CN115577995B - 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 PDFInfo
- Publication number
- CN115577995B CN115577995B CN202211575758.9A CN202211575758A CN115577995B CN 115577995 B CN115577995 B CN 115577995B CN 202211575758 A CN202211575758 A CN 202211575758A CN 115577995 B CN115577995 B CN 115577995B
- Authority
- CN
- China
- Prior art keywords
- port
- data
- model
- simulation
- cargo
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
- G06Q10/06375—Prediction of business process outcome or impact based on a proposed change
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- General Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Theoretical Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Marketing (AREA)
- Computer Graphics (AREA)
- Geometry (AREA)
- Software Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
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
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, the problems of low informatization degree, difficult data communication, difficult information sharing and the like generally exist in the construction, operation and management of ports and wharfs, so that the complexity of operation and management of the ports and the wharfs is high, the difficulty of management and operation is high, and the 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 digital twin-based intelligent port PIM platform management method and system.
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, a digital twin-based port simulation operation model is constructed according to historical operation conditions, and a three-dimensional port model and the port simulation operation model are subjected to model combination to obtain an integrated port model, specifically comprising 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.
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 the 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;
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.
In this scheme, the acquiring port business data, importing the port business data into an integrated port model to perform port operation simulation and generate port operation plan data and port pressure prediction data specifically includes:
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.
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:
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, 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:
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.
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 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 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, a digital twin-based port simulation operation model is constructed according to historical operation conditions, and a three-dimensional port model and the port simulation operation model are subjected to model combination to obtain an integrated port model, specifically comprising 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 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 port 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, taken in conjunction with the accompanying drawings and detailed description, is set forth below. 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 harbor PIM platform management method, including:
s102, acquiring multi-directional image data and a port map model of a port;
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 invention for obtaining a 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 the model so as to obtain 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 image data of the port are obtained through a port monitoring device and an unmanned aerial vehicle aerial photographing 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 of the invention for obtaining a port simulation operation 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:
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.
It should be noted that the historical operation conditions include a plurality of operation data such as a truck transportation distance, operation time of a port crane, the number of ships berthing and carrying cargo, port throughput 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 and 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 step of acquiring the 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 comprises the following specific 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 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 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:
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 transportation maximum pressure point position and the cargo handling maximum pressure point position, a plurality of maximum pressure point positions may exist. The emergency route simulation is carried out to obtain a plurality of pieces of emergency transportation route information, specifically, the integrated port model carries out obstacle avoidance analysis according to the positions of the maximum transportation pressure point position and the maximum cargo handling pressure point position in the model to obtain a plurality of feasible routes, and a more efficient route is further selected 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:
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.
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 environmental data inside the container includes the temperature, humidity, horizontal inclination, etc. inside the container. Due to the different transportation environments required by different cargos, the corresponding standard data of the cargo transportation environment are different. 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 container transported goods;
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 port 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 intelligent PIM platform management program, said digital twin based intelligent PIM platform management program when executed by said processor implementing the steps of:
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.
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 harbor model is built according to the harbor multi-azimuth image data and the harbor map model to obtain the three-dimensional harbor 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 image data of the port are obtained through a port monitoring device and an unmanned aerial vehicle aerial photographing 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 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:
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 and 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-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 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.
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 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:
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 transportation maximum pressure point position and the cargo handling maximum pressure point position, a plurality of maximum pressure point positions may exist. The emergency route simulation is carried out to obtain a plurality of pieces of emergency transportation route information, specifically, the integrated port model carries out obstacle avoidance analysis according to the positions of the maximum transportation pressure point position and the maximum cargo handling pressure point position in the model to obtain a plurality of feasible routes, and a more efficient route is further selected 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 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:
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 personnel emergency distribution information, the personnel structure is reasonably adjusted in a region with higher operation pressure in a port, and the personnel structure comprises different operator posts and the number of corresponding personnel.
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 danger site evasion analysis to obtain a predicted emergency fire-fighting line;
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 in 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 the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit may be implemented in the form of hardware, or in the 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 conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. A digital twin-based intelligent port PIM platform management method is characterized by comprising 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;
constructing a port simulation operation model based on a digital twin 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;
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;
wherein the management method further comprises:
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 danger site evasion analysis to obtain a predicted emergency fire-fighting line;
sending the predicted emergency fire-fighting line to a preset terminal device for display;
wherein the management method further comprises:
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;
sending the container transportation appearance change information and the cargo environment change early warning information to a preset terminal device for displaying;
wherein the management method further comprises:
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.
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 the trained port simulation operation model.
4. The intelligent 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 model combination of a 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 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.
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 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.
7. 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:
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 digital twin-based intelligent port PIM platform management system is characterized by comprising: the intelligent port PIM platform management program based on the digital twin is arranged in the storage, and when the intelligent port PIM platform management program based on the digital twin is executed by the processor, the following steps are realized:
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;
constructing a port simulation operation model based on a digital twin 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;
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;
wherein the management system further comprises:
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 danger site evasion analysis to obtain a predicted emergency fire-fighting line;
sending the predicted emergency fire-fighting line to a preset terminal device for display;
wherein the management system further comprises:
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 comparison analysis on the standard data of the freight transportation environment and 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;
sending the container transportation appearance change information and the cargo environment change early warning information to a preset terminal device for displaying;
wherein the management system further comprises:
constructing a cargo environment standard database;
obtaining historical cargo ship order data, and performing data screening 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 container transported goods;
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.
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 PIM platform management system as claimed in claim 8, wherein the port simulation operation model based on the digital twin is constructed according to historical operation conditions, and the integrated port model is obtained by model combination of 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.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211575758.9A CN115577995B (en) | 2022-12-09 | 2022-12-09 | Intelligent port PIM platform management method and system based on digital twin |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211575758.9A CN115577995B (en) | 2022-12-09 | 2022-12-09 | Intelligent port PIM platform management method and system based on digital twin |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115577995A CN115577995A (en) | 2023-01-06 |
| CN115577995B true CN115577995B (en) | 2023-04-07 |
Family
ID=84590375
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211575758.9A Active CN115577995B (en) | 2022-12-09 | 2022-12-09 | Intelligent port PIM platform management method and system based on digital twin |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115577995B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116051004B (en) * | 2023-03-27 | 2023-06-13 | 深圳市宏大供应链服务有限公司 | Intelligent management method, system and medium based on big data |
| 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 |
| 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 |
| 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 (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
Family Cites Families (6)
| 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 |
| CN110147069B (en) * | 2019-04-28 | 2022-04-12 | 武汉理工大学 | Working method of port real-time monitoring system based on digital twin |
| FI20205082A1 (en) * | 2020-01-28 | 2021-07-29 | Awake Ai Oy | System for guiding vessel to port and method therefor |
| CN113837692B (en) * | 2021-09-23 | 2023-10-03 | 广州智湾科技有限公司 | Intelligent scheduling decision method and decision system for port operation site vehicles |
| 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 |
-
2022
- 2022-12-09 CN CN202211575758.9A patent/CN115577995B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115577995A (en) | 2023-01-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115577995B (en) | Intelligent port PIM platform management method and system based on digital twin | |
| CN106251578B (en) | Stream of people's early warning analysis method and system based on probe | |
| Chowdhury et al. | Drone routing and optimization for post-disaster inspection | |
| CN201986073U (en) | Remote monitoring system for vehicles of logistics enterprises | |
| CN107480918A (en) | Port transport cloud management system and method for servicing based on international road transport | |
| CN105427221A (en) | Cloud platform-based police affair management method | |
| CN103116917B (en) | A kind of public transport intelligent parking field control method based on GPS | |
| CN111178598A (en) | Passenger flow prediction method and system for railway passenger station, electronic device and storage medium | |
| CN107665578A (en) | Management and control system and method is integrated based on the traffic that big data is studied and judged | |
| CN114861956B (en) | Intelligent port integrated management system | |
| CN110189070B (en) | Intelligent logistics Internet of things system | |
| CN206610441U (en) | A kind of intelligent harmful influence vehicle region turnover monitoring system | |
| CN110097740A (en) | A kind of earthquake pre-warning emergency action method and information centre | |
| CN107985350A (en) | A kind of inter-linked controlling method and correlating center at Metro Network center | |
| CN105160881A (en) | Traffic monitoring system and method | |
| CN112541684A (en) | BIM-based emergency dispatching command method, system, computer equipment and readable medium | |
| Kabanov et al. | An analysis of the use and difficulties in introducing information technology and information systems in transport and the transport infrastructure | |
| CN115456474A (en) | Port operation scheduling method and system based on artificial intelligence | |
| CN114180365A (en) | Full-automatic wharf operation management system for loading and unloading along shore | |
| CN113822576A (en) | Intelligent port scheduling system | |
| CN117151417A (en) | Port operation management method, system and storage medium based on digital twin | |
| CN109359151B (en) | Ship body segmented logistics big data visualization platform | |
| CN109451273A (en) | A kind of commanding dispatching system and method | |
| CN109817024B (en) | Coastal power plant ship traffic scheduling management system | |
| CN110163168B (en) | Wiring-free platform vehicle identification system and method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |