JP2022016833A - Cargo handling operation instruction support system - Google Patents

Abstract

To provide a cargo handling operation instruction support system that can making a storing plan capable of improving work efficiency without skillful know-how.SOLUTION: An cargo handling operation instruction support system has TOS 12 and AIPS 20, and the TOS 12 comprises a first database 14 in which at least container-related information is recorded. The AIPS 20 comprises a second database 22 in which at least container storing information of the container-related information is recorded and AI 24 which calculates a forecasted value of a carry-out day and time of an object container and an optimum storing position, and is characterized in updating the second database 22 according to the optimum storing position calculated by the AI 24 as temporary data, and reflecting container storing information in the first database 14, updated based upon the storing work carried out by feedback to the TOS 12, on container storing information in the second database 22.SELECTED DRAWING: Figure 1

Description

The present invention relates to a cargo handling work instruction support system that contributes to the formulation of a storage plan for improving cargo handling efficiency in a container terminal.

At the container terminal, from the viewpoint of controlling CO ₂ emissions by cargo handling machines, suppressing congestion in front of the gate by outpatient chassis, and reducing the burden on cargo handling machine operators, improving work efficiency and reducing waiting time for outpatient chassis. , Various applications have been filed.

For example, the applicant proposes a support system for improving the efficiency of loading and unloading of shipping cargo as disclosed in Patent Document 1. The technology disclosed in Patent Document 1 links the position information of the trailer (foreign chassis) that transports the container with the information of the terminal unit that controls the loading / unloading information of the container at the container terminal to carry out the loading of the container. The operator of the on-site crane is notified of the priority of the loading work that changes over time, and the loading work is executed accordingly. By using such a system, it is possible to improve the efficiency of container loading / unloading, shorten the waiting time of the outpatient chassis that transports the container by land, and suppress the occurrence of traffic congestion.

Japanese Unexamined Patent Publication No. 2014-223964

Certainly, if the above technology is used, the waiting time of the outpatient chassis can be reduced by improving the efficiency of cargo handling work. In addition, it is considered that the amount of CO ₂ emitted by the cargo handling machine can be reduced as compared with the conventional case.

However, at present, at the port cargo handling site, there is a shortage of workers due to the aging and shortage of workers, and there is also a shortage of skilled workers. , There are few controllers.

In addition, due to the increase in the size of container ships, the amount of work per ship has increased and the distribution services have become more fragmented, so it is no longer possible to derive the optimum solution using only the know-how of conventional planners and controllers. ing.

Furthermore, if an attempt is made to incorporate a knowledge information system that does not require expert know-how into a terminal operation system (TOS), system processing will be delayed, and the responsiveness of required processing such as database updates will be hindered. There is a risk of coming, or information from information systems outside the TOS cannot be obtained efficiently.

Therefore, in this application, it is possible to make a storage plan that can improve work efficiency by corresponding to the current cargo handling form without the need for a planner or controller with skilled know-how, and the responsiveness of TOS can be improved. The purpose is to provide a cargo handling work instruction support system that does not interfere.

The cargo handling work instruction support system according to the present invention for achieving the above object is a system that supports cargo handling work instructions in the container terminal when the container is exchanged between the ship and the container terminal and the outpatient chassis. It has a terminal operation system that manages the storage position of containers, the position and status of cargo handling machines in the container terminal, and an AI planning system that calculates the storage position of containers carried into the container terminal. The terminal operation system includes a first database in which at least container-related information is recorded, and the AI planning system includes a second database in which at least container storage information among the container-related information is recorded, and the container-related information. Based on a part of the above and the container storage information, the predicted value of the delivery date and time of the container carried into the container terminal and the number of containers stacked on the carried-in container are zero in the predicted value. Alternatively, the second database is updated with the AI for calculating the minimum storage position and the storage position of the loading container calculated by the AI as temporary data, and is fed back to the terminal operation system. Reflect the container storage information in the first database updated based on the storage work performed based on the feedback information in the container storage information in the second database, and use it as the basis for creating new temporary data. It is characterized by.

In addition, the container-related information in the cargo handling work instruction support system having the above characteristics includes at least container storage information, the shipping reservation date of each container, the shipper of each container, the cargo type of each container, and each container outside the terminal. The information recorded in association with the container number can be used for the land transportation company transporting by, the unloading reservation status of the containers loaded in the container yard, and the customs clearance status. By having such a feature, it is possible to facilitate the prediction of the carry-out date and time of the target container and the prediction of the container status based on the predicted value of the carry-out date and time. There are various cases such as when the reserved date for carrying out of each container is not entered, when it is entered immediately before carrying out, or when the input does not follow.

Further, in the cargo handling work instruction support system having the above-mentioned characteristics, the container-related information includes at least one or more of weather information, sea condition information, ship movement information, and road traffic information. It is desirable that the AI is configured to acquire a part of the container-related information from the external system of the container terminal. With such a configuration, it is possible to acquire a wide range of information that cannot be obtained only within the container terminal, and it is possible to obtain the predicted value of the container's carry-out date and time and the optimum information of the storage position from various viewpoints. It will be possible. Therefore, a highly accurate predicted value can be obtained.

Further, in the cargo handling work instruction support system having the above-mentioned characteristics, the update data in the first database is reflected in the second database only for the changed portion of the container storage information recorded in the first database. It is good to do so. With such a feature, AI can formulate a storage plan by utilizing the provisional data up to that point even after the change data by the first database is reflected in the second database.

Further, in the cargo handling work instruction support system having the above-mentioned characteristics, a simulator that simulates the result when the container handling process based on the storage position calculated by the AI is performed is attached, and the calculated loading container is provided. It is preferable to perform a process of sending the simulation result to the terminal operation system together with the storage position. Due to these characteristics, before the actual cargo handling work is performed, what kind of result is expected to be obtained when the storage position of the container obtained by the AI planning system is applied. It can be known visually and quantitatively. Therefore, even a less skilled worker can determine whether or not to adopt the result obtained by the AI planning system.

Further, in the cargo handling work instruction support system having the above-mentioned characteristics, it is desirable to have one AI planning system for the operation system provided in each of the plurality of container terminals. By having such a feature, it is possible to efficiently collect the information possessed by the external system and to increase the learning pattern of AI constituting the AI planning system. Therefore, it is possible to build a system that is resistant to changes in circumstances.

According to the cargo handling work instruction support system having the above-mentioned characteristics, it is possible to make a storage plan that can improve work efficiency without requiring a planner or a controller with skilled know-how. In addition, it is possible to handle the current cargo handling form in which the ship has become larger. Furthermore, AI does not impede the responsiveness of TOS.

It is a block diagram which shows the structure of the cargo handling work instruction support system which concerns on 1st Embodiment. It is a flow chart for demonstrating the flow of the storage plan making using the cargo handling work instruction support system which concerns on 1st Embodiment. It is a figure for demonstrating the difference between the actual work in a container terminal, the task situation of storage planning by AI, and the situation of data transfer. It is a figure for demonstrating the change of the storage position recorded in the 1st database and the 2nd database. It is a block diagram which shows the example of the case where the cargo handling work instruction support system which concerns on 2nd Embodiment is applied to a simulator. It is a figure which shows the example of the case where one AIPS is provided for a plurality of TOS.

Hereinafter, embodiments of the cargo handling work instruction support system of the present invention will be described in detail with reference to the drawings.
[First Embodiment: Configuration]
First, the cargo handling work instruction support system 10 according to the first embodiment will be described with reference to FIG. The cargo handling work instruction support system 10 according to the present embodiment is basically configured by combining a terminal operation system (hereinafter, simply referred to as TOS12) and an AI planning system (hereinafter, simply referred to as AIPS20).

The TOS 12 determines the acceptance / rejection of information from at least the first database 14, the subsystem group 16 for managing the cargo handling work of the container terminal while using the data of the first database 14, and the AIPS 20 described in detail later, and the information. It has a determination / input unit 17 for inputting and an interface 18. In the first database 14, various information in the container terminal, particularly information related to the container (hereinafter referred to as container-related information) is recorded in association with the container number.

The container-related information should include at least one or more of the following information. For example, container storage information in the container yard, shipping reservation date of each container, shipper of each container, cargo type of each container, land transportation company that transports each container outside the terminal, unloading of containers loaded in the container yard. Reservation status, customs clearance status, etc. The data that needs to be rewritten in this embodiment is exclusively container storage information (address, number of stages, etc. in which the container is stored).

The subsystem group 16 includes, for example, a ship planning system (hereinafter, simply referred to as VP16a), a yard planning system (hereinafter, simply referred to as YP16b), a yard operation system (hereinafter, simply referred to as YO16c), and an integrated gate system (hereinafter, simply referred to as YO16c). Hereinafter, it may be simply referred to as IGS16d). Here, the VP16a is a support system used when making a cargo handling plan for the ship. Further, the YP16b is a system for managing the storage coordinates in the container yard and supporting the planning work in the container yard. Further, the YO16c is a support system for managing the arrangement of container handling machines and giving work instructions to various workers (drivers). Further, the IGS16d is a system that plays a role of managing the entry / exit of an outpatient chassis or the like in a container terminal or a container yard.

Here, the VP16a and YP16b are systems used by the planner to make a storage plan before the cargo handling work starts, and the VP16a, YP16b, YO16c, and IGS16d are real-time by the controller according to the progress of the cargo handling work. It is a system used when modifying or adjusting the storage plan. By using such a system, it is possible to visually display and confirm numerical information (for example, an address when storing a container).

The determination / input unit 17 is an element for the planner or the controller to directly input the input information to the subsystem group 16, and is obtained by AI24 (AI: Artificial Intelligence) of AIPS20, which will be described in detail later. This is an element for determining whether or not to adopt the (calculated) optimum information (optimal storage plan) of the storage position as input information to the subsystem group 16. In the determination / input unit 17, the optimum information of the storage position obtained by the AI 24 is visually displayed on a display or the like, and an operator such as a planner or a controller confirms this. As a result of confirmation by the operator, if it is determined that the information may be adopted as the input information to the subsystem group 16, the information is input to the subsystem group 16. On the other hand, if it is determined that the information cannot be adopted as the input information, a process of requesting the optimum information of the new storage position from the AIPS 20 (for example, newly providing the latest container-related information) is adopted.

The interface 18 is an element that plays a role of an input / output mechanism for exchanging (inquiring) data with the AIPS 20, which will be described in detail later. By interposing the interface 18, even if the systems have different storage formats and conversion formats of data and files, it is possible to have compatibility in data transfer between the two systems. In the drawing, it is shown that the interface 18 is provided at a plurality of places, but this is pseudo because there are various forms such as a systematic one and a soft one as the form of the interface. It is shown as a target, and there is no difference from the case where it is shown by one element as an interface having various functions.

The AIPS 20 has at least a second database 22, an AI 24, and an interface 26. In the second database 22, in addition to various information for making the AIPS 20 function, at least the same data as the container storage information among the container-related information recorded in the first database 14 is recorded.

The second database 22 only receives information from the first database 14 and does not write data to the first database 14. As a result, the data of TOS12 used for cargo handling work can maintain high reliability and responsiveness as before.

The AI 24 is an element that plays a role in formulating an optimum storage plan that minimizes the number of loading operations in the container terminal. Specifically, a storage plan (optimal storage plan) that minimizes the number of loading operations is performed based on the information input via the interface 26 and the container storage information recorded in the second database 22. It will stand up. The container-related information may include any one or more of weather information, sea condition information, ship movement information, road traffic information, and other information. Such information may be obtained by connecting the external system 28 to the AI 24.

The program used when planning the storage plan is to calculate the predicted value of the unloading date and time of the container to be carried into the container yard, for example, the container unloaded from the ship, and the optimum information of the storage position based on this predicted value. Assumed to be performed.

The estimated value of the container unloading date and time is calculated, for example, the unloading reservation date of each container included in the container-related information, the shipper of each container, the cargo type of each container, the land transportation company that transports each container outside the terminal, and It may be done based on the container storage information recorded in the second database. In addition, the optimum information on the storage position is stacked on the target container at the time of the predicted value of the target container's delivery, based on the predicted value of the delivery date and time of the container, the status of the delivery reservation of other stacked containers, the customs clearance status, etc. It suffices to derive the storage position (optimum storage position) where the number of containers stored is zero or the minimum. The predicted value and the optimum information of the storage position obtained in this way can be obtained with high accuracy by supplementing the weather information, the sea condition information, the ship movement information, the road traffic information and the like.

The interface 26 is an element that plays a role of an input / output mechanism for exchanging data with and from the TOS 12 described above.

[Action]
Next, with reference to the flow shown in FIG. 2, the flow of calculating the storage position by the cargo handling work instruction support system 10 having the above configuration will be described. In the cargo handling work instruction support system 10 according to the present embodiment, first, a part of the container-related information is input from the TOS 12 to the AI 24 of the AISP 20 via the interfaces 18 and 26, and the AI 24 is input from the second database 22. Acquire container storage information. At this time, the AI 24 may also acquire various container-related information from the external system (step 10).

Based on the input information, the AI 24 obtains a predicted value of the delivery date and time of the target container, and also obtains the optimum information of the storage position in the predicted value (step 20). The calculated optimum information of the storage position is input to the TOS 12 via the interfaces 26 and 18. Further, the storage position calculated by AI 24 is also input to the second database 22 as temporary data, and is used for rewriting the container storage information recorded in the second database 22 (step 30).

The optimum information of the storage position input in the TOS 12 is input to the determination / input unit 17 via the interface 18. When the optimum information of the storage position is input to the determination / input unit 17, a worker such as a planner or a controller determines whether or not to adopt the information as input information to the subsystem group 16. It should be noted that the determination here is not based on the empirical value, but may be a determination as to whether or not the information is feasible.

The progress of cargo handling work at the container terminal will be affected by various situations. For this reason, the order of loading and unloading of containers may change urgently, or the container to be shipped may not be carried out. Workers such as planners and controllers need to input information via the determination / input unit 17 according to such a situation and determine the storage position of the container.

Therefore, there may be a discrepancy between the information recorded in the second database 22 and the actual container storage information (information recorded in the first database 14). Therefore, in the determination / input unit 17, a determination by an operator or the like is required (step 40).

The optimum information of the storage position adopted by the determination by the determination / input unit 17 is input to the subsystem group 16 and reflected in the instruction information to the cargo handling operator such as the transfer crane, and the cargo handling work is performed (step 50). .. When the cargo handling work is completed, the container storage information recorded in the first database 14 is updated based on the storage position information after the actual work (step 60).

After the container storage location information in the first database 14 is updated, the storage location information related to the update is sent to the AIPS 20 via the interfaces 18 and 26, and is reflected in the container storage location information in the second database 22. (Step 70).

Here, as shown in FIG. 3, there is a difference in the temporal task between the actual work in the container terminal and the planning of the storage plan by the simulation of AI24. FIG. 3 shows the task on the container terminal side, the task on the AI24 side, and the flow of information transmission in the case where the container A to the container E are sequentially unloaded from the ship, transported, and unloaded and placed in the storage position. It shows an example.

Specifically, the existing container storage state that is the basis for unloading the container A from the ship is the state of (1) (see FIG. 4). In AI24, the optimum storage plan is calculated before the unloading of the container A is completed on the container terminal side, and the instruction of the storage plan is transmitted to the TOS 12. On the container terminal side, when the unloading of the container A is completed, the unloading of the container B is started. At this time, the container A is in a state of being transported by the premises chassis in the terminal. On the other hand, the AI 24 formulates an optimum storage plan for the container B based on the storage state (2) (see FIG. 4), which is temporary data recorded in the second database 22.

Similarly, the optimum storage plan for container C and container D is formulated based on the storage states (3) and (4) (see FIG. 4), which are virtual data. After that, when the storage work of the container A is completed in the container terminal, the first database 14 is updated as the storage state (5) (see FIG. 4) which is the actual storage state. Then, this update data is transmitted to the AIPS 20, and the update data portion of the first database 14 is reflected in the second database 22. As a result, the optimal storage plan for the container E is formulated based on the storage state (6) (see FIG. 4) in which the virtual data and the updated data are combined.

As described above, according to the cargo handling work instruction support system 10 according to the present embodiment, the AI 24 does not interfere with the recorded information of the first database 14, and the first database 14 is the data (execution data) after the storage work is executed. ) Only updates are made. Therefore, the arithmetic processing and the data update by the AI 24 do not hinder the responsiveness at the time of updating the first database 14 in the TOS 12. Moreover, the performance improvement of AI24 does not affect the TOS12 side.

[effect]
According to the cargo handling work instruction support system 10 according to the above embodiment, by introducing AI 24 into the storage plan, it is possible to make a storage plan without the know-how of a skilled worker. This makes it possible for even unskilled workers to make an efficient storage plan. In addition, by formulating an efficient storage plan, the operation of the cargo handling machine can be minimized and the environmental burden can be reduced. Furthermore, it will be possible to handle even larger container ships.

Further, in the cargo handling work instruction support system 10 according to the above embodiment, the first database 14 and the second database 22 are arranged in the TOS 12 and the AIPS 20, respectively, and the AI 24 does not interfere with the recorded information of the first database 14, and the second database is used. 1 The database 14 is configured so that only the update based on the execution data by the input from the subsystem is performed. Therefore, the arithmetic processing and data update by AI24 do not impair the responsiveness of the TOS 12 and the reliability of the data. Moreover, the performance improvement of AI24 does not affect the TOS12 side.

Further, in the cargo handling work instruction support system 10 according to the above embodiment, the TOS 12 and the AIPS 20 are operated as independent systems. Therefore, it is possible to easily and efficiently improve and update each system. Further, by exchanging data via the interfaces 18 and 26, it is less necessary to consider the compatibility between the TOS 12 and the AIPS 20, and the degree of freedom when introducing each system is increased.

Further, the cargo handling work instruction support system 10 according to the embodiment can be configured without changing the configuration of the TOS 12 itself or the flow of information processing. Therefore, even at ports in various places, it can be easily and inexpensively deployed only by preparing the second database 22, AI 24, and interface 26 constituting the AIPS 20.

In the above embodiment, the information given by the TOS 12 to the AIPS 20 is a part of the container-related information, but the information related to the storage plan created by the planner using VP16a or YP16b may be input.

[Second Embodiment: Configuration]
Next, the cargo handling work instruction support system 10A according to the second embodiment will be described with reference to FIG. Most of the configurations of the cargo handling work instruction support system 10A according to the present embodiment are the same as those of the cargo handling work instruction support system 10 according to the first embodiment described above. Therefore, for the parts having the same function, the same reference numerals are given to the drawings and detailed description thereof will be omitted.

The difference between the cargo handling work instruction support system 10A according to the present embodiment and the cargo handling work instruction support system 10 according to the first embodiment is the presence or absence of the simulator 30 in the TOS 12. The simulator 30 according to the present embodiment is for simulating the movement and storage status of the container in the container terminal and the movement of the cargo handling equipment within a predetermined period based on the optimum information of the storage position fed back from the AIPS 20. It is an element. Therefore, the TOS 12 is provided with a database (third database 32) for recording the storage status of the container simulated by the simulator 30.

In the simulation, there is no intervention of workers such as planners and controllers. Therefore, since the storage position is not irregular, it is not necessary to reflect the information recorded in the third database to the second database 22. Further, in the example shown in FIG. 5, since it is assumed that the first database 14 and the third database 32 are constructed on physically different recording media, an interface 18 is provided between them. When constructing two databases on a common recording medium, it is not necessary to provide the interface 18.

[Action]
In the cargo handling work instruction support system 10A having such characteristics, in addition to the functions of the cargo handling work instruction support system 10 which is indispensable in the first embodiment, the cargo handling work instruction support system 10A is carried into the container terminal by a predetermined time (for example, 3 hours later). By acquiring the optimum information on the storage position for each container via the interface 18, the container loading / unloading status and cargo handling status up to a predetermined time are simulated, and the result, or the container storage status in the virtual terminal, etc. The cargo handling status is input to the determination / input unit 17.

When the simulation result or the like is input to the determination / input unit 17, a worker such as a planner or a controller takes into consideration the optimum information of the storage position fed back from the AIPS 20 and the simulation result and the like, and the storage is obtained by AI24. Determine whether to adopt the optimum position information.

[effect]
As described above, according to the cargo handling work instruction support system 10A according to the present embodiment, how the container is loaded and what kind of result is brought about when the optimum information of the storage position obtained by AI24 is adopted. Can be visually and quantitatively recognized. Therefore, even when the skill level of the operator who makes the determination in the determination / input unit 17 is low, the determination can be easily made. The other actions and effects are the same as those of the cargo handling work instruction support system 10 according to the first embodiment.

In the above embodiment, the cargo handling work support support systems 10 and 10A are described as being provided with the corresponding AIPS 20 for the TOS 12 for managing a specific container terminal. However, as shown in FIG. 6, the cargo handling work instruction support system 10 (10A) according to the present embodiment manages a plurality of container terminals (three container terminals in the example shown in FIG. 6), respectively (see FIG. 6). In the example shown, one AIPS 20 may be provided for A terminal TOS12A, B terminal TOS12B, and C terminal TOS12C).

When configuring the cargo handling work support support system 10 having such a configuration, the AIPS 20 is provided with a first database (first database 14A, first database) provided in each TOS (A terminal TOS12A, B terminal TOS12B, C terminal TOS12C). A second database (second database 22A, second database 22B, second database 22C) corresponding to each of 14B and the first database 14C) will be provided. By dividing the database for each terminal in this way, information on each terminal will not be leaked.

Further, according to the cargo handling work support support system 10 having such a configuration, the AI 24 can learn the cargo handling situation in a plurality of container terminals. Therefore, even if there is a change in the shipping company that transports the container, the land carrier, or other conditions, and the container terminal where the container is handled changes, the predicted value of the delivery date and time of the target container can be obtained accurately. , It is possible to obtain the optimum information of the storage position in the predicted value. In addition, information collection from an external system can be simplified.

10 ………… Cargo handling work instruction support system, 12 ………… TOS, 12A ………… A terminal TOS, 12B ………… B terminal TOS, 12C ………… C terminal TOS, 14, 14A, 14B, 14C ………… 1st database, 16 ……… subsystem group, 16a ……… VP, 16b ……… YP, 16c ……… YO, 16d ……… IGS, 17 ……… judgment / input unit, 18 ……… interface , 20 ……… AIPS, 22, 22A, 22B, 22C ……… Second database, 24 ……… AI, 26 ……… Interface, 28 ……… External system, 30 ……… Simulator, 32 ……… Third database.

Claims (6)

It is a system that supports cargo handling work instructions in the container terminal when transferring containers between the ship, the container terminal, and the outpatient chassis.
It has a terminal operation system that manages the storage position of containers in the container terminal, and an AI planning system that calculates the storage position of containers carried into the container terminal.
The terminal operating system includes at least a first database that records container-related information.
The AI planning system includes a second database in which at least container storage information is recorded among the container-related information.
Based on a part of the container-related information and the container storage information, the predicted value of the delivery date and time of the container carried into the container terminal and the predicted value of the container stacked on the carried-in container. It is equipped with an AI that calculates the storage position where the number is zero or the minimum.
The second database was updated using the storage position of the carry-in container calculated by the AI as temporary data, and was fed back to the terminal operation system, and was updated based on the storage work performed based on the feedback information. A cargo handling work instruction support system characterized in that the container storage information in the first database is reflected in the container storage information in the second database and used as the basis for creating new temporary data. The container-related information includes at least container storage information, the shipping reservation date of each container, the shipper of each container, the cargo type of each container, the land transportation company that transports each container outside the terminal, and the containers loaded in the container yard. The cargo handling work instruction support system according to claim 1, wherein the information is recorded in association with the container number regarding the carry-out reservation status and the customs clearance status. The container-related information includes at least one or more of weather information, sea condition information, ship movement information, and road traffic information.
The cargo handling work instruction support system according to claim 1 or 2, wherein the AI is configured to acquire a part of the container-related information from an external system of the container terminal. According to any one of claims 1 to 3, the update data in the first database is reflected in the second database only for the changed portion of the container storage information recorded in the first database. Described cargo handling work instruction support system. A simulator that simulates the result of performing container cargo handling processing based on the storage position calculated by the AI is attached.
The cargo handling work instruction support system according to any one of claims 1 to 4, wherein a process of sending a simulation result to the terminal operation system together with the calculated storage position of the delivery container is performed. The cargo handling work instruction support system according to any one of claims 1 to 5, wherein one AI planning system is provided for the operation system provided in each of the plurality of container terminals.

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