Ship cargo management system and method, electronic equipment and storage medium

Abstract

The invention discloses a ship cargo management system and method, electronic equipment and a storage medium, and the system comprises a data acquisition subsystem, a cargo state analysis subsystem and a cargo management subsystem, the acquisition module is used for acquiring cargo management associated data corresponding to cargoes to be managed loaded by a ship at the current moment and weather forecast information on a ship route of the ship; the cargo state analysis subsystem is used for determining the current cargo state and the predicted cargo state of the to-be-managed cargo according to the cargo management associated data and the weather forecast information; and the cargo management subsystem is used for determining a cargo management measure corresponding to the to-be-managed cargo according to the current cargo state and / or the predicted cargo state corresponding to the to-be-managed cargo so as to manage the to-be-managed cargo based on the cargo management measure. According to the technical scheme, the effect of effectively managing the liquefied natural gas cargo loaded in the ship in the ship transportation process is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of LNG ship management, and in particular to a ship cargo management system, method, electronic equipment and storage medium. Background Art

[0002] As the carbon emission standards for ships become more and more stringent, reducing carbon emissions from ships has become one of the key points of operations. Compared with other new energy fuels, LNG (liquefied natural gas) as a marine fuel technology is more mature, with higher safety and economy, and can effectively reduce carbon emissions by about 25%. Therefore, more and more shipowners choose to equip new ships with LNG fuel systems. Whether it is an LNG carrier, LNG bunkering ship or a ship using LNG as fuel, it will face the challenge of LNG cargo management.

[0003] In the related art, for a ship loaded with LNG, during the voyage of the ship, it may not be possible to effectively manage the LNG cargo loaded on the ship, and it may be impossible to timely understand the status of the LNG cargo in the ship, which may lead to an excessively high LNG loss rate during the voyage of the ship, affecting the safe transportation of LNG. Summary of the invention

[0004] The present invention provides a ship cargo management system, method, electronic device and storage medium to achieve the effect of effectively managing the liquefied natural gas cargo loaded on the ship during the ship transportation process, and further achieve the effect of real-time understanding of the cargo status of the loaded liquefied natural gas cargo during the ship transportation process so as to implement cargo management measures in a timely manner.

[0005] According to one aspect of the present invention, a ship cargo management system is provided, which comprises: a data acquisition subsystem, a cargo status analysis subsystem and a cargo management subsystem, wherein:

[0006] The data acquisition subsystem is used to acquire cargo management related data corresponding to the cargo to be managed loaded on the ship at the current moment and weather forecast information on the route where the ship is located; wherein the ship uses the cargo to be managed as fuel; the cargo to be managed includes liquefied natural gas; the cargo management related data is the actual collected data required to manage the cargo to be managed; the weather forecast information includes the marine weather forecast of the ocean where the ship is located;

[0007] The cargo status analysis subsystem is used to determine the current cargo status and predicted cargo status corresponding to the cargo to be managed at the current moment according to the cargo management related data and the weather forecast information; wherein the current cargo status includes the cargo consumption status; the predicted cargo status includes the cargo termination physical property status and the cargo sloshing status;

[0008] The cargo management subsystem is used to determine the cargo management measures corresponding to the cargo to be managed at the current moment according to the current cargo status and / or the predicted cargo status, so as to manage the cargo to be managed based on the cargo management measures.

[0009] According to another aspect of the present invention, a method for managing ship cargo is provided, the method comprising:

[0010] The cargo management associated data corresponding to the cargo to be managed loaded on the ship at the current moment and the weather forecast information on the route where the ship is located are obtained through the data acquisition subsystem; wherein the ship uses the cargo to be managed as fuel; the cargo to be managed includes liquefied natural gas; the cargo management associated data is the actual collected data required to manage the cargo to be managed; the weather forecast information includes the marine weather forecast of the ocean where the ship is located;

[0011] The cargo state analysis subsystem determines the current cargo state and predicted cargo state corresponding to the cargo to be managed at the current moment according to the cargo management related data and the weather forecast information; wherein the current cargo state includes the cargo consumption state; and the predicted cargo state includes the cargo termination physical property state and the cargo sloshing state;

[0012] The cargo management subsystem determines cargo management measures corresponding to the cargo to be managed at the current moment according to the current cargo status and / or the predicted cargo status, so as to manage the cargo to be managed based on the cargo management measures.

[0013] According to another aspect of the present invention, an electronic device is provided, 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 ship cargo management method described in any embodiment of the present invention.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the ship cargo management method described in any embodiment of the present invention when executed.

[0018] The embodiment of the present invention provides a ship cargo management system, including: a data acquisition subsystem, a cargo status analysis subsystem and a cargo management subsystem, wherein the data acquisition subsystem is used to acquire cargo management related data corresponding to the cargo to be managed loaded on the ship at the current moment and weather forecast information on the route of the ship; the cargo status analysis subsystem is used to determine the current cargo status and predicted cargo status corresponding to the cargo to be managed at the current moment according to the cargo management related data and the weather forecast information; the cargo management subsystem is used to determine the cargo management measures corresponding to the cargo to be managed at the current moment according to the current cargo status and / or the predicted cargo status, so as to treat the cargo to be managed based on the cargo management measures. The management solves the problem that the relevant technologies cannot effectively manage the LNG cargo loaded on the ship and cannot timely understand the status of the LNG cargo in the ship, which leads to excessively high LNG loss rate during the navigation of the ship and affects the safe transportation of LNG. The effective management of the liquefied natural gas cargo loaded on the ship during the ship transportation is achieved, and then the cargo status of the loaded liquefied natural gas cargo is understood in real time during the ship transportation so as to implement cargo management measures in time. On the basis of meeting the requirements of cargo transportation and delivery, the ineffective loss of cargo in the transportation process is effectively controlled and reduced, thereby improving the safety and economic benefits of cargo transportation.

[0019] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended 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

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0021] Figure 1 This is a schematic diagram of the structure of a ship cargo management system provided according to Embodiment 1 of the present invention;

[0022] Figure 2 This is a schematic diagram of the structure of a liquefied natural gas cargo management system provided according to Embodiment 1 of the present invention;

[0023] Figure 3 is a flow chart of a method for ship cargo management provided according to Embodiment 2 of the present invention;

[0024] Figure 4It is a structural schematic diagram of an electronic device for implementing the ship cargo management method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0026] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0027] Embodiment 1

[0028] Figure 1 This is a ship cargo management system provided by the first embodiment of the present invention. This embodiment can be applied to the situation where cargo loaded on a ship is managed during the operation of the ship. Figure 1 As shown, the ship cargo management system 10 provided in this embodiment includes: a data acquisition subsystem 101, a cargo status analysis subsystem 102 and a cargo management subsystem 103. The structural composition of the ship cargo management system 10 of this embodiment is described in detail below.

[0029] Among them, the data acquisition subsystem 101 is used to obtain the cargo management related data corresponding to the cargo to be managed loaded on the ship at the current moment and the weather forecast information on the route of the ship; the cargo status analysis subsystem 102 is used to determine the current cargo status and predicted cargo status corresponding to the cargo to be managed at the current moment according to the cargo management related data and the weather forecast information; the cargo management subsystem 103 is used to determine the cargo management measures corresponding to the cargo to be managed according to the current cargo status and predicted cargo status corresponding to the cargo to be managed, so as to manage the cargo to be managed based on the cargo management measures.

[0030] Among them, the ship cargo management system 10 can be a system configured on a ship for managing the cargo loaded in the ship. It should be noted that the ship cargo management system 10 is connected to the cargo management system set on the shore through wireless communication. That is to say, in the case of obtaining cargo management related data and weather forecast information based on the ship cargo management system 10, the acquired cargo management related data and weather forecast information can be sent to the cargo management system set on the shore through wireless communication, so as to display the cargo management related data and weather forecast information based on the visual interface included in the cargo management system. Further, in the case of determining the current cargo state and predicted cargo state corresponding to the cargo to be managed at the current moment based on the ship cargo management system 10, the determined current cargo state and predicted cargo state can be sent to the cargo management system set on the shore, so as to display the current cargo state and predicted cargo state of the cargo to be managed based on the visual interface included in the cargo management system.

[0031] Among them, the data acquisition subsystem 101 can be a subsystem in the ship cargo management system 10 for acquiring actual collected data in the ship. The data acquisition subsystem 101 can be a subsystem for collecting and summarizing the actual collected data collected by the sensors installed on the ship. The ship can be any ship, and optionally, it is a ship fueled by the cargo to be managed loaded in the ship. The cargo to be managed can be cargo loaded in the ship and needs to be managed during the voyage to control and reduce cargo damage. Optionally, the cargo to be managed includes liquefied natural gas (LNG). Exemplarily, the ship can be an LNG transport ship, an LNG bunkering ship, and a ship fueled by LNG. The cargo management associated data is the actual collected data required to manage the cargo to be managed. The cargo management associated data can be data detected by sensors pre-set on the ship. The cargo management associated data can include multiple data associated with the cargo to be managed. Optionally, the cargo management associated data can include data such as the initial cargo physical property state, cargo loading information, historical gas consumption of the cargo to be managed within a preset time before the current moment, and historical gas generation associated data. Exemplarily, the cargo management related data include the pressure, cargo temperature, cargo level, temperature of each preset measuring point of the cargo hold loaded with the cargo to be managed, the gas consumption, inlet temperature and inlet pressure of the gas consumption equipment, the speed, inlet and outlet pressure and inlet and outlet temperature of the gas supply BOG compressor, the inlet and outlet temperature of the LNG evaporator, the inlet and outlet temperature of the BOG preheater, the inlet and outlet temperature of the gas buffer tank, the temperature and pressure of the liquid phase pipe for cargo loading and unloading, the temperature and pressure of the gas phase pipe for cargo loading and unloading, the speed, power, inlet and outlet pressure and inlet and outlet temperature of the BOG compressor for cargo loading and unloading, the power, inlet and outlet pressure and inlet and outlet temperature of the cryogenic device, the power, inlet and outlet pressure and inlet and outlet temperature of the reliquefaction device, and the gas consumption, inlet and outlet pressure and inlet and outlet temperature of the gas condensing heat exchanger (GCU). The route of the ship is the route for the ship to transport cargo between two or more ports. The meteorological forecast information can be information obtained by predicting the weather conditions in a certain period of time in the future according to the changing laws of various meteorological elements in the atmosphere. The meteorological forecast information can include meteorological information associated with the environment in which the ship is located. Optionally, the meteorological forecast information includes the marine meteorological forecast of the ocean in which the ship is located. Marine weather forecast is the forecast of ocean temperature and wind and wave conditions in the future. For example, marine weather forecast includes ocean waves (including wave height, wave direction and wave period, etc.), tides, tidal currents, storm surges, earthquake tsunamis, water temperature, salinity, density, speed of sound, sea ice, ocean currents and strong winds, typhoons, sea fog, visibility, etc.

[0032] In this embodiment, when the relevant data is obtained based on the detection of the sensor installed on the ship, the relevant data obtained by the detection can be collected at the current moment based on the data acquisition subsystem 101 in the ship cargo management system 10, and the collected data is used as the cargo management related data corresponding to the cargo to be managed loaded on the ship at the current moment, and the weather forecast information on the route of the ship is obtained based on the data acquisition subsystem 101. Further, the acquired cargo management related data and weather forecast information can be sent to the cargo status analysis subsystem 102 based on the data acquisition subsystem 101.

[0033] Among them, the cargo status analysis subsystem 102 can be a subsystem for analyzing the cargo status of the cargo loaded in the ship based on the collected cargo management related data and weather forecast information. The cargo status analysis subsystem 102 can be used to analyze the current cargo status of the cargo to be managed, and can also be used to predict the predicted cargo status of the cargo to be managed at a future time. The current cargo status can be the cargo status characterized by the cargo to be managed at the current time. Optionally, the current cargo status includes the cargo consumption status. The cargo consumption status can be used to characterize the consumption of the cargo to be managed as fuel. Specifically, the cargo consumption status can be used to characterize whether the generation and consumption of the cargo to be managed as fuel are balanced. The predicted cargo status can be the cargo status predicted by the cargo to be managed at a future time. Optionally, the predicted cargo status includes the termination cargo physical property status and the cargo sloshing status. The termination cargo physical property status can be used to characterize the physical property status corresponding to the cargo to be managed at the end of the voyage. The physical property status is the physical property status of the cargo to be managed. Optionally, the final cargo physical property state includes the final pressure of the cargo hold, the final temperature of the liquid cargo in the cargo hold, the final liquid level of the liquid cargo in the cargo hold, the final density of the liquid cargo in the cargo hold, etc.

[0034] In this embodiment, when the cargo state analysis subsystem 102 receives the cargo management related data corresponding to the cargo to be managed at the current moment and the weather forecast information of the route of the ship sent by the data acquisition subsystem, the current cargo state of the cargo to be managed at the current moment can be analyzed according to the cargo management related data and the weather forecast information, and the predicted cargo state of the cargo to be managed at the future moment can be predicted according to the cargo management related data and the weather forecast information. Further, the determined current cargo state and predicted cargo state can be sent to the cargo management subsystem 103.

[0035] Among them, the cargo management subsystem 103 can be a subsystem that manages the cargo according to the cargo status so that the cargo status of the managed cargo can meet the preset cargo status standard. The cargo management subsystem 103 can determine the cargo management measures corresponding to the cargo to be managed based on the current cargo status and / or predicted cargo status of the cargo to be managed. The cargo management measures can be a series of specific methods and actions taken to ensure the quality, safety, efficiency and cost-effectiveness of the cargo. In this embodiment, the cargo management measures can include state adjustment measures that directly adjust the state of the cargo to be managed, and can also include environmental adjustment measures that adjust the external environment of the cargo to be managed (for example, changing the route, etc.).

[0036] In this embodiment, when the cargo management subsystem 103 receives the current cargo status and predicted cargo status corresponding to the cargo to be managed at the current moment, the current cargo status and predicted cargo status can be analyzed. Further, the cargo management measures corresponding to the cargo to be managed at the current moment can be determined according to the current cargo status and / or predicted cargo status, so as to manage the cargo to be managed based on the cargo management measures.

[0037] In this embodiment, the cargo state analysis subsystem 102 can analyze the predicted cargo state of the cargo to be managed according to the cargo management related data and the weather forecast information. The cargo management related data can include the initial cargo physical property state. The predicted cargo state can include the final cargo physical property state.

[0038] Optionally, the cargo management associated data includes the initial cargo physical property status; the cargo status analysis subsystem 102 includes: a physical property prediction module 1021; wherein the physical property prediction module 1021 is used to predict multiple terminal cargo physical property statuses corresponding to the cargo to be managed based on the initial cargo physical property status and weather forecast information; the cargo management subsystem 103 is used to determine the status adjustment measures for the cargo to be managed based on the multiple terminal cargo physical property statuses, so as to adjust the cargo to be managed based on the status adjustment measures.

[0039] The initial cargo physical property state can be understood as the physical property state corresponding to when the cargo to be managed is initially loaded onto the ship and the ship has not yet started sailing. Optionally, the initial cargo physical property state includes the initial pressure of the cargo hold, the initial temperature of the liquid cargo in the cargo hold, the initial liquid level of the liquid cargo in the cargo hold, the initial density of the liquid cargo in the cargo hold, etc.

[0040] As an optional implementation of this embodiment, the cargo state analysis subsystem 102 includes a physical property prediction module 1021. When the initial cargo physical property state corresponding to the cargo to be managed and the weather forecast information on the route where the cargo to be managed are located are obtained based on the data acquisition subsystem 101, the initial cargo physical property state and the weather forecast information can be input into the physical property prediction module 1021. Further, the initial cargo physical property state and the weather forecast information can be processed based on the physical property prediction module 1021 to predict multiple terminal cargo physical property states corresponding to the cargo to be managed. Further, the cargo management subsystem 103 can determine the state adjustment measures corresponding to the cargo to be managed at the current moment based on the multiple terminal cargo physical property states, so as to adjust the cargo to be managed based on the state adjustment measures.

[0041] In this embodiment, the initial cargo physical property state and weather forecast information can be processed according to a preset physical property prediction method to predict the final cargo physical property state. The preset physical property prediction method can be any method that can predict the final cargo physical property state. Optionally, the initial cargo physical property state and weather forecast information are processed according to a final state prediction model to predict the final cargo physical property state.

[0042] Optionally, the physical property prediction module 1021 is specifically used to input the initial cargo physical property state, weather forecast information and a plurality of predetermined cargo navigation states into a pre-trained final state prediction model to obtain the final cargo physical property state corresponding to the cargo to be managed under a plurality of cargo navigation final states.

[0043] Among them, the cargo navigation state can be a cargo physical property state that may exist in the cargo to be managed during the navigation process, which is determined by pre-simulation. Optionally, the cargo navigation state includes cargo hold navigation pressure, liquid cargo navigation temperature in the cargo hold, liquid cargo navigation level in the cargo hold, liquid cargo navigation density in the cargo hold, etc. The final state prediction model can be a neural network model that takes the initial cargo physical property state, weather forecast information and multiple cargo navigation states as input objects to predict the final cargo physical property state based on the input objects. In this embodiment, the final state prediction model can be set according to actual needs, for example, it can include a linear neural network, etc. The final state prediction model can be trained based on the initial cargo physical property state, cargo navigation state, final cargo physical property state corresponding to multiple sample cargoes and the weather forecast information of the route corresponding to the sample cargoes.

[0044] As an optional implementation mode of the present embodiment, when the physical property prediction module 1021 obtains the initial cargo physical property state, weather forecast information and multiple predetermined cargo navigation states, the initial cargo physical property state, weather forecast information and multiple cargo navigation states can be input into a pre-trained final state prediction model to process the input information based on the final state prediction model and output the final cargo physical property state corresponding to the cargo to be managed under each cargo navigation state.

[0045] In this embodiment, the cargo management subsystem 103 can determine the optimal cargo navigation state based on multiple terminal cargo physical property states. Further, the state of the cargo to be managed can be adjusted according to the cargo navigation state.

[0046] Optionally, the cargo management subsystem 103 includes: a cargo navigation status determination module 1031 and a cargo status adjustment module 1032; the cargo navigation status determination module 1031 is used to determine the target cargo predicted final state that meets the preset cargo final state standard from multiple terminal cargo physical property states, and use the cargo navigation state corresponding to the target cargo predicted final state as the target cargo navigation state; the cargo status adjustment module 1032 is used to determine the status adjustment measures corresponding to the cargo to be managed according to the target cargo navigation state, and adjust the cargo to be managed based on the status adjustment measures, so that the adjusted navigation state of the cargo to be managed reaches the target cargo navigation state.

[0047] The preset cargo final state standard may be a pre-set standard for determining whether the cargo final state meets cargo delivery requirements and safety requirements. Optionally, the preset cargo final state standard includes at least one of a cargo hold maximum pressure limit, a cargo hold liquid cargo temperature limit, a cargo hold maximum liquid level limit, liquid cargo temperature matching, and liquid cargo density matching.

[0048] As an optional implementation of this embodiment, when the physical property state of the terminated cargo corresponding to each cargo navigation state of the cargo to be managed is obtained, the multiple physical property states of the terminated cargo can be input into the cargo management subsystem 103. Further, the cargo navigation state determination module 1031 in the cargo management subsystem 103 can be used to compare each physical property state of the terminated cargo with the preset cargo final state standard, so as to determine the physical property state of the terminated cargo that meets the preset cargo final state standard from the multiple physical property states of the terminated cargo, and use the determined physical property state of the terminated cargo as the predicted final state of the target cargo. Further, the cargo navigation state corresponding to the predicted final state of the target cargo can be used as the target cargo navigation state. Further, the cargo state adjustment module 1032 in the cargo management subsystem 103 can be used to determine the state adjustment measures corresponding to the cargo to be managed according to the target cargo navigation state, and adjust the state of the cargo to be managed according to the state adjustment measures. Then, the cargo navigation state of the cargo to be managed after adjustment reaches the target cargo navigation state. Furthermore, the cargo to be managed is controlled to be transported in the target cargo navigation state, so that the final cargo physical property state corresponding to the cargo to be managed when the transportation is completed can meet the preset cargo final state standard to the greatest extent.

[0049] Generally, the sloshing of cargo to be managed may affect the structural strength of the cargo hold and aggravate the generation of gas, thereby increasing the difficulty of cargo management. In view of this situation, in this embodiment, the cargo sloshing state of the cargo to be managed can be predicted based on the acquired cargo management related data and weather forecast information, so as to predict in advance whether the cargo to be managed will have sloshing beyond expectations in the future after the current moment.

[0050] Optionally, the cargo management associated data includes cargo loading information; the cargo status analysis subsystem 102 includes: a sloshing prediction module 1022; wherein the sloshing prediction module 1022 is used to determine the cargo natural frequency corresponding to the cargo to be managed according to the cargo loading information, determine the wave vibration frequency of the ocean where the ship is located according to the marine meteorological forecast, and predict the cargo sloshing state corresponding to the cargo to be managed within a preset time after the current moment according to the preset sloshing resonance information, the cargo natural frequency and the wave vibration frequency.

[0051] Among them, the cargo loading information may be the cargo loading amount corresponding to the cargo to be managed at the current moment. The cargo natural frequency may refer to the inherent vibration frequency of the cargo under a specific environment. Optionally, when the cargo to be managed is liquid natural gas, the cargo natural frequency may be the liquid natural frequency. The liquid natural frequency may be used to describe the frequency characteristics of the liquid during free vibration. The wave vibration frequency may refer to the number of times the wave fluctuates in a unit time, which determines the periodicity and vibration characteristics of the wave. The sloshing resonance information may be information obtained by analyzing historical data to characterize the resonance relationship between the cargo sloshing and the cargo natural frequency and the wave vibration frequency. The sloshing resonance information may be used to characterize at which frequencies the cargo natural frequency and the wave vibration frequency the cargo and the wave will resonate; and at which frequencies the cargo natural frequency and the wave vibration frequency the cargo and the wave will not resonate. It can be understood that if the wave vibration frequency is close to the cargo natural frequency, a resonance phenomenon will occur. At this time, the cargo to be managed will vibrate with a larger amplitude, affecting the cargo stability of the cargo to be managed. Furthermore, in order to ensure the stability of the goods to be managed, the occurrence of resonance can be predicted and avoided by predicting the swaying state of the goods. The preset time length can be any time length, and optionally, it can be 3 hours, 5 hours, or 10 hours. The swaying state of the goods can be any information that can characterize the swaying of the goods, and optionally, it can be the swaying amplitude of the goods, the swaying frequency of the goods, or the phase difference of the swaying of the goods.

[0052] As an optional implementation of this embodiment, when the cargo management-related data acquired by the data acquisition subsystem 101 includes cargo loading information, the cargo loading information and the marine meteorological forecast can be sent to the sloshing prediction module 1022 in the cargo state analysis subsystem 102. Further, the cargo natural frequency corresponding to the cargo to be managed can be determined based on the cargo loading information and the predetermined cargo loading frequency corresponding information based on the sloshing prediction module 1022. And, the wave vibration frequency of the ocean where the ship is located can be determined based on the marine meteorological forecast and the predetermined ocean frequency corresponding information based on the sloshing prediction module 1022. Further, the sloshing resonance state corresponding to the cargo natural frequency and the wave vibration frequency can be determined based on the preset sloshing resonance information, and the cargo sloshing state corresponding to the cargo to be managed within a preset time length after the current moment can be determined based on the sloshing resonance state. Among them, the sloshing resonance state can be used to characterize whether there is a resonance phenomenon between the cargo to be managed and the waves.

[0053] In this embodiment, when the cargo swaying state of the cargo to be managed within a preset time period after the current moment is determined, the cargo management subsystem 103 can determine cargo management measures for the cargo to be managed according to the cargo swaying state.

[0054] Optionally, the cargo management subsystem 103 includes: a cargo sloshing response module 1033; wherein the cargo sloshing response module 1033 is used to initiate preset sloshing response measures when the cargo sloshing status is that the sloshing information exceeds a preset sloshing standard.

[0055] The sloshing information may include at least one of the cargo sloshing amplitude, cargo sloshing frequency or cargo sloshing phase difference. The preset sloshing standard may be a pre-set standard for determining whether the cargo sloshing exceeds the cargo sloshing requirement. The sloshing countermeasures may be countermeasures taken when the cargo sloshing information exceeds the preset sloshing standard to ensure that the cargo sloshing information is within the preset sloshing standard. Optionally, the sloshing countermeasures include adjusting the route to a route where the wave vibration frequency is not close to the natural frequency of the cargo or adjusting the cargo loading information.

[0056] As an optional implementation of this embodiment, when the cargo swaying status is obtained, the cargo swaying status can be analyzed based on the cargo swaying response module 1033. Furthermore, when the cargo swaying status is that the swaying information exceeds the preset swaying standard, the preset swaying response measures can be activated to make the swaying information in the cargo swaying status within the preset swaying standard.

[0057] In this embodiment, for ships that use the cargo to be managed as fuel, in order to reduce cargo damage and fuel loss, the consumption status of the cargo to be managed can be analyzed during the transportation of the cargo to be managed.

[0058] Optionally, the cargo management related data include historical gas consumption and historical gas generation related data of the cargo to be managed within a second preset time period before the current moment; the cargo status analysis subsystem 102 includes a consumption analysis module 1023; wherein the consumption analysis module 1023 is used to determine the historical gas generation of the cargo to be managed within the second preset time period based on the historical gas generation related data, and determine the cargo consumption status corresponding to the cargo to be managed based on the historical gas consumption and the historical gas generation.

[0059] Among them, the historical gas consumption can be the total gas consumption of the cargo to be managed within the second preset time before the current moment, and the total gas consumption is the total gas consumed by the cargo to be managed as fuel by the ship. Optionally, the historical gas consumption includes at least one of the main engine gas consumption, auxiliary engine gas consumption, boiler gas consumption, and gas condensing heat exchanger (GCU) gas consumption. The historical gas consumption can be obtained based on sensor detection. The second preset time can be any time, and optionally, it is 3 hours, 5 hours, 10 hours or 24 hours. The historical gas generation associated data can be understood as the data required to determine the historical gas generation corresponding to the cargo to be managed. The historical gas generation can be the total gas generated by the cargo to be managed within the second preset time before the current moment. The cargo consumption state includes cargo consumption balance or cargo consumption imbalance. Cargo consumption balance can indicate that the gas generation and gas consumption are equal. Cargo consumption imbalance can indicate that the gas generation and gas consumption are not equal. Cargo consumption imbalance can include gas generation greater than gas consumption or gas generation less than gas consumption.

[0060] As an optional implementation mode of this embodiment, when the cargo management related data acquired by the data acquisition subsystem 101 includes the historical gas consumption and historical gas generation related data of the cargo to be managed within the second preset time period before the current moment, the historical gas consumption and historical gas generation related data can be sent to the consumption analysis module 1023 in the cargo status analysis subsystem 102. Further, the historical gas generation related data can be processed based on the consumption analysis module 1023 to obtain the historical gas generation of the cargo to be managed within the second preset time period before the current moment. Further, the historical gas generation and the historical gas consumption can be compared to determine the cargo consumption status corresponding to the cargo to be managed.

[0061] In this embodiment, the gas generation based on the cargo to be managed may include two situations, namely, when the cargo hold pressure is stable and there is no forced evaporation, the boil-off gas (BOG) generation is the gas generation; or, in the case of forced evaporation, the BOG forced evaporation is the gas generation. These two situations may exist at the same time, that is, the gas generation is the sum of the BOG generation and the BOG forced evaporation. These two situations may also exist separately, that is, the gas generation is the BOG generation or the BOG forced evaporation. The BOG evaporation amount and the BOG forced evaporation amount can be determined based on different historical gas generation-related data, respectively, and then, the generation amount included in the final historical gas generation can be determined by determining the data included in the acquired historical gas generation-related data.

[0062] Optionally, the historical gas generation associated data includes first generation associated data and / or second generation associated data; the consumption analysis module 1023 includes a first gas generation amount determination unit 10231, a second gas generation amount determination unit 10232 and / or a third gas generation amount determination unit 10233; wherein the first gas generation amount determination unit 10231 is used to determine the first historical gas generation amount corresponding to the goods to be managed according to the first generation associated data when the historical gas generation associated data includes the first generation associated data but does not include the second generation associated data, and use the first historical gas generation amount as the historical gas consumption; the second gas generation amount determination unit 10232 is used to determine the first historical gas generation amount corresponding to the goods to be managed according to the first generation associated data when the historical gas generation associated data includes the first generation associated data but does not include the second generation associated data When the associated data does not include the first generated associated data but includes the second generated associated data, the second historical gas generation corresponding to the goods to be managed is determined according to the second generated associated data, and the second historical gas generation is used as the historical gas consumption; the third gas generation determination unit 10233 is used to determine the first historical gas generation corresponding to the goods to be managed according to the first generated associated data when the historical gas generation associated data includes the first generated associated data and the second generated associated data, and to determine the second historical gas generation corresponding to the goods to be managed according to the second generated associated data, and add the first historical gas generation and the second historical gas generation to obtain the historical gas consumption.

[0063] Among them, the first generation-related data may be cargo-related data for determining the first historical gas generation amount. The second generation-related data may be cargo-related data for determining the second historical gas generation amount. The first historical gas generation amount may be any one of the evaporated gas generation amount and the evaporated gas forced evaporation amount. The second historical gas generation amount may be any one of the evaporated gas generation amount and the evaporated gas forced evaporation amount. It should be noted that the first historical gas generation amount and the second historical gas generation amount correspond to different gas generation amounts. More specifically, when the first historical gas generation amount is the evaporated gas generation amount, the second historical gas generation amount is the evaporated gas forced evaporation amount; or, when the first historical gas generation amount is the evaporated gas forced evaporation amount, the second historical gas generation amount is the evaporated gas generation amount.

[0064] In this embodiment, when the historical gas generation associated data includes the first generation associated data but does not include the second generation associated data, the first historical gas generation corresponding to the goods to be managed can be determined according to the first generation associated data by the first gas generation amount determination unit 10231, and the first historical gas generation can be used as the historical gas consumption.

[0065] Optionally, the first historical gas generation is the boil-off gas generation; the first generation-related data includes boil-off gas evaporation, cargo liquid level, initial cargo temperature and terminal cargo temperature; the first gas generation determination unit 10231 is specifically used to determine the cargo volume according to the cargo liquid level and the preset cargo capacity table, determine the cargo temperature rise according to the initial cargo temperature and the terminal cargo temperature, determine the cargo density, latent heat of vaporization and liquid specific heat according to the terminal cargo temperature, determine the cargo mass based on the cargo density and cargo volume, determine the cargo vaporization heat according to the cargo mass, cargo temperature rise and latent heat of vaporization, and determine the first historical gas generation corresponding to the cargo to be managed according to the cargo vaporization heat, boil-off gas evaporation and liquid specific heat.

[0066] Among them, the evaporation amount of boil-off gas may be the evaporation amount of BOG. ​​In the present embodiment, the evaporation amount of BOG may be approximately equal to the consumption of liquefied natural gas, and the consumption of liquefied natural gas may be directly obtained based on sensor detection. The cargo level may be the liquid level of the cargo to be managed in the cargo hold. The initial cargo temperature may be the cargo temperature corresponding to the initial moment within the second preset time length. The terminal cargo temperature may be the cargo temperature corresponding to the terminal moment within the second preset time length. It should be noted that the initial moment is earlier than the terminal moment. The preset tank capacity table may be a predetermined table characterizing the correspondence between the cargo level and the cargo volume in the hold. The temperature rise of the cargo is the difference between the initial cargo temperature and the terminal cargo temperature. The latent heat of vaporization refers to the amount of heat absorbed by a unit mass of a certain liquid substance during the vaporization process at a constant temperature and pressure. Liquid specific heat, also known as the specific heat capacity of a liquid, is the amount of heat absorbed or released by a unit mass of liquid when the unit temperature is increased or decreased.

[0067] As an optional implementation of the first embodiment of the present invention, the first generated associated data includes the evaporation amount of boil-off gas, the cargo liquid level, the initial cargo temperature and the end cargo temperature. Further, the cargo volume of the cargo to be managed can be determined based on the cargo liquid level and the preset tank capacity table based on the first gas generation amount determination unit 10231. Afterwards, the temperature difference between the initial cargo temperature and the end cargo temperature can be determined, and the temperature difference can be used as the cargo temperature rise. Afterwards, the cargo density corresponding to the cargo to be managed can be determined based on the end cargo temperature and the preset temperature density correspondence information, and the vaporization latent heat corresponding to the cargo to be managed can be determined based on the end cargo temperature and the preset temperature latent heat correspondence information, and the liquid specific heat corresponding to the cargo to be managed can be determined based on the end cargo temperature and the preset temperature specific heat correspondence information. Further, the cargo mass can be determined based on the cargo density and the cargo volume, and then the product between the cargo mass, the cargo temperature rise and the vaporization latent heat can be determined, and the product can be used as the cargo vaporization heat. Furthermore, the vaporization heat of the cargo and the evaporation amount of the evaporation gas may be added together, and the ratio between the heat obtained after the addition and the liquid specific heat may be determined, and the obtained ratio may be used as the first historical gas production corresponding to the cargo to be managed.

[0068] In this embodiment, when the historical gas generation associated data includes the second generation associated data but does not include the first generation associated data, the second historical gas generation corresponding to the goods to be managed can be determined according to the second generation associated data by the second gas generation amount determination unit 10232, and the second historical gas generation can be used as the historical gas consumption.

[0069] Optionally, the second historical gas production is the forced evaporation of boil-off gas. The second generation-related data includes boil-off gas compressor inlet and outlet pressure values, gas buffer tank inlet and outlet temperatures and inlet and outlet pressures; the second gas production determination unit 10232 is specifically used to determine the volume flow corresponding to the goods to be managed according to the boil-off gas compressor inlet and outlet pressure values ​​and the boil-off gas compressor characteristic curve obtained in advance, determine the cargo density corresponding to the goods to be managed according to the gas buffer tank inlet and outlet temperatures and inlet and outlet pressures, and determine the product between the volume flow and the cargo density, and use the product as the second historical gas production.

[0070] In this embodiment, when the historical gas generation associated data includes first generation associated data and second generation associated data, the first historical gas generation corresponding to the goods to be managed can be determined based on the first generation associated data based on the third gas generation amount determination unit 10233, and the second historical gas generation corresponding to the goods to be managed can be determined based on the second generation associated data, and the first historical gas generation and the second historical gas generation can be added to obtain the historical gas consumption.

[0071] In this embodiment, when the cargo consumption status corresponding to the cargo to be managed at the current moment is obtained, the cargo consumption status can be analyzed according to the cargo management subsystem 103. Further, when the cargo consumption status is determined to be unbalanced cargo consumption based on the cargo management subsystem 103, a preset consumption balance measure can be started to adjust the cargo consumption status to balanced cargo consumption.

[0072] In this embodiment, the cargo state analysis subsystem 102 can also detect the rollover state of the cargo to be managed, and accordingly, the cargo management associated data can include the cargo temperature and cargo hold pressure corresponding to each cargo layer of the cargo to be managed. The cargo state analysis subsystem 102 includes a rollover prevention module 1024. Based on the rollover prevention module 1024, the cargo temperature and cargo hold pressure of each cargo layer of the cargo to be managed can be analyzed to determine the rollover state of the cargo to be managed. Further, in the case where the rollover state is determined to be cargo rollover based on the cargo management subsystem 103, rollover prompt information can be generated so that the relevant objects can take rollover prevention measures according to the rollover prompt information. Optionally, the rollover prevention measures include taking spraying, turning on deep cold equipment, or preventing by filling the source, etc. Exemplarily, the current cargo density can be calculated by monitoring the temperature of LNG cargo and the components of the cargo list, and the filling method that is conducive to preventing rollover can be determined by comparing the filling LNG density with the cargo hold retained LNG density.

[0073] In this embodiment, in order to observe the cargo management situation more clearly and intuitively, the ship cargo management system 10 also includes a cargo status display subsystem 104; wherein the cargo status display subsystem 104 is used to display the acquired cargo management related data, weather forecast information, and the determined current cargo status and predicted cargo status.

[0074] The cargo status display subsystem 104 may be a system for displaying cargo management related information. Optionally, the cargo status display subsystem 104 may be a visual display interface.

[0075] As an optional implementation mode of the first embodiment of the present invention, when the cargo management related data corresponding to the cargo to be managed and the weather forecast information on the route of the ship are acquired based on the data acquisition subsystem 101, the acquired cargo management related data and weather forecast information can be sent to the cargo status display subsystem 104, so as to display the cargo management related data and weather forecast information based on the cargo status display subsystem 104. Further, when the current cargo status and predicted cargo status corresponding to the cargo to be managed at the current moment are determined based on the cargo status analysis subsystem 102, the determined current cargo status and predicted cargo status can be sent to the cargo status display subsystem 104, so as to display the current cargo status and predicted cargo status corresponding to the cargo to be managed at the current moment based on the cargo status display subsystem 104.

[0076] For example, Figure 2 FIG. 1 is a schematic diagram of the structure of the liquefied natural gas cargo management system provided by an embodiment of the present invention. Figure 2As shown, the liquefied natural gas cargo management system includes a data detection subsystem, a consumption analysis subsystem, a physical property prediction subsystem and a rollover prevention subsystem. Among them, the data detection subsystem may include a cargo hold detection module, a gas supply system detection module, a cargo system detection module and an insulation detection module. The consumption analysis subsystem may include a gas generation and consumption balance module and a cargo consumption analysis module. The physical property prediction subsystem may include a liquefied natural gas physical property prediction module and a liquefied natural gas sloshing prediction module. The rollover prevention subsystem may include a rollover prevention module.

[0077] The embodiment of the present invention provides a ship cargo management system, including: a data acquisition subsystem, a cargo status analysis subsystem and a cargo management subsystem, wherein the data acquisition subsystem is used to acquire cargo management related data corresponding to the cargo to be managed loaded on the ship at the current moment and weather forecast information on the route of the ship; the cargo status analysis subsystem is used to determine the current cargo status and predicted cargo status corresponding to the cargo to be managed at the current moment according to the cargo management related data and the weather forecast information; the cargo management subsystem is used to determine the cargo management measures corresponding to the cargo to be managed at the current moment according to the current cargo status and / or the predicted cargo status, so as to treat the cargo to be managed based on the cargo management measures. The management solves the problem that the relevant technologies cannot effectively manage the LNG cargo loaded on the ship and cannot timely understand the status of the LNG cargo in the ship, which leads to excessively high LNG loss rate during the navigation of the ship and affects the safe transportation of LNG. The effective management of the liquefied natural gas cargo loaded on the ship during the ship transportation is achieved, and then the cargo status of the loaded liquefied natural gas cargo is understood in real time during the ship transportation so as to implement cargo management measures in time. On the basis of meeting the requirements of cargo transportation and delivery, the ineffective loss of cargo in the transportation process is effectively controlled and reduced, thereby improving the safety and economic benefits of cargo transportation.

[0078] Embodiment 2

[0079] Figure 3 It is a flow chart of a ship cargo management method provided in the second embodiment of the present invention. The method can be applied to the ship cargo management system provided in the above embodiment.

[0080] like Figure 3 As shown, the method includes:

[0081] S210, obtaining cargo management related data corresponding to the cargo to be managed loaded on the ship at the current moment and weather forecast information on the route where the ship is located through the data acquisition subsystem.

[0082] Among them, the ship uses the cargo to be managed as fuel; the cargo to be managed includes liquefied natural gas; the cargo management related data is the actual collected data required to manage the cargo to be managed; and the weather forecast information includes the marine weather forecast of the ocean where the ship is located.

[0083] S220. Determine the current cargo status and predicted cargo status corresponding to the cargo to be managed at the current moment according to the cargo management related data and the weather forecast information through the cargo status analysis subsystem.

[0084] Among them, the current cargo status includes the cargo consumption status; the predicted cargo status includes the cargo final physical property status and the cargo swaying status.

[0085] S230. Determine, by the cargo management subsystem, cargo management measures corresponding to the cargo to be managed at the current moment according to the current cargo status and / or predicted cargo status, so as to manage the cargo to be managed based on the cargo management measures.

[0086] The technical solution of the embodiment of the present invention obtains cargo management related data corresponding to the cargo to be managed loaded on the ship at the current moment and the weather forecast information on the route of the ship through the data acquisition subsystem; further, the cargo state analysis subsystem determines the current cargo state and predicted cargo state corresponding to the cargo to be managed at the current moment according to the cargo management related data and the weather forecast information; further, the cargo management subsystem determines the cargo management measures corresponding to the cargo to be managed at the current moment according to the current cargo state and / or the predicted cargo state, so as to manage the cargo to be managed based on the cargo management measures, thereby solving the problem that the LNG cargo loaded on the ship cannot be effectively managed in the related technology, and the state of the LNG cargo in the ship cannot be timely understood, which leads to the excessively high LNG loss rate and affects the safe transportation of LNG during the navigation of the ship, and realizes the effect of effectively managing the liquefied natural gas cargo loaded on the ship during the transportation of the ship, and further, achieves the effect of real-time understanding of the cargo state of the loaded liquefied natural gas cargo during the transportation of the ship, so as to timely implement the cargo management measures, and realizes the effect of effectively controlling and reducing the invalid loss of the cargo during the transportation on the basis of meeting the requirements of cargo transportation and delivery, thereby improving the safety and economic benefits of cargo transportation.

[0087] Optionally, the cargo management associated data includes an initial cargo physical property state; the cargo state analysis subsystem includes: a physical property prediction module; the physical property prediction module predicts a plurality of final cargo physical property states corresponding to the cargo to be managed based on the initial cargo physical property state and the weather forecast information; the cargo management subsystem determines, based on the plurality of final cargo physical property states, status adjustment measures for the cargo to be managed, so as to adjust the cargo to be managed based on the status adjustment measures.

[0088] Optionally, the initial cargo physical property state, the weather forecast information and a plurality of predetermined cargo navigation states are input into a pre-trained final state prediction model through the physical property prediction module to obtain a terminal cargo physical property state corresponding to the cargo to be managed under the plurality of cargo navigation final states.

[0089] Optionally, the cargo management subsystem includes: a cargo navigation status determination module and a cargo status adjustment module; wherein, the cargo navigation status determination module determines the target cargo predicted final state that meets the preset cargo final state standard from the multiple terminal cargo physical property states, and uses the cargo navigation state corresponding to the target cargo predicted final state as the target cargo navigation state; the cargo status adjustment module is used to determine the status adjustment measures corresponding to the cargo to be managed according to the target cargo navigation state, and adjust the cargo to be managed based on the status adjustment measures, so that the adjusted navigation state of the cargo to be managed reaches the target cargo navigation state.

[0090] Optionally, the cargo management associated data includes cargo loading information; the cargo status analysis subsystem includes: a sloshing prediction module; wherein the sloshing prediction module determines the cargo vibration frequency corresponding to the cargo to be managed according to the cargo loading information, determines the wave vibration frequency of the ocean where the ship is located according to the marine meteorological forecast, and predicts the cargo sloshing status of the cargo to be managed within a first preset time period after the current moment based on preset sloshing resonance information, the cargo vibration frequency and the wave vibration frequency.

[0091] Optionally, the cargo management subsystem includes: a cargo sloshing response module; wherein, when the cargo sloshing status is that the sloshing information exceeds a preset sloshing standard, the cargo sloshing response module initiates a preset sloshing response measure.

[0092] Optionally, the cargo management related data include historical gas consumption and historical gas generation related data of the cargo to be managed within a second preset time period before the current moment; the cargo status analysis subsystem includes a consumption analysis module; wherein, the consumption analysis module determines the historical gas generation of the cargo to be managed within the second preset time period before the current moment according to the historical gas generation related data, and determines the cargo consumption status corresponding to the cargo to be managed according to the historical gas consumption and the historical gas generation; wherein, the cargo consumption status includes balanced cargo consumption or unbalanced cargo consumption.

[0093] Optionally, the historical gas generation-related data includes first generation-related data and / or second generation-related data; the consumption status analysis module includes a first gas generation amount determination unit, a second gas generation amount determination unit and / or a third gas generation amount determination unit; wherein, when the historical gas generation-related data includes the first generation-related data and does not include the second generation-related data, the first gas generation amount determination unit determines the first historical gas generation amount corresponding to the goods to be managed according to the first generation-related data, and uses the first historical gas generation amount as the historical gas consumption;

[0094] determining, by the second gas generation amount determination unit, a second historical gas generation amount corresponding to the goods to be managed according to the second generation associated data when the historical gas generation associated data does not include the first generation associated data but includes the second generation associated data, and using the second historical gas generation amount as the historical gas consumption amount;

[0095] When the historical gas generation-related data includes first generation-related data and second generation-related data, the third gas generation amount determination unit determines the first historical gas generation amount corresponding to the goods to be managed according to the first generation-related data, and determines the second historical gas generation amount corresponding to the goods to be managed according to the second generation-related data, and adds the first historical gas generation amount to the second historical gas generation amount to obtain the historical gas consumption.

[0096] Optionally, the first generated associated data includes the evaporation amount of boil-off gas, the cargo liquid level, the initial cargo temperature and the ending cargo temperature; the cargo volume is determined according to the cargo liquid level and the preset tank capacity table by the first gas generation amount determination unit, the cargo temperature rise is determined according to the initial cargo temperature and the ending cargo temperature, the cargo density, latent heat of vaporization and liquid specific heat are determined according to the ending cargo temperature, the cargo mass is determined based on the cargo density and the cargo volume, the cargo vaporization heat is determined according to the cargo mass, the cargo temperature rise and the latent heat of vaporization, and the first historical gas generation corresponding to the cargo to be managed is determined according to the cargo vaporization heat, the evaporation amount of boil-off gas and the liquid specific heat.

[0097] Optionally, the ship cargo management system further includes: a cargo status display subsystem; wherein the cargo status display subsystem displays the acquired cargo management related data, the weather forecast information, and the determined current cargo status and the predicted cargo status.

[0098] Embodiment 3

[0099] Figure 4A schematic diagram of the structure of an electronic device 310 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, 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 examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0100] like Figure 4 As shown, the electronic device 310 includes at least one processor 311, and a memory connected to the at least one processor 311 in communication, such as a read-only memory (ROM) 312, a random access memory (RAM) 313, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 311 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 312 or the computer program loaded from the storage unit 318 to the random access memory (RAM) 313. In the RAM 313, various programs and data required for the operation of the electronic device 310 can also be stored. The processor 311, the ROM 312, and the RAM 313 are connected to each other via a bus 314. An input / output (I / O) interface 315 is also connected to the bus 314.

[0101] A number of components in the electronic device 310 are connected to the I / O interface 315, including: an input unit 316, such as a keyboard, a mouse, etc.; an output unit 317, such as various types of displays, speakers, etc.; a storage unit 318, such as a disk, an optical disk, etc.; and a communication unit 319, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 319 allows the electronic device 310 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0102] The processor 311 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 311 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, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The processor 311 executes the various methods and processes described above, such as a ship cargo management method.

[0103] In some embodiments, the ship cargo management method may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 318. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 310 via the ROM 312 and / or the communication unit 319. When the computer program is loaded into the RAM 313 and executed by the processor 311, one or more steps of the ship cargo management method described above may be performed. Alternatively, in other embodiments, the processor 311 may be configured to perform the ship cargo management method in any other suitable manner (e.g., by means of firmware).

[0104] Various implementations of the systems and techniques described above herein 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 chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations 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 special purpose 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 data and instructions to the storage system, the at least one input device, and the at least one output device.

[0105] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0106] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0107] To provide interaction with a user, the systems and techniques described herein may 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 trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0108] The systems and techniques described herein may 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 with a graphical user interface or a web browser through which a user can interact with implementations 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 may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0109] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0110] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0111] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A ship cargo management system, characterized in that: include: Data acquisition subsystem, cargo status analysis subsystem and cargo management subsystem, among which, The data acquisition subsystem is used to acquire cargo management related data corresponding to the cargo to be managed loaded on the ship at the current moment and weather forecast information on the route where the ship is located; wherein the ship uses the cargo to be managed as fuel; the cargo to be managed includes liquefied natural gas; the cargo management related data is the actual collected data required to manage the cargo to be managed; the weather forecast information includes the marine weather forecast of the ocean where the ship is located; The cargo status analysis subsystem is used to determine the current cargo status and predicted cargo status corresponding to the cargo to be managed at the current moment according to the cargo management related data and the weather forecast information; wherein the current cargo status includes the cargo consumption status; the predicted cargo status includes the cargo termination physical property status and the cargo sloshing status; The cargo management subsystem is used to determine the cargo management measures corresponding to the cargo to be managed at the current moment according to the current cargo status and / or the predicted cargo status, so as to manage the cargo to be managed based on the cargo management measures.

2. The ship cargo management system according to claim 1, characterized in that: The cargo management related data includes the initial cargo physical property status; the cargo status analysis subsystem includes: a physical property prediction module; wherein, The physical property prediction module is used to predict a plurality of final cargo physical property states corresponding to the cargo to be managed according to the initial cargo physical property state and the weather forecast information; The cargo management subsystem is used to determine the status adjustment measures of the cargo to be managed according to the physical property states of the multiple terminated cargoes, so as to adjust the cargo to be managed based on the status adjustment measures.

3. The ship cargo management system according to claim 2, characterized in that: The physical property prediction module is specifically used to input the initial cargo physical property state, the weather forecast information and a plurality of predetermined cargo navigation states into a pre-trained final state prediction model to obtain a final cargo physical property state corresponding to the cargo to be managed under the plurality of cargo navigation final states.

4. The ship cargo management system according to claim 3, characterized in that: The cargo management subsystem includes: a cargo navigation status determination module and a cargo status adjustment module; The cargo navigation state determination module is used to determine a target cargo predicted final state that meets a preset cargo final state standard from the multiple final cargo physical property states, and use the cargo navigation state corresponding to the target cargo predicted final state as the target cargo navigation state; The cargo state adjustment module is used to determine the state adjustment measures corresponding to the cargo to be managed according to the navigation state of the target cargo, and adjust the cargo to be managed based on the state adjustment measures so that the adjusted navigation state of the cargo to be managed reaches the navigation state of the target cargo.

5. The ship cargo management system according to claim 1, characterized in that: The cargo management related data includes cargo loading information; the cargo status analysis subsystem includes: a sloshing prediction module; wherein, The sloshing prediction module is used to determine the cargo vibration frequency corresponding to the cargo to be managed according to the cargo loading information, determine the wave vibration frequency of the ocean where the ship is located according to the marine meteorological forecast, and predict the cargo sloshing state corresponding to the cargo to be managed within a first preset time period after the current moment according to preset sloshing resonance information, the cargo vibration frequency and the wave vibration frequency.

6. The ship cargo management system according to claim 5, characterized in that: The cargo management subsystem includes: a cargo sloshing response module; wherein, The cargo sloshing response module is used to initiate preset sloshing response measures when the cargo sloshing status is that the sloshing information exceeds a preset sloshing standard.

7. The ship cargo management system according to claim 1, characterized in that: The cargo management related data includes the historical gas consumption and historical gas generation related data of the cargo to be managed within a second preset time period before the current moment; the cargo status analysis subsystem includes a consumption analysis module; wherein, The consumption analysis module is used to determine the historical gas generation of the goods to be managed within the second preset time period before the current moment according to the historical gas generation related data, and determine the goods consumption status corresponding to the goods to be managed according to the historical gas consumption and the historical gas generation; wherein the goods consumption status includes balanced goods consumption or unbalanced goods consumption.

8. The ship cargo management system according to claim 7, characterized in that: The historical gas generation-related data includes first generation-related data and / or second generation-related data; the consumption status analysis module includes a first gas generation amount determination unit, a second gas generation amount determination unit and / or a third gas generation amount determination unit; wherein, The first gas generation amount determination unit is used to determine the first historical gas generation amount corresponding to the goods to be managed according to the first generation association data when the historical gas generation associated data includes the first generation associated data and does not include the second generation associated data, and use the first historical gas generation amount as the historical gas consumption; The second gas generation amount determination unit is used to determine the second historical gas generation amount corresponding to the goods to be managed according to the second generation association data when the historical gas generation association data does not include the first generation association data but includes the second generation association data, and use the second historical gas generation amount as the historical gas consumption amount; The third gas generation amount determination unit is used to determine the first historical gas generation amount corresponding to the goods to be managed according to the first generation association data when the historical gas generation associated data includes the first generation associated data and the second generation associated data, and to determine the second historical gas generation amount corresponding to the goods to be managed according to the second generation associated data, and add the first historical gas generation amount and the second historical gas generation amount to obtain the historical gas consumption.

9. The ship cargo management system according to claim 8, characterized in that: The first generation-related data includes the evaporation amount of boil-off gas, the cargo liquid level, the initial cargo temperature and the ending cargo temperature; the first gas generation amount determination unit is specifically used to determine the cargo volume according to the cargo liquid level and the preset tank capacity table, determine the cargo temperature rise according to the initial cargo temperature and the ending cargo temperature, determine the cargo density, latent heat of vaporization and liquid specific heat according to the ending cargo temperature, determine the cargo mass based on the cargo density and the cargo volume, determine the cargo vaporization heat according to the cargo mass, the cargo temperature rise and the latent heat of vaporization, and determine the first historical gas generation amount corresponding to the cargo to be managed according to the cargo vaporization heat, the evaporation amount of boil-off gas and the liquid specific heat.

10. The ship cargo management system according to claim 1, characterized in that: Also includes: Cargo status display subsystem; among which, The cargo status display subsystem is used to display the acquired cargo management related data, the weather forecast information, and the determined current cargo status and the predicted cargo status.

11. A method for managing ship cargo, characterized in that: include: The cargo management associated data corresponding to the cargo to be managed loaded on the ship at the current moment and the weather forecast information on the route where the ship is located are obtained through the data acquisition subsystem; wherein the ship uses the cargo to be managed as fuel; the cargo to be managed includes liquefied natural gas; the cargo management associated data is the actual collected data required to manage the cargo to be managed; the weather forecast information includes the marine weather forecast of the ocean where the ship is located; The cargo state analysis subsystem determines the current cargo state and predicted cargo state corresponding to the cargo to be managed at the current moment according to the cargo management related data and the weather forecast information; wherein the current cargo state includes the cargo consumption state; and the predicted cargo state includes the cargo termination physical property state and the cargo sloshing state; The cargo management subsystem determines cargo management measures corresponding to the cargo to be managed at the current moment according to the current cargo status and / or the predicted cargo status, so as to manage the cargo to be managed based on the cargo management measures.

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