Data processing method and device applied to ship and electronic equipment

Abstract

The invention discloses a data processing method and device applied to a ship and electronic equipment. The method comprises the steps of obtaining a first operation cost of a target ship without an energy storage device within a first historical duration; according to the at least one constraint condition and the optimization objective function, determining a second operation cost of the target ship under the condition that the target ship comprises the energy storage device within a second duration; the at least one constraint condition is determined based on decision variables and basic attribute data of the energy storage device, and the decision variables comprise total diesel oil consumption and total diesel oil power of diesel generators, the number of the diesel generators, battery power generation power and battery electric quantity state; and based on the first operation cost and the second operation cost, determining cost recovery duration information of the target ship under the condition that the energy storage device is installed, so as to determine an application evaluation attribute of the target ship under the condition that the energy storage device is installed based on the cost recovery duration information. By installing the energy storage device for the target ship, the energy efficiency of the ship power system is improved, and the accurate determination of the cost recovery duration is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular, to a data processing method, device and electronic device applied to a ship. Background Art

[0002] The traditional ship power system includes four links: power generation, power transmission, power distribution and power consumption. The diesel generator set in the ship power system generates electricity according to the load demand of the power consumption end. And when the rated power generation of a single diesel generator set does not meet the power load demand of the power consumption end, multiple diesel generator sets can be started for parallel power generation to prevent insufficient power supply from affecting the safe operation of the ship's electrical equipment.

[0003] Currently, in the prior art, power generation is usually carried out according to the power load demand of the power consumption end. However, in the above situation, when the power load demand is low, the diesel generator set will operate at a power lower than its rated power generation. However, in this case, the fuel consumption per kilowatt-hour of the diesel generator set is relatively high, resulting in waste of resources. And the long-term low-power operation of the diesel generator set may cause damage to the diesel generator set. However, if the diesel generator set operates normally at its rated power generation, it will exceed the power load demand, resulting in waste of power resources. Summary of the Invention

[0004] The present invention provides a data processing method, device and electronic device applied to a ship, which improves the energy efficiency of the ship power system and realizes the accurate determination of the cost recovery duration information by installing an energy storage device on the target ship.

[0005] According to an aspect of the present invention, there is provided a data processing method applied to a ship, the method comprising:

[0006] Obtaining a first operating cost of a target ship without an energy storage device within a first historical duration;

[0007] Determining a second operating cost of the target ship with an energy storage device within a second duration according to at least one constraint condition and an optimization objective function; wherein, the at least one constraint condition is determined based on decision variables and basic attribute data of the energy storage device, and the decision variables include the total diesel consumption, total diesel power, number of diesel generators, battery power generation power and battery state of charge of the diesel generator, and the energy storage device is a battery;

[0008] Based on the first operating cost and the second operating cost, determining cost recovery duration information of the target ship when installing the energy storage device, so as to determine an application evaluation attribute of the target ship when installing the energy storage device based on the cost recovery duration information.

[0009] According to another aspect of the present invention, there is provided a data processing device applied to a ship, the device comprising:

[0010] A first operating cost determination module, configured to obtain a first operating cost of a target ship without an energy storage device within a first historical period;

[0011] A second operating cost determination module, configured to determine a second operating cost of the target ship with an energy storage device within a second period according to at least one constraint condition and an optimization objective function; wherein, the at least one constraint condition is determined based on decision variables and basic attribute data of the energy storage device, and the decision variables include the total diesel fuel consumption of a diesel generator, the total diesel power, the number of diesel generators, the battery power generation power, and the battery state of charge, and the energy storage device is a battery;

[0012] An evaluation attribute determination module, configured to determine cost recovery duration information of the target ship with an installed energy storage device based on the first operating cost and the second operating cost, so as to determine an application evaluation attribute of the target ship with an installed energy storage device based on the cost recovery duration information.

[0013] According to another aspect of the present invention, there is provided an electronic device, the electronic device comprising:

[0014] At least one processor; and

[0015] A memory communicatively connected to the at least one processor; wherein,

[0016] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the data processing method applied to a ship according to any embodiment of the present invention.

[0017] According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to implement the data processing method applied to a ship according to any embodiment of the present invention when executed.

[0018] According to another aspect of the present invention, there is provided a computer program product comprising a computer program, characterized in that the computer program implements the data processing method applied to a ship according to any embodiment of the present invention when executed by a processor.

[0019] The technical solution of the embodiment of the present invention obtains the first operating cost of the target ship without an energy storage device within the first historical duration. Based on this, the operating cost of the target ship without installing an energy storage device is obtained. According to at least one constraint condition and an optimization objective function, the second operating cost of the target ship including an energy storage device within the second duration is determined. Wherein, at least one constraint condition is determined according to decision variables and the basic attribute data of the energy storage device. Based on this, the operating cost of the target ship with an energy storage device is determined. According to the first operating cost and the second operating cost, the cost recovery duration information of the target ship with an energy storage device is determined, so as to determine the application evaluation attribute of the target ship with an energy storage device according to the cost recovery duration information. Through the first operating cost and the second operating cost, the duration for which the operating cost of the target ship with an energy storage device can be recovered is determined. Based on this, the evaluation of the operating cost of the target ship with an energy storage device is realized, and the recovery of the fastest ship operating cost of the target ship with an energy storage device is ensured. The present invention solves the problems in the prior art that when generating electricity according to the power load demand, the fuel consumption is high under the low-load operation of the diesel generator, which is not conducive to the health of the equipment, and when the diesel generator set operates normally according to its rated power generation, it will exceed the power load demand and cause waste of power resources, by installing an energy storage device for the target ship. By installing an energy storage device for the target ship, the storage of power resources is realized, and the energy efficiency of the ship's power system is ensured. By calculating the first operating duration of the target ship without an energy storage device and the second operating duration of the target ship with an energy storage device, the cost recovery duration information of the target ship with an energy storage device is determined, so as to achieve the purpose of recovering the operating cost as quickly as possible.

[0020] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present invention, nor is it used to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. Brief Description of the Drawings

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention, and for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0022] Figure 1 is a flowchart of a data processing method applied to a ship provided by an embodiment of the present invention;

[0023] Figure 2 is a flowchart of a data processing method applied to a ship provided by an embodiment of the present invention;

[0024] Figure 3 It is a schematic structural diagram of a data processing device applied to a ship provided by an embodiment of the present invention;

[0025] Figure 4 It is a schematic structural diagram of an electronic device for implementing the data processing method applied to a ship according to an embodiment of the present invention. Detailed implementation manners

[0026] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with 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. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0027] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above drawings are used to distinguish similar objects, and do not necessarily need to be used to describe a specific order or sequence. It should be understood that such data used in appropriate cases can be interchanged so that the embodiments of the present invention described here can be implemented in an order other than those illustrated or described here. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device including a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0028] Embodiment 1

[0029] Figure 1 It is a flowchart of a data processing method applied to a ship provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of installing an energy storage device for a target ship to improve the energy efficiency of the power system. This method can be executed by a data processing device applied to a ship, and the data processing device applied to a ship can be implemented in the form of hardware and / or software. The data processing device applied to a ship can be configured in an electronic device such as a mobile phone, a computer or a server. As Figure 1 shown, the method includes:

[0030] S110. Obtain the first operating cost of the target ship without an energy storage device within the first historical period.

[0031] In the embodiments of the present invention, the recovery duration of the operating cost is determined by calculating the operating cost of the ship with the energy storage device installed and the operating cost of the ship without the energy storage device installed. Since each ship can be processed in the above manner, the currently selected ship can be used as the target ship. The energy storage device can be a device for storing the electric power resources of the target ship. Optionally, the energy storage device can be a battery. For example, the energy storage device can be a lithium battery. The first historical duration can be a historical duration determined according to actual requirements. For example, the first historical duration can be 10 minutes. The first operating cost can be the cost of the fuel consumed by the diesel generator of the target ship during the first historical duration.

[0032] Specifically, a diesel generator is equipped in the target ship to provide electric power resources for the target ship. Based on the number of diesel generators, the fuel consumption of each diesel generator within the first historical duration, and the unit price of the fuel, the first operating cost of the target ship within the first historical duration can be determined when the energy storage device is not installed.

[0033] In the embodiments of the present invention, the method for determining the first operating cost can be: for multiple acquisition moments within the first historical duration, obtain the operating number of the diesel generator, the total power of the diesel generator set, the actual ship fuel consumption, and the linear constraint function corresponding to the acquisition moment, and determine the parameter values in the linear constraint function; based on the parameter values, the actual ship fuel consumption corresponding to multiple acquisition moments, and the unit price of the fuel, determine the first operating cost of the target ship without the energy storage device.

[0034] Among them, the multiple acquisition moments can be multiple moments corresponding to the first historical duration. At each acquisition moment, data of the target ship at that moment will be obtained. The specific data includes: the operating number of the diesel generator, the total power of the diesel generator set, the actual ship fuel consumption, and the linear constraint function. Among them, the operating number of the diesel generator can be understood as the operating number of the diesel generators deployed on the target ship at the current acquisition moment. The diesel generator set can be composed of one or more diesel generators. The total power of the diesel generators can be understood as the total power corresponding to all the diesel generators deployed on the target ship. The actual ship fuel consumption can be understood as the fuel consumption of the target ship at the current acquisition moment. The linear constraint function can be used to calculate the actual ship fuel consumption of the target ship at the acquisition moment. The parameter values are the parameters in the linear constraint function. Optionally, the linear constraint function can be expressed as:

[0035] f i =k n ·P i +b n

[0036] Among them, i represents the i-th acquisition moment within the first historical duration, f iDenote the actual ship fuel consumption at the \(i\)-th acquisition moment, \(n\) represents the number of operating diesel generators, \(k\) n and \(b\) n represent the parameter values of the linear constraint function when the number of operating diesel generators is \(n\). It should be noted that when the number of operating diesel generators is different, the corresponding parameter values are also different. \(P\) i represents the total power of the diesel generator set at the \(i\)-th acquisition moment. The unit price of fuel can be the price of the fuel used by the diesel generator.

[0037] Specifically, if there is a linear relationship between the actual ship fuel consumption and the total power of the diesel generator set of the target ship, a linear constraint function as shown above can be constructed accordingly. For multiple acquisition moments included in the first historical period, obtain the number of operating diesel generators, the total power of the diesel generator set, and the actual ship fuel consumption in the target ship corresponding to the acquisition moments, so as to determine the parameter values in the linear constraint function based on the above data. Based on this, it is convenient to substitute the total power of the diesel generator set obtained later into the linear constraint function to obtain the actual ship fuel consumption. Determine the first operating cost of the target ship without an energy storage device during the first historical period according to the parameter values in the linear constraint function, the actual ship fuel consumption corresponding to all acquisition moments during the first historical period, and the unit price of fuel.

[0038] Exemplarily, it can be considered that there is a linear relationship between the actual ship fuel consumption and the total power of the diesel generator set of the target ship. Let the total number of diesel generators in the target ship be \(N\), the number of operating diesel generators at the \(i\)-th acquisition moment be \(n\), the total power of the diesel generator set be \(P\) i , and the actual ship fuel consumption be \(f\) i , then according to the linear relationship, a linear constraint function as shown below can be constructed:

[0039] \(f\) i = \(k\) n · \(P\) i + \(b\) n

[0040] where \(k\) n and \(b\) n represent the parameter values of the linear constraint function when the number of operating diesel generators is \(n\). The parameter values of the linear constraint function can be obtained by fitting the actual ship fuel consumption, the total power of the diesel generator set, and the number of operating diesel generators at multiple acquisition moments.

[0041] If the unit price of fuel is \(R\) f , then the first operating cost \(C\) f of the target ship without an energy storage device during the first historical period can be determined by the actual ship fuel consumption and the unit price of fuel at all acquisition moments during the first historical period. That is,

[0042]

[0043] Among them, \(i\) represents the \(i\)th acquisition moment within the first historical duration, and \(f\) i represents that the actual ship fuel consumption at the \(i\)th acquisition moment is \(f\) i , \(R\) f represents the unit price of fuel, and \(C\) f represents the first operating cost of the target ship without an energy storage device within the first historical duration.

[0044] S120. Determine the second operating cost of the target ship including an energy storage device within the second duration according to at least one constraint condition and an optimization objective function.

[0045] Among them, at least one constraint condition is determined based on decision variables and basic attribute data of the energy storage device. The decision variables include the total diesel fuel consumption of the diesel generator, the total diesel power, the number of diesel generators, the battery power generation power, and the battery state of charge. The energy storage device is a battery.

[0046] Among them, at least one constraint condition can be understood as the constraint condition that needs to be satisfied when determining the second operating cost. At least one constraint condition can be determined by decision variables and basic attribute data of the energy storage device. Among them, the decision variables include: the total diesel fuel consumption of the diesel generator, the total diesel power, the number of diesel generators, the battery power generation power, and the battery state of charge. The total diesel fuel consumption of the diesel generator can be understood as the total fuel consumption of the diesel generator set corresponding to each moment within the second duration. Optionally, the total diesel fuel consumption of the diesel generator can be determined according to a linear constraint function, the parameter values of the linear constraint function, and the total diesel power. The total diesel power can be understood as the total power of the diesel generator set corresponding to each moment within the second duration. The number of diesel generators can be understood as the number of diesel generators operating at each moment within the second duration. The battery power generation power can be understood as the charge and discharge power of the battery at each moment within the second duration. The battery state of charge can be understood as the state of charge of the battery at each moment within the second duration. It should be noted that the battery in the decision variables is the energy storage device. The basic attribute data of the energy storage device can include at least one battery attribute data such as battery capacity, rated power of the battery, battery charging rate, battery discharge rate, minimum charge state, and maximum charge state.

[0047] The second duration can be a period of time after the target ship deploys the energy storage device. To ensure the comparability of the first operating cost and the second operating cost, the time lengths corresponding to the first historical duration and the second duration are the same. That is, if the first historical duration is 10 minutes, then the second duration is also 10 minutes.

[0048] The optimization objective function can be a function for determining the minimum second operating cost. Since the second operating cost is the operating cost of the target ship after deploying the energy storage device, the second operating cost at least includes at least one of the fuel cost corresponding to the diesel generator, the battery operating cost, and the depreciation cost of the battery life. Optionally, since the battery operating cost is usually a fixed value, without considering the depreciation cost of the battery life, the optimization objective function can be used to determine the minimum value of the fuel cost corresponding to the diesel generator after deploying the energy storage device.

[0049] Specifically, at least one constraint condition is determined according to decision variables such as the total diesel consumption of the diesel generator, the total diesel power, the number of diesel generators, the battery power generation power, and the battery state of charge, and the basic attribute data corresponding to the energy storage device, so as to determine the second operating cost of the target ship under the energy storage device during the second time period according to the optimization objective function under the condition of satisfying at least one constraint condition.

[0050] Optionally, at least one constraint condition includes at least one of the following: obtaining the basic attribute data of the energy storage device, where the basic attribute data includes the battery capacity of the energy storage device, the battery charging rate, the battery capacity, the battery rated power, the battery discharge rate, the minimum charge state, and the maximum charge state; determining the first constraint condition based on the total diesel consumption and the total diesel power in the decision variables; determining the second constraint condition based on the total diesel power and the battery power generation power in the decision variables; determining the third constraint condition based on the total diesel power and the rated power generation power of the diesel generator; determining the fourth constraint condition based on the battery power generation power, the battery rated power, the battery discharge rate, and the battery charging rate in the basic attribute data; determining the fifth constraint condition based on the maximum charge state, the minimum charge state in the basic attribute data, the battery capacity, the battery state of charge, and the battery power generation power in the decision variables; determining the sixth constraint condition according to the number of diesel generators and a preset value.

[0051] Among them, the energy storage device is a battery. For example, the energy storage device can be a lithium battery. The battery capacity of the energy storage device is one of the indicators to measure the battery performance, indicating the total amount of electricity that the battery can release under a certain discharge condition. The battery capacity can be divided into actual capacity, theoretical capacity, and rated capacity. The battery charging rate can be used to measure how fast the battery charges, indicating the current value required for the battery to charge to its rated capacity within a specified time period. The battery rated power can be understood as the maximum power that the battery can provide, used to characterize the maximum output capacity of the battery. The battery discharge rate can be understood as the ratio of the current during battery discharge to the rated capacity, usually expressed in multiples. The minimum charge state is generally understood as the power level that the battery should avoid being lower than during normal use. The maximum charge state can be understood as the state where the battery is fully charged to the rated capacity.

[0052] The total diesel fuel consumption of a diesel generator can be understood as the total fuel consumption of the diesel generator set corresponding to each moment within the second time period. The total diesel power can be understood as the total power of the diesel generator set corresponding to each moment within the second time period. The first constraint condition can be used to characterize the constraint relationship between the total diesel fuel consumption and the total diesel power. The battery power generation can be understood as the charge and discharge power of the battery at each moment within the second time period. The second constraint condition can be used to characterize the power demand that should be satisfied by the sum of the total diesel power and the battery power generation. The rated power generation can be used to characterize the maximum output power that a diesel generator can achieve when operating continuously and stably under specific conditions. The third constraint condition can be used to characterize that the total diesel power cannot exceed the rated power of the diesel generator.

[0053] The battery power generation can be understood as the charge and discharge power of the battery at each moment within the second time period. The fourth constraint condition can be used to characterize the constraint relationship between the battery power generation, the battery rated power, the battery discharge rate, and the battery charge rate. The fifth constraint condition is used to characterize the constraint relationship between the state of charge of the battery, the battery power generation, and the battery capacity, as well as the constraint relationship between the state of charge of the battery and the maximum charge state and the minimum charge state.

[0054] The preset value can be the standard number of diesel generators set in advance. Optionally, the preset value can be 1. The sixth constraint condition can be used to characterize that the number of operating diesel generators needs to exceed the preset value.

[0055] Specifically, basic attribute data such as the battery capacity, the battery charge rate, the battery capacity, the battery rated power, the battery discharge rate, the minimum charge state, and the maximum charge state of the energy storage device of the target ship are obtained. At least one constraint condition is determined based on decision variables such as the total diesel fuel consumption, the total diesel power, the number of diesel generators, the battery power generation, and the state of charge of the battery of the diesel generator and the above basic attribute data of the energy storage device.

[0056] The first constraint condition is determined based on the total diesel fuel consumption and the total diesel power in the decision variables. Optionally, if the total diesel fuel consumption f gi , and the total diesel power P gi , then the first constraint condition can be expressed as:

[0057] f gi =k n ·P gi +b n

[0058] where k n and b n represent the parameter values of the first constraint condition when the number of operating diesel generators is n. It should be noted that k nand b n It is related to the number of operating diesel generators, that is, the parameter values corresponding to different operating numbers are different.

[0059] According to the total diesel power in the decision variables and the battery power generation power in the basic attribute data of the energy storage device, determine the second constraint condition, that is, the sum of the total diesel power and the battery power generation power should meet the power required by the target ship. Optionally, if the total diesel power at the i-th acquisition moment of the second time period is P gi , and the battery power generation power at the i-th acquisition moment of the second time period is P Bi , then the second constraint condition can be expressed as:

[0060] P i =P gi +P Bi

[0061] where P i represents the power required by the target ship at the i-th acquisition moment of the second time period.

[0062] According to the total diesel power in the decision variables and the rated power generation power of the diesel generator, determine the third constraint condition, that is, the total diesel power does not exceed its rated power generation power.

[0063] P gi ≤P e

[0064] where P e represents the rated power generation power of the diesel generator.

[0065] According to the battery power generation power in the decision variables, the battery rated power, the battery discharge rate, and the battery charge rate in the basic attribute data, determine the limit condition of the battery charge and discharge power, that is, the fourth constraint condition. Optionally, the fourth constraint condition can be expressed as:

[0066] P r ·R d ≤P Bi ≤P r ·R c

[0067] where P r represents the battery rated power, R d represents the battery discharge rate, R c represents the battery charge rate, and P Bi represents the battery power generation power at the i-th acquisition moment of the second time period. It should be noted that when the battery power generation power P Bi is a positive number, it means the battery is in the charging state; when the battery power generation power P Bi is a negative number, it means the battery is in the discharging state.

[0068] Determine the charging state constraint conditions of the battery according to the maximum charging state, minimum charging state in the basic attribute data, and the battery power state in the decision variables. Determine the relationship constraint conditions between the battery charging state and the battery power according to the battery capacity in the basic attribute data, the battery power state in the decision variables, and the battery power generation power. Determine the charging state constraint conditions and the relationship constraint conditions as the fifth constraint conditions. Optionally, the charging state constraint conditions can be expressed as:

[0069] SOC L ≤SOC i ≤SOC H

[0070] Among them, SOC L represents the minimum charging state of the battery, SOC H represents the maximum charging state of the battery, and SOC i represents the battery power state at the i-th acquisition moment of the second time period.

[0071] The relationship constraint conditions can be expressed as:

[0072]

[0073] Among them, SOC i represents the battery power state at the i-th acquisition moment of the second time period, SOC0 represents the battery power state when i = 0. SOC i-1 represents the battery power state at the (i - 1)-th acquisition moment of the second time period. C b represents the battery capacity. P Bi represents the battery power generation power at the i-th acquisition moment of the second time period. Take the charging state constraint conditions and the relationship constraint conditions as the fifth constraint conditions.

[0074] Considering the safety of the power system of the target ship, the power system of the target ship cannot be powered only by the battery, and at least a preset number of diesel generators should be in operation. Determine the sixth constraint conditions according to the preset value and the number of diesel generators. Among them, the number of diesel generators can be understood as the number of operating diesel generators at the corresponding acquisition moment. Optionally, the sixth constraint conditions can be expressed as:

[0075] n gi ≥1

[0076] Among them, n gi represents the number of operating diesel generators at the i-th acquisition moment of the second time period. 1 is the constraint value.

[0077] S130. Based on the first operating cost and the second operating cost, determine the cost recovery duration information of the target ship with the energy storage device installed, so as to determine the application evaluation attribute of the target ship with the energy storage device installed based on the cost recovery duration information.

[0078] Among them, the cost recovery duration information can be used to characterize how long it takes for the target ship to recover the operating cost. The application evaluation attribute can be used to characterize the necessity of installing the energy storage device on the target ship. That is, through the application evaluation attribute, the corresponding staff can determine whether to install the energy storage device on the target ship.

[0079] Specifically, according to the first operating cost and the second operating cost, the cost recovery duration information of the target ship with the energy storage device installed can be determined. Optionally, the cost recovery duration information can be determined by the following function.

[0080]

[0081] Among them, C f represents the first operating cost. J represents the second operating cost, t represents the time interval between the i-th acquisition moment and the (i + 1)-th acquisition moment. T represents the cost recovery duration information. According to the cost recovery duration information, the application evaluation attribute of the target ship with the energy storage device installed can be determined, that is, it can enable the corresponding staff to determine whether to install the energy storage state in the power system of the target ship according to the cost recovery duration information.

[0082] The technical solution of this embodiment is to obtain the first operating cost of the target ship without an energy storage device within the first historical duration. Based on this, the operating cost of the target ship without installing an energy storage device is obtained. According to at least one constraint condition and an optimization objective function, the second operating cost of the target ship including an energy storage device within the second duration is determined. Among them, at least one constraint condition is determined according to decision variables and the basic attribute data of the energy storage device. Based on this, the operating cost of the target ship with an energy storage device is determined. According to the first operating cost and the second operating cost, the cost recovery duration information of the target ship with an energy storage device is determined, so as to determine the application evaluation attribute of the target ship with an energy storage device according to the cost recovery duration information. Through the first operating cost and the second operating cost, the duration for which the operating cost of the target ship with an energy storage device can be recovered is determined. Based on this, both the evaluation of the operating cost of the target ship with an energy storage device is realized, and the fastest recovery of the operating cost of the target ship with an energy storage device is ensured. The present invention solves the problems in the prior art that the high fuel consumption under the low-load operation of the diesel generator caused by generating electricity according to the power load demand is not conducive to the health of the equipment, and the normal operation of the diesel generator set according to its rated power generation will exceed the power load demand and cause waste of power resources by installing an energy storage device for the target ship. By installing an energy storage device for the target ship, both the storage of power resources and the energy efficiency of the ship's power system are ensured. By calculating the first operating duration of the target ship without an energy storage device and the second operating duration of the target ship with an energy storage device, the cost recovery duration information of the target ship with an energy storage device is determined to achieve the purpose of the fastest recovery of the operating cost.

[0083] Embodiment 2

[0084] Figure 2 FIG. is a flowchart of a data processing method applied to a ship provided in Embodiment 2 of the present invention. Based on the above embodiment, before determining the second operating cost according to the constraint condition and the optimization objective function, the optimization objective function can be determined first. The specific implementation manner can refer to the technical solution of this embodiment. Among them, the same or corresponding technical terms as those in the above embodiment will not be elaborated here. As Figure 2 shown, the method includes:

[0085] S210. Obtain the first operating cost of the target ship without an energy storage device within the first historical duration.

[0086] S220. Determine an optimization objective function based on at least one of fuel cost, battery operating cost, and depreciation cost of the energy storage device.

[0087] Among them, the fuel cost can be understood as the diesel cost consumed by the diesel generator under the second time period. The battery operation cost can be the battery cost determined according to the unit price and capacity of the battery. The energy storage device is the battery. The depreciation cost can be understood as the battery life depreciation cost during the use of the battery. Optionally, the optimization objective function can be determined by at least one of the fuel cost, the battery operation cost, and the depreciation cost of the energy storage device.

[0088] Specifically, according to the number of diesel generators, the total diesel fuel consumption, and the total diesel power under the second time period, the fuel cost corresponding to the second time period can be determined. According to the battery capacity and the unit price of the battery, the battery operation cost corresponding to the second time period can be determined. According to the charge-discharge efficiency of the battery, the unit price of the battery, and the battery power generation power, etc. under the second time period, the battery life depreciation cost, that is, the depreciation cost of the energy storage device, can be determined. The optimization objective function is determined according to at least one of the fuel cost, the battery operation cost, and the depreciation cost of the energy storage device.

[0089] In the embodiment of the present invention, the way to determine the fuel cost can be: according to the number of diesel generators, the total diesel power, and the unit price of fuel at multiple moments within the second time period, determine the fuel cost under the second time period.

[0090] Among them, the number of diesel generators can be understood as the number of diesel generators operating at each acquisition moment in the second time period. The total diesel fuel consumption can be understood as the total fuel consumption of the diesel generator set corresponding to each acquisition moment in the second time period. The total diesel power can be understood as the total power of the diesel generator set corresponding to each acquisition moment under the second time period.

[0091] Specifically, according to the number of diesel generators operating at each acquisition moment under the second time period, determine the parameter values of the linear constraint function corresponding to each acquisition moment under the second time period. According to the total diesel power and the parameter values of the linear constraint function at each acquisition moment under the second time period, determine the total diesel fuel consumption corresponding to each acquisition moment under the second time period. According to the total diesel fuel consumption corresponding to all acquisition moments under the second time period and the unit price of fuel, determine the fuel cost under the second time period.

[0092] Optionally, taking the number of diesel generators operating at the i-th acquisition moment in the second time period as n, the parameter values of the corresponding linear constraint function can be expressed as k n and b n . According to the parameter values of the linear constraint function and the total diesel power P gi at the i-th acquisition moment in the second time period, determine the total diesel fuel consumption f gi at the i-th acquisition moment under the second time period. Specifically, it can be shown as the following formula:

[0093] f gi =k n ·Pgi +b n

[0094] where f gi represents the total diesel fuel consumption at the i-th collection moment during the second time period, k n and b n represent the parameter values of the linear constraint function when the number of diesel generators is n. P gi represents the total diesel power at the i-th collection moment during the second time period.

[0095] Determine the fuel cost corresponding to the second time period according to the total diesel fuel consumption and the fuel unit price corresponding to each collection moment during the second time period. Specifically, it can be shown as the following formula:

[0096]

[0097] where C gf represents the fuel cost corresponding to the second time period t. i represents the i-th collection moment within the second time period t, C gfi represents the fuel cost corresponding to the i-th collection moment within the second time period, R f represents the fuel unit price, and f gi represents the total diesel fuel consumption at the i-th collection moment during the second time period.

[0098] In an embodiment of the present invention, the determination method of the battery operation cost can be: determining the battery operation cost based on the battery capacity and the battery unit price of the energy storage device.

[0099] Among them, the battery operation cost can be the product result between the battery capacity and the battery unit price. The battery unit price can be understood as the battery price per kilowatt-hour.

[0100] Specifically, multiply the battery capacity and the battery unit price corresponding to the energy storage device to obtain the battery operation cost. Optionally, the battery operation cost can be determined through the following function:

[0101] C B =R B ·C b

[0102] where C b represents the battery capacity, R B represents the battery unit price, and C B represents the battery operation cost.

[0103] In an embodiment of the present invention, the determination method of the depreciation cost can be: determining the depreciation cost based on the battery unit price, the charging efficiency, the discharging efficiency, the preset parameters, and the battery power generation power of the energy storage device.

[0104] Among them, the charging efficiency of the energy storage device, that is, the battery charging efficiency, can be understood as the ratio of the electrical energy absorbed by the battery from the power source to the electrical energy put into the battery under given charging conditions. The discharging efficiency of the energy storage device, that is, the battery discharging efficiency, can be understood as the ratio of the electrical energy released from the battery interior to the electrical energy actually output by the battery. The preset parameter can be a preset parameter value.

[0105] Specifically, multiply the discharging efficiency, charging efficiency, and preset parameter corresponding to each acquisition moment at the second time period to obtain a first calculation result. Determine the first ratio data of the battery unit price relative to the first calculation result at each acquisition moment in the second time period. Multiply the battery power generation power and the first ratio data corresponding to each acquisition moment in the second time period to obtain a second calculation result. Sum up the second calculation results corresponding to each acquisition moment in the second time period to determine the depreciation cost of the energy storage device at the second time period.

[0106] Optionally, the depreciation cost can be determined by the following function:

[0107]

[0108] Among them, C M represents the depreciation cost at the second time period t, i represents the i-th acquisition moment in the second time period, t represents the second time period, C Mi represents the depreciation cost at the i-th acquisition moment in the second time period, a and b are preset parameters, C b m-1 represents the (m - 1)-th power of the battery capacity C b , m is a preset exponential parameter, η ch represents the charging efficiency of the energy storage device, η dis represents the discharging efficiency of the energy storage device, 2aC b m-1 η ch η dis represents the first calculation result mentioned above. R B represents the battery unit price. represents the first ratio data mentioned above. P Bi represents the battery power generation power at the i-th acquisition moment in the second time period. represents the second calculation result mentioned above.

[0109] It should be noted that in order to eliminate the dimensional differences among the fuel cost, battery operation cost, and depreciation cost of the energy storage device, the following functions can be used to normalize these three items respectively.

[0110]

[0111] Since the normalization methods of fuel cost, battery operation cost, and depreciation cost of the energy storage device are similar, the current normalization process is described for fuel cost. In the above function, C n represents the fuel cost at a certain acquisition moment after normalization, and C x represents the fuel cost at this acquisition moment during the second time period, and C max represents the maximum fuel cost among the fuel costs corresponding to each acquisition moment during the second time period, and C min represents the minimum fuel cost among the fuel costs corresponding to each acquisition moment during the second time period.

[0112] Based on the above, according to at least one of the fuel cost C gf , the battery operation cost C B , and the depreciation cost C M of the energy storage device, an optimization objective function is determined as shown in the following formula.

[0113] minJ=(C gf +C B +C M )

[0114] where J represents the second operation cost. It should be noted that the optimization objective function can be simplified according to actual needs, that is, the fuel cost C gf , the battery operation cost C B , and the depreciation cost C M of the energy storage device can be ignored or simplified. For example, in the case of not considering the battery depreciation cost C M , since the battery operation cost C B is usually a fixed value. Then the optimization objective function can be determined by the fuel cost C gf . That is,

[0115]

[0116] Since the unit price of fuel R f is a fixed value, the above optimization objective function can be simplified to

[0117] S230. Based on the data values at each acquisition moment within the second time period in different dimensions, at least one constraint condition, and the optimization objective function, determine the second operation cost under the installation of the energy storage device.

[0118] Among them, the data values in different dimensions can be the data values in each dimension required to determine the second operation cost. Optionally, the data values in different dimensions can include the decision variables corresponding to each acquisition moment during the second time period, the basic attribute data of the energy storage device, the unit price of fuel, the unit price of the battery, the charging efficiency of the energy storage device, the discharge efficiency, and the numerical values of preset parameters, etc.

[0119] Specifically, substitute the data values at each acquisition moment within the second time period in different dimensions into the optimization objective function, and solve the optimization objective function under the condition of satisfying at least one constraint condition to obtain the second operating cost. Among them, when solving the optimization objective function, a particle swarm algorithm or other heuristic algorithms can be used, and linearization processing can be performed on the optimization objective function and at least one constraint condition for solution. This embodiment does not limit the solution method.

[0120] S240. Based on the first operating cost and the second operating cost, determine the cost recovery duration information of the target ship when installing the energy storage device, so as to determine the application evaluation attribute of the target ship when installing the energy storage device based on the cost recovery duration information.

[0121] The technical solution of this embodiment obtains the first operating cost of the target ship without the energy storage device within the first historical time period. Based on this, the operating cost of the target ship without installing the energy storage device is obtained. Determine the optimization objective function based on at least one of the fuel cost, the battery operating cost, and the depreciation cost of the energy storage device. Substitute the data values at each acquisition moment within the second time period in different dimensions into the optimization objective function, and solve the optimization objective function under the condition of satisfying at least one constraint condition to obtain the second operating cost, achieving the accurate determination of the operating cost of the target ship when installing the energy storage device. According to the first operating cost and the second operating cost, determine the cost recovery duration information of the target ship when installing the energy storage device, so as to determine the application evaluation attribute of the target ship when installing the energy storage device based on the cost recovery duration information. Through the first operating cost and the second operating cost, the duration for recovering the operating cost of the target ship when installing the energy storage device is determined. Based on this, both the evaluation of the operating cost of the target ship when installing the energy storage device is realized, and the fastest recovery of the operating cost of the target ship when installing the energy storage device is ensured. The present invention solves the problems in the prior art that the high fuel consumption under low load operation of the diesel generator caused by generating electricity according to the power load demand is not conducive to the health of the equipment, and when the diesel generator set operates normally according to its rated power generation, it will exceed the power load demand and cause waste of power resources by installing an energy storage device for the target ship. By installing an energy storage device for the target ship, both the storage of power resources and the energy efficiency of the ship's power system are ensured. By calculating the first operating duration of the target ship without installing the energy storage device and the second operating duration of the target ship when installing the energy storage device, the cost recovery duration information of the target ship when installing the energy storage device is determined to achieve the purpose of the fastest recovery of the operating cost.

[0122] Embodiment III

[0123] Figure 3It is a schematic structural diagram of a data processing device applied to a ship provided in Embodiment 3 of the present invention. As Figure 3 shown, the device includes: a first operating cost determination module 310, a second operating cost determination module 320, and an evaluation attribute determination module 330.

[0124] The first operating cost determination module 310 is configured to obtain the first operating cost of the target ship without an energy storage device within the first historical duration; the second operating cost determination module 320 is configured to determine the second operating cost of the target ship with an energy storage device within the second duration according to at least one constraint condition and an optimization objective function; wherein, the at least one constraint condition is determined based on decision variables and basic attribute data of the energy storage device, the decision variables include the total diesel consumption, total diesel power, number of diesel generators, battery power generation power, and battery state of charge of the diesel generator, and the energy storage device is a battery; the evaluation attribute determination module 330 is configured to determine the cost recovery duration information of the target ship with the energy storage device installed based on the first operating cost and the second operating cost, so as to determine the application evaluation attribute of the target ship with the energy storage device installed based on the cost recovery duration information.

[0125] The technical solution of this embodiment is to obtain the first operating cost of the target ship without an energy storage device within the first historical duration. Based on this, the operating cost of the target ship without installing an energy storage device is obtained. According to at least one constraint condition and the optimization objective function, the second operating cost of the target ship with an energy storage device within the second duration is determined. Among them, at least one constraint condition is determined according to the decision variable and the basic attribute data of the energy storage device. Based on this, the operating cost of the target ship with an energy storage device is determined. According to the first operating cost and the second operating cost, the cost recovery duration information of the target ship with an energy storage device is determined, so as to determine the application evaluation attribute of the target ship with an energy storage device according to the cost recovery duration information. Through the first operating cost and the second operating cost, the duration for which the operating cost of the target ship with an energy storage device can be recovered is determined. Based on this, the evaluation of the operating cost of the target ship with an energy storage device is realized, and the fastest recovery of the operating cost of the target ship with an energy storage device is ensured. The present invention solves the problems in the prior art that when generating electricity according to the power load demand, the fuel consumption is high under the low-load operation of the diesel generator, which is not conducive to the health of the equipment, and when the diesel generator set operates normally according to its rated power generation, it will exceed the power load demand and cause waste of power resources, by installing an energy storage device for the target ship. By installing an energy storage device for the target ship, the storage of power resources is realized and the energy efficiency of the ship's power system is ensured. By calculating the first operating duration of the target ship without an energy storage device and the second operating duration of the target ship with an energy storage device, the cost recovery duration information of the target ship with an energy storage device is determined, so as to achieve the purpose of the fastest recovery of the operating cost.

[0126] On the basis of the above embodiment, optionally, the first operating cost determination module is configured to, for multiple acquisition moments within the first historical duration, obtain the number of operating diesel generators, the total power of the diesel generator sets, the actual ship fuel consumption, and the linear constraint function corresponding to the acquisition moment, and determine the parameter values in the linear constraint function; based on the parameter values, the actual ship fuel consumption corresponding to multiple acquisition moments, and the fuel unit price, determine the first operating cost of the target ship without an energy storage device.

[0127] Optionally, the device further includes: a constraint condition determination module, configured to obtain the basic attribute data of the energy storage device, where the basic attribute data includes the battery capacity, battery charging rate, battery capacity, battery rated power, battery discharge rate, minimum charge state, and maximum charge state of the energy storage device; determine the first constraint condition based on the total diesel fuel consumption and total diesel power in the decision variables; determine the second constraint condition based on the total diesel power and battery power generation in the decision variables; determine the third constraint condition based on the total diesel power and the rated power generation of the diesel generator; determine the fourth constraint condition based on the battery power generation, the battery rated power, battery discharge rate, and battery charging rate in the basic attribute data; determine the fifth constraint condition based on the maximum charge state, minimum charge state in the basic attribute data, battery capacity, battery power state, and battery power generation in the decision variables; and determine the sixth constraint condition according to the number of diesel generators and a preset value.

[0128] Optionally, the device further includes: an optimization objective function determination module, configured to determine an optimization objective function based on at least one of the fuel cost, battery operating cost, and depreciation cost of the energy storage device.

[0129] Optionally, the device further includes: a fuel cost determination module, configured to determine the fuel cost during the second time period according to the number of diesel generators, total diesel power, and fuel unit price at multiple moments during the second time period.

[0130] Optionally, the device further includes: a battery operating cost determination module, configured to determine the battery operating cost based on the battery capacity and battery unit price of the energy storage device.

[0131] Optionally, the device further includes: a depreciation cost determination module, configured to determine the depreciation cost based on the battery unit price, charge efficiency, discharge efficiency, preset parameters, and battery power generation of the energy storage device.

[0132] Optionally, the second operating cost determination module is configured to determine the second operating cost with the energy storage device installed based on the data values at different dimensions at each acquisition moment during the second time period, at least one constraint condition, and the optimization objective function.

[0133] The data processing device applied to a ship provided by an embodiment of the present invention can execute the data processing method applied to a ship provided by any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the method.

[0134] Embodiment 4

[0135] Figure 4FIG. 0 is a schematic structural diagram of an electronic device provided in Embodiment 4 of the present invention. The electronic device 10 is intended to represent various forms of digital computers, such as, for example, laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as, for example, personal digital assistants, cellular telephones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely exemplary and are not intended to limit the implementation of the invention described and / or claimed herein.

[0136] As Figure 4 shown, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc. The memory stores a computer program executable by the at least one processor. The processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0137] A plurality of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0138] The processor 11 may be various general-purpose and / or special-purpose processing components having processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as the data processing method applied to a ship.

[0139] In some embodiments, the data processing method applied to a ship can be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the data processing method applied to a ship described above can be executed. Alternatively, in other embodiments, the processor 11 can be configured to execute the data processing method applied to a ship by any other suitable means (e.g., by means of firmware).

[0140] The various embodiments of the systems and techniques described above in this document can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-chip (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a dedicated or general-purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit the data and instructions to the storage system, the at least one input device, and the at least one output device.

[0141] The computer program for implementing the data processing method applied to a ship of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to the processor of a general-purpose computer, a dedicated computer, or other programmable data processing devices, such that when the computer programs are executed by the processor, the functions / operations specified in the flowchart and / or block diagram are implemented. The computer programs can be executed entirely on the machine, partially on the machine, as an independent software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0142] Embodiment 5

[0143] Embodiment 5 of the present invention further provides a computer-readable storage medium storing computer instructions for causing a processor to execute a data processing method applied to a ship, the method including:

[0144] Obtain the first operating cost of the target ship without an energy storage device within the first historical duration; determine the second operating cost of the target ship with an energy storage device within the second duration according to at least one constraint condition and an optimization objective function; wherein, the at least one constraint condition is determined based on decision variables and the basic attribute data of the energy storage device, and the decision variables include the total diesel fuel consumption of the diesel generator, the total diesel power, the number of diesel generators, the battery power generation power, and the battery state of charge, and the energy storage device is a battery; based on the first operating cost and the second operating cost, determine the cost recovery duration information of the target ship when installing the energy storage device, so as to determine the application evaluation attributes of the target ship when installing the energy storage device based on the cost recovery duration information.

[0145] In the context of the present invention, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0146] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0147] The systems and techniques described herein can be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected with each other by digital data communication in any form or medium (e.g., a communication network). Examples of communication networks include: local area network (LAN), wide area network (WAN), blockchain network, and the Internet.

[0148] The computing system can include clients and servers. The clients and servers are generally far from each other and typically interact through a communication network. The client-server relationship is created by computer programs running on respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system, and solves the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services.

[0149] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps recited in the present invention can be executed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved, and no limitation is made herein.

[0150] The above specific embodiments do not constitute a limitation on the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims

1. A data processing method applied to a ship, characterized in that, Including: Obtain the first operating cost of the target ship without an energy storage device within the first historical duration; Determine the second operating cost of the target ship including an energy storage device within the second duration according to at least one constraint condition and an optimization objective function; wherein, the at least one constraint condition is determined based on decision variables and basic attribute data of the energy storage device, and the decision variables include the total diesel fuel consumption, total diesel power, number of diesel generators, battery power generation, and battery state of charge of the diesel generator, and the energy storage device is a battery; Based on the first operating cost and the second operating cost, determine the cost recovery duration information of the target ship when installing the energy storage device, so as to determine the application evaluation attribute of the target ship when installing the energy storage device based on the cost recovery duration information.

2. The method according to claim 1, wherein The obtaining of the first operating cost of the target ship without an energy storage device within the first historical duration includes: For multiple acquisition moments within the first historical duration, obtain the operating number of the diesel generator, the total power of the diesel generator set, the actual ship fuel consumption, and a linear constraint function corresponding to the acquisition moment, and determine the parameter values in the linear constraint function; Based on the parameter values, the actual ship fuel consumption corresponding to the multiple acquisition moments, and the fuel unit price, determine the first operating cost of the target ship without the energy storage device.

3. The method according to claim 1, wherein The at least one constraint condition includes at least one of the following: Obtain the basic attribute data of the energy storage device, wherein the basic attribute data includes the battery capacity, battery charge rate, battery capacity, battery rated power, battery discharge rate, minimum charge state, and maximum charge state of the energy storage device; Determine a first constraint condition based on the total diesel fuel consumption and total diesel power in the decision variables; Determine a second constraint condition based on the total diesel power and battery power generation in the decision variables; Determine a third constraint condition based on the total diesel power and the rated power generation of the diesel generator; Determine a fourth constraint condition based on the battery power generation, the battery rated power in the basic attribute data, the battery discharge rate, and the battery charge rate; Determine a fifth constraint condition based on the maximum charge state, minimum charge state in the basic attribute data, the battery capacity, the battery state of charge and battery power generation in the decision variables; Determine a sixth constraint condition according to the number of diesel generators and a preset value.

4. The method according to claim 1, wherein It further includes: Determine the optimization objective function based on at least one of the fuel cost, battery operating cost, and depreciation cost of the energy storage device.

5. The method according to claim 4, wherein Determining the fuel cost includes: According to the number of diesel generators, total diesel power, and fuel unit price at multiple moments within the second duration, determine the fuel cost at the second duration.

6. The method according to claim 4, wherein Determining the battery operating cost includes: Based on the battery capacity and battery unit price of the energy storage device, determine the battery operating cost.

7. The method according to claim 4, wherein Determining the depreciation cost includes: Based on the battery unit price, charge efficiency, discharge efficiency, preset parameters, and battery power generation of the energy storage device, determine the depreciation cost.

8. The method according to claim 4, characterized in that, Determining the second operating cost of the target ship including an energy storage device within a second time period according to at least one constraint condition and an optimization objective function includes: Based on the data values in different dimensions at each acquisition moment within the second time period, the at least one constraint condition, and the optimization objective function, determining the second operating cost with the energy storage device installed.

9. A data processing device applied to a ship, characterized in that, Including: A first operating cost determination module for obtaining the first operating cost of the target ship without an energy storage device within a first historical time period; A second operating cost determination module for determining the second operating cost of the target ship including an energy storage device within a second time period according to at least one constraint condition and an optimization objective function; wherein, the at least one constraint condition is determined based on decision variables and basic attribute data of the energy storage device, and the decision variables include the total diesel fuel consumption of the diesel generator, the total diesel power, the number of diesel generators, the battery power generation power, and the battery state of charge, and the energy storage device is a battery; An evaluation attribute determination module for determining the cost recovery duration information of the target ship with the energy storage device installed based on the first operating cost and the second operating cost, so as to determine the application evaluation attribute of the target ship with the energy storage device installed based on the cost recovery duration information.

10. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the data processing method applied to a ship according to any one of claims 1-8.

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