Intelligent ship-health analysis system

Abstract

The invention, which relates to the technical field of data acquisition and analysis, discloses an intelligent ship-health analysis system comprising a data acquisition module, a normal work evaluation module, a monitoring module and a data analysis module. The data acquisition module is used for acquiring real-time data information of all related equipment such as a ship body, conduction equipment, cabin equipment and other auxiliary equipment; the normal work evaluation module is used for calculating and evaluating stability indexes of normal work according to historical maintenance records of a ship, historical data of all equipment of the whole ship and other old part replacement and maintenance degrees, and the data acquisition module and the monitoring module are electrically connected with the data analysis module and the normal work evaluation module. And the monitoring module is used for a maintainer to monitor the working condition of the ship by using a monitoring camera. The system has the characteristics of automatic acquisition, real-time monitoring, real-time evaluation, one-key report output, no manual participation in the whole process, intelligence, convenience and high efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of data collection and analysis, and in particular to an intelligent ship-health analysis system. Background Art

[0002] Ship physical examination usually refers to the systematic inspection and evaluation of the safety status and performance of the ship to ensure the safety and stability of the ship during navigation and operation. It is used to ensure that the ship can withstand various potential dangers and emergencies during navigation at sea.

[0003] The existing ship health inspection is often carried out by maintenance personnel to collect data on the current status of the ship through daily observation or by organizing some kind of inspection activities. However, due to the strong subjectivity and the need to check from beginning to end, it is easy to lose sight of the key points. Therefore, it is necessary to design an objective and time-saving intelligent ship health analysis system. Summary of the invention

[0004] The object of the present invention is to provide an intelligent ship-health analysis system to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: an intelligent ship-health analysis system, including a data acquisition module, a normal working evaluation module, a monitoring module and a data analysis module, the data acquisition module is used to collect real-time data information of all relevant equipment such as the ship hull, communication and navigation equipment, engine room equipment, other auxiliary equipment, and the initial stability index of normal working, the normal working evaluation module is used to calculate and evaluate the stability index of normal working according to the historical maintenance records of the ship and the historical data of all equipment on the ship, such as the degree of replacement and maintenance of old parts, the data acquisition module, the monitoring module and the data analysis module are electrically connected to the normal working evaluation module, the monitoring module is used for maintenance personnel to use monitoring cameras to monitor the working condition of the ship, including the appearance structure of the ship hull and the working status changes of each equipment, etc., and the data analysis module is used to collect the data of the above modules to the system server.

[0006] According to the above technical solution, the data acquisition module includes a ship registration module, a work status input module and a database, and the ship registration module is used to enter the specific information of the ship;

[0007] The ship registration module includes a model input module and a rated life input module, the model input module is electrically connected to the rated life input module, the model input module is used to scan and input the model of the ship, the rated life input module is used to retrieve the current remaining rated life of the ship according to the model information of the ship, the working condition input module is electrically connected to the ship registration module, the working condition input module is used for maintenance personnel to input the working conditions in the working links of the ship and input the working duration information of the ship, and the database is used to organize the scanned and retrieved ship information into various data columns for storage;

[0008] The normal working evaluation module includes a normal loss calculation module, an accident statistics module and a stability index derivation module. The normal loss calculation module is used to calculate the change of the normal working stability index of different ships according to their rated life before the work with the working time. The accident statistics module is used to input the normal working stability index increased and decreased in the data acquisition system due to accidental damage, replacement maintenance of old parts and overload operation of the ship. The stability index derivation module is used to count the total stability index of the ship confirmed by the maintenance personnel to be in normal working during the work process;

[0009] The data analysis module includes a load distribution module and an authority granting module, wherein the load distribution module is used to update the workload allocated to the ship after the ship is put into use and works normally in the background of the data acquisition system, and the authority granting module is used to grant work authority according to the stability index of the normal work of the ship after the ship is put into use;

[0010] The normal loss calculation module includes a working time statistics module and a workload calculation module. The working time statistics module is used to time the working time of the ship for a certain workload before work, as well as the duration of overload loss of components during work. The workload calculation module is used to retrieve the workload and stability index information when the ship is entered.

[0011] The working condition input module includes a propulsion system detection module, a fuel system detection module, a lubrication system detection module, a cooling system detection module, and a hydraulic system detection module. The propulsion system detection module uses a pressure sensor to detect the pressure value of the main diesel engine supercharger. The fuel system detection module uses a flow sensor to monitor the fuel system in real time, mainly detecting the flow rate of fuel supply. The lubrication system detection module uses a vibration sensor and a friction sensor to detect the vibration and friction of the transmission shaft transmitting power to determine whether the lubrication is in place. The cooling system detection module uses a temperature sensor to detect the temperature of the coolant to ensure that the cooling system of the engine, supercharger and other equipment can effectively exchange heat and reduce the working temperature. The hydraulic system detection module monitors the flow and pressure of the hydraulic oil through a pressure sensor and a flow sensor to ensure that the ship's hydraulic system always remains within a normal working range during operation;

[0012] The data analysis module also includes an intelligent decision-making engine, a ship knowledge base, a method model library, and a fault repair record module. The intelligent decision-making engine provides real-time maintenance suggestions and fault diagnosis based on the input ship data and historical fault information through algorithm analysis and reasoning. The ship knowledge base stores knowledge and experience related to ship navigation, equipment operation and maintenance, and provides reference and support for fault analysis and problem solving. The method model library brings together different troubleshooting and maintenance method models to help technicians choose the most appropriate treatment plan according to specific fault conditions. The fault repair record module records historical ship faults and their repair processes to facilitate subsequent inquiries and analysis, and support continuous improvement and maintenance decisions.

[0013] According to the above technical solution, the operation steps of the system include:

[0014] Step S1: ship data registration: when the ship in service logs into the data collection system, the stability index of the normal operation of the ship with the working environment conditions on board is collected and registered, and the initial stability index of the normal operation of the ship in service is recorded;

[0015] Step S2: Working time evaluation: record the working time of the ship when it is put into use, and obtain the loss result of normal operation according to the current workload, and update the stability index;

[0016] Step S3: Accident judgment: Count the accidents and maintenance conditions suffered by the ship to determine whether the normal working stability index threshold W0 is reached;

[0017] Step S4: granting of work authority and load distribution: the authority granting module grants the work authority that should be obtained when the ship is put into use, and the load distribution module distributes the workload according to the stability index.

[0018] According to the above technical solution, step S1 further includes the following steps:

[0019] Step S11: Scan and register the model information of the ship, and automatically identify and classify its working life according to the model information, and then enter the initial stability index {q1, q2...q n}, n is the number of ships, the longer the ship's service life, the higher the q n The higher;

[0020] Step S12: Scan and enter the subsequent ships, and automatically register them according to the data of the first ship entry;

[0021] Step S13: the database organizes the registered data and stores them in batches, and simultaneously records the workload and working environment conditions of this work;

[0022] Step S14: Calculate the stored data, match the appropriate working environment conditions, and obtain the initial stability index q of the ship under normal working load when it is put into use. i , i is the ship serial number.

[0023] According to the above technical solution, step S2 further includes the following steps:

[0024] Step S20: Through each detection module, real-time data of the propulsion system, fuel system, lubrication system, cooling system, and hydraulic system are collected, and sensors such as pressure sensors, flow sensors, temperature sensors, and vibration sensors are used to continuously monitor the working status of each system and record relevant parameters; the intelligent decision engine analyzes the collected ship data and infers possible problems based on historical fault information. Based on the analysis results, the intelligent decision engine generates real-time maintenance suggestions and fault diagnosis results, retrieves relevant knowledge and experience from the ship knowledge base, supports fault analysis and problem solving, selects applicable maintenance methods from the method model library, and records the faults and their repair processes in the fault repair record module to facilitate subsequent inquiries and support continuous improvement;

[0025] Step S21: obtaining the initial stability index A of the ship operating normally under this workload stored in the database;

[0026] Step S22: Count the stability index h with the duration of normal working. The longer the duration t of normal working, the smaller h is. α is the working duration parameter;

[0027] Step S23: Calculate the working loss e of the component under overload operation and calculate the cumulative stability index M.

[0028] According to the above technical solution, step S23 further includes:

[0029] Step S231: Calculate and obtain the stability index of the normal operation of the ship under the current component overload loss. β is the conversion coefficient between overload work and initial stability index, T is the overload work time;

[0030] Step S232: Calculate and obtain the stability index M of the normal operation of the ship after the cumulative operation.

[0031] According to the above technical solution, the calculation formula of the stability index M of the cumulative normal operation of the ship under the overload loss of the component in step S232 is:

[0032] M=h+e.

[0033] According to the above technical solution, step S3 specifically includes:

[0034] Step S34: adding the normal working stability index y of the ship put into use this time due to the accidental damage;

[0035] Step S35: Finally, the stability index W of the normal operation of the ship after the ship is put into use and the old parts are replaced and maintained is calculated and evaluated. i , when W i >W0 can work normally;

[0036] Step S36: Steps S21-S23 are performed on different ships to analyze and evaluate the normal working stability index of the ship in service under the condition of component overload loss;

[0037] The calculation formula of the stability index y of normal operation that is additionally reduced due to overload operation is:

[0038] y=p%*j

[0039] Where, j is the number of accidental damages, and p% is the average reduction in the stability index of all ships in normal operation caused by each accidental damage;

[0040] The stability index W of the normal operation of the ship put into use under the continuous improvement of the experience learned in the above step S25 i The calculation formula is:

[0041] W i =M-y+γN, where N is the number of old equipment replaced, γ is the weight of each replacement of old equipment on the increase in equipment life, and the high stability index W i The ship is given more workload, and the low stability index W iThe ships are given less workload.

[0042] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention, by combining the service life of the ship itself, the working time and the time of overload work, the number of replacement and maintenance of old parts of the ship at any time and the number of accidental damages, counts the service life of the ship to determine whether the ship can continue to work and give an appropriate workload, effectively avoiding catastrophic accidents caused by excessive use of the ship. The system has the ability to learn autonomously. Through the ship knowledge base, the manual maintenance guide of each equipment, the ship maintenance knowledge base, the ship structure guide, and the work experience summary of nearly a thousand first-line chief engineers, it calculates and retrieves data for each independent device and module, and analyzes and obtains the health analysis report of all equipment on the ship and the health analysis report of the whole ship. The present invention has the characteristics of automatic collection, real-time monitoring, real-time evaluation, and one-click report generation. No human participation is required throughout the process, and it has the characteristics of intelligence, convenience, and efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0044] Figure 1 It is a schematic diagram of the process of the present invention;

[0045] Figure 2 It is a schematic diagram of the overall module structure of the present invention. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] See also Figure 1 and Figure 2The present invention provides a technical solution: an intelligent ship-health analysis system, including a data acquisition module, a normal working evaluation module, a monitoring module and a data analysis module. The data acquisition module is used to collect real-time data information of all relevant equipment such as the ship hull, communication and navigation equipment, engine room equipment, other auxiliary equipment, and the initial stability index of normal working. The normal working evaluation module is used to calculate and evaluate the stability index of normal working according to the historical maintenance records of the ship and the historical data of all equipment on the ship, such as the degree of replacement and maintenance of old parts. The data acquisition module and the monitoring module are all electrically connected to the data analysis module and the normal working evaluation module. The monitoring module is used for maintenance personnel to use monitoring cameras to monitor the working conditions of the ship, including the appearance structure of the ship hull and the working status changes of each equipment, etc. The data analysis module is used to collect the data of the above modules to the system server;

[0048] The data collection module includes a ship registration module, a work status input module and a database. The ship registration module is used to input specific information of the ship;

[0049] The ship registration module includes a model input module and a rated life input module. The model input module is electrically connected to the rated life input module. The model input module is used to scan and input the model of the ship. The rated life input module is used to retrieve the current remaining rated life of the ship according to the model information of the ship. The working condition input module is electrically connected to the ship registration module. The working condition input module is used for maintenance personnel to input the working conditions of the working links of the ship and input the working duration information of the ship. The database is used to organize the scanned and retrieved ship information into various data columns for storage;

[0050] The normal working evaluation module includes a normal loss calculation module, an accident statistics module and a stability index derivation module. The normal loss calculation module is used to calculate the change of the normal working stability index of different ships according to their rated life before the work with the working time. The accident statistics module is used to input the increase and decrease of the normal working stability index in the data acquisition system due to accidental damage, replacement and maintenance of old parts and overload operation of the ship. The stability index derivation module is used to count the total stability index of the ship confirmed by the maintenance personnel to be in normal working during the work process;

[0051] The data analysis module includes a load distribution module and an authority granting module. The load distribution module is used to update the workload allocated to the ship after the ship is put into use and works normally in the background of the data acquisition system. The authority granting module is used to grant work authority according to the stability index of the normal work of the ship after the ship is put into use;

[0052] The normal loss calculation module includes a working time statistics module and a workload calculation module. The working time statistics module is used to time the working time of the ship for a certain workload before work, as well as the duration of overload loss of components during work. The workload calculation module is used to retrieve the workload and stability index information when the ship is entered;

[0053] The working condition input module includes a propulsion system detection module, a fuel system detection module, a lubrication system detection module, a cooling system detection module, and a hydraulic system detection module. The propulsion system detection module uses a pressure sensor to detect the pressure value of the main diesel engine supercharger. The fuel system detection module uses a flow sensor to monitor the fuel system in real time, mainly detecting the flow of fuel supply. The lubrication system detection module uses a vibration sensor and a friction sensor to detect the vibration and friction of the transmission shaft to transmit power to determine whether the lubrication is in place. The cooling system detection module uses a temperature sensor to detect the temperature of the coolant to ensure that the cooling system of the engine, supercharger and other equipment can effectively exchange heat and reduce the working temperature. The hydraulic system detection module monitors the flow and pressure of the hydraulic oil through a pressure sensor and a flow sensor to ensure that the ship's hydraulic system always remains within the normal working range during operation;

[0054] The data analysis module also includes an intelligent decision engine, a ship knowledge base, a method model library, and a fault repair record module. The intelligent decision engine provides real-time maintenance suggestions and fault diagnosis based on the input ship data and historical fault information through algorithm analysis and reasoning. The ship knowledge base stores knowledge and experience related to ship navigation, equipment operation and maintenance, providing reference and support for fault analysis and problem solving. The method model library brings together different troubleshooting and maintenance method models to help technicians choose the most appropriate treatment plan based on specific fault conditions. The fault repair record module records historical ship faults and their repair process, which is convenient for subsequent query and analysis, and supports continuous improvement and maintenance decision-making.

[0055] The system operation steps include:

[0056] Step S1: ship data registration: when the ship in service logs into the data collection system, the stability index of the normal operation of the ship with the working environment conditions on board is collected and registered, and the initial stability index of the normal operation of the ship in service is recorded;

[0057] Step S2: Working time evaluation: record the working time of the ship when it is put into use, and obtain the loss result of normal operation according to the current workload, and update the stability index;

[0058] Step S3: Accident judgment: Count the accidents and maintenance conditions suffered by the ship to determine whether the normal working stability index threshold W0 is reached;

[0059] Step S4: granting of work authority and load distribution: the authority granting module grants the work authority that should be obtained when the ship is put into use, and the load distribution module distributes the workload according to the stability index;

[0060] Step S1 further comprises the following steps:

[0061] Step S11: Scan and register the model information of the ship, and automatically identify and classify its working life according to the model information, and then enter the initial stability index {q1, q2...q n}, n is the number of ships, the longer the ship's service life, the higher the q n The higher;

[0062] Step S12: Scan and enter the subsequent ships, and automatically register them according to the data of the first ship entry;

[0063] Step S13: the database organizes the registered data and stores them in batches, and simultaneously records the workload and working environment conditions of this work;

[0064] Step S14: Calculate the stored data, match the appropriate working environment conditions, and obtain the initial stability index q of the ship under normal working load when it is put into use. i , i is the ship serial number;

[0065] Step S2 further comprises the following steps:

[0066] Step S20: Through each detection module, real-time data of the propulsion system, fuel system, lubrication system, cooling system, and hydraulic system are collected, and sensors such as pressure sensors, flow sensors, temperature sensors, and vibration sensors are used to continuously monitor the working status of each system and record relevant parameters; the intelligent decision engine analyzes the collected ship data, and infers possible problems based on historical fault information. According to the analysis results, the intelligent decision engine generates real-time maintenance suggestions and fault diagnosis results, retrieves relevant knowledge and experience from the ship knowledge base, supports fault analysis and problem solving, selects applicable maintenance methods in the method model library, and records the fault and its repair process in the fault repair record module to facilitate subsequent inquiries and support continuous improvement; through the above steps, the ship physical examination system can effectively monitor and analyze the working status of the ship in real time, thereby providing an accurate basis for maintenance decisions.

[0067] Step S21: obtaining the initial stability index A of the ship operating normally under this workload stored in the database;

[0068] Step S22: Count the stability index h with the duration of normal working. The longer the duration t of normal working, the smaller h is. α is the working duration parameter;

[0069] Step S23: Calculate the working loss e of the component under overload operation and calculate the cumulative stability index M;

[0070] Step S23 further comprises:

[0071] Step S231: Calculate and obtain the stability index of the normal operation of the ship under the current component overload loss. β is the conversion coefficient between overload work and initial stability index, T is the overload work time;

[0072] Step S232: Calculate and obtain the stability index M of the normal operation of the ship after the cumulative operation;

[0073] The calculation formula of the stability index M of the cumulative normal operation of the ship under the component overload loss in step S232 is:

[0074] M = h + e;

[0075] Step S3 specifically includes:

[0076] Step S34: adding the normal working stability index y of the ship put into use this time due to the accidental damage;

[0077] Step S35: Finally, the stability index W of the normal operation of the ship after the ship is put into use and the old parts are replaced and maintained is calculated and evaluated. i , when W i >W0 can work normally;

[0078] Step S36: Steps S21-S23 are performed on different ships to analyze and evaluate the normal working stability index of the ship in service under the condition of component overload loss;

[0079] The calculation formula of the stability index y of normal operation that is additionally reduced due to overload operation is:

[0080] y=p%*j

[0081] Where, j is the number of accidental damages, and p% is the average reduction in the stability index of all ships in normal operation caused by each accidental damage;

[0082] The stability index W of the normal operation of the ship put into use under the continuous improvement of the experience learned in the above step S35 i The calculation formula is:

[0083] W i =M-y+γN, where N is the number of old equipment replaced, γ is the weight of each replacement of old equipment on the increase in equipment life, and the high stability index W i The ship is given more workload, and the low stability index W i The ships are given less workload.

[0084] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0085] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. Intelligent ship-health analysis system, characterized by: It includes a data acquisition module, a normal working evaluation module, a monitoring module and a data analysis module. The data acquisition module is used to collect real-time data information of all relevant equipment such as the ship's hull, communication and navigation equipment, engine room equipment, other auxiliary equipment, and the initial stability index of normal working. The normal working evaluation module is used to calculate and evaluate the stability index of normal working according to the historical maintenance records of the ship and the historical data of all equipment on the ship, such as the degree of replacement and maintenance of old parts. The data acquisition module and the monitoring module are electrically connected to the data analysis module and the normal working evaluation module. The monitoring module is used for maintenance personnel to use monitoring cameras to monitor the working status of the ship, including the appearance structure of the ship's hull and the changes in the working status of each equipment. The data analysis module is used to collect the data of the above modules to the system server.

2. The intelligent ship-health analysis system according to claim 1, characterized in that: The data acquisition module includes a ship registration module, a work status input module and a database, and the ship registration module is used to input specific information of the ship; The ship registration module includes a model input module and a rated life input module, the model input module is electrically connected to the rated life input module, the model input module is used to scan and input the model of the ship, the rated life input module is used to retrieve the current remaining rated life of the ship according to the model information of the ship, the working condition input module is electrically connected to the ship registration module, the working condition input module is used for maintenance personnel to input the working conditions in the working links of the ship and input the working duration information of the ship, and the database is used to organize the scanned and retrieved ship information into various data columns for storage; The normal working evaluation module includes a normal loss calculation module, an accident statistics module and a stability index derivation module. The normal loss calculation module is used to calculate the change of the normal working stability index of different ships according to their rated life before the work with the working time. The accident statistics module is used to input the normal working stability index increased and decreased in the data acquisition system due to accidental damage, replacement maintenance of old parts and overload operation of the ship. The stability index derivation module is used to count the total stability index of the ship confirmed by the maintenance personnel to be in normal working during the work process; The data analysis module includes a load distribution module and an authority granting module, wherein the load distribution module is used to update the workload allocated to the ship after the ship is put into use and works normally in the background of the data acquisition system, and the authority granting module is used to grant work authority according to the stability index of the normal work of the ship after the ship is put into use; The normal loss calculation module includes a working time statistics module and a workload calculation module. The working time statistics module is used to time the working time of the ship for a certain workload before work, and the duration of overload loss of components during work. The workload calculation module is used to retrieve the workload and stability index information when the ship is entered; The working condition input module includes a propulsion system detection module, a fuel system detection module, a lubrication system detection module, a cooling system detection module, and a hydraulic system detection module. The propulsion system detection module uses a pressure sensor to detect the pressure value of the main diesel engine supercharger. The fuel system detection module uses a flow sensor to monitor the fuel system in real time, mainly detecting the flow rate of fuel supply. The lubrication system detection module uses a vibration sensor and a friction sensor to detect the vibration and friction of the transmission shaft transmitting power to determine whether the lubrication is in place. The cooling system detection module uses a temperature sensor to detect the temperature of the coolant to ensure that the cooling system of the engine, supercharger and other equipment can effectively exchange heat and reduce the working temperature. The hydraulic system detection module monitors the flow and pressure of the hydraulic oil through a pressure sensor and a flow sensor to ensure that the ship's hydraulic system always remains within a normal working range during operation; The data analysis module also includes an intelligent decision-making engine, a ship knowledge base, a method model library, and a fault repair record module. The intelligent decision-making engine provides real-time maintenance suggestions and fault diagnosis based on the input ship data and historical fault information through algorithm analysis and reasoning. The ship knowledge base stores knowledge and experience related to ship navigation, equipment operation and maintenance, and provides reference and support for fault analysis and problem solving. The method model library brings together different troubleshooting and maintenance method models to help technicians choose the most appropriate treatment plan according to specific fault conditions. The fault repair record module records historical ship faults and their repair processes to facilitate subsequent inquiries and analysis, and support continuous improvement and maintenance decisions.

3. The intelligent ship-health analysis system according to claim 2, characterized in that: The system operation steps include: Step S1: ship data registration: when the ship in service logs into the data collection system, the stability index of the normal operation of the ship with the working environment conditions on board is collected and registered, and the initial stability index of the normal operation of the ship in service is recorded; Step S2: Working time evaluation: record the working time of the ship when it is put into use, and obtain the loss result of normal operation according to the current workload, and update the stability index; Step S3: Accident judgment: Count the accidents and maintenance conditions suffered by the ship to determine whether the normal working stability index threshold W0 is reached; Step S4: granting of work authority and load distribution: the authority granting module grants the work authority that should be obtained when the ship is put into use, and the load distribution module distributes the workload according to the stability index.

4. The intelligent ship-health analysis system according to claim 3, characterized in that: The step S1 further comprises the following steps: Step S11: Scan and register the model information of the ship, and automatically identify and classify its working life according to the model information, and then enter the initial stability index {11, q2...q n }, n is the number of ships, the longer the ship's service life, the higher the q n The higher; Step S12: Scan and enter the subsequent ships, and automatically register them according to the data of the first ship entry; Step S13: the database organizes the registered data and stores them in batches, and simultaneously records the workload and working environment conditions of this work; Step S14: Calculate the stored data, match the appropriate working environment conditions, and obtain the initial stability index q of the ship under normal working load when it is put into use. i , i is the ship serial number.

5. The intelligent ship-health analysis system according to claim 4, characterized in that: The step S2 further comprises the following steps: Step S20: Through each detection module, real-time data of the propulsion system, fuel system, lubrication system, cooling system, and hydraulic system are collected, and sensors such as pressure sensors, flow sensors, temperature sensors, and vibration sensors are used to continuously monitor the working status of each system and record relevant parameters; the intelligent decision engine analyzes the collected ship data and infers possible problems based on historical fault information. Based on the analysis results, the intelligent decision engine generates real-time maintenance suggestions and fault diagnosis results, retrieves relevant knowledge and experience from the ship knowledge base, supports fault analysis and problem solving, selects applicable maintenance methods from the method model library, and records the faults and their repair processes in the fault repair record module to facilitate subsequent inquiries and support continuous improvement; Step S21: obtaining the initial stability index A of the ship operating normally under this workload stored in the database; Step S22: Count the stability index h with the duration of normal working. The longer the duration t of normal working, the smaller h is. α is the working duration parameter; Step S23: Calculate the working loss e of the component under overload operation and calculate the cumulative stability index M.

6. The intelligent ship-health analysis system according to claim 5, characterized in that: The step S23 further comprises: Step S231: Calculate and obtain the stability index of the normal operation of the ship under the current component overload loss. β is the conversion coefficient between overload work and initial stability index, T is the overload work time; Step S232: Calculate and obtain the stability index M of the normal operation of the ship after the cumulative operation.

7. The intelligent ship-health analysis system according to claim 6, characterized in that: The calculation formula of the stability index M of the cumulative normal operation of the ship under the component overload loss in step S232 is: M=h+e.

8. The intelligent ship-health analysis system according to claim 7, characterized in that: The step S3 specifically includes: Step S34: adding the normal working stability index y of the ship put into use this time due to the accidental damage; Step S35: Finally, the stability index W of the normal operation of the ship after the ship is put into use and the old parts are replaced and maintained is calculated and evaluated. i , when W i >W0 can work normally; Step S36: Steps S21-S23 are performed on different ships to analyze and evaluate the normal working stability index of the ship in service under the condition of component overload loss; The calculation formula of the stability index y of normal operation that is additionally reduced due to overload operation is: y=p%*j Where, j is the number of accidental damages, and p% is the average reduction in the stability index of all ships in normal operation caused by each accidental damage; The stability index W of the normal operation of the ship put into use under the continuous improvement of the experience learned in the above step S35 i The calculation formula is: W i =M-y+γN, where N is the number of old equipment replaced, γ is the weight of each replacement of old equipment on the increase in equipment life, and the high stability index W i The ship is given more workload, and the low stability index W i The ships are given less workload.

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