CN108615117B - Shipping bearing capacity evaluation method and device and storage medium - Google Patents
Shipping bearing capacity evaluation method and device and storage medium Download PDFInfo
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Abstract
The invention provides a shipping bearing capacity evaluation method, a shipping bearing capacity evaluation device and a storage medium, and relates to the technical field of transportation demand simulation. The method for evaluating the shipping bearing capacity comprises the steps of firstly, producing a total value based on weighted regions of a first region and a second region, calculating and obtaining the shipping bearing capacity by using a gravity model, obtaining the channel passing capacity of different channels between the first region and the second region by using a channel year design passing capacity calculation formula, obtaining the shipping supply capacity of each channel based on the channel passing capacity, obtaining the shipping bearing capacity supply and demand balance index by using a shipping bearing capacity supply and demand balance index calculation formula based on the shipping bearing capacity and the shipping supply capacity, and obtaining a shipping bearing capacity evaluation result based on the shipping bearing capacity supply and demand balance index. The shipping bearing capacity evaluation method improves the accuracy of the shipping bearing capacity evaluation by combining the economic trade data and the shipping channel transportation data, so that the evaluation is more practical.
Description
Technical Field
The invention relates to the technical field of transportation demand simulation, in particular to a method and a device for evaluating shipping bearing capacity and a storage medium.
Background
With the globalization of economic trade, the trade transportation volume between regions is also rapidly increased, and the simulation budget for the transportation volume demand has become an important basis for planning, wherein the evaluation of the shipping bearing capacity is also an important part. Currently, research on bearing capacity evaluation mainly focuses on ecological bearing capacity, water resource bearing capacity, land bearing capacity and the like, and is used for describing bearing conditions of certain resources or regional environments. Shipping is an important carrier for socioeconomic development, but the evaluation and analysis research on the socioeconomic development capability of shipping bearing is blank. Shipping bearing capacity is essentially the process by which shipping systems complete the transportation of goods. The development of social economy drives the space flow of various products to form the demand of cargo transportation, and shipping competes with land, air and other transportation modes to provide certain transport capacity for the demand of cargo transportation. Thus, the ability of a shipping system to carry the development of socio-economic factors is essential to the ability of a shipping system to meet the needs of economically driven cargo transportation.
Many studies on resource bearing capacity are carried out, and bearing capacity evaluation methods are different depending on different research subjects and different problems to be solved. However, the existing research on shipping development only analyzes shipping infrastructure construction conditions in a unilateral way or simply predicts the shipping volume, and cannot accurately estimate the shipping bearing capacity in a practical way.
Disclosure of Invention
In view of the above, an object of the embodiments of the present invention is to provide a method and an apparatus for evaluating shipping capacity, and a storage medium, so as to solve the above problems.
In a first aspect, an embodiment of the present invention provides a shipping capacity evaluation method, where the transportation demand budget method first obtains a shipping traffic flow by using a gravity model calculation based on a total production value of weighted areas of a first area and a second area, obtains a channel passing capacity of different channels between the first area and the second area by using a channel year design passing capacity calculation formula, obtains a shipping supply capacity of each channel based on the channel passing capacity, obtains a shipping capacity supply and demand balance index by using a shipping capacity supply and demand balance index calculation formula based on the shipping traffic flow and the shipping supply capacity, and obtains a shipping capacity evaluation result based on the shipping capacity supply and demand balance index.
According to a first aspect, the obtaining of the shipping traffic flow by utilizing a gravity model calculation based on the total production value of the weighted regions of the first region and the second region includes: acquiring weighted area total production values of a first area and a second area, and calculating estimated freight volumes of the first area and the second area by utilizing a trade gravitation model based on the weighted area total production values; and obtaining the shipping communication volume between the first region and the second region based on the ratio of the water transportation demand volume between the first region and the second region and the estimated freight volume.
In summary of the first aspect, the obtaining a weighted area production total value of the first area and the second area includes: adding a first industry added value, a second industry added value and a third industry added value of the first area in the basic year according to different weights to obtain a total production value of the first weighted area; and adding the first industry added value, the second industry added value and the third industry added value of the second area in the basic year according to different weights to obtain a total production value of the second weighted area.
In summary of the first aspect, the obtaining, by using a channel year design throughput calculation formula, channel throughput of each channel between the first region and the second region, and obtaining shipping supply capacities of different channels based on the channel throughput includes: acquiring relevant data of the first region and the second region, and designing a passing capacity calculation formula by using the channel year
Obtaining the channel passing capacity of each section between the first region and the second region, wherein M is the maximum tonnage of the ship, T is the number of days of full-year navigation, Kh is a design hour coefficient, Q is the channel passing number of the ship, and Q is the channel passing capacity; and acquiring the shipping supply capacity of each section of channel based on the channel passing capacity.
According to the first aspect, the shipping bearing capacity is obtained by utilizing a shipping bearing capacity supply and demand balance index calculation formula based on the shipping traffic flow and the shipping supply capacityA supply and demand balance index comprising: segmenting the navigation channels according to the traffic start and stop point route maps of the first region and the second region, distributing the shipping traffic flow to each segment, and performing superposition calculation to obtain the predicted annual shipping demand of each segment of the navigation channels; calculating formula by utilizing shipping bearing capacity supply and demand balance index based on the predicted annual shipping demand and the shipping supply capacity of each section of channel
And obtaining a shipping bearing capacity supply and demand balance index, wherein SD is the predicted annual shipping demand, and SS is the shipping supply capacity.
In a second aspect, an embodiment of the present invention provides an apparatus for evaluating shipping bearing capacity, where the apparatus includes a shipping communication quantity calculation module, a shipping supply capacity calculation module, and a shipping bearing capacity evaluation module. And the air traffic flow calculation module is used for calculating and obtaining air traffic flow by utilizing a gravity model based on the weighted area production total value of the first area and the second area. The shipping supply capacity calculation module is used for obtaining the channel passing capacity of different channels between the first region and the second region by utilizing a channel annual design passing capacity calculation formula, and obtaining the shipping supply capacity of each channel based on the channel passing capacity. The shipping bearing capacity evaluation module is used for obtaining a shipping bearing capacity supply and demand balance index by utilizing a shipping bearing capacity supply and demand balance index calculation formula based on the shipping traffic flow and the shipping supply capacity, and obtaining a shipping bearing capacity evaluation result based on the shipping bearing capacity supply and demand balance index.
In summary of the second aspect, the shipping communication amount calculation module includes a predicted shipping communication amount calculation unit and a shipping communication amount calculation unit. The estimated freight volume calculating unit is used for acquiring a weighted area total production value of a first area and a second area, and calculating and obtaining the estimated freight volumes of the first area and the second area by utilizing a trade gravitation model based on the weighted area total production value. The shipping traffic flow calculation unit is used for obtaining the shipping communication volume between the first region and the second region based on the ratio of the water transportation demand volume between the first region and the second region and the estimated freight volume.
In summary of the second aspect, the shipping supply capacity calculation module includes a channel passing capacity calculation unit and a shipping supply capacity acquisition unit. The channel passing capacity calculation unit is used for acquiring relevant data of the channels of the first region and the second region and utilizing a channel annual design passing capacity calculation formula
And acquiring the channel passing capacity of each section between the first region and the second region, wherein M is the maximum tonnage of the ship, T is the number of days of full-year navigation, Kh is a design hour coefficient, Q is the channel passing number of the ship, and Q is the channel passing capacity. The shipping supply capacity acquisition unit is used for acquiring the shipping supply capacity of each section of channel based on the channel passing capacity.
In summary of the second aspect, the shipping capacity evaluation module includes a predicted annual shipping demand calculation unit and a shipping supply capacity calculation unit. The forecast annual shipping demand calculation unit is used for segmenting the shipping channels according to the traffic start point route maps of the first region and the second region, distributing the shipping traffic flow to each segment, and performing superposition calculation to obtain the forecast annual shipping demand of each segment of the shipping channels. The shipping supply capacity calculation unit is used for calculating a formula by utilizing a shipping bearing capacity supply and demand balance index based on the predicted annual shipping demand and the shipping supply capacity of each section of channel
And obtaining a shipping bearing capacity supply and demand balance index, wherein SD is the predicted annual shipping demand, and SS is the shipping supply capacity.
In a third aspect, an embodiment of the present invention further provides a storage medium, where the computer-readable storage medium stores computer program instructions, and the computer program instructions are read by a processor and executed to perform the steps in the method.
The beneficial effects provided by the invention are as follows:
the invention provides a shipping bearing capacity evaluation method, a shipping bearing capacity evaluation device and a storage medium. According to the shipping bearing capacity evaluation method, the area production total value is replaced by the weighted production total value obtained by weighting the first production increase value, the second industry increase value and the third industry increase value of the two areas respectively, and the calculation precision of the transportation requirement is improved. The method for evaluating the shipping bearing capacity adopts the shipping traffic flow and the shipping bearing capacity data of each section of channel and evaluates the shipping bearing capacity of each section of channel by using the shipping bearing capacity supply and demand balance index, so that the shipping bearing capacity evaluation result is more accurate and reliable.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the embodiments of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a flowchart of a shipping bearing capacity evaluation method according to a first embodiment of the present invention;
FIG. 2 is a flowchart of a shipping communication calculation step according to a first embodiment of the present invention;
fig. 3 is a block diagram of a shipping load evaluation apparatus according to a second embodiment of the present invention;
fig. 4 is a block diagram of an electronic device applicable to the embodiment of the present application according to a third embodiment of the present invention.
Icon: 100-shipping bearing capacity evaluation device; 110-a shipping communication quantity calculation module; 120-shipping supply capability calculation module; 130-shipping bearing capacity evaluation module; 200-an electronic device; 201-a memory; 202-a memory controller; 203-a processor; 204-peripheral interface; 205-input-output unit; 206-an audio unit; 207-display unit.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
First embodiment
The research of the applicant discovers that due to the deepening of the economic globalization degree, the trade between various regions is more frequent and the trade quantity is rapidly increased both in China and abroad, so that in order to better plan and manage the trade transportation, the shipping is used as the primary transportation means of the transportation of bulk goods, and the accurate evaluation of the shipping bearing capacity is also an important step. However, the existing resource bearing capacity assessment methods, such as the shipping bearing capacity assessment method based on the supply and demand balance method, the system dynamics method and the multi-index comprehensive evaluation method, cannot scientifically reflect the actual factors influencing the shipping requirements, and the simulation budget of the shipping bearing capacity is not accurate enough. The system dynamics method is difficult to grasp the categories and mathematical forms of independent variables, and a simulation result has large uncertainty; for a multi-index comprehensive evaluation method, a plurality of subsystems are often established, influence factors of the subsystems are analyzed, weight matching is performed on the influence factors to serve as evaluation indexes of the subsystems, and actually, the types and actual meanings of each subsystem and each influence factor are greatly different, so that simple mashup processing cannot be performed together. Therefore, in order to solve the above problems, a first embodiment of the present invention provides a shipping bearing capacity evaluation method.
Referring to fig. 1, fig. 1 is a flowchart of a shipping capacity evaluation method according to a first embodiment of the present invention. The shipping bearing capacity evaluation method comprises the following specific steps:
step S10: and calculating to obtain the air traffic flow by utilizing a gravity model based on the total production value of the weighted regions of the first region and the second region.
Step S20: and acquiring the channel passing capacity of different channels between the first region and the second region by using a channel year design passing capacity calculation formula, and acquiring the shipping supply capacity of each channel based on the channel passing capacity.
Step S30: and obtaining a shipping bearing capacity supply and demand balance index by utilizing a shipping bearing capacity supply and demand balance index calculation formula based on the shipping traffic flow and the shipping supply capacity, and obtaining a shipping bearing capacity evaluation result based on the shipping bearing capacity supply and demand balance index.
For step S10, namely: and calculating to obtain the air traffic flow by utilizing a gravity model based on the total production value of the weighted regions of the first region and the second region. As an implementation manner, please refer to fig. 2, fig. 2 is a flowchart of a shipping traffic calculating step according to a first embodiment of the present invention, where the shipping traffic calculating step may include the following specific steps:
s11: and acquiring a weighted area total production value of the first area and the second area, and calculating and obtaining the estimated freight volume of the first area and the second area by utilizing a trade gravitation model based on the weighted area total production value.
S12: and obtaining the shipping communication volume between the first region and the second region based on the ratio of the water transportation demand volume between the first region and the second region and the estimated freight volume.
For step S11, namely: and acquiring a weighted area total production value of the first area and the second area, and calculating and obtaining the estimated freight volume of the first area and the second area by utilizing a trade gravitation model based on the weighted area total production value. In most of the existing freight volume simulation methods, the freight volume is calculated by directly adopting the total area production values of the first area and the second area, but the method has the problems that the total area production value statistics are too general, and the calculated freight volume value is not accurate enough. In order to solve this problem, the embodiment performs subsequent calculation by using the first weighted total production value of the first region and the second weighted total production value of the second region, where the obtaining the weighted total production values of the first region and the second region includes: adding a first industry added value, a second industry added value and a third industry added value of the first area in the basic year according to different weights to obtain a total production value of the first weighted area; and adding the first industry added value, the second industry added value and the third industry added value of the second area in the basic year according to different weights to obtain a total production value of the second weighted area. The first industry refers to the industry for producing material materials, and comprises production departments which directly take natural objects as objects, such as planting industry, forestry industry, animal husbandry industry, aquaculture industry and the like; the second industry is the processing industry, which utilizes basic production material materials for processing and selling; the third industry refers to other industries than the first and second industries. The third industry is wide, including transportation, communication, business, catering, financial insurance, administration, home service and other non-material production departments. Further, the weighting is to increase the value in the first industry and the second industryAnd multiplying the industry added value and the third industry added value by corresponding coefficients respectively, wherein the coefficients are used for expressing the proportion of the first industry added value, the second industry added value and the third industry added value in the first area or the second area. According to the embodiment of the invention, the weighted production total value is obtained by carrying out weighted summation on the first industry increment value, the second industry increment value and the third industry increment value of each region, so that the weighted production total value is adopted to replace the common production total value in subsequent calculation, the calculation accuracy degree of the estimated freight volume is greatly improved, and the industrial variety factors influencing the estimated freight volume can be more accurately reflected. It should be understood that the weighting factor of the weighted total production value can be drawn up according to the average ratio of the first industry increase value, the second industry increase value and the third industry increase value of the first area or the second area in the past year. To better understand the manner of obtaining the total value of the weighted production in the weighted area, the first province a and the second province B are taken as an example, data of a first industry increase value G1, a second industry increase value G2 and a third industry increase value G3 of the first five years old of the province a and the province B are obtained, the weighting coefficients of the province a to the first industry increase value G1, the second industry increase value G2 and the third industry increase value G3 are set to be a 0.1, B to 0.05 and c to 0.85, the weighting coefficients of the province B to the first industry increase value, the second industry increase value and the third industry increase value a to 0.2, B to 0.1 and c to 0.7, and the first total value of the weighted production is obtained by the formula wg (total value of the weighted production) G1 to a + G2 + G3 + G2 + c of the province a to obtain the first total value of the weighted production by the formula wg (total value of the weighted production)iAnd second weighted production Total WGDP of province Bj。
In the conventional trade volume calculation mode, when the distance between the first region and the second region is selected, most of the linear distances between the region shape center points of the two regions are directly selected as distance data for subsequent calculation. By adopting the mode to carry out the freight volume budget by utilizing the distance data, the problems that the selection of the starting point of the freight route is inaccurate and the precision of the freight volume budget is influenced exist. In order to improve the problem, in the present embodiment, the railway mileage between provinces of the first region and the second region is selected as the distance data for subsequent calculation.
Then according to the gravity model after calibration
Calculating and obtaining the estimated freight volume of the first region and the second region, wherein TijRepresenting projected shipment volumes for the first region and the second region; WGDPiA weighted GDP representing the first region; WGDPjA weighted GDP representing the second region; dijRepresenting an effective distance between the first region and the second region; c, beta1，β2，β3Representing model parameters.
For step S20, namely: and acquiring the channel passing capacity of different channels between the first region and the second region by using a channel year design passing capacity calculation formula, and acquiring the shipping supply capacity of each channel based on the channel passing capacity. The shipping supply capacity is determined by the channel passing capacity, and the channel passing capacities of the first area and the second area are calculated by the channel annual design passing capacity calculation formula
And calculating to obtain the tonnage M, the annual navigation days T, the design hour coefficient Kh, the channel passing number Q and the channel passing capacity Q, wherein the maximum tonnage M is the maximum tonnage of the ship, the annual navigation days T, the channel passing number Q and the channel passing capacity Q. After the channel passing ability is obtained, the step S20 further needs to obtain the shipping supply ability of each channel based on the channel passing ability.
For step S30, namely: and obtaining a shipping bearing capacity supply and demand balance index by utilizing a shipping bearing capacity supply and demand balance index calculation formula based on the shipping traffic flow and the shipping supply capacity, and obtaining a shipping bearing capacity evaluation result based on the shipping bearing capacity supply and demand balance index. As an implementation manner, step S30 in this embodiment includes the following specific steps:
s31: and segmenting the navigation channels according to the traffic start and stop point route maps of the first region and the second region, distributing the shipping traffic flow to each segment, and performing superposition calculation to obtain the predicted annual shipping demand of each segment of the navigation channels.
S32: calculating formula by utilizing shipping bearing capacity supply and demand balance index based on the predicted annual shipping demand and the shipping supply capacity of each section of channel
And obtaining a shipping bearing capacity supply and demand balance index, wherein SD is the predicted annual shipping demand, and SS is the shipping supply capacity.
S33: and comparing with a grading evaluation standard table based on SSCI (steady state interface), and obtaining a shipping bearing capacity evaluation result based on the shipping bearing capacity supply and demand balance index.
For step S33, the SSCI-based rating criteria are tabulated as:
table 1 SCCI-based rating criteria table
Second embodiment
In order to better perform transportation demand simulation budget in cooperation with the shipping bearing capacity evaluation method provided in the first embodiment, a second embodiment of the invention provides a shipping bearing capacity evaluation device 100.
Referring to fig. 3, fig. 3 is a block diagram of a shipping capacity evaluation apparatus according to a second embodiment of the present invention.
The shipping bearing capacity evaluation device 100 includes a shipping communication amount calculation module 110, a shipping supply capacity calculation module 120, and a shipping bearing capacity evaluation module 130.
And the shipping traffic calculating module 110 is configured to calculate, by using the gravity model, a shipping traffic based on the weighted area production total value of the first area and the weighted area production total value of the second area.
And the shipping supply capacity calculation module 120 is configured to obtain channel passing capacities of different channels between the first region and the second region by using a channel year design passing capacity calculation formula, and obtain the shipping supply capacity of each channel based on the channel passing capacities.
And the shipping bearing capacity evaluation module 130 is configured to obtain a shipping bearing capacity supply and demand balance index by using a shipping bearing capacity supply and demand balance index calculation formula based on the shipping traffic flow and the shipping supply capacity, and obtain a shipping bearing capacity evaluation result based on the shipping bearing capacity supply and demand balance index.
Optionally, the shipping communication volume calculation module 110 includes a projected shipping volume calculation unit and a shipping communication volume calculation unit. The estimated freight volume calculating unit is used for acquiring a weighted area total production value of a first area and a second area, and calculating and obtaining the estimated freight volumes of the first area and the second area by utilizing a trade gravitation model based on the weighted area total production value. The shipping traffic flow calculation unit is used for obtaining the shipping communication volume between the first region and the second region based on the ratio of the water transportation demand volume between the first region and the second region and the estimated freight volume.
For the shipping supply capacity calculation module 120, as an embodiment, the shipping supply capacity calculation module 120 includes a channel passing capacity calculation unit and a shipping supply capacity acquisition unit. The channel passing capacity calculation unit is used for acquiring relevant data of the channels of the first region and the second region and utilizing a channel annual design passing capacity calculation formula
And acquiring the channel passing capacity of each section between the first region and the second region, wherein M is the maximum tonnage of the ship, T is the number of days of full-year navigation, Kh is a design hour coefficient, Q is the channel passing number of the ship, and Q is the channel passing capacity. The shipping supply capacity acquisition unit is used for acquiring the shipping supply capacity of each section of channel based on the channel passing capacity.
Further, the shipping capacity evaluation module 130 may include a predicted annual shipping demand calculation unit and a shipping supply capacity calculation unit. The forecast annual shipping demand calculation unit is used for segmenting a navigation channel according to the traffic start and stop point route maps of the first region and the second region, distributing the shipping traffic flow to each segment,and (5) obtaining the predicted annual shipping requirements of each section of channel through superposition calculation. The shipping supply capacity calculation unit is used for calculating a formula by utilizing a shipping bearing capacity supply and demand balance index based on the predicted annual shipping demand and the shipping supply capacity of each section of channel
And obtaining a shipping bearing capacity supply and demand balance index, wherein SD is the predicted annual shipping demand, and SS is the shipping supply capacity.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working process of the apparatus described above may refer to the corresponding process in the foregoing method, and will not be described in too much detail herein.
Third embodiment
Referring to fig. 4, fig. 4 is a block diagram of an electronic device applicable to the embodiment of the present application according to a third embodiment of the present invention. The electronic device 200 may include the shipping capacity evaluation apparatus 100, a memory 201, a storage controller 202, a processor 203, a peripheral interface 204, an input-output unit 205, an audio unit 206, and a display unit 207.
The memory 201, the memory controller 202, the processor 203, the peripheral interface 204, the input/output unit 205, the audio unit 206, and the display unit 207 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The shipping capacity evaluation device 100 includes at least one software function module which can be stored in the memory 201 in the form of software or firmware (firmware) or solidified in an Operating System (OS) of the shipping capacity evaluation device 100. The processor 203 is configured to execute an executable module stored in the memory 201, such as a software functional module or a computer program included in the shipping capacity evaluation apparatus 100.
The Memory 201 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 201 is used for storing a program, the processor 203 executes the program after receiving an execution instruction, and the method executed by the server defined by the flow process disclosed in any of the foregoing embodiments of the present invention may be applied to the processor 203, or implemented by the processor 203.
The processor 203 may be an integrated circuit chip having signal processing capabilities. The Processor 203 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor 203 may be any conventional processor or the like.
The peripheral interface 204 couples various input/output devices to the processor 203 as well as to the memory 201. In some embodiments, the peripheral interface 204, the processor 203, and the memory controller 202 may be implemented in a single chip. In other examples, they may be implemented separately from the individual chips.
The input and output unit 205 is used for providing input data for a user to realize the interaction of the user with the server (or the local terminal). The input/output unit 205 may be, but is not limited to, a mouse, a keyboard, and the like.
The audio unit 206 provides an audio interface to the user, which may include one or more microphones, one or more speakers, and audio circuitry.
The display unit 207 provides an interactive interface (e.g., a user operation interface) between the electronic device 200 and a user or is used to display image data for user reference. In this embodiment, the display unit 207 may be a liquid crystal display or a touch display. In the case of a touch display, the display can be a capacitive touch screen or a resistive touch screen, which supports single-point and multi-point touch operations. Supporting single-point and multi-point touch operations means that the touch display can sense touch operations from one or more locations on the touch display at the same time, and the sensed touch operations are sent to the processor 203 for calculation and processing.
It is to be understood that the configuration shown in fig. 4 is merely exemplary, and the electronic device 200 may include more or fewer components than shown in fig. 4, or may have a different configuration than shown in fig. 4. The components shown in fig. 4 may be implemented in hardware, software, or a combination thereof.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working process of the apparatus described above may refer to the corresponding process in the foregoing method, and will not be described in too much detail herein.
In summary, the invention provides a shipping capacity evaluation method, a shipping capacity evaluation device and a storage medium, wherein the shipping capacity evaluation method introduces a trade gravity model into the calculation of the shipping volume, fundamentally explores factors influencing the shipping volume, and can analyze the factors influencing the shipping volume. According to the shipping bearing capacity evaluation method, the area production total value is replaced by the weighted production total value obtained by weighting the first production increase value, the second industry increase value and the third industry increase value of the two areas respectively, and the calculation precision of the transportation requirement is improved. The method for evaluating the shipping bearing capacity adopts the shipping traffic flow and the shipping bearing capacity data of each section of channel and evaluates the shipping bearing capacity of each section of channel by using the shipping bearing capacity supply and demand balance index, so that the shipping bearing capacity evaluation result is more accurate and reliable.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Claims (4)
1. A shipping bearing capacity evaluation method is characterized by comprising the following steps:
acquiring weighted area total production values of a first area and a second area, and calculating and obtaining estimated freight of the first area and the second area by utilizing a trade gravitation model based on the weighted area total production valuesAmount, the trade gravitation model is
Wherein, TijIndicating the estimated freight volume, WGDP, of said first region and said second regioniA weighted GDP, WGDP representing the first regionjA weighted GDP, D representing the second regionijRepresenting the effective distance, C, beta, between said first and said second region1，β2，β3Representing model parameters; obtaining a shipping communication volume between the first region and the second region based on the ratio of the water demand volume between the first region and the second region and the estimated shipping volume;
acquiring the channel passing capacity of different channels between the first region and the second region by using a channel annual design passing capacity calculation formula, and acquiring the shipping supply capacity of each channel based on the channel passing capacity, wherein the channel annual design passing capacity calculation formula is
Calculating to obtain M is the maximum tonnage of the ship, T is the navigation days of the whole year, and KhIn order to design an hour coefficient, Q is the passing number of ships in the channel, and Q is the passing capacity of the channel;
segmenting the navigation channels according to the traffic start and stop point route maps of the first region and the second region, distributing the shipping traffic flow to each segment, and performing superposition calculation to obtain the predicted annual shipping demand of each segment of the navigation channels; calculating formula by utilizing shipping bearing capacity supply and demand balance index based on the predicted annual shipping demand and the shipping supply capacity of each section of channel
And acquiring a shipping bearing capacity supply and demand balance index, wherein SD is the predicted annual shipping demand, SS is the shipping supply capacity, and a shipping bearing capacity evaluation result is acquired based on the shipping bearing capacity supply and demand balance index.
2. The shipping capacity evaluation method of claim 1, wherein said obtaining a weighted area production total for the first area and the second area comprises:
adding a first industry added value, a second industry added value and a third industry added value of the first area in the basic year according to different weights to obtain a total production value of the first weighted area;
and adding the first industry added value, the second industry added value and the third industry added value of the second area in the basic year according to different weights to obtain a total production value of the second weighted area.
3. A shipping bearing capacity evaluation device characterized by comprising:
the shipping communication quantity calculating module is used for acquiring the total production value of the weighted area of the first area and the second area, and calculating and obtaining the estimated freight quantity of the first area and the second area by utilizing a trade gravitation model based on the total production value of the weighted area, wherein the trade gravitation model is
Wherein, TijIndicating the estimated freight volume, WGDP, of said first region and said second regioniA weighted GDP, WGDP representing the first regionjA weighted GDP, D representing the second regionijRepresenting the effective distance, C, beta, between said first and said second region1，β2，β3Representing model parameters; obtaining a shipping communication volume between the first region and the second region based on the ratio of the water demand volume between the first region and the second region and the estimated shipping volume;
a shipping supply capacity calculation module for obtaining the channel passing capacity of different channels between the first region and the second region by using a channel annual design passing capacity calculation formula, and obtaining the shipping supply capacity of each channel based on the channel passing capacity, wherein the channel annual design passing capacity calculation formula is used for calculating the channel passing capacity of each channelThe design throughput capability calculation formula is
Calculating to obtain M is the maximum tonnage of the ship, T is the navigation days of the whole year, and KhIn order to design an hour coefficient, Q is the passing number of ships in the channel, and Q is the passing capacity of the channel;
the shipping bearing capacity evaluation module is used for segmenting the navigation channels according to the traffic start and stop point route maps of the first region and the second region, distributing the shipping traffic flow to each segment, and performing superposition calculation to obtain the predicted annual shipping demand of each segment of the navigation channels; calculating formula by utilizing shipping bearing capacity supply and demand balance index based on the predicted annual shipping demand and the shipping supply capacity of each section of channel
And acquiring a shipping bearing capacity supply and demand balance index, wherein SD is the predicted annual shipping demand, SS is the shipping supply capacity, and a shipping bearing capacity evaluation result is acquired based on the shipping bearing capacity supply and demand balance index.
4. A computer-readable storage medium having computer program instructions stored thereon which, when read and executed by a processor, perform the steps of the method of any of claims 1-2.
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| CN106202858A (en) * | 2016-06-23 | 2016-12-07 | 河海大学 | A kind of navigation channel runs through the determination method of ability and service level |
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| CN106202858A (en) * | 2016-06-23 | 2016-12-07 | 河海大学 | A kind of navigation channel runs through the determination method of ability and service level |
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