A safety risk assessment system for cruise ship hull

Abstract

The present invention discloses a cruise ship hull safety risk assessment system, which specifically relates to the field of hull safety risk, including a hull area determination module: used to divide the target hull area into detection sub-areas according to random areas, and number each sub-area in the target hull area as 1, 2, ..., n in sequence; a sub-area data acquisition module: used to collect data from any sub-area, wherein the data collected includes the hull pressure fluctuation parameters of the sub-area of ​​the import module of the hull basic information, the sub-area wind force fluctuation parameters, the sub-area hull anti-corrosion fluctuation parameters, the sub-area detection biological fluctuation parameters, the sub-area hull hardness fluctuation parameters and the hull safety coefficient values ​​in previous years. The present invention judges the hull safety by the hull pressure fluctuation coefficient of the sub-area in the target hull sub-area, the sub-area wind force fluctuation coefficient, the sub-area hull anti-corrosion fluctuation coefficient, the sub-area detection biological fluctuation coefficient, and the sub-area hull hardness fluctuation coefficient, thereby ensuring the comprehensiveness of data use and further ensuring the rationality of hull safety.

Description

Technical Field

[0001] The present invention relates to the field of hull safety risks, and more specifically, to a cruise ship hull safety risk assessment system. Background Art

[0002] With the continuous development of navigation technology, the safety performance of cruise ship hulls is also facing many potential risk factors, such as fire, oil leakage, collision, etc. Most of the existing cruise ship hull safety risk assessment systems mainly use modern information technologies such as artificial intelligence, combined with navigation knowledge, to conduct real-time monitoring, precise control and system management of cruise ship hulls. In order to achieve the goal of cruise ship hull safety, it is necessary to optimize the cruise ship hull safety risk assessment system, timely discover and warn potential safety risk factors, and ensure the safety of cruise ship hulls.

[0003] At present, the traditional cruise ship hull safety risk assessment system mainly includes: sensor acquisition module, data analysis and processing module, risk judgment module and risk assessment report module; the sensor acquisition module mainly includes the detection of the hull in a stationary or driving state, and senses the temperature, air pressure, water level, sea conditions, hull trajectory, speed, wind direction, hull load, etc., which is used to accurately detect key hull parameters such as seawater density and meteorological conditions. It has low consumption, high precision and diversified data acquisition capabilities, and provides a large amount of data through the sensor acquisition module in different sea conditions. The data analysis and processing module uses human Artificial intelligence technology analyzes and processes the collected data to understand key information such as seawater density, meteorological conditions, hull quality, etc. By utilizing the data analysis and processing module, the safety performance of the cruise ship hull can be improved and the risk of the cruise ship hull can be reduced; the risk judgment module is based on the results of data analysis, and the system will automatically give the safety status of the cruise ship hull and provide solutions; risk assessment report module: provides users with a friendly operating interface, allowing users to view various data of the hull, seawater density, meteorological conditions, etc. in real time, making it more convenient for sailors to manage cruise ships, and the system provides safety risk reports of the cruise ship hull to sailors.

[0004] However, there are still some shortcomings in its actual use, such as: the data accuracy of the sensor acquisition module is not enough. Most traditional hull safety detection methods often judge whether it is necessary to conduct hull safety risk estimation based on factors such as seawater density and meteorological conditions. They mainly rely on the data sent back by the sensor for analysis, but the existing sensing technology cannot detect in real time, but rather detects within a period of time. As a result, there will be a time dislocation, causing large errors in the safety risk assessment; data analysis and processing module: traditional cruise ship hull safety risk assessment systems often only collect seawater density and meteorological conditions, and cannot judge the pressure of seawater on the hull at different parts of the hull at the same time. After data processing, the pressure caused in different parts will be the same, resulting in the inability to accurately grasp the hull safety risk assessment.

[0005] Therefore, there is an urgent need to provide a cruise ship hull safety risk assessment system to solve the problems of insufficient data accuracy, insufficient data breadth and fixed detection range in the existing cruise ship hull safety risk assessment system. Summary of the invention

[0006] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a cruise ship hull safety risk assessment system to solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above object, the present invention provides the following technical solution: a cruise ship hull safety risk assessment system, comprising:

[0008] The hull basic information import module is used to input the surface materials of each area of ​​the target hull and the information of the navigation manager into the system, where the navigation manager information includes face recognition and contact information;

[0009] Hull area determination module: used to divide the target hull area into detection sub-areas according to random areas, and number the sub-areas in the target hull area as 1, 2, ..., n in sequence;

[0010] Sub-area data collection module: used to collect data from any sub-area, where the collected data include the sub-area hull pressure fluctuation parameters, sub-area wind force fluctuation parameters, sub-area hull corrosion resistance fluctuation parameters, sub-area biological detection fluctuation parameters, sub-area hull hardness fluctuation parameters, and hull safety coefficient values ​​in previous years;

[0011] Sub-area data analysis and processing module: used to analyze and process the data collected in the sub-area acquisition module to obtain the sub-area hull pressure fluctuation coefficient value, the sub-area wind force fluctuation coefficient value, the sub-area hull corrosion resistance fluctuation coefficient value, the sub-area detection biological fluctuation coefficient value, and the sub-area hull hardness fluctuation coefficient value;

[0012] Sub-region comprehensive safety index calculation module: import the sub-region hull pressure fluctuation coefficient value, sub-region wind force fluctuation coefficient value, sub-region hull corrosion resistance fluctuation coefficient value, sub-region biological detection fluctuation coefficient value, and sub-region hull hardness fluctuation coefficient value into the sub-region comprehensive safety index mathematical model to obtain the sub-region comprehensive safety value;

[0013] Hull safety index calculation module: used to import the sub-region comprehensive safety coefficient value into the hull safety index mathematical model to obtain the hull safety value;

[0014] Hull safety risk identification module: used to accurately compare the hull safety value with the preset hull safety value during normal navigation, calculate the difference between the hull safety value and the preset hull safety value during normal navigation, and when the difference is greater than the preset difference, transmit the difference to the hull safety risk assessment and early warning module;

[0015] Hull safety risk assessment and early warning module: The received data is transmitted to the hull management personnel, who will make corresponding assessments and issue corresponding early warning reminders based on the received data early warning instructions.

[0016] Preferably, the method is used to collect data for any sub-area, wherein the collected data include sub-area hull pressure fluctuation parameters, sub-area wind fluctuation parameters, sub-area hull corrosion resistance fluctuation parameters, sub-area biological detection fluctuation parameters, sub-area hull hardness fluctuation parameters, and hull safety coefficient values ​​in previous years.

[0017] Preferably, the sub-region data acquisition module uses a marine hydraulic tester to perform a negative pressure test on the sub-region of the target hull region, wherein the marine hydraulic tester is model: SUP, and obtains the sub-region hull pressure fluctuation parameters, wherein the test parameters include the sub-region start pressure, the sub-region terminal pressure and the sub-region seawater flow rate, which are respectively recorded as , ; The sub-region wind force fluctuation parameters include the wind speed of the sub-region, denoted as The corrosive fluctuation parameters of the sub-region include the hull surface corrosion area of ​​the sub-region, recorded as ; The sub-region detection biological fluctuation parameters include the volume of the organism, recorded as ; The hardness fluctuation parameter of the sub-region hull includes the impact force of the waves on the sub-region, recorded as .

[0018] Preferably, the sub-area data analysis and processing module includes a sub-area hull pressure fluctuation coefficient calculation unit, a sub-area wind force fluctuation coefficient calculation unit, a sub-area hull corrosion resistance fluctuation coefficient calculation unit, a sub-area detection biological fluctuation coefficient calculation unit, and a sub-area hull hardness fluctuation coefficient calculation unit, the sub-area hull pressure fluctuation coefficient calculation unit is used to import the sub-area hull pressure fluctuation parameters into the mathematical model of the sub-area hull pressure fluctuation coefficient to obtain the sub-area hull pressure fluctuation coefficient value; the sub-area wind force fluctuation coefficient calculation unit is used to import the sub-area wind force fluctuation parameters into the mathematical model of the sub-area wind force fluctuation coefficient In the model, the sub-area wind fluctuation coefficient value is obtained; the sub-area hull corrosion resistance fluctuation coefficient calculation unit is used to import the sub-area hull corrosion resistance fluctuation parameters into the mathematical model of the sub-area hull corrosion resistance fluctuation coefficient, and obtain the sub-area hull corrosion resistance fluctuation coefficient value; the sub-area detection biological fluctuation coefficient calculation unit is used to import the sub-area detection biological fluctuation parameters into the mathematical model of the sub-area detection biological fluctuation coefficient, and obtain the sub-area detection biological fluctuation coefficient value; the sub-area hull hardness fluctuation coefficient calculation unit is used to import the sub-area hull hardness fluctuation parameters into the mathematical model of the sub-area hull hardness fluctuation coefficient, and obtain the sub-area hull hardness fluctuation coefficient value.

[0019] Preferably, the mathematical model of the hull pressure fluctuation coefficient of any sub-region is specifically: ,in ,in It is represented by the influencing factor of the hull pressure in the sub-region, i=1,2,...,n, i represents the number of the i-th detection sub-region; the mathematical model of the wind fluctuation coefficient of any sub-region is: Where k represents the environmental factor, is the wind saturation value of the hull in the preset sub-area, i=1,2,...,n, i represents the number of the i-th detection sub-area; the mathematical model of the corrosion resistance fluctuation coefficient of the hull in any sub-area is: , where S represents the area of ​​the hull intact, i=1,2,...,n, i represents the number of the i-th detection sub-area; the mathematical model of the biological fluctuation coefficient of any sub-area detection is: , where V represents the volume of the detected organism, i=1,2,...,n, and i represents the number of the i-th detection sub-area; the mathematical model of the hull hardness fluctuation coefficient of any sub-area is: , where F represents the preset force saturation value of the hull, and i=1,2,...,n, where i represents the number of the i-th detection sub-area.

[0020] Preferably, the sub-region comprehensive safety value is obtained in the following manner: ,in ,in is the comprehensive safety degree of the sub-region, is the actual required value of the sub-region comprehensive hull risk, is the average of the comprehensive hull risk inspection data of the sub-region in previous years, and They respectively represent the influencing factors of the comprehensive safety degree of the sub-area and the influencing factors of the actual required value of the comprehensive hull risk of the sub-area, where i=1,2,...,n, and i represents the number of the i-th detection sub-area.

[0021] Preferably, the hull safety value is obtained in the following manner: , where T is the safety value of the hull, ,in is the mean value of the hull safety detection, where i=1,2,...,n, and i represents the number of the i-th detection sub-area.

[0022] Technical effects and advantages of the present invention:

[0023] The present invention determines the safety of the hull by setting the hull pressure fluctuation coefficient, the wind force fluctuation coefficient, the corrosion resistance fluctuation coefficient, the biological detection fluctuation coefficient and the hull hardness fluctuation coefficient of each sub-area of ​​the target hull, thereby ensuring the comprehensiveness of data use and further ensuring the rationality of the hull safety risk assessment.

[0024] The present invention collects data on the target hull area, and can involve data application of small cruise ships, medium-sized cruise ships and large luxury cruise ships, etc., which is comprehensive and greatly expands the detection range;

[0025] The present invention performs negative pressure testing and sonar feedback on the target hull, and analyzes the safety risk test status of the hull, thereby effectively avoiding damage problems, being able to better reflect the detection situation, and further improving the reliability and rationality of the evaluation data. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is the overall flow chart of the present invention. DETAILED DESCRIPTION

[0027] 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.

[0028] As attached Figure 1A cruise ship hull safety risk assessment system shown in the figure includes a hull basic information import module, a hull area determination module, a sub-area data acquisition module, a sub-area data analysis and processing module, a sub-area comprehensive safety index calculation module, a hull safety index calculation module, a hull safety risk identification module and a safety risk assessment and early warning module.

[0029] The input end of the hull area determination module is intelligently connected to the output end of the sub-area data acquisition module, the input end of the sub-area data acquisition module is intelligently connected to the output end of the sub-area data analysis and processing module, the input end of the sub-area data analysis and processing module is intelligently connected to the output end of the sub-area comprehensive safety index calculation module, the input end of the sub-area comprehensive safety index calculation module is intelligently connected to the output end of the hull safety index calculation module, the input end of the hull safety index calculation module is intelligently connected to the output end of the hull safety risk identification module, and the input end of the hull safety risk identification module is intelligently connected to the output end of the safety risk assessment and early warning module.

[0030] The module for importing basic hull information is used to input the surface material of each area of ​​the target hull and the information of the navigation manager into the system, wherein the information of the navigation manager includes face recognition and contact information.

[0031] The hull area determination module is used to divide the target hull area into detection sub-areas according to random areas, and number the sub-areas in the target hull area as 1, 2, ..., n in sequence.

[0032] The sub-area data collection module is used to collect data from any sub-area, wherein the collected data include sub-area hull pressure fluctuation parameters, sub-area wind fluctuation parameters, sub-area hull corrosion resistance fluctuation parameters, sub-area biological detection fluctuation parameters, sub-area hull hardness fluctuation parameters, and hull safety coefficient values ​​in previous years.

[0033] In this embodiment, it is specifically necessary to explain that in the sub-area data acquisition module, a marine hydraulic tester is used to perform a negative pressure test on the sub-area of ​​the target hull area, wherein the marine hydraulic tester is model: SUP, and the sub-area hull pressure fluctuation parameters are obtained, wherein the test parameters include the sub-area starting pressure, the sub-area terminal pressure and the sub-area seawater flow rate, respectively recorded as , ; The sub-region wind force fluctuation parameters include the wind speed of the sub-region, denoted as The corrosive fluctuation parameters of the sub-region include the hull surface corrosion area of ​​the sub-region, recorded as ; The sub-region detection biological fluctuation parameters include the volume of the organism, recorded as ; The hardness fluctuation parameter of the sub-region hull includes the impact force of the waves on the sub-region, recorded as .

[0034] The sub-area data analysis and processing module is used to analyze and process the data collected in the sub-area acquisition module to obtain the sub-area hull pressure fluctuation coefficient value, sub-area wind fluctuation coefficient value, sub-area hull corrosion resistance fluctuation coefficient value, sub-area detection biological fluctuation coefficient value, and sub-area hull hardness fluctuation coefficient value.

[0035] In this embodiment, it is specifically necessary to explain that the data analysis and processing module of the sub-area includes a hull pressure fluctuation coefficient calculation unit for the sub-area, a wind fluctuation coefficient calculation unit for the sub-area, a hull corrosion resistance fluctuation coefficient calculation unit for the sub-area, a biological detection fluctuation coefficient calculation unit for the sub-area, and a hull hardness fluctuation coefficient calculation unit for the sub-area. The hull pressure fluctuation coefficient calculation unit for the sub-area is used to import the hull pressure fluctuation parameters of the sub-area into the mathematical model of the hull pressure fluctuation coefficient of the sub-area to obtain the hull pressure fluctuation coefficient value of the sub-area; the wind fluctuation coefficient calculation unit for the sub-area is used to import the wind fluctuation parameters of the sub-area into the mathematical model of the hull pressure fluctuation coefficient of the sub-area The sub-region wind force fluctuation coefficient value is obtained from the mathematical model of the coefficient; the sub-region hull corrosion resistance fluctuation coefficient calculation unit is used to import the sub-region hull corrosion resistance fluctuation parameters into the mathematical model of the sub-region hull corrosion resistance fluctuation coefficient, and obtain the sub-region hull corrosion resistance fluctuation coefficient value; the sub-region detection biological fluctuation coefficient calculation unit is used to import the sub-region detection biological fluctuation parameters into the mathematical model of the sub-region detection biological fluctuation coefficient, and obtain the sub-region detection biological fluctuation coefficient value; the sub-region hull hardness fluctuation coefficient calculation unit is used to import the sub-region hull hardness fluctuation parameters into the mathematical model of the sub-region hull hardness fluctuation coefficient, and obtain the sub-region hull hardness fluctuation coefficient value.

[0036] It should be specifically explained in this embodiment that the mathematical model of the hull pressure fluctuation coefficient of any sub-region is specifically: ,in ,in It is represented by the influencing factor of the hull pressure in the sub-region, i=1,2,...,n, i represents the number of the i-th detection sub-region; the mathematical model of the wind fluctuation coefficient of any sub-region is: Where k represents the environmental factor, is the wind saturation value of the hull in the preset sub-area, i=1,2,...,n, i represents the number of the i-th detection sub-area; the mathematical model of the corrosion resistance fluctuation coefficient of the hull in any sub-area is: , where S represents the area of ​​the hull intact, i=1,2,...,n, i represents the number of the i-th detection sub-area; the mathematical model of the biological fluctuation coefficient of any sub-area detection is: , where V represents the volume of the detected organism, i=1,2,...,n, and i represents the number of the i-th detection sub-area; the mathematical model of the hull hardness fluctuation coefficient of any sub-area is: , where F represents the preset force saturation value of the hull, and i=1,2,...,n, where i represents the number of the i-th detection sub-area.

[0037] The sub-area comprehensive safety index calculation module is used to import the sub-area hull pressure fluctuation coefficient value, the sub-area wind fluctuation coefficient value, the sub-area hull corrosion resistance fluctuation coefficient value, the sub-area detection biological fluctuation coefficient value, and the sub-area hull hardness fluctuation coefficient value into the sub-area comprehensive safety index mathematical model to obtain the sub-area comprehensive safety value.

[0038] In this embodiment, it should be specifically noted that the specific method for obtaining the value of the sub-region comprehensive safety degree is: ,in ,in is the comprehensive safety degree of the sub-region, is the actual required value of the sub-region comprehensive hull risk, is the average of the comprehensive hull risk inspection data of the sub-region in previous years, and They respectively represent the influencing factors of the comprehensive safety degree of the sub-area and the influencing factors of the actual required value of the comprehensive hull risk of the sub-area, where i=1,2,...,n, and i represents the number of the i-th detection sub-area.

[0039] The hull safety index calculation module is used to import the sub-region comprehensive safety coefficient value into the hull safety index mathematical model to obtain the hull safety value.

[0040] In this embodiment, it should be specifically explained that the specific method for obtaining the hull safety value is: , where T is the safety value of the hull, ,in is the mean value of the hull safety detection, where i=1,2,...,n, and i represents the number of the i-th detection sub-area.

[0041] The hull safety risk identification module is used to accurately compare the hull safety value with the preset hull safety value during normal navigation, calculate the difference between the hull safety value and the preset hull safety value during normal navigation, and when the difference is greater than the preset difference, transmit the difference to the hull safety risk assessment and early warning module.

[0042] In this embodiment, it should be specifically explained that the preset hull safety value is the average of the hull safety in previous years, where the average removes the maximum and minimum values, and the maximum and minimum values ​​are both extreme values ​​of external factors. The preset difference value is the difference between the theoretical hull safety and the actual hull safety.

[0043] The hull safety risk assessment and early warning module is used to transmit the received data to the hull management personnel, who will make corresponding assessments and, at the same time, give corresponding early warning reminders according to the received data early warning instructions.

[0044] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures involved in the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be used in combination; Finally: The above description is only the preferred embodiment of the present invention and is not used to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A cruise ship hull safety risk assessment system, The invention comprises, characterized in that: The hull basic information import module is used to input the surface materials of each area of ​​the target hull and the information of the navigation manager into the system, where the navigation manager information includes face recognition and contact information; Hull area determination module: used to divide the target hull area into detection sub-areas according to random areas, and number the sub-areas in the target hull area as 1, 2, ..., n in sequence; Sub-area data collection module: used to collect data from any sub-area, where the collected data include the sub-area hull pressure fluctuation parameters, sub-area wind force fluctuation parameters, sub-area hull corrosion resistance fluctuation parameters, sub-area biological detection fluctuation parameters, sub-area hull hardness fluctuation parameters, and hull safety coefficient values ​​in previous years; Sub-area data analysis and processing module: used to analyze and process the data collected in the sub-area acquisition module to obtain the sub-area hull pressure fluctuation coefficient value, the sub-area wind force fluctuation coefficient value, the sub-area hull corrosion resistance fluctuation coefficient value, the sub-area detection biological fluctuation coefficient value, and the sub-area hull hardness fluctuation coefficient value; Sub-region comprehensive safety index calculation module: import the sub-region hull pressure fluctuation coefficient value, sub-region wind force fluctuation coefficient value, sub-region hull corrosion resistance fluctuation coefficient value, sub-region biological detection fluctuation coefficient value, and sub-region hull hardness fluctuation coefficient value into the sub-region comprehensive safety index mathematical model to obtain the sub-region comprehensive safety value; Hull safety index calculation module: used to import the sub-region comprehensive safety coefficient value into the hull safety index mathematical model to obtain the hull safety value; Hull safety risk identification module: used to accurately compare the hull safety value with the preset hull safety value during normal navigation, calculate the difference between the hull safety value and the preset hull safety value during normal navigation, and when the difference is greater than the preset difference, transmit the difference to the hull safety risk assessment and early warning module; Hull safety risk assessment and early warning module: transmits the received data to the hull management personnel, who will make corresponding assessments and issue corresponding early warning reminders based on the received data early warning instructions; The mathematical model of the hull pressure fluctuation coefficient of any sub-region is specifically: Where Δp represents the error value of the pressure allowed in the preset sub-area hull during the test, ε1 represents the influencing factor of the sub-area hull pressure, i=1,2,...,n,i represents the number of the i-th detection sub-area; the mathematical model of the wind force fluctuation coefficient of any sub-area is: Where k represents the environmental factor, f is the wind saturation value of the hull in the preset sub-area, i = 1, 2, ..., n, i represents the number of the i-th detection sub-area; the mathematical model of the corrosion resistance fluctuation coefficient of the hull in any sub-area is: Where S represents the area of ​​the hull intact, i = 1, 2, ..., n, i represents the number of the i-th detection sub-area; the mathematical model of the biological fluctuation coefficient of any sub-area detection is: Where V represents the volume of the detected organism, i = 1, 2, ..., n, i represents the number of the i-th detection sub-area; the mathematical model of the hull hardness fluctuation coefficient of any sub-area is: Where F represents the preset saturation force value of the hull, where i = 1, 2, ..., n, i represents the number of the i-th detection sub-area; The specific method for obtaining the sub-region comprehensive safety value is as follows: in where ξ i is the comprehensive safety degree of the sub-region, is the actual required value of the sub-region comprehensive hull risk, ψ is the average of the sub-region comprehensive hull risk detection data in previous years, τ and γ represent the influencing factor of the sub-region comprehensive safety and the influencing factor of the actual required value of the sub-region comprehensive hull risk, respectively, where i = 1, 2, ..., n, i represents the number of the i-th detection sub-region; The specific method for obtaining the hull safety value is as follows: Where T is the safety value of the hull, Where μ is the mean value of the hull safety detection, where i = 1, 2, ..., n, i represents the number of the i-th detection sub-area.

2. A cruise ship hull safety risk assessment system according to claim 1, characterized in that: The method is used to collect data for any sub-area, wherein the collected data include sub-area hull pressure fluctuation parameters, sub-area wind fluctuation parameters, sub-area hull corrosion resistance fluctuation parameters, sub-area biological detection fluctuation parameters, sub-area hull hardness fluctuation parameters, and hull safety coefficient values ​​in previous years.

3. A cruise ship hull safety risk assessment system according to claim 2, characterized in that: In the sub-area data acquisition module, a marine hydraulic testing machine is used to perform a negative pressure test on the sub-area of ​​the target hull area to obtain the sub-area hull pressure fluctuation parameters, wherein the test parameters include the sub-area starting pressure, the sub-area terminal pressure and the sub-area seawater flow rate, respectively recorded as p1 and p2; the sub-area wind force fluctuation parameters include the wind speed of the sub-area, recorded as v1; the sub-area hull corrosion fluctuation parameters include the hull surface corrosion area of ​​the sub-area, recorded as S1; the sub-area detection biological fluctuation parameters include the volume of the organism, recorded as v2; the sub-area hull hardness fluctuation parameters include the impact force of waves on the sub-area, recorded as F.

4. A cruise ship hull safety risk assessment system according to claim 1, characterized in that: The sub-area data analysis and processing module includes a sub-area hull pressure fluctuation coefficient calculation unit, a sub-area wind force fluctuation coefficient calculation unit, a sub-area hull corrosion resistance fluctuation coefficient calculation unit, a sub-area biological detection fluctuation coefficient calculation unit, and a sub-area hull hardness fluctuation coefficient calculation unit. The sub-area hull pressure fluctuation coefficient calculation unit is used to import the sub-area hull pressure fluctuation parameters into the mathematical model of the sub-area hull pressure fluctuation coefficient to obtain the sub-area hull pressure fluctuation coefficient value; the sub-area wind force fluctuation coefficient calculation unit is used to import the sub-area wind force fluctuation parameters into the mathematical model of the sub-area wind force fluctuation coefficient. The sub-region wind fluctuation coefficient value is obtained; the sub-region hull corrosion resistance fluctuation coefficient calculation unit is used to import the sub-region hull corrosion resistance fluctuation parameters into the mathematical model of the sub-region hull corrosion resistance fluctuation coefficient, and obtain the sub-region hull corrosion resistance fluctuation coefficient value; the sub-region detection biological fluctuation coefficient calculation unit is used to import the sub-region detection biological fluctuation parameters into the mathematical model of the sub-region detection biological fluctuation coefficient, and obtain the sub-region detection biological fluctuation coefficient value; the sub-region hull hardness fluctuation coefficient calculation unit is used to import the sub-region hull hardness fluctuation parameters into the mathematical model of the sub-region hull hardness fluctuation coefficient, and obtain the sub-region hull hardness fluctuation coefficient value.

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