Provided is a method and apparatus for managing failure modes for condition based maintenance in marine resource production equipment. The apparatus includes a distributed control system (DCS), monitoring, and performance evaluation module that constructs a distributed control system for the systematic collection and management of maintenance data, develops a real-time data management and monitoring system, and develops an offshore plant performance monitoring level performance evaluation system, a condition based maintenance platform that maps data from a real-time sensor database of the distributed control system (DCS), monitoring, and performance evaluation module, stores the mapped data, and manages learnable failure modes based on normal mode and failure mode data, a diagnosis, prediction, maintenance, and shape management module that develops technology for automatically improving the reliability of condition based maintenance based on the learnable failure mode management according to data transmitted from the distributed control system (DCS), monitoring, and performance evaluation module to the condition based maintenance platform, develops an offshore plant diagnosis, prediction, and maintenance system, and develops a diagnosis and condition based maintenance operating platform and a shape management system, and a virtual offshore plant simulator that constructs a virtual offshore plant simulator, constructs a scenario based operation training system, and develops a condition based maintenance solution and an input and output virtualization system for interoperation with a supervisory control and data acquisition (SCADA) system for an offshore plant.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. An apparatus for managing failure modes for condition based maintenance in marine resource production equipment, the apparatus comprising: a performance evaluation module (100) comprising a distributed control system (DCS) (110) for an offshore plant that collects maintenance data, a monitoring system (120) that monitors a top side, a hull, a subsea region, and an environmental load using the collected data from the distributed control system (DCS) for the offshore plant, a realtime sensor and operation database (DB) (150) that stores the data monitored by the monitoring system (120), and a real-time sensor data database (DB) (130) that stores sensor data based on data from the real-time sensor and operation database (DB)(150), the performance evaluation module (100) being configured to construct a distributed control system for systematic collection and management of maintenance data and to evaluate real-time data management and monitoring performance; a condition based maintenance platform (200) that maps data from real-time sensor data of the performance evaluation module (100), stores the mapped data, and manages learnable failure modes based on normal mode and failure mode data; a diagnosis, prediction, maintenance, and shape management module (300) comprising a data mapping server (210) that maps data from the real-time sensor data database (DB) (130) of the performance evaluation module (100), and stores the mapped data in a diagnosis, prediction, and maintenance data mart (220) and a normal mode and failure mode database (DB) (230) and a learnable failure mode management system (240) that manages learnable failure modes based on the data in the normal mode and failure mode database (DB) (230), the diagnosis, prediction, maintenance, and shape management module (300) being configured to develop technology for automatically improving reliability of condition based maintenance based on learnable failure mode management according to data transmitted from the performance evaluation module (100) to the condition based maintenance platform (200), an offshore plant diagnosis, prediction, and maintenance system, a diagnosis and condition based maintenance operating platform, and a shape management system; and a virtual offshore plant simulator (400) that constructs a virtual offshore plant simulator, constructs a scenario based operation training system, and develops a condition based maintenance solution and an input and output virtualization system for interoperation with a supervisory control and data acquisition (SCADA) system for an offshore plant. 2. The apparatus according to claim 1, wherein the performance evaluation module (100) further comprises a performance evaluation system (140) that evaluates system performance, such as an operation history, a performance index, performance calculation, and a performance history, based on a platform independent model (PIM) and a platform specific model (PSM), the performance evaluation system (140) being connected to the distributed control system (DCS) (110) for the offshore plant to perform control processing from a total control system (160). 3. The apparatus according to claim 1, wherein the diagnosis, prediction, maintenance, and shape management module comprises: an intelligent diagnosis system that performs general diagnosis, and analyzes a malfunction likelihood and a failure likelihood; a prediction system that analyzes failure modes, predicts a remaining life span, and learns the failure modes; a maintenance system that analyzes causes of failure, analyzes a severity and reliability block diagram (RBD), and determines maintenance; and a shape management system that manages requirements and base lines, configures and changes a plant, and manages matchability based on product information data and maintenance history data. 4. The apparatus according to claim 1, wherein the virtual offshore plant simulator (400) comprises an input and output virtualization system (410) that operates on information provided from a shipyard, using a virtual offshore plant operating system (416) comprising a virtualization system (414) and an operating control system (415) based on a virtual reality model database (DB) (412) and a training scenario database (DB) (413) comprising production process monitoring and control, field worker training, interoperation with field operators, education for emergency response, and other real situation scenarios according to a process simulation model (411) based on control information from the distributed control system (DCS) (110) for the offshore plant, and transmits control results based on the operation to the distributed control system (DCS) (110) for the offshore plant. 5. The apparatus according to claim 4, wherein the monitoring system interoperates with the operating control system, and feeds images back to the virtual offshore plant operating system. 6. A method for managing failure modes for condition based maintenance in marine resource production equipment using the apparatus for managing failure modes for condition based maintenance in marine resource production equipment according to claim 1, the method comprising: completing a failure mode database (DB) through failure mode pattern recognition and intellectualization based on normal mode pattern analysis and intellectualization, determination between normal and failure modes and intellectualization, and failure mode pattern decision and intellectualization after construction of an initial database (DB) to approve failure mode and normal mode data (S100); collecting marine SCADA data (S110); monitoring the collected marine SCADA data (S120); performing diagnosis through the failure mode database (DB) based on the monitoring results (S130); performing prediction based on the diagnosis results (S140); performing decision-making based on the prediction results (S150); and maintaining contents regarding the decision-making (S160). 7. The method according to claim 6, wherein the failure mode database (DB) completed through the failure mode pattern recognition and intellectualization is used as a knowledge based reliability database (DB) through reuse of knowledge. 8. The method according to claim 7, wherein the failure mode database (DB) is applied to learnable failure mode management knowledge base technology through engineering simulator data, shipyard technology data, onshore plant field data, and reliability data such that the failure mode database (DB) can be provided as an offshore plant engineering knowledge service. 9. The method according to claim 8, wherein the step of collecting the marine SCADA data (S110) comprises: duplicating the distributed control system of the performance evaluation module (100) such that the distributed control system can perform real-time large-capacity data collection and monitoring; and performing a smart sensor network standard protocol, i.e. a Highway Addressable Remote Transducer (HART) interface, with respect to field equipment. 10. A method for testing a virtual offshore plant to verify an offshore plant related system using an apparatus for managing failure modes for condition based maintenance in marine resource production equipment, the method comprising: constructing a virtual offshore plant operating system comprising an input and output simulator, a visualization system, and an operating control system, and constructing a virtual reality three-dimensional (3D) model database based on drafts of a shipyard and a process simulation model, to construct a virtual offshore plant test bed comprising a training scenario database (DB); connecting the input and output simulator to the distributed control system (DCS) for the offshore plant; the visualization system visualizing the virtual reality 3D model database based on the drafts of the shipyard and the process simulation model; and the operating control system performing operation training based on a training scenario database (DB) and the visualization system. 11. A method for managing failure modes for condition based maintenance in marine resource production equipment using the apparatus for managing failure modes for condition based maintenance in marine resource production equipment according to claim 2, the method comprising: completing a failure mode database (DB) through failure mode pattern recognition and intellectualization based on normal mode pattern analysis and intellectualization, determination between normal and failure modes and intellectualization, and failure mode pattern decision and intellectualization after construction of an initial database (DB) to approve failure mode and normal mode data (S100); collecting marine SCADA data (S110); monitoring the collected marine SCADA data (S120); performing diagnosis through the failure mode database (DB) based on the monitoring results (S130); performing prediction based on the diagnosis results (S140); performing decision-making based on the prediction results (S150); and maintaining contents regarding the decision-making (S160). 12. A method for managing failure modes for condition based maintenance in marine resource production equipment using the apparatus for managing failure modes for condition based maintenance in marine resource production equipment according to claim 3, the method comprising: completing a failure mode database (DB) through failure mode pattern recognition and intellectualization based on normal mode pattern analysis and intellectualization, determination between normal and failure modes and intellectualization, and failure mode pattern decision and intellectualization after construction of an initial database (DB) to approve failure mode and normal mode data (S100); collecting marine SCADA data (S110); monitoring the collected marine SCADA data (S120); performing diagnosis through the failure mode database (DB) based on the monitoring results (S130); performing prediction based on the diagnosis results (S140); performing decision-making based on the prediction results (S150); and maintaining contents regarding the decision-making (S160). 13. A method for managing failure modes for condition based maintenance in marine resource production equipment using the apparatus for managing failure modes for condition based maintenance in marine resource production equipment according to claim 4, the method comprising: completing a failure mode database (DB) through failure mode pattern recognition and intellectualization based on normal mode pattern analysis and intellectualization, determination between normal and failure modes and intellectualization, and failure mode pattern decision and intellectualization after construction of an initial database (DB) to approve failure mode and normal mode data (S100); collecting marine SCADA data (S110); monitoring the collected marine SCADA data (S120); performing diagnosis through the failure mode database (DB) based on the monitoring results (S130); performing prediction based on the diagnosis results (S140); performing decision-making based on the prediction results (S150); and maintaining contents regarding the decision-making (S160). 14. A method for managing failure modes for condition based maintenance in marine resource production equipment using the apparatus for managing failure modes for condition based maintenance in marine resource production equipment according to claim 5, the method comprising: completing a failure mode database (DB) through failure mode pattern recognition and intellectualization based on normal mode pattern analysis and intellectualization, determination between normal and failure modes and intellectualization, and failure mode pattern decision and intellectualization after construction of an initial database (DB) to approve failure mode and normal mode data (S100); collecting marine SCADA data (S110); monitoring the collected marine SCADA data (S120); performing diagnosis through the failure mode database (DB) based on the monitoring results (S130); performing prediction based on the diagnosis results (S140); performing decision-making based on the prediction results (S150); and maintaining contents regarding the decision-making (S160).