Hydropower engineering ferromagnetic steel wire rope safety monitoring method and system

Abstract

The invention discloses a hydropower engineering ferromagnetic steel wire rope safety monitoring method and system, and relates to the technical field of safety monitoring. Through a magnetic field signal monitoring and early warning module and an electromagnetic interference source analysis and signal correction module, a magnetic field sensor is used for collecting magnetic field signal related data, and a magnetic field variation coefficient Byx is calculated; comparing and analyzing by combining a magnetic field variation threshold value Q, detecting magnetic field abnormity and sending out an interference early warning instruction; interference signal intensity Cjd is calculated and evaluated, and interference signals are eliminated in combination with a filtering algorithm; correcting a magnetic field signal by calculating a magnetic field attenuation correction factor Tda; the influence of temperature and humidity on the magnetic field signal is corrected by calculating an environment temperature and humidity correction coefficient Fth; and finally, extracting the interference signal intensity Cjd of the steel wire rope, the magnetic induction attenuation coefficient Fda and the environment temperature and humidity coefficient Fth, calculating a safety evaluation index Apzs, evaluating the safety condition of the steel wire rope, generating a performance evaluation report, and providing a reliable basis for operation and maintenance.

Description

Technical Field

[0001] The invention relates to the technical field of safety monitoring, and in particular to a method and system for safety monitoring of ferromagnetic steel wire ropes in hydropower engineering. Background Art

[0002] Ferromagnetic wire ropes are important load-bearing components in hydropower projects, and their safety performance is directly related to the stable operation of the project. The safety monitoring technology of ferromagnetic wire ropes originated from the accurate identification of surface damage of wire ropes. By utilizing the changes in the magnetic field generated by the wire ropes under the action of external forces and combining the principles of magnetomechanics, a non-contact monitoring method based on ferromagnetic materials has been developed. With the development of sensor technology, data processing technology and artificial intelligence algorithms, this technology has gradually transitioned to real-time monitoring, remote diagnosis and early warning systems, which can issue alarms in time when the wire ropes are damaged or fatigued, ensuring the safe operation of hydropower projects and effectively extending the service life of the wire ropes.

[0003] However, the existing safety monitoring methods for ferromagnetic steel wire ropes in hydropower projects often have the following technical disadvantages in practical applications: 1. Magnetic field interference problem: There may be other strong electromagnetic field sources in the hydropower project environment, such as electrical equipment, transmission lines, etc. These external magnetic fields may interfere with the magnetic field monitoring signal of the ferromagnetic wire rope, affecting the monitoring accuracy and reliability.

[0004] 2. Magnetic induction signal attenuation: As the wire rope is used for a longer time, dirt or rust may accumulate on its surface. These factors will cause the magnetic field signal to attenuate, thereby affecting the sensitivity of the monitoring system and the accuracy of the signal.

[0005] 3. Temperature and humidity sensitivity: The ferromagnetic wire rope monitoring system is sensitive to changes in ambient temperature and humidity. In humid or temperature-difference environments such as hydropower stations, temperature and humidity changes may cause errors in magnetic field sensing signals, thus affecting the monitoring results. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a method and system for safety monitoring of ferromagnetic steel wire ropes in hydropower projects, which solves the technical shortcomings of magnetic field interference, magnetic induction signal attenuation, and temperature and humidity sensitivity in the background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: A method for safety monitoring of ferromagnetic steel wire ropes in hydropower projects, comprising the following steps: Step 1: Obtain the electronic distribution map of the steel wire rope in the hydropower project in advance, and monitor the magnetic field signal related data of the steel wire rope in real time through the sensor arranged on the steel wire rope, and construct a magnetic field strength state data set; then calculate and obtain the magnetic field variation coefficient Byx based on the magnetic field strength state data set, and pre-set the magnetic field variation threshold Q, and compare and analyze the magnetic field variation coefficient Byx with the magnetic field variation threshold Q to evaluate the relative intensity of the current steel wire rope magnetic field change. If an abnormal fluctuation is detected, a magnetic field interference warning instruction is issued; Step 2: After receiving the magnetic field interference warning instruction, monitor the possible electromagnetic interference sources in the hydropower project, and obtain electromagnetic interference related data in real time through the electromagnetic interference sensor; calculate and evaluate the interference signal strength Cjd, and combine the filtering algorithm to eliminate the interference signal; Step 3: Based on the real-time data related to the magnetic field signal of the wire rope, combined with the data related to the service life of the wire rope and the data related to the surface condition of the wire rope, the magnetic field attenuation correction factor Tda is obtained and evaluated, and the magnetic field signal attenuation caused by equipment aging and dirt accumulation is corrected according to the evaluation content of the magnetic field attenuation correction factor Tda; Step 4: Real-time collection and combination of temperature and humidity related data of the hydropower project operation environment, obtain and evaluate the environmental temperature and humidity coefficient Fth, and use the environmental temperature and humidity coefficient Fth to perform temperature and humidity compensation on the wire rope magnetic field signal; Step 5. After extracting the wire rope interference signal strength Cjd, the magnetic induction attenuation coefficient Fda and the ambient temperature and humidity coefficient Fth and normalizing them numerically, the wire rope safety assessment index Apzs is obtained by calculation; and the safety assessment index Apzs is compared and analyzed with the preset safety assessment threshold Z to evaluate the current safety status of the wire rope and generate a performance evaluation report, which includes a series of contents such as equipment information, monitoring information, trend chart, evaluation information, early warning and alarm records.

[0008] Preferably, step one specifically includes: The magnetic field sensor arranged on the wire rope monitors the magnetic field signal of the wire rope in real time, obtains the magnetic field signal related data, pre-processes the collected magnetic field signal related data, including denoising and format conversion, and finally constructs the magnetic field strength state data set; by extracting the magnetic field strength mean value Bcq, magnetic field fluctuation amplitude Bfd, sensor calibration parameter Bjz and interval duration Bjs from the magnetic field strength state data set, the magnetic field variation coefficient Byx is calculated by combining the following formula:

[0009] Among them, the specific comparative evaluation contents of the magnetic field variation coefficient Byx and the magnetic field variation threshold Q are as follows: If the magnetic field variation coefficient Byx ≤ the magnetic field variation threshold Q, the magnetic field variation is within the normal range, and the wire rope magnetic field is determined to be in a stable state without interference fluctuations.

[0010] If the magnetic field variation coefficient Byx>magnetic field variation threshold Q, the magnetic field variation exceeds the normal range, and it is determined that the wire rope magnetic field fluctuates abnormally, is disturbed, or the wire rope state has potential risks.

[0011] Preferably, step 2 specifically includes: Through the electromagnetic interference sensors arranged in the hydropower project, the possible electromagnetic interference sources are monitored in real time to obtain electromagnetic interference related data, including the intensity data and frequency characteristic data of the interference signal; then the collected electromagnetic interference related data are preprocessed, including signal filtering, normalization processing and noise removal; based on the preprocessed data, the interference signal strength Cjd is calculated, and the specific calculation formula is as follows:

[0012] In the formula, Cxh represents the signal amplitude in the electromagnetic interference related data, Cpl represents the frequency distribution value in the electromagnetic interference related data, Cxz represents the interference signal-to-noise ratio in the electromagnetic interference related data, and Cgr represents the duration of the interference signal in the electromagnetic interference related data. The interference signal is eliminated by combining the filtering algorithm.

[0013] Preferably, step 2 specifically further includes: The preset interference intensity threshold W is compared and evaluated with the interference signal intensity Cjd. The specific contents are as follows: If the interference signal strength Cjd≤interference strength threshold W, the interference strength is within the controllable range, and it is determined that the interference signal has no effect on wire rope monitoring, and no interference elimination measures are required.

[0014] If the interference signal strength Cjd>interference strength threshold W, the interference strength exceeds the controllable range, and it is determined that the interference signal affects the wire rope monitoring, and the filtering algorithm needs to be started to eliminate the interference.

[0015] Preferably, step three includes: The service life data of the wire rope are extracted by using the operation records and equipment maintenance files; the surface condition data of the wire rope are collected by visual monitoring equipment and surface scanning sensors; based on the service life data, surface condition data and wire rope magnetic field signal data, the magnetic field attenuation correction factor Tda is calculated by combining the following formula:

[0016] Wherein, Miv represents the average number of maintenance intervals in the service life related data, Lrt represents the cumulative operating load time in the service life related data; Dtm represents the mean dirt thickness in the surface condition related data, Crd represents the surface crack density in the surface condition related data; Bdr represents the magnetic signal attenuation rate in the wire rope magnetic field signal related data.

[0017] Preferably, step three also includes: By comparing and evaluating the preset magnetic field attenuation correction threshold E and the magnetic field attenuation correction factor Tda, the magnetic field signal attenuation caused by equipment aging and dirt accumulation is corrected. The specific contents are as follows: The magnetic field attenuation correction factor Tda≤the magnetic field attenuation correction threshold E, indicating that the magnetic field attenuation correction factor Tda is within a normal range, and it is determined that equipment aging and surface dirt have no effect on the magnetic field signal, and no further correction is required.

[0018] The magnetic field attenuation correction factor Tda> the magnetic field attenuation correction threshold E indicates that the magnetic field attenuation correction factor Tda exceeds the normal range, and it is determined that equipment aging and surface dirt have an attenuation effect on the magnetic field signal. At this time, the correction process is started, including amplitude compensation and dynamic trend adjustment of the magnetic field strength signal.

[0019] Preferably, step 4 specifically includes: The temperature and humidity related data are collected by high-frequency temperature sensors and humidity sensors deployed in the operating environment of the hydropower project. The collected temperature and humidity related data include temperature transient change value Tst, humidity cumulative change rate Hac, temperature and humidity interaction fluctuation value Tiw and dew point deviation value Ddp. The environmental temperature and humidity coefficient Fth is calculated by the following formula: .

[0020] Preferably, step 4 specifically further includes: The preset ambient temperature and humidity correction threshold R is compared with the ambient temperature and humidity coefficient Fth for evaluation, and the wire rope magnetic field signal is compensated for temperature and humidity based on the ambient temperature and humidity coefficient Fth. The specific contents are as follows: If the ambient temperature and humidity coefficient Fth ≤ the ambient temperature and humidity correction threshold R, the ambient temperature and humidity coefficient Fth is within the normal range, indicating that the influence of ambient temperature and humidity on the magnetic field signal can be ignored or is within the controllable range, and no further compensation is required; If the ambient temperature and humidity coefficient Fth> the ambient temperature and humidity correction threshold R, the ambient temperature and humidity coefficient Fth exceeds the normal range, indicating that the influence of ambient temperature and humidity on the magnetic field signal is uncontrollable. At this time, the temperature and humidity compensation process is started to correct the magnetic field signal.

[0021] Preferably, step five specifically includes: The specific calculation formula of the safety assessment index Apzs of the wire rope is as follows:

[0022] The safety assessment threshold Z is preset, and the safety assessment index Apzs is compared and analyzed with the safety assessment threshold to evaluate the current safety status of the wire rope. The specific contents are as follows: When the safety assessment index Apzs ≤ the safety assessment threshold Z, the wire rope is judged to be in a safe state and there is no abnormality; the system records the current state as normal and prompts to continue monitoring; When the safety assessment index Apzs>safety assessment threshold Z, it is determined that the wire rope has potential safety risks and abnormalities; the system automatically triggers the early warning mechanism, marks the abnormal state, and recommends further investigation of the cause; A hydropower engineering ferromagnetic steel wire rope safety monitoring system, including a magnetic field signal monitoring and early warning module, an electromagnetic interference source analysis and signal correction module, a magnetic field attenuation correction module, a temperature and humidity compensation module, and a safety assessment and performance evaluation module; The magnetic field signal monitoring and early warning module is used to obtain the electronic distribution map of the steel wire rope in the hydropower project in advance, and monitor the magnetic field signal related data of the steel wire rope in real time through the sensor arranged on the steel wire rope, and construct a magnetic field strength state data set; then the magnetic field variation coefficient Byx is calculated based on the magnetic field strength state data set, and the magnetic field variation threshold Q is pre-set, and the magnetic field variation coefficient Byx is compared and analyzed with the magnetic field variation threshold Q to evaluate the relative intensity of the current steel wire rope magnetic field change. If an abnormal fluctuation is detected, a magnetic field interference early warning instruction is issued; The electromagnetic interference source analysis and signal correction module is used to monitor the possible electromagnetic interference sources in the hydropower project after receiving the magnetic field interference warning instruction, and obtain electromagnetic interference related data in real time through the electromagnetic interference sensor; calculate and evaluate the interference signal strength Cjd, and combine the filtering algorithm to eliminate the interference signal; The magnetic field attenuation correction module is used to obtain and evaluate the magnetic field attenuation correction factor Tda based on the real-time acquired wire rope magnetic field signal related data, combined with the wire rope service life related data and the wire rope surface condition related data, and correct the magnetic field signal attenuation caused by equipment aging and dirt accumulation according to the evaluation content of the magnetic field attenuation correction factor Tda; The temperature and humidity compensation module is used to collect and combine the temperature and humidity related data of the hydropower project operation environment in real time, obtain and evaluate the environmental temperature and humidity coefficient Fth, and perform temperature and humidity compensation on the wire rope magnetic field signal through the environmental temperature and humidity coefficient Fth; The safety assessment and performance evaluation module is used to extract the wire rope interference signal strength Cjd, the magnetic induction attenuation coefficient Fda and the ambient temperature and humidity coefficient Fth, and then obtain the wire rope safety assessment index Apzs by calculation after numerical normalization; and compare and analyze the safety assessment index Apzs with the preset safety assessment threshold Z to evaluate the current safety status of the wire rope and generate a performance evaluation report, which includes a series of contents such as equipment information, monitoring information, trend chart, evaluation information, early warning and alarm records.

[0023] The present invention provides a method and system for safety monitoring of ferromagnetic steel wire ropes in hydropower projects. It has the following beneficial effects: (1) A method and system for safety monitoring of ferromagnetic steel wire ropes in hydropower projects. Aiming at the problem of magnetic field interference, this technical solution realizes real-time monitoring and processing through a magnetic field signal monitoring and early warning module and an electromagnetic interference source analysis and signal correction module. Among them, a magnetic field sensor arranged on the steel wire rope is used to collect magnetic field signal related data, calculate the magnetic field variation coefficient Byx, and compare and analyze the magnetic field variation threshold Q to detect abnormal magnetic field fluctuations and issue a magnetic field interference early warning instruction. At the same time, an electromagnetic interference sensor is used to collect electromagnetic interference intensity data Cjd, frequency distribution value Cpl, interference signal-to-noise ratio Cxz and interference signal duration Cgr, and a filtering algorithm is used to eliminate interference signals, thereby improving the system's ability to suppress electromagnetic interference and ensuring the accuracy and reliability of magnetic field signal monitoring. (2) A method and system for safety monitoring of ferromagnetic steel wire ropes in hydropower projects. Aiming at the attenuation of magnetic induction signals, this technical solution uses a magnetic field attenuation correction module, combined with the average number of maintenance intervals Miv and the cumulative operating load time Lrt in the steel wire rope operation record, as well as the mean dirt thickness Dtm and surface crack density Crd obtained by the surface scanning sensor, and calculates the magnetic field attenuation correction factor Tda based on the magnetic signal attenuation rate Bdr of the magnetic field signal. By comparing and analyzing with the magnetic field attenuation correction threshold EE, the influence of equipment aging and dirt accumulation on the magnetic field signal is evaluated; the correction process is started according to the evaluation content, and the amplitude compensation and dynamic trend adjustment of the magnetic field signal are performed, thereby eliminating the interference of signal attenuation on the monitoring accuracy; (3) A method and system for safety monitoring of ferromagnetic steel wire ropes in hydropower projects. Aiming at the sensitivity to temperature and humidity, this technical solution collects environmental temperature and humidity related data through a temperature and humidity compensation module, including temperature transient change value TstTst, humidity cumulative change rate Hac, temperature and humidity interaction fluctuation value Tiw and dew point deviation value Ddp, and calculates the environmental temperature and humidity correction coefficient Fth; a comparative analysis is performed in combination with the preset environmental temperature and humidity correction threshold R, and the temperature and humidity compensation process is started according to the evaluation content to correct the influence of temperature and humidity on the magnetic field signal, thereby ensuring the stability and accuracy of the magnetic field signal; finally, the safety assessment index Apzs is calculated by extracting the interference signal strength Cjd, the magnetic induction attenuation coefficient Fda and the environmental temperature and humidity correction coefficient Fth, the safety status of the steel wire rope is evaluated and a performance evaluation report is generated, providing a reliable basis for operation maintenance and risk management. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 A schematic diagram of the steps of a method for safety monitoring of ferromagnetic steel wire ropes in hydropower projects according to the present invention; Figure 2 This is a schematic diagram of the framework structure of a hydropower project ferromagnetic steel wire rope safety monitoring system according to the present invention; DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] Example 1 See also Figure 1 The present invention provides a method for safety monitoring of ferromagnetic steel wire ropes in hydropower projects, comprising the following steps: Step 1: Obtain the electronic distribution map of the steel wire rope in the hydropower project in advance, and monitor the magnetic field signal related data of the steel wire rope in real time through the sensor arranged on the steel wire rope, and construct a magnetic field strength state data set; then calculate and obtain the magnetic field variation coefficient Byx based on the magnetic field strength state data set, and pre-set the magnetic field variation threshold Q, and compare and analyze the magnetic field variation coefficient Byx with the magnetic field variation threshold Q to evaluate the relative intensity of the current steel wire rope magnetic field change. If an abnormal fluctuation is detected, a magnetic field interference warning instruction is issued; Step 2: After receiving the magnetic field interference warning instruction, monitor the possible electromagnetic interference sources in the hydropower project, and obtain electromagnetic interference related data in real time through the electromagnetic interference sensor; calculate and evaluate the interference signal strength Cjd, and combine the filtering algorithm to eliminate the interference signal; Step 3: Based on the real-time data related to the magnetic field signal of the wire rope, combined with the data related to the service life of the wire rope and the data related to the surface condition of the wire rope, the magnetic field attenuation correction factor Tda is obtained and evaluated, and the magnetic field signal attenuation caused by equipment aging and dirt accumulation is corrected according to the evaluation content of the magnetic field attenuation correction factor Tda; Step 4: Real-time collection and combination of temperature and humidity related data of the hydropower project operation environment, obtain and evaluate the environmental temperature and humidity coefficient Fth, and perform temperature and humidity compensation on the wire rope magnetic field signal through the environmental temperature and humidity coefficient Fth; Step 5. After extracting the wire rope interference signal strength Cjd, the magnetic induction attenuation coefficient Fda and the ambient temperature and humidity coefficient Fth and normalizing them numerically, the wire rope safety assessment index Apzs is obtained by calculation; and the safety assessment index Apzs is compared and analyzed with the preset safety assessment threshold Z to evaluate the current safety status of the wire rope and generate a performance evaluation report, which includes a series of contents such as equipment information, monitoring information, trend chart, evaluation information, early warning and alarm records.

[0027] In this embodiment, through step 1, the magnetic field sensor is used to collect the relevant data of the magnetic field signal of the wire rope, the magnetic field variation coefficient Byx is calculated, and the magnetic field variation threshold Q is compared and analyzed, so as to realize the real-time monitoring and early warning of the magnetic field change of the wire rope, and can effectively detect the abnormal fluctuation of the magnetic field and issue the magnetic field interference early warning instruction, thereby improving the sensitivity and response speed of the monitoring; Through step 2, the electromagnetic interference sensor is used to collect electromagnetic interference intensity data Cjd, frequency distribution value Cpl, interference signal-to-noise ratio Cxz and interference signal duration Cgr, and the interference signal is eliminated by combining the filtering algorithm, which significantly improves the system's ability to suppress electromagnetic interference and ensures the reliability of magnetic field signal monitoring; Through step 3, the magnetic field attenuation correction factor TdaTda is calculated by combining the average number of maintenance intervals Miv, the cumulative operating load time Lrt, the mean dirt thickness Dtm, the surface crack density Crd and the magnetic signal attenuation rate Bdr in the operation record of the wire rope, and the signal correction process is started based on the comparison evaluation between the magnetic field attenuation correction factor TdaTda and the magnetic field attenuation correction threshold E, so as to achieve accurate correction of the magnetic field signal attenuation caused by equipment aging and dirt accumulation, thereby ensuring the monitoring accuracy; Through step 4, the temperature and humidity related data are collected, the ambient temperature and humidity correction coefficient Fth is calculated, and the magnetic field signal is compensated in combination with the ambient temperature and humidity correction threshold R, eliminating the interference of temperature and humidity changes on the magnetic field signal, further ensuring the stability and accuracy of the signal; Through step five, the safety assessment index Apzs of the wire rope is calculated and compared with the safety assessment threshold ZZ, which enables an accurate assessment of the current safety status of the wire rope and generates a performance evaluation report, providing a reliable basis for operation, maintenance and risk management.

[0028] Example 2 Step 1 specifically includes: The magnetic field sensor arranged on the wire rope monitors the magnetic field signal of the wire rope in real time, obtains the magnetic field signal related data, pre-processes the collected magnetic field signal related data, including denoising and format conversion, and finally constructs the magnetic field strength state data set; by extracting the magnetic field strength mean value Bcq, magnetic field fluctuation amplitude Bfd, sensor calibration parameter Bjz and interval duration Bjs from the magnetic field strength state data set, the magnetic field variation coefficient Byx is calculated by combining the following formula:

[0029] Among them, the specific comparative evaluation contents of the magnetic field variation coefficient Byx and the magnetic field variation threshold Q are as follows: If the magnetic field variation coefficient Byx ≤ the magnetic field variation threshold Q, the magnetic field variation is within the normal range, and the wire rope magnetic field is determined to be in a stable state without interference fluctuations.

[0030] If the magnetic field variation coefficient Byx>magnetic field variation threshold Q, the magnetic field variation exceeds the normal range, and it is determined that the wire rope magnetic field fluctuates abnormally, is disturbed, or the wire rope state has potential risks.

[0031] In this embodiment, through the implementation of step one, the method can realize accurate monitoring and real-time evaluation of the magnetic field signal of the wire rope, ensure the stability of the magnetic field signal and the safety of the wire rope operation; the magnetic field sensor arranged on the wire rope obtains the magnetic field signal related data in real time, and performs denoising and format conversion on the data to construct a magnetic field strength state data set, providing a high-quality data basis for subsequent evaluation; the collected magnetic field intensity mean Bcq reflects the overall level of the magnetic field signal of the wire rope, which is used to quantify the basic state of the magnetic field; the magnetic field fluctuation amplitude Bfd represents the dynamic change range of the magnetic field signal, which is used to capture abnormal fluctuation characteristics; the sensor calibration parameter Bjz is used to correct the measurement error of the sensor to ensure the accuracy of the magnetic field signal; the interval duration Bjs is used to describe the time dimension of signal sampling to ensure the time consistency of data analysis; the magnetic field variation coefficient Byx calculated by the formula combines the stability and dynamic fluctuation characteristics of the magnetic field signal; the magnetic field variation coefficient Byx is evaluated, and when the magnetic field signal is disturbed or there is a potential risk in the wire rope state, an early warning can be issued in time, providing a reliable basis for subsequent processing, thereby effectively improving the monitoring sensitivity and operation reliability of the system.

[0032] Example 3 Step 2 specifically includes: Through the electromagnetic interference sensors arranged in the hydropower project, the possible electromagnetic interference sources are monitored in real time to obtain electromagnetic interference related data, including the intensity data and frequency characteristic data of the interference signal; then the collected electromagnetic interference related data are preprocessed, including signal filtering, normalization processing and noise removal; based on the preprocessed data, the interference signal strength Cjd is calculated, and the specific calculation formula is as follows:

[0033] In the formula, Cxh represents the signal amplitude in the electromagnetic interference related data, Cpl represents the frequency distribution value in the electromagnetic interference related data, Cxz represents the interference signal-to-noise ratio in the electromagnetic interference related data, and Cgr represents the duration of the interference signal in the electromagnetic interference related data. The interference signal is eliminated by combining the filtering algorithm.

[0034] Step 2 specifically includes: The preset interference intensity threshold W is compared and evaluated with the interference signal intensity Cjd. The specific contents are as follows: If the interference signal strength Cjd≤interference strength threshold W, the interference strength is within the controllable range, and it is determined that the interference signal has no effect on wire rope monitoring, and no interference elimination measures are required.

[0035] If the interference signal strength Cjd>interference strength threshold W, the interference strength exceeds the controllable range, and it is determined that the interference signal affects the wire rope monitoring, and the filtering algorithm needs to be started to eliminate the interference.

[0036] Step three includes: The service life data of the wire rope are extracted by using the operation records and equipment maintenance files; the surface condition data of the wire rope are collected by visual monitoring equipment and surface scanning sensors; based on the service life data, surface condition data and wire rope magnetic field signal data, the magnetic field attenuation correction factor Tda is calculated by combining the following formula:

[0037] Wherein, Miv represents the average number of maintenance intervals in the service life related data, Lrt represents the cumulative operating load time in the service life related data; Dtm represents the mean dirt thickness in the surface condition related data, Crd represents the surface crack density in the surface condition related data; Bdr represents the magnetic signal attenuation rate in the wire rope magnetic field signal related data.

[0038] Step three also includes: By comparing and evaluating the preset magnetic field attenuation correction threshold E and the magnetic field attenuation correction factor Tda, the magnetic field signal attenuation caused by equipment aging and dirt accumulation is corrected. The specific contents are as follows: The magnetic field attenuation correction factor Tda≤the magnetic field attenuation correction threshold E, indicating that the magnetic field attenuation correction factor Tda is within a normal range, and it is determined that equipment aging and surface dirt have no effect on the magnetic field signal, and no further correction is required.

[0039] The magnetic field attenuation correction factor Tda> the magnetic field attenuation correction threshold E indicates that the magnetic field attenuation correction factor Tda exceeds the normal range, and it is determined that equipment aging and surface dirt have an attenuation effect on the magnetic field signal. At this time, the correction process is started, including amplitude compensation and dynamic trend adjustment of the magnetic field strength signal.

[0040] Step 4 specifically includes: The temperature and humidity related data are collected by high-frequency temperature sensors and humidity sensors deployed in the operating environment of the hydropower project. The collected temperature and humidity related data include temperature transient change value Tst, humidity cumulative change rate Hac, temperature and humidity interaction fluctuation value Tiw and dew point deviation value Ddp. The environmental temperature and humidity coefficient Fth is calculated by the following formula:

[0041] The preset ambient temperature and humidity correction threshold R is compared with the ambient temperature and humidity coefficient Fth for evaluation, and the wire rope magnetic field signal is compensated for temperature and humidity based on the ambient temperature and humidity coefficient Fth. The specific contents are as follows: If the ambient temperature and humidity coefficient Fth ≤ the ambient temperature and humidity correction threshold R, the ambient temperature and humidity coefficient Fth is within the normal range, indicating that the influence of ambient temperature and humidity on the magnetic field signal can be ignored or is within the controllable range, and no further compensation is required; If the ambient temperature and humidity coefficient Fth> the ambient temperature and humidity correction threshold R, the ambient temperature and humidity coefficient Fth exceeds the normal range, indicating that the influence of ambient temperature and humidity on the magnetic field signal is uncontrollable. At this time, the temperature and humidity compensation process is started to correct the magnetic field signal.

[0042] In this embodiment, through the synergistic effect of each step, comprehensive monitoring and dynamic correction of the magnetic field signal of the wire rope are achieved, thereby improving the safety and reliability of the system; in step 2, electromagnetic interference sensors are arranged to obtain electromagnetic interference intensity data Cjd, frequency distribution value Cpl, interference signal-to-noise ratio Cxz and interference signal duration Cgr in real time, and the interference signal is effectively eliminated in combination with a filtering algorithm, thereby ensuring the accuracy of the magnetic field signal of the wire rope; at the same time, by comparing and analyzing the interference signal intensity Cjd with the interference intensity threshold W, dynamic evaluation and graded response of electromagnetic interference are achieved; in step 3, the magnetic field attenuation correction factor Tda is calculated by combining the average number of maintenance intervals Miv, the accumulated operating load time Lrt, the mean dirt thickness Dtm, the surface crack density Crd and the magnetic signal attenuation rate Bdr, and the magnetic field attenuation correction factor Tda is calculated by comparing the magnetic field attenuation correction threshold EE The comparative analysis starts the correction process, realizing the accurate correction of the attenuation of the magnetic field signal caused by equipment aging and surface dirt accumulation; Step 4 collects temperature and humidity related data by deploying temperature and humidity sensors, including temperature transient change value Tst, humidity cumulative change rate Hac, temperature and humidity interaction fluctuation value Tiw and dew point deviation value Ddp, calculates the ambient temperature and humidity correction coefficient Fth, and performs comparative analysis in combination with the ambient temperature and humidity correction threshold R, starts the temperature and humidity compensation process to correct the magnetic field signal, and eliminates the interference of temperature and humidity on the magnetic field signal; All steps work together to realize the dynamic evaluation and real-time correction of the wire rope operation status, providing a strong guarantee for the stability of equipment operation and risk management.

[0043] Example 4 Step 5 specifically includes: The specific calculation formula of the safety assessment index Apzs of the wire rope is as follows:

[0044] The safety assessment threshold Z is preset, and the safety assessment index Apzs is compared and analyzed with the safety assessment threshold to evaluate the current safety status of the wire rope. The specific contents are as follows: When the safety assessment index Apzs ≤ the safety assessment threshold Z, the wire rope is judged to be in a safe state and there is no abnormality; the system records the current state as "normal" and prompts to continue monitoring; When the safety assessment index Apzs>safety assessment threshold Z, it is determined that the wire rope has potential safety risks and abnormalities; the system automatically triggers the early warning mechanism, marks the abnormal status, and recommends further investigation of the cause.

[0045] In this embodiment, through the implementation of step five, an accurate assessment of the safety status of the wire rope is achieved, providing reliable protection for the operation of the system; by extracting the wire rope interference signal strength Cjd, the magnetic induction attenuation coefficient Fda and the ambient temperature and humidity correction coefficient Fth, and using the formula to calculate the wire rope safety assessment index Apzs, the impact of magnetic field interference, signal attenuation and environmental factors on the operation status of the wire rope is comprehensively quantified; the safety assessment index Apzs is compared and analyzed with the preset safety assessment threshold Z to achieve a quantitative assessment of the current status of the wire rope; when the safety assessment index Apzs is greater than the preset safety assessment threshold Z, the system determines that the wire rope has potential risks or abnormalities, automatically triggers the early warning mechanism and marks the abnormal state, and generates further investigation suggestions to provide a decision-making basis for maintenance personnel; this step integrates multi-dimensional parameters into a unified evaluation result, greatly improving the efficiency and accuracy of the monitoring system, and providing scientific support for the safe operation and risk control of the wire rope.

[0046] Example 5 See also Figure 2 , a safety monitoring system for ferromagnetic steel wire ropes in hydropower projects, including a magnetic field signal monitoring and early warning module, an electromagnetic interference source analysis and signal correction module, a magnetic field attenuation correction module, a temperature and humidity compensation module, and a safety assessment and performance evaluation module; The magnetic field signal monitoring and early warning module is used to obtain the electronic distribution map of the steel wire rope in the hydropower project in advance, and monitor the magnetic field signal related data of the steel wire rope in real time through the sensor arranged on the steel wire rope, and construct a magnetic field strength state data set; then the magnetic field variation coefficient Byx is calculated based on the magnetic field strength state data set, and the magnetic field variation threshold Q is pre-set, and the magnetic field variation coefficient Byx is compared and analyzed with the magnetic field variation threshold Q to evaluate the relative intensity of the current steel wire rope magnetic field change. If an abnormal fluctuation is detected, a magnetic field interference early warning instruction is issued; The electromagnetic interference source analysis and signal correction module is used to monitor the possible electromagnetic interference sources in the hydropower project after receiving the magnetic field interference warning instruction, and obtain electromagnetic interference related data in real time through the electromagnetic interference sensor; calculate and evaluate the interference signal strength Cjd, and combine the filtering algorithm to eliminate the interference signal; The magnetic field attenuation correction module is used to obtain and evaluate the magnetic field attenuation correction factor Tda based on the real-time acquired wire rope magnetic field signal related data, combined with the wire rope service life related data and the wire rope surface condition related data, and correct the magnetic field signal attenuation caused by equipment aging and dirt accumulation according to the evaluation content of the magnetic field attenuation correction factor Tda; The temperature and humidity compensation module is used to collect and combine the temperature and humidity related data of the hydropower project operation environment in real time, obtain and evaluate the environmental temperature and humidity coefficient Fth, and perform temperature and humidity compensation on the wire rope magnetic field signal through the environmental temperature and humidity coefficient Fth; The safety assessment and performance evaluation module is used to extract the wire rope interference signal strength Cjd, the magnetic induction attenuation coefficient Fda and the ambient temperature and humidity coefficient Fth, and then obtain the wire rope safety assessment index Apzs by calculation after numerical normalization; and compare and analyze the safety assessment index Apzs with the preset safety assessment threshold Z to evaluate the current safety status of the wire rope and generate a performance evaluation report, which includes a series of contents such as equipment information, monitoring information, trend chart, evaluation information, early warning and alarm records.

[0047] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for safety monitoring of ferromagnetic steel wire ropes in hydropower projects, characterized by: The following steps are involved: Step 1: Obtain the electronic distribution map of the steel wire rope in the hydropower project in advance, and monitor the magnetic field signal related data of the steel wire rope in real time through the sensor arranged on the steel wire rope, and construct a magnetic field strength state data set; then calculate and obtain the magnetic field variation coefficient Byx based on the magnetic field strength state data set, and pre-set the magnetic field variation threshold Q, and compare and analyze the magnetic field variation coefficient Byx with the magnetic field variation threshold Q to evaluate the relative intensity of the current steel wire rope magnetic field change. If an abnormal fluctuation is detected, a magnetic field interference warning instruction is issued; Step 2: After receiving the magnetic field interference warning instruction, monitor the possible electromagnetic interference sources in the hydropower project, and obtain electromagnetic interference related data in real time through the electromagnetic interference sensor; calculate and evaluate the interference signal strength Cjd, and combine the filtering algorithm to eliminate the interference signal; Step 3: Based on the real-time data related to the magnetic field signal of the wire rope, combined with the data related to the service life of the wire rope and the data related to the surface condition of the wire rope, the magnetic field attenuation correction factor Tda is obtained and evaluated, and the magnetic field signal attenuation caused by equipment aging and dirt accumulation is corrected according to the evaluation content of the magnetic field attenuation correction factor Tda; Step 4: Real-time collection and combination of temperature and humidity related data of the hydropower project operation environment, obtain and evaluate the environmental temperature and humidity coefficient Fth, and use the environmental temperature and humidity coefficient Fth to perform temperature and humidity compensation on the wire rope magnetic field signal; Step 5: After extracting the wire rope interference signal strength Cjd, the magnetic induction attenuation coefficient Fda and the ambient temperature and humidity coefficient Fth and normalizing them numerically, the wire rope safety assessment index Apzs is obtained by calculation; The safety assessment index Apzs is compared and analyzed with the preset safety assessment threshold Z to evaluate the current safety status of the wire rope and generate a performance evaluation report, which includes equipment information, monitoring information, trend charts, evaluation information, early warning and alarm records.

2. A method for safety monitoring of ferromagnetic steel wire ropes in hydropower projects according to claim 1, characterized in that: Step 1 specifically includes: The magnetic field sensor arranged on the wire rope monitors the magnetic field signal of the wire rope in real time, obtains the magnetic field signal related data, pre-processes the collected magnetic field signal related data, including denoising and format conversion, and finally constructs the magnetic field strength state data set; by extracting the magnetic field strength mean value Bcq, magnetic field fluctuation amplitude Bfd, sensor calibration parameter Bjz and interval duration Bjs from the magnetic field strength state data set, the magnetic field variation coefficient Byx is calculated by combining the following formula: Among them, the specific comparative evaluation contents of the magnetic field variation coefficient Byx and the magnetic field variation threshold Q are as follows: If the magnetic field variation coefficient Byx ≤ the magnetic field variation threshold Q, the magnetic field variation is within the normal range, and the wire rope magnetic field is determined to be in a stable state without interference fluctuations; If the magnetic field variation coefficient Byx>magnetic field variation threshold Q, the magnetic field variation exceeds the normal range, and it is determined that the wire rope magnetic field fluctuates abnormally, is disturbed, or the wire rope state has potential risks.

3. A method for safety monitoring of ferromagnetic steel wire ropes in hydropower projects according to claim 1, characterized in that: Step 2 specifically includes: Through the electromagnetic interference sensors arranged in the hydropower project, the possible electromagnetic interference sources are monitored in real time to obtain electromagnetic interference related data, including the intensity data and frequency characteristic data of the interference signal; then the collected electromagnetic interference related data are preprocessed, including signal filtering, normalization processing and noise removal; based on the preprocessed data, the interference signal strength Cjd is calculated, and the specific calculation formula is as follows: In the formula, Cxh represents the signal amplitude in the electromagnetic interference related data, Cpl represents the frequency distribution value in the electromagnetic interference related data, Cxz represents the interference signal-to-noise ratio in the electromagnetic interference related data, and Cgr represents the duration of the interference signal in the electromagnetic interference related data. The interference signal is eliminated by combining the filtering algorithm.

4. A method for safety monitoring of ferromagnetic steel wire ropes in hydropower projects according to claim 1, characterized in that: Step 2 specifically includes: The preset interference intensity threshold W is compared and evaluated with the interference signal intensity Cjd. The specific contents are as follows: If the interference signal strength Cjd≤interference strength threshold W, the interference strength is within the controllable range, and it is determined that the interference signal has no effect on wire rope monitoring, and no interference elimination measures are required; If the interference signal strength Cjd>interference strength threshold W, the interference strength exceeds the controllable range, and it is determined that the interference signal affects the wire rope monitoring, and the filtering algorithm needs to be started to eliminate the interference.

5. A method for safety monitoring of ferromagnetic steel wire ropes in hydropower projects according to claim 1, characterized in that: Step three includes: The service life data of the wire rope are extracted by using the operation records and equipment maintenance files; the surface condition data of the wire rope are collected by visual monitoring equipment and surface scanning sensors; based on the service life data, surface condition data and wire rope magnetic field signal data, the magnetic field attenuation correction factor Tda is calculated by combining the following formula: Wherein, Miv represents the average number of maintenance intervals in the service life related data, Lrt represents the cumulative operating load time in the service life related data; Dtm represents the mean dirt thickness in the surface condition related data, Crd represents the surface crack density in the surface condition related data; Bdr represents the magnetic signal attenuation rate in the wire rope magnetic field signal related data.

6. A method for safety monitoring of ferromagnetic steel wire ropes in hydropower projects according to claim 1, characterized in that: Step three also includes: By comparing and evaluating the preset magnetic field attenuation correction threshold E and the magnetic field attenuation correction factor Tda, the magnetic field signal attenuation caused by equipment aging and dirt accumulation is corrected. The specific contents are as follows: The magnetic field attenuation correction factor Tda ≤ the magnetic field attenuation correction threshold E, indicating that the magnetic field attenuation correction factor Tda is within the normal range, and it is determined that the aging of the equipment and the surface dirt have no effect on the magnetic field signal, and no further correction is required; The magnetic field attenuation correction factor Tda> the magnetic field attenuation correction threshold E indicates that the magnetic field attenuation correction factor Tda exceeds the normal range, and it is determined that equipment aging and surface dirt have an attenuation effect on the magnetic field signal. At this time, the correction process is started, including amplitude compensation and dynamic trend adjustment of the magnetic field strength signal.

7. A method for safety monitoring of ferromagnetic steel wire ropes in hydropower projects according to claim 1, characterized in that: Step 4 specifically includes: The temperature and humidity related data are collected by high-frequency temperature sensors and humidity sensors deployed in the operating environment of the hydropower project. The collected temperature and humidity related data include temperature transient change value Tst, humidity cumulative change rate Hac, temperature and humidity interaction fluctuation value Tiw and dew point deviation value Ddp. The environmental temperature and humidity coefficient Fth is calculated by the following formula: 。 8. A method for safety monitoring of ferromagnetic steel wire ropes in hydropower projects according to claim 1, characterized in that: Step 4 specifically includes: The preset ambient temperature and humidity correction threshold R is compared with the ambient temperature and humidity coefficient Fth for evaluation, and the wire rope magnetic field signal is compensated for temperature and humidity based on the ambient temperature and humidity coefficient Fth. The specific contents are as follows: If the ambient temperature and humidity coefficient Fth ≤ the ambient temperature and humidity correction threshold R, the ambient temperature and humidity coefficient Fth is within the normal range, indicating that the influence of ambient temperature and humidity on the magnetic field signal can be ignored or is within the controllable range, and no further compensation is required; If the ambient temperature and humidity coefficient Fth> the ambient temperature and humidity correction threshold R, the ambient temperature and humidity coefficient Fth exceeds the normal range, indicating that the influence of ambient temperature and humidity on the magnetic field signal is uncontrollable. At this time, the temperature and humidity compensation process is started to correct the magnetic field signal.

9. A method for safety monitoring of ferromagnetic steel wire ropes in hydropower projects according to claim 1, characterized in that: Step 5 specifically includes: The specific calculation formula of the safety assessment index Apzs of the wire rope is as follows: The safety assessment threshold Z is preset, and the safety assessment index Apzs is compared and analyzed with the safety assessment threshold to evaluate the current safety status of the wire rope. The specific contents are as follows: When the safety assessment index Apzs ≤ the safety assessment threshold Z, the wire rope is judged to be in a safe state and there is no abnormality; the system records the current state as normal and prompts to continue monitoring; When the safety assessment index Apzs>safety assessment threshold Z, it is determined that the wire rope has potential safety risks and abnormalities; the system automatically triggers the early warning mechanism, marks the abnormal status, and recommends further investigation of the cause.

10. A hydropower project ferromagnetic steel wire rope safety monitoring system, according to the hydropower project ferromagnetic steel wire rope safety monitoring method of claim 1, characterized in that: It includes magnetic field signal monitoring and early warning module, electromagnetic interference source analysis and signal correction module, magnetic field attenuation correction module, temperature and humidity compensation module and safety assessment and performance evaluation module; The magnetic field signal monitoring and early warning module is used to obtain the electronic distribution map of the steel wire rope in the hydropower project in advance, and monitor the magnetic field signal related data of the steel wire rope in real time through the sensor arranged on the steel wire rope, and construct a magnetic field strength state data set; then the magnetic field variation coefficient Byx is calculated based on the magnetic field strength state data set, and the magnetic field variation threshold Q is pre-set, and the magnetic field variation coefficient Byx is compared and analyzed with the magnetic field variation threshold Q to evaluate the relative intensity of the current steel wire rope magnetic field change. If an abnormal fluctuation is detected, a magnetic field interference early warning instruction is issued; The electromagnetic interference source analysis and signal correction module is used to monitor the possible electromagnetic interference sources in the hydropower project after receiving the magnetic field interference warning instruction, and obtain electromagnetic interference related data in real time through the electromagnetic interference sensor; calculate and evaluate the interference signal strength Cjd, and combine the filtering algorithm to eliminate the interference signal; The magnetic field attenuation correction module is used to obtain and evaluate the magnetic field attenuation correction factor Tda based on the real-time acquired wire rope magnetic field signal related data, combined with the wire rope service life related data and the wire rope surface condition related data, and correct the magnetic field signal attenuation caused by equipment aging and dirt accumulation according to the evaluation content of the magnetic field attenuation correction factor Tda; The temperature and humidity compensation module is used to collect and combine the temperature and humidity related data of the hydropower project operation environment in real time, obtain and evaluate the environmental temperature and humidity coefficient Fth, and perform temperature and humidity compensation on the wire rope magnetic field signal through the environmental temperature and humidity coefficient Fth; The safety assessment and performance evaluation module is used to extract the wire rope interference signal strength Cjd, the magnetic induction attenuation coefficient Fda and the ambient temperature and humidity coefficient Fth, and then perform numerical normalization to obtain the wire rope safety assessment index Apzs by calculation; The safety assessment index Apzs is compared and analyzed with the preset safety assessment threshold Z to evaluate the current safety status of the wire rope and generate a performance evaluation report, which includes equipment information, monitoring information, trend charts, evaluation information, early warning and alarm records.

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