Intelligent ship comprehensive monitoring and safeguard system and method

Abstract

The invention provides an intelligent ship comprehensive monitoring and safeguard system and method, and the method comprises a data collection module which is used for collecting the operation data of all kinds of equipment on a ship; the equipment control module is used for setting control interfaces on the cab workstation and the cabin control room workstation to carry out centralized remote control on various types of equipment; the data storage module is used for storing operation data and maintenance data of various types of equipment; the equipment fault diagnosis module is used for acquiring equipment operation data, evaluating the health state of the equipment through a correlation analysis method and a deep learning model, and predicting possible faults of the equipment; the equipment maintenance module is used for generating an equipment maintenance plan and regularly generating a monthly maintenance plan and an annual maintenance plan of the whole ship; and the mobile terminal management module is used for distributing a maintenance plan and responding to a mobile terminal user request according to the mobile terminal user permission. Through the scheme, the ship management control efficiency can be improved, and the maintenance cost can be reduced.

Description

Technical Field

[0001] This invention belongs to the field of computer information technology, and in particular relates to an intelligent ship integrated monitoring and support system and method. Background Technology

[0002] Due to differences in equipment suppliers and system design units, the design and development of ship systems often result in independent and relatively simple functions for each subsystem. For example, the operating data of each subsystem is stored independently, and the control system usually needs to access and view it in multiple ways. The maintenance of the entire ship requires regular manual checks and reminders to the relevant maintenance personnel. This approach leads to low efficiency in the overall management and control of ship systems and high maintenance costs. Summary of the Invention

[0003] In view of this, embodiments of the present invention provide an intelligent ship integrated monitoring and support system and method to solve the problems of low efficiency and high maintenance costs in the current integrated management and control of ship systems.

[0004] In a first aspect of the present invention, an intelligent ship integrated monitoring and support system is provided, comprising: The data acquisition module is used to collect real-time operating data of various equipment on the ship; The equipment control module is used to centrally and remotely control various types of equipment by setting up control interfaces on the driver's cab workstation and the engine room control room workstation, respectively, based on equipment operation data. The data storage module is used to store various equipment operation data, as well as the ship's maintenance plan, equipment spare parts list, and equipment fault repair manual. The equipment fault diagnosis module is used to acquire equipment operating data, assess the health status of the equipment through correlation analysis and deep learning models, and predict possible equipment faults. The equipment maintenance module is used to generate equipment maintenance plans based on the health status assessment results and predicted failure types of each piece of equipment, and to generate monthly and annual maintenance plans for the entire ship on a regular basis according to the ship's life cycle and usage requirements. The mobile management module is used to distribute equipment maintenance plans, monthly maintenance plans, or annual maintenance plans to mobile maintenance personnel based on the mobile user's identity, and to respond to mobile user requests based on the mobile user's permissions.

[0005] In a second aspect of the present invention, a method for integrated monitoring and protection of intelligent ships is provided, comprising: Real-time collection of operational data from various equipment on board the ship; Based on equipment operation data, control interfaces are set up on the driver's cab workstation and the engine room control room workstation respectively to centrally and remotely control various types of equipment; Stores various equipment operation data, as well as the ship's overall maintenance plan, equipment spare parts list, and equipment fault repair manual; Acquire equipment operation data, and use correlation analysis and deep learning models to assess the health status of the equipment and predict potential equipment failures; Based on the health status assessment results and predicted failure types of each piece of equipment, equipment maintenance plans are generated, and monthly and annual maintenance plans for the entire ship are generated periodically based on the ship's life cycle and usage requirements. Based on the mobile user's identity, distribute equipment maintenance plans, monthly maintenance plans, or annual maintenance plans to mobile maintenance personnel, and respond to mobile user requests based on the mobile user's permissions.

[0006] In a third aspect of the present invention, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable by the processor, wherein the processor executes the computer program to implement the steps of the method as described in the second aspect of the present invention.

[0007] In a fourth aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the method provided in the second aspect of the present invention.

[0008] In this embodiment of the invention, by integrating ship equipment monitoring and maintenance management, and fault diagnosis, not only can the efficiency of ship management and control be improved, and comprehensive monitoring and efficient management of ship equipment be achieved, but maintenance costs can also be reduced to a certain extent, maintenance efficiency can be improved and the reliability of ship operation can be guaranteed. At the same time, interaction with mobile terminals can be achieved, improving the convenience of management. Attached Figure Description

[0009] To more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0010] Figure 1 This is a schematic diagram of the structure of an intelligent ship integrated monitoring and support system according to an embodiment of the present invention; Figure 2 This is a flowchart illustrating an intelligent ship integrated monitoring and support method according to an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of an electronic device provided in one embodiment of the present invention. Detailed Implementation

[0011] To make the objectives, features, and advantages of this invention more apparent and understandable, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0012] It should be understood that the terms "comprising" and other similar expressions in the specification, claims, and accompanying drawings of this invention are intended to cover a non-exclusive inclusion, such as a process, method, system, or apparatus that includes a series of steps or units and is not limited to the listed steps or units. Furthermore, "first" and "second" are used to distinguish different objects and are not intended to describe a specific order.

[0013] Please see Figure 1 The present invention provides a schematic diagram of the structure of an intelligent ship integrated monitoring and support system, comprising: Data acquisition module 110 is used to collect real-time operating data of various equipment on the ship; The data acquisition module collects real-time operating data of various equipment on the ship, such as main engine, generator, propulsion motor, air conditioning system, fire protection system, liquid level sensor, etc. The operating data of these devices includes, but is not limited to, the operating parameters of various sensors, measuring instruments and equipment.

[0014] The equipment control module 120 is used to centrally and remotely control various types of equipment by setting up control interfaces on the driver's cab workstation and the engine room control room workstation, respectively, based on equipment operation data. Control interfaces are installed on the bridge workstation and engine room control room workstation to enable centralized remote control of ship equipment, such as fans, pumps, air conditioners, and lights. Each workstation can control these systems at any given time, ensuring operational safety, such as controlling engine power and air conditioning temperature. The bridge workstation and engine room control room workstation have different control priorities.

[0015] Data storage module 130 is used to store various equipment operation data, as well as the ship's maintenance plan, equipment spare parts list and equipment fault repair manual; The ship's overall maintenance plan may include maintenance content, maintenance methods, and the quantity and model of required parts; the equipment spare parts list may include the spare models and quantities of equipment, as well as the quantity and models of spare spare parts; the equipment fault repair manual may include the equipment name, model, repair method, tools, and cause of the fault.

[0016] The data storage module can be used to store the operating data of various devices, as well as maintenance and repair information such as the ship's overall maintenance plan, spare parts list, and common equipment fault repair manuals. Data can be stored on the ship's data server, which supports access from various control terminals on board, mobile devices, and shore-based terminals, and can provide a ship-shore integrated management data interface.

[0017] The equipment fault diagnosis module 140 is used to acquire equipment operating data, assess the health status of the equipment through correlation analysis and deep learning models, and predict possible equipment faults. Correlation analysis can be used to extract operational data related to the equipment's operating status, as well as operational data of related equipment. This operational data can be input into a deep learning model to predict the equipment's health status and possible fault types.

[0018] Specifically, the Pearman correlation analysis method is used to filter operational data related to the status of the target equipment, and the operational data of related equipment are also filtered. The target device's operating data and the operating data of related devices, which are monitored in real time after being filtered, are input into the CNN-LSTM model. The target device's status is evaluated and the type of fault is predicted based on the CNN-LSTM model.

[0019] The equipment maintenance module 150 is used to generate equipment maintenance plans based on the health status assessment results and predicted failure types of each piece of equipment, and to generate monthly and annual maintenance plans for the entire ship on a regular basis according to the ship's life cycle and usage requirements. Based on the health status assessment results and predicted failure types of each piece of equipment, maintenance plans can be generated for the corresponding equipment; based on the planned life cycle and usage requirements of the ship, monthly and annual maintenance plans for the entire ship can also be automatically generated.

[0020] The planned equipment maintenance schedules, monthly maintenance plans, and annual maintenance plans can be sent to maintenance personnel, who can then view the plans on their mobile devices or the ship's control terminal. By monitoring the operating time of major equipment and combining this with equipment maintenance requirements, the system automatically records actual equipment operating data and reminds the crew to perform relevant maintenance work when it is due.

[0021] The equipment maintenance plan, the monthly maintenance plan, and the annual maintenance plan all include maintenance content, required parts models, lubricant models, parts quantities, tools, and maintenance methods.

[0022] The mobile management module 160 is used to distribute equipment maintenance plans, monthly maintenance plans or annual maintenance plans to mobile maintenance personnel based on the mobile user's identity, and to respond to mobile user requests based on the mobile user's permissions.

[0023] The mobile client can establish a connection with the shipboard system. Based on the mobile client user's identity, the system distributes equipment maintenance plans, monthly maintenance plans, or annual maintenance plans to the mobile client maintenance personnel, and receives and responds to mobile client user requests according to the mobile client user's permissions.

[0024] The mobile terminal supports smartphones, tablets, and connection to the ship's WIFI network. Users can log in to the system server through apps to view data and manage business, such as viewing maintenance and support plans and repair data next to the equipment, managing inventory, and taking photos to record ship inspections. It also supports setting different personnel identities and permissions, such as managing permissions for the captain, crew, and maintenance personnel.

[0025] Optionally, the shipboard equipment work plan is driven by equipment operation data and supports functions such as receiving work reports and assigning work tasks. The data is also securely transmitted to the shore office or command and control center through the shipboard data server, enabling fleet management from the shore.

[0026] In this embodiment, by integrating equipment operation monitoring and equipment maintenance management, not only can the efficiency of ship management and control be improved and comprehensive monitoring of ship equipment be achieved, but maintenance costs can also be reduced to a certain extent, maintenance efficiency can be improved, and the reliable operation of the ship can be guaranteed.

[0027] In some embodiments, the device control module 120 further includes: The data display and early warning module is used to centrally display the operating data of each device on the monitors of the cockpit workstation and the engine room control room workstation, and to provide early warning prompts to the corresponding devices on the monitors when there are abnormalities in the operating data of the devices.

[0028] The collected equipment operation data is centrally displayed on the monitors of the driver's cab workstation and the engine room control room workstation, and alarm prompts are issued for abnormal data, so as to facilitate timely alerts to the relevant operation and management personnel.

[0029] In some embodiments, the data storage module 130 further includes: The spare parts management module is used to create a spare parts list, respond to spare parts inventory query requests, record the addition or reduction of spare parts, receive procurement suggestions from mobile maintenance personnel, and generate procurement prompts.

[0030] Establish a spare parts list, support spare parts inventory query, and support records of additions or reductions of spare parts, and receive corresponding procurement suggestions.

[0031] In some embodiments, the device fault diagnosis module 140 includes: The equipment fault analysis module is used to analyze the equipment fault type, fault location, and fault content based on the detected equipment alarm information, and display it on the workstation screen in the driver's cab and the workstation screen in the engine room control room. It also sends the equipment fault type, fault location, fault content, and equipment maintenance information to the corresponding maintenance personnel's mobile terminal.

[0032] For fault information that has generated an alarm, the fault type, fault location, and fault content can be obtained by parsing the alarm information. At the same time, technical documents such as the ship's equipment maintenance manual can be automatically sent to maintenance personnel, reducing the time for maintenance personnel to locate faults and search for maintenance documents.

[0033] In some embodiments, the mobile terminal management module 150 further includes: The ship-shore data interaction module is used to establish data communication between the ship and the shore based on the ship's onboard data server, and supports tiered access to ship data by shore users with different permissions.

[0034] Data interaction between the ship and shore is achieved through a shipboard data server and an independent Ethernet network (such as 4G, 5G, satellite communication, etc.), supporting access to shipboard system data from different shore terminals.

[0035] In this embodiment, based on data interaction between the ship and the shore, the port can effectively manage ships and monitor their status.

[0036] Figure 2 This is a flowchart illustrating an intelligent ship integrated monitoring and support method provided in an embodiment of the present invention. The process includes: S201. Real-time collection of operational data from various equipment on board the ship; S202. Based on equipment operation data, control interfaces are set up on the driver's cab workstation and the engine room control room workstation respectively to centrally and remotely control various types of equipment. S203. Store various equipment operation data, as well as the ship's maintenance plan, equipment spare parts list, and equipment fault repair manual; S204. Obtain equipment operation data, assess the health status of the equipment through correlation analysis and deep learning models, and predict possible equipment failures. Among them, the operation data related to the status of the target equipment was screened by using the Pierman correlation analysis method, and the operation data of related equipment was also screened. The target device's operating data and the operating data of related devices, which are monitored in real time after being filtered, are input into the CNN-LSTM model. The target device's status is evaluated and the type of fault is predicted based on the CNN-LSTM model.

[0037] S205. Based on the health status assessment results and predicted failure types of each piece of equipment, generate equipment maintenance plans, and based on the life cycle and usage requirements of the ship, regularly generate monthly and annual maintenance plans for the entire ship. The equipment maintenance plan, the monthly maintenance plan, and the annual maintenance plan all include maintenance content, required parts models, lubricant models, parts quantities, tools, and maintenance methods.

[0038] S206. Based on the mobile user's identity, distribute equipment maintenance plans, monthly maintenance plans, or annual maintenance plans to the mobile maintenance personnel, and respond to mobile user requests based on the mobile user's permissions.

[0039] Optionally, the operating data of each device can be centrally displayed on the monitors of the cockpit workstation and the engine room control room workstation, and when there are abnormalities in the operating data of the device, the corresponding device can be given an early warning on the monitor.

[0040] Optionally, after establishing a spare parts list, it can respond to spare parts inventory query requests, record the addition or reduction of spare parts, receive procurement suggestions from mobile maintenance personnel, and generate procurement prompts.

[0041] In some embodiments, when an alarm message is detected, the fault type, fault location, and fault content are parsed from the alarm message and displayed on the workstation screen in the driver's cab and the workstation screen in the engine room control room. The fault type, fault location, fault content, and equipment maintenance information are then sent to the corresponding maintenance personnel's mobile device.

[0042] Optionally, based on the shipboard data server, data communication between the ship and the shore can be established to enable shore users with different permissions to access shipboard data in a tiered manner.

[0043] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0044] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working process of the system and modules described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0045] Figure 3This is a schematic diagram of an electronic device according to an embodiment of the present invention. The electronic device is used for ship monitoring and maintenance, etc. Figure 3 As shown, the electronic device 3 of this embodiment includes: a memory 310, a processor 320, and a system bus 330. The memory 310 includes an executable program 3101 stored thereon. As those skilled in the art will understand, Figure 3 The electronic device structure shown does not constitute a limitation on the electronic device and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0046] The following is combined Figure 3 A detailed introduction to each component of the electronic device: The memory 310 can be used to store software programs and modules. The processor 320 executes various functional applications and data processing of the electronic device by running the software programs and modules stored in the memory 310. The memory 310 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, application programs required for at least one function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the electronic device (such as cached data), etc. In addition, the memory 310 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0047] The memory 310 contains an executable program 3101 with a network request method. This executable program 3101 can be divided into one or more modules / units, which are stored in the memory 310 and executed by the processor 320 to achieve ship equipment monitoring and maintenance management, etc. The one or more modules / units can be a series of computer program instruction segments capable of performing specific functions, describing the execution process of the computer program 3101 in the electronic device 3. For example, the computer program 3101 can be divided into functional modules such as a data acquisition module, an equipment control module, a data storage module, an equipment fault diagnosis module, an equipment maintenance module, and a mobile terminal management module.

[0048] The processor 320 is the control center of the electronic device. It connects various parts of the electronic device via various interfaces and lines. By running or executing software programs and / or modules stored in the memory 310, and by calling data stored in the memory 310, it performs various functions and processes data, thereby monitoring the overall status of the electronic device. Optionally, the processor 320 may include one or more processing units; preferably, the processor 320 may integrate an application processor and a modem processor, wherein the application processor mainly handles the operating system, application programs, etc., and the modem processor mainly handles wireless communication. It is understood that the modem processor may also not be integrated into the processor 320.

[0049] The system bus 330 is used to connect various functional components within the computer, transmitting data, address, and control information. Its type can be, for example, a PCI bus, an ISA bus, or a CAN bus. Instructions from the processor 320 are transmitted to the memory 310 via the bus, and the memory 310 sends data back to the processor 320. The system bus 330 is responsible for data and instruction exchange between the processor 320 and the memory 310. Of course, the system bus 330 can also connect to other devices, such as network interfaces and display devices.

[0050] In this embodiment of the invention, the executable program executed by the processor 320 included in the electronic device includes: Real-time collection of operational data from various equipment on board the ship; Based on equipment operation data, control interfaces are set up on the driver's cab workstation and the engine room control room workstation respectively to centrally and remotely control various types of equipment; Stores various equipment operation data, as well as the ship's overall maintenance plan, equipment spare parts list, and equipment fault repair manual; Acquire equipment operation data, and use correlation analysis and deep learning models to assess the health status of the equipment and predict potential equipment failures; Based on the health status assessment results and predicted failure types of each piece of equipment, equipment maintenance plans are generated, and monthly and annual maintenance plans for the entire ship are generated periodically based on the ship's life cycle and usage requirements. Based on the mobile user's identity, distribute equipment maintenance plans, monthly maintenance plans, or annual maintenance plans to mobile maintenance personnel, and respond to mobile user requests based on the mobile user's permissions.

[0051] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and modules described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0052] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0053] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent ship integrated monitoring and support system, characterized in that, include: The data acquisition module is used to collect real-time operating data of various equipment on the ship; The equipment control module is used to centrally and remotely control various types of equipment by setting up control interfaces on the driver's cab workstation and the engine room control room workstation, respectively, based on equipment operation data. The data storage module is used to store various equipment operation data, as well as the ship's maintenance plan, equipment spare parts list, and equipment fault repair manual. The equipment fault diagnosis module is used to acquire equipment operating data, assess the health status of the equipment through correlation analysis and deep learning models, and predict possible equipment faults. The equipment maintenance module is used to generate equipment maintenance plans based on the health status assessment results and predicted failure types of each piece of equipment, and to generate monthly and annual maintenance plans for the entire ship on a regular basis according to the ship's life cycle and usage requirements. The mobile management module is used to distribute equipment maintenance plans, monthly maintenance plans, or annual maintenance plans to mobile maintenance personnel based on the mobile user's identity, and to respond to mobile user requests based on the mobile user's permissions.

2. The system according to claim 1, characterized in that, The device control module also includes: The data display and early warning module is used to centrally display the operating data of each device on the monitors of the cockpit workstation and the engine room control room workstation, and to provide early warning prompts to the corresponding devices on the monitors when there are abnormalities in the operating data of the devices.

3. The system according to claim 1, characterized in that, The data storage module further includes: The spare parts management module is used to create a spare parts list, respond to spare parts inventory query requests, record the addition or reduction of spare parts, receive procurement suggestions from mobile maintenance personnel, and generate procurement prompts.

4. The system according to claim 1, characterized in that, The method of assessing equipment health status and predicting potential equipment failures through correlation analysis and deep learning models includes: The Pearman correlation analysis method was used to filter operational data related to the status of the target equipment, and the operational data of related equipment were also filtered. The target device's operating data and the operating data of related devices, which are monitored in real time after being filtered, are input into the CNN-LSTM model. The target device's status is evaluated and the type of fault is predicted based on the CNN-LSTM model.

5. The system according to claim 1, characterized in that, The equipment maintenance plan, the monthly maintenance plan, and the annual maintenance plan all include maintenance content, required parts models, lubricant models, parts quantities, tools, and maintenance methods.

6. The system according to claim 1, characterized in that, The equipment fault diagnosis module includes: The equipment fault analysis module is used to analyze the equipment fault type, fault location, and fault content based on the detected equipment alarm information, and display it on the workstation screen in the driver's cab and the workstation screen in the engine room control room. It also sends the equipment fault type, fault location, fault content, and equipment maintenance information to the corresponding maintenance personnel's mobile terminal.

7. The system according to claim 1, characterized in that, The mobile terminal management module also includes: The ship-shore data interaction module is used to establish data communication between the ship and the shore based on the ship's onboard data server, and supports tiered access to ship data by shore users with different permissions.

8. A method for integrated monitoring and support of intelligent ships, characterized in that, include: Real-time collection of operational data from various equipment on board the ship; Based on equipment operation data, control interfaces are set up on the driver's cab workstation and the engine room control room workstation respectively to centrally and remotely control various types of equipment; Stores various equipment operation data, as well as the ship's overall maintenance plan, equipment spare parts list, and equipment fault repair manual; Acquire equipment operation data, and use correlation analysis and deep learning models to assess the health status of the equipment and predict potential equipment failures; Based on the health status assessment results and predicted failure types of each piece of equipment, equipment maintenance plans are generated, and monthly and annual maintenance plans for the entire ship are generated periodically based on the ship's life cycle and usage requirements. Based on the mobile user's identity, distribute equipment maintenance plans, monthly maintenance plans, or annual maintenance plans to mobile maintenance personnel, and respond to mobile user requests based on the mobile user's permissions.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the intelligent ship integrated monitoring and support method as described in claim 8.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed, it implements the steps of the intelligent ship integrated monitoring and support method as described in claim 8.

Images