Early Warning Method and System for Ship Fuel Consumption Based on Artificial Intelligence Analysis

By using a wireless oil level detector in the ship's fuel tank, the oil level changes are monitored in real time and combined with oil change events for analysis, the error warning problem of fuel consumption early warning methods in the prior art in the non-smooth driving state is solved, and accurate monitoring and effective early warning of fuel consumption are achieved.

CN119374696BActive Publication Date: 2025-07-11NANJING ZEAHO ELECTRONICS TECH CO LTD
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Patent Information

Application Number
CN202411502594.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-10-25
Publication Date
2025-07-11
Estimated Expiration
2044-10-25

AI Technical Summary

Technical Problem

The existing ship fuel consumption early warning methods can easily cause false early warnings when refueling or withdrawing oil in the ship's fuel tank, and the changes in fuel consumption cannot be effectively monitored.

Method used

Using an artificial intelligence analysis method, by placing a wireless oil level detector in the ship's fuel tank, the oil level changes are monitored in real time, the fuel consumption ratio and proportion fluctuation range are obtained, and abnormal analysis and early warning are performed in combination with oil change events.

Benefits of technology

It realizes accurate monitoring of fuel consumption when refueling or withdrawing oil in the ship's fuel tank, avoids false warnings, and ensures the effectiveness and accuracy of the warning.

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Patent Text Reader

Abstract

The present invention discloses a method and system for warning of ship fuel consumption based on artificial intelligence analysis, relating to the technical field of ship engineering, including: using a wireless oil level detector to obtain the oil level change data in the ship fuel tank when the ship engine is in operation, obtaining the fuel consumption ratio and the ratio fluctuation range; obtaining a real-time oil quantity curve based on real-time monitoring, and determining whether to perform abnormal analysis on the fuel tank oil level; performing oil level abnormal warning based on oil change events; the present invention is used to solve the problem that the existing ship fuel consumption warning method can only monitor the fuel consumption of a ship in a steady driving state, and when behaviors such as refueling or taking oil from the ship fuel tank cause changes in the ship oil quantity other than the consumption of the ship engine, the existing improvement methods will cause false warnings.
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Description

Technical Field

[0001] The present invention relates to the technical field of ship engineering, and in particular to a method and system for warning of ship fuel consumption based on artificial intelligence analysis. Background Art

[0002] Ship fuel consumption warning is an important application in the field of ship engineering, which involves the collection, processing, display of the operation data of ship equipment and the design of an alarm system; by installing specific monitoring devices, such as a flow sensor module, a wireless oil level detector, and an acoustic-optic alarm module, etc., the real-time monitoring of ship fuel consumption is realized; these devices can detect the diesel flow rate, calculate the instantaneous and cumulative flow rate values, and display the fuel consumption situation in real time on-site through an LED digital tube display module, so that the management personnel can take measures in time to ensure the safety and efficiency of the ship; the fuel consumption of the ship is mainly the fuel consumption of multiple engines in the ship during operation. Usually, multiple engines share the same fuel tank, and each engine has different functions, such as anchoring and weighing anchor, controlling the driving power, and supplying power to the on-board power system, etc.

[0003] The existing methods for ship fuel consumption warning usually obtain the fuel consumption rate of fuel under the ship state by selecting a preset measurement value, and obtain the rotation speed corresponding to each fuel consumption rate through the relationship between the rotation speed and the fuel consumption rate under the ship operation state, so as to monitor and give a warning about the ship fuel consumption. Although this method can effectively monitor when the ship fuel consumption is abnormal, it can only monitor the fuel consumption of the ship in a steady driving state. When there are behaviors that change the ship fuel quantity other than the consumption of the ship engine, such as refueling or taking oil from the ship fuel tank, the existing improved methods will cause false warning problems. For example, in the patent application with the publication number of CN105737922A, a method and device for warning of fuel consumption rate of a ship low-speed diesel engine are disclosed. This solution gives the fuel consumption rate under each typical rotation speed condition. If the fuel consumption rate of the actual in-service low-speed diesel engine deviates from the evaluation model ge(s) corresponding to the rotation speed by more than a predetermined value, a warning is issued. And other methods for ship fuel consumption warning usually carry out fuel consumption warning based on theoretical values, and still cannot solve the problem that when there are behaviors that change the ship fuel quantity other than the consumption of the ship engine, such as refueling or taking oil from the ship fuel tank, the existing improved methods will cause false warning problems. In view of this, it is necessary to improve the existing methods for ship fuel consumption warning. Summary of the Invention

[0004] The present invention aims to solve at least one of the technical problems in the prior art to some extent. By proposing a warning method and system for ship fuel consumption based on artificial intelligence analysis, it is used to solve the problem that the existing ship fuel consumption warning methods can only monitor the fuel consumption of ships in a steady driving state. When there are behaviors that cause changes in the ship's fuel volume, such as refueling or taking oil from the ship's fuel tank, other than the consumption of the ship's engine, the existing improved methods will cause false warnings.

[0005] To achieve the above object, in the first aspect, the present application provides a warning method for ship fuel consumption based on artificial intelligence analysis, including the following steps:

[0006] Place a wireless oil level detector in the ship's fuel tank. Use the wireless oil level detector to obtain the oil level change data in the ship's fuel tank when the ship's engine is in operation, analyze the oil level change data, and obtain the fuel consumption ratio and the ratio fluctuation range based on the analysis results;

[0007] During the operation of the ship's engine, use the wireless oil level detector to monitor the oil level in the ship's fuel tank in real time, obtain the real-time oil volume curve based on the real-time monitoring, and analyze the real-time oil volume curve based on the fuel consumption ratio and the ratio fluctuation range. The analysis results are used to determine whether to perform an abnormal analysis on the fuel tank oil level;

[0008] When performing an abnormal analysis on the fuel tank oil level, issue an oil level abnormal warning based on the oil change event.

[0009] Further, using the wireless oil level detector to obtain the oil level change data in the ship's fuel tank when the ship's engine is in operation, and analyzing the oil level change data, and obtaining the fuel consumption ratio and the ratio fluctuation range based on the analysis results includes:

[0010] Place a wireless oil level detector in the ship's fuel tank. Record the oil volume of the ship's fuel tank detected by the wireless oil level detector as the ship's oil volume; establish a plane rectangular coordinate system, denoted as the engine analysis coordinate system, where the unit of the X-axis of the engine analysis coordinate system is time, and the unit of the Y-axis is power; start the ship's engine, and record the time between continuously increasing the power of the ship's engine from 0 to the maximum power as the rising rate time, and record the time between continuously decreasing the power of the ship's engine from the maximum power to 0 as the falling rate time;

[0011] Obtain the relationship between the real-time power of the ship's engine and time during the rising rate time, and draw the corresponding curve in the engine analysis coordinate system, denoted as the rising rate curve; obtain the relationship between the real-time power of the ship's engine and time during the falling rate time, and draw the corresponding curve in the engine analysis coordinate system, denoted as the falling rate curve. Among them, overlap the curve starting point of the falling rate curve with the curve ending point of the rising rate curve, and denote the obtained curve as the power curve.

[0012] Furthermore, the wireless oil level detector is used to obtain the oil level change data in the ship's oil tank when the ship engine is in operation, and the oil level change data is analyzed. Based on the analysis results, the fuel consumption ratio and the ratio fluctuation range are obtained, which also includes:

[0013] Establish a plane rectangular coordinate system, recorded as the fuel tank consumption coordinate system, where the unit of the X-axis of the fuel tank consumption coordinate system is time, and the unit of the Y-axis is liter; obtain the relationship between the ship's fuel volume and time within the rising rate time, and draw a curve in the fuel tank consumption coordinate system, recorded as the rising oil curve; obtain the relationship between the ship's fuel volume and time within the falling rate time, and draw a curve in the fuel tank consumption coordinate system, recorded as the falling oil curve, where the starting point of the falling oil curve is overlapped with the end point of the rising rate curve, and the obtained curve is recorded as the fuel volume curve;

[0014] A plane rectangular coordinate system is established, recorded as the fuel consumption analysis coordinate system, wherein the unit of the X-axis of the fuel consumption analysis coordinate system is time, and the unit of the Y-axis is power or liter; the power curve and the fuel volume curve are placed in the fuel consumption analysis coordinate system, and the horizontal coordinate of the end point of the power curve and the fuel volume curve is marked as Q.

[0015] Furthermore, the wireless oil level detector is used to obtain the oil level change data in the ship's oil tank when the ship engine is in operation, and the oil level change data is analyzed. Based on the analysis results, the fuel consumption ratio and the ratio fluctuation range are obtained, which also includes:

[0016] Divide the area between the origin of the fuel consumption analysis coordinate system and Q into k equal parts, and record them from left to right as fuel consumption part HY1 to fuel consumption part HY k ; For oil consumption HY1 to oil consumption HY k Any fuel consumption between HY k1 , use the fuel consumption ratio algorithm to obtain the fuel consumption HY k1 The fuel consumption ratio, the fuel consumption ratio algorithm is: Among them, F is the fuel consumption ratio, α max and α min Oil consumption is HY k1 The maximum and minimum slopes of the internal power curve; β max and β min Oil consumption is HY k1 The maximum value and the minimum value of the slope of the internal oil volume curve;

[0017] Get the fuel consumption ratio corresponding to all fuel consumption HY.

[0018] Further, using a wireless oil level detector to obtain the oil level change data in the ship's fuel tank when the ship's engine is in operation, and analyzing the oil level change data, obtaining the fuel consumption ratio and the ratio fluctuation range based on the analysis results further includes:

[0019] Record the event that causes the change in the ship's oil volume due to factors other than the ship's engine during the normal operation of the ship as an oil change event; for any oil change event, record the ship's oil volume when the oil change event occurs as the oil change volume, record the point on the oil volume curve in the fuel consumption analysis coordinate system whose ordinate is the oil change volume as the oil change point, record the straight line parallel to the X-axis where the oil change point is located as the oil change line, and record the ordinate of the point where the oil change line intersects the power curve as the oil change power, where the oil change power corresponding to the same oil change point is not unique;

[0020] Record the ship's oil volume at the end of the oil change event as the changed stop oil volume. Based on the change in the ship's oil volume during the oil change event, draw a curve to the right from the oil change point until the ordinate of the curve is the changed stop oil volume, and record the obtained curve as the oil change curve; use the oil change ratio algorithm to obtain the oil change ratio corresponding to the oil change event. The oil change ratio algorithm is: where G is the oil change ratio, γ max and γ min are the maximum and minimum values of the slope of the power curve within the range where the abscissa of the oil change curve is located, δ max and δ min are the maximum and minimum values of the slope of the oil change curve;

[0021] Record the fuel consumption share HY that coincides with the oil change curve as the oil change share, and set the ratio fluctuation range of the fuel consumption ratio of the oil change share as [t1, t2], where t1 is the fuel consumption ratio minus the oil change ratio, and t2 is the fuel consumption ratio plus the oil change ratio;

[0022] Obtain the oil change ratios corresponding to all oil change events, where the same fuel consumption share HY can be recorded as the oil change share corresponding to multiple oil change events.

[0023] Further, using a wireless oil level detector to monitor the oil level in the ship's fuel tank in real time, obtaining the real-time oil volume curve based on the real-time monitoring includes:

[0024] During the operation of the ship's engine, a wireless oil level detector is used to monitor the oil level in the ship's fuel tank in real time. Based on the real-time power of the ship's engine and the monitoring results of the wireless oil level detector, a power curve and an oil quantity curve are plotted in the fuel consumption analysis coordinate system. The power curve at this time is recorded as the real-time power curve, and the oil quantity curve at this time is recorded as the real-time oil quantity curve; the value of Q divided by k is recorded as the monitoring interval. Every time the real-time monitoring duration of the wireless oil level detector passes through a monitoring interval, the fuel consumption ratio algorithm is used to obtain the fuel consumption ratio corresponding to the real-time monitoring curve and the real-time oil quantity curve in the latest monitoring interval, which is recorded as the real-time fuel consumption ratio.

[0025] The curve corresponding to the latest monitoring interval in the real-time power curve is recorded as the monitoring power curve. The interval formed by the maximum and minimum values of the ordinate of the monitoring power curve is recorded as the real-time power interval. The interval formed by the maximum and minimum values of the ordinate of the fuel consumption share HY is recorded as the fuel consumption power interval. The fuel consumption share HY with the largest overlapping area between the fuel consumption power interval and the real-time power interval is recorded as the real-time fuel consumption share, and the fuel consumption ratio of the real-time fuel consumption share is recorded as the comparison ratio.

[0026] Furthermore, based on the fuel consumption ratio and the ratio fluctuation interval, the real-time oil quantity curve is analyzed. Whether to perform abnormal analysis on the fuel tank oil level based on the analysis results includes:

[0027] When the comparison ratio is equal to the real-time fuel consumption ratio, the fuel tank oil level is recorded as the normal oil level;

[0028] When the comparison ratio is not equal to the real-time fuel consumption ratio, the fuel tank oil level is recorded as the abnormal oil level, and abnormal analysis is performed on the fuel tank oil level.

[0029] Furthermore, when performing abnormal analysis on the fuel tank oil level, oil level abnormal warning based on oil change events includes:

[0030] When performing abnormal analysis on the fuel tank oil level, obtain the oil change events that occurred in the latest monitoring interval. When no oil change events occur, perform oil level abnormal warning.

[0031] Furthermore, when performing abnormal analysis on the fuel tank oil level, oil level abnormal warning based on oil change events also includes:

[0032] When an oil transformer event occurs, record the oil transformer event as a real-time oil transformer event, obtain the oil transformer power corresponding to the real-time oil transformer event, and when the oil transformer power is not within the real-time power range, issue an oil level anomaly warning; when the oil transformer power is within the real-time power range and the real-time fuel consumption is the oil transformer share corresponding to the real-time oil transformer event, record the proportion fluctuation range obtained when the real-time fuel consumption is the oil transformer share corresponding to the real-time oil transformer event as the real-time fluctuation range. When the real-time fuel consumption ratio is within the real-time fluctuation range, record the fuel tank oil level as the normal oil level; when the real-time fuel consumption ratio is not within the real-time fluctuation range, issue an oil level anomaly warning;

[0033] When the oil transformer power is within the real-time power range and the real-time fuel consumption is not the oil transformer share corresponding to the real-time oil transformer event, issue an oil level anomaly warning.

[0034] On the second aspect, the present application also provides a ship fuel consumption warning system based on artificial intelligence analysis, including a fuel consumption analysis module, an abnormal fuel consumption judgment module, and an abnormal fuel consumption warning module;

[0035] The fuel consumption analysis module is used to place a wireless oil level detector in the ship fuel tank, use the wireless oil level detector to obtain the oil level change data in the ship fuel tank when the ship engine is in operation, and analyze the oil level change data, and obtain the fuel consumption ratio and the ratio fluctuation range based on the analysis result;

[0036] The abnormal fuel consumption judgment module is used to, during the operation of the ship engine, use the wireless oil level detector to monitor the oil level in the ship fuel tank in real time, obtain the real-time oil quantity curve based on the real-time monitoring, and analyze the real-time oil quantity curve based on the fuel consumption ratio and the ratio fluctuation range, and judge whether to perform abnormal analysis on the fuel tank oil level based on the analysis result;

[0037] The abnormal fuel consumption warning module is used to issue an oil level anomaly warning based on the oil transformer event when abnormal analysis is performed on the fuel tank oil level.

[0038] The beneficial effects of the present invention: The present invention first places a wireless oil level detector in the ship fuel tank, uses the wireless oil level detector to obtain the oil level change data in the ship fuel tank when the ship engine is in operation, and analyzes the oil level change data, and obtains the fuel consumption ratio and the ratio fluctuation range based on the analysis result. The advantage of this is that by obtaining the fuel consumption ratio and the ratio fluctuation range, the proportional relationship between the ship engine and the fuel consumption can be obtained under normal driving conditions of the ship. At the same time, by obtaining the ratio fluctuation range, when events such as refueling or taking oil from the ship fuel tank cause changes in the ship's oil quantity other than the consumption of the ship engine, the intervals in which different events affect the fuel consumption ratio can be obtained, thereby preventing the problem of false warnings caused by only warning based on the proportional relationship between the ship engine and the fuel consumption.

[0039] The present invention also monitors the oil level in the ship's fuel tank in real time by using a wireless oil level detector during the operation of the ship's engine, obtains a real-time oil quantity curve based on the real-time monitoring, analyzes the real-time oil quantity curve based on the fuel consumption ratio and the ratio fluctuation range, determines whether to perform an abnormal analysis on the oil level in the fuel tank based on the analysis result, and finally issues an oil level abnormal warning based on the oil change event when performing an abnormal analysis on the oil level in the fuel tank. The advantage of this is that by obtaining the real-time oil quantity curve to determine whether to perform an abnormal analysis, it is possible to determine whether to perform a further warning judgment based on the ratio fluctuation range when the fuel consumption ratio is abnormal, thereby preventing the problem of false warnings caused by warning only based on the ratio relationship between the ship's engine and the fuel consumption, and ensuring that all abnormal warnings issued through abnormal analysis are effective warnings. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 is a schematic block diagram of the system of the present invention;

[0041] Figure 2 is a flowchart of the steps of the method of the present invention;

[0042] Figure 3 is a schematic diagram of obtaining the power curve of the present invention;

[0043] Figure 4 is a schematic diagram of the fuel consumption analysis coordinate system of the present invention;

[0044] Figure 5 is a schematic diagram of obtaining the oil change point of the present invention;

[0045] Figure 6 is a schematic diagram of the structure of the electronic device of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0046] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0047] Embodiment 1, in the first aspect, please refer to Figure 1 As shown, the present application provides a ship fuel consumption warning system based on artificial intelligence analysis, including a fuel consumption analysis module, an abnormal fuel consumption judgment module, and an abnormal fuel consumption warning module;

[0048] The fuel consumption analysis module is used to place a wireless oil level detector in the ship's fuel tank, obtain the oil level change data in the ship's fuel tank when the ship's engine is operating using the wireless oil level detector, analyze the oil level change data, and obtain the fuel consumption ratio and the ratio fluctuation range based on the analysis results; the fuel consumption analysis module includes a fuel consumption ratio analysis unit, and the fuel consumption ratio analysis unit is configured with a fuel consumption ratio analysis strategy, and the fuel consumption ratio analysis strategy includes:

[0049] Place a wireless oil level detector in the ship's fuel tank, and record the oil quantity of the ship's fuel tank detected by the wireless oil level detector as the ship's oil quantity; establish a plane rectangular coordinate system, denoted as the engine analysis coordinate system, where the unit of the X-axis of the engine analysis coordinate system is time, and the unit of the Y-axis is power; start the ship's engine, and record the time between continuously increasing the power of the ship's engine from 0 to the maximum power as the power increase time, and record the time between continuously decreasing the power of the ship's engine from the maximum power to 0 as the power decrease time;

[0050] Obtain the relationship between the real-time power and time of the ship's engine during the power increase time, and draw a corresponding curve in the engine analysis coordinate system, denoted as the power increase curve; obtain the relationship between the real-time power and time of the ship's engine during the power decrease time, and draw a corresponding curve in the engine analysis coordinate system, denoted as the power decrease curve, where the starting point of the power decrease curve coincides with the ending point of the power increase curve, and the obtained curve is denoted as the power curve;

[0051] In the specific implementation process, for example, during a data processing, the obtained engine analysis coordinate system is shown in Figure 3 As shown, where the curve QQ1 is the power increase curve, the value corresponding to the point XX1 is the power increase time, the value corresponding to the point YY1 is the maximum power of the ship's engine, the value corresponding to the point XX2 is the power decrease time, the value of the point XX3 is the sum of the values of the point XX1 and the point XX2, and the curve QQ3 is the power curve; by obtaining the power curve, it is possible to more intuitively obtain the power increase and decrease schematic diagram of the ship's engine in the normal state, which helps to obtain the ratio between the power of the ship's engine and the ship's fuel consumption during subsequent analysis, so as to conduct ship fuel consumption early warning.

[0052] Establish a plane rectangular coordinate system, denoted as the fuel tank consumption coordinate system, where the unit of the X-axis of the fuel tank consumption coordinate system is time, and the unit of the Y-axis is liters; obtain the relationship between the ship's oil quantity and time during the power increase time, and draw a curve in the fuel tank consumption coordinate system, denoted as the fuel increase curve; obtain the relationship between the ship's oil quantity and time during the power decrease time, and draw a curve in the fuel tank consumption coordinate system, denoted as the fuel decrease curve, where the starting point of the fuel decrease curve coincides with the ending point of the fuel increase curve, and the obtained curve is denoted as the oil quantity curve;

[0053] Establish a plane rectangular coordinate system, denoted as the fuel consumption analysis coordinate system. Among them, the unit of the X-axis of the fuel consumption analysis coordinate system is time, and the unit of the Y-axis is power or liters. Place the power curve and the fuel quantity curve into the fuel consumption analysis coordinate system, and denote the abscissa of the curve endpoints of the power curve and the fuel quantity curve as Q. In the specific implementation process, for example, during a data processing, the obtained fuel consumption analysis coordinate system can be referred to Figure 4 as shown in the figure. Among them, the curve QQ4 is the power curve in the fuel consumption analysis coordinate system, and the curve QQ5 is the fuel quantity curve in the fuel consumption analysis coordinate system. By placing the power curve and the fuel quantity curve in the same coordinate system, it is helpful to obtain the relationship between the engine power and the fuel quantity at the same moment, so that the subsequent analyzed fuel consumption ratio is more in line with the actual operation of the ship, making the ship fuel consumption warning more accurate.

[0054] Divide the average of the coordinate origin of the fuel consumption analysis coordinate system and Q into k equal parts, and sequentially denote them as fuel consumption parts HY1 to HY k from left to right; in the specific implementation, the value of k can be determined according to the actual data volume that can be analyzed. In this embodiment, the value of k is set to 10; for any fuel consumption part HY k between HY1 and HY k1 , use the fuel consumption ratio algorithm to obtain the fuel consumption ratio of the fuel consumption part HY k1 . The fuel consumption ratio algorithm is as follows: where F is the fuel consumption ratio, α max and α min are respectively the maximum value and the minimum value of the slope of the power curve within the fuel consumption part HY k1 ; β max and β min are respectively the maximum value and the minimum value of the slope of the fuel quantity curve within the fuel consumption part HY k1 .

[0055] In the specific implementation process, for example, during a data processing, the maximum value and the minimum value of the slope of the power curve within a fuel consumption part HY are obtained as 2 and 1 respectively, and the maximum value and the minimum value of the slope of the fuel quantity curve are 4 and 2 respectively. Then, through the fuel consumption ratio algorithm, the fuel consumption ratio corresponding to the fuel consumption part HY can be obtained as 0. The fuel consumption ratio can be any value greater than or equal to 0. Considering that the fuel consumption continuously increases during the actual operation of the ship, the denominator in the fuel consumption ratio algorithm is always greater than 0. When considering the situation of constant fuel consumption in the actual situation, at this time, β min in the fuel consumption ratio algorithm is 0, and the fuel consumption ratio algorithm can be adjusted to prevent calculation errors from affecting subsequent analysis.

[0056] Obtain the fuel consumption ratios corresponding to all fuel consumption parts HY.

[0057] An event in which the ship's fuel quantity changes due to factors other than the ship's engine during the normal operation of the ship is recorded as an oil change event; for any oil change event, the ship's fuel quantity at the time of the oil change event is recorded as the oil change fuel quantity, the point on the fuel consumption analysis coordinate system where the ordinate of the fuel quantity curve is the oil change fuel quantity is recorded as the oil change point, the straight line parallel to the X-axis where the oil change point is located is recorded as the oil change line, and the ordinate of the point where the oil change line intersects the power curve is recorded as the oil change power. Among them, the oil change power corresponding to the same oil change point is not unique; in the specific implementation process, please refer to Figure 5 As shown, where the value corresponding to point YB is the oil change fuel quantity, point YD is the oil change point, and the straight line YZ parallel to the X-axis where point YD is located is the oil change line. Then the oil change power at this time is the ordinate of point YG1 and the ordinate of point YG2. Therefore, in actual analysis, the power corresponding to the same oil change point is not unique;

[0058] The ship's fuel quantity at the end of the oil change event is recorded as the changed stop fuel quantity. Based on the change in the ship's fuel quantity during the oil change event, draw a curve to the right from the oil change point until the ordinate of the curve is the changed stop fuel quantity, and the obtained curve is recorded as the oil change curve; use the oil change ratio algorithm to obtain the oil change ratio corresponding to the oil change event. The oil change ratio algorithm is: where G is the oil change ratio, γ max and γ min are the maximum and minimum values of the slope of the power curve within the range where the abscissa of the oil change curve is located, δ max and δ min are the maximum and minimum values of the slope of the oil change curve; in the specific implementation process, for example, in a data processing process, the maximum and minimum values of the slope of the power curve within the range where the abscissa of the oil change curve is located are 2 and -1 respectively, and the maximum and minimum values of the slope of the oil change curve are 4 and 2 respectively. Then through calculation, it can be obtained that the oil change ratio corresponding to the oil change event of the oil change curve is 4; by obtaining the oil change ratio, the proportional relationship between the power of the ship's engine and the ship's fuel consumption when the oil change occurs can be obtained. Furthermore, when there are events such as refueling or taking oil from the ship's fuel tank that cause changes in the ship's fuel quantity other than the consumption of the ship's engine, the intervals where different events affect the fuel consumption ratio can be obtained, which can prevent the problem of false alarms caused by only warning based on the proportional relationship between the ship's engine and fuel consumption.

[0059] The fuel consumption share HY that coincides with the oil change curve is recorded as the oil change share, and the proportional fluctuation range of the fuel consumption ratio of the oil change share is set as [t1, t2], where t1 is the fuel consumption ratio minus the oil change ratio, and t2 is the fuel consumption ratio plus the oil change ratio; in the specific implementation process, for example, in a data processing, the fuel consumption ratio of the oil change share is 0, and the oil change ratio is 4. Then through calculation, it can be obtained that the proportional fluctuation range of the oil change share is [-4, 4];

[0060] Obtain the oil change ratios corresponding to all oil change events. Among them, the same fuel consumption share HY can be recorded as the oil change shares corresponding to multiple oil change events.

[0061] The abnormal fuel consumption judgment module is used to, during the operation of the ship's engine, use a wireless oil level detector to monitor the oil level in the ship's fuel tank in real time, obtain a real-time oil quantity curve based on the real-time monitoring, and analyze the real-time oil quantity curve based on the fuel consumption ratio and the ratio fluctuation range. The analysis result is used to judge whether to perform an abnormal analysis on the oil level in the fuel tank;

[0062] The abnormal fuel consumption judgment module includes an abnormal analysis unit, and the abnormal analysis unit is configured with an abnormal analysis strategy. The abnormal analysis strategy includes: during the operation of the ship's engine, use a wireless oil level detector to monitor the oil level in the ship's fuel tank in real time, and based on the real-time power of the ship's engine and the monitoring result of the wireless oil level detector, draw a power curve and an oil quantity curve in the fuel consumption analysis coordinate system. Denote the power curve at this time as the real-time power curve, and denote the oil quantity curve at this time as the real-time oil quantity curve; Denote the value of Q divided by k as the monitoring interval. Every time the real-time monitoring duration of the wireless oil level detector passes through a monitoring interval, use the fuel consumption ratio algorithm to obtain the fuel consumption ratio corresponding to the real-time monitoring curve and the real-time oil quantity curve in the latest monitoring interval, and denote it as the real-time fuel consumption ratio;

[0063] In the specific implementation process, the value of Q is 100 min, and the value of k is 10. Then, through calculation, the monitoring interval can be obtained as 10 min. During the operation of the ship's engine, every time the real-time monitoring duration of the wire oil level detector passes through 10 min, use the fuel consumption ratio algorithm to obtain the fuel consumption ratio corresponding to the real-time monitoring curve and the real-time oil quantity curve in the nearest 10 min, and denote it as the real-time fuel consumption ratio;

[0064] Denote the curve corresponding to the latest monitoring interval in the real-time power curve as the monitoring power curve, denote the interval formed by the maximum value and the minimum value of the ordinate of the monitoring power curve as the real-time power interval, denote the interval formed by the maximum value and the minimum value of the ordinate of the fuel consumption share HY as the fuel consumption power interval, denote the fuel consumption share HY with the largest overlapping area between the fuel consumption power interval and the real-time power interval as the real-time fuel consumption share, and denote the fuel consumption ratio of the real-time fuel consumption share as the comparison ratio;

[0065] When the comparison ratio is equal to the real-time fuel consumption ratio, denote the oil level in the fuel tank as the normal oil level; In the specific implementation, when the comparison ratio is equal to the real-time fuel consumption ratio, it indicates that the fuel consumption situation of the ship is normal. When the comparison ratio is not equal to the real-time fuel consumption ratio, it indicates that the fuel consumption situation of the ship is abnormal. To determine whether the reason for the abnormal fuel consumption is an oil change event or other behaviors that cause abnormal oil consumption such as oil theft, subsequent abnormal analysis should be carried out;

[0066] When the comparison ratio is not equal to the real-time fuel consumption ratio, record the fuel tank level as an abnormal level and perform an abnormal analysis on the fuel tank level.

[0067] The abnormal fuel consumption warning module is used to perform an oil level abnormal warning based on the oil change event when performing an abnormal analysis on the fuel tank level; the abnormal fuel consumption warning module includes an abnormal warning unit, and the abnormal warning unit is configured with an abnormal warning strategy. The abnormal warning strategy includes: when performing an abnormal analysis on the fuel tank level, obtain the oil change events that occurred in the latest monitoring interval. When no oil change event occurs, perform an oil level abnormal warning; in the specific implementation process, for example, during an abnormal analysis, if an oil change event occurs in the latest monitoring interval and the oil change power is not within the real-time power interval, then perform an oil level abnormal warning;

[0068] When an oil change event occurs, record the oil change event as a real-time oil change event, obtain the oil change power corresponding to the real-time oil change event. When the oil change power is not within the real-time power interval, perform an oil level abnormal warning; when the oil change power is within the real-time power interval and the real-time fuel consumption share is the oil change share corresponding to the real-time oil change event, record the ratio fluctuation interval obtained when the real-time fuel consumption share is the oil change share corresponding to the real-time oil change event as the real-time fluctuation interval. When the real-time fuel consumption ratio is within the real-time fluctuation interval, record the fuel tank level as a normal level; when the real-time fuel consumption ratio is not within the real-time fluctuation interval, perform an oil level abnormal warning;

[0069] When the oil change power is within the real-time power interval and the real-time fuel consumption share is not the oil change share corresponding to the real-time oil change event, perform an oil level abnormal warning.

[0070] Embodiment 2, Second aspect, please refer to Figure 2 As shown, the present application also provides a method for warning the fuel consumption of a ship based on artificial intelligence analysis, including the following steps:

[0071] Step S1, place a wireless oil level detector in the ship fuel tank, use the wireless oil level detector to obtain the oil level change data in the ship fuel tank when the ship engine is operating, and analyze the oil level change data. Based on the analysis result, obtain the fuel consumption ratio and the ratio fluctuation interval; Step S1 includes the following sub-steps: Step S101, place a wireless oil level detector in the ship fuel tank, and record the oil volume of the ship fuel tank detected by the wireless oil level detector as the ship oil volume; establish a plane rectangular coordinate system, denoted as the engine analysis coordinate system, where the unit of the X-axis of the engine analysis coordinate system is time and the unit of the Y-axis is power; start the ship engine, and record the time between continuously increasing the power of the ship engine from 0 to the maximum power as the up-rate time, and record the time between continuously decreasing the power of the ship engine from the maximum power to 0 as the down-rate time;

[0072] Step S102: Obtain the relationship between the real - time power and time of the ship engine during the rate - increase time, and draw the corresponding curve in the engine analysis coordinate system, denoted as the rate - increase curve; obtain the relationship between the real - time power and time of the ship engine during the rate - decrease time, and draw the corresponding curve in the engine analysis coordinate system, denoted as the rate - decrease curve. Among them, make the starting point of the rate - decrease curve coincide with the ending point of the rate - increase curve, and denote the obtained curve as the power curve.

[0073] Step S103: Establish a plane rectangular coordinate system, denoted as the fuel - tank consumption coordinate system. Among them, the unit of the X - axis of the fuel - tank consumption coordinate system is time, and the unit of the Y - axis is liters; obtain the relationship between the ship fuel quantity and time during the rate - increase time, and draw a curve in the fuel - tank consumption coordinate system, denoted as the fuel - increase curve; obtain the relationship between the ship fuel quantity and time during the rate - decrease time, and draw a curve in the fuel - tank consumption coordinate system, denoted as the fuel - decrease curve. Among them, make the starting point of the fuel - decrease curve coincide with the ending point of the fuel - increase curve, and denote the obtained curve as the fuel - quantity curve.

[0074] Step S104: Establish a plane rectangular coordinate system, denoted as the fuel - consumption analysis coordinate system. Among them, the unit of the X - axis of the fuel - consumption analysis coordinate system is time, and the unit of the Y - axis is power or liters; put the power curve and the fuel - quantity curve into the fuel - consumption analysis coordinate system, and denote the abscissa of the ending point of the power curve and the fuel - quantity curve as Q.

[0075] Step S105: Divide the line segment between the coordinate origin of the fuel - consumption analysis coordinate system and Q into k equal parts on average, and denote them as fuel - consumption parts HY1 to HY k ; For any fuel - consumption part HY k between HY1 and HY k1 , use the fuel - consumption ratio algorithm to obtain the fuel - consumption ratio of the fuel - consumption part HY k1 . The fuel - consumption ratio algorithm is: where F is the fuel - consumption ratio, α max and α min are respectively the maximum value and the minimum value of the slope of the power curve within the fuel - consumption part HY k1 ; β max and β min are respectively the maximum value and the minimum value of the slope of the fuel - quantity curve within the fuel - consumption part HY k1 .

[0076] Step S106: Obtain the fuel - consumption ratios corresponding to all fuel - consumption parts HY.

[0077] Step S107, record the event that causes a change in the ship's fuel quantity due to factors other than the ship's engine during the normal operation of the ship as a fuel change event; for any fuel change event, record the ship's fuel quantity at the time of the fuel change event as the fuel change quantity, record the point on the fuel quantity curve in the fuel consumption analysis coordinate system whose ordinate is the fuel change quantity as the fuel change point, record the straight line parallel to the X-axis where the fuel change point is located as the fuel change line, and record the ordinate of the point where the fuel change line intersects the power curve as the fuel change power. Among them, the fuel change power corresponding to the same fuel change point is not unique; record the ship's fuel quantity at the end of the fuel change event as the end fuel quantity after change. Based on the change in the ship's fuel quantity during the fuel change event, draw a curve to the right from the fuel change point until the ordinate of the curve is the end fuel quantity after change, and record the obtained curve as the fuel change curve; use the fuel change ratio algorithm to obtain the fuel change ratio corresponding to the fuel change event. The fuel change ratio algorithm is: where G is the fuel change ratio, γ max and γ min are the maximum and minimum values of the slope of the power curve within the range where the abscissa of the fuel change curve is located, δ max and δ min are the maximum and minimum values of the slope of the fuel change curve;

[0078] Step S108, record the fuel consumption share HY that coincides with the fuel change curve as the fuel change share, and set the ratio fluctuation range of the fuel consumption ratio of the fuel change share as [t1, t2], where t1 is the fuel consumption ratio minus the fuel change ratio, and t2 is the fuel consumption ratio plus the fuel change ratio;

[0079] Step S109, obtain the fuel change ratios corresponding to all fuel change events. Among them, the same fuel consumption share HY can be recorded as the fuel change share corresponding to multiple fuel change events.

[0080] Step S2, during the operation of the ship's engine, use a wireless oil level detector to monitor the oil level in the ship's fuel tank in real time. Based on the real-time monitoring, obtain a real-time oil quantity curve, and analyze the real-time oil quantity curve based on the fuel consumption ratio and the ratio fluctuation range. The analysis result determines whether to perform an abnormal analysis on the fuel tank oil level; Step S2 includes the following sub-steps: Step S201, during the operation of the ship's engine, use a wireless oil level detector to monitor the oil level in the ship's fuel tank in real time, and draw a power curve and an oil quantity curve in the fuel consumption analysis coordinate system based on the real-time power of the ship's engine and the monitoring result of the wireless oil level detector. Denote the power curve at this time as the real-time power curve, and denote the oil quantity curve at this time as the real-time oil quantity curve; Denote the value of Q divided by k as the monitoring interval. Every time the real-time monitoring duration of the wireless oil level detector passes through a monitoring interval, use the fuel consumption ratio algorithm to obtain the fuel consumption ratio corresponding to the real-time monitoring curve and the real-time oil quantity curve in the latest monitoring interval, denoted as the real-time fuel consumption ratio; Denote the curve corresponding to the latest monitoring interval in the real-time power curve as the monitoring power curve, denote the interval formed by the maximum value and the minimum value of the ordinate of the monitoring power curve as the real-time power interval, denote the interval formed by the maximum value and the minimum value of the ordinate of the fuel consumption part HY as the fuel consumption power interval, and denote the fuel consumption part HY with the largest overlapping area between the fuel consumption power interval and the real-time power interval as the real-time fuel consumption part. Denote the fuel consumption ratio of the real-time fuel consumption part as the comparison ratio;

[0081] Step S202, when the comparison ratio is equal to the real-time fuel consumption ratio, denote the fuel tank oil level as the normal oil level;

[0082] Step S203, when the comparison ratio is not equal to the real-time fuel consumption ratio, denote the fuel tank oil level as the abnormal oil level, and perform an abnormal analysis on the fuel tank oil level.

[0083] Step S3, when performing an abnormal analysis on the fuel tank oil level, issue an oil level abnormal warning based on the oil change event; Step S3 includes the following sub-steps: Step S301, when performing an abnormal analysis on the fuel tank oil level, obtain the oil change event that occurred in the latest monitoring interval. When no oil change event occurs, issue an oil level abnormal warning;

[0084] Step S302, when an oil change event occurs, denote the oil change event as the real-time oil change event, obtain the oil change power corresponding to the real-time oil change event. When the oil change power is not within the real-time power interval, issue an oil level abnormal warning; When the oil change power is within the real-time power interval and the real-time fuel consumption part is the oil change part corresponding to the real-time oil change event, denote the ratio fluctuation range obtained when the real-time fuel consumption part is the oil change part corresponding to the real-time oil change event as the real-time fluctuation range. When the real-time fuel consumption ratio is within the real-time fluctuation range, denote the fuel tank oil level as the normal oil level; When the real-time fuel consumption ratio is not within the real-time fluctuation range, issue an oil level abnormal warning;

[0085] Step S303: When the oil transformer power is within the real-time power range and the real-time fuel consumption is not the oil transformer share corresponding to the real-time oil transformer event, an oil level anomaly warning is issued.

[0086] Embodiment 3. Please refer to Figure 6 as shown in Figure 6 which illustrates a schematic structural diagram of an electronic device. The electronic device may include: a processor, a communication interface, a memory, and a communication bus. Among them, the processor, the communication interface, and the memory complete mutual communication through the communication bus. The memory stores computer-readable instructions. The processor can call the instructions in the memory. When the computer-readable instructions are executed by the processor, the steps in the method for warning the fuel consumption of a ship based on artificial intelligence analysis are run to implement the following functions: First, a wireless oil level detector is placed in the ship's fuel tank. The wireless oil level detector is used to obtain the oil level change data in the ship's fuel tank when the ship's engine is in operation, and the oil level change data is analyzed. Based on the analysis result, the fuel consumption ratio and the ratio fluctuation range are obtained. Also, during the operation of the ship's engine, the wireless oil level detector is used to monitor the oil level in the ship's fuel tank in real time, a real-time oil quantity curve is obtained based on the real-time monitoring, and the real-time oil quantity curve is analyzed based on the fuel consumption ratio and the ratio fluctuation range. The analysis result is used to determine whether to perform an abnormal analysis on the fuel tank oil level. Finally, when an abnormal analysis is performed on the fuel tank oil level, an oil level anomaly warning is issued based on the oil transformer event.

[0087] In addition, when the logical instructions in the above-mentioned memory are implemented in the form of a software functional unit and sold or used as an independent product, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application. The foregoing storage medium includes: various media such as a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk, or an optical disc that can store program codes.

[0088] Embodiment 4. The present application also provides a computer-readable storage medium. The present application provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned ship fuel consumption warning method based on artificial intelligence analysis are run to achieve the following functions: First, place a wireless oil level detector in the ship fuel tank, use the wireless oil level detector to obtain the oil level change data in the ship fuel tank when the ship engine is in operation, analyze the oil level change data, obtain the fuel consumption ratio and the ratio fluctuation range based on the analysis result. Also, during the operation of the ship engine, use the wireless oil level detector to monitor the oil level in the ship fuel tank in real time, obtain the real-time oil quantity curve based on the real-time monitoring, and analyze the real-time oil quantity curve based on the fuel consumption ratio and the ratio fluctuation range. Determine whether to perform abnormal analysis on the fuel tank oil level based on the analysis result. Finally, when performing abnormal analysis on the fuel tank oil level, give an oil level abnormal warning based on the oil change event.

[0089] Through the description of the above embodiments, the embodiments of the present invention can be provided as a method, a system or a computer program product. Based on such an understanding, the above technical solution, in essence, or the part that contributes to the prior art can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0090] In the embodiments provided by the present application, it should be understood that the disclosed system or method can be implemented in other ways. The above-described embodiments are only illustrative. For example, the division of modules or units is only a logical function division, and there can be other division methods in actual implementation. Also, for example, multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed mutual coupling or direct coupling or communication connection can be through some communication interfaces. The indirect coupling or communication connection of systems, modules and units can be in an electrical, mechanical or other form.

[0091] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, and are not intended to limit them. Although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for warning of ship fuel consumption based on artificial intelligence analysis, characterized in that, The steps include: Place a wireless oil level detector in the ship's fuel tank. Use the wireless oil level detector to obtain the oil level change data in the ship's fuel tank when the ship's engine is in operation, and analyze the oil level change data. Based on the analysis results, obtain the fuel consumption ratio and the ratio fluctuation range. This includes obtaining the power curve and the fuel quantity curve, establishing a rectangular coordinate system, denoted as the fuel consumption analysis coordinate system. Among them, the unit of the X-axis of the fuel consumption analysis coordinate system is time, and the unit of the Y-axis is power or liters. Place the power curve and the fuel quantity curve in the fuel consumption analysis coordinate system, and denote the abscissa of the curve end points of the power curve and the fuel quantity curve as Q. Using the wireless oil level detector to obtain the oil level change data in the ship's fuel tank when the ship's engine is in operation, and analyzing the oil level change data. Based on the analysis results, obtaining the fuel consumption ratio and the ratio fluctuation range also includes: Divide the line segment between the origin of the fuel consumption analysis coordinate system and Q into k equal parts on average, and denote the fuel consumption parts as fuel consumption part HY1 to fuel consumption part HY k in sequence from left to right; for any fuel consumption part HY k between fuel consumption part HY1 and fuel consumption part HY k1 , use the fuel consumption ratio algorithm to obtain the fuel consumption ratio of fuel consumption part HY k1 . The fuel consumption ratio algorithm is as follows: where F is the fuel consumption ratio, α max and α min are respectively the maximum value and the minimum value of the slope of the power curve within fuel consumption part HY k1 ; β max and β min are respectively the maximum value and the minimum value of the slope of the fuel quantity curve within fuel consumption part HY k1 . Obtain the fuel consumption ratios corresponding to all fuel consumption parts HY. During the operation of the ship's engine, use the wireless oil level detector to monitor the oil level in the ship's fuel tank in real time. Based on the real-time monitoring, obtain the real-time fuel quantity curve, and analyze the real-time fuel quantity curve based on the fuel consumption ratio and the ratio fluctuation range. The analysis results are used to determine whether to perform an abnormal analysis on the fuel tank oil level. When performing an abnormal analysis on the fuel tank oil level, issue an oil level abnormal warning based on the oil change event.

2. The warning method for ship fuel consumption based on artificial intelligence analysis according to claim 1, characterized in that, Using the wireless oil level detector to obtain the oil level change data in the ship's fuel tank when the ship's engine is in operation, and analyzing the oil level change data. Based on the analysis results, obtaining the fuel consumption ratio and the ratio fluctuation range includes: Place a wireless oil level detector in the ship's fuel tank. Denote the oil quantity of the ship's fuel tank detected by the wireless oil level detector as the ship's oil quantity. Establish a rectangular coordinate system, denoted as the engine analysis coordinate system. Among them, the unit of the X-axis of the engine analysis coordinate system is time, and the unit of the Y-axis is power. Start the ship's engine. Denote the time from when the power of the ship's engine is continuously increased from 0 to the maximum power as the ramp-up time, and denote the time from when the power of the ship's engine is continuously decreased from the maximum power to 0 as the ramp-down time. Obtain the relationship between the real-time power of the ship's engine and time during the ramp-up time, and draw the corresponding curve in the engine analysis coordinate system, denoted as the ramp-up curve. Obtain the relationship between the real-time power of the ship's engine and time during the ramp-down time, and draw the corresponding curve in the engine analysis coordinate system, denoted as the ramp-down curve. Among them, make the curve start point of the ramp-down curve coincide with the curve end point of the ramp-up curve, and denote the obtained curve as the power curve.

3. The method for warning of ship fuel consumption based on artificial intelligence analysis according to claim 2, wherein Using the wireless oil level detector to obtain the oil level change data in the ship's fuel tank when the ship's engine is in operation, and analyzing the oil level change data. Based on the analysis results, obtaining the fuel consumption ratio and the ratio fluctuation range also includes: Establish a plane rectangular coordinate system, denoted as the fuel tank consumption coordinate system. Among them, the unit of the X-axis of the fuel tank consumption coordinate system is time, and the unit of the Y-axis is liters; obtain the relationship between the ship's fuel quantity and time within the lift rate time, and draw a curve in the fuel tank consumption coordinate system, denoted as the lift fuel curve; obtain the relationship between the ship's fuel quantity and time within the drop rate time, and draw a curve in the fuel tank consumption coordinate system, denoted as the drop fuel curve. Among them, the starting point of the drop fuel curve coincides with the ending point of the lift rate curve, and the obtained curve is denoted as the fuel quantity curve.

4. The method for warning of ship fuel consumption based on artificial intelligence analysis according to claim 3, characterized in that Use a wireless oil level detector to obtain the oil level change data in the ship's fuel tank when the ship's engine is in operation, and analyze the oil level change data. Based on the analysis results, obtaining the fuel consumption ratio and the ratio fluctuation range also includes: Record the event that causes the change in the ship's fuel quantity due to factors other than the ship's engine during the normal operation of the ship as an oil change event; for any oil change event, record the ship's fuel quantity at the time of the oil change event as the oil change fuel quantity, record the point on the fuel quantity curve in the fuel consumption analysis coordinate system with the ordinate of the oil change fuel quantity as the oil change point, record the straight line parallel to the X-axis where the oil change point is located as the oil change straight line, and record the ordinate of the intersection point of the oil change straight line and the power curve as the oil change power. Among them, the oil change power corresponding to the same oil change point is not unique; Record the ship's oil quantity at the end of the oil change event as the stop oil quantity. Based on the change in the ship's oil quantity during the oil change event, draw a curve to the right from the oil change point until the ordinate of the curve is the stop oil quantity, and record the obtained curve as the oil change curve; use the oil change ratio algorithm to obtain the oil change ratio corresponding to the oil change event. The oil change ratio algorithm is as follows: where G is the oil change ratio, γ max and γ min are the maximum and minimum values of the slope of the power curve within the range where the abscissa of the oil change curve is located, and δ max and δ min are the maximum and minimum values of the slope of the oil change curve; Record the fuel consumption share HY that coincides with the oil change curve as the oil change share, and set the ratio fluctuation range of the fuel consumption ratio of the oil change share as [t1, t2], where t1 is the fuel consumption ratio minus the oil change ratio, and t2 is the fuel consumption ratio plus the oil change ratio; Obtain the oil change ratios corresponding to all oil change events. Among them, the same fuel consumption share HY can be recorded as the oil change share corresponding to multiple oil change events.

5. The warning method for ship fuel consumption based on artificial intelligence analysis according to claim 4, characterized in that, Use a wireless oil level detector to monitor the oil level in the ship's fuel tank in real time. Based on the real-time monitoring, obtaining the real-time fuel quantity curve includes: During the operation of the ship's engine, use a wireless oil level detector to monitor the oil level in the ship's fuel tank in real time, and draw a power curve and a fuel quantity curve in the fuel consumption analysis coordinate system based on the real-time power of the ship's engine and the monitoring results of the wireless oil level detector. Record the power curve at this time as the real-time power curve, and record the fuel quantity curve at this time as the real-time fuel quantity curve; record the value of Q divided by k as the monitoring interval. Every time the real-time monitoring duration of the wireless oil level detector passes through a monitoring interval, use the fuel consumption ratio algorithm to obtain the fuel consumption ratio corresponding to the real-time monitoring curve and the real-time fuel quantity curve in the latest monitoring interval, denoted as the real-time fuel consumption ratio; Record the curve corresponding to the latest monitoring interval in the real-time power curve as the monitoring power curve, record the interval formed by the maximum value and the minimum value of the ordinate of the monitoring power curve as the real-time power interval, record the interval formed by the maximum value and the minimum value of the ordinate of the fuel consumption share HY as the fuel consumption power interval, and record the fuel consumption share HY with the largest overlapping area between the fuel consumption power interval and the real-time power interval as the real-time fuel consumption share, and record the fuel consumption ratio of the real-time fuel consumption share as the comparison ratio.

6. The method for warning of ship fuel consumption based on artificial intelligence analysis according to claim 5, characterized in that, Based on the fuel consumption ratio and the ratio fluctuation range, analyze the real-time fuel quantity curve. Whether the analysis result determines to perform abnormal analysis on the fuel tank oil level includes: When the comparison ratio is equal to the real-time fuel consumption ratio, record the fuel tank level as the normal level; When the comparison ratio is not equal to the real-time fuel consumption ratio, record the fuel tank level as the abnormal level and conduct an abnormal analysis of the fuel tank level.

7. The warning method for ship fuel consumption based on artificial intelligence analysis according to claim 6, wherein When conducting an abnormal analysis of the fuel tank level, the abnormal fuel level warning based on the fuel change event includes: When conducting an abnormal analysis of the fuel tank level, obtain the fuel change event that occurred in the latest monitoring interval. When no fuel change event occurred, issue an abnormal fuel level warning.

8. The method for warning of ship fuel consumption based on artificial intelligence analysis according to claim 7, characterized in that, When conducting an abnormal analysis of the fuel tank level, the abnormal fuel level warning based on the fuel change event also includes: When a fuel change event occurs, record the fuel change event as the real-time fuel change event, obtain the fuel change power corresponding to the real-time fuel change event. When the fuel change power is not within the real-time power interval, issue an abnormal fuel level warning; when the fuel change power is within the real-time power interval and the real-time fuel consumption share is the fuel change share corresponding to the real-time fuel change event, record the ratio fluctuation interval obtained when the real-time fuel consumption share is the fuel change share corresponding to the real-time fuel change event as the real-time fluctuation interval. When the real-time fuel consumption ratio is within the real-time fluctuation interval, record the fuel tank level as the normal level; when the real-time fuel consumption ratio is not within the real-time fluctuation interval, issue an abnormal fuel level warning; When the fuel change power is within the real-time power interval and the real-time fuel consumption share is not the fuel change share corresponding to the real-time fuel change event, issue an abnormal fuel level warning.

9. A ship fuel consumption warning system based on artificial intelligence analysis is used to implement the ship fuel consumption warning method based on artificial intelligence analysis according to any one of claims 1-8, and is characterized in that, It includes a fuel consumption analysis module, an abnormal fuel consumption judgment module, and an abnormal fuel consumption warning module; The fuel consumption analysis module is used to place a wireless fuel level detector in the ship's fuel tank, use the wireless fuel level detector to obtain the fuel level change data in the ship's fuel tank during the operation of the ship's engine, analyze the fuel level change data, and obtain the fuel consumption ratio and the ratio fluctuation interval based on the analysis results; The abnormal fuel consumption judgment module is used to, during the operation of the ship's engine, use the wireless fuel level detector to monitor the fuel level in the ship's fuel tank in real time, obtain the real-time fuel quantity curve based on the real-time monitoring, and analyze the real-time fuel quantity curve based on the fuel consumption ratio and the ratio fluctuation interval, and judge whether to conduct an abnormal analysis of the fuel tank level based on the analysis results; The abnormal fuel consumption warning module is used to issue an abnormal fuel level warning based on the fuel change event when conducting an abnormal analysis of the fuel tank level.

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