Inflatable life raft maintenance and detection AI intelligent management platform

Abstract

The invention relates to the field of life raft intelligent maintenance, and discloses an inflatable life raft maintenance detection AI intelligent management platform, which comprises a data center and a raft station AI operation terminal, and is characterized in that the data center is used for storing and managing maintenance detection data of inflatable life rafts, and comprises a raft factory data center and a raft station data center; the raft station AI operation terminal comprises a multifunctional combined cabinet, a fixed information acquisition device and a multifunctional display. According to the inflatable life raft maintenance and detection AI intelligent management platform, the AR window glasses and the handheld AI terminal are utilized to perform visual information acquisition and recording, and the AI system is utilized to analyze and identify maintenance items, so that the traditional mode of checking equipment through human eyes and manual paper maintenance recording is replaced, and the maintenance efficiency is improved. And the standard operation process of the inflatable life raft maintenance and detection is standardized, so that each function test of the inflatable life raft is intelligent, and the reliability of the life raft is greatly improved.

Description

Technical Field

[0001] The present invention relates to the field of computer vision, and in particular to an AI intelligent management platform for the inspection and detection of inflatable life rafts. Background Art

[0002] The development background of inflatable life rafts is closely related to the safety of human life at sea. With the increase of marine transportation and water activities, maritime accidents are frequent, and an effective life-saving equipment is urgently needed. With the development of material technology, inflatable life rafts have gradually become mainstream. Inflatable life rafts are usually used for emergency rescue in water activities and sea voyages. In case of emergency, this kind of life raft can be quickly inflated and provide a safe shelter to protect the occupants from bad weather and waves. Inflatable life rafts are key equipment for emergency rescue on water, and their reliability and safety are of vital importance. Given that life rafts can directly affect life safety at critical moments, it is of utmost importance to be able to promptly discover potential problems and ensure the normal use of life rafts during regular maintenance and testing.

[0003] Inspection and testing of inflatable life rafts refers to a comprehensive inspection, maintenance and testing process for life rafts to ensure that they can be used effectively in emergency situations. This process usually includes the evaluation and maintenance of the overall structure, inflation system, buoyancy materials and auxiliary equipment of the life raft to ensure that they meet safety standards;

[0004] In the inspection and testing of inflatable life rafts, the traditional method mainly relies on manual inspection, including appearance inspection, inflation performance test and necessary maintenance and replacement work. However, this method has many limitations. First, manual inspection is often limited by the experience and skill level of the inspectors, and it is difficult to ensure the accuracy and comprehensiveness of the inspection. Secondly, the manual inspection process is cumbersome and time-consuming, which reduces the inspection efficiency and has the risk of wrong inspection and missed inspection. In addition, with the increase in the number of life raft models and the complexity of the use environment, the traditional inspection method of manual identification and free judgment can hardly meet the growing maintenance needs, and the efficiency is relatively low, and there is room for improvement. Summary of the invention

[0005] 1. Technical issues to be solved

[0006] In view of the deficiencies in the prior art, the present invention provides an AI intelligent management platform for maintenance and detection of inflatable life rafts to solve the above problems.

[0007] (II) Technical solution

[0008] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an AI intelligent management platform for the maintenance and detection of an inflatable life raft, comprising a data center and an AI operation terminal at a raft station, wherein the data center is used to store and manage the maintenance and detection data of the inflatable life raft, and a database is formed through the maintenance data, including various maintenance problems, and the database facilitates maintenance personnel to solve corresponding problems, and the data center includes a raft factory data center and a raft station data center;

[0009] The raft station AI operation terminal is used to realize intelligent maintenance and detection of the inflatable life raft, and the raft station AI operation terminal includes a multifunctional combined cabinet, a fixed information collection device and a multifunctional display.

[0010] Preferably, the data center stores the life raft manufacturer information, the location information of the life raft maintenance station, the raft station qualification information of the life raft maintenance station and various standard values ​​required for raft inspection;

[0011] The raft station data center stores raft station positioning information, raft station qualification information and various standard values ​​required for raft inspection. The raft station data center only stores relevant information of the current raft station.

[0012] Preferably, the multifunctional combined cabinet includes a display, a copier, a scanner, a printer, a database, a face recognition acquisition probe, a fingerprint identity verification, a voice command interaction and an electronic fence, and the multifunctional combined cabinet can issue a detection and repair report on site;

[0013] The fixed information collection device collects information and records raft detection data intuitively through a camera;

[0014] The multifunctional display is used to display the maintenance progress, test results and early warning information in real time, which is convenient for supervision and guidance.

[0015] Preferably, the fixed information collection device is a handheld AI terminal, which automatically identifies the maintenance data of the life raft through a high-definition camera and image processing technology, determines the defects of the life raft, and intelligently records the inspection data. The handheld AI terminal has a built-in voice command module, which triggers the corresponding program by recognizing voice commands.

[0016] Preferably, the fixed information collection device is AR window glasses, which automatically identify the appearance defects of the life raft through a high-definition camera and image processing technology, and intelligently record the raft inspection data. The AR window glasses have a built-in voice command module, which triggers the corresponding program by recognizing voice commands. Different from handheld AI terminals, AR window glasses are worn on the head, which makes it more convenient for raft inspection personnel to perform various raft inspection tasks.

[0017] Preferably, the life raft manufacturer information includes the "standard font size" of the raft factory, the model of the life raft, the corresponding test data of the buoyancy tube of each model of the life raft, the opening and closing data of the safety valve, the inflation test data, the pressure value of the platform check valve test, the pressure data of the additional pressure test, each model of raft, the production date and various tests of the whole life cycle, the storage height of each model of raft and the corresponding cable length, the starting length of the rope cylinder, the cylinder value of each model of raft, the cylinder volume, the weight and filling amount of carbon dioxide, the nitrogen filling amount, the alcohol filling amount, the weight of the lower valve body, the water pressure cycle of the cylinder of each model of raft, the life cycle of various types of spare parts with validity period and the quantity that the corresponding raft should be equipped with, the appearance, characteristics, index and information collection of various spare parts and outfitting parts;

[0018] The various standard values ​​required for the raft inspection include a dry and wet temperature gauge, a buoyancy tire pressure test gauge, a hydrostatic pressure test gauge, a cylinder weighing scale, and a hanging weighing scale. The quantity statistics and weight conversion of fresh water and rations are performed by AI, that is, the quantity of each type of life raft is determined by weighing according to the number of people; that is, a weight of 10*0.5kg*3=15kg is deemed to meet the fresh water equipment requirements of the raft, and weighing and inflation are both achieved through the Internet of Things.

[0019] Preferably, the platform has built-in image recognition algorithms, specifically including:

[0020] High-precision image recognition algorithm: This algorithm uses deep learning technology and is trained with a large amount of image data from life raft maintenance scenes. It can accurately identify appearance defects of life rafts, including wear, cracks, deformation, and key logos and labels on life rafts.

[0021] Algorithm adaptive optimization mechanism: The platform has the ability to adaptively optimize the algorithm, and can automatically adjust and optimize the parameters and model structure of the image recognition algorithm based on newly collected maintenance data and user feedback to improve recognition accuracy and efficiency;

[0022] Multi-source data fusion analysis: In addition to image data, this module can also integrate data from other sensors, historical maintenance records and user input information to conduct comprehensive analysis and judgment, providing a more comprehensive basis for maintenance decisions;

[0023] Real-time performance monitoring and feedback: The platform monitors the operating status of the image recognition algorithm in real time, including key indicators such as recognition speed and accuracy. Once performance degradation or abnormality is detected, an early warning is immediately triggered and troubleshooting is automatically performed.

[0024] According to another aspect of an embodiment of the present invention, there is provided an AI intelligent management method for inspection and detection of an inflatable life raft, comprising the following steps:

[0025] Step 1: Data collection: Collect multi-dimensional data of the life raft, including appearance and system status, through terminals and handheld devices;

[0026] Step 2: Intelligent analysis: Use AI algorithms to analyze data, identify hidden dangers, and generate warnings;

[0027] Step 3: Maintenance guidance: Provide maintenance guidance based on the analysis results and monitor the maintenance process in real time;

[0028] Step 4: Record and analyze: record the inspection results and use big data analysis technology to identify problem trends;

[0029] Step 5: Remote supervision: Implement third-party remote supervision and technical guidance.

[0030] According to another aspect of an embodiment of the present invention, there is provided a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the functions of an AI intelligent management platform for maintenance and detection of inflatable life rafts.

[0031] According to another aspect of an embodiment of the present invention, there is provided a computer program product, including a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the functions of an AI intelligent management platform for maintenance and detection of inflatable life rafts are implemented.

[0032] Beneficial Effects

[0033] Compared with the prior art, the present invention provides an AI intelligent management platform for inflatable life raft maintenance and detection, which has the following beneficial effects:

[0034] The AI ​​intelligent management platform for the inspection and testing of inflatable life rafts uses AR window glasses and handheld AI terminals to collect and record information intuitively, and uses AI system analysis to identify inspection and maintenance items, replacing the traditional human eye inspection equipment and the use of manual paper-based inspection and maintenance records. It standardizes the standard operating procedures for the inspection and testing of inflatable life rafts, making all functional tests of inflatable life rafts intelligent, greatly improving the reliability of life rafts. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a schematic diagram of the system structure of the present invention.

[0036] Figure 2 It is a schematic diagram of the internal system of the present invention.

[0037] Figure 3 It is a schematic diagram of the interior of the data center of the present invention.

[0038] Figure 4 It is a schematic diagram of the interior of the operation terminal of the present invention.

[0039] Figure 5 It is a schematic diagram of pre-inspection of the life raft maintenance process of the present invention.

[0040] Figure 6 It is a schematic diagram of the life raft inspection process of the present invention. DETAILED DESCRIPTION

[0041] 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.

[0042] It should be understood that in various embodiments of the present invention, the size of the sequence number of each process does not mean 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.

[0043] It should be understood that in the present invention, "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or apparatus comprising a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to these processes, methods, products or apparatuses.

[0044] The AI ​​intelligent management platform for the maintenance and inspection of inflatable life rafts includes a data center and an AI operation terminal at a raft station. The data center is used to store and manage the maintenance and inspection data of inflatable life rafts. The maintenance data forms a database including various maintenance problems. The database facilitates maintenance personnel to solve corresponding problems. The data center includes a raft factory data center and a raft station data center.

[0045] It also includes a multi-language system that can provide multi-language interfaces and training materials to meet the needs of international crews.

[0046] The multi-language system includes:

[0047] Multilingual database:

[0048] Used to store translated versions of all interface texts, training materials, documents, etc., supporting dynamic addition of new languages, and stored in the form of key-value pairs;

[0049] Language pack management module:

[0050] Responsible for loading, switching, and updating language packages, and providing API interfaces for other modules to call;

[0051] Interface translation module:

[0052] Dynamically load the corresponding language pack according to the language selected by the user, replace the interface text, and support localization of resources such as pictures and icons;

[0053] Training material translation modules:

[0054] Provide multi-language versions of training videos, documents, PPT and other materials, and support online browsing and downloading;

[0055] User language setting:

[0056] The user selects the default language when registering, and supports users to manually switch the language.

[0057] The raft station AI operation terminal is used to realize the intelligent maintenance and inspection of the inflatable life raft. The raft station AI operation terminal includes a multi-functional combination cabinet, fixed information collection equipment and a multi-functional display.

[0058] It should be noted that the data center stores the life raft manufacturer information, the location information of the life raft maintenance station, the raft station qualification information of the life raft maintenance station and various standard values ​​required for raft inspection;

[0059] The raft station data center stores the station positioning information, station qualification information and various standard values ​​required for raft inspection. The raft station data center only stores the relevant information of the current raft station.

[0060] It should be noted that the multifunctional cabinet includes a display, a copier, a scanner, a printer, a database, a face recognition acquisition probe, a fingerprint identity verification, a voice command interaction and an electronic fence, and the multifunctional cabinet can issue an inspection and repair report on site;

[0061] Fixed information collection equipment uses cameras to intuitively collect information and record raft inspection data;

[0062] The multi-function display is used to display maintenance progress, test results and early warning information in real time to facilitate supervision and guidance.

[0063] It should be noted that the fixed information collection device is a handheld AI terminal. The handheld AI terminal automatically identifies the maintenance data of the life raft through high-definition cameras and image processing technology, determines the defects of the life raft, and intelligently records the inspection data. The handheld AI terminal has a built-in voice command module, which triggers the corresponding program by recognizing voice commands.

[0064] It should be noted that the fixed information collection device is AR window glasses. AR window glasses automatically identify the appearance defects of the life raft through high-definition cameras and image processing technology, and intelligently record the raft inspection data. AR window glasses have a built-in voice command module, which triggers the corresponding program by recognizing voice commands. Different from handheld AI terminals, AR window glasses are worn on the head, which makes it more convenient for raft inspection personnel to perform various raft inspection tasks.

[0065] It should be noted that the manufacturer information of life rafts includes the "standard font size" of the raft factory, the model of the life raft, the corresponding test data of the buoyancy tube of each model of life raft, the opening and closing data of the safety valve, the inflation test data, the pressure value of the platform check valve test, the pressure data of the additional pressure test, each model of raft, the production date and various tests of the whole life cycle, the storage height of each model of raft and the corresponding cable length, the starting length of the rope cylinder, the cylinder value of each model of raft, the cylinder volume, the weight and filling amount of carbon dioxide, the filling amount of nitrogen, the filling amount of alcohol, the weight of the lower valve body, the water pressure cycle of the cylinder of each model of raft, the life cycle of various types of spare parts with validity period and the number of corresponding rafts to be equipped, the appearance, characteristics, index and information collection of various spare parts and outfitting parts;

[0066] The various standard values ​​required for raft inspection include dry and wet temperature gauges, buoyancy tire pressure test gauges, hydrostatic pressure test gauges, cylinder weighing scales, and hanging weighing scales. The quantity statistics and weight conversion of fresh water and rations are performed by AI, that is, the quantity of each type of life raft is determined by weighing according to the number of people; that is, the weight of 10*0.5kg*3=15kg is considered to meet the fresh water equipment requirements of the raft.

[0067] It should be noted that the platform has built-in image recognition algorithms, including:

[0068] High-precision image recognition algorithm: This algorithm uses deep learning technology and is trained with a large amount of image data from life raft maintenance scenes. It can accurately identify appearance defects of life rafts, including wear, cracks, deformation, and key logos and labels on life rafts.

[0069] Algorithm adaptive optimization mechanism: The platform has the ability to adaptively optimize the algorithm, and can automatically adjust and optimize the parameters and model structure of the image recognition algorithm based on newly collected maintenance data and user feedback to improve recognition accuracy and efficiency;

[0070] Multi-source data fusion analysis: In addition to image data, this module can also integrate data from other sensors, historical maintenance records and user input information to conduct comprehensive analysis and judgment, providing a more comprehensive basis for maintenance decisions;

[0071] Real-time performance monitoring and feedback: The platform monitors the operating status of the image recognition algorithm in real time, including key indicators such as recognition speed and accuracy. Once performance degradation or abnormality is detected, an early warning is immediately triggered and troubleshooting is automatically performed.

[0072] According to another aspect of an embodiment of the present invention, there is provided an AI intelligent management method for inspection and detection of an inflatable life raft, comprising the following steps:

[0073] Step 1: Data collection: Collect multi-dimensional data of the life raft, including appearance and system status, through terminals and handheld devices;

[0074] Step 2: Intelligent analysis: Use AI algorithms to analyze data, identify hidden dangers, and generate warnings;

[0075] Step 3: Maintenance guidance: Provide maintenance guidance based on the analysis results and monitor the maintenance process in real time;

[0076] Step 4: Record and analyze: record the inspection results and use big data analysis technology to identify problem trends;

[0077] Step 5: Remote supervision: Implement third-party remote supervision and technical guidance.

[0078] According to another aspect of an embodiment of the present invention, there is provided a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the functions of an AI intelligent management platform for the inspection and detection of inflatable life rafts.

[0079] According to another aspect of an embodiment of the present invention, there is provided a computer program product, including a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the functions of an AI intelligent management platform for maintenance and detection of inflatable life rafts are implemented.

[0080] In one embodiment of the present invention, the raft inspector wears AR window glasses to test the buoy safety valve to check the effectiveness of opening or closing the valve.

[0081] First, the raft inspector wears AR window glasses, connects to a special inflation connector, connects the other end of the tube on the connector to a pressure gauge and an inflation tube, and starts inflation through voice commands. When gas is discharged from the safety valve, the window records the pressure gauge value, which is the safety valve opening pressure. Stop inflation, wait until there is no gas discharged from the safety valve outlet, and the window records the pressure gauge value, which is the safety valve closing pressure. The window uses AI calculations to determine whether the safety valve is opened and closed correctly.

[0082] In one embodiment of the present invention, the inspection personnel wear AR window glasses to inspect the spare parts and accessories to examine the effectiveness of the spare parts and accessories.

[0083] First, the raft inspector wears AR window glasses, removes all accessories from the raft body, and checks their quality one by one. If there is any damage, it needs to be replaced. For those with an expiration date, those with a validity period of less than 12 months should also be replaced. Open the spare parts bag, take out all the spare parts inside, check their quality one by one, and replace the spare parts that are damaged and not in good condition or have a validity period of less than 12 months. Then put each spare part into the spare parts bag lined with plastic film bag according to the specified quantity requirements, then vacuum seal the plastic film bag, and then zip up the spare parts bag.

[0084] In one embodiment of the present invention, the raft inspector performs the inspection of the life raft driving bottle gas cylinder by wearing AR window glasses.

[0085] First, place the driving gas cylinder on the electronic weighing scale, enter the life raft model through voice command, the central database automatically lists the standard values, input the bottle weight through voice command, and the window determines whether the driving gas cylinder value is qualified through AI calculation.

[0086] In summary, the present invention provides an AI intelligent management platform for the maintenance and inspection of an inflatable life raft. The AI ​​intelligent management platform for the maintenance and inspection of an inflatable life raft utilizes AR window glasses and a handheld AI terminal to perform intuitive information collection and recording, and utilizes an AI system to analyze and identify maintenance items, thereby replacing the traditional method of inspecting equipment through the human eye and using manual paper maintenance records, and standardizing the standard operating procedures for the maintenance and inspection of an inflatable life raft, so that all functional tests of the inflatable life raft are intelligent, thereby greatly improving the reliability of the life raft.

[0087] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. AI intelligent management platform for inflatable life raft inspection and testing, including data center and raft station AI operation terminal, characterized by: The data center is used to store and manage the maintenance and inspection data of the inflatable life raft. The maintenance data forms a database including various maintenance problems. The database facilitates maintenance personnel to solve corresponding problems. The data center includes a raft factory data center and a raft station data center. The raft station AI operation terminal is used to realize intelligent maintenance and detection of the inflatable life raft, and the raft station AI operation terminal includes a multifunctional combined cabinet, a fixed information collection device and a multifunctional display; It also includes a multi-language system that can provide multi-language interfaces and training materials to meet the needs of international crews.

2. The AI ​​intelligent management platform for inflatable life raft maintenance and detection according to claim 1 is characterized by: The data center stores the life raft manufacturer information, the location information of the life raft maintenance station, the raft station qualification information of the life raft maintenance station and various standard values ​​required for raft inspection; The raft station data center stores raft station positioning information, raft station qualification information and various standard values ​​required for raft inspection. The raft station data center only stores relevant information of the current raft station.

3. The AI ​​intelligent management platform for inflatable life raft maintenance and detection according to claim 1 is characterized by: The multifunctional combined cabinet includes a display, a copier, a scanner, a printer, a database, a face recognition acquisition probe, a fingerprint identity verification, a voice command interaction and an electronic fence, and the multifunctional combined cabinet can issue a detection and maintenance report on site; The fixed information collection device collects information and records raft detection data intuitively through a camera; The multifunctional display is used to display the maintenance progress, test results and early warning information in real time, which is convenient for supervision and guidance.

4. The AI ​​intelligent management platform for inflatable life raft maintenance and detection according to claim 3 is characterized by: The fixed information collection device is a handheld AI terminal, which automatically identifies the maintenance data of the life raft through a high-definition camera and image processing technology, determines the defects of the life raft, and intelligently records the inspection data. The handheld AI terminal has a built-in voice command module, which triggers the corresponding program by recognizing voice commands.

5. The AI ​​intelligent management platform for inflatable life raft inspection and testing according to claim 3 is characterized by: The fixed information collection device is AR window glasses, which automatically identify the appearance defects of life rafts through high-definition cameras and image processing technology, and intelligently record the raft inspection data. The AR window glasses have a built-in voice command module, which triggers the corresponding program by recognizing voice commands. Different from handheld AI terminals, AR window glasses are worn on the head, which makes it more convenient for raft inspection personnel to perform various raft inspection tasks.

6. The AI ​​intelligent management platform for inflatable life raft maintenance and inspection according to claim 2 is characterized by: The life raft manufacturer information includes the "standard font size" of the raft factory, the model of the life raft, the corresponding test data of the buoyancy tube of each model of the life raft, the safety valve opening data, the safety valve closing data, the inflation test data, the pressure value of the platform check valve test, and the pressure data of the additional pressure test. Each model of raft, the production date and various tests of the whole life cycle, the storage height of each model of raft and its corresponding bow cable length, the starting length of the pull rope cylinder, the cylinder value of each model of raft, the cylinder volume, the weight and filling amount of carbon dioxide, the nitrogen filling amount, the alcohol filling amount, and the weight of the lower valve body; the water pressure cycle of the cylinder of each model of raft, the life cycle of various types of spare parts with validity periods and the number of corresponding rafts to be equipped, the appearance, characteristics, indexes of various spare parts and outfitting parts, and information collection; The various standard values ​​required for the inspection of the raft include a dry and wet temperature table, a buoyancy tire pressure test table, a hydrostatic pressure test pressure table, a cylinder weighing scale, and a hanging weighing scale. The quantity statistics and weight conversion of fresh water and rations are performed by AI, that is, the quantity of each type of life raft is determined by weighing according to the number of people; that is, the weight of 10*0.5kg*3=15kg is regarded as meeting the fresh water equipment requirements of the raft.

7. The AI ​​intelligent management platform for inflatable life raft maintenance and inspection according to claim 1 is characterized by: The platform has built-in image recognition algorithms, including: High-precision image recognition algorithm: This algorithm uses deep learning technology and is trained with a large amount of image data from life raft maintenance scenes. It can accurately identify appearance defects of life rafts, including wear, cracks, deformation, and key logos and labels on life rafts. Algorithm adaptive optimization mechanism: The platform has the ability to adaptively optimize the algorithm, and can automatically adjust and optimize the parameters and model structure of the image recognition algorithm based on newly collected maintenance data and user feedback to improve recognition accuracy and efficiency; Multi-source data fusion analysis: In addition to image data, this module can also integrate data from other sensors, historical maintenance records and user input information to conduct comprehensive analysis and judgment, providing a more comprehensive basis for maintenance decisions; Real-time performance monitoring and feedback: The platform monitors the operating status of the image recognition algorithm in real time, including key indicators such as recognition speed and accuracy. Once performance degradation or abnormality is detected, an early warning is immediately triggered and troubleshooting is automatically performed.

8. An AI intelligent management method for inflatable life raft inspection and testing, characterized in that: The following steps are involved: Step 1: Data collection: Collect multi-dimensional data of the life raft, including appearance and system status, through terminals and handheld devices; Step 2: Intelligent analysis: Use AI algorithms to analyze data, identify hidden dangers, and generate warnings; Step 3: Maintenance guidance: Provide maintenance guidance based on the analysis results and monitor the maintenance process in real time; Step 4: Record and analyze: record the inspection results and use big data analysis technology to identify problem trends; Step 5: Remote supervision: Implement third-party remote supervision and technical guidance.

9. A computer-readable storage medium, characterized in that: A computer program is stored, and when the computer program is executed by a processor, the functions of the inflatable life raft maintenance and detection AI intelligent management platform described in any one of claims 1 to 7 are realized.

10. A computer program product, characterized in that It comprises a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the function of the inflatable life raft maintenance and detection AI intelligent management platform described in any one of claims 1 to 7 is realized.

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