CN115577995A - Intelligent port PIM platform management method and system based on digital twin - Google Patents

Intelligent port PIM platform management method and system based on digital twin Download PDF

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CN115577995A
CN115577995A CN202211575758.9A CN202211575758A CN115577995A CN 115577995 A CN115577995 A CN 115577995A CN 202211575758 A CN202211575758 A CN 202211575758A CN 115577995 A CN115577995 A CN 115577995A
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model
simulation
data
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CN115577995B (en
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汤伊琼
谢正坚
席芳
温广标
黄维
王思超
覃振东
胡叶彪
陈国烁
潘用何
蔡颖
王媛
黎杰
盛秋实
王艳梅
刘雨扬
倪丽君
邓锐敏
亓幸子
林文强
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Cccc Smart City Ecological Development Guangzhou Co ltd
CCCC FHDI Engineering Co Ltd
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Cccc Smart City Ecological Development Guangzhou Co ltd
CCCC FHDI Engineering Co Ltd
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Abstract

The invention discloses a digital twin-based intelligent port PIM platform management method and a digital twin-based intelligent port PIM platform management system. The invention avoids the inefficiency brought by carrying out port operation analysis by depending on manual experience, effectively improves the port operation efficiency and realizes the purpose of improving the port economic benefit.

Description

Intelligent port PIM platform management method and system based on digital twin
Technical Field
The invention relates to the field of port management, in particular to a digital twin-based intelligent port PIM platform management method and system.
Background
The intelligent Port PIM (Port Information Modeling) is a platform for meeting the requirements of modern development and industry transition, improving the competitiveness and the credibility of a smart city company in the intelligent Port industry, promoting the development and the expansion of intelligent services of the smart city company and meeting the management requirements of Port operators.
At present, problems of low informatization degree, difficult data communication, difficult information sharing and the like generally exist in construction, operation and management of ports and docks, so that operation and management complexity of the ports and the docks is high, management and operation difficulty is high, and port development is greatly hindered. In order to accelerate information and data fusion, break through information isolated islands, carry out whole intelligent construction, make the harbour pier advance from intellectuality to intellectuality, port operation needs to combine the information means of modernization to upgrade, makes port business and carries out the organic combination with information technology such as thing networking, digital twin to set up port operation management intelligent platform, promote the improvement level in harbour.
Disclosure of Invention
In order to solve at least one technical problem, the invention provides a method and a system for managing a PIM platform of an intelligent port based on a digital twin.
The invention provides a digital twin-based intelligent port PIM platform management method, which comprises the following steps:
acquiring multi-azimuth port image data and a port map model;
building a port model according to the multi-azimuth port image data and the port map model to obtain a three-dimensional port model;
establishing a digital twin-based port simulation operation model according to historical operation conditions, and performing model combination on the three-dimensional port model and the port simulation operation model to obtain an integrated port model;
acquiring port service data, importing the port service data into an integrated port model to perform port operation simulation and generate port operation plan data and port pressure prediction data;
and performing emergency simulation according to the port pressure prediction data, generating emergency simulation plan information, and sending the information to preset terminal equipment.
In this scheme, according to the diversified image data in harbour and the harbour map model carry out the harbour model and build, obtain three-dimensional harbour model, specifically do:
dividing the multi-azimuth image data of the port according to spatial positions to obtain a plurality of groups of image data;
carrying out spatial analysis on the multiple groups of image data to obtain multiple groups of three-dimensional port submodels;
and combining the multiple groups of three-dimensional port submodels with the port map model to build a model so as to obtain a three-dimensional port model.
In the scheme, the port simulation operation model based on the digital twin is constructed according to the historical operation condition, and the three-dimensional port model and the port simulation operation model are subjected to model combination to obtain an integrated port model, specifically:
constructing a port simulation operation model based on a digital twin;
converting the acquired historical operation condition into an operation condition training data set;
and importing the training data set into a port simulation operation model for operation simulation training, and obtaining the trained port simulation operation model.
In this scheme, the method for constructing a digital twin-based port simulation operation model according to historical operation conditions and performing model combination on a three-dimensional port model and a port simulation operation model to obtain an integrated port model further includes:
extracting a specific model according to the three-dimensional port model to obtain a crane model, a cargo ship model and a container truck model;
carrying out data binding on operation prediction data in the port simulation operation model, the crane model, the cargo ship model and the container truck model;
and combining the three-dimensional port model with the port simulation operation model to obtain an integrated port model.
In the scheme, the step of acquiring port service data, the step of importing the port service data into an integrated port model to perform port operation simulation and generate port operation plan data and port pressure prediction data specifically comprises the following steps:
carrying out data parameter conversion on cargo order data, cargo planned berthing time and cargo berthing information in the port service data to obtain service data parameter information;
importing the service data parameter information into an integrated port model to carry out port operation simulation to obtain port cargo loading predicted time, truck-mounted predicted transport volume, truck-mounted transport pressure location, cargo loading and unloading pressure location and crane predicted operation time;
carrying out data integration on the port cargo loading predicted time, the truck-collected predicted transport volume, the truck-collected transport pressure place, the cargo loading and unloading pressure place and the crane predicted operation time to obtain port pressure predicted data;
and carrying out port scheduling optimization analysis according to the port pressure prediction data to obtain port operation plan data.
In this scheme, the emergency simulation is performed according to the port pressure prediction data to generate emergency simulation plan information, and the information is sent to a preset terminal device, specifically:
analyzing the port operation pressure according to the port pressure prediction data, and combining with an integrated port model to obtain the position of the maximum transportation pressure point and the position of the maximum cargo handling pressure point;
and carrying out emergency route simulation according to the position information of the position of the maximum transportation pressure point and the position of the maximum cargo loading and unloading pressure point in the integrated port model to obtain a plurality of pieces of emergency transportation route information.
In this scheme, according to the port pressure prediction data, emergency simulation is performed to generate emergency simulation plan information, and the information is sent to a preset terminal device, specifically:
performing personnel operation scheduling analysis according to port service data to obtain initial personnel allocation information;
carrying out emergency simulation on personnel according to the port pressure prediction data and the initial personnel allocation information to obtain personnel emergency allocation information;
and carrying out information plan integration on the information of the plurality of emergency transportation routes and the emergency personnel distribution information to obtain emergency simulation plan information.
The second aspect of the invention also provides a digital twin-based intelligent port PIM platform management system, which comprises: the intelligent digital twin-based port PIM platform management program comprises a memory and a processor, wherein the intelligent digital twin-based port PIM platform management program realizes the following steps when being executed by the processor:
acquiring multi-azimuth port image data and a port map model;
building a port model according to the multi-azimuth port image data and the port map model to obtain a three-dimensional port model;
establishing a digital twin-based port simulation operation model according to historical operation conditions, and performing model combination on the three-dimensional port model and the port simulation operation model to obtain an integrated port model;
acquiring port service data, importing the port service data into an integrated port model to perform port operation simulation and generate port operation plan data and port pressure prediction data;
and performing emergency simulation according to the port pressure prediction data, generating emergency simulation plan information, and sending the information to preset terminal equipment.
In this scheme, according to the diversified image data in harbour and harbour map model carry out the harbour model and build, obtain three-dimensional harbour model, specifically do:
dividing the multi-azimuth image data of the port according to spatial positions to obtain a plurality of groups of image data;
carrying out spatial analysis on the multiple groups of image data to obtain multiple groups of three-dimensional port submodels;
and combining the multiple groups of three-dimensional port submodels with the port map model to build a model, so as to obtain a three-dimensional port model.
In the scheme, the port simulation operation model based on the digital twin is constructed according to the historical operation condition, and the three-dimensional port model and the port simulation operation model are subjected to model combination to obtain an integrated port model, specifically:
constructing a port simulation operation model based on a digital twin;
converting the acquired historical operation condition into an operation condition training data set;
and importing the training data set into a port simulation operation model for operation simulation training, and obtaining the trained port simulation operation model.
The invention discloses a digital twin-based intelligent port PIM platform management method and a digital twin-based intelligent port PIM platform management system. The invention avoids the inefficiency brought by carrying out port operation analysis by depending on manual experience, effectively improves the port operation efficiency and realizes the purpose of improving the port economic benefit.
Drawings
FIG. 1 is a flow chart of a digital twin-based intelligent port PIM platform management method of the invention;
FIG. 2 illustrates a flow chart of the invention for obtaining a three-dimensional port model;
FIG. 3 shows a flow chart for obtaining a port simulation operation model according to the present invention;
fig. 4 shows a block diagram of a digital twin-based intelligent harbor PIM platform management system of the present invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
Fig. 1 shows a flow chart of a digital twin-based intelligent port PIM platform management method of the present invention.
As shown in fig. 1, a first aspect of the present invention provides a digital twin-based intelligent PIM platform management method, including:
s102, acquiring multi-azimuth image data of a port and a port map model;
s104, building a port model according to the multi-azimuth port image data and the port map model to obtain a three-dimensional port model;
s106, constructing a digital twin-based port simulation operation model according to historical operation conditions, and performing model combination on the three-dimensional port model and the port simulation operation model to obtain an integrated port model;
s108, port service data are obtained, and are imported into an integrated port model to carry out port operation simulation and generate port operation plan data and port pressure prediction data;
and S110, performing emergency simulation according to the port pressure prediction data, generating emergency simulation plan information, and sending the information to preset terminal equipment.
It should be noted that the preset terminal device includes a computer terminal device and a mobile terminal device.
FIG. 2 shows a flow chart of the method for obtaining the three-dimensional port model.
According to the embodiment of the invention, the port model is built according to the multi-azimuth port image data and the port map model to obtain the three-dimensional port model, and the method specifically comprises the following steps:
s202, dividing the multi-azimuth image data of the port according to spatial positions to obtain a plurality of groups of image data;
s204, carrying out spatial analysis on the multiple groups of image data to obtain multiple groups of three-dimensional port submodels;
and S206, combining the multiple groups of three-dimensional port submodels with the port map model to build a model, and obtaining the three-dimensional port model.
It should be noted that the spatial position is specifically a relative spatial position of each image in the port multi-azimuth image data in the port map model. The multi-azimuth port image data are divided according to spatial positions to obtain multiple groups of image data, specifically, the port is divided into grids, each grid corresponds to one group of image data, and each group of image data corresponds to one group of three-dimensional port submodels. The multi-azimuth port image data are obtained through a port monitoring device and an unmanned aerial vehicle aerial photography device. In addition, the three-dimensional harbor model includes a harbor map model, and the three-dimensional harbor model is a BIM-based harbor model.
FIG. 3 shows a flow chart for obtaining a port simulation operation model according to the present invention.
According to the embodiment of the invention, the digital twin-based port simulation operation model is constructed according to the historical operation condition, and the three-dimensional port model and the port simulation operation model are subjected to model combination to obtain an integrated port model, which specifically comprises the following steps:
s302, constructing a port simulation operation model based on a digital twin;
s304, converting the acquired historical operation condition into an operation condition training data set;
s306, importing the training data set into a port simulation operation model for operation simulation training, and obtaining a trained port simulation operation model.
The historical operation condition comprises a plurality of operation data such as a truck transport path, operation time of a port crane, the number of ships berthing and carrying cargo, port handling capacity and the like, a specific training set based on a digital twin model can be generated through the operation data, and a port simulation operation model with operation data prediction capability can be obtained through data set training. According to the invention, the trained port simulation operation model is obtained, and the future operation condition of the port can be accurately predicted, so that the plan analysis of the port is further carried out, the uncertainty caused by depending on manual experience is reduced, and the purpose of improving the port operation efficiency is realized.
According to the embodiment of the invention, the method for constructing the digital twin-based port simulation operation model according to the historical operation condition and combining the three-dimensional port model with the port simulation operation model to obtain the integrated port model further comprises the following steps:
extracting a specific model according to the three-dimensional port model to obtain a crane model, a cargo ship model and a container truck model;
performing data binding on operation prediction data in the port simulation operation model with the crane model, the cargo ship model and the container truck model;
and combining the three-dimensional port model with the port simulation operation model to obtain an integrated port model.
It should be noted that the integrated port model can be displayed through a preset terminal device, and meanwhile, in the present invention, after the operation prediction data in the port simulation operation model is data-bound with the crane model, the cargo ship model, and the truck-mounted device model, the system can further control the changes of the crane model, the cargo ship model, and the truck-mounted device model by obtaining the operation prediction data, so that the operation prediction data can be displayed in a visual integrated model, and a user can more intuitively know the operation condition of the port.
According to the embodiment of the invention, the acquiring of the port business data, the importing of the port business data into the integrated port model for port operation simulation and generation of the port operation plan data and the port pressure prediction data specifically comprise:
carrying out data parameter conversion on cargo order data, cargo planned berthing time and cargo berthing information in the port service data to obtain service data parameter information;
importing the service data parameter information into an integrated port model to carry out port operation simulation to obtain port cargo loading predicted time, truck predicted traffic volume, truck transportation pressure location, cargo loading and unloading pressure location and crane predicted operation time;
carrying out data integration on the port cargo loading predicted time, the truck-collected predicted transport volume, the truck-collected transport pressure place, the cargo loading and unloading pressure place and the crane predicted operation time to obtain port pressure predicted data;
and carrying out port scheduling optimization analysis according to the port pressure prediction data to obtain port operation plan data.
It should be noted that the port service data includes cargo ship order data, cargo ship planned berthing time, cargo ship berthing information, and the like. The port operation plan data comprises port crane planned operation time, a truck collection planned transportation route, a port personnel scheduling plan and the like.
In addition, the invention can obtain accurate prediction data through port business data and an integrated port model, thereby further improving the port operation efficiency and the economic benefit of port operation.
According to the embodiment of the invention, the emergency simulation is carried out according to the port pressure prediction data, emergency simulation plan information is generated, and the information is sent to a preset terminal device, specifically:
analyzing the port operation pressure according to the port pressure prediction data, and combining with an integrated port model to obtain the position of the maximum transportation pressure point and the position of the maximum cargo handling pressure point;
and carrying out emergency route simulation according to the position information of the position of the maximum transportation pressure point and the position of the maximum cargo loading and unloading pressure point in the integrated port model to obtain a plurality of pieces of emergency transportation route information.
It should be noted that, in both the position of the maximum transportation pressure point and the position of the maximum cargo handling pressure point, a plurality of positions of the maximum pressure point may exist. And performing emergency route simulation to obtain a plurality of pieces of emergency transportation route information, specifically, performing obstacle avoidance analysis on the integrated port model according to the positions of the transportation maximum pressure point position and the cargo handling maximum pressure point position in the model to obtain a plurality of feasible routes, and further selecting a relatively efficient route from the plurality of feasible routes as the emergency transportation route information. In addition, in the actual port operation process, if the port congestion situation occurs, the system sends the emergency transportation route information to the preset terminal equipment for displaying.
According to the embodiment of the invention, the emergency simulation is performed according to the port pressure prediction data, emergency simulation plan information is generated, and the information is sent to a preset terminal device, specifically:
carrying out personnel operation scheduling analysis according to port service data to obtain initial personnel allocation information;
carrying out emergency simulation on personnel according to the port pressure prediction data and the initial personnel allocation information to obtain personnel emergency allocation information;
and carrying out information plan integration on the information of the plurality of emergency transportation routes and the emergency personnel distribution information to obtain emergency simulation plan information.
It should be noted that the initial staff allocation information includes staff allocation in different areas of the port. The personnel emergency distribution information is specifically optimized and adjusted according to port pressure prediction data on the basis of initial personnel distribution information. In the emergent distribution information of personnel, specifically for carrying out personnel rational in infrastructure adjustment to the great region of operating pressure in the harbour, personnel's structure includes different operation personnel post and corresponds personnel's quantity.
According to the embodiment of the invention, the method further comprises the following steps:
performing feasible road analysis according to the integrated port model to obtain all feasible line data;
importing the feasible line data into an integrated port model for safety line analysis to obtain a plurality of fire-fighting line data;
importing the data of the plurality of fire-fighting lines, port operation plan data and port pressure prediction data into an integrated port model for avoiding analysis of dangerous places to obtain predicted emergency fire-fighting lines;
and sending the predicted emergency fire-fighting line to a preset terminal device for display.
According to the embodiment of the invention, the method further comprises the following steps:
acquiring container monitoring video data and container internal environment data;
extracting key frames of the video data according to a preset time interval to obtain key image frames;
carrying out image preprocessing and container image identification on the key image frames to obtain container characteristic data;
comparing and analyzing the characteristic data with the reference characteristic data to obtain container transportation appearance change information;
acquiring standard data of a freight transportation environment corresponding to a container, and performing real-time comparative analysis on the standard data of the freight transportation environment and the internal environment data of the container;
if the internal environment data of the container does not conform to the standard data of the cargo transportation environment, generating early warning information of the change of the cargo environment;
and sending the container transportation appearance change information and the cargo environment change early warning information to a preset terminal device for displaying.
It should be noted that the internal environment data of the container includes the temperature, humidity, horizontal inclination, etc. inside the container. Due to different transportation environments required by different cargos, the corresponding cargo transportation environment standard data also have differences. In addition, the container transportation appearance change information comprises appearance changes such as container damage, openings, folds and the like, and if the appearance changes too much in the transportation process, potential transportation safety hazards exist.
According to the embodiment of the invention, the method further comprises the following steps:
constructing a cargo environment standard database;
obtaining historical cargo ship order data, and screening the data according to the order data to obtain standard data of the cargo environment required by the order;
importing the standard data of the goods environment required by the order into a standard database of the goods environment for storage;
acquiring damage record data of the transported goods in the container;
acquiring corresponding actual transportation cargo environment data according to the recorded data;
and if the actual transported cargo environment data is consistent with the corresponding standard data in the cargo environment standard database, changing the corresponding standard data and re-importing the standard data into the database for data coverage to form new standard data.
It should be noted that, if the actual environment data of the transported goods matches the corresponding standard data in the standard database of goods environment, it represents that the environment standard data corresponding to the standard database of goods environment at present has unreasonable environment standard data.
Fig. 4 shows a block diagram of a digital twin-based intelligent harbor PIM platform management system of the present invention.
The second aspect of the invention also provides a digital twin-based intelligent port PIM platform management system 4, which comprises: a memory 41, a processor 42, said memory including a digital twin-based smart PIM platform manager therein, said digital twin-based smart PIM platform manager when executed by said processor performing the steps of:
acquiring multi-directional port image data and a port map model;
building a port model according to the multi-azimuth port image data and the port map model to obtain a three-dimensional port model;
establishing a digital twin-based port simulation operation model according to historical operation conditions, and performing model combination on the three-dimensional port model and the port simulation operation model to obtain an integrated port model;
acquiring port service data, importing the port service data into an integrated port model to perform port operation simulation and generate port operation plan data and port pressure prediction data;
and performing emergency simulation according to the port pressure prediction data, generating emergency simulation plan information, and sending the information to preset terminal equipment.
It should be noted that the preset terminal device includes a computer terminal device and a mobile terminal device.
According to the embodiment of the invention, the port model is built according to the multi-azimuth port image data and the port map model to obtain the three-dimensional port model, and the method specifically comprises the following steps:
dividing the multi-azimuth image data of the port according to spatial positions to obtain a plurality of groups of image data;
carrying out spatial analysis on the multiple groups of image data to obtain multiple groups of three-dimensional port submodels;
and combining the multiple groups of three-dimensional port submodels with the port map model to build a model, so as to obtain a three-dimensional port model.
It should be noted that the spatial position is specifically a relative spatial position of each image in the port multi-azimuth image data in the port map model. The port multi-azimuth image data are divided into a plurality of groups of image data according to spatial positions, the specific division mode is that grids are divided for a port, each grid corresponds to one group of image data, and each group of image data corresponds to one group of three-dimensional port submodels. The multi-azimuth port image data are obtained through a port monitoring device and an unmanned aerial vehicle aerial photography device. In addition, the three-dimensional harbor model includes a harbor map model, and the three-dimensional harbor model is a BIM-based harbor model.
According to the embodiment of the invention, the port simulation operation model based on the digital twin is constructed according to the historical operation condition, and the three-dimensional port model and the port simulation operation model are subjected to model combination to obtain the integrated port model, which specifically comprises the following steps:
constructing a port simulation operation model based on a digital twin;
converting the acquired historical operation condition into an operation condition training data set;
and importing the training data set into a port simulation operation model for operation simulation training, and obtaining the trained port simulation operation model.
The historical operation condition comprises a plurality of operation data such as a truck transport path, operation time of a port crane, the number of ships berthing and carrying cargo, port handling capacity and the like, a specific training set based on a digital twin model can be generated through the operation data, and a port simulation operation model with operation data prediction capability can be obtained through data set training. According to the invention, the trained port simulation operation model is obtained, and the future operation condition of the port can be accurately predicted, so that the plan analysis of the port is further carried out, the uncertainty caused by depending on manual experience is reduced, and the purpose of improving the port operation efficiency is realized.
According to the embodiment of the invention, the method for constructing the digital twin-based port simulation operation model according to the historical operation condition and combining the three-dimensional port model with the port simulation operation model to obtain the integrated port model further comprises the following steps:
extracting a specific model according to the three-dimensional port model to obtain a crane model, a cargo ship model and a container truck model;
performing data binding on operation prediction data in the port simulation operation model with the crane model, the cargo ship model and the container truck model;
and combining the three-dimensional port model with the port simulation operation model to obtain an integrated port model.
It should be noted that the integrated port model can be displayed through a preset terminal device, and in the present invention, after the operation prediction data in the port simulation operation model is data-bound with the crane model, the cargo ship model, and the container truck model, the system can further control the changes of the crane model, the cargo ship model, and the container truck model by obtaining the operation prediction data, so that the operation prediction data can be displayed in a visual integrated model, and a user can more intuitively know the operation condition of the port.
According to the embodiment of the invention, the acquiring of the port business data, the importing of the port business data into the integrated port model for port operation simulation and generation of the port operation plan data and the port pressure prediction data specifically comprise:
carrying out data parameter conversion on cargo order data, cargo planned berthing time and cargo berth information in the port service data to obtain service data parameter information;
importing the service data parameter information into an integrated port model to carry out port operation simulation to obtain port cargo loading predicted time, truck predicted traffic volume, truck transportation pressure location, cargo loading and unloading pressure location and crane predicted operation time;
carrying out data integration on the port cargo loading predicted time, the truck-collected predicted transport volume, the truck-collected transport pressure place, the cargo loading and unloading pressure place and the crane predicted operation time to obtain port pressure predicted data;
and carrying out port scheduling optimization analysis according to the port pressure prediction data to obtain port operation plan data.
It should be noted that the port service data includes cargo order data, cargo planned berthing time, cargo berthing information, and the like. The port operation plan data comprises port crane planned operation time, a truck collection planned transportation route, a port personnel scheduling plan and the like.
In addition, the invention can obtain accurate prediction data through port business data and the integrated port model, thereby further improving the port operation efficiency and the economic benefit of port operation.
According to the embodiment of the invention, the emergency simulation is performed according to the port pressure prediction data, emergency simulation plan information is generated, and the information is sent to a preset terminal device, specifically:
carrying out port operation pressure analysis according to the port pressure prediction data, and combining an integrated port model to obtain a position of a maximum transportation pressure point and a position of a maximum cargo handling pressure point;
and carrying out emergency route simulation according to the position information of the position of the maximum transportation pressure point and the position of the maximum cargo loading and unloading pressure point in the integrated port model to obtain a plurality of pieces of emergency transportation route information.
It should be noted that, in both the transportation maximum pressure point position and the cargo handling maximum pressure point position, a plurality of maximum pressure point positions may exist. And performing emergency route simulation to obtain a plurality of pieces of emergency transportation route information, specifically, performing obstacle avoidance analysis on the integrated port model according to the positions of the transportation maximum pressure point position and the cargo handling maximum pressure point position in the model to obtain a plurality of feasible routes, and further selecting a relatively efficient route from the plurality of feasible routes as the emergency transportation route information. In addition, in the actual port operation process, if the port congestion situation occurs, the system sends the emergency transportation route information to the preset terminal equipment for displaying.
According to the embodiment of the invention, the emergency simulation is performed according to the port pressure prediction data, emergency simulation plan information is generated, and the information is sent to a preset terminal device, specifically:
carrying out personnel operation scheduling analysis according to port service data to obtain initial personnel allocation information;
carrying out personnel emergency simulation by combining the initial personnel distribution information according to the port pressure prediction data to obtain personnel emergency distribution information;
and carrying out information plan integration on the information of the plurality of emergency transportation routes and the emergency personnel distribution information to obtain emergency simulation plan information.
It should be noted that the initial staff allocation information includes staff allocation in different areas of the port. The personnel emergency distribution information is specifically optimized and adjusted according to port pressure prediction data on the basis of initial personnel distribution information. In the emergent distribution information of personnel, specifically for carrying out personnel rational in infrastructure adjustment to the great region of operating pressure in the harbour, personnel's structure includes different operation personnel post and corresponds personnel's quantity.
According to the embodiment of the invention, the method further comprises the following steps:
performing feasible road analysis according to the integrated port model to obtain all feasible line data;
importing the feasible line data into an integrated port model for safety line analysis to obtain a plurality of fire-fighting line data;
importing the data of the plurality of fire-fighting lines, port operation plan data and port pressure prediction data into an integrated port model for avoiding analysis of dangerous places to obtain predicted emergency fire-fighting lines;
and sending the predicted emergency fire-fighting line to a preset terminal device for display.
The invention discloses a digital twin-based intelligent port PIM platform management method and a digital twin-based intelligent port PIM platform management system. The invention avoids the inefficiency brought by carrying out port operation analysis by depending on manual experience, effectively improves the port operation efficiency and realizes the purpose of improving the port economic benefit.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think of the changes or substitutions within the technical scope of the present invention, and shall cover the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. A digital twin-based intelligent port PIM platform management method is characterized by comprising the following steps:
acquiring multi-directional port image data and a port map model;
building a port model according to the multi-azimuth port image data and the port map model to obtain a three-dimensional port model;
establishing a digital twin-based port simulation operation model according to historical operation conditions, and performing model combination on the three-dimensional port model and the port simulation operation model to obtain an integrated port model;
acquiring port service data, importing the port service data into an integrated port model to perform port operation simulation and generate port operation plan data and port pressure prediction data;
and performing emergency simulation according to the port pressure prediction data, generating emergency simulation plan information, and sending the emergency simulation plan information to preset terminal equipment.
2. The intelligent port PIM platform management method based on the digital twin as claimed in claim 1, wherein the port model building is performed according to the multi-azimuth port image data and the port map model to obtain a three-dimensional port model, specifically:
dividing the multi-azimuth image data of the port according to spatial positions to obtain a plurality of groups of image data;
carrying out spatial analysis on the multiple groups of image data to obtain multiple groups of three-dimensional port submodels;
and combining the multiple groups of three-dimensional port submodels with the port map model to build a model, so as to obtain a three-dimensional port model.
3. The intelligent port PIM platform management method based on digital twin as claimed in claim 1, wherein the port simulation operation model based on digital twin is constructed according to historical operation conditions, and the integrated port model is obtained by combining a three-dimensional port model and the port simulation operation model, specifically:
constructing a port simulation operation model based on a digital twin;
converting the acquired historical operation condition into an operation condition training data set;
and importing the operation condition training data set into a port simulation operation model for operation simulation training, and obtaining a trained port simulation operation model.
4. The intelligent port PIM platform management method based on the digital twin as claimed in claim 1, wherein the port simulation operation model based on the digital twin is constructed according to the historical operation condition, and the integrated port model is obtained by combining the three-dimensional port model and the port simulation operation model, further comprising:
extracting a specific model according to the three-dimensional port model to obtain a crane model, a cargo ship model and a container truck model;
carrying out data binding on operation prediction data in the port simulation operation model, the crane model, the cargo ship model and the container truck model;
and combining the three-dimensional port model with the port simulation operation model to obtain an integrated port model.
5. The intelligent PIM platform management method as claimed in claim 1, wherein the port service data is obtained, imported into an integrated port model for port operation simulation and generating port operation plan data and port pressure prediction data, specifically:
carrying out data parameter conversion on cargo order data, cargo planned berthing time and cargo berth information in the port service data to obtain service data parameter information;
importing the service data parameter information into an integrated port model to carry out port operation simulation to obtain port cargo loading predicted time, truck predicted traffic volume, truck transportation pressure location, cargo loading and unloading pressure location and crane predicted operation time;
carrying out data integration on the port cargo loading predicted time, the container truck predicted transport volume, the container truck transport pressure place, the cargo loading and unloading pressure place and the crane predicted operation time to obtain port pressure predicted data;
and carrying out port scheduling optimization analysis according to the port pressure prediction data to obtain port operation plan data.
6. The intelligent PIM platform management method based on digital twin as claimed in claim 1, wherein the emergency simulation is performed according to the port pressure prediction data, emergency simulation plan information is generated, and the emergency simulation plan information is sent to a preset terminal device, specifically:
analyzing the port operation pressure according to the port pressure prediction data, and combining with an integrated port model to obtain the position of the maximum transportation pressure point and the position of the maximum cargo handling pressure point;
and performing emergency route simulation according to the position information of the position of the maximum transportation pressure point and the position of the maximum cargo loading and unloading pressure point in the integrated port model to obtain a plurality of pieces of emergency transportation route information.
7. The intelligent management method for the PIM platform based on the digital twin as claimed in claim 1, wherein the emergency simulation is performed according to the port pressure prediction data to generate emergency simulation plan information, and the emergency simulation plan information is sent to a preset terminal device, specifically:
carrying out personnel operation scheduling analysis according to port service data to obtain initial personnel allocation information;
carrying out personnel emergency simulation by combining the initial personnel distribution information according to the port pressure prediction data to obtain personnel emergency distribution information;
and carrying out information plan integration on the information of the plurality of emergency transportation routes and the emergency personnel distribution information to obtain emergency simulation plan information.
8. A intelligent port PIM platform management system based on digital twinning is characterized in that the system comprises: the intelligent digital twin-based port PIM platform management program comprises a memory and a processor, wherein the intelligent digital twin-based port PIM platform management program realizes the following steps when being executed by the processor:
acquiring multi-azimuth port image data and a port map model;
building a port model according to the port multi-azimuth image data and the port map model to obtain a three-dimensional port model;
establishing a digital twin-based port simulation operation model according to historical operation conditions, and performing model combination on the three-dimensional port model and the port simulation operation model to obtain an integrated port model;
acquiring port service data, importing the port service data into an integrated port model to perform port operation simulation and generate port operation plan data and port pressure prediction data;
and performing emergency simulation according to the port pressure prediction data, generating emergency simulation plan information, and sending the emergency simulation plan information to a preset terminal device.
9. The intelligent PIM platform management system for harbors based on digital twin as claimed in claim 8, wherein the harbor model is built according to the harbor multi-azimuth image data and harbor map model to obtain a three-dimensional harbor model, specifically:
dividing the multi-azimuth image data of the port according to spatial positions to obtain a plurality of groups of image data;
carrying out spatial analysis on the multiple groups of image data to obtain multiple groups of three-dimensional port submodels;
and combining the multiple groups of three-dimensional port submodels with the port map model to build a model, so as to obtain a three-dimensional port model.
10. The intelligent port PIM platform management system based on the digital twin as claimed in claim 8, wherein the port simulation operation model based on the digital twin is constructed according to the historical operation condition, and the integrated port model is obtained by model combination of the three-dimensional port model and the port simulation operation model, specifically:
constructing a port simulation operation model based on a digital twin;
converting the acquired historical operation condition into an operation condition training data set;
and importing the operation condition training data set into a port simulation operation model for operation simulation training, and obtaining a trained port simulation operation model.
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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116051004A (en) * 2023-03-27 2023-05-02 深圳市宏大供应链服务有限公司 Intelligent management method, system and medium based on big data
CN117151417A (en) * 2023-09-22 2023-12-01 交通运输部水运科学研究所 Port operation management method, system and storage medium based on digital twin
CN117455324A (en) * 2023-11-08 2024-01-26 交通运输部水运科学研究所 Large port operation management method and system based on physical model
CN117634926A (en) * 2023-12-08 2024-03-01 交通运输部水运科学研究所 Comprehensive port operation prediction method and system based on big data analysis
CN117787951A (en) * 2023-12-26 2024-03-29 中数科技(青岛)有限公司 Port operation digital twin data processing system and method based on deep learning

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080260467A1 (en) * 2007-04-20 2008-10-23 Kroecker Stephan V Maritime Port and Anti-Terrorist Data Gateway With Ingress and Egress Control
CN109523161A (en) * 2018-11-16 2019-03-26 大连大学 Harbour operation management system based on technology of Internet of things
CN110147069A (en) * 2019-04-28 2019-08-20 武汉理工大学 A kind of the harbour real-time monitoring system and its working method twin based on number
WO2021152205A1 (en) * 2020-01-28 2021-08-05 Awake.Ai Oy System for guiding vessel to port and method therefor
CN113837692A (en) * 2021-09-23 2021-12-24 广州智湾科技有限公司 Intelligent scheduling decision method and decision system for vehicles in port operation field
CN114861956A (en) * 2022-07-04 2022-08-05 深圳市大树人工智能科技有限公司 Intelligent port integrated management system
CN114997773A (en) * 2022-05-09 2022-09-02 江苏智赢信息科技有限公司 Harbor dangerous cargo safety dynamic refined supervision system

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080260467A1 (en) * 2007-04-20 2008-10-23 Kroecker Stephan V Maritime Port and Anti-Terrorist Data Gateway With Ingress and Egress Control
CN109523161A (en) * 2018-11-16 2019-03-26 大连大学 Harbour operation management system based on technology of Internet of things
CN110147069A (en) * 2019-04-28 2019-08-20 武汉理工大学 A kind of the harbour real-time monitoring system and its working method twin based on number
WO2021152205A1 (en) * 2020-01-28 2021-08-05 Awake.Ai Oy System for guiding vessel to port and method therefor
CN113837692A (en) * 2021-09-23 2021-12-24 广州智湾科技有限公司 Intelligent scheduling decision method and decision system for vehicles in port operation field
CN114997773A (en) * 2022-05-09 2022-09-02 江苏智赢信息科技有限公司 Harbor dangerous cargo safety dynamic refined supervision system
CN114861956A (en) * 2022-07-04 2022-08-05 深圳市大树人工智能科技有限公司 Intelligent port integrated management system

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116051004A (en) * 2023-03-27 2023-05-02 深圳市宏大供应链服务有限公司 Intelligent management method, system and medium based on big data
CN117151417A (en) * 2023-09-22 2023-12-01 交通运输部水运科学研究所 Port operation management method, system and storage medium based on digital twin
CN117151417B (en) * 2023-09-22 2024-03-12 交通运输部水运科学研究所 Port operation management method, system and storage medium based on digital twin
CN117455324A (en) * 2023-11-08 2024-01-26 交通运输部水运科学研究所 Large port operation management method and system based on physical model
CN117455324B (en) * 2023-11-08 2024-04-19 交通运输部水运科学研究所 Large port operation management method and system based on physical model
CN117634926A (en) * 2023-12-08 2024-03-01 交通运输部水运科学研究所 Comprehensive port operation prediction method and system based on big data analysis
CN117634926B (en) * 2023-12-08 2024-06-04 交通运输部水运科学研究所 Comprehensive port operation prediction method and system based on big data analysis
CN117787951A (en) * 2023-12-26 2024-03-29 中数科技(青岛)有限公司 Port operation digital twin data processing system and method based on deep learning

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