Cable internal corrosion risk early warning method and system

Abstract

The invention relates to the technical field of bridge cable detection, in particular to a cable internal corrosion risk early warning method and system. The method comprises the following steps: acquiring a cable static parameter set, an external environment parameter set and an internal component state parameter set; constructing a steel wire fretting friction energy dissipation model according to the internal component state parameter set, and determining the wear depth increment of the steel wire contact surface; based on the external environment parameter set, an environment-wear coupling corrosion model is constructed according to the steel wire contact surface wear depth increment, and corrosion development state information is determined; and determining and outputting a cable corrosion risk assessment report according to the corrosion development state information. According to the method, the interaction mechanism of mechanical wear and environmental corrosion is combined, the formation and evolution trend of the corrosion hot spot of the bridge cable is accurately predicted, the high-risk corrosion position of the cable is recognized and early warned in time, potential safety hazards in the cable are checked in time, and the situation that local corrosion is expanded into structural damage is avoided.

Description

Technical Field

[0001] This application relates to the technical field of bridge cable detection, and in particular, to a method and system for early warning of internal corrosion risk of cables. Background Art

[0002] With the rapid development of road traffic, cable-stayed bridges and suspension bridges with tensile cables or chains as the main load-bearing structures are widely used in modern bridge construction due to their advantages such as large span and clear force transmission. As the main load-bearing components of bridges, with the increase of their service time, the corrosion state inside the cables directly affects the safety of the bridges.

[0003] However, the existing internal corrosion detection process of bridge cables still mainly relies on manual regular inspection and evaluation of cable components, with low detection efficiency and high personnel safety risks. It is difficult to timely detect potential corrosion damage inside the cables, and the single-dimensional static detection of the cable components themselves is difficult to reflect the dynamic changes of the internal corrosion process during the operation of the cable components, resulting in a significant lag in the assessment of the internal corrosion risk of the cables and making it difficult to timely identify potential safety hazards inside the cables. Summary of the Invention

[0004] This application provides a method and system for early warning of internal corrosion risk of cables to solve the above technical problems.

[0005] In a first aspect, this application provides a method for early warning of internal corrosion risk of cables, the method including: Obtain a set of cable static parameters, a set of external environment parameters, and a set of internal component state parameters; according to the set of internal component state parameters, construct a wire fretting friction energy dissipation model to determine the wear depth increment of the wire contact surface; based on the set of external environment parameters, according to the wear depth increment of the wire contact surface, construct an environment-wear coupled corrosion model to determine the corrosion development state information; according to the corrosion development state information, determine and output a cable corrosion risk assessment report.

[0006] Through this solution, the set of cable static parameters, the set of external environment parameters, and the set of internal component state parameters are analyzed collaboratively, combined with the interaction mechanism between mechanical wear and environmental corrosion, to accurately predict the formation and evolution trend of corrosion hotspots of bridge cables, provide the corresponding cable corrosion risk assessment report to cable maintenance personnel, realize the timely identification and early warning of high-risk positions of cable corrosion, timely identify potential safety hazards inside the cables, avoid local corrosion from expanding into structural damage, and significantly improve the service life of the cables.

[0007] Optionally, the set of cable static parameters includes the steel wire friction coefficient, the steel wire fatigue coefficient, the hardness of the steel wire material, the cable pre-tightening force, the reference aging rate of the material, the shell penetration coefficient, the thickness of the steel wire protective layer, and the yield strength of the steel wire; the set of external environment parameters includes the environmental temperature gradient distribution information, the environmental humidity distribution information, and the air salt spray concentration; the set of internal component state parameters includes the fretting slip information between steel wires, the dynamic load amplitude spectrum between steel wires, the alternating load action frequency, and the alternating stress amplitude.

[0008] Through this solution, multi-dimensional acquisition of the static attributes, environmental states, and dynamic operation data of the cable is carried out to construct a full-element data system for corrosion risk assessment, eliminate the data blind spots of traditional methods, establish a complete and scientific data benchmark for subsequent environment-wear coupling analysis, and improve the scientificity and comprehensiveness of the cable corrosion state assessment process.

[0009] Optionally, based on the set of internal component state parameters, a fretting friction energy dissipation model of the steel wire is constructed to determine the increment of the wear depth of the steel wire contact surface, including: determining the dynamic load amplitude of the steel wire corresponding to different time points at the current detection position within a preset unit detection time period according to the dynamic load amplitude spectrum between the steel wires; based on the alternating load action frequency, determining the contact surface pressure between the steel wires corresponding to different time points at the current detection position within the preset unit detection time period according to the dynamic load amplitude of the steel wire and the cable pre-tightening force; determining the fretting slip amount between the steel wires corresponding to different time points at the current detection position within the preset unit detection time period according to the fretting slip information between the steel wires; determining the number of load actions within the preset unit detection time period according to the preset unit detection time period and the alternating load action frequency; determining the energy accumulation correction factor according to the steel wire fatigue coefficient and the number of load actions; based on the energy accumulation correction factor, the contact surface pressure between the steel wires, and the fretting slip amount between the steel wires, constructing the fretting friction energy dissipation model of the steel wire according to the hardness of the steel wire material, and determining the increment of the wear depth of the steel wire contact surface at the current detection position within the preset unit detection time period.

[0010] Through this solution, the information reflecting the dynamic state of the cable is segmented with the detection position and the preset unit detection time period as the reference constraints, and the dynamic load amplitude of the steel wire, the fretting slip amount between the steel wires, and the number of load actions corresponding to different time points at different detection positions within the preset unit detection time period are obtained. On this basis, the contact surface pressure between the steel wires and the energy accumulation correction factor are quantitatively analyzed, and then a fretting friction energy dissipation model of the steel wire that can reflect the fretting wear characteristics of the cable steel wire under the synergistic action of friction and fatigue dimensions is constructed, and the increment of the wear depth of the steel wire contact surface corresponding to different detection positions within the preset unit detection time period is obtained to accurately and comprehensively reflect the wear of the cable under the influence of alternating loads.

[0011] Optionally, based on the energy accumulation correction factor, the contact surface pressure between the steel wires, and the fretting slip amount between the steel wires, a fretting friction energy dissipation model of the steel wires is constructed according to the hardness of the steel wire material, specifically as the following formula: ; Wherein, is the increment of the wear depth of the contact surface of the steel wire, is the energy accumulation correction factor, is the steel wire contact energy conversion coefficient, is the hardness of the steel wire material, is the fretting slip amount between the steel wires corresponding to the current detection position at the current time point under, is the friction coefficient of the steel wire, is the fatigue coefficient of the steel wire, is the number of load applications, is the contact surface pressure between the steel wires at the current detection position at the current time point under, is the preset unit detection time period.

[0012] Through this solution, by means of mathematical analysis, based on the energy accumulation correction factor, the contact surface pressure between the steel wires, and the fretting slip amount between the steel wires, according to the hardness of the steel wire material, the wear development performance of the steel wire under the combined action of friction and fatigue is described, and then the increment of the wear depth of the contact surface of the steel wire is quantitatively obtained to accurately evaluate the wear rate of the steel wire at the current detection position under the influence of the alternating load, providing scientific data support for the steel wire corrosion risk assessment.

[0013] Optionally, based on the alternating load application frequency, according to the dynamic load amplitude of the steel wire and the cable pre-tightening force, the contact surface pressure between the steel wires corresponding to different time points at the current detection position within the preset unit detection time period is determined, specifically as the following formula: ; Wherein, is the contact surface pressure between the steel wires at the current detection position at the current time point under, is the cable pre-tightening force, is the current time point under the dynamic load amplitude of the steel wire, is the alternating load application frequency, is the preset unit detection time period.

[0014] Through this solution, by means of mathematical analysis, based on the action frequency of the alternating load, according to the dynamic load amplitude of the steel wire and the cable pre-tightening force, the periodic fluctuating pressure exerted by the alternating load on the steel wire is captured. Combining the cable pre-tightening force exerted by the cable itself on the steel wire, the contact surface pressure between the steel wires is quantitatively obtained, improving the accuracy and scientificity of the contact surface pressure between the steel wires, so that the increment of the wear depth of the steel wire contact surface is more accurate.

[0015] Optionally, based on the external environment parameter set, according to the increment of the wear depth of the steel wire contact surface, an environment-wear coupling corrosion model is constructed to determine the corrosion development state information, including: determining the internal relative humidity and internal temperature of the cable according to the environmental temperature gradient distribution information and environmental humidity distribution information; determining the internal salt fog settlement concentration of the cable according to the air salt fog concentration; based on the material reference aging rate, the steel wire protective layer thickness, the alternating stress amplitude and the steel wire yield strength, according to the internal relative humidity, the internal temperature, the internal salt fog settlement concentration, the increment of the wear depth of the steel wire contact surface and the alternating load action frequency, an environment-wear coupling analysis is carried out on the corrosion development state of the cable, the environment-wear coupling corrosion model is constructed, and the corrosion development rate corresponding to different detection positions is determined; according to the corrosion development rate corresponding to different detection positions, the corrosion development state information is constructed.

[0016] Through this solution, an environment-wear coupling model is constructed, simultaneously capturing the synergistic effect of mechanical damage and chemical erosion, significantly improving the prediction accuracy of the corrosion rate, avoiding the underestimation risk of a single-factor model, combining the alternating load action frequency and stress amplitude, dynamically reflecting the non-steady state characteristics of corrosion development under actual working conditions, supporting the adaptive analysis of sudden load changes, and providing accurate data support for locating high-corrosion-risk areas by quantitatively analyzing the corrosion development rate of different detection positions.

[0017] Optionally, based on the material reference aging rate, the steel wire protective layer thickness, the alternating stress amplitude and the steel wire yield strength, according to the internal relative humidity, the internal temperature, the internal salt fog settlement concentration, the increment of the wear depth of the steel wire contact surface and the alternating load action frequency, an environment-wear coupling analysis is carried out on the corrosion development state of the cable, the environment-wear coupling corrosion model is constructed, and the corrosion development rate corresponding to different detection positions is determined. Specifically, it is the following formula: ; Wherein, is the corrosion development rate, is the material reference aging rate, is the shell permeability coefficient, is the internal salt fog settlement concentration, is the internal relative humidity, is the preset humidity adjustment index, is the internal temperature, is the increment of the wear depth of the wire contact surface, is the thickness of the wire protective layer, is the preset dynamic load coupling factor, is the amplitude of the alternating stress, is the frequency of the alternating load action, is the preset load adjustment index, is the yield strength of the wire.

[0018] Through this solution, by using mathematical analysis means, based on the material benchmark aging rate, wire protective layer thickness, alternating stress amplitude and wire yield strength, according to the internal relative humidity, internal temperature, internal salt spray deposition concentration, wire contact surface wear depth increment and alternating load action frequency, the effects of the environment, wear and dynamic stress on the cable corrosion rate are respectively described. Under the triple influence dimension, based on the material benchmark aging rate, the accurate quantification of the corrosion development rate is realized, and the accuracy and scientificity of the corrosion development rate are improved.

[0019] Optionally, according to the corrosion development state information, determining and outputting a cable corrosion risk assessment report, including: comparing the corrosion development rates corresponding to different detection positions with the corresponding preset corrosion rate thresholds respectively to determine the comparison results; determining a safe position set, a subsequent key attention position set and a high-risk position set according to the comparison results; performing high-light warning markings on the detection positions corresponding to the safe position set, the subsequent key attention position set and the high-risk position set respectively according to the three-dimensional color differentiation marking strategy to determine the detection marking warning information; constructing and outputting the cable corrosion risk assessment report according to the detection marking warning information.

[0020] Through this solution, by using dynamic thresholds and multi-level classification, the risk areas in different development stages are accurately distinguished, avoiding the waste of subsequent maintenance resources or risk omission caused by the "one-size-fits-all" assessment. By providing an intuitive corrosion risk view through the three-dimensional color differentiation marking strategy, the complexity of manual analysis is significantly reduced, and the efficiency and scientificity of subsequent maintenance plan formulation are improved.

[0021] Optionally, the method further includes: extracting the parameter change information set in the evaluation process of the corrosion development rate corresponding to each high-risk position according to the high-risk position set; analyzing the parameter change information set to determine the corrosion risk focus root cause corresponding to each high-risk position; based on a preset large language model, determining the corresponding maintenance optimization suggestions according to the corrosion risk focus root cause, and adding the maintenance optimization suggestions to the cable corrosion risk assessment report.

[0022] Through this solution, the root causes of the abnormal corrosion rate at high-risk positions are located, the key root causes of corrosion risk are determined, and according to the large language model, corresponding maintenance optimization suggestions are given for the key root causes of corrosion risk. The maintenance optimization suggestions are added to the cable corrosion risk assessment report to provide targeted suggestions with reference significance for maintenance personnel and improve the subsequent maintenance efficiency and effect.

[0023] In a second aspect, the present application provides a cable internal corrosion risk warning system, the system comprising: A parameter collection module for obtaining a set of cable static parameters, a set of external environment parameters, and a set of internal component state parameters; a wear analysis module for constructing a wire fretting friction energy dissipation model based on the set of internal component state parameters to determine the wear depth increment of the wire contact surface; a coupling analysis module for constructing an environment-wear coupling corrosion model based on the set of external environment parameters and the wear depth increment of the wire contact surface to determine the corrosion development state information; and an output module for determining and outputting a cable corrosion risk assessment report based on the corrosion development state information.

[0024] Optionally, in the parameter collection module, the set of cable static parameters includes wire friction coefficient, wire fatigue coefficient, wire material hardness, cable pre-tightening force, material reference aging rate, shell permeability, wire protective layer thickness, and wire yield strength; the set of external environment parameters includes environmental temperature gradient distribution information, environmental humidity distribution information, and air salt spray concentration; and the set of internal component state parameters includes wire fretting slip information, wire dynamic load amplitude spectrum, alternating load action frequency, and alternating stress amplitude.

[0025] Optionally, the wear analysis module is specifically configured to: determine the wire dynamic load amplitude corresponding to different time points at the current detection position within a preset unit detection time period according to the wire dynamic load amplitude spectrum; determine the contact pressure between wires corresponding to different time points at the current detection position within the preset unit detection time period based on the alternating load action frequency, the wire dynamic load amplitude, and the cable pre-tightening force; determine the wire fretting slip amount corresponding to different time points at the current detection position within the preset unit detection time period according to the wire fretting slip information; determine the number of load actions within the preset unit detection time period according to the preset unit detection time period and the alternating load action frequency; determine an energy accumulation correction factor according to the wire fatigue coefficient and the number of load actions; and construct the wire fretting friction energy dissipation model based on the energy accumulation correction factor, the contact pressure between wires, and the wire fretting slip amount according to the wire material hardness to determine the wear depth increment of the wire contact surface at the current detection position within the preset unit detection time period.

[0026] Optionally, when constructing the fretting friction energy dissipation model of the steel wire based on the energy accumulation correction factor, the pressure on the contact surface between the steel wires, and the fretting slip amount between the steel wires according to the hardness of the steel wire material, the specific formula is as follows: ; Wherein, is the increment of the wear depth of the steel wire contact surface, is the energy accumulation correction factor, is the steel wire contact energy conversion coefficient, is the hardness of the steel wire material, is the fretting slip amount between the steel wires corresponding to the current detection position at the current time point , is the friction coefficient of the steel wire, is the fatigue coefficient of the steel wire, is the number of load applications, is the pressure on the contact surface between the steel wires at the current detection position at the current time point , is the preset unit detection time period.

[0027] Optionally, when determining the pressure on the contact surface between the steel wires corresponding to different time points at the current detection position within the preset unit detection time period based on the alternating load application frequency, the steel wire dynamic load amplitude, and the cable pre-tightening force, the specific formula is as follows: ; Wherein, is the pressure on the contact surface between the steel wires at the current detection position at the current time point , is the cable pre-tightening force, is the current time point under the steel wire dynamic load amplitude, is the alternating load application frequency, is the preset unit detection time period.

[0028] Optionally, the coupling analysis module is specifically configured to: determine the internal relative humidity and internal temperature of the cable according to the environmental temperature gradient distribution information and environmental humidity distribution information; determine the internal salt spray deposition concentration of the cable according to the air salt spray concentration; based on the material reference aging rate, the steel wire protective layer thickness, the alternating stress amplitude, and the steel wire yield strength, perform an environment-wear coupling analysis on the corrosion development state of the cable according to the internal relative humidity, the internal temperature, the internal salt spray deposition concentration, the wear depth increment of the steel wire contact surface, and the alternating load application frequency, construct the environment-wear coupling corrosion model, and determine the corrosion development rate corresponding to different detection positions; construct the corrosion development state information according to the corrosion development rate corresponding to different detection positions.

[0029] Optionally, when the coupling analysis module performs an environment-wear coupling analysis on the corrosion development state of the cable based on the material reference aging rate, the steel wire protective layer thickness, the alternating stress amplitude, and the steel wire yield strength, and constructs the environment-wear coupling corrosion model according to the internal relative humidity, the internal temperature, the internal salt spray deposition concentration, the wear depth increment of the steel wire contact surface, and the alternating load application frequency, and determines the corrosion development rate corresponding to different detection positions, it is specifically the following formula: ; Where is the corrosion development rate, is the material reference aging rate, is the shell permeability coefficient, is the internal salt spray deposition concentration, is the internal relative humidity, is the preset humidity adjustment index, is the internal temperature, is the wear depth increment of the steel wire contact surface, is the steel wire protective layer thickness, is the preset dynamic load coupling factor, is the alternating stress amplitude, is the alternating load application frequency, is the preset load adjustment index, is the steel wire yield strength.

[0030] Optionally, the output module is specifically configured to: compare the corrosion development rates corresponding to different detection positions with the corresponding preset corrosion rate thresholds respectively to determine the comparison results; determine a safe position set, a subsequent key attention position set, and a high-risk position set respectively according to the comparison results; perform high-light warning markings on the corresponding detection positions in the safe position set, the subsequent key attention position set, and the high-risk position set respectively according to the three-dimensional color differentiation marking strategy to determine the detection marking warning information; construct and output the cable corrosion risk assessment report according to the detection marking warning information.

[0031] Optionally, the system further includes a root cause analysis module, which is specifically configured to: extract the parameter change information set during the evaluation process of the corrosion development rate corresponding to each high-risk position according to the high-risk position set; analyze the parameter change information set to determine the corrosion risk focus root cause corresponding to each high-risk position; based on a preset large language model, determine the corresponding maintenance optimization suggestions according to the corrosion risk focus root cause, and add the maintenance optimization suggestions to the cable corrosion risk assessment report. Description of the Drawings

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0033] Figure 1 It is a schematic diagram of an application scenario provided by an embodiment of the present application; Figure 2 It is a flowchart of a method for warning of internal cable corrosion risk provided by an embodiment of the present application; Figure 3 It is a schematic structural diagram of a system for warning of internal cable corrosion risk provided by an embodiment of the present application. Detailed Embodiments

[0034] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts fall within the scope of protection of the present application.

[0035] In addition, the term "and / or" in this text is merely a description of the association relationship between associated objects, indicating that there can be three relationships. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this text generally represents an "or" relationship between the associated objects before and after, unless otherwise specified.

[0036] The embodiments of the present application will be further described in detail below in conjunction with the accompanying drawings of the specification.

[0037] In the existing internal corrosion detection process of bridge cables, the detection and evaluation of cable components are still mainly carried out manually at regular intervals. The detection efficiency is low, the safety risk of personnel is high, it is difficult to timely detect potential corrosion damage inside the cables, and the single-dimensional static detection of the cable components themselves is difficult to reflect the dynamic changes of the internal corrosion process during the operation of the cable components, resulting in a significant lag in the assessment of the internal corrosion risk of the cables and making it difficult to timely detect potential safety hazards inside the cables.

[0038] Based on this, the present application provides a method and system for early warning of internal corrosion risk of cables. By jointly analyzing the static parameter set of cables, the external environment parameter set, and the internal component state parameter set, and combining the interaction mechanism between mechanical wear and environmental corrosion, the formation and evolution trend of corrosion hotspots of bridge cables can be accurately predicted, and the corresponding cable corrosion risk assessment report can be provided to cable maintenance personnel, realizing the timely identification and early warning of high-risk positions of cable corrosion, timely detecting potential safety hazards inside the cables, avoiding local corrosion from expanding into structural damage, and significantly improving the service life of the cables.

[0039] Figure 1 This is a schematic diagram of an application scenario provided by the present application. During the corrosion risk detection of bridge cables, the method provided by the present application is applied to accurately predict the formation and evolution trend of corrosion hotspots of bridge cables, timely detect potential safety hazards inside the cables, and avoid local corrosion from expanding into structural damage.

[0040] Specifically, the method of the present application is applied to any server, which communicates with a magnetic array sensor and a meteorological sensor. Through this server, the static parameter set of cables provided by the cable design party, the internal component state parameter set provided by the magnetic array sensor, and the external environment parameter set provided by the meteorological sensor are obtained. By jointly analyzing the static parameter set of cables, the external environment parameter set, and the internal component state parameter set, and combining the interaction mechanism between mechanical wear and environmental corrosion, the formation and evolution trend of corrosion hotspots of bridge cables can be accurately predicted, and the corresponding cable corrosion risk assessment report can be provided to cable maintenance personnel, realizing the timely identification and early warning of high-risk positions of cable corrosion, timely detecting potential safety hazards inside the cables, avoiding local corrosion from expanding into structural damage, and significantly improving the service life of the cables.

[0041] For specific implementation methods, reference can be made to the following embodiments.

[0042] Figure 2 The figure is a flowchart of a method for warning of internal corrosion risk of a cable provided in an embodiment of the present application. The method of this embodiment can be applied to the server in the above scenario. As Figure 2 shown, the method includes: S201. Obtain a set of cable static parameters, a set of external environment parameters, and a set of internal component state parameters.

[0043] The set of cable static parameters can be a set of parameters used to characterize the inherent properties of the cable, such as the wire friction coefficient, wire fatigue coefficient, etc., which can be provided by the cable design party.

[0044] The set of external environment parameters can be a set of parameters used to characterize the environmental state of the cable, such as environmental temperature, environmental humidity, air salt spray concentration (such as the salt spray deposition amount in coastal areas), etc., which can be obtained by a cable-climbing robot equipped with a meteorological sensor.

[0045] The set of internal component state parameters can be a set of parameters used to characterize the dynamic operation inside the cable, such as the micro-motion slip information between wires, the dynamic load amplitude spectrum between wires, etc., and the set of internal component state parameters can be obtained by a cable-climbing robot equipped with a magnetic array sensor.

[0046] Specifically, the essence of the internal corrosion risk of the bridge cable is the coupling effect of wire fretting wear and external environmental corrosion factors. If only relying on single-dimensional parameters (such as static parameters or environmental parameters), it is impossible to accurately evaluate the corrosion risk under the dynamic operation conditions of the cable. By comprehensively obtaining the set of cable static parameters (characterizing the wear and corrosion resistance of the material), the set of external environment parameters (characterizing the corrosion environment intensity), and the set of internal component state parameters (characterizing the dynamic wear state in actual operation), a complete data basis can be provided for subsequent multi-dimensional coupling modeling.

[0047] S202. According to the set of internal component state parameters, construct a wire fretting friction energy dissipation model, and determine the increment of the wear depth of the wire contact surface.

[0048] The wire fretting friction energy dissipation model can be a mathematical model that quantifies the relationship between the energy loss caused by wire fretting friction and wear.

[0049] The increment of the wear depth of the wire contact surface can be the change amount of the wear thickness of the wire surface caused by fretting friction per unit time.

[0050] Specifically, since the bridge cable is the main load-bearing component of the bridge and is dynamically affected by factors such as traffic flow and meteorological conditions, the load during the actual operation of the bridge cable exhibits dynamic changes. The dynamic change of the load causes continuous fretting friction (usually micron-level changes) between the steel wires inside the cable. Long-term fretting friction will cause the protective layer (such as the galvanized layer) between the steel wires to be worn, exposing the fresh metal surface and accelerating the corrosion process. Through mathematical analysis methods, based on the internal component state parameter set reflecting the dynamic state inside the cable, a fretting friction energy dissipation model of the steel wire is established to quantify the increment of the wear depth of the steel wire contact surface, providing scientific data that can accurately reflect the dynamic wear state of the steel wire for the subsequent cable corrosion risk assessment process, making the corrosion risk assessment process highly consistent with the dynamic state of the cable.

[0051] S203. Based on the external environmental parameter set, according to the increment of the wear depth of the steel wire contact surface, construct an environment-wear coupled corrosion model to determine the corrosion development state information.

[0052] The environment-wear coupled corrosion model can be a mathematical model that quantifies the synergistic corrosion effect of environmental corrosion factors and wear state on the cable.

[0053] The corrosion development state information can be information that characterizes the corrosion rate and risk level at different positions of the cable.

[0054] Specifically, the cable corrosion is the result of the combined action of the fresh metal surface exposed by wear and environmental factors. If only environmental corrosion or mechanical wear is analyzed separately, the coupling effect of the two will be ignored, resulting in inaccurate corrosion assessment results. For example, in a coastal high-salt fog environment, the damage of the protective layer caused by wear will significantly accelerate the electrochemical corrosion effect, leading to an increase in the corrosion risk of the cable. Through mathematical analysis methods, combining the external environmental parameter set and the increment of the wear depth of the steel wire contact surface, construct an environment-wear coupled corrosion model that reflects the synergistic corrosion effect of the environment and wear to quantify the corrosion rate corresponding to different detection positions of the cable, and integrate to obtain the corrosion development state information to achieve a comprehensive assessment of the cable corrosion state.

[0055] S204. According to the corrosion development state information, determine and output a cable corrosion risk assessment report.

[0056] The cable corrosion risk assessment report can be a comprehensive report containing elements such as corrosion risk level, marking of high-risk positions, and maintenance suggestions.

[0057] Specifically, due to the extremely long cable length of bridge cables (the main cable can reach several kilometers), the risk of cable corrosion exhibits significant spatial heterogeneity. It is necessary to locate and distinguish high-risk corrosion areas to provide effective guiding data for subsequent maintenance work. According to the corrosion rates of different positions of the cable reflected in the corrosion development status information, the corrosion risks of different positions of the cable are evaluated, and through data visualization technology, the corrosion risk assessment results are integrated to construct a cable corrosion risk assessment report, and the cable corrosion risk assessment report is provided to cable maintenance personnel to achieve early warning of high-risk corrosion areas of the cable.

[0058] Through this solution, the cable static parameter set, external environment parameter set, and internal component status parameter set are analyzed collaboratively. Combining the interaction mechanism between mechanical wear and environmental corrosion, the formation and evolution trend of cable corrosion hotspots are accurately predicted, and the corresponding cable corrosion risk assessment report is provided to cable maintenance personnel to achieve timely identification and early warning of high-risk corrosion positions of the cable, timely detect potential safety hazards inside the cable, avoid local corrosion from expanding into structural damage, and significantly improve the service life of the cable.

[0059] In some embodiments, the cable static parameter set includes the wire friction coefficient, wire fatigue coefficient, wire material hardness, cable pre-tightening force, material reference aging rate, outer shell permeability coefficient, wire protective layer thickness, and wire yield strength; the external environment parameter set includes environmental temperature gradient distribution information, environmental humidity distribution information, and air salt spray concentration; the internal component status parameter set includes micro-slip information between wires, dynamic load amplitude spectrum between wires, alternating load action frequency, and alternating stress amplitude.

[0060] The wire friction coefficient can be a dimensionless parameter characterizing the friction characteristics of the wire contact surface. The wire fatigue coefficient can be a quantitative parameter characterizing the fatigue resistance of the wire material under alternating loads. The wire material hardness can be a physical parameter reflecting the surface compressive ability of the wire (such as the Rockwell hardness HRC value).

[0061] The cable pre-tightening force can be the pre-tightening force applied to the wires when the wires are bundled into a cable during the cable manufacturing process.

[0062] The material reference aging rate can be the natural corrosion rate of the cable material in a standard environment.

[0063] The outer shell permeability coefficient can be a parameter characterizing the barrier ability of the cable outer surface protective layer (such as a PE protective shell) to corrosion media (such as water, salt spray, etc.).

[0064] The wire protective layer thickness can be the initial thickness of the wire surface protective layer (such as a galvanized layer) when the cable leaves the factory. The wire yield strength can be the critical stress value when the wire material undergoes plastic deformation.

[0065] Specifically, the static cable parameter set reflects the inherent properties and initial state of the material and serves as a benchmark for assessing corrosion risks. Ignoring the wire friction coefficient makes it impossible to quantify the contribution of fretting friction energy loss to wear. The lack of cable pre-tension data leads to calculation deviations in contact surface pressure. Failing to consider the penetration coefficient of the protective layer underestimates the penetration effect of environmental corrosion media. For example, under the same environmental conditions, high-yield-strength wires have lower stress corrosion sensitivity, and a low protective layer penetration coefficient can delay the process of salt spray erosion. By integrating material properties (hardness, yield strength, friction coefficient, fatigue coefficient, baseline aging rate), protective performance (penetration coefficient, oxide layer thickness), and structural characteristics (pre-tension), a complete static data benchmark is established for subsequent environment-wear coupling analysis.

[0066] The environmental temperature gradient distribution information can be the environmental temperature distribution information at different positions of the cable.

[0067] The environmental humidity distribution information can be the spatial distribution data of the relative humidity of the air around the cable.

[0068] The air salt spray concentration can be the content of salt particles per unit volume of air around the cable.

[0069] Specifically, external environmental parameters are exogenous factors driving the development of corrosion. The temperature gradient affects the formation location of internal condensed water in the cable. High-humidity areas are prone to forming electrochemical corrosion microenvironments, and the salt spray concentration directly determines the chloride ion penetration rate. For example, in bridge cables, the salt spray concentration on the windward side is usually higher than that on the leeward side, resulting in non-uniform corrosion distribution. If only single-point environmental data are used, the spatial heterogeneity cannot be captured. Through multi-dimensional monitoring of temperature gradient, humidity distribution, and salt spray concentration, the corrosion hot spots affected by the environment can be accurately located.

[0070] The fretting slip information between wires can be the relative displacement amplitude of the contact surface between adjacent wires. When fretting slip occurs between adjacent wires, the magnetic field gradient field of the contact surface will exhibit asymmetric distortion. The fretting slip information between wires can be obtained by comparing the magnetic field intensity differences between adjacent sensor units in the magnetic array sensor, extracting the slip characteristic frequency, and then performing a short-time Fourier transform on the magnetic field time-domain signal.

[0071] The dynamic load amplitude spectrum between wires can be characteristic data reflecting the distribution of alternating load amplitudes with frequency. It can be obtained by collecting the time-varying signal of the magnetic flux density of the cable wires during the dynamic load process using a magnetic array sensor, combining the stress time history quantified by the inverse magnetoelastic model, and performing a fast Fourier transform.

[0072] The frequency of the alternating load action can be the main frequency component of the periodic external force borne by the cable. It can be determined by performing an autocorrelation analysis on the dynamic stress time history to extract the significant periodic components.

[0073] The alternating stress amplitude can be the range of cross-sectional stress fluctuations of the cable under the influence of alternating loads, and the alternating stress amplitude can be obtained by analyzing the stress data collected by the magnetic array sensor through the rainflow counting algorithm.

[0074] Specifically, the internal component state parameters reveal the dynamic damage mechanism during the operation of the cable; the fretting slip amount determines the increment of wear depth; the dynamic load spectrum reflects the cumulative characteristics of fatigue damage; the alternating stress amplitude affects the tendency of stress corrosion cracking; for example, high-frequency low-amplitude alternating loads are not likely to cause instantaneous fracture, but will accelerate fretting wear; while low-frequency high-amplitude loads are likely to cause macroscopic cracking of the protective layer; by real-time monitoring of these parameters, the corrosion prediction model can be dynamically corrected to avoid evaluation deviations caused by changes in working conditions.

[0075] Through this solution, multi-dimensional acquisition of the static properties, environmental conditions, and dynamic operation data of the cable is carried out to construct a full-element data system for corrosion risk assessment, eliminating the data blind spots of traditional methods, establishing a complete and scientific data benchmark for subsequent environment-wear coupling analysis, and improving the scientificity and comprehensiveness of the cable corrosion state assessment process.

[0076] In some embodiments, according to the dynamic load amplitude spectrum between the steel wires, determine the dynamic load amplitude of the steel wires corresponding to different time points at the current detection position within the preset unit detection time period; based on the action frequency of the alternating load, according to the dynamic load amplitude of the steel wires and the pre-tightening force of the cable, determine the contact surface pressure between the steel wires corresponding to different time points at the current detection position within the preset unit detection time period; according to the fretting slip information between the steel wires, determine the fretting slip amount between the steel wires corresponding to different time points at the current detection position within the preset unit detection time period; according to the preset unit detection time period and the action frequency of the alternating load, determine the number of load actions within the preset unit detection time period; according to the fatigue coefficient of the steel wires and the number of load actions, determine the energy accumulation correction factor; based on the energy accumulation correction factor, the contact surface pressure between the steel wires, and the fretting slip amount between the steel wires, according to the hardness of the steel wire material, construct a fretting friction energy dissipation model of the steel wires to determine the increment of the wear depth of the contact surface of the steel wires at the current detection position within the preset unit detection time period.

[0077] The preset unit detection time period can be a pre-set standard detection time window (such as 10 minutes) for the unit detection position of the cable, which is used to unify the data sampling duration of different detection positions.

[0078] The contact surface pressure between the steel wires is the normal pressure between the contact surfaces of adjacent steel wires under the combined action of dynamic load and pre-tightening force.

[0079] The energy accumulation correction factor reflects the amplification coefficient (dimensionless) of the influence of the alternating load cycle on energy dissipation.

[0080] Specifically, due to the long cable length, to ensure the detection efficiency and accuracy, under the constraint of a unified preset unit detection time period, according to the dynamic load amplitude spectrum between the steel wires, the micro-slip information between the steel wires, and the alternating load action frequency, the dynamic load amplitude of the steel wires, the micro-slip amount between the steel wires, and the number of load actions within the period corresponding to different positions of the cable at different time points within the detection time period are divided and extracted; the spatio-temporal distribution of the dynamic load amplitude directly affects the cumulative effect of fretting wear of the steel wires, the micro-slip amount directly determines the cumulative rate of friction work, and the number of load actions reflects the cumulative effect of the alternating load; under the combined action of the dynamic load amplitude between the steel wires and the cable pre-tightening force, the contact pressure between the steel wires will change, and the contact pressure between the steel wires directly determines the energy generated by the fretting friction between the steel wires. Through mathematical analysis, combined with the time-varying superposition of the pre-tightening force and the dynamic load, the contact pressure between the steel wires corresponding to different time points at the current detection position within the preset unit detection time period is quantified; at the same time, the alternating load has an amplifying effect on metal fatigue, and under the combined action of fatigue and friction, the wear of the steel wires will be aggravated. Through mathematical analysis, according to the steel wire fatigue coefficient and the number of load actions, the energy accumulation correction factor reflecting the metal fatigue state is quantified; then, based on the energy accumulation correction factor, the contact pressure between the steel wires, the micro-slip amount between the steel wires, and the hardness of the steel wire material, the fretting friction energy dissipation model of the steel wire is used to quantify the increment of the wear depth of the steel wire contact surface corresponding to different detection positions within the preset unit detection time period, so as to accurately reflect the wear of the cable under the influence of the alternating load.

[0081] Through this solution, the information reflecting the dynamic state of the cable is processed in segments with the detection position and the preset unit detection time period as the reference constraints, and the dynamic load amplitude of the steel wires, the micro-slip amount between the steel wires, and the number of load actions within the period corresponding to different detection positions at different time points within the preset unit detection time period are obtained. On this basis, the contact pressure between the steel wires and the energy accumulation correction factor are quantitatively analyzed, and then a fretting friction energy dissipation model of the steel wire that can reflect the fretting wear characteristics of the cable steel wire under the combined action of friction and fatigue in two dimensions is constructed, and the increment of the wear depth of the steel wire contact surface corresponding to different detection positions within the preset unit detection time period is obtained, so as to accurately and comprehensively reflect the wear of the cable under the influence of the alternating load.

[0082] In some embodiments, based on the energy accumulation correction factor, the contact pressure between the steel wires, and the micro-slip amount between the steel wires, according to the hardness of the steel wire material, a fretting friction energy dissipation model of the steel wire is constructed, specifically as the following formula (1): (1) Wherein, is the increment of the wear depth of the steel wire contact surface, is the energy accumulation correction factor, is the wire contact energy conversion coefficient, is the hardness of the wire material, at the current detection position at the current time point corresponding to the fretting slip amount between the wires, is the wire friction coefficient, is the wire fatigue coefficient, is the number of load applications, at the current detection position at the current time point the contact surface pressure between the wires, is the preset unit detection time period.

[0083] The wire contact energy conversion coefficient can be the proportionality coefficient of the friction energy converted into the material wear depth, which is determined by the wire material properties.

[0084] Specifically, in the case of fretting wear during wire contact, the wear depth increment is directly related to the energy dissipation. The slip amount and the contact surface pressure between the wires both play a role in the energy dissipation, and the wear volume is related to the contact pressure, slip amount, and material hardness; by describing the work done under the influence of the contact surface pressure and slip amount during the wire fretting friction process, and then through the integral term characterizing the cumulative frictional dissipation energy within the preset unit time period, the wire contact energy conversion coefficient directly determines the part of the dissipated frictional energy that can be converted into the wear depth; the larger the wire contact energy conversion coefficient, the larger the wear material volume. The wire material hardness is the ability to resist plastic deformation or wear, and the wire material hardness plays a role in adjusting the consumption rate in the denominator. The higher the hardness, the stronger the wire's ability to resist wear, and using reflects the influence of the wire material properties on the wear depth; since the wire fretting contact does not fully utilize the energy dissipation effect for each slip, the energy accumulation efficiency is affected by material fatigue. By introducing an energy accumulation correction factor, the fatigue characteristics of the wire under the influence of alternating loads are described, and then the wear depth increment of the wire contact surface is quantitatively obtained.

[0085] Through this solution, using mathematical analysis means, based on the energy accumulation correction factor, the contact surface pressure between the wires, and the fretting slip amount between the wires, according to the wire material hardness, the wear development performance of the wire under the combined action of friction and fatigue is described, and then the wear depth increment of the wire contact surface is quantitatively obtained to accurately evaluate the wear rate of the wire at the current detection position under the influence of alternating loads, providing scientific data support for the wire corrosion risk assessment.

[0086] In some embodiments, based on the alternating load acting frequency, according to the wire dynamic load amplitude and the cable pre-tightening force, the contact surface pressure between the wires corresponding to different time points at the current detection position within the preset unit detection time period is determined, specifically by the following formula (2): (2) Wherein, is the contact surface pressure between the wires at the current detection position at the current time point underneath; is the cable pre-tightening force; is the current time point underneath the wire dynamic load amplitude; is the alternating load acting frequency; is the preset unit detection time period.

[0087] Specifically, since the alternating load has the characteristic of periodic fluctuation, the periodic fluctuating pressure exerted by the alternating load on the wire is described by in formula (2), and then combined with the cable pre-tightening force exerted by the cable itself on the wire, the contact surface pressure between the wires is quantitatively obtained.

[0088] Through this solution, by using mathematical analysis means, based on the alternating load acting frequency, according to the wire dynamic load amplitude and the cable pre-tightening force, the periodic fluctuating pressure exerted by the alternating load on the wire is captured, combined with the cable pre-tightening force exerted by the cable itself on the wire, the contact surface pressure between the wires is quantitatively obtained, improving the accuracy and scientificity of the contact surface pressure between the wires, so that the increment of the wear depth of the wire contact surface is more accurate.

[0089] In some embodiments, according to the environmental temperature gradient distribution information and the environmental humidity distribution information, the internal relative humidity and the internal temperature of the cable are determined; according to the air salt fog concentration, the internal salt fog deposition concentration of the cable is determined; based on the material reference aging rate, the wire protective layer thickness, the alternating stress amplitude and the wire yield strength, according to the internal relative humidity, the internal temperature, the internal salt fog deposition concentration, the wire contact surface wear depth increment and the alternating load acting frequency, an environment-wear coupling analysis is performed on the cable corrosion development state, an environment-wear coupling corrosion model is constructed, and the corrosion development rate corresponding to different detection positions is determined; according to the corrosion development rate corresponding to different detection positions, the corrosion development state information is constructed.

[0090] The internal relative humidity may be a quantitative value used to reflect the internal relative humidity level of the cable.

[0091] The internal temperature may be a quantitative value used to reflect the internal relative temperature of the cable.

[0092] The internal salt fog deposition concentration may be a quantitative value used to reflect the air salt concentration inside the cable.

[0093] The corrosion development rate can be a quantitative value used to characterize the corrosion development speed of steel wires under the dual action of environmental factors and wear.

[0094] Specifically, the corrosion condition of the steel wires in the cable is affected by the temperature, humidity, and salt fog concentration in its environment, and the specific manifestations are as follows: an increase in temperature usually accelerates the rate of chemical reactions, including oxidation reactions and corrosion reactions; humidity is one of the important factors affecting the corrosion of steel. In a high-humidity environment, moisture easily forms an electrolyte solution, promoting the progress of the electrochemical corrosion process; salt fog is a common corrosion medium, especially in coastal areas or regions where cross-sea bridges are located, and the salt fog concentration in the air is relatively high. Salt ions (such as chloride ions) can significantly reduce the resistivity of water, thereby accelerating the occurrence of electrochemical corrosion reactions. Through a fluid simulation platform, such as FLUENT, based on the material characteristics of the cable and the characteristics of the outer shell material, the temperature conduction state, humidity diffusion state, and salt fog deposition state inside the cable are simulated, and the mapping relationship between the internal temperature, humidity, and salt fog deposition concentration and external environmental factors is established. On this basis, according to the environmental temperature gradient distribution information, environmental humidity distribution information, and air salt fog concentration, the internal temperature, internal relative humidity, and internal salt fog settlement concentration are obtained respectively. On this basis, combined with the material characteristics and dynamic wear condition of the cable, through mathematical analysis means, environmental-wear coupling analysis is carried out to construct the environmental-wear coupling corrosion model, and the corrosion development rate at different detection positions of the cable under the dual influence of environmental factors and dynamic wear is quantified, and the corrosion development state information is integrated and constructed to reflect the corrosion development state of different positions of the cable, so as to realize the quantitative prediction of the cable corrosion state.

[0095] Through this solution, an environmental-wear coupling model is constructed to simultaneously capture the synergistic effect of mechanical damage and chemical erosion, significantly improving the prediction accuracy of the corrosion rate, avoiding the underestimation risk of a single-factor model, combining the alternating load application frequency and stress amplitude, dynamically reflecting the non-steady characteristics of corrosion development under actual working conditions, supporting the adaptive analysis of sudden load changes, and providing accurate data support for locating high-corrosion-risk areas by quantitatively analyzing the corrosion development rate at different detection positions.

[0096] In some embodiments, based on the material reference aging rate, the thickness of the steel wire protective layer, the alternating stress amplitude, and the steel wire yield strength, according to the internal relative humidity, internal temperature, internal salt fog settlement concentration, the incremental wear depth of the steel wire contact surface, and the alternating load application frequency, environmental-wear coupling analysis is carried out on the corrosion development state of the cable to construct an environmental-wear coupling corrosion model and determine the corrosion development rate, specifically as the following formula (3): (3) Where is the corrosion development rate, is the material-based aging rate, is the shell permeability coefficient, is the internal salt spray deposition concentration, is the internal relative humidity, is the preset humidity adjustment index, is the internal temperature, is the increment of the wear depth of the wire contact surface, is the thickness of the wire protective layer, is the preset dynamic load coupling factor, is the alternating stress amplitude, is the alternating load application frequency, is the preset load adjustment index, is the yield strength of the wire.

[0097] The preset humidity adjustment index can be a quantitative index used to adjust the non-linear enhancement effect of humidity on the corrosion rate. The preset humidity adjustment index can take 1.5, and when the humidity > 75%, the corrosion rate increases exponentially.

[0098] The preset load adjustment index can be a quantitative index used to adjust the non-linear influence effect of the load application frequency on the corrosion rate. The preset load adjustment index can take 0.3. Specifically, through the in formula (3) to describe the influence of external environmental factors on the corrosion development rate, and through the in the molecular part to reflect the enhancement effect of the internal salt spray deposition concentration and the internal relative humidity on the corrosion rate. Among them, the salt spray deposition concentration is linearly and positively correlated with the corrosion rate, and the humidity is non-linearly correlated with the corrosion rate (the corrosion rate will increase rapidly after the humidity reaches a certain threshold). Through the in the denominator part to convert the Celsius temperature to the Kelvin scale, reflecting the regulation of temperature on the ion migration rate, and introducing the shell permeability coefficient to condition the overall influence of external environmental factors; at the same time, through the to describe the influence of the wear situation between wires under dynamic load on the corrosion efficiency. The depth increment caused by wear of the wire determines the exposed area of the inner layer metal of the wire. The larger the exposed area, the higher the corrosion rate. At the same time, the thicker the wire protective layer, the more difficult it is for the inner layer metal to be exposed due to wear. Therefore, through the to describe the relative increment of the corrosion rate under wear and use the logarithmic model to describe the non-linear addition effect of the wear state on the corrosion rate; through the to describe the influence of the stress change under alternating load on the corrosion rate. The larger the stress amplitude and the higher the alternating load application frequency, the greater the local strain energy of the cable, and the higher the corrosion rate. The yield strength of the wire is introduced as the normalization reference for stress addition to control the numerical range; integrating the above three-fold influence, the quantification of the corrosion development rate is realized on the basis of the material-based aging rate.

[0099] Through this solution, by means of mathematical analysis, based on the material reference aging rate, the thickness of the steel wire protective layer, the alternating stress amplitude, and the yield strength of the steel wire, and according to the internal relative humidity, internal temperature, internal salt spray settlement concentration, the incremental wear depth of the steel wire contact surface, and the alternating load action frequency, the effects of the environment, wear, and dynamic stress on the cable corrosion rate are respectively described. Under the triple influence dimension, based on the material reference aging rate, the accurate quantification of the corrosion development rate is realized, and the accuracy and scientificity of the corrosion development rate are improved.

[0100] In some embodiments, the corrosion development rates corresponding to different detection positions are respectively compared with the corresponding preset corrosion rate thresholds to determine the comparison results; according to the comparison results, a set of safe positions, a set of positions to be focused on in the subsequent inspection, and a set of high-risk positions are respectively determined; according to the three-dimensional color differentiation annotation strategy, the corresponding detection positions in the set of safe positions, the set of positions to be focused on in the subsequent inspection, and the set of high-risk positions are respectively highlighted and warned, and the detection annotation warning information is determined; according to the detection annotation warning information, a cable corrosion risk assessment report is constructed and output.

[0101] The three-dimensional color differentiation annotation strategy can be a method for visually annotating positions with different risk levels in the cable model based on the three colors of red, yellow, and green.

[0102] The set of safe positions can be a set of detection positions where the corrosion rate is within the safe range. The assessment of the safe range can be based on the standard of being lower than 80% of the corresponding threshold.

[0103] The set of positions to be focused on in the subsequent inspection can be a set of detection positions where the corrosion rate is relatively high and needs to be focused on during subsequent inspection and maintenance. The assessment of a relatively high corrosion rate can be based on the standard of 80% - 95% of the corresponding threshold.

[0104] The set of high-risk positions can be a set of detection positions where the corrosion development rate is too high, corresponding to the cable sections that need to be urgently maintained. The assessment of a too high corrosion development rate can be based on the standard of exceeding 95% of the corresponding threshold.

[0105] The detection annotation warning information can be the information with annotations obtained after corresponding risk annotations are made on different positions of the cable.

[0106] Specifically, there are differences in the stress states and environments of different sections of the cable. If a unified threshold is used for assessment, it will lead to missed inspections in high-risk areas or false alarms in low-risk areas. By presetting dynamic thresholds that match the location characteristics, the accuracy of risk assessment can be improved; during the process of safety level classification, if only "safe" and "high-risk" are classified, it cannot reflect the intermediate state of corrosion development (such as a temporary increase in rate but not reaching the critical value). Adding a "key area for follow-up attention" level can guide maintenance personnel to implement hierarchical control and optimize the allocation of subsequent maintenance resources; through a three-dimensional color differentiation annotation strategy, the risk distribution of different positions of the cable can be intuitively and clearly shown, improving the readability of the cable corrosion risk assessment report.

[0107] Through this solution, by using dynamic thresholds and multi-level classification, risk areas at different development stages can be accurately distinguished, avoiding waste of subsequent maintenance resources or risk omission caused by a "one-size-fits-all" assessment. By providing an intuitive corrosion risk view through a three-dimensional color differentiation annotation strategy, the complexity of manual analysis is significantly reduced, and the efficiency and scientific nature of subsequent maintenance plan formulation are improved.

[0108] In some embodiments, according to the set of high-risk positions, the parameter change information set during the assessment of the corrosion development rate corresponding to each high-risk position is extracted; the parameter change information set is analyzed to determine the main root cause of corrosion risk corresponding to each high-risk position; based on a preset large language model, according to the main root cause of corrosion risk, the corresponding maintenance optimization suggestions are determined and added to the cable corrosion risk assessment report.

[0109] The parameter change information set can be a set of parameters that dynamically change during the corrosion assessment of high-risk positions.

[0110] The main root cause of corrosion risk can be the dominant factor type that causes accelerated corrosion at specific high-risk positions, such as "salt spray penetration dominant type", "humid heat coupling dominant type", etc.

[0111] The preset large language model can be a large language inference model used to give corresponding maintenance suggestions according to the main root cause of corrosion risk. The preset large language model can be an existing large language model, such as ChatGPT.

[0112] The maintenance optimization suggestions can be maintenance suggestions for the main root cause of corrosion risk.

[0113] Specifically, the corrosion acceleration at the same high-risk location may be driven by different factors (such as salt spray erosion, mechanical fatigue) or combined factors. If only the risk level is output without identifying the dominant root cause, it will lead to a mismatch between the maintenance measures and the actual problems (such as wrongly implementing stress relief in areas dominated by salt spray), reducing the maintenance effectiveness. By extracting the parameters in the parameter change information set that have a significant impact on the corrosion rate, taking the corresponding influencing factors as the key root causes of corrosion risk, and giving corresponding maintenance optimization suggestions through a pre-set large language model, based on the natural language generation technology of the large language model, it can dynamically associate the parameter change patterns with industry knowledge bases (such as ASTM maintenance standards, historical case libraries), output personalized and interpretable maintenance suggestions to adapt to diverse root cause combination scenarios, provide targeted suggestions with reference significance for maintenance personnel, and improve the subsequent maintenance efficiency and effect.

[0114] Through this solution, locate the root causes of the factors causing the abnormal corrosion rate at high-risk locations, determine the key root causes of corrosion risk, and according to the large language model, give corresponding maintenance optimization suggestions for the key root causes of corrosion risk. Add the maintenance optimization suggestions to the cable corrosion risk assessment report to provide targeted suggestions with reference significance for maintenance personnel and improve the subsequent maintenance efficiency and effect.

[0115] Figure 3 The structure diagram of a cable internal corrosion risk warning system provided by an embodiment of the present application is as Figure 3 shown. A cable internal corrosion risk warning system 300 of this embodiment includes: a parameter collection module 301, a wear analysis module 302, a coupling analysis module 303, and an output module 304.

[0116] The parameter collection module 301 is used to obtain a cable static parameter set, an external environment parameter set, and an internal component status parameter set; the wear analysis module 302 is used to construct a wire fretting friction energy dissipation model based on the internal component status parameter set and determine the wear depth increment of the wire contact surface; the coupling analysis module 303 is used to construct an environment-wear coupling corrosion model based on the external environment parameter set and the wear depth increment of the wire contact surface and determine the corrosion development status information; the output module 304 is used to determine and output a cable corrosion risk assessment report according to the corrosion development status information.

[0117] Optionally, in the parameter collection module 301, the cable static parameter set includes the wire friction coefficient, wire fatigue coefficient, wire material hardness, cable pre-tightening force, material reference aging rate, shell penetration coefficient, wire protective layer thickness, and wire yield strength; the external environment parameter set includes environmental temperature gradient distribution information, environmental humidity distribution information, and air salt spray concentration; the internal component state parameter set includes wire micro-slip information between wires, dynamic load amplitude spectrum between wires, alternating load action frequency, and alternating stress amplitude.

[0118] Optionally, the wear analysis module 302 is specifically configured to: determine the wire dynamic load amplitude corresponding to different time points at the current detection position within a preset unit detection time period according to the dynamic load amplitude spectrum between wires; based on the alternating load action frequency, determine the contact surface pressure between wires corresponding to different time points at the current detection position within the preset unit detection time period according to the wire dynamic load amplitude and the cable pre-tightening force; determine the micro-slip amount between wires corresponding to different time points at the current detection position within the preset unit detection time period according to the wire micro-slip information between wires; determine the number of load actions within the preset unit detection time period according to the preset unit detection time period and the alternating load action frequency; determine the energy accumulation correction factor according to the wire fatigue coefficient and the number of load actions; based on the energy accumulation correction factor, the contact surface pressure between wires, and the micro-slip amount between wires, construct the wire micro-motion friction energy dissipation model according to the wire material hardness, and determine the wear depth increment of the wire contact surface at the current detection position within the preset unit detection time period.

[0119] Optionally, when the wear analysis module 302 constructs the wire micro-motion friction energy dissipation model according to the energy accumulation correction factor, the contact surface pressure between wires, and the micro-slip amount between wires, and according to the wire material hardness, it is specifically the following formula: ; Where is the wear depth increment of the wire contact surface, is the energy accumulation correction factor, is the wire contact energy conversion coefficient, is the wire material hardness, is the micro-slip amount between wires corresponding to the current detection position at the current time point , is the wire friction coefficient, is the wire fatigue coefficient, is the number of load actions, is the contact surface pressure between wires corresponding to the current detection position at the current time point The contact surface pressure between the steel wires described below is the preset unit detection time period.

[0120] Optionally, when the wear analysis module 302 determines the contact surface pressure between the steel wires corresponding to different time points at the current detection position within the preset unit detection time period based on the alternating load application frequency, according to the dynamic load amplitude of the steel wires and the cable pre-tightening force, it is specifically the following formula: ; Wherein, is the contact surface pressure between the steel wires at the current detection position at the current time point , is the cable pre-tightening force, is the current time point under the dynamic load amplitude of the steel wires, is the alternating load application frequency, is the preset unit detection time period.

[0121] Optionally, the coupling analysis module 303 is specifically configured to: determine the internal relative humidity and internal temperature of the cable according to the environmental temperature gradient distribution information and environmental humidity distribution information; determine the internal salt fog deposition concentration of the cable according to the air salt fog concentration; based on the material reference aging rate, the steel wire protective layer thickness, the alternating stress amplitude, and the steel wire yield strength, according to the internal relative humidity, the internal temperature, the internal salt fog deposition concentration, the wear depth increment of the steel wire contact surface, and the alternating load application frequency, perform an environment-wear coupling analysis on the corrosion development state of the cable, construct the environment-wear coupling corrosion model, determine the corrosion development rate corresponding to different detection positions; construct the corrosion development state information according to the corrosion development rate corresponding to different detection positions.

[0122] Optionally, when the coupling analysis module 303 performs an environment-wear coupling analysis on the corrosion development state of the cable based on the material reference aging rate, the steel wire protective layer thickness, the alternating stress amplitude, and the steel wire yield strength, according to the internal relative humidity, the internal temperature, the internal salt fog deposition concentration, the wear depth increment of the steel wire contact surface, and the alternating load application frequency, constructs the environment-wear coupling corrosion model, and determines the corrosion development rate, it is specifically the following formula: ; Wherein, is the corrosion development rate, is the material reference aging rate, is the shell permeability coefficient, is the internal salt fog deposition concentration, is the internal relative humidity, is the preset humidity adjustment index, is the internal temperature, is the increment of the wear depth of the wire contact surface, is the thickness of the wire protective layer, is the preset dynamic load coupling factor, is the alternating stress amplitude, is the acting frequency of the alternating load, is the preset load adjustment index, is the yield strength of the wire.

[0123] Optionally, the output module 304 is specifically configured to: compare the corrosion development rates corresponding to different detection positions with the corresponding preset corrosion rate thresholds respectively to determine the comparison results; determine the safe position set, the subsequent key attention position set, and the high-risk position set respectively according to the comparison results; perform high-light warning markings on the corresponding detection positions in the safe position set, the subsequent key attention position set, and the high-risk position set respectively according to the three-dimensional color differentiation marking strategy to determine the detection marking warning information; construct and output the cable corrosion risk assessment report according to the detection marking warning information.

[0124] Optionally, the system further includes a root cause analysis module 305, which is specifically configured to: extract the parameter change information set in the evaluation process of the corrosion development rate corresponding to each high-risk position according to the high-risk position set; analyze the parameter change information set to determine the corrosion risk focus root cause corresponding to each high-risk position; based on a preset large language model, determine the corresponding maintenance optimization suggestions according to the corrosion risk focus root cause, and add the maintenance optimization suggestions to the cable corrosion risk assessment report.

[0125] The system of this embodiment can be used to execute the method of any of the above embodiments, and its implementation principle and technical effects are similar, which will not be elaborated here.

Claims

1. A method for warning of internal corrosion risk of a cable, characterized in that, Including: Obtain a set of cable static parameters, a set of external environment parameters, and a set of internal component state parameters; Based on the set of internal component state parameters, construct a wire fretting friction energy dissipation model to determine the increment of the wear depth of the wire contact surface; Based on the set of external environment parameters, according to the increment of the wear depth of the wire contact surface, construct an environment-wear coupling corrosion model to determine the corrosion development state information; According to the corrosion development state information, determine and output a cable corrosion risk assessment report.

2. The method according to claim 1, characterized in that The set of cable static parameters includes wire friction coefficient, wire fatigue coefficient, wire material hardness, cable pre-tightening force, material reference aging rate, shell permeability, wire protective layer thickness, and wire yield strength; The set of external environment parameters includes environmental temperature gradient distribution information, environmental humidity distribution information, and air salt spray concentration; The set of internal component state parameters includes wire fretting slip information, wire dynamic load amplitude spectrum, alternating load action frequency, and alternating stress amplitude.

3. The method according to claim 2, wherein The constructing a wire fretting friction energy dissipation model to determine the increment of the wear depth of the wire contact surface according to the set of internal component state parameters includes: According to the wire dynamic load amplitude spectrum, determine the wire dynamic load amplitudes corresponding to different time points at the current detection position within a preset unit detection time period; Based on the alternating load action frequency, according to the wire dynamic load amplitude and the cable pre-tightening force, determine the contact surface pressure between wires corresponding to different time points at the current detection position within the preset unit detection time period; According to the wire fretting slip information, determine the wire fretting slip amounts corresponding to different time points at the current detection position within the preset unit detection time period; According to the preset unit detection time period and the alternating load action frequency, determine the number of load actions within the preset unit detection time period; According to the wire fatigue coefficient and the number of load actions, determine the energy accumulation correction factor; Based on the energy accumulation correction factor, the contact surface pressure between wires, and the wire fretting slip amount, according to the wire material hardness, construct the wire fretting friction energy dissipation model to determine the increment of the wear depth of the wire contact surface at the current detection position within the preset unit detection time period.

4. The method according to claim 3, wherein The constructing the wire fretting friction energy dissipation model based on the energy accumulation correction factor, the contact surface pressure between wires, and the wire fretting slip amount, according to the wire material hardness is specifically the following formula: ； Among them, is the increment of the wear depth of the steel wire contact surface, is the energy accumulation correction factor, is the steel wire contact energy conversion coefficient, is the hardness of the steel wire material, is the current detection position at the current time point corresponding to the fretting slip amount between steel wires, is the friction coefficient of the steel wire, is the fatigue coefficient of the steel wire, is the number of load applications, is the current detection position at the current time point corresponding to the contact surface pressure between the steel wires, is the preset unit detection time period.

5. The method according to claim 3, wherein The determining the contact surface pressure between wires corresponding to different time points at the current detection position within the preset unit detection time period based on the alternating load action frequency, according to the wire dynamic load amplitude and the cable pre-tightening force is specifically the following formula: ； Wherein, is the contact surface pressure between the steel wires at the current detection position at the current time point is the cable pre-tightening force, is the dynamic load amplitude of the steel wires at the current time point is the current time point is the dynamic load amplitude of the steel wires under the above conditions, is the acting frequency of the alternating load, is the preset unit detection time period.

6. The method according to claim 5, wherein The constructing an environment-wear coupling corrosion model to determine the corrosion development state information based on the set of external environment parameters, according to the increment of the wear depth of the wire contact surface includes: According to the environmental temperature gradient distribution information and environmental humidity distribution information, determine the internal relative humidity and internal temperature of the cable; According to the air salt spray concentration, determine the internal salt spray deposition concentration of the cable; Based on the material reference aging rate, the steel wire protective layer thickness, the alternating stress amplitude, and the steel wire yield strength, according to the internal relative humidity, the internal temperature, the internal salt spray deposition concentration, the increment of the wear depth of the steel wire contact surface, and the alternating load action frequency, perform an environment-wear coupling analysis on the corrosion development state of the cable, construct the environment-wear coupling corrosion model, and determine the corrosion development rate corresponding to different detection positions; Construct the corrosion development state information according to the corrosion development rate corresponding to different detection positions.

7. The method according to claim 6, wherein The above-mentioned performing an environment-wear coupling analysis on the corrosion development state of the cable, constructing the environment-wear coupling corrosion model, and determining the corrosion development rate corresponding to different detection positions based on the material reference aging rate, the steel wire protective layer thickness, the alternating stress amplitude, and the steel wire yield strength, according to the internal relative humidity, the internal temperature, the internal salt spray deposition concentration, the increment of the wear depth of the steel wire contact surface, and the alternating load action frequency is specifically the following formula: ； Among them, is the corrosion development rate, is the reference aging rate of the material, is the shell permeability coefficient, is the internal salt spray sedimentation concentration, is the internal relative humidity, is the preset humidity adjustment index, is the internal temperature, is the increment of the wear depth of the wire contact surface, is the thickness of the wire protective layer, is the preset dynamic load coupling factor, is the alternating stress amplitude, is the action frequency of the alternating load, is the preset load adjustment index, is the yield strength of the wire.

8. The method according to claim 7, wherein Based on the corrosion development state information, determine and output a cable corrosion risk assessment report, including: Compare the corrosion development rates corresponding to different detection positions with the corresponding preset corrosion rate thresholds respectively to determine the comparison results; According to the comparison results, determine the safe position set, the subsequent key attention position set, and the high-risk position set respectively; According to the three-dimensional color differentiation marking strategy, perform high-light warning markings on the detection positions corresponding to the safe position set, the subsequent key attention position set, and the high-risk position set respectively to determine the detection marking warning information; Construct and output the cable corrosion risk assessment report according to the detection marking warning information.

9. The method according to claim 8, characterized in that, The method further includes: According to the high-risk position set, extract the parameter change information set during the evaluation process of the corrosion development rate corresponding to each high-risk position; Analyze the parameter change information set to determine the corrosion risk focus root cause corresponding to each high-risk position; Based on a preset large language model, determine the corresponding maintenance optimization suggestions according to the corrosion risk focus root cause, and add the maintenance optimization suggestions to the cable corrosion risk assessment report.

10. A cable internal corrosion risk warning system is applied to a cable internal corrosion risk warning method as described in claims 1-9, and is characterized in that, Including: A parameter collection module for obtaining a cable static parameter set, an external environment parameter set, and an internal component state parameter set; A wear analysis module for constructing a steel wire fretting friction energy dissipation model according to the internal component state parameter set and determining the increment of the wear depth of the steel wire contact surface; A coupling analysis module for constructing an environment-wear coupling corrosion model based on the external environment parameter set and according to the increment of the wear depth of the steel wire contact surface to determine the corrosion development state information; An output module for determining and outputting a cable corrosion risk assessment report according to the corrosion development state information.

Images