Device, method and equipment for monitoring corrosion resistance of cable for unmanned ship

Abstract

The invention discloses a cable corrosion resistance monitoring device, method and equipment for an unmanned ship, and belongs to the technical field of electric power facilities. The device comprises a monitoring position determination module used for acquiring distribution information of the boat cable and determining a corrosion key monitoring position according to the distribution information of the boat cable; the corrosion label monitoring module is used for generating a corrosion monitoring signal through an intelligent corrosion label arranged at the corrosion key monitoring position; wherein the material of the intelligent corrosion label is consistent with that of an insulating layer of the boat cable; and the monitoring signal analysis module is used for receiving and analyzing the corrosion monitoring signal to obtain a corrosion monitoring result of the boat cable. According to the technical scheme, the intelligent corrosion label can be attached to the surface of the boat cable and can communicate with a short-distance terminal, the boat cable does not need to be subjected to complex transformation, and a worker is helped to obtain the latest corrosion monitoring signal in time and rapidly master the corrosion dynamic state of the boat cable.

Description

Technical Field

[0001] This application belongs to the technical field of power facilities, and particularly relates to a corrosion resistance monitoring device, method and equipment for cables of unmanned boats. Background Art

[0002] Boat cables are specially designed for various boats to transmit electric energy and signals. Since boats mainly operate in waters such as the ocean and inland rivers, the high humidity and salt spray environment where the boats are located, as well as the hull vibration generated when the boats are sailing, are likely to cause corrosion of the boat cables. Corrosion of the boat cables will increase the conductor resistance and reduce the insulation performance, thus triggering short - circuit faults and affecting the operation of boat equipment. Therefore, it is very necessary to monitor the corrosion state of boat cables in real time.

[0003] Currently, for the corrosion monitoring of boat cables, it mainly relies on regular manual inspections when returning to port or simple resistance and insulation performance tests. Manual inspections not only have low efficiency, but also are limited by professional levels and detection experience, making it difficult to detect subtle corrosion signs in the early stage, resulting in potential safety hazards that cannot be eliminated in time. And simple resistance and insulation performance tests can only detect problems after the corrosion of boat cables has had a significant impact on their electrical performance, and cannot give early warnings.

[0004] Therefore, how to achieve real - time, accurate and efficient intelligent monitoring of the corrosion state of boat cables is an urgent problem for those in this field to solve. Summary of the Invention

[0005] The embodiments of this application provide a corrosion resistance monitoring device, method and equipment for cables of unmanned boats, aiming to avoid complex transformation of boat cables and help staff obtain the latest corrosion monitoring signals in time and quickly master the corrosion dynamics of boat cables.

[0006] In the first aspect, the embodiments of this application provide a corrosion resistance monitoring device for cables of unmanned boats, and the device includes:

[0007] A monitoring position determination module, configured to obtain the distribution information of boat cables and determine the key corrosion monitoring positions according to the distribution information of the boat cables;

[0008] A corrosion label monitoring module, configured to generate a corrosion monitoring signal through an intelligent corrosion label set at the key corrosion monitoring positions; wherein, the material of the intelligent corrosion label is the same as that of the insulation layer of the boat cable;

[0009] A monitoring signal analysis module, configured to receive and analyze the corrosion monitoring signal to obtain the corrosion monitoring result of the boat cable.

[0010] Second aspect, an embodiment of the present application provides a method for monitoring the corrosion resistance of cables for unmanned boats, the method including:

[0011] Obtain the distribution information of the cables for the boat through the monitoring position determination module, and determine the key corrosion monitoring positions according to the distribution information of the cables for the boat;

[0012] Generate a corrosion monitoring signal through the corrosion label monitoring module using the intelligent corrosion labels arranged at the key corrosion monitoring positions; wherein, the material of the intelligent corrosion labels is the same as that of the insulating layer of the cables for the boat;

[0013] Receive and analyze the corrosion monitoring signal through the monitoring signal analysis module to obtain the corrosion monitoring result of the cables for the boat.

[0014] Third aspect, an embodiment of the present application provides an electronic device, which includes a processor, a memory, and a program or instruction stored on the memory and executable on the processor. When the program or instruction is executed by the processor, it implements the steps of the method described in the first aspect.

[0015] In the embodiment of the present application, the monitoring position determination module is used to obtain the distribution information of the cables for the boat and determine the key corrosion monitoring positions according to the distribution information of the cables for the boat; the corrosion label monitoring module is used to generate a corrosion monitoring signal through the intelligent corrosion labels arranged at the key corrosion monitoring positions; wherein, the material of the intelligent corrosion labels is the same as that of the insulating layer of the cables for the boat; the monitoring signal analysis module is used to receive and analyze the corrosion monitoring signal to obtain the corrosion monitoring result of the cables for the boat. For the above-mentioned device for monitoring the corrosion resistance of cables for unmanned boats, the intelligent corrosion labels can be attached to the surface of the cables for the boat and can communicate with a nearby terminal, without the need for complex modification of the cables for the boat, and it helps the staff to obtain the latest corrosion monitoring signal in a timely manner and quickly master the corrosion dynamics of the cables for the boat. Description of the Drawings

[0016] Figure 1 is a schematic structural diagram of a device for monitoring the corrosion resistance of cables for unmanned boats provided in Embodiment 1 of the present application;

[0017] Figure 2 is a schematic structural diagram of a device for monitoring the corrosion resistance of cables for unmanned boats provided in Embodiment 2 of the present application;

[0018] Figure 3 is a schematic structural diagram of a device for monitoring the corrosion resistance of cables for unmanned boats provided in Embodiment 3 of the present application;

[0019] Figure 4 is a schematic structural diagram of a device for monitoring the corrosion resistance of cables for unmanned boats provided in Embodiment 4 of the present application;

[0020] Figure 5 It is a schematic flowchart of the method for monitoring the corrosion resistance of the cable for the unmanned boat provided in the fifth embodiment of the present application;

[0021] Figure 6 It is a schematic structural diagram of the electronic device provided in the sixth embodiment of the present application. Specific Embodiments

[0022] In order to make the objectives, technical solutions and advantages of the present application clearer, the following further describes the specific embodiments of the present application in detail with reference to the accompanying drawings. It can be understood that the specific embodiments described herein are only used to explain the present application, rather than limiting the present application. Additionally, it should be noted that for the sake of convenience of description, only the parts related to the present application are shown in the drawings rather than all the content. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the operations (or steps) as sequential processes, many of the operations can be implemented in parallel, concurrently or simultaneously. In addition, the order of the operations can be rearranged. When the operations are completed, the process can be terminated, but there may also be additional steps not included in the drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0023] The following will clearly describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application belong to the scope of protection of the present application.

[0024] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, rather than to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second", etc. generally belong to the same category, and the number of objects is not limited. For example, the first object can be one or multiple. In addition, "and / or" in the specification and claims means at least one of the connected objects, and the character " / " generally represents an "or" relationship between the associated objects before and after.

[0025] The following will describe in detail the device, method and equipment for monitoring the corrosion resistance of the cable for the unmanned boat provided in the embodiments of the present application with reference to the accompanying drawings and through specific embodiments and their application scenarios.

[0026] Embodiment 1

[0027] Figure 1 This is a schematic structural diagram of a corrosion resistance monitoring device for cables used in unmanned boats provided in the first embodiment of the present application. As Figure 1 shown, the device includes:

[0028] A monitoring position determination module 110, configured to obtain the distribution information of the boat cables and determine the key corrosion monitoring positions according to the distribution information of the boat cables;

[0029] A corrosion label monitoring module 120, configured to generate a corrosion monitoring signal through an intelligent corrosion label disposed at the key corrosion monitoring positions; wherein, the material of the intelligent corrosion label is the same as the material of the insulating layer of the boat cables;

[0030] A monitoring signal analysis module 130, configured to receive and analyze the corrosion monitoring signal to obtain the corrosion monitoring result of the boat cables.

[0031] This application is applicable to scenarios where unmanned boat devices have cables. Specifically, the determination of the key corrosion monitoring positions and the reception and analysis of the corrosion monitoring signals can be performed by intelligent terminal devices. The staff takes corresponding maintenance measures for the boat cables with potential corrosion hazards according to the determined corrosion monitoring results to ensure the normal and safe operation of the unmanned boat.

[0032] Based on the above usage scenarios, it can be understood that the execution subject of this application can be an intelligent terminal device, such as a desktop computer, a laptop computer, a mobile phone, a tablet computer, and an interactive multimedia, etc., and no excessive limitation is made here.

[0033] A monitoring position determination module 110, configured to obtain the distribution information of the boat cables and determine the key corrosion monitoring positions according to the distribution information of the boat cables.

[0034] A cable is a device used to transmit electricity or signals. A boat cable is a cable installed on an unmanned boat. Among them, an unmanned boat can be a watercraft with a certain degree of intelligence that can autonomously or semi-autonomously complete a series of tasks.

[0035] The distribution information of the boat cables can refer to relevant information such as the specific laying path, installation position of the boat cables on the unmanned boat, and the connection relationship with other devices. The distribution information of the boat cables can be obtained by referring to instruction documents such as the usage instructions and production reports of the unmanned boat.

[0036] The corrosion key monitoring position can refer to the position of the boat cable that is prone to corrosion and may have a significant impact on the operation of the unmanned boat once corroded. The method of determining the corrosion key monitoring position according to the boat cable distribution information can be to obtain the environmental parameters of each distribution position of the boat cable, such as temperature parameters, humidity parameters, salt spray concentration parameters, and mechanical vibration parameters, etc., and determine the corrosion key monitoring position according to the boat cable distribution information and environmental parameters.

[0037] The corrosion label monitoring module 120 is used to generate a corrosion monitoring signal through the intelligent corrosion label set at the corrosion key monitoring position.

[0038] The intelligent corrosion label can be a device that integrates a variety of sensor technologies internally, has a communication function, and can intuitively reflect the corrosion situation of the insulating layer of the boat cable. The intelligent corrosion label can be attached to the surface of the boat cable and can communicate with the intelligent terminal device in the vicinity.

[0039] The material of the intelligent corrosion label is the same as that of the insulating layer of the boat cable. Among them, the insulating layer of the boat cable can be a material layer that isolates the conductor in the boat cable from the external environment and other conductors, prevents current leakage to the outside of the boat cable, and avoids problems such as electric shock accidents and electrical short circuits; the material can refer to the texture, properties, and categories of the materials that make up an object, and is a basic attribute of the object.

[0040] The corrosion monitoring signal can be a signal generated and sent by the intelligent corrosion label after monitoring for transmitting the corrosion state, such as an electrochemical impedance spectroscopy signal or an acid-base chromaticity signal, etc. Correspondingly, the electrochemical impedance spectroscopy sensor in the intelligent corrosion label can be used to generate an electrochemical impedance spectroscopy signal, and an acid-base chromaticity signal can be generated according to the acid-base sensitive film in the intelligent corrosion label.

[0041] The monitoring signal analysis module 130 is used to receive and analyze the corrosion monitoring signal to obtain the corrosion monitoring result of the boat cable.

[0042] The corrosion monitoring result can be a set of relevant data used to describe the corrosion state of the boat cable, and can include corrosion rate, corrosion degree, and corrosion mechanism, etc. The method of analyzing the corrosion monitoring signal to obtain the corrosion monitoring result of the boat cable can be to analyze the electrochemical impedance spectroscopy signal to obtain the corrosion degree and corrosion rate of the boat cable, or analyze the acid-base chromaticity signal to obtain the corrosion degree and corrosion mechanism of the boat cable.

[0043] In the example of this application, a monitoring position determination module is used to obtain the distribution information of the boat cable and determine the key corrosion monitoring positions based on the distribution information of the boat cable; a corrosion label monitoring module is used to generate a corrosion monitoring signal through an intelligent corrosion label set at the key corrosion monitoring positions; wherein, the material of the intelligent corrosion label is the same as that of the insulating layer of the boat cable; a monitoring signal analysis module is used to receive and analyze the corrosion monitoring signal to obtain the corrosion monitoring result of the boat cable. In this technical solution, the intelligent corrosion label can be attached to the surface of the boat cable and can communicate with a nearby terminal, without the need for complex transformation of the boat cable, and helps the staff to obtain the latest corrosion monitoring signal in a timely manner and quickly master the corrosion dynamics of the boat cable.

[0044] Embodiment 2

[0045] Figure 2 It is a schematic structural diagram of a corrosion resistance monitoring device for an unmanned boat cable provided in Embodiment 2 of this application. This solution makes a better improvement on the basis of the above embodiment. The specific improvement is as follows: the monitoring position determination module includes: a distribution information acquisition unit for acquiring the distribution information of the boat cable; an environmental parameter acquisition unit for acquiring the environmental parameters of each distribution position of the boat cable; wherein, the environmental parameters include at least one of temperature parameter, humidity parameter, salt fog concentration parameter and mechanical vibration parameter; a monitoring position determination unit for determining the key corrosion monitoring positions according to the distribution information of the boat cable and the environmental parameters.

[0046] As Figure 2 shown, the device includes:

[0047] A monitoring position determination module 210 for acquiring the distribution information of the boat cable and determining the key corrosion monitoring positions according to the distribution information of the boat cable;

[0048] A corrosion label monitoring module 220 for generating a corrosion monitoring signal through an intelligent corrosion label set at the key corrosion monitoring positions; wherein, the material of the intelligent corrosion label is the same as that of the insulating layer of the boat cable;

[0049] A monitoring signal analysis module 230 for receiving and analyzing the corrosion monitoring signal to obtain the corrosion monitoring result of the boat cable.

[0050] Among them, the monitoring position determination module 210 includes:

[0051] A distribution information acquisition unit 2101 for acquiring the distribution information of the boat cable;

[0052] An environmental parameter acquisition unit 2102 is configured to acquire environmental parameters at various distribution positions of the marine cable; wherein, the environmental parameters include at least one of a temperature parameter, a humidity parameter, a salt spray concentration parameter, and a mechanical vibration parameter;

[0053] A monitoring position determination unit 2103 is configured to determine critical corrosion monitoring positions according to the marine cable distribution information and the environmental parameters.

[0054] The environmental parameters can be a set of parameters used to describe the environmental conditions where the marine cable is located. The environmental parameters can include a temperature parameter, a humidity parameter, a salt spray concentration parameter, a mechanical vibration parameter, etc. Specifically, the temperature parameter can refer to the temperature value of the environment where the marine cable is located, which can be used to describe the hot and cold degree of the environment where the marine cable is located, and the temperature parameter can be collected by a temperature sensor; the humidity parameter can be used to describe the humidity of the air in the environment where the marine cable is located, and the humidity parameter can be collected by a humidity sensor; the salt spray concentration parameter can refer to the quantity or mass of salt particles contained in the air per unit volume in a salt-containing environment such as the ocean for the marine cable, and the salt spray concentration parameter can be collected by a salt spray sensor; the mechanical vibration parameter can be a set of physical parameters of the mechanical vibration borne by the marine cable, which can include vibration frequency, vibration amplitude, and acceleration, etc., and the mechanical vibration parameter can be collected by a distance sensor, an acceleration sensor, etc.

[0055] The method for determining the critical corrosion monitoring positions according to the marine cable distribution information and the environmental parameters can adopt a random forest algorithm. According to the three-dimensional distribution topology map of the marine cable and the environmental parameters, predict the corrosion risk degree of each distribution position of the marine cable, and determine the distribution positions where the corrosion risk degree exceeds the preset risk threshold as the critical corrosion monitoring positions.

[0056] In this technical solution, optionally, the marine cable distribution information includes a three-dimensional distribution topology map of the marine cable;

[0057] Correspondingly, the monitoring position determination unit is specifically configured to:

[0058] Based on the random forest algorithm, according to the three-dimensional distribution topology map of the marine cable and the environmental parameters, predict the corrosion risk degree of each distribution position of the marine cable;

[0059] Determine the distribution positions where the corrosion risk degree exceeds the preset risk threshold as the critical corrosion monitoring positions.

[0060] The three-dimensional distribution topology map is a graphical representation method that shows the distribution relationship, connection relationship, and spatial position information between elements in an object or system in a three-dimensional space form.

[0061] The random forest algorithm is an ensemble learning algorithm based on machine learning. It constructs multiple decision trees through random sampling with replacement during training, randomly samples the samples and features during construction, and integrates the decisions using voting for classification and averaging for regression. It has advantages such as high accuracy and resistance to overfitting.

[0062] The degree of corrosion risk can be a quantitative description of the possibility and harm degree of corrosion failure or functional failure of submarine cables under the comprehensive influence of current environmental parameters. Based on the random forest algorithm, according to the three-dimensional distribution topology map of submarine cables and environmental parameters, the way to predict the degree of corrosion risk at each distribution position of submarine cables can be to input the three-dimensional distribution topology map and environmental parameters into a pre-trained random forest model. Each decision tree predicts its degree of corrosion risk respectively, and then the final degree of corrosion risk is obtained by voting or averaging.

[0063] The following is an example code for predicting the degree of corrosion risk at each distribution position of submarine cables based on the random forest algorithm, according to the three-dimensional distribution topology map of submarine cables and environmental parameters:

[0064] import numpy as np import pandas as pd from sklearn.ensemble import RandomForestClassifier,RandomForestRegressor from sklearn.model_selection import train_test_split from sklearn.metrics import accuracy_score,mean_squared_error

[0065] # Generate example data # Assume we have 100 samples, each sample has 5 features (3 three-dimensional distribution topology features and 2 environmental parameters) # And generate the corresponding corrosion risk degree labels (here assume it is a classification problem, with 3 classes)

[0066] np.random.seed(42)

[0067] n_samples = 100

[0068] n_features = 5

[0069] X = np.random.rand(n_samples,n_features)

[0070] y = np.random.randint(0,3,n_samples)

[0071] # Divide the data into training set and test set

[0072] X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, random_state = 42)

[0073] # Create a random forest classifier # If the corrosion risk level is a continuous value, RandomForestRegressor can be used

[0074] rf_model = RandomForestClassifier(n_estimators = 100, random_state = 42)

[0075] # Train the model

[0076] rf_model.fit(X_train, y_train)

[0077] # Make predictions on the test set

[0078] y_pred = rf_model.predict(X_test)

[0079] # Evaluate the model

[0080] accuracy = accuracy_score(y_test, y_pred) print(f"Model accuracy: {accuracy}")

[0081] # Assume we have a new sample to predict

[0082] new_sample = np.random.rand(1, n_features)

[0083] predicted_risk = rf_model.predict(new_sample) print(f"Predicted corrosion risk level category: {predicted_risk[0]}")

[0084] # If it is a regression problem (corrosion risk level is a continuous value) # Regenerate continuous labels

[0085] y_reg = np.random.rand(n_samples)

[0086] X_train_reg, X_test_reg, y_train_reg, y_test_reg = train_test_split(X, y_reg, test_size = 0.2, random_state = 42)

[0087] rf_reg_model = RandomForestRegressor(n_estimators = 100, random_state = 42)

[0088] rf_reg_model.fit(X_train_reg, y_train_reg)

[0089] y_pred_reg = rf_reg_model.predict(X_test_reg)

[0090] mse = mean_squared_error(y_test_reg, y_pred_reg) print(f"Regression model mean squared error: {mse}")

[0091] new_sample_reg = np.random.rand(1, n_features)

[0092] predicted_risk_reg = rf_reg_model.predict(new_sample_reg) print(f"Predicted corrosion risk level (continuous value): {predicted_risk_reg[0]}")

[0093] The preset risk threshold can be a pre-set lower limit of the corrosion risk level indicating that there is an easy corrosion hazard at the position of this distribution. Therefore, the distribution positions where the corrosion risk level exceeds the preset risk threshold can be determined as the key corrosion monitoring positions.

[0094] The advantage of this solution is that, based on the random forest algorithm, according to the three-dimensional distribution topology map of the submarine cable and environmental parameters, the corrosion risk levels of each distribution position of the submarine cable are predicted, and the distribution positions where the corrosion risk level exceeds the preset risk threshold are determined as the key corrosion monitoring positions, which can accurately focus on the key areas prone to corrosion, avoid indiscriminate monitoring of all cable distribution positions, thus significantly improving the utilization efficiency of monitoring resources and reducing the monitoring cost.

[0095] The advantage of this solution is that by determining the key corrosion monitoring positions based on the distribution information of the submarine cables and the environmental parameters at each distribution position of the submarine cables, the corrosion effects of various environmental conditions on the submarine cables can be fully considered, significantly improving the pertinence of corrosion monitoring, and thus enhancing the corrosion monitoring efficiency.

[0096] Embodiment III

[0097] Figure 3 It is a schematic structural diagram of a corrosion resistance monitoring device for submarine cables of an unmanned boat provided in Embodiment III of the present application. This solution makes a better improvement on the basis of the above embodiments. The specific improvement is that the corrosion monitoring signal includes an electrochemical impedance spectroscopy signal. Correspondingly, the corrosion label monitoring module is specifically used for: generating an electrochemical impedance spectroscopy signal through the electrochemical impedance spectroscopy sensor in the intelligent corrosion label arranged at the key corrosion monitoring position. Correspondingly, the monitoring signal analysis module is specifically used for: receiving and analyzing the electrochemical impedance spectroscopy signal to obtain the corrosion monitoring result of the submarine cable. Among them, the corrosion detection result includes the corrosion degree and the corrosion rate.

[0098] As Figure 3 shown, the device includes:

[0099] A monitoring position determination module 310, configured to obtain the distribution information of the submarine cables and determine the key corrosion monitoring positions according to the distribution information of the submarine cables;

[0100] A corrosion label monitoring module 320, configured to generate a corrosion monitoring signal through the intelligent corrosion label arranged at the key corrosion monitoring position. Among them, the material of the intelligent corrosion label is the same as that of the insulating layer of the submarine cable;

[0101] A monitoring signal analysis module 330, configured to receive and analyze the corrosion monitoring signal to obtain the corrosion monitoring result of the submarine cable.

[0102] Among them, the corrosion label monitoring module 320 is specifically used for:

[0103] Generating an electrochemical impedance spectroscopy signal through the electrochemical impedance spectroscopy sensor in the intelligent corrosion label arranged at the key corrosion monitoring position;

[0104] Among them, the monitoring signal analysis module 330 is specifically used for:

[0105] Receiving and analyzing the electrochemical impedance spectroscopy signal to obtain the corrosion monitoring result of the submarine cable. Among them, the corrosion detection result includes the corrosion degree and the corrosion rate.

[0106] The electrochemical impedance spectroscopy signal can be an electrical signal representing the internal impedance characteristics obtained by applying a small-amplitude alternating voltage or current signal and measuring the corresponding current or voltage response. The electrochemical impedance spectroscopy sensor applies a small-amplitude alternating voltage or current signal and measures the response to this signal to obtain the electrochemical impedance spectroscopy signal.

[0107] The degree of corrosion can refer to the degree of physical, chemical, or performance changes in the marine cable due to corrosion; the corrosion rate can be the ratio of the amount lost by the marine cable due to corrosion within a certain time to the time, used to measure the speed of the corrosion process.

[0108] The method of analyzing the electrochemical impedance spectroscopy signal to obtain the corrosion monitoring result of the marine cable can be to determine the change rate of the double-layer capacitance and the attenuation gradient of the charge transfer resistance according to the electrochemical impedance spectroscopy signal, determine the degree of corrosion of the marine cable according to the change rate of the double-layer capacitance, and determine the corrosion rate of the marine cable according to the change rate of the double-layer capacitance and the attenuation gradient of the charge transfer resistance.

[0109] In this technical solution, optionally, the monitoring signal analysis module is specifically used for:

[0110] Receiving the electrochemical impedance spectroscopy signal and determining the change rate of the double-layer capacitance and the attenuation gradient of the charge transfer resistance according to the electrochemical impedance spectroscopy signal;

[0111] Determining the degree of corrosion of the marine cable according to the change rate of the double-layer capacitance, and determining the corrosion rate of the marine cable according to the change rate of the double-layer capacitance and the attenuation gradient of the charge transfer resistance.

[0112] The double-layer capacitance can refer to the capacitance similar to a capacitor formed due to the separation of charges at the electrode or solution interface. The change rate of the double-layer capacitance refers to the change trend of the double-layer capacitance with a certain variable (such as time, potential, or solution concentration, etc.).

[0113] The charge transfer resistance can refer to the resistance encountered when charges are transferred between the electrode and the solution in an electrochemical reaction. The attenuation gradient of the charge transfer resistance is the change trend of the charge transfer resistance with a certain variable (such as time, potential, or reaction progress, etc.).

[0114] The method of determining the change rate of the double-layer capacitance and the attenuation gradient of the charge transfer resistance according to the electrochemical impedance spectroscopy signal can be to construct an equivalent circuit model based on electrochemical theory, fit the electrochemical impedance spectroscopy signal with the equivalent circuit model to obtain the double-layer capacitance values and charge transfer resistance values at different times, and perform linear regression or differential calculation on the double-layer capacitance and charge transfer resistance data at different times to obtain the change rate of the double-layer capacitance and the attenuation gradient of the charge transfer resistance.

[0115] The method for determining the corrosion degree of the submarine cable according to the change rate of the double-layer capacitance can be to pre-conduct an accelerated corrosion experiment using a sample cable of the same or similar material to obtain the change rate of the double-layer capacitance and the actual corrosion degree, and draw a standard curve with the change rate of the double-layer capacitance as the abscissa and the corrosion degree as the ordinate, and determine the current corrosion degree according to the standard curve and the current change rate of the double-layer capacitance.

[0116] The method for determining the corrosion rate of the submarine cable according to the change rate of the double-layer capacitance and the attenuation gradient of the charge transfer resistance can be to collect the change rate of the double-layer capacitance and the attenuation gradient of the charge transfer resistance of the submarine cable under different environmental conditions and different usage durations, and at the same time obtain the corresponding true corrosion rate through corrosion rate measurement means such as the weight loss method. Taking the change rate of the double-layer capacitance and the attenuation gradient of the charge transfer resistance as independent variables and the true corrosion rate as the dependent variable, use the linear regression algorithm to construct a model, and input the current change rate of the double-layer capacitance and the attenuation gradient of the charge transfer resistance into the linear regression model to obtain the current corrosion rate.

[0117] The advantage of this solution is that by determining the change rate of the double-layer capacitance and the attenuation gradient of the charge transfer resistance according to the electrochemical impedance spectrum signal, determining the corrosion degree of the submarine cable according to the change rate of the double-layer capacitance, and determining the corrosion rate of the submarine cable according to the change rate of the double-layer capacitance and the attenuation gradient of the charge transfer resistance, it is possible to achieve comprehensive, accurate real-time dynamic monitoring of the corrosion status of the submarine cable.

[0118] The advantage of this solution is that by analyzing the electrochemical impedance spectrum signal to obtain the corrosion degree and corrosion rate of the submarine cable, the real-time corrosion state of the submarine cable can be accurately grasped, which helps to predict potential failure risks and provides comprehensive and accurate data support for maintenance work.

[0119] Embodiment 4

[0120] Figure 4 It is a schematic structural diagram of a corrosion resistance monitoring device for an unmanned submarine cable provided in Embodiment 4 of the present application. This solution makes a better improvement on the basis of the above-mentioned embodiments. The specific improvement is that the corrosion monitoring signal includes an electrochemical impedance spectrum signal; correspondingly, the corrosion label monitoring module is specifically used for: generating an electrochemical impedance spectrum signal through an electrochemical impedance spectrum sensor in the intelligent corrosion label set at the key corrosion monitoring position; correspondingly, the monitoring signal analysis module is specifically used for: receiving and analyzing the electrochemical impedance spectrum signal to obtain the corrosion monitoring result of the submarine cable; wherein, the corrosion detection result includes the corrosion degree and the corrosion rate.

[0121] As Figure 4 shown, the device includes:

[0122] A monitoring position determination module 410, configured to obtain the distribution information of the submarine cable, and determine the key corrosion monitoring positions according to the distribution information of the submarine cable;

[0123] A corrosion label monitoring module 420, configured to generate a corrosion monitoring signal through an intelligent corrosion label disposed at the key corrosion monitoring positions; wherein, the material of the intelligent corrosion label is the same as that of the insulating layer of the submarine cable;

[0124] A monitoring signal analysis module 430, configured to receive and analyze the corrosion monitoring signal to obtain the corrosion monitoring result of the submarine cable.

[0125] Wherein, the corrosion label monitoring module 420 is specifically configured to:

[0126] Generate an acid-base chromaticity signal through a pH-sensitive film in the intelligent corrosion label disposed at the key corrosion monitoring positions;

[0127] Wherein, the monitoring signal analysis module 430 is specifically configured to:

[0128] Receive and analyze the acid-base chromaticity signal to obtain the corrosion monitoring result of the submarine cable; wherein, the corrosion detection result includes the corrosion degree and the corrosion mechanism.

[0129] The pH-sensitive film is a functional thin film material that is sensitive to the pH value and can produce corresponding physical or chemical changes. The acid-base chromaticity signal may refer to the chromaticity distribution image signal of the pH-sensitive film, and the chromaticity therein refers to the color characteristics used to measure the pH-sensitive film due to contact with substances of different pH values.

[0130] The corrosion mechanism may refer to the principle and process that cause the submarine cable to corrode. The method of analyzing the acid-base chromaticity signal to obtain the corrosion monitoring result of the submarine cable may be to determine the type of corrosion products and the distribution information of the corrosion products according to the acid-base chromaticity signal, determine the corrosion mechanism of the submarine cable according to the type of corrosion products, and determine the corrosion degree of the submarine cable according to the distribution information of the corrosion products.

[0131] In this technical solution, optionally, the monitoring signal analysis module is specifically configured to:

[0132] Receive the acid-base chromaticity signal, and determine the type of corrosion products and the distribution information of the corrosion products according to the acid-base chromaticity signal;

[0133] Determine the corrosion mechanism of the submarine cable according to the type of corrosion products, and determine the corrosion degree of the submarine cable according to the distribution information of the corrosion products.

[0134] The type of corrosion product may refer to the types of various substances generated during the corrosion process of the submarine cable. The distribution information of the corrosion product may refer to the quantity characteristics and density characteristics of the corrosion product on the surface or inside the submarine cable.

[0135] By identifying the acid-base chromaticity signal based on the image recognition algorithm, the various chromaticities and their distribution on the acid-base sensitive film can be obtained. According to the various chromaticities and their distribution and the pre-constructed correlation between the chromaticity and the type of corrosion product, the type of corrosion product and the distribution information of corrosion product can be determined.

[0136] The corrosion mechanism corresponding to each corrosion product type can be pre-set. For example, if the corrosion product type is iron hydroxide, the corrosion mechanism is oxygen absorption corrosion in electrochemical corrosion. If the corrosion product type is cupric chloride, the corrosion mechanism is the combined effect of chemical corrosion and electrochemical corrosion. If the corrosion product type is ferrous sulfide, the corrosion mechanism is the combined effect of microbial corrosion and chemical corrosion.

[0137] The corrosion degree corresponding to each corrosion product distribution information can be pre-set. For example, if the corrosion product distribution information is uniformly and sparsely distributed, the corrosion degree is mild. If the corrosion product distribution information is locally concentrated, the corrosion degree is moderate. If the corrosion product distribution information covers a large area, the corrosion degree is severe.

[0138] The following is a sample code to determine the corrosion degree and corrosion mechanism of boat cables based on the acid-base colorimetric signal:

[0139] #Pre-built correlation between chromaticity and corrosion product type

[0140] color_to_product={

[0141] "Red":"Iron Hydroxide",

[0142] "Green":"Copper chloride",

[0143] "Black": "Ferrous sulfide"}

[0144] #Pre-built correlations between corrosion product types and corrosion mechanisms

[0145] product_to_mechanism={

[0146] "Iron Hydroxide": "Oxygen Absorption Corrosion in Electrochemical Corrosion",

[0147] "Copper chloride": "chemical corrosion and electrochemical corrosion work together",

[0148] "Ferrous sulfide":"Microbial corrosion and chemical corrosion work together"}

[0149] # Association between pre - constructed corrosion product distribution information and corrosion degree

[0150] distribution_to_severity = {

[0151] "Uniform sparse distribution": "Mild",

[0152] "Local concentrated distribution": "Moderate",

[0153] "Large - area coverage": "Severe"}

[0154] def determine_corrosion_info(color, distribution):

[0155] # Determine the type of corrosion product based on chromaticity

[0156] if color in color_to_product:

[0157] product_type = color_to_product[color]

[0158] else:

[0159] product_type = "Unknown"

[0160] # Determine the corrosion mechanism based on the type of corrosion product

[0161] if product_type in product_to_mechanism:

[0162] corrosion_mechanism = product_to_mechanism[product_type]

[0163] else:

[0164] corrosion_mechanism = "Unknown"

[0165] # Determine the corrosion degree based on the corrosion product distribution information

[0166] if distribution in distribution_to_severity:

[0167] corrosion_severity = distribution_to_severity[distribution]

[0168] else:

[0169] corrosion_severity = "unknown"

[0170] return product_type, corrosion_mechanism, corrosion_severity

[0171] # Example: Assume the chromaticity and corrosion product distribution information obtained through image recognition

[0172] color = "red"

[0173] distribution = "localized concentrated distribution"

[0174] # Determine the corrosion product type, corrosion mechanism, and corrosion severity

[0175] product_type, corrosion_mechanism, corrosion_severity = determine_corrosion_info(color, distribution)

[0176] print(f"Corrosion product type: {product_type}") print(f"Corrosion mechanism: {corrosion_mechanism}") print(f"Corrosion severity: {corrosion_severity}")

[0177] The advantage of this solution is that by determining the corrosion product type and corrosion product distribution information based on the acid-base chromaticity signal, determining the corrosion mechanism of the submarine cable according to the corrosion product type, and determining the corrosion severity of the submarine cable according to the corrosion product distribution information, it is possible to analyze the root cause of corrosion and the development trend of corrosion on the submarine cable, thereby helping to take targeted maintenance and protection measures.

[0178] The advantage of this solution is that by analyzing the acid-base chromaticity signal to obtain the corrosion severity and corrosion mechanism of the submarine cable, it can provide a scientific and accurate basis for formulating the corrosion maintenance and protection strategy of the submarine cable.

[0179] Example Five

[0180] Figure 5 is a schematic flowchart of the method for monitoring the corrosion resistance of submarine cables provided in the fifth embodiment of this application. As Figure 5 shown, it specifically includes the following steps:

[0181] S501. Obtain the distribution information of the boat cable through the monitoring position determination module, and determine the key corrosion monitoring positions according to the distribution information of the boat cable;

[0182] S502. The corrosion label monitoring module generates a corrosion monitoring signal through the intelligent corrosion label set at the key corrosion monitoring position; wherein, the material of the intelligent corrosion label is the same as that of the insulating layer of the boat cable;

[0183] S503. The monitoring signal analysis module receives and analyzes the corrosion monitoring signal to obtain the corrosion monitoring result of the boat cable.

[0184] In the embodiment of the present application, the distribution information of the boat cable is obtained through the monitoring position determination module, and the key corrosion monitoring positions are determined according to the distribution information of the boat cable; the corrosion label monitoring module generates a corrosion monitoring signal through the intelligent corrosion label set at the key corrosion monitoring position; wherein, the material of the intelligent corrosion label is the same as that of the insulating layer of the boat cable; the monitoring signal analysis module receives and analyzes the corrosion monitoring signal to obtain the corrosion monitoring result of the boat cable. For the above-mentioned method for monitoring the corrosion resistance of the boat cable of the unmanned boat, the intelligent corrosion label can be attached to the surface of the boat cable and can communicate with the nearby terminal, without complex transformation of the boat cable, and helps the staff to obtain the latest corrosion monitoring signal in time and quickly master the corrosion dynamics of the boat cable.

[0185] The method for monitoring the corrosion resistance of the boat cable of the unmanned boat provided by the embodiment of the present application corresponds to the device for monitoring the corrosion resistance of the boat cable of the unmanned boat provided by the above embodiment, and has the same functional modules and beneficial effects. To avoid repetition, it will not be elaborated here.

[0186] Embodiment Six

[0187] As Figure 6 shown, the embodiment of the present application further provides an electronic device 600, including a processor 601, a memory 602, a program or instruction stored on the memory 602 and executable on the processor 601. When the program or instruction is executed by the processor 601, it realizes each process of the above-mentioned embodiment of the device for monitoring the corrosion resistance of the boat cable of the unmanned boat, and can achieve the same technical effect. To avoid repetition, it will not be elaborated here.

[0188] It should be noted that the electronic device in the embodiment of the present application includes the above-mentioned mobile electronic device and non-mobile electronic device.

[0189] Embodiment Seven

[0190] An embodiment of the present application further provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, each process of the above-described embodiment of the corrosion resistance monitoring device for the unmanned boat cable is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be elaborated here.

[0191] Among them, the processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes a computer-readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disc, etc.

[0192] Embodiment Eight

[0193] Another embodiment of the present application provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run a program or instruction to implement each process of the above-described embodiment of the corrosion resistance monitoring device for the unmanned boat cable, and the same technical effect can be achieved. To avoid repetition, it will not be elaborated here.

[0194] It should be understood that the chip mentioned in the embodiment of the present application may also be referred to as a system-on-chip, a system chip, a chip system, or a system-on-chip, etc.

[0195] It should be noted that in this article, the term "comprising", "including" or any other variant thereof is intended to cover a non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of additional identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in a reverse order according to the functions involved. For example, the described methods may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0196] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-described embodiment methods can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art can be embodied in the form of a computer software product. The computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions for causing a terminal (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present application.

[0197] The embodiments of the present application have been described above in conjunction with the accompanying drawings. However, the present application is not limited to the above specific implementation manners. The above specific implementation manners are merely illustrative and not restrictive. Under the inspiration of the present application, those of ordinary skill in the art can also make many forms without departing from the purpose of the present application and the scope protected by the claims, and all of them belong to the protection scope of the present application.

[0198] The above is only the preferred embodiment of the present application and the technical principles applied. The present application is not limited to the specific embodiments described herein. Various obvious changes, re-adjustments, and substitutions that can be made by those skilled in the art will not depart from the protection scope of the present application. Therefore, although the present application has been described in more detail through the above embodiments, the present application is not limited to the above embodiments. Without departing from the concept of the present application, it can also include more other equivalent embodiments, and the scope of the present application is determined by the scope of the claims.

Claims

1. A cable corrosion resistance monitoring device for unmanned boats, characterized in that: The device comprises: A monitoring position determination module is used to obtain the distribution information of the submarine cable and determine the key corrosion monitoring position according to the distribution information of the submarine cable; A corrosion tag monitoring module, used to generate a corrosion monitoring signal through an intelligent corrosion tag arranged at the key corrosion monitoring position; wherein the material of the intelligent corrosion tag is consistent with the material of the insulation layer of the submarine cable; The monitoring signal analysis module is used to receive and analyze the corrosion monitoring signal to obtain the corrosion monitoring result of the submarine cable.

2. The cable corrosion resistance monitoring device for unmanned boat according to claim 1 is characterized in that: The monitoring location determination module comprises: A distribution information acquisition unit, used to acquire distribution information of submarine cables; An environmental parameter acquisition unit, used to acquire environmental parameters of each distribution position of the submarine cable; wherein the environmental parameters include at least one of a temperature parameter, a humidity parameter, a salt spray concentration parameter and a mechanical vibration parameter; The monitoring position determination unit is used to determine the key corrosion monitoring position according to the distribution information of the submarine cable and the environmental parameters.

3. The cable corrosion resistance monitoring device for unmanned boat according to claim 2 is characterized in that: The boat cable distribution information includes a three-dimensional distribution topology diagram of the boat cables; Accordingly, the monitoring position determination unit is specifically used for: Based on the random forest algorithm, according to the three-dimensional distribution topology map of the submarine cable and the environmental parameters, predict the corrosion risk degree of each distribution position of the submarine cable; The distribution locations where the corrosion risk level exceeds a preset risk threshold are determined as key corrosion monitoring locations.

4. The cable corrosion resistance monitoring device for unmanned boat according to claim 1, characterized in that: The corrosion monitoring signal includes an electrochemical impedance spectroscopy signal; Accordingly, the corrosion tag monitoring module is specifically used for: generating an electrochemical impedance spectroscopy signal by an electrochemical impedance spectroscopy sensor disposed in an intelligent corrosion tag at the key corrosion monitoring position; Accordingly, the monitoring signal analysis module is specifically used for: The electrochemical impedance spectroscopy signal is received and analyzed to obtain a corrosion monitoring result of the submarine cable; wherein the corrosion detection result includes a corrosion degree and a corrosion rate.

5. The cable corrosion resistance monitoring device for unmanned boat according to claim 4 is characterized in that: The monitoring signal analysis module is specifically used for: Receiving the electrochemical impedance spectroscopy signal, and determining the double layer capacitance change rate and the charge transfer resistance attenuation gradient according to the electrochemical impedance spectroscopy signal; The corrosion degree of the submarine cable is determined according to the double-layer capacitance change rate, and the corrosion rate of the submarine cable is determined according to the double-layer capacitance change rate and the charge transfer resistance attenuation gradient.

6. The cable corrosion resistance monitoring device for unmanned boat according to claim 1, characterized in that: The corrosion monitoring signal includes an acid-base colorimetric signal; Accordingly, the corrosion tag monitoring module is specifically used for: Generate an acid-base colorimetric signal through an acid-base sensitive membrane in an intelligent corrosion tag disposed at the key corrosion monitoring position; Accordingly, the monitoring signal analysis module is specifically used for: The acid-base colorimetric signal is received and analyzed to obtain a corrosion monitoring result of the submarine cable; wherein the corrosion detection result includes a corrosion degree and a corrosion mechanism.

7. The cable corrosion resistance monitoring device for unmanned boat according to claim 6 is characterized in that: The monitoring signal analysis module is specifically used for: receiving the acid-base colorimetric signal, and determining the type of corrosion products and the distribution information of the corrosion products according to the acid-base colorimetric signal; The corrosion mechanism of the submarine cable is determined according to the corrosion product type, and the corrosion degree of the submarine cable is determined according to the corrosion product distribution information.

8. A method for monitoring the corrosion resistance of cables for unmanned boats, characterized in that: The method comprises: Acquire the distribution information of the submarine cable through the monitoring position determination module, and determine the key corrosion monitoring position according to the distribution information of the submarine cable; Generate a corrosion monitoring signal through a corrosion tag monitoring module by means of an intelligent corrosion tag arranged at the key corrosion monitoring position; wherein the material of the intelligent corrosion tag is consistent with the material of the insulation layer of the submarine cable; The corrosion monitoring signal is received and analyzed by a monitoring signal analysis module to obtain the corrosion monitoring result of the submarine cable.

9. The method for monitoring the corrosion resistance of cables for unmanned boats according to claim 8, characterized in that: The monitoring position determination module is used to obtain the distribution information of the submarine cable, and the key corrosion monitoring position is determined according to the distribution information of the submarine cable, including: Acquiring the distribution information of the boat cable through the distribution information acquisition unit; Acquire the environmental parameters of each distribution position of the submarine cable through an environmental parameter acquisition unit; wherein the environmental parameters include at least one of a temperature parameter, a humidity parameter, a salt spray concentration parameter, and a mechanical vibration parameter; The key corrosion monitoring position is determined by a monitoring position determination unit according to the distribution information of the boat cable and the environmental parameters.

10. An electronic device, characterized in that: It includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor. When the program or instruction is executed by the processor, the steps of the method for monitoring the corrosion resistance of cables for unmanned boats as described in any one of claims 8 to 9 are implemented.

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