CN116977435A - Shore power system for automatic identification of ship on shore - Google Patents
Shore power system for automatic identification of ship on shore Download PDFInfo
- Publication number
- CN116977435A CN116977435A CN202311190547.8A CN202311190547A CN116977435A CN 116977435 A CN116977435 A CN 116977435A CN 202311190547 A CN202311190547 A CN 202311190547A CN 116977435 A CN116977435 A CN 116977435A
- Authority
- CN
- China
- Prior art keywords
- ship
- berth
- information
- shore
- data
- 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.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 claims abstract description 6
- 230000005611 electricity Effects 0.000 claims description 129
- 238000012015 optical character recognition Methods 0.000 claims description 29
- 238000004364 calculation method Methods 0.000 claims description 20
- 230000002159 abnormal effect Effects 0.000 claims description 15
- 238000001514 detection method Methods 0.000 claims description 14
- 238000005265 energy consumption Methods 0.000 claims description 14
- 238000007726 management method Methods 0.000 claims description 11
- 238000004458 analytical method Methods 0.000 claims description 10
- 238000000034 method Methods 0.000 claims description 10
- 230000008569 process Effects 0.000 claims description 10
- 238000004891 communication Methods 0.000 claims description 9
- 238000003708 edge detection Methods 0.000 claims description 9
- 238000012545 processing Methods 0.000 claims description 9
- 238000007405 data analysis Methods 0.000 claims description 8
- 238000007781 pre-processing Methods 0.000 claims description 6
- 230000009467 reduction Effects 0.000 claims description 6
- 230000009466 transformation Effects 0.000 claims description 6
- 238000000605 extraction Methods 0.000 claims description 3
- 238000003702 image correction Methods 0.000 claims description 3
- 230000011218 segmentation Effects 0.000 claims description 3
- 239000000284 extract Substances 0.000 description 5
- 230000000875 corresponding effect Effects 0.000 description 4
- 238000013500 data storage Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 239000002699 waste material Substances 0.000 description 3
- 230000006399 behavior Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000002596 correlated effect Effects 0.000 description 2
- 239000000446 fuel Substances 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/002—Measuring arrangements characterised by the use of optical techniques for measuring two or more coordinates
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/24—Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R21/00—Arrangements for measuring electric power or power factor
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R22/00—Arrangements for measuring time integral of electric power or current, e.g. electricity meters
- G01R22/06—Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
-
- 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/757—Matching configurations of points or features
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/14—Image acquisition
- G06V30/148—Segmentation of character regions
- G06V30/153—Segmentation of character regions using recognition of characters or words
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Business, Economics & Management (AREA)
- Databases & Information Systems (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- Computational Linguistics (AREA)
- Power Engineering (AREA)
- General Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Probability & Statistics with Applications (AREA)
- Data Mining & Analysis (AREA)
- Multimedia (AREA)
- Mathematical Physics (AREA)
- Fuzzy Systems (AREA)
- Medical Informatics (AREA)
- Evolutionary Computation (AREA)
- Emergency Management (AREA)
- Computing Systems (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Artificial Intelligence (AREA)
- Image Processing (AREA)
Abstract
The application discloses a shore power system for automatically identifying a ship in the shore, which relates to the technical field of ship identification and monitoring.
Description
Technical Field
The application relates to the technical field of ship identification and monitoring, in particular to a shore power system for automatically identifying a shore-based ship.
Background
Shore power systems for automatic identification of a shore-based vessel are also known as shore power systems or solutions for providing power to vessels berthing at a quay or port, instead of running generators from the vessel's own engine to generate power.
The berthing vessels need to maintain operation to maintain power demand on the vessel, which generally requires burning fuel, generating exhaust emissions and noise, and in order to reduce environmental impact and save fuel costs, a shore power system is introduced that allows the vessels to meet energy demand on the vessel by being connected to an onshore power network, thereby directly using onshore power, and by using the shore power system, the vessels can shut down the main engines while berthing, thereby reducing environmental pollution, reducing noise of ports, and improving air quality.
Along with the standardized use and control of the system and the extension of the original inland shore power management system to the coastal wharf, the problems of asymmetrical ship shore power information, difficult registration of foreign ship landing small programs, and prolonged engineering for data uploading reconstruction caused by high professional requirements of the use of the shore power of the harbor wharf, particularly variable frequency shore power, are brought about, the problem that the identification difficulty is only manually recorded, the subsequent shore power data detection abnormality is influenced, each ship is identified and recorded manually, the time and effort are consumed, errors or omission are easy to occur, and meanwhile, an accurate position matching function is lacked, so that the waste of power resources or the power collision of the ship is caused, and therefore, the shore power system capable of realizing automatic identification of the shore power ship capable of matching the power ship and the shore power information and simultaneously carrying out abnormal power monitoring is needed.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the application provides a shore power system for automatically identifying a shore-backed ship, which solves the problems of the prior art that the registration of a foreign ship landing applet is difficult, the manual entry can only be carried out, the subsequent abnormal shore power data detection is affected, and meanwhile, the accurate position matching function is lacking, so that the waste of electricity resources or the electricity conflict of the ship is caused.
(II) technical scheme
In order to achieve the above object, the present application provides a shore power system for automatically identifying a shore-based ship, comprising:
the ship identification and positioning module is used for identifying the ship and determining the position and the direction of the ship on berth;
the ship information identification and storage module is used for identifying the text information in the ship image and storing the identified ship information into the database;
the ship electricity consumption information acquisition module is used for collecting related data and information of electricity used by the ship on a shore power system;
the data analysis and detection module is responsible for carrying out statistics and analysis on ship electricity consumption data and carrying out anomaly detection on the ship electricity consumption data;
and the illegal power utilization tracking and recording module is used for tracking and recording the conditions of unauthorized and non-compliant ship power utilization.
The application is further arranged to: the ship identification and positioning module comprises:
the camera unit is arranged on the berth, captures the ship image of the berth area in real time through the camera, and obtains the appearance characteristics of the ship, including the shape, the color and the mark of the ship body;
the relative positioning unit is used for accurately calculating the position and the direction of the ship on the berth through image processing and calculation by utilizing the image captured by the camera and the relative position information of the berth, determining the berth state of the ship, providing accurate position information for subsequent ship identification and power management, and converting the relative coordinates of the position of the ship on the image and the berth into actual physical positions;
the application is further arranged to: the specific steps of determining the position and the direction of the ship on berth through image processing and calculation by the relative positioning unit are as follows:
acquiring a ship image captured by a camera, and preprocessing the image, including noise reduction, contrast enhancement and image correction;
extracting characteristic information of the ship from the image by adopting edge detection and characteristic point extraction technologies, wherein the characteristic information comprises a ship body contour and a ship head and a ship tail position;
calibrating the feature points and the position information of the berth in advance to form a feature template of the berth, matching the feature information extracted from the ship image with the feature template of the berth, and finding the best matching position;
calculating the relative position coordinates of the ship on berths according to the matched berth characteristic points and the position information of the ship characteristic points;
calculating the direction angle of the ship according to the position information of the ship characteristic points;
according to the relative position coordinates and the ship direction angle, setting a relative position error angle and a range threshold, judging whether the ship is successfully berthed on berth or not when the relative position error angle and the range threshold are exceeded, and alarming;
in the relative positioning process, the starting point coordinates of the berth are set as (x 0, y 0), the relative position coordinates of the ship on the berth are set as (x_rel, y_rel), the direction angle of the ship is θ, and the coordinate transformation formula is as follows:
X abs ＝X 0 +X rel ；Y abs ＝Y 0 +Y rel ，
the angle calculation formula:
θ＝atan2(Y rel ，X rel ) Wherein X is abs Is the absolute abscissa position of the ship on berth, namely the actual berthing position of the ship, X 0 Is the starting point abscissa position of the berth, represents the transverse position of the berth in the whole coordinate system, X rel Is the relative horizontal coordinate position of the ship on berth, namely the horizontal offset of the ship relative to the berth starting point, represents the horizontal position offset of the ship relative to berth, Y 0 Is the ordinate position of the starting point of the berth, Y rel The ship is in a relative ordinate position on berth, namely the longitudinal offset of the ship relative to the berth starting point;
the application is further arranged to: the ship information identification and storage module comprises:
an OCR optical character recognition unit for extracting identification information of the ship from the image of the ship, including the shape, color, identification, name and country of the ship;
a database unit storing the identified ship information into a database;
the application is further arranged to: the OCR optical character recognition unit analyzes and processes the ship image captured by the camera, and specifically comprises the following steps:
preprocessing the ship image captured by the camera of the image, including noise reduction, graying and binarization;
using an edge detection and communication component analysis method to find a text region in the image;
character segmentation is carried out on the character area, each character is separated independently, OCR recognition is carried out on each character, and the character is converted into a corresponding character text;
gray level value calculation formula:
G RAY ＝0.299*R+0.587*G+0.114*B；
wherein R, G and B represent the red, green and blue channel values of the pixels in the image, respectively;
binarization threshold value calculation formula:
wherein T is d A binarized threshold value, (maxgray value is a maximum gray value, mingray value is a minimum gray value, and BinaryImage (x, y) is a gray value of a binary image (x, y);
performing edge detection by using a Sobel operator, finding out a text region in an image by adopting a connected component analysis method, and independently dividing each character;
identifying each character image by adopting a Tesseact model to obtain a character text;
the application is further arranged to: the marine power consumption information acquisition module includes:
the electric energy meter unit is used for installing an electric energy meter on a shore power facility and collecting electric energy consumption data of the shore power used by the ship;
the communication unit is used for uploading the electric energy consumption data to the database, matching the electric energy consumption data with ship information and establishing the association of the ship electricity information;
the application is further arranged to: in the communication unit, the electric energy consumption data is uploaded to a database and matched with ship information, and the specific steps for establishing the association of the ship electricity information comprise the following steps:
the ship electricity consumption acquisition module is responsible for monitoring electricity consumption conditions of ships in real time, acquiring electricity consumption data, including voltage, current, power and electricity consumption time, and uploading the acquired electricity consumption data to the database unit through network connection;
adding a ship ID (identity) for storing in a ship electricity consumption data table, and associating the electricity consumption data with corresponding ship information;
in the ship electricity consumption information acquisition module, uploading data to a database after electricity consumption data are acquired each time;
when the electricity consumption of the ship needs to be inquired, the relevant electricity consumption data can be retrieved from the database through the inquiry operation of the database according to the ship ID;
the inquired result is ship electricity information, which comprises ship ID and electricity consumption number;
the application is further arranged to: in the data analysis and detection module, various statistical indexes of the ship electricity consumption are calculated according to the ship electricity consumption stored in the database unit, wherein the statistical index calculation formula comprises the following components:
T p ＝Σ；T d ＝Σ t ；/>
wherein T is p Sigma is the electric energy consumption, A is the total electricity consumption p Is average electricity consumption, n is the number of ships, T d For the duration of electricity Σ t For the electricity utilization time length, F is the electricity utilization frequency, and C is the electricity utilization times;
identifying abnormal conditions in ship electricity data based on a 3 sigma principle;
judging whether the data is abnormal or not according to the mean value and standard deviation of the data, wherein the specific steps are as follows:
there are n power data points: x is x 1 ,x 2 ,...x n Average value of thenStandard deviation->
Based on the mean and standard deviation, calculating a threshold range of anomalies:
U t ＝M n +3*S d ；L t ＝M n -3*S d wherein U is t As the upper threshold value, L t Is a lower threshold;
checking each power consumption data point and judging whether the power consumption data point exceeds a threshold range or not;
if a power utilization data point x is not at L t ，U t ]If the data point is within the range, marking the data point as abnormal and alarming;
the application is further arranged to: the illegal electricity tracking and recording module comprises:
an alarm unit for setting the time limit of ship electricity consumption and triggering an alarm when the ship uses shore power overtime;
and the violation recording unit is used for recording information of the violation ship, including overtime electricity utilization time length and frequency, and is used for data support of law enforcement departments.
(III) beneficial effects
The application provides a shore power system for automatically identifying a shore-backed ship. The beneficial effects are as follows:
the shore power system for automatically identifying the shore-backed ship provided by the application automatically identifies the information of the ship through the ship identification and positioning module without depending on white list or code scanning operation, and in the relative positioning process, the relative position coordinates (X) of the ship on berth are obtained through image processing and calculation rel 、Y rel ) And then relative position coordinates and the start point coordinates (X 0 、Y 0 ) Coordinate transformation is performed to obtain absolute position coordinates (X abs ，Y abs ) Therefore, whether the ship is successfully berthed on the berth is judged, the position and the direction of the ship on the berth are accurately calculated, and the berth and the berthing power utilization ship are matched.
After the relative positioning unit is introduced, the OCR unit can automatically extract the identification information of the ship from the ship image, the ship name and the ship nationality, the character information in the ship image is converted into readable electronic text through the OCR optical character recognition unit, the identification information of the ship is extracted from the image through the OCR technology, a foundation is laid for subsequent ship recognition and data storage, the ship information recognition and storage module extracts the character information in the ship image through the OCR unit, then the recognized ship information is stored in the database, the identification information of the ship is accurately recorded and managed, and a key data foundation is provided for subsequent shore power system operation and management.
And the electricity consumption data is uploaded to a database through the ship electricity consumption information acquisition module and matched with the ship information, so that the shore power management department can know the electricity consumption condition of each ship in real time, count, analyze and manage the electricity consumption data, meanwhile, the electricity consumption information can be correlated with other ship information through the association of the ship ID, the data analysis and detection module is used for counting and analyzing the ship electricity consumption information, alarming is carried out on abnormal electricity consumption data, illegal electricity consumption behaviors are found and recorded in time, and the electricity consumption supervision capability is improved.
The problems that the registration of a foreign ship login applet on a white list is difficult, manual input can be carried out only by manpower, the subsequent detection of shore power data is affected, and meanwhile, an accurate position matching function is lacking, so that electricity utilization resource waste or ship electricity utilization conflict are caused are solved.
Drawings
Fig. 1 is a frame diagram of a shore power system for automatic identification of a shore-based vessel according to the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Examples
Referring to fig. 1, the present application provides a shore power system for automatically identifying a shore-backing ship, comprising:
the ship identification and positioning module is used for identifying the ship and determining the position and the direction of the ship on berth;
the camera unit is arranged on the berth, captures the ship image of the berth area in real time through the camera, acquires the appearance characteristics of the ship, including the shape, the color and the identification of the ship, and provides data support for subsequent ship identification through continuously acquiring the ship image;
the relative positioning unit is used for accurately calculating the position and the direction of the ship on the berth through image processing and calculation by utilizing the image captured by the camera and the relative position information of the berth, determining the berth state of the ship, providing accurate position information for subsequent ship identification and power management, converting the relative coordinates of the position of the ship on the image and the berth into actual physical positions, and enabling the system to accurately position the berth position of the ship;
the specific steps of determining the position and the direction of the ship on berth through image processing and calculation by the relative positioning unit are as follows:
acquiring a ship image captured by a camera, and preprocessing the image, including noise reduction, contrast enhancement and image correction;
extracting characteristic information of the ship from the image by adopting edge detection and characteristic point extraction technologies, wherein the characteristic information comprises a ship body contour and a ship head and a ship tail position;
calibrating the feature points and the position information of the berth in advance to form a feature template of the berth, matching the feature information extracted from the ship image with the feature template of the berth, and finding the best matching position;
calculating the relative position coordinates of the ship on berths according to the matched berth characteristic points and the position information of the ship characteristic points;
calculating the direction angle of the ship according to the position information of the ship characteristic points;
according to the relative position coordinates and the ship direction angle, setting a relative position error angle and a range threshold, judging whether the ship is successfully berthed on berth or not when the relative position error angle and the range threshold are exceeded, and alarming;
in the relative positioning process, the starting point coordinates of the berth are set as (x 0, y 0), the relative position coordinates of the ship on the berth are set as (x_rel, y_rel), the direction angle of the ship is θ, and the coordinate transformation formula is as follows:
X abs ＝X 0 +X rel ；Y abs ＝Y 0 +Y rel ，
the angle calculation formula: θ=atan2 (Y) rel ，X rel )，
Wherein X is abs Is the absolute abscissa position of the ship on berth, namely the actual berthing position of the ship, X 0 Is the starting point abscissa position of the berth, represents the transverse position of the berth in the whole coordinate system, X rel Is the relative horizontal coordinate position of the ship on berth, namely the horizontal offset of the ship relative to the berth starting point, represents the horizontal position offset of the ship relative to berth, Y 0 Is the ordinate position of the starting point of the berth, Y rel The ship is in a relative ordinate position on berth, namely the longitudinal offset of the ship relative to the berth starting point;
in the relative positioning process, the relative position coordinates (X rel 、Y rel ) And then relative position coordinates and the start point coordinates (X 0 、Y 0 ) Coordinate transformation is performed to obtain absolute position coordinates (X abs ，Y abs ) Thereby judging whether the ship is successfully berthed on the berth or not;
the ship information identification and storage module is used for identifying the text information in the ship image and storing the identified ship information into the database;
an OCR optical character recognition unit for extracting identification information of the ship from the image of the ship, including the shape, color, identification, name and country of the ship;
a database unit storing the identified ship information into a database;
the OCR optical character recognition unit analyzes and processes the ship image captured by the camera, and specifically comprises the following steps:
preprocessing the ship image captured by the camera of the image, including noise reduction, graying and binarization;
using an edge detection and communication component analysis method to find a text region in the image;
character segmentation is carried out on the character area, each character is separated independently, OCR recognition is carried out on each character, and the character is converted into a corresponding character text;
gray level value calculation formula:
G RAY ＝0.299*R+0.587*G+0.114*B；
wherein R, G and B represent the red, green and blue channel values of the pixels in the image, respectively;
binarization threshold value calculation formula:
wherein T is d A binarized threshold value, (maxgray value is a maximum gray value, mingray value is a minimum gray value, and BinaryImage (x, y) is a gray value of a binary image (x, y);
in the binarization process, a pixel point with a gray value larger than the threshold value is set as 1, and a pixel point with a gray value smaller than or equal to the threshold value is set as 0 by calculating the threshold value of the gray image, so that a binary image is obtained, complex information in the image is simplified into black and white colors, and subsequent character recognition and image processing are facilitated;
performing edge detection by using a Sobel operator, finding out a text region in an image by adopting a connected component analysis method, and independently dividing each character;
identifying each character image by adopting a Tesseact model to obtain a character text;
the character information in the ship image is converted into readable electronic text through an OCR optical character recognition unit, and the identification information of the ship is extracted from the image through an OCR technology, so that a foundation is laid for subsequent ship recognition and data storage;
the ship information recognition and storage module extracts text information in the ship image through the OCR unit, then stores the recognized ship information into a database, accurately records and manages the identification information of the ship, and provides a key data basis for the subsequent operation and management of a shore power system;
the ship electricity consumption information acquisition module is used for collecting related data and information of electricity used by the ship on a shore power system;
the electric energy meter unit is used for installing an electric energy meter on a shore power facility and collecting electric energy consumption data of the shore power used by the ship;
the communication unit is used for uploading the electric energy consumption data to the database, matching the electric energy consumption data with ship information and establishing the association of the ship electricity information;
in the communication unit, the electric energy consumption data is uploaded to a database and matched with ship information, and the association of the ship electricity information is established, and the specific steps comprise:
the ship electricity consumption acquisition module is responsible for monitoring electricity consumption conditions of ships in real time, acquiring electricity consumption data, including voltage, current, power and electricity consumption time, and uploading the acquired electricity consumption data to the database unit through network connection;
adding a ship ID (identity) for storing in a ship electricity consumption data table, and associating the electricity consumption data with corresponding ship information;
in the ship electricity consumption information acquisition module, uploading data to a database after electricity consumption data are acquired each time;
when the electricity consumption of the ship needs to be inquired, the relevant electricity consumption data can be retrieved from the database through the inquiry operation of the database according to the ship ID;
the inquired result is ship electricity information, and the ship electricity information comprises ship ID and electricity data;
the electricity consumption data of the ships are uploaded to a database through the ship electricity consumption acquisition module and are matched with ship information, and the association of the ship electricity consumption is established, so that a shore power management department can know the electricity consumption condition of each ship in real time, count, analyze and manage the electricity consumption data, and meanwhile, the electricity consumption information can be associated with other ship information through the association of ship IDs;
the data analysis and detection module is responsible for carrying out statistics and analysis on ship electricity consumption data and carrying out anomaly detection on the ship electricity consumption data;
according to the ship electricity consumption stored in the database unit, calculating various statistical indexes of the ship electricity consumption, including total electricity consumption, average electricity consumption, electricity consumption duration and electricity consumption frequency, wherein a statistical index calculation formula comprises:
T p ＝Σ；T d ＝Σ t ；/>wherein T is p Sigma is the electric energy consumption, A is the total electricity consumption p Is average electricity consumption, n is the number of ships, T d For the duration of electricity Σ t For the electricity utilization time length, F is the electricity utilization frequency, and C is the electricity utilization times;
identifying abnormal conditions in ship electricity data based on a 3 sigma principle;
judging whether the data is abnormal or not according to the mean value and standard deviation of the data, wherein the specific steps are as follows:
there are n power data points: x is x 1 ,x 2 ,...x n Average value of thenStandard deviation->
Calculating an abnormal threshold based on the mean and standard deviationThe range is as follows: u (U) t ＝M n +3*S d ；L t ＝M n -3*S d ，
Wherein U is t As the upper threshold value, L t Is a lower threshold;
checking each power consumption data point and judging whether the power consumption data point exceeds a threshold range or not;
if a power utilization data point x is not at L t ，U t ]If the data point is within the range, marking the data point as abnormal and alarming;
the data analysis and detection module is used for carrying out statistics and analysis on the ship electricity consumption data and alarming abnormal electricity consumption data;
an illegal power consumption tracking and recording module for tracking and recording the conditions of unauthorized and non-compliant ships using shore power;
an alarm unit for setting the time limit of ship electricity consumption and triggering an alarm when the ship uses shore power overtime;
the violation recording unit is used for recording information of the violation ship, including overtime electricity utilization time length and frequency, and is used for data support of law enforcement departments;
in the alarm unit, a time limit for the electricity consumption of the vessels is set, i.e. the maximum time that each vessel can use shore power is specified;
the alarm unit performs data interaction with the ship electricity consumption information acquisition module to monitor the electricity consumption time of the ship in real time;
when the ship starts to use shore power, the alarm unit starts to count time and records the power utilization time of the ship;
when the electricity utilization time of a certain ship exceeds the set time limit, the alarm unit triggers an alarm mechanism;
the alarm unit sends an alarm notice to a shore power management department;
the alarm unit records the event triggering the alarm into a database, including the ship name, the triggering time and the ship position.
In the present application, the above is combined with the above matters:
the shore power system for the automatic identification of the shore-backing ship provided by the application is used for identifying and determining the shipThe position module automatically identifies the information of the ship without depending on white list or code scanning operation, and in the relative positioning process, the relative position coordinate (X) of the ship on berth is obtained through image processing and calculation rel 、Y rel ) And then relative position coordinates and the start point coordinates (X 0 、Y 0 ) Coordinate transformation is performed to obtain absolute position coordinates (X abs ，Y abs ) Therefore, whether the ship is successfully berthed on the berth is judged, the position and the direction of the ship on the berth are accurately calculated, and the berth and the berthing power utilization ship are matched.
After the relative positioning unit is introduced, the OCR unit can automatically extract the identification information of the ship from the ship image, the ship name and the ship nationality, the character information in the ship image is converted into readable electronic text through the OCR optical character recognition unit, the identification information of the ship is extracted from the image through the OCR technology, a foundation is laid for subsequent ship recognition and data storage, the ship information recognition and storage module extracts the character information in the ship image through the OCR unit, then the recognized ship information is stored in the database, the identification information of the ship is accurately recorded and managed, and a key data foundation is provided for subsequent shore power system operation and management.
And the electricity consumption data is uploaded to a database through the ship electricity consumption information acquisition module and matched with the ship information, so that the shore power management department can know the electricity consumption condition of each ship in real time, count, analyze and manage the electricity consumption data, meanwhile, the electricity consumption information can be correlated with other ship information through the association of the ship ID, the data analysis and detection module is used for counting and analyzing the ship electricity consumption information, alarming is carried out on abnormal electricity consumption data, illegal electricity consumption behaviors are found and recorded in time, and the electricity consumption supervision capability is improved.
In the description of the embodiments of the present application, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the application, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. Shore power system for automatic identification of a shore-backing ship, comprising:
the ship identification and positioning module is used for identifying the ship and determining the position and the direction of the ship on berth;
the ship information identification and storage module is used for identifying the text information in the ship image and storing the identified ship information into the database;
the ship electricity consumption information acquisition module is used for collecting related data and information of electricity used by the ship on a shore power system;
the data analysis and detection module is responsible for carrying out statistics and analysis on ship electricity consumption data and carrying out anomaly detection on the ship electricity consumption data;
and the illegal power utilization tracking and recording module is used for tracking and recording the conditions of unauthorized and non-compliant ship power utilization.
2. The shore power system of automatic identification of a shore-based vessel of claim 1, wherein said vessel identification and positioning module comprises:
the camera unit is arranged on the berth, captures the ship image of the berth area in real time through the camera, and obtains the appearance characteristics of the ship, including the shape, the color and the mark of the ship body;
the relative positioning unit is used for accurately calculating the position and the direction of the ship on the berth through image processing and calculation by utilizing the image captured by the camera and the relative position information of the berth, determining the berth state of the ship, providing accurate position information for subsequent ship identification and power management, and converting the relative coordinates of the position of the ship on the image and the berth into actual physical positions.
3. The shore power system for automatic identification of a shore-backed ship according to claim 2, wherein the specific steps of the relative positioning unit for determining the position and direction of the ship on berth through image processing and calculation are as follows:
acquiring a ship image captured by a camera, and preprocessing the image, including noise reduction, contrast enhancement and image correction;
extracting characteristic information of the ship from the image by adopting edge detection and characteristic point extraction technologies, wherein the characteristic information comprises a ship body contour and a ship head and a ship tail position;
calibrating the feature points and the position information of the berth in advance to form a feature template of the berth, matching the feature information extracted from the ship image with the feature template of the berth, and finding the best matching position;
calculating the relative position coordinates of the ship on berths according to the matched berth characteristic points and the position information of the ship characteristic points;
calculating the direction angle of the ship according to the position information of the ship characteristic points;
according to the relative position coordinates and the ship direction angle, setting a relative position error angle and a range threshold, judging whether the ship is successfully berthed on berth or not when the relative position error angle and the range threshold are exceeded, and alarming;
in the relative positioning process, the starting point coordinates of the berth are set as (x 0, y 0), the relative position coordinates of the ship on the berth are set as (x_rel, y_rel), the direction angle of the ship is θ, and the coordinate transformation formula is as follows:
X abs ＝X 0 +X rel ，
Y abs ＝Y 0 +Y rel ，
the angle calculation formula:
θ＝atan2(Y rel ，X rel )，
wherein X is abs Is the absolute abscissa position of the ship on berth, namely the actual berthing position of the ship, X 0 Is the starting point abscissa position of the berth, represents the transverse position of the berth in the whole coordinate system, X rel Is the relative horizontal coordinate position of the ship on berth, namely the horizontal offset of the ship relative to the berth starting point, represents the horizontal position offset of the ship relative to berth, Y 0 Is the ordinate position of the starting point of the berth, Y rel Is the relative ordinate position of the ship on berthThe position, i.e. the longitudinal offset of the vessel with respect to the berthing start point.
4. The shore power system of automatic identification of a shore-based ship of claim 1, wherein said ship information identification and storage module comprises:
an OCR optical character recognition unit for extracting identification information of the ship from the image of the ship, including the shape, color, identification, name and country of the ship;
and the database unit is used for storing the identified ship information into the database.
5. The shore power system for automatic recognition of a shore-backed ship according to claim 4, wherein the OCR optical character recognition unit analyzes and processes the ship image captured by the camera, specifically comprising:
preprocessing the ship image captured by the camera of the image, including noise reduction, graying and binarization;
using an edge detection and communication component analysis method to find a text region in the image;
character segmentation is carried out on the character area, each character is separated independently, OCR recognition is carried out on each character, and the character is converted into a corresponding character text;
gray level value calculation formula:
G RAY ＝0.299*R+0.587*G+0.114*B，
wherein R, G and B represent the red, green and blue channel values of the pixels in the image, respectively;
binarization threshold value calculation formula:
wherein T is d A binarized threshold value, (maxgray value is a maximum gray value, mingray value is a minimum gray value, and BinaryImage (x, y) is a gray value of a binary image (x, y);
performing edge detection by using a Sobel operator, finding out a text region in an image by adopting a connected component analysis method, and independently dividing each character;
and identifying each character image by adopting a Tesseact model to obtain a character text.
6. The shore power system of automatic identification of a shore-based ship of claim 1, wherein said ship electricity information acquisition module comprises:
the electric energy meter unit is used for installing an electric energy meter on a shore power facility and collecting electric energy consumption data of the shore power used by the ship;
and the communication unit is used for uploading the electric energy consumption data to the database, matching the electric energy consumption data with ship information and establishing the association of ship electricity consumption.
7. The shore power system for automatic identification of a shore-backed ship according to claim 6, wherein in the communication unit, the power consumption data is uploaded to a database and matched with ship information, and the specific step of establishing the association of the ship power information comprises the steps of:
the ship electricity consumption acquisition module is responsible for monitoring electricity consumption conditions of ships in real time, acquiring electricity consumption data, including voltage, current, power and electricity consumption time, and uploading the acquired electricity consumption data to the database unit through network connection;
adding a ship ID (identity) for storing in a ship electricity consumption data table, and associating the electricity consumption data with corresponding ship information;
in the ship electricity consumption information acquisition module, uploading data to a database after electricity consumption data are acquired each time;
when the electricity consumption of the ship needs to be inquired, the relevant electricity consumption data can be retrieved from the database through the inquiry operation of the database according to the ship ID;
and the result of the inquiry is the ship electricity information, and the ship electricity information comprises the ship ID and electricity data.
8. The shore power system for automatic identification of a shore-based ship according to claim 1, wherein in the data analysis and detection module, various statistical indexes of the ship power are calculated according to the ship power consumption stored in the database unit, including total power consumption, average power consumption, power consumption duration and power consumption frequency, and a statistical index calculation formula includes:
T p ＝Σ；T d ＝Σ t ；/>
wherein T is p Sigma is the electric energy consumption, A is the total electricity consumption p Is average electricity consumption, n is the number of ships, T d For the duration of electricity Σ t For the electricity utilization time length, F is the electricity utilization frequency, and C is the electricity utilization times;
identifying abnormal conditions in ship electricity data based on a 3 sigma principle;
judging whether the data is abnormal or not according to the mean value and standard deviation of the data, wherein the specific steps are as follows:
there are n power data points: x is x 1 ,x 2 ,...x n Average value of thenStandard deviation->
Based on the mean and standard deviation, calculating a threshold range of anomalies:
U t ＝M n +3*S d ；
L t ＝M n -3*S d ；
wherein U is t As the upper threshold value, L t Is a lower threshold;
checking each power consumption data point and judging whether the power consumption data point exceeds a threshold range or not;
if a power utilization data point x is not at L t ，U t ]And if the data points are within the range, marking the data points as abnormal and alarming.
9. The shore power system of automatic identification of a shore power hooping vessel of claim 1, wherein said illegal power tracking and recording module comprises:
an alarm unit for setting the time limit of ship electricity consumption and triggering an alarm when the ship uses shore power overtime;
and the violation recording unit is used for recording information of the violation ship, including overtime electricity utilization time length and frequency, and is used for data support of law enforcement departments.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311190547.8A CN116977435A (en) | 2023-09-15 | 2023-09-15 | Shore power system for automatic identification of ship on shore |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311190547.8A CN116977435A (en) | 2023-09-15 | 2023-09-15 | Shore power system for automatic identification of ship on shore |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116977435A true CN116977435A (en) | 2023-10-31 |
Family
ID=88471604
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311190547.8A Pending CN116977435A (en) | 2023-09-15 | 2023-09-15 | Shore power system for automatic identification of ship on shore |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116977435A (en) |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130187592A1 (en) * | 2012-01-20 | 2013-07-25 | Ship And Ocean Industries R&D Center | On-shore electrical charging system and method thereof |
| CN110689279A (en) * | 2019-10-12 | 2020-01-14 | 上海积成能源科技有限公司 | System and method for analyzing potential safety hazard of residential electricity consumption based on power load data |
| CN111555277A (en) * | 2020-05-19 | 2020-08-18 | 广东电科院能源技术有限责任公司 | Port shore power automatic charging and method |
| CN112260400A (en) * | 2020-09-29 | 2021-01-22 | 许继电源有限公司 | Ship shore power monitoring control system and method |
| CN113255486A (en) * | 2021-05-13 | 2021-08-13 | 华设设计集团股份有限公司 | Parking space occupation detection method based on high-level video monitoring |
| CN113505935A (en) * | 2021-07-26 | 2021-10-15 | 上海东方低碳科技产业股份有限公司 | Electric power abnormal fluctuation detection and prediction calculation method based on integrated algorithm |
| CN215416687U (en) * | 2021-05-31 | 2022-01-04 | 南京三宝科技股份有限公司 | Ship berthing supervision system |
| CN114530056A (en) * | 2022-02-15 | 2022-05-24 | 超级视线科技有限公司 | Parking management method and system based on positioning information and image information |
| CN114759669A (en) * | 2022-04-02 | 2022-07-15 | 交通运输部水运科学研究所 | Control device, method and terminal for ship shore power system |
| CN114882204A (en) * | 2022-03-07 | 2022-08-09 | 厦门卫星定位应用股份有限公司 | Automatic ship name recognition method |
| CN114942402A (en) * | 2022-07-20 | 2022-08-26 | 武汉格蓝若智能技术有限公司 | Abnormal electric energy meter positioning method and system |
| CN115603466A (en) * | 2022-12-14 | 2023-01-13 | 江苏交科能源科技发展有限公司（Cn） | Ship shore power system based on artificial intelligence visual recognition and control method thereof |
| CN116386373A (en) * | 2023-06-05 | 2023-07-04 | 好停车(北京)信息技术有限公司天津分公司 | Vehicle positioning method and device, storage medium and electronic equipment |
| CN116647774A (en) * | 2023-06-13 | 2023-08-25 | 上海振华重工(集团)股份有限公司 | Ship water and electricity combined operation system and management system for wharf |
-
2023
- 2023-09-15 CN CN202311190547.8A patent/CN116977435A/en active Pending
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130187592A1 (en) * | 2012-01-20 | 2013-07-25 | Ship And Ocean Industries R&D Center | On-shore electrical charging system and method thereof |
| CN110689279A (en) * | 2019-10-12 | 2020-01-14 | 上海积成能源科技有限公司 | System and method for analyzing potential safety hazard of residential electricity consumption based on power load data |
| CN111555277A (en) * | 2020-05-19 | 2020-08-18 | 广东电科院能源技术有限责任公司 | Port shore power automatic charging and method |
| CN112260400A (en) * | 2020-09-29 | 2021-01-22 | 许继电源有限公司 | Ship shore power monitoring control system and method |
| CN113255486A (en) * | 2021-05-13 | 2021-08-13 | 华设设计集团股份有限公司 | Parking space occupation detection method based on high-level video monitoring |
| CN215416687U (en) * | 2021-05-31 | 2022-01-04 | 南京三宝科技股份有限公司 | Ship berthing supervision system |
| CN113505935A (en) * | 2021-07-26 | 2021-10-15 | 上海东方低碳科技产业股份有限公司 | Electric power abnormal fluctuation detection and prediction calculation method based on integrated algorithm |
| CN114530056A (en) * | 2022-02-15 | 2022-05-24 | 超级视线科技有限公司 | Parking management method and system based on positioning information and image information |
| CN114882204A (en) * | 2022-03-07 | 2022-08-09 | 厦门卫星定位应用股份有限公司 | Automatic ship name recognition method |
| CN114759669A (en) * | 2022-04-02 | 2022-07-15 | 交通运输部水运科学研究所 | Control device, method and terminal for ship shore power system |
| CN114942402A (en) * | 2022-07-20 | 2022-08-26 | 武汉格蓝若智能技术有限公司 | Abnormal electric energy meter positioning method and system |
| CN115603466A (en) * | 2022-12-14 | 2023-01-13 | 江苏交科能源科技发展有限公司（Cn） | Ship shore power system based on artificial intelligence visual recognition and control method thereof |
| CN116386373A (en) * | 2023-06-05 | 2023-07-04 | 好停车(北京)信息技术有限公司天津分公司 | Vehicle positioning method and device, storage medium and electronic equipment |
| CN116647774A (en) * | 2023-06-13 | 2023-08-25 | 上海振华重工(集团)股份有限公司 | Ship water and electricity combined operation system and management system for wharf |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109993056A (en) | A kind of method, server and storage medium identifying vehicle violation behavior | |
| CN113469966B (en) | Train bolt looseness detection method based on anti-loosening line identification | |
| Yogheedha et al. | Automatic vehicle license plate recognition system based on image processing and template matching approach | |
| CN108806334A (en) | A kind of intelligent ship personal identification method based on image | |
| CN106384513A (en) | Fake-licensed car capturing system and method based on intelligent traffic | |
| CN109657676A (en) | Licence plate recognition method and system based on convolutional neural networks | |
| CN105550710A (en) | Nonlinear fitting based intelligent detection method for running exception state of contact network | |
| CN106327876B (en) | A kind of fake-licensed car capture system and method based on automobile data recorder | |
| CN111223081A (en) | Part hole opening recognition and detection method and system based on deep learning | |
| Zhu et al. | Detection for triangle traffic sign based on neural network | |
| CN113657151A (en) | Water traffic violation detection method based on YOLO target detection algorithm | |
| CN116977435A (en) | Shore power system for automatic identification of ship on shore | |
| CN111915561A (en) | Bolt state monitoring method based on image recognition and machine learning | |
| CN105740831B (en) | A kind of stopping line detecting method applied to intelligent driving | |
| US20230342937A1 (en) | Vehicle image analysis | |
| CN112330633B (en) | Jumper wire adhesive tape damage fault image segmentation method based on self-adaptive band-pass filtering | |
| Thaiparnit et al. | Tracking vehicles system based on license plate recognition | |
| CN112329770B (en) | Instrument scale identification method and device | |
| CN111753842B (en) | Method and device for detecting text region of bill | |
| CN109886133B (en) | Ship detection method and system based on optical remote sensing image | |
| CN111723710A (en) | License plate recognition method based on neural network | |
| Zhangfan et al. | License plate location method based on modified HSI model of color image | |
| CN117095388B (en) | Method and system for identifying and checking operation number of integrated card in stack area | |
| CN114549811B (en) | License plate identification method based on license plate spacer body characteristics | |
| Naz et al. | Vehicle License-Plate Recognition |
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 |