of the liquefied gas transfer pump and maintain the internal fuel status of the fuel buffer unit within the preset safe operating range; it is also used to generate safety protection commands based on the fuel status monitoring results of the main liquid cargo tank when the internal fuel status of the fuel buffer unit cannot be maintained within the preset safe operating range. The actuator of the liquefied gas delivery pump is used to receive and execute the regulation control command and the safety protection command; The cloud-based monitoring platform is used to receive, store, and analyze the internal fuel status information, the operating parameters of the liquefied gas transfer pump, and the adjustment and control commands, and generate an operating status assessment report for the liquefied gas transfer pump.

Images