CN116402207A - Ship transportation network carbon emission optimization energy-saving method and device and electronic equipment - Google Patents
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Abstract
The invention provides a ship transportation network carbon emission optimization energy-saving method, a device and electronic equipment, wherein the method comprises the following steps: performing spatial position matching on ship tracks and port geographic positions in a ship transportation network to obtain a data set of a departure port and a destination port; determining the sailing time and waiting time of the ship among ports based on the data set; constructing a transport network optimization model for reducing inter-port navigation time and waiting time based on a ship transport network, ship transport requirements and inter-port navigation time and waiting time of a ship; and determining target sailing time and target waiting time of the ship sailing among ports based on the transportation network optimization model, and determining a ship transportation scheme based on the target sailing time and the target waiting time. The invention can be used to reduce carbon emissions from lng transport networks.
Description
Technical Field
The invention relates to the technical field of waterway traffic, in particular to a ship transportation network carbon emission optimization energy-saving method, a device and electronic equipment.
Background
At present, the ship transportation networks such as crude oil, liquefied Natural Gas (LNG), liquefied petroleum gas and the like do not have the departure time and arrival time of a custom ship, so that the situation that the ship needs to float after arriving at a port or can enter the port after waiting for a long time at an anchor outside the port often occurs, the efficiency is low, and meanwhile, additional fuel consumption is caused, so that the emission pollution is increased. It is therefore desirable to provide a method that reduces unnecessary voyage and waiting time of a ship, and thus reduces carbon emissions from lng carrier networks.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a method, an apparatus and an electronic device for optimizing and saving carbon emissions of a ship transportation network, so as to reduce carbon emissions of a transportation network such as liquefied natural gas.
In order to achieve the above object, the present invention provides a method for optimizing carbon emission and saving energy in a ship transportation network, comprising:
performing spatial position matching on ship tracks and port geographic positions in a ship transportation network to obtain a data set of a departure port and a destination port;
determining the navigation time and waiting time of the ship between ports based on the data set;
constructing a transport network optimization model for reducing the inter-port navigation time and the waiting time based on a ship transport network, the ship transport requirement and the inter-port navigation time and the waiting time of the ship;
and determining target sailing time and target waiting time of the ship among ports based on the transportation network optimization model, and determining a ship transportation scheme based on the target sailing time and the target waiting time so as to reduce carbon emission of the ship transportation network.
Further, the carbon emission optimizing energy-saving method for the ship transportation network further comprises the following steps:
before the transportation network optimization model is constructed, the transportation demands of the ships are determined based on all ships sailing on different port voyages and the corresponding loads of all ships.
Further, the carbon emission optimizing energy-saving method for the ship transportation network further comprises the following steps:
and before the transportation network optimization model is constructed, constructing a ship transportation network by taking ports as nodes and taking connection between ports as edges.
Further, in the case of no transit port, the transport network optimization model is:
wherein c ijk Representing the time spent by a type k vessel between ports i and j, c ijk Including the voyage time and waiting time of the k-type ship between ports i and j; s is S ij Representing the transportation demand between ports i and j;
is the tonnage of the k type ship alpha; />
Indicating whether the k-type ship alpha sails between ports i and j, and if the value is 1, indicating that the k-type ship alpha sails between ports i and jSailing between j, if the value is 0, indicating that the k-type ship alpha does not sail between ports i and j;
Further, in the case of a transshipment port, the transport network optimization model is:
wherein c ijk Representing the consumption time of a k-type ship between ports i and j; c imk Representing the consumption time of a k-type ship between ports i and m; c mjk Representing the consumption time of a k-type ship between ports m and j;
representing the average voyage time of a k-type ship between ports i and m>
Representing the average waiting time of a k-type ship between ports i and m;
S ij representing the transportation demand between ports i and j; s is S im Representing the transportation demand between ports i and m; s is S mj Representing the transportation demand between ports m and j; s is S m Representing the transportation demand of port m;
Further, the carbon emission optimizing energy-saving method for the ship transportation network further comprises the following steps:
and determining a sailing plan of the ship among different ports based on the target sailing time and the target waiting time, determining corresponding energy saving based on the sailing plan, and evaluating an emission reduction energy consumption ratio corresponding to an emission reduction scheme based on the sailing plan.
The invention also provides a ship transportation network carbon emission optimizing energy-saving device, which comprises:
the matching module is used for performing spatial position matching on the ship track and the port geographic position in the ship transportation network to obtain a data set of a departure port and a destination port;
a first determining module for determining the voyage time and waiting time of the ship between ports based on the data set;
the construction module is used for constructing a transport network optimization model for reducing the navigation time and the waiting time between ports based on the ship transport network, the ship transport requirement and the navigation time and the waiting time of the ship between ports;
and the second determining module is used for determining the target sailing time and the target waiting time of the ship among ports based on the transportation network optimization model, and determining a ship transportation scheme based on the target sailing time and the target waiting time so as to reduce the carbon emission of the ship transportation network.
Further, the ship transportation network carbon emission optimizing energy-saving device further comprises:
and the third determining module is used for determining the transportation requirement of the ship based on all ships sailing in different port voyages and the corresponding loads of all ships before the transportation network optimization model is constructed.
The invention also provides an electronic device comprising a memory and a processor, wherein,
the memory is used for storing programs;
the processor is coupled to the memory for executing the program stored in the memory to implement the steps in the carbon emission optimization energy saving method for a marine transportation network as described in any one of the above.
The invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which when executed by a processor implements a method of optimizing energy saving for carbon emissions of a marine transportation network as described in any of the above.
The beneficial effects of the implementation mode are that: according to the ship transportation network carbon emission optimization energy-saving method, device and electronic equipment, a large number of ship tracks and port geographic positions are matched in space positions, so that a data set of a departure port and a destination port is obtained, a large number of ship tracks, port geographic positions and other information are fully utilized, and the defect of a single data source is overcome; determining the inter-port sailing time of the ship and the inter-port waiting time of the ship based on the data set; combining with advanced theories and methods such as waterway transportation modes, complex networks, space optimization and the like, and constructing a transportation network optimization model for reducing the inter-port navigation time and the waiting time based on the ship transportation network, the ship transportation demand, the inter-port navigation time and the inter-port waiting time; and determining target sailing time and target waiting time of the ship sailing among ports based on the transportation network optimization model, and determining a sailing plan based on the target sailing time and the target waiting time, so as to further determine the ship emission reduction scheme. The network optimization model fully considers the point-to-point transportation modes of crude oil, liquefied natural gas, liquefied petroleum gas and the like, and also considers the situation of few transit ports. The navigation characteristics of the ship and the transportation network are fully considered, so that the departure time and the arrival time are customized for the ship by combining the target navigation time and the target waiting time on the premise of optimizing the limit of the transportation network, the extra carbon emission caused by high-speed navigation and unnecessary waiting is reduced, the purposes of energy conservation and emission reduction are realized, and the high-efficiency low-carbon green shipping is ensured.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an embodiment of a method for optimizing energy conservation of carbon emissions in a marine transportation network according to the present invention;
FIG. 2 is a schematic diagram of a ship track, a ship departure port destination (OD) and a ship transportation network provided by the invention;
FIG. 3 is a schematic structural view of an embodiment of a carbon emission optimizing energy-saving device for a ship transportation network according to the present invention;
fig. 4 is a schematic structural diagram of an embodiment of an electronic device according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the embodiments of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.
The terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, apparatus, article, or device that comprises a list of steps or modules is not necessarily limited to those steps or modules that are expressly listed or inherent to such process, method, article, or device.
The naming or numbering of the steps in the embodiments of the present invention does not mean that the steps in the method flow must be executed according to the time/logic sequence indicated by the naming or numbering, and the named or numbered flow steps may change the execution order according to the technical purpose to be achieved, so long as the same or similar technical effects can be achieved.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The invention provides a ship transportation network carbon emission optimization energy-saving method, a device and electronic equipment, which are respectively described below.
As shown in fig. 1, the carbon emission optimizing and energy saving method for the ship transportation network provided by the invention comprises the following steps:
and 110, performing spatial position matching on the ship track and the port geographic position in the ship transportation network to obtain a data set of the departure port and the destination port.
It can be understood that, firstly, space position matching is performed according to the ship track and the geographical position of the port, so as to obtain the data set (OD dataset, OD sequence) of the departure port and the destination port, namely, a port connection sequence, for example, the berth stay conditions of the departure port and the destination port in the ports such as a, B, C and the like are judged according to the coordinates of the ship, and if the berthed ports are a, B, C and D in turn, the OD sequence is a- > B, B- > C and C- > D, as shown in fig. 2. Fig. 2 is a process showing vessel trajectory to vessel OD extraction to vessel transport network construction. Table 1 shows the inter-port voyage and inter-port waiting time characteristics of LNG vessels of different tonnage. Table 2 shows the engine power of the vessels at different tonnage levels. Table 3 shows the carbon emission savings from reduced voyage time for the global part of the route. Table 4 shows the carbon emission savings from reduced latency for the global part of the route. These results demonstrate the feasibility of the model in optimizing energy savings for carbon emissions in marine transportation networks.
TABLE 1 average inter-port voyage time and average inter-port waiting time characteristics of LNG ships of different tonnages
TABLE 2 Ship engine power at different tonnage levels
TABLE 3 carbon emission ratio saved by different airlines due to reduced voyage time
TABLE 4 carbon emission ratio saved by reduced latency for different airlines
It will be appreciated that the average sailing and waiting time calculation for a type k vessel between ports i and j is shown in equations (1) and (2). Average voyage and waiting time calculation results of different types of vessels are very important for optimizing the vessel transportation network.
Wherein, the liquid crystal display device comprises a liquid crystal display device,
and->
Represents the average voyage time and the average waiting time of the k-type ship between ports i and j, respectively,/>
And->
The voyage time and the waiting time of the k-type ship alpha between ports i and j are respectively shown. />
Indicating whether the k-type ship alpha sails between ports i and j, if the value is 1, indicating that the k-type ship alpha sails between ports i and j, and if the value is 0, indicating that the k-type ship alpha does not sail between ports i and j.
It should be noted that the waiting time of the ship between ports includes all waiting time between the departure port and the destination port, that is, includes waiting time in ports and waiting time of anchors outside ports.
And 130, constructing a transport network optimization model for reducing the navigation time and waiting time between ports based on the ship transport network, the ship transport requirements and the navigation time and waiting time of the ship between ports.
It can be understood that optimizing the transportation network of the ships such as crude oil, liquefied natural gas, liquefied petroleum gas and the like is a special nonlinear programming problem, and the purpose of the optimization is to arrange which type of ships navigate among different ports to meet the transportation demands of the crude oil, the liquefied natural gas, the liquefied petroleum gas and the like, so that the purpose of saving transportation time is achieved, and energy conservation and emission reduction can be realized.
The different types of ships refer to the difference of the ship in tonnage level and ship size in a certain type of ships in crude oil transportation, liquefied natural gas transportation, liquefied petroleum gas transportation and the like.
Based on the calculation results of the ship navigation time and the ship waiting time between ports, a transportation network optimization model is provided from a transportation network structure.
And 140, determining target sailing time and target waiting time of the ship among ports based on the transportation network optimization model, and determining a ship transportation scheme based on the target sailing time and the target waiting time so as to reduce carbon emission of the ship transportation network.
It can be appreciated that by optimizing the shipping network, the most economical shipping vessel is arranged on each route in the optimized network (i.e., the shipping network optimization model), and the vessel's holding time is converted to low speed voyage, which can save fuel costs and thereby achieve reduced carbon emissions. The ship's transport network is optimized for efficiency by minimizing time costs and ensuring that transport requirements are met. Under the condition of ensuring the sailing requirement and the sailing efficiency, the departure time and the arrival time of the ship are further customized, and the waiting time between arrival ports is converted into lower running speed in the sailing between the departure ports and the arrival ports, so that the fuel consumption is reduced, and the emission is reduced. Thus, the reduced fuel consumption consists of two parts, the first part being optimizing the saved voyage time and waiting time from the ship's transportation network, and the second part being customizing the departure time and arrival time of the ship to the optimized network, thereby converting the waiting time between ports to low speed voyage and thus saving emissions.
In some embodiments, the marine transportation network carbon emission optimization energy saving method further comprises:
before the transportation network optimization model is constructed, the transportation demands of the ships are determined based on all ships sailing on different port voyages and the corresponding loads of all ships.
It can be understood that according to all ships and corresponding loads which are sailed for many years in different port sails, the total transport load capacity of each year is calculated, the change trend of the transport load capacity is analyzed, the time window with the closest mean value is determined based on the sliding window, the transport requirement is calculated in an average value mode, and the specific formulas are shown as (5) and (6):
wherein S is ij Representing the transportation demand between ports i and j, S mj Representing the transportation demand between ports m and j, S im Representing the transport demand between ports i and m, S m Representing throughput demand at port m, subtracting re-egress from ingress volumeAnd the part of the material is formed.
Representing the load of a type k vessel alpha. T represents the total span of the time windows involved in the calculation. />
And if the value is 0, the t-time k type ship alpha does not navigate between the ports i and j. />
And (3) indicating whether the k-type ship alpha sails between the ports m and j or not at t time, if the value is 1, indicating that the k-type ship alpha sails between the ports m and j, and if the value is 0, indicating that the k-type ship alpha does not sail between the ports m and j. />
And (3) indicating whether the k-type ship alpha sails between the ports i and m or not at t time, if the value is 1, indicating that the k-type ship alpha sails between the ports i and m, and if the value is 0, indicating that the k-type ship alpha does not sail between the ports i and m.
In some embodiments, the marine transportation network carbon emission optimization energy saving method further comprises:
and before the transportation network optimization model is constructed, constructing a ship transportation network by taking ports as nodes and taking connection between ports as edges.
It will be appreciated that the ship transport network is constructed with ports as nodes and connections between ports as edges (the sailing of ships between ports is considered to be edge-connected). And C# secondary development or corresponding complex network analysis software is adopted for visualization, so that a marine network taking a port as a node and taking port connection as a side, namely a ship transportation network, can be obtained.
In some embodiments, in the absence of a transshipment port, the transport network optimization model is:
wherein c ijk Representing the time spent by a type k vessel between ports i and j, c ijk Including the voyage time and waiting time between ports i and j; s is S ij Representing the transportation demand between ports i and j;
is the tonnage of the k type ship alpha; />
Indicating whether the k-type ship alpha sails between ports i and j, if the value is 1, indicating that the k-type ship alpha sails between ports i and j, and if the value is 0, indicating that the k-type ship alpha does not sail between ports i and j;
It will be appreciated that equation (9) ensures that the transportation requirements of ports i to j are met. Equation (10) indicates that the number of vessels capable of providing transportation is determined.
In some embodiments, in the case of a transshipment port, the transport network optimization model is:
wherein c ijk Representing the consumption time of a k-type ship between ports i and j; c imk Representing the consumption time of a k-type ship between ports i and m; c mjk Representing the consumption time of a k-type ship between ports m and j;
S ij representing the transportation demand between ports i and j; s is S im Representing the transport requirements between i and m; s is S mj Representing the transportation requirement between m and j; s is S m Representing the transportation demand of port m;
It will be appreciated that equations (16) through (18) ensure that the transportation requirements between ports i and j, ports i and m, and ports m and j are satisfied. Equation (19) indicates that the amount of transfer in port m can satisfy the demand. Equation (20) indicates that the number of vessels capable of providing transportation is determined.
Based on the model, the Lagrange relaxation algorithm, the A-scale dynamic programming algorithm, the Dikka algorithm and the like are adopted for solving, so that the optimal boat-phase arrangement of the transportation demands of crude oil, liquefied natural gas, liquefied petroleum gas and the like for sailing among different ports is obtained.
In some embodiments, the marine transportation network carbon emission optimization energy saving method further comprises:
and determining a sailing plan of the ship among different ports based on the target sailing time and the target waiting time, determining corresponding energy saving based on the sailing plan, and evaluating an emission reduction energy consumption ratio corresponding to an emission reduction scheme based on the sailing plan.
It can be appreciated that by optimizing the ship's transportation network and converting the waiting time of the ship in the optimized network to a low speed voyage, fuel costs can be saved to achieve reduced carbon emissions. The ship's transport network is optimized for efficiency by minimizing time costs and ensuring that transport requirements are met. Under the condition of ensuring the sailing requirement and the sailing efficiency, the departure time and the arrival time of the ship are further customized, and the waiting time between arrival ports is converted into lower running speed in the sailing between the departure ports and the arrival ports, so that the fuel consumption is reduced, and the emission is reduced. Thus, the reduced fuel consumption consists of two parts, the first part being optimizing the saved voyage time and waiting time from the ship's transportation network, and the second part being customizing the departure time and arrival time of the ship to the optimized network, thereby converting the waiting time between ports to low speed voyage and thus saving emissions.
According to the fourth greenhouse gas (GHG) study report issued by IMO, the quadratic relation between daily fuel consumption and vessel speed (i.e. quadratic relation with voyage time) is proportional to vessel engine power during vessel voyage for a given voyage (determined at the originating port and at the destination port). While the vessel is moored, fuel consumption is linear with speed (i.e., linear with time). LNG transport network optimization (including fuel consumption savings from reduced voyage time and reduced waiting time) and fuel consumption percentage savings from implementing virtual arrival policies can be calculated by the following formula.
Wherein EP k Is the engine power of a k-type ship, U' k Is a ship set which is optimized by a shipping network and navigates in a given range, U k Is a collection of vessels sailing in a given voyage before optimization of the voyage network.
Is the sailing time of k type ship between ports m and j after optimizing the sailing network, +.>
Is the sailing time of k type ship between ports m and j before optimizing the sailing network, +.>
Is the sailing time of k type ship between port i and port m after optimizing the sailing network,/>
Is the sailing time of k type ship between port i and m before optimizing the sailing network, +.>
Is the navigation time of k type ship between ports i and j after optimizing the navigation network，/>
Is the sailing time of k type ship between ports i and j before optimizing the sailing network, +.>
Is the waiting time of k type ship between ports i and j after optimizing shipping network, +.>
Is the waiting time of k type ship between ports i and j before optimizing shipping network, +.>
Is the waiting time of k type ship between port i and m after optimizing shipping network, +.>
Is the waiting time of k type ship between port i and m before optimizing shipping network, +.>
Is the waiting time of k type ship between ports m and j after optimizing shipping network, +.>
The shipping network optimizes the hold time of the k-type vessel between ports m and j before shipping.
And->
Representing carbon emissions saved by reduced sailing time and waiting time between ports m and j, between ports i and m, respectively, due to network optimization between ports i and j,/, respectively>
And->
Representing the reduced emissions between ports i and j, between ports i and m, respectively, with precise departure and arrival of the ship from the deployment between ports m and j.
It should be noted that the virtual arrival strategy means that the waiting time of a given voyage in the optimized network can be converted into low-speed navigation of the ship, so as to save carbon emission.
In some embodiments, the methods provided by the present invention comprise:
and (3) combing ship navigation data, ship information, port information, trade business information and the like, and performing superposition analysis on the ship navigation data and the port information by a custom algorithm to realize the calculation of the ship arrival and departure, thereby realizing the extraction of the port OD sequence of the ship.
And further calculating the navigation time, waiting time and the like of the ship between ports by combining the ship OD sequence and the ship navigation data.
Based on the OD sequence of the ship, the ship transportation modes such as crude oil, liquefied natural gas, liquefied petroleum gas and the like are combined, so that the construction of a ship transportation network is realized.
Based on the voyage data and the ship transportation network, the transportation demand between OD ports is calculated.
Based on the network structure, the navigation time of the ship between ports, the waiting time between ports and the like, a network optimization model is built, so that the transportation efficiency of the ship is ensured, and the transportation requirement is met with minimum time consumption.
Based on the ship navigation time and waiting time after network optimization, the energy consumption ratio (the carbon emission and the energy consumption of the ship are in equal unitary linear proportional relation) saved by different ships in different ports is calculated, so that the emission reduction calculation is realized.
Based on the waiting time of the ship in the port in the optimized network, the ship is converted into low-speed sailing time, and the corresponding energy consumption saving duty ratio is calculated, so that the energy saving and emission reduction are further realized, the high-efficiency low-carbon green sailing is ensured, and the carbon neutral initiative (UCOP) is supported.
In summary, the method provided by the invention comprises the following steps: performing spatial position matching on ship tracks and port geographic positions in a ship transportation network to obtain a data set of a departure port and a destination port; determining the navigation time and waiting time of the ship between ports based on the data set; constructing a transport network optimization model for reducing the inter-port navigation time and waiting time of the ship based on the ship transport network, the ship transport requirement and the inter-port navigation time and waiting time of the ship; and determining target sailing time and target waiting time of the ship among ports based on the transportation network optimization model, and determining a ship transportation scheme based on the target sailing time and the target waiting time so as to reduce carbon emission of the ship transportation network.
The invention fully utilizes a large amount of ship navigation data, ship information, port information, trade business information and the like, wherein the information comprises ship track and port geographic position, and makes up the defect of a single data source (for example, the ship navigation data often does not know the ship information, so that the navigation characteristic difference of ships with different tonnages cannot be analyzed, the ship navigation data cannot accurately know the flow direction of goods, but the defect can be made up by combining the trade data); advanced theories and methods such as waterway transportation modes, complex networks, space optimization and the like are combined, and a ship transportation network construction and optimization method adaptive to ship navigation features, ship transportation modes and the like is provided. The network optimization model fully considers the point-to-point transportation modes of crude oil, liquefied natural gas, liquefied petroleum gas and the like, and also considers the situation of few transit ports. The navigation characteristics and the transportation network of the ship are fully considered, the departure time and the arrival time are customized for the ship on the premise of further optimizing the limit based on the transportation network, extra carbon emission caused by high-speed navigation and unnecessary waiting is reduced, the purposes of energy conservation and emission reduction are achieved, and high-efficiency low-carbon green shipping is ensured.
According to the invention, an accurate time table is formulated for the ship transportation network of the oil tanker, the departure time and the arrival time are finely managed, so that the waiting time of the ship of the oil tanker in and around the port is reduced, the waiting time of the ship of the oil tanker in or around the port is converted into low-speed running between the departure port and the arrival port, and the emission of the liquefied natural gas transportation network is reduced. At the same time, the lower sailing speed and the shorter waiting time can release the safety management pressure of the ship transportation, and reduce the disastrous consequences caused by related accidents.
As shown in fig. 3, the present invention further provides a ship transportation network carbon emission optimization energy-saving device 300, including:
the matching module 310 is configured to perform spatial position matching on a ship track and a port geographic position in a ship transportation network, so as to obtain a data set of a departure port and a destination port;
a first determining module 320 for determining a voyage time and a waiting time of the ship between ports based on the data set;
a building module 330 for building a transport network optimization model for reducing the inter-port voyage time and waiting time based on the ship transport network, the ship transport demand, and the voyage time and waiting time of the ship between ports;
a second determining module 340, configured to determine a target voyage time and a target waiting time of the ship between ports based on the transportation network optimization model, and determine a ship transportation scheme based on the target voyage time and the target waiting time, so as to reduce carbon emission of the ship transportation network.
In some embodiments, the marine transport network carbon emission optimization economizer 300 further comprises:
and the third determining module is used for determining the transportation requirement of the ship based on all ships sailing in different port voyages and the corresponding loads of all ships before the transportation network optimization model is constructed.
The technical scheme described in the embodiment of the method for optimizing and saving carbon emission of a ship transportation network can be realized by the device for optimizing and saving carbon emission of a ship transportation network, and the specific implementation principle of each module or unit can be referred to the corresponding content in the embodiment of the method for optimizing and saving carbon emission of a ship transportation network, which is not described herein.
As shown in fig. 4, the present invention further provides an electronic device 400 accordingly. The electronic device 400 comprises a processor 401, a memory 402 and a display 403. Fig. 4 shows only some of the components of the electronic device 400, but it should be understood that not all of the illustrated components are required to be implemented and that more or fewer components may be implemented instead.
The memory 402 may be an internal storage unit of the electronic device 400 in some embodiments, such as a hard disk or memory of the electronic device 400. The memory 402 may also be an external storage device of the electronic device 400 in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card) or the like, which are provided on the electronic device 400.
Further, the memory 402 may also include both internal storage units and external storage devices of the electronic device 400. The memory 402 is used for storing application software and various types of data for installing the electronic device 400.
The processor 401 may in some embodiments be a central processing unit (Central Processing Unit, CPU), microprocessor or other data processing chip for executing program code or processing data stored in the memory 402, such as the ship transportation network carbon emission optimization energy saving method of the present invention.
The display 403 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like in some embodiments. The display 403 is used for displaying information at the electronic device 400 and for displaying a visual user interface. The components 401-403 of the electronic device 400 communicate with each other via a system bus.
In some embodiments of the present invention, when the processor 401 executes the ship transportation network carbon emission optimization energy saving program in the memory 402, the following steps may be implemented:
performing spatial position matching on ship tracks and port geographic positions in a ship transportation network to obtain a data set of a departure port and a destination port;
determining the navigation time and waiting time of the ship between ports based on the data set;
constructing a transport network optimization model for reducing the inter-port navigation time and the waiting time based on a ship transport network, the ship transport requirement and the inter-port navigation time and the waiting time of the ship;
and determining target sailing time and target waiting time of the ship among ports based on the transportation network optimization model, and determining a ship transportation scheme based on the target sailing time and the target waiting time so as to reduce carbon emission of the ship transportation network.
It should be understood that: the processor 401 may in addition to the above functions also perform other functions when executing the marine transport network carbon emission optimization energy saving program in the memory 402, see in particular the description of the corresponding method embodiments above.
Further, the type of the electronic device 400 is not particularly limited, and the electronic device 400 may be a portable electronic device such as a mobile phone, a tablet computer, a personal digital assistant (personal digitalassistant, PDA), a wearable device, a laptop (laptop), etc. Exemplary embodiments of portable electronic devices include, but are not limited to, portable electronic devices that carry IOS, android, microsoft or other operating systems. The portable electronic device described above may also be other portable electronic devices, such as a laptop computer (laptop) or the like having a touch-sensitive surface, e.g. a touch panel. It should also be appreciated that in other embodiments of the invention, electronic device 400 may not be a portable electronic device, but rather a desktop computer having a touch-sensitive surface (e.g., a touch panel).
In yet another aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which when executed by a processor is implemented to perform the method of optimizing energy saving for carbon emissions of a marine transportation network provided by the above methods, the method comprising:
performing spatial position matching on ship tracks and port geographic positions in a ship transportation network to obtain a data set of a departure port and a destination port;
determining the navigation time and waiting time of the ship between ports based on the data set;
constructing a transport network optimization model for reducing the inter-port navigation time and the waiting time based on a ship transport network, the ship transport requirement and the inter-port navigation time and the waiting time of the ship;
and determining target sailing time of the ship between ports and target waiting time of the ship between ports based on the transportation network optimization model, and determining a ship transportation scheme based on the target sailing time and the target waiting time so as to reduce carbon emission of the ship transportation network.
Those skilled in the art will appreciate that all or part of the flow of the methods of the embodiments described above may be accomplished by way of a computer program that instructs associated hardware, and that the program may be stored in a computer readable storage medium. The computer readable storage medium is a magnetic disk, an optical disk, a read-only memory or a random access memory.
The method, the device and the electronic equipment for optimizing the carbon emission of the ship transportation network provided by the invention are described in detail, and specific examples are applied to the principle and the implementation mode of the invention, and the description of the examples is only used for helping to understand the method and the core idea of the invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in light of the ideas of the present invention, the present description should not be construed as limiting the present invention.
Claims (10)
1. The carbon emission optimizing and energy saving method for the ship transportation network is characterized by comprising the following steps of:
performing spatial position matching on ship tracks and port geographic positions in a ship transportation network to obtain a data set of a departure port and a destination port;
determining the navigation time and waiting time of the ship between ports based on the data set;
constructing a transport network optimization model for reducing the inter-port navigation time and the waiting time based on a ship transport network, the ship transport requirement and the inter-port navigation time and the waiting time of the ship;
and determining target sailing time and target waiting time of the ship among ports based on the transportation network optimization model, and determining a ship transportation scheme based on the target sailing time and the target waiting time so as to reduce carbon emission of the ship transportation network.
2. The method for optimizing energy conservation of carbon emissions in a shipping network of claim 1, further comprising:
before the transportation network optimization model is constructed, the transportation demands of the ships are determined based on all ships sailing on different port voyages and the corresponding loads of all ships.
3. The method for optimizing energy conservation of carbon emissions in a shipping network of claim 1, further comprising:
and before the transportation network optimization model is constructed, constructing a ship transportation network by taking ports as nodes and taking connection between ports as edges.
4. The method for optimizing energy conservation of carbon emissions in a shipping network of claim 1, wherein the shipping network optimization model is:
wherein c ijk Representing the time spent by a type k vessel between ports i and j, c ijk Including the voyage time and waiting time of the k-type ship between ports i and j; s is S ij Representing the transportation demand between ports i and j;
is the tonnage of the k type ship alpha; />
Indicating whether the k-type ship alpha sails between ports i and j, if the value is 1, indicating that the k-type ship alpha sails between ports i and j, and if the value is 0, indicating that the k-type ship alpha does not sail between ports i and j;
5. The method for optimizing carbon emission energy saving of a ship transportation network according to claim 4, wherein in the case of a transshipment port, the transportation network optimization model is:
wherein c ijk Representing the consumption time of a k-type ship between ports i and j; c imk Representing the consumption time of a k-type ship between ports i and m; c mjk Representing the consumption time of a k-type ship between ports m and j;
S ij representing the transportation demand between ports i and j; s is S im Representing the transport requirements between i and m; s is S mj Representing the transportation requirement between m and j; s is S m Representing the transportation demand of port m;
6. The ship transportation network carbon emission optimization energy-saving method according to any one of claims 1 to 5, further comprising:
and determining a sailing plan of the ship among different ports based on the target sailing time and the target waiting time, determining corresponding energy saving based on the sailing plan, and evaluating an emission reduction energy consumption ratio corresponding to an emission reduction scheme based on the sailing plan.
7. A carbon emission optimizing energy-saving device for a ship transportation network, comprising:
the matching module is used for performing spatial position matching on the ship track and the port geographic position in the ship transportation network to obtain a data set of a departure port and a destination port;
a first determining module for determining the voyage time and waiting time of the ship between ports based on the data set;
the construction module is used for constructing a transport network optimization model for reducing the navigation time and the waiting time between ports based on the ship transport network, the ship transport requirement and the navigation time and the waiting time of the ship between ports;
and the second determining module is used for determining the target sailing time and the target waiting time of the ship among ports based on the transportation network optimization model, and determining a ship transportation scheme based on the target sailing time and the target waiting time so as to reduce the carbon emission of the ship transportation network.
8. The marine transportation network carbon emission optimization energy-saving device of claim 7, further comprising:
and the third determining module is used for determining the transportation requirement of the ship based on all ships sailing in different port voyages and the corresponding loads of all ships before the transportation network optimization model is constructed.
9. An electronic device comprising a memory and a processor, wherein,
the memory is used for storing programs;
the processor, coupled to the memory, for executing the program stored in the memory to implement the steps in the marine transportation network carbon emission optimization energy saving method as set forth in any one of the preceding claims 1 to 6.
10. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the ship transportation network carbon emission optimization energy saving method according to any one of claims 1 to 6.
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| US20160195399A1 (en) * | 2013-09-06 | 2016-07-07 | Nippon Yusen Kabushiki Kaisha | Device, program, recording medium and method for facilitating management of schedule of voyage |
| CN114066354A (en) * | 2021-11-12 | 2022-02-18 | 中远海运科技股份有限公司 | Intelligent air route recommendation method and system based on global ship historical track |
| CN115409408A (en) * | 2022-09-20 | 2022-11-29 | 上海交通大学 | Port energy system coordination optimization method and system based on LNG ship dynamic behavior |
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| US20160195399A1 (en) * | 2013-09-06 | 2016-07-07 | Nippon Yusen Kabushiki Kaisha | Device, program, recording medium and method for facilitating management of schedule of voyage |
| CN114066354A (en) * | 2021-11-12 | 2022-02-18 | 中远海运科技股份有限公司 | Intelligent air route recommendation method and system based on global ship historical track |
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