KR101606169B1 - Apparatus and method for maniging ship corrosion information using auto-recognition 3d shape model - Google Patents

Apparatus and method for maniging ship corrosion information using auto-recognition 3d shape model Download PDF

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KR101606169B1
KR101606169B1 KR1020150046347A KR20150046347A KR101606169B1 KR 101606169 B1 KR101606169 B1 KR 101606169B1 KR 1020150046347 A KR1020150046347 A KR 1020150046347A KR 20150046347 A KR20150046347 A KR 20150046347A KR 101606169 B1 KR101606169 B1 KR 101606169B1
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corrosion
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shape
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이한민
박성환
이재경
차무현
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한국기계연구원
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Abstract

The ship corrosion management apparatus using the three-dimensional hull shape automatic recognition method according to the present invention classifies thickness measurement data measured from a plurality of members constituting a ship into a standard member group, A standard shape data recognition unit for grouping the non-grouped three-dimensional hull shape data of the target ship in consideration of the connection relationship between the members and the direction of the members, and a corrosion rate And a mapping processor for mapping the data and the grouped three-dimensional hull form data to verify the predicted life span of the recognized three-dimensional hull form data.

Figure R1020150046347

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to a ship corrosion management apparatus and method using an automatic three-dimensional hull shape recognition method,

TECHNICAL FIELD The present invention relates to a technique for managing shelf corrosion, and more particularly, to a technique for recognizing the corrosion state of a ship on a member-by-member basis.

Ships that are always exposed to seawater containing salinity and moist air of the ocean are always exposed to the risk of wet electrochemical corrosion. Much of the damage caused by structural defects in the ship is caused by corrosion damage. Therefore, the Society has been working on strengthening the ship's reference inspection of hull corrosion conditions, providing repair instructions for overly corroded hull members, and developing a corrosion rate model.

In the TSCF (Tanker Structure Co-operative Forum), we derive a corrosion damage prediction model using probability statistical methods based on vast amounts of data on oil tankers. In general, the corrosion test through the hull inspection is a costly operation, but the measurement data are not utilized effectively enough. For this reason, for more effective corrosion state testing, models are being studied on various corrosion damage based on data measured from the corrosion state. However, in the conventional method of inspecting the ship corrosion, the measurement data of the corrosion state model generated by measuring the corrosion state of the ship is insufficient, and it is difficult to relieve the generated corrosion state model. Further, the corrosion state of the ship is not effectively recognized. Japanese Patent Application Laid-Open No. 10-2012-132893 discloses a method for predicting the life of a ship by measuring the corrosion resistance of the surface of a steel material in an environment in which coal is placed, but it is merely a method for predicting corrosion through experimental results, The corrosion state of the steel sheet is not effectively recognized.

Japanese Patent Laid-Open No. 10-2012-132893

A problem to be solved by the present invention is to provide a three-dimensional hull shape automatic method for automatically recognizing a member corresponding to three-dimensional hull form data (three-dimensional hull form model) based on thickness measurement data measured from a ship, And to provide a vessel corrosion management apparatus and method using the recognition method.

The ship corrosion management apparatus using the three-dimensional hull shape automatic recognition method according to the present invention classifies thickness measurement data measured from a plurality of members constituting a ship into a standard member group, A standard shape data recognition unit for grouping the non-grouped three-dimensional hull shape data of the target ship in consideration of the connection relationship between the members and the direction of the members, and a corrosion rate And a mapping processor for mapping the data and the grouped three-dimensional hull form data to verify the predicted life span of the recognized three-dimensional hull form data. The ship corrosion management apparatus using the three-dimensional hull shape automatic recognition method includes a thickness measurement unit for measuring the thickness of a plurality of members constituting a target ship and generating thickness measurement data and a two- Dimensional hull shape data of the hull shape management unit.

The standard data calculator calculates the corrosion rate for each thickness data from the classified thickness measurement data, calculates the frequency by the calculated corrosion rate, and calculates the corrosion rate by applying Least Square Method to the calculated frequency . The thickness measurement data may be experimental data measured by the thickness measuring unit 110 or accumulated data collected from various ships.

The standard shape recognition unit identifies the direction of the member of each member model constituting the ungrouped three-dimensional hull form data and the member adjacent to the member model, and compares the member adjacent to the identified member with the shape recognition table The corresponding member is recognized.

The ship corrosion management method using the three-dimensional hull shape automatic recognition method according to the present invention first classifies the thickness measurement data into a standard member group, and calculates the corrosion speed per member from the classified thickness measurement data. Then, the ungrouped three-dimensional hull shape data is grouped in consideration of the direction of the member and the connection relationship between the members along the adjacent members. Next, the predicted lifetime of the recognized three-dimensional hull form data is confirmed by mapping the corrosion rate data classified by the standard member and the grouped three-dimensional hull form data. The method may further include the step of calculating three-dimensional hull form data not grouped from the two-dimensional drawing (design diagram) of the target ship.

The step of recognizing the member corresponding to the non-grouped three-dimensional hull form data identifies the member of each member model constituting the ungrouped three-dimensional hull form data and the member adjacent to the member model, And recognizes the corresponding member by comparing the member adjacent to the direction of the formed member to the shape recognition table.

The vessel corrosion management apparatus and method using the three-dimensional hull shape automatic recognition method according to the present invention can recognize the three-dimensional hull shape data based on the direction of the member and information on the adjacent members. Therefore, it is possible to directly apply the corrosion rate separated by the standard member to the three-dimensional hull shape data without additional recognition process, thereby visualizing the corrosion state and predicting the life of the ship due to corrosion.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a block diagram showing an embodiment of a ship corrosion management apparatus using a three-dimensional hull shape automatic recognition method according to the present invention.
FIG. 2 is a flowchart illustrating a recognition process of a ship corrosion management apparatus using a three-dimensional hull shape automatic recognition method according to an embodiment of the present invention.
3 is a view showing an example of a standard member group table of a ship corrosion management apparatus using a three-dimensional hull shape automatic recognition method according to an embodiment of the present invention.
4 is a view for explaining a corrosion rate calculation process of a ship corrosion management apparatus using a three-dimensional hull shape automatic recognition method according to an embodiment of the present invention.
5A and 5B are views for explaining a shape recognition process for a member of a ship corrosion management apparatus using a three-dimensional hull shape automatic recognition method according to an embodiment of the present invention.
FIG. 6 is a flowchart illustrating a method of managing marine corrosion using a three-dimensional hull shape automatic recognition method according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. The terms and words used in the present specification are selected in consideration of the functions in the embodiments, and the meaning of the terms may vary depending on the intention or custom of the invention. Therefore, the terms used in the following embodiments are defined according to their definitions when they are specifically defined in this specification, and unless otherwise specified, they should be construed in a sense generally recognized by those skilled in the art.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a block diagram showing an embodiment of a ship corrosion management apparatus using a three-dimensional hull shape automatic recognition method according to the present invention.

A ship corrosion management apparatus (hereinafter referred to as a vessel corrosion management apparatus) 100 using a three-dimensional hull shape automatic recognition method according to the present invention includes a thickness measurement unit 110, a standard data calculation unit 120, a standard standard shape recognition unit 130, a mapping processor 140, and a standard hull shape management unit 150.

The thickness measuring unit 110 is a measuring instrument capable of measuring the thickness of a ship, and various measuring apparatuses such as an ultrasonic measuring instrument and a laser measuring instrument can be utilized without limitation. The thickness measuring unit 110 transmits the measured thickness measurement data from the plurality of members constituting the ship to the standard data calculating unit 120. [ Alternatively, the thickness measuring unit 110 may store the thickness measurement data generated by measuring the thickness of the steel sheet at a specific position of each member of the ship in accordance with a method prescribed by the Society, in the form of a thickness measurement sheet, The thickness measurement data according to the measurement chart can be transmitted to the standard data calculation unit 120. The thickness measuring unit 110 is a measuring device capable of measuring the thickness of the ship, and can utilize various measuring devices such as an ultrasonic measuring instrument and a laser measuring instrument without limitation. The standard data calculating unit 120 is a pre- The thickness measurement data is classified into a standard member group, and the corrosion rate per standard member is calculated from the thickness measurement data classified into the standard member group. First, the standard data calculation unit 120 classifies the thickness measurement data into a standard member group. Since the thickness measurement data is a thickness measurement by position, the calculation of the corrosion rate is required to predict the remaining service life of each member. However, for reasons such as lack of measurement data and uncertainty of corrosion phenomena, the members of similar environmental conditions are grouped together (by standard member group), and the corrosion rate is calculated through a probability statistical process. The thickness measurement data may be experimental data measured by the thickness measuring section 110 under a specific condition, and may be accumulated data collected from various ships. The standard data calculation unit 120 classifies a plurality of members constituting the ship according to the rules specified in the Rules for the Classification of Korean Registers and groups them. The grouped member preferably sets the number of the thickness measurement positions and the number of measurement points.

The standard data calculating unit 120 processes the thickness measurement data classified by the group through the probability statistical model to calculate the corrosion rate for each standard member. The standard data calculation unit 120 transmits the calculated corrosion rate data for each standard member to the mapping processor 140 when the corrosion rate for each standard member is calculated.

The hull shape management unit 150 stores and manages three-dimensional hull shape data for various ships. The hull shape management unit 150 calculates a three-dimensional hull form from a two-dimensional drawing (design diagram) of the ship, and generates and stores three-dimensional hull form data for the ship. Alternatively, the hull form management unit 150 can receive and store the three-dimensional hull form data from the outside. As an example, Korean shipowners use hull management software such as SLM (Ship Lifecycle Management) system to model and use 3D hull form. The three-dimensional hull shape data stored in the hull shape management unit 150 is a general shape model that is not grouped according to the standard member group. The hull shape management unit 150 transmits the stored three-dimensional hull form data to the standard shape recognition unit 130. [

The standard shape recognition unit 130 receives the non-grouped three-dimensional hull form data from the hull form management unit 150. The three-dimensional hull shape data (three-dimensional hull shape model) is used to calculate measurement information (measurement value) about the length (X axis) direction, the string (Y axis) direction and the height (Z axis) . The three-dimensional hull form data is compared with the three-dimensional hull form data that is not grouped with respect to each of the members constituting the object ship, and the standard shape recognition unit 130 recognizes the shape of each member, . The shape recognition table is information for identifying each member constituting the ship, and includes information on each member, adjacency member, and information on the direction of each member. The standard shape recognition unit 130 transmits the grouped three-dimensional hull form data to the mapping processor 140 through the member shape recognition process.

The mapping processor 140 maps the corrosion rate data per standard member received from the standard data calculator 120 and the grouped three-dimensional hull form data received from the standard shape recognition unit 130 to each other. The corrosion rate data per standard member received from the standard data calculation unit 120 includes information on the rate at which each member classified into the standard member group corrodes with time in each corrosion environment. Accordingly, the mapping processor 140 can confirm the corrosion rate of each recognized member included in the grouped three-dimensional hull shape data by the standard member through the mapping process. Then, the mapping processor 140 visualizes the corrosion state of the recognized shape with respect to each member constituting the target ship. The mapping processor 140 can confirm the predicted life span by comparing the corrosion rate of the shape recognized for each member with the corrosion rate for each standard member through the mapping process. The mapping processor 140 may display information on the corrosion state on the screen to provide information to the user.

FIG. 2 is a flowchart illustrating a recognition process of a ship corrosion management apparatus using a three-dimensional hull shape automatic recognition method according to an embodiment of the present invention.

Referring to FIG. 2, the recognition process of the marine corrosion management apparatus 100 can be largely divided into a corrosion rate calculation step (Step S201 to Step S205) for each member, which is a pre-process, (Steps S206 to S208), and recognizing the corrosion state (S209 and S210) through the member corrosion rate and member shape model data for the standard member.

As a preprocessing process, first, the standard data calculating unit 120 receives thickness measurement data from the thickness measuring unit 110 (S201). The thickness measuring unit 110 stores the thickness measurement data generated by measuring the thickness of the steel plate at a specific position of each member of the ship in accordance with a method prescribed by the Society in the form of a thickness measurement sheet, To the standard data calculation unit 120. The standard data calculation unit 120 may calculate the thickness data based on the thickness measurement data. Thickness measurement data is data for calculating the erosion rate of the standard member rice paddle, and includes information on the measurement thickness of each of a plurality of members constituting the ship and the period of exposure to seawater. The coating method, , Structural design, corrosion environment, ballast, tank management status, and cargo loading conditions. The thickness measurement data may be experimental data measured by the thickness measuring unit 110 under specific conditions, and may be accumulated data collected from various vessels. The thickness measuring unit 110 is a measuring instrument capable of measuring the thickness of the ship, and various measurement apparatuses such as an ultrasonic measuring instrument and a laser measuring instrument can be utilized without limitation.

When the thickness measurement data is received, the standard data calculation unit 120 classifies the received thickness measurement data into a standard member group (S202). The thickness measurement data includes information on each of a plurality of members constituting the ship. Therefore, the standard data calculation unit 120 classifies and groups the plurality of members constituting the ship according to the rules specified in the Rules for the Classification of Korean Register of Shipping. The grouped member preferably sets the number of the thickness measurement positions and the number of the measurement points. An example of a standard member group is further described in Fig.

Next, the standard data calculating unit 120 calculates the corrosion rate for each standard member (S204) by processing the thickness measurement data classified by the group through the probability statistical model (S203). Corrosion rate can vary depending on the coating method, presence of the system, maintenance information, structural design, corrosion environment, ballast, tank management status and load, and corrosion rate is generally an uncertainty factor. To solve this problem, a corrosion rate model can be generated as a probability statistical model through stochastic processing. The process of generating the corrosion rate model as a probability statistical model through probability statistical processing will be further described in FIG. 4, which will be described later. The standard data calculation unit 120 transmits the calculated corrosion rate data for each standard member to the mapping processor 140 when the corrosion rate for each standard member is calculated. The calculation of the corrosion rate for each member of the standard member in steps S201 to S205 may be performed before performing steps S206 to S210 as a pre-process.

The standard shape recognition unit 130 receives non-grouped three-dimensional hull shape data that requires recognition of the corrosion state from the hull shape management unit 150 (S206). The hull form management unit 150 can calculate the three-dimensional hull form from the two-dimensional drawing (design diagram) of the ship or can receive and store the three-dimensional hull form data from the outside. As an example, Korean shipowners use hull management software such as SLM (Ship Lifecycle Management) system to model and use 3D hull form. The three-dimensional hull shape data stored in the hull shape management unit 150 is a general shape model that is not grouped according to the standard member group.

When the non-grouped three-dimensional hull form data is received, the standard shape recognition unit 130 receives the received three-dimensional hull form data and three-dimensional hull form data as three-dimensional hull form data, The data is compared with the shape recognition table to recognize the shape of each member (S207). The shape recognition table is information for identifying each member constituting the ship, and includes information on each member, adjacency member, and information on the direction of each member. The standard shape recognition unit 130 compares the three-dimensional hull shape data with the shape recognition table and determines the relationship between the three-dimensional hull shape data and the standard member by considering the relationship with adjacent members (connection relationship between members along adjacent members) Recognizes the member corresponding to the three-dimensional hull form data among the groups. The recognized member corresponds to the standard member group classified in step S202. A specific shape recognition process of the standard shape recognition unit 130 will be described in further detail with reference to FIG. 5, which will be described later. Then, the standard shape recognition unit 130 transfers the grouped three-dimensional hull shape data to the mapping processor 140 through the member recognition process (S208).

The mapping processor 140 maps the corrosion rate data of the standard members received from the standard data calculator 120 and the grouped three-dimensional hull form data received from the mapping processor 140 to each other (S209). The corrosion rate data per standard member received from the standard data calculation unit 120 includes information on the rate at which each member classified into the standard member group corrodes with time in each corrosion environment. Accordingly, the mapping processor 140 can confirm the corrosion rate of each recognized member included in the grouped three-dimensional hull shape data by the standard member through the mapping process.

Then, the mapping processor 140 visualizes the corrosion state of the recognized shape with respect to each member constituting the target ship (S210). The mapping processor 140 can identify the currently corroded state in each recognized shape (generally corrosion can be identified as a thickness variation). In addition, the mapping processor 140 can confirm the corrosion rate of each standard member. Through the mapping process of step S210, the mapping processor 140 compares the degree of corrosion of the shape recognized for each member with the corrosion rate for each standard member, and can confirm how long each member is exposed to seawater for a period of time , And predicted life span. The mapping processor 140 may display information on the corrosion state on the screen to provide information to the user.

3 is a view showing an example of a standard member group table of a ship corrosion management apparatus using a three-dimensional hull shape automatic recognition method according to an embodiment of the present invention.

Referring to FIG. 3, the marine corrosion management apparatus 100 according to the present invention utilizes the standard member group table 300 in the process of sorting thickness measurement data into standard member groups (S202). The standard member group table 300 includes a plurality of members divided into a main member 310 and a detail group member 320 of the main member 310 as a reference for sorting each of the plurality of members constituting the ship , And includes information about the corrosion environment and the TM sheet of each distinguished lower sub-member 510. The standard data calculation unit 120 classifies a plurality of members constituting the ship into standard member groups based on the standard member group table 300. [

4 is a view for explaining a corrosion rate calculation process of a ship corrosion management apparatus using a three-dimensional hull shape automatic recognition method according to an embodiment of the present invention.

Referring to FIG. 4, the corrosion rate calculation process based on the probability statistics first calculates the corrosion rate from equation (1) for each thickness data from the measured metal member thickness measurement data. As described above, the corrosion produced in the member is also irregular because the depth, shape and area of the corrosion are very irregular. Therefore, the corrosion rate is calculated for each thickness data, and the calculated frequency rate 402 for each corrosion rate is calculated. Then, the first corrosion rate model 401 is generated by constructing a probability statistical model using the equation (2), (3), and (4)

Figure 112015032134698-pat00001

In Equation (1)

Figure 112015032134698-pat00002
Corrosion rate,
Figure 112015032134698-pat00003
Is the measured corrosion thickness, T is the test year and
Figure 112015032134698-pat00004
Represents the coating period.

Then, the frequency of each corrosion rate is calculated using the following equation (2).

Figure 112015032134698-pat00005

Equation (2) represents a Weibull Probability Density Function. In Equation 2,

Figure 112015032134698-pat00006
The
Figure 112015032134698-pat00007
X is the rate of corrosion,
Figure 112015032134698-pat00008
Is the scale parameter,
Figure 112015032134698-pat00009
Represents a shape parameter.

Figure 112015032134698-pat00010

Equation (3) represents a Weibull Cumulative Distribution Function. In Equation 3,

Figure 112015032134698-pat00011
Corrosion rate
Figure 112015032134698-pat00012
And the cumulative frequency.

Figure 112015032134698-pat00013

Figure 112015032134698-pat00014

Figure 112015032134698-pat00015

Equation 4 represents a linearized equation for statistical model fitting. The Least Square Method is applied to the thickness measurement data measured from Equation (4), and the scale parameter of Equation (2)

Figure 112015032134698-pat00016
And shape parameters
Figure 112015032134698-pat00017
. The corrosion rate model generation unit generates the corrosion rate model 401 through the probability model fitting with respect to the corrosion time frequency 402 generated from the thickness measurement data measured through Equations 2, 3 and 4. Through this process, the standard data calculation unit 120 can calculate the corrosion rate for each standard member. The calculation process of the corrosion rate based on the probability statistics shown in FIG. 4 is only described as one embodiment. It is not limited to the process of calculating the corrosion rate for each standard member, and various probability statistics can be applied have.

5A and 5B are views for explaining a shape recognition process for a member of a ship corrosion management apparatus using a three-dimensional hull shape automatic recognition method according to an embodiment of the present invention.

FIG. 5A is a view showing a connection relationship of lower detail members of a standard member group of a marine corrosion management apparatus according to an embodiment of the present invention. FIG.

5B is a view showing a shape recognition table for each member for recognizing the shape of each member of the ship corrosion management apparatus according to an embodiment of the present invention.

Referring to FIGS. 5A and 5B, an example of FIG. 5A shows a connection relationship between the lower detail members 510 of the standard member group table 300. The standard members constituting the ship are connected to each other as shown in FIG. 5A. The shape recognizing process (S208) of the standard shape recognizing part 130 recognizes the three-dimensional hull shape data using the connection relationship shown in FIG. 5A. In the lower detail member 510 of FIG. 5A, A represents the longitudinal direction and B represents the transverse section.

The member shape recognition table 520 includes information on the direction of the adjacency member and the member for each of the plurality of members constituting the ship. Since the plurality of members (No. 1 to No. 25) constituting the ship have a form coupled to each other, one member is connected to the other member. The members thus connected are defined as adjacent members. The direction of the member shows the directionality of each member as shown in Fig. 5A. The direction of the member can be divided into a plane (XY plane, XZ plane and YZ plane) formed by the X axis, Y axis and Z axis, a sloping direction and a perpendicular direction. In the direction of the member, the X direction indicates the longitudinal direction, the Y direction indicates the present direction, and the Z direction indicates the height direction. Each member means that the surface of the corresponding member exists on a two-dimensional plane formed through any two axial directions of the X axis, the Y axis, and the Z axis. And, the sloping means that the sloping exists on an inclined plane which is not located on a plane formed by the X axis, the Y axis and the Z axis. And, the perpendicular direction means that it is perpendicular to the adjacent member. Also, in Fig. 5B, a member divided into a cylindrical shape means that most of the members are planar, but have a cylindrical shape. And, Zmin means that the Z coordinate value of the member has the smallest value among all the members, which means the member positioned at the lowermost position.

The standard shape recognition unit 130 analyzes a plurality of three-dimensional hull shape data, and confirms the types of adjacent members and the directionality of each model according to the connection relationship between them. Then, the standard shape recognition unit 130 compares the types and orientations of adjacent members in the member shape recognition table 520, and associates each of the three-dimensional hull shape data with the standard member group. For example, in the member recognition table 520, the member 23 is a center girder, the members adjacent to the member are members 18 and 20, and the direction of the member is the ZX plane. If the three-dimensional hull form data among the plurality of three-dimensional hull form data is adjacent to the 18th and 20th members and the direction of the member has the ZX plane, the standard shape recognizing unit 130 recognizes the three- It is possible to recognize that the corresponding three-dimensional hull form data is the member 23 by confirming the corresponding member at step 520. Through the above process, the shape of the member can be recognized through the relationship between the directionality of the recognized three-dimensional hull form data and the adjacent member, and can be associated with the standard member.

FIG. 6 is a flowchart illustrating a method of managing marine corrosion using a three-dimensional hull shape automatic recognition method according to an embodiment of the present invention.

Referring to FIG. 6, in the ship corrosion management method using the three-dimensional hull shape automatic recognition method according to an embodiment of the present invention, first, the thickness measurement data is received (S601) (S602). The thickness measurement data may be experimental data measured by the thickness measuring section 110 under a specific condition, and may be accumulated data collected from various ships. The thickness measurement data includes information on each of a plurality of members constituting the ship. Therefore, the ship corrosion management apparatus classifies a plurality of members constituting a ship into standard member groups according to the rules specified in the Rules for Classification of Korean Register of Shipping and groups them.

Next, the thickness measurement data classified by the group is processed through the probability statistical model to calculate the corrosion rate per standard member (S603). Corrosion rate can vary depending on the coating method, presence of the system, maintenance information, structural design, corrosion environment, ballast, tank management status and load, and corrosion rate is generally an uncertainty factor. To solve this problem, the ship corrosion management system can generate a corrosion rate model as a probability statistical model through stochastic processing.

The non-grouped three-dimensional hull form data and the shape recognition table are compared with each other to recognize the shapes of the members and to group them (S604). The three-dimensional hull form data is a three-dimensional hull form calculated from a two-dimensional drawing (design diagram) of the ship. The three-dimensional hull shape data is a general shape model that is not grouped according to the standard member group. The shape recognition table is information for identifying each member constituting the ship, and includes information on each member, adjacency member, and information on the direction of each member. The vessel corrosion management apparatus compares the ungrouped three-dimensional hull shape data with the shape recognition table and recognizes the presence of each member in consideration of the relationship with the adjacent members and the directionality with respect to the length, the seam and the height. The recognized member corresponds to a group of standard members that are classified. Through this, the recognized members are grouped into a standard member group.

When grouping into standard member groups through member shape recognition, the corrosion rate data for each standard member and the grouped three-dimensional hull shape data are mapped to each other (S605). The standard member corrosion rate data includes information on the rate at which each member, which is classified as a standard member group, corrodes over time in each corrosive environment. Accordingly, the marine corrosion management apparatus can confirm the corrosion rate of each recognized member included in the grouped three-dimensional hull shape data by the standard member through the mapping process.

Then, the corrosion state of the recognized shape is visualized for each member constituting the target ship (S606). The vessel corrosion management system can identify the current corrosion state in each recognized shape (generally corrosion can be identified by thickness variation). In addition, the ship corrosion management apparatus can confirm the corrosion rate of each standard member. The vessel corrosion control system can confirm the extent of exposure of each member to seawater by comparing the degree of corrosion of the recognized shape and the corrosion rate per standard member of each member, and the expected life span can be confirmed. The ship corrosion management apparatus can display information on the corrosion state on the screen to provide information to the user.

The present invention including the above-described contents can be written in a computer program. And the code and code segment constituting the program can be easily deduced by a computer programmer of the field. In addition, the created program can be stored in a computer-readable recording medium or an information storage medium, and can be read and executed by a computer to implement the method of the present invention. And the recording medium includes all types of recording media readable by a computer.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, It is possible.

100: 33 Vessel corrosion management system using automatic recognition method of dimensional hull shape
110: thickness measuring unit
120: Standard data calculation unit
130: Standard shape recognition unit
140:
150:

Claims (9)

A standard data calculator for classifying thickness measurement data measured from a plurality of members constituting a ship into standard member groups and calculating corrosion rate data classified by standard members from the classified thickness measurement data;
A standard shape recognition unit for grouping the ungrouped three-dimensional hull shape data of the object ship in consideration of the direction of the member and the connection relationship between the members; And
A mapping processor for mapping the corrosion rate data classified by standard members and the grouped three-dimensional hull form data to confirm the predicted life span of the recognized three-dimensional hull form data;
/ RTI >
Wherein the standard shape recognition unit identifies the direction of a member of each member model constituting the ungrouped three-dimensional hull form data and a member adjacent to the member model, And recognizes the corresponding member by comparing the detected three-dimensional hull shape with the three-dimensional hull shape automatic recognition method. The method according to claim 1,
A thickness measuring unit for measuring thickness of a plurality of members constituting the target ship to generate thickness measurement data;
The method of claim 1, further comprising the steps of: The method according to claim 1,
A hull shape management unit for calculating three-dimensional hull shape data not grouped from a two-dimensional drawing (design diagram) of the target ship;
The method of claim 1, further comprising the steps of: The method according to claim 1,
Wherein the standard data calculation unit comprises:
Calculating a corrosion rate for each thickness data from the classified thickness measurement data, calculating a frequency for each of the calculated corrosion rates, and calculating a corrosion rate by applying a least square method to the calculated frequency A vessel corrosion management apparatus using a three-dimensional hull shape automatic recognition method. 3. The method of claim 2,
Wherein the thickness measurement data is experimental data measured by the thickness measuring unit 110 or accumulated data collected from various vessels. delete Classifying the thickness measurement data into a standard member group;
Calculating member-specific corrosion rates from the sorted thickness measurement data;
Grouping the ungrouped three-dimensional hull form data by considering the direction of the member and the connection relationship between the members along the adjacent members; And
Confirming the predicted lifetime of the three-dimensional hull form data by mapping the corrosion rate data classified by standard members and the grouped three-dimensional hull form data;
/ RTI >
Wherein the step of grouping the three-dimensional hull form data includes the steps of: identifying a direction of a member of each member model constituting the ungrouped three-dimensional hull form data and a member adjacent to the member model; And recognizing the corresponding member by comparing the adjacent member with the shape recognition table. A method for managing corrosion of a ship using a three-dimensional hull shape automatic recognition method. 8. The method of claim 7,
Wherein the step of recognizing the member corresponding to the non-grouped three-dimensional hull form data identifies a member of each member model constituting the ungrouped three-dimensional hull form data and a member adjacent to the member model, And recognizing the corresponding member by comparing the member adjacent to the direction of the identified member with the shape recognition table. 8. The method of claim 7,
Calculating three-dimensional hull form data not grouped from a two-dimensional drawing (design diagram) of the target ship;
The method of claim 1, further comprising the steps of:
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KR20190027427A (en) * 2017-09-07 2019-03-15 포항공과대학교 산학협력단 Predicting method for a corrosion wastage of metal structures
KR20210071519A (en) * 2019-12-06 2021-06-16 엘아이지넥스원 주식회사 Method and Apparatus for Constructing Library construction for standardization of drawing creation and drawing creation using the Library
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KR100874288B1 (en) * 2007-03-29 2008-12-18 대우조선해양 주식회사 3D model and asset management system of ships and offshore structures
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KR100874288B1 (en) * 2007-03-29 2008-12-18 대우조선해양 주식회사 3D model and asset management system of ships and offshore structures
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Publication number Priority date Publication date Assignee Title
CN108062987A (en) * 2016-11-09 2018-05-22 国家电投集团科学技术研究院有限公司 Reactor source item shielding analysis method and system
CN108062987B (en) * 2016-11-09 2019-09-03 国家电投集团科学技术研究院有限公司 Reactor source item shielding analysis method and system
KR20190027427A (en) * 2017-09-07 2019-03-15 포항공과대학교 산학협력단 Predicting method for a corrosion wastage of metal structures
KR101968829B1 (en) 2017-09-07 2019-04-12 포항공과대학교 산학협력단 Predicting method for a corrosion wastage of metal structures
KR20210071519A (en) * 2019-12-06 2021-06-16 엘아이지넥스원 주식회사 Method and Apparatus for Constructing Library construction for standardization of drawing creation and drawing creation using the Library
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CN113222961A (en) * 2021-05-27 2021-08-06 大连海事大学 Intelligent ship body detection system and method

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