Security management system based on shipping digital information platform

Abstract

The invention relates to the technical field of shipping safety management, and discloses a safety management system based on a shipping digital information platform, which comprises a data acquisition module, a data analysis module and a safety management module. According to the system, loading data, loading and unloading equipment transportation data and storage yard storage data of all ships berthing at a port are acquired through the data acquisition module, and the data analysis module analyzes and generates a stacking data set and a matching data set through networked management of storage positions in a storage yard, so that the ships can be smoothly berthed and unberthed according to plans; delay and congestion caused by insufficient container spaces are avoided, efficient inventory of remaining container spaces is achieved, the matching efficiency is high, a data analysis module obtains a bridge crane speed threshold value and a vehicle speed threshold value, an abnormal data set is generated through analysis, loading and unloading equipment in abnormal operation is rapidly recognized, and a safety management module judges whether potential safety hazards exist in the process of loading and unloading containers in a port or not; and corresponding signals are generated and then transmitted to the central control board, so that the loading and unloading process is flexibly managed and the safety is high.

Description

Technical Field

[0001] The present invention relates to the technical field of shipping safety management, and in particular to a safety management system based on a shipping digital information platform. Background Art

[0002] Strict inspection and acceptance should be carried out before loading to ensure that the goods meet the transportation requirements. The loading process should be reasonably loaded to prevent the goods from shifting or dumping. The status of the goods should be closely monitored during transportation to detect and deal with abnormal situations in a timely manner. When the ship is berthed, the shore crane is used at the front of the wharf for operation. The crane unloads the container on the ship and places it on the trailer, unloading it from the ship to the wharf. The horizontal transportation of containers on the wharf is usually completed by equipment such as straddle carriers, container trucks or automatic guided vehicles. These equipment are responsible for transporting containers from the front of the wharf to the designated yard location, or from the yard to the front of the wharf for loading. In the yard, containers need to be stacked in a certain order and rules. Equipment such as tire gantry cranes and rail-mounted gantry cranes are often used for loading and unloading and stacking operations in the yard. These equipment can efficiently complete the stacking and extraction of containers, ensuring the orderly and efficient operation of the yard.

[0003] At present, the traditional shipping digital information platform is unable to quickly count the remaining container spaces in the yard during the peak period of port loading and unloading. There is a long delay in manual judgment of the storage location of containers, which can easily cause the yard to be full. In addition, when the loading and unloading equipment fails or there is traffic congestion, the port transportation speed will be abnormal, the order of loading and unloading operations will easily become chaotic, the ship waiting time will be long and the transportation efficiency will be low. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides a safety management system based on a digital shipping information platform, which has the advantages of efficient inventory of remaining container spaces, high matching efficiency, flexible management of loading and unloading processes, and high safety. It solves the problem that traditional digital shipping information platforms cannot quickly inventory remaining container spaces, and that ships have long waiting times and low transportation efficiency.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a safety management system based on a digital shipping information platform, comprising a data acquisition module, a data analysis module and a safety management module; The data acquisition module is composed of a shipping data unit, a transport data unit and a yard data unit. The shipping data unit is connected to the shipping digital information platform through a network and collects ship data sets in chronological order from early to late. The ship data set includes the loading data of all ships docked at the port. The transport data unit is connected to the shipping digital information platform through a network to collect the transport data set. The transport data set includes the transport data of all loading and unloading vehicles at the port. The yard data unit is connected to the shipping digital information platform through a network to collect the yard data set. The yard data set includes the storage data of all containers in the yard. The data acquisition module transmits the ship data set, the transport data set and the yard data set to the data analysis module through the network. The data analysis module consists of an operation analysis unit, a loading and unloading matching unit, and a transportation analysis unit. The operation analysis unit manages the storage locations in the yard through networking, and each grid corresponds to a container position. Then, the stacking data set is combined to analyze and generate the stacking data set. and transmitted to the loading and unloading matching unit through the network. The loading and unloading matching unit is based on the ship data set, the yard data set and the stacking data set. , analysis generates matching data sets and transmitted to the transport analysis unit through the network, and the transport analysis unit obtains the bridge crane speed threshold through the network connection to the central control console and vehicle speed threshold , combined with the transportation data set, analysis generates anomaly data sets and transmitted to the security management module through the network; The safety management module is based on the stacking data group , matching data group and abnormal data group , determine whether there are safety hazards in the process of loading and unloading containers at the port, and generate corresponding signals and transmit them to the central control console.

[0006] The safety management module is based on the stacking data group , matching data group and abnormal data group , determine whether there are safety hazards in the process of loading and unloading containers at the port, and generate corresponding signals and transmit them to the central control console.

[0007] Preferably, the expression of the transport data set is , to The transportation data corresponding to each loading and unloading equipment in turn includes equipment type and transportation speed. Indicates the time a single loading and unloading vehicle spends performing transportation operations, from 1 to Indicates the number of port loading and unloading equipment indivual.

[0008] Preferably, the expression of the storage yard data set is: , to The storage data of each container in the yard is corresponding in turn, and the storage data includes container type, container weight, container size, container number and stacking position. Indicates the storage time of a single container in the yard, from 1 to Indicates the number of containers stored in the yard. indivual.

[0009] Preferably, the stacking data set The calculation process is as follows: The storage location in the yard is set up with grids, the rated load on a single grid is , the nominal height on a single grid is ; According to the stacking dataset, the number of grids without containers is marked as ; Extract the first The storage data of containers is marked as ; like The container type is a heavy container. The remaining stacking weight on the same container is marked as ; ; In the formula, Represents the nominal load on a single grid minus the The weight of the containers in the storage data is obtained The remaining stacking weight on the same container ; like The container type is empty container. The remaining stacking height on the same container position is marked as ; ; In the formula, Represents the nominal height on a single grid minus the The container size in the container storage data is obtained The remaining stacking height on the same container location ; ; In the formula, Represents a stacking data group, According to For each container type, calculate the remaining stacking weight on the same container location. According to The remaining stacking height on the same container position is calculated comprehensively according to the type of containers. The stacking data group includes the number of grids without containers stored, the remaining stacking weight of the containers stored on the same container position, and the remaining stacking height of the containers stored on the same container position.

[0010] Preferably, the matching data set The calculation process is as follows: ; In the formula, Represents a matching data set, Indicates the first Loading data of ships calling at the port, if The loading requirement of the ship is container loading. The loading list of the ship is obtained, and the storage data of the corresponding containers is filtered out in the yard data set. The filtering result is the first The matching results of ships calling at the port are as follows: The loading demand of the ship is to unload containers. The loading list of the ship in the stacking data group The storage location of the corresponding container is selected from the list, and the selection result is the first Matching results for ships calling at ports, Indicates that according to the loading requirements of each ship and the loading list of each ship, the data sets of yard or stacking are sorted in chronological order from early to late. Filter out the corresponding matching results and form A matching data set of ships calling at the port.

[0011] Preferably, the abnormal data set The calculation process is as follows: ; In the formula, represents an abnormal data set, Indicates the transportation data set Transportation data of each loading and unloading equipment, if The loading and unloading equipment is a bridge crane. Calculate the The difference between the transport speed in the transport data of the loading and unloading equipment and the bridge crane speed threshold, if the The loading and unloading equipment is a vehicle, Calculate the The difference between the transport speed in the transport data of the loading and unloading equipment and the vehicle speed threshold, and Indicates that according to the transportation data set 1 to Transport data of loading and unloading equipment, select the bridge crane speed threshold or vehicle speed threshold Calculate the difference and then calculate the transport speed exceeding the bridge crane speed threshold. or vehicle speed threshold The loading and unloading equipment constitutes an abnormal data group.

[0012] Preferably, the abnormal data set When there is data in the data, it means that the transportation speed of the operating loading and unloading equipment is abnormal, and there are safety hazards in the process of loading and unloading containers at the port. The corresponding loading and unloading scheduling signal is generated and transmitted to the central control console.

[0013] Preferably, the abnormal data set If there is no data in the matching data group, it means that there is no abnormal transportation speed of the loading and unloading equipment in operation. , to determine whether there are safety hazards in the process of loading and unloading containers at the port. If the matching data set There are cases where no matching results are screened out for a ship, indicating that the risk of the ship causing port congestion is high and there are safety hazards in the process of loading and unloading containers at the port. A corresponding ship dispatch signal is generated and transmitted to the central control console.

[0014] Preferably, the grids are filled with containers, and When there are two or more containers stacked in each grid, it means that the output capacity of the yard is saturated and there are safety hazards in the process of loading and unloading containers at the port. A corresponding stacking dispatch signal is generated and transmitted to the central control console.

[0015] Compared with the prior art, the present invention provides a safety management system based on a shipping digital information platform, which has the following beneficial effects: 1. The present invention obtains the loading data of all ships docked at the port, the transportation data of all loading and unloading vehicles and the storage data of all containers in the yard through the data acquisition module network connection to the shipping digital information platform, and classifies them into data sets. The data analysis module manages the storage locations in the yard through networking, and each grid corresponds to a container position. Then, combined with the yard data set, the stacking data set is analyzed and generated. , quickly count the remaining container spaces in the yard, and provide accurate data support for the ship's loading and unloading operations. The loading and unloading matching unit matches the ship data set, the yard data set, and the stacking data set. , analysis generates matching data sets , ensuring that ships can berth and leave berth smoothly as planned, avoiding delays and congestion caused by insufficient container space, and efficiently taking inventory of remaining container space for high matching efficiency.

[0016] 2. The present invention obtains the bridge crane speed threshold through the data analysis module network connection central control console and vehicle speed threshold , combined with the transportation data set, analysis generates anomaly data sets , quickly identify abnormally operating loading and unloading equipment to avoid damage to containers, ships and port facilities. The safety management module , matching data group and abnormal data group , to determine whether there are safety hazards in the process of loading and unloading containers at the port. If there is data in the data, it means that the loading and unloading equipment in operation has abnormal transportation speed. After generating the loading and unloading dispatch signal, it is transmitted to the central control console. If there is no data in the matching data group , to determine whether there are safety hazards in the process of loading and unloading containers at the port. If the matching data set If there is a ship that has not been screened out as a matching result, it means that the risk of the ship causing port congestion is high. After the ship dispatch signal is generated and transmitted to the central control console, if the grids are filled with containers, and When there are two or more containers stacked in each grid, it means that the output capacity of the yard has been saturated. After the stacking dispatch signal is generated, it is transmitted to the central control console to comprehensively monitor the entire process of loading and unloading containers at the port, and flexibly manage the loading and unloading process with high safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a system structure diagram of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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.

[0019] The traditional digital information platform for shipping cannot quickly count the remaining container spaces in the yard during the peak period of port loading and unloading. There is a long delay in human judgment of the storage location of containers, which easily leads to full yard. In addition, when the loading and unloading equipment fails or traffic is congested, the port transportation speed is abnormal, the loading and unloading operation sequence is easily confused, and the waiting time of ships is long and the transportation efficiency is low. Therefore, a safety management system based on the digital information platform for shipping is provided. Please refer to Figure 1 , a safety management system based on the shipping digital information platform, including data collection module, data analysis module and safety management module; The data collection module consists of a shipping data unit, a transport data unit, and a yard data unit. The shipping data unit is connected to the shipping digital information platform through a network and collects ship data sets from early to late in chronological order. The ship data set includes the loading data of all ships docked at the port. The expression of the ship data set is , to The loading data of each ship docking at the port in turn includes the ship number, ship size, loading requirements and loading list. Indicates the time when the ship docks at the port, from 1 to The number of ships calling at the port is The comprehensive collection of ship loading data is conducive to the subsequent rapid matching of the optimal loading plan, improving loading efficiency, reducing empty loads and waste, and effectively reducing transportation costs; The transport data unit collects the transport data set through the network connection to the shipping digital information platform. The transport data set includes the transport data of all loading and unloading vehicles at the port. The expression of the transport data set is: , to The transportation data of each loading and unloading equipment includes but is not limited to bridge cranes, trailers, chassis vehicles and straddle carriers. The transportation data includes equipment type and transportation speed. Indicates the time a single loading and unloading vehicle spends performing transportation operations, from 1 to Indicates the number of port loading and unloading equipment Comprehensively collect the transportation data of all loading and unloading vehicles at the port, so as to timely grasp the exit and entry status inside the port, avoid congestion and long waiting time, and reduce unnecessary delays; The yard data unit collects the yard data set through the network connection to the shipping digital information platform. The yard data set includes the storage data of all containers in the yard. The expression of the yard data set is: , to The storage data of each container in the yard is corresponding in turn, and the storage data includes container type, container weight, container size, container number and stacking position. Indicates the storage time of a single container in the yard, from 1 to Indicates the number of containers stored in the yard. Comprehensively collect container storage data to facilitate efficient planning of yard space in the future and avoid the phenomenon of full yard capacity; The data acquisition module transmits the ship data set, the transport data set and the yard data set to the data analysis module through the network; The data analysis module consists of an operation analysis unit, a loading and unloading matching unit, and a transportation analysis unit. The operation analysis unit manages the storage locations in the yard through networking, and each grid corresponds to a container position. Combined with the yard data set, the stacking data set is analyzed and generated. , the calculation process is as follows: The storage location in the yard is set up with grids, the rated load on a single grid is , the nominal height on a single grid is ; According to the stacking dataset, the number of grids without containers is marked as ; Extract the first The storage data of containers is marked as ; like The container type is a heavy container. The remaining stacking weight on the same container is marked as ; ; In the formula, Represents the nominal load on a single grid minus the The weight of the containers in the storage data is obtained The remaining stacking weight on the same container ; like The container type is empty container. The remaining stacking height on the same container position is marked as ; ; In the formula, Represents the nominal height on a single grid minus the The container size in the container storage data is obtained The remaining stacking height on the same container location ; ; In the formula, Represents a stacking data group, According to For each container type, calculate the remaining stacking weight on the same container location. According to The remaining stacking height on the same container position is calculated comprehensively based on the type of container. The stacking data group includes the number of grids without containers, the remaining stacking weight of containers stored on the same container position, and the remaining stacking height of containers stored on the same container position. The remaining container positions in the yard are quickly counted to provide accurate data support for the loading and unloading operations of ships. The loading and unloading matching unit is based on the ship data set, yard data set and stacking data set. , analysis generates matching data sets , the calculation process is as follows: ; In the formula, Represents a matching data set, Indicates the first Loading data of ships calling at the port, if The loading requirement of the ship is container loading. The loading list of the ship is obtained, and the storage data of the corresponding containers is filtered out in the yard data set. The filtering result is the first The matching results of ships calling at the port are as follows: The loading demand of the ship is to unload containers. The loading list of the ship in the stacking data group The storage location of the corresponding container is selected from the list, and the selection result is the first Matching results for ships calling at ports, Indicates that according to the loading requirements of each ship and the loading list of each ship, the data sets of yard or stacking are sorted in chronological order from early to late. Filter out the corresponding matching results and form The matching data group of ships at the port of call ensures that the ships can berth and leave smoothly as planned, avoiding delays and congestion caused by insufficient container space, and efficiently counting the remaining container space for high matching efficiency; The transport analysis unit connects to the central control console via the network to obtain the bridge crane speed threshold and vehicle speed threshold , combined with the transportation data set, analysis generates anomaly data sets , the calculation process is as follows: ; In the formula, represents an abnormal data set, Indicates the transportation data set Transportation data of each loading and unloading equipment, if The loading and unloading equipment is a bridge crane. Calculate the The difference between the transport speed in the transport data of the loading and unloading equipment and the bridge crane speed threshold, if the The loading and unloading equipment is a vehicle, Calculate the The difference between the transport speed in the transport data of the loading and unloading equipment and the vehicle speed threshold, and Indicates that according to the transportation data set 1 to Transport data of loading and unloading equipment, select the bridge crane speed threshold or vehicle speed threshold Calculate the difference and then calculate the transport speed exceeding the bridge crane speed threshold. or vehicle speed threshold The abnormal data group of loading and unloading equipment is formed to quickly identify the abnormally operating loading and unloading equipment, avoid the equipment from causing damage to containers, ships and port facilities, discover potential safety hazards in time, and ensure the safe and smooth progress of shipping operations; The safety management module is based on the stacking data group , matching data group and abnormal data group , to determine whether there are safety hazards in the process of loading and unloading containers at the port. If there is data in the data, it means that the operating loading and unloading equipment has abnormal transportation speed, and there are safety hazards in the process of loading and unloading containers at the port. The corresponding loading and unloading scheduling signal is generated and transmitted to the central control console. If the abnormal data group If there is no data in the matching data group, it means that there is no abnormal transportation speed of the loading and unloading equipment in operation. , to determine whether there are safety hazards in the process of loading and unloading containers at the port. If the matching data set If there is a case where no matching results are found in the screening, it means that the risk of the ship causing port congestion is high and there are safety hazards in the process of loading and unloading containers at the port. The corresponding ship dispatch signal is generated and transmitted to the central control console. grids are filled with containers, and When there are two or more containers stacked in each grid, it means that the output capacity of the yard has been saturated and there are safety hazards in the process of loading and unloading containers at the port. The corresponding stacking scheduling signal is generated and transmitted to the central control console to comprehensively monitor the entire process of loading and unloading containers at the port, and flexibly manage the loading and unloading process with high safety.

[0020] Example 1: In this experiment, a yard with 100 container spaces is selected as the experimental object. The number of grids in the yard is 100, the rated load on a single grid is 100 tons, the rated height on a single grid is 12 meters, and the number of grids in the yard where no containers are stored is 50. At the current time point, one container needs to be stacked in the yard. The size of the container is standard 20 feet, the height is about 2.6 meters, and the type is an empty container. After inventory, one container of the same size and type has been stacked in the grid in the yard. The remaining stacking height calculation formula on the same container space is as follows: ; After judgment, containers waiting for stacking can be stacked directly in the same container space.

[0021] Example 2: In this experiment, a bridge crane with a speed threshold of 2-3 m / s was selected as the experimental object. After testing, the actual transportation speed of the bridge crane was 3.5 m / s. The calculation formula for the difference between the actual transportation speed of the bridge crane and the speed threshold of the bridge crane is as follows: ; The difference between the actual transport speed of the bridge crane and the bridge crane speed threshold is a positive number. After judgment, the actual transport speed of the bridge crane exceeds the bridge crane speed threshold, which means that it is an abnormal loading and unloading equipment.

[0022] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A safety management system based on a digital shipping information platform, characterized by: Including data acquisition module, data analysis module and security management module; The data acquisition module is composed of a shipping data unit, a transport data unit and a yard data unit. The shipping data unit is connected to the shipping digital information platform through a network and collects ship data sets in chronological order from early to late. The ship data set includes the loading data of all ships docked at the port. The transport data unit is connected to the shipping digital information platform through a network to collect the transport data set. The transport data set includes the transport data of all loading and unloading vehicles at the port. The yard data unit is connected to the shipping digital information platform through a network to collect the yard data set. The yard data set includes the storage data of all containers in the yard. The data acquisition module transmits the ship data set, the transport data set and the yard data set to the data analysis module through the network. The data analysis module consists of an operation analysis unit, a loading and unloading matching unit, and a transportation analysis unit. The operation analysis unit manages the storage locations in the yard through networking, and each grid corresponds to a container position. Then, the stacking data set is combined to analyze and generate the stacking data set. and transmitted to the loading and unloading matching unit through the network. The loading and unloading matching unit is based on the ship data set, the yard data set and the stacking data set. , analysis generates matching data sets and transmitted to the transport analysis unit through the network, and the transport analysis unit obtains the bridge crane speed threshold through the network connection to the central control console and vehicle speed threshold , combined with the transportation data set, analysis generates anomaly data sets and transmitted to the security management module through the network; The safety management module is based on the stacking data group , matching data group and abnormal data group , determine whether there are safety hazards in the process of loading and unloading containers at the port, and generate corresponding signals and transmit them to the central control console.

2. The safety management system based on the shipping digital information platform according to claim 1 is characterized by: The expression of the ship data set is: , to The loading data of each ship docking at the port in turn includes the ship number, ship size, loading requirements and loading list. Indicates the time when the ship docks at the port, from 1 to The number of ships calling at the port is Ship.

3. The safety management system based on the shipping digital information platform according to claim 2 is characterized by: The expression of the transportation data set is , to The transportation data corresponding to each loading and unloading equipment in turn includes equipment type and transportation speed. Indicates the time a single loading and unloading vehicle spends performing transportation operations, from 1 to Indicates the number of port loading and unloading equipment indivual.

4. The safety management system based on the shipping digital information platform according to claim 3 is characterized by: The expression of the yard data set is: , to The storage data of each container in the yard is corresponding in turn, and the storage data includes container type, container weight, container size, container number and stacking position. Indicates the storage time of a single container in the yard, from 1 to Indicates the number of containers stored in the yard. indivual.

5. The safety management system based on the shipping digital information platform according to claim 4 is characterized by: The stacking data group The calculation process is as follows: The storage location in the yard is set up with grids, the rated load on a single grid is , the nominal height on a single grid is ; According to the stacking dataset, the number of grids without containers is marked as ; Extract the first The storage data of containers is marked as ; like The container type is a heavy container. The remaining stacking weight on the same container is marked as ; ； In the formula, Represents the nominal load on a single grid minus the The weight of the containers in the storage data is obtained The remaining stacking weight on the same container ; like The container type is empty container. The remaining stacking height on the same container position is marked as ; ； In the formula, Represents the nominal height on a single grid minus the The container size in the container storage data is obtained The remaining stacking height on the same container location ; ； In the formula, Represents a stacking data group, Indicates based on For each container type, calculate the remaining stacking weight on the same container location. Indicates based on The remaining stacking height on the same container position is calculated comprehensively according to the type of containers. The stacking data group includes the number of grids without containers stored, the remaining stacking weight of the containers stored on the same container position, and the remaining stacking height of the containers stored on the same container position.

6. The safety management system based on the shipping digital information platform according to claim 5 is characterized by: The matching data set The calculation process is as follows: ； In the formula, Represents a matching data set, Indicates the first Loading data of ships calling at the port, if The loading requirement of the ship is container loading. The loading list of the ship is obtained, and the storage data of the corresponding containers is filtered out in the yard data set. The filtering result is the first The matching results of ships calling at the port are as follows: The loading demand of the ship is to unload containers. The loading list of the ship in the stacking data group The storage location of the corresponding container is selected from the list, and the selection result is the first Matching results for ships calling at ports, Indicates that according to the loading requirements of each ship and the loading list of each ship, the data sets of yard or stacking are sorted in chronological order from early to late. Filter out the corresponding matching results and form A matching data set of ships calling at the port.

7. The safety management system based on the shipping digital information platform according to claim 6 is characterized by: The abnormal data set The calculation process is as follows: ； In the formula, represents an abnormal data set, Indicates the transportation data set Transportation data of each loading and unloading equipment, if The loading and unloading equipment is a bridge crane. Calculate the The difference between the transport speed in the transport data of the loading and unloading equipment and the bridge crane speed threshold, if the The loading and unloading equipment is a vehicle, Calculate the The difference between the transport speed in the transport data of the loading and unloading equipment and the vehicle speed threshold, and Indicates that according to the transport data set 1 to Transport data of loading and unloading equipment, select the bridge crane speed threshold or vehicle speed threshold Calculate the difference and then calculate the transport speed exceeding the bridge crane speed threshold. or vehicle speed threshold The loading and unloading equipment constitutes an abnormal data group.

8. The safety management system based on the shipping digital information platform according to claim 7 is characterized by: The abnormal data set When there is data in the data, it means that the transportation speed of the operating loading and unloading equipment is abnormal, and there are safety hazards in the process of loading and unloading containers at the port. The corresponding loading and unloading scheduling signal is generated and transmitted to the central control console.

9. The safety management system based on the shipping digital information platform according to claim 8 is characterized by: The abnormal data set If there is no data in the matching data group, it means that there is no abnormal transportation speed of the loading and unloading equipment in operation. , to determine whether there are safety hazards in the process of loading and unloading containers at the port. If the matching data set There are cases where no matching results are screened out for a ship, indicating that the risk of the ship causing port congestion is high and there are safety hazards in the process of loading and unloading containers at the port. A corresponding ship dispatch signal is generated and transmitted to the central control console.

10. The safety management system based on the shipping digital information platform according to claim 9 is characterized by: The yard grids are filled with containers, and When there are two or more containers stacked in each grid, it means that the output capacity of the yard is saturated and there are safety hazards in the process of loading and unloading containers at the port. A corresponding stacking dispatch signal is generated and transmitted to the central control console.

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