Submarine cable loss online detection system

Abstract

The invention relates to the technical field of cable detection, in particular to a submarine cable loss online detection system which comprises a sensor integration module. The AUV collaborative detection module is used for carrying out image data acquisition on the submarine cable position area with the abnormal temperature data or the abnormal vibration data; the data analysis module is used for determining loss type judgment parameters according to whether the submarine cable in the acquired image data is lost or not; the control module is used for determining a loss processing mode according to a comparison result of the corresponding loss type judgment parameter and a corresponding preset threshold value; the adjusting module is used for determining the inspection interval duration of the AUV according to the abnormal ocean current change data in the preset period, and adjusting the visual angle range and the shooting frame rate of image acquisition equipment carried by the AUV. According to the invention, the accuracy of the submarine cable loss type analysis is improved, so that the accuracy of the processing process when the submarine cable is lost is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of cable detection, and in particular to an online detection system for submarine cable loss. Background Art

[0002] Submarine cables are a key component of modern marine engineering and global communications and energy transmission infrastructure. In the field of communications, submarine communications cables carry most of the world's international communications services, including Internet data transmission, telephone communications, etc. Early submarine cable inspections were mainly carried out by divers. Divers can directly observe the appearance of the cable, but this method is limited by the diving depth, diving time and underwater visibility. Moreover, the diver's inspection efficiency is low, making it difficult to conduct comprehensive and frequent inspections of long-distance submarine cables.

[0003] For example, Chinese patent application publication number: CN117310092B discloses a composite submarine cable detection device, including a mounting base and a traction device, the traction device for pulling the cable to move is arranged on the mounting base, the mounting base is provided with a detection mark device for detecting whether the cable surface is intact, the mounting base is provided with two lifting devices, the two lifting devices are arranged on both sides of the detection mark device, the lifting device drives the detection mark device and the cable to fit tightly through a booster device, the cable passes through the traction device, the two lifting devices and the detection mark device, the traction device is adjusted according to the diameter of the cable to adapt to the push of the cable, in order to prevent the cable from squeezing the detection mark device to avoid affecting the detection, the lifting device will be adjusted, the adjusted lifting device drives the detection mark device and the cable to fit tightly through the booster device, the traction device pulls the cable through the detection mark device to detect the cable and mark the damaged surface.

[0004] However, the existing technology has the problem that the loss analysis of submarine cables is not accurate enough, resulting in inaccurate control in the process of handling damaged cables, and thus the damaged cables cannot be repaired in time, causing the cable transmission to be interrupted. Summary of the invention

[0005] To this end, the present invention provides an online submarine cable loss detection system to overcome the problem that the loss analysis of submarine cables in the prior art is not accurate enough, resulting in inaccurate control in the process of handling damaged cables, and thus the damaged cables cannot be repaired in time, causing cable transmission interruption.

[0006] To achieve the above object, the present invention provides an online detection system for submarine cable loss, comprising: A sensor integrated module, comprising a vibration detection unit for acquiring vibration data of the submarine cable and a temperature detection unit for acquiring temperature data of the submarine cable; An AUV collaborative detection module, which is connected to the sensor integration module and is used to collect image data of the submarine cable location area where abnormal temperature data or abnormal vibration data exists; A data analysis module, which is connected to the AUV collaborative detection module and is used to determine a loss type judgment parameter based on whether the submarine cable in the collected image data is damaged; A control module connected to the data analysis module, for adjusting the collection interval of cable temperature data and vibration data according to the comparison result of the corresponding loss type judgment parameter and the corresponding preset threshold value, or cleaning the submarine cable and obtaining the ocean current change data within a preset period; An adjustment module, which is connected to the control module, the sensor integration module and the AUV collaborative detection module respectively, and is used to determine the adjustment of the AUV inspection interval and the viewing angle range and shooting frame rate of the image acquisition device carried by the AUV according to the abnormal ocean current change data within a preset period; The loss type judgment parameter is determined according to the loss status of the submarine cable.

[0007] Furthermore, the data analysis module determines the loss type judgment parameter including: Under the condition that the submarine cable loss state is that the submarine cable is lost, determining the loss type judgment parameters as loss thickness and loss characteristics; Or, under the condition that the submarine cable loss state is that the submarine cable is not lost, the loss type judgment parameter is determined as the degree of coincidence between the AUV collaborative detection time point and the time point at which abnormal data appears in the submarine cable within a preset time length.

[0008] Furthermore, the control module determines to adjust the collection interval of the cable temperature data and the vibration data to half of the original collection interval based on the judgment result that the loss thickness is less than or equal to the preset loss thickness and the loss feature is a potential wear loss feature; The preset loss thickness is determined based on the average loss thickness of several submarine cables of the same type when they are repaired and replaced.

[0009] Furthermore, the control module determines the loss processing method based on the comparison result of the coincidence between the AUV collaborative detection time point and the abnormal data time point of the submarine cable within the preset time length and the preset coincidence, including: Under the condition that the coincidence degree between the AUV collaborative detection time point and the abnormal data time point of the submarine cable within the preset time length is greater than the preset coincidence degree, it is determined to obtain the ocean current change data within the preset period; Alternatively, under the condition that the degree of coincidence between the AUV collaborative detection time point and the time point at which abnormal data of the submarine cable appears within a preset time period is less than or equal to a preset degree of coincidence, the submarine cable is determined to be clean.

[0010] Furthermore, the control module determines the loss characteristic according to the local maximum temperature at the submarine cable loss location, wherein: Under the condition that the local maximum temperature at the submarine cable loss location is greater than the preset maximum temperature, the loss characteristic is determined to be a fracture loss characteristic. Or, under the condition that the local maximum temperature at the loss position of the submarine cable is less than or equal to a preset maximum temperature, the loss characteristic is determined to be a wear loss characteristic.

[0011] Furthermore, the preset maximum temperature is determined based on an average value of maximum temperatures of several submarine cables of the same type whose loss thickness is greater than a preset loss thickness range.

[0012] Furthermore, the adjustment module determines to adjust the AUV inspection interval and the viewing angle range and shooting frame rate of the image acquisition device carried by the AUV based on the judgment result of the abnormal ocean current data within a preset period.

[0013] Furthermore, the adjustment module determines that the abnormal ocean current data within the preset period includes ocean current data that is greater than an average value of ocean current data in a corresponding time period in a historical database.

[0014] Furthermore, the adjustment amount of the AUV inspection interval is negatively correlated with the ocean current data, the viewing angle range of the image acquisition device carried by the AUV is positively correlated with the ocean current data, and the shooting frame rate of the image acquisition device carried by the AUV is positively correlated with the ocean current data.

[0015] Further, the AUV collaborative detection module determines that the submarine cable has abnormal data including that the temperature data of the submarine cable is not within a preset temperature data range or the vibration data of the submarine cable is not within a preset vibration data range.

[0016] Compared with the prior art, the beneficial effect of the present invention lies in that, by clearly judging whether a loss has occurred based on the breakage and bending deformation of the cable in the image data, the present invention can accurately provide a basis for the subsequent determination of the loss type judgment parameters. When it is determined that the cable has been lost, the focus is on the analysis of the loss thickness and loss characteristics. These two parameters are crucial for evaluating the degree and nature of cable damage. If it is judged that the cable has not been lost, the coincidence of the AUV collaborative detection time point and the cable abnormal data time point is used as a judgment parameter. The law of cable abnormalities is analyzed from the time dimension, which helps to identify potential and difficult to detect problems.

[0017] Furthermore, the present invention can accurately judge the loss type of the submarine cable by clarifying the judgment parameters such as loss thickness, loss characteristics, and the overlap between the AUV collaborative detection time point and the submarine cable abnormal data time point and comparing them with the corresponding threshold values. For example, when the loss thickness is greater than the preset loss thickness, or the loss thickness is small but the loss characteristics are potential break loss characteristics, the control module quickly issues a repair warning, so that the operation and maintenance personnel can know the serious problems of the cable at the first time, carry out emergency repairs in time, avoid serious consequences such as power outages caused by cable failures, and ensure the stable operation of the submarine cable. When it is judged to be a potential wear loss characteristic, the collection interval of the cable temperature data and vibration data is shortened to half of the original time, so that data can be acquired more intensively and subtle changes that may be caused by wear can be captured in time, which is helpful to discover hidden dangers in advance and prevent them. The system provides data support for maintenance and improves the monitoring accuracy of the health status of submarine cables. The overlap between the AUV collaborative detection time point and the submarine cable abnormal data time point within a preset time period is introduced as the judgment basis, which cleverly deals with the randomness of marine organisms gnawing on cables. Since the biological gnawing behavior may be interrupted during the AUV inspection, the probability of directly detecting biological destructive behavior is low. Through the overlap judgment, when the overlap is less than or equal to the preset overlap, it is determined that the submarine cable is gnawing by submarine organisms. When the overlap is greater than the preset overlap, it is determined that the submarine cable is due to abnormal changes in ocean current data, resulting in abnormal temperature data and vibration data of the submarine cable. The above method improves the accuracy of submarine cable loss analysis and thus improves the accuracy of control of the lost cable processing process.

[0018] Furthermore, the present invention can accurately determine whether the ocean current is abnormal by comparing the real-time monitored ocean current speed data with the average value of the corresponding time period in the historical database. Once an abnormality is found, the AUV inspection interval, the viewing angle range of the image acquisition device and the shooting frame rate are immediately adjusted. For example, when the ocean current is abnormal, the AUV inspection interval can be shortened to timely discover potential damage to the submarine cable caused by the abnormal ocean current; the viewing angle range of the image acquisition device can be expanded to more comprehensively capture the complex environmental changes around the cable; the shooting frame rate can be increased to clearly record the subtle changes of the cable under the influence of abnormal ocean currents. All of these greatly improve the accuracy of submarine cable status monitoring. The above method improves the accuracy of submarine cable loss analysis and thus improves the accuracy of control of the loss cable processing process. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a schematic diagram of the structure of an online submarine cable loss detection system according to an embodiment of the present invention; Figure 2 It is a structural schematic diagram of a sensor integration module in an online submarine cable loss detection system according to an embodiment of the present invention; Figure 3This is a working flow diagram of a data analysis module in an online submarine cable loss detection system according to an embodiment of the present invention; Figure 4 The following is a flowchart of the adjustment module in the online submarine cable loss detection system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0021] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0022] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the term "connected" should be understood in a broad sense, for example, it can be directly connected, or indirectly connected through an intermediate medium, or it can be the internal connection of two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0023] See also Figure 1-Figure 4 As shown, Figure 1 This is a schematic diagram of the structure of an online submarine cable loss detection system according to an embodiment of the present invention; Figure 2 It is a structural schematic diagram of a sensor integration module in an online submarine cable loss detection system according to an embodiment of the present invention; Figure 3 This is a working flow diagram of a data analysis module in an online submarine cable loss detection system according to an embodiment of the present invention; Figure 4 The following is a flowchart of the adjustment module in the online submarine cable loss detection system according to an embodiment of the present invention.

[0024] The submarine cable loss online detection system according to the embodiment of the present invention comprises: A sensor integrated module, comprising a vibration detection unit for acquiring vibration data of the submarine cable and a temperature detection unit for acquiring temperature data of the submarine cable; An AUV collaborative detection module, which is connected to the sensor integration module and is used to collect image data of the submarine cable location area where abnormal temperature data or abnormal vibration data exists; A data analysis module, which is connected to the AUV collaborative detection module and is used to determine a loss type judgment parameter based on whether the submarine cable in the collected image data is damaged; A control module connected to the data analysis module, for adjusting the collection interval of cable temperature data and vibration data according to the comparison result of the corresponding loss type judgment parameter and the corresponding preset threshold value, or cleaning the submarine cable and obtaining the ocean current change data within a preset period; An adjustment module, which is connected to the control module, the sensor integration module and the AUV collaborative detection module respectively, and is used to determine the adjustment of the AUV inspection interval and the viewing angle range and shooting frame rate of the image acquisition device carried by the AUV according to the abnormal ocean current change data within a preset period; The loss type judgment parameter is determined according to the loss status of the submarine cable.

[0025] In the embodiment of the present invention, the temperature detection unit may be selected as a thermocouple temperature sensor, the vibration detection unit may be selected as a piezoelectric vibration sensor, and the AUV is an autonomous underwater vehicle.

[0026] The AUV collaborative detection module in the embodiment of the present invention determines that the abnormal data of the submarine cable includes that the temperature data of the submarine cable is not within the preset temperature data range or the vibration data of the submarine cable is not within the preset vibration data range, the preset temperature data range is the lowest temperature and the highest temperature when several submarine cables of the same type are not lost, and the preset vibration data range is the minimum vibration and the maximum vibration when several submarine cables of the same type are not lost. For example, assuming that there is a group of submarine cables of the same type, through long-term monitoring and data analysis, the temperature data when they are not lost are statistically obtained. For example, under normal operating conditions, the temperature range of these cables is between 15°C and 35°C. Therefore, for the submarine cable of the same type currently being monitored, the preset temperature data range is set to 15°C-35°C. If the temperature data of the submarine cable obtained by the AUV collaborative detection module is 10°C, which is lower than the lower limit of the preset temperature data range of 15°C, then it can be judged that the submarine The temperature data of the cable is abnormal, and it is determined that there is abnormal data in the submarine cable. Assuming that after monitoring and analyzing the vibration data of multiple submarine cables of the same type when there is no loss, it is determined that the vibration range is between 0.1-0.5g (g is the acceleration of gravity). Then, for the submarine cable currently monitored, the preset vibration data range is 0.1-0.5g. When the vibration data obtained by the AUV collaborative detection module is 0.05g, which is less than the lower limit of the preset vibration data range of 0.1g, it can be judged that the vibration data of the submarine cable is abnormal, indicating that there is abnormal data in the submarine cable. Conversely, if the obtained vibration data is 0.7g, which is greater than the upper limit of the preset vibration data range of 0.5g, it can also be judged that the vibration data of the submarine cable is abnormal, that is, it is determined that there is abnormal data in the submarine cable. Alternatively, if the obtained temperature data is 40℃, which is higher than the upper limit of the preset temperature data range of 35℃, it can also be judged that the temperature data of the submarine cable is abnormal, which means that there is abnormal data in the submarine cable.

[0027] Specifically, the data analysis module determines the loss type judgment parameter based on whether the submarine cable with abnormal data has a loss, under the condition that the loss type judgment parameter is determined; If the submarine cable loss status is that the submarine cable is lost, the data analysis module determines that the loss type judgment parameters are loss thickness and loss characteristics; If the submarine cable loss status is that the submarine cable has not been lost, the data analysis module determines that the loss type judgment parameter is the coincidence degree between the AUV collaborative detection time point and the time point when abnormal data of the submarine cable appears within a preset time length.

[0028] In the embodiment of the present invention, the preset time length is set to 2 days, and the overlap between the AUV collaborative detection time point and the time point when abnormal data appears in the submarine cable within the preset time length is the ratio of the overlap time between the time period when abnormal data appears in the cable within the preset time length and the AUV collaborative detection time period to the AUV collaborative detection time length. For example, assuming that the AUV performs multiple collaborative detections within these two days, the total cumulative detection time is 20 hours (considering that the AUV may perform detections intermittently, and the length of each detection time is different). At the same time, the time period when abnormal data appears in the cable within these two days is 8 hours, and the overlap time with the AUV collaborative detection is 5 hours. The overlap degree = overlap time (5 hours) / AUV collaborative detection time (20 hours) = 0.25.

[0029] In the embodiment of the present invention, whether the submarine cable is damaged can be determined by observing whether the submarine cable in the image data is damaged or bent and deformed.

[0030] The present invention can accurately provide a basis for the subsequent determination of loss type judgment parameters by clearly judging whether there is loss based on the breakage and bending deformation of the cable in the image data. When it is determined that the cable has suffered loss, the analysis of loss thickness and loss characteristics is focused on. These two parameters are crucial for evaluating the degree and nature of cable damage. If it is determined that there is no loss in the cable, the degree of overlap between the AUV collaborative detection time point and the cable abnormal data time point is used as a judgment parameter to analyze the law of cable abnormalities from the time dimension, which is helpful to identify potential and difficult to detect problems.

[0031] Specifically, the control module determines the loss handling method according to the comparison result between the corresponding loss type judgment parameter and the corresponding preset threshold value under the condition of determining the loss handling method; If the loss thickness is greater than the preset loss thickness, or the loss thickness is less than or equal to the preset loss thickness and the loss feature is a potential fracture loss feature, the control module determines to issue a repair warning; If the loss thickness is less than or equal to the preset loss thickness and the loss feature is a potential wear loss feature, the control module determines to adjust the collection interval of the cable temperature data and vibration data to half of the original collection interval; If the overlap between the AUV collaborative detection time point and the abnormal data time point of the submarine cable within the preset time period is greater than the preset overlap, the control module determines to obtain the ocean current change data within the preset period; If the overlap between the AUV collaborative detection time point and the time point at which abnormal data appears in the submarine cable within the preset time period is less than or equal to the preset overlap, the control module determines to clean the submarine cable.

[0032] The preset loss thickness in the embodiment of the present invention is the average value of the loss thickness of several submarine cables of the same type when they are repaired and replaced. The value range of the preset overlap is set to 0.03-0.2, and the value of the preset overlap is preferably 0.1, but the above value is not limited to this. Those skilled in the art can also adjust the value according to actual needs.

[0033] Specifically, the control module determines the loss feature based on a comparison result between a local maximum temperature at the loss position of the submarine cable and a preset maximum temperature under the condition of determining the loss feature; If the local maximum temperature at the submarine cable loss location is greater than the preset maximum temperature, the loss characteristic is determined to be a fracture loss characteristic; If the local maximum temperature at the loss position of the submarine cable is less than or equal to the preset maximum temperature, it is determined that the loss characteristic is a wear loss characteristic.

[0034] The preset maximum temperature in the embodiment of the present invention is the average value of the maximum temperature of several submarine cables of the same type whose loss thickness is greater than the preset loss thickness range, but the above value is not limited to this, and technicians in this field can also adjust the value according to actual needs.

[0035] The present invention can accurately judge the loss type of the submarine cable by clarifying the judgment parameters such as loss thickness, loss characteristics, and the overlap between the AUV collaborative detection time point and the submarine cable abnormal data time point and comparing them with the corresponding threshold values. For example, when the loss thickness is greater than the preset loss thickness, or the loss thickness is small but the loss characteristics are potential break loss characteristics, the control module quickly issues a repair warning, so that the operation and maintenance personnel can know the serious problems of the cable at the first time and carry out emergency repairs in time to avoid serious consequences such as power outages caused by cable failures, and ensure the stable operation of the submarine cable. When it is judged to be a potential wear loss characteristic, the collection interval of the cable temperature data and vibration data is shortened to half of the original time, so that data can be acquired more intensively and subtle changes that may be caused by wear can be captured in time, which is helpful to discover hidden dangers in advance and prevent them. The system provides data support for maintenance and improves the monitoring accuracy of the health status of submarine cables. The overlap between the AUV collaborative detection time point and the submarine cable abnormal data time point within a preset time period is introduced as the judgment basis, which cleverly deals with the randomness of marine organisms gnawing on cables. Since the biological gnawing behavior may be interrupted during the AUV inspection, the probability of directly detecting biological destructive behavior is low. Through the overlap judgment, when the overlap is less than or equal to the preset overlap, it is determined that the submarine cable is gnawing by submarine organisms. When the overlap is greater than the preset overlap, it is determined that the submarine cable is due to abnormal changes in ocean current data, resulting in abnormal temperature data and vibration data of the submarine cable. The above method improves the accuracy of submarine cable loss analysis and thus improves the accuracy of control of the lost cable processing process.

[0036] Specifically, the adjustment module determines whether to adjust the AUV inspection interval, the viewing angle range, and the shooting frame rate of the image acquisition device carried by the AUV, based on whether the ocean current data within a preset period is abnormal, under the condition of determining whether to adjust the AUV inspection interval, the viewing angle range, and the shooting frame rate of the image acquisition device carried by the AUV; If the ocean current data is abnormal within the preset period, the adjustment module determines to adjust the AUV inspection interval and the viewing angle range and shooting frame rate of the image acquisition device carried by the AUV; If there is no abnormality in the ocean current data within the preset period, the adjustment module determines that there is no need to adjust the AUV inspection interval and the viewing angle range and shooting frame rate of the image acquisition device carried by the AUV.

[0037] The ocean current data in the embodiment of the present invention is ocean current speed data. The adjustment module determines that the ocean current data abnormalities within the preset period include ocean current data that is greater than the average value of the ocean current data for the corresponding time period in the historical database. For example, by analyzing the historical data, it is found that the average value of the ocean current speed in the sea area during the day is 0.4 m / s. During a certain daytime period within the preset period, if the monitored ocean current speed continues to exceed 0.6 m / s, the ocean current speed is abnormal; and the normal average ocean current speed at night is 0.3 m / s. If the monitored ocean current speed is greater than 0.4 m / s at night, the ocean current speed is abnormal.

[0038] Specifically, the adjustment module determines to adjust the AUV inspection interval duration with a first adjustment coefficient and to adjust the viewing angle range and shooting frame rate of the image acquisition device carried by the AUV with a second adjustment coefficient, under the condition that the AUV inspection interval duration and the viewing angle range and shooting frame rate of the image acquisition device carried by the AUV are adjusted.

[0039] In the embodiment of the present invention, the value of the preset period is preferably 20 days, the value range of the first adjustment coefficient is set to 0.83-0.96, the value of the first adjustment coefficient is preferably 0.88, the value range of the second adjustment coefficient is set to 1.03-1.19, the value of the second adjustment coefficient is preferably 1.11, the adjustment amount of the AUV inspection interval is negatively correlated with the ocean current data, the viewing angle range of the image acquisition device carried by the AUV is positively correlated with the ocean current data, and the shooting frame rate of the image acquisition device carried by the AUV is positively correlated with the ocean current data, but the above values ​​are not limited to this, and those skilled in the art can also adjust the values ​​according to actual needs.

[0040] The present invention can accurately determine whether the ocean current is abnormal by comparing the real-time monitored ocean current speed data with the average value of the corresponding time period in the historical database. Once an abnormality is found, the AUV inspection interval, the viewing angle range of the image acquisition device and the shooting frame rate are immediately adjusted. For example, when the ocean current is abnormal, the AUV inspection interval can be shortened to timely discover potential damage to the submarine cable caused by the abnormal ocean current; the viewing angle range of the image acquisition device can be expanded to more comprehensively capture the complex environmental changes around the cable; the shooting frame rate can be increased to clearly record the subtle changes of the cable under the influence of abnormal ocean currents. All of these greatly improve the accuracy of submarine cable status monitoring. The above method improves the accuracy of submarine cable loss analysis and thus improves the accuracy of the control of the lost cable processing process.

[0041] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0042] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An online detection system for submarine cable loss, characterized in that: include: A sensor integrated module, comprising a vibration detection unit for acquiring vibration data of the submarine cable and a temperature detection unit for acquiring temperature data of the submarine cable; An AUV collaborative detection module, which is connected to the sensor integration module and is used to collect image data of the submarine cable location area where abnormal temperature data or abnormal vibration data exists; A data analysis module, which is connected to the AUV collaborative detection module and is used to determine a loss type judgment parameter based on whether the submarine cable in the collected image data is damaged; A control module connected to the data analysis module, for adjusting the collection interval of cable temperature data and vibration data according to the comparison result of the corresponding loss type judgment parameter and the corresponding preset threshold value, or cleaning the submarine cable and obtaining the ocean current change data within a preset period; An adjustment module, which is connected to the control module, the sensor integration module and the AUV collaborative detection module respectively, and is used to determine the adjustment of the AUV inspection interval and the viewing angle range and shooting frame rate of the image acquisition device carried by the AUV according to the abnormal ocean current change data within a preset period; The loss type judgment parameter is determined according to the loss status of the submarine cable.

2. The submarine cable loss online detection system according to claim 1, characterized in that: The data analysis module determines the loss type judgment parameter including: Under the condition that the submarine cable loss state is that the submarine cable is lost, determining the loss type judgment parameters as loss thickness and loss characteristics; Or, under the condition that the submarine cable loss state is that the submarine cable is not lost, the loss type judgment parameter is determined as the degree of coincidence between the AUV collaborative detection time point and the time point when abnormal data of the submarine cable appears within a preset time length.

3. The submarine cable loss online detection system according to claim 2, characterized in that: The control module determines to adjust the collection interval of the cable temperature data and the vibration data to half of the original collection interval based on the judgment result that the loss thickness is less than or equal to the preset loss thickness and the loss feature is a potential wear loss feature; The preset loss thickness is determined based on the average loss thickness of several submarine cables of the same type when they are repaired and replaced.

4. The submarine cable loss online detection system according to claim 3 is characterized in that: The control module determines the loss processing method based on the comparison result of the coincidence between the AUV collaborative detection time point and the abnormal data time point of the submarine cable within the preset time length and the preset coincidence, including: Under the condition that the coincidence degree between the AUV collaborative detection time point and the abnormal data time point of the submarine cable within the preset time length is greater than the preset coincidence degree, it is determined to obtain the ocean current change data within the preset period; Alternatively, under the condition that the degree of coincidence between the AUV collaborative detection time point and the time point at which abnormal data of the submarine cable appears within a preset time period is less than or equal to a preset degree of coincidence, the submarine cable is determined to be clean.

5. The submarine cable loss online detection system according to claim 3, characterized in that: The control module determines the loss characteristic according to the local maximum temperature at the submarine cable loss location, wherein: Under the condition that the local maximum temperature at the submarine cable loss location is greater than the preset maximum temperature, the loss characteristic is determined to be a fracture loss characteristic. Or, under the condition that the local maximum temperature at the loss position of the submarine cable is less than or equal to a preset maximum temperature, the loss characteristic is determined to be a wear loss characteristic.

6. The submarine cable loss online detection system according to claim 5, characterized in that: The preset maximum temperature is determined based on an average value of the maximum temperatures of a plurality of submarine cables of the same type whose loss thickness is greater than a preset loss thickness range.

7. The submarine cable loss online detection system according to claim 6, characterized in that: The adjustment module determines to adjust the AUV inspection interval and the viewing angle range and shooting frame rate of the image acquisition device carried by the AUV based on the judgment result of the abnormal ocean current data within a preset period.

8. The submarine cable loss online detection system according to claim 7, characterized in that: The adjustment module determines that the abnormal ocean current data within the preset period includes ocean current data that is greater than the average value of the ocean current data in the corresponding time period in the historical database.

9. The submarine cable loss online detection system according to claim 8, characterized in that: The adjustment amount of the AUV inspection interval is negatively correlated with the ocean current data, the viewing angle range of the image acquisition device carried by the AUV is positively correlated with the ocean current data, and the shooting frame rate of the image acquisition device carried by the AUV is positively correlated with the ocean current data.

10. The submarine cable loss online detection system according to claim 1, characterized in that: The AUV collaborative detection module determines that abnormal data exists in the submarine cable, including that the temperature data of the submarine cable is not within a preset temperature data range or the vibration data of the submarine cable is not within a preset vibration data range.

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