Naval vessel integrated maintenance support method and system thereof

Abstract

The present invention relates to a naval vessel integrated maintenance support method and a system thereof, wherein data generated in a core system mounted on a naval vessel to improve the operation availability of a next-generation naval vessel is collected to diagnose whether equipment is in an abnormal state, abnormal section data is transmitted to land by using a maritime operation satellite communication system as a result of the diagnosis, maintenance can be remotely performed on land, and when remote maintenance is impossible, maintenance parts are automatically ordered and port entry and maintenance plans of the naval vessel are scheduled.

Description

Method and System for Supporting Integrated Maintenance of Vessels

[0001] The present invention relates to a method and system for supporting integrated maintenance of a naval vessel, and more specifically, to a method and system for supporting integrated maintenance of a naval vessel that collects data generated from a core system installed on the vessel to diagnose the presence or absence of abnormal conditions in equipment in order to improve the operational availability of a next-generation naval vessel, transmits abnormal section data resulting from the diagnosis to land using a maritime operational satellite communication system, enables remote maintenance to be performed on land, automatically orders maintenance parts when remote maintenance is impossible, and schedules the vessel's port entry and maintenance plan.

[0002] The decline in naval personnel resources is becoming increasingly severe due to the recent drop in birth rates and the avoidance of naval duty. However, the number of newly built vessels is increasing, and the application of new technologies to ships is raising the demand for necessary personnel.

[0003] As a result, there is a shortage of crew members capable of maintaining key equipment on the ships, and the difficulty in maintaining or repairing equipment within the vessels is significantly reducing the operational availability of the ships.

[0004] Conventionally, PHM systems have been used to monitor key equipment on ships and diagnose malfunctions; however, since the results of these systems are not reflected in remote equipment systems and can only be verified by personnel on board the ship, it has been difficult for land-based maintenance depots performing major maintenance to receive these results.

[0005] Furthermore, the lack of a remote maintenance system applicable to large vessels has continuously presented a problem where ship personnel must perform maintenance directly on board or by docking on land.

[0006] The technical objective of the present invention is to provide a method and system for supporting integrated maintenance of a ship, which can collect data generated from a core system installed on a ship to improve the operational availability of a next-generation ship, diagnose the presence or absence of abnormal conditions in the equipment, transmit the abnormal section data resulting from the diagnosis to land using a maritime operational satellite communication system, and support remote maintenance on land.

[0007] Furthermore, the technical objective of the present invention is to provide a ship integrated maintenance support method and system that apply large-scale language model technology to enable rapid and effective fault diagnosis and remote maintenance while complying with national defense security.

[0008] Furthermore, the technical objective of the present invention is to provide a method and system for integrated ship maintenance support that includes a logistics support function capable of sharing necessary information between a land-based maintenance depot and a manufacturer and automatically ordering maintenance parts, so that when it is determined that maintenance is impossible through remote inspection, the ship can return to port for immediate maintenance.

[0009] The technical solution of the present invention provides a method and system for supporting integrated ship maintenance, which collects equipment data related to equipment installed on a ship, monitors the status of the equipment based on the collected equipment data, diagnoses equipment failures based on the monitoring results, extracts failure section data, transmits the collected equipment data, extracted failure section data, and equipment failure diagnosis results to land if it is determined that repair is impossible on the ship, generates current status diagnosis results and an optimal maintenance manual using a trained large language model based on the received equipment data, failure section data, and equipment failure diagnosis results, generates a failure maintenance guide video based on the optimal maintenance manual and transmits it to the ship, automatically orders parts related to the diagnosed equipment if it is determined that repair is impossible via remote maintenance, and schedules the ship's arrival and maintenance according to the arrival time of the ordered parts related to the diagnosed equipment.

[0010] According to the present invention, the operational availability of a vessel can be increased by continuously monitoring the condition of the equipment and preventing failures in advance through preventive maintenance.

[0011] In addition, according to the present invention, maintenance engineers can perform maintenance on land without boarding the ship through remote maintenance, thereby significantly reducing the number of personnel required to work on the ship.

[0012] In addition, according to the present invention, necessary parts and materials can be rapidly supplied in a timely manner by utilizing real-time data and an automated logistics support system, thereby improving the operational sustainability of the vessel.

[0013] FIG. 1 is a diagram showing a flowchart regarding a method for supporting integrated maintenance of a vessel according to one embodiment of the present invention.

[0014] FIG. 2 is a block diagram showing a ship integrated maintenance support system according to one embodiment of the present invention.

[0015] According to an embodiment of the present invention for solving the above technical problem, a ship integrated maintenance support method comprises: a step of collecting equipment data related to equipment mounted on a ship and monitoring the status of the equipment based on the collected equipment data; a step of diagnosing a failure of the equipment and extracting failure section data based on the monitoring results; a step of transmitting the collected equipment data, the extracted failure section data, and the equipment failure diagnosis results to an external land source when it is determined that repair is impossible on the ship; a step of generating a current status diagnosis result and an optimal maintenance manual using a trained large language model based on the received equipment data, failure section data, and equipment failure diagnosis results; a step of generating a failure maintenance guide video based on the optimal maintenance manual and transmitting it to the ship; and a step of automatically ordering parts related to the equipment diagnosed as faulty and scheduling the ship's arrival and maintenance according to the arrival time of the ordered parts related to the equipment diagnosed as faulty when it is determined that repair is impossible via remote maintenance.

[0016] The integrated maintenance support method for vessels may further include a step of generating a large language model by learning data such as equipment manuals, equipment specifications, past equipment failure or repair history information, and failure information data.

[0017] The integrated maintenance support method for a vessel may further include the step of transmitting a failure risk alarm signal when, based on the monitoring results, it is determined that the equipment mounted on the vessel is in an abnormal state.

[0018] According to another embodiment of the present invention for solving the above technical problem, a ship integrated maintenance support system comprises: a monitoring unit that collects equipment data related to equipment mounted on a ship and monitors the status of the equipment based on the collected equipment data; a fault diagnosis unit that diagnoses a fault in the equipment and extracts fault section data based on the monitoring results; and a first control unit that transmits the collected equipment data, the extracted fault section data, and the fault diagnosis results of the equipment to an external land source when it is determined that repair is impossible on the ship; and a land integrated maintenance support device that generates a current status diagnosis result and an optimal maintenance manual using a learned large language model based on the received equipment data, fault section data, and the fault diagnosis results of the equipment; a second control unit that generates a fault maintenance guide video based on the optimal maintenance manual and transmits it to the ship; and a maintenance scheduling unit that automatically orders parts related to the fault-diagnosed equipment and schedules the ship's arrival and maintenance according to the arrival time of the ordered parts related to the fault-diagnosed equipment when it is determined that repair is impossible via remote maintenance.

[0019] The above-described land-based integrated maintenance device may further include a large language model learning unit that generates a large language model by learning data such as equipment manuals, equipment manuals, equipment specifications, past equipment failure or repair history information, and failure information data.

[0020] The above-described integrated maintenance device for the vessel may further include a first communication unit for a failure risk alarm signal when, based on the monitoring results, it is determined that the equipment mounted on the vessel is in an abnormal state.

[0021] In describing the embodiments of this specification, if it is determined that a detailed description of related known configurations or functions could obscure the gist of this specification, such detailed description is omitted.

[0022] In the present invention, the description of a specific configuration as "including" does not exclude configurations other than said configuration, and means that additional configurations may be included within the scope of the practice of the present invention or the technical concept of the present invention.

[0023] Furthermore, the components shown in the embodiments of the present invention are depicted independently to represent different characteristic functions and do not imply that each component consists of separate hardware or a single software unit. That is, each component is listed and included as a separate component for convenience of explanation; however, at least two of the components may be combined to form a single component, or a single component may be divided into multiple components to perform a function, and such integrated and separated embodiments of each component are included within the scope of the present invention as long as they do not deviate from the essence of the invention.

[0024] Furthermore, some components may not be essential components performing an essential function in the present invention, but merely optional components for enhancing performance. The present invention may be implemented by including only the components essential for realizing the essence of the present invention, excluding components used solely for performance enhancement, and a structure including only the essential components, excluding optional components used solely for performance enhancement, is also included within the scope of the rights of the present invention.

[0025] In addition, components expressed as '~part (unit)', 'module', etc. in this specification may consist of two or more components combined into a single component, or a single component may be divided into two or more components according to more detailed functions. Furthermore, each component described below may additionally perform some or all of the functions of other components in addition to the primary function it is responsible for, and it goes without saying that some of the primary functions of each component may be exclusively performed by other components.

[0026] In addition, detailed descriptions of known functions and configurations that may obscure the essence of the invention will be omitted in this specification.

[0027] FIG. 1 is a diagram showing a flowchart regarding a method for supporting integrated maintenance of a vessel according to one embodiment of the present invention.

[0028] Referring to FIG. 1, in step 110, a device performing the ship integrated maintenance support method (hereinafter referred to as the "ship integrated maintenance support system") monitors the status of equipment mounted on the ship.

[0029] The ship integrated maintenance support system includes a ship integrated maintenance support device operated on the ship and a land integrated maintenance support device operated on land.

[0030] The integrated maintenance support device for ships collects equipment data generated from equipment installed on the ship via PLCs or servers, and monitors the status of the equipment based on the collected data.

[0031] In step 120, if the integrated maintenance support device determines, based on monitoring results, that the equipment installed on the ship is in an abnormal state, it transmits a failure risk alarm signal to the outside (crew).

[0032] The ship's integrated maintenance support system analyzes equipment data based on monitoring in real time and provides a failure risk alarm signal to the crew when symptoms corresponding to a predefined failure profile appear.

[0033] In step 130, the ship integrated maintenance support device diagnoses equipment failure and extracts failure section data.

[0034] In one embodiment of the present invention, the ship integrated maintenance support device can diagnose equipment failures of a ship using a Convolutional Neural Network (CNN) algorithm based on collected equipment data, failure section data, and past failure learning data. The ship integrated maintenance support device can extract failure section data based on the diagnosed failures. In addition, in one embodiment of the present invention, the ship integrated maintenance support device can predict the remaining lifespan and failure time of a failed device using a Long Short Term Memory (LSTM) algorithm.

[0035] In one embodiment of the present invention, steps 110 to 130 may be performed using a PHM system. Prognostics and Health Management (PHM) refers to an effective health management technology that monitors the condition of a vessel's equipment or mechanical systems in real time using sensors during the operation and maintenance phase, diagnoses to detect signs of failure, and predicts the remaining effective lifespan. A PHM system is a system that collects status information to detect abnormal situations in the system, and predicts the time of failure in advance through analysis and predictive diagnosis, thereby optimizing the operation and management of the facility.

[0036] In step 140, the ship integrated maintenance support device determines whether the failure that occurred can be maintained on board the ship.

[0037] If maintenance can be performed on board, proceed to Step 150, and if maintenance cannot be performed on board, proceed to Step 160.

[0038] A maintenance crew member on board the vessel determines whether maintenance can be performed on board by analyzing fault section data extracted through the vessel's integrated maintenance support system and visual inspection of the equipment.

[0039] At step 150, the crew performs maintenance directly on board the ship.

[0040] In step 160, the ship's integrated maintenance support device transmits equipment data, fault section data, and the results of the equipment's fault diagnosis to an external land-based integrated maintenance support device.

[0041] According to one embodiment of the present invention, the ship integrated maintenance support device transmits data, fault section data, and equipment fault diagnosis results to an external land-based integrated maintenance support device via the Maritime Operational Satellite Communication System (MOSCOS-II) through an L4 switch, IPS, router, and modem in the PHM system.

[0042] In step 170, the ground integrated maintenance support device generates current status diagnosis results and optimal maintenance manual guidelines using a learned large language model based on the received equipment data, fault section data, and equipment fault diagnosis results.

[0043] The Large Language Model (LLM) used in this invention refers to a generative artificial intelligence model that learns large-scale language data, identifies sentence structure, grammar, semantics, etc., and generates language in an interactive conversational form.

[0044] Large language models utilize vast amounts of collected text data to learn the basic structure, grammar, and relationships between words, thereby identifying the characteristics and contexts of various languages, and store this information in the model's parameters. Subsequently, the large language model adjusts the pre-trained model to suit a specific task.

[0045] In one embodiment of the present invention, a large language model learning unit included in a ground-based integrated maintenance support device generates a large language model by learning structured / unstructured data such as equipment manuals, equipment manuals, equipment specifications, past equipment failure / repair history information, and failure information data.

[0046] The integrated maintenance support device for the vessel uses received equipment data, fault section data, and equipment fault diagnosis results, along with a large language model generated by the large language model learning unit, to generate and provide current status diagnosis results and optimal maintenance manual guidelines in a chatbot format.

[0047] In the present invention, by installing equipment related to large language models, such as a large language model learning unit, on land rather than on a ship, the security policies of the state or navy are complied with.

[0048] In step 180, the land-based integrated maintenance support device generates a breakdown maintenance guide video and transmits it to the ship-based integrated maintenance support device.

[0049] With the land-based integrated maintenance support system, engineers at land-based maintenance depots or equipment manufacturers utilize a remote maintenance system equipped with AR / VR technology to generate maintenance guides, such as videos on repairs for failures, and transmit them to the vessel; based on this, they then remotely inspect and maintain the equipment installed on the vessel from land.

[0050] In step 190, if it is determined that repair is impossible via remote maintenance, the land-based integrated maintenance support device automatically orders parts related to the equipment diagnosed as faulty, and schedules the vessel's arrival and maintenance according to the arrival time of the ordered parts related to the equipment.

[0051] If it is determined that maintenance is impossible on board the vessel based on an assessment of the severity of a malfunction and the feasibility of maintenance of equipment installed on the vessel, the land-based integrated maintenance support system automatically orders the parts required for maintenance.

[0052] Subsequently, it searches for the lead times of the ordered parts and available replacement parts. The onshore integrated maintenance support system automatically manages maintenance methods and resource allocation based on lead times, and schedules and provides optimal vessel entry and maintenance.

[0053] Thus, the integrated ship maintenance support system integrates fault diagnosis, remote maintenance, and logistics support into a single system, enabling the provision of rapid and accurate maintenance as a whole.

[0054] FIG. 2 is a block diagram showing a ship integrated maintenance support system according to one embodiment of the present invention.

[0055] Referring to FIG. 2, the ship integrated maintenance support system (200) includes a ship integrated maintenance support device (210) operated on a ship and a land integrated maintenance support device (220) operated on land.

[0056] The ship integrated maintenance support device (210) includes a monitoring unit (211), a first communication unit (212), a fault diagnosis unit (213), and a first control unit (214), and the land integrated maintenance support device (220) includes a second communication unit (221), a maintenance manual generation unit (222), a large language model learning unit (223), a second control unit (224), and a maintenance scheduling unit (225).

[0057] The monitoring unit (211) monitors the status of the equipment mounted on the ship.

[0058] The monitoring unit (211) collects equipment data generated from equipment mounted on the vessel through a PLC or server, etc., and monitors the status of the equipment based on the collected equipment data.

[0059] The first communication unit (212) transmits a failure risk alarm signal to the outside (crew) when it is determined that the equipment mounted on the ship is in an abnormal state based on the monitoring results.

[0060] The fault diagnosis unit (213) analyzes the data of the equipment based on monitoring in real time, and when symptoms corresponding to a predefined fault profile appear, provides a fault risk alarm signal to the crew through the first communication unit (212).

[0061] The fault diagnosis unit (213) diagnoses the equipment's fault and extracts the fault section data.

[0062] In one embodiment of the present invention, the fault diagnosis unit (213) can diagnose a fault in the equipment of a vessel using a Convolutional Neural Network (CNN) algorithm based on collected equipment data, fault section data, and past fault learning data. The fault diagnosis unit (213) can extract fault section data based on the diagnosed fault. In addition, in one embodiment of the present invention, the fault diagnosis unit (213) can predict the remaining lifespan and the time of failure of a faulty device using a Long Short Term Memory (LSTM) algorithm.

[0063] In one embodiment of the present invention, the above diagnosis may be performed using a PHM system. Prognostics and Health Management (PHM) refers to an effective health management technology that monitors the status of a vessel's equipment or mechanical systems in real time using sensors during the operational maintenance phase, diagnoses to detect signs of failure, and predicts the remaining effective lifespan. A PHM system is a system that achieves optimization of equipment operation and management by collecting status information to detect abnormal situations in the system, and predicting the time of failure in advance through analysis and predictive diagnosis.

[0064] The first control unit (214) determines whether the fault that occurred can be maintained inside the vessel.

[0065] A maintenance crew member on board the ship determines whether maintenance can be performed on board by examining the fault section data extracted through the first control unit (214) and the equipment visually. If maintenance can be performed on board, the crew member performs the maintenance directly on board.

[0066] In cases where onboard maintenance is impossible, the first control unit (214) transmits equipment data, fault section data, and equipment fault diagnosis results to an external land-based integrated maintenance support device (220) through the first communication unit (212).

[0067] According to one embodiment of the present invention, the first control unit (214) transmits data, fault section data, and equipment fault diagnosis results to an external land-based integrated maintenance support device (220) via the maritime operational satellite communication system (MOSCOS-II) through the L4 switch, IPS, router, and modem in the PHM system.

[0068] The second communication unit (221) receives equipment data, fault section data, and equipment fault diagnosis results.

[0069] The maintenance manual generation unit (222) generates current status diagnosis results and optimal maintenance manual guidelines using a learned large language model based on the received equipment data, fault section data, and equipment fault diagnosis results.

[0070] The Large Language Model (LLM) used in this invention refers to a generative artificial intelligence model that learns large-scale language data, identifies sentence structure, grammar, semantics, etc., and generates language in an interactive conversational form.

[0071] Large language models utilize vast amounts of collected text data to learn the basic structure, grammar, and relationships between words, thereby identifying the characteristics and contexts of various languages, and store this information in the model's parameters. Subsequently, the large language model adjusts the pre-trained model to suit a specific task.

[0072] In one embodiment of the present invention, the large language model learning unit (223) learns structured / unstructured data such as equipment manuals, equipment manuals, equipment specifications, past equipment failure / repair history information, and failure information data to generate a large language model.

[0073] The maintenance manual generation unit (222) generates and provides current status diagnosis results and optimal maintenance manual guidelines in a chatbot format using the received equipment data, fault section data and equipment fault diagnosis results and the large language model generated by the large language model learning unit (223).

[0074] In the present invention, by installing equipment related to a large language model, such as a large language model learning unit (223), on land rather than on a ship, the security policy of the state or navy is complied with.

[0075] The second control unit (224) generates a fault maintenance guide video and transmits it to the ship integrated maintenance support device (210) through the second communication unit (221).

[0076] The second control unit (224) allows an engineer at a land-based maintenance depot or equipment manufacturer to use a remote maintenance system that includes AR / VR technology to generate a maintenance guide, such as a video of a breakdown, and transmit it to the ship, and based on this, remotely inspect and maintain the equipment mounted on the ship from land.

[0077] If it is determined that repair is impossible through remote maintenance, the maintenance scheduling unit (225) automatically orders parts related to the equipment diagnosed for failure and schedules the entry and maintenance of the vessel according to the time of receipt of the parts related to the ordered equipment.

[0078] When it is determined that maintenance is impossible within the vessel based on the severity of the failure and the possibility of maintenance of the equipment installed on the vessel, the maintenance scheduling unit (225) automatically orders the parts required for maintenance.

[0079] After that, the maintenance scheduling unit (225) performs the lead time of the ordered parts and searches for replaceable parts. The maintenance scheduling unit (225) automatically performs maintenance methods and resource allocation management according to the lead time, and schedules and provides optimal ship entry and maintenance.

[0080] Thus, the integrated maintenance support system (200) can provide rapid and accurate maintenance by integrating fault diagnosis, remote maintenance, and logistics support into a single system.

Claims

1. A step of collecting equipment data related to equipment mounted on a vessel and monitoring the status of the equipment based on the collected equipment data; Based on the above monitoring results, a step of diagnosing a failure of the equipment and extracting failure section data; If it is determined that repair is impossible in the above-mentioned trap, the step of transmitting the collected equipment data, the extracted fault section data, and the equipment fault diagnosis results to an external land source; A step of generating a current status diagnosis result and an optimal maintenance manual using a trained large language model based on the above-mentioned received equipment data, fault section data, and equipment fault diagnosis results; A step of generating a fault maintenance guide video based on the above optimal maintenance manual and transmitting it to the above vessel; and A ship integrated maintenance support method characterized by including the step of automatically ordering parts related to equipment diagnosed for failure when it is determined that repair is impossible via remote maintenance, and scheduling the ship's arrival and maintenance according to the arrival time of the ordered parts related to equipment diagnosed for failure.

2. In Paragraph 1, A method for supporting integrated maintenance of a vessel, characterized by further including a step of generating a large language model by learning data such as equipment manuals, equipment specifications, past equipment failure or repair history information, and failure information data.

3. In Paragraph 1, A method for supporting integrated maintenance of a ship, characterized by further including the step of transmitting a failure risk alarm signal when, based on the monitoring results above, it is determined that the equipment mounted on the ship is in an abnormal state.

4. A monitoring unit that collects equipment data related to equipment installed on a vessel and monitors the status of the equipment based on the collected equipment data, and Based on the above monitoring results, a fault diagnosis unit that diagnoses the fault of the equipment and extracts fault section data, and A ship integrated maintenance support device comprising a first control unit that transmits the collected equipment data, the extracted fault section data, and the fault diagnosis results of the equipment to an external land source when it is determined that repair is impossible at the ship; and A maintenance manual generation unit that generates current status diagnosis results and an optimal maintenance manual using a learned large language model based on the above-mentioned received equipment data, fault section data, and equipment fault diagnosis results, and A second control unit that generates a fault maintenance guide video based on the above optimal maintenance manual and transmits it to the above vessel, and A ship integrated maintenance support system characterized by including a land-based integrated maintenance support device that, when it is determined that repair is impossible via remote maintenance, automatically orders parts related to the equipment diagnosed as faulty, and schedules the ship's arrival and maintenance according to the arrival time of the ordered parts related to the equipment diagnosed as faulty.

5. In Paragraph 4, The above-described land-based integrated maintenance device is a ship integrated maintenance support system characterized by further including a large language model learning unit that generates a large language model by learning data such as equipment manuals, equipment manuals, equipment specifications, past equipment failure or repair history information, and failure information data.

6. In Paragraph 4, A ship integrated maintenance support system characterized by further including a first communication unit for a failure risk alarm signal when, based on the monitoring results above, it is determined that the equipment mounted on the ship is in an abnormal state.

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