Underwater anti-collision waterproof ship data detection and collection device
By comprehensively utilizing propellers, water flow velocity sensors, pressure sensors, hydrophones, and vibration acceleration sensors, combined with multiple linear regression analysis, the misjudgment problem in existing ship collision and waterproofing detection technologies has been solved, enabling a comprehensive and accurate assessment of ship condition and dynamic adaptability detection.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-29
- Publication Date
- 2026-03-24
AI Technical Summary
Existing ship data detection and acquisition devices lack methods that comprehensively consider multiple factors and can analyze their correlations, leading to easy misjudgments in pressure, vibration, and underwater acoustic signal detection, and making it impossible to comprehensively and accurately assess the ship's collision and waterproof performance.
The system employs propeller, water flow velocity sensor, pressure sensor, hydrophone, and vibration acceleration sensor, combined with data acquisition, processing, and evaluation modules. It comprehensively assesses the ship's condition using multiple linear regression analysis and dynamically adjusts weighted features to improve detection accuracy.
It enables a comprehensive and accurate assessment of a ship's collision and waterproof status, and can sensitively capture subtle changes in complex underwater environments, improving the comprehensiveness and dynamic adaptability of the detection.
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Figure CN120724413B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of ship data detection and collection, in particular to an underwater anti-collision and waterproof ship data detection and collection device. BACKGROUND
[0002] With the increasing application of underwater ships in various complex environments, the monitoring of their anti-collision and waterproof performance becomes crucial. Some existing ship data detection and collection devices often focus on the measurement of a single physical quantity or the separate evaluation of anti-collision and waterproof performance, lacking an effective method that comprehensively considers multiple factors and can be correlated and analyzed.
[0003] In practical applications, if only pressure parameters are used to determine the state of a ship, the water flow factors will cause natural fluctuations in pressure, making it easy to misjudge the collision or damage to the waterproof structure based solely on pressure thresholds. In addition, separate vibration detection can only effectively feedback when the ship experiences significant vibration, but it is difficult to accurately capture and judge slight vibrations caused by minor collisions or gradual damage to the waterproof structure, and it cannot be directly linked to the impact on waterproof performance. Furthermore, the underwater environment is complex and variable, and if only water sound signal strength is used to determine the anti-collision and waterproof state of a ship, it is easy to be disturbed by other irrelevant noise sources, leading to misjudgment.
[0004] Moreover, although multiple physical quantity data are collected in the prior art, the parameters are relatively isolated and cannot fully utilize the advantages of multi-parameter comprehensive analysis in improving detection accuracy and reliability. SUMMARY
[0005] The present application aims to provide an underwater anti-collision and waterproof ship data detection and collection device that solves the problems raised in the background.
[0006] To achieve the above-mentioned purpose, the present application provides the following technical solution, which includes a ship body, the outer part of the ship body is respectively provided with a propeller, a water flow velocity sensor, a pressure sensor, and a hydrophone, and the shaft part of the propeller is provided with a vibration acceleration sensor;
[0007] The ship body is internally provided with a detection and collection device, and the inside of the detection and collection device is connected with a data collection module, a data processing module, an evaluation and feedback module, and an experiment and collection storage module;
[0008] The data collection module is used to collect and acquire the water flow velocity sensor, the pressure sensor, the hydrophone, and the vibration acceleration sensor detection and transmission of the water sensing detection information in real time;
[0009] The experiment and collection storage module is configured to extract weight influence information and abnormal threshold characteristics obtained according to the underwater sensing detection information during the test phase;
[0010] The data processing module is configured to receive the underwater sensing detection information, the weight influence information and the abnormal threshold characteristics;
[0011] According to the underwater sensing detection information and the weight influence information, a pressure comprehensive influence characteristic is obtained;
[0012] According to the underwater sensing detection information and the pressure comprehensive influence characteristic, a pressure weight characteristic is obtained;
[0013] According to the pressure weight characteristic and the underwater sensing detection information, a collision and water-proof comprehensive evaluation characteristic is obtained;
[0014] The evaluation feedback module is configured to obtain and judge a comparison judgment result of the water-proof comprehensive evaluation characteristic and the abnormal threshold characteristic, and adjust the weight influence information by the data processing module according to the comparison judgment result.
[0015] Optionally, output ends of the water flow speed sensor, the pressure sensor, the hydrophone and the vibration acceleration sensor are connected with input ends of the data collection module;
[0016] The underwater sensing detection information includes pressure characteristics, water flow speed characteristics, vibration acceleration amplitude characteristics and underwater acoustic signal intensity characteristics;
[0017] The water flow speed sensor is configured to obtain the water flow speed characteristics;
[0018] The pressure sensor is configured to obtain the pressure characteristics;
[0019] The hydrophone is configured to obtain the underwater acoustic signal intensity characteristics;
[0020] The vibration acceleration sensor is configured to obtain the vibration acceleration amplitude characteristics.
[0021] Optionally, the data processing module includes a pressure state reflecting unit, a ship state reflecting unit, an anti-collision and water-proof state evaluating unit and a weight adjusting unit;
[0022] The weight influence information includes first weight characteristics, second weight characteristics, third weight characteristics, fourth weight characteristics and fifth weight characteristics.
[0023] Optionally, the pressure state reflecting unit is configured to obtain a first influence characteristic of water flow speed on pressure according to the first weight characteristics and the water flow speed characteristics;
[0024] Based on the second weighting feature and the vibration acceleration amplitude feature, the second influence feature of vibration acceleration on pressure is obtained;
[0025] The pressure feature, the first influence feature, and the second influence feature are added together to obtain the comprehensive pressure influence feature;
[0026] The pressure characteristic introduced by the pressure state reflection unit is the initial pressure of the ship when it is not subjected to external water flow impact or vibration.
[0027] Optionally, the ship status unit obtains the pressure change rate based on the adjacent current and previous pressure characteristics;
[0028] Based on the pressure change rate and the comprehensive pressure influence characteristics, a third influence characteristic of the impact of pressure change on pressure weight is obtained;
[0029] Based on the third weighting feature and the underwater acoustic signal intensity feature, a fourth influence feature on the effect of underwater acoustic signal intensity on pressure weight is obtained;
[0030] The pressure weight feature is obtained by adding the third influence feature and the fourth influence feature.
[0031] Optionally, the unit for evaluating the impact and waterproof status obtains a fifth influence feature of the pressure weight on the comprehensive evaluation based on the pressure weight feature and the fourth weight feature;
[0032] Based on the comprehensive pressure influence characteristics and the pressure characteristics, the relative characteristics of pressure changes are obtained;
[0033] Based on the relative characteristics of pressure change and the fifth weighting characteristic, the sixth influence characteristic of the impact of relative pressure change on the comprehensive evaluation is obtained;
[0034] The fifth and sixth influencing features are added together to obtain the comprehensive evaluation features for impact resistance and waterproofing.
[0035] Optionally, based on the vibration acceleration amplitude characteristics, the water flow velocity characteristics, and the pressure change rate, and using linear regression analysis, the value range of the first weighted feature {0-5} and the value range of the second weighted feature {0-3} are obtained respectively.
[0036] Based on the pressure characteristics, the pressure change rate, the underwater acoustic signal intensity characteristics, and the comprehensive evaluation characteristics for anti-collision and waterproofing, and using multiple linear regression analysis, the value range of the third weighting characteristic is obtained as {0-10}.
[0037] Based on the pressure weight feature, the pressure feature, the pressure comprehensive influence feature, and the anti-collision and waterproof comprehensive evaluation feature, and using the multiple linear regression analysis method, the value range of the fourth weight feature {0-5} and the value range of the fifth weight feature {-5-5} are obtained respectively.
[0038] Optionally, the data processing module simulates the ship's main body in different operating states during the test phase and obtains the launching sensor detection information in different operating states;
[0039] Based on the water sensor detection information under different operating conditions, obtain the comprehensive evaluation characteristics of anti-collision and waterproofing under different operating conditions;
[0040] Based on the comprehensive evaluation characteristics of anti-collision and waterproofing under different operating conditions, the average characteristics and standard deviation characteristics of the comprehensive evaluation are obtained.
[0041] The anomaly threshold feature is obtained based on the comprehensive evaluation average feature and the comprehensive evaluation standard deviation feature;
[0042] If the comprehensive evaluation standard deviation feature is lower than or equal to the anomaly threshold feature, the comparison judgment result is negative, and the first weight feature and the second weight feature are maintained.
[0043] If the comprehensive evaluation standard deviation feature is higher than the anomaly threshold feature, then the comparison judgment result is yes, and the first weight feature and the second weight feature are adjusted.
[0044] Optionally, the weight adjustment unit obtains the evaluation difference feature based on the difference between the comprehensive evaluation standard deviation feature and the anomaly threshold feature;
[0045] Based on the evaluation difference characteristics and the first weight characteristics, the adjusted first weight characteristics are obtained;
[0046] Based on the evaluation difference features and the second weight features, the adjusted second weight features are obtained.
[0047] Optionally, the propeller is mounted on one side surface of the hull of the vessel;
[0048] The water flow velocity sensor is installed on the surface of the ship's hull that is away from and opposite to the propeller;
[0049] The pressure sensor and the hydrophone are both mounted on the same symmetrical surface of the ship's hull, which is different from the propeller and the water flow velocity sensor.
[0050] Compared with the prior art, the beneficial effects of the present invention are as follows:
[0051] In the process of obtaining the comprehensive influence characteristics of pressure, this invention introduces the water flow velocity characteristics sensed by a water flow velocity sensor and the vibration acceleration amplitude characteristics sensed by a vibration acceleration sensor. The first weighted feature and the second weighted feature are weighted together, which makes the pressure detection and acquisition comprehensively consider a variety of actual factors that may affect the pressure, thereby more accurately reflecting the different real pressure states of the ship under water flow velocity and vibration conditions.
[0052] The pressure weighting feature obtained by adding the third and fourth influence features organically combines the dynamic change characteristics of pressure with the intensity of underwater acoustic signals. This allows the assessment results to reflect both the rapid pressure changes caused by collisions and the changes in underwater acoustic signals caused by changes in the anti-collision and waterproofing structures, thereby improving the comprehensiveness and accuracy of the ship's condition assessment.
[0053] Finally, by adding the fifth and sixth influencing features, a comprehensive assessment feature for collision and waterproofing was obtained as a comprehensive indicator. This comprehensive assessment feature for collision and waterproofing takes into account various pressure-related factors and relative pressure changes, and can more accurately determine the current collision and waterproofing status of the ship.
[0054] Meanwhile, when the comprehensive evaluation features for collision protection and waterproofing exceed the set abnormal threshold features, the first and second weight features can be dynamically adjusted, enabling the detection and acquisition device to automatically optimize and evaluate based on the ship's current actual condition. Attached Figure Description
[0055] Figure 1 This is a front view of the main body of the vessel according to the present invention;
[0056] Figure 2 This is a schematic diagram of the detection process of the data detection and acquisition device for this ship;
[0057] Figure 3 For the present invention Figure 1 Enlarged view of point A in the middle;
[0058] Figure 4 For the present invention Figure 1 Enlarged view of point A1 in the middle;
[0059] Figure 5 For the present invention Figure 1 Enlarged view of point A2 in the middle;
[0060] Figure 6 This is a rear view of the main body of the vessel according to the present invention.
[0061] In the diagram: 1-Main body of the ship, 2-Propeller, 3-Water flow velocity sensor, 4-Pressure sensor, 5-Hydrophone. Detailed Implementation
[0062] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0063] Regarding this ship data detection and acquisition device, it differs from existing ship data detection and acquisition devices, which suffer from a lack of effective integration due to the limitations of single parameter detection.
[0064] The ship data detection and acquisition device of this algorithm unit comprehensively and accurately assesses the ship's status by considering multiple factors, thereby forming a comprehensive evaluation index and dynamic adjustment mechanism.
[0065] Example 1, please refer to Figures 1 to 6 This embodiment provides an underwater anti-collision and waterproof ship data detection and acquisition device, including a ship body 1. A propeller 2, a water flow velocity sensor 3, a pressure sensor 4 and a hydrophone 5 are respectively installed on the outside of the ship body 1. A vibration acceleration sensor is installed on the shaft of the propeller 2.
[0066] The propeller 2 is mounted on one side surface of the ship's hull 1;
[0067] The water flow velocity sensor 3 is installed on the surface of the ship's hull 1 on the opposite side from the propeller 2;
[0068] Pressure sensor 4 and hydrophone 5 are both mounted on the same symmetrical surface of the ship's hull 1, which is different from the propeller 2 and the water flow velocity sensor 3.
[0069] The ship's main body 1 is equipped with a detection and acquisition device, which is internally connected to a data acquisition module, a data processing module, an evaluation feedback module, and an experimental and data storage module.
[0070] The data acquisition module is used to collect and acquire in real time the water flow velocity sensor 3, pressure sensor 4, hydrophone 5 and vibration acceleration sensor transmitted water sensing information;
[0071] The output terminals of the water flow velocity sensor 3, pressure sensor 4, hydrophone 5, and vibration acceleration sensor are all connected to the input terminal of the data acquisition module;
[0072] The water sensor detection information includes pressure characteristics, water flow velocity characteristics, vibration acceleration amplitude characteristics, and underwater acoustic signal intensity characteristics;
[0073] Water flow velocity sensor 3 is used to acquire water flow velocity characteristics;
[0074] Pressure sensor 4 is used to acquire pressure characteristics;
[0075] Hydrophone 5 is used to acquire the intensity characteristics of underwater acoustic signals;
[0076] Vibration acceleration sensors are used to acquire the amplitude characteristics of vibration acceleration;
[0077] The experiment and data acquisition and storage module is used to extract the weighted influence information and abnormal threshold features obtained from the water sensor detection information during the experiment phase;
[0078] The data processing module is used to receive water sensor detection information, weighted influence information, and abnormal threshold characteristics;
[0079] Based on the water sensor detection information and weighted influence information, the comprehensive pressure influence characteristics are obtained;
[0080] Based on the water flow sensor detection information and the comprehensive influence characteristics of pressure, pressure weight characteristics are obtained;
[0081] Based on the pressure weight characteristics and water-sensing detection information, obtain the comprehensive evaluation characteristics for impact resistance and waterproofing;
[0082] The data processing module includes a pressure status unit, a ship status unit, a collision and waterproof status assessment unit, and a weight adjustment unit.
[0083] The weighting influence information includes the first weighting feature, the second weighting feature, the third weighting feature, the fourth weighting feature, and the fifth weighting feature;
[0084] The evaluation feedback module is used to obtain and judge the comparison and judgment results of the comprehensive waterproof evaluation characteristics and the abnormal threshold characteristics, and the data processing module adjusts the weight influence information according to the comparison and judgment results.
[0085] In this embodiment, the water flow velocity sensor 3, vibration acceleration sensor and hydrophone 5 collect the water flow sensing and detection information, which provides comprehensive and accurate parameter input for the detection and acquisition device.
[0086] Among them, the pressure comprehensive influence feature integrates multiple data to calculate pressure, avoiding the limitations of single parameter judgment and improving the accuracy of pressure detection. The pressure weight feature integrates pressure dynamics and underwater acoustic signals to enhance the ability to capture subtle changes in the ship's state. Furthermore, the comprehensive assessment features of collision and waterproofing obtained from the collision and waterproofing status assessment unit achieve the goal of comprehensively and quantitatively assessing the ship's collision and waterproofing status.
[0087] Based on the comparison and judgment results of the comprehensive evaluation features of anti-collision and waterproofing and the abnormal threshold features, the first weight feature and the second weight feature are adjusted so that the entire device can adapt to changes in the ship's state, thereby effectively improving the comprehensiveness, accuracy and dynamic adaptability of underwater anti-collision and waterproof ship data detection and acquisition.
[0088] Please see Figure 2 The pressure state unit obtains the first influence feature of water flow velocity on pressure based on the first weight feature and the water flow velocity feature.
[0089] Based on the second weighting feature and the vibration acceleration amplitude feature, the second influence feature of vibration acceleration on pressure is obtained;
[0090] The pressure characteristics, the first impact characteristics, and the second impact characteristics are added together to obtain the comprehensive pressure impact characteristics.
[0091] Among them, the pressure characteristics introduced by the pressure state unit are the initial pressure of the ship when it is not subjected to external water flow impact or vibration.
[0092] In this embodiment, the calculation formula for the comprehensive influence characteristics of pressure is as follows:
[0093] ;
[0094] in:
[0095] Y represents the comprehensive influence characteristics of pressure, and Y0 represents the pressure characteristics;
[0096] q1 is the first weighted feature reflecting the influence of water flow velocity on pressure, and q2 is the second weighted feature reflecting the influence of vibration acceleration on pressure. Based on the vibration acceleration amplitude feature, water flow velocity feature and pressure change rate, and using linear regression analysis, the value range of the first weighted feature is obtained as {0-5} and the value range of the second weighted feature is obtained as {0-3}.
[0097] VS represents the water flow velocity characteristic, and ZF represents the vibration acceleration amplitude characteristic;
[0098] The result is the first influencing feature. The result is the second influencing feature.
[0099] In actual underwater navigation, changes in water flow velocity and the ship's own vibrations both affect the pressure exerted on the hull. This is determined by adding a first influence characteristic to the pressure characteristic Y0. Second Influence Characteristics It can more accurately reflect the real pressure state of a ship under various complex operating conditions.
[0100] Please see Figure 2This reflects the pressure change rate obtained by the ship's state unit based on the adjacent current and previous pressure characteristics;
[0101] Based on the pressure change rate and the comprehensive influence characteristics of pressure, the third influence characteristic of the impact of pressure change on pressure weight is obtained;
[0102] Based on the third weighting feature and the underwater acoustic signal intensity feature, the fourth influence feature of the underwater acoustic signal intensity on the pressure weight is obtained.
[0103] Add the third and fourth impact features to obtain the pressure weight feature;
[0104] In this embodiment, the formula for calculating the pressure weight feature is as follows:
[0105] ;
[0106] in:
[0107] YQ represents the pressure weighting characteristic, and YB represents the pressure change rate.
[0108] q3 is the third weighting feature that reflects the influence of underwater acoustic signal intensity on pressure weight. Based on pressure characteristics, pressure change rate, underwater acoustic signal intensity characteristics and comprehensive anti-collision and waterproof evaluation characteristics, and using multiple linear regression analysis, the value range of the third weighting feature is obtained as {0-10}.
[0109] SQ represents the intensity characteristics of underwater acoustic signals;
[0110] The result is the third influence characteristic. The result is the fourth influencing characteristic.
[0111] In practice, changes in a ship's anti-collision and waterproofing structure often simultaneously cause changes in pressure and generate specific changes in underwater acoustic signals. The calculation can comprehensively reflect these changes, making the assessment results more comprehensive in covering various ship status information, and avoiding the one-sidedness and inaccuracy caused by relying on a single parameter for detection.
[0112] Please see Figure 2 The impact characteristics of the anti-collision and waterproof status unit are obtained by assessing the fifth impact characteristic of the pressure weight on the comprehensive assessment based on the pressure weight characteristic and the fourth weight characteristic.
[0113] Based on the comprehensive impact characteristics and pressure characteristics, the relative characteristics of pressure changes are obtained;
[0114] Based on the relative characteristics of pressure changes and the fifth weighting characteristic, the sixth influence characteristic of the impact of relative pressure changes on the comprehensive assessment is obtained;
[0115] Add the fifth and sixth influencing features to obtain the comprehensive evaluation features for impact resistance and waterproofing;
[0116] In this embodiment, the calculation formula for the comprehensive evaluation characteristics of impact resistance and waterproofing is as follows:
[0117] ;
[0118] in:
[0119] PY represents the comprehensive evaluation feature for impact resistance and waterproofing; q4 represents the fourth weighted feature reflecting the impact of pressure weight on the comprehensive evaluation; and q5 represents the fifth weighted feature reflecting the impact of the relative value of pressure change on the comprehensive evaluation.
[0120] Based on the pressure weight characteristics, pressure characteristics, pressure comprehensive influence characteristics, and anti-collision and waterproof comprehensive evaluation characteristics, and using the multiple linear regression analysis method, the value range of the fourth weight characteristic {0-5} and the value range of the fifth weight characteristic {-5-5} are obtained respectively.
[0121] The result is the fifth influence characteristic. The result is the sixth influencing characteristic.
[0122] The pressure weight feature YQ is further weighted by the fourth weight feature q4, and combined with the relative features of pressure change. The comprehensive evaluation feature for collision and waterproofing, PY, is obtained by weighting q5 using the fifth weight feature.
[0123] The Collision and Water Resistance Comprehensive Assessment Characteristic (PY) is a comprehensive indicator that takes into account various pressure-related factors and relative pressure changes, enabling a more accurate assessment of a ship's current collision and water resistance status.
[0124] Example 2, please refer to 2. During the test phase, the data processing module simulates the ship body 1 in different operating states and obtains the underwater sensor detection information for different operating states.
[0125] Based on the water sensor detection information under different operating conditions, obtain the comprehensive evaluation characteristics of anti-collision and waterproofing under different operating conditions;
[0126] Based on the comprehensive evaluation characteristics of anti-collision and waterproofing under different operating conditions, the average characteristics and standard deviation characteristics of the comprehensive evaluation are obtained.
[0127] Based on the average characteristics and standard deviation characteristics of the comprehensive evaluation, the abnormal threshold characteristics are obtained;
[0128] If the comprehensive evaluation standard deviation feature is lower than or equal to the abnormal threshold feature, the comparison judgment result is negative, and the first weight feature and the second weight feature are maintained.
[0129] If the overall evaluation standard deviation is higher than the abnormal threshold feature, the comparison judgment result is yes, and the first weight feature and the second weight feature are adjusted.
[0130] The weighting unit obtains the evaluation difference characteristics based on the difference between the comprehensive evaluation standard deviation characteristics and the outlier threshold characteristics;
[0131] Based on the assessment difference characteristics and the first weight characteristics, obtain the adjusted first weight characteristics;
[0132] Based on the evaluation difference characteristics and the second weight characteristics, obtain the adjusted second weight characteristics.
[0133] In this embodiment, the calculation formulas for the adjusted first weight feature and the adjusted second weight feature are as follows:
[0134] ;
[0135] PJY represents the anomaly threshold feature, q1 new For the adjusted first weighted feature, q2 new This is the adjusted second weighted feature;
[0136] Both a and b are adjustment coefficients, and their values range from {0 to 0.1}.
[0137] In this embodiment, when a ship experiences a collision and the comprehensive evaluation feature PY for collision protection and waterproofing exceeds the abnormal threshold feature PJY, by increasing the values of the first weight feature q1 and the second weight feature q2, the influence of water flow velocity and vibration acceleration on pressure can be emphasized more in the subsequent calculation of the comprehensive pressure influence feature Y, thereby enabling the algorithm to more sensitively capture further changes in the ship's collision protection and waterproofing structure that may occur after the collision.
[0138] This dynamic optimization and adjustment mechanism improves the adaptability and detection accuracy of the entire detection system to different state changes during long-term ship operation, enabling it to better cope with complex and ever-changing underwater environments and actual ship operating conditions.
[0139] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.
Claims
1. An underwater anti-collision and waterproof ship data detection and acquisition device, comprising a ship body (1), characterized in that: The exterior of the ship body (1) is equipped with a propeller (2), a water flow velocity sensor (3), a pressure sensor (4) and a hydrophone (5), and a vibration acceleration sensor is installed on the shaft of the propeller (2). The ship's main body (1) is equipped with a detection and acquisition device, which is internally connected to a data acquisition module, a data processing module, an evaluation feedback module, and an experiment and acquisition storage module. The data acquisition module is used to collect and acquire in real time the water flow velocity sensor (3), the pressure sensor (4), the hydrophone (5) and the vibration acceleration sensor from the water flow sensor (3), the pressure sensor (4), the hydrophone (5) and the vibration acceleration sensor; The experiment and data acquisition and storage module is used to extract the weighted influence information and abnormal threshold features obtained during the experimental phase based on the water sensor detection information. The data processing module is used to receive the water sensor detection information, the weighted influence information, and the abnormal threshold features; Based on the water sensing information and the weighted influence information, the comprehensive pressure influence characteristics are obtained; Based on the water flow sensor detection information and the comprehensive pressure influence characteristics, pressure weight characteristics are obtained; Based on the pressure weighting characteristics and the water sensing detection information, obtain the comprehensive evaluation characteristics for anti-collision and waterproofing. The evaluation feedback module is used to acquire and judge the comparison and judgment results of the waterproof comprehensive evaluation features and the abnormal threshold features, and the data processing module adjusts the weight influence information according to the comparison and judgment results; The water sensing and detection information includes pressure characteristics, water flow velocity characteristics, vibration acceleration amplitude characteristics, and underwater acoustic signal intensity characteristics; The data processing module includes a pressure state reflection unit, a ship state reflection unit, a collision and waterproofing assessment unit, and a weight adjustment unit. The weight influence information includes a first weight feature, a second weight feature, a third weight feature, a fourth weight feature, and a fifth weight feature; The pressure state reflection unit obtains the first influence feature based on the first weight feature and the water flow velocity feature; The second influence feature is obtained based on the second weighting feature and the vibration acceleration amplitude feature; The pressure feature, the first influence feature, and the second influence feature are added together to obtain the comprehensive pressure influence feature; The pressure characteristic introduced by the pressure state reflection unit is the initial pressure of the ship when it is not subjected to external water flow impact or vibration; The ship status unit obtains the pressure change rate based on the adjacent current and previous pressure characteristics; Based on the pressure change rate and the comprehensive pressure influence characteristics, a third influence characteristic is obtained; Based on the third weighting feature and the underwater acoustic signal intensity feature, the fourth influence feature is obtained; The pressure weight feature is obtained by adding the third influence feature and the fourth influence feature; The unit for evaluating anti-collision and waterproof status obtains the fifth influence feature based on the pressure weight feature and the fourth weight feature; Based on the comprehensive pressure influence characteristics and the pressure characteristics, the relative characteristics of pressure changes are obtained; Based on the relative characteristics of pressure changes and the fifth weighting characteristic, the sixth influence characteristic is obtained; The fifth and sixth influencing features are added together to obtain the comprehensive evaluation features for impact resistance and waterproofing.
2. The underwater anti-collision and waterproof ship data detection and acquisition device according to claim 1, characterized in that, The output terminals of the water flow velocity sensor (3), the pressure sensor (4), the hydrophone (5), and the vibration acceleration sensor are all connected to the input terminal of the data acquisition module; The water flow velocity sensor (3) is used to acquire the water flow velocity characteristics; The pressure sensor (4) is used to acquire the pressure characteristics; The hydrophone (5) is used to acquire the intensity characteristics of the underwater acoustic signal; The vibration acceleration sensor is used to acquire the vibration acceleration amplitude characteristics.
3. The underwater anti-collision and waterproof ship data detection and acquisition device according to claim 1, characterized in that: Based on the vibration acceleration amplitude characteristics, the water flow velocity characteristics, and the pressure change rate, and using linear regression analysis, the value range of the first weighted feature is obtained as {0-5} and the value range of the second weighted feature is obtained as {0-3}, respectively. Based on the pressure characteristics, the pressure change rate, the underwater acoustic signal intensity characteristics, and the comprehensive evaluation characteristics for anti-collision and waterproofing, and using multiple linear regression analysis, the value range of the third weighting characteristic is obtained as {0-10}. Based on the pressure weight feature, the pressure feature, the pressure comprehensive influence feature, and the anti-collision and waterproof comprehensive evaluation feature, and using the multiple linear regression analysis method, the value range of the fourth weight feature {0-5} and the value range of the fifth weight feature {-5-5} are obtained respectively.
4. The underwater anti-collision and waterproof ship data detection and acquisition device according to claim 3, characterized in that: During the test phase, the data processing module simulates the ship body (1) in different operating states and obtains the launching sensor detection information in different operating states. Based on the water sensor detection information under different operating conditions, obtain the comprehensive evaluation characteristics of anti-collision and waterproofing under different operating conditions; Based on the comprehensive evaluation characteristics of anti-collision and waterproofing under different operating conditions, the average characteristics and standard deviation characteristics of the comprehensive evaluation are obtained. The anomaly threshold feature is obtained based on the comprehensive evaluation average feature and the comprehensive evaluation standard deviation feature; If the comprehensive evaluation standard deviation feature is lower than or equal to the anomaly threshold feature, the comparison judgment result is negative, and the first weight feature and the second weight feature are maintained. If the comprehensive evaluation standard deviation feature is higher than the anomaly threshold feature, then the comparison judgment result is yes, and the first weight feature and the second weight feature are adjusted.
5. The underwater anti-collision and waterproof ship data detection and acquisition device according to claim 4, characterized in that: The weighting adjustment unit obtains the evaluation difference feature based on the difference between the comprehensive evaluation standard deviation feature and the anomaly threshold feature; Based on the evaluation difference characteristics and the first weight characteristics, the adjusted first weight characteristics are obtained; Based on the evaluation difference features and the second weight features, the adjusted second weight features are obtained.
6. The underwater anti-collision and waterproof ship data detection and acquisition device according to claim 1, characterized in that: The propeller (2) is mounted on one side surface of the ship's hull (1); The water flow velocity sensor (3) is installed on the opposite side of the ship body (1) away from and opposite to the propeller (2); The pressure sensor (4) and the hydrophone (5) are both mounted on the same symmetrical surface of the ship body (1) that is different from the propeller (2) and the water flow velocity sensor (3).
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