Automatic Identification System and Identification Method for Container Storage Location

Abstract

The present invention relates to an automatic identification system and method for the storage location of containers. The automatic identification system includes an identification camera group, an industrial control computer with a wireless transmission module, a stack position identification subsystem and a box number identification subsystem respectively electrically connected to the identification camera group. The stack position identification subsystem and the box number identification subsystem are jointly connected to the industrial control computer with a wireless transmission module. The industrial control computer with a wireless transmission module is electrically connected to a centimeter-level differential positioning module through a high-precision positioning subsystem, and the industrial control computer with a wireless transmission module is connected to a background management system; the automatic identification system further includes a network structure. The automatic identification method includes the steps: (1) encoding the storage positions in the yard; (2) performing 3D modeling of the yard; (3) performing storage positioning; (4) identifying the box number; (5) storing the data; (6) retrieving the data.

Description

Technical Field

[0001] The present invention belongs to the technical field of containers, and particularly relates to an automatic identification system and an identification method for the stacking position of containers. Background Art

[0002] At present, in container yards such as ports, the stacking positions of containers mostly adopt the method of designating stacking positions for containers in advance (a yard, bay, position, row, and layer constitute an actual container placement position, called a yard position). Then, the truck driver transports the container to the designated area, and operating equipment such as a gantry crane operates according to the instructions to stack the container at the designated position, and then makes a record to confirm the container operation, and the system updates the yard data. If there is already a container at the originally designated position on site and the container is placed at a new position, the actual stacking position is recorded to form a tally report, and the operation is confirmed in the system according to the tally report. The system updates the yard data and records the operation log.

[0003] One problem with this method is that a strict yard plan must be formulated in advance. Often, after the container arrives at the designated position, due to various reasons, the container cannot be stacked at the designated position according to the yard plan. The new actual stacking position needs to be submitted to the background system through the tally report for stacking position confirmation and update, with many links and low efficiency.

[0004] In addition, due to the poor yard plan and the influence of uncontrollable random factors at the terminal, container repositioning often occurs in the yard. The main reasons are as follows: Heavy containers with different ship names and voyages enter the yard mixed, and there may be a phenomenon that containers not going on a certain ship are pressed on top of containers going on that ship. To smoothly carry out the ship loading operation, the containers going on the ship need to be taken out and placed in an appropriate position; The shipping company temporarily changes the voyage or destination port of a certain container, and the terminal must modify the ship loading and unloading plan, resulting in the need to reposition some containers; Heavy containers of special box types have relatively fixed positions on the ship, and they must be stacked separately in the yard before loading and unloading operations to facilitate container loading, thus resulting in container repositioning, such as refrigerated containers, dangerous containers, frame containers, high containers, etc.; When the imported heavy containers are released to the consignee or inland carrier, the resulting container repositioning is also relatively common because they come to the terminal to pick up containers successively and randomly, inevitably resulting in container repositioning.

[0005] During container repositioning, due to the randomness of on-site operations, it is necessary to accurately and timely record the moved container position after the repositioning is completed, and form a tally report to update the container position in the background system. Due to the randomness of on-site operations and the unclear and inaccurate on-site manual records, container position recording errors often occur. As a result, it is often the case that containers cannot be found in the yard according to the container position. Similarly, the error rate of on-site manual records is high and the efficiency is low.

[0006] In addition, for container yards with large throughput such as port terminals, there are relatively good information systems, strict yard plans, and yard operation specifications, and the records of container positions are relatively accurate. However, for the small and medium-sized yards serving the collection and distribution of ports, due to problems such as imperfect information systems, relatively simple yard plans, and great randomness in on-site operations, on the one hand, the manual recording efficiency of container storage positions in these yards is low, and on the other hand, the error rate is high, and the situation of not being able to find containers often occurs.

[0007] For the positioning of containers in traditional yards, RFID or the laying of ground magnetic nails, DGPS differential devices, etc. are required to strive to accurately position the placed containers and automatically upload the storage positions. The cost is too high, the system is complex, the maintenance is difficult, and the cost performance is low. The position is still arranged in advance and recorded after placement. After container reshuffling, the container is often not put back to its original position and the container cannot be found.

[0008] Most of the container positioning methods retrieved adopt intelligent position positioning terminals or implementations, and equipment needs to be installed on the containers; due to the global mobility of containers and the separation of users and owners, the installation and implementation are inconvenient and the cost is high. Moreover, in the yard, due to the metal surface of the containers, signal shielding will occur when the containers are stacked, making it impossible to achieve container positioning; in addition, some positioning methods install weighing devices on the cranes to position the height, but the problem of identifying the yard area where the container is located cannot be solved.

[0009] Regarding the realization of container number recognition based on machine vision and artificial intelligence technology related to the present invention, there have been reports in multiple prior patent documents, and their disclosed content is limited to the recognition of text such as container numbers and does not achieve container positioning.

[0010] CN202010623206.5 discloses a cargo yard container number identification device, a positioning device and a system. Its purpose is to address the problem that it is easy to make mistakes when the container management personnel manually enter the container number and the moved position, causing inconvenience to the cargo yard management system. It provides a method of obtaining the container number through the container number identification device, obtaining the container storage position information through the container positioning device, obtaining the container number and the position information of the container through the server, binding the container number and the position information of the container in the pre-installed database, and generating a data record. When the container position changes, the server receives the container number and the updated position information, binds the container number and the updated position information of the container, and generates a data record, avoiding the cargo yard container number identification device, positioning device and system that are prone to errors through manual entry by management personnel. The technical solution: A cargo yard container positioning and identification system, including: a server; a container number identification device, installed on the container hoisting equipment, communicatively connected to the server, configured to obtain the container number and send it to the server; a container positioning device, installed on the container hoisting equipment, communicatively connected to the server, configured to obtain the first position information of the hoisted container; wherein, the server is configured to bind the first position information with the container number and generate a first data record. Its deficiencies are: 1) It can only identify the height position after the current operation of the container by the reach stacker, and cannot identify which area of the yard the current container is in. 2) It cannot be used to identify the position during the operation of the stacker. Summary of the Invention

[0011] Aiming at the deficiencies of the above-mentioned existing technologies, the purpose of the present invention is to provide a container positioning technology in the yard that combines machine vision, artificial intelligence, high-precision positioning and 3D maps to achieve low-cost and high-efficiency, and uses a camera to perform real-time shooting on the containers in the container yard, and performs image analysis and processing on the obtained videos and images to automatically obtain the real-time position atlas of the container storage in the yard. Another purpose of the present invention is to provide an automatic identification system for the container storage position that constructs a 3D yard map based on yard poles and ground markings, or adopts a high-precision positioning method, based on a 3D engine and an electronic map. Another purpose of the present invention is to provide a camera distributed in the container yard, covering the container area of the yard, capable of obtaining all information of the yard position (yard, bay, position, row, layer) of the container, and analyzing and processing the image and video information obtained by the camera through an industrial computer with deep learning and artificial intelligence algorithms, and performing behavior analysis on various operations occurring in the yard, and real-time updating the operation information of the container yard, such as the container storage position automatic identification method for operations such as container placement, container transfer, and container lifting.

[0012] The technical solution of the present invention is the automatic identification system for the container storage location, which is characterized in that it includes an identification camera group, an industrial computer with a wireless transmission module, a stack location identification subsystem and a box number identification subsystem respectively electrically connected to the identification camera group. The stack location identification subsystem and the box number identification subsystem are jointly connected to the industrial computer with a wireless transmission module. The industrial computer with a wireless transmission module is electrically connected to a centimeter-level differential positioning module through a high-precision positioning subsystem, and the industrial computer with a wireless transmission module is connected to a background management system; the automatic identification system also includes a network structure; the camera transmits the collected video image to the industrial computer, and the high-precision positioning module transmits the positioning information to the industrial computer. The industrial computer identifies information such as the layer where the container is located, the ground mark, the pole mark and the box number, and transmits the data to the backend management system. The backend management system calculates and updates the stack location and container location information based on the 3D yard location data already stored in the database.

[0013] Preferably: The identification camera group conducts real-time photography of the yard, and obtains yard container storage location image information, container storage space image information, and operation image information of people, vehicles and equipment in the yard based on high-precision positioning or identifying yard markings; the cameras in the identification camera group can be installed on yard container operation equipment such as stackers and gantry cranes. The industrial computer with built-in image recognition algorithms installed on the operation equipment can automatically identify the box number of the operating container, and automatically record the storage location of the container by judging the relative position between the operating container and the surrounding containers that have been placed or the relative position of the yard location, and upload it to the background system.

[0014] Preferably: The network structure includes a server, a user terminal and a router respectively network-connected to the server. The router is respectively connected to a gate device in a wired or wireless transmission manner, and a stacker assembly connected in a manner of accessing a 5G base station through a dedicated line network and transmitting through a 5G network.

[0015] Preferably: The gate device includes a box knowledge door edge box and a camera network-connected to the box knowledge door edge box.

[0016] Preferably: The stacker assembly includes a box knowledge door edge box, cameras respectively network-connected to the box knowledge door edge box, and a stacker connected by a line.

[0017] Another technical solution of the present invention is the automatic identification method for the container storage location, which is special in that it includes the following steps:

[0018] ⑴ Code the yard stack positions;

[0019] ⑵ Conduct 3D modeling of the yard;

[0020] ⑶ Conduct storage positioning;

[0021] (4) Container number identification;

[0022] (5) Data storage in the database;

[0023] (6) Data retrieval.

[0024] Preferably, the step (2) further includes: performing 3D modeling on the storage yard based on a 3D engine, with the spatial coordinate system denoted as P = (X, Y, Z); based on the 3D map, establishing a corresponding relationship between each stacking area of the storage yard and the 3D coordinate system; establishing a corresponding relationship between the 3D map and the longitude and latitude; thus, for each stacking position, its spatial information includes:

[0025] T = {RE.BL.BY.RW.TR, (X, Y, Z), (longitude and latitude coordinates)}

[0026] T represents a specific stacking position, RE.BL.BY.RW.TR represents the stacking position code, and (X, Y, Z) represents its spatial coordinates; the information of each stacking position is saved in the database;

[0027] When the user searches for a container on the user interface, they only need to input the container number. The image acquisition subsystem with a camera fixedly installed in the storage yard captures real-time images of the storage yard. Based on high-precision positioning or identifying the yard markings, the corresponding relationship between the stacking position of the container in the yard, the spatial image information of the container's stacking space, and the operation image information of people, vehicles, and equipment in the yard is obtained. Then, a corresponding search is performed in the database to obtain the result. The query result is highlighted and displayed on the 3D map.

[0028] Preferably, the step (3) further includes:

[0029] (3.1) Image recognition layer position;

[0030] (3.2) High-precision positioning;

[0031] (3.3) Calculate the stacking position.

[0032] Preferably, the step (4) further includes:

[0033] (4.1) Based on high-precision identification of the longitude and latitude, search for the stacking positions that meet the conditions in the database. Then, based on the stacking position recognition subsystem, identify which layer the currently operating container is stacked on, and combine with the ground markings for auxiliary identification to obtain the spatial coordinate system (X, Y, Z) of the current container's stacking position;

[0034] (5.2) Based on the container number recognition subsystem, identify the container number and establish an association relationship between the container number and the stacking position:

[0035] T = {RE.BL.BY.RW.TR, (X, Y, Z), (longitude, latitude), container number}

[0036] T is a specific stacking position. RE.BL.BY.RW.TR represents the stacking position code, and (X, Y, Z) represents its spatial coordinates; the information of each stacking position is saved in the database.

[0037] Preferably, the step (5) further includes:

[0038] (5.1) Stacking position code; 1. Set up poles or draw markings on the ground in each area of the yard to achieve unified numbering of the stacking areas in the yard; the numbering is coded with RE.BL.BY.RW.TR, where:

[0039] RE represents the berth area number; according to the order of the berths where the ships are parked, each berth corresponds to one area; for example, berth No. 1 corresponds to area No. 1, and berth No. 2 corresponds to area No. 2; for the land yard in the non-port area, which has no corresponding relationship with the ship, there is no berth area number.

[0040] Each berth area number is further divided into multiple blocks in the order from the sea side to the land side; BL represents the block, or the container area.

[0041] Each container area is further divided into "bays", corresponding to the BAY of the ship's container position; BY represents the bay position (BAY), with odd numbers indicating the placement positions of 20-foot small containers and even numbers indicating the placement positions of 40-foot large containers, and the actual stacking bay position of this container block is marked with a number with a red light ring.

[0042] Each bay is further divided into "rows"; starting from the side close to the lane, they are numbered in sequence; RW represents the row.

[0043] Each row is further divided into "layers"; generally there are 4 - 5 layers, from bottom to top, in sequence as 1, 2, 3, 4...; TR represents the layer; for example, 01.2E.02.03.05 represents the 5th layer of row 03, bay 02, container area 2E, berth 01.

[0044] (5.2) Longitude and latitude;

[0045] (5.3) Container number.

[0046] Compared with the prior art, the beneficial effects of the present invention are:

[0047] (1) The present invention uses a camera to perform real-time imaging on the containers in the container yard, performs image analysis and processing on the obtained videos and images, and automatically obtains a real-time position map of the container stacking in the yard.

[0048] (2) The present invention constructs a 3D yard map based on the yard poles and ground markings, or adopts a high-precision positioning method, based on a 3D engine and an electronic map.

[0049] ⑶ The cameras of the present invention are distributed in the container yard, covering the container area of the yard, and can obtain all the information of the yard positions (yard, bay, position, row, layer) of the containers.

[0050] ⑷ The present invention analyzes and processes the image and video information obtained by the cameras through an industrial control computer with deep learning and artificial intelligence algorithms, conducts behavior analysis on various operations occurring in the yard, and updates the operation information of the container yard in real time, such as operations like container placement, container transfer, and container lifting.

[0051] ⑸ On the one hand, the present invention solves the problem of automatic recording and uploading of the container placement position, avoiding manual transcription and entry, and greatly improving the operation efficiency of the yard.

[0052] ⑹ When an operation occurs in the yard of the present invention, the system can automatically identify the operation, and at the same time automatically record the storage position of the container during the operation and the actual storage position of the container after the operation is completed, greatly reducing the error rate of container position recording, and also avoiding manual recording and entry, thus greatly improving the yard management efficiency.

[0053] ⑺ The present invention does not require any equipment to be installed on the container, and will not affect the container operation process; the present invention only needs to install cameras and container number positioning and identification terminals on the stacker or in the yard stacking area, and combined with a 3D map, the positioning of all containers in the yard can be achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 is the architecture diagram of the automatic identification system for container storage positions of the present invention;

[0055] Figure 2 is the calculation flow chart of the container storage position of the present invention;

[0056] Figure 3 is the network structure diagram of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0057] The present invention will be further described in detail below in conjunction with the drawings:

[0058] Please refer to Figure 1As shown in the figure, the automatic identification system for the container storage location includes an identification camera group, an industrial control computer with a wireless transmission module, a stack location identification subsystem and a container number identification subsystem respectively electrically connected to the identification camera group. The stack location identification subsystem and the container number identification subsystem are jointly connected to the industrial control computer with a wireless transmission module. The industrial control computer with a wireless transmission module is electrically connected to a centimeter-level differential positioning module through a high-precision positioning subsystem, and the industrial control computer with a wireless transmission module is connected to a background management system; the automatic identification system also includes a network structure; the camera transmits the collected video images to the industrial control computer, and the high-precision positioning module transmits the positioning information to the industrial control computer. The industrial control computer identifies information such as the layer where the container is located, the ground markings, the pole markings, and the container number, and transmits the data to the backend management system. The backend management system calculates and updates the stack location and container location information based on the 3D yard location data already stored in the database.

[0059] In this embodiment, the identification camera group performs real-time shooting on the yard, and obtains the yard container storage location image information, the container storage space image information, and the operation image information of people, vehicles, and equipment in the yard based on high-precision positioning or identifying the yard markings; the cameras in the identification camera group can be installed on yard container operation equipment such as stackers and gantry cranes. The industrial control computer with built-in image recognition algorithms installed on the operation equipment can automatically identify the container number of the operating container, and automatically record the storage location of the container by judging the relative position between the operating container and the surrounding containers that have been placed or the relative position of the yard location, and upload it to the background system.

[0060] Please refer to Figure 3 As shown in the figure, the network structure includes a server, a user terminal and a router respectively network-connected to the server. The router is respectively connected to a gate device in a wired or wireless transmission manner, and a stacker assembly connected to a 5G base station through a dedicated line network and transmitted through a 5G network.

[0061] In this embodiment, the gate device includes a box knowledge door edge box and a camera network-connected to the box knowledge door edge box.

[0062] In this embodiment, the stacker assembly includes a box knowledge door edge box, a camera respectively network-connected to the box knowledge door edge box, and a stacker connected by a line.

[0063] Please refer to Figure 2 As shown in the figure, the automatic identification method for the container storage location includes the following steps:

[0064] ⑴ Code the yard stack positions;

[0065] (2) Yard 3D Modeling; Perform 3D modeling on the yard based on a 3D engine, with the spatial coordinate system denoted as P = (X, Y, Z); Based on the 3D map, establish a corresponding relationship between each stacking area of the yard and the 3D coordinate system; Establish the corresponding relationship between the 3D map and the longitude and latitude; Thus, for each stacking position, its spatial information includes:

[0066] T = {RE.BL.BY.RW.TR, (X, Y, Z), (longitude and latitude coordinates)}

[0067] T represents a specific stacking position, RE.BL.BY.RW.TR represents the stacking position code, and (X, Y, Z) represents its spatial coordinates; The information of each stacking position is saved in the database;

[0068] When the user searches for a container on the user interface, they only need to enter the container number. The yard image acquisition subsystem with a camera fixedly installed on the yard performs real-time imaging of the yard. Based on high-precision positioning or identifying the yard markings, the corresponding relationship between the stacking position of the container in the yard, the spatial image information of the container's stacking space, and the operation image information of people, vehicles, and equipment in the yard is obtained. Then, a corresponding search is performed in the database to obtain the result; The query result is highlighted and displayed on the 3D map.

[0069] (3) Stacking Positioning;

[0070] (3.1) Image Recognition Layer Position;

[0071] (3.2) High-Precision Positioning;

[0072] (3.3) Calculate the Stacking Position.

[0073] (4) Container Number Recognition;

[0074] (4.1) Based on high-precision recognition of the longitude and latitude, search for the stacking positions that meet the conditions in the database. Then, based on the stacking position recognition subsystem, identify which layer the currently operating container is stacked on, and combine with the ground markings for auxiliary recognition to obtain the spatial coordinate system (X, Y, Z) of the current container's stacking position;

[0075] (4.2) Based on the container number recognition subsystem, identify the container number and establish the association relationship between the container number and the stacking position:

[0076] T = {RE.BL.BY.RW.TR, (X, Y, Z), (longitude, latitude), container number}

[0077] T represents a specific stacking position, RE.BL.BY.RW.TR represents the stacking position code, and (X, Y, Z) represents its spatial coordinates; The information of each stacking position is saved in the database;

[0078] (5) Data Storage in the Database;

[0079] (5.1) Stack location coding; 1. Set up poles or draw markings on the ground in each area of the yard to achieve unified numbering of the storage locations in the yard; the numbering is encoded as RE.BL.BY.RW.TR, where:

[0080] RE represents the berth area code; according to the order of the berths where the ships are parked, each berth corresponds to one area; for example, berth No. 1 corresponds to area 1, and berth No. 2 corresponds to area 2; for the land yard in the non-port area, which has no corresponding relationship with the ship, there is no berth area code.

[0081] Each berth area is further divided into multiple blocks in the order from the sea side to the land side; BL represents the block, or the container area.

[0082] Each container area is further divided into "bays", corresponding to the BAY of the ship's container position; BY represents the bay position (BAY), odd numbers are used to indicate the placement position of 20-foot small containers, and even numbers are used to indicate the placement position of 40-foot large containers. The number with a red light circle indicates the actual stacking bay position of this container block.

[0083] Each bay is further divided into "rows"; starting from the side close to the lane, they are numbered in sequence; RW represents the row.

[0084] Each row is further divided into "layers"; generally there are 4 - 5 layers, from bottom to top, they are 1, 2, 3, 4... in sequence; TR represents the layer; for example, 01.2E.02.03.05 represents the 5th layer of row 03, bay 02, container area 2E, berth 01.

[0085] (5.2) Latitude and longitude;

[0086] (5.3) Container number;

[0087] (6) Data retrieval.

[0088] The above are only the preferred embodiments of the present invention. All equivalent changes and modifications made within the scope of the claims of the present invention shall fall within the scope covered by the claims of the present invention.

Claims

1. An automatic recognition method for the storage position of containers, characterized in that, it includes the following steps: (1) Coding the storage positions in the yard; The specific storage position coding includes: Setting up poles in each area of the yard or drawing marking lines on the ground to achieve unified numbering of the storage areas in the yard; The numbering is encoded with RE.BL.BY.RW.TR, where: RE represents the berth area number; According to the berth order where the ships are parked, each berth corresponds to one area; Berth No. 1 corresponds to Area 1, and Berth No. 2 corresponds to Area 2; For the land yard in the non-port area, which has no corresponding relationship with the ship, there is no berth area number; Each berth area number is further divided into multiple blocks in the order from the sea side to the land side; BL represents the block (or called the container area); Each container area is further divided into bays, corresponding to the BAY of the ship's container position; BY represents the bay position (BAY), with odd numbers indicating the placement positions of 20-foot small containers and even numbers indicating the placement positions of 40-foot large containers, and the numbers with red light circles mark the actual container stacking bay positions of this container block; Each bay is further divided into rows; Starting from the side close to the lane, numbering is carried out in sequence; RW represents the row; Each row is further divided into layers; From the bottom up, they are 1, 2, 3, 4... in sequence; TR represents the layer; 01.2E.02.03.05 represents the 05th layer of Row 03, Bay 02, Container Area 2E, Berth 01; (2) 3D modeling of the yard: Based on a 3D engine, 3D modeling of the yard is carried out, and the spatial coordinate system is denoted as P=(X,Y,Z); Based on the 3D map, a corresponding relationship is established between each storage position area in the yard and the 3D coordinate system; A corresponding relationship between the 3D map and the longitude and latitude is established; (3) Storage positioning: Specifically including: (3.1) Image recognition of the layer position; (3.2) High-precision positioning; (3.3) Calculating the storage position; The camera transmits the collected video images to the industrial control computer, and the high-precision positioning module transmits the positioning information to the industrial control computer. The industrial control computer recognizes the information of the layer where the container is located, the ground markings, the pole markings, and the container number, and transmits the data to the back-end management system. The back-end management system updates the storage position and container position information through calculation based on the 3D yard position data already stored in the database; (4) Container number recognition; (4.1) Based on high-precision positioning, the longitude and latitude are recognized, and the storage positions that meet the conditions are searched in the database. Then, based on the storage position recognition subsystem, it is recognized which layer the currently operating container is stacked on, and combined with the ground marking assistance recognition, the spatial coordinate system (X,Y,Z) of the current container storage position is obtained; (4.2) Based on the container number recognition subsystem, the container number is recognized, and an association relationship between the container number and the storage position is established: T={RE.BL.BY.RW.TR, (X,Y,Z), (longitude, latitude), container number}, T represents a specific storage position, RE.BL.BY.RW.TR represents the storage position coding, and (X,Y,Z) represents its spatial coordinates; The information of each storage position is saved in the database; (5) Data entry into the database; (6) Data retrieval.

2. The automatic recognition method for the storage position of containers according to claim 1, characterized in that, step (2) further includes: For each storage position, its spatial information includes: {RE.BL.BY.RW.TR, (X, Y, Z), (latitude and longitude coordinates)} When the user interface searches for a container, the user only needs to input the container number. The image acquisition subsystem with cameras fixedly installed in the yard captures real-time images of the yard. Based on high-precision positioning or identifying yard markings, the corresponding relationship between the yard container storage location images, container storage space images, and the operation images of people, vehicles, and equipment in the yard is obtained, and corresponding searches can be performed in the database to obtain the results. The query results are highlighted and displayed in the 3D map.

3. The automatic identification method for the container storage location according to claim 1, characterized in that, Step (5) further includes: storing the yard position code, latitude and longitude, and container number in the database.

4. An automatic identification system for container storage location, used to implement the method described in any one of claims 1 to 3, characterized in that, it includes an identification camera group, an industrial control computer with a wireless transmission module, a yard position identification subsystem and a container number identification subsystem respectively electrically connected to the identification camera group. The yard position identification subsystem and the container number identification subsystem are jointly connected to the industrial control computer with a wireless transmission module. The industrial control computer with a wireless transmission module is electrically connected to a centimeter-level differential positioning module through a high-precision positioning subsystem, and the industrial control computer with a wireless transmission module is connected to a background management system; the automatic identification system also includes a network structure, and the network structure includes a server, a user terminal and a router respectively network-connected to the server. The router is respectively connected to a gate device in a wired or wireless transmission manner, and a stacker assembly connected to a 5G base station through a dedicated line network and transmitted through a 5G network; the camera transmits the collected video images to the industrial control computer, and the high-precision positioning module transmits the positioning information to the industrial control computer. The industrial control computer identifies the information of the layer where the container is located, ground markings, pole markings, and container numbers, and transmits the data to the backend management system. The backend management system calculates and updates the yard position and container position information based on the 3D yard position data already stored in the database.

5. The automatic identification system for container storage location according to claim 4, characterized in that, the identification camera group captures real-time images of the yard, and based on high-precision positioning or identifying yard markings, obtains yard container storage location images, container storage space images, and the operation images of people, vehicles, and equipment in the yard; the cameras in the identification camera group are installed on stackers, gantry cranes and other yard container operation equipment. The industrial control computer with built-in image recognition algorithms installed on the operation equipment automatically identifies the container numbers of the operating containers, and automatically records the storage locations of the containers by judging the relative positions of the operating containers and the containers already placed around or the relative positions of the yard positions, and uploads them to the background system.

6. The automatic identification system for container storage location according to claim 4, characterized in that, the gate device includes a box knowledge door edge box and a camera network-connected to the box knowledge door edge box.

7. The automatic identification system for container storage location according to claim 4, It is characterized in that the reach truck assembly includes a box door edge box, a camera network-connected to the box door edge box respectively, and a reach truck connected by a line.

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