A container intelligent management method based on EIR

Abstract

The present invention provides an EIR-based container intelligent management method, which relates to the technical field of container management. The method comprises: obtaining identification information, status information and handover information of a container through EIR, and collecting an appearance image of the container through an image acquisition device; judging whether the container is an abnormal container according to the appearance image, identification information and status information; determining the import and export type of the container according to the handover information; classifying and stacking the containers according to the import and export type, status information and identification information; determining a transportation plan according to the container size and transportation tool information during the management cycle; and transporting the containers according to the transportation plan. According to the present invention, whether a container is an abnormal container can be judged according to EIR, and the containers can be classified and stacked, and a transportation plan can be arranged, thereby improving the effectiveness and accuracy of container management.

Description

Technical Field

[0001] The present invention relates to the technical field of container management, and in particular to an EIR-based intelligent container management method. Background Art

[0002] In the related technology, CN115049322A discloses a container yard management method and system for containers, which belongs to the field of intelligent security port technology. The method includes: obtaining the first data of the lifting equipment, determining the first position information of the container according to the first data; determining the first camera according to the first position information, and obtaining the second data of the container according to the first image data taken by the first camera; wherein the second data includes the position data and the container number data of the container; and the second data is integrated and displayed with the GIS map. This scheme preliminarily determines the approximate location where the container is placed by tracking the working data of the lifting equipment, and then retrieves the image data taken by the first camera nearby to determine the specific location data and the container number data of the container, and then projects the location of the container into the GIS map to realize the real-time display of the container status data, which is beneficial to the management of the container by the staff.

[0003] CN117057512A discloses a container management method, device, storage medium and electronic device, which relates to the field of container management technology. The management method includes: obtaining ship information; generating a first model of the ship according to the ship information; obtaining ship deck information, drawing the deck of the first model according to the deck information, and generating a ship model; determining the size information of multiple containers, and generating multiple container models according to the size information; determining the placement positions of multiple container models, and placing the multiple container models; obtaining the marking information of each container; marking the marking information of each container on the corresponding container model. By establishing a model, the ship entity is matched with the ship model, and the container entity is matched with the container model, and the placement position of the container is accurately managed through the model.

[0004] Based on the above related technologies, the placement of containers can be accurately managed. However, the related technologies do not manage containers based on the status data of the containers. That is, in the process of container management, the related technologies do not judge whether the containers are abnormal containers based on the status data of the containers, classify and stack the containers, and arrange transportation plans for the containers.

[0005] The information disclosed in the background technology section of this application is only intended to deepen the understanding of the general background technology of this application, and should not be regarded as an admission or any form of suggestion that the information constitutes the prior art already known to those skilled in the art. Summary of the invention

[0006] The present invention provides an EIR-based container intelligent management method, which can solve the technical problems that the related technology cannot judge whether a container is an abnormal container based on the status data of the container, classify and stack the containers, and arrange transportation plans for the containers.

[0007] According to a first aspect of the present invention, there is provided a container intelligent management method based on EIR, comprising:

[0008] Obtain identification information, status information and handover information of the container through the EIR, wherein the identification information includes: container number, container size and container type, the status information includes: damage information, and the handover information includes: transportation tool information, handover time and handover location;

[0009] Using image acquisition equipment to collect appearance images of the container;

[0010] determining whether the container is an abnormal container according to the appearance image, the identification information and the status information;

[0011] Determine the import and export type of the container according to the handover information;

[0012] Classify and stack containers according to the import and export type, the status information and the identification information;

[0013] In the management cycle, a transportation plan is determined according to the container size and the transportation tool information;

[0014] The container is transported according to the transport plan.

[0015] According to a second aspect of the present invention, there is provided an EIR-based container intelligent management system, comprising:

[0016] The container information collection module is used to obtain the identification information, status information and handover information of the container through the EIR, wherein the identification information includes: container number, container size and container type, the status information includes: damage information, and the handover information includes: transportation tool information, handover time and handover location;

[0017] An image acquisition module, used to acquire an appearance image of the container through an image acquisition device;

[0018] A judgment module, judging whether the container is an abnormal container according to the appearance image, the identification information and the status information;

[0019] An import and export module, used to determine the import and export type of the container according to the handover information;

[0020] A classification module, used for classifying and stacking containers according to the import and export type, the status information and the identification information;

[0021] A transport planning module, used to determine a transport plan according to the container size and the transport tool information during a management cycle;

[0022] The transport module is used to transport the container according to the transport plan.

[0023] Technical effect: According to the present invention, the identification information, status information and handover information of the container can be accurately obtained according to the EIR. Further, based on the identification information, status information and handover information of the container, it is determined whether the container is an abnormal container, and the container is classified and stacked, and the transportation plan is arranged, thereby improving the effectiveness and accuracy of container management. When determining the first discrimination parameter, the first discrimination parameter can be determined according to the ship arrival time, the handover time, the handover location information vector, the known destination port vector, the known inland yard vector, the known departure port vector and the known export yard vector. In the calculation process, the relationship between the container handover time and the ship arrival time and the type of the handover location are fully considered, thereby improving the judgment accuracy of the container import and export type. When determining the priority transportation parameter, the priority transportation parameter can be determined according to the handover time, the ship departure time, the ship departure location and location information. In the calculation process, the time when the container waits for transportation in the yard, the time when the container can be used for transportation and the transportation distance of the container are fully considered, thereby improving the rationality of container transportation. When determining the matching parameters, the matching parameters can be determined based on the real-time transport vehicle information and the container size. During the calculation process, the working condition, carrying capacity and location of the transport vehicle are fully considered, thereby improving the rationality and accuracy of the transport vehicle selection.

[0024] It should be understood that the above general description and the following detailed description are exemplary and explanatory only and do not limit the present invention. Other features and aspects of the present invention will become more apparent from the following detailed description of exemplary embodiments with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other embodiments can be obtained based on these drawings without creative work.

[0026] Figure 1 A schematic diagram of a process flow of an EIR-based intelligent container management method according to an embodiment of the present invention is exemplarily shown;

[0027] Figure 2 A block diagram of an EIR-based intelligent container management system according to an embodiment of the present invention is exemplarily shown. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0029] The technical solution of the present invention is described in detail with specific embodiments below. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0030] Figure 1 A schematic diagram of a process of an EIR-based intelligent container management method according to an embodiment of the present invention is exemplarily shown, wherein the method comprises:

[0031] Step S101, obtaining identification information, status information and handover information of a container through an EIR, wherein the identification information includes: container number, container size and container type, the status information includes: damage information, and the handover information includes: transportation tool information, handover time and handover location;

[0032] Step S102, collecting an appearance image of the container by using an image acquisition device;

[0033] Step S103, judging whether the container is an abnormal container according to the appearance image, the identification information and the status information;

[0034] Step S104, determining the import and export type of the container according to the handover information;

[0035] Step S105, classifying and stacking containers according to the import and export type, the status information and the identification information;

[0036] Step S106, in the management cycle, determining a transportation plan according to the container size and the transportation tool information;

[0037] Step S107: transporting the container according to the transportation plan.

[0038] According to the EIR-based intelligent container management method of the embodiment of the present invention, the identification information, status information and handover information of the container can be accurately obtained according to the EIR. Furthermore, based on the identification information, status information and handover information of the container, it is determined whether the container is an abnormal container, and the containers are classified and stacked, and transportation plans are arranged, thereby improving the effectiveness and accuracy of container management.

[0039] According to one embodiment of the present invention, in step S101, identification information, status information and handover information of the container are obtained through EIR, wherein the identification information includes: container number, container size and container type, the status information includes: damage information, and the handover information includes: transportation tool information, handover time and handover location.

[0040] For example, EIR (Equipment Interchange Receipt) contains the identification information, status information, and handover information of the container. The container number in the identification information refers to the number that uniquely represents the container. The damage information in the status information indicates the damage and deformation of the container during the handover. The means of transport information in the handover information includes the ship name and voyage number. The ship name and voyage number indicate which ship and voyage the container will be loaded or unloaded from.

[0041] According to an embodiment of the present invention, in step S102, an appearance image of a container is captured by an image capture device.

[0042] For example, when a container enters the yard, cameras at multiple angles are used to capture images of the container's appearance.

[0043] According to an embodiment of the present invention, in step S103, it is determined whether the container is an abnormal container based on the appearance image, the identification information and the status information.

[0044] According to one embodiment of the present invention, step S103 includes:

[0045] In the appearance image, identifying the actual container number of the container by using an image detection model;

[0046] In the appearance image, identifying the actual container size of the container by an image detection model;

[0047] In the appearance image, identifying the actual container type of the container by an image detection model;

[0048] In the appearance image, identifying whether the container is damaged by using an image detection model, and determining actual damage information;

[0049] Determine a container number recognition result according to the actual container number and the container number;

[0050] Determining a container size recognition result according to the actual container size and the container size;

[0051] Determining a container type recognition result according to the actual container type and the container type;

[0052] Determining an actual damage information identification result according to the actual damage information and the damage information;

[0053] Determining a container information matching score according to the container number recognition result, the container size recognition result, the container type recognition result, and the actual damage information recognition result;

[0054] According to the container information matching score, it is determined whether the container is an abnormal container.

[0055] For example, the actual container number is compared with the container number. If they are the same, the container number recognition result is 1; if they are different, the container number recognition result is 0; the actual container size is compared with the container size. If they are the same, the container size recognition result is 1; if they are different, the container size recognition result is 0; the actual container type is compared with the container type. If they are the same, the container type recognition result is 1; if they are different, the container type recognition result is 0; the actual damage information is compared with the damage information. If they are the same, the actual damage information recognition result is 1; if they are different, the actual damage information recognition result is 0; the container number recognition result, the container size recognition result, the container type recognition result and the actual damage information recognition result are summed to determine the container information matching score.

[0056] According to an embodiment of the present invention, judging whether a container is an abnormal container according to the container information matching score includes:

[0057] Containers with a container information matching score less than 4 are identified as abnormal containers;

[0058] Re-verify the identification information and status information of the abnormal container.

[0059] For example, when the container information matching score of a container is less than 4, it means that the actual container number, actual container size, actual container type and actual damage information of the container do not match the packing number, container size, container type and damage information recorded in the EIR, and the container is determined to be an abnormal container; the staff is notified to re-verify the identification information and status information of the abnormal container.

[0060] According to an embodiment of the present invention, in step S104, the import / export type of the container is determined according to the handover information.

[0061] According to one embodiment of the present invention, step S104 includes:

[0062] Determine the arrival time of the ship according to the transportation tool information;

[0063] According to the handover location, determining the handover location code;

[0064] Determining a handover location information vector according to the handover location code;

[0065] Determine the known destination port, known inland storage yard, known port of departure and known export storage yard;

[0066] Determine a known port of destination code, a known inland yard code, a known port of departure code, and a known export yard code according to the known port of destination, the known inland yard, the known port of departure, and the known export yard;

[0067] Determine a known port of destination vector, a known inland yard vector, a known port of departure vector, and a known export yard vector according to the known port of destination code, the known inland yard code, the known port of departure code, and the known export yard code;

[0068] Determine a first discrimination parameter according to the ship arrival time, the handover time, the handover location information vector, the known destination port vector, the known inland yard vector, the known departure port vector and the known export yard vector;

[0069] According to the EIR, obtain the transfer box identification result;

[0070] The import / export type of the container is determined according to the first discrimination parameter and the transfer box identification result.

[0071] For example, according to the information of the means of transport, the ship name and voyage number are determined, and the arrival time of the ship is queried according to the ship name and voyage number; according to the handover location, the handover location code is queried, and according to the handover location code, the handover location information vector is determined; the known destination port, the known inland yard, the known departure port and the known export yard are queried, and the known destination port code, the known inland yard code, the known departure port code and the known export yard code are determined, and according to the above codes, the known destination port vector, the known inland yard vector, the known departure port vector and the known export yard vector are determined, for example, each digit of the code is used as an element of the vector, so as to obtain the above vector; according to the ship arrival time, the handover time, the handover location information vector, The destination port vector, the inland yard vector, the departure port vector and the export yard vector are known, and the first discrimination parameter is determined; when the container is marked as a transshipment box in the EIR, the transshipment box identification result of the container is 1, and there is no need to determine the first discrimination parameter of the container, and the container is classified into the transshipment box for storage; when the container is not marked as a transshipment box in the EIR, the transshipment box identification result of the container is 0, and the first discrimination parameter of the container is determined; when the first discrimination parameter is 2, the container is an import box; when the first discrimination parameter is 1, the container is an export box; when the first discrimination parameter is 0, the container is a transshipment box, and the containers are classified and stacked according to the import and export types.

[0072] According to one embodiment of the present invention, the first discrimination parameter is determined according to the ship arrival time, the handover time, the handover location information vector, the known destination port vector, the known inland yard vector, the known departure port vector and the known export yard vector, including: determining the first discrimination parameter of the kth container according to formula (1): ,

[0073] (1)

[0074] Among them, if is the conditional function, max is the maximum value function, is the handover time of the kth container, is the arrival time of the ship of the kth container, is the preset time threshold, is the handover location information vector of the kth container, is the known destination port vector of the i-th known destination port, is the known inland yard vector of the jth known inland yard, is the known port of departure vector of the a-th known port of departure, is the known export yard vector of the rth known export yard, for The transposed vector of , n is the number of known destination ports, m is the number of known inland storage yards, A is the number of known departure ports, R is the number of known export storage yards, i≤n, j≤m, a≤A, r≤R, i, n, j, m, a, A, r and R are all positive integers.

[0075] According to one embodiment of the present invention, It means that the delivery time of the k-th container is after the ship carrying the k-th container arrives at the port. is the cosine similarity between the information vector of the delivery location of the kth container and the known destination port vector of the i-th known destination port. When the cosine similarity is equal to 1, it means that the delivery location of the kth container belongs to the known destination port. It means taking the maximum value of the cosine similarity between the handover location information vector of the k-th container and the known destination port vectors of n known destination ports. The above maximum value process can be used to determine whether the handover location of the k-th container belongs to a known destination port. Indicates that the delivery location of the kth container belongs to a known destination port, is the cosine similarity between the information vector of the delivery location of the kth container and the known inland yard vector of the jth known inland yard. When the cosine similarity is equal to 1, it means that the delivery location of the kth container belongs to the known inland yard. Indicates that the delivery location of the kth container belongs to a known inland yard, It means that the delivery time of the k-th container is before the ship carrying the k-th container arrives at the port. is the cosine similarity between the handover location information vector of the kth container and the known port of departure vector of the ath known port of departure, indicates that the delivery location of the kth container belongs to a known port of departure, is the cosine similarity between the handover location information vector of the kth container and the known export yard vector of the rth known export yard, Indicates that the handover location of the kth container belongs to the known export yard.

[0076] According to one embodiment of the present invention, in formula (1), the following two situations can be expressed in the form of conditional functions: When the condition is met, the handover time of the kth container is after the ship carrying the kth container arrives at the port and the handover location of the kth container belongs to a known inland yard or destination port. When the handover location is the destination port or inland yard, and the handover time is after the ship arrives at the port, it means that the container has completed the process of transportation from foreign countries to domestic transportation. The container is handed over after the ship arrives and completes unloading. The container is an imported container, and the value of the condition function is 2. When it is not met When the condition is

[0077] According to one embodiment of the present invention, in formula (1), the following two situations can be expressed in the form of conditional functions: When the condition is that the handover time of the kth container is before the ship carrying the kth container arrives at the port and the handover location of the kth container belongs to a known export yard or departure port, it means that the container is an export container. The conditional function The value is 1, when it does not meet When the condition is The value of is 0.

[0078] In this way, the first discrimination parameter can be determined according to the ship arrival time, handover time, handover location information vector, known destination port vector, known inland yard vector, known departure port vector and known export yard vector. In the calculation process, the relationship between the container handover time and the ship arrival time and the type of handover location are fully considered, thereby improving the accuracy of judging the import and export types of containers.

[0079] According to an embodiment of the present invention, in step S105, the containers are classified and stacked according to the import and export types, the status information and the identification information.

[0080] For example, first, containers are classified and stacked according to export containers, import containers and transit containers to improve container management efficiency. Secondly, in the export container stacking area, import container stacking area and transit container stacking area, containers are further classified and stacked according to their size, type and whether they are damaged.

[0081] According to an embodiment of the present invention, in step S106, in the management cycle, a transportation plan is determined according to the container size and the transportation tool information.

[0082] According to one embodiment of the present invention, step S016 includes:

[0083] Determine the departure time and location of the ship based on the transportation information;

[0084] Get the location information of the container;

[0085] Determining a priority transport container according to the handover time, the ship departure time, the ship departure location and the location information;

[0086] Acquire real-time transport vehicle information, wherein the real-time transport vehicle information includes: transport vehicle size, vehicle idle information, vehicle location information and driver working time information;

[0087] A transport vehicle is determined according to the real-time transport vehicle information and the container size.

[0088] For example, the departure time and location of the ship can be queried based on the ship name and voyage number; the location information of the container can be obtained through the sensors installed on the container; the urgency of container transportation can be evaluated based on the handover time, ship departure time and ship departure location, and the priority containers can be determined; the location information of the transport vehicle can be obtained through the sensors installed on the transport vehicle, and the transport vehicle size, vehicle idle information and driver working hours can be determined through the vehicle management platform.

[0089] According to one embodiment of the present invention, determining the priority transport container according to the handover time, the ship departure time, the ship departure location and the location information includes: determining the priority transport parameter of the kth container at the i-th moment of the management period according to formula (2): ,

[0090] (2)

[0091] in, and is the preset weight, where is the i-th moment of the management cycle, is the handover time of the kth container, is the departure time of the ship transporting the kth container, is the ship departure point of the ship transporting the kth container, is the location information of the kth container, K is the number of containers, k≤K, k and K are both positive integers.

[0092] According to one embodiment of the present invention, The time of the kth container waiting for transportation in the yard is the i-th moment of the management cycle minus the handover time of the kth container. The time when the kth container is available for transportation is the time when the kth container is available for transportation, which is the departure time of the ship transporting the kth container minus the i-th time of the management cycle. It is the ratio of the time that the kth container waits for transportation in the yard to the time that the kth container can be used for transportation. The longer the kth container waits for transportation in the yard, the shorter the time that the kth container can be used for transportation. The larger the above ratio is, the larger the priority transportation parameter of the kth container is. represents the distance from the kth container to the departure point of the ship that transports the container, represents the average distance from K containers to the departure point of the ship that transports the containers, The relative difference between the distance from the kth container to the departure point of the ship transporting the container and the average value of the distance from the K containers to the departure point of the ship transporting the container. The larger the ratio, the farther the distance from the kth container to the departure point of the ship transporting the container is, and the higher the priority transportation parameter of the kth container is. The priority transportation parameters of the K containers are arranged in descending order to determine the priority transportation sequence. At the i-th moment of the management cycle, vehicle transportation is arranged for the container according to the priority transportation sequence.

[0093] In this way, priority transport parameters can be determined based on the handover time, ship departure time, ship departure location and position information. During the calculation process, the time the container waits for transportation in the yard, the time the container is available for transportation, and the transportation distance of the container are fully considered, which improves the rationality of container transportation.

[0094] According to an embodiment of the present invention, determining the transport vehicle according to the real-time transport vehicle information and the container size includes: determining the matching parameter between the b-th transport vehicle and the k-th container according to formula (3): ,

[0095] (3)

[0096] Among them, if is a conditional function, is the vehicle idle information of the b-th transport vehicle, The working hours information of the driver of the b-th transport vehicle, is the preset working time threshold. is the vehicle location information of the b-th transport vehicle, is the transport vehicle size of the b-th transport vehicle, is the container size of the kth container, is the location information of the kth container, ; Determine the maximum value of the matching parameters between each transport vehicle and the k-th container, and determine the transport vehicle corresponding to the maximum value of the matching parameters as the transport vehicle for transporting the k-th container.

[0097] According to one embodiment of the present invention, in formula (3), the following two situations can be expressed in the form of conditional functions: When the condition is true, the bth vehicle is idle and the driver of the bth transport vehicle has worked for less than the preset working time threshold, indicating that the bth transport vehicle can be used for transportation. The condition function The value is 1, when it does not meet When the condition is met, the bth vehicle is in transport or the driver of the bth transport vehicle has worked for a time greater than or equal to the preset working time threshold, indicating that the bth transport vehicle is not available for transport. The condition function The value of is 0.

[0098] According to one embodiment of the present invention, in formula (3), the following two situations can be expressed in the form of conditional functions: When the condition is met, the transport vehicle size of the b-th transport vehicle is smaller than the container size of the k-th container, indicating that the carrying capacity of the b-th transport vehicle is insufficient to transport the k-th container. The conditional function The value is 0, when it does not meet When the condition is true, it means that the carrying capacity of the b-th transport vehicle is sufficient to transport the k-th container. The conditional function The value of , is the relative difference between the transport vehicle size of the b-th transport vehicle and the container size of the k-th container. The larger the ratio is, the greater the difference between the transport vehicle size of the b-th transport vehicle and the container size of the k-th container is. Using the b-th transport vehicle to transport the k-th container will cause a waste of transportation resources, and the smaller the matching parameter between the b-th transport vehicle and the k-th container is.

[0099] According to one embodiment of the present invention, represents the distance between the b-th transport vehicle and the k-th container. The closer the b-th transport vehicle is to the k-th container, the greater the matching parameter between the b-th transport vehicle and the k-th container. The matching parameter between the b-th vehicle and the k-th container can be determined according to the working condition of the b-th vehicle, the carrying capacity of the b-th vehicle and the position of the b-th vehicle. The maximum value of the matching parameters between each transport vehicle and the k-th container can be determined in the above manner, and the transport vehicle corresponding to the maximum value of the matching parameters is determined as the transport vehicle for transporting the k-th container.

[0100] In this way, matching parameters can be determined based on real-time transport vehicle information and the container size. During the calculation process, the working condition, carrying capacity and location of the transport vehicle are fully considered, thereby improving the rationality and accuracy of transport vehicle selection.

[0101] According to an embodiment of the present invention, in step S107, the container is transported according to the transportation plan.

[0102] According to the container intelligent management method based on EIR of the embodiment of the present invention, the identification information, status information and handover information of the container can be accurately obtained according to the EIR. Further, based on the identification information, status information and handover information of the container, it is judged whether the container is an abnormal container, and the container is classified and stacked and the transportation plan is arranged, thereby improving the effectiveness and accuracy of container management. When determining the first discrimination parameter, the first discrimination parameter can be determined according to the ship arrival time, the handover time, the handover location information vector, the known destination port vector, the known inland yard vector, the known departure port vector and the known export yard vector. In the calculation process, the relationship between the container handover time and the ship arrival time and the type of the handover location are fully considered, thereby improving the judgment accuracy of the container import and export type. When determining the priority transportation parameter, the priority transportation parameter can be determined according to the handover time, the ship departure time, the ship departure location and location information. In the calculation process, the time when the container waits for transportation in the yard, the time when the container can be used for transportation and the transportation distance of the container are fully considered, thereby improving the rationality of container transportation. When determining the matching parameters, the matching parameters can be determined based on the real-time transport vehicle information and the container size. During the calculation process, the working condition, carrying capacity and location of the transport vehicle are fully considered, thereby improving the rationality and accuracy of the transport vehicle selection.

[0103] Figure 2 A block diagram of an EIR-based intelligent container management system according to an embodiment of the present invention is exemplarily shown, and the system includes:

[0104] The container information collection module is used to obtain the identification information, status information and handover information of the container through the EIR, wherein the identification information includes: container number, container size and container type, the status information includes: damage information, and the handover information includes: transportation tool information, handover time and handover location;

[0105] An image acquisition module, used to acquire an appearance image of the container through an image acquisition device;

[0106] A judgment module, judging whether the container is an abnormal container according to the appearance image, the identification information and the status information;

[0107] An import and export module, used to determine the import and export type of the container according to the handover information;

[0108] A classification module, used for classifying and stacking containers according to the import and export type, the status information and the identification information;

[0109] A transport planning module, used to determine a transport plan according to the container size and the transport tool information during a management cycle;

[0110] The transport module is used to transport the container according to the transport plan.

[0111] The present invention may be a method, an apparatus, a system and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for executing various aspects of the present invention.

[0112] It should be understood by those skilled in the art that the embodiments of the present invention described above and shown in the accompanying drawings are only examples and do not limit the present invention. The purpose of the present invention has been fully and effectively achieved. The functional and structural principles of the present invention have been demonstrated and explained in the embodiments, and the embodiments of the present invention may be deformed or modified in any way without departing from the principles.

Claims

1. A container intelligent management method based on EIR, characterized in that: include: Obtain identification information, status information and handover information of the container through the EIR, wherein the identification information includes: container number, container size and container type, the status information includes: damage information, and the handover information includes: transportation tool information, handover time and handover location; Using image acquisition equipment to collect appearance images of the container; determining whether the container is an abnormal container according to the appearance image, the identification information and the status information; Determine the import and export type of the container according to the handover information; Classify and stack containers according to the import and export type, the status information and the identification information; In the management cycle, a transportation plan is determined according to the container size and the transportation tool information; transporting the container according to the transport plan; Judging whether the container is an abnormal container according to the appearance image, the identification information and the state information includes: In the appearance image, identifying the actual container number of the container by using an image detection model; In the appearance image, identifying the actual container size of the container by an image detection model; In the appearance image, identifying the actual container type of the container by an image detection model; In the appearance image, identifying whether the container is damaged by using an image detection model, and determining actual damage information; Determine a container number recognition result according to the actual container number and the container number; Determining a container size recognition result according to the actual container size and the container size; Determining a container type recognition result according to the actual container type and the container type; Determining an actual damage information identification result according to the actual damage information and the damage information; Determining a container information matching score according to the container number recognition result, the container size recognition result, the container type recognition result, and the actual damage information recognition result; Determining whether the container is an abnormal container according to the container information matching score; Judging whether the container is an abnormal container according to the container information matching score includes: Containers with a container information matching score less than 4 are identified as abnormal containers; Re-verify the identification information and status information of the abnormal container; According to the handover information, the import and export type of the container is determined, including: Determine the arrival time of the ship according to the transportation tool information; According to the handover location, determining the handover location code; Determining a handover location information vector according to the handover location code; Determine the known destination port, known inland storage yard, known port of departure and known export storage yard; Determine a known port of destination code, a known inland yard code, a known port of departure code, and a known export yard code according to the known port of destination, the known inland yard, the known port of departure, and the known export yard; Determine a known port of destination vector, a known inland yard vector, a known port of departure vector, and a known export yard vector according to the known port of destination code, the known inland yard code, the known port of departure code, and the known export yard code; Determine a first discrimination parameter according to the ship arrival time, the handover time, the handover location information vector, the known destination port vector, the known inland yard vector, the known departure port vector and the known export yard vector; According to the EIR, obtain the transfer box identification result; Determining the import and export type of the container according to the first discrimination parameter and the transfer box identification result; Determining the import and export type of the container according to the first discrimination parameter and the transfer box identification result includes: When the container is marked as a transfer box in the EIR, the transfer box identification result of the container is 1, and there is no need to determine the first discrimination parameter of the container. The container is classified into a transfer box for storage. When the container is not marked as a transfer box in the EIR, the transfer box identification result of the container is 0, and the first discrimination parameter of the container is determined. When the first discrimination parameter is 2, the container is an import box. When the first discrimination parameter is 1, the container is an export box. When the first discrimination parameter is 0, the container is a transfer box. The containers are classified and stacked according to the import and export types. Determining a first discrimination parameter according to the ship arrival time, the handover time, the handover location information vector, the known destination port vector, the known inland yard vector, the known departure port vector and the known export yard vector includes: According to the formula Determine the first discriminant parameter of the kth container , where if is the conditional function and max is the maximum value function. is the handover time of the kth container, is the arrival time of the ship of the kth container, is the preset time threshold, is the handover location information vector of the kth container, is the known destination port vector of the i-th known destination port, is the known inland yard vector of the jth known inland yard, is the known port of departure vector of the a-th known port of departure, is the known export yard vector of the rth known export yard, for The transposed vector of , n is the number of known destination ports, m is the number of known inland storage yards, A is the number of known departure ports, R is the number of known export storage yards, i≤n, j≤m, a≤A, r≤R, i, n, j, m, a, A, r and R are all positive integers; Classifying and stacking containers according to the import / export type, the status information, and the identification information includes: First, the containers are classified and stacked according to export containers, import containers and transit containers. Secondly, in the export container stacking area, import container stacking area and transit container stacking area, the containers are further classified and stacked according to their size, type and whether they are damaged; In the management cycle, a transportation plan is determined according to the container size and the transportation tool information, including: Determine the departure time and location of the ship based on the transportation information; Get the location information of the container; Determining a priority transport container according to the handover time, the ship departure time, the ship departure location and the location information; Acquire real-time transport vehicle information, wherein the real-time transport vehicle information includes: transport vehicle size, vehicle idle information, vehicle location information and driver working time information; Determine a transport vehicle according to the real-time transport vehicle information and the container size; Determining a priority transport container according to the handover time, the ship departure time, the ship departure location and the location information includes: According to the formula Determine the priority transport parameters for the kth container at the i-th moment of the management cycle ,in, and is the preset weight, where is the i-th moment of the management cycle, is the handover time of the kth container, is the departure time of the ship transporting the kth container, is the ship departure point of the ship transporting the kth container, is the location information of the kth container, K is the number of containers, k≤K, k and K are both positive integers; Determining a transport vehicle according to the real-time transport vehicle information and the container size includes: According to the formula Determine the matching parameters between the b-th transport vehicle and the k-th container , where if is a conditional function, is the vehicle idle information of the b-th transport vehicle, The working hours information of the driver of the b-th transport vehicle, is the preset working time threshold. is the vehicle location information of the b-th transport vehicle, is the transport vehicle size of the b-th transport vehicle, is the container size of the kth container, ; Determine the maximum value of the matching parameters between each transport vehicle and the k-th container, and determine the transport vehicle corresponding to the maximum value of the matching parameters as the transport vehicle for the k-th container.

2. An EIR-based container intelligent management system for executing the method described in claim 1, characterized in that: include: The container information collection module is used to obtain the identification information, status information and handover information of the container through the EIR, wherein the identification information includes: container number, container size and container type, the status information includes: damage information, and the handover information includes: transportation tool information, handover time and handover location; An image acquisition module, used to acquire an appearance image of the container through an image acquisition device; A judgment module, judging whether the container is an abnormal container according to the appearance image, the identification information and the status information; An import and export module, used to determine the import and export type of the container according to the handover information; A classification module, used for classifying and stacking containers according to the import and export type, the status information and the identification information; A transport planning module, used to determine a transport plan according to the container size and the transport tool information during a management cycle; The transport module is used to transport the container according to the transport plan.

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