Method and system for automatically calculating oil consumption of ship cabin capacity meter

Abstract

The invention discloses a ship cabin capacity meter oil consumption automatic calculation method and system, and belongs to the technical field of ship fuel oil management. Oil level height data are obtained in real time through high-precision sensors installed in all oil tanks of a ship; the cabin cabinet is divided into a plurality of areas, and a cabin cabinet differential model is established in the height direction of the cabin cabinet; when the ship is in a static state, oil surface fluctuation is treated by adopting a static filtering technology; the oil level height data are converted into the actual volume of fuel oil according to a cabin capacity meter, and the liquid change condition of each oil tank is monitored. The problem that in the prior art, ship oil consumption cannot be accurately detected in real time is solved. According to the method, internal oil barge, external oil filling and oil quantity abnormity events can be accurately distinguished. The design complexity of an original system is simplified by fusing and analyzing the oil level change data of a plurality of oil tanks, and the oil level fluctuation of a ship in a static state is processed by adopting a static filtering technology, so that a stable monitoring result can be obtained in a complex environment.

Description

Technical Field

[0001] The present invention relates to the technical field of ship fuel management, and in particular to a method and system for automatically calculating fuel consumption of a ship's tank capacity meter. Background Art

[0002] With the development of the global shipping industry, fuel management of ships has become increasingly important. Traditional fuel management methods rely on regular manual inspections of fuel tank levels and manual recording and calculation of fuel consumption, which is not only inefficient but also prone to errors. With the increase in ship size and technological advancement, modern ships are often equipped with multiple fuel tanks (including storage tanks and daily cabinets), which may be interconnected. Traditional management methods can no longer meet the needs of modern shipping for accurate and real-time fuel monitoring.

[0003] In a multi-tank system, oil transfers between tanks (such as internal oil transfers) and external refueling activities occur frequently, which places higher demands on the accuracy and real-time performance of the fuel monitoring system. In addition, when a ship is sailing at sea, it will be affected by factors such as waves and tides, causing fluctuations in the oil level, which in turn affects the accuracy of the readings of the oil level sensor. These problems are particularly prominent when the ship is stationary, because at this time, the fluctuations in the oil level may mask the actual oil level changes, leading to misjudgment.

[0004] In order to solve these problems, we proposed a method and system for automatically calculating the fuel consumption of ship tank capacity tables. Summary of the invention

[0005] The purpose of the present invention is to provide a method and system for automatically calculating the fuel consumption of a ship's tank capacity table. By fusing and analyzing independently calculated oil level change events, internal oil transfer, external refueling and abnormal oil quantity events can be accurately distinguished. By fusing and analyzing the oil level change data of multiple fuel tanks, the design complexity of the original system is simplified, the maintenance difficulty is reduced, and the usability of the system is improved. Static filtering technology is used to process oil level fluctuations when the ship is stationary, retain true oil level change signals, and eliminate false signals caused by fluctuations, ensuring that stable monitoring results can be obtained even in complex environments, thereby solving the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A method for automatically calculating fuel consumption of a ship's tank capacity table comprises the following steps:

[0008] S1. Obtain the oil level data in each oil tank of the ship in real time through the high-precision sensors installed in each oil tank of the ship, transmit it to the processor in real time through wireless means, and collect relevant data of the corresponding oil tank;

[0009] S2. Divide the tank into multiple areas according to the height and longitudinal length of the tank, and establish a tank differential model along the height direction of the tank;

[0010] S3. When the ship is stationary, static filtering technology is used to process the impact of oil level fluctuations, retain the real oil level change signal, and eliminate the false signal caused by fluctuations;

[0011] S4. Convert the oil level height data into the actual volume of the fuel in the fuel tank in the form of percentage according to the tank capacity table, and calculate the actual fuel mass or fuel volume according to the corresponding relationship between the height and volume of the tank capacity table;

[0012] S5. After the liquid capacity calculation is completed, monitor the liquid changes in each tank to identify internal oil transfer, external oil refueling and abnormal oil volume events.

[0013] Preferably, with respect to S5, it further comprises:

[0014] S51, independently calculating multiple oil tanks, and calculating the oil level rise and fall speed and change trend through an algorithm;

[0015] S52, summarizing the oil level change data of all oil tanks, and analyzing the oil level change trend through algorithm fusion, identifying the cause of the oil level change, and identifying internal oil transfer, external oil refueling and oil volume abnormal events by comparing the oil level change rate;

[0016] S53, when it is determined to be an abnormal oil quantity event, triggering an alarm mechanism;

[0017] Preferably, the process of identifying internal oil transfer, external oil filling and abnormal oil quantity events by comparing the oil level change rate in S52 is as follows:

[0018] By comparing the synchronization and correlation of oil level changes between different oil tanks, it is confirmed whether there is internal oil transfer activity. When it is detected that the oil level of a certain oil tank continues to drop, while the oil level of other related daily tanks rises, it is determined to be internal oil transfer behavior;

[0019] Refueling behavior is identified by the speed and amplitude of the oil level change, and verified by the flow meter data at the refueling port. When the oil level of a tank suddenly increases and the increase exceeds the normal usage range, it is considered an external refueling event;

[0020] By comparing historical data, detect whether there is abnormal oil level drop or rise;

[0021] Set the minimum and maximum thresholds for oil volume, and determine the possibility of the oil level exceeding the thresholds based on the oil volume change rate. When the oil volume is about to fall below the minimum threshold or about to rise above the maximum threshold, trigger an alarm.

[0022] Among them, abnormal conditions include but are not limited to sudden drop or increase in oil level, exceeding preset thresholds, sensor failure, etc.;

[0023] Preferably, with respect to S2, establishing the differential model of the tank comprises the following steps:

[0024] S21. In the initial state, the tank is divided into a plurality of small three-dimensional grid blocks, each grid block represents a certain volume;

[0025] S22. When the liquid level changes, the distribution of the grid blocks is dynamically adjusted according to the current liquid level height; if the liquid in some areas decreases, the number of grids in the area is reduced; conversely, if the liquid increases, the number of grids in the area is increased;

[0026] S23. For non-rectangular tanks, three-dimensional modeling technology is used to create a three-dimensional model according to the actual shape of the tank, and grid blocks are divided as needed based on the three-dimensional model;

[0027] S24. Introduce machine learning algorithms to automatically adjust the partitioning strategy by learning from past tank level change data.

[0028] Preferably, in view of the influence of oil level fluctuations caused by using static filtering technology as described in S3, the real oil level change signal is retained and the false signal caused by the fluctuation is eliminated, specifically:

[0029] Conduct preliminary analysis on the collected liquid level data to identify the liquid level fluctuation noise caused by ship shaking, waves, tides, etc.;

[0030] The oil level change signal and noise signal are separated, and the high-frequency noise components are filtered out by digital filtering technology to retain the low-frequency real oil level change signal;

[0031] The filtered data is combined with information from high-precision sensors to further correct the level reading.

[0032] Preferably, the tank capacity table data includes the relationship between liquid level height and volume, tank geometry, liquid temperature in the tank, fuel density, cross-sectional area of ​​the tank at different liquid level heights, tank shape and structural information.

[0033] Preferably, the tank capacity table data also includes a volume correction coefficient, a conversion relationship between oil level height and oil volume percentage, a polynomial fitting coefficient of the relationship between tank liquid level height and volume, and an empirical parameter of a volume expansion coefficient.

[0034] A ship tank capacity meter fuel consumption automatic calculation system, used to implement a ship tank capacity meter fuel consumption automatic calculation method, comprising:

[0035] The data acquisition module is used to receive signals from high-precision sensors, collect data related to fuel consumption during ship operation, and obtain the oil level data in each fuel tank of the ship;

[0036] The central processing module is used to reduce the impact of oil level fluctuations on oil quantity detection through static filtering, convert the oil level height data into oil quantity percentage and specific values ​​according to the tank capacity table data, and analyze the oil level changes;

[0037] Alarm module, used to issue warnings when abnormal oil quantity occurs;

[0038] The display module is used to display ship operation data, ship equipment fuel consumption data, ship navigation data and fuel abnormal status alarm.

[0039] Preferably, the central processing module includes:

[0040] The tank differential unit is used to divide the tank into several areas according to the height of the tank and the distribution of the liquid inside;

[0041] The liquid level correction height calculation unit is used to calculate the liquid level correction height of each area in the tank according to the ship's trim angle and tank size data after the tank division is completed;

[0042] The liquid capacity calculation unit is used to calculate the actual capacity of the liquid in the tank after obtaining the corrected height and combining the tank capacity table data, and reflect it to the crew in real time through the display module;

[0043] Preferably, the central processing module also includes an event analysis unit, which is used to monitor the liquid changes in each tank after the liquid capacity calculation is completed, identify internal oil transfer, external refueling and abnormal oil volume events, and trigger the alarm module and display it on the display module when an abnormal measurement event is detected.

[0044] Compared with the prior art, the present invention has the following beneficial effects:

[0045] 1. The present invention integrates and analyzes independently calculated oil level change events. The system can accurately distinguish between internal oil transfer, external refueling and abnormal oil volume events, thereby improving the accuracy and reliability of fuel management, avoiding operational errors or safety hazards caused by misjudgment, improving safety, and helping to reasonably arrange refueling plans, reduce unnecessary fuel consumption, and optimize ship operating costs.

[0046] 2. The present invention simplifies the design complexity of the original system, reduces the difficulty of maintenance, improves the usability of the system, and can effectively handle the complex oil level change relationship between multiple oil tanks, thereby improving the system's data processing capabilities and decision support level.

[0047] 3. The present invention adopts static filtering technology to process the oil level fluctuation when the ship is stationary, retains the real oil level change signal, eliminates the false signal caused by the fluctuation, and ensures that stable monitoring results can be obtained even in complex environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 This is a schematic diagram of the module of the ship tank capacity table fuel consumption automatic calculation system of the present invention;

[0049] Figure 2 The present invention is a flow chart of the method for automatically calculating fuel consumption of a ship's tank capacity table. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] In order to solve the problem that the existing technology cannot realize real-time and accurate detection of ship fuel consumption, please refer to Figure 1-2 , this embodiment provides the following technical solutions:

[0052] A method for automatically calculating fuel consumption of a ship's tank capacity table comprises the following steps:

[0053] S1. Obtain the oil level data in each oil tank of the ship in real time through high-precision sensors installed in each oil tank of the ship, and transmit it to the processor in real time through wireless means. The sensors include but are not limited to pressure sensors, radar sensors, ultrasonic sensors, etc.; and collect relevant data of the corresponding oil tanks, including but not limited to the location, type, size and connection relationship of the oil tanks;

[0054] S2. Divide the tank into multiple areas according to the height and longitudinal length of the tank. The area division takes into account the liquid distribution in the tank and distinguishes between saturated and unsaturated areas. Establish a tank differential model along the height direction of the tank and divide the tank into several areas.

[0055] S3. When the ship is stationary, static filtering technology is used to process the impact of oil level fluctuations, retain the real oil level change signal, and eliminate the false signal caused by fluctuations;

[0056] S4. Convert the oil level data into the actual volume of the fuel in the fuel tank in the form of percentage according to the data provided by the tank capacity table, and calculate the actual fuel mass or fuel volume according to the corresponding relationship between the height and volume of the tank capacity table;

[0057] S5. After the liquid capacity calculation is completed, monitor the liquid changes in each tank to identify internal oil transfer, external oil refueling and abnormal oil volume events.

[0058] For S2, establishing the differential model of the tank includes the following steps:

[0059] S21. In an initial state, the tank is divided into a plurality of small three-dimensional grid blocks, each grid block representing a certain volume; the initial division can be set according to the geometric shape of the tank and the expected liquid distribution. For example, for a rectangular tank, the division can be performed in a uniform distribution manner;

[0060] S22. When the liquid level changes, the distribution of the grid blocks is dynamically adjusted according to the current liquid level height; if the liquid in some areas decreases, the number of grids in the area is reduced; conversely, if the liquid increases, the number of grids in the area is increased;

[0061] S23. For non-rectangular tanks, three-dimensional modeling technology is used to create a three-dimensional model based on the actual shape of the tank, and on the basis of the three-dimensional model, grid blocks are divided as needed to ensure that each grid block is distributed as evenly as possible in the tank to accurately reflect the liquid distribution;

[0062] S24. Introduce machine learning algorithms to automatically adjust the partitioning strategy by learning from past tank level change data. The algorithm can dynamically adjust the partitioning according to the different postures of the ship (such as pitch and roll) to reduce measurement errors.

[0063] The model constructed through the above steps can adapt to tanks of different shapes and liquid level changes under different circumstances. By dynamically adjusting the partitions and three-dimensional modeling, the accuracy of calculating the liquid capacity is improved. The introduction of machine learning algorithms enables the model to self-optimize and better cope with complex situations.

[0064] The static filtering technology is used to deal with the impact of oil level fluctuations in S3, retain the real oil level change signal, and eliminate the false signal caused by fluctuations. Specifically:

[0065] Perform a preliminary analysis on the collected liquid level data to identify the liquid level fluctuation noise caused by ship shaking, waves, tides, etc.; usually, this type of fluctuation noise has a higher frequency and smaller amplitude, which is significantly different from the actual oil level changes;

[0066] The oil level change signal and noise signal are separated, and the high-frequency noise components are filtered out using digital filtering technology to retain the low-frequency real oil level change signal; the cutoff frequency setting of the low-pass filter needs to be adjusted according to the actual situation to ensure that only the signal that truly represents the oil level change passes.

[0067] Since changes in ship motion and environmental conditions may cause changes in noise characteristics, the parameters of the filter need to be adaptively adjusted to adapt to different working environments. An adaptive filter can be used or the filter parameters can be automatically adjusted according to a pre-set threshold.

[0068] The filtered data is combined with information from high-precision sensors to further correct the level readings to improve the accuracy of oil level measurement.

[0069] Through the above steps, the influence of oil surface fluctuation on liquid level measurement in a static state can be effectively dealt with, the authenticity and reliability of the oil level change signal can be ensured, and combined with advanced signal processing technology and adaptive mechanism, good performance can be maintained under changing conditions.

[0070] The tank capacity table data mentioned in S4 include the relationship between liquid level height and volume, tank geometry, liquid temperature in tank, fuel density, volume correction factor, cross-sectional area of ​​tank at different liquid level heights, conversion relationship between oil level height and oil volume percentage, tank shape and structure information, polynomial fitting coefficient of the relationship between tank liquid level height and volume, and empirical parameters of volume expansion coefficient.

[0071] With the above data, the system can accurately calculate the actual volume of the liquid in the tank and perform temperature compensation when necessary to ensure the accuracy of the calculation results.

[0072] After the liquid capacity calculation is completed, S5 monitors the liquid changes in each tank and identifies internal oil transfer, external oil filling and abnormal oil volume events, which specifically include the following steps:

[0073] S51, independently calculating multiple oil tanks, and calculating the oil level rise and fall speed and change trend through an algorithm;

[0074] S52, summarizing the oil level change data of all oil tanks, and analyzing the oil level change trend through algorithm fusion, identifying the cause of the oil level change, and identifying internal oil transfer, external oil refueling and oil volume abnormal events by comparing the oil level change rate;

[0075] S53. When an abnormal oil quantity event is identified, an alarm mechanism is triggered.

[0076] Regarding S52, identifying internal oil transfer, external oil refueling and abnormal oil quantity events by comparing the oil level change rate, specifically:

[0077] By comparing the synchronization and correlation of oil level changes between different oil tanks, it is confirmed whether there is internal oil transfer activity. When it is detected that the oil level of a certain oil tank continues to drop, while the oil level of other related daily tanks rises, it is determined to be internal oil transfer behavior;

[0078] Refueling behavior is identified by the speed and amplitude of the oil level change, and verified by the flow meter data at the refueling port. When the oil level of a tank suddenly increases and the increase exceeds the normal usage range, it is considered an external refueling event;

[0079] By comparing historical data, detect whether there is an abnormal oil level drop or rise; abnormal situations include but are not limited to sudden oil level drop or sudden increase, exceeding the preset threshold, sensor failure, etc. Specifically, set the minimum and maximum oil level thresholds, and determine the possibility of the oil level exceeding the thresholds based on the oil level change rate. When the oil level is about to fall below the minimum threshold or about to rise above the maximum threshold, trigger an alarm;

[0080] A ship tank capacity meter fuel consumption automatic calculation system, used to implement a ship tank capacity meter fuel consumption automatic calculation method, comprising:

[0081] The data acquisition module is used to receive signals from high-precision sensors, collect data related to fuel consumption during ship operation, and obtain the oil level data in each fuel tank of the ship;

[0082] The central processing module is used to reduce the impact of oil level fluctuations on oil quantity detection through static filtering, convert the oil level height data into oil quantity percentage and specific values ​​according to the tank capacity table data, and analyze the oil level changes;

[0083] Alarm module, used to issue warnings when abnormal oil quantity occurs;

[0084] The display module is used to display ship operation data, ship equipment fuel consumption data, ship navigation data and fuel abnormal status alarm.

[0085] The central processing module includes:

[0086] The tank differential unit is used to divide the tank into several areas according to the height of the tank and the distribution of the liquid inside; in this way, the actual volume of the liquid in the tank can be calculated more accurately, especially when the ship is trimmed.

[0087] The liquid level correction height calculation unit is used to calculate the liquid level correction height of each area in the tank according to the ship's longitudinal inclination angle and tank size data after the tank division is completed; in order to eliminate the liquid level measurement error caused by the ship's inclination, the calculated liquid capacity is more accurate.

[0088] The liquid capacity calculation unit is used to calculate the actual capacity of the liquid in the tank after obtaining the corrected height and combining the tank capacity table data, and reflect it to the crew in real time through the display module;

[0089] The event analysis unit is used to monitor the liquid changes in each tank after the liquid capacity calculation is completed, identify internal oil transfer, external refueling and abnormal oil volume events, and trigger the alarm module when an abnormal measurement event is detected and display it on the display module.

[0090] Working principle: The oil level data is collected in real time through the sensor installed in the oil tank and transmitted to the central processing unit. The central processing unit stores and processes the collected data, and combines it with the tank capacity table data as needed to convert the oil level height into the percentage of oil volume and specific values. When the ship is stationary, the system will apply static filtering technology to reduce the impact of oil surface fluctuations on oil level measurement and retain the real oil level change signal. Next, the system calculates the data of each tank independently, and summarizes the data of all tanks for fusion analysis, and identifies internal oil transfer, external refueling and abnormal oil volume events by comparing the oil level change trend. When it is detected that the oil volume is lower than the preset threshold or an abnormal situation occurs, the system will trigger the alarm mechanism and inform the crew or management personnel through the display unit and other means. In this way, the system realizes the real-time collection, statistics and abnormality detection of ship fuel consumption data, helping to optimize navigation plans and equipment usage status.

[0091] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0092] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that many changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. A method for automatically calculating fuel consumption of a ship's tank capacity table, characterized in that: The following steps are involved: S1. Obtain the oil level data in each oil tank of the ship in real time through the high-precision sensors installed in each oil tank of the ship, transmit it to the processor in real time through wireless means, and collect relevant data of the corresponding oil tank; S2. Divide the tank into multiple areas according to the height and longitudinal length of the tank, and establish a tank differential model along the height direction of the tank; S3. When the ship is stationary, static filtering technology is used to process the impact of oil level fluctuations, retain the real oil level change signal, and eliminate the false signal caused by fluctuations; S4. Convert the oil level height data into the actual volume of the fuel in the fuel tank in the form of percentage according to the tank capacity table, and calculate the actual fuel mass or fuel volume according to the corresponding relationship between the height and volume of the tank capacity table; S5. After the liquid capacity calculation is completed, monitor the liquid changes in each tank to identify internal oil transfer, external oil refueling and abnormal oil volume events.

2. The method for automatically calculating fuel consumption of a ship's tank capacity table according to claim 1 is characterized in that: With respect to S5, further comprising: S51, independently calculating multiple oil tanks, and calculating the oil level rise and fall speed and change trend through an algorithm; S52, summarizing the oil level change data of all oil tanks, and analyzing the oil level change trend through algorithm fusion, identifying the cause of the oil level change, and identifying internal oil transfer, external oil refueling and oil volume abnormal events by comparing the oil level change rate; S53. When an abnormal oil quantity event is identified, an alarm mechanism is triggered.

3. The method for automatically calculating fuel consumption of a ship's tank capacity table according to claim 2 is characterized in that: Regarding S52, identifying internal oil transfer, external oil refueling and abnormal oil quantity events by comparing the oil level change rate, specifically: By comparing the synchronization and correlation of oil level changes between different oil tanks, it is confirmed whether there is internal oil transfer activity. When it is detected that the oil level of a certain oil tank continues to drop, while the oil level of the associated daily tank rises, it is determined to be an internal oil transfer behavior; Refueling behavior is identified by the speed and amplitude of the oil level change, and verified by the flow meter data at the refueling port. When the oil level of a tank suddenly increases and the increase exceeds the normal usage range, it is considered an external refueling event; By comparing historical data, detect whether there is abnormal oil level drop or rise; Set the minimum and maximum thresholds for oil volume, and determine the possibility of the oil level exceeding the thresholds based on the oil volume change rate. When the oil volume is about to fall below the minimum threshold or about to rise above the maximum threshold, trigger an alarm. Among them, abnormal conditions include but are not limited to sudden drop or increase in oil level, exceeding a preset threshold, and sensor failure.

4. The method for automatically calculating fuel consumption of a ship's tank capacity table according to claim 3 is characterized in that: With respect to S2, establishing the differential model of the tank includes the following steps: S21. In the initial state, the tank is divided into a plurality of small three-dimensional grid blocks, each grid block represents a certain volume; S22. When the liquid level changes, the allocation of grid blocks is dynamically adjusted according to the current liquid level height; if the liquid in some areas decreases, the number of grids in the areas is reduced; if the liquid in some areas increases, the number of grids in the areas is increased; S23. For non-rectangular tanks, three-dimensional modeling technology is used to create a three-dimensional model according to the actual shape of the tank, and grid blocks are divided as needed based on the three-dimensional model; S24. Introduce machine learning algorithms to automatically adjust the partitioning strategy by learning from past tank level change data.

5. The method for automatically calculating fuel consumption of a ship's tank capacity table according to claim 4 is characterized in that: In view of the influence of oil level fluctuations caused by using static filtering technology as described in S3, the real oil level change signal is retained and the false signal caused by fluctuations is eliminated. Specifically: Conduct preliminary analysis on the collected liquid level data to identify the liquid level fluctuation noise caused by ship shaking, waves and tides; The oil level change signal and noise signal are separated, and the high-frequency noise components are filtered out by digital filtering technology to retain the low-frequency real oil level change signal; The filtered data is combined with information from high-precision sensors to further correct the level reading.

6. A method for automatically calculating fuel consumption of a ship's tank capacity table according to claim 5, characterized in that: The tank capacity table data includes the relationship between the liquid level height and volume, the geometric dimensions of the tank, the temperature of the liquid in the tank, the fuel density, the cross-sectional area of ​​the tank at different liquid level heights, and the shape and structural information of the tank.

7. The method for automatically calculating fuel consumption of a ship's tank capacity table according to claim 6, characterized in that: The tank capacity table data also includes a volume correction coefficient, a conversion relationship between oil level height and oil volume percentage, a polynomial fitting coefficient of the relationship between tank liquid level height and volume, and an empirical parameter of a volume expansion coefficient.

8. A system for automatically calculating fuel consumption of a ship's tank capacity meter, used to implement the method for automatically calculating fuel consumption of a ship's tank capacity meter according to any one of claims 1 to 7, characterized in that: include: The data acquisition module is used to receive signals from high-precision sensors, collect data related to fuel consumption during ship operation, and obtain the oil level data in each fuel tank of the ship; The central processing module is used to reduce the impact of oil level fluctuations on oil quantity detection through static filtering, convert the oil level height data into oil quantity percentage and specific values ​​according to the tank capacity table data, and analyze the oil level changes; Alarm module, used to issue warnings when abnormal oil quantity occurs; The display module is used to display ship operation data, ship equipment fuel consumption data, ship navigation data and fuel abnormal status alarm.

9. The automatic calculation system for fuel consumption of ship tank capacity table according to claim 8 is characterized in that: The central processing module comprises: The tank differential unit is used to divide the tank into several areas according to the height of the tank and the distribution of the liquid inside; The liquid level correction height calculation unit is used to calculate the liquid level correction height of each area in the tank according to the ship's trim angle and tank size data after the tank division is completed; The liquid capacity calculation unit is used to calculate the actual capacity of the liquid in the tank after obtaining the corrected altitude in combination with the tank capacity table data, and reflect it to the crew in real time through the display module.

10. The automatic calculation system for fuel consumption of ship tank capacity table according to claim 8, characterized in that: The central processing module also includes: The event analysis unit is used to monitor the liquid changes in each tank after the liquid capacity calculation is completed, identify internal oil transfer, external refueling and abnormal oil volume events, and trigger the alarm module when an abnormal measurement event is detected and display it on the display module.

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