Cable channel anti-extrinsic damage monitoring method and system based on vibration monitoring

Abstract

The present application relates to the field of cable channel monitoring, and discloses a cable channel anti-external damage monitoring method and system based on vibration monitoring, the method comprising: respectively obtaining vibration data corresponding to multiple detection nodes of multiple cable channel routes; when the first vibration data corresponding to the first detection node meets the first detection condition, obtaining multiple adjacent node vibration data corresponding to multiple adjacent detection nodes in the first cable channel route to which the first detection node belongs; when at least one adjacent node vibration data does not meet the first detection condition, determining the first external damage risk value and the first risk type based on the first vibration data; when each adjacent node vibration data meets the first detection condition, determining the second external damage risk value and the second risk type based on the first vibration data and the vibration data of multiple adjacent nodes. The present application can issue an alarm signal in a timely manner and avoid false alarms caused by insufficient information in the detection signal of a single detection point.

Description

Technical Field

[0001] The present application relates to the technical field of cable channel monitoring, and more specifically, to a cable channel anti-external damage monitoring method and system based on vibration monitoring. Background Art

[0002] With urban development, underground pipelines such as cable ducts, telecommunications ducts, gas pipelines, and water conservancy pipelines are becoming increasingly widespread, and the scale of pipeline construction continues to expand. The safety of underground cable ducts plays a crucial role in urban development. However, with the increase in urban construction, the safety of cables laid under urban roads has also become a major concern. The risk of cable damage increases dramatically with the frequency of construction activities. Once cable ducts are damaged by external forces, they not only cause economic losses but can also lead to safety accidents and even loss of life. Preventing pipeline damage is a key preventive measure in the power industry and other industries, and preventing cable ducts from external damage has always been a focus of operations and maintenance departments.

[0003] During the construction, building, and commissioning process, underground cable channels are susceptible to damage from external forces, such as improper operation of construction machinery such as excavators and drilling equipment. Traditional protective measures mainly rely on manual inspections and the setting of warning signs, but these methods have certain limitations, such as high inspection costs, poor timeliness, and insignificant warning effects. At present, some barbaric construction teams forcibly excavate when they know that there are pipelines underground. Only after a fault occurs can the operation and maintenance center understand the on-site conditions and cannot locate the damaged location in time, let alone implement protective measures in time. In the existing technology, although there are some cable channel monitoring equipment, they often cannot issue alarm signals in time, or false alarms often occur due to insufficient information in the detection signal of a single detection point. Summary of the Invention

[0004] The purpose of this application is to provide a cable channel anti-external damage monitoring method and system based on vibration monitoring, which solves the technical problems of failure to issue alarm signals in a timely manner and frequent false alarms caused by insufficient information in the detection signal of a single detection point, and achieves the technical effect of issuing alarm signals in a timely manner and avoiding false alarms caused by insufficient information in the detection signal of a single detection point.

[0005] An embodiment of the present application provides a cable channel anti-fraud monitoring method based on vibration monitoring, the method comprising: respectively obtaining vibration data corresponding to multiple detection nodes of multiple cable channel routes; wherein, a cable channel route includes multiple detection nodes, and the vibration data is obtained by detection by a fracture monitoring module provided at the detection node; when first vibration data corresponding to a first detection node meets a first detection condition, obtaining vibration data of multiple adjacent nodes corresponding to multiple adjacent detection nodes in a first cable channel route to which the first detection node belongs; when vibration data of at least one adjacent node does not meet the first detection condition, determining a first fracture risk value and a first risk type based on the first vibration data through a first monitoring model; when vibration data of each adjacent node meets the first detection condition, determining a second fracture risk value and a second risk type based on the first vibration data and vibration data of multiple adjacent nodes through a second monitoring model; when the first fracture risk value is greater than or equal to a preset first fracture risk value, issuing a first fracture risk warning message corresponding to the first detection node; when the second fracture risk value is greater than or equal to a preset second fracture risk value, issuing a second fracture risk warning message corresponding to the first detection node; wherein the first detection condition includes that the vibration amplitude of the node detection is greater than or equal to the preset vibration amplitude.

[0006] In one possible implementation, the method also includes: when the vibration data of at least one adjacent node does not meet the first detection condition, determining a second cable channel route that intersects with the first cable channel route to which the first detection node belongs, and obtaining second vibration data corresponding to a preset number of second detection nodes in the second cable channel route that are closest to the first detection node; through a second monitoring model, determining a third external damage risk value and a third risk type based on the first vibration data and the second vibration data of a preset number of nodes; when the third external damage risk value is greater than or equal to the preset third external damage risk value, issuing a third external damage risk warning information corresponding to the first detection node; wherein the third external damage risk warning information includes the second cable channel route information.

[0007] In another possible implementation, the method also includes: when the third external damage risk value is less than the preset third external damage risk value, determining the preset number of correction nodes according to the third risk type; obtaining second vibration data corresponding to the second detection nodes with a preset number of correction nodes closest to the first detection node in the second cable channel route; determining the third external damage risk value and the third risk type according to the first vibration data and the second vibration data of the preset number of correction nodes through the second monitoring model; when the third external damage risk value is greater than or equal to the preset third external damage risk value, issuing a third external damage risk warning information corresponding to the first detection node.

[0008] In another possible implementation, the method also includes: when the second external damage risk value is less than the preset second external damage risk value, and when the third external damage risk value is less than the preset third external damage risk value, determining the preset correction node number according to the first risk type and the second risk type through the node number correction model; obtaining second vibration data corresponding to a plurality of second detection nodes in the second cable channel route that are closest to the first detection node by a preset correction node number; determining the third external damage risk value and the third risk type according to the first vibration data and the second vibration data of the preset correction node number through the second monitoring model; when the third external damage risk value is greater than or equal to the preset third external damage risk value, issuing a third external damage risk warning message corresponding to the first detection node.

[0009] In another possible implementation, the method also includes: when the first external damage risk value is less than the preset first external damage risk value, the second external damage risk value is less than the preset second external damage risk value, and the third external damage risk value is less than the preset third external damage risk value; through the node quantity correction model, according to the first external damage risk value, the first risk type, the second external damage risk value, the second risk type, the third external damage risk value and the third risk type, determine the preset correction node number; obtain second vibration data corresponding to a plurality of second detection nodes in the second cable channel route that are closest to the first detection node and the preset correction node number; through the second monitoring model, according to the first vibration data and the second vibration data of the preset correction node number, determine the third external damage risk value and the third risk type; when the third external damage risk value is greater than or equal to the preset third external damage risk value, issue a third external damage risk warning information corresponding to the first detection node.

[0010] In another possible implementation, a third external damage risk value and a third risk type are determined through a second monitoring model based on the first vibration data and the second vibration data with a preset number of correction nodes, including: obtaining first historical vibration data corresponding to the first cable channel route, and obtaining second historical vibration data corresponding to the second cable channel route; determining a second vibration correction factor corresponding to the second vibration data through a vibration pattern recognition model based on the first historical vibration data and the second historical vibration data; determining a third external damage risk value and a third risk type through a second monitoring model based on the first vibration data, the second vibration data with a preset number of correction nodes, and the second vibration correction factor.

[0011] In another possible implementation, a third external damage risk value and a third risk type are determined through a second monitoring model based on the first vibration data and the second vibration data with a preset number of correction nodes, and the method also includes: obtaining the first historical vibration data corresponding to the third risk type of the first cable channel route, and obtaining the second historical vibration data corresponding to the third risk type of the second cable channel route; determining the second vibration correction factor corresponding to the second vibration data through a vibration pattern recognition model based on the third risk type, the first historical vibration data and the second historical vibration data; determining the third external damage risk value and the third risk type through a second monitoring model based on the first vibration data, the second vibration data with a preset number of correction nodes and the second vibration correction factor.

[0012] In another possible implementation, the method also includes: obtaining a third false alarm rate corresponding to the third external damage risk warning information through on-site feedback information corresponding to the third external damage risk warning information; when the third false alarm rate is greater than or equal to the preset third false alarm rate, obtaining the first node false alarm rate corresponding to the first cable channel route at the first detection node, and obtaining the second node false alarm rate corresponding to the second cable channel route at the first detection node; when the first node false alarm rate is greater than or equal to the preset first node false alarm rate, issuing a prompt information for adding a detection node to the first cable channel route within the monitoring area corresponding to the first detection node; when the second node false alarm rate is greater than or equal to the preset second node false alarm rate, issuing a prompt information for adding a detection node to the second cable channel route within the monitoring area corresponding to the first detection node.

[0013] In another possible implementation, the method also includes: when the false alarm rate of the first node is greater than or equal to the preset first node false alarm rate, and the false alarm rate of the second node is greater than or equal to the preset second node false alarm rate, issuing a prompt message to re-layout all detection nodes in the monitoring area corresponding to the first detection node.

[0014] An embodiment of the present application further provides a cable channel anti-external damage monitoring system based on vibration monitoring, comprising a unit for executing any of the methods described above.

[0015] Compared with the prior art, the embodiments of the present application have the following beneficial effects:

[0016] An embodiment of the present application provides a cable channel anti-extrinsic damage monitoring method based on vibration monitoring, the method comprising: respectively obtaining vibration data corresponding to multiple detection nodes of multiple cable channel routes; wherein, a cable channel route includes multiple detection nodes, and the vibration data is obtained by detection by an external damage monitoring module provided at the detection node; when first vibration data corresponding to a first detection node meets a first detection condition, obtaining vibration data of multiple adjacent nodes corresponding to multiple adjacent detection nodes in a first cable channel route to which the first detection node belongs; when vibration data of at least one adjacent node does not meet the first detection condition, determining a first external damage risk value and a first risk type based on the first vibration data through a first monitoring model; when the vibration data of each adjacent node meets the first detection condition, determining a second external damage risk value and a second risk type based on the first vibration data and the vibration data of multiple adjacent nodes through a second monitoring model; when the first external damage risk value is greater than or equal to a preset first external damage risk value, issuing a first external damage risk warning message corresponding to the first detection node; when the second external damage risk value is greater than or equal to a preset second external damage risk value, issuing a second external damage risk warning message corresponding to the first detection node; wherein the first detection condition includes that the vibration amplitude detected by the node is greater than or equal to the preset vibration amplitude. The method in the embodiment of the present application can issue an alarm signal more promptly, and at the same time can filter the vibration data of adjacent nodes of the first detection node according to the first detection condition, so as to avoid the interference of the vibration data of adjacent nodes on the detection results, and fully ensure the accuracy of monitoring the external damage of the cable channel. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or descriptions of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0018] Figure 1 A schematic flow chart of a first method for monitoring cable channel external damage prevention based on vibration monitoring provided in an embodiment of the present application;

[0019] Figure 2 Schematic diagram of a cable channel used in a cable channel anti-breakage monitoring method based on vibration monitoring in an embodiment of the present application;

[0020] Figure 3 A schematic flow chart of a second method for monitoring cable channel damage prevention based on vibration monitoring provided in an embodiment of the present application;

[0021] Figure 4A schematic flow chart of a third method for monitoring cable channel damage prevention based on vibration monitoring provided in an embodiment of the present application;

[0022] Figure 5 A schematic diagram of the logical structure of a cable channel anti-external damage monitoring system based on vibration monitoring provided in an embodiment of the present application. DETAILED DESCRIPTION

[0023] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections thereof.

[0024] It will also be understood that the term "and / or" used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0025] As used in this specification and the appended claims, the term "if" can be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of [described condition or event]" or "in response to detecting [described condition or event]," depending on the context.

[0026] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0027] References to "one embodiment" or "some embodiments" in this specification mean that a particular feature, structure, or characteristic described in conjunction with that embodiment is included in one or more embodiments of the present application. Thus, phrases such as "in one embodiment," "in some embodiments," "in other embodiments," and "in other embodiments" appearing in various places in this specification do not necessarily refer to the same embodiment, but rather mean "one or more but not all embodiments," unless otherwise specifically emphasized. The terms "including," "comprising," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0028] In the prior art, although there are some cable channel monitoring devices, they are often unable to send out alarm signals in a timely manner, or false alarms often occur due to insufficient information content of the detection signal from a single detection point.

[0029] Based on the above reasons, an embodiment of the present application provides a cable channel anti-external damage monitoring method based on vibration monitoring, the method comprising: respectively obtaining vibration data corresponding to multiple detection nodes of multiple cable channel routes; wherein, a cable channel route includes multiple detection nodes, and the vibration data is obtained by detection by an external damage monitoring module arranged at the detection node; when the first vibration data corresponding to the first detection node meets the first detection condition, obtaining vibration data of multiple adjacent nodes corresponding to multiple adjacent detection nodes in the first cable channel route to which the first detection node belongs; when there is at least one adjacent node vibration data that does not meet the first detection condition, through the first monitoring model, According to the first vibration data, the first external damage risk value and the first risk type are determined; when the vibration data of each adjacent node meets the first detection condition, the second external damage risk value and the second risk type are determined according to the first vibration data and the vibration data of multiple adjacent nodes through the second monitoring model; when the first external damage risk value is greater than or equal to the preset first external damage risk value, the first external damage risk warning information corresponding to the first detection node is issued; when the second external damage risk value is greater than or equal to the preset second external damage risk value, the second external damage risk warning information corresponding to the first detection node is issued; wherein, the first detection condition includes that the vibration amplitude of the node detection is greater than or equal to the preset vibration amplitude. The method in the embodiment of the present application can send an alarm signal more timely, and at the same time can filter the vibration data of the adjacent nodes of the first detection node according to the first detection condition, so as to avoid the adjacent node vibration data from interfering with the detection result, and fully ensure the accuracy of the cable channel external damage monitoring.

[0030] In some scenarios, a cable channel anti-breakage monitoring method based on vibration monitoring in an embodiment of the present application can be applied to the breakage monitoring of underground cable channels in cities. It can provide timely alarms for cable channel breakage caused by construction, thereby improving the accuracy of cable channel breakage monitoring.

[0031] The following describes in detail a cable channel anti-external damage monitoring method based on vibration monitoring provided in an embodiment of the present application with reference to specific examples.

[0032] Figure 1 The flowchart of the first cable channel anti-breakage monitoring method based on vibration monitoring provided in the embodiment of the present application is as follows: Figure 1 As shown, the cable channel anti-external damage monitoring method based on vibration monitoring includes S110 to S120, and S110 to S120 are described in detail below.

[0033] S110: Obtain vibration data corresponding to multiple detection nodes of multiple cable channel routes, wherein one cable channel route includes multiple detection nodes, and the vibration data is obtained by detecting an external damage monitoring module located at the detection node.

[0034] In this implementation, during the daily operation of the cable channel, vibration data corresponding to multiple detection nodes can be continuously obtained. The vibration data reflects the vibration conditions of each detection point along the cable channel. Obtaining this data helps to comprehensively monitor the operating status of the cable channel.

[0035] For example, vibration data can be collected in real time through a vibration module with an acceleration sensor installed at the detection node, thereby achieving comprehensive monitoring of the risk of external damage in the cable channel.

[0036] S120. When the first vibration data corresponding to the first detection node meets the first detection condition, obtain multiple adjacent node vibration data corresponding to multiple adjacent detection nodes in the first cable channel route to which the first detection node belongs. When at least one adjacent node vibration data does not meet the first detection condition, determine the first external damage risk value and the first risk type based on the first vibration data through the first monitoring model. When each adjacent node vibration data meets the first detection condition, determine the second external damage risk value and the second risk type based on the first vibration data and the vibration data of multiple adjacent nodes through the second monitoring model. When the first external damage risk value is greater than or equal to the preset first external damage risk value, issue the first external damage risk warning information corresponding to the first detection node. When the second external damage risk value is greater than or equal to the preset second external damage risk value, issue the second external damage risk warning information corresponding to the first detection node. Wherein, the first detection condition includes that the vibration amplitude of the node detection is greater than or equal to the preset vibration amplitude.

[0037] In this implementation, when the first vibration data corresponding to the first detection node meets the first detection condition, the vibration data of its adjacent detection nodes can be further obtained, which can avoid false alarms caused by abnormal vibration of a single node and improve the accuracy of monitoring.

[0038] Exemplarily, the first detection condition may include that the vibration amplitude detected by the node is greater than or equal to a preset vibration amplitude. The preset vibration amplitude may be set according to historical monitoring data to distinguish between normal vibration and abnormal vibration.

[0039] In this implementation, when the vibration data of at least one adjacent node does not meet the first detection condition, it means that the detection result may be inaccurate through the vibration data of the adjacent node, and then the first external damage risk value and the first risk type can be directly determined according to the first vibration data through the first monitoring model.

[0040] For example, the first monitoring model can be a classification model based on machine learning, which determines the risk of external damage by analyzing the vibration characteristics of a single node. For example, the first monitoring model can be trained using sample vibration data and corresponding external damage risk values.

[0041] In this implementation, when the vibration data of each adjacent node meets the first detection condition, the second external damage risk value and the second risk type can be determined through the second monitoring model based on the first vibration data and the vibration data of multiple adjacent nodes. The second monitoring model can consider the vibration characteristics of multiple nodes to more comprehensively evaluate the external damage risk.

[0042] For example, the second monitoring model can be obtained by training a combination of sample vibration data and corresponding external damage risk values.

[0043] For another example, the second monitoring model may be a graph neural network model, and the second monitoring model may be trained by graph data formed by combining sample vibration data and corresponding external damage risk values.

[0044] In this implementation, when the first external damage risk value is greater than or equal to the preset first external damage risk value, the first external damage risk warning information corresponding to the first detection node is issued; when the second external damage risk value is greater than or equal to the preset second external damage risk value, the second external damage risk warning information corresponding to the first detection node is issued, and corresponding warning signals can be issued for different situations.

[0045] It should be noted that the preset first external breakage risk value and the second external breakage risk value may be the same or different, and the embodiment of the present application does not limit the alarm thresholds monitored by the first monitoring model and the second monitoring model.

[0046] The beneficial effect of the above implementation method is that it can monitor the external damage of the cable channel based on the vibration data of the adjacent nodes of the first detection node, greatly improving the accuracy of vibration monitoring at the first detection node and being able to issue an alarm signal more promptly.

[0047] The beneficial effect of the above-mentioned implementation method is that when the vibration data of at least one adjacent node of the first detection node does not meet the first detection condition, the first external damage risk value and the first risk type are determined based on the first vibration data; when the vibration data of each adjacent node of the first detection node meets the first detection condition, the second external damage risk value and the second risk type are determined based on the first vibration data and the vibration data of multiple adjacent nodes; the vibration data of the adjacent nodes of the first detection node can be screened according to the first detection condition to avoid interference of the adjacent node vibration data on the detection results, thereby fully ensuring the accuracy of external damage monitoring of the cable channel.

[0048] The beneficial effect brought about by the above-mentioned implementation method is that, by setting the first monitoring model and the second monitoring model, different risk assessment methods can be adopted according to different vibration conditions, thereby improving the targeted nature of the risk assessment. At the same time, both single node abnormality and multiple node abnormalities are taken into account, thereby achieving more comprehensive external damage risk monitoring.

[0049] In some implementations, the above method further includes S130 to S140, which are described in detail below.

[0050] S130. When the vibration data of at least one adjacent node does not meet the first detection condition, determine a second cable channel route that intersects with the first cable channel route to which the first detection node belongs, and obtain second vibration data corresponding to a preset number of second detection nodes in the second cable channel route that are closest to the first detection node.

[0051] In this implementation, when the vibration data of at least one adjacent node does not meet the first detection condition, it means that the accuracy of cable channel external damage monitoring through the vibration data of the adjacent nodes of the first cable channel route may be insufficient. A second cable channel route that intersects with the first cable channel route to which the first detection node belongs can be determined. The second cable channel route can be other cable channels that physically intersect or spatially overlap with the first cable channel route. By identifying the intersecting routes, the monitoring range can be expanded to cover other construction activity areas that may affect the first detection node.

[0052] Figure 2 Schematic diagram of a cable channel used in a cable channel anti-breakage monitoring method based on vibration monitoring in an embodiment of the present application, as shown in FIG. Figure 2 As shown, the first cable channel route M and the second cable channel route N intersect. The first cable channel route M includes multiple detection nodes such as M1, M2, and M3, and the second cable channel route N includes multiple detection nodes such as N1, N2, and N3.

[0053] When obtaining the second vibration data corresponding to a preset number of second detection nodes that are closest to the first detection node in the second cable channel route, the distances between the second detection nodes and the first detection nodes in the second cable channel route can be sorted in ascending order, and the preset number of second detection nodes that are closest to the first detection node in the second cable channel route can be obtained according to the sorting order.

[0054] like Figure 2 As shown, when obtaining the second vibration data corresponding to the preset number of second detection nodes closest to the first detection node M3 in the second cable channel route N, the second vibration data corresponding to the second detection nodes N2, N3, N4 and N5 can be obtained.

[0055] After determining multiple second detection nodes, second vibration data corresponding to multiple second detection nodes of a preset number of nodes within the second cable channel route that are closest to the first detection node can be obtained. By selecting the node closest to the first detection node, it can be ensured that the vibration data with the highest correlation is collected.

[0056] Exemplarily, the number of preset nodes may be set according to monitoring accuracy requirements and computing resources, for example, 3-5 nearest nodes may be selected.

[0057] S140. Determine, using the second monitoring model, a third external damage risk value and a third risk type based on the first vibration data and second vibration data from a preset number of nodes. When the third external damage risk value is greater than or equal to the preset third external damage risk value, issue a third external damage risk warning message corresponding to the first detection node. The third external damage risk warning message includes the second cable channel route information.

[0058] In this implementation, after obtaining the second vibration data of a preset number of nodes, the third external damage risk value and the third risk type can be determined by the second monitoring model based on the first vibration data and the second vibration data of the preset number of nodes.

[0059] Exemplarily, the second monitoring model may be a machine learning model based on random forests. The second monitoring model may be trained through historical vibration data, historical external failure risk values, and historical risk types, and may be capable of comprehensively analyzing vibration characteristics of multiple nodes.

[0060] When the third external damage risk value is greater than or equal to the preset third external damage risk value, the third external damage risk warning information corresponding to the first detection node can be issued. The third external damage risk warning information includes the second cable channel route information, so that the operation and maintenance personnel can quickly locate the construction area that may cause external damage risks and intersects with the second cable channel route.

[0061] For example, the preset third external damage risk value may be set based on historical external damage event data to ensure the accuracy of the early warning.

[0062] The beneficial effect of the above-mentioned implementation method is that the second cable channel route intersecting with the first cable channel route to which the first detection node belongs is obtained, and the second vibration data corresponding to multiple second detection nodes of a preset number of nodes in the second cable channel route that are closest to the first detection node are obtained, and the external damage status is monitored by the second vibration data, thereby realizing external damage monitoring of the construction route that may intersect or overlap with the first cable channel route to which the first detection node belongs, and further improving the accuracy of external damage monitoring.

[0063] The beneficial effect of the above-mentioned implementation method is that the third external damage risk value and the third risk type are determined based on the first vibration data and the second vibration data of a preset number of nodes, and comprehensive monitoring can be performed based on the vibration data of the first detection node and the second detection node, thereby improving the accuracy of external damage monitoring.

[0064] The beneficial effect brought about by the above implementation method is that the third external damage risk warning information issued includes the second cable channel route information, which can help operation and maintenance personnel quickly locate the risk source.

[0065] In some implementations, the above method further includes S150 to S160, which are described in detail below.

[0066] S150: When the third external failure risk value is less than the preset third external failure risk value, determine a preset number of correction nodes according to the third risk type.

[0067] During the external damage detection process of the cable channel, the third external damage risk value can be continuously monitored. When the third external damage risk value is less than the preset third external damage risk value, the preset number of correction nodes can be determined according to the third risk type. The preset number of correction nodes is the number of nodes that need to be re-detected. By adjusting the preset number of correction nodes, different risk scenarios can be flexibly adapted.

[0068] For example, in the monitoring of high-voltage cable channels, when the third external damage risk value is detected to be lower than the preset third external damage risk value, the system will automatically calculate the number of preset correction nodes that need to be re-tested based on the currently identified third risk type. This dynamic adjustment mechanism can adopt differentiated review strategies for different types of risks.

[0069] S160: Obtain second vibration data corresponding to a second detection node within the second cable channel that is closest to the first detection node by a preset corrected number of nodes. Determine a third external damage risk value and a third risk type using a second monitoring model based on the first vibration data and the second vibration data by a preset corrected number of nodes. When the third external damage risk value is greater than or equal to the preset third external damage risk value, issue a third external damage risk warning message corresponding to the first detection node.

[0070] In this implementation, after determining the preset number of correction nodes, the second vibration data corresponding to the second detection nodes with the preset number of correction nodes closest to the first detection node in the second cable channel route can be obtained. The second vibration data contains the vibration characteristic information of these adjacent nodes, providing a data basis for subsequent review and detection.

[0071] After obtaining the second vibration data corresponding to the second detection node with a preset number of correction nodes closest to the first detection node, the third external damage risk value and the third risk type can be re-determined through the second monitoring model based on the first vibration data and the second vibration data with a preset number of correction nodes.

[0072] Exemplarily, the second monitoring model may be a neural network model based on deep learning. The second monitoring model may be trained by vibration data samples, thereby being able to accurately identify different types of external damage risk characteristics.

[0073] When the recalculated third external damage risk value is greater than or equal to the preset third external damage risk value, the third external damage risk prompt information corresponding to the first detection node can be issued. This review mechanism can effectively avoid misjudgment or missed detection that may occur in a single detection.

[0074] The beneficial effect of the above-mentioned implementation method is that when the third external damage risk value is less than the preset third external damage risk value, the preset number of correction nodes is re-determined according to the third risk type, and the second vibration data corresponding to the second detection node of the preset number of correction nodes is further re-detected, thereby improving the accuracy of external damage monitoring and avoiding missed detection.

[0075] The beneficial effect brought about by the above-mentioned implementation method is that by dynamically adjusting the number of preset correction nodes and retesting, the accuracy of external breach risk identification can be improved, especially the judgment of boundary risk values ​​is more reliable. The final judgment will not be made based on a single test result, but the risk status will be verified through multi-node review.

[0076] In some implementations, the above method further includes S170 to S180, which are described in detail below.

[0077] S170. When the second external failure risk value is less than the preset second external failure risk value, and when the third external failure risk value is less than the preset third external failure risk value, determine the preset corrected node number according to the first risk type and the second risk type through the node number correction model.

[0078] In this implementation, when the second external failure risk value is less than the preset second external failure risk value, and the third external failure risk value is less than the preset third external failure risk value, the node quantity correction model can be used to determine the preset correction node quantity according to the first risk type and the second risk type.

[0079] Exemplarily, the node quantity correction model can be a deep learning model based on a neural network. The node quantity correction model can be trained based on the first risk type, the second risk type and the corrected node quantity in the historical data, so that the node quantity correction model can output a reasonable corrected node quantity according to different risk type combinations.

[0080] S180: Obtain second vibration data corresponding to a plurality of second detection nodes within the second cable channel that are closest to the first detection node, a preset corrected number of nodes. Determine a third external damage risk value and a third risk type using a second monitoring model based on the first vibration data and the preset corrected number of second vibration nodes. When the third external damage risk value is greater than or equal to the preset third external damage risk value, issue a third external damage risk warning message corresponding to the first detection node.

[0081] After obtaining the preset number of correction nodes, the second vibration data corresponding to multiple second detection nodes of the preset number of correction nodes closest to the first detection node in the second cable channel route can be obtained to ensure that the selected nodes can reflect the vibration conditions of the area around the first detection node. In this way, vibration data in areas with spatial correlation and stronger correlation with risk types can be obtained, providing more comprehensive data support for subsequent risk assessments.

[0082] In this implementation, the second monitoring model can be further used to determine the third external damage risk value and the third risk type based on the first vibration data and the second vibration data with a preset number of correction nodes. The second monitoring model can analyze the correlation characteristics between the first vibration data and the second vibration data to comprehensively evaluate the current external damage risk situation.

[0083] In this implementation, when the third external damage risk value is greater than or equal to the preset third external damage risk value, a third external damage risk warning message corresponding to the first detection node can be issued. The warning information can include detailed information such as risk level and risk type, so that operation and maintenance personnel can quickly understand the risk situation and take corresponding protective measures.

[0084] The beneficial effect of the above-mentioned implementation method is that when the second external damage risk value is less than the preset second external damage risk value, and when the third external damage risk value is less than the preset third external damage risk value, the preset number of correction nodes is re-determined according to the first risk type and the second risk type, and the accuracy of external damage monitoring is further combined with the current vibration mode to avoid missed detection.

[0085] The beneficial effect of the above implementation method is that the preset number of correction nodes is re-determined according to the first risk type and the second risk type, and the preset number of correction nodes can be reasonably re-determined according to the external failure risk type, thereby improving the accuracy of external failure monitoring and avoiding missed detection.

[0086] In some implementations, the above method further includes S171 to S181, and S171 to S181 are described in detail below.

[0087] S171: When the first external failure risk value is less than a preset first external failure risk value, the second external failure risk value is less than a preset second external failure risk value, and the third external failure risk value is less than a preset third external failure risk value, a preset revised number of nodes is determined using a node quantity correction model based on the first external failure risk value, the first risk type, the second external failure risk value, the second risk type, the third external failure risk value, and the third risk type.

[0088] In this implementation, during the external damage detection process of the cable channel, when the first external damage risk value is less than the preset first external damage risk value, the second external damage risk value is less than the preset second external damage risk value, and the third external damage risk value is less than the preset third external damage risk value, the node quantity correction model can be used to determine the preset correction node quantity based on the first external damage risk value, the first risk type, the second external damage risk value, the second risk type, the third external damage risk value and the third risk type. In this way, the number of nodes that need to be monitored can be further comprehensively and dynamically adjusted through the first risk type, the second risk type and the third risk type to adapt to different risk scenarios.

[0089] Exemplarily, the node quantity correction model can be trained based on historical external failure risk data and corresponding risk types, so that the node quantity correction model can intelligently adjust the number of nodes that need to be monitored according to the current risk situation.

[0090] For example, when the risk type is low-frequency vibration, more nodes may be required to capture the attenuation characteristics of vibration propagation; while when the risk type is high-frequency vibration, fewer nodes may be required to accurately judge the risk.

[0091] S181. Obtain second vibration data corresponding to a plurality of second detection nodes within the second cable channel that are closest to the first detection node, a preset corrected number of nodes. Determine a third external damage risk value and a third risk type using a second monitoring model based on the first vibration data and the preset corrected number of second vibration nodes. When the third external damage risk value is greater than or equal to the preset third external damage risk value, issue a third external damage risk warning message corresponding to the first detection node.

[0092] In this implementation, after determining the preset number of correction nodes, the second vibration data corresponding to multiple second detection nodes of the preset number of correction nodes closest to the first detection node in the second cable channel route can be obtained. These second vibration data can more specifically reflect the vibration conditions of the area around the first detection node, providing more comprehensive and accurate data support for subsequent risk assessment.

[0093] In this implementation, the third external damage risk value and the third risk type can be subsequently determined through the second monitoring model based on the first vibration data and the second vibration data with a preset correction node number. The second monitoring model can analyze the frequency, amplitude and propagation characteristics of the vibration data to comprehensively judge the current external damage risk.

[0094] After obtaining the third external damage risk value, when the third external damage risk value is greater than or equal to the preset third external damage risk value, the third external damage risk warning information corresponding to the first detection node can be issued to promptly notify the operation and maintenance personnel to take corresponding protective measures to avoid damage to the cable channel.

[0095] The beneficial effect of the above-mentioned implementation method is that when the first external damage risk value is less than the preset first external damage risk value, the second external damage risk value is less than the preset second external damage risk value, and the third external damage risk value is less than the preset third external damage risk value, the preset number of correction nodes is re-determined according to the first external damage risk value, the first risk type, the second external damage risk value, the second risk type, the third external damage risk value and the third risk type, and the preset number of correction nodes is determined in combination with the risk value corresponding to the vibration pattern and the vibration data, thereby improving the accuracy of external damage monitoring and avoiding missed detection.

[0096] Figure 3 A flow chart of a second method for monitoring cable channel external damage based on vibration monitoring provided in an embodiment of the present application is shown as follows: Figure 3 As shown, in the above S140, the third external failure risk value and the third risk type are determined through the second monitoring model according to the first vibration data and the second vibration data with a preset number of correction nodes, including S141 to S142. S141 to S142 are described in detail below.

[0097] S141. Acquire first historical vibration data corresponding to a first cable channel route, and acquire second historical vibration data corresponding to a second cable channel route.

[0098] In this implementation method, the vibration data sequences of the first cable channel route and the second cable channel route during the historical monitoring period can be collected respectively. The first historical vibration data records the past changes in vibration characteristics of the first cable channel route, and the second historical vibration data reflects the historical vibration characteristics of the second cable channel route. These historical data can provide a reference benchmark for current monitoring.

[0099] S142. Determine, using a vibration pattern recognition model, a second vibration correction factor corresponding to the second vibration data based on the first historical vibration data and the second historical vibration data. Determine, using a second monitoring model, a third external damage risk value and a third risk type based on the first vibration data, the second vibration data with a preset number of correction nodes, and the second vibration correction factor.

[0100] In this implementation, the characteristic difference of the historical vibration data of the two channel routes can be analyzed through a vibration pattern recognition model to obtain a second vibration correction factor corresponding to the second vibration data.

[0101] Exemplarily, the vibration pattern recognition model can be a deep learning model based on a convolutional neural network. The vibration pattern recognition model is trained by the sample first historical vibration data, the sample second historical vibration data, and the sample second vibration correction factor corresponding to the sample second vibration data, and can identify the vibration characteristic patterns of different cable channel routes.

[0102] The second vibration correction factor output by the vibration pattern recognition model reflects the degree of deviation of the currently monitored second vibration data relative to the first historical vibration data. When calculating the third external damage risk value, the second monitoring model will dynamically adjust the second vibration data in combination with the second vibration correction factor.

[0103] For example, when the depths of the first cable channel route and the second cable channel route are different, the degree of deviation of the second vibration data relative to the first vibration data represents the vibration difference corresponding to the different cable channel depths. Then, a second vibration correction factor can be determined according to the depth corresponding to the second historical vibration data to dynamically adjust the second vibration data to improve the accuracy of external damage monitoring.

[0104] By determining the third external damage risk value and the third risk type, the external damage risk level and specific risk category of the current cable channel can be comprehensively evaluated. The third risk type can distinguish different external damage sources such as mechanical construction, human destruction or natural factors.

[0105] For example, when monitoring urban underground cable channels, the corrected vibration data analysis can accurately identify whether the risk of external damage is caused by nearby road construction or illegal excavation.

[0106] The beneficial effect of the above-mentioned implementation method is that when external damage monitoring is performed using the second vibration data with a preset number of correction nodes, the correction amount when external damage monitoring is performed using the second vibration data with a preset number of correction nodes is determined through the historical vibration data corresponding to the first cable channel route and the second cable channel route respectively, so as to improve the accuracy of external damage monitoring performed in combination with the historical vibration data corresponding to the first cable channel route and the second cable channel route respectively.

[0107] The beneficial effect of the above-mentioned implementation method is that, through the vibration pattern recognition model, the second vibration correction factor corresponding to the second vibration data is determined according to the first historical vibration data and the second historical vibration data, and external damage monitoring is performed through the second vibration correction factor, thereby improving the accuracy of external damage monitoring of the cable channel.

[0108] The beneficial effect brought about by the above implementation method is that by analyzing the historical vibration characteristic differences of the two channel routes through the vibration pattern recognition model, accurate correction factors can be automatically generated, avoiding the subjectivity of manually setting correction parameters and improving the intelligence level of the monitoring system.

[0109] In some implementations, in the above-mentioned S140, the third external failure risk value and the third risk type are determined through the second monitoring model based on the first vibration data and the second vibration data with a preset number of correction nodes, and also include S143 to S144. S143 to S144 are described in detail below.

[0110] S143: Acquire first historical vibration data corresponding to the third risk type for the first cable channel route, and acquire second historical vibration data corresponding to the third risk type for the second cable channel route.

[0111] During the external damage detection process of the cable channel, the first historical vibration data of the first cable channel route under the third risk type can be obtained, and the second historical vibration data of the second cable channel route under the same third risk type can be obtained at the same time. The first historical vibration data and the second historical vibration data record the vibration characteristic patterns of different cable channels under specific risk types, providing a data basis for the subsequent calculation of correction factors.

[0112] S144. Determine, using the vibration pattern recognition model, a second vibration correction factor corresponding to the second vibration data based on the third risk type, the first historical vibration data, and the second historical vibration data. Determine, using the second monitoring model, a third external failure risk value and a third risk type based on the first vibration data, the second vibration data with a preset number of correction nodes, and the second vibration correction factor.

[0113] After obtaining the first historical vibration data and the second historical vibration data, the vibration pattern recognition model can be used to analyze the differences in vibration characteristics of different cable channels under the same risk type based on the third risk type, the first historical vibration data, and the second historical vibration data, and then determine the second vibration correction factor corresponding to the second vibration data.

[0114] Exemplarily, the vibration pattern recognition model can be a deep learning model based on a convolutional neural network, which can identify the differences in vibration patterns of different cable channels under the same risk type and quantify the impact of such differences on current monitoring results.

[0115] After obtaining the second vibration correction factor, the second monitoring model can be used to combine the first vibration data, the second vibration data of the preset correction node number and the second vibration correction factor to comprehensively calculate a more accurate third external damage risk value and third risk type. This process takes into account the historical vibration characteristic differences of different cable channels under the same risk type, so that the monitoring results can better adapt to the characteristics of the specific cable channels.

[0116] The beneficial effect of the above-mentioned implementation method is that when external damage monitoring is performed using the second vibration data with a preset number of correction nodes, the historical vibration data corresponding to the first cable channel route and the second cable channel route under the corresponding third risk type are used to determine the correction amount for external damage monitoring using the second vibration data with a preset number of correction nodes, so as to improve the accuracy of external damage monitoring performed in combination with the historical vibration data corresponding to the first cable channel route and the second cable channel route, thereby avoiding false detection.

[0117] The beneficial effect of the above-mentioned implementation method is that, through the vibration pattern recognition model, the second vibration correction factor corresponding to the second vibration data is determined according to the third risk type, the first historical vibration data and the second historical vibration data, and external damage monitoring is performed according to the second vibration correction factor, thereby improving the accuracy of external damage monitoring.

[0118] Figure 4 A flow chart of a third method for monitoring cable channel external damage based on vibration monitoring provided in an embodiment of the present application is shown as follows: Figure 4 As shown, the above method further includes S210 to S220, and S210 to S220 are described in detail below.

[0119] S210: Obtain a third false alarm rate corresponding to the third external damage risk warning information through on-site feedback information corresponding to the third external damage risk warning information.

[0120] In this implementation method, on-site feedback information corresponding to the third external damage risk warning information can also be obtained to determine the third false alarm rate corresponding to the third external damage risk warning information. The on-site feedback information can include the comparison results between the actual construction situation and the warning information. By analyzing these feedback data, the specific value of the third false alarm rate can be calculated.

[0121] S220. When the third false alarm rate is greater than or equal to the preset third false alarm rate, obtain the first node false alarm rate corresponding to the first detection node of the first cable channel route, and obtain the second node false alarm rate corresponding to the first detection node of the second cable channel route. When the first node false alarm rate is greater than or equal to the preset first node false alarm rate, issue a prompt message to add a detection node within the monitoring area corresponding to the first detection node for the first cable channel route. When the second node false alarm rate is greater than or equal to the preset second node false alarm rate, issue a prompt message to add a detection node within the monitoring area corresponding to the first detection node for the second cable channel route.

[0122] In this implementation, when the third false alarm rate is greater than or equal to the preset third false alarm rate, it means that the accuracy of external damage monitoring based on the vibration data of the first cable channel route and the second cable channel route is low. At this time, the first node false alarm rate corresponding to the first cable channel route at the first detection node can be obtained, and the second node false alarm rate corresponding to the second cable channel route at the first detection node can be obtained at the same time. These node false alarm rates reflect the accuracy performance of the early warning system at the detection position of the specific cable channel route.

[0123] For the first cable channel route, when the false alarm rate of the first node is greater than or equal to the preset first node false alarm rate, a prompt message can be issued to add a detection node to the first cable channel route within the monitoring area corresponding to the first detection node. Adding detection nodes can increase the monitoring coverage density of the area, thereby improving the monitoring effect.

[0124] For the second cable channel route, when the second node false alarm rate is greater than or equal to the preset second node false alarm rate, a prompt message can be issued to add a detection node to the second cable channel route within the monitoring area corresponding to the first detection node, thereby optimizing the monitoring network configuration by increasing the number of detection nodes.

[0125] For example, at a power construction site, when the system detects a high false alarm rate for the third external damage risk warning information, it can analyze the false alarm situations of the first cable channel route and the second cable channel route at key detection nodes respectively, and further propose suggestions for adding monitoring equipment for the node areas where the false alarm rate exceeds the standard.

[0126] The beneficial effect of the above-mentioned implementation method is that when the third false alarm rate corresponding to the third external damage risk warning information is too large, the first node false alarm rate corresponding to the first cable channel route at the first detection node is obtained, and the second node false alarm rate corresponding to the second cable channel route at the first detection node is obtained, and the false alarm rates of the first cable channel route and the second cable channel route at the first detection node are further analyzed, and the false alarm rates at specific detection nodes are progressively analyzed, which can accurately locate the weak links in the monitoring network, realize precise monitoring network optimization configuration, determine the cable channel lines that need to be optimized and monitored, and optimize the cable channel lines to improve the accuracy of cable channel line monitoring.

[0127] The beneficial effect of the above implementation is that, for a cable channel line that needs optimized monitoring, a detection node is added at the first detection node to optimize the cable channel line, thereby improving the monitoring accuracy of the cable channel line.

[0128] The beneficial effect brought about by the above implementation method is that by increasing the number of monitoring devices at a specific node, the monitoring accuracy of the area can be effectively improved, while avoiding the waste of resources caused by blindly increasing the number of monitoring devices.

[0129] In some implementations, the above method also includes: when the false alarm rate of the first node is greater than or equal to the preset first node false alarm rate, and the false alarm rate of the second node is greater than or equal to the preset second node false alarm rate, issuing a prompt message to re-layout all detection nodes in the monitoring area corresponding to the first detection node.

[0130] During the cable channel external damage detection process in the above-mentioned S210 to S220, the first node false alarm rate of the first detection node and the second node false alarm rate of the second node can be continuously obtained. The first node false alarm rate reflects the frequency of false alarms generated by the detection nodes in the monitoring area, and the second node false alarm rate represents the false alarm situation of the detection nodes in the adjacent monitoring areas. These false alarm rate data can be obtained through the alarm log statistics recorded by the detection system.

[0131] When the first node false alarm rate is greater than or equal to the preset first node false alarm rate, and the second node false alarm rate is greater than or equal to the preset second node false alarm rate, a prompt message can be issued to re-layout all detection nodes in the monitoring area corresponding to the first detection node.

[0132] For example, in the monitoring of the intersection of high-voltage cable channels, when the nodes in the two monitoring areas near the intersection have a high false alarm rate at the same time, it means that the layout of the detection nodes in the area may have blind spots or mutual interference problems, which can prompt the re-layout planning of all detection nodes in the area.

[0133] The beneficial effect of the above-mentioned implementation method is that when the false alarm rate of the first node is greater than or equal to the preset first node false alarm rate, and the false alarm rate of the second node is greater than or equal to the preset second node false alarm rate, it indicates that the detection node at the first detection node may be unreasonably arranged, and the detection nodes of the first cable channel route and the second cable channel route at the first detection node can be uniformly rearranged and designed to improve the accuracy of cable channel external damage detection at the intersection of the first cable channel route and the second cable channel route.

[0134] The beneficial effect brought about by the above implementation method is that the use of regional node re-layout prompts rather than single node adjustments can more systematically solve the detection problems in complex areas such as cable channel intersections and improve the accuracy of external damage detection.

[0135] An embodiment of the present application further provides a cable channel anti-external damage monitoring system based on vibration monitoring, comprising a unit for executing any of the methods described above.

[0136] Figure 5 A schematic diagram of the logical structure of a cable channel anti-breakage monitoring system based on vibration monitoring provided in an embodiment of the present application is shown as follows: Figure 5 As shown, the system 1 of this embodiment includes a processing unit 11, a storage unit 12, and a transceiver unit 13. The processing unit 11 is used to process data, the storage unit 12 is used to store data, and the transceiver unit 13 is used to send and receive data. The processing unit 11, the storage unit 12, and the transceiver unit 13 cooperate with each other to implement the above method. The beneficial effects of the embodiment of the present application have been described in the above method and will not be repeated here.

[0137] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of this application. Their specific functions and technical effects can be found in the method embodiment section and will not be repeated here.

[0138] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0139] If the integrated unit is implemented as a software functional unit and sold or used as a standalone product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application can implement all or part of the process steps in the above-mentioned method embodiments by using a computer program to instruct the relevant hardware. The computer program can be stored in a computer-readable storage medium. When executed by a processor, the computer program can implement the steps of each of the above-mentioned method embodiments. The computer program includes computer program code, which can be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium can include at least: any entity or device capable of carrying computer program code to a camera / terminal device, recording medium, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signals, telecommunication signals, and software distribution media. Examples include USB flash drives, removable hard drives, magnetic disks, or optical disks. In some jurisdictions, based on legislation and patent practice, computer-readable media cannot be electric carrier signals or telecommunication signals.

[0140] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0141] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0142] In the embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the modules or units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0143] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0144] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present application, and should all be included in the scope of protection of the present application.

Claims

1. A cable channel anti-breakage monitoring method based on vibration monitoring, characterized in that: The method comprises: Acquire vibration data corresponding to multiple detection nodes of multiple cable channel routes respectively; wherein one cable channel route includes multiple detection nodes, and the vibration data is acquired by detecting an external damage monitoring module provided at the detection node; When the first vibration data corresponding to the first detection node meets the first detection condition, multiple adjacent node vibration data corresponding to multiple adjacent detection nodes in the first cable channel route to which the first detection node belongs are obtained; when at least one adjacent node vibration data does not meet the first detection condition, the first external damage risk value and the first risk type are determined according to the first vibration data through the first monitoring model; when each adjacent node vibration data meets the first detection condition, the second external damage risk value and the second risk type are determined according to the first vibration data and the vibration data of multiple adjacent nodes through the second monitoring model; when the first external damage risk value is greater than or equal to the preset first external damage risk value, the first external damage risk warning information corresponding to the first detection node is issued; when the second external damage risk value is greater than or equal to the preset second external damage risk value, the second external damage risk warning information corresponding to the first detection node is issued; wherein, the first detection condition includes that the vibration amplitude of the node detection is greater than or equal to the preset vibration amplitude; The method further comprises: When vibration data of at least one adjacent node does not meet the first detection condition, determining a second cable channel route that intersects the first cable channel route to which the first detection node belongs, and obtaining second vibration data corresponding to a preset number of second detection nodes within the second cable channel route that are closest to the first detection node; Through the second monitoring model, the third external damage risk value and the third risk type are determined according to the first vibration data and the second vibration data of a preset number of nodes; when the third external damage risk value is greater than or equal to the preset third external damage risk value, the third external damage risk warning information corresponding to the first detection node is issued; wherein, the third external damage risk warning information includes the second cable channel route information.

2. The method according to claim 1, wherein The method further comprises: When the third external failure risk value is less than the preset third external failure risk value, determining a preset number of correction nodes according to the third risk type; Obtain second vibration data corresponding to a second detection node with a preset correction number of nodes closest to the first detection node within the second cable channel route; determine a third external damage risk value and a third risk type based on the first vibration data and the second vibration data with a preset correction number of nodes through a second monitoring model; when the third external damage risk value is greater than or equal to the preset third external damage risk value, issue a third external damage risk warning message corresponding to the first detection node.

3. The method according to claim 2, wherein The method further comprises: When the second external failure risk value is less than the preset second external failure risk value, and when the third external failure risk value is less than the preset third external failure risk value, the preset number of corrected nodes is determined according to the first risk type and the second risk type through the node number correction model; Obtain second vibration data corresponding to multiple second detection nodes of a preset correction number of nodes that are closest to the first detection node within the second cable channel route; determine the third external damage risk value and the third risk type through the second monitoring model based on the first vibration data and the second vibration data of a preset correction number of nodes; when the third external damage risk value is greater than or equal to the preset third external damage risk value, issue a third external damage risk warning message corresponding to the first detection node.

4. The method according to claim 3, wherein The method further comprises: When the first external failure risk value is less than the preset first external failure risk value, the second external failure risk value is less than the preset second external failure risk value, and the third external failure risk value is less than the preset third external failure risk value; through the node quantity correction model, according to the first external failure risk value, the first risk type, the second external failure risk value, the second risk type, the third external failure risk value and the third risk type, the preset correction node number is determined; Obtain second vibration data corresponding to multiple second detection nodes of a preset correction number of nodes that are closest to the first detection node within the second cable channel route; determine the third external damage risk value and the third risk type through the second monitoring model based on the first vibration data and the second vibration data of a preset correction number of nodes; when the third external damage risk value is greater than or equal to the preset third external damage risk value, issue a third external damage risk warning message corresponding to the first detection node.

5. The method according to claim 4, wherein Determining a third external damage risk value and a third risk type based on the first vibration data and the second vibration data with a preset number of corrected nodes through the second monitoring model includes: Acquire first historical vibration data corresponding to a first cable channel route, and acquire second historical vibration data corresponding to a second cable channel route; Through the vibration pattern recognition model, the second vibration correction factor corresponding to the second vibration data is determined based on the first historical vibration data and the second historical vibration data; through the second monitoring model, the third external damage risk value and the third risk type are determined based on the first vibration data, the second vibration data with a preset correction node number and the second vibration correction factor.

6. The method according to claim 5, wherein Determining a third external failure risk value and a third risk type based on the first vibration data and the second vibration data with a preset number of corrected nodes by the second monitoring model further includes: Acquire first historical vibration data corresponding to a third risk type for a first cable channel route, and acquire second historical vibration data corresponding to the third risk type for a second cable channel route; Through the vibration pattern recognition model, the second vibration correction factor corresponding to the second vibration data is determined according to the third risk type, the first historical vibration data and the second historical vibration data; through the second monitoring model, the third external damage risk value and the third risk type are determined according to the first vibration data, the second vibration data with a preset correction node number and the second vibration correction factor.

7. The method according to claim 6, wherein The method further comprises: Obtaining a third false alarm rate corresponding to the third external damage risk warning information through on-site feedback information corresponding to the third external damage risk warning information; When the third false alarm rate is greater than or equal to the preset third false alarm rate, the first node false alarm rate corresponding to the first cable channel route at the first detection node is obtained, and the second node false alarm rate corresponding to the second cable channel route at the first detection node is obtained; when the first node false alarm rate is greater than or equal to the preset first node false alarm rate, a prompt message is issued to add a detection node to the first cable channel route in the monitoring area corresponding to the first detection node; when the second node false alarm rate is greater than or equal to the preset second node false alarm rate, a prompt message is issued to add a detection node to the second cable channel route in the monitoring area corresponding to the first detection node.

8. The method according to claim 7, wherein The method further comprises: When the first node false alarm rate is greater than or equal to the preset first node false alarm rate, and the second node false alarm rate is greater than or equal to the preset second node false alarm rate, a prompt message is issued to re-layout all detection nodes in the monitoring area corresponding to the first detection node.

9. A cable channel anti-external damage monitoring system based on vibration monitoring, characterized in that: Comprising means for performing the method according to any one of claims 1 to 8.

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