阅读说明：本技术 一种可视化的集装箱智能堆场管理系统及方法 (Visual intelligent container yard management system and method ) 是由 郑竞恒 丁杰 王弋 李洁 胡争 于 2021-09-13 设计创作，主要内容包括：本发明公开了一种可视化的集装箱智能堆场管理系统及方法,其系统包括：OCR识别模块：用于对进入和搬移出的集装箱上的文字进行识别,将识别信息同步到云端数据库；动态管理模块：用于实时调用第三方数据,其中,第三方数据包括所述OCR识别模块识别的数据,并同步到云端数据库,其方法包括当有集装箱需要进入到堆场时:对集装箱信息进行采集并同步到云端数据库；对集装箱在提离过程效率产生影响的因素进行综合分析,并对操作人员的操作习惯和实际效果进行分析和学习,综合各方因素,对集装箱在场内的码放和移动提供优化方案；本发明,可有效降低因提放其他集装箱而导致的集装箱堆场内翻动的几率,从而减少工作量,提高劳动生产率,并有效减少碳排放。(The invention discloses a visual intelligent container yard management system and a method, wherein the system comprises: an OCR recognition module: the system is used for identifying characters on the containers which enter and are moved out, and synchronizing the identification information to the cloud database; the dynamic management module: the method comprises the steps of collecting container information and synchronizing the container information to a cloud database when a container needs to enter a storage yard; comprehensively analyzing factors influencing the efficiency of the container in the lifting process, analyzing and learning the operation habits and actual effects of operators, and comprehensively analyzing the factors of all parties to provide an optimization scheme for the stacking and moving of the containers in the field; the invention can effectively reduce the probability of turning in the container yard caused by lifting and placing other containers, thereby reducing the workload, improving the labor productivity and effectively reducing the carbon emission.)

1. A visual intelligent container yard management system is characterized by comprising:

an OCR recognition module: the system comprises a cloud database, a database server and a database server, wherein the cloud database is used for identifying characters on containers entering and moving out and synchronizing the identified information to the cloud database, and the characters on the containers have identification;

the dynamic management module: the system comprises an OCR recognition module, a cloud database and a database server, wherein the OCR recognition module is used for recognizing the data of the third party and synchronizing the data of the third party to the cloud database;

the cloud database: storing business data relating to the containers and the container trucks, wherein the business data includes at least a container yard site box map;

a virtual box bitmap generation module: planning a virtual container yard box bitmap according to the container yard field box bitmap;

a neural network algorithm module of a code rule: comprehensively analyzing factors influencing the efficiency of the container in the lifting process, analyzing and learning the operation habits and the actual effects of operators by using a neural network algorithm module, and comprehensively integrating all the factors to provide an optimization scheme for the stacking and moving of the containers in the field;

the visual terminal is characterized in that: the system is provided with a visual operation interface, provides data related to the container and the truck, wherein the data related to the container and the truck comprises background information, business information, port information and in-site position information related to the container, provides a basis for basic judgment of operators in the working process, and provides a friendly human-computer interaction interface, wherein the friendly human-computer interaction interface is used for realizing the control of moving and stacking of the container in the site and displaying the acquired data of the cloud database.

2. The visual intelligent container yard management system of claim 1, wherein: and the computer language realized by the visual operation interface equipped by the visual terminal is three.

3. The visual intelligent container yard management system of claim 1, wherein: the data stored in the cloud database further comprises a box operator, a box holder, an entrance purpose, a customs clearance number, a same customs clearance number, a box amount, a ship name and number, a ship time, a port opening and intercepting time, customs clearance time, a box delivery port area, container state information and cargo weight information.

4. The visual intelligent container yard management system of claim 1, wherein: also comprises the following steps of (1) preparing,

a highlight display module: and highlighting the virtual container corresponding to the truck-mounted vehicle information in the virtual container yard box bitmap.

5. A visual intelligent container yard management method implemented by the visual intelligent container yard management system of any one of claims 1-4, comprising the steps of:

when a container needs to enter the storage yard:

collecting container information entering a storage yard and synchronizing the container information to a cloud database;

comprehensively analyzing factors influencing the efficiency of the container in the lifting-off process, analyzing and learning the operation habits and actual effects of operators, and comprehensively integrating all the factors to provide an optimization scheme for the stacking of the containers in the yard;

placing the containers according to the stacking optimization scheme, and updating corresponding virtual container yard box bitmaps after the placement is finished;

when a container needs to be moved out of the storage yard;

providing an optimized scheme for moving the container in the field;

updating the corresponding virtual container yard box bitmap after the moving is finished;

wherein, the stacking and moving are controlled by a friendly human-computer interaction interface.

6. The visual intelligent container yard management method of claim 5, wherein; and when a container needs to be moved out of the storage yard, highlighting the corresponding container needing to be moved.

Technical Field

The invention relates to the technical field of yard management systems, in particular to a visual intelligent container yard management system and a visual intelligent container yard management method.

Background

The container is a large-sized loading container with certain strength, rigidity and specification and specially used for turnover. The container is used for transferring goods, the goods can be directly loaded in the warehouse of a shipper and unloaded in the warehouse of a consignee, and the goods do not need to be taken out from the container for reloading when vehicles and ships are changed midway. Therefore, the container is a great invention. The greatest success of a container lies in its standardization of products and the set of transportation systems established thereby. The standardization of a large object carrying dozens of tons can be realized, and a logistics system matched with ships, ports, routes, roads, transfer stations, bridges, tunnels and multimodal transportation in the global range is gradually realized on the basis of the standardization, which is indeed one of great curiosities created by mankind from history.

With the peak value of the carbon dioxide emission strive proposed by the state reached 2030 years ago and the ambitious planning in the aspect of carbon neutralization achieved 2060 years ago, the multi-type intermodal transportation of sea iron, river sea, land and water and the like gradually become the mainstream transportation mode of container logistics, and with the rise of the multi-type intermodal transportation, the demand for heavy container drop-off sites for connecting different transportation modes is gradually increased. However, the conventional container drop temporary storage and the management of the container in and out becomes a difficult problem. Considering that the box type, the box amount, the cargo weight, the ship time, the port opening time, the customs clearance time, the arrival sequence of the delivery vehicles, the port area of delivery, the state information of the containers and the like of the containers delivered to a drop-off site are uncontrollable factors, so that the rise and fall of the containers in the site can not be realized by the traditional informatization means, a row of containers are required to be turned over for the port of delivery of a specific container in the actual operation process, the waste of the time, resources and manpower for temporarily dropping the containers in the storage yard is caused, and the unnecessary extra carbon emission is further caused.

Disclosure of Invention

The invention aims to provide a visual intelligent container yard management system and a visual intelligent container yard management method, which are used for solving the problems in the background technology.

In order to achieve the purpose, the invention provides the following technical scheme: a visual intelligent container yard management system and method includes:

an OCR recognition module: the system comprises a cloud database, a database server and a database server, wherein the cloud database is used for identifying characters on containers entering and moving out and synchronizing the identified information to the cloud database, and the characters on the containers have identification;

the dynamic management module: the system comprises an OCR recognition module, a cloud database and a database server, wherein the OCR recognition module is used for recognizing the data of the third party and synchronizing the data of the third party to the cloud database;

the cloud database: storing business data relating to the containers and the container trucks, wherein the business data includes at least a container yard site box map;

a virtual box bitmap generation module: planning a virtual container yard box bitmap according to the container yard field box bitmap;

a neural network algorithm module of a code rule: comprehensively analyzing factors influencing the efficiency of the container in the lifting process, analyzing and learning the operation habits and the actual effects of operators by using a neural network algorithm module, and comprehensively integrating all the factors to provide an optimization scheme for the stacking and moving of the containers in the field;

the visual terminal is characterized in that: the system is provided with a visual operation interface, provides data related to the container and the truck, wherein the data related to the container and the truck comprises background information, business information, port information and in-site position information related to the container, provides a basis for basic judgment of operators in the working process, and provides a friendly human-computer interaction interface, wherein the friendly human-computer interaction interface is used for realizing the control of moving and stacking of the container in the site and displaying the acquired data of the cloud database.

Preferably, the computer language realized by the visualized operation interface equipped by the visualization terminal is three.

Preferably, the data stored in the cloud database further comprises a box operator, a box holder, an entrance purpose, a customs clearance number, a ship name and number, a ship time, a port opening and intercepting time, customs clearance time, a box delivery port area, container state information and cargo weight information.

Preferably, the method further comprises the following steps,

a highlight display module: and highlighting the virtual container corresponding to the truck-mounted vehicle information in the virtual container yard box bitmap.

A visual intelligent container yard management method is implemented by adopting the visual intelligent container yard management system, and comprises the following steps:

when a container needs to enter the storage yard:

collecting container information entering a yard;

comprehensively analyzing factors influencing the efficiency of the container in the lifting-off process, analyzing and learning the operation habits and actual effects of operators, and comprehensively integrating all the factors to provide an optimization scheme for the stacking of the containers in the yard;

placing the containers according to the stacking optimization scheme, and updating corresponding virtual container yard box bitmaps after the placement is finished;

when a container needs to be moved out of the storage yard;

providing an optimized scheme for moving the container in the field;

updating the corresponding virtual container yard box bitmap after the moving is finished;

wherein, the stacking and moving are controlled by a friendly human-computer interaction interface.

Preferably, when a container needs to be moved out of the yard, the corresponding container needing to be moved is highlighted.

Compared with the prior art, the invention has the beneficial effects that:

according to the invention, in the container entering, loading and lifting processes, parameters which directly influence the container entering and exiting sequence, such as the box type box amount, the cargo weight, the ship time, the harbor opening time, customs clearance, port arrival and arrival areas, are directly projected to a visual operation interface, and meanwhile, the artificial intelligence assists in recommending an optimized operation scheme to workers, so that the probability of turning in a container yard caused by lifting and placing other containers can be effectively reduced, the workload is reduced, the labor productivity is improved, and the carbon emission is effectively reduced.

Drawings

FIG. 1 is a visual operation interface diagram of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Referring to fig. 1, the present invention provides a technical solution: a visual intelligent container yard management system comprising:

an OCR recognition module: the system comprises a cloud database, a database server and a database server, wherein the cloud database is used for identifying characters on containers entering and moving out and synchronizing the identified information to the cloud database, and the characters on the containers have identification;

in this embodiment, the text on the container may be understood as an identification number sequence uniquely corresponding to the container, specifically, 0236896, representing the identity of one of the containers.

The dynamic management module: the system comprises a cloud database, an OCR recognition module, a database management module and a database management module, wherein the cloud database is used for calling third-party data in real time, and the third-party data comprises data recognized by the OCR recognition module and is synchronized to the cloud database;

cloud database: storing business data related to the containers and the container trucks, wherein the business data at least comprises container yard site box maps;

in this embodiment, data in the cloud database may come from human input, collection by the OCR recognition module, and synchronization of data in the present application.

A virtual box bitmap generation module: drawing a virtual container yard box bitmap according to the container yard field box bitmap;

in this embodiment, the virtual container yard bin map includes block information, shellfish, column and layer information, and the virtual container yard bin map is in a 3D format, and the containers in the container yard bin map completely correspond to the field entities, so that the understanding and actual operation of field operators are facilitated.

A neural network algorithm module of a code rule: comprehensively analyzing factors influencing the efficiency of the container in the lifting process, analyzing and learning the operation habits and the actual effects of operators by using a neural network algorithm module, and comprehensively integrating all the factors to provide an optimization scheme for the stacking and moving of the containers in the field;

visual terminal: the system is provided with a visual operation interface, provides data related to the container and the truck, provides basis for basic judgment of operators in the working process and provides a friendly man-machine interaction interface, wherein the data related to the container and the truck comprises background information, business information, port information and on-site position information related to the container, and the friendly man-machine interaction interface is used for realizing the control of moving and stacking of the container in the site and displaying the acquired data of the cloud database.

In the embodiment, the control of moving and stacking the containers in the field through a friendly human-computer interaction interface can be understood as simulating the falling, loading, moving and turning of the containers on the interaction interface in a dragging mode, meanwhile, in the real world, a moving or stacking mechanism moves the containers in reality, dragging results are directly synchronized to a cloud database, and compared with the traditional data inputting mode, the moving, loading, moving and turning of the containers are realized more quickly and conveniently, and the understanding and actual operation of field operators are facilitated;

the dragging realizes that the box falls, goes up the box, moves the box and turns over the specific understanding that:

if 1 container needs to be moved from the position A0532 to the position B1213, and a new position B1213 needs to be entered at the mobile terminal in the past, we only need to press the virtual container (the container upper mark corresponds to the container number) at the mobile terminal with a finger, drag the virtual container to the position B1213, then confirm the virtual container and then complete the movement, and select the simulated container above, and then pop the information related to the corresponding real container.

Specifically, the computer language realized by the visual operation interface equipped in the visual terminal is three.

Specifically, the data stored in the cloud database further comprises a box operator, a box holder, an entrance purpose, a customs clearance number, a same customs clearance number, a ship name and number, a ship time, a port opening and intercepting time, customs clearance time, a box delivery port area, container state information and cargo weight information.

In particular, the method also comprises the following steps,

a highlight display module: and highlighting the virtual container corresponding to the truck vehicle information in the virtual container yard box bitmap.

A visual intelligent container yard management method is implemented by adopting the visual intelligent container yard management system, and comprises the following steps:

when a container needs to enter the storage yard:

collecting container information entering a yard;

comprehensively analyzing factors influencing the efficiency of the container in the lifting-off process, analyzing and learning the operation habits and actual effects of operators, and comprehensively integrating all the factors to provide an optimization scheme for the stacking of the containers in the yard;

placing the containers according to the stacking optimization scheme, and updating corresponding virtual container yard box bitmaps after the placement is finished;

when a container needs to be moved out of a storage yard;

providing an optimized scheme for moving the container in the field;

updating the corresponding virtual container yard box bitmap after the moving is finished;

wherein, the stacking and moving are controlled by a friendly human-computer interaction interface.

Specifically, when a container needs to be moved out of the yard, the corresponding container needing to be moved is highlighted.

Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.