CN114648212A - Cloud computing-based ship equipment performance intelligent management system and method - Google Patents
Cloud computing-based ship equipment performance intelligent management system and method Download PDFInfo
- Publication number
- CN114648212A CN114648212A CN202210230886.3A CN202210230886A CN114648212A CN 114648212 A CN114648212 A CN 114648212A CN 202210230886 A CN202210230886 A CN 202210230886A CN 114648212 A CN114648212 A CN 114648212A
- Authority
- CN
- China
- Prior art keywords
- ship
- equipment
- data
- data center
- key
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
- G01M99/008—Subject matter not provided for in other groups of this subclass by doing functionality tests
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Databases & Information Systems (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention belongs to the technical field of intelligent ship management, and particularly provides an intelligent ship equipment performance management system and method based on cloud computing. Establishing a reference model of key parameters by acquiring and analyzing the key parameters of the key equipment of the ship; and the optimization model is automatically learned through actual monitoring data. Whether the equipment runs abnormally or whether the equipment faults are analyzed is intelligently identified by comparing the variation trend of the key parameters. The comprehensive monitoring of the running state of the key equipment of the ship is realized, and the running state and the health condition of each equipment are analyzed and evaluated; and the fault trend of the equipment is predicted, the auxiliary decision information is pushed, and scientific management basis is provided for the use, operation, overhaul, management and the like of the equipment.
Description
Technical Field
The invention relates to the technical field of intelligent ship management, in particular to an intelligent ship equipment performance management system and method based on cloud computing.
Background
With the development of edge computing, big data, network technology and artificial intelligence technology, the intelligent ship technology is rapidly developed and widely applied in the shipping field by the characteristics of high intelligence and automation level and the like. The intelligent operation and maintenance system for the conventional ship equipment generally only comprises a ship overall operation state monitoring and alarming system, and the functions of the intelligent operation and maintenance system are limited to ship operation environment and conventional monitoring and recording functions of the ship equipment. During the navigation of the ship, due to the fact that the working environment is severe, the implementation working conditions are complex and changeable, the parts of the ship equipment are inevitably degraded in different degrees, faults in different degrees are caused, and a plurality of key equipment cannot be overhauled in the navigation state. Therefore, an intelligent ship equipment state monitoring and management system based on cloud computing is urgently needed to be established, and real-time monitoring, rapid analysis, trend prediction and auxiliary decision making of the equipment state are achieved. The management requirements of high efficiency, energy conservation and high reliability of the ship are met.
Disclosure of Invention
The invention aims at the technical problem that ship equipment in the prior art cannot be overhauled in the sailing state.
The invention provides a cloud computing-based intelligent management system for ship equipment performance, which comprises: a data acquisition unit;
the data acquisition unit is arranged on the ship and used for acquiring the data of the operation parameters of the ship equipment;
the system comprises a ship, a shore data center and a ship terminal data center, wherein the ship terminal data center is arranged on a ship and used for displaying the running state of ship equipment, analyzing the acquired data in real time, evaluating the health condition of the ship key equipment, predicting faults and pushing auxiliary decision information for operators to judge;
the shore-end data center is arranged in the cloud server and used for receiving data from the ship-end data center and displaying the running state of the ship equipment; and analyzing and evaluating the health condition of the key equipment of the ship in real time according to the monitoring data, predicting the fault, and pushing auxiliary decision information for operators to judge.
Preferably, the signals acquired by the data acquisition unit are divided into internal signals and external signals, wherein the internal signals are the existing signals of the original system of the ship equipment and are introduced into the data acquisition unit through a relay dry contact or an isolation module;
the external signals are signals which are not available in an original system of the key equipment of the ship and are acquired by additionally arranging a sensor.
Preferably, the ship-side data center and/or the shore-side data center includes a management interface for displaying the operation state of each ship key device, monitoring a curve, inquiring the operation condition of each ship key device in different time periods, setting an alarm, displaying the operation time, calibrating and exporting data.
Preferably, the signal acquisition unit is arranged beside each key device of the cabin;
the ship-side data center is installed in an engine room centralized control room, and after authorization, relevant information is automatically sent to the shore-side data center in an electronic mail/report mode through a ship local area network and a captain computer network.
Preferably, the signals acquired by the data acquisition unit include: ship fuel oil, lubricating oil, cooling water and diesel engine exhaust temperature; and
and pressure data of engine oil, fuel oil, cooling water and gas of the main engine and the auxiliary engine.
Preferably, the marine equipment comprises a host, a generator, a supercharger, a steering engine, a boiler, an air compressor, an anchor machine and a motor.
The invention also provides an intelligent management method for the performance of the ship equipment, which is used for realizing the intelligent management system for the performance of the ship equipment and comprises the following steps:
s1, acquiring the operation parameters of the ship equipment;
s2, displaying the running state of the ship equipment through a ship-side data center arranged on the ship, analyzing the acquired data in real time, evaluating the health condition of the key equipment of the ship, predicting faults, and pushing auxiliary decision information for operators to judge; or
Receiving data from a ship-side data center through a bank-side data center arranged in a cloud server, and displaying the running state of ship equipment; and analyzing and evaluating the health condition of the key equipment of the ship in real time according to the monitoring data, predicting the fault, and pushing auxiliary decision information for operators to judge.
The invention also provides an electronic device which comprises a memory and a processor, wherein the processor is used for realizing the steps of the intelligent management method for the performance of the ship equipment based on the cloud computing when executing the computer management program stored in the memory.
The invention also provides a computer readable storage medium, on which a computer management program is stored, wherein the computer management program realizes the steps of the intelligent management method for the performance of the ship equipment based on the cloud computing when being executed by a processor.
Compared with the prior art, the invention has the beneficial effects that:
(1) the EcoGuard intelligent performance management system mainly collects various real-time parameters of the operation of each key device of the ship, realizes the comprehensive monitoring of the health degree of the key devices of the ship, and can analyze and evaluate the operation state and the health condition of the devices based on state data obtained by real-time monitoring and a reference model established by means of big data and cloud computing; and pushing auxiliary decision information according to the analysis and evaluation results, and providing scientific and reasonable knowledge for decisions of the aspects of management, use, maintenance, repair and the like of the key equipment of the ship.
(2) The system is provided with three modules, namely a data acquisition unit, a ship-side data center and a shore-side data center, the data acquisition system is used for acquiring, processing, storing and transmitting the running state data of the ship key equipment in real time, the data acquisition system is used for transmitting the running pressure, temperature, vibration, rotating speed, flow and other data of the ship key equipment to the ship-side data center, and the ship-side data center is used for carrying out data interaction with the shore-side data center through the Ethernet.
(3) The system can carry out intelligent performance management on each key device of the ship, such as a host, a generator, a supercharger, a steering engine, a boiler, an air compressor, an anchor machine, each motor and the like. The operation parameters of the corresponding equipment are connected to the data acquisition unit.
(4) The EcoGuard intelligent performance management system comprises functions of real-time monitoring, fault trend prediction, decision information pushing assistance, analysis report analysis and the like, and a monitoring interface comprises a real-time monitoring interface, a data playback interface and the like; the analysis interface comprises a historical data query interface, a trend analysis interface and the like; the management interface comprises interfaces such as analysis reports and system setting.
(5) According to the system, a user can install a single machine on one ship for use according to the actual condition of the ship, can also be connected with a shore end server for networking use through a network, and can also configure the system on a plurality of ships simultaneously, so that a fleet is managed uniformly through the shore end server.
(6) In the scheme of the invention, the data acquisition unit has the function of edge calculation, and can solve the problem of poor data processing and analyzing capability caused by too much data of the traditional monitoring system.
(7) According to the invention, machine learning algorithm models are introduced into both the ship-side data center and the shore-side data center, so that the accuracy of data analysis is improved.
Drawings
Fig. 1 is a functional schematic diagram of an intelligent management system for ship equipment performance based on cloud computing according to the present invention;
FIG. 2 is a schematic diagram of a hardware structure of a possible electronic device provided in the present invention;
fig. 3 is a schematic diagram of a hardware structure of a possible computer-readable storage medium provided in the present invention.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
As shown in fig. 1, the cloud computing based intelligent management system for ship equipment performance provided by the present invention is referred to as EcoGuard intelligent management system. The method comprises the following steps: a data acquisition unit;
the data acquisition unit is arranged on the ship and used for acquiring the data of the operation parameters of the ship equipment;
the system comprises a ship, a shore data center and a ship terminal data center, wherein the ship terminal data center is arranged on a ship and used for displaying the running state of ship equipment, analyzing the acquired data in real time, evaluating the health condition of the ship key equipment, predicting faults and pushing auxiliary decision information for operators to judge;
the shore-end data center is arranged in the cloud server and used for receiving data from the ship-end data center and displaying the running state of the ship equipment; and analyzing and evaluating the health condition of the key equipment of the ship in real time according to the monitoring data, predicting the fault, and pushing auxiliary decision information for operators to judge.
Establishing a reference model of key parameters by carrying out data acquisition and analysis on the key parameters of the ship key equipment; and the optimization model is automatically learned through actual monitoring data. Whether the equipment runs abnormally or whether the equipment faults are analyzed is intelligently identified by comparing the variation trend of the key parameters. The comprehensive monitoring of the running state of the key equipment of the ship is realized, and the running state and the health condition of each equipment are analyzed and evaluated; and the fault trend of the equipment is predicted, the auxiliary decision information is pushed, and scientific management basis is provided for the use, operation, overhaul, management and the like of the equipment.
Specifically, the data acquisition unit acquires data of ship equipment, wherein the DAU1 and the DAU2 … … DAU8 are respectively and correspondingly responsible for acquiring operating parameters of a ship host, a generator, a supercharger, a steering engine, a boiler, an air compressor, an anchor machine and each motor, and the DAUn acquires data of other key equipment. The data acquisition unit also has the capacity of local storage and edge calculation. The data acquisition unit processes the acquired data and transmits the processed data to the ship-side data center through the router.
In the preferable scheme, the ship-side data center is installed in an engine room centralized control room and consists of a data acquisition unit and a man-machine interaction touch screen computer. The data acquisition unit acquires the main engine operation key parameters such as main engine rotating speed, main engine load, scavenging pressure and the like through a relay or a signal isolation module. Signals acquired by all the data acquisition units are preprocessed and then transmitted to the human-computer interaction touch screen computer through the router in a unified mode. The human-computer interaction touch screen computer receives the data collected by all the data collecting units and processes, calculates and analyzes all the data at the same time. The operator can identify the alarm on the man-machine interaction interface and set the related parameters. The system makes an assessment based on the analysis results. After authorization, the HMI (human machine interface) automatically sends relevant information to the shore-side data center in the form of e-mail/report through the ship local area network and the captain computer network.
Specifically, as shown in fig. 1, the ship-side data center is composed of a data acquisition unit DAU1 and a human-computer interaction touch screen computer HMI, the DAU1 is responsible for acquiring relevant operation parameters of a host, the human-computer interaction touch screen computer HMI is responsible for receiving data transmitted by all data acquisition units DAU, and a reference model of key parameters is established through data analysis, so that whether equipment operates abnormally or equipment faults are analyzed intelligently by comparing the variation trend of the key parameters, and a cloud computer independently learns an optimization model through actual monitoring data after networking, and provides a basis for equipment fault trend prediction and auxiliary decision information pushing.
Specifically, the shore-side data center is arranged in a cloud server, and fusion of data, information and knowledge is realized through the rapid data processing capacity of a cloud computing platform, so that intelligent state assessment of the ship equipment is realized, and functional parameters or state parameters of the main performance of the ship equipment are reflected in time.
In particular, the shore-side data center is located in the cloud server, and the user does not need to install additional hardware. The ship end only needs to enter a data center of a login bank end of a specified website through an account number and a password. The shore-side data center can receive data from the ship-side data center SDC and display the running state of each key device of the ship. The shore-side data center updates an algorithm in real time according to the support big data and the cloud computing and according to the monitoring data, adjusts a judgment rule, better analyzes and evaluates the health condition of each key device of the ship, predicts the fault of the key device, pushes auxiliary decision information and helps a shore-side device manager to better make a management, use, maintenance and repair plan of the device.
The invention can rapidly manage data, reduce the pressure of the traditional method on data processing and improve the efficiency.
In one particular implementation scenario:
the EcoGuard performance intelligent management system has three modes: a stand-alone mode, a networked mode, a fleet mode.
The stand-alone mode only comprises a data acquisition unit and a ship-side data center, and can be independently arranged on a ship without the support of a network. The EcoGuard performance intelligent monitoring system in the single-machine mode has the functions of single-ship real-time monitoring, fault trend prediction and auxiliary decision making. The system can comprehensively monitor the running state of each key device of the ship in real time, can generate a performance curve and a trend graph through modeling according to monitoring data and initial test data of the device when leaving a factory to predict the health condition of the key device of the ship, and can push related auxiliary decision information.
In the networking mode, on the basis of a single-machine mode, a shore-end data center is arranged at the cloud end, and the cloud end server can continuously optimize data modeling by relying on big data and cloud computing, better predict the health condition of equipment and push more scientific and reasonable auxiliary decision information.
The fleet mode needs to arrange an EcoGuard performance intelligent management system on a plurality of ships simultaneously, and arrange a shore-end data center in a cloud unified manner. By means of big data and cloud computing, the cloud server can continuously optimize data modeling, better predict the health condition of the equipment and push more scientific and reasonable aid decision information. The cloud server can be used for carrying out intelligent management on key equipment of ships of the whole fleet at the same time.
The types of signals collected by the data collection unit are as follows: 4-20mA, RS-485, RS-422 and switching value signals.
Through communication such as satellite, the data transmission of ship end data center and bank end data center can be carried out to equipment, receives the data that comes from the boats and ships through the high in the clouds server, including data such as boats and ships fuel, lubricating oil, cooling water, diesel engine exhaust temperature, the pressure data of various machine oil, fuel, cooling water, gas of main and auxiliary engine to store data in the database of cloud service network ware, supply analysis in next step to use. Meanwhile, the shore-side data center sends the analyzed ship equipment state information and the trained algorithm model for equipment performance management to the ship-side data center in a communication mode to form a ship-shore integrated communication mechanism.
Fig. 2 is a schematic diagram of an embodiment of an electronic device according to an embodiment of the invention. As shown in fig. 2, an embodiment of the present invention provides an electronic device, which includes a memory 1310, a processor 1320, and a computer program 1311 stored in the memory 1310 and executable on the processor 1320, where the processor 1320 executes the computer program 1311 to implement the following steps:
s1, acquiring the operation parameters of the ship equipment;
s2, displaying the running state of the ship equipment through a ship-side data center arranged on the ship, analyzing the acquired data in real time, evaluating the health condition of the key equipment of the ship, predicting faults, and pushing auxiliary decision information for operators to judge; or
Receiving data from a ship-side data center through a bank-side data center arranged in a cloud server, and displaying the running state of ship equipment; and the health condition of the key equipment of the ship is analyzed and evaluated in real time according to the monitoring data, the fault is predicted, and auxiliary decision information is pushed to be judged by an operator.
Please refer to fig. 3, which is a schematic diagram of an embodiment of a computer-readable storage medium according to the present invention. As shown in fig. 3, the present embodiment provides a computer-readable storage medium 1400, on which a computer program 1411 is stored, which computer program 1411, when executed by a processor, implements the steps of:
s1, acquiring the operation parameters of the ship equipment;
s2, displaying the running state of the ship equipment through a ship-side data center arranged on the ship, analyzing the acquired data in real time, evaluating the health condition of the key equipment of the ship, predicting faults, and pushing auxiliary decision information for operators to judge; or
Receiving data from a ship-side data center through a bank-side data center arranged in a cloud server, and displaying the running state of ship equipment; and the health condition of the key equipment of the ship is analyzed and evaluated in real time according to the monitoring data, the fault is predicted, and auxiliary decision information is pushed to be judged by an operator.
Compared with the prior art, the invention has the beneficial effects that:
(1) the EcoGuard performance intelligent management system mainly collects various real-time parameters of the operation of each key device of the ship, realizes the comprehensive monitoring of the health degree of the key devices of the ship, and simultaneously can analyze and evaluate the operation state and the health condition of the devices based on state data obtained by real-time monitoring and a reference model established by big data and cloud computing; and pushing auxiliary decision information according to the analysis and evaluation results, and providing scientific and reasonable knowledge for decisions of the aspects of management, use, maintenance, repair and the like of the key equipment of the ship.
(2) The ship-end data center is provided with three modules, namely a data acquisition unit, a ship-end data center and a shore-end data center, a data acquisition system is used for acquiring, processing, storing and transmitting the running state data of the ship key equipment in real time, the data acquisition system is used for transmitting the running pressure, temperature, vibration, rotating speed, flow and other data of the ship key equipment to the ship-end data center, and the ship-end data center is used for carrying out data interaction with the shore-end data center through the Ethernet.
(3) The system can intelligently manage the performance of each key device of the ship, such as a host, a generator, a supercharger, a steering engine, a boiler, an air compressor, an anchor machine, each motor and the like. The operation parameters of the corresponding equipment are connected to the data acquisition unit.
(4) The EcoGuard intelligent performance management system comprises functions of real-time monitoring, fault trend prediction, decision-making assisting information pushing, analysis report and the like, and a monitoring interface comprises a real-time monitoring interface, a data playback interface and the like; the analysis interface comprises a historical data query interface, a trend analysis interface and the like; the management interface comprises interfaces such as analysis reports, system settings and the like.
(5) According to the system, a user can install a single machine on one ship for use according to the actual condition of the ship, can also be connected with a shore end server for networking use through a network, and can also configure the system on a plurality of ships simultaneously, so that a fleet is managed uniformly through the shore end server.
(6) In the scheme of the invention, the data acquisition unit has the function of edge calculation, and can solve the problem of poor data processing and analyzing capability caused by too much data of the traditional monitoring system.
(7) According to the invention, machine learning algorithm models are introduced into both the ship-side data center and the shore-side data center, so that the accuracy of data analysis is improved.
It should be noted that, in the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to relevant descriptions of other embodiments for parts that are not described in detail in a certain embodiment.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. A ship equipment performance intelligent management system based on cloud computing is characterized by comprising: a data acquisition unit;
the data acquisition unit is arranged on the ship and used for acquiring the data of the operation parameters of the ship equipment;
the system comprises a ship, a shore data center and a ship terminal data center, wherein the ship terminal data center is arranged on a ship and used for displaying the running state of ship equipment, analyzing the acquired data in real time, evaluating the health condition of the ship key equipment, predicting faults and pushing auxiliary decision information for operators to judge;
the shore-end data center is arranged in the cloud server and used for receiving data from the ship-end data center and displaying the running state of the ship equipment; and analyzing and evaluating the health condition of the key equipment of the ship in real time according to the monitoring data, predicting the fault, and pushing auxiliary decision information for operators to judge.
2. The cloud-computing-based intelligent management system for ship equipment performance is characterized in that signals acquired by the data acquisition unit are divided into internal signals and external signals, wherein the internal signals are signals existing in an original system of ship equipment and are introduced into the data acquisition unit through a relay dry contact or an isolation module;
the external signals are signals which are not available in an original system of the key equipment of the ship and are acquired by additionally arranging a sensor.
3. The cloud-computing-based intelligent management system for ship equipment performance according to claim 1, wherein the ship-side data center and/or the shore-side data center comprises a management interface for displaying an operation state of each ship key equipment, monitoring a curve, inquiring an operation condition of each ship key equipment in different time periods, setting an alarm, displaying an operation time, calibrating and exporting data.
4. The intelligent cloud computing-based ship equipment performance management system according to claim 1, wherein the signal acquisition unit is installed beside each key equipment in the cabin;
the ship-side data center is installed in an engine room centralized control room, and after authorization, relevant information is automatically sent to the shore-side data center in an electronic mail/report mode through a ship local area network and a captain computer network.
5. The cloud computing-based intelligent management system for ship equipment performance according to claim 1, wherein the signals collected by the data collection unit include: ship fuel oil, lubricating oil, cooling water and diesel engine exhaust temperature; and
and pressure data of engine oil, fuel oil, cooling water and gas of the main engine and the auxiliary engine.
6. The cloud computing-based intelligent management system for ship equipment performance according to claim 1, wherein the ship equipment comprises a host, a generator, a supercharger, a steering engine, a boiler, an air compressor, an anchor machine and a motor.
7. An intelligent management method for ship equipment performance, which is used for realizing the intelligent management system for the ship equipment performance according to any one of claims 1-6, and comprises the following steps:
s1, acquiring the operation parameters of the ship equipment;
s2, displaying the running state of the ship equipment through a ship-side data center arranged on the ship, analyzing the acquired data in real time, evaluating the health condition of the key equipment of the ship, predicting faults, and pushing auxiliary decision information for operators to judge; or
Receiving data from a ship-side data center through a bank-side data center arranged in a cloud server, and displaying the running state of ship equipment; and analyzing and evaluating the health condition of the key equipment of the ship in real time according to the monitoring data, predicting the fault, and pushing auxiliary decision information for operators to judge.
8. An electronic device, comprising a memory, and a processor, wherein the processor is configured to implement the steps of the intelligent management method for cloud computing-based ship device performance according to claim 7 when executing a computer management-like program stored in the memory.
9. A computer-readable storage medium, having stored thereon a computer management-like program, which when executed by a processor, performs the steps of the intelligent cloud computing-based ship equipment performance management method of claim 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210230886.3A CN114648212A (en) | 2022-03-10 | 2022-03-10 | Cloud computing-based ship equipment performance intelligent management system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210230886.3A CN114648212A (en) | 2022-03-10 | 2022-03-10 | Cloud computing-based ship equipment performance intelligent management system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114648212A true CN114648212A (en) | 2022-06-21 |
Family
ID=81993254
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210230886.3A Pending CN114648212A (en) | 2022-03-10 | 2022-03-10 | Cloud computing-based ship equipment performance intelligent management system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114648212A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115860687A (en) * | 2022-12-26 | 2023-03-28 | 南通润邦海洋工程装备有限公司 | Wind power integrated management and control system and method based on big data |
| CN116362673A (en) * | 2023-03-01 | 2023-06-30 | 中国船舶集团有限公司第七一九研究所 | Ship equipment management method and system based on cloud computing |
-
2022
- 2022-03-10 CN CN202210230886.3A patent/CN114648212A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115860687A (en) * | 2022-12-26 | 2023-03-28 | 南通润邦海洋工程装备有限公司 | Wind power integrated management and control system and method based on big data |
| CN115860687B (en) * | 2022-12-26 | 2024-02-02 | 南通润邦海洋工程装备有限公司 | Big data-based wind power integrated management and control system and method |
| CN116362673A (en) * | 2023-03-01 | 2023-06-30 | 中国船舶集团有限公司第七一九研究所 | Ship equipment management method and system based on cloud computing |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113077172A (en) | Equipment state trend analysis and fault diagnosis method | |
| CN114648212A (en) | Cloud computing-based ship equipment performance intelligent management system and method | |
| RU2313815C2 (en) | Device and method for controlling technical plant, which contains a set of systems, in particular, electric power plant | |
| CN112926257A (en) | Reciprocating natural gas compressor fault diagnosis system and diagnosis method | |
| CN112594142A (en) | Terminal cloud collaborative wind power operation and maintenance diagnosis system based on 5G | |
| CN114911206A (en) | Intelligent prediction maintenance system of coal preparation plant based on Internet of things | |
| CN111098463A (en) | Injection molding machine fault diagnosis system and diagnosis method | |
| CN113847950A (en) | Intelligent ship equipment state monitoring system based on cloud computing and information interaction method | |
| CN113157679A (en) | Monitoring system and method of hydraulic generator set system | |
| CN112738266A (en) | Data acquisition and transmission equipment system and predictive diagnosis and edge calculation method | |
| CN113887749A (en) | Cloud edge cooperation-based multi-dimensional monitoring and disposal method, device and platform for power internet of things | |
| CN117032120A (en) | Integrated intelligent cloud control system and control method for air compression station | |
| TW202305824A (en) | Prognostic and health management system for system management and method thereof | |
| CN112906775A (en) | Equipment fault prediction method and system | |
| CN115809731A (en) | Wind generating set fault analysis system, method and medium | |
| CN115586009A (en) | Fault diagnosis and health management system and method | |
| CN117759608A (en) | method and system for monitoring hydraulic fault of submersible vehicle | |
| CN115774847B (en) | Diesel engine performance evaluation and prediction method and system | |
| CN110647070A (en) | Power environment monitoring system for super-large-scale data center | |
| CN116149270A (en) | Wind power station early warning processing process tracking method and system | |
| CN111539642B (en) | Object-oriented power plant data acquisition and processing system and method thereof | |
| CN113847232A (en) | Air compressor cluster operation adjusting method and system based on cloud edge cooperation | |
| CN108229850B (en) | Urban energy consumption and environmental protection data management method and system based on industrial production network | |
| Dorokhov et al. | The use of digital intelligent technologies in predicting failures of automotive and tractor equipment | |
| CN116382175A (en) | Intelligent management system for ship equipment based on cloud computing platform |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |