CN113022813B - Ship section building method based on digital twinning - Google Patents
Ship section building method based on digital twinning Download PDFInfo
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- CN113022813B CN113022813B CN202110596572.0A CN202110596572A CN113022813B CN 113022813 B CN113022813 B CN 113022813B CN 202110596572 A CN202110596572 A CN 202110596572A CN 113022813 B CN113022813 B CN 113022813B
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Abstract
The invention discloses a ship segment construction method based on digital twins, which comprises the steps of dividing a ship segment into a plurality of construction nodes according to a ship construction sequence, and dividing a digital twins diagram into a plurality of construction plates corresponding to each construction node; establishing a mapping linkage relation between a plurality of ship components in each building slab and ship components in two adjacent building slabs in a digital twin map; monitoring the building data of the ship components in each building node in real time, utilizing the mapping linkage relationship of a plurality of ship components in the same building slab to budget the influence coefficient of the ship components on the current building slab, and utilizing the mapping linkage relationship of the ship components in two adjacent building slabs to budget the influence coefficient of the ship components on the adjacent building slabs; predicting a construction score of each construction panel and an overall score of the entire ship structure; the invention pre-judges the influence of the data information of the segmental production on the segmental construction of the ship and the performance influence on the whole ship construction.
Description
Technical Field
The invention relates to the technical field of digital twinning, in particular to a ship segment building method based on digital twinning.
Background
Shipbuilding involves many kinds of work, has complex process, long period, intensive capital and labor force and large engineering quantity, and is typical discrete manufacturing. The shipyard needs to have complete and matched infrastructure and professional equipment, a great number of technical workers and managers of various types, complete suppliers, good port environment, sufficient funds and other conditions to successfully complete the ship construction task. At present, the laggard manufacturing technology, mode and level of a shipyard is also one of the bottlenecks restricting the development of the shipbuilding industry. The traditional ship building mode has insufficient digitalization level. Shipbuilding is a labor-intensive industry, and the work in the dock and wharf construction stage needs to be basically completed manually, so that production activities are mainly conducted, and communication is mainly conducted by conferences, telephones, mails and the like. The production hardware and the auxiliary software have insufficient coverage and low intervention degree in the production activity. The associated production activities are not converted into digitized information. The simulation degree is insufficient, the ship manufacturing field condition is complex and changeable, and the problem that full attributes cannot be completely mapped exists in both production workshops and production process simulation. The insufficient simulation capability of the virtual model directly results in low optimization quality of the construction activities.
The digital simulation before ship construction can be realized by using a digital twin technology, so that a full life cycle concept of full life tracking with loop feedback is realized. Therefore, the method can be truly in the whole life cycle range, and the coordination between the numbers and the physical world is ensured. Various simulation, analysis, data accumulation and mining based on a digital model, and even the application of artificial intelligence can ensure the applicability of the system to a real physical system.
However, the current digital twin ship building technology has the following defects:
(1) the method is characterized in that comprehensive perception capability is lacked, data of workers in the existing ship construction process are in an island form, data integration is not carried out, and relevant data such as geometric attributes, physical attributes, actions, energy consumption and the like of the whole ship cannot be acquired when a certain ship operates in a segmented mode, so that sufficient effective data are lost in the process of analog simulation by digital twins;
(2) the fault is difficult to catch. The occurrence of the fault is often the result of the comprehensive of multiple factors, the correlation between the multiple factors is very complex, and meanwhile, the damage caused by the occurrence of the fault brings obstacles to later accident investigation. It is difficult to find the fault formation mechanism by using historical data and real-time data.
Disclosure of Invention
The invention aims to provide a ship segment building method based on digital twins, which aims to solve the technical problems in the prior art.
In order to solve the technical problems, the invention specifically provides the following technical scheme:
a ship segment building method based on digital twinning comprises the following steps:
step 100, taking a three-dimensional design drawing of a ship body as a physical structure of a digital twin drawing, dividing a ship section into a plurality of building nodes according to a ship building sequence, and dividing the digital twin drawing into a plurality of building plates corresponding to each building node;
step 200, establishing a mapping linkage relationship among a plurality of ship components in each building slab and a mapping linkage relationship among the ship components in two adjacent building slabs in the digital twin map, and enabling a plurality of ship components with mapping linkage relationships in the same building slab and the two adjacent building slabs to correspond to a ship performance category;
step 300, monitoring the building data of the ship components in each building node in real time, utilizing the mapping linkage relationship of a plurality of ship components in the same building slab to budget the influence coefficient of the ship components on the current building slab, and utilizing the mapping linkage relationship of the ship components in two adjacent building slabs to budget the influence coefficient of the ship components on the adjacent building slabs;
and 400, forecasting the construction fraction of each building plate and the overall fraction of the whole ship structure, and adjusting the ship component of each building node according to the forecasted overall fraction so that the overall fraction of the ship structure according to the ship component construction data budget meets the requirement.
As a preferred solution of the present invention, in step 100, the three-dimensional design drawing of the hull is used as a static physical model of the digital twin drawing, and the building data of each ship component in a single building block is used as dynamic sensing data of the digital twin drawing, each building block defines a ship performance class of a corresponding ship application for a plurality of ship components with mapping linkage relationship, and the digital twin drawing establishes a dynamic demonstration system according to the mapping linkage relationship among the plurality of ship components;
after receiving the building data of the ship components, the dynamic demonstration system simulates the linkage state between the ship components in the same building plate and the ship components with the mapping linkage relationship, determines the direct influence state of the linkage state between the ship components with the mapping linkage relationship on the current building plate, and simulates the linkage state between the ship components of two adjacent building plates and the final influence state of the linkage state of the building plates on the whole ship structure.
As a preferable aspect of the present invention, in step 200, a same-node linkage state exists between a plurality of ship components having a mapping linkage relationship in the same building block, and when the building data of one of the ship components is not equal to the setting data, the building data of the other ship components in the same-node linkage state is not equal to the corresponding setting data;
different-node linkage states exist between a plurality of ship components with mapping linkage relations in two adjacent building slabs, and when the building data of one ship component is not equal to the set data, the building data of other ship components in the different-node linkage states are not equal to the corresponding set data.
As a preferred aspect of the present invention, in step 300, determining a component construction score of the ship component and an influence coefficient of the ship component on a construction plate according to a range of a difference between active construction data of the ship component monitored in real time and setting data corresponding to the ship component, where a node construction score of the current construction plate under the influence of the ship component is a product of the component construction score and the influence coefficient;
the ship performance type of the ship component in real time and the ship performance type of the adjacent building plate have a mapping linkage relationship, the linkage influence score of the ship component and the linkage influence coefficient of the ship component on the building plate are determined according to the range of the difference value between the passive building data of the ship component in the building plate and the set data corresponding to the ship component, and the node influence score of the building plate under the influence of the ship component at present is the product of the linkage influence score and the linkage influence coefficient.
As a preferable scheme of the present invention, a splicing surface is formed between the two building plates, and influence coefficients exist in splicing parameters of the splicing surface for both the two building nodes, and when a plurality of ship components having a mapping linkage relationship correspond to a plurality of error categories, a final influence state of the entire ship structure is a sum of superposition of influence coefficients corresponding to each of the error categories in the plurality of building nodes.
As a preferred aspect of the present invention, in step 300, the determining an influence relationship between the node construction score of the current construction panel and the node construction score of the adjacent construction panel is performed by:
determining a plurality of ship performance categories in each building plate and a component building score of each ship performance category, and acquiring a node building score of the current building plate under the influence of a single ship performance category;
establishing a matching relationship between a plurality of ship performance categories of two adjacent building blocks, determining a linkage influence score and a linkage influence coefficient of a range in which a node building score of a single ship performance category in one building block is located on the ship performance category of the other building block, and obtaining a node influence score of the ship performance category of the other building block.
As a preferred aspect of the present invention, when there is no mapping linkage relationship between the ship component of the building block and the ship component of the adjacent building block, determining a difference between building data of the ship component and setting data to determine a node building score and an influence coefficient on the current building node, and calculating a node building score of the building block according to the component building scores of all the ship components in each building block and the influence coefficient of the ship components on the building block; calculating a node influence score of the current building plate according to the linkage relation between the adjacent building plates and the current building plate and the linkage influence score and the linkage influence coefficient of the ship performance categories of the adjacent building plates;
the construction score of the current construction plate is the sum of the node construction scores corresponding to the ship performance categories of the current construction plate and the node influence score influenced by the linkage state of the ship performance categories.
As a preferred aspect of the present invention, when the ship component and the adjacent building plate have a mapping linkage relationship, the step of calculating the construction score of the current building plate comprises:
determining standard scores of a plurality of building components with mapping linkage relations in each building slab, dividing the building components with the mapping linkage relations into the same ship performance category, determining group building data of the ship performance category according to building data of at least one building component in the building components with the mapping linkage relations, determining component building scores of the ship performance category and influence coefficients of the ship components on the building nodes according to difference values between the group building data and set data, and calculating node building scores of the building slabs;
determining ship components in the current building slab, which are subjected to mapping linkage relation by the ship components in the adjacent building slabs, calculating the synchronization error of the ship performance categories influenced by the adjacent building slabs in the current building slab, and determining the linkage influence fraction and the linkage influence coefficient of the ship performance categories according to the difference between the group building data and the set data of the ship performance categories influenced by the adjacent building slabs so as to calculate the node influence fraction of the current building slab;
determining a mapping linkage relation between the ship performance categories of the adjacent building plates and the current building plate, calculating the range of group building data of the ship performance categories of the adjacent building plates, determining component influence scores and corresponding third-order influence coefficients of the same ship performance category of the current building plate, and calculating node mapping scores of the current building plate, wherein the building scores of the current building plate are the sum of the node building scores, the node influence scores and the node mapping scores;
and when the ship component and the adjacent building plate have mapping linkage relationship, determining the maximum influence deviation of each ship component in a single building plate according to the final influence state of the whole ship structure, and when the ship component and the adjacent building node have no mapping linkage relationship, determining the maximum influence deviation of each ship component in a single building node according to the node building score of the building node.
As a preferred aspect of the present invention, the calculation of the node influence score on the adjacent construction nodes according to the node construction score of the current construction slab is implemented in the following manner:
firstly, determining the error category of the ship component with mapping linkage relation corresponding to the current building node, and determining an influence coefficient value field on the adjacent building node according to the error category of the current building node;
and determining an influence score on the adjacent building nodes according to the range of the difference value between the building data of the ship component with the mapping linkage relation and the corresponding set data, determining an influence coefficient value on the adjacent building nodes according to the range of the influence score, and taking the influence coefficient value as a linkage influence coefficient.
As a preferable aspect of the present invention, in step 400, the step of achieving the overall score of the entire ship structure:
firstly, the fraction of a single construction node and the product of the influence coefficient of the single construction node on the whole ship structure are obtained to obtain the influence fraction of the single construction node on the ship structure;
then overlapping the influence scores of all the construction nodes to be used as the score of the whole ship structure;
when the error range of the score of the entire ship structure from the set score exceeds the set value range, the building elements causing the linkage state need to be reassembled.
Compared with the prior art, the invention has the following beneficial effects:
according to the invention, the digital model of the ship construction is completed before the ship construction, the ship manufacturing activity is constructed in sections by a digital twinning technology, and data in the construction process is converted into multi-section sensing data, so that integration processing is carried out on data with different sources, the influence of data information produced in sections on the ship section construction and the influence on the performance of the whole ship construction are pre-judged, the amplification processing of the ship construction precision is realized, and the production control is convenient.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
Fig. 1 is a schematic flow chart of a ship segment building method according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the present invention provides a ship segment building method based on digital twinning, in this embodiment, a digital model of ship building is completed before ship building, ship manufacturing activities are segment built through a digital twinning technique, and data in the building process is converted into multi-segment sensing data, so that data with different sources are integrated, and the influence of data information produced by segments on ship segment building and the influence of the whole ship building performance are predicted, so that the ship building precision is amplified, and the production control is facilitated.
The method specifically comprises the following steps:
and 100, taking a three-dimensional design drawing of the ship body as a physical structure of a digital twin drawing, dividing a ship section into a plurality of construction nodes according to a ship construction sequence, and dividing the digital twin drawing into a plurality of construction plates corresponding to each construction node.
The ship body three-dimensional design drawing is used as a static physical model of the digital twin drawing, the building data of each ship component in a single building plate is used as dynamic sensing data of the digital twin drawing, each building plate defines a ship performance class corresponding to a ship application by a plurality of ship components with mapping linkage relation, and the digital twin drawing establishes a dynamic demonstration system according to the mapping linkage relation among the plurality of ship components;
after receiving the building data of the ship components, the dynamic demonstration system simulates the linkage state between the ship components in the same building plate and the ship components with the mapping linkage relationship, determines the direct influence state of the linkage state between the ship components with the mapping linkage relationship on the current building plate, and simulates the linkage state between the ship components of two adjacent building plates and the final influence state of the linkage state of the building plates on the whole ship structure.
That is to say, in the segmented production process, ship components which reflect the same ship building performance and have linkage change in each building plate are classified, building data of each ship component classified into a set during production are monitored in real time, and ship building performance prediction data, corresponding direct influence scores and direct influence coefficients are determined according to the building data and the linkage state, so that data islands are prevented from being formed by all the ship components in the ship manufacturing process, and the data are subjected to linkage processing to analyze the production performance of each segment of ship.
And simultaneously, a linkage state between two adjacent building plates is established, and when the production data of a certain ship component in the linkage state deviates from standard data, the influence capacity of the ship component on the adjacent building plates can be calculated, so that the influence of the certain ship component on the whole ship when the certain ship component of the certain building plate goes wrong during building is judged, the building of the ship component is amplified and judged from the production performance of the whole ship, and the precision control of ship manufacturing is further realized.
Step 200, establishing a mapping linkage relationship among a plurality of ship components in each building slab and a mapping linkage relationship among the ship components in two adjacent building slabs in the digital twin map, and enabling a plurality of ship components with mapping linkage relationships in the same building slab and the two adjacent building slabs to correspond to one ship performance category.
The ship components with mapping linkage relation in the same building board block have same node linkage states, and when the building data of one ship component is not equal to the set data, the building data of other ship components in the same node linkage state are not equal to the corresponding set data.
Different-node linkage states exist between a plurality of ship components with mapping linkage relations in two adjacent building slabs, and when the building data of one ship component is not equal to the set data, the building data of other ship components in the different-node linkage states are not equal to the corresponding set data.
Step 300, monitoring the building data of the ship components in each building node in real time, utilizing the mapping linkage relationship of a plurality of ship components in the same building slab to budget the influence coefficient of the ship components on the current building slab, and utilizing the mapping linkage relationship of the ship components in two adjacent building slabs to budget the influence coefficient of the ship components on the adjacent building slabs.
And 400, forecasting the construction fraction of each building plate and the overall fraction of the whole ship structure, and adjusting the ship component of each building node according to the forecasted overall fraction so that the overall fraction of the ship structure according to the ship component construction data budget meets the requirement.
In step 300, determining a component construction score of the ship component and an influence coefficient of the ship component on a construction plate according to a range of a difference value between active construction data of the ship component monitored in real time and setting data corresponding to the ship component, wherein a node construction score of the construction plate under the influence of the ship component at present is a product of the component construction score and the influence coefficient.
The ship performance type of the ship component in real time and the ship performance type of the adjacent building plate have a mapping linkage relationship, the linkage influence score of the ship component and the linkage influence coefficient of the ship component on the building plate are determined according to the range of the difference value between the passive building data of the ship component in the building plate and the set data corresponding to the ship component, and the node influence score of the building plate under the influence of the ship component at present is the product of the linkage influence score and the linkage influence coefficient.
And when a plurality of ship assemblies with mapping linkage relation correspond to a plurality of error categories, the final influence state of the whole ship structure is the superposition sum of the influence coefficients corresponding to each error category in the plurality of building nodes.
It is further noted that the performance of each building panel of the present embodiment is not completely independent, and even if there is no mapping linkage relationship between building elements of two building panels, other performance of the adjacent building panels may be affected due to a change in certain performance data of one building panel, for example, even if the stability elements between two building panels are not linked, when the stability element construction of the first building panel is in trouble, the stability element or safety element of the second building panel may be affected.
It is thus equivalent to say that the construction score of a building panel is influenced by three aspects, the first being the performance data of the construction elements contained in its own building panel, and the second, its own building elements are affected by the building element synchronization of the other building panels, and when the data of the building elements of the other building panels exceeds a set threshold, a building element of the building panel and all building elements of the same vessel performance class are changed synchronously therewith, exceeding a set threshold, resulting in a building score being affected, and thirdly, when the construction assembly of the self construction panel does not have the mapping linkage relationship with the construction assemblies of the other construction panels, when a change in data for a certain property of a building panel has an effect on a certain property of an adjacent building panel, the construction score of the adjacent construction panel varies with the data of a certain property of the current construction panel.
Therefore, the three analysis modes can obtain a more detailed and accurate ship building linkage relation, and the influence on the adjacent building blocks and the influence on the whole ship performance when the performance of a certain building assembly of a certain building block is changed can be conveniently and directly analyzed.
When the ship component of the current building plate and the ship component of the adjacent building plate do not have a mapping linkage relationship, determining a difference value of building data and setting data of the ship component to determine a node building score and an influence coefficient on the current building node, and calculating the node building score of the building plate according to the component building scores of all the ship components in each building plate and the influence coefficient of the ship components on the building plate; and calculating the node influence score of the current building block according to the linkage relation between the adjacent building blocks and the current building block and the linkage influence score and the linkage influence coefficient of the ship performance categories of the adjacent building blocks.
The construction score of the current construction plate is the sum of the node construction scores corresponding to the ship performance categories of the current construction plate and the node influence score influenced by the linkage state of the ship performance categories.
When the ship assembly and the adjacent building plate have a mapping linkage relationship, the implementation step of calculating the building fraction of the current building plate comprises the following steps:
determining standard scores of a plurality of building components with mapping linkage relations in each building slab, dividing the building components with mapping linkage relations into the same ship performance category, determining group building data of the ship performance category according to building data of at least one building component in the building components with mapping linkage relations, determining component building scores of the ship performance category and influence coefficients of the ship components on the building nodes according to difference values between the group building data and set data, and calculating node building scores of the building slabs,
determining ship components in the current building slab, which are subjected to mapping linkage relation by the ship components in the adjacent building slabs, calculating the synchronization error of the ship performance classes influenced by the adjacent building slabs in the current building slab, determining the linkage influence score and the linkage influence coefficient of the ship performance class according to the difference value between the group building data and the set data of the ship performance classes influenced by the adjacent building slabs so as to calculate the node influence score of the current building slab,
determining a mapping linkage relation between the ship performance categories of the adjacent building plates and the current building plate, calculating the range of group building data of the ship performance categories of the adjacent building plates, determining component influence scores and corresponding third-order influence coefficients of the same ship performance category of the current building plate, and calculating the node mapping score of the current building plate, wherein the building score of the current building plate is the sum of the node building score, the node influence score and the node mapping score.
And when the ship component and the adjacent building plate have mapping linkage relationship, determining the maximum influence deviation of each ship component in a single building plate according to the final influence state of the whole ship structure, and when the ship component and the adjacent building node have no mapping linkage relationship, determining the maximum influence deviation of each ship component in a single building node according to the node building score of the building node.
The realization mode of calculating the node influence score on the adjacent construction nodes according to the node construction score of the current construction plate is as follows: determining the error type of the ship component with mapping linkage relation corresponding to the current building node, and determining the influence coefficient value field on the adjacent building node according to the error type of the current building node. And determining an influence score on the adjacent building nodes according to the range of the difference value between the building data of the ship component with the mapping linkage relation and the corresponding set data, determining an influence coefficient value on the adjacent building nodes according to the range of the influence score, and taking the influence coefficient value as a linkage influence coefficient.
In both cases, the method for determining the influence relationship between the node construction score of the current building block and the node construction score of the adjacent building block is the same, and both methods include the following steps:
determining a plurality of ship performance categories in each building plate and a component building score of each ship performance category, and acquiring a node building score of the current building plate under the influence of the single ship performance category.
Establishing a matching relationship between a plurality of ship performance categories of two adjacent building blocks, determining a linkage influence score and a linkage influence coefficient of a range in which a node building score of a single ship performance category in one building block is located on the ship performance category of the other building block, and obtaining a node influence score of the ship performance category of the other building block.
In step 400, the overall score of the whole ship structure is realized by the following steps:
firstly, obtaining the influence score of a single construction node on the ship structure according to the score of the single construction node and the product of the influence coefficient of the single construction node on the whole ship structure;
then overlapping the influence scores of all the construction nodes to be used as the score of the whole ship structure;
when the error range of the score of the entire ship structure from the set score exceeds the set value range, the building elements causing the linkage state need to be reassembled.
The above embodiments are only exemplary embodiments of the present application, and are not intended to limit the present application, and the protection scope of the present application is defined by the claims. Various modifications and equivalents may be made by those skilled in the art within the spirit and scope of the present application and such modifications and equivalents should also be considered to be within the scope of the present application.
Claims (10)
1. A ship segment building method based on digital twinning is characterized by comprising the following steps:
step 100, taking a three-dimensional design drawing of a ship body as a physical structure of a digital twin drawing, dividing a ship section into a plurality of building nodes according to a ship building sequence, and dividing the digital twin drawing into a plurality of building plates corresponding to each building node;
step 200, establishing a mapping linkage relationship among a plurality of ship components in each building slab and a mapping linkage relationship among the ship components in two adjacent building slabs in the digital twin map, and enabling a plurality of ship components with mapping linkage relationships in the same building slab and the two adjacent building slabs to correspond to a ship performance category;
step 300, monitoring the building data of the ship components in each building node in real time, utilizing the mapping linkage relationship of a plurality of ship components in the same building slab to budget the influence coefficient of the ship components on the current building slab, and utilizing the mapping linkage relationship of the ship components in two adjacent building slabs to budget the influence coefficient of the ship components on the adjacent building slabs;
and 400, forecasting the construction fraction of each building plate and the overall fraction of the whole ship structure, and adjusting the ship component of each building node according to the forecasted overall fraction so that the overall fraction of the ship structure according to the ship component construction data budget meets the requirement.
2. The method for building ship segments based on digital twins as claimed in claim 1, wherein in step 100, said ship body three-dimensional design drawing is used as a static physical model of said digital twins drawing, and the building data of each ship component in a single building slab is used as dynamic sensing data of said digital twins drawing, each building slab defines a ship performance class corresponding to ship application by a plurality of ship components with mapping linkage relation, and said digital twins drawing builds a dynamic demonstration system according to the mapping linkage relation among a plurality of ship components;
after receiving the building data of the ship components, the dynamic demonstration system simulates the linkage state between the ship components in the same building plate and the ship components with the mapping linkage relationship, determines the direct influence state of the linkage state between the ship components with the mapping linkage relationship on the current building plate, and simulates the linkage state between the ship components of two adjacent building plates and the final influence state of the linkage state of the building plates on the whole ship structure.
3. The digital twin-based ship segment building method according to claim 2, wherein: in step 200, a same-node linkage state exists among a plurality of ship components having mapping linkage relations in the same building slab, wherein when the building data of one ship component is not equal to the setting data, the building data of other ship components in the same-node linkage state is not equal to the corresponding setting data;
different-node linkage states exist between a plurality of ship components with mapping linkage relations in two adjacent building slabs, and when the building data of one ship component is not equal to the set data, the building data of other ship components in the different-node linkage states are not equal to the corresponding set data.
4. A digital twin based ship block building method according to claim 3, wherein: in step 300, determining a component construction score of the ship component and an influence coefficient of the ship component on a construction plate according to a range of a difference value between active construction data of the ship component monitored in real time and setting data corresponding to the ship component, wherein a node construction score of the construction plate under the influence of the ship component at present is a product of the component construction score and the influence coefficient;
the ship performance type of the ship component in real time and the ship performance type of the adjacent building plate have a mapping linkage relationship, the linkage influence score of the ship component and the linkage influence coefficient of the ship component on the building plate are determined according to the range of the difference value between the passive building data of the ship component in the building plate and the set data corresponding to the ship component, and the node influence score of the building plate under the influence of the ship component at present is the product of the linkage influence score and the linkage influence coefficient.
5. The digital twin-based ship segment building method according to claim 4, wherein: and when a plurality of ship assemblies with mapping linkage relation correspond to a plurality of error categories, the final influence state of the whole ship structure is the sum of the superposition of the influence coefficients corresponding to each error category in the plurality of building nodes.
6. The method as claimed in claim 4, wherein the step 300 of determining the influence relationship between the node construction scores of the current building block and the adjacent building blocks is performed by:
determining a plurality of ship performance categories in each building plate and a component building score of each ship performance category, and acquiring a node building score of the current building plate under the influence of a single ship performance category;
establishing a matching relationship between a plurality of ship performance categories of two adjacent building blocks, determining a linkage influence score and a linkage influence coefficient of a range in which a node building score of a single ship performance category in one building block is located on the ship performance category of the other building block, and obtaining a node influence score of the ship performance category of the other building block.
7. The digital twin-based ship segment building method according to claim 4, wherein: when the ship component of the current building plate and the ship component of the adjacent building plate do not have a mapping linkage relationship, determining a difference value of building data and setting data of the ship component to determine a node building score and an influence coefficient on the current building node, and calculating the node building score of the building plate according to the component building scores of all the ship components in each building plate and the influence coefficient of the ship components on the building plate; calculating a node influence score of the current building plate according to the linkage relation between the adjacent building plates and the current building plate and the linkage influence score and the linkage influence coefficient of the ship performance categories of the adjacent building plates;
the construction score of the current construction plate is the sum of the node construction scores corresponding to the ship performance categories of the current construction plate and the node influence score influenced by the linkage state of the ship performance categories.
8. The method as claimed in claim 7, wherein the step of calculating the construction score of the current building block when the ship assembly is in the mapping linkage relationship with the adjacent building block comprises:
determining standard scores of a plurality of building components with mapping linkage relations in each building slab, dividing the building components with the mapping linkage relations into the same ship performance category, determining group building data of the ship performance category according to building data of at least one building component in the building components with the mapping linkage relations, determining component building scores of the ship performance category and influence coefficients of the ship components on the building nodes according to difference values between the group building data and set data, and calculating node building scores of the building slabs;
determining ship components in the current building slab, which are subjected to mapping linkage relation by the ship components in the adjacent building slabs, calculating the synchronization error of the ship performance categories influenced by the adjacent building slabs in the current building slab, and determining the linkage influence fraction and the linkage influence coefficient of the ship performance categories according to the difference between the group building data and the set data of the ship performance categories influenced by the adjacent building slabs so as to calculate the node influence fraction of the current building slab;
determining a mapping linkage relation between the ship performance categories of the adjacent building plates and the current building plate, calculating the range of group building data of the ship performance categories of the adjacent building plates, determining component influence scores and corresponding third-order influence coefficients of the same ship performance category of the current building plate, and calculating the node mapping score of the current building plate, wherein the building score of the current building plate is the sum of the node building score, the node influence score and the node mapping score;
and when the ship component and the adjacent building plate have mapping linkage relationship, determining the maximum influence deviation of each ship component in a single building plate according to the final influence state of the whole ship structure, and when the ship component and the adjacent building node have no mapping linkage relationship, determining the maximum influence deviation of each ship component in a single building node according to the node building score of the building node.
9. The method as claimed in claim 8, wherein the calculation of the node effect score on the adjacent construction nodes according to the node construction score of the current construction plate is implemented by:
firstly, determining the error category of the ship component with mapping linkage relation corresponding to the current building node, and determining an influence coefficient value field on the adjacent building node according to the error category of the current building node;
and determining an influence score on the adjacent building nodes according to the range of the difference value between the building data of the ship component with the mapping linkage relation and the corresponding set data, determining an influence coefficient value on the adjacent building nodes according to the range of the influence score, and taking the influence coefficient value as a linkage influence coefficient.
10. The digital twin-based ship segment building method according to claim 8, wherein: in step 400, the overall score of the whole ship structure is realized by the following steps:
firstly, obtaining the influence score of a single construction node on the ship structure according to the score of the single construction node and the product of the influence coefficient of the single construction node on the whole ship structure;
then overlapping the influence scores of all the construction nodes to be used as the score of the whole ship structure;
when the error range of the score of the entire ship structure from the set score exceeds the set value range, the building elements causing the linkage state need to be reassembled.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108388146A (en) * | 2018-02-01 | 2018-08-10 | 东南大学 | A kind of three-dimensional assembly technique design system and operation method based on information physical fusion |
| CN109866876A (en) * | 2019-04-10 | 2019-06-11 | 江苏科技大学 | Based on the twin boat segmental construction precision control method of number |
| KR102127657B1 (en) * | 2020-04-24 | 2020-06-29 | 한화시스템 주식회사 | Method of artifical intelligence target learning and target identification for next generation naval ship using digital twin |
| CN112327780A (en) * | 2020-11-16 | 2021-02-05 | 中国电子科技集团公司第二十九研究所 | Digital twin system construction method and architecture of electronic equipment test production line |
-
2021
- 2021-05-31 CN CN202110596572.0A patent/CN113022813B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108388146A (en) * | 2018-02-01 | 2018-08-10 | 东南大学 | A kind of three-dimensional assembly technique design system and operation method based on information physical fusion |
| CN109866876A (en) * | 2019-04-10 | 2019-06-11 | 江苏科技大学 | Based on the twin boat segmental construction precision control method of number |
| KR102127657B1 (en) * | 2020-04-24 | 2020-06-29 | 한화시스템 주식회사 | Method of artifical intelligence target learning and target identification for next generation naval ship using digital twin |
| CN112327780A (en) * | 2020-11-16 | 2021-02-05 | 中国电子科技集团公司第二十九研究所 | Digital twin system construction method and architecture of electronic equipment test production line |
Non-Patent Citations (2)
| Title |
|---|
| Application Research of Digital Twin-Driven Ship Intelligent;Qingcai Wu等;《Journal of Marine Science and Engineering》;20210319;第1-20页 * |
| 船舶数字孪生及其服务全生命周期研究综述;杨少龙等;《舰船科学技术》;20201130;第42卷(第11期);第1-8页 * |
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