Dry dock leaving ship identification system and method for marine ship maintenance

Abstract

The present invention relates to the field of ship identification technology, specifically to a dry dock port departure ship identification system and method for marine ship maintenance, the system comprising a sound command parsing module, a scheduling decision module, a micro-dynamic analysis module and a position positioning identification module. In the present invention, through acoustic signal analysis and key command recognition, it is allowed to more accurately distinguish human voices in a multi-noise environment, significantly improve the recognition rate and response speed of commands, and effectively reduce misoperation in the complex environment of a dry dock. Dynamic resource and time management enables the priority order and scheduling plan of ship departure to be optimized according to real-time conditions, improves the efficiency of dock port use and the response speed of ship maintenance, and accurately monitors tiny vibrations and position offsets to help timely predict potential maintenance problems, reduce the accident rate, and ensure the long-term operational safety of ships. Real-time updated position information and dynamically adjusted departure paths further enhance operational fluency and safety.

Description

Technical Field

[0001] The present invention relates to the technical field of ship identification, and in particular to a system and method for identifying ships leaving a dry dock for marine ship maintenance. Background Art

[0002] The field of ship identification technology focuses on the use of automated systems and equipment to identify, track and manage ships. This field includes a variety of technical means, including but not limited to the use of radar, sonar, video surveillance, automatic identification system (AIS) and various sensor technologies. Ship identification technology plays an important role in improving the safety, efficiency and regulatory compliance of ports and waters. It can achieve real-time positioning and identification of ships, assist in ship traffic management and maritime search and rescue operations. In addition, the system can also be integrated into a wider marine monitoring and management system to support environmental protection and sustainable use of waters.

[0003] Among them, the dry dock port departure ship identification system is a system specially designed to automatically identify ships about to leave the dock in a dry dock environment. The purpose of the system is mainly to ensure that ships can enter or leave the dry dock safely and efficiently during maintenance or repairs. By automatically identifying and tracking the location and status of the ship, it helps reduce human errors, optimizes the efficiency of dock use, and enhances the safety of dock operations. It can also support the management of ship maintenance plans to ensure that ships enter and leave according to the scheduled schedule.

[0004] Existing ship identification technologies rely on radar, sonar and video surveillance, but in special environments such as dry docks, these technologies are subject to spatial limitations and multiple signal interference, which affects positioning accuracy. Limited line of sight and lighting conditions mean that video surveillance may not be able to fully cover the dock area or clearly capture all necessary ship dynamics. The automatic identification function of existing systems often relies on fixed algorithms and preset parameters, and may not be able to be flexibly adjusted in the face of emergencies or non-standard operations, resulting in inflexible or inaccurate responses. Rigid processing methods may cause delays when ships leave urgently or need to be adjusted quickly, affecting the operational efficiency and safety of the dock. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings in the prior art and to propose a system and method for identifying ships leaving a dry dock for marine ship maintenance.

[0006] In order to achieve the above-mentioned object, the present invention adopts the following technical scheme: A dry dock port leaving ship identification system for marine ship maintenance comprises:

[0007] The sound command parsing module receives the audio input from the docking environment, performs acoustic signal analysis, distinguishes human voice from background noise through frequency filtering and amplitude detection, identifies key voice commands, and generates safety command data;

[0008] The scheduling decision module analyzes the input parameters of the ship owner, maintenance team and dock manager based on the safety instruction data, performs resource allocation and timetable calculation, performs priority sorting and resource allocation according to the calculation results, dynamically optimizes dock resource and time management, updates the priority of marine vessels leaving the dock in real time, and generates an optimized scheduling plan;

[0009] The micro-dynamic analysis module receives the optimization scheduling plan, monitors the slight changes on the hull surface based on high-speed camera data, evaluates the slight vibration and position deviation of the marine vessel, quantitatively analyzes the structural stability of the marine vessel based on the evaluation results, predicts potential maintenance problems, and generates ship maintenance warning information;

[0010] The position positioning and identification module uses the ship maintenance warning information and combines GPS to update the position information of the marine ship in the dock in real time, synchronizes the position data to the maintenance database, dynamically adjusts the ship's departure path and departure time, and outputs the marine ship's dynamic identification information.

[0011] As a further solution of the present invention, the step of acquiring the security instruction data is:

[0012] Receive the audio input from the docking environment, perform fast Fourier transform, and convert the audio signal from the time domain to the frequency domain using the formula,

[0013]

[0014] Calculate frequency The signal amplitude under , generate spectrum data, where Represents the sound signal strength in the time domain, Indicates frequency;

[0015] Apply a bandpass filter to the spectral data to exclude background noise, using the formula,

[0016]

[0017] Generate filtered spectrum data ,in, , and They are the filter attenuation coefficient, power exponent and phase adjustment coefficient, which are used to optimize the filtering process and ensure effective separation of human voice and noise;

[0018] Analyze the filtered spectrum data and set the energy threshold , identify the key instruction part, using the formula,

[0019]

[0020] Calculate the average amplitude ,like Greater than , it is defined as a critical instruction and generates security instruction data, where Represents the importance weight of each frequency point, which is used to enhance the impact of key frequency points. represents the sample size, Represents the filtered The amplitude of the sample points.

[0021] As a further solution of the present invention, the calculation steps of the resource allocation and schedule are:

[0022] Collect the safety instruction data and input from the ship owner, maintenance team and dock manager, and use the formula,

[0023]

[0024] Perform integration and output parameter integration data ,in, is a tuning constant for parameter integration, used to ensure that the effect of the number of parameters is reflected, Representative input parameters, is the number of parameters;

[0025] Based on the parameters, the data are integrated using the formula,

[0026]

[0027] Calculate and output the total resource requirements ,in, is the resource demand adjustment coefficient, which quantifies the impact of each parameter unit on resource demand. is the basic resource requirement offset;

[0028] Based on the sum of the resource requirements, the formula is used,

[0029]

[0030] Calculate and output the total duration of the schedule ,in, Represents the basic time unit, which represents the maximum available time without any resource restrictions. Optimize constant for time.

[0031] As a further solution of the present invention, the step of obtaining the optimized scheduling solution is:

[0032] Based on the total duration of the schedule, using the formula,

[0033]

[0034] Calculating vessel priority scores ,in, Represents the priority score adjustment factor, which is used to amplify or reduce the impact of the schedule result. is a normalization constant used to ensure that the priority score is within a reasonable range;

[0035] Based on the ship priority scores, resource allocation is dynamically adjusted using the formula:

[0036]

[0037] Calculate the total resources allocated to the ship ,in, Represents the resource allocation coefficient, which is used to adjust the impact of priority scores on resource allocation. Indicates the basis for resource allocation offset, ensuring that low-priority ships obtain necessary resources;

[0038] Based on the total resources allocated to the ship, integrated with the existing dock operation plan, the formula is adopted:

[0039]

[0040] Calculate the solution score , and output the optimized scheduling solution, where is the scheduling efficiency multiplier factor, which is used to optimize scheduling efficiency. It is a scheduling optimization constant used to balance the flexibility of the scheduling scheme.

[0041] As a further solution of the present invention, the steps of evaluating the subtle vibration and position deviation of the marine vessel are:

[0042] Based on the optimization scheduling scheme, cameras are deployed to continuously record the surface status of the hull, and the formula is used.

[0043]

[0044] Calculate the cumulative difference between image frames ,in, Indicates at time The image frame, Represents the total number of frames. is an adjustment constant used to enhance sensitivity to small changes, It is an index used to magnify or reduce the value of image changes, increasing sensitivity to details;

[0045] According to the accumulated amount of difference between the image frames, the subtle changes between each frame are identified and quantified, using the formula,

[0046]

[0047] Calculate the average change between each frame ,in, is the coefficient used to adjust the effect of the change. It is a small constant used to stabilize the denominator and prevent division by zero errors;

[0048] Based on the average change between each frame, the ship vibration and position offset are evaluated using the formula,

[0049]

[0050] Calculate quantitative evaluation value , output the evaluation results, where is the preset sensitivity threshold, is the conversion factor used to adjust the change to the actual evaluation score, is the sensitivity adjustment factor used to ensure the sensitivity of the assessment.

[0051] As a further solution of the present invention, the step of obtaining the ship maintenance warning information is:

[0052] According to the evaluation results, the stability of the hull structure is analyzed using the formula:

[0053]

[0054] Calculating the stability score ,in, is the adjustment factor used to adjust the effect of vibration and position shift on the structural stability score, is an index used to increase or decrease the sensitivity of the score, matching vessels of different types and sizes.

[0055] Based on the stability score, the vessel is analyzed for potential maintenance issues using the formula,

[0056]

[0057] Calculate the current ship structural stability score , and obtain the maintenance demand forecast results, where is the maintenance trigger score threshold, is the weighting coefficient, is a constant used to stabilize the denominator and prevent numerical errors in extreme cases;

[0058] According to the maintenance demand forecast results, set the maintenance preset threshold , using the formula,

[0059]

[0060] Calculating maintenance warning scores ,like Greater than , then a ship maintenance warning message is issued, among which, is the adjustment factor used to convert maintenance requirements into actual warning levels, It is a normalized constant to ensure the rationality of early warning information.

[0061] As a further solution of the present invention, the steps for obtaining the real-time position identification information of the marine vessel are:

[0062] Based on the ship maintenance warning information combined with GPS, data fusion is performed and the formula is adopted:

[0063]

[0064] Output fused data ,in, Is the ship in time GPS location data, is the weight coefficient of the warning information, is the influence coefficient of GPS location data, is an index used to amplify or compress changes in GPS data. is the standardized coefficient used to balance the formula;

[0065] Based on the fused data, the formula is used:

[0066]

[0067] and

[0068]

[0069] Calculate the optimal flight path and scheduled departure time ,in, is the coefficient of path adjustment, is a decimal, ensuring that logarithmic operations are valid. is the time adjustment factor, is the time-adjusted index, is the time-adjusted standardized coefficient;

[0070] Based on the optimized navigation path and the scheduled departure time, dynamic identification information of the marine vessel is formulated and output.

[0071] A method for identifying a ship leaving a dry dock for marine ship maintenance comprises the following steps:

[0072] S1: Receives audio input from the docking environment, performs fast Fourier transform, applies a bandpass filter, eliminates background noise, sets energy thresholds, identifies key command parts, calculates average amplitude, and generates safety command data;

[0073] S2: Collect and integrate the safety instruction data and the input from the ship owner, maintenance team and dock manager, analyze the total resource requirements, calculate and output the total time of the schedule;

[0074] S3: Based on the total duration of the schedule, calculate the ship priority score, dynamically adjust resource allocation, integrate with the existing dock operation plan, and output an optimized scheduling plan;

[0075] S4: Based on the optimization scheduling scheme, deploy cameras, continuously record the surface status of the hull, calculate the cumulative amount of differences between image frames, identify and quantify subtle changes between each frame, evaluate the vibration and position offset of the ship, and output the evaluation results;

[0076] S5: Analyze the stability of the hull structure and potential maintenance problems of the ship according to the evaluation results, calculate the current ship structure stability score and maintenance warning score, set the maintenance preset threshold for judgment, and generate ship maintenance warning information;

[0077] S6: Based on the ship maintenance warning information combined with GPS, data fusion is performed to calculate the optimized navigation path and scheduled departure time, and to formulate and output marine ship dynamic identification information.

[0078] Compared with the prior art, the advantages and positive effects of the present invention are:

[0079] In the present invention, through acoustic signal analysis and key command recognition, it is allowed to more accurately distinguish human voices in a noisy environment, significantly improve the recognition rate and response speed of commands, and effectively reduce misoperation in the complex environment of a dry dock. Dynamic resource and time management enables the priority and scheduling plan of ship departure to be optimized according to real-time conditions, thereby improving the efficiency of dock utilization and the response speed of ship maintenance. Accurate monitoring of tiny vibrations and position offsets helps to timely predict potential maintenance problems, reduce the accident rate, and ensure the long-term operational safety of the ship. The real-time updated position information and dynamically adjusted departure path further improve the control accuracy of the ship's movement, avoid collisions and accidents, and enhance operational smoothness and safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0080] Figure 1 is a system flow chart of the present invention;

[0081] Figure 2 is a flowchart for obtaining security instruction data of the present invention;

[0082] Figure 3 A flow chart for calculating resource allocation and timetable of the present invention;

[0083] Figure 4 A flowchart for obtaining the optimized scheduling scheme of the present invention;

[0084] Figure 5 This is a flow chart for evaluating subtle vibration and position deviation of marine vessels according to the present invention;

[0085] Figure 6 This is a flow chart for obtaining ship maintenance warning information of the present invention;

[0086] Figure 7 This is a flow chart for obtaining real-time position identification information of marine vessels according to the present invention. DETAILED DESCRIPTION

[0087] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0088] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0089] See also Figure 1 , the dry dock departure ship identification system used for marine vessel maintenance includes:

[0090] The sound command parsing module receives the audio input from the docking environment, performs acoustic signal analysis, distinguishes human voice from background noise through frequency filtering and amplitude detection, identifies key voice commands, and generates safety command data;

[0091] The scheduling decision module analyzes the input parameters of the ship owner, maintenance team and dock manager based on the safety instruction data, performs resource allocation and timetable calculation, prioritizes and allocates resources according to the calculation results, dynamically optimizes dock resource and time management, updates the priority of ocean vessels leaving the dock in real time, and generates an optimized scheduling plan;

[0092] The micro-dynamic analysis module receives the optimized scheduling plan, monitors the tiny changes on the hull surface based on high-speed camera data, evaluates the subtle vibration and position deviation of the marine vessel, conducts quantitative analysis on the structural stability of the marine vessel based on the evaluation results, predicts potential maintenance problems, and generates ship maintenance warning information;

[0093] The position positioning and identification module uses the ship maintenance warning information and combines it with GPS to update the position information of the marine vessel in the dock in real time, synchronizes the position data to the maintenance database, dynamically adjusts the ship's departure path and departure time, and outputs the dynamic identification information of the marine vessel.

[0094] Safety instruction data includes instruction content recognition results and noise classification results; optimization scheduling plans include resource priority sorting results, time optimization results and scheduling strategies; ship maintenance warning information includes ship structure safety analysis results and maintenance alarms; marine ship dynamic identification information includes location identification information, real-time path adjustment results and time scheduling records.

[0095] See also Figure 2 , the steps to obtain security instruction data are:

[0096] Receive the audio input from the docking environment, perform fast Fourier transform, and convert the audio signal from the time domain to the frequency domain using the formula,

[0097]

[0098] Calculate frequency The signal amplitude under , generate spectrum data, where Represents the sound signal strength in the time domain, Indicates frequency;

[0099] Apply a bandpass filter to the spectral data to exclude background noise using the formula,

[0100]

[0101] Generate filtered spectrum data ,in, , and They are the filter attenuation coefficient, power exponent and phase adjustment coefficient, which are used to optimize the filtering process and ensure effective separation of human voice and noise;

[0102] Analyze the filtered spectrum data and set the energy threshold , identify the key instruction part, using the formula,

[0103]

[0104] Calculate the average amplitude ,like Greater than , it is defined as a critical instruction and generates security instruction data, where Represents the importance weight of each frequency point, which is used to enhance the impact of key frequency points. represents the sample size, Represents the filtered The amplitude of the sample points.

[0105] Assuming the audio signal is a simple sine wave, , considering a very short time window, assuming From 0 to 0.01 seconds.

[0106] Substituting into the formula, we get:

[0107]

[0108] In the simplified case, numerical integration yields The approximate value of is assumed to be , indicating that there is a certain amplitude and phase at this frequency.

[0109] The results obtained , indicating that at the frequency of 440Hz, the audio signal has a certain amplitude and phase. This complex number result contains the amplitude (the amplitude of the real and imaginary parts) and phase information (determined by the ratio of the real and imaginary parts).

[0110] The results show that the signal component with a frequency of 440Hz is successfully captured, with the real part and the imaginary part each accounting for half, showing the balanced amplitude response of the signal at this frequency. This result is used for the next step of filtering processing and provides effective frequency composition information.

[0111] Assumptions , , , combined with the above calculation results, we get:

[0112]

[0113] in,

[0114]

[0115]

[0116] but:

[0117]

[0118] The result after filtering This means that after the filter processing with the specified settings, the amplitude of the signal at the 440 Hz frequency has been reduced. The reduction indicates that the filter successfully reduced some of the amplitude while preserving the basic characteristics of the signal (the phase is unchanged). This process is critical to remove noise or signals at non-target frequencies, ensuring that the main processing and analysis is done on the human voice or signals in the target frequency range.

[0119] Assumptions , all samples are equally weighted, the number of samples ,but:

[0120]

[0121]

[0122]

[0123] Through calculation, we can see the spectral intensity of the audio signal at a specific frequency, the changes after filtering, and the average amplitude value obtained by amplitude detection. This value of 0.089 indicates that after filtering and weighting, the system is able to extract a relatively small signal from the noise, which is critical for further processing of the sound signal and keyword recognition.

[0124] See also Figure 3 , the calculation steps of resource allocation and schedule are:

[0125] By collecting safety instruction data and input from ship owners, maintenance teams and dock managers, a formula is used to

[0126]

[0127] Perform integration and output parameter integration data ,in, is a tuning constant for parameter integration, used to ensure that the effect of the number of parameters is reflected, Representative input parameters, is the number of parameters;

[0128] Based on the parameter integration data, the formula is used.

[0129]

[0130] Calculate and output the total resource requirements ,in, is the resource demand adjustment coefficient, which quantifies the impact of each parameter unit on resource demand. is the basic resource requirement offset;

[0131] Based on the sum of resource requirements, using the formula,

[0132]

[0133] Calculate and output the total duration of the schedule ,in, Represents the basic time unit, which represents the maximum available time without any resource restrictions. Optimize constant for time.

[0134] Assume that five parameters are collected (including other aspects such as ship size, maintenance requirements and budget), and the values ​​of each parameter are: 10, 20, 30, 40, 50, and the adjustment factor is Set to 2.

[0135] Substituting into the formula, we get:

[0136]

[0137] final The value of 160 reflects the quantitative results of the overall analysis that integrates all input parameters and their impact on the overall analysis, which serves as the basis for resource allocation and schedule calculation.

[0138] Use the previous step Result 160, set .

[0139] Substituting into the formula, we get:

[0140]

[0141] Calculated The value is 183, which represents the total resource demand calculated based on the input parameters and adjustment coefficients. This value will be used for further schedule optimization and resource allocation to ensure that resources are used effectively.

[0142] Using the above calculation results ,set up ,but:

[0143]

[0144] Calculated About 5.18. This value represents the optimized schedule calculated based on the current resource configuration, indicating the average service time (in hours) that the dock can provide for the ship. This time indicator is critical to ensure that all operations are completed on time and will serve as a basis for prioritization and resource reallocation.

[0145] See also Figure 4 , the steps to obtain the optimized scheduling plan are:

[0146] Based on the total duration of the schedule, using the formula,

[0147]

[0148] Calculating vessel priority scores ,in, Represents the priority score adjustment factor, which is used to amplify or reduce the impact of the schedule result. is a normalization constant used to ensure that the priority score is within a reasonable range;

[0149] According to the ship priority score, resource allocation is dynamically adjusted using the formula:

[0150]

[0151] Calculate the total resources allocated to the ship ,in, Represents the resource allocation coefficient, which is used to adjust the impact of priority scores on resource allocation. Indicates the basis for resource allocation offset, ensuring that low-priority ships obtain necessary resources;

[0152] Based on the total resources allocated to the ships, and integrated with the existing dock operation plan, the formula is adopted:

[0153]

[0154] Calculate the solution score , and output the optimized scheduling solution, where is the scheduling efficiency multiplier factor, which is used to optimize scheduling efficiency. It is a scheduling optimization constant used to balance the flexibility of the scheduling scheme.

[0155] Combined with the above calculation results ,set up =0.75, =50, then:

[0156]

[0157]

[0158]

[0159] Calculated About 0.40. This score reflects the priority of the ship based on the schedule optimization results, and a higher score means a higher priority. This value will be used for further resource allocation and scheduling optimization.

[0160] Using the above calculation results ,set up and .

[0161] Substituting into the formula, we get:

[0162]

[0163]

[0164] Calculated This value is about 20.1333. This value represents the total resources allocated to the ship. A high value means that more resources are allocated to the ship, so it can be processed first.

[0165] Combination ,set up and ,but:

[0166]

[0167]

[0168]

[0169] Calculated This value represents the efficiency and responsiveness of the generated scheduling solution. A higher score indicates that the scheduling solution can effectively respond to demand and optimize the operation of the dock.

[0170] See also Figure 5 , the evaluation steps of subtle vibration and position deviation of marine ships are:

[0171] Based on the optimized scheduling scheme, cameras are deployed to continuously record the surface status of the hull, and the formula is used.

[0172]

[0173] Calculate the cumulative difference between image frames ,in, Indicates at time The image frame, Represents the total number of frames. is an adjustment constant used to enhance sensitivity to small changes, It is an index used to magnify or reduce the value of image changes, increasing sensitivity to details;

[0174] According to the accumulated difference between image frames, the subtle changes between each frame are identified and quantified, using the formula,

[0175]

[0176] Calculate the average change between each frame ,in, is the coefficient used to adjust the effect of the change. It is a small constant used to stabilize the denominator and prevent division by zero errors;

[0177] Based on the average change between each frame, the ship vibration and position offset are evaluated using the formula,

[0178]

[0179] Calculate quantitative evaluation value , output the evaluation results, where is the preset sensitivity threshold, is the conversion factor used to adjust the change to the actual evaluation score, is the sensitivity adjustment factor used to ensure the sensitivity of the assessment.

[0180] Assume that in one monitoring, 100 frames of image data are captured, namely 2, 3, 1, 4, ..., and set .

[0181] Take 2, 3, 1, 4 as an example, and substitute them into the formula to get:

[0182]

[0183]

[0184]

[0185]

[0186] Calculated represents the total change measured from this series of frames, where the response to small changes has been strengthened by the adjustment factor.

[0187] Continue to use , ,set up , ,but:

[0188]

[0189] Calculated Represents the average amount of change between frames, with smaller values ​​indicating that the changes are subtle but still detectable after accumulating a large amount of data.

[0190] use ,set up ,but:

[0191]

[0192] It means that the assessed hull vibration and position deviation are significant and may require further structural inspection or maintenance.

[0193] See also Figure 6 ,The steps for obtaining ship maintenance warning information are:

[0194] According to the evaluation results, the stability of the hull structure is analyzed using the formula:

[0195]

[0196] Calculating the stability score ,in, is the adjustment factor used to adjust the effect of vibration and position shift on the structural stability score, is an index used to increase or decrease the sensitivity of the score, matching vessels of different types and sizes.

[0197] Based on the stability score, the potential maintenance issues of the ship are analyzed using the formula:

[0198]

[0199] Calculate the current ship structural stability score , and obtain the maintenance demand forecast results, where is the maintenance trigger score threshold, is the weighting coefficient, is a constant used to stabilize the denominator and prevent numerical errors in extreme cases;

[0200] Set maintenance preset thresholds based on maintenance demand forecast results , using the formula,

[0201]

[0202] Calculating maintenance warning scores ,like Greater than , then a ship maintenance warning message is issued, among which, is the adjustment factor used to convert maintenance requirements into actual warning levels, It is a normalized constant to ensure the rationality of early warning information.

[0203] Assumptions ,set up .

[0204] Substituting into the formula, we get:

[0205]

[0206]

[0207] Calculated A score indicating the structural stability of the vessel. A higher score indicates that the vessel is more sensitive to minor vibrations and position changes, indicating structural weaknesses or potential maintenance needs.

[0208] use ,set up .

[0209] Substituting into the formula, we get:

[0210]

[0211] Indicates the predicted maintenance need level based on the current structural stability score. This value indicates a high potential maintenance need and recommends a detailed inspection and possible maintenance work in the near future.

[0212] use ,set up .

[0213] Substituting into the formula, we get:

[0214]

[0215] What you get Indicates the level of maintenance warning. If this value exceeds a certain preset threshold, it may immediately trigger a warning signal, reminding the ship management team to take measures to prevent possible accidents or failures.

[0216] See also Figure 7 ,The steps for obtaining the real-time position identification information of marine vessels are:

[0217] Based on the ship maintenance warning information combined with GPS, data fusion is performed and the formula is used.

[0218]

[0219] Output fused data ,in, Is the ship in time GPS location data, is the weight coefficient of the warning information, is the influence coefficient of GPS location data, is an index used to amplify or compress changes in GPS data. is the standardized coefficient used to balance the formula;

[0220] According to the fusion data, the formula is used:

[0221]

[0222] and

[0223]

[0224] Calculate the optimal flight path and scheduled departure time ,in, is the coefficient of path adjustment, is a decimal, ensuring that logarithmic operations are valid. is the time adjustment factor, is the time-adjusted index, is the time-adjusted standardized coefficient;

[0225] Based on the optimized navigation path and scheduled departure time, dynamic identification information of marine vessels is formulated and output.

[0226] Assume the following parameters:

[0227] : The weight coefficient of the warning information is set to 1.2.

[0228] : The influence coefficient of GPS location data is set to 0.8.

[0229] : Exponent used to amplify or compress GPS data changes, set to 2.

[0230] : Used to balance the formula and prevent data overflow, set to 1.5.

[0231] : Warning information, assumed to be 5.

[0232] : Real-time location information, assumed to be 10.

[0233] Substituting into the formula, we get:

[0234]

[0235]

[0236] Calculated ,This value represents the weighted result of the maintenance warning information and real-time location information, which is used for the next step of path and time optimization.

[0237] Assumptions is 3, is 2, is 0.5, is 1.1, is 10.

[0238] Combining the above calculation results and substituting them into the formula, we get:

[0239]

[0240]

[0241]

[0242]

[0243] result represents the adjusted navigation path score, Represents the optimized scheduled time (in hours), calculated based on maintenance alerts and real-time location.

[0244] A method for identifying a ship leaving a dry dock for marine ship maintenance comprises the following steps:

[0245] S1: Receives audio input from the docking environment, performs fast Fourier transform, applies a bandpass filter, eliminates background noise, sets energy thresholds, identifies key command parts, calculates average amplitude, and generates safety command data;

[0246] S2: Collect and integrate safety instruction data and input from ship owners, maintenance teams and dock managers, analyze the total resource requirements, and calculate and output the total timetable duration;

[0247] S3: Based on the total duration of the schedule, calculate the ship priority score, dynamically adjust resource allocation, integrate with the existing dock operation plan, and output the optimized scheduling plan;

[0248] S4: Based on the optimized scheduling plan, deploy cameras, continuously record the surface status of the hull, calculate the cumulative difference between image frames, identify and quantify the subtle changes between each frame, evaluate the ship vibration and position offset, and output the evaluation results;

[0249] S5: Based on the evaluation results, analyze the stability of the hull structure, analyze the potential maintenance problems of the ship, calculate the current ship structure stability score and maintenance warning score, set the maintenance preset threshold for judgment, and generate ship maintenance warning information;

[0250] S6: Based on the ship maintenance warning information combined with GPS, data fusion is performed to calculate the optimized navigation path and scheduled departure time, and formulate and output the dynamic identification information of marine ships.

[0251] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A ship identification system for leaving a dry dock for marine ship maintenance, characterized by: The system comprises: The sound command parsing module receives the audio input from the docking environment, performs acoustic signal analysis, distinguishes human voice from background noise through frequency filtering and amplitude detection, identifies key voice commands, and generates safety command data; The scheduling decision module analyzes the input parameters of the ship owner, maintenance team and dock manager based on the safety instruction data, performs resource allocation and timetable calculation, performs priority sorting and resource allocation according to the calculation results, dynamically optimizes dock resource and time management, updates the priority of marine vessels leaving the dock in real time, and generates an optimized scheduling plan; The micro-dynamic analysis module receives the optimization scheduling plan, monitors the slight changes on the hull surface based on high-speed camera data, evaluates the slight vibration and position deviation of the marine vessel, quantitatively analyzes the structural stability of the marine vessel based on the evaluation results, predicts potential maintenance problems, and generates ship maintenance warning information; The position positioning and identification module uses the ship maintenance warning information and combines GPS to update the position information of the marine ship in the dock in real time, synchronizes the position data to the maintenance database, dynamically adjusts the ship's departure path and departure time, and outputs the marine ship's dynamic identification information; The calculation steps of resource allocation and schedule are: Collect the safety instruction data and input from the ship owner, maintenance team and dock manager, and use the formula, Perform integration and output parameter integration data ,in, is a tuning constant for parameter integration, used to ensure that the effect of the number of parameters is reflected, Representative input parameters, is the number of parameters; Based on the parameters, the data are integrated using the formula, Calculate and output the total resource requirements ,in, is the resource demand adjustment coefficient, which quantifies the impact of each parameter unit on resource demand. is the basic resource requirement offset; Based on the sum of the resource requirements, the formula is used, Calculate and output the total duration of the schedule ,in, Represents the basic time unit, which represents the maximum available time without any resource restrictions. Optimize constants for time; The steps for obtaining the optimized scheduling scheme are: Based on the total duration of the schedule, using the formula, Calculating vessel priority scores ,in, Represents the priority score adjustment factor, which is used to amplify or reduce the impact of the schedule result. is a normalization constant used to ensure that the priority score is within a reasonable range; Based on the ship priority scores, resource allocation is dynamically adjusted using the formula: Calculate the total resources allocated to the ship ,in, Represents the resource allocation coefficient, which is used to adjust the impact of priority scores on resource allocation. Indicates the resource allocation base offset; Based on the total resources allocated to the ship, integrated with the existing dock operation plan, the formula is adopted: Calculate the solution score , and output the optimized scheduling solution, where is the scheduling efficiency multiplier factor, which is used to optimize scheduling efficiency. It is a scheduling optimization constant used to balance the flexibility of the scheduling scheme.

2. The dry dock leaving ship identification system for marine vessel maintenance according to claim 1, characterized in that: The steps for obtaining the security instruction data are as follows: Receive the audio input from the docking environment, perform fast Fourier transform, and convert the audio signal from the time domain to the frequency domain using the formula, Calculate frequency The signal amplitude under , generate spectrum data, where Represents the sound signal strength in the time domain, Indicates frequency; Apply a bandpass filter to the spectral data to exclude background noise, using the formula, Generate filtered spectrum data ,in, , and They are the filter attenuation coefficient, power exponent and phase adjustment coefficient, which are used to optimize the filtering process and ensure effective separation of human voice and noise; Analyze the filtered spectrum data and set the energy threshold , identify the key instruction part, using the formula, Calculate the average amplitude ,like Greater than , it is defined as a critical instruction and generates security instruction data, where Represents the importance weight of each frequency point, which is used to enhance the impact of key frequency points. represents the sample size, Represents the filtered The amplitude of the sample points.

3. The dry dock leaving ship identification system for marine vessel maintenance according to claim 1, characterized in that: The steps for evaluating the subtle vibration and position deviation of the marine vessel are as follows: Based on the optimization scheduling scheme, cameras are deployed to continuously record the surface status of the hull, and the formula is used. Calculate the cumulative difference between image frames ,in, Indicates at time The image frame, Represents the total number of frames. is an adjustment constant used to enhance sensitivity to small changes, It is an index used to magnify or reduce the value of image changes, increasing sensitivity to details; According to the accumulated amount of difference between the image frames, the subtle changes between each frame are identified and quantified, using the formula, Calculate the average change between each frame ,in, is the coefficient used to adjust the effect of the change. It is a small constant used to stabilize the denominator and prevent division by zero errors; Based on the average change between each frame, the ship vibration and position offset are evaluated using the formula, Calculate quantitative evaluation value , output the evaluation results, where is the preset sensitivity threshold, is the conversion factor used to adjust the change to the actual evaluation score, is the sensitivity adjustment factor used to ensure the sensitivity of the assessment.

4. The dry dock leaving ship identification system for marine vessel maintenance according to claim 3 is characterized by: The steps for obtaining the ship maintenance warning information are as follows: According to the evaluation results, the stability of the hull structure is analyzed using the formula: Calculating the stability score ,in, is the adjustment factor used to adjust the effect of vibration and position shift on the structural stability score, is an index used to increase or decrease the sensitivity of the score, matching vessels of different types and sizes. Based on the stability score, the vessel is analyzed for potential maintenance issues using the formula, Calculate the current ship structure stability score , and obtain the maintenance demand forecast results, where is the maintenance trigger score threshold, is the weighting coefficient, is a constant used to stabilize the denominator and prevent numerical errors in extreme cases; According to the maintenance demand forecast results, set the maintenance preset threshold , using the formula, Calculating maintenance warning scores ,like Greater than , then a ship maintenance warning message is issued, among which, is the adjustment factor used to convert maintenance requirements into actual warning levels, It is a normalized constant to ensure the rationality of early warning information.

5. The dry dock leaving ship identification system for marine vessel maintenance according to claim 4, characterized in that: The steps for obtaining the real-time position identification information of the marine vessel are as follows: Based on the ship maintenance warning information combined with GPS, data fusion is performed and the formula is adopted: Output fused data ,in, Is the ship in time GPS location data, is the weight coefficient of the warning information, is the influence coefficient of GPS location data, is an index used to amplify or compress changes in GPS data. is the standardized coefficient used to balance the formula; Based on the fused data, the formula is used: and Calculate the optimal flight path and scheduled departure time ,in, is the coefficient of path adjustment, is a decimal, ensuring that logarithmic operations are valid. is the time adjustment factor, is the time-adjusted index, is the time-adjusted standardized coefficient; Based on the optimized navigation path and the scheduled departure time, dynamic identification information of the marine vessel is formulated and output.

6. A method for identifying ships leaving a dry dock for marine ship maintenance, characterized in that: The dry dock leaving ship identification system for marine vessel maintenance according to any one of claims 1 to 5 comprises the following steps: Receive audio input from the docking environment, perform fast Fourier transform, apply bandpass filter, exclude background noise, set energy threshold, identify key command parts, calculate average amplitude, and generate safety command data; Collect and integrate the safety instruction data and the input from the ship owner, maintenance team and dock manager, analyze the total resource requirements, calculate and output the total time of the schedule; Based on the total duration of the schedule, the ship priority score is calculated, resource allocation is dynamically adjusted, and the optimization scheduling plan is output by integrating with the existing dock operation plan; Based on the optimization scheduling scheme, deploy cameras, continuously record the surface status of the hull, calculate the cumulative amount of differences between image frames, identify and quantify subtle changes between each frame, evaluate ship vibration and position offset, and output evaluation results; According to the evaluation results, the stability of the hull structure is analyzed, potential maintenance problems of the ship are analyzed, the current ship structure stability score and maintenance warning score are calculated, maintenance preset thresholds are set for judgment, and ship maintenance warning information is generated; Based on the ship maintenance warning information combined with GPS, data fusion is performed to calculate the optimized navigation path and scheduled departure time, and the dynamic identification information of the marine ship is formulated and output.

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