CN113312709B - Ship racing cabin based on digital intelligence fusion - Google Patents
Ship racing cabin based on digital intelligence fusion Download PDFInfo
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- CN113312709B CN113312709B CN202110702602.1A CN202110702602A CN113312709B CN 113312709 B CN113312709 B CN 113312709B CN 202110702602 A CN202110702602 A CN 202110702602A CN 113312709 B CN113312709 B CN 113312709B
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Abstract
The invention discloses a ship racing cabin based on digital intelligence fusion, which comprises an equipment layer, a perception layer, a network layer, a central layer, a service layer and an application layer; the intelligent control system comprises a perception layer, a block chain safety network layer, a central layer, a control system and a control system, wherein the perception layer is formed by using technical means such as an intelligent Internet of things, an intelligent body and a digital main line, information data such as cabin equipment, cabin environment and sea conditions are automatically perceived, safe interactive sharing of whole system data is realized through the block chain safety network layer, the central layer of a racing cabin is constructed based on a hybrid driving cabin intelligent control system of massive data and a digital twin model, the local and remote automatic control of a real ship cabin is realized, and the intelligent companion of a real ship under tasks such as value comparison, standby navigation, patrol, maintenance and training is ensured by adopting an intelligent operation and maintenance system. The intelligent ship cabin intelligent control system solves the problems of low intelligent level of the ship cabin number, low convenience in operation and maintenance and the like, improves the intelligent and digital intelligent level of the ship electromechanical system, improves the use efficiency of cabin equipment, reduces personnel and efficiency, and reduces the cost in the whole life period.
Description
Technical Field
The invention relates to the field of ship power system design, in particular to a ship racing cabin based on digital intelligence fusion.
Background
The engine room is a 'heart' of ship navigation, comprises a plurality of professional systems such as power, electric power, damage pipes and the like, relates to the whole processes of personnel command, control, operation, maintenance and the like, and is a huge system with higher man-machine-ring coupling degree. The traditional engine room mostly adopts mechanical control and personnel battle position operation, so that the overall automation level of the engine room is lower. With the strategic transformation of naval forces from offshore to deep open sea and the rapid development of naval force equipment, the system is oriented to multi-sea-area, multi-layer-chain, multi-time-domain and unmanned cluster combined systems, and higher requirements are put on the digitization, informatization and intelligence levels of ship cabins under new situations with multiple tasks and high complexity.
Under the condition of complex system operation tasks, the digital level of cabin equipment needs to be greatly improved, and the traditional mechanical monitoring mode based on the system and the equipment is changed into a task-oriented digital perception monitoring mode, so that the multi-system operation efficiency is improved. Aiming at the conditions of high technical complexity and coupling degree and high task intensity of the cabin system, the intelligent technology is utilized to perform state evaluation, fault diagnosis and optionally maintenance of the system equipment in real time, so that the workload of crews is reduced, and the reliability and the on-board rate of the system are improved. In the suddenly changing ocean environment, the artificial intelligence technology is utilized to quickly fuse and transmit the information such as maneuverability, endurance, available efficiency of power and electricity and the like to the ship command system in real time, and meanwhile, the auxiliary decision-making system can assist the commander to make decisions in time according to tasks and system states so as to meet the maximum task contribution rate of the ship under the condition of damage of the engine room.
With the high-speed development of advanced information communication technologies such as big data, digital twin, cloud computing and the like, a Saobo-physical space (Cyber Physical Space, CPS) method becomes an enabling technology for improving the digitization and the intellectualization level of ships. The technology integrates the physical world and all the entities of the information world in a multidimensional manner and performs real-time interaction through the integration of the physical space of the microblog, and provides support of real-time sensing, information feedback, dynamic control and the like by utilizing informatization means such as calculation, communication, control and the like so as to monitor the physical space entity in a digital and model-driven artificial intelligence manner. The remote test and operation and maintenance of the ship cabin, the intelligent test and the operation and maintenance can be realized through the Saobo cabin technology, and the crossing development from the unmanned test and the operation and maintenance can be realized.
Therefore, it is highly desirable to provide a ship racing cabin based on digital intelligence integration, which improves the intelligent and digital intelligent level of the ship electromechanical system, improves the operation reliability and the operation convenience of the ship electromechanical system and equipment in a complex environment, greatly reduces the workload of crew, and improves the capability span of using efficiency, reducing efficiency and cost in the whole life of cabin equipment.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a ship racing cabin based on digital intelligence fusion.
The technical scheme adopted for solving the technical problems is as follows:
the invention provides a ship racing cabin based on digital intelligence fusion, which comprises a top layer frame system, wherein the top layer frame system is sequentially arranged from bottom to top: the device layer, the perception layer, the network layer, the central layer, the service layer and the application layer; wherein:
the equipment layer is the hardware equipment of the ship and comprises a main turbine, a gas turbine, a power auxiliary machine, a cabin damage pipe system, a main turbine, an oil-water-gas system, a reactor, a diesel engine, a main speed reducer and a slurry shaft system;
a perception layer, comprising: the cabin Internet of things, cabin intelligent bodies and digital main lines; information data for automatically sensing cabin equipment, cabin environment, sea conditions;
a network layer, comprising: cabin internet, cabin resource center, cabin cloud platform, cabin block chain safety network; the secure interactive sharing of the whole system data is realized through a cabin block chain secure network;
a hub layer, comprising: the cabin digital twin body and the cabin intelligent control system; constructing a central layer of the racing car cabin based on the mass data and the cabin digital twin hybrid driving cabin intelligent control system;
a service layer, comprising: intelligent operation and maintenance management, intelligent command management, intelligent channel management, intelligent resource management, intelligent health management and intelligent training management; the system has the local and remote automatic control of the real ship cabin, and realizes the intelligent operation and maintenance function;
an application layer, comprising: intelligent companion, value-added, standby, patrol, maintenance and training; the intelligent operation, control and management of tasks of actual ship crews on value, standby navigation, patrol, maintenance and training can be guaranteed, and the intelligent companion navigation of actual ships is realized through the digital racing cabin.
Further, in the perception layer of the ship racing cabin, the following steps are provided:
the intelligent sensing system is characterized in that the intelligent sensing system is a ship racing cabin sensing layer, the intelligent sensing equipment is a microwave, laser, spectrum and radio frequency sensing equipment, the Internet of things of cabin systems and equipment is constructed, the cabin intelligent sensing system of cabin environments, positions and resources is combined, real-time ubiquitous sensing among equipment and equipment, people and people, people and equipment and cabin and marine environments in an electromechanical cabin is realized, information interaction, real-time feedback and automatic control capability are realized, a digital main line is utilized to establish a standardized communication protocol, interface and structure, and the plug-and-play and information autonomous reporting capability of the intelligent sensing equipment and the system is supported.
Further, in the network layer of the ship race-room of the invention:
the method is characterized in that the network source linkage and transverse and longitudinal defense are realized as the targets of a network layer of the ship racing engine room, a high-speed basic network source for interconnection and intercommunication of engine room power Internet, electric power Internet and damage management Internet as data transmission carriers is constructed, the requirement of cross-domain large-flow information interaction linkage is met, the block chain safety network technology is adopted, the safety isolation operation of each professional Internet is transversely formed, the encryption information authentication capability of the engine room Internet and a cloud platform is longitudinally formed, the early warning of a safety event is realized, the safety situation is perceived, and the information communication can be self-healed; providing heterogeneous fusion calculation with separated distributed computation and mass data storage, interaction and sharing by using cabin resource centers of a data center, a super computation center and a disaster recovery center; and supporting big data analysis and processing of cabin cloud application through mutual collaboration of cloud, fog and side platforms.
Further, in the central layer of the ship race-room:
the method is characterized in that the method is used for realizing the aims of digital driving and intelligent fusion as a central layer of a ship racing engine room, deeply fusing multi-source data based on the technologies of machine learning, data mining and digital twinning, taking measured mass data as driving, constructing a digital twinning model body of the engine room, fusing an intelligent control system of the engine room, analyzing, evaluating, deciding and executing an engine room system and equipment, locally realizing the intelligent control of the engine room system, namely self-adaption, self-learning, self-optimizing and self-repairing, simultaneously having remote control capability of remote data storage, remote operation and maintenance and remote diagnosis, and providing real-time states of the engine room system, equipment, environment and energy consumption for engine room command personnel through an information visualization system of virtual reality display and video interaction.
Further, in the service layer of the ship race-room disclosed by the invention, the following steps are that:
the system aims at realizing unmanned intervention and less man-made patrol as a service layer of a ship racing engine room, and utilizes an intelligent patrol robot, a main and auxiliary machine automatic start-stop system and a fault automatic processing system, wherein a plurality of robots in the engine room are combined for intelligent detection, test and maintenance, and a main machine automatic start-stop, auxiliary machine one-key switching, load one-key tracking, control one-key protection, test one-key operation and typical fault one-key processing are realized, so that the operation workload of crew in the engine room, value-added and patrol is reduced, and unmanned intervention control and unmanned collaborative patrol of engine room equipment are realized to the maximum extent; the intelligent decision, information BOM management, visual data interaction and management command communication system is used for accurately providing information about the position, quantity, identification, condition and dynamic conveying of the cabin equipment and the personnel to the command personnel in real time, so that the automatic control and command decision of all levels of electromechanical cabin command personnel are ensured; the resource management and control system for intelligent energy consumption management and control and spare part management is adopted, so that the correct configuration, dispatching and utilization of materials are realized, and the equipment purchasing, checking and maintaining and spare part cost is reduced; through the intelligent health management system, electromechanical system equipment performs state evaluation, fault diagnosis and auxiliary decision making, maintenance measures are taken at proper time before the system fails, and daily collaborative training of electromechanical command and operators is guaranteed by utilizing intelligent interactive, analog and self-learning training systems and the like.
The invention has the beneficial effects that: the invention solves the problems of low number intelligence level, low operation and maintenance convenience and the like of the ship cabin through the brand new creation of the ship racing cabin based on number intelligence integration, improves the intelligent and digital intelligent level of the ship electromechanical system, improves the use efficiency of cabin equipment, reduces personnel and efficiency and reduces the cost in the whole life period.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
fig. 1 is a top frame of a marine racing car according to an embodiment of the present invention.
Fig. 2 is a view of a perception layer of a marine racing car according to an embodiment of the present invention.
Fig. 3 is a network layer of a marine game nacelle according to an embodiment of the invention.
Fig. 4 is a central layer of a marine game cabin in an embodiment of the present invention.
Fig. 5 is a view of a ship race-room service layer according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The ship racing cabin based on intelligent integration comprises the following parts:
(1) Top layer frame of ship racing cabin;
the system is characterized in that the system is used for realizing the overall goal of a ship racing cabin by digital driving and intelligent navigation, and a top-layer framework system mainly comprises an equipment layer, a perception layer, a network layer, a central layer, a service layer, an application layer and the like. The intelligent control system comprises a sensing layer formed by advanced technical means such as an intelligent sensor, an Internet of things, an intelligent body, a digital main line and the like, digital information and data in aspects such as power, electric power and damage management system equipment in a cabin, cabin environment, sea conditions and the like are automatically sensed and obtained, safe transmission and storage of full-system test data are realized through a block chain safety network layer, a central layer of a racing cabin is built based on a cabin intelligent control system driven by a massive data and a digital twin model in a mixed mode, local and remote automatic control of the real-boat cabin is achieved, and tasks such as intelligent operation and maintenance, intelligent command, intelligent communication, intelligent training, intelligent health management and the like are utilized, so that the tasks such as the actual-boat crew is guaranteed to perform intelligent operation and management and control, and intelligent companion of a real boat is realized through the digital racing cabin.
(2) A ship racing cabin perception layer;
the method realizes the aim of 'ubiquitous sensing and information bootstrapping' as a sensing layer of the ship racing cabin, constructs the Internet of things of cabin systems and equipment through intelligent sensing equipment such as microwaves, lasers, spectrums, radio frequencies and the like, combines cabin intelligent body sensing systems such as cabin environments, positions, resources and the like, the equipment and equipment in the electromechanical cabin, the people and the people, the people and the equipment, and the cabin and the marine environment are sensed in real time, so that the information interaction, the real-time feedback and the automatic control capability are realized, and the digital main line is utilized to establish a standardized communication protocol, interface and structure, so that the plug-and-play and the information autonomous reporting capability of the intelligent sensing equipment and the system are supported.
(3) A network layer of a ship racing cabin;
the method is characterized in that the network source linkage and transverse and longitudinal defense are achieved as the targets of a network layer of the ship racing engine room, a high-speed basic network source for interconnection and intercommunication of engine room power Internet, electric power Internet, damage management Internet and other data transmission carriers is constructed, the requirement of cross-domain large-flow information interaction linkage is met, a block chain safety network technology is adopted, professional Internet safety isolation operation is transversely formed, encryption information authentication capability of the engine room Internet and a cloud platform is longitudinally formed, safety event early warning is achieved, safety situation is perceived, and information communication is self-healing. And providing heterogeneous fusion calculation with separated distributed storage and calculation and mass data storage, interaction and sharing by using cabin resource centers such as a data center, a super-calculation center, a disaster recovery center and the like. And supporting big data analysis and processing of cabin cloud application through mutual collaboration of cloud, fog and side platforms.
(4) A central layer of a ship racing cabin;
the intelligent control system is used for realizing the intelligent control of 'digital driving, intelligent fusion' as a central layer of a ship racing engine room, deeply fusing multi-source data based on technologies such as machine learning, data mining, digital twin and the like, taking measured mass data as driving, constructing a digital twin model body of the engine room, fusing an intelligent control system of the engine room, analyzing, evaluating, deciding and executing engine room systems and equipment, locally realizing the intelligent control of 'self-adaption, self-learning, self-optimizing, self-repairing' and the like of the engine room system, simultaneously having remote control capabilities such as remote data storage, remote operation test, remote operation maintenance, remote diagnosis and the like, and providing real-time states such as engine room systems, equipment, environment, energy consumption and the like for engine room command personnel through an information visualization system such as virtual reality display, video interaction and the like.
(5) A ship racing cabin service layer;
the system aims at realizing unmanned intervention and less man-made patrol as a service layer of a ship racing engine room, and utilizes an intelligent patrol robot, a main and auxiliary machine automatic start-stop system and a fault automatic processing system, wherein multiple robots in the engine room are combined with intelligent detection, test and maintenance, and main machine automatic start-stop, auxiliary machine one-key switching, load one-key tracking, control one-key protection, test one-key operation and typical fault one-key processing, thereby reducing the operation workload of crews, value-added and patrol in the engine room, and maximally realizing unmanned intervention control and unmanned collaborative patrol of engine room equipment. Through intelligent wisdom decision-making, information BOM management, visual data interaction and management and other command communication systems, information about positions, quantity, identification, conditions, dynamic transportation and the like of cabin equipment, personnel and the like is accurately provided for command personnel in real time, and automatic control and command decision-making of all levels of electromechanical cabin command personnel are ensured. The resource management and control systems such as intelligent energy consumption management and control and spare part management are adopted, so that the correct configuration, dispatching and utilization of materials are realized, and the equipment purchasing, checking and maintaining and spare part cost is reduced. Through the intelligent health management system, electromechanical system equipment performs state evaluation, fault diagnosis and auxiliary decision making, maintenance measures are taken at proper time before the system fails, and daily collaborative training of electromechanical command and operators is guaranteed by utilizing intelligent interactive, analog and self-learning training systems and the like.
The technology can be used for overall integrated design of the ship engine room, solves the problems of low intelligent level of the number of the ship engine room, low convenience in operation and maintenance and the like, improves the intelligent and digital intelligent level of the electromechanical system of the ship, and can be used for mooring sailing test and real ship operation and maintenance guarantee of a real ship power system.
It will be understood that modifications and variations will be apparent to those skilled in the art from the foregoing description, and it is intended that all such modifications and variations be included within the scope of the following claims.
Claims (1)
1. The utility model provides a ship match boating cabin based on digital intelligence fuses which characterized in that, ship match boating cabin's top layer frame system includes from bottom to top sets gradually: the device layer, the perception layer, the network layer, the central layer, the service layer and the application layer; wherein:
the equipment layer is the hardware equipment of the ship and comprises a main turbine, a gas turbine, a power auxiliary machine, a cabin damage pipe system, a main turbine, an oil-water-gas system, a reactor, a diesel engine, a main speed reducer and a slurry shaft system;
a perception layer, comprising: the cabin Internet of things, cabin intelligent bodies and digital main lines; information data for automatically sensing cabin equipment, cabin environment, sea conditions;
a network layer, comprising: cabin internet, cabin resource center, cabin cloud platform, cabin block chain safety network; the secure interactive sharing of the whole system data is realized through a cabin block chain secure network;
a hub layer, comprising: the cabin digital twin body and the cabin intelligent control system; constructing a central layer of the racing car cabin based on the mass data and the cabin digital twin hybrid driving cabin intelligent control system;
a service layer, comprising: intelligent operation and maintenance management, intelligent command management, intelligent channel management, intelligent resource management, intelligent health management and intelligent training management; the system has the local and remote automatic control of the real ship cabin, and realizes the intelligent operation and maintenance function;
an application layer, comprising: intelligent companion, value-added, standby, patrol, maintenance and training; the intelligent operation, control and management of tasks of the actual ship crew for value improvement, aviation preparation, patrol, maintenance and training can be guaranteed, and the intelligent aviation accompanying of the actual ship is realized through the digital racing cabin;
in the perception layer of the ship racing cabin:
the intelligent sensing equipment of microwaves, lasers, spectrums and radio frequencies is used for constructing the Internet of things of cabin systems and equipment, the cabin intelligent body sensing system of cabin environments, positions and resources is combined, real-time ubiquitous sensing is carried out among equipment and equipment, people and people, people and equipment and cabin and marine environments in the electromechanical cabin, realizing information interaction, real-time feedback and automatic control capability, establishing a standardized communication protocol, an interface and a structure by utilizing a digital main line, and supporting the plug-and-play and information autonomous reporting capability of the intelligent sensing equipment and the system;
in the central layer of the ship racing cabin:
based on the technology of machine learning, data mining and digital twin, deeply fusing multi-source data, taking measured mass data as a drive, constructing a cabin digital twin model body, fusing a cabin intelligent control system, analyzing, evaluating, deciding and executing cabin systems and equipment, locally realizing intelligent control of 'self-adaption, self-learning, self-optimizing and self-repairing' of the cabin systems, simultaneously having remote control capabilities of remote data storage, remote test, remote operation and maintenance and remote diagnosis, and providing real-time states of the cabin systems, equipment, environment and energy consumption for cabin pilot control personnel through an information visualization system of virtual reality display and video interaction;
in the network layer of the ship racing cabin:
constructing a high-speed basic network source for interconnection and intercommunication of cabin power Internet, electric power Internet and damage management Internet for data transmission carriers, meeting the requirement of cross-domain large-flow information interaction and linkage, adopting a blockchain safety network technology, transversely forming safety isolation operation of each professional Internet, longitudinally forming encryption information authentication capability of the cabin Internet and a cloud platform, realizing early warning of a safety event, perceiving a safety situation and self-healing information communication; providing heterogeneous fusion calculation with separated distributed computation and mass data storage, interaction and sharing by using cabin resource centers of a data center, a super computation center and a disaster recovery center; supporting big data analysis and processing of cabin cloud application through mutual collaboration of cloud, fog and edge platforms;
in the service layer of the ship racing cabin:
the intelligent inspection robot, the main and auxiliary machine automatic start-stop system and the fault automatic processing system are utilized, and the multi-robot in the cabin is combined with intelligent detection, test and maintenance, as well as main machine automatic start-stop, auxiliary machine one-key switching, load one-key tracking, control one-key protection, test one-key operation and typical fault one-key processing, so that the operation workload of crew in the cabin, value-added and inspection is reduced, and unmanned intervention control and unmanned collaborative inspection of cabin equipment are realized to the maximum extent; the intelligent decision, information BOM management, visual data interaction and management command communication system is used for accurately providing information about the position, quantity, identification, condition and dynamic conveying of the cabin equipment and the personnel to the command personnel in real time, so that the automatic control and command decision of all levels of electromechanical cabin command personnel are ensured; the resource management and control system for intelligent energy consumption management and control and spare part management is adopted, so that the correct configuration, dispatching and utilization of materials are realized, and the equipment purchasing, checking and maintaining and spare part cost is reduced; through the intelligent health management system, electromechanical system equipment performs state evaluation, fault diagnosis and auxiliary decision making, maintenance measures are taken at proper time before the system fails, and the intelligent interactive, simulation and self-learning training system is utilized to ensure daily collaborative training of electromechanical command and operators.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20160060798A (en) * | 2014-11-19 | 2016-05-31 | 한양대학교 산학협력단 | Platform and method for safety navigation and disaster response of iot intelligent ship |
| KR20200040087A (en) * | 2018-10-08 | 2020-04-17 | 대우조선해양 주식회사 | Security system for preventing hacking of communication network in smart ship |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10043311B2 (en) * | 2015-09-16 | 2018-08-07 | The Boeing Company | Immersive design management system |
| CN106873578A (en) * | 2017-04-27 | 2017-06-20 | 南通大学 | Unmanned operation intelligence boat equipment and control system |
| CN110109445B (en) * | 2019-05-24 | 2023-12-01 | 中船数字信息技术有限公司 | Ship engine room auxiliary machine monitoring system and monitoring method |
| CN111768169A (en) * | 2020-06-19 | 2020-10-13 | 中国舰船研究设计中心 | Comprehensive command system for maritime formation of official ships |
| CN112241606A (en) * | 2020-08-03 | 2021-01-19 | 武汉理工大学 | Cooperative decision-making method for operation and maintenance of ship intelligent equipment based on CPS decision-making module |
-
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20160060798A (en) * | 2014-11-19 | 2016-05-31 | 한양대학교 산학협력단 | Platform and method for safety navigation and disaster response of iot intelligent ship |
| KR20200040087A (en) * | 2018-10-08 | 2020-04-17 | 대우조선해양 주식회사 | Security system for preventing hacking of communication network in smart ship |
Non-Patent Citations (1)
| Title |
|---|
| A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems;Jay Lee;Manufacturing Letters;第3卷;18-23 * |
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