CN116522501B - Real ship verification system based on safe return port - Google Patents
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Abstract
The invention discloses a real ship verification system based on safe harbor return, which relates to the technical field of passenger ship navigation safety, and comprises the steps of firstly processing a fault information set to obtain a characteristic value, then correspondingly substituting the characteristic value into a homogeneous linear equation set to obtain a basic solution of a corresponding characteristic value, then obtaining a characteristic vector of a fault scene according to the basic solution of the characteristic value, using the characteristic vector as a characteristic label of the corresponding fault scene, arranging fault scene information through the system to reduce the occurrence of missing information, then arranging the corresponding input keywords into a set form through a fault scene matching module, calculating the input keywords and the characteristic label of the fault scene by adopting a formula to obtain a corresponding matched similarity value, selecting the corresponding fault scene with the similarity value approaching 1 as an optimal matching object, avoiding the complex process when manually selecting a representative verification case, and improving the matching accuracy and the working efficiency.
Description
Technical Field
The invention belongs to the technical field of passenger ship navigation safety, and particularly relates to a real ship verification system based on safe harbor returning.
Background
Along with the increasing of the dimensions of passenger ships and the number of passengers, the safety problem of large passenger ships is increasingly outstanding, and once accidents occur on the sea, serious casualties and property loss are often caused, and the safe harbor return can be achieved by means of self power to the nearest safe harbor when the passenger ships have fire or water inlet accidents within the accident limit range.
When the ship construction meeting the safety harbor requirement on the theoretical model is completed, whether the ship can resume running within a specified time limit after encountering any predictable accident is required to truly realize the safety harbor or not is simulated on a real ship, the ship can build the model on hundreds of systems and can evaluate and calculate based on nearly hundred accident scenes, the methods select representative verification cases through one-by-one calculation by people and compare the results under various accident scenes, and the whole content of the outline is manually filled in, so that the process has huge workload and is easy to consider each other, and the condition of missing errors occurs.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art; therefore, the invention provides a real ship verification system based on safe harbor return, which is used for solving the technical problems.
To achieve the above object, an embodiment according to a first aspect of the present invention proposes a real ship verification system based on safe return, comprising:
the simulation scene building module is used for firstly modeling the target ship according to basic information of the target ship, wherein the basic information comprises the number of the target ship systems, the ship space distribution, the ship carrying capacity and basic materials on the ship, meanwhile, the simulation scene building module collects ship fault scenes and builds a system model on the fault scenes, firstly, one fault scene is selected, information in the fault scenes is organized into an integrated form, then the fault information integrated form is processed to obtain characteristic values, then the characteristic values are correspondingly substituted into a homogeneous linear equation set to obtain basic solution of the corresponding characteristic values, then the characteristic vectors of the fault scenes are obtained according to the basic solution of the characteristic values, the characteristic vectors are used as characteristic labels of the corresponding fault scenes, and the constructed ship models, the fault scene information and the characteristic labels of the fault scenes are transmitted to the fault scene matching module by the simulation scene building module;
the fault scene matching module is used for sorting the information of the keywords input by the user into a set according to the feature labels of the fault scenes, calculating the similarity between the feature labels of the fault scenes and the keyword information set by adopting a formula, selecting a corresponding fault scene with a similarity value approaching 1, taking the fault scene as an optimal matching object, evaluating resources after the fault, generating a verifiable recovery scheme, and transmitting the verifiable recovery scheme to the scene verification module;
the scene verification module is used for verifying the safe harbor returning process of the fault scene of the target ship according to the recovery scheme.
As a further scheme of the invention, the specific algorithm of the feature label of the fault scene is as follows:
s01: firstly, marking the fault information in each fault scene with the value Gi, i=1, 2 and …, wherein the fault information comprises fault positions, fault system damage quantity, on-board load capacity, on-board man capacity and the like, and meanwhile, arranging the fault information into a fault information set g= { G1, G2, G3, the first place
S02: firstly, setting the feature as an unknown number, multiplying the feature value by a unit vector, and simultaneously subtracting the fault information set, and enabling the difference value to be equal to zero to obtain a feature value lambda of the fault information set;
s03: respectively selecting the eigenvalue lambda, correspondingly substituting the eigenvalue lambda I-G|X=0 into a homogeneous linear equation set to obtain a basic solution system of the corresponding eigenvalue, wherein I is a unit vector,and then respectively obtaining feature vectors alpha K of the corresponding fault scene according to the basic solution system, wherein K is a solution of the homogeneous linear equation set, and alpha is a preset coefficient.
As a further scheme of the invention, the method for calculating the similarity between the feature tag of the fault scene and the keyword information set comprises the following steps:
s11: firstly, marking keywords input by a user as keyword sets J, J= { J1, J2, J3, & gt, ji }, wherein Ji represents different keyword information, when the input quantity of the keywords does not meet i, selecting the missing quantity as 0 for input, inputting the keyword sets, and searching to obtain matching results of a plurality of corresponding fault scenes;
s12: then adopt the formulaCalculating a similarity value cos (G, J) between the keyword set and the feature tags of the corresponding fault scenario, wherein +.>
When the value of cos (G, J) approaches 1, the closer the similarity between the two vector sets is, when the value of cos approaches 0, the two vectors are independent of each other, and when the value of cos approaches-1, the two vectors are completely opposite;
s13: and selecting a feature label of the fault scene with the similarity value cos (G, J) closest to 1 in the vector of the input keyword, taking the fault scene corresponding to the feature label of the fault scene as an optimal matching object, and then carrying out existing resource assessment on the fault scene to generate a verifiable recovery scheme, wherein the existing resources comprise system load capacity, the residual materials on the ship, the load weight on the ship and the quantity of the personnel carried on the ship.
As a further scheme of the invention, the basic information of the target navigation ship is acquired through the ship information acquisition module and is transmitted to the simulation scene building module.
As a further scheme of the invention, the method for verifying the safe harbor returning process of the fault scene of the target ship comprises the following steps:
s21: firstly, splitting a recoverable verification scheme into a plurality of steps, and carrying out mutual association between each two steps by adopting nodes;
s22: when a fault occurs, carrying out corresponding processing on fault information according to a recoverable verification scheme step, and recording an actual recovery process in the processing process;
calculating the deviation value between the recoverable verification scheme step and the actual recovery scheme step to obtain a node with a larger difference value, and marking the node with the larger difference value as an abnormal node;
s23: and then the scene verification module transmits the abnormal node information to the scheme correction module.
As a further scheme of the invention, the scheme modifying module is used for modifying the parameter difference in the original scheme according to the verification information and the actual situation, and the scheme modifying module is used for verifying and storing the modified verification scheme again.
As a further scheme of the invention, the fault scene matching module is connected with external terminal equipment, the external terminal equipment is used for inputting keywords of fault information, and then the keywords are searched and matched through the fault scene matching module.
Compared with the prior art, the invention has the beneficial effects that: firstly building a model of a target ship through a simulation scene building module, meanwhile, collecting ship fault scene information through the ship model building module, arranging the information in the fault scene into a set form, then processing the fault information set to obtain a characteristic value, correspondingly substituting the characteristic value into a homogeneous linear equation set to obtain a basic solution of the corresponding characteristic value, then obtaining a characteristic vector of the fault scene according to the basic solution of the characteristic value, arranging the fault scene information through a system by taking the characteristic vector as a characteristic label of the corresponding fault scene, and reducing missing process;
and then the corresponding input keywords are arranged into a set form through the fault scene matching module, the input keywords and the feature labels of the fault scenes are calculated by adopting a formula to obtain corresponding matched similarity values, the corresponding fault scenes with the similarity values approaching to 1 are selected as the optimal matching objects, the tedious process when representative verification cases are manually selected is avoided, and the matching accuracy and the working efficiency are improved.
Drawings
Fig. 1 is a schematic diagram of a system frame of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the application provides a real ship verification system based on safe return, which comprises a ship information acquisition module, a simulation scene building module, a fault scene matching module, a scene verification module and a scheme correction module;
the ship information acquisition module is used for acquiring basic information of a target ship, wherein the target ship refers to a ship using the system, the basic information comprises the number of the systems on the target ship, the space distribution of the ship, the carrying capacity of the ship and basic materials on the ship, and then the ship information acquisition module transmits the acquired basic information of the target ship to the simulation scene building module;
the simulation scene construction module is used for firstly constructing a model of a target ship according to basic information of the target ship, and then the simulation scene construction module collects fault scenes of the ship at the same time, wherein the method is to collect fault scenes which occur in internet information during the process of collecting the ship faults, then construct the fault scene information in the system according to the fault scene information, and simultaneously construct feature vectors for each fault scene according to the fault information when constructing the fault scene model, and take the feature vectors as feature labels of the fault scenes, and the specific feature vector construction method comprises the following steps:
s01: firstly, marking the fault information in each fault scene with the value Gi, i=1, 2 and …, wherein the fault information comprises fault positions, fault system damage quantity, on-board load capacity, on-board man capacity and the like, and meanwhile, arranging the fault information into a fault information set g= { G1, G2, G3, the first place
S02: firstly, setting the feature as an unknown number, multiplying the feature value by a unit vector, and simultaneously subtracting the fault information set, and enabling the difference value to be equal to zero to obtain a feature value lambda of the fault information set;
s03: respectively selecting the eigenvalue lambda, correspondingly substituting the eigenvalue lambda I-G|X=0 into a homogeneous linear equation set to obtain a basic solution system of the corresponding eigenvalue, wherein I is a unit vector,respectively obtaining feature vectors alpha K of corresponding fault scenes according to the basic solution system, wherein K is a solution of a homogeneous linear equation set, alpha is a preset coefficient, and specific values of the alpha are set by related staff;
s04: then taking the characteristic vector alpha K of the ship model as the characteristic label of each fault scene, and transmitting the constructed ship model, the fault scene information and the characteristic label of the fault scene to a fault scene matching module by the fault scene information;
the fault scene matching module is used for matching keywords according to the established fault scene information, and the specific matching method is as follows:
s11: firstly, marking keywords input by a user as keyword sets J, J= { J1, J2, J3, & gt, ji }, wherein Ji represents different keyword information, when the input quantity of the keywords does not meet i, selecting the missing quantity as 0 for input, inputting the keyword sets, and searching to obtain matching results of a plurality of corresponding fault scenes;
s12: then adopt the formulaFor matching keyword sets with correspondingThe similarity value cos (G, J) between the feature tags of the fault scene of (2) is calculated, wherein +.>
When the value of cos (G, J) approaches 1, the closer the similarity between the two vector sets is, when the value of cos approaches 0, the two vectors are independent of each other, and when the value of cos approaches-1, the two vectors are completely opposite;
s13: selecting a feature tag of a fault scene with a similarity value cos (G, J) closest to 1 in the vector of the input keyword, taking the fault scene corresponding to the feature tag of the fault scene as an optimal matching object, and then carrying out existing resource assessment on the fault scene to generate a verifiable recovery scheme, wherein the existing resources comprise system load capacity, materials left on a ship, load weight on the ship and the number of people carried on the ship;
s14: then the fault scene matching module transmits the matched fault scene information and the corresponding recoverable scheme to the scene verification module;
the scene verification module is used for verifying the ship under the actual condition according to the data information in the matched fault information, and the specific verification method comprises the following steps:
s21: firstly, splitting a recoverable verification scheme into a plurality of steps, and carrying out mutual association between each two steps by adopting nodes;
s22: when a fault occurs, carrying out corresponding processing on fault information according to a recoverable verification scheme step, and recording an actual recovery process in the processing process;
calculating the deviation value between the recoverable verification scheme step and the actual recovery scheme step to obtain a node with a larger difference value, and marking the node with the larger difference value as an abnormal node;
s23: then transmitting the abnormal node information to a scheme modifying module by a scene verifying module;
the scheme rectifying and modifying module is used for modifying the parameter difference in the original scheme according to the verification information and the actual situation, and meanwhile, the scheme rectifying and modifying module is used for verifying and storing the modified verification scheme again, so that the recoverable verification scheme information in the fault scene is more accurate.
The partial data in the formula are all obtained by removing dimension and taking the numerical value for calculation, and the formula is a formula closest to the real situation obtained by simulating a large amount of collected data through software; the preset parameters and the preset threshold values in the formula are set by those skilled in the art according to actual conditions or are obtained through mass data simulation.
The working principle of the invention is as follows: firstly, basic information of a target ship is acquired through a ship information acquisition module, then, a model of the target ship is constructed through a simulation scene construction module, ship fault scene information is collected through the ship model construction module, a fault scene is selected, information in the fault scene is organized into an integrated form, then, fault information is processed into an integrated form to obtain characteristic values, the characteristic values are correspondingly substituted into a homogeneous linear equation set to obtain a basic solution of the corresponding characteristic values, then, characteristic vectors of the fault scene are obtained according to the basic solution of the characteristic values, the characteristic vectors are used as characteristic labels of the corresponding fault scene, then, the corresponding input key words are organized into the integrated form through a fault scene matching module, the input key words and the characteristic labels of the fault scene are calculated through a formula to obtain corresponding matched similarity values, the corresponding fault scene with the similarity values approaching 1 is selected to serve as an optimal matching object, then, the recovery capacity of the fault is evaluated to generate a verifiable recovery scheme, the scene module verifies the corresponding recovery scheme through the corresponding recovery scheme, the deviation value in the verification process is recorded, and the new scheme is changed to store the new data.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (5)
1. Real ship verification system based on safe returning is characterized by comprising:
the simulation scene building module is used for firstly modeling the target ship according to basic information of the target ship, wherein the basic information comprises the number of the target ship systems, the ship space distribution, the ship carrying capacity and basic materials on the ship, meanwhile, the simulation scene building module collects ship fault scenes and builds a system model for the fault scenes, firstly, one fault scene is selected, information in the fault scenes is organized into an integrated form, then the fault information integrated form is processed to obtain characteristic values, then the characteristic values are correspondingly substituted into a homogeneous linear equation set to obtain basic solutions of the corresponding characteristic values, then the characteristic vectors of the fault scenes are obtained according to the basic solutions of the characteristic values, the characteristic vectors are used as characteristic labels of the corresponding fault scenes, and the constructed ship models, the fault scene information and the characteristic labels of the fault scenes are transmitted to the fault scene matching module by the simulation scene building module, and the specific processing method comprises the following steps:
s01: firstly, marking the fault information in each fault scene with the value Gi, i=1, 2 and …, wherein the fault information comprises a fault position, a fault system damage amount, a shipboard load capacity and a shipboard man load amount, and meanwhile, arranging the fault information into a fault information set g= { G1, G2, G3, &..;
s02: firstly, setting the feature as an unknown number, multiplying the feature value by a unit vector, and simultaneously subtracting the fault information set, and enabling the difference value to be equal to zero to obtain a feature value lambda of the fault information set;
s03: respectively selecting the eigenvalue lambda, correspondingly substituting the eigenvalue lambda I-G|X=0 into a homogeneous linear equation set to obtain a basic solution system of the corresponding eigenvalue, wherein I is a unit vector,respectively obtaining feature vectors alpha K of corresponding fault scenes according to the basic solution system, wherein K is a solution of a homogeneous linear equation set, and alpha is a preset coefficient;
the fault scene matching module is used for sorting information of keywords input by a user into a set according to feature labels of the fault scenes, calculating similarity between the feature labels of the fault scenes and the keyword information set by adopting a formula, selecting a corresponding fault scene with a similarity value approaching 1, taking the fault scene as an optimal matching object, evaluating resources after the fault, generating a verifiable recovery scheme, and transmitting the verifiable recovery scheme to the scene verification module, wherein the specific processing method of the fault scene matching module is as follows:
s11: firstly, marking keywords input by a user as keyword sets J, J= { J1, J2, J3, & gt, ji }, wherein Ji represents different keyword information, when the input quantity of the keywords does not meet i, selecting the missing quantity as 0 for input, inputting the keyword sets, and searching to obtain matching results of a plurality of corresponding fault scenes;
s12: then adopt the formulaCalculating a similarity value cos (G, J) between the keyword set and the feature tags of the corresponding fault scenario, wherein +.>
When the value of cos (G, J) approaches 1, the closer the similarity between the two vector sets is, when the value of cos approaches 0, the two vectors are independent of each other, and when the value of cos approaches-1, the two vectors are completely opposite;
s13: selecting a feature tag of a fault scene with a similarity value cos (G, J) closest to 1 in the vector of the input keyword, taking the fault scene corresponding to the feature tag of the fault scene as an optimal matching object, and then carrying out existing resource assessment on the fault scene to generate a verifiable recovery scheme, wherein the existing resources comprise system load capacity, materials left on a ship, load weight on the ship and the number of people carried on the ship;
the scene verification module is used for verifying the safe harbor returning process of the fault scene of the target ship according to the recovery scheme.
2. The real ship verification system based on safe harbor according to claim 1, wherein the basic information of the target ship is acquired through a ship information acquisition module and transmitted to a simulation scene building module.
3. The real ship verification system based on safe harbor according to claim 1, wherein the method for verifying the safe harbor returning process of the fault scene of the target ship comprises the following steps:
s21: firstly, splitting a recoverable verification scheme into a plurality of steps, and carrying out mutual association between each two steps by adopting nodes;
s22: when a fault occurs, carrying out corresponding processing on fault information according to a recoverable verification scheme step, and recording an actual recovery process in the processing process;
calculating the deviation value between the recoverable verification scheme step and the actual recovery scheme step to obtain a node with a larger difference value, and marking the node with the larger difference value as an abnormal node;
s23: and then the scene verification module transmits the abnormal node information to the scheme correction module.
4. A real ship verification system based on safe harbor according to claim 3, wherein the scheme modification module is used for modifying the parameter difference in the original scheme according to the verification information, and the scheme modification module is used for verifying and storing the modified verification scheme again.
5. The real ship verification system based on safe harbor according to claim 1, wherein the fault scene matching module is connected with an external terminal device, the external terminal device is used for inputting keywords of fault information, and then the keywords are searched and matched through the fault scene matching module.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3267409A1 (en) * | 2016-07-04 | 2018-01-10 | Stx France S.A. | Ship with fault detectors, control method, and computer program for implementing same |
| CN109902153A (en) * | 2019-04-02 | 2019-06-18 | 杭州安脉盛智能技术有限公司 | Equipment fault diagnosis method and system based on natural language processing and reasoning by cases |
| CN111488265A (en) * | 2020-04-27 | 2020-08-04 | 北京奇艺世纪科技有限公司 | Fault prediction method, device, equipment and readable storage medium |
| CN111931013A (en) * | 2020-07-28 | 2020-11-13 | 中船邮轮科技发展有限公司 | Logic tree-based safe port returning evaluation method, system and equipment |
| CN113378294A (en) * | 2021-05-24 | 2021-09-10 | 上海外高桥造船有限公司 | Device and method for testing safety harbor return design feasibility |
| CN113627655A (en) * | 2021-07-16 | 2021-11-09 | 深圳供电局有限公司 | Power distribution network pre-disaster fault scene simulation prediction method and device |
| CN114088388A (en) * | 2021-12-10 | 2022-02-25 | 华润电力技术研究院有限公司 | Fault diagnosis method and fault diagnosis device for gearbox |
| CN115828112A (en) * | 2022-12-02 | 2023-03-21 | 德联易控科技(北京)有限公司 | Fault event response method and device, electronic equipment and storage medium |
| CN116012841A (en) * | 2022-12-19 | 2023-04-25 | 浙江大华技术股份有限公司 | Open set image scene matching method and device based on deep learning |
-
2023
- 2023-05-05 CN CN202310496234.9A patent/CN116522501B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3267409A1 (en) * | 2016-07-04 | 2018-01-10 | Stx France S.A. | Ship with fault detectors, control method, and computer program for implementing same |
| CN109902153A (en) * | 2019-04-02 | 2019-06-18 | 杭州安脉盛智能技术有限公司 | Equipment fault diagnosis method and system based on natural language processing and reasoning by cases |
| CN111488265A (en) * | 2020-04-27 | 2020-08-04 | 北京奇艺世纪科技有限公司 | Fault prediction method, device, equipment and readable storage medium |
| CN111931013A (en) * | 2020-07-28 | 2020-11-13 | 中船邮轮科技发展有限公司 | Logic tree-based safe port returning evaluation method, system and equipment |
| CN113378294A (en) * | 2021-05-24 | 2021-09-10 | 上海外高桥造船有限公司 | Device and method for testing safety harbor return design feasibility |
| CN113627655A (en) * | 2021-07-16 | 2021-11-09 | 深圳供电局有限公司 | Power distribution network pre-disaster fault scene simulation prediction method and device |
| CN114088388A (en) * | 2021-12-10 | 2022-02-25 | 华润电力技术研究院有限公司 | Fault diagnosis method and fault diagnosis device for gearbox |
| CN115828112A (en) * | 2022-12-02 | 2023-03-21 | 德联易控科技(北京)有限公司 | Fault event response method and device, electronic equipment and storage medium |
| CN116012841A (en) * | 2022-12-19 | 2023-04-25 | 浙江大华技术股份有限公司 | Open set image scene matching method and device based on deep learning |
Non-Patent Citations (4)
| Title |
|---|
| A method to assess the impact of safe return to port regulatory framework on passenger ships concept design;A. Valcalda, D. de Koningh等;Journal of Marine Engineering & Technology;第111-122页 * |
| Numerical simulations for the safe return to port of a damaged passenger ship in head or following seas;Marco Polo Espinoza Haro等;Ocean Engineering;第305-318页 * |
| SRTP assessment of passenger ships: a simulation tool;Serena Bertagna等;Procedia Computer Science;第571-580页 * |
| 事故下保障极地小型邮轮安全的电气系统设计;崔艳等;中国舰船研究;第116-121页 * |
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