CN116502782B - Dynamic management method and system for entering and exiting ports of fishing port ships based on geographic information system - Google Patents

Dynamic management method and system for entering and exiting ports of fishing port ships based on geographic information system Download PDF

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CN116502782B
CN116502782B CN202310754804.XA CN202310754804A CN116502782B CN 116502782 B CN116502782 B CN 116502782B CN 202310754804 A CN202310754804 A CN 202310754804A CN 116502782 B CN116502782 B CN 116502782B
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information
port
image data
arrival
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CN116502782A (en
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明俊超
钟舒童
林彦
张磊
毕洁婷
王宇
廖祖军
周艳波
吴洽儿
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South China Sea Fisheries Research Institute Chinese Academy Fishery Sciences
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South China Sea Fisheries Research Institute Chinese Academy Fishery Sciences
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Abstract

The invention discloses a dynamic management method and a system for the entering and exiting of a fishing port ship based on a geographic information system, which are characterized in that GIS-based image data in a target port are obtained in real time, and a GIS-based fishing port map model is constructed according to the image data; the method comprises the steps of obtaining ship parameter information and ship arrival and departure plan information, guiding the ship parameter information and the ship arrival and departure plan information into a fishing port map model for carrying out ship optimal route analysis, obtaining ship arrival and departure route information, obtaining ship position information in real time, carrying out real-time analysis on the ship position information based on the ship arrival and departure route information, generating early warning information, and sending the early warning information to ship terminal equipment. The invention can effectively improve the port entering and exiting efficiency of the ship and improve the management efficiency of the ship.

Description

Dynamic management method and system for entering and exiting ports of fishing port ships based on geographic information system
Technical Field
The invention relates to the field of geographic information systems, in particular to a dynamic management method and a system for the entrance and the exit of a fishing port ship based on a geographic information system.
Background
GIS (geographic information system) is a technical system for collecting, storing, managing, calculating, analyzing, displaying and describing related geographic distribution data in the whole or part of the earth surface (including atmosphere) space under the support of computer hardware and software systems. The geographic features of the corresponding areas can be further depicted by using the computer through the GIS related technology, so that the method has a high technical prospect in the application of the method to the ship management of the fishing harbor.
In the current fishing port operation process, due to low informatization degree, technical lag and other reasons, in the management of the ships entering and exiting the fishing port, the situations of multiple ship blockage, unsmooth navigation channel, multiple port barriers and the like often occur, and if the management is performed through manual experience, the process is time-consuming and labor-consuming, so that the dynamic management method for the entering and exiting of the fishing port ships based on the geographic information system is urgently needed at present, and the aims of effectively improving the entering and exiting efficiency of the ships and improving the management efficiency of the ships are fulfilled.
Disclosure of Invention
The invention overcomes the defects of the prior art and provides a dynamic management method and a system for the entrance and exit of a fishing port ship based on a geographic information system.
The first aspect of the invention provides a dynamic management method for the entrance and exit of a fishing port ship based on a geographic information system, which comprises the following steps:
Acquiring GIS-based image data in a target port in real time;
constructing a fishing port map model based on GIS according to the image data;
acquiring ship parameter information and ship arrival and departure plan information;
the ship parameter information and the ship arrival/departure plan information are imported into a fishing port map model to analyze the optimal route of the ship, so that the ship arrival/departure route information is obtained;
acquiring ship position information in real time, analyzing the ship position information in real time based on the ship arrival/departure route information, generating early warning information, and transmitting the early warning information to ship terminal equipment;
the method for constructing the fishing port map model based on the GIS according to the image data comprises the following steps:
acquiring preset ship image data;
carrying out noise reduction and image enhancement pretreatment on the preset ship image data, and extracting outline features and color features of the pretreated ship image data to obtain comparison ship outline features and comparison ship color features;
acquiring preprocessing port image data, and carrying out object identification and object feature extraction on the preprocessing port image data to obtain object image features of a plurality of objects;
performing feature similarity calculation analysis on the object image features and the comparison ship outline features and the comparison ship color features to obtain feature similarity of a plurality of objects;
Marking an object corresponding to the characteristic similarity larger than the preset similarity as a ship object;
according to the identified ship object, carrying out model retrieval from a ship model database, and marking the retrieval result model as a retrieval ship model;
the method comprises the steps of guiding a search ship model into a fishing port map model;
acquiring first fishing port video data in real time in a preset period;
performing multi-angle key frame extraction on the first fishing port video data to obtain key image data;
the key image data includes image data for a plurality of video angles;
performing conversion, noise reduction and enhancement pretreatment according to the key image data, and performing fishing port entrance and exit image area analysis on the pretreated key image data to extract an entrance and exit image area;
carrying out object recognition on the images in the image areas of the access opening, and if other objects except the preset object are recognized, marking the corresponding object areas as obstacle areas;
analyzing the obstacle area based on multiple angles and constructing a first obstacle model in real time;
introducing the first obstacle model into a fishing port map model;
acquiring second fishing port video data in real time in the next preset period, performing secondary analysis on fishing port barriers according to the second fishing port video data, and acquiring a second barrier model;
Introducing the second obstacle model into a fishing port map model;
the method comprises the steps of acquiring ship position information in real time, analyzing the ship position information in real time based on ship arrival and departure route information, generating early warning information, and sending the early warning information to ship terminal equipment, wherein the method comprises the following specific steps:
acquiring first position information of a target ship in real time through a GPS;
acquiring the arrival time of a target ship according to the arrival and departure plan information of the ship;
acquiring video data of a target ship in real time according to the port entering time of the target ship;
performing multi-angle key frame extraction based on the target ship video data to obtain ship key image data;
carrying out ship position identification on the ship key image data, determining the ship position based on the multi-angle image data, and obtaining second position information;
the method comprises the steps of acquiring ship position information in real time, analyzing the ship position information in real time based on the ship arrival and departure route information, generating early warning information, and sending the early warning information to ship terminal equipment, and further comprises the following steps:
comparing and analyzing the position deviation degree of the first position information and the second position information;
if the deviation degree is smaller than the preset deviation degree, the first position information is used as the current ship position, and if the deviation degree is larger than the preset deviation degree, the second position information is used as the current ship position;
The current ship position and the ship arrival and departure route information are compared and analyzed in real time, and route deviation degree is obtained;
judging whether the route deviation degree is larger than a preset deviation degree, and if so, generating route deviation early warning information in real time;
calculating the berthing time of the target ship in real time according to the current ship position, and generating berthing early warning information if the berthing time is longer than the preset time;
the route deviation early warning information and the berthing early warning information are sent to target ship preset terminal equipment for display;
if the parking time is greater than the preset time, generating parking early warning information, and further comprising:
acquiring fishing data when a target ship enters a port;
acquiring ship parameter information and personnel information of a target ship;
carrying out loading and unloading time prediction calculation on the target ship according to the fishing data, the ship parameter information and the personnel information to obtain a prediction time range;
acquiring the frequency of the arrival and departure of the ships at the current fishing port according to the ship arrival and departure plan information, and the number of the ships at the arrival and departure;
according to the ship arrival and departure frequency, calculating and analyzing the number of ships at the arrival and departure to obtain a predicted congestion index of the fishing port;
determining a preset time from a prediction time range based on a prediction congestion index of the fishing port;
The magnitude of the predicted congestion index of the fishing port is positively correlated with the frequency of arrival and departure of the ships and the number of the ships in the arrival and departure, and the larger the predicted congestion index of the fishing port is, the smaller the determined preset time is.
In this scheme, the real-time acquisition target harbour is based on GIS's image data, specifically is:
acquiring the position information of a target port;
intercepting corresponding port image data based on GIS according to the position information of the target port;
transforming and denoising preprocessing the port image data to obtain preprocessed port image data;
performing color feature extraction on the preprocessed harbor image data to obtain harbor color feature data;
carrying out port contour recognition on the basis of port color characteristic data to obtain port contour information;
and constructing a fishing port map model based on the fishing port contour information.
In this scheme, the guiding the ship parameter information and the ship arrival/departure planning information into the fishing port map model to analyze the optimal route of the ship, and obtaining the ship arrival/departure route information specifically includes:
acquiring ship parameter information of a target ship;
generating a target ship model based on the ship parameter information;
the target ship model and the ship arrival and departure plan information are imported into a fishing port map model;
The fishing port map model carries out ship arrival/departure route simulation according to the target ship model, and analyzes optimal ship berthing information, arrival/departure route information and departure route information based on feasibility and safety;
and integrating the information of the berthing information, the port entering route information and the port exiting route information of the ship to obtain the port entering route information of the ship.
The second aspect of the invention also provides a dynamic management system for the entrance and exit of a fishing port ship based on a geographic information system, which comprises: the system comprises a memory and a processor, wherein the memory comprises a dynamic management program for the arrival and departure of the fishing port ships based on a geographic information system, and the dynamic management program for the arrival and departure of the fishing port ships based on the geographic information system realizes the following steps when being executed by the processor:
acquiring GIS-based image data in a target port in real time;
constructing a fishing port map model based on GIS according to the image data;
acquiring ship parameter information and ship arrival and departure plan information;
the ship parameter information and the ship arrival/departure plan information are imported into a fishing port map model to analyze the optimal route of the ship, so that the ship arrival/departure route information is obtained;
acquiring ship position information in real time, analyzing the ship position information in real time based on the ship arrival/departure route information, generating early warning information, and transmitting the early warning information to ship terminal equipment;
The method for constructing the fishing port map model based on the GIS according to the image data comprises the following steps:
acquiring preset ship image data;
carrying out noise reduction and image enhancement pretreatment on the preset ship image data, and extracting outline features and color features of the pretreated ship image data to obtain comparison ship outline features and comparison ship color features;
acquiring preprocessing port image data, and carrying out object identification and object feature extraction on the preprocessing port image data to obtain object image features of a plurality of objects;
performing feature similarity calculation analysis on the object image features and the comparison ship outline features and the comparison ship color features to obtain feature similarity of a plurality of objects;
marking an object corresponding to the characteristic similarity larger than the preset similarity as a ship object;
according to the identified ship object, carrying out model retrieval from a ship model database, and marking the retrieval result model as a retrieval ship model;
the method comprises the steps of guiding a search ship model into a fishing port map model;
acquiring first fishing port video data in real time in a preset period;
performing multi-angle key frame extraction on the first fishing port video data to obtain key image data;
The key image data includes image data for a plurality of video angles;
performing conversion, noise reduction and enhancement pretreatment according to the key image data, and performing fishing port entrance and exit image area analysis on the pretreated key image data to extract an entrance and exit image area;
carrying out object recognition on the images in the image areas of the access opening, and if other objects except the preset object are recognized, marking the corresponding object areas as obstacle areas;
analyzing the obstacle area based on multiple angles and constructing a first obstacle model in real time;
introducing the first obstacle model into a fishing port map model;
acquiring second fishing port video data in real time in the next preset period, performing secondary analysis on fishing port barriers according to the second fishing port video data, and acquiring a second barrier model;
introducing the second obstacle model into a fishing port map model;
the method comprises the steps of acquiring ship position information in real time, analyzing the ship position information in real time based on ship arrival and departure route information, generating early warning information, and sending the early warning information to ship terminal equipment, wherein the method comprises the following specific steps:
acquiring first position information of a target ship in real time through a GPS;
Acquiring the arrival time of a target ship according to the arrival and departure plan information of the ship;
acquiring video data of a target ship in real time according to the port entering time of the target ship;
performing multi-angle key frame extraction based on the target ship video data to obtain ship key image data;
carrying out ship position identification on the ship key image data, determining the ship position based on the multi-angle image data, and obtaining second position information;
the method comprises the steps of acquiring ship position information in real time, analyzing the ship position information in real time based on the ship arrival and departure route information, generating early warning information, and sending the early warning information to ship terminal equipment, and further comprises the following steps:
comparing and analyzing the position deviation degree of the first position information and the second position information;
if the deviation degree is smaller than the preset deviation degree, the first position information is used as the current ship position, and if the deviation degree is larger than the preset deviation degree, the second position information is used as the current ship position;
the current ship position and the ship arrival and departure route information are compared and analyzed in real time, and route deviation degree is obtained;
judging whether the route deviation degree is larger than a preset deviation degree, and if so, generating route deviation early warning information in real time;
Calculating the berthing time of the target ship in real time according to the current ship position, and generating berthing early warning information if the berthing time is longer than the preset time;
the route deviation early warning information and the berthing early warning information are sent to target ship preset terminal equipment for display;
if the parking time is greater than the preset time, generating parking early warning information, and further comprising:
acquiring fishing data when a target ship enters a port;
acquiring ship parameter information and personnel information of a target ship;
carrying out loading and unloading time prediction calculation on the target ship according to the fishing data, the ship parameter information and the personnel information to obtain a prediction time range;
acquiring the frequency of the arrival and departure of the ships at the current fishing port according to the ship arrival and departure plan information, and the number of the ships at the arrival and departure;
according to the ship arrival and departure frequency, calculating and analyzing the number of ships at the arrival and departure to obtain a predicted congestion index of the fishing port;
determining a preset time from a prediction time range based on a prediction congestion index of the fishing port;
the magnitude of the predicted congestion index of the fishing port is positively correlated with the frequency of arrival and departure of the ships and the number of the ships in the arrival and departure, and the larger the predicted congestion index of the fishing port is, the smaller the determined preset time is.
In this scheme, the real-time acquisition target harbour is based on GIS's image data, specifically is:
acquiring the position information of a target port;
intercepting corresponding port image data based on GIS according to the position information of the target port;
transforming and denoising preprocessing the port image data to obtain preprocessed port image data;
performing color feature extraction on the preprocessed harbor image data to obtain harbor color feature data;
carrying out port contour recognition on the basis of port color characteristic data to obtain port contour information;
and constructing a fishing port map model based on the fishing port contour information.
The invention discloses a dynamic management method and a system for the entering and exiting of a fishing port ship based on a geographic information system, which are characterized in that GIS-based image data in a target port are obtained in real time, and a GIS-based fishing port map model is constructed according to the image data; the method comprises the steps of obtaining ship parameter information and ship arrival and departure plan information, guiding the ship parameter information and the ship arrival and departure plan information into a fishing port map model for carrying out ship optimal route analysis, obtaining ship arrival and departure route information, obtaining ship position information in real time, carrying out real-time analysis on the ship position information based on the ship arrival and departure route information, generating early warning information, and sending the early warning information to ship terminal equipment. The invention can effectively improve the port entering and exiting efficiency of the ship and improve the management efficiency of the ship.
Drawings
FIG. 1 shows a flow chart of a dynamic management method for the arrival and departure of a fishing port ship based on a geographic information system;
FIG. 2 shows a flow chart of the invention for constructing a fishing port map model;
FIG. 3 shows a flow chart of the present invention for obtaining the information of the arrival and departure routes of the ship;
fig. 4 shows a block diagram of a dynamic management system for the arrival and departure of a fishing port vessel based on a geographic information system according to the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments may be combined with each other.
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 described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
FIG. 1 shows a flow chart of a dynamic management method for the entrance and exit of a fishing port ship based on a geographic information system.
As shown in fig. 1, the first aspect of the present invention provides a dynamic management method for entering and exiting a fishing port ship based on a geographic information system, comprising:
S102, acquiring GIS-based image data in a target port in real time;
s104, constructing a fishing port map model based on GIS according to the image data;
s106, acquiring ship parameter information and ship arrival and departure plan information;
s108, the ship parameter information and the ship arrival/departure plan information are imported into a fishing port map model to conduct ship optimal route analysis, and ship arrival/departure route information is obtained;
s110, acquiring ship position information in real time, analyzing the ship position information in real time based on the ship arrival and departure route information, generating early warning information, and sending the early warning information to ship terminal equipment.
FIG. 2 shows a flow chart of the invention for constructing a fishing port map model.
According to the embodiment of the invention, the real-time acquisition of the GIS-based image data in the target port is specifically as follows:
s202, acquiring position information of a target port;
s204, intercepting corresponding port image data based on GIS according to the position information of the target port;
s206, transforming and denoising preprocessing the port image data to obtain preprocessed port image data;
s208, performing color feature extraction on the preprocessed harbor image data to obtain harbor color feature data;
S210, carrying out fishing port contour recognition based on port color characteristic data to obtain fishing port contour information;
s212, constructing a fishing port map model based on fishing port contour information.
It should be noted that the fishing port map model is specifically a three-dimensional map model. The fishing port contour information comprises sea surface contour, bank contour, wharf berthing floating body contour information and the like of the fishing port, and the sea surface and the bank have clear color characteristic distinction, so that the invention extracts the corresponding contour through the color characteristic and further constructs a fishing port map model through the contour information. According to the position information of the target port, corresponding port image data are intercepted based on GIS, the port image data are specifically remote sensing image data based on GIS, and accurate and rapid identification and analysis of subsequent port maps and objects can be realized through the remote sensing image data. In addition, by analyzing the harbor image data to construct a harbor map model, the rapid construction of the harbor map can be performed from a macroscopic level.
According to the embodiment of the invention, the construction of the fishing port map model based on the GIS according to the image data comprises the following specific steps:
acquiring preset ship image data;
Carrying out noise reduction and image enhancement pretreatment on the preset ship image data, and extracting outline features and color features of the pretreated ship image data to obtain comparison ship outline features and comparison ship color features;
acquiring preprocessing port image data, and carrying out object identification and object feature extraction on the preprocessing port image data to obtain object image features of a plurality of objects;
performing feature similarity calculation analysis on the object image features and the comparison ship outline features and the comparison ship color features to obtain feature similarity of a plurality of objects;
marking an object corresponding to the characteristic similarity larger than the preset similarity as a ship object;
according to the object of the identified ship, retrieving from a ship model database memory model, and marking the retrieved result model as a retrieved ship model;
and (5) importing the search ship model into a fishing port map model.
It should be noted that, the preset ship image data is generally a large ship model in the fishing port, and because the source data of the preprocessed port image data is based on the GIS remote sensing image data, the large ship in the image can be accurately identified through analysis of the preprocessed port image data, and the corresponding model is imported into the fishing port map model through the existing ship model database, so that the fishing port map model is more consistent with the real fishing port situation, a more refined model is constructed, and the analysis accuracy of the subsequent fishing port route is improved. The ship model database comprises model data of all ships in the fishing port. The object image features include object contour features, color features and the like.
According to an embodiment of the present invention, the constructing a fishing port map model based on GIS according to the image data further includes:
acquiring video data of a fishing port in real time in a preset period;
extracting multi-angle key frames of the video data of the fishing port to obtain key image data;
the key image data includes image data for a plurality of video angles;
performing conversion, noise reduction and enhancement pretreatment according to the key image data, and performing fishing port entrance and exit image area analysis on the pretreated key image data to extract an entrance and exit image area;
carrying out object recognition on the images in the image areas of the access opening, and if other objects except the preset object are recognized, marking the corresponding object areas as obstacle areas;
analyzing the obstacle area based on multiple angles and constructing an obstacle model in real time;
introducing the obstacle model into a fishing port map model;
acquiring second fishing port video data in real time in the next preset period, performing secondary analysis on fishing port barriers according to the second fishing port video data, and acquiring a second barrier model;
and introducing the second obstacle model into a fishing port map model.
It should be noted that the preset object is an object existing or fixedly existing in the port of the fishing port, such as a road on the shore of the port, a buoy, a fixed emergency rescue device, etc., and the preset object is not used as an obstacle object in the present invention. In the process of acquiring the video data of the fishing port in real time in a preset period, the preset period is a time period set by a user, the video data of the fishing port is specifically acquired through a shooting monitoring module of the fishing port, the shooting monitoring module comprises a plurality of high-definition shooting devices, the high-definition shooting devices are placed in a plurality of monitoring points of the fishing port, and the video data of the fishing port in multiple angles can be acquired through the shooting monitoring module, so that the image data analysis of multiple angles is carried out on the inlet and outlet of the fishing port and the inside of the fishing port, the model construction is carried out on the fishing port barriers based on the multiple angle analysis, the refined construction of a fishing port map model is further carried out, and finer ship route planning can be provided for the follow-up. Because the GIS-based fishing port image data is difficult to carry out model analysis and construction on smaller objects, the invention carries out obstacle model analysis in the fishing port through the camera monitoring module in the fishing port, and further carries out fine construction on a fishing port map from a microscopic level.
Due to the complex operation environment of the fishing port, in the fishing port with high in-and-out frequency of the ship, the port blockage phenomenon often occurs, which is often related to the management of the fishing port and the existence of barriers in the port, for example, the ship which is in fault and is in emergency stop in the port, the working tools (such as fishing nets, etc.) lost when the fishing ship is loaded and unloaded, the floating objects which are randomly placed without supervision, etc., all can cause the blockage situation to occur. In the method for analyzing the obstacle area based on multiple angles and constructing the obstacle model in real time, the real-time accurate map model can be provided for the subsequent analysis of the arrival and departure routes of ships by analyzing the obstacle model. In addition, the second obstacle model is analyzed in real time in the next preset period, so that the original obstacle model can be updated and replaced in real time, and the spatial data of the map model and the spatial data of an actual fishing port are kept uniform.
Fig. 3 shows a flow chart of the invention for obtaining the information of the arrival and departure routes of the ships.
According to the embodiment of the invention, the ship parameter information and the ship arrival/departure plan information are imported into a fishing port map model for carrying out ship optimal route analysis, so as to obtain ship arrival/departure route information, which is specifically as follows:
S302, acquiring ship parameter information of a target ship;
s304, generating a target ship model based on the ship parameter information;
s306, importing the target ship model and the ship arrival and departure plan information into a fishing port map model;
s308, carrying out ship arrival and departure route simulation by the fishing port map model according to the target ship model, and analyzing optimal ship berth information, arrival route information and departure route information based on feasibility and safety;
and S310, integrating the ship berthing information, the port entering route information and the port exiting route information to obtain the ship port entering route information.
The ship parameter information of the target ship comprises parameters such as appearance specification, tonnage and the like of the ship, a corresponding target ship model can be generated through the ship parameter information, the fishing port map model carries out visual navigation simulation according to the size of the target ship model in the map, a corresponding navigation route is generated, and in the process of generating optimal ship arrival and departure route information based on feasibility and safety, the feasible and safe route planning is carried out in the fishing port map model according to the target ship model and based on a feasible region and an obstacle model of the fishing port map.
According to the embodiment of the invention, the ship position information is acquired in real time, the ship position information is analyzed in real time based on the ship arrival and departure route information, early warning information is generated, and the early warning information is sent to the ship terminal equipment, specifically:
acquiring first position information of a target ship in real time through a GPS;
acquiring the arrival time of a target ship according to the arrival and departure plan information of the ship;
acquiring video data of a target ship in real time according to the port entering time of the target ship;
performing multi-angle key frame extraction based on the target ship video data to obtain ship key image data;
and carrying out ship position identification on the ship key image data, determining the ship position based on the multi-angle image data, and obtaining second ship position information.
It should be noted that, the second ship position information is specifically obtained by positioning through real-time video data, and is used for performing position correction when the first position information is inaccurate.
According to an embodiment of the present invention, the acquiring, in real time, the ship position information based on the ship arrival/departure route information, analyzing, in real time, the ship position information, generating early warning information, and transmitting the early warning information to a ship terminal device, further includes:
Comparing and analyzing the position deviation degree of the first position information and the second position information;
if the deviation degree is smaller than the preset deviation degree, the first position information is used as the current ship position, and if the deviation degree is larger than the preset deviation degree, the second position information is used as the current ship position;
the current ship position and the ship arrival and departure route information are compared and analyzed in real time, and route deviation degree is obtained;
judging whether the route deviation degree is larger than a preset deviation degree, and if so, generating route deviation early warning information in real time;
calculating the berthing time of the target ship in real time according to the current ship position, and generating berthing early warning information if the berthing time is longer than the preset time;
and sending the route deviation early warning information and the berthing early warning information to target ship preset terminal equipment for display.
According to an embodiment of the present invention, if the parking time is greater than a preset time, generating parking early warning information further includes:
acquiring fishing data when a target ship enters a port;
acquiring ship parameter information and personnel information of a target ship;
carrying out loading and unloading time prediction calculation on the target ship according to the fishing data, the ship parameter information and the personnel information to obtain a prediction time range;
Acquiring the frequency of the arrival and departure of the ships at the current fishing port according to the ship arrival and departure plan information, and the number of the ships at the arrival and departure;
according to the ship arrival and departure frequency, calculating and analyzing the ship quantity of arrival and departure to obtain a predicted congestion index of the fishing port;
and determining a preset time from the predicted time range based on the predicted congestion index of the fishing port.
The magnitude of the predicted congestion index of the fishing port is positively correlated with the frequency of ship arrival and departure and the number of ships at the arrival and departure. The personnel information specifically refers to personnel information in the target ship, and comprises personnel data, personnel duty and other information. The preset time is determined from the prediction time range based on the predicted congestion index of the fishing port, specifically, the preset time is determined according to the magnitude of the predicted congestion index of the fishing port, the greater the predicted congestion index of the fishing port is, the smaller the determined preset time is, and the preset time is ensured to be within the prediction time range. And in the prediction time range obtained by predicting and calculating the loading and unloading time of the target ship according to the fishing data, the ship parameter information and the personnel information, if the fishing yield in the fishing data is smaller or the personnel number is smaller, the whole numerical value of the prediction time range is smaller. The ship parameter information can be used for analyzing the specification of the ship, and the smaller the ship specification is, the smaller the whole numerical value of the prediction time range obtained by the prediction calculation of the loading and unloading time is.
Fig. 4 shows a block diagram of a dynamic management system for the arrival and departure of a fishing port vessel based on a geographic information system according to the present invention.
The second aspect of the present invention also provides a dynamic management system 4 for the entrance and exit of a fishing port ship based on a geographic information system, which comprises: the memory 41 and the processor 42, wherein the memory comprises a dynamic management program for the entering and exiting of the fishing port ship based on a geographic information system, and the dynamic management program for the entering and exiting of the fishing port ship based on the geographic information system realizes the following steps when being executed by the processor:
acquiring GIS-based image data in a target port in real time;
constructing a fishing port map model based on GIS according to the image data;
acquiring ship parameter information and ship arrival and departure plan information;
the ship parameter information and the ship arrival/departure plan information are imported into a fishing port map model to analyze the optimal route of the ship, so that the ship arrival/departure route information is obtained;
and acquiring the ship position information in real time, analyzing the ship position information in real time based on the ship arrival and departure route information, generating early warning information, and transmitting the early warning information to the ship terminal equipment.
According to the embodiment of the invention, the real-time acquisition of the GIS-based image data in the target port is specifically as follows:
Acquiring the position information of a target port;
intercepting corresponding port image data based on GIS according to the position information of the target port;
transforming and denoising preprocessing the port image data to obtain preprocessed port image data;
performing color feature extraction on the preprocessed harbor image data to obtain harbor color feature data;
carrying out port contour recognition on the basis of port color characteristic data to obtain port contour information;
and constructing a fishing port map model based on the fishing port contour information.
It should be noted that the fishing port map model is specifically a three-dimensional map model. The fishing port contour information comprises sea surface contour, bank contour, wharf berthing floating body contour information and the like of the fishing port, and the sea surface and the bank have clear color characteristic distinction, so that the invention extracts the corresponding contour through the color characteristic and further constructs a fishing port map model through the contour information. According to the position information of the target port, corresponding port image data are intercepted based on GIS, the port image data are specifically remote sensing image data based on GIS, and accurate and rapid identification and analysis of subsequent port maps and objects can be realized through the remote sensing image data. In addition, by analyzing the harbor image data to construct a harbor map model, the rapid construction of the harbor map can be performed from a macroscopic level.
According to the embodiment of the invention, the construction of the fishing port map model based on the GIS according to the image data comprises the following specific steps:
acquiring preset ship image data;
carrying out noise reduction and image enhancement pretreatment on the preset ship image data, and extracting outline features and color features of the pretreated ship image data to obtain comparison ship outline features and comparison ship color features;
acquiring preprocessing port image data, and carrying out object identification and object feature extraction on the preprocessing port image data to obtain object image features of a plurality of objects;
performing feature similarity calculation analysis on the object image features and the comparison ship outline features and the comparison ship color features to obtain feature similarity of a plurality of objects;
marking an object corresponding to the characteristic similarity larger than the preset similarity as a ship object;
according to the object of the identified ship, retrieving from a ship model database memory model, and marking the retrieved result model as a retrieved ship model;
and (5) importing the search ship model into a fishing port map model.
It should be noted that, the preset ship image data is generally a large ship model in the fishing port, and because the source data of the preprocessed port image data is based on the GIS remote sensing image data, the large ship in the image can be accurately identified through analysis of the preprocessed port image data, and the corresponding model is imported into the fishing port map model through the existing ship model database, so that the fishing port map model is more consistent with the real fishing port situation, a more refined model is constructed, and the analysis accuracy of the subsequent fishing port route is improved. The ship model database comprises model data of all ships in the fishing port. The object image features include object contour features, color features and the like.
According to an embodiment of the present invention, the constructing a fishing port map model based on GIS according to the image data further includes:
acquiring video data of a fishing port in real time in a preset period;
extracting multi-angle key frames of the video data of the fishing port to obtain key image data;
the key image data includes image data for a plurality of video angles;
performing conversion, noise reduction and enhancement pretreatment according to the key image data, and performing fishing port entrance and exit image area analysis on the pretreated key image data to extract an entrance and exit image area;
carrying out object recognition on the images in the image areas of the access opening, and if other objects except the preset object are recognized, marking the corresponding object areas as obstacle areas;
analyzing the obstacle area based on multiple angles and constructing an obstacle model in real time;
introducing the obstacle model into a fishing port map model;
acquiring second fishing port video data in real time in the next preset period, performing secondary analysis on fishing port barriers according to the second fishing port video data, and acquiring a second barrier model;
and introducing the second obstacle model into a fishing port map model.
It should be noted that the preset object is an object existing or fixedly existing in the port of the fishing port, such as a road on the shore of the port, a buoy, a fixed emergency rescue device, etc., and the preset object is not used as an obstacle object in the present invention. In the process of acquiring the video data of the fishing port in real time in a preset period, the preset period is a time period set by a user, the video data of the fishing port is specifically acquired through a shooting monitoring module of the fishing port, the shooting monitoring module comprises a plurality of high-definition shooting devices, the high-definition shooting devices are placed in a plurality of monitoring points of the fishing port, and the video data of the fishing port in multiple angles can be acquired through the shooting monitoring module, so that the image data analysis of multiple angles is carried out on the inlet and outlet of the fishing port and the inside of the fishing port, the model construction is carried out on the fishing port barriers based on the multiple angle analysis, the refined construction of a fishing port map model is further carried out, and finer ship route planning can be provided for the follow-up. Because the GIS-based fishing port image data is difficult to carry out model analysis and construction on smaller objects, the invention carries out obstacle model analysis in the fishing port through the camera monitoring module in the fishing port, and further carries out fine construction on a fishing port map from a microscopic level.
Due to the complex operation environment of the fishing port, in the fishing port with high in-and-out frequency of the ship, the port blockage phenomenon often occurs, which is often related to the management of the fishing port and the existence of barriers in the port, for example, the ship which is in fault and is in emergency stop in the port, the working tools (such as fishing nets, etc.) lost when the fishing ship is loaded and unloaded, the floating objects which are randomly placed without supervision, etc., all can cause the blockage situation to occur. In the method for analyzing the obstacle area based on multiple angles and constructing the obstacle model in real time, the real-time accurate map model can be provided for the subsequent analysis of the arrival and departure routes of ships by analyzing the obstacle model. In addition, the second obstacle model is analyzed in real time in the next preset period, so that the original obstacle model can be updated and replaced in real time, and the spatial data of the map model and the spatial data of an actual fishing port are kept uniform.
According to the embodiment of the invention, the ship parameter information and the ship arrival/departure plan information are imported into a fishing port map model for carrying out ship optimal route analysis, so as to obtain ship arrival/departure route information, which is specifically as follows:
acquiring ship parameter information of a target ship;
Generating a target ship model based on the ship parameter information;
the target ship model and the ship arrival and departure plan information are imported into a fishing port map model;
the fishing port map model carries out ship arrival/departure route simulation according to the target ship model, and analyzes optimal ship berthing information, arrival/departure route information and departure route information based on feasibility and safety;
and integrating the information of the berthing information, the port entering route information and the port exiting route information of the ship to obtain the port entering route information of the ship.
The ship parameter information of the target ship comprises parameters such as appearance specification, tonnage and the like of the ship, a corresponding target ship model can be generated through the ship parameter information, the fishing port map model carries out visual navigation simulation according to the size of the target ship model in the map, a corresponding navigation route is generated, and in the process of generating optimal ship arrival and departure route information based on feasibility and safety, the feasible and safe route planning is carried out in the fishing port map model according to the target ship model and based on a feasible region and an obstacle model of the fishing port map.
According to the embodiment of the invention, the ship position information is acquired in real time, the ship position information is analyzed in real time based on the ship arrival and departure route information, early warning information is generated, and the early warning information is sent to the ship terminal equipment, specifically:
Acquiring first position information of a target ship in real time through a GPS;
acquiring the arrival time of a target ship according to the arrival and departure plan information of the ship;
acquiring video data of a target ship in real time according to the port entering time of the target ship;
performing multi-angle key frame extraction based on the target ship video data to obtain ship key image data;
and carrying out ship position identification on the ship key image data, determining the ship position based on the multi-angle image data, and obtaining second ship position information.
It should be noted that, the second ship position information is specifically obtained by positioning through real-time video data, and is used for performing position correction when the first position information is inaccurate.
According to an embodiment of the present invention, the acquiring, in real time, the ship position information based on the ship arrival/departure route information, analyzing, in real time, the ship position information, generating early warning information, and transmitting the early warning information to a ship terminal device, further includes:
comparing and analyzing the position deviation degree of the first position information and the second position information;
if the deviation degree is smaller than the preset deviation degree, the first position information is used as the current ship position, and if the deviation degree is larger than the preset deviation degree, the second position information is used as the current ship position;
The current ship position and the ship arrival and departure route information are compared and analyzed in real time, and route deviation degree is obtained;
judging whether the route deviation degree is larger than a preset deviation degree, and if so, generating route deviation early warning information in real time;
calculating the berthing time of the target ship in real time according to the current ship position, and generating berthing early warning information if the berthing time is longer than the preset time;
and sending the route deviation early warning information and the berthing early warning information to target ship preset terminal equipment for display.
The invention discloses a dynamic management method and a system for the entering and exiting of a fishing port ship based on a geographic information system, which are characterized in that GIS-based image data in a target port are obtained in real time, and a GIS-based fishing port map model is constructed according to the image data; the method comprises the steps of obtaining ship parameter information and ship arrival and departure plan information, guiding the ship parameter information and the ship arrival and departure plan information into a fishing port map model for carrying out ship optimal route analysis, obtaining ship arrival and departure route information, obtaining ship position information in real time, carrying out real-time analysis on the ship position information based on the ship arrival and departure route information, generating early warning information, and sending the early warning information to ship terminal equipment. The invention can effectively improve the port entering and exiting efficiency of the ship and improve the management efficiency of the ship.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.
Alternatively, the above-described integrated units of the present invention may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) 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, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within 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 (5)

1. A dynamic management method for the entrance and exit of a fishing port ship based on a geographic information system is characterized by comprising the following steps:
acquiring GIS-based image data in a target port in real time;
constructing a fishing port map model based on GIS according to the image data;
acquiring ship parameter information and ship arrival and departure plan information;
the ship parameter information and the ship arrival/departure plan information are imported into a fishing port map model to analyze the optimal route of the ship, so that the ship arrival/departure route information is obtained;
acquiring ship position information in real time, analyzing the ship position information in real time based on the ship arrival/departure route information, generating early warning information, and transmitting the early warning information to ship terminal equipment;
the method for constructing the fishing port map model based on the GIS according to the image data comprises the following steps:
Acquiring preset ship image data;
carrying out noise reduction and image enhancement pretreatment on the preset ship image data, and extracting outline features and color features of the pretreated ship image data to obtain comparison ship outline features and comparison ship color features;
acquiring preprocessing port image data, and carrying out object identification and object feature extraction on the preprocessing port image data to obtain object image features of a plurality of objects;
performing feature similarity calculation analysis on the object image features and the comparison ship outline features and the comparison ship color features to obtain feature similarity of a plurality of objects;
marking an object corresponding to the characteristic similarity larger than the preset similarity as a ship object;
according to the identified ship object, carrying out model retrieval from a ship model database, and marking the retrieval result model as a retrieval ship model;
the method comprises the steps of guiding a search ship model into a fishing port map model;
acquiring first fishing port video data in real time in a preset period;
performing multi-angle key frame extraction on the first fishing port video data to obtain key image data;
the key image data includes image data for a plurality of video angles;
Performing conversion, noise reduction and enhancement pretreatment according to the key image data, and performing fishing port entrance and exit image area analysis on the pretreated key image data to extract an entrance and exit image area;
carrying out object recognition on the images in the image areas of the access opening, and if other objects except the preset object are recognized, marking the corresponding object areas as obstacle areas;
analyzing the obstacle area based on multiple angles and constructing a first obstacle model in real time;
introducing the first obstacle model into a fishing port map model;
acquiring second fishing port video data in real time in the next preset period, performing secondary analysis on fishing port barriers according to the second fishing port video data, and acquiring a second barrier model;
introducing the second obstacle model into a fishing port map model;
the method comprises the steps of acquiring ship position information in real time, analyzing the ship position information in real time based on ship arrival and departure route information, generating early warning information, and sending the early warning information to ship terminal equipment, wherein the method comprises the following specific steps:
acquiring first position information of a target ship in real time through a GPS;
acquiring the arrival time of a target ship according to the arrival and departure plan information of the ship;
Acquiring video data of a target ship in real time according to the port entering time of the target ship;
performing multi-angle key frame extraction based on the target ship video data to obtain ship key image data;
carrying out ship position identification on the ship key image data, determining the ship position based on the multi-angle image data, and obtaining second position information;
the method comprises the steps of acquiring ship position information in real time, analyzing the ship position information in real time based on the ship arrival and departure route information, generating early warning information, and sending the early warning information to ship terminal equipment, and further comprises the following steps:
comparing and analyzing the position deviation degree of the first position information and the second position information;
if the deviation degree is smaller than the preset deviation degree, the first position information is used as the current ship position, and if the deviation degree is larger than the preset deviation degree, the second position information is used as the current ship position;
the current ship position and the ship arrival and departure route information are compared and analyzed in real time, and route deviation degree is obtained;
judging whether the route deviation degree is larger than a preset deviation degree, and if so, generating route deviation early warning information in real time;
calculating the berthing time of the target ship in real time according to the current ship position, and generating berthing early warning information if the berthing time is longer than the preset time;
The route deviation early warning information and the berthing early warning information are sent to target ship preset terminal equipment for display;
if the parking time is greater than the preset time, generating parking early warning information, and further comprising:
acquiring fishing data when a target ship enters a port;
acquiring ship parameter information and personnel information of a target ship;
carrying out loading and unloading time prediction calculation on the target ship according to the fishing data, the ship parameter information and the personnel information to obtain a prediction time range;
acquiring the frequency of the arrival and departure of the ships at the current fishing port according to the ship arrival and departure plan information, and the number of the ships at the arrival and departure;
according to the ship arrival and departure frequency, calculating and analyzing the number of ships at the arrival and departure to obtain a predicted congestion index of the fishing port;
determining a preset time from a prediction time range based on a prediction congestion index of the fishing port;
the magnitude of the predicted congestion index of the fishing port is positively correlated with the frequency of arrival and departure of the ships and the number of the ships in the arrival and departure, and the larger the predicted congestion index of the fishing port is, the smaller the determined preset time is.
2. The method for dynamically managing the entering and exiting of the fishing port vessel based on the geographic information system as set forth in claim 1, wherein the acquiring of the GIS-based image data in the target port in real time is specifically:
Acquiring the position information of a target port;
intercepting corresponding port image data based on GIS according to the position information of the target port;
transforming and denoising preprocessing the port image data to obtain preprocessed port image data;
performing color feature extraction on the preprocessed harbor image data to obtain harbor color feature data;
carrying out port contour recognition on the basis of port color characteristic data to obtain port contour information;
and constructing a fishing port map model based on the fishing port contour information.
3. The method for dynamically managing the arrival and departure of a fishing port vessel based on a geographic information system according to claim 1, wherein the method for guiding the vessel parameter information and the vessel arrival and departure plan information into a fishing port map model to perform the vessel optimal route analysis, and obtaining the vessel arrival and departure route information comprises the following steps:
acquiring ship parameter information of a target ship;
generating a target ship model based on the ship parameter information;
the target ship model and the ship arrival and departure plan information are imported into a fishing port map model;
the fishing port map model carries out ship arrival/departure route simulation according to the target ship model, and analyzes optimal ship berthing information, arrival/departure route information and departure route information based on feasibility and safety;
And integrating the information of the berthing information, the port entering route information and the port exiting route information of the ship to obtain the port entering route information of the ship.
4. A dynamic management system for the entry and exit of a fishing port ship based on a geographic information system, which is characterized by comprising: the system comprises a memory and a processor, wherein the memory comprises a dynamic management program for the arrival and departure of the fishing port ships based on a geographic information system, and the dynamic management program for the arrival and departure of the fishing port ships based on the geographic information system realizes the following steps when being executed by the processor:
acquiring GIS-based image data in a target port in real time;
constructing a fishing port map model based on GIS according to the image data;
acquiring ship parameter information and ship arrival and departure plan information;
the ship parameter information and the ship arrival/departure plan information are imported into a fishing port map model to analyze the optimal route of the ship, so that the ship arrival/departure route information is obtained;
acquiring ship position information in real time, analyzing the ship position information in real time based on the ship arrival/departure route information, generating early warning information, and transmitting the early warning information to ship terminal equipment;
the method for constructing the fishing port map model based on the GIS according to the image data comprises the following steps:
Acquiring preset ship image data;
carrying out noise reduction and image enhancement pretreatment on the preset ship image data, and extracting outline features and color features of the pretreated ship image data to obtain comparison ship outline features and comparison ship color features;
acquiring preprocessing port image data, and carrying out object identification and object feature extraction on the preprocessing port image data to obtain object image features of a plurality of objects;
performing feature similarity calculation analysis on the object image features and the comparison ship outline features and the comparison ship color features to obtain feature similarity of a plurality of objects;
marking an object corresponding to the characteristic similarity larger than the preset similarity as a ship object;
according to the identified ship object, carrying out model retrieval from a ship model database, and marking the retrieval result model as a retrieval ship model;
the method comprises the steps of guiding a search ship model into a fishing port map model;
acquiring first fishing port video data in real time in a preset period;
performing multi-angle key frame extraction on the first fishing port video data to obtain key image data;
the key image data includes image data for a plurality of video angles;
Performing conversion, noise reduction and enhancement pretreatment according to the key image data, and performing fishing port entrance and exit image area analysis on the pretreated key image data to extract an entrance and exit image area;
carrying out object recognition on the images in the image areas of the access opening, and if other objects except the preset object are recognized, marking the corresponding object areas as obstacle areas;
analyzing the obstacle area based on multiple angles and constructing a first obstacle model in real time;
introducing the first obstacle model into a fishing port map model;
acquiring second fishing port video data in real time in the next preset period, performing secondary analysis on fishing port barriers according to the second fishing port video data, and acquiring a second barrier model;
introducing the second obstacle model into a fishing port map model;
the method comprises the steps of acquiring ship position information in real time, analyzing the ship position information in real time based on ship arrival and departure route information, generating early warning information, and sending the early warning information to ship terminal equipment, wherein the method comprises the following specific steps:
acquiring first position information of a target ship in real time through a GPS;
acquiring the arrival time of a target ship according to the arrival and departure plan information of the ship;
Acquiring video data of a target ship in real time according to the port entering time of the target ship;
performing multi-angle key frame extraction based on the target ship video data to obtain ship key image data;
carrying out ship position identification on the ship key image data, determining the ship position based on the multi-angle image data, and obtaining second position information;
the method comprises the steps of acquiring ship position information in real time, analyzing the ship position information in real time based on the ship arrival and departure route information, generating early warning information, and sending the early warning information to ship terminal equipment, and further comprises the following steps:
comparing and analyzing the position deviation degree of the first position information and the second position information;
if the deviation degree is smaller than the preset deviation degree, the first position information is used as the current ship position, and if the deviation degree is larger than the preset deviation degree, the second position information is used as the current ship position;
the current ship position and the ship arrival and departure route information are compared and analyzed in real time, and route deviation degree is obtained;
judging whether the route deviation degree is larger than a preset deviation degree, and if so, generating route deviation early warning information in real time;
calculating the berthing time of the target ship in real time according to the current ship position, and generating berthing early warning information if the berthing time is longer than the preset time;
The route deviation early warning information and the berthing early warning information are sent to target ship preset terminal equipment for display;
if the parking time is greater than the preset time, generating parking early warning information, and further comprising:
acquiring fishing data when a target ship enters a port;
acquiring ship parameter information and personnel information of a target ship;
carrying out loading and unloading time prediction calculation on the target ship according to the fishing data, the ship parameter information and the personnel information to obtain a prediction time range;
acquiring the frequency of the arrival and departure of the ships at the current fishing port according to the ship arrival and departure plan information, and the number of the ships at the arrival and departure;
according to the ship arrival and departure frequency, calculating and analyzing the number of ships at the arrival and departure to obtain a predicted congestion index of the fishing port;
determining a preset time from a prediction time range based on a prediction congestion index of the fishing port;
the magnitude of the predicted congestion index of the fishing port is positively correlated with the frequency of arrival and departure of the ships and the number of the ships in the arrival and departure, and the larger the predicted congestion index of the fishing port is, the smaller the determined preset time is.
5. The dynamic management system for entering and exiting a fishing port vessel based on a geographic information system according to claim 4, wherein the acquiring of the GIS-based image data in the target port in real time is specifically:
Acquiring the position information of a target port;
intercepting corresponding port image data based on GIS according to the position information of the target port;
transforming and denoising preprocessing the port image data to obtain preprocessed port image data;
performing color feature extraction on the preprocessed harbor image data to obtain harbor color feature data;
carrying out port contour recognition on the basis of port color characteristic data to obtain port contour information;
and constructing a fishing port map model based on the fishing port contour information.
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