Method, system, equipment and medium for improving carbon emission condition of ship

Abstract

The invention relates to a ship carbon emission condition improvement method, system and device and a medium, and is applied to the technical field of carbon emission monitoring, and the method comprises the steps: obtaining carbon emission index data; determining a carbon strength rating based on the carbon emission indicator data and a carbon strength formula; if the carbon strength grade of the ship is E grade, the economic navigational speed of the ship is calculated; and determining a carbon emission condition improvement strategy based on the economic navigational speed. The method has the effect of improving the efficiency and accuracy of making the carbon emission condition improvement strategy.

Description

Technical Field

[0001] The present application relates to the technical field of carbon emission monitoring, and in particular to a method, system, equipment and medium for improving carbon emission conditions of ships. Background Art

[0002] The shipping industry is a vital component of global trade, but it is also a major source of greenhouse gas emissions. Therefore, reducing carbon emissions from the shipping industry is crucial for achieving global climate goals. Shipping companies need to track and understand the carbon intensity performance of each vessel in their fleets in a timely manner, enabling them to develop targeted energy efficiency management plans for both the company and its vessels.

[0003] Currently, when improving carbon emissions, staff usually develop carbon emission improvement strategies through analysis and calculation. However, faced with a large-scale dry bulk carrier fleet, manual analysis is difficult to process massive amounts of carbon intensity indicator data, and manual analysis is greatly affected by subjective factors, resulting in low efficiency and accuracy in the development of carbon emission improvement strategies. Summary of the Invention

[0004] In order to improve the efficiency and accuracy of carbon emission improvement strategy formulation, the present application provides a method, system, equipment and medium for improving ship carbon emission.

[0005] In the first aspect, the present application provides a method for improving carbon emissions of ships, which adopts the following technical solutions: A method for improving carbon emissions of ships, comprising: Obtain carbon emission index data; Determine a carbon intensity rating based on the carbon emission index data and the carbon intensity formula; If the carbon intensity rating of a ship is E, calculate the economic speed of the ship; A carbon emission improvement strategy is determined based on the economic speed.

[0006] By adopting the above technical solution, the carbon intensity rating is determined based on the carbon emission index data and the carbon intensity formula. For ships with poor performance, that is, ships with a carbon intensity rating of E, the carbon emission improvement strategy is determined by calculating the economic speed. When the ship travels at the economic speed, the carbon emission situation can be greatly improved. Compared with manually formulated carbon emission improvement strategies, the efficiency and accuracy of carbon emission improvement strategy formulation are improved.

[0007] Optionally, calculating the economic speed of the ship includes: Obtaining the voyage information, weather information and historical navigation information of the vessel; The economic speed is calculated based on the voyage information, the weather information, the historical navigation information, and a speed formula, wherein the speed formula includes: V_econ = αg(Y) + βh(W), where V_econ is the economic speed, α and β are weight coefficients, Y includes the voyage information and the historical navigation information, g(Y) is a historical data adjustment function, and the function value of g(Y) is determined based on the voyage information and the historical navigation information, W includes the voyage information and the meteorological information, h(W) is a meteorological factor adjustment function, and the function value of h(W) is determined based on the voyage information and the meteorological information.

[0008] By adopting the above technical solution, the economic speed is calculated by voyage information, historical navigation information and meteorological information, making the economic speed more reasonable, thereby improving the accuracy of the formulation of carbon emission improvement strategies.

[0009] Optionally, the meteorological information includes wave height, wind speed, water flow speed, and visibility, and the meteorological factor adjustment function includes: h(W)=V0+ΔV H +ΔV F +ΔV S +ΔV D , where V0 is the ideal speed of the ship, which is determined based on the voyage information and the first preset rule, ΔV H Indicates the effect of wave height on ship speed, ΔV F Indicates the effect of wind speed on ship speed, ΔV S Indicates the effect of water velocity on ship speed, ΔV D Indicates the impact of visibility on speed.

[0010] By adopting the above technical solution, when calculating the function value of the meteorological factor adjustment function, the ideal speed is first determined based on the voyage information. On the basis of the ideal speed, the influence of wave height, wind speed, water flow speed and visibility on the speed is fully considered, thereby improving the accuracy of the economic speed.

[0011] Optionally, the meteorological factor adjustment function includes: h(W)=V0−k H H+k F ·F·cos(θ)+S−k D (1−D / Dmax) 2 , where V0 is the ideal speed of the ship, k H is the wave height coefficient, which indicates the influence of each unit wave height on the speed, H is the wave height, k Fis the wind speed coefficient, which indicates the degree of influence of wind speed on ship speed, F is the wind speed, θ is the angle between wind direction and ship heading, S is the water flow speed, when downstream, the water flow speed is positive, when upstream, the water flow speed is negative, k D is the visibility coefficient, which indicates the degree of influence of visibility on the speed, D is visibility, and Dmax is the preset visibility parameter.

[0012] Optionally, the historical navigation information includes fuel consumption rate and load rate, and the historical data adjustment function includes: g(Y)=V0+ΔV L +ΔV C , where V0 is the ideal speed of the ship, which is determined based on the voyage information and the first preset rule, ΔV L Indicates the effect of load factor on speed. The load factor is the ratio of the actual load of the ship to the maximum load, ΔV C Indicates the effect of fuel consumption rate on ship speed.

[0013] By adopting the above technical solution, when calculating the function value of the historical data adjustment function, the ideal speed is first determined based on the voyage information. On the basis of the ideal speed, the influence of fuel consumption rate and load rate on the speed is fully considered, thereby improving the accuracy of the economic speed.

[0014] Optionally, the historical data adjustment function includes: g(Y)=V0−k L L+(C-C0) k C , where V0 is the ideal speed of the ship, k L Indicates the degree of influence of load rate on speed, L is load rate, C is fuel consumption rate, C0 is the basic fuel consumption rate, k C Indicates the degree of influence of fuel consumption rate on ship speed.

[0015] Optionally, determining the carbon intensity rating based on the carbon emission index data and the carbon intensity formula includes: Calculating a carbon intensity value based on the carbon intensity formula and the carbon emission index data; determining a carbon intensity rating based on the carbon intensity value and a second predetermined rule; The carbon intensity formula includes: CII = Attained CII / Required CII, where CII is the carbon intensity value; Attained CII = M / W; M=FCj ∙ CFj, where j is the fuel oil type of the ship, FCj is the consumption of type j fuel of the ship in one year, and CFj is the conversion factor between the mass of type j fuel and the mass of CO2; W=C∙Dt, where C is the deadweight tonnage of the ship and Dt is the total distance the ship travels in a year; CII ref =a*Capacity -c , among which, CII ref is the annual benchmark value, a and c are benchmark coefficients, which are obtained based on ship information, and Capacity is the deadweight tonnage of the ship; Required CII=(100-Z)∙ CII ref / 100, where Z is the annual discount rate.

[0016] In a second aspect, the present application provides a system for improving ship carbon emissions, which adopts the following technical solutions: A ship carbon emission improvement system, comprising: Data acquisition module, used to obtain carbon emission index data; a rating determination module, configured to determine a carbon intensity rating based on the carbon emission index data and a carbon intensity formula; a speed calculation module, configured to calculate the economic speed of the ship if the carbon intensity rating of the ship is E; A plan determination module is used to determine a carbon emission improvement strategy based on the economic speed.

[0017] By adopting the above technical solution, the carbon intensity rating is determined based on the carbon emission index data and the carbon intensity formula. For ships with poor performance, that is, ships with a carbon intensity rating of E, the carbon emission improvement strategy is determined by calculating the economic speed. When the ship travels at the economic speed, the carbon emission situation can be greatly improved. Compared with manually formulated carbon emission improvement strategies, the efficiency and accuracy of carbon emission improvement strategy formulation are improved.

[0018] In a third aspect, the present application provides an electronic device, which adopts the following technical solution: An electronic device comprising a processor coupled to a memory; The memory stores a computer program that can be loaded by the processor and executes the method for improving ship carbon emissions as described in any one of the first aspects.

[0019] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium storing a computer program capable of being loaded by a processor and executing the method for improving ship carbon emissions as described in any one of the first aspects. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 This is a flow chart of a method for improving ship carbon emissions provided in an embodiment of the present application.

[0021] Figure 2 This is a structural block diagram of a ship carbon emission improvement system provided in an embodiment of the present application.

[0022] Figure 3 This is a structural block diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0023] The present application is further described in detail below with reference to the accompanying drawings.

[0024] The present invention provides a method for improving ship carbon emissions. This method can be executed by an electronic device, which can be a server or a terminal device. The server can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be, but is not limited to, a smartphone, tablet computer, or desktop computer.

[0025] To make the purpose, technical solutions, and advantages of the embodiments of this application more clear, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0026] In this document, the term "and / or" simply describes a relationship between related objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A exists alone, A and B exist simultaneously, or B exists alone. Furthermore, the character " / " in this document, unless otherwise specified, generally indicates an "or" relationship between the related objects.

[0027] like Figure 1 As shown, a method for improving carbon emissions of ships is described, and the main process of the method is described as follows (steps S101 to S104): Step S101: Acquire carbon emission index data.

[0028] Carbon emission index data is obtained from staff and the International Maritime Organization (IMO) based on the CII carbon intensity formula published by the International Maritime Organization. The carbon emission index data includes: the ship's fuel oil type j, the ship's consumption of type j fuel in one year, the conversion factor between the mass of type j fuel and the mass of CO2, the ship's deadweight tonnage, the total distance the ship sails in one year, the benchmark coefficients a and c, and the annual reduction rate.

[0029] After obtaining the carbon emission index data, the collected carbon emission index data can be deduplicated, data sources can be merged, missing data can be identified, and other operations can be performed through data analysis tools. The data analysis tools can be Excel, Python, or SQL, and there is no specific limitation here.

[0030] Step S102: Determine a carbon intensity rating based on the carbon emission index data and the carbon intensity formula.

[0031] Specifically, determining the carbon intensity rating based on the carbon emission index data and the carbon intensity formula includes: calculating the carbon intensity value based on the carbon intensity formula and the carbon emission index data; and determining the carbon intensity rating based on the carbon intensity value and a second preset rule.

[0032] In this embodiment, the carbon emission index data is input into the carbon intensity formula to obtain the carbon intensity value CII. The second preset rule is the correspondence between the intensity value CII and the carbon intensity rating. The carbon intensity rating of the ship is searched from the second preset rule according to the carbon intensity value. The carbon intensity rating includes five levels: A, B, C, D, and E.

[0033] The carbon intensity formula includes: CII = Attained CII / Required CII, where CII is the carbon intensity value; Attained CII = M / W; M=FCj ∙ CFj, where j is the fuel oil type of the ship, FCj is the consumption of type j fuel of the ship in one year, and CFj is the conversion factor between the mass of type j fuel and the mass of CO2; W=C∙Dt, where C is the deadweight tonnage of the ship and Dt is the total distance the ship travels in a year; CII ref =a*Capacity -c , among which, CII ref is the annual benchmark value, a and c are benchmark coefficients, which are obtained based on ship information, and Capacity is the deadweight tonnage of the ship; Required CII=(100-Z)∙ CII ref / 100, where Z is the annual discount rate.

[0034] Step S103: If the carbon intensity rating of the ship is E, the economic speed of the ship is calculated.

[0035] When a ship's carbon intensity rating is E, it indicates that the ship's current carbon emission performance is poor and strategies need to be adopted to improve carbon emissions. This application calculates the ship's economic speed. When the ship sails at the economic speed, carbon emissions can be improved.

[0036] Specifically, calculating the economic speed of a ship includes: obtaining the ship's voyage information, weather information, and historical navigation information; calculating the economic speed based on the voyage information, weather information, historical navigation information, and a speed formula, the speed formula including: V_econ =αg(Y) + βh(W), wherein V_econ is the economic speed, α and β are weight coefficients, Y includes the voyage information and historical navigation information, g(Y) is a historical data adjustment function, and the function value of g(Y) is determined based on the voyage information and historical navigation information, W includes the voyage information and weather information, h(W) is a weather factor adjustment function, and the function value of h(W) is determined based on the voyage information and weather information.

[0037] In this embodiment, the voyage information and historical navigation information of the ship are obtained from the staff or the database, the meteorological information on the ship's navigation route is obtained from the meteorological department based on the voyage information, the function value of the historical data adjustment function is obtained based on the voyage information and the historical navigation information, the function value of the meteorological factor adjustment function is obtained based on the voyage information and the meteorological information, and the function value of the historical data adjustment function and the function value of the meteorological factor adjustment function are multiplied by the corresponding weight coefficients to obtain the economic speed, wherein the weight coefficient is obtained by training based on the historical voyage information, the historical meteorological information and the historical navigation information, and the training method can be training through a machine learning model. The weight coefficient and the training method are not specifically limited here.

[0038] Specifically, meteorological information includes wave height, wind speed, water flow speed and visibility. The meteorological factor adjustment function includes: h(W)=V0+ΔV H +ΔV F +ΔV S +ΔV D , where V0 is the ideal speed of the ship, which is determined based on the voyage information and the first preset rule, ΔV H Indicates the effect of wave height on ship speed, ΔV F Indicates the effect of wind speed on ship speed, ΔV S Indicates the effect of water velocity on ship speed, ΔV D Indicates the impact of visibility on speed.

[0039] In this embodiment, the starting port and the ending port are searched from the voyage information of the ship, and the voyage mileage is obtained from the database based on the starting port and the ending port. The ideal speed is the speed of the ship when it travels at the rated speed. The first preset rule is a pre-set rule for calculating the voyage time based on the voyage mileage and the rated speed. No specific limitation is made here. The voyage mileage and the rated speed are calculated according to the first preset rule to obtain the voyage time. The ideal speed = voyage mileage / voyage time. When calculating the economic speed, on the basis of the ideal speed, the influence of wave height, wind speed, water speed and visibility on the speed is fully considered, so that the speed under the influence of the current weather can be obtained, that is, the function value of the weather factor adjustment function.

[0040] Furthermore, the meteorological factor adjustment function includes: h(W)=V0−k H H+k F ·F·cos(θ)+S−k D (1−D / Dmax) 2 , where V0 is the ideal speed of the ship, k H The wave height coefficient indicates the influence of each unit wave height on the speed. H is the wave height, k F is the wind speed coefficient, which indicates the degree of influence of wind speed on ship speed. F is the wind speed, θ is the angle between wind direction and ship heading, S is the water flow speed. When going downstream, the water flow speed is positive, and when going upstream, the water flow speed is negative. D is the visibility coefficient, which indicates the influence of visibility on speed. D is visibility and Dmax is the preset visibility parameter.

[0041] In this embodiment, the influence of wave height on ship speed ΔV H =k H H, wave height H usually slows down the ship speed, so the effect of wave height on speed k needs to be subtracted during calculation H H, the effect of wind speed on ship speed ΔV F =k F F cos(θ). The effect of wind speed F on ship speed depends on wind direction. A tailwind increases ship speed, while a headwind reduces it. The ship's heading is obtained from voyage information, and the wind direction is obtained from meteorological information. The angle θ between the wind direction and the ship's heading is calculated. The positive or negative effect of wind speed on ship speed is determined by cos(θ). Water flow speed S directly affects ship speed, and the effect of water flow speed on ship speed is ΔV. S =S, downstream increases speed, upstream reduces speed, visibility affects speed ΔV D =k D (1−D / Dmax) 2, visibility D has little effect on speed, but in the case of extremely low visibility, for safety reasons, the ship needs to reduce the speed, so it is necessary to subtract the impact of visibility on speed, where k H 、k F 、k D and Dmax are preset and are not specifically limited here. For example, Dmax may be 20 nautical miles.

[0042] Specifically, the historical navigation information includes fuel consumption rate and load rate, and the historical data adjustment function includes: g(Y)=V0+ΔV L +ΔV C , where V0 is the ideal speed of the ship, which is determined based on the voyage information and the first preset rule, ΔV L Indicates the effect of load rate on speed. Load rate is the ratio of actual load to maximum load of the ship. ΔV C Indicates the effect of fuel consumption rate on ship speed.

[0043] In this embodiment, the calculation method of the ideal speed is the same as above and will not be repeated here. When calculating the economic speed, on the basis of the ideal speed, the influence of the fuel consumption rate and the load rate on the speed is fully considered to obtain the function value of the historical data adjustment function.

[0044] Furthermore, the historical data adjustment function includes: g(Y)=V0−k L L+(C-C0) k C , where V0 is the ideal speed of the ship, k L Indicates the degree of influence of load rate on speed, L is load rate, C is fuel consumption rate, C0 is the basic fuel consumption rate, k C Indicates the degree of influence of fuel consumption rate on ship speed.

[0045] In this embodiment, the load factor affects the speed ΔV L =k L L, the load rate L will affect the draft and displacement of the ship, and thus affect the resistance. The higher the load rate, the greater the resistance and the slower the speed. The impact of fuel consumption rate on speed ΔV C = (C - C0) k C , the fuel consumption rate C is related to the speed. The faster the speed, the higher the fuel consumption rate. Among them, k L 、k C and C0 are preset and are not specifically limited here.

[0046] Step S104: determining a carbon emission improvement strategy based on the economic speed.

[0047] The strategy to improve carbon emissions is to have ships travel at an economic speed during navigation, thereby reducing carbon emissions and improving carbon emission ratings.

[0048] Figure 2 This is a structural block diagram of a ship carbon emission improvement system 200 provided in an embodiment of the present application.

[0049] like Figure 2 As shown, the ship carbon emission improvement system 200 mainly includes: Data acquisition module 201, used to acquire carbon emission index data; A rating determination module 202 is configured to determine a carbon intensity rating based on carbon emission index data and a carbon intensity formula; The speed calculation module 203 is used to calculate the economic speed of the ship if the carbon intensity rating of the ship is E; The plan determination module 204 is used to determine a carbon emission improvement strategy based on the economic speed.

[0050] As an optional implementation manner of this embodiment, the speed calculation module 203 is also specifically used to calculate the economic speed of the ship, including: obtaining the voyage information, weather information and historical navigation information of the ship; calculating the economic speed based on the voyage information, weather information, historical navigation information and the speed formula, the speed formula including: V_econ =αg(Y) + βh(W), wherein V_econ is the economic speed, α and β are weight coefficients, Y includes voyage information and historical navigation information, g(Y) is a historical data adjustment function, the function value of g(Y) is determined based on the voyage information and historical navigation information, W includes voyage information and weather information, h(W) is a weather factor adjustment function, and the function value of h(W) is determined based on the voyage information and weather information.

[0051] As an optional implementation of this embodiment, meteorological information includes wave height, wind speed, water flow speed and visibility. The speed calculation module 203 is also specifically used for the meteorological factor adjustment function including: h(W)=V0+ΔV H +ΔV F +ΔV S +ΔV D , where V0 is the ideal speed of the ship, which is determined based on the voyage information and the first preset rule, ΔV H Indicates the effect of wave height on ship speed, ΔV F Indicates the effect of wind speed on ship speed, ΔV S Indicates the effect of water velocity on ship speed, ΔV D Indicates the impact of visibility on speed.

[0052] As an optional implementation of this embodiment, the speed calculation module 203 is further specifically used for the meteorological factor adjustment function including: h(W)=V0−k H H+k F ·F·cos(θ)+S−k D (1−D / Dmax) 2 , where V0 is the ideal speed of the ship, k H The wave height coefficient indicates the influence of each unit wave height on the speed. H is the wave height, k F is the wind speed coefficient, which indicates the degree of influence of wind speed on ship speed. F is the wind speed, θ is the angle between wind direction and ship heading, S is the water flow speed. When going downstream, the water flow speed is positive, and when going upstream, the water flow speed is negative. D is the visibility coefficient, which indicates the influence of visibility on speed. D is visibility and Dmax is the preset visibility parameter.

[0053] As an optional implementation of this embodiment, the historical navigation information includes fuel consumption rate and load rate, and the speed calculation module 203 is further specifically used for the historical data adjustment function including: g(Y)=V0+ΔV L +ΔV C , where V0 is the ideal speed of the ship, which is determined based on the voyage information and the first preset rule, ΔV L Indicates the effect of load rate on speed. Load rate is the ratio of actual load to maximum load of the ship. ΔV C Indicates the effect of fuel consumption rate on ship speed.

[0054] As an optional implementation of this embodiment, the speed calculation module 203 is further specifically configured to adjust the historical data function to include: g(Y)=V0−k L L+(C-C0) k C , where V0 is the ideal speed of the ship, k L Indicates the degree of influence of load rate on speed, L is load rate, C is fuel consumption rate, C0 is the basic fuel consumption rate, k C Indicates the degree of influence of fuel consumption rate on ship speed.

[0055] As an optional implementation of this embodiment, the rating determination module 202 is further specifically used to determine the carbon intensity rating based on the carbon emission index data and the carbon intensity formula, including: calculating the carbon intensity value based on the carbon intensity formula and the carbon emission index data; determining the carbon intensity rating based on the carbon intensity value and the second preset rule; the carbon intensity formula includes: CII=Attained CII / Required CII, where CII is the carbon intensity value; Attained CII = M / W; M=FCj∙CFj, where j is the fuel oil type of the ship, FCj is the consumption of type j fuel of the ship in one year, and CFj is the conversion factor of the mass of type j fuel to the mass of CO2; W=C∙Dt, where C is the deadweight tonnage of the ship, and Dt is the total distance the ship sails in one year; CII ref =a*Capacity -c , among which, CII ref is the annual benchmark value, a and c are benchmark coefficients, which are obtained based on ship information, and Capacity is the deadweight tonnage of the ship; Required CII = (100-Z)∙ CII ref / 100, where Z is the annual discount rate.

[0056] In one example, the module in any of the above devices can be one or more integrated circuits configured to implement the above methods, such as: one or more application specific integrated circuits (ASICs), or one or more digital signal processors (DSPs), or one or more field programmable gate arrays (FPGAs), or a combination of at least two of these integrated circuit forms.

[0057] For another example, when the modules in the device can be implemented in the form of a processing element scheduling program, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor capable of calling programs. For another example, these modules can be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0058] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices and modules can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0059] Figure 3This is a structural block diagram of an electronic device 300 provided in an embodiment of the present application.

[0060] like Figure 3 As shown, the electronic device 300 includes a processor 301 and a memory 302 , and may further include an information input / information output (I / O) interface 303 , one or more communication components 304 , and a communication bus 305 .

[0061] The processor 301 is used to control the overall operation of the electronic device 300 to complete all or part of the steps of the above-mentioned method for improving ship carbon emissions. The memory 302 is used to store various types of data to support the operation of the electronic device 300. Such data may include, for example, instructions for any application or method operating on the electronic device 300, as well as application-related data. The memory 302 may be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as one or more of static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk.

[0062] The I / O interface 303 provides an interface between the processor 301 and other interface modules, which may be a keyboard, a mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 304 is used for wired or wireless communication between the electronic device 300 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G or 4G, or a combination of one or more thereof, therefore, the corresponding communication component 304 may include: Wi-Fi components, Bluetooth components, NFC components.

[0063] The electronic device 300 can be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to execute the ship carbon emission improvement method given in the above embodiment.

[0064] Communication bus 305 may include a path for transmitting information between the aforementioned components. Communication bus 305 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, for example. Communication bus 305 may be divided into an address bus, a data bus, a control bus, and the like.

[0065] The electronic device 300 may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., as well as fixed terminals such as digital TVs, desktop computers, etc., and may also be servers, etc.

[0066] The present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned method for improving ship carbon emissions are implemented.

[0067] The computer-readable storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, etc., which can store program codes.

[0068] The terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed or inherent to such process, method, article, or apparatus.

[0069] The above description is merely a preferred embodiment of the present application and an illustration of the technical principles employed. Those skilled in the art should understand that the scope of application involved in this application is not limited to the technical solutions formed by a specific combination of the above-mentioned technical features, but should also cover other technical solutions formed by any combination of the above-mentioned technical features or their equivalents without departing from the aforementioned application concept. For example, a technical solution formed by replacing the above-mentioned features with (but not limited to) technical features with similar functions applied for in this application.

Claims

1. A method for improving carbon emissions from ships, characterized in that: include: Obtain carbon emission indicator data; Determine a carbon intensity rating based on the carbon emission indicator data and the carbon intensity formula; If the carbon intensity rating of the ship is E, the economic speed of the ship is calculated; A strategy for improving carbon emissions is determined based on the economic speed.

2. The method according to claim 1, characterized in that The calculating the economic speed of the ship comprises: Obtaining the voyage information, weather information and historical navigation information of the ship; The economic speed is calculated based on the voyage information, the meteorological information, the historical navigation information and a speed formula, wherein the speed formula includes: V_econ =αg(Y) + βh(W), wherein V_econ is the economic speed, α and β are weight coefficients, Y includes the voyage information and the historical navigation information, g(Y) is a historical data adjustment function, and the function value of g(Y) is determined based on the voyage information and the historical navigation information, W includes the voyage information and the meteorological information, h(W) is a meteorological factor adjustment function, and the function value of h(W) is determined based on the voyage information and the meteorological information.

3. The method according to claim 2, characterized in that The meteorological information includes wave height, wind speed, water flow speed and visibility, and the meteorological factor adjustment function includes: h(W)=V0+ΔV H +ΔV F +ΔV S +ΔV D , where V0 is the ideal speed of the ship, which is determined based on the voyage information and the first preset rule, ΔV H Indicates the effect of wave height on ship speed, ΔV F Indicates the effect of wind speed on ship speed, ΔV S Indicates the effect of water velocity on ship speed, ΔV D Indicates the effect of visibility on ship speed.

4. The method according to claim 3, characterized in that The meteorological factor adjustment function includes: h(W)=V0−k H ·H+k F ·F·cos(θ)+S−k D (1−D / Dmax) 2 , where V0 is the ideal speed of the ship, k H is the wave height coefficient, which indicates the influence of each unit wave height on the speed, H is the wave height, k F is the wind speed coefficient, which indicates the degree of influence of wind speed on ship speed, F is the wind speed, θ is the angle between wind direction and ship heading, S is the water flow speed, when downstream, the water flow speed is positive, when upstream, the water flow speed is negative, k D is the visibility coefficient, which indicates the influence of visibility on the speed, D is the visibility, and Dmax is the preset visibility parameter.

5. The method according to claim 2, characterized in that: The historical navigation information includes fuel consumption rate and load rate, and the historical data adjustment function includes: g(Y)=V0+ΔV L +ΔV C , where V0 is the ideal speed of the ship, which is determined based on the voyage information and the first preset rule, ΔV L Indicates the effect of load factor on speed. The load factor is the ratio of the actual load of the ship to the maximum load. ΔV C Indicates the effect of fuel consumption rate on ship speed.

6. The method according to claim 5, characterized in that The historical data adjustment function includes: g(Y)=V0−k L ·L+(C-C0)·k C , where V0 is the ideal speed of the ship, k L Indicates the influence of load rate on speed, L is load rate, C is fuel consumption rate, C0 is the basic fuel consumption rate, k C Indicates the impact of fuel consumption rate on ship speed.

7. The method according to claim 1, characterized in that Determining the carbon intensity rating based on the carbon emission index data and the carbon intensity formula includes: Calculate the carbon intensity value based on the carbon intensity formula and the carbon emission index data; determining a carbon intensity rating based on the carbon intensity value and a second preset rule; The carbon intensity formula includes: CII = Attained CII / Required CII, where CII is the carbon intensity value; Attained CII = M / W; M=FCj ∙ CFj, where j is the fuel oil type of the ship, FCj is the consumption of type j fuel of the ship in one year, and CFj is the conversion factor between the mass of type j fuel and the mass of CO2; W=C∙Dt, where C is the deadweight tonnage of the ship and Dt is the total distance the ship sails in a year; CII ref =a*Capacity -c , among which, CII ref is the annual benchmark value, a and c are benchmark coefficients, which are obtained based on ship information, and Capacity is the deadweight tonnage of the ship; Required CII=(100-Z)∙ CII ref / 100, where Z is the annual discount rate.

8. A system for improving carbon emissions of ships, characterized in that: include: A data acquisition module is used to obtain carbon emission index data; A rating determination module, used to determine a carbon intensity rating based on the carbon emission index data and a carbon intensity formula; A speed calculation module, used for calculating the economic speed of the ship if the carbon intensity rating of the ship is E; A plan determination module is used to determine a strategy for improving carbon emissions based on the economic speed.

9. An electronic device, characterized in that: comprising a processor coupled to a memory; The processor is configured to execute a computer program stored in the memory, so that the electronic device executes the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The method comprises a computer program or an instruction, which, when executed on a computer, causes the computer to execute the method according to any one of claims 1 to 7.

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