JP2010237755A - Device and system for supporting operation - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To obtain an operation support device for efficiently retrieving the optimal shipping route including the safety of a ship or the like. <P>SOLUTION: The operation support device includes: a cost parameter generation means 21 for setting intersections where an ocean space from the departure spot to the target spot is divided into optional intervals like grids as a plurality of nodes, and for generating cost prediction data by calculating the prediction value of a parameter related with costs between the nodes on the basis of sea meteorological data and individual ship data uniquely owned by a ship; a collision avoidance support parameter generation means 22 for generating collision avoidance prediction data on the basis of at least the calculated prediction value or the sea meteorological data about a parameter related with the ship safety between the nodes on the basis of the sea meteorological data and the individual ship data; and a shipping route retrieval means 23 for extracting edges satisfying a range shown by threshold data from the departure spot to the target spot on the basis of the collision avoidance prediction data and threshold data showing a threshold indicating an allowable limit related with safety navigation, and for retrieving the optimal shipping route from the edges to the target spot on the basis of the cost prediction data. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a system for searching a route of a ship. In particular, the present invention relates to an apparatus and a system for efficiently searching for an optimum route in a short time while placing emphasis on rough weather avoidance.

  When a ship navigates, it is necessary to plan a navigation plan for the route in advance based on various sea weather data (hereinafter referred to as sea weather data) that are expected to be encountered during the voyage. Is generally done. A system for supporting the planning of a voyage plan and performing route setting or the like has been proposed (see, for example, Patent Document 1). In the route setting, it is generally set so that costs such as navigation time and fuel consumption are reduced.

Japanese Patent Laying-Open No. 2005-162117 (FIG. 1)

  However, when sailing, it is a problem that safety should be more important than cost. Also in the above-mentioned patent documents, a sea area that is likely to cause an accident such as a grounding is regarded as a dangerous sea area, and selection of the dangerous sea area as a navigation route is avoided. However, removing a dangerous sea area from a route is a common practice in developing a route plan, and navigation is not safe unless it is a dangerous area.

  For example, in the case of stormy weather, the hull sways and tilts due to waves, winds, etc., sea water hits the hull, and an impact is applied, or a propeller is exposed to the sea. This causes damage, cracks, etc. of the hull and main engine. In addition, seafarers may be exposed to danger, seasickness, flooding of equipment on the deck, damage, etc. may occur. In the case of a cargo ship or the like, there is a possibility that the cargo collapses or the baggage is flooded by seawater or the like. A decision to avoid such a phenomenon that threatens the safety of the ship and to ensure the safety of navigation is basically made by an operator such as a captain before or during navigation. If it is judged that there is a problem with the safety of the ship while looking at the result of the planned route (for example, according to the method of Patent Document 1), the route change should be considered until the safety issue is resolved. Repeatedly.

  Therefore, the present invention has an object to provide an operation support system that solves the above-described problems and efficiently searches for an optimum route including the safety of a ship (including a hull, crew, luggage, etc.). To do.

  The operation support apparatus according to the present invention sets a plurality of nodes as intersections obtained by dividing a sea area from a departure point to a destination point in a grid pattern at arbitrary intervals, and includes marine weather data and individual ship data inherently possessed by the ship, Based on the cost parameter generation means for calculating the predicted value of the parameter related to the cost between the nodes and generating the cost prediction data, and the ship safety between the nodes based on the sea weather data and the individual ship data For a plurality of parameters, an evacuation support parameter generating means for generating evacuation prediction data based on at least one of the calculated predicted value or sea weather data, a storage device for storing at least cost prediction data and evacuation prediction data, and a storage device Based on the stored evacuation prediction data and threshold data representing a threshold indicating an allowable limit for safe navigation, Route search means for extracting a route between nodes satisfying the range indicated by the threshold data from the departure point to the destination point, and searching for an optimum route from the route between the extracted nodes to the destination based on the cost prediction data Are provided.

  According to the present invention, the route search unit selects the optimum route from the departure point to the destination point among the extracted routes between the nodes based on the avoidance prediction data and the threshold data generated by the avoidance support parameter generation unit. Therefore, after searching for a route that satisfies the requirements related to safety, it can be presented to the operator or the like. Therefore, basically, the operator only has to confirm the searched route. Further, it is possible to prevent waste of time, labor, and the like, such as performing the search process for the optimum route a plurality of times in order to perform avoidance. Furthermore, by setting threshold data, it is possible to make a uniform judgment without being influenced by the operator or the like. In addition, it is possible to prevent an artificial error such as an oversight that may be caused by a person's judgment.

It is a figure showing the structure of the operation assistance apparatus which concerns on Embodiment 1 of this invention. It is a figure showing the flow of a process of the optimal route calculation apparatus 20 which concerns on Embodiment 1. FIG. It is a figure showing the flow of a process of the optimal route calculation apparatus 20 which concerns on Embodiment 2. FIG. It is a figure showing the example of a structure of the operation assistance system which concerns on Embodiment 5 of this invention.

Embodiment 1 FIG.
FIG. 1 is a diagram illustrating a configuration of an operation support apparatus according to Embodiment 1 of the present invention. The operation support apparatus in FIG. 1 performs processing for searching for a route by performing calculations and the like based on various types of input data.

  Here, in the route search process of the navigation support device according to the present embodiment, for a navigation area such as a sea area, for example, the latitude and longitude directions are divided into a lattice (mesh) at predetermined intervals (for example, 2.5 degree intervals). Each intersection is set as a node. The numerical value of this interval can be arbitrarily determined for each of latitude and longitude. And when a ship navigates, it shall move between nodes (edge). Therefore, for example, between a certain node and its surrounding nodes is the minimum unit of a route searched by the operation support device. In the route search process, by connecting the edges judged to be the best from the aspect of safety and cost (economic efficiency, etc.) among the edges from one node to the next node, for example, the departure point (during navigation) The optimum route is searched from the current location (including the current location) to the destination location.

  In FIG. 1, an instruction input means 11 is a means for an operator or the like to input data relating to an instruction regarding a departure point, a destination point, etc., and a cost (for example, fuel consumption amount) to be referred to for a route search. It is. Although not specifically shown here, for example, the data of the current location is not necessarily input by the operator, such as automatically inputting data measured by GPS (Global Positioning System). Etc.

  The sea meteorological data input means 12 is for inputting data relating to the sea weather (eg wave height, wind speed, etc., hereinafter referred to as sea weather data) at each node, for example, from the present to one week ahead, for example, from an external device (system). Means. Here, it is assumed that the sea weather data input means 12 further performs processing for storing in the storage device 30. In the present embodiment, the cost parameter generation means 21 and the avoidance support parameter generation means 22 both use sea weather data for calculation.

  The threshold value input unit 13 avoids danger when the route search unit 23 of the optimum route calculation device 20 searches for a route based on avoidance prediction data described later, and determines an allowable limit in relation to safety. This is a means for inputting a threshold value serving as a reference (condition) for performing as threshold data. Here, it is assumed that the threshold value input unit 13 further performs processing for storing in the storage device 30. Regarding the threshold value, for example, there is an absolute value as a threshold value, and there is a method that performs a determination based on a range by a ± threshold value in the search process (if there is only a positive value, a range of 0 to a threshold value, a threshold value or more, etc. is handled. In some cases). By allowing the threshold value input means 13 to input the threshold value, it is possible to check the route when the threshold value is changed. In addition, the occurrence probability of a possible event may be set as a threshold value. In addition, although comprised by another means here, you may comprise by the same means as the instruction | indication input means 11, for example.

  In the present embodiment, the storage device 30 is composed of sea weather data storage means 31, individual ship data storage means 32, threshold data storage means 33, and predicted data storage means 34. The sea weather data storage means 31 stores the sea weather data input via the sea weather data input means 12. The individual ship data storage means 32 stores individual ship data. The individual ship data stored is data relating to the basic performance of the hull and main engine (diesel engine or the like) that each ship has individually. Here, individual ship data is stored in order to process ship-specific performance data. However, for example, data representing approximate performance based on each ship type may be stored and processed. In addition, the individual vessel data is treated as fixed data here, but the performance may vary depending on the type of baggage, loading weight, etc., so depending on the case, part or all of the individual vessel data may be It may be possible to change it.

  Further, the threshold data storage means 33 stores threshold data input via the threshold input means 13. In the prediction data storage unit 34, as will be described later, the cost prediction data and the evacuation prediction data generated by the cost parameter generation unit 21 and the avoidance support parameter generation unit 22 (referred to as prediction data when these are combined) are stored. Remember.

  In the present embodiment, the optimum route calculation device 20 is composed of a cost parameter generation unit 21, an avoidance support parameter generation unit 22, and a route search unit 23. Here, each means of the optimum route calculation device 20 can be configured by different dedicated devices (hardware). Further, for example, one or a plurality of hardware is configured by a calculation control means (computer) centering on a CPU (Central Processing Unit), and the processing procedure performed by each means is programmed in advance and configured by software, firmware, or the like. It can also be left. At this time, the optimum route computation device 20 executes the program and performs processing based on the program, thereby realizing processing performed by each of the above-described means. Data related to these programs is stored in, for example, the storage device 30 or the like.

  The cost parameter generation unit 21 calculates data (cost prediction data) by calculating a predicted value of a parameter related to the edge cost. Examples of the types of costs to be calculated include fuel consumption, ship speed (navigation time), and the like. The cost parameter generation means 21 generates cost prediction data relating to one or a plurality of costs based on the individual ship data stored in the individual ship data storage means 32 and the sea weather data stored in the sea weather data storage means 31. The data is stored in the prediction data storage unit 34. Here, in this embodiment, it is assumed that cost prediction data is generated for all edges (between nodes) that can pass as a route.

  The evacuation support parameter generation means 22 also generates data (evacuation prediction data) obtained by, for example, calculating a predicted value of a parameter related to ship safety of the set edge based on individual ship data and sea weather data. Here, the avoidance prediction data is generated by calculating, for example, the probability of occurrence of seawater driving and the wave impact force. Further, for example, sea weather data may be directly used as evacuation prediction data for marine weather closely related to ship safety, such as wave height, wave period, wave direction, wind speed, and wind direction.

  Here, in the present embodiment, the cost parameter generation unit 21 and the evacuation support parameter generation unit 22 perform calculation and the like each time the sea weather data is changed to generate cost prediction data and evacuation prediction data. It shall be updated. Therefore, prediction data based on the latest sea weather data can be obtained.

  The route search unit 23 searches the route from the departure point to the destination point input from the instruction input unit 11 based on the cost prediction data and the evacuation prediction data stored in the prediction data storage unit 34 and performs the optimum route processing. Generate data. With respect to the search process, for example, based on the evacuation prediction data generated by the evacuation assistance parameter generation unit 22 and the threshold data stored in the threshold data storage unit 33, requirements relating to safety (for example, wind speed of 30 m / s or less) are set. Edges having evacuation prediction data in the range (area) to be satisfied are extracted. Then, based on the cost prediction data, for example, an edge (route) determined to be optimal in terms of cost, such as fuel consumption and navigation time, is searched from the extracted edge to generate optimal route data.

  Here, regarding the generation of the optimum route data of the route search means 23, the Dijkstra method is used as the optimum route search algorithm from the extracted edge. The Dijkstra method is a technique for assigning a weight to edges connecting nodes and searching for a minimum route by an operation based on the weight. In the present embodiment, for example, the predicted value calculated by the cost parameter generation means 21 for the cost such as fuel consumption and navigation time is weighted, and the route search means 23 performs route search based on the cost prediction data. Do.

  The display device 40 superimposes the route on, for example, a map (nautical chart) based on the optimum route data generated by the search processing of the route search means 23, and displays a route map for showing to the operator or the like. Although not particularly limited, various data such as prediction data, sea weather data, and threshold data generated by the cost parameter generation unit 21 and the avoidance support parameter generation unit 22 can be displayed as numerical values, graphs, and the like. It can also be displayed on a map. In addition, for comparison of routes, a great circle route (the shortest route when no disturbance is considered) may be displayed. The operator, referring to the calculation result of the route that satisfies the safety requirements shown on the display device 40, considers other requirements (operator's own experience, customer request, etc.) The optimum route can be determined. Here, the display by the display device 40 includes display on a screen, output to a printer, and the like.

  FIG. 2 is a diagram illustrating an example of a processing flow in the optimum route calculation device 20 according to the first embodiment. For example, when the sea weather data is input from the sea weather data input means 12 and stored in the sea weather data storage means 31, the cost parameter generation means 21 calculates a predicted value for a predetermined type of cost to estimate the cost. Data is generated and stored in the predicted data storage unit 34 (S1). For example, the predicted cost value is calculated based on a predetermined mathematical expression or the like when calculating the fuel consumption amount or the like.

  The evacuation assistance parameter generation means 22 calculates predicted values of parameters related to ship safety between nodes, generates evacuation prediction data, and stores them in the prediction data storage means 34 (S2). Here, when the avoidance support parameter generation unit 22 is configured separately from the cost parameter generation unit 21 as hardware, the avoidance prediction data generation process can be performed in parallel with the process of the cost parameter generation unit 21.

Therefore, examples of parameters relating to ship safety include the following. Of these parameters, for example, for (1) and (2), evacuation prediction data can be generated using sea weather data.
(1) Wave size (wave height, wave period, wave direction, etc.).
(2) Wind strength (wind speed, wind direction, etc.).
(3) Parameters related to seawater driving on the bow deck (magnitude of generated load, frequency of occurrence of seawater driving (occurrence probability (for example, once in 10)), etc.).
(4) Parameters relating to the wave impact force (the magnitude of the impact force, the frequency of occurrence of the wave impact (occurrence probability (for example, once in 100 times), etc.), etc.)
(5) Propeller (screw) exposure probability, etc.
(6) Parameters related to acceleration at a position where the hull is located (acceleration magnitude, probability of exceeding limit value, etc.).
(7) Parameters related to hull motion (various momentum, probability of exceeding limit value, etc.).

  The evasion assistance parameter generation means 22 generates evacuation prediction data based on one or more parameters. Here, the parameters to be prioritized basically differ depending on the type, shape, size, etc. of the ship. Moreover, it may differ depending not only on the ship but also on the load capacity and value of the luggage. In addition, it varies depending on the sea area. For this reason, the types of parameters for generating evacuation prediction data may be different for each ship and for each navigation, and are not particularly limited. In addition, from the viewpoint of reducing the amount of calculation, it is better to set parameters in advance. For example, the evacuation assistance parameter generation unit 22 generates all evacuation prediction data based on parameters that can be calculated, and the route search unit. 23 can also be defined by threshold data. In addition, for example, avoidance prediction data based on another parameter (phenomenon) that can be quantified with respect to ensuring safety may be generated without being limited to the parameters described above.

  The route search unit 23 extracts an edge having evacuation prediction data that satisfies the requirements related to safety, based on the evacuation prediction data generated by the evacuation support parameter generation unit 22 and the threshold data stored in the threshold data storage unit 33. (S3). Here, with regard to the threshold value, the allowable threshold value varies depending on the type, shape, size, etc. of the ship. The damage that a package is immersed in sea water varies greatly depending on the amount and value of the package soaked, so the threshold value also changes. It also depends on how risks are taken when planning a voyage. For example, if no threshold is set (no threshold data), evacuation prediction data (edge) having any prediction value can be extracted.

  The route search means 23 further searches for the edge from the departure point to the destination point input from the instruction input means 11 using the Dijkstra method based on the cost prediction data relating to the extracted edge, and obtains the optimum route data. Generate (S4). Then, the route based on the optimum route data is displayed on the display device 40 (S5). Here, the search processing after S3 in the route search unit 23 does not need to be performed immediately after the cost parameter generation unit 21 and the avoidance support parameter generation unit 22 generate the prediction data. It may be after an instruction to input a point or the like is given.

  As described above, according to the operation support apparatus of the first embodiment, the route search unit 23 is based on the avoidance prediction data generated by the avoidance support parameter generation unit 22 and the threshold data related to the input of the threshold input unit 13. Since the edge that satisfies the safety requirements is extracted and the optimum route from the departure point to the destination point is searched from the extracted edges, the route that satisfies the safety requirements is searched. It can be presented to the operator. Therefore, basically, the operator only needs to confirm the optimum route displayed on the display device 40. Even when the route is reviewed, it is only necessary to change the threshold data input to the threshold input means 13. Then, in order to avoid evacuation or the like, waste of time, labor, and the like can be prevented, such as redoing the search process for the optimum route while observing the calculation result. Further, by determining threshold data quantitatively as numerical values, safety-related judgments are made uniformly without being influenced by the operator or the like. In addition, it is possible to prevent an artificial error such as an oversight that may be caused by a person's judgment.

Embodiment 2. FIG.
FIG. 3 is a diagram illustrating another example of the flow of processing in the optimum route calculation device 20 according to the second embodiment of the present invention. In the above-described embodiment, after the cost parameter generation unit 21 and the avoidance support parameter generation unit 22 generate prediction data, the route search unit 23 performs processing to search for an optimal route. In the present embodiment, in order to reduce the amount of calculation of the entire apparatus, after extracting edges having evacuation prediction data that satisfies the safety requirements based on evacuation prediction data and threshold data, cost parameter generation means 21 is for generating cost prediction data at the extracted edge.

  In FIG. 3, the avoidance support parameter generation means 22 calculates a predicted value of a parameter related to ship safety between nodes, and generates avoidance prediction data (S11). The avoidance prediction data to be generated is the same as described in the first embodiment. The route search means 23 then selects an edge having evacuation prediction data that satisfies the safety requirements based on the evacuation prediction data generated by the evacuation assistance parameter generation means 22 and the threshold data stored in the threshold data storage means 33. Extract (S12).

  Next, the cost parameter generation means 21 generates cost prediction data for the edges extracted by the route search means 23 and stores them in the prediction data storage means 34 (S13). Then, based on the cost prediction data relating to the extracted edge, using the Dijkstra method, an edge from the departure point to the destination point input from the instruction input unit 11 is searched for to generate optimum route data (S14). The route based on the optimum route data is displayed on the display device 40 (S15).

  As described above, according to the operation support device of the second embodiment, the cost parameter generation unit for the edge extracted by the route search unit 23 based on the evacuation prediction data and the threshold data generated by the evacuation support parameter generation unit 22. 21 generates cost prediction data, so that the amount of calculation for the entire apparatus can be reduced. Therefore, if the edge having the evacuation prediction data that satisfies the safety requirements, such as the starting point, destination point, threshold value, etc., can be determined at an early stage, the processing time of the entire device is shortened. be able to.

Embodiment 3 FIG.
In Embodiment 1 described above, the threshold value can be input from the threshold value input means 13, but the present invention is not limited to this. For example, a plurality of predetermined threshold values can be selected for each parameter related to ship safety. And based on the input of the threshold value input means 13, you may make it make the selected threshold value threshold value data. Thus, by making it possible to select a predetermined threshold value, it is possible to reduce the threshold input burden on the operator or the like. Further, an input error with an abnormal threshold value can be eliminated.

Embodiment 4 FIG.
In the above-described first embodiment and the like, in the search processing performed by the route search means 23, the search by the Dijkstra method is performed. However, the search is not limited to this, and the search for the optimum route is performed using another optimum route search algorithm. It can also be done. For example, the search can be performed by using an A ^* (Aster) algorithm that is effective for a route search between two points. In the A ^* algorithm, nodes and paths between nodes are set, and the cost of each path (burden: equivalent to the weight in the Dijkstra method) is set. Then, the shortest path from the start node to the goal node is searched. Even when the A ^* algorithm is used as the optimum route search algorithm, the shortest route search can be performed in a short time as in the Dijkstra method.

Embodiment 5 FIG.
FIG. 4 is a diagram illustrating a configuration example of an operation support system according to Embodiment 5 of the present invention. In the system according to the present embodiment, each means constituting the navigation support apparatus described in the above-described embodiment is divided into a land-side system 100 and a ship-side system 200 according to processing functions and the like.

  The land-side system 100 includes a sea meteorological data input unit 12, an optimum route calculation device 20 (cost parameter generation unit 21, avoidance support parameter generation unit 22 and route search unit 23), and a storage device 30 (sea weather data storage unit 31, individual The ship data storage means 32, the threshold data storage means 33, the prediction data storage means 34), and the land side communication apparatus 50 are comprised. Here, the landside communication device 50 wirelessly transmits a signal including optimum route data and the like. In addition, a signal including various data required by the ship-side system 200 such as sea weather data is wirelessly transmitted. In addition, a signal transmitted from the ship side system 200 is received and input to the optimum route calculation device 20 as data.

  On the other hand, the ship side system 200 includes, for example, an instruction input unit 11, a threshold input unit 13, a display device 40, a ship side communication device 60, a data processing device 70, and a ship side storage device 80. The ship-side communication device 60 is paired with the land-side communication device 50, and transmits and receives signals including various data such as optimum route data.

  The data processing device 70 performs processing for causing the ship-side communication device 60 to transmit a signal including data input from the instruction input unit 11 and the threshold value input unit 13, for example. Further, the display device 40 displays the route information based on the optimum route data included in the signal received by the ship side communication device 60 together with the map data and the like stored in the ship side storage device 80. In addition, processing such as display based on sea weather data is performed. The ship-side storage device 80 stores data such as a map for the data processing device 70 to perform display processing. In some cases, data such as threshold data is also stored.

  Regarding the search process of the optimum route in the operation support system, the land-side communication device 50 and the ship-side communication device 60 perform communication between the land-side system 100 and the ship-side system 200 to transmit and receive signals related to data. The basic processing flow related to the optimum route search is the same as in the first and second embodiments.

  By configuring the operation support system as described above, processing that requires processing speed, such as prediction data generation processing, search processing, and transmission of marine weather data to the ship, is performed in the land-side system 100 in a short time. Can do. Further, in the ship side system 200, it is possible to confirm the optimum route based on the latest sea weather data even during navigation.

Embodiment 6 FIG.
In the above-described fifth embodiment, the route search means 23 is provided in the land-side system 100, but may be provided in the ship-side system 200, for example. In this case, prediction data necessary for route search is communicated. Further, actual measurement data relating to current sea weather data may be provided from the ship-side system 200.

DESCRIPTION OF SYMBOLS 11 Instruction input means 12 Sea weather data input means 13 Threshold value input means 20 Optimal route calculation device 21 Cost parameter generation means 22 Avoidance assist parameter generation means 23 Route search means 30 Storage device 31 Sea weather data storage means 32 Ship data storage means 33 Threshold data storage means 34 Predictive data storage means 40 Display device 50 Land side communication device 60 Ship side communication device 70 Data processing device 80 Ship side storage device 100 Land side system 200 Ship side system

Claims (7)

Intersections where the sea area from the starting point to the destination point is divided into arbitrary intervals in a grid pattern are set as multiple nodes, and the cost between the nodes is calculated based on the sea weather data and the individual ship data inherent to the ship. Cost parameter generation means for calculating a predicted value of the parameter and generating cost prediction data;
On the basis of the sea weather data and the individual ship data, evacuation data for generating evacuation prediction data based on at least one of the calculated predicted value or the sea weather data for one or more parameters related to ship safety between the nodes. Support parameter generation means;
A storage device for storing at least the cost prediction data and the evacuation prediction data;
Based on the avoidance prediction data stored in the storage device and threshold data indicating a threshold indicating an allowable limit for safe navigation, between the nodes satisfying the range indicated by the threshold data from the departure point to the destination point A navigation support apparatus, comprising: a route search unit that extracts a route and searches for an optimum route from the extracted route between the nodes to the destination based on the cost prediction data.   2. The operation according to claim 1, wherein the cost parameter generation unit generates the cost prediction data for a route between the nodes extracted by the route search unit based on the avoidance prediction data and the threshold data. Support device.   The navigation support apparatus according to claim 1, further comprising threshold input means for inputting or changing the threshold data to be processed by the route search means.   The operation support apparatus according to claim 1, further comprising a threshold value input unit capable of selecting the threshold value data to be processed by the route search unit from a plurality of predetermined threshold values.   Whether the route search means satisfies a range indicated by the threshold data based on the avoidance prediction data relating to the parameter for which the threshold data is set, among the avoidance prediction data generated by the avoidance support parameter generation means for a plurality of parameters The operation support apparatus according to claim 1, wherein a determination is made as to whether or not a route between the nodes is extracted.   6. The operation support apparatus according to claim 1, further comprising a display device that displays a route map based on the optimum route searched by the route search means. Intersections where the sea area from the starting point to the destination point is divided into arbitrary intervals in a grid pattern are set as multiple nodes, and the cost between the nodes is calculated based on the sea weather data and the individual ship data inherent to the ship. Cost parameter generation means for calculating a predicted value of the parameter and generating cost prediction data;
On the basis of the sea weather data and the individual ship data, evacuation data for generating evacuation prediction data based on at least one of the calculated predicted value or the sea weather data for one or more parameters related to ship safety between the nodes. Support parameter generation means,
A storage device for storing at least the cost prediction data and the evacuation prediction data;
Based on the avoidance prediction data stored in the storage device and threshold data indicating a threshold indicating an allowable limit for safe navigation, between the nodes satisfying the range indicated by the threshold data from the departure point to the destination point A route search means for extracting a route and searching for an optimum route from the route between the extracted nodes to the destination based on the cost prediction data; and
A land-side system having land-side communication means for wirelessly transmitting a signal including data related to the optimum route searched by the route search means;
Ship-side communication means for performing radio communication with the land-side communication means and receiving a signal including data relating to the optimum route,
Data processing means for processing data relating to the optimum route, and
An operation support system comprising: a ship side system having a display device for displaying a route map relating to the optimum route based on processing of the data processing means.

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